Cyclistic Bike Sharing Data Analysis
Cyclistic Rider-Type Analysis
Trends in 2022
Background:
Cyclistic is a bike-share company that started in 2016 and has since grown into a successful company with a fleet of 5,824 bicycles (with 3 different types of bicycles) that are located in stations throughout Chicago.
Cyclistic has two types of riders: casual riders, which consists of those using single-ride passes or full-day passes, and annual members. Annual memberships are more profitable than casual riders.
Business Task:
Analyze how annual members and casual riders use Cyclistic bikes differently in 2022 to determine how casual riders can be turned into annual members to increase profits.
Business Objectives:
- How do annual members and casual riders use Cyclistic bikes differently?
- How could these trends apply to turning casual members into annual members?
Data:
- The dataset is publicly available via Motivate International Inc. under this link, and the data is available in .csv format.
- Our date range: January 2022 to December 2022
- The dataset has individual ride records consisting of ride_id, rideable_type, started_at, ended_at, start_station_name, start_station_id, end_station_name, end_station_id, start_lat, start_lng, end_lat, end_lng, and member_casual.
Tools and Process:
- R used for data cleaning, data transformation, and data analyzation
- Tableau used for data visualization
Data Cleaning, Transformation, and Analysis with R:
- Datatypes made consistent and then were consolidated using the following query
- To assist in analysis, 4 new columns were added (month, day, year, day of the week) using the following query
- To assist in analysis, "ride_length" was converted to numeric for calculations using the following query
- Unnecessary data removed using the following query
Data Visualization:
The final, cleaned dataset consisting of roughly 3.4 million ride records was analyzed and used to create visualizations in Tableau that show the differences in bicycle usage between casual riders and annual members. The tableau dashboard can be found here.
Conclusion and Recommendations:
- Based on the data, casual riders use bike rentals for leisure while annual members use bike rentals for commuting. Casual riders may include residents of Chicago but may also include tourists that cannot be converted to annual members.
- Since the least popular season for bike rentals is winter, a discount or campaign for annual memberships can be offered in the winter to drive sales.
- Other membership options could be offered to targeted members that reside in Chicago and are casual riders, such as a weekend only membership or summer season only membership.
Comments