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Visualization is the image presentation of knowledge -- portrayals intended to bare complicated details at a look. contemplate the usual map of the recent York urban subway procedure, or a diagram of the human mind. winning visualizations are appealing not just for his or her aesthetic layout, but additionally for stylish layers of aspect that successfully generate perception and new understanding.

This booklet examines the equipment of 2 dozen visualization specialists who technique their initiatives from numerous views -- as artists, designers, commentators, scientists, analysts, statisticians, and extra. jointly they display how visualization may help us make feel of the world.

• discover the significance of storytelling with an easy visualization exercise
• learn the way colour conveys details that our brains realize ahead of we're totally conscious of it
• observe how the books we purchase and the folk we go along with show clues to our deeper selves
• realize a style to the insanity of air commute with a visualization of civilian air traffic
• learn the way 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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Read Online or Download Beautiful Visualization: Looking at Data through the Eyes of Experts (Theory In Practice, Volume 39) PDF

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

Example text

It is only inside of a context that data is meaningful, and using the data as part of a story is an excellent way of allowing the data to make a lasting impact. The most effective information visualizations will make themselves a pivotal point in a story or narrative within the viewers’ (or users’) minds. Not every information visualization requires a story. Some are simply beautiful to look at and can exist merely as fine works of art. However, most visualizations have a goal or purpose and present their data in a meaningful way, in the context of some kind of story.

If you download the Excel files, you can open them up and see that the data is arranged first by vehicle category (with trucks first and cars second) and then alphabetically by vehicle make (Acura, Audi, BMW, and so on). In order to sort the data for our purposes, the easiest thing to do will be to categorize the data by vehicle make. Later, we will determine which makes correspond to the various countries in which the parent companies are based. ” If Excel asks you if you want to expand the selection, accept that option.

This creates an interesting balance (and hence a certain kind of drama) between the kinds of vehicles people wanted to get rid of and the vehicles they wanted to purchase. As we put together the data and visualization, we’ll keep this balance in mind and orient the visuals accordingly. With the question in hand, we have a solid basis for manipulating the data further by grouping and sorting it as guided by our question. Grouping the data This step takes a little bit of research. In order to group the makes by country, we need to find out which vehicle makes correspond to which companies.

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