Python analysis of bike share data for Chicago, NYC, and Washington. Discover popular times, stations, trip durations, and user demographics. Interactive terminal experience for insights into usage patterns in the first half of 2017.
Cleaning and Analysing the raw data containing customers details of a grocery store based on their age, gender and products they purchase.
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