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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

Data visualization methods


The common definition for taxonomy comes from the biological sciences and refers to the organization into groups of members that share similar characteristics. In this case, the members are chart types and the shared characteristic is based on the primary data portrayal function.

Selecting the appropriate visualization method will be influenced by the definition work you undertook earlier in the methodology to clarify the intention of your visualization communication.

It is about starting the journey towards identifying the most suitable way to answer your main data questions: how are you going to show, what it is you want to say.

Here is an outline of the primary communication purpose of each method classification:

Method classification

Communication purpose

Comparing categories

To facilitate comparisons between the relative and absolute sizes of categorical values. The classic example would be the bar chart.

Assessing hierarchies and part-to-whole relationships...

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