This is the code for Chapter 4, Figure 12 from D3.js in Action creates a scatterplot from the median values from a dataset loaded from CSV.
<html>
<head>
<title>D3 in Action Chapter 4 - Example 6</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>
<div id="controls" />
</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]);
console.log(data)
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");
}
</script>
</footer>
</html>
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