This data set includes information about individual bike rides made in a bike-sharing system covering the greater San Francisco Bay area for Q1, 2020 Year, this data is downloaded through this reference https://s3.amazonaws.com/baywheels-data/index.html.
Most of the trips are happened at (07-09) and (16-18), going to work and returing from work. Most of the trips are during working days, with special high rates on wdensday. Most of the trips duration last between 5 to 8 minutes. Most of the destinations traveled are between 1000 to 1500 meters. The riding trips are much shorter on workdays compared to weekends. The trip duration distribution is much narrower and shorter trip for subscribers. subscribers seem to have a more specific usage or targeted goal riding the bikes compared to customers who vary more and generally rented the bikes for longer time. Subscribers usualy use the rides through the working days, while the customer tend to use more rides during weekends. subscribers ride much shorter trips compared to customers on each day of the week. Both user types have an increase of trip duration on Saturdays and Sundays over working days, especially for customer riders. Subscribers usage seems to be more efficient than customers overall and maintained a very consistent average duration from Monday through Friday.
i will focus on the trip durations and count by user types during week days and day hours