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. 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, 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.
"synopsis" may belong to another edition of this title.
Nathan Yau has a PhD in statistics and is a statistical consultant who helps clients make use of their data through visualization. He created the popular site FlowingData.com, and is the author of Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, also published by Wiley.
Reveal the story your data has to tell
To create effective data visualizations, you must be part statistician, part designer, and part storyteller. In his bestselling book Visualize This, Nathan Yau introduced you to the tools and programming techniques for visualization. Now, in Data Points, he explores the thinking process that helps you create original, meaningful visualizations that your audience will both understand and remember. Here's how to make your data mean something.
Reveal the story your data has to tell
To create effective data visualizations, you must be part statistician, part designer, and part storyteller. In his bestselling book Visualize This, Nathan Yau introduced you to the tools and programming techniques for visualization. Now, in Data Points, he explores the thinking process that helps you create original, meaningful visualizations that your audience will both understand and remember. Here's how to make your data mean something.
"About this title" may belong to another edition of this title.
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