In this project, I will explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. Using Python, I will write a code import the data and answer interesting questions about it by computing descriptive statistics. I will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
The datasets provided by Motivate, a bike share system provider in the US, contains randomly selected data for the first six months of 2017 for all three cities. The data files for all three cities contain the same core six columns:
- Start Time
- End Time
- Trip Duration
- Start Station
- End Station
- User Type
The Chicago and New York City files also have the following two columns:
- Gender
- Birth Year