The purpose of the project is to convince investors that a bike-sharing program in Des Moines is a solid business proposal.To solidify the proposal, one of the key stakeholders would like to see a bike trip analysis.

Using Jupyter Notebook changed the trip duration data to a datetime field with correct time format.

Using Tableau,visualization of data was created

The bike usage reaches a top 146k minutes per user

The checkout times by Gender graph shows Males are significantly higher users than others

Trips by Weekday for Each Hour Viz graph shows ,peak riding on weekdays is from 6am-9am and 4pm-9pm and on weekends 7am-9pm

Trips by Gender graph shows Males are high users during peak hours.

Male Dubscribers are high followed by Female subscribers

August is the month having peak riding hours

In NYC August month has high peak riding hours that is from from 5pm to 7pm.Based on this bar chart maintainance can be performed from 2am to 5am. From graph analysis shows Males subscribers are the highest users and follow high use time.