Nathan Yau

This week is about highlighting changes in data visually to make them glaringly obvious.

Amanda Shendruk and Catherine Rampell, for Washington Post Opinion, highlight the current strategies…

According to data from ActivTrak, people are shortening their work days with higher…

This might come as a surprise to some, but since congestion pricing in…

In almost every dataset about life and people that stretches back past March…

From Pew Research, this political typology quiz is from four years ago but…

Alvin Chang, for the Pudding, highlights education research on the awkwardness of middle…

Last week, Disney laid off FiveThirtyEight employees and announced the site would cease…

For Our World in Data, Saloni Dattani and Lucas Rodés-Guirao analyzed the various…

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…