PyBer leadership has asked for analysis reviewing rade data to help improve access to ride-sharing services and determine affordability in underserved neighboorhoods.

PyBer Summary Data based on City Type:

Key findings:

1. Large proportion of rides come in Urban city types; these are also the lowest average fare.
   
2. Urban cities have more drivers than riders, indicating that driver supply may be too high relative to rider demand.
   
3. Rural riders generate the highest fares, potentially indicating longer fares.
   

1. Incentivize new rural drivers or existing drivers taking more trips to meet excess demand
   
2. PyBer could work to generate more demand in support of of the excess driver capacity in Urban cities.
   
3. Oversupply of urban drivers indicates inefficiency - excess drivers should consider Suburban routes to increase productivity. PyBer could work to generate more demand in support of of the excess capacity.