Data Points: Visualization That Means Something - Softcover

Yau, Nathan

Softcover

ISBN 10: 111846219X ISBN 13: 9781118462195

Verlag: Wiley, 2013

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den 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.

Von der hinteren Coverseite

Reveal the story your data has to tell

To create effective data visualizations, you must be part statistician, part designer, and part storyteller. In his bestselling book Visualize This, Nathan Yau introduced you to the tools and programming techniques for visualization. Now, in Data Points, he explores the thinking process that helps you create original, meaningful visualizations that your audience will both understand and remember. Here's how to make your data mean something.

• Discover what data is and what you can learn from it
• Learn how to explore your data, find the story, and bring it to life
• Understand visualization as a medium that lets you present and express meaning in data
• Tap into your creative side and determine the most effective way to tell your story
• Compare tools for exploration and analysis
• Allow data, the story, and your goals to dictate visualization techniques with geometry, traditional charts, maps, color, art, and even humor

Aus dem Klappentext

Reveal the story your data has to tell

To create effective data visualizations, you must be part statistician, part designer, and part storyteller. In his bestselling book Visualize This, Nathan Yau introduced you to the tools and programming techniques for visualization. Now, in Data Points, he explores the thinking process that helps you create original, meaningful visualizations that your audience will both understand and remember. Here's how to make your data mean something.

• Discover what data is and what you can learn from it
• Learn how to explore your data, find the story, and bring it to life
• Understand visualization as a medium that lets you present and express meaning in data
• Tap into your creative side and determine the most effective way to tell your story
• Compare tools for exploration and analysis
• Allow data, the story, and your goals to dictate visualization techniques with geometry, traditional charts, maps, color, art, and even humor

Details zur Ausgabe

• Verlag: Wiley
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 111846219X
• ISBN 13: 9781118462195
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 320
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland