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The Visual Display of Quantitative Information, 2nd edition [Hardcover]

Edward R. Tufte
4.6 out of 5 stars  See all reviews (14 customer reviews)

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The classic book on statistical graphics, charts, tables. 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. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

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Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews

4.6 out of 5 stars
4.6 out of 5 stars
Most helpful customer reviews
4 of 4 people found the following review helpful
4.0 out of 5 stars Useful, insightful, but same as 1983 edition Aug 15 2003
Format:Hardcover
Quite insightful, especially the historic perspective. The only difference between the newer and 1983 edition is color is added to a few of the charts.
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1 of 1 people found the following review helpful
4.0 out of 5 stars Clear and insightful, but could be more neutral Jan 19 2012
Format:Hardcover
Edward Tufte''s "'The Visual Display of Quantitative Information"' provides a very clear introduction to quantitative graphic design. Embedding graphic examples in the text allows the reader to immediately understand the concepts Tufte describes, even if the concepts are unfamiliar. Historical graphics (especially Playfair''s graphics) make the reading especially interesting, because they show the reader where the concepts of statistical data visualization originally come from. I also found that Tufte''s habit of including a conclusion to each chapter was very helpful, because it summarizes (often in point-form) the key points of the chapter. Clearly distinguishing important design points with indents, italics, and bullets also helped me remember them as I read through the book.

Tufte''s frequent comparisons with "'good"' and "'bad"' design allowed me to think about graphics in a more analytical way. His emphasis on simplicity and efficiency also made me consider my own work. I found that some of Tufte''s principles can be applied beyond visual representations: in writing, for example, the author can strive for greater clarity without cluttering their sentences with an elaborate writing style. (In graphic design, this would be similar to eliminating chartjunk.)

Tufte, from his introduction and his writing style, is obviously very passionate about the integrity of data graphics. He often expresses outrage over the data distortion that some designers introduce in overly-artistic graphics, and denounces the attitude artists have towards data graphics (they have "'contempt"' for the visualizations). While distorting data is a serious offence, I found that his use of language in describing inefficient graphics was itself often overly negative, sometimes to the point of being distracting. If one of Tufte''s main principles is that the design should not distract from the data itself, then perhaps he could have used a slightly more neutral writing style to in order to more clearly convey his principles.
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5.0 out of 5 stars Deeply insightful, delightful, and down to earth April 14 2012
Format:Hardcover|Amazon Verified Purchase
A truly great and ground-breaking book. It was as much a pleasure to read again in 2012 as it was the first time I encountered it 25 years ago. Its analysis and advice are at least as relevant now as they were at the original publication date. (A few examples from the "computer era" are visually dated, but you can see slicker versions of the same problems and errors all over the web and on mobile device apps.)

For those who don't know the book, it is an analysis of what makes a truly great presentation of quantitative information work -- where the meaning of "truly great" includes easy to examine, easy to understand, multi-levelled (you can get information at various levels of detail just by how you look at it), accurate and informative (not misleading), visually beautiful, parsimonious, and inviting or intriguing. It invites and challenges the reader to think about how data presentation can be designed for the user to get the most out of it with the least cognitive load, misunderstanding, and distraction, and the maximum of delight and engagement.

The design and presentation of the book exemplifies its message, with diagrams and examples integrated with the text so that each reinforces the other, and a graceful and helpful use of typography and text layout to bring out the important messages. Tufte is an engaging and personal writer, and he is direct about what he likes and doesn't like and why. Because he is insightful, brilliant, and witty, his prose style too is part of the book's appeal.

An essential on the shelf of anyone concerned with communicating complex information visually, including people like me who design software user interfaces.
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Most recent customer reviews
5.0 out of 5 stars Good Service
Book came quickly, no damage. Great textbook for any scientist. Would definitely buy from user again. Will buy other books from author as well.
Published 19 months ago by YupMan
1.0 out of 5 stars Overhyped garbage with very little useful information
Tufte is the authority on graphs and the visual display of information. I read rave after rave about this guy on different websites. He taught at Yale and all that. Read more
Published on May 11 2003 by A. Baker
5.0 out of 5 stars Worth its weight in gold.
I was genuinely impressed by both the quality and richness of this and Edward Tufte's two subsequent books (Envisioning Information and Visual Explanations). Read more
Published on May 6 2003 by Frederic Horst
5.0 out of 5 stars a great book for aficionados of this stuff
well, it is an esoteric topic, to say the least.
But, this is the "Classic Work" in the field of presenting data, so if that is your thing, you should have this... Read more
Published on Jan 5 2003 by Alfredo
5.0 out of 5 stars Everything is perfect in this book, including paper quality.
We offered this book to friends who share with us the artistic beauty of scientific drawing. Like for software programming, we believe in aesthetics beauty in scientific work. Read more
Published on Sep 29 2002 by www.delalonde.com
5.0 out of 5 stars Enjoyable, read more
Simply Enjoyable, and not within the Context of a book on Graphical Statistical Analysis(This is a great Work at any scale). Read more
Published on July 19 2002 by Greg
5.0 out of 5 stars Enjoyable, read more
Simply Enjoyable, and not within the Context of a book on Graphical Statistical Analysis(This is a great Work at any scale). Read more
Published on July 19 2002 by Greg
5.0 out of 5 stars 1st edition compared to 2nd
Years ago, I purchased the first edition of VISUAL DISPLAY OF QUANTITATIVE INFORMATION. The second edition provides high-resolution color reproductions of the several graphics... Read more
Published on Mar 1 2002 by S. M Marson
5.0 out of 5 stars Superbly thought provoking
I divide my graphics work into two categories: BT (Before Tufte) and AT (After Tufte). I rarely acknowledge any involvement of a publication from those dark BT days. Read more
Published on Sep 24 2001 by loce_the_wizard
5.0 out of 5 stars Different from my usual tastes
Unlike many books I've read, this book is worth owning as a reference. In many ways, Tufte strikes a masterful balance between detail and abstraction. Read more
Published on Aug 28 2001
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