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Blind users do not have access to the graphical output from R without printing the content of graphics windows to an embosser of some kind. This is not as immediate as is required for efficient access to statistical output. The functions here are created so that blind people can make even better use of R. This includes the text descriptions of graphs, convenience functions to replace the functionality offered in many GUI front ends, and experimental functionality for optimising graphical content to prepare it for embossing as tactile images.
Has anyone tried this yet? It sounds really useful.
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You’ve probably heard various renditions of The Star-Spangled Banner, and sometimes singers put a little extra something in the anthem. A bit of flourish. Some attitude. For The Pudding, Jan Diehm and Michelle McGhee quantified that extra something into what they’ve dubbed a Diva Score.
Out of the 138 versions they scored, the highest belong to Chaka Khan at the 2020 NBA All-Star game and Patti Labelle at the 2008 World Series.
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For NYT Opinion, Nate Silver compares consumer confidence between two surveys. The University of Michigan’s Index of Consumer Sentiment focuses more on personal spending, whereas the Conference Board’s Consumer Confidence Survey. Usually, the estimates follow each other, but there’s been a split the past few years, as shown in the difference chart above.
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The Kansas City Chiefs beat the San Francisco 49ers in Super Bowl LVIII. That’s three championships for the Chiefs in the last five years. How does that compare to teams who won previous Super Bowls over the past 58 years?
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Your body goes through a special process to digest spicy food. The sting, the sweating, the sting afterwards. For the Washington Post, Bonnie Berkowitz, Aaron Steckelberg, and Szu Yu Chen illustrate with a factory metaphor and a personified chicken wing.
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This chart by Eric Wallerstein for the Wall Street Journal shows expectations against reality. They often don’t match up.
See also: how rate projections change over time.
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When you’re a kid, most (if not all) of the people you know who are your age are in the same grade as you. Education paths start to diverge towards the end of high school and after.
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There are competitions where people complete jigsaw puzzles as quickly as they can, and some teams take it very seriously. Because of course. For the Washington Post, Chris Alcantara shows the times and strategies of the quickest puzzlers.
I would not be good at this.
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Sébastien Matos used a straightforward view to show the evolution of the scrollbar, dating back to the Xerox 8010 Information System from 1981.
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Deep Sea Vision, an ocean exploration company based in South Carolina, announced Saturday that it captured compelling sonar images of what could be Earhart’s aircraft at the bottom of the Pacific Ocean.
The discovery was made possible by a high-tech unmanned underwater drone and a 16-member crew, which surveyed more than 5,200 square miles of ocean floor between September and December.
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For WP’s Department of Data, Andrew Van Dam notes the decline of the school bus and the rise of the private vehicle to bring kids to school. The estimates are based on responses to the National Household Travel Survey conducted by the Federal Highway Administration.
I rode the bus when I was a kid, until I switched to riding my bicycle. I am now a parent who drives my kids to school. So this data strikes the a chord.
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Start with water, fire, wind, and earth and see what you can craft by combining elements. Neal Agarwal made a game, Infinite Craft, that uses Llama 2, a large language model, to build just about anything.
It’s a LLM version of Little Alchemy. [Thanks, Charlotte]
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I wrote a book! It’s the second edition of Visualize This. It focuses on the how of visualization with practical examples that you can apply to your own data. You’ll learn how to use a variety of tools and work through the full visualization process, from data to visual analysis to publication-ready graphics.
This second edition is loosely based on the first, but this is a brand new book. The examples are new, the tools are refreshed, and I rewrote almost every word. It turns out a lot can change over a decade and a half.
You can pre-order Visualize This now.
I hope it’ll help all of you have more fun with data.
More updates to come.
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Alastair Humphreys, using a 20 by 20 kilometer map of where he lives, explored one square kilometer at a time as if he were traveling farther. For the Guardian:
Travelling around my unremarkable map for a year gave me much to remark on. It was one of the most interesting journeys of my life and shifted my perspective on the way we choose to travel. It made me calmer and healthier. It fostered feelings of curiosity, awe, gratitude and a deeper awareness of nature than I had experienced before. The more you look, the more you see. The more you see, the more you learn and care. Your local map is a fractal of the world at large. Embrace it, care for it, cherish it, and discover it. You might just find that a single map is enough exploration for an entire lifetime.
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Some jobs are worked commonly by people of a certain race or ethnicity more than others. Farm managers are almost all white, postal service processors are half black, manicurists are 65% Asian, and drywall installers are 75% Hispanic. This chart shows the percentage of employed persons 16 years and older who are a given race or ethnicity for each job. It’s based on 2023 data from the Bureau of Labor Statistics.
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Usually you see a railway map from a local perspective, because it’s meant to show how you get from point A to point B. As a learning experiment, Zhaoxu Sui mapped major railways worldwide. It’s not comprehensive but still interesting to think about, in case you’re trying to get to China from Europe by train.
You can grab the full PDF version here.
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A map, by Pantry & Larder, shows the cost of a Big Mac at each McDonald’s in the United States, as of early 2023. As you might expect, the prices are higher on the east and west coasts. The most expensive Big Mac was in Lee, Massachusetts for $8.09. I assume shipping to Hawaii and Alaska brings prices up in those states.
But what’s going on in Montana and Arizona? Based on Regional Price Parity, Montana tends to cost less compared to the national average, and Arizona is right in the middle. Then again, when you adjust for cost of living, the two states are right next to each other towards the bottom for income, so I guess it makes sense.