Data Points

Visualization That Means Something

Specificaties
Paperback, 320 blz. | Engels
John Wiley & Sons | e druk, 2013
ISBN13: 9781118462195
Rubricering
Hoofdrubriek : Kunst en cultuur
John Wiley & Sons e druk, 2013 9781118462195
Verwachte levertijd ongeveer 7 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9781118462195
Taal:Engels
Bindwijze:paperback
Aantal pagina's:320
Verschijningsdatum:12-4-2013
Hoofdrubriek:Kunst en cultuur

Over Nathan Yau

Nathan Yau is a PhD candidate in Statistics at UCLA and a lifelong data junkie. His goal is to make data available and useful to those who aren't necessarily data experts, and he focuses on data visualization and personal data collection.

Andere boeken door Nathan Yau

Inhoudsopgave

Introduction xi
1 Understanding Data 1
2 Visualization: The Medium 43
3 Representing Data 91
4 Exploring Data Visually 135
5 Visualizing with Clarity 201
6 Designing for an Audience 241
7 Where to Go from Here 277
Index 291

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        Data Points