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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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Working with arrays


Most of our data is stored in arrays, and we spend a lot of our effort working with arrays to format and restructure data. This is why D3 provides a rich set of array-oriented utilities functions, making this task a lot easier. In this recipe, we will explore some of the most common and helpful utilities in this aspect.

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/working-with-array.html .

How to do it...

The following code example shows some of the most common and helpful array utility functions offered by the D3 library and their effects:

<script type="text/javascript"> 
    // Static html code were omitted due to space constraint 
 
    var array = [3, 2, 11, 7, 6, 4, 10, 8, 15]; 
    d3.select("#min").text(d3.min(array)); 
    d3.select("#max").text(d3.max(array)); 
    d3.select("#extent").text(d3.extent(array)); 
    d3.select...
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Data Visualization with D3 4.x Cookbook
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