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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

Arrangement


You have established how you are going to represent your data, you've identified your visual identity through color, the choices around static or interactive design have been rationalized, and you have identified the range of annotation requirements.

For our final layer, we need to consider how to arrange our design in terms of the layout, placement, and organization of all visible elements. How can we piece everything together most effectively?

As we've just discussed in relation to annotation, our intention with the arrangement and architecture of our design is to deliver as intuitive an experience as possible. The level of intuitiveness and smooth access into the subject matter is strongly influenced by the logic and implied meaning behind the arrangement of our chart elements, the interactive features, and annotation devices.

The key overall aim is to reduce the amount of work the eye has to undertake to navigate around the design and to decipher the sequence and hierarchy...

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