A responsive D3-based data visualization that leverages a Sankey diagram to display the breakdown of the worldwide COVID-19 cases.

This visualization uses a JSON endpoints provide by @pomber and @NovelCOVID which serves data derived from the Johns Hopkins Center of Systems Science and Engineering dataset.

You can hack on this locally by cloning down the repository and launching a local server via npm.

npm install
npm start

The data is dynamically queried and periodically generated locally for a static fallback. You can generate the data locally with the following command:

npm run data:update

Pull request and feedback is welcome and requested.

Thanks goes to these wonderful people (emoji key):

Lonny Gomes 💻 🚧	kmliebe 🎨 🤔	panoz7 🤔	J. Z. Rioflorido 🤔 🎨 ️️️️♿️	Rodrigo Pombo 🔣	NovelCOVID 🔣	Corey Gearhart 🤔 ️️️️♿️
kelissa 🎨 🤔	Corey B 🤔

This project follows the all-contributors specification. Contributions of any kind welcome!