Nathan Yau

We don’t know what’s going to happen in the future, but we can look at what we do know and make our best guess.

Using estimates from the Harvard Global Health Institute, The Upshot mapped what hospital…

Jeffrey Leek, Lucy D’Agostino McGowan, and Elizabeth Matsui have a free/ pay-what-you-want book…

Coronavirus testing in the United States has been a slow process to say…

Based on estimates from public health researcher James Lawler, The Upshot shows the…

Social distancing is the game plan these days. Try to stay at home…

From The Economist, this chart shows the (mostly) decrease in foot traffic in…

We’re seeing a lot of visual to help explain what’s going on. Here’s the main stuff: what it is, who is affected, the spread, and what we can do.

There’s a lot of figures and numbers floating around about the coronavirus disease.…

Bartosz Ciechanowski took a deep dive into how gears work and the physics…

For The New York Times, Jonathan Corum and Carl Zimmer describe how the…

EarthArtAustralia mapped all of the trees and forests in the United States, based…

3Blue1Brown explains exponential growth and epidemics and answers the question of when the…

The coronavirus can possibly infect a lot more people than there are those…

Vicki Boykis riffing off the George Box quote, “All models are wrong, some…

Hannah Davis works with machine learning, which relies on an input dataset to…

Speaking of responsible visualization, Datawrapper provides 17 charts and maps you can use…

We’re seeing a lot of maps now about coronavirus. There are a lot…

These past few weeks, and especially this one, has been full of uncertainty. Probabilities, odds, and rates. In this issue of The Process we talk about ways to visualize this uncertainty.