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Data Visualization with D3.js Cookbook

You're reading from  Data Visualization with D3.js Cookbook

Product type Book
Published in Oct 2013
Publisher Packt
ISBN-13 9781782162162
Pages 338 pages
Edition 1st Edition
Languages
Author (1):
Nick Zhu Nick Zhu
Profile icon Nick Zhu

Table of Contents (21) Chapters

Data Visualization with D3.js Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with D3.js 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 Building Interactive Analytics in Minutes Index

Using the ordinal scale


In some cases, we might need to map our data to some ordinal values, for example, ["a", "b", "c"] or ["#1f77b4", "#ff7f0e", "#2ca02c"]. So, how can we perform this kind of mapping using D3 scales? This recipe is dedicated to address this kind of question.

Getting Ready

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

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter4/ordinal-scale.html

How to do it...

This kind of ordinal mapping is quite common in data visualization. For example, you might want to map certain data points through categorization into some textual value or perhaps into RGB color code, which in turn can be used in CSS styling. D3 offers a specialized scale implementation to handle this kind of mapping. We will explore its usage here. Here is the code of the ordinal.scale.html file:

<div id="alphabet" class="clear">
    <span>Ordinal Scale with Alphabet</span>
    <span>Mapping [1..10] to ["a".."j"]&lt...
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