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Data Visualization: a successful design process

You're reading from   Data Visualization: a successful design process

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Product type Paperback
Published in Dec 2012
Publisher Packt
ISBN-13 9781849693462
Length 206 pages
Edition 1st Edition
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Author (1):
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Andy Kirk Andy Kirk
Author Profile Icon Andy Kirk
Andy Kirk
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Table of Contents (13) Chapters Close

Data Visualization: a successful design process
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. The Context of Data Visualization FREE CHAPTER 2. Setting the Purpose and Identifying Key Factors 3. Demonstrating Editorial Focus and Learning About Your Data 4. Conceiving and Reasoning Visualization Design Options 5. Taxonomy of Data Visualization Methods 6. Constructing and Evaluating Your Design Solution Index

Using visual analysis to find stories


The following is a quote from Ben Schneiderman:

"Visualization gives you answers to questions you didn't know you had."

In the Chapter 2, Setting the Purpose and Identifying Key Factors, we discussed the different intentions and motives you might have for developing a data visualization. In most cases we think of it as something we create and provide to others. What we sometimes neglect to consider is the potential of visualization for ourselves, when we are the intended users looking to discover insights about a subject.

This is where we consider the application of visual analysis. Visually analyzing a dataset, and employing both inductive and deductive reasoning, enables us—as the designer—to learn more about our subject by exploring a dataset from all directions.

As Ben Schneiderman articulates above, and as we saw through the demonstration of Francis Anscombe's experiment, rather than just looking at data, we are using visualization to actually see it...

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