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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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Toc

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

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 pixilation as its bitmap counterpart would. Zooming is especially useful when you are dealing with large dataset when it is impractical or impossible to visualize the entire dataset, 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-v2/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 the following code:

<script type="text/javascript"> 
    var width = 600, height = 350, r = 50; 
 
    var data = [ 
        [width / 2 - r, height / 2...
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