RT @harrisj: I like that the Guardian's visualization of gay rights state-by-state is not anchored to a map view

firmitas, utilitas, venustas

Uncategorized gallery of almost all the possible visualization styles:

RT @johnmaeda: Like an infoviz "butterfly collection" made of JavaScript, curated by @mbostock. via @abenik

Oh my, yes. MT @jcukier .@datastories the site of the designer of your favorite IBA entry is really worth a visit

Martin Krzywinski

Super-delighted @stefpos is speaking at @eyeofestival. A great interview: . My Big ?: Will she learn to code at #eyeo???

Greg Elin of the FCC gave a colorful talk and was very encouraging to folks who want to do viz reminding them that they can start off small. “You needn’t write literature when you’re literate and can type a memo,” he quipped, meaning that there are people who make gorgeous visualizations (literature), but when you merely need to make a few key points, smaller steps may be all you need.

And it can assess the link-level impact of individual users. Who are the people, exactly, who drive other people to tweet about a link? That impact isn’t just a function of follower counts; in fact, often, the most-followed people don’t generate many retweets — possibly because their followers assume others have already seen the link. Project Cascade’s findings so far suggest, though, that it’s the people who are followed by the famous people who can drive a lot of retweet activity and drive discussions — “the deep, hidden influencers,” Zimbalist calls them, who can help news content have impact.

“These aren’t the kinds of things you would have seen in spreadsheets,” Porway notes. Static representations like spreadsheets don’t demonstrate well the human connections behind content-sharing the way that a visualized, animated universe can. With a 3D representation of interaction, you can see how interest groups — both ad hoc and ongoing, weak-tied and strong — form around particular pieces, and varieties, of content. ”What we’re already beginning to see here,” Zimbalist says, “is these different clusters of people in these different vertical areas who are always out there talking about our content.”

Redundant encodings are not very common in visualization, but they often end up being useful, in particular when using visualization for presentation and communication.

Re: last tweet - I'm especially enjoying: and of course, Japanese steampunk watches

Round two for @computusengine temporal visualization links: (corrected). Try not to get lost in there.