Graph showing diabetes diagnosis in Pittsburgh and its suburbs via nesting.
This data is from the Allegheny County / City of Pittsburgh / Western PA Regional Data Center published on data.gov.
forked from curran's block: Colored Bar Chart
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<html>
<head>
<meta charset="utf-8">
<title>D3 Example</title>
<script src="//cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<link href='https://fonts.googleapis.com/css?family=Open+Sans' rel='stylesheet' type='text/css'>
<style>
.axis text {
font-family: 'Open Sans', sans-serif;
font-size: 20pt;
}
.axis .label {
font-size: 20pt;
}
.axis path, .axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis text {
font-size: 20pt;
}
</style>
</head>
<body>
<script>
var outerWidth = 960;
var outerHeight = 500;
var margin = { left: 90, top: 16, right: 30, bottom: 85 };
var barPadding = 0.2;
var xColumn = d => d.key;
var yColumn = d => d.values.diagnosed;
//var yColumn1 = d => d.values.total;
var colorColumn = xColumn;//d => d.values.diagnosed;
var layerColumn = d => d.values.diagnosed;
var innerWidth = outerWidth - margin.left - margin.right;
var innerHeight = outerHeight - margin.top - margin.bottom;
var svg = d3.select("body").append("svg")
.attr("width", outerWidth)
.attr("height", outerHeight);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var xAxisG = g.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + innerHeight + ")");
var yAxisG = g.append("g")
.attr("class", "y axis");
var xScale = d3.scale.ordinal().rangeBands([0, innerWidth], barPadding);
var yScale = d3.scale.linear().range([innerHeight, 0]);
var colorScale = d3.scale.category10();
// Use a modified SI formatter that uses "B" for Billion.
var siFormat = d3.format("s");
var customTickFormat = function (d){
return siFormat(d).replace("G", "B");
};
var xAxis = d3.svg.axis().scale(xScale).orient("bottom")
.outerTickSize(0);
var yAxis = d3.svg.axis().scale(yScale).orient("left")
.ticks(5)
.tickFormat(customTickFormat)
.outerTickSize(0);
function render(data){
xScale.domain( data.map( function (d){ return xColumn(d); }));
yScale.domain([0, d3.max(data, function (d){ return yColumn(d); })]);
colorScale.domain(data.map(function (d){ return colorColumn(d); }));
xAxisG
.call(xAxis)
.selectAll("text")
.attr("dx", "-0.4em")
.attr("dy", "1.24em")
.attr("transform", "rotate(-16)" );
yAxisG.call(yAxis);
var bars = g.selectAll("rect").data(data);
bars.enter().append("rect")
.attr("width", xScale.rangeBand());
bars
.attr("x", function (d){ return xScale(xColumn(d)); })
.attr("y", function (d){ return yScale(yColumn(d)); })
.attr("height", function (d){ return innerHeight - yScale(yColumn(d)); })
.attr("fill", function (d){ return colorScale(colorColumn(d)); });
bars.exit().remove();
}
function type(d){
//d.population = +d.population;
d.TotalEnrollment=+d.TotalEnrollment;
d.TotalDiagnosed=+d.TotalDiagnosed;
return d;
}
d3.csv("diabetes2015Label.csv", type, (dataRaw=>{
var data = d3.nest()
.key(function(d) { return d.PittOrSub; })
.rollup(function(v) { return {
total: d3.sum(v, function(d) { return d.TotalEnrolled; }),
diagnosed: d3.sum(v, function(d) {return d.TotalDiagnosed;})
}; })
.entries(dataRaw);
render(data)}));
//render));
</script>
</body>
</html>
https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js