Transit Data Trend Visualization

The primary purpose of this project is to clean and format data, perform detailed analysis, and create insightful visualizations. In particular, it 1) generates demographic reports for public transit riders profile; 2) compares user trends between 2016 (pre-covid) and 2022 (post-covid); 3) discovers new insight from data in 2022.

Click to access the report

The codes and detailed documents can be retrieved via my GitHub Repo.

Yaxuan (Sean) Zhang
Yaxuan (Sean) Zhang
PhD Candidate at UMN | MGIS Student | Computer Science Minor

My research interests include geospatial data science, transportation planning, and GeoAI.