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Tag Archives: Information Visualization

Moebius Transformations, Explained

Douglas N. Arnold and Jonathan Rogness at University of Minnesota provide an explanation for Moebius transformations that is elegant and clear, with the rare but crucial “ah-ha” moment. I get it.

Monospace Fonts: Too Much is Never Enough

Living in monospace type will make you a connisseur. Inconsolata is one of the best I’ve seen. The curves are lovely, and the effect clean and legible. See the attached preview image.

The Gapminder World, 2006

Gapminder is a non-profit venture for development and provision of free software that visualise human development. Google Tools is hosting an amazing visualization of per capita income against life expectancy. Animation + clear visualization = crazy delicious.


imgiMmevQ.jpg

Tufte Zen

US Federal Budget, Visualized

An outstanding visualization of the federal budget, complete with zoomy interface.

Budget Graph

Network of Amazon Products




Amaznode uses the “customer who bought this also bought” data from Amazon to generate a graph of product relationships.

Future-Proof Warning Signs

Ten thousand years from now, the last remaining momument of the U.S. military-industrial complex could well be the Waste Isolation Pilot Plant. And it will be marked by an elaborate keep-out sign. Planners building underground storage for radioactive military waste hope to develop a universal warning system that will communicate its message to future societies, regardless of language, custom or even species.

[Wired]

Pantone Matching In The Wild

A flickr collection of real-world Pantone colors.

dimvision’s musicmap

dimvision provides clicky-clicky directed graphs of music albums. A really lovely interface, like what Last.FM wants to be when it grows up.

Google Dreams of Electric Sheep

Dreamlines is an attempt to visualize dreaming as a process. Provide the site a few keywords from your dream, and Dreamlines fetches the Google Image results for those words. Instead of displaying the results, the images are used to alter the vector of 1500 autonomous particles, whose trail composes the image you’re shown when the process is complete. Confused? Try reading the official explanation instead. [via Info Aesthetics]