President Barack Obama delivered his State of the Union address yesterday, and this year it was “enhanced” by charts and graphs. Basically, as Obama spoke, graphics that you could equate to Powerpoint slides showed up on the side. What’d you think of the enhancement? Did it add or detract from the message? Were the graphics used honestly and effectively?

One thing’s for sure: there’s something wrong with that bubble chart. Uh oh.
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Cartographer Daniel Huffman has a look at swearing in the United States, according to geocoded tweets:

Isolines are based upon an interpolated surface generated from approximately 1.5 million geocoded public posts on Twitter between March 9th and April 12th, 2010. These data represent only a sample of all posts made during that period. Isolines are based upon the average number of profanities found in the 500 nearest data points, in order to compensate for low population areas.

The brighter the red, the more profanities used in the area, and the more black, the less swearing. Words looked for were (pardon my language): fuck, shit, bitch, hell, damn, and ass, and variants such as damnit. Honestly, I never swear like this. Unless some idiot pickup truck tailgates me going 80 on the highway in the middle of the night. That doesn’t count though.
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Foursquare has a look at their usage in 2010. I bet you were sitting there wondering how many peopled named Wendy checked in at Wendy’s during the year. It was 224, but there was only one mayor of Wendy’s named Wendy. What I really want to know though is if people named Wendy are more drawn to Wendy’s than non-Wendy’s. Or number of Nathans who eat too many hot dogs. Either-or.

[foursquare via Waxy]

LinkedIn has been having some fun with their data lately. They opened up the career tree a couple of months ago, and today they announced InMap to visualize your links as a network diagram. They call it InMap:

InMaps is an interactive visual representation of your professional universe that answers all of the above questions. It’s a great way to understand the relationships between you and your entire set of LinkedIn connections. With it you can better leverage your professional network to help pass along job opportunities, seek professional advice, gather insights, and more.

Below is LinkedIn’s chief scientist DJ Patil with a brief description of how it works.
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Nancy Duarte of Duarte Design has a look at Martin Luther King, Jr.’s “I Have a Dream Speech” and why it was so good:

MLK’s “I Have a Dream” speech is not only literarily brilliant, its structure follows the presentation form perfectly, by traversing back and forth between what is and what could be, and ending by describing what the new bliss of equality looks like. In addition, MLK carefully chooses phrases and metaphors that resonate deeply with his audience.

The transcript is placed on a timeline that follows the “presentation form” and color coded by use of metaphor, repetition, and political and scripture references.

[Video Link via Waxy]

It’s Friday. You might need this vintage-looking guide on how to play beer pong by Mel Marcelo. Remember not to use a lawnmower, a skull, or a toaster, and you should be okay. Safety first.

What day is it? Flowchart Friday of course. Old but new to me. Based on the Total Eclipse of the Heart flowchart, this one takes on Hey Jude. Don’t get stuck on an infinite loop of na na na na na na na na na…

[Love All This via Laughing Squid | Thanks, John]

Lockheed Martin’s Space Fence, expected to be in initial operation in 2015, will track the junk floating in space:

Space Fence is envisioned as a network of ground-based S-band radars that will detect, track, measure and catalog thousands of objects in low-Earth orbit. Expected to begin initial operation in 2015, the system will replace the existing Air Force Space Surveillance System, or VHF Fence, which has been in service since the early 1960s. A leader in S-band radar development, Lockheed Martin’s high-powered radar systems will find and follow the course of thousands of pieces of space debris to an accuracy of just meters.

They provide this video (below) to explain the concept, of which I’m pretty sure most of is fake, but let’s pretend it’s real. It’s more exciting that way.
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In their most recent video (below) to their “State of…” series, JESS3 takes a look at the State of Wikipedia:

The State of Wikipedia not only explores the rich history and inner-workings of the web-based encyclopedia, but it’s also a celebration of its 10th anniversary. With more than 17 million articles in over 270 languages, Wikipedia has undoubtedly become one of the most visited and relied upon sites on the web today.

It’s really light on the data and kind of fluffy, but Jimmy Wales narrates, so it’s worth it to watch just for that. For some reason I expected him to have a grittier voice. It must be the beard.
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Starbucks recently announced their next size up from 591-milliliter Venti: the Trenta. It’s 916 milliliters, which happens to be slightly more than the average capacity of the human stomach, as illustrated by Andrew Barr for The National Post.

I don’t know why everyone’s getting their panties in a bundle though. If it’s too big for you, then don’t buy it. Besides, 7-Eleven has Starbucks beat with their line of Big Gulp drinks ranging from 0.59 to 1.9 liters.

I’m thirsty.

[National Post]

This map, a collaboration between Good and Gregory Hubacek, shows three metrics from the most recent American Community Survey by the US Census: high school graduates, college graduates, and median household income. The goal was to see if there’s a correlation between education and income. Does it work?
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Data is rarely in the format you want it. Dan Nguyen, for ProPublica, provides a thorough guide on how to scrape data from Flash, HTML, and PDF. [via @JanWillemTulp]

Because you can never get enough videos to remind you how tiny you are compared to the rest of the world. Catch the video below. And a good MLK day to you.
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Focus too hard on individual points, and ignore what’s around, and you too might fall in the metaphorical fountain. Yes, this is my excuse for posting this hilarious video, and I’m sticking to it.
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Designer Jessica Hische gets her flowchart on to help you decide whether you should work on that project for free. In short, if the client is not your mom or a friend you owe big, they better pay up. Love the blunt honesty from Hische, who I’m sure gets all sorts of odd offers. See full flowchart here.

[Jessica Hische via @MacDivaONA]

Nick Foster has some fun with t-shirt classification after cleaning out his closet:

I have a T-shirt problem: after years of buying them, my house is now full. Whilst recently trying to tidy up the situation I realised that I was subconsciously categorising them.

Ten types are identified, although half of my shirts probably belong in the above three. I’m a bum. But I have golden voice.

[sleepinginmyhead via kottke]

According to polls from the Pew Research Center, the Internet gained on Television as the public’s primary news source in 2010. Poll results are shown in their graph below.

The graph isn’t too bad, but it’s kind of busy and could use some design. Can we do better? I think so. Here’s the data as a CSV file. Get your graph on, and link to your efforts in the comments below.
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When you invest in stocks, it’s not just what you invest in, but also when you put the money in and when you get it out. The New York Times explains with this grid diagram:

This chart at right shows annualized returns for the S.& P. 500 for every starting year and every ending year since 1920 — nearly 4,000 combinations in all. Read across the chart to see how money invested in a given year performed, depending on when it was withdrawn.

Darker red represents greater loss while darker green represents the greater gains. Tan color indicates more modest gains.

The method probably isn’t new, but it’s the first time I’ve seen it. I like it. I’ve only seen those “what if” calculators where you enter a value to see how it would’ve paid off. That only lets you see one scenario at a time. This type of chart lets you see multiple time spans at once.

[New York Times]

Haiti’s earthquake in 2010 was by far the most devastating in a long time. There were an estimated 222,570 casualties as a result. However, as Peter Aldhous shows in this graphic, the Haiti quake was not the most powerful.
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