£26.00
FREE Delivery in the UK.
Only 1 left in stock (more on the way).
Dispatched from and sold by Amazon. Gift-wrap available.
Quantity:1
The Visual Display of Qua... has been added to your Basket
Have one to sell?
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 3 images

The Visual Display of Quantitative Information Hardcover – 31 Jan 2001

4.5 out of 5 stars 46 customer reviews

See all formats and editions Hide other formats and editions
Amazon Price
New from Used from
Hardcover
"Please retry"
£26.00
£24.94 £23.81
£26.00 FREE Delivery in the UK. Only 1 left in stock (more on the way). Dispatched from and sold by Amazon. Gift-wrap available.

Frequently Bought Together

  • The Visual Display of Quantitative Information
  • +
  • Envisioning Information
  • +
  • SHOW ME THE NUMBERS
Total price: £84.05
Buy the selected items together

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone

To get the free app, enter your e-mail address or mobile phone number.




Product details

  • Hardcover: 190 pages
  • Publisher: Graphics Press USA; 2nd edition edition (31 Jan. 2001)
  • Language: English
  • ISBN-10: 0961392142
  • ISBN-13: 978-0961392147
  • Product Dimensions: 2.5 x 22.9 x 27.9 cm
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (46 customer reviews)
  • Amazon Bestsellers Rank: 13,021 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, and more.

Product Description

Synopsis

The first edition of Tufte's now classic text on the design of statistical graphics was published in 1983. Tufte published it himself with the help of a second mortgage in order to have complete control over the book's design, which he wanted to reflect the intellectual principles put forth in its c


Inside This Book

(Learn More)
First Sentence
Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency. Read the first page
Explore More
Concordance
Browse Sample Pages
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Search inside this book:

Customer Reviews

4.5 out of 5 stars
Share your thoughts with other customers

Top Customer Reviews

Format: Hardcover 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.
Comment 13 of 13 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Hardcover
This book, and the two companion volumes ("Envisioning Information" and "Visual Explanations") are must-haves for anyone who is in the business or producing or interpreting
statistical information.

Tufte starts with a simple proposition: graphs and graphics
that represent statistical data should tell the truth. It's
amazing how often designers of such graphics miss this basic
point. Tufte clearly and entertainingly elucidates the most
common "graphical lies" and how to avoid them.

Read this
book and you'll never look at a newspaper or presentation
graphics the same way again -- you'll be left wondering if
the author *intended* to lie about what the data were saying, or if he/she just didn't know any better.

Another reviewer claimed that this book talks about how to make graphics accurate, not beautiful. He's right in some sense, but who cares? There are a million books on how to make "pretty" graphical displays, but precious few on how to make useful ones. These books are they.
Comment 9 of 9 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Hardcover
This book should be a compulsory read for all graphic designers dealing with data visualisation.
The clearly focused chapters, all with superb illustrations, take the reader through some of the best and worst graphics and charts ever printed, with Tufte providing crystalline insights and techniques that will stick in your mind and make your own work better.
Whilst this book deals only with printed graphics, I think that the lessons learned are even more valuable as a foundation for interactive media designers. With the added dimensions of time and user involvement comes the potential to commit far worse design-crimes than many of the examples laid bare in this book!
Like I said: Read it before you make a really bad mistake!
Comment 28 of 29 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Hardcover
This is the first of Edward Tufte's brilliant trilogy on how information should be displayed. The Visual Display of Quantitative Information is about pictures of numbers. Envisioning Information is about picturing nouns. Visual Explanations is about picturing verbs. All three are beautiful artefacts in their own right, encapsulating the author's ideas in the actual production of the book. Each is crammed with examples of good and bad practice over the past centuries.
Comment 21 of 22 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Hardcover
This book is an excellent style guide on how to present
data in graphical format. Every idea is clearly explained
and backed up with excellent visual examples. Tufte
emphasizes the use of graphics as a tool that accelerates
the flow of information to the reader instead of an
ornamental attachment. Latest advances in personal
computing and world-wide web has made this point even
more important - just think about the amount of junk we
get to see on a typical web page. Tufte criticizes the
increasingly familiar case of graphical data distortion
in publications with striking examples and offers basic
guidelines for avoiding this problem.

The book is overall very well written and designed. I
consider "The Visual Display of Quantitative Information"
required reading for anybody who needs to present or use
data in graphical form.
Comment 5 of 5 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
Format: Hardcover Verified Purchase
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".
Read more ›
2 Comments 13 of 14 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse

Most Recent Customer Reviews



Feedback