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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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Table of Contents (21) Chapters Close

Data Visualization with D3 4.x Cookbook - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
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 Building Interactive Analytics in Minutes

Loading data from a server


It is probably very rare that you will only be visualizing static local data. The power of data visualization usually lays on the ability to visualize dynamic data typically generated by a server-side program. Since this is a common use case, D3 comes with some handy helper functions to make this task as easy as possible. In this recipe, we will see how a remote dataset can be loaded dynamically and will update an existing visualization once it is loaded.

Getting ready

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

https://github.com/NickQiZhu/d3-cookbook-v2/blob/master/src/chapter3/asyn-data-load.html .

How to do it...

In the code example of the asyn-data-load.html file, we will load data dynamically from the server on the user's request, and once the data is loaded, we will also update our visualization to reflect the new expanded dataset. The following is the code for its implementation:

<div id="chart"></div> 
 
<script...
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