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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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Toc

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

Binding functions as data


One of the benefits of D3's excellent support for functional-style JavaScript programming is that it allows functions to be treated as data as well. This particular feature can offer some very powerful capabilities under certain circumstances. This is a more advanced recipe. Don't worry about it if you are new to D3 and have some difficulty understanding it at first. Over time, this functional programming usage will become natural to you.

Getting ready

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

https://github.com/NickQiZhu/d3-cookbook-v2/blob/master/src/chapter3/function-as-data.html .

How to do it...

In this recipe, we will explore the possibility of binding functions as data to your visual elements. This capability is extremely powerful and flexible, if used correctly:

<div id="container"></div> 
 
<script type="text/javascript"> 
    var data = []; // <- A 
    var datum = function (x) { // <- B 
...
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