• List Price: CDN$ 77.79
  • You Save: CDN$ 28.19 (36%)
Only 2 left in stock (more on the way).
Ships from and sold by Amazon.ca. Gift-wrap available.
Beautiful Visualization: ... has been added to your Cart
+ CDN$ 6.49 shipping
Used: Good | Details
Condition: Used: Good
Comment: **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence!
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

Beautiful Visualization: Looking at Data through the Eyes of Experts Paperback – Jul 1 2010

2.0 out of 5 stars 1 customer review

See all 4 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
"Please retry"
"Please retry"
CDN$ 49.60
CDN$ 32.51 CDN$ 9.65

Harry Potter and the Cursed Child
click to open popover

Special Offers and Product Promotions

  • You'll save an extra 5% on Books purchased from Amazon.ca, now through July 29th. No code necessary, discount applied at checkout. Here's how (restrictions apply)

No Kindle device required. Download one of the Free Kindle apps to start reading Kindle books on your smartphone, tablet, and computer.
Getting the download link through email is temporarily not available. Please check back later.

  • Apple
  • Android
  • Windows Phone
  • Android

To get the free app, enter your mobile phone number.

Product Details

  • Paperback: 418 pages
  • Publisher: O'Reilly Media; 1 edition (July 1 2010)
  • Language: English
  • ISBN-10: 1449379869
  • ISBN-13: 978-1449379865
  • Product Dimensions: 17.8 x 1.7 x 23.3 cm
  • Shipping Weight: 816 g
  • Average Customer Review: 2.0 out of 5 stars 1 customer review
  • Amazon Bestsellers Rank: #310,632 in Books (See Top 100 in Books)
  •  Would you like to update product info, give feedback on images, or tell us about a lower price?

  • See Complete Table of Contents

Product Description

Book Description

Looking at Data Through the Eyes of Experts

About the Author

Julie Steele is an Editor at O'Reilly currently working on titles related to Python, SQL, PHP, web frameworks and CMS, databases (relational and non-relational), big data and cloud computing, and data visualization. She's also interested in data transparency and open government, and recently completed a master's degree in political science at Rutgers University.

Noah Illinsky has spent the last several years thinking about effective approaches to creating diagrams and other types of information visualization. He also works in interface and interaction design, all from a functional and user-centered perspective. Before becoming a designer he was a programmer for several years. He has a master's in Technical Communication from the University of Washington, and a bachelor's in Physics from Reed College.

What Other Items Do Customers Buy After Viewing This Item?

Customer Reviews

2.0 out of 5 stars
5 star
4 star
3 star
2 star
1 star
See the customer review
Share your thoughts with other customers

Top Customer Reviews

Format: Paperback Verified Purchase
In one word: Disappointing.

This is actually a collection of small books, none of which would be worth printing on its own. The pictures aren't beautiful, and few of them are as intuitive or as easily interpreted as the authors think they are. I didn't find anything in here that I'd use.
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 Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0x9c216c6c) out of 5 stars 12 reviews
11 of 12 people found the following review helpful
HASH(0x9c0cf7c8) out of 5 stars A Beautiful Collection on Visual Storytelling With Data Sept. 7 2010
By Ira Laefsky - Published on Amazon.com
Format: Paperback
Like all of O'Reilly's Beautiful Series this collection offers an excellent overview of the subject matter it describes; it is carefully edited to provide smooth reading of insights of multiple experts on telling a clear simplifying visual story with data. These viewpoints, war stories and insights from multiple practitioners is as beautiful as any of Edward Tufte's works but provides more practical insight into the process of converting raw uninterpreted data on a complex problem into a computer generated visual story. Each of these data points and illustrations give new insight into the process of converting data complexity into a simplified and explanatory visual presentation. Insights into the process of exploiting software methods for showing this story are also given in sufficient depth something else that would not be gained from other Tuftean works on Information Design. The heavy coated stock and color corrected illustrations in this deceptively compact volume fully illustrate the variety and beauty of the authors visualization examples.

I found all of the illustrated chapters and differing expert viewpoints on visual storytelling with data extremely valuable. A slight nit I would have with this phenomenal work is that I would have placed Jessica Hagy's chapter entitled Visualization: Indexed derived from her blog on visual storytelling first because of its explanatory power. But, perhaps the editors felt that a different emphasis was appropriate in that this is an O'Reilly collection emphasizing Visual Storytelling with The Computer as the Preeminent Tool.

A Beautiful Coffee Table Book that will serve both scientists and graphic artists.

--Ira Laefsky

HCI and IT Consultant formerly on the Senior Staff of Arthur D. Little Inc. and Digital Equipment Corporation
19 of 23 people found the following review helpful
HASH(0x9c4ab63c) out of 5 stars Exploration, discovery and presentation July 28 2010
By Rupesh Verma - Published on Amazon.com
Format: Paperback Verified Purchase
I feel the major areas where good visualization adds value is - avenues of knowledge discovery, information presentation or simply context exploration where one does not know beforehand what insights data may reveal or the extent of relationships between data points. It can be debated that good visualizations could possibly increase cognitive resources available to our minds and decrease conceptual load that has to be dealt with at one time. Visual analytics is an invaluable tool for divergent thinking as well. Coming up with good visualizations is hard but its impact can be immediate and convincing. The visual impact is probabaly more because visual pathways have higher bandwidth at the systems level directly to our reptilian brain whereas logical reasoning resides on the neocortex. Sometimes we just have to see to believe.

The book does an excellent job of visiting various applicable domains. There is enough variety to keep you occupied. Its covers visualizing social datasets(link-node), hierarchical datasets(trees), categorical datasets(relational), time-varying datasets and other most commonly found datasets in scientific and information visualizations. Most chapters are well written with plenty of visuals. If you are an ardent fan of visuals you probabaly have seen everything in this book at one place or another. I think a significant part of the information is derived from papers or other well known publications. You can find almost anything by taking the visualcomplexity website as a starting point. However, the book can save you the research and is an excellent introductory text to expand your knowledge on visualizations.

That being said, I feel its little expensive for its size and as most content is there on the web already, O'Reilly should have listed it at slightly lesser cost. In case you are not going to buy, its a 5-star book no doubt.
15 of 18 people found the following review helpful
HASH(0x9c7a2804) out of 5 stars Fascinating look at data visualization Oct. 13 2010
By missed - Published on Amazon.com
Format: Paperback
I am relatively new to creating data visualizations, so I was very curious to see what kinds of ways I could express data by reading about what experts do. Beautiful Visualization is an excellent resource, mostly for those who are not novices like myself, but regardless, is a wonderful learning tool.

The chapters are written by different people, each with different methodologies and tools that they use to visualize data. Several chapters include sample code or suggested applications you can use to create visualizations, most of them open source. A key thread throughout the course of this book is using visualization to tell stories that may not otherwise be told or realized by simple data evaluation.
8 of 9 people found the following review helpful
HASH(0x9c210930) out of 5 stars Incredibly interesting book March 4 2011
By Brian Peek - Published on Amazon.com
Format: Paperback
As a software developer, I often struggle with how to best present data to a user in a meaningful way. This book explores a variety of scenarios and datasets, and, how people far smarter than I created unique ways to express that data in new and interesting ways. One of the best parts of this book is the explanations of what worked and what didn't, and the principles behind creating visualizations that express concepts cleanly and concisely.

If you have any interest in this field, I can't recommend this book highly enough. Fantastic, useful information.
5 of 6 people found the following review helpful
HASH(0x9c2ddc54) out of 5 stars An Excellent Survey of Data Visualization Feb. 14 2011
By Rachel Binx - Published on Amazon.com
Format: Paperback
This book provides an engaging and exciting tour through the field of data visualization. The authors have done a good job of finding data artists that are varied across their data sources, presentation styles, and professions.

I work with creating visualizations myself, and for the book was most useful in its demonstration of the creative process. Each chapter features a data artist and one particular piece of their work, chronicled from inspiration to final product. It offers a rare glimpse into the working mind of an artist, going through their various revisions and explaining what worked in each round, and the reasons for their creative decisions.

I recommend this book for anyone interested in visualizations, from the casual observer to professional data artist. I've found it immensely helpful as a source of inspiration.