BIXI Analysis
Apr 2021 - Oct 2021 · Delivered
An analysis of Montreal BIXI bike-share ridership against date, weather, time of day, location and pricing, to model the optimal fleet size by season.
- Python
- Matplotlib
- Pandas
Purpose
This project included analyzing large datasets of bixi bikes ridership and analyzing against parameters like Date, Weather, Day/Night, Location, Pricing etc. The goal was to find the effect of these parameters on each other and how the number of rides were effected, and to get the most optimal number of bikes available at each time and season of the year, with appropriate pricing. An article was also written for it.
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