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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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Toc

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

Binding object literals as data


With a more complex visualization, each element we have in a data array might not be a primitive integer value or a string, but a JavaScript object themselves. In this recipe, we will discuss how this more complex data structure can be leveraged to drive your visualization using D3.

Getting Ready

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

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

How to do it...

JavaScript object literal is probably the most common data structure you will encounter when loading data sources on the Web. In this recipe, we will look at how these JavaScript objects can be leveraged to generate rich visualization. Here is how to do it in code:

var data = [ // <- A
        {width: 10, color: 23},{width: 15, color: 33},
        {width: 30, color: 40},{width: 50, color: 60},
        {width: 80, color: 22},{width: 65, color: 10},
        {width: 55, color: 5},{width: 30, color: 30},...
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