https://github.com/najtompkins/citibike_analysis

Tableau Proficiency - Visual Analysis of CitiBike rides from July-September 2023.
https://github.com/najtompkins/citibike_analysis

python3 tableau-dashboards tableau-public visualization-tools

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Tableau Proficiency - Visual Analysis of CitiBike rides from July-September 2023.

• Host: GitHub
• URL: https://github.com/najtompkins/citibike_analysis
• Owner: najtompkins
• License: gpl-3.0
• Created: 2023-12-07T18:45:32.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-21T21:02:13.000Z (over 2 years ago)
• Last Synced: 2025-03-14T19:23:25.921Z (about 1 year ago)
• Topics: python3, tableau-dashboards, tableau-public, visualization-tools
• Language: Jupyter Notebook
• Homepage: https://public.tableau.com/app/profile/nathan.andrew.tompkins/viz/CitiBike2_16981002014400/Story1?publish=yes
• Size: 39.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# CitiBike Riders Analysis

-- For full repository, click [here](https://github.com/najtompkins/citibike_analysis). --



The purpose of this analysis is to demonstrate proficiency in Salesforce's Tableau Public by presenting an analysis performed on CitiBike's own historical records found at [https://s3.amazonaws.com/tripdata/index.html](https://s3.amazonaws.com/tripdata/index.html). The visual analysis and insights of CitiBike rides span the summer months of July-September 2023.

*Note:*

*This analysis was performed as part of the 2023 UCF Data Analytics and Visualization Bootcamp.*

## Tableau Workbook Access

For the interactive Tableau Story, click [here](https://public.tableau.com/app/profile/nathan.andrew.tompkins/viz/CitiBike2_16981002014400/Story1?publish=yes).

For the Tableau .twbx download, click [here](citibike_analysis.twbx).

## Data Overview

- **Total Number of Rides Recorded:** 312,868

- **Total Number of Bike Stations:** 81

- **Average Length of Each Ride:** 2-3 Minutes

- **Peak Riding Hours:** 4-6 pm

- **Peak Riding Days:** Weekdays (especially midweek)

- **Rider Categories:** *Member, Non-Member*

- **Most Popular Station:** "JC115," at Christopher Columbus Dr. and Grove St.

- **Most Popular City Area:** Jersey City, New Jersey

## Observations and Recommendations

1. Jersey City 


   

   1.1 The data reveals that the most popular cluster of stations can be found in Jersey City, New Jersey. This could be because, according to [walkscore.com](https://www.walkscore.com/NJ/Jersey_City), "Jersey City has an average Walk Score of 87 with 247,597 residents" and "has excellent public transportation and is somewhat bikeable." Over 89,686 (28%) of all rides beginning or ending at these stations. 


   1.2 *Consider investing in increased cleanliness/maintenance for these stations, as well as developing a marketing strategy to solidify CitiBike as a part of the Jersey City Identity.* 


3. Peak Evening Hours 


   2.1 Our riders start and end their rides most frequently between the hours of 4 pm and 6 pm, peaking on midweek evenings. This same pattern holds for the hours of 6 am to 9 am, though to a lesser degree. This may indicate that workers are more likely to walk to their place of work but ride home after their shift.

   ![Hours Heatmap](images/peak_hours.png)

   ![Hours Line Chart](images/peak_hours_line.png)

4. Peak Morning Hours 


   3.1 The data above also indicates that midweek is the height of both evening and **morning** rides. Early morning commuting increases midweek between 6 am and 9 am. Could our riders be "treating" themselves by choosing our bikes as a more premium transportation option in the middle of the week for both morning and evening commuting?

   3.2 *Consider developing a "commuter" type rewards system or membership tier, especially for riders who ride every day and develop a "commuter streak."*

5. Membership Notes 


   4.1 In September, over 73% of all rides were taken by CitiBike members, an increase of 4.5% in July. Jersey City likewise saw member ride growth; the percentage of Membership in the Jersey City Area grew from 60% to 67%, indicating a growing user base. This growth is also reflected in membership rides from July to September.

   4.2 *Consider increasing membership by offering the above-mentioned reward system or membership option, coupled with value-adding discounts for rides outside of commuting hours.*

   4.3 *Consider Adding a "Location" label for each member. "John Doe: Jersey City CitiBike Rider." This may add to the sense of local identity mentioned in the recommendation 1, Observation 1.*

   ![Membership Change](images/membership_change.png)

6. Electric Bike usage decline 


   5.1 While not a stark decline, it is observed that electric bike usage declined by 2% over these months. Do our users want healthier rides (classic bikes), or could this indicate technological issues with our electric option which leave our users dissatisfied with having a single bike option?

   5.2 *Consider increasing electric-bike marketing as value to the user, cost-benefit for electric/classic bike ratio, and evaluate maintenance logs for the most-used bikes.*

   ![Bike Type Usage](images/bike_type_perc.png)

## Summary



Our riders find value in our bikes as a commuting tool, particularly in a very public-transport-accessible and walkable city like Jersey City. Our peak hours are midweek from 6-9 am and in the evening from 6-8 pm. Members account for nearly 71% of all rides, but value in the product can be increased by targeting our busiest stations for improved maintenance, cultural presence, and more importantly, a more varied number of membership options that encourage daily usage of our bikes.