Using Python programming language, a detailed data provided by Motivate, a bike share system provider for many major cities in the United States, we uncover the bike share usage patterns by comparing the system usage between three large cities: Chicago, New York City, and Washington, DC.
Stats were generated from four major aspects
- Popular travel times
- most used month
- most commond day used
- most common hour of day used
- Most used stations
- popular starting station
- most used end station
- best station combinations by number of times used
- Duration for trips
- average time travel
- total time travel
- User information
- each gender type by numbers
- youngest individuals involved by each gender
- youngest and oldest user type by gender
- chicago.csv
- new_york_city.csv
- washington.csv
The following resouces helped me accomplish this project:
- Display five rows of data based on user input
- Displaying increment on stackoverflow
- Khaledimad US Bikeshare project
- Mosh Hamedani: Intro to programming with python on youtube
- Udacity Lecture notes
