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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

Clarifying the purpose of your project


We start at the very beginning. Why are we doing this project? What is its purpose?

These might seem like blunt questions to ask but it is so important to establish this type of clarity before we go much further. You might think: "please can we just get on with it?" and you're probably itching to get on to a computer and start playing with some data, but these initial few stages of this methodology are very deliberately designed to get you in to the habit of this type of reflective or analytical assessment.

If you look at a dictionary definition for "purpose", it will usually say something similar to: reason for existing, intended effect. These two dimensions neatly capture the focus of our definition work at this point in the journey.

The reason for existing

Let's start with the reason for existing. This is about recognizing the trigger behind the project or the origin from where it emerged. This gives us an idea of the scope and context of what we are...

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