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Data Visualization with D3.js Cookbook

You're reading from  Data Visualization with D3.js Cookbook

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Pages 338 pages
Edition 1st Edition
Languages
Author (1):
Nick Zhu Nick Zhu
Profile icon Nick Zhu

Table of Contents (21) Chapters

Data Visualization with D3.js Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Getting Started with D3.js Be Selective Dealing with Data Tipping the Scales Playing with Axes Transition with Style Getting into Shape Chart Them Up Lay Them Out Interacting with your Visualization Using Force Know your Map Test Drive your Visualization Building Interactive Analytics in Minutes Index

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 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/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 way to...

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