Used city_data and ride_data(.csv) recordset from a ride sharing company which contained information about every active driver, and riders, including details like city, driver count, individual fares, and city type. With Jupyter notebooks, while employing Pandas and Matplotlib libraries, plots were created to offer data-backed guidance on new opportunities for market differentiation.
Blockalypse/Showcasing_Ride_Sharing_Data_With_Matplotlib
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