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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 (21) Chapters Close

Data Visualization with D3 4.x Cookbook - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
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 Building Interactive Analytics in Minutes

Interpolating a string


In some cases, you might need to interpolate numbers embedded in a string; perhaps a CSS style for font, for example.

In this recipe, we will examine how you can do that using D3 scale and interpolation. However, before we jump right into string interpolation, a bit of background knowledge on interpolator is due, and the following section will cover the basics of what interpolation is and how D3 implements interpolator functions.

Interpolator

In the first three recipes, we went over three different D3 scale implementations; now it is time to delve a little deeper into D3 scales. You are probably already asking the question, How do different scales know what value to use for different inputs? In fact, this question can be generalized through the following definition of interpolator:

We are given the values of a function f(x) at different points x0, x1, ... ,xn. We want to find approximate values of the function f(x) for "new" x's that lie between these points. This process...

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