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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 transition filter


Under some circumstances, you might find it necessary to selectively apply transition to a subset of a certain selection. In this recipe, we will explore this effect using data-driven transition filtering techniques.

Getting Ready

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

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter6/filtering.html

How to do it...

In this recipe, we will move a set of div elements (or boxes) across the web page from right to left. After moving all the boxes to the left, we selectively move only the boxes that are marked with Cat back, so they won't fight each other. Let's see the following code:

<script type="text/javascript">
    var data = ["Cat", "Dog", "Cat", "Dog", "Cat", "Dog", "Cat", "Dog"],
        duration = 1500;

    d3.select("body").selectAll("div")
            .data(data)
        .enter()
        .append("div")
            .attr("class", "fixed-cell")
            .style("top", function (d,...
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