Code Creation: 07 Jun. 2019
Project Creation: 16 Jun. 2019
README Creation: 16 Jul. 2019
Explore US BikeSharing Data
A simple script that takes BikeSharing data from 3 cities and returns statistics based on user input of which city, which month, and what day of the week.
Statistics returned:
- Most popular station
- Most frequent times of travel
- Total and average trip durations
- Count for each type of user
- Gender Split
- Earliest Birth Year
- Most Recent Birth Year
- Most Frequent Birth Year
BikeSharing Data from Chicago, Washington, and New York City.
Links:
- https://www.divvybikes.com/system-data
- https://www.citibikenyc.com/system-data
- https://www.capitalbikeshare.com/system-data
Credit due to Udacity PDSND team for this: