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Last active June 21, 2023 21:26
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Clustered Force Layout Bubble Chart
license: gpl-3.0
height: 500
border: yes

The clustered force bubble chart is a combination of Mike Bostock's Clustered Force Layout III and Bubble Chart blocks. The words are clustered and colored by their group ID. This may not be the best way to display topic information, but it's one alternative to a word cloud.

<!DOCTYPE html>
<meta charset="utf-8">
<style type="text/css">
text {
font: 10px sans-serif;
}
circle {
stroke: #565352;
stroke-width: 1;
}
</style>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>
var width = 960,
height = 500,
padding = 1.5, // separation between same-color nodes
clusterPadding = 6, // separation between different-color nodes
maxRadius = 12;
var color = d3.scale.ordinal()
.range(["#7A99AC", "#E4002B"]);
d3.text("word_groups.csv", function(error, text) {
if (error) throw error;
var colNames = "text,size,group\n" + text;
var data = d3.csv.parse(colNames);
data.forEach(function(d) {
d.size = +d.size;
});
//unique cluster/group id's
var cs = [];
data.forEach(function(d){
if(!cs.contains(d.group)) {
cs.push(d.group);
}
});
var n = data.length, // total number of nodes
m = cs.length; // number of distinct clusters
//create clusters and nodes
var clusters = new Array(m);
var nodes = [];
for (var i = 0; i<n; i++){
nodes.push(create_nodes(data,i));
}
var force = d3.layout.force()
.nodes(nodes)
.size([width, height])
.gravity(.02)
.charge(0)
.on("tick", tick)
.start();
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var node = svg.selectAll("circle")
.data(nodes)
.enter().append("g").call(force.drag);
node.append("circle")
.style("fill", function (d) {
return color(d.cluster);
})
.attr("r", function(d){return d.radius})
node.append("text")
.attr("dy", ".3em")
.style("text-anchor", "middle")
.text(function(d) { return d.text.substring(0, d.radius / 3); });
function create_nodes(data,node_counter) {
var i = cs.indexOf(data[node_counter].group),
r = Math.sqrt((i + 1) / m * -Math.log(Math.random())) * maxRadius,
d = {
cluster: i,
radius: data[node_counter].size*1.5,
text: data[node_counter].text,
x: Math.cos(i / m * 2 * Math.PI) * 200 + width / 2 + Math.random(),
y: Math.sin(i / m * 2 * Math.PI) * 200 + height / 2 + Math.random()
};
if (!clusters[i] || (r > clusters[i].radius)) clusters[i] = d;
return d;
};
function tick(e) {
node.each(cluster(10 * e.alpha * e.alpha))
.each(collide(.5))
.attr("transform", function (d) {
var k = "translate(" + d.x + "," + d.y + ")";
return k;
})
}
// Move d to be adjacent to the cluster node.
function cluster(alpha) {
return function (d) {
var cluster = clusters[d.cluster];
if (cluster === d) return;
var x = d.x - cluster.x,
y = d.y - cluster.y,
l = Math.sqrt(x * x + y * y),
r = d.radius + cluster.radius;
if (l != r) {
l = (l - r) / l * alpha;
d.x -= x *= l;
d.y -= y *= l;
cluster.x += x;
cluster.y += y;
}
};
}
// Resolves collisions between d and all other circles.
function collide(alpha) {
var quadtree = d3.geom.quadtree(nodes);
return function (d) {
var r = d.radius + maxRadius + Math.max(padding, clusterPadding),
nx1 = d.x - r,
nx2 = d.x + r,
ny1 = d.y - r,
ny2 = d.y + r;
quadtree.visit(function (quad, x1, y1, x2, y2) {
if (quad.point && (quad.point !== d)) {
var x = d.x - quad.point.x,
y = d.y - quad.point.y,
l = Math.sqrt(x * x + y * y),
r = d.radius + quad.point.radius + (d.cluster === quad.point.cluster ? padding : clusterPadding);
if (l < r) {
l = (l - r) / l * alpha;
d.x -= x *= l;
d.y -= y *= l;
quad.point.x += x;
quad.point.y += y;
}
}
return x1 > nx2 || x2 < nx1 || y1 > ny2 || y2 < ny1;
});
};
}
});
Array.prototype.contains = function(v) {
for(var i = 0; i < this.length; i++) {
if(this[i] === v) return true;
}
return false;
};
</script>
Allagash 25 1
Dogfish 23 1
Flying Dog 22 1
Founders 21 1
Stone 20 1
Bells 19 1
Victory 18 1
21st Amendment 17 1
Yards 16 1
Lagunitas 15 1
Brooklyn 14 1
Duvel 13 1
Rogue 12 1
Full Sail 11 1
Left Hand 10 1
Chevy 25 2
Ford 23 2
Dodge 22 2
BMW 21 2
Mercedes 20 2
VW 19 2
Porsche 18 2
Audi 17 2
Jeep 16 2
Acura 15 2
Honda 14 2
Toyota 13 2
Bugatti 12 2
Ferrari 11 2
Jaguar 10 2
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