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Visualize This: The FlowingData Guide to Design, Visualization, and Statistics [Kindle Edition]

Nathan Yau
4.2 out of 5 stars  See all reviews (57 customer reviews)

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Book Description

Practical data design tips from a data visualization expert of the modern age

Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.

  • Presents a unique approach to visualizing and telling stories with data, from a data visualization expert, 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

Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.



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.

Product Details

  • File Size: 8828 KB
  • Print Length: 384 pages
  • Publisher: Wiley; 1 edition (June 13, 2011)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B005CCT19M
  • Text-to-Speech: Enabled
  • X-Ray:
  • Lending: Enabled
  • Amazon Best Sellers Rank: #42,915 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  •  Would you like to give feedback on images?.


Customer Reviews

Most Helpful Customer Reviews
90 of 95 people found the following review helpful
2.0 out of 5 stars Diappointingly Vague and Circular 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
4.0 out of 5 stars Great start 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
2.0 out of 5 stars Tools usage, not design pricinples 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
5.0 out of 5 stars Nice book on visualizing with R 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
5.0 out of 5 stars Beautiful and Friendly 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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Most Recent Customer Reviews
4.0 out of 5 stars Practical help for beginners
If you like the flowingdata blog, then you'll like this book. He writes with a similar accessible tone and with true enthusiasm for the field. Read more
Published 3 months ago by Connie
5.0 out of 5 stars Beautiful and very informative book
It's a really easy book to follow, pack with concise, useful information and a genuine pleasure to read. Read more
Published 5 months ago by Bea
5.0 out of 5 stars Detailed
Very detailed, it was easy to follow and i have no idea why I am required to put so much on this review...Good Book
Published 6 months ago by Amanda
5.0 out of 5 stars GREAT
This is a great book for those who wish to create infographics. If you love art and design you should buy it.
Published 7 months ago by Keith Jeter
5.0 out of 5 stars Excelent!!!
This book is fully supporting me in my studies. An excellent purchase, for in Brazil is difficult to find literature that quality.
Published 8 months ago by Marcelo Navarro
5.0 out of 5 stars Very Pretty
Visualization is still not covered very well. This is one of the books to help. The big difference: It is not beholden to any one system. Read more
Published 8 months ago by Dirk Dittmer
5.0 out of 5 stars Good intro to data visualization
Great for beginners that are totally new to data visualization. He spent a lot of text going thru code example to help newbies produce some of the charts and examples. Read more
Published 10 months ago by Joseph T. Harmon
3.0 out of 5 stars sorceful book, but for specific subsegment of users
The book introduces several interesting stepping stones of the process of showing your data more attractively to audience or telling you story better (some times at all even). Read more
Published 10 months ago by Vitek Filip
5.0 out of 5 stars Feels Like You're Being Tutored - Non-Textbook Approach
I bought this book for my son, per his request, as a Christmas gift and he loves it. He is a game designer and works with data - data on players, on the games, and uses data to... Read more
Published 10 months ago by L. M. Keefer
3.0 out of 5 stars Nice overview, not too many how to's
Good book to get an overview on how to use visualisations and how they add value. More focused on the what it is than on how to do it. Read more
Published 10 months ago by ir A.J.M. Kooy
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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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