Skip to content

Bikesharing application data analysis visualization using Tableau

Notifications You must be signed in to change notification settings

annette-blackburn/Bikesharing_Tableau

Repository files navigation

NYC Citibike Analysis with Tableau

Purpose: To convince investors that a bike-sharing program in Des Moines, Iowa is a good investment. Citibike data from NYC in August 2019 was examined geographically, by user type. gender, bike usage duration, and peak usage times.

Link to Tableau Story:

https://public.tableau.com/app/profile/annette.blackburn4310/viz/Module14Challenge_2_attempt/CitibikeStory?publish=yes

Checkout Times for All Users (see images labeled as "Module 14 - ...")

Citibike usage is 3,000 minutes per user at maximum.

Checkout Times for All Users by Gender

Males are the most common users.

Trips by Weekday per Hour

6a-10a and 5p-8p are the peak riding hours during the weekdays and 5a and 10p during the weekends.

Trips by Weekday per Hour by Gender

Males are high Citibike users during peak hours.

Trips by Gender and User Type by Weekday

Male subscribers are the highest users, then female subsrcibers. Overall, Citibike users with unknown gender are likely the lowest users, customers, and subscribers because there are far fewer.

About

Bikesharing application data analysis visualization using Tableau

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published