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Data Visualization with D3 4.x Cookbook

Data Visualization with D3 4.x Cookbook - Second Edition

By : Nick Zhu
2.3 (3)
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Data Visualization with D3 4.x Cookbook

Data Visualization with D3 4.x Cookbook

2.3 (3)
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 (15 chapters)
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Using the time scale

Often, we will need to create visualization on a dataset that has time and date dimensions; therefore, D3 provides a built-in time scale to help perform this type of mapping. In this recipe, we will learn how to use the D3 time scale.

Getting ready

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

https://github.com/NickQiZhu/d3-cookbook-v2/blob/master/src/chapter4/time-scale.html .

How to do it...

First, let's take a look at the following code example:

<div id="time" class="clear"> 
    <span>Linear Time Progression<br></span> 
    <span>Mapping [01/01/2016, 12/31/2016] to [0, 1200]<br></span> 
</div> 
 
<script type="text/javascript"> 
    var start = new Date(2016, 0, 1), // <-A 
        end = new Date(2016, 11, 31), 
        range = [0, 1200], 
        time = d3.scaleTime().domain([start, end]) // <-B 
            .rangeRound(range), // <-C 
        max = 12...
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Data Visualization with D3 4.x Cookbook
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