This project investigates the seasonal patterns of Washington bike-sharing demand using clustering. By aggregating hourly rental data into daily profiles, the study applies three distinct clustering algorithms: K-Means, PAM, and Hierarchical Agglomerative Clustering (HAC), to segment the data based on environmental and calendar factors.