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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

Annotation


Here is a quote from Amanda Cox ():

"The annotation layer is the most important thing we do... otherwise it's a case of here it is, you go figure it out."

Our next layer is one that can often be neglected. However, as this quote suggests, annotating visualization is such an important features of our design. It is about taking care of your audience, recognizing who they are, what they might know already, and what they don't know.

Done well, annotation can help explain and facilitate the viewing and interpretive experience. It is the challenge of creating a layer of user assistance and user insight: how can you maximize the clarity and value of engaging with this visualization design?

As discussed in the first chapter, a key objective for effective data visualization design is the facilitation of accessibility into a subject through intuitive design. The degree of accessibility is enhanced through the effective inclusion of useful explanation across all features of your visualization...

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