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Analyze and create visualizations for Pyber ride sharing company.

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PyBer Analysis

Analyze and create visualizations for Pyber ride sharing company.

Overview of Analysis

CEO of PyBer Ride Sharing, V. Isualize, requested a presentation to determine the differences between the different city types the company services (Urban, Suburban, and Rural). The purpose of this analysis will be to provide a summary of the findings, supported by visualizations.

Results of Analysis

Each metric for comparison between city types will be outlined in the sections below.

Total Rides

There have been 2,775 rides for PyBer in 2019. The allocation of these rides by city type is represented below.

Ride_Data

Total Drivers

There are 2,973 drivers for PyBer. The allocation of the drivers by city type is represented below.

Total Drivers

Total Fares

Total Fares

Average Fare per Ride & Average Fare per Driver

The image below shows the Average Fares per Ride and Driver by city type.

Average Fares

As you can see, both the average fare per ride and per driver increase as population decreases.

Total Fares for Jan-Apr 2019

Total Fares Over Time

Summary of Analysis

As indicated by the results of the analysis above, the total fares for the Rural and Suburban markets are considerably lower than in the Urban markets. Here are a few recommendations to increase revenue.

  • Decrease the cost of rides in the Suburban and Rural markets to encourage more consumers to use the PyBer service.
  • Increase the amount of drivers in the Suburban and Rural markets to reduce wait time. This should also increase the amount of rides in these markets.
  • Increase the cost of rides in the Urban market. The total rides in the Urban market is considerably larger than in the other markets and a small increase in the cost per ride could pay huge dividends!

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