Note: Please fork the current Udacity repository so that you will have a remote repository in your Github account. Clone the remote repository to your local machine. Later, as a part of the project "Post your Work on Github", you will push your proposed changes to the remote repository in your Github account.
17th October 2024
A tool built in Python to analyse the use of bike sharing services in three US cities: New York City, Chicago, and Washington. The data can be filtered and visualised in various ways:
- Most used collection/drop-off stations.
- Busiest travel times.
- Durations of trips.
- Types of user by gender, age, etc.
Data files for each city in CSV format, e.g. './chicago.csv'. See 'Sources' below.
Prerequisite: Install the latest stable version of Python, along with the Pandas and NumPy libraries.
- Clone/fork the project.
- Add the source data (below) to the project root.
- Execute the bikeshare_2.py file in a terminal. E.g.
python bikeshare_2.py
This project is meant for education use and is not licensed for commercial use.