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README.md

graphPaname

graphPaname is a system that collects real-time data, relevant to the COVID-19 pandemic de-escalation, from the city of Paris.

It works with 4 datasets about the de-escalation:

  • Retailers with home delivery
  • Additional parking places in relay parkings (parkings connected to public transportation)
  • Temporary cycling paths
  • Temporary pedestrian streets

For each dataset, we offer a table with the data, and a map of Paris with markers. Additionally, there's a section with photos related to the COVID-19 pandemic.

Technologies

  • Flask
  • Pandas
  • Folium

Data sources

Requirements

  • Nix

Installation

  1. Install Nix (compatible with MacOS and Linux):
curl -L https://nixos.org/nix/install | sh

There are alternative installation methods, if you don't want to pipe curl to sh

  1. Clone the repository:
git clone https://coolneng.duckdns.org/gitea/coolneng/graphPaname
  1. Change the working directory to the project:
cd graphPaname
  1. Enter the nix-shell:
nix-shell
  1. Run the tests:
pytest
  1. Execute the Flask application:
flask run

The website can be accessed via localhost:5000