The Visual Display of Quantitative Information 2nd Edition

by Edward R. Tufte (Author)

247 customer reviews

ISBN-13: 978-0961392147

ISBN-10: 0961392142

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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.--This text refers to the Paperback edition.

--This text refers to the Paperback edition.

The Visual Display of Quantitative Information

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Product Details

Hardcover: 200 pages
Publisher: Graphics Pr; 2nd edition (January 2001)
Language: English
ISBN-10: 0961392142
ISBN-13: 978-0961392147
Product Dimensions: 1 x 9 x 11 inches
Shipping Weight: 2.5 pounds (View shipping rates and policies)
Average Customer Review: 4.4 out of 5 stars See all reviews (247 customer reviews)
Amazon Best Sellers Rank: #4,834 in Books (See Top 100 in Books)
- #2 in Books > Science & Math > Mathematics > Mathematical Analysis
- #8 in Books > Textbooks > Science & Mathematics > Mathematics > Statistics
- #9 in Books > Science & Math > Mathematics > Applied > Statistics

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Extremely well researched book on what makes good design.

ByDurand Sinclairon February 7, 2000

Format: Hardcover

You know what's so good about this book? The research, that's what. In showing both good and bad graphic design, Tufte has examples from as far back as 1686, and many examples from the 18th,19th & 20th centuries and from many different countries.
Good graphic design, he argues, reveals the greatest number of ideas in the shortest time with the least ink in the smallest space. Interestingly, some of the best examples of this come from the pre-computer era, when graphics had to be drawn by hand (and therefore more thought had to go into their design, rather than the author just calling up the Bar Graph template on the desktop.) For example, that picture you can see on the front cover of the book is actually a train timetable that packs a whole list of arrivals and departures at many different stations into a single little picture. A better example (and the "best statistical graphic ever drawn") shows Napoleon's route through Europe. It shows a) the map b) where he went c) how many people were in his army at each point and d) the temperature on the way back that killed off his army. At a glance you can see the factors that led to his army losing. AND it was drawn by hand in 1885 and is little more than a line drawing!
He also gives examples of really bad design, (including "the worst graphic ever to make it to print"), and shows what makes it so bad. His examples prove that information-less, counter-intuitive graphics can still look dazzlingly pretty, even though they're useless. In some examples, he shows how small changes can make the difference between an awful graphic and a really good one. My favourite example of this is how he drew the inter-quartile ranges on the x and y axes of a scatterplot, thus adding more information to the graphic without cluttering it up.
In summary, there's a lot more to good graphic design than being an Adobe guru. Reading this book made me feel like a more discerning viewer of graphics!

11 comment 276 people found this helpful. Was this review helpful to you?YesNo

1st edition compared to 2nd

BySteve Marsonon March 1, 2002

Format: HardcoverVerified Purchase

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 found in the first edition. In addition, corrections were made. However, to most readers/users, I doubt that the changes would be worthy of purchasing the second edition if one already owns the first edition.
Edward R. Tufte is a noteworthy scholar and the presentation of the material presented in this book is awe-inspiring. Tufte has also compiled two other books that can be best described as quite remarkable. These additional books are entitled, ENVISIONING INFORMATION and VISUAL EXPLANATIONS. All three of these volumes are not merely supplemental textbooks; they are works of art.
My intent was to use VISUAL DISPLAY OF QUANTITATIVE INFORMATION as part of teaching my statistics course. Students, but mostly faculty, are overly impressed with inferential statistics. Graphics play an important role in the understanding and interpretation of statistical findings. Tufte makes this point unambiguously clear in his books.
Two features of VISUAL DISPLAY OF QUANTITATIVE INFORMATION are particularly salient in teaching a statistics course. First, the concept of normal distribution is wonderfully illustrated on page 140. Here the reader is reinforced with the notion that in the normal course of human events, cultural/social/behavioral/ psychological phenomena usually fall into the shape of a normal distribution. The constant appearance of this distribution borders on miraculous. Just as importantly, it is the basis for accurate predications in all areas of science. Tufte's illustration (page 140) speaks to this issue much more clearly than a one-hour lecture on the importance of the normal distribution. Which goes to show -- once again -- "a picture is worth a thousand words." Sadly, the illustration on page 140 is small and in black and white. I wish the second edition included a larger reproduction of this photo. A color presentation would have been helpful.
Second, Tufte continues his unrelenting pattern to reinforce the importance and impact of illustrations in understanding complex concepts. In particular, page 176 demonstrates the impact of Napoleon's march to Moscow. The illustration is both profound and eerie. The reader is left with a feeling of death and pain for the foot soldiers...

33 comments 283 people found this helpful. Was this review helpful to you?YesNo

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Most Recent Customer Reviews

One Star

There was a disgusting smudge on the cover.

Published 9 hours ago by Alex

A Good Read on Data Graphics

I received this book for attending one of Tufte's presentations. He spends the first part of the book giving a rather brief history of data graphics, and then spends the remainder...Read more

Published 18 days ago by David Snyder

One of the best

Great book. Truly one of the best work ever on display of quantitative data.

Published 28 days ago by Java developer

Five Stars

awesome

Published 1 month ago by Tom

Five Stars

I got this for my Trading Profession and understanding visual Charts is CRUCIAL!

Published 1 month ago by Timothy

Very enjoyable and informative read

Easily the best book I have read all year -- certainly the most engrossing non-story work I have read in ages.Read more

Published 2 months ago by ThatTallGuy

The essential guide for using visual display accurately and effectively

Tufte has written several outstanding books. I bought this copy for our investment advisors because they, like so many people, were misusing graphs.Read more

Published 3 months ago by Skeptic

For those willing to look anew at what makes a graphic insightful

To me, Tufte's series of books on data visualization seem like the explorations of somebody who is beginning a new branch of science.Read more

Published 4 months ago by Aran Joseph Canes

A book that makes the reader more intelligent

Tufte sharpens every reader's eye.

Published 5 months ago by Amazon Customer

... on data visualization setting off a growing trend in beautiful and informative infographics

Edward Tufte literally wrote the book on data visualization setting off a growing trend in beautiful and informative infographics. Highly recommend.

Published 5 months ago by John

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