Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
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 flowingdata.com, 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
- 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.
1 Telling Stories with Data.
More Than Numbers.
What to Look For.
2 Handling Data.
3 Choosing Tools to Visualize Data.
Survey Your Options.
4 Visualizing Patterns over Time.
What to Look for over Time.
Discrete Points in Time.
5 Visualizing Proportions.
What to Look for in Proportions.
Parts of a Whole.
Proportions over Time.
6 Visualizing Relationships.
What Relationships to Look For.
7 Spotting Differences.
What to Look For.
Comparing across Multiple Variables.
Searching for Outliers.
8 Visualizing Spatial Relationships.
What to Look For.
Over Space and Time.
9 Designing with a Purpose.
Prepare Your Readers.
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Data is ever-increasing and can be overwhelming to organize in a way that makes sense to its audience. To mean anything, it must be presented in a way that enables people to interpret, analyze, and apply the information, and one of the best ways to do that is visually. The New York Times, for example, designs data graphics that allows readers to see what the data has to say and explore the data themselves. Now, Nathan Yau, a pioneer of this innovative approach, has written Visualize This: The FlowingData Guide to Design, Visualization and Statistics (Wiley; $39.99; July 2011; ISBN: 9780470944882) to offer readers dozens of ideas for telling a story with their own data presented in creative, visual ways.
- Present data with visual representations that allow the audience to see the unexpected
- Find the stories 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 data and select appropriate ways to chart them
- Establish clear goals to guide visualizations
Complete with a companion web site at www.wiley.com/go/visualizethis, it provides code samples, data files, and interactive examples to reveal how visualization works. Visualize This demonstrates how to explain data visually so that readers can present information in a way that is easy to understand and is appealing to viewers. Inside the book, professionals will discover an almost endless variety of ways to give data new dimensions.
About the Author
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 http://flowingdata.com.
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