This is the code for Chapter 4, Figure 16 from D3.js in Action that draws a boxplot using numerous SVG elements appended to a g element and drawn based on the datapoint bound to that g element.
Ch. 4, Fig. 16 - D3.js in Action
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day | min | max | median | q1 | q3 | number | |
---|---|---|---|---|---|---|---|
1 | 14 | 65 | 33 | 20 | 35 | 22 | |
2 | 25 | 73 | 25 | 25 | 30 | 170 | |
3 | 15 | 40 | 25 | 17 | 28 | 185 | |
4 | 18 | 55 | 33 | 28 | 42 | 135 | |
5 | 14 | 66 | 35 | 22 | 45 | 150 | |
6 | 22 | 70 | 34 | 28 | 42 | 170 | |
7 | 14 | 65 | 33 | 30 | 50 | 28 |
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<html> | |
<head> | |
<title>D3 in Action Chapter 4 - Example 8</title> | |
<meta charset="utf-8" /> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script> | |
</head> | |
<style> | |
svg { | |
height: 500px; | |
width: 500px; | |
border: 1px solid gray; | |
} | |
line { | |
shape-rendering: crispEdges; | |
stroke: #000000; | |
} | |
line.minor { | |
stroke: #777777; | |
stroke-dasharray: 2,2; | |
} | |
path.domain { | |
fill: none; | |
stroke: black; | |
} | |
</style> | |
<body> | |
<div id="viz"> | |
<svg> | |
</svg> | |
</div> | |
</body> | |
<footer> | |
<script> | |
d3.csv("boxplot.csv", scatterplot) | |
function scatterplot(data) { | |
xScale = d3.scale.linear().domain([1,8]).range([20,470]); | |
yScale = d3.scale.linear().domain([0,100]).range([480,20]); | |
yAxis = d3.svg.axis() | |
.scale(yScale) | |
.orient("right") | |
.ticks(8) | |
.tickSize(-470) | |
.tickSubdivide(true); | |
d3.select("svg").append("g") | |
.attr("transform", "translate(470,0)") | |
.attr("id", "yAxisG") | |
.call(yAxis); | |
xAxis = d3.svg.axis() | |
.scale(xScale) | |
.orient("bottom") | |
.tickSize(-470) | |
.tickValues([1,2,3,4,5,6,7]); | |
d3.select("svg").append("g") | |
.attr("transform", "translate(0,480)") | |
.attr("id", "xAxisG") | |
.call(xAxis); | |
d3.select("svg").selectAll("circle.median") | |
.data(data) | |
.enter() | |
.append("circle") | |
.attr("class", "tweets") | |
.attr("r", 5) | |
.attr("cx", function(d) {return xScale(d.day)}) | |
.attr("cy", function(d) {return yScale(d.median)}) | |
.style("fill", "darkgray"); | |
d3.select("svg").selectAll("g.box") | |
.data(data) | |
.enter() | |
.append("g") | |
.attr("class", "box") | |
.attr("transform", function(d) {return "translate(" + xScale(d.day) +"," + yScale(d.median) + ")"}) | |
.each(function(d,i) { | |
d3.select(this) | |
.append("line") | |
.attr("class", "range") | |
.attr("x1", 0) | |
.attr("x2", 0) | |
.attr("y1", yScale(d.max) - yScale(d.median)) | |
.attr("y2", yScale(d.min) - yScale(d.median)) | |
.style("stroke", "black") | |
.style("stroke-width", "4px"); | |
d3.select(this) | |
.append("line") | |
.attr("class", "max") | |
.attr("x1", -10) | |
.attr("x2", 10) | |
.attr("y1", yScale(d.max) - yScale(d.median)) | |
.attr("y2", yScale(d.max) - yScale(d.median)) | |
.style("stroke", "black") | |
.style("stroke-width", "4px"); | |
d3.select(this) | |
.append("line") | |
.attr("class", "min") | |
.attr("x1", -10) | |
.attr("x2", 10) | |
.attr("y1", yScale(d.min) - yScale(d.median)) | |
.attr("y2", yScale(d.min) - yScale(d.median)) | |
.style("stroke", "black") | |
.style("stroke-width", "4px"); | |
d3.select(this) | |
.append("rect") | |
.attr("class", "range") | |
.attr("width", 20) | |
.attr("x", -10) | |
.attr("y", yScale(d.q3) - yScale(d.median)) | |
.attr("height", yScale(d.q1) - yScale(d.q3)) | |
.style("fill", "white") | |
.style("stroke", "black") | |
.style("stroke-width", "2px"); | |
d3.select(this) | |
.append("line") | |
.attr("x1", -10) | |
.attr("x2", 10) | |
.attr("y1", 0) | |
.attr("y2", 0) | |
.style("stroke", "darkgray") | |
.style("stroke-width", "4px"); | |
}) | |
} | |
</script> | |
</footer> | |
</html> |
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