Beautiful Visualization: Looking at Data through the Eyes of

Nonfiction 1

Visualization is the image presentation of knowledge -- portrayals intended to bare complicated info at a look. consider the regularly occurring map of the hot York urban subway method, or a diagram of the human mind. profitable visualizations are appealing not just for his or her aesthetic layout, but additionally for stylish layers of element that successfully generate perception and new understanding.

This e-book examines the equipment of 2 dozen visualization specialists who strategy their tasks from various views -- as artists, designers, commentators, scientists, analysts, statisticians, and extra. jointly they show how visualization might help us make feel of the world.

• discover the significance of storytelling with an easy visualization exercise
• learn the way colour conveys info that our brains realize sooner than we're absolutely conscious of it
• become aware of how the books we purchase and the folks we go together with display clues to our deeper selves
• realize a style to the insanity of air shuttle with a visualization of civilian air traffic
• learn how researchers examine unknown phenomena, from preliminary sketches to released papers

Contributors include:
Nick Bilton, Michael E. Driscoll, Jonathan Feinberg, Danyel Fisher, Jessica Hagy, Gregor Hochmuth, Todd Holloway, Noah Iliinsky, Eddie Jabbour, Valdean Klump, Aaron Koblin, Robert Kosara, Valdis Krebs, JoAnn Kuchera-Morin et al., Andrew Odewahn, Adam Perer, Anders Persson, Maximilian Schich, Matthias Shapiro, Julie Steele, Moritz Stefaner, Jer Thorp, Fernanda Viegas, Martin Wattenberg, and Michael younger.

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Additional info for Beautiful Visualization: Looking at Data through the Eyes of Experts (Theory In Practice, Volume 39)

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The success of this visualization is due to the fact that the designers were willing to move away from a standard, default map and instead create a visual representation based primarily on the relevant source data. The result is a highly specialized image that is much more accurate and useful for its intended purpose, even if it’s not very well suited for typical map tasks such as navigation. ) Conclusion While this has been a brief treatment of some of the strategies and considerations that go into designing a successful visualization, it is a solid foundation.

Hands-on Visualization Creation Now that we’ve covered the basics of information visualization in a general manner, let’s walk through the process of building a visualization. We’ll create a static visualization, commonly referred to as an infographic. To do this walkthrough, we will need the following tools: • Microsoft Excel (or Google Documents in a pinch) • Adobe Photoshop (GIMP, a free image-manipulation program, will also work) In order to replicate the process as closely as possible, I’ll walk through the discovery process in the order in which it actually happened rather than following the “Question-Data-Presentation” method described earlier.

Grouping it by car model seemed interesting at first, but this was somewhat tedious because the vehicles are grouped by engine and transmission type, so the same model might have several different entries. However, in the process of looking at the vehicles by model, I was struck by the fact that several makes had a fairly high number of trade-ins. I became curious to see if people were more eager to trade one make of vehicle over another, so I began sorting the vehicles by make. ” is a dangerous thing to do when creating a visualization.

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