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Data Visualization with D3.js Cookbook

You're reading from   Data Visualization with D3.js Cookbook Turn your digital data into dynamic graphics with this exciting, leading-edge cookbook. Packed with recipes and practical guidance it will quickly make you a proficient user of the D3 JavaScript library.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Length 338 pages
Edition 1st Edition
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Author (1):
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Nick Zhu Nick Zhu
Author Profile Icon Nick Zhu
Nick Zhu
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with D3.js FREE CHAPTER 2. Be Selective 3. Dealing with Data 4. Tipping the Scales 5. Playing with Axes 6. Transition with Style 7. Getting into Shape 8. Chart Them Up 9. Lay Them Out 10. Interacting with your Visualization 11. Using Force 12. Know your Map 13. Test Drive your Visualization A. Building Interactive Analytics in Minutes Index

Introduction


As a data visualization developer, one key task that you need to perform over and over is to map values from your data domain to visual domain, for example, mapping your most recent purchase of a fancy tablet of $453.00 to a 653px-long bar, and your last night's pub bill of $23.59 to a 34px-long bar, respectively. In a sense, this is what data visualization is all about—mapping data elements to their visual metaphor in an efficient and accurate manner. Because this is an absolutely essential task in data visualization and animation (animation will be discussed in Chapter 6, Transition with Style, in detail), D3 provides rich and robust support on this topic, which is the focus of this chapter.

What are scales?

D3 provides various constructs called scales to help you perform this kind of mapping. Proper understanding of these constructs conceptually is crucial to become an effective visualization developer. This is because scales are not only used to perform the mapping we have...

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