The NY Data Visualization and Infographics meetup is about to start, and you can tune in to the livecast below. It’s 4:20pm PST right now, so they’ll probably be starting soon. They’ve got a good speaking lineup, so it should be interesting.
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As most of you know, there are 33 Chilean miners trapped 2,230 feet underground. That’s about two Eifel Towers, and it’s going to be a few months before they’re rescued. In the meantime, the necessities of life are being sent down to the miners through a 3-inch bore hole. This simple graphic/cutout from Newsweek provide some perspective. [Newsweek]

Instead of breaking up demographics by defined boundaries, Bill Rankin uses dots to show the more subtle changes across neighborhoods in a map of Chicago using block-specific data US Census.

Any city-dweller knows that most neighborhoods don’t have stark boundaries. Yet on maps, neighborhoods are almost always drawn as perfectly bounded areas, miniature territorial states of ethnicity or class. This is especially true for Chicago, where the delimitation of Chicago’s official “community areas” in the 1920s was one of the hallmarks of the famous Chicago School of urban sociology.

Each dot represents 25 people of the map color’s corresponding ethnicity.

Erica Fischer, who has made a map or two, takes the next step and applies the same method to forty major cities. Here are the maps for Los Angeles, San Francisco, and New York, respectively. Same color-coding applies. You definitely see the separation, but zoom and you much more subtle transitions.
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Yeah, you know what day it is. What category do you fall under? [fixedgear via macdiva]

You read that right. There’s going to be a FlowingData book, published by the fine folks at Wiley. With all the books out there about design methods and best type of graph to do this and that, I thought it was time for a guide on how to actually put all that into practice.

When I first started getting into data graphics, I read all the books I could about good design with data. But when it came time to actually make something, I was lost. I had no clue how to use the software that was available to me. So all that other stuff I read was pretty worthless, just sitting there in my brain. This book will help you with that part.

Think lots of tutorials that take you from start to finish and teach you not just the what, but also the how.

More updates to come.

In 2009, legislation mandated that doctors make use of electronic medical records by 2013 to help make the healthcare process run smoother and more efficiently. This information video (below) produced by HonestPancake explains the basics of the why and how. It’s also sort of an advertisement for GE Healthcare’s Centricity Advance.
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Through high school and sometimes beyond we’re taught history as absolute fact. It’s in the books so it happened. A lot of it is true, but there are often disagreements, as history can look different depending on your point of view. In The Iraq War: A Historiography of Wikipedia Changelogs, James Bridle places 12,000 changes and almost 7,000 pages for the corresponding Wikipedia entry in book form. Sometimes history isn’t so straightforward. [booktwo]

O’Reilly Radar surveys the state of mapping APIs from old sources (like Google) and new ones (like CloudMade). Spoiler alert: there’s a lot of opportunity out there.

Maps took over the web in mid-2005, shortly after the first Where 2.0 conference. They quickly moved from fancy feature to necessary element of any site that contained even a trace of geographic content. Today we’re amidst another location and mapping revolution, with mobile making its impact on the web. And with it, we’re seeing even more geo services provided by both the old guard and innovative new mapping platforms.

[O’Reilly Radar]

We often think of rivers as following a given path for the course of its life, but really, the path changes over time as the flow cuts into the earth. The water flows through old and new and back again. In 1944, cartographer Harold Fisk mapped the current Mississippi River. It’s the white trail. Then Fisk used old geological maps to display old paths. They’re the old colored paths. And what you get is this long run of windy, snake-like things. [Twisted History | Thanks, Michael]

Some people live in areas where a one-hour commute both ways is common, while others practically live across the street from their workplaces. Engineer slash designer Harry Kao has an interactive look at commuting by zip code:

In Traffic: Why We Drive the Way We Do (and What It Says About Us), the author states that commute times throughout history have remained steady at roughly a half hour in each direction. Advances in transportation technology (our feet, horses, bicycles, trains, automobiles, flying cars, etc.) allow us to live farther from where we work. This got me thinking about my own commute from Berkeley to San Francisco, how it compares to those of my neighbors, and how commutes vary across the country.

Using commute data from Census Transportation Planning Package and travel times from the Google Maps API, an interactive map lets you see where people in your area commute to or from. Enter your zip code and explore.
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Your email says a lot about who you are, who you interact with, and what you’re up to at any given time. Maybe it’s receipts from that online travel site or notifications from Facebook. There are lots of tidbits you can extract from your inbox. But how? PhD candidate Bill Zeller provides you with Graph Your Inbox.
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Online dating site OkCupid continues their run of amusing yet thorough analysis of their users. This time: the real stuff white people like. Well actually, the stuff that all races like:

We selected 526,000 OkCupid users at random and divided them into groups by their (self-stated) race. We then took all these people’s profile essays (280 million words in total!) and isolated the words and phrases that made each racial group’s essays statistically distinct from the others’.

Top phrase for white males? Tom Clancy. White female? The Red Sox. Black males? Soul food. Black females? Soul food. Asian males? Taiwan. Asian females? Coz. Yeah, I don’t know what that is either.

[Thanks, John]

In a different take on the infographic, RSA Animate illustrates the ideas and concepts proposed by invited speakers at RSA lectures. A recorded audio version lecture runs in the background a hand, possibly the same hand who played Thing on the Addams Family, draws what the lecturer is saying.

Below is the illustrated version of Professor Phillip Zimbardo’s lecture on the secret powers of time. The original video of Zimbardo speaking at a podium follows. Same message, but very different visuals.
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Blend Interactive maps points of control for the Web 2.0 Summit in the style of the Risk board game. Areas of the Web are shown as continents, and countries are the areas where major players have “claimed.” Click on the movements button to see what areas each company has ventured in to, and click on icons to get more info. A more neutral-colored map might have benefited the paths and icons, but it’s still fun to look at. And yes, the geography of the map is fake.

[Web 2.0 Summit | Thanks, KM]

I know you were confused about Muppet names. I hope this venn diagram helps you figure things out and you can get on with your life. [via | Thanks, David]

Far better an approximate answer to the right question, which is often vague, than an exact answer to the wrong question, which can always be made precise.

—John Tukey

Too many slots. Too many buttons. Spanish bank BBVA and design consultancy IDEO rethink the ATM:

ATMs were first introduced over 40 years ago and since then many features have been incrementally added to the machines, in order to fulfill the dream of a truly “automated teller”. Modern ATMs offer a wide range of banking transactions; nevertheless the actual interaction has remained largely untouched.

Fewer slots. Fewer buttons. More privacy and personalization.

[via]

Foursquare, the location-based social network, lets people share their location with others in the form of checkins. Map all of those checkins, and you get a sense of social hotspots across a city. This is what Anil Bawa-Cavia did in his project archipelago. Based on 845,311 checkins and 20,285 locations, he mapped activity for New York, London, and Paris.

In these maps, activity on the Foursquare network is aggregated onto a grid of ‘walkable’ cells (each one 400×400 meters in size) represented by dots. The size of each dot corresponds to the level of activity in that cell. By this process we can see social centers emerge in each city.

Here are the maps for each city.
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Using data from a recent Gallup report showing a correlation between wealth and faith, Charles M. Blow reports in graphic form. Each sphere, sized by population, represents a country. Spheres are colored by dominant religion in that country.
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There are a bunch of college ratings out there to help students decide what college to apply to (and give something for alumni to gloat about). The tough part is that there doesn’t seem to be any agreement on what makes a good college. Alex Richards and Ron Coddington describe the discrepancies.
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