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PyTravel: Go, Find, Explore

Pexels01 Photo by Andrew Neel from Pexels


Welcome to PyTravel, the FinTech-Powered Travel Agency

PyTravel's main objectives are:

  • Analyze tourism data to report trends to the marketing team

  • Provide clients with flight and hotel options for their next trip

  • Provide up-to-date information on COVID-19 travel restrictions

You will find three directories that address each of these objectives if you follow the path:

resources/exploration_cleanup_notebooks/


Contents

Here's a breakdown of the solutions we provide.

Tourism Analysis

  • What has been the trend of international travel?

International Travel Number of Arrivals From 1995 - 2019

  • Where in the world do tourists travel the most? Continent?

Most Travelled to Continents From 1995 - 2019

Progression of Travel From 1995 - 2019

  • Which countries did the most tourists travel to between the years 1995 - 2019?

Top 10 Travel Countries From 1995 - 2019

  • How does 2020 travel compare to travel in 2019 and thus far in 2021? TSA Travel 2019-2021

COVID-19 Restrictions

  • How has COVID-19 affected international travel from the United States?
  • What are some of the travel restrictions that have been implemented due to COVID-19? United States International Travel Restrictions

Trip Planner

The Trip Planner Notebook generates two text files for flight and hotel quotes, and a client-focused dashboard.

Flight Search with SkyScanner API

What are the flight options available for the client's intended destination?

  • A text file named flights_output.txt with detailed flight quote(s) information
  • A bar plot with price for any and all quotes retrieved by the API

flights

Hotel Search with Booking com API

What is the hotel availability in the destination of interest?

  • A scatter plot map with the number of hotels in a given city

hotel locations

What are some of the hotel options? How do these compare to each other in price and quality?

  • A text file named hotels_output.txt with detailed information for 20 hotels in the area
  • A scatter plot of pricing vs. review scores for hotels in the location of choice

hotel pricing

Folium Library

How can we compare hotel locations with other points of reference?

  • An interactive map with location, price and review score data for 20 hotels

hotels map


Miami FinTech Bootcamp 2021-2022

Monique Ferguson, Frank Lau and Marcela Castaño

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