/matplotlib-challenge

Using Python matplotlib library with an access of company's complete recordset of rides, I have built a Bubble Plot & Pie charts that showcases various relationships between key variables.

Primary LanguageJupyter Notebook

matplotlib-challenge

Here is my analysis based on the company's complete recordset of rides.

Bubble plot showcasing relationship between 4 key variables

Image of Bubble Ride share

Pie Chart showcasing % of Total Fares by City Type

Image of Pie City types

Pie Chart showcasing % of Total Rides by City Type

Image of Pie City types

Pie Chart showcasing % of Total Drivers by City Type

Image of Pie City types

Based on the plots, here are my key observations:

1. Urban areas has highest percentage of total fares, total rides & total fares than Rural & Suburban area types. 
2. The average fare for Rural area is higher than Urban & Suburban area types.
3. Urban area has most number of rides per city & lowest average fare.