Divvy Evaluation Dashboard and Report

Group Members: Zixuan Xu, Yuchen Zhang, Yuyang Yin

In this repository, we have projects organized in two main parts, dashboard and report.

Dashboard

For the dashboard, we have all the codes enclosed. The data is queried using API with approximately 3.6 million rows.

• Sample Application
  • Due to memory limitation, the online app is built on randomly selected sample data (200,000 rows).
  • Code for sample app:
  • Repository for Sample Application
• The full app can be viewed locally by running the Dashboard.ipynb.
• Here is a screenshot of the full app.
  

Report

For the report, we built a regression model to predict the bike-share demands across Chicago. You can refer to the document for full analysis and methodology.

• The full code is Report.ipynb.
• The full report is Report.pdf.

Conclusion

For the project, we conducted a comprehensive analysis of the Divvy bike-share system in Chicago, with both data visualization dashboard and regression model analysis.