Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics

Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics


By (author) Nathan Yau

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  • Publisher: John Wiley & Sons Ltd
  • Format: Paperback | 384 pages
  • Dimensions: 188mm x 230mm x 22mm | 880g
  • Publication date: 20 July 2011
  • Publication City/Country: Chichester
  • ISBN 10: 0470944889
  • ISBN 13: 9780470944882
  • Sales rank: 26,613

Product description

Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

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Author information

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. You can follow his visualization experiments at

Back cover copy

See your data in new ways Our world is awash in data. To mean anything, it must be presented in a way that enables us to interpret, analyze, and apply the information. One of the best ways to do that is visually. Nathan Yau is a pioneer of this innovative approach. In this book, he offers you dozens of ideas for telling your story with data presented in creative, visual ways. Open the book, open your mind, and discover an almost endless variety of ways to give your data new dimensions. Learn to present data with visual representations that allow your audience to see the unexpected Find the stories your data can tell Explore different data sources and determine effective formats for presentation Experiment with and compare different visualization tools Look for trends and patterns in your data and select appropriate ways to chart them Establish clear goals to guide your visualizations Visit the companion web site at for code samples, data files you can download, and interactive examples to show you how visualization works

Table of contents

Introduction. 1 Telling Stories with Data. More Than Numbers. What to Look For. Design. Wrapping Up. 2 Handling Data. Gather Data. Formatting Data. Wrapping Up. 3 Choosing Tools to Visualize Data. Out-of-the-Box Visualization. Programming. Illustration. Mapping. Survey Your Options. Wrapping Up. 4 Visualizing Patterns over Time. What to Look for over Time. Discrete Points in Time. Continuous Data. Wrapping Up. 5 Visualizing Proportions. What to Look for in Proportions. Parts of a Whole. Proportions over Time. Wrapping Up. 6 Visualizing Relationships. What Relationships to Look For. Correlation. Distribution. Comparison. Wrapping Up. 7 Spotting Differences. What to Look For. Comparing across Multiple Variables. Reducing Dimensions. Searching for Outliers. Wrapping Up. 8 Visualizing Spatial Relationships. What to Look For. Specific Locations. Regions. Over Space and Time. Wrapping Up. 9 Designing with a Purpose. Prepare Yourself. Prepare Your Readers. Visual Cues. Good Visualization. Wrapping Up. Index.