15.Tableau-Citi Bike Analytics
The objective was to create a dashboard for the New York Citi Bike program that visualizes Covid-19 induced change in use from 2019 to 2020 for participants over 55 years old.
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
Compared difference among bike users of Jersey City based on stations, gender and season in 2019.
Using Python and Tableau, created a dashboard from merging Citi Bike data and performing data exploratory analysis examining popularity of stations and the customer demographic.
Using Tableau to visualize CitiBike Program data from 2001 to 2012.
Citi Bike with Tableau
Data found in the Citi Bike Trip History Logs was aggregated to find unexpected phenomena. (Jersey City Data in 2016 and 2017)
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