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jleonard99/gist:7057780

Created October 19, 2013 15:58
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sample HTML file using d3 library.
Raw
gistfile1.txt
<!doctype HTML>
<meta charset = 'utf-8'>
<html>
<head>
<link rel='stylesheet' href='http://timelyportfolio.github.io/rCharts_d3_sankey/libraries/widgets/d3_sankey/css/sankey.css'>
<script src='http://timelyportfolio.github.io/rCharts_d3_sankey/libraries/widgets/d3_sankey/js/d3.v3.js' type='text/javascript'></script>
<script src='http://timelyportfolio.github.io/rCharts_d3_sankey/libraries/widgets/d3_sankey/js/sankey.js' type='text/javascript'></script>
<style>
.rChart {
display: block;
margin-left: auto;
margin-right: auto;
width: 512px;
height: 400px;
}
</style>
</head>
<body>
<div id='sankey1' class='rChart d3_sankey'></div>
<!--Attribution:
Mike Bostock https://github.com/d3/d3-plugins/tree/master/sankey
Mike Bostock http://bost.ocks.org/mike/sankey/
-->
<script>
(function(){
var params = {
"dom": "sankey1",
"width": 512,
"height": 400,
"data": {
"source": [ "DSS ($155M 9%)", "GENX-ICR ($143M 9%)", "GENX-Other ($48M 3%)", "GENX-State Approp ($201M 12%)", "GENX-Tuition ($283M 17%)", "GTF ($98M 6%)", "DSS ($155M 9%)", "DSS ($155M 9%)", "DSS ($155M 9%)", "DSS ($155M 9%)", "GENX-ICR ($143M 9%)", "GENX-Other ($48M 3%)", "GENX-Tuition ($283M 17%)", "GTF ($98M 6%)", "DSS ($155M 9%)", "GENX-Other ($48M 3%)", "GENX-State Approp ($201M 12%)", "GENX-Tuition ($283M 17%)", "GTF ($98M 6%)", "Sponsored ($482M 29%)", "GTAA ($16M 1%)", "Agency Funds ($158M 10%)", "Endowments ($2M 0%)", "DSS ($155M 9%)", "DSS ($155M 9%)", "GENX-ICR ($143M 9%)", "GENX-Other ($48M 3%)", "GENX-ResCons ($6M 0%)", "GENX-State Approp ($201M 12%)", "GENX-Tuition ($283M 17%)", "GTF ($98M 6%)", "Plant Funds ($30M 2%)", "Sponsored ($482M 29%)", "Student activities ($20M 1%)", "DSS ($155M 9%)", "GENX-State Approp ($201M 12%)", "GTF ($98M 6%)", "GTRC ($15M 1%)", "Sponsored ($482M 29%)", "DSS ($155M 9%)", "GENX-ICR ($143M 9%)", "GENX-Other ($48M 3%)", "GENX-State Approp ($201M 12%)", "GENX-Tuition ($283M 17%)", "GTF ($98M 6%)", "GTRC ($15M 1%)", "Sponsored ($482M 29%)", "DSS ($155M 9%)", "Agency Funds ($158M 10%)", "GTF ($98M 6%)", "Sponsored ($482M 29%)", "GENX-Tuition ($283M 17%)", "GTF ($98M 6%)", "Student activities ($20M 1%)", "DSS ($155M 9%)" ],
"target": [ "Academic Support ($53M 3%)", "Academic Support ($53M 3%)", "Academic Support ($53M 3%)", "Academic Support ($53M 3%)", "Academic Support ($53M 3%)", "Academic Support ($53M 3%)", "Food Services ($23M 1%)", "Health Services ($7M 0%)", "Housing ($45M 3%)", "Institute Support ($66M 4%)", "Institute Support ($66M 4%)", "Institute Support ($66M 4%)", "Institute Support ($66M 4%)", "Institute Support ($66M 4%)", "Instruction ($239M 14%)", "Instruction ($239M 14%)", "Instruction ($239M 14%)", "Instruction ($239M 14%)", "Instruction ($239M 14%)", "Instruction ($239M 14%)", "Intercollegiate Athletics ($16M 1%)", "Other codes ($111M 7%)", "Other codes ($111M 7%)", "Other Service Units ($5M 0%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Plant ($231M 14%)", "Public Service ($36M 2%)", "Public Service ($36M 2%)", "Public Service ($36M 2%)", "Public Service ($36M 2%)", "Public Service ($36M 2%)", "Research ($671M 40%)", "Research ($671M 40%)", "Research ($671M 40%)", "Research ($671M 40%)", "Research ($671M 40%)", "Research ($671M 40%)", "Research ($671M 40%)", "Research ($671M 40%)", "Stores and Shops ($14M 1%)", "Student aid ($92M 6%)", "Student aid ($92M 6%)", "Student aid ($92M 6%)", "Student Services ($35M 2%)", "Student Services ($35M 2%)", "Student Services ($35M 2%)", "Transportation and Parking ($14M 1%)" ],
"value": [ 1.041, 1.073, 1.13, 5.539, 41.977, 2.3, 22.636, 7.066, 45.419, 2.497, 22.333, 23.261, 42.023, 2.786, 18.765, 7.695, 106.17, 86.878, 13.082, 6.257, 16.272, 109.16, 1.664, 5.275, 3.73, 49.107, 13.944, 5.897, 17.825, 64.19, 37.783, 30.027, 6.48, 1.574, 2.5, 8.274, 3.05, 1.182, 19.595, 17.826, 70.608, 1.643, 90.404, 33.911, 17.531, 13.752, 425.62, 13.812, 49.079, 19.944, 23.106, 13.977, 1.941, 18.396, 13.869 ]
},
"nodeWidth": 25,
"nodePadding": 8,
"layout": 32,
"id": "sankey1"
};
params.units ? units = " " + params.units : units = "";
//hard code these now but eventually make available
var formatNumber = d3.format("0,.0f"), // zero decimal places
format = function(d) { return formatNumber(d) + units; },
color = d3.scale.category20();
if(params.labelFormat){
formatNumber = d3.format(".2%");
}
var svg = d3.select('#' + params.id).append("svg")
.attr("width", params.width)
.attr("height", params.height);
var sankey = d3.sankey()
.nodeWidth(params.nodeWidth)
.nodePadding(params.nodePadding)
.layout(params.layout)
.size([params.width,params.height]);
var path = sankey.link();
var data = params.data,
links = [],
nodes = [];
//get all source and target into nodes
//will reduce to unique in the next step
//also get links in object form
data.source.forEach(function (d, i) {
nodes.push({ "name": data.source[i] });
nodes.push({ "name": data.target[i] });
links.push({ "source": data.source[i], "target": data.target[i], "value": +data.value[i] });
});
//now get nodes based on links data
//thanks Mike Bostock https://groups.google.com/d/msg/d3-js/pl297cFtIQk/Eso4q_eBu1IJ
//this handy little function returns only the distinct / unique nodes
nodes = d3.keys(d3.nest()
.key(function (d) { return d.name; })
.map(nodes));
//it appears d3 with force layout wants a numeric source and target
//so loop through each link replacing the text with its index from node
links.forEach(function (d, i) {
links[i].source = nodes.indexOf(links[i].source);
links[i].target = nodes.indexOf(links[i].target);
});
//now loop through each nodes to make nodes an array of objects rather than an array of strings
nodes.forEach(function (d, i) {
nodes[i] = { "name": d };
});
sankey
.nodes(nodes)
.links(links)
.layout(params.layout);
var link = svg.append("g").selectAll(".link")
.data(links)
.enter().append("path")
.attr("class", "link")
.attr("d", path)
.style("stroke-width", function (d) { return Math.max(1, d.dy); })
.sort(function (a, b) { return b.dy - a.dy; });
link.append("title")
.text(function (d) { return d.source.name + " → " + d.target.name + "\n" + format(d.value); });
var node = svg.append("g").selectAll(".node")
.data(nodes)
.enter().append("g")
.attr("class", "node")
.attr("transform", function (d) { return "translate(" + d.x + "," + d.y + ")"; })
.call(d3.behavior.drag()
.origin(function (d) { return d; })
.on("dragstart", function () { this.parentNode.appendChild(this); })
.on("drag", dragmove));
node.append("rect")
.attr("height", function (d) { return d.dy; })
.attr("width", sankey.nodeWidth())
.style("fill", function (d) { return d.color = color(d.name.replace(/ .*/, "")); })
.style("stroke", function (d) { return d3.rgb(d.color).darker(2); })
.append("title")
.text(function (d) { return d.name + "\n" + format(d.value); });
node.append("text")
.attr("x", -6)
.attr("y", function (d) { return d.dy / 2; })
.attr("dy", ".35em")
.attr("text-anchor", "end")
.attr("transform", null)
.text(function (d) { return d.name; })
.filter(function (d) { return d.x < params.width / 2; })
.attr("x", 6 + sankey.nodeWidth())
.attr("text-anchor", "start");
// the function for moving the nodes
function dragmove(d) {
d3.select(this).attr("transform",
"translate(" + (
d.x = Math.max(0, Math.min(params.width - d.dx, d3.event.x))
) + "," + (
d.y = Math.max(0, Math.min(params.height - d.dy, d3.event.y))
) + ")");
sankey.relayout();
link.attr("d", path);
}
})();
</script>
</body>
</html>
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