From 6c201ba5549512ef1fb8b1b380d2d0d9ed87fb4a Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Fri, 14 May 2021 08:56:12 -0500 Subject: [PATCH 001/126] Solve bug for FileSaver.js deleted dependency --- .gitignore | 2 ++ Brocfile.js | 2 +- bower.json | 2 +- 3 files changed, 4 insertions(+), 2 deletions(-) diff --git a/.gitignore b/.gitignore index 2d333cdd..53eafe8c 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,8 @@ # compiled output /dist /tmp +.idea/ +package-lock.json # dependencies /node_modules diff --git a/Brocfile.js b/Brocfile.js index c92c963b..224d3eb2 100644 --- a/Brocfile.js +++ b/Brocfile.js @@ -42,7 +42,7 @@ var app = new EmberApp({ }); // FileSaver -app.import('bower_components/FileSaver.js/FileSaver.min.js'); +app.import('bower_components/FileSaver.js/dist/FileSaver.min.js'); // PapaParse app.import('bower_components/papaparse/papaparse.min.js'); diff --git a/bower.json b/bower.json index 22084097..99fa1945 100644 --- a/bower.json +++ b/bower.json @@ -26,7 +26,7 @@ }, "devDependencies": { "d3": "~3.5.5", - "FileSaver.js": "~0.0.2", + "FileSaver.js": "https://github.com/eligrey/FileSaver.js.git#v2.0.4", "papaparse": "~4.1.2", "vis-toolkit": "https://github.com/cid-harvard/vis-toolkit.git#master" }, From 35ec817dc2c85fcb223854fcdf4c4184393c363a Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Fri, 11 Jun 2021 19:03:56 -0500 Subject: [PATCH 002/126] Add styles to home --- app/controllers/index.js | 2 +- app/index.html | 8 +- app/locales/en-col/translations.js | 24 +- app/locales/en-col/translations.original | 568 +++++++++++++++ app/locales/en-col/translations_2016.js | 657 ++++++++++++++++++ app/locales/en-col/translationsold.js | 568 +++++++++++++++ app/locales/es-col/translations.js | 40 +- app/locales/es-col/translations.original | 568 +++++++++++++++ app/locales/es-col/translations_2016.js | 657 ++++++++++++++++++ app/locales/es-col/translationsold.js | 568 +++++++++++++++ .../components/_components/_button.scss | 7 +- 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public/assets/font/RF_Rufo/RFRufo-Bold.ttf create mode 100644 public/assets/font/RF_Rufo/RFRufo-Light.ttf create mode 100644 public/assets/font/RF_Rufo/RFRufo-Regular.ttf create mode 100644 public/assets/img/branding/bancoldex-white.svg create mode 100644 public/assets/img/branding/ico_grafico_composicion.svg create mode 100644 public/assets/img/branding/ico_grafico_de_areas.svg create mode 100644 public/assets/img/branding/ico_grafico_de_dispersion.svg create mode 100644 public/assets/img/branding/ico_mapa_colombia.svg create mode 100644 public/assets/img/branding/ico_mapa_de_sectores.svg create mode 100644 public/assets/img/branding/ico_mapa_geografico.svg create mode 100644 public/assets/img/logos/mark_bancoldex.svg create mode 100644 public/assets/img/logos/mark_fundacion.svg create mode 100644 public/assets/img/logos/mark_presidencia.svg diff --git a/app/controllers/index.js b/app/controllers/index.js index c8971473..6f86388e 100644 --- a/app/controllers/index.js +++ b/app/controllers/index.js @@ -4,7 +4,7 @@ const {computed, get} = Ember; export default Ember.Controller.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - + needs: ['search'], firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), agcensusLastYear: computed.alias('featureToggle.year_ranges.agcensus.last_year'), diff --git a/app/index.html b/app/index.html index 2c57d0cb..0f3708ef 100644 --- a/app/index.html +++ b/app/index.html @@ -21,6 +21,9 @@ + + + @@ -28,8 +31,8 @@ {{content-for 'head'}} - - + + @@ -40,6 +43,7 @@ + {{content-for 'body-footer'}} diff --git a/app/locales/en-col/translations.js b/app/locales/en-col/translations.js index 93518540..903184ba 100644 --- a/app/locales/en-col/translations.js +++ b/app/locales/en-col/translations.js @@ -39,17 +39,17 @@ export default { "country.show.dotplot-column": "Departments Across Colombia", "country.show.eci": "0.037", "country.show.economic_structure": "Economic Structure", - "country.show.economic_structure.copy.p1": "With a population of 49.5 million (as of December 2017), Colombia is the third largest country in Latin America. Its total GDP in 2016 was Col$772.4 trillion, or US$253.2 billion at the average exchange rate of 2016 (1 US dollar = 3.050 Colombian pesos). In 2016, income per capita reached Col$17.708.353 or US$5.806 . Colombia\u2019s economic growth rate hits 2% in 2016.", - "country.show.economic_structure.copy.p2": "Business and financial services contribute 20.9% of GDP, making it the largest industry, followed by governmental, communal and personal services (15,4%) and manufacturing activities (11,2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 25.7, 13.9 and 9.7% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.economic_structure.copy.p1": "With a population of 49.5 million (as of December 2017), Colombia is the third largest country in Latin America. Its total GDP in 2017 was Col$835.1 trillion, or US$283 billion at the average exchange rate of 2017 (1 US dollar = 2.951 Colombian pesos). In 2017, income per capita reached Col$18.828.100 or US$6.380 . Colombia’s economic growth rate hits 1,8% in 2017.", + "country.show.economic_structure.copy.p2": "Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 26.4%, 15% and 9% to total GDP to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", "country.show.employment_wage_occupation.copy.p1": "The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that the effective number of year-round workers in the formal sector in 2016 was 8.2 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 31.7%, 17.1%, and 10.8% of (effective) formal employment.", - "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2017.", "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", "country.show.exports": "Exports", - "country.show.exports.copy.p1": "Colombia exported US$32.5 billion in 2016, down from $35.1 billion in 2015 and $57.8 billion in 2016. Its main export partners are the United States, Panama, China and Spain. In 2016, minerals products (of which oil, coal and nickel are the largest items) comprised 51.75% of total merchandise exports, vegetables, foodstuffs and wood contributed 22.57%, and chemical and plastics products totaled 9.78% of exports. The following graphs provide further details.", + "country.show.exports.copy.p1": "Colombia exported US$38.2 billion in 2017. Its main export partners are the United States, Panama, China and Nederland. In 2017, minerals products (of which oil, coal and nickel are the largest items) comprised 56.2% of total merchandise exports, vegetables, foodstuffs and wood contributed 20.78%, and chemical and plastics products totaled 8.43% of exports. The following graphs provide further details.", "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", "country.show.gdp": "Col $756,152 T", @@ -61,8 +61,8 @@ export default { "country.show.landuses": "Land Uses in Colombia", "country.show.landuses.area": "Total Area (ha)", "country.show.nonag_farmsize": "4.53 ha", - "country.show.occupation.num_vac": "Total advertised vacancies", - "country.show.population": "48.1 million", + "country.show.occupation.num_vac": "Total advertised vacancies (2017)", + "country.show.population": "49.5 million", "country.show.product_space": "Product Space", "country.show.total": "Total", "ctas.csv": "CSV", @@ -88,7 +88,7 @@ export default { "downloads.map.header": "Map Data", "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", "downloads.occupations_head": "Occupations data", - "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.occupations_row_1": "Job vacancies and wages offered (2017)", "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", "downloads.other_head": "Other data (DANE)", "downloads.other_row_1": "GDP and demographic variables", @@ -562,7 +562,7 @@ export default { "index.profiles_cta": "Read the profile for Antioquia", "index.profiles_head": "Start with our profiles", "index.profiles_subhead": "Just the essentials, presented as a one-page summary", - "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_head": "New 2016 update!
We\u2019re not a crystal ball, but we can answer a lot of questions", "index.questions_subhead": "index.questions_subhead", "index.research_head": "Research featured in", "industry.show.avg_wages": "Average wages ({{year}})", @@ -583,9 +583,9 @@ export default { "location.show.all_departments": "Compared to the other departments", "location.show.all_regions": "Compared to the other locations", "location.show.average_livestock_load": "Livestock Load ", - "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", - "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", - "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.bullet.gdp_grow_rate": "Main variables:", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$18.8 million for Colombia in 2017.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 49.5 million in Colombia as a whole in 2017.", "location.show.eci": "Export complexity", "location.show.employment": "Employment ({{lastYear}})", "location.show.employment_and_wages": "Formal employment and wages", @@ -654,4 +654,4 @@ export default { "search.results_rural": "Rural activities", "table.export_data": "Export Data", "thousands_delimiter": "," -}; \ No newline at end of file +}; diff --git a/app/locales/en-col/translations.original b/app/locales/en-col/translations.original new file mode 100644 index 00000000..7c24733a --- /dev/null +++ b/app/locales/en-col/translations.original @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "B", + "abbr_million": "M", + "abbr_thousand": "K", + "abbr_trillion": "T", + "about.downloads.explanation.p1": "Download the document explaining how each of the complexity variables of Datlas is computed.", + "about.downloads.explanation.title": "Method of calculation of complexity variables", + "about.downloads.locations": "Lists of departments, cities (including metropolitan areas) and municipalities", + "about.glossary": "

See page \"About the data\" for further information about sources, computational methods of the complexity variables and downloadable databases.

Cities

A city is a metropolitan area or a municipality with more than 50,000 inhabitants, 75% of whom reside in the main urban location (cabecera). There are 62 cities (19 metropolitan areas comprising 115 municipalities, plus 43 other cities of just one municipality). The concept of city is relevant because Datlas presents complexity indicators by department and city, but not by municipality.

Complexity

Complexity is the amount and sophistication of knowhow required to produce something. The concept of complexity is central to Datlas because productivity and growth everywhere depend on firms to successfully produce and export goods and services that require skills and knowledge that are diverse and unique. Complexity can be measured by location, by industry or by export product.

Complexity Outlook

Measures the potential of a location to reach higher complexity levels. The measure accounts for the level of complexity of the industries (or exports) along with the distance of how close the productive capabilities that these industries require are to its current industries (or exports). More specifically, it measures the likelihood of different industries (or exports) appearing and the value of their added complexity. Higher outlook values indicate \u201ccloser distance\u201d to more, and more complex, industries (or exports).

Industry complexity outlook values are computed for departments and cities, not for the rest of municipalities. Export complexity outlook values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

DANE

DANE is the National Statistical Office. It is the source of all data on GDP and population used by Datlas.

DIAN

DIAN is the National Tax and Customs Authority. It is the source of all data on exports and imports by department and municipality in Datlas.

Distance

A measure of a location\u2019s ability to enter a specific industry or export, as determined by its current productive capabilities. Also known as a capability distance, the measure accounts for the similarity between the capabilities required by an industry or export and the capabilities already present in a location\u2019s industries or exports. Where a new industry or export requires many of the same capabilities already present in a location\u2019s industries or exports, the product is considered \u201ccloser\u201d or of a shorter \u201cdistance\u201d to acquire the missing capabilities to produce it. New industries or exports of a further distance require larger sets of productive capabilities that do not exist in the location and are therefore riskier ventures or less likely to be sustained. Thus, distance reflects the proportion of the productive knowledge necessary for an industry or export that a location does not have. This is measured by the proximity between industries or exports, or the probability that two industries or exports will both be present in a location, as embodied by the industry space and product space, respectively.

Industry distance values are computed for departments and cities, but not for the rest of municipalities. Export distance values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Diversity

A measure of how many different types of products a place is able to produce. The production of a good requires a specific set of know-how; therefore, a country\u2019s total diversity is another way of expressing the amount of collective know-how that a place has.

Economic Complexity Index (ECI)

A measure of the sophistication of the productive capabilities of a location based on the diversity and ubiquity of its industries or exports. A location with high complexity produces or exports goods and services that few other locations produce. Highly complex locations tend to be more productive and generate higher wages and incomes. Countries with export baskets more sophisticated than what is expected for their income level (such as China) tend to grow faster than those where the opposite is true (such as Greece).

Industry ECI values are computed for departments and cities, but not for the rest of municipalities. Export ECI values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Formal employment and wages, and formal employment rate

Formal employment is defined as employment covered by the health social security system and/or the pension system. The self-employed are not included. Formal wages are those reported by firms to that aim. Formal employment reported is the number of formal employees in an average month. Formality rate is defined as formal employment divided by population older than 15. Employment and wage data are taken from PILA. Population data comes from DANE.

Industry Complexity Index (ICI)

A measure of the amount of productive capabilities that an industry requires to operate. The ICI and the Product Complexity Index (PCI) are closely related, but are measured through independent datasets and classification systems as the PCI is computed only for internationally tradable goods, while the ICI is calculated for all industries that generate formal employment, including the public sector. Industries are complex when they require a sophisticated level of productive knowledge, such as many financial services and pharmaceutical industries, with many individuals with distinct specialized knowledge interacting in a large organization. Complexity of the industry is measured by calculating the average diversity of locations that hold the industry and the average ubiquity of the industries that those locations hold. The formal employment data required for these calculations comes from the PILA dataset held by the Ministry of Health.

Industry classification system

Colombia\u2019s industry classification system is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). Datlas shows industry information at two- and four-digit level. All industry data come from PILA. Following national accounting conventions, workers hired by temporary employment firms are classified in the labor recruitment industry (7491), not in the industry of the firm where they physically work.

Industry technological similarity space (or industry space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between industries. Each dot represents an industry and each link between a pair of industries indicates that they require similar productive capabilities to operate. Colored dots are industries with revealed comparative advantage larger than one. When an industry is selected, the map shows the industries that require similar productive capabilities. An industry with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing industries share to untapped, complex industries determines the complexity outlook of the location. The Colombian industry similarity space is based on formal employment data by industry and municipality from the PILA dataset of the Ministry of Health.

Metropolitan area

A metropolitan area is a combination of two or more municipalities that are connected through relatively large commuting flows (irrespective of their size or contiguity). A municipality must send at least 10% of its workers as daily commuters to the rest of the metropolitan area municipalities to be included.

Based on this definition there are 19 metropolitan areas in Colombia, which comprise 115 municipalities. The resulting metro areas, which are distinct from official measures, are computed with the methodology of G. Duranton (2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Occupations

Occupations are classified according to the Occupational Information Network Numerical Index (ONET). All data on occupations (wages offered by occupation, occupational structure by industry, and education level required by occupation) come from job vacancy announcements placed by firms in public and private Internet job sites during 2014. The data were processed by Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).

Opportunity gain

Measures how much a location could benefit by developing a particular industry (or export). Also known also as \u201cstrategic value,\u201d the measure accounts for the distances to all other industries (or exports) that a location does not currently produce with revealed comparative advantage larger than one and their respective complexities. Opportunity gain quantifies how a new industry (or export) can open up links to more, and more complex, products. Thus, the measure calculates the value of an industry (or export) based on the paths it opens to industrial expansion into more complex sectors.

Industry opportunity gain values are computed for departments and cities, but not for the rest of municipalities. Export opportunity gain values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

PILA

PILA is the Integrated Report of Social Security Contributions, managed by the Ministry of Health. It is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry.

Product Complexity Index (PCI)

Measures the amount of productive capabilities required to manufacture a product. Complex exports, which include many chemical and machinery products, require a sophisticated level, and diverse base, of productive knowledge, with many individuals with distinct specialized knowledge interacting in a large organization. This contrasts with low complexity exports, like coffee, which require much less basic productive knowledge that can be found in a family-run business. UN Comtrade data are used to compute the complexity of export products.

Product technological similarity space (or product space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between export products. Each dot represents a product and each link between a pair of products indicates that the two products require similar capabilities in their production. Colored dots are exports with revealed comparative advantage larger than one. When a product is selected, the map shows the products that require similar productive capabilities. A product with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing products share to complex products that a location does not currently produce determines the complexity outlook of its exports.

The shape of the space is based on international trade data for 192 countries over 50 years. See The International Atlas of Economic Complexity.

Revealed Comparative Advantage (RCA)

Measures the relative size of an industry or an export product in a location. RCA is not a measure of productive efficiency or competitiveness, but just a \u201clocation quotient\u201d, as is often referred to. RCA is computed as the ratio between an industry\u2019s share of total formal employment in a location and the share of that industry\u2019s total formal employment in Colombia as a whole. For instance, if the chemical industry generates10% of a city\u2019s employment, while it generates only 1% of total employment in Colombia, the RCA of the industry in the city is 10. For exports, RCA is the ratio between the share of the export in the export basket of the location and its share in total world trade. If this ratio is larger than 1, the location is said to have revealed comparative advantage in the industry or export. For instance, if a department\u2019s coffee exports are 30% of its exports but coffee accounts for just 0.3% of world trade, the department\u2019s RCA in coffee is 100.

Ubiquity

A measure of the number of places that are able to make a product.

", + "about.glossary_name": "Glossary", + "about.project_description.cid.header": "CID and the Growth Lab", + "about.project_description.cid.p1": "This project was developed by the Center for International Development at Harvard University, under the leadership of Professor Ricardo Hausmann.", + "about.project_description.cid.p2": "The Center for International Development (CID) at Harvard University works to advance the understanding of development challenges and offer viable, inclusive solutions to problems of global poverty. The Growth Lab is one of CID\u2019s core research programs.", + "about.project_description.contact.header": "Contact information", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex is the entrepreneurial development bank of Colombia. It is committed to developing financial and non-financial instruments geared to enhance the competitiveness, productivity, growth and internationalization of Colombian enterprises. Leveraging on its unique relational equity and market position, Banc\u00f3ldex manages financial assets, develops access solutions to financing and deploys innovative capital solutions, to foster and accelerate company growth. Besides offering traditional loans, Banc\u00f3ldex has been appointed to implement several development program such as iNNpulsa Colombia, iNNpulsa Mipyme, Banca de las Oportunidades, and the Productive Transformation Program, all of them, in an effort to consolidate an integrated offer to promote Colombian business environment and overall competitiveness. Datlas elaborates on the work that Banc\u00f3ldex has been undertaking through its Productive Transformation Program and INNpulsa Colombia initiatives.", + "about.project_description.founder2.header": "Mario Santo Domingo Foundation", + "about.project_description.founder2.p": "Created in 1953, the Mario Santo Domingo Foundation (FMSD) is a non-profit organization dedicated to implementing community development programs in Colombia. FMSD decided to concentrate its main efforts in the construction of affordable housing within a Community Development Model, named Integral Development of Sustainable Communities (DINCS in its Spanish initials) and designed by the FMSD as a response to the large housing deficit in Colombia. Through this program, the FMSD delivers social support for families, and social infrastructure and urban development for the less privileged. FMSD also supports entrepreneurs in the Northern region of Colombia and in Bogot\u00e1 through its Microfinance Unit which provides training and financial services such as microcredit. More than 130,000 entrepreneurs have received loans from the Foundation since its launch in 1984. The FMSD works also to identify alliances and synergies between the public and private sectors in critical social development areas such as early childhood, environmental sustainability, disaster attention, education and health.", + "about.project_description.founders.header": "Founding Partners", + "about.project_description.founders.p": "This project is funded by Banc\u00f3ldex and Fundaci\u00f3n Mario Santo Domingo ", + "about.project_description.github": "See our code", + "about.project_description.intro.p1": "In Colombia, income gaps between regions are huge and have been growing: new job opportunities are increasingly concentrated in the metropolitan areas of Bogot\u00e1, Medell\u00edn and Cali, as well as a few places where oil and other minerals are extracted. The average income of residents of Bogot\u00e1 is four times that of Colombians living in the 12 poorest departments", + "about.project_description.intro.p2": "Datlas is a diagnostic tool that firms, investors and policymakers can use to improve the productivity of departments, cities and municipalities. It maps the geographical distribution of Colombia\u2019s productive activities and employment by department, metropolitan area and municipality, and identifies exports and industries of potential to increase economic complexity and accelerate growth.", + "about.project_description.intro.p3": "Economic complexity is a measure of the amount of productive capabilities, or knowhow, that a country or a city has. Products are vehicles for knowledge. To make a shirt, one must design it, produce the fabric, cut it, sew it, pack it, market it and distribute it. For a country to produce shirts, it needs people who have expertise in each of these areas. Each of these tasks involves many more capabilities than any one person can master. Only by combining know-how from different people can any one product be made. The road to economic development involves increasing what a society knows how to do. Countries with more productive capabilities can make a greater diversity of products. Economic growth occurs when countries develop the capabilities and productive knowledge to produce more, and more complex, products.", + "about.project_description.intro.p4": "This conceptual approach, which has been applied at the international level in The Atlas of Economic Complexity, is now used in this online tool to investigate export and industry possibilities at the sub-national level in Colombia.", + "about.project_description.letter.header": "Sign up for our Newsletter", + "about.project_description.letter.p": "Sign up for CID\u2019s Research Newsletter to keep up-to-date with related breakthrough research and practical tools, including updates to this site http://www.hks.harvard.edu/centers/cid/news-events/subscribe ", + "about.project_description.team.header": "Academic and Technical Team", + "about.project_description.team.p": "Academic team at Harvard\u2019s CID: Ricardo Hausmann (director), Eduardo Lora (coordinator), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery and Juan T\u00e9llez. Programming and visualization team at Harvard\u2019s CID: Greg Shapiro (coordinator), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot, and Gus Wezerek. Statistical advisor in Colombia: Marcela Eslava (Universidad de los Andes). Compilation and processing of job vacancies data in Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "About", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.dotplot-column": "Departments Across Colombia", + "country.show.eci": "0.037", + "country.show.economic_structure": "Economic Structure", + "country.show.economic_structure.copy.p1": "With a population of 48.1 million (as of May 2015), Colombia is the third largest country in Latin America. Its total GDP in 2014 was Col$756.1 trillion, or US$377.9 billion at the average exchange rate of 2014 (1 US dollar = 2000.6 Colombian pesos). In 2014, income per capita reached Col$15,864,953 or US$7,930. Yearly economic growth since 2008 has averaged 4.3% (or 3.1% in per capita terms).", + "country.show.economic_structure.copy.p2": "Business and financial services contribute 18.8% of GDP, making it the largest industry, followed by governmental, communal and personal services (16.5%) and manufacturing activities (11.2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 24.7, 13.1 and 9.2% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", + "country.show.employment_wage_occupation.copy.p1": "In 2014, approximately 21.6 million Colombians were occupied in either a formal or an informal job, increasing slightly over 2013, at 21.1 million. The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that 13.3 million workers were occupied for some period in a formal job in 2013. Taking into account the number of months occupied, the effective number of year-round workers in the formal sector in 2013 was 6.7 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 32.7, 16.7, and 10.7% of (effective) formal employment.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", + "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", + "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", + "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", + "country.show.exports": "Exports", + "country.show.exports.copy.p1": "Colombia exported US$54.8 billion in 2014, down from $58.8 billion in 2013 and $60.1 billion in 2012. Its main export partners are the United States, Venezuela, Ecuador and Peru. In 2014, mining products (of which oil, coal and nickel are the largest items) comprised 59.3% of total merchandise exports, manufactured goods contributed 35.6%, and agricultural products totaled 4.6% of exports. The following graphs provide further details.", + "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", + "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", + "country.show.gdp": "Col $756,152 T", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Industry Complexity", + "country.show.industry_complex.copy.p1": "Industry complexity is a measure of the range of capabilities, skills or know-how required by an industry. Industries such as chemicals and machinery are said to be highly complex, because they require a sophisticated level of productive knowledge likely to be present only in large organizations where a number of highly specialized individuals interact. Conversely, industries such as retail trade or restaurants require only a basic level of know-how which may be found at a family-run business. More complex industries contribute to raising productivity and income per- capita. Departments and cities with more complex industries have a more diversified industrial base and tend to create more formal employment.", + "country.show.industry_complex.copy.p2": "The 'IndustryTechnological Similarity Space\u2019 (or Industry Space) shown below is a graphical representation of the similarity between the capabilities and know-how required by pairs of industries. Each dot or node represents an industry; nodes connected by lines require similar capabilities. More connected industries use capabilities that can be deployed in many other industries. Colors represent industry groupings.", + "country.show.industry_space": "Industry Space", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Total advertised vacancies (2014)", + "country.show.population": "48.1 million", + "country.show.product_space": "Product Space", + "country.show.total": "Total", + "ctas.csv": "CSV", + "ctas.download": "Download this data", + "ctas.embed": "Embed", + "ctas.excel": "Excel", + "ctas.export": "Export", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Share", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ".", + "downloads.cta_download": "Download", + "downloads.cta_na": "Not available", + "downloads.head": "About the Data", + "downloads.industry_copy": "PILA (the Integrated Report of Social Security Contributions), managed by the Ministry of Health) is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry. Colombia\u2019s industry classification is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). The list of industries can be found in the downloadable databases for industries. The list of industries in the ISIC which are not included in the industry space (for reasons explained in \"Calculation Methods\") can be downloaded here.", + "downloads.industry_head": "Industry data (PILA)", + "downloads.industry_row_1": "Employment, wages, number of firms and complexity indicators ({{yearRange}})", + "downloads.list_of_cities.header": "Lists of departments, cities and municipalities", + "downloads.map.cell": "Map boundary and geo data is from GeoFabrik.de, based on OpenStreetMap data", + "downloads.map.header": "Map Data", + "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", + "downloads.occupations_head": "Occupations data", + "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", + "downloads.other_head": "Other data (DANE)", + "downloads.other_row_1": "GDP and demographic variables", + "downloads.thead_departments": "Departments", + "downloads.thead_met": "Cities", + "downloads.thead_muni": "Municipalities", + "downloads.thead_national": "National", + "downloads.trade_copy": "The source of all data on exports and imports by department and municipality is DIAN\u2019s Customs Data (DIAN is the National Tax and Customs Authority). Colombian Customs uses the product classification NANDINA, which matches the Harmonized System (HS) classification at the 6-digit level. We then standardize that to HS 1992 in order to fix any version inconsistencies across the years in order to be able to view the data over time. The list of products can be found in the downloadable databases for exports and imports.

The origin of an export is established in two stages. First, the department of origin is defined as the last place of processing, assembly or packaging, according with DIAN. Then, export values are distributed among municipalities according with the composition of employment of the exporting firm based on PILA (for firms without this information the value is assigned to the capital of department). In the case of petroleum oil (2709) and gas (2711), total export values were distributed by origin according to production by municipality (sources: Hydrocarbons National Agency and Colombian Petroleum Association), and in the case of oil refined products (2710), according to value added by municipality (industries 2231, 2322 y 2320 SIIC revision 3, Annual Manufacturing Survey, DANE).

\u00a0

Export totals by product may not correspond to official data because the following are excluded: (a) exports lacking information on the industry of the exporter and/or the department or municipality of origin, and (b) exports for which DIAN reports free zones as the place of destination; while the following are included: (c) exports from free zones, which DIAN does not include in those export totals.

In a similar fashion, import totals by product may not correspond to official data because the following are excluded: (a) imports lacking information on the department or municipality of destination, and (b) imports for which DIAN reports free zones as the place of origin; while the following are included: (c) imports done by free zones, which DIAN does not include in those import totals.

A file that describes the correspondence between the HS version used by DIAN and HS 1992 can be found here.

Included here is a file with the list of products in the Harmonized System that are not represented in the product space (for reasons explained in \"Calculation Methods\").", + "downloads.trade_head": "Trade data (DIAN)", + "downloads.trade_row_1": "Exports, imports and export complexity indicators ({{yearRange}})", + "downloads.trade_row_2": "Exports and imports with country of destination and origin ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Products", + "general.geo": "Geographic map", + "general.glossary": "Glossary", + "general.industries": "Industries", + "general.industry": "industry", + "general.location": "location", + "general.locations": "Locations", + "general.multiples": "Area charts", + "general.occupation": "occupation", + "general.occupations": "Occupations", + "general.product": "product", + "general.scatter": "Scatterplot", + "general.similarity": "Industry Space", + "general.total": "Total", + "general.treemap": "Treemap", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glossary", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.industry.cities.employment": "Total employment", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Total employment", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Total employment", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total advertised vacancies", + "graph_builder.builder_mod_header.landUse.departments.area": "Total Area", + "graph_builder.builder_mod_header.landUse.municipalities.area": "Total Area ", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "Land harvested (hectares)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "Land sown (hectares)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "Number of farms", + "graph_builder.builder_mod_header.location.industries.employment": "Total employment", + "graph_builder.builder_mod_header.location.industries.scatter": "Complexity,distance and opportunity gain of potential industries", + "graph_builder.builder_mod_header.location.industries.similarity": "Industries with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.location.industries.wages": "Total wages", + "graph_builder.builder_mod_header.location.landUses.area": "Total Area ", + "graph_builder.builder_mod_header.location.livestock.num_farms": "Number of livestock farms", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.location.partners.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.export_value": "Total exports", + "graph_builder.builder_mod_header.location.products.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.scatter": "Complexity, distance and opportunity gain of potential export products", + "graph_builder.builder_mod_header.location.products.similarity": "Export products with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.product.cities.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.cities.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.departments.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.departments.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.product.partners.import_value": "Total imports", + "graph_builder.builder_nav.header": "More graphs for this {{entity}}", + "graph_builder.builder_nav.intro": "Select a question to see the corresponding graph. If the question has missing parameters ({{icon}}) , you\u2019ll fill those in when you click.", + "graph_builder.builder_questions.city": "Questions: Cities", + "graph_builder.builder_questions.department": "Questions: Departments", + "graph_builder.builder_questions.employment": "Questions: Employment", + "graph_builder.builder_questions.export": "Questions: Exports", + "graph_builder.builder_questions.import": "Questions: Imports", + "graph_builder.builder_questions.industry": "Questions: Industries", + "graph_builder.builder_questions.landUse": "Questions: Land Use ", + "graph_builder.builder_questions.location": "Questions: Locations", + "graph_builder.builder_questions.occupation": "Questions: Occupations", + "graph_builder.builder_questions.partner": "Questions: Partners", + "graph_builder.builder_questions.product": "Questions: Products", + "graph_builder.builder_questions.wage": "Questions: Total Wages", + "graph_builder.change_graph.geo_description": "Map the data", + "graph_builder.change_graph.label": "Change graph", + "graph_builder.change_graph.multiples_description": "Compare growth over time", + "graph_builder.change_graph.scatter_description": "Plot complexity and distance", + "graph_builder.change_graph.similarity_description": "Show revealed comparative advantages", + "graph_builder.change_graph.treemap_description": "See composition at different levels", + "graph_builder.change_graph.unavailable": "Graph is unavailable for this question", + "graph_builder.download.agproduct": "Agricultural Product", + "graph_builder.download.area": "Area", + "graph_builder.download.average_wages": "Avg. monthly wage, Col$", + "graph_builder.download.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.download.code": "Code", + "graph_builder.download.cog": "Opportunity gain", + "graph_builder.download.complexity": "Complexity", + "graph_builder.download.distance": "Distance", + "graph_builder.download.eci": "Export complexity", + "graph_builder.download.employment": "Employment", + "graph_builder.download.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.download.export": "Export", + "graph_builder.download.export_num_plants": "Firm number", + "graph_builder.download.export_rca": "Revealed comparative advantage", + "graph_builder.download.export_value": "Exports, USD", + "graph_builder.download.farmtype": "Farm Type", + "graph_builder.download.gdp_pc_real": "GDP per Capita, Col $", + "graph_builder.download.gdp_real": "GDP, Col $", + "graph_builder.download.import_value": "Imports, USD", + "graph_builder.download.industry": "Industry", + "graph_builder.download.industry_eci": "Industry complexity", + "graph_builder.download.land_harvested": "Land harvested (ha)", + "graph_builder.download.land_sown": "Land sown (ha)", + "graph_builder.download.land_use": "Land Use", + "graph_builder.download.less_than_5": "Less than 5", + "graph_builder.download.livestock": "Livestock", + "graph_builder.download.location": "Location", + "graph_builder.download.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.download.name": "Name", + "graph_builder.download.num_establishments": "Firm number", + "graph_builder.download.num_farms": "Number of farms", + "graph_builder.download.num_livestock": "Number of livestock", + "graph_builder.download.num_vacancies": "Vacancies", + "graph_builder.download.occupation": "Occupation", + "graph_builder.download.parent": "Parent", + "graph_builder.download.population": "Population", + "graph_builder.download.production_tons": "Production (tons)", + "graph_builder.download.rca": "Revealed comparative advantage", + "graph_builder.download.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.download.wages": "Total wages, Col$", + "graph_builder.download.year": "Year", + "graph_builder.download.yield_index": "Yield Index", + "graph_builder.download.yield_ratio": "Yield (tons/ha)", + "graph_builder.explanation": "Explanation", + "graph_builder.explanation.agproduct.departments.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Hide", + "graph_builder.explanation.industry.cities.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.cities.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Shows the composition of vacancies announced in Internet sites and wages offered.", + "graph_builder.explanation.landUse.departments.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.landUse.municipalities.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.agproducts.land_harvested": "Shows the composition of agricultural products of this location, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Shows the composition of agricultural products of this location, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Shows the composition of agricultural products of this location, by weight. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.farmtypes.num_farms": "Shows the composition of farms in this location, by type of farm. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.industries.employment": "Shows the industry composition of formal empoyment in the department. Source: PILA.", + "graph_builder.explanation.location.industries.scatter": "Dots represent industries. Upon selecting a dot, a display shows the industry name and its revealed comparative advantage in the location. Colors represent industry groups (see the table). The vertical axis is the Industry Complexity Index and the horizontal axis is the Distance from the existing industries, where shorter distances mean that the location has more of the knowhow needed to develop the industry. The size of the dots is proportional to the Opportunity Gain of the industry for the department, namely the potential that the industry offers for the department to acquire new capabilities that may help to develop other industries. The more interesting industries are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.industries.similarity": "The industry technological similarity space (or industry space) shows how similar is the knowhow required by any pair of industries. Each dot represents an industry. Dots connected with a line represent industries that require similar knowhow. Dots colored are industries with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an industry group (see table). Upon selecting a dot, a display shows the industry name, its RCA and its links to other industries. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.location.industries.wages": "Shows the industry composition of total wages paid in the department or city. Source: PILA.", + "graph_builder.explanation.location.landUses.area": "Shows the composition of land uses in this location, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_farms": "Shows the composition of livestock types of this location, by number of farms. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_livestock": "Shows the composition of livestock types of this location, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.partners.export_value": "Shows the destination country composition of exports of this place, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Shows the countries from which this location imports products, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.products.export_value": "Shows the product composition of exports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.import_value": "Shows the product composition of imports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.scatter": "Dots represent export products. Upon selecting a dot, a display shows the product name and its revealed comparative advantage in the department or city. Colors represent product groups (see the table). The vertical axis is the Product Complexity Index and the horizontal axis is the Distance from the existing exports, where shorter distances mean that the location has more of the knowhow needed to export the product. The dashed line is the average Index of Economic Complexity of the place. The size of the dots is proportional to the Opportunity Gain of the export for the department or city, namely the potential that exporting the product offers for the department or city to acquire new capabilities that may help to export other products. The more interesting export products are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.products.similarity": "The product technological similarity space (or product space) shows how similar is the knowhow required by any pair of export products. Each dot represents an export product. Dots connected with a line represent products that require similar knowhow. Dots colored are products with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an export group (see table). Upon selecting a dot, a display shows the product name, its RCA and its links to other products. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.product.cities.export_value": "Shows the composition by city of the product exports. Source: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Shows the composition by city of the product imports. Source: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Shows the composition by department of the product exports. Source: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Shows the composition by department of the product imports. Source: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Shows where Colombia exports this product to, nested by world regions. Source: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Shows where Colombia imports this product from, nested by world regions. Source: DIAN.", + "graph_builder.explanation.show": "Show", + "graph_builder.multiples.show_all": "Show All", + "graph_builder.page_title.agproduct.departments.land_harvested": "What departments harvest this agricultural product?", + "graph_builder.page_title.agproduct.departments.land_sown": "What departments sow this agricultural product?", + "graph_builder.page_title.agproduct.departments.production_tons": "What departments produce this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "What municipalities harvest this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "What municipalities sow this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "What municipalities produce this agricultural product?", + "graph_builder.page_title.industry.cities.employment": "What cities in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.cities.wages": "What cities in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.departments.employment": "What departments in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.departments.wages": "What departments in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.occupations.num_vacancies": "What occupations does this industry employ?", + "graph_builder.page_title.landUse.departments.area": "Which departments have this type of land use?", + "graph_builder.page_title.landUse.municipalities.area": "Which municipalities have this type of land use?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "What agricultural products are harvested in Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "What agricultural products are harvested in this department?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "What agricultural products are harvested in this municipality?", + "graph_builder.page_title.location.agproducts.land_sown.country": "What agricultural products are planted in Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "What agricultural products are planted in this department?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "What agricultural products are planted in this municipality?", + "graph_builder.page_title.location.agproducts.production_tons.country": "What agricultural products are produced in Colombia?", + "graph_builder.page_title.location.agproducts.production_tons.department": "What agricultural products are produced in this department?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "What agricultural products are produced in this municipality?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "Where does this department export oil to?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "Where does this department import cars from?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "What types of farms are there in Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "What types of farms are there in this department?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "What types of farms are there in this municipality?", + "graph_builder.page_title.location.industries.employment.country": "What industries in Colombia employ the most people?", + "graph_builder.page_title.location.industries.employment.department": "What industries in this department employ the most people?", + "graph_builder.page_title.location.industries.employment.msa": "What industries in this city employ the most people?", + "graph_builder.page_title.location.industries.employment.municipality": "What industries in this municipality employ the most people?", + "graph_builder.page_title.location.industries.scatter.country": "What relatively complex industries have the most possibilities for Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "What relatively complex industries have the most possibilities for this department?", + "graph_builder.page_title.location.industries.scatter.msa": "What relatively complex industries have the most possibilities for this city?", + "graph_builder.page_title.location.industries.scatter.municipality": "What relatively complex industries have the most possibilities for this municipality?", + "graph_builder.page_title.location.industries.similarity.country": "Where is Colombia in the industry space?", + "graph_builder.page_title.location.industries.similarity.department": "Where is this department in the industry space?", + "graph_builder.page_title.location.industries.similarity.msa": "Where is this city in the industry space?", + "graph_builder.page_title.location.industries.similarity.municipality": "Where is this municipality in the industry space?", + "graph_builder.page_title.location.industries.wages.country": "What industries in Colombia are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.department": "What industries in this department are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.msa": "What industries in this city are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.municipality": "What industries in this municipality are the largest by total wages?", + "graph_builder.page_title.location.landUses.area.country": "Which types of land uses are in Colombia?", + "graph_builder.page_title.location.landUses.area.department": "Which types of land uses are in this department?", + "graph_builder.page_title.location.landUses.area.municipality": "Which types of land uses are in this municipality?", + "graph_builder.page_title.location.livestock.num_farms.country": "What kinds of livestock farms does Colombia have?", + "graph_builder.page_title.location.livestock.num_farms.department": "What kinds of livestock farms does this department have?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "What kinds of livestock farms does this municipality have?", + "graph_builder.page_title.location.livestock.num_livestock.country": "What kinds of livestock does Colombia have?", + "graph_builder.page_title.location.livestock.num_livestock.department": "What kinds of livestock does this department have?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "What kinds of livestock does this municipality have?", + "graph_builder.page_title.location.partners.export_value.country": "What countries does Colombia export to?", + "graph_builder.page_title.location.partners.export_value.department": "What countries does this department export to?", + "graph_builder.page_title.location.partners.export_value.msa": "What countries does this city export to?", + "graph_builder.page_title.location.partners.export_value.municipality": "What countries does this municipality export to?", + "graph_builder.page_title.location.partners.import_value.country": "What countries does Colombia import from?", + "graph_builder.page_title.location.partners.import_value.department": "What countries does this department import from?", + "graph_builder.page_title.location.partners.import_value.msa": "What countries does this city import from?", + "graph_builder.page_title.location.partners.import_value.municipality": "What countries does this municipality import from?", + "graph_builder.page_title.location.products.export_value.country": "What products does Colombia export?", + "graph_builder.page_title.location.products.export_value.department": "What products does this department export?", + "graph_builder.page_title.location.products.export_value.msa": "What products does this city export?", + "graph_builder.page_title.location.products.export_value.municipality": "What products does this municipality export?", + "graph_builder.page_title.location.products.import_value.country": "What products does Colombia import?", + "graph_builder.page_title.location.products.import_value.department": "What products does this department import?", + "graph_builder.page_title.location.products.import_value.msa": "What products does this city import?", + "graph_builder.page_title.location.products.import_value.municipality": "What products does this municipality import?", + "graph_builder.page_title.location.products.scatter.country": "What products have the most potential for Colombia?", + "graph_builder.page_title.location.products.scatter.department": "What products have the most potential for this department?", + "graph_builder.page_title.location.products.scatter.msa": "What products have the most potential for this city?", + "graph_builder.page_title.location.products.scatter.municipality": "What products have the most potential for this municipality?", + "graph_builder.page_title.location.products.similarity.country": "Where is Colombia in the product space?", + "graph_builder.page_title.location.products.similarity.department": "Where is this department in the product space?", + "graph_builder.page_title.location.products.similarity.msa": "Where is this city in the product space?", + "graph_builder.page_title.location.products.similarity.municipality": "Where is this municipality in the product space?", + "graph_builder.page_title.product.cities.export_value": "What cities in Colombia export this product?", + "graph_builder.page_title.product.cities.import_value": "What cities in Colombia import this product?", + "graph_builder.page_title.product.departments.export_value": "What departments in Colombia export this product?", + "graph_builder.page_title.product.departments.import_value": "What departments in Colombia import this product?", + "graph_builder.page_title.product.partners.export_value": "Where does Colombia export this product to?", + "graph_builder.page_title.product.partners.export_value.destination": "Where does {{location}} export {{product}} to?", + "graph_builder.page_title.product.partners.import_value": "Where does Colombia import this product from?", + "graph_builder.page_title.product.partners.import_value.origin": "Where does {{location}} import {{product}} from?", + "graph_builder.questions.label": "Change question", + "graph_builder.recirc.header.industry": "Read the profile for this industry", + "graph_builder.recirc.header.location": "Read the profile for this location", + "graph_builder.recirc.header.product": "Read the profile for this product", + "graph_builder.search.placeholder.agproducts": "Highlight agricultural products in the graph below", + "graph_builder.search.placeholder.cities": "Highlight a city on the graph below", + "graph_builder.search.placeholder.departments": "Highlight a department on the graph below", + "graph_builder.search.placeholder.farmtypes": "Highlight a farm type in the graph below", + "graph_builder.search.placeholder.industries": "Highlight industries on the graph below", + "graph_builder.search.placeholder.landUses": "Highlight a land use on the graph below", + "graph_builder.search.placeholder.livestock": "Highlight a livestock type in the graph below", + "graph_builder.search.placeholder.locations": "Highlight locations on the graph below", + "graph_builder.search.placeholder.municipalities": "Highlight a municipality on the graph below", + "graph_builder.search.placeholder.occupations": "Highlight an occupation on the graph below", + "graph_builder.search.placeholder.partners": "Highlight trade partners on the graph below", + "graph_builder.search.placeholder.products": "Highlight products on the graph below", + "graph_builder.search.submit": "Highlight", + "graph_builder.settings.change_time": "Change time period", + "graph_builder.settings.close_settings": "Save and close", + "graph_builder.settings.label": "Change Characteristics", + "graph_builder.settings.rca": "Revealed comparative advantage", + "graph_builder.settings.rca.all": "All", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "to", + "graph_builder.settings.year": "Years", + "graph_builder.settings.year.next": "Next", + "graph_builder.settings.year.previous": "Previous", + "graph_builder.table.agproduct": "Agricultural Product", + "graph_builder.table.area": "Area ", + "graph_builder.table.average_wages": "Avg. monthly wage, Col$", + "graph_builder.table.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.table.code": "Code", + "graph_builder.table.cog": "Opportunity gain", + "graph_builder.table.coi": "Export complexity outlook", + "graph_builder.table.complexity": "Complexity", + "graph_builder.table.country": "Country", + "graph_builder.table.distance": "Distance", + "graph_builder.table.eci": "Export complexity", + "graph_builder.table.employment": "Employment", + "graph_builder.table.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.table.export": "Export", + "graph_builder.table.export_num_plants": "Firm number", + "graph_builder.table.export_rca": "Revealed comparative advantage", + "graph_builder.table.export_value": "Exports, USD", + "graph_builder.table.farmtype": "Farm Type", + "graph_builder.table.gdp_pc_real": "GDP per Capita", + "graph_builder.table.gdp_real": "GDP", + "graph_builder.table.import_value": "Imports, USD", + "graph_builder.table.industry": "Industry", + "graph_builder.table.industry_coi": "Industry complexity outlook", + "graph_builder.table.industry_eci": "Industry complexity", + "graph_builder.table.land_harvested": "Land harvested (ha)", + "graph_builder.table.land_sown": "Land sown (ha)", + "graph_builder.table.land_use": "Land Use", + "graph_builder.table.less_than_5": "Less than 5", + "graph_builder.table.livestock": "Livestock", + "graph_builder.table.location": "Location", + "graph_builder.table.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.table.name": "Name", + "graph_builder.table.num_establishments": "Firm number", + "graph_builder.table.num_farms": "Number of farms", + "graph_builder.table.num_livestock": "Number of livestock", + "graph_builder.table.num_vacancies": "Vacancies", + "graph_builder.table.occupation": "Occupation", + "graph_builder.table.parent": "Parent", + "graph_builder.table.parent.country": "Region", + "graph_builder.table.population": "Population", + "graph_builder.table.production_tons": "Production (tons)", + "graph_builder.table.rca": "Revealed comparative advantage", + "graph_builder.table.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.table.share": "Share", + "graph_builder.table.wages": "Total wages, Col$ (in thousands)", + "graph_builder.table.year": "Year", + "graph_builder.table.yield_index": "Yield Index", + "graph_builder.table.yield_ratio": "Yield (tons/ha)", + "graph_builder.view_more": "View more", + "header.destination": "Destination", + "header.destination_by_products": "Destinations by Products", + "header.employment": "Employment", + "header.export": "Exports", + "header.import": "Imports", + "header.industry": "Industries", + "header.industry_potential": "Potential", + "header.industry_space": "Industry space", + "header.landUse": "Land Use", + "header.land_harvested": "Land Harvested", + "header.land_sown": "Land Sown", + "header.occupation": "Occupations", + "header.occupation.available_jobs": "Job openings", + "header.origin": "Origin", + "header.origin_by_products": "Origin by Products", + "header.overview": "Overview", + "header.partner": "Partners", + "header.product": "Products", + "header.product_potential": "Potential", + "header.product_space": "Product space", + "header.production_tons": "Production", + "header.region": "By department", + "header.subregion": "By city", + "header.subsubregion": "By municipality ", + "header.wage": "Total wages", + "index.builder_cta": "Build graphs about coffee", + "index.builder_head": "Then dive into the graph builder", + "index.builder_subhead": "Create graphs and maps for your presentations", + "index.complexity_caption": "How good is it? Country growth predictions using economic complexity were more than six times as accurate as conventional metrics, such as the Global Competitiveness Index.", + "index.complexity_cta": "Read more about complexity concepts", + "index.complexity_figure.WEF_name": "Global Competitiveness Index", + "index.complexity_figure.complexity_name": "Complexity ranking", + "index.complexity_figure.head": "Growth explained (percent of 10-year variance)", + "index.complexity_head": "The complexity advantage", + "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Using the methods of measuring and visualizing economic complexity developed by Harvard University, Datlas helps to explore the production and export possibilities of every city and department in Colombia.", + "index.country_profile": "Read the profile for Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Mapping the future", + "index.future_subhead": "Scatterplots and network diagrams help find the untapped markets best suited to a city or a department.", + "index.graphbuilder.id": "87", + "index.header_h1": "The Colombian Atlas of Economic Complexity", + "index.header_head": "You haven\u2019t seen Colombia like this before", + "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Colombia.", + "index.industry_head": "Learn about an industry", + "index.industry_q1": "Where in Colombia does the chemical industry employ the most people?", + "index.industry_q1.id": "461", + "index.industry_q2": "What occupations are demanded by the chemical industry?", + "index.industry_q2.id": "461", + "index.location_head": "Learn about a location", + "index.location_q1": "What industries in Bogot\u00e1 Met employ the most people?", + "index.location_q1.id": "41", + "index.location_q2": "What products have the most potential in Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "See all questions", + "index.present_head": "Charting the present", + "index.present_subhead": "Use our treemaps, charts, and maps to break down your department, city or municipality\u2019s exports and employment.", + "index.product_head": "Learn about an export", + "index.product_q1": "What places in Colombia export computers?", + "index.product_q1.id": "1143", + "index.product_q2": "What places in Colombia import computers?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Read the profile for Antioquia", + "index.profiles_head": "Start with our profiles", + "index.profiles_subhead": "Just the essentials, presented as a one-page summary", + "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Research featured in", + "industry.show.avg_wages": "Average wages ({{year}})", + "industry.show.employment": "Employment ({{year}})", + "industry.show.employment_and_wages": "Formal employment and wages", + "industry.show.employment_growth": "Employment growth rate ({{yearRange}})", + "industry.show.industries": "Industries", + "industry.show.industry_composition": "Industry composition, {{year}}", + "industry.show.occupation": "Occupations", + "industry.show.occupation_demand": "Occupations most demanded by this industry, 2014", + "industry.show.value": "Value", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "department", + "location.model.msa": "city", + "location.model.municipality": "municipality", + "location.show.ag_farmsize": "Avg. agricultural farm size (ha)", + "location.show.all_departments": "Compared to the other departments", + "location.show.all_regions": "Compared to the other locations", + "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.eci": "Export complexity", + "location.show.employment": "Employment ({{lastYear}})", + "location.show.employment_and_wages": "Formal employment and wages", + "location.show.export_possiblities": "Export possiblities", + "location.show.export_possiblities.footer": "Some exports make not be viable due to local factors not considered by the technological similarity approach.", + "location.show.export_possiblities.intro": "We\u2019ve found that countries which export complex products grow faster than those which export simple products. Using the product space presented above, we\u2019ve highlighted \u00a0high potential products for {{name}}, ranked by which have the highest combination of opportunity and complexity.", + "location.show.exports": "Exports ({{year}})", + "location.show.exports_and_imports": "Exports and imports", + "location.show.gdp": "GDP", + "location.show.gdp_pc": "GDP per Capita", + "location.show.growth_annual": "Growth rate ({{yearRange}})", + "location.show.imports": "Imports ({{year}})", + "location.show.nonag_farmsize": "Avg. nonagricultural farm size (ha)", + "location.show.overview": "Overview", + "location.show.population": "Population", + "location.show.subregion.exports": "Export Composition by Municipality ({{year}})", + "location.show.subregion.imports": "Import Composition by Municipality ({{year}})", + "location.show.subregion.title": "Export and Import by Municipality", + "location.show.total_wages": "Total wages ({{lastYear}})", + "location.show.value": "Value", + "pageheader.about": "About", + "pageheader.alternative_title": "Atlas of Economic Complexity", + "pageheader.brand_slogan": "You haven't seen Colombia like this before", + "pageheader.download": "About the Data", + "pageheader.graph_builder_link": "Graph Builder", + "pageheader.profile_link": "Profile", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Search", + "pageheader.search_placeholder": "Search for a location, product or industry", + "pageheader.search_placeholder.industry": "Search for a industry", + "pageheader.search_placeholder.location": "Search for a location", + "pageheader.search_placeholder.product": "Search for a product", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explanation", + "rankings.intro.p": "Compare departments and cities across Colombia.", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Cities", + "rankings.section.departments": "Departments", + "rankings.table-title": "rank", + "search.didnt_find": "Didn\u2019t find what you were looking for? Let us know: Datlascolombia@bancoldex.com", + "search.header": "results", + "search.intro": "Search for the location, product, industry or occupation that you\u2019re interested in", + "search.level.4digit": "HS (1992) four-digit", + "search.level.class": "ISIC four-digit", + "search.level.country": "Country", + "search.level.department": "Department", + "search.level.division": "ISIC two-digit", + "search.level.msa": "City", + "search.level.municipality": "Municipality", + "search.level.parent.4digit": "HS (1992) two-digit", + "search.level.parent.class": "ISIC two-digit", + "search.level.parent.country": "Region", + "search.placeholder": "Type here to search", + "search.results_industries": "Industries", + "search.results_locations": "Locations", + "search.results_products": "Products", + "table.export_data": "Export Data", + "thousands_delimiter": "," +}; \ No newline at end of file diff --git a/app/locales/en-col/translations_2016.js b/app/locales/en-col/translations_2016.js new file mode 100644 index 00000000..f8471f68 --- /dev/null +++ b/app/locales/en-col/translations_2016.js @@ -0,0 +1,657 @@ +export default { + "abbr_billion": "B", + "abbr_million": "M", + "abbr_thousand": "K", + "abbr_trillion": "T", + "about.downloads.explanation.p1": "Download the document explaining how each of the complexity variables of Datlas is computed.", + "about.downloads.explanation.title": "Method of calculation of complexity variables", + "about.downloads.locations": "Lists of departments, cities (including metropolitan areas) and municipalities", + "about.glossary": "

See page \"About the data\" for further information about sources, computational methods of the complexity variables and downloadable databases.

Cities

A city is a metropolitan area or a municipality with more than 50,000 inhabitants, 75% of whom reside in the main urban location (cabecera). There are 62 cities (19 metropolitan areas comprising 115 municipalities, plus 43 other cities of just one municipality). The concept of city is relevant because Datlas presents complexity indicators by department and city, but not by municipality.

Complexity

Complexity is the amount and sophistication of knowhow required to produce something. The concept of complexity is central to Datlas because productivity and growth everywhere depend on firms to successfully produce and export goods and services that require skills and knowledge that are diverse and unique. Complexity can be measured by location, by industry or by export product.

Complexity Outlook

Measures the potential of a location to reach higher complexity levels. The measure accounts for the level of complexity of the industries (or exports) along with the distance of how close the productive capabilities that these industries require are to its current industries (or exports). More specifically, it measures the likelihood of different industries (or exports) appearing and the value of their added complexity. Higher outlook values indicate \u201ccloser distance\u201d to more, and more complex, industries (or exports).

Industry complexity outlook values are computed for departments and cities, not for the rest of municipalities. Export complexity outlook values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

DANE

DANE is the National Statistical Office. It is the source of all data on GDP and population used by Datlas.

DIAN

DIAN is the National Tax and Customs Authority. It is the source of all data on exports and imports by department and municipality in Datlas.

Distance

A measure of a location\u2019s ability to enter a specific industry or export, as determined by its current productive capabilities. Also known as a capability distance, the measure accounts for the similarity between the capabilities required by an industry or export and the capabilities already present in a location\u2019s industries or exports. Where a new industry or export requires many of the same capabilities already present in a location\u2019s industries or exports, the product is considered \u201ccloser\u201d or of a shorter \u201cdistance\u201d to acquire the missing capabilities to produce it. New industries or exports of a further distance require larger sets of productive capabilities that do not exist in the location and are therefore riskier ventures or less likely to be sustained. Thus, distance reflects the proportion of the productive knowledge necessary for an industry or export that a location does not have. This is measured by the proximity between industries or exports, or the probability that two industries or exports will both be present in a location, as embodied by the industry space and product space, respectively.

Industry distance values are computed for departments and cities, but not for the rest of municipalities. Export distance values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Diversity

A measure of how many different types of products a place is able to produce. The production of a good requires a specific set of know-how; therefore, a country\u2019s total diversity is another way of expressing the amount of collective know-how that a place has.

Economic Complexity Index (ECI)

A measure of the sophistication of the productive capabilities of a location based on the diversity and ubiquity of its industries or exports. A location with high complexity produces or exports goods and services that few other locations produce. Highly complex locations tend to be more productive and generate higher wages and incomes. Countries with export baskets more sophisticated than what is expected for their income level (such as China) tend to grow faster than those where the opposite is true (such as Greece).

Industry ECI values are computed for departments and cities, but not for the rest of municipalities. Export ECI values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Formal employment and wages, and formal employment rate

Formal employment is defined as employment covered by the health social security system and/or the pension system. The self-employed are not included. Formal wages are those reported by firms to that aim. Formal employment reported is the number of formal employees in an average month. Formality rate is defined as formal employment divided by population older than 15. Employment and wage data are taken from PILA. Population data comes from DANE.

Industry Complexity Index (ICI)

A measure of the amount of productive capabilities that an industry requires to operate. The ICI and the Product Complexity Index (PCI) are closely related, but are measured through independent datasets and classification systems as the PCI is computed only for internationally tradable goods, while the ICI is calculated for all industries that generate formal employment, including the public sector. Industries are complex when they require a sophisticated level of productive knowledge, such as many financial services and pharmaceutical industries, with many individuals with distinct specialized knowledge interacting in a large organization. Complexity of the industry is measured by calculating the average diversity of locations that hold the industry and the average ubiquity of the industries that those locations hold. The formal employment data required for these calculations comes from the PILA dataset held by the Ministry of Health.

Industry classification system

Colombia\u2019s industry classification system is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). Datlas shows industry information at two- and four-digit level. All industry data come from PILA. Following national accounting conventions, workers hired by temporary employment firms are classified in the labor recruitment industry (7491), not in the industry of the firm where they physically work.

Industry technological similarity space (or industry space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between industries. Each dot represents an industry and each link between a pair of industries indicates that they require similar productive capabilities to operate. Colored dots are industries with revealed comparative advantage larger than one. When an industry is selected, the map shows the industries that require similar productive capabilities. An industry with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing industries share to untapped, complex industries determines the complexity outlook of the location. The Colombian industry similarity space is based on formal employment data by industry and municipality from the PILA dataset of the Ministry of Health.

Metropolitan area

A metropolitan area is a combination of two or more municipalities that are connected through relatively large commuting flows (irrespective of their size or contiguity). A municipality must send at least 10% of its workers as daily commuters to the rest of the metropolitan area municipalities to be included.

Based on this definition there are 19 metropolitan areas in Colombia, which comprise 115 municipalities. The resulting metro areas, which are distinct from official measures, are computed with the methodology of G. Duranton (2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Occupations

Occupations are classified according to the Occupational Information Network Numerical Index (ONET). All data on occupations (wages offered by occupation, occupational structure by industry, and education level required by occupation) come from job vacancy announcements placed by firms in public and private Internet job sites during 2014. The data were processed by Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).

Opportunity gain

Measures how much a location could benefit by developing a particular industry (or export). Also known also as \u201cstrategic value,\u201d the measure accounts for the distances to all other industries (or exports) that a location does not currently produce with revealed comparative advantage larger than one and their respective complexities. Opportunity gain quantifies how a new industry (or export) can open up links to more, and more complex, products. Thus, the measure calculates the value of an industry (or export) based on the paths it opens to industrial expansion into more complex sectors.

Industry opportunity gain values are computed for departments and cities, but not for the rest of municipalities. Export opportunity gain values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

PILA

PILA is the Integrated Report of Social Security Contributions, managed by the Ministry of Health. It is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry.

Product Complexity Index (PCI)

Measures the amount of productive capabilities required to manufacture a product. Complex exports, which include many chemical and machinery products, require a sophisticated level, and diverse base, of productive knowledge, with many individuals with distinct specialized knowledge interacting in a large organization. This contrasts with low complexity exports, like coffee, which require much less basic productive knowledge that can be found in a family-run business. UN Comtrade data are used to compute the complexity of export products.

Product technological similarity space (or product space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between export products. Each dot represents a product and each link between a pair of products indicates that the two products require similar capabilities in their production. Colored dots are exports with revealed comparative advantage larger than one. When a product is selected, the map shows the products that require similar productive capabilities. A product with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing products share to complex products that a location does not currently produce determines the complexity outlook of its exports.

The shape of the space is based on international trade data for 192 countries over 50 years. See The International Atlas of Economic Complexity.

Revealed Comparative Advantage (RCA)

Measures the relative size of an industry or an export product in a location. RCA is not a measure of productive efficiency or competitiveness, but just a \u201clocation quotient\u201d, as is often referred to. RCA is computed as the ratio between an industry\u2019s share of total formal employment in a location and the share of that industry\u2019s total formal employment in Colombia as a whole. For instance, if the chemical industry generates10% of a city\u2019s employment, while it generates only 1% of total employment in Colombia, the RCA of the industry in the city is 10. For exports, RCA is the ratio between the share of the export in the export basket of the location and its share in total world trade. If this ratio is larger than 1, the location is said to have revealed comparative advantage in the industry or export. For instance, if a department\u2019s coffee exports are 30% of its exports but coffee accounts for just 0.3% of world trade, the department\u2019s RCA in coffee is 100.

Ubiquity

A measure of the number of places that are able to make a product.

UPAs and UPNAs

Rural production units are classified according to DANE\u2019s Agricultural National Census (2014) in \u201cagriculture production units\u201d, or UPAs, and \u201cnon-agriculture production units\u201d, or UPNAs. While agriculture production (which includes crops and livestock) can only take place in UPAs, both UPAs and UPNAs may have non-agriculture production activities.

Yield

For any product and location, land productivity is the yield in tons per hectare of harvested land. Computations are made by agricultural year (adding up the second semester of the previous year and the first semester of the corresponding year) with data taken from the Ministry of Agriculture\u2019s Agronet survey (2017).

Yield Indices

A yield index (for any product and location) is the yield divided by the national-level yield. Yield indexes for more than one product (by location) are computed as the weighted average of the yield indices of the products, where the weights are the corresponding lands harvested for each product.

\n", + "about.glossary_name": "Glossary", + "about.project_description.cid.header": "CID and the Growth Lab", + "about.project_description.cid.p1": "This project was developed by the Center for International Development at Harvard University, under the leadership of Professor Ricardo Hausmann.", + "about.project_description.cid.p2": "The Center for International Development (CID) at Harvard University works to advance the understanding of development challenges and offer viable, inclusive solutions to problems of global poverty. The Growth Lab is one of CID\u2019s core research programs.", + "about.project_description.contact.header": "Contact information", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex is the entrepreneurial development bank of Colombia. It is committed to developing financial and non-financial instruments geared to enhance the competitiveness, productivity, growth and internationalization of Colombian enterprises. Leveraging on its unique relational equity and market position, Banc\u00f3ldex manages financial assets, develops access solutions to financing and deploys innovative capital solutions, to foster and accelerate company growth. Besides offering traditional loans, Banc\u00f3ldex has been appointed to implement several development program such as iNNpulsa Colombia, iNNpulsa Mipyme, Banca de las Oportunidades, and the Productive Transformation Program, all of them, in an effort to consolidate an integrated offer to promote Colombian business environment and overall competitiveness. Datlas elaborates on the work that Banc\u00f3ldex has been undertaking through its Productive Transformation Program and INNpulsa Colombia initiatives.", + "about.project_description.founder2.header": "The National Department of Planning", + "about.project_description.founder2.p": "The National Department of Planning (DNP) is an Administrative Department that belongs to the executive branch of public power and reports directly to the President of the Republic. The DNP is a technical institution that promotes the implementation of a strategic vision for the country in the social, economic and environmental fields, through the design, direction and evaluation of public policies to Colombia, also is the responsible of the management, allocation of the public investment and the realization of the plans, programs and projects of the government.", + "about.project_description.founder3.header": "Mario Santo Domingo Foundation", + "about.project_description.founder3.p": "Created in 1953, the Mario Santo Domingo Foundation (FMSD) is a non-profit organization dedicated to implementing community development programs in Colombia. FMSD decided to concentrate its main efforts in the construction of affordable housing within a Community Development Model, named Integral Development of Sustainable Communities (DINCS in its Spanish initials) and designed by the FMSD as a response to the large housing deficit in Colombia. Through this program, the FMSD delivers social support for families, and social infrastructure and urban development for the less privileged. FMSD also supports entrepreneurs in the Northern region of Colombia and in Bogot\u00e1 through its Microfinance Unit which provides training and financial services such as microcredit. More than 130,000 entrepreneurs have received loans from the Foundation since its launch in 1984. The FMSD works also to identify alliances and synergies between the public and private sectors in critical social development areas such as early childhood, environmental sustainability, disaster attention, education and health.", + "about.project_description.founders.header": "Founding Partners", + "about.project_description.founders.p": "This project is funded by Banc\u00f3ldex and Fundaci\u00f3n Mario Santo Domingo ", + "about.project_description.github": "See our code", + "about.project_description.intro.p1": "In Colombia, income gaps between regions are huge and have been growing: new job opportunities are increasingly concentrated in the metropolitan areas of Bogot\u00e1, Medell\u00edn and Cali, as well as a few places where oil and other minerals are extracted. The average income of residents of Bogot\u00e1 is four times that of Colombians living in the 12 poorest departments", + "about.project_description.intro.p2": "Datlas is a diagnostic tool that firms, investors and policymakers can use to improve the productivity of departments, cities and municipalities. It maps the geographical distribution of Colombia\u2019s productive activities and employment by department, metropolitan area and municipality, and identifies exports and industries of potential to increase economic complexity and accelerate growth.", + "about.project_description.intro.p3": "Economic complexity is a measure of the amount of productive capabilities, or knowhow, that a country or a city has. Products are vehicles for knowledge. To make a shirt, one must design it, produce the fabric, cut it, sew it, pack it, market it and distribute it. For a country to produce shirts, it needs people who have expertise in each of these areas. Each of these tasks involves many more capabilities than any one person can master. Only by combining know-how from different people can any one product be made. The road to economic development involves increasing what a society knows how to do. Countries with more productive capabilities can make a greater diversity of products. Economic growth occurs when countries develop the capabilities and productive knowledge to produce more, and more complex, products.", + "about.project_description.intro.p4": "This conceptual approach, which has been applied at the international level in The Atlas of Economic Complexity, is now used in this online tool to investigate export and industry possibilities at the sub-national level in Colombia.", + "about.project_description.letter.header": "Sign up for our Newsletter", + "about.project_description.letter.p": "Sign up for CID\u2019s Research Newsletter to keep up-to-date with related breakthrough research and practical tools, including updates to this site http://www.hks.harvard.edu/centers/cid/news-events/subscribe ", + "about.project_description.team.header": "Academic and Technical Team", + "about.project_description.team.p": "The academic team at Harvard\u2019s CID included Ricardo Hausmann (director), Andr\u00e9s G\u00f3mez- Li\u00e9vano, Eduardo Lora and Sid Ravinutala. In previous phases of the project, Tim Cheston, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery and Juan T\u00e9llez were part of the academic team. Programming and visualization team at Harvard\u2019s CID: Annie White (coordinator) and Mali Akmanalp. In previous phases of the project, Katy Harris, Quinn Lee, Greg Shapiro, Romain Vuillemot and Gus Wezerek were part of the programming and visualization team. Compilation and processing of job vacancies data in Colombia were done by Jeisson Arley C\u00e1rdenas Rubio (Institute for Employment Research \u2013IER, University of Warwick) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics). Updates by Gustavo Montes and Oscar Hern\u00e1ndez (Banc\u00f3ldex).", + "about.project_description_name": "About", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.agproducts": "Tons Produced Per Crop in Colombia", + "country.show.agproducts.production_tons": "Production (tons)", + "country.show.average_livestock_load": "628 livestock / UPA", + "country.show.dotplot-column": "Departments Across Colombia", + "country.show.eci": "0.037", + "country.show.economic_structure": "Economic Structure", + "country.show.economic_structure.copy.p1": "With a population of 49.5 million (as of December 2017), Colombia is the third largest country in Latin America. Its total GDP in 2016 was Col$772.4 trillion, or US$253.2 billion at the average exchange rate of 2016 (1 US dollar = 3.050 Colombian pesos). In 2016, income per capita reached Col$17.708.353 or US$5.806 . Colombia\u2019s economic growth rate hits 2% in 2016.", + "country.show.economic_structure.copy.p2": "Business and financial services contribute 20.9% of GDP, making it the largest industry, followed by governmental, communal and personal services (15,4%) and manufacturing activities (11,2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 25.7, 13.9 and 9.7% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", + "country.show.employment_wage_occupation.copy.p1": "The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that the effective number of year-round workers in the formal sector in 2016 was 8.2 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 31.7%, 17.1%, and 10.8% of (effective) formal employment.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", + "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", + "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", + "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", + "country.show.exports": "Exports", + "country.show.exports.copy.p1": "Colombia exported US$32.5 billion in 2016, down from $35.1 billion in 2015 and $57.8 billion in 2016. Its main export partners are the United States, Panama, China and Spain. In 2016, minerals products (of which oil, coal and nickel are the largest items) comprised 51.75% of total merchandise exports, vegetables, foodstuffs and wood contributed 22.57%, and chemical and plastics products totaled 9.78% of exports. The following graphs provide further details.", + "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", + "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", + "country.show.gdp": "Col $756,152 T", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Industry Complexity", + "country.show.industry_complex.copy.p1": "Industry complexity is a measure of the range of capabilities, skills or know-how required by an industry. Industries such as chemicals and machinery are said to be highly complex, because they require a sophisticated level of productive knowledge likely to be present only in large organizations where a number of highly specialized individuals interact. Conversely, industries such as retail trade or restaurants require only a basic level of know-how which may be found at a family-run business. More complex industries contribute to raising productivity and income per- capita. Departments and cities with more complex industries have a more diversified industrial base and tend to create more formal employment.", + "country.show.industry_complex.copy.p2": "The 'IndustryTechnological Similarity Space\u2019 (or Industry Space) shown below is a graphical representation of the similarity between the capabilities and know-how required by pairs of industries. Each dot or node represents an industry; nodes connected by lines require similar capabilities. More connected industries use capabilities that can be deployed in many other industries. Colors represent industry groupings.", + "country.show.industry_space": "Industry Space", + "country.show.landuses": "Land Uses in Colombia", + "country.show.landuses.area": "Total Area (ha)", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Total advertised vacancies", + "country.show.population": "48.1 million", + "country.show.product_space": "Product Space", + "country.show.total": "Total", + "ctas.csv": "CSV", + "ctas.download": "Download this data", + "ctas.embed": "Embed", + "ctas.excel": "Excel", + "ctas.export": "Export", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Share", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ".", + "downloads.cta_download": "Download", + "downloads.cta_na": "Not available", + "downloads.head": "About the Data", + "downloads.industry_copy": "PILA (the Integrated Report of Social Security Contributions), managed by the Ministry of Health) is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry. Colombia\u2019s industry classification is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). The list of industries can be found in the downloadable databases for industries. The list of industries in the ISIC which are not included in the industry space (for reasons explained in \"Calculation Methods\") can be downloaded here.", + "downloads.industry_head": "Industry data (PILA)", + "downloads.industry_row_1": "Employment, wages, number of firms and complexity indicators ({{yearRange}})", + "downloads.list_of_cities.header": "Lists of departments, cities and municipalities", + "downloads.map.cell": "Map boundary and geo data is from GeoFabrik.de, based on OpenStreetMap data", + "downloads.map.header": "Map Data", + "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", + "downloads.occupations_head": "Occupations data", + "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", + "downloads.other_head": "Other data (DANE)", + "downloads.other_row_1": "GDP and demographic variables", + "downloads.rural_agproduct": "Agricultural products", + "downloads.rural_copy": "

Two sources of rural data are utilized: DANE\u2019s Agricultural National Census (2014) and the Ministry of Agriculture\u2019s Agronet survey (2017).

Land use classification and the corresponding extensions in hectares (1 hectare = 10,000 squared meters) come from the Census. Rural production units are classified according to the Census in \u201cAgriculture Production Units\u201d, or UPAs, and \u201cNon-Agriculture Production units\u201d, or UPNAs. While agriculture production (which includes crops and livestock) can only take place in UPAs, both UPAs and UPNAs may have non-agriculture production activities. The classification of non-agriculture production activities comes from the Census and does not match the CIIU classification used for industries. UPAs and UPNAs may be informal (not registered as businesses).

Crop information, which comes from Agronet, is for agricultural years 2008-2015 (an agricultural year corresponds to the second semester of the previous year and the first semester of the corresponding year). Land sown and land harvested are measured in hectares and production is measured in metric tons (in all cases, adding the two semesters of the agricultural year). Land productivity (for any product and location) is the yield in tons per hectare of harvested land. A yield index (for any product and location) is the yield divided by the national-level yield. Yield indexes for more than one product (by location) are computed as the weighted average of the yield indices of the products, where the weights are the corresponding lands harvested for each product.

It is important to bear in mind that the information presented in this section for sugarcane corresponds to the yield (ton/ha) of green material and not to sugar. This is because there is a ratio of approximately 10 tons of green material per ton of sugar.

", + "downloads.rural_farmsize": "Size of UPA", + "downloads.rural_farmtype": "Type of UPA", + "downloads.rural_head": "Rural data", + "downloads.rural_landuse": "Land use", + "downloads.rural_livestock": "Livestock", + "downloads.rural_nonag": "Non-agricultural activities", + "downloads.thead_departments": "Departments", + "downloads.thead_met": "Cities", + "downloads.thead_muni": "Municipalities", + "downloads.thead_national": "National", + "downloads.trade_copy": "The source of all data on exports and imports by department and municipality is DIAN\u2019s Customs Data (DIAN is the National Tax and Customs Authority). Colombian Customs uses the product classification NANDINA, which matches the Harmonized System (HS) classification at the 6-digit level. We then standardize that to HS 1992 in order to fix any version inconsistencies across the years in order to be able to view the data over time. The list of products can be found in the downloadable databases for exports and imports.

The origin of an export is established in two stages. First, the department of origin is defined as the last place of processing, assembly or packaging, according with DIAN. Then, export values are distributed among municipalities according with the composition of employment of the exporting firm based on PILA (for firms without this information the value is assigned to the capital of department). In the case of petroleum oil (2709) and gas (2711), total export values were distributed by origin according to production by municipality (sources: Hydrocarbons National Agency and Colombian Petroleum Association), and in the case of oil refined products (2710), according to value added by municipality (industries 2231, 2322 and 2320 SIIC revision 3, Annual Manufacturing Survey, DANE).

\u00a0

Export totals by product may not correspond to official data because the following are excluded: (a) exports lacking information on the industry of the exporter and/or the department or municipality of origin, and (b) exports for which DIAN reports free zones as the place of destination; while the following are included: (c) exports from free zones, which DIAN does not include in those export totals.

In a similar fashion, import totals by product may not correspond to official data because the following are excluded: (a) imports lacking information on the department or municipality of destination, and (b) imports for which DIAN reports free zones as the place of origin; while the following are included: (c) imports done by free zones, which DIAN does not include in those import totals.

A file that describes the correspondence between the HS version used by DIAN and HS 1992 can be found here.

Included here is a file with the list of products in the Harmonized System that are not represented in the product space (for reasons explained in \"Calculation Methods\").", + "downloads.trade_head": "Trade data (DIAN)", + "downloads.trade_row_1": "Exports, imports and export complexity indicators ({{yearRange}})", + "downloads.trade_row_2": "Exports and imports with country of destination and origin ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Products", + "general.geo": "Geographic map", + "general.glossary": "Glossary", + "general.industries": "Industries", + "general.industry": "industry", + "general.location": "location", + "general.locations": "Locations", + "general.multiples": "Area charts", + "general.occupation": "occupation", + "general.occupations": "Occupations", + "general.product": "product", + "general.scatter": "Scatterplot", + "general.similarity": "Industry Space", + "general.total": "Total", + "general.treemap": "Treemap", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glossary", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.industry.cities.employment": "Total employment", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Average monthly wages", + "graph_builder.builder_mod_header.industry.cities.wages": "Total wages", + "graph_builder.builder_mod_header.industry.departments.employment": "Total employment", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Average monthly wages", + "graph_builder.builder_mod_header.industry.departments.wages": "Total wages", + "graph_builder.builder_mod_header.industry.locations.employment": "Total employment", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Average monthly wages", + "graph_builder.builder_mod_header.industry.locations.wages": "Total wages", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total advertised vacancies", + "graph_builder.builder_mod_header.landUse.departments.area": "Total area", + "graph_builder.builder_mod_header.landUse.municipalities.area": "Total area", + "graph_builder.builder_mod_header.livestock.departments.num_farms": "Number of UPAs", + "graph_builder.builder_mod_header.livestock.departments.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.livestock.municipalities.num_farms": "Number of UPAs", + "graph_builder.builder_mod_header.livestock.municipalities.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "Land harvested (hectares)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "Land sown (hectares)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.location.agproducts.yield_ratio": "Productivity (tons/ha)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "UPAs and UPNAs", + "graph_builder.builder_mod_header.location.industries.employment": "Total employment", + "graph_builder.builder_mod_header.location.industries.scatter": "Complexity,distance and opportunity gain of potential industries", + "graph_builder.builder_mod_header.location.industries.similarity": "Industries with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.location.industries.wages": "Total wages", + "graph_builder.builder_mod_header.location.landUses.area": "Total area", + "graph_builder.builder_mod_header.location.livestock.num_farms": "Number of livestock UPAs", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.nonags.num_farms": "Number of UPNAs", + "graph_builder.builder_mod_header.location.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.location.partners.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.export_value": "Total exports", + "graph_builder.builder_mod_header.location.products.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.scatter": "Complexity, distance and opportunity gain of potential export products", + "graph_builder.builder_mod_header.location.products.similarity": "Export products with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.nonag.departments.num_farms": "Number of UPNAs", + "graph_builder.builder_mod_header.nonag.municipalities.num_farms": "Number of UPNAs", + "graph_builder.builder_mod_header.product.cities.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.cities.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.departments.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.departments.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.product.partners.import_value": "Total imports", + "graph_builder.builder_nav.header": "More graphs for this {{entity}}", + "graph_builder.builder_nav.intro": "Select a question to see the corresponding graph. If the question has missing parameters ({{icon}}) , you\u2019ll fill those in when you click.", + "graph_builder.builder_questions.city": "Questions: Cities", + "graph_builder.builder_questions.department": "Questions: Departments", + "graph_builder.builder_questions.employment": "Questions: Employment", + "graph_builder.builder_questions.export": "Questions: Exports", + "graph_builder.builder_questions.import": "Questions: Imports", + "graph_builder.builder_questions.industry": "Questions: Industries", + "graph_builder.builder_questions.landUse": "Questions: Land Use ", + "graph_builder.builder_questions.land_harvested": "Questions: Land Harvested", + "graph_builder.builder_questions.land_sown": "Questions: Land Sown", + "graph_builder.builder_questions.livestock_num_farms": "Questions: Number of UPAs", + "graph_builder.builder_questions.livestock_num_livestock": "Questions: Number of livestock", + "graph_builder.builder_questions.location": "Questions: Locations", + "graph_builder.builder_questions.nonag": "Questions: Non-agricultural Activities", + "graph_builder.builder_questions.occupation": "Questions: Occupations", + "graph_builder.builder_questions.partner": "Questions: Partners", + "graph_builder.builder_questions.product": "Questions: Products", + "graph_builder.builder_questions.production_tons": "Questions: Production", + "graph_builder.builder_questions.rural": "Questions: Rural activities", + "graph_builder.builder_questions.wage": "Questions: Total Wages", + "graph_builder.change_graph.geo_description": "Map the data", + "graph_builder.change_graph.label": "Change graph", + "graph_builder.change_graph.multiples_description": "Compare growth over time", + "graph_builder.change_graph.scatter_description": "Plot complexity and distance", + "graph_builder.change_graph.similarity_description": "Show revealed comparative advantages", + "graph_builder.change_graph.treemap_description": "See composition at different levels", + "graph_builder.change_graph.unavailable": "Graph is unavailable for this question", + "graph_builder.download.agproduct": "Agricultural Product", + "graph_builder.download.area": "Area", + "graph_builder.download.average_livestock_load": "Livestock load", + "graph_builder.download.average_wages": "Avg. monthly wage, Col$", + "graph_builder.download.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.download.code": "Code", + "graph_builder.download.cog": "Opportunity gain", + "graph_builder.download.complexity": "Complexity", + "graph_builder.download.distance": "Distance", + "graph_builder.download.eci": "Export complexity", + "graph_builder.download.employment": "Employment", + "graph_builder.download.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.download.export": "Export", + "graph_builder.download.export_num_plants": "Firm number", + "graph_builder.download.export_rca": "Revealed comparative advantage", + "graph_builder.download.export_value": "Exports, USD", + "graph_builder.download.farmtype": "Type of UPA", + "graph_builder.download.gdp_pc_real": "GDP per Capita, Col $", + "graph_builder.download.gdp_real": "GDP, Col $", + "graph_builder.download.import_value": "Imports, USD", + "graph_builder.download.industry": "Industry", + "graph_builder.download.industry_eci": "Industry complexity", + "graph_builder.download.land_harvested": "Land harvested (ha)", + "graph_builder.download.land_sown": "Land sown (ha)", + "graph_builder.download.land_use": "Land Use", + "graph_builder.download.less_than_5": "Less than 5", + "graph_builder.download.livestock": "Livestock", + "graph_builder.download.location": "Location", + "graph_builder.download.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.download.name": "Name", + "graph_builder.download.num_establishments": "Firm number", + "graph_builder.download.num_farms": "Number of Production Units", + "graph_builder.download.num_farms_ag": "Number of UPAs", + "graph_builder.download.num_farms_nonag": "Number of UPNAs", + "graph_builder.download.num_livestock": "Number of livestock", + "graph_builder.download.num_vacancies": "Vacancies", + "graph_builder.download.occupation": "Occupation", + "graph_builder.download.parent": "Parent", + "graph_builder.download.population": "Population", + "graph_builder.download.production_tons": "Production (tons)", + "graph_builder.download.rca": "Revealed comparative advantage", + "graph_builder.download.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.download.wages": "Total wages, Col$", + "graph_builder.download.year": "Year", + "graph_builder.download.yield_index": "Yield Index", + "graph_builder.download.yield_ratio": "Yield (tons/ha)", + "graph_builder.explanation": "Explanation", + "graph_builder.explanation.agproduct.departments.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Hide", + "graph_builder.explanation.industry.cities.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.cities.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Shows the composition of vacancies announced in Internet sites and wages offered.", + "graph_builder.explanation.landUse.departments.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.landUse.municipalities.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.departments.num_farms": "Shows the composition of locations for this livestock type, by number of UPAs. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.departments.num_livestock": "Shows the composition of locations for this livestock type, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.municipalities.num_farms": "Shows the composition of locations for this livestock type, by number of UPAs. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.livestock.municipalities.num_livestock": "Shows the composition of locations for this livestock type, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.agproducts.land_harvested": "Shows the composition of agricultural products of this location, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Shows the composition of agricultural products of this location, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Shows the composition of agricultural products of this location, by weight. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.yield_ratio": "Shows the productivity of the UPAs of this location, by agricultural product. Source: Agronet (2017), Ministerio de Agricultura. Link. Information about sugarcane: It is important to bear in mind that the information presented in this section for sugarcane corresponds to the yield (ton/ha) of green material and not to sugar. This is because there is a ratio of approximately 10 tons of green material per ton of sugar.", + "graph_builder.explanation.location.farmtypes.num_farms": "Shows the composition of UPAs in this location, by type of UPA. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.industries.employment": "Shows the industry composition of formal empoyment in the department. Source: PILA.", + "graph_builder.explanation.location.industries.scatter": "Dots represent industries. Upon selecting a dot, a display shows the industry name and its revealed comparative advantage in the location. Colors represent industry groups (see the table). The vertical axis is the Industry Complexity Index and the horizontal axis is the Distance from the existing industries, where shorter distances mean that the location has more of the knowhow needed to develop the industry. The size of the dots is proportional to the Opportunity Gain of the industry for the department, namely the potential that the industry offers for the department to acquire new capabilities that may help to develop other industries. The more interesting industries are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.industries.similarity": "The industry technological similarity space (or industry space) shows how similar is the knowhow required by any pair of industries. Each dot represents an industry. Dots connected with a line represent industries that require similar knowhow. Dots colored are industries with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an industry group (see table). Upon selecting a dot, a display shows the industry name, its RCA and its links to other industries. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.location.industries.wages": "Shows the industry composition of total wages paid in the department or city. Source: PILA.", + "graph_builder.explanation.location.landUses.area": "Shows the composition of land uses in this location, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_farms": "Shows the composition of livestock types of this location, by number of UPAs. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_livestock": "Shows the composition of livestock types of this location, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.nonags.num_farms": "Shows the composition of non-agricultural activities performed in this location, by the number of UPAs that perform them. Source: CNA", + "graph_builder.explanation.location.partners.export_value": "Shows the destination country composition of exports of this place, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Shows the countries from which this location imports products, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.products.export_value": "Shows the product composition of exports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.import_value": "Shows the product composition of imports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.scatter": "Dots represent export products. Upon selecting a dot, a display shows the product name and its revealed comparative advantage in the department or city. Colors represent product groups (see the table). The vertical axis is the Product Complexity Index and the horizontal axis is the Distance from the existing exports, where shorter distances mean that the location has more of the knowhow needed to export the product. The dashed line is the average Index of Economic Complexity of the place. The size of the dots is proportional to the Opportunity Gain of the export for the department or city, namely the potential that exporting the product offers for the department or city to acquire new capabilities that may help to export other products. The more interesting export products are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.products.similarity": "The product technological similarity space (or product space) shows how similar is the knowhow required by any pair of export products. Each dot represents an export product. Dots connected with a line represent products that require similar knowhow. Dots colored are products with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an export group (see table). Upon selecting a dot, a display shows the product name, its RCA and its links to other products. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.nonag.departments.num_farms": "Shows the composition of locations that perform this non-agricultural activity, by number of UPAs that perform it. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.nonag.municipalities.num_farms": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.product.cities.export_value": "Shows the composition by city of the product exports. Source: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Shows the composition by city of the product imports. Source: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Shows the composition by department of the product exports. Source: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Shows the composition by department of the product imports. Source: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Shows where Colombia exports this product to, nested by world regions. Source: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Shows where Colombia imports this product from, nested by world regions. Source: DIAN.", + "graph_builder.explanation.show": "Show", + "graph_builder.multiples.show_all": "Show All", + "graph_builder.page_title.agproduct.departments.land_harvested": "What departments harvest this agricultural product?", + "graph_builder.page_title.agproduct.departments.land_sown": "What departments sow this agricultural product?", + "graph_builder.page_title.agproduct.departments.production_tons": "What departments produce this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "What municipalities harvest this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "What municipalities sow this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "What municipalities produce this agricultural product?", + "graph_builder.page_title.industry.cities.employment": "What cities in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.cities.wages": "What cities in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.departments.employment": "What departments in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.departments.wages": "What departments in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.occupations.num_vacancies": "What occupations does this industry employ?", + "graph_builder.page_title.landUse.departments.area": "Which departments have this type of land use?", + "graph_builder.page_title.landUse.municipalities.area": "Which municipalities have this type of land use?", + "graph_builder.page_title.livestock.departments.num_farms": "How many rural production units raise this livestock species in each department?", + "graph_builder.page_title.livestock.departments.num_livestock": "How many animals of this livestock species are raised in each department?", + "graph_builder.page_title.livestock.municipalities.num_farms": "How many rural production units raise this livestock species in each municipality?", + "graph_builder.page_title.livestock.municipalities.num_livestock": "How many animals of this livestock species are raised in each municipality?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "How many hectares per crop are harvested in Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "How many hectares per crop are harvested in this department?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "How many hectares per crop are harvested in this municipality?", + "graph_builder.page_title.location.agproducts.land_sown.country": "How many hectares per crop are sown in Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "How many hectares per crop are sown in this department?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "How many hectares per crop are sown in this municipality?", + "graph_builder.page_title.location.agproducts.production_tons.country": "How many tons of each crop does Colombia produce?", + "graph_builder.page_title.location.agproducts.production_tons.department": "How many tons of each crop does this department produce?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "How many tons of each crop does this municipality produce?", + "graph_builder.page_title.location.agproducts.yield_ratio.country": "What is the yield (ton/ha) of crops in Colombia?", + "graph_builder.page_title.location.agproducts.yield_ratio.department": "What is the yield (ton/ha) of crops in this department?", + "graph_builder.page_title.location.agproducts.yield_ratio.municipality": "What is the yield (ton/ha) of crops in this municipality?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "Where does this department export oil to?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "Where does this department import cars from?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "How many agricultural production units (UPAs) and non-agricultural production units (UPNAs) are there in Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "How many agricultural production units (UPAs) and non-agricultural production units (UPNAs) are there in this department?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "How many agricultural production units (UPAs) and non-agricultural production units (UPNAs) are there in this municipality?", + "graph_builder.page_title.location.industries.employment.country": "What industries in Colombia employ the most people?", + "graph_builder.page_title.location.industries.employment.department": "What industries in this department employ the most people?", + "graph_builder.page_title.location.industries.employment.msa": "What industries in this city employ the most people?", + "graph_builder.page_title.location.industries.employment.municipality": "What industries in this municipality employ the most people?", + "graph_builder.page_title.location.industries.scatter.country": "What relatively complex industries have the most possibilities for Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "What relatively complex industries have the most possibilities for this department?", + "graph_builder.page_title.location.industries.scatter.msa": "What relatively complex industries have the most possibilities for this city?", + "graph_builder.page_title.location.industries.scatter.municipality": "What relatively complex industries have the most possibilities for this municipality?", + "graph_builder.page_title.location.industries.similarity.country": "Where is Colombia in the industry space?", + "graph_builder.page_title.location.industries.similarity.department": "Where is this department in the industry space?", + "graph_builder.page_title.location.industries.similarity.msa": "Where is this city in the industry space?", + "graph_builder.page_title.location.industries.similarity.municipality": "Where is this municipality in the industry space?", + "graph_builder.page_title.location.industries.wages.country": "What industries in Colombia are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.department": "What industries in this department are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.msa": "What industries in this city are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.municipality": "What industries in this municipality are the largest by total wages?", + "graph_builder.page_title.location.landUses.area.country": "How is the land used in Colombia?", + "graph_builder.page_title.location.landUses.area.department": "How is the land used in this department?", + "graph_builder.page_title.location.landUses.area.municipality": "How is the land used in this municipality?", + "graph_builder.page_title.location.livestock.num_farms.country": "How many rural production units raise each livestock species in Colombia?", + "graph_builder.page_title.location.livestock.num_farms.department": "How many rural production units raise each livestock species in this department?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "How many rural production units raise each livestock species in this municipality?", + "graph_builder.page_title.location.livestock.num_livestock.country": "How many and which livestock species are raised in Colombia?", + "graph_builder.page_title.location.livestock.num_livestock.department": "How many and which livestock species are raised in this department?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "How many and which livestock species are raised in this municipality?", + "graph_builder.page_title.location.nonags.num_farms.country": "What non-agricultural activities do the rural production units of Colombia perform?", + "graph_builder.page_title.location.nonags.num_farms.department": "What non-agricultural activities do the rural production units of this department perform?", + "graph_builder.page_title.location.nonags.num_farms.municipality": "What non-agricultural activities do the rural production units of this municipality perform?", + "graph_builder.page_title.location.partners.export_value.country": "What countries does Colombia export to?", + "graph_builder.page_title.location.partners.export_value.department": "What countries does this department export to?", + "graph_builder.page_title.location.partners.export_value.msa": "What countries does this city export to?", + "graph_builder.page_title.location.partners.export_value.municipality": "What countries does this municipality export to?", + "graph_builder.page_title.location.partners.import_value.country": "What countries does Colombia import from?", + "graph_builder.page_title.location.partners.import_value.department": "What countries does this department import from?", + "graph_builder.page_title.location.partners.import_value.msa": "What countries does this city import from?", + "graph_builder.page_title.location.partners.import_value.municipality": "What countries does this municipality import from?", + "graph_builder.page_title.location.products.export_value.country": "What products does Colombia export?", + "graph_builder.page_title.location.products.export_value.department": "What products does this department export?", + "graph_builder.page_title.location.products.export_value.msa": "What products does this city export?", + "graph_builder.page_title.location.products.export_value.municipality": "What products does this municipality export?", + "graph_builder.page_title.location.products.import_value.country": "What products does Colombia import?", + "graph_builder.page_title.location.products.import_value.department": "What products does this department import?", + "graph_builder.page_title.location.products.import_value.msa": "What products does this city import?", + "graph_builder.page_title.location.products.import_value.municipality": "What products does this municipality import?", + "graph_builder.page_title.location.products.scatter.country": "What products have the most potential for Colombia?", + "graph_builder.page_title.location.products.scatter.department": "What products have the most potential for this department?", + "graph_builder.page_title.location.products.scatter.msa": "What products have the most potential for this city?", + "graph_builder.page_title.location.products.scatter.municipality": "What products have the most potential for this municipality?", + "graph_builder.page_title.location.products.similarity.country": "Where is Colombia in the product space?", + "graph_builder.page_title.location.products.similarity.department": "Where is this department in the product space?", + "graph_builder.page_title.location.products.similarity.msa": "Where is this city in the product space?", + "graph_builder.page_title.location.products.similarity.municipality": "Where is this municipality in the product space?", + "graph_builder.page_title.nonag.departments.num_farms": "How many rural production units (UPAs and UPNAs) by department have this non-agricultural activity?", + "graph_builder.page_title.nonag.municipalities.num_farms": "How many rural production units (UPAs and UPNAs) by municipality have this non-agricultural activity?", + "graph_builder.page_title.product.cities.export_value": "What cities in Colombia export this product?", + "graph_builder.page_title.product.cities.import_value": "What cities in Colombia import this product?", + "graph_builder.page_title.product.departments.export_value": "What departments in Colombia export this product?", + "graph_builder.page_title.product.departments.import_value": "What departments in Colombia import this product?", + "graph_builder.page_title.product.partners.export_value": "Where does Colombia export this product to?", + "graph_builder.page_title.product.partners.export_value.destination": "Where does {{location}} export {{product}} to?", + "graph_builder.page_title.product.partners.import_value": "Where does Colombia import this product from?", + "graph_builder.page_title.product.partners.import_value.origin": "Where does {{location}} import {{product}} from?", + "graph_builder.questions.label": "Change question", + "graph_builder.recirc.header.industry": "Read the profile for this industry", + "graph_builder.recirc.header.location": "Read the profile for this location", + "graph_builder.recirc.header.product": "Read the profile for this product", + "graph_builder.search.placeholder.agproducts": "Highlight agricultural products in the graph below", + "graph_builder.search.placeholder.cities": "Highlight a city on the graph below", + "graph_builder.search.placeholder.departments": "Highlight a department on the graph below", + "graph_builder.search.placeholder.farmtypes": "Highlight a type of rural production unit in the graph below", + "graph_builder.search.placeholder.industries": "Highlight industries on the graph below", + "graph_builder.search.placeholder.landUses": "Highlight a land use on the graph below", + "graph_builder.search.placeholder.livestock": "Highlight a livestock type in the graph below", + "graph_builder.search.placeholder.locations": "Highlight locations on the graph below", + "graph_builder.search.placeholder.municipalities": "Highlight a municipality on the graph below", + "graph_builder.search.placeholder.nonags": "Highlight a non-agricultural activity on the graph below", + "graph_builder.search.placeholder.occupations": "Highlight an occupation on the graph below", + "graph_builder.search.placeholder.partners": "Highlight trade partners on the graph below", + "graph_builder.search.placeholder.products": "Highlight products on the graph below", + "graph_builder.search.submit": "Highlight", + "graph_builder.settings.change_time": "Change time period", + "graph_builder.settings.close_settings": "Save and close", + "graph_builder.settings.label": "Change Characteristics", + "graph_builder.settings.rca": "Revealed comparative advantage", + "graph_builder.settings.rca.all": "All", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "to", + "graph_builder.settings.year": "Years", + "graph_builder.settings.year.next": "Next", + "graph_builder.settings.year.previous": "Previous", + "graph_builder.table.agproduct": "Agricultural Product", + "graph_builder.table.area": "Area (ha)", + "graph_builder.table.average_livestock_load": "Livestock load", + "graph_builder.table.average_wages": "Avg. monthly wage, Col$", + "graph_builder.table.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.table.code": "Code", + "graph_builder.table.cog": "Opportunity gain", + "graph_builder.table.coi": "Export complexity outlook", + "graph_builder.table.complexity": "Complexity", + "graph_builder.table.country": "Country", + "graph_builder.table.department": "Department", + "graph_builder.table.distance": "Distance", + "graph_builder.table.eci": "Export complexity", + "graph_builder.table.employment": "Employment", + "graph_builder.table.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.table.export": "Export", + "graph_builder.table.export_num_plants": "Firm number", + "graph_builder.table.export_rca": "Revealed comparative advantage", + "graph_builder.table.export_value": "Exports, USD", + "graph_builder.table.farmtype": "Type of UPA", + "graph_builder.table.gdp_pc_real": "GDP per Capita", + "graph_builder.table.gdp_real": "GDP", + "graph_builder.table.import_value": "Imports, USD", + "graph_builder.table.industry": "Industry", + "graph_builder.table.industry_coi": "Industry complexity outlook", + "graph_builder.table.industry_eci": "Industry complexity", + "graph_builder.table.land_harvested": "Land harvested (ha)", + "graph_builder.table.land_sown": "Land sown (ha)", + "graph_builder.table.land_use": "Land Use", + "graph_builder.table.less_than_5": "Less than 5", + "graph_builder.table.livestock": "Livestock", + "graph_builder.table.location": "Location", + "graph_builder.table.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.table.name": "Name", + "graph_builder.table.nonag": "Non-agricultural activities", + "graph_builder.table.num_establishments": "Firm number", + "graph_builder.table.num_farms": "Number of production units", + "graph_builder.table.num_farms_ag": "Number of UPAs", + "graph_builder.table.num_farms_nonag": "Number of UPNAs", + "graph_builder.table.num_livestock": "Number of livestock", + "graph_builder.table.num_vacancies": "Vacancies", + "graph_builder.table.occupation": "Occupation", + "graph_builder.table.parent": "Parent", + "graph_builder.table.parent.country": "Region", + "graph_builder.table.parent.location": "Region", + "graph_builder.table.population": "Population", + "graph_builder.table.production_tons": "Production (tons)", + "graph_builder.table.rca": "Revealed comparative advantage", + "graph_builder.table.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.table.share": "Share", + "graph_builder.table.wages": "Total wages, Col$ (in thousands)", + "graph_builder.table.year": "Year", + "graph_builder.table.yield_index": "Yield Index", + "graph_builder.table.yield_ratio": "Yield (tons/ha)", + "graph_builder.view_more": "View more", + "header.agproduct": "Agricultural products", + "header.destination": "Destination", + "header.destination_by_products": "Destinations by Products", + "header.employment": "Employment", + "header.export": "Exports", + "header.farmtypes.area": "Types of UPAs", + "header.import": "Imports", + "header.index": "Index", + "header.industry": "Industries", + "header.industry_potential": "Potential", + "header.industry_space": "Industry space", + "header.land-use": "Land Use", + "header.landUse": "Land Use", + "header.landUses.area": "Land uses", + "header.land_harvested": "Land Harvested", + "header.land_sown": "Land Sown", + "header.landuse": "Land uses", + "header.livestock": "Livestock", + "header.livestock.num_farms": "Number of UPAs", + "header.livestock.num_livestock": "Number of livestock", + "header.livestock_num_farms": "Number of UPAs", + "header.livestock_num_livestock": "Number of livestock", + "header.location": "Locations", + "header.nonag": "Non-agricultural activities", + "header.occupation": "Occupations", + "header.occupation.available_jobs": "Job openings", + "header.origin": "Origin", + "header.origin_by_products": "Origin by Products", + "header.overview": "Overview", + "header.partner": "Partners", + "header.product": "Products", + "header.product_potential": "Potential", + "header.product_space": "Product space", + "header.production_tons": "Production", + "header.region": "By department", + "header.rural": "Questions: Rural activities", + "header.subregion": "By city", + "header.subsubregion": "By municipality ", + "header.wage": "Total wages", + "header.yield_ratio": "Productivity", + "index.builder_cta": "Build graphs about coffee", + "index.builder_head": "Then dive into the graph builder", + "index.builder_subhead": "Create graphs and maps for your presentations", + "index.complexity_caption": "How good is it? Country growth predictions using economic complexity were more than six times as accurate as conventional metrics, such as the Global Competitiveness Index.", + "index.complexity_cta": "Read more about complexity concepts", + "index.complexity_figure.WEF_name": "Global Competitiveness Index", + "index.complexity_figure.complexity_name": "Complexity ranking", + "index.complexity_figure.head": "Growth explained (percent of 10-year variance)", + "index.complexity_head": "The complexity advantage", + "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Using the methods of measuring and visualizing economic complexity developed by Harvard University, Datlas helps to explore the production and export possibilities of every city and department in Colombia.", + "index.country_profile": "Read the profile for Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.farmandland_head": "Learn about Rural Activities", + "index.future_head": "Mapping the future", + "index.future_subhead": "Scatterplots and network diagrams help find the untapped markets best suited to a city or a department.", + "index.graphbuilder.id": "87", + "index.header_h1": "The Colombian Atlas of Economic Complexity", + "index.header_head": "You haven\u2019t seen Colombia like this before", + "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Colombia.", + "index.industry_head": "Learn about an industry", + "index.industry_q1": "Where in Colombia does the chemical industry employ the most people?", + "index.industry_q1.id": "461", + "index.industry_q2": "What occupations are demanded by the chemical industry?", + "index.industry_q2.id": "461", + "index.landuse_q1": "How much land do departments use for crops?", + "index.livestock_q1": "What kinds of livestock UPAs does Colombia have?", + "index.location_head": "Learn about a location", + "index.location_q1": "What industries in Bogot\u00e1 Met employ the most people?", + "index.location_q1.id": "41", + "index.location_q2": "What products have the most potential in Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "See all questions", + "index.present_head": "Charting the present", + "index.present_subhead": "Use our treemaps, charts and maps to break down your department, city or municipality's exports, formal employment or rural activities.", + "index.product_head": "Learn about a product", + "index.product_q1": "What places in Colombia export computers?", + "index.product_q1.id": "1143", + "index.product_q2": "What places in Colombia import computers?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Read the profile for Antioquia", + "index.profiles_head": "Start with our profiles", + "index.profiles_subhead": "Just the essentials, presented as a one-page summary", + "index.questions_head": "New 2016 update!
We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Research featured in", + "industry.show.avg_wages": "Average wages ({{year}})", + "industry.show.employment": "Employment ({{year}})", + "industry.show.employment_and_wages": "Formal employment and wages", + "industry.show.employment_growth": "Employment growth rate ({{yearRange}})", + "industry.show.industries": "Industries", + "industry.show.industry_composition": "Industry composition, {{year}}", + "industry.show.occupation": "Occupations", + "industry.show.occupation_demand": "Occupations most demanded by this industry, {{year}}", + "industry.show.value": "Value", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "department", + "location.model.msa": "city", + "location.model.municipality": "municipality", + "location.show.ag_farmsize": "Avg. size of UPAs (ha)", + "location.show.all_departments": "Compared to the other departments", + "location.show.all_regions": "Compared to the other locations", + "location.show.average_livestock_load": "Livestock Load ", + "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.eci": "Export complexity", + "location.show.employment": "Employment ({{lastYear}})", + "location.show.employment_and_wages": "Formal employment and wages", + "location.show.export_possiblities": "Export possiblities", + "location.show.export_possiblities.footer": "Some exports make not be viable due to local factors not considered by the technological similarity approach.", + "location.show.export_possiblities.intro": "We\u2019ve found that countries which export complex products grow faster than those which export simple products. Using the product space presented above, we\u2019ve highlighted \u00a0high potential products for {{name}}, ranked by which have the highest combination of opportunity and complexity.", + "location.show.exports": "Exports ({{year}})", + "location.show.exports_and_imports": "Exports and imports", + "location.show.gdp": "GDP", + "location.show.gdp_pc": "GDP per Capita", + "location.show.growth_annual": "Growth rate ({{yearRange}})", + "location.show.imports": "Imports ({{year}})", + "location.show.nonag_farmsize": "Avg. size of UPNAs (ha)", + "location.show.overview": "Overview", + "location.show.population": "Population", + "location.show.subregion.exports": "Export Composition by Municipality ({{year}})", + "location.show.subregion.imports": "Import Composition by Municipality ({{year}})", + "location.show.subregion.title": "Export and Import by Municipality", + "location.show.total_wages": "Total wages ({{lastYear}})", + "location.show.value": "Value", + "location.show.yield_index": "Agricultural Yield Index", + "pageheader.about": "About", + "pageheader.alternative_title": "Atlas of Economic Complexity", + "pageheader.brand_slogan": "You haven't seen Colombia like this before", + "pageheader.download": "About the Data", + "pageheader.graph_builder_link": "Graph Builder", + "pageheader.profile_link": "Profile", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Search", + "pageheader.search_placeholder": "Search for a location, industry, product or rural activity", + "pageheader.search_placeholder.industry": "Search for an industry", + "pageheader.search_placeholder.location": "Search for a location", + "pageheader.search_placeholder.product": "Search for a product", + "pageheader.search_placeholder.rural": "Search for rural activities", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explanation", + "rankings.intro.p": "Compare departments and cities across Colombia.", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Cities", + "rankings.section.departments": "Departments", + "rankings.table-title": "Rank", + "search.didnt_find": "Didn\u2019t find what you were looking for? Let us know: Datlascolombia@bancoldex.com", + "search.header": "results", + "search.intro": "Search for the location, product, industry or occupation that you\u2019re interested in", + "search.level.4digit": "HS (1992) four-digit", + "search.level.class": "ISIC four-digit", + "search.level.country": "Country", + "search.level.department": "Department", + "search.level.division": "ISIC two-digit", + "search.level.level1": "", + "search.level.level2": "", + "search.level.level3": "", + "search.level.msa": "City", + "search.level.municipality": "Municipality", + "search.level.parent.4digit": "HS (1992) two-digit", + "search.level.parent.class": "ISIC two-digit", + "search.level.parent.country": "Region", + "search.placeholder": "Type here to search", + "search.results_agproducts": "Agricultural Products", + "search.results_industries": "Industries", + "search.results_landuses": "Land Uses", + "search.results_livestock": "Livestock", + "search.results_locations": "Locations", + "search.results_nonag": "Non-agricultural activities", + "search.results_products": "Products", + "search.results_rural": "Rural activities", + "table.export_data": "Export Data", + "thousands_delimiter": "," +}; diff --git a/app/locales/en-col/translationsold.js b/app/locales/en-col/translationsold.js new file mode 100644 index 00000000..7c24733a --- /dev/null +++ b/app/locales/en-col/translationsold.js @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "B", + "abbr_million": "M", + "abbr_thousand": "K", + "abbr_trillion": "T", + "about.downloads.explanation.p1": "Download the document explaining how each of the complexity variables of Datlas is computed.", + "about.downloads.explanation.title": "Method of calculation of complexity variables", + "about.downloads.locations": "Lists of departments, cities (including metropolitan areas) and municipalities", + "about.glossary": "

See page \"About the data\" for further information about sources, computational methods of the complexity variables and downloadable databases.

Cities

A city is a metropolitan area or a municipality with more than 50,000 inhabitants, 75% of whom reside in the main urban location (cabecera). There are 62 cities (19 metropolitan areas comprising 115 municipalities, plus 43 other cities of just one municipality). The concept of city is relevant because Datlas presents complexity indicators by department and city, but not by municipality.

Complexity

Complexity is the amount and sophistication of knowhow required to produce something. The concept of complexity is central to Datlas because productivity and growth everywhere depend on firms to successfully produce and export goods and services that require skills and knowledge that are diverse and unique. Complexity can be measured by location, by industry or by export product.

Complexity Outlook

Measures the potential of a location to reach higher complexity levels. The measure accounts for the level of complexity of the industries (or exports) along with the distance of how close the productive capabilities that these industries require are to its current industries (or exports). More specifically, it measures the likelihood of different industries (or exports) appearing and the value of their added complexity. Higher outlook values indicate \u201ccloser distance\u201d to more, and more complex, industries (or exports).

Industry complexity outlook values are computed for departments and cities, not for the rest of municipalities. Export complexity outlook values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

DANE

DANE is the National Statistical Office. It is the source of all data on GDP and population used by Datlas.

DIAN

DIAN is the National Tax and Customs Authority. It is the source of all data on exports and imports by department and municipality in Datlas.

Distance

A measure of a location\u2019s ability to enter a specific industry or export, as determined by its current productive capabilities. Also known as a capability distance, the measure accounts for the similarity between the capabilities required by an industry or export and the capabilities already present in a location\u2019s industries or exports. Where a new industry or export requires many of the same capabilities already present in a location\u2019s industries or exports, the product is considered \u201ccloser\u201d or of a shorter \u201cdistance\u201d to acquire the missing capabilities to produce it. New industries or exports of a further distance require larger sets of productive capabilities that do not exist in the location and are therefore riskier ventures or less likely to be sustained. Thus, distance reflects the proportion of the productive knowledge necessary for an industry or export that a location does not have. This is measured by the proximity between industries or exports, or the probability that two industries or exports will both be present in a location, as embodied by the industry space and product space, respectively.

Industry distance values are computed for departments and cities, but not for the rest of municipalities. Export distance values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Diversity

A measure of how many different types of products a place is able to produce. The production of a good requires a specific set of know-how; therefore, a country\u2019s total diversity is another way of expressing the amount of collective know-how that a place has.

Economic Complexity Index (ECI)

A measure of the sophistication of the productive capabilities of a location based on the diversity and ubiquity of its industries or exports. A location with high complexity produces or exports goods and services that few other locations produce. Highly complex locations tend to be more productive and generate higher wages and incomes. Countries with export baskets more sophisticated than what is expected for their income level (such as China) tend to grow faster than those where the opposite is true (such as Greece).

Industry ECI values are computed for departments and cities, but not for the rest of municipalities. Export ECI values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

Formal employment and wages, and formal employment rate

Formal employment is defined as employment covered by the health social security system and/or the pension system. The self-employed are not included. Formal wages are those reported by firms to that aim. Formal employment reported is the number of formal employees in an average month. Formality rate is defined as formal employment divided by population older than 15. Employment and wage data are taken from PILA. Population data comes from DANE.

Industry Complexity Index (ICI)

A measure of the amount of productive capabilities that an industry requires to operate. The ICI and the Product Complexity Index (PCI) are closely related, but are measured through independent datasets and classification systems as the PCI is computed only for internationally tradable goods, while the ICI is calculated for all industries that generate formal employment, including the public sector. Industries are complex when they require a sophisticated level of productive knowledge, such as many financial services and pharmaceutical industries, with many individuals with distinct specialized knowledge interacting in a large organization. Complexity of the industry is measured by calculating the average diversity of locations that hold the industry and the average ubiquity of the industries that those locations hold. The formal employment data required for these calculations comes from the PILA dataset held by the Ministry of Health.

Industry classification system

Colombia\u2019s industry classification system is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). Datlas shows industry information at two- and four-digit level. All industry data come from PILA. Following national accounting conventions, workers hired by temporary employment firms are classified in the labor recruitment industry (7491), not in the industry of the firm where they physically work.

Industry technological similarity space (or industry space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between industries. Each dot represents an industry and each link between a pair of industries indicates that they require similar productive capabilities to operate. Colored dots are industries with revealed comparative advantage larger than one. When an industry is selected, the map shows the industries that require similar productive capabilities. An industry with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing industries share to untapped, complex industries determines the complexity outlook of the location. The Colombian industry similarity space is based on formal employment data by industry and municipality from the PILA dataset of the Ministry of Health.

Metropolitan area

A metropolitan area is a combination of two or more municipalities that are connected through relatively large commuting flows (irrespective of their size or contiguity). A municipality must send at least 10% of its workers as daily commuters to the rest of the metropolitan area municipalities to be included.

Based on this definition there are 19 metropolitan areas in Colombia, which comprise 115 municipalities. The resulting metro areas, which are distinct from official measures, are computed with the methodology of G. Duranton (2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Occupations

Occupations are classified according to the Occupational Information Network Numerical Index (ONET). All data on occupations (wages offered by occupation, occupational structure by industry, and education level required by occupation) come from job vacancy announcements placed by firms in public and private Internet job sites during 2014. The data were processed by Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).

Opportunity gain

Measures how much a location could benefit by developing a particular industry (or export). Also known also as \u201cstrategic value,\u201d the measure accounts for the distances to all other industries (or exports) that a location does not currently produce with revealed comparative advantage larger than one and their respective complexities. Opportunity gain quantifies how a new industry (or export) can open up links to more, and more complex, products. Thus, the measure calculates the value of an industry (or export) based on the paths it opens to industrial expansion into more complex sectors.

Industry opportunity gain values are computed for departments and cities, but not for the rest of municipalities. Export opportunity gain values are computed for departments and cities with at least 50 dollars of exports per capita (below this threshold export baskets are unstable and/or lack representativeness).

PILA

PILA is the Integrated Report of Social Security Contributions, managed by the Ministry of Health. It is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry.

Product Complexity Index (PCI)

Measures the amount of productive capabilities required to manufacture a product. Complex exports, which include many chemical and machinery products, require a sophisticated level, and diverse base, of productive knowledge, with many individuals with distinct specialized knowledge interacting in a large organization. This contrasts with low complexity exports, like coffee, which require much less basic productive knowledge that can be found in a family-run business. UN Comtrade data are used to compute the complexity of export products.

Product technological similarity space (or product space)

A visualization that depicts how similar/dissimilar the productive knowledge requirements are between export products. Each dot represents a product and each link between a pair of products indicates that the two products require similar capabilities in their production. Colored dots are exports with revealed comparative advantage larger than one. When a product is selected, the map shows the products that require similar productive capabilities. A product with more links offers greater potential for diversification across shared capabilities. Thus the number of links that existing products share to complex products that a location does not currently produce determines the complexity outlook of its exports.

The shape of the space is based on international trade data for 192 countries over 50 years. See The International Atlas of Economic Complexity.

Revealed Comparative Advantage (RCA)

Measures the relative size of an industry or an export product in a location. RCA is not a measure of productive efficiency or competitiveness, but just a \u201clocation quotient\u201d, as is often referred to. RCA is computed as the ratio between an industry\u2019s share of total formal employment in a location and the share of that industry\u2019s total formal employment in Colombia as a whole. For instance, if the chemical industry generates10% of a city\u2019s employment, while it generates only 1% of total employment in Colombia, the RCA of the industry in the city is 10. For exports, RCA is the ratio between the share of the export in the export basket of the location and its share in total world trade. If this ratio is larger than 1, the location is said to have revealed comparative advantage in the industry or export. For instance, if a department\u2019s coffee exports are 30% of its exports but coffee accounts for just 0.3% of world trade, the department\u2019s RCA in coffee is 100.

Ubiquity

A measure of the number of places that are able to make a product.

", + "about.glossary_name": "Glossary", + "about.project_description.cid.header": "CID and the Growth Lab", + "about.project_description.cid.p1": "This project was developed by the Center for International Development at Harvard University, under the leadership of Professor Ricardo Hausmann.", + "about.project_description.cid.p2": "The Center for International Development (CID) at Harvard University works to advance the understanding of development challenges and offer viable, inclusive solutions to problems of global poverty. The Growth Lab is one of CID\u2019s core research programs.", + "about.project_description.contact.header": "Contact information", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex is the entrepreneurial development bank of Colombia. It is committed to developing financial and non-financial instruments geared to enhance the competitiveness, productivity, growth and internationalization of Colombian enterprises. Leveraging on its unique relational equity and market position, Banc\u00f3ldex manages financial assets, develops access solutions to financing and deploys innovative capital solutions, to foster and accelerate company growth. Besides offering traditional loans, Banc\u00f3ldex has been appointed to implement several development program such as iNNpulsa Colombia, iNNpulsa Mipyme, Banca de las Oportunidades, and the Productive Transformation Program, all of them, in an effort to consolidate an integrated offer to promote Colombian business environment and overall competitiveness. Datlas elaborates on the work that Banc\u00f3ldex has been undertaking through its Productive Transformation Program and INNpulsa Colombia initiatives.", + "about.project_description.founder2.header": "Mario Santo Domingo Foundation", + "about.project_description.founder2.p": "Created in 1953, the Mario Santo Domingo Foundation (FMSD) is a non-profit organization dedicated to implementing community development programs in Colombia. FMSD decided to concentrate its main efforts in the construction of affordable housing within a Community Development Model, named Integral Development of Sustainable Communities (DINCS in its Spanish initials) and designed by the FMSD as a response to the large housing deficit in Colombia. Through this program, the FMSD delivers social support for families, and social infrastructure and urban development for the less privileged. FMSD also supports entrepreneurs in the Northern region of Colombia and in Bogot\u00e1 through its Microfinance Unit which provides training and financial services such as microcredit. More than 130,000 entrepreneurs have received loans from the Foundation since its launch in 1984. The FMSD works also to identify alliances and synergies between the public and private sectors in critical social development areas such as early childhood, environmental sustainability, disaster attention, education and health.", + "about.project_description.founders.header": "Founding Partners", + "about.project_description.founders.p": "This project is funded by Banc\u00f3ldex and Fundaci\u00f3n Mario Santo Domingo ", + "about.project_description.github": "See our code", + "about.project_description.intro.p1": "In Colombia, income gaps between regions are huge and have been growing: new job opportunities are increasingly concentrated in the metropolitan areas of Bogot\u00e1, Medell\u00edn and Cali, as well as a few places where oil and other minerals are extracted. The average income of residents of Bogot\u00e1 is four times that of Colombians living in the 12 poorest departments", + "about.project_description.intro.p2": "Datlas is a diagnostic tool that firms, investors and policymakers can use to improve the productivity of departments, cities and municipalities. It maps the geographical distribution of Colombia\u2019s productive activities and employment by department, metropolitan area and municipality, and identifies exports and industries of potential to increase economic complexity and accelerate growth.", + "about.project_description.intro.p3": "Economic complexity is a measure of the amount of productive capabilities, or knowhow, that a country or a city has. Products are vehicles for knowledge. To make a shirt, one must design it, produce the fabric, cut it, sew it, pack it, market it and distribute it. For a country to produce shirts, it needs people who have expertise in each of these areas. Each of these tasks involves many more capabilities than any one person can master. Only by combining know-how from different people can any one product be made. The road to economic development involves increasing what a society knows how to do. Countries with more productive capabilities can make a greater diversity of products. Economic growth occurs when countries develop the capabilities and productive knowledge to produce more, and more complex, products.", + "about.project_description.intro.p4": "This conceptual approach, which has been applied at the international level in The Atlas of Economic Complexity, is now used in this online tool to investigate export and industry possibilities at the sub-national level in Colombia.", + "about.project_description.letter.header": "Sign up for our Newsletter", + "about.project_description.letter.p": "Sign up for CID\u2019s Research Newsletter to keep up-to-date with related breakthrough research and practical tools, including updates to this site http://www.hks.harvard.edu/centers/cid/news-events/subscribe ", + "about.project_description.team.header": "Academic and Technical Team", + "about.project_description.team.p": "Academic team at Harvard\u2019s CID: Ricardo Hausmann (director), Eduardo Lora (coordinator), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery and Juan T\u00e9llez. Programming and visualization team at Harvard\u2019s CID: Greg Shapiro (coordinator), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot, and Gus Wezerek. Statistical advisor in Colombia: Marcela Eslava (Universidad de los Andes). Compilation and processing of job vacancies data in Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) and Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "About", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.dotplot-column": "Departments Across Colombia", + "country.show.eci": "0.037", + "country.show.economic_structure": "Economic Structure", + "country.show.economic_structure.copy.p1": "With a population of 48.1 million (as of May 2015), Colombia is the third largest country in Latin America. Its total GDP in 2014 was Col$756.1 trillion, or US$377.9 billion at the average exchange rate of 2014 (1 US dollar = 2000.6 Colombian pesos). In 2014, income per capita reached Col$15,864,953 or US$7,930. Yearly economic growth since 2008 has averaged 4.3% (or 3.1% in per capita terms).", + "country.show.economic_structure.copy.p2": "Business and financial services contribute 18.8% of GDP, making it the largest industry, followed by governmental, communal and personal services (16.5%) and manufacturing activities (11.2%). Bogot\u00e1 D.C., Antioquia and Valle del Cauca represent nearly half of economic activity, contributing 24.7, 13.1 and 9.2% to total GDP, respectively. However, two oil-producing departments \u2013 Casanare and Meta \u2013 boast the highest GDP per capita. The following graphs provide more details.", + "country.show.employment_wage_occupation": "Formal Employment, Occupations and Wages", + "country.show.employment_wage_occupation.copy.p1": "In 2014, approximately 21.6 million Colombians were occupied in either a formal or an informal job, increasing slightly over 2013, at 21.1 million. The registries of the PILA, which cover the universe of workers who make contributions to the social security system, indicate that 13.3 million workers were occupied for some period in a formal job in 2013. Taking into account the number of months occupied, the effective number of year-round workers in the formal sector in 2013 was 6.7 million. Bogot\u00e1 DC, Antioquia and Valle del Cauca generate, respectively 32.7, 16.7, and 10.7% of (effective) formal employment.", + "country.show.employment_wage_occupation.copy.p2": "The following graphs present more detailed information on the patterns of formal employment and wages paid based on PILA. Also included is data on vacancies announced and wages offered by occupation, computed from job announcements placed by firms on internet sites in 2014.", + "country.show.export_complexity_possibilities": "Export Complexity and Possibilities", + "country.show.export_complexity_possibilities.copy.p1": "The concept of export complexity is similar to that of industry complexity introduced above. It has been found that countries that export products that are relatively complex for their level of economic development tend to grow faster than countries that export relatively simple products. Based on the complexity of its export basket in 2013, Colombia ranks 53rd among 124 countries and is predicted to grow at an annual rate of 3.3% in the period 2013-2023 based on its economic complexity.", + "country.show.export_complexity_possibilities.copy.p2": "The \u2018Product Technological Similarity Space\u2019 (or Product Space) shown below is a graphical network representation of technological similarities across all export products, and is based on international export patterns. Each dot or node represents a product; nodes connected by lines require similar capabilities. More connected products are clustered towards the middle of the network, implying that the capabilities they use can be deployed in the production of many other products.", + "country.show.export_complexity_possibilities.copy.p3": "The highlighted nodes represent the products that Colombia exports in relatively large amounts (more precisely, with revealed comparative advantage higher than one, see the Glossary). Colors represent product groupings (which match the colors used in the industry technological space shown above). The figure further below and the accompanying table show what export products offer the best possibilities for Colombia, given the capabilities the country already has and how \u2018distant\u2019 are those capabilities to the ones needed for each product.", + "country.show.exports": "Exports", + "country.show.exports.copy.p1": "Colombia exported US$54.8 billion in 2014, down from $58.8 billion in 2013 and $60.1 billion in 2012. Its main export partners are the United States, Venezuela, Ecuador and Peru. In 2014, mining products (of which oil, coal and nickel are the largest items) comprised 59.3% of total merchandise exports, manufactured goods contributed 35.6%, and agricultural products totaled 4.6% of exports. The following graphs provide further details.", + "country.show.exports_composition_by_department": "Export Composition by Department ({{year}})", + "country.show.exports_composition_by_products": "Export Composition by Product ({{year}})", + "country.show.gdp": "Col $756,152 T", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Industry Complexity", + "country.show.industry_complex.copy.p1": "Industry complexity is a measure of the range of capabilities, skills or know-how required by an industry. Industries such as chemicals and machinery are said to be highly complex, because they require a sophisticated level of productive knowledge likely to be present only in large organizations where a number of highly specialized individuals interact. Conversely, industries such as retail trade or restaurants require only a basic level of know-how which may be found at a family-run business. More complex industries contribute to raising productivity and income per- capita. Departments and cities with more complex industries have a more diversified industrial base and tend to create more formal employment.", + "country.show.industry_complex.copy.p2": "The 'IndustryTechnological Similarity Space\u2019 (or Industry Space) shown below is a graphical representation of the similarity between the capabilities and know-how required by pairs of industries. Each dot or node represents an industry; nodes connected by lines require similar capabilities. More connected industries use capabilities that can be deployed in many other industries. Colors represent industry groupings.", + "country.show.industry_space": "Industry Space", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Total advertised vacancies (2014)", + "country.show.population": "48.1 million", + "country.show.product_space": "Product Space", + "country.show.total": "Total", + "ctas.csv": "CSV", + "ctas.download": "Download this data", + "ctas.embed": "Embed", + "ctas.excel": "Excel", + "ctas.export": "Export", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Share", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ".", + "downloads.cta_download": "Download", + "downloads.cta_na": "Not available", + "downloads.head": "About the Data", + "downloads.industry_copy": "PILA (the Integrated Report of Social Security Contributions), managed by the Ministry of Health) is the main source of industry data. It contains information on formal employment, wages and number of firms by municipality and industry. Colombia\u2019s industry classification is a modified version of the International Standard Industrial Classification of All Economic Activities (ISIC). The list of industries can be found in the downloadable databases for industries. The list of industries in the ISIC which are not included in the industry space (for reasons explained in \"Calculation Methods\") can be downloaded here.", + "downloads.industry_head": "Industry data (PILA)", + "downloads.industry_row_1": "Employment, wages, number of firms and complexity indicators ({{yearRange}})", + "downloads.list_of_cities.header": "Lists of departments, cities and municipalities", + "downloads.map.cell": "Map boundary and geo data is from GeoFabrik.de, based on OpenStreetMap data", + "downloads.map.header": "Map Data", + "downloads.occupations_copy": "All data on occupations (wages offered by occupation and industry, and occupational structure by industry) come from job vacancy announcements placed by firms in public and private Internet job sites. Occupations are classified according to the Occupational Information Network Numerical Index (ONET). The data were processed by Jeisson Arley C\u00e1rdenas Rubio, researcher of Universidad del Rosario, Bogot\u00e1, and Jaime Mauricio Monta\u00f1a Doncel, Masters student at the Paris School of Economics.", + "downloads.occupations_head": "Occupations data", + "downloads.occupations_row_1": "Job vacancies and wages offered (2014)", + "downloads.other_copy": "DANE (the National Statistical Office) is the source of all data on GDP and population.", + "downloads.other_head": "Other data (DANE)", + "downloads.other_row_1": "GDP and demographic variables", + "downloads.thead_departments": "Departments", + "downloads.thead_met": "Cities", + "downloads.thead_muni": "Municipalities", + "downloads.thead_national": "National", + "downloads.trade_copy": "The source of all data on exports and imports by department and municipality is DIAN\u2019s Customs Data (DIAN is the National Tax and Customs Authority). Colombian Customs uses the product classification NANDINA, which matches the Harmonized System (HS) classification at the 6-digit level. We then standardize that to HS 1992 in order to fix any version inconsistencies across the years in order to be able to view the data over time. The list of products can be found in the downloadable databases for exports and imports.

The origin of an export is established in two stages. First, the department of origin is defined as the last place of processing, assembly or packaging, according with DIAN. Then, export values are distributed among municipalities according with the composition of employment of the exporting firm based on PILA (for firms without this information the value is assigned to the capital of department). In the case of petroleum oil (2709) and gas (2711), total export values were distributed by origin according to production by municipality (sources: Hydrocarbons National Agency and Colombian Petroleum Association), and in the case of oil refined products (2710), according to value added by municipality (industries 2231, 2322 y 2320 SIIC revision 3, Annual Manufacturing Survey, DANE).

\u00a0

Export totals by product may not correspond to official data because the following are excluded: (a) exports lacking information on the industry of the exporter and/or the department or municipality of origin, and (b) exports for which DIAN reports free zones as the place of destination; while the following are included: (c) exports from free zones, which DIAN does not include in those export totals.

In a similar fashion, import totals by product may not correspond to official data because the following are excluded: (a) imports lacking information on the department or municipality of destination, and (b) imports for which DIAN reports free zones as the place of origin; while the following are included: (c) imports done by free zones, which DIAN does not include in those import totals.

A file that describes the correspondence between the HS version used by DIAN and HS 1992 can be found here.

Included here is a file with the list of products in the Harmonized System that are not represented in the product space (for reasons explained in \"Calculation Methods\").", + "downloads.trade_head": "Trade data (DIAN)", + "downloads.trade_row_1": "Exports, imports and export complexity indicators ({{yearRange}})", + "downloads.trade_row_2": "Exports and imports with country of destination and origin ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Products", + "general.geo": "Geographic map", + "general.glossary": "Glossary", + "general.industries": "Industries", + "general.industry": "industry", + "general.location": "location", + "general.locations": "Locations", + "general.multiples": "Area charts", + "general.occupation": "occupation", + "general.occupations": "Occupations", + "general.product": "product", + "general.scatter": "Scatterplot", + "general.similarity": "Industry Space", + "general.total": "Total", + "general.treemap": "Treemap", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glossary", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "Land Harvested (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "Land Sown (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.industry.cities.employment": "Total employment", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Total employment", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Total employment", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Average monthly wages, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "Total wages, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total advertised vacancies", + "graph_builder.builder_mod_header.landUse.departments.area": "Total Area", + "graph_builder.builder_mod_header.landUse.municipalities.area": "Total Area ", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "Land harvested (hectares)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "Land sown (hectares)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Production (tons)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "Number of farms", + "graph_builder.builder_mod_header.location.industries.employment": "Total employment", + "graph_builder.builder_mod_header.location.industries.scatter": "Complexity,distance and opportunity gain of potential industries", + "graph_builder.builder_mod_header.location.industries.similarity": "Industries with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.location.industries.wages": "Total wages", + "graph_builder.builder_mod_header.location.landUses.area": "Total Area ", + "graph_builder.builder_mod_header.location.livestock.num_farms": "Number of livestock farms", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "Number of livestock", + "graph_builder.builder_mod_header.location.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.location.partners.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.export_value": "Total exports", + "graph_builder.builder_mod_header.location.products.import_value": "Total imports", + "graph_builder.builder_mod_header.location.products.scatter": "Complexity, distance and opportunity gain of potential export products", + "graph_builder.builder_mod_header.location.products.similarity": "Export products with revealed comparative advantage >1 (colored) and <1 (grey)", + "graph_builder.builder_mod_header.product.cities.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.cities.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.departments.export_value": "Total Exports", + "graph_builder.builder_mod_header.product.departments.import_value": "Total Imports", + "graph_builder.builder_mod_header.product.partners.export_value": "Total exports", + "graph_builder.builder_mod_header.product.partners.import_value": "Total imports", + "graph_builder.builder_nav.header": "More graphs for this {{entity}}", + "graph_builder.builder_nav.intro": "Select a question to see the corresponding graph. If the question has missing parameters ({{icon}}) , you\u2019ll fill those in when you click.", + "graph_builder.builder_questions.city": "Questions: Cities", + "graph_builder.builder_questions.department": "Questions: Departments", + "graph_builder.builder_questions.employment": "Questions: Employment", + "graph_builder.builder_questions.export": "Questions: Exports", + "graph_builder.builder_questions.import": "Questions: Imports", + "graph_builder.builder_questions.industry": "Questions: Industries", + "graph_builder.builder_questions.landUse": "Questions: Land Use ", + "graph_builder.builder_questions.location": "Questions: Locations", + "graph_builder.builder_questions.occupation": "Questions: Occupations", + "graph_builder.builder_questions.partner": "Questions: Partners", + "graph_builder.builder_questions.product": "Questions: Products", + "graph_builder.builder_questions.wage": "Questions: Total Wages", + "graph_builder.change_graph.geo_description": "Map the data", + "graph_builder.change_graph.label": "Change graph", + "graph_builder.change_graph.multiples_description": "Compare growth over time", + "graph_builder.change_graph.scatter_description": "Plot complexity and distance", + "graph_builder.change_graph.similarity_description": "Show revealed comparative advantages", + "graph_builder.change_graph.treemap_description": "See composition at different levels", + "graph_builder.change_graph.unavailable": "Graph is unavailable for this question", + "graph_builder.download.agproduct": "Agricultural Product", + "graph_builder.download.area": "Area", + "graph_builder.download.average_wages": "Avg. monthly wage, Col$", + "graph_builder.download.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.download.code": "Code", + "graph_builder.download.cog": "Opportunity gain", + "graph_builder.download.complexity": "Complexity", + "graph_builder.download.distance": "Distance", + "graph_builder.download.eci": "Export complexity", + "graph_builder.download.employment": "Employment", + "graph_builder.download.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.download.export": "Export", + "graph_builder.download.export_num_plants": "Firm number", + "graph_builder.download.export_rca": "Revealed comparative advantage", + "graph_builder.download.export_value": "Exports, USD", + "graph_builder.download.farmtype": "Farm Type", + "graph_builder.download.gdp_pc_real": "GDP per Capita, Col $", + "graph_builder.download.gdp_real": "GDP, Col $", + "graph_builder.download.import_value": "Imports, USD", + "graph_builder.download.industry": "Industry", + "graph_builder.download.industry_eci": "Industry complexity", + "graph_builder.download.land_harvested": "Land harvested (ha)", + "graph_builder.download.land_sown": "Land sown (ha)", + "graph_builder.download.land_use": "Land Use", + "graph_builder.download.less_than_5": "Less than 5", + "graph_builder.download.livestock": "Livestock", + "graph_builder.download.location": "Location", + "graph_builder.download.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.download.name": "Name", + "graph_builder.download.num_establishments": "Firm number", + "graph_builder.download.num_farms": "Number of farms", + "graph_builder.download.num_livestock": "Number of livestock", + "graph_builder.download.num_vacancies": "Vacancies", + "graph_builder.download.occupation": "Occupation", + "graph_builder.download.parent": "Parent", + "graph_builder.download.population": "Population", + "graph_builder.download.production_tons": "Production (tons)", + "graph_builder.download.rca": "Revealed comparative advantage", + "graph_builder.download.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.download.wages": "Total wages, Col$", + "graph_builder.download.year": "Year", + "graph_builder.download.yield_index": "Yield Index", + "graph_builder.download.yield_ratio": "Yield (tons/ha)", + "graph_builder.explanation": "Explanation", + "graph_builder.explanation.agproduct.departments.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Shows the composition of locations that harvest this agricultural product, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Hide", + "graph_builder.explanation.industry.cities.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.cities.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.departments.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Shows the composition of vacancies announced in Internet sites and wages offered.", + "graph_builder.explanation.landUse.departments.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.landUse.municipalities.area": "Shows the composition of locations that use land in this specific way, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.agproducts.land_harvested": "Shows the composition of agricultural products of this location, by area of land harvested. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Shows the composition of agricultural products of this location, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Shows the composition of agricultural products of this location, by weight. Source: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.farmtypes.num_farms": "Shows the composition of farms in this location, by type of farm. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.industries.employment": "Shows the industry composition of formal empoyment in the department. Source: PILA.", + "graph_builder.explanation.location.industries.scatter": "Dots represent industries. Upon selecting a dot, a display shows the industry name and its revealed comparative advantage in the location. Colors represent industry groups (see the table). The vertical axis is the Industry Complexity Index and the horizontal axis is the Distance from the existing industries, where shorter distances mean that the location has more of the knowhow needed to develop the industry. The size of the dots is proportional to the Opportunity Gain of the industry for the department, namely the potential that the industry offers for the department to acquire new capabilities that may help to develop other industries. The more interesting industries are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.industries.similarity": "The industry technological similarity space (or industry space) shows how similar is the knowhow required by any pair of industries. Each dot represents an industry. Dots connected with a line represent industries that require similar knowhow. Dots colored are industries with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an industry group (see table). Upon selecting a dot, a display shows the industry name, its RCA and its links to other industries. Source: calculations by CID based on PILA data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.location.industries.wages": "Shows the industry composition of total wages paid in the department or city. Source: PILA.", + "graph_builder.explanation.location.landUses.area": "Shows the composition of land uses in this location, by area. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_farms": "Shows the composition of livestock types of this location, by number of farms. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.livestock.num_livestock": "Shows the composition of livestock types of this location, by number of livestock. Source: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE).", + "graph_builder.explanation.location.partners.export_value": "Shows the destination country composition of exports of this place, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Shows the countries from which this location imports products, nested by world regions. Source: DIAN.", + "graph_builder.explanation.location.products.export_value": "Shows the product composition of exports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.import_value": "Shows the product composition of imports of the department or city. Colors represent product groups (see table). Source: DIAN.", + "graph_builder.explanation.location.products.scatter": "Dots represent export products. Upon selecting a dot, a display shows the product name and its revealed comparative advantage in the department or city. Colors represent product groups (see the table). The vertical axis is the Product Complexity Index and the horizontal axis is the Distance from the existing exports, where shorter distances mean that the location has more of the knowhow needed to export the product. The dashed line is the average Index of Economic Complexity of the place. The size of the dots is proportional to the Opportunity Gain of the export for the department or city, namely the potential that exporting the product offers for the department or city to acquire new capabilities that may help to export other products. The more interesting export products are the ones located at the top left, especially if the dots are large. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts). ", + "graph_builder.explanation.location.products.similarity": "The product technological similarity space (or product space) shows how similar is the knowhow required by any pair of export products. Each dot represents an export product. Dots connected with a line represent products that require similar knowhow. Dots colored are products with revealed comparative advantage (RCA) higher than one in the department or city. Each color corresponds to an export group (see table). Upon selecting a dot, a display shows the product name, its RCA and its links to other products. Source: calculations by CID based on DIAN data. (The glossary offers more detailed explanations of the concepts).", + "graph_builder.explanation.product.cities.export_value": "Shows the composition by city of the product exports. Source: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Shows the composition by city of the product imports. Source: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Shows the composition by department of the product exports. Source: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Shows the composition by department of the product imports. Source: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Shows where Colombia exports this product to, nested by world regions. Source: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Shows where Colombia imports this product from, nested by world regions. Source: DIAN.", + "graph_builder.explanation.show": "Show", + "graph_builder.multiples.show_all": "Show All", + "graph_builder.page_title.agproduct.departments.land_harvested": "What departments harvest this agricultural product?", + "graph_builder.page_title.agproduct.departments.land_sown": "What departments sow this agricultural product?", + "graph_builder.page_title.agproduct.departments.production_tons": "What departments produce this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "What municipalities harvest this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "What municipalities sow this agricultural product?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "What municipalities produce this agricultural product?", + "graph_builder.page_title.industry.cities.employment": "What cities in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.cities.wages": "What cities in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.departments.employment": "What departments in Colombia does this industry employ the most people?", + "graph_builder.page_title.industry.departments.wages": "What departments in Colombia does this industry pay the highest total wages?", + "graph_builder.page_title.industry.occupations.num_vacancies": "What occupations does this industry employ?", + "graph_builder.page_title.landUse.departments.area": "Which departments have this type of land use?", + "graph_builder.page_title.landUse.municipalities.area": "Which municipalities have this type of land use?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "What agricultural products are harvested in Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "What agricultural products are harvested in this department?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "What agricultural products are harvested in this municipality?", + "graph_builder.page_title.location.agproducts.land_sown.country": "What agricultural products are planted in Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "What agricultural products are planted in this department?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "What agricultural products are planted in this municipality?", + "graph_builder.page_title.location.agproducts.production_tons.country": "What agricultural products are produced in Colombia?", + "graph_builder.page_title.location.agproducts.production_tons.department": "What agricultural products are produced in this department?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "What agricultural products are produced in this municipality?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "Where does this department export oil to?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "Where does this department import cars from?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "What types of farms are there in Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "What types of farms are there in this department?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "What types of farms are there in this municipality?", + "graph_builder.page_title.location.industries.employment.country": "What industries in Colombia employ the most people?", + "graph_builder.page_title.location.industries.employment.department": "What industries in this department employ the most people?", + "graph_builder.page_title.location.industries.employment.msa": "What industries in this city employ the most people?", + "graph_builder.page_title.location.industries.employment.municipality": "What industries in this municipality employ the most people?", + "graph_builder.page_title.location.industries.scatter.country": "What relatively complex industries have the most possibilities for Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "What relatively complex industries have the most possibilities for this department?", + "graph_builder.page_title.location.industries.scatter.msa": "What relatively complex industries have the most possibilities for this city?", + "graph_builder.page_title.location.industries.scatter.municipality": "What relatively complex industries have the most possibilities for this municipality?", + "graph_builder.page_title.location.industries.similarity.country": "Where is Colombia in the industry space?", + "graph_builder.page_title.location.industries.similarity.department": "Where is this department in the industry space?", + "graph_builder.page_title.location.industries.similarity.msa": "Where is this city in the industry space?", + "graph_builder.page_title.location.industries.similarity.municipality": "Where is this municipality in the industry space?", + "graph_builder.page_title.location.industries.wages.country": "What industries in Colombia are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.department": "What industries in this department are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.msa": "What industries in this city are the largest by total wages?", + "graph_builder.page_title.location.industries.wages.municipality": "What industries in this municipality are the largest by total wages?", + "graph_builder.page_title.location.landUses.area.country": "Which types of land uses are in Colombia?", + "graph_builder.page_title.location.landUses.area.department": "Which types of land uses are in this department?", + "graph_builder.page_title.location.landUses.area.municipality": "Which types of land uses are in this municipality?", + "graph_builder.page_title.location.livestock.num_farms.country": "What kinds of livestock farms does Colombia have?", + "graph_builder.page_title.location.livestock.num_farms.department": "What kinds of livestock farms does this department have?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "What kinds of livestock farms does this municipality have?", + "graph_builder.page_title.location.livestock.num_livestock.country": "What kinds of livestock does Colombia have?", + "graph_builder.page_title.location.livestock.num_livestock.department": "What kinds of livestock does this department have?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "What kinds of livestock does this municipality have?", + "graph_builder.page_title.location.partners.export_value.country": "What countries does Colombia export to?", + "graph_builder.page_title.location.partners.export_value.department": "What countries does this department export to?", + "graph_builder.page_title.location.partners.export_value.msa": "What countries does this city export to?", + "graph_builder.page_title.location.partners.export_value.municipality": "What countries does this municipality export to?", + "graph_builder.page_title.location.partners.import_value.country": "What countries does Colombia import from?", + "graph_builder.page_title.location.partners.import_value.department": "What countries does this department import from?", + "graph_builder.page_title.location.partners.import_value.msa": "What countries does this city import from?", + "graph_builder.page_title.location.partners.import_value.municipality": "What countries does this municipality import from?", + "graph_builder.page_title.location.products.export_value.country": "What products does Colombia export?", + "graph_builder.page_title.location.products.export_value.department": "What products does this department export?", + "graph_builder.page_title.location.products.export_value.msa": "What products does this city export?", + "graph_builder.page_title.location.products.export_value.municipality": "What products does this municipality export?", + "graph_builder.page_title.location.products.import_value.country": "What products does Colombia import?", + "graph_builder.page_title.location.products.import_value.department": "What products does this department import?", + "graph_builder.page_title.location.products.import_value.msa": "What products does this city import?", + "graph_builder.page_title.location.products.import_value.municipality": "What products does this municipality import?", + "graph_builder.page_title.location.products.scatter.country": "What products have the most potential for Colombia?", + "graph_builder.page_title.location.products.scatter.department": "What products have the most potential for this department?", + "graph_builder.page_title.location.products.scatter.msa": "What products have the most potential for this city?", + "graph_builder.page_title.location.products.scatter.municipality": "What products have the most potential for this municipality?", + "graph_builder.page_title.location.products.similarity.country": "Where is Colombia in the product space?", + "graph_builder.page_title.location.products.similarity.department": "Where is this department in the product space?", + "graph_builder.page_title.location.products.similarity.msa": "Where is this city in the product space?", + "graph_builder.page_title.location.products.similarity.municipality": "Where is this municipality in the product space?", + "graph_builder.page_title.product.cities.export_value": "What cities in Colombia export this product?", + "graph_builder.page_title.product.cities.import_value": "What cities in Colombia import this product?", + "graph_builder.page_title.product.departments.export_value": "What departments in Colombia export this product?", + "graph_builder.page_title.product.departments.import_value": "What departments in Colombia import this product?", + "graph_builder.page_title.product.partners.export_value": "Where does Colombia export this product to?", + "graph_builder.page_title.product.partners.export_value.destination": "Where does {{location}} export {{product}} to?", + "graph_builder.page_title.product.partners.import_value": "Where does Colombia import this product from?", + "graph_builder.page_title.product.partners.import_value.origin": "Where does {{location}} import {{product}} from?", + "graph_builder.questions.label": "Change question", + "graph_builder.recirc.header.industry": "Read the profile for this industry", + "graph_builder.recirc.header.location": "Read the profile for this location", + "graph_builder.recirc.header.product": "Read the profile for this product", + "graph_builder.search.placeholder.agproducts": "Highlight agricultural products in the graph below", + "graph_builder.search.placeholder.cities": "Highlight a city on the graph below", + "graph_builder.search.placeholder.departments": "Highlight a department on the graph below", + "graph_builder.search.placeholder.farmtypes": "Highlight a farm type in the graph below", + "graph_builder.search.placeholder.industries": "Highlight industries on the graph below", + "graph_builder.search.placeholder.landUses": "Highlight a land use on the graph below", + "graph_builder.search.placeholder.livestock": "Highlight a livestock type in the graph below", + "graph_builder.search.placeholder.locations": "Highlight locations on the graph below", + "graph_builder.search.placeholder.municipalities": "Highlight a municipality on the graph below", + "graph_builder.search.placeholder.occupations": "Highlight an occupation on the graph below", + "graph_builder.search.placeholder.partners": "Highlight trade partners on the graph below", + "graph_builder.search.placeholder.products": "Highlight products on the graph below", + "graph_builder.search.submit": "Highlight", + "graph_builder.settings.change_time": "Change time period", + "graph_builder.settings.close_settings": "Save and close", + "graph_builder.settings.label": "Change Characteristics", + "graph_builder.settings.rca": "Revealed comparative advantage", + "graph_builder.settings.rca.all": "All", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "to", + "graph_builder.settings.year": "Years", + "graph_builder.settings.year.next": "Next", + "graph_builder.settings.year.previous": "Previous", + "graph_builder.table.agproduct": "Agricultural Product", + "graph_builder.table.area": "Area ", + "graph_builder.table.average_wages": "Avg. monthly wage, Col$", + "graph_builder.table.avg_wage": "Avg. monthly wage, Col$", + "graph_builder.table.code": "Code", + "graph_builder.table.cog": "Opportunity gain", + "graph_builder.table.coi": "Export complexity outlook", + "graph_builder.table.complexity": "Complexity", + "graph_builder.table.country": "Country", + "graph_builder.table.distance": "Distance", + "graph_builder.table.eci": "Export complexity", + "graph_builder.table.employment": "Employment", + "graph_builder.table.employment_growth": "Employment growth rate ({{yearRange}})", + "graph_builder.table.export": "Export", + "graph_builder.table.export_num_plants": "Firm number", + "graph_builder.table.export_rca": "Revealed comparative advantage", + "graph_builder.table.export_value": "Exports, USD", + "graph_builder.table.farmtype": "Farm Type", + "graph_builder.table.gdp_pc_real": "GDP per Capita", + "graph_builder.table.gdp_real": "GDP", + "graph_builder.table.import_value": "Imports, USD", + "graph_builder.table.industry": "Industry", + "graph_builder.table.industry_coi": "Industry complexity outlook", + "graph_builder.table.industry_eci": "Industry complexity", + "graph_builder.table.land_harvested": "Land harvested (ha)", + "graph_builder.table.land_sown": "Land sown (ha)", + "graph_builder.table.land_use": "Land Use", + "graph_builder.table.less_than_5": "Less than 5", + "graph_builder.table.livestock": "Livestock", + "graph_builder.table.location": "Location", + "graph_builder.table.monthly_wages": "Avg. monthly wage, Col$", + "graph_builder.table.name": "Name", + "graph_builder.table.num_establishments": "Firm number", + "graph_builder.table.num_farms": "Number of farms", + "graph_builder.table.num_livestock": "Number of livestock", + "graph_builder.table.num_vacancies": "Vacancies", + "graph_builder.table.occupation": "Occupation", + "graph_builder.table.parent": "Parent", + "graph_builder.table.parent.country": "Region", + "graph_builder.table.population": "Population", + "graph_builder.table.production_tons": "Production (tons)", + "graph_builder.table.rca": "Revealed comparative advantage", + "graph_builder.table.read_more": "Unfamiliar with any of the indicators above? Look them up in the", + "graph_builder.table.share": "Share", + "graph_builder.table.wages": "Total wages, Col$ (in thousands)", + "graph_builder.table.year": "Year", + "graph_builder.table.yield_index": "Yield Index", + "graph_builder.table.yield_ratio": "Yield (tons/ha)", + "graph_builder.view_more": "View more", + "header.destination": "Destination", + "header.destination_by_products": "Destinations by Products", + "header.employment": "Employment", + "header.export": "Exports", + "header.import": "Imports", + "header.industry": "Industries", + "header.industry_potential": "Potential", + "header.industry_space": "Industry space", + "header.landUse": "Land Use", + "header.land_harvested": "Land Harvested", + "header.land_sown": "Land Sown", + "header.occupation": "Occupations", + "header.occupation.available_jobs": "Job openings", + "header.origin": "Origin", + "header.origin_by_products": "Origin by Products", + "header.overview": "Overview", + "header.partner": "Partners", + "header.product": "Products", + "header.product_potential": "Potential", + "header.product_space": "Product space", + "header.production_tons": "Production", + "header.region": "By department", + "header.subregion": "By city", + "header.subsubregion": "By municipality ", + "header.wage": "Total wages", + "index.builder_cta": "Build graphs about coffee", + "index.builder_head": "Then dive into the graph builder", + "index.builder_subhead": "Create graphs and maps for your presentations", + "index.complexity_caption": "How good is it? Country growth predictions using economic complexity were more than six times as accurate as conventional metrics, such as the Global Competitiveness Index.", + "index.complexity_cta": "Read more about complexity concepts", + "index.complexity_figure.WEF_name": "Global Competitiveness Index", + "index.complexity_figure.complexity_name": "Complexity ranking", + "index.complexity_figure.head": "Growth explained (percent of 10-year variance)", + "index.complexity_head": "The complexity advantage", + "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Using the methods of measuring and visualizing economic complexity developed by Harvard University, Datlas helps to explore the production and export possibilities of every city and department in Colombia.", + "index.country_profile": "Read the profile for Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Mapping the future", + "index.future_subhead": "Scatterplots and network diagrams help find the untapped markets best suited to a city or a department.", + "index.graphbuilder.id": "87", + "index.header_h1": "The Colombian Atlas of Economic Complexity", + "index.header_head": "You haven\u2019t seen Colombia like this before", + "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Colombia.", + "index.industry_head": "Learn about an industry", + "index.industry_q1": "Where in Colombia does the chemical industry employ the most people?", + "index.industry_q1.id": "461", + "index.industry_q2": "What occupations are demanded by the chemical industry?", + "index.industry_q2.id": "461", + "index.location_head": "Learn about a location", + "index.location_q1": "What industries in Bogot\u00e1 Met employ the most people?", + "index.location_q1.id": "41", + "index.location_q2": "What products have the most potential in Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "See all questions", + "index.present_head": "Charting the present", + "index.present_subhead": "Use our treemaps, charts, and maps to break down your department, city or municipality\u2019s exports and employment.", + "index.product_head": "Learn about an export", + "index.product_q1": "What places in Colombia export computers?", + "index.product_q1.id": "1143", + "index.product_q2": "What places in Colombia import computers?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Read the profile for Antioquia", + "index.profiles_head": "Start with our profiles", + "index.profiles_subhead": "Just the essentials, presented as a one-page summary", + "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Research featured in", + "industry.show.avg_wages": "Average wages ({{year}})", + "industry.show.employment": "Employment ({{year}})", + "industry.show.employment_and_wages": "Formal employment and wages", + "industry.show.employment_growth": "Employment growth rate ({{yearRange}})", + "industry.show.industries": "Industries", + "industry.show.industry_composition": "Industry composition, {{year}}", + "industry.show.occupation": "Occupations", + "industry.show.occupation_demand": "Occupations most demanded by this industry, 2014", + "industry.show.value": "Value", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "department", + "location.model.msa": "city", + "location.model.municipality": "municipality", + "location.show.ag_farmsize": "Avg. agricultural farm size (ha)", + "location.show.all_departments": "Compared to the other departments", + "location.show.all_regions": "Compared to the other locations", + "location.show.bullet.gdp_grow_rate": "The GDP growth rate in the period {{yearRange}} was {{gdpGrowth}}, compared to 5.3% for Colombia", + "location.show.bullet.gdp_pc": "{{name}} has a GDP per capita of {{lastGdpPerCapita}}, compared to Col$15.1 million for Colombia in 2014.", + "location.show.bullet.last_pop": "The population is {{lastPop}}, compared to 46.3 million in Colombia as a whole in 2014.", + "location.show.eci": "Export complexity", + "location.show.employment": "Employment ({{lastYear}})", + "location.show.employment_and_wages": "Formal employment and wages", + "location.show.export_possiblities": "Export possiblities", + "location.show.export_possiblities.footer": "Some exports make not be viable due to local factors not considered by the technological similarity approach.", + "location.show.export_possiblities.intro": "We\u2019ve found that countries which export complex products grow faster than those which export simple products. Using the product space presented above, we\u2019ve highlighted \u00a0high potential products for {{name}}, ranked by which have the highest combination of opportunity and complexity.", + "location.show.exports": "Exports ({{year}})", + "location.show.exports_and_imports": "Exports and imports", + "location.show.gdp": "GDP", + "location.show.gdp_pc": "GDP per Capita", + "location.show.growth_annual": "Growth rate ({{yearRange}})", + "location.show.imports": "Imports ({{year}})", + "location.show.nonag_farmsize": "Avg. nonagricultural farm size (ha)", + "location.show.overview": "Overview", + "location.show.population": "Population", + "location.show.subregion.exports": "Export Composition by Municipality ({{year}})", + "location.show.subregion.imports": "Import Composition by Municipality ({{year}})", + "location.show.subregion.title": "Export and Import by Municipality", + "location.show.total_wages": "Total wages ({{lastYear}})", + "location.show.value": "Value", + "pageheader.about": "About", + "pageheader.alternative_title": "Atlas of Economic Complexity", + "pageheader.brand_slogan": "You haven't seen Colombia like this before", + "pageheader.download": "About the Data", + "pageheader.graph_builder_link": "Graph Builder", + "pageheader.profile_link": "Profile", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Search", + "pageheader.search_placeholder": "Search for a location, product or industry", + "pageheader.search_placeholder.industry": "Search for a industry", + "pageheader.search_placeholder.location": "Search for a location", + "pageheader.search_placeholder.product": "Search for a product", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explanation", + "rankings.intro.p": "Compare departments and cities across Colombia.", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Cities", + "rankings.section.departments": "Departments", + "rankings.table-title": "rank", + "search.didnt_find": "Didn\u2019t find what you were looking for? Let us know: Datlascolombia@bancoldex.com", + "search.header": "results", + "search.intro": "Search for the location, product, industry or occupation that you\u2019re interested in", + "search.level.4digit": "HS (1992) four-digit", + "search.level.class": "ISIC four-digit", + "search.level.country": "Country", + "search.level.department": "Department", + "search.level.division": "ISIC two-digit", + "search.level.msa": "City", + "search.level.municipality": "Municipality", + "search.level.parent.4digit": "HS (1992) two-digit", + "search.level.parent.class": "ISIC two-digit", + "search.level.parent.country": "Region", + "search.placeholder": "Type here to search", + "search.results_industries": "Industries", + "search.results_locations": "Locations", + "search.results_products": "Products", + "table.export_data": "Export Data", + "thousands_delimiter": "," +}; \ No newline at end of file diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 6f4a721d..2343801c 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -37,23 +37,23 @@ export default { "country.show.agproducts.production_tons": "Producci\u00f3n (toneladas)", "country.show.average_livestock_load": "628", "country.show.dotplot-column": "Departamentos de Colombia", - "country.show.eci": "0,037", + "country.show.eci": "0,35", "country.show.economic_structure": "Estructura econ\u00f3mica", - "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 49,5 millones (a diciembre 2017), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2016 fue Col $772,4 billones, o US$253,2 miles de millones a la tasa de cambio promedio de 2016 (1 US d\u00f3lar = 3.050 pesos colombianos). En 2016, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $17.798.353 o US$5.806. Durante el a\u00f1o 2016 la econom\u00eda colombiana creci\u00f3 2%.", - "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 20,9%, seguidos por los servicios de gobierno, sociales y personales (15,4%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 25,7, 13,9 y 9,7%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 49,5 millones (a diciembre 2017), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2017 fue Col $835,1 billones, o US$283 miles de millones a la tasa de cambio promedio de 2017 (1 US d\u00f3lar = 2.951 pesos colombianos). En 2017, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $18.828.100 o US$6.380,24. Durante el a\u00f1o 2017 la econom\u00eda colombiana creci\u00f3 1.8%.", + "country.show.economic_structure.copy.p2": "Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 26,4%, 15% y 9%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", - "country.show.employment_wage_occupation.copy.p1": "Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2016 fue 8,2 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 31,7%, 17,1%, and 10,8% del empleo formal (efectivo).", - "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.employment_wage_occupation.copy.p1": "Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2016 fue 8,2 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 31,7%, 17,1%, y 10,8% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2017.", "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", "country.show.exports": "Exportaciones", - "country.show.exports.copy.p1": "Colombia export\u00f3 US$32,5 miles de millones en 2016. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Panam\u00e1, China y Espa\u00f1a. En 2016, los productos minerales (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 51,7% de las exportaciones totales de bienes; los productos vegetales, alimentos y maderas 22,57%, y los quimicos y pl\u00e1sticos 9,78%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$38,2 miles de millones en 2017. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Panam\u00e1, China y Holanda. En 2017, los productos minerales (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 56,2% de las exportaciones totales de bienes; los productos vegetales, alimentos y maderas 20,78%, y los quimicos y pl\u00e1sticos 8,43%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", "country.show.gdp": "Col $756,152 bill", - "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.gdp_per_capita": "Col $18.828.100", "country.show.industry_complex": "Complejidad de los sectores productivos", "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", @@ -61,8 +61,8 @@ export default { "country.show.landuses": "Uso del Suelo en Colombia", "country.show.landuses.area": "\u00c1rea Total (ha)", "country.show.nonag_farmsize": "4.53 ha", - "country.show.occupation.num_vac": "Vacantes anunciadas", - "country.show.population": "48,1 mill", + "country.show.occupation.num_vac": "Vacantes anunciadas (2017)", + "country.show.population": "49,5 mill", "country.show.product_space": "Mapa de los productos", "country.show.total": "Totales", "ctas.csv": "CSV", @@ -88,7 +88,7 @@ export default { "downloads.map.header": "Mapa", "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", "downloads.occupations_head": "Datos de ocupaciones", - "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2017)", "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", "downloads.other_head": "Otros datos (DANE)", "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", @@ -527,7 +527,8 @@ export default { "index.complexity_figure.head": "Crecimiento econ\u00f3mico explicado (% de la varianza decenal)", "index.complexity_head": "La ventaja de la complejidad", "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", - "index.country_profile": "Lea el perfil de Colombia", + "index.country_profile_p1": "Lea el perfil", + "index.country_profile_p2": "de Colombia", "index.dropdown.industries": "461,488", "index.dropdown.locations": "41,87,34,40", "index.dropdown.products": "1143,87", @@ -535,9 +536,12 @@ export default { "index.future_head": "Avizorando el futuro", "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", "index.graphbuilder.id": "87", - "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_h1_p1": "El Atlas Colombiano de", + "index.header_h1_p2": "Complejidad Econ\u00f3mica", + "index.header_h1_add": "Quieres saber", "index.header_head": "Colombia como usted nunca la ha visto", "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.header_subhead_add": "¿Qué sectores emplean más gente en Bogotá?", "index.industry_head": "Ent\u00e9rese de un sector", "index.industry_q1": "\u00bfEn d\u00f3nde emplea m\u00e1s personas el sector qu\u00edmico de Colombia?", "index.industry_q1.id": "461", @@ -562,7 +566,9 @@ export default { "index.profiles_cta": "Lea el perfil de Antioquia", "index.profiles_head": "Comience por los perfiles", "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", - "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_head_p1": "Actualizaciones", + "index.questions_head_p2": "M\u00f3dulos comercio exterior y sectores", + "index.sophistication_route": "Ruta de sofisticación y diversificación de producto", "index.questions_subhead": "index.questions_subhead", "index.research_head": "Investigaci\u00f3n mencionada en", "industry.show.avg_wages": "Salarios promedio ({{year}})", @@ -583,9 +589,9 @@ export default { "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", "location.show.average_livestock_load": "", - "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", - "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", - "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.bullet.gdp_grow_rate": "Principales variables del departamento:", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$18,8 millones para toda Colombia en 2017.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 49,5 millones de personas en todo el pa\u00eds en 2017.", "location.show.eci": "Complejidad exportadora", "location.show.employment": "Empleo total ({{lastYear}})", "location.show.employment_and_wages": "Empleo formal y salarios", @@ -654,4 +660,4 @@ export default { "search.results_rural": "Actividades rurales", "table.export_data": "Descargar Datos", "thousands_delimiter": "." -}; \ No newline at end of file +}; diff --git a/app/locales/es-col/translations.original b/app/locales/es-col/translations.original new file mode 100644 index 00000000..9c3865a5 --- /dev/null +++ b/app/locales/es-col/translations.original @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "mm", + "abbr_million": "mill", + "abbr_thousand": "miles", + "abbr_trillion": "bill", + "about.downloads.explanation.p1": "Descarque el documento que explica c\u00f3mo se calcula cada una de las variables de complejidad que utiliza Datlas.", + "about.downloads.explanation.title": "M\u00e9todos de c\u00e1lculo de las variables de complejidad", + "about.downloads.locations": "Listas de departmentos, ciudades (incluyendo \u00e1reas metropolitanas) y municipios", + "about.glossary": "

V\u00e9ase la p\u00e1gina \"Acerca de los datos\" para m\u00e1s informaci\u00f3n sobre fuentes, m\u00e9todos de c\u00e1lculo de las variables de complejidad y bases de datos descargables.

\u00c1reas metropolitanas

Un \u00e1rea metropolitana es la combinaci\u00f3n de dos o m\u00e1s municipios que est\u00e1n conectados a trav\u00e9s de flujos relativamente grandes de trabajadores (con independencia de su tama\u00f1o o contig\u00fcidad). Un municipio debe enviar al menos un 10% de sus trabajadores como viajeros diarios al resto de los municipios del \u00e1rea metropolitana para considerarse como parte de dicha \u00e1rea.

Con base en esta definici\u00f3n hay 19 \u00e1reas metropolitanas en Colombia, que comprenden 115 municipios. Las \u00e1reas metropolitanas resultantes son distintas de las oficiales. Se sigue la metodolog\u00eda de G. Duranton ( 2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Ciudades

Son las \u00e1reas metropolitanas y los municipios de m\u00e1s de 50.000 habitantes con al menos 75% de poblaci\u00f3n en la cabecera municipal. En total hay 62 ciudades (19 \u00e1reas metropolitanas que comprenden 115 municipios, m\u00e1s 43 ciudades de un solo municipio). El concepto de ciudad es relevante porque Datlas presenta indicadores de complejidad por departamento y por ciudad, pero no por municipio.

Complejidad

Complejidad es la diversidad y sofisticaci\u00f3n del \"know-how\" que se requiere para producir algo. El concepto de complejidad es central en Datlas porque la productividad y el crecimiento de cualquier lugar dependen de que las empresas puedan producir y exportar con \u00e9xito bienes y servicios que requieren capacidades y conocimientos m\u00e1s complejos, es decir m\u00e1s diversos y exclusivos. La complejidad puede medirse para un lugar, para un producto de exportaci\u00f3n, o para un sector.

Complejidad potencial de un lugar

Mide el potencial de aumento de la complejidad de un lugar. Tiene en cuenta el nivel de complejidad de todos los sectores productivos (o productos de exportaci\u00f3n), junto con la \u201cdistancia\u201d a los dem\u00e1s sectores (o productos). Con esta informaci\u00f3n mide la probabilidad de que aparezcan nuevos sectores (o exportaciones) y qu\u00e9 tanto elevar\u00edan la complejidad del lugar. Valores m\u00e1s altos indican que es m\u00e1s probable desarrollar nuevos sectores (o productos) m\u00e1s complejos que los que ya se tienen.

La complejidad potencial basada en sectores se calcula para los departamentos y ciudades, no para los dem\u00e1s municipios. La complejidad potencial basada en las exportaciones se calcula solamente por departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

DANE

DANE es el Departamento Administrativo Nacional de Estad\u00edstica de Colombia, fuente de todos los datos sobre el PIB y la poblaci\u00f3n que utiliza Datlas.

DIAN

DIAN es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, fuente de toda la informaci\u00f3n sobre exportaciones e importaciones de Datlas.

Distancia a un sector o exportaci\u00f3n en un lugar

La \u201cdistancia\u201d es una medida de la capacidad de un lugar para desarrollar un sector o una exportaci\u00f3n espec\u00edfica, teniendo en cuenta las capacidades productivas existentes. La \u201cdistancia\u201d es menor en la medida en que las capacidades requeridas por un sector o exportaci\u00f3n son m\u00e1s similares a las ya existentes. En esa medida ser\u00e1n mayores las posibilidades de que desarrolle con \u00e9xito el sector o exportaci\u00f3n. Visto de otra forma, la distancia refleja la proporci\u00f3n del conocimiento productivo que se necesita para que aparezca un sector o exportaci\u00f3n que a\u00fan no existe en el lugar.

Las distancias por sectores productivos se calculan solamente para los departamentos y ciudades, no para los dem\u00e1s municipios. Las distancias para las exportaciones se calculan solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Diversidad

Es una medida de cu\u00e1ntos productos diferentes puede hacer un lugar. La producci\u00f3n de un bien cualquiera requiere un conjunto espec\u00edfico de capacidades; por consiguiente la diversidad es otra forma de expresar la cantidad de conocimiento productivo de un lugar.

Empleo, salarios y tasa de empleo formal

El empleo formal es aquel que est\u00e1 cubierto por el sistema de seguridad social en salud y/o por el sistema de pensiones. No incluye trabajadores independientes. El empleo formal reportado es el n\u00famero de empleados formales en un mes promedio. La tasa de formalidad es el empleo formal dividido por la poblaci\u00f3n mayor de 15 a\u00f1os. Los datos de empleo y salarios provienen de la PILA del Ministerio de Salud. Los datos de poblaci\u00f3n son del DANE.

Empresas, n\u00famero de

El conteo de empresas con actividad productiva por lugar (municipio, departamento, nacional) se hizo teniendo en cuenta todas aquellas empresas registradas en la PILA que hicieron alg\u00fan aporte a la seguridad social para sus empleados en el a\u00f1o de referencia (aunque no hayan estado en operaci\u00f3n todo el a\u00f1o).

El conteo de empresas exportadoras o importadoras se hizo por municipio y producto teniendo en cuenta cualquier empresa que seg\u00fan la DIAN hubiera realizado alguna operaci\u00f3n en el a\u00f1o de referencia (por consiguiente, el conteo de empresas exportadoras o importadoras de un producto por departamento o para todo el pa\u00eds puede tener duplicaciones).

\u00cdndice de Complejidad del Producto (ICP)

Ordena los productos de exportaci\u00f3n seg\u00fan qu\u00e9 tantas capacidades productivas se requieren para su fabricaci\u00f3n. Productos complejos de exportaci\u00f3n, tales como qu\u00edmicos y maquinaria, requieren un nivel sofisticado y diverso de conocimientos que s\u00f3lo se consigue con la interacci\u00f3n en empresas de muchos individuos con conocimientos especializados. Esto contrasta con las exportaciones de baja complejidad, como el caf\u00e9, que requieren apenas conocimientos productivos b\u00e1sicos que se pueden reunir en una empresa familiar. Para calcular la complejidad de los productos de exportaci\u00f3n se utilizan datos de Comtrade de las Naciones Unidas para cerca de 200 pa\u00edses.

\u00cdndice de Complejidad Econ\u00f3mica (ICE)

Una medida de la sofisticaci\u00f3n de las capacidades productivas de un lugar basada en la diversidad y la ubicuidad de sus sectores productivos o sus exportaciones. Un lugar con alta complejidad produce o exporta bienes y servicios que pocos otros lugares producen. Lugares altamente complejos tienden a ser m\u00e1s productivos y a generar mayores salarios e ingresos. Los pa\u00edses con canastas de exportaci\u00f3n m\u00e1s sofisticadas de lo que se espera para su nivel de ingresos (como China) tienden a crecer m\u00e1s r\u00e1pido que aquellos en los que es todo lo contrario (como Grecia).

El ICE basado en los sectores productivos (o \u00edndice de complejidad productiva) se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. La ICE basado en las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la estructura de las exportaciones es inestable y/o poco representativa).

\u00cdndice de Complejidad del Sector (ICS)

Es una medida de qu\u00e9 tantas capacidades productivas requieren un sector para operar. El ICS y el \u00cdndice de Complejidad del Producto (ICP) son medidas estrechamente relacionadas, pero se calculan en forma separada con datos y sistemas de clasificaci\u00f3n independientes, ya que la complejidad del producto se calcula solo para mercanc\u00edas comercializables internacionalmente, mientras que los sectores productivos comprenden todos los sectores que generan empleo, incluidos todos los servicios y el sector p\u00fablico. Un sector es complejo si requiere un nivel sofisticado de conocimientos productivos, como los servicios financieros y los sectores farmac\u00e9uticos, en donde trabajan en grandes empresas muchos individuos con conocimientos especializados distintos. La complejidad de un sector se mide calculando la diversidad promedio de los lugares donde existe el sector y la ubicuidad promedio de los sectores de esos lugares. Los datos de empleo formal necesarios para estos c\u00e1lculos provienen de la PILA del Ministerio de Salud.

Mapa de similitud tecnol\u00f3gica de productos de exportaci\u00f3n (o mapa de los productos)

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos para la exportaci\u00f3n de unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Aparecen con color los productos de exportaci\u00f3n que se exportan con ventaja comparativa revelada mayor que uno. Cuando se selecciona un producto, el gr\u00e1fico destaca los productos que requieren capacidades productivas semejantes. Un producto con m\u00e1s enlaces con otros que no se exportan ofrece mayor potencial para la diversificaci\u00f3n exportadora a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el producto tiene un alto potencial para elevar la complejidad del lugar.

El mapa de similitud de los productos se basa en los datos de comercio internacional de 192 pa\u00edses en m\u00e1s de 50 a\u00f1os compilados por Comtrade. Ver http://atlas.cid.harvard.edu/.

Mapa de similitud de los sectores productivos de Colombia

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores u otros. Cada punto representa un sector y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Aparecen con color los sectores con ventaja comparativa revelada mayor que uno. Cuando se selecciona un lugar, el gr\u00e1fico destaca los sectores que requieren capacidades productivas semejantes. Un sector con m\u00e1s enlaces con sectores que no existen ofrece mayor potencial para la diversificaci\u00f3n productiva a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el sector tiene un alto potencial para elevar la complejidad del lugar. El mapa de los sectores productivos de Colombia fue construido a partir de la informaci\u00f3n de empleo formal por municipio de la PILA del Ministerio de Salud.

Ocupaciones

Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos sobre las ocupaciones (salarios ofrecidos, estructura ocupacional por sector y nivel educativo por ocupaci\u00f3n) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Los datos fueron procesados por Jeisson Arley Rubio C\u00e1rdenas (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Escuela de Econom\u00eda de Par\u00eds).

PILA

PILA es la Planilla Integrada de Aportes Laborales del Ministerio de Salud. Es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector.

Productos de exportaci\u00f3n e importaci\u00f3n: sistema de clasificaci\u00f3n

El sistema de clasificaci\u00f3n de los productos de exportaci\u00f3n e importaci\u00f3n de Datlas es la nomenclatura arancelaria NABANDINA, la cual calza a seis d\u00edgitos con la clasificaci\u00f3n internacional del Sistema Armonizado (SA). Datlas presenta informaci\u00f3n de productos (de exportaci\u00f3n e importaci\u00f3n) a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la DIAN.

Sectores productivos: sistema de clasificaci\u00f3n

La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). Datlas presenta informaci\u00f3n sectorial a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la PILA. Siguiendo las convenciones de la contabilidad nacional, los trabajadores contratados por agencias de empleo temporal se clasifican en el sector de suministro de personal (7491), no en el sector de la empresa donde prestan servicios.

Ubicuidad

Una medida del n\u00famero de lugares que pueden producir un producto.

Valor estrat\u00e9gico de un sector o una exportaci\u00f3n para un lugar

Capta en qu\u00e9 medida un lugar podr\u00eda beneficiarse mediante el desarrollo de un sector en particular (o un producto de exportaci\u00f3n). Tambi\u00e9n conocida como \"ganancia de oportunidad\", esta medida representa la distancia a todos los otros sectores (o exportaciones) que un lugar no produce actualmente con ventaja comparativa revelada mayor que uno y su respectiva complejidad. Refleja c\u00f3mo un nuevo sector (o exportaci\u00f3n) puede abrir paso a otros sectores o productos m\u00e1s complejos. El valor estrat\u00e9gico de los sectores productivos se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. El valor estrat\u00e9gico de las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Ventaja Comparativa Revelada (VCR) de un sector o una exportaci\u00f3n en un lugar

Mide el tama\u00f1o relativo de un sector o un producto de exportaci\u00f3n en un lugar. La VCR, que no debe interpretarse como un indicador de eficiencia productiva o de competitividad, se conoce tambi\u00e9n por el nombre de \"cociente de localizaci\u00f3n\u201d. Se calcula como el cociente entre la participaci\u00f3n del empleo formal de un sector en el lugar y la participaci\u00f3n del empleo formal total del mismo sector en todo el pa\u00eds. Por ejemplo, si la industria qu\u00edmica en una ciudad genera el 10% del empleo, mientras que en todo el pa\u00eds genera el 1% del empleo, la VCR de la industria qu\u00edmica en dicha ciudad es 10. Para una exportaci\u00f3n es la relaci\u00f3n entre la participaci\u00f3n que tiene el producto en la canasta de exportaci\u00f3n del lugar y la participaci\u00f3n que tiene en el comercio mundial. Si esta relaci\u00f3n es mayor que 1, se dice que el lugar tiene ventaja comparativa revelada en el sector o en la exportaci\u00f3n. Por ejemplo, si el caf\u00e9 representa el 30% de las exportaciones de un departamento colombiano, pero da cuenta apenas del 0.3% del comercio mundial, entonces la VCR del departamento en caf\u00e9 es 100.

", + "about.glossary_name": "Glosario", + "about.project_description.cid.header": "El CID y el Laboratorio de Crecimiento ", + "about.project_description.cid.p1": "Este proyecto ha sido desarrollado por el Centro para el Desarrollo Internacional de la Universidad de Harvard (CID), bajo la direcci\u00f3n del profesor Ricardo Hausmann", + "about.project_description.cid.p2": "El CID tiene por objetivos avanzar en la comprensi\u00f3n de los desaf\u00edos del desarrollo y ofrecer soluciones viables para reducir la pobreza mundial. El Laboratorio de Crecimiento es uno de los principales programas de investigaci\u00f3n del CID.", + "about.project_description.contact.header": "Informaci\u00f3n de contacto", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex, el banco de desarrollo empresarial de Colombia, est\u00e1 comprometido con el desarrollo de instrumentos financieros y no financieros orientados a mejorar la competitividad, la productividad, el crecimiento y la internacionalizaci\u00f3n de las empresas colombianas. Aprovechando su posici\u00f3n de mercado y su capacidad para establecer relaciones empresariales, Banc\u00f3ldex gestiona activos financieros, desarrolla soluciones de acceso a la financiaci\u00f3n y ofrece soluciones de capital innovadoras que fomentan y aceleran el crecimiento empresarial. Adem\u00e1s de ofrecer pr\u00e9stamos tradicionales, Banc\u00f3ldex ha sido designado para ejecutar varios programas de desarrollo tales como el Programa de Transformaci\u00f3n Productiva, iNNpulsa Colombia, iNNpulsa Mipyme y la Banca de las Oportunidades. Todos ellos conforman una oferta integrada de servicios para promover el entorno empresarial colombiano y la competitividad. Datlas es parte del Programa de Transformaci\u00f3n Productiva y la iniciativas INNpulsa Colombia.", + "about.project_description.founder2.header": "Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.founder2.p": "Creada en 1953, la Fundaci\u00f3n Mario Santo Domingo (FMSD) es una organizaci\u00f3n sin fines de lucro dedicada a la implementaci\u00f3n de programas de desarrollo comunitario en Colombia. FMSD concentra sus principales esfuerzos en la construcci\u00f3n de viviendas asequibles dentro de un modelo de desarrollo comunitario llamado Desarrollo Integral de Comunidades Sustentables, dise\u00f1ado por el FMSD como respuesta al gran d\u00e9ficit de vivienda en Colombia. A trav\u00e9s de este programa, el FMSD proporciona apoyo social a las familias, as\u00ed como infraestructura social y urbana para los menos privilegiados. FMSD tambi\u00e9n contribuye al desarrollo empresarial de la regi\u00f3n Norte de Colombia y de Bogot\u00e1 a trav\u00e9s de su Unidad de Microfinanzas, que ofrece capacitaci\u00f3n y servicios financieros como el microcr\u00e9dito. M\u00e1s de 130.000 empresarios han recibido pr\u00e9stamos de la Fundaci\u00f3n desde su lanzamiento en 1984. FMSD tambi\u00e9n trabaja en identificar alianzas y sinergias entre los sectores p\u00fablico y privado en las \u00e1reas de desarrollo social cr\u00edticos, como la primera infancia, la sostenibilidad ambiental, la atenci\u00f3n de desastres, la educaci\u00f3n y la salud.", + "about.project_description.founders.header": "Entidades Patrocinadoras", + "about.project_description.founders.p": "Este proyecto es financiado por Banc\u00f3ldex y la Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.github": "Revise nuestro c\u00f3digo", + "about.project_description.intro.p1": "En Colombia, las diferencias de ingresos entre regiones son enormes y han ido creciendo: las nuevas oportunidades de empleo se concentran cada vez m\u00e1s en las \u00e1reas metropolitanas de Bogot\u00e1, Medell\u00edn y Cali, aparte de los lugares donde se extraen petr\u00f3leo y otros minerales. El ingreso promedio de los residentes de Bogot\u00e1 es cuatro veces el de los colombianos que viven en los 12 departamentos m\u00e1s pobres.", + "about.project_description.intro.p2": "Datlas es una herramienta de diagn\u00f3stico para que las empresas, los inversionistas y las autoridades de gobierno puedan tomar decisiones que ayuden a elevar la productividad. Contiene informaci\u00f3n por departamento, \u00e1rea metropolitana y municipio sobre actividad productiva, empleo, salarios y exportaciones. Ofrece criterios para identificar los sectores y las exportaciones con potencial de crecimiento con base en la complejidad econ\u00f3mica.", + "about.project_description.intro.p3": "La complejidad econ\u00f3mica es una medida de las capacidades y conocimientos de los sectores productivos de un pa\u00eds o una ciudad. Para hacer una camisa, hay que dise\u00f1arla, producir la tela, cortar, coser, empacar el producto, comercializarlo y distribuirlo. Para que un pa\u00eds pueda producir camisas, necesita personas que tengan experiencia en cada una de estas \u00e1reas. Cada una de estas tareas implica muchas m\u00e1s capacidades de las que cualquier persona sola puede dominar. S\u00f3lo mediante la combinaci\u00f3n de know-how de diferentes personas puede hacerse el producto. El camino hacia el desarrollo econ\u00f3mico consiste en aprender a hacer cosas m\u00e1s sofisticadas. El juego de Scrabble puede servir de analog\u00eda: el jugador que tiene un mayor n\u00famero de letras variadas puede hacer m\u00e1s palabras y conseguir m\u00e1s puntos. Los pa\u00edses con una mayor diversidad de capacidades productivas pueden hacer una mayor diversidad de productos. El desarrollo econ\u00f3mico ocurre en la medida en que el pa\u00eds o la ciudad adquiere m\u00e1s capacidades y conocimientos para producir productos cada vez m\u00e1s complejos.", + "about.project_description.intro.p4": "Este enfoque conceptual que ha sido aplicado a nivel internacional en el Atlas de la Complejidad Econ\u00f3mica se utiliza ahora en esta herramienta en l\u00ednea para identificar las posibilidades de exportaci\u00f3n y de desarrollo sectorial de los departamentos, las \u00e1reas metropolitanas y las ciudades colombianas.", + "about.project_description.letter.header": "Bolet\u00edn de Estudios del CID", + "about.project_description.letter.p": "Inscr\u00edbase al Bolet\u00edn de Estudios del CID para mantenerse al d\u00eda con los avances de la investigaci\u00f3n y las herramientas pr\u00e1cticas en temas relacionados con la complejidad.", + "about.project_description.team.header": "El equipo acad\u00e9mico y t\u00e9cnico", + "about.project_description.team.p": "El equipo acad\u00e9mico de CID de Harvard: Ricardo Hausmann (director), Eduardo Lora (coordinador), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery y Juan T\u00e9llez. El equipo de programaci\u00f3n y visualizaci\u00f3n de CID de Harvard: Greg Shapiro (coordinador), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot y Gus Wezerek. Asesor estad\u00edstico de Colombia: Marcela Eslava (Universidad de los Andes). Recopilaci\u00f3n y procesamiento de los datos de ofertas de empleo de Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "Acerca de Datlas", + "census_year": "2014", + "country.show.ag_farmsize": "", + "country.show.dotplot-column": "Departamentos de Colombia", + "country.show.eci": "0,037", + "country.show.economic_structure": "Estructura econ\u00f3mica", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 48,1 millones (a mayo 2015), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2014 fue Col $756,1 billones, o US$377,9 miles de millones a la tasa de cambio promedio de 2014 (1 US d\u00f3lar = 2000,6 pesos colombianos). En 2014, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $15.864.953 o US$7.930. La tasa de crecimiento desde 2008 ha sido en promedio 4.3% (o 3.1% por persona). ", + "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 18,8%, seguidos por los servicios de gobierno, sociales y personales (16,5%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 24,7, 13,1 y 9,2%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", + "country.show.employment_wage_occupation.copy.p1": "En 2014, aproximadamente 21,6 millones de personas fueron ocupadas en empleos formales o informales, con un leve aumento respecto al a\u00f1o anterior (21,1 millones). Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que 13,3 millones de personas estuvieron ocupadas en alg\u00fan momento en empleos formales en 2013. Teniendo en cuenta el n\u00famero de meses empleados, el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2013 fue 6,7 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 32,7, 16,7, and 10,7% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", + "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", + "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", + "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", + "country.show.exports": "Exportaciones", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$54,8 miles de millones en 2014, comparado con $58,8 miles de millones en 2013 y $60,1 miles de millones en 2012. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Venezuela, Ecuador y Per\u00fa. En 2014, los productos mineros (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 59,3% de las exportaciones totales de bienes; los productos manufacturados 35,6%, y los productos agr\u00edcolas 4,6%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", + "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", + "country.show.gdp": "Col $756,152 bill", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Complejidad de los sectores productivos", + "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", + "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", + "country.show.industry_space": "Mapa de los sectores", + "country.show.nonag_farmsize": "", + "country.show.occupation.num_vac": "Vacantes anunciadas (2014)", + "country.show.population": "48,1 millones", + "country.show.product_space": "Mapa de los productos", + "country.show.total": "Totales", + "ctas.csv": "CSV", + "ctas.download": "Descargue estos datos", + "ctas.embed": "Insertar", + "ctas.excel": "Excel", + "ctas.export": "Exportar", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Compartir", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ",", + "downloads.cta_download": "Descargar", + "downloads.cta_na": "No disponible", + "downloads.head": "Acerca de los datos", + "downloads.industry_copy": "La Planilla Integrada de Aportes Laborales, PILA, del Ministerio de Salud, es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector. La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). La lista de los sectores productivos puede verse en las bases de datos descargables de sectores. Puede descargarse aqu\u00ed un archivo con la lista de los sectores productivos del CIIU los cu\u00e1les no aparecen representados en el mapa de los sectores (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.industry_head": "Datos de sectores productivos (PILA)", + "downloads.industry_row_1": "Empleo, salarios, n\u00famero de empresas e indicadores de complejidad productiva ({{yearRange}})", + "downloads.list_of_cities.header": "Listas de departamentos, ciudades y municipios", + "downloads.map.cell": "Datos del mapa", + "downloads.map.header": "Mapa", + "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", + "downloads.occupations_head": "Datos de ocupaciones", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", + "downloads.other_head": "Otros datos (DANE)", + "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", + "downloads.thead_departments": "Departamentos", + "downloads.thead_met": "Ciudades", + "downloads.thead_muni": "Municipios", + "downloads.thead_national": "Nacional", + "downloads.trade_copy": "La fuente de todos los datos sobre las exportaciones e importaciones por departamento y municipio es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, DIAN. Colombia utiliza la nomenclatura arancelaria NANDINA, la cual calza a los seis d\u00edgitos con el Sistema Armonizado (SA) de clasificaci\u00f3n internacional de productos. Eso lo estandarizamos despu\u00e9s a SA (HS) 1992 para resolver cualquier inconsistencia entre las versiones a trav\u00e9s de los a\u00f1os, de manera tal que los datos se puedan visualizar en el tiempo. La lista de partidas arancelarias puede verse en las bases de datos descargables de exportaci\u00f3n e importaci\u00f3n.

El origen de las exportaciones se establece en dos etapas. Primero, se define el departamento de origen como es el \u00faltimo lugar donde tuvieron alg\u00fan procesamiento, ensamblaje o empaque, seg\u00fan la DIAN. Luego, se distribuyen los valores entre municipios seg\u00fan la composici\u00f3n del empleo de la firma correspondiente con base en la PILA (para las firmas sin esta informaci\u00f3n se asign\u00f3 el valor total a la capital del departamento). En el caso de las exportaciones de petr\u00f3leo (2709) y gas (2711), los valores totales se distribuyeron por origen seg\u00fan la producci\u00f3n por municipios (Agencia Nacional de Hidrocarburos y Asociaci\u00f3n Colombiana de Petr\u00f3leo) y en el caso de las exportaciones de refinados de petr\u00f3leo (2710) seg\u00fan el valor agregado por municipio (sectores 2231, 2322 y 2320 CIIU revisi\u00f3n 3, Encuesta Anual Manufacturera, DANE).

Los totales de exportaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las exportaciones sin informaci\u00f3n sobre el sector del exportador y/o el departamento o municipio de origen, y (b) las exportaciones que en los datos de la DIAN tienen como destino las zonas francas; mientras que quedan incluidas: (c) las exportaciones de las zonas francas, que la DIAN no incluye en dichos totales.

De forma semejante, los totales de importaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las importaciones sin informaci\u00f3n sobre el departamento o municipio de destino, y (b) las importaciones que en los datos de la DIAN tienen como origen las zonas francas; mientras que quedan incluidas: (c) las importaciones realizadas por las zonas francas, que la DIAN no incluye en dichos totales.

El archivo que describe la correspondencia entre la versi\u00f3n del Sistema Armonizado (HS) utilizado por la DIAN y su revisi\u00f3n de 1992 puede encontrarse aqu\u00ed.

Tambi\u00e9n puede descargarse aqu\u00ed un archivo con la lista de los productos del Sistema Armonizado los cu\u00e1les no aparecen representados en el mapa del producto (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.trade_head": "Datos de exportaciones e importaciones (DIAN)", + "downloads.trade_row_1": "Exportaciones, importaciones e indicadores de complejidad ({{yearRange}})", + "downloads.trade_row_2": "Exportaciones e importaciones con origen y destino ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Productos", + "general.geo": "Mapa geogr\u00e1fico", + "general.glossary": "Glosario", + "general.industries": "Sectores", + "general.industry": "sector", + "general.location": "lugar", + "general.locations": "Lugares", + "general.multiples": "Gr\u00e1ficos de \u00e1reas", + "general.occupation": "ocupaci\u00f3n", + "general.occupations": "Ocupaciones", + "general.product": "producto", + "general.scatter": "Gr\u00e1fico de dispersi\u00f3n", + "general.similarity": "mapa de los sectores", + "general.total": "Totales", + "general.treemap": "Gr\u00e1fico de composici\u00f3n", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glosario", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "", + "graph_builder.builder_mod_header.industry.cities.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total de vacantes", + "graph_builder.builder_mod_header.landUse.departments.area": "", + "graph_builder.builder_mod_header.landUse.municipalities.area": "", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "", + "graph_builder.builder_mod_header.location.industries.employment": "Empleo total", + "graph_builder.builder_mod_header.location.industries.scatter": "Complejidad, distancia y valor estrat\u00e9gico de sectores potenciales ", + "graph_builder.builder_mod_header.location.industries.similarity": "Sectores con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.location.industries.wages": "Salarios totales", + "graph_builder.builder_mod_header.location.landUses.area": "", + "graph_builder.builder_mod_header.location.livestock.num_farms": "", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "", + "graph_builder.builder_mod_header.location.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.partners.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.products.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.scatter": "Complejidad, distancia y valor estrat\u00e9gico de exportaciones potenciales", + "graph_builder.builder_mod_header.location.products.similarity": "Exportaciones con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.product.cities.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.cities.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.departments.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.departments.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.partners.import_value": "Importaciones totales", + "graph_builder.builder_nav.header": "M\u00e1s gr\u00e1ficos para este {{entity}}", + "graph_builder.builder_nav.intro": "Seleccione una pregunta para ver el gr\u00e1fico correspondiente. Si en la pregunta faltan par\u00e1metros ({{icon}}), los podr\u00e1 llenar cuando haga click.", + "graph_builder.builder_questions.city": "Preguntas: ciudades", + "graph_builder.builder_questions.department": "Preguntas: departamentos", + "graph_builder.builder_questions.employment": "Preguntas: empleo", + "graph_builder.builder_questions.export": "Preguntas: exportaciones", + "graph_builder.builder_questions.import": "Preguntas: importaciones", + "graph_builder.builder_questions.industry": "Preguntas: sectores", + "graph_builder.builder_questions.landUse": "", + "graph_builder.builder_questions.location": "Preguntas: lugares", + "graph_builder.builder_questions.occupation": "Preguntas: ocupaciones", + "graph_builder.builder_questions.partner": "Preguntas: socios comerciales", + "graph_builder.builder_questions.product": "Preguntas: productos de exportaci\u00f3n", + "graph_builder.builder_questions.wage": "Preguntas: n\u00f3mina salarial", + "graph_builder.change_graph.geo_description": "Mapea los datos", + "graph_builder.change_graph.label": "Cambie el gr\u00e1fico", + "graph_builder.change_graph.multiples_description": "Muestra el crecimiento en varios per\u00edodos", + "graph_builder.change_graph.scatter_description": "Muestra la complejidad y la distancia", + "graph_builder.change_graph.similarity_description": "Presenta las ventajas comparativas reveladas", + "graph_builder.change_graph.treemap_description": "Muestra la descomposici\u00f3n en varios niveles", + "graph_builder.change_graph.unavailable": "Este gr\u00e1fico no est\u00e1 disponible para esta pregunta", + "graph_builder.download.agproduct": "", + "graph_builder.download.area": "", + "graph_builder.download.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.download.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.download.code": "C\u00f3digo", + "graph_builder.download.cog": "Valor estrat\u00e9gico", + "graph_builder.download.complexity": "Complejidad", + "graph_builder.download.distance": "Distancia", + "graph_builder.download.eci": "Complejidad exportadora", + "graph_builder.download.employment": "Empleo", + "graph_builder.download.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.download.export": "Exportaci\u00f3n", + "graph_builder.download.export_num_plants": "N\u00famero de empresas", + "graph_builder.download.export_rca": "Ventaja comparativa revelada", + "graph_builder.download.export_value": "Exportaciones, USD", + "graph_builder.download.farmtype": "", + "graph_builder.download.gdp_pc_real": "PIB per c\u00e1pita, Col $", + "graph_builder.download.gdp_real": "PIB, Col $", + "graph_builder.download.import_value": "Importaciones, USD", + "graph_builder.download.industry": "Sector", + "graph_builder.download.industry_eci": "Complejidad sectorial", + "graph_builder.download.land_harvested": "", + "graph_builder.download.land_sown": "", + "graph_builder.download.land_use": "", + "graph_builder.download.less_than_5": "Menos de 5", + "graph_builder.download.livestock": "", + "graph_builder.download.location": "Lugar", + "graph_builder.download.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.download.name": "Nombre", + "graph_builder.download.num_establishments": "N\u00famero de empresas", + "graph_builder.download.num_farms": "", + "graph_builder.download.num_livestock": "", + "graph_builder.download.num_vacancies": "Vacantes", + "graph_builder.download.occupation": "Ocupaci\u00f3n", + "graph_builder.download.parent": "Grupo", + "graph_builder.download.population": "Poblaci\u00f3n", + "graph_builder.download.production_tons": "", + "graph_builder.download.rca": "Ventaja comparativa revelada", + "graph_builder.download.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.download.wages": "N\u00f3mina salarial total, Col$ ", + "graph_builder.download.year": "A\u00f1o", + "graph_builder.download.yield_index": "", + "graph_builder.download.yield_ratio": "", + "graph_builder.explanation": "Explicaci\u00f3n", + "graph_builder.explanation.agproduct.departments.land_harvested": "", + "graph_builder.explanation.agproduct.departments.land_sown": "", + "graph_builder.explanation.agproduct.departments.production_tons": "", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "", + "graph_builder.explanation.agproduct.municipalities.land_sown": "", + "graph_builder.explanation.agproduct.municipalities.production_tons": "", + "graph_builder.explanation.hide": "Oculte", + "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.cities.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Muestra la composici\u00f3n de las vacantes anunciadas en sitios de Internet y los salarios ofrecidos.", + "graph_builder.explanation.landUse.departments.area": "", + "graph_builder.explanation.landUse.municipalities.area": "", + "graph_builder.explanation.location.agproducts.land_harvested": "", + "graph_builder.explanation.location.agproducts.land_sown": "", + "graph_builder.explanation.location.agproducts.production_tons": "", + "graph_builder.explanation.location.farmtypes.num_farms": "", + "graph_builder.explanation.location.industries.employment": "Muestra la composici\u00f3n sectorial del empleo formal del departamento. Fuente: PILA.", + "graph_builder.explanation.location.industries.scatter": "Cada punto representa un sector productivo. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del lugar en ese sector. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad sectorial y el eje horizontal es la distancia tecnol\u00f3gica para que el sector se desarrolle, dadas las capacidades que ya existen en el lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del sector para el lugar, es decir qu\u00e9 tanto puede contribuir el sector al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles en otros sectores. Los sectores m\u00e1s atractivos son los ubicados arriba y a la izquierda, especialmente si los puntos que los representan son grandes. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.similarity": "El mapa de similitud tecnol\u00f3gica de los sectores (o mapa de los sectores) muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores y otros. Cada punto representa un sector productivo y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Los puntos coloreados son sectores con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en el cuadro que sigue). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros sectores. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.wages": "Muestra la composici\u00f3n sectorial de la n\u00f3mina salarial del departamento o ciudad. Fuente: PILA.", + "graph_builder.explanation.location.landUses.area": "", + "graph_builder.explanation.location.livestock.num_farms": "", + "graph_builder.explanation.location.livestock.num_livestock": "", + "graph_builder.explanation.location.partners.export_value": "Muestra la composici\u00f3n de las exportaciones de este lugar por pa\u00eds de destino, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Muestra la composici\u00f3n de las importaciones de este lugar por pa\u00eds de origen, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.products.export_value": "Muestra la composici\u00f3n de las exportaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.import_value": "Muestra la composici\u00f3n de las importaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.scatter": "Cada punto representa un producto de exportaci\u00f3n. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del departamento o ciudad en ese producto. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad del producto y el eje horizontal es la distancia tecnol\u00f3gica para poder exportar un producto, dadas las capacidades que ya existen en el lugar. La l\u00ednea discontinua es el \u00edndice de complejidad sectorial promedio del lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del producto para el departamento o ciudad, es decir qu\u00e9 tanto puede contribuir el producto al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles para otras exportaciones. Las exportaciones m\u00e1s atractivas de desarrollar son las ubicadas arriba y a la izquierda, especialmente si los puntos que las representan son grandes. Fuente: c\u00e1lculos del CID con datos de la DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.location.products.similarity": "El mapa de similitud tecnol\u00f3gica de los productos (o mapa de los productos) muestra que tan similares son los conocimientos requeridos por unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Los puntos coloreados son exportaciones con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de productos (v\u00e9ase el cuadro). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros productos. Fuente: c\u00e1lculos del CID con datos de DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.product.cities.export_value": "Muestra la composici\u00f3n por ciudades de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Muestra la composici\u00f3n por ciudades de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Muestra la composici\u00f3n por departamentos de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Muestra la composici\u00f3n por departamentos de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Muestra el destino de las exportaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.show": "Muestre m\u00e1s", + "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.page_title.agproduct.departments.land_harvested": "", + "graph_builder.page_title.agproduct.departments.land_sown": "", + "graph_builder.page_title.agproduct.departments.production_tons": "", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "", + "graph_builder.page_title.agproduct.municipalities.land_sown": "", + "graph_builder.page_title.agproduct.municipalities.production_tons": "", + "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.departments.employment": "\u00bfQu\u00e9 departamentos en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.departments.wages": "\u00bfQu\u00e9 departamentos en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.occupations.num_vacancies": "\u00bfQu\u00e9 ocupaciones demanda este sector?", + "graph_builder.page_title.landUse.departments.area": "", + "graph_builder.page_title.landUse.municipalities.area": "", + "graph_builder.page_title.location.agproducts.land_harvested.country": "", + "graph_builder.page_title.location.agproducts.land_harvested.department": "", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "", + "graph_builder.page_title.location.agproducts.land_sown.country": "", + "graph_builder.page_title.location.agproducts.land_sown.department": "", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "", + "graph_builder.page_title.location.agproducts.production_tons.country": "", + "graph_builder.page_title.location.agproducts.production_tons.department": "", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "", + "graph_builder.page_title.location.destination_by_product.export_value.department": "\u00bfA qu\u00e9 pa\u00edses env\u00eda este departamento sus exportaciones de petr\u00f3leo?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "\u00bfDe qu\u00e9 pa\u00edses recibe este departamento sus importaciones de veh\u00edculos?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "", + "graph_builder.page_title.location.farmtypes.num_farms.department": "", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "", + "graph_builder.page_title.location.industries.employment.country": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en Colombia?", + "graph_builder.page_title.location.industries.employment.department": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este departamento?", + "graph_builder.page_title.location.industries.employment.msa": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en esta ciudad?", + "graph_builder.page_title.location.industries.employment.municipality": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este municipio?", + "graph_builder.page_title.location.industries.scatter.country": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este departamento?", + "graph_builder.page_title.location.industries.scatter.msa": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en esta ciudad?", + "graph_builder.page_title.location.industries.scatter.municipality": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este municipio?", + "graph_builder.page_title.location.industries.similarity.country": "\u00bfC\u00f3mo es el mapa de los sectores de Colombia?", + "graph_builder.page_title.location.industries.similarity.department": "\u00bfC\u00f3mo es el mapa de los sectores de este departamento?", + "graph_builder.page_title.location.industries.similarity.msa": "\u00bfC\u00f3mo es el mapa de los sectores de esta ciudad?", + "graph_builder.page_title.location.industries.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los sectores de este municipio?", + "graph_builder.page_title.location.industries.wages.country": "\u00bfQu\u00e9 sectores en Colombia tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.department": "\u00bfQu\u00e9 sectores en este departamento tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.msa": "\u00bfQu\u00e9 sectores en esta ciudad tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.municipality": "\u00bfQu\u00e9 sectores en este municipio tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.landUses.area.country": "", + "graph_builder.page_title.location.landUses.area.department": "", + "graph_builder.page_title.location.landUses.area.municipality": "", + "graph_builder.page_title.location.livestock.num_farms.country": "", + "graph_builder.page_title.location.livestock.num_farms.department": "", + "graph_builder.page_title.location.livestock.num_farms.municipality": "", + "graph_builder.page_title.location.livestock.num_livestock.country": "", + "graph_builder.page_title.location.livestock.num_livestock.department": "", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "", + "graph_builder.page_title.location.partners.export_value.country": "\u00bfA qu\u00e9 pa\u00edses exporta Colombia?", + "graph_builder.page_title.location.partners.export_value.department": "\u00bfA qu\u00e9 pa\u00edses exporta este departamento?", + "graph_builder.page_title.location.partners.export_value.msa": "\u00bfA qu\u00e9 pa\u00edses exporta esta ciudad?", + "graph_builder.page_title.location.partners.export_value.municipality": "\u00bfA qu\u00e9 pa\u00edses exporta este municipio?", + "graph_builder.page_title.location.partners.import_value.country": "\u00bfDe d\u00f3nde vienen las importaciones de Colombia?", + "graph_builder.page_title.location.partners.import_value.department": "\u00bfDe d\u00f3nde vienen las importaciones de este departamento?", + "graph_builder.page_title.location.partners.import_value.msa": "\u00bfDe d\u00f3nde vienen las importaciones de esta ciudad?", + "graph_builder.page_title.location.partners.import_value.municipality": "\u00bfDe d\u00f3nde vienen las importaciones de este municipio?", + "graph_builder.page_title.location.products.export_value.country": "\u00bfQu\u00e9 productos exporta Colombia?", + "graph_builder.page_title.location.products.export_value.department": "\u00bfQu\u00e9 productos exporta este departamento?", + "graph_builder.page_title.location.products.export_value.msa": "\u00bfQu\u00e9 productos exporta esta ciudad?", + "graph_builder.page_title.location.products.export_value.municipality": "\u00bfQu\u00e9 productos exporta este municipio?", + "graph_builder.page_title.location.products.import_value.country": "\u00bfQu\u00e9 productos importa Colombia?", + "graph_builder.page_title.location.products.import_value.department": "\u00bfQu\u00e9 productos importa este departamento?", + "graph_builder.page_title.location.products.import_value.msa": "\u00bfQu\u00e9 productos importa esta ciudad?", + "graph_builder.page_title.location.products.import_value.municipality": "\u00bfQu\u00e9 productos importa este municipio?", + "graph_builder.page_title.location.products.scatter.country": "\u00bfQu\u00e9 productos tienen el mayor potencial para Colombia?", + "graph_builder.page_title.location.products.scatter.department": "\u00bfQu\u00e9 productos tienen el mayor potencial para este departamento?", + "graph_builder.page_title.location.products.scatter.msa": "\u00bfQu\u00e9 productos tienen el mayor potencial para esta ciudad?", + "graph_builder.page_title.location.products.scatter.municipality": "\u00bfQu\u00e9 productos tienen el mayor potencial para este municipio?", + "graph_builder.page_title.location.products.similarity.country": "\u00bfC\u00f3mo es el mapa de los productos de Colombia?", + "graph_builder.page_title.location.products.similarity.department": "\u00bfC\u00f3mo es el mapa de los productos de este departamento?", + "graph_builder.page_title.location.products.similarity.msa": "\u00bfC\u00f3mo es el mapa de los productos de esta ciudad?", + "graph_builder.page_title.location.products.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los productos de este municipio?", + "graph_builder.page_title.product.cities.export_value": "\u00bfQu\u00e9 ciudades en Colombia exportan este producto?", + "graph_builder.page_title.product.cities.import_value": "\u00bfQu\u00e9 ciudades en Colombia importan este producto?", + "graph_builder.page_title.product.departments.export_value": "\u00bfQu\u00e9 departamentos en Colombia exportan este producto?", + "graph_builder.page_title.product.departments.import_value": "\u00bfQu\u00e9 departamentos en Colombia importan este producto?", + "graph_builder.page_title.product.partners.export_value": "\u00bfA d\u00f3nde exporta Colombia este producto?", + "graph_builder.page_title.product.partners.export_value.destination": "\u00bfA qu\u00e9 pa\u00edses env\u00eda {{location}} sus exportaciones de {{product}}?", + "graph_builder.page_title.product.partners.import_value": "\u00bfDe d\u00f3nde importa Colombia este producto?", + "graph_builder.page_title.product.partners.import_value.origin": "\u00bfDe qu\u00e9 pa\u00edses recibe {{location}} sus importaciones de {{product}}?", + "graph_builder.questions.label": "Cambiar pregunta", + "graph_builder.recirc.header.industry": "Lea el perfil de este sector", + "graph_builder.recirc.header.location": "Lea el perfil de este lugar", + "graph_builder.recirc.header.product": "Lea el perfil de este producto", + "graph_builder.search.placeholder.agproducts": "", + "graph_builder.search.placeholder.cities": "Destaque una ciudad en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.departments": "Destaque un departamento en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.farmtypes": "", + "graph_builder.search.placeholder.industries": "Destaque un sector en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.landUses": "", + "graph_builder.search.placeholder.livestock": "", + "graph_builder.search.placeholder.locations": "Destaque un lugar en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.municipalities": "", + "graph_builder.search.placeholder.occupations": "Destaque una ocupaci\u00f3n en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.partners": "Resaltar socios comerciales en la gr\u00e1fica inferior", + "graph_builder.search.placeholder.products": "Destaque un producto en el gr\u00e1fico siguiente", + "graph_builder.search.submit": "Destacar", + "graph_builder.settings.change_time": "Cambiar per\u00edodo", + "graph_builder.settings.close_settings": "Archive y cierre", + "graph_builder.settings.label": "Cambiar caracter\u00edsticas", + "graph_builder.settings.rca": "Ventaja comparativa revelada", + "graph_builder.settings.rca.all": "Todo", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "a", + "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year.next": "Siguiente", + "graph_builder.settings.year.previous": "Anterior", + "graph_builder.table.agproduct": "", + "graph_builder.table.area": "", + "graph_builder.table.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.table.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.table.code": "C\u00f3digo", + "graph_builder.table.cog": "Valor estrat\u00e9gico", + "graph_builder.table.coi": "Complejidad exportadora potencial", + "graph_builder.table.complexity": "Complejidad", + "graph_builder.table.country": "Pa\u00eds", + "graph_builder.table.distance": "Distancia", + "graph_builder.table.eci": "Complejidad exportadora", + "graph_builder.table.employment": "Empleo", + "graph_builder.table.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.table.export": "Exportaci\u00f3n", + "graph_builder.table.export_num_plants": "N\u00famero de empresas", + "graph_builder.table.export_rca": "Ventaja comparativa revelada", + "graph_builder.table.export_value": "Exportaciones, USD", + "graph_builder.table.farmtype": "", + "graph_builder.table.gdp_pc_real": "PIB per c\u00e1pita", + "graph_builder.table.gdp_real": "PIB", + "graph_builder.table.import_value": "Importaciones, USD", + "graph_builder.table.industry": "Sector", + "graph_builder.table.industry_coi": "Complejidad sectorial potencial", + "graph_builder.table.industry_eci": "Complejidad sectorial", + "graph_builder.table.land_harvested": "", + "graph_builder.table.land_sown": "", + "graph_builder.table.land_use": "", + "graph_builder.table.less_than_5": "Menos de 5", + "graph_builder.table.livestock": "", + "graph_builder.table.location": "Lugar", + "graph_builder.table.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.table.name": "Nombre", + "graph_builder.table.num_establishments": "N\u00famero de empresas", + "graph_builder.table.num_farms": "", + "graph_builder.table.num_livestock": "", + "graph_builder.table.num_vacancies": "Vacantes", + "graph_builder.table.occupation": "Ocupaci\u00f3n", + "graph_builder.table.parent": "Grupo", + "graph_builder.table.parent.country": "Regi\u00f3n", + "graph_builder.table.population": "Poblaci\u00f3n", + "graph_builder.table.production_tons": "", + "graph_builder.table.rca": "Ventaja comparativa revelada", + "graph_builder.table.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.table.share": "Participaci\u00f3n", + "graph_builder.table.wages": "N\u00f3mina salarial total, Col$ (miles)", + "graph_builder.table.year": "A\u00f1o", + "graph_builder.table.yield_index": "", + "graph_builder.table.yield_ratio": "", + "graph_builder.view_more": "Muestre m\u00e1s", + "header.destination": "Destino", + "header.destination_by_products": "Destinos por productos", + "header.employment": "Empleo", + "header.export": "Exportaciones", + "header.import": "Importaciones", + "header.industry": "Sectores", + "header.industry_potential": "Potencial", + "header.industry_space": "Mapa de los sectores ", + "header.landUse": "", + "header.land_harvested": "", + "header.land_sown": "", + "header.occupation": "Ocupaciones", + "header.occupation.available_jobs": "Vacantes anunciadas", + "header.origin": "Origen", + "header.origin_by_products": "Origen por productos", + "header.overview": "Resumen", + "header.partner": "Socios comerciales", + "header.product": "Productos ", + "header.product_potential": "Potencial", + "header.product_space": "Mapa de los productos", + "header.production_tons": "", + "header.region": "Por departamento", + "header.subregion": "Por ciudad", + "header.subsubregion": "", + "header.wage": "N\u00f3mina total", + "index.builder_cta": "Explore las gr\u00e1ficas sobre el caf\u00e9", + "index.builder_head": "Luego vaya al graficador", + "index.builder_subhead": "Haga sus propios gr\u00e1ficos y mapas", + "index.complexity_caption": "\u00bfQu\u00e9 tan bueno es este enfoque? Las predicciones de crecimiento basadas en la complejidad son seis veces m\u00e1s preocsas que las basadas en variables convencionales, como los \u00cdndice de Competitividad Mundial. ", + "index.complexity_cta": "Lea m\u00e1s sobre los conceptos de complejidad", + "index.complexity_figure.WEF_name": "\u00cdndice de Competitividad Mundial", + "index.complexity_figure.complexity_name": "\u00cdndice de complejidad econ\u00f3mica", + "index.complexity_figure.head": "Crecimiento econ\u00f3mico explicado (% de la varianza decenal)", + "index.complexity_head": "La ventaja de la complejidad", + "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", + "index.country_profile": "Lea el perfil de Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Avizorando el futuro", + "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", + "index.graphbuilder.id": "87", + "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_head": "Colombia como usted nunca la ha visto", + "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.industry_head": "Ent\u00e9rese de un sector", + "index.industry_q1": "\u00bfD\u00f3nde emplea m\u00e1s gente la industria qu\u00edmica en Colombia?", + "index.industry_q1.id": "461", + "index.industry_q2": "\u00bfQu\u00e9 ocupaciones demanda la industria qu\u00edmica?", + "index.industry_q2.id": "461", + "index.location_head": "Aprenda sobre un lugar", + "index.location_q1": "\u00bfQu\u00e9 sectores emplean m\u00e1s gente en Bogot\u00e1 Met?", + "index.location_q1.id": "41", + "index.location_q2": "\u00bfQu\u00e9 exportaciones tienen el mayor potencial en Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "Vea todas las preguntas", + "index.present_head": "Mapeando el presente", + "index.present_subhead": "Utilice nuestros diagramas de composici\u00f3n para estudiar las exportaciones o el empleo formal de su departamento, su ciudad o su municipio.", + "index.product_head": "Aprenda sobre un producto de exportaci\u00f3n", + "index.product_q1": "\u00bfQu\u00e9 lugares de Colombia exportan computadores?", + "index.product_q1.id": "1143", + "index.product_q2": "\u00bfQu\u00e9 lugares de Colombia importan computadores?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Lea el perfil de Antioquia", + "index.profiles_head": "Comience por los perfiles", + "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", + "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Investigaci\u00f3n mencionada en", + "industry.show.avg_wages": "Salarios promedio ({{year}})", + "industry.show.employment": "Empleo ({{year}})", + "industry.show.employment_and_wages": "Empleo formal y salarios", + "industry.show.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "industry.show.industries": "Sectores", + "industry.show.industry_composition": "Composici\u00f3n del sector ({{year}})", + "industry.show.occupation": "Ocupaciones", + "industry.show.occupation_demand": "Ocupaciones m\u00e1s demandadas en este sector, 2014", + "industry.show.value": "Valor", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "departamento", + "location.model.msa": "ciudad", + "location.model.municipality": "municipio", + "location.show.ag_farmsize": "", + "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", + "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", + "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.eci": "Complejidad exportadora", + "location.show.employment": "Empleo total ({{lastYear}})", + "location.show.employment_and_wages": "Empleo formal y salarios", + "location.show.export_possiblities": "Posibilidades de exportaci\u00f3n", + "location.show.export_possiblities.footer": "Los productos indicados pueden no ser viables debido a condiciones del lugar que no se consideran en el an\u00e1lisis de similitud tecnol\u00f3gica.", + "location.show.export_possiblities.intro": "Hemos encontrado que los pa\u00edses que exportan productos m\u00e1s complejos crecen m\u00e1s r\u00e1pido. Usando el \"mapa del producto\" presentado arriba, estamos destacando productos de alto potencial para {{name}}, ordenados por las mejores combinaciones de complejidad actual y valor estrat\u00e9gico.", + "location.show.exports": "Exportaciones ({{year}})", + "location.show.exports_and_imports": "Exportaciones e importaciones", + "location.show.gdp": "PIB", + "location.show.gdp_pc": "PIB per c\u00e1pita", + "location.show.growth_annual": "Tasa de crecimiento ({{yearRange}})", + "location.show.imports": "Importaciones ({{year}})", + "location.show.nonag_farmsize": "", + "location.show.overview": "", + "location.show.population": "Poblaci\u00f3n", + "location.show.subregion.exports": "Composici\u00f3n de exportaciones por municipio ({{year}})", + "location.show.subregion.imports": "Composici\u00f3n de importaciones por municipio ({{year}})", + "location.show.subregion.title": "Exportaciones e importaciones por municipio", + "location.show.total_wages": "N\u00f3mina salarial ({{lastYear}})", + "location.show.value": "Valor", + "pageheader.about": "Acerca de Datlas", + "pageheader.alternative_title": "Atlas de complejidad econ\u00f3mica", + "pageheader.brand_slogan": "Colombia como usted nunca la ha visto", + "pageheader.download": "Acerca de los datos", + "pageheader.graph_builder_link": "Graficador", + "pageheader.profile_link": "Perfil", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Buscar", + "pageheader.search_placeholder": "Busque un lugar, producto o sector", + "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.location": "Busque un lugar", + "pageheader.search_placeholder.product": "Busque un producto", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explicaci\u00f3n", + "rankings.intro.p": "Comparaci\u00f3n entre departamentos o ciudades", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Ciudades", + "rankings.section.departments": "Departamentos", + "rankings.table-title": "Posici\u00f3n", + "search.didnt_find": "\u00bfEncontr\u00f3 lo que buscaba? Nos interesa saber: Datlascolombia@bancoldex.com", + "search.header": "resultados", + "search.intro": "Busque el lugar, producto, sector u ocupaci\u00f3n que le interese", + "search.level.4digit": "Partida arancelaria (1992) a cuatro d\u00edgitos", + "search.level.class": "CIIU a cuatro d\u00edgitos", + "search.level.country": "Pa\u00eds", + "search.level.department": "Departamento", + "search.level.division": "CIIU a dos d\u00edgitos", + "search.level.msa": "Ciudad", + "search.level.municipality": "Municipio", + "search.level.parent.4digit": "Partida arancelaria (1992) a dos d\u00edgitos", + "search.level.parent.class": "CIIU a dos d\u00edgitos", + "search.level.parent.country": "Regi\u00f3n", + "search.placeholder": "Escriba aqu\u00ed para buscar lo que quiere", + "search.results_industries": "Sectores", + "search.results_locations": "Lugares", + "search.results_products": "Productos", + "table.export_data": "Descargar Datos", + "thousands_delimiter": "." +}; \ No newline at end of file diff --git a/app/locales/es-col/translations_2016.js b/app/locales/es-col/translations_2016.js new file mode 100644 index 00000000..6f4a721d --- /dev/null +++ b/app/locales/es-col/translations_2016.js @@ -0,0 +1,657 @@ +export default { + "abbr_billion": "mm", + "abbr_million": "millones", + "abbr_thousand": "miles", + "abbr_trillion": "bill", + "about.downloads.explanation.p1": "Descarque el documento que explica c\u00f3mo se calcula cada una de las variables de complejidad que utiliza Datlas.", + "about.downloads.explanation.title": "M\u00e9todos de c\u00e1lculo de las variables de complejidad", + "about.downloads.locations": "Listas de departmentos, ciudades (incluyendo \u00e1reas metropolitanas) y municipios", + "about.glossary": "

V\u00e9ase la p\u00e1gina \"Acerca de los datos\" para m\u00e1s informaci\u00f3n sobre fuentes, m\u00e9todos de c\u00e1lculo de las variables de complejidad y bases de datos descargables.

\u00c1reas metropolitanas

Un \u00e1rea metropolitana es la combinaci\u00f3n de dos o m\u00e1s municipios que est\u00e1n conectados a trav\u00e9s de flujos relativamente grandes de trabajadores (con independencia de su tama\u00f1o o contig\u00fcidad). Un municipio debe enviar al menos un 10% de sus trabajadores como viajeros diarios al resto de los municipios del \u00e1rea metropolitana para considerarse como parte de dicha \u00e1rea.

Con base en esta definici\u00f3n hay 19 \u00e1reas metropolitanas en Colombia, que comprenden 115 municipios. Las \u00e1reas metropolitanas resultantes son distintas de las oficiales. Se sigue la metodolog\u00eda de G. Duranton ( 2013): \"Delineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\" Wharton School, University of Pennsylvania.

Ciudades

Son las \u00e1reas metropolitanas y los municipios de m\u00e1s de 50.000 habitantes con al menos 75% de poblaci\u00f3n en la cabecera municipal. En total hay 62 ciudades (19 \u00e1reas metropolitanas que comprenden 115 municipios, m\u00e1s 43 ciudades de un solo municipio). El concepto de ciudad es relevante porque Datlas presenta indicadores de complejidad por departamento y por ciudad, pero no por municipio.

Complejidad

Complejidad es la diversidad y sofisticaci\u00f3n del \"know-how\" que se requiere para producir algo. El concepto de complejidad es central en Datlas porque la productividad y el crecimiento de cualquier lugar dependen de que las empresas puedan producir y exportar con \u00e9xito bienes y servicios que requieren capacidades y conocimientos m\u00e1s complejos, es decir m\u00e1s diversos y exclusivos. La complejidad puede medirse para un lugar, para un producto de exportaci\u00f3n, o para un sector.

Complejidad potencial de un lugar

Mide el potencial de aumento de la complejidad de un lugar. Tiene en cuenta el nivel de complejidad de todos los sectores productivos (o productos de exportaci\u00f3n), junto con la \"distancia\" a los dem\u00e1s sectores (o productos). Con esta informaci\u00f3n mide la probabilidad de que aparezcan nuevos sectores (o exportaciones) y qu\u00e9 tanto elevar\u00edan la complejidad del lugar. Valores m\u00e1s altos indican que es m\u00e1s probable desarrollar nuevos sectores (o productos) m\u00e1s complejos que los que ya se tienen.

La complejidad potencial basada en sectores se calcula para los departamentos y ciudades, no para los dem\u00e1s municipios. La complejidad potencial basada en las exportaciones se calcula solamente por departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

DANE

DANE es el Departamento Administrativo Nacional de Estad\u00edstica de Colombia, fuente de todos los datos sobre el PIB y la poblaci\u00f3n que utiliza Datlas.

DIAN

DIAN es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, fuente de toda la informaci\u00f3n sobre exportaciones e importaciones de Datlas.

Distancia a un sector o exportaci\u00f3n en un lugar

La \"distancia\" es una medida de la capacidad de un lugar para desarrollar un sector o una exportaci\u00f3n espec\u00edfica, teniendo en cuenta las capacidades productivas existentes. La \"distancia\" es menor en la medida en que las capacidades requeridas por un sector o exportaci\u00f3n son m\u00e1s similares a las ya existentes. En esa medida ser\u00e1n mayores las posibilidades de que desarrolle con \u00e9xito el sector o exportaci\u00f3n. Visto de otra forma, la distancia refleja la proporci\u00f3n del conocimiento productivo que se necesita para que aparezca un sector o exportaci\u00f3n que a\u00fan no existe en el lugar.

Las distancias por sectores productivos se calculan solamente para los departamentos y ciudades, no para los dem\u00e1s municipios. Las distancias para las exportaciones se calculan solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Diversidad

Es una medida de cu\u00e1ntos productos diferentes puede hacer un lugar. La producci\u00f3n de un bien cualquiera requiere un conjunto espec\u00edfico de capacidades; por consiguiente la diversidad es otra forma de expresar la cantidad de conocimiento productivo de un lugar.

Empleo, salarios y tasa de empleo formal

El empleo formal es aquel que est\u00e1 cubierto por el sistema de seguridad social en salud y/o por el sistema de pensiones. No incluye trabajadores independientes. El empleo formal reportado es el n\u00famero de empleados formales en un mes promedio. La tasa de formalidad es el empleo formal dividido por la poblaci\u00f3n mayor de 15 a\u00f1os. Los datos de empleo y salarios provienen de la PILA del Ministerio de Salud. Los datos de poblaci\u00f3n son del DANE.

Empresas, n\u00famero de

El conteo de empresas con actividad productiva por lugar (municipio, departamento, nacional) se hizo teniendo en cuenta todas aquellas empresas registradas en la PILA que hicieron alg\u00fan aporte a la seguridad social para sus empleados en el a\u00f1o de referencia (aunque no hayan estado en operaci\u00f3n todo el a\u00f1o).

El conteo de empresas exportadoras o importadoras se hizo por municipio y producto teniendo en cuenta cualquier empresa que seg\u00fan la DIAN hubiera realizado alguna operaci\u00f3n en el a\u00f1o de referencia (por consiguiente, el conteo de empresas exportadoras o importadoras de un producto por departamento o para todo el pa\u00eds puede tener duplicaciones).

\u00cdndice de Complejidad del Producto (ICP)

Ordena los productos de exportaci\u00f3n seg\u00fan qu\u00e9 tantas capacidades productivas se requieren para su fabricaci\u00f3n. Productos complejos de exportaci\u00f3n, tales como qu\u00edmicos y maquinaria, requieren un nivel sofisticado y diverso de conocimientos que s\u00f3lo se consigue con la interacci\u00f3n en empresas de muchos individuos con conocimientos especializados. Esto contrasta con las exportaciones de baja complejidad, como el caf\u00e9, que requieren apenas conocimientos productivos b\u00e1sicos que se pueden reunir en una empresa familiar. Para calcular la complejidad de los productos de exportaci\u00f3n se utilizan datos de Comtrade de las Naciones Unidas para cerca de 200 pa\u00edses.

\u00cdndice de Complejidad Econ\u00f3mica (ICE)

Una medida de la sofisticaci\u00f3n de las capacidades productivas de un lugar basada en la diversidad y la ubicuidad de sus sectores productivos o sus exportaciones. Un lugar con alta complejidad produce o exporta bienes y servicios que pocos otros lugares producen. Lugares altamente complejos tienden a ser m\u00e1s productivos y a generar mayores salarios e ingresos. Los pa\u00edses con canastas de exportaci\u00f3n m\u00e1s sofisticadas de lo que se espera para su nivel de ingresos (como China) tienden a crecer m\u00e1s r\u00e1pido que aquellos en los que es todo lo contrario (como Grecia).

El ICE basado en los sectores productivos (o \u00edndice de complejidad productiva) se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. La ICE basado en las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la estructura de las exportaciones es inestable y/o poco representativa).

\u00cdndice de Complejidad del Sector (ICS)

Es una medida de qu\u00e9 tantas capacidades productivas requieren un sector para operar. El ICS y el \u00cdndice de Complejidad del Producto (ICP) son medidas estrechamente relacionadas, pero se calculan en forma separada con datos y sistemas de clasificaci\u00f3n independientes, ya que la complejidad del producto se calcula solo para mercanc\u00edas comercializables internacionalmente, mientras que los sectores productivos comprenden todos los sectores que generan empleo, incluidos todos los servicios y el sector p\u00fablico. Un sector es complejo si requiere un nivel sofisticado de conocimientos productivos, como los servicios financieros y los sectores farmac\u00e9uticos, en donde trabajan en grandes empresas muchos individuos con conocimientos especializados distintos. La complejidad de un sector se mide calculando la diversidad promedio de los lugares donde existe el sector y la ubicuidad promedio de los sectores de esos lugares. Los datos de empleo formal necesarios para estos c\u00e1lculos provienen de la PILA del Ministerio de Salud.

\u00cdndices de rendimiento

Un \u00edndice de rendimiento (para cualquier producto y ubicaci\u00f3n) es el rendimiento dividido por el rendimiento a nivel nacional. Los \u00edndices de rendimiento para m\u00e1s de un producto (por ubicaci\u00f3n) se calculan como el promedio ponderado de los \u00edndices de rendimiento de los productos, donde las ponderaciones son el \u00e1rea cosechada por cada producto.

Mapa de similitud tecnol\u00f3gica de productos de exportaci\u00f3n (o mapa de los productos)

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos para la exportaci\u00f3n de unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Aparecen con color los productos de exportaci\u00f3n que se exportan con ventaja comparativa revelada mayor que uno. Cuando se selecciona un producto, el gr\u00e1fico destaca los productos que requieren capacidades productivas semejantes. Un producto con m\u00e1s enlaces con otros que no se exportan ofrece mayor potencial para la diversificaci\u00f3n exportadora a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el producto tiene un alto potencial para elevar la complejidad del lugar.

El mapa de similitud de los productos se basa en los datos de comercio internacional de 192 pa\u00edses en m\u00e1s de 50 a\u00f1os compilados por Comtrade. Ver http://atlas.cid.harvard.edu/.

Mapa de similitud de los sectores productivos de Colombia

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores u otros. Cada punto representa un sector y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Aparecen con color los sectores con ventaja comparativa revelada mayor que uno. Cuando se selecciona un lugar, el gr\u00e1fico destaca los sectores que requieren capacidades productivas semejantes. Un sector con m\u00e1s enlaces con sectores que no existen ofrece mayor potencial para la diversificaci\u00f3n productiva a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el sector tiene un alto potencial para elevar la complejidad del lugar. El mapa de los sectores productivos de Colombia fue construido a partir de la informaci\u00f3n de empleo formal por municipio de la PILA del Ministerio de Salud.

Ocupaciones

Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos sobre las ocupaciones (salarios ofrecidos, estructura ocupacional por sector y nivel educativo por ocupaci\u00f3n) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Los datos fueron procesados por Jeisson Arley Rubio C\u00e1rdenas (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Escuela de Econom\u00eda de Par\u00eds).

PILA

PILA es la Planilla Integrada de Aportes Laborales del Ministerio de Salud. Es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector.

Productos de exportaci\u00f3n e importaci\u00f3n: sistema de clasificaci\u00f3n

El sistema de clasificaci\u00f3n de los productos de exportaci\u00f3n e importaci\u00f3n de Datlas es la nomenclatura arancelaria NABANDINA, la cual calza a seis d\u00edgitos con la clasificaci\u00f3n internacional del Sistema Armonizado (SA). Datlas presenta informaci\u00f3n de productos (de exportaci\u00f3n e importaci\u00f3n) a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la DIAN.

Rendimiento

Para cualquier producto y ubicaci\u00f3n, la productividad del suelo es el rendimiento en toneladas por hect\u00e1rea de tierra cosechada. Para los cultivos transitorios el c\u00e1lculo de producci\u00f3n anual se obtiene a partir de la suma de la producci\u00f3n del \u00faltimo semestre del a\u00f1o anterior y el primer semestre del a\u00f1o de an\u00e1lisis; en contraste, para los cultivos permanentes (perennes) el c\u00e1lculo se realiza con la informaci\u00f3n de ambos semestres del a\u00f1o de an\u00e1lisis. La informaci\u00f3n de \u00e1rea cosechada y producci\u00f3n se obtiene de las Evaluaciones Agropecuarias Municipales -EVA- publicadas en Agronet por el Ministerio de Agricultura y Desarrollo Rural.

Sectores productivos: sistema de clasificaci\u00f3n

La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). Datlas presenta informaci\u00f3n sectorial a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la PILA. Siguiendo las convenciones de la contabilidad nacional, los trabajadores contratados por agencias de empleo temporal se clasifican en el sector de suministro de personal (7491), no en el sector de la empresa donde prestan servicios.

Ubicuidad

Una medida del n\u00famero de lugares que pueden producir un producto.

UPAs y UPNAs

Las unidades de producci\u00f3n rural se clasifican seg\u00fan el Censo Nacional Agropecuario del DANE (2014) en \"unidades de producci\u00f3n agropecuaria\", o UPAs, y \"unidades de producci\u00f3n no agropecuarias\", o UPNAs. Mientras que la producci\u00f3n agropecuaria (que incluye actividades agr\u00edcolas, forestales, pecuarias, acu\u00edcolas y/o pesqueras) s\u00f3lo puede tener lugar en UPAs, tanto UPAs como UPNAs pueden tener actividades de producci\u00f3n no agropecuarias.

Valor estrat\u00e9gico de un sector o una exportaci\u00f3n para un lugar

Capta en qu\u00e9 medida un lugar podr\u00eda beneficiarse mediante el desarrollo de un sector en particular (o un producto de exportaci\u00f3n). Tambi\u00e9n conocida como \"ganancia de oportunidad\", esta medida representa la distancia a todos los otros sectores (o exportaciones) que un lugar no produce actualmente con ventaja comparativa revelada mayor que uno y su respectiva complejidad. Refleja c\u00f3mo un nuevo sector (o exportaci\u00f3n) puede abrir paso a otros sectores o productos m\u00e1s complejos. El valor estrat\u00e9gico de los sectores productivos se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. El valor estrat\u00e9gico de las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Ventaja Comparativa Revelada (VCR) de un sector o una exportaci\u00f3n en un lugar

Mide el tama\u00f1o relativo de un sector o un producto de exportaci\u00f3n en un lugar. La VCR, que no debe interpretarse como un indicador de eficiencia productiva o de competitividad, se conoce tambi\u00e9n por el nombre de \"cociente de localizaci\u00f3n\". Se calcula como el cociente entre la participaci\u00f3n del empleo formal de un sector en el lugar y la participaci\u00f3n del empleo formal total del mismo sector en todo el pa\u00eds. Por ejemplo, si la industria qu\u00edmica en una ciudad genera el 10% del empleo, mientras que en todo el pa\u00eds genera el 1% del empleo, la VCR de la industria qu\u00edmica en dicha ciudad es 10. Para una exportaci\u00f3n es la relaci\u00f3n entre la participaci\u00f3n que tiene el producto en la canasta de exportaci\u00f3n del lugar y la participaci\u00f3n que tiene en el comercio mundial. Si esta relaci\u00f3n es mayor que 1, se dice que el lugar tiene ventaja comparativa revelada en el sector o en la exportaci\u00f3n. Por ejemplo, si el caf\u00e9 representa el 30% de las exportaciones de un departamento colombiano, pero da cuenta apenas del 0.3% del comercio mundial, entonces la VCR del departamento en caf\u00e9 es 100.

", + "about.glossary_name": "Glosario", + "about.project_description.cid.header": "El CID y el Laboratorio de Crecimiento ", + "about.project_description.cid.p1": "Este proyecto ha sido desarrollado por el Centro para el Desarrollo Internacional de la Universidad de Harvard (CID), bajo la direcci\u00f3n del profesor Ricardo Hausmann", + "about.project_description.cid.p2": "El CID tiene por objetivos avanzar en la comprensi\u00f3n de los desaf\u00edos del desarrollo y ofrecer soluciones viables para reducir la pobreza mundial. El Laboratorio de Crecimiento es uno de los principales programas de investigaci\u00f3n del CID.", + "about.project_description.contact.header": "Informaci\u00f3n de contacto", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex, el banco de desarrollo empresarial de Colombia, est\u00e1 comprometido con el desarrollo de instrumentos financieros y no financieros orientados a mejorar la competitividad, la productividad, el crecimiento y la internacionalizaci\u00f3n de las empresas colombianas. Aprovechando su posici\u00f3n de mercado y su capacidad para establecer relaciones empresariales, Banc\u00f3ldex gestiona activos financieros, desarrolla soluciones de acceso a la financiaci\u00f3n y ofrece soluciones de capital innovadoras que fomentan y aceleran el crecimiento empresarial. Adem\u00e1s de ofrecer pr\u00e9stamos tradicionales, Banc\u00f3ldex ha sido designado para ejecutar varios programas de desarrollo tales como el Programa de Transformaci\u00f3n Productiva, iNNpulsa Colombia, iNNpulsa Mipyme y la Banca de las Oportunidades. Todos ellos conforman una oferta integrada de servicios para promover el entorno empresarial colombiano y la competitividad. Datlas es parte del Programa de Transformaci\u00f3n Productiva y la iniciativas INNpulsa Colombia.", + "about.project_description.founder2.header": "Departamento Nacional de Planeaci\u00f3n", + "about.project_description.founder2.p": "Departamento Nacional de Planeaci\u00f3n - DNP es un Departamento Administrativo que pertenece a la Rama Ejecutiva del poder p\u00fablico y depende directamente de la Presidencia de la Rep\u00fablica. Es una entidad eminentemente t\u00e9cnica que impulsa la implantaci\u00f3n de una visi\u00f3n estrat\u00e9gica del pa\u00eds en los campos social, econ\u00f3mico y ambiental, a trav\u00e9s del dise\u00f1o, la orientaci\u00f3n y evaluaci\u00f3n de las pol\u00edticas p\u00fablicas colombianas, el manejo y asignaci\u00f3n de la inversi\u00f3n p\u00fablica y la concreci\u00f3n de las mismas en planes, programas y proyectos del Gobierno.", + "about.project_description.founder3.header": "Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.founder3.p": "Creada en 1953, la Fundaci\u00f3n Mario Santo Domingo (FMSD) es una organizaci\u00f3n sin fines de lucro dedicada a la implementaci\u00f3n de programas de desarrollo comunitario en Colombia. FMSD concentra sus principales esfuerzos en la construcci\u00f3n de viviendas asequibles dentro de un modelo de desarrollo comunitario llamado Desarrollo Integral de Comunidades Sustentables, dise\u00f1ado por el FMSD como respuesta al gran d\u00e9ficit de vivienda en Colombia. A trav\u00e9s de este programa, el FMSD proporciona apoyo social a las familias, as\u00ed como infraestructura social y urbana para los menos privilegiados. FMSD tambi\u00e9n contribuye al desarrollo empresarial de la regi\u00f3n Norte de Colombia y de Bogot\u00e1 a trav\u00e9s de su Unidad de Microfinanzas, que ofrece capacitaci\u00f3n y servicios financieros como el microcr\u00e9dito. M\u00e1s de 130.000 empresarios han recibido pr\u00e9stamos de la Fundaci\u00f3n desde su lanzamiento en 1984. FMSD tambi\u00e9n trabaja en identificar alianzas y sinergias entre los sectores p\u00fablico y privado en las \u00e1reas de desarrollo social cr\u00edticos, como la primera infancia, la sostenibilidad ambiental, la atenci\u00f3n de desastres, la educaci\u00f3n y la salud.", + "about.project_description.founders.header": "Entidades Patrocinadoras", + "about.project_description.founders.p": "Este proyecto es financiado por Banc\u00f3ldex y la Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.github": "Revise nuestro c\u00f3digo", + "about.project_description.intro.p1": "En Colombia, las diferencias de ingresos entre regiones son enormes y han ido creciendo: las nuevas oportunidades de empleo se concentran cada vez m\u00e1s en las \u00e1reas metropolitanas de Bogot\u00e1, Medell\u00edn y Cali, aparte de los lugares donde se extraen petr\u00f3leo y otros minerales. El ingreso promedio de los residentes de Bogot\u00e1 es cuatro veces el de los colombianos que viven en los 12 departamentos m\u00e1s pobres.", + "about.project_description.intro.p2": "Datlas es una herramienta de diagn\u00f3stico para que las empresas, los inversionistas y las autoridades de gobierno puedan tomar decisiones que ayuden a elevar la productividad. Contiene informaci\u00f3n por departamento, \u00e1rea metropolitana y municipio sobre actividad productiva, empleo, salarios y exportaciones. Ofrece criterios para identificar los sectores y las exportaciones con potencial de crecimiento con base en la complejidad econ\u00f3mica.", + "about.project_description.intro.p3": "La complejidad econ\u00f3mica es una medida de las capacidades y conocimientos de los sectores productivos de un pa\u00eds o una ciudad. Para hacer una camisa, hay que dise\u00f1arla, producir la tela, cortar, coser, empacar el producto, comercializarlo y distribuirlo. Para que un pa\u00eds pueda producir camisas, necesita personas que tengan experiencia en cada una de estas \u00e1reas. Cada una de estas tareas implica muchas m\u00e1s capacidades de las que cualquier persona sola puede dominar. S\u00f3lo mediante la combinaci\u00f3n de know-how de diferentes personas puede hacerse el producto. El camino hacia el desarrollo econ\u00f3mico consiste en aprender a hacer cosas m\u00e1s sofisticadas. El juego de Scrabble puede servir de analog\u00eda: el jugador que tiene un mayor n\u00famero de letras variadas puede hacer m\u00e1s palabras y conseguir m\u00e1s puntos. Los pa\u00edses con una mayor diversidad de capacidades productivas pueden hacer una mayor diversidad de productos. El desarrollo econ\u00f3mico ocurre en la medida en que el pa\u00eds o la ciudad adquiere m\u00e1s capacidades y conocimientos para producir productos cada vez m\u00e1s complejos.", + "about.project_description.intro.p4": "Este enfoque conceptual que ha sido aplicado a nivel internacional en el Atlas de la Complejidad Econ\u00f3mica se utiliza ahora en esta herramienta en l\u00ednea para identificar las posibilidades de exportaci\u00f3n y de desarrollo sectorial de los departamentos, las \u00e1reas metropolitanas y las ciudades colombianas.", + "about.project_description.letter.header": "Bolet\u00edn de Estudios del CID", + "about.project_description.letter.p": "Inscr\u00edbase al Bolet\u00edn de Estudios del CID para mantenerse al d\u00eda con los avances de la investigaci\u00f3n y las herramientas pr\u00e1cticas en temas relacionados con la complejidad.", + "about.project_description.team.header": "El equipo acad\u00e9mico y t\u00e9cnico", + "about.project_description.team.p": "El equipo acad\u00e9mico de CID de Harvard estuvo compuesto por Ricardo Hausmann (director), Andr\u00e9s G\u00f3mez-Li\u00e9vano, Eduardo Lora y Sid Ravinutala. En fases anteriores fueron parte del equipo acad\u00e9mico Tim Cheston, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery y Juan T\u00e9llez. El equipo de programaci\u00f3n y visualizaci\u00f3n de CID de Harvard: Annie White (coordinator) and Mali Akmanalp. En fases anteriores fueron parte del equipo de programaci\u00f3n y visualizaci\u00f3n Katy Harris, Quinn Lee, Greg Shapiro, Romain Vuillemot and Gus Wezerek. La recopilaci\u00f3n y procesamiento de los datos de vacantes laborales estuvo a cargo de Jeisson Arley C\u00e1rdenas Rubio (Institute for Employment Research \u2013IER, University of Warwick) y Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics). Actualizaciones Gustavo Montes y Oscar Hern\u00e1ndez (Banc\u00f3ldex).", + "about.project_description_name": "Acerca de Datlas", + "census_year": "2014", + "country.show.ag_farmsize": "45.99 ha", + "country.show.agproducts": "Toneladas Producidas Por Cultivo en Colombia", + "country.show.agproducts.production_tons": "Producci\u00f3n (toneladas)", + "country.show.average_livestock_load": "628", + "country.show.dotplot-column": "Departamentos de Colombia", + "country.show.eci": "0,037", + "country.show.economic_structure": "Estructura econ\u00f3mica", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 49,5 millones (a diciembre 2017), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2016 fue Col $772,4 billones, o US$253,2 miles de millones a la tasa de cambio promedio de 2016 (1 US d\u00f3lar = 3.050 pesos colombianos). En 2016, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $17.798.353 o US$5.806. Durante el a\u00f1o 2016 la econom\u00eda colombiana creci\u00f3 2%.", + "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 20,9%, seguidos por los servicios de gobierno, sociales y personales (15,4%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 25,7, 13,9 y 9,7%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", + "country.show.employment_wage_occupation.copy.p1": "Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2016 fue 8,2 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 31,7%, 17,1%, and 10,8% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", + "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", + "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", + "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", + "country.show.exports": "Exportaciones", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$32,5 miles de millones en 2016. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Panam\u00e1, China y Espa\u00f1a. En 2016, los productos minerales (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 51,7% de las exportaciones totales de bienes; los productos vegetales, alimentos y maderas 22,57%, y los quimicos y pl\u00e1sticos 9,78%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", + "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", + "country.show.gdp": "Col $756,152 bill", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Complejidad de los sectores productivos", + "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", + "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", + "country.show.industry_space": "Mapa de los sectores", + "country.show.landuses": "Uso del Suelo en Colombia", + "country.show.landuses.area": "\u00c1rea Total (ha)", + "country.show.nonag_farmsize": "4.53 ha", + "country.show.occupation.num_vac": "Vacantes anunciadas", + "country.show.population": "48,1 mill", + "country.show.product_space": "Mapa de los productos", + "country.show.total": "Totales", + "ctas.csv": "CSV", + "ctas.download": "Descargue estos datos", + "ctas.embed": "Insertar", + "ctas.excel": "Excel", + "ctas.export": "Exportar", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Compartir", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ",", + "downloads.cta_download": "Descargar", + "downloads.cta_na": "No disponible", + "downloads.head": "Acerca de los datos", + "downloads.industry_copy": "La Planilla Integrada de Aportes Laborales, PILA, del Ministerio de Salud, es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector. La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). La lista de los sectores productivos puede verse en las bases de datos descargables de sectores. Puede descargarse aqu\u00ed un archivo con la lista de los sectores productivos del CIIU los cu\u00e1les no aparecen representados en el mapa de los sectores (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.industry_head": "Datos de sectores productivos (PILA)", + "downloads.industry_row_1": "Empleo, salarios, n\u00famero de empresas e indicadores de complejidad productiva ({{yearRange}})", + "downloads.list_of_cities.header": "Listas de departamentos, ciudades y municipios", + "downloads.map.cell": "Datos del mapa", + "downloads.map.header": "Mapa", + "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", + "downloads.occupations_head": "Datos de ocupaciones", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", + "downloads.other_head": "Otros datos (DANE)", + "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", + "downloads.rural_agproduct": "Productos Agropecuarios", + "downloads.rural_copy": "

Se utilizan dos fuentes de datos: el Censo Nacional Agropecuario del DANE (2014) y la informaci\u00f3n publicada en la plataforma Agronet del Ministerio de Agricultura y Desarrollo Rural (2017).

La clasificaci\u00f3n del uso del suelo y la informaci\u00f3n de hect\u00e1reas (1 hect\u00e1rea = 10.000 metros cuadrados) provienen del Censo Nacional Agropecuario (CNA). Las unidades de producci\u00f3n agropecuaria se clasifican seg\u00fan el CNA en \"Unidades de Producci\u00f3n Agropecuaria\", o UPAs, y \"Unidades de Producci\u00f3n No Agropecuaria\", o UPNAs. Mientras que la producci\u00f3n agropecuaria (que incluye cultivos y ganado) s\u00f3lo puede tener lugar en las UPAs, tanto las UPAs como las UPNAs pueden tener actividades de producci\u00f3n no agropecuaria. La clasificaci\u00f3n de las actividades de producci\u00f3n no agropecuaria proviene del Censo y no coincide con la clasificaci\u00f3n CIIU utilizada para los sectores productivos. UPAs y UPNAs pueden ser informales (no registradas como empresas).

La informaci\u00f3n de los cultivos, que proviene del Ministerio de Agricultura y Desarrollo Rural, es para los a\u00f1os agr\u00edcolas 2008-2015 (un a\u00f1o agr\u00edcola, para un cultivo transitorio, corresponde al segundo semestre del a\u00f1o anterior y el primer semestre del a\u00f1o correspondiente). El \u00e1rea sembrada y el \u00e1rea cosechada se miden en t\u00e9rminos de hect\u00e1reas y la producci\u00f3n se mide t\u00e9rminos de toneladas m\u00e9tricas (en todos los casos, sumando los dos semestres del a\u00f1o agr\u00edcola). La productividad de la tierra (para cualquier producto y lugar) es el rendimiento en t\u00e9rminos de toneladas por hect\u00e1rea cosechada. Un \u00edndice de rendimiento (para cualquier producto y lugar) es el rendimiento dividido por el rendimiento a nivel nacional. Los \u00edndices de rendimiento para m\u00e1s de un producto (por lugar) se calculan como el promedio ponderado de los \u00edndices de rendimiento de los productos, donde los pesos son el \u00e1rea cosechada que corresponde a cada producto.

Es importante tener en cuenta que la informaci\u00f3n presentada en esta secci\u00f3n para ca\u00f1a azucarera corresponde al rendimiento (ton/ha) de material verde y no al de az\u00facar. Esto resulta debido a que existe una relaci\u00f3n de aproximadamente 10 toneladas de material verde por cada tonelada de az\u00facar.

", + "downloads.rural_farmsize": "Tama\u00f1o de UPA ", + "downloads.rural_farmtype": "Tipo de UPA", + "downloads.rural_head": "Datos rurales", + "downloads.rural_landuse": "Usos del suelo ", + "downloads.rural_livestock": "Especies Pecuarias", + "downloads.rural_nonag": "Actividades no agropecuarias", + "downloads.thead_departments": "Departamentos", + "downloads.thead_met": "Ciudades", + "downloads.thead_muni": "Municipios", + "downloads.thead_national": "Nacional", + "downloads.trade_copy": "La fuente de todos los datos sobre las exportaciones e importaciones por departamento y municipio es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, DIAN. Colombia utiliza la nomenclatura arancelaria NANDINA, la cual calza a los seis d\u00edgitos con el Sistema Armonizado (SA) de clasificaci\u00f3n internacional de productos. Eso lo estandarizamos despu\u00e9s a SA (HS) 1992 para resolver cualquier inconsistencia entre las versiones a trav\u00e9s de los a\u00f1os, de manera tal que los datos se puedan visualizar en el tiempo. La lista de partidas arancelarias puede verse en las bases de datos descargables de exportaci\u00f3n e importaci\u00f3n.

El origen de las exportaciones se establece en dos etapas. Primero, se define el departamento de origen como es el \u00faltimo lugar donde tuvieron alg\u00fan procesamiento, ensamblaje o empaque, seg\u00fan la DIAN. Luego, se distribuyen los valores entre municipios seg\u00fan la composici\u00f3n del empleo de la firma correspondiente con base en la PILA (para las firmas sin esta informaci\u00f3n se asign\u00f3 el valor total a la capital del departamento). En el caso de las exportaciones de petr\u00f3leo (2709) y gas (2711), los valores totales se distribuyeron por origen seg\u00fan la producci\u00f3n por municipios (Agencia Nacional de Hidrocarburos y Asociaci\u00f3n Colombiana de Petr\u00f3leo) y en el caso de las exportaciones de refinados de petr\u00f3leo (2710) seg\u00fan el valor agregado por municipio (sectores 2231, 2322 y 2320 CIIU revisi\u00f3n 3, Encuesta Anual Manufacturera, DANE).

Los totales de exportaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las exportaciones sin informaci\u00f3n sobre el sector del exportador y/o el departamento o municipio de origen, y (b) las exportaciones que en los datos de la DIAN tienen como destino las zonas francas; mientras que quedan incluidas: (c) las exportaciones de las zonas francas, que la DIAN no incluye en dichos totales.

De forma semejante, los totales de importaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las importaciones sin informaci\u00f3n sobre el departamento o municipio de destino, y (b) las importaciones que en los datos de la DIAN tienen como origen las zonas francas; mientras que quedan incluidas: (c) las importaciones realizadas por las zonas francas, que la DIAN no incluye en dichos totales.

El archivo que describe la correspondencia entre la versi\u00f3n del Sistema Armonizado (HS) utilizado por la DIAN y su revisi\u00f3n de 1992 puede encontrarse aqu\u00ed.

Tambi\u00e9n puede descargarse aqu\u00ed un archivo con la lista de los productos del Sistema Armonizado los cu\u00e1les no aparecen representados en el mapa del producto (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.trade_head": "Datos de exportaciones e importaciones (DIAN)", + "downloads.trade_row_1": "Exportaciones, importaciones e indicadores de complejidad ({{yearRange}})", + "downloads.trade_row_2": "Exportaciones e importaciones con origen y destino ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Productos", + "general.geo": "Mapa geogr\u00e1fico", + "general.glossary": "Glosario", + "general.industries": "Sectores", + "general.industry": "sector", + "general.location": "lugar", + "general.locations": "Lugares", + "general.multiples": "Gr\u00e1ficos de \u00e1reas", + "general.occupation": "ocupaci\u00f3n", + "general.occupations": "Ocupaciones", + "general.product": "producto", + "general.scatter": "Gr\u00e1fico de dispersi\u00f3n", + "general.similarity": "mapa de los sectores", + "general.total": "Totales", + "general.treemap": "Gr\u00e1fico de composici\u00f3n", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glosario", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.builder_mod_header.industry.cities.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Salarios mensuales promedio", + "graph_builder.builder_mod_header.industry.cities.wages": "N\u00f3mina salarial", + "graph_builder.builder_mod_header.industry.departments.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Salarios mensuales promedio", + "graph_builder.builder_mod_header.industry.departments.wages": "N\u00f3mina salarial", + "graph_builder.builder_mod_header.industry.locations.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Salarios mensuales promedio", + "graph_builder.builder_mod_header.industry.locations.wages": "N\u00f3mina salarial", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total de vacantes", + "graph_builder.builder_mod_header.landUse.departments.area": "\u00c1rea total", + "graph_builder.builder_mod_header.landUse.municipalities.area": "\u00c1rea total", + "graph_builder.builder_mod_header.livestock.departments.num_farms": "N\u00famero de UPAs", + "graph_builder.builder_mod_header.livestock.departments.num_livestock": "N\u00famero de cabezas de ganado", + "graph_builder.builder_mod_header.livestock.municipalities.num_farms": "N\u00famero de UPAs", + "graph_builder.builder_mod_header.livestock.municipalities.num_livestock": "N\u00famero de cabezas de ganado", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "\u00c1rea cosechada (hect\u00e1reas)", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "\u00c1rea sembrada (hect\u00e1reas)", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.builder_mod_header.location.agproducts.yield_ratio": "Productividad (tons/ha)", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "UPAs y UPNAs", + "graph_builder.builder_mod_header.location.industries.employment": "Empleo total", + "graph_builder.builder_mod_header.location.industries.scatter": "Complejidad, distancia y valor estrat\u00e9gico de sectores potenciales ", + "graph_builder.builder_mod_header.location.industries.similarity": "Sectores con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.location.industries.wages": "Salarios totales", + "graph_builder.builder_mod_header.location.landUses.area": "\u00c1rea total", + "graph_builder.builder_mod_header.location.livestock.num_farms": "N\u00famero de UPAs ganaderas", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "N\u00famero de animales", + "graph_builder.builder_mod_header.location.nonags.num_farms": "N\u00famero de UPNAs", + "graph_builder.builder_mod_header.location.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.partners.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.products.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.scatter": "Complejidad, distancia y valor estrat\u00e9gico de exportaciones potenciales", + "graph_builder.builder_mod_header.location.products.similarity": "Exportaciones con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.nonag.departments.num_farms": "N\u00famero de UPNAs", + "graph_builder.builder_mod_header.nonag.municipalities.num_farms": "N\u00famero de UPNAs", + "graph_builder.builder_mod_header.product.cities.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.cities.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.departments.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.departments.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.partners.import_value": "Importaciones totales", + "graph_builder.builder_nav.header": "M\u00e1s gr\u00e1ficos para este {{entity}}", + "graph_builder.builder_nav.intro": "Seleccione una pregunta para ver el gr\u00e1fico correspondiente. Si en la pregunta faltan par\u00e1metros ({{icon}}), los podr\u00e1 llenar cuando haga click.", + "graph_builder.builder_questions.city": "Preguntas: Ciudades", + "graph_builder.builder_questions.department": "Preguntas: Departamentos", + "graph_builder.builder_questions.employment": "Preguntas: Empleo", + "graph_builder.builder_questions.export": "Preguntas: Exportaciones", + "graph_builder.builder_questions.import": "Preguntas: Importaciones", + "graph_builder.builder_questions.industry": "Preguntas: Sectores", + "graph_builder.builder_questions.landUse": "Preguntas: Usos del suelo", + "graph_builder.builder_questions.land_harvested": "Preguntas: \u00c1rea cosechada", + "graph_builder.builder_questions.land_sown": "Preguntas: \u00c1rea sembrada", + "graph_builder.builder_questions.livestock_num_farms": "Preguntas: N\u00famero de UPAs", + "graph_builder.builder_questions.livestock_num_livestock": "Preguntas: N\u00famero de cabezas de ganado", + "graph_builder.builder_questions.location": "Preguntas: Lugares", + "graph_builder.builder_questions.nonag": "Preguntas: Actividades no agropecuarias", + "graph_builder.builder_questions.occupation": "Preguntas: Ocupaciones", + "graph_builder.builder_questions.partner": "Preguntas: Socios Comerciales", + "graph_builder.builder_questions.product": "Preguntas: Productos de Exportaci\u00f3n", + "graph_builder.builder_questions.production_tons": "Preguntas: Producci\u00f3n", + "graph_builder.builder_questions.rural": "Preguntas: Actividades Rurales", + "graph_builder.builder_questions.wage": "Preguntas: N\u00f3mina Salarial", + "graph_builder.change_graph.geo_description": "Mapea los datos", + "graph_builder.change_graph.label": "Cambie el gr\u00e1fico", + "graph_builder.change_graph.multiples_description": "Muestra la evoluci\u00f3n en varios per\u00edodos", + "graph_builder.change_graph.scatter_description": "Muestra la complejidad y la distancia", + "graph_builder.change_graph.similarity_description": "Presenta las ventajas comparativas reveladas", + "graph_builder.change_graph.treemap_description": "Muestra la descomposici\u00f3n en varios niveles", + "graph_builder.change_graph.unavailable": "Este gr\u00e1fico no est\u00e1 disponible para esta pregunta", + "graph_builder.download.agproduct": "Producto Agropecuario", + "graph_builder.download.area": "\u00c1rea ", + "graph_builder.download.average_livestock_load": "", + "graph_builder.download.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.download.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.download.code": "C\u00f3digo", + "graph_builder.download.cog": "Valor estrat\u00e9gico", + "graph_builder.download.complexity": "Complejidad", + "graph_builder.download.distance": "Distancia", + "graph_builder.download.eci": "Complejidad exportadora", + "graph_builder.download.employment": "Empleo", + "graph_builder.download.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.download.export": "Exportaci\u00f3n", + "graph_builder.download.export_num_plants": "N\u00famero de empresas", + "graph_builder.download.export_rca": "Ventaja comparativa revelada", + "graph_builder.download.export_value": "Exportaciones, USD", + "graph_builder.download.farmtype": "Tipo de UPA", + "graph_builder.download.gdp_pc_real": "PIB per c\u00e1pita, Col $", + "graph_builder.download.gdp_real": "PIB, Col $", + "graph_builder.download.import_value": "Importaciones, USD", + "graph_builder.download.industry": "Sector", + "graph_builder.download.industry_eci": "Complejidad sectorial", + "graph_builder.download.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.download.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.download.land_use": "Usos del suelo", + "graph_builder.download.less_than_5": "Menos de 5", + "graph_builder.download.livestock": "Especie Pecuaria", + "graph_builder.download.location": "Lugar", + "graph_builder.download.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.download.name": "Nombre", + "graph_builder.download.num_establishments": "N\u00famero de empresas", + "graph_builder.download.num_farms": "N\u00famero de Unidades de Producci\u00f3n", + "graph_builder.download.num_farms_ag": "N\u00famero de UPAs ", + "graph_builder.download.num_farms_nonag": "N\u00famero de UPNAs", + "graph_builder.download.num_livestock": "N\u00famero de cabezas de ganado", + "graph_builder.download.num_vacancies": "Vacantes", + "graph_builder.download.occupation": "Ocupaci\u00f3n", + "graph_builder.download.parent": "Grupo", + "graph_builder.download.population": "Poblaci\u00f3n", + "graph_builder.download.production_tons": "Producci\u00f3n (toneladas)", + "graph_builder.download.rca": "Ventaja comparativa revelada", + "graph_builder.download.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.download.wages": "N\u00f3mina salarial total, Col$ ", + "graph_builder.download.year": "A\u00f1o", + "graph_builder.download.yield_index": "\u00cdndice de Rendimiento de Cultivos", + "graph_builder.download.yield_ratio": "Rendimiento de los Cultivos (tons/ha)", + "graph_builder.explanation": "Explicaci\u00f3n", + "graph_builder.explanation.agproduct.departments.land_harvested": "Muestra la composici\u00f3n de lugares que cosechan este producto agropecuario, por \u00e1rea cosechada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.land_sown": "Muestra la composici\u00f3n de lugares que siembran este producto agropecuario, por \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.departments.production_tons": "Muestra la composici\u00f3n de lugares que producen este producto agropecuario, por toneladas producidas. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "Muestra la composici\u00f3n de lugares que siembran este producto agropecuario, por \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.land_sown": "Muestra la composici\u00f3n de lugares que siembran este producto agropecuario, por \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.agproduct.municipalities.production_tons": "Muestra la composici\u00f3n de lugares que producen este producto agropecuario, por toneladas producidas. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.hide": "Oculte", + "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.cities.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Muestra la composici\u00f3n de las vacantes anunciadas en sitios de Internet y los salarios ofrecidos.", + "graph_builder.explanation.landUse.departments.area": "Muestra la composici\u00f3n de lugares en donde se usa el suelo espec\u00edficamente de esta manera, por \u00e1rea. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.landUse.municipalities.area": "Muestra la composici\u00f3n de lugares en donde se usa el suelo espec\u00edficamente de esta manera, por \u00e1rea. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.departments.num_farms": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.departments.num_livestock": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de cabezas de ganado. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.municipalities.num_farms": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.livestock.municipalities.num_livestock": "Muestra la composici\u00f3n de localizaciones para esta especie pecuaria, por n\u00famero de cabezas de ganado. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.agproducts.land_harvested": "Muestra la composici\u00f3n de productos agropecuarios en esta localizaci\u00f3n, por \u00e1rea de \u00e1rea cosechada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.land_sown": "Muestra la composici\u00f3n de productos agropecuarios en esta localizaci\u00f3n, por \u00e1rea de \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.production_tons": "Muestra la composici\u00f3n de productos agropecuarios en esta localizaci\u00f3n, por peso. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.location.agproducts.yield_ratio": "Muestra el rendimiento de la tierra cosechada por producto en las UPAs de este lugar. Fuente: Agronet (2017), Ministerio de Agricultura. Link Informaci\u00f3n acerca de ca\u00f1a de az\u00facar: Es importante tener en cuenta que la informaci\u00f3n presentada en esta secci\u00f3n para ca\u00f1a azucarera corresponde al rendimiento (ton/ha) de material verde y no al de az\u00facar. Esto resulta debido a que existe una relaci\u00f3n de aproximadamente 10 toneladas de material verde por cada tonelada de az\u00facar.", + "graph_builder.explanation.location.farmtypes.num_farms": "Muestra la composici\u00f3n de UPAs en esta localizaci\u00f3n, por tipo de UPA. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.industries.employment": "Muestra la composici\u00f3n sectorial del empleo formal del departamento. Fuente: PILA.", + "graph_builder.explanation.location.industries.scatter": "Cada punto representa un sector productivo. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del lugar en ese sector. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad sectorial y el eje horizontal es la distancia tecnol\u00f3gica para que el sector se desarrolle, dadas las capacidades que ya existen en el lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del sector para el lugar, es decir qu\u00e9 tanto puede contribuir el sector al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles en otros sectores. Los sectores m\u00e1s atractivos son los ubicados arriba y a la izquierda, especialmente si los puntos que los representan son grandes. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.similarity": "El mapa de similitud tecnol\u00f3gica de los sectores (o mapa de los sectores) muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores y otros. Cada punto representa un sector productivo y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Los puntos coloreados son sectores con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en el cuadro que sigue). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros sectores. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.wages": "Muestra la composici\u00f3n sectorial de la n\u00f3mina salarial del departamento o ciudad. Fuente: PILA.", + "graph_builder.explanation.location.landUses.area": "Muestra la composici\u00f3n de usos del suelo en esta localizaci\u00f3n, por \u00e1rea. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.livestock.num_farms": "Muestra la composici\u00f3n de especies pecuarias en esta localizaci\u00f3n, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.livestock.num_livestock": "Muestra la composici\u00f3n de especies pecuarias en esta localizaci\u00f3n, por n\u00famero de UPAs. Fuente: National Agricultural Census (2014). Departamento Administrativo Nacional de Estad\u00edstica (DANE)", + "graph_builder.explanation.location.nonags.num_farms": "Muestra la composici\u00f3n de actividades no agropecuarias realizadas en este lugar por el n\u00famero de UPAs que las realizan. Fuente: CNA", + "graph_builder.explanation.location.partners.export_value": "Muestra la composici\u00f3n de las exportaciones de este lugar por pa\u00eds de destino, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Muestra la composici\u00f3n de las importaciones de este lugar por pa\u00eds de origen, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.products.export_value": "Muestra la composici\u00f3n de las exportaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.import_value": "Muestra la composici\u00f3n de las importaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.scatter": "Cada punto representa un producto de exportaci\u00f3n. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del departamento o ciudad en ese producto. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad del producto y el eje horizontal es la distancia tecnol\u00f3gica para poder exportar un producto, dadas las capacidades que ya existen en el lugar. La l\u00ednea discontinua es el \u00edndice de complejidad sectorial promedio del lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del producto para el departamento o ciudad, es decir qu\u00e9 tanto puede contribuir el producto al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles para otras exportaciones. Las exportaciones m\u00e1s atractivas de desarrollar son las ubicadas arriba y a la izquierda, especialmente si los puntos que las representan son grandes. Fuente: c\u00e1lculos del CID con datos de la DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.location.products.similarity": "El mapa de similitud tecnol\u00f3gica de los productos (o mapa de los productos) muestra que tan similares son los conocimientos requeridos por unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Los puntos coloreados son exportaciones con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de productos (v\u00e9ase el cuadro). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros productos. Fuente: c\u00e1lculos del CID con datos de DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.nonag.departments.num_farms": "Muestra la composici\u00f3n de lugares que realizan esta actividad no agropecuaria por n\u00famero de UPAs que la realizan. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.nonag.municipalities.num_farms": "Muestra la composici\u00f3n de lugares que siembran este producto agr\u00edcola por \u00e1rea\u00a0sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", + "graph_builder.explanation.product.cities.export_value": "Muestra la composici\u00f3n por ciudades de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Muestra la composici\u00f3n por ciudades de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Muestra la composici\u00f3n por departamentos de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Muestra la composici\u00f3n por departamentos de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Muestra el destino de las exportaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.show": "Muestre m\u00e1s", + "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.page_title.agproduct.departments.land_harvested": "\u00bfQu\u00e9 departamentos cosechan este producto agropecuario?", + "graph_builder.page_title.agproduct.departments.land_sown": "\u00bfQu\u00e9 departamentos siembran este producto agropecuario?", + "graph_builder.page_title.agproduct.departments.production_tons": "\u00bfQu\u00e9 departamentos producen este producto agropecuario?", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "\u00bfQu\u00e9 municipios cosechan este producto agropecuario?", + "graph_builder.page_title.agproduct.municipalities.land_sown": "\u00bfQu\u00e9 municipios siembran este producto agropecuario?", + "graph_builder.page_title.agproduct.municipalities.production_tons": "\u00bfQu\u00e9 municipios producen este producto agropecuario?", + "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.departments.employment": "\u00bfQu\u00e9 departamentos en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.departments.wages": "\u00bfQu\u00e9 departamentos en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.occupations.num_vacancies": "\u00bfQu\u00e9 ocupaciones demanda este sector?", + "graph_builder.page_title.landUse.departments.area": "\u00bfQu\u00e9 departamentos tienen este uso del suelo?", + "graph_builder.page_title.landUse.municipalities.area": "\u00bfQu\u00e9 departamentos tienen este uso del suelo?", + "graph_builder.page_title.livestock.departments.num_farms": "\u00bfCu\u00e1ntas UPAs cr\u00edan esta especie pecuaria en cada departamento?", + "graph_builder.page_title.livestock.departments.num_livestock": "\u00bfCu\u00e1ntos animales de esta especie pecuaria se cr\u00edan en cada departamento?", + "graph_builder.page_title.livestock.municipalities.num_farms": "\u00bfCu\u00e1ntas UPAs cr\u00edan esta especie pecuaria en cada municipio?", + "graph_builder.page_title.livestock.municipalities.num_livestock": "\u00bfCu\u00e1ntos animales de esta especie pecuaria se cr\u00edan en cada municipio?", + "graph_builder.page_title.location.agproducts.land_harvested.country": "\u00bfCu\u00e1ntas hect\u00e1reas cosechadas por cultivo hay en Colombia?", + "graph_builder.page_title.location.agproducts.land_harvested.department": "\u00bfCu\u00e1ntas hect\u00e1reas cosechadas por cultivo hay en este departamento?", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "\u00bfCu\u00e1ntas hect\u00e1reas cosechadas por cultivo hay en este municipio?", + "graph_builder.page_title.location.agproducts.land_sown.country": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en Colombia?", + "graph_builder.page_title.location.agproducts.land_sown.department": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en este departamento?", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en este municipio?", + "graph_builder.page_title.location.agproducts.production_tons.country": "\u00bfCu\u00e1ntas toneladas se producen por cultivo en Colombia?", + "graph_builder.page_title.location.agproducts.production_tons.department": "\u00bfCu\u00e1ntas toneladas se producen por cultivo en este departamento?", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "\u00bfCu\u00e1ntas toneladas se producen por cultivo en este municipio?", + "graph_builder.page_title.location.agproducts.yield_ratio.country": "\u00bfCu\u00e1nto es el rendimiento (ton/ha) de los cultivos en Colombia?", + "graph_builder.page_title.location.agproducts.yield_ratio.department": "\u00bfCu\u00e1nto es el rendimiento (ton/ha) de los cultivos en este departamento?", + "graph_builder.page_title.location.agproducts.yield_ratio.municipality": "\u00bfCu\u00e1nto es el rendimiento (ton/ha) de los cultivos en este municipio?", + "graph_builder.page_title.location.destination_by_product.export_value.department": "\u00bfA qu\u00e9 pa\u00edses env\u00eda este departamento sus exportaciones de petr\u00f3leo?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "\u00bfDe qu\u00e9 pa\u00edses recibe este departamento sus importaciones de veh\u00edculos?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "\u00bfCu\u00e1ntas Unidades de Produccion Agropecuaria (UPAs) y no Agropecuaria (UPNAs) hay en Colombia?", + "graph_builder.page_title.location.farmtypes.num_farms.department": "\u00bfCu\u00e1ntas Unidades de Produccion Agropecuaria (UPAs) y no Agropecuaria (UPNAs) hay en este departamento?", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "\u00bfCu\u00e1ntas Unidades de Produccion Agropecuaria (UPAs) y no Agropecuaria (UPNAs) hay en este municipio?", + "graph_builder.page_title.location.industries.employment.country": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en Colombia?", + "graph_builder.page_title.location.industries.employment.department": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este departamento?", + "graph_builder.page_title.location.industries.employment.msa": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en esta ciudad?", + "graph_builder.page_title.location.industries.employment.municipality": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este municipio?", + "graph_builder.page_title.location.industries.scatter.country": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este departamento?", + "graph_builder.page_title.location.industries.scatter.msa": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en esta ciudad?", + "graph_builder.page_title.location.industries.scatter.municipality": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este municipio?", + "graph_builder.page_title.location.industries.similarity.country": "\u00bfC\u00f3mo es el mapa de los sectores de Colombia?", + "graph_builder.page_title.location.industries.similarity.department": "\u00bfC\u00f3mo es el mapa de los sectores de este departamento?", + "graph_builder.page_title.location.industries.similarity.msa": "\u00bfC\u00f3mo es el mapa de los sectores de esta ciudad?", + "graph_builder.page_title.location.industries.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los sectores de este municipio?", + "graph_builder.page_title.location.industries.wages.country": "\u00bfQu\u00e9 sectores en Colombia tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.department": "\u00bfQu\u00e9 sectores en este departamento tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.msa": "\u00bfQu\u00e9 sectores en esta ciudad tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.municipality": "\u00bfQu\u00e9 sectores en este municipio tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.landUses.area.country": "\u00bfC\u00f3mo se usa el suelo en Colombia?", + "graph_builder.page_title.location.landUses.area.department": "\u00bfC\u00f3mo se usa el suelo en este departamento?", + "graph_builder.page_title.location.landUses.area.municipality": "\u00bfC\u00f3mo se usa el suelo en este municipio?", + "graph_builder.page_title.location.livestock.num_farms.country": "\u00bfCu\u00e1ntas UPAs realizan actividad pecuaria seg\u00fan especie?", + "graph_builder.page_title.location.livestock.num_farms.department": "\u00bfCu\u00e1ntas UPAs realizan actividad pecuaria seg\u00fan especie?", + "graph_builder.page_title.location.livestock.num_farms.municipality": "\u00bfCu\u00e1ntas UPAs realizan actividad pecuaria seg\u00fan especie?", + "graph_builder.page_title.location.livestock.num_livestock.country": "\u00bfCu\u00e1les y cuantas son las especies pecuarias en Colombia?", + "graph_builder.page_title.location.livestock.num_livestock.department": "\u00bfCu\u00e1les y cuantas son las especies pecuarias en este departamento?", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "\u00bfCu\u00e1les y cuantas son las especies pecuarias en este municipio?", + "graph_builder.page_title.location.nonags.num_farms.country": "\u00bfQu\u00e9 actividades no agropecuarias se realizan en Colombia?", + "graph_builder.page_title.location.nonags.num_farms.department": "\u00bfQu\u00e9 actividades no agropecuarias se realizan en este departamento?", + "graph_builder.page_title.location.nonags.num_farms.municipality": "\u00bfQu\u00e9 actividades no agropecuarias se realizan en este municipio?", + "graph_builder.page_title.location.partners.export_value.country": "\u00bfA qu\u00e9 pa\u00edses exporta Colombia?", + "graph_builder.page_title.location.partners.export_value.department": "\u00bfA qu\u00e9 pa\u00edses exporta este departamento?", + "graph_builder.page_title.location.partners.export_value.msa": "\u00bfA qu\u00e9 pa\u00edses exporta esta ciudad?", + "graph_builder.page_title.location.partners.export_value.municipality": "\u00bfA qu\u00e9 pa\u00edses exporta este municipio?", + "graph_builder.page_title.location.partners.import_value.country": "\u00bfDe d\u00f3nde vienen las importaciones de Colombia?", + "graph_builder.page_title.location.partners.import_value.department": "\u00bfDe d\u00f3nde vienen las importaciones de este departamento?", + "graph_builder.page_title.location.partners.import_value.msa": "\u00bfDe d\u00f3nde vienen las importaciones de esta ciudad?", + "graph_builder.page_title.location.partners.import_value.municipality": "\u00bfDe d\u00f3nde vienen las importaciones de este municipio?", + "graph_builder.page_title.location.products.export_value.country": "\u00bfQu\u00e9 productos exporta Colombia?", + "graph_builder.page_title.location.products.export_value.department": "\u00bfQu\u00e9 productos exporta este departamento?", + "graph_builder.page_title.location.products.export_value.msa": "\u00bfQu\u00e9 productos exporta esta ciudad?", + "graph_builder.page_title.location.products.export_value.municipality": "\u00bfQu\u00e9 productos exporta este municipio?", + "graph_builder.page_title.location.products.import_value.country": "\u00bfQu\u00e9 productos importa Colombia?", + "graph_builder.page_title.location.products.import_value.department": "\u00bfQu\u00e9 productos importa este departamento?", + "graph_builder.page_title.location.products.import_value.msa": "\u00bfQu\u00e9 productos importa esta ciudad?", + "graph_builder.page_title.location.products.import_value.municipality": "\u00bfQu\u00e9 productos importa este municipio?", + "graph_builder.page_title.location.products.scatter.country": "\u00bfQu\u00e9 productos tienen el mayor potencial para Colombia?", + "graph_builder.page_title.location.products.scatter.department": "\u00bfQu\u00e9 productos tienen el mayor potencial para este departamento?", + "graph_builder.page_title.location.products.scatter.msa": "\u00bfQu\u00e9 productos tienen el mayor potencial para esta ciudad?", + "graph_builder.page_title.location.products.scatter.municipality": "\u00bfQu\u00e9 productos tienen el mayor potencial para este municipio?", + "graph_builder.page_title.location.products.similarity.country": "\u00bfC\u00f3mo es el mapa de los productos de Colombia?", + "graph_builder.page_title.location.products.similarity.department": "\u00bfC\u00f3mo es el mapa de los productos de este departamento?", + "graph_builder.page_title.location.products.similarity.msa": "\u00bfC\u00f3mo es el mapa de los productos de esta ciudad?", + "graph_builder.page_title.location.products.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los productos de este municipio?", + "graph_builder.page_title.nonag.departments.num_farms": "\u00bfCu\u00e1ntas unidades productivas rurales (UPAs y UPNAs) por departamento tienen esta actividad no agropecuaria?", + "graph_builder.page_title.nonag.municipalities.num_farms": "\u00bfCu\u00e1ntas unidades productivas rurales (UPAs y UPNAs) por municipio tienen esta actividad no agropecuaria?", + "graph_builder.page_title.product.cities.export_value": "\u00bfQu\u00e9 ciudades en Colombia exportan este producto?", + "graph_builder.page_title.product.cities.import_value": "\u00bfQu\u00e9 ciudades en Colombia importan este producto?", + "graph_builder.page_title.product.departments.export_value": "\u00bfQu\u00e9 departamentos en Colombia exportan este producto?", + "graph_builder.page_title.product.departments.import_value": "\u00bfQu\u00e9 departamentos en Colombia importan este producto?", + "graph_builder.page_title.product.partners.export_value": "\u00bfA d\u00f3nde exporta Colombia este producto?", + "graph_builder.page_title.product.partners.export_value.destination": "\u00bfA qu\u00e9 pa\u00edses env\u00eda {{location}} sus exportaciones de {{product}}?", + "graph_builder.page_title.product.partners.import_value": "\u00bfDe d\u00f3nde importa Colombia este producto?", + "graph_builder.page_title.product.partners.import_value.origin": "\u00bfDe qu\u00e9 pa\u00edses recibe {{location}} sus importaciones de {{product}}?", + "graph_builder.questions.label": "Cambiar pregunta", + "graph_builder.recirc.header.industry": "Lea el perfil de este sector", + "graph_builder.recirc.header.location": "Lea el perfil de este lugar", + "graph_builder.recirc.header.product": "Lea el perfil de este producto", + "graph_builder.search.placeholder.agproducts": "Se\u00f1ale productos agropecuarios en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.cities": "Destaque una ciudad en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.departments": "Destaque un departamento en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.farmtypes": "Se\u00f1ale un tipo de unidad de producci\u00f3n rural en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.industries": "Destaque un sector en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.landUses": "Se\u00f1ale un uso de suelo en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.livestock": "Se\u00f1ale una especie pecuaria en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.locations": "Destaque un lugar en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.municipalities": "Se\u00f1ale una municipio en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.nonags": "Se\u00f1ale una actividad no agropecuaria en el siguiente gr\u00e1fico", + "graph_builder.search.placeholder.occupations": "Destaque una ocupaci\u00f3n en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.partners": "Resaltar socios comerciales en la gr\u00e1fica inferior", + "graph_builder.search.placeholder.products": "Destaque un producto en el gr\u00e1fico siguiente", + "graph_builder.search.submit": "Destacar", + "graph_builder.settings.change_time": "Cambiar per\u00edodo", + "graph_builder.settings.close_settings": "Archive y cierre", + "graph_builder.settings.label": "Cambiar caracter\u00edsticas", + "graph_builder.settings.rca": "Ventaja comparativa revelada", + "graph_builder.settings.rca.all": "Todo", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "a", + "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year.next": "Siguiente", + "graph_builder.settings.year.previous": "Anterior", + "graph_builder.table.agproduct": "Producto Agr\u00edcola", + "graph_builder.table.area": "\u00c1rea (ha)", + "graph_builder.table.average_livestock_load": "", + "graph_builder.table.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.table.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.table.code": "C\u00f3digo", + "graph_builder.table.cog": "Valor estrat\u00e9gico", + "graph_builder.table.coi": "Complejidad exportadora potencial", + "graph_builder.table.complexity": "Complejidad", + "graph_builder.table.country": "Pa\u00eds", + "graph_builder.table.department": "Departamento", + "graph_builder.table.distance": "Distancia", + "graph_builder.table.eci": "Complejidad exportadora", + "graph_builder.table.employment": "Empleo", + "graph_builder.table.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.table.export": "Exportaci\u00f3n", + "graph_builder.table.export_num_plants": "N\u00famero de empresas", + "graph_builder.table.export_rca": "Ventaja comparativa revelada", + "graph_builder.table.export_value": "Exportaciones, USD", + "graph_builder.table.farmtype": "Tipo de UPA", + "graph_builder.table.gdp_pc_real": "PIB per c\u00e1pita", + "graph_builder.table.gdp_real": "PIB", + "graph_builder.table.import_value": "Importaciones, USD", + "graph_builder.table.industry": "Sector", + "graph_builder.table.industry_coi": "Complejidad sectorial potencial", + "graph_builder.table.industry_eci": "Complejidad sectorial", + "graph_builder.table.land_harvested": "\u00c1rea cosechada (ha)", + "graph_builder.table.land_sown": "\u00c1rea sembrada (ha)", + "graph_builder.table.land_use": "Usos del suelo", + "graph_builder.table.less_than_5": "Menos de 5", + "graph_builder.table.livestock": "Especie", + "graph_builder.table.location": "Lugar", + "graph_builder.table.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.table.name": "Nombre", + "graph_builder.table.nonag": "Actividades no agropecuarias", + "graph_builder.table.num_establishments": "N\u00famero de empresas", + "graph_builder.table.num_farms": "N\u00famero de Unidades de Producci\u00f3n", + "graph_builder.table.num_farms_ag": "N\u00famero de UPAs", + "graph_builder.table.num_farms_nonag": "N\u00famero de UPNAs", + "graph_builder.table.num_livestock": "N\u00famero de animales", + "graph_builder.table.num_vacancies": "Vacantes", + "graph_builder.table.occupation": "Ocupaci\u00f3n", + "graph_builder.table.parent": "Grupo", + "graph_builder.table.parent.country": "Regi\u00f3n", + "graph_builder.table.parent.location": "Regi\u00f3n", + "graph_builder.table.population": "Poblaci\u00f3n", + "graph_builder.table.production_tons": "Producci\u00f3n (tons)", + "graph_builder.table.rca": "Ventaja comparativa revelada", + "graph_builder.table.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.table.share": "Participaci\u00f3n", + "graph_builder.table.wages": "N\u00f3mina salarial total, Col$ (miles)", + "graph_builder.table.year": "A\u00f1o", + "graph_builder.table.yield_index": "\u00cdndice de Rendimiento de Cultivos", + "graph_builder.table.yield_ratio": "Rendimiento de Cultivos (tons/ha)", + "graph_builder.view_more": "Muestre m\u00e1s", + "header.agproduct": "Productos agr\u00edcolas", + "header.destination": "Destino", + "header.destination_by_products": "Destinos por productos", + "header.employment": "Empleo", + "header.export": "Exportaciones", + "header.farmtypes.area": "Tipos de UPAs", + "header.import": "Importaciones", + "header.index": "\u00cdndice", + "header.industry": "Sectores", + "header.industry_potential": "Potencial", + "header.industry_space": "Mapa de los sectores ", + "header.land-use": "Usos del suelo", + "header.landUse": "Usos del suelo", + "header.landUses.area": "Usos del suelo", + "header.land_harvested": "Terreno Cosechado", + "header.land_sown": "\u00c1rea sembrada (ha)", + "header.landuse": "Usos del suelo", + "header.livestock": "Especies Pecuarias", + "header.livestock.num_farms": "N\u00famero de UPAs", + "header.livestock.num_livestock": "N\u00famero de cabezas de ganado", + "header.livestock_num_farms": "N\u00famero de UPAs", + "header.livestock_num_livestock": "N\u00famero de cabezas de ganado", + "header.location": "Lugares", + "header.nonag": "Actividades no agropecuarias", + "header.occupation": "Ocupaciones", + "header.occupation.available_jobs": "Vacantes anunciadas", + "header.origin": "Origen", + "header.origin_by_products": "Origen por productos", + "header.overview": "Resumen", + "header.partner": "Socios comerciales", + "header.product": "Productos ", + "header.product_potential": "Potencial", + "header.product_space": "Mapa de los productos", + "header.production_tons": "Producci\u00f3n", + "header.region": "Por departamento", + "header.rural": "Preguntas: Actividades Rurales", + "header.subregion": "Por ciudad", + "header.subsubregion": "Por municipio", + "header.wage": "N\u00f3mina total", + "header.yield_ratio": "Productividad", + "index.builder_cta": "Explore las gr\u00e1ficas sobre el caf\u00e9", + "index.builder_head": "Luego vaya al graficador", + "index.builder_subhead": "Haga sus propios gr\u00e1ficos y mapas", + "index.complexity_caption": "\u00bfQu\u00e9 tan bueno es este enfoque? Las predicciones de crecimiento basadas en la complejidad son seis veces m\u00e1s preocsas que las basadas en variables convencionales, como los \u00cdndice de Competitividad Mundial. ", + "index.complexity_cta": "Lea m\u00e1s sobre los conceptos de complejidad", + "index.complexity_figure.WEF_name": "\u00cdndice de Competitividad Mundial", + "index.complexity_figure.complexity_name": "\u00cdndice de complejidad econ\u00f3mica", + "index.complexity_figure.head": "Crecimiento econ\u00f3mico explicado (% de la varianza decenal)", + "index.complexity_head": "La ventaja de la complejidad", + "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", + "index.country_profile": "Lea el perfil de Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.farmandland_head": "Aprenda sobre Actividades Rurales", + "index.future_head": "Avizorando el futuro", + "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", + "index.graphbuilder.id": "87", + "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_head": "Colombia como usted nunca la ha visto", + "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.industry_head": "Ent\u00e9rese de un sector", + "index.industry_q1": "\u00bfEn d\u00f3nde emplea m\u00e1s personas el sector qu\u00edmico de Colombia?", + "index.industry_q1.id": "461", + "index.industry_q2": "\u00bfQu\u00e9 ocupaciones demanda la sector qu\u00edmico?", + "index.industry_q2.id": "461", + "index.landuse_q1": "\u00bfCu\u00e1ntas hect\u00e1reas sembradas por cultivo hay en Colombia?", + "index.livestock_q1": "\u00bfCu\u00e1les y cu\u00e1ntas son las especies pecuarias en Colombia?", + "index.location_head": "Aprenda sobre un lugar", + "index.location_q1": "\u00bfQu\u00e9 sectores emplean m\u00e1s gente en Bogot\u00e1 Met?", + "index.location_q1.id": "41", + "index.location_q2": "\u00bfQu\u00e9 exportaciones tienen el mayor potencial en Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "Vea todas las preguntas", + "index.present_head": "Mapeando el presente", + "index.present_subhead": "Utilice nuestros diagramas, gr\u00e1ficos y mapas para descomponer las exportaciones, el empleo formal o las actividades rurales de su departamento, ciudad o municipio.", + "index.product_head": "Aprenda sobre un producto de exportaci\u00f3n", + "index.product_q1": "\u00bfQu\u00e9 lugares de Colombia exportan computadores?", + "index.product_q1.id": "1143", + "index.product_q2": "\u00bfQu\u00e9 lugares de Colombia importan computadores?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Lea el perfil de Antioquia", + "index.profiles_head": "Comience por los perfiles", + "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", + "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Investigaci\u00f3n mencionada en", + "industry.show.avg_wages": "Salarios promedio ({{year}})", + "industry.show.employment": "Empleo ({{year}})", + "industry.show.employment_and_wages": "Empleo formal y salarios", + "industry.show.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "industry.show.industries": "Sectores", + "industry.show.industry_composition": "Composici\u00f3n del sector ({{year}})", + "industry.show.occupation": "Ocupaciones", + "industry.show.occupation_demand": "Ocupaciones m\u00e1s demandadas en este sector, {{year}}", + "industry.show.value": "Valor", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "departamento", + "location.model.msa": "ciudad", + "location.model.municipality": "municipio", + "location.show.ag_farmsize": "Tama\u00f1o promedio de UPAs", + "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", + "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", + "location.show.average_livestock_load": "", + "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.eci": "Complejidad exportadora", + "location.show.employment": "Empleo total ({{lastYear}})", + "location.show.employment_and_wages": "Empleo formal y salarios", + "location.show.export_possiblities": "Posibilidades de exportaci\u00f3n", + "location.show.export_possiblities.footer": "Los productos indicados pueden no ser viables debido a condiciones del lugar que no se consideran en el an\u00e1lisis de similitud tecnol\u00f3gica.", + "location.show.export_possiblities.intro": "Hemos encontrado que los pa\u00edses que exportan productos m\u00e1s complejos crecen m\u00e1s r\u00e1pido. Usando el \"mapa del producto\" presentado arriba, estamos destacando productos de alto potencial para {{name}}, ordenados por las mejores combinaciones de complejidad actual y valor estrat\u00e9gico.", + "location.show.exports": "Exportaciones ({{year}})", + "location.show.exports_and_imports": "Exportaciones e importaciones", + "location.show.gdp": "PIB", + "location.show.gdp_pc": "PIB per c\u00e1pita", + "location.show.growth_annual": "Tasa de crecimiento ({{yearRange}})", + "location.show.imports": "Importaciones ({{year}})", + "location.show.nonag_farmsize": "Tama\u00f1o promedio de UPNAs (ha)", + "location.show.overview": "Resumen", + "location.show.population": "Poblaci\u00f3n", + "location.show.subregion.exports": "Composici\u00f3n de exportaciones por municipio ({{year}})", + "location.show.subregion.imports": "Composici\u00f3n de importaciones por municipio ({{year}})", + "location.show.subregion.title": "Exportaciones e importaciones por municipio", + "location.show.total_wages": "N\u00f3mina salarial ({{lastYear}})", + "location.show.value": "Valor", + "location.show.yield_index": "\u00cdndice de Rendimiento de Cultivos", + "pageheader.about": "Acerca de Datlas", + "pageheader.alternative_title": "Atlas de complejidad econ\u00f3mica", + "pageheader.brand_slogan": "Colombia como usted nunca la ha visto", + "pageheader.download": "Acerca de los datos", + "pageheader.graph_builder_link": "Graficador", + "pageheader.profile_link": "Perfil", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Buscar", + "pageheader.search_placeholder": "Busque un lugar, sector, producto o actividad rural", + "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.location": "Busque un lugar", + "pageheader.search_placeholder.product": "Busque un producto", + "pageheader.search_placeholder.rural": "Busque actividades rurales", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explicaci\u00f3n", + "rankings.intro.p": "Comparaci\u00f3n entre departamentos o ciudades", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Ciudades", + "rankings.section.departments": "Departamentos", + "rankings.table-title": "Posici\u00f3n", + "search.didnt_find": "\u00bfEncontr\u00f3 lo que buscaba? Nos interesa saber: Datlascolombia@bancoldex.com", + "search.header": "resultados", + "search.intro": "Busque el lugar, producto, sector u ocupaci\u00f3n que le interese", + "search.level.4digit": "Partida arancelaria (1992) a cuatro d\u00edgitos", + "search.level.class": "CIIU a cuatro d\u00edgitos", + "search.level.country": "Pa\u00eds", + "search.level.department": "Departamento", + "search.level.division": "CIIU a dos d\u00edgitos", + "search.level.level1": "", + "search.level.level2": "", + "search.level.level3": "", + "search.level.msa": "Ciudad", + "search.level.municipality": "Municipio", + "search.level.parent.4digit": "Partida arancelaria (1992) a dos d\u00edgitos", + "search.level.parent.class": "CIIU a dos d\u00edgitos", + "search.level.parent.country": "Regi\u00f3n", + "search.placeholder": "Escriba aqu\u00ed para buscar lo que quiere", + "search.results_agproducts": "Productos agr\u00edcolas", + "search.results_industries": "Sectores", + "search.results_landuses": "Usos de suelo", + "search.results_livestock": "Especies Pecuarias", + "search.results_locations": "Lugares", + "search.results_nonag": "Actividades no agropecuarias", + "search.results_products": "Productos", + "search.results_rural": "Actividades rurales", + "table.export_data": "Descargar Datos", + "thousands_delimiter": "." +}; \ No newline at end of file diff --git a/app/locales/es-col/translationsold.js b/app/locales/es-col/translationsold.js new file mode 100644 index 00000000..9c3865a5 --- /dev/null +++ b/app/locales/es-col/translationsold.js @@ -0,0 +1,568 @@ +export default { + "abbr_billion": "mm", + "abbr_million": "mill", + "abbr_thousand": "miles", + "abbr_trillion": "bill", + "about.downloads.explanation.p1": "Descarque el documento que explica c\u00f3mo se calcula cada una de las variables de complejidad que utiliza Datlas.", + "about.downloads.explanation.title": "M\u00e9todos de c\u00e1lculo de las variables de complejidad", + "about.downloads.locations": "Listas de departmentos, ciudades (incluyendo \u00e1reas metropolitanas) y municipios", + "about.glossary": "

V\u00e9ase la p\u00e1gina \"Acerca de los datos\" para m\u00e1s informaci\u00f3n sobre fuentes, m\u00e9todos de c\u00e1lculo de las variables de complejidad y bases de datos descargables.

\u00c1reas metropolitanas

Un \u00e1rea metropolitana es la combinaci\u00f3n de dos o m\u00e1s municipios que est\u00e1n conectados a trav\u00e9s de flujos relativamente grandes de trabajadores (con independencia de su tama\u00f1o o contig\u00fcidad). Un municipio debe enviar al menos un 10% de sus trabajadores como viajeros diarios al resto de los municipios del \u00e1rea metropolitana para considerarse como parte de dicha \u00e1rea.

Con base en esta definici\u00f3n hay 19 \u00e1reas metropolitanas en Colombia, que comprenden 115 municipios. Las \u00e1reas metropolitanas resultantes son distintas de las oficiales. Se sigue la metodolog\u00eda de G. Duranton ( 2013): \u201cDelineating metropolitan areas: Measuring spatial labour market networks through commuting patterns.\u201d Wharton School, University of Pennsylvania.

Ciudades

Son las \u00e1reas metropolitanas y los municipios de m\u00e1s de 50.000 habitantes con al menos 75% de poblaci\u00f3n en la cabecera municipal. En total hay 62 ciudades (19 \u00e1reas metropolitanas que comprenden 115 municipios, m\u00e1s 43 ciudades de un solo municipio). El concepto de ciudad es relevante porque Datlas presenta indicadores de complejidad por departamento y por ciudad, pero no por municipio.

Complejidad

Complejidad es la diversidad y sofisticaci\u00f3n del \"know-how\" que se requiere para producir algo. El concepto de complejidad es central en Datlas porque la productividad y el crecimiento de cualquier lugar dependen de que las empresas puedan producir y exportar con \u00e9xito bienes y servicios que requieren capacidades y conocimientos m\u00e1s complejos, es decir m\u00e1s diversos y exclusivos. La complejidad puede medirse para un lugar, para un producto de exportaci\u00f3n, o para un sector.

Complejidad potencial de un lugar

Mide el potencial de aumento de la complejidad de un lugar. Tiene en cuenta el nivel de complejidad de todos los sectores productivos (o productos de exportaci\u00f3n), junto con la \u201cdistancia\u201d a los dem\u00e1s sectores (o productos). Con esta informaci\u00f3n mide la probabilidad de que aparezcan nuevos sectores (o exportaciones) y qu\u00e9 tanto elevar\u00edan la complejidad del lugar. Valores m\u00e1s altos indican que es m\u00e1s probable desarrollar nuevos sectores (o productos) m\u00e1s complejos que los que ya se tienen.

La complejidad potencial basada en sectores se calcula para los departamentos y ciudades, no para los dem\u00e1s municipios. La complejidad potencial basada en las exportaciones se calcula solamente por departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

DANE

DANE es el Departamento Administrativo Nacional de Estad\u00edstica de Colombia, fuente de todos los datos sobre el PIB y la poblaci\u00f3n que utiliza Datlas.

DIAN

DIAN es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, fuente de toda la informaci\u00f3n sobre exportaciones e importaciones de Datlas.

Distancia a un sector o exportaci\u00f3n en un lugar

La \u201cdistancia\u201d es una medida de la capacidad de un lugar para desarrollar un sector o una exportaci\u00f3n espec\u00edfica, teniendo en cuenta las capacidades productivas existentes. La \u201cdistancia\u201d es menor en la medida en que las capacidades requeridas por un sector o exportaci\u00f3n son m\u00e1s similares a las ya existentes. En esa medida ser\u00e1n mayores las posibilidades de que desarrolle con \u00e9xito el sector o exportaci\u00f3n. Visto de otra forma, la distancia refleja la proporci\u00f3n del conocimiento productivo que se necesita para que aparezca un sector o exportaci\u00f3n que a\u00fan no existe en el lugar.

Las distancias por sectores productivos se calculan solamente para los departamentos y ciudades, no para los dem\u00e1s municipios. Las distancias para las exportaciones se calculan solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Diversidad

Es una medida de cu\u00e1ntos productos diferentes puede hacer un lugar. La producci\u00f3n de un bien cualquiera requiere un conjunto espec\u00edfico de capacidades; por consiguiente la diversidad es otra forma de expresar la cantidad de conocimiento productivo de un lugar.

Empleo, salarios y tasa de empleo formal

El empleo formal es aquel que est\u00e1 cubierto por el sistema de seguridad social en salud y/o por el sistema de pensiones. No incluye trabajadores independientes. El empleo formal reportado es el n\u00famero de empleados formales en un mes promedio. La tasa de formalidad es el empleo formal dividido por la poblaci\u00f3n mayor de 15 a\u00f1os. Los datos de empleo y salarios provienen de la PILA del Ministerio de Salud. Los datos de poblaci\u00f3n son del DANE.

Empresas, n\u00famero de

El conteo de empresas con actividad productiva por lugar (municipio, departamento, nacional) se hizo teniendo en cuenta todas aquellas empresas registradas en la PILA que hicieron alg\u00fan aporte a la seguridad social para sus empleados en el a\u00f1o de referencia (aunque no hayan estado en operaci\u00f3n todo el a\u00f1o).

El conteo de empresas exportadoras o importadoras se hizo por municipio y producto teniendo en cuenta cualquier empresa que seg\u00fan la DIAN hubiera realizado alguna operaci\u00f3n en el a\u00f1o de referencia (por consiguiente, el conteo de empresas exportadoras o importadoras de un producto por departamento o para todo el pa\u00eds puede tener duplicaciones).

\u00cdndice de Complejidad del Producto (ICP)

Ordena los productos de exportaci\u00f3n seg\u00fan qu\u00e9 tantas capacidades productivas se requieren para su fabricaci\u00f3n. Productos complejos de exportaci\u00f3n, tales como qu\u00edmicos y maquinaria, requieren un nivel sofisticado y diverso de conocimientos que s\u00f3lo se consigue con la interacci\u00f3n en empresas de muchos individuos con conocimientos especializados. Esto contrasta con las exportaciones de baja complejidad, como el caf\u00e9, que requieren apenas conocimientos productivos b\u00e1sicos que se pueden reunir en una empresa familiar. Para calcular la complejidad de los productos de exportaci\u00f3n se utilizan datos de Comtrade de las Naciones Unidas para cerca de 200 pa\u00edses.

\u00cdndice de Complejidad Econ\u00f3mica (ICE)

Una medida de la sofisticaci\u00f3n de las capacidades productivas de un lugar basada en la diversidad y la ubicuidad de sus sectores productivos o sus exportaciones. Un lugar con alta complejidad produce o exporta bienes y servicios que pocos otros lugares producen. Lugares altamente complejos tienden a ser m\u00e1s productivos y a generar mayores salarios e ingresos. Los pa\u00edses con canastas de exportaci\u00f3n m\u00e1s sofisticadas de lo que se espera para su nivel de ingresos (como China) tienden a crecer m\u00e1s r\u00e1pido que aquellos en los que es todo lo contrario (como Grecia).

El ICE basado en los sectores productivos (o \u00edndice de complejidad productiva) se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. La ICE basado en las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la estructura de las exportaciones es inestable y/o poco representativa).

\u00cdndice de Complejidad del Sector (ICS)

Es una medida de qu\u00e9 tantas capacidades productivas requieren un sector para operar. El ICS y el \u00cdndice de Complejidad del Producto (ICP) son medidas estrechamente relacionadas, pero se calculan en forma separada con datos y sistemas de clasificaci\u00f3n independientes, ya que la complejidad del producto se calcula solo para mercanc\u00edas comercializables internacionalmente, mientras que los sectores productivos comprenden todos los sectores que generan empleo, incluidos todos los servicios y el sector p\u00fablico. Un sector es complejo si requiere un nivel sofisticado de conocimientos productivos, como los servicios financieros y los sectores farmac\u00e9uticos, en donde trabajan en grandes empresas muchos individuos con conocimientos especializados distintos. La complejidad de un sector se mide calculando la diversidad promedio de los lugares donde existe el sector y la ubicuidad promedio de los sectores de esos lugares. Los datos de empleo formal necesarios para estos c\u00e1lculos provienen de la PILA del Ministerio de Salud.

Mapa de similitud tecnol\u00f3gica de productos de exportaci\u00f3n (o mapa de los productos)

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos para la exportaci\u00f3n de unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Aparecen con color los productos de exportaci\u00f3n que se exportan con ventaja comparativa revelada mayor que uno. Cuando se selecciona un producto, el gr\u00e1fico destaca los productos que requieren capacidades productivas semejantes. Un producto con m\u00e1s enlaces con otros que no se exportan ofrece mayor potencial para la diversificaci\u00f3n exportadora a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el producto tiene un alto potencial para elevar la complejidad del lugar.

El mapa de similitud de los productos se basa en los datos de comercio internacional de 192 pa\u00edses en m\u00e1s de 50 a\u00f1os compilados por Comtrade. Ver http://atlas.cid.harvard.edu/.

Mapa de similitud de los sectores productivos de Colombia

Una visualizaci\u00f3n que muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores u otros. Cada punto representa un sector y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Aparecen con color los sectores con ventaja comparativa revelada mayor que uno. Cuando se selecciona un lugar, el gr\u00e1fico destaca los sectores que requieren capacidades productivas semejantes. Un sector con m\u00e1s enlaces con sectores que no existen ofrece mayor potencial para la diversificaci\u00f3n productiva a trav\u00e9s de las capacidades compartidas. Y si esas capacidades son complejas, el sector tiene un alto potencial para elevar la complejidad del lugar. El mapa de los sectores productivos de Colombia fue construido a partir de la informaci\u00f3n de empleo formal por municipio de la PILA del Ministerio de Salud.

Ocupaciones

Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos sobre las ocupaciones (salarios ofrecidos, estructura ocupacional por sector y nivel educativo por ocupaci\u00f3n) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Los datos fueron procesados por Jeisson Arley Rubio C\u00e1rdenas (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Escuela de Econom\u00eda de Par\u00eds).

PILA

PILA es la Planilla Integrada de Aportes Laborales del Ministerio de Salud. Es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector.

Productos de exportaci\u00f3n e importaci\u00f3n: sistema de clasificaci\u00f3n

El sistema de clasificaci\u00f3n de los productos de exportaci\u00f3n e importaci\u00f3n de Datlas es la nomenclatura arancelaria NABANDINA, la cual calza a seis d\u00edgitos con la clasificaci\u00f3n internacional del Sistema Armonizado (SA). Datlas presenta informaci\u00f3n de productos (de exportaci\u00f3n e importaci\u00f3n) a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la DIAN.

Sectores productivos: sistema de clasificaci\u00f3n

La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). Datlas presenta informaci\u00f3n sectorial a dos y cuatro d\u00edgitos. Toda la informaci\u00f3n proviene de la PILA. Siguiendo las convenciones de la contabilidad nacional, los trabajadores contratados por agencias de empleo temporal se clasifican en el sector de suministro de personal (7491), no en el sector de la empresa donde prestan servicios.

Ubicuidad

Una medida del n\u00famero de lugares que pueden producir un producto.

Valor estrat\u00e9gico de un sector o una exportaci\u00f3n para un lugar

Capta en qu\u00e9 medida un lugar podr\u00eda beneficiarse mediante el desarrollo de un sector en particular (o un producto de exportaci\u00f3n). Tambi\u00e9n conocida como \"ganancia de oportunidad\", esta medida representa la distancia a todos los otros sectores (o exportaciones) que un lugar no produce actualmente con ventaja comparativa revelada mayor que uno y su respectiva complejidad. Refleja c\u00f3mo un nuevo sector (o exportaci\u00f3n) puede abrir paso a otros sectores o productos m\u00e1s complejos. El valor estrat\u00e9gico de los sectores productivos se calcula solamente para departamentos y ciudades, no para los dem\u00e1s municipios. El valor estrat\u00e9gico de las exportaciones se calcula solamente para los departamentos y ciudades con exportaciones per c\u00e1pita mayores de 50 d\u00f3lares (por debajo de este umbral la composici\u00f3n de las exportaciones es inestable y/o poco representativa).

Ventaja Comparativa Revelada (VCR) de un sector o una exportaci\u00f3n en un lugar

Mide el tama\u00f1o relativo de un sector o un producto de exportaci\u00f3n en un lugar. La VCR, que no debe interpretarse como un indicador de eficiencia productiva o de competitividad, se conoce tambi\u00e9n por el nombre de \"cociente de localizaci\u00f3n\u201d. Se calcula como el cociente entre la participaci\u00f3n del empleo formal de un sector en el lugar y la participaci\u00f3n del empleo formal total del mismo sector en todo el pa\u00eds. Por ejemplo, si la industria qu\u00edmica en una ciudad genera el 10% del empleo, mientras que en todo el pa\u00eds genera el 1% del empleo, la VCR de la industria qu\u00edmica en dicha ciudad es 10. Para una exportaci\u00f3n es la relaci\u00f3n entre la participaci\u00f3n que tiene el producto en la canasta de exportaci\u00f3n del lugar y la participaci\u00f3n que tiene en el comercio mundial. Si esta relaci\u00f3n es mayor que 1, se dice que el lugar tiene ventaja comparativa revelada en el sector o en la exportaci\u00f3n. Por ejemplo, si el caf\u00e9 representa el 30% de las exportaciones de un departamento colombiano, pero da cuenta apenas del 0.3% del comercio mundial, entonces la VCR del departamento en caf\u00e9 es 100.

", + "about.glossary_name": "Glosario", + "about.project_description.cid.header": "El CID y el Laboratorio de Crecimiento ", + "about.project_description.cid.p1": "Este proyecto ha sido desarrollado por el Centro para el Desarrollo Internacional de la Universidad de Harvard (CID), bajo la direcci\u00f3n del profesor Ricardo Hausmann", + "about.project_description.cid.p2": "El CID tiene por objetivos avanzar en la comprensi\u00f3n de los desaf\u00edos del desarrollo y ofrecer soluciones viables para reducir la pobreza mundial. El Laboratorio de Crecimiento es uno de los principales programas de investigaci\u00f3n del CID.", + "about.project_description.contact.header": "Informaci\u00f3n de contacto", + "about.project_description.contact.link": "Datlascolombia@bancoldex.com", + "about.project_description.founder1.header": "Banc\u00f3ldex", + "about.project_description.founder1.p": "Banc\u00f3ldex, el banco de desarrollo empresarial de Colombia, est\u00e1 comprometido con el desarrollo de instrumentos financieros y no financieros orientados a mejorar la competitividad, la productividad, el crecimiento y la internacionalizaci\u00f3n de las empresas colombianas. Aprovechando su posici\u00f3n de mercado y su capacidad para establecer relaciones empresariales, Banc\u00f3ldex gestiona activos financieros, desarrolla soluciones de acceso a la financiaci\u00f3n y ofrece soluciones de capital innovadoras que fomentan y aceleran el crecimiento empresarial. Adem\u00e1s de ofrecer pr\u00e9stamos tradicionales, Banc\u00f3ldex ha sido designado para ejecutar varios programas de desarrollo tales como el Programa de Transformaci\u00f3n Productiva, iNNpulsa Colombia, iNNpulsa Mipyme y la Banca de las Oportunidades. Todos ellos conforman una oferta integrada de servicios para promover el entorno empresarial colombiano y la competitividad. Datlas es parte del Programa de Transformaci\u00f3n Productiva y la iniciativas INNpulsa Colombia.", + "about.project_description.founder2.header": "Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.founder2.p": "Creada en 1953, la Fundaci\u00f3n Mario Santo Domingo (FMSD) es una organizaci\u00f3n sin fines de lucro dedicada a la implementaci\u00f3n de programas de desarrollo comunitario en Colombia. FMSD concentra sus principales esfuerzos en la construcci\u00f3n de viviendas asequibles dentro de un modelo de desarrollo comunitario llamado Desarrollo Integral de Comunidades Sustentables, dise\u00f1ado por el FMSD como respuesta al gran d\u00e9ficit de vivienda en Colombia. A trav\u00e9s de este programa, el FMSD proporciona apoyo social a las familias, as\u00ed como infraestructura social y urbana para los menos privilegiados. FMSD tambi\u00e9n contribuye al desarrollo empresarial de la regi\u00f3n Norte de Colombia y de Bogot\u00e1 a trav\u00e9s de su Unidad de Microfinanzas, que ofrece capacitaci\u00f3n y servicios financieros como el microcr\u00e9dito. M\u00e1s de 130.000 empresarios han recibido pr\u00e9stamos de la Fundaci\u00f3n desde su lanzamiento en 1984. FMSD tambi\u00e9n trabaja en identificar alianzas y sinergias entre los sectores p\u00fablico y privado en las \u00e1reas de desarrollo social cr\u00edticos, como la primera infancia, la sostenibilidad ambiental, la atenci\u00f3n de desastres, la educaci\u00f3n y la salud.", + "about.project_description.founders.header": "Entidades Patrocinadoras", + "about.project_description.founders.p": "Este proyecto es financiado por Banc\u00f3ldex y la Fundaci\u00f3n Mario Santo Domingo", + "about.project_description.github": "Revise nuestro c\u00f3digo", + "about.project_description.intro.p1": "En Colombia, las diferencias de ingresos entre regiones son enormes y han ido creciendo: las nuevas oportunidades de empleo se concentran cada vez m\u00e1s en las \u00e1reas metropolitanas de Bogot\u00e1, Medell\u00edn y Cali, aparte de los lugares donde se extraen petr\u00f3leo y otros minerales. El ingreso promedio de los residentes de Bogot\u00e1 es cuatro veces el de los colombianos que viven en los 12 departamentos m\u00e1s pobres.", + "about.project_description.intro.p2": "Datlas es una herramienta de diagn\u00f3stico para que las empresas, los inversionistas y las autoridades de gobierno puedan tomar decisiones que ayuden a elevar la productividad. Contiene informaci\u00f3n por departamento, \u00e1rea metropolitana y municipio sobre actividad productiva, empleo, salarios y exportaciones. Ofrece criterios para identificar los sectores y las exportaciones con potencial de crecimiento con base en la complejidad econ\u00f3mica.", + "about.project_description.intro.p3": "La complejidad econ\u00f3mica es una medida de las capacidades y conocimientos de los sectores productivos de un pa\u00eds o una ciudad. Para hacer una camisa, hay que dise\u00f1arla, producir la tela, cortar, coser, empacar el producto, comercializarlo y distribuirlo. Para que un pa\u00eds pueda producir camisas, necesita personas que tengan experiencia en cada una de estas \u00e1reas. Cada una de estas tareas implica muchas m\u00e1s capacidades de las que cualquier persona sola puede dominar. S\u00f3lo mediante la combinaci\u00f3n de know-how de diferentes personas puede hacerse el producto. El camino hacia el desarrollo econ\u00f3mico consiste en aprender a hacer cosas m\u00e1s sofisticadas. El juego de Scrabble puede servir de analog\u00eda: el jugador que tiene un mayor n\u00famero de letras variadas puede hacer m\u00e1s palabras y conseguir m\u00e1s puntos. Los pa\u00edses con una mayor diversidad de capacidades productivas pueden hacer una mayor diversidad de productos. El desarrollo econ\u00f3mico ocurre en la medida en que el pa\u00eds o la ciudad adquiere m\u00e1s capacidades y conocimientos para producir productos cada vez m\u00e1s complejos.", + "about.project_description.intro.p4": "Este enfoque conceptual que ha sido aplicado a nivel internacional en el Atlas de la Complejidad Econ\u00f3mica se utiliza ahora en esta herramienta en l\u00ednea para identificar las posibilidades de exportaci\u00f3n y de desarrollo sectorial de los departamentos, las \u00e1reas metropolitanas y las ciudades colombianas.", + "about.project_description.letter.header": "Bolet\u00edn de Estudios del CID", + "about.project_description.letter.p": "Inscr\u00edbase al Bolet\u00edn de Estudios del CID para mantenerse al d\u00eda con los avances de la investigaci\u00f3n y las herramientas pr\u00e1cticas en temas relacionados con la complejidad.", + "about.project_description.team.header": "El equipo acad\u00e9mico y t\u00e9cnico", + "about.project_description.team.p": "El equipo acad\u00e9mico de CID de Harvard: Ricardo Hausmann (director), Eduardo Lora (coordinador), Tim Cheston, Andr\u00e9s G\u00f3mez-Li\u00e9vano, Jos\u00e9 Ram\u00f3n Morales, Neave O\u2019Clery y Juan T\u00e9llez. El equipo de programaci\u00f3n y visualizaci\u00f3n de CID de Harvard: Greg Shapiro (coordinador), Mali Akmanalp, Katy Harris, Quinn Lee, Romain Vuillemot y Gus Wezerek. Asesor estad\u00edstico de Colombia: Marcela Eslava (Universidad de los Andes). Recopilaci\u00f3n y procesamiento de los datos de ofertas de empleo de Colombia: Jeisson Arley C\u00e1rdenas Rubio (Universidad del Rosario, Bogot\u00e1) y Jaime Mauricio Monta\u00f1a Doncel (Paris School of Economics).", + "about.project_description_name": "Acerca de Datlas", + "census_year": "2014", + "country.show.ag_farmsize": "", + "country.show.dotplot-column": "Departamentos de Colombia", + "country.show.eci": "0,037", + "country.show.economic_structure": "Estructura econ\u00f3mica", + "country.show.economic_structure.copy.p1": "Con una poblaci\u00f3n de 48,1 millones (a mayo 2015), Colombia es el tercer pa\u00eds m\u00e1s grande de Am\u00e9rica Latina. Su PIB total en 2014 fue Col $756,1 billones, o US$377,9 miles de millones a la tasa de cambio promedio de 2014 (1 US d\u00f3lar = 2000,6 pesos colombianos). En 2014, se alcanz\u00f3 un nivel de ingreso per c\u00e1pita de Col $15.864.953 o US$7.930. La tasa de crecimiento desde 2008 ha sido en promedio 4.3% (o 3.1% por persona). ", + "country.show.economic_structure.copy.p2": "Los servicios empresariales y financieros son el sector m\u00e1s grande, con una contribuci\u00f3n al PIB de 18,8%, seguidos por los servicios de gobierno, sociales y personales (16,5%) y las actividades manufactureras (11,2%). Bogot\u00e1 D.C., Antioquia y el Valle del Cauca concentran aproximadamente la mitad de la actividad productiva, con participaciones en el PIB de 24,7, 13,1 y 9,2%, respectivamente. Sin embargo, los departamentos con m\u00e1s alto PIB per c\u00e1pita son Casanare y Meta, ambos importantes productores de petr\u00f3leo. Los gr\u00e1ficos siguientes presentan m\u00e1s detalles.", + "country.show.employment_wage_occupation": "Empleo formal, ocupaciones y salarios", + "country.show.employment_wage_occupation.copy.p1": "En 2014, aproximadamente 21,6 millones de personas fueron ocupadas en empleos formales o informales, con un leve aumento respecto al a\u00f1o anterior (21,1 millones). Los registros de la PILA, que cubren el universo de los trabajadores que hacen contribuciones al sistema de seguridad social, indican que 13,3 millones de personas estuvieron ocupadas en alg\u00fan momento en empleos formales en 2013. Teniendo en cuenta el n\u00famero de meses empleados, el n\u00famero efectivo de trabajadores-a\u00f1o en el sector formal en 2013 fue 6,7 millones. Bogot\u00e1 DC, Antioquia y el Valle del Cauca generan, respectivamente 32,7, 16,7, and 10,7% del empleo formal (efectivo).", + "country.show.employment_wage_occupation.copy.p2": "Los siguientes gr\u00e1ficos ofrecen informaci\u00f3n m\u00e1s detallada de los patrones de empleo formal y los salarios pagados seg\u00fan los registros de PILA. Tambi\u00e9n se incluye informaci\u00f3n de vacantes anunciadas y salarios ofrecidos por ocupaci\u00f3n, calculados a partir de los anuncios colocados por empresas en sitios de Internet durante 2014.", + "country.show.export_complexity_possibilities": "Complejidad de las exportaciones y posibilidades de exportaci\u00f3n", + "country.show.export_complexity_possibilities.copy.p1": "El concepto de complejidad de las exportaciones es an\u00e1logo al de complejidad de los sectores sectorial presentado arriba, pero referido ahora a las exportaciones. Se mide mediante el \u00cdndice de Complejidad del Producto. Se ha comprobado que los pa\u00edses que exportan productos que son relativamente complejos con respecto a su nivel de desarrollo tienden a crecer m\u00e1s r\u00e1pido que los pa\u00edses que exportan bienes relativamente simples. Seg\u00fan la complejidad de su canasta exportadora en 2013, Colombia ocupa el puesto 53 entre 124 pa\u00edses. La tasa de crecimiento proyectada para Colombia con base en su complejidad y su nivel de desarrollo es 3,3% por a\u00f1o en el per\u00edodo 2013-2023.", + "country.show.export_complexity_possibilities.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los productos de exportaci\u00f3n\" (o mapa de los productos) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud tecnol\u00f3gica entre todos los productos de exportaci\u00f3n, seg\u00fan los patrones de exportaci\u00f3n de todos los pa\u00edses. Cada punto o nodo representa un producto; los nodos conectados entre s\u00ed requieren capacidades productivas semejantes. Los productos que est\u00e1n m\u00e1s conectados tienden a agruparse en el centro de la red, lo cual implica que las capacidades que ellos usan pueden ser utilizadas en la producci\u00f3n de muchos otros productos.", + "country.show.export_complexity_possibilities.copy.p3": "Los puntos que aparecen destacados representan productos que Colombia exporta en cantidades relativamente importantes (m\u00e1s exactamente, con ventaja comparativa revelada mayor de uno, v\u00e9ase el Glosario). Los colores representan grupos de productos (son los mismos colores usados para los sectores correspondientes en el mapa de similitud tecnol\u00f3gica presentado arriba). El gr\u00e1fico que aparece m\u00e1s abajo, junto con el cuadro que lo acompa\u00f1a, indica qu\u00e9 productos ofrecen las mejores posibilidades para Colombia, dadas las capacidades productivas que ya tiene el pa\u00eds y que tan \u2018distantes\u2019 son esas capacidades de las que requieren para exportar otras cosas. ", + "country.show.exports": "Exportaciones", + "country.show.exports.copy.p1": "Colombia export\u00f3 US$54,8 miles de millones en 2014, comparado con $58,8 miles de millones en 2013 y $60,1 miles de millones en 2012. Sus principales destinos de exportaci\u00f3n son los Estados Unidos, Venezuela, Ecuador y Per\u00fa. En 2014, los productos mineros (entre los cuales, petr\u00f3leo, carb\u00f3n y ferron\u00edquel son los m\u00e1s importantes) representaron 59,3% de las exportaciones totales de bienes; los productos manufacturados 35,6%, y los productos agr\u00edcolas 4,6%. Los siguientes gr\u00e1ficos presentan m\u00e1s detalles.", + "country.show.exports_composition_by_department": "Composici\u00f3n de las exportaciones por departamento ({{year}})", + "country.show.exports_composition_by_products": "Composici\u00f3n de las exportaciones ({{year}})", + "country.show.gdp": "Col $756,152 bill", + "country.show.gdp_per_capita": "Col $15.864.953", + "country.show.industry_complex": "Complejidad de los sectores productivos", + "country.show.industry_complex.copy.p1": "La complejidad de los sectores productivos, que se cuantifica mediante el \u00cdndice de Complejidad del Sector, es una media de la amplitud de las capacidades y habilidades \u2013know-how\u2013 que se requiere en un sector productivo. Se dice que sectores tales como qu\u00edmicos o maquinaria son altamente complejos porque requieren un nivel sofisticado de conocimientos productivos que solo es factible encontrar en grandes empresas donde interact\u00faa un n\u00famero de individuos altamente capacitados. En contraste, sectores como el comercio minorista o restaurantes requieren solo niveles b\u00e1sicos de capacitaci\u00f3n que pueden encontrarse incluso en una peque\u00f1a empresa familiar. Los sectores m\u00e1s complejos son m\u00e1s productivos y contribuyen m\u00e1s a elevar el ingreso per c\u00e1pita. Los departamentos y ciudades con sectores m\u00e1s complejos tienen una base productiva m\u00e1s diversificada y tienden a crear m\u00e1s empleo formal.", + "country.show.industry_complex.copy.p2": "El \"mapa de similitud tecnol\u00f3gica de los sectores\" (o mapa de los sectores) que se presenta enseguida es una representaci\u00f3n gr\u00e1fica de la similitud de las capacidades y habilidades entre pares de sectores. Cada punto (o nodo) representa un sector; los nodos conectados por l\u00edneas requieren capacidades semejantes. Los sectores con m\u00e1s conexiones usan capacidades que pueden ser utilizadas en muchos otros sectores. Los colores representan grupos de sectores.", + "country.show.industry_space": "Mapa de los sectores", + "country.show.nonag_farmsize": "", + "country.show.occupation.num_vac": "Vacantes anunciadas (2014)", + "country.show.population": "48,1 millones", + "country.show.product_space": "Mapa de los productos", + "country.show.total": "Totales", + "ctas.csv": "CSV", + "ctas.download": "Descargue estos datos", + "ctas.embed": "Insertar", + "ctas.excel": "Excel", + "ctas.export": "Exportar", + "ctas.facebook": "Facebook", + "ctas.pdf": "PDF", + "ctas.png": "PNG", + "ctas.share": "Compartir", + "ctas.twitter": "Twitter", + "currency": "Col$", + "decimal_delmiter": ",", + "downloads.cta_download": "Descargar", + "downloads.cta_na": "No disponible", + "downloads.head": "Acerca de los datos", + "downloads.industry_copy": "La Planilla Integrada de Aportes Laborales, PILA, del Ministerio de Salud, es la fuente principal de los datos por sector. Contiene informaci\u00f3n de empleo formal, salarios y n\u00famero de empresas por municipio y sector. La clasificaci\u00f3n sectorial de Colombia es una versi\u00f3n modificada de la Clasificaci\u00f3n Sectorial Internacional Uniforme de todas las Actividades Econ\u00f3micas (CIIU). La lista de los sectores productivos puede verse en las bases de datos descargables de sectores. Puede descargarse aqu\u00ed un archivo con la lista de los sectores productivos del CIIU los cu\u00e1les no aparecen representados en el mapa de los sectores (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.industry_head": "Datos de sectores productivos (PILA)", + "downloads.industry_row_1": "Empleo, salarios, n\u00famero de empresas e indicadores de complejidad productiva ({{yearRange}})", + "downloads.list_of_cities.header": "Listas de departamentos, ciudades y municipios", + "downloads.map.cell": "Datos del mapa", + "downloads.map.header": "Mapa", + "downloads.occupations_copy": "Todos los datos sobre las ocupaciones (salarios ofrecidos por ocupaci\u00f3n y sector, y estructura ocupacional por sector) provienen de los anuncios de vacantes de empleo colocados por las empresas en los sitios de empleo de Internet p\u00fablicos y privados. Las ocupaciones se clasifican de acuerdo con el \u00cdndice Num\u00e9rico de la Red Ocupacional (ONET). Los datos fueron procesados \u200b\u200bpor Jeisson Arley Rubio C\u00e1rdenas, investigador de la Universidad del Rosario, Bogot\u00e1, y Jaime Mauricio Monta\u00f1a Doncel, estudiante de maestr\u00eda en la Escuela de Econom\u00eda de Par\u00eds.", + "downloads.occupations_head": "Datos de ocupaciones", + "downloads.occupations_row_1": "Vacantes laborales y salarios ofrecidos (2014)", + "downloads.other_copy": "El Departamento Administrativo Nacional de Estad\u00edstica, DANE, es la fuente de todos los datos sobre el PIB y la poblaci\u00f3n.", + "downloads.other_head": "Otros datos (DANE)", + "downloads.other_row_1": "PIB y variables demogr\u00e1ficas", + "downloads.thead_departments": "Departamentos", + "downloads.thead_met": "Ciudades", + "downloads.thead_muni": "Municipios", + "downloads.thead_national": "Nacional", + "downloads.trade_copy": "La fuente de todos los datos sobre las exportaciones e importaciones por departamento y municipio es la Direcci\u00f3n de Impuestos y Aduanas Nacionales, DIAN. Colombia utiliza la nomenclatura arancelaria NANDINA, la cual calza a los seis d\u00edgitos con el Sistema Armonizado (SA) de clasificaci\u00f3n internacional de productos. Eso lo estandarizamos despu\u00e9s a SA (HS) 1992 para resolver cualquier inconsistencia entre las versiones a trav\u00e9s de los a\u00f1os, de manera tal que los datos se puedan visualizar en el tiempo. La lista de partidas arancelarias puede verse en las bases de datos descargables de exportaci\u00f3n e importaci\u00f3n.

El origen de las exportaciones se establece en dos etapas. Primero, se define el departamento de origen como es el \u00faltimo lugar donde tuvieron alg\u00fan procesamiento, ensamblaje o empaque, seg\u00fan la DIAN. Luego, se distribuyen los valores entre municipios seg\u00fan la composici\u00f3n del empleo de la firma correspondiente con base en la PILA (para las firmas sin esta informaci\u00f3n se asign\u00f3 el valor total a la capital del departamento). En el caso de las exportaciones de petr\u00f3leo (2709) y gas (2711), los valores totales se distribuyeron por origen seg\u00fan la producci\u00f3n por municipios (Agencia Nacional de Hidrocarburos y Asociaci\u00f3n Colombiana de Petr\u00f3leo) y en el caso de las exportaciones de refinados de petr\u00f3leo (2710) seg\u00fan el valor agregado por municipio (sectores 2231, 2322 y 2320 CIIU revisi\u00f3n 3, Encuesta Anual Manufacturera, DANE).

Los totales de exportaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las exportaciones sin informaci\u00f3n sobre el sector del exportador y/o el departamento o municipio de origen, y (b) las exportaciones que en los datos de la DIAN tienen como destino las zonas francas; mientras que quedan incluidas: (c) las exportaciones de las zonas francas, que la DIAN no incluye en dichos totales.

De forma semejante, los totales de importaci\u00f3n por partida arancelaria pueden no corresponder a los datos oficiales porque quedan excluidas: (a) las importaciones sin informaci\u00f3n sobre el departamento o municipio de destino, y (b) las importaciones que en los datos de la DIAN tienen como origen las zonas francas; mientras que quedan incluidas: (c) las importaciones realizadas por las zonas francas, que la DIAN no incluye en dichos totales.

El archivo que describe la correspondencia entre la versi\u00f3n del Sistema Armonizado (HS) utilizado por la DIAN y su revisi\u00f3n de 1992 puede encontrarse aqu\u00ed.

Tambi\u00e9n puede descargarse aqu\u00ed un archivo con la lista de los productos del Sistema Armonizado los cu\u00e1les no aparecen representados en el mapa del producto (por razones que se explican en los M\u00e9todos de C\u00e1lculo).", + "downloads.trade_head": "Datos de exportaciones e importaciones (DIAN)", + "downloads.trade_row_1": "Exportaciones, importaciones e indicadores de complejidad ({{yearRange}})", + "downloads.trade_row_2": "Exportaciones e importaciones con origen y destino ({{yearRange}})", + "first_year": "2008", + "general.export_and_import": "Productos", + "general.geo": "Mapa geogr\u00e1fico", + "general.glossary": "Glosario", + "general.industries": "Sectores", + "general.industry": "sector", + "general.location": "lugar", + "general.locations": "Lugares", + "general.multiples": "Gr\u00e1ficos de \u00e1reas", + "general.occupation": "ocupaci\u00f3n", + "general.occupations": "Ocupaciones", + "general.product": "producto", + "general.scatter": "Gr\u00e1fico de dispersi\u00f3n", + "general.similarity": "mapa de los sectores", + "general.total": "Totales", + "general.treemap": "Gr\u00e1fico de composici\u00f3n", + "geomap.center": "4.6,-74.06", + "glossary.head": "Glosario", + "graph_builder.builder_mod_header.agproduct.departments.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.departments.land_sown": "", + "graph_builder.builder_mod_header.agproduct.departments.production_tons": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_harvested": "", + "graph_builder.builder_mod_header.agproduct.municipalities.land_sown": "", + "graph_builder.builder_mod_header.agproduct.municipalities.production_tons": "", + "graph_builder.builder_mod_header.industry.cities.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.cities.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.cities.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.departments.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.departments.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.departments.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.locations.employment": "Empleo total", + "graph_builder.builder_mod_header.industry.locations.wage_avg": "Salarios mensuales promedio, Col$", + "graph_builder.builder_mod_header.industry.locations.wages": "N\u00f3mina salarial, Col$", + "graph_builder.builder_mod_header.industry.occupations.num_vacancies": "Total de vacantes", + "graph_builder.builder_mod_header.landUse.departments.area": "", + "graph_builder.builder_mod_header.landUse.municipalities.area": "", + "graph_builder.builder_mod_header.location.agproducts.land_harvested": "", + "graph_builder.builder_mod_header.location.agproducts.land_sown": "", + "graph_builder.builder_mod_header.location.agproducts.production_tons": "", + "graph_builder.builder_mod_header.location.farmtypes.num_farms": "", + "graph_builder.builder_mod_header.location.industries.employment": "Empleo total", + "graph_builder.builder_mod_header.location.industries.scatter": "Complejidad, distancia y valor estrat\u00e9gico de sectores potenciales ", + "graph_builder.builder_mod_header.location.industries.similarity": "Sectores con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.location.industries.wages": "Salarios totales", + "graph_builder.builder_mod_header.location.landUses.area": "", + "graph_builder.builder_mod_header.location.livestock.num_farms": "", + "graph_builder.builder_mod_header.location.livestock.num_livestock": "", + "graph_builder.builder_mod_header.location.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.partners.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.location.products.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.location.products.scatter": "Complejidad, distancia y valor estrat\u00e9gico de exportaciones potenciales", + "graph_builder.builder_mod_header.location.products.similarity": "Exportaciones con ventaja comparativa revelada >1 (con color) y <1 (gris)", + "graph_builder.builder_mod_header.product.cities.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.cities.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.departments.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.departments.import_value": "Importaciones totales", + "graph_builder.builder_mod_header.product.partners.export_value": "Exportaciones totales", + "graph_builder.builder_mod_header.product.partners.import_value": "Importaciones totales", + "graph_builder.builder_nav.header": "M\u00e1s gr\u00e1ficos para este {{entity}}", + "graph_builder.builder_nav.intro": "Seleccione una pregunta para ver el gr\u00e1fico correspondiente. Si en la pregunta faltan par\u00e1metros ({{icon}}), los podr\u00e1 llenar cuando haga click.", + "graph_builder.builder_questions.city": "Preguntas: ciudades", + "graph_builder.builder_questions.department": "Preguntas: departamentos", + "graph_builder.builder_questions.employment": "Preguntas: empleo", + "graph_builder.builder_questions.export": "Preguntas: exportaciones", + "graph_builder.builder_questions.import": "Preguntas: importaciones", + "graph_builder.builder_questions.industry": "Preguntas: sectores", + "graph_builder.builder_questions.landUse": "", + "graph_builder.builder_questions.location": "Preguntas: lugares", + "graph_builder.builder_questions.occupation": "Preguntas: ocupaciones", + "graph_builder.builder_questions.partner": "Preguntas: socios comerciales", + "graph_builder.builder_questions.product": "Preguntas: productos de exportaci\u00f3n", + "graph_builder.builder_questions.wage": "Preguntas: n\u00f3mina salarial", + "graph_builder.change_graph.geo_description": "Mapea los datos", + "graph_builder.change_graph.label": "Cambie el gr\u00e1fico", + "graph_builder.change_graph.multiples_description": "Muestra el crecimiento en varios per\u00edodos", + "graph_builder.change_graph.scatter_description": "Muestra la complejidad y la distancia", + "graph_builder.change_graph.similarity_description": "Presenta las ventajas comparativas reveladas", + "graph_builder.change_graph.treemap_description": "Muestra la descomposici\u00f3n en varios niveles", + "graph_builder.change_graph.unavailable": "Este gr\u00e1fico no est\u00e1 disponible para esta pregunta", + "graph_builder.download.agproduct": "", + "graph_builder.download.area": "", + "graph_builder.download.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.download.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.download.code": "C\u00f3digo", + "graph_builder.download.cog": "Valor estrat\u00e9gico", + "graph_builder.download.complexity": "Complejidad", + "graph_builder.download.distance": "Distancia", + "graph_builder.download.eci": "Complejidad exportadora", + "graph_builder.download.employment": "Empleo", + "graph_builder.download.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.download.export": "Exportaci\u00f3n", + "graph_builder.download.export_num_plants": "N\u00famero de empresas", + "graph_builder.download.export_rca": "Ventaja comparativa revelada", + "graph_builder.download.export_value": "Exportaciones, USD", + "graph_builder.download.farmtype": "", + "graph_builder.download.gdp_pc_real": "PIB per c\u00e1pita, Col $", + "graph_builder.download.gdp_real": "PIB, Col $", + "graph_builder.download.import_value": "Importaciones, USD", + "graph_builder.download.industry": "Sector", + "graph_builder.download.industry_eci": "Complejidad sectorial", + "graph_builder.download.land_harvested": "", + "graph_builder.download.land_sown": "", + "graph_builder.download.land_use": "", + "graph_builder.download.less_than_5": "Menos de 5", + "graph_builder.download.livestock": "", + "graph_builder.download.location": "Lugar", + "graph_builder.download.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.download.name": "Nombre", + "graph_builder.download.num_establishments": "N\u00famero de empresas", + "graph_builder.download.num_farms": "", + "graph_builder.download.num_livestock": "", + "graph_builder.download.num_vacancies": "Vacantes", + "graph_builder.download.occupation": "Ocupaci\u00f3n", + "graph_builder.download.parent": "Grupo", + "graph_builder.download.population": "Poblaci\u00f3n", + "graph_builder.download.production_tons": "", + "graph_builder.download.rca": "Ventaja comparativa revelada", + "graph_builder.download.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.download.wages": "N\u00f3mina salarial total, Col$ ", + "graph_builder.download.year": "A\u00f1o", + "graph_builder.download.yield_index": "", + "graph_builder.download.yield_ratio": "", + "graph_builder.explanation": "Explicaci\u00f3n", + "graph_builder.explanation.agproduct.departments.land_harvested": "", + "graph_builder.explanation.agproduct.departments.land_sown": "", + "graph_builder.explanation.agproduct.departments.production_tons": "", + "graph_builder.explanation.agproduct.municipalities.land_harvested": "", + "graph_builder.explanation.agproduct.municipalities.land_sown": "", + "graph_builder.explanation.agproduct.municipalities.production_tons": "", + "graph_builder.explanation.hide": "Oculte", + "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.cities.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.departments.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", + "graph_builder.explanation.industry.occupations.num_vacancies": "Muestra la composici\u00f3n de las vacantes anunciadas en sitios de Internet y los salarios ofrecidos.", + "graph_builder.explanation.landUse.departments.area": "", + "graph_builder.explanation.landUse.municipalities.area": "", + "graph_builder.explanation.location.agproducts.land_harvested": "", + "graph_builder.explanation.location.agproducts.land_sown": "", + "graph_builder.explanation.location.agproducts.production_tons": "", + "graph_builder.explanation.location.farmtypes.num_farms": "", + "graph_builder.explanation.location.industries.employment": "Muestra la composici\u00f3n sectorial del empleo formal del departamento. Fuente: PILA.", + "graph_builder.explanation.location.industries.scatter": "Cada punto representa un sector productivo. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del lugar en ese sector. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad sectorial y el eje horizontal es la distancia tecnol\u00f3gica para que el sector se desarrolle, dadas las capacidades que ya existen en el lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del sector para el lugar, es decir qu\u00e9 tanto puede contribuir el sector al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles en otros sectores. Los sectores m\u00e1s atractivos son los ubicados arriba y a la izquierda, especialmente si los puntos que los representan son grandes. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.similarity": "El mapa de similitud tecnol\u00f3gica de los sectores (o mapa de los sectores) muestra qu\u00e9 tan similares son los conocimientos requeridos por unos sectores y otros. Cada punto representa un sector productivo y cada enlace entre un par de sectores indica que requieren capacidades productivas similares. Los puntos coloreados son sectores con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en el cuadro que sigue). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros sectores. Fuente: c\u00e1lculos del CID con datos de PILA. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los t\u00e9rminos).", + "graph_builder.explanation.location.industries.wages": "Muestra la composici\u00f3n sectorial de la n\u00f3mina salarial del departamento o ciudad. Fuente: PILA.", + "graph_builder.explanation.location.landUses.area": "", + "graph_builder.explanation.location.livestock.num_farms": "", + "graph_builder.explanation.location.livestock.num_livestock": "", + "graph_builder.explanation.location.partners.export_value": "Muestra la composici\u00f3n de las exportaciones de este lugar por pa\u00eds de destino, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.partners.import_value": "Muestra la composici\u00f3n de las importaciones de este lugar por pa\u00eds de origen, agrupados por regiones del mundo. Fuente: DIAN.", + "graph_builder.explanation.location.products.export_value": "Muestra la composici\u00f3n de las exportaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.import_value": "Muestra la composici\u00f3n de las importaciones del departamento o ciudad. Los colores representan grupos de productos (v\u00e9ase el cuadro). Fuente: DIAN.", + "graph_builder.explanation.location.products.scatter": "Cada punto representa un producto de exportaci\u00f3n. Cuando se selecciona un punto aparece el nombre y la ventaja comparativa revelada del departamento o ciudad en ese producto. Los colores de los puntos representan grupos de sectores (v\u00e9ase el c\u00f3digo de colores en la tabla que sigue). El eje vertical es el \u00edndice de complejidad del producto y el eje horizontal es la distancia tecnol\u00f3gica para poder exportar un producto, dadas las capacidades que ya existen en el lugar. La l\u00ednea discontinua es el \u00edndice de complejidad sectorial promedio del lugar. El tama\u00f1o de los puntos es proporcional al valor estrat\u00e9gico del producto para el departamento o ciudad, es decir qu\u00e9 tanto puede contribuir el producto al aumento del \u00edndice de complejidad del lugar a trav\u00e9s de nuevas capacidades productivas que pueden ser \u00fatiles para otras exportaciones. Las exportaciones m\u00e1s atractivas de desarrollar son las ubicadas arriba y a la izquierda, especialmente si los puntos que las representan son grandes. Fuente: c\u00e1lculos del CID con datos de la DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.location.products.similarity": "El mapa de similitud tecnol\u00f3gica de los productos (o mapa de los productos) muestra que tan similares son los conocimientos requeridos por unos productos y otros. Cada punto representa un producto de exportaci\u00f3n y cada enlace entre un par de productos indica que requieren capacidades productivas similares. Los puntos coloreados son exportaciones con ventaja comparativa revelada (VCR) mayor que uno en el departamento o ciudad. Los colores de los puntos representan grupos de productos (v\u00e9ase el cuadro). Cuando se selecciona un punto aparece su nombre, su VCR y sus enlaces a otros productos. Fuente: c\u00e1lculos del CID con datos de DIAN. (En el glosario se encuentran explicaciones m\u00e1s detalladas de los conceptos).", + "graph_builder.explanation.product.cities.export_value": "Muestra la composici\u00f3n por ciudades de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.cities.import_value": "Muestra la composici\u00f3n por ciudades de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.export_value": "Muestra la composici\u00f3n por departamentos de las exportaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.departments.import_value": "Muestra la composici\u00f3n por departamentos de las importaciones de este producto. Fuente: DIAN.", + "graph_builder.explanation.product.partners.export_value": "Muestra el destino de las exportaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", + "graph_builder.explanation.show": "Muestre m\u00e1s", + "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.page_title.agproduct.departments.land_harvested": "", + "graph_builder.page_title.agproduct.departments.land_sown": "", + "graph_builder.page_title.agproduct.departments.production_tons": "", + "graph_builder.page_title.agproduct.municipalities.land_harvested": "", + "graph_builder.page_title.agproduct.municipalities.land_sown": "", + "graph_builder.page_title.agproduct.municipalities.production_tons": "", + "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.departments.employment": "\u00bfQu\u00e9 departamentos en Colombia ocupan m\u00e1s gente en este sector?", + "graph_builder.page_title.industry.departments.wages": "\u00bfQu\u00e9 departamentos en Colombia tienen las mayores n\u00f3minas salariales en este sector?", + "graph_builder.page_title.industry.occupations.num_vacancies": "\u00bfQu\u00e9 ocupaciones demanda este sector?", + "graph_builder.page_title.landUse.departments.area": "", + "graph_builder.page_title.landUse.municipalities.area": "", + "graph_builder.page_title.location.agproducts.land_harvested.country": "", + "graph_builder.page_title.location.agproducts.land_harvested.department": "", + "graph_builder.page_title.location.agproducts.land_harvested.municipality": "", + "graph_builder.page_title.location.agproducts.land_sown.country": "", + "graph_builder.page_title.location.agproducts.land_sown.department": "", + "graph_builder.page_title.location.agproducts.land_sown.municipality": "", + "graph_builder.page_title.location.agproducts.production_tons.country": "", + "graph_builder.page_title.location.agproducts.production_tons.department": "", + "graph_builder.page_title.location.agproducts.production_tons.municipality": "", + "graph_builder.page_title.location.destination_by_product.export_value.department": "\u00bfA qu\u00e9 pa\u00edses env\u00eda este departamento sus exportaciones de petr\u00f3leo?", + "graph_builder.page_title.location.destination_by_product.import_value.department": "\u00bfDe qu\u00e9 pa\u00edses recibe este departamento sus importaciones de veh\u00edculos?", + "graph_builder.page_title.location.farmtypes.num_farms.country": "", + "graph_builder.page_title.location.farmtypes.num_farms.department": "", + "graph_builder.page_title.location.farmtypes.num_farms.municipality": "", + "graph_builder.page_title.location.industries.employment.country": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en Colombia?", + "graph_builder.page_title.location.industries.employment.department": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este departamento?", + "graph_builder.page_title.location.industries.employment.msa": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en esta ciudad?", + "graph_builder.page_title.location.industries.employment.municipality": "\u00bfQu\u00e9 sectores generan m\u00e1s empleo en este municipio?", + "graph_builder.page_title.location.industries.scatter.country": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en Colombia?", + "graph_builder.page_title.location.industries.scatter.department": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este departamento?", + "graph_builder.page_title.location.industries.scatter.msa": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en esta ciudad?", + "graph_builder.page_title.location.industries.scatter.municipality": "\u00bfQu\u00e9 sectores relativamente complejos podr\u00edan desarrollarse m\u00e1s en este municipio?", + "graph_builder.page_title.location.industries.similarity.country": "\u00bfC\u00f3mo es el mapa de los sectores de Colombia?", + "graph_builder.page_title.location.industries.similarity.department": "\u00bfC\u00f3mo es el mapa de los sectores de este departamento?", + "graph_builder.page_title.location.industries.similarity.msa": "\u00bfC\u00f3mo es el mapa de los sectores de esta ciudad?", + "graph_builder.page_title.location.industries.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los sectores de este municipio?", + "graph_builder.page_title.location.industries.wages.country": "\u00bfQu\u00e9 sectores en Colombia tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.department": "\u00bfQu\u00e9 sectores en este departamento tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.msa": "\u00bfQu\u00e9 sectores en esta ciudad tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.industries.wages.municipality": "\u00bfQu\u00e9 sectores en este municipio tienen las mayores n\u00f3minas salariales?", + "graph_builder.page_title.location.landUses.area.country": "", + "graph_builder.page_title.location.landUses.area.department": "", + "graph_builder.page_title.location.landUses.area.municipality": "", + "graph_builder.page_title.location.livestock.num_farms.country": "", + "graph_builder.page_title.location.livestock.num_farms.department": "", + "graph_builder.page_title.location.livestock.num_farms.municipality": "", + "graph_builder.page_title.location.livestock.num_livestock.country": "", + "graph_builder.page_title.location.livestock.num_livestock.department": "", + "graph_builder.page_title.location.livestock.num_livestock.municipality": "", + "graph_builder.page_title.location.partners.export_value.country": "\u00bfA qu\u00e9 pa\u00edses exporta Colombia?", + "graph_builder.page_title.location.partners.export_value.department": "\u00bfA qu\u00e9 pa\u00edses exporta este departamento?", + "graph_builder.page_title.location.partners.export_value.msa": "\u00bfA qu\u00e9 pa\u00edses exporta esta ciudad?", + "graph_builder.page_title.location.partners.export_value.municipality": "\u00bfA qu\u00e9 pa\u00edses exporta este municipio?", + "graph_builder.page_title.location.partners.import_value.country": "\u00bfDe d\u00f3nde vienen las importaciones de Colombia?", + "graph_builder.page_title.location.partners.import_value.department": "\u00bfDe d\u00f3nde vienen las importaciones de este departamento?", + "graph_builder.page_title.location.partners.import_value.msa": "\u00bfDe d\u00f3nde vienen las importaciones de esta ciudad?", + "graph_builder.page_title.location.partners.import_value.municipality": "\u00bfDe d\u00f3nde vienen las importaciones de este municipio?", + "graph_builder.page_title.location.products.export_value.country": "\u00bfQu\u00e9 productos exporta Colombia?", + "graph_builder.page_title.location.products.export_value.department": "\u00bfQu\u00e9 productos exporta este departamento?", + "graph_builder.page_title.location.products.export_value.msa": "\u00bfQu\u00e9 productos exporta esta ciudad?", + "graph_builder.page_title.location.products.export_value.municipality": "\u00bfQu\u00e9 productos exporta este municipio?", + "graph_builder.page_title.location.products.import_value.country": "\u00bfQu\u00e9 productos importa Colombia?", + "graph_builder.page_title.location.products.import_value.department": "\u00bfQu\u00e9 productos importa este departamento?", + "graph_builder.page_title.location.products.import_value.msa": "\u00bfQu\u00e9 productos importa esta ciudad?", + "graph_builder.page_title.location.products.import_value.municipality": "\u00bfQu\u00e9 productos importa este municipio?", + "graph_builder.page_title.location.products.scatter.country": "\u00bfQu\u00e9 productos tienen el mayor potencial para Colombia?", + "graph_builder.page_title.location.products.scatter.department": "\u00bfQu\u00e9 productos tienen el mayor potencial para este departamento?", + "graph_builder.page_title.location.products.scatter.msa": "\u00bfQu\u00e9 productos tienen el mayor potencial para esta ciudad?", + "graph_builder.page_title.location.products.scatter.municipality": "\u00bfQu\u00e9 productos tienen el mayor potencial para este municipio?", + "graph_builder.page_title.location.products.similarity.country": "\u00bfC\u00f3mo es el mapa de los productos de Colombia?", + "graph_builder.page_title.location.products.similarity.department": "\u00bfC\u00f3mo es el mapa de los productos de este departamento?", + "graph_builder.page_title.location.products.similarity.msa": "\u00bfC\u00f3mo es el mapa de los productos de esta ciudad?", + "graph_builder.page_title.location.products.similarity.municipality": "\u00bfC\u00f3mo es el mapa de los productos de este municipio?", + "graph_builder.page_title.product.cities.export_value": "\u00bfQu\u00e9 ciudades en Colombia exportan este producto?", + "graph_builder.page_title.product.cities.import_value": "\u00bfQu\u00e9 ciudades en Colombia importan este producto?", + "graph_builder.page_title.product.departments.export_value": "\u00bfQu\u00e9 departamentos en Colombia exportan este producto?", + "graph_builder.page_title.product.departments.import_value": "\u00bfQu\u00e9 departamentos en Colombia importan este producto?", + "graph_builder.page_title.product.partners.export_value": "\u00bfA d\u00f3nde exporta Colombia este producto?", + "graph_builder.page_title.product.partners.export_value.destination": "\u00bfA qu\u00e9 pa\u00edses env\u00eda {{location}} sus exportaciones de {{product}}?", + "graph_builder.page_title.product.partners.import_value": "\u00bfDe d\u00f3nde importa Colombia este producto?", + "graph_builder.page_title.product.partners.import_value.origin": "\u00bfDe qu\u00e9 pa\u00edses recibe {{location}} sus importaciones de {{product}}?", + "graph_builder.questions.label": "Cambiar pregunta", + "graph_builder.recirc.header.industry": "Lea el perfil de este sector", + "graph_builder.recirc.header.location": "Lea el perfil de este lugar", + "graph_builder.recirc.header.product": "Lea el perfil de este producto", + "graph_builder.search.placeholder.agproducts": "", + "graph_builder.search.placeholder.cities": "Destaque una ciudad en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.departments": "Destaque un departamento en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.farmtypes": "", + "graph_builder.search.placeholder.industries": "Destaque un sector en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.landUses": "", + "graph_builder.search.placeholder.livestock": "", + "graph_builder.search.placeholder.locations": "Destaque un lugar en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.municipalities": "", + "graph_builder.search.placeholder.occupations": "Destaque una ocupaci\u00f3n en el gr\u00e1fico siguiente", + "graph_builder.search.placeholder.partners": "Resaltar socios comerciales en la gr\u00e1fica inferior", + "graph_builder.search.placeholder.products": "Destaque un producto en el gr\u00e1fico siguiente", + "graph_builder.search.submit": "Destacar", + "graph_builder.settings.change_time": "Cambiar per\u00edodo", + "graph_builder.settings.close_settings": "Archive y cierre", + "graph_builder.settings.label": "Cambiar caracter\u00edsticas", + "graph_builder.settings.rca": "Ventaja comparativa revelada", + "graph_builder.settings.rca.all": "Todo", + "graph_builder.settings.rca.greater": "> 1", + "graph_builder.settings.rca.less": "< 1", + "graph_builder.settings.to": "a", + "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year.next": "Siguiente", + "graph_builder.settings.year.previous": "Anterior", + "graph_builder.table.agproduct": "", + "graph_builder.table.area": "", + "graph_builder.table.average_wages": "Salario mensual promedio, Col$ ", + "graph_builder.table.avg_wage": "Salario mensual promedio, Col$ ", + "graph_builder.table.code": "C\u00f3digo", + "graph_builder.table.cog": "Valor estrat\u00e9gico", + "graph_builder.table.coi": "Complejidad exportadora potencial", + "graph_builder.table.complexity": "Complejidad", + "graph_builder.table.country": "Pa\u00eds", + "graph_builder.table.distance": "Distancia", + "graph_builder.table.eci": "Complejidad exportadora", + "graph_builder.table.employment": "Empleo", + "graph_builder.table.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "graph_builder.table.export": "Exportaci\u00f3n", + "graph_builder.table.export_num_plants": "N\u00famero de empresas", + "graph_builder.table.export_rca": "Ventaja comparativa revelada", + "graph_builder.table.export_value": "Exportaciones, USD", + "graph_builder.table.farmtype": "", + "graph_builder.table.gdp_pc_real": "PIB per c\u00e1pita", + "graph_builder.table.gdp_real": "PIB", + "graph_builder.table.import_value": "Importaciones, USD", + "graph_builder.table.industry": "Sector", + "graph_builder.table.industry_coi": "Complejidad sectorial potencial", + "graph_builder.table.industry_eci": "Complejidad sectorial", + "graph_builder.table.land_harvested": "", + "graph_builder.table.land_sown": "", + "graph_builder.table.land_use": "", + "graph_builder.table.less_than_5": "Menos de 5", + "graph_builder.table.livestock": "", + "graph_builder.table.location": "Lugar", + "graph_builder.table.monthly_wages": "Salario mensual promedio, Col$", + "graph_builder.table.name": "Nombre", + "graph_builder.table.num_establishments": "N\u00famero de empresas", + "graph_builder.table.num_farms": "", + "graph_builder.table.num_livestock": "", + "graph_builder.table.num_vacancies": "Vacantes", + "graph_builder.table.occupation": "Ocupaci\u00f3n", + "graph_builder.table.parent": "Grupo", + "graph_builder.table.parent.country": "Regi\u00f3n", + "graph_builder.table.population": "Poblaci\u00f3n", + "graph_builder.table.production_tons": "", + "graph_builder.table.rca": "Ventaja comparativa revelada", + "graph_builder.table.read_more": "\u00bfNo entiende alguno de estos t\u00e9rminos? Consulte el", + "graph_builder.table.share": "Participaci\u00f3n", + "graph_builder.table.wages": "N\u00f3mina salarial total, Col$ (miles)", + "graph_builder.table.year": "A\u00f1o", + "graph_builder.table.yield_index": "", + "graph_builder.table.yield_ratio": "", + "graph_builder.view_more": "Muestre m\u00e1s", + "header.destination": "Destino", + "header.destination_by_products": "Destinos por productos", + "header.employment": "Empleo", + "header.export": "Exportaciones", + "header.import": "Importaciones", + "header.industry": "Sectores", + "header.industry_potential": "Potencial", + "header.industry_space": "Mapa de los sectores ", + "header.landUse": "", + "header.land_harvested": "", + "header.land_sown": "", + "header.occupation": "Ocupaciones", + "header.occupation.available_jobs": "Vacantes anunciadas", + "header.origin": "Origen", + "header.origin_by_products": "Origen por productos", + "header.overview": "Resumen", + "header.partner": "Socios comerciales", + "header.product": "Productos ", + "header.product_potential": "Potencial", + "header.product_space": "Mapa de los productos", + "header.production_tons": "", + "header.region": "Por departamento", + "header.subregion": "Por ciudad", + "header.subsubregion": "", + "header.wage": "N\u00f3mina total", + "index.builder_cta": "Explore las gr\u00e1ficas sobre el caf\u00e9", + "index.builder_head": "Luego vaya al graficador", + "index.builder_subhead": "Haga sus propios gr\u00e1ficos y mapas", + "index.complexity_caption": "\u00bfQu\u00e9 tan bueno es este enfoque? Las predicciones de crecimiento basadas en la complejidad son seis veces m\u00e1s preocsas que las basadas en variables convencionales, como los \u00cdndice de Competitividad Mundial. ", + "index.complexity_cta": "Lea m\u00e1s sobre los conceptos de complejidad", + "index.complexity_figure.WEF_name": "\u00cdndice de Competitividad Mundial", + "index.complexity_figure.complexity_name": "\u00cdndice de complejidad econ\u00f3mica", + "index.complexity_figure.head": "Crecimiento econ\u00f3mico explicado (% de la varianza decenal)", + "index.complexity_head": "La ventaja de la complejidad", + "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", + "index.country_profile": "Lea el perfil de Colombia", + "index.dropdown.industries": "461,488", + "index.dropdown.locations": "41,87,34,40", + "index.dropdown.products": "1143,87", + "index.future_head": "Avizorando el futuro", + "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", + "index.graphbuilder.id": "87", + "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_head": "Colombia como usted nunca la ha visto", + "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.industry_head": "Ent\u00e9rese de un sector", + "index.industry_q1": "\u00bfD\u00f3nde emplea m\u00e1s gente la industria qu\u00edmica en Colombia?", + "index.industry_q1.id": "461", + "index.industry_q2": "\u00bfQu\u00e9 ocupaciones demanda la industria qu\u00edmica?", + "index.industry_q2.id": "461", + "index.location_head": "Aprenda sobre un lugar", + "index.location_q1": "\u00bfQu\u00e9 sectores emplean m\u00e1s gente en Bogot\u00e1 Met?", + "index.location_q1.id": "41", + "index.location_q2": "\u00bfQu\u00e9 exportaciones tienen el mayor potencial en Bogot\u00e1 Met?", + "index.location_q2.id": "41", + "index.location_viewall": "Vea todas las preguntas", + "index.present_head": "Mapeando el presente", + "index.present_subhead": "Utilice nuestros diagramas de composici\u00f3n para estudiar las exportaciones o el empleo formal de su departamento, su ciudad o su municipio.", + "index.product_head": "Aprenda sobre un producto de exportaci\u00f3n", + "index.product_q1": "\u00bfQu\u00e9 lugares de Colombia exportan computadores?", + "index.product_q1.id": "1143", + "index.product_q2": "\u00bfQu\u00e9 lugares de Colombia importan computadores?", + "index.product_q2.id": "1143", + "index.profile.id": "1", + "index.profiles_cta": "Lea el perfil de Antioquia", + "index.profiles_head": "Comience por los perfiles", + "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", + "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_subhead": "index.questions_subhead", + "index.research_head": "Investigaci\u00f3n mencionada en", + "industry.show.avg_wages": "Salarios promedio ({{year}})", + "industry.show.employment": "Empleo ({{year}})", + "industry.show.employment_and_wages": "Empleo formal y salarios", + "industry.show.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", + "industry.show.industries": "Sectores", + "industry.show.industry_composition": "Composici\u00f3n del sector ({{year}})", + "industry.show.occupation": "Ocupaciones", + "industry.show.occupation_demand": "Ocupaciones m\u00e1s demandadas en este sector, 2014", + "industry.show.value": "Valor", + "last_year": "2014", + "location.model.country": "Colombia", + "location.model.department": "departamento", + "location.model.msa": "ciudad", + "location.model.municipality": "municipio", + "location.show.ag_farmsize": "", + "location.show.all_departments": "Comparaci\u00f3n con otros departamentos", + "location.show.all_regions": "En comparaci\u00f3n con los otros lugares", + "location.show.bullet.gdp_grow_rate": "La tasa de crecimiento del PIB en el per\u00edodo {{yearRange}} fue {{gdpGrowth}}, comparada con 5,3% para toda Colombia.", + "location.show.bullet.gdp_pc": "El PIB per capita de {{name}} es {{lastGdpPerCapita}}, comparado con Col$15,1 millones para toda Colombia en 2014.", + "location.show.bullet.last_pop": "La poblaci\u00f3n es {{lastPop}} de personas, frente a 46,3 millones de personas en todo el pa\u00eds en 2014.", + "location.show.eci": "Complejidad exportadora", + "location.show.employment": "Empleo total ({{lastYear}})", + "location.show.employment_and_wages": "Empleo formal y salarios", + "location.show.export_possiblities": "Posibilidades de exportaci\u00f3n", + "location.show.export_possiblities.footer": "Los productos indicados pueden no ser viables debido a condiciones del lugar que no se consideran en el an\u00e1lisis de similitud tecnol\u00f3gica.", + "location.show.export_possiblities.intro": "Hemos encontrado que los pa\u00edses que exportan productos m\u00e1s complejos crecen m\u00e1s r\u00e1pido. Usando el \"mapa del producto\" presentado arriba, estamos destacando productos de alto potencial para {{name}}, ordenados por las mejores combinaciones de complejidad actual y valor estrat\u00e9gico.", + "location.show.exports": "Exportaciones ({{year}})", + "location.show.exports_and_imports": "Exportaciones e importaciones", + "location.show.gdp": "PIB", + "location.show.gdp_pc": "PIB per c\u00e1pita", + "location.show.growth_annual": "Tasa de crecimiento ({{yearRange}})", + "location.show.imports": "Importaciones ({{year}})", + "location.show.nonag_farmsize": "", + "location.show.overview": "", + "location.show.population": "Poblaci\u00f3n", + "location.show.subregion.exports": "Composici\u00f3n de exportaciones por municipio ({{year}})", + "location.show.subregion.imports": "Composici\u00f3n de importaciones por municipio ({{year}})", + "location.show.subregion.title": "Exportaciones e importaciones por municipio", + "location.show.total_wages": "N\u00f3mina salarial ({{lastYear}})", + "location.show.value": "Valor", + "pageheader.about": "Acerca de Datlas", + "pageheader.alternative_title": "Atlas de complejidad econ\u00f3mica", + "pageheader.brand_slogan": "Colombia como usted nunca la ha visto", + "pageheader.download": "Acerca de los datos", + "pageheader.graph_builder_link": "Graficador", + "pageheader.profile_link": "Perfil", + "pageheader.rankings": "Rankings", + "pageheader.search_link": "Buscar", + "pageheader.search_placeholder": "Busque un lugar, producto o sector", + "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.location": "Busque un lugar", + "pageheader.search_placeholder.product": "Busque un producto", + "rankings.explanation.body": "", + "rankings.explanation.title": "Explicaci\u00f3n", + "rankings.intro.p": "Comparaci\u00f3n entre departamentos o ciudades", + "rankings.pagetitle": "Rankings", + "rankings.section.cities": "Ciudades", + "rankings.section.departments": "Departamentos", + "rankings.table-title": "Posici\u00f3n", + "search.didnt_find": "\u00bfEncontr\u00f3 lo que buscaba? Nos interesa saber: Datlascolombia@bancoldex.com", + "search.header": "resultados", + "search.intro": "Busque el lugar, producto, sector u ocupaci\u00f3n que le interese", + "search.level.4digit": "Partida arancelaria (1992) a cuatro d\u00edgitos", + "search.level.class": "CIIU a cuatro d\u00edgitos", + "search.level.country": "Pa\u00eds", + "search.level.department": "Departamento", + "search.level.division": "CIIU a dos d\u00edgitos", + "search.level.msa": "Ciudad", + "search.level.municipality": "Municipio", + "search.level.parent.4digit": "Partida arancelaria (1992) a dos d\u00edgitos", + "search.level.parent.class": "CIIU a dos d\u00edgitos", + "search.level.parent.country": "Regi\u00f3n", + "search.placeholder": "Escriba aqu\u00ed para buscar lo que quiere", + "search.results_industries": "Sectores", + "search.results_locations": "Lugares", + "search.results_products": "Productos", + "table.export_data": "Descargar Datos", + "thousands_delimiter": "." +}; \ No newline at end of file diff --git a/app/styles/components/_components/_button.scss b/app/styles/components/_components/_button.scss index f6546b8a..5b136487 100755 --- a/app/styles/components/_components/_button.scss +++ b/app/styles/components/_components/_button.scss @@ -53,12 +53,13 @@ button::-moz-focus-inner { } .btn--search { - background: $colorRed; + background: none; color: $colorWhite; - box-shadow: inset 0 -5px $colorRedDark; + border: solid 1px $colorWhite; width: 10rem; &:hover { - background: $colorRedDark; + color: $colorWhite; + opacity: 0.8; } } diff --git a/app/styles/components/_components/_search.scss b/app/styles/components/_components/_search.scss index 0b3c930f..a40205d9 100755 --- a/app/styles/components/_components/_search.scss +++ b/app/styles/components/_components/_search.scss @@ -6,7 +6,7 @@ .search__wrap { display: inline-block; - width: 60%; + width: 100%; position: relative; .btn--search, .btn--buildermod { @@ -32,6 +32,7 @@ width: 100%; height: 100%; font-family: $sans; + border: solid 1px $colorWhite; &:active, &:focus { outline: 0; diff --git a/app/styles/components/_components/_typography.scss b/app/styles/components/_components/_typography.scss index db571215..daf53bd5 100755 --- a/app/styles/components/_components/_typography.scss +++ b/app/styles/components/_components/_typography.scss @@ -9,13 +9,13 @@ body { font-size: $fontBase; font-weight: 500; color: $colorGrayDark; - font-family: $serif; + font-family: $sans; } h1, h2, h3, h4, h5, p { margin: 0; padding: 0; - color: $colorBlack; + color: $colorWhite; } @@ -37,4 +37,4 @@ li > p { .fontSerif { font-family: $serif; font-style: normal !important; } .fontSansAlt { font-family: $sansAlt; font-style: normal !important; } .fontSansSC { font-family: $sansSC; text-transform: lowercase; font-style: normal !important; } -.fontSerifSC { font-family: $serifSC; text-transform: lowercase; font-style: normal !important; } \ No newline at end of file +.fontSerifSC { font-family: $serifSC; text-transform: lowercase; font-style: normal !important; } diff --git a/app/styles/components/_font-face.scss b/app/styles/components/_font-face.scss index 1f99f897..128afac0 100755 --- a/app/styles/components/_font-face.scss +++ b/app/styles/components/_font-face.scss @@ -14,6 +14,11 @@ font-style: normal; } +@font-face { + font-family: "RF Rufo"; + src: url('public/assets/font/RF_Rufo/RFRufo-Bold.ttf'); +} + [class^="icon-cidcon_"]::before, [class*=" icon-cidcon_"]::before { font-family: 'cidcons'; font-style: normal; diff --git a/app/styles/components/_modules/_builder.scss b/app/styles/components/_modules/_builder.scss index 4586109b..8626beb2 100755 --- a/app/styles/components/_modules/_builder.scss +++ b/app/styles/components/_modules/_builder.scss @@ -5,7 +5,8 @@ **/ .builder { - background: white; + background: $colorBase; + color: $colorWhite; } .builder__recirc { diff --git a/app/styles/components/_modules/_ember-table.scss b/app/styles/components/_modules/_ember-table.scss index 1f7b9678..10032ef1 100755 --- a/app/styles/components/_modules/_ember-table.scss +++ b/app/styles/components/_modules/_ember-table.scss @@ -10,7 +10,7 @@ } .ember-table-tables-container { - background: $colorGrayLightest; + background: $colorBase; border: none; margin-bottom: $baseSpace / 2; } diff --git a/app/styles/components/_modules/_index.scss b/app/styles/components/_modules/_index.scss index 0b410709..296620bc 100755 --- a/app/styles/components/_modules/_index.scss +++ b/app/styles/components/_modules/_index.scss @@ -9,7 +9,7 @@ } .index__section { - padding: 0 $baseSpace * 3; + padding: 0; display: relative; } @@ -44,7 +44,6 @@ .stream__head.index__head { margin-bottom: $baseSpace; max-width: 100rem; - font-size: $fontXLarge; } .index__search__wrap { @@ -186,8 +185,9 @@ // Research featured in media grid .index__featuredin__wrap { margin: 0 $baseSpace*3; - background: $colorBrown300; + background: $colorBase; padding: $baseSpace * 2; + margin-top: 5rem !important; } .index__featuredin__list { @@ -221,7 +221,10 @@ margin: 0 auto; .section__head { - margin: $baseSpace*1.75 0 $baseSpace 0; + margin: $baseSpace*3 0 $baseSpace*3 0; + color: $colorYellow; + text-transform: uppercase; + font-size: 5rem; } } @@ -329,7 +332,7 @@ .index__questions__link { font-size: $fontSmall; display: block; - + &.index__questions__link--viewall { font-style: italic; font-weight: 400; @@ -405,3 +408,97 @@ .index__featuredin__wrap { margin: 0; } + +.stream__section__wrap__yellow{ + color: $colorYellow; + text-transform: uppercase; + font-size: 4rem; +} + +.stream__section__wrap__white{ + color: $colorWhite; + text-transform: uppercase; + font-size: 5rem; +} + +.stream__section__subhead__wrap__white{ + color: $colorWhite; + text-transform: uppercase; +} + +.update__sections__head__wrap__white{ + color: $colorWhite; + text-transform: uppercase; + font-size: 3rem; +} + +.dropdown-update .ui-selectmenu-button{ + box-shadow: none; + width: 100% !important; + background: none; + color: $colorWhite; + border: solid 1px $colorWhite; + border-radius: 3px; +} + +.ui-selectmenu-button.ui-state-hover{ + background: none !important; + color: $colorWhite; + opacity: 0.8; +} + +.ui-menu-item{ + background: $colorBase !important; + color: $colorWhite !important; +} + +.section__message_dropbox{ + color: $colorYellow; +} + +.section__card-cian-sophistication_route{ + background: $colorSecondary; + height: 100%; + padding: 4rem; +} + +.section__card-cian-sophistication_route > h1,p{ + color: $colorBlack; +} + +.section__card-yellow > h1{ + color: $colorBlack; +} + +.section__card-yellow{ + background: $colorYellow; + padding: 4rem; +} + +.bordered-div-yellow{ + border: solid 1px $colorYellow; +} + +.section__card__wrap__yellow{ + color: $colorYellow; + text-transform: uppercase; + font-size: 8rem; +} + +.section__card__wrap__white{ + color: $colorWhite; + text-transform: uppercase; + font-size: 8rem; +} + +.section__card__profile{ + margin-top: 10rem; + margin-left: 8rem; + button{ + margin-top: 6rem; + } +} + +.btn-large{ + font-size: 3rem; +} diff --git a/app/styles/components/_modules/_layout.scss b/app/styles/components/_modules/_layout.scss index 62dc6afa..931a2ec0 100755 --- a/app/styles/components/_modules/_layout.scss +++ b/app/styles/components/_modules/_layout.scss @@ -6,7 +6,7 @@ .body { // height: 100%; - background: white; + background: $colorBase; border-bottom: 5px solid $colorRed; } diff --git a/app/styles/components/_modules/_pageheader.scss b/app/styles/components/_modules/_pageheader.scss index 293c8cb0..6840213d 100755 --- a/app/styles/components/_modules/_pageheader.scss +++ b/app/styles/components/_modules/_pageheader.scss @@ -5,26 +5,24 @@ **/ .header--pageheader { - background: $colorRed; - padding: 0 $baseSpace; + background: $colorBase; + color: $colorWhite; } .pageheader__wrap { - padding: $baseSpace/2 0; position: relative; - max-width: $xlarge; margin: auto; + padding: 6rem 12rem; } // Branding .branding { - height: 30px; + height: 100%; } .branding__logo { - width: 12rem; - margin-top: -5px; + height: 4rem; } .branding__slogan { @@ -216,11 +214,11 @@ .index__header__wrap { padding: $baseSpace*1.5 0 0 0; - max-width: $baseSpace*20; + max-width: fit-content; } .stream__head { - color: $colorRed; + color: $colorWhite; letter-spacing: 0; font-size: $fontXLarge; margin: $fontXLarge/3 0 $fontXLarge/3 0; @@ -268,7 +266,7 @@ background-color: $colorRed; } -.header--pageheader--home .pageheader__home__cap { display: block; } +.header--pageheader--home .pageheader__home__cap { display: none; } .stream__section .pageheader__home__cap { display: block; @@ -296,4 +294,32 @@ background: $colorWhite; } +.bordered-div{ + border: solid 1px $colorWhite; +} + +.pageheader__menu__item{ + color: $colorWhite; + text-transform: uppercase; + &:hover { + opacity: 0.8; + color: $colorWhite; + text-decoration: none; + } +} + +.index__header__wrap .index__header .stream__head{ + color: $colorYellow; + text-transform: uppercase; +} +.index__header__wrap .index__header .stream__subhead{ + color: $colorWhite; + text-transform: uppercase; + font-size: $fontLarge; +} + +.btn btn-outline-warning{ + color: $colorYellow; + border-color: $colorYellow; +} diff --git a/app/styles/components/_modules/_results.scss b/app/styles/components/_modules/_results.scss index d396fabb..481431e5 100755 --- a/app/styles/components/_modules/_results.scss +++ b/app/styles/components/_modules/_results.scss @@ -11,7 +11,7 @@ .results__head { font-size: $fontXLarge; - color: $colorRed; + color: $colorWhite; margin-bottom: $baseSpace*2; margin-top: $baseSpace; line-height: 100%; @@ -20,7 +20,7 @@ } .results__subhead { - color: $colorBlack; + color: $colorWhite; font-size: $fontLarge; @include offset-text; margin-top: $baseSpace; @@ -55,7 +55,7 @@ } .results__breadcrumb { - color: $colorBlack; + color: $colorWhite; font-size: $fontSmall; @include offset-text; @@ -65,7 +65,7 @@ &:after { content: '/'; margin-left: $baseSpace / 3; - color: $colorGray; + color: $colorWhite; } &:last-of-type { margin-right: 0; @@ -76,7 +76,7 @@ } .results__name { - color: $colorBlack; + color: $colorWhite; font-weight: 700; @include offset-text; } @@ -93,7 +93,7 @@ .results__copy--postscript { margin: $baseSpace*2 0; text-align: left; - color: $colorGray; + color: $colorWhite; @include offset-text; padding: $baseSpace/2 0; border-top: 1px solid $colorGrayLight; diff --git a/app/styles/components/_modules/_stream-header.scss b/app/styles/components/_modules/_stream-header.scss index 0b7f20d1..797dda9d 100755 --- a/app/styles/components/_modules/_stream-header.scss +++ b/app/styles/components/_modules/_stream-header.scss @@ -44,7 +44,7 @@ line-height: 100%; -moz-osx-font-smoothing: grayscale; margin-bottom: $baseSpace; - color: $colorRed; + color: $colorWhite; margin-top: $baseSpace/2; } diff --git a/app/styles/components/_modules/_stream-section.scss b/app/styles/components/_modules/_stream-section.scss index 12922faf..b3cad720 100755 --- a/app/styles/components/_modules/_stream-section.scss +++ b/app/styles/components/_modules/_stream-section.scss @@ -47,8 +47,9 @@ } .stream__section__wrap { - max-width: $xlarge; + max-width: 100%; margin: 0 auto; position: relative; + margin-top: 8rem; } diff --git a/app/styles/components/_variables.scss b/app/styles/components/_variables.scss index 35e027bf..aa592f8a 100755 --- a/app/styles/components/_variables.scss +++ b/app/styles/components/_variables.scss @@ -7,7 +7,7 @@ /* ========== Type Palette ========== */ $icon: 'FontAwesome'; -$sans: 'Source Sans Pro', sans-serif; // 'Alegreya Sans', Arial, sans-serif; +$sans: 'RF Rufo', sans-serif; // 'Alegreya Sans', Arial, sans-serif; $sansAlt: $sans; $sansSC: 'Alegreya Sans SC', Arial, sans-serif; $serif: 'Alegreya', 'Times New Roman', Georgia, serif; // 'Bitter', serif; // 'Source Serif Pro', Georgia, serif; @@ -15,6 +15,10 @@ $serifSC: 'Alegreya SC', Georgia, serif; /* ========== Color Palettes ========== */ +$colorBase: #292A48; 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-
-

{{ t 'index.questions_head' }}

-
    - {{#if showLocations }} -
  • -
    -
    -

    {{ t 'index.location_head' }}

    - {{select-dropdown collection=sortedLocations selected=sortedLocations.[0].id type='location'}} -
      -
    • - {{#link-to - 'location.visualization' locationFirst 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear) - data-home-page-location-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.location_q1' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'location.visualization' locationSecond 'products' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear) - data-home-page-location-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.location_q2' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'location.show' locationFirst - data-home-page-location-question='2' - class="link--stream index__questions__link index__questions__link--viewall" - }} - {{ t 'index.location_viewall' }} - {{/link-to}} -
      • -
    +
    + +
    +
    +
    +

    {{ t 'index.header_h1_p1' }}

    +

    {{ t 'index.header_h1_p2' }}

    +
    +
    +

    {{ t 'index.header_subhead' }}

    +
    +
    + {{input + class="search" + placeholder=( t 'pageheader.search_placeholder' ) + value=query + enter='query' + target=controllers.search + required='required' + }} + +
    + +
    +
    +
    +
    + +

    {{ t 'index.questions_head_p1' }}

    + +
    +
    + +

    {{ t 'index.questions_head_p2' }}

    + + {{#if showLocations }} +
    +
    +

    {{ t 'index.location_head' }}

    -
    • - {{/if}} - {{#if showIndustries }} -
  • -
    -
    -

    {{ t 'index.industry_head' }}

    - {{select-dropdown collection=sortedIndustries selected=sortedIndustries.[0].id type='industry'}} -
      -
    • - {{#link-to - 'industry.visualization' industryFirst 'departments' 'multiples' 'employment'(query-params endDate=lastYear startDate=firstYear ) - data-home-page-product-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.industry_q1' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'industry.visualization' industrySecond 'occupations' 'treemap' 'num_vacancies'(query-params endDate=lastYear startDate=firstYear ) - data-home-page-product-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.industry_q2' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'industry.show' industryFirst - data-home-page-product-question='1' - class="link--stream index__questions__link index__questions__link--viewall" - }} - {{ t 'index.location_viewall' }} - {{/link-to}} -
      • -
    +
    + {{select-dropdown collection=sortedLocations selected=sortedLocations.[0].id type='location' class="dropdown-update"}}
    -
    • - {{/if}} - {{#if showProducts }} -
  • -
    -
    -

    {{ t 'index.product_head' }}

    - {{select-dropdown collection=sortedProducts selected=sortedProducts.[0].id type='product'}} -
      -
    • - {{#link-to - 'product.visualization' productFirst 'departments' 'geo' 'export_value' (query-params endDate=lastYear startDate=lastYear ) - data-home-page-industry-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.product_q1' }} - {{/link-to}} -
      • - {{#if featureToggle.showImports }} -
    • - {{#link-to - 'product.visualization' productSecond 'departments' 'multiples' 'import_value'(query-params endDate=lastYear startDate=firstYear ) - data-home-page-industry-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.product_q2' }} - {{/link-to}} -
      • - {{/if}} -
    • - {{#link-to - 'product.show' productFirst - data-home-page-industry-question='1' - class="link--stream index__questions__link index__questions__link--viewall" - }} - {{ t 'index.location_viewall' }} - {{/link-to}} -
      • -
    +
    + {{/if}} + + {{#if showIndustries }} +
    +
    +

    {{ t 'index.industry_head' }}

    -
    • - {{/if}} - {{#if showFarmAndLand }} -
  • -
    -
    -

    {{ t 'index.farmandland_head' }}

    - {{select-dropdown collection=sortedAgproducts selected=sortedAgproducts.[0].id type='agproduct'}} -
      -
    • - {{#link-to - 'location.visualization' farmAndLandFirst 'livestock' 'treemap' 'num_farms' (query-params endDate=agcensusLastYear startDate=agcensusLastYear ) - data-home-page-farmandland-question='1' - class="link--stream index__questions__link" - }} - {{ t 'index.livestock_q1' }} - {{/link-to}} -
      • -
    • - {{#link-to - 'landUse.visualization' farmAndLandSecond 'departments' 'treemap' 'area' (query-params endDate=agcensusLastYear startDate=agcensusLastYear ) - data-home-page-farmandland-question='2' - class="link--stream index__questions__link" - }} - {{ t 'index.landuse_q1' }} - {{/link-to}} -
      • -
    +
    + {{select-dropdown collection=sortedIndustries selected=sortedIndustries.[0].id type='industry' class="dropdown-update"}}
    -
    • - {{/if}} -
-
-
-
-
-
-
-

- {{ t 'index.present_head' }} -

-
    -
  • - -
    {{ t 'general.treemap' }}
    -
    • -
  • - -
    {{ t 'general.multiples' }}
    -
    • -
  • - -
    {{ t 'general.geo' }}
    -
    • -
-

{{ t 'index.present_subhead' }}

+
+ {{/if}} + + {{#if showProducts }} +
+
+

{{ t 'index.product_head' }}

+
+
+ {{select-dropdown collection=sortedProducts selected=sortedProducts.[0].id type='product' class="dropdown-update"}} +
+
+ {{/if}} + + {{#if showFarmAndLand }} +
+
+

{{ t 'index.farmandland_head' }}

+
+
+ {{select-dropdown collection=sortedAgproducts selected=sortedAgproducts.[0].id type='agproduct' class="dropdown-update"}} +
+
+ {{/if}} + +
-
-

- {{ t 'index.future_head' }} -

-
    -
  • - -
    {{ t 'general.scatter' }}
    -
    • -
  • - -
    {{ t 'general.similarity' }}
    -
    • -
-

{{ t 'index.future_subhead' }}

+
+
+

{{ t 'index.sophistication_route'}}

+

+ Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. Sed semper risus ipsum, tempus pretium leo ullamcorper eget. Donec in erat at elit tempor aliquet vitae quis dolor. Quisque mi erat, luctus sed orci eu, aliquet maximus odio. Quisque tempus scelerisque tortor vel volutpat. Nunc volutpat justo non arcu mollis, a suscipit lacus porttitor. Cras euismod, nunc ac lacinia tristique, ipsum odio tempor metus, at lobortis nibh tellus sed lacus. Quisque mollis cursus sem, nec pellentesque dolor faucibus quis. +

+ +
+
-
-
-
-
-
-
-

- {{ t 'index.complexity_head' }} -

+
+
+

{{ t 'index.present_head' }}

+

{{ t 'index.present_subhead' }}

+
+
+ +

{{ t 'general.treemap' }}

+
+
+ +

{{ t 'general.multiples' }}

+
+
+ +

{{ t 'general.geo' }}

+
+
+
+
+ +

{{ t 'general.scatter' }}

+
+
+ +

{{ t 'general.similarity' }}

+
+
+

{{ t 'index.future_head' }}

+

{{ t 'index.future_subhead' }}

+
+
+
+
+
+

{{ t 'index.complexity_head' }}

+

{{ t 'index.complexity_subhead' }}

+
+ {{#link-to 'about.glossary' + data-home-page-product='' + class="text-uppercase btn btn-outline-light btn-large mt-5" + }} + {{ t 'index.complexity_cta' }} + {{/link-to}} +
-
-

- {{ t 'index.complexity_subhead' }} -

- {{#link-to 'about.glossary' - data-home-page-product='' - class="btn btn--standalone btn--stream index__complexity__cta" - }} - {{ t 'index.complexity_cta' }} - {{/link-to}} +
+
+
+
+
+

{{ t 'index.country_profile_p1' }}

+

{{ t 'index.country_profile_p2' }}

+ {{#link-to + 'location.show' 0 + data-home-page-industry-question='2' + class="text-uppercase btn btn-outline-light btn-large mt-5" + }} + {{ t 'pageheader.profile_link' }} + {{/link-to}} +
+ +
+
+ +
-
-
-
-

- {{t 'index.country_profile'}} -

- {{#link-to - 'location.show' 0 - data-home-page-industry-question='2' - class="btn btn--standalone btn--stream" - }} - {{ t 'pageheader.profile_link' }} - {{/link-to}} -
-
+ {{#if featureToggle.homepage_logos }}
- {{/if}} - {{#unless isIndustryClass}} -

{{t 'graph_builder.builder_questions.occupation'}}

- {{#if (array-contains openPanels 'occupation') }} -
    -
  • - {{#link-to 'industry.visualization' model.id 'occupations' 'treemap' 'num_vacancies' (query-params startDate=occupationLastYear endDate=occupationLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - - {{#link-to 'industry.visualization' model.id 'occupations' 'treemap' 'num_vacancies' (query-params startDate=occupationLastYear endDate=occupationLastYear) +
    +

    {{t 'graph_builder.builder_questions.wage'}}

    + +
    + + {{#link-to 'industry.visualization' model.id 'departments' 'multiples' 'wages' (query-params startDate=firstYear endDate=lastYear) class="builder__questions__question" }} - {{t 'graph_builder.page_title.industry.occupations.num_vacancies'}} + {{t 'graph_builder.page_title.industry.departments.wages'}} + {{/link-to}} +
    + +
    + + {{#link-to 'industry.visualization' model.id 'cities' 'multiples' 'wages' (query-params startDate=firstYear endDate=lastYear) + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.industry.cities.wages'}} {{/link-to}} - +
    +
    -
    • -
- {{/if}} - {{/unless}} + + + + diff --git a/app/templates/industry/show.hbs b/app/templates/industry/show.hbs index 67f0a01f..f14a7f3f 100755 --- a/app/templates/industry/show.hbs +++ b/app/templates/industry/show.hbs @@ -9,108 +9,112 @@ lastYear=lastYear occupationLastYear=occupationLastYear }} -
-

- {{t 'industry.show.employment_and_wages'}} -

-
- - - - - - - - - - - - - - - {{#if hasAverageWage }} - - - - - - {{/if}} - -
- {{t 'industry.show.value'}} - - {{t 'industry.show.industries'}} -
- {{t 'industry.show.employment_growth' yearRange=yearRange}} - - {{model.displayEmploymentGrowth}} - - {{vistk-dotplot - elementId='dotplot--employment-growth' - data=employmentGrowthDotPlot - varX='employment_growth' - varText='name_en' - varId='industry_id' - type='percentage' - currentSelection=model.id - }} -
- {{t 'industry.show.avg_wages' year=lastYear}} - - {{model.lastAvgWage}} - - {{vistk-dotplot - elementId='dotplot--avg-wage' - data=averageWageDotPlot - varX='avg_wage' - varText='name_en' - varId='industry_id' - currentSelection=model.id - }} -
-
- {{#ivy-tabs}} - {{#ivy-tab-list classNames='tabmod__tabs'}} - {{#if hasAverageWage }} - {{#ivy-tab classNames='tabmod__tab' activeClass='tabmod__tab--is--active' action='puts'}} - {{t 'industry.show.avg_wages' year=yearRange }} - {{/ivy-tab}} - {{/if}} - {{#ivy-tab classNames='tabmod__tab' activeClass='tabmod__tab--is--active'}} - {{t 'industry.show.employment' year=lastYear}} - {{/ivy-tab}} - {{/ivy-tab-list}} + +
+
+ +
+

+ {{t 'industry.show.employment_and_wages'}} +

+
+ +
+ + + + + + + + + + + + + + + {{#if hasAverageWage }} + + + + + + {{/if}} + +
Item{{t 'industry.show.value'}}{{t 'industry.show.industries'}}
{{t 'industry.show.employment_growth' yearRange=yearRange}}{{model.displayEmploymentGrowth}} + {{vistk-dotplot + elementId='dotplot--employment-growth' + data=employmentGrowthDotPlot + varX='employment_growth' + varText='name_en' + varId='industry_id' + type='percentage' + currentSelection=model.id + }} +
{{t 'industry.show.avg_wages' year=lastYear}}{{model.lastAvgWage}} + {{vistk-dotplot + elementId='dotplot--avg-wage' + data=averageWageDotPlot + varX='avg_wage' + varText='name_en' + varId='industry_id' + currentSelection=model.id + }} +
+
+ +
+ +
+ +
+ +
+ +
+
{{#if hasAverageWage }} - {{#ivy-tab-panel classNames='tabmod__card' activeClass='tabmod__card--is--active'}} -
-
- {{multiples-graph - data=departmentsData - immutableData=departmentsData - isInTab='true' - varDependent='monthly_wages' - startDate=firstYear - endDate=lastYear - }} -
-
- {{/ivy-tab-panel}} - {{/if}} - {{#ivy-tab-panel classNames='tabmod__card' activeClass='tabmod__card--is--active'}}
- {{vistk-treemap + {{multiples-graph + data=departmentsData + immutableData=departmentsData isInTab='true' - data=recentDepartmentsData - immutableData=recentDepartmentsData - elementId='employment-vistk-treemap' - varDependent='employment' + varDependent='monthly_wages' + startDate=firstYear + endDate=lastYear }}
- {{/ivy-tab-panel}} - {{/ivy-tabs}} + {{/if}} +
+
+
+
+ {{vistk-treemap + isInTab='true' + data=recentDepartmentsData + immutableData=recentDepartmentsData + elementId='employment-vistk-treemap' + varDependent='employment' + }} +
+
+
+
{{#unless isIndustryClass}}
diff --git a/app/templates/partials/-pageheader.hbs b/app/templates/partials/-pageheader.hbs index 89fe48ba..9643ff25 100755 --- a/app/templates/partials/-pageheader.hbs +++ b/app/templates/partials/-pageheader.hbs @@ -1,88 +1,92 @@
-
-
-
-
- {{#if featureToggle.showDatlas }} - {{#link-to "index" class='mr-auto'}} - - {{/link-to}} - - + + {{#if isHomePageRoute }} + {{!-- special display of introductory text on index --}} +
+
+
+

{{ t 'index.header_h1_add' }}

+

{{ t 'index.header_subhead_add' }}

+ + +
+
+
+ {{/if}} +
diff --git a/bower.json b/bower.json index 99fa1945..1d104749 100644 --- a/bower.json +++ b/bower.json @@ -28,7 +28,7 @@ "d3": "~3.5.5", "FileSaver.js": "https://github.com/eligrey/FileSaver.js.git#v2.0.4", "papaparse": "~4.1.2", - "vis-toolkit": "https://github.com/cid-harvard/vis-toolkit.git#master" + "vis-toolkit": "https://github.com/Dandresfsoto/vis-toolkit.git#master" }, "resolutions": { "d3": "~3.5.5", From 711961601d17075ae38b4e57a8e373be6d7144e6 Mon Sep 17 00:00:00 2001 From: cristianfonseca03 Date: Fri, 16 Jul 2021 14:26:44 -0500 Subject: [PATCH 008/126] Add tooltip to max-value --- app/components/multiples-graph.js | 16 ++++++++++++++-- 1 file changed, 14 insertions(+), 2 deletions(-) diff --git a/app/components/multiples-graph.js b/app/components/multiples-graph.js index eecfb16b..c2bc2954 100644 --- a/app/components/multiples-graph.js +++ b/app/components/multiples-graph.js @@ -209,11 +209,23 @@ export default Ember.Component.extend({ return 'translate(0, -3.54) rotate( 45 ' + x(d.max_values.x) + ' ' + y(d.max_values.y) + ')'; }); + svg.append('rect') + .attr('width', 80) + .attr('height', 20) + .attr('opacity', 1) + .attr('fill', 'white') + .attr('x', function(d) { + return x(d.max_values.x) - 75; + }) + .attr('y', function(d) { + return y(d.max_values.y) - 25; + }); + svg.append('text') .classed('max_value', true) .classed(markerGroup, true) .attr('text-anchor', 'end') - .attr('dy', -5) + .attr('dy', - 10) .attr('x', function(d) { return x(d.max_values.x) }) @@ -285,7 +297,7 @@ export default Ember.Component.extend({ let yValue = d.values[index] ? Ember.get(d.values[index], varDependent, 0): 0; return 'translate(0, -3.54) rotate( 45 ' + x(date) + ' ' + y(yValue) + ')'; }); - + d3.selectAll('text.caption.'+markerGroup) .attr('x', x(date)) .attr('y', function(d) { From 29587d988815eab881343a24e68023b868bc9d9c Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 25 Jul 2021 15:57:34 -0500 Subject: [PATCH 009/126] Ad datatables to project --- app/components/autocomplete-input-datlas.js | 98 +++++ app/components/datlas-table.js | 289 +++++++++++++++ app/components/graphbuilder-change-graph.js | 4 +- app/components/multiples-graph.js | 62 +++- app/components/navigation-questions.js | 1 - app/components/zoomable-treemap.js | 350 ++++++++++++++++++ app/controllers/index.js | 37 ++ app/controllers/industry/show.js | 21 +- app/controllers/search.js | 27 +- app/controllers/visualization.js | 11 +- app/index.html | 33 +- app/locales/en-col/translations.js | 27 +- app/locales/en-col/translations.original | 2 +- app/locales/en-col/translations_2016.js | 2 +- app/locales/en-col/translationsold.js | 2 +- app/locales/en-mex/translations.js | 29 +- app/locales/en-peru/translations.js | 29 +- app/locales/es-col/translations.js | 27 +- app/locales/es-col/translations.original | 2 +- app/locales/es-col/translations_2016.js | 2 +- app/locales/es-col/translationsold.js | 2 +- app/locales/es-mex/translations.js | 29 +- app/locales/es-peru/translations.js | 29 +- .../components/_components/_datatables.scss | 63 ++++ app/styles/components/_components/_modal.scss | 12 + .../components/_components/_search.scss | 14 +- app/styles/components/_components/_table.scss | 11 + .../components/_components/_treemap.scss | 79 ++++ .../components/_modules/_buildermod.scss | 1 - .../components/_modules/_header-nav.scss | 5 + app/styles/components/_modules/_index.scss | 10 +- app/styles/components/_modules/_layout.scss | 14 + .../components/_modules/_pageheader.scss | 3 +- .../components/_modules/_stream-header.scss | 8 + app/styles/components/_variables.scss | 1 + .../_area-chart-multiples.scss | 28 +- app/styles/components/components.scss | 4 + app/templates/application.hbs | 2 +- .../components/autocomplete-input-datlas.hbs | 12 + app/templates/components/datlas-table.hbs | 1 + .../components/graphbuilder-change-graph.hbs | 4 +- .../components/graphbuilder-settings.hbs | 27 +- app/templates/components/multiples-graph.hbs | 2 +- .../components/small-multiples-set.hbs | 2 +- app/templates/components/stream-header.hbs | 35 +- .../components/visualization-explanation.hbs | 12 +- app/templates/components/zoomable-treemap.hbs | 1 + app/templates/header-nav.hbs | 27 ++ app/templates/index.hbs | 240 ++++++------ app/templates/industry/-questions.hbs | 18 +- app/templates/industry/loading.hbs | 6 +- app/templates/industry/show.hbs | 206 ++++++----- app/templates/loading.hbs | 6 +- app/templates/location/loading.hbs | 6 +- .../location/visualization-product.hbs | 1 + .../-buildermod-drawer-change-graph.hbs | 4 +- app/templates/partials/-buildermod-search.hbs | 45 ++- app/templates/partials/-pageheader.hbs | 28 +- app/templates/product/-questions.hbs | 82 +++- app/templates/product/loading.hbs | 6 +- app/templates/search.hbs | 307 ++++++++------- app/templates/visualization.hbs | 160 ++++---- package.json | 4 +- public/assets/img/general/ico_questions.svg | 13 + public/assets/img/general/illustracion_2.svg | 39 ++ public/assets/img/graphicons/ico_geo.svg | 14 + .../ico_grafico_de_dispersi\303\263n.svg" | 50 +++ .../img/graphicons/ico_mapa_colombia.svg | 38 ++ .../img/graphicons/ico_mapa_de_sectores.svg | 12 + .../assets/img/graphicons/ico_multiples.svg | 6 + .../assets/img/graphicons/ico_questions.svg | 13 + public/assets/img/graphicons/ico_treemap.svg | 19 + .../autocomplete-input-datlas-test.js | 27 ++ .../components/datlas-table-test.js | 27 ++ .../components/zoomable-treemap-test.js | 27 ++ 75 files changed, 2366 insertions(+), 531 deletions(-) create mode 100644 app/components/autocomplete-input-datlas.js create mode 100644 app/components/datlas-table.js create mode 100644 app/components/zoomable-treemap.js create mode 100644 app/styles/components/_components/_datatables.scss create mode 100644 app/styles/components/_components/_modal.scss create mode 100644 app/styles/components/_components/_treemap.scss create mode 100644 app/styles/components/_modules/_header-nav.scss create mode 100644 app/templates/components/autocomplete-input-datlas.hbs create mode 100644 app/templates/components/datlas-table.hbs create mode 100644 app/templates/components/zoomable-treemap.hbs create mode 100644 public/assets/img/general/ico_questions.svg create mode 100644 public/assets/img/general/illustracion_2.svg create mode 100644 public/assets/img/graphicons/ico_geo.svg create mode 100644 "public/assets/img/graphicons/ico_grafico_de_dispersi\303\263n.svg" create mode 100644 public/assets/img/graphicons/ico_mapa_colombia.svg create mode 100644 public/assets/img/graphicons/ico_mapa_de_sectores.svg create mode 100644 public/assets/img/graphicons/ico_multiples.svg create mode 100644 public/assets/img/graphicons/ico_questions.svg create mode 100644 public/assets/img/graphicons/ico_treemap.svg create mode 100644 tests/integration/components/autocomplete-input-datlas-test.js create mode 100644 tests/integration/components/datlas-table-test.js create mode 100644 tests/integration/components/zoomable-treemap-test.js diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js new file mode 100644 index 00000000..8649f3e7 --- /dev/null +++ b/app/components/autocomplete-input-datlas.js @@ -0,0 +1,98 @@ +import Ember from 'ember'; +const {computed, get, observer} = Ember; + +export default Ember.Component.extend({ + i18n: Ember.inject.service(), + search: null, + placeHolder: null, + transitionProduct: 'transitionProduct', + transitionLocation: 'transitionLocation', + transitionIndustry: 'transitionIndustry', + transitionLocationProducts: 'transitionLocationProducts', + transitionAgproduct: 'transitionAgproduct', + runSelect: computed('idSelect', 'type', 'data_search', 'placeHolder', 'search', 'i18n', function(){ + let id_select = this.get('idSelect'); + var $eventSelect = $(`#${id_select}`); + let type = this.get('type'); + let self = this + var data = this.get('data_search') + var placeholder = this.get("placeHolder") + + if(placeholder === null){ + placeholder = this.get('i18n').t(`pageheader.search_placeholder.${type}`).string + } + + data.unshift({ id: "", text: ""}) + + $eventSelect.select2({ + placeholder: placeholder, + allowClear: true, + theme: 'bootstrap4', + language: this.get('i18n').display, + width: 'auto', + dropdownAutoWidth : true, + data: data, + containerCssClass: "flex-fill" + }); + + $eventSelect.on("select2:select", function (e) { + + let id = $eventSelect.val(); + let text= $(`#${id_select} option:selected`).text(); + + if(id !== ""){ + if(type === 'location') { + self.sendAction('transitionLocation', id); + } else if (type === 'product') { + self.sendAction('transitionProduct', id); + } else if (type === 'industry') { + self.sendAction('transitionIndustry', id); + } else if (type === 'location-product') { + self.sendAction('transitionLocationProducts', id); + } else if (type === 'rural') { + self.sendAction('transitionAgproduct', id); + } else if (type === 'search') { + self.set('search', text); + } + } + + }); + }), + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender', this , function() { + + this.get("runSelect"); + + }); + }, + update: observer('i18n.display', function() { + let id_select = this.get('idSelect'); + var $eventSelect = $(`#${id_select}`); + var placeholder = this.get("placeHolder") + let type = this.get('type'); + + if(placeholder === null){ + placeholder = this.get('i18n').t(`pageheader.search_placeholder.${type}`).string + } + + $eventSelect.select2({ + placeholder: placeholder, + allowClear: true, + theme: 'bootstrap4', + language: this.get('i18n').display, + width: 'auto', + dropdownAutoWidth : true, + }); + + }), + actions: { + reset: function() { + this.set('search', null); + + let id_select = this.get('idSelect'); + var $eventSelect = $(`#${id_select}`); + $eventSelect.val(''); + $eventSelect.trigger('change'); + } + } +}); diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js new file mode 100644 index 00000000..2900f1a8 --- /dev/null +++ b/app/components/datlas-table.js @@ -0,0 +1,289 @@ +import Ember from 'ember'; +import TableMap from '../mixins/table-map'; + +const {computed, observer, get:get} = Ember; + +export default Ember.Component.extend(TableMap, { + i18n: Ember.inject.service(), + transitionProduct: 'transitionProduct', + transitionLocation: 'transitionLocation', + transitionIndustry: 'transitionIndustry', + transitionLocationProducts: 'transitionLocationProducts', + transitionAgproduct: 'transitionAgproduct', + id: computed('data.[]', 'elementId', 'search', 'startDate', function() { + return `#${this.get('elementId')} table`; + }), + tableMap: computed('data.[]', 'source', 'search', 'startDate', function() { + let entityType = this.get('entityType'); + let source = this.get('source'); + + let map = this.get(`${source}Map`); + if (entityType === "landUse"){ + map = this.get("landUseLocationsMap"); + } else if (entityType === "agproduct"){ + map = this.get("agproductLocationsMap"); + } else if (entityType === "nonag"){ + map = this.get("nonagLocationsMap"); + } else if (entityType === "livestock"){ + map = this.get("livestockLocationsMap"); + } + + _.forEach(map, (mapping) => { + if(mapping.key === 'name' || mapping.key == 'parent') { return; } + }); + return map; + }), + droppedColumns: computed('data.[]', 'search', 'startDate', function(){ + + // We only need to drop columns in location sources + var isLocation = _.contains(['cities', 'departments'], this.get('source')); + if(!isLocation){ + return []; + } + + return this.get('tableMap').filter((column) => { + + // Don't ever drop the "name" column + if(column.key == "name" || column.key == "parent_name"){ + return false; + } + + var columnData = _.pluck(this.get('data'), column.key); + var columnEmpty = _.every(columnData, (x) => x === null || x === undefined); + return columnEmpty; + }).map((c) => c.key); + }), + columns: computed('data.[]', 'droppedColumns', 'tableMap', 'search', 'startDate', function() { + + var droppedColumns = this.get('droppedColumns'); + if (!_.isEmpty(droppedColumns)){ + Ember.Logger.log(`Dropping columns: ${droppedColumns}`); + } + + return this.get('tableMap') + .filter((c) => !_.contains(droppedColumns, c.key)) + .map((column) => { + return this.generateColumnDefinition(column); + }); + }), + titles: computed('data.[]', 'tableMap', 'i18n.locale', 'search', 'startDate', function() { + return this.get('tableMap').map(column => ( + { + title: (column.hasOwnProperty("copy")) ? this.get('i18n').t(`graph_builder.table.${column.copy}`).string : this.get('i18n').t(`graph_builder.table.${column.key}`).string, + data: column.key, + } + )); + }), + updateTitles: computed('data.[]', 'titles', 'updatedData', 'search', 'startDate', function() { + var titles = this.get('titles'); + var updatedData = this.get('updatedData'); + + var update_titles = [] + + for(const [key, value] of Object.entries(titles)){ + + var item_key = value.data + + if(updatedData.filter((item) => item[item_key] !== null).length > 0){ + update_titles.push(value) + } + + } + + return update_titles; + + }), + formatNumber: (number, key, i18n) => { + var decimalVars = [ + 'export_rca', + 'eci', + 'industry_eci', + 'rca', + 'complexity', + 'distance', + 'cog', + 'coi', + 'industry_coi', + 'population', + 'yield_ratio', + 'yield_index', + 'average_livestock_load', + ]; + var percentVars = [ + 'share', + 'employment_growth' + ]; + var wageVarsInThousands = [ + 'wages', + 'avg_wages', + 'avg_wage', + ]; + var moneyVars = [ + 'gdp_pc_real', + 'gdp_real', + ]; + var largeNumbers = [ + 'export_value', + 'import_value', + 'monthly_wages', + 'average_wages', + 'area', + 'production_tons', + 'land_sown', + 'land_harvested', + 'num_farms', + 'num_livestock', + ]; + + if(_.include(wageVarsInThousands, key)){ + return numeral(number).divide(1000).format('0,0'); + } else if(_.include(decimalVars, key)){ + return numeral(number).format('0.00a'); + } else if(key === 'employment'){ + return numeral(Math.ceil(number)).format('0,0'); + } else if(key === 'num_establishments' || key === 'export_num_plants'){ + if(parseInt(number) < 6) { + return i18n.t('graph_builder.table.less_than_5'); + } + return numeral(number).format('0,0'); + } else if(_.include(percentVars, key)){ + return numeral(number).format('0.00%'); + } else if(_.include(largeNumbers, key)) { + return numeral(number).format('0,0'); + } else if(_.include(moneyVars, key)) { + return numeral(number).format('$0.00a'); + } else { + return number; + } + }, + updatedData: computed('data.[]', 'tableMap', 'i18n.locale', 'source', 'search', 'startDate', function() { + var data = this.get("data") + + var columns = this.get('tableMap').map((column) => { return column.key }) + + var that = this; + + function updateValue(key, value, item) { + + if(_.isNull(value)){ + return 'N/A'; + } + else if(_.isNumber(value)){ + return that.formatNumber(value, key, that.get('i18n')); + } + else if(key === 'name'){ + return item[`name_short_${that.get('i18n').display}`]; + } + else if(key === 'parent'){ + let color = item['color']; + let testSpan = Ember.String.htmlSafe(''); + return testSpan + item[`parent_name_${that.get('i18n').display}`]; + } + else if(key === 'parent_name'){ + return item[`parent_name_${that.get('i18n').display}`]; + } + else if(!item.hasOwnProperty(key)){ + return null; + } + else { + return value; + } + } + + return data.map((item) => { + + var updatedItem = {} + for(const key of columns) { + var value_item = item[key] + + updatedItem[key] = updateValue(key, value_item, item) + + } + return updatedItem + }) + + }), + renderTable: computed('data.[]', 'id', 'updatedData', 'titles', 'tableMap', 'droppedColumns', 'columns', 'i18n.locale', 'source', 'search', 'startDate', function() { + + var data = this.get('data'); + var id_element = this.get('id'); + var updatedData = this.get('updatedData'); + + console.log(updatedData) + + + + var columns = this.get('updateTitles'); + let source = this.get('source'); + let self = this; + var export_data_text = this.get('i18n').t('table.export_data').string; + + + if(this.get('i18n').display === 'es'){ + var url = "https://cdn.datatables.net/plug-ins/1.10.16/i18n/Spanish.json" + } + else{ + var url = "https://cdn.datatables.net/plug-ins/1.10.16/i18n/English.json" + } + + var table = $(id_element).DataTable({ + dom: 'Bfrtip', + lengthChange: false, + data: updatedData, + columns: columns, + buttons: [ + { + text: export_data_text, + attr: {class: 'btn btn-outline-secondary' }, + extend: "excelHtml5", + filename: function() { + var d = new Date(); + return d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); + }, + } + ], + language: { + url: url + }, + }); + + $(`${id_element} tbody`).on( 'click', 'tr', function () { + + if(!$(event.target).attr('class')){ + + var id = data[table.row( this ).index()].id + + if(source === 'location') { + self.sendAction('transitionLocation', id); + } else if (source === 'product') { + self.sendAction('transitionProduct', id); + } else if (source === 'industries') { + self.sendAction('transitionIndustry', id); + } else if (source === 'location-product') { + self.sendAction('transitionLocationProducts', id); + } else if (source === 'agproduct') { + self.sendAction('transitionAgproduct', id); + } + + } + + }); + }), + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender', this, function() { + this.get('renderTable'); + }); + }, + update: observer('i18n.display', 'search', 'data.[]', function() { + console.log("update") + + var id = this.get('id'); + var updatedData = this.get('updatedData'); + var datatable = new $.fn.dataTable.Api( id ); + + datatable.clear(); + datatable.rows.add(updatedData); + datatable.draw(); + + }) +}); diff --git a/app/components/graphbuilder-change-graph.js b/app/components/graphbuilder-change-graph.js index e601b65d..41c6d49d 100644 --- a/app/components/graphbuilder-change-graph.js +++ b/app/components/graphbuilder-change-graph.js @@ -3,11 +3,11 @@ const {computed, get} = Ember; export default Ember.Component.extend({ i18n: Ember.inject.service(), - tagName: 'i', + tagName: 'div', classNames: ['changegraph__icon'], classNameBindings: ['iconClass', 'isChecked'], iconClass: computed('type', function() { - return `icon-cidcon_${get(this, 'type')}`; + return `${get(this, 'type')}`; }), isChecked: computed('type', 'visualization', function() { if(get(this, 'type') === get(this, 'visualization')) { diff --git a/app/components/multiples-graph.js b/app/components/multiples-graph.js index c2bc2954..0bc48819 100644 --- a/app/components/multiples-graph.js +++ b/app/components/multiples-graph.js @@ -107,7 +107,7 @@ export default Ember.Component.extend({ .data(data, (d,i) => { return [d.key, i, this.get('i18n').locale]; }); var div = container.enter().append('div') - .attr('class', 'multiple col-12 col-md-6 col-lg-3'); + .attr('class', 'multiple d-flex flex-row col-12 col-md-6 col-lg-3 pt-5'); //has to be retrieved after the 'multiple' div is appended. let w = this.get('width'); @@ -171,9 +171,7 @@ export default Ember.Component.extend({ .attr('x', w) .text(truncateYear(this.get('xExtent')[1])); - svg.append('g') - .attr('class', 'axis axis--y') - .call(yAxis); + svg.append('path') .attr('class', 'area') @@ -186,34 +184,43 @@ export default Ember.Component.extend({ return line(d.values); }); + svg.append('g') + .attr('class', 'axis axis--y') + .call(yAxis); + svg.append('rect') .classed('marker', true) .classed(this.get('markerGroup'), true) .attr('width', 10) .attr('height', 10) .attr('opacity', 0); + // Max value - svg.append('rect') + svg.append('circle') .classed('marker_fixed', true) - .attr('width', 10) - .attr('height', 10) + //.attr('width', 10) + //.attr('height', 10) .attr('opacity', 1) - .attr('x', function(d) { + .attr('r', 5) + .attr('cx', function(d) { return x(d.max_values.x); }) - .attr('y', function(d) { + .attr('cy', function(d) { return y(d.max_values.y); }) - .attr('transform', function(d) { - return 'translate(0, -3.54) rotate( 45 ' + x(d.max_values.x) + ' ' + y(d.max_values.y) + ')'; - }); + //.attr('transform', function(d) { + // return 'translate(0, -3.54) rotate( 45 ' + x(d.max_values.x) + ' ' + y(d.max_values.y) + ')'; + //}); svg.append('rect') + .classed('tooltip-max_value', true) .attr('width', 80) .attr('height', 20) .attr('opacity', 1) .attr('fill', 'white') + .attr('rx', '5') + .attr('ry', '5') .attr('x', function(d) { return x(d.max_values.x) - 75; }) @@ -225,6 +232,7 @@ export default Ember.Component.extend({ .classed('max_value', true) .classed(markerGroup, true) .attr('text-anchor', 'end') + .attr('fill', 'black') .attr('dy', - 10) .attr('x', function(d) { return x(d.max_values.x) @@ -254,6 +262,15 @@ export default Ember.Component.extend({ }); + svg.append('rect') + .classed('tooltip-value', true) + .classed(this.get('markerGroup'), true) + .attr('width', 80) + .attr('height', 20) + .attr('opacity', 0) + .attr('fill', 'white') + .attr('rx', '5') + .attr('ry', '5'); svg.append('text') @@ -274,6 +291,9 @@ export default Ember.Component.extend({ } function mouseover() { + d3.selectAll('rect.tooltip-max_value').attr('opacity', 0); + d3.selectAll('rect.tooltip-value.'+markerGroup).attr('opacity', 1); + d3.selectAll('text.max_value').attr('opacity', 0); d3.selectAll('rect.marker.'+markerGroup).attr('opacity', 1); d3.selectAll('.static_year').classed('hidden', true); mousemove.call(this); @@ -295,9 +315,9 @@ export default Ember.Component.extend({ .attr('transform', function(d) { index = bisect(d.values, date, 0, d.values.length - 1); let yValue = d.values[index] ? Ember.get(d.values[index], varDependent, 0): 0; - return 'translate(0, -3.54) rotate( 45 ' + x(date) + ' ' + y(yValue) + ')'; + return 'translate(0, -6.54) rotate( 45 ' + x(date) + ' ' + y(yValue) + ')'; }); - + d3.selectAll('text.caption.'+markerGroup) .attr('x', x(date)) .attr('y', function(d) { @@ -320,7 +340,7 @@ export default Ember.Component.extend({ } }) .attr('dy', function() { - return '-5'; + return '-10'; }) .text(function(d) { index = bisect(d.values, date, 0, d.values.length - 1); @@ -333,6 +353,15 @@ export default Ember.Component.extend({ return numeral(yValue).format('0.0a'); }); + + d3.selectAll('rect.tooltip-value') + .attr('x', x(date) - 75) + .attr('y', function(d) { + index = bisect(d.values, date, 0, d.values.length - 1); + let yValue = d.values[index] ? Ember.get(d.values[index], varDependent, 0): 0; + return y(yValue) - 25; + }) + d3.selectAll('text.year.'+markerGroup) .attr('x', x(date)) @@ -340,6 +369,9 @@ export default Ember.Component.extend({ } function mouseout() { + d3.selectAll('rect.tooltip-max_value').attr('opacity', 1); + d3.selectAll('rect.tooltip-value').attr('opacity', 0); + d3.selectAll('text.max_value').attr('opacity', 1); d3.selectAll('rect.marker').attr('opacity', 0); d3.selectAll('.static_year').classed('hidden', false); d3.selectAll('text.caption').text(''); diff --git a/app/components/navigation-questions.js b/app/components/navigation-questions.js index a3b4be18..0b52c375 100644 --- a/app/components/navigation-questions.js +++ b/app/components/navigation-questions.js @@ -75,7 +75,6 @@ export default Ember.Component.extend({ this.set('openPanels', _.union(this.get('openPanels'), [name])); } } else { - console.log("Invalid panel " + name + ", we have " + this.get('allPanels')); } } }, diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js new file mode 100644 index 00000000..1ffbeea0 --- /dev/null +++ b/app/components/zoomable-treemap.js @@ -0,0 +1,350 @@ +import Ember from 'ember'; +const {computed, observer, get:get} = Ember; + +export default Ember.Component.extend({ + i18n: Ember.inject.service(), + id: computed('elementId', function() { + return `#${this.get('elementId')}`; + }), + varText: computed('i18n.locale', function() { + return `name_short_${this.get('i18n').display}`; + }), + updatedData: computed('data.[]', 'varDependent', 'varText', 'i18n.locale', 'search', function() { + + var key = this.get('varText'); + var dependent = this.get('varDependent'); + + return this.get('data').map(item => { + + if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ + return { key:_.get(item, key), value:_.get(item, dependent) } + } + else{ + return { key:_.get(item, key), value:_.get(item, dependent), group: _.get(item, `parent_name_${this.get('i18n').display}`) } + } + + }); + }), + nestedData: computed('updatedData', 'search', function () { + var updatedData = this.get('updatedData'); + if(updatedData[0].hasOwnProperty("group")){ + return d3.nest().key(function(d) { return d.group; }).entries(updatedData); + } + else{ + return d3.nest().entries(updatedData); + } + }), + treemap: computed('data.[]', 'id', 'updatedData', 'nestedData', 'varDependent', 'i18n.locale', 'varText', 'search', function () { + + var elementId = this.get('id'); + var value_text = this.get('i18n').t(`graph_builder.table.${this.get('varDependent')}`).string + + var defaults = { + margin: {top: 24, right: 0, bottom: 0, left: 0}, + rootname: "TOP", + format: ",d", + width: 1000, + height: 500, + value_text: value_text, + percent_text: this.get('i18n').t(`graph_builder.table.share`).string, + start_color: "#D81B60", + end_color: "#880E4F", + principal_color: "#292A48" + }; + var o = {title: "World Population"} + var data = {key: value_text, values: this.get("nestedData")} + + var root, + opts = $.extend(true, {}, defaults, o), + formatNumber = d3.format(opts.format), + rname = opts.rootname, + margin = opts.margin, + theight = 36 + 16; + + var width = opts.width - margin.left - margin.right, + height = opts.height - margin.top - margin.bottom - theight, + transitioning; + + var color = d3.scale.linear().domain([0,1]).interpolate(d3.interpolateHcl).range([d3.rgb(defaults.start_color), d3.rgb(defaults.end_color)]); + + var x = d3.scale.linear() + .domain([0, width]) + .range([0, width]); + + var y = d3.scale.linear() + .domain([0, height]) + .range([0, height]); + + var treemap = d3.layout.treemap() + .children(function(d, depth) { return depth ? null : d._children; }) + .sort(function(a, b) { return a.value - b.value; }) + .mode('squarify') + .round(false); + + var svg = d3.select(elementId).append("svg") + .attr('viewBox', `0 0 ${defaults.width} ${defaults.height}`) + .style("margin-left", -margin.left + "px") + .style("margin-right", -margin.right + "px") + .style("background-color", defaults.principal_color) + + .append("g") + .attr("transform", "translate(" + margin.left + "," + margin.top + ")") + .style("shape-rendering", "crispEdges"); + + var grandparent = svg.append("g") + .attr("class", "grandparent"); + + grandparent.append("rect") + .attr("y", -margin.top) + .attr("width", width) + .attr("height", margin.top); + + grandparent.append("text") + .attr("x", 6) + .attr("y", 6 - margin.top) + .attr("dy", ".75em"); + + var Tooltip = d3.select(elementId) + .append("div") + .style("position", "absolute") + .style("visibility", "hidden") + .style("background-color", "white") + .style("border", "solid") + .style("border-width", "1px") + .style("border-radius", "5px") + .style("padding", "10px 50px") + + var mouseover = function(d) { + Tooltip.style("visibility", "visible") + } + var mousemove = function(d) { + Tooltip + .html(` +

${d.key}

+

${defaults.value_text}: ${d.value}

+

${defaults.percent_text}: ${(d.area * 100).toFixed(1)} %

+ `) + .style("left", function() { + + var width = this.getBoundingClientRect().width + + if(event.clientX - width > 0){ + return (event.pageX - $(elementId).offset().left ) - width + "px" + } + else{ + return (event.pageX - $(elementId).offset().left ) + "px" + } + + }) + .style("top", function() { + return (event.pageY - $(elementId).offset().top) + 10 + "px" + }) + + + } + var mouseleave = function(d) { + Tooltip.style("visibility", "hidden") + } + + if (data instanceof Array) { + root = { key: rname, values: data }; + } else { + root = data; + } + + initialize(root); + accumulate(root); + layout(root); + display(root); + + function initialize(root) { + root.x = root.y = 0; + root.dx = width; + root.dy = height; + root.depth = 0; + } + + function accumulate(d) { + return (d._children = d.values) + ? d.value = d.values.reduce(function(p, v) { return p + accumulate(v); }, 0) + : d.value; + } + + function layout(d) { + if (d._children) { + treemap.nodes({_children: d._children}); + d._children.forEach(function(c) { + c.x = d.x + c.x * d.dx; + c.y = d.y + c.y * d.dy; + c.dx *= d.dx; + c.dy *= d.dy; + c.parent = d; + layout(c); + }); + } + } + + function display(d) { + + grandparent + .datum(d.parent) + .on("click", transition) + .select("text") + .text(name(d)); + + var g1 = svg.insert("g", ".grandparent") + .datum(d) + .attr("class", "depth"); + + var g = g1.selectAll("g") + .data(d._children) + .enter().append("g").on("mouseover", mouseover).on("mousemove", mousemove).on("mouseleave", mouseleave); + + g.filter(function(d) { return d._children; }) + .classed("children", true) + .on("click", transition); + + var children = g.selectAll(".child") + .data(function(d) { return d._children || [d]; }) + .enter().append("g"); + + children.append("rect") + .attr("class", "child") + .call(rect) + + g.append("rect") + .attr("class", "parent") + .call(rect); + + var t = g.append("text") + .attr("class", "ptext") + .attr("dy", ".75em") + + t.append("tspan") + .attr("class", "tspan-treemap") + .text(function(d) { return d.key; }); + t.append("tspan") + .attr("class", "tspan-treemap") + .attr("dy", "1.2em") + .text(function(d) { + return (d.area * 100).toFixed(1) + "%"; + }); + t.call(text); + + g.selectAll("rect") + .style("fill", function(d) { + return color(d.area); + }); + + function transition(d) { + if (transitioning || !d) return; + transitioning = true; + + var g2 = display(d), + t1 = g1.transition().duration(750), + t2 = g2.transition().duration(750); + + // Update the domain only after entering new elements. + x.domain([d.x, d.x + d.dx]); + y.domain([d.y, d.y + d.dy]); + + // Enable anti-aliasing during the transition. + svg.style("shape-rendering", null); + + // Draw child nodes on top of parent nodes. + svg.selectAll(".depth").sort(function(a, b) { return a.depth - b.depth; }); + + // Fade-in entering text. + g2.selectAll("text").style("fill-opacity", 0); + + // Transition to the new view. + t1.selectAll(".ptext").call(text).style("fill-opacity", 0); + t1.selectAll(".ctext").call(text2).style("fill-opacity", 0); + t2.selectAll(".ptext").call(text).style("fill-opacity", 1); + t2.selectAll(".ctext").call(text2).style("fill-opacity", 1); + t1.selectAll("rect").call(rect); + t2.selectAll("rect").call(rect); + + // Remove the old node when the transition is finished. + t1.remove().each("end", function() { + svg.style("shape-rendering", "crispEdges"); + transitioning = false; + }); + } + + return g; + } + + function text(text) { + + text.selectAll("tspan") + .attr("x", function(d) { return x(d.x) + 6; }) + + text.attr("x", function(d) { return x(d.x) + 6; }) + .attr("y", function(d) { return y(d.y) + 6; }) + .style("opacity", function(d) { + + var rect = this.getBoundingClientRect() + + if(rect.width < x(d.x + d.dx) - x(d.x)){ + if(rect.height < y(d.y + d.dy) - y(d.y)){ + return 1 + } + else{ + return 0 + } + } + else{ + return 0 + } + + }); + } + + function text2(text) { + text.attr("x", function(d) { return x(d.x + d.dx) - this.getComputedTextLength() - 6; }) + .attr("y", function(d) { return y(d.y + d.dy) - 6; }) + .style("opacity", function(d) { + + var rect = this.getBoundingClientRect() + + if(rect.width < x(d.x + d.dx) - x(d.x)){ + if(rect.height < y(d.y + d.dy) - y(d.y)){ + return 1 + } + else{ + return 0 + } + } + else{ + return 0 + } + + }); + } + + function rect(rect) { + rect.attr("x", function(d) { return x(d.x); }) + .attr("y", function(d) { return y(d.y); }) + .attr("width", function(d) { return x(d.x + d.dx) - x(d.x); }) + .attr("height", function(d) { return y(d.y + d.dy) - y(d.y); }); + } + + function name(d) { + return d.parent + ? name(d.parent) + " / " + d.key + : d.key; + } + + }), + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender',this , function() { + d3.select(this.get('id')).selectAll('svg').remove(); + this.get('treemap'); + }); + }, + update: observer('i18n.display', 'search', function() { + d3.select(this.get('id')).selectAll('svg').remove(); + this.get('treemap'); + }) +}); diff --git a/app/controllers/index.js b/app/controllers/index.js index 6f86388e..b47f3bc4 100644 --- a/app/controllers/index.js +++ b/app/controllers/index.js @@ -19,6 +19,43 @@ export default Ember.Controller.extend({ showLocations: computed.notEmpty('featureToggle.index_locations'), showFarmAndLand: computed.notEmpty('featureToggle.index_agproducts'), + + locationsData: computed('model.locations', 'i18n.locale', function() { + let locations = get(this, 'model.locations'); + let locale = this.get('i18n').display + + return locations.map(function(location){ + return {id: location.id, text: location.get(`name_short_${locale}`) } + }) + }), + + industriesData: computed('model.industries', 'i18n.locale', function() { + let industries = get(this, 'model.industries'); + let locale = this.get('i18n').display + + return industries.map(function(industry){ + return {id: industry.id, text: industry.get(`name_short_${locale}`) + " (" + industry.get('code') + ")" } + }) + }), + + productsData: computed('model.products', 'i18n.locale', function() { + let products = get(this, 'model.products'); + let locale = this.get('i18n').display + + return products.map(function(product){ + return {id: product.id, text: product.get(`name_short_${locale}`) + " (" + product.get('code') + ")" } + }) + }), + + agproductsData: computed('model.agproducts', 'i18n.locale', function() { + let agproducts = get(this, 'model.agproducts'); + let locale = this.get('i18n').display + + return agproducts.map(function(agproduct){ + return {id: agproduct.id, text: agproduct.get(`name_${locale}`) } + }) + }), + products: computed.filter('model.products', function (product) { let id = get(this, 'productIds'); return _.contains(`${id}`, get(product, 'id')); diff --git a/app/controllers/industry/show.js b/app/controllers/industry/show.js index d4031885..7df59856 100644 --- a/app/controllers/industry/show.js +++ b/app/controllers/industry/show.js @@ -44,6 +44,25 @@ export default Ember.Controller.extend({ }), hasChildrenIndustries: computed('model.classIndustries', function() { return this.get('model.classIndustries').length; - }) + }), + init: function(){ + Ember.run.schedule("afterRender", this, function() { + + }) + }, + actions: { + transitionLocation(id) { + this.transitionToRoute('location.show', id); + }, + transitionProduct(id) { + this.transitionToRoute('product.show', id); + }, + transitionIndustry(id) { + this.transitionToRoute('industry.show', id); + }, + transitionAgproduct(id) { + this.transitionToRoute('agproduct.show', id); + }, + } }); diff --git a/app/controllers/search.js b/app/controllers/search.js index a348ab8f..a9e974cf 100644 --- a/app/controllers/search.js +++ b/app/controllers/search.js @@ -9,6 +9,19 @@ export default Ember.Controller.extend({ entity: ['product', 'industry', 'location', 'rural'], query: null, filter: null, + modelData: computed('model', 'i18n.locale', function() { + let model = get(this, 'model'); + let locale = this.get('i18n').display + + return model.map(function(models){ + if(models.get('profileName') === "agproduct"){ + return {id: models.id, text: models.get(`name_${locale}`) } + } + else{ + return {id: models.id, text: models.get(`name_short_${locale}`) + " (" + models.get('code') + ")" } + } + }) + }), search: computed('query', function() { return this.get('query'); }), @@ -92,7 +105,19 @@ export default Ember.Controller.extend({ actions:{ toggleReferenceKey(key) { this.set("referenceKey", key); - } + }, + transitionLocation(id) { + this.transitionToRoute('location.show', id); + }, + transitionProduct(id) { + this.transitionToRoute('product.show', id); + }, + transitionIndustry(id) { + this.transitionToRoute('industry.show', id); + }, + transitionAgproduct(id) { + this.transitionToRoute('agproduct.show', id); + }, } }); diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index 9d748488..004e5f2b 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -16,6 +16,15 @@ export default Ember.Controller.extend({ drawerChangeGraphIsOpen: false, drawerQuestionsIsOpen: false, + locationsData: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.locations')) + + return locations.filter(item => item[1].level === "department").map((item) => { + return {id:item[1].id, text:item[1].name_short_es} + }) + }), + firstYear: computed('model', 'entityType', 'source', 'featureToggle', function(){ // Handle the situation where we're not looking at a location profile but // at a thing-profile like livestock profile. In that case since we're only @@ -386,7 +395,7 @@ export default Ember.Controller.extend({ visualizationComponent: computed('visualization', function(){ let visualization = this.get('visualization'); if(visualization === 'treemap') { - return 'vistk-treemap'; + return 'zoomable-treemap'; } else if(visualization === 'multiples') { return 'small-multiples-set'; } else if(visualization === 'scatter') { diff --git a/app/index.html b/app/index.html index 3c507e3a..368c816f 100644 --- a/app/index.html +++ b/app/index.html @@ -23,7 +23,13 @@ - + + + + + + + @@ -37,6 +43,7 @@ + {{content-for 'head-footer'}} @@ -44,9 +51,27 @@ - - - + + + + + + + + + + + + + + + + + + + + + {{content-for 'body-footer'}} diff --git a/app/locales/en-col/translations.js b/app/locales/en-col/translations.js index 903184ba..7fd59f68 100644 --- a/app/locales/en-col/translations.js +++ b/app/locales/en-col/translations.js @@ -297,6 +297,7 @@ export default { "graph_builder.explanation.product.partners.import_value": "Shows where Colombia imports this product from, nested by world regions. Source: DIAN.", "graph_builder.explanation.show": "Show", "graph_builder.multiples.show_all": "Show All", + "graph_builder.types": "Available graphics", "graph_builder.page_title.agproduct.departments.land_harvested": "What departments harvest this agricultural product?", "graph_builder.page_title.agproduct.departments.land_sown": "What departments sow this agricultural product?", "graph_builder.page_title.agproduct.departments.production_tons": "What departments produce this agricultural product?", @@ -419,7 +420,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "to", - "graph_builder.settings.year": "Years", + "graph_builder.settings.year": "Years selector", "graph_builder.settings.year.next": "Next", "graph_builder.settings.year.previous": "Previous", "graph_builder.table.agproduct": "Agricultural Product", @@ -528,6 +529,8 @@ export default { "index.complexity_head": "The complexity advantage", "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Using the methods of measuring and visualizing economic complexity developed by Harvard University, Datlas helps to explore the production and export possibilities of every city and department in Colombia.", "index.country_profile": "Read the profile for Colombia", + "index.country_profile_p1": "Read the profile", + "index.country_profile_p2": "Of colombia", "index.dropdown.industries": "461,488", "index.dropdown.locations": "41,87,34,40", "index.dropdown.products": "1143,87", @@ -536,8 +539,13 @@ export default { "index.future_subhead": "Scatterplots and network diagrams help find the untapped markets best suited to a city or a department.", "index.graphbuilder.id": "87", "index.header_h1": "The Colombian Atlas of Economic Complexity", + "index.header_h1_add": "You want to know", + "index.header_h1_p1": "The colombian atlas of", + "index.header_h1_p2": "Economic complexity", "index.header_head": "You haven\u2019t seen Colombia like this before", "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Colombia.", + "index.header_subhead_add": "Which sectors employ more people in Bogota?", + "index.button_more_information": "More information", "index.industry_head": "Learn about an industry", "index.industry_q1": "Where in Colombia does the chemical industry employ the most people?", "index.industry_q1.id": "461", @@ -563,8 +571,11 @@ export default { "index.profiles_head": "Start with our profiles", "index.profiles_subhead": "Just the essentials, presented as a one-page summary", "index.questions_head": "New 2016 update!
We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_head_p1": "Updates", + "index.questions_head_p2": "External trade modules and sectors", "index.questions_subhead": "index.questions_subhead", "index.research_head": "Research featured in", + "index.sophistication_route": "Product sophistication and diversification route", "industry.show.avg_wages": "Average wages ({{year}})", "industry.show.employment": "Employment ({{year}})", "industry.show.employment_and_wages": "Formal employment and wages", @@ -616,7 +627,8 @@ export default { "pageheader.rankings": "Rankings", "pageheader.search_link": "Search", "pageheader.search_placeholder": "Search for a location, industry, product or rural activity", - "pageheader.search_placeholder.industry": "Search for an industry", + "pageheader.search_placeholder.header": "Make a search by", + "pageheader.search_placeholder.industry": "Industry or by CIIU code", "pageheader.search_placeholder.location": "Search for a location", "pageheader.search_placeholder.product": "Search for a product", "pageheader.search_placeholder.rural": "Search for rural activities", @@ -652,6 +664,15 @@ export default { "search.results_nonag": "Non-agricultural activities", "search.results_products": "Products", "search.results_rural": "Rural activities", + "search.sophistication_path_place": "Path of sophistication and diversification of location", + "search.sophistication_path_product": "Path of sophistication and diversification of product", + "search.message.p1": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.", + "search.message.p2": "Use the question mark to expand the information.", + "search.modal.title": "CIIU Code", + "search.modal.p1": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", + "search.placeholder.select2": "Search by Name or CIIU Code", + "search.modal.close": "Close", "table.export_data": "Export Data", - "thousands_delimiter": "," + "thousands_delimiter": ",", + "header_nav.search": "Search by" }; diff --git a/app/locales/en-col/translations.original b/app/locales/en-col/translations.original index 7c24733a..163a68fc 100644 --- a/app/locales/en-col/translations.original +++ b/app/locales/en-col/translations.original @@ -365,7 +365,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "to", - "graph_builder.settings.year": "Years", + "graph_builder.settings.year": "Years selector", "graph_builder.settings.year.next": "Next", "graph_builder.settings.year.previous": "Previous", "graph_builder.table.agproduct": "Agricultural Product", diff --git a/app/locales/en-col/translations_2016.js b/app/locales/en-col/translations_2016.js index f8471f68..a0dea0f5 100644 --- a/app/locales/en-col/translations_2016.js +++ b/app/locales/en-col/translations_2016.js @@ -419,7 +419,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "to", - "graph_builder.settings.year": "Years", + "graph_builder.settings.year": "Years selector", "graph_builder.settings.year.next": "Next", "graph_builder.settings.year.previous": "Previous", "graph_builder.table.agproduct": "Agricultural Product", diff --git a/app/locales/en-col/translationsold.js b/app/locales/en-col/translationsold.js index 7c24733a..163a68fc 100644 --- a/app/locales/en-col/translationsold.js +++ b/app/locales/en-col/translationsold.js @@ -365,7 +365,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "to", - "graph_builder.settings.year": "Years", + "graph_builder.settings.year": "Years selector", "graph_builder.settings.year.next": "Next", "graph_builder.settings.year.previous": "Previous", "graph_builder.table.agproduct": "Agricultural Product", diff --git a/app/locales/en-mex/translations.js b/app/locales/en-mex/translations.js index eee80795..6101d223 100644 --- a/app/locales/en-mex/translations.js +++ b/app/locales/en-mex/translations.js @@ -212,6 +212,7 @@ export default { "graph_builder.explanation.product.partners.import_value": "Shows where Mexico imports this product from, nested by world regions. Source: SAT, IMSS and own calculations by CID.", "graph_builder.explanation.show": "Show", "graph_builder.multiples.show_all": "Show All", + "graph_builder.types": "Available graphics", "graph_builder.page_title.industry.cities.employment": "What cities in Mexico account for a larger share of employment in this industry?", "graph_builder.page_title.industry.cities.wages": "What cities in Mexico acoount for a larger share of wages paid in this industry?", "graph_builder.page_title.industry.departments.employment": "Where in Mexico does this industry employ the most people?", @@ -287,7 +288,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "to", - "graph_builder.settings.year": "Years", + "graph_builder.settings.year": "Years selector", "graph_builder.settings.year.next": "Next", "graph_builder.settings.year.previous": "Previous", "graph_builder.table.average_wages": "Avg. wage, MX$ (in thousands)", @@ -358,6 +359,8 @@ export default { "index.complexity_head": "The complexity advantage", "index.complexity_subhead": "Countries that export complex products, which require a lot of knowledge, grow faster than those that export raw materials. Researchers at Harvard University have pioneered a way to measure and visualize the complexity of every export and industry in Mexico.", "index.country_profile": "Read the profile for Mexico", + "index.country_profile_p1": "Read the profile", + "index.country_profile_p2": "Of colombia", "index.dropdown.industries": "294,359", "index.dropdown.locations": "2533,2501,2511,2539", "index.dropdown.products": "1143,87", @@ -365,8 +368,13 @@ export default { "index.future_subhead": "Find the untapped markets best suited to your location", "index.graphbuilder.id": "87", "index.header_h1": "The Mexican Atlas of Economic Complexity", + "index.header_h1_add": "You want to know", + "index.header_h1_p1": "The colombian atlas of", + "index.header_h1_p2": "Economic complexity", "index.header_head": "You haven\u2019t seen Mexico like this before", "index.header_subhead": "Visualize the possibilities for industries, exports and locations across Mexico.", + "index.header_subhead_add": "Which sectors employ more people in Bogota?", + "index.button_more_information": "More information", "index.industry_head": "Learn about an industry", "index.industry_q1": "Where in Mexico does the insurance industry employ the most people?", "index.industry_q1.id": "294", @@ -390,8 +398,11 @@ export default { "index.profiles_head": "Start with our profiles", "index.profiles_subhead": "Just the essentials, presented as a one-page summary", "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions", + "index.questions_head_p1": "Updates", + "index.questions_head_p2": "External trade modules and sectors", "index.questions_subhead": "But we can answer a lot of questions.", "index.research_head": "Research featured in", + "index.sophistication_route": "Product sophistication and diversification route", "industry.show.avg_wages": "Average wages ({{year}})", "industry.show.employment": "Employment ({{year}})", "industry.show.employment_and_wages": "Employment and wages", @@ -439,7 +450,8 @@ export default { "pageheader.rankings": "Rankings", "pageheader.search_link": "Search", "pageheader.search_placeholder": "Search for a location, product or industry", - "pageheader.search_placeholder.industry": "Search for a industry", + "pageheader.search_placeholder.header": "Make a search by", + "pageheader.search_placeholder.industry": "Industry or by CIIU code", "pageheader.search_placeholder.location": "Search for a location", "pageheader.search_placeholder.product": "Search for a product", "rankings.explanation.body": "", @@ -466,6 +478,15 @@ export default { "search.results_industries": "Industries", "search.results_locations": "Locations", "search.results_products": "Products", + "search.sophistication_path_place": "Path of sophistication and diversification of location", + "search.sophistication_path_product": "Path of sophistication and diversification of product", + "search.message.p1": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.", + "search.message.p2": "Use the question mark to expand the information.", + "search.modal.title": "CIIU Code", + "search.modal.p1": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", + "search.placeholder.select2": "Search by Name or CIIU Code", + "search.modal.close": "Close", "table.export_data": "Export Data", - "thousands_delimiter": "," -}; \ No newline at end of file + "thousands_delimiter": ",", + "header_nav.search": "Search by" +}; diff --git a/app/locales/en-peru/translations.js b/app/locales/en-peru/translations.js index a57eefc8..0ba1107e 100644 --- a/app/locales/en-peru/translations.js +++ b/app/locales/en-peru/translations.js @@ -208,6 +208,7 @@ export default { "graph_builder.explanation.product.partners.import_value": "Shows where Peru imports this product from, nested by world regions. Source: DIAN.", "graph_builder.explanation.show": "Show", "graph_builder.multiples.show_all": "Show All", + "graph_builder.types": "Available graphics", "graph_builder.page_title.industry.cities.employment": "What cities in Mexico does this industry employ the most people?", "graph_builder.page_title.industry.cities.wages": "What cities in Peru does this industry pay the highest total wages?", "graph_builder.page_title.industry.departments.employment": "", @@ -283,7 +284,7 @@ export default { "graph_builder.settings.rca.greater": "RCA greater than or equal 1", "graph_builder.settings.rca.less": "RCA less than 1", "graph_builder.settings.to": "to", - "graph_builder.settings.year": "Years", + "graph_builder.settings.year": "Years selector", "graph_builder.settings.year.next": "Next", "graph_builder.settings.year.previous": "Previous", "graph_builder.table.average_wages": "Avg. wage, MX$ (in thousands)", @@ -353,6 +354,8 @@ export default { "index.complexity_head": "The complexity advantage", "index.complexity_subhead": "Economies that export more complex products, which require a lot of knowledge, grow faster. By using the methods to measure and visualize the complexity pioneered at Harvard University, the Atlas of Economic Complexity allows to understand the complexity, and the productive and export possibilities of the departments and provinces in Peru.", "index.country_profile": "Read the profile for Peru", + "index.country_profile_p1": "Read the profile", + "index.country_profile_p2": "Of colombia", "index.dropdown.industries": "294,359", "index.dropdown.locations": "206,2501,87,2539", "index.dropdown.products": "1143,87", @@ -360,8 +363,13 @@ export default { "index.future_subhead": "Find the untapped export products best suited to your department or province.", "index.graphbuilder.id": "87", "index.header_h1": "The Peruvian Atlas of Economic Complexity", + "index.header_h1_add": "You want to know", + "index.header_h1_p1": "The colombian atlas of", + "index.header_h1_p2": "Economic complexity", "index.header_head": "You haven\u2019t seen Peru like this before", "index.header_subhead": "Visualize the possibilities for exports and locations across Peru.", + "index.header_subhead_add": "Which sectors employ more people in Bogota?", + "index.button_more_information": "More information", "index.industry_head": "", "index.industry_q1": "", "index.industry_q1.id": "294", @@ -385,8 +393,11 @@ export default { "index.profiles_head": "Start with our profiles", "index.profiles_subhead": "Just the essentials, presented as a one-page summary", "index.questions_head": "We\u2019re not a crystal ball, but we can answer a lot of questions.", + "index.questions_head_p1": "Updates", + "index.questions_head_p2": "External trade modules and sectors", "index.questions_subhead": "But we can answer a lot of questions.", "index.research_head": "Research featured in", + "index.sophistication_route": "Product sophistication and diversification route", "industry.show.avg_wages": "Average wages ({{year}})", "industry.show.employment": "Employment ({{year}})", "industry.show.employment_and_wages": "Employment and wages", @@ -433,7 +444,8 @@ export default { "pageheader.rankings": "Rankings", "pageheader.search_link": "Search", "pageheader.search_placeholder": "Search for location or export product", - "pageheader.search_placeholder.industry": "Search for a industry", + "pageheader.search_placeholder.header": "Make a search by", + "pageheader.search_placeholder.industry": "Industry or by CIIU code", "pageheader.search_placeholder.location": "Search for location", "pageheader.search_placeholder.product": "Search for an export product", "rankings.explanation.body": "", @@ -460,6 +472,15 @@ export default { "search.results_industries": "Industries", "search.results_locations": "Locations", "search.results_products": "Export products", + "search.sophistication_path_place": "Path of sophistication and diversification of location", + "search.sophistication_path_product": "Path of sophistication and diversification of product", + "search.message.p1": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.", + "search.message.p2": "Use the question mark to expand the information.", + "search.modal.title": "CIIU Code", + "search.modal.p1": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", + "search.placeholder.select2": "Search by Name or CIIU Code", + "search.modal.close": "Close", "table.export_data": "Export data", - "thousands_delimiter": "," -}; \ No newline at end of file + "thousands_delimiter": ",", + "header_nav.search": "Search by" +}; diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 49cb7602..541efb83 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -297,6 +297,7 @@ export default { "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", "graph_builder.explanation.show": "Muestre m\u00e1s", "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.types": "Graficas disponibles", "graph_builder.page_title.agproduct.departments.land_harvested": "\u00bfQu\u00e9 departamentos cosechan este producto agropecuario?", "graph_builder.page_title.agproduct.departments.land_sown": "\u00bfQu\u00e9 departamentos siembran este producto agropecuario?", "graph_builder.page_title.agproduct.departments.production_tons": "\u00bfQu\u00e9 departamentos producen este producto agropecuario?", @@ -419,7 +420,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "a", - "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year": "Selector de A\u00f1os", "graph_builder.settings.year.next": "Siguiente", "graph_builder.settings.year.previous": "Anterior", "graph_builder.table.agproduct": "Producto Agr\u00edcola", @@ -528,6 +529,8 @@ export default { "index.complexity_head": "La ventaja de la complejidad", "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, Datlas permite explorar las posibilidades productivas y de exportaci\u00f3n de los departamentos y ciudades colombianas.", "index.country_profile": "Lea el perfil de Colombia", + "index.country_profile_p1": "Lea el perfil", + "index.country_profile_p2": "De colombia", "index.dropdown.industries": "461,488", "index.dropdown.locations": "41,87,34,40", "index.dropdown.products": "1143,87", @@ -536,8 +539,13 @@ export default { "index.future_subhead": "Los gr\u00e1ficos de dispersi\u00f3n y diagramas de redes permiten encontrar los sectores productivos que tienen las mejores posibilidades en un departamento o ciudad.", "index.graphbuilder.id": "87", "index.header_h1": "El Atlas Colombiano de Complejidad Econ\u00f3mica", + "index.header_h1_add": "Quires saber", + "index.header_h1_p1": "El atlas colombiano de", + "index.header_h1_p2": "Complejidad econ\u00f3mica", "index.header_head": "Colombia como usted nunca la ha visto", "index.header_subhead": "Visualice las posibilidades de cualquier sector, cualquier producto de exportaci\u00f3n o cualquier lugar en Colombia.", + "index.header_subhead_add": "\u00bfQue sectores emplean m\u00e1s gente en bogot\u00e1?", + "index.button_more_information": "M\u00e1s informaci\u00f3n", "index.industry_head": "Ent\u00e9rese de un sector", "index.industry_q1": "\u00bfEn d\u00f3nde emplea m\u00e1s personas el sector qu\u00edmico de Colombia?", "index.industry_q1.id": "461", @@ -563,8 +571,11 @@ export default { "index.profiles_head": "Comience por los perfiles", "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", "index.questions_head": "Nueva actualizaci\u00f3n 2017: m\u00f3dulos comercio exterior y sectores ", + "index.questions_head_p1": "Actualizaciones", + "index.questions_head_p2": "M\u00f3dulos comercio exterior y sectores", "index.questions_subhead": "index.questions_subhead", "index.research_head": "Investigaci\u00f3n mencionada en", + "index.sophistication_route": "Ruta de sofisticaci\u00f3n y diversificaci\u00f3n de producto", "industry.show.avg_wages": "Salarios promedio ({{year}})", "industry.show.employment": "Empleo ({{year}})", "industry.show.employment_and_wages": "Empleo formal y salarios", @@ -616,7 +627,8 @@ export default { "pageheader.rankings": "Rankings", "pageheader.search_link": "Buscar", "pageheader.search_placeholder": "Busque un lugar, sector, producto o actividad rural", - "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.header": "Realice una busqueda por", + "pageheader.search_placeholder.industry": "Sector o por c\u00f3digo CIIU", "pageheader.search_placeholder.location": "Busque un lugar", "pageheader.search_placeholder.product": "Busque un producto", "pageheader.search_placeholder.rural": "Busque actividades rurales", @@ -652,6 +664,15 @@ export default { "search.results_nonag": "Actividades no agropecuarias", "search.results_products": "Productos", "search.results_rural": "Actividades rurales", + "search.sophistication_path_place": "Ruta de sofisticacion y diversificacion de lugar", + "search.sophistication_path_product": "Ruta de sofisticacion y diversificacion de producto", + "search.message.p1": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.", + "search.message.p2": "Haga uso del interrogante para ampliar la información.", + "search.modal.title": "CODIGO CIIU", + "search.modal.p1": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", + "search.placeholder.select2": "Busqueda por Nombre o Codigo CIIU", + "search.modal.close": "Cerrar", "table.export_data": "Descargar Datos", - "thousands_delimiter": "." + "thousands_delimiter": ".", + "header_nav.search": "REALICE UNA BUSQUEDA POR" }; diff --git a/app/locales/es-col/translations.original b/app/locales/es-col/translations.original index 9c3865a5..a5249729 100644 --- a/app/locales/es-col/translations.original +++ b/app/locales/es-col/translations.original @@ -365,7 +365,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "a", - "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year": "Selector de A\u00f1os", "graph_builder.settings.year.next": "Siguiente", "graph_builder.settings.year.previous": "Anterior", "graph_builder.table.agproduct": "", diff --git a/app/locales/es-col/translations_2016.js b/app/locales/es-col/translations_2016.js index 6f4a721d..7a0cb712 100644 --- a/app/locales/es-col/translations_2016.js +++ b/app/locales/es-col/translations_2016.js @@ -419,7 +419,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "a", - "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year": "Selector de A\u00f1os", "graph_builder.settings.year.next": "Siguiente", "graph_builder.settings.year.previous": "Anterior", "graph_builder.table.agproduct": "Producto Agr\u00edcola", diff --git a/app/locales/es-col/translationsold.js b/app/locales/es-col/translationsold.js index 9c3865a5..a5249729 100644 --- a/app/locales/es-col/translationsold.js +++ b/app/locales/es-col/translationsold.js @@ -365,7 +365,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "a", - "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year": "Selector de A\u00f1os", "graph_builder.settings.year.next": "Siguiente", "graph_builder.settings.year.previous": "Anterior", "graph_builder.table.agproduct": "", diff --git a/app/locales/es-mex/translations.js b/app/locales/es-mex/translations.js index 16bea1a5..2b997ed0 100644 --- a/app/locales/es-mex/translations.js +++ b/app/locales/es-mex/translations.js @@ -212,6 +212,7 @@ export default { "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00edses de origen agrupados por regi\u00f3n del mundo. Fuente: SAT, IMSS y c\u00e1lculos propios del CID.", "graph_builder.explanation.show": "Muestre m\u00e1s", "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.types": "Graficas disponibles", "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades de Mexico representan una porci\u00f3n mayor del empleo este sector?", "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Mexico representan una porci\u00f3n mayor de los salarios pagados en este sector?", "graph_builder.page_title.industry.departments.employment": "\u00bfQu\u00e9 lugares en M\u00e9xico ocupan m\u00e1s gente en esta industria?", @@ -287,7 +288,7 @@ export default { "graph_builder.settings.rca.greater": "> 1", "graph_builder.settings.rca.less": "< 1", "graph_builder.settings.to": "a", - "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year": "Selector de A\u00f1os", "graph_builder.settings.year.next": "Pr\u00f3ximo", "graph_builder.settings.year.previous": "Previo", "graph_builder.table.average_wages": "Salarios promedio, MX$ (miles de pesos)", @@ -358,6 +359,8 @@ export default { "index.complexity_head": "La ventaja de la complejidad", "index.complexity_subhead": "Los pa\u00edses que exportan productos complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido que los que exportan materias primas. Usando los m\u00e9todos de medir y visualizar la complejidad desarrollados por la Universidad de Harvard, el Atlas de Complejidad Econ\u00f3mica permite entender la complejidad y las posibilidades productivas y de exportaci\u00f3n de las entidades y ciudades mexicanas.", "index.country_profile": "Lea el perfil de M\u00e9xico", + "index.country_profile_p1": "Lea el perfil", + "index.country_profile_p2": "De colombia", "index.dropdown.industries": "294,359", "index.dropdown.locations": "2533,2501,2511,2539,2513", "index.dropdown.products": "1143,87", @@ -365,8 +368,13 @@ export default { "index.future_subhead": "Encuentre qu\u00e9 exportaciones o industrias tienen las mejores posibilidades en su entidad o ciudad.", "index.graphbuilder.id": "87", "index.header_h1": "Atlas de complejidad econ\u00f3mica", + "index.header_h1_add": "Quires saber", + "index.header_h1_p1": "El atlas colombiano de", + "index.header_h1_p2": "Complejidad econ\u00f3mica", "index.header_head": "M\u00e9xico como usted nunca lo ha visto", "index.header_subhead": "Visualice las posibilidades de cualquier industria, cualquier producto de exportaci\u00f3n o cualquier lugar en M\u00e9xico.", + "index.header_subhead_add": "\u00bfQue sectores emplean m\u00e1s gente en bogot\u00e1?", + "index.button_more_information": "M\u00e1s informaci\u00f3n", "index.industry_head": "Ent\u00e9rese de una industria", "index.industry_q1": "\u00bfD\u00f3nde emplea m\u00e1s gente el sector de seguros en M\u00e9xico?", "index.industry_q1.id": "294", @@ -390,8 +398,11 @@ export default { "index.profiles_head": "Comience por nuestros perfiles", "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas", + "index.questions_head_p1": "Actualizaciones", + "index.questions_head_p2": "M\u00f3dulos comercio exterior y sectores", "index.questions_subhead": "Pero podemos responder muchas preguntas.", "index.research_head": "Investigaci\u00f3n mencionada en", + "index.sophistication_route": "Ruta de sofisticaci\u00f3n y diversificaci\u00f3n de producto", "industry.show.avg_wages": "Salarios promedio ({{year}})", "industry.show.employment": "Empleo ({{year}})", "industry.show.employment_and_wages": "Actividad econ\u00f3mica formal por industrias", @@ -439,7 +450,8 @@ export default { "pageheader.rankings": "Rankings", "pageheader.search_link": "Buscar", "pageheader.search_placeholder": "Busque el lugar, producto o sector", - "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.header": "Realice una busqueda por", + "pageheader.search_placeholder.industry": "Sector o por c\u00f3digo CIIU", "pageheader.search_placeholder.location": "Busque un lugar", "pageheader.search_placeholder.product": "Busque un producto", "rankings.explanation.body": "", @@ -466,6 +478,15 @@ export default { "search.results_industries": "Sectores", "search.results_locations": "Lugares", "search.results_products": "Productos", + "search.sophistication_path_place": "Ruta de sofisticacion y diversificacion de lugar", + "search.sophistication_path_product": "Ruta de sofisticacion y diversificacion de producto", + "search.message.p1": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.", + "search.message.p2": "Haga uso del interrogante para ampliar la información.", + "search.modal.title": "CODIGO CIIU", + "search.modal.p1": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", + "search.placeholder.select2": "Busqueda por Nombre o Codigo CIIU", + "search.modal.close": "Cerrar", "table.export_data": "Descargar Datos", - "thousands_delimiter": "," -}; \ No newline at end of file + "thousands_delimiter": ",", + "header_nav.search": "REALICE UNA BUSQUEDA POR" +}; diff --git a/app/locales/es-peru/translations.js b/app/locales/es-peru/translations.js index 704a255a..4c371a1e 100644 --- a/app/locales/es-peru/translations.js +++ b/app/locales/es-peru/translations.js @@ -208,6 +208,7 @@ export default { "graph_builder.explanation.product.partners.import_value": "Muestra el origen de las importaciones de este producto, por pa\u00eds y regi\u00f3n del mundo. Fuente: DIAN.", "graph_builder.explanation.show": "Muestre m\u00e1s", "graph_builder.multiples.show_all": "Mostrar todo", + "graph_builder.types": "Graficas disponibles", "graph_builder.page_title.industry.cities.employment": "\u00bfQu\u00e9 ciudades en Mexico ocupan m\u00e1s gente en este sector?", "graph_builder.page_title.industry.cities.wages": "\u00bfQu\u00e9 ciudades en Peru tienen las mayores n\u00f3minas salariales en este sector?", "graph_builder.page_title.industry.departments.employment": "", @@ -283,7 +284,7 @@ export default { "graph_builder.settings.rca.greater": "RCA mayor o igual a 1", "graph_builder.settings.rca.less": "RCA menos de 1", "graph_builder.settings.to": "a", - "graph_builder.settings.year": "A\u00f1os", + "graph_builder.settings.year": "Selector de A\u00f1os", "graph_builder.settings.year.next": "Siguiente", "graph_builder.settings.year.previous": "Anterior", "graph_builder.table.average_wages": "Salarios promedio, MX$ (miles de pesos)", @@ -353,6 +354,8 @@ export default { "index.complexity_head": "La ventaja de la complejidad", "index.complexity_subhead": "Las econom\u00edas que exportan productos m\u00e1s complejos, que requieren una gran cantidad de conocimientos, crecen m\u00e1s r\u00e1pido. Usando los m\u00e9todos para medir y visualizar la complejidad desarrollados por la Universidad de Harvard, el Atlas de Complejidad Econ\u00f3mica permite entender la complejidad y las posibilidades productivas y de exportaci\u00f3n de los departamentos y provincias peruanos.", "index.country_profile": "Lea el perfil de Per\u00fa", + "index.country_profile_p1": "Lea el perfil", + "index.country_profile_p2": "De colombia", "index.dropdown.industries": "294,359", "index.dropdown.locations": "206,2501,87,2539", "index.dropdown.products": "1143,87", @@ -360,8 +363,13 @@ export default { "index.future_subhead": "Encuentre qu\u00e9 productos de exportaci\u00f3n tienen las mejores posibilidades en su departamento o provincia.", "index.graphbuilder.id": "87", "index.header_h1": "El Atlas Peruano de Complejidad Econ\u00f3mica", + "index.header_h1_add": "Quires saber", + "index.header_h1_p1": "El atlas colombiano de", + "index.header_h1_p2": "Complejidad econ\u00f3mica", "index.header_head": "Peru como usted nunca lo ha visto", "index.header_subhead": "Visualice las posibilidades de cualquier producto de exportaci\u00f3n o lugar en Per\u00fa.", + "index.header_subhead_add": "\u00bfQue sectores emplean m\u00e1s gente en bogot\u00e1?", + "index.button_more_information": "M\u00e1s informaci\u00f3n", "index.industry_head": "", "index.industry_q1": "", "index.industry_q1.id": "294", @@ -385,8 +393,11 @@ export default { "index.profiles_head": "Comience por nuestros perfiles", "index.profiles_subhead": "S\u00f3lo lo esencial, en un resumen de una p\u00e1gina", "index.questions_head": "No somos una bola de cristal, pero podemos responder muchas preguntas.", + "index.questions_head_p1": "Actualizaciones", + "index.questions_head_p2": "M\u00f3dulos comercio exterior y sectores", "index.questions_subhead": "Pero podemos responder muchas preguntas.", "index.research_head": "Investigaci\u00f3n mencionada en", + "index.sophistication_route": "Ruta de sofisticaci\u00f3n y diversificaci\u00f3n de producto", "industry.show.avg_wages": "Salarios promedio ({{year}})", "industry.show.employment": "Empleo ({{year}})", "industry.show.employment_and_wages": "Actividad econ\u00f3mica formal por industrias", @@ -433,7 +444,8 @@ export default { "pageheader.rankings": "Rankings", "pageheader.search_link": "Buscar", "pageheader.search_placeholder": "Busque el lugar o producto de exportaci\u00f3n", - "pageheader.search_placeholder.industry": "Busque un sector", + "pageheader.search_placeholder.header": "Realice una busqueda por", + "pageheader.search_placeholder.industry": "Sector o por c\u00f3digo CIIU", "pageheader.search_placeholder.location": "Busque un lugar", "pageheader.search_placeholder.product": "Busque un producto de exportaci\u00f3n", "rankings.explanation.body": "", @@ -460,6 +472,15 @@ export default { "search.results_industries": "Sectores", "search.results_locations": "Lugares", "search.results_products": "Productos de exportaci\u00f3n", + "search.sophistication_path_place": "Ruta de sofisticacion y diversificacion de lugar", + "search.sophistication_path_product": "Ruta de sofisticacion y diversificacion de producto", + "search.message.p1": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.", + "search.message.p2": "Haga uso del interrogante para ampliar la información.", + "search.modal.title": "CODIGO CIIU", + "search.modal.p1": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", + "search.placeholder.select2": "Busqueda por Nombre o Codigo CIIU", + "search.modal.close": "Cerrar", "table.export_data": "Descargar datos", - "thousands_delimiter": "," -}; \ No newline at end of file + "thousands_delimiter": ",", + "header_nav.search": "REALICE UNA BUSQUEDA POR" +}; diff --git a/app/styles/components/_components/_datatables.scss b/app/styles/components/_components/_datatables.scss new file mode 100644 index 00000000..0ce52bc9 --- /dev/null +++ b/app/styles/components/_components/_datatables.scss @@ -0,0 +1,63 @@ +.dataTables_filter label{ + display: inline-block; +} + +table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control, table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control{ + padding-left: 50px; +} + +.table-hover tbody tr:hover{ + color: $colorBase; + background-color: $colorSecondary; + cursor: pointer; +} + +.dataTables_filter, .dataTables_info{ + color: white; +} + +.datlas thead{ + background-color: $colorSecondary; + color: $colorBase; +} + + +.datlas th, .datlas td{ + border: none; +} + +.even{ + background-color: $colorThree; +} + + +.table th, .table td{ + padding: 2rem; +} + +table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control:before, table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control:before{ + background-color: $colorSecondary; + left: 15px; +} + + +.page-item.active .page-link{ + background-color: $colorBase; + border-color: $colorBase; +} + +.page-link, .page-link:hover{ + color: $colorBase; + background-color: $colorThree; + border-color: $colorBase; +} + +.page-item.disabled .page-link{ + color: $colorBase; + background-color: $colorThree; + border-color: $colorBase; +} + +.form-control-sm{ + font-size: 1.8rem; +} diff --git a/app/styles/components/_components/_modal.scss b/app/styles/components/_components/_modal.scss new file mode 100644 index 00000000..43dc8ac4 --- /dev/null +++ b/app/styles/components/_components/_modal.scss @@ -0,0 +1,12 @@ + +.modal-content{ + background-color: $colorBase; +} + +.modal-header, .modal-footer{ + border: none; +} + +.rect-principal{ + fill: $colorBase; +} diff --git a/app/styles/components/_components/_search.scss b/app/styles/components/_components/_search.scss index 9a253e19..9b592a6f 100755 --- a/app/styles/components/_components/_search.scss +++ b/app/styles/components/_components/_search.scss @@ -13,7 +13,7 @@ position: absolute; top: 0; right: 0; - + } } @@ -25,15 +25,11 @@ } .search { - transition: background $animationTime $animationEasing; - background: $colorGrayLightest; font-size: $fontSmall; font-weight: 300; padding: $baseSpace/2 $baseSpace; - width: 100%; - height: 100%; font-family: $sans; - border: solid 1px $colorWhite; + height: auto; &:active, &:focus { outline: 0; @@ -42,7 +38,6 @@ } } &::-webkit-input-placeholder { - transition: color $animationTime $animationEasing; color: $colorGrayLight; font-size: $fontSmall; } @@ -79,3 +74,8 @@ .search:invalid ~ .search__reset { display: none; } + +.seach__placeholder__title{ + font-size: 6rem; + color: $colorSecondary; +} diff --git a/app/styles/components/_components/_table.scss b/app/styles/components/_components/_table.scss index 738387e7..b587b6a8 100755 --- a/app/styles/components/_components/_table.scss +++ b/app/styles/components/_components/_table.scss @@ -64,4 +64,15 @@ } +.datlas-table th, .datlas-table td{ + vertical-align: middle; + border: none; +} + +.datlas-table .even{ + background-color: $colorThree; +} +.select2-container{ + flex: 1 1 auto !important; +} diff --git a/app/styles/components/_components/_treemap.scss b/app/styles/components/_components/_treemap.scss new file mode 100644 index 00000000..e4fe4e95 --- /dev/null +++ b/app/styles/components/_components/_treemap.scss @@ -0,0 +1,79 @@ +#chart { + background: #fff; + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; +} + +.title { + font-weight: bold; + font-size: 24px; + text-align: center; + margin-top: 6px; + margin-bottom: 6px; +} +text { + pointer-events: none; +} + +.grandparent text { + font-weight: bold; + font-size: 1.6rem; +} + +rect { + fill: none; + stroke: #fff; +} + +rect.parent, +.grandparent rect { + stroke-width: 3px; +} + +rect.parent { + pointer-events: none; +} + +.grandparent rect { + fill: orange; +} + +.grandparent:hover rect { + fill: #ee9700; +} + +.children rect.parent, +.grandparent rect { + cursor: pointer; +} + +.children rect.parent { + fill: #bbb; + fill-opacity: 1; +} + +.children:hover rect.child { + fill: #bbb; +} + +tspan{ + fill: white; +} + +rect{ + stroke: #292A48; +} + +.tspan-treemap{ + font-size: 1rem; +} + +.tab-content > .tab-pane:not(.active), +.pill-content > .pill-pane:not(.active) { + display: block; + height: 0; + overflow-y: hidden; +} + +.depth rect, .grandparent rect { + stroke: $colorBase; +} \ No newline at end of file diff --git a/app/styles/components/_modules/_buildermod.scss b/app/styles/components/_modules/_buildermod.scss index 15da5ba6..9eefe513 100755 --- a/app/styles/components/_modules/_buildermod.scss +++ b/app/styles/components/_modules/_buildermod.scss @@ -73,7 +73,6 @@ .buildermod__viz { position: relative; - min-height: 500px; &--white { background: $colorWhite; } diff --git a/app/styles/components/_modules/_header-nav.scss b/app/styles/components/_modules/_header-nav.scss new file mode 100644 index 00000000..5696dcee --- /dev/null +++ b/app/styles/components/_modules/_header-nav.scss @@ -0,0 +1,5 @@ +.header__nav__title{ + color: $colorYellow; + text-transform: uppercase; + font-size: 4rem; +} diff --git a/app/styles/components/_modules/_index.scss b/app/styles/components/_modules/_index.scss index 6d776610..8fb034e9 100755 --- a/app/styles/components/_modules/_index.scss +++ b/app/styles/components/_modules/_index.scss @@ -408,16 +408,20 @@ margin: 0; } -.stream__section__wrap__yellow{ +.title_yellow{ color: $colorYellow; text-transform: uppercase; font-size: 4rem; } -.stream__section__wrap__white{ +.text_yellow{ + color: $colorYellow; +} + +.title_white{ color: $colorWhite; text-transform: uppercase; - font-size: 5rem; + font-size: 4rem; } .stream__section__subhead__wrap__white{ diff --git a/app/styles/components/_modules/_layout.scss b/app/styles/components/_modules/_layout.scss index bcafd1b0..e6dc9093 100755 --- a/app/styles/components/_modules/_layout.scss +++ b/app/styles/components/_modules/_layout.scss @@ -32,3 +32,17 @@ .stream__article--no--indent { margin: $baseSpace*3; } + +.row-without-margin{ + margin: 0; +} + +.select2-selection--single { + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; +} + +.select2-drop li { + white-space: pre-line; +} diff --git a/app/styles/components/_modules/_pageheader.scss b/app/styles/components/_modules/_pageheader.scss index dd38d75f..21e3795a 100755 --- a/app/styles/components/_modules/_pageheader.scss +++ b/app/styles/components/_modules/_pageheader.scss @@ -19,6 +19,7 @@ margin: auto; padding:4vw; padding-top: 10vh; + padding-bottom: 5vh; } // Branding @@ -128,7 +129,7 @@ left: 2px; bottom: 2px; right: 2px; - background-color: $colorRed; + background-color: $colorBase; border-radius: $baseSpace / 2; } &:after { diff --git a/app/styles/components/_modules/_stream-header.scss b/app/styles/components/_modules/_stream-header.scss index 405e13b3..ace76fb3 100755 --- a/app/styles/components/_modules/_stream-header.scss +++ b/app/styles/components/_modules/_stream-header.scss @@ -268,6 +268,14 @@ .pr-md-x10{ padding-right: ($spacer * 10) !important; } + + .pt-md-x10{ + padding-top: ($spacer * 10) !important; + } + + .px-md-x10{ + padding: 0 ($spacer * 10); + } } .center-pills { diff --git a/app/styles/components/_variables.scss b/app/styles/components/_variables.scss index 4821429d..8e058d53 100755 --- a/app/styles/components/_variables.scss +++ b/app/styles/components/_variables.scss @@ -18,6 +18,7 @@ $serifSC: 'Alegreya SC', Georgia, serif; $colorBase: #292A48; $colorYellow: #FFCD00; $colorSecondary: #C2C4FF; +$colorThree: #7C7EAC; $colorBlack: rgb( 25, 25, 20 ); $colorGrayDark: rgb( 83, 83, 79 ); diff --git a/app/styles/components/_visualizations/_area-chart-multiples.scss b/app/styles/components/_visualizations/_area-chart-multiples.scss index 364d1341..b0bef2d7 100755 --- a/app/styles/components/_visualizations/_area-chart-multiples.scss +++ b/app/styles/components/_visualizations/_area-chart-multiples.scss @@ -44,6 +44,12 @@ } .chart__title { + color: $colorBase; + text-align: center !important; + background-color: $colorSecondary; + padding: 5px; + writing-mode: vertical-lr; + transform: rotate(180deg); font-weight: 500; font-size: $fontSmall; position: relative; @@ -66,7 +72,7 @@ .chart__wrap { font-size: $fontTiny; text { - fill: $colorSecondary; + fill: white; } } @@ -114,7 +120,7 @@ .axis--y { line { - stroke: $colorSecondary; + stroke: $colorWhite; fill: none; shape-rendering: crispEdges; pointer-events: none; @@ -126,7 +132,7 @@ } .marker_fixed{ - fill: #ee4036; + fill: #80D8FF; } .caption, .year, .marker { @@ -136,3 +142,19 @@ .hidden { opacity: 0; } + +.tooltip-max_value, .tooltip-value{ + fill: white; +} + +.max_value{ + fill: black !important; +} + +rect{ + stroke: none; +} + +.caption{ + fill: black !important; +} diff --git a/app/styles/components/components.scss b/app/styles/components/components.scss index 30789d2a..76cfea00 100755 --- a/app/styles/components/components.scss +++ b/app/styles/components/components.scss @@ -27,6 +27,9 @@ @import '_components/_tooltip'; @import '_components/_spinner'; @import '_components/_columns'; +@import '_components/_treemap'; +@import '_components/_datatables'; +@import '_components/_modal'; // Modules @import '_modules/_layout'; @@ -55,6 +58,7 @@ @import '_modules/_results'; @import '_modules/_explanation'; @import '_modules/_select-dropdown'; +@import '_modules/_header-nav'; // Visualizations @import '_visualizations/_dotplot'; diff --git a/app/templates/application.hbs b/app/templates/application.hbs index 01cd49aa..ed5fd0e2 100755 --- a/app/templates/application.hbs +++ b/app/templates/application.hbs @@ -5,7 +5,7 @@ {{outlet 'search'}} {{#if showStreamer }} -
+
{{ render 'header-nav' controller='application'}}
{{outlet}} diff --git a/app/templates/components/autocomplete-input-datlas.hbs b/app/templates/components/autocomplete-input-datlas.hbs new file mode 100644 index 00000000..9c0d94bd --- /dev/null +++ b/app/templates/components/autocomplete-input-datlas.hbs @@ -0,0 +1,12 @@ +
+ + +
+ + {{#if reset }} + + {{/if}} +
+ + +
diff --git a/app/templates/components/datlas-table.hbs b/app/templates/components/datlas-table.hbs new file mode 100644 index 00000000..efb85669 --- /dev/null +++ b/app/templates/components/datlas-table.hbs @@ -0,0 +1 @@ +
diff --git a/app/templates/components/graphbuilder-change-graph.hbs b/app/templates/components/graphbuilder-change-graph.hbs index e7da9f8c..065fe11c 100755 --- a/app/templates/components/graphbuilder-change-graph.hbs +++ b/app/templates/components/graphbuilder-change-graph.hbs @@ -1 +1,3 @@ -{{t description}} +
+ +
diff --git a/app/templates/components/graphbuilder-settings.hbs b/app/templates/components/graphbuilder-settings.hbs index 11351bff..cd61eeb9 100755 --- a/app/templates/components/graphbuilder-settings.hbs +++ b/app/templates/components/graphbuilder-settings.hbs @@ -1,6 +1,26 @@ {{#if canYearToggle}} {{#unless isSingleYear}} -
+ +
+

{{t 'graph_builder.settings.year'}}

+
+ +
+ +
+ +

{{year}}

+ +
+ + +
+ + + {{/unless}} {{/if}} {{#if isScatter }} +
+ {{/if}} diff --git a/app/templates/components/multiples-graph.hbs b/app/templates/components/multiples-graph.hbs index 8774eaaa..438ce6c0 100755 --- a/app/templates/components/multiples-graph.hbs +++ b/app/templates/components/multiples-graph.hbs @@ -1,6 +1,6 @@
-
diff --git a/app/templates/components/small-multiples-set.hbs b/app/templates/components/small-multiples-set.hbs index dad39c69..6a0a09a3 100755 --- a/app/templates/components/small-multiples-set.hbs +++ b/app/templates/components/small-multiples-set.hbs @@ -1,5 +1,5 @@ {{#unless isFiltered }} -

{{setTitle}}

+ {{/unless}} {{#if showTotal}} diff --git a/app/templates/components/stream-header.hbs b/app/templates/components/stream-header.hbs index 1ef1fef0..b09b1bda 100755 --- a/app/templates/components/stream-header.hbs +++ b/app/templates/components/stream-header.hbs @@ -9,16 +9,12 @@ {{/each}} {{/if}} - {{#if isProduct }} -
    -
  • {{t 'general.product' }}
    • -
- {{/if}} + {{#if isIndustry}} @@ -34,20 +30,35 @@ {{/if}} {{/if}} {{#if isProduct}} -

{{model.name}} ({{model.code}})

- {{#if isShowingIndex}} - {{ partial 'partials/builder-questions-product'}} - {{/if}} + + + {{/if}} {{#if isIndustry}}
-

SECTOR

+

{{ t 'general.industry' }}

{{model.name}} ({{model.code}})

{{#if isShowingIndex}} {{ partial 'partials/builder-questions-industry'}} {{/if}} {{/if}} + + {{#if isProduct }} + +
+

{{ t 'general.product' }}

+

{{model.name}} ({{model.code}})

+
+ + {{/if}} + {{#if isLandUse}}

{{model.name}}

{{#if isShowingIndex}} diff --git a/app/templates/components/visualization-explanation.hbs b/app/templates/components/visualization-explanation.hbs index a048f47e..c022460c 100755 --- a/app/templates/components/visualization-explanation.hbs +++ b/app/templates/components/visualization-explanation.hbs @@ -1,7 +1,15 @@ -
+
+
+

{{t 'graph_builder.explanation'}}

+
+
+

{{text}}

+
+
+ diff --git a/app/templates/components/zoomable-treemap.hbs b/app/templates/components/zoomable-treemap.hbs new file mode 100644 index 00000000..889d9eea --- /dev/null +++ b/app/templates/components/zoomable-treemap.hbs @@ -0,0 +1 @@ +{{yield}} diff --git a/app/templates/header-nav.hbs b/app/templates/header-nav.hbs index 96f920d1..939507a4 100644 --- a/app/templates/header-nav.hbs +++ b/app/templates/header-nav.hbs @@ -1,5 +1,10 @@
+ +
+

{{ t 'header_nav.search' }}

+
+
{{#link-to 'search' @@ -54,5 +59,27 @@
+
+ {{#link-to 'search' + (query-params filter='results_products') + class="btn btn-outline-secondary btn-lg btn-block text-uppercase" + activeClass="active" + data-side-search-link='locations' + }} + {{ t 'search.sophistication_path_place' }} + {{/link-to}} +
+ +
+ {{#link-to 'search' + (query-params filter='results_products') + class="btn btn-outline-secondary btn-lg btn-block text-uppercase" + activeClass="active" + data-side-search-link='locations' + }} + {{ t 'search.sophistication_path_product' }} + {{/link-to}} +
+
\ No newline at end of file diff --git a/app/templates/index.hbs b/app/templates/index.hbs index 97d2dc17..2e9085d8 100755 --- a/app/templates/index.hbs +++ b/app/templates/index.hbs @@ -1,104 +1,116 @@ -
-
-
-
+
+
-
-
-
-

{{ t 'index.header_h1_p1' }}

-

{{ t 'index.header_h1_p2' }}

-
-
-

{{ t 'index.header_subhead' }}

- -
- {{input - class="search" - placeholder=( t 'pageheader.search_placeholder' ) - value=query - enter='query' - target=controllers.search - required='required' - }} - +
+ + +
+
+

{{ t 'index.header_h1_p1' }}

+

{{ t 'index.header_h1_p2' }}

- - +
+

{{ t 'index.header_subhead' }}

+ +
+ {{input + class="form-control search" + type="text" + placeholder=( t 'pageheader.search_placeholder' ) + value=query + enter='query' + target=controllers.search + required='required' + autocomplete='off' + }} +
+
+
+
+ + -

{{ t 'index.questions_head_p1' }}

+
+
+

{{ t 'index.questions_head_p1' }}

+
+
-
-
+ +
-

{{ t 'index.questions_head_p2' }}

+
+ - {{#if showLocations }} -
-
-

{{ t 'index.location_head' }}

-
-
- {{select-dropdown collection=sortedLocations selected=sortedLocations.[0].id type='location' class="dropdown-update"}} -
+
+
+ +

{{ t 'index.questions_head_p2' }}

+ + {{#if showLocations }} +
+
+

{{ t 'index.location_head' }}

+
+
+ {{autocomplete-input-datlas data_search=locationsData type='location' idSelect='location_search'}}
- {{/if}} +
+ {{/if}} - {{#if showIndustries }} -
-
-

{{ t 'index.industry_head' }}

-
-
- {{select-dropdown collection=sortedIndustries selected=sortedIndustries.[0].id type='industry' class="dropdown-update border-light"}} -
+ {{#if showIndustries }} +
+
+

{{ t 'index.industry_head' }}

- {{/if}} +
+ {{autocomplete-input-datlas data_search=industriesData type='industry' idSelect='industry_search'}} +
+
+ {{/if}} - {{#if showProducts }} -
-
-

{{ t 'index.product_head' }}

-
-
- {{select-dropdown collection=sortedProducts selected=sortedProducts.[0].id type='product' class="dropdown-update"}} -
+ {{#if showProducts }} +
+
+

{{ t 'index.product_head' }}

+
+
+ {{autocomplete-input-datlas data_search=productsData type='product' idSelect='product_search'}}
- {{/if}} +
+ {{/if}} - {{#if showFarmAndLand }} -
-
-

{{ t 'index.farmandland_head' }}

-
-
- {{select-dropdown collection=sortedAgproducts selected=sortedAgproducts.[0].id type='agproduct' class="dropdown-update"}} -
+ {{#if showFarmAndLand }} +
+
+

{{ t 'index.farmandland_head' }}

- {{/if}} +
+ {{autocomplete-input-datlas data_search=agproductsData type='rural' idSelect='agproduct_search'}} +
+
+ {{/if}} -
-
-
-

{{ t 'index.sophistication_route'}}

-

- Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. Sed semper risus ipsum, tempus pretium leo ullamcorper eget. Donec in erat at elit tempor aliquet vitae quis dolor. Quisque mi erat, luctus sed orci eu, aliquet maximus odio. Quisque tempus scelerisque tortor vel volutpat. Nunc volutpat justo non arcu mollis, a suscipit lacus porttitor. Cras euismod, nunc ac lacinia tristique, ipsum odio tempor metus, at lobortis nibh tellus sed lacus. Quisque mollis cursus sem, nec pellentesque dolor faucibus quis. -

- -
+
+
+
+

{{ t 'index.sophistication_route'}}

+

+ Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. Sed semper risus ipsum, tempus pretium leo ullamcorper eget. Donec in erat at elit tempor aliquet vitae quis dolor. Quisque mi erat, luctus sed orci eu, aliquet maximus odio. Quisque tempus scelerisque tortor vel volutpat. Nunc volutpat justo non arcu mollis, a suscipit lacus porttitor. Cras euismod, nunc ac lacinia tristique, ipsum odio tempor metus, at lobortis nibh tellus sed lacus. Quisque mollis cursus sem, nec pellentesque dolor faucibus quis. +

+
-
-
+ + + + +

{{ t 'index.present_head' }}

{{ t 'index.present_subhead' }}

@@ -116,7 +128,8 @@

{{ t 'general.geo' }}

-
+ +

{{ t 'general.scatter' }}

@@ -130,23 +143,22 @@

{{ t 'index.future_subhead' }}

-
-
-
-

{{ t 'index.complexity_head' }}

-

{{ t 'index.complexity_subhead' }}

-
- {{#link-to 'about.glossary' - data-home-page-product='' - class="text-uppercase btn btn-outline-light btn-large mt-5" - }} - {{ t 'index.complexity_cta' }} - {{/link-to}} -
+ +
+
+

{{ t 'index.complexity_head' }}

+

{{ t 'index.complexity_subhead' }}

+
+ {{#link-to 'about.glossary' + data-home-page-product='' + class="text-uppercase btn btn-outline-light btn-large mt-5" + }} + {{ t 'index.complexity_cta' }} + {{/link-to}}
-
+

{{ t 'index.country_profile_p1' }}

@@ -161,26 +173,30 @@
-
- +
+
-
- - {{#if featureToggle.homepage_logos }} -
-
    - {{#each logo in featureToggle.homepage_logos}} -
  • - - {{logo.name}} - -
    • - {{/each}} -
-
- {{/if}} + + {{#if featureToggle.homepage_logos }} +
+
    + {{#each logo in featureToggle.homepage_logos}} +
  • + + {{logo.name}} + +
    • + {{/each}} +
+
+ {{/if}} + + +
+ +
diff --git a/app/templates/industry/-questions.hbs b/app/templates/industry/-questions.hbs index 41bc00f8..99904dd0 100755 --- a/app/templates/industry/-questions.hbs +++ b/app/templates/industry/-questions.hbs @@ -1,14 +1,14 @@ -
-
+
-
-
+
+
+

Realice una búsqueda por Temáticas del sector

+
-
-
+

{{t 'graph_builder.builder_questions.employment'}}

@@ -30,7 +30,8 @@
-
+ +

{{t 'graph_builder.builder_questions.wage'}}

@@ -52,8 +53,7 @@
-
+
-
diff --git a/app/templates/industry/loading.hbs b/app/templates/industry/loading.hbs index 949c5f45..1ec367e6 100755 --- a/app/templates/industry/loading.hbs +++ b/app/templates/industry/loading.hbs @@ -1,4 +1,6 @@ -
- +
+
diff --git a/app/templates/industry/show.hbs b/app/templates/industry/show.hbs index f14a7f3f..f3d20baf 100755 --- a/app/templates/industry/show.hbs +++ b/app/templates/industry/show.hbs @@ -10,147 +10,157 @@ occupationLastYear=occupationLastYear }} -
-
+
+
-
-

+
+

{{t 'industry.show.employment_and_wages'}}

-
- - - - - - - - - - - - - - - {{#if hasAverageWage }} +
+ +
+
Item{{t 'industry.show.value'}}{{t 'industry.show.industries'}}
{{t 'industry.show.employment_growth' yearRange=yearRange}}{{model.displayEmploymentGrowth}} - {{vistk-dotplot - elementId='dotplot--employment-growth' - data=employmentGrowthDotPlot - varX='employment_growth' - varText='name_en' - varId='industry_id' - type='percentage' - currentSelection=model.id - }} -
+ + + + + + + + + + + - - + + - {{/if}} - -
Item{{t 'industry.show.value'}}{{t 'industry.show.industries'}}
{{t 'industry.show.avg_wages' year=lastYear}}{{model.lastAvgWage}}{{t 'industry.show.employment_growth' yearRange=yearRange}}{{model.displayEmploymentGrowth}} + {{vistk-dotplot - elementId='dotplot--avg-wage' - data=averageWageDotPlot - varX='avg_wage' + elementId='dotplot--employment-growth' + data=employmentGrowthDotPlot + varX='employment_growth' varText='name_en' varId='industry_id' + type='percentage' currentSelection=model.id }}
+ {{#if hasAverageWage }} + + {{t 'industry.show.avg_wages' year=lastYear}} + {{model.lastAvgWage}} + + + {{vistk-dotplot + elementId='dotplot--avg-wage' + data=averageWageDotPlot + varX='avg_wage' + varText='name_en' + varId='industry_id' + currentSelection=model.id + }} + + + {{/if}} + + +
+ +

-
+
+ +
-
+
-
-
- {{#if hasAverageWage }} -
-
- {{multiples-graph - data=departmentsData - immutableData=departmentsData - isInTab='true' - varDependent='monthly_wages' - startDate=firstYear - endDate=lastYear - }} +
+
+ {{#if hasAverageWage }} +
+
+ {{multiples-graph + data=departmentsData + immutableData=departmentsData + isInTab='true' + varDependent='monthly_wages' + startDate=firstYear + endDate=lastYear + }} +
-
- {{/if}} -
-
-
-
- {{vistk-treemap - isInTab='true' + {{/if}} +
+
+
+ {{ + zoomable-treemap data=recentDepartmentsData - immutableData=recentDepartmentsData - elementId='employment-vistk-treemap' varDependent='employment' + elementId='employment-vistk-treemap' + class="position-relative" }}
+
+
{{#unless isIndustryClass}} -
-
-

{{t 'industry.show.occupation'}}

-
- {{#ivy-tabs}} - {{#ivy-tab-list classNames='tabmod__tabs'}} - {{#ivy-tab classNames='tabmod__tab' activeClass='tabmod__tab--is--active'}} - {{t 'industry.show.occupation_demand' year=occupationLastYear}} - {{/ivy-tab}} - {{/ivy-tab-list}} - {{#ivy-tab-panel classNames='tabmod__card' activeClass='tabmod__card--is--active'}} -
-
- {{vistk-treemap - isInTab='true' - data=occupationsData - immutableData=occupationsData - elementId='occupation-vistk-treemap' - varDependent='num_vacancies' - }} -
-
- {{/ivy-tab-panel}} - {{/ivy-tabs}} -
+ +
+
+
+

{{t 'industry.show.occupation_demand'}} {{occupationLastYear}}

+ {{ + zoomable-treemap + data=occupationsData + varDependent='num_vacancies' + elementId='occupation-vistk-treemap' + class="position-relative" + }} +
+
+
+ {{/unless}} + {{#if hasChildrenIndustries}} -
-
+ +
+

{{t 'industry.show.industry_composition' year=lastYear}}

-
- {{component 'graphbuilder-table' - data=model.classIndustries - source="industries" - }} -
+ {{ + datlas-table + data=model.classIndustries + source="industries" + entityType=entityType + elementId="industriesTable" + }} + + + {{/if}} diff --git a/app/templates/loading.hbs b/app/templates/loading.hbs index 949c5f45..1ec367e6 100755 --- a/app/templates/loading.hbs +++ b/app/templates/loading.hbs @@ -1,4 +1,6 @@ -
- +
+
diff --git a/app/templates/location/loading.hbs b/app/templates/location/loading.hbs index 949c5f45..1ec367e6 100755 --- a/app/templates/location/loading.hbs +++ b/app/templates/location/loading.hbs @@ -1,4 +1,6 @@ -
- +
+
diff --git a/app/templates/location/visualization-product.hbs b/app/templates/location/visualization-product.hbs index a6918f7a..c1a8c8e1 100755 --- a/app/templates/location/visualization-product.hbs +++ b/app/templates/location/visualization-product.hbs @@ -27,6 +27,7 @@

{{pageTitle}}

+

Hola 2

diff --git a/app/templates/partials/-buildermod-drawer-change-graph.hbs b/app/templates/partials/-buildermod-drawer-change-graph.hbs index 7a0c734a..8557fb66 100755 --- a/app/templates/partials/-buildermod-drawer-change-graph.hbs +++ b/app/templates/partials/-buildermod-drawer-change-graph.hbs @@ -1,14 +1,12 @@ -
+
{{#each graph in otherPossibleGraphs}} {{#if graph.available}} -
{{component 'graphbuilder-change-graph' toggleVisualization='toggleVisualization' type=graph.type description=graph.description visualization=visualization }} -
{{/if}} {{/each}}
diff --git a/app/templates/partials/-buildermod-search.hbs b/app/templates/partials/-buildermod-search.hbs index 190ce97c..a3178e57 100755 --- a/app/templates/partials/-buildermod-search.hbs +++ b/app/templates/partials/-buildermod-search.hbs @@ -1,4 +1,45 @@ -
+ + +
+ + + + + + +
+
+ + +
+ {{component 'graphbuilder-settings' + classNames='buildermod__settings' + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=canYearToggle + isScatter=isScatter + rcaFilter=rcaFilter + }} +
+ + +
+
+ + + BÚSQUE POR DEPARTAMENTO O CÓDIGO DANE +
+ + {{autocomplete-input-datlas data_search=locationsData type='search' idSelect='searchSelect' placeHolder="Búsqueda por departamento o código CIIU" search=search reset="reset" className="d-flex justify-content-center"}} +
+
+
+ +
+ + + diff --git a/app/templates/partials/-pageheader.hbs b/app/templates/partials/-pageheader.hbs index 9643ff25..5d4d9d1d 100755 --- a/app/templates/partials/-pageheader.hbs +++ b/app/templates/partials/-pageheader.hbs @@ -19,6 +19,32 @@
+
+
+
+

+ {{otherLanguage}} +

+
+ + {{input + type='checkbox' + id='toggle--languages' + class='toggle toggle--languages' + checked=isDefaultLocale + data-language-toggle='' + }} + + +
+

+ {{defaultLanguage}} +

+
+ +
+
+ {{else}} {{#link-to "index" class="pageheader__title"}} @@ -82,7 +108,7 @@

{{ t 'index.header_h1_add' }}

{{ t 'index.header_subhead_add' }}

- +
diff --git a/app/templates/product/-questions.hbs b/app/templates/product/-questions.hbs index 31a28704..76ed9666 100755 --- a/app/templates/product/-questions.hbs +++ b/app/templates/product/-questions.hbs @@ -1,4 +1,82 @@ -
+
+ +
+
+
+

Realice una búsqueda por

+
+
+
+ +
+

{{t 'graph_builder.builder_questions.export'}}

+ +
+ + {{#link-to 'product.visualization' model.id 'departments' 'geo' 'export_value' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.product.departments.export_value'}} + {{/link-to}} +
+ +
+ + {{#link-to 'product.visualization' model.id 'cities' 'multiples' 'export_value' (query-params startDate=firstYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.product.cities.export_value'}} + {{/link-to}} +
+ +
+ + {{#link-to 'product.visualization' model.id 'partners' 'treemap' 'export_value' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.product.partners.export_value'}} + {{/link-to}} +
+ +
+ +
+

{{t 'graph_builder.builder_questions.import'}}

+ +
+ + {{#link-to 'product.visualization' model.id 'departments' 'geo' 'import_value' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.product.departments.import_value'}} + {{/link-to}} +
+ +
+ + {{#link-to 'product.visualization' model.id 'cities' 'multiples' 'import_value' (query-params startDate=firstYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.product.cities.import_value'}} + {{/link-to}} +
+ +
+ + {{#link-to 'product.visualization' model.id 'partners' 'treemap' 'import_value' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.product.partners.import_value'}} + {{/link-to}} +
+ +
+ +
+
+
+ + diff --git a/app/templates/product/loading.hbs b/app/templates/product/loading.hbs index 949c5f45..1ec367e6 100755 --- a/app/templates/product/loading.hbs +++ b/app/templates/product/loading.hbs @@ -1,4 +1,6 @@ -
- +
+
diff --git a/app/templates/search.hbs b/app/templates/search.hbs index 252e002d..d1ea8166 100755 --- a/app/templates/search.hbs +++ b/app/templates/search.hbs @@ -1,137 +1,176 @@ -{{#if query }} -

{{resultsLength}} {{t 'search.header'}}

-{{else}} -

{{t placeHolderText}}

-{{/if}} - - -
- {{input - class="search" - placeholder=( t placeHolderText ) - value=search - enter='query' - required='required' - data-search-input='' - }} - -
- - - -{{#if landuseResults.length}} -

{{t 'search.results_landuses'}}

-
    - {{#each result in landuseResults}} - {{search-result - result=result - tagName="li" - class="results__item" - levelOnly=true - }} - {{/each}} -
-{{/if}} -{{#if locationResults.length}} -

{{t 'search.results_locations'}}

-
    - {{#each result in locationResults}} - {{search-result - result=result - tagName="li" - class="results__item" - metaData=metaData - isLocation="True" - }} - {{/each}} -
-{{/if}} -{{#if productResults.length}} -

{{t 'search.results_products'}}

-
    - {{#each result in productResults}} - {{search-result - result=result - tagName="li" - class="results__item" - }} - {{/each}} -
-{{/if}} -{{#if agproductResults.length}} -

{{t 'search.results_agproducts'}}

-
    - {{#each result in agproductResults}} - {{search-result - result=result - tagName="li" - class="results__item" - levelOnly=true - }} - {{/each}} -
-{{/if}} -{{#if nonagResults.length}} -

{{t 'search.results_nonag'}}

-
    - {{#each result in nonagResults}} - {{search-result - result=result - tagName="li" - class="results__item" - levelOnly=true - }} - {{/each}} -
-{{/if}} -{{#if livestockResults.length}} -

{{t 'search.results_livestock'}}

-
    - {{#each result in livestockResults}} - {{search-result - result=result - tagName="li" - class="results__item" - levelOnly=true - }} - {{/each}} -
-{{/if}} -{{#if industryResults.length}} -

{{t 'search.results_industries'}}

-
    - {{#each result in industryResults}} - {{search-result - result=result - tagName="li" - class="results__item" - }} - {{/each}} -
-{{/if}} - -{{#if modelCategorized }} -
-
- {{#each modelCategorizedKeys as |key|}} - {{#if (is-equal key referenceKey)}} -
{{t (is-concat 'header.' key)}}
- {{else}} -
{{t (is-concat 'header.' key)}}
- {{/if}} - {{/each}} +
+ + {{#if filter}} + +
+ +
+

{{ t 'pageheader.search_placeholder.header' }}

+

{{t placeHolderText}}

+
+ +
+ +
+ +
+

{{t 'search.message.p1' }}

+

{{t 'search.message.p2' }}

+
+ +
+ + + + + + + + + + + +
+ +
+ {{autocomplete-input-datlas data_search=modelData type=filter idSelect='search_select'}} +
+ +
+ +
+
-
    - {{#each sortedReferenceBody as |item|}} - {{#link-to (is-concat item.profileName ".show") item.id tagName="li"}}{{item.name}}{{/link-to}} - {{/each}} -
-
-{{/if}} + {{/if}} + + {{#if query}} -

{{t 'search.didnt_find'}}

+ {{#if filter}} + {{else}} + {{#if landuseResults.length}} +

{{t 'search.results_landuses'}}

+
    + {{#each result in landuseResults}} + {{search-result + result=result + tagName="li" + class="results__item" + levelOnly=true + }} + {{/each}} +
+ {{/if}} + {{#if locationResults.length}} +

{{t 'search.results_locations'}}

+
    + {{#each result in locationResults}} + {{search-result + result=result + tagName="li" + class="results__item" + metaData=metaData + isLocation="True" + }} + {{/each}} +
+ {{/if}} + {{#if productResults.length}} +

{{t 'search.results_products'}}

+
    + {{#each result in productResults}} + {{search-result + result=result + tagName="li" + class="results__item" + }} + {{/each}} +
+ {{/if}} + {{#if agproductResults.length}} +

{{t 'search.results_agproducts'}}

+
    + {{#each result in agproductResults}} + {{search-result + result=result + tagName="li" + class="results__item" + levelOnly=true + }} + {{/each}} +
+ {{/if}} + {{#if nonagResults.length}} +

{{t 'search.results_nonag'}}

+
    + {{#each result in nonagResults}} + {{search-result + result=result + tagName="li" + class="results__item" + levelOnly=true + }} + {{/each}} +
+ {{/if}} + {{#if livestockResults.length}} +

{{t 'search.results_livestock'}}

+
    + {{#each result in livestockResults}} + {{search-result + result=result + tagName="li" + class="results__item" + levelOnly=true + }} + {{/each}} +
+ {{/if}} + {{#if industryResults.length}} +

{{t 'search.results_industries'}}

+
    + {{#each result in industryResults}} + {{search-result + result=result + tagName="li" + class="results__item" + }} + {{/each}} +
+ {{/if}} + {{/if}} + + {{/if}} + +
diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 4fe019b7..309fc033 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -25,90 +25,104 @@ agcensusLastYear=agcensusLastYear occupationLastYear=occupationLastYear }} -
-

{{pageTitle}}

-
-
-
+ +
+
+ +
+

{{pageTitle}}

+
+ +
+

{{ t 'graph_builder.types' }}

+ {{partial "partials/buildermod-drawer-change-graph"}} +
+ +
+
+ + +
+
+ {{#unless hideVisualization }} -
- {{partial "partials/buildermod-drawer-change-graph"}} + +
+

{{builderModHeader}}

+

{{headerValue}}

+

{{years}}

-
-

{{builderModHeader}}: {{headerValue}} ({{years}})

-
-
- {{#unless isGeo }} - {{partial "partials/buildermod-search"}} - {{/unless}} - - {{component visualizationComponent - classNames='buildermod__viz' - immutableData=immutableData - modelData=modelData - data=filteredData - dataType=source - varDependent=varDependent - scale=scale - startDate=startDate - dateExtent=dateExtent - endDate=endDate - metadata=metadata - isFiltered=isFiltered - entityType=entityType - entityId=entityId - variable=variable - search=search - graph=graph - }} - - {{#if needsLegend }} + +
{{#unless isGeo }} - {{component 'visualization-legend' legend=legend }} - {{else}} - {{component 'visualization-legend-geomap' legend=geoLegend }} + {{partial "partials/buildermod-search"}} {{/unless}} - {{/if}} +
-
- {{component 'graphbuilder-settings' - classNames='buildermod__settings' +
+ + {{component visualizationComponent + classNames='buildermod__viz' + immutableData=immutableData + modelData=modelData + data=filteredData + dataType=source + varDependent=varDependent + scale=scale startDate=startDate - endDate=endDate dateExtent=dateExtent - canYearToggle=canYearToggle - isScatter=isScatter - rcaFilter=rcaFilter + endDate=endDate + metadata=metadata + isFiltered=isFiltered + entityType=entityType + entityId=entityId + variable=variable + search=search + graph=graph + elementId=source + }} + + + + {{#if needsLegend }} + {{#unless isGeo }} + {{component 'visualization-legend' legend=legend }} + {{else}} + {{component 'visualization-legend-geomap' legend=geoLegend }} + {{/unless}} + {{/if}} + +
+ + + +
+ {{component 'visualization-explanation' text=visualizationExplanation}} +
+ +
+ + {{ + datlas-table + data=filteredData + source=source + entityType=entityType + search=search + startDate=startDate + endDate=endDate + elementId="sourceTable" }} +
-
+ {{/unless}} - {{component 'visualization-explanation' - text=visualizationExplanation - }} -
- {{component 'table-download' - name=builderModHeader - data=immutableData - source=source - entityType=entityType - pageTitle=pageTitle - }} - {{component 'graphbuilder-table' - data=filteredData - source=source - entityType=entityType - search=search - }} -
- - {{ t 'graph_builder.table.read_more' }} - {{#link-to 'about.glossary' class='link--stream link--stream--inline--tiny table__footer__link--glossary'}} - {{t 'general.glossary'}}. - {{/link-to}} - +
-
+
+ + + +
diff --git a/package.json b/package.json index 459371d5..bd71adbf 100644 --- a/package.json +++ b/package.json @@ -41,6 +41,8 @@ "ember-export-application-global": "^1.0.2", "ember-i18n": "4.1.1", "ember-table": "0.9.2", - "ivy-tabs": "1.2.0" + "ember-truth-helpers": "^2.1.0", + "ivy-tabs": "1.2.0", + "jspdf": "^2.3.1" } } diff --git a/public/assets/img/general/ico_questions.svg b/public/assets/img/general/ico_questions.svg new file mode 100644 index 00000000..e893eb66 --- /dev/null +++ b/public/assets/img/general/ico_questions.svg @@ -0,0 +1,13 @@ + + + + + + + + + + + + + diff --git a/public/assets/img/general/illustracion_2.svg b/public/assets/img/general/illustracion_2.svg new file mode 100644 index 00000000..9fc3168a --- /dev/null +++ b/public/assets/img/general/illustracion_2.svg @@ -0,0 +1,39 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/graphicons/ico_geo.svg b/public/assets/img/graphicons/ico_geo.svg new file mode 100644 index 00000000..65184b02 --- /dev/null +++ b/public/assets/img/graphicons/ico_geo.svg @@ -0,0 +1,14 @@ + + + + + + + + + + + + + + diff --git "a/public/assets/img/graphicons/ico_grafico_de_dispersi\303\263n.svg" "b/public/assets/img/graphicons/ico_grafico_de_dispersi\303\263n.svg" new file mode 100644 index 00000000..6fb256d2 --- /dev/null +++ "b/public/assets/img/graphicons/ico_grafico_de_dispersi\303\263n.svg" @@ -0,0 +1,50 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/graphicons/ico_mapa_colombia.svg b/public/assets/img/graphicons/ico_mapa_colombia.svg new file mode 100644 index 00000000..86b6555f --- /dev/null +++ b/public/assets/img/graphicons/ico_mapa_colombia.svg @@ -0,0 +1,38 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/graphicons/ico_mapa_de_sectores.svg b/public/assets/img/graphicons/ico_mapa_de_sectores.svg new file mode 100644 index 00000000..d9bbfd3b --- /dev/null +++ b/public/assets/img/graphicons/ico_mapa_de_sectores.svg @@ -0,0 +1,12 @@ + + + + + + + + + + + + diff --git a/public/assets/img/graphicons/ico_multiples.svg b/public/assets/img/graphicons/ico_multiples.svg new file mode 100644 index 00000000..170b3f2a --- /dev/null +++ b/public/assets/img/graphicons/ico_multiples.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/public/assets/img/graphicons/ico_questions.svg b/public/assets/img/graphicons/ico_questions.svg new file mode 100644 index 00000000..e893eb66 --- /dev/null +++ b/public/assets/img/graphicons/ico_questions.svg @@ -0,0 +1,13 @@ + + + + + + + + + + + + + diff --git a/public/assets/img/graphicons/ico_treemap.svg b/public/assets/img/graphicons/ico_treemap.svg new file mode 100644 index 00000000..8e340536 --- /dev/null +++ b/public/assets/img/graphicons/ico_treemap.svg @@ -0,0 +1,19 @@ + + + + + + + + + + + + + + + + + + + diff --git a/tests/integration/components/autocomplete-input-datlas-test.js b/tests/integration/components/autocomplete-input-datlas-test.js new file mode 100644 index 00000000..994ed543 --- /dev/null +++ b/tests/integration/components/autocomplete-input-datlas-test.js @@ -0,0 +1,27 @@ +import { moduleForComponent, test } from 'ember-qunit'; +import hbs from 'htmlbars-inline-precompile'; + + +moduleForComponent('autocomplete-input-datlas', 'Integration | Component | autocomplete input datlas', { + integration: true +}); + +test('it renders', function(assert) { + assert.expect(2); + + // Set any properties with this.set('myProperty', 'value'); + // Handle any actions with this.on('myAction', function(val) { ... }); + + this.render(hbs`{{autocomplete-input-datlas}}`); + + assert.equal(this.$().text(), ''); + + // Template block usage: + this.render(hbs` + {{#autocomplete-input-datlas}} + template block text + {{/autocomplete-input-datlas}} + `); + + assert.equal(this.$().text().trim(), 'template block text'); +}); diff --git a/tests/integration/components/datlas-table-test.js b/tests/integration/components/datlas-table-test.js new file mode 100644 index 00000000..7bf6a008 --- /dev/null +++ b/tests/integration/components/datlas-table-test.js @@ -0,0 +1,27 @@ +import { moduleForComponent, test } from 'ember-qunit'; +import hbs from 'htmlbars-inline-precompile'; + + +moduleForComponent('datlas-table', 'Integration | Component | datlas table', { + integration: true +}); + +test('it renders', function(assert) { + assert.expect(2); + + // Set any properties with this.set('myProperty', 'value'); + // Handle any actions with this.on('myAction', function(val) { ... }); + + this.render(hbs`{{datlas-table}}`); + + assert.equal(this.$().text(), ''); + + // Template block usage: + this.render(hbs` + {{#datlas-table}} + template block text + {{/datlas-table}} + `); + + assert.equal(this.$().text().trim(), 'template block text'); +}); diff --git a/tests/integration/components/zoomable-treemap-test.js b/tests/integration/components/zoomable-treemap-test.js new file mode 100644 index 00000000..d404587b --- /dev/null +++ b/tests/integration/components/zoomable-treemap-test.js @@ -0,0 +1,27 @@ +import { moduleForComponent, test } from 'ember-qunit'; +import hbs from 'htmlbars-inline-precompile'; + + +moduleForComponent('zoomable-treemap', 'Integration | Component | zoomable treemap', { + integration: true +}); + +test('it renders', function(assert) { + assert.expect(2); + + // Set any properties with this.set('myProperty', 'value'); + // Handle any actions with this.on('myAction', function(val) { ... }); + + this.render(hbs`{{zoomable-treemap}}`); + + assert.equal(this.$().text(), ''); + + // Template block usage: + this.render(hbs` + {{#zoomable-treemap}} + template block text + {{/zoomable-treemap}} + `); + + assert.equal(this.$().text().trim(), 'template block text'); +}); From 98d31c8eb95789f35702546b91aa861b24118375 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Tue, 27 Jul 2021 15:10:50 -0500 Subject: [PATCH 010/126] Release 0.3 --- app/components/autocomplete-input-datlas.js | 54 +++++- app/components/zoomable-treemap.js | 106 ++++++++++- app/controllers/index.js | 55 +++++- app/controllers/search.js | 95 ++++++++-- app/index.html | 3 + app/locales/en-col/translations.js | 48 ++++- app/locales/en-mex/translations.js | 25 ++- app/locales/en-peru/translations.js | 26 ++- app/locales/es-col/translations.js | 52 +++-- app/locales/es-mex/translations.js | 25 ++- app/locales/es-peru/translations.js | 25 ++- app/routes/index.js | 13 +- app/styles/components/_components/_link.scss | 9 + app/styles/components/_modules/_index.scss | 1 - app/styles/components/_modules/_results.scss | 2 +- app/templates/agproduct/-questions.hbs | 178 ++++++------------ app/templates/components/multiples-graph.hbs | 6 +- app/templates/components/stream-header.hbs | 61 +++++- app/templates/components/zoomable-treemap.hbs | 8 + app/templates/index.hbs | 28 ++- app/templates/industry/show.hbs | 6 +- app/templates/land-use/-questions.hbs | 56 +++--- app/templates/livestock/-questions.hbs | 85 ++++++--- app/templates/nonag/-questions.hbs | 44 ++++- app/templates/search.hbs | 44 ++++- app/templates/visualization.hbs | 44 ++--- bower.json | 2 +- public/assets/img/general/illustracion_1.svg | 31 +++ 28 files changed, 849 insertions(+), 283 deletions(-) create mode 100644 public/assets/img/general/illustracion_1.svg diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js index 8649f3e7..e5bfb3a8 100644 --- a/app/components/autocomplete-input-datlas.js +++ b/app/components/autocomplete-input-datlas.js @@ -10,7 +10,11 @@ export default Ember.Component.extend({ transitionIndustry: 'transitionIndustry', transitionLocationProducts: 'transitionLocationProducts', transitionAgproduct: 'transitionAgproduct', + transitionLivestock: 'transitionLivestock', + transitionNonag: 'transitionNonag', + transitionLanduse: 'transitionLanduse', runSelect: computed('idSelect', 'type', 'data_search', 'placeHolder', 'search', 'i18n', function(){ + let id_select = this.get('idSelect'); var $eventSelect = $(`#${id_select}`); let type = this.get('type'); @@ -32,7 +36,11 @@ export default Ember.Component.extend({ width: 'auto', dropdownAutoWidth : true, data: data, - containerCssClass: "flex-fill" + containerCssClass: "flex-fill", + templateSelection: function (data, container) { + $(data.element).attr('data-key', data.key); + return data.text; + } }); $eventSelect.on("select2:select", function (e) { @@ -50,7 +58,12 @@ export default Ember.Component.extend({ } else if (type === 'location-product') { self.sendAction('transitionLocationProducts', id); } else if (type === 'rural') { - self.sendAction('transitionAgproduct', id); + + var key = $(`#${id_select}`).find(':selected').data("key").replace('-', '') + var action = `transition${key.charAt(0).toUpperCase() + key.slice(1)}` + + self.sendAction(action, id); + } else if (type === 'search') { self.set('search', text); } @@ -65,11 +78,12 @@ export default Ember.Component.extend({ }); }, - update: observer('i18n.display', function() { + update: observer('i18n.display', 'data_search', function() { let id_select = this.get('idSelect'); var $eventSelect = $(`#${id_select}`); var placeholder = this.get("placeHolder") let type = this.get('type'); + var data = this.get('data_search') if(placeholder === null){ placeholder = this.get('i18n').t(`pageheader.search_placeholder.${type}`).string @@ -82,6 +96,40 @@ export default Ember.Component.extend({ language: this.get('i18n').display, width: 'auto', dropdownAutoWidth : true, + data: data, + containerCssClass: "flex-fill", + templateSelection: function (data, container) { + $(data.element).attr('data-key', data.key); + return data.text; + } + }); + + $eventSelect.on("select2:select", function (e) { + + let id = $eventSelect.val(); + let text= $(`#${id_select} option:selected`).text(); + + if(id !== ""){ + if(type === 'location') { + self.sendAction('transitionLocation', id); + } else if (type === 'product') { + self.sendAction('transitionProduct', id); + } else if (type === 'industry') { + self.sendAction('transitionIndustry', id); + } else if (type === 'location-product') { + self.sendAction('transitionLocationProducts', id); + } else if (type === 'rural') { + + var key = $(`#${id_select}`).find(':selected').data("key").replace('-', '') + var action = `transition${key.charAt(0).toUpperCase() + key.slice(1)}` + + self.sendAction(action, id); + + } else if (type === 'search') { + self.set('search', text); + } + } + }); }), diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index 1ffbeea0..4061b120 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -34,6 +34,18 @@ export default Ember.Component.extend({ return d3.nest().entries(updatedData); } }), + getColors: computed('updatedData', 'search', 'color', function () { + + var color = this.get('color') + + if(color === 'pink'){ + return ["#880E4F", "#F06292"] + } + else if(color === 'green'){ + return ["#33691E", "#9CCC65"] + } + return ["#880E4F", "#F06292"] + }), treemap: computed('data.[]', 'id', 'updatedData', 'nestedData', 'varDependent', 'i18n.locale', 'varText', 'search', function () { var elementId = this.get('id'); @@ -47,8 +59,7 @@ export default Ember.Component.extend({ height: 500, value_text: value_text, percent_text: this.get('i18n').t(`graph_builder.table.share`).string, - start_color: "#D81B60", - end_color: "#880E4F", + colors: this.get('getColors'), principal_color: "#292A48" }; var o = {title: "World Population"} @@ -65,7 +76,7 @@ export default Ember.Component.extend({ height = opts.height - margin.top - margin.bottom - theight, transitioning; - var color = d3.scale.linear().domain([0,1]).interpolate(d3.interpolateHcl).range([d3.rgb(defaults.start_color), d3.rgb(defaults.end_color)]); + var color = d3.scale.linear().domain([100, 0]).interpolate(d3.interpolateHcl).range([defaults.colors[0], defaults.colors[1]]); var x = d3.scale.linear() .domain([0, width]) @@ -97,12 +108,15 @@ export default Ember.Component.extend({ grandparent.append("rect") .attr("y", -margin.top) .attr("width", width) - .attr("height", margin.top); + .attr("height", margin.top) + .style("fill", "orange") + .style("stroke", "#292A48") grandparent.append("text") .attr("x", 6) .attr("y", 6 - margin.top) - .attr("dy", ".75em"); + .attr("dy", ".75em") + .style("font-family", "sans-serif"); var Tooltip = d3.select(elementId) .append("div") @@ -222,9 +236,15 @@ export default Ember.Component.extend({ t.append("tspan") .attr("class", "tspan-treemap") + .style("fill", "white") + .style("font-size", "1rem") + .style("font-family", "sans-serif") .text(function(d) { return d.key; }); t.append("tspan") .attr("class", "tspan-treemap") + .style("fill", "white") + .style("font-size", "1rem") + .style("font-family", "sans-serif") .attr("dy", "1.2em") .text(function(d) { return (d.area * 100).toFixed(1) + "%"; @@ -233,8 +253,9 @@ export default Ember.Component.extend({ g.selectAll("rect") .style("fill", function(d) { - return color(d.area); - }); + return color(d.area*100); + }) + .style("stroke", "#292A48") function transition(d) { if (transitioning || !d) return; @@ -339,10 +360,79 @@ export default Ember.Component.extend({ }), didInsertElement: function() { Ember.run.scheduleOnce('afterRender',this , function() { - d3.select(this.get('id')).selectAll('svg').remove(); + + var id = this.get('id') + + d3.select(id).selectAll('svg').remove(); this.get('treemap'); + + + }); }, + actions: { + savePng() { + + var id = this.get('id') + var svgElement = $(`${id} svg`).get(0) + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() + + svgElement.setAttribute("width", svgElement.getBoundingClientRect().width); + svgElement.setAttribute("height", svgElement.getBoundingClientRect().height); + svgElement.style.width = null; + svgElement.style.height= null; + + html2canvas(svgElement, { + onrendered: function(canvas) { + var myImage = canvas.toDataURL("image/png"); + saveAs(myImage, `${file_name}.png`); + } + }); + + }, + savePdf() { + + var id = this.get('id') + var svgElement = $(`${id} svg`).get(0) + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() + + svgElement.setAttribute("width", svgElement.getBoundingClientRect().width); + svgElement.setAttribute("height", svgElement.getBoundingClientRect().height); + svgElement.style.width = null; + svgElement.style.height= null; + + var HTML_Width = svgElement.getBoundingClientRect().width; + var HTML_Height = svgElement.getBoundingClientRect().height; + var top_left_margin = 15; + var PDF_Width = HTML_Width + (top_left_margin * 2); + var PDF_Height = (PDF_Width * 1.5) + (top_left_margin * 2); + var canvas_image_width = HTML_Width; + var canvas_image_height = HTML_Height; + + var totalPDFPages = Math.ceil(HTML_Height / PDF_Height) - 1; + + html2canvas(svgElement, { + onrendered: function(canvas) { + var myImage = canvas.toDataURL("image/jpeg", 1.0); + var pdf = new jsPDF('p', 'pt', [PDF_Width, PDF_Height]); + + pdf.addImage(myImage, 'JPG', top_left_margin, top_left_margin, canvas_image_width, canvas_image_height); + + for (var i = 1; i <= totalPDFPages; i++) { + pdf.addPage(PDF_Width, PDF_Height); + pdf.addImage(imgData, 'JPG', top_left_margin, -(PDF_Height*i)+(top_left_margin*4),canvas_image_width,canvas_image_height); + } + + pdf.save(`${file_name}.pdf`); + + saveAs(pdf, `${file_name}.pdf`); + } + }); + + }, + }, update: observer('i18n.display', 'search', function() { d3.select(this.get('id')).selectAll('svg').remove(); this.get('treemap'); diff --git a/app/controllers/index.js b/app/controllers/index.js index b47f3bc4..1c9a217e 100644 --- a/app/controllers/index.js +++ b/app/controllers/index.js @@ -25,7 +25,7 @@ export default Ember.Controller.extend({ let locale = this.get('i18n').display return locations.map(function(location){ - return {id: location.id, text: location.get(`name_short_${locale}`) } + return {id: location.id, text: location.get(`name_short_${locale}`) + " (" + location.get('code') + ")" } }) }), @@ -56,6 +56,47 @@ export default Ember.Controller.extend({ }) }), + ruralData: computed('model.agproducts', 'i18n.locale', function() { + let agproducts = get(this, 'model.agproducts'); + let nonags = get(this, 'model.nonags'); + let livestock = get(this, 'model.livestock'); + let landuses = get(this, 'model.landuses'); + let locale = this.get('i18n').display + var self = this + + + var agproducts_data = agproducts.map(function(agproduct){ + var key = "agproduct" + var to_concatenate = self.get('i18n').t(`search.rural.${key}`).string + + return {id: agproduct.id, text: agproduct.get(`name_${locale}`) + ' - ' + to_concatenate, key: key } + }) + + var nonags_data = nonags.map(function(nonags){ + var key = "nonag" + var to_concatenate = self.get('i18n').t(`search.rural.${key}`).string + + return {id: nonags.id, text: nonags.get(`name_${locale}`) + ' - ' + to_concatenate, key: key, key: key } + }) + + var livestock_data = livestock.map(function(livestock){ + var key = "livestock" + var to_concatenate = self.get('i18n').t(`search.rural.${key}`).string + + return {id: livestock.id, text: livestock.get(`name_${locale}`) + ' - ' + to_concatenate, key: key, key: key } + }) + + var landuses_data = landuses.map(function(landuses){ + var key = "land-use" + var to_concatenate = self.get('i18n').t(`search.rural.${key}`).string + + return {id: landuses.id, text: landuses.get(`name_${locale}`) + ' - ' + to_concatenate, key: key, key: key } + }) + + return agproducts_data.concat(nonags_data).concat(livestock_data).concat(landuses_data) + + }), + products: computed.filter('model.products', function (product) { let id = get(this, 'productIds'); return _.contains(`${id}`, get(product, 'id')); @@ -118,6 +159,9 @@ export default Ember.Controller.extend({ transitionLocation(id) { this.transitionToRoute('location.show', id); }, + transitionLocationSearch() { + this.transitionToRoute('search', {queryParams: { filter: 'location' }}); + }, transitionProduct(id) { this.transitionToRoute('product.show', id); }, @@ -127,5 +171,14 @@ export default Ember.Controller.extend({ transitionAgproduct(id) { this.transitionToRoute('agproduct.show', id); }, + transitionLivestock(id) { + this.transitionToRoute('livestock.show', id); + }, + transitionNonag(id) { + this.transitionToRoute('nonag.show', id); + }, + transitionLanduse(id) { + this.transitionToRoute('landUse.show', id); + } } }); diff --git a/app/controllers/search.js b/app/controllers/search.js index a9e974cf..391e0925 100644 --- a/app/controllers/search.js +++ b/app/controllers/search.js @@ -9,22 +9,52 @@ export default Ember.Controller.extend({ entity: ['product', 'industry', 'location', 'rural'], query: null, filter: null, - modelData: computed('model', 'i18n.locale', function() { - let model = get(this, 'model'); + modelData: computed('model', 'filter', 'i18n.locale', function() { + let model = get(this, 'modelCategorized'); let locale = this.get('i18n').display + var self = this - return model.map(function(models){ - if(models.get('profileName') === "agproduct"){ - return {id: models.id, text: models.get(`name_${locale}`) } - } - else{ - return {id: models.id, text: models.get(`name_short_${locale}`) + " (" + models.get('code') + ")" } - } - }) + + if(model.hasOwnProperty("agproduct")){ + + return Object.entries(model).map(function(models){ + + var key = models[0] + + return models[1].map(function(models){ + + var to_concatenate = self.get('i18n').t(`search.rural.${key}`).string + + return {id: models.id, text: models.get(`name_${locale}`) + ' - ' + to_concatenate, key: key } + + }) + + }).reduce((accum, item) => accum.concat(item)) + + } + else{ + + + return Object.entries(model).map(function(models){ + + return models[1].map(function(models){ + return {id: models.id, text: models.get(`name_short_${locale}`) + " (" + models.get('code') + ")" } + }) + + })[0] + + } + }), search: computed('query', function() { return this.get('query'); }), + isRural: computed('filter', function(){ + if(this.get('filter') == 'rural'){ + return true + } + return false + }), modelCategorized: computed('filter', 'model', function(){ return _.groupBy(this.get('model'), (x)=>x.constructor.modelName); }), @@ -96,11 +126,41 @@ export default Ember.Controller.extend({ return get(d,'constructor.modelName') === 'industry'; }); }), - placeHolderText: computed('filter', function() { + subTitleText: computed('filter', function() { if(_.contains(this.get('entity'), this.get('filter'))){ - return `pageheader.search_placeholder.${this.get('filter')}`; + return `search.${this.get('filter')}.subtitle`; } - return `pageheader.search_placeholder`; + return `search.subtitle`; + }), + titleText: computed('filter', function() { + if(_.contains(this.get('entity'), this.get('filter'))){ + return `search.${this.get('filter')}.title`; + } + return `search.title`; + }), + bodyText: computed('filter', function() { + if(_.contains(this.get('entity'), this.get('filter'))){ + return `search.${this.get('filter')}.body`; + } + return `search.body`; + }), + modalTitle: computed('filter', function() { + if(_.contains(this.get('entity'), this.get('filter'))){ + return `search.modal.title.${this.get('filter')}`; + } + return `search.modal.title`; + }), + modalContent: computed('filter', function() { + if(_.contains(this.get('entity'), this.get('filter'))){ + return `search.modal.p1.${this.get('filter')}`; + } + return `search.modal.p1`; + }), + modalLink: computed('filter', function() { + if(_.contains(this.get('entity'), this.get('filter'))){ + return `search.modal.link.${this.get('filter')}`; + } + return `search.modal.link`; }), actions:{ toggleReferenceKey(key) { @@ -118,6 +178,15 @@ export default Ember.Controller.extend({ transitionAgproduct(id) { this.transitionToRoute('agproduct.show', id); }, + transitionLivestock(id) { + this.transitionToRoute('livestock.show', id); + }, + transitionNonag(id) { + this.transitionToRoute('nonag.show', id); + }, + transitionLanduse(id) { + this.transitionToRoute('landUse.show', id); + }, } }); diff --git a/app/index.html b/app/index.html index 368c816f..c3ec9d09 100644 --- a/app/index.html +++ b/app/index.html @@ -72,6 +72,9 @@ + + + {{content-for 'body-footer'}} diff --git a/app/locales/en-col/translations.js b/app/locales/en-col/translations.js index 7fd59f68..7b08e4dd 100644 --- a/app/locales/en-col/translations.js +++ b/app/locales/en-col/translations.js @@ -183,17 +183,17 @@ export default { "graph_builder.builder_questions.export": "Questions: Exports", "graph_builder.builder_questions.import": "Questions: Imports", "graph_builder.builder_questions.industry": "Questions: Industries", - "graph_builder.builder_questions.landUse": "Questions: Land Use ", - "graph_builder.builder_questions.land_harvested": "Questions: Land Harvested", - "graph_builder.builder_questions.land_sown": "Questions: Land Sown", - "graph_builder.builder_questions.livestock_num_farms": "Questions: Number of UPAs", - "graph_builder.builder_questions.livestock_num_livestock": "Questions: Number of livestock", + "graph_builder.builder_questions.landUse": "Land Use ", + "graph_builder.builder_questions.land_harvested": "Land Harvested", + "graph_builder.builder_questions.land_sown": "Land Sown", + "graph_builder.builder_questions.livestock_num_farms": "Number of UPAs", + "graph_builder.builder_questions.livestock_num_livestock": "Number of livestock", "graph_builder.builder_questions.location": "Questions: Locations", - "graph_builder.builder_questions.nonag": "Questions: Non-agricultural Activities", + "graph_builder.builder_questions.nonag": "Non-agricultural Activities", "graph_builder.builder_questions.occupation": "Questions: Occupations", "graph_builder.builder_questions.partner": "Questions: Partners", "graph_builder.builder_questions.product": "Questions: Products", - "graph_builder.builder_questions.production_tons": "Questions: Production", + "graph_builder.builder_questions.production_tons": "Production", "graph_builder.builder_questions.rural": "Questions: Rural activities", "graph_builder.builder_questions.wage": "Questions: Total Wages", "graph_builder.change_graph.geo_description": "Map the data", @@ -628,10 +628,10 @@ export default { "pageheader.search_link": "Search", "pageheader.search_placeholder": "Search for a location, industry, product or rural activity", "pageheader.search_placeholder.header": "Make a search by", - "pageheader.search_placeholder.industry": "Industry or by CIIU code", + "pageheader.search_placeholder.industry": "Find by name or by CIIU code", "pageheader.search_placeholder.location": "Search for a location", "pageheader.search_placeholder.product": "Search for a product", - "pageheader.search_placeholder.rural": "Search for rural activities", + "pageheader.search_placeholder.rural": "Search by agricultural product, land use, agricultural activity or livestock species", "rankings.explanation.body": "", "rankings.explanation.title": "Explanation", "rankings.intro.p": "Compare departments and cities across Colombia.", @@ -669,9 +669,37 @@ export default { "search.message.p1": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.", "search.message.p2": "Use the question mark to expand the information.", "search.modal.title": "CIIU Code", - "search.modal.p1": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", "search.placeholder.select2": "Search by Name or CIIU Code", "search.modal.close": "Close", + "search.modal.title.industry": "CIIU Code", + "search.modal.p1.industry": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", + "search.modal.link.industry": "https://clasificaciones.dane.gov.co/ciiu4-0/ciiu4_dispone", + + "search.modal.title.rural": "Search", + "search.modal.p1.rural": "In this option you can search for an agricultural product, land use, non-agricultural activity or livestock species by name.

In case you do not find what you want, at the bottom you can find each of the agricultural activities and select them directly.", + "search.modal.link.rural": "", + + "search.modal.title.location": "DANE Code", + "search.modal.p1.location": "Numerical classification that identifies economic activities. In Colombia, DANE determines these classifications

", + "search.modal.link.location": "https://www.dane.gov.co/files/censo2005/provincias/subregiones.pdf", + + "search.rural.agproduct": "Agricultural Product", + "search.rural.land-use": "Land Use", + "search.rural.nonag": "Non-agricultural Activities", + "search.rural.livestock": "Live Stock", + + "search.industry.title": "Search for", + "search.industry.subtitle": "Sector or by CIIU code", + "search.industry.body": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.

Use the question mark to expand the information.", + + "search.rural.title": "Search for", + "search.rural.subtitle": "Rural activity", + "search.rural.body": "In the next field you can search by agricultural product, land use, agricultural activity or livestock species.

Use the question mark to expand the information.", + + "search.location.title": "Search by place", + "search.location.subtitle": "", + "search.location.body": "In the next field you can search for a place or DANE code.

Use the question mark to expand the information.", + "table.export_data": "Export Data", "thousands_delimiter": ",", "header_nav.search": "Search by" diff --git a/app/locales/en-mex/translations.js b/app/locales/en-mex/translations.js index 6101d223..fe5e1a63 100644 --- a/app/locales/en-mex/translations.js +++ b/app/locales/en-mex/translations.js @@ -451,9 +451,10 @@ export default { "pageheader.search_link": "Search", "pageheader.search_placeholder": "Search for a location, product or industry", "pageheader.search_placeholder.header": "Make a search by", - "pageheader.search_placeholder.industry": "Industry or by CIIU code", + "pageheader.search_placeholder.industry": "Find by name or by CIIU code", "pageheader.search_placeholder.location": "Search for a location", "pageheader.search_placeholder.product": "Search for a product", + "pageheader.search_placeholder.rural": "Search by agricultural product, land use, agricultural activity or livestock species", "rankings.explanation.body": "", "rankings.explanation.title": "Explanation", "rankings.intro.p": "Compare states and cities across Mexico.", @@ -483,9 +484,29 @@ export default { "search.message.p1": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.", "search.message.p2": "Use the question mark to expand the information.", "search.modal.title": "CIIU Code", - "search.modal.p1": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", "search.placeholder.select2": "Search by Name or CIIU Code", "search.modal.close": "Close", + "search.modal.title.industry": "CIIU Code", + "search.modal.p1.industry": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", + "search.modal.link.industry": "https://clasificaciones.dane.gov.co/ciiu4-0/ciiu4_dispone", + + "search.modal.title.rural": "Search", + "search.modal.p1.rural": "In this option you can search for an agricultural product, land use, non-agricultural activity or livestock species by name.

In case you do not find what you want, at the bottom you can find each of the agricultural activities and select them directly.", + "search.modal.link.rural": "", + + "search.rural.agproduct": "Agricultural Product", + "search.rural.land-use": "Land Use", + "search.rural.nonag": "Agricultural Activities", + "search.rural.livestock": "Live Stock", + + "search.industry.title": "Search for", + "search.industry.subtitle": "Sector or by CIIU code", + "search.industry.body": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.

Use the question mark to expand the information.", + + "search.rural.title": "Search for", + "search.rural.subtitle": "Rural activity", + "search.rural.body": "In the next field you can search by agricultural product, land use, agricultural activity or livestock species.

Use the question mark to expand the information.", + "table.export_data": "Export Data", "thousands_delimiter": ",", "header_nav.search": "Search by" diff --git a/app/locales/en-peru/translations.js b/app/locales/en-peru/translations.js index 0ba1107e..17ce5c9f 100644 --- a/app/locales/en-peru/translations.js +++ b/app/locales/en-peru/translations.js @@ -445,9 +445,10 @@ export default { "pageheader.search_link": "Search", "pageheader.search_placeholder": "Search for location or export product", "pageheader.search_placeholder.header": "Make a search by", - "pageheader.search_placeholder.industry": "Industry or by CIIU code", + "pageheader.search_placeholder.industry": "Find by name or by CIIU code", "pageheader.search_placeholder.location": "Search for location", "pageheader.search_placeholder.product": "Search for an export product", + "pageheader.search_placeholder.rural": "Search by agricultural product, land use, agricultural activity or livestock species", "rankings.explanation.body": "", "rankings.explanation.title": "Explanation", "rankings.intro.p": "Compare departments and provinces across Peru.", @@ -477,9 +478,30 @@ export default { "search.message.p1": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.", "search.message.p2": "Use the question mark to expand the information.", "search.modal.title": "CIIU Code", - "search.modal.p1": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", "search.placeholder.select2": "Search by Name or CIIU Code", "search.modal.close": "Close", + + "search.modal.title.industry": "CIIU Code", + "search.modal.p1.industry": "Numerical classification that identifies economic activities. Although it belongs to the United Nations, in Colombia, DANE performs the last 4-digit classification.", + "search.modal.link.industry": "https://clasificaciones.dane.gov.co/ciiu4-0/ciiu4_dispone", + + "search.modal.title.rural": "Search", + "search.modal.p1.rural": "In this option you can search for an agricultural product, land use, non-agricultural activity or livestock species by name.

In case you do not find what you want, at the bottom you can find each of the agricultural activities and select them directly.", + "search.modal.link.rural": "", + + "search.rural.agproduct": "Agricultural Product", + "search.rural.land-use": "Land Use", + "search.rural.nonag": "Agricultural Activities", + "search.rural.livestock": "Live Stock", + + "search.industry.title": "Search for", + "search.industry.subtitle": "Sector or by CIIU code", + "search.industry.body": "In the next field you can fill out your query, you can also carry out this same search by CIIU code.

Use the question mark to expand the information.", + + "search.rural.title": "Search for", + "search.rural.subtitle": "Rural activity", + "search.rural.body": "In the next field you can search by agricultural product, land use, agricultural activity or livestock species.

Use the question mark to expand the information.", + "table.export_data": "Export data", "thousands_delimiter": ",", "header_nav.search": "Search by" diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 541efb83..5d12548e 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -183,17 +183,17 @@ export default { "graph_builder.builder_questions.export": "Preguntas: Exportaciones", "graph_builder.builder_questions.import": "Preguntas: Importaciones", "graph_builder.builder_questions.industry": "Preguntas: Sectores", - "graph_builder.builder_questions.landUse": "Preguntas: Usos del suelo", - "graph_builder.builder_questions.land_harvested": "Preguntas: \u00c1rea cosechada", - "graph_builder.builder_questions.land_sown": "Preguntas: \u00c1rea sembrada", - "graph_builder.builder_questions.livestock_num_farms": "Preguntas: N\u00famero de UPAs", - "graph_builder.builder_questions.livestock_num_livestock": "Preguntas: N\u00famero de cabezas de ganado", + "graph_builder.builder_questions.landUse": "Usos del suelo", + "graph_builder.builder_questions.land_harvested": "\u00c1rea cosechada", + "graph_builder.builder_questions.land_sown": "\u00c1rea sembrada", + "graph_builder.builder_questions.livestock_num_farms": "N\u00famero de UPAs", + "graph_builder.builder_questions.livestock_num_livestock": "N\u00famero de cabezas de ganado", "graph_builder.builder_questions.location": "Preguntas: Lugares", - "graph_builder.builder_questions.nonag": "Preguntas: Actividades no agropecuarias", + "graph_builder.builder_questions.nonag": "Actividades no agropecuarias", "graph_builder.builder_questions.occupation": "Preguntas: Ocupaciones", "graph_builder.builder_questions.partner": "Preguntas: Socios Comerciales", "graph_builder.builder_questions.product": "Preguntas: Productos de Exportaci\u00f3n", - "graph_builder.builder_questions.production_tons": "Preguntas: Producci\u00f3n", + "graph_builder.builder_questions.production_tons": "Producci\u00f3n", "graph_builder.builder_questions.rural": "Preguntas: Actividades Rurales", "graph_builder.builder_questions.wage": "N\u00f3mina Salarial", "graph_builder.change_graph.geo_description": "Mapea los datos", @@ -310,7 +310,7 @@ export default { "graph_builder.page_title.industry.departments.wages": "\u00bfQu\u00e9 departamentos en Colombia tienen las mayores n\u00f3minas salariales en este sector?", "graph_builder.page_title.industry.occupations.num_vacancies": "\u00bfQu\u00e9 ocupaciones demanda este sector?", "graph_builder.page_title.landUse.departments.area": "\u00bfQu\u00e9 departamentos tienen este uso del suelo?", - "graph_builder.page_title.landUse.municipalities.area": "\u00bfQu\u00e9 departamentos tienen este uso del suelo?", + "graph_builder.page_title.landUse.municipalities.area": "\u00bfQu\u00e9 municipios tienen este uso del suelo?", "graph_builder.page_title.livestock.departments.num_farms": "\u00bfCu\u00e1ntas UPAs cr\u00edan esta especie pecuaria en cada departamento?", "graph_builder.page_title.livestock.departments.num_livestock": "\u00bfCu\u00e1ntos animales de esta especie pecuaria se cr\u00edan en cada departamento?", "graph_builder.page_title.livestock.municipalities.num_farms": "\u00bfCu\u00e1ntas UPAs cr\u00edan esta especie pecuaria en cada municipio?", @@ -628,10 +628,10 @@ export default { "pageheader.search_link": "Buscar", "pageheader.search_placeholder": "Busque un lugar, sector, producto o actividad rural", "pageheader.search_placeholder.header": "Realice una busqueda por", - "pageheader.search_placeholder.industry": "Sector o por c\u00f3digo CIIU", + "pageheader.search_placeholder.industry": "Busqueda por Nombre o c\u00f3digo CIIU", "pageheader.search_placeholder.location": "Busque un lugar", "pageheader.search_placeholder.product": "Busque un producto", - "pageheader.search_placeholder.rural": "Busque actividades rurales", + "pageheader.search_placeholder.rural": "Busqueda por producto agricola, uso de suelo, actividad agropecuaria o especie pecuaria", "rankings.explanation.body": "", "rankings.explanation.title": "Explicaci\u00f3n", "rankings.intro.p": "Comparaci\u00f3n entre departamentos o ciudades", @@ -669,9 +669,39 @@ export default { "search.message.p1": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.", "search.message.p2": "Haga uso del interrogante para ampliar la información.", "search.modal.title": "CODIGO CIIU", - "search.modal.p1": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", "search.placeholder.select2": "Busqueda por Nombre o Codigo CIIU", "search.modal.close": "Cerrar", + + "search.modal.title.industry": "Codigo CIIU", + "search.modal.p1.industry": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", + "search.modal.link.industry": "https://clasificaciones.dane.gov.co/ciiu4-0/ciiu4_dispone", + + "search.modal.title.rural": "Búsqueda", + "search.modal.p1.rural": "En esta opción puede buscar con nombre un producto agrícola, uso de suelo, actividad no agropecuaria o especie pecuaria.

En caso de no encontrar lo deseado, en la parte inferior puede encontrar cada una de las actividades agropecuarias y seleccionarlas directamente.", + "search.modal.link.rural": "", + + "search.modal.title.location": "Código DANE", + "search.modal.p1.location": "Clasificación numérica que identifica las actividades económicas. En colombia, el DANE determina estas clasificaciones

", + "search.modal.link.location": "https://www.dane.gov.co/files/censo2005/provincias/subregiones.pdf", + + "search.rural.agproduct": "Producto Agrícola", + "search.rural.land-use": "Uso de Suelo", + "search.rural.nonag": "Actividades no Agropecuarias", + "search.rural.livestock": "Especies Pecuarias", + + "search.industry.title": "Realice una busqueda por", + "search.industry.subtitle": "Sector o por codigo CIIU", + "search.industry.body": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.

Haga uso del interrogante para ampliar la información.", + + "search.rural.title": "Búsqueda por", + "search.rural.subtitle": "Una actividad rural", + "search.rural.body": "En el siguiente campo usted podra realizar una búsqueda por producto agrícola, uso del suelo, actividad agropecuaria o especie pecuaria.

Haga uso del interrogante para ampliar la información.", + + + "search.location.title": "Búsqueda por un lugar", + "search.location.subtitle": "", + "search.location.body": "En el siguiente campo usted podrá realizar una búsqueda por un lugar o código DANE.

Haga uso del interrogante para ampliar la información.", + "table.export_data": "Descargar Datos", "thousands_delimiter": ".", "header_nav.search": "REALICE UNA BUSQUEDA POR" diff --git a/app/locales/es-mex/translations.js b/app/locales/es-mex/translations.js index 2b997ed0..1879db1e 100644 --- a/app/locales/es-mex/translations.js +++ b/app/locales/es-mex/translations.js @@ -451,9 +451,10 @@ export default { "pageheader.search_link": "Buscar", "pageheader.search_placeholder": "Busque el lugar, producto o sector", "pageheader.search_placeholder.header": "Realice una busqueda por", - "pageheader.search_placeholder.industry": "Sector o por c\u00f3digo CIIU", + "pageheader.search_placeholder.industry": "Busqueda por Nombre o c\u00f3digo CIIU", "pageheader.search_placeholder.location": "Busque un lugar", "pageheader.search_placeholder.product": "Busque un producto", + "pageheader.search_placeholder.rural": "Busqueda por producto agricola, uso de suelo, actividad agropecuaria o especie pecuaria", "rankings.explanation.body": "", "rankings.explanation.title": "Explicaci\u00f3n", "rankings.intro.p": "Compare entidades y ciudades mexicanas.", @@ -483,9 +484,29 @@ export default { "search.message.p1": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.", "search.message.p2": "Haga uso del interrogante para ampliar la información.", "search.modal.title": "CODIGO CIIU", - "search.modal.p1": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", "search.placeholder.select2": "Busqueda por Nombre o Codigo CIIU", "search.modal.close": "Cerrar", + "search.modal.title.industry": "Codigo CIIU", + "search.modal.p1.industry": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", + "search.modal.link.industry": "https://clasificaciones.dane.gov.co/ciiu4-0/ciiu4_dispone", + + "search.modal.title.rural": "Búsqueda", + "search.modal.p1.rural": "En esta opción puede buscar con nombre un producto agrícola, uso de suelo, actividad no agropecuaria o especie pecuaria.

En caso de no encontrar lo deseado, en la parte inferior puede encontrar cada una de las actividades agropecuarias y seleccionarlas directamente.", + "search.modal.link.rural": "", + + "search.rural.agproduct": "Producto Agrícola", + "search.rural.land-use": "Uso de Suelo", + "search.rural.nonag": "Actividades Agropecuarias", + "search.rural.livestock": "Especies Pecuarias", + + "search.industry.title": "Realice una busqueda por", + "search.industry.subtitle": "Sector o por codigo CIIU", + "search.industry.body": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.

Haga uso del interrogante para ampliar la información.", + + "search.rural.title": "Búsqueda por", + "search.rural.subtitle": "Una actividad rural", + "search.rural.body": "En el siguiente campo usted podra realizar una búsqueda por producto agrícola, uso del suelo, actividad agropecuaria o especie pecuaria.

Haga uso del interrogante para ampliar la información.", + "table.export_data": "Descargar Datos", "thousands_delimiter": ",", "header_nav.search": "REALICE UNA BUSQUEDA POR" diff --git a/app/locales/es-peru/translations.js b/app/locales/es-peru/translations.js index 4c371a1e..19f3d9a4 100644 --- a/app/locales/es-peru/translations.js +++ b/app/locales/es-peru/translations.js @@ -445,9 +445,10 @@ export default { "pageheader.search_link": "Buscar", "pageheader.search_placeholder": "Busque el lugar o producto de exportaci\u00f3n", "pageheader.search_placeholder.header": "Realice una busqueda por", - "pageheader.search_placeholder.industry": "Sector o por c\u00f3digo CIIU", + "pageheader.search_placeholder.industry": "Busqueda por Nombre o c\u00f3digo CIIU", "pageheader.search_placeholder.location": "Busque un lugar", "pageheader.search_placeholder.product": "Busque un producto de exportaci\u00f3n", + "pageheader.search_placeholder.rural": "Busqueda por producto agricola, uso de suelo, actividad agropecuaria o especie pecuaria", "rankings.explanation.body": "", "rankings.explanation.title": "Explicaci\u00f3n", "rankings.intro.p": "Comparaci\u00f3n entre departamentos y provincias de Per\u00fa.", @@ -477,9 +478,29 @@ export default { "search.message.p1": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.", "search.message.p2": "Haga uso del interrogante para ampliar la información.", "search.modal.title": "CODIGO CIIU", - "search.modal.p1": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", "search.placeholder.select2": "Busqueda por Nombre o Codigo CIIU", "search.modal.close": "Cerrar", + "search.modal.title.industry": "Codigo CIIU", + "search.modal.p1.industry": "Clasificacion numerica que identifica las actividades economicas. Aunque pertenece a las naciones unidas, en Colombia, el DANE realiza la ultima clasificacion a 4 digitos.", + "search.modal.link.industry": "https://clasificaciones.dane.gov.co/ciiu4-0/ciiu4_dispone", + + "search.modal.title.rural": "Búsqueda", + "search.modal.p1.rural": "En esta opción puede buscar con nombre un producto agrícola, uso de suelo, actividad no agropecuaria o especie pecuaria.

En caso de no encontrar lo deseado, en la parte inferior puede encontrar cada una de las actividades agropecuarias y seleccionarlas directamente.", + "search.modal.link.rural": "", + + "search.rural.agproduct": "Producto Agrícola", + "search.rural.land-use": "Uso de Suelo", + "search.rural.nonag": "Actividades Agropecuarias", + "search.rural.livestock": "Especies Pecuarias", + + "search.industry.title": "Realice una busqueda por", + "search.industry.subtitle": "Sector o por codigo CIIU", + "search.industry.body": "En el siguiente campo usted podra diligenciar su consulta, tambien usted podra realizar esta misma busqueda por codigo CIIU.

Haga uso del interrogante para ampliar la información.", + + "search.rural.title": "Búsqueda por", + "search.rural.subtitle": "Una actividad rural", + "search.rural.body": "En el siguiente campo usted podra realizar una búsqueda por producto agrícola, uso del suelo, actividad agropecuaria o especie pecuaria.

Haga uso del interrogante para ampliar la información.", + "table.export_data": "Descargar datos", "thousands_delimiter": ",", "header_nav.search": "REALICE UNA BUSQUEDA POR" diff --git a/app/routes/index.js b/app/routes/index.js index a1d613a0..9200a01f 100644 --- a/app/routes/index.js +++ b/app/routes/index.js @@ -9,17 +9,24 @@ export default Ember.Route.extend({ let hash = { locations: this.store.find('location'), products: this.store.find('product', { level: '4digit' }), - industries: this.store.find('industry', { level: 'division' }), - agproducts: this.store.find('agproduct', { level: 'level3' }) + industries: this.store.find('industry', { level: 'division', level: 'class' }), + agproducts: this.store.find('agproduct', { level: 'level3' }), + nonags: this.store.find('nonag', { level: 'level3' }), + livestock: this.store.find('livestock', { level: 'level1' }), + landuses: this.store.find('land-use', { level: 'level2' }) }; return RSVP.hash(hash).then((hash) => { - let {industries, products, locations, agproducts} = hash; + let {industries, products, locations, agproducts, nonags, livestock, landuses} = hash; + return Object.create({ industries: industries, products: products, locations: locations, agproducts: agproducts, + nonags: nonags, + livestock: livestock, + landuses: landuses }); }); }, diff --git a/app/styles/components/_components/_link.scss b/app/styles/components/_components/_link.scss index a8e76bd5..a012e3b7 100755 --- a/app/styles/components/_components/_link.scss +++ b/app/styles/components/_components/_link.scss @@ -29,4 +29,13 @@ a { .link--inactive { color: $colorGrayLighter; pointer-events: none; +} + +a{ + color: $colorWhite; +} + +a:hover{ + color: $colorYellow; + text-decoration: none; } \ No newline at end of file diff --git a/app/styles/components/_modules/_index.scss b/app/styles/components/_modules/_index.scss index 8fb034e9..2543cc2c 100755 --- a/app/styles/components/_modules/_index.scss +++ b/app/styles/components/_modules/_index.scss @@ -462,7 +462,6 @@ .section__card-cian-sophistication_route{ background: $colorSecondary; - height: 100%; padding: 4rem; } diff --git a/app/styles/components/_modules/_results.scss b/app/styles/components/_modules/_results.scss index 481431e5..2ec9fc6b 100755 --- a/app/styles/components/_modules/_results.scss +++ b/app/styles/components/_modules/_results.scss @@ -104,7 +104,7 @@ .results__reference { margin-top: 10rem; padding-top: 4rem; - border-top: 1px solid $colorGrayLight; + border-top: 1px solid $colorWhite; } .results__reference__menu { diff --git a/app/templates/agproduct/-questions.hbs b/app/templates/agproduct/-questions.hbs index fa1d9ac8..6d91af13 100644 --- a/app/templates/agproduct/-questions.hbs +++ b/app/templates/agproduct/-questions.hbs @@ -1,143 +1,85 @@ -
-

{{t 'graph_builder.builder_questions.land_sown'}}

- {{#if (array-contains openPanels 'land_sown') }} -
    -
  • - {{#link-to 'agproduct.visualization' model.id 'departments' 'treemap' 'land_sown' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'departments' 'multiples' 'land_sown' (query-params startDate=firstYear endDate=lastYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'departments' 'geo' 'land_sown' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_geo builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - +
    + +
    +
    +
    +

    Realice una búsqueda por:

    +
    +
    +
    + +
    +

    {{t 'graph_builder.builder_questions.land_sown'}}

    + +
    + {{#link-to 'agproduct.visualization' model.id 'departments' 'geo' 'land_sown' (query-params startDate=lastYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.agproduct.departments.land_sown'}} {{/link-to}} - -
    -
    • -
  • - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'treemap' 'land_sown' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'land_sown' (query-params startDate=firstYear endDate=lastYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - +
    + +
    + {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'land_sown' (query-params startDate=firstYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.agproduct.municipalities.land_sown'}} {{/link-to}} - +
    +
- - - {{/if}} -

{{t 'graph_builder.builder_questions.land_harvested'}}

- {{#if (array-contains openPanels 'land_harvested') }} -
    -
  • - {{#link-to 'agproduct.visualization' model.id 'departments' 'treemap' 'land_harvested' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'departments' 'multiples' 'land_harvested' (query-params startDate=firstYear endDate=lastYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'departments' 'geo' 'land_harvested' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_geo builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - + +
    +

    {{t 'graph_builder.builder_questions.land_harvested'}}

    + +
    + {{#link-to 'agproduct.visualization' model.id 'departments' 'geo' 'land_harvested' (query-params startDate=lastYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.agproduct.departments.land_harvested'}} {{/link-to}} - -
    -
    • -
  • - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'treemap' 'land_harvested' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'land_harvested' (query-params startDate=firstYear endDate=lastYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'land_harvested' (query-params startDate=firstYear endDate=lastYear search='null') +
    + +
    + + {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'land_harvested' (query-params startDate=firstYear endDate=lastYear search='null') class="builder__questions__question" - }} - {{t 'graph_builder.page_title.agproduct.municipalities.land_harvested'}} - {{/link-to}} - + }} + {{t 'graph_builder.page_title.agproduct.municipalities.land_harvested'}} + {{/link-to}} +
    +
- - - {{/if}} -

{{t 'graph_builder.builder_questions.production_tons'}}

- {{#if (array-contains openPanels 'production') }} -
    -
  • - {{#link-to 'agproduct.visualization' model.id 'departments' 'treemap' 'production_tons' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'departments' 'multiples' 'production_tons' (query-params startDate=firstYear endDate=lastYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'departments' 'geo' 'production_tons' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_geo builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - + +
    +

    {{t 'graph_builder.builder_questions.production_tons'}}

    + +
    + {{#link-to 'agproduct.visualization' model.id 'departments' 'geo' 'production_tons' (query-params startDate=lastYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.agproduct.departments.production_tons'}} {{/link-to}} - -
    -
    • -
  • - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'treemap' 'production_tons' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'production_tons' (query-params startDate=firstYear endDate=lastYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - - {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'production_tons' (query-params startDate=firstYear endDate=lastYear search='null') - class="builder__questions__question" - }} - {{t 'graph_builder.page_title.agproduct.municipalities.production_tons'}} - {{/link-to}} - +
    + +
    + + {{#link-to 'agproduct.visualization' model.id 'municipalities' 'multiples' 'production_tons' (query-params startDate=firstYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.agproduct.municipalities.production_tons'}} + {{/link-to}} +
    +
- - - {{/if}} + + + +
+ + diff --git a/app/templates/components/multiples-graph.hbs b/app/templates/components/multiples-graph.hbs index 438ce6c0..845d7daa 100755 --- a/app/templates/components/multiples-graph.hbs +++ b/app/templates/components/multiples-graph.hbs @@ -1,6 +1,8 @@ -
+
+ +
-
diff --git a/app/templates/components/stream-header.hbs b/app/templates/components/stream-header.hbs index b09b1bda..96a91d83 100755 --- a/app/templates/components/stream-header.hbs +++ b/app/templates/components/stream-header.hbs @@ -60,25 +60,78 @@ {{/if}} {{#if isLandUse}} -

{{model.name}}

+ + + +
+

{{ t 'search.results_rural' }}

+

{{model.name}}

+
+ {{#if isShowingIndex}} {{ partial 'partials/builder-questions-land-use'}} {{/if}} {{/if}} {{#if isAgproduct}} -

{{model.name}}

+ + + +
+

{{ t 'search.rural.agproduct' }}

+

{{model.name}}

+
+ {{#if isShowingIndex}} {{ partial 'partials/builder-questions-agproduct'}} {{/if}} {{/if}} {{#if isNonag}} -

{{model.name}}

+ + + + +
+

{{ t 'search.results_rural' }}

+

{{model.name}}

+
+ {{#if isShowingIndex}} {{ partial 'partials/builder-questions-nonag'}} {{/if}} {{/if}} {{#if isLivestock}} -

{{model.name}}

+ + + +
+

{{ t 'search.results_rural' }}

+

{{model.name}}

+
+ {{#if isShowingIndex}} {{ partial 'partials/builder-questions-livestock'}} {{/if}} diff --git a/app/templates/components/zoomable-treemap.hbs b/app/templates/components/zoomable-treemap.hbs index 889d9eea..4e923c0e 100644 --- a/app/templates/components/zoomable-treemap.hbs +++ b/app/templates/components/zoomable-treemap.hbs @@ -1 +1,9 @@ {{yield}} +
+
+
+ + +
+
+
diff --git a/app/templates/index.hbs b/app/templates/index.hbs index 2e9085d8..ae9998b1 100755 --- a/app/templates/index.hbs +++ b/app/templates/index.hbs @@ -46,9 +46,7 @@
-
- -

{{ t 'index.questions_head_p2' }}

+
{{#if showLocations }}
@@ -84,12 +82,12 @@ {{/if}} {{#if showFarmAndLand }} -
+

{{ t 'index.farmandland_head' }}

- {{autocomplete-input-datlas data_search=agproductsData type='rural' idSelect='agproduct_search'}} + {{autocomplete-input-datlas data_search=ruralData type='rural' idSelect='agproduct_search'}}
{{/if}} @@ -97,13 +95,27 @@
-
-

{{ t 'index.sophistication_route'}}

+ + +
+

{{ t 'search.sophistication_path_place'}}

+

+ Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. +

+ + +
+ + +
+

{{ t 'search.sophistication_path_product'}}

- Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. Sed semper risus ipsum, tempus pretium leo ullamcorper eget. Donec in erat at elit tempor aliquet vitae quis dolor. Quisque mi erat, luctus sed orci eu, aliquet maximus odio. Quisque tempus scelerisque tortor vel volutpat. Nunc volutpat justo non arcu mollis, a suscipit lacus porttitor. Cras euismod, nunc ac lacinia tristique, ipsum odio tempor metus, at lobortis nibh tellus sed lacus. Quisque mollis cursus sem, nec pellentesque dolor faucibus quis. + Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla.

+ +
diff --git a/app/templates/industry/show.hbs b/app/templates/industry/show.hbs index f3d20baf..e3f449e5 100755 --- a/app/templates/industry/show.hbs +++ b/app/templates/industry/show.hbs @@ -37,7 +37,7 @@ {{t 'industry.show.employment_growth' yearRange=yearRange}} {{model.displayEmploymentGrowth}} - + {{vistk-dotplot elementId='dotplot--employment-growth' @@ -54,7 +54,7 @@ {{t 'industry.show.avg_wages' year=lastYear}} {{model.lastAvgWage}} - + {{vistk-dotplot elementId='dotplot--avg-wage' @@ -120,6 +120,7 @@ varDependent='employment' elementId='employment-vistk-treemap' class="position-relative" + color='pink' }}
@@ -141,6 +142,7 @@ varDependent='num_vacancies' elementId='occupation-vistk-treemap' class="position-relative" + color='pink' }}
diff --git a/app/templates/land-use/-questions.hbs b/app/templates/land-use/-questions.hbs index b3cfb15f..4767c672 100644 --- a/app/templates/land-use/-questions.hbs +++ b/app/templates/land-use/-questions.hbs @@ -1,41 +1,39 @@ -
-

{{t 'graph_builder.builder_questions.landUse'}}

- {{#if (array-contains openPanels 'area') }} -
    -
  • - {{#link-to 'landUse.visualization' model.id 'departments' 'treemap' 'area' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'landUse.visualization' model.id 'departments' 'geo' 'area' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_geo builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - +
    + +
    +
    +
    +

    Realice una búsqueda por

    +
    +
    +
    + +
    +

    {{t 'graph_builder.builder_questions.landUse'}}

    + +
    + {{#link-to 'landUse.visualization' model.id 'departments' 'geo' 'area' (query-params startDate=lastYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.landUse.departments.area'}} {{/link-to}} - -
    -
    • -
  • - {{#link-to 'landUse.visualization' model.id 'municipalities' 'treemap' 'area' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - +
    + +
    + {{#link-to 'landUse.visualization' model.id 'municipalities' 'treemap' 'area' (query-params startDate=lastYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.landUse.municipalities.area'}} {{/link-to}} - +
    +
- - - {{/if}} + +
+ + + + diff --git a/app/templates/livestock/-questions.hbs b/app/templates/livestock/-questions.hbs index 1b3acc04..6b564614 100644 --- a/app/templates/livestock/-questions.hbs +++ b/app/templates/livestock/-questions.hbs @@ -1,42 +1,69 @@ -
-

{{t 'graph_builder.builder_questions.livestock_num_farms'}}

- {{#if (array-contains openPanels 'num_farms') }} -
    -
  • - {{#link-to 'livestock.visualization' model.id 'departments' 'treemap' 'num_farms' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} - {{#link-to 'livestock.visualization' model.id 'departments' 'geo' 'num_farms' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_geo builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - +
    + +
    +
    +
    +

    Realice una búsqueda por:

    +
    +
    +
    + +
    +

    {{t 'graph_builder.builder_questions.livestock_num_farms'}}

    + +
    + {{#link-to 'livestock.visualization' model.id 'departments' 'geo' 'num_farms' (query-params startDate=lastYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.livestock.departments.num_farms'}} {{/link-to}} - -
    -
    • -
  • - {{#link-to 'livestock.visualization' model.id 'municipalities' 'treemap' 'num_farms' (query-params startDate=lastYear endDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} {{/link-to}} -
    - +
    + +
    + {{#link-to 'livestock.visualization' model.id 'municipalities' 'treemap' 'num_farms' (query-params startDate=lastYear endDate=lastYear search='null') class="builder__questions__question" }} {{t 'graph_builder.page_title.livestock.municipalities.num_farms'}} {{/link-to}} - +
    +
- - + +
+

{{t 'graph_builder.builder_questions.livestock_num_livestock'}}

+ +
+ + {{#link-to 'livestock.visualization' model.id 'departments' 'geo' 'num_livestock' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.livestock.departments.num_livestock'}} + {{/link-to}} +
+ +
+ + {{#link-to 'livestock.visualization' model.id 'municipalities' 'treemap' 'num_livestock' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.livestock.municipalities.num_livestock'}} + {{/link-to}} +
+ +
+ + + + + + + + diff --git a/app/templates/nonag/-questions.hbs b/app/templates/nonag/-questions.hbs index 47cc90f0..1d158e0d 100644 --- a/app/templates/nonag/-questions.hbs +++ b/app/templates/nonag/-questions.hbs @@ -1,4 +1,44 @@ -
+
+ +
+
+
+

Realice una búsqueda por

+
+
+
+ +
+

{{t 'graph_builder.builder_questions.nonag'}}

+ +
+ + {{#link-to 'nonag.visualization' model.id 'departments' 'geo' 'num_farms' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.nonag.departments.num_farms'}} + {{/link-to}} +
+ +
+ + {{#link-to 'nonag.visualization' model.id 'municipalities' 'treemap' 'num_farms' (query-params startDate=lastYear endDate=lastYear search='null') + class="builder__questions__question" + }} + {{t 'graph_builder.page_title.nonag.municipalities.num_farms'}} + {{/link-to}} +
+ +
+ +
+ + + +
+
+ + diff --git a/app/templates/search.hbs b/app/templates/search.hbs index d1ea8166..7b687771 100755 --- a/app/templates/search.hbs +++ b/app/templates/search.hbs @@ -5,8 +5,8 @@
-

{{ t 'pageheader.search_placeholder.header' }}

-

{{t placeHolderText}}

+

{{ t titleText }}

+

{{t subTitleText}}

@@ -14,8 +14,7 @@
-

{{t 'search.message.p1' }}

-

{{t 'search.message.p2' }}

+

{{t bodyText }}

@@ -38,9 +37,9 @@
- -

{{ t 'search.modal.p1' }}

- https://clasificaciones.dane.gov.co/ciiu4-0/ciiu4_dispone + +

{{ t modalContent }}

+ {{ t modalLink }}
@@ -77,6 +76,7 @@ {{#if query}} {{#if filter}} + {{else}} {{#if landuseResults.length}}

{{t 'search.results_landuses'}}

@@ -173,4 +173,34 @@ {{/if}} + + {{#if isRural }} +
+ +
+ {{#each modelCategorizedKeys as |key|}} +
+ {{#if (is-equal key referenceKey)}} + + {{else}} + + {{/if}} +
+ {{/each}} +
+ +
+ + {{#each sortedReferenceBody as |item|}} +
+ {{#link-to (is-concat item.profileName ".show") item.id tagName="a"}}{{item.name}}{{/link-to}} +
+ {{/each}} + +
+ + +
+ {{/if}} +
diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 309fc033..015a0ee1 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -61,28 +61,28 @@
- {{component visualizationComponent - classNames='buildermod__viz' - immutableData=immutableData - modelData=modelData - data=filteredData - dataType=source - varDependent=varDependent - scale=scale - startDate=startDate - dateExtent=dateExtent - endDate=endDate - metadata=metadata - isFiltered=isFiltered - entityType=entityType - entityId=entityId - variable=variable - search=search - graph=graph - elementId=source - }} - - +
+ {{component visualizationComponent + classNames='buildermod__viz' + immutableData=immutableData + modelData=modelData + data=filteredData + dataType=source + varDependent=varDependent + scale=scale + startDate=startDate + dateExtent=dateExtent + endDate=endDate + metadata=metadata + isFiltered=isFiltered + entityType=entityType + entityId=entityId + variable=variable + search=search + graph=graph + elementId=source + }} +
{{#if needsLegend }} {{#unless isGeo }} diff --git a/bower.json b/bower.json index 1d104749..d484485e 100644 --- a/bower.json +++ b/bower.json @@ -22,7 +22,7 @@ "antiscroll": "*", "jquery-mousewheel": "~3.1.4", "jquery-ui": "~1.11.4", - "vis-toolkit": "https://github.com/cid-harvard/vis-toolkit.git#master" + "vis-toolkit": "https://github.com/Dandresfsoto/vis-toolkit.git#master" }, "devDependencies": { "d3": "~3.5.5", diff --git a/public/assets/img/general/illustracion_1.svg b/public/assets/img/general/illustracion_1.svg new file mode 100644 index 00000000..93401417 --- /dev/null +++ b/public/assets/img/general/illustracion_1.svg @@ -0,0 +1,31 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + From f9dcc324e0a71d29dad26f07fcfe35c7917843b8 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 1 Aug 2021 16:32:49 -0500 Subject: [PATCH 011/126] Release 0.5 --- app/components/autocomplete-input-datlas.js | 6 +- app/components/category-buttons.js | 112 ++++ app/components/datlas-table.js | 35 +- app/components/geo-map.js | 7 +- app/components/graphbuilder-change-graph.js | 9 +- app/components/vistk-network.js | 15 +- app/components/visualization-legend-geomap.js | 62 ++ app/components/zoomable-treemap.js | 33 +- app/controllers/location/show.js | 1 + app/controllers/visualization.js | 70 ++- app/index.html | 3 +- app/locales/en-col/translations.js | 20 +- app/locales/es-col/translations.js | 20 +- app/routes/industry/visualization.js | 7 + .../components/_components/_datatables.scss | 8 + app/styles/components/_components/_table.scss | 15 + .../components/_components/_tooltip.scss | 13 + .../components/_components/_treemap.scss | 6 +- app/styles/components/_modules/_index.scss | 10 + app/styles/components/_variables.scss | 10 +- .../components/_visualizations/_geo.scss | 18 +- .../components/autocomplete-input-datlas.hbs | 2 +- app/templates/components/category-buttons.hbs | 27 + .../components/graphbuilder-change-graph.hbs | 2 +- .../components/graphbuilder-settings.hbs | 2 +- app/templates/components/stream-header.hbs | 23 +- app/templates/components/table-rank.hbs | 4 +- .../visualization-legend-geomap.hbs | 10 +- app/templates/location/-country-dotplots.hbs | 87 ++- app/templates/location/-country-location.hbs | 19 +- .../location/-department-dotplots.hbs | 120 ++-- .../location/-municipality-dotplots.hbs | 123 ++-- app/templates/location/-questions.hbs | 553 ++++++------------ app/templates/location/-regional-location.hbs | 221 ++++++- .../location/-subregion-dotplots.hbs | 52 +- app/templates/partials/-buildermod-search.hbs | 4 +- app/templates/visualization.hbs | 17 +- .../components/category-buttons-test.js | 27 + 38 files changed, 1120 insertions(+), 653 deletions(-) create mode 100644 app/components/category-buttons.js create mode 100644 app/templates/components/category-buttons.hbs create mode 100644 tests/integration/components/category-buttons-test.js diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js index e5bfb3a8..a0d904b1 100644 --- a/app/components/autocomplete-input-datlas.js +++ b/app/components/autocomplete-input-datlas.js @@ -22,6 +22,8 @@ export default Ember.Component.extend({ var data = this.get('data_search') var placeholder = this.get("placeHolder") + + if(placeholder === null){ placeholder = this.get('i18n').t(`pageheader.search_placeholder.${type}`).string } @@ -47,6 +49,7 @@ export default Ember.Component.extend({ let id = $eventSelect.val(); let text= $(`#${id_select} option:selected`).text(); + let type = self.get('type'); if(id !== ""){ if(type === 'location') { @@ -64,7 +67,7 @@ export default Ember.Component.extend({ self.sendAction(action, id); - } else if (type === 'search') { + } else if (type == 'search') { self.set('search', text); } } @@ -108,6 +111,7 @@ export default Ember.Component.extend({ let id = $eventSelect.val(); let text= $(`#${id_select} option:selected`).text(); + let type = self.get('type'); if(id !== ""){ if(type === 'location') { diff --git a/app/components/category-buttons.js b/app/components/category-buttons.js new file mode 100644 index 00000000..35eb4290 --- /dev/null +++ b/app/components/category-buttons.js @@ -0,0 +1,112 @@ +import Ember from 'ember'; +const {computed, observer, get:get, set} = Ember; + + +function getIcon(name){ + + if(name == "Vegetables, foodstuffs and wood"){ + return { + icon: "fas fa-carrot", + color: "#880E4F" + } + } + else if(name == "Minerals"){ + return { + icon: "fas fa-carrot", + color: "#311B92" + } + } + else if(name == "Chemicals and plastics"){ + return { + icon: "fas fa-atom", + color: "#33691E" + } + } + else if(name == "Textiles and furniture"){ + return { + icon: "fas fa-tshirt", + color: "#F57F17" + } + } + else if(name == "Stone and glass"){ + return { + icon: "fas fa-glass-whiskey", + color: "#9C27B0" + } + } + else if(name == "Metals"){ + return { + icon: "fas fa-industry", + color: "#29B6F6" + } + } + else if(name == "Machinery"){ + return { + icon: "fas fa-industry", + color: "#FFEB3B" + } + } + else if(name == "Electronics"){ + return { + icon: "fas fa-industry", + color: "#CE93D8" + } + } + else if(name == "Transport vehicles"){ + return { + icon: "fas fa-industry", + color: "#1E88E5" + } + } + else{ + return { + icon: "fas fa-industry", + color: "#1E88E5" + } + } +} + +export default Ember.Component.extend({ + i18n: Ember.inject.service(), + categoriesObject: computed('data', 'i18n.locale', function() { + + var categories = this.get('data').map(item => { + return { + name: _.get(item, `parent_name_${this.get('i18n').display}`), + icon_color: getIcon(_.get(item, 'parent_name_en')), + hide: false, + isolate: false + } + }).filter((v,i,a)=>a.findIndex(t=>(t.name === v.name))===i) + + return categories + + }), + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender', this, function() { + + $('.category-button').on("mouseover", function(e) { + + $(this).find("div.tooltip").removeClass("d-none") + + }) + + $('.category-button').on("mouseleave", function(e) { + $(this).find("div.tooltip").addClass("d-none"); + }) + + }); + }, + update: observer('i18n.display', function() { + + }), + actions: { + check(index, attr) { + + this.toggleProperty("checked"); + var temp = this.get('categoriesObject').objectAt(index) + Ember.set(temp, attr, !_.get(temp, attr)); + + } + } +}); diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js index 2900f1a8..f302829c 100644 --- a/app/components/datlas-table.js +++ b/app/components/datlas-table.js @@ -203,29 +203,29 @@ export default Ember.Component.extend(TableMap, { }) }), + getUrl: computed('data.[]', 'tableMap', 'i18n.locale', 'source', 'search', 'startDate', function(){ + if(this.get('i18n').display === 'es'){ + return "https://cdn.datatables.net/plug-ins/1.10.16/i18n/Spanish.json" + } + else{ + return "https://cdn.datatables.net/plug-ins/1.10.16/i18n/English.json" + } + }), renderTable: computed('data.[]', 'id', 'updatedData', 'titles', 'tableMap', 'droppedColumns', 'columns', 'i18n.locale', 'source', 'search', 'startDate', function() { var data = this.get('data'); var id_element = this.get('id'); var updatedData = this.get('updatedData'); - console.log(updatedData) - var columns = this.get('updateTitles'); let source = this.get('source'); let self = this; var export_data_text = this.get('i18n').t('table.export_data').string; + var url = this.get("getUrl") - if(this.get('i18n').display === 'es'){ - var url = "https://cdn.datatables.net/plug-ins/1.10.16/i18n/Spanish.json" - } - else{ - var url = "https://cdn.datatables.net/plug-ins/1.10.16/i18n/English.json" - } - var table = $(id_element).DataTable({ dom: 'Bfrtip', lengthChange: false, @@ -247,6 +247,7 @@ export default Ember.Component.extend(TableMap, { }, }); + $(`${id_element} tbody`).on( 'click', 'tr', function () { if(!$(event.target).attr('class')){ @@ -275,15 +276,27 @@ export default Ember.Component.extend(TableMap, { }); }, update: observer('i18n.display', 'search', 'data.[]', function() { - console.log("update") + var id = this.get('id'); var updatedData = this.get('updatedData'); + var columns = this.get('updateTitles'); + var datatable = new $.fn.dataTable.Api( id ); datatable.clear(); + + columns.forEach((item, index) => { + $(datatable.column(index).header()).text(item.title) + }) + datatable.rows.add(updatedData); datatable.draw(); - }) + }), + willDestroyElement: function() { + this.removeObserver('i18n.locale', this, this.update); + this.removeObserver('search', this, this.update); + this.removeObserver('data.[]', this, this.update); + }, }); diff --git a/app/components/geo-map.js b/app/components/geo-map.js index bda5ff91..e61ccfbb 100644 --- a/app/components/geo-map.js +++ b/app/components/geo-map.js @@ -14,7 +14,7 @@ export default Ember.Component.extend({ let map = new L.mapbox.map(this.get('elementId'), 'gwezerek.22ab4aa8,gwezerek.da867b0d', { accessToken: this.accessToken, center: this.get('featureToggle.geo_center'), - zoom: 5, + zoom: 6, maxZoom: 19, minZoom: 5, zoomControl: false, @@ -74,6 +74,9 @@ export default Ember.Component.extend({ } }; }), + getSecondVar: computed(function(){ + return '' + }), addLabelsPane: function() { let map = this.get('baseMap'); L.mapbox.accessToken = this.accessToken; @@ -92,7 +95,7 @@ export default Ember.Component.extend({ .t(`graph_builder.table.${this.get('varDependent')}`); let textValue = _.get(this.get('valueMap').get(location.cid_id), 'value'); this.set('numberFormat', textValue); - var toolTipText = ` ${location.name}
${textKey} : ${this.get('numberFormat')}`; + var toolTipText = `
${location.name}
${textKey} : ${this.get('numberFormat')} ${this.get('getSecondVar')}
`; marker.bindPopup(toolTipText, {closeButton: false}); marker.on('mouseover', function () { diff --git a/app/components/graphbuilder-change-graph.js b/app/components/graphbuilder-change-graph.js index 41c6d49d..08d9ea0a 100644 --- a/app/components/graphbuilder-change-graph.js +++ b/app/components/graphbuilder-change-graph.js @@ -16,6 +16,13 @@ export default Ember.Component.extend({ }), click: function() { this.sendAction('toggleVisualization', get(this, 'type')); - } + }, + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender',this , function() { + tippy('.tooltip_graph', { + theme: 'datlas', + }); + }); + }, }); diff --git a/app/components/vistk-network.js b/app/components/vistk-network.js index 5d78c41b..10242696 100644 --- a/app/components/vistk-network.js +++ b/app/components/vistk-network.js @@ -7,7 +7,7 @@ export default Ember.Component.extend({ i18n: Ember.inject.service(), tagName: 'div', height: 500, - classNames: ['buildermod__viz--white','buildermod__viz'], + classNames: ['buildermod__viz'], attributeBindings: ['width','height'], varIndependent: ['group', 'code'], id: computed('elementId', function() { @@ -159,6 +159,19 @@ export default Ember.Component.extend({ Ember.run.scheduleOnce('afterRender', this , function() { if(!this.get('width')){ this.set('width', this.$().parent().width()); } d3.select(this.get('id')).call(this.get('network')); + + if(this.get('showMiddle')){ + var svg = d3.select(this.get('id')).select('svg') + var line = svg.append("g").append("line") + + line.attr("x1", parseInt(svg.style("width"), 10)/2) + line.attr("y1", 0) + line.attr("x2", parseInt(svg.style("width"), 10)/2) + line.attr("y2", parseInt(svg.style("height"), 10)) + line.attr("stroke-dasharray", "15") + line.attr("stroke", "#FFCD00") + } + }); }, willDestroyElement: function() { diff --git a/app/components/visualization-legend-geomap.js b/app/components/visualization-legend-geomap.js index 926b6130..ac97cb6e 100644 --- a/app/components/visualization-legend-geomap.js +++ b/app/components/visualization-legend-geomap.js @@ -1,4 +1,66 @@ import Ember from 'ember'; export default Ember.Component.extend({ + actions: { + savePng() { + + var svgElement = $(`.leaflet-zoom-animated`).get(0) + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() + + svgElement.setAttribute("width", svgElement.getBoundingClientRect().width); + svgElement.setAttribute("height", svgElement.getBoundingClientRect().height); + svgElement.style.width = null; + svgElement.style.height= null; + + html2canvas($(`.visualizationComponent_div`).get(0), { + allowTaint: true, + onrendered: function(canvas) { + var myImage = canvas.toDataURL("image/png"); + saveAs(myImage, `${file_name}.png`); + } + }); + + }, + savePdf() { + + var svgElement = $(`.leaflet-zoom-animated`).get(0) + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() + + svgElement.setAttribute("width", svgElement.getBoundingClientRect().width); + svgElement.setAttribute("height", svgElement.getBoundingClientRect().height); + svgElement.style.width = null; + svgElement.style.height= null; + + var HTML_Width = svgElement.getBoundingClientRect().width; + var HTML_Height = svgElement.getBoundingClientRect().height; + var top_left_margin = 15; + var PDF_Width = HTML_Width + (top_left_margin * 2); + var PDF_Height = (PDF_Width * 1.5) + (top_left_margin * 2); + var canvas_image_width = HTML_Width; + var canvas_image_height = HTML_Height; + + var totalPDFPages = Math.ceil(HTML_Height / PDF_Height) - 1; + + html2canvas($(`.visualizationComponent_div`).get(0), { + onrendered: function(canvas) { + var myImage = canvas.toDataURL("image/jpeg", 1.0); + var pdf = new jsPDF('p', 'pt', [PDF_Width, PDF_Height]); + + pdf.addImage(myImage, 'JPG', top_left_margin, top_left_margin, canvas_image_width, canvas_image_height); + + for (var i = 1; i <= totalPDFPages; i++) { + pdf.addPage(PDF_Width, PDF_Height); + pdf.addImage(imgData, 'JPG', top_left_margin, -(PDF_Height*i)+(top_left_margin*4),canvas_image_width,canvas_image_height); + } + + pdf.save(`${file_name}.pdf`); + + saveAs(pdf, `${file_name}.pdf`); + } + }); + + }, + } }); diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index 4061b120..3afb2782 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -27,12 +27,21 @@ export default Ember.Component.extend({ }), nestedData: computed('updatedData', 'search', function () { var updatedData = this.get('updatedData'); - if(updatedData[0].hasOwnProperty("group")){ - return d3.nest().key(function(d) { return d.group; }).entries(updatedData); - } - else{ - return d3.nest().entries(updatedData); + + if(updatedData[0] !== undefined){ + if(updatedData[0].hasOwnProperty("group")){ + + if(updatedData[0].group == undefined){ + return d3.nest().entries(updatedData); + } + + return d3.nest().key(function(d) { return d.group; }).entries(updatedData); + } + else{ + return d3.nest().entries(updatedData); + } } + }), getColors: computed('updatedData', 'search', 'color', function () { @@ -226,6 +235,11 @@ export default Ember.Component.extend({ .attr("class", "child") .call(rect) + children.append("text") + .attr("class", "ctext") + .text(function(d) { return d.key; }) + .call(text2); + g.append("rect") .attr("class", "parent") .call(rect); @@ -323,7 +337,7 @@ export default Ember.Component.extend({ } function text2(text) { - text.attr("x", function(d) { return x(d.x + d.dx) - this.getComputedTextLength() - 6; }) + text.attr("x", function(d) { return x(d.x) + 6; }) .attr("y", function(d) { return y(d.y + d.dy) - 6; }) .style("opacity", function(d) { @@ -341,7 +355,10 @@ export default Ember.Component.extend({ return 0 } - }); + }) + .style("fill", "white") + //.style("font-size", "1rem") + .style("font-family", "sans-serif"); } function rect(rect) { @@ -433,7 +450,7 @@ export default Ember.Component.extend({ }, }, - update: observer('i18n.display', 'search', function() { + update: observer('i18n.display', 'updatedData', function() { d3.select(this.get('id')).selectAll('svg').remove(); this.get('treemap'); }) diff --git a/app/controllers/location/show.js b/app/controllers/location/show.js index 95176f11..fda2e837 100644 --- a/app/controllers/location/show.js +++ b/app/controllers/location/show.js @@ -22,6 +22,7 @@ export default Ember.Controller.extend({ dotplotData: computed.oneWay('model.dotplotData'), occupationData: computed.oneWay('model.occupations'), productsData: computed.oneWay('model.productsData'), + inmutableProductsData: computed.oneWay('model.productsData'), industriesData: computed.oneWay('model.industriesData'), hasTimeseries: computed.notEmpty('model.timeseries'), diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index 004e5f2b..afddb3b9 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -21,7 +21,48 @@ export default Ember.Controller.extend({ var locations = Object.entries(this.get('model.metaData.locations')) return locations.filter(item => item[1].level === "department").map((item) => { - return {id:item[1].id, text:item[1].name_short_es} + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + citiesData: computed('model', function(){ + + var cities = Object.entries(this.get('model.metaData.locations')) + + return cities.filter(item => item[1].level === "msa" || item[1].level === "department").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + municipalitiesData: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.locations')) + + return locations.filter(item => item[1].level === "municipality" || item[1].level === "department").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + productsData: computed('model', function(){ + + console.log(this.get("model")) + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} }) }), @@ -97,6 +138,29 @@ export default Ember.Controller.extend({ isGeo: computed.equal('visualization','geo'), isScatter: computed.equal('visualization','scatter'), + filterData: computed('source', function(){ + + if(this.get('source') == 'departments'){ + return this.get('locationsData') + } + else if(this.get('source') == 'cities'){ + return this.get('citiesData') + } + else if(this.get('source') == 'municipalities'){ + return this.get('municipalitiesData') + } + else if(this.get('source') == 'products'){ + return this.get('productsData') + } + else{ + return [] + } + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + isFixedHeight: computed('model.visualization', function() { let vis = this.get('model.visualization'); return _.contains(['geo', 'treemap', 'scatter', 'similarity'], vis) ? true : false; @@ -422,13 +486,17 @@ export default Ember.Controller.extend({ if(entityType === 'industry') { return 'assets/img/hero_images/industry/industry_1.jpg'; } }), searchFilter: function(data) { + let search = _.deburr(this.get('search')); + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) .replace(/\s+/g, ''), "gi"); + return _.filter(data, (d) => { let longName = get(d,`name_${this.get('i18n').display}`); let shortName = get(d,`name_short_${this.get('i18n').display}`); let code = get(d, 'code'); + return _.deburr(`${shortName} ${longName} ${code}`).match(regexp); }); }, diff --git a/app/index.html b/app/index.html index c3ec9d09..03d13dc7 100644 --- a/app/index.html +++ b/app/index.html @@ -52,7 +52,8 @@ - + + diff --git a/app/locales/en-col/translations.js b/app/locales/en-col/translations.js index 7b08e4dd..f9ed4f2b 100644 --- a/app/locales/en-col/translations.js +++ b/app/locales/en-col/translations.js @@ -257,7 +257,7 @@ export default { "graph_builder.explanation.agproduct.municipalities.land_sown": "Shows the composition of locations that sow this agricultural product, by area of land sown. Source: Agronet (2017), Ministerio de Agricultura. Link", "graph_builder.explanation.agproduct.municipalities.production_tons": "Shows the composition of locations that produce this agricultural product, by tons produced. Source: Agronet (2017), Ministerio de Agricultura. Link", "graph_builder.explanation.hide": "Hide", - "graph_builder.explanation.industry.cities.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", + "graph_builder.explanation.industry.cities.employment": "Shows the composition by city of formal employment in the industry. Source: PILA.", "graph_builder.explanation.industry.cities.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", "graph_builder.explanation.industry.departments.employment": "Shows the composition by department of formal employment in the industry. Source: PILA.", "graph_builder.explanation.industry.departments.wages": "Shows the composition by department of total wages paid by the industry. Source: PILA.", @@ -702,5 +702,21 @@ export default { "table.export_data": "Export Data", "thousands_delimiter": ",", - "header_nav.search": "Search by" + "header_nav.search": "Search by", + + "visualization.geo": "Map the data", + "visualization.treemap": "See composition at different levels", + "visualization.multiples": "Compare growth over time", + + "visualization.clear": "Clear", + + "visualization.source.departments": "Insert the department name or CIIU code", + "visualization.source.cities": "Find by department, city or CIIU code", + "visualization.source.municipalities": "Find by department, municipaly or CIIU code", + "visualization.source.products": "Find by prodcut name or tariff heading", + + "visualization.search.departments": "Search by departament or DANE code", + "visualization.search.cities": "Find by department, city or DANE code", + "visualization.search.municipalities": "Find by department, municipaly or DANE code", + "visualization.search.products": "Find by prodcut name or tariff heading", }; diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 5d12548e..bb6fd3ec 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -257,7 +257,7 @@ export default { "graph_builder.explanation.agproduct.municipalities.land_sown": "Muestra la composici\u00f3n de lugares que siembran este producto agropecuario, por \u00e1rea sembrada. Fuente: Agronet (2017), Ministerio de Agricultura. Link", "graph_builder.explanation.agproduct.municipalities.production_tons": "Muestra la composici\u00f3n de lugares que producen este producto agropecuario, por toneladas producidas. Fuente: Agronet (2017), Ministerio de Agricultura. Link", "graph_builder.explanation.hide": "Oculte", - "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", + "graph_builder.explanation.industry.cities.employment": "Muestra la composici\u00f3n por ciudades del empleo formal del sector. Fuente: PILA.", "graph_builder.explanation.industry.cities.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", "graph_builder.explanation.industry.departments.employment": "Muestra la composici\u00f3n por departamentos del empleo formal del sector. Fuente: PILA.", "graph_builder.explanation.industry.departments.wages": "Muestra la composici\u00f3n por departamentos de la n\u00f3mina salarial del sector. Fuente: PILA.", @@ -704,5 +704,21 @@ export default { "table.export_data": "Descargar Datos", "thousands_delimiter": ".", - "header_nav.search": "REALICE UNA BUSQUEDA POR" + "header_nav.search": "REALICE UNA BUSQUEDA POR", + + "visualization.geo": "Mapea los datos", + "visualization.treemap": "Muestra la descomposici\u00f3n en varios niveles", + "visualization.multiples": "Muestra la evolución en varios períodos", + + "visualization.clear": "Borrar", + + "visualization.source.departments": "Ingrese el nombre del departamento o código CIIU", + "visualization.source.cities": "Búsqueda por departamento, ciudad o código CIIU", + "visualization.source.municipalities": "Búsque por departamento, municipio o código CIIU", + "visualization.source.products": "Búsque por nombre de producto o partida arancelaría", + + "visualization.search.departments": "Búsque por departamento o código DANE", + "visualization.search.cities": "Búsque por departamento, ciudad o código DANE", + "visualization.search.municipalities": "Búsque por departamento, municipio o código DANE", + "visualization.search.products": "Búsque por nombre de producto o partida arancelaría", }; diff --git a/app/routes/industry/visualization.js b/app/routes/industry/visualization.js index 63f77e27..037060e4 100644 --- a/app/routes/industry/visualization.js +++ b/app/routes/industry/visualization.js @@ -26,6 +26,7 @@ export default Ember.Route.extend({ set(this, 'visualization_type', visualization_type); set(this, 'variable', variable); + return RSVP.hash(this.get(source_type)).then((hash) => { if(source_type === 'departments') { return this.departmentDataMunging(hash); @@ -66,10 +67,15 @@ export default Ember.Route.extend({ cities: $.getJSON(`${apiURL}/data/industry/${id}/participants/?level=msa`) }; }), + departmentDataMunging(hash) { let {model, departments} = hash; let locationsMetadata = this.modelFor('application').locations; + var cities = RSVP.hash(this.get("cities")).then((hash) => { + return this.citiesDataMunging(hash); + }) + let data = _.map(departments.data, (d) => { let industry = locationsMetadata[d.department_id]; d.avg_wage = d.wages/d.employment; @@ -86,6 +92,7 @@ export default Ember.Route.extend({ return Ember.Object.create({ entity: model, data: data, + cities: cities }); }, occupationsDataMunging(hash) { diff --git a/app/styles/components/_components/_datatables.scss b/app/styles/components/_components/_datatables.scss index 0ce52bc9..23d306eb 100644 --- a/app/styles/components/_components/_datatables.scss +++ b/app/styles/components/_components/_datatables.scss @@ -61,3 +61,11 @@ table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control:before, table.dataT .form-control-sm{ font-size: 1.8rem; } + +.dt-bootstrap4{ + text-align: right; +} + +.dt-buttons{ + margin-bottom: 3rem !important; +} diff --git a/app/styles/components/_components/_table.scss b/app/styles/components/_components/_table.scss index b587b6a8..a31c0078 100755 --- a/app/styles/components/_components/_table.scss +++ b/app/styles/components/_components/_table.scss @@ -76,3 +76,18 @@ .select2-container{ flex: 1 1 auto !important; } + +.table_cell_rank{ + padding: 3px 8px; + border-radius: 1px; + background-color: $colorThree; +} + + +.table_cell_rank.value.top{ + background-color: $colorRed; +} + +.table_cell_rank.value.top:hover{ + background-color: $colorRedDark; +} diff --git a/app/styles/components/_components/_tooltip.scss b/app/styles/components/_components/_tooltip.scss index 78bbdbdc..9a3ecd7c 100755 --- a/app/styles/components/_components/_tooltip.scss +++ b/app/styles/components/_components/_tooltip.scss @@ -38,3 +38,16 @@ margin-left: -10px; } } + +.tooltip-category{ + position: absolute; + top: 5px; + left: 50%; + background: $colorSecondary; + height: auto; + max-width: none; +} + +.tooltip-category:after{ + border-top-color: $colorSecondary; +} diff --git a/app/styles/components/_components/_treemap.scss b/app/styles/components/_components/_treemap.scss index e4fe4e95..1342b989 100644 --- a/app/styles/components/_components/_treemap.scss +++ b/app/styles/components/_components/_treemap.scss @@ -48,7 +48,7 @@ rect.parent { .children rect.parent { fill: #bbb; - fill-opacity: 1; + fill-opacity: 0.5; } .children:hover rect.child { @@ -76,4 +76,8 @@ rect{ .depth rect, .grandparent rect { stroke: $colorBase; +} + +text.ctext{ + font-size: 1rem; } \ No newline at end of file diff --git a/app/styles/components/_modules/_index.scss b/app/styles/components/_modules/_index.scss index 2543cc2c..a5008cd8 100755 --- a/app/styles/components/_modules/_index.scss +++ b/app/styles/components/_modules/_index.scss @@ -505,3 +505,13 @@ .btn-large{ font-size: 3rem; } + +.tippy-box[data-theme~='datlas'] { + background-color: $colorSecondary; + color: $colorBase; + font-size: 2rem; +} + +.tippy-arrow{ + color: $colorSecondary; +} diff --git a/app/styles/components/_variables.scss b/app/styles/components/_variables.scss index 8e058d53..67c3c716 100755 --- a/app/styles/components/_variables.scss +++ b/app/styles/components/_variables.scss @@ -77,11 +77,11 @@ $colorRedQ3-5: rgb(222,45,38); $colorRedQ4-5: rgb(165,15,21); //Map Green Scale -$colorGreenQ0-5: rgb(237,248,233); -$colorGreenQ1-5: rgb(186,228,179); -$colorGreenQ2-5: rgb(116,196,118); -$colorGreenQ3-5: rgb(49,163,84); -$colorGreenQ4-5: rgb(0,109,44); +$colorGreenQ0-5: rgb(255,224,178); +$colorGreenQ1-5: rgb(255,183,77); +$colorGreenQ2-5: rgb(255,152,0); +$colorGreenQ3-5: rgb(245,124,0); +$colorGreenQ4-5: rgb(230,81,0); $colorNavy200: rgb( 204, 204, 214 ); $colorNavy400: rgb( 154, 153, 172 ); diff --git a/app/styles/components/_visualizations/_geo.scss b/app/styles/components/_visualizations/_geo.scss index f3cd7943..292508a4 100755 --- a/app/styles/components/_visualizations/_geo.scss +++ b/app/styles/components/_visualizations/_geo.scss @@ -6,15 +6,16 @@ // Nested here instead of giving ever el a class in the js .geo__wrap { - height: $minBuildermodHeight; + height: 80rem; padding: 0; - border: 1px solid $colorGrayLight; + background: $colorBase; svg { position: relative; } .leaflet-control-attribution { + display: none; padding: 5px 7px; background: $colorWhite; color: $colorGrayLighter; @@ -27,14 +28,14 @@ } .geo__department { - fill: #000; - stroke: $colorGrayLight; - stroke-width: 2px; + fill: $colorWhite; + stroke: $colorWhite; + stroke-width: 1px; } // If the value of the data is exactly 0 .q0 { - fill: $colorWhite; + fill: $colorSecondary; } // The scale if the value is positive @@ -94,7 +95,6 @@ } .leaflet-left .leaflet-control { - box-shadow: -1px 2px 2px $colorGrayLighter; margin: 0 0 $baseSpace*1.5 $baseSpace*1.5; } @@ -107,3 +107,7 @@ font-weight: 300; color: $colorGrayLight; } + +.geo_background{ + background: $colorBase; +} diff --git a/app/templates/components/autocomplete-input-datlas.hbs b/app/templates/components/autocomplete-input-datlas.hbs index 9c0d94bd..8e2a9155 100644 --- a/app/templates/components/autocomplete-input-datlas.hbs +++ b/app/templates/components/autocomplete-input-datlas.hbs @@ -4,7 +4,7 @@
{{#if reset }} - + {{/if}}
diff --git a/app/templates/components/category-buttons.hbs b/app/templates/components/category-buttons.hbs new file mode 100644 index 00000000..24979f32 --- /dev/null +++ b/app/templates/components/category-buttons.hbs @@ -0,0 +1,27 @@ +
+ {{#each category in categoriesObject}} + +
+
+

{{category.name}}

+

{{_view.contentIndex}}

+ +
+ + +
+
+ + +
+ +
+ + + + +
+ + + {{/each}} +
diff --git a/app/templates/components/graphbuilder-change-graph.hbs b/app/templates/components/graphbuilder-change-graph.hbs index 065fe11c..d35f3ad1 100755 --- a/app/templates/components/graphbuilder-change-graph.hbs +++ b/app/templates/components/graphbuilder-change-graph.hbs @@ -1,3 +1,3 @@ -
+
diff --git a/app/templates/components/graphbuilder-settings.hbs b/app/templates/components/graphbuilder-settings.hbs index cd61eeb9..67893424 100755 --- a/app/templates/components/graphbuilder-settings.hbs +++ b/app/templates/components/graphbuilder-settings.hbs @@ -7,7 +7,7 @@
-
+
diff --git a/app/templates/components/stream-header.hbs b/app/templates/components/stream-header.hbs index 96a91d83..fbb450c7 100755 --- a/app/templates/components/stream-header.hbs +++ b/app/templates/components/stream-header.hbs @@ -1,13 +1,15 @@
{{#if isLocation}} -
    - {{#each crumb in breadcrumbs}} - {{#link-to 'location.show' crumb.id tagName='li' class='breadcrumb'}} - {{crumb.name_es}} - {{/link-to}} - {{/each}} -
+ + + {{/if}} {{#if isIndustry}} @@ -24,7 +26,12 @@
{{/if}} {{#if isLocation}} -

{{model.name}}

+ +
+

{{ t 'general.locations' }}

+

{{model.name}} ({{model.code}})

+
+ {{#if isShowingIndex}} {{ partial 'partials/builder-questions-location'}} {{/if}} diff --git a/app/templates/components/table-rank.hbs b/app/templates/components/table-rank.hbs index 52d89828..4faad7f7 100755 --- a/app/templates/components/table-rank.hbs +++ b/app/templates/components/table-rank.hbs @@ -1,11 +1,11 @@ -
+
{{#link-to 'rankings'}} {{#if isEmpty}}
N/A
{{else}} -
+
#{{rank}}
{{/if}} diff --git a/app/templates/components/visualization-legend-geomap.hbs b/app/templates/components/visualization-legend-geomap.hbs index d026a122..4f4eeb4e 100644 --- a/app/templates/components/visualization-legend-geomap.hbs +++ b/app/templates/components/visualization-legend-geomap.hbs @@ -1,8 +1,14 @@ -
+
{{#each key in legend}} -
+
{{key.start}} - {{key.end}}
{{else}} {{/each}} +
+
+ + +
+
diff --git a/app/templates/location/-country-dotplots.hbs b/app/templates/location/-country-dotplots.hbs index b9835242..22db3239 100755 --- a/app/templates/location/-country-dotplots.hbs +++ b/app/templates/location/-country-dotplots.hbs @@ -1,26 +1,21 @@ - +
+ + + - - - - + + + + - + - - - + + + - - - + + + - - - + + + - - - + + + - - - + + + - - - + + +
- {{t 'country.show.total'}} - - {{t 'country.show.dotplot-column'}} -
{{t 'country.show.total'}}{{t 'country.show.dotplot-column'}}
- {{t 'location.show.gdp_pc'}} ({{model.censusYear}}) - - {{t 'country.show.gdp_per_capita'}} - + {{t 'location.show.gdp_pc'}} ({{model.censusYear}}){{t 'country.show.gdp_per_capita'}} {{vistk-dotplot - elementId='dotplot--gdp-pc' + elementId='dotplot-gdp-pc' data=dotplotData varX='gdp_pc_real' varText='name' @@ -29,14 +24,11 @@ }}
- {{t 'location.show.gdp'}} ({{model.censusYear}}) - - {{t 'country.show.gdp'}} - + {{t 'location.show.gdp'}} ({{model.censusYear}}){{t 'country.show.gdp'}} {{vistk-dotplot elementId='dotplot--gdp' data=dotplotData @@ -46,14 +38,11 @@ }}
- {{t 'location.show.population'}} ({{model.censusYear}}) - - {{t 'country.show.population'}} - + {{t 'location.show.population'}} ({{model.censusYear}}){{t 'country.show.population'}} {{vistk-dotplot elementId='dotplot--population' data=dotplotData @@ -65,14 +54,11 @@ }}
- {{t 'location.show.eci'}} ({{model.lastYear}}) - - {{t 'country.show.eci'}} - + {{t 'location.show.eci'}} ({{model.lastYear}}){{t 'country.show.eci'}} {{vistk-dotplot elementId='dotplot--eci' data=dotplotData @@ -84,14 +70,11 @@ }}
- {{t 'location.show.ag_farmsize'}} - - {{t 'country.show.ag_farmsize'}} - + {{t 'location.show.ag_farmsize'}}{{t 'country.show.ag_farmsize'}} {{vistk-dotplot elementId='dotplot--agfarmsizes' data=model.agFarmsizesData @@ -101,14 +84,11 @@ }}
- {{t 'location.show.nonag_farmsize'}} - - {{t 'country.show.nonag_farmsize'}} - + {{t 'location.show.nonag_farmsize'}}{{t 'country.show.nonag_farmsize'}} {{vistk-dotplot elementId='dotplot--nonagfarmsizes' data=model.nonagFarmsizesData @@ -118,6 +98,7 @@ }}
diff --git a/app/templates/location/-country-location.hbs b/app/templates/location/-country-location.hbs index 8922cf8a..1b82af73 100755 --- a/app/templates/location/-country-location.hbs +++ b/app/templates/location/-country-location.hbs @@ -11,7 +11,19 @@ agcensusFirstYear=agcensusFirstYear agcensusLastYear=agcensusLastYear }} -
+ + +
+
+
+ {{partial 'location/country-dotplots'}} +
+
+
+ + + + + + {{#if hasIndustriesData }} diff --git a/app/templates/location/-department-dotplots.hbs b/app/templates/location/-department-dotplots.hbs index 9567c4bf..c151e185 100755 --- a/app/templates/location/-department-dotplots.hbs +++ b/app/templates/location/-department-dotplots.hbs @@ -1,48 +1,29 @@ -
-
-

{{t 'location.show.overview'}}

-
-
    - {{#if model.gdpGrowth }} -
  • - {{t 'location.show.bullet.gdp_grow_rate' gdpGrowth=model.gdpGrowth yearRange=model.yearRange}} -
    • - {{/if}} -
  • - {{t 'location.show.bullet.gdp_pc' name=model.name lastGdpPerCapita=model.lastGdpPerCapita}} -
    • -
  • - {{t 'location.show.bullet.last_pop' lastPop=model.lastPop}} -
    • -
- +
+ +
+
+ + + - - - - + + + - + + - - + - + - - + - + + - - + - + - - + - + - - + - + - - + - + - - + - + + -
- {{t 'location.show.value'}} -
-
- {{t 'rankings.table-title'}} -
-
- 		- {{t 'location.show.all_departments'}} +
+
{{t 'location.show.value'}}
+
{{t 'rankings.table-title'}}
{{t 'location.show.all_departments'}}
- {{t 'location.show.gdp_pc'}} ({{model.censusYear}}) - + {{t 'location.show.gdp_pc'}} ({{model.censusYear}}) {{model.lastGdpPerCapita}} {{table-rank rank=model.gdpPerCapitaRank}} - + {{vistk-dotplot elementId='dotplot--gdp-pc' data=dotplotData @@ -53,15 +34,14 @@ }}
- {{t 'location.show.gdp'}} ({{model.censusYear}}) - + {{t 'location.show.gdp'}} ({{model.censusYear}}) {{model.lastGdp}} {{table-rank rank=model.gdpRank}} - + {{vistk-dotplot elementId='dotplot--gdp' data=dotplotData @@ -72,15 +52,14 @@ }}
- {{t 'location.show.population'}} ({{model.censusYear}}) - + {{t 'location.show.population'}} ({{model.censusYear}}) {{model.lastPop}} {{table-rank rank=model.populationRank}} + {{vistk-dotplot elementId='dotplot--population' data=dotplotData @@ -92,15 +71,14 @@ }}
- {{t 'location.show.eci'}} ({{model.lastYear}}) - + {{t 'location.show.eci'}} ({{model.lastYear}}) {{model.lastEci}} {{table-rank rank=model.eciRank}} + {{vistk-dotplot elementId='dotplot--eci' data=dotplotData @@ -112,15 +90,14 @@ }}
- {{t 'location.show.ag_farmsize'}} - + {{t 'location.show.ag_farmsize'}} {{model.agFarmsize}} {{table-rank rank=model.agFarmsizeRank}} + {{vistk-dotplot elementId='dotplot--agfarmsizes' data=model.agFarmsizesData @@ -131,15 +108,14 @@ }}
- {{t 'location.show.nonag_farmsize'}} - + {{t 'location.show.nonag_farmsize'}} {{model.nonagFarmsize}} {{table-rank rank=model.nonagFarmsizeRank}} + {{vistk-dotplot elementId='dotplot--nonagfarmsizes' data=model.nonagFarmsizesData @@ -150,15 +126,14 @@ }}
- {{t 'location.show.yield_index'}} ({{agproductLastYear}}) - + {{t 'location.show.yield_index'}} ({{agproductLastYear}}) {{model.yieldIndex}} {{table-rank rank=model.yieldIndexRank}} + {{vistk-dotplot elementId='dotplot--yieldindex' data=model.yieldData @@ -170,7 +145,12 @@ }}
-
+ +
+ + +
diff --git a/app/templates/location/-municipality-dotplots.hbs b/app/templates/location/-municipality-dotplots.hbs index 094b78cc..78f596dc 100644 --- a/app/templates/location/-municipality-dotplots.hbs +++ b/app/templates/location/-municipality-dotplots.hbs @@ -1,64 +1,71 @@ +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+
{{t 'location.show.value'}}
+
{{t 'rankings.table-title'}}
+ 		{{t 'location.show.all_departments'}}
{{t 'location.show.ag_farmsize'}} + {{model.agFarmsize}} + {{table-rank rank=model.agFarmsizeRank}} + + {{vistk-dotplot + elementId='dotplot--agfarmsizes' + data=model.agFarmsizesData + varX='avg_farmsize' + varId='location_id' + type='decimal' + currentSelection=locationId + }} +
{{t 'location.show.nonag_farmsize'}} + {{model.nonagFarmsize}} + {{table-rank rank=model.nonagFarmsizeRank}} + + {{vistk-dotplot + elementId='dotplot--nonagfarmsizes' + data=model.nonagFarmsizesData + varX='avg_farmsize' + varId='location_id' + type='decimal' + currentSelection=locationId + }} +
+ +
+
+ + +

{{t 'location.show.overview'}}

- - - - - - - - - - - - - - - - - - - - -
- {{t 'location.show.value'}} -
-
- {{t 'rankings.table-title'}} -
-
- 		- {{t 'location.show.all_departments'}} -
- {{t 'location.show.ag_farmsize'}} - - {{model.agFarmsize}} - {{table-rank rank=model.agFarmsizeRank}} - - {{vistk-dotplot - elementId='dotplot--agfarmsizes' - data=model.agFarmsizesData - varX='avg_farmsize' - varId='location_id' - type='decimal' - currentSelection=locationId - }} -
- {{t 'location.show.nonag_farmsize'}} - - {{model.nonagFarmsize}} - {{table-rank rank=model.nonagFarmsizeRank}} - - {{vistk-dotplot - elementId='dotplot--nonagfarmsizes' - data=model.nonagFarmsizesData - varX='avg_farmsize' - varId='location_id' - type='decimal' - currentSelection=locationId - }} -
+
diff --git a/app/templates/location/-questions.hbs b/app/templates/location/-questions.hbs index a7b92862..53f52af2 100755 --- a/app/templates/location/-questions.hbs +++ b/app/templates/location/-questions.hbs @@ -1,423 +1,222 @@ -
- {{#if featureToggle.showIndustries }} -

{{t 'graph_builder.builder_questions.industry'}}

- {{#if (array-contains openPanels 'industries') }} -
    -
  • - {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'industries' 'multiples' 'employment' (query-params endDate=lastYear startDate=firstYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - +
    + +
    +
    +
    +

    Realice una búsqueda por

    +
    +
    +
    + +
    +

    {{t 'graph_builder.builder_questions.industry'}}

    + +
    + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear search='null') class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.industries.employment.' model.level)}} {{/link-to}} -
    -
    • -
  • - {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params endDate=lastYear startDate=lastYear search='null') - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'industries' 'multiples' 'wages' (query-params endDate=lastYear startDate=firstYear search='null') - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - - {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params endDate=lastYear startDate=lastYear search='null') + +
    + + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params endDate=lastYear startDate=lastYear search='null') class="builder__questions__question" }} {{t (is-concat 'graph_builder.page_title.location.industries.wages.' model.level)}} {{/link-to}} -
    -
    • - {{#unless isMunicipality}} -
  • - {{#link-to 'location.visualization' model.id 'industries' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear search='null') - class="icon-cidcon_similarity builder__questions__item__icon" - tagNmae='i' - }} + + {{#unless isMunicipality}} +
    + + {{#link-to 'location.visualization' model.id 'industries' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.industries.similarity.' model.level)}} {{/link-to}} -
    - - {{#link-to 'location.visualization' model.id 'industries' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.industries.similarity.' model.level)}} - {{/link-to}} - -
    -
    • - {{#unless isCountry}} -
  • +
+ + {{#unless isCountry}} + +
+ {{#link-to 'location.visualization' model.id 'industries' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null') - class="icon-cidcon_scatter builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
- - {{#link-to 'location.visualization' model.id 'industries' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null') - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.industries.scatter.' model.level)}} - {{/link-to}} - -
- - {{/unless}} - {{/unless}} - - {{/if}} - {{/if}} -

{{t 'graph_builder.builder_questions.export'}}

- {{#if (array-contains openPanels 'exports') }} -
    -
  • - {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'products' 'multiples' 'export_value' (query-params search='null' startDate=firstYear endDate=lastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - - {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.products.export_value.' model.level)}} + {{t (is-concat 'graph_builder.page_title.location.industries.scatter.' model.level)}} {{/link-to}} - +
    + + {{/unless}} + + {{/unless}} +
- -
  • - {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'partners' 'multiples' 'export_value' (query-params search='null' startDate=firstYear endDate=lastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - + +
    + +

    {{t 'graph_builder.builder_questions.export'}}

    + +
    + + + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.products.export_value.' model.level)}} + {{/link-to}} + +
    + +
    + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.partners.export_value.' model.level) }} {{/link-to}} - -
    -
    • - {{#if isDepartment}} -
  • - {{#link-to 'location.visualization-product' model.id 1224 'multiples' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization-product' model.id 1224 'multiples' 'export_value' (query-params search='null' startDate=firstYear endDate=lastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - +
    + + {{#if isDepartment}} +
    + {{#link-to 'location.visualization-product' model.id 1224 'multiples' 'export_value' (query-params search='null' startDate=firstYear endDate=lastYear) class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.destination_by_product.export_value.' model.level) }} {{/link-to}} - -
    -
    • - {{/if}} - {{#unless isMunicipality}} -
  • - {{#link-to 'location.visualization' model.id 'products' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear search='null') - class="icon-cidcon_similarity builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - +
    + {{/if}} + {{#unless isMunicipality}} +
    + {{#link-to 'location.visualization' model.id 'products' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear search='null') class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.products.similarity.' model.level)}} {{/link-to}} - -
    -
    • -
  • - {{#link-to 'location.visualization' model.id 'products' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null') - class="icon-cidcon_scatter builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - +
    +
    + {{#link-to 'location.visualization' model.id 'products' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null') class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.products.scatter.' model.level)}} {{/link-to}} - -
    -
    • - {{/unless}} - - {{/if}} - {{#if featureToggle.showImports }} -

    {{t 'graph_builder.builder_questions.import'}}

    - {{#if (array-contains openPanels 'imports') }} -
      -
    • - {{#link-to 'location.visualization' model.id 'products' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'products' 'multiples' 'import_value' (query-params search='null' startDate=firstYear endDate=lastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'products' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.products.import_value.' model.level)}} - {{/link-to}} - -
      -
      • -
    • - {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'partners' 'multiples' 'import_value' (query-params search='null' startDate=firstYear endDate=lastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.partners.import_value.' model.level)}} - {{/link-to}} - +
      + {{/unless}} + +
    + +
    +

    {{t 'graph_builder.builder_questions.import'}}

    + + +
    + + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.products.import_value.' model.level)}} + {{/link-to}}
    - - {{#if isDepartment}} -
  • - {{#link-to 'location.visualization-product' model.id 1224 'multiples' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization-product' model.id 1224 'multiples' 'import_value' (query-params search='null' startDate=firstYear endDate=lastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
    - - {{#link-to 'location.visualization-product' model.id 1224 'multiples' 'import_value' (query-params search='null' startDate=firstYear endDate=lastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.destination_by_product.import_value.' model.level) }} - {{/link-to}} - + +
    + + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.partners.import_value.' model.level)}} + {{/link-to}}
    -
    • - {{/if}} - - {{/if}} - {{/if}} - - {{#unless isMsa }} -

    {{t 'graph_builder.builder_questions.rural'}}

    - {{#if (array-contains openPanels 'rural') }} -
      - - -
    • - {{#link-to 'location.visualization' model.id 'landUses' 'treemap' 'area' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'landUses' 'treemap' 'area' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.landUses.area.' model.level)}} - {{/link-to}} - + + {{#if isDepartment}} +
      + {{#link-to 'location.visualization-product' model.id 1224 'multiples' 'import_value' (query-params search='null' startDate=firstYear endDate=lastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.destination_by_product.import_value.' model.level) }} + {{/link-to}}
      -
      • - -
    • - {{#link-to 'location.visualization' model.id 'farmtypes' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'farmtypes' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.farmtypes.num_farms.' model.level)}} - {{/link-to}} - + {{/if}} + +
      + + {{#unless isMsa }} + +
      + +

      {{t 'graph_builder.builder_questions.rural'}}

      + +
      + + {{#link-to 'location.visualization' model.id 'landUses' 'treemap' 'area' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.landUses.area.' model.level)}} + {{/link-to}}
      -
      • - - -
    • - {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'land_sown' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'agproducts' 'multiples' 'land_sown' (query-params search='null' startDate=agproductFirstYear endDate=agproductLastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'land_sown' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.agproducts.land_sown.' model.level)}} - {{/link-to}} - + + +
      + + {{#link-to 'location.visualization' model.id 'farmtypes' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.farmtypes.num_farms.' model.level)}} + {{/link-to}}
      -
      • - -
    • - {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'land_harvested' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'agproducts' 'multiples' 'land_harvested' (query-params search='null' startDate=agproductFirstYear endDate=agproductLastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'land_harvested' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.agproducts.land_harvested.' model.level)}} - {{/link-to}} - + +
      + + {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'land_sown' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.agproducts.land_sown.' model.level)}} + {{/link-to}}
      -
      • - -
    • - {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'production_tons' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} - {{#link-to 'location.visualization' model.id 'agproducts' 'multiples' 'production_tons' (query-params search='null' startDate=agproductFirstYear endDate=agproductLastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'production_tons' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.agproducts.production_tons.' model.level)}} - {{/link-to}} - + +
      + + {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'land_harvested' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.agproducts.land_harvested.' model.level)}} + {{/link-to}}
      -
      • - -
    • - {{#link-to 'location.visualization' model.id 'agproducts' 'multiples' 'yield_ratio' (query-params search='null' startDate=agproductFirstYear endDate=agproductLastYear) - class="icon-cidcon_multiples builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'agproducts' 'multiples' 'yield_ratio' (query-params search='null' startDate=agproductFirstYear endDate=agproductLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.agproducts.yield_ratio.' model.level)}} - {{/link-to}} - + +
      + + {{#link-to 'location.visualization' model.id 'agproducts' 'treemap' 'production_tons' (query-params search='null' startDate=agproductLastYear endDate=agproductLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.agproducts.production_tons.' model.level)}} + {{/link-to}}
      -
      • - -
    • - {{#link-to 'location.visualization' model.id 'nonags' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'nonags' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.nonags.num_farms.' model.level)}} - {{/link-to}} - + +
      + + {{#link-to 'location.visualization' model.id 'agproducts' 'multiples' 'yield_ratio' (query-params search='null' startDate=agproductFirstYear endDate=agproductLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.agproducts.yield_ratio.' model.level)}} + {{/link-to}}
      -
      • +
      + + {{#link-to 'location.visualization' model.id 'nonags' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.nonags.num_farms.' model.level)}} + {{/link-to}} +
      -
    • - {{#link-to 'location.visualization' model.id 'livestock' 'treemap' 'num_livestock' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'livestock' 'treemap' 'num_livestock' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.livestock.num_livestock.' model.level)}} - {{/link-to}} - +
      + + {{#link-to 'location.visualization' model.id 'livestock' 'treemap' 'num_livestock' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.livestock.num_livestock.' model.level)}} + {{/link-to}}
      -
      • - -
    • - {{#link-to 'location.visualization' model.id 'livestock' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="icon-cidcon_treemap builder__questions__item__icon" - tagNmae='i' - }} - {{/link-to}} -
      - - {{#link-to 'location.visualization' model.id 'livestock' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) - class="builder__questions__question"}} - {{t (is-concat 'graph_builder.page_title.location.livestock.num_farms.' model.level)}} - {{/link-to}} - + +
      + + {{#link-to 'location.visualization' model.id 'livestock' 'treemap' 'num_farms' (query-params search='null' startDate=agcensusLastYear endDate=agcensusLastYear) + class="builder__questions__question"}} + {{t (is-concat 'graph_builder.page_title.location.livestock.num_farms.' model.level)}} + {{/link-to}}
      -
      • +
    + + {{/unless}} - - {{/if}} - {{/unless}} +
    +
    + diff --git a/app/templates/location/-regional-location.hbs b/app/templates/location/-regional-location.hbs index 3bd6d754..71c9f835 100755 --- a/app/templates/location/-regional-location.hbs +++ b/app/templates/location/-regional-location.hbs @@ -11,9 +11,13 @@ agcensusLastYear=agcensusLastYear }} {{#if description }} -

    - {{description}} -

    + +
    +
    + {{description}} +
    +
    + {{/if}} {{#if isDepartment }} @@ -24,6 +28,197 @@ {{partial 'location/municipality-dotplots'}} {{/if}} + +
    + +
    + +
    + +
    + +
    +
    + {{ + zoomable-treemap + data=productsData + varDependent='export_value' + elementId='zoomable-export-value-treemap' + class="position-relative" + color='pink' + }} +
    +
    + {{ + category-buttons + data=productsData + immutableData=inmutableProductsData + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=productsData + varDependent='import_value' + elementId='zoomable-import-value-treemap' + class="position-relative" + color='green' + }} +
    +
    + {{ + category-buttons + data=productsData + immutableData=inmutableProductsData + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=lastIndustryData + varDependent='employment' + elementId='zoomable-employment-treemap' + class="position-relative" + color='pink' + }} +
    +
    + {{ + category-buttons + data=lastIndustryData + immutableData=lastIndustryData + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=industriesData + varDependent='wages' + elementId='zoomable-wages-treemap' + class="position-relative" + color='green' + }} +
    +
    + {{ + category-buttons + data=industriesData + immutableData=industriesData + }} +
    +
    + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    + + +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId='product-space' + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + }} +
    + +
    + {{ + category-buttons + data=productsData + immutableData=productsData + }} +
    + +
    + +
    + +
    +
    + {{vistk-network + data=lastIndustryData + immutableData=lastIndustryData + elementId='industry-space' + dataType='industries' + graph=industrySpace + height=600 + delay=2000 + }} +
    +
    + {{ + category-buttons + data=lastIndustryData + immutableData=lastIndustryData + }} +
    +
    + +
    + +
    + + diff --git a/app/templates/location/-subregion-dotplots.hbs b/app/templates/location/-subregion-dotplots.hbs index 4f5f868b..a971c00f 100755 --- a/app/templates/location/-subregion-dotplots.hbs +++ b/app/templates/location/-subregion-dotplots.hbs @@ -1,4 +1,52 @@ -
    +
    +
    + + + + + + + + + + + + + + + + + + + + + +
    +
    {{t 'location.show.value'}}
    +
    {{t 'rankings.table-title'}}
    +     		{{t 'location.show.all_regions'}}
    {{t 'location.show.eci'}} ({{model.lastYear}}) + {{model.lastEci}} + {{table-rank rank=model.eciRank}} + + {{vistk-dotplot + elementId='dotplot--eci' + data=dotplotData + varX='eci' + varText='name' + varId='location_id' + type='eci' + currentSelection=locationId + }} +
    + +
    +
    + + + + + + diff --git a/app/templates/partials/-buildermod-search.hbs b/app/templates/partials/-buildermod-search.hbs index a3178e57..58020ee5 100755 --- a/app/templates/partials/-buildermod-search.hbs +++ b/app/templates/partials/-buildermod-search.hbs @@ -28,10 +28,10 @@
    - BÚSQUE POR DEPARTAMENTO O CÓDIGO DANE + {{ t (is-concat 'visualization.search.' source) }}
    - {{autocomplete-input-datlas data_search=locationsData type='search' idSelect='searchSelect' placeHolder="Búsqueda por departamento o código CIIU" search=search reset="reset" className="d-flex justify-content-center"}} + {{autocomplete-input-datlas data_search=filterData type='search' idSelect='searchSelect' placeHolder=placeHolderText search=search reset="reset"}}
    diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 015a0ee1..7c303430 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -54,14 +54,11 @@
    - {{#unless isGeo }} - {{partial "partials/buildermod-search"}} - {{/unless}} + {{partial "partials/buildermod-search"}}
    -
    - -
    +
    +
    {{component visualizationComponent classNames='buildermod__viz' immutableData=immutableData @@ -82,21 +79,21 @@ graph=graph elementId=source }} -
    +
    {{#if needsLegend }} {{#unless isGeo }} {{component 'visualization-legend' legend=legend }} {{else}} - {{component 'visualization-legend-geomap' legend=geoLegend }} + {{component 'visualization-legend-geomap' legend=geoLegend classNames='col-md-4 d-flex flex-column justify-content-around' }} {{/unless}} {{/if}}
    - -
    + +
    {{component 'visualization-explanation' text=visualizationExplanation}}
    diff --git a/tests/integration/components/category-buttons-test.js b/tests/integration/components/category-buttons-test.js new file mode 100644 index 00000000..f3f3fa76 --- /dev/null +++ b/tests/integration/components/category-buttons-test.js @@ -0,0 +1,27 @@ +import { moduleForComponent, test } from 'ember-qunit'; +import hbs from 'htmlbars-inline-precompile'; + + +moduleForComponent('category-buttons', 'Integration | Component | category buttons', { + integration: true +}); + +test('it renders', function(assert) { + assert.expect(2); + + // Set any properties with this.set('myProperty', 'value'); + // Handle any actions with this.on('myAction', function(val) { ... }); + + this.render(hbs`{{category-buttons}}`); + + assert.equal(this.$().text(), ''); + + // Template block usage: + this.render(hbs` + {{#category-buttons}} + template block text + {{/category-buttons}} + `); + + assert.equal(this.$().text().trim(), 'template block text'); +}); From 6ac1fcf6d2490f5083bffab4cd51d2e129e054c8 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Tue, 3 Aug 2021 15:55:35 -0500 Subject: [PATCH 012/126] Release 0.5 --- app/controllers/location/show.js | 44 ++- app/locales/en-col/translations.js | 2 + app/locales/es-col/translations.js | 2 + app/routes/location/show.js | 38 ++- app/styles/components/_components/_form.scss | 4 + .../location/-department-dotplots.hbs | 29 ++ app/templates/location/-questions.hbs | 6 +- app/templates/location/-regional-location.hbs | 284 +++++++++++++++++- 8 files changed, 391 insertions(+), 18 deletions(-) diff --git a/app/controllers/location/show.js b/app/controllers/location/show.js index fda2e837..0cef634f 100644 --- a/app/controllers/location/show.js +++ b/app/controllers/location/show.js @@ -7,6 +7,9 @@ export default Ember.Controller.extend({ featureToggle: Ember.inject.service(), queryParams: ['year'], + startDate: null, + endDate: null, + firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), censusYear: computed.alias('featureToggle.census_year'), @@ -25,6 +28,32 @@ export default Ember.Controller.extend({ inmutableProductsData: computed.oneWay('model.productsData'), industriesData: computed.oneWay('model.industriesData'), + rangeYears: computed('firstYear', 'lastYear', function(){ + + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + + var min = this.get("firstYear") + var max = this.get("lastYear") + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + filteredProductsData: computed('model', 'startDate', 'endDate', function (){ + + var products = this.get("model.allProducts") + + return products.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + }), + + filteredPartnersData: computed('model', 'startDate', 'endDate', function (){ + + var partners = this.get("model.allPartners") + + console.log(this.get("model")) + + return partners.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + }), + hasTimeseries: computed.notEmpty('model.timeseries'), hasOccupationData: computed.notEmpty('model.occupations'), hasProductsData: computed.notEmpty('model.productsData'), @@ -37,6 +66,7 @@ export default Ember.Controller.extend({ isDepartment: computed.equal('model.level','department'), isMsa: computed.equal('model.level','msa'), isMunicipality: computed.equal('model.level','municipality'), + showExports: false, productSpace: computed.alias('model.metaData.productSpace'), industrySpace: computed.alias('model.metaData.industrySpace'), @@ -68,6 +98,18 @@ export default Ember.Controller.extend({ }), description: computed('model.name', 'i18n.locale', function() { return this.get(`model.description_${this.get('i18n.display')}`); - }) + }), + actions: { + showExports(value) { + this.set('showExports', value); + }, + setStartYear(){ + + var year = parseInt($("#selectYear").val()) + + this.set('startDate', year) + this.set('endDate', year) + } + } }); diff --git a/app/locales/en-col/translations.js b/app/locales/en-col/translations.js index f9ed4f2b..c70be7e3 100644 --- a/app/locales/en-col/translations.js +++ b/app/locales/en-col/translations.js @@ -604,6 +604,8 @@ export default { "location.show.export_possiblities.footer": "Some exports make not be viable due to local factors not considered by the technological similarity approach.", "location.show.export_possiblities.intro": "We\u2019ve found that countries which export complex products grow faster than those which export simple products. Using the product space presented above, we\u2019ve highlighted \u00a0high potential products for {{name}}, ranked by which have the highest combination of opportunity and complexity.", "location.show.exports": "Exports ({{year}})", + "location.show.exports_filtered": "Exports by product ({{year}})", + "location.show.exports_country_filtered": "Exports by destination country product ({{year}})", "location.show.exports_and_imports": "Exports and imports", "location.show.gdp": "GDP", "location.show.gdp_pc": "GDP per Capita", diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index bb6fd3ec..f31d9417 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -604,6 +604,8 @@ export default { "location.show.export_possiblities.footer": "Los productos indicados pueden no ser viables debido a condiciones del lugar que no se consideran en el an\u00e1lisis de similitud tecnol\u00f3gica.", "location.show.export_possiblities.intro": "Hemos encontrado que los pa\u00edses que exportan productos m\u00e1s complejos crecen m\u00e1s r\u00e1pido. Usando el \"mapa del producto\" presentado arriba, estamos destacando productos de alto potencial para {{name}}, ordenados por las mejores combinaciones de complejidad actual y valor estrat\u00e9gico.", "location.show.exports": "Exportaciones ({{year}})", + "location.show.exports_filtered": "Exportaciones por producto ({{year}})", + "location.show.exports_country_filtered": "Exportaciones por pais de destino ({{year}})", "location.show.exports_and_imports": "Exportaciones e importaciones", "location.show.gdp": "PIB", "location.show.gdp_pc": "PIB per c\u00e1pita", diff --git a/app/routes/location/show.js b/app/routes/location/show.js index 04b08f96..c13bea57 100644 --- a/app/routes/location/show.js +++ b/app/routes/location/show.js @@ -3,7 +3,7 @@ import ENV from '../../config/environment'; import numeral from 'numeral'; const {apiURL} = ENV; -const {RSVP, computed, getWithDefault, get} = Ember; +const {RSVP, computed, getWithDefault, get, copy} = Ember; export default Ember.Route.extend({ // `this.store.find` makes an api call for `params.location_id` and returns a promise @@ -43,7 +43,9 @@ export default Ember.Route.extend({ var ag_farmsizes = Ember.$.getJSON(`${apiURL}/data/farmsize/1/locations/?level=${level}`); var nonag_farmsizes = Ember.$.getJSON(`${apiURL}/data/farmsize/2/locations/?level=${level}`); - return RSVP.allSettled([products, dotplot, industries, subregions_trade, occupations, agproducts, landuses, ag_farmsizes, nonag_farmsizes]).then((array) => { + var partners = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/partners/?level=country`) + + return RSVP.allSettled([products, dotplot, industries, subregions_trade, occupations, agproducts, landuses, ag_farmsizes, nonag_farmsizes, partners]).then((array) => { var productsData = getWithDefault(array[0], 'value.data', []); var dotplotData = getWithDefault(array[1], 'value.data', []);//dotplots @@ -60,6 +62,8 @@ export default Ember.Route.extend({ var agFarmsizesData = getWithDefault(array[7], 'value.data', []); var nonagFarmsizesData = getWithDefault(array[8], 'value.data', []); + var partnersData = getWithDefault(array[9], 'value.data', []); + var productsDataIndex = _.indexBy(productsData, 'product_id'); var industriesDataIndex = _.indexBy(industriesData, 'industry_data'); @@ -69,6 +73,8 @@ export default Ember.Route.extend({ let occupationsMetadata = this.modelFor('application').occupations; let agproductsMetadata = this.modelFor('application').agproducts; let landusesMetadata = this.modelFor('application').landUses; + let partnersMetadata = this.modelFor('application').partnerCountries; + //get products data for the department let products = _.reduce(productsData, (memo, d) => { @@ -80,6 +86,32 @@ export default Ember.Route.extend({ return memo; }, []); + + //get products data for the department + let allProducts = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + let productData = productsDataIndex[d.product_id]; + + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, productData, {year: d.year}, product)); + return memo; + }, []); + + + let allPartners = _.map(partnersData, (d) => { + + let country = partnersMetadata[d.country_id]; + let parent = partnersMetadata[country.parent_id]; + d.parent_name_en = parent.name_en; + d.parent_name_es = parent.name_es; + d.group = parent.id; + + return _.merge(copy(d), country); + }); + + console.log(allPartners) + + //get agproducts data for the department let agproducts = _.reduce(agproductsData, (memo, d) => { if(d.year != this.get('agproductLastYear')) { return memo; } @@ -260,6 +292,8 @@ export default Ember.Route.extend({ model.set('timeseries', dotplotTimeSeries); model.set('metaData', this.modelFor('application')); model.set('subregions', subregions); + model.set('allPartners', allPartners) + model.set('allProducts', allProducts) return model; }); diff --git a/app/styles/components/_components/_form.scss b/app/styles/components/_components/_form.scss index 87b56ce8..18340179 100755 --- a/app/styles/components/_components/_form.scss +++ b/app/styles/components/_components/_form.scss @@ -13,3 +13,7 @@ fieldset { label { display: block; } + +.form-filter{ + font-size: $fontBase !important; +} diff --git a/app/templates/location/-department-dotplots.hbs b/app/templates/location/-department-dotplots.hbs index c151e185..cac00edf 100755 --- a/app/templates/location/-department-dotplots.hbs +++ b/app/templates/location/-department-dotplots.hbs @@ -1,3 +1,32 @@ +
    +
    +
    +
    +

    La estructura económica es

    +
    +
    + +
    +
    + +
    + + {{t 'location.show.bullet.gdp_pc' name=model.name lastGdpPerCapita=model.lastGdpPerCapita}} +
    + +
    + + {{t 'location.show.bullet.last_pop' lastPop=model.lastPop}} +
    + + +
    +
    + +
    +
    + +
    diff --git a/app/templates/location/-questions.hbs b/app/templates/location/-questions.hbs index 53f52af2..0daa8fea 100755 --- a/app/templates/location/-questions.hbs +++ b/app/templates/location/-questions.hbs @@ -1,4 +1,6 @@ -
    + + + diff --git a/app/templates/location/-regional-location.hbs b/app/templates/location/-regional-location.hbs index 71c9f835..845a210f 100755 --- a/app/templates/location/-regional-location.hbs +++ b/app/templates/location/-regional-location.hbs @@ -10,26 +10,284 @@ agcensusFirstYear=agcensusFirstYear agcensusLastYear=agcensusLastYear }} -{{#if description }} -
    -
    - {{description}} + +{{#if showExports}} + +
    +
    + +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    + +
    + +
    +
    + +
    + +
    +
    + +
    +
    +
    + + + +
    + +
    +
    + +
    +
    + {{ + zoomable-treemap + data=filteredProductsData + varDependent='export_value' + elementId='zoomable-export-value-treemap' + class="position-relative" + color='pink' + }} +
    + + {{#if needsLegend }} + {{#unless isGeo }} + {{component 'visualization-legend' legend=legend }} + {{else}} + {{component 'visualization-legend-geomap' legend=geoLegend classNames='col-md-4 d-flex flex-column justify-content-around' }} + {{/unless}} + {{/if}} + +
    + +
    +
    + {{ + category-buttons + data=productsData + immutableData=inmutableProductsData + }} +
    +
    +
    + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + VER MAS + {{/link-to}} +
    +
    +
    + +
    +
    + +
    +
    + {{ + zoomable-treemap + data=filteredPartnersData + varDependent='export_value' + elementId='zoomable-export-value-treemap-partner' + class="position-relative" + color='pink' + }} +
    + + {{#if needsLegend }} + {{#unless isGeo }} + {{component 'visualization-legend' legend=legend }} + {{else}} + {{component 'visualization-legend-geomap' legend=geoLegend classNames='col-md-4 d-flex flex-column justify-content-around' }} + {{/unless}} + {{/if}} + +
    + +
    +
    + {{ + category-buttons + data=productsData + immutableData=inmutableProductsData + }} +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + VER MAS + {{/link-to}} +
    +
    + +
    + +
    + +
    +
    +
    + +
    + + +
    +
    +
    +

    Productos que más exporta el departamento

    +
    + +
    + {{ + datlas-table + data=filteredProductsData + source='products' + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="productssourceTable" + }} +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + VER MAS + {{/link-to}} +
    +
    + +
    + + +
    +
    +

    Paises donde más exporta el departamento

    +
    + +
    + {{ + datlas-table + data=filteredPartnersData + source='partners' + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="partnerssourceTable" + }} +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + VER MAS + {{/link-to}} +
    +
    + +
    + + +
    + + +
    + +
    + +
    +
    -{{/if}} +
    +
    + {{#link-to 'location.visualization' model.id 'products' 'scatter' 'opportunity' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    -{{#if isDepartment }} - {{partial 'location/department-dotplots'}} -{{else if isMsa}} - {{partial 'location/subregion-dotplots'}} -{{else if isMunicipality}} - {{partial 'location/municipality-dotplots'}} -{{/if}} +{{else }} + {{#if isDepartment }} + {{partial 'location/department-dotplots'}} + {{else if isMsa}} + {{partial 'location/subregion-dotplots'}} + {{else if isMunicipality}} + {{partial 'location/municipality-dotplots'}} + {{/if}} -
    +
    +
    + +
    +
    + +{{/if}} + + + +
    +
    + +
    + +
    + +
    +
    +
    +
    + +
    + + + diff --git a/app/templates/components/visualization-legend-geomap.hbs b/app/templates/components/visualization-legend-geomap.hbs index c1734a32..ede8b53c 100644 --- a/app/templates/components/visualization-legend-geomap.hbs +++ b/app/templates/components/visualization-legend-geomap.hbs @@ -2,12 +2,21 @@

    {{t varDependent}}

    - {{#each key in legend}} -
    - {{key.start}} - {{key.end}} -
    - {{else}} - {{/each}} +
    + {{#each key in staticLegend}} + {{#if (is-equal key.class activeLegend)}} +
    + {{key.start}} - {{key.end}} +
    + {{else}} +
    + {{key.start}} - {{key.end}} +
    + {{/if}} + + {{/each}} +
    +
    diff --git a/app/templates/components/zoomable-treemap.hbs b/app/templates/components/zoomable-treemap.hbs index fdbc1301..17dd0c1b 100644 --- a/app/templates/components/zoomable-treemap.hbs +++ b/app/templates/components/zoomable-treemap.hbs @@ -6,6 +6,7 @@
    +
    diff --git a/app/templates/index.hbs b/app/templates/index.hbs index ae9998b1..82822264 100755 --- a/app/templates/index.hbs +++ b/app/templates/index.hbs @@ -35,11 +35,11 @@
    -

    {{ t 'index.questions_head_p1' }}

    -
    +

    {{ t 'index.questions_head_p1' }}

    +
    - +
    @@ -100,19 +100,19 @@

    {{ t 'search.sophistication_path_place'}}

    - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. + ¿Quiere conocer más acerca de la sofisticación y diversificación de un lugar?

    - +

    {{ t 'search.sophistication_path_product'}}

    - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc a porta dolor, at vehicula enim. Fusce dignissim massa magna, quis mollis arcu scelerisque fringilla. + ¿Quiere conocer más acerca de la sofisticación y diversificación de un producto?

    - +
    @@ -209,6 +209,6 @@
    - +
    diff --git a/app/templates/industry/-questions.hbs b/app/templates/industry/-questions.hbs index 0ee637ac..d90e14ee 100755 --- a/app/templates/industry/-questions.hbs +++ b/app/templates/industry/-questions.hbs @@ -13,7 +13,7 @@
    - {{#link-to 'industry.visualization' model.id 'departments' 'multiples' 'employment' (query-params startDate=firstYear endDate=lastYear toolTips="rca") + {{#link-to 'industry.visualization' model.id 'departments' 'geo' 'employment' (query-params startDate=lastYear endDate=lastYear toolTips="rca") class="builder__questions__question" }} {{t 'graph_builder.page_title.industry.departments.employment'}} @@ -36,7 +36,7 @@
    - {{#link-to 'industry.visualization' model.id 'departments' 'multiples' 'wages' (query-params startDate=firstYear endDate=lastYear toolTips="employment,rca") + {{#link-to 'industry.visualization' model.id 'departments' 'geo' 'wages' (query-params startDate=lastYear endDate=lastYear toolTips="employment,rca") class="builder__questions__question" }} {{t 'graph_builder.page_title.industry.departments.wages'}} diff --git a/app/templates/partials/-buildermod-search.hbs b/app/templates/partials/-buildermod-search.hbs index 58020ee5..9f1c82fb 100755 --- a/app/templates/partials/-buildermod-search.hbs +++ b/app/templates/partials/-buildermod-search.hbs @@ -1,11 +1,13 @@
    - - - + + + - + + +
    @@ -30,12 +32,103 @@ {{ t (is-concat 'visualization.search.' source) }}
    - {{autocomplete-input-datlas data_search=filterData type='search' idSelect='searchSelect' placeHolder=placeHolderText search=search reset="reset"}}
    + +
    diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 8200a2dd..709a520e 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -55,8 +55,24 @@

    {{years}}

    -
    + + +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=canYearToggle + isScatter=isScatter + rcaFilter=rcaFilter + }}
    @@ -81,6 +97,7 @@ graph=graph elementId=source toolTips=toolTips + range=range }}
    @@ -105,7 +122,7 @@ {{ datlas-table - data=filteredData + data=filteredDataTable source=source entityType=entityType search=search diff --git a/tests/integration/components/buildermod-search-test.js b/tests/integration/components/buildermod-search-test.js new file mode 100644 index 00000000..3279fd6e --- /dev/null +++ b/tests/integration/components/buildermod-search-test.js @@ -0,0 +1,27 @@ +import { moduleForComponent, test } from 'ember-qunit'; +import hbs from 'htmlbars-inline-precompile'; + + +moduleForComponent('buildermod-search', 'Integration | Component | buildermod search', { + integration: true +}); + +test('it renders', function(assert) { + assert.expect(2); + + // Set any properties with this.set('myProperty', 'value'); + // Handle any actions with this.on('myAction', function(val) { ... }); + + this.render(hbs`{{buildermod-search}}`); + + assert.equal(this.$().text(), ''); + + // Template block usage: + this.render(hbs` + {{#buildermod-search}} + template block text + {{/buildermod-search}} + `); + + assert.equal(this.$().text().trim(), 'template block text'); +}); diff --git a/tests/unit/services/buildermod-search-service-test.js b/tests/unit/services/buildermod-search-service-test.js new file mode 100644 index 00000000..8a27d958 --- /dev/null +++ b/tests/unit/services/buildermod-search-service-test.js @@ -0,0 +1,12 @@ +import { moduleFor, test } from 'ember-qunit'; + +moduleFor('service:buildermod-search-service', 'Unit | Service | buildermod search service', { + // Specify the other units that are required for this test. + // needs: ['service:foo'] +}); + +// Replace this with your real tests. +test('it exists', function(assert) { + var service = this.subject(); + assert.ok(service); +}); diff --git a/tests/unit/services/map-service-test.js b/tests/unit/services/map-service-test.js new file mode 100644 index 00000000..d53fb8c6 --- /dev/null +++ b/tests/unit/services/map-service-test.js @@ -0,0 +1,12 @@ +import { moduleFor, test } from 'ember-qunit'; + +moduleFor('service:map-service', 'Unit | Service | map service', { + // Specify the other units that are required for this test. + // needs: ['service:foo'] +}); + +// Replace this with your real tests. +test('it exists', function(assert) { + var service = this.subject(); + assert.ok(service); +}); diff --git a/tests/unit/services/treemap-service-test.js b/tests/unit/services/treemap-service-test.js new file mode 100644 index 00000000..691bd79c --- /dev/null +++ b/tests/unit/services/treemap-service-test.js @@ -0,0 +1,12 @@ +import { moduleFor, test } from 'ember-qunit'; + +moduleFor('service:treemap-service', 'Unit | Service | treemap service', { + // Specify the other units that are required for this test. + // needs: ['service:foo'] +}); + +// Replace this with your real tests. +test('it exists', function(assert) { + var service = this.subject(); + assert.ok(service); +}); From 6fbe7a99bf247f4e9c94d3bcc3e6791c954aa2e2 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 5 Sep 2021 20:21:36 -0500 Subject: [PATCH 020/126] Release 0.8 --- app/components/autocomplete-input-datlas.js | 9 +- app/components/datlas-table.js | 7 +- app/components/zoomable-treemap.js | 271 +++++++++++++++++- app/controllers/location/show.js | 1 - app/controllers/product/show.js | 32 +++ app/controllers/visualization.js | 19 +- app/locales/en-col/translations.js | 3 + app/locales/es-col/translations.js | 7 +- app/mixins/table-map.js | 90 ++++++ app/routes/application.js | 14 +- app/routes/product/show.js | 72 ++++- app/routes/product/visualization.js | 20 +- .../components/_components/_tooltip.scss | 4 + app/templates/components/stream-header.hbs | 9 +- app/templates/components/zoomable-treemap.hbs | 29 ++ app/templates/location/-questions.hbs | 4 +- app/templates/location/-regional-location.hbs | 50 +--- app/templates/product/-questions.hbs | 12 +- app/templates/product/show.hbs | 213 +++++++++++++- app/templates/visualization.hbs | 9 + .../col-industry_section_colors.json | 45 +-- .../product_section_colors.json | 45 +-- 22 files changed, 861 insertions(+), 104 deletions(-) diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js index a26af82b..60d0d863 100644 --- a/app/components/autocomplete-input-datlas.js +++ b/app/components/autocomplete-input-datlas.js @@ -20,7 +20,7 @@ export default Ember.Component.extend({ let id_select = this.get('idSelect'); var $eventSelect = $(`#${id_select}`); let type = this.get('type'); - let self = this + let self = this; var data = this.get('data_search') var placeholder = this.get("placeHolder") @@ -73,7 +73,7 @@ export default Ember.Component.extend({ self.sendAction(action, id); - } else if (type == 'search') { + } else if (type === 'search') { self.set('search', text); self.set("buildermodSearchService.search", text); } @@ -96,9 +96,10 @@ export default Ember.Component.extend({ let id_select = this.get('idSelect'); var buildermodSearchService = this.get("buildermodSearchService.search"); var $eventSelect = $(`#${id_select}`); - var placeholder = this.get("placeHolder") + var placeholder = this.get("placeHolder"); let type = this.get('type'); - var data = this.get('data_search') + var data = this.get('data_search'); + var self = this; if(placeholder === null){ placeholder = this.get('i18n').t(`pageheader.search_placeholder.${type}`).string diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js index d8f91f27..6c494246 100644 --- a/app/components/datlas-table.js +++ b/app/components/datlas-table.js @@ -19,6 +19,7 @@ export default Ember.Component.extend(TableMap, { let source = this.get('source'); let map = this.get(`${source}Map`); + if (entityType === "landUse"){ map = this.get("landUseLocationsMap"); } else if (entityType === "agproduct"){ @@ -158,7 +159,11 @@ export default Ember.Component.extend(TableMap, { } }, updatedData: computed('data.[]', 'tableMap', 'i18n.locale', 'source', 'search', 'startDate', function() { - var data = this.get("data") + var data = this.get("data"); + + if(data === undefined){ + data = []; + } var columns = this.get('tableMap').map((column) => { return column.key }) diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index f59e4f27..c875c2d3 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -1,5 +1,5 @@ import Ember from 'ember'; -const {computed, observer, get:get} = Ember; +const {computed, observer, get:get, set:set} = Ember; import numeral from 'numeral'; export default Ember.Component.extend({ @@ -7,6 +7,7 @@ export default Ember.Component.extend({ buildermodSearchService: Ember.inject.service(), treemapService: Ember.inject.service(), varDependentTooltip: null, + inmutableData: null, id: computed('elementId', function() { return `#${this.get('elementId')} section`; }), @@ -27,14 +28,23 @@ export default Ember.Component.extend({ updatedData: computed('data.[]', 'varDependent', 'varText', 'i18n.locale', 'search', 'toolTips', function() { var key = this.get('varText'); + var data = this.get('data'); var dependent = this.get('varDependent'); var toolTipsData = this.get('toolTipsData'); var self = this; - return this.get('data').map(item => { + if(data.length === 0){ + data = [] + } + + console.log(data) + + return data.map(item => { if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ return { key:_.get(item, key), + color: _.get(item, "color"), + icon: _.get(item, "icon"), value: _.get(item, dependent), tooltips: toolTipsData.map(varDependent => { return { @@ -47,6 +57,8 @@ export default Ember.Component.extend({ else{ return { key: _.get(item, key), + color: _.get(item, "color"), + icon: _.get(item, "icon"), value: _.get(item, dependent), group: _.get(item, `parent_name_${this.get('i18n').display}`), parent_code: _.get(item, `parent_code`), @@ -61,6 +73,70 @@ export default Ember.Component.extend({ }); }), + inmutableNestedData: computed('data.[]', 'varDependent', 'varText', 'i18n.locale', 'search', 'toolTips', function () { + var key = this.get('varText'); + var data = this.get('data'); + + if(data.length === 0){ + data = [] + } + + var dependent = this.get('varDependent'); + var toolTipsData = this.get('toolTipsData'); + var self = this; + var updatedData = data.map(item => { + + if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ + return { + key:_.get(item, key), + color: _.get(item, "color"), + icon: _.get(item, "icon"), + value: _.get(item, dependent), + tooltips: toolTipsData.map(varDependent => { + return { + "name": self.get('i18n').t(`graph_builder.table.${varDependent}`).string, + "value": self.formatNumber(_.get(item, varDependent), varDependent, self.get('i18n')) + }; + }) + }; + } + else{ + return { + key: _.get(item, key), + color: _.get(item, "color"), + icon: _.get(item, "icon"), + value: _.get(item, dependent), + group: _.get(item, `parent_name_${this.get('i18n').display}`), + parent_code: _.get(item, `parent_code`), + tooltips: toolTipsData.map(varDependent => { + return { + "name": self.get('i18n').t(`graph_builder.table.${varDependent}`).string, + "value": self.formatNumber(_.get(item, varDependent), varDependent, self.get('i18n')) + }; + }) + }; + } + + }); + + this.set("inmutableData", updatedData); + + if(updatedData[0] !== undefined){ + if(updatedData[0].hasOwnProperty("group")){ + if(updatedData[0].group == undefined){ + return d3.nest().entries(updatedData); + } + return d3.nest().key(function(d) { return d.group; }).entries(updatedData); + } + else{ + return d3.nest().entries(updatedData); + } + } + else{ + return [] + } + + }), nestedData: computed('updatedData', 'search', function () { var updatedData = this.get('updatedData'); @@ -75,6 +151,9 @@ export default Ember.Component.extend({ return d3.nest().entries(updatedData); } } + else{ + return [] + } }), getColors: computed('updatedData', 'search', 'color', function () { @@ -152,6 +231,10 @@ export default Ember.Component.extend({ return number; } }, + getColor: (color, area) => { + var color_dynamic = d3.scale.linear().domain([100, 0]).interpolate(d3.interpolateHcl).range([color, color]); + return color_dynamic(area); + }, treemap: computed('data.[]', 'id', 'updatedData', 'nestedData', 'varDependent', 'i18n.locale', 'varText', 'search', function () { var elementId = this.get('id'); @@ -384,7 +467,23 @@ export default Ember.Component.extend({ g.selectAll("rect") .style("fill", function(d) { - return color(d.area*100); + if(d.hasOwnProperty("color")){ + if(d.color !== undefined){ + //didi + return self.getColor(d.color, d.area*100); + } + return color(d.area*100); + } + else{ + if(d.hasOwnProperty("values")){ + if(d.values.length > 0){ + return self.getColor(d.values[0].color, d.area*100); + } + return color(d.area*100); + } + return color(d.area*100); + } + }) .style("stroke", "#292A48") @@ -517,16 +616,177 @@ export default Ember.Component.extend({ } }), + categoriesObject: computed('inmutableNestedData', 'i18n.locale', function() { + var categories = this.get('inmutableNestedData').map(item => { + + var color = "#33691e"; + var icon = "fas fa-atom"; + + if(item.hasOwnProperty("color")){ + color = item.color; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("color")){ + color = item.values[0].color; + } + } + } + } + + + + if(item.hasOwnProperty("icon")){ + icon = item.icon; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("icon")){ + icon = item.values[0].icon; + } + } + } + } + + + return { + name: item.key, + color: color, + icon: icon, + hide: false, + isolate: false + } + }) + + return categories; + + }), + updateCategoriesObject: function (index, attr) { + + var temp = this.get('categoriesObject').objectAt(index); + let newValue = !_.get(temp, attr); + + if(attr === "hide"){ + + if(newValue === true){ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item === index){ + set(temp, "hide", true); + set(temp, "isolate", false); + } + else{ + set(temp, "isolate", false); + } + + }); + + } + else{ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + set(temp, "hide", false); + set(temp, "isolate", false); + + }); + } + + + } + else if(attr === "isolate"){ + + if(newValue === true){ + + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item !== index){ + set(temp, "isolate", false); + set(temp, "hide", true); + } + else{ + set(temp, "isolate", true); + set(temp, "hide", false); + } + }); + + + + } + else{ + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + set(temp, "isolate", false); + set(temp, "hide", false); + + }); + + } + + + + } + + + var updatedData = []; + + for(let category of this.get('categoriesObject')) { + var isolate = category.isolate; + var hide = category.hide; + + if(isolate === true){ + updatedData = this.get("inmutableData").filter(item => { + return item.group === category.name; + }); + break; + } + + if(hide === false){ + var toAddupdatedData = this.get("inmutableData").filter(item => { + return item.group === category.name; + }) + updatedData = updatedData.concat(toAddupdatedData); + } + + } + + this.set("updatedData", updatedData); + + //var temp = this.get('categoriesObject').objectAt(index) + //set(temp, attr, !_.get(temp, attr)) + + }, didInsertElement: function() { Ember.run.scheduleOnce('afterRender',this , function() { - console.log(this.get('data')) + this.get('categoriesObject'); + var id = this.get('id'); + d3.select(id).selectAll('svg').remove(); this.get('treemap'); + $('.category-button').on("mouseover", function(e) { + + $(this).find("div.tooltip").removeClass("d-none") + }) + + $('.category-button').on("mouseleave", function(e) { + $(this).find("div.tooltip").addClass("d-none"); + }) }); }, @@ -592,6 +852,9 @@ export default Ember.Component.extend({ }); }, + check(index, attr) { + this.updateCategoriesObject(index, attr) + } }, update: observer('i18n.display', 'updatedData', function() { d3.select(this.get('id')).selectAll('svg').remove(); diff --git a/app/controllers/location/show.js b/app/controllers/location/show.js index 1744ed5c..10653793 100644 --- a/app/controllers/location/show.js +++ b/app/controllers/location/show.js @@ -39,7 +39,6 @@ export default Ember.Controller.extend({ }), filteredProductsData: computed('model', 'startDate', 'endDate', function (){ - var products = this.get("model.allProducts") return products.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) diff --git a/app/controllers/product/show.js b/app/controllers/product/show.js index 1f9bc37c..47c28737 100644 --- a/app/controllers/product/show.js +++ b/app/controllers/product/show.js @@ -5,11 +5,43 @@ export default Ember.Controller.extend({ featureToggle: Ember.inject.service(), queryParams: ['year'], + startDate: null, + endDate: null, + rangeYears: computed('firstYear', 'lastYear', function(){ + + this.set('startDate', this.get("lastYear")); + this.set('endDate', this.get("lastYear")); + + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + entityType: "product", + source: "products", firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + exportDataCities: computed('model.data', 'startDate', function (){ + return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); + }), + exportDataPartners: computed('model.data', 'startDate', function (){ + return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); + }), + actions: { + setStartYear(){ + + var year = parseInt($("#selectYear").val()); + + this.set('startDate', year); + this.set('endDate', year); + } + } }); diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index dd8afb43..f3199551 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -71,6 +71,20 @@ export default Ember.Controller.extend({ }) }), + partnersData: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.partnerCountries')) + + console.log(locations) + + return locations.filter(item => item[1].level === "country").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + firstYear: computed('model', 'entityType', 'source', 'featureToggle', function(){ // Handle the situation where we're not looking at a location profile but // at a thing-profile like livestock profile. In that case since we're only @@ -157,6 +171,10 @@ export default Ember.Controller.extend({ else if(this.get('source') == 'products'){ return this.get('productsData') } + else if(this.get('source') == 'partners'){ + console.log(this.get('partnersData')) + return this.get('partnersData') + } else{ return [] } @@ -459,7 +477,6 @@ export default Ember.Controller.extend({ //console.log("filteredData") let data = this.get('immutableData'); - console.log(data) this.set('search', this.get('buildermodSearchService.search')); diff --git a/app/locales/en-col/translations.js b/app/locales/en-col/translations.js index de3fe975..6444a779 100644 --- a/app/locales/en-col/translations.js +++ b/app/locales/en-col/translations.js @@ -217,6 +217,7 @@ export default { "graph_builder.download.employment_growth": "Employment growth rate ({{yearRange}})", "graph_builder.download.export": "Export", "graph_builder.download.export_num_plants": "Firm number", + "graph_builder.download.import_num_plants": "Firm number", "graph_builder.download.export_rca": "Revealed comparative advantage", "graph_builder.download.export_value": "Exports, USD", "graph_builder.download.farmtype": "Type of UPA", @@ -734,6 +735,8 @@ export default { "area": "Area (ha)", "num_farms": "Number of production units", "num_livestock": "Number of livestock", + "export_value": "Exports (In millions of dollars FOB)", + "import_value": "Imports (In millions of dollars FOB)", "modal.geo.visualization.title": "Component help", "modal.geo.visualization.p1": "In the year selector use the buttons ", diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 0860e532..6c0be87b 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -180,8 +180,8 @@ export default { "graph_builder.builder_questions.city": "Preguntas: Ciudades", "graph_builder.builder_questions.department": "Preguntas: Departamentos", "graph_builder.builder_questions.employment": "Empleo", - "graph_builder.builder_questions.export": "Preguntas: Exportaciones", - "graph_builder.builder_questions.import": "Preguntas: Importaciones", + "graph_builder.builder_questions.export": "Exportaciones", + "graph_builder.builder_questions.import": "Importaciones", "graph_builder.builder_questions.industry": "Preguntas: Sectores", "graph_builder.builder_questions.landUse": "Usos del suelo", "graph_builder.builder_questions.land_harvested": "\u00c1rea cosechada", @@ -440,6 +440,7 @@ export default { "graph_builder.table.employment_growth": "Tasa de crecimiento del empleo ({{yearRange}})", "graph_builder.table.export": "Exportaci\u00f3n", "graph_builder.table.export_num_plants": "N\u00famero de empresas", + "graph_builder.table.import_num_plants": "N\u00famero de empresas", "graph_builder.table.export_rca": "Ventaja comparativa revelada", "graph_builder.table.export_value": "Exportaciones, USD", "graph_builder.table.farmtype": "Tipo de UPA", @@ -741,6 +742,8 @@ export default { "area": "Área (ha)", "num_farms": "Número de Unidades de Producción", "num_livestock": "Número de animales", + "export_value": "Exportaciones (En millones de dólares FOB)", + "import_value": "Importaciones (En millones de dólares FOB)", "modal.geo.visualization.title": "Ayuda del componente", "modal.geo.visualization.p1": "En el selector de año haga uso de los botones ", diff --git a/app/mixins/table-map.js b/app/mixins/table-map.js index 9b7237ae..e0636eda 100644 --- a/app/mixins/table-map.js +++ b/app/mixins/table-map.js @@ -154,6 +154,74 @@ export default Ember.Mixin.create({ ); } + return columns; + + }), + exportsDepartmentsMap: computed('featureToggle.showImports', 'featureToggle.showIndustries', function() { + let columns = [ + { key: 'code' }, + { key: 'name', copy: 'location' }, + { key: 'year' }, + { key: 'export_value' }, + { key: 'export_rca' }, + { key: 'export_num_plants' }, + { key: 'distance' } + ]; + return columns; + + }), + importsDepartmentsMap: computed('featureToggle.showImports', 'featureToggle.showIndustries', function() { + let columns = [ + { key: 'code' }, + { key: 'name', copy: 'location' }, + { key: 'year' }, + { key: 'import_value' }, + { key: 'import_rca' }, + { key: 'import_num_plants' }, + { key: 'distance' }, + + // + //{ key: 'rca' }, + + //{ key: 'cog' } + ]; + + + + return columns; + + }), + exportsCitiesMap: computed('featureToggle.showImports', 'featureToggle.showIndustries', function() { + let columns = [ + { key: 'code' }, + { key: 'name', copy: 'location' }, + { key: 'parent_name', copy: 'parent.location' }, + { key: 'year' }, + { key: 'export_value' }, + { key: 'export_rca' }, + { key: 'export_num_plants' }, + { key: 'distance' }, + ]; + + + + return columns; + + }), + importsCitiesMap: computed('featureToggle.showImports', 'featureToggle.showIndustries', function() { + let columns = [ + { key: 'code' }, + { key: 'name', copy: 'location' }, + { key: 'parent_name', copy: 'parent.location' }, + { key: 'year' }, + { key: 'import_value' }, + { key: 'import_rca' }, + { key: 'import_num_plants' }, + { key: 'distance' }, + ]; + + + return columns; }), @@ -270,6 +338,28 @@ export default Ember.Mixin.create({ return columns; } }), + exportPartnersMap: computed('featureToggle.showImports', function() { + let columns = [ + { key: 'code' }, + { key: 'name', copy: 'country' }, + { key: 'parent', copy: 'parent.country' }, + { key: 'year' }, + { key: 'export_value' } + ]; + + return columns; + }), + importPartnersMap: computed('featureToggle.showImports', function() { + let columns = [ + { key: 'code' }, + { key: 'name', copy: 'country' }, + { key: 'parent', copy: 'parent.country' }, + { key: 'year' }, + { key: 'import_value' } + ]; + + return columns; + }), departmentRankingsMap: computed('featureToggle.showIndustries', function() { let columns = [ { key: 'name' }, diff --git a/app/routes/application.js b/app/routes/application.js index 99b28cb9..d42812d2 100644 --- a/app/routes/application.js +++ b/app/routes/application.js @@ -105,7 +105,7 @@ export default Ember.Route.extend({ industryPCI= _.groupBy(industryPCI, 'industry_id'); _.forEach(locationsMetadata, (d) => { - let color = '#d7cbf2'; + let color = '#880e4f'; d.group = d.id; d.color = color; @@ -115,10 +115,13 @@ export default Ember.Route.extend({ _.forEach(productsMetadata, (d) => { let sectionId = productsHierarchy[d.id]; let color = _.isUndefined(sectionId) ? '#fff' : get(productSectionColor, `${sectionId}.color`); + let icon = _.isUndefined(sectionId) ? 'fas fa-arrow-alt-circle-up' : get(productSectionColor, `${sectionId}.icon`); d.color = color; + d.icon = icon; set(productSectionMap, `${sectionId}.color`, color); + set(productSectionMap, `${sectionId}.icon`, icon); d.pci_data = get(productPCI, `${d.id}`); d.parent_name_en = get(productSectionMap, `${sectionId}.name_en`); @@ -180,6 +183,7 @@ export default Ember.Route.extend({ _.forEach(industriesMetadata, (d) => { let sectionId = industriesHierarchy[d.id]; let color = _.isUndefined(sectionId) ? '#fff' :get(industrySectionColor, `${sectionId}.color`); + let icon = _.isUndefined(sectionId) ? 'fas fa-arrow-alt-circle-up' : get(industrySectionColor, `${sectionId}.icon`); d.pci_data = get(industryPCI, `${d.id}`); /* @@ -189,15 +193,21 @@ export default Ember.Route.extend({ set(industrySectionMap, `${sectionId}.color`, color); } + if(!_.isUndefined(sectionId)) { + set(industrySectionMap, `${sectionId}.icon`, icon); + } + + d.group = get(industrySectionMap, `${sectionId}.code`); d.parent_name_en = get(industrySectionMap, `${sectionId}.name_en`); d.parent_name_es = get(industrySectionMap, `${sectionId}.name_es`); d.color = color; + d.icon = icon; d.model = 'industry'; }); _.forEach(partnerCountries, (d) => { - let color = '#d7cbf2'; + let color = '#880e4f'; d.name_short_en = d.name_en; d.name_short_es = d.name_es; d.color = color; diff --git a/app/routes/product/show.js b/app/routes/product/show.js index cf64e851..1c01d790 100644 --- a/app/routes/product/show.js +++ b/app/routes/product/show.js @@ -1,8 +1,78 @@ import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set} = Ember; export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + product_id: null, + model(params) { - return this.store.find('product', params.product_id); + let {product_id} = params; + set(this, 'product_id', product_id); + + let hash = { + model: this.store.find('product', product_id), + locations: $.getJSON(`${apiURL}/data/product/${product_id}/exporters?level=department`), + cities: $.getJSON(`${apiURL}/data/product/${product_id}/exporters?level=msa`), + partners: $.getJSON(`${apiURL}/data/product/${product_id}/partners?level=country`) + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, locations, cities, partners} = hash; + let locationsMetadata = this.modelFor('application').locations; + let partnersMetadata = this.modelFor('application').partnerCountries; + + let locationsData = _.map(locations.data, (d) => { + let location = locationsMetadata[d.department_id]; + let department = copy(d); + return _.merge(department, location, {model: 'location'}); + }); + + let citiesData = _.map(cities.data, (d) => { + let location = locationsMetadata[d.msa_id]; + let city = copy(d); + let result = _.merge( + city, location, + { + model: 'location', + parent_name_en: locationsMetadata[location.parent_id].name_short_en, + parent_name_es: locationsMetadata[location.parent_id].name_short_es, + } + ); + return result; + }); + + let partnersData = _.map(partners.data, (d) => { + let country = partnersMetadata[d.country_id]; + let parent = partnersMetadata[country.parent_id]; + let partner = copy(d); + partner.parent_name_en = parent.name_en; + partner.parent_name_es = parent.name_es; + partner.group = parent.id; + d.model = null; + return _.merge(partner, parent, country); + }); + + return Ember.Object.create({ + entity: model, + locationsData: locationsData, + citiesData: citiesData, + partnersData: partnersData + }); }, setupController(controller, model) { this._super(controller, model); diff --git a/app/routes/product/visualization.js b/app/routes/product/visualization.js index e05ca752..ff73398f 100644 --- a/app/routes/product/visualization.js +++ b/app/routes/product/visualization.js @@ -51,7 +51,8 @@ export default Ember.Route.extend({ let id = get(this, 'product_id'); return { model: this.store.find('product', id), - locations: $.getJSON(`${apiURL}/data/product/${id}/exporters?level=department`) + locations: $.getJSON(`${apiURL}/data/product/${id}/exporters?level=department`), + cities: $.getJSON(`${apiURL}/data/product/${id}/exporters?level=msa`) }; }), partners: computed('product_id', function() { @@ -69,7 +70,7 @@ export default Ember.Route.extend({ }; }), departmentsDataMunging(hash) { - let {model,locations} = hash; + let {model,locations, cities} = hash; let locationsMetadata = this.modelFor('application').locations; let data = _.map(locations.data, (d) => { @@ -78,9 +79,24 @@ export default Ember.Route.extend({ return _.merge(department, location, {model: 'location'}); }); + let datas = _.map(cities.data, (d) => { + let location = locationsMetadata[d.msa_id]; + let city = copy(d); + let result = _.merge( + city, location, + { + model: 'location', + parent_name_en: locationsMetadata[location.parent_id].name_short_en, + parent_name_es: locationsMetadata[location.parent_id].name_short_es, + } + ); + return result; + }); + return Ember.Object.create({ entity: model, data: data, + cities: datas }); }, citiesDataMunging(hash) { diff --git a/app/styles/components/_components/_tooltip.scss b/app/styles/components/_components/_tooltip.scss index 9a3ecd7c..2771aead 100755 --- a/app/styles/components/_components/_tooltip.scss +++ b/app/styles/components/_components/_tooltip.scss @@ -51,3 +51,7 @@ .tooltip-category:after{ border-top-color: $colorSecondary; } + +.text-principal{ + color: $colorBase; +} diff --git a/app/templates/components/stream-header.hbs b/app/templates/components/stream-header.hbs index ddda6cfb..0f2975d7 100755 --- a/app/templates/components/stream-header.hbs +++ b/app/templates/components/stream-header.hbs @@ -47,7 +47,14 @@
    1. {{#link-to 'index'}}Home{{/link-to}}
    2. {{#link-to 'search' (query-params filter="product")}}{{ t 'search.results_products' }}{{/link-to}}
      3. -
    3. {{model.name}}
      4. + + {{#if isVisualization}} +
    4. {{#link-to 'product.show' model.id}}{{model.name}}{{/link-to}}
      5. +
    5. {{pageTitle}}
      6. + {{else}} +
    6. {{model.name}}
      7. + {{/if}} +
    diff --git a/app/templates/components/zoomable-treemap.hbs b/app/templates/components/zoomable-treemap.hbs index 17dd0c1b..c5dd0111 100644 --- a/app/templates/components/zoomable-treemap.hbs +++ b/app/templates/components/zoomable-treemap.hbs @@ -12,3 +12,32 @@
    +{{#if filterCategory }} +
    + {{#each category in categoriesObject}} + +
    +
    +

    {{category.name}}

    + +
    + + + + + +
    + +
    + + + + +
    + + + {{/each}} +
    +
    +{{/if}} + diff --git a/app/templates/location/-questions.hbs b/app/templates/location/-questions.hbs index 0daa8fea..5258a009 100755 --- a/app/templates/location/-questions.hbs +++ b/app/templates/location/-questions.hbs @@ -1,6 +1,6 @@ - + diff --git a/app/templates/location/-regional-location.hbs b/app/templates/location/-regional-location.hbs index 845a210f..850d9914 100755 --- a/app/templates/location/-regional-location.hbs +++ b/app/templates/location/-regional-location.hbs @@ -87,7 +87,7 @@
    - +
    {{ @@ -131,7 +131,7 @@
    - +
    {{ @@ -249,7 +249,7 @@
    - +
    @@ -287,7 +287,7 @@ {{/if}} -
    @@ -38,6 +44,6 @@ {{/each}}
    -
    +
    {{/if}} diff --git a/app/templates/location/-department-dotplots.hbs b/app/templates/location/-department-dotplots.hbs index cac00edf..b5df3f74 100755 --- a/app/templates/location/-department-dotplots.hbs +++ b/app/templates/location/-department-dotplots.hbs @@ -1,4 +1,4 @@ -
    +
    +
    +
    + {{#if description }} +

    {{description}}

    + {{/if}} +
    +
    @@ -179,7 +186,9 @@
    - +
    +

    DEPARMENT

    + diff --git a/app/templates/location/-municipality-dotplots.hbs b/app/templates/location/-municipality-dotplots.hbs index 78f596dc..530cea0e 100644 --- a/app/templates/location/-municipality-dotplots.hbs +++ b/app/templates/location/-municipality-dotplots.hbs @@ -1,4 +1,13 @@ +
    +
    +
    + {{#if description }} +

    {{description}}

    + {{/if}} +
    + +
    @@ -60,6 +69,8 @@ +

    MUNICIPALITY

    +
    diff --git a/app/templates/location/-questions.hbs b/app/templates/location/-questions.hbs index 5258a009..9640a7bd 100755 --- a/app/templates/location/-questions.hbs +++ b/app/templates/location/-questions.hbs @@ -135,6 +135,7 @@ + diff --git a/app/templates/location/-regional-location.hbs b/app/templates/location/-regional-location.hbs index 850d9914..e402ef69 100755 --- a/app/templates/location/-regional-location.hbs +++ b/app/templates/location/-regional-location.hbs @@ -11,7 +11,15 @@ agcensusLastYear=agcensusLastYear }} +{{#if isDepartment }} + {{partial 'location/department-dotplots'}} +{{else if isMsa}} + {{partial 'location/subregion-dotplots'}} +{{else if isMunicipality}} + {{partial 'location/municipality-dotplots'}} +{{/if}} + -
    - -
    - -
    - -
    - -
    -
    - {{ - zoomable-treemap - data=productsData - varDependent='export_value' - elementId='zoomable-export-value-treemap' - class="position-relative" - filterCategory=true - }} -
    -
    - -
    -
    - {{ - zoomable-treemap - data=productsData - varDependent='import_value' - elementId='zoomable-import-value-treemap' - class="position-relative" - filterCategory=true - }} -
    -
    - -
    -
    - {{ - zoomable-treemap - data=lastIndustryData - varDependent='employment' - elementId='zoomable-employment-treemap' - class="position-relative" - filterCategory=true - }} -
    -
    - -
    -
    - {{ - zoomable-treemap - data=industriesData - varDependent='wages' - elementId='zoomable-wages-treemap' - class="position-relative" - filterCategory=true - }} -
    -
    - -
    -
    - -
    -
    -

    ALTO NIVEL DE COMPLEJIDAD

    -
    -
    -

    BAJO NIVEL DE COMPLEJIDAD

    -
    -
    - - -
    - {{vistk-network - data=productsData - immutableData=productsData - elementId='product-space' - dataType='products' - metadata=model.metaData - varDependent='export_value' - graph=productSpace - height=600 - delay=3500 - showMiddle=true - }} -
    - -
    - {{ - category-buttons - data=productsData - immutableData=productsData - }} -
    - -
    - -
    - -
    -
    - {{vistk-network - data=lastIndustryData - immutableData=lastIndustryData - elementId='industry-space' - dataType='industries' - graph=industrySpace - height=600 - delay=2000 - }} -
    -
    - {{ - category-buttons - data=lastIndustryData - immutableData=lastIndustryData - }} -
    -
    - -
    - -
    + + + + {{/each}} + +
    +{{/if}} \ No newline at end of file diff --git a/app/templates/location/-department-dotplots.hbs b/app/templates/location/-department-dotplots.hbs index b5df3f74..4d001aac 100755 --- a/app/templates/location/-department-dotplots.hbs +++ b/app/templates/location/-department-dotplots.hbs @@ -190,5 +190,163 @@ -

    DEPARMENT

    +
    + +
    + +
    + +
    + +
    +
    + {{ + zoomable-treemap + data=lastProductsData + inmutableData=lastProductsData + varDependent='export_value' + elementId='zoomable-export-value-treemap' + class="position-relative" + filterCategory=true + toolTips="rca,complexity" + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=lastProductsData + inmutableData=lastProductsData + varDependent='import_value' + elementId='zoomable-import-value-treemap' + class="position-relative" + filterCategory=true + toolTips="rca,complexity" + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=lastIndustryData + inmutableData=lastIndustryData + varDependent='employment' + elementId='zoomable-employment-treemap' + class="position-relative" + filterCategory=true + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=lastIndustryData + inmutableData=lastIndustryData + varDependent='wages' + elementId='zoomable-wages-treemap' + class="position-relative" + filterCategory=true + }} +
    +
    + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    + + +
    + {{vistk-network + data=lastProductsData + immutableData=lastProductsData + elementId='product-space' + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + }} +
    + +
    + +
    + +
    +
    + {{vistk-network + data=lastIndustryData + immutableData=lastIndustryData + elementId='industry-space' + dataType='industries' + metadata=model.metaData + varDependent='wages' + graph=industrySpace + height=600 + delay=2000 + filterCategory=true + title="SECTORES" + subtitle="LOS PRODUCTOS" + }} +
    +
    + +
    + +
    diff --git a/app/templates/location/-municipality-dotplots.hbs b/app/templates/location/-municipality-dotplots.hbs index 530cea0e..c3d1a0e4 100644 --- a/app/templates/location/-municipality-dotplots.hbs +++ b/app/templates/location/-municipality-dotplots.hbs @@ -69,14 +69,165 @@ -

    MUNICIPALITY

    +
    +
    + +
    + +
    + +
    +
    + {{ + zoomable-treemap + data=lastProductsData + inmutableData=lastProductsData + varDependent='export_value' + elementId='zoomable-export-value-treemap' + class="position-relative" + filterCategory=true + toolTips="rca,complexity" + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=lastProductsData + inmutableData=lastProductsData + varDependent='import_value' + elementId='zoomable-import-value-treemap' + class="position-relative" + filterCategory=true + toolTips="rca,complexity" + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=lastIndustryData + inmutableData=lastIndustryData + varDependent='employment' + elementId='zoomable-employment-treemap' + class="position-relative" + filterCategory=true + }} +
    +
    + +
    +
    + {{ + zoomable-treemap + data=lastIndustryData + inmutableData=lastIndustryData + varDependent='wages' + elementId='zoomable-wages-treemap' + class="position-relative" + filterCategory=true + }} +
    +
    + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    + + +
    + {{vistk-network + data=lastProductsData + immutableData=lastProductsData + elementId='product-space' + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + type="productSpace" + }} +
    + +
    + +
    + +
    +
    + {{vistk-network + data=lastIndustryData + immutableData=lastIndustryData + elementId='industry-space' + dataType='industries' + metadata=model.metaData + varDependent='export_value' + graph=industrySpace + height=600 + delay=2000 + filterCategory=true + title="SECTORES" + subtitle="LOS PRODUCTOS" + type="industrySpace" + }} +
    +
    + +
    + +
    diff --git a/app/templates/location/-questions.hbs b/app/templates/location/-questions.hbs index 9640a7bd..4cecbc9a 100755 --- a/app/templates/location/-questions.hbs +++ b/app/templates/location/-questions.hbs @@ -15,7 +15,7 @@
    - {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear search='null') + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear search=null) class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.industries.employment.' model.level)}} {{/link-to}} @@ -23,7 +23,7 @@
    - {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params endDate=lastYear startDate=lastYear search='null') + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params endDate=lastYear startDate=lastYear search=null) class="builder__questions__question" }} {{t (is-concat 'graph_builder.page_title.location.industries.wages.' model.level)}} {{/link-to}} diff --git a/app/templates/location/-subregion-dotplots.hbs b/app/templates/location/-subregion-dotplots.hbs index c3ed0228..a23ee783 100755 --- a/app/templates/location/-subregion-dotplots.hbs +++ b/app/templates/location/-subregion-dotplots.hbs @@ -100,8 +100,8 @@
    {{ zoomable-treemap - data=productsData - inmutableData=productsData + data=lastProductsData + inmutableData=lastProductsData varDependent='export_value' elementId='zoomable-export-value-treemap' class="position-relative" @@ -115,8 +115,8 @@
    {{ zoomable-treemap - data=productsData - inmutableData=productsData + data=lastProductsData + inmutableData=lastProductsData varDependent='import_value' elementId='zoomable-import-value-treemap' class="position-relative" @@ -144,8 +144,8 @@
    {{ zoomable-treemap - data=industriesData - inmutableData=industriesData + data=lastIndustryData + inmutableData=lastIndustryData varDependent='wages' elementId='zoomable-wages-treemap' class="position-relative" @@ -169,8 +169,8 @@
    {{vistk-network - data=productsData - immutableData=productsData + data=lastProductsData + immutableData=lastProductsData elementId='product-space' dataType='products' metadata=model.metaData @@ -179,6 +179,10 @@ height=600 delay=3500 showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + type="productSpace" }}
    @@ -193,9 +197,15 @@ immutableData=lastIndustryData elementId='industry-space' dataType='industries' + metadata=model.metaData + varDependent='export_value' graph=industrySpace height=600 delay=2000 + filterCategory=true + title="SECTORES" + subtitle="LOS PRODUCTOS" + type="industrySpace" }}
    @@ -204,8 +214,6 @@
    -

    SUBREGION

    - {{/if}} diff --git a/app/templates/components/vistk-network.hbs b/app/templates/components/vistk-network.hbs index 37630619..648d80d9 100644 --- a/app/templates/components/vistk-network.hbs +++ b/app/templates/components/vistk-network.hbs @@ -34,4 +34,11 @@ {{/each}}
    +{{/if}} + +{{#if canFilterVcr }} +
    + + +
    {{/if}} \ No newline at end of file diff --git a/app/templates/components/vistk-scatterplot.hbs b/app/templates/components/vistk-scatterplot.hbs new file mode 100644 index 00000000..648d80d9 --- /dev/null +++ b/app/templates/components/vistk-scatterplot.hbs @@ -0,0 +1,44 @@ +
    + +
    +{{#if filterCategory }} +
    + +
    +

    {{title}}

    +

    {{subtitle}}

    +
    + + {{#each category in categoriesObject}} + +
    +
    +

    {{category.name}}

    + +
    + + + + + +
    + +
    + + + + +
    + + + {{/each}} +
    +
    +{{/if}} + +{{#if canFilterVcr }} +
    + + +
    +{{/if}} \ No newline at end of file diff --git a/app/templates/location/-department-dotplots-abstract.hbs b/app/templates/location/-department-dotplots-abstract.hbs new file mode 100644 index 00000000..8c75bb65 --- /dev/null +++ b/app/templates/location/-department-dotplots-abstract.hbs @@ -0,0 +1,202 @@ +
    + +
    +
    +
    +

    {{t 'location.show.overview'}}

    +
    +
    +
    + +
    + +
    + + {{t 'location.show.bullet.gdp_pc' name=model.name lastGdpPerCapita=model.lastGdpPerCapita}} +
    + +
    + + {{t 'location.show.bullet.last_pop' lastPop=model.lastPop}} +
    + +
    + +
    +
    + +
    + +
    +
    +
    + {{#if description }} +

    {{description}}

    + {{/if}} +
    + +
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    {{t 'location.show.value'}}
    +
    {{t 'rankings.table-title'}}
    +     		{{t 'location.show.all_departments'}}
    {{t 'location.show.gdp_pc'}} ({{model.censusYear}}) + {{model.lastGdpPerCapita}} + {{table-rank rank=model.gdpPerCapitaRank}} + + {{vistk-dotplot + elementId='dotplot--gdp-pc' + data=dotplotData + varX='gdp_pc_real' + varText='name' + varId='department_id' + currentSelection=locationId + }} +
    {{t 'location.show.gdp'}} ({{model.censusYear}}) + {{model.lastGdp}} + {{table-rank rank=model.gdpRank}} + + {{vistk-dotplot + elementId='dotplot--gdp' + data=dotplotData + varX='gdp_real' + varText='name' + varId='department_id' + currentSelection=locationId + }} +
    {{t 'location.show.population'}} ({{model.censusYear}}) + {{model.lastPop}} + {{table-rank rank=model.populationRank}} + + {{vistk-dotplot + elementId='dotplot--population' + data=dotplotData + varX='population' + varText='name' + varId='department_id' + type='population' + currentSelection=locationId + }} +
    {{t 'location.show.eci'}} ({{model.lastYear}}) + {{model.lastEci}} + {{table-rank rank=model.eciRank}} + + {{vistk-dotplot + elementId='dotplot--eci' + data=dotplotData + varX='eci' + varText='name' + varId='department_id' + type='eci' + currentSelection=locationId + }} +
    {{t 'location.show.ag_farmsize'}} + {{model.agFarmsize}} + {{table-rank rank=model.agFarmsizeRank}} + + {{vistk-dotplot + elementId='dotplot--agfarmsizes' + data=model.agFarmsizesData + varX='avg_farmsize' + varId='location_id' + type='farmsize' + currentSelection=locationId + }} +
    {{t 'location.show.nonag_farmsize'}} + {{model.nonagFarmsize}} + {{table-rank rank=model.nonagFarmsizeRank}} + + {{vistk-dotplot + elementId='dotplot--nonagfarmsizes' + data=model.nonagFarmsizesData + varX='avg_farmsize' + varId='location_id' + type='farmsize' + currentSelection=locationId + }} +
    {{t 'location.show.yield_index'}} ({{agproductLastYear}}) + {{model.yieldIndex}} + {{table-rank rank=model.yieldIndexRank}} + + {{vistk-dotplot + elementId='dotplot--yieldindex' + data=model.yieldData + varX='yield_index' + varText='name' + varId='department_id' + type='decimal' + currentSelection=locationId + }} +
    +
    + + +
    + + +
    +
    + {{#link-to 'location.route' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    diff --git a/app/templates/location/-municipality-dotplots-abstract.hbs b/app/templates/location/-municipality-dotplots-abstract.hbs new file mode 100644 index 00000000..64183f44 --- /dev/null +++ b/app/templates/location/-municipality-dotplots-abstract.hbs @@ -0,0 +1,80 @@ + +
    +
    +
    + {{#if description }} +

    {{description}}

    + {{/if}} +
    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    {{t 'location.show.value'}}
    +
    {{t 'rankings.table-title'}}
    +     		{{t 'location.show.all_departments'}}
    {{t 'location.show.ag_farmsize'}} + {{model.agFarmsize}} + {{table-rank rank=model.agFarmsizeRank}} + + {{vistk-dotplot + elementId='dotplot--agfarmsizes' + data=model.agFarmsizesData + varX='avg_farmsize' + varId='location_id' + type='decimal' + currentSelection=locationId + }} +
    {{t 'location.show.nonag_farmsize'}} + {{model.nonagFarmsize}} + {{table-rank rank=model.nonagFarmsizeRank}} + + {{vistk-dotplot + elementId='dotplot--nonagfarmsizes' + data=model.nonagFarmsizesData + varX='avg_farmsize' + varId='location_id' + type='decimal' + currentSelection=locationId + }} +
    + +
    +
    + +
    +
    + {{#link-to 'location.route' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/location/-regional-location-abstract.hbs b/app/templates/location/-regional-location-abstract.hbs new file mode 100644 index 00000000..c4286c1f --- /dev/null +++ b/app/templates/location/-regional-location-abstract.hbs @@ -0,0 +1,7 @@ +{{#if isDepartment }} + {{partial 'location/department-dotplots-abstract'}} +{{else if isMsa}} + {{partial 'location/subregion-dotplots-abstract'}} +{{else if isMunicipality}} + {{partial 'location/municipality-dotplots-abstract'}} +{{/if}} \ No newline at end of file diff --git a/app/templates/location/-regional-location-imports.hbs b/app/templates/location/-regional-location-imports.hbs new file mode 100644 index 00000000..6c5c42b0 --- /dev/null +++ b/app/templates/location/-regional-location-imports.hbs @@ -0,0 +1,247 @@ +
    +
    + +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    + +
    + +
    +
    + +
    + +
    +

    Importaciones

    +
    + +
    +
    + +
    +
    +
    + + + +
    + +
    +
    + +
    +
    + {{ + zoomable-treemap + data=filteredProductsData + immutableData=filteredProductsData + varDependent='import_value' + elementId='zoomable-export-value-treemap' + class="position-relative" + color='pink' + filterCategory=true + toolTips="rca" + }} +
    + +
    + +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    +
    + +
    +
    + +
    +
    + {{ + zoomable-treemap + data=filteredPartnersData + immutableData=filteredPartnersData + varDependent='import_value' + elementId='zoomable-export-value-treemap-partner' + class="position-relative" + color='pink' + filterCategory=true + }} +
    + +
    + +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    + +
    + +
    +
    +
    + +
    + + +
    +
    +
    +

    Productos que más importa {{model.name}}

    +
    + +
    + {{ + datlas-table + data=filteredProductsDataTop5Import + source='productsImports' + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="productssourceTable" + order=filteredProductsDataTop5ImportOrder + }} +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    + + +
    +
    +

    Paises de donde más importa {{model.name}}

    +
    + +
    + {{ + datlas-table + data=filteredPartnersDataTop5Import + source='partnersExports' + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="partnerssourceTable" + order=filteredPartnersDataTop5ImportOrder + }} +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    + + +
    + + +
    + +
    +
    + + +
    +
    + +
    +
    + {{#link-to 'location.productmap' model.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    + {{#link-to 'location.locationwages' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/location/-regional-location-route.hbs b/app/templates/location/-regional-location-route.hbs index 6ea7fb3c..7b6da591 100644 --- a/app/templates/location/-regional-location-route.hbs +++ b/app/templates/location/-regional-location-route.hbs @@ -44,6 +44,10 @@
    +
    +

    Exportaciones

    +
    +
    @@ -96,7 +100,8 @@ {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') class="btn btn-outline-secondary" }} - VER MAS + + VER MAS {{/link-to}}
    @@ -128,7 +133,8 @@ {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') class="btn btn-outline-secondary" }} - VER MAS + + VER MAS {{/link-to}}
    @@ -153,13 +159,14 @@
    {{ datlas-table - data=filteredProductsData - source='products' + data=filteredProductsDataTop5Export + source='productsExports' entityType='' search=search startDate=startDate endDate=endDate elementId="productssourceTable" + order=filteredProductsDataTop5ExportOrder }}
    @@ -168,7 +175,8 @@ {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') class="btn btn-outline-secondary" }} - VER MAS + + VER MAS {{/link-to}}
    @@ -178,19 +186,20 @@
    -

    Paises donde más exporta {{model.name}}

    +

    Paises a donde más exporta {{model.name}}

    {{ datlas-table - data=filteredPartnersData - source='partners' + data=filteredPartnersDataTop5Export + source='partnersExports' entityType='' search=search startDate=startDate endDate=endDate elementId="partnerssourceTable" + order=filteredPartnersDataTop5ExportOrder }}
    @@ -199,7 +208,8 @@ {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null') class="btn btn-outline-secondary" }} - VER MAS + + VER MAS {{/link-to}}
    @@ -221,7 +231,7 @@
    - {{#link-to 'location.visualization' model.id 'products' 'scatter' 'opportunity' (query-params startDate=startDate endDate=startDate search='null') + {{#link-to 'location.productmap' model.id class="btn btn-outline-secondary" }} SIGUIENTE diff --git a/app/templates/location/-regional-location-wages.hbs b/app/templates/location/-regional-location-wages.hbs new file mode 100644 index 00000000..2b98a064 --- /dev/null +++ b/app/templates/location/-regional-location-wages.hbs @@ -0,0 +1,247 @@ +
    +
    + +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    + +
    + +
    +
    + +
    + +
    +

    Empleo formal y salarios

    +
    + +
    +
    + +
    +
    +
    + + + +
    + +
    +
    + +
    +
    + {{ + zoomable-treemap + data=filteredIndustriesData + immutableData=filteredIndustriesData + varDependent='employment' + elementId='zoomable-export-value-treemap' + class="position-relative" + color='pink' + filterCategory=true + toolTips="rca" + }} +
    + +
    + +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    +
    + +
    +
    + +
    +
    + {{ + zoomable-treemap + data=filteredIndustriesData + immutableData=filteredIndustriesData + varDependent='wages' + elementId='zoomable-export-value-treemap-partner' + class="position-relative" + color='pink' + filterCategory=true + }} +
    + +
    + +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    + +
    + +
    +
    +
    + +
    + + +
    +
    +
    +

    Top 5 Sectores que más generan empleo en {{model.name}}

    +
    + +
    + {{ + datlas-table + data=filteredIndustriesDataTop5Employment + source='industriesTop' + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="productssourceTable" + order=filteredIndustriesDataTop5EmploymentOrder + }} +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    + + +
    +
    +

    Top 5 Sectores con mayores nominas salariales en {{model.name}}

    +
    + +
    + {{ + datlas-table + data=filteredIndustriesDataTop5Wages + source='industriesTop' + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="partnerssourceTable" + order=filteredIndustriesDataTop5WagesOrder + }} +
    + +
    +
    + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    + + +
    + + +
    + +
    +
    + + +
    +
    + +
    +
    + {{#link-to 'location.productmap' model.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    + {{#link-to 'location.locationwages' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/location/-subregion-dotplots-abstract.hbs b/app/templates/location/-subregion-dotplots-abstract.hbs new file mode 100644 index 00000000..cea74f05 --- /dev/null +++ b/app/templates/location/-subregion-dotplots-abstract.hbs @@ -0,0 +1,63 @@ +
    + +
    +
    + {{#if description }} +

    {{description}}

    + {{/if}} +
    + +
    +
    + + + + + + + + + + + + + + + + + + + + + +
    +
    {{t 'location.show.value'}}
    +
    {{t 'rankings.table-title'}}
    +     		{{t 'location.show.all_regions'}}
    {{t 'location.show.eci'}} ({{model.lastYear}}) + {{model.lastEci}} + {{table-rank rank=model.eciRank}} + + {{vistk-dotplot + elementId='dotplot--eci' + data=dotplotData + varX='eci' + varText='name' + varId='location_id' + type='eci' + currentSelection=locationId + }} +
    + +
    + +
    + +
    +
    + {{#link-to 'location.route' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/location/abstract.hbs b/app/templates/location/abstract.hbs new file mode 100644 index 00000000..e0cdee72 --- /dev/null +++ b/app/templates/location/abstract.hbs @@ -0,0 +1,16 @@ +{{component "stream-header" + model=model + type="location" + metaData=model.metaData + firstYear=firstYear + lastYear=lastYear + agproductFirstYear=agproductFirstYear + agproductLastYear=agproductLastYear + agcensusFirstYear=agcensusFirstYear + agcensusLastYear=agcensusLastYear +}} +{{#if isCountry }} + {{partial 'location/country-location-abstract'}} +{{else}} + {{partial 'location/regional-location-abstract'}} +{{/if}} diff --git a/app/templates/location/locationimports.hbs b/app/templates/location/locationimports.hbs new file mode 100644 index 00000000..74be8541 --- /dev/null +++ b/app/templates/location/locationimports.hbs @@ -0,0 +1,17 @@ +{{component "stream-header" + model=model + type="location" + extra_type="location_route" + metaData=model.metaData + firstYear=firstYear + lastYear=lastYear + agproductFirstYear=agproductFirstYear + agproductLastYear=agproductLastYear + agcensusFirstYear=agcensusFirstYear + agcensusLastYear=agcensusLastYear +}} +{{#if isCountry }} + {{partial 'location/country-location-route'}} +{{else}} + {{partial 'location/regional-location-imports'}} +{{/if}} \ No newline at end of file diff --git a/app/templates/location/locationwages.hbs b/app/templates/location/locationwages.hbs new file mode 100644 index 00000000..c41a0206 --- /dev/null +++ b/app/templates/location/locationwages.hbs @@ -0,0 +1,17 @@ +{{component "stream-header" + model=model + type="location" + extra_type="location_route" + metaData=model.metaData + firstYear=firstYear + lastYear=lastYear + agproductFirstYear=agproductFirstYear + agproductLastYear=agproductLastYear + agcensusFirstYear=agcensusFirstYear + agcensusLastYear=agcensusLastYear +}} +{{#if isCountry }} + {{partial 'location/country-location-route'}} +{{else}} + {{partial 'location/regional-location-wages'}} +{{/if}} \ No newline at end of file diff --git a/app/templates/location/productmap.hbs b/app/templates/location/productmap.hbs new file mode 100644 index 00000000..6768d92c --- /dev/null +++ b/app/templates/location/productmap.hbs @@ -0,0 +1,20 @@ +
    +

    CASO 22

    +
    + +
    +
    + {{#link-to 'location.route' model.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    + {{#link-to 'location.locationimports' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/location/productmapdecentralized.hbs b/app/templates/location/productmapdecentralized.hbs new file mode 100644 index 00000000..00c82f8a --- /dev/null +++ b/app/templates/location/productmapdecentralized.hbs @@ -0,0 +1,11 @@ +

    CASO 23

    + +
    +
    + {{#link-to 'location.productmap' model.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 0f978e64..2ba9b360 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -102,6 +102,7 @@ canUpdateBuildermodSearchService=canUpdateBuildermodSearchService filterCategory=canFilterCategory resetFilter=resetFilter + canFilterVcr=canFilterVcr }}
    @@ -151,13 +152,47 @@ {{/if}} {{#if (is-equal entityType "location")}} -
    -
    - {{#link-to 'location.route' model.entity.id class="btn btn-outline-secondary"}} - ANTERIOR - {{/link-to}} + + {{#if (is-equal variable "export_value")}} +
    +
    + {{#link-to 'location.route' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    -
    + {{/if}} + + {{#if (is-equal variable "import_value")}} +
    +
    + {{#link-to 'location.locationimports' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + + {{#if (is-equal variable "employment")}} +
    +
    + {{#link-to 'location.locationwages' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + + {{#if (is-equal variable "wages")}} +
    +
    + {{#link-to 'location.locationwages' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + {{/if}}
    diff --git a/public/assets/img/graphicons/ico_scatter.svg b/public/assets/img/graphicons/ico_scatter.svg new file mode 100644 index 00000000..6fb256d2 --- /dev/null +++ b/public/assets/img/graphicons/ico_scatter.svg @@ -0,0 +1,50 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/assets/img/graphicons/ico_similarity.svg b/public/assets/img/graphicons/ico_similarity.svg new file mode 100644 index 00000000..d9bbfd3b --- /dev/null +++ b/public/assets/img/graphicons/ico_similarity.svg @@ -0,0 +1,12 @@ + + + + + + + + + + + + From 377e4738ea7f8100d95b92230375ced429ca41e1 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sat, 11 Sep 2021 11:59:23 -0500 Subject: [PATCH 025/126] Release 0.10 --- app/components/autocomplete-input-datlas.js | 11 +- app/controllers/index.js | 6 + app/controllers/product/abstract.js | 112 ++++++++++ app/controllers/search.js | 5 +- app/locales/es-col/translations.js | 8 + app/router.js | 2 + app/routes/product/abstract.js | 81 +++++++ app/templates/index.hbs | 4 +- app/templates/product/abstract.hbs | 221 ++++++++++++++++++++ app/templates/product/show.hbs | 209 ------------------ app/templates/visualization.hbs | 28 ++- 11 files changed, 465 insertions(+), 222 deletions(-) create mode 100644 app/controllers/product/abstract.js create mode 100644 app/routes/product/abstract.js create mode 100644 app/templates/product/abstract.hbs diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js index f273f0f4..858fdc20 100644 --- a/app/components/autocomplete-input-datlas.js +++ b/app/components/autocomplete-input-datlas.js @@ -12,6 +12,7 @@ export default Ember.Component.extend({ transitionLocationRoute: 'transitionLocationRoute', transitionIndustry: 'transitionIndustry', transitionLocationProducts: 'transitionLocationProducts', + transitionProductsRoute: 'transitionProductsRoute', transitionAgproduct: 'transitionAgproduct', transitionLivestock: 'transitionLivestock', transitionNonag: 'transitionNonag', @@ -25,6 +26,8 @@ export default Ember.Component.extend({ var data = this.get('data_search') var placeholder = this.get("placeHolder") + console.log(type) + if(placeholder === null){ @@ -67,8 +70,8 @@ export default Ember.Component.extend({ self.sendAction('transitionLocationRoute', id); } else if (type === 'industry') { self.sendAction('transitionIndustry', id); - } else if (type === 'location-product') { - self.sendAction('transitionLocationProducts', id); + } else if (type === 'products_route') { + self.sendAction('transitionProductsRoute', id); } else if (type === 'rural') { var key = $(`#${id_select}`).find(':selected').data("key").replace('-', '') @@ -147,8 +150,8 @@ export default Ember.Component.extend({ self.sendAction('transitionLocationRoute', id); } else if (type === 'industry') { self.sendAction('transitionIndustry', id); - } else if (type === 'location-product') { - self.sendAction('transitionLocationProducts', id); + } else if (type === 'products_route') { + self.sendAction('transitionProductsRoute', id); } else if (type === 'rural') { var key = $(`#${id_select}`).find(':selected').data("key").replace('-', '') diff --git a/app/controllers/index.js b/app/controllers/index.js index 7acc7904..20092ecc 100644 --- a/app/controllers/index.js +++ b/app/controllers/index.js @@ -162,12 +162,18 @@ export default Ember.Controller.extend({ transitionLocationSearch() { this.transitionToRoute('search', {queryParams: { filter: 'location' }}); }, + transitionLocationRouteSearch() { + this.transitionToRoute('search', {queryParams: { filter: 'locations_route' }}); + }, transitionProduct(id) { this.transitionToRoute('product.show', id); }, transitionProductSearch() { this.transitionToRoute('search',{queryParams: { filter: 'product' }}); }, + transitionProductRouteSearch() { + this.transitionToRoute('search',{queryParams: { filter: 'products_route' }}); + }, transitionIndustry(id) { this.transitionToRoute('industry.show', id); }, diff --git a/app/controllers/product/abstract.js b/app/controllers/product/abstract.js new file mode 100644 index 00000000..96fe5e28 --- /dev/null +++ b/app/controllers/product/abstract.js @@ -0,0 +1,112 @@ +import Ember from 'ember'; +const {computed} = Ember; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + queryParams: ['year'], + + startDate: null, + endDate: null, + rangeYears: computed('firstYear', 'lastYear', function(){ + + this.set('startDate', this.get("lastYear")); + this.set('endDate', this.get("lastYear")); + + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + entityType: "product", + source: "products", + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataLocationsTop5Export: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + exportDataCities: computed('model.data', 'startDate', function (){ + return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); + }), + + + filteredDataCitiesTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + + exportDataPartners: computed('model.data', 'startDate', function (){ + return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataPartnersTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + actions: { + setStartYear(){ + + var year = parseInt($("#selectYear").val()); + + this.set('startDate', year); + this.set('endDate', year); + } + } +}); + + diff --git a/app/controllers/search.js b/app/controllers/search.js index dd2f025e..5893e80f 100644 --- a/app/controllers/search.js +++ b/app/controllers/search.js @@ -21,7 +21,7 @@ export default Ember.Controller.extend({ model = {"location": model.location} } - if(filter === "product_route"){ + if(filter === "products_route"){ model = {"product": model.product} } @@ -189,6 +189,9 @@ export default Ember.Controller.extend({ transitionLocationRoute(id) { this.transitionToRoute('location.abstract', id); }, + transitionProductsRoute(id) { + this.transitionToRoute('product.abstract', id); + }, transitionIndustry(id) { this.transitionToRoute('industry.show', id); }, diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index f943a7e4..a1207629 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -705,6 +705,10 @@ export default { "search.modal.p1.product": "Partida arancelaria: Clasificación numérica internacional que identifica las mercancias dentro del Sistema Armonizado en Colombia, la DIAN determina estas clasificaciones.

    ", "search.modal.link.product": "https://muisca.dian.gov.co/WebArancel/DefConsultaEstructuraArancelaria.faces#", + "search.modal.title.products_route": "Búsqueda", + "search.modal.p1.products_route": "Partida arancelaria: Clasificación numérica internacional que identifica las mercancias dentro del Sistema Armonizado en Colombia, la DIAN determina estas clasificaciones.

    ", + "search.modal.link.products_route": "https://muisca.dian.gov.co/WebArancel/DefConsultaEstructuraArancelaria.faces#", + "search.rural.agproduct": "Producto Agrícola", "search.rural.land-use": "Uso de Suelo", "search.rural.nonag": "Actividades no Agropecuarias", @@ -731,6 +735,10 @@ export default { "search.product.subtitle": "Nombre de producto o partida arancelaria", "search.product.body": "En el siguiente campo usted podra realizar una búsqueda por nombre de producto o codigo de partida arancelaria.

    Haga uso del interrogante para ampliar la información.", + "search.products_route.title": "Búsqueda por", + "search.products_route.subtitle": "Nombre de producto o partida arancelaria", + "search.products_route.body": "En el siguiente campo usted podra realizar una búsqueda por nombre de producto o codigo de partida arancelaria.

    Haga uso del interrogante para ampliar la información.", + "table.export_data": "Descargar Datos", "thousands_delimiter": ".", diff --git a/app/router.js b/app/router.js index 23d1660b..4f36d67d 100644 --- a/app/router.js +++ b/app/router.js @@ -24,6 +24,8 @@ export default Router.map(function() { // Profiles this.resource('product', { path: 'product'}, function() { this.route('show', { path: ':product_id'}); + this.route('abstract', { path: ':product_id/abstract/'}); + this.route('visualization', { path: ':product_id/source/:source_type/visualization/:visualization_type/:variable'}); }); this.resource('location', { path: 'location'}, function() { diff --git a/app/routes/product/abstract.js b/app/routes/product/abstract.js new file mode 100644 index 00000000..1c01d790 --- /dev/null +++ b/app/routes/product/abstract.js @@ -0,0 +1,81 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + product_id: null, + + model(params) { + let {product_id} = params; + set(this, 'product_id', product_id); + + let hash = { + model: this.store.find('product', product_id), + locations: $.getJSON(`${apiURL}/data/product/${product_id}/exporters?level=department`), + cities: $.getJSON(`${apiURL}/data/product/${product_id}/exporters?level=msa`), + partners: $.getJSON(`${apiURL}/data/product/${product_id}/partners?level=country`) + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, locations, cities, partners} = hash; + let locationsMetadata = this.modelFor('application').locations; + let partnersMetadata = this.modelFor('application').partnerCountries; + + let locationsData = _.map(locations.data, (d) => { + let location = locationsMetadata[d.department_id]; + let department = copy(d); + return _.merge(department, location, {model: 'location'}); + }); + + let citiesData = _.map(cities.data, (d) => { + let location = locationsMetadata[d.msa_id]; + let city = copy(d); + let result = _.merge( + city, location, + { + model: 'location', + parent_name_en: locationsMetadata[location.parent_id].name_short_en, + parent_name_es: locationsMetadata[location.parent_id].name_short_es, + } + ); + return result; + }); + + let partnersData = _.map(partners.data, (d) => { + let country = partnersMetadata[d.country_id]; + let parent = partnersMetadata[country.parent_id]; + let partner = copy(d); + partner.parent_name_en = parent.name_en; + partner.parent_name_es = parent.name_es; + partner.group = parent.id; + d.model = null; + return _.merge(partner, parent, country); + }); + + return Ember.Object.create({ + entity: model, + locationsData: locationsData, + citiesData: citiesData, + partnersData: partnersData + }); + }, + setupController(controller, model) { + this._super(controller, model); + window.scrollTo(0, 0); + }, +}); diff --git a/app/templates/index.hbs b/app/templates/index.hbs index 82822264..1a2e652b 100755 --- a/app/templates/index.hbs +++ b/app/templates/index.hbs @@ -102,7 +102,7 @@

    ¿Quiere conocer más acerca de la sofisticación y diversificación de un lugar?

    - +
    @@ -112,7 +112,7 @@

    ¿Quiere conocer más acerca de la sofisticación y diversificación de un producto?

    - + diff --git a/app/templates/product/abstract.hbs b/app/templates/product/abstract.hbs new file mode 100644 index 00000000..3d2458d4 --- /dev/null +++ b/app/templates/product/abstract.hbs @@ -0,0 +1,221 @@ +{{component "stream-header" model=modelData type='product' firstYear=firstYear lastYear=lastYear}} + +
    +
    + +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    + +
    + +
    + + +
    + +
    +
    +

    EXPORTACIONES PARA EL AÑO {{startDate}}

    +
    + + +
    +

    Departamentos en Colombia que más exportan el producto {{startDate}}

    +
    + +
    + {{ + datlas-table + data=filteredDataLocationsTop5Export + source="exportsDepartments" + entityType=entityType + search='' + startDate=startDate + endDate=endDate + elementId="productssourceTable" + order=filteredDataLocationsTop5ExportOrder + }} +
    +
    +
    + {{#link-to 'product.visualization' modelData.id 'departments' 'geo' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    +

    Ciudades en Colombia que más exportan el producto {{startDate}}

    +
    + +
    + {{ + datlas-table + data=filteredDataCitiesTop5Export + source="exportsCities" + entityType=entityType + search='' + startDate=startDate + endDate=endDate + elementId="productssourceTable2" + order=filteredDataCitiesTop5ExportOrder + }} +
    + +
    +
    + {{#link-to 'product.visualization' modelData.id 'cities' 'multiples' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + + +
    +

    Países a donde más se exporta el producto {{startDate}}

    +
    + +
    + {{ + datlas-table + data=filteredDataPartnersTop5Export + source="exportPartners" + entityType=entityType + search='' + startDate=startDate + endDate=endDate + elementId="productssourceTable21" + order=filteredDataPartnersTop5ExportOrder + }} +
    +
    +
    + {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    +

    IMPORTACIONES PARA EL AÑO {{startDate}}

    +
    + +
    +

    Departamentos en Colombia que más importan el producto {{startDate}}

    +
    + +
    + {{ + datlas-table + data=filteredDataLocationsTop5Import + source="importsDepartments" + entityType=entityType + search='' + startDate=startDate + endDate=endDate + elementId="productssourceTable3" + order=filteredDataLocationsTop5ImportOrder + }} +
    + +
    +
    + {{#link-to 'product.visualization' modelData.id 'departments' 'geo' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    +

    Ciudades en Colombia que más importan el producto {{startDate}}

    +
    + +
    + {{ + datlas-table + data=filteredDataCitiesTop5Import + source="importsCities" + entityType=entityType + search='' + startDate=startDate + endDate=endDate + elementId="productssourceTable4" + order=filteredDataCitiesTop5ImportOrder + }} +
    + +
    +
    + {{#link-to 'product.visualization' modelData.id 'cities' 'multiples' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    +

    Países de donde más se importa el producto {{startDate}}

    +
    + +
    + {{ + datlas-table + data=filteredDataPartnersTop5Import + source="importPartners" + entityType=entityType + search='' + startDate=startDate + endDate=endDate + elementId="productssourceTable212" + order=filteredDataPartnersTop5ImportOrder + }} +
    + +
    +
    + {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    +
    + +
    + +
    diff --git a/app/templates/product/show.hbs b/app/templates/product/show.hbs index e500533d..3ea20957 100755 --- a/app/templates/product/show.hbs +++ b/app/templates/product/show.hbs @@ -9,212 +9,3 @@ lastYear=lastYear }} - - -
    -
    - -
    -

    Filtrar por Año

    -
    - -
    - -
    -
    -
    - -
    -
    - -
    - -
    - -
    - -
    - - -
    - -
    -
    -

    EXPORTACIONES PARA EL AÑO {{startDate}}

    -
    - - -
    -

    Departamentos en Colombia que más exportan el producto {{startDate}}

    -
    - -
    - {{ - datlas-table - data=exportDataLocations - source="exportsDepartments" - entityType=entityType - search='' - startDate=startDate - endDate=endDate - elementId="productssourceTable" - }} -
    -
    -
    - {{#link-to 'product.visualization' modelData.id 'departments' 'geo' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") - class="btn btn-outline-secondary" - }} - VER MAS - {{/link-to}} -
    -
    - -
    -

    Ciudades en Colombia que más exportan el producto {{startDate}}

    -
    - -
    - {{ - datlas-table - data=exportDataCities - source="exportsCities" - entityType=entityType - search='' - startDate=startDate - endDate=endDate - elementId="productssourceTable2" - }} -
    - -
    -
    - {{#link-to 'product.visualization' modelData.id 'cities' 'multiples' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") - class="btn btn-outline-secondary" - }} - VER MAS - {{/link-to}} -
    -
    - - -
    -

    Países a donde más se exporta el producto {{startDate}}

    -
    - -
    - {{ - datlas-table - data=exportDataPartners - source="exportPartners" - entityType=entityType - search='' - startDate=startDate - endDate=endDate - elementId="productssourceTable21" - }} -
    -
    -
    - {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") - class="btn btn-outline-secondary" - }} - VER MAS - {{/link-to}} -
    -
    - -
    -

    IMPORTACIONES PARA EL AÑO {{startDate}}

    -
    - -
    -

    Departamentos en Colombia que más importan el producto {{startDate}}

    -
    - -
    - {{ - datlas-table - data=exportDataLocations - source="importsDepartments" - entityType=entityType - search='' - startDate=startDate - endDate=endDate - elementId="productssourceTable3" - }} -
    - -
    -
    - {{#link-to 'product.visualization' modelData.id 'departments' 'geo' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") - class="btn btn-outline-secondary" - }} - VER MAS - {{/link-to}} -
    -
    - -
    -

    Ciudades en Colombia que más importan el producto {{startDate}}

    -
    - -
    - {{ - datlas-table - data=exportDataCities - source="importsCities" - entityType=entityType - search='' - startDate=startDate - endDate=endDate - elementId="productssourceTable4" - }} -
    - -
    -
    - {{#link-to 'product.visualization' modelData.id 'cities' 'multiples' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") - class="btn btn-outline-secondary" - }} - VER MAS - {{/link-to}} -
    -
    - -
    -

    Países de donde más se importa el producto {{startDate}}

    -
    - -
    - {{ - datlas-table - data=exportDataPartners - source="importPartners" - entityType=entityType - search='' - startDate=startDate - endDate=endDate - elementId="productssourceTable212" - }} -
    - -
    -
    - {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") - class="btn btn-outline-secondary" - }} - VER MAS - {{/link-to}} -
    -
    - -
    - -
    diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 2ba9b360..860bbe8f 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -142,13 +142,29 @@ {{#if (is-equal entityType "product")}} -
    -
    - {{#link-to 'product.show' model.entity.id class="btn btn-outline-secondary"}} - ANTERIOR - {{/link-to}} + + + {{#if (is-equal variable "export_value")}} +
    +
    + {{#link-to 'product.abstract' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    -
    + {{/if}} + + {{#if (is-equal variable "import_value")}} +
    +
    + {{#link-to 'product.abstract' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + + {{/if}} {{#if (is-equal entityType "location")}} From 85065b41c99efb65ee5983eef0c228b3ff9c8d23 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 12 Sep 2021 08:09:01 -0500 Subject: [PATCH 026/126] Release 0.11 --- Brocfile.js | 2 + .../autocomplete-chained-input-datlas.js | 1 - app/components/autocomplete-input-datlas.js | 2 - app/components/zoomable-treemap.js | 4 +- app/controllers/location/ruralactivities.js | 241 +++++++++++++ app/controllers/visualization.js | 99 +++++- app/locales/es-col/translations.js | 6 + app/router.js | 6 +- app/routes/application.js | 45 ++- app/routes/location/ruralactivities.js | 327 ++++++++++++++++++ app/routes/location/visualization.js | 7 + .../location/-regional-location-rural.hbs | 140 ++++++++ .../location/-regional-location-wages.hbs | 2 +- app/templates/location/complexsectors.hbs | 20 ++ app/templates/location/ruralactivities.hbs | 35 ++ app/templates/visualization.hbs | 32 ++ .../agproducts_section_colors.json | 50 +++ .../farmtypes_section_colors.json | 10 + 18 files changed, 1015 insertions(+), 14 deletions(-) create mode 100644 app/controllers/location/ruralactivities.js create mode 100644 app/routes/location/ruralactivities.js create mode 100644 app/templates/location/-regional-location-rural.hbs create mode 100644 app/templates/location/complexsectors.hbs create mode 100644 app/templates/location/ruralactivities.hbs create mode 100644 vendor/color_mappings/agproducts_section_colors.json create mode 100644 vendor/color_mappings/farmtypes_section_colors.json diff --git a/Brocfile.js b/Brocfile.js index 27adfc69..4cc67662 100644 --- a/Brocfile.js +++ b/Brocfile.js @@ -73,6 +73,8 @@ app.import('vendor/networks/mex-industry_space.json', { destDir: 'assets/network app.import('vendor/color_mappings/product_section_colors.json', { destDir: 'assets/color_mappings' }); app.import('vendor/color_mappings/partners_section_colors.json', { destDir: 'assets/color_mappings' }); +app.import('vendor/color_mappings/farmtypes_section_colors.json', { destDir: 'assets/color_mappings' }); +app.import('vendor/color_mappings/agproducts_section_colors.json', { destDir: 'assets/color_mappings' }); app.import('vendor/color_mappings/col-industry_section_colors.json', { destDir: 'assets/color_mappings' }); app.import('vendor/color_mappings/mex-industry_section_colors.json', { destDir: 'assets/color_mappings' }); diff --git a/app/components/autocomplete-chained-input-datlas.js b/app/components/autocomplete-chained-input-datlas.js index f9fd5401..c7bec4fa 100644 --- a/app/components/autocomplete-chained-input-datlas.js +++ b/app/components/autocomplete-chained-input-datlas.js @@ -99,7 +99,6 @@ export default Ember.Component.extend({ } data.unshift({ id: "", text: ""}) - console.log(placeholder) $eventSelect2.select2({ placeholder: placeholder, diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js index 858fdc20..8e51dfbc 100644 --- a/app/components/autocomplete-input-datlas.js +++ b/app/components/autocomplete-input-datlas.js @@ -26,8 +26,6 @@ export default Ember.Component.extend({ var data = this.get('data_search') var placeholder = this.get("placeHolder") - console.log(type) - if(placeholder === null){ diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index 7c5a1cd1..29ab76fc 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -42,7 +42,7 @@ export default Ember.Component.extend({ } return data.map(item => { - if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ + if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`) && _.get(item, `same_parent`) === undefined){ return { key:_.get(item, key), color: _.get(item, "color"), @@ -92,7 +92,7 @@ export default Ember.Component.extend({ var self = this; var updatedData = data.map(item => { - if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ + if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`) && _.get(item, `same_parent`) === undefined){ return { key:_.get(item, key), color: _.get(item, "color"), diff --git a/app/controllers/location/ruralactivities.js b/app/controllers/location/ruralactivities.js new file mode 100644 index 00000000..a4189967 --- /dev/null +++ b/app/controllers/location/ruralactivities.js @@ -0,0 +1,241 @@ +import Ember from 'ember'; +import numeral from 'numeral'; +const {computed, get:get} = Ember; + +export default Ember.Controller.extend({ + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + queryParams: ['year'], + + startDate: null, + showGrap: true, + canFilterCategory: false, + endDate: null, + source: "landUses", + variable: "area", + vizualization: "treemap", + Title: "Área total", + + firstYear: computed('featureToggle.census_year', function () { + return this.get("featureToggle.year_ranges.agcensus.first_year"); + }), + lastYear: computed('featureToggle.census_year', function () { + return this.get("featureToggle.year_ranges.agcensus.last_year"); + }), + censusYear: computed.alias('featureToggle.census_year'), + agproductFirstYear: computed.alias('featureToggle.year_ranges.agproduct.first_year'), + agproductLastYear: computed.alias('featureToggle.year_ranges.agproduct.last_year'), + agcensusFirstYear: computed.alias('featureToggle.year_ranges.agcensus.first_year'), + agcensusLastYear: computed.alias('featureToggle.year_ranges.agcensus.last_year'), + occupationLastYear: computed.alias('featureToggle.year_ranges.occupation.last_year'), + + entityType: "location", + + validTimeseries: computed.alias('model.timeseries'), + dotplotData: computed.oneWay('model.dotplotData'), + occupationData: computed.oneWay('model.occupations'), + productsData: computed.oneWay('model.productsData'), + inmutableProductsData: computed.oneWay('model.productsData'), + industriesData: computed.oneWay('model.industriesData'), + filteredData: computed('model.[]', 'startDate', 'source', function(){ + + var source = this.get("source") + var data = [] + + console.log(this.get("model")) + + if(source === "landUses"){ + data = this.get("model.landusesData"); + } else if(source === "farmtypes"){ + data = this.get("model.farmtypesData"); + } else if(source === "agproducts"){ + data = this.get("model.agproductsData"); + } + return data.filter(item => item.year === this.get("startDate")); + }), + + headerValue: computed('filteredData', 'variable', 'i18n.locale', function() { + let allowedVariables = ['export_value', 'import_value', 'wages', + 'employment', 'land_sown', 'land_harvested', 'production_tons', 'area', + 'num_farms', 'num_livestock']; + let usdVariables = ['export_value', 'import_value']; + let currencyVariables = ['wages']; + let areaVariables = ['area']; + let variable = this.get('variable'); + let data = this.get('filteredData'); + let visualization = this.get('visualization'); + + if(! _.contains(allowedVariables, variable)){ return ''; } + if(visualization === 'multiples') { return ''; } + + var sum = _.sum(data, variable); + if(_.contains(currencyVariables, variable)) { + return numeral(sum).format('$ 0,0'); + } + if(_.contains(usdVariables, variable)) { + return '$' + numeral(sum).format('0,0') + ' USD'; + } + if(_.contains(areaVariables, variable)) { + return numeral(sum).format('0,0') + ' ha'; + } + return numeral(sum).format('0,00'); + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + + var min = this.get("firstYear") + var max = this.get("lastYear") + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + filteredProductsData: computed('model', 'startDate', 'endDate', function (){ + var products = this.get("model.allProducts") + + return products.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + }), + + filteredIndustriesData: computed('model', 'startDate', 'endDate', function (){ + var products = this.get("model.industriesData") + + return products.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + }), + filteredIndustriesDataTop5Employment: computed('model', 'startDate', 'endDate', function (){ + var products = this.get("model.industriesData") + var filtered = products.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.employment;}), 0, 5); + return sorted; + }), + filteredIndustriesDataTop5EmploymentOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + filteredIndustriesDataTop5Wages: computed('model', 'startDate', 'endDate', function (){ + var products = this.get("model.industriesData") + var filtered = products.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.wages;}), 0, 5); + return sorted; + }), + filteredIndustriesDataTop5WagesOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredPartnersData: computed('model', 'startDate', 'endDate', function (){ + + var partners = this.get("model.allPartners") + return partners.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + }), + + hasTimeseries: computed.notEmpty('model.timeseries'), + hasOccupationData: computed.notEmpty('model.occupations'), + hasProductsData: computed.notEmpty('model.productsData'), + hasIndustriesData: computed.notEmpty('model.industriesData'), + + hasAgproductsData: computed.notEmpty('model.agproductsData'), + hasLanduseData: computed.notEmpty('model.landusesData'), + + isCountry: computed.equal('model.level', 'country'), + isDepartment: computed.equal('model.level','department'), + isMsa: computed.equal('model.level','msa'), + isMunicipality: computed.equal('model.level','municipality'), + showExports: false, + + productSpace: computed.alias('model.metaData.productSpace'), + industrySpace: computed.alias('model.metaData.industrySpace'), + + locationId: computed('model.id','model.level', function() { + return this.get('model.id'); + }), + imageCode: computed('model.level', 'model.code', function() { + if(this.get('isDepartment') || this.get('isCountry')) { + return this.get('model.code'); + } else { + return (this.get('model.code')).substring(0,2); + } + }), + productsSortedByExports: computed('productsData', function() { + return _.slice(_.sortBy(this.get('productsData'), function(d) { return -d.export_value;}), 0, 50); + }), + exportTotal: computed('productsData', function() { + var total = _.reduce(this.get('productsData'), function(memo, data) { + return memo + data.export_value; + }, 0); + return '$' + numeral(total).format('0.0a') + ' USD'; + }), + lastIndustryData: computed.filter('industriesData', function(datum) { + return parseInt(get(datum, 'year')) === this.get('lastYear'); + }), + graphbuilderLink: computed('model.id', function() { + return `location-${this.get('model.id')}`; + }), + description: computed('model.name', 'i18n.locale', function() { + return this.get(`model.description_${this.get('i18n.display')}`); + }), + actions: { + showExports(value) { + this.set('showExports', value); + }, + setStartYear(){ + + var year = parseInt($("#selectYear").val()) + + this.set('startDate', year) + this.set('endDate', year) + }, + selectSource(){ + var value = $("#selectType").val(); + + if(value === "1"){ + this.set("source", "landUses"); + this.set("variable", "area"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("startDate", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Área total"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + } else if(value === "2"){ + this.set("source", "farmtypes"); + this.set("variable", "num_farms"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("startDate", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "UPAS y UPNAS"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true); + } else if(value === "3"){ + this.set("source", "agproducts"); + this.set("variable", "land_sown"); + this.set("firstYear", this.get("featureToggle.first_year")); + this.set("lastYear", this.get("featureToggle.last_year")); + this.set("startDate", this.get("featureToggle.last_year")); + this.set("Title", "Área sembrada (hectáreas)"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true); + } else if(value === "4"){ + this.set("source", "agproducts"); + this.set("variable", "land_harvested"); + this.set("firstYear", this.get("featureToggle.first_year")); + this.set("lastYear", this.get("featureToggle.last_year")); + this.set("startDate", this.get("featureToggle.last_year")); + this.set("Title", "Área cosechada (hectáreas)"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true); + } else if(value === "5"){ + this.set("source", "agproducts"); + this.set("variable", "production_tons"); + this.set("firstYear", this.get("featureToggle.first_year")); + this.set("lastYear", this.get("featureToggle.last_year")); + this.set("startDate", this.get("featureToggle.last_year")); + this.set("Title", "Producción (toneladas)"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true); + } + + $("#selectYear").val(this.get("startDate")); + + } + } +}); + diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index 1430ed51..5b4d852a 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -74,6 +74,42 @@ export default Ember.Controller.extend({ }) }), + landUsesData: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.landUses')) + + return locations.filter(item => item[1].level === "level2").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name}`} + }) + }), + + farmtypesData: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.farmtypes')) + + return locations.filter(item => item[1].level === "level2").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name}`} + }) + }), + + agproductsData: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.agproducts')) + + return locations.filter(item => item[1].level === "level3").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name}`} + }) + }), + partnersData: computed('model', function(){ var locations = Object.entries(this.get('model.metaData.partnerCountries')) @@ -194,6 +230,8 @@ export default Ember.Controller.extend({ filterData: computed('source', function(){ + console.log(this.get("model")) + if(this.get('source') == 'departments'){ return this.get('locationsData') } @@ -212,6 +250,15 @@ export default Ember.Controller.extend({ else if(this.get('source') == 'industries'){ return this.get('industriesData') } + else if(this.get('source') == 'landUses'){ + return this.get('landUsesData') + } + else if(this.get('source') == 'farmtypes'){ + return this.get('farmtypesData') + } + else if(this.get('source') == 'agproducts'){ + return this.get('agproductsData') + } else{ return [] } @@ -527,6 +574,12 @@ export default Ember.Controller.extend({ else if(this.get('source') === "products"){ return true; } + else if(this.get('source') === "farmtypes"){ + return true; + } + else if(this.get('source') === "agproducts"){ + return true; + } return false; }), canFilterVcr: computed('source', 'visualization', function(){ @@ -745,8 +798,52 @@ export default Ember.Controller.extend({ return _.deburr(`${parentName} ${code}`).match(regexp); }); } + else if(this.get('source') == 'landUses'){ + return _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + } + else if(this.get('source') == 'farmtypes'){ + return _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + } + else if(this.get('source') == 'agproducts'){ + return _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + } else if(this.get('source') == 'partners'){ - console.log(data) var data_result = _.filter(data, (d) => { let parentName = get(d,`parent_name_${this.get('i18n').display}`); let longName = get(d,`name_${this.get('i18n').display}`); diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index a1207629..6adc3b63 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -757,6 +757,9 @@ export default { "visualization.source.products": "Búsque por nombre de producto o partida arancelaría", "visualization.source.industries": "Ingrese el nombre del sector o código CIUU", "visualization.source.partners": "Busque por nombre de país", + "visualization.source.landUses": "Busque el uso de suelo de su interes", + "visualization.source.farmtypes": "Ingrese un tipo de producción rural", + "visualization.source.agproducts": "Busque su producto agropecuario de interes", "visualization.search.departments": "Búsque por departamento o código DANE", "visualization.search.cities": "Búsque por departamento, ciudad o código DANE", @@ -764,6 +767,9 @@ export default { "visualization.search.products": "Búsque por nombre de producto o partida arancelaría", "visualization.search.industries": "Búsque por sector o código CIIU", "visualization.search.partners": "Búsque socios comerciales", + "visualization.search.landUses": "Búsque por uso de suelo", + "visualization.search.farmtypes": "Búsque por producción rural", + "visualization.search.agproducts": "Búsque por producto agropecuario", "visualization.search.first.partners": "REGIÓN", "visualization.search.second.partners": "PAÍS", diff --git a/app/router.js b/app/router.js index 4f36d67d..ae8a768d 100644 --- a/app/router.js +++ b/app/router.js @@ -31,14 +31,14 @@ export default Router.map(function() { this.resource('location', { path: 'location'}, function() { this.route('show', {path: ':location_id'}); this.route('abstract', {path: ':location_id/abstract/'}); - this.route('route', {path: ':location_id/route/'}); this.route('productmap', {path: ':location_id/route/product_map/'}); - this.route('locationimports', {path: ':location_id/route/imports/'}); - this.route('locationwages', {path: ':location_id/route/wages/'}); + this.route('complexsectors', {path: ':location_id/route/complex_sectors/'}); + this.route('ruralactivities', {path: ':location_id/route/rural_activities/'}); + //this.route('productmapdecentralized', {path: ':location_id/route/product_map/decentralized/'}); diff --git a/app/routes/application.js b/app/routes/application.js index e9053ff0..a8e24406 100644 --- a/app/routes/application.js +++ b/app/routes/application.js @@ -43,6 +43,8 @@ export default Ember.Route.extend({ var productSectionColor = $.getJSON('assets/color_mappings/product_section_colors.json'); var partnersSectionColor = $.getJSON('assets/color_mappings/partners_section_colors.json'); + var farmtypesSectionColor = $.getJSON('assets/color_mappings/farmtypes_section_colors.json'); + var agproductsSectionColor = $.getJSON('assets/color_mappings/agproducts_section_colors.json'); var industrySectionColor = $.getJSON(`assets/color_mappings/${this.get('i18n.country')}-industry_section_colors.json`); var industrySpace = $.getJSON(`assets/networks/${this.get('i18n.country')}-industry_space.json`); var productSpace = $.getJSON('assets/networks/product_space.json'); @@ -69,7 +71,9 @@ export default Ember.Route.extend({ industryPCI, productSpace, industrySpace, - partnersSectionColor + partnersSectionColor, + farmtypesSectionColor, + agproductsSectionColor ]; return RSVP.allSettled(promises).then((array) => { @@ -95,6 +99,8 @@ export default Ember.Route.extend({ let productSpace = array[19].value; let industrySpace = array[20].value; let partnersSectionColor = array[21].value; + let farmtypesSectionColor = array[22].value; + let agproductsSectionColor = array[23].value; // Finds the entity with the `1st digit` that matches // sets `group` to the `1st digit code` @@ -151,9 +157,27 @@ export default Ember.Route.extend({ }); _.forEach(agproductsMetadata, (d) => { + + let parent = agproductsMetadata[d.parent_id]; + let color = '#880e4f'; + let icon = 'fas fa-globe'; + + if(parent !== undefined){ + + if(d.level === "level3"){ + let grandparent = agproductsMetadata[parent.parent_id]; + if(agproductsSectionColor[grandparent.id] !== undefined){ + color = agproductsSectionColor[grandparent.id].color; + icon = agproductsSectionColor[grandparent.id].icon; + } + } + + } + d.name_short_en = d.name_en; d.name_short_es = d.name_es; - d.color = '#ccafaf'; + d.color = color; + d.icon = icon; d.model = 'agproduct'; }); @@ -167,14 +191,27 @@ export default Ember.Route.extend({ _.forEach(landUsesMetadata, (d) => { d.name_short_en = d.name_en; d.name_short_es = d.name_es; - d.color = '#ccafaf'; + d.color = '#880e4f'; d.model = 'landUse'; }); _.forEach(farmtypesMetadata, (d) => { + + let color = '#880e4f'; + let icon = 'fas fa-globe'; + + if(farmtypesSectionColor[d.parent_id] !== undefined){ + color = farmtypesSectionColor[d.parent_id].color; + } + + if(farmtypesSectionColor[d.parent_id] !== undefined){ + icon = farmtypesSectionColor[d.parent_id].icon; + } + d.name_short_en = d.name_en; d.name_short_es = d.name_es; - d.color = '#ccafaf'; + d.color = color; + d.icon = icon; }); _.forEach(farmsizesMetadata, (d) => { diff --git a/app/routes/location/ruralactivities.js b/app/routes/location/ruralactivities.js new file mode 100644 index 00000000..d6ae56dd --- /dev/null +++ b/app/routes/location/ruralactivities.js @@ -0,0 +1,327 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; +import numeral from 'numeral'; + +const {apiURL} = ENV; +const {RSVP, computed, getWithDefault, get, copy} = Ember; + +export default Ember.Route.extend({ +// `this.store.find` makes an api call for `params.location_id` and returns a promise +// in the `then` function call, another API call is made to get the topExports data + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + censusYear: computed.alias('featureToggle.census_year'), + agproductFirstYear: computed.alias('featureToggle.year_ranges.agproduct.first_year'), + agproductLastYear: computed.alias('featureToggle.year_ranges.agproduct.last_year'), + agcensusFirstYear: computed.alias('featureToggle.year_ranges.agcensus.first_year'), + agcensusLastYear: computed.alias('featureToggle.year_ranges.agcensus.last_year'), + + model: function(params) { + return this.store.find('location', params.location_id); + }, + afterModel: function(model) { + let level = model.get('level'); + level = level === 'country' ? 'department' : level; + + let subregion = get(this, `featureToggle.subregions.${model.get('level')}`); + + // TODO: maybe use ember data instead of ajax calls to decorate JSON objects with model functionality? + // extract year out later + var products = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/products?level=4digit`); + var industries = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/industries?level=class`); + + // one of these should be removed in the future because the points should be merged in + var dotplot = Ember.$.getJSON(`${apiURL}/data/location?level=${level}`); //dotplots + + var subregions_trade = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/subregions_trade/?level=${subregion}`); + + var occupations = Ember.$.getJSON(`${apiURL}/data/occupation/?level=minor_group`); + + var agproducts = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/agproducts/?level=level3`); + var landuses = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/land_uses/?level=level2`); + + var ag_farmsizes = Ember.$.getJSON(`${apiURL}/data/farmsize/1/locations/?level=${level}`); + var nonag_farmsizes = Ember.$.getJSON(`${apiURL}/data/farmsize/2/locations/?level=${level}`); + + var partners = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/partners/?level=country`); + + var farmtypes = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/farmtypes/?level=level2`); + + return RSVP.allSettled([products, dotplot, industries, subregions_trade, occupations, agproducts, landuses, ag_farmsizes, nonag_farmsizes, partners, farmtypes]).then((array) => { + var productsData = getWithDefault(array[0], 'value.data', []); + + var dotplotData = getWithDefault(array[1], 'value.data', []);//dotplots + + var industriesData = getWithDefault(array[2], 'value.data', []); + + var subregionsTradeData = _.filter(getWithDefault(array[3], 'value.data', []), { 'year': this.get('lastYear')}); + + var occupationsData = getWithDefault(array[4], 'value.data', []); + + var agproductsData = getWithDefault(array[5], 'value.data', []); + var landusesData = getWithDefault(array[6], 'value.data', []); + + var agFarmsizesData = getWithDefault(array[7], 'value.data', []); + var nonagFarmsizesData = getWithDefault(array[8], 'value.data', []); + + var partnersData = getWithDefault(array[9], 'value.data', []); + var farmtypesDataValues = getWithDefault(array[10], 'value.data', []); + + var productsDataIndex = _.indexBy(productsData, 'product_id'); + var industriesDataIndex = _.indexBy(industriesData, 'industry_data'); + + let productsMetadata = this.modelFor('application').products; + let locationsMetadata = this.modelFor('application').locations; + let industriesMetadata = this.modelFor('application').industries; + let occupationsMetadata = this.modelFor('application').occupations; + let agproductsMetadata = this.modelFor('application').agproducts; + let landusesMetadata = this.modelFor('application').landUses; + let partnersMetadata = this.modelFor('application').partnerCountries; + let farmtypesMetadata = this.modelFor('application').farmtypes; + + + //get products data for the department + let products = _.reduce(productsData, (memo, d) => { + if(d.year != this.get('lastYear')) { return memo; } + let product = productsMetadata[d.product_id]; + let productData = productsDataIndex[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product, productData)); + return memo; + }, []); + + + //get products data for the department + let allProducts = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + let productData = productsDataIndex[d.product_id]; + + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, productData, {year: d.year}, product)); + return memo; + }, []); + + + let allPartners = _.map(partnersData, (d) => { + + let country = partnersMetadata[d.country_id]; + let parent = partnersMetadata[country.parent_id]; + d.parent_name_en = parent.name_en; + d.parent_name_es = parent.name_es; + d.group = parent.id; + + return _.merge(copy(d), country); + }); + + + //get agproducts data for the department + + let agproducts = _.map(agproductsData, (d) => { + let merged = _.merge(copy(d), agproductsMetadata[d.agproduct_id]); + + let parent = agproductsMetadata[merged.parent_id]; + let grandparent = agproductsMetadata[parent.parent_id]; + merged.parent_name_en = grandparent.name_short_en; + merged.parent_name_es = grandparent.name_short_es; + merged.group = grandparent.id; + + return merged; + }); + + //get agproducts data for the department + + let landuses = _.map(landusesData, (d) => { + let merged = _.merge(copy(d), landusesMetadata[d.land_use_id]); + merged.year = this.get('agcensusLastYear'); + merged.group = merged.code; + return merged; + }); + + //get industry data for department + let industries = _.reduce(industriesData, (memo, d) => { + if(d.year != this.get('lastYear')) { return memo; } + let industry = industriesMetadata[d.industry_id]; + if(model.id === '0') { d.rca = 1; } + let industryData = industriesDataIndex[d.industry_id]; + industry.complexity = _.result(_.find(industry.pci_data, { year: d.year}), 'complexity'); + memo.push(_.merge(d, industry, industryData)); + return memo; + }, []); + + let occupationVacanciesSum = 0; + let occupations = _.map(occupationsData, (d) => { + occupationVacanciesSum += d.num_vacancies; + let occupation = occupationsMetadata[d.occupation_id]; + return _.merge(d, occupation); + }); + + occupations.forEach((d) => { + d.share = d.num_vacancies/occupationVacanciesSum; + }); + + //dotplots and dotplotTimeSeries power the dotplots, rankings and etc + var dotplot = []; + var dotplotTimeSeries= []; + + _.each(dotplotData, (d) => { + let id = _.get(d, 'department_id') || _.get(d, 'location_id'); + if(id == model.id) { + dotplotTimeSeries.push(d); + } + if(d.year === this.get('censusYear')) { + let id = _.get(d, 'department_id') || _.get(d, 'location_id'); + + let location = _.get(locationsMetadata, id); + + let extra = { + name: location.name_en, + group: d.code, + parent_name_en: location.name_en, + parent_name_es: location.name_es, + }; + + let datum = _.merge(d, location, extra ); + dotplot.push(datum); + } + }); + + let subregions = []; + _.each(subregionsTradeData, (d) => { + let id = _.get(d, 'department_id') || _.get(d, 'location_id'); + + let location = _.get(locationsMetadata, id); + let extra = { + name: location.name_en, + group: d.code, + parent_name_en: location.name_en, + parent_name_es: location.name_es, + }; + + let datum = _.merge(d, location, extra ); + subregions.push(datum); + }); + + var eciRank = 1; + var populationRank = 1; + var gdpRank = 1; + var gdpPerCapitaRank = 1; + + // "Datum" contains the hash of data for the year to be displayed. + let datum = _.chain(dotplotTimeSeries) + .select({ year: this.get('censusYear')}) + .first() + .value(); + + if(datum) { + _.each(dotplot, (d) => { + if(d.eci != null && d.eci > datum.eci) { eciRank ++; } + if(d.gdp_real != null && d.gdp_real > datum.gdp_real) { gdpRank ++; } + if(d.population != null && d.population > datum.population ) { populationRank ++; } + if(d.gdp_pc_real != null && d.gdp_pc_real> datum.gdp_pc_real ) { gdpPerCapitaRank++; } + }); + } + + if(datum !== undefined && (datum.eci === undefined || datum.eci === null)){ + eciRank = null; + } + + model.setProperties({ + eciRank: eciRank, + gdpRank: gdpRank, + gdpPerCapitaRank: gdpPerCapitaRank, + populationRank: populationRank, + }); + + var agFarmsizeRank = 1; + var agFarmsize = _.chain(agFarmsizesData).filter((d) => d.location_id == model.id).first().get("avg_farmsize").value(); + _.each(agFarmsizesData, (d) => { + + if(d.avg_farmsize != null && d.avg_farmsize > agFarmsize ) { agFarmsizeRank++; } + + d.name_en = _.get(locationsMetadata, d.location_id).name_en; + d.name_es = _.get(locationsMetadata, d.location_id).name_es; + + }); + agFarmsize = numeral(agFarmsize).format('0.00a'); + + model.setProperties({ + agFarmsize: agFarmsize, + agFarmsizeRank: agFarmsizeRank, + }); + + var nonagFarmsizeRank = 1; + var nonagFarmsize = _.chain(nonagFarmsizesData).filter((d) => d.location_id == model.id).first().get("avg_farmsize").value(); + _.each(nonagFarmsizesData, (d) => { + + if(d.avg_farmsize != null && d.avg_farmsize > nonagFarmsize ) { nonagFarmsizeRank++; } + + d.name_en = _.get(locationsMetadata, d.location_id).name_en; + d.name_es = _.get(locationsMetadata, d.location_id).name_es; + + }); + nonagFarmsize = numeral(nonagFarmsize).format('0.00a'); + + model.setProperties({ + nonagFarmsize: nonagFarmsize, + nonagFarmsizeRank: nonagFarmsizeRank, + }); + + var yieldIndexRank = 1; + var yieldIndex = _.chain(dotplotData).filter((d) => ((d.department_id == model.id || d.location_id == model.id) && d.year == this.get("agproductLastYear"))).first().get("yield_index").value(); + + var yieldData = _.filter(dotplotData, (d) => d.year == this.get("agproductLastYear") ); + _.each(yieldData, (d) => { + if(d.yield_index != null && d.yield_index > yieldIndex) { yieldIndexRank++; } + let id = _.get(d, 'department_id') || _.get(d, 'location_id'); + d.name_en = _.get(locationsMetadata, id).name_en; + d.name_es = _.get(locationsMetadata, id).name_es; + }); + yieldIndex = numeral(yieldIndex).format('0.00a'); + + model.setProperties({ + yieldIndex: yieldIndex, + yieldIndexRank: yieldIndexRank, + }); + + let farmtypesData = _.map(farmtypesDataValues, (d) => { + let merged = _.merge(copy(d), farmtypesMetadata[d.farmtype_id]); + let parent = farmtypesMetadata[merged.parent_id]; + + merged.parent_name_en = parent.name_short_en; + merged.parent_name_es = parent.name_short_es; + merged.year = this.get('agcensusLastYear'); + merged.group = merged.code; + merged.same_parent = true; + return merged; + }); + + + model.set('productsData', products); + model.set('agproductsData', agproducts); + model.set('landusesData', landuses); + model.set('industriesData', industries); + model.set('agFarmsizesData', agFarmsizesData); + model.set('nonagFarmsizesData', nonagFarmsizesData); + model.set('yieldData', yieldData); + model.set('dotplotData', dotplot); + model.set('occupations', occupations); + model.set('timeseries', dotplotTimeSeries); + model.set('metaData', this.modelFor('application')); + model.set('subregions', subregions); + model.set('allPartners', allPartners); + model.set('allProducts', allProducts); + model.set('farmtypesData', farmtypesData); + + return model; + }); + }, + setupController(controller, model) { + this._super(controller, model); + this.controllerFor('application').set('entity', model.get('constructor.modelName')); + this.controllerFor('application').set('entity_id', model.get('id')); + window.scrollTo(0, 0); + }, +}); diff --git a/app/routes/location/visualization.js b/app/routes/location/visualization.js index 49a95005..71ec9bd9 100644 --- a/app/routes/location/visualization.js +++ b/app/routes/location/visualization.js @@ -184,6 +184,8 @@ export default Ember.Route.extend({ let {model, agproducts } = hash; let agproductsMetadata = this.modelFor('application').agproducts; + var ids = [] + let data = _.map(agproducts.data, (d) => { let merged = _.merge(copy(d), agproductsMetadata[d.agproduct_id]); @@ -239,8 +241,13 @@ export default Ember.Route.extend({ let data = _.map(farmtypes.data, (d) => { let merged = _.merge(copy(d), farmtypesMetadata[d.farmtype_id]); + let parent = farmtypesMetadata[merged.parent_id]; + + merged.parent_name_en = parent.name_short_en; + merged.parent_name_es = parent.name_short_es; merged.year = this.get('agcensusLastYear'); merged.group = merged.code; + merged.same_parent = true; return merged; }); diff --git a/app/templates/location/-regional-location-rural.hbs b/app/templates/location/-regional-location-rural.hbs new file mode 100644 index 00000000..b6384774 --- /dev/null +++ b/app/templates/location/-regional-location-rural.hbs @@ -0,0 +1,140 @@ +
    +
    + +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    + +
    + +
    +
    + +
    + +
    +

    Actividades rurales

    +
    + +
    +

    Selector

    +

    Utilice el selector para cambiar la Información

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    + +
    +
    + +
    +
    +
    + {{#if showGrap}} +

    {{Title}}: {{headerValue}} ({{startDate}})

    + {{ + zoomable-treemap + data=filteredData + immutableData=filteredData + varDependent=variable + elementId='zoomable-export-value-treemap' + class="position-relative" + color='pink' + filterCategory=canFilterCategory + }} + {{/if}} +
    + +
    +
    + +
    + + +
    +
    + {{ + datlas-table + data=filteredData + source=source + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="productssourceTable" + }} +
    + +
    + + +
    + +
    +
    + +
    +
    + + {{#link-to 'location.visualization' model.id source vizualization variable (query-params startDate=startDate endDate=startDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + + +
    + +
    \ No newline at end of file diff --git a/app/templates/location/-regional-location-wages.hbs b/app/templates/location/-regional-location-wages.hbs index 2b98a064..d04c63b3 100644 --- a/app/templates/location/-regional-location-wages.hbs +++ b/app/templates/location/-regional-location-wages.hbs @@ -238,7 +238,7 @@ {{/link-to}}
    - {{#link-to 'location.locationwages' model.id + {{#link-to 'location.complexsectors' model.id class="btn btn-outline-secondary" }} SIGUIENTE diff --git a/app/templates/location/complexsectors.hbs b/app/templates/location/complexsectors.hbs new file mode 100644 index 00000000..14a9e8ff --- /dev/null +++ b/app/templates/location/complexsectors.hbs @@ -0,0 +1,20 @@ +
    +

    CASO 34

    +
    + +
    +
    + {{#link-to 'location.locationwages' model.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    + {{#link-to 'location.ruralactivities' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/location/ruralactivities.hbs b/app/templates/location/ruralactivities.hbs new file mode 100644 index 00000000..daee4b29 --- /dev/null +++ b/app/templates/location/ruralactivities.hbs @@ -0,0 +1,35 @@ +{{component "stream-header" + model=model + type="location" + extra_type="location_route" + metaData=model.metaData + firstYear=firstYear + lastYear=lastYear + agproductFirstYear=agproductFirstYear + agproductLastYear=agproductLastYear + agcensusFirstYear=agcensusFirstYear + agcensusLastYear=agcensusLastYear +}} + +{{#if isCountry }} + {{partial 'location/country-location-route'}} +{{else}} + {{partial 'location/regional-location-rural'}} +{{/if}} + +
    +
    + {{#link-to 'location.complexsectors' model.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    + {{#link-to 'location.ruralactivities' model.id + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    \ No newline at end of file diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 860bbe8f..d1d7aa05 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -209,6 +209,38 @@
    {{/if}} + {{#if (is-equal source "landUses")}} +
    +
    + {{#link-to 'location.ruralactivities' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + + + {{#if (is-equal source "farmtypes")}} +
    +
    + {{#link-to 'location.ruralactivities' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + + {{#if (is-equal source "agproducts")}} +
    +
    + {{#link-to 'location.ruralactivities' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + + {{/if}} diff --git a/vendor/color_mappings/agproducts_section_colors.json b/vendor/color_mappings/agproducts_section_colors.json new file mode 100644 index 00000000..69d05431 --- /dev/null +++ b/vendor/color_mappings/agproducts_section_colors.json @@ -0,0 +1,50 @@ +{ + "1": { + "color": "#33691e", + "icon": "fas fa-seedling" + }, + "24": { + "color": "#00acc1", + "icon": "fas fa-leaf" + }, + "41": { + "color": "#f57f17", + "icon": "fas fa-fan" + }, + "65": { + "color": "#4a148c", + "icon": "fas fa-tree" + }, + "69": { + "color": "#ba68c8", + "icon": "fas fa-lemon" + }, + "196": { + "color": "#880e4f", + "icon": "fas fa-cloud-meatball" + }, + "201": { + "color": "#827717", + "icon": "fab fa-pagelines" + }, + "265": { + "color": "#03a9f4", + "icon": "fas fa-fan" + }, + "292": { + "color": "#006064", + "icon": "fas fa-fan" + }, + "303": { + "color": "#0d47a1", + "icon": "fas fa-leaf" + }, + "317": { + "color": "#e91e63", + "icon": "fas fa-tree" + }, + "357": { + "color": "#7e57c2", + "icon": "fas fa-seedling" + } +} diff --git a/vendor/color_mappings/farmtypes_section_colors.json b/vendor/color_mappings/farmtypes_section_colors.json new file mode 100644 index 00000000..72afb197 --- /dev/null +++ b/vendor/color_mappings/farmtypes_section_colors.json @@ -0,0 +1,10 @@ +{ + "1": { + "color": "#33691e", + "icon": "fas fa-carrot" + }, + "5": { + "color": "#827717", + "icon": "fas fa-archive" + } +} From 0cd36afd10f02b5cd4403beb66360722df49a014 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 12 Sep 2021 15:33:36 -0500 Subject: [PATCH 027/126] Release 0.12 --- app/components/datlas-table.js | 14 +- app/controllers/location/ruralactivities.js | 268 ++++++++- app/controllers/visualization.js | 2 - app/mixins/table-map.js | 8 + app/routes/location/ruralactivities.js | 28 +- .../location/-regional-location-rural.hbs | 509 +++++++++++++++--- app/templates/visualization.hbs | 63 ++- 7 files changed, 778 insertions(+), 114 deletions(-) diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js index c7047700..f7e9e129 100644 --- a/app/components/datlas-table.js +++ b/app/components/datlas-table.js @@ -160,12 +160,13 @@ export default Ember.Component.extend(TableMap, { }, updatedData: computed('data.[]', 'tableMap', 'i18n.locale', 'source', 'search', 'startDate', function() { var data = this.get("data"); + var tableMap = this.get('tableMap') if(data === undefined){ data = []; } - var columns = this.get('tableMap').map((column) => { return column.key }) + var columns = tableMap.map((column) => { return column.key }) var that = this; @@ -186,7 +187,10 @@ export default Ember.Component.extend(TableMap, { return testSpan + item[`parent_name_${that.get('i18n').display}`]; } else if(key === 'parent_name'){ - return item[`parent_name_${that.get('i18n').display}`]; + if(item.hasOwnProperty(`parent_name_${that.get('i18n').display}`)){ + return item[`parent_name_${that.get('i18n').display}`]; + } + return "" } else if(!item.hasOwnProperty(key)){ return null; @@ -432,7 +436,7 @@ export default Ember.Component.extend(TableMap, { var language = this.get("getLanguage"); if(columns.length === 0){ - columns = this.get('titlesCache'); + columns = [{"title": "", "data": ""}]; }else{ this.set('titlesCache', columns); } @@ -444,6 +448,10 @@ export default Ember.Component.extend(TableMap, { order = this.get("order") } + if(updatedData.length === 0){ + order = [[ 0, "desc" ]]; + } + var table = $(id_element).DataTable({ dom: 'Bfrtip', diff --git a/app/controllers/location/ruralactivities.js b/app/controllers/location/ruralactivities.js index a4189967..a0e6ce65 100644 --- a/app/controllers/location/ruralactivities.js +++ b/app/controllers/location/ruralactivities.js @@ -8,9 +8,14 @@ export default Ember.Controller.extend({ queryParams: ['year'], startDate: null, + startDateTable: null, + classNone: "", + tableClassNone: "", + endDate: null, showGrap: true, + showMultiples: false, + showTable: false, canFilterCategory: false, - endDate: null, source: "landUses", variable: "area", vizualization: "treemap", @@ -22,6 +27,15 @@ export default Ember.Controller.extend({ lastYear: computed('featureToggle.census_year', function () { return this.get("featureToggle.year_ranges.agcensus.last_year"); }), + firstYearTable: computed('featureToggle.first_year', function () { + return this.get("featureToggle.first_year"); + }), + lastYearTable: computed('featureToggle.last_year', function () { + return this.get("featureToggle.last_year"); + }), + dateValue: computed('featureToggle.census_year', function () { + return this.get("featureToggle.year_ranges.agcensus.first_year"); + }), censusYear: computed.alias('featureToggle.census_year'), agproductFirstYear: computed.alias('featureToggle.year_ranges.agproduct.first_year'), agproductLastYear: computed.alias('featureToggle.year_ranges.agproduct.last_year'), @@ -42,18 +56,118 @@ export default Ember.Controller.extend({ var source = this.get("source") var data = [] - console.log(this.get("model")) - if(source === "landUses"){ data = this.get("model.landusesData"); } else if(source === "farmtypes"){ data = this.get("model.farmtypesData"); } else if(source === "agproducts"){ data = this.get("model.agproductsData"); + } else if(source === "nonags"){ + data = this.get("model.nonagsData"); + } else if(source === "livestock"){ + data = this.get("model.livestockData"); } - return data.filter(item => item.year === this.get("startDate")); + return data.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")); + }), + filteredDataLandUsesTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.landusesData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.area;}), 0, 5); + return sorted + }), + filteredDataLandUsesTop5Order: computed('model', 'startDateTable', function (){ + return [[ 3, "desc" ]]; + }), + + + filteredDataFarmTypesTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.farmtypesData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_farms;}), 0, 5); + return sorted + }), + filteredDataFarmTypesTop5Order: computed('model', 'startDateTable', function (){ + return [[ 1, "desc" ]]; + }), + + + filteredDataLandSownTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.agproductsData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.land_sown;}), 0, 5); + return sorted + }), + filteredDataLandSownTop5Order: computed('model', 'startDateTable', function (){ + return [[ 2, "desc" ]]; + }), + + + filteredDataLandHarvestedTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.agproductsData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.land_harvested;}), 0, 5); + return sorted + }), + filteredDataLandHarvestedTop5Order: computed('model', 'startDateTable', function (){ + return [[ 3, "desc" ]]; + }), + + filteredDataProductionTonsTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.agproductsData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.production_tons;}), 0, 5); + return sorted + }), + filteredDataProductionTonsTop5Order: computed('model', 'startDateTable', function (){ + return [[ 4, "desc" ]]; + }), + + + filteredDataYieldRatioTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.agproductsData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.yield_ratio;}), 0, 5); + return sorted + }), + filteredDataYieldRatioTop5Order: computed('model', 'startDateTable', function (){ + return [[ 5, "desc" ]]; + }), + + + filteredDataNonagsNumFarmsTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.nonagsData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_farms;}), 0, 5); + return sorted + }), + filteredDataNonagsNumFarmsTop5Order: computed('model', 'startDateTable', function (){ + return [[ 1, "desc" ]]; + }), + + + filteredDataLiveStockNumTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.livestockData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_livestock;}), 0, 5); + return sorted + }), + filteredDataLiveStockNumTop5Order: computed('model', 'startDateTable', function (){ + return [[ 2, "desc" ]]; }), + + filteredDataLiveStockNumFarmsTop5: computed('model.[]', 'startDateTable', function(){ + var data = this.get("model.livestockData"); + var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_farms;}), 0, 5); + + return sorted + }), + filteredDataLiveStockNumFarmsTop5Order: computed('model', 'startDateTable', function (){ + return [[ 1, "desc" ]]; + }), + + headerValue: computed('filteredData', 'variable', 'i18n.locale', function() { let allowedVariables = ['export_value', 'import_value', 'wages', 'employment', 'land_sown', 'land_harvested', 'production_tons', 'area', @@ -81,15 +195,33 @@ export default Ember.Controller.extend({ return numeral(sum).format('0,00'); }), - rangeYears: computed('firstYear', 'lastYear', function(){ + rangeYears: computed('firstYear', 'lastYear', 'source', 'variable', function(){ - this.set('startDate', this.get("lastYear")) - this.set('endDate', this.get("lastYear")) + var source = this.get("source"); + var variable = this.get("variable"); + + if( source === "agproducts" && variable === "yield_ratio"){ + this.set('startDate', this.get("firstYear")) + this.set('endDate', this.get("lastYear")) + this.set('dateValue', `${this.get('firstYear')} - ${this.get('lastYear')}`) + } else { + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + this.set('dateValue', `${this.get('lastYear')}`) + } var min = this.get("firstYear") var max = this.get("lastYear") return [...Array(max - min + 1).keys()].map(i => i + min); }), + rangeYearsTable: computed('firstYearTable', 'lastYearTable', function(){ + + this.set('startDateTable', this.get("lastYearTable")) + + var min = this.get("firstYearTable") + var max = this.get("lastYearTable") + return [...Array(max - min + 1).keys()].map(i => i + min); + }), filteredProductsData: computed('model', 'startDate', 'endDate', function (){ var products = this.get("model.allProducts") @@ -183,6 +315,13 @@ export default Ember.Controller.extend({ this.set('startDate', year) this.set('endDate', year) }, + setStartYearTable(){ + + var year = parseInt($("#selectYearTable").val()) + + this.set('startDateTable', year) + this.set('endDateTable', year) + }, selectSource(){ var value = $("#selectType").val(); @@ -191,46 +330,127 @@ export default Ember.Controller.extend({ this.set("variable", "area"); this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); - this.set("startDate", this.get("featureToggle.year_ranges.agcensus.first_year")); - this.set("Title", "Área total"); + this.set("Title", "Área total:"); this.set("vizualization", "treemap"); this.set("canFilterCategory", false); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + //$("#pills-graphic-tab").trigger("click"); } else if(value === "2"){ this.set("source", "farmtypes"); this.set("variable", "num_farms"); this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); - this.set("startDate", this.get("featureToggle.year_ranges.agcensus.first_year")); - this.set("Title", "UPAS y UPNAS"); + this.set("Title", "UPAS y UPNAS:"); this.set("vizualization", "treemap"); this.set("canFilterCategory", true); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + //$("#pills-graphic-tab").trigger("click"); } else if(value === "3"){ this.set("source", "agproducts"); this.set("variable", "land_sown"); - this.set("firstYear", this.get("featureToggle.first_year")); - this.set("lastYear", this.get("featureToggle.last_year")); - this.set("startDate", this.get("featureToggle.last_year")); - this.set("Title", "Área sembrada (hectáreas)"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Área sembrada (hectáreas):"); this.set("vizualization", "treemap"); this.set("canFilterCategory", true); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + //$("#pills-graphic-tab").trigger("click"); } else if(value === "4"){ this.set("source", "agproducts"); this.set("variable", "land_harvested"); - this.set("firstYear", this.get("featureToggle.first_year")); - this.set("lastYear", this.get("featureToggle.last_year")); - this.set("startDate", this.get("featureToggle.last_year")); - this.set("Title", "Área cosechada (hectáreas)"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Área cosechada (hectáreas):"); this.set("vizualization", "treemap"); - this.set("canFilterCategory", true); + this.set("canFilterCategory", true) + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + //$("#pills-graphic-tab").trigger("click"); } else if(value === "5"){ this.set("source", "agproducts"); this.set("variable", "production_tons"); - this.set("firstYear", this.get("featureToggle.first_year")); - this.set("lastYear", this.get("featureToggle.last_year")); - this.set("startDate", this.get("featureToggle.last_year")); - this.set("Title", "Producción (toneladas)"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Producción (toneladas):"); this.set("vizualization", "treemap"); this.set("canFilterCategory", true); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "6"){ + this.set("source", "agproducts"); + this.set("variable", "yield_ratio"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Rendimiento"); + this.set("vizualization", "multiples"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", true); + this.set("showTable", false); + this.set("classNone", "d-none"); + this.set("tableClassNone", ""); + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "7"){ + this.set("source", "nonags"); + this.set("variable", "num_farms"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Numero unidades de producción:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", false); + this.set("showTable", true); + this.set("classNone", "d-none"); + this.set("tableClassNone", "d-none"); + //$("#pills-table-tab").trigger("click"); + } else if(value === "8"){ + this.set("source", "livestock"); + this.set("variable", "num_livestock"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Número de animales:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", false); + this.set("showTable", true); + this.set("classNone", "d-none"); + this.set("tableClassNone", "d-none"); + //$("#pills-table-tab").trigger("click"); + } else if(value === "9"){ + this.set("source", "livestock"); + this.set("variable", "num_farms"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Numero unidades de producción:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", false); + this.set("showTable", true); + this.set("classNone", "d-none"); + this.set("tableClassNone", "d-none"); + //$("#pills-table-tab").trigger("click"); } $("#selectYear").val(this.get("startDate")); diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index 5b4d852a..5a3d834e 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -230,8 +230,6 @@ export default Ember.Controller.extend({ filterData: computed('source', function(){ - console.log(this.get("model")) - if(this.get('source') == 'departments'){ return this.get('locationsData') } diff --git a/app/mixins/table-map.js b/app/mixins/table-map.js index c57f8e1e..c146d4d7 100644 --- a/app/mixins/table-map.js +++ b/app/mixins/table-map.js @@ -377,6 +377,14 @@ export default Ember.Mixin.create({ return columns; } }), + livestockDataMap: computed('featureToggle.showImports', function() { + let columns = [ + { key: 'name', copy: 'livestock' }, + { key: 'num_farms' }, + { key: 'num_livestock' }, + ]; + return columns; + }), partnersExportsMap: computed('featureToggle.showImports', function() { let columns = [ { key: 'name', copy: 'country' }, diff --git a/app/routes/location/ruralactivities.js b/app/routes/location/ruralactivities.js index d6ae56dd..5685d708 100644 --- a/app/routes/location/ruralactivities.js +++ b/app/routes/location/ruralactivities.js @@ -50,7 +50,11 @@ export default Ember.Route.extend({ var farmtypes = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/farmtypes/?level=level2`); - return RSVP.allSettled([products, dotplot, industries, subregions_trade, occupations, agproducts, landuses, ag_farmsizes, nonag_farmsizes, partners, farmtypes]).then((array) => { + var nonags = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/nonags/?level=level3`); + + var livestock = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/livestock/?level=level1`); + + return RSVP.allSettled([products, dotplot, industries, subregions_trade, occupations, agproducts, landuses, ag_farmsizes, nonag_farmsizes, partners, farmtypes, nonags, livestock]).then((array) => { var productsData = getWithDefault(array[0], 'value.data', []); var dotplotData = getWithDefault(array[1], 'value.data', []);//dotplots @@ -69,6 +73,8 @@ export default Ember.Route.extend({ var partnersData = getWithDefault(array[9], 'value.data', []); var farmtypesDataValues = getWithDefault(array[10], 'value.data', []); + var nonagsDataValues = getWithDefault(array[11], 'value.data', []); + var livestockDataValues = getWithDefault(array[12], 'value.data', []); var productsDataIndex = _.indexBy(productsData, 'product_id'); var industriesDataIndex = _.indexBy(industriesData, 'industry_data'); @@ -81,6 +87,8 @@ export default Ember.Route.extend({ let landusesMetadata = this.modelFor('application').landUses; let partnersMetadata = this.modelFor('application').partnerCountries; let farmtypesMetadata = this.modelFor('application').farmtypes; + let nonagsMetadata = this.modelFor('application').nonags; + let livestockMetadata = this.modelFor('application').livestock; //get products data for the department @@ -298,6 +306,22 @@ export default Ember.Route.extend({ return merged; }); + let nonagsData = _.map(nonagsDataValues, (d) => { + d.year = this.get('agcensusLastYear'); + let merged = _.merge(copy(d), nonagsMetadata[d.nonag_id]); + merged.group = merged.code; + return merged; + }); + + let livestockData = _.map(livestockDataValues, (d) => { + d.year = this.get('agcensusLastYear'); + let merged = _.merge(copy(d), livestockMetadata[d.livestock_id]); + merged.group = merged.code; + return merged; + }); + + + model.set('productsData', products); model.set('agproductsData', agproducts); @@ -314,6 +338,8 @@ export default Ember.Route.extend({ model.set('allPartners', allPartners); model.set('allProducts', allProducts); model.set('farmtypesData', farmtypesData); + model.set('nonagsData', nonagsData); + model.set('livestockData', livestockData); return model; }); diff --git a/app/templates/location/-regional-location-rural.hbs b/app/templates/location/-regional-location-rural.hbs index b6384774..839680b4 100644 --- a/app/templates/location/-regional-location-rural.hbs +++ b/app/templates/location/-regional-location-rural.hbs @@ -1,85 +1,93 @@
    +
    -

    Filtrar por Año

    +
    +
    -
    -
    -
    - +
    +

    Filtrar por Año

    -
    -
    - -
    +
    -
    - -
    -
    +
    +
    +
    + +
    +
    -
    -

    Selector

    -

    Utilice el selector para cambiar la Información

    -
    +
    + +
    -
    -
    -
    -
    - +
    +
    -
    -
    +
    +

    Actividades rurales

    +
    -
    +
    +

    Selector

    +

    Utilice el selector para cambiar la Información

    +
    -
    -
    +
    + +
    +
    +
    + +
    +
    + +
    + +
    -
    {{#if showGrap}} -

    {{Title}}: {{headerValue}} ({{startDate}})

    +

    {{Title}} {{headerValue}} ({{startDate}})

    {{ zoomable-treemap data=filteredData @@ -91,50 +99,397 @@ filterCategory=canFilterCategory }} {{/if}} + {{#if showMultiples}} +

    {{Title}} {{headerValue}} ({{dateValue}})

    + {{ + multiples-graph + immutableData=filteredData + data=filteredData + modelData=filteredData + dataType=source + startDate=startDate + endDate=endDate + varDependent=variable + elementId='zoomable-export-value-multple' + }} + {{/if}} + {{#if showTable}} +

    {{Title}} {{headerValue}} ({{dateValue}})

    + {{ + datlas-table + data=filteredData + source=source + entityType='' + search=search + startDate=startDate + endDate=endDate + elementId="productssourceTable" + }} + {{/if}}
    +
    +
    + + {{#link-to 'location.visualization' model.id source vizualization variable (query-params startDate=startDate endDate=endDate search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    +
    +

    Filtrar por Año

    +
    -
    -
    +
    + +
    +
    +
    + +
    +
    + +
    + +
    + + +
    + +
    + +
    +

    Actividades rurales

    +
    + +
    +

    Uso del suelo en {{model.name}}

    +
    + +
    +
    {{ datlas-table - data=filteredData - source=source - entityType='' - search=search - startDate=startDate - endDate=endDate - elementId="productssourceTable" + data=filteredDataLandUsesTop5 + source="landUse" + entityType='landUse' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables" + order=filteredDataLandUsesTop5Order }}
    +
    +
    + + {{#link-to 'location.visualization' model.id "landUses" "treemap" "area" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    +
    -
    +
    +

    Unidades de producción agropecuaria y no agropecuaria en {{model.name}}

    +
    -
    -
    +
    +
    + {{ + datlas-table + data=filteredDataFarmTypesTop5 + source="farmtypes" + entityType='farmtypes' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables2" + order=filteredDataFarmTypesTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "farmtypes" "treemap" "num_farms" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    -
    -
    - {{#link-to 'location.visualization' model.id source vizualization variable (query-params startDate=startDate endDate=startDate search='null') - class="btn btn-outline-secondary" - }} - - VER MAS - {{/link-to}} +
    +

    Hectáreas sembradas por cultivo en {{model.name}}

    +
    + +
    +
    + {{ + datlas-table + data=filteredDataLandSownTop5 + source="agproducts" + entityType='agproducts' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables3" + order=filteredDataLandSownTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "agproducts" "treemap" "land_sown" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    + + +
    +

    Hectáreas cosechadas por cultivo en {{model.name}}

    +
    + +
    +
    + {{ + datlas-table + data=filteredDataLandHarvestedTop5 + source="agproducts" + entityType='agproducts' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables4" + order=filteredDataLandHarvestedTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "agproducts" "treemap" "land_harvested" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    + + +
    +

    Toneladas producidas por cultivo {{model.name}}

    +
    + +
    +
    + {{ + datlas-table + data=filteredDataProductionTonsTop5 + source="agproducts" + entityType='agproducts' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables5" + order=filteredDataProductionTonsTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "agproducts" "treemap" "production_tons" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    + + +
    +

    Rendimiento de los cultivos en {{model.name}}

    +
    + +
    +
    + {{ + datlas-table + data=filteredDataYieldRatioTop5 + source="agproducts" + entityType='agproducts' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables6" + order=filteredDataYieldRatioTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "agproducts" "multiples" "yield_ratio" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    + + +
    +

    Actividades no agropecuarias en {{model.name}}

    +
    + +
    +
    + {{ + datlas-table + data=filteredDataNonagsNumFarmsTop5 + source="nonags" + entityType='nonags' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables7" + order=filteredDataNonagsNumFarmsTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "nonags" "treemap" "num_farms" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    + +
    +

    Especies pecuarias en {{model.name}}

    +
    + +
    +
    + {{ + datlas-table + data=filteredDataLiveStockNumTop5 + source="livestockData" + entityType='livestockData' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables8" + order=filteredDataLiveStockNumTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "livestock" "treemap" "num_livestock" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    + + +
    +

    UPAS actividad pecuaria por especie en {{model.name}}

    +
    + +
    +
    + {{ + datlas-table + data=filteredDataLiveStockNumFarmsTop5 + source="livestockData" + entityType='livestockData' + startDate=startDateTable + endDate=startDateTable + elementId="productssourceTables9" + order=filteredDataLiveStockNumFarmsTop5Order + }} +
    + +
    +
    + + {{#link-to 'location.visualization' model.id "livestock" "treemap" "num_farms" (query-params startDate=startDateTable endDate=startDateTable search='null') + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} + +
    +
    + +
    + + +
    + +
    \ No newline at end of file diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index d1d7aa05..8e9524b2 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -31,14 +31,23 @@
    -
    -

    {{pageTitle}}

    -
    + {{#if (is-equal hideVisualization false)}} + +
    +

    {{pageTitle}}

    +
    + +
    +

    {{ t 'graph_builder.types' }}

    + {{partial "partials/buildermod-drawer-change-graph"}} +
    + + {{else}} +
    +

    {{pageTitle}}

    +
    + {{/if}} -
    -

    {{ t 'graph_builder.types' }}

    - {{partial "partials/buildermod-drawer-change-graph"}} -
    @@ -140,6 +149,26 @@ {{/unless}} + {{#if (is-equal hideVisualization true)}} +
    + {{component 'visualization-explanation' text=visualizationExplanation}} +
    +
    + + {{ + datlas-table + data=filteredDataTable + source=source + entityType=entityType + search=search + startDate=startDate + endDate=endDate + elementId="sourceTable" + }} + +
    + {{/if}} +
    {{#if (is-equal entityType "product")}} @@ -240,6 +269,26 @@
    {{/if}} + {{#if (is-equal source "nonags")}} +
    +
    + {{#link-to 'location.ruralactivities' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + + {{#if (is-equal source "livestock")}} +
    +
    + {{#link-to 'location.ruralactivities' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    +
    + {{/if}} + {{/if}} From 411ce1abf51f94ece77140a2442691902e92df8e Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 12 Sep 2021 20:02:25 -0500 Subject: [PATCH 028/126] Release 0.12.1 --- app/components/autocomplete-input-datlas.js | 8 ++++++++ app/components/datlas-table.js | 9 ++++++--- app/components/zoomable-treemap.js | 22 +++++++++++++++++++++ app/controllers/visualization.js | 4 ++++ app/index.html | 1 + app/routes/location/visualization.js | 2 -- app/templates/agproduct/-questions.hbs | 1 - app/templates/industry/show.hbs | 10 ++++++++++ app/templates/land-use/-questions.hbs | 1 - app/templates/livestock/-questions.hbs | 1 - app/templates/partials/-pageheader.hbs | 4 ++-- package.json | 2 +- 12 files changed, 54 insertions(+), 11 deletions(-) diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js index 8e51dfbc..923eaadb 100644 --- a/app/components/autocomplete-input-datlas.js +++ b/app/components/autocomplete-input-datlas.js @@ -166,6 +166,14 @@ export default Ember.Component.extend({ }); }), + updatebuildermodSearchService: observer('buildermodSearchService.search', function () { + if(this.get("buildermodSearchService.search") === null){ + let id_select = this.get('idSelect'); + var $eventSelect = $(`#${id_select}`); + $eventSelect.val(''); + $eventSelect.trigger('change'); + } + }), actions: { reset: function() { this.set('search', null); diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js index f7e9e129..2510739f 100644 --- a/app/components/datlas-table.js +++ b/app/components/datlas-table.js @@ -1,5 +1,6 @@ import Ember from 'ember'; import TableMap from '../mixins/table-map'; +import numeral from 'numeral'; const {computed, observer, get:get} = Ember; @@ -96,6 +97,7 @@ export default Ember.Component.extend(TableMap, { }), formatNumber: (number, key, i18n) => { + var decimalVars = [ 'export_rca', 'eci', @@ -140,7 +142,8 @@ export default Ember.Component.extend(TableMap, { if(_.include(wageVarsInThousands, key)){ return numeral(number).divide(1000).format('0,0'); } else if(_.include(decimalVars, key)){ - return numeral(number).format('0.00a'); + var result = numeral(number).format('0.00a') + return String(result).replace(",", "@").replace(".", "").replace("@", "."); } else if(key === 'employment'){ return numeral(Math.ceil(number)).format('0,0'); } else if(key === 'num_establishments' || key === 'export_num_plants'){ @@ -261,7 +264,7 @@ export default Ember.Component.extend(TableMap, { "fillHorizontal": "Rellenar celdas horizontalmente", "fillVertical": "Rellenar celdas verticalmentemente" }, - "decimal": ",", + "decimal": ".", "searchBuilder": { "add": "Añadir condición", "button": { @@ -349,7 +352,7 @@ export default Ember.Component.extend(TableMap, { "_": "%d filas seleccionadas" } }, - "thousands": ".", + "thousands": ",", "datetime": { "previous": "Anterior", "next": "Proximo", diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index 29ab76fc..87111207 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -304,6 +304,26 @@ export default Ember.Component.extend({ .attr("transform", "translate(" + margin.left + "," + margin.top + ")") .style("shape-rendering", "crispEdges"); + if(data.values.length === 0){ + var zero_g = svg.append("g") + + var rectdata = zero_g.append("rect") + .attr("y", -margin.top) + .attr("width", width) + .attr("height", height) + .style("fill", "#C2C4FF") + .style("stroke", "#292A48") + + zero_g.append("text") + .attr("x", width/3 + width/15) + .attr("y", height/2) + .attr("dy", ".75em") + .style("font-family", "sans-serif") + .style("font-size", "1.5rem") + .text("NO HAY DATOS DISPONIBLES"); + + } + var grandparent = svg.append("g") .attr("class", "grandparent"); @@ -383,6 +403,8 @@ export default Ember.Component.extend({ root = data; } + + initialize(root); accumulate(root); layout(root); diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index 5a3d834e..ab9dd962 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -874,6 +874,10 @@ export default Ember.Controller.extend({ return _.contains(timeRange, get(d, 'year')); }); }, + updateSearch: observer('source', 'variable', function () { + this.set('buildermodSearchService.search', null) + }), + scrollTopWhenUpdate: observer('variable', function() { window.scrollTo(0,0); }), diff --git a/app/index.html b/app/index.html index e86d5e25..9f47514e 100644 --- a/app/index.html +++ b/app/index.html @@ -78,6 +78,7 @@ + {{content-for 'body-footer'}} diff --git a/app/routes/location/visualization.js b/app/routes/location/visualization.js index 71ec9bd9..27bdd494 100644 --- a/app/routes/location/visualization.js +++ b/app/routes/location/visualization.js @@ -184,8 +184,6 @@ export default Ember.Route.extend({ let {model, agproducts } = hash; let agproductsMetadata = this.modelFor('application').agproducts; - var ids = [] - let data = _.map(agproducts.data, (d) => { let merged = _.merge(copy(d), agproductsMetadata[d.agproduct_id]); diff --git a/app/templates/agproduct/-questions.hbs b/app/templates/agproduct/-questions.hbs index 95a095ce..3d68090f 100644 --- a/app/templates/agproduct/-questions.hbs +++ b/app/templates/agproduct/-questions.hbs @@ -77,7 +77,6 @@
    -
    diff --git a/app/templates/industry/show.hbs b/app/templates/industry/show.hbs index e3f449e5..df0c1626 100755 --- a/app/templates/industry/show.hbs +++ b/app/templates/industry/show.hbs @@ -166,3 +166,13 @@ {{/if}} + +
    +
    + {{#link-to 'industry.visualization' model.id 'departments' 'geo' 'employment' (query-params startDate=lastYear endDate=lastYear toolTips="rca") + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    diff --git a/app/templates/land-use/-questions.hbs b/app/templates/land-use/-questions.hbs index 4767c672..c3d5eef2 100644 --- a/app/templates/land-use/-questions.hbs +++ b/app/templates/land-use/-questions.hbs @@ -33,7 +33,6 @@ - diff --git a/app/templates/livestock/-questions.hbs b/app/templates/livestock/-questions.hbs index 6b564614..6010d4a9 100644 --- a/app/templates/livestock/-questions.hbs +++ b/app/templates/livestock/-questions.hbs @@ -54,7 +54,6 @@ - diff --git a/app/templates/partials/-pageheader.hbs b/app/templates/partials/-pageheader.hbs index 5d4d9d1d..d1c8ce9c 100755 --- a/app/templates/partials/-pageheader.hbs +++ b/app/templates/partials/-pageheader.hbs @@ -19,7 +19,7 @@ -
    + {{else}} diff --git a/package.json b/package.json index bd71adbf..cc57f176 100644 --- a/package.json +++ b/package.json @@ -32,7 +32,7 @@ "ember-cli-google-analytics": "^1.3.2", "ember-cli-htmlbars": "0.7.6", "ember-cli-inject-live-reload": "^1.3.0", - "ember-cli-numeral": "^0.1.2", + "ember-cli-numeral": "^0.2.0", "ember-cli-qunit": "0.3.13", "ember-cli-sass": "4.0.0-beta.6", "ember-cli-uglify": "^1.0.1", From 099e652c0b015b3d62d8c5eff8df0363fe9f768a Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Mon, 13 Sep 2021 18:55:31 -0500 Subject: [PATCH 029/126] Release 0.12.2 --- .../autocomplete-chained-input-datlas.js | 8 +- app/components/zoomable-treemap.js | 7 +- app/controllers/index.js | 2 +- app/controllers/search.js | 8 +- app/controllers/visualization.js | 12 ++ app/locales/es-col/translations.js | 12 +- .../components/buildermod-search.hbs | 177 +++++++++++++----- .../components/small-multiples-set.hbs | 4 +- app/templates/visualization.hbs | 2 + 9 files changed, 177 insertions(+), 55 deletions(-) diff --git a/app/components/autocomplete-chained-input-datlas.js b/app/components/autocomplete-chained-input-datlas.js index c7bec4fa..6ea87bc5 100644 --- a/app/components/autocomplete-chained-input-datlas.js +++ b/app/components/autocomplete-chained-input-datlas.js @@ -83,8 +83,14 @@ export default Ember.Component.extend({ var data = [] var placeholder = this.get("placeHolder") + var data_search = this.get('data_search'); - this.get('data_search').filter(item => { + + if(data_search === undefined){ + data_search = [] + } + + data_search.filter(item => { return item.id == searchSelect1 }).map(item => { item.chained.map(item => data.push(item)) diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index 87111207..507bc026 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -249,6 +249,7 @@ export default Ember.Component.extend({ var value_text = this.get('i18n').t(`graph_builder.table.${this.get('varDependent')}`).string; var self = this; var canUpdateBuildermodSearchService = this.get("canUpdateBuildermodSearchService"); + var varDependent = this.get('varDependent'); var defaults = { margin: {top: 24, right: 0, bottom: 0, left: 0}, @@ -359,10 +360,14 @@ export default Ember.Component.extend({ } var mousemove = function(d) { + var valueFormated = self.formatNumber(d.value, varDependent, self.get('i18n')); + let dataTooltip = ''; if(d.hasOwnProperty("tooltips")){ d.tooltips.forEach(item =>{ + //DIDI + dataTooltip += `

    ${item.name}: ${item.value}

    `; }); } @@ -371,7 +376,7 @@ export default Ember.Component.extend({ Tooltip .html(`

    ${d.key}

    -

    ${defaults.value_text}: ${d.value}

    +

    ${defaults.value_text}: ${valueFormated}

    ${dataTooltip}

    ${defaults.percent_text}: ${(d.area * 100).toFixed(1)} %

    `) diff --git a/app/controllers/index.js b/app/controllers/index.js index 20092ecc..ef17557b 100644 --- a/app/controllers/index.js +++ b/app/controllers/index.js @@ -21,7 +21,7 @@ export default Ember.Controller.extend({ locationsData: computed('model.locations', 'i18n.locale', function() { - let locations = get(this, 'model.locations'); + let locations = get(this, 'model.locations').filter(item => item.id !== '0'); let locale = this.get('i18n').display return locations.map(function(location){ diff --git a/app/controllers/search.js b/app/controllers/search.js index 5893e80f..1d40da4d 100644 --- a/app/controllers/search.js +++ b/app/controllers/search.js @@ -17,12 +17,16 @@ export default Ember.Controller.extend({ //console.log(filter); + if(filter === "location"){ + model = {"location": model.location.filter(item => item.id !== '0')}; + } + if(filter === "locations_route"){ - model = {"location": model.location} + model = {"location": model.location.filter(item => item.id !== '0')}; } if(filter === "products_route"){ - model = {"product": model.product} + model = {"product": model.product}; } diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index ab9dd962..bdc96a00 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -311,6 +311,18 @@ export default Ember.Controller.extend({ } return [this.get('firstYear'), this.get('lastYear')]; }), + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), dateRange: computed('dateExtent', function() { return d3.range(this.get('dateExtent')[0], this.get('dateExtent')[1] + 1); }), diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 6adc3b63..313af703 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -784,8 +784,12 @@ export default { "export_value": "Exportaciones (En millones de dólares FOB)", "import_value": "Importaciones (En millones de dólares FOB)", - "modal.geo.visualization.title": "Ayuda del componente", - "modal.geo.visualization.p1": "En el selector de año haga uso de los botones ", - "modal.geo.visualization.p2": "para navegar por los años, esto hara que el componente y su información varie dependiendo de la selección.", - "modal.geo.visualization.p3": "En el siguiente componente puede ingresar o selecionar un termino, esto hara que la visualización y su información se actualice.", + "modal.visualization.title": "Ayuda del componente", + "modal.visualization.p1": "En el selector de año haga uso de los botones ", + "modal.visualization.p2": "para navegar por los años, esto hara que el componente y su información varie dependiendo de la selección.", + "modal.visualization.p3": "En el Buscador haga uso del siguiente campo", + "modal.visualization.p4.departments": "para diligenciar un termino de busqueda en este caso puede ser por departamento o codigo CIIU, esto hara que el componente y su información varie dependiendo del termino buscado.", + "modal.visualization.p4.cities": "para diligenciar un termino de busqueda en este caso puede ser por departamento, ciudad o codigo CIIU, esto hara que el componente y su información varie dependiendo del termino buscado.", + "modal.visualization.p4.partners": "para diligenciar un termino de busqueda en este caso puede ser por nombre del país y/o región, esto hara que el componente y su información varie dependiendo del termino buscado.", + "modal.visualization.p4.products": "para diligenciar un termino de busqueda en este caso puede ser por nombre de producto o partida arancelaria, esto hara que el componente y su información varie dependiendo del termino buscado.", }; diff --git a/app/templates/components/buildermod-search.hbs b/app/templates/components/buildermod-search.hbs index ff89c59b..fdfc3aa3 100644 --- a/app/templates/components/buildermod-search.hbs +++ b/app/templates/components/buildermod-search.hbs @@ -76,63 +76,152 @@
    - {{#if (is-equal visualization "geo")}} -
    -
    - -
    -

    1. {{ t 'modal.geo.visualization.p1'}}

    - -

    {{startDate}}

    - -

    {{ t 'modal.geo.visualization.p2'}}

    + {{#if isSingleYearData}} + {{#if (is-equal visualization "geo")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    + +
    -
    -

    2. {{ t 'modal.geo.visualization.p3'}}

    - {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} + {{/if}} + + {{#if (is-equal visualization "treemap")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    +
    -
    - + {{/if}} + + {{#if (is-equal visualization "multiples")}} + + {{#if (is-equal source "partners")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    +

    REGIÓN

    + {{autocomplete-chained-input-datlas data_search=filterDataNull type='chained' idSelect='searchSelect3' idSelect2='searchSelect4' source=source search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    + +
    -
    - {{/if}} + {{else}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    + +
    +
    + {{/if}} - {{#if (is-equal visualization "treemap")}} -
    -
    - -
    -

    1. {{ t 'modal.geo.visualization.p1'}}

    - -

    {{startDate}}

    - -

    {{ t 'modal.geo.visualization.p2'}}

    + {{/if}} + {{else}} + {{#if (is-equal visualization "geo")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p1'}}

    + +

    {{startDate}}

    + +

    {{ t 'modal.visualization.p2'}}

    +
    +
    +

    2. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    -
    -

    2. {{ t 'modal.geo.visualization.p3'}}

    - {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +
    +
    -
    - + {{/if}} + + {{#if (is-equal visualization "treemap")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p1'}}

    + +

    {{startDate}}

    + +

    {{ t 'modal.visualization.p2'}}

    +
    +
    +

    2. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    + +
    -
    - {{/if}} + {{/if}} - {{#if (is-equal visualization "multiples")}} -
    -
    - -
    -

    1. {{ t 'modal.geo.visualization.p3'}}

    - {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} + {{#if (is-equal visualization "multiples")}} + {{#if (is-equal source "partners")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    +

    REGIÓN

    + {{autocomplete-chained-input-datlas data_search=filterDataNull type='chained' idSelect='searchSelect3' idSelect2='searchSelect4' source=source search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    +
    -
    - + {{else}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    + +
    -
    + {{/if}} + {{/if}} {{/if}} diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 8e9524b2..d8131bf4 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -82,6 +82,8 @@ canYearToggle=canYearToggle isScatter=isScatter rcaFilter=rcaFilter + isSingleYearData=isSingleYearData + source=source }}
    From 8f981c38b744e5abfab446733e6030354a3d1815 Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Wed, 15 Sep 2021 00:03:57 -0500 Subject: [PATCH 030/126] add deploy yml --- .github/workflows/aws.yml | 85 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 85 insertions(+) create mode 100644 .github/workflows/aws.yml diff --git a/.github/workflows/aws.yml b/.github/workflows/aws.yml new file mode 100644 index 00000000..fa6624ab --- /dev/null +++ b/.github/workflows/aws.yml @@ -0,0 +1,85 @@ +# This workflow will build and push a new container image to Amazon ECR, +# and then will deploy a new task definition to Amazon ECS, when a release is created +# +# To use this workflow, you will need to complete the following set-up steps: +# +# 1. Create an ECR repository to store your images. +# For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`. +# Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name. +# Replace the value of `aws-region` in the workflow below with your repository's region. +# +# 2. Create an ECS task definition, an ECS cluster, and an ECS service. +# For example, follow the Getting Started guide on the ECS console: +# https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun +# Replace the values for `service` and `cluster` in the workflow below with your service and cluster names. +# +# 3. Store your ECS task definition as a JSON file in your repository. +# The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`. +# Replace the value of `task-definition` in the workflow below with your JSON file's name. +# Replace the value of `container-name` in the workflow below with the name of the container +# in the `containerDefinitions` section of the task definition. +# +# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`. +# See the documentation for each action used below for the recommended IAM policies for this IAM user, +# and best practices on handling the access key credentials. + +on: + release: + types: [created] + +name: Deploy to Amazon ECS + +jobs: + deploy: + name: Deploy + runs-on: ubuntu-latest + environment: production + + steps: + - name: Checkout + uses: actions/checkout@v2 + + - name: Configure AWS credentials + uses: aws-actions/configure-aws-credentials@v1 + with: + aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} + aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + aws-region: us-east-2 + + - name: Login to Amazon ECR + id: login-ecr + uses: aws-actions/amazon-ecr-login@v1 + + - name: Build, tag, and push image to Amazon ECR + id: build-image + env: + ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }} + ECR_REPOSITORY: ${{ secrets.ECR_REPOSITORY }} + IMAGE_TAG: ${{ github.sha }} + run: | + # Build a docker container and + # push it to ECR so that it can + # be deployed to ECS. + docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG . + docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG + echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" + + - name: Download task definition + run: | + aws ecs describe-task-definition --task-definition datlas-col-app-front --query taskDefinition > task-definition.json + + - name: Fill in the new image ID in the Amazon ECS task definition + id: task-def + uses: aws-actions/amazon-ecs-render-task-definition@v1 + with: + task-definition: task-definition.json + container-name: ${{ secrets.CONTAINER_NAME }} + image: ${{ steps.build-image.outputs.image }} + + - name: Deploy Amazon ECS task definition + uses: aws-actions/amazon-ecs-deploy-task-definition@v1 + with: + task-definition: ${{ steps.task-def.outputs.task-definition }} + service: ${{ secrets.ECS_SERVICE_NAME }} + cluster: ${{ secrets.ECS_CLUSTER }} + wait-for-service-stability: true From 3c68ad61424f746bbd9bc0f024ca42f5992e5c0f Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Wed, 15 Sep 2021 00:36:51 -0500 Subject: [PATCH 031/126] prueba deploy --- .env.colombia | 2 +- .github/workflows/aws.yml | 6 +++--- docker-compose.yml | 13 +++++-------- docker/Dockerfile | 2 +- 4 files changed, 10 insertions(+), 13 deletions(-) diff --git a/.env.colombia b/.env.colombia index 1e22c824..b151fbb4 100644 --- a/.env.colombia +++ b/.env.colombia @@ -1,6 +1,6 @@ GA=Winter_is_coming OTHER_LOCALE=en-col DEFAULT_LOCALE=es-col -API_URL=http://atlas-colombia-harvard.cid-labs.com/api +API_URL=http://ec2-18-206-197-15.compute-1.amazonaws.com:8888 DOWNLOAD_URL=https://s3.amazonaws.com/datlas-colombia-downloads MAP_URL=http://download.geofabrik.de/south-america/colombia.html diff --git a/.github/workflows/aws.yml b/.github/workflows/aws.yml index fa6624ab..18b41806 100644 --- a/.github/workflows/aws.yml +++ b/.github/workflows/aws.yml @@ -60,14 +60,14 @@ jobs: # Build a docker container and # push it to ECR so that it can # be deployed to ECS. - docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG . + docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG -f ./docker/Dockerfile . docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" - + - name: Download task definition run: | aws ecs describe-task-definition --task-definition datlas-col-app-front --query taskDefinition > task-definition.json - + - name: Fill in the new image ID in the Amazon ECS task definition id: task-def uses: aws-actions/amazon-ecs-render-task-definition@v1 diff --git a/docker-compose.yml b/docker-compose.yml index 3f5e6ed0..b97afa8b 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -5,14 +5,11 @@ services: build: context: . dockerfile: docker/Dockerfile + image: atlas-colombia-front-app + container_name: atlas_col_front_app + restart: always ports: - - 80:80 - env_file: .env + - "80:80" + env_file: .env.colombia volumes: - ./docker/conf.d:/etc/nginx/conf.d - networks: - - atlas_network - -networks: - atlas_network: - driver: bridge diff --git a/docker/Dockerfile b/docker/Dockerfile index 9c8cca13..50f14fe9 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -2,6 +2,7 @@ FROM node:6.13.1 as build-stage WORKDIR /usr/src/ember COPY . /usr/src/ember/ +COPY .env.colombia .env RUN npm install -g ember-cli@1.13.1 RUN npm install -g bower RUN npm install -g sass @@ -13,5 +14,4 @@ RUN ember build --environment=production # production stage FROM nginx:stable-alpine as production-stage COPY --from=build-stage /usr/src/ember/dist /usr/share/nginx/html -EXPOSE 80 CMD ["nginx", "-g", "daemon off;"] From 11ada787ca51cb0876714854eb8839e0b34dafdb Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Wed, 15 Sep 2021 00:43:44 -0500 Subject: [PATCH 032/126] prueba deploy --- .github/workflows/aws.yml | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/.github/workflows/aws.yml b/.github/workflows/aws.yml index 18b41806..b66eb4d3 100644 --- a/.github/workflows/aws.yml +++ b/.github/workflows/aws.yml @@ -24,8 +24,10 @@ # and best practices on handling the access key credentials. on: - release: - types: [created] + push: + branches: [ master ] + pull_request: + branches: [ master ] name: Deploy to Amazon ECS From 373e3f525e144681d8fa27b080cb592895b7852c Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Wed, 15 Sep 2021 00:45:31 -0500 Subject: [PATCH 033/126] prueba deploy --- .github/workflows/aws.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/aws.yml b/.github/workflows/aws.yml index b66eb4d3..f97c0e44 100644 --- a/.github/workflows/aws.yml +++ b/.github/workflows/aws.yml @@ -35,7 +35,7 @@ jobs: deploy: name: Deploy runs-on: ubuntu-latest - environment: production + environment: deploy steps: - name: Checkout @@ -46,7 +46,7 @@ jobs: with: aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} - aws-region: us-east-2 + aws-region: ${{ secrets.AWS_REGION_NAME }} - name: Login to Amazon ECR id: login-ecr From 2394837a86d68fb3bf54c38d2b841b0e0d703949 Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Wed, 15 Sep 2021 01:07:16 -0500 Subject: [PATCH 034/126] prueba deploy --- .github/workflows/aws.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/aws.yml b/.github/workflows/aws.yml index f97c0e44..b9e88929 100644 --- a/.github/workflows/aws.yml +++ b/.github/workflows/aws.yml @@ -22,7 +22,6 @@ # 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`. # See the documentation for each action used below for the recommended IAM policies for this IAM user, # and best practices on handling the access key credentials. - on: push: branches: [ master ] From 9bcbd5aa4912c93aa504567d2651e8b9114915e0 Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Wed, 15 Sep 2021 11:40:54 -0500 Subject: [PATCH 035/126] fix: remove malpelo --- vendor/geodata/col.topojson | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vendor/geodata/col.topojson b/vendor/geodata/col.topojson index 5747479b..13250136 100644 --- a/vendor/geodata/col.topojson +++ b/vendor/geodata/col.topojson @@ -1 +1 @@ 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From b716198b9d6ca2cf6c3daed122ea1204b3ffec2d Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Thu, 16 Sep 2021 16:05:35 -0500 Subject: [PATCH 036/126] fix: fix multiple graphs --- app/components/multiples-graph.js | 8 +++++--- app/styles/components/_variables.scss | 1 + .../components/_visualizations/_area-chart-multiples.scss | 2 +- 3 files changed, 7 insertions(+), 4 deletions(-) diff --git a/app/components/multiples-graph.js b/app/components/multiples-graph.js index e3921502..fc6093f5 100644 --- a/app/components/multiples-graph.js +++ b/app/components/multiples-graph.js @@ -107,7 +107,7 @@ export default Ember.Component.extend({ .data(data, (d,i) => { return [d.key, i, this.get('i18n').locale]; }); var div = container.enter().append('div') - .attr('class', 'multiple d-flex flex-row col-12 col-md-6 col-lg-3 pt-5') + .attr('class', 'multiple d-flex flex-row col-12 col-md-6 col-lg-3 pt-5 ' + this.get('markerGroup')) .style('background-color', '#292A48'); //has to be retrieved after the 'multiple' div is appended. @@ -426,7 +426,7 @@ export default Ember.Component.extend({ var PDF_Width = 800; var PDF_Height = 600; var pdf = new jsPDF('l', 'pt', [PDF_Width, PDF_Height]); - var domNodes = $('.multiple'); + var domNodes = $('.multiple.' + this.get('markerGroup')); var totalPDFPages = domNodes.length; var countPages = totalPDFPages; var d = new Date(); @@ -438,7 +438,9 @@ export default Ember.Component.extend({ height: domNode.clientHeight * 4, style: { transform: 'scale(' + 4 + ')', - transformOrigin: 'top left' + transformOrigin: 'top left', + padding: 0, + paddingTop: '30px' } }; diff --git a/app/styles/components/_variables.scss b/app/styles/components/_variables.scss index 67c3c716..e100cd6d 100755 --- a/app/styles/components/_variables.scss +++ b/app/styles/components/_variables.scss @@ -131,6 +131,7 @@ $fontIcon: 'icons' !default; // Defining font sizes $fontXTiny: 1rem !default; +$fontMTiny: 1.1rem !default; $fontTiny: 1.3rem !default; $fontSmall: 1.6rem !default; $fontBase: 2rem !default; diff --git a/app/styles/components/_visualizations/_area-chart-multiples.scss b/app/styles/components/_visualizations/_area-chart-multiples.scss index b0bef2d7..e97ffbbc 100755 --- a/app/styles/components/_visualizations/_area-chart-multiples.scss +++ b/app/styles/components/_visualizations/_area-chart-multiples.scss @@ -70,7 +70,7 @@ } .chart__wrap { - font-size: $fontTiny; + font-size: $fontMTiny; text { fill: white; } From 1f6e8f35e85a7e83ecac91b0304ccb138523856a Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Fri, 17 Sep 2021 22:05:30 -0500 Subject: [PATCH 037/126] fear: dynamic map colors --- app/components/geo-map.js | 12 ++- app/components/visualization-legend-geomap.js | 18 ++-- app/controllers/visualization.js | 8 +- app/styles/components/_variables.scss | 14 +++ .../components/_visualizations/_geo.scss | 92 ++++++++++++++++--- app/templates/visualization.hbs | 8 +- 6 files changed, 125 insertions(+), 27 deletions(-) diff --git a/app/components/geo-map.js b/app/components/geo-map.js index d81b3d9c..e0a2e5e7 100644 --- a/app/components/geo-map.js +++ b/app/components/geo-map.js @@ -120,21 +120,25 @@ export default Ember.Component.extend({ let nestByDepartmentId = d3.nest() .key(function(d) { return Ember.get(d,'department_id'); }) .entries(data); - + var self = this; _.forEach(nestByDepartmentId, function(location) { let params = {}; toolTipsData.forEach(varDependent => { let sum = _.sum(location.values, varDependent) || 0; let shadeClass = sum === 0 ? 'q0' : quantize(sum); - + let alterShadeClass = ''; + if (self.get('endDate') || self.get('startDate')){ + const date = self.get('endDate') || self.get('startDate'); + alterShadeClass = `s${date % 3}`; + } if(range !== null){ if(shadeClass !== range[2]){ - shadeClass = 'q0' + shadeClass = 'q0'; } } params[varDependent] = { value: _.sum(location.values, varDependent), - class: `geo__department ${shadeClass}`, + class: `geo__department ${shadeClass} ${alterShadeClass}`, }; }); valueMap.set(parseInt(location.key), params); diff --git a/app/components/visualization-legend-geomap.js b/app/components/visualization-legend-geomap.js index 5b9968ec..26d76daf 100644 --- a/app/components/visualization-legend-geomap.js +++ b/app/components/visualization-legend-geomap.js @@ -5,14 +5,20 @@ const {computed} = Ember; export default Ember.Component.extend({ mapService: Ember.inject.service(), firstLegend: null, + firstStartDate: null, + firstEndDate: null, activeLegend: null, - staticLegend: computed('legend', function(){ - let legend = this.get('legend') - if (!this.get('firstLegend')) { - this.set('firstLegend', legend) - return legend + staticLegend: computed('legend', 'endDate', 'startDate', function(){ + let legend = this.get('legend'); + const endDate = this.get('endDate'); + const startDate = this.get('startDate'); + if (!this.get('firstLegend') || endDate !== this.get('firstEndDate') || startDate !== this.get('firstStartDate')){ + this.set('firstLegend', legend); + this.set('firstStartDate', startDate); + this.set('firstEndDate', endDate); + return legend; } else { - return this.get('firstLegend') + return this.get('firstLegend'); } }), diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index bdc96a00..3714fc71 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -549,14 +549,20 @@ export default Ember.Controller.extend({ }), geoLegend: computed('scale', function(){ let scale = this.get('scale'); + var self = this; return scale.range().map(function(t){ let extents = scale.invertExtent(t); + let alterShadeClass = ''; + if (self.get('endDate') || self.get('startDate')){ + const date = self.get('endDate') || self.get('startDate'); + alterShadeClass = `s${date % 3}`; + } return { "start": numeral(extents[0]).format('0.0a'), "start_value": extents[0], "end": numeral(extents[1]).format('0.0a'), "end_value": extents[1], - "class": new Ember.Handlebars.SafeString(`fa fa-circle ${scale(extents[0])}`), + "class": new Ember.Handlebars.SafeString(`fa fa-circle ${scale(extents[0])} ${alterShadeClass}`), "range": `${scale(extents[0])}` }; }); diff --git a/app/styles/components/_variables.scss b/app/styles/components/_variables.scss index 67c3c716..46e921b3 100755 --- a/app/styles/components/_variables.scss +++ b/app/styles/components/_variables.scss @@ -83,6 +83,20 @@ $colorGreenQ2-5: rgb(255,152,0); $colorGreenQ3-5: rgb(245,124,0); $colorGreenQ4-5: rgb(230,81,0); +//Map alter Blue Scale +$colorBlueQ0-5: #BBDEFB; +$colorBlueQ1-5: #64B5F6; +$colorBlueQ2-5: #2196F3; +$colorBlueQ3-5: #1976D2; +$colorBlueQ4-5: #0D47A1; + +//Map alter Pink Scale +$colorPinkQ0-5: #F8BBD0; +$colorPinkQ1-5: #F06292; +$colorPinkQ2-5: #E91E63; +$colorPinkQ3-5: #C2185B; +$colorPinkQ4-5: #880E4F; + $colorNavy200: rgb( 204, 204, 214 ); $colorNavy400: rgb( 154, 153, 172 ); $colorNavy600: rgb( 103, 102, 131 ); diff --git a/app/styles/components/_visualizations/_geo.scss b/app/styles/components/_visualizations/_geo.scss index 292508a4..df10105b 100755 --- a/app/styles/components/_visualizations/_geo.scss +++ b/app/styles/components/_visualizations/_geo.scss @@ -39,37 +39,99 @@ } // The scale if the value is positive - .q0-5 { + .q0-5.s0 { fill: $colorGreenQ0-5; } - .q1-5 { + .q0-5.s1 { + fill: $colorBlueQ0-5; + } + .q0-5.s2 { + fill: $colorPinkQ0-5; + } + .q1-5.s0 { fill: $colorGreenQ1-5; } - .q2-5 { + .q1-5.s1 { + fill: $colorBlueQ1-5; + } + .q1-5.s2 { + fill: $colorPinkQ1-5; + } + .q2-5.s0 { fill: $colorGreenQ2-5; } - .q3-5 { + .q2-5.s1 { + fill: $colorBlueQ2-5; + } + .q2-5.s2 { + fill: $colorPinkQ2-5; + } + .q3-5.s0 { fill: $colorGreenQ3-5; } - .q4-5 { + .q3-5.s1 { + fill: $colorBlueQ3-5; + } + .q3-5.s2 { + fill: $colorPinkQ3-5; + } + .q4-5.s0 { fill: $colorGreenQ4-5; } + .q4-5.s1 { + fill: $colorBlueQ4-5; + } + .q4-5.s2 { + fill: $colorPinkQ4-5; + } +} + +.q0-5.s0 { + color: $colorGreenQ0-5; +} +.q0-5.s1 { + color: $colorBlueQ0-5; +} +.q0-5.s2 { + color: $colorPinkQ0-5; +} +.q1-5.s0 { + color: $colorGreenQ1-5; +} +.q1-5.s1 { + color: $colorBlueQ1-5; +} +.q1-5.s2 { + color: $colorPinkQ1-5; +} +.q2-5.s0 { + color: $colorGreenQ2-5; +} +.q2-5.s1 { + color: $colorBlueQ2-5; +} +.q2-5.s2 { + color: $colorPinkQ2-5; } -.q0-5 { - color: $colorGreenQ0-5; +.q3-5.s0 { + color: $colorGreenQ3-5; } -.q1-5 { - color: $colorGreenQ1-5; +.q3-5.s1 { + color: $colorBlueQ3-5; } -.q2-5 { - color: $colorGreenQ2-5; +.q3-5.s2 { + color: $colorPinkQ3-5; +} + +.q4-5.s0 { + color: $colorGreenQ4-5; } -.q3-5 { - color: $colorGreenQ3-5; +.q4-5.s1 { + color: $colorBlueQ4-5; } -.q4-5 { - color: $colorGreenQ4-5; +.q4-5.s2 { + color: $colorPinkQ4-5; } diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index d8131bf4..c08cc354 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -122,7 +122,13 @@ {{#unless isGeo }} {{else}} - {{component 'visualization-legend-geomap' legend=geoLegend varDependent=varDependent classNames='col-md-4 d-flex flex-column justify-content-around' }} + {{component 'visualization-legend-geomap' + legend=geoLegend + varDependent=varDependent + startDate=startDate + dateExtent=dateExtent + endDate=endDate + classNames='col-md-4 d-flex flex-column justify-content-around' }} {{/unless}} {{/if}} From fc3b87e8db3813c60cb172303c8a2ff15d0a10db Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Tue, 21 Sep 2021 08:46:38 -0500 Subject: [PATCH 038/126] update aws.yml --- .github/workflows/aws.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/aws.yml b/.github/workflows/aws.yml index b9e88929..eaf1bf66 100644 --- a/.github/workflows/aws.yml +++ b/.github/workflows/aws.yml @@ -34,7 +34,7 @@ jobs: deploy: name: Deploy runs-on: ubuntu-latest - environment: deploy + environment: deploy2 steps: - name: Checkout @@ -67,7 +67,7 @@ jobs: - name: Download task definition run: | - aws ecs describe-task-definition --task-definition datlas-col-app-front --query taskDefinition > task-definition.json + aws ecs describe-task-definition --task-definition ${{ secrets.ECS_TASK_DEFINITION }} --query taskDefinition > task-definition.json - name: Fill in the new image ID in the Amazon ECS task definition id: task-def From 51e98fdc7cc1002b704862cf86a7b522f9a9fc15 Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Tue, 21 Sep 2021 09:12:11 -0500 Subject: [PATCH 039/126] Update aws.yml From 7f535c6cd8b68cd21b14c429181d4694f079dc7c Mon Sep 17 00:00:00 2001 From: Diego Andres Fonseca Soto Date: Tue, 21 Sep 2021 09:14:18 -0500 Subject: [PATCH 040/126] Update bower.json --- bower.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/bower.json b/bower.json index d484485e..3473e3f1 100644 --- a/bower.json +++ b/bower.json @@ -28,7 +28,7 @@ "d3": "~3.5.5", "FileSaver.js": "https://github.com/eligrey/FileSaver.js.git#v2.0.4", "papaparse": "~4.1.2", - "vis-toolkit": "https://github.com/Dandresfsoto/vis-toolkit.git#master" + "vis-toolkit": "https://github.com/cid-harvard/vis-toolkit.git#master" }, "resolutions": { "d3": "~3.5.5", From 4a12b7c88986dfa70d9a48e28623b92399bd6536 Mon Sep 17 00:00:00 2001 From: Julian Gil Date: Tue, 21 Sep 2021 12:46:50 -0500 Subject: [PATCH 041/126] Update .env.colombia --- .env.colombia | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.env.colombia b/.env.colombia index b151fbb4..c4b30bcc 100644 --- a/.env.colombia +++ b/.env.colombia @@ -1,6 +1,6 @@ GA=Winter_is_coming OTHER_LOCALE=en-col DEFAULT_LOCALE=es-col -API_URL=http://ec2-18-206-197-15.compute-1.amazonaws.com:8888 +API_URL=http://192.168.254.76:9001 DOWNLOAD_URL=https://s3.amazonaws.com/datlas-colombia-downloads MAP_URL=http://download.geofabrik.de/south-america/colombia.html From 20579f5f8edf9ba17061cac33cdf4d4deef8dfe1 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Wed, 22 Sep 2021 07:28:36 -0500 Subject: [PATCH 042/126] Release 0.12.3 --- app/components/department-city-filter.js | 135 ++++++ app/components/stream-header.js | 1 + app/components/vistk-network.js | 382 +++++++++++++---- app/controllers/location/show.js | 3 + app/controllers/product/complexmap.js | 332 +++++++++++++++ .../product/complexmapprimaries.js | 388 ++++++++++++++++++ app/index.html | 4 + app/router.js | 2 + app/routes/product/complexmap.js | 69 ++++ app/routes/product/complexmapprimaries.js | 69 ++++ app/services/buildermod-search-service.js | 3 +- .../department-city-filter-service.js | 8 + app/services/vistk-network-service.js | 9 + .../components/_components/_tooltip.scss | 57 +++ .../components/_modules/_stream-header.scss | 18 + .../components/_visualizations/_network.scss | 6 + .../components/department-city-filter.hbs | 15 + app/templates/components/stream-header.hbs | 5 + app/templates/components/vistk-network.hbs | 23 +- .../location/-department-dotplots.hbs | 6 +- app/templates/product/abstract.hbs | 12 +- app/templates/product/complexmap.hbs | 132 ++++++ app/templates/product/complexmapprimaries.hbs | 165 ++++++++ .../components/department-city-filter-test.js | 27 ++ 24 files changed, 1785 insertions(+), 86 deletions(-) create mode 100644 app/components/department-city-filter.js create mode 100644 app/controllers/product/complexmap.js create mode 100644 app/controllers/product/complexmapprimaries.js create mode 100644 app/routes/product/complexmap.js create mode 100644 app/routes/product/complexmapprimaries.js create mode 100644 app/services/department-city-filter-service.js create mode 100644 app/services/vistk-network-service.js create mode 100644 app/templates/components/department-city-filter.hbs create mode 100644 app/templates/product/complexmap.hbs create mode 100644 app/templates/product/complexmapprimaries.hbs create mode 100644 tests/integration/components/department-city-filter-test.js diff --git a/app/components/department-city-filter.js b/app/components/department-city-filter.js new file mode 100644 index 00000000..cab7a72e --- /dev/null +++ b/app/components/department-city-filter.js @@ -0,0 +1,135 @@ +import Ember from 'ember'; +const {computed, get, observer} = Ember; + +export default Ember.Component.extend({ + + i18n: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + + chained_data: [], + + runSelect: computed('idSelect', 'data_search', 'placeHolder', 'search', 'i18n', function(){ + + let id_select = this.get('idSelect'); + var $eventSelect = $(`#departmentSelect`); + let self = this; + var data = this.get("departmentsDataSelect") + var placeholder = "Busque por departamento" + + if(data === undefined){ + data = [] + } + + data.unshift({ id: "", text: ""}) + + $eventSelect.select2({ + placeholder: placeholder, + allowClear: true, + theme: 'bootstrap4', + language: this.get('i18n').display, + width: '100%', + dropdownAutoWidth : true, + data: data, + containerCssClass: "flex-fill", + templateSelection: function (data, container) { + $(data.element).attr('data-key', data.key); + return data.text; + } + }); + + $eventSelect.on("select2:select", function (e) { + + let id = $eventSelect.val(); + var parent = _.indexBy(self.get("departmentsDataSelect"), 'id') + + var $eventSelect2 = $(`#citySelect`); + var data = parent[id].chained + var placeholder = "Busque por ciudad" + + if(data === undefined){ + data = [] + } + + data.unshift({ id: "", text: ""}) + + $(`#citySelect`).find('option').remove().end(); + + $eventSelect2.select2({ + placeholder: placeholder, + allowClear: true, + theme: 'bootstrap4', + language: self.get('i18n').display, + width: '100%', + dropdownAutoWidth : true, + data: data, + containerCssClass: "flex-fill", + templateSelection: function (data, container) { + $(data.element).attr('data-key', data.key); + return data.text; + } + }); + + }); + }), + runSelect2: computed(function(){ + + var $eventSelect = $(`#citySelect`); + let self = this; + var data = [] + var placeholder = "Busque por ciudad" + + data.unshift({ id: "", text: ""}) + + $eventSelect.select2({ + placeholder: placeholder, + allowClear: true, + theme: 'bootstrap4', + language: this.get('i18n').display, + width: '100%', + dropdownAutoWidth : true, + data: data, + containerCssClass: "flex-fill", + templateSelection: function (data, container) { + $(data.element).attr('data-key', data.key); + return data.text; + } + }); + }), + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender', this , function() { + + this.get("chained_data"); + this.get("runSelect"); + this.get("runSelect2"); + + }); + }, + actions:{ + filterDepartment(){ + + let id = $(`#departmentSelect`).val(); + let text = $(`#departmentSelect option:selected`).text(); + + if(id !== ""){ + this.set("departmentCityFilterService.name", text); + this.set("departmentCityFilterService.id", id); + $("#spinner_complexmap").removeClass("d-none") + $("#complexmap").addClass("d-none") + $("#complexmaptable").addClass("d-none") + } + + }, + filterCity(){ + let id = $(`#citySelect`).val(); + let text = $(`#citySelect option:selected`).text(); + + if(id !== ""){ + this.set("departmentCityFilterService.name", text); + this.set("departmentCityFilterService.id", id); + $("#spinner_complexmap").removeClass("d-none") + $("#complexmap").addClass("d-none") + $("#complexmaptable").addClass("d-none") + } + } + } +}); diff --git a/app/components/stream-header.js b/app/components/stream-header.js index 60da9a53..edc1c531 100644 --- a/app/components/stream-header.js +++ b/app/components/stream-header.js @@ -16,6 +16,7 @@ export default Ember.Component.extend({ isLocation: computed.equal('type', 'location'), isLocationRoute: computed.equal('extra_type', 'location_route'), + isProductRoute: computed.equal('extra_type', 'product_route'), isProduct: computed.equal('type', 'product'), isIndustry: computed.equal('type', 'industry'), isLandUse: computed.equal('type', 'landUse'), diff --git a/app/components/vistk-network.js b/app/components/vistk-network.js index 1cf3d500..05104e90 100644 --- a/app/components/vistk-network.js +++ b/app/components/vistk-network.js @@ -5,28 +5,30 @@ const {computed, observer, get, set} = Ember; export default Ember.Component.extend({ i18n: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), tagName: 'div', height: 500, - categoriesFilter: null, - VCRValue: 1, inmutableDataInternal: null, + showPrimaries: false, + updatedData: null, classNames: ['buildermod__viz'], attributeBindings: ['width','height'], varIndependent: ['group', 'code'], id: computed('elementId', function() { return `#${this.get('elementId')} section`; }), - networkData: computed('data.[]','nodes', 'dataMetadata', 'categoriesFilter', function() { + networkData: computed('data.[]','nodes', 'dataMetadata', function() { let indexedData = _.indexBy(this.get('data'), 'id'); let metadataIndex = this.get('dataMetadata'); - var networkData = _.map(this.get('nodes'), function(d) { let datum = indexedData[d.id] || metadataIndex[d.id]; if(datum) { d.name_short_en = datum.name_short_en + ` (${datum.code})`; d.name_short_es = datum.name_short_es + ` (${datum.code})`; + d.parent_name_en = datum.parent_name_en; + d.parent_name_es = datum.parent_name_es; d.color = datum.color; d[this.get('varDependent')] = datum[this.get('varDependent')]; d[this.get('varRCA')] = datum[this.get('varRCA')]; @@ -62,9 +64,78 @@ export default Ember.Component.extend({ edges: computed('dataType', function() { return this.get('graph').edges; }), - network: computed('data.[]', 'varDependent', 'dataType', 'vis', 'i18n.locale', 'toolTipsData', function() { + getPrimariesSecondaries: function (id) { + + var edges = this.get('edges'); + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source.id == id || e.target.id == id; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source.id !== 'undefined' && typeof e.target.id !== 'undefined') { + return e.source.id == id2 || e.target.id == id2; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + network: computed('data.[]', 'varDependent', 'dataType', 'vis', 'i18n.locale', 'toolTipsData', 'categoriesFilterList', 'vistkNetworkService.updated', function() { + + console.log(this.get("vistkNetworkService.updated")) + let vistkLanguage = this.get('i18n.display') === 'es' ? 'es_ES': 'en_EN'; + var selectedProducts = this.get("selectedProducts"); + var VCRValue = this.get("VCRValue"); + var categoriesFilter = this.get("categoriesFilterList"); + var showPrimaries = this.get("showPrimaries"); + + console.log(selectedProducts) + + if(categoriesFilter == undefined){ + categoriesFilter = [] + } + + if(VCRValue == undefined){ + VCRValue = 1 + } + var tooltips = ["complexity"]; + var self = this; + var width = self.get("width"); + var height = self.get("height"); + var elementId = this.get("elementId"); + return vistk.viz().params({ type: 'productspace', @@ -86,87 +157,228 @@ export default Ember.Component.extend({ var_id: 'id', items: [{ attr: 'name', - marks: [{ + marks: [ + { type: 'circle', fill: (d) => { //if there is no search, color products export > 0 and rca > 1 // industries if RCA > 1 ( varDependent for industries is also rca ) - if(d[this.get('varRCA')] >= 1){ - return d.color; + if(d[this.get('varRCA')] >= VCRValue){ + if(categoriesFilter.length > 0){ + if(categoriesFilter.includes(d.parent_name_es)){ + return d.color; + } + } + else{ + return d.color; + } + } }, class: (d) => { - if(d[this.get('varRCA')] > 1) { + if(d[this.get('varRCA')] > VCRValue) { return 'node--is--highlighted'; } - }, evt: [{ - type: 'selection', - func: function(d, i, vars) { - var l = vars.new_data.filter(function(d) { - return d.__highlighted__adjacent || d.__selected; - }).map(function(d) { - return d.id; - }); + }, + evt: [ + { + type: 'selection', + func: function(d, i, vars) { - vars.refresh = true; - //vars.zoom = l; + var primaries = vars.new_data.filter(item => item.__selected__adjacent && item.id != d.id).map(item => item.id) + var secondaries = vars.new_data.filter(item => item.__selected__secondary).map(item => item.id).filter(item => !primaries.contains(item)) - // Remove tooltips - d3.select(vars.container).selectAll(".items__mark__text").remove(); - d3.select(vars.container).selectAll(".items__mark__div").remove(); - d3.select(vars.container).call(vars.this_chart); - } - }] + if(selectedProducts !== undefined){ + if(!Object.keys(selectedProducts).includes(d.id)){ + selectedProducts[`${d.id}`] = self.getPrimariesSecondaries(`${d.id}`) + self.set('vistkNetworkService.updated', new Date()); + //selectedProducts.push(d.id) + //self.set('vistkNetworkService.updated', new Date()); + } + } + + + var l = vars.new_data.filter(function(d) { + return d.__highlighted__adjacent || d.__selected || d.__selected__secondary; + }).map(function(d) { + return d.id; + }); + + + + //console.log(primaries) + //console.log(secondaries) + + vars.refresh = true; + vars.zoom = l; + + // Remove _s + d3.select(vars.container).selectAll(".items__mark__text").remove(); + d3.select(vars.container).selectAll(".items__mark__div").remove(); + + d3.select(vars.container).call(vars.this_chart); + d3.selectAll(`.tooltip_${d.id}_${elementId}`).classed('d-none', false); + } + }, + ] }, - { - var_mark: '__highlighted', - type: d3.scale.ordinal().domain([true, false]).range(['div', 'none']), - x: function(d, i, vars) { - var offset = 0; - if(vars.scale > 1) { - offset = vars.width/2; - } - return (vars.x_scale[0]["func"](d[vars.var_x]) - vars.translate_x) * vars.scale + offset; - }, - y: function(d, i, vars) { - var offset = 0; - if(vars.scale > 1) { - offset = vars.height/2; - } - return (vars.y_scale[0]["func"](d[vars.var_y]) - vars.translate_y) * vars.scale + offset; - }, - class: function() { return 'tooltip'; }, - text: (d) => { - var data = [{ - 'key': this.get('varRCA'), - 'value': get(d,this.get('varRCA')) - },{ - 'key': this.get('varAmount'), - 'value':get(d,this.get('varAmount')) - } - ]; + { + type: 'div', + x: function(d, i, vars) { + var offset = 0; + if(vars.scale > 1) { + offset = vars.width/2; + } + return (vars.x_scale[0]["func"](d[vars.var_x]) - vars.translate_x) * vars.scale + offset; + }, + y: function(d, i, vars) { - for(let tooltip of tooltips){ - data.push({'key': tooltip, 'value': get(d,tooltip)}); - } + var offset = 0; + if(vars.scale > 1) { + offset = vars.height/2; + } + return (vars.y_scale[0]["func"](d[vars.var_y]) - vars.translate_y) * vars.scale + offset; + }, + class: function(d) { + + if(selectedProducts !== undefined){ + if(Object.keys(selectedProducts).contains(String(d.id))){ + + var left = parseInt($(`.tooltip_${d.id}_${elementId}`).css("left")); + var top = parseInt($(`.tooltip_${d.id}_${elementId}`).css("top")); + if(left > 0 && top > 0 && top < height && left < width){ + d3.selectAll(`.tooltip_${d.id}_${elementId}`).classed("d-none", false); + } + + + if(showPrimaries){ + for(let id of Object.keys(selectedProducts)){ + for(let id2 of Object.keys(selectedProducts[id])){ + setTimeout(function(){ + d3.selectAll(`.connected_${id}_${id2}`).classed("selected", true) + d3.selectAll(`.connected_${id2}_${id}`).classed("selected", true) + }, 2000) + } + + } + } + + + } - var textItem = get(d, `name_short_${this.get('i18n').display}`) || d.code; - var tooltip_text = `${textItem}`; - data.forEach((datum) => { - if(datum.key) { - let formattedValue = numeral(get(datum, 'value')).format('0.00a'); - tooltip_text += '
    ' + this.get('i18n').t(`graph_builder.table.${get(datum,'key')}`) + ': ' + formattedValue; } - }); - return tooltip_text; + + + $( `#close_tooltip_${d.id}_${elementId}` ).click(function() { + + if(selectedProducts !== undefined){ + + if(selectedProducts[`${d.id}`]["close"] == false){ + self.set('vistkNetworkService.updated', new Date()); + $( `.tooltip_${d.id}_${elementId}` ).addClass("d-none"); + }else { + delete selectedProducts[`${d.id}`] + self.set('vistkNetworkService.updated', new Date()); + $( `.tooltip_${d.id}_${elementId}` ).addClass("d-none"); + } + + } + + + }); + + if(selectedProducts !== undefined){ + if(Object.keys(selectedProducts).contains(d.id)){ + return `tooltip_network tooltip_${d.id}_${elementId}`; + } + } + + + return `d-none tooltip_network tooltip_${d.id}_${elementId}`; + }, + text: (d) => { + var data = [{ + 'key': this.get('varRCA'), + 'value': get(d,this.get('varRCA')) + },{ + 'key': this.get('varAmount'), + 'value':get(d,this.get('varAmount')) + } + ]; + + for(let tooltip of tooltips){ + data.push({'key': tooltip, 'value': get(d,tooltip)}); + } + + var textItem = get(d, `name_short_${this.get('i18n').display}`) || d.code; + + var tooltip_text = `x${textItem}`; + + data.forEach((datum) => { + if(datum.key) { + let formattedValue = numeral(get(datum, 'value')).format('0.00a'); + tooltip_text += '
    ' + this.get('i18n').t(`graph_builder.table.${get(datum,'key')}`) + ': ' + formattedValue; + } + }); + + return tooltip_text; + }, + width: 250, + height: 'auto', + translate: [0, -10] + }, + { + var_mark: '__highlighted', + type: d3.scale.ordinal().domain([true, false]).range(['div', 'none']), + x: function(d, i, vars) { + var offset = 0; + if(vars.scale > 1) { + offset = vars.width/2; + } + return (vars.x_scale[0]["func"](d[vars.var_x]) - vars.translate_x) * vars.scale + offset; + }, + y: function(d, i, vars) { + + var offset = 0; + if(vars.scale > 1) { + offset = vars.height/2; + } + return (vars.y_scale[0]["func"](d[vars.var_y]) - vars.translate_y) * vars.scale + offset; + }, + class: function() { return 'tooltip'; }, + text: (d) => { + var data = [{ + 'key': this.get('varRCA'), + 'value': get(d,this.get('varRCA')) + },{ + 'key': this.get('varAmount'), + 'value':get(d,this.get('varAmount')) + } + ]; + + for(let tooltip of tooltips){ + data.push({'key': tooltip, 'value': get(d,tooltip)}); + } + + var textItem = get(d, `name_short_${this.get('i18n').display}`) || d.code; + var tooltip_text = `${textItem}`; + + data.forEach((datum) => { + if(datum.key) { + let formattedValue = numeral(get(datum, 'value')).format('0.00a'); + tooltip_text += '
    ' + this.get('i18n').t(`graph_builder.table.${get(datum,'key')}`) + ': ' + formattedValue; + } + }); + + return tooltip_text; + }, + width: 250, + height: 'auto', + translate: [0, -10] }, - width: 250, - height: 'auto', - translate: [0, -10] - } ] }] }); @@ -290,6 +502,22 @@ export default Ember.Component.extend({ didInsertElement: function() { Ember.run.scheduleOnce('afterRender', this , function() { this.set("inmutableDataInternal", this.get("data")); + + var self = this; + + $(".js-range-slider").ionRangeSlider({ + skin: "sharp", + min: 0, + max: 10, + grid: true, + step: 0.5, + from: 1, + onFinish: function (data) { + self.set("VCRValue", data.from); + self.set('vistkNetworkService.updated', new Date()); + }, + }); + if(!this.get('width')){ this.set('width', this.$().parent().width()); } d3.select(this.get('id')).call(this.get('network')); @@ -325,13 +553,8 @@ export default Ember.Component.extend({ }, update_categories_filter: observer('categoriesFilter', function () { var categoriesFilter = this.get("categoriesFilter"); - var updated = this.get("inmutableDataInternal").filter(item => categoriesFilter.includes(item.parent_name_es) ) - this.set("data", updated) - }), - update_vcr_filter: observer('VCRValue', function () { - var VCRValue = this.get("VCRValue"); - var updated = this.get("inmutableDataInternal").filter(item => item.rca >= VCRValue ) - this.set("data", updated) + //var updated = this.get("inmutableDataInternal").filter(item => categoriesFilter.includes(item.parent_name_es) ) + this.set("vistkNetworkService.categoriesFilter", categoriesFilter) }), update: observer('data.[]', 'varDependent', 'i18n.locale', function() { @@ -458,7 +681,7 @@ export default Ember.Component.extend({ } - this.set("categoriesFilter", categoriesFilter); + this.set("categoriesFilterList", categoriesFilter); //this.set("treemapService.filter_update", new Date()) //this.set("treemapService.filter_updated_data", updatedData) @@ -469,8 +692,11 @@ export default Ember.Component.extend({ check(index, attr) { this.updateCategoriesObject(index, attr); }, - range_update(){ - this.set("VCRValue", $("#customRange1").val()); - } + savePng() { + + }, + savePdf() { + + }, } }); diff --git a/app/controllers/location/show.js b/app/controllers/location/show.js index 5b7e5919..8e7f27d7 100644 --- a/app/controllers/location/show.js +++ b/app/controllers/location/show.js @@ -5,10 +5,13 @@ const {computed, get:get} = Ember; export default Ember.Controller.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), queryParams: ['year'], startDate: null, endDate: null, + categoriesFilterListlastProductsData: [], + categoriesFilterListlastIndustryData: [], firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), diff --git a/app/controllers/product/complexmap.js b/app/controllers/product/complexmap.js new file mode 100644 index 00000000..95ebc44e --- /dev/null +++ b/app/controllers/product/complexmap.js @@ -0,0 +1,332 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + getPrimariesSecondaries: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source == id || e.target == id; + } else { + return false; + } + }) + .map(item => { + if(item.source == id){ + return item.target + } + else { + return item.source + } + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source == id2 || e.target == id2; + } else { + return false; + } + }) + .map(item => { + if(item.source == id2){ + return item.target + } + else { + return item.source + } + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + selected_products[id] = this.getPrimariesSecondaries(id) + + return selected_products + }), + selectedProducts: computed('model.[]', function () { + return this.get("initialSelectedProducts"); + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); + + this.set("selectedProducts", initialSelectedProducts); + console.log(this.get("selectedProducts")) + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = this.getPrimariesSecondaries(String(item.id)) + self.set('vistkNetworkService.updated', new Date()); + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + entityType: "product", + source: "products", + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + departmentsDataSelect: computed("model", function () { + + this.set("selectedProducts", this.get("initialSelectedProducts")) + + var all_locations = Object.values(this.get("model.metaData.locations")) + + var locations = all_locations.filter(item => item.level === "department").map( (item) => { + var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) + return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} + }) + return locations + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var productsData = this.get("productsData") + var result = productsData.filter(item => Object.keys(selectedProducts).includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + this.set('startDate', this.get('lastYear')); + this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + dataNull: [], + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataLocationsTop5Export: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + exportDataCities: computed('model.data', 'startDate', function (){ + return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); + }), + + + filteredDataCitiesTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + + exportDataPartners: computed('model.data', 'startDate', function (){ + return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataPartnersTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + actions: { + setStartYear(){ + + var year = parseInt($("#selectYear").val()); + + this.set('startDate', year); + this.set('endDate', year); + } + } +}); + + diff --git a/app/controllers/product/complexmapprimaries.js b/app/controllers/product/complexmapprimaries.js new file mode 100644 index 00000000..b0f4bebc --- /dev/null +++ b/app/controllers/product/complexmapprimaries.js @@ -0,0 +1,388 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + getPrimariesSecondaries: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source == id || e.target == id; + } else { + return false; + } + }) + .map(item => { + if(item.source == id){ + return item.target + } + else { + return item.source + } + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source == id2 || e.target == id2; + } else { + return false; + } + }) + .map(item => { + if(item.source == id2){ + return item.target + } + else { + return item.source + } + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source.id == id || e.target.id == id; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source.id !== 'undefined' && typeof e.target.id !== 'undefined') { + return e.source.id == id2 || e.target.id == id2; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + selected_products[id] = this.getPrimariesSecondaries(id) + + return selected_products + }), + selectedProducts: computed('model.[]', function () { + return this.get("initialSelectedProducts"); + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search == ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); + + this.set("selectedProducts", initialSelectedProducts); + this.set('vistkNetworkService.updated', new Date()); + + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = self.getPrimariesSecondaries2(parseInt(item.id)) + self.set('vistkNetworkService.updated', new Date()); + console.log(self.get("selectedProducts")); + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + entityType: "product", + source: "products", + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + departmentsDataSelect: computed("model", function () { + + this.set("selectedProducts", this.get("initialSelectedProducts")) + + var all_locations = Object.values(this.get("model.metaData.locations")) + + var locations = all_locations.filter(item => item.level === "department").map( (item) => { + var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) + return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} + }) + return locations + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + } + + } + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + this.set('startDate', this.get('lastYear')); + this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + dataNull: [], + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataLocationsTop5Export: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + exportDataCities: computed('model.data', 'startDate', function (){ + return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); + }), + + + filteredDataCitiesTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + + exportDataPartners: computed('model.data', 'startDate', function (){ + return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataPartnersTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + actions: { + setStartYear(){ + + var year = parseInt($("#selectYear").val()); + + this.set('startDate', year); + this.set('endDate', year); + } + } +}); + + diff --git a/app/index.html b/app/index.html index 9f47514e..22550ab5 100644 --- a/app/index.html +++ b/app/index.html @@ -30,6 +30,8 @@ + + @@ -79,6 +81,8 @@ + + {{content-for 'body-footer'}} diff --git a/app/router.js b/app/router.js index ae8a768d..a4835748 100644 --- a/app/router.js +++ b/app/router.js @@ -25,6 +25,8 @@ export default Router.map(function() { this.resource('product', { path: 'product'}, function() { this.route('show', { path: ':product_id'}); this.route('abstract', { path: ':product_id/abstract/'}); + this.route('complexmap', { path: ':product_id/complexmap/'}); + this.route('complexmapprimaries', { path: ':product_id/complexmap/primaries/'}); this.route('visualization', { path: ':product_id/source/:source_type/visualization/:visualization_type/:variable'}); }); diff --git a/app/routes/product/complexmap.js b/app/routes/product/complexmap.js new file mode 100644 index 00000000..565e05c9 --- /dev/null +++ b/app/routes/product/complexmap.js @@ -0,0 +1,69 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + product_id: null, + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + let {product_id} = params; + set(this, 'product_id', product_id); + + let hash = { + model: this.store.find('product', product_id), + products_col: $.getJSON(`${apiURL}/data/location/0/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + startDate: this.get('firstYear'), + endDate: this.get('lastYear') + }); + } + } +}); diff --git a/app/routes/product/complexmapprimaries.js b/app/routes/product/complexmapprimaries.js new file mode 100644 index 00000000..565e05c9 --- /dev/null +++ b/app/routes/product/complexmapprimaries.js @@ -0,0 +1,69 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + product_id: null, + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + let {product_id} = params; + set(this, 'product_id', product_id); + + let hash = { + model: this.store.find('product', product_id), + products_col: $.getJSON(`${apiURL}/data/location/0/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + startDate: this.get('firstYear'), + endDate: this.get('lastYear') + }); + } + } +}); diff --git a/app/services/buildermod-search-service.js b/app/services/buildermod-search-service.js index f2186100..002a01af 100644 --- a/app/services/buildermod-search-service.js +++ b/app/services/buildermod-search-service.js @@ -1,5 +1,6 @@ import Ember from 'ember'; export default Ember.Service.extend({ - search: null + search: null, + id: null }); diff --git a/app/services/department-city-filter-service.js b/app/services/department-city-filter-service.js new file mode 100644 index 00000000..3c083700 --- /dev/null +++ b/app/services/department-city-filter-service.js @@ -0,0 +1,8 @@ +import Ember from 'ember'; + +export default Ember.Service.extend({ + name: "Colombia", + id: 0, + data: null, + date: null, +}); diff --git a/app/services/vistk-network-service.js b/app/services/vistk-network-service.js new file mode 100644 index 00000000..c1022350 --- /dev/null +++ b/app/services/vistk-network-service.js @@ -0,0 +1,9 @@ +import Ember from 'ember'; + +export default Ember.Service.extend({ + selected: [], + updated: null, + data: null, + VCRValue: 1, + categoriesFilter: [] +}); diff --git a/app/styles/components/_components/_tooltip.scss b/app/styles/components/_components/_tooltip.scss index 2771aead..fc3a8894 100755 --- a/app/styles/components/_components/_tooltip.scss +++ b/app/styles/components/_components/_tooltip.scss @@ -55,3 +55,60 @@ .text-principal{ color: $colorBase; } + + +.tooltip_network { + background: $colorWhite; + height: 110%; + padding: $baseSpace/2; + z-index: $zIndex-9; + min-width: 15rem; + max-width: 25rem; + font-size: $fontTiny; + overflow: initial !important; + box-shadow: -1px -1px 5px rgba(0,0,0,0.2); + transform: translate(-50%, calc(-100% - 10px)); + opacity: 1; + color: $colorBlack; + + &:after { + top: 100%; + left: 50%; + border: solid transparent; + content: ''; + height: 0; + width: 0; + position: absolute; + pointer-events: none; + border-color: rgba(255, 255, 255, 0); + border-top-color: $colorWhite; + border-width: 10px; + margin-left: -10px; + } +} + + +.irs--sharp .irs-min, .irs--sharp .irs-max{ + background-color: $colorSecondary; +} + +.irs--sharp .irs-bar{ + background-color: $colorSecondary; +} + +.irs--sharp .irs-from, .irs--sharp .irs-to, .irs--sharp .irs-single{ + background-color: $colorSecondary; + color: $colorBase; +} + +.irs--sharp .irs-from:before, .irs--sharp .irs-to:before, .irs--sharp .irs-single:before{ + border-top-color: $colorSecondary; +} + +.irs--sharp .irs-handle{ + background-color: $colorSecondary; +} + +.irs--sharp .irs-handle>i:first-child{ + border-top-color: $colorSecondary; +} diff --git a/app/styles/components/_modules/_stream-header.scss b/app/styles/components/_modules/_stream-header.scss index ace76fb3..9ec3b163 100755 --- a/app/styles/components/_modules/_stream-header.scss +++ b/app/styles/components/_modules/_stream-header.scss @@ -278,6 +278,24 @@ } } +@media (min-width: 768px){ + .ml-md-x10{ + margin-left: ($spacer * 10) !important; + } + + .mr-md-x10{ + margin-right: ($spacer * 10) !important; + } + + .mt-md-x10{ + margin-top: ($spacer * 10) !important; + } + + .mx-md-x10{ + margin: 0 ($spacer * 10); + } +} + .center-pills { display: flex; justify-content: center; diff --git a/app/styles/components/_visualizations/_network.scss b/app/styles/components/_visualizations/_network.scss index 319545f3..658df04a 100755 --- a/app/styles/components/_visualizations/_network.scss +++ b/app/styles/components/_visualizations/_network.scss @@ -27,6 +27,12 @@ stroke: red; } +.connect__line.selected__secondary { + stroke-width: 3px; + stroke-opacity: 1; + stroke: $colorYellow; +} + .connect__line.highlighted__adjacent { stroke-width: 2px; stroke-opacity: 1; diff --git a/app/templates/components/department-city-filter.hbs b/app/templates/components/department-city-filter.hbs new file mode 100644 index 00000000..f33c0995 --- /dev/null +++ b/app/templates/components/department-city-filter.hbs @@ -0,0 +1,15 @@ +
    + +
    +

    DEPARTAMENTO

    + + +
    + +
    +

    CIUDAD

    + + +
    + +
    diff --git a/app/templates/components/stream-header.hbs b/app/templates/components/stream-header.hbs index 1405e386..a37e158e 100755 --- a/app/templates/components/stream-header.hbs +++ b/app/templates/components/stream-header.hbs @@ -50,7 +50,12 @@
    - +

    {{vistkNetworkService.updated}}

    {{vistk-network @@ -320,13 +320,14 @@ filterCategory=true title="SECTORES DE" subtitle="LOS PRODUCTOS" + categoriesFilterList=categoriesFilterListlastProductsData }}
    - +

    {{categoriesFilterListlastIndustryData}}

    {{vistk-network @@ -342,6 +343,7 @@ filterCategory=true title="SECTORES" subtitle="LOS PRODUCTOS" + categoriesFilterList=categoriesFilterListlastIndustryData }}
    diff --git a/app/templates/product/abstract.hbs b/app/templates/product/abstract.hbs index 3d2458d4..c789c4db 100644 --- a/app/templates/product/abstract.hbs +++ b/app/templates/product/abstract.hbs @@ -1,4 +1,4 @@ -{{component "stream-header" model=modelData type='product' firstYear=firstYear lastYear=lastYear}} +{{component "stream-header" model=modelData type='product' extra_type="product_route" firstYear=firstYear lastYear=lastYear}}
    @@ -219,3 +219,13 @@
    + +
    +
    + {{#link-to 'product.complexmap' modelData.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    +
    diff --git a/app/templates/product/complexmap.hbs b/app/templates/product/complexmap.hbs new file mode 100644 index 00000000..d7b70771 --- /dev/null +++ b/app/templates/product/complexmap.hbs @@ -0,0 +1,132 @@ +{{component "stream-header" model=modelData type='product' extra_type="product_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    +
    + {{#link-to 'product.complexmapprimaries' model.entity.id + class="btn btn-outline-secondary btn-block" + }} + CONEXIONES PRIMARIAS + {{/link-to}} +
    +
    + {{ + component 'department-city-filter' + departmentsDataSelect=departmentsDataSelect + }} +
    +
    +
    + +
    + +
    +
    +
    +

    {{location}}

    +
    +
    +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'product.abstract' modelData.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    diff --git a/app/templates/product/complexmapprimaries.hbs b/app/templates/product/complexmapprimaries.hbs new file mode 100644 index 00000000..29bb252c --- /dev/null +++ b/app/templates/product/complexmapprimaries.hbs @@ -0,0 +1,165 @@ +{{component "stream-header" model=modelData type='product' extra_type="product_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    + +
    +
    + {{#link-to 'product.complexmapprimaries' model.entity.id + class="btn btn-outline-secondary btn-block" + }} + CONEXIONES SECUNDARIAS + {{/link-to}} +
    +
    + +
    +
    +
    + {{#link-to 'product.complexmapprimaries' model.entity.id + class="btn btn-outline-secondary btn-block" + }} + MAPA DE PRODUCTOS + {{/link-to}} +
    +
    + +
    +
    + {{#link-to 'product.complexmapprimaries' model.entity.id + class="btn btn-outline-secondary btn-block" + }} + RING CHART + {{/link-to}} +
    +
    + +
    + + +
    +
    + + {{ + component 'department-city-filter' + departmentsDataSelect=departmentsDataSelect + }} + +
    +
    +
    +
    + +
    + +
    +
    +
    +

    {{location}}

    +
    +
    +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + showPrimaries=true + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'product.complexmap' modelData.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    diff --git a/tests/integration/components/department-city-filter-test.js b/tests/integration/components/department-city-filter-test.js new file mode 100644 index 00000000..51fffa79 --- /dev/null +++ b/tests/integration/components/department-city-filter-test.js @@ -0,0 +1,27 @@ +import { moduleForComponent, test } from 'ember-qunit'; +import hbs from 'htmlbars-inline-precompile'; + + +moduleForComponent('department-city-filter', 'Integration | Component | department city filter', { + integration: true +}); + +test('it renders', function(assert) { + assert.expect(2); + + // Set any properties with this.set('myProperty', 'value'); + // Handle any actions with this.on('myAction', function(val) { ... }); + + this.render(hbs`{{department-city-filter}}`); + + assert.equal(this.$().text(), ''); + + // Template block usage: + this.render(hbs` + {{#department-city-filter}} + template block text + {{/department-city-filter}} + `); + + assert.equal(this.$().text().trim(), 'template block text'); +}); From ea43b7e49fb49b8f66c7c0822e5e4d32d92c44aa Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Thu, 23 Sep 2021 16:23:04 -0500 Subject: [PATCH 043/126] Release 0.12.4 --- app/components/vistk-network.js | 32 +- app/controllers/product/complexmap.js | 58 ++- .../product/complexmapprimaries.js | 23 +- .../product/complexmapsecondaries.js | 418 ++++++++++++++++++ app/router.js | 1 + app/routes/product/abstract.js | 4 +- app/routes/product/complexmap.js | 5 +- app/routes/product/complexmapprimaries.js | 6 +- app/routes/product/complexmapsecondaries.js | 68 +++ app/templates/product/complexmap.hbs | 3 +- app/templates/product/complexmapprimaries.hbs | 5 +- .../product/complexmapsecondaries.hbs | 153 +++++++ 12 files changed, 751 insertions(+), 25 deletions(-) create mode 100644 app/controllers/product/complexmapsecondaries.js create mode 100644 app/routes/product/complexmapsecondaries.js create mode 100644 app/templates/product/complexmapsecondaries.hbs diff --git a/app/components/vistk-network.js b/app/components/vistk-network.js index 05104e90..16d303de 100644 --- a/app/components/vistk-network.js +++ b/app/components/vistk-network.js @@ -10,6 +10,7 @@ export default Ember.Component.extend({ height: 500, inmutableDataInternal: null, showPrimaries: false, + showSecondaries: false, updatedData: null, classNames: ['buildermod__viz'], attributeBindings: ['width','height'], @@ -112,15 +113,12 @@ export default Ember.Component.extend({ }, network: computed('data.[]', 'varDependent', 'dataType', 'vis', 'i18n.locale', 'toolTipsData', 'categoriesFilterList', 'vistkNetworkService.updated', function() { - console.log(this.get("vistkNetworkService.updated")) - let vistkLanguage = this.get('i18n.display') === 'es' ? 'es_ES': 'en_EN'; var selectedProducts = this.get("selectedProducts"); var VCRValue = this.get("VCRValue"); var categoriesFilter = this.get("categoriesFilterList"); var showPrimaries = this.get("showPrimaries"); - - console.log(selectedProducts) + var showSecondaries = this.get("showSecondaries"); if(categoriesFilter == undefined){ categoriesFilter = [] @@ -259,6 +257,16 @@ export default Ember.Component.extend({ d3.selectAll(`.connected_${id}_${id2}`).classed("selected", true) d3.selectAll(`.connected_${id2}_${id}`).classed("selected", true) }, 2000) + + if(showSecondaries){ + for(let id3 of selectedProducts[id][id2]){ + setTimeout(function(){ + d3.selectAll(`.connected_${id2}_${id3}`).classed("selected__secondary", true) + d3.selectAll(`.connected_${id3}_${id2}`).classed("selected__secondary", true) + }, 2000) + } + } + } } @@ -280,9 +288,25 @@ export default Ember.Component.extend({ self.set('vistkNetworkService.updated', new Date()); $( `.tooltip_${d.id}_${elementId}` ).addClass("d-none"); }else { + + + for(let id2 of Object.keys(selectedProducts[d.id])){ + d3.selectAll(`.connected_${d.id}_${id2}`).classed("selected", false) + d3.selectAll(`.connected_${id2}_${d.id}`).classed("selected", false) + + for(let id3 of selectedProducts[d.id][id2]){ + d3.selectAll(`.connected_${id2}_${id3}`).classed("selected__secondary", false) + d3.selectAll(`.connected_${id3}_${id2}`).classed("selected__secondary", false) + } + + } + + + delete selectedProducts[`${d.id}`] self.set('vistkNetworkService.updated', new Date()); $( `.tooltip_${d.id}_${elementId}` ).addClass("d-none"); + } } diff --git a/app/controllers/product/complexmap.js b/app/controllers/product/complexmap.js index 95ebc44e..3c214b41 100644 --- a/app/controllers/product/complexmap.js +++ b/app/controllers/product/complexmap.js @@ -58,12 +58,58 @@ export default Ember.Controller.extend({ return result_object + }, + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source.id == id || e.target.id == id; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source.id !== 'undefined' && typeof e.target.id !== 'undefined') { + return e.source.id == id2 || e.target.id == id2; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + }, initialSelectedProducts: computed('model.[]', function () { var id = this.get("model.entity.id") var selected_products = {} - selected_products[id] = this.getPrimariesSecondaries(id) + selected_products[id] = this.getPrimariesSecondaries2(parseInt(id)) return selected_products }), @@ -91,7 +137,6 @@ export default Ember.Controller.extend({ d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); this.set("selectedProducts", initialSelectedProducts); - console.log(this.get("selectedProducts")) this.set('vistkNetworkService.updated', new Date()); } else { @@ -117,7 +162,7 @@ export default Ember.Controller.extend({ result.map(item => { //selected.push(String(item.id)) - selected[String(item.id)] = this.getPrimariesSecondaries(String(item.id)) + selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) self.set('vistkNetworkService.updated', new Date()); d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); }); @@ -139,6 +184,9 @@ export default Ember.Controller.extend({ this.get('buildermodSearchService.search') return this.get("departmentCityFilterService.name"); }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), departmentsDataSelect: computed("model", function () { this.set("selectedProducts", this.get("initialSelectedProducts")) @@ -187,8 +235,8 @@ export default Ember.Controller.extend({ }), dateExtent: computed('model', function() { - this.set('startDate', this.get('lastYear')); - this.set('endDate', this.get('lastYear')); + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); return [this.get('firstYear'), this.get('lastYear')]; }), diff --git a/app/controllers/product/complexmapprimaries.js b/app/controllers/product/complexmapprimaries.js index b0f4bebc..efd9dfca 100644 --- a/app/controllers/product/complexmapprimaries.js +++ b/app/controllers/product/complexmapprimaries.js @@ -109,7 +109,7 @@ export default Ember.Controller.extend({ var id = this.get("model.entity.id") var selected_products = {} - selected_products[id] = this.getPrimariesSecondaries(id) + selected_products[id] = this.getPrimariesSecondaries2(parseInt(id)) return selected_products }), @@ -162,10 +162,21 @@ export default Ember.Controller.extend({ result.map(item => { //selected.push(String(item.id)) selected[String(item.id)] = self.getPrimariesSecondaries2(parseInt(item.id)) - self.set('vistkNetworkService.updated', new Date()); - console.log(self.get("selectedProducts")); d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); }); + + self.set('vistkNetworkService.updated', new Date()); + + for(let id of Object.keys(selected)){ + for(let id2 of Object.keys(selected[id])){ + setTimeout(function(){ + d3.selectAll(`.connected_${id}_${id2}`).classed("selected", true) + d3.selectAll(`.connected_${id2}_${id}`).classed("selected", true) + }, 2000) + } + + } + } }), @@ -184,6 +195,7 @@ export default Ember.Controller.extend({ this.get('buildermodSearchService.search') return this.get("departmentCityFilterService.name"); }), + departmentsDataSelect: computed("model", function () { this.set("selectedProducts", this.get("initialSelectedProducts")) @@ -200,6 +212,7 @@ export default Ember.Controller.extend({ filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { var selectedProducts = this.get("selectedProducts") + var ids = [] for(let id of Object.keys(selectedProducts)){ @@ -243,8 +256,8 @@ export default Ember.Controller.extend({ }), dateExtent: computed('model', function() { - this.set('startDate', this.get('lastYear')); - this.set('endDate', this.get('lastYear')); + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); return [this.get('firstYear'), this.get('lastYear')]; }), diff --git a/app/controllers/product/complexmapsecondaries.js b/app/controllers/product/complexmapsecondaries.js new file mode 100644 index 00000000..fa0929b2 --- /dev/null +++ b/app/controllers/product/complexmapsecondaries.js @@ -0,0 +1,418 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + getPrimariesSecondaries: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source == id || e.target == id; + } else { + return false; + } + }) + .map(item => { + if(item.source == id){ + return item.target + } + else { + return item.source + } + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source == id2 || e.target == id2; + } else { + return false; + } + }) + .map(item => { + if(item.source == id2){ + return item.target + } + else { + return item.source + } + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + return e.source.id == id || e.target.id == id; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source.id !== 'undefined' && typeof e.target.id !== 'undefined') { + return e.source.id == id2 || e.target.id == id2; + } else { + return false; + } + }) + .map(item => { + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + selected_products[id] = this.getPrimariesSecondaries2(parseInt(id)) + + return selected_products + }), + selectedProducts: computed('model.[]', function () { + return this.get("initialSelectedProducts"); + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search == ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); + + this.set("selectedProducts", initialSelectedProducts); + this.set('vistkNetworkService.updated', new Date()); + + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = self.getPrimariesSecondaries2(parseInt(item.id)) + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + + self.set('vistkNetworkService.updated', new Date()); + + for(let id of Object.keys(selected)){ + for(let id2 of Object.keys(selected[id])){ + setTimeout(function(){ + d3.selectAll(`.connected_${id}_${id2}`).classed("selected", true) + d3.selectAll(`.connected_${id2}_${id}`).classed("selected", true) + }, 2000) + + for(let id3 of selected[id][id2]){ + setTimeout(function(){ + d3.selectAll(`.connected_${id2}_${id3}`).classed("selected__secondary", true) + d3.selectAll(`.connected_${id3}_${id2}`).classed("selected__secondary", true) + }, 2000) + } + + } + + } + + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + entityType: "product", + source: "products", + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + + departmentsDataSelect: computed("model", function () { + + this.set("selectedProducts", this.get("initialSelectedProducts")) + + var all_locations = Object.values(this.get("model.metaData.locations")) + + var locations = all_locations.filter(item => item.level === "department").map( (item) => { + var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) + return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} + }) + return locations + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + + console.log(selectedProducts) + + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + + for(let id3 of selectedProducts[id][id2]){ + ids.push(id3) + } + + } + + } + + console.log(ids) + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + dataNull: [], + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataLocationsTop5Export: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ + var products = this.get("model.locationsData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 3, "desc" ]]; + }), + + exportDataCities: computed('model.data', 'startDate', function (){ + return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); + }), + + + filteredDataCitiesTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.citiesData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + + exportDataPartners: computed('model.data', 'startDate', function (){ + return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); + }), + + filteredDataPartnersTop5Export: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ + var products = this.get("model.partnersData") + var filtered = products.filter(item => item.year === this.get("startDate")) + var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); + return sorted; + }), + filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ + return [[ 4, "desc" ]]; + }), + + actions: { + setStartYear(){ + + var year = parseInt($("#selectYear").val()); + + this.set('startDate', year); + this.set('endDate', year); + } + } +}); + + diff --git a/app/router.js b/app/router.js index a4835748..2d920968 100644 --- a/app/router.js +++ b/app/router.js @@ -27,6 +27,7 @@ export default Router.map(function() { this.route('abstract', { path: ':product_id/abstract/'}); this.route('complexmap', { path: ':product_id/complexmap/'}); this.route('complexmapprimaries', { path: ':product_id/complexmap/primaries/'}); + this.route('complexmapsecondaries', { path: ':product_id/complexmap/secondaries/'}); this.route('visualization', { path: ':product_id/source/:source_type/visualization/:visualization_type/:variable'}); }); diff --git a/app/routes/product/abstract.js b/app/routes/product/abstract.js index 1c01d790..22675e3b 100644 --- a/app/routes/product/abstract.js +++ b/app/routes/product/abstract.js @@ -9,7 +9,7 @@ export default Ember.Route.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - + departmentCityFilterService: Ember.inject.service(), firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), product_id: null, @@ -75,6 +75,8 @@ export default Ember.Route.extend({ }); }, setupController(controller, model) { + this.set("departmentCityFilterService.id", 0); + this.set("departmentCityFilterService.name", "Colombia"); this._super(controller, model); window.scrollTo(0, 0); }, diff --git a/app/routes/product/complexmap.js b/app/routes/product/complexmap.js index 565e05c9..32645123 100644 --- a/app/routes/product/complexmap.js +++ b/app/routes/product/complexmap.js @@ -9,7 +9,7 @@ export default Ember.Route.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - + buildermodSearchService: Ember.inject.service(), firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), product_id: null, @@ -54,6 +54,7 @@ export default Ember.Route.extend({ }); }, setupController(controller, model) { + this.set('buildermodSearchService.search', null); this._super(controller, model); window.scrollTo(0, 0); }, @@ -61,8 +62,6 @@ export default Ember.Route.extend({ if (isExiting) { controller.setProperties({ - startDate: this.get('firstYear'), - endDate: this.get('lastYear') }); } } diff --git a/app/routes/product/complexmapprimaries.js b/app/routes/product/complexmapprimaries.js index 565e05c9..4b035043 100644 --- a/app/routes/product/complexmapprimaries.js +++ b/app/routes/product/complexmapprimaries.js @@ -9,7 +9,7 @@ export default Ember.Route.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - + buildermodSearchService: Ember.inject.service(), firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), product_id: null, @@ -54,15 +54,13 @@ export default Ember.Route.extend({ }); }, setupController(controller, model) { + this.set('buildermodSearchService.search', null); this._super(controller, model); window.scrollTo(0, 0); }, resetController(controller, isExiting) { - if (isExiting) { controller.setProperties({ - startDate: this.get('firstYear'), - endDate: this.get('lastYear') }); } } diff --git a/app/routes/product/complexmapsecondaries.js b/app/routes/product/complexmapsecondaries.js new file mode 100644 index 00000000..32645123 --- /dev/null +++ b/app/routes/product/complexmapsecondaries.js @@ -0,0 +1,68 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + product_id: null, + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + let {product_id} = params; + set(this, 'product_id', product_id); + + let hash = { + model: this.store.find('product', product_id), + products_col: $.getJSON(`${apiURL}/data/location/0/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + this.set('buildermodSearchService.search', null); + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/templates/product/complexmap.hbs b/app/templates/product/complexmap.hbs index d7b70771..1f715c2b 100644 --- a/app/templates/product/complexmap.hbs +++ b/app/templates/product/complexmap.hbs @@ -23,7 +23,7 @@
    - {{#link-to 'product.complexmapprimaries' model.entity.id + {{#link-to 'product.complexmapprimaries' model.entity.id (query-params startDate=startDate endDate=endDate) class="btn btn-outline-secondary btn-block" }} CONEXIONES PRIMARIAS @@ -70,6 +70,7 @@

    {{vistkNetworkService.updated}}

    +

    {{buildermodSearchService.search}}

    {{vistk-network data=productsData diff --git a/app/templates/product/complexmapprimaries.hbs b/app/templates/product/complexmapprimaries.hbs index 29bb252c..a89b0567 100644 --- a/app/templates/product/complexmapprimaries.hbs +++ b/app/templates/product/complexmapprimaries.hbs @@ -25,7 +25,7 @@
    - {{#link-to 'product.complexmapprimaries' model.entity.id + {{#link-to 'product.complexmapsecondaries' model.entity.id (query-params startDate=startDate endDate=endDate) class="btn btn-outline-secondary btn-block" }} CONEXIONES SECUNDARIAS @@ -36,7 +36,7 @@
    - {{#link-to 'product.complexmapprimaries' model.entity.id + {{#link-to 'product.complexmap' model.entity.id (query-params startDate=startDate endDate=endDate) class="btn btn-outline-secondary btn-block" }} MAPA DE PRODUCTOS @@ -102,6 +102,7 @@

    {{vistkNetworkService.updated}}

    +

    {{buildermodSearchService.search}}

    {{vistk-network data=productsData diff --git a/app/templates/product/complexmapsecondaries.hbs b/app/templates/product/complexmapsecondaries.hbs new file mode 100644 index 00000000..a3cf3196 --- /dev/null +++ b/app/templates/product/complexmapsecondaries.hbs @@ -0,0 +1,153 @@ +{{component "stream-header" model=modelData type='product' extra_type="product_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    + +
    +
    +

    CONEXIONES SECUNDARIAS

    +
    +
    + +
    + +
    +
    + {{#link-to 'product.complexmapprimaries' model.entity.id + class="btn btn-outline-secondary btn-block" + }} + RING CHART + {{/link-to}} +
    +
    + +
    + + +
    +
    + + {{ + component 'department-city-filter' + departmentsDataSelect=departmentsDataSelect + }} + +
    +
    +
    +
    + +
    + +
    +
    +
    +

    {{location}}

    +
    +
    +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + showPrimaries=true + showSecondaries=true + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'product.complexmapprimaries' modelData.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    From 5b0a7578f2af471b7ee138e135dedd352e4faefc Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sat, 25 Sep 2021 08:18:48 -0500 Subject: [PATCH 044/126] Release 0.13 --- app/components/ring-chart.js | 83 ++ app/components/vistk-network.js | 67 +- app/controllers/product/complexmap.js | 207 ++--- .../product/complexmapprimaries.js | 209 ++--- .../product/complexmapsecondaries.js | 198 ++--- app/controllers/product/ringchart.js | 784 ++++++++++++++++++ app/helpers/is-decimal.js | 7 + app/index.html | 2 + app/router.js | 1 + app/routes/product/complexmap.js | 2 +- app/routes/product/complexmapprimaries.js | 2 +- app/routes/product/complexmapsecondaries.js | 2 +- app/routes/product/ringchart.js | 74 ++ .../components/buildermod-search.hbs | 34 + app/templates/components/ring-chart.hbs | 1 + app/templates/components/vistk-network.hbs | 106 ++- app/templates/product/complexmap.hbs | 38 +- app/templates/product/complexmapprimaries.hbs | 40 +- .../product/complexmapsecondaries.hbs | 39 +- app/templates/product/ringchart.hbs | 196 +++++ public/assets/img/infografias/10.jpg | Bin 0 -> 582978 bytes public/assets/img/infografias/11.jpg | Bin 0 -> 182435 bytes public/assets/img/infografias/12.jpg | Bin 0 -> 522025 bytes tests/unit/helpers/decimal-test.js | 10 + 24 files changed, 1657 insertions(+), 445 deletions(-) create mode 100644 app/components/ring-chart.js create mode 100644 app/controllers/product/ringchart.js create mode 100644 app/helpers/is-decimal.js create mode 100644 app/routes/product/ringchart.js create mode 100644 app/templates/components/ring-chart.hbs create mode 100644 app/templates/product/ringchart.hbs create mode 100644 public/assets/img/infografias/10.jpg create mode 100644 public/assets/img/infografias/11.jpg create mode 100644 public/assets/img/infografias/12.jpg create mode 100644 tests/unit/helpers/decimal-test.js diff --git a/app/components/ring-chart.js b/app/components/ring-chart.js new file mode 100644 index 00000000..159d5590 --- /dev/null +++ b/app/components/ring-chart.js @@ -0,0 +1,83 @@ +import Ember from 'ember'; + +const {computed, observer, get, set} = Ember; + +export default Ember.Component.extend({ + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + + ring: null, + + id: computed('componentId', function () { + return `#${this.get("componentId")}`; + }), + + centerId: computed("center", function () { + return this.get("center"); + }), + + nodes: computed('dataType', function() { + return this.get('graph').nodes; + }), + edges: computed('dataType', function() { + return this.get('graph').edges; + }), + dataMetadata: computed('dataType','metadata', function() { + let type = this.get('dataType'); + return this.get(`metadata.${type}`); + }), + + networkData: computed('data.[]','nodes', 'dataMetadata', function() { + + let indexedData = _.indexBy(this.get('data'), 'id'); + let metadataIndex = this.get('dataMetadata'); + + var networkData = _.map(this.get('nodes'), function(d) { + let datum = indexedData[d.id] || metadataIndex[d.id]; + if(datum) { + d.name_short_en = datum.name_short_en + ` (${datum.code})`; + d.name_short_es = datum.name_short_es + ` (${datum.code})`; + d.parent_name_en = datum.parent_name_en; + d.parent_name_es = datum.parent_name_es; + d.color = datum.color; + //d[this.get('varDependent')] = datum[this.get('varDependent')]; + //d[this.get('varRCA')] = datum[this.get('varRCA')]; + //d[this.get('varAmount')] = datum[this.get('varAmount')]; + } + return d; + }, this); + return networkData; + }), + + network: computed('data.[]', 'dataType', 'i18n.locale', 'categoriesFilterList', function() { + var self = this; + var ring = new d3plus.Rings() + .links(this.get("edges")) + .nodes(this.get("networkData")) + .label(d => d.name_short_es) + .color(d => d.color) + .center(this.get("centerId")) + .select(this.get("id")) + .active(this.get("centerId")) + .on("mousedown", function (d) { + self.set("center", d.id) + }) + .render(); + this.set("ring", ring) + }), + + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender', this , function() { + this.get("network"); + }); + }, + observerCenter: observer("center", function () { + //d3.select(this.get('id')).selectAll('svg').remove(); + //console.log(this.get("center")) + + //this.get("ring") + //.center(this.get("center")) + //.render(); + + }) +}); diff --git a/app/components/vistk-network.js b/app/components/vistk-network.js index 16d303de..7c88d61e 100644 --- a/app/components/vistk-network.js +++ b/app/components/vistk-network.js @@ -717,10 +717,71 @@ export default Ember.Component.extend({ this.updateCategoriesObject(index, attr); }, savePng() { - + alert('Iniciando la descarga, este proceso tardara un momento.'); + var domNode = $('#complexmap')[0]; + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); + var options = { + width: domNode.clientWidth * 4, + height: domNode.clientHeight * 4, + style: { + transform: 'scale(' + 4 + ')', + transformOrigin: 'top left', + padding: 0, + paddingTop: '30px', + background: '#292A48' + }, + imagePlaceholder: "" + }; + domtoimage.toBlob(document.getElementById('complexmap'), options) + .then(function (blob) { + window.saveAs(blob, `${file_name}.png`); + }); }, - savePdf() { + savePdf: function savePdf() { + alert('Iniciando la descarga, este proceso tardara un momento.'); + var PDF_Width = 1024; + var PDF_Height = 800; + var pdf = new jsPDF('l', 'pt', [PDF_Width, PDF_Height]); + var domNodes = $('#complexmap'); + var totalPDFPages = domNodes.length; + var countPages = totalPDFPages; + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); + + for (var domNode of domNodes) { + var options = { + width: domNode.clientWidth * 4, + height: domNode.clientHeight * 4, + style: { + transform: 'scale(' + 4 + ')', + transformOrigin: 'top left', + padding: 0, + paddingTop: '30px', + background: '#292A48' + } + }; - }, + var HTML_Width = 1024; + var HTML_Height = 800; + var canvas_image_width = HTML_Width; + var canvas_image_height = HTML_Height; + + domtoimage.toJpeg(domNode, options) + .then(function (dataUrl) { + var myImage = dataUrl; + pdf.addImage(myImage, 'JPG', 0, 0, canvas_image_width, canvas_image_height); + countPages--; + if (countPages === 0) { + pdf.save(file_name + '.pdf'); + saveAs(pdf, file_name + '.pdf'); + } else { + pdf.addPage(PDF_Width, PDF_Height); + } + }) + .catch(function (error) { + }); + } + } } }); diff --git a/app/controllers/product/complexmap.js b/app/controllers/product/complexmap.js index 3c214b41..90f82af7 100644 --- a/app/controllers/product/complexmap.js +++ b/app/controllers/product/complexmap.js @@ -13,52 +13,23 @@ export default Ember.Controller.extend({ categoriesFilterList: [], elementId: 'product_space', VCRValue: 1, - getPrimariesSecondaries: function (id) { - - var edges = this.get('productSpace').edges; - var result_object = {} + entityType: "product", + source: "products", + visualization: "products", - var primaries = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source == id || e.target == id; - } else { + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ return false; + } else { + return true; } - }) - .map(item => { - if(item.source == id){ - return item.target - } - else { - return item.source - } - }) - - for(let id2 of primaries){ - var secondaries_acumm = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source == id2 || e.target == id2; - } else { - return false; - } - }) - .map(item => { - if(item.source == id2){ - return item.target - } - else { - return item.source - } - }) - .filter(item => item != id) - - result_object[`${id2}`] = secondaries_acumm - + } else { + return false; } + }), - return result_object - - }, getPrimariesSecondaries2: function (id) { var edges = this.get('productSpace').edges; @@ -66,35 +37,72 @@ export default Ember.Controller.extend({ var primaries = edges.filter(function(e) { if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source.id == id || e.target.id == id; + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } } else { return false; } }) .map(item => { - if(item.source.id == id){ - return item.target.id + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } } - else { - return item.source.id + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } } + + }) for(let id2 of primaries){ var secondaries_acumm = edges.filter(function(e) { - if(typeof e.source.id !== 'undefined' && typeof e.target.id !== 'undefined') { - return e.source.id == id2 || e.target.id == id2; + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } } else { return false; } }) .map(item => { - if(item.source.id == id2){ - return item.target.id + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } } - else { - return item.source.id + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } } + + }) .filter(item => item != id) @@ -176,9 +184,6 @@ export default Ember.Controller.extend({ return [...Array(max - min + 1).keys()].map(i => i + min); }), - entityType: "product", - source: "products", - location: computed("departmentCityFilterService.name", function (){ this.get("departmentCityFilterService.data") this.get('buildermodSearchService.search') @@ -187,18 +192,6 @@ export default Ember.Controller.extend({ locationId: computed("departmentCityFilterService.id", function (){ return this.get("departmentCityFilterService.id"); }), - departmentsDataSelect: computed("model", function () { - - this.set("selectedProducts", this.get("initialSelectedProducts")) - - var all_locations = Object.values(this.get("model.metaData.locations")) - - var locations = all_locations.filter(item => item.level === "department").map( (item) => { - var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) - return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} - }) - return locations - }), filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { @@ -295,86 +288,6 @@ export default Ember.Controller.extend({ exportDataLocations: computed('model.data', 'startDate', function (){ return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); }), - - filteredDataLocationsTop5Export: computed('model', 'startDate', function (){ - var products = this.get("model.locationsData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; - }), - - filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ - var products = this.get("model.locationsData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; - }), - - exportDataCities: computed('model.data', 'startDate', function (){ - return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); - }), - - - filteredDataCitiesTop5Export: computed('model.data', 'startDate', function (){ - var products = this.get("model.citiesData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ - var products = this.get("model.citiesData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - - exportDataPartners: computed('model.data', 'startDate', function (){ - return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); - }), - - filteredDataPartnersTop5Export: computed('model.data', 'startDate', function (){ - var products = this.get("model.partnersData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ - var products = this.get("model.partnersData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - actions: { - setStartYear(){ - - var year = parseInt($("#selectYear").val()); - - this.set('startDate', year); - this.set('endDate', year); - } - } }); diff --git a/app/controllers/product/complexmapprimaries.js b/app/controllers/product/complexmapprimaries.js index efd9dfca..ca47f3e7 100644 --- a/app/controllers/product/complexmapprimaries.js +++ b/app/controllers/product/complexmapprimaries.js @@ -13,52 +13,23 @@ export default Ember.Controller.extend({ categoriesFilterList: [], elementId: 'product_space', VCRValue: 1, - getPrimariesSecondaries: function (id) { - - var edges = this.get('productSpace').edges; - var result_object = {} + entityType: "product", + source: "products", + visualization: "products", - var primaries = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source == id || e.target == id; - } else { + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ return false; + } else { + return true; } - }) - .map(item => { - if(item.source == id){ - return item.target - } - else { - return item.source - } - }) - - for(let id2 of primaries){ - var secondaries_acumm = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source == id2 || e.target == id2; - } else { - return false; - } - }) - .map(item => { - if(item.source == id2){ - return item.target - } - else { - return item.source - } - }) - .filter(item => item != id) - - result_object[`${id2}`] = secondaries_acumm - + } else { + return false; } + }), - return result_object - - }, getPrimariesSecondaries2: function (id) { var edges = this.get('productSpace').edges; @@ -66,35 +37,72 @@ export default Ember.Controller.extend({ var primaries = edges.filter(function(e) { if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source.id == id || e.target.id == id; + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } } else { return false; } }) .map(item => { - if(item.source.id == id){ - return item.target.id + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } } - else { - return item.source.id + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } } + + }) for(let id2 of primaries){ var secondaries_acumm = edges.filter(function(e) { - if(typeof e.source.id !== 'undefined' && typeof e.target.id !== 'undefined') { - return e.source.id == id2 || e.target.id == id2; + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } } else { return false; } }) .map(item => { - if(item.source.id == id2){ - return item.target.id + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } } - else { - return item.source.id + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } } + + }) .filter(item => item != id) @@ -116,7 +124,6 @@ export default Ember.Controller.extend({ selectedProducts: computed('model.[]', function () { return this.get("initialSelectedProducts"); }), - searchFilter: observer('buildermodSearchService.search', function() { var data = this.get("model.metaData.products"); @@ -180,22 +187,16 @@ export default Ember.Controller.extend({ } }), - rangeYears: computed('firstYear', 'lastYear', function(){ var min = this.get("firstYear"); var max = this.get("lastYear"); return [...Array(max - min + 1).keys()].map(i => i + min); }), - - entityType: "product", - source: "products", - location: computed("departmentCityFilterService.name", function (){ this.get("departmentCityFilterService.data") this.get('buildermodSearchService.search') return this.get("departmentCityFilterService.name"); }), - departmentsDataSelect: computed("model", function () { this.set("selectedProducts", this.get("initialSelectedProducts")) @@ -208,7 +209,6 @@ export default Ember.Controller.extend({ }) return locations }), - filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { var selectedProducts = this.get("selectedProducts") @@ -229,7 +229,6 @@ export default Ember.Controller.extend({ return result }), - productSpace: computed.alias('model.metaData.productSpace'), productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { @@ -254,13 +253,11 @@ export default Ember.Controller.extend({ return data_filtered }), - dateExtent: computed('model', function() { //this.set('startDate', this.get('lastYear')); //this.set('endDate', this.get('lastYear')); return [this.get('firstYear'), this.get('lastYear')]; }), - productsDataValues: computed('model', function(){ var locations = Object.entries(this.get('model.metaData.products')) @@ -272,11 +269,9 @@ export default Ember.Controller.extend({ return {id:item[1].id, text: `${name} (${item[1].code})`} }) }), - placeHolderText: computed('i18n.locale', 'source', function(){ return this.get('i18n').t(`visualization.source.${this.get('source')}`).string }), - filteredDataAsync: observer("departmentCityFilterService.id", function () { var id = this.get("departmentCityFilterService.id"); @@ -302,13 +297,9 @@ export default Ember.Controller.extend({ return productsDataResponse }); }), - filterData: computed('source', function(){ return this.get('productsDataValues'); }), - - dataNull: [], - firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), occupationsData: computed.alias('model.occupationsData'), @@ -316,86 +307,6 @@ export default Ember.Controller.extend({ exportDataLocations: computed('model.data', 'startDate', function (){ return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); }), - - filteredDataLocationsTop5Export: computed('model', 'startDate', function (){ - var products = this.get("model.locationsData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; - }), - - filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ - var products = this.get("model.locationsData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; - }), - - exportDataCities: computed('model.data', 'startDate', function (){ - return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); - }), - - - filteredDataCitiesTop5Export: computed('model.data', 'startDate', function (){ - var products = this.get("model.citiesData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ - var products = this.get("model.citiesData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - - exportDataPartners: computed('model.data', 'startDate', function (){ - return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); - }), - - filteredDataPartnersTop5Export: computed('model.data', 'startDate', function (){ - var products = this.get("model.partnersData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ - var products = this.get("model.partnersData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - actions: { - setStartYear(){ - - var year = parseInt($("#selectYear").val()); - - this.set('startDate', year); - this.set('endDate', year); - } - } }); diff --git a/app/controllers/product/complexmapsecondaries.js b/app/controllers/product/complexmapsecondaries.js index fa0929b2..917a1623 100644 --- a/app/controllers/product/complexmapsecondaries.js +++ b/app/controllers/product/complexmapsecondaries.js @@ -13,52 +13,23 @@ export default Ember.Controller.extend({ categoriesFilterList: [], elementId: 'product_space', VCRValue: 1, - getPrimariesSecondaries: function (id) { - - var edges = this.get('productSpace').edges; - var result_object = {} + entityType: "product", + source: "products", + visualization: "products", - var primaries = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source == id || e.target == id; - } else { + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ return false; + } else { + return true; } - }) - .map(item => { - if(item.source == id){ - return item.target - } - else { - return item.source - } - }) - - for(let id2 of primaries){ - var secondaries_acumm = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source == id2 || e.target == id2; - } else { - return false; - } - }) - .map(item => { - if(item.source == id2){ - return item.target - } - else { - return item.source - } - }) - .filter(item => item != id) - - result_object[`${id2}`] = secondaries_acumm - + } else { + return false; } + }), - return result_object - - }, getPrimariesSecondaries2: function (id) { var edges = this.get('productSpace').edges; @@ -66,35 +37,72 @@ export default Ember.Controller.extend({ var primaries = edges.filter(function(e) { if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - return e.source.id == id || e.target.id == id; + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } } else { return false; } }) .map(item => { - if(item.source.id == id){ - return item.target.id + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } } - else { - return item.source.id + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } } + + }) for(let id2 of primaries){ var secondaries_acumm = edges.filter(function(e) { - if(typeof e.source.id !== 'undefined' && typeof e.target.id !== 'undefined') { - return e.source.id == id2 || e.target.id == id2; + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } } else { return false; } }) .map(item => { - if(item.source.id == id2){ - return item.target.id + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } } - else { - return item.source.id + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } } + + }) .filter(item => item != id) @@ -195,9 +203,6 @@ export default Ember.Controller.extend({ return [...Array(max - min + 1).keys()].map(i => i + min); }), - entityType: "product", - source: "products", - location: computed("departmentCityFilterService.name", function (){ this.get("departmentCityFilterService.data") this.get('buildermodSearchService.search') @@ -221,8 +226,6 @@ export default Ember.Controller.extend({ var selectedProducts = this.get("selectedProducts") - console.log(selectedProducts) - var ids = [] for(let id of Object.keys(selectedProducts)){ @@ -239,8 +242,6 @@ export default Ember.Controller.extend({ } - console.log(ids) - var productsData = this.get("productsData") var result = productsData.filter(item => ids.includes(String(item.id))) @@ -334,85 +335,6 @@ export default Ember.Controller.extend({ return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); }), - filteredDataLocationsTop5Export: computed('model', 'startDate', function (){ - var products = this.get("model.locationsData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; - }), - - filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ - var products = this.get("model.locationsData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; - }), - - exportDataCities: computed('model.data', 'startDate', function (){ - return this.get("model.citiesData").filter(item => item.year === this.get("startDate")); - }), - - - filteredDataCitiesTop5Export: computed('model.data', 'startDate', function (){ - var products = this.get("model.citiesData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ - var products = this.get("model.citiesData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - - exportDataPartners: computed('model.data', 'startDate', function (){ - return this.get("model.partnersData").filter(item => item.year === this.get("startDate")); - }), - - filteredDataPartnersTop5Export: computed('model.data', 'startDate', function (){ - var products = this.get("model.partnersData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); - return sorted; - }), - filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ - var products = this.get("model.partnersData") - var filtered = products.filter(item => item.year === this.get("startDate")) - var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.import_value;}), 0, 5); - return sorted; - }), - filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; - }), - - actions: { - setStartYear(){ - - var year = parseInt($("#selectYear").val()); - - this.set('startDate', year); - this.set('endDate', year); - } - } }); diff --git a/app/controllers/product/ringchart.js b/app/controllers/product/ringchart.js new file mode 100644 index 00000000..2f7049ea --- /dev/null +++ b/app/controllers/product/ringchart.js @@ -0,0 +1,784 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP, set} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + queryParams: ['startDate', 'endDate', 'centerId'], + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + + visualization: "products", + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + refreshRing: true, + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + selected_products[id] = this.getPrimariesSecondaries2(parseInt(id)) + + return selected_products + }), + + setSelectedProductsbyId: function (id) { + + var selected_products = {} + selected_products[id] = this.getPrimariesSecondaries2(parseInt(id)) + + //console.log(selected_products) + + this.set("selectedProducts", selected_products) + }, + + selectedProducts: computed('model.[]', function () { + return this.get("initialSelectedProducts"); + }), + getProduct: function (id) { + let indexedData = _.indexBy(this.get('networkData'), 'id'); + return indexedData[id] + }, + + product_selected: computed('model', 'center', function () { + var id = this.get("center") + var product = this.getProduct(id) + var product_copy = {} + + Object.assign(product_copy, product) + + return product_copy + }), + + product_primaries: [], + product_primaries_total: null, + product_secondaries: [], + product_secondaries_total: null, + + center: computed("model", function () { + return this.get("model.entity.id"); + }), + + categoriesObject: computed('model', 'i18n.locale', function() { + + var products = this.get('model.metaData.products') + var products_list = [] + var nested_data + + for(let id of Object.keys(products)){ + products_list.push(products[id]) + } + + var updatedData = products_list.map(item => { + + if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ + return { + color: _.get(item, "color"), + icon: _.get(item, "icon"), + item: item + }; + } + else{ + return { + color: _.get(item, "color"), + icon: _.get(item, "icon"), + item: item, + group: _.get(item, `parent_name_${this.get('i18n').display}`), + parent_code: _.get(item, `parent_code`), + }; + } + + }); + + if(updatedData[0] !== undefined){ + if(updatedData[0].hasOwnProperty("group")){ + if(updatedData[0].group == undefined){ + nested_data = d3.nest().entries(updatedData); + } + nested_data = d3.nest().key(function(d) { return d.group; }).entries(updatedData); + } + else{ + nested_data = d3.nest().entries(updatedData); + } + } + else{ + nested_data = [] + } + + + var categories = nested_data.map(item => { + + var color = "#33691e"; + var icon = "fas fa-atom"; + var icon_color = "#FFFFFF"; + + if(item.hasOwnProperty("color")){ + color = item.color; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("color")){ + color = item.values[0].color; + } + } + } + } + + if(item.hasOwnProperty("icon")){ + icon = item.icon; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("icon")){ + icon = item.values[0].icon; + } + } + } + } + + return { + name: item.key, + color: color, + icon: icon, + icon_color: icon_color, + hide: false, + isolate: false + }; + }); + + console.log(categories) + + Ember.run.later(this , function() { + $('.category-button').on("mouseover", function(e) { + + $(this).find("div.tooltip").removeClass("d-none") + }) + + $('.category-button').on("mouseleave", function(e) { + $(this).find("div.tooltip").addClass("d-none"); + }) + }, 100); + + return categories; + + + + + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + //var id_principal = this.get("model.entity.id"); + + + //d3.selectAll(".tooltip_network").classed("d-none", true); + //d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); + + //this.set("selectedProducts", initialSelectedProducts); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + self.set("center", item.id) + self.setSelectedProductsbyId(item.id) + this.transitionToRoute('product.ringchart', item.id, {queryParams: { endDate: this.get("endDate"), startDate: this.get("startDate"), centerId: this.get("center") }}); + + Ember.run.later(this , function() { + $(`.d3plus-id-${item.id}`).click(), + 2000 + }); + + //self.set('vistkNetworkService.updated', new Date()); + //d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + formatNumber: (number, key, i18n) => { + + var decimalVars = [ + 'export_rca', + 'eci', + 'industry_eci', + 'rca', + 'complexity', + 'distance', + 'cog', + 'coi', + 'industry_coi', + 'population', + 'yield_ratio', + 'yield_index', + 'average_livestock_load', + ]; + var percentVars = [ + 'share', + 'employment_growth' + ]; + var wageVarsInThousands = [ + 'wages', + 'avg_wages', + 'avg_wage', + ]; + var moneyVars = [ + 'gdp_pc_real', + 'gdp_real', + ]; + var largeNumbers = [ + 'export_value', + 'import_value', + 'monthly_wages', + 'average_wages', + 'area', + 'production_tons', + 'land_sown', + 'land_harvested', + 'num_farms', + 'num_livestock', + ]; + + if(_.include(wageVarsInThousands, key)){ + return numeral(number).divide(1000).format('0,0'); + } else if(_.include(decimalVars, key)){ + var result = numeral(number).format('0.00a') + return result; + } else if(key === 'employment'){ + return numeral(Math.ceil(number)).format('0,0'); + } else if(key === 'num_establishments' || key === 'export_num_plants'){ + if(parseInt(number) < 6) { + return i18n.t('graph_builder.table.less_than_5'); + } + return numeral(number).format('0,0'); + } else if(_.include(percentVars, key)){ + return numeral(number).format('0.00%'); + } else if(_.include(largeNumbers, key)) { + return numeral(number).format('0,0'); + } else if(_.include(moneyVars, key)) { + return numeral(number).format('$0.00a'); + } else { + return number; + } + }, + observerCenter: observer("center", function () { + var center = this.get("center") + this.setSelectedProductsbyId(center) + this.set('vistkNetworkService.updated', new Date()); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var self = this; + + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + + for(let id3 of selectedProducts[id][id2]){ + ids.push(id3) + } + + } + + } + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + var indexed_result = _.indexBy(result, 'id'); + + var primaries = [] + var secondaries = [] + + for(let id of Object.keys(selectedProducts)){ + + var product_selected_copy = {} + + Object.assign(product_selected_copy, indexed_result[id]) + + product_selected_copy.export_rca = self.formatNumber(product_selected_copy.export_rca, 'export_rca', this.get("i18n")) + product_selected_copy.export_value = self.formatNumber(product_selected_copy.export_value, 'export_value', this.get("i18n")) + product_selected_copy.complexity = self.formatNumber(product_selected_copy.complexity, 'complexity', this.get("i18n")) + + this.set("product_selected", product_selected_copy) + + for(let id2 of Object.keys(selectedProducts[id])){ + primaries.push(indexed_result[id2]) + + for(let id3 of selectedProducts[id][id2]){ + secondaries.push(indexed_result[id3]) + } + + } + + + if(primaries.length > 5){ + this.set("product_primaries_count", primaries.length - 5) + } + else{ + this.set("product_primaries_count", 0) + } + + this.set("product_primaries", primaries.splice(0,5)) + + + if(secondaries.length > 5){ + this.set("product_secondaries_count", secondaries.length - 5) + } + else{ + this.set("product_secondaries_count", 0) + } + + this.set("product_secondaries", secondaries.splice(0,5)) + + } + + //console.log(indexed_result) + + return result + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + entityType: "product", + source: "products", + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + departmentsDataSelect: computed("model", function () { + + this.set("selectedProducts", this.get("initialSelectedProducts")) + + var all_locations = Object.values(this.get("model.metaData.locations")) + + var locations = all_locations.filter(item => item.level === "department").map( (item) => { + var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) + return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} + }) + return locations + }), + + + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + updateCategoriesObject: function (index, attr) { + + var temp = this.get('categoriesObject').objectAt(index); + let newValue = !_.get(temp, attr); + + if(attr === "hide"){ + + if(newValue === true){ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item === index){ + set(temp, "hide", true); + set(temp, "isolate", false); + set(temp, "icon_color", "#292A48"); + } + else{ + set(temp, "isolate", false); + } + + + }); + + } + else{ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item === index){ + set(temp, "hide", false); + set(temp, "isolate", false); + set(temp, "icon_color", "#FFFFFF"); + } + else{ + set(temp, "isolate", false); + } + + }); + } + + + } + else if(attr === "isolate"){ + + if(newValue === true){ + + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item !== index){ + set(temp, "isolate", false); + set(temp, "hide", true); + set(temp, "icon_color", "#292A48"); + } + else{ + set(temp, "isolate", true); + set(temp, "hide", false); + set(temp, "icon_color", "#FFFFFF"); + } + }); + + } + else{ + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + set(temp, "isolate", false); + set(temp, "hide", false); + set(temp, "icon_color", "#FFFFFF"); + + }); + + } + + + + } + + + var categoriesFilter = []; + + for(let category of this.get('categoriesObject')) { + + var isolate = category.isolate; + var hide = category.hide; + + if(isolate === true){ + categoriesFilter = [category.color]; + break; + } + + if(hide === false){ + categoriesFilter.push(category.color); + } + + } + d3.selectAll("circle").style("fill", "#fff"); + categoriesFilter.map(color => { + d3.selectAll("circle").filter(function(d){return d.node.color === color}).style("fill", color); + }) + + console.log(categoriesFilter) + + //this.set("categoriesFilterList", categoriesFilter); + + //this.set("treemapService.filter_update", new Date()) + //this.set("treemapService.filter_updated_data", updatedData) + //this.set("updatedData", updatedData); + + }, + actions: { + check(index, attr) { + this.updateCategoriesObject(index, attr); + }, + savePng() { + alert('Iniciando la descarga, este proceso tardara un momento.'); + var domNode = $('#ringchartmap')[0]; + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); + var options = { + width: domNode.clientWidth * 4, + height: domNode.clientHeight * 4, + style: { + transform: 'scale(' + 4 + ')', + transformOrigin: 'top left', + padding: 0, + paddingTop: '30px', + background: '#292A48' + }, + imagePlaceholder: "" + }; + domtoimage.toBlob(document.getElementById('complexmap'), options) + .then(function (blob) { + window.saveAs(blob, `${file_name}.png`); + }); + }, + savePdf: function savePdf() { + alert('Iniciando la descarga, este proceso tardara un momento.'); + var PDF_Width = 1024; + var PDF_Height = 900; + var pdf = new jsPDF('l', 'pt', [PDF_Width, PDF_Height]); + var domNodes = $('#ringchartmap'); + var totalPDFPages = domNodes.length; + var countPages = totalPDFPages; + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); + + for (var domNode of domNodes) { + var options = { + width: domNode.clientWidth * 4, + height: domNode.clientHeight * 4, + style: { + transform: 'scale(' + 4 + ')', + transformOrigin: 'top left', + padding: 0, + paddingTop: '30px', + background: '#292A48' + } + }; + + var HTML_Width = 1024; + var HTML_Height = 900; + var canvas_image_width = HTML_Width; + var canvas_image_height = HTML_Height; + + domtoimage.toJpeg(domNode, options) + .then(function (dataUrl) { + var myImage = dataUrl; + pdf.addImage(myImage, 'JPG', 0, 0, canvas_image_width, canvas_image_height); + countPages--; + if (countPages === 0) { + pdf.save(file_name + '.pdf'); + saveAs(pdf, file_name + '.pdf'); + } else { + pdf.addPage(PDF_Width, PDF_Height); + } + }) + .catch(function (error) { + }); + } + } + } +}); + + diff --git a/app/helpers/is-decimal.js b/app/helpers/is-decimal.js new file mode 100644 index 00000000..4b52c3f9 --- /dev/null +++ b/app/helpers/is-decimal.js @@ -0,0 +1,7 @@ +import Ember from 'ember'; + +export function decimal(params/*, hash*/) { + return params; +} + +export default Ember.Helper.helper(decimal); diff --git a/app/index.html b/app/index.html index 22550ab5..f53d1276 100644 --- a/app/index.html +++ b/app/index.html @@ -51,6 +51,7 @@ {{content-for 'body'}} + @@ -83,6 +84,7 @@ + {{content-for 'body-footer'}} diff --git a/app/router.js b/app/router.js index 2d920968..114f5348 100644 --- a/app/router.js +++ b/app/router.js @@ -28,6 +28,7 @@ export default Router.map(function() { this.route('complexmap', { path: ':product_id/complexmap/'}); this.route('complexmapprimaries', { path: ':product_id/complexmap/primaries/'}); this.route('complexmapsecondaries', { path: ':product_id/complexmap/secondaries/'}); + this.route('ringchart', { path: ':product_id/ringchart/'}); this.route('visualization', { path: ':product_id/source/:source_type/visualization/:visualization_type/:variable'}); }); diff --git a/app/routes/product/complexmap.js b/app/routes/product/complexmap.js index 32645123..8f462d34 100644 --- a/app/routes/product/complexmap.js +++ b/app/routes/product/complexmap.js @@ -54,7 +54,7 @@ export default Ember.Route.extend({ }); }, setupController(controller, model) { - this.set('buildermodSearchService.search', null); + //this.set('buildermodSearchService.search', null); this._super(controller, model); window.scrollTo(0, 0); }, diff --git a/app/routes/product/complexmapprimaries.js b/app/routes/product/complexmapprimaries.js index 4b035043..4327f696 100644 --- a/app/routes/product/complexmapprimaries.js +++ b/app/routes/product/complexmapprimaries.js @@ -54,7 +54,7 @@ export default Ember.Route.extend({ }); }, setupController(controller, model) { - this.set('buildermodSearchService.search', null); + //this.set('buildermodSearchService.search', null); this._super(controller, model); window.scrollTo(0, 0); }, diff --git a/app/routes/product/complexmapsecondaries.js b/app/routes/product/complexmapsecondaries.js index 32645123..8f462d34 100644 --- a/app/routes/product/complexmapsecondaries.js +++ b/app/routes/product/complexmapsecondaries.js @@ -54,7 +54,7 @@ export default Ember.Route.extend({ }); }, setupController(controller, model) { - this.set('buildermodSearchService.search', null); + //this.set('buildermodSearchService.search', null); this._super(controller, model); window.scrollTo(0, 0); }, diff --git a/app/routes/product/ringchart.js b/app/routes/product/ringchart.js new file mode 100644 index 00000000..c221d072 --- /dev/null +++ b/app/routes/product/ringchart.js @@ -0,0 +1,74 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + product_id: null, + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + centerId: { refreshModel: true }, + }, + + model(params) { + let {product_id} = params; + set(this, 'product_id', product_id); + + let hash = { + model: this.store.find('product', product_id), + products_col: $.getJSON(`${apiURL}/data/location/0/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + }, + actions: { + refreshRoute: function() { + this.refresh(); + } + } +}); diff --git a/app/templates/components/buildermod-search.hbs b/app/templates/components/buildermod-search.hbs index fdfc3aa3..da282c75 100644 --- a/app/templates/components/buildermod-search.hbs +++ b/app/templates/components/buildermod-search.hbs @@ -143,6 +143,23 @@ {{/if}} {{/if}} + + {{#if (is-equal visualization "products")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    + +
    +
    + {{/if}} + {{else}} {{#if (is-equal visualization "geo")}}
    @@ -222,6 +239,23 @@
    {{/if}} {{/if}} + + {{#if (is-equal visualization "products")}} +
    +
    + +
    +

    1. {{ t 'modal.visualization.p3'}}

    + {{autocomplete-input-datlas data_search=filterDataNull type='search' idSelect='searchSelect2' placeHolder=placeHolderText search=search}} +

    {{ t (is-concat 'modal.visualization.p4.' source) }}

    +
    +
    +
    + +
    +
    + {{/if}} + {{/if}} +
    + + {{/each}} + +
    +
    + +
    + +
    +
    +
    +
    + +
    +
    +
    +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'product.complexmapsecondaries' center (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
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zMB+}qe$nXL+6i@o=TXMy*5vv{zv8*ew^6miF7f&I(|BN2u_x-=+_y33vKz@z=FHj(; ALI3~& literal 0 HcmV?d00001 diff --git a/tests/unit/helpers/decimal-test.js b/tests/unit/helpers/decimal-test.js new file mode 100644 index 00000000..63067c88 --- /dev/null +++ b/tests/unit/helpers/decimal-test.js @@ -0,0 +1,10 @@ +import { decimal } from '../../../helpers/decimal'; +import { module, test } from 'qunit'; + +module('Unit | Helper | decimal'); + +// Replace this with your real tests. +test('it works', function(assert) { + var result = decimal(42); + assert.ok(result); +}); From 914ec6f5e46c4fa2d3f74d6587cb9658f9f3ab64 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sat, 25 Sep 2021 20:00:56 -0500 Subject: [PATCH 045/126] Release 0.14 --- app/components/vistk-network.js | 3 + app/controllers/location/productmap.js | 5 +- app/controllers/location/productmapdetail.js | 289 +++++++ .../location/productmapprimaries.js | 321 +++++++ .../location/productmapsecondaries.js | 357 ++++++++ app/controllers/location/ringchart.js | 781 ++++++++++++++++++ app/controllers/product/ringchart.js | 4 +- app/router.js | 6 + app/routes/location/productmap.js | 5 + app/routes/location/productmapdetail.js | 67 ++ app/routes/location/productmapprimaries.js | 65 ++ app/routes/location/productmapsecondaries.js | 65 ++ app/routes/location/ringchart.js | 66 ++ app/services/locations-selections-service.js | 6 + app/templates/components/vistk-network.hbs | 34 + .../location/-regional-location-route.hbs | 2 +- app/templates/location/productmap.hbs | 12 + app/templates/location/productmapdetail.hbs | 157 ++++ .../location/productmapprimaries.hbs | 185 +++++ .../location/productmapsecondaries.hbs | 173 ++++ app/templates/location/ringchart.hbs | 178 ++++ public/assets/img/infografias/23.png | Bin 0 -> 97399 bytes 22 files changed, 2776 insertions(+), 5 deletions(-) create mode 100644 app/controllers/location/productmapdetail.js create mode 100644 app/controllers/location/productmapprimaries.js create mode 100644 app/controllers/location/productmapsecondaries.js create mode 100644 app/controllers/location/ringchart.js create mode 100644 app/routes/location/productmapdetail.js create mode 100644 app/routes/location/productmapprimaries.js create mode 100644 app/routes/location/productmapsecondaries.js create mode 100644 app/routes/location/ringchart.js create mode 100644 app/services/locations-selections-service.js create mode 100644 app/templates/location/productmapdetail.hbs create mode 100644 app/templates/location/productmapprimaries.hbs create mode 100644 app/templates/location/productmapsecondaries.hbs create mode 100644 app/templates/location/ringchart.hbs create mode 100644 public/assets/img/infografias/23.png diff --git a/app/components/vistk-network.js b/app/components/vistk-network.js index 7c88d61e..ea4b6241 100644 --- a/app/components/vistk-network.js +++ b/app/components/vistk-network.js @@ -115,6 +115,9 @@ export default Ember.Component.extend({ let vistkLanguage = this.get('i18n.display') === 'es' ? 'es_ES': 'en_EN'; var selectedProducts = this.get("selectedProducts"); + + //console.log(selectedProducts) + var VCRValue = this.get("VCRValue"); var categoriesFilter = this.get("categoriesFilterList"); var showPrimaries = this.get("showPrimaries"); diff --git a/app/controllers/location/productmap.js b/app/controllers/location/productmap.js index 10653793..6395e262 100644 --- a/app/controllers/location/productmap.js +++ b/app/controllers/location/productmap.js @@ -5,7 +5,7 @@ const {computed, get:get} = Ember; export default Ember.Controller.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - queryParams: ['year'], + queryParams: ['year', 'startDate', 'endDate'], startDate: null, endDate: null, @@ -24,7 +24,8 @@ export default Ember.Controller.extend({ validTimeseries: computed.alias('model.timeseries'), dotplotData: computed.oneWay('model.dotplotData'), occupationData: computed.oneWay('model.occupations'), - productsData: computed.oneWay('model.productsData'), + + inmutableProductsData: computed.oneWay('model.productsData'), industriesData: computed.oneWay('model.industriesData'), diff --git a/app/controllers/location/productmapdetail.js b/app/controllers/location/productmapdetail.js new file mode 100644 index 00000000..3205fd63 --- /dev/null +++ b/app/controllers/location/productmapdetail.js @@ -0,0 +1,289 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + locationsSelectionsService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + entityType: "product", + source: "products", + visualization: "products", + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + return selected_products + }), + selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + + this.set("selectedProducts", {}); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) + self.set('vistkNetworkService.updated', new Date()); + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var productsData = this.get("productsData") + var result = productsData.filter(item => Object.keys(selectedProducts).includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + dataNull: [], + + + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), +}); + + diff --git a/app/controllers/location/productmapprimaries.js b/app/controllers/location/productmapprimaries.js new file mode 100644 index 00000000..a6fc65b0 --- /dev/null +++ b/app/controllers/location/productmapprimaries.js @@ -0,0 +1,321 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + locationsSelectionsService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + entityType: "product", + source: "products", + visualization: "products", + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + return selected_products + }), + selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), + + enableRingChart: "disabled", + lastSelected: null, + + enableRingChartObserver: observer("vistkNetworkService.updated", function () { + + var selectedProducts = Object.keys(this.get("selectedProducts")); + console.log(selectedProducts) + + if (selectedProducts.length > 0){ + var lastSelected = selectedProducts[selectedProducts.length - 1] + this.set("lastSelected", lastSelected) + this.set("enableRingChart", "") + } + else { + this.set("lastSelected", null) + this.set("enableRingChart", "disabled") + } + + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + + this.set("selectedProducts", {}); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) + self.set('vistkNetworkService.updated', new Date()); + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + } + + } + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + dataNull: [], + + + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), +}); + + diff --git a/app/controllers/location/productmapsecondaries.js b/app/controllers/location/productmapsecondaries.js new file mode 100644 index 00000000..f999b5c4 --- /dev/null +++ b/app/controllers/location/productmapsecondaries.js @@ -0,0 +1,357 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + locationsSelectionsService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + entityType: "product", + source: "products", + visualization: "products", + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + return selected_products + }), + selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), + + enableRingChart: "disabled", + lastSelected: null, + + enableRingChartObserver: observer("vistkNetworkService.updated", function () { + + var selectedProducts = Object.keys(this.get("selectedProducts")); + //console.log(selectedProducts) + + if (selectedProducts.length > 0){ + var lastSelected = selectedProducts[selectedProducts.length - 1] + this.set("lastSelected", lastSelected) + this.set("enableRingChart", "") + } + else { + this.set("lastSelected", null) + this.set("enableRingChart", "disabled") + } + + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search == ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + //d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); + + this.set("selectedProducts", initialSelectedProducts); + this.set('vistkNetworkService.updated', new Date()); + + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = self.getPrimariesSecondaries2(parseInt(item.id)) + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + + self.set('vistkNetworkService.updated', new Date()); + + for(let id of Object.keys(selected)){ + for(let id2 of Object.keys(selected[id])){ + setTimeout(function(){ + d3.selectAll(`.connected_${id}_${id2}`).classed("selected", true) + d3.selectAll(`.connected_${id2}_${id}`).classed("selected", true) + }, 2000) + + for(let id3 of selected[id][id2]){ + setTimeout(function(){ + d3.selectAll(`.connected_${id2}_${id3}`).classed("selected__secondary", true) + d3.selectAll(`.connected_${id3}_${id2}`).classed("selected__secondary", true) + }, 2000) + } + + } + + } + + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + + departmentsDataSelect: computed("model", function () { + + this.set("selectedProducts", this.get("initialSelectedProducts")) + + var all_locations = Object.values(this.get("model.metaData.locations")) + + var locations = all_locations.filter(item => item.level === "department").map( (item) => { + var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) + return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} + }) + return locations + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + + for(let id3 of selectedProducts[id][id2]){ + ids.push(id3) + } + + } + + } + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + dataNull: [], + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + +}); + + diff --git a/app/controllers/location/ringchart.js b/app/controllers/location/ringchart.js new file mode 100644 index 00000000..f6be3193 --- /dev/null +++ b/app/controllers/location/ringchart.js @@ -0,0 +1,781 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP, set} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + locationsSelectionsService: Ember.inject.service(), + queryParams: ['startDate', 'endDate', 'lastSelected'], + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + + visualization: "products", + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + refreshRing: true, + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + return selected_products + }), + + setSelectedProductsbyId: function (id) { + + var selected_products = {} + selected_products[id] = this.getPrimariesSecondaries2(parseInt(id)) + + //console.log(selected_products) + + this.set("selectedProducts", selected_products) + }, + + selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), + getProduct: function (id) { + let indexedData = _.indexBy(this.get('networkData'), 'id'); + return indexedData[id] + }, + + product_selected: computed('model', 'center', function () { + var id = this.get("center") + var product = this.getProduct(id) + var product_copy = {} + + Object.assign(product_copy, product) + + return product_copy + }), + + product_primaries: [], + product_primaries_total: null, + product_secondaries: [], + product_secondaries_total: null, + + center: computed("model", function () { + return this.get("lastSelected") + }), + + + + categoriesObject: computed('model', 'i18n.locale', function() { + + var products = this.get('model.metaData.products') + var products_list = [] + var nested_data + + for(let id of Object.keys(products)){ + products_list.push(products[id]) + } + + var updatedData = products_list.map(item => { + + if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ + return { + color: _.get(item, "color"), + icon: _.get(item, "icon"), + item: item + }; + } + else{ + return { + color: _.get(item, "color"), + icon: _.get(item, "icon"), + item: item, + group: _.get(item, `parent_name_${this.get('i18n').display}`), + parent_code: _.get(item, `parent_code`), + }; + } + + }); + + if(updatedData[0] !== undefined){ + if(updatedData[0].hasOwnProperty("group")){ + if(updatedData[0].group == undefined){ + nested_data = d3.nest().entries(updatedData); + } + nested_data = d3.nest().key(function(d) { return d.group; }).entries(updatedData); + } + else{ + nested_data = d3.nest().entries(updatedData); + } + } + else{ + nested_data = [] + } + + + var categories = nested_data.map(item => { + + var color = "#33691e"; + var icon = "fas fa-atom"; + var icon_color = "#FFFFFF"; + + if(item.hasOwnProperty("color")){ + color = item.color; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("color")){ + color = item.values[0].color; + } + } + } + } + + if(item.hasOwnProperty("icon")){ + icon = item.icon; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("icon")){ + icon = item.values[0].icon; + } + } + } + } + + return { + name: item.key, + color: color, + icon: icon, + icon_color: icon_color, + hide: false, + isolate: false + }; + }); + + + Ember.run.later(this , function() { + $('.category-button').on("mouseover", function(e) { + + $(this).find("div.tooltip").removeClass("d-none") + }) + + $('.category-button').on("mouseleave", function(e) { + $(this).find("div.tooltip").addClass("d-none"); + }) + }, 100); + + return categories; + + + + + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + //var id_principal = this.get("model.entity.id"); + + + //d3.selectAll(".tooltip_network").classed("d-none", true); + //d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); + + //this.set("selectedProducts", initialSelectedProducts); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + self.set("center", item.id) + self.setSelectedProductsbyId(item.id) + this.transitionToRoute('location.ringchart', item.id, {queryParams: { endDate: this.get("endDate"), startDate: this.get("startDate"), lastSelected: this.get("center") }}); + + Ember.run.later(this , function() { + $(`.d3plus-id-${item.id}`).click(), + 2000 + }); + + //self.set('vistkNetworkService.updated', new Date()); + //d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + formatNumber: (number, key, i18n) => { + + var decimalVars = [ + 'export_rca', + 'eci', + 'industry_eci', + 'rca', + 'complexity', + 'distance', + 'cog', + 'coi', + 'industry_coi', + 'population', + 'yield_ratio', + 'yield_index', + 'average_livestock_load', + ]; + var percentVars = [ + 'share', + 'employment_growth' + ]; + var wageVarsInThousands = [ + 'wages', + 'avg_wages', + 'avg_wage', + ]; + var moneyVars = [ + 'gdp_pc_real', + 'gdp_real', + ]; + var largeNumbers = [ + 'export_value', + 'import_value', + 'monthly_wages', + 'average_wages', + 'area', + 'production_tons', + 'land_sown', + 'land_harvested', + 'num_farms', + 'num_livestock', + ]; + + if(_.include(wageVarsInThousands, key)){ + return numeral(number).divide(1000).format('0,0'); + } else if(_.include(decimalVars, key)){ + var result = numeral(number).format('0.00a') + return result; + } else if(key === 'employment'){ + return numeral(Math.ceil(number)).format('0,0'); + } else if(key === 'num_establishments' || key === 'export_num_plants'){ + if(parseInt(number) < 6) { + return i18n.t('graph_builder.table.less_than_5'); + } + return numeral(number).format('0,0'); + } else if(_.include(percentVars, key)){ + return numeral(number).format('0.00%'); + } else if(_.include(largeNumbers, key)) { + return numeral(number).format('0,0'); + } else if(_.include(moneyVars, key)) { + return numeral(number).format('$0.00a'); + } else { + return number; + } + }, + + observerCenter: observer("center", function () { + var center = this.get("center") + this.setSelectedProductsbyId(center) + this.set('vistkNetworkService.updated', new Date()); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var self = this; + + console.log(selectedProducts) + + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + + for(let id3 of selectedProducts[id][id2]){ + ids.push(id3) + } + + } + + } + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + var indexed_result = _.indexBy(result, 'id'); + + var primaries = [] + var secondaries = [] + + for(let id of Object.keys(selectedProducts)){ + + var product_selected_copy = {} + + Object.assign(product_selected_copy, indexed_result[id]) + + product_selected_copy.export_rca = self.formatNumber(product_selected_copy.export_rca, 'export_rca', this.get("i18n")) + product_selected_copy.export_value = self.formatNumber(product_selected_copy.export_value, 'export_value', this.get("i18n")) + product_selected_copy.complexity = self.formatNumber(product_selected_copy.complexity, 'complexity', this.get("i18n")) + + this.set("product_selected", product_selected_copy) + + for(let id2 of Object.keys(selectedProducts[id])){ + primaries.push(indexed_result[id2]) + + for(let id3 of selectedProducts[id][id2]){ + secondaries.push(indexed_result[id3]) + } + + } + + + if(primaries.length > 5){ + this.set("product_primaries_count", primaries.length - 5) + } + else{ + this.set("product_primaries_count", 0) + } + + this.set("product_primaries", primaries.splice(0,5)) + + + if(secondaries.length > 5){ + this.set("product_secondaries_count", secondaries.length - 5) + } + else{ + this.set("product_secondaries_count", 0) + } + + this.set("product_secondaries", secondaries.splice(0,5)) + + } + + //console.log(indexed_result) + + return result + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + entityType: "product", + source: "products", + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + departmentsDataSelect: computed("model", function () { + + this.set("selectedProducts", this.get("initialSelectedProducts")) + + var all_locations = Object.values(this.get("model.metaData.locations")) + + var locations = all_locations.filter(item => item.level === "department").map( (item) => { + var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) + return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} + }) + return locations + }), + + + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + updateCategoriesObject: function (index, attr) { + + var temp = this.get('categoriesObject').objectAt(index); + let newValue = !_.get(temp, attr); + + if(attr === "hide"){ + + if(newValue === true){ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item === index){ + set(temp, "hide", true); + set(temp, "isolate", false); + set(temp, "icon_color", "#292A48"); + } + else{ + set(temp, "isolate", false); + } + + + }); + + } + else{ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item === index){ + set(temp, "hide", false); + set(temp, "isolate", false); + set(temp, "icon_color", "#FFFFFF"); + } + else{ + set(temp, "isolate", false); + } + + }); + } + + + } + else if(attr === "isolate"){ + + if(newValue === true){ + + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item !== index){ + set(temp, "isolate", false); + set(temp, "hide", true); + set(temp, "icon_color", "#292A48"); + } + else{ + set(temp, "isolate", true); + set(temp, "hide", false); + set(temp, "icon_color", "#FFFFFF"); + } + }); + + } + else{ + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + set(temp, "isolate", false); + set(temp, "hide", false); + set(temp, "icon_color", "#FFFFFF"); + + }); + + } + + + + } + + + var categoriesFilter = []; + + for(let category of this.get('categoriesObject')) { + + var isolate = category.isolate; + var hide = category.hide; + + if(isolate === true){ + categoriesFilter = [category.color]; + break; + } + + if(hide === false){ + categoriesFilter.push(category.color); + } + + } + d3.selectAll("circle").style("fill", "#fff"); + categoriesFilter.map(color => { + d3.selectAll("circle").filter(function(d){return d.node.color === color}).style("fill", color); + }) + + //this.set("categoriesFilterList", categoriesFilter); + + //this.set("treemapService.filter_update", new Date()) + //this.set("treemapService.filter_updated_data", updatedData) + //this.set("updatedData", updatedData); + + }, + actions: { + check(index, attr) { + this.updateCategoriesObject(index, attr); + }, + savePng() { + alert('Iniciando la descarga, este proceso tardara un momento.'); + var domNode = $('#ringchartmap')[0]; + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); + var options = { + width: domNode.clientWidth * 4, + height: domNode.clientHeight * 4, + style: { + transform: 'scale(' + 4 + ')', + transformOrigin: 'top left', + padding: 0, + paddingTop: '30px', + background: '#292A48' + }, + imagePlaceholder: "" + }; + domtoimage.toBlob(document.getElementById('complexmap'), options) + .then(function (blob) { + window.saveAs(blob, `${file_name}.png`); + }); + }, + savePdf: function savePdf() { + alert('Iniciando la descarga, este proceso tardara un momento.'); + var PDF_Width = 1024; + var PDF_Height = 900; + var pdf = new jsPDF('l', 'pt', [PDF_Width, PDF_Height]); + var domNodes = $('#ringchartmap'); + var totalPDFPages = domNodes.length; + var countPages = totalPDFPages; + var d = new Date(); + var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); + + for (var domNode of domNodes) { + var options = { + width: domNode.clientWidth * 4, + height: domNode.clientHeight * 4, + style: { + transform: 'scale(' + 4 + ')', + transformOrigin: 'top left', + padding: 0, + paddingTop: '30px', + background: '#292A48' + } + }; + + var HTML_Width = 1024; + var HTML_Height = 900; + var canvas_image_width = HTML_Width; + var canvas_image_height = HTML_Height; + + domtoimage.toJpeg(domNode, options) + .then(function (dataUrl) { + var myImage = dataUrl; + pdf.addImage(myImage, 'JPG', 0, 0, canvas_image_width, canvas_image_height); + countPages--; + if (countPages === 0) { + pdf.save(file_name + '.pdf'); + saveAs(pdf, file_name + '.pdf'); + } else { + pdf.addPage(PDF_Width, PDF_Height); + } + }) + .catch(function (error) { + }); + } + } + } +}); diff --git a/app/controllers/product/ringchart.js b/app/controllers/product/ringchart.js index 2f7049ea..f7d8fbaa 100644 --- a/app/controllers/product/ringchart.js +++ b/app/controllers/product/ringchart.js @@ -249,7 +249,7 @@ export default Ember.Controller.extend({ }; }); - console.log(categories) + //console.log(categories) Ember.run.later(this , function() { $('.category-button').on("mouseover", function(e) { @@ -698,7 +698,7 @@ export default Ember.Controller.extend({ d3.selectAll("circle").filter(function(d){return d.node.color === color}).style("fill", color); }) - console.log(categoriesFilter) + //console.log(categoriesFilter) //this.set("categoriesFilterList", categoriesFilter); diff --git a/app/router.js b/app/router.js index 114f5348..bd2a8b4b 100644 --- a/app/router.js +++ b/app/router.js @@ -37,6 +37,12 @@ export default Router.map(function() { this.route('abstract', {path: ':location_id/abstract/'}); this.route('route', {path: ':location_id/route/'}); this.route('productmap', {path: ':location_id/route/product_map/'}); + + this.route('productmapdetail', {path: ':location_id/route/product_map/detail/'}); + this.route('productmapprimaries', {path: ':location_id/route/product_map/primaries/'}); + this.route('productmapsecondaries', {path: ':location_id/route/product_map/secondaries/'}); + this.route('ringchart', {path: ':location_id/route/ringchart/'}); + this.route('locationimports', {path: ':location_id/route/imports/'}); this.route('locationwages', {path: ':location_id/route/wages/'}); diff --git a/app/routes/location/productmap.js b/app/routes/location/productmap.js index e0c74bdb..10071d05 100644 --- a/app/routes/location/productmap.js +++ b/app/routes/location/productmap.js @@ -16,6 +16,11 @@ export default Ember.Route.extend({ censusYear: computed.alias('featureToggle.census_year'), agproductLastYear: computed.alias('featureToggle.year_ranges.agproduct.last_year'), + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + model: function(params) { return this.store.find('location', params.location_id); }, diff --git a/app/routes/location/productmapdetail.js b/app/routes/location/productmapdetail.js new file mode 100644 index 00000000..8f770bdd --- /dev/null +++ b/app/routes/location/productmapdetail.js @@ -0,0 +1,67 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + products_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + startDate: this.get('firstYear') + endDate: this.get('lastYear') + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/routes/location/productmapprimaries.js b/app/routes/location/productmapprimaries.js new file mode 100644 index 00000000..ae376af1 --- /dev/null +++ b/app/routes/location/productmapprimaries.js @@ -0,0 +1,65 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + products_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/routes/location/productmapsecondaries.js b/app/routes/location/productmapsecondaries.js new file mode 100644 index 00000000..ae376af1 --- /dev/null +++ b/app/routes/location/productmapsecondaries.js @@ -0,0 +1,65 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + products_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/routes/location/ringchart.js b/app/routes/location/ringchart.js new file mode 100644 index 00000000..52ae91e8 --- /dev/null +++ b/app/routes/location/ringchart.js @@ -0,0 +1,66 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + lastSelected: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + products_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/services/locations-selections-service.js b/app/services/locations-selections-service.js new file mode 100644 index 00000000..5b57d474 --- /dev/null +++ b/app/services/locations-selections-service.js @@ -0,0 +1,6 @@ +import Ember from 'ember'; + +export default Ember.Service.extend({ + selectedProducts: {}, + lastSelected: null +}); diff --git a/app/templates/components/vistk-network.hbs b/app/templates/components/vistk-network.hbs index 7b0ad0d3..cfba294a 100644 --- a/app/templates/components/vistk-network.hbs +++ b/app/templates/components/vistk-network.hbs @@ -147,6 +147,40 @@

    {{/if}} + {{#if show23 }} +
    + + + + + +
    + {{/if}} +
    {{/if}} diff --git a/app/templates/location/-regional-location-route.hbs b/app/templates/location/-regional-location-route.hbs index 7b6da591..32dfb3f2 100644 --- a/app/templates/location/-regional-location-route.hbs +++ b/app/templates/location/-regional-location-route.hbs @@ -231,7 +231,7 @@
    - {{#link-to 'location.productmap' model.id + {{#link-to 'location.productmap' model.id (query-params startDate=startDate endDate=startDate) class="btn btn-outline-secondary" }} SIGUIENTE diff --git a/app/templates/location/productmap.hbs b/app/templates/location/productmap.hbs index 6768d92c..792b9d08 100644 --- a/app/templates/location/productmap.hbs +++ b/app/templates/location/productmap.hbs @@ -2,6 +2,18 @@

    CASO 22

    +
    + +
    + {{#link-to 'location.productmapdetail' model.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + CASO 23 + {{/link-to}} +
    + +
    +
    {{#link-to 'location.route' model.id diff --git a/app/templates/location/productmapdetail.hbs b/app/templates/location/productmapdetail.hbs new file mode 100644 index 00000000..d1901f9b --- /dev/null +++ b/app/templates/location/productmapdetail.hbs @@ -0,0 +1,157 @@ +{{component "stream-header" model=modelData type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    +
    + {{#link-to 'location.productmapprimaries' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary btn-block" + }} + CONEXIONES PRIMARIAS + {{/link-to}} +
    + +
    +
    + +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    + + + + + + + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +

    {{buildermodSearchService.search}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + show23=true + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'location.productmap' modelData.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    diff --git a/app/templates/location/productmapprimaries.hbs b/app/templates/location/productmapprimaries.hbs new file mode 100644 index 00000000..9a27808a --- /dev/null +++ b/app/templates/location/productmapprimaries.hbs @@ -0,0 +1,185 @@ +{{component "stream-header" model=modelData type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    + +
    +
    + {{#link-to 'location.productmapsecondaries' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary btn-block" + }} + CONEXIONES SECUNDARIAS + {{/link-to}} +
    +
    + +
    +
    +
    + {{#link-to 'location.productmapdetail' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary btn-block" + }} + MAPA DE PRODUCTOS + {{/link-to}} +
    +
    + +
    +
    + {{#link-to 'location.ringchart' model.entity.id (query-params startDate=startDate endDate=endDate lastSelected=lastSelected) + class=(is-concat 'btn btn-outline-secondary btn-block disabled ' enableRingChart) + }} + RING CHART + {{/link-to}} +
    +
    + +
    + + +
    +
    + +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    + + + + + + + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +

    {{buildermodSearchService.search}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + showPrimaries=true + show11=true + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'location.productmapdetail' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    diff --git a/app/templates/location/productmapsecondaries.hbs b/app/templates/location/productmapsecondaries.hbs new file mode 100644 index 00000000..438de85a --- /dev/null +++ b/app/templates/location/productmapsecondaries.hbs @@ -0,0 +1,173 @@ +{{component "stream-header" model=modelData type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    + +
    +
    +

    CONEXIONES SECUNDARIAS

    +
    +
    + +
    + +
    +
    + {{#link-to 'location.ringchart' model.entity.id (query-params startDate=startDate endDate=endDate lastSelected=lastSelected) + class=(is-concat 'btn btn-outline-secondary btn-block disabled ' enableRingChart) + }} + RING CHART + {{/link-to}} +
    +
    + +
    + + +
    +
    + +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    + + + + + + + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +

    {{buildermodSearchService.search}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + showPrimaries=true + showSecondaries=true + show12=true + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'location.productmapprimaries' modelData.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    diff --git a/app/templates/location/ringchart.hbs b/app/templates/location/ringchart.hbs new file mode 100644 index 00000000..d7f8871c --- /dev/null +++ b/app/templates/location/ringchart.hbs @@ -0,0 +1,178 @@ +{{component "stream-header" model=modelData type='product' extra_type="product_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    +
    +

    CONEXIONES SECUNDARIAS

    +
    +
    + {{#link-to 'location.productmapdetail' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary btn-block" + }} + MAPA DE PRODUCTOS + {{/link-to}} +
    +
    +
    +
    + + +
    + +
    +
    + +
    +
    + +
    +
    +
    +

    {{buildermodSearchService.search}}

    + {{#if refreshRing}} + {{ + ring-chart + data=[] + graph=productSpace + dataType='products' + metadata=model.metaData + componentId="ringChart" + center=center + filterCategory=true + }} + {{/if}} +
    + +
    +
    +
    +

    Producto: {{product_selected.name_short_es}} ({{product_selected.code}})

    +

    Exportaciones: {{product_selected.export_value}}

    +

    VCR: {{product_selected.export_rca}}

    +

    Complejidad: {{product_selected.complexity}}

    + +

    Conexiones primarias

    +
      + {{#each product in product_primaries}} +
    • {{product.name_short_es}} ({{product.code}})
      • + {{/each}} + + {{#if product_primaries_count}} +
    • + {{product_primaries_count}} productos
      • + {{/if}} + +
    + +

    Conexiones secundarias

    +
      + {{#each product in product_secondaries}} +
    • {{product.name_short_es}} ({{product.code}})
      • + {{/each}} + + {{#if product_secondaries_count}} +
    • + {{product_secondaries_count}} productos
      • + {{/if}} + +
    + +
    +
    +
    +
    + +
    +

    SECTORES DE

    +

    LOS PRODUCTOS

    +
    + + {{#each category in categoriesObject}} + +
    +
    +

    {{category.name}}

    + +
    + + + + + +
    + +
    + + + + +
    + + {{/each}} + +
    +
    + +
    + +
    +
    +
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    FUENTE: cálculos del CID con datos de la DIAN.

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    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
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    + +
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    + {{#link-to 'location.productmapprimaries' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
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Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sat, 25 Sep 2021 21:57:41 -0500 Subject: [PATCH 046/126] Release 0.15 --- app/controllers/location/complexsectors.js | 276 +++++++++++++++++ .../location/complexsectorsdetail.js | 274 +++++++++++++++++ .../location/complexsectorsprimaries.js | 288 ++++++++++++++++++ .../location/productmapprimaries.js | 1 - app/controllers/location/ringchart.js | 1 - app/router.js | 6 + app/routes/location/complexsectors.js | 69 +++++ app/routes/location/complexsectorsdetail.js | 69 +++++ .../location/complexsectorsprimaries.js | 69 +++++ app/templates/components/vistk-network.hbs | 34 +++ .../location/-regional-location-wages.hbs | 2 +- app/templates/location/complexsectors.hbs | 16 +- .../location/complexsectorsdetail.hbs | 149 +++++++++ .../location/complexsectorsprimaries.hbs | 140 +++++++++ public/assets/img/infografias/35.png | Bin 0 -> 66340 bytes public/assets/img/infografias/36.png | Bin 0 -> 83523 bytes public/assets/img/infografias/37.png | Bin 0 -> 71392 bytes 17 files changed, 1389 insertions(+), 5 deletions(-) create mode 100644 app/controllers/location/complexsectors.js create mode 100644 app/controllers/location/complexsectorsdetail.js create mode 100644 app/controllers/location/complexsectorsprimaries.js create mode 100644 app/routes/location/complexsectors.js create mode 100644 app/routes/location/complexsectorsdetail.js create mode 100644 app/routes/location/complexsectorsprimaries.js create mode 100644 app/templates/location/complexsectorsdetail.hbs create mode 100644 app/templates/location/complexsectorsprimaries.hbs create mode 100644 public/assets/img/infografias/35.png create mode 100644 public/assets/img/infografias/36.png create mode 100644 public/assets/img/infografias/37.png diff --git a/app/controllers/location/complexsectors.js b/app/controllers/location/complexsectors.js new file mode 100644 index 00000000..bacc9c6f --- /dev/null +++ b/app/controllers/location/complexsectors.js @@ -0,0 +1,276 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + locationsSelectionsService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + entityType: "product", + source: "products", + visualization: "products", + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + return selected_products + }), + selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + + this.set("selectedProducts", {}); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) + self.set('vistkNetworkService.updated', new Date()); + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var productsData = this.get("productsData") + var result = productsData.filter(item => Object.keys(selectedProducts).includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + industrySpace: computed.alias('model.metaData.industrySpace'), + + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + return this.get("model.industries_col").filter(item => item.year >= startDate && item.year <= endDate); + + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + dataNull: [], + + + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), +}); diff --git a/app/controllers/location/complexsectorsdetail.js b/app/controllers/location/complexsectorsdetail.js new file mode 100644 index 00000000..a20f0a6f --- /dev/null +++ b/app/controllers/location/complexsectorsdetail.js @@ -0,0 +1,274 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + locationsSelectionsService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + entityType: "product", + source: "industries", + visualization: "products", + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + return selected_products + }), + selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.industries"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + + this.set("selectedProducts", {}); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) + self.set('vistkNetworkService.updated', new Date()); + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var productsData = this.get("productsData") + var result = productsData.filter(item => Object.keys(selectedProducts).includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + industrySpace: computed.alias('model.metaData.industrySpace'), + + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + return this.get("model.industries_col").filter(item => item.year >= startDate && item.year <= endDate); + + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + industriesDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.industries')) + + return locations.filter(item => item[1].level === "class").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('industriesDataValues'); + }), + + dataNull: [], + + + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), +}); diff --git a/app/controllers/location/complexsectorsprimaries.js b/app/controllers/location/complexsectorsprimaries.js new file mode 100644 index 00000000..1a6e3221 --- /dev/null +++ b/app/controllers/location/complexsectorsprimaries.js @@ -0,0 +1,288 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + locationsSelectionsService: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + entityType: "product", + source: "industries", + visualization: "products", + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + isSingleYearData: computed('dateExtent', function(){ + let dateExtent = this.get('dateExtent'); + if (dateExtent){ + if (dateExtent[1] - dateExtent[0] > 0){ + return false; + } else { + return true; + } + } else { + return false; + } + }), + + getPrimariesSecondaries2: function (id) { + + var edges = this.get('productSpace').edges; + var result_object = {} + + var primaries = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + if(e.source.id === undefined){ + return e.source == id || e.target == id; + } + else{ + return e.source.id == id || e.target.id == id; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + + for(let id2 of primaries){ + var secondaries_acumm = edges.filter(function(e) { + if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { + + if(e.source.id === undefined){ + return e.source == id2 || e.target == id2; + } + else{ + return e.source.id == id2 || e.target.id == id2; + } + } else { + return false; + } + }) + .map(item => { + + if(item.source.id === undefined){ + if(item.source == id2){ + return item.target + } + else { + return item.source + } + } + else{ + if(item.source.id == id2){ + return item.target.id + } + else { + return item.source.id + } + } + + + }) + .filter(item => item != id) + + result_object[`${id2}`] = secondaries_acumm + + } + + return result_object + + }, + initialSelectedProducts: computed('model.[]', function () { + var id = this.get("model.entity.id") + var selected_products = {} + + return selected_products + }), + selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.industries"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + var id_principal = this.get("model.entity.id"); + + + d3.selectAll(".tooltip_network").classed("d-none", true); + + this.set("selectedProducts", {}); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + result.map(item => { + //selected.push(String(item.id)) + selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) + self.set('vistkNetworkService.updated', new Date()); + d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var productsData = this.get("productsData") + + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + } + + } + + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + return result + }), + + productSpace: computed.alias('model.metaData.productSpace'), + industrySpace: computed.alias('model.metaData.industrySpace'), + + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + return this.get("model.industries_col").filter(item => item.year >= startDate && item.year <= endDate); + + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + industriesDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.industries')) + + return locations.filter(item => item[1].level === "class").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('source', function(){ + return this.get('industriesDataValues'); + }), + + dataNull: [], + + + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), +}); diff --git a/app/controllers/location/productmapprimaries.js b/app/controllers/location/productmapprimaries.js index a6fc65b0..337c9d66 100644 --- a/app/controllers/location/productmapprimaries.js +++ b/app/controllers/location/productmapprimaries.js @@ -131,7 +131,6 @@ export default Ember.Controller.extend({ enableRingChartObserver: observer("vistkNetworkService.updated", function () { var selectedProducts = Object.keys(this.get("selectedProducts")); - console.log(selectedProducts) if (selectedProducts.length > 0){ var lastSelected = selectedProducts[selectedProducts.length - 1] diff --git a/app/controllers/location/ringchart.js b/app/controllers/location/ringchart.js index f6be3193..cb221a24 100644 --- a/app/controllers/location/ringchart.js +++ b/app/controllers/location/ringchart.js @@ -402,7 +402,6 @@ export default Ember.Controller.extend({ var selectedProducts = this.get("selectedProducts") var self = this; - console.log(selectedProducts) var ids = [] diff --git a/app/router.js b/app/router.js index bd2a8b4b..cc6fe9d8 100644 --- a/app/router.js +++ b/app/router.js @@ -41,12 +41,18 @@ export default Router.map(function() { this.route('productmapdetail', {path: ':location_id/route/product_map/detail/'}); this.route('productmapprimaries', {path: ':location_id/route/product_map/primaries/'}); this.route('productmapsecondaries', {path: ':location_id/route/product_map/secondaries/'}); + this.route('ringchart', {path: ':location_id/route/ringchart/'}); this.route('locationimports', {path: ':location_id/route/imports/'}); this.route('locationwages', {path: ':location_id/route/wages/'}); this.route('complexsectors', {path: ':location_id/route/complex_sectors/'}); + + this.route('complexsectorsdetail', {path: ':location_id/route/complex_sectors/detail/'}); + this.route('complexsectorsprimaries', {path: ':location_id/route/complex_sectors/primaries/'}); + //this.route('complexsectorssecondaries', {path: ':location_id/route/complex_sectors/secondaries/'}); + this.route('ruralactivities', {path: ':location_id/route/rural_activities/'}); diff --git a/app/routes/location/complexsectors.js b/app/routes/location/complexsectors.js new file mode 100644 index 00000000..d80f3f7b --- /dev/null +++ b/app/routes/location/complexsectors.js @@ -0,0 +1,69 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + industries_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/industries?level=class`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, industries_col} = hash; + let industriesMetadata = this.modelFor('application').industries; + var industriesDataIndex = _.indexBy(getWithDefault(industries_col, 'data', []), 'industry_data'); + + //get products data for the department + let industries = _.reduce(industries_col.data, (memo, d) => { + let industry = industriesMetadata[d.industry_id]; + if(model.id === '0') { d.rca = 1; } + let industryData = industriesDataIndex[d.industry_id]; + industry.complexity = _.result(_.find(industry.pci_data, { year: d.year}), 'complexity'); + memo.push(_.merge(d, industry, industryData)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + industries_col: industries, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + startDate: this.get('firstYear') + endDate: this.get('lastYear') + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/routes/location/complexsectorsdetail.js b/app/routes/location/complexsectorsdetail.js new file mode 100644 index 00000000..d80f3f7b --- /dev/null +++ b/app/routes/location/complexsectorsdetail.js @@ -0,0 +1,69 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + industries_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/industries?level=class`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, industries_col} = hash; + let industriesMetadata = this.modelFor('application').industries; + var industriesDataIndex = _.indexBy(getWithDefault(industries_col, 'data', []), 'industry_data'); + + //get products data for the department + let industries = _.reduce(industries_col.data, (memo, d) => { + let industry = industriesMetadata[d.industry_id]; + if(model.id === '0') { d.rca = 1; } + let industryData = industriesDataIndex[d.industry_id]; + industry.complexity = _.result(_.find(industry.pci_data, { year: d.year}), 'complexity'); + memo.push(_.merge(d, industry, industryData)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + industries_col: industries, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + startDate: this.get('firstYear') + endDate: this.get('lastYear') + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/routes/location/complexsectorsprimaries.js b/app/routes/location/complexsectorsprimaries.js new file mode 100644 index 00000000..d80f3f7b --- /dev/null +++ b/app/routes/location/complexsectorsprimaries.js @@ -0,0 +1,69 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + industries_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/industries?level=class`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, industries_col} = hash; + let industriesMetadata = this.modelFor('application').industries; + var industriesDataIndex = _.indexBy(getWithDefault(industries_col, 'data', []), 'industry_data'); + + //get products data for the department + let industries = _.reduce(industries_col.data, (memo, d) => { + let industry = industriesMetadata[d.industry_id]; + if(model.id === '0') { d.rca = 1; } + let industryData = industriesDataIndex[d.industry_id]; + industry.complexity = _.result(_.find(industry.pci_data, { year: d.year}), 'complexity'); + memo.push(_.merge(d, industry, industryData)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + industries_col: industries, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + startDate: this.get('firstYear') + endDate: this.get('lastYear') + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/templates/components/vistk-network.hbs b/app/templates/components/vistk-network.hbs index cfba294a..b191cde4 100644 --- a/app/templates/components/vistk-network.hbs +++ b/app/templates/components/vistk-network.hbs @@ -181,6 +181,40 @@

    {{/if}} + {{#if show35 }} +
    + + + + + +
    + {{/if}} +
    {{/if}} diff --git a/app/templates/location/-regional-location-wages.hbs b/app/templates/location/-regional-location-wages.hbs index d04c63b3..cd66d5f4 100644 --- a/app/templates/location/-regional-location-wages.hbs +++ b/app/templates/location/-regional-location-wages.hbs @@ -238,7 +238,7 @@ {{/link-to}}
    - {{#link-to 'location.complexsectors' model.id + {{#link-to 'location.complexsectors' model.id (query-params startDate=startDate endDate=startDate) class="btn btn-outline-secondary" }} SIGUIENTE diff --git a/app/templates/location/complexsectors.hbs b/app/templates/location/complexsectors.hbs index 14a9e8ff..502223d7 100644 --- a/app/templates/location/complexsectors.hbs +++ b/app/templates/location/complexsectors.hbs @@ -2,16 +2,28 @@

    CASO 34

    +
    + +
    + {{#link-to 'location.complexsectorsdetail' model.entity.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + CASO 35 + {{/link-to}} +
    + +
    +
    - {{#link-to 'location.locationwages' model.id + {{#link-to 'location.locationwages' model.entity.id class="btn btn-outline-secondary" }} ANTERIOR {{/link-to}}
    - {{#link-to 'location.ruralactivities' model.id + {{#link-to 'location.ruralactivities' model.entity.id class="btn btn-outline-secondary" }} SIGUIENTE diff --git a/app/templates/location/complexsectorsdetail.hbs b/app/templates/location/complexsectorsdetail.hbs new file mode 100644 index 00000000..cbf05450 --- /dev/null +++ b/app/templates/location/complexsectorsdetail.hbs @@ -0,0 +1,149 @@ +{{component "stream-header" model=modelData type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    +
    + {{#link-to 'location.complexsectorsprimaries' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary btn-block" + }} + CONEXIONES PRIMARIAS + {{/link-to}} +
    + +
    +
    + +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    + + + + + + + +
    +
    + +

    {{vistkNetworkService.updated}}

    +

    {{buildermodSearchService.search}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='industries' + metadata=model.metaData + varDependent='export_value' + graph=industrySpace + height=600 + delay=3500 + showMiddle=false + filterCategory=true + title="PRODUCTOS" + subtitle="POR SECTOR" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + show35=true + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="industries" + entityType="industries" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'location.complexsectors' modelData.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
    diff --git a/app/templates/location/complexsectorsprimaries.hbs b/app/templates/location/complexsectorsprimaries.hbs new file mode 100644 index 00000000..a7f34914 --- /dev/null +++ b/app/templates/location/complexsectorsprimaries.hbs @@ -0,0 +1,140 @@ +{{component "stream-header" model=modelData type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    + +
    + + +
    + +
    +
    + +
    +
    + +
    + +
    +
    + + + + + + + +
    +
    + +

    {{vistkNetworkService.updated}}

    +

    {{buildermodSearchService.search}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='industries' + metadata=model.metaData + varDependent='export_value' + graph=industrySpace + height=600 + delay=3500 + showMiddle=false + filterCategory=true + title="PRODUCTOS" + subtitle="POR SECTOR" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + showPrimaries=true + show35=true + }} +
    + +
    + + +
    + +
    +
    +
    +

    FUENTE: cálculos del CID con datos de la DIAN.

    +

    (En el glosario se encuentran explicaciones más detalladas de los conceptos).

    +
    +
    +
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="industries" + entityType="industries" + elementId="industriesTable" + }} +
    +
    +
    + +
    +
    + {{#link-to 'location.complexsectorsdetail' modelData.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    +
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z<|mboD^MhEWnE^kiFA#^^W9VKRyKbNyk-O}0|V}8Wf zOP&1|NxDFQx@>#tb6?wwLjlszK1P7La!vKL@WGR4gJF(!gXGmacHtC1#m;ev4vw&0 zWs)P=7I{$J%d*uq&Nt@OK+uh|>2F)jc}jWNdn?uFwwV=YD|RwT6DB;M z=9k?nD0x-WCR%d;UdU7CAKWW#92Yy^^!+GJLR?FYDINCwRE2Jn|jGIK{h z>V7BwX#l%Crjw4^cscv6y}kcrqvwOZrFUgY=|TGsXmU|iDfV{!=S&lzdW=vI5GpQ* z`@J8AxS!5tPD6no#S0NlsLOxHQs92>p_f+Ev)9{xgl8p2NTZBw&?jyGzU9C9H#4z8nB>#(HR_k_}7c{5D)+MQ}y7jI6nL2;>U>Z_bM;W3B3<3iHa-Cl=b=^zT9~* jkn;b#dwecD-{pErBVN$I;2g!=rCT?Q{w~nI_w@e&^KI|6 literal 0 HcmV?d00001 From 9d3f3eb5471d6d52ac9ac680e3eb4defe343952d Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 26 Sep 2021 19:50:50 -0500 Subject: [PATCH 047/126] Release 0.15.1 --- Brocfile.js | 1 + app/components/autocomplete-input-datlas.js | 11 ++ app/components/datlas-table.js | 31 ++++- app/components/multiples-graph.js | 10 +- app/components/small-multiples-set.js | 5 + app/components/vistk-network.js | 4 +- app/components/visualization-legend-geomap.js | 4 + app/components/zoomable-treemap.js | 113 +++++++++++------- app/controllers/location/ringchart.js | 4 +- app/controllers/product/ringchart.js | 4 +- app/controllers/visualization.js | 72 ++++++++++- app/index.html | 2 - app/locales/es-col/translations.js | 39 +++--- app/routes/application.js | 8 +- app/routes/industry/visualization.js | 5 +- .../components/_components/_datatables.scss | 4 + app/styles/components/_font-face.scss | 2 +- .../components/_visualizations/_geo.scss | 1 + app/templates/components/multiples-graph.hbs | 2 +- .../components/small-multiples-set.hbs | 5 +- app/templates/components/vistk-network.hbs | 4 +- .../visualization-legend-geomap.hbs | 11 +- app/templates/components/zoomable-treemap.hbs | 13 +- app/templates/industry/show.hbs | 10 +- .../location/-department-dotplots.hbs | 6 +- .../location/-municipality-dotplots.hbs | 4 + .../location/-subregion-dotplots.hbs | 4 + app/templates/location/ringchart.hbs | 2 +- app/templates/product/abstract.hbs | 7 ++ app/templates/product/ringchart.hbs | 2 +- app/templates/visualization.hbs | 6 +- 31 files changed, 292 insertions(+), 104 deletions(-) diff --git a/Brocfile.js b/Brocfile.js index 4cc67662..689d4b6f 100644 --- a/Brocfile.js +++ b/Brocfile.js @@ -82,6 +82,7 @@ app.import('vendor/color_mappings/mex-industry_section_colors.json', { destDir: //Import leaflet-omnivore app.import('vendor/leaflet-omnivore.min.js'); + // Font Awesome // The npm package readme mentions refactoring this as a Broccoli tree, so consider that a TODO app.import('bower_components/font-awesome/fonts/fontawesome-webfont.eot', { destDir: 'fonts' }); diff --git a/app/components/autocomplete-input-datlas.js b/app/components/autocomplete-input-datlas.js index 923eaadb..a4005849 100644 --- a/app/components/autocomplete-input-datlas.js +++ b/app/components/autocomplete-input-datlas.js @@ -27,6 +27,12 @@ export default Ember.Component.extend({ var placeholder = this.get("placeHolder") + $eventSelect.find('option').remove().end(); + $eventSelect.append($('
    @@ -274,6 +276,7 @@ elementId='zoomable-employment-treemap' class="position-relative" filterCategory=true + groupByParent=true }}
    @@ -288,6 +291,7 @@ elementId='zoomable-wages-treemap' class="position-relative" filterCategory=true + groupByParent=true }}
    @@ -327,7 +331,7 @@
    -

    {{categoriesFilterListlastIndustryData}}

    +
    {{vistk-network diff --git a/app/templates/location/-municipality-dotplots.hbs b/app/templates/location/-municipality-dotplots.hbs index c3d1a0e4..0c1fdbed 100644 --- a/app/templates/location/-municipality-dotplots.hbs +++ b/app/templates/location/-municipality-dotplots.hbs @@ -124,6 +124,7 @@ class="position-relative" filterCategory=true toolTips="rca,complexity" + groupByParent=true }}
    @@ -139,6 +140,7 @@ class="position-relative" filterCategory=true toolTips="rca,complexity" + groupByParent=true }}
    @@ -153,6 +155,7 @@ elementId='zoomable-employment-treemap' class="position-relative" filterCategory=true + groupByParent=true }} @@ -167,6 +170,7 @@ elementId='zoomable-wages-treemap' class="position-relative" filterCategory=true + groupByParent=true }} diff --git a/app/templates/location/-subregion-dotplots.hbs b/app/templates/location/-subregion-dotplots.hbs index a23ee783..87a5e1ab 100755 --- a/app/templates/location/-subregion-dotplots.hbs +++ b/app/templates/location/-subregion-dotplots.hbs @@ -107,6 +107,7 @@ class="position-relative" filterCategory=true toolTips="rca,complexity" + groupByParent=true }} @@ -122,6 +123,7 @@ class="position-relative" filterCategory=true toolTips="rca,complexity" + groupByParent=true }} @@ -136,6 +138,7 @@ elementId='zoomable-employment-treemap' class="position-relative" filterCategory=true + groupByParent=true }} @@ -150,6 +153,7 @@ elementId='zoomable-wages-treemap' class="position-relative" filterCategory=true + groupByParent=true }} diff --git a/app/templates/location/ringchart.hbs b/app/templates/location/ringchart.hbs index d7f8871c..59eb739e 100644 --- a/app/templates/location/ringchart.hbs +++ b/app/templates/location/ringchart.hbs @@ -139,7 +139,7 @@
    - +
    diff --git a/app/templates/product/abstract.hbs b/app/templates/product/abstract.hbs index c789c4db..c1d8d4df 100644 --- a/app/templates/product/abstract.hbs +++ b/app/templates/product/abstract.hbs @@ -16,6 +16,7 @@ {{#each year in rangeYears }} + {{/each}} @@ -54,6 +55,7 @@ endDate=endDate elementId="productssourceTable" order=filteredDataLocationsTop5ExportOrder + title_data=(is-concat 'Departamentos en Colombia que más exportan el producto ' '(' endDate ')' ' - ' modelData.name ' (' modelData.code ')') }}
    @@ -82,6 +84,7 @@ endDate=endDate elementId="productssourceTable2" order=filteredDataCitiesTop5ExportOrder + title_data=(is-concat 'Ciudades en Colombia que más exportan el producto ' '(' endDate ')' ' - ' modelData.name ' (' modelData.code ')') }}
    @@ -112,6 +115,7 @@ endDate=endDate elementId="productssourceTable21" order=filteredDataPartnersTop5ExportOrder + title_data=(is-concat 'Países a donde más se exporta el producto ' '(' endDate ')' ' - ' modelData.name ' (' modelData.code ')') }}
    @@ -144,6 +148,7 @@ endDate=endDate elementId="productssourceTable3" order=filteredDataLocationsTop5ImportOrder + title_data=(is-concat 'Departamentos en Colombia que más importan el producto ' '(' endDate ')' ' - ' modelData.name ' (' modelData.code ')') }}
    @@ -173,6 +178,7 @@ endDate=endDate elementId="productssourceTable4" order=filteredDataCitiesTop5ImportOrder + title_data=(is-concat 'Ciudades en Colombia que más importan el producto ' '(' endDate ')' ' - ' modelData.name ' (' modelData.code ')') }} @@ -202,6 +208,7 @@ endDate=endDate elementId="productssourceTable212" order=filteredDataPartnersTop5ImportOrder + title_data=(is-concat 'Países de donde más se importa el producto ' '(' endDate ')' ' - ' modelData.name ' (' modelData.code ')') }} diff --git a/app/templates/product/ringchart.hbs b/app/templates/product/ringchart.hbs index 29da7ea2..96e4d613 100644 --- a/app/templates/product/ringchart.hbs +++ b/app/templates/product/ringchart.hbs @@ -157,7 +157,7 @@
    - +
    diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index c08cc354..0b4adbc1 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -28,7 +28,7 @@ occupationLastYear=occupationLastYear }} -
    +
    {{#if (is-equal hideVisualization false)}} @@ -114,6 +114,8 @@ filterCategory=canFilterCategory resetFilter=resetFilter canFilterVcr=canFilterVcr + title=(is-concat endDate ' - ' variableTitle ' - ' model.entity.name ' (' model.entity.code ')') + groupByParent=groupByParent }}
    @@ -151,6 +153,8 @@ startDate=startDate endDate=endDate elementId="sourceTable" + title_data=(is-concat endDate ' - ' variableTitle ' - ' model.entity.name ' (' model.entity.code ')') + source_data=visualizationExplanation }}
    From 0f55fcace2c0ee4fc1ef90d9895be0071e1f4f32 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Mon, 27 Sep 2021 16:19:14 -0500 Subject: [PATCH 048/126] Release 0.16 --- app/components/multiples-graph.js | 2 - app/components/ring-chart.js | 2 +- app/components/zoomable-treemap.js | 10 + app/controllers/location/thirdparty.js | 43 ++ app/controllers/product/exports.js | 643 ++++++++++++++++++ app/controllers/visualization.js | 4 - app/router.js | 2 + app/routes/location/thirdparty.js | 32 + app/routes/product/exports.js | 75 ++ app/templates/components/zoomable-treemap.hbs | 3 + app/templates/industry/show.hbs | 2 + .../location/-regional-location-imports.hbs | 2 + .../location/-regional-location-route.hbs | 2 + .../location/-regional-location-rural.hbs | 1 + .../location/-regional-location-wages.hbs | 2 + app/templates/location/-regional-location.hbs | 2 + app/templates/location/ruralactivities.hbs | 2 +- app/templates/location/thirdparty.hbs | 75 ++ app/templates/product/exports.hbs | 86 +++ app/templates/product/ringchart.hbs | 12 +- 20 files changed, 992 insertions(+), 10 deletions(-) create mode 100644 app/controllers/location/thirdparty.js create mode 100644 app/controllers/product/exports.js create mode 100644 app/routes/location/thirdparty.js create mode 100644 app/routes/product/exports.js create mode 100644 app/templates/location/thirdparty.hbs create mode 100644 app/templates/product/exports.hbs diff --git a/app/components/multiples-graph.js b/app/components/multiples-graph.js index f0562d7f..9f904d49 100644 --- a/app/components/multiples-graph.js +++ b/app/components/multiples-graph.js @@ -425,8 +425,6 @@ export default Ember.Component.extend({ alert('Iniciando la descarga, este proceso tardará un momento.'); var title = this.get("title"); - console.log(title) - var PDF_Width = 800; var PDF_Height = 600; var pdf = new jsPDF('l', 'pt', [PDF_Width, PDF_Height]); diff --git a/app/components/ring-chart.js b/app/components/ring-chart.js index 159d5590..0823958d 100644 --- a/app/components/ring-chart.js +++ b/app/components/ring-chart.js @@ -13,7 +13,7 @@ export default Ember.Component.extend({ }), centerId: computed("center", function () { - return this.get("center"); + return this.get("center").toString(); }), nodes: computed('dataType', function() { diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index 4182b590..7d59ee10 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -856,6 +856,7 @@ export default Ember.Component.extend({ var id = `#${this.get("elementId")}_section`; var title = this.get("title"); + var title_filter = this.get("title_filter"); var domNode = $(`${id}`).get(0); var d = new Date(); var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); @@ -864,6 +865,10 @@ export default Ember.Component.extend({ file_name = title; } + if(title_filter){ + file_name = title_filter; + } + var options = { width: domNode.clientWidth * 4, height: domNode.clientHeight * 4, @@ -884,6 +889,7 @@ export default Ember.Component.extend({ var id = `#${this.get("elementId")}_section`; var title = this.get("title"); + var title_filter = this.get("title_filter"); var domNodes = $(`${id}`); var PDF_Width = domNodes[0].clientWidth ; @@ -900,6 +906,10 @@ export default Ember.Component.extend({ file_name = title; } + if(title_filter){ + file_name = title_filter; + } + for (var domNode of domNodes) { var options = { width: domNode.clientWidth * 4, diff --git a/app/controllers/location/thirdparty.js b/app/controllers/location/thirdparty.js new file mode 100644 index 00000000..8da08346 --- /dev/null +++ b/app/controllers/location/thirdparty.js @@ -0,0 +1,43 @@ +import Ember from 'ember'; +import numeral from 'numeral'; +const {computed, get:get, observer} = Ember; + +export default Ember.Controller.extend({ + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + queryParams: ['year'], + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + startDate: computed('featureToggle.last_year', function () { + return this.get("featureToggle.last_year"); + }), + + + + linkDatlas: computed('startDate', function () { + var startDate = this.get("startDate"); + return `https://atlas.cid.harvard.edu/explore?country=49&year=${startDate}` + }), + + + modelData: computed.alias('model'), + + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + actions: { + setStartYear(){ + + var year = parseInt($("#selectYear").val()); + + this.set('startDate', year); + + }, + } +}); + diff --git a/app/controllers/product/exports.js b/app/controllers/product/exports.js new file mode 100644 index 00000000..f8316f05 --- /dev/null +++ b/app/controllers/product/exports.js @@ -0,0 +1,643 @@ +import Ember from 'ember'; +const {computed, get, observer, RSVP, set} = Ember; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +export default Ember.Controller.extend({ + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + departmentCityFilterService: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + queryParams: ['startDate', 'endDate', 'centerId'], + categoriesFilterList: [], + elementId: 'product_space', + VCRValue: 1, + + setSelectedProductsbyId: function (id) { + + var selected_products = {} + selected_products[id] = this.getPrimariesSecondaries2(parseInt(id)) + + //console.log(selected_products) + + this.set("selectedProducts", selected_products) + }, + + selectedProducts: computed('model.[]', function () { + return this.get("initialSelectedProducts"); + }), + getProduct: function (id) { + let indexedData = _.indexBy(this.get('networkData'), 'id'); + return indexedData[id] + }, + + product_selected: computed('model', 'center', function () { + var id = this.get("center") + var product = this.getProduct(id) + var product_copy = {} + + Object.assign(product_copy, product) + + return product_copy + }), + + product_primaries: [], + product_primaries_total: null, + product_secondaries: [], + product_secondaries_total: null, + + center: computed("model", function () { + return this.get("model.entity.id"); + }), + + categoriesObject: computed('model', 'i18n.locale', function() { + + var products = this.get('model.metaData.products') + var products_list = [] + var nested_data + + for(let id of Object.keys(products)){ + products_list.push(products[id]) + } + + var updatedData = products_list.map(item => { + + if(_.get(item, `parent_name_${this.get('i18n').display}`) === _.get(item, `name_${this.get('i18n').display}`)){ + return { + color: _.get(item, "color"), + icon: _.get(item, "icon"), + item: item + }; + } + else{ + return { + color: _.get(item, "color"), + icon: _.get(item, "icon"), + item: item, + group: _.get(item, `parent_name_${this.get('i18n').display}`), + parent_code: _.get(item, `parent_code`), + }; + } + + }); + + if(updatedData[0] !== undefined){ + if(updatedData[0].hasOwnProperty("group")){ + if(updatedData[0].group == undefined){ + nested_data = d3.nest().entries(updatedData); + } + nested_data = d3.nest().key(function(d) { return d.group; }).entries(updatedData); + } + else{ + nested_data = d3.nest().entries(updatedData); + } + } + else{ + nested_data = [] + } + + + var categories = nested_data.map(item => { + + var color = "#33691e"; + var icon = "fas fa-atom"; + var icon_color = "#FFFFFF"; + + if(item.hasOwnProperty("color")){ + color = item.color; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("color")){ + color = item.values[0].color; + } + } + } + } + + if(item.hasOwnProperty("icon")){ + icon = item.icon; + } + else{ + if(item.hasOwnProperty("values")){ + if(item.values.length > 0){ + if(item.values[0].hasOwnProperty("icon")){ + icon = item.values[0].icon; + } + } + } + } + + return { + name: item.key, + color: color, + icon: icon, + icon_color: icon_color, + hide: false, + isolate: false + }; + }); + + //console.log(categories) + + Ember.run.later(this , function() { + $('.category-button').on("mouseover", function(e) { + + $(this).find("div.tooltip").removeClass("d-none") + }) + + $('.category-button').on("mouseleave", function(e) { + $(this).find("div.tooltip").addClass("d-none"); + }) + }, 100); + + return categories; + + + + + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.products"); + var selected = this.get("selectedProducts"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + //var id_principal = this.get("model.entity.id"); + + + //d3.selectAll(".tooltip_network").classed("d-none", true); + //d3.selectAll(`.tooltip_${id_principal}_${elementId}`).classed("d-none", false); + + //this.set("selectedProducts", initialSelectedProducts); + this.set('vistkNetworkService.updated', new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + + result.map(item => { + //selected.push(String(item.id)) + self.set("center", item.id) + self.setSelectedProductsbyId(item.id) + this.transitionToRoute('product.ringchart', item.id, {queryParams: { endDate: this.get("endDate"), startDate: this.get("startDate"), centerId: this.get("center") }}); + + Ember.run.later(this , function() { + $(`.d3plus-id-${item.id}`).click(), + 2000 + }); + + //self.set('vistkNetworkService.updated', new Date()); + //d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + formatNumber: (number, key, i18n) => { + + var decimalVars = [ + 'export_rca', + 'eci', + 'industry_eci', + 'rca', + 'complexity', + 'distance', + 'cog', + 'coi', + 'industry_coi', + 'population', + 'yield_ratio', + 'yield_index', + 'average_livestock_load', + ]; + var percentVars = [ + 'share', + 'employment_growth' + ]; + var wageVarsInThousands = [ + 'wages', + 'avg_wages', + 'avg_wage', + ]; + var moneyVars = [ + 'gdp_pc_real', + 'gdp_real', + ]; + var largeNumbers = [ + 'export_value', + 'import_value', + 'monthly_wages', + 'average_wages', + 'area', + 'production_tons', + 'land_sown', + 'land_harvested', + 'num_farms', + 'num_livestock', + ]; + + if(_.include(wageVarsInThousands, key)){ + return numeral(number).divide(1000).format('0,0'); + } else if(_.include(decimalVars, key)){ + var result = numeral(number).format('0.00a') + return result; + } else if(key === 'employment'){ + return numeral(Math.ceil(number)).format('0,0'); + } else if(key === 'num_establishments' || key === 'export_num_plants'){ + if(parseInt(number) < 6) { + return i18n.t('graph_builder.table.less_than_5'); + } + return numeral(number).format('0,0'); + } else if(_.include(percentVars, key)){ + return numeral(number).format('0.00%'); + } else if(_.include(largeNumbers, key)) { + return numeral(number).format('0,0'); + } else if(_.include(moneyVars, key)) { + return numeral(number).format('$0.00a'); + } else { + return number; + } + }, + observerCenter: observer("center", function () { + var center = this.get("center") + this.setSelectedProductsbyId(center) + this.set('vistkNetworkService.updated', new Date()); + }), + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + var self = this; + + var ids = [] + + for(let id of Object.keys(selectedProducts)){ + ids.push(id) + + for(let id2 of Object.keys(selectedProducts[id])){ + ids.push(id2) + + for(let id3 of selectedProducts[id][id2]){ + ids.push(id3) + } + + } + + } + + var productsData = this.get("productsData") + var result = productsData.filter(item => ids.includes(String(item.id))) + + var indexed_result = _.indexBy(result, 'id'); + + var primaries = [] + var secondaries = [] + + for(let id of Object.keys(selectedProducts)){ + + var product_selected_copy = {} + + Object.assign(product_selected_copy, indexed_result[id]) + + product_selected_copy.export_rca = self.formatNumber(product_selected_copy.export_rca, 'export_rca', this.get("i18n")) + product_selected_copy.export_value = self.formatNumber(product_selected_copy.export_value, 'export_value', this.get("i18n")) + product_selected_copy.complexity = self.formatNumber(product_selected_copy.complexity, 'complexity', this.get("i18n")) + + this.set("product_selected", product_selected_copy) + + for(let id2 of Object.keys(selectedProducts[id])){ + primaries.push(indexed_result[id2]) + + for(let id3 of selectedProducts[id][id2]){ + secondaries.push(indexed_result[id3]) + } + + } + + + if(primaries.length > 5){ + this.set("product_primaries_count", primaries.length - 5) + } + else{ + this.set("product_primaries_count", 0) + } + + this.set("product_primaries", primaries.splice(0,5)) + + + if(secondaries.length > 5){ + this.set("product_secondaries_count", secondaries.length - 5) + } + else{ + this.set("product_secondaries_count", 0) + } + + this.set("product_secondaries", secondaries.splice(0,5)) + + } + + //console.log(indexed_result) + + return result + }), + + rangeYears: computed('firstYear', 'lastYear', function(){ + var min = this.get("firstYear"); + var max = this.get("lastYear"); + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + entityType: "product", + source: "products", + + location: computed("departmentCityFilterService.name", function (){ + this.get("departmentCityFilterService.data") + this.get('buildermodSearchService.search') + return this.get("departmentCityFilterService.name"); + }), + locationId: computed("departmentCityFilterService.id", function (){ + return this.get("departmentCityFilterService.id"); + }), + departmentsDataSelect: computed("model", function () { + + this.set("selectedProducts", this.get("initialSelectedProducts")) + + var all_locations = Object.values(this.get("model.metaData.locations")) + + var locations = all_locations.filter(item => item.level === "department").map( (item) => { + var chained = all_locations.filter(item2 => item.id === item2.parent_id).map(item => ({'id': item.id, 'text': `${item.name_es} (${item.code})`})) + return {'id': item.id, 'text': `${item.name_es} (${item.code})`, 'chained': chained} + }) + return locations + }), + + + + productSpace: computed.alias('model.metaData.productSpace'), + productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + + var id = this.get("departmentCityFilterService.id"); + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + + if(id == 0){ + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + return this.get("model.products_col").filter(item => item.year >= startDate && item.year <= endDate); + } + + var data = this.get("departmentCityFilterService.data"); + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + $("#spinner_complexmap").addClass("d-none") + $("#complexmap").removeClass("d-none") + $("#complexmaptable").removeClass("d-none") + + return data_filtered + + }), + + dateExtent: computed('model', function() { + //this.set('startDate', this.get('lastYear')); + //this.set('endDate', this.get('lastYear')); + return [this.get('firstYear'), this.get('lastYear')]; + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filteredDataAsync: observer("departmentCityFilterService.id", function () { + + var id = this.get("departmentCityFilterService.id"); + var productsMetadata = this.get("model.metaData.products") + var self = this + + var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + + var promises = [products] + + var result = RSVP.allSettled(promises).then((array) => { + let productsData = array[0].value.data; + + let productsDataResponse = _.reduce(productsData, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + self.set("departmentCityFilterService.data", productsDataResponse) + + return productsDataResponse + }); + }), + + filterData: computed('model', 'endDate', function(){ + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + var partners = this.get("model.partners").filter(item => item.year >= startDate && item.year <= endDate); + return partners + }), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + occupationsData: computed.alias('model.occupationsData'), + modelData: computed.alias('model.entity'), + exportDataLocations: computed('model.data', 'startDate', function (){ + return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + }), + updateCategoriesObject: function (index, attr) { + + var temp = this.get('categoriesObject').objectAt(index); + let newValue = !_.get(temp, attr); + + if(attr === "hide"){ + + if(newValue === true){ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item === index){ + set(temp, "hide", true); + set(temp, "isolate", false); + set(temp, "icon_color", "#292A48"); + } + else{ + set(temp, "isolate", false); + } + + + }); + + } + else{ + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item === index){ + set(temp, "hide", false); + set(temp, "isolate", false); + set(temp, "icon_color", "#FFFFFF"); + } + else{ + set(temp, "isolate", false); + } + + }); + } + + + } + else if(attr === "isolate"){ + + if(newValue === true){ + + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + if(index_item !== index){ + set(temp, "isolate", false); + set(temp, "hide", true); + set(temp, "icon_color", "#292A48"); + } + else{ + set(temp, "isolate", true); + set(temp, "hide", false); + set(temp, "icon_color", "#FFFFFF"); + } + }); + + } + else{ + + this.get('categoriesObject').map((item, index_item) =>{ + + var temp = this.get('categoriesObject').objectAt(index_item); + + set(temp, "isolate", false); + set(temp, "hide", false); + set(temp, "icon_color", "#FFFFFF"); + + }); + + } + + + + } + + + var categoriesFilter = []; + + for(let category of this.get('categoriesObject')) { + + var isolate = category.isolate; + var hide = category.hide; + + if(isolate === true){ + categoriesFilter = [category.color]; + break; + } + + if(hide === false){ + categoriesFilter.push(category.color); + } + + } + d3.selectAll("circle").style("fill", "#fff"); + categoriesFilter.map(color => { + d3.selectAll("circle").filter(function(d){return d.node.color === color}).style("fill", color); + }) + + //console.log(categoriesFilter) + + //this.set("categoriesFilterList", categoriesFilter); + + //this.set("treemapService.filter_update", new Date()) + //this.set("treemapService.filter_updated_data", updatedData) + //this.set("updatedData", updatedData); + + }, + + + actions: { + setStartYear(){ + + var year = parseInt($("#selectYear").val()); + + this.set('startDate', year); + this.set('endDate', year); + }, + + decreaseYear() { + + var firstYear = parseInt(this.get("firstYear")) + var endDate = parseInt(this.get("endDate")) + + if(endDate-1 >= firstYear){ + this.set("startDate", endDate-1); + this.set("endDate", endDate-1); + $("#selectYear").val(endDate-1); + } + + }, + increaseYear() { + + var lastYear = parseInt(this.get("lastYear")) + var endDate = parseInt(this.get("endDate")) + + if(endDate+1 <= lastYear){ + this.set("startDate", endDate+1); + this.set("endDate", endDate+1); + $("#selectYear").val(endDate+1); + } + + } + } +}); + + diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index 00bcbc61..b89ce8c5 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -245,8 +245,6 @@ export default Ember.Controller.extend({ if(this.get('source') == 'departments'){ - console.log(this.get('locationsData')) - return this.get('locationsData') } else if(this.get('source') == 'cities'){ @@ -765,8 +763,6 @@ export default Ember.Controller.extend({ let search = _.deburr(this.get('search')); - console.log(search) - var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) .replace(/\s+/g, ''), "gi"); diff --git a/app/router.js b/app/router.js index cc6fe9d8..e9a4d9a0 100644 --- a/app/router.js +++ b/app/router.js @@ -29,6 +29,7 @@ export default Router.map(function() { this.route('complexmapprimaries', { path: ':product_id/complexmap/primaries/'}); this.route('complexmapsecondaries', { path: ':product_id/complexmap/secondaries/'}); this.route('ringchart', { path: ':product_id/ringchart/'}); + this.route('exports', { path: ':product_id/exports/'}); this.route('visualization', { path: ':product_id/source/:source_type/visualization/:visualization_type/:variable'}); }); @@ -54,6 +55,7 @@ export default Router.map(function() { //this.route('complexsectorssecondaries', {path: ':location_id/route/complex_sectors/secondaries/'}); this.route('ruralactivities', {path: ':location_id/route/rural_activities/'}); + this.route('thirdparty', {path: ':location_id/route/thirdparty/'}); //this.route('productmapdecentralized', {path: ':location_id/route/product_map/decentralized/'}); diff --git a/app/routes/location/thirdparty.js b/app/routes/location/thirdparty.js new file mode 100644 index 00000000..bccff9d5 --- /dev/null +++ b/app/routes/location/thirdparty.js @@ -0,0 +1,32 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; +import numeral from 'numeral'; + +const {apiURL} = ENV; +const {RSVP, computed, getWithDefault, get, copy} = Ember; + +export default Ember.Route.extend({ +// `this.store.find` makes an api call for `params.location_id` and returns a promise +// in the `then` function call, another API call is made to get the topExports data + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + censusYear: computed.alias('featureToggle.census_year'), + agproductFirstYear: computed.alias('featureToggle.year_ranges.agproduct.first_year'), + agproductLastYear: computed.alias('featureToggle.year_ranges.agproduct.last_year'), + agcensusFirstYear: computed.alias('featureToggle.year_ranges.agcensus.first_year'), + agcensusLastYear: computed.alias('featureToggle.year_ranges.agcensus.last_year'), + + model: function(params) { + return this.store.find('location', params.location_id); + }, + + setupController(controller, model) { + this._super(controller, model); + this.controllerFor('application').set('entity', model.get('constructor.modelName')); + this.controllerFor('application').set('entity_id', model.get('id')); + window.scrollTo(0, 0); + }, +}); diff --git a/app/routes/product/exports.js b/app/routes/product/exports.js new file mode 100644 index 00000000..ead0bfd0 --- /dev/null +++ b/app/routes/product/exports.js @@ -0,0 +1,75 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + product_id: null, + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + centerId: { refreshModel: true }, + }, + + model(params) { + let {product_id} = params; + set(this, 'product_id', product_id); + + let hash = { + model: this.store.find('product', product_id), + partners: $.getJSON(`${apiURL}/data/location/${product_id}/partners/?level=country`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, partners} = hash; + let partnersMetadata = this.modelFor('application').partnerCountries; + + let allPartners = _.map(partners.data, (d) => { + let country = partnersMetadata[d.country_id]; + let parent = partnersMetadata[country.parent_id]; + d.parent_name_en = parent.name_en; + d.parent_name_es = parent.name_es; + d.group = parent.id; + + return _.merge(copy(d), country); + }); + + return Ember.Object.create({ + entity: model, + partners: allPartners, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + }, + actions: { + refreshRoute: function() { + this.refresh(); + } + } +}); diff --git a/app/templates/components/zoomable-treemap.hbs b/app/templates/components/zoomable-treemap.hbs index c78eb32e..6ec42770 100644 --- a/app/templates/components/zoomable-treemap.hbs +++ b/app/templates/components/zoomable-treemap.hbs @@ -12,6 +12,9 @@ {{#if title }}

    {{title}}

    {{/if}} + {{#if title_filter }} +

    {{title_filter}}

    + {{/if}}
    diff --git a/app/templates/industry/show.hbs b/app/templates/industry/show.hbs index 731a4a69..a84c76a9 100755 --- a/app/templates/industry/show.hbs +++ b/app/templates/industry/show.hbs @@ -122,6 +122,7 @@ elementId='employment-vistk-treemap' class="position-relative" color='pink' + groupByParent=true title=(is-concat 'EMPLEO ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -145,6 +146,7 @@ elementId='occupation-vistk-treemap' class="position-relative" color='pink' + groupByParent=true title=(is-concat 'OCUPACIONES MÁS DEMANDADAS ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }} diff --git a/app/templates/location/-regional-location-imports.hbs b/app/templates/location/-regional-location-imports.hbs index 6c5c42b0..fb37c9cd 100644 --- a/app/templates/location/-regional-location-imports.hbs +++ b/app/templates/location/-regional-location-imports.hbs @@ -87,6 +87,7 @@ class="position-relative" color='pink' filterCategory=true + groupByParent=true toolTips="rca" }} @@ -121,6 +122,7 @@ class="position-relative" color='pink' filterCategory=true + groupByParent=true }} diff --git a/app/templates/location/-regional-location-route.hbs b/app/templates/location/-regional-location-route.hbs index 32dfb3f2..c5367d15 100644 --- a/app/templates/location/-regional-location-route.hbs +++ b/app/templates/location/-regional-location-route.hbs @@ -87,6 +87,7 @@ class="position-relative" color='pink' filterCategory=true + groupByParent=true toolTips="rca" }} @@ -121,6 +122,7 @@ class="position-relative" color='pink' filterCategory=true + groupByParent=true }} diff --git a/app/templates/location/-regional-location-rural.hbs b/app/templates/location/-regional-location-rural.hbs index 839680b4..d72b1fba 100644 --- a/app/templates/location/-regional-location-rural.hbs +++ b/app/templates/location/-regional-location-rural.hbs @@ -97,6 +97,7 @@ class="position-relative" color='pink' filterCategory=canFilterCategory + groupByParent=true }} {{/if}} {{#if showMultiples}} diff --git a/app/templates/location/-regional-location-wages.hbs b/app/templates/location/-regional-location-wages.hbs index cd66d5f4..f9fde341 100644 --- a/app/templates/location/-regional-location-wages.hbs +++ b/app/templates/location/-regional-location-wages.hbs @@ -87,6 +87,7 @@ class="position-relative" color='pink' filterCategory=true + groupByParent=true toolTips="rca" }} @@ -121,6 +122,7 @@ class="position-relative" color='pink' filterCategory=true + groupByParent=true }} diff --git a/app/templates/location/-regional-location.hbs b/app/templates/location/-regional-location.hbs index e402ef69..fef10ffa 100755 --- a/app/templates/location/-regional-location.hbs +++ b/app/templates/location/-regional-location.hbs @@ -105,6 +105,7 @@ elementId='zoomable-export-value-treemap' class="position-relative" color='pink' + groupByParent=true }} @@ -149,6 +150,7 @@ elementId='zoomable-export-value-treemap-partner' class="position-relative" color='pink' + groupByParent=true }} diff --git a/app/templates/location/ruralactivities.hbs b/app/templates/location/ruralactivities.hbs index daee4b29..ed4f98e9 100644 --- a/app/templates/location/ruralactivities.hbs +++ b/app/templates/location/ruralactivities.hbs @@ -26,7 +26,7 @@ {{/link-to}}
    - {{#link-to 'location.ruralactivities' model.id + {{#link-to 'location.thirdparty' model.id class="btn btn-outline-secondary" }} SIGUIENTE diff --git a/app/templates/location/thirdparty.hbs b/app/templates/location/thirdparty.hbs new file mode 100644 index 00000000..f8004931 --- /dev/null +++ b/app/templates/location/thirdparty.hbs @@ -0,0 +1,75 @@ +{{component "stream-header" model=modelData type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + + +
    +
    + +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    + +
    +
    + + +
    +
    + +
    +

    {{is-concat '¿QUÉ EXPORTO COLOMBIA EN ' startDate '?'}}

    +
    + +
    +
    + + +
    +
    + +
    + +
    + +
    +
    + + +
    +
    + {{#link-to 'location.ruralactivities' model.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    + +
    \ No newline at end of file diff --git a/app/templates/product/exports.hbs b/app/templates/product/exports.hbs new file mode 100644 index 00000000..86807d5f --- /dev/null +++ b/app/templates/product/exports.hbs @@ -0,0 +1,86 @@ +{{component "stream-header" model=modelData type='product' extra_type="product_route" firstYear=firstYear lastYear=lastYear}} + +
    +
    + +
    +

    {{is-concat '¿Quién importo ' model.entity.name ' en ' endDate '?'}}

    +
    + +
    +
    + +
    +
    + +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + + +
    + + +
    + + +
    + +
    + +
    +
    + +
    +
    +
    + {{ + zoomable-treemap + data=filterData + varDependent='export_value' + elementId='occupation-vistk-treemap' + class="position-relative" + color='pink' + filterCategory=true + groupByParent=true + title_filter=(is-concat 'Exportaciones del producto ' '(' lastYear ')' ' - ' model.entity.name ' (' model.entity.code ')') + }} +
    +
    +
    + +
    +
    + {{#link-to 'product.ringchart' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    + +
    \ No newline at end of file diff --git a/app/templates/product/ringchart.hbs b/app/templates/product/ringchart.hbs index 96e4d613..a900a8d8 100644 --- a/app/templates/product/ringchart.hbs +++ b/app/templates/product/ringchart.hbs @@ -185,12 +185,20 @@
    -
    -
    + +
    +
    {{#link-to 'product.complexmapsecondaries' center (query-params startDate=startDate endDate=endDate) class="btn btn-outline-secondary" }} ANTERIOR {{/link-to}}
    +
    + {{#link-to 'product.exports' center (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + SIGUIENTE + {{/link-to}} +
    From fd534095f9d7bfc1aaf1db6a505cc88cda1b2f0f Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Wed, 29 Sep 2021 23:00:35 -0500 Subject: [PATCH 049/126] Release 0.17 --- app/components/datlas-table.js | 30 +- .../graphbuilder-change-graph-products.js | 26 ++ app/components/vistk-scatterplot.js | 181 +++++++++- app/controllers/location/potential.js | 209 ++++++++++++ app/controllers/location/productmap.js | 92 ++++- app/router.js | 1 + app/routes/location/potential.js | 66 ++++ app/routes/location/productmap.js | 323 +++--------------- app/services/vistk-scatterplot-service.js | 9 + .../components/_visualizations/_geo.scss | 1 - .../_visualizations/_scatterplot.scss | 6 +- .../graphbuilder-change-graph-products.hbs | 4 + .../components/vistk-scatterplot.hbs | 4 +- app/templates/location/complexsectors.hbs | 8 + app/templates/location/potential.hbs | 108 ++++++ app/templates/location/productmap.hbs | 276 ++++++++++++++- .../location/productmapprimaries.hbs | 2 +- .../location/productmapsecondaries.hbs | 2 +- ...uildermod-drawer-change-graph-products.hbs | 13 + app/templates/visualization.hbs | 2 +- 20 files changed, 1030 insertions(+), 333 deletions(-) create mode 100644 app/components/graphbuilder-change-graph-products.js create mode 100644 app/controllers/location/potential.js create mode 100644 app/routes/location/potential.js create mode 100644 app/services/vistk-scatterplot-service.js create mode 100644 app/templates/components/graphbuilder-change-graph-products.hbs create mode 100644 app/templates/location/potential.hbs create mode 100644 app/templates/partials/-buildermod-drawer-change-graph-products.hbs diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js index 0b64fb10..4f5a1f42 100644 --- a/app/components/datlas-table.js +++ b/app/components/datlas-table.js @@ -139,27 +139,28 @@ export default Ember.Component.extend(TableMap, { 'num_livestock', ]; + let result = ""; if(_.include(wageVarsInThousands, key)){ return numeral(number).divide(1000).format('0,0'); } else if(_.include(decimalVars, key)){ - var result = numeral(number).format('0.00a') - return result; + result = numeral(number).format('0.00a'); } else if(key === 'employment'){ - return numeral(Math.ceil(number)).format('0,0'); + result = numeral(Math.ceil(number)).format('0,0'); } else if(key === 'num_establishments' || key === 'export_num_plants'){ if(parseInt(number) < 6) { - return i18n.t('graph_builder.table.less_than_5'); + result = i18n.t('graph_builder.table.less_than_5'); } - return numeral(number).format('0,0'); + result = Number(numeral(number).format('0,0')); } else if(_.include(percentVars, key)){ - return numeral(number).format('0.00%'); + result = numeral(number).format('0.00%'); } else if(_.include(largeNumbers, key)) { - return numeral(number).format('0,0'); + result = numeral(number).format('0,0'); } else if(_.include(moneyVars, key)) { - return numeral(number).format('$0.00a'); + result = numeral(number).format('$0.00a'); } else { - return number; + result = number; } + return result; }, updatedData: computed('data.[]', 'tableMap', 'i18n.locale', 'source', 'search', 'startDate', function() { var data = this.get("data"); @@ -457,9 +458,8 @@ export default Ember.Component.extend(TableMap, { order = [[ 0, "desc" ]]; } - const decimalRegex = /^\d*(\.\d{1,2})$/g; - const numericRegex = /(\.*){2,}/g; - const htmlRegex = /<[^>]*>/g; + const decimalRegex = /^[-]?\d*([.,]\d{1,2})$/; + const numericRegex = /(\..*){1,}/; var table = $(id_element).DataTable({ dom: 'Bfrtip', @@ -479,15 +479,13 @@ export default Ember.Component.extend(TableMap, { let result = ""; if (decimalRegex.test(data)){ - result = data; + result = data.replace(/[,]/g, '.'); }else if (numericRegex.test(data)) { - result = `${data}`.replace(/[\.]/g, ''); + result = data.replace(/[.]/g, ''); } else { result = data; } - result = `${result}`.replace(/<[^>]*>/g, ""); - return result; } } diff --git a/app/components/graphbuilder-change-graph-products.js b/app/components/graphbuilder-change-graph-products.js new file mode 100644 index 00000000..4c53de4e --- /dev/null +++ b/app/components/graphbuilder-change-graph-products.js @@ -0,0 +1,26 @@ +import Ember from 'ember'; +const {computed, get} = Ember; + +export default Ember.Component.extend({ + i18n: Ember.inject.service(), + tagName: 'div', + classNames: ['changegraph__icon'], + classNameBindings: ['iconClass', 'isChecked'], + iconClass: computed('type', function() { + return `${get(this, 'type')}`; + }), + isChecked: computed('type', 'visualization', function() { + if(get(this, 'type') === get(this, 'visualization')) { + return 'changegraph__icon--checked'; + } + }), + click: function() { + this.sendAction('toggleVisualization', get(this, 'type')); + }, + didInsertElement: function() { + Ember.run.scheduleOnce('afterRender',this , function() { + + }); + }, +}); + diff --git a/app/components/vistk-scatterplot.js b/app/components/vistk-scatterplot.js index 2a6f4599..411a1563 100644 --- a/app/components/vistk-scatterplot.js +++ b/app/components/vistk-scatterplot.js @@ -6,6 +6,7 @@ const {apiURL} = ENV; export default Ember.Component.extend({ i18n: Ember.inject.service(), + vistkScatterplotService: Ember.inject.service(), tagName: 'div', height: 500, varIndependent: 'code', @@ -26,10 +27,20 @@ export default Ember.Component.extend({ return get(datum, 'industry_eci'); } }), - scatter: computed('data.@each', 'dataType','eciValue','i18n.locale', function() { + scatter: computed('data.[]', 'dataType','eciValue','i18n.locale', function() { + + var categoriesFilter = this.get("categoriesFilterList"); + let eci = this.get('eciValue'); + var self = this; + let selectedProducts = this.get('vistkScatterplotService.selected'); let vistkLanguage = this.get('i18n.display') === 'es' ? 'es_ES': 'en_EN'; let format = function(value) { return numeral(value).format('0.00'); }; + + if(categoriesFilter == undefined){ + categoriesFilter = [] + } + return vistk.viz() .params({ type: 'scatterplot', @@ -54,22 +65,76 @@ export default Ember.Component.extend({ x_text_custom: this.get('i18n').t('graph_builder.table.distance').string, y_text_custom: this.get('i18n').t('graph_builder.table.complexity').string, items: [{ - marks: [{ + marks: [ + { type: 'circle', - fill: (d) => { return d.color ? d.color : '#ccc1b9'; } - }, { + fill: (d) => { + + var color = '#ccc1b9'; + + if(categoriesFilter.length > 0){ + if(categoriesFilter.includes(d.parent_name_es)){ + return d.color ? d.color : '#ccc1b9'; + } + else{ + return color + } + } + else{ + return d.color ? d.color : '#ccc1b9'; + } + + }, + evt: [ + { + type: 'selection', + func: function(d, i, vars) { + if(selectedProducts !== undefined){ + + if(d.__selected){ + if(!selectedProducts.includes(d.id)){ + selectedProducts.push(d.id) + d3.selectAll(`.tooltip_${d.id}`).classed("d-none", false); + self.set('vistkScatterplotService.updated', new Date()); + } + }else{ + if(selectedProducts.includes(d.id)){ + + const index = selectedProducts.indexOf(d.id); + if (index > -1) { + selectedProducts.splice(index, 1); + d3.selectAll(`.tooltip_${d.id}`).classed("d-none", true); + self.set('vistkScatterplotService.updated', new Date()); + } + + } + } + + + + } + + } + }, + ] + }, + { var_mark: '__highlighted', type: d3.scale.ordinal().domain([true, false]).range(['line_horizontal', 'none']), offset_right: function(d, i, vars) { return vars.x_scale[0]['func'].range()[1] - vars.x_scale[0]['func'](d[vars.var_x]) + vars.r_scale(d[vars.var_r]); } - }, { + }, + + { var_mark: '__highlighted', type: d3.scale.ordinal().domain([true, false]).range(['line_vertical', 'none']), offset_top: function(d, i, vars) { return vars.r_scale(d[vars.var_r]); } - }, { + }, + + { var_mark: '__highlighted', type: d3.scale.ordinal().domain([true, false]).range(['rect', 'none']), translate: function(d, i, vars) { @@ -80,7 +145,9 @@ export default Ember.Component.extend({ stroke: 'black', stroke_width: '1.5px', fill: function() { return 'white'; } - }, { + }, + + { var_mark: '__highlighted', type: d3.scale.ordinal().domain([true, false]).range(['text', 'none']), translate: function(d, i, vars) { @@ -90,7 +157,9 @@ export default Ember.Component.extend({ text: function(d, i, vars) { return format(d[vars.var_y]); } - }, { + }, + + { var_mark: '__highlighted', type: d3.scale.ordinal().domain([true, false]).range(['rect', 'none']), translate: function(d, i, vars) { @@ -101,7 +170,9 @@ export default Ember.Component.extend({ stroke: 'black', stroke_width: '1.5px', fill: function() { return 'white'; } - }, { + }, + + { var_mark: '__highlighted', type: d3.scale.ordinal().domain([true, false]).range(['text', 'none']), translate: function(d, i, vars) { @@ -111,7 +182,9 @@ export default Ember.Component.extend({ text: function(d, i, vars) { return format(d[vars.var_x]); } - }, { + }, + + { var_mark: '__highlighted', type: d3.scale.ordinal().domain([false, true]).range(['none', 'div']), class: function() { @@ -149,7 +222,59 @@ export default Ember.Component.extend({ translate: [0, 0], width: 200, height: 'auto' - }, { + }, + + { + type: 'div', + class: function(d) { + + $( `#close_tooltip_${d.id}` ).click(function() { + + const index = selectedProducts.indexOf(d.id); + if (index > -1) { + selectedProducts.splice(index, 1); + d3.selectAll(`.tooltip_${d.id}`).classed("d-none", true); + self.set('vistkScatterplotService.updated', new Date()); + } + }); + + return `d-none tooltip_network tooltip_${d.id}`; + }, + x: function(d, i, vars) { + return vars.x_scale[0]['func'](d[vars.var_x]) + vars.margin.left; + }, + y: function(d, i, vars) { + return vars.y_scale[0]['func'](d[vars.var_y]); + }, + text: (d) => { + var data = [{ + 'key': this.get('rca'), + 'value': get(d,this.get('rca')) + },{ + 'key': 'cog', + 'value':get(d,'cog') + },{ + 'key': this.get('amount'), + 'value':get(d,this.get('amount')) + } + ]; + var textItem = get(d, `name_short_${this.get('i18n').display}`) || d.code; + var tooltip_text = `    x${textItem} - ${get(d, 'code')}`; + + data.forEach((datum) => { + if(datum.key) { + tooltip_text += '
    ' + this.get('i18n').t(`graph_builder.table.${get(datum,'key')}`) + ': ' + format(get(datum,'value')); + } + }); + + return tooltip_text; + }, + translate: [0, 0], + width: 200, + height: 'auto' + }, + + { type: 'line_horizontal', filter: function(d, i) { return typeof eci !== 'undefined' && i === 0; @@ -157,7 +282,9 @@ export default Ember.Component.extend({ offset_y: function(d, i, vars) { return -(vars.y_scale[0]['func'](d[vars.var_y]) - vars.y_scale[0]['func'](eci)); } - }, { + }, + + { type: 'text', filter: function(d, i) { return typeof eci !== 'undefined' && i === 0; @@ -306,11 +433,17 @@ export default Ember.Component.extend({ }); return categories; }), + didInsertElement: function() { - // TODO: Why is this code here >:| Getting location level specific data + Ember.run.scheduleOnce('afterRender', this , function() { + // TODO: Why is this code here >:| Getting location level specific data // definitely is not a scatterplot component concern this.set("inmutableDataInternal", this.get("data")); + + console.log( $(".js-range-slider")) + let id = this.get('entityId'); + let locationLevel = this.get(`metadata.locations.${id}.level`); // There are no country level data API (/location/0/?level=country) yet, so // in that case just use some defaults and don't care about ECI value. @@ -319,6 +452,7 @@ export default Ember.Component.extend({ this.set('x_domain', vistk.utils.extent(this.get('modelData'), 'distance')); this.set('y_domain', vistk.utils.extent(this.get('modelData'), 'complexity')); this.set('r_domain', vistk.utils.extent(this.get('modelData'), this.get('varSize'))); + this.get('updatedDate'); d3.select(this.get('id')).call(this.get('scatter')); return; } @@ -341,7 +475,10 @@ export default Ember.Component.extend({ this.set('y_domain', vistk.utils.extent(this.get('modelData'), 'complexity')); this.set('r_domain', vistk.utils.extent(this.get('modelData'), this.get('varSize'))); + this.get('updatedDate'); d3.select(this.get('id')).call(this.get('scatter')); + + }); Ember.run.later(this , function() { @@ -353,9 +490,11 @@ export default Ember.Component.extend({ $('.category-button').on("mouseleave", function(e) { $(this).find("div.tooltip").addClass("d-none"); }) - }, 100); + }, 100); + }); }, + willDestroyElement: function() { this.set('scatter', null); this.removeObserver('i18n.locale', this, this.update); @@ -363,19 +502,22 @@ export default Ember.Component.extend({ }, update_categories_filter: observer('categoriesFilter', function () { var categoriesFilter = this.get("categoriesFilter"); - var updated = this.get("inmutableDataInternal").filter(item => categoriesFilter.includes(item.parent_name_es) ) - this.set("data", updated) + this.set("vistkScatterplotService.categoriesFilter", categoriesFilter) + //var updated = this.get("inmutableDataInternal").filter(item => categoriesFilter.includes(item.parent_name_es) ) + //this.set("data", updated) }), update_vcr_filter: observer('VCRValue', function () { var VCRValue = this.get("VCRValue"); var updated = this.get("inmutableDataInternal").filter(item => item.rca >= VCRValue ) this.set("data", updated) }), - update: observer('data.@each', 'varRca', 'i18n.locale', 'dataType', function() { + update: observer('data.[]', 'varRca', 'i18n.locale', 'dataType', function() { + if(!this.element){ return ; } //do not redraw if not there d3.select(this.get('id')).select('svg').remove(); Ember.run.later(this , function() { if(this.get('scatter')) { + this.get('updatedDate'); d3.select(this.get('id')).call(this.get('scatter')); } }); @@ -483,7 +625,8 @@ export default Ember.Component.extend({ } - this.set("categoriesFilter", categoriesFilter); + this.set("categoriesFilterList", categoriesFilter); + //this.set("vistkScatterplotService.updated", new Date()); //this.set("treemapService.filter_update", new Date()) //this.set("treemapService.filter_updated_data", updatedData) @@ -492,6 +635,8 @@ export default Ember.Component.extend({ }, actions: { check(index, attr) { + //this.set('vistkScatterplotService.selected', []); + this.set('vistkScatterplotService.updated', new Date()); this.updateCategoriesObject(index, attr); }, range_update(){ diff --git a/app/controllers/location/potential.js b/app/controllers/location/potential.js new file mode 100644 index 00000000..c9dc53be --- /dev/null +++ b/app/controllers/location/potential.js @@ -0,0 +1,209 @@ +import Ember from 'ember'; +import numeral from 'numeral'; +const {computed, get:get, observer} = Ember; + +export default Ember.Controller.extend({ + i18n: Ember.inject.service(), + vistkScatterplotService: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + featureToggle: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + + search: null, + rcaFilter: 'less', + filterCategory: true, + categoriesFilterList: [], + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + censusYear: computed.alias('featureToggle.census_year'), + + source: "industries", + metadata: computed.alias('model.metaData'), + entityType: computed.alias('model.entity_type'), + entityId: computed.alias('model.entity.id'), + variable: computed.alias('model.variable'), + + rangeYears: computed('firstYear', 'lastYear', function(){ + + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + + var min = this.get("firstYear") + var max = this.get("lastYear") + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + industriesDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.industries')) + + return locations.filter(item => item[1].level === "class").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + filterData: computed('source', function(){ + return this.get('industriesDataValues'); + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filterToSelectedYears: function(data, start, end) { + let timeRange = d3.range(parseInt(start), parseInt(end) + 1); // Makes the range inclusive + return _.filter(data, function(d) { + return _.contains(timeRange, get(d, 'year')); + }); + }, + + immutableData: computed('model.industries_col.[]','endDate', 'startDate' , function() { + return this.filterToSelectedYears(this.get('model.industries_col'), this.get('startDate'), this.get('endDate')); + }), + + filteredData: computed('model.industries_col.[]','endDate', 'startDate' , 'categoriesFilterList',function() { + + let rca = this.get('rca'); + let rcaFilter = this.get('rcaFilter'); + let data = this.get('immutableData'); + var newData = data.map(a => Object.assign({}, a)); + + let categoriesFilter = this.get('categoriesFilterList'); + + return newData.map(item => { + if(categoriesFilter.length > 0){ + if(categoriesFilter.includes(item.parent_name_es)){ + return item + } + else{ + item.color = "#ccc" + return item + } + } + else{ + return item + } + }); + + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + var data = this.get("model.metaData.industries"); + var selected = this.get("vistkScatterplotService.selected"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + //this.set("vistkScatterplotService.selected", []); + //this.set("vistkScatterplotService.updated", new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + result.map(item => { + if(!selected.includes(item.id)){ + selected.push(item.id); + self.set("vistkScatterplotService.updated", new Date()); + d3.selectAll(`.tooltip_${item.id}`).classed('d-none', false); + } + //selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) + //self.set('vistkNetworkService.updated', new Date()); + //d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + filteredDataTable: computed('immutableData' , 'vistkScatterplotService.updated',function() { + + let data = this.get('immutableData'); + var updated = this.get("vistkScatterplotService.updated"); + var selected = this.get("vistkScatterplotService.selected"); + + console.log(selected) + + var result = data.filter(item => { + if(selected.includes(item.id)){ + return true; + } + }); + + return result + + }), + + modelData: computed('model.data.[]', function() { + console.log(this.get("model")) + return this.get('model.industries_col'); + }), + + varDependent: computed('variable', 'source', function() { + return 'export_value'; + }), + + maxValue: computed('filteredData.[]', 'varDependent', function () { + let varDependent = this.get('varDependent'); + return d3.max(this.get('filteredData'), function(d) { return Ember.get(d, varDependent); }); + }), + + scale: computed('maxValue', 'varDependent', function(){ + let varDependent = this.get('varDependent'); + if(_.isUndefined(varDependent)){ + return d3.scale.quantize() + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); + } + return d3.scale.quantize() + .domain([0, this.get('maxValue')]) + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); + }), + + dateExtent: computed('model.industries_col.[]', function() { + if(this.get('model.industries_col').length) { + return d3.extent(this.get('model.industries_col'), function(d) { return d.year; }); + } + return [this.get('firstYear'), this.get('lastYear')]; + }), + + isFiltered: computed('search', function() { + return Boolean(this.get('search')); + }), + + graph: computed('model.metaData', 'source', function() { + let source = this.get('source'); + if(source === 'industries') { + return this.get('model.metaData.industrySpace'); + } else if (source === 'products') { + return this.get('model.metaData.productSpace'); + } + }), + + + + +}); + diff --git a/app/controllers/location/productmap.js b/app/controllers/location/productmap.js index 6395e262..c3f0e388 100644 --- a/app/controllers/location/productmap.js +++ b/app/controllers/location/productmap.js @@ -5,10 +5,15 @@ const {computed, get:get} = Ember; export default Ember.Controller.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), + vistkNetworkService: Ember.inject.service(), + vistkScatterplotService: Ember.inject.service(), queryParams: ['year', 'startDate', 'endDate'], startDate: null, endDate: null, + categoriesFilterList: [], + selectedProducts: [], + firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), @@ -20,15 +25,95 @@ export default Ember.Controller.extend({ occupationLastYear: computed.alias('featureToggle.year_ranges.occupation.last_year'), entityType: "location", + variable: computed.alias('model.variable'), + + visualization: "similarity", + metadata: computed.alias('model.metaData'), validTimeseries: computed.alias('model.timeseries'), dotplotData: computed.oneWay('model.dotplotData'), occupationData: computed.oneWay('model.occupations'), + elementId: 'product_space', + entityId: computed.alias('model.entity.id'), + modelData: computed('model.data.[]', function() { + console.log(this.get("model")) + return this.get('model.products_col'); + }), + varDependent: computed('variable', 'source', function() { + return 'export_value'; + }), + maxValue: computed('productsData.[]', 'varDependent', function () { + let varDependent = this.get('varDependent'); + return d3.max(this.get('productsData'), function(d) { return Ember.get(d, varDependent); }); + }), + scale: computed('maxValue', 'varDependent', function(){ + let varDependent = this.get('varDependent'); + if(_.isUndefined(varDependent)){ + return d3.scale.quantize() + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); + } + return d3.scale.quantize() + .domain([0, this.get('maxValue')]) + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); + }), + + dateExtent: computed('model.products_col.[]', function() { + if(this.get('model.products_col').length) { + return d3.extent(this.get('model.products_col'), function(d) { return d.year; }); + } + return [this.get('firstYear'), this.get('lastYear')]; + }), + + + productsData: computed('model', 'endDate', 'VCRValue', 'categoriesFilterList', function () { + + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + var data = this.get("model.products_col") + + console.log(this.get("model")) + + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + return data_filtered + + }), + + + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'endDate', function () { + + var selectedProducts = this.get("selectedProducts") + + var productsData = this.get("productsData") + var result = productsData.filter(item => Object.keys(selectedProducts).includes(String(item.id))) + + return result + }), + + + filteredDataTable2: computed("model", 'vistkScatterplotService.updated', 'endDate', function () { + + var selectedProducts = this.get("vistkScatterplotService.selected") + + console.log(selectedProducts) + + var productsData = this.get("productsData") + var result = productsData.filter(item => selectedProducts.includes(item.id)) + + return result + }), + inmutableProductsData: computed.oneWay('model.productsData'), industriesData: computed.oneWay('model.industriesData'), + otherPossibleGraphs: computed('model.visualization', 'model.source', function() { + return [ + { type: 'similarity', description: 'graph_builder.change_graph.similarity_description', available: true, name: 'Mapa de productos' }, + { type: 'scatter', description: 'graph_builder.change_graph.scatter_description', available: true, name: 'Productos con mayor potencial' }, + ]; + }), + rangeYears: computed('firstYear', 'lastYear', function(){ this.set('startDate', this.get("lastYear")) @@ -97,6 +182,11 @@ export default Ember.Controller.extend({ return this.get(`model.description_${this.get('i18n.display')}`); }), actions: { + toggleVisualization: function(visualization) { + this.set("visualization", visualization) + this.set("vistkScatterplotService.selected", []) + this.set("vistkScatterplotService.updated", new Date()) + }, showExports(value) { this.set('showExports', value); }, @@ -106,7 +196,7 @@ export default Ember.Controller.extend({ this.set('startDate', year) this.set('endDate', year) - } + }, } }); diff --git a/app/router.js b/app/router.js index e9a4d9a0..7550f6d0 100644 --- a/app/router.js +++ b/app/router.js @@ -49,6 +49,7 @@ export default Router.map(function() { this.route('locationwages', {path: ':location_id/route/wages/'}); this.route('complexsectors', {path: ':location_id/route/complex_sectors/'}); + this.route('potential', {path: ':location_id/route/potential/'}); this.route('complexsectorsdetail', {path: ':location_id/route/complex_sectors/detail/'}); this.route('complexsectorsprimaries', {path: ':location_id/route/complex_sectors/primaries/'}); diff --git a/app/routes/location/potential.js b/app/routes/location/potential.js new file mode 100644 index 00000000..6c9784ec --- /dev/null +++ b/app/routes/location/potential.js @@ -0,0 +1,66 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + industries_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/industries?level=class`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, industries_col} = hash; + let industriesMetadata = this.modelFor('application').industries; + var industriesDataIndex = _.indexBy(getWithDefault(industries_col, 'data', []), 'industry_data'); + + let industries = _.map(industries_col.data, (d) => { + let industry = industriesMetadata[d.industry_id]; + if(model.id === '0') { d.rca = 1; } + industry.complexity = _.result(_.find(industry.pci_data, { year: d.year}), 'complexity'); + return _.merge(copy(d), industry, { avg_wage: d.wages/d.employment}); + }); + + return Ember.Object.create({ + entity: model, + industries_col: industries, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + startDate: this.get('firstYear') + endDate: this.get('lastYear') + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/routes/location/productmap.js b/app/routes/location/productmap.js index 10071d05..ae376af1 100644 --- a/app/routes/location/productmap.js +++ b/app/routes/location/productmap.js @@ -1,310 +1,65 @@ import Ember from 'ember'; import ENV from '../../config/environment'; -import numeral from 'numeral'; const {apiURL} = ENV; -const {RSVP, computed, getWithDefault, get, copy} = Ember; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; export default Ember.Route.extend({ -// `this.store.find` makes an api call for `params.location_id` and returns a promise -// in the `then` function call, another API call is made to get the topExports data + i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - + buildermodSearchService: Ember.inject.service(), firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), - censusYear: computed.alias('featureToggle.census_year'), - agproductLastYear: computed.alias('featureToggle.year_ranges.agproduct.last_year'), queryParams: { startDate: { refreshModel: false }, endDate: { refreshModel: false }, }, - model: function(params) { - return this.store.find('location', params.location_id); - }, - afterModel: function(model) { - let level = model.get('level'); - level = level === 'country' ? 'department' : level; - - let subregion = get(this, `featureToggle.subregions.${model.get('level')}`); - - // TODO: maybe use ember data instead of ajax calls to decorate JSON objects with model functionality? - // extract year out later - var products = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/products?level=4digit`); - var industries = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/industries?level=class`); - - // one of these should be removed in the future because the points should be merged in - var dotplot = Ember.$.getJSON(`${apiURL}/data/location?level=${level}`); //dotplots - - var subregions_trade = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/subregions_trade/?level=${subregion}`); - - var occupations = Ember.$.getJSON(`${apiURL}/data/occupation/?level=minor_group`); - - var agproducts = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/agproducts/?level=level3`); - var landuses = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/land_uses/?level=level2`); - - var ag_farmsizes = Ember.$.getJSON(`${apiURL}/data/farmsize/1/locations/?level=${level}`); - var nonag_farmsizes = Ember.$.getJSON(`${apiURL}/data/farmsize/2/locations/?level=${level}`); - - var partners = Ember.$.getJSON(`${apiURL}/data/location/${model.id}/partners/?level=country`) - - return RSVP.allSettled([products, dotplot, industries, subregions_trade, occupations, agproducts, landuses, ag_farmsizes, nonag_farmsizes, partners]).then((array) => { - var productsData = getWithDefault(array[0], 'value.data', []); - - var dotplotData = getWithDefault(array[1], 'value.data', []);//dotplots - - var industriesData = getWithDefault(array[2], 'value.data', []); - - var subregionsTradeData = _.filter(getWithDefault(array[3], 'value.data', []), { 'year': this.get('lastYear')}); - - var occupationsData = getWithDefault(array[4], 'value.data', []); - - var agproductsData = getWithDefault(array[5], 'value.data', []); - var landusesData = getWithDefault(array[6], 'value.data', []); - - var agFarmsizesData = getWithDefault(array[7], 'value.data', []); - var nonagFarmsizesData = getWithDefault(array[8], 'value.data', []); - - var partnersData = getWithDefault(array[9], 'value.data', []); - - var productsDataIndex = _.indexBy(productsData, 'product_id'); - var industriesDataIndex = _.indexBy(industriesData, 'industry_data'); - - let productsMetadata = this.modelFor('application').products; - let locationsMetadata = this.modelFor('application').locations; - let industriesMetadata = this.modelFor('application').industries; - let occupationsMetadata = this.modelFor('application').occupations; - let agproductsMetadata = this.modelFor('application').agproducts; - let landusesMetadata = this.modelFor('application').landUses; - let partnersMetadata = this.modelFor('application').partnerCountries; - - - //get products data for the department - let products = _.reduce(productsData, (memo, d) => { - if(d.year != this.get('lastYear')) { return memo; } - let product = productsMetadata[d.product_id]; - let productData = productsDataIndex[d.product_id]; - product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); - memo.push(_.merge(d, product, productData)); - return memo; - }, []); - - - //get products data for the department - let allProducts = _.reduce(productsData, (memo, d) => { - let product = productsMetadata[d.product_id]; - let productData = productsDataIndex[d.product_id]; - - product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); - memo.push(_.merge(d, productData, {year: d.year}, product)); - return memo; - }, []); - - - let allPartners = _.map(partnersData, (d) => { - - let country = partnersMetadata[d.country_id]; - let parent = partnersMetadata[country.parent_id]; - d.parent_name_en = parent.name_en; - d.parent_name_es = parent.name_es; - d.group = parent.id; - - return _.merge(copy(d), country); - }); - - - //get agproducts data for the department - let agproducts = _.reduce(agproductsData, (memo, d) => { - if(d.year != this.get('agproductLastYear')) { return memo; } - let product = agproductsMetadata[d.agproduct_id]; - let parent = agproductsMetadata[agproductsMetadata[product.parent_id].parent_id]; - d.group = parent.id; - d.parent_name_en = parent.name_en; - d.parent_name_es = parent.name_es; - memo.push(_.merge(d, product)); - return memo; - }, []); - - //get agproducts data for the department - let landuses = _.reduce(landusesData, (memo, d) => { - let product = landusesMetadata[d.land_use_id]; - let parent = landusesMetadata[product.parent_id]; - d.group = product.name_en; - memo.push(_.merge(d, product)); - return memo; - }, []); - - //get industry data for department - let industries = _.reduce(industriesData, (memo, d) => { - if(d.year != this.get('lastYear')) { return memo; } - let industry = industriesMetadata[d.industry_id]; - if(model.id === '0') { d.rca = 1; } - let industryData = industriesDataIndex[d.industry_id]; - industry.complexity = _.result(_.find(industry.pci_data, { year: d.year}), 'complexity'); - memo.push(_.merge(d, industry, industryData)); - return memo; - }, []); - - let occupationVacanciesSum = 0; - let occupations = _.map(occupationsData, (d) => { - occupationVacanciesSum += d.num_vacancies; - let occupation = occupationsMetadata[d.occupation_id]; - return _.merge(d, occupation); - }); - - occupations.forEach((d) => { - d.share = d.num_vacancies/occupationVacanciesSum; - }); + model(params) { - //dotplots and dotplotTimeSeries power the dotplots, rankings and etc - var dotplot = []; - var dotplotTimeSeries= []; + let hash = { + model: this.store.find('location', params.location_id), + products_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/products?level=4digit`), + } - _.each(dotplotData, (d) => { - let id = _.get(d, 'department_id') || _.get(d, 'location_id'); - if(id == model.id) { - dotplotTimeSeries.push(d); - } - if(d.year === this.get('censusYear')) { - let id = _.get(d, 'department_id') || _.get(d, 'location_id'); - - let location = _.get(locationsMetadata, id); - - let extra = { - name: location.name_en, - group: d.code, - parent_name_en: location.name_en, - parent_name_es: location.name_es, - }; - - let datum = _.merge(d, location, extra ); - dotplot.push(datum); - } - }); - - let subregions = []; - _.each(subregionsTradeData, (d) => { - let id = _.get(d, 'department_id') || _.get(d, 'location_id'); - - let location = _.get(locationsMetadata, id); - let extra = { - name: location.name_en, - group: d.code, - parent_name_en: location.name_en, - parent_name_es: location.name_es, - }; - - let datum = _.merge(d, location, extra ); - subregions.push(datum); - }); - - var eciRank = 1; - var populationRank = 1; - var gdpRank = 1; - var gdpPerCapitaRank = 1; - - // "Datum" contains the hash of data for the year to be displayed. - let datum = _.chain(dotplotTimeSeries) - .select({ year: this.get('censusYear')}) - .first() - .value(); - - if(datum) { - _.each(dotplot, (d) => { - if(d.eci != null && d.eci > datum.eci) { eciRank ++; } - if(d.gdp_real != null && d.gdp_real > datum.gdp_real) { gdpRank ++; } - if(d.population != null && d.population > datum.population ) { populationRank ++; } - if(d.gdp_pc_real != null && d.gdp_pc_real> datum.gdp_pc_real ) { gdpPerCapitaRank++; } - }); - } - - if(datum !== undefined && (datum.eci === undefined || datum.eci === null)){ - eciRank = null; - } - - model.setProperties({ - eciRank: eciRank, - gdpRank: gdpRank, - gdpPerCapitaRank: gdpPerCapitaRank, - populationRank: populationRank, - }); - - var agFarmsizeRank = 1; - var agFarmsize = _.chain(agFarmsizesData).filter((d) => d.location_id == model.id).first().get("avg_farmsize").value(); - _.each(agFarmsizesData, (d) => { - - if(d.avg_farmsize != null && d.avg_farmsize > agFarmsize ) { agFarmsizeRank++; } - - d.name_en = _.get(locationsMetadata, d.location_id).name_en; - d.name_es = _.get(locationsMetadata, d.location_id).name_es; - - }); - agFarmsize = numeral(agFarmsize).format('0.00a'); - - model.setProperties({ - agFarmsize: agFarmsize, - agFarmsizeRank: agFarmsizeRank, - }); - - var nonagFarmsizeRank = 1; - var nonagFarmsize = _.chain(nonagFarmsizesData).filter((d) => d.location_id == model.id).first().get("avg_farmsize").value(); - _.each(nonagFarmsizesData, (d) => { - - if(d.avg_farmsize != null && d.avg_farmsize > nonagFarmsize ) { nonagFarmsizeRank++; } - - d.name_en = _.get(locationsMetadata, d.location_id).name_en; - d.name_es = _.get(locationsMetadata, d.location_id).name_es; - - }); - nonagFarmsize = numeral(nonagFarmsize).format('0.00a'); - - model.setProperties({ - nonagFarmsize: nonagFarmsize, - nonagFarmsizeRank: nonagFarmsizeRank, - }); - - var yieldIndexRank = 1; - var yieldIndex = _.chain(dotplotData).filter((d) => ((d.department_id == model.id || d.location_id == model.id) && d.year == this.get("agproductLastYear"))).first().get("yield_index").value(); - - var yieldData = _.filter(dotplotData, (d) => d.year == this.get("agproductLastYear") ); - _.each(yieldData, (d) => { - if(d.yield_index != null && d.yield_index > yieldIndex) { yieldIndexRank++; } - let id = _.get(d, 'department_id') || _.get(d, 'location_id'); - d.name_en = _.get(locationsMetadata, id).name_en; - d.name_es = _.get(locationsMetadata, id).name_es; - }); - yieldIndex = numeral(yieldIndex).format('0.00a'); - - model.setProperties({ - yieldIndex: yieldIndex, - yieldIndexRank: yieldIndexRank, - }); - - - model.set('productsData', products); - model.set('agproductsData', agproducts); - model.set('landusesData', landuses); - model.set('industriesData', industries); - model.set('agFarmsizesData', agFarmsizesData); - model.set('nonagFarmsizesData', nonagFarmsizesData); - model.set('yieldData', yieldData); - model.set('dotplotData', dotplot); - model.set('occupations', occupations); - model.set('timeseries', dotplotTimeSeries); - model.set('metaData', this.modelFor('application')); - model.set('subregions', subregions); - model.set('allPartners', allPartners) - model.set('allProducts', allProducts) + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); - return model; + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') }); }, setupController(controller, model) { + //this.set('buildermodSearchService.search', null); this._super(controller, model); - this.controllerFor('application').set('entity', model.get('constructor.modelName')); - this.controllerFor('application').set('entity_id', model.get('id')); window.scrollTo(0, 0); }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } }); diff --git a/app/services/vistk-scatterplot-service.js b/app/services/vistk-scatterplot-service.js new file mode 100644 index 00000000..c1022350 --- /dev/null +++ b/app/services/vistk-scatterplot-service.js @@ -0,0 +1,9 @@ +import Ember from 'ember'; + +export default Ember.Service.extend({ + selected: [], + updated: null, + data: null, + VCRValue: 1, + categoriesFilter: [] +}); diff --git a/app/styles/components/_visualizations/_geo.scss b/app/styles/components/_visualizations/_geo.scss index fd7a24bf..df10105b 100755 --- a/app/styles/components/_visualizations/_geo.scss +++ b/app/styles/components/_visualizations/_geo.scss @@ -9,7 +9,6 @@ height: 80rem; padding: 0; background: $colorBase; - border: 1px #555 solid; svg { position: relative; diff --git a/app/styles/components/_visualizations/_scatterplot.scss b/app/styles/components/_visualizations/_scatterplot.scss index 6da2a307..cd1f50fe 100755 --- a/app/styles/components/_visualizations/_scatterplot.scss +++ b/app/styles/components/_visualizations/_scatterplot.scss @@ -26,7 +26,7 @@ .mark__line_horizontal { fill: none; - stroke: #000; + stroke: $colorYellow; stroke-width: 1.5px; stroke-dasharray: 5,5; opacity: 1; @@ -36,3 +36,7 @@ .axis{ fill: white; } + +.items__mark__text{ + fill: white; +} diff --git a/app/templates/components/graphbuilder-change-graph-products.hbs b/app/templates/components/graphbuilder-change-graph-products.hbs new file mode 100644 index 00000000..16c4ac83 --- /dev/null +++ b/app/templates/components/graphbuilder-change-graph-products.hbs @@ -0,0 +1,4 @@ +
    + +

    {{name}}

    +
    diff --git a/app/templates/components/vistk-scatterplot.hbs b/app/templates/components/vistk-scatterplot.hbs index 648d80d9..c4b64424 100644 --- a/app/templates/components/vistk-scatterplot.hbs +++ b/app/templates/components/vistk-scatterplot.hbs @@ -37,8 +37,8 @@ {{/if}} {{#if canFilterVcr }} -
    +
    - +
    {{/if}} \ No newline at end of file diff --git a/app/templates/location/complexsectors.hbs b/app/templates/location/complexsectors.hbs index 502223d7..f7016fcd 100644 --- a/app/templates/location/complexsectors.hbs +++ b/app/templates/location/complexsectors.hbs @@ -12,6 +12,14 @@ {{/link-to}}
    +
    + {{#link-to 'location.potential' model.entity.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + CASO 38 + {{/link-to}} +
    +
    diff --git a/app/templates/location/potential.hbs b/app/templates/location/potential.hbs new file mode 100644 index 00000000..f8b5a022 --- /dev/null +++ b/app/templates/location/potential.hbs @@ -0,0 +1,108 @@ +{{component "stream-header" model=model.entity type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    + +
    + +
    +
    +
    +

    {{vistkScatterplotService.updated}}

    +

    {{vistkScatterplotService.selected}}

    +

    {{buildermodSearchService.search}}

    + {{vistk-scatterplot + classNames='buildermod__viz' + immutableData=immutableData + modelData=modelData + data=filteredData + dataType=source + varDependent=varDependent + scale=scale + startDate=startDate + dateExtent=dateExtent + endDate=endDate + metadata=metadata + isFiltered=isFiltered + entityType=entityType + entityId=entityId + variable=variable + search=search + graph=graph + elementId=source + toolTips=toolTips + range=range + canUpdateBuildermodSearchService=canUpdateBuildermodSearchService + filterCategory=true + resetFilter=resetFilter + canFilterVcr=false + title="PRODUCTOS" + subtitle="POR SECTOR" + groupByParent=groupByParent + categoriesFilterList=categoriesFilterList + }} + + +
    +
    +
    + +
    + +
    +
    +
    + + {{ + datlas-table + data=filteredDataTable + source=source + entityType=entityType + search=search + startDate=startDate + endDate=endDate + elementId="sourceTable" + title_data=(is-concat endDate ' - ' variableTitle ' - ' model.entity.name ' (' model.entity.code ')') + }} + +
    +
    +
    + +
    +
    + {{#link-to 'location.complexsectors' model.entity.id + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    + +
    diff --git a/app/templates/location/productmap.hbs b/app/templates/location/productmap.hbs index 792b9d08..cb01c024 100644 --- a/app/templates/location/productmap.hbs +++ b/app/templates/location/productmap.hbs @@ -1,29 +1,291 @@ -
    -

    CASO 22

    +{{component "stream-header" model=model.entity type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + + + +
    +
    + +
    +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    +
    + +
    + {{partial "partials/buildermod-drawer-change-graph-products"}} +
    + +
    -
    + + +{{#if (is-equal visualization "similarity") }} + +
    + + +
    + +
    +
    + + + + + + + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='export_value' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + show10=true + }} +
    + +
    + + +
    + + +
    + +
    + {{#link-to 'location.productmapdetail' model.entity.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    + +
    + + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="products" + entityType="products" + elementId="industriesTable" + }} +
    +
    +
    + +{{/if}} + + +{{#if (is-equal visualization "scatter") }} + +
    + + +
    + +
    +
    + + + + + + + +
    +
    + +
    + +
    +

    {{vistkScatterplotService.updated}}

    +

    {{vistkScatterplotService.selected}}

    +

    {{buildermodSearchService.search}}

    +
    + {{vistk-scatterplot + classNames='buildermod__viz' + immutableData=productsData + modelData=modelData + data=productsData + dataType='products' + varDependent=varDependent + scale=scale + startDate=startDate + dateExtent=dateExtent + endDate=endDate + metadata=metadata + isFiltered=false + entityType=entityType + entityId=entityId + variable=variable + graph=productSpace + elementId="scatterplot" + + metadata=model.metaData + varDependent='export_value' + + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=false + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + show10=true + }} +
    + +
    + + +
    + + +
    - {{#link-to 'location.productmapdetail' model.id (query-params startDate=startDate endDate=startDate) + {{#link-to 'location.productmap' model.entity.id (query-params startDate=startDate endDate=startDate) class="btn btn-outline-secondary" }} - CASO 23 + + VER MAS {{/link-to}}
    + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable2 + source="products" + entityType="products" + elementId="industriesTable2" + }} +
    +
    +
    + +{{/if}} + +
    - {{#link-to 'location.route' model.id + {{#link-to 'location.route' model.entity.id class="btn btn-outline-secondary" }} ANTERIOR {{/link-to}}
    - {{#link-to 'location.locationimports' model.id + {{#link-to 'location.locationimports' model.entity.id class="btn btn-outline-secondary" }} SIGUIENTE diff --git a/app/templates/location/productmapprimaries.hbs b/app/templates/location/productmapprimaries.hbs index 9a27808a..8e9c590e 100644 --- a/app/templates/location/productmapprimaries.hbs +++ b/app/templates/location/productmapprimaries.hbs @@ -47,7 +47,7 @@
    {{#link-to 'location.ringchart' model.entity.id (query-params startDate=startDate endDate=endDate lastSelected=lastSelected) - class=(is-concat 'btn btn-outline-secondary btn-block disabled ' enableRingChart) + class=(is-concat 'btn btn-outline-secondary btn-block ' enableRingChart) }} RING CHART {{/link-to}} diff --git a/app/templates/location/productmapsecondaries.hbs b/app/templates/location/productmapsecondaries.hbs index 438de85a..0ecfef1b 100644 --- a/app/templates/location/productmapsecondaries.hbs +++ b/app/templates/location/productmapsecondaries.hbs @@ -34,7 +34,7 @@
    {{#link-to 'location.ringchart' model.entity.id (query-params startDate=startDate endDate=endDate lastSelected=lastSelected) - class=(is-concat 'btn btn-outline-secondary btn-block disabled ' enableRingChart) + class=(is-concat 'btn btn-outline-secondary btn-block ' enableRingChart) }} RING CHART {{/link-to}} diff --git a/app/templates/partials/-buildermod-drawer-change-graph-products.hbs b/app/templates/partials/-buildermod-drawer-change-graph-products.hbs new file mode 100644 index 00000000..20ef54e9 --- /dev/null +++ b/app/templates/partials/-buildermod-drawer-change-graph-products.hbs @@ -0,0 +1,13 @@ +
    + {{#each graph in otherPossibleGraphs}} + {{#if graph.available}} + {{component 'graphbuilder-change-graph-products' + toggleVisualization='toggleVisualization' + type=graph.type + name=graph.name + description=graph.description + visualization=visualization + }} + {{/if}} + {{/each}} +
    \ No newline at end of file diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 0b4adbc1..bb142e5f 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -88,7 +88,7 @@
    -
    +
    {{component visualizationComponent classNames='buildermod__viz' immutableData=immutableData From 8543d52f3597189b1c916bad22180d04f2ae8a42 Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Thu, 30 Sep 2021 18:48:12 -0500 Subject: [PATCH 050/126] Release 0.18 --- app/components/datlas-table.js | 2 + app/components/geo-map.js | 20 + app/components/vistk-network.js | 2 +- app/controllers/location/complexsectors.js | 360 +++++++----------- .../location/productmappotential.js | 211 ++++++++++ app/router.js | 17 + app/routes/location/complexsectors.js | 26 +- app/routes/location/productmappotential.js | 65 ++++ .../_visualizations/_scatterplot.scss | 3 +- app/templates/location/complexsectors.hbs | 277 +++++++++++++- app/templates/location/productmap.hbs | 4 +- .../location/productmappotential.hbs | 110 ++++++ 12 files changed, 859 insertions(+), 238 deletions(-) create mode 100644 app/controllers/location/productmappotential.js create mode 100644 app/routes/location/productmappotential.js create mode 100644 app/templates/location/productmappotential.hbs diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js index 4f5a1f42..b613b5d8 100644 --- a/app/components/datlas-table.js +++ b/app/components/datlas-table.js @@ -477,6 +477,8 @@ export default Ember.Component.extend(TableMap, { format: { body: function ( data, row, column, node ) { + data = String(data) + let result = ""; if (decimalRegex.test(data)){ result = data.replace(/[,]/g, '.'); diff --git a/app/components/geo-map.js b/app/components/geo-map.js index e0a2e5e7..5c86f14a 100644 --- a/app/components/geo-map.js +++ b/app/components/geo-map.js @@ -10,6 +10,9 @@ export default Ember.Component.extend({ classNames: ['geo__wrap'], accessToken: 'pk.eyJ1IjoiZ3dlemVyZWsiLCJhIjoicXJkMjV6WSJ9.Iw_1c5zREHqNSfdtkjlqbA', baseMap: computed('elementId', function() { + + var self = this; + if(!this.get('elementId')) { return ; } let map = new L.mapbox.map(this.get('elementId'), 'gwezerek.22ab4aa8,gwezerek.da867b0d', { accessToken: this.accessToken, @@ -23,6 +26,7 @@ export default Ember.Component.extend({ var simpleMapScreenshoter = L.simpleMapScreenshoter({ hidden: true, // hide screen btn on map }).addTo(map); + document.getElementById("savepng").addEventListener('click', function () { simpleMapScreenshoter.takeScreen('image').then(image => { var svgElement = $(`.leaflet-container`).get(0); @@ -33,7 +37,15 @@ export default Ember.Component.extend({ var screens = document.getElementById('screens') screens.prepend(img); var d = new Date(); + + var title = self.get("title"); + var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() + + if(title){ + file_name = title; + } + html2canvas($(`.visualizationComponent_div`).get(0), { allowTaint: true, onrendered: function(canvas) { @@ -69,7 +81,15 @@ export default Ember.Component.extend({ var totalPDFPages = Math.ceil(HTML_Height / PDF_Height) - 1; var d = new Date(); + + var title = self.get("title"); + var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() + + if(title){ + file_name = title; + } + html2canvas(containerElement, { allowTaint: true, onrendered: function(canvas) { diff --git a/app/components/vistk-network.js b/app/components/vistk-network.js index 80ca767d..e0b46c40 100644 --- a/app/components/vistk-network.js +++ b/app/components/vistk-network.js @@ -131,7 +131,7 @@ export default Ember.Component.extend({ VCRValue = 1 } - var tooltips = ["complexity"]; + var tooltips = ["employment", "complexity"]; var self = this; var width = self.get("width"); var height = self.get("height"); diff --git a/app/controllers/location/complexsectors.js b/app/controllers/location/complexsectors.js index bacc9c6f..c3f0e388 100644 --- a/app/controllers/location/complexsectors.js +++ b/app/controllers/location/complexsectors.js @@ -1,276 +1,202 @@ import Ember from 'ember'; -const {computed, get, observer, RSVP} = Ember; -import ENV from '../../config/environment'; - -const {apiURL} = ENV; +import numeral from 'numeral'; +const {computed, get:get} = Ember; export default Ember.Controller.extend({ + i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - buildermodSearchService: Ember.inject.service(), - departmentCityFilterService: Ember.inject.service(), vistkNetworkService: Ember.inject.service(), - locationsSelectionsService: Ember.inject.service(), - queryParams: ['startDate', 'endDate'], + vistkScatterplotService: Ember.inject.service(), + queryParams: ['year', 'startDate', 'endDate'], + startDate: null, + endDate: null, categoriesFilterList: [], - elementId: 'product_space', - VCRValue: 1, - entityType: "product", - source: "products", - visualization: "products", - firstYear: computed.alias('featureToggle.first_year'), - lastYear: computed.alias('featureToggle.last_year'), + selectedProducts: [], - isSingleYearData: computed('dateExtent', function(){ - let dateExtent = this.get('dateExtent'); - if (dateExtent){ - if (dateExtent[1] - dateExtent[0] > 0){ - return false; - } else { - return true; - } - } else { - return false; - } - }), - getPrimariesSecondaries2: function (id) { - - var edges = this.get('productSpace').edges; - var result_object = {} - - var primaries = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - if(e.source.id === undefined){ - return e.source == id || e.target == id; - } - else{ - return e.source.id == id || e.target.id == id; - } - } else { - return false; - } - }) - .map(item => { - - if(item.source.id === undefined){ - if(item.source == id){ - return item.target - } - else { - return item.source - } - } - else{ - if(item.source.id == id){ - return item.target.id - } - else { - return item.source.id - } - } - - - }) - - for(let id2 of primaries){ - var secondaries_acumm = edges.filter(function(e) { - if(typeof e.source !== 'undefined' && typeof e.target !== 'undefined') { - - if(e.source.id === undefined){ - return e.source == id2 || e.target == id2; - } - else{ - return e.source.id == id2 || e.target.id == id2; - } - } else { - return false; - } - }) - .map(item => { - - if(item.source.id === undefined){ - if(item.source == id2){ - return item.target - } - else { - return item.source - } - } - else{ - if(item.source.id == id2){ - return item.target.id - } - else { - return item.source.id - } - } - - - }) - .filter(item => item != id) - - result_object[`${id2}`] = secondaries_acumm + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + censusYear: computed.alias('featureToggle.census_year'), + agproductFirstYear: computed.alias('featureToggle.year_ranges.agproduct.first_year'), + agproductLastYear: computed.alias('featureToggle.year_ranges.agproduct.last_year'), + agcensusFirstYear: computed.alias('featureToggle.year_ranges.agcensus.first_year'), + agcensusLastYear: computed.alias('featureToggle.year_ranges.agcensus.last_year'), + occupationLastYear: computed.alias('featureToggle.year_ranges.occupation.last_year'), - } + entityType: "location", + variable: computed.alias('model.variable'), - return result_object + visualization: "similarity", + metadata: computed.alias('model.metaData'), - }, - initialSelectedProducts: computed('model.[]', function () { - var id = this.get("model.entity.id") - var selected_products = {} + validTimeseries: computed.alias('model.timeseries'), + dotplotData: computed.oneWay('model.dotplotData'), + occupationData: computed.oneWay('model.occupations'), - return selected_products + elementId: 'product_space', + entityId: computed.alias('model.entity.id'), + modelData: computed('model.data.[]', function() { + console.log(this.get("model")) + return this.get('model.products_col'); }), - selectedProducts: computed.alias('locationsSelectionsService.selectedProducts'), - - searchFilter: observer('buildermodSearchService.search', function() { - - var data = this.get("model.metaData.products"); - var selected = this.get("selectedProducts"); - let search = _.deburr(this.get('buildermodSearchService.search')); - var self = this; - var elementId = this.get("elementId"); - var initialSelectedProducts = this.get("initialSelectedProducts") - - if(search === ""){ - - var id_principal = this.get("model.entity.id"); - - - d3.selectAll(".tooltip_network").classed("d-none", true); - - this.set("selectedProducts", {}); - this.set('vistkNetworkService.updated', new Date()); + varDependent: computed('variable', 'source', function() { + return 'export_value'; + }), + maxValue: computed('productsData.[]', 'varDependent', function () { + let varDependent = this.get('varDependent'); + return d3.max(this.get('productsData'), function(d) { return Ember.get(d, varDependent); }); + }), + scale: computed('maxValue', 'varDependent', function(){ + let varDependent = this.get('varDependent'); + if(_.isUndefined(varDependent)){ + return d3.scale.quantize() + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); } - else { - var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) - .replace(/\s+/g, ''), "gi"); - - - var result = _.filter(data, (d) => { - let parentName = get(d,`parent_name_${this.get('i18n').display}`); - let longName = get(d,`name_${this.get('i18n').display}`); - let shortName = get(d,`name_short_${this.get('i18n').display}`); - let code = get(d, 'code'); + return d3.scale.quantize() + .domain([0, this.get('maxValue')]) + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); + }), - var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + dateExtent: computed('model.products_col.[]', function() { + if(this.get('model.products_col').length) { + return d3.extent(this.get('model.products_col'), function(d) { return d.year; }); + } + return [this.get('firstYear'), this.get('lastYear')]; + }), - if(result_city !== null){ - return result_city; - } - return _.deburr(`${parentName} ${code}`).match(regexp); - }); + productsData: computed('model', 'endDate', 'VCRValue', 'categoriesFilterList', function () { + var startDate = this.get("startDate"); + var endDate = this.get("endDate"); + var data = this.get("model.products_col") - result.map(item => { - //selected.push(String(item.id)) - selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) - self.set('vistkNetworkService.updated', new Date()); - d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); - }); - } + console.log(this.get("model")) - }), + var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); + return data_filtered - rangeYears: computed('firstYear', 'lastYear', function(){ - var min = this.get("firstYear"); - var max = this.get("lastYear"); - return [...Array(max - min + 1).keys()].map(i => i + min); }), - location: computed("departmentCityFilterService.name", function (){ - this.get("departmentCityFilterService.data") - this.get('buildermodSearchService.search') - return this.get("departmentCityFilterService.name"); - }), - locationId: computed("departmentCityFilterService.id", function (){ - return this.get("departmentCityFilterService.id"); - }), - filteredDataTable: computed("model", 'vistkNetworkService.updated', 'departmentCityFilterService.data', 'endDate', function () { + filteredDataTable: computed("model", 'vistkNetworkService.updated', 'endDate', function () { var selectedProducts = this.get("selectedProducts") + var productsData = this.get("productsData") var result = productsData.filter(item => Object.keys(selectedProducts).includes(String(item.id))) return result }), - productSpace: computed.alias('model.metaData.productSpace'), - industrySpace: computed.alias('model.metaData.industrySpace'), - productsData: computed('model', 'endDate', 'departmentCityFilterService.data', 'VCRValue', 'categoriesFilterList', function () { + filteredDataTable2: computed("model", 'vistkScatterplotService.updated', 'endDate', function () { - var id = this.get("departmentCityFilterService.id"); - var startDate = this.get("startDate"); - var endDate = this.get("endDate"); + var selectedProducts = this.get("vistkScatterplotService.selected") - return this.get("model.industries_col").filter(item => item.year >= startDate && item.year <= endDate); + console.log(selectedProducts) + var productsData = this.get("productsData") + var result = productsData.filter(item => selectedProducts.includes(item.id)) + return result }), - dateExtent: computed('model', function() { - //this.set('startDate', this.get('lastYear')); - //this.set('endDate', this.get('lastYear')); - return [this.get('firstYear'), this.get('lastYear')]; - }), - productsDataValues: computed('model', function(){ + inmutableProductsData: computed.oneWay('model.productsData'), + industriesData: computed.oneWay('model.industriesData'), - var locations = Object.entries(this.get('model.metaData.products')) + otherPossibleGraphs: computed('model.visualization', 'model.source', function() { + return [ + { type: 'similarity', description: 'graph_builder.change_graph.similarity_description', available: true, name: 'Mapa de productos' }, + { type: 'scatter', description: 'graph_builder.change_graph.scatter_description', available: true, name: 'Productos con mayor potencial' }, + ]; + }), - return locations.filter(item => item[1].level === "4digit").map((item) => { + rangeYears: computed('firstYear', 'lastYear', function(){ - var name = get(item[1], `name_short_${this.get('i18n').display}`) + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) - return {id:item[1].id, text: `${name} (${item[1].code})`} - }) + var min = this.get("firstYear") + var max = this.get("lastYear") + return [...Array(max - min + 1).keys()].map(i => i + min); }), - placeHolderText: computed('i18n.locale', 'source', function(){ - return this.get('i18n').t(`visualization.source.${this.get('source')}`).string - }), + filteredProductsData: computed('model', 'startDate', 'endDate', function (){ + var products = this.get("model.allProducts") - filteredDataAsync: observer("departmentCityFilterService.id", function () { + return products.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + }), - var id = this.get("departmentCityFilterService.id"); - var productsMetadata = this.get("model.metaData.products") - var self = this + filteredPartnersData: computed('model', 'startDate', 'endDate', function (){ - var products = $.getJSON(`${apiURL}/data/location/${id}/products?level=4digit`) + var partners = this.get("model.allPartners") + return partners.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")) + }), - var promises = [products] + hasTimeseries: computed.notEmpty('model.timeseries'), + hasOccupationData: computed.notEmpty('model.occupations'), + hasProductsData: computed.notEmpty('model.productsData'), + hasIndustriesData: computed.notEmpty('model.industriesData'), - var result = RSVP.allSettled(promises).then((array) => { - let productsData = array[0].value.data; + hasAgproductsData: computed.notEmpty('model.agproductsData'), + hasLanduseData: computed.notEmpty('model.landusesData'), - let productsDataResponse = _.reduce(productsData, (memo, d) => { - let product = productsMetadata[d.product_id]; - product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); - memo.push(_.merge(d, product)); - return memo; - }, []); + isCountry: computed.equal('model.level', 'country'), + isDepartment: computed.equal('model.level','department'), + isMsa: computed.equal('model.level','msa'), + isMunicipality: computed.equal('model.level','municipality'), + showExports: false, - self.set("departmentCityFilterService.data", productsDataResponse) + productSpace: computed.alias('model.metaData.productSpace'), + industrySpace: computed.alias('model.metaData.industrySpace'), - return productsDataResponse - }); + locationId: computed('model.id','model.level', function() { + return this.get('model.id'); }), - - filterData: computed('source', function(){ - return this.get('productsDataValues'); + imageCode: computed('model.level', 'model.code', function() { + if(this.get('isDepartment') || this.get('isCountry')) { + return this.get('model.code'); + } else { + return (this.get('model.code')).substring(0,2); + } }), - - dataNull: [], - - - occupationsData: computed.alias('model.occupationsData'), - modelData: computed.alias('model.entity'), - exportDataLocations: computed('model.data', 'startDate', function (){ - return this.get("model.locationsData").filter(item => item.year === this.get("startDate")); + productsSortedByExports: computed('productsData', function() { + return _.slice(_.sortBy(this.get('productsData'), function(d) { return -d.export_value;}), 0, 50); + }), + exportTotal: computed('productsData', function() { + var total = _.reduce(this.get('productsData'), function(memo, data) { + return memo + data.export_value; + }, 0); + return '$' + numeral(total).format('0.0a') + ' USD'; + }), + lastIndustryData: computed.filter('industriesData', function(datum) { + return parseInt(get(datum, 'year')) === this.get('lastYear'); }), + graphbuilderLink: computed('model.id', function() { + return `location-${this.get('model.id')}`; + }), + description: computed('model.name', 'i18n.locale', function() { + return this.get(`model.description_${this.get('i18n.display')}`); + }), + actions: { + toggleVisualization: function(visualization) { + this.set("visualization", visualization) + this.set("vistkScatterplotService.selected", []) + this.set("vistkScatterplotService.updated", new Date()) + }, + showExports(value) { + this.set('showExports', value); + }, + setStartYear(){ + + var year = parseInt($("#selectYear").val()) + + this.set('startDate', year) + this.set('endDate', year) + }, + } }); + diff --git a/app/controllers/location/productmappotential.js b/app/controllers/location/productmappotential.js new file mode 100644 index 00000000..371fe259 --- /dev/null +++ b/app/controllers/location/productmappotential.js @@ -0,0 +1,211 @@ +import Ember from 'ember'; +import numeral from 'numeral'; +const {computed, get:get, observer} = Ember; + +export default Ember.Controller.extend({ + i18n: Ember.inject.service(), + vistkScatterplotService: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + featureToggle: Ember.inject.service(), + queryParams: ['startDate', 'endDate'], + + search: null, + rcaFilter: 'less', + filterCategory: true, + categoriesFilterList: [], + + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + censusYear: computed.alias('featureToggle.census_year'), + + source: "products", + metadata: computed.alias('model.metaData'), + entityType: computed.alias('model.entity_type'), + entityId: computed.alias('model.entity.id'), + variable: computed.alias('model.variable'), + + rangeYears: computed('firstYear', 'lastYear', function(){ + + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + + var min = this.get("firstYear") + var max = this.get("lastYear") + return [...Array(max - min + 1).keys()].map(i => i + min); + }), + + productsDataValues: computed('model', function(){ + + var locations = Object.entries(this.get('model.metaData.products')) + + return locations.filter(item => item[1].level === "4digit").map((item) => { + + var name = get(item[1], `name_short_${this.get('i18n').display}`) + + return {id:item[1].id, text: `${name} (${item[1].code})`} + }) + }), + + filterData: computed('source', function(){ + return this.get('productsDataValues'); + }), + + placeHolderText: computed('i18n.locale', 'source', function(){ + return this.get('i18n').t(`visualization.source.${this.get('source')}`).string + }), + + filterToSelectedYears: function(data, start, end) { + let timeRange = d3.range(parseInt(start), parseInt(end) + 1); // Makes the range inclusive + return _.filter(data, function(d) { + return _.contains(timeRange, get(d, 'year')); + }); + }, + + immutableData: computed('model.products_col.[]','endDate', 'startDate' , function() { + return this.filterToSelectedYears(this.get('model.products_col'), this.get('startDate'), this.get('endDate')); + }), + + filteredData: computed('model.products_col.[]','endDate', 'startDate' , 'categoriesFilterList',function() { + + let rca = this.get('rca'); + let rcaFilter = this.get('rcaFilter'); + let data = this.get('immutableData'); + var newData = data.map(a => Object.assign({}, a)); + + let categoriesFilter = this.get('categoriesFilterList'); + + return newData.map(item => { + if(categoriesFilter.length > 0){ + if(categoriesFilter.includes(item.parent_name_es)){ + return item + } + else{ + item.color = "#ccc" + return item + } + } + else{ + return item + } + }); + + }), + + searchFilter: observer('buildermodSearchService.search', function() { + + console.log("searchFilter") + + var data = this.get("model.metaData.products"); + var selected = this.get("vistkScatterplotService.selected"); + let search = _.deburr(this.get('buildermodSearchService.search')); + var self = this; + var elementId = this.get("elementId"); + var initialSelectedProducts = this.get("initialSelectedProducts") + + if(search === ""){ + + //this.set("vistkScatterplotService.selected", []); + //this.set("vistkScatterplotService.updated", new Date()); + } + else { + var regexp = new RegExp(search.replace(/(\S+)/g, function(s) { return "\\b(" + s + ")(.*)"; }) + .replace(/\s+/g, ''), "gi"); + + + var result = _.filter(data, (d) => { + let parentName = get(d,`parent_name_${this.get('i18n').display}`); + let longName = get(d,`name_${this.get('i18n').display}`); + let shortName = get(d,`name_short_${this.get('i18n').display}`); + let code = get(d, 'code'); + + var result_city = _.deburr(`${shortName} ${longName} ${code}`).match(regexp) + + if(result_city !== null){ + return result_city; + } + return _.deburr(`${parentName} ${code}`).match(regexp); + }); + + + result.map(item => { + if(!selected.includes(item.id)){ + selected.push(item.id); + self.set("vistkScatterplotService.updated", new Date()); + d3.selectAll(`.tooltip_${item.id}`).classed('d-none', false); + } + //selected[String(item.id)] = this.getPrimariesSecondaries2(parseInt(item.id)) + //self.set('vistkNetworkService.updated', new Date()); + //d3.selectAll(`.tooltip_${item.id}_${elementId}`).classed('d-none', false); + }); + } + + }), + + filteredDataTable: computed('immutableData' , 'vistkScatterplotService.updated',function() { + + let data = this.get('immutableData'); + var updated = this.get("vistkScatterplotService.updated"); + var selected = this.get("vistkScatterplotService.selected"); + + console.log(selected) + + var result = data.filter(item => { + if(selected.includes(item.id)){ + return true; + } + }); + + return result + + }), + + modelData: computed('model.data.[]', function() { + console.log(this.get("model")) + return this.get('model.products_col'); + }), + + varDependent: computed('variable', 'source', function() { + return 'export_value'; + }), + + maxValue: computed('filteredData.[]', 'varDependent', function () { + let varDependent = this.get('varDependent'); + return d3.max(this.get('filteredData'), function(d) { return Ember.get(d, varDependent); }); + }), + + scale: computed('maxValue', 'varDependent', function(){ + let varDependent = this.get('varDependent'); + if(_.isUndefined(varDependent)){ + return d3.scale.quantize() + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); + } + return d3.scale.quantize() + .domain([0, this.get('maxValue')]) + .range(d3.range(5).map(function(i) { return 'q' + i + '-5'; })); + }), + + dateExtent: computed('model.products_col.[]', function() { + if(this.get('model.products_col').length) { + return d3.extent(this.get('model.products_col'), function(d) { return d.year; }); + } + return [this.get('firstYear'), this.get('lastYear')]; + }), + + isFiltered: computed('search', function() { + return Boolean(this.get('search')); + }), + + graph: computed('model.metaData', 'source', function() { + let source = this.get('source'); + if(source === 'industries') { + return this.get('model.metaData.industrySpace'); + } else if (source === 'products') { + return this.get('model.metaData.productSpace'); + } + }), + + + + +}); + diff --git a/app/router.js b/app/router.js index 7550f6d0..7eb1b007 100644 --- a/app/router.js +++ b/app/router.js @@ -37,7 +37,16 @@ export default Router.map(function() { this.route('show', {path: ':location_id'}); this.route('abstract', {path: ':location_id/abstract/'}); this.route('route', {path: ':location_id/route/'}); + + + + this.route('productmap', {path: ':location_id/route/product_map/'}); + this.route('productmappotential', {path: ':location_id/route/product_map/potential/'}); + + + + this.route('productmapdetail', {path: ':location_id/route/product_map/detail/'}); this.route('productmapprimaries', {path: ':location_id/route/product_map/primaries/'}); @@ -48,7 +57,15 @@ export default Router.map(function() { this.route('locationimports', {path: ':location_id/route/imports/'}); this.route('locationwages', {path: ':location_id/route/wages/'}); + + + this.route('complexsectors', {path: ':location_id/route/complex_sectors/'}); + + + + + this.route('potential', {path: ':location_id/route/potential/'}); this.route('complexsectorsdetail', {path: ':location_id/route/complex_sectors/detail/'}); diff --git a/app/routes/location/complexsectors.js b/app/routes/location/complexsectors.js index d80f3f7b..ae376af1 100644 --- a/app/routes/location/complexsectors.js +++ b/app/routes/location/complexsectors.js @@ -22,7 +22,7 @@ export default Ember.Route.extend({ let hash = { model: this.store.find('location', params.location_id), - industries_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/industries?level=class`), + products_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/products?level=4digit`), } return RSVP.hash(hash).then((hash) => { @@ -32,31 +32,27 @@ export default Ember.Route.extend({ //return this.store.find('product', params.product_id); }, departmentsDataMunging(hash) { - let {model, industries_col} = hash; - let industriesMetadata = this.modelFor('application').industries; - var industriesDataIndex = _.indexBy(getWithDefault(industries_col, 'data', []), 'industry_data'); + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); //get products data for the department - let industries = _.reduce(industries_col.data, (memo, d) => { - let industry = industriesMetadata[d.industry_id]; - if(model.id === '0') { d.rca = 1; } - let industryData = industriesDataIndex[d.industry_id]; - industry.complexity = _.result(_.find(industry.pci_data, { year: d.year}), 'complexity'); - memo.push(_.merge(d, industry, industryData)); - return memo; - }, []); + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); return Ember.Object.create({ entity: model, - industries_col: industries, + products_col: products, metaData: this.modelFor('application') }); }, setupController(controller, model) { //this.set('buildermodSearchService.search', null); this._super(controller, model); - startDate: this.get('firstYear') - endDate: this.get('lastYear') window.scrollTo(0, 0); }, resetController(controller, isExiting) { diff --git a/app/routes/location/productmappotential.js b/app/routes/location/productmappotential.js new file mode 100644 index 00000000..ae376af1 --- /dev/null +++ b/app/routes/location/productmappotential.js @@ -0,0 +1,65 @@ +import Ember from 'ember'; +import ENV from '../../config/environment'; + +const {apiURL} = ENV; + +const {RSVP, computed, copy, get, $, set, getWithDefault} = Ember; + +export default Ember.Route.extend({ + + i18n: Ember.inject.service(), + featureToggle: Ember.inject.service(), + buildermodSearchService: Ember.inject.service(), + firstYear: computed.alias('featureToggle.first_year'), + lastYear: computed.alias('featureToggle.last_year'), + + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + }, + + model(params) { + + let hash = { + model: this.store.find('location', params.location_id), + products_col: $.getJSON(`${apiURL}/data/location/${params.location_id}/products?level=4digit`), + } + + return RSVP.hash(hash).then((hash) => { + return this.departmentsDataMunging(hash); + }); + + //return this.store.find('product', params.product_id); + }, + departmentsDataMunging(hash) { + let {model, products_col} = hash; + let productsMetadata = this.modelFor('application').products; + var productsDataIndex = _.indexBy(getWithDefault(products_col, 'data', []), 'product_id'); + + //get products data for the department + let products = _.reduce(products_col.data, (memo, d) => { + let product = productsMetadata[d.product_id]; + product.complexity = _.result(_.find(product.pci_data, { year: d.year }), 'pci'); + memo.push(_.merge(d, product)); + return memo; + }, []); + + return Ember.Object.create({ + entity: model, + products_col: products, + metaData: this.modelFor('application') + }); + }, + setupController(controller, model) { + //this.set('buildermodSearchService.search', null); + this._super(controller, model); + window.scrollTo(0, 0); + }, + resetController(controller, isExiting) { + + if (isExiting) { + controller.setProperties({ + }); + } + } +}); diff --git a/app/styles/components/_visualizations/_scatterplot.scss b/app/styles/components/_visualizations/_scatterplot.scss index cd1f50fe..99a82048 100755 --- a/app/styles/components/_visualizations/_scatterplot.scss +++ b/app/styles/components/_visualizations/_scatterplot.scss @@ -38,5 +38,6 @@ } .items__mark__text{ - fill: white; + fill: $colorThree; } + diff --git a/app/templates/location/complexsectors.hbs b/app/templates/location/complexsectors.hbs index f7016fcd..f1721c8d 100644 --- a/app/templates/location/complexsectors.hbs +++ b/app/templates/location/complexsectors.hbs @@ -1,7 +1,279 @@ -
    -

    CASO 34

    +{{component "stream-header" model=model.entity type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + + +
    +
    + +
    +
    +

    Filtrar por Año

    +
    + +
    + +
    +
    +
    + +
    +
    + +
    + +
    +
    + +
    + {{partial "partials/buildermod-drawer-change-graph-products"}} +
    + +
    + +{{#if (is-equal visualization "similarity") }} + +
    + + +
    + +
    +
    + + + + + + + +
    +
    + +
    +
    +

    ALTO NIVEL DE COMPLEJIDAD

    +
    +
    +

    BAJO NIVEL DE COMPLEJIDAD

    +
    +
    +

    {{vistkNetworkService.updated}}

    +
    + {{vistk-network + data=productsData + immutableData=productsData + elementId=elementId + dataType='products' + metadata=model.metaData + varDependent='employment' + graph=productSpace + height=600 + delay=3500 + showMiddle=true + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=true + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + selectedProducts=selectedProducts + show10=true + }} +
    + +
    + + +
    + + +
    + +
    + {{#link-to 'location.complexsectorsdetail' model.entity.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    + +
    + + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable + source="industries" + entityType="industries" + elementId="industriesTable" + }} +
    +
    +
    + +{{/if}} + + +{{#if (is-equal visualization "scatter") }} + +
    + + +
    + +
    +
    + + + + + + + +
    +
    + +
    + +
    +

    {{vistkScatterplotService.updated}}

    +

    {{vistkScatterplotService.selected}}

    +

    {{buildermodSearchService.search}}

    +
    + {{vistk-scatterplot + classNames='buildermod__viz' + immutableData=productsData + modelData=modelData + data=productsData + dataType='industries' + varDependent=varDependent + scale=scale + startDate=startDate + dateExtent=dateExtent + endDate=endDate + metadata=metadata + isFiltered=false + entityType=entityType + entityId=entityId + variable=variable + graph=productSpace + elementId="scatterplot" + + metadata=model.metaData + varDependent='export_value' + + filterCategory=true + title="SECTORES DE" + subtitle="LOS PRODUCTOS" + selected=model.entity.id + canFilterVcr=false + VCRValue=VCRValue + categoriesFilterList=categoriesFilterList + show10=true + }} +
    + +
    + + +
    + + +
    + +
    + {{#link-to 'location.potential' model.entity.id (query-params startDate=startDate endDate=startDate) + class="btn btn-outline-secondary" + }} + + VER MAS + {{/link-to}} +
    + +
    + + +
    +
    +
    + {{ + datlas-table + data=filteredDataTable2 + source="products" + entityType="products" + elementId="industriesTable2" + }} +
    +
    +
    + +{{/if}} + +
    diff --git a/app/templates/location/productmap.hbs b/app/templates/location/productmap.hbs index cb01c024..1f9a9597 100644 --- a/app/templates/location/productmap.hbs +++ b/app/templates/location/productmap.hbs @@ -161,7 +161,7 @@
    -
    +
    @@ -248,7 +248,7 @@
    - {{#link-to 'location.productmap' model.entity.id (query-params startDate=startDate endDate=startDate) + {{#link-to 'location.productmappotential' model.entity.id (query-params startDate=startDate endDate=startDate) class="btn btn-outline-secondary" }} diff --git a/app/templates/location/productmappotential.hbs b/app/templates/location/productmappotential.hbs new file mode 100644 index 00000000..f9c99fe8 --- /dev/null +++ b/app/templates/location/productmappotential.hbs @@ -0,0 +1,110 @@ +{{component "stream-header" model=model.entity type='location' extra_type="location_route" firstYear=firstYear lastYear=lastYear}} + + +
    +
    +
    + {{ + component 'buildermod-search' + source=source + filterData=filterData + placeHolderText=placeHolderText + visualization=visualization + startDate=startDate + endDate=endDate + dateExtent=dateExtent + canYearToggle=true + isScatter=false + rcaFilter=false + isSingleYearData=isSingleYearData + source=source + search=search + }} +
    +
    +
    + +
    + + +
    +
    +
    +

    {{vistkScatterplotService.updated}}

    +

    {{vistkScatterplotService.selected}}

    +

    {{buildermodSearchService.search}}

    + {{vistk-scatterplot + classNames='buildermod__viz' + immutableData=immutableData + modelData=modelData + data=filteredData + dataType=source + varDependent=varDependent + scale=scale + startDate=startDate + dateExtent=dateExtent + endDate=endDate + metadata=metadata + isFiltered=isFiltered + entityType=entityType + entityId=entityId + variable=variable + search=search + graph=graph + elementId=source + toolTips=toolTips + range=range + canUpdateBuildermodSearchService=canUpdateBuildermodSearchService + filterCategory=true + resetFilter=resetFilter + canFilterVcr=false + title="PRODUCTOS" + subtitle="POR SECTOR" + groupByParent=groupByParent + categoriesFilterList=categoriesFilterList + }} + + +
    +
    +
    + +
    + + +
    +
    +
    + + {{ + datlas-table + data=filteredDataTable + source=source + entityType=entityType + search=search + startDate=startDate + endDate=endDate + elementId="sourceTable" + title_data=(is-concat endDate ' - ' variableTitle ' - ' model.entity.name ' (' model.entity.code ')') + }} + +
    +
    +
    + +
    +
    + {{#link-to 'location.productmap' model.entity.id (query-params startDate=startDate endDate=endDate) + class="btn btn-outline-secondary" + }} + ANTERIOR + {{/link-to}} +
    + +
    From ad4fe035b9ab97b8fa5691dd6f6c04a9005f45df Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Sun, 3 Oct 2021 17:08:33 -0500 Subject: [PATCH 051/126] Release 0.18.1 --- app/components/vistk-network.js | 74 +++++++++++++++++- app/components/vistk-scatterplot.js | 2 - app/controllers/location/complexsectors.js | 5 -- app/controllers/location/potential.js | 3 - app/controllers/location/productmap.js | 5 -- .../location/productmappotential.js | 5 -- app/controllers/location/show.js | 5 +- app/controllers/visualization.js | 7 ++ app/routes/location/show.js | 4 + app/templates/components/zoomable-treemap.hbs | 18 +++-- .../location/-department-dotplots.hbs | 15 +++- .../location/-municipality-dotplots.hbs | 18 +++-- .../location/-subregion-dotplots.hbs | 16 ++-- app/templates/visualization.hbs | 39 ++++++++- public/assets/img/infografias/census.png | Bin 0 -> 51404 bytes 15 files changed, 165 insertions(+), 51 deletions(-) create mode 100644 public/assets/img/infografias/census.png diff --git a/app/components/vistk-network.js b/app/components/vistk-network.js index e0b46c40..6a1466c9 100644 --- a/app/components/vistk-network.js +++ b/app/components/vistk-network.js @@ -22,6 +22,7 @@ export default Ember.Component.extend({ let indexedData = _.indexBy(this.get('data'), 'id'); let metadataIndex = this.get('dataMetadata'); + var toolTipsData = this.get('toolTipsData'); var networkData = _.map(this.get('nodes'), function(d) { let datum = indexedData[d.id] || metadataIndex[d.id]; @@ -34,6 +35,7 @@ export default Ember.Component.extend({ d[this.get('varDependent')] = datum[this.get('varDependent')]; d[this.get('varRCA')] = datum[this.get('varRCA')]; d[this.get('varAmount')] = datum[this.get('varAmount')]; + toolTipsData.map(value => { d[value] = datum[value] }) } return d; }, this); @@ -111,12 +113,12 @@ export default Ember.Component.extend({ return result_object }, - network: computed('data.[]', 'varDependent', 'dataType', 'vis', 'i18n.locale', 'toolTipsData', 'categoriesFilterList', 'vistkNetworkService.updated', function() { + network: computed('data.[]', 'varDependent', 'dataType', 'vis', 'i18n.locale', 'toolTipsData', 'categoriesFilterList', function() { + let vistkLanguage = this.get('i18n.display') === 'es' ? 'es_ES': 'en_EN'; var selectedProducts = this.get("selectedProducts"); - //console.log(selectedProducts) var VCRValue = this.get("VCRValue"); var categoriesFilter = this.get("categoriesFilterList"); @@ -131,7 +133,7 @@ export default Ember.Component.extend({ VCRValue = 1 } - var tooltips = ["employment", "complexity"]; + var tooltips = this.get("toolTipsData"); var self = this; var width = self.get("width"); var height = self.get("height"); @@ -421,6 +423,69 @@ export default Ember.Component.extend({ } }), + formatNumber: (number, key, i18n) => { + var decimalVars = [ + 'export_rca', + 'eci', + 'industry_eci', + 'rca', + 'complexity', + 'distance', + 'cog', + 'coi', + 'industry_coi', + 'population', + 'yield_ratio', + 'yield_index', + 'average_livestock_load', + ]; + var percentVars = [ + 'share', + 'employment_growth' + ]; + var wageVarsInThousands = [ + 'wages', + 'avg_wages', + 'avg_wage', + ]; + var moneyVars = [ + 'gdp_pc_real', + 'gdp_real', + ]; + var largeNumbers = [ + 'export_value', + 'import_value', + 'monthly_wages', + 'average_wages', + 'area', + 'production_tons', + 'land_sown', + 'land_harvested', + 'num_farms', + 'num_livestock', + ]; + + if(_.include(wageVarsInThousands, key)){ + return numeral(number).divide(1000).format('0,0'); + } else if(_.include(decimalVars, key)){ + return numeral(number).format('0.00a'); + } else if(key === 'employment'){ + return numeral(Math.ceil(number)).format('0,0'); + } else if(key === 'num_establishments' || key === 'export_num_plants'){ + if(parseInt(number) < 6) { + return i18n.t('graph_builder.table.less_than_5'); + } + return numeral(number).format('0,0'); + } else if(_.include(percentVars, key)){ + return numeral(number).format('0.00%'); + } else if(_.include(largeNumbers, key)) { + return numeral(number).format('0,0'); + } else if(_.include(moneyVars, key)) { + return numeral(number).format('$0.00a'); + } else { + return number; + } + }, inmutableNestedData: computed('inmutableDataInternal.[]', 'varDependent', 'i18n.locale', 'toolTips', function () { var data = this.get('data'); @@ -583,7 +648,7 @@ export default Ember.Component.extend({ //var updated = this.get("inmutableDataInternal").filter(item => categoriesFilter.includes(item.parent_name_es) ) this.set("vistkNetworkService.categoriesFilter", categoriesFilter) }), - update: observer('data.[]', 'varDependent', 'i18n.locale', function() { + update: observer('data.[]', 'varDependent', 'i18n.locale', 'categoriesFilterList', function() { if(!this.element){ return false; } //do not redraw if not there @@ -709,6 +774,7 @@ export default Ember.Component.extend({ } this.set("categoriesFilterList", categoriesFilter); + this.set("vistkNetworkService.categoriesFilter", categoriesFilter) //this.set("treemapService.filter_update", new Date()) //this.set("treemapService.filter_updated_data", updatedData) diff --git a/app/components/vistk-scatterplot.js b/app/components/vistk-scatterplot.js index 411a1563..e1ba2935 100644 --- a/app/components/vistk-scatterplot.js +++ b/app/components/vistk-scatterplot.js @@ -440,8 +440,6 @@ export default Ember.Component.extend({ // definitely is not a scatterplot component concern this.set("inmutableDataInternal", this.get("data")); - console.log( $(".js-range-slider")) - let id = this.get('entityId'); let locationLevel = this.get(`metadata.locations.${id}.level`); diff --git a/app/controllers/location/complexsectors.js b/app/controllers/location/complexsectors.js index c3f0e388..fd6869d7 100644 --- a/app/controllers/location/complexsectors.js +++ b/app/controllers/location/complexsectors.js @@ -37,7 +37,6 @@ export default Ember.Controller.extend({ elementId: 'product_space', entityId: computed.alias('model.entity.id'), modelData: computed('model.data.[]', function() { - console.log(this.get("model")) return this.get('model.products_col'); }), varDependent: computed('variable', 'source', function() { @@ -72,8 +71,6 @@ export default Ember.Controller.extend({ var endDate = this.get("endDate"); var data = this.get("model.products_col") - console.log(this.get("model")) - var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); return data_filtered @@ -95,8 +92,6 @@ export default Ember.Controller.extend({ var selectedProducts = this.get("vistkScatterplotService.selected") - console.log(selectedProducts) - var productsData = this.get("productsData") var result = productsData.filter(item => selectedProducts.includes(item.id)) diff --git a/app/controllers/location/potential.js b/app/controllers/location/potential.js index c9dc53be..ede861e3 100644 --- a/app/controllers/location/potential.js +++ b/app/controllers/location/potential.js @@ -145,8 +145,6 @@ export default Ember.Controller.extend({ var updated = this.get("vistkScatterplotService.updated"); var selected = this.get("vistkScatterplotService.selected"); - console.log(selected) - var result = data.filter(item => { if(selected.includes(item.id)){ return true; @@ -158,7 +156,6 @@ export default Ember.Controller.extend({ }), modelData: computed('model.data.[]', function() { - console.log(this.get("model")) return this.get('model.industries_col'); }), diff --git a/app/controllers/location/productmap.js b/app/controllers/location/productmap.js index c3f0e388..fd6869d7 100644 --- a/app/controllers/location/productmap.js +++ b/app/controllers/location/productmap.js @@ -37,7 +37,6 @@ export default Ember.Controller.extend({ elementId: 'product_space', entityId: computed.alias('model.entity.id'), modelData: computed('model.data.[]', function() { - console.log(this.get("model")) return this.get('model.products_col'); }), varDependent: computed('variable', 'source', function() { @@ -72,8 +71,6 @@ export default Ember.Controller.extend({ var endDate = this.get("endDate"); var data = this.get("model.products_col") - console.log(this.get("model")) - var data_filtered = data.filter(item => item.year >= startDate && item.year <= endDate); return data_filtered @@ -95,8 +92,6 @@ export default Ember.Controller.extend({ var selectedProducts = this.get("vistkScatterplotService.selected") - console.log(selectedProducts) - var productsData = this.get("productsData") var result = productsData.filter(item => selectedProducts.includes(item.id)) diff --git a/app/controllers/location/productmappotential.js b/app/controllers/location/productmappotential.js index 371fe259..e0aee677 100644 --- a/app/controllers/location/productmappotential.js +++ b/app/controllers/location/productmappotential.js @@ -93,8 +93,6 @@ export default Ember.Controller.extend({ searchFilter: observer('buildermodSearchService.search', function() { - console.log("searchFilter") - var data = this.get("model.metaData.products"); var selected = this.get("vistkScatterplotService.selected"); let search = _.deburr(this.get('buildermodSearchService.search')); @@ -147,8 +145,6 @@ export default Ember.Controller.extend({ var updated = this.get("vistkScatterplotService.updated"); var selected = this.get("vistkScatterplotService.selected"); - console.log(selected) - var result = data.filter(item => { if(selected.includes(item.id)){ return true; @@ -160,7 +156,6 @@ export default Ember.Controller.extend({ }), modelData: computed('model.data.[]', function() { - console.log(this.get("model")) return this.get('model.products_col'); }), diff --git a/app/controllers/location/show.js b/app/controllers/location/show.js index 8e7f27d7..f4f7792f 100644 --- a/app/controllers/location/show.js +++ b/app/controllers/location/show.js @@ -1,6 +1,6 @@ import Ember from 'ember'; import numeral from 'numeral'; -const {computed, get:get} = Ember; +const {computed, get:get, observer} = Ember; export default Ember.Controller.extend({ i18n: Ember.inject.service(), @@ -10,9 +10,10 @@ export default Ember.Controller.extend({ startDate: null, endDate: null, - categoriesFilterListlastProductsData: [], + categoriesFilterList: [], categoriesFilterListlastIndustryData: [], + firstYear: computed.alias('featureToggle.first_year'), lastYear: computed.alias('featureToggle.last_year'), censusYear: computed.alias('featureToggle.census_year'), diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index b89ce8c5..9768f17e 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -12,6 +12,13 @@ export default Ember.Controller.extend({ lastDataTableUpdate: null, lastDataUpdate: null, resetFilter: null, + showCensus: computed("model", function () { + var entity_type = this.get("model.entity_type") + if(["landUse","nonag", "livestock"].includes(entity_type)){ + return true + } + return false + }), queryParams: ['search', 'startDate', 'endDate', 'toolTips'], search: null, diff --git a/app/routes/location/show.js b/app/routes/location/show.js index e0c74bdb..cc98e0aa 100644 --- a/app/routes/location/show.js +++ b/app/routes/location/show.js @@ -298,6 +298,10 @@ export default Ember.Route.extend({ }, setupController(controller, model) { this._super(controller, model); + controller.setProperties({ + categoriesFilterList: [], + categoriesFilterListlastIndustryData: [] + }); this.controllerFor('application').set('entity', model.get('constructor.modelName')); this.controllerFor('application').set('entity_id', model.get('id')); window.scrollTo(0, 0); diff --git a/app/templates/components/zoomable-treemap.hbs b/app/templates/components/zoomable-treemap.hbs index 6ec42770..25f879d4 100644 --- a/app/templates/components/zoomable-treemap.hbs +++ b/app/templates/components/zoomable-treemap.hbs @@ -1,11 +1,3 @@ -
    -
    -
    - - -
    -
    -
    @@ -52,6 +44,16 @@ {{/each}}
    + +
    +
    +
    + + +
    +
    +
    +
    {{/if}} diff --git a/app/templates/location/-department-dotplots.hbs b/app/templates/location/-department-dotplots.hbs index 98818e95..17714bc9 100755 --- a/app/templates/location/-department-dotplots.hbs +++ b/app/templates/location/-department-dotplots.hbs @@ -232,7 +232,7 @@
    -
    +
    @@ -244,8 +244,9 @@ elementId='zoomable-export-value-treemap' class="position-relative" filterCategory=true - toolTips="rca,complexity" + toolTips="export_rca,complexity" groupByParent=true + title_filter=(is-concat 'Exportaciones, USD ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -262,6 +263,7 @@ filterCategory=true toolTips="rca,complexity" groupByParent=true + title_filter=(is-concat 'Importaciones, USD ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -277,6 +279,7 @@ class="position-relative" filterCategory=true groupByParent=true + title_filter=(is-concat 'Empleo Total ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -292,6 +295,7 @@ class="position-relative" filterCategory=true groupByParent=true + title_filter=(is-concat 'Nómina Salarial ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -307,7 +311,8 @@

    BAJO NIVEL DE COMPLEJIDAD

    -

    {{vistkNetworkService.updated}}

    +

    {{vistkNetworkService.updated}}

    +

    {{categoriesFilterList}}

    {{vistk-network @@ -324,7 +329,8 @@ filterCategory=true title="SECTORES DE" subtitle="LOS PRODUCTOS" - categoriesFilterList=categoriesFilterListlastProductsData + categoriesFilterList=categoriesFilterList + toolTips="complexity" }}
    @@ -348,6 +354,7 @@ title="SECTORES" subtitle="LOS PRODUCTOS" categoriesFilterList=categoriesFilterListlastIndustryData + toolTips="complexity" }}
    diff --git a/app/templates/location/-municipality-dotplots.hbs b/app/templates/location/-municipality-dotplots.hbs index 0c1fdbed..674735eb 100644 --- a/app/templates/location/-municipality-dotplots.hbs +++ b/app/templates/location/-municipality-dotplots.hbs @@ -111,7 +111,7 @@
    -
    +
    @@ -123,8 +123,9 @@ elementId='zoomable-export-value-treemap' class="position-relative" filterCategory=true - toolTips="rca,complexity" + toolTips="export_rca,complexity" groupByParent=true + title_filter=(is-concat 'Exportaciones, USD ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -141,6 +142,7 @@ filterCategory=true toolTips="rca,complexity" groupByParent=true + title_filter=(is-concat 'Importaciones, USD ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -156,6 +158,7 @@ class="position-relative" filterCategory=true groupByParent=true + title_filter=(is-concat 'Empleo Total ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -171,6 +174,7 @@ class="position-relative" filterCategory=true groupByParent=true + title_filter=(is-concat 'Nómina Salarial ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -203,7 +207,8 @@ filterCategory=true title="SECTORES DE" subtitle="LOS PRODUCTOS" - type="productSpace" + categoriesFilterList=categoriesFilterList + toolTips="complexity" }}
    @@ -213,20 +218,21 @@
    - {{vistk-network + {{vistk-network data=lastIndustryData immutableData=lastIndustryData elementId='industry-space' dataType='industries' metadata=model.metaData - varDependent='export_value' + varDependent='wages' graph=industrySpace height=600 delay=2000 filterCategory=true title="SECTORES" subtitle="LOS PRODUCTOS" - type="industrySpace" + categoriesFilterList=categoriesFilterListlastIndustryData + toolTips="complexity" }}
    diff --git a/app/templates/location/-subregion-dotplots.hbs b/app/templates/location/-subregion-dotplots.hbs index 87a5e1ab..66a9ad95 100755 --- a/app/templates/location/-subregion-dotplots.hbs +++ b/app/templates/location/-subregion-dotplots.hbs @@ -94,7 +94,7 @@
    -
    +
    @@ -106,8 +106,9 @@ elementId='zoomable-export-value-treemap' class="position-relative" filterCategory=true - toolTips="rca,complexity" + toolTips="export_rca,complexity" groupByParent=true + title_filter=(is-concat 'Exportaciones, USD ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -124,6 +125,7 @@ filterCategory=true toolTips="rca,complexity" groupByParent=true + title_filter=(is-concat 'Importaciones, USD ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -139,6 +141,7 @@ class="position-relative" filterCategory=true groupByParent=true + title_filter=(is-concat 'Empleo Total ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -154,6 +157,7 @@ class="position-relative" filterCategory=true groupByParent=true + title_filter=(is-concat 'Nómina Salarial ' '(' lastYear ')' ' - ' model.name ' (' model.code ')') }}
    @@ -186,7 +190,8 @@ filterCategory=true title="SECTORES DE" subtitle="LOS PRODUCTOS" - type="productSpace" + categoriesFilterList=categoriesFilterList + toolTips="complexity" }}
    @@ -202,14 +207,15 @@ elementId='industry-space' dataType='industries' metadata=model.metaData - varDependent='export_value' + varDependent='wages' graph=industrySpace height=600 delay=2000 filterCategory=true title="SECTORES" subtitle="LOS PRODUCTOS" - type="industrySpace" + categoriesFilterList=categoriesFilterListlastIndustryData + toolTips="complexity" }} diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index bb142e5f..40d2ed6c 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -59,7 +59,42 @@ {{#unless hideVisualization }}
    -

    {{builderModHeader}}

    + +

    {{builderModHeader}}

    + {{#if showCensus }} + + + + + + + + {{/if}} +

    {{headerValue}}

    {{years}}

    @@ -87,7 +122,7 @@ }} -
    +
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z$~hL7d$m@g2L)1|be4D@lQ(j>?$aj``ZEP|O2XA%L~s5`1fev@;~i+Q!5Pb!+k?)kTN>3yVXr$h_2Low z*H8|!_^*OiN6?+EJB}wiC19@GsgCdndoKKT>6I0K{#Zi^&8xSTlvClalwR6H!U)IJ z6f#G}n{~+wpVHe=*&e}&@|uX`XXCp5@pt#dyO>r#InKjqT+P(zj1fj&l>T zniGFV_Ak~W+mJn83E5w- Date: Mon, 4 Oct 2021 16:20:35 -0500 Subject: [PATCH 052/126] Release 0.18.2 --- .../autocomplete-chained-input-datlas.js | 4 +- app/components/geo-map.js | 12 ++-- app/components/multiples-graph.js | 8 ++- app/components/small-multiples-set.js | 7 +- app/components/zoomable-treemap.js | 12 ++-- app/controllers/product/abstract.js | 15 ++-- app/controllers/visualization.js | 33 +++++++-- app/locales/es-col/translations.js | 2 + app/mixins/table-map.js | 12 ++++ app/routes/product/abstract.js | 18 ++++- app/routes/product/visualization.js | 2 + app/templates/components/zoomable-treemap.hbs | 6 +- .../location/-municipality-dotplots.hbs | 69 ------------------- app/templates/location/-questions.hbs | 4 +- app/templates/product/-questions.hbs | 12 ++-- app/templates/product/abstract.hbs | 13 ++-- app/templates/visualization.hbs | 39 ++++++----- 17 files changed, 130 insertions(+), 138 deletions(-) diff --git a/app/components/autocomplete-chained-input-datlas.js b/app/components/autocomplete-chained-input-datlas.js index 6ea87bc5..ae6ab5ac 100644 --- a/app/components/autocomplete-chained-input-datlas.js +++ b/app/components/autocomplete-chained-input-datlas.js @@ -122,7 +122,9 @@ export default Ember.Component.extend({ }); $eventSelect2.on("select2:select", function (e) { - + let text= $(`#${id_select2} option:selected`).text(); + self.set('search', text); + self.set("buildermodSearchService.search", text); }); }), didInsertElement: function() { diff --git a/app/components/geo-map.js b/app/components/geo-map.js index 5c86f14a..a6702a1a 100644 --- a/app/components/geo-map.js +++ b/app/components/geo-map.js @@ -38,12 +38,12 @@ export default Ember.Component.extend({ screens.prepend(img); var d = new Date(); - var title = self.get("title"); + var filename = self.get("filename"); var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() - if(title){ - file_name = title; + if(filename){ + file_name = filename; } html2canvas($(`.visualizationComponent_div`).get(0), { @@ -82,12 +82,12 @@ export default Ember.Component.extend({ var totalPDFPages = Math.ceil(HTML_Height / PDF_Height) - 1; var d = new Date(); - var title = self.get("title"); + var filename = self.get("filename"); var file_name = d.getDate() + "-" + (d.getMonth()+1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds() - if(title){ - file_name = title; + if(filename){ + file_name = filename; } html2canvas(containerElement, { diff --git a/app/components/multiples-graph.js b/app/components/multiples-graph.js index 9f904d49..eb738a19 100644 --- a/app/components/multiples-graph.js +++ b/app/components/multiples-graph.js @@ -423,7 +423,9 @@ export default Ember.Component.extend({ }, savePdf: function savePdf() { alert('Iniciando la descarga, este proceso tardará un momento.'); - var title = this.get("title"); + var filename = this.get("filename"); + + console.log(filename) var PDF_Width = 800; var PDF_Height = 600; @@ -434,8 +436,8 @@ export default Ember.Component.extend({ var d = new Date(); var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); - if(title){ - file_name = title; + if(filename){ + file_name = filename; } for (var domNode of domNodes) { diff --git a/app/components/small-multiples-set.js b/app/components/small-multiples-set.js index 8dae4631..1ea66e55 100644 --- a/app/components/small-multiples-set.js +++ b/app/components/small-multiples-set.js @@ -98,7 +98,8 @@ export default Ember.Component.extend({ actions: { savePdf: function savePdf() { alert('La descarga tardara un momento. Por favor espere...'); - var title = this.get("title"); + var filename = this.get("filename"); + var PDF_Width = 800; var PDF_Height = 600; var pdf = new jsPDF('l', 'pt', [PDF_Width, PDF_Height]); @@ -108,8 +109,8 @@ export default Ember.Component.extend({ var d = new Date(); var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); - if(title){ - file_name = title; + if(filename){ + file_name = filename; } for (var domNode of domNodes) { diff --git a/app/components/zoomable-treemap.js b/app/components/zoomable-treemap.js index 7d59ee10..272f1f8c 100644 --- a/app/components/zoomable-treemap.js +++ b/app/components/zoomable-treemap.js @@ -855,14 +855,14 @@ export default Ember.Component.extend({ savePng() { var id = `#${this.get("elementId")}_section`; - var title = this.get("title"); + var filename = this.get("filename"); var title_filter = this.get("title_filter"); var domNode = $(`${id}`).get(0); var d = new Date(); var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); - if(title){ - file_name = title; + if(filename){ + file_name = filename; } if(title_filter){ @@ -888,7 +888,7 @@ export default Ember.Component.extend({ savePdf() { var id = `#${this.get("elementId")}_section`; - var title = this.get("title"); + var filename = this.get("filename"); var title_filter = this.get("title_filter"); var domNodes = $(`${id}`); @@ -902,8 +902,8 @@ export default Ember.Component.extend({ var d = new Date(); var file_name = d.getDate() + "-" + (d.getMonth() + 1) + "-" + d.getFullYear() + " " + d.getHours() + "_" + d.getMinutes() + "_" + d.getSeconds(); - if(title){ - file_name = title; + if(filename){ + file_name = filename; } if(title_filter){ diff --git a/app/controllers/product/abstract.js b/app/controllers/product/abstract.js index 96fe5e28..df023a29 100644 --- a/app/controllers/product/abstract.js +++ b/app/controllers/product/abstract.js @@ -35,7 +35,7 @@ export default Ember.Controller.extend({ return sorted; }), filteredDataLocationsTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; + return [[ 5, "desc" ]]; }), filteredDataLocationsTop5Import: computed('model', 'startDate', function (){ @@ -45,7 +45,7 @@ export default Ember.Controller.extend({ return sorted; }), filteredDataLocationsTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 3, "desc" ]]; + return [[ 5, "desc" ]]; }), exportDataCities: computed('model.data', 'startDate', function (){ @@ -60,7 +60,7 @@ export default Ember.Controller.extend({ return sorted; }), filteredDataCitiesTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; + return [[ 6, "desc" ]]; }), filteredDataCitiesTop5Import: computed('model.data', 'startDate', function (){ @@ -70,7 +70,7 @@ export default Ember.Controller.extend({ return sorted; }), filteredDataCitiesTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; + return [[ 6, "desc" ]]; }), @@ -82,10 +82,13 @@ export default Ember.Controller.extend({ var products = this.get("model.partnersData") var filtered = products.filter(item => item.year === this.get("startDate")) var sorted = _.slice(_.sortBy(filtered, function(d) { return -d.export_value;}), 0, 5); + + console.log(sorted) + return sorted; }), filteredDataPartnersTop5ExportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; + return [[ 6, "desc" ]]; }), filteredDataPartnersTop5Import: computed('model.data', 'startDate', function (){ @@ -95,7 +98,7 @@ export default Ember.Controller.extend({ return sorted; }), filteredDataPartnersTop5ImportOrder: computed('model', 'startDate', 'endDate', function (){ - return [[ 4, "desc" ]]; + return [[ 5, "desc" ]]; }), actions: { diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index 9768f17e..ed065054 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -20,7 +20,7 @@ export default Ember.Controller.extend({ return false }), - queryParams: ['search', 'startDate', 'endDate', 'toolTips'], + queryParams: ['search', 'startDate', 'endDate', 'toolTips', 'showBack'], search: null, range: null, @@ -38,10 +38,13 @@ export default Ember.Controller.extend({ var source = this.get("source"); if(source == "cities"){ - return false + return false; } else if(source == "municipalities"){ - return false + return false; + } + else if(source == "partners"){ + return false; } return true }), @@ -593,6 +596,7 @@ export default Ember.Controller.extend({ return this.get('i18n').t(`general.${entityType}`); }), modelData: computed('model.data.[]', function() { + console.log(this.get("model")) if(this.get('source') === "departments" && this.get('visualization') === "treemap"){ return this.get('model.cities'); } @@ -617,6 +621,9 @@ export default Ember.Controller.extend({ else if(this.get('source') === "agproducts"){ return true; } + else if(this.get('source') === "partners"){ + return true; + } return false; }), canFilterVcr: computed('source', 'visualization', function(){ @@ -637,8 +644,19 @@ export default Ember.Controller.extend({ } return this.filterToSelectedYears(this.get('model.data'), this.get('startDate'), this.get('endDate')); }), + + addColorYears: computed("source", function () { + var source = this.get("source"); + if(["partners"].includes(source)){ + return false; + } + return true; + }), + filteredData: computed('immutableData.[]', 'startDate', 'endDate', 'rcaFilter', 'buildermodSearchService.search', 'treemapService.filter_update', 'search', function() { + var addColorYears = this.get("addColorYears"); + if(this.get("lastDataUpdate") !== this.get("treemapService.filter_update")){ this.set("lastDataUpdate", this.get("treemapService.filter_update")); @@ -668,9 +686,12 @@ export default Ember.Controller.extend({ } } - _.forEach(data, (d) => { - d.color = this.getColorYear(d.year); - }); + if(addColorYears){ + _.forEach(data, (d) => { + d.color = this.getColorYear(d.year); + }); + } + return data; }), diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 9c5ca804..69ea0c47 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -424,6 +424,8 @@ export default { "graph_builder.settings.year.next": "Siguiente", "graph_builder.settings.year.previous": "Anterior", "graph_builder.table.agproduct": "Producto Agr\u00edcola", + "graph_builder.table.product": "Producto", + "graph_builder.table.product_code": "Código del producto", "graph_builder.table.area": "\u00c1rea (ha)", "graph_builder.table.average_livestock_load": "", "graph_builder.table.average_wages": "Salario mensual promedio, Col$ ", diff --git a/app/mixins/table-map.js b/app/mixins/table-map.js index c146d4d7..f6d0976e 100644 --- a/app/mixins/table-map.js +++ b/app/mixins/table-map.js @@ -200,6 +200,8 @@ export default Ember.Mixin.create({ let columns = [ { key: 'code' }, { key: 'name', copy: 'location' }, + { key: 'product_code' }, + { key: 'product_name_short_es', copy: 'product' }, { key: 'year' }, { key: 'export_value' }, { key: 'export_rca' }, @@ -213,6 +215,8 @@ export default Ember.Mixin.create({ let columns = [ { key: 'code' }, { key: 'name', copy: 'location' }, + { key: 'product_code' }, + { key: 'product_name_short_es', copy: 'product' }, { key: 'year' }, { key: 'import_value' }, { key: 'import_rca' }, @@ -235,6 +239,8 @@ export default Ember.Mixin.create({ { key: 'code' }, { key: 'name', copy: 'location' }, { key: 'parent_name', copy: 'parent.location' }, + { key: 'product_code' }, + { key: 'product_name_short_es', copy: 'product' }, { key: 'year' }, { key: 'export_value' }, { key: 'export_rca' }, @@ -252,6 +258,8 @@ export default Ember.Mixin.create({ { key: 'code' }, { key: 'name', copy: 'location' }, { key: 'parent_name', copy: 'parent.location' }, + { key: 'product_code' }, + { key: 'product_name_short_es', copy: 'product' }, { key: 'year' }, { key: 'import_value' }, { key: 'import_rca' }, @@ -401,6 +409,8 @@ export default Ember.Mixin.create({ { key: 'code' }, { key: 'name', copy: 'country' }, { key: 'parent', copy: 'parent.country' }, + { key: 'product_code' }, + { key: 'product_name_short_es', copy: 'product' }, { key: 'year' }, { key: 'export_value' } ]; @@ -412,6 +422,8 @@ export default Ember.Mixin.create({ { key: 'code' }, { key: 'name', copy: 'country' }, { key: 'parent', copy: 'parent.country' }, + { key: 'product_code' }, + { key: 'product_name_short_es', copy: 'product' }, { key: 'year' }, { key: 'import_value' } ]; diff --git a/app/routes/product/abstract.js b/app/routes/product/abstract.js index 22675e3b..5c9f791d 100644 --- a/app/routes/product/abstract.js +++ b/app/routes/product/abstract.js @@ -35,11 +35,17 @@ export default Ember.Route.extend({ let {model, locations, cities, partners} = hash; let locationsMetadata = this.modelFor('application').locations; let partnersMetadata = this.modelFor('application').partnerCountries; + let productsMetadata = this.modelFor('application').products; let locationsData = _.map(locations.data, (d) => { let location = locationsMetadata[d.department_id]; let department = copy(d); - return _.merge(department, location, {model: 'location'}); + return _.merge(department, location, { + model: 'location', + product_name_short_es: productsMetadata[d.product_id].name_short_es, + product_name_short_en: productsMetadata[d.product_id].name_short_en, + product_code: productsMetadata[d.product_id].code + }); }); let citiesData = _.map(cities.data, (d) => { @@ -51,6 +57,9 @@ export default Ember.Route.extend({ model: 'location', parent_name_en: locationsMetadata[location.parent_id].name_short_en, parent_name_es: locationsMetadata[location.parent_id].name_short_es, + product_name_short_es: productsMetadata[d.product_id].name_short_es, + product_name_short_en: productsMetadata[d.product_id].name_short_en, + product_code: productsMetadata[d.product_id].code } ); return result; @@ -64,7 +73,12 @@ export default Ember.Route.extend({ partner.parent_name_es = parent.name_es; partner.group = parent.id; d.model = null; - return _.merge(partner, parent, country); + return _.merge(partner, parent, country, { + model: 'location', + product_name_short_es: productsMetadata[d.product_id].name_short_es, + product_name_short_en: productsMetadata[d.product_id].name_short_en, + product_code: productsMetadata[d.product_id].code + }); }); return Ember.Object.create({ diff --git a/app/routes/product/visualization.js b/app/routes/product/visualization.js index ff73398f..cabf07b4 100644 --- a/app/routes/product/visualization.js +++ b/app/routes/product/visualization.js @@ -130,9 +130,11 @@ export default Ember.Route.extend({ let country = partnersMetadata[d.country_id]; let parent = partnersMetadata[country.parent_id]; let partner = copy(d); + partner.parent_name_en = parent.name_en; partner.parent_name_es = parent.name_es; partner.group = parent.id; + partner.color = parent.color; d.model = null; return _.merge(partner, parent, country); }); diff --git a/app/templates/components/zoomable-treemap.hbs b/app/templates/components/zoomable-treemap.hbs index 25f879d4..a9e76b1e 100644 --- a/app/templates/components/zoomable-treemap.hbs +++ b/app/templates/components/zoomable-treemap.hbs @@ -1,8 +1,8 @@
    - {{#if title }} -

    {{title}}

    + {{#if filename }} +

    {{filename}}

    {{/if}} {{#if title_filter }}

    {{title_filter}}

    @@ -44,6 +44,7 @@ {{/each}}
    +{{/if}}
    @@ -55,5 +56,4 @@
    -{{/if}} diff --git a/app/templates/location/-municipality-dotplots.hbs b/app/templates/location/-municipality-dotplots.hbs index 674735eb..f1bb4c19 100644 --- a/app/templates/location/-municipality-dotplots.hbs +++ b/app/templates/location/-municipality-dotplots.hbs @@ -96,18 +96,6 @@ -
  • - - {{t 'country.show.product_space' lastYear=lastYear}} - -
    • - -
  • - - {{t 'country.show.industry_space' lastYear=lastYear}} - -
    • -
    @@ -179,63 +167,6 @@
    -
    -
    - -
    -
    -

    ALTO NIVEL DE COMPLEJIDAD

    -
    -
    -

    BAJO NIVEL DE COMPLEJIDAD

    -
    -
    - - -
    - {{vistk-network - data=lastProductsData - immutableData=lastProductsData - elementId='product-space' - dataType='products' - metadata=model.metaData - varDependent='export_value' - graph=productSpace - height=600 - delay=3500 - showMiddle=true - filterCategory=true - title="SECTORES DE" - subtitle="LOS PRODUCTOS" - categoriesFilterList=categoriesFilterList - toolTips="complexity" - }} -
    - -
    - -
    - -
    -
    - {{vistk-network - data=lastIndustryData - immutableData=lastIndustryData - elementId='industry-space' - dataType='industries' - metadata=model.metaData - varDependent='wages' - graph=industrySpace - height=600 - delay=2000 - filterCategory=true - title="SECTORES" - subtitle="LOS PRODUCTOS" - categoriesFilterList=categoriesFilterListlastIndustryData - toolTips="complexity" - }} -
    -
    diff --git a/app/templates/location/-questions.hbs b/app/templates/location/-questions.hbs index 4cecbc9a..e3431b04 100755 --- a/app/templates/location/-questions.hbs +++ b/app/templates/location/-questions.hbs @@ -125,12 +125,12 @@ {{#if isDepartment}} -
    + {{/if}}
    diff --git a/app/templates/product/-questions.hbs b/app/templates/product/-questions.hbs index 1ead4fbb..2413f34b 100755 --- a/app/templates/product/-questions.hbs +++ b/app/templates/product/-questions.hbs @@ -13,7 +13,7 @@
    - {{#link-to 'product.visualization' model.id 'departments' 'geo' 'export_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca") + {{#link-to 'product.visualization' model.id 'departments' 'geo' 'export_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca" showBack="false") class="builder__questions__question" }} {{t 'graph_builder.page_title.product.departments.export_value'}} @@ -22,7 +22,7 @@
    - {{#link-to 'product.visualization' model.id 'cities' 'multiples' 'export_value' (query-params startDate=firstYear endDate=lastYear search='null' toolTips="rca") + {{#link-to 'product.visualization' model.id 'cities' 'multiples' 'export_value' (query-params startDate=firstYear endDate=lastYear search='null' toolTips="rca" showBack="false") class="builder__questions__question" }} {{t 'graph_builder.page_title.product.cities.export_value'}} @@ -31,7 +31,7 @@
    - {{#link-to 'product.visualization' model.id 'partners' 'treemap' 'export_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca") + {{#link-to 'product.visualization' model.id 'partners' 'treemap' 'export_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca" showBack="false") class="builder__questions__question" }} {{t 'graph_builder.page_title.product.partners.export_value'}} @@ -45,7 +45,7 @@
    - {{#link-to 'product.visualization' model.id 'departments' 'geo' 'import_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca") + {{#link-to 'product.visualization' model.id 'departments' 'geo' 'import_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca" showBack="false") class="builder__questions__question" }} {{t 'graph_builder.page_title.product.departments.import_value'}} @@ -54,7 +54,7 @@
    - {{#link-to 'product.visualization' model.id 'cities' 'multiples' 'import_value' (query-params startDate=firstYear endDate=lastYear search='null' toolTips="rca") + {{#link-to 'product.visualization' model.id 'cities' 'multiples' 'import_value' (query-params startDate=firstYear endDate=lastYear search='null' toolTips="rca" showBack="false") class="builder__questions__question" }} {{t 'graph_builder.page_title.product.cities.import_value'}} @@ -63,7 +63,7 @@
    - {{#link-to 'product.visualization' model.id 'partners' 'treemap' 'import_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca") + {{#link-to 'product.visualization' model.id 'partners' 'treemap' 'import_value' (query-params startDate=lastYear endDate=lastYear search='null' toolTips="rca" showBack="false") class="builder__questions__question" }} {{t 'graph_builder.page_title.product.partners.import_value'}} diff --git a/app/templates/product/abstract.hbs b/app/templates/product/abstract.hbs index c1d8d4df..e5b96ab5 100644 --- a/app/templates/product/abstract.hbs +++ b/app/templates/product/abstract.hbs @@ -16,7 +16,6 @@ {{#each year in rangeYears }} - {{/each}} @@ -60,7 +59,7 @@
    - {{#link-to 'product.visualization' modelData.id 'departments' 'geo' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + {{#link-to 'product.visualization' modelData.id 'departments' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca" showBack="true") class="btn btn-outline-secondary" }} @@ -90,7 +89,7 @@
    - {{#link-to 'product.visualization' modelData.id 'cities' 'multiples' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + {{#link-to 'product.visualization' modelData.id 'cities' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca" showBack="true") class="btn btn-outline-secondary" }} @@ -120,7 +119,7 @@
    - {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'export_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca" showBack="true") class="btn btn-outline-secondary" }} @@ -154,7 +153,7 @@
    - {{#link-to 'product.visualization' modelData.id 'departments' 'geo' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + {{#link-to 'product.visualization' modelData.id 'departments' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca" showBack="true") class="btn btn-outline-secondary" }} @@ -184,7 +183,7 @@
    - {{#link-to 'product.visualization' modelData.id 'cities' 'multiples' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + {{#link-to 'product.visualization' modelData.id 'cities' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca" showBack="true") class="btn btn-outline-secondary" }} @@ -214,7 +213,7 @@
    - {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca") + {{#link-to 'product.visualization' modelData.id 'partners' 'treemap' 'import_value' (query-params startDate=startDate endDate=startDate search='null' toolTips="rca" showBack="true") class="btn btn-outline-secondary" }} diff --git a/app/templates/visualization.hbs b/app/templates/visualization.hbs index 40d2ed6c..e397a392 100755 --- a/app/templates/visualization.hbs +++ b/app/templates/visualization.hbs @@ -124,6 +124,7 @@
    + {{component visualizationComponent classNames='buildermod__viz' immutableData=immutableData @@ -149,7 +150,7 @@ filterCategory=canFilterCategory resetFilter=resetFilter canFilterVcr=canFilterVcr - title=(is-concat endDate ' - ' variableTitle ' - ' model.entity.name ' (' model.entity.code ')') + filename=(is-concat endDate ' - ' variableTitle ' - ' model.entity.name ' (' model.entity.code ')') groupByParent=groupByParent }}
    @@ -219,27 +220,29 @@
    {{#if (is-equal entityType "product")}} + {{#if (is-equal showBack "true")}} - {{#if (is-equal variable "export_value")}} -
    -
    - {{#link-to 'product.abstract' model.entity.id class="btn btn-outline-secondary"}} - ANTERIOR - {{/link-to}} + {{#if (is-equal variable "export_value")}} +
    +
    + {{#link-to 'product.abstract' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    -
    - {{/if}} - - {{#if (is-equal variable "import_value")}} -
    -
    - {{#link-to 'product.abstract' model.entity.id class="btn btn-outline-secondary"}} - ANTERIOR - {{/link-to}} + {{/if}} + + {{#if (is-equal variable "import_value")}} +
    +
    + {{#link-to 'product.abstract' model.entity.id class="btn btn-outline-secondary"}} + ANTERIOR + {{/link-to}} +
    -
    - {{/if}} + {{/if}} + {{/if}} {{/if}} From ca01d7b63c31f7b418cc0177aa6363217133ac4e Mon Sep 17 00:00:00 2001 From: Diego Fonseca Date: Tue, 5 Oct 2021 14:40:40 -0500 Subject: [PATCH 053/126] Release 0.18.3 --- app/components/datlas-table.js | 4 +- app/controllers/location/ruralactivities.js | 269 +++++++++++++++--- app/controllers/location/thirdparty.js | 2 +- app/controllers/visualization.js | 2 +- app/locales/es-col/translations.js | 5 +- app/routes/location/ruralactivities.js | 9 + app/templates/location/-questions.hbs | 49 ++-- .../location/-regional-location-rural.hbs | 122 ++++---- app/templates/location/complexsectors.hbs | 2 +- app/templates/location/thirdparty.hbs | 2 +- app/templates/visualization.hbs | 202 ++++++++----- 11 files changed, 460 insertions(+), 208 deletions(-) diff --git a/app/components/datlas-table.js b/app/components/datlas-table.js index b613b5d8..c0c4127d 100644 --- a/app/components/datlas-table.js +++ b/app/components/datlas-table.js @@ -265,7 +265,7 @@ export default Ember.Component.extend(TableMap, { "fillHorizontal": "Rellenar celdas horizontalmente", "fillVertical": "Rellenar celdas verticalmentemente" }, - "decimal": ".", + "decimal": ",", "searchBuilder": { "add": "Añadir condición", "button": { @@ -353,7 +353,7 @@ export default Ember.Component.extend(TableMap, { "_": "%d filas seleccionadas" } }, - "thousands": ",", + "thousands": ".", "datetime": { "previous": "Anterior", "next": "Proximo", diff --git a/app/controllers/location/ruralactivities.js b/app/controllers/location/ruralactivities.js index a0e6ce65..79cd2a3f 100644 --- a/app/controllers/location/ruralactivities.js +++ b/app/controllers/location/ruralactivities.js @@ -1,14 +1,12 @@ import Ember from 'ember'; import numeral from 'numeral'; -const {computed, get:get} = Ember; +const {computed, get:get, observer} = Ember; export default Ember.Controller.extend({ i18n: Ember.inject.service(), featureToggle: Ember.inject.service(), - queryParams: ['year'], + queryParams: ['startDate', 'endDate', 'ruralOption'], - startDate: null, - startDateTable: null, classNone: "", tableClassNone: "", endDate: null, @@ -16,10 +14,19 @@ export default Ember.Controller.extend({ showMultiples: false, showTable: false, canFilterCategory: false, - source: "landUses", - variable: "area", - vizualization: "treemap", - Title: "Área total", + source: null, + variable: null, + vizualization: null, + Title: null, + updatedDate: null, + + observerRuralOption: observer('updatedDate', function(){ + var rural_option = this.get('ruralOption'); + this.send("selectSourceId", String(rural_option)); + Ember.run.schedule("afterRender",this,function() { + $("#selectType").val(String(rural_option)); + }); + }), firstYear: computed('featureToggle.census_year', function () { return this.get("featureToggle.year_ranges.agcensus.first_year"); @@ -51,7 +58,7 @@ export default Ember.Controller.extend({ productsData: computed.oneWay('model.productsData'), inmutableProductsData: computed.oneWay('model.productsData'), industriesData: computed.oneWay('model.industriesData'), - filteredData: computed('model.[]', 'startDate', 'source', function(){ + filteredData: computed('model.[]', 'endDate', 'source', function(){ var source = this.get("source") var data = [] @@ -67,103 +74,112 @@ export default Ember.Controller.extend({ } else if(source === "livestock"){ data = this.get("model.livestockData"); } - return data.filter(item => item.year >= this.get("startDate") && item.year <= this.get("endDate")); + return data.filter(item => item.year >= parseInt(this.get("startDate")) && item.year <= parseInt(this.get("endDate"))); }), - filteredDataLandUsesTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataLandUsesTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.landusesData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.area;}), 0, 5); return sorted }), - filteredDataLandUsesTop5Order: computed('model', 'startDateTable', function (){ + filteredDataLandUsesTop5Order: computed('model', 'endDate', function (){ return [[ 3, "desc" ]]; }), - filteredDataFarmTypesTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataFarmTypesTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.farmtypesData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_farms;}), 0, 5); return sorted }), - filteredDataFarmTypesTop5Order: computed('model', 'startDateTable', function (){ + filteredDataFarmTypesTop5Order: computed('model', 'endDate', function (){ return [[ 1, "desc" ]]; }), - filteredDataLandSownTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataLandSownTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.agproductsData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.land_sown;}), 0, 5); return sorted }), - filteredDataLandSownTop5Order: computed('model', 'startDateTable', function (){ + filteredDataLandSownTop5Order: computed('model', 'endDate', function (){ return [[ 2, "desc" ]]; }), - filteredDataLandHarvestedTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataLandHarvestedTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.agproductsData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.land_harvested;}), 0, 5); return sorted }), - filteredDataLandHarvestedTop5Order: computed('model', 'startDateTable', function (){ + filteredDataLandHarvestedTop5Order: computed('model', 'endDate', function (){ return [[ 3, "desc" ]]; }), - filteredDataProductionTonsTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataProductionTonsTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.agproductsData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.production_tons;}), 0, 5); return sorted }), - filteredDataProductionTonsTop5Order: computed('model', 'startDateTable', function (){ + filteredDataProductionTonsTop5Order: computed('model', 'endDate', function (){ return [[ 4, "desc" ]]; }), - filteredDataYieldRatioTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataYieldRatioTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.agproductsData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.yield_ratio;}), 0, 5); return sorted }), - filteredDataYieldRatioTop5Order: computed('model', 'startDateTable', function (){ + filteredDataYieldRatioTop5Order: computed('model', 'endDate', function (){ return [[ 5, "desc" ]]; }), - filteredDataNonagsNumFarmsTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataNonagsNumFarmsTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.nonagsData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_farms;}), 0, 5); return sorted }), - filteredDataNonagsNumFarmsTop5Order: computed('model', 'startDateTable', function (){ + filteredDataNonagsNumFarmsTop5Order: computed('model', 'endDate', function (){ return [[ 1, "desc" ]]; }), - filteredDataLiveStockNumTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataLiveStockNumTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.livestockData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_livestock;}), 0, 5); return sorted }), - filteredDataLiveStockNumTop5Order: computed('model', 'startDateTable', function (){ + filteredDataLiveStockNumTop5Order: computed('model', 'endDate', function (){ return [[ 2, "desc" ]]; }), - filteredDataLiveStockNumFarmsTop5: computed('model.[]', 'startDateTable', function(){ + filteredDataLiveStockNumFarmsTop5: computed('model.[]', 'endDate', function(){ + var endDate = parseInt(this.get("endDate")) var data = this.get("model.livestockData"); - var dataFiltered = data.filter(item => item.year === this.get("startDateTable")); + var dataFiltered = data.filter(item => item.year === endDate); var sorted = _.slice(_.sortBy(dataFiltered, function(d) { return -d.num_farms;}), 0, 5); return sorted }), - filteredDataLiveStockNumFarmsTop5Order: computed('model', 'startDateTable', function (){ + filteredDataLiveStockNumFarmsTop5Order: computed('model', 'endDate', function (){ return [[ 1, "desc" ]]; }), @@ -216,7 +232,7 @@ export default Ember.Controller.extend({ }), rangeYearsTable: computed('firstYearTable', 'lastYearTable', function(){ - this.set('startDateTable', this.get("lastYearTable")) + //this.set('startDateTable', this.get("lastYearTable")) var min = this.get("firstYearTable") var max = this.get("lastYearTable") @@ -319,8 +335,8 @@ export default Ember.Controller.extend({ var year = parseInt($("#selectYearTable").val()) - this.set('startDateTable', year) - this.set('endDateTable', year) + this.set('startDate', year) + this.set('endDate', year) }, selectSource(){ var value = $("#selectType").val(); @@ -338,6 +354,8 @@ export default Ember.Controller.extend({ this.set("showTable", false); this.set("classNone", ""); this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-graphic-tab").trigger("click"); } else if(value === "2"){ this.set("source", "farmtypes"); @@ -352,6 +370,8 @@ export default Ember.Controller.extend({ this.set("showTable", false); this.set("classNone", ""); this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-graphic-tab").trigger("click"); } else if(value === "3"){ this.set("source", "agproducts"); @@ -366,6 +386,8 @@ export default Ember.Controller.extend({ this.set("showTable", false); this.set("classNone", ""); this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-graphic-tab").trigger("click"); } else if(value === "4"){ this.set("source", "agproducts"); @@ -380,6 +402,8 @@ export default Ember.Controller.extend({ this.set("showTable", false); this.set("classNone", ""); this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-graphic-tab").trigger("click"); } else if(value === "5"){ this.set("source", "agproducts"); @@ -394,6 +418,8 @@ export default Ember.Controller.extend({ this.set("showTable", false); this.set("classNone", ""); this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-graphic-tab").trigger("click"); } else if(value === "6"){ this.set("source", "agproducts"); @@ -408,6 +434,8 @@ export default Ember.Controller.extend({ this.set("showTable", false); this.set("classNone", "d-none"); this.set("tableClassNone", ""); + this.set('startDate', this.get("firstYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-graphic-tab").trigger("click"); } else if(value === "7"){ this.set("source", "nonags"); @@ -422,6 +450,8 @@ export default Ember.Controller.extend({ this.set("showTable", true); this.set("classNone", "d-none"); this.set("tableClassNone", "d-none"); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-table-tab").trigger("click"); } else if(value === "8"){ this.set("source", "livestock"); @@ -436,6 +466,8 @@ export default Ember.Controller.extend({ this.set("showTable", true); this.set("classNone", "d-none"); this.set("tableClassNone", "d-none"); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-table-tab").trigger("click"); } else if(value === "9"){ this.set("source", "livestock"); @@ -450,10 +482,165 @@ export default Ember.Controller.extend({ this.set("showTable", true); this.set("classNone", "d-none"); this.set("tableClassNone", "d-none"); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) //$("#pills-table-tab").trigger("click"); } - $("#selectYear").val(this.get("startDate")); + this.set("ruralOption", parseInt(value)) + + $("#selectYear").val(this.get("endDate")); + + }, + selectSourceId(value){ + + value = String(value); + + if(value === "1"){ + this.set("source", "landUses"); + this.set("variable", "area"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Área total:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "2"){ + this.set("source", "farmtypes"); + this.set("variable", "num_farms"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "UPAS y UPNAS:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "3"){ + this.set("source", "agproducts"); + this.set("variable", "land_sown"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Área sembrada (hectáreas):"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "4"){ + this.set("source", "agproducts"); + this.set("variable", "land_harvested"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Área cosechada (hectáreas):"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true) + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "5"){ + this.set("source", "agproducts"); + this.set("variable", "production_tons"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Producción (toneladas):"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", true); + this.set("showGrap", true); + this.set("showMultiples", false); + this.set("showTable", false); + this.set("classNone", ""); + this.set("tableClassNone", ""); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "6"){ + this.set("source", "agproducts"); + this.set("variable", "yield_ratio"); + this.set("firstYear", this.get("featureToggle.year_ranges.agproduct.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agproduct.last_year")); + this.set("Title", "Rendimiento"); + this.set("vizualization", "multiples"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", true); + this.set("showTable", false); + this.set("classNone", "d-none"); + this.set("tableClassNone", ""); + this.set('startDate', this.get("firstYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-graphic-tab").trigger("click"); + } else if(value === "7"){ + this.set("source", "nonags"); + this.set("variable", "num_farms"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Numero unidades de producción:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", false); + this.set("showTable", true); + this.set("classNone", "d-none"); + this.set("tableClassNone", "d-none"); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-table-tab").trigger("click"); + } else if(value === "8"){ + this.set("source", "livestock"); + this.set("variable", "num_livestock"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Número de animales:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", false); + this.set("showTable", true); + this.set("classNone", "d-none"); + this.set("tableClassNone", "d-none"); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-table-tab").trigger("click"); + } else if(value === "9"){ + this.set("source", "livestock"); + this.set("variable", "num_farms"); + this.set("firstYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("lastYear", this.get("featureToggle.year_ranges.agcensus.first_year")); + this.set("Title", "Numero unidades de producción:"); + this.set("vizualization", "treemap"); + this.set("canFilterCategory", false); + this.set("showGrap", false); + this.set("showMultiples", false); + this.set("showTable", true); + this.set("classNone", "d-none"); + this.set("tableClassNone", "d-none"); + this.set('startDate', this.get("lastYear")) + this.set('endDate', this.get("lastYear")) + //$("#pills-table-tab").trigger("click"); + } } } diff --git a/app/controllers/location/thirdparty.js b/app/controllers/location/thirdparty.js index 8da08346..5671cc00 100644 --- a/app/controllers/location/thirdparty.js +++ b/app/controllers/location/thirdparty.js @@ -17,7 +17,7 @@ export default Ember.Controller.extend({ linkDatlas: computed('startDate', function () { var startDate = this.get("startDate"); - return `https://atlas.cid.harvard.edu/explore?country=49&year=${startDate}` + return `https://atlas.cid.harvard.edu/explore/network?country=49&year=${startDate}&productClass=HS` }), diff --git a/app/controllers/visualization.js b/app/controllers/visualization.js index ed065054..fc9ba6ad 100644 --- a/app/controllers/visualization.js +++ b/app/controllers/visualization.js @@ -647,7 +647,7 @@ export default Ember.Controller.extend({ addColorYears: computed("source", function () { var source = this.get("source"); - if(["partners"].includes(source)){ + if(["partners", "industries", "products", "agproducts", "farmtypes"].includes(source)){ return false; } return true; diff --git a/app/locales/es-col/translations.js b/app/locales/es-col/translations.js index 69ea0c47..5b34a1d0 100644 --- a/app/locales/es-col/translations.js +++ b/app/locales/es-col/translations.js @@ -516,7 +516,7 @@ export default { "header.product_space": "Mapa de los productos", "header.production_tons": "Producci\u00f3n", "header.region": "Por departamento", - "header.rural": "Preguntas: Actividades Rurales", + "header.rural": "Actividades Rurales", "header.subregion": "Por ciudad", "header.subsubregion": "Por municipio", "header.wage": "N\u00f3mina total", @@ -795,6 +795,9 @@ export default { "modal.visualization.p4.municipalities": "para diligenciar un término de búsqueda en este caso puede ser por departamento, ciudad o código DANE, esto hará que el componente y su información varíe dependiendo del término buscado.", "modal.visualization.p4.partners": "para diligenciar un término de búsqueda en este caso puede ser por nombre del país y/o región, esto hará que el componente y su información varíe dependiendo del término buscado.", "modal.visualization.p4.products": "para diligenciar un término de búsqueda en este caso puede ser por nombre de producto o partida arancelaria, esto hará que el componente y su información varíe dependiendo del término buscado.", + "modal.visualization.p4.agproducts": "para diligenciar un término de búsqueda en este caso puede ser por nombre de producto agropecuario, esto hará que el componente y su información varíe dependiendo del término buscado.", + "modal.visualization.p4.landUses": "para diligenciar un término de búsqueda en este caso puede ser por nombre del uso de suelo, esto hará que el componente y su información varíe dependiendo del término buscado.", + "modal.visualization.p4.farmtypes": "para diligenciar un término de búsqueda en este caso puede ser por tipo de producción rural, esto hará que el componente y su información varíe dependiendo del término buscado.", "departments": "Departamentos", "cities": "Ciudades", diff --git a/app/routes/location/ruralactivities.js b/app/routes/location/ruralactivities.js index 5685d708..be5d5752 100644 --- a/app/routes/location/ruralactivities.js +++ b/app/routes/location/ruralactivities.js @@ -19,6 +19,12 @@ export default Ember.Route.extend({ agcensusFirstYear: computed.alias('featureToggle.year_ranges.agcensus.first_year'), agcensusLastYear: computed.alias('featureToggle.year_ranges.agcensus.last_year'), + queryParams: { + startDate: { refreshModel: false }, + endDate: { refreshModel: false }, + ruralOption: { refreshModel: false } + }, + model: function(params) { return this.store.find('location', params.location_id); }, @@ -345,6 +351,9 @@ export default Ember.Route.extend({ }); }, setupController(controller, model) { + controller.setProperties({ + updatedDate: new Date(), + }); this._super(controller, model); this.controllerFor('application').set('entity', model.get('constructor.modelName')); this.controllerFor('application').set('entity_id', model.get('id')); diff --git a/app/templates/location/-questions.hbs b/app/templates/location/-questions.hbs index e3431b04..f22fd2bf 100755 --- a/app/templates/location/-questions.hbs +++ b/app/templates/location/-questions.hbs @@ -15,7 +15,7 @@
    - {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear search=null) + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'employment' (query-params endDate=lastYear startDate=lastYear search=null showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.industries.employment.' model.level)}} {{/link-to}} @@ -23,7 +23,7 @@
    - {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params endDate=lastYear startDate=lastYear search=null) + {{#link-to 'location.visualization' model.id 'industries' 'treemap' 'wages' (query-params endDate=lastYear startDate=lastYear search=null showBack="false") class="builder__questions__question" }} {{t (is-concat 'graph_builder.page_title.location.industries.wages.' model.level)}} {{/link-to}} @@ -32,7 +32,7 @@ {{#unless isMunicipality}}
    - {{#link-to 'location.visualization' model.id 'industries' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear) + {{#link-to 'location.visualization' model.id 'industries' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.industries.similarity.' model.level)}} {{/link-to}} @@ -42,7 +42,7 @@
    - {{#link-to 'location.visualization' model.id 'industries' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null') + {{#link-to 'location.visualization' model.id 'industries' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null' showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.industries.scatter.' model.level)}} {{/link-to}} @@ -61,7 +61,7 @@
    - {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.products.export_value.' model.level)}} {{/link-to}} @@ -70,32 +70,33 @@
    - {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear) + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'export_value' (query-params search='null' startDate=lastYear endDate=lastYear showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.partners.export_value.' model.level) }} {{/link-to}}
    - + {{#unless isMunicipality}}
    - {{#link-to 'location.visualization' model.id 'products' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear search='null') + {{#link-to 'location.visualization' model.id 'products' 'similarity' 'rca' (query-params endDate=lastYear startDate=lastYear search='null' showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.products.similarity.' model.level)}} {{/link-to}}
    - {{#link-to 'location.visualization' model.id 'products' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null') + {{#link-to 'location.visualization' model.id 'products' 'scatter' 'opportunity' (query-params endDate=lastYear startDate=lastYear search='null' showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.products.scatter.' model.level)}} {{/link-to}} @@ -110,7 +111,7 @@
    - {{#link-to 'location.visualization' model.id 'products' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) + {{#link-to 'location.visualization' model.id 'products' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.products.import_value.' model.level)}} {{/link-to}} @@ -118,7 +119,7 @@
    - {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear) + {{#link-to 'location.visualization' model.id 'partners' 'treemap' 'import_value' (query-params search='null' startDate=lastYear endDate=lastYear showBack="false") class="builder__questions__question"}} {{t (is-concat 'graph_builder.page_title.location.partners.import_value.' model.level)}} {{/link-to}} @@ -126,7 +127,7 @@ {{#if isDepartment}} +
    diff --git a/app/templates/location/-regional-location-rural.hbs b/app/templates/location/-regional-location-rural.hbs index d72b1fba..2e9fbf0e 100644 --- a/app/templates/location/-regional-location-rural.hbs +++ b/app/templates/location/-regional-location-rural.hbs @@ -1,12 +1,13 @@
    +

    {{ruralOptionValue}}

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