The American Time Use Survey asks people what they do during the day. Activities are split into categories. One of those is sports and leisure, which is further broken down into more specific things like biking and basketball. Henrik Lindberg charted the relative peak times for these subcategories using overlaid area charts.

Fun.

Lindberg made it in R, and you can grab the data and code here.

The continental United States gets a total solar eclipse on August 21, so Denise Lu for The Washington Post mapped out every total solar eclipse that will happen in your lifetime. Enter the year you were born and see the paths on the globe.

As you probably know, Twitter (and all social media) collects data about you and infers your likes, dislikes, wants, dreams, hopes, etc. Sam Lavigne set up a scraper to find out all the user segments, ranging from “buyers of cheese” to “households with people who have recently moved into a new home.” It can get pretty detailed. Lavigne then used this data to automatically generate an infinite ad campaign, on what else, Twitter.

Using this list I wrote a program, “The Infinite Campaign”, that automatically generates and posts an infinite series of video ad campaigns. The script randomly selects two behavior categories and one interest category from the ad creation page. It rephrases the descriptions of the categories, putting the statements in the second person. The Infinite Campaign then overlays those statements on top of automatically selected stock footage. Finally, it logs me in to Twitter, uploads the video, and auto-generates a new ad campaign, targeting the same behavior and interest categories used to generate the video.

The data is available for download, which includes the size of user segment and the data brokers involved.

By the way, you can opt out of some of the tracking in the privacy section of your Twitter settings. Obviously that doesn’t stop others from tracking you, but at least it’s something.

Chris Wilson for Time has a fun piece up that tests how well you can draw the states. The quiz asks you to draw the states, and you get a grade for each sketch. Your sketched states are then placed geographically on a map so you can see how horrible you are.

[arve url=”https://vimeo.com/223309160″ /]

Researchers are building models to simulate the Earth’s core. From CNRS News:

Take a journey to the center of the Earth—as far as its outer core, at least—and you’ll find a swirling mass of metal, mainly iron, kept in liquid form by the region’s intense heat. Temperature and pressure variations across this layer cause the melted metal to rise in hotter zones and to sink in cooler ones—convection movements that generate electric currents through the metal, and in turn, magnetic fields. Pair these convective motions with the Earth’s rotation on its axis and you have a large-scale dynamo effect: the spinning aligns the convective motions which now cooperate to produce one big magnetic field, ultimately creating the shield that blocks out solar wind.

I’m still not entirely sure what I’m looking at, but I like it.

I always enjoy the data sketches that Mona Chalabi posts on Instagram. She takes typically everyday data and sketches them or uses props to communicate the actual meaning. Check them out if you aren’t familiar. In her most recent sketch, Chalabi used fruit to compare an empty bladder and stomach to a full bladder and stomach.

Source: Nanomedicine Volume I, 1999 #datasketch

A post shared by Mona Chalabi (@mona_chalabi) on Jun 28, 2017 at 9:39am PDT

The administration tweeted a chart that shows the Senate Republican health care bill increases Medicaid funding. The line moves up, so it must be true, right? Well, it depends on what you compare to. The original simply compares over time — against the past. Vox compared it against what spending would be under current law.

Opting for the force-directed clusters route, Catherine Hanrahan and Simon Elvery for ABC News visualized Australian demographics at the scale of 100 people. Each dot is a person, and as you scroll, you get different breakdowns. It’s percentages, but treating each percentage point as a person makes it more relatable.

See also: Demographics in a world of 100.

During the election last year, The New York Times ran an uncertainty dial to show where the vote was swaying. Not everyone appreciated it. Many people hate it. The Outline disliked it enough to troll with an uncertainty dial of their own.

Personally, I like the dial, but I think it does require a certain level of statistical knowledge to not lose your marbles watching it.

The Census Bureau released estimates for demographic breakdowns for each county — in 2060. With these estimates as the baseline, Niraj Chokshi and Quoctrung Bui for The Upshot compared it against current population estimates. The result is a map of counties most resembling the past, present, and future.

Clark County, which occupies that corner of Nevada, is the county that most looks like the United States of 2060 in terms of race, Hispanic ethnicity, age and gender, according to new data from the Census Bureau. It was followed by Contra Costa and Solano Counties in California’s Bay Area.

Kind of looks like the inverse of white percentages.

Movies would have you believe that birth is random and unpredictable. (And if you haven’t been part of the birth process, you’d be surprised by how slow it actually is.) While uncertainty is always in play, there’s a certain cycle to it all. Zan Armstrong and Nadieh Bremer for Scientific American, using 2014 data from the Centers for Disease Control and Prevention, examined the regularity and the reasons for the spikes.

I like the greater/lesser than average split for contrast. The circle time series layout doesn’t always fit the data, but in this case the metaphor fits the cyclical aspect.

Full graphics and breakdowns.

We all get a lot of emails, and there’s a large subset of them that almost instantly end up in the archive or the trash bin. In the past year, this subset seems to have really grown for me. They tend to follow a similar pattern to “submit infographic” probably 90 percent of the time. At this point, the patterns seem so regular that I can archive without ever opening the email. Here’s my deletion process.
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Google released the Quick, Draw! dataset, so the closer looks at the collection of 100,000 sketches are coming in. This fun piece by Yannick Assogba uses principal components to arrange doodles in some organized way.

Reminiscent of Aaron Koblin’s classic The Sheep Market.

Open Up: A Guide to Using Open Data to Combat Corruption is free for download.

A broad understanding of corruption recognises that it is not just about isolated acts between two different agents: the one who offers a bribe, and the one who receives it. Instead, corruption is a complex crime. It is driven by networks of officials, professional intermediaries and companies. So in order to tackle corruption effectively, you need to understand and dismantle these networks. This requires information and the ability to spot patterns.

The more people who can find truth in the data, the better we all come out in the end.

I had the honor to deliver the commencement speech at the UCLA Statistics graduation this past weekend. I’m going to put this here for posterity before my memory tucks it away never to be uttered again. I truncated the speech last minute, so these notes are a little more coherent than my delivery.
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Thu-Huong Ha and Nikhil Sonnad for Quartz looked at the doodling dataset from Google, in search of cultural differences hidden in how we draw circles around the world.

We used the public database from Quick, Draw! to compare how people draw basic shapes around the world. Our analysis suggests that the way you draw a simple circle is linked to geography and cultural upbringing, deep-rooted in hundreds of years of written language, and significant in developmental psychology and trends in education today.

Love the added context showing character strokes in different languages.

Nerd humor:

Asked for a normal coffee ☕ pic.twitter.com/JoakebV9xN

— Matt Moores (@MooresMt) June 14, 2017

That barista deserves a tip.