Bike-sharing data analysis

Bike-sharing data analysis involves examining information collected from bike rental systems, such as trip durations, start and end locations, user types, and times of use. By analyzing this data, we can identify popular routes, peak usage times, and user patterns. This helps cities improve bike station placement, optimize bike availability, and enhance overall service. Essentially, it turns raw trip data into insights that support better planning, resource allocation, and encouraging sustainable transportation options.