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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
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 (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

Implementing drag behavior

Another common behavior in interactive visualization that we will cover in this chapter is drag. Drag is useful to provide capabilities in visualization allowing graphical rearrangement or even user input through force, which we will discuss in the next chapter. In this recipe we will explore how drag behavior is supported in D3.

Getting ready

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

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter10/drag.html.

How to do it...

Here, we will produce four circles that can be dragged using D3 drag behavior support and additionally with SVG boundary detection while dragging. Now, let's see how to implement this in code:

<script type="text/javascript">
    var width = 960, height = 500, r = 50;

    var data = [
        [width / 2 - r, height / 2 - r],
        [width / 2 - r, height / 2 + r],
        [width / 2 + r, height / 2 - r],
        [width / 2 + r, height / 2 + r]
    ...
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