Prediction and Analysis of Suicide Rates

Public-health analytics project that studies suicide-rate patterns across demographics and geography using an interactive dashboard and supporting statistical analysis.

Highlights

• Cleaned and organized the underlying dataset for analysis and regression modeling.
• Built visualizations and an interactive Shiny dashboard for exploratory use.
• Focused on demographic and geographic patterns rather than static reporting alone.
• Combined analytical workflow and presentation in one project.

Tech Stack

R, Shiny, and HTML.

Why It Matters

This project demonstrates statistical analysis, dashboarding, and clear communication for a sensitive public-health problem space.