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Visualize This The FlowingData Guide to Design, Visualization, and Statistics

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ISBN-10: 0470944889

ISBN-13: 9780470944882

Edition: 2011

Authors: Nathan Yau

List price: $26.99
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Description:

Visualize This is a guide on how to visualize and tell stories with data, providing practical design tips complemented with step-by-step tutorials. It begins with a description of the huge growth of data and visualization in industry, news, and gov't and opportunities for those who tell stories with data. Logically it moves on to actual stories in data-statistical ones with trends and human stories. the technical part comes up quickly with how to gather, parse and format data with Python, R, Excel, Google docs, etc and details tools to visualize data-native graphics for the Web like ActionScript, Flash libraries, PHP, JavaScript, CSS, HTML. Every chapter provides an example as well. Patterns over time and kinds of data charts are followed by proportions, chart types and examples. Next, examples and descriptions of outliers and how to show them, different kinds of maps, how to guide your readers and explain the data "in the visualization". The book ends with a value-add appendix on graphical perception.
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Book details

List price: $26.99
Copyright year: 2011
Publisher: John Wiley & Sons, Limited
Publication date: 7/8/2011
Binding: Paperback
Pages: 384
Size: 7.25" wide x 9.25" long x 1.00" tall
Weight: 2.112
Language: English

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