Here’s how to make your data mean something. 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. The first few chapters cover basic concepts like what type of graphs to use for what type of data (proficient Excel users would know this already). 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. Some features of the site may not work correctly. 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. Create visualizations that register at all levels, with Data Points: Visualization That Means Something. 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. Think pie charts, scatter plots, etc., on steroids. Enabled. Good introductory text to data visualization. Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. Great book about the fundamentals of data visualization. Nathan Yau is the heir to Edward Tufte when it comes to data visualization and graphics so anyone who is serious about that field needs to read his work. I agree with the author maybe 50 per cent of the time. All Rights Reserved. Most of the message is explore and get to know your data through a wide variety of charts. In this respect, it goes considerably deeper and profound about how people comprehend and interpret visualizations than a set of. eBookMall is a recognized leader in eBooks. Many of the examples aren't my cup of tea. Notwithstanding the above, the book is interesting and puts forward a mostly common sense approach.. I wouldn't rely on it wholly but think the book wd complement the current collection of texts on the topic. Take O’Reilly online learning with you and learn anywhere, anytime on your phone and tablet. If that's what you're looking for, this book isn't it. 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). Aileen Nielsen, Time series data analysis is increasingly important due to the massive production of such data through …. Slightly redundant after reading Visualize This, but still very enlightening. Jeffrey Shaffer, 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.
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