Data Points: Visualization That Means Something

Nathan Yau

ISBN 10: 111846219X / ISBN 13: 9781118462195

Published by John Wiley & Sons Inc, 2013

About this Item

2013. 1st Edition. Paperback. 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. Num Pages: 320 pages, black & white tables, maps, figures. BIC Classification: AKC; UG. Category: (P) Professional & Vocational. Dimension: 231 x 190 x 20. Weight in Grams: 742. . . . . .

Seller Inventory # V9781118462195

Bibliographic Details

• Title: Data Points: Visualization That Means Something
• Publisher: John Wiley & Sons Inc
• Publication Date: 2013
• Language: English
• ISBN 10: 111846219X
• ISBN 13: 9781118462195
• Binding: Soft cover
• Edition: 1st Edition
• Condition: New

About this title

Synopsis

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.

About the Author

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.