While browser plugins like Rapportive tell you the social networks that people in your email belong to, Inbox Influence, from the Sunlight Foundation, uses their data from Influence Explorer, Transparency Data, and Party Time to show a different type of network in your inbox.
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Some people use a passcode on their iPhones simply to prevent their kids from mucking around with it or accidentally calling the police. Others use it for actual security reasons — because there’s private information on your phone that you wouldn’t want a stranger to have access to. If you’re in the latter group, hopefully you use a passcode that isn’t easy to guess.

Daniel Amitay, developer of the Big Brother Security Camera app (now removed from the App Store), added some code to the app to record user passcodes anonymously. Here are his findings.
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Accompanying an article on the changing family dynamic, The New York Times provides an interactive graphic that lets you see how many households in America are like yours.

You start with the primary residents in your household such as single male or married couple, and then add those who live with you, such as a parent or child. The graphic updates as you do, showing the U.S. count and percentage on top and the breakdown by time, race, and household income on the bottom. Simple and straight to the point of interest.

[How Many Households Are Like Yours?]

Some little birds told me that they received their “coming soon” notifications from Amazon about Visualize This. Exciting. (Thanks, pre-orderees :). I just got the PDF of the book not too long ago, but I can’t wait to get the physical copy resting in my hands. Paper! In anticipation of the upcoming release, I’ve posted some previews of what you can expect.
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A lot of fun and interesting projects seem to spring up when you force students to sit down and work (or else they fail), and with summer break just about in full swing, many of these projects are going up online now. For example: Professor Golan Levins’ students’ projects at Carnegie Mellon:

Thirty students, spanning eight departments, created personal research investigations into arts-engineering, freestyle computing, and new media practice. These projects explored experimental interfaces, information visualization, games, real-time audiovisuals, computationally generated forms, interactive robotics, 3D scanning and depth imaging, crowd-sourcing, physical computing, and many other topics.

The above image is a shot of James Mulholland’s take on the family tree.
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Trulia Insights sure has been having fun lately. In their most recent dig into housing trends, the team maps international searches for American homes.
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Terrance Chang shows us flight patterns at San Francisco International Airport using long-exposure photography so that over time, you can see where airplanes take off from and land.

It’s true. Anything that moves at night and emits light is bound to be interesting via long-duration shutter speed (e.g. a Roomba, fireflies, and WiFi networks).

Catch the full set of photos here, which are also available as prints.

Gold star if you can think of other interesting paths or phenomena that’d look amazing via long-exposure.

[Airport via @dpatil]

This seems obvious, but apparently there are people who are unsure of what to do with Twitter and social norms. Now you know. Thanks, Good Magazine for your clear guide.

[GOOD | Thanks, @unchillbill]

Digital artist Jer Thorp discusses the algorithm and tool used to arrange 9/11 victims’ names based on who they were with when they died. The process started with the collection of data.
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In an effort to decrease obesity and improve general health, the US government announced their newest guide to food proportions: the food plate. This of course is a departure from the food pyramid that has been around in one form or another since the 1990s. Instead of slivers or sections on a pyramid, we now have a pie chart type of thing. Well, more like a Simon.

So here’s the question: Does the plate work better than the pyramid?
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Slate puts together a rough analysis of RottenTomatoes actor and director career ratings. They plot average ratings for films in general, actors, and directors, which aren’t all that useful, but the Career-o-matic is fun to play with. Punch in a name and see the ratings over time.

[U]se Slate’s Hollywood Career-o-Matic tool below to map the career of any major actor or director from the last 26 years. You can also type in more than one name to plot careers side by side. For example, Paul Thomas Anderson vs. Wes Anderson vs. Pamela Anderson. Mouse over the data points to see which movies they represent.

Poor M. Night Shyamalan is on the decline.

[Hollywood Career-O-Matic | Thanks, Laura]

As I’m sure you know, Sony has been having all sorts of data breach problems lately — namely a million passwords from the Sony Pictures site, 77 million accounts from the PlayStation Network, and nearly 25 million user accounts from Online Entertainment. I was curious how these recent attacks compared to the largest known data loss incidents, so I headed over to DataLossDB. Sony now holds spots #4 and #10 for largest breaches of all time. That can’t be good.
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A little over a week ago, Sony was hit yet again with another security breach — this time over one million passwords, that were stored in plain text, were released into the wild. Software architect Troy Hunt took a closer look at the dataset and found just how predictable people’s passwords are.
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Industrial architect Hyun-Seok Kim, known for eccentric yacht designs, uses Voronoi diagrams as his latest inspiration:

Still at the design stage, the 125-meter vessel is adorned with a complex lattice exterior that its designer, South Korean industrial architect Hyun-Seok Kim, says is based on an algorithmic diagram by Georgy Voronoy, a math professor who lived under the Russian empire during the late 1800s.

I can’t wait for the subsequent bar, pie, and treemap yachts. They will be glorious.

[CNN via @shiffman]

A good one from someone named Cody. I couldn’t figure out where this is actually from though.

Mike Knuepfel, a student in NYU’s Interactive Telecommunications Program, uses key frequency, according to Wikipedia, to build a keyboard sculpture. Taller keys equals higher frequency.

Conclusions – This was just a first go at trying to create a data driven 3d sculpture. I wound up scaling the keys a little bit too much in the vertical direction. The weight of the tall keys caused the towers to tilt at an angle. I plan on showing this prototype to a few people that will hopefully give me more ideas for new data sets to look at. I want to try and use the CNC for future data driven sculptures. I also want to try and include color into the sculpture somehow.

Not bad for a first run. My proposed next step: Sculpturize the entire computer. You’ve got your keyboard. Next use some tracking software for mouse button clicks, and then use this software to track the mouse pointer for a sculptured monitor.

[Keyboard Frequency Sculpture via Boing Boing]

Men and women are different. You know that. But do they tweet differently? Tweetolife is a simple application that lets you compare and contrast what men and women tweet about. Simply type in a search term or phrase and compare. For example, search for love, and 63 percent of tweets that contain that word were from women, based on the sample data collected between November 2009 and February 2010.
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Jeffrey Winter tests a hunch about links leading to philosophy on Wikipedia:

There was an idea floating around that continuously following the first link of any Wikipedia article will eventually lead to “Philosophy.” This sounded like a reasonable assertion, one that makes a certain amount of sense in retrospect: any description of something will typically use more general terms. Following that idea will eventually lead… somewhere.

Winter’s curiosity led to this simple mashup. Type in some terms in the search bar and see where those topics lead to. Lo and behold, they all reach philosophy somehow. The above was my own search for economy, poop, science, Forrest Gump, hamburger, and Chicago. Philosophy: the Kevin Bacon of Wikipedia.

[Xefer | Thanks, Nigel]

UX designer and consultant, Hunter Whitney, describes a good mindset as you start digging into data, with the end target of visualization. “Why might you want to collect data about something and are you sure you know what you really need? … How are the data stored? … How are they summarized (statistically) and modified? … How are the charts displayed, formatted, and presented in the context of the full interface?”

[UX Magazine | Thanks, Elise]

Pete Warden, for O’Reilly Radar, compares current data responsibilities with those of harbor masters from the Victorian era. Warden warns:

Specialists like us who can understand and interpret data are in a privileged position. Most people have an exaggerated respect for arguments expressed as numbers or visualizations, because they don’t understand how many assumptions and simplifications go into these creations. It’s our job to remember that and balance our enthusiasm about the power of our techniques with some humility about their limits.

In other words: You should learn statistics. You don’t have to go out and get a PhD, but it’s helpful to be able to think like a statistician, so that you know the right way to think about data.