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

by Edward R. Tufte (Author)
4.7 4.7 out of 5 stars 828 ratings
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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.
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  1. Print length
    190 pages
  2. Language
    English
  3. Publisher
    Graphics Press USA
  4. Publication date
    31 Jan. 2001
  5. Dimensions
    27.94 x 22.86 x 2.54 cm
  6. ISBN-10
    9780961392147
  7. ISBN-13
    978-0961392147
  8. See all details
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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
  • Customer reviews:
    4.7 4.7 out of 5 stars 828 ratings

About the author

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Edward R. Tufte

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 Visual Display of Quantitative Information (1983, 2001), Envisioning Information (1990), Visual Explanations: Images and Quantities, Evidence and Narrative (1997), Beautiful Evidence (2006), Seeing with Fresh Eyes: Meaning, Space, Data, Truth (2020).

The New York Times described Tufte as the "Leonardo da Vinci of data," Bloomberg as the "Galileo of graphics," and Nature as “The world’s leading analyst of graphic information.”

Having completed his most recent 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.

Customer reviews

4.7 out of 5 stars
828 global ratings

Customers say

Customers find the book very well written and amazing. They also appreciate the content, saying it points out important things for analysts. Readers also appreciate good graphical design and informative charts.

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Visual designContentReadability
12 customers mention ‘Visual design’12 positive0 negative

Customers find the book provides splendid examples of good graphical design. They also say it's a seminal book about statistical graphics, with careful layout and fascinating examples.

"...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...." Read more

"...ideas about how to represent data in a graphically meaningful and elegant way...." Read more

"...You will not be disappointed with this book. It is beautiful!" Read more

"...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..." Read more

11 customers mention ‘Content’11 positive0 negative

Customers find the book amazing, well-respected, and useful. They also say it has great examples and discusses the theory behind the methods. Customers also say the book is a great source of inspiration and points out important things for analysts.

"...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..." Read more

"...The book has great examples as well as discussing the theory behind the methods. You will not be disappointed with this book. It is beautiful!" Read more

"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." Read more

"well regarded classic on the subject, but a bit too old-fashioned style, avoiding colour as the tool for some reason...." Read more

4 customers mention ‘Readability’4 positive0 negative

Customers find the book well-written, informative, and well-designed. They also say it's a great experience to read and a good book to have.

"...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..." Read more

"The reproductions are wonderful and the text is informative. A great book to have and read. Get it now!..." Read more

"Well-designed book" Read more

"Nice printEasy to readFull of quality illustrationsA very good book to have.I would say worth the money." Read more

DO NOT buy this in Kindle format
1 out of 5 stars
DO NOT buy this in Kindle format
This is a seminal book about statistical graphics, in hard copy well known dor careful layout and graphical presentation.But as you can see from the attached photo, the Kindle version, read in the Kindle app, has not only messed up individual word layout, inserting random spaces mid-word; it has completely wrecked the graphs. In this example, no data points are visible at all. A book about statistical graphics in which the graphics are unreadable is utterly useless.Stay with the hard copy.
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Top reviews from United Kingdom

Michal
5.0 out of 5 stars I'm half way through and amazed by this book and its design
Reviewed in the United Kingdom on 28 January 2017
Verified Purchase
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.
2 people found this helpful
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M.I.
5.0 out of 5 stars 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!
3 people found this helpful
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Tommy
5.0 out of 5 stars Economists, econometricians and statisticians all need this book
Reviewed in the United Kingdom on 2 April 2011
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This book is perfect for anyone who must present data and information visually in their career. I am an econometrician and find this book, and others like it by the author, a great source of inspiration. The benefits of presenting information better should not be underestimated. The book has great examples as well as discussing the theory behind the methods. You will not be disappointed with this book. It is beautiful!
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Conor Brown
5.0 out of 5 stars 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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ReviewerX
4.0 out of 5 stars well regarded classic on the subject, but a bit too old-fashioned style
Reviewed in the United Kingdom on 31 October 2011
Verified Purchase
well regarded classic on the subject, but a bit too old-fashioned style, avoiding colour as the tool for some reason. Also, the focus is on putting as much information as possible to the same diagram, but not as much on making simple, high impact diagrams.
3 people found this helpful
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AK
5.0 out of 5 stars A must read for anyone regularly graphically presenting quantitative information
Reviewed in the United Kingdom on 3 November 2009
Verified Purchase
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.
19 people found this helpful
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Ap Woods
5.0 out of 5 stars 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.....
2 people found this helpful
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Paul Janka
5.0 out of 5 stars A Classic!
Reviewed in the United Kingdom on 29 May 2013
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The reproductions are wonderful and the text is informative. A great book to have and read. Get it now!

A classic for every thinking-man's shelf!
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Top reviews from other countries

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Praveen Vaddadi
5.0 out of 5 stars A classic
Reviewed in India on 23 December 2022
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A painstaking examination of visual thought, taking no data at its face value.
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Stephany
5.0 out of 5 stars Bien
Reviewed in Mexico on 29 June 2020
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Llegó muy bien y en poco tiempo
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Amazon Kunde
5.0 out of 5 stars Quick and correct. Happy with the book.
Reviewed in Germany on 27 January 2020
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Quick and correct. Happy with the book.
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ChrisBH
5.0 out of 5 stars Great insights, excellent principles, a bit mind-blowing :)
Reviewed in the United States on 5 June 2018
Verified Purchase
I bought this book as it was recommended reading by an excel MVP (I'm on a bit of an excel learning binge) in addition to a few others by Stephen Few. Though the cover of this book was the most "bland" of them all I ended up reading the intro and the first chapter and becoming very interested in the ideas on the visual presentation of (quantitative) data, particularly the graphic showing the number of troops that Napoleon started and ended with on his campaign into Russia (I wasn't even sure of what multi-variate data was but I soon gained an appreciation for its proper presentation).

As each chapter went on I became even more interested in the material that was presented as it seemed very logical and intuitive. I especially enjoyed Professor Tufte's guidelines on maximizing the "data-ink" and minimizing "non data-ink", and was amazed at how he applied these guidelines to graphs I have been using and teaching for many years, making them seem simpler and not as cluttered even if he suggested the "unthinkable" by leaving out gridlines or piece of the axes.

I must admit that I am a bit skeptical about leaving out grid-lines when I produce graphs in excel but I appreciate that making them lighter really helps to de-clutter a graph. But I was totally blown away by how he simplified box and whisker diagrams into quartile plots and how he even removed portions of the vertical and horizontal axis making the graphs easier to read and somewhat more informative.

I'd love to teach these principle to my students (I'm a private tutor) but I know that their in-school teachers would not allow their use as the syllabuses are somewhat antiquated (as are some of the teachers, their beliefs, and methods). They'd probably lose their minds about what Professor Tufte says about pie charts :-D, which, by the way is not to use them as there are better ways to present data. "The only thing worse than one pie chart is more pie charts".

All in all, as someone who's not from a design or art background and with a bit of a background in maths I thoroughly enjoyed this book, its principles, insights, and suggestions, and though it may not be everyone's cup of tea I would readily suggest it to anyone who has more than a passing interest in graphics especially if they're presenting quantitative data. The principles are logical and intuitive, and I really do think that the presentation of graphics should (like anything) be taught well (eschew the decorations/ducks!)

This book is invaluable and has awakened my thirst for more knowledge.

I'm looking forward to reading more!
50 people found this helpful
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Walter
5.0 out of 5 stars Imperdivel para quem tem de apresentar dados
Reviewed in Brazil on 9 January 2018
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O livro é uma referência para quem trabalha com análise e apresentação visual de grandes volumes de dados. Como apresentar em forma honesta e atrativa resumo de dados.
3 people found this helpful
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