Anna Flagg, for NYT’s The Upshot, used dots arranged as a stacked area chart to show the difference between two mortality rates. Each dot represents 10 people, and they start as a random cloud. A transition to show rate by age lends focus to both an absolute and relative count.
Category Archives: Upshot
NYT’s The Upshot analyzed spin rate on pitches before and after enforcing a ban on sticky substances that provide more grip on the ball. The rule has been in place for decades but wasn’t enforced. However, there’s been more strikeouts than usual, which makes for less exciting sports, which means less people watch, and therefore, the league makes less money. So, bye sticky stuff.
With the restrictions of the pandemic, you might expect an unusually big wave of people leaving cities for more open space. Using USPS’s change of address data, Jed Kolko, Emily Badger and Quoctrung Bui, for NYT’s The Upshot, show that this was not quite the case.
This surprised me, because I live in a suburban area that saw a flux of home buyers, which made prices approach ridiculous ranges. I wonder what in- and out-migration look like separately, on relative and absolute scales.
Quoctrung Bui and Sarah Kliff for NYT’s The Upshot used difference charts to show how current airfare prices are approaching 2019 prices, based on data from travel app Hopper. This seems to indicate that people are getting ready to travel again.
Because airfare is typically purchased weeks or months in advance, it can be a barometer of how the public is feeling about the pace of recovery. The prices in the Hopper data, which includes fares displayed over three years of searches (representing billions of flight queries), now suggest a travel recovery that could be in full effect as early as this summer.
The red shade between each line shows the difference between prices year-over-year. Usually the area color in difference charts reflects the metric that is greater, but in these, the area reflects the metric that is less. That confused me for a second. But I’m curious if you’re not familiar with difference charts, do you just see the pattern correctly right away?
NYT’s The Upshot has a quiz that puts you in a neighborhood via Google Maps images. Who did the neighborhood vote for in the 2020 presidential election? The aggregate of reader results is the most interesting part, which shows a strong correlation between correct guesses and the magnitude of the win by a candidate.
I much prefer this quiz over the refrigerator one The Upshot put up last year.
In what seems to have become a trend of making more and more detailed election maps, NYT’s The Upshot mapped results down to the addresses of 180 million voters:
The maps above — and throughout this article — show their estimates of partisanship down to the individual voter, colored by the researchers’ best guess based on public data like demographic information, voter registration and whether voters participated in party primaries.
We can’t know how any individual actually voted. But these maps show how Democrats and Republicans can live in very different places, even within the same city, in ways that go beyond the urban-suburban-rural patterns visible in aggregated election results.
Alicia Parlapiano and Josh Katz, reporting for NYT’s The Upshot, plotted the average aid for different groups, outlined by the March 2021 stimulus bill. The estimates come from a new analysis by the Tax Policy Center, which contrasts sharply with the 2017 Tax Cuts and Jobs Act.
Check out the full Upshot chart, which shows single and married households up to three children or more. There are a few visual encodings going on here with the axes, bubble size, color, and income group labels.
NYT’s The Upshot published their precinct-level map of 2020 election results. Zoom in to your geographic area and bask in or scratch your head over the detailed variation.
However, this year, The Upshot made their precinct-level data available on GitHub, so you can look closer if you like.
For NYT’s The Upshot, Kevin Quealy has been cataloging all of the insults Trump tweeted over the past five years. The project is complete:
As a political figure, Donald J. Trump used Twitter to praise, to cajole, to entertain, to lobby, to establish his version of events — and, perhaps most notably, to amplify his scorn. This list documents the verbal attacks Mr. Trump posted on Twitter, from when he declared his candidacy in June 2015 to Jan. 8, when Twitter permanently barred him.