Health & Chronic Disease Visualization Dashboard
Description:
Developed an interactive dashboard to explore chronic disease prevalence by state using MongoDB, Chart.js, and MapLibre. Enables insights into geographic health disparities and demonstrates full-stack data visualization skills.
Problem:
Public health data can be complex and siloed, making it difficult to identify geographic trends in chronic disease prevalence.
Methods:
Collected state-level chronic disease datasets.
Stored and queried data in MongoDB.
Built interactive dashboards using Chart.js and MapLibre.
Visualized prevalence rates across U.S. states with geospatial mapping.
Tools: Python, MongoDB, Chart.js, MapLibre
Results:
Interactive dashboard with charts and maps highlighting chronic disease trends.
Ability to filter by condition and geography for deeper insights.
Business Impact:
This project demonstrates how data visualization + geospatial analytics can uncover health disparities and support more informed policy and research decisions.