Read "Visualize This The FlowingData Guide to Design, Visualization, and Statistics" by Nathan Yau available from Rakuten Kobo. Sign up today and get $5 off. Practical data design tips from a data visualization expert ofthe modern age Data doesn?t decrease; it is ever-increasing and can beoverwhelming to organize in. Last week I announced the release of Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, and I have to admit: I was.

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Visualize This Ebook

Open eBook Preview · Store; Visualize This. Visualize This (eBook). by Nathan Yau (Author). 66, Words; Pages. Practical data design tips from a data. Free download of The Power to Visualize by Kaley Rhodes. Available in PDF, ePub and Kindle. Read, write reviews and more. Editorial Reviews. From the Back Cover. See your data in new ways. Our world is awash in Visualize This: The FlowingData Guide to Design, Visualization, and Statistics eBook: Nathan Yau: Kindle Store.

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Steve Wexler. The Visual Miscellaneum: David McCandless. Data Points: Nathan Yau. 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.

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: Product details File Size: Wiley; 1 edition June 13, Publication Date: June 13, Sold by: English ASIN: Enabled X-Ray: Not Enabled.

Share your thoughts with other customers. Write a customer review. Read reviews that mention data visualization open source adobe illustrator flowingdata com programming language starting point nathan yau visualize data get started design principles great examples flowingdata blog well written author uses bought this book good book tools you can use reference book book is great data analysis. Showing of 84 reviews. Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now.

Please try again later. Kindle Edition Verified download. 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.

Paperback Verified download. Nathan Yau maintains one of the most famous blog about data visualization flowingdata. 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. 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 One person found this helpful. 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 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 download it again if I had the opportunity. 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.

Visualize This: eBook formats and sample chapter

I literally just opened it for the second time and pages started falling out, and they continue to. download the ebook Keefer Top Contributor: 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.

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What he said he likes about it: See all 84 reviews. site Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers.

Learn more about site Giveaway. It came and immediately got stolen. Looks great flowingdata http: There goes my week-end. Very excited to dig into the new flowingdata book this weekend!

Awesome day, but now I want to play sick tomorrow. My plans for the evening.

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Congrats flowingdata!! Only 30 minutes w the book and already learned new things!! Hey flowingdata, Visualize This. Looks great. Thanks again, everyone. Get all the info here.

How You Can Better Visualize Your Data

And I thought site. Now I am looking forward to the delivery date. The plot function in particular is a wrapper for a lot of other plotting functions. Great book. Love it already after reading 3 chapters. Is the web page with code samples up and running yet? Simon — You can get it on Wiley or here. What version of Python do you recommend installing to work with the code samples in your book?

Python 2. Simon — I was working with 2. Ordered it from site a few days ago. Pity it takes two weeks to get all the way to New Zealand! Very excited though.. Read through my copy, great stuff!

Thanks so much for writing it in approachable and practical manner. If I were to teach an intro to visual analytics, I would definitely use this as a text. Become a member. Learn to visualize data. From beginner to advanced. Unfortunately, while of varying magnitude, mass shootings are somewhat regular in the United States. Membership Courses Tutorials Guides. Visualize This: July 20, Topic The Book. Thanks flowingdata bmarkslash7: Related Data Points: Sample chapter Visualize This: Published Visualize This:

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