Data points [electronic book] : visualization that means something / Nathan Yau.
By: Yau, Nathan [author.]
.
Material type:
BookPublisher: Indianapolis, IN : John Wiley & Sons, Inc., [2013]Copyright date: ©2013Description: online resource (xii, 300 pages) : color illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781118462195 (paperback); 9781118462225 (e-book).Subject(s): Graphic methods| Item type | Current library | Call number | Status | |
|---|---|---|---|---|
| eBook | MTU Online | 001.4226 (Browse shelf(Opens below)) | Available |
Enhanced descriptions from Syndetics:
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 rulesCreate visualizations that register at all levels, with Data Points: Visualization That Means Something .
Includes bibliographical references and index.
Electronic reproduction.: ProQuest LibCentral. Mode of access: World Wide Web.
Table of contents provided by Syndetics
- Introduction (p. xi)
- 1 Understanding Data (p. 1)
- What Data Represents (p. 2)
- Variability (p. 20)
- Uncertainty (p. 30)
- Context (p. 35)
- Wrapping Up (p. 41)
- 2 Visualization: The Medium (p. 43)
- Analysis and Exploration (p. 45)
- Information Graphics and Presentation (p. 58)
- Entertainment (p. 69)
- Data Art (p. 74)
- The Everyday (p. 81)
- Wrapping Up (p. 89)
- 3 Representing Data (p. 91)
- Visualization Components (p. 93)
- Putting It Together (p. 115)
- Wrapping Up (p. 132)
- 4 Exploring Data Visually (p. 135)
- Process (p. 136)
- Visualizing Categorical Data (p. 143)
- Visualizing Time Series Data (p. 154)
- Visualizing Spatial Data (p. 165)
- Multiple Variables (p. 176)
- Distributions (p. 193)
- Wrapping Up (p. 199)
- 5 Visualizing with Clarity (p. 201)
- Visual Hierarchy (p. 202)
- Readability (p. 205)
- Highlighting (p. 221)
- Annotation (p. 228)
- Do the Math (p. 236)
- Wrapping Up (p. 239)
- 6 Designing for an Audience (p. 241)
- Common Misconceptions (p. 242)
- Present Data to People (p. 254)
- Things to Consider (p. 258)
- Putting It Together (p. 268)
- Wrapping Up (p. 273)
- Where to Go from Here (p. 277)
- Visualization Tools (p. 278)
- Programming (p. 283)
- Illustration (p. 288)
- Statistics (p. 289)
- Wrapping Up (p. 289)
- Index (p. 291)