On this data portal, explore different aspects of COVID-19 / Coronavirus time evolution. I put this together because I saw a lot of different visualizations and data views over many different sites but no way to explore them all within the same tool. I hope this will be as helpful for you as it was for me, in helping process and understand the torrent of information and numbers we see in the news and on our phones every day.
On this page you can set the x, y, color, and time axes to be different aspects of the underling data, and also customize what regions to display. When you find a set of projections that you like, copy a link to share or save the image to your computer. If you find a configuration that is particularly helpful or informative, I'd be happy to hear from you!
For some examples of configurations that might be useful, check these out: (click on the links to load them)
Bhatia-Reich plots, made famous by this MinutePhysics video. Exponential growth shows up as a nice visual "highway" that regions travel along, and is easy to observe when they exit exponential growth.
Growth curve plots, displaying curves on the news that we are supposed to be flattening. Growth scaled based on population. A logistic fit is added to visualize bell curve projections.
Percent growth plots: periods of perfectly exponential growth show up as horizontal lines. Colors reflect absolute counts, to show more info at a glance.
Mortality Rate Plots: The angle/slope of travel at each point in time approximates that moment's cumulative fatality rate. The more upwards-angled, the higher the rate; the more rightward-angled, the lower. 13-day lag applied, as per this CDC recommendation.
"Baserunner" Plots: Regions all must move through a circular track, from "home base" at the bottom, counter-clockwise; when they get back "home", they are effectively out of the epidemic. Set-backs will visually appear as backtracking or getting lost. Inspired by Danny Dorling's tornado plots