Visualize This
The Flowingdata Guide to Design, Visualization, and Statistics
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LEARN HOW TO CREATE GRAPHICS THAT TELL MEANINGFUL STORIES WITH DATA Designing charts and graphics is, first and foremost, about understanding data-- sometimes monumental amounts of data. In Visualize This, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to gather, parse, and format data, so you can design high quality graphics that maximize the data's storytelling potential. Inside, you'll learn how to use technologies like R, Python, Excel, and JavaScript to create eye-catching visualizations that communicate their message clearly and accurately. Disc...
LEARN HOW TO CREATE GRAPHICS THAT TELL MEANINGFUL STORIES WITH DATA Designing charts and graphics is, first and foremost, about understanding data-- sometimes monumental amounts of data. In Visualize This, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to gather, parse, and format data, so you can design high quality graphics that maximize the data's storytelling potential. Inside, you'll learn how to use technologies like R, Python, Excel, and JavaScript to create eye-catching visualizations that communicate their message clearly and accurately. Discover how to showcase outliers, find patterns in datasets, create informational maps, and more. With real-world examples and hands-on activities, you'll hone your skills as an information designer. In this updated edition of his classic book, Nathan Yau encourages you to think creatively as you: * 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.book.flowingdata.com/vt2/ for code samples, downloadable data files, and interactive examples.
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