AltAir Visualisation

[chiragnaik7000]

I need some insights and help with this :

Background
(All the people, places, groups, technologies, contained therein are fictitious.)
Mistford is a mid-size city to the southwest of the Boonsong Lekagul Wildlife Preserve. The city has a small industrial area with four light-manufacturing endeavors.
Mistford and the wildlife preserve are struggling with the possible endangerment of the Rose- Crested Blue Pipit, a locally loved bird.
The birdʼs nesting pairs seem to have decreased alarmingly

 Background

An investigation last year (VAST challenge 2017) indicated that the Kasios Office Furniture, a Mistford manufacturing firm, may be linked to this
Though there is no firm evidence.
Now the company insists that they have done nothing wrong. It is time for more visual analytics investigation.

Dataset
Several years of water sensor readings from rivers and streams in the preserve.
These samples were taken from different locations scattered throughout the area
Contain measurements of several chemicals of possible interest
Your task is to investigate the sensor readings to find possible link to the bird population deduction.

Analysis questions:

1. Describe trends and anomalies with respect to chemical contamination i. Trends: changes over time and/or sensor site
   ii. Anomalies: sudden change over time or one site significantly different from others. 2. Describe any data quality and uncertain issues, such as
   i. missing data,
   ii. change in collection frequency, and
   iii. unrealistic values (e.g. water temperature higher than 100 degrees).

Use Altair to create visualisations
You must use Altair to create the visualisations;
Tableau or other visualisation library is not allowed.
You are free to apply any pre-processing and/or non-visual analysis to help answer these questions.
These can be done in a separate tool such as Excel/R/Jupyter Or using Python

Requirements
There should be at least one visualisation for each analysis question.
Usually, 2-3 visualisations (including dashboard) is expected for each questions: For example, one for trend and one for anomaly for Q1;
There can be more than one trend or anomaly;

Requirements
Besides the visualisations, the answer to each question should include discussion:
What the finding is (a pattern, an anomaly, etc.);
How the finding can be seen from the visualisation;
How the visualisation design support the analysis, i.e. what the data and analysis task are and how the visualisation is designed to match and support them.
Any advanced Altair visualisation features used, such as multi-layer, chart concatenation, and interaction.
Any additional (non-visual) analysis used and how it contributed to the answer.

Boonsong Lekagul waterways readings.csv

The quality of the findings, i.e., how insightful is the finding :
What is the finding, i.e., what message the visualisation aims to convey;
Insightful finding receives higher mark:
for example, findings that considers multiple aspects of the data, such as time, location, and measurements is more interesting than those with less aspects;
Visualisation that clearly shows the intended finding receives higher mark.

The effectiveness of the visualisation design ():
Why such visual mapping is effective for the given data (what) and analysis (why), e.g.,
Why is the chart type most appropriate for the analysis? Why are the choice of mark and channel the most effective?
Is there any additional feature, such as sorting/filtering, dashboard or interactions, is used to improve the visualisation?

The quality of the visualisation and analysis code :
The quality of Altair code;
Usage of advanced features (which contribute to the analysis) such as multiple views/dashboard and
interaction receives
Usage of additional analysis
such as statistical analysis that
contributes to the analysis