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Some Madness in Sankey
Raw
readme.md
Raw
index.html
<!DOCTYPE html>
<html>
<head>
<title>vertical sankey visualization in D3</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="stylesheet" href="sankey.css" type="text/css"/>
<script src="//d3js.org/d3.v3.min.js"></script>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.2.1/jquery.min.js" charset="utf-8"></script>
<script src="sankey.js"></script>
</head>
<body>
<p id="chart">
<script>
$(function() {
var margin = {top: 5, right: 0, bottom: 50, left: 10},
width = 950 - margin.left - margin.right,
height = 480 - margin.top - margin.bottom;
var formatNumber = d3.format(",.0f"),
format = function (d) {
return formatNumber(d);
},
color = d3.scale.category20();
var svg = d3.select("#chart").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 + ")");
var sankey = d3.sankey()
.nodeWidth(25) // was 15 | 35
.nodePadding(0) // was 10 | 7
.size([width, height]);
var path = sankey.link();
var themes = ["employment", "health", "housing", "education", "safety", "income",
"energy", "technology", "transit", "waste", "recycle", "materials", "existing",
"water", "greenery", "ecology", "agriculture", "pollution"];
themes.reverse();
var categories = [1, 2, 3, 4, 5, 6, 7, 8, 9];
var colorCode = {"energy": "#f16021", "transit": "#f2b536", "waste": "#dcd589", "pollution":"#7c7b7b", "employment":"#b476b2",
"health": "#df9ab7", "housing": "#89236c", "education": "#a15785", "technology": "#f5851f", "water": "#7accc7", "greenery": "#94c83d",
"ecology": "#46b974", "agriculture": "#637fbf", "safety": "#c4b6d9", "recycle": "#dcc589", "materials": "#facbcb", "existing": "#a9813a",
"income": "#824c9e", 2: "#A6A6A5", 3: "#808181", 4: "#5A5A5A", 5: "#404040", 6: "#262626"};
var sumThemes = function(d) {
var result = 0;
for(var i=0; i<themes.length; i++)
if(d[themes[i]] == 1)
result = result + 1;
return result;
};
d3.json("sankey_crazy.json", function (data) {
data.forEach(function(d){
d.numTheme = sumThemes(d);
});
var filteredData = data.filter(function(d){
return (d.numTheme > 1);
});
filteredData.sort(function(a,b){
return a.numTheme - b.numTheme;
});
filteredData.reverse();
var sources = new Object(), targets = new Object(), energy = {"nodes": [], "links": []};
// Source are indicators
themes.forEach(function(d,i){
targets[d] = i + filteredData.length;
});
filteredData.forEach(function(d,i){
energy.nodes.push({"name": d.id.toString(), "numTheme": d.numTheme});
});
themes.forEach(function(d){
energy.nodes.push({"name": d, "numTheme": null});
});
filteredData.forEach(function(d,i){
themes.forEach(function(e){
if(d[e])
energy.links.push({"source": i, "target": targets[e], "value": 1});
});
});
sankey
.nodes(energy.nodes)
.links(energy.links)
.layout(32);
var link = svg.append("g").selectAll(".link")
.data(energy.links)
.enter().append("path")
.attr("class", "link")
.attr("d", path)
.style("stroke-width", function(d) { return Math.max(1, d.dy); })
.style("stroke", function(d) { return d.target.color = colorCode[d.target.name]; })
.sort(function(a, b) { return b.dy - a.dy; });
link.append("title")
.text(function(d) { return d.source.name + " → " + d.target.name; });
// title is an SVG standard way of providing tooltips, up to the browser how to render this, so changing the style is tricky
var node = svg.append("g").selectAll(".node")
.data(energy.nodes)
.enter().append("g")
.attr("class", "node")
.attr("transform", function(d) {
return "translate(" + d.x + "," + d.y + ")";
})
.sort(function(a, b) { return parseInt(a.name) - parseInt(b.name); })
.call(d3.behavior.drag()
.origin(function(d) { return d; })
.on("dragstart", function() { this.parentNode.appendChild(this); })
.on("drag", dragmove));
node.append("rect")
.attr("height", sankey.nodeWidth())
.attr("width", function(d) { return d.dy; })
.style("fill", function(d) {
if(d.numTheme)
return d.color = colorCode[d.numTheme];
else
return d.color = colorCode[d.name];
})
.style("stroke", function(d) { return d3.rgb(d.color).darker(1); })
.append("title")
.text(function(d) { return d.name + "\n" + format(d.value); });
node.append("text")
.attr("text-anchor", "middle")
.attr("x", function (d) { return d.dy / 2 })
.attr("y", function(d){
if(d.numTheme)
return -sankey.nodeWidth()/2;
else {
if(d.dy > 38)
return sankey.nodeWidth() + 15;
else
return sankey.nodeWidth() + 35;
}
})
.attr("dy", ".35em")
.text(function(d) {
if(!d.dy > 0) return "";
if(!d.numTheme)
return d.name})
.filter(function(d) { return d.x < width / 2; });
function dragmove(d) {
if(d.numTheme)
// first line only allows y direction move, second x
//d3.select(this).attr("transform", "translate(" + d.x + "," + (d.y = Math.max(0, d3.event.y)) + ")");
d3.select(this).attr("transform", "translate(" + (d.x = Math.max(0, Math.min(width - d.dy, d3.event.x))) + "," + d.y + ")");
if(!d.numTheme)
d3.select(this).attr("transform", "translate(" + (d.x = Math.max(0, Math.min(width - d.dy, d3.event.x))) + "," + d.y + ")");
sankey.relayout();
link.attr("d", path);
}
});
});
</script>
</div>
</body>
</html>
Raw
sankey.css
body {
background-color: white;
}
.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;*/
stroke-opacity: .5;
}
.link:hover {
stroke-opacity: .8;
}
#chart {
background-color: rgb(255, 255, 255);
}
Raw
sankey.js
d3.sankey = function() {
var sankey = {},
nodeWidth = 24,
nodePadding = 8, // was 8, needs to be much bigger. these numbers are actually overwritten in the html when we instantiate the viz!
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();
// big changes here
// change the order and depths (y pos) won't need iterations
computeNodeDepths();
computeNodeBreadths(iterations);
computeLinkDepths();
return sankey;
};
sankey.relayout = function() {
computeLinkDepths();
return sankey;
};
sankey.link = function() {
var curvature = .5;
// x0 = line start X
// y0 = line start Y
// x1 = line end X
// y1 = line end Y
// y2 = control point 1 (Y pos)
// y3 = control point 2 (Y pos)
function link(d) {
// big changes here obviously, more comments to follow
var x0 = d.source.x + d.sy + d.dy / 2,
x1 = d.target.x + d.ty + d.dy / 2,
y0 = d.source.y + nodeWidth,
y1 = d.target.y,
yi = d3.interpolateNumber(y0, y1),
y2 = yi(curvature),
y3 = yi(1 - curvature);
// ToDo - nice to have - allow flow up or down! Plenty of use cases for starting at the bottom,
// but main one is trickle down (economics, budgets etc), not up
return "M" + x0 + "," + y0 // start (of SVG path)
+ "C" + x0 + "," + y2 // CP1 (curve control point)
+ " " + x1 + "," + y3 // CP2
+ " " + x1 + "," + y1; // end
}
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)
);
});
}
// take a grouping of the nodes - the vertical columns
// there shouldnt be 8 - there will be more, the total number of 1st level sources
// then iterate over them and give them an incrementing x
// because the data structure is ALL nodes, just flattened, don't just apply at the top level
// then everything should have an X
// THEN, for the Y
// do the same thing, this time on the grouping of 8! i.e. 8 different Y values, not loads of different ones!
function computeNodeBreadths(iterations) {
var nodesByBreadth = d3.nest()
.key(function(d) { return d.y; })
.sortKeys(d3.ascending)
.entries(nodes)
.map(function(d) { return d.values; }); // values! we are using the values also as a way to seperate nodes (not just stroke width)?
// this bit is actually the node sizes (widths)
//var ky = (size[1] - (nodes.length - 1) * nodePadding) / d3.sum(nodes, value)
// this should be only source nodes surely (level 1)
var ky = (size[0] - (nodesByBreadth[0].length - 1) * nodePadding) / d3.sum(nodesByBreadth[0], value);
// I'd like them to be much bigger, this calc doesn't seem to fill the space!?
nodesByBreadth.forEach(function(nodes) {
nodes.forEach(function(node, i) {
node.x = i;
node.dy = node.value * ky;
});
});
links.forEach(function(link) {
link.dy = link.value * ky;
});
resolveCollisions();
// Bin changed:
/*
for (var alpha = 1; iterations > 0; --iterations) {
relaxLeftToRight(alpha);
resolveCollisions();
relaxRightToLeft(alpha *= .99);
resolveCollisions();
}
*/
// these relax methods should probably be operating on one level of the nodes, not all!?
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.x += (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.x += (y - center(node)) * alpha;
}
});
});
function weightedTarget(link) {
return center(link.target) * link.value;
}
}
function resolveCollisions() {
nodesByBreadth.forEach(function(nodes) {
var node,
dy,
x0 = 0,
n = nodes.length,
i;
// Push any overlapping nodes right.
nodes.sort(ascendingDepth);
for (i = 0; i < n; ++i) {
node = nodes[i];
dy = x0 - node.x;
if (dy > 0) node.x += dy;
x0 = node.x + node.dy + nodePadding;
}
// If the rightmost node goes outside the bounds, push it left.
dy = x0 - nodePadding - size[0]; // was size[1]
if (dy > 0) {
x0 = node.x -= dy;
// Push any overlapping nodes left.
for (i = n - 2; i >= 0; --i) {
node = nodes[i];
dy = node.x + node.dy + nodePadding - x0; // was y0
if (dy > 0) node.x -= dy;
x0 = node.x;
}
}
});
}
function ascendingDepth(a, b) {
//return a.y - b.y; // flows go up
return b.x - a.x; // flows go down
//return a.x - b.x;
}
}
// this moves all end points (sinks!) to the most extreme bottom
function moveSinksDown(y) {
nodes.forEach(function(node) {
if (!node.sourceLinks.length) {
node.y = y - 1;
}
});
}
// shift their locations out to occupy the screen
function scaleNodeBreadths(kx) {
nodes.forEach(function(node) {
node.y *= kx;
});
}
function computeNodeDepths() {
var remainingNodes = nodes,
nextNodes,
y = 0;
while (remainingNodes.length) {
nextNodes = [];
remainingNodes.forEach(function(node) {
node.y = y;
//node.dx = nodeWidth;
node.sourceLinks.forEach(function(link) {
if (nextNodes.indexOf(link.target) < 0) {
nextNodes.push(link.target);
}
});
});
remainingNodes = nextNodes;
++y;
}
// move end points to the very bottom
moveSinksDown(y);
scaleNodeBreadths((size[1] - nodeWidth) / (y - 1));
}
// .ty is the offset in terms of node position of the link (target)
function computeLinkDepths() {
nodes.forEach(function(node) {
node.sourceLinks.sort(ascendingTargetDepth);
node.targetLinks.sort(ascendingSourceDepth);
});
nodes.forEach(function(node) {
var sy = 0, ty = 0;
//ty = node.dy;
node.sourceLinks.forEach(function(link) {
link.sy = sy;
sy += link.dy;
});
node.targetLinks.forEach(function(link) {
// this is simply saying, for each target, keep adding the width of the link
// so what if it was the other way round. start with full width then subtract?
link.ty = ty;
ty += link.dy;
//ty -= link.dy;
});
});
function ascendingSourceDepth(a, b) {
//return a.source.y - b.source.y;
return a.source.x - b.source.x;
}
function ascendingTargetDepth(a, b) {
//return a.target.y - b.target.y;
return a.target.x - b.target.x;
}
}
function center(node) {
return node.y + node.dy / 2;
}
function value(link) {
return link.value;
}
return sankey;
};
Raw
sankey_crazy.json
[
{
"id":1,
"cid":1,
"category":1,
"name":"LEED_smart location and linkage_location_01_infill_well-connected to adjacent development street network_well-served by transit neighborhood amenities",
"energy":null,
"transit":1,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":null,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":2,
"cid":2,
"category":1,
"name":"LEED_smart location and linkage_location_02_infill developed site_infill not developed site_adjacent to existing developed site_not adjacent or infill developed site_QT",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":null,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":1,
"income":null
},
{
"id":3,
"cid":3,
"category":1,
"name":"LEED_smart location and linkage_location_03_well connected street network_intersection_200 to 250 per square mile_250 to 300 per square mile_300 to 350 per square mile_350 to 400 per square mile_More than 400 per sq mile_QT",
"energy":null,
"transit":1,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":null,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":4,
"cid":4,
"category":1,
"name":"LEED_smart location and linkage_location_04_economic distressed area_ affordable housing_QT",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":1,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":null,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":5,
"cid":5,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_01_build on habitat species endangered_threatened_conservation_QL",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":1,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":1,
"income":null
},
{
"id":6,
"cid":6,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_02_build on wetland water bodies_leave buffer 50 to 100 ft_undevelopement_QT",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":1,
"greenery":null,
"ecology":1,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":7,
"cid":7,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_03_build on prime agricultural land_unless is infill_transit served_ soil loss",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":null,
"agriculture":1,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":8,
"cid":8,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_04_no build on floodplains_QT",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":1,
"greenery":null,
"ecology":1,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":9,
"cid":9,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_05_conserve existing habitat_native plants_wetlands_ water bodies_QL",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":1,
"greenery":1,
"ecology":1,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":1,
"income":null
},
{
"id":10,
"cid":10,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_06_restores degraded habitat_plants_wetlands_ water bodies and conserves_QL",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":1,
"greenery":1,
"ecology":1,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":11,
"cid":11,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_07_long term_10 years_plan for wetlands_water bodies_habitat_QL",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":1,
"greenery":null,
"ecology":1,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":12,
"cid":12,
"category":1,
"name":"LEED_smart location and linkage_ecosystem and open spaces_08_limits development on steep slopes_15%_restore previous slopes_QT",
"energy":null,
"transit":null,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":1,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":13,
"cid":13,
"category":1,
"name":"LEED_smart location and linkage_contaminated sites_remediates a contaminated site_economic distressed area_QL",
"energy":null,
"transit":null,
"waste":null,
"pollution":1,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":null,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":1,
"income":null
},
{
"id":14,
"cid":14,
"category":1,
"name":"LEED_smart location and linkage_transit oriented locations_walking distance__mile_rapid transit_rail_ferry_bus_QT",
"energy":null,
"transit":1,
"waste":null,
"pollution":null,
"employment":null,
"health":null,
"housing":null,
"education":null,
"technology":null,
"water":null,
"greenery":null,
"ecology":null,
"agriculture":null,
"safety":null,
"recycle":null,
"materials":null,
"existing":null,
"income":null
},
{
"id":15,
"cid":15,
"category":1,
"name":"LEED_smart location and linkage_cycling facilities_ bicycle network_mile_bicycle storage_parking_connects 10 diverse land use_residential building_occupants_visitors_QT",
"energy":null,
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