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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics Paperback – July 20, 2011

ISBN-13: 858-0001071008 ISBN-10: 0470944889 Edition: 1st

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Product Details

  • Paperback: 384 pages
  • Publisher: Wiley; 1 edition (July 20, 2011)
  • Language: English
  • ISBN-10: 0470944889
  • ISBN-13: 978-0470944882
  • Product Dimensions: 9.1 x 7.4 x 0.8 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (57 customer reviews)
  • Amazon Best Sellers Rank: #20,485 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

See your data in new ways

Our world is awash in data. To mean anything, it must be presented in a way that enables us to interpret, analyze, and apply the information. One of the best ways to do that is visually.

Nathan Yau is a pioneer of this innovative approach. In this book, he offers you dozens of ideas for telling your story with data presented in creative, visual ways. Open the book, open your mind, and discover an almost endless variety of ways to give your data new dimensions.

  • Learn to present data with visual representations that allow your audience to see the unexpected

  • Find the stories your data can tell

  • Explore different data sources and determine effective formats for presentation

  • Experiment with and compare different visualization tools

  • Look for trends and patterns in your data and select appropriate ways to chart them

  • Establish clear goals to guide your visualizations

Visit the companion web site at www.wiley.com/go/visualizethis for code samples, data files you can download, and interactive examples to show you how visualization works

About the Author

Nathan Yau is a PhD candidate in Statistics at UCLA and a lifelong data junkie. His goal is to make data available and useful to those who aren't necessarily data experts, and he focuses on data visualization and personal data collection. You can follow his visualization experiments at http://flowingdata.com.

More About the Author

My name is Nathan Yau, and I'm the one writing for FlowingData. I have a Ph.D. in statistics from UCLA, with a focus in data visualization. I'm most interested in personal data collection, data for non-professionals, and information design.

I want to make data available and useful to those who aren't necessarily data experts; I think visualization plays a major role in this.

When I'm not playing with data, I'm usually cooking, eating, watching basketball, or hanging out with my wife.

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Customer Reviews

Great for beginners that are totally new to data visualization.
Joseph T. Harmon
It's a really easy book to follow, pack with concise, useful information and a genuine pleasure to read.
Bea
I bought this book for my son, per his request, as a Christmas gift and he loves it.
L. M. Keefer

Most Helpful Customer Reviews

89 of 94 people found the following review helpful By John Miller on January 10, 2012
Format: Paperback Verified Purchase
I was really hoping for a book on how to abstract data sets into visualizations, with concrete programming examples. In other words, "ask yourself these questions about the data; with these answers (or those), the data is best visualized in these formats. Now, let's implement".

Instead, I found it to be a kind of "circular" logic (visualize data in good ways is important... here is some data visualized in a good way... now doesn't that show how important it is - and it's cool... btw here is a code snippet). It is almost like the book is just trying to convince me that data visualization can be powerful and cool. I know that - that's why I bought this, I wanted to learn the tools and techniques to determine the best and most innovative way to visualize data sets, not how the author has visualized existing data sets he has dealt with.

Interesting enough to borrow if you see it on a friend's desk, but I don't think I'd purchase it again if I had the opportunity.
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54 of 57 people found the following review helpful By willkristi on August 8, 2011
Format: Paperback Verified Purchase
I really enjoyed this book. It is absolutely beautifully printed and the examples are well made and well explained. There are a couple of things I would have liked to see done a little differently.

First, every example uses Adobe Illustrator to make the visualization look as good as they do. In order to complete the exercises, you must have Illustrator. Nathan does explain that it can be obtained at a discount or you can an older version, but it's still a pretty big financial investment. If I hadn't been able to dig up a old copy, Illustrator 9, I would have been out of luck. Even with my outdated copy, not everything worked for me. If he had included at least a couple of examples with the open source Inkscape, this would have been a 5 star rating.

The second thing I would have liked to see a little different is more statistical info to go along with the visualizations. We often visualize data to help make decisions. Nathan shows how to display a LOESS line to see the best fit for the curve, but he stops there. Maybe discussing R² ( correlation coefficient) analysis to determine whether the values are are a good match would help me feel better about analyzing the data beyond just visualization.

That said, this is an extremely well written book and easily deserves 4 stars. Dig up an old copy of Illustrator (preferably CSx versions) and enjoy this book.
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42 of 46 people found the following review helpful By A Medlin on January 1, 2012
Format: Kindle Edition Verified Purchase
If you are looking for a book on how to use Illustrator and R to create various visual elements, this book may be for you. It shows you examples using various tools, and is more of a guide to creating charts and other elements using those tools. This book is not for people not interested in using R or Illustrator or Excel for that matter. If you are looking for a book that will outline how you should THINK about presenting data that you have, and give you constructive ideas, this book is not for you. The FlowingData blog has a bunch of great tips for that, so that is what I was expecting. However, when I saw a bunch of screenshots and sample code, this is more of a programming guide than a design book.

In addition, the first chapter in the preview is not representative of the book, IMO.

A more apt title would be "How to use Adobe Illustrator and R to Create Charts".

If you are looking for a 'How To' guide, this might very well be your book. I'm rating it low because I was expecting a book that would give me design principles and guides, not show me code samples and tool screenshots.
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29 of 32 people found the following review helpful By Bill Ferster on July 20, 2011
Format: Paperback Verified Purchase
This is a nice addition to the books on data visualization. It will be particulary useful for people wanting to learn R (the lingua franca of statisticians) to create good looking visualizations. The writing style is crisp and conversational and is organized around the kind of things one might want the data to communicate: time series, part-to-whole comparisons, relationships, etc. It does not require any expertise in programming or statistics to understand.
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14 of 15 people found the following review helpful By I Teach Typing on September 24, 2011
Format: Paperback Verified Purchase
I have been teaching data management and visualization for 12 years and I have never seen a book that covers visualization so well for such a broad audience. It braids together the very best tools of the trade for scientific data visualization, graphic design concepts and "how-to" advice. It gives a friendly introduction to tools like R, Illustrator, XML, Python (with BeautifulSoup), JSON, etc. (and the toolkit goes on-and-on). Also it gives complete working code examples to show how to scrape data from the web for analysis and visualize the info without swamping the reader with details. It has a HUGE set of references and free tools for getting interesting data-sets (everything from sports to science to politics to health), reformatting data and making graphics that are ready for mass media or scientific publication.

There is very little to complain about here except the fact that the author shows off Illustrator instead of its less expensive competitors. I had avoided Illustrator because of cost and the nasty learning curve but now, thanks to this book, I am using it to edit my SAS and R graphics that were "almost perfect." Happily this book has great examples for showing how to manipulate/clean up scientific graphics without getting bogged down in the endless complexity that is Illustrator.

So, this is all around beautiful, friendly and worth every cent if you need to make high quality graphics.
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