Bike Sharing Analysis: NYC / Chicago / D.C.​

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• Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles for short trips, typically 30 minutes or less. We have access to a wealth of data that can be used to explore how these bike-sharing systems are used.

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• In this project, I performed an exploratory analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States. I compared the system usage between three large cities: New York City, Chicago, and Washington, DC. I also explored if there are any differences within each system for those users that are registered, regular users and those users that are short-term, casual users.​

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• This project was analyzed using python in Jupyter notebooks.

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• To view the project in Jupyter notebook click here.