Nathan Yau

eBook, PDF

Data Points (eBook, PDF)

Visualization That Means Something

Beschreibung

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.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 55.2MB

Barrierefreiheit

• Text-to-Speech

Autor

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.

Produktdetails

• Verlag: John Wiley & Sons
• Erscheinungstermin: 1. März 2013
• Englisch
• ISBN-13: 9781118462225
• Artikelnr.: 37756339

Rezensionen

'A detailed handbook, Data Points is especially useful for those working on scientific data visualization, guiding the reader through fascinating examples of data, graphics, context, presentation and analytics. But this is more than a mere how-to manual. Yau reminds us that the real purpose of most visualization work is to communicate data to pragmatic ends.' (Nature, May 2013)