The purpose of the analysis is to help PyBer makers make better decisions like improving access to ride sharing servers and determine affordability for under served neighbourhood. The analysis will showcase the relationship between the type of the city (rural, suburban and urban) with the number of drivers and rides.
The key differences between different types of cities:
- The urban cities had the highest number of Total number with 1,625 rides followed by suburban cities with 625 rides in the second place and last the rural cities with 125 rides.
- The urban cities had the highest number of Total Drivers with 2,405 followed by suburban cities with 490 drivers in the second place and the rural cities with 78 the lowest number of total drivers.
- The urban cities had the highest total fares with $49,854 and then the suburban with $19,356 and the lowest for the rural with only $4,327.
- The urban cities had the lowest average fare ride and the rural cities had the highest average fare ride because the the rural cities had the lowest number of drivers and rides.
- The average fare per driver was the highest in the rural cities and lowest in the urban cities where more number of drivers and rides.
- The line graph (PyBer_fare_summary.png) shows that through the months from January to April the total fare by city type was the highest in the urban areas followed by the Suburban and the lowest in the rural cities.
- Increasing the total number of total drivers in the suburbs and urban cities will help increase the total rides.
- Decreasing the average the fare ride in the rural and suburban cities will help increase affordability and increase the total rides.
- Decreasing the average fare driver Will also help increase affordability and will increase the total rides in the rural and suburban cities.