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Michael Deal ◊ Graphic Design

Michael Deal ◊ Graphic Design
Ongoing study of Beatles through infographics, much of which is based on secondary sources such as sales statistics, biographies, recording session notes, sheet music, and raw audio readings. This graphic traces songwriting contributions by different band members (data based on authorial attributions quantified by William J. Dowlding in the book Beatlesongs Longwinded notes: Color patterns offer clues about the band's gradual fracturing as each member became more independent. Red stalks (signifying jointly written songs) decrease in the second half of the timeline; the split-color bars give way to solid bars of a single color. George Harrison also began to compose more music as he matured as a songwriter, shown by the increase in green bars (Lennon and McCartney's lack of support through Harrison's development is often cited as a factor contributing to the band's eventual breakup). Beatles lyrics contain a number of references to their own previous songs.

15 examples Data Visualization is a method of presenting information in a graphical form. Good data visualization should appear as if it is a work of art. This intrigues the viewer and draws them in so that they can further investigate the data and info that the graphic represents. In this post there are 15 stunning examples of Data Visualization that are true works of art. Click on the title or image for a larger view of each visualization. The Strengths of Nations Here’s an image that discusses the variations in how different nations pursue science. Madrid.Citymurmur CityMurmur tries to understand and visualize how media attention reshapes the urban space and city. Genome Jules & Jim This visual represents the relationship between characters in the movie Jules & Jim. One Week of the Guardian This is one day in a series that takes the news from one week of the Guardian newspaper, and visually represents it as a series of static visualisations. One Week of the Guardian Leisure & Poverty Stock Data Related Posts

Learn To Fucking Spell | I Am Paddy Picture a world famous surgeon. Absolutely everybody has heard of this talented individual. She's performed countless surgeries, saved so many lives. She's renowned the world over for being a miracle worker. The equivalent of that happens in the world of web design every second. You can be the greatest designer on the planet, have the most intriguing concepts out there, create wonderfully thought provoking experiences for your users, but if you type something like 'I've been freelancing for a number off years', you honestly look like a five year old. To take that to an even further level of embarrassment, many of these same individuals can also be heard proudly stating: How can you admit to that? I'm not talking about spelling the likes of 'Honorificabilitudinitatibus' but simply Never mind creating the most mind-blowing web experience imaginable, if there's an obvious spelling mistake in the middle of it, your credibility drops dramatically. So, enough of the ranting. fin

The Stories We Construct 50 Great Examples of Data Visualization Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music. Liveplasma is a music and movie visualization app that aims to help you discover other musicians or movies you might enjoy. Tuneglue is another music visualization service. MusicMap is similar to TuneGlue in its interface, but seems slightly more intuitive. Digg, Twitter, Delicious, and Flickr Internet Visualizations

Sleep Talkin' Man See What I Mean (Part 1) Edward Tufte Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Business Week as the "Galileo of graphics." Visual Display of Quantitative Information 200 pages Envisioning Information 128 pages Visual Explanations 160 pages Beautiful Evidence 214 pages Same paper and printing as in original clothbound editions. All 4 clothbound books, autographed by author $150 Available directly from Graphics Press. Die visuelle Darstellung quantitativer Informationen, (200 Seiten), $12 数量情報の視覚的表示, (200 ページ)、$12 A exibição visual das informações quantitativas, (200 paginas) $12 Visualizzare l'informazione quantitativa, (200 pagine) $12 La représentation de l'information quantitative, (200 pages) $12 La Representación Visual de Información Cuantitativa, (200 páginas) $12

Tyson McAdoo - Work - Ladies Information Visualization Manifesto Posted: August 30th, 2009 | Author: Manuel Lima | Filed under: Uncategorized | – “The purpose of visualization is insight, not pictures” Ben Shneiderman (1999) – Over the past few months I’ve been talking with many people passionate about Information Visualization who share a sense of saturation over a growing number of frivolous projects. The criticism is slightly different from person to person, but it usually goes along these lines: “It’s just visualization for the sake of visualization”, “It’s just eye-candy”, “They all look the same”. When Martin Wattenberg and Fernanda Viégas wrote about Vernacular Visualization, in their excellent article on the July-August 2008 edition of interactions magazine, they observed how the last couple of years have witnessed the tipping point of a field that used to be locked away in its academic vault, far from the public eye. Even though a clear divide is necessary, it doesn’t mean that Information Visualization and Information Art cannot coexist.

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