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35 books on Data Visualization

Originally posted on Big Data Made Simple.

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1. The Visual Display of Quantitative Information

Author: by Edward Tufte
Publisher: Graphics Press, 1983
Pages: 197

A modern classic. Tufte teaches the fundamentals of graphics, charts, maps and tables. "A visual Strunk and White" (The Boston Globe). Includes 250 delightfullly entertaining illustrations, all beautifully printed.

2. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Author: Nathan Yau
Publisher: John Wiley & Sons, 2011
Pages: 384

Practical data design tips from a data visualization expert of the modern age. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau. Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers. Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator. Contains numerous examples and descriptions of patterns and outliers and explains how to show them.

3. Semiology of Graphics: Diagrams, Networks, Maps

Author: Jacques Bertin
Publisher: Esri Press, 2010)
Pages: 456

Originally published in French in 1967, Semiology of Graphics holds a significant place in the theory of information design. Founded on Jacques Bertin’s practical experience as a cartographer, Part One of this work is an unprecedented attempt to synthesize principles of graphic communication with the logic of standard rules applied to writing and topography. Part Two brings Bertin’s theory to life, presenting a close study of graphic techniques including shape, orientation, color, texture, volume, and size in an array of more than 1,000 maps and diagrams.

4. Visual Thinking: for Design

Author: Colin Ware
Publisher: Morgan Kaufmann Publishers In, 2008
Pages: 256

In Visual Thinking for Design, Colin Ware takes what we now know about perception, cognition, and attention and transforms it into concrete advice that designers can directly apply. He demonstrates how designs can be considered as tools for cognition - extensions of the viewer's brain in much the same way that a hammer is an extension of the user's hand. Experienced professional designers and students alike will learn how to maximize the power of the information tools they design for the people who use them.

5. Information Visualization: Perception for Design

Author: Colin Ware
Publisher: Morgan Kaufmann, 2004
Pages: 486

Most designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves clearly see key patterns in a bunch of data? This book explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness.

6. Information Dashboard Design: Displaying Data for at-a-glance Monitoring

Author: Stephen Few
Publisher: Analytics Press, 2013
Pages: 260

A leader in the field of data visualization, Stephen Few exposes the common problems in dashboard design and describes its best practices in great detail and with a multitude of examples in this updated second edition. According to the author, dashboards have become a popular means to present critical information at a glance, yet few do so effectively. He purports that when designed well, dashboards engage the power of visual perception to communicate a dense collection of information efficiently and with exceptional clarity and that visual design skills that address the unique challenges of dashboards are not intuitive but rather learned. The book not only teaches how to design dashboards but also gives a deep understanding of the concepts rooted in brain science that explain the why behind the how.

7. Data Visualization: a successful design process

Author: Andy Kirk
Publisher: Packt Publishing Limited, 2012
Pages: 206

The author explains A structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively. He explains a portable, versatile and flexible data visualization design approach that will help you navigate the complex path towards success. Explains the many different reasons for creating visualizations and identifies the key parameters which lead to very different design options.

8. The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions

Author: Phil Simon
Publisher: Wiley, 2014
Pages: 240

In The Visual Organization, award-winning author and technology expert Phil Simon looks at how an increasingly number of organizations are embracing new dataviz tools and, more important, a new mind-set based upon data discovery and exploration. Simon adroitly shows how Amazon, Apple, Facebook, Google, Twitter, and other tech heavyweights use powerful data visualization tools to garner fascinating insights into their businesses. But make no mistake: these companies are hardly alone. Organizations of all types, industries, sizes are representing their data in new and amazing ways. As a result, they are asking better questions and making better business decisions.

9. The Functional Art: An introduction to information graphics and visualization

Author: Alberto Cairo
Publisher: New Riders, 2012
Pages: 384

The first book to offer a broad, hands-on introduction to information graphics and visualization, The Functional Art reveals: Why data visualization should be thought of as “functional art” rather than fine art; how to use color, type, and other graphic tools to make your information graphics more effective, not just better looking; the science of how our brains perceive and remember information; best practices for creating interactive information graphics; a comprehensive look at the creative process behind successful information graphics; an extensive gallery of inspirational work from the world’s top designers and visual artists.

10. Visualizing Data: Exploring and Explaining Data with the Processing Environment

Author: Ben Fry
Publisher: O'Reilly Media, 2008
Pages: 384

With Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you: the seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact; how all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details; several example projects with the code to make them work; positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set.

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Originally posted on DataScienceCentral by Mirko Krivanek

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