Date created

The project had been submitted to the Udacity team on the 15 December 2019 and first committed to GitHub starting 14 January 2020.

Explore US Bikeshare Data - Python

This project involves using Python as a tool to explore data related to bike share systems for three major cities in the US: New York City, Chicago and Washington. The core of it is the use of descriptive statistics and data import. The final version of the written script transforms raw data into and interactive and descriptive tool for any user, guiding him through desired pieces of information.

The statistics computed include :

• Frequent time of travel

  • Most popular month;
  • Most popular day of the week;
  • Most common hour of the day

• Popular stations and trip

  • Most popular start station;
  • Most popular end station;
  • Most popular trip (i.e. most frequent combination of start station and end station)

• Trip duration

  • Total travel time;
  • Average travel time

• User information

  • Number of users by type;
  • Number of users by gender;
  • The oldest user;
  • The youngest user;
  • Most common year of birth

Software required / used

• Atom
• Anaconda
• Git Bash
• Microsoft Excel

Credits

Special thanks to the Udacity team of developers and mentors to guide students throughout Python basics.