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boxplot.html
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<!DOCTYPE html>
<html lang="en">
<head>
<!-- AdThrive Head Tag Manual -->
<script data-no-optimize="1" data-cfasync="false">
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w.adthrive = w.adthrive || {};
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gtag("js", new Date());
gtag("config", "UA-79254642-6");
</script>
<meta charset="utf-8" />
<title>Boxplot | the D3 Graph Gallery</title>
<meta
name="viewport"
content="width=device-width, initial-scale=1, shrink-to-fit=no"
/>
<meta
name="description"
content="How to build a boxplot 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,boxplot"
/>
<meta name="author" content="Yan Holtz" />
<link rel="icon" href="img/logo/D3_single_small.png" />
<meta property="og:title" content="Boxplot | the D3 Graph Gallery" />
<meta property="og:image" content="img/overview_RGG.png" />
<meta
property="og:description"
content="How to build a boxplot with Javascript and D3.js: from the most basic example to highly customized examples."
/>
<!-- Bootstrap core CSS -->
<link href="vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet" />
<!-- Custom fonts for this template -->
<link
href="vendor/font-awesome/css/font-awesome.min.css"
rel="stylesheet"
type="text/css"
/>
<link
href="https://fonts.googleapis.com/css?family=Montserrat:400,700"
rel="stylesheet"
type="text/css"
/>
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href="https://fonts.googleapis.com/css?family=Kaushan+Script"
rel="stylesheet"
type="text/css"
/>
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href="https://fonts.googleapis.com/css?family=Droid+Serif:400,700,400italic,700italic"
rel="stylesheet"
type="text/css"
/>
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href="https://fonts.googleapis.com/css?family=Roboto+Slab:400,100,300,700"
rel="stylesheet"
type="text/css"
/>
<!-- Custom styles for this template -->
<link href="css/agency.css" rel="stylesheet" />
<!-- JQUERY -->
<script src="vendor/jquery/jquery.min.js"></script>
<!-- d3.v4 and Plugin for color scale -->
<script src="js/d3.v4.js"></script>
<script src="https://d3js.org/d3-scale-chromatic.v1.min.js"></script>
</head>
<body id="page-top">
<!-- THIS ALLOWS TO INSERT THE MENU THAT IS STORED IN A MENU.HTML FILE-->
<nav class="navbar navbar-expand-lg fixed-top" id="mainNav"></nav>
<script>
$(function () {
$("#mainNav").load("html_chunk/menu.html");
});
</script>
<!-- THIS ALLOWS TO INSERT THE MODAL OF THE MENU THAT IS STORED IN A MENU_MODAL.HTML FILE-->
<div id="modal_menu_insertion"></div>
<script>
$(function () {
$("#modal_menu_insertion").load("html_chunk/menu_modal.html");
});
</script>
<!-- Header -->
<header class="masthead" style="padding-top: 150px; padding-bottom: 80px">
<div class="textlanding">
<h1>Boxplot</h1>
<hr class="short_hr" />
<br />
<ul class="list-inline social-buttons">
<li class="list-inline-item">
<a href="https://twitter.com/R_Graph_Gallery">
<i class="fa fa-twitter"></i>
</a>
</li>
<li class="list-inline-item social-buttons">
<a href="https://github.com/holtzy">
<i class="fa fa-github" style="color: white"></i>
</a>
</li>
<li class="list-inline-item social-buttons">
<a href="https://www.linkedin.com/in/yan-holtz-2477534a/">
<i class="fa fa-linkedin"></i>
</a>
</li>
<li class="list-inline-item social-buttons">
<a href="https://www.yan-holtz.com">
<i class="fa fa-home"></i>
</a>
</li>
</ul>
<br /><br />
<p style="max-width: 700px; margin: auto">
This is the
<a href="https://www.data-to-viz.com/caveat/boxplot.html">boxplot</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/caveat/boxplot.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>
</div>
</header>
<!-- THIS ALLOWS TO INSERT THE ADVERTISEMENT BANNER THAT IS STORED IN A BANNER.HTML FILE-->
<div id="position_for_images"></div>
<script>
$(function () {
$("#position_for_images").load("html_chunk/images.html");
});
</script>
<!-- ======================== PORTFOLIO SECTION ============================ --><!-- Images must be 480 x 480, resize them with ./script_reformat_img.sh output_name.png -->
<section class="bg" id="portfolio" style="padding-top: 10px">
<div class="container">
<div class="mySeryTitle">Step by step</div>
<hr />
<div id="portfolio-items" class="row">
<div class="col-md-4 col-sm-6 portfolio-item">
<a class="portfolio-link" href="graph/boxplot_basic.html">
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<p>Most basic</p>
<hr />
<p class="explanation_portfolio">
The most basic boxplot you can do in d3.js. Keeping only the
core code. Starts with an array of data.
</p>
</div>
</div>
<img class="img-fluid" src="img/graph/boxplot_basic.png" alt="" />
</a>
</div>
<div class="col-md-4 col-sm-6 portfolio-item">
<a class="portfolio-link" href="graph/boxplot_several_groups.html">
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<p>With several group</p>
<hr />
<p class="explanation_portfolio">
A boxplot with several groups. It extends the technique used
on the previous chart. The tricky part is to computed
summary statistics for each group.
</p>
</div>
</div>
<img
class="img-fluid"
src="img/graph/boxplot_several_groups.png"
alt=""
/>
</a>
</div>
<div class="col-md-4 col-sm-6 portfolio-item">
<a
class="portfolio-link"
href="graph/boxplot_show_individual_points.html"
>
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<p>Show individual data points</p>
<hr />
<p class="explanation_portfolio">
The major downside of boxplot is that it hides the
underlying data points. It is a good practice to show them
using jitter. Learn how with this example.
</p>
</div>
</div>
<img
class="img-fluid"
src="img/graph/boxplot_show_individual_points.png"
alt=""
/>
</a>
</div>
</div>
<br /><br />
<div class="mySeryTitle">Template</div>
<hr />
<p>
Here is the template I'm starting with when in need for a boxplot in
my work. See the code
<a href="graph/boxplot_horizontal.html">here</a>.
</p>
<div class="row">
<div class="col-lg-12">
<center><div id="boxplot_template"></div></center>
</div>
</div>
<br /><br />
<div class="mySeryTitle">Related blocks</div>
<hr />
</div>
</section>
<!-- ======================================================================= -->
<!-- ============================ JAVASCRIPT BOXPLOT TEMPLATE ============================ -->
<!-- Tooltip style -->
<style>
.tooltip {
background-color: black;
border: none;
border-radius: 5px;
padding: 15px;
min-width: 200px;
text-align: left;
color: white;
}
svg {
border: 1px solid #e8e8e8;
border-radius: 6px;
}
</style>
<script>
// set the dimensions and margins of the graph
var margin = { top: 10, right: 30, bottom: 50, left: 70 },
width = 760 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3
.select("#boxplot_template")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// Read the data and compute summary statistics for each specie
d3.csv(
"https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/iris.csv",
function (data) {
// Compute quartiles, median, inter quantile range min and max --> these info are then used to draw the box.
var sumstat = d3
.nest() // nest function allows to group the calculation per level of a factor
.key(function (d) {
return d.Species;
})
.rollup(function (d) {
q1 = d3.quantile(
d
.map(function (g) {
return g.Sepal_Length;
})
.sort(d3.ascending),
0.25
);
median = d3.quantile(
d
.map(function (g) {
return g.Sepal_Length;
})
.sort(d3.ascending),
0.5
);
q3 = d3.quantile(
d
.map(function (g) {
return g.Sepal_Length;
})
.sort(d3.ascending),
0.75
);
interQuantileRange = q3 - q1;
min = q1 - 1.5 * interQuantileRange;
max = q3 + 1.5 * interQuantileRange;
return {
q1: q1,
median: median,
q3: q3,
interQuantileRange: interQuantileRange,
min: min,
max: max,
};
})
.entries(data);
// Show the Y scale
var y = d3
.scaleBand()
.range([height, 0])
.domain(["setosa", "versicolor", "virginica"])
.padding(0.4);
svg
.append("g")
.call(d3.axisLeft(y).tickSize(0))
.select(".domain")
.remove();
// Show the X scale
var x = d3.scaleLinear().domain([4, 8]).range([0, width]);
svg
.append("g")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).ticks(5))
.select(".domain")
.remove();
// Color scale
var myColor = d3
.scaleSequential()
.interpolator(d3.interpolateInferno)
.domain([4, 8]);
// Add X axis label:
svg
.append("text")
.attr("text-anchor", "end")
.attr("x", width)
.attr("y", height + margin.top + 30)
.text("Sepal Length");
// Show the main vertical line
svg
.selectAll("vertLines")
.data(sumstat)
.enter()
.append("line")
.attr("x1", function (d) {
return x(d.value.min);
})
.attr("x2", function (d) {
return x(d.value.max);
})
.attr("y1", function (d) {
return y(d.key) + y.bandwidth() / 2;
})
.attr("y2", function (d) {
return y(d.key) + y.bandwidth() / 2;
})
.attr("stroke", "black")
.style("width", 40);
// rectangle for the main box
svg
.selectAll("boxes")
.data(sumstat)
.enter()
.append("rect")
.attr("x", function (d) {
return x(d.value.q1);
}) // console.log(x(d.value.q1)) ;
.attr("width", function (d) {
return x(d.value.q3) - x(d.value.q1);
}) //console.log(x(d.value.q3)-x(d.value.q1))
.attr("y", function (d) {
return y(d.key);
})
.attr("height", y.bandwidth())
.attr("stroke", "black")
.style("fill", "#69b3a2")
.style("opacity", 0.3);
// Show the median
svg
.selectAll("medianLines")
.data(sumstat)
.enter()
.append("line")
.attr("y1", function (d) {
return y(d.key) + y.bandwidth() / 2;
})
.attr("y2", function (d) {
return y(d.key) + y.bandwidth() / 2;
})
.attr("x1", function (d) {
return x(d.value.median);
})
.attr("x2", function (d) {
return x(d.value.median);
})
.attr("stroke", "black")
.style("width", 80);
// create a tooltip
var tooltip = d3
.select("#boxplot_template")
.append("div")
.style("opacity", 0)
.attr("class", "tooltip")
.style("font-size", "16px");
// Three function that change the tooltip when user hover / move / leave a cell
var mouseover = function (d) {
tooltip.transition().duration(200).style("opacity", 1);
tooltip
.html(
"<span style='color:grey'>Sepal length: </span>" +
d.Sepal_Length
) // + d.Prior_disorder + "<br>" + "HR: " + d.HR)
.style("left", d3.mouse(this)[0] + 30 + "px")
.style("top", d3.mouse(this)[1] + 30 + "px");
};
var mousemove = function (d) {
tooltip
.style("left", d3.mouse(this)[0] + 30 + "px")
.style("top", d3.mouse(this)[1] + 30 + "px");
};
var mouseleave = function (d) {
tooltip.transition().duration(200).style("opacity", 0);
};
// Add individual points with jitter
var jitterWidth = 60;
svg
.selectAll("indPoints")
.data(data)
.enter()
.append("circle")
.attr("cx", function (d) {
return x(d.Sepal_Length);
})
.attr("cy", function (d) {
return (
y(d.Species) +
y.bandwidth() / 2 -
jitterWidth / 2 +
Math.random() * jitterWidth
);
})
.attr("r", 6)
.style("fill", function (d) {
return myColor(+d.Sepal_Length);
})
.attr("stroke", "black")
.on("mouseover", mouseover)
.on("mousemove", mousemove)
.on("mouseleave", mouseleave);
}
);
</script>
<!-- ============================ RELATED SECTION ============================ -->
<section
class="bg-light"
id="portfolio_landing"
style="padding-top: 30px; padding-bottom: 30px"
>
<div class="container">
<p class="mySeryTitle">Related chart types</p>
<hr />
<div class="row">
<div class="col-md-2 col-sm-4 portfolio-item">
<a class="portfolio-link" href="violin.html">
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<i class="fa fa-plus fa-3x"></i>
</div>
</div>
<img class="img-fluid" src="img/section/Violin150.png" alt="" />
</a>
<div class="captionPortfolio">Violin</div>
</div>
<div class="col-md-2 col-sm-4 portfolio-item">
<a class="portfolio-link" href="density.html">
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<i class="fa fa-plus fa-3x"></i>
</div>
</div>
<img class="img-fluid" src="img/section/Density150.png" alt="" />
</a>
<div class="captionPortfolio">Density</div>
</div>
<div class="col-md-2 col-sm-4 portfolio-item">
<a class="portfolio-link" href="histogram.html">
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<i class="fa fa-plus fa-3x"></i>
</div>
</div>
<img
class="img-fluid"
src="img/section/Histogram150.png"
alt=""
/>
</a>
<div class="captionPortfolio">Histogram</div>
</div>
<div class="col-md-2 col-sm-4 portfolio-item">
<a class="portfolio-link" href="boxplot.html">
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<i class="fa fa-plus fa-3x"></i>
</div>
</div>
<img class="img-fluid" src="img/section/Box1150.png" alt="" />
</a>
<div class="captionPortfolio">Boxplot</div>
</div>
<div class="col-md-2 col-sm-4 portfolio-item">
<a class="portfolio-link" href="ridgeline.html">
<div class="portfolio-hover">
<div class="portfolio-hover-content">
<i class="fa fa-plus fa-3x"></i>
</div>
</div>
<img class="img-fluid" src="img/section/Joyplot150.png" alt="" />
</a>
<div class="captionPortfolio">Ridgeline</div>
</div>
</div>
</div>
</section>
<!-- ============================ CONTACT SECTION ============================ -->
<!-- ANCHOR -->
<a name="contactanchor"></a>
<section id="contact" class="bg" style="background-color: white"></section>
<!-- THIS ALLOWS TO INSERT THE CONTACT CHUNK THAT IS STORED IN A CONTACT.HTML FILE-->
<script>
$(function () {
$("#contact").load("html_chunk/contact.html");
});
</script>
<!-- ============================ FOOTER SECTION ============================ -->
<footer class="bg-light" id="myFooter"></footer>
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type="text/javascript"
async
src="https://btloader.com/tag?o=5698917485248512&upapi=true&domain=d3-graph-gallery.com"
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"true" === t && (r(), c()),
(t = a()),
e++;
}, 50)));
},
};
})().init();
})();
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$("#myFooter").load("html_chunk/footer.html");
});
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</body>
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