Nathan Yau

The first part of visualizing data usefully is making sure the data you’re working with is not terrible.

Elon Musk has been critical of government spending, as he and DOGE fire…

Planet Money explains the Daily Treasury Statement from the U.S. Treasury. The data…

Nate Silver writes a few thoughts on the closing of FiveThirtyEight:
For more…

Disney is cutting news jobs, and FiveThirtyEight, which was absorbed by ABC News…

For The New York Times, Siobhan Roberts talked to mathematician and Fields Medal…

For Bloomberg, Ira Boudway reports on NBA basketball going too far with the…

Speaking of imported vehicle parts, June Kim and Neal Boudette, for The New…

To demonstrate how tariffs can impact American products, Financial Times focuses on the…

When you see surveys that supposedly ask the same question, you might wonder…

Luis Melgar and Rachel Lerman, for the Washington Post, highlight the value of…

We’ve mostly heard about tariffs as they apply further down the supply chain…

It appears that gray and neutral tones on houses are a sign of…

One might hope that people on a waiting list for an organ transplant…

The network of 76 probability distributions show how they are connected:
Solid lines…

Farming and environmental groups are suing the U.S. Department of Agriculture for removing…

Here are tools you can use, data to play with, and resources to learn from that bubbled up in February.

Imagine everything on Wikipedia in an infinite museum of galleries. That’s what Maya…

Generative AI is readily accessible these days, which has led to an influx…

To show a catalog of almost 100 million books in one view, phiresky…