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A team project where we used Python to analyze global cost of living using various metrics

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Reed-Carter/Global-Cost-of-Living

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Global Cost of Living

By Reed Carter, Chloe Le, Phil Kendall

Visualizations of the cost of living around the globe

Technologies Used

  • github
  • python
  • pandas
  • jupyterlab
  • matplotlib
  • geopandas
  • pycountry
  • mapclassify
  • folium

Description

The main.py file contains numerous lines of code which display various images which indicate the different cost of living across the world. This information can be used to determine the cost of living across the world. A complete repository can be found here: https://github.com/Reed-Carter/Global-Cost-of-Living

world gas price

Setup/Installation Requirements

  • Clone this repository to your desktop
  • Navigate to the top level directory
  • Run 'pip install -r requirements.txt' to install all the requirements so that main.py can run correctly
  • Open main.py

Known Bugs

  • no known bugs

License

MIT License

Copyright (c) [2022] [Reed Carter, Chloe Le, Phil Kendall]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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A team project where we used Python to analyze global cost of living using various metrics

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