Project and creation of README file was done on the Feb 23, 2019.

• Python Program to analyse bike share data in major US cities:

  • Chicago
  • Washington
  • New York City

• Functionality

  • Loading data based on user input
    • City
    • Month
    • Day
  • Calculating various statistics
    • Most Common Month
    • Most Common Day of Week
    • Most Common Start Hour
    • Most Commonly Start Station
    • Most Commonly End Station
    • Most Commonly Start and End Station Combination
    • Total Travel Time
    • Mean Travel Time
    • Counts of User Types
    • Counts of Gender
    • Earliest Year of Birth
    • Most recent Year of Birth
    • Most Common Year of Birth

Resources used and referenced:

• https://stackoverflow.com/questions/48590268/pandas-get-the-most-frequent-values-of-a-column
• https://stackoverflow.com/questions/775049/how-do-i-convert-seconds-to-hours-minutes-and-seconds