This Data Analysis reveals key insights into user behaviors and usage patterns. Through effective data visualization and statistical modeling, the project provides a foundation for optimizing bike-sharing resources and enhancing the overall user experience. This work contributes to the field of urban transportation planning, demonstrating the potential of data-driven insights for sustainable and efficient mobility solutions.