This pitch presents a Shiny App to explore pediatric burn hospitalization trends in Inner Mongolia, China.

Burns are a major public health issue in children.
This tool allows users to filter by year and gender, and visualize: - Hospitalization & death rates
- Burn severity distribution
- Age structure (focus on under 14)

🖥️ App link: https://wishyouagoodfuture.shinyapps.io/burnshinyapp/
📅 Generated on: 2025-03-30

📌 Source: National burn epidemiology survey (2009–2018)
📌 Focus: Inner Mongolia, anonymized records

Main variables:
- Year, Gender, AgeGroup
- HospitalizationRate, DeathRate
- BurnArea (burn extent)

The Shiny App uses this dataset to provide dynamic insights for epidemiological monitoring and policy planning.

✅ Tracks 10-year trends in pediatric burn hospitalization
✅ Highlights high-risk age groups under 14
✅ Provides interactive filtering and visual output
✅ Built using Shiny + ggplot2 + reactive elements

This project meets course pitch criteria: - App deployed to ShinyApps.io
- Inputs + reactive server logic
- Output evaluated in presentation
- Hosted via RPubs