FAERS Public Dashboard

This Shiny application is a simulation of the FDA Adverse Event Reporting System (FAERS), created using flexdashboard, shiny, plotly, and reactable.

📊 Features

• Dynamic filters (gender, age group, year, seriousness, etc.)
• Multiple summary views (by gender, age, type, reporter, region...)
• Drilldown by drug
• Value boxes, stacked bar plot, and dynamic table

🧠 AI Tools Used

This project was built with the assistance of ChatGPT (March 2025 version), used to:

• Generate R code for simulating the FAERS dataset
• Design reactive UI components and logic in flexdashboard
• Create clean data visualizations with plotly and reactable
• Assist with dynamic layout and Shiny reactivity

The model provided real-time help with debugging, styling, and modularization of the app.

✅ How to run

Open app.Rmd and click Run Document or use the Run App button in RStudio.

---