This project explores Cyclistic’s 2019 bike-share ride data to uncover patterns between casual riders and annual members. Using R, I analyzed trip times, popular routes, rider demographics, and time-of-day habits to understand what drives usage—and what might turn occasional riders into loyal subscribers. Whether you’re into data, marketing, or urban mobility, this case study gives a clear look at how everyday behavior can shape smart business decisions.

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