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
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
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.
關於作者：
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.
目錄：
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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