Shiny App
(R-Lang)
This interactive dashboard was developed as part of my graduate program in Program Evaluation and Data Analytics.
The application analyzes traffic accident data in San Diego using spatial models and clustering techniques to uncover patterns related to driver behavior, fatalities, and environmental conditions.
The project demonstrates combines data wrangling, statistical modeling, and interactive design to transform complex public sector datasets into accessible, actionable insights.
Built with R and Shiny, the dashboard allows users to explore multiple dimensions of the data through dynamic visualizations and filters.
Some features include:
. Influence Tab – Examines the role of alcohol, drugs, and driver age in accidents.
. Fatality Tab – Highlights demographic patterns such as gender and age in fatal outcomes.
. Spatial Visualization – Uses a Dorling cartogram and clustering to display high-risk regions and accident hotspots across the city.
