I'm glad that I didn't buy it. Siden første utgave kom ut i 1983, har den blitt sett på som en tidløs klassiker og bestselger innen informasjonsgrafikk. Edward Tufte, Envisioning Information, pages 108 and 109. … The purpose of all three is to explain both good and bad ways of explaining information but they are so much more than that. His books, including this one, are artwork disguised as a textbook. You may find it strange that I look upon this book almost reverentially, for it is merely an exposition of what constitutes good graphic design for data visualization. I found out later that he had self-published this title because no printer or publisher he approached wanted to do the pop-up and he was determined to have it. Goodreads helps you keep track of books you want to read. To see what your friends thought of this book, Try Python. He would even make me quantify how intensely I should‘ve just used a table by calculating his „waste of ink“ data-ink ratio. Python has a massive support system and. Interesting subject matter but incredibly pompous author. to himself. anyone who has to illustrate a report or presentation, Well, 3 1/2 stars, really, but GoodReads won't permit that. Like “I have stared long enough at the glowing flat rectangles of computer screens. There is a rich history interwoven in the books' pages. The principles of … Without a copy of an earlier printing of the same edition, I cannot comment on whether other changes are present or absent; this was the only chapter where I noticed data or examples that post-date the original second edition printing. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. A pioneer in data visualization, Edward Tufte, wrote a series of books – Visual Explanations, The Visual Display of Quantitative Information, and Envisioning Information – on the subject of information graphics. tags: data-representation, design, visual-display. Detection of graphical deception: design variation vs. data variation. Never was a dude so salty about bad graphs and bad data. Refresh and try again. However, this is no ordinary exposition: Edward Tufte is unquestionably one of the masters at the forefront in this task, and he does a thorough job of describing some heuristics and "laws" for what make good graphs, plots, maps and so on. Chapter 8 contains examples and data from 2003 and 2004, as well as ending with a data point from 2009! The principles should not be applied rigidly or in a peevish spirit... and it is better to violate any principle than to place graceless or inelegant marks on paper. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. M. Ruder (Heidelberg University) Visual Display of Quantitative Information … "One visionary day. Slik lyder tre av omtalene av Edward Tuftes The visual display of quantitative information. He held them in hotel ballrooms throughout the United States, and his followers attended with cult-like repetition, sometimes registering for the same course 6 times in one year. Aesthetics and data graphical displays. BOSTON GLOBE, "Original, beautifully presented, sharp Most of Tufte's critiques of ugly and dishonest data visualisation have been long internalised, in our age of 538 and "data journalism". These examples form the basis for a set of now-canonized principles. Edward Tufte knows a thing or two about chart design, to say the least (he's built a second career on this obsession). Read this book if you're looking for some history on the subject of plotting data, and plenty of opinions from the (well-respected) author. Not certain I agree with all ideas (yet? Most principles of design should be greeted with some skepticism." The reason I bring this up is a discrepancy not mentioned anywhere in/on the book or on any website I could find. The Visual Display of Quantitative Information, by Edward R. Tufte Figure:Tufte 2001, originally published in 1983. A must read for anyone involved in presenting technical information. Edward Tufte, the author of these three highly acclaimed books on statistics, information display systems, and visual communication, is a statistician and political scientist who taught at Princeton and Yale Universities. 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