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

Nathan Yau
3.7 von 5 Sternen  Alle Rezensionen anzeigen (3 Kundenrezensionen)

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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.


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 for code samples, data files you can download, and interactive examples to show you how visualization works


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8 von 8 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Wer die Webseite des Autors kennt... 23. März 2013
Format:Taschenbuch|Verifizierter Kauf
Die Internetseite des Autors ist mitunter eine Goldgrube. Das Buch ist dagegen eine Enttäuschung. Es ist oberflächlich, total nicht originell und banal. Wenn man ein Gespür dafür entwickeln möchte, wie Daten effektiv visualisiert werden können, dann kauft man sich das "R Graphics Cookbook" und ggf. noch "R in Action", um sich mit der Programmiersprache R vertraut zu machen.

Fazit: Für das Buch leider nur ein Punkt. Und nochmal: Die Website des Autors ist eine ausdrückliche Empfehlung.
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6 von 6 Kunden fanden die folgende Rezension hilfreich
Von Anita
This book is suitable for everyone who works with data visualization as a beginner or advanced user.
It covers where to get data (if you don't have your own), how to preprocess data (using Excel, Python, and R) and how to create your print/web visualizations (R, Illustrator, Protovis).

The focus is definitely on graphs and not that much on mapping as the front cover might imply.
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1 von 15 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Absolut spitze! 30. Januar 2012
Absolut spitze und eine Seltenheit in der Magazinenlandschaft. Ich hoffe es wird uns noch lange bleiben. Diese Magazin war für mich die Entdeckung des Jahres gewessen. Habe zuerst das Aktuelle am Kiosk gekauft und danach alle früheren Erscheinungen gekauft.
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Die hilfreichsten Kundenrezensionen auf (beta) 4.1 von 5 Sternen  68 Rezensionen
100 von 105 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Diappointingly Vague and Circular 10. Januar 2012
Von John Miller - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
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.
57 von 60 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Great start 9. August 2011
Von willkristi - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
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.
53 von 57 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen Tools usage, not design pricinples 1. Januar 2012
Von A Medlin - Veröffentlicht auf
Format:Kindle Edition|Verifizierter Kauf
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.
30 von 33 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Nice book on visualizing with R 21. Juli 2011
Von Bill Ferster - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
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.
14 von 15 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Beautiful and Friendly 25. September 2011
Von I Teach Typing - Veröffentlicht auf
Format:Taschenbuch|Verifizierter Kauf
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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