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Edward R. Tufte

The Visual Display of Quantitative Information Hardcover – 31 Jan. 2001

by Edward R. Tufte (Author)

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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. This 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.

Print length

190 pages
Language

English
Publisher

Graphics Press USA
Publication date

31 Jan. 2001
Dimensions

27.94 x 22.86 x 2.54 cm
ISBN-10

9780961392147
ISBN-13

978-0961392147
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Product details

ASIN ‏ : ‎ 0961392142
Publisher ‏ : ‎ Graphics Press USA; 2nd edition (31 Jan. 2001)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 190 pages
ISBN-10 ‏ : ‎ 9780961392147
ISBN-13 ‏ : ‎ 978-0961392147
Dimensions ‏ : ‎ 27.94 x 22.86 x 2.54 cm

Best Sellers Rank: 244,108 in Books (See Top 100 in Books)
- 231 in Mathematical Analysis (Books)
- 241 in Social Sciences Statistics & Research
- 281 in Mathematical Probability & Statistics

Customer reviews:
4.7 790 ratings

About the author

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Edward R. Tufte

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Statistician/visualizer/artist Edward Tufte is Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 5 classic books on data visualization.

The New York Times described Tufte as the "Leonardo da Vinci of data," and Bloomberg as the "Galileo of graphics."

Having completed his book Seeing With Fresh Eyes: Meaning, Space, Data, Truth, ET is now constructing a 234-acre tree farm and sculpture park in northwest Connecticut, which will show his artworks and remain open space in perpetuity.

He founded Graphics Press, ET Modern Gallery/Studio, and Hogpen Hill Farms.

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M.I.

Interesting point about graphical data integrity

Reviewed in the United Kingdom on 11 March 2010

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This book provides suggestions and ideas about how to represent data in a graphically meaningful and elegant way. The focus is set on how to maximize the information shown without producing chartjunk, in order to reveal the meaning and the complexity of the data in a visually effective way. Guidelines are given for producing better graphics, such as maximising data ink and erasing non data one, and many examples of good and bad graphics taken from present and past scientific literature following such guidelines are shown. I found interesting the point made by the author about graphical data integrity, which means that graphics are supposed of telling the truth and not distort graphically the information content. The sizes of the graphical elements shown must represent the magnitude of the data correctly, without distortions. On the contrary, nowadays graphics published in newspapers and magazines often lack such integrity, and the message conveyed by the data is altered and telling a lie. Readers aren't usually aware of such subtleties! In conclusion, anybody dealing with scientific data and its representation should own a copy. Well done!

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Michal

I'm half way through and amazed by this book and its design

Reviewed in the United Kingdom on 28 January 2017

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I'm half way through and amazed by this book and its design.

The examples are facinating, the text is short and to the point. It's written very well and points out very important for analyst, a journalist or even designers or people writing a book looking into how to arrange the text along with graphics.

Since it is about design and telling the story better with graphs - you can count on the pages to be remarkably designed. It feels a lot of though was put into the design of this book. The diagrams and graphps are arange perfectly on the pages and it's so well thought out - it's like nothing I've seen before. The amount of thought that was put into this book makes me feel the author thinks a lot of his reader. Reading it is a great experience.

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AK

A must read for anyone regularly graphically presenting quantitative information

Reviewed in the United Kingdom on 3 November 2009

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The book is simply stunning. It consigns most of the graphical designs of the consulting industry into the dustbin of bad practice and presents some slightly unconventional alternatives, which actually do look more compelling on second thought. The standard rules of avoiding lie factors in graphics, maximising the data / ink ratio, the integration of graphics and text are all spot on and show how statistics, when done right, is far from boring, tending far more towards the fascinating instead.

The book also provides some splendid examples of good graphical design, shockingly most of them fairly old - i.e. the field did not progress nearly as much as should be expected, with most of the progress being pre-20th century, with several unfortunate steps back from the 1920s to 1970s (shown as well). Another interesting facet is the historical development of methods for presenting quantitative information, which is interesting in its own right.

This book should be essential reading for anyone who relies on visually presenting quantitative information and is an absolute must in management consulting.

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James Oldfield

Buy this book, but do not read it

Reviewed in the United Kingdom on 7 December 2013

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This book has good and bad aspects. First let me look at the bad part: the text Tufte has written. The problem is, most of it is founded on a single principle: maximise the information-to-ink ratio. Now as a scientist myself, this sounded like a great idea. It would not just improve your graphs (and similar diagrams), but do it in a fairly systematic way. Why add more stuff to your graph if it doesn't add any more information? It will only confuse the reader for no benefit. It seems so simple. So obvious. And yet it is 100% wrong.

The problem with this idea is that it is based on a fundamentally flawed view of human perception. We don't just see individual blobs of inks (or darkened pixels), so that adding more makes it harder. Instead we see the various shapes they form (search the web for "Kanizsa's triangle"!), and we should be aiming to reduce the complexity of this. For example, if you have several graphs next to each other, then putting a box around each will keep them visually distinct, so you can focus on one at a time with no conscious effort. If you leave out the bounding boxes then they become a jumble of tiny objects that take some effort to group visually. A very small amount of effort, admittedly, but you've made it harder for no reason. But Tufte HATES putting boxes around things! After all, you've certainly added more ink, and added no more information, so by his flawed rule you have made things unambiguously worse.

So now for the good. Why should you buy this book if not to read it? Because it is filled with pictures representing data from a myriad of sources. Some of them are effective, some are not. Some are beautiful, some are ugly. All are worth reflecting on.

In conclusion: Ok, I exaggerate when say "do not read it". Go ahead and read what has Tufte has to say, since it too is worth reflecting on. But make sure you bear in mind that everything he says is based on a flawed principle. So when he tells you that you should get rid of gridlines on a graph or in a table, consider whether it's really a good idea. Perhaps you shouldn't, or perhaps you should just make them lighter. Perhaps even, after all, you really should remove them. Just don't take his word for it that it's a guaranteed win.

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Conor Brown

Just a beautiful book

Reviewed in the United Kingdom on 1 April 2021

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The book is rich and textured in substance and style. One of the best books on the subject and one one of my favourite books to open.

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Ap Woods

Data Visualisation with style

Reviewed in the United Kingdom on 19 June 2015

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I bought this as a geek with a view to learning more about how to present data in a way that capitalised on the use of colour and so on (as an artists I make a good housebrick). This book is just the one I needed for that purpose. Furthermore, in and of itself, it is beautifully presented (IMO) which, on consideration, as a book on visual design, it should have been. I would recommend this book to anyone who needs a good grounding on visualisation of data.....

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The Visual Display of Quantitative Information Hardcover – 31 Jan. 2001

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