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Now you see it : simple visualization techniques for quantitative analysis

Author: Stephen Few
Publisher: Oakland, Calif. : Analytics Press, ©2009.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Before you can present information to others, you must know its story. Now You See It teaches simple, fundamental, and practical techniques that anyone can use to make sense of numbers. These techniques rely on something that almost everyone has--vision--using graphs to discover trends, patterns, and exceptions that reside in quantitative information and interactions with those graphs to uncover what the  Read more...
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Genre/Form: Statistics
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Stephen Few
ISBN: 9780970601988 0970601980
OCLC Number: 262888363
Description: xi, 327 pages : illustrations (some color), color maps, charts ; 29 cm
Contents: Introduction --
pt. I. Building core skills for visual analysis --
Information visualization --
Prerequisites for enlightening analysis --
Thinking with our eyes --
Analytical interaction and navigation --
Analytical techniques and practices --
Analytical patterns --
pt. II. Honing skills for diverse types of visual analysis --
Time-series analysis --
Part-to-whole and ranking analysis --
Deviation analysis --
Distribution analysis --
Correlation analysis --
Multivariate analysis --
pt. III. Further thoughts and hopes --
Promising trends in information visualization --
Wisdom in the age of information.
Responsibility: Stephen Few.

Abstract:

"Before you can present information to others, you must know its story. Now You See It teaches simple, fundamental, and practical techniques that anyone can use to make sense of numbers. These techniques rely on something that almost everyone has--vision--using graphs to discover trends, patterns, and exceptions that reside in quantitative information and interactions with those graphs to uncover what the discoveries mean. Although some questions about quantitative data can only be answered using sophisticated statistical techniques, most can be answered using simple visualizations--quantitative sense-making methods that can be used by people with little statistical training"--Back cover.

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