Visualizing COVID-19 Vaccine Hesitancy Data on a Choropleth Map

Project Overview

This project visualizes COVID-19 vaccine hesitancy data on a choropleth map using D3.js. It leverages GeoJSON and TopoJSON data formats to map vaccine hesitancy across different Public-Use Microdata Areas (PUMAs).

---

Technologies Used

• D3.js: JavaScript library for creating dynamic, interactive data visualizations in web browsers.
• TopoJSON & GeoJSON: Data formats for encoding geographic features.
• HTML, CSS, and JavaScript: For structuring and styling the visualization.

---

Data Source

The vaccine hesitancy data includes estimates of strong hesitancy and demographics, aggregated at the PUMA level (areas with ~100,000 residents).
Source: Vaccine Hesitancy Data

---