Using matrix view we can find out the states which are adjacent to each other when we select ordering by name. When ordering by frequency is choosen the state which has maximum number of connections is displayed first ie. tennessee has more number of adjacent states whereas Maine has only one adjacent state(New Hampshire).
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<html class="ocks-org do-not-copy">
<meta charset="utf-8">
<style>
@import url(../style.css?aea6f0a);
.background {
fill: #eee;
}
line {
stroke: #fff;
}
text.active {
fill: red;
}
</style>
<script src="//d3js.org/d3.v2.min.js" charset="utf-8"></script>
<aside style="margin-top:80px;">
<p>Order: <select id="order">
<option value="name">by Name</option>
<option value="count">by Frequency</option>
<option value="group">by Cluster</option>
</select>
</aside>
<script>
var margin = {top: 80, right: 150, 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")
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.attr("height", height + margin.top + margin.bottom)
.style("margin-right", -margin.right + "px")
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d3.json("data.json", function(miserables) {
var matrix = [],
nodes = miserables.nodes,
n = nodes.length;
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}; });
});
miserables.links.forEach(function(link) {
matrix[link.source][link.target].z += link.value;
matrix[link.target][link.source].z += link.value;
nodes[link.source].count += link.value;
nodes[link.target].count += link.value;
});
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; })
};
x.domain(orders.name);
svg.append("rect")
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.attr("width", width)
.attr("height", height);
var row = svg.selectAll(".row")
.data(matrix)
.enter().append("g")
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row.append("line")
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row.append("text")
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.attr("y", x.rangeBand() / 2)
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column.append("line")
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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; }))
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.attr("class", "cell")
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.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")
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.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>
https://d3js.org/d3.v2.min.js