This project analyzes 12 months of Cyclistic bike-share data to understand differences between annual members and casual riders. Using data cleaning, transformation, and visualization techniques in R, the analysis identifies key patterns in ride frequency, duration, and seasonal trends. Insights from this study inform targeted marketing strategies aimed at converting casual riders into annual members.