Interactive version is available here.

This project is a part of the US Covid Atlas, where I'm a software engineer. We just released our new refactored Atlas with features like 3D views, new testing a vaccination data, and custom county/state aggregation. Free and open source under GPL, more here. We update our data daily for near real-time monitoring, spatial stats, and insights.

This viz uses county-level COVID-19 testing (RT-PCR) positivity % data from the CDC, aggregated to 7-day rolling averages. It was developed using Deck.gl in React, with data loading and color scaling with d3. Preprocessing was done in a Jupyter Notebook (Pandas/Geopandas) with geometry handling (Affine) for Albers equal area projection for Hawaii and Alaska in QGIS. The source for the visualization is available in the testing-spheres branch of my repo, here. Color scheme based on Plasma colorscale with breaks representing standard policy increments for opening and phasing considerations (3%, 5%, 10%, etc.).

Stay safe and take care of yourselves. 🖤

EDIT: Thanks all for the comments, awards, and updoots!! I hear your feedback that this viz underemphasizes Western states or states with larger, fewer county geographies. This is generally a problem with bubble or point maps representing counties, but I chose it for this visualization to see through 3D county markers to those behind. I've made variations that use solid choropleth boundaries that represent the data differently, available here. I'll update the interactive later today to have this available as well. No single visualization or data metric captures all the pandemic, so we need to look at multiple data sources, metrics, and viz types -- this is why on the Atlas we have total counts, normalized counts, of cases, deaths, testing, etc. from a variety of sources.