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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.
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.
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.
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