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.

Date created

17th October 2024

Bike Sharing Data Analysis

Description

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.

Files Used

Data files for each city in CSV format, e.g. './chicago.csv'. See 'Sources' below.

How to Use

Prerequisite: Install the latest stable version of Python, along with the Pandas and NumPy libraries.

1. Clone/fork the project.
2. Add the source data (below) to the project root.
3. Execute the bikeshare_2.py file in a terminal. E.g. python bikeshare_2.py

Sources

Chicago data

New York City data

Washington

Credits

Python documentation

Prompt user input - Python

Bikeshare project - GitHub

License

This project is meant for education use and is not licensed for commercial use.