In light of the Donald Sterling brouhaha, Amanda Cox for The Upshot put up some charts for why you shouldn't be surprised that people still say racist things, based on data from the General Social Survey dating back to 1972. Mmhm.
George & Jonathan used an interactive audio visualization for their recent album George & Jonathan III. This is a fun one. You can rotate the camera as you like, as the full album plays and notes are represented with dashes and dots.
Researchers at the University of Washington's Center for American Politics and Public Policy built the Legislative Explorer to show the lawmaking process in action. The visualization allows you to watch over 250,000 bills and resolutions introduced from 1973 to present.
The left half represents the U.S. Senate, with senators sorted by party (blue=Democrat) and a proxy for ideology (top=liberal). The House is displayed on the right. Moving in from the borders, the standing committees of the Senate and House are represented, followed by the Senate and House floors. A bill approved by both chambers then moves upward to the President’s desk and into law, while an adopted resolutions (that does not require the president's signature) moves downward.
Each dot represents a bill, so you can see them move through the levels. Use the drop-down menus at the top to focus on a Congress, a person, party, topic, and several other categorizations. Or use the search to focus on specific bills. Finally, when you do press play, be sure to keep an eye on the counters on the bottom.
The Pyro Board is a matrix of 2,500 flames that have controllable intensity, which can be used as an audio visualizer. Yeah, really. Just watch the video below.
For the past couple of sports seasons, Facebook mapped the most liked team by county. They did it for football (NFL), the NCAA basketball tournament, and baseball (MLB). Although generalized, the maps provide a view of sports fandom and people clusters across the country, and plus you know, they're fun.
The Upshot used the same like data, provided by Facebook, and mapped it at the ZIP code level. Then they took it a step further and looked closer at regional rivalries, such as Cubs and White Sox, Yankees and Red Sox, and Dodgers and Angels. Be sure to scroll down to Mets versus Phillies. They incorporated a tidbit of Josh Katz's dialect map.
The Upshot is off to an impressive start. It's almost as if The New York Times people have been doing this for a while. [via @KevinQ]
Remember those running maps I made with limited data from RunKeeper? Strava, which also provides an app to track your runs and bike rides, has a much more expansive version of popular paths around the world. Their dataset includes over 77 million rides and 19 million runs, summing to about 220 billion data points. Just pan and zoom to your area of interest, and there you go.
We calculated musical taste scores using data from the National Endowment of the Arts, the Bureau of Labor Statistics, and the U.S. Bureau of Economic Analysis (via the Martin Prosperity Institute) and state level music preferences from Wikipedia. The scores include music genre preference survey data and genre performer concentrations by metro, weighted by that metro's influence on the music scene. We took the scores for each metro and used a spatial statistics method called nearest neighbors to create the heatmap.
Matthew Klein for Bloomberg View explored mortality in America through a slidedeck of charts. The animations in between each slide grows tedious, but the topics covered, going beyond just national mortality rate, are worth browsing. (Although, can someone tell me why the female mortality rate rose between the 1970s and 2000? I know there's a perfectly valid reason behind the trend, but I can't remember.)
The data itself is also worth your time, in case you're looking for a side project. It comes from the Centers for Disease Control and Prevention and spans 1968 through 2010.
I can tell you from experience the data query process isn't the smoothest experience — as much as you can expect from a government site, I guess. That said, the amount of data, with a variety of demographic breakdowns and categorizations, can make for plenty of worthwhile projects. Highly recommended.
A Block is the smallest area unit used by the U.S. Census Bureau for tabulating statistics. As of the 2010 census, the United States consists of 11,078,300 Census Blocks. Of them, 4,871,270 blocks totaling 4.61 million square kilometers were reported to have no population living inside them. Despite having a population of more than 310 million people, 47 percent of the USA remains unoccupied.
See also Stephen Von Worley's map from a couple years ago, which shows blocks in the US with only one person per square mile.
This chart-map-looking thing from Nightly News is making the rounds, and it's not good. I'm opening the comments below for critique so that you can release your angst. Signed copy of Data Points goes to a randomly selected commenter the end of this week. Have at it.
This year's polar vortex churned up some global warming skeptics, but as we know, it's more useful to look at trends over significant spans of time than isolated events. And, when you do look at a trend, it's useful to have a proper baseline to compare against.
To this end, Enigma.io compared warm weather anomalies against cold weather anomalies, from 1964 to 2013. That is, they counted the number of days per year that were warmer than expected and the days it was colder than expected.
An animated map leads the post, but the meat is in the time series. There's a clear trend towards more warm.
Since 1964, the proportion of warm and strong warm anomalies has risen from about 42% of the total to almost 67% of the total – an average increase of 0.5% per year. This trend, fitted with a generalized linear model, accounts for 40% of the year-to-year variation in warm versus cold anomalies, and is highly significant with a p-value approaching 0.0. Though we remain cautious about making predictions based on this model, it suggests that this yearly proportion of warm anomalies will regularly fall above 70% in the 2030's.
Explore in full or download the data and analyze yourself. Nice work. [Thanks, Dan]
Open data consultancy Conveyal released Disser, a command-line tool to disaggregate geographic data to show more details. For example, we've seen data represented with uniformly distributed dots to represent populations, which is fine for a zoomed out view. However, when you get in close, it can be useful to see distributions more accurately represented.
If the goal of disaggregation is to make a reasonable guess at the data in its pre-aggregated form, we've done an okay job. There's an obvious flaw with this map, though. People aren't evenly distributed over a block — they're concentrated into residential buildings.
So Disser combines datasets of different granularity, so that you can see spreads and concentrations that are closer to real life.
As part of the You Are Here project from the MIT Media Lab, an exploration of independent coffee shops in San Francisco:
Independent coffee shops are positive markers of a living community. They function as social spaces, urban offices, and places to see the world go by. Communities are often formed by having spaces in which people can have casual interactions, and local and walkable coffee shops create those conditions, not only in the coffee shop themselves, but on the sidewalks around them. We use maps to know where these coffee shop communities exist and where, by placing new coffee shops, we can help form them.
Each dot is a coffee shop, and the shaded spots around the dot represent the areas nearest each shop. It's an interesting, more granular contrast to coffee chain geography and provides a better sense of a city's layout.
See also the same idea applied to Cambridge. I imagine there are more cities to come, as the data is gleaned from the Google Places and Google Distance Matrix APIs.
FloatingSheep pointed their Twitter geography towards beer (and wine).
From Sam Adams in New England to Yuengling in Pennsylvania to Grain Belt and Schlitz in the upper Midwest, these beers are quite clearly associated with particular places. Other beers, like Hudepohl and Goose Island are interesting in that they stretch out from their places of origin -- Cincinnati and Chicago, respectively -- to encompass a much broader region where there tend to be fewer regionally-specific competitors, at least historically. On the other hand, beers like Lone Star, Corona and Dos Equis tend to have significant overlap in their regional preferences, with all three having some level of dominance along the US-Mexico border region, but with major competition between these brands in both Arizona and Texas.
This of course excludes the increased appreciation for craft beer, as there isn't enough data for significant microbrewery results.
The New York Public Library announced open access to 20,000 maps, making them free to download and use.
The Lionel Pincus & Princess Firyal Map Division is very proud to announce the release of more than 20,000 cartographic works as high resolution downloads. We believe these maps have no known US copyright restrictions.* To the extent that some jurisdictions grant NYPL an additional copyright in the digital reproductions of these maps, NYPL is distributing these images under a Creative Commons CC0 1.0 Universal Public Domain Dedication. The maps can be viewed through the New York Public Library's Digital Collections page, and downloaded (!), through the Map Warper
From Cakecrumbs, a product that helps you learn while you eat: planetary layer cakes. The graduate student slash baker hobbyist's sister asked if she could make one, and at first she thought it couldn't be done. But then she thought more about it.
I spent the rest of the afternoon thinking about it. I don’t admit defeat. Ever. But especially not with cake. Nothing is impossible is pretty much my baking motto, so to say this cake was impossible left me feeling weird. There had to be a way. A way that didn't involve carving or crumbing the cake. I kept mulling it over until I had a breakthrough.
Hibai Unzueta, based on a paper by Albert Bartlett, demonstrates exponential growth with a simple animation. It depicts a man standing in a tank with finite capacity and water rising slowly, but at an exponential rate.
Our brains are wired to predict future behaviour based on past behaviour (see here). But what happens when something growths exponentially? For a long time, the numbers are so little in relation to the scale that we hardly see the changes. But even at moderate growth rates exponential functions reach a point where the numbers grow too fast. Once we confirm that our predictions about the future have failed, very little time to react may be left.
All looks safe at first, because the water rises so slowly, but it seems to rise all of a sudden. Oh, the suspense. What will happen to cartoon pixel man?
The Centennia Historical Atlas is a program that shows you border changes in Europe and the Middle East, from the 11th century to the present. It's meant as an educational tool. The video below is the animated map from the program set to climactic music from the movie Inception.
Based on a study on smoking prevalence from 1996 to 2012, a map by The New York Times shows the results. Smoking rates among men and women have declined overall over the years, but there are still relatively high rates in many areas of the country, which appears to correlate with income. Lower income tends towards higher smoking rates.
Patricio Gonzalez Vivo, an MFA Design & Technology student, scraped depth from Google Streetview and then reconstructed it in openFrameworks. The result is Point Cloud City. See it in action in the video below.
Now I'm curious what else can be gleaned from this data, because this essentially means you could get really detailed data about the makeup of places, down to the window of a building. Although I don't imagine Google will let this stay so accessible for long. [Thanks, @pixelbeat]