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Eric Blue's Blog » Blog Archive » Dataesthetics: The Power and Beauty of Data Visualization
The New South Wales Systems Biology Initiative | Downloads | Interactorium
"The Interactorium is a platform built to visualise very large interactome datasets. Developed in collaboration with the School of Computer Science and Engineering at the University of New South Wales, it is adapted from the Skyrails Visualisation Engine, which was originally developed by Yose Widjaja. "
7 Beautiful Data Visualizations (With Videos)
"Data visualizations can be gorgeous, but images often don't do them justice, especially if we're talking live, real-time visualizations (some of which require a lot of processing power and can't even be run on a regular desktop computer). We've dug out 7 videos of awesome data visualizations you simply must see. "
Processing 1.0
"Processing is an open source programming language and environment for people who want to program images, animation, and interactions. It is used by students, artists, designers, researchers, and hobbyists for learning, prototyping, and production. It is created to teach fundamentals of computer programming within a visual context and to serve as a software sketchbook and professional production tool."
Fidg't: Your Social Networking Address Book
Explore your network with the Fidg't Visualizer*\n\nThe Fidg't Visualizer allows you to play around with your network. You interface with the Visualizer through Flickr and LastFM tags, using any tag to create a Magnet. Once a Tag Magnet is created, members of the network will gravitate towards it if they have photos or music with that same Tag.\n\nThis simple mechanic lets you visualize your Network in a unique way, demonstrating its Predisposition towards certain things. What is more popular amongst people in your Network - rock or electronic music? Are photos of buildings more popular than photos of sunsets? Based on how your network reacts to those Tags, you might get an answer. The Visualizer also shows how your Network compares to a random sampling of the networks of other Fidg't users, letting you see how your network stacks up to others?
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