E-Valuating Seattle Charging

An interactive Streamlit app for exploring EV charging placement across Seattle using traffic, demographics, and station data.

E-Valuating Seattle Charging dashboard

Project Info

  • Category: Coding / Data Analysis
  • Stack: Python, Streamlit, geospatial open data
  • Role: Group project (Jason Cao, Aiden Tan, Roxanne Dimadi, Katelyn Vu)
  • GitHub: Repository

What it does

The app helps answer where Seattle could use more EV charging, how effective current station locations are, and how recommended sites compare with today’s network. Users explore ZIP-level maps that combine AFDC charging stations with Seattle traffic flow, population estimates, vehicle registrations, and related infrastructure data.

Beyond visualization, the project emphasizes software quality: a packaged Python application with CI checks for code quality, security, and test coverage.