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Data Visualization with D3 4.x Cookbook

You're reading from   Data Visualization with D3 4.x Cookbook Visualization Strategies for Tackling Dirty Data

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786468253
Length 380 pages
Edition 2nd Edition
Languages
Tools
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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 (15) 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. Knowing Your Map 13. Test Drive Your Visualization Appendix. Building Interactive Analytics in Minutes

Using ease


Transition can be thought of as a function of time. It is a function that maps time progression into numeric value progression, which then results in object motion (if the numeric value is used for positioning) or morphing (if the value is used to describe other visual attributes). Time always travels at a constant pace; in other words, time progression is uniform (unless you are doing visualization near a black hole, of course); however, the resulting value progression does not need to be uniform. Easing is a standard technique to provide flexibility and control to this kind of mapping. When a transition generates a uniform value progression, it is called linear easing. D3 provides support for different types of easing capabilities, and in this recipe, we will explore different built-in D3 easing functions, as well as how to implement custom easing functions with D3 transition.

Getting Ready

Open your local copy of the following file in your web browser:

https://github.com/NickQiZhu...

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