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.block
license: mit
Raw
README.md
Raw
index.html
<!DOCTYPE html>
<meta charset="utf-8">
<title>SANKEY Experiment</title>
<style>
body {
font-family: Helvetica;
font-size:0.6em;
}
.node rect {
cursor: move;
fill-opacity: .9;
shape-rendering: crispEdges;
}
.node text {
pointer-events: none;
text-shadow: 0 1px 0 #fff;
}
.link {
fill: none;
stroke: #000;
}
.link:hover {
stroke-opacity: .5;
}
</style>
<body>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="sankey.js"></script>
<script>
console.clear()
var units = "percent",
iterations = 0;
// set the dimensions and margins of the graph
var margin = {top: 10, right: 10, bottom: 10, left: 10},
width = 420 - margin.left - margin.right,
height = 690 - margin.top - margin.bottom;
// format variables
var formatNumber = d3.format(",.0f"), // zero decimal places
format = function(d) { return formatNumber(d) + " " + units; }
// append the svg object to the body of the page
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")");
// Set the sankey diagram properties
var sankey = d3.sankey()
.nodeWidth(2)
.nodePadding(2)
.size([width, height]);
var path = sankey.link();
// load the data
d3.json("sankey.json", function(error, graph) {
sankey
.nodes(graph.nodes)
.links(graph.links)
.layout(iterations);
// add in the links
var link = svg.append("g").selectAll(".link")
.data(graph.links)
.enter().append("path")
.attr("class", "link")
.attr("d", path)
.style("stroke-width", function(d) { return Math.max(1, d.dy); })
.style("stroke", (d) => color(d.source.name))
.style("opacity", (d) => 1)
.sort(function(a, b) { return b.dy - a.dy; });
// add the link titles
/*
link.append("title")
.text(function(d) {
return d.source.label + " → " +
d.target.label + "\n" + format(d.value); });*/
// add in the nodes
var node = svg.append("g").selectAll(".node")
.data(graph.nodes)
.enter().append("g")
.attr("class", "node")
.attr("transform", function(d) {
return "translate(" + d.x + "," + d.y + ")"; })
.call(d3.drag()
.subject(function(d) {
return d;
})
.on("start", function() {
this.parentNode.appendChild(this);
})
.on("drag", dragmove));
// add the rectangles for the nodes
node.append("rect")
.attr("height", function(d) { return d.dy; })
.attr("width", sankey.nodeWidth())
.style("fill", (d) => color(d.name))
.text(function(d) {
return d.name + "\n" + format(d.value); });
// add in the title for the nodes
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((d)=> d.name + ': ' + Math.round(d.value * 100) + '%')
.filter(function(d) { return d.x < 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 + ","
+ (d.y = Math.max(
0, Math.min(height - d.dy, d3.event.y))
) + ")");
sankey.relayout();
link.attr("d", path);
}
});
function color(s) {
switch(s) {
case "Non-communicable diseases":
return '#009a93'
case "_Misc":
return '#009cde'
case "_Injuries":
return '#006ab4'
}
return '#ccc'
}
function opacity(s) {
switch(s) {
case "Cancers":
return 0.2
case "Cardiovascular disease":
return 0.3
case "Other non-communicable diseases":
return 0.4
case "Musculoskeletal conditions":
return 0.5
case "Mental disorders":
return 0.6
case "Neurological disorders":
return 0.7
case "Chronic respiratory diseases":
return 0.8
case "Diabetes, chronic kidney diseases":
return 0.9
case "Substance use disorders":
return 1.0
default:
return 1.0
}
}
</script>
</body>
Raw
sankey.js
d3.sankey = function() {
var sankey = {},
nodeWidth = 24,
nodePadding = 8,
size = [1, 1],
nodes = [],
links = [];
sankey.nodeWidth = function(_) {
if (!arguments.length) return nodeWidth;
nodeWidth = +_;
return sankey;
};
sankey.nodePadding = function(_) {
if (!arguments.length) return nodePadding;
nodePadding = +_;
return sankey;
};
sankey.nodes = function(_) {
if (!arguments.length) return nodes;
nodes = _;
return sankey;
};
sankey.links = function(_) {
if (!arguments.length) return links;
links = _;
return sankey;
};
sankey.size = function(_) {
if (!arguments.length) return size;
size = _;
return sankey;
};
sankey.layout = function(iterations) {
computeNodeLinks();
computeNodeValues();
computeNodeBreadths();
computeNodeDepths(iterations);
computeLinkDepths();
return sankey;
};
sankey.relayout = function() {
computeLinkDepths();
return sankey;
};
sankey.link = function() {
var curvature = .5;
function link(d) {
var x0 = d.source.x + d.source.dx,
x1 = d.target.x,
xi = d3.interpolateNumber(x0, x1),
x2 = xi(curvature),
x3 = xi(1 - curvature),
y0 = d.source.y + d.sy + d.dy / 2,
y1 = d.target.y + d.ty + d.dy / 2;
return "M" + x0 + "," + y0
+ "C" + x2 + "," + y0
+ " " + x3 + "," + y1
+ " " + x1 + "," + y1;
}
link.curvature = function(_) {
if (!arguments.length) return curvature;
curvature = +_;
return link;
};
return link;
};
// Populate the sourceLinks and targetLinks for each node.
// Also, if the source and target are not objects, assume they are indices.
function computeNodeLinks() {
nodes.forEach(function(node) {
node.sourceLinks = [];
node.targetLinks = [];
});
links.forEach(function(link) {
var source = link.source,
target = link.target;
if (typeof source === "number") source = link.source = nodes[link.source];
if (typeof target === "number") target = link.target = nodes[link.target];
source.sourceLinks.push(link);
target.targetLinks.push(link);
});
}
// Compute the value (size) of each node by summing the associated links.
function computeNodeValues() {
nodes.forEach(function(node) {
node.value = Math.max(
d3.sum(node.sourceLinks, value),
d3.sum(node.targetLinks, value)
);
});
}
// Iteratively assign the breadth (x-position) for each node.
// Nodes are assigned the maximum breadth of incoming neighbors plus one;
// nodes with no incoming links are assigned breadth zero, while
// nodes with no outgoing links are assigned the maximum breadth.
function computeNodeBreadths() {
var remainingNodes = nodes,
nextNodes,
x = 0;
while (remainingNodes.length) {
nextNodes = [];
remainingNodes.forEach(function(node) {
node.x = x;
node.dx = nodeWidth;
node.sourceLinks.forEach(function(link) {
if (nextNodes.indexOf(link.target) < 0) {
nextNodes.push(link.target);
}
});
});
remainingNodes = nextNodes;
++x;
}
//
moveSinksRight(x);
scaleNodeBreadths((size[0] - nodeWidth) / (x - 1));
}
function moveSourcesRight() {
nodes.forEach(function(node) {
if (!node.targetLinks.length) {
node.x = d3.min(node.sourceLinks, function(d) { return d.target.x; }) - 1;
}
});
}
function moveSinksRight(x) {
nodes.forEach(function(node) {
if (!node.sourceLinks.length) {
node.x = x - 1;
}
});
}
function scaleNodeBreadths(kx) {
nodes.forEach(function(node) {
node.x *= kx;
});
}
function computeNodeDepths(iterations) {
var nodesByBreadth = d3.nest()
.key(function(d) { return d.x; })
.sortKeys(d3.ascending)
.entries(nodes)
.map(function(d) { return d.values; });
//
initializeNodeDepth();
resolveCollisions();
for (var alpha = 1; iterations > 0; --iterations) {
relaxRightToLeft(alpha *= .99);
resolveCollisions();
relaxLeftToRight(alpha);
resolveCollisions();
}
function initializeNodeDepth() {
var ky = d3.min(nodesByBreadth, function(nodes) {
return (size[1] - (nodes.length - 1) * nodePadding) / d3.sum(nodes, value);
});
nodesByBreadth.forEach(function(nodes) {
nodes.forEach(function(node, i) {
node.y = i;
node.dy = node.value * ky;
});
});
links.forEach(function(link) {
link.dy = link.value * ky;
});
}
function relaxLeftToRight(alpha) {
nodesByBreadth.forEach(function(nodes, breadth) {
nodes.forEach(function(node) {
if (node.targetLinks.length) {
var y = d3.sum(node.targetLinks, weightedSource) / d3.sum(node.targetLinks, value);
node.y += (y - center(node)) * alpha;
}
});
});
function weightedSource(link) {
return center(link.source) * link.value;
}
}
function relaxRightToLeft(alpha) {
nodesByBreadth.slice().reverse().forEach(function(nodes) {
nodes.forEach(function(node) {
if (node.sourceLinks.length) {
var y = d3.sum(node.sourceLinks, weightedTarget) / d3.sum(node.sourceLinks, value);
node.y += (y - center(node)) * alpha;
}
});
});
function weightedTarget(link) {
return center(link.target) * link.value;
}
}
function resolveCollisions() {
nodesByBreadth.forEach(function(nodes) {
var node,
dy,
y0 = 0,
n = nodes.length,
i;
// Push any overlapping nodes down.
nodes.sort(ascendingDepth);
for (i = 0; i < n; ++i) {
node = nodes[i];
dy = y0 - node.y;
if (dy > 0) node.y += dy;
y0 = node.y + node.dy + nodePadding;
}
// If the bottommost node goes outside the bounds, push it back up.
dy = y0 - nodePadding - size[1];
if (dy > 0) {
y0 = node.y -= dy;
// Push any overlapping nodes back up.
for (i = n - 2; i >= 0; --i) {
node = nodes[i];
dy = node.y + node.dy + nodePadding - y0;
if (dy > 0) node.y -= dy;
y0 = node.y;
}
}
});
}
function ascendingDepth(a, b) {
return a.y - b.y;
}
}
function computeLinkDepths() {
nodes.forEach(function(node) {
node.sourceLinks.sort(ascendingTargetDepth);
node.targetLinks.sort(ascendingSourceDepth);
});
nodes.forEach(function(node) {
var sy = 0, ty = 0;
node.sourceLinks.forEach(function(link) {
link.sy = sy;
sy += link.dy;
});
node.targetLinks.forEach(function(link) {
link.ty = ty;
ty += link.dy;
});
});
function ascendingSourceDepth(a, b) {
return a.source.y - b.source.y;
}
function ascendingTargetDepth(a, b) {
return a.target.y - b.target.y;
}
}
function center(node) {
return node.y + node.dy / 2;
}
function value(link) {
return link.value;
}
return sankey;
};
Raw
sankey.json
{
"links": [
{
"source": 0,
"target": 13,
"value": 0.82
},
{
"source": 13,
"target": 14,
"value": 0.174
},
{
"source": 0,
"target": 6,
"value": 0.14
},
{
"source": 6,
"target": 7,
"value": 0.14
},
{
"source": 13,
"target": 15,
"value": 0.139
},
{
"source": 13,
"target": 16,
"value": 0.125
},
{
"source": 13,
"target": 17,
"value": 0.116
},
{
"source": 14,
"target": 27,
"value": 0.092
},
{
"source": 16,
"target": 33,
"value": 0.091
},
{
"source": 13,
"target": 18,
"value": 0.085
},
{
"source": 17,
"target": 34,
"value": 0.079
},
{
"source": 13,
"target": 19,
"value": 0.071
},
{
"source": 15,
"target": 28,
"value": 0.07
},
{
"source": 13,
"target": 20,
"value": 0.052
},
{
"source": 7,
"target": 8,
"value": 0.046
},
{
"source": 0,
"target": 1,
"value": 0.04
},
{
"source": 1,
"target": 2,
"value": 0.04
},
{
"source": 13,
"target": 21,
"value": 0.038
},
{
"source": 15,
"target": 30,
"value": 0.037
},
{
"source": 20,
"target": 43,
"value": 0.035
},
{
"source": 18,
"target": 39,
"value": 0.034
},
{
"source": 15,
"target": 29,
"value": 0.032
},
{
"source": 14,
"target": 23,
"value": 0.031
},
{
"source": 7,
"target": 9,
"value": 0.028
},
{
"source": 18,
"target": 37,
"value": 0.028
},
{
"source": 19,
"target": 40,
"value": 0.028
},
{
"source": 7,
"target": 12,
"value": 0.027
},
{
"source": 19,
"target": 41,
"value": 0.027
},
{
"source": 21,
"target": 46,
"value": 0.026
},
{
"source": 14,
"target": 24,
"value": 0.024
},
{
"source": 17,
"target": 36,
"value": 0.023
},
{
"source": 18,
"target": 38,
"value": 0.023
},
{
"source": 2,
"target": 3,
"value": 0.022
},
{
"source": 7,
"target": 10,
"value": 0.022
},
{
"source": 13,
"target": 22,
"value": 0.02
},
{
"source": 16,
"target": 31,
"value": 0.02
},
{
"source": 7,
"target": 11,
"value": 0.017
},
{
"source": 14,
"target": 25,
"value": 0.017
},
{
"source": 19,
"target": 42,
"value": 0.016
},
{
"source": 16,
"target": 32,
"value": 0.014
},
{
"source": 17,
"target": 35,
"value": 0.014
},
{
"source": 21,
"target": 47,
"value": 0.013
},
{
"source": 20,
"target": 44,
"value": 0.012
},
{
"source": 2,
"target": 4,
"value": 0.011
},
{
"source": 22,
"target": 48,
"value": 0.011
},
{
"source": 14,
"target": 26,
"value": 0.01
},
{
"source": 22,
"target": 49,
"value": 0.009
},
{
"source": 2,
"target": 5,
"value": 0.007
},
{
"source": 20,
"target": 45,
"value": 0.005
}
],
"nodes": [
{
"name": "total"
},
{
"name": "_Communicable"
},
{
"name": "Communicable"
},
{
"name": "Neonatal"
},
{
"name": "Congenital birth defects"
},
{
"name": "Other communicable"
},
{
"name": "_Injuries"
},
{
"name": "Injuries"
},
{
"name": "Falls"
},
{
"name": "Road injuries"
},
{
"name": "Self-harm"
},
{
"name": "Mechanical forces"
},
{
"name": "Other injuries"
},
{
"name": "Non-communicable diseases"
},
{
"name": "Cancers"
},
{
"name": "Cardiovascular disease"
},
{
"name": "Other non-communicable diseases"
},
{
"name": "Musculoskeletal conditions"
},
{
"name": "Mental disorders"
},
{
"name": "Neurological disorders"
},
{
"name": "Chronic respiratory diseases"
},
{
"name": "Diabetes, chronic kidney diseases"
},
{
"name": "Substance use disorders"
},
{
"name": "Tracheal, bronchus, lung cancer"
},
{
"name": "Colon and rectum cancer"
},
{
"name": "Breast cancer"
},
{
"name": "Prostate cancer"
},
{
"name": "Other cancers"
},
{
"name": "Ischemic heart disease"
},
{
"name": "Stroke"
},
{
"name": "Other cardiovascular"
},
{
"name": "Age-related and other hearing loss"
},
{
"name": "Oral disorders"
},
{
"name": "Other other non-communicable"
},
{
"name": "Low back pain"
},
{
"name": "Neck pain"
},
{
"name": "Other musculoskeletal"
},
{
"name": "Anxiety disorders"
},
{
"name": "Depressive disorders"
},
{
"name": "Other mental"
},
{
"name": "Headache disorders"
},
{
"name": "Alzheimer's disease and other dementias"
},
{
"name": "Other neurological"
},
{
"name": "Chronic obstructive pulmonary disease"
},
{
"name": "Asthma"
},
{
"name": "Other respiratory"
},
{
"name": "Diabetes mellitus"
},
{
"name": "Chronic kidney disease"
},
{
"name": "Drug use disorders"
},
{
"name": "Alcohol use disorders"
}
]
}
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