11/13/2018
From the Udacity project page:
Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they'd like to just go for a ride. Regardless, each bike can serve several users per day.
Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used.
In this project, data provided by Motivate, a bike share system provider for many major cities in the United States, was used uncover bike share usage patterns. Data was provided for Chicago, New York City, and Washington, DC.
Running the script will give you a breakdown of the following information per city:
- Popular travel times
- Most popular stations and most popular start-end station combination
- Drip duration statistics
- User info (some user info statistics not available for Washington)
The script will only give you information for 1 city at the time, it also allows you to filter by day and month. Only data about the first 6 months of 2017 is available.
- chicago.csv
- new_york_city.csv
- Washington.csv
Made available on the Udacity Course Project Page