The purpose of this project is to utilize Tableau to create visualizations based on 2019 August New York City (NYC) Citi Bike rider data. The Tableau story includes but is not limited to
- The duration of time all riders and each gender checks out a bike,
- The number of bikes used each hour on each day of the week, and
- The number of bikes used each hour per day of the week and differentiated by gender and user type.
2019 August NYC Citi Bike Story
Aside from the dataset given, one further analysis I can do is to compare current trends with data from another month or even analyze data from another given year. Citi Bike may be interested in bike usage in different seasons of the year so that they can take more bikes into maintenance during the period of lower bike usage.
Another analysis Citi Bike may be interested in is the number or percentage of bikes located at a given starting location and a given ending location. By obtaining those numbers, Citi Bike will be able to determine how many bikes should relocate to which station at the end of each day so that most or all riders can check out a bike each day.
Data Source:
Software:
- Tableau Public
Email: show.wang94@gmail.com
LinkedIn: https://www.linkedin.com/in/s-k-wang