Have you ever wondered where to find an electric Vélib’ in Paris ? Or which stations are always full — or always empty ? In this project, we analyze bike-sharing data from Paris to identify usage patterns, availability trends, and station performance. With Python and data visualization tools, we turn numbers into insights to better understand urban mobility.
- To observe the dynamics of Velib in Paris.
- Why ? : It is one of the most ecological transport in paris.
- To make some conclusions on our analysis:
- Which stations are the most crowded, at which time of the day...
- To understand how Velib's are used throughout the day
Follow these steps :
- Step 1 : Download as zip by clicking on the green button "code" our repository
- Step 2 : open the folder with your IDE (VScode, spyder, etc...)
- Step 3 : We advise you to download the extension Live Server, which will allow you to launch the website locally on your computer
- Step 4 : Once done, you just have to launch the local host by using on VScode the command "command + maj + p" and select "Live server : Open with Live Server"
- Enthoven Gabriel : Software Developer
- Montacer Yanis : Full Stack Developer
- Gaslain Gabriel : Data Analyst