COVID-19 Visualisations

Motivation & Technical Details

I programmed this website to create unconventional visualizations of COVID-19 data. The dataset that I used was volunteer-driven and crowdsourced by an organisation called covid19indiaorg. In the directed graph visualization, nodes represent patients and edges represent the transfer of the virus. The spread of COVID-19 can be analysed by looking at weakly connected components of the graph. I was also able to identify super-spreaders.

While viewing choropleth maps about COVID-19 cases and recoveries, I realised that it was difficult to gain an understanding of relative differences between two locations. Using Three.JS, I programmed a 3D map showing cases, recoveries and deaths in India.

Project URL: https://covid-visualized.netlify.app/