How different scooter companies hit the streets of Paris
This project is an analysis of the scooter ecosystem in Paris in March and early April 2019.
Project is created with Python - version: 3.8.2.
Python libraries:
- pandas - version 1.1.1
- numpy - version 1.19.1
- geopandas - version 0.6.1
- descartes - version 1.1.0
- matplotlib - version 3.3.1
- seaborn - version 0.10.1
The input data consists of:
- a flat file (data-rides.csv, size of 744 MB) was not uploaded to GitHub
- four geospatial files used for data enrichment (arrondissements.dbf, arrondissements.prj, arrondissements.shp, arrondissements.shx)
The output data:
- modeling-scooter-rides-in-paris.ipynb (Jupyter Notebook)
Scooter fleet
Daily rides per company
Haversine formula for distance approximation
Daily fleet utilization - April 8, 2019
Hourly fleet utilization - April 8, 2019
Arrondissements in Paris
Louvre
Point in polygon
Where to deploy scooters in
This project is finished.