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Image from Amazon
Title: The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of presenting Data, Factors and Figures
Author(s): Dona M. Wong
Publisher: W. W. Norton & Company


Summary

Amazon wrote:In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us. In this book, you will learn:

  • to choose the best chart that fits your data;
  • the most effective way to communicate with decision makers when you have five minutes of their time;
  • how to chart currency fluctuations that affect global business;
  • how to use color effectively;
  • how to make a graphic “colorful” even if only black and white are available.

  • The book is organized in a series of mini-workshops backed up with illustrated examples, so not only will you learn what works and what doesn’t but also you can see the dos and don’ts for yourself. This is an invaluable reference work for students and professional in all fields.




    Book Preview (when available)


    Where to get it?
  • Amazon.com
  • Mike Murach & Associates



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    “The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of presenting Data, Factors and Figures” - long title! Luckily, the actual book isn't that verbose. The book itself is just under 150 pages which is a great example of not adding filler to make a book longer than it needs to be. Almost every page has one or more information graphics. Even the dedication and acknowledgments contain graphics – don't skip them – they are fun.

    Much of the book consists of comparing bad/good examples so you can see what to do. A few show a continuum of readability/visual impact rather than just saying good/bad. The tips range from what I think of as the really obvious to things I hadn't thought about before. I say “what I think of” because I do see poor charts that contains these anti-patterns. So they aren't obvious to everyone.

    Chapter 3 covers some math that one may or may not know – especially statistics. Some are stock related, but most are more general. Chapter 4 covers what I think of as edge cases and chapter 5 covers non numerical visuals.

    Ultimately, this book serves both as a good read and a handy reference.

    I give this book 9 out of 10 horseshoes.
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