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While there's nothing super mind-blowing in the book, I appreciated the willingness to talk through the thought process and resulting effects of different variations on the same basic visualization. The Visual Display of Quantitative Information. Take O’Reilly online learning with you and learn anywhere, anytime on your phone and tablet. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. In Data Points: Visualization That Means Something , author Nathan Yau presents an intriguing complement to his bestseller Visualize This , this time focusing on the graphics side of data analysis. Slightly redundant after reading Visualize This, but still very enlightening. Provided some useful skills to apply and ways to think about visualization. Again, cool results can be had with the programming examples in the book, sometimes surprising in their coolness. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. However, it is not as good as many others books on the topic: Tufte is my pick for the best (The Visual Display of Quantitative Information), and his book is much better produced than Data Points. In this book Yau aimed to concentrate on the process of visualisation more than the technique. Using examples from art, design,business, statistics, cartography, and online media, he exploresboth standard-and not so standard-concepts and ideas aboutillustrating data. He shows the myriad ways that reams of data can be presented so that they convey a point or conclusion that normal people can visualize - and feel the impact. Terms of service • Privacy policy • Editorial independence, Data Points: Visualization That Means Something, Get unlimited access to books, videos, and. Read honest and unbiased product reviews from our users. Instead, Yau emphasizes the visualization aspects of presenting information. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Find helpful customer reviews and review ratings for Data Points: Visualization that Means Something at Amazon.com. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. My biggest gripe is how the examples are on following pages, so you read about the visual before seeing it. I would also highly recommend Bertin's Semiology of Graphics, which does much the same thing but with a much more comprehensive theory underlying the choices. When was it collected? By Stan and Jan Berenstain - in data points visualization that means something author nathan yau presents an intriguing complement to his bestseller visualize this this time focusing on the graphics side of data analysis using examples from art design business statistics cartography and online media Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. But this book 100% enthralled me from beginning to end. In his bestselling book Visualize This, Nathan Yau introduced you to the tools and programming techniques for visualization. This is a beautifully produced book with lots of great ideas for visualizing data. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Most of the message is explore and get to know your data through a wide variety of charts. Jeffrey Shaffer, It's also a little light on the analytic and exploratory aspects of graphics as opposed to the communicative and visual aspects. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. And all the examples were inspiring, intriguing, and insightful. O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers. * Shares … Because of what data represents—people, places, and things—there is always important context attached to the factual numbers. Shares intriguing ideas from … In this book Yau aimed to concentrate on the process of visualisation more than the technique. Data Fluency. But the charts showing how to compose graphics from the basic components are worth the price of the book. This book is for someone who has started making visuals (or planning to) and looking for the mindset one needs while thinking about what visual to make. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Data Points. data points visualization that means something Sep 18, 2020 Posted By Roger Hargreaves Media Publishing TEXT ID 6463ee42 Online PDF Ebook Epub Library author in data points visualization that means something author nathan yau presents an intriguing complement to his bestseller visualize this this time focusing on the In Data Points: Visualization That Means Something,author Nathan Yau presents an intriguing complement to hisbestseller Visualize This, this time focusing on thegraphics side of data analysis. The cover design drew me in immediately and flicking through the pages I came across several really interesting visualisations that I wanted to know more about. I personally thought the balance was a little off--there's almost nothing about how to actually create some of these quite complex graphics (I think there's another book by the same author that goes deeper into this). Some of the guidance on creating visualizations was useful, some not (especially where the visualizations were for large data sets and the small print was hard to read). He sees that pie charts have their place, albeit a limited one, in the visualization domain. Let us know what’s wrong with this preview of, Published O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers. Exercise your consumer rights by contacting us at donotsell@oreilly.com. In this respect, it goes considerably deeper and profound about how people comprehend and interpret visualizations than a set of pithy rules masquerading as common sense. Foster Provost, Lots of nice examples and exploration of the various questions a data designer should ask themselves. Tom Fawcett, Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces …, by In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Shares … But it's not a hands-on book in any way, it's something you passively read and learn from. The discussion, even around really basic fundamentals, contained some thoughtful and nuanced observations. Big data is one of the latest twists on information technology, where, as I understand it, smart IT folks can mine huge data bases and find patterns, hidden trends, useful trees in massive forests. There are also a few confusing typos that change the meaning of his (otherwise good) examples. Using examples from art, design, business, statistics, cartography, and online media, he explores both standard-and not so standard-concepts and ideas about illustrating data. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers, Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table, Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more, Examines standard rules across all visualization applications, then explores when and where you can break those rules. Visualization that Means Something. We are responsible for this human part of the computer-generated Good solid introduction to the art of data visualization. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis. Good balance of explanations and examples. By Nathan Yau. He begins to provide some basic instruction in statistics but only the most basic. Harvey Deitel, The professional programmer's Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers …, by Put data to use among the unintiated. Now, in Data Points, he explores the thinking process that helps you create original, meaningful visualization. I agree with the author maybe 50 per cent of the time. A good, solid, overview of creating meaningful visualizations. 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