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index.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Diverging Stacked Bar Chart with D3.js</title>
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
</style>
<script src="http://cdnjs.cloudflare.com/ajax/libs/d3/3.4.13/d3.min.js"></script>
<script src="http://raw.githubusercontent.com/eligrey/FileSaver.js/master/FileSaver.min.js"></script>
<!-- canvg -->
<script type="text/javascript" src="http://gabelerner.github.io/canvg/rgbcolor.js"></script>
<script type="text/javascript" src="http://gabelerner.github.io/canvg/StackBlur.js"></script>
<script type="text/javascript" src="http://gabelerner.github.io/canvg/canvg.js"></script>
</head>
<body>
<h1>Diverging Stacked Bar Chart</h1>
<p><a href="#" onclick="javascript:saveSVG()">Save SVG</a></p>
<p><a href="#" onclick="javascript:savePNG()">Save PNG</a></p>
<div id="figure" style="margin-bottom: 50px;"></div>
<div>
<canvas id="mycanvas" width="800px" height="600px"></canvas>
</div>
<script>
function saveSVG()
{
var element = document.getElementById('d3-plot');
var svgAsString = new XMLSerializer().serializeToString(element);
var svgBlob = new Blob([svgAsString], {type: "image/svg+xml;charset=utf-8"});
saveAs(svgBlob, "figure.svg");
}
function savePNG()
{
var canvas = document.getElementById("mycanvas"), ctx = canvas.getContext("2d");
canvas.toBlob(function(blob) {
saveAs(blob, "figure.png");
});
}
var margin = {top: 50, right: 20, bottom: 10, left: 65},
width = 800 - margin.left - margin.right,
height = 600 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.rangeRoundBands([0, height], .3);
var x = d3.scale.linear()
.rangeRound([0, width]);
var color = d3.scale.ordinal()
.range(["#c7001e", "#f6a580", "#cccccc", "#92c6db", "#086fad"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("top");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
var svg = d3.select("#figure").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr("id", "d3-plot")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
color.domain(["Strongly disagree", "Disagree", "Neither agree nor disagree", "Agree", "Strongly agree"]);
d3.csv("raw_data.csv", function(error, data) {
data.forEach(function(d) {
// calc percentages
d["Strongly disagree"] = +d[1]*100/d.N;
d["Disagree"] = +d[2]*100/d.N;
d["Neither agree nor disagree"] = +d[3]*100/d.N;
d["Agree"] = +d[4]*100/d.N;
d["Strongly agree"] = +d[5]*100/d.N;
var x0 = -1*(d["Neither agree nor disagree"]/2+d["Disagree"]+d["Strongly disagree"]);
var idx = 0;
d.boxes = color.domain().map(function(name) { return {name: name, x0: x0, x1: x0 += +d[name], N: +d.N, n: +d[idx += 1]}; });
});
var min_val = d3.min(data, function(d) {
return d.boxes["0"].x0;
});
var max_val = d3.max(data, function(d) {
return d.boxes["4"].x1;
});
x.domain([min_val, max_val]).nice();
y.domain(data.map(function(d) { return d.Question; }));
svg.append("g")
.attr("class", "x axis")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
var vakken = svg.selectAll(".question")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(0," + y(d.Question) + ")"; });
var bars = vakken.selectAll("rect")
.data(function(d) { return d.boxes; })
.enter().append("g").attr("class", "subbar");
bars.append("rect")
.attr("height", y.rangeBand())
.attr("x", function(d) { return x(d.x0); })
.attr("width", function(d) { return x(d.x1) - x(d.x0); })
.style("fill", function(d) { return color(d.name); });
bars.append("text")
.attr("x", function(d) { return x(d.x0); })
.attr("y", y.rangeBand()/2)
.attr("dy", "0.5em")
.attr("dx", "0.5em")
.style("font" ,"10px sans-serif")
.style("text-anchor", "begin")
.text(function(d) { return d.n !== 0 && (d.x1-d.x0)>3 ? d.n : "" });
vakken.insert("rect",":first-child")
.attr("height", y.rangeBand())
.attr("x", "1")
.attr("width", width)
.attr("fill-opacity", "0.5")
.style("fill", "#F5F5F5")
.attr("class", function(d,index) { return index%2==0 ? "even" : "uneven"; });
svg.append("g")
.attr("class", "y axis")
.append("line")
.attr("x1", x(0))
.attr("x2", x(0))
.attr("y2", height);
var startp = svg.append("g").attr("class", "legendbox").attr("id", "mylegendbox");
// this is not nice, we should calculate the bounding box and use that
var legend_tabs = [0, 120, 200, 375, 450];
var legend = startp.selectAll(".legend")
.data(color.domain().slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(" + legend_tabs[i] + ",-45)"; });
legend.append("rect")
.attr("x", 0)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", 22)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "begin")
.style("font" ,"10px sans-serif")
.text(function(d) { return d; });
d3.selectAll(".axis path")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
d3.selectAll(".axis line")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
var movesize = width/2 - startp.node().getBBox().width/2;
d3.selectAll(".legendbox").attr("transform", "translate(" + movesize + ",0)");
// print the svg in a canvas
var element = document.getElementById('d3-plot');
var svgAsString = new XMLSerializer().serializeToString(element);
canvg(document.getElementById('mycanvas'), svgAsString );
});
</script>
</body>
</html>