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<html lang="en">
<head>
<meta charset="utf-8">
<title>Scatterplot-Trivariate</title>
<script type="text/javascript" src="https://d3js.org/d3.v4.min.js"></script>
<style type="text/css">
</style>
</head>
<body>
<script type="text/javascript">
var w = 1000;
var h = 500;
var dataset;
d3.csv("county_crime_sample.csv", function(csv_data) {
dataset = csv_data;
var margin = {top: 50, right: 100, bottom: 50, left: 100};
var svg = d3.select("body")
.append("svg")
.attr("width", w)
.attr("height", h);
svg.append("text")
.attr("x", (w)/2)
.attr("y", (margin.top / 4))
.attr("text-anchor", "middle")
.attr("font-weight","bold")
.style("font-size", "16px")
.style("text-decoration", "underline")
.text("Scatterplot-Trivariate using County crime data");
w = svg.attr("width") - margin.left - margin.right;
h = svg.attr("height") - margin.top - margin.bottom;
//+- operator is used for type conversion
csv_data.forEach(function(d) {
d.Totals_Violent_All = +d.Totals_Violent_All;
d.Population = +d.Population;
d.Totals_Property_All = +d.Totals_Property_All;
});
var o = d3.scaleOrdinal()
.domain([d3.min(csv_data, function(d) { return d.Population; }),d3.max(csv_data, function(d) { return d.Population; })])
.range([3.5, 8.5]);
var xScale = d3.scaleLinear()
.domain([d3.min(csv_data, function(d) { return d.Totals_Violent_All;}),d3.max(csv_data, function(d) { return d.Totals_Violent_All;})])
.range([0, w]);
var yScale = d3.scaleLinear()
.domain([d3.min(csv_data, function(d) { return d.Totals_Property_All; }),d3.max(csv_data, function(d) { return d.Totals_Property_All; })])
.range([h,0]);
var rScale = d3.scaleLinear()
.domain([d3.min(csv_data, function(d) { return d.Population; }),d3.max(csv_data, function(d) { return d.Population; })])
.range([3.5,8.5]);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//by default 1em = 16px if font size is not set for any element
g.append("g")
.attr("class", "x-axis")
.attr("transform", "translate(0," + h + ")")
.call(d3.axisBottom(xScale).ticks(10));
g.append("g")
.attr("class", "y-axis")
.call(d3.axisLeft(yScale).ticks(10))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end");
g.selectAll(".dot")
.data(csv_data)
.enter().append("circle")
.attr("class", "dot")
.attr("r", function(d) { return rScale(d.Population); })
.attr("cx", function(d) { return xScale(d.Totals_Violent_All); })
.attr("cy", function(d) { return yScale(d.Totals_Property_All); })
.style("fill", "#CD5C5C")
.style("stroke", " #D3D3D3");
var legend = svg.selectAll(".legend")
.data(o.domain())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(900," + (i+1) * 75 + ")"; });
legend.append("circle")
.attr("class", "dot")
.attr("r", function(d) { return rScale(d); })
.attr("cx", function(d) { return 0; })
.attr("cy", function(d) { return 0; })
.style("fill", "#CD5C5C")
.style("stroke", "#D3D3D3");;
legend.append("text")
.attr("x", 20)
.attr("y", 0)
.attr("dy", ".35em")
.style("text-anchor", "start")
.text(function(d) { return d; });
svg.append("text")
.attr("text-anchor", "middle")
.attr("transform", "translate("+ (margin.left/4) +","+(h/2)+")rotate(-90)")
.attr("font-weight","bold")
.text("No of Property related crimes");
svg.append("text")
.attr("text-anchor", "end")
.attr("transform", "translate("+ (w/2 + margin.left) +","+(h + margin.top + margin.bottom)+")")
.attr("font-weight","bold")
.text("No of Violence related crimes");
});
</script>
</body>
</html>
https://d3js.org/d3.v4.min.js