Project
Overview
The Health Equity Tracker aims to give a detailed view of health outcomes by race, ethnicity, sex, socioeconomic status, and other critical factors. Our hope is that it will help policymakers understand what resources and support affected communities need to be able to improve their outcomes.
Technical Highlights
- •Built data pipelines using Python/Pandas to streamline data processing and consumption into Big Query.
- •Refactored visualization components from Vega to D3, reducing dependencies by 8.6% and decreasing package size by 30%, significantly improving application performance.
- •Developed frontend or client-side using React and TypeScript to integrate new datasets, enhancing data accessibility and visibility.
Technologies
Playwright
Pytest
Python
Pandas
React
TypeScript
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