Yau, the creator of flowingdata.com has written a follow-up to his popular technical treatise Visualize This, focusing this time on the graphics of data analysis. Part history book and part instructional guide, the book draws examples and offers applications in fields from statistics, computer science, cartography, business and art.
Data Points: Visualization That Means Something, by Nathan Yau
Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.
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