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Chicago Bikesharing Data Analysis

Project type

Data Analysis

Date

Feb 2024

Location

Columbus, Ohio

Winning Project for Data I/O Hackathon

An analysis and visualization of bike sharing data in Chicago.

Our project aimed to produce business insights on when and where bikes should be moved by the company to be restored. Using unique graph and map visualizations, we identified optimal timings and locations to move bikes to and from.

Tech stack: Python; pandas for analysis and Plotly for visualization

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