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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

Binding an array as data

One of the most common and popular ways to define data in D3 visualization is through the use of JavaScript arrays; for example, say you have multiple data elements stored in an array, and you want to generate corresponding visual elements to represent each and every one of them. Additionally, when the data array gets updated, you would want your visualization to reflect such changes immediately. In this recipe, we will accomplish this common approach.

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/array-as-data.html .

How to do it...

The first and most natural solution that might come to mind is iterating through the data array elements and generating their corresponding visual elements on the page. This is definitely a valid solution, and it will work with D3; however, the enter-update-exit pattern we discussed in the introduction provides a much easier and more efficient...

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