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A few days ago, the Sunlight Labs blog put a post up, titled " Should data.gov Visualize? Probably Not " [sunlightlabs.com]. In terms of provoking you to read, I have copied their title for this post as well.
Data visualization and all things related continued its ascent this year with projects popping up all over the place.
“If you can’t explain it simply, you don’t understand it well enough.”
Written by Amy Balliett of Killer Infographics, the post in question is basically tips for how to create linkbait that doesn't work. Or at least I hope it doesn't. Let's take it from the top. Infographics are visual representations of information, or "data viz" as the cool kids call it these days. The term "data viz" comes from "data visualization," which implies that sets of data will be displayed in a unique way that can be seen, rather than read. I'm not going to get into the semantics .
Now that Obama's dog has won the War on Christmas, or something, it's time to get down to a war that really matters: the war on terrible, lying infographics, which have become endemic in the blogosphere, and constantly threaten to break out into epidemic or even pandemic status. The reservoir of this disease of erroneous infographics is internet marketers who don't care whether the information in their graphics is right ... just so long as you link it.
9 Powerful Free Infographic Tools To Create Your Own Infographics A Do-It-Yourself Guide to Infographics Infographics are everywhere, and we can’t get enough of them! By presenting information in a compact and creative format, infographics are able to quickly convey knowledge and engage its viewers.
We get a lot of infographic pitches. Almost all of them suck .
There’s a growing backlash against that form of content known as the infographic. Useless eye-candy or handy reference? Om Malik, in a post, asks: Can someone please stop the infographic madness?
In the words of Terrell Owens, get your popcorn ready, because this video (below) is awesome. During his Knight Journalism fellowship at Stanford, Geoff McGhee interviewed visualization trendsetters on how they deal and what they do with data in Journalism in the Age of Data :
Infographics on the web are so bad and so broken . They are everywhere, yet few actually do a decent job of conveying information (click on the one at left to see what I mean). Some even argue that they are ruining the Internet .
Abstract Our goal is to reveal temporal variations in videos that are difficult or impossible to see with the naked eye and display them in an indicative manner. Our method, which we call Eulerian Video Magnification, takes a standard video sequence as input, and applies spatial decomposition, followed by temporal filtering to the frames. The resulting signal is then amplified to reveal hidden information. Using our method, we are able to visualize the flow of blood as it fills the face and also to amplify and reveal small motions.
<a href="http://a.tribalfusion.com/i.click?site=GrandPrixcom&adSpace=ROS&size=300x250&requestID=281798365" target=_blank><img src="http://a.tribalfusion.com/i.ad?site=GrandPrixcom&adSpace=ROS&size=300x250&requestID=281798365" width=300 height=250 border=0 alt="Click Here"></a> Sauber cutaway car The Sauber team has come up with an interesting way to show a Formula 1 car from a new angle - by cutting it in half down the middle.
chart_6 by settka, via Flickr by settka Soviet Magazine Техника-молодежи "Technology-Youth" by P-E Fronning An undated lesson sheet from Mexico teaching rabbit dissection.
In conceptualizing and exploring the city we rely a range of smaller areas—neighbourhoods, boroughs, wards and districts—in order to make urban space intelligible. While we can readily discuss how neighbourhoods are shaped by physical geography (topography, adjacency to lakes or rivers, etc.), ordinance (zoning, access to public transit) and economics (real estate prices, average resident income), machine learning does not really spring to mind when we are considering how we might define ‘a neighbourhood’. Livehoods is a new project hatched within the School of Computer Science at Carnegie Mellon University that leverages 18 million Foursquare check-ins to draft up new urban ‘activity zones’ based on the patterns of frequent visitors.
The Wikileaks war logs: every death recorded. Get Bigger version