what we can see with this chart is the different groups that are created by the matrix of different states. Compared to the node link diagram chart, this one shows a more granular grouping, and is much easier to follow. What is also interesting about this visualization, is that based on a particular order of our elements,w e are able to see trends much easier, especially when they re-arrange into their correct positions.
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<head>
<meta charset="utf-8">
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<style>
.background {
fill: #eee;
}
line {
stroke: #fff;
}
text.active {
fill: red;
}
body { margin:0;position:fixed;top:0;right:0;bottom:0;left:0; }
svg { width:100%; height: 100% }
</style>
</head>
<body>
<script>
var margin = {top: 80, right: 0, bottom: 10, left: 80},
width = 720,
height = 720;
var x = d3.scale.ordinal().rangeBands([0, width]),
z = d3.scale.linear().domain([0, 4]).clamp(true),
c = d3.scale.category10().domain(d3.range(10));
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.style("margin-left", -margin.left + "px")
.append("g")
.attr("transform", "translate(" + 200 + "," + margin.top + ")");
d3.json("dataset.json", function(miserables) {
var matrix = [],
nodes = miserables.nodes,
n = nodes.length;
// Compute index per node.
nodes.forEach(function(node, i) {
node.index = i;
node.count = 0;
matrix[i] = d3.range(n).map(function(j) { return {x: j, y: i, z: 0}; });
});
// Convert links to matrix; count character occurrences.
miserables.links.forEach(function(link) {
matrix[link.source][link.target].z += link.value;
matrix[link.target][link.source].z += link.value;
matrix[link.source][link.source].z += link.value;
matrix[link.target][link.target].z += link.value;
nodes[link.source].count += link.value;
nodes[link.target].count += link.value;
});
// Precompute the orders.
var orders = {
name: d3.range(n).sort(function(a, b) { return d3.ascending(nodes[a].name, nodes[b].name); }),
count: d3.range(n).sort(function(a, b) { return nodes[b].count - nodes[a].count; }),
group: d3.range(n).sort(function(a, b) { return nodes[b].group - nodes[a].group; })
};
// The default sort order.
x.domain(orders.name);
svg.append("rect")
.attr("class", "background")
.attr("width", width)
.attr("height", height);
var row = svg.selectAll(".row")
.data(matrix)
.enter().append("g")
.attr("class", "row")
.attr("transform", function(d, i) { return "translate(0," + x(i) + ")"; })
.each(row);
row.append("line")
.attr("x2", width);
row.append("text")
.attr("x", -6)
.attr("y", x.rangeBand() / 2)
.attr("dy", ".32em")
.attr("text-anchor", "end")
.text(function(d, i) { return nodes[i].name; });
var column = svg.selectAll(".column")
.data(matrix)
.enter().append("g")
.attr("class", "column")
.attr("transform", function(d, i) { return "translate(" + x(i) + ")rotate(-90)"; });
column.append("line")
.attr("x1", -width);
column.append("text")
.attr("x", 6)
.attr("y", x.rangeBand() / 2)
.attr("dy", ".32em")
.attr("text-anchor", "start")
.text(function(d, i) { return nodes[i].name; });
function row(row) {
var cell = d3.select(this).selectAll(".cell")
.data(row.filter(function(d) { return d.z; }))
.enter().append("rect")
.attr("class", "cell")
.attr("x", function(d) { return x(d.x); })
.attr("width", x.rangeBand())
.attr("height", x.rangeBand())
.style("fill-opacity", function(d) { return z(d.z); })
.style("fill", function(d) { return nodes[d.x].group == nodes[d.y].group ? c(nodes[d.x].group) : null; })
.on("mouseover", mouseover)
.on("mouseout", mouseout);
}
function mouseover(p) {
d3.selectAll(".row text").classed("active", function(d, i) { return i == p.y; });
d3.selectAll(".column text").classed("active", function(d, i) { return i == p.x; });
}
function mouseout() {
d3.selectAll("text").classed("active", false);
}
d3.select("#order").on("change", function() {
clearTimeout(timeout);
order(this.value);
});
function order(value) {
x.domain(orders[value]);
var t = svg.transition().duration(2500);
t.selectAll(".row")
.delay(function(d, i) { return x(i) * 4; })
.attr("transform", function(d, i) { return "translate(0," + x(i) + ")"; })
.selectAll(".cell")
.delay(function(d) { return x(d.x) * 4; })
.attr("x", function(d) { return x(d.x); });
t.selectAll(".column")
.delay(function(d, i) { return x(i) * 4; })
.attr("transform", function(d, i) { return "translate(" + x(i) + ")rotate(-90)"; });
}
var timeout = setTimeout(function() {
order("group");
d3.select("#order").property("selectedIndex", 2).node().focus();
}, 5000);
});
</script>
</body>
https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js