- Analyzes a ride sharing company's recordset of historic rides and active drivers
- Python
- Modules
- os
- pandas
- numpy
- matplotlib
- Jupyter Notebook
- Clone the Pyber-Ride-Sharing repository to your local computer.
- View the files in Jupyter Notebook or an editor with a Jupyter Notebook extension.
- reads csv files with data
- builds a bubble plot to show the relationship among city type (urban, suburban, rural), total number of drivers per city, total number of rides per city and the average fare per city
- builds pie charts to show the percent of total fares by city type, percent of total rides by city type, and the percent of total drivers by city type
- reports findings
- Maria Wong
If you have any questions or comments, feel free to message me on LinkedIn.