Fachreza Dewanto • Creative by Experience, Analytical by Curiosity
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This capstone project explores 4.2M rows data of hipotetical rides-share called Cyclistict (Jan–Dec 2024) to:
- Uncover casual vs. member behavior
- Analyze seasonal and hourly usage patterns
- Estimate ride-level revenue by user and bike type
- Recommend marketing and operational tactics
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data/: Sample CSV
- Description: Sample size of Divvy public ride dataset from January - December 2024.
- Full Dataset: Full unclean dataset could be access via Divvy Dataset under their license.
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scripts/: R Markdown files
- Main script:
scripts/analysis.Rmd- How to run:
- Open
scripts/Cyclistic User Behavior Report_GitHub.Rmdin RStudio. - Click “Knit” to generate the report.
- Output will appear in
reports/as an HTML or PDF file.
- Open
- How to run:
- Required R packages:
List any R packages needed (e.g.,tidyverse,skimr,janitor,scales,patchwork).
- Main script:
-
reports/: Knit HTML report
- Location:
reports/Cyclistic-User-Behavior-Report_GitHub.html(orreports/Cyclistic-User-Behavior-Report_GitHub.pdf) - How to view:
- Open the HTML report in your browser for interactive results.
- Download/view the PDF for a print-friendly version.
- Location:
- Pull requests and issues welcome!
- If you have questions or improvements, open an Issue or PR.
This project is licensed under the LICENSE file.
- For questions, open an issue or contact fac-dew.