Graph. From Art to Apps: Data Visualisation finds a purpose. Author: Jim Carroll, Chairman, BBH London I recently attended an excellent Made by Many event hosted at BBH which featured a re-presentation by Manuel Lima of his 2009 TED talk on data visualisation. Manuel is the curator of visualcomplexity.com and is an eloquent, modest, charming pioneer in this fascinating field. As a novice myself, I could not help wondering why we are all so immediately and instinctively attracted to the best of data visualisation.To start with, I’m sure there is some fundamental truth that for most of us data become meaningful only when we can see scale, change, patterns and relationships. Seeing is understanding. It’s also very reassuring to discover that complex, seemingly chaotic data sets and networks can be expressed as elegant, colourful, ordered maps and models.
Indeed the best examples of data visualisation have their own aesthetic beauty. Like spirograph, but better: Email map by Christopher Baker No harm in that perhaps. So, this is progress indeed. Jeffrey heer. 175+ Data and Information Visualization Examples and Resources. Things wordy, geeky, and webby Since taking a class that discussed Edward Tufte‘s work, I’ve been fascinated by turning information into visual data. His site contains many examples that you could easily spend hours on the site. I have. Plus, I spent several days browsing sites with articles, resources, and examples of infovis (information visualization) in action.
It’s not just about presenting data in a presentation or making things colorful. It’s a struggle for me as I haven’t practiced this process or created any charts in a long time. Updated: 9 February 2013 ShortURL to this post: Examples 5 Amazing Infographics for the Health Conscious10 Outstanding Social Media Graphics10 Revealing Infographics about the Web10×10 is “100 words and pictures that define time.”35 Great Social Media Infographics3D Animation of Linux Code Development7 Nights of Bright Eyes article and accompanying visual analysis of Conor Oberst.AInews.org: Note the .org! Blogs Resources. The Diagramming Company. InfoVis CyberInfrastructure- Software. Software This page provides pointers to commonly used data analysis and visualization algorithms. An 'IVC Software Framework' was implemented to facilitate the easy integration of diverse software packages and their menu driven usage. Many software packages are available in Java and hence can be run on any platform that supports Java 1.4.
Most software packages come with Algorithm Description Pros & Cons Sample Applications Implementation Details Usage Hints References Acknowledgments The Information Visualization CyberInfrastructure (IVC) software framework extends the original Information Visualization Repository (Börner & Zhou, 2001). While the algorithms might be developed by different researchers and implemented in different programming languages (e.g., Java, Perl, C, C++) using different graphics, math or other packages the IVC framework facilitates the seamless integration of those algorithms into a unified software package. DOWNLOAD The software runs on and NICE stemmer. Many Eyes : About Many Eyes.