12 April 2020
US Bikeshare Preview and Analytics in Python
Interactive python file to preview and analyse US bikeshare data (Chicago, New York and Washington) of user's chosen timeline (month, day) to summarise
- General time stats: most commonth month, week and start hour
- Station stats: most commonly used start station, most commonly used end station, most frequent start-end station trip
- Time duration stats: total travel time, mean travel time
- User stats: total user count, user count by gender (if data is available), earliest, most recent and most common year of birth
- bikeshare_submit.py
US bikeshare raw data,
- chicago.csv
- new_york_city.csv
- washington.csv
Python 3, NumPy, pandas
Terminal application to run python file
In terminal, key in "python bikeshare.py"
Udacity original repository: https://github.com/udacity/pdsnd_github.git git documentation: https://git-scm.com/docs