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@pjsier
Created July 28, 2017 23:40
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Slopegraph
license: mit
<!DOCTYPE html>
<html>
<head>
<title>Slopegraph</title>
<meta name="viewport" content="initial-scale=1.0, user-scalable=no" />
<meta charset='utf-8' />
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="//d3js.org/d3-scale-chromatic.v0.3.min.js"></script>
<style>
div {
max-width: 600px;
}
#chart {
display: block;
width: 100%;
height: 500px;
}
text {
font-family: Verdana, sans-serif;
font-size: 11px;
}
.line {
fill: none;
stroke-width: 2;
stroke-opacity: 0.7;
}
.overlay {
fill: none;
pointer-events: all;
}
.mouse-tooltip {
font-weight: bold;
text-anchor: middle;
}
</style>
</head>
<body>
<div>
<svg id="chart"></svg>
</div>
<script src="script.js"></script>
</body>
</html>
// Margin convention from https://bl.ocks.org/mbostock/3019563
var margin = {top: 30, right: 25, bottom: 50, left: 25};
var width = parseInt(d3.select("#chart").style("width")) - margin.left - margin.right;
var height = parseInt(d3.select("#chart").style("height")) - margin.top - margin.bottom;
var svg = d3.select("#chart")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var slopeData = [
{demographic: "Black Men 20-29", count250: 33810, count300: 27030, count350: 3983},
{demographic: "Black Women 20-29", count250: 11631, count300: 8730, count350: 490},
{demographic: "Hispanic Men 20-29", count250: 15565, count300: 10940, count350: 792},
{demographic: "Hispanic Women 20-29", count250: 3198, count300: 2269, count350: 72},
{demographic: "White Men 20-29", count250: 5185, count300: 3504, count350: 118},
{demographic: "White Women 20-29", count250: 1777, count300: 1204, count350: 21}
];
var padding = 10;
var y = d3.scaleLinear()
.domain([21, 33810])
.rangeRound([height, 0]);
var z = d3.scaleOrdinal(d3.schemePaired);
var RACE_SEX_GROUPS = [
"Black Men 20-29", "Black Women 20-29", "Hispanic Men 20-29",
"Hispanic Women 20-29", "White Men 20-29", "White Women 20-29"
];
z.domain(RACE_SEX_GROUPS);
// For handling indices later on
var sorted300 = slopeData.sort(function(a, b) { return b.count300 - a.count300 }).map(function(d) { return d.demographic; });
var sorted350 = slopeData.sort(function(a, b) { return b.count350 - a.count350 }).map(function(d) { return d.demographic; });
function resize() {
width = parseInt(d3.select("#chart").style("width")) - margin.left - margin.right,
height = parseInt(d3.select("#chart").style("height")) - margin.top - margin.bottom;
y.rangeRound([height, 0]);
svg.selectAll("text.end-vals")
.attr("x", width-100);
svg.selectAll("line")
.attr("x2", width-100-padding);
};
(function() {
// Create markers to use on lines later
var defs = d3.select("#chart").append("defs");
defs.selectAll("marker")
.data(RACE_SEX_GROUPS)
.enter().append("marker")
.attr("id", function(d) { return "marker_" + d.replace(/ /g, "_"); })
.attr("markerWidth", 10)
.attr("markerHeight", 10)
.attr("refX", 5)
.attr("refY", 5)
.append("circle")
.attr("cx", 5)
.attr("cy", 5)
.attr("r", 1.5)
.attr("fill", function(d) { return z(d); });
var labelVals = svg.append("g")
.attr("class", "labels")
.selectAll("text")
.data(slopeData)
.enter();
labelVals.append("text")
.attr("class", "start-vals")
.attr("text-anchor", "end")
.attr("alignment-baseline", "central")
.attr("x", 100)
.attr("y", function(d) { return y(d.count250);})
.text(function(d) { return d.demographic.substring(0,d.demographic.length-6)+ " " + d3.format(".2s")(d.count250); });
labelVals.append("text")
.attr("class", "end-vals")
.attr("text-anchor", "start")
.attr("alignment-baseline", "central")
.attr("x", width-100)
.attr("y", function(d) {
// For handling collisions in >= 350
if (d.count350 <= 500) {
return y(500)+(sorted350.indexOf(d.demographic)*12)-15;
}
return y(d.count350);
})
.text(function(d) { return d.demographic.substring(0,d.demographic.length-6) + " " + d3.format(".2s")(d.count350); });
svg.select("g.labels")
.append("text")
.attr("class", "start-top")
.attr("text-anchor", "end")
.attr("x", 100)
.attr("y", -15)
.attr("font-weight", "bold")
.text("# Scores >= 250");
svg.select("g.labels")
.append("text")
.attr("class", "end-top end-vals")
.attr("text-anchor", "start")
.attr("x", width-100)
.attr("y", -15)
.attr("font-weight", "bold")
.text("# Scores >= 350");
svg.append("g")
.attr("class", "lines")
.selectAll("line")
.data(slopeData)
.enter()
.append("line")
.attr("x1", 100+padding)
.attr("x2", width-100-padding)
.attr("y1", function(d) { return y(d.count250); })
.attr("y2", function(d) { return y(d.count350); })
.attr("marker-start", function(d) { return "url(#marker_" + d.demographic.replace(/ /g, "_") + ")"})
.attr("marker-end", function(d) { return "url(#marker_" + d.demographic.replace(/ /g, "_") + ")"})
.style("stroke-width", "2")
.style("stroke-linecap", "round")
.style("stroke", function(d) { return z(d.demographic); });
d3.select(window).on("resize", resize);
resize();
})()
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