Book Image

Data Visualization with D3 4.x Cookbook - Second Edition

By : Nick Zhu
Book Image

Data Visualization with D3 4.x Cookbook - Second Edition

By: Nick Zhu

Overview of this book

Master D3.js and create amazing visualizations with the Data Visualization with D3 4.x Cookbook. Written by professional data engineer Nick Zhu, this D3.js cookbook features over 65 recipes. ? Solve real-world visualization problems using D3.js practical recipes ? Understand D3 fundamentals ? Includes illustrations, ready-to-go code samples and pre-built chart recipes
Table of Contents (21 chapters)
Data Visualization with D3 4.x Cookbook - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...