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. Nice exploration of and discussion around the process of creating data visualizations. 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.
He includes some amazingly creative, smart, and unusual ways to express complicated data. Even for seasoned data visualization artists, there are several useful ideas about how to think about data visualization and infographics. 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. A fresh look at visualization from the author of Visualize This 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. Not what I expected, but glad I read it. Steve Wexler, 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). The discussion, even around really basic fundamentals, contained some thoughtful and nuanced observations. 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. 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.
In that respect it is not trying to be a book about tools, but a book on aesthetics, it focuses on how you evaluate different combinations of visualization options for communicating different types of information about data, not just a number of rules. 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. Be the first to ask a question about Data Points. A fresh look at visualization from the author of Visualize ThisWhether 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. There are also a few confusing typos that change the meaning of his (otherwise good) examples.
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