Free Ebook Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

Free Ebook Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

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

Free Ebook Visualize This: The FlowingData Guide to Design, Visualization, and Statistics

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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

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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.

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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:

7.3 x 0.9 x 9 inches

Shipping Weight: 2 pounds (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

85 customer reviews

Amazon Best Sellers Rank:

#124,192 in Books (See Top 100 in Books)

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). However, the book is tailored through by computer codes (indeed scripts) that allow to generate discussed examples of the visualisation automatically in web browser from raw files. Even though I can code and I understood (and acknowledged the elegance) of the codes, they still somehow punch the visualization value added of the book. If you can convince yourself not to freak out about scripts (and accompanying passages) in the text, I strongly recommend to read this book, as I am already very advanced I this matter and still I have found it resourceful reading. If you puke upon seeing math equations or computer codes, please avoid this book for the benefit of your own health.

Nathan Yau maintains one of the most famous blog about data visualization (flowingdata.com). He is also author of the book Visualize This: The FlowingData guide to design, visualization and statistics. The book is of course well illustrated, full in colors. It is based on the main idea that one can find patterns through well chosen data visualization. He covers topics such as data scrapping, formatting, basic graphs and multidimensional scaling (MDS) among others.The book describes several visualization methods. For each topic, Yau starts with a quick overview of the technique. He then follows with programming details (for example using R). He eventually shows the way from standard R graphics to nice visualizations using Illustrator. The book is thus very practical, with few place for theoretical concepts.Yau provides several good advices such as the importance to question your data. The books contains tips and tricks for preparing and programming graphics. It is sometimes more of a R user manual than a general book on the topic. To be noted the excellent Chapter 7, about visualizing multi-dimensional data. This book is a must-have for people who want to prepare nice graphics in R. For expert users, the book is too straightforward (out of the last few chapters). For others, it’s a nice non-theoretical journey in the world of data visualization.

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.

This book was exactly what other readers promised it would be: A broad introduction to the topic and a very solid, comprehensive technical reference book. For those with no design or development experience, you might look elsewhere for an introduction to data visualization but, for designers like myself, it was spot-on. The author does a very nice job of being conversational about a topic that doesn't easily lend itself to that style of writing. The visuals are good, the examples are topical and the references extremely valuable. I really enjoyed it. I would love to have an audio book copy, so that I could listen to the dialog while studying the visuals...that would probably be the perfect way to absorb and internalize the information.

The content may be good, but the binding on this book is awful! I bought this book yesterday, and pages are already falling out. I did nothing more than set the book on my table and start reading. Simply turning the pages was enough for them to detach.

This book contains great information, but good luck keeping the pages in it. It will start falling apart within a week, and I am NOT rough on books either. I treat my books very respectfully. I literally just opened it for the second time and pages started falling out, and they continue to. Buy the ebook... not the paperback.

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 present information to his colleagues, boss and clients. This book exceeded his expectations he said. What he said he likes about it:* teaches how to scrape data from web pages* teaches the nuts and bolts* teaches you how to do it - not just a textbook approach of what visualization is* super applied* makes it easy to extract value* feels like you are being tutored rather than just taught about it

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