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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 zoom and pan behavior


Zooming and panning are common and useful techniques in data visualization, which work particularly well with SVG based visualization since vector graphic does not suffer from pixelation as its bitmap counterpart would. Zooming is especially useful when dealing with large data set when it is impractical or impossible to visualize the entire data set, thus a zoom and drill-down approach needs to be employed. In this recipe we will explore D3's built-in support for both zooming and panning.

Getting ready

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

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

How to do it...

In this recipe we will implement geometric zooming and panning using D3 zoom support. Let's see how this is done 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],
  ...
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