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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
Getting Started with D3.js Be Selective Dealing with Data Tipping the Scales Playing with Axes Transition with Style Getting into Shape Chart Them Up Lay Them Out Interacting with your Visualization Using Force Know your Map Test Drive your Visualization Building Interactive Analytics in Minutes Index

Dynamic rescaling of axes


In some cases, the scale used by axes might change when triggered by user interaction or changes from data feeds. For example, a user might change the time range for the visualization. This kind of change also needs to be reflected by rescaling the axes. In this recipe, we will explore how this can be achieved dynamically while also redrawing the grid lines associated with each tick.

Getting Ready

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

https://github.com/NickQiZhu/d3-cookbook/blob/master/src/chapter5/rescaling.html

How to do it...

Here is the code showing how to perform dynamic rescaling:

<script type="text/javascript">
    var height = 500, 
        width = 500, 
        margin = 25,
        xAxis, yAxis, xAxisLength, yAxisLength;
    
    var svg = d3.select("body").append("svg")     
            .attr("class", "axis")    
            .attr("width", width)
            .attr("height", height);
    
    function renderXAxis(){
       ...
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