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Designing Data Visualizations [Paperback]

Noah Iliinsky (Author), Julie Steele (Author)
2.7 out of 5 stars  See all reviews (3 customer reviews)
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Book Description

Publication Date: 29 Sep 2011 | ISBN-10: 1449312284 | ISBN-13: 978-1449312282 | Edition: 1

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.

Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process.

  • Learn data visualization classifications, including explanatory, exploratory, and hybrid
  • Discover how three fundamental influences—the designer, the reader, and the data—shape what you create
  • Learn how to describe the specific goal of your visualization and identify the supporting data
  • Decide the spatial position of your visual entities with axes
  • Encode the various dimensions of your data with appropriate visual properties, such as shape and color
  • See visualization best practices and suggestions for encoding various specific data types

Frequently Bought Together

Designing Data Visualizations + Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics + Information is Beautiful (New Edition)
Price For All Three: £37.83

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Product details

  • Paperback: 114 pages
  • Publisher: O'Reilly Media; 1 edition (29 Sep 2011)
  • Language: English
  • ISBN-10: 1449312284
  • ISBN-13: 978-1449312282
  • Product Dimensions: 17.8 x 0.6 x 23.3 cm
  • Average Customer Review: 2.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 547,694 in Books (See Top 100 in Books)

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  • See Complete Table of Contents

More About the Authors

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Noah P. N. Iliinsky
Julie Steele

Product Description

Book Description

Intentional Communication from Data to Display

About the Author

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.

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.

Customer Reviews

2.7 out of 5 stars
3 reviews
2.7 out of 5 stars
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
1.0 out of 5 stars I would not pay for this again 20 Jun 2012
By brainchild
Format:Paperback|Amazon Verified Purchase
I understand that data visualization is a hot topic at the moment. So it is not surprising that publishers cannot wait to capitalize on this attention. However, while many recent books on visualization seem to have been hastily written, I found this one especially disappointing.

For example:

Contrary to their own advice ("Are you using color to represent quantity? Stop it.", p. 92), the authors reserve considerable space for discussing color. That's weird, but what is even weirder is that some of these discussions are illustrated with color scales and samples -- which are actually printed in grey scales! Having read the book, I can understand why the publishers may not have wanted to invest more in the manuscript than necessary. But that does not make it less problematic.

More importantly for me, I got increasingly annoyed by the verbosity and use of boilerplate language. Take this "tip" from page 49: "Consider the following challenge. For every visualization you see, ask yourself these two questions: Are the axes all well defined? Are they used effectively? Unfortunately, the answer to these is often 'no'. Better use of axes will be the first step to improvement." Yes, this all makes sense, doesn't it? Who wouldn't want to have their axes "well defined" and "used effectively"? So how can I do this? Ah, right, I am supposed to start with "better use of axes". Thank you, question answered.

This may come across as sarcastic, but this is the style that much of the book is written in. This is somewhat ironic. The authors talk a lot about how crucial it is for designers of visualizations to reduce the noise and focus on the story or message. However, they do not seem to have applied the same principles to their own text.... Read more ›
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4.0 out of 5 stars Good introduction as intended to 14 May 2012
By Kel
Format:Paperback|Amazon Verified Purchase
A good book overall and an excellent introduction to the data visualization domain. A must have for everyone who plans to design visualizations of any kind.

Advantages:
- Easy to read
- Good examples
- Contains a good reading list

Disadvantages:
- Black and white where colored figures were intended
- Could be more referenced
- A bit short and
- Does not include any interactive features
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1 of 3 people found the following review helpful
3.0 out of 5 stars Designing Data Visualizations is a good book for basics of visualization 3 April 2012
By Rob Lambert
Format:Paperback
The book is an introduction to creating visualizations to express data, information or other findings. It introduces the concepts, explains why you might use visualizations and then explains some of the good and bad techniques.

It's a very relevant book to many as we strive to communicate the growing amount of data we are capturing. The book introduces the many different types of data visualisations including info-graphics and the use of charts, tables, graphs etc. The authors spend a lot of time explaining the reasons behind the visualizations which is very important, but often overlooked in other books. There is lots of information about colors, fonts, audiences and purposes and the channels used.

The authors support each piece of information with examples and external references, which adds lots of credibility to their arguments. There are some really insightful ideas and a lot of examples of good and bad visualizations which help make each point easier to understand.

It's great that the authors spend time talking about color blindness and the psychology behind colors, locations, shapes and proximity. I found this chapter incredibly useful indeed.

At times it felt like the book repeated itself, especially in the first few chapters. I got the sense I was reading the same information again, but thankfully the later chapters made the content more distinct.

Overall this is an easy to read and fun book that gives you the background, insight and tool ideas needed for you to get cracking with building visuals. It's a good book for dipping in and out of to get inspiration and ideas on visualizing data.

Very good book indeed.
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