j0hnsmith/README.md

## README.md

      
    Raw
  

              README.md
            
          
    Bubble charts encode data in the area of circles. Although less perceptually-accurate than bar charts, they can pack hundreds of values into a small space. Implementation based on work by Jeff Heer. Data shows the Flare class hierarchy, also courtesy Jeff Heer.

  
## flare.json
{
    "name": "flare",
    "children": [
        {"name": "AgglomerativeCluster", "size": 0},
        {"name": "AgglomerativeCluster1", "size": 0},
        {"name": "AgglomerativeCluster2", "size": 0},
        {"name": "AgglomerativeCluster3", "size": 0},
        {"name": "AgglomerativeCluster4", "size": 0},
        {"name": "AgglomerativeCluster5", "size": 0},
        {"name": "AgglomerativeCluster6", "size": 0},
        {"name": "AgglomerativeCluster7", "size": 0},
        {"name": "AgglomerativeCluster8", "size": 0},
        {"name": "AgglomerativeCluster9", "size": 0},
        {"name": "AgglomerativeCluster10", "size": 0},
        {"name": "AgglomerativeCluster11", "size": 0},
        {"name": "AgglomerativeCluster12", "size": 0},
        {"name": "AgglomerativeCluster13", "size": 0},
        {"name": "AgglomerativeCluster14", "size": 0},
        {"name": "AgglomerativeCluster15", "size": 0},
        {"name": "AgglomerativeCluster16", "size": 0},
        {"name": "MergeEdge", "size": 84780862.0},
        {"name": "CommunityStructure", "size": 29136745.0},
        {"name": "HierarchicalCluster", "size": 23169225.0},
        {"name": "BetweennessCentrality", "size": 32695061.0},
        {"name": "LinkDistance", "size": 26713571.0},
        {"name": "MaxFlowMinCut", "size": 5846479.0},
        {"name": "ShortestPaths", "size": 608888.0},
        {"name": "SpanningTree", "size": 5925210.0},
        {"name": "Easing", "size": 16834016.0},
        {"name": "FunctionSequence", "size": 2228888.0}
    ]
}

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>

text {
  font: 10px sans-serif;
}

</style>
<body>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>

var diameter = 606,
    format = d3.format(",d"),
    color = d3.scale.category20c();

var bubble = d3.layout.pack()
    .sort(null)
    .size([diameter, diameter])
    .padding(5);

var svg = d3.select("body").append("svg")
    .attr("width", diameter)
    .attr("height", diameter)
    .attr("class", "bubble");

d3.json("flare.json", function(error, root) {
  var node = svg.selectAll(".node")
      .data(bubble.nodes(classes(root))
      .filter(function(d) { return !d.children; }))
    .enter().append("g")
      .attr("class", "node")
      .attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });

  node.append("title")
      .text(function(d) { return d.className + ": " + format(d.value); });

  node.append("circle")
      .attr("r", function(d) { return d.r; })
      .style("fill", function(d) { return color(d.className); });

  node.append("text")
      .attr("dy", ".3em")
      .style("text-anchor", "middle")
      .text(function(d) { return d.className.substring(0, d.r / 3); });
});

// Returns a flattened hierarchy containing all leaf nodes under the root.
function classes(root) {
  var classes = [];

  function recurse(name, node) {
    if (node.children) node.children.forEach(function(child) { recurse(node.name, child); });
    else classes.push({packageName: name, className: node.name, value: node.size});
  }

  recurse(null, root);
  return {children: classes};
}

d3.select(self.frameElement).style("height", diameter + "px");

</script>

## thumbnail.png

      
    Raw
  

              thumbnail.png
	{
	"name": "flare",
	"children": [
	{"name": "AgglomerativeCluster", "size": 0},
	{"name": "AgglomerativeCluster1", "size": 0},
	{"name": "AgglomerativeCluster2", "size": 0},
	{"name": "AgglomerativeCluster3", "size": 0},
	{"name": "AgglomerativeCluster4", "size": 0},
	{"name": "AgglomerativeCluster5", "size": 0},
	{"name": "AgglomerativeCluster6", "size": 0},
	{"name": "AgglomerativeCluster7", "size": 0},
	{"name": "AgglomerativeCluster8", "size": 0},
	{"name": "AgglomerativeCluster9", "size": 0},
	{"name": "AgglomerativeCluster10", "size": 0},
	{"name": "AgglomerativeCluster11", "size": 0},
	{"name": "AgglomerativeCluster12", "size": 0},
	{"name": "AgglomerativeCluster13", "size": 0},
	{"name": "AgglomerativeCluster14", "size": 0},
	{"name": "AgglomerativeCluster15", "size": 0},
	{"name": "AgglomerativeCluster16", "size": 0},
	{"name": "MergeEdge", "size": 84780862.0},
	{"name": "CommunityStructure", "size": 29136745.0},
	{"name": "HierarchicalCluster", "size": 23169225.0},
	{"name": "BetweennessCentrality", "size": 32695061.0},
	{"name": "LinkDistance", "size": 26713571.0},
	{"name": "MaxFlowMinCut", "size": 5846479.0},
	{"name": "ShortestPaths", "size": 608888.0},
	{"name": "SpanningTree", "size": 5925210.0},
	{"name": "Easing", "size": 16834016.0},
	{"name": "FunctionSequence", "size": 2228888.0}
	]
	}
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	text {
	font: 10px sans-serif;
	}

	</style>
	<body>
	<script src="http://d3js.org/d3.v3.min.js"></script>
	<script>

	var diameter = 606,
	format = d3.format(",d"),
	color = d3.scale.category20c();

	var bubble = d3.layout.pack()
	.sort(null)
	.size([diameter, diameter])
	.padding(5);

	var svg = d3.select("body").append("svg")
	.attr("width", diameter)
	.attr("height", diameter)
	.attr("class", "bubble");

	d3.json("flare.json", function(error, root) {
	var node = svg.selectAll(".node")
	.data(bubble.nodes(classes(root))
	.filter(function(d) { return !d.children; }))
	.enter().append("g")
	.attr("class", "node")
	.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });

	node.append("title")
	.text(function(d) { return d.className + ": " + format(d.value); });

	node.append("circle")
	.attr("r", function(d) { return d.r; })
	.style("fill", function(d) { return color(d.className); });

	node.append("text")
	.attr("dy", ".3em")
	.style("text-anchor", "middle")
	.text(function(d) { return d.className.substring(0, d.r / 3); });
	});

	// Returns a flattened hierarchy containing all leaf nodes under the root.
	function classes(root) {
	var classes = [];

	function recurse(name, node) {
	if (node.children) node.children.forEach(function(child) { recurse(node.name, child); });
	else classes.push({packageName: name, className: node.name, value: node.size});
	}

	recurse(null, root);
	return {children: classes};
	}

	d3.select(self.frameElement).style("height", diameter + "px");

	</script>