Tableau viz visualizing Citi Bike usage trends in New York City amid COVID-19. The analysis is done from the perspective of user behaviors, customer breakdown, and change in bike stations popularities.
This repository contains Python scripts that download and analyze data from the Citibike bike-sharing system in New York City.
Developed statistical models with data visualizations to provide solution recommendations for the client. Performed data cleaning using Pandas and NumPy to ensure the correctness and completeness of the dataset and create effective visualizations to help the audience derive greater insights
Time series Analysis
Exploring CitiBike usage patterns with graph algorithms.
A Tableau story containing visualizations and analysis for each discovered phenomena from the Citi Bike Trip History datasets. Deployed to Tableau Public.
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