Data Points: visualization that means something Yau, Nathan
Publication details: 2013 Wiley IndianapolisDescription: xiii, 300ISBN:- 9781118462195
- 001.4226 Y2D2
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Ahmedabad | Non-fiction | 001.4226 Y2D2 (Browse shelf(Opens below)) | Available | 179924 |
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001.4226 S2G7 Graph data management: techniques and applications | 001.4226 U6G7 Graphical data analysis with R | 001.4226 W4G7 The grammar of graphics | 001.4226 Y2D2 Data Points: visualization that means something | 001.4226028566 J6C6 Communicating data with Tableau: designing, developing, and delivering data visualizations | 001.4226028566 T3D2-2015 Data visualization: principles and practice | 001.4226028566 W4G4 ggplot2: elegant graphics for data analysis |
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.
Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers
Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in a table
Includes examples from the author's own illustrations, as well as from professionals in statistics, art, design, business, computer science, cartography, and more
Examines standard rules across all visualization applications, then explores when and where you can break those rules
Create visualizations that register at all levels, with Data Points: Visualization That Means Something.
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