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density.html
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<!DOCTYPE html>
<html lang="en">
<head>
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<title>Density Chart | the D3 Graph Gallery</title>
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<meta name="description" content="How to build a density plot with Javascript and D3.js: from the most basic example to highly customized examples.">
<meta name="keywords" content="Data,Dataviz,Datavisualization,Javascript,D3,D3.js,density chart">
<meta name="author" content="Yan Holtz">
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<meta property="og:title" content="Density Chart | the D3 Graph Gallery">
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<meta property="og:description" content="How to build a density plot with Javascript and D3.js: from the most basic example to highly customized examples.">
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<div class="textlanding">
<h1>Density plot</h1>
<hr class="short_hr">
<br>
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<p style="max-width: 700px; margin: auto">Welcome in the <a href="https://www.data-to-viz.com/graph/density.html">density plot</a> section of the gallery. If you want to know more about this kind of chart, visit <a href="https://www.data-to-viz.com/graph/density.html">data-to-viz.com</a>. If you're looking for a simple way to implement it in d3.js, pick an example below.</p>
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<div class="mySeryTitle">Step by step</div>
<hr>
<p>A <a href="https://www.data-to-viz.com/graph/density.html">density plot</a> shows the distribution of a <u>numeric</u> variable. In the following examples, a <u>kernel density estimation</u> is always used. The result can then be plotted using the <code>d3.line()</code> function. </p>
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<p>Most basic</p>
<hr>
<p class="explanation_portfolio">The most basic density plot you can do in d3.js. Keeping only the core code.</p>
</div>
</div>
<img class="img-fluid" src="img/graph/density_basic.png" alt="">
</a>
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<p>Plot several groups</p>
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<p class="explanation_portfolio">Plotting several variables together allows to compare their distribution.<br><br>Here is how to do.</p>
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<p>Back to back density plot</p>
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<p class="explanation_portfolio">The mirror or back to back density plot is a variation allowing to compare the distribution of 2 groups.</p>
</div>
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<img class="img-fluid" src="img/graph/density_mirror.png" alt="">
</a>
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<div class="mySeryTitle">Interactivity</div>
<hr>
<p>Playing with the <code>bandwidth</code> argument of your density plot is a crucial step to avoid <a href="https://www.data-to-viz.com/caveat/bin_size.html">over or under-smoothing</a>. Thus, adding a slider that controls this value can be a great use of interactivity. Of course, interactivity can also be used to filter or change input dataset.</p>
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<p>Slider to control bandwidth</p>
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<p class="explanation_portfolio">Slider update the bandwidth used for kernel density estimation with a smooth transition.</p>
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<p>Dropdown to filter data</p>
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<p class="explanation_portfolio">Dropdown allows to filter data, keeping one group or the other.</p>
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</a>
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<div class="mySeryTitle">Selection of blocks</div>
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<p>A selection of highly customized charts to see how to go further with density plots.</p>
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<p>Density and Histogram</p>
<hr>
<p class="explanation_portfolio">A block by Mike Bostock showing how to combine histogram and density plot.</p>
</div>
</div>
<img class="img-fluid showBlock" src="img/block/block_densityHist.png" alt="double bubble plot">
</a>
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