{"url":"https://api.github.com/gists/4063582","forks_url":"https://api.github.com/gists/4063582/forks","commits_url":"https://api.github.com/gists/4063582/commits","id":"4063582","node_id":"MDQ6R2lzdDQwNjM1ODI=","git_pull_url":"https://gist.github.com/4063582.git","git_push_url":"https://gist.github.com/4063582.git","html_url":"https://gist.github.com/mbostock/4063582","files":{".block":{"filename":".block","type":"text/plain","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/4063582/raw/ee9db7c03c814d0720d54317936dd6867f05e817/.block","size":101,"truncated":false,"content":"border: no\nheight: 600\nlicense: gpl-3.0\nredirect: https://beta.observablehq.com/@mbostock/d3-treemap\n","encoding":"utf-8"},"README.md":{"filename":"README.md","type":"text/markdown","language":"Markdown","raw_url":"https://gist.githubusercontent.com/mbostock/4063582/raw/619550ad5f0794d18c477e300b22c9fdd1841adb/README.md","size":452,"truncated":false,"content":"A treemap recursively subdivides area into rectangles; the area of any node in the tree corresponds to its value. This example uses color to encode different packages of the Flare visualization toolkit. Treemap design invented by [Ben Shneiderman](http://www.cs.umd.edu/~ben/). Squarified algorithm by [Bruls, Huizing and van Wijk](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.6685). Data courtesy [Jeff Heer](http://flare.prefuse.org/).\n","encoding":"utf-8"},"flare.json":{"filename":"flare.json","type":"application/json","language":"JSON","raw_url":"https://gist.githubusercontent.com/mbostock/4063582/raw/a05a94858375bd0ae023f6950a2b13fac5127637/flare.json","size":11413,"truncated":false,"content":"{\n \"name\": \"flare\",\n \"children\": [\n  {\n   \"name\": \"analytics\",\n   \"children\": [\n    {\n     \"name\": \"cluster\",\n     \"children\": [\n      {\"name\": \"AgglomerativeCluster\", \"size\": 3938},\n      {\"name\": \"CommunityStructure\", \"size\": 3812},\n      {\"name\": \"HierarchicalCluster\", \"size\": 6714},\n      {\"name\": \"MergeEdge\", \"size\": 743}\n     ]\n    },\n    {\n     \"name\": \"graph\",\n     \"children\": [\n      {\"name\": \"BetweennessCentrality\", \"size\": 3534},\n      {\"name\": \"LinkDistance\", \"size\": 5731},\n      {\"name\": \"MaxFlowMinCut\", \"size\": 7840},\n      {\"name\": \"ShortestPaths\", \"size\": 5914},\n      {\"name\": \"SpanningTree\", \"size\": 3416}\n     ]\n    },\n    {\n     \"name\": \"optimization\",\n     \"children\": [\n      {\"name\": \"AspectRatioBanker\", \"size\": 7074}\n     ]\n    }\n   ]\n  },\n  {\n   \"name\": \"animate\",\n   \"children\": [\n    {\"name\": \"Easing\", \"size\": 17010},\n    {\"name\": \"FunctionSequence\", \"size\": 5842},\n    {\n     \"name\": \"interpolate\",\n     \"children\": [\n      {\"name\": \"ArrayInterpolator\", \"size\": 1983},\n      {\"name\": \"ColorInterpolator\", \"size\": 2047},\n      {\"name\": \"DateInterpolator\", \"size\": 1375},\n      {\"name\": \"Interpolator\", \"size\": 8746},\n      {\"name\": \"MatrixInterpolator\", \"size\": 2202},\n      {\"name\": \"NumberInterpolator\", \"size\": 1382},\n      {\"name\": \"ObjectInterpolator\", \"size\": 1629},\n      {\"name\": \"PointInterpolator\", \"size\": 1675},\n      {\"name\": \"RectangleInterpolator\", \"size\": 2042}\n     ]\n    },\n    {\"name\": \"ISchedulable\", \"size\": 1041},\n    {\"name\": \"Parallel\", \"size\": 5176},\n    {\"name\": \"Pause\", \"size\": 449},\n    {\"name\": \"Scheduler\", \"size\": 5593},\n    {\"name\": \"Sequence\", \"size\": 5534},\n    {\"name\": \"Transition\", \"size\": 9201},\n    {\"name\": \"Transitioner\", \"size\": 19975},\n    {\"name\": \"TransitionEvent\", \"size\": 1116},\n    {\"name\": \"Tween\", \"size\": 6006}\n   ]\n  },\n  {\n   \"name\": \"data\",\n   \"children\": [\n    {\n     \"name\": \"converters\",\n     \"children\": [\n      {\"name\": \"Converters\", \"size\": 721},\n      {\"name\": \"DelimitedTextConverter\", \"size\": 4294},\n      {\"name\": \"GraphMLConverter\", \"size\": 9800},\n      {\"name\": \"IDataConverter\", \"size\": 1314},\n      {\"name\": \"JSONConverter\", \"size\": 2220}\n     ]\n    },\n    {\"name\": \"DataField\", \"size\": 1759},\n    {\"name\": \"DataSchema\", \"size\": 2165},\n    {\"name\": \"DataSet\", \"size\": 586},\n    {\"name\": \"DataSource\", \"size\": 3331},\n    {\"name\": \"DataTable\", \"size\": 772},\n    {\"name\": \"DataUtil\", \"size\": 3322}\n   ]\n  },\n  {\n   \"name\": \"display\",\n   \"children\": [\n    {\"name\": \"DirtySprite\", \"size\": 8833},\n    {\"name\": \"LineSprite\", \"size\": 1732},\n    {\"name\": \"RectSprite\", \"size\": 3623},\n    {\"name\": \"TextSprite\", \"size\": 10066}\n   ]\n  },\n  {\n   \"name\": \"flex\",\n   \"children\": [\n    {\"name\": \"FlareVis\", \"size\": 4116}\n   ]\n  },\n  {\n   \"name\": \"physics\",\n   \"children\": [\n    {\"name\": \"DragForce\", \"size\": 1082},\n    {\"name\": \"GravityForce\", \"size\": 1336},\n    {\"name\": \"IForce\", \"size\": 319},\n    {\"name\": \"NBodyForce\", \"size\": 10498},\n    {\"name\": \"Particle\", \"size\": 2822},\n    {\"name\": \"Simulation\", \"size\": 9983},\n    {\"name\": \"Spring\", \"size\": 2213},\n    {\"name\": \"SpringForce\", \"size\": 1681}\n   ]\n  },\n  {\n   \"name\": \"query\",\n   \"children\": [\n    {\"name\": \"AggregateExpression\", \"size\": 1616},\n    {\"name\": \"And\", \"size\": 1027},\n    {\"name\": \"Arithmetic\", \"size\": 3891},\n    {\"name\": \"Average\", \"size\": 891},\n    {\"name\": \"BinaryExpression\", \"size\": 2893},\n    {\"name\": \"Comparison\", \"size\": 5103},\n    {\"name\": \"CompositeExpression\", \"size\": 3677},\n    {\"name\": \"Count\", \"size\": 781},\n    {\"name\": \"DateUtil\", \"size\": 4141},\n    {\"name\": \"Distinct\", \"size\": 933},\n    {\"name\": \"Expression\", \"size\": 5130},\n    {\"name\": \"ExpressionIterator\", \"size\": 3617},\n    {\"name\": \"Fn\", \"size\": 3240},\n    {\"name\": \"If\", \"size\": 2732},\n    {\"name\": \"IsA\", \"size\": 2039},\n    {\"name\": \"Literal\", \"size\": 1214},\n    {\"name\": \"Match\", \"size\": 3748},\n    {\"name\": \"Maximum\", \"size\": 843},\n    {\n     \"name\": \"methods\",\n     \"children\": [\n      {\"name\": \"add\", \"size\": 593},\n      {\"name\": \"and\", \"size\": 330},\n      {\"name\": \"average\", \"size\": 287},\n      {\"name\": \"count\", \"size\": 277},\n      {\"name\": \"distinct\", \"size\": 292},\n      {\"name\": \"div\", \"size\": 595},\n      {\"name\": \"eq\", \"size\": 594},\n      {\"name\": \"fn\", \"size\": 460},\n      {\"name\": \"gt\", \"size\": 603},\n      {\"name\": \"gte\", \"size\": 625},\n      {\"name\": \"iff\", \"size\": 748},\n      {\"name\": \"isa\", \"size\": 461},\n      {\"name\": \"lt\", \"size\": 597},\n      {\"name\": \"lte\", \"size\": 619},\n      {\"name\": \"max\", \"size\": 283},\n      {\"name\": \"min\", \"size\": 283},\n      {\"name\": \"mod\", \"size\": 591},\n      {\"name\": \"mul\", \"size\": 603},\n      {\"name\": \"neq\", \"size\": 599},\n      {\"name\": \"not\", \"size\": 386},\n      {\"name\": \"or\", \"size\": 323},\n      {\"name\": \"orderby\", \"size\": 307},\n      {\"name\": \"range\", \"size\": 772},\n      {\"name\": \"select\", \"size\": 296},\n      {\"name\": \"stddev\", \"size\": 363},\n      {\"name\": \"sub\", \"size\": 600},\n      {\"name\": \"sum\", \"size\": 280},\n      {\"name\": \"update\", \"size\": 307},\n      {\"name\": \"variance\", \"size\": 335},\n      {\"name\": \"where\", \"size\": 299},\n      {\"name\": \"xor\", \"size\": 354},\n      {\"name\": \"_\", \"size\": 264}\n     ]\n    },\n    {\"name\": \"Minimum\", \"size\": 843},\n    {\"name\": \"Not\", \"size\": 1554},\n    {\"name\": \"Or\", \"size\": 970},\n    {\"name\": \"Query\", \"size\": 13896},\n    {\"name\": \"Range\", \"size\": 1594},\n    {\"name\": \"StringUtil\", \"size\": 4130},\n    {\"name\": \"Sum\", \"size\": 791},\n    {\"name\": \"Variable\", \"size\": 1124},\n    {\"name\": \"Variance\", \"size\": 1876},\n    {\"name\": \"Xor\", \"size\": 1101}\n   ]\n  },\n  {\n   \"name\": \"scale\",\n   \"children\": [\n    {\"name\": \"IScaleMap\", \"size\": 2105},\n    {\"name\": \"LinearScale\", \"size\": 1316},\n    {\"name\": \"LogScale\", \"size\": 3151},\n    {\"name\": \"OrdinalScale\", \"size\": 3770},\n    {\"name\": \"QuantileScale\", \"size\": 2435},\n    {\"name\": \"QuantitativeScale\", \"size\": 4839},\n    {\"name\": \"RootScale\", \"size\": 1756},\n    {\"name\": \"Scale\", \"size\": 4268},\n    {\"name\": \"ScaleType\", \"size\": 1821},\n    {\"name\": \"TimeScale\", \"size\": 5833}\n   ]\n  },\n  {\n   \"name\": \"util\",\n   \"children\": [\n    {\"name\": \"Arrays\", \"size\": 8258},\n    {\"name\": \"Colors\", \"size\": 10001},\n    {\"name\": \"Dates\", \"size\": 8217},\n    {\"name\": \"Displays\", \"size\": 12555},\n    {\"name\": \"Filter\", \"size\": 2324},\n    {\"name\": \"Geometry\", \"size\": 10993},\n    {\n     \"name\": \"heap\",\n     \"children\": [\n      {\"name\": \"FibonacciHeap\", \"size\": 9354},\n      {\"name\": \"HeapNode\", \"size\": 1233}\n     ]\n    },\n    {\"name\": \"IEvaluable\", \"size\": 335},\n    {\"name\": \"IPredicate\", \"size\": 383},\n    {\"name\": \"IValueProxy\", \"size\": 874},\n    {\n     \"name\": \"math\",\n     \"children\": [\n      {\"name\": \"DenseMatrix\", \"size\": 3165},\n      {\"name\": \"IMatrix\", \"size\": 2815},\n      {\"name\": \"SparseMatrix\", \"size\": 3366}\n     ]\n    },\n    {\"name\": \"Maths\", \"size\": 17705},\n    {\"name\": \"Orientation\", \"size\": 1486},\n    {\n     \"name\": \"palette\",\n     \"children\": [\n      {\"name\": \"ColorPalette\", \"size\": 6367},\n      {\"name\": \"Palette\", \"size\": 1229},\n      {\"name\": \"ShapePalette\", \"size\": 2059},\n      {\"name\": \"SizePalette\", \"size\": 2291}\n     ]\n    },\n    {\"name\": \"Property\", \"size\": 5559},\n    {\"name\": \"Shapes\", \"size\": 19118},\n    {\"name\": \"Sort\", \"size\": 6887},\n    {\"name\": \"Stats\", \"size\": 6557},\n    {\"name\": \"Strings\", \"size\": 22026}\n   ]\n  },\n  {\n   \"name\": \"vis\",\n   \"children\": [\n    {\n     \"name\": \"axis\",\n     \"children\": [\n      {\"name\": \"Axes\", \"size\": 1302},\n      {\"name\": \"Axis\", \"size\": 24593},\n      {\"name\": \"AxisGridLine\", \"size\": 652},\n      {\"name\": \"AxisLabel\", \"size\": 636},\n      {\"name\": \"CartesianAxes\", \"size\": 6703}\n     ]\n    },\n    {\n     \"name\": \"controls\",\n     \"children\": [\n      {\"name\": \"AnchorControl\", \"size\": 2138},\n      {\"name\": \"ClickControl\", \"size\": 3824},\n      {\"name\": \"Control\", \"size\": 1353},\n      {\"name\": \"ControlList\", \"size\": 4665},\n      {\"name\": \"DragControl\", \"size\": 2649},\n      {\"name\": \"ExpandControl\", \"size\": 2832},\n      {\"name\": \"HoverControl\", \"size\": 4896},\n      {\"name\": \"IControl\", \"size\": 763},\n      {\"name\": \"PanZoomControl\", \"size\": 5222},\n      {\"name\": \"SelectionControl\", \"size\": 7862},\n      {\"name\": \"TooltipControl\", \"size\": 8435}\n     ]\n    },\n    {\n     \"name\": \"data\",\n     \"children\": [\n      {\"name\": \"Data\", \"size\": 20544},\n      {\"name\": \"DataList\", \"size\": 19788},\n      {\"name\": \"DataSprite\", \"size\": 10349},\n      {\"name\": \"EdgeSprite\", \"size\": 3301},\n      {\"name\": \"NodeSprite\", \"size\": 19382},\n      {\n       \"name\": \"render\",\n       \"children\": [\n        {\"name\": \"ArrowType\", \"size\": 698},\n        {\"name\": \"EdgeRenderer\", \"size\": 5569},\n        {\"name\": \"IRenderer\", \"size\": 353},\n        {\"name\": \"ShapeRenderer\", \"size\": 2247}\n       ]\n      },\n      {\"name\": \"ScaleBinding\", \"size\": 11275},\n      {\"name\": \"Tree\", \"size\": 7147},\n      {\"name\": \"TreeBuilder\", \"size\": 9930}\n     ]\n    },\n    {\n     \"name\": \"events\",\n     \"children\": [\n      {\"name\": \"DataEvent\", \"size\": 2313},\n      {\"name\": \"SelectionEvent\", \"size\": 1880},\n      {\"name\": \"TooltipEvent\", \"size\": 1701},\n      {\"name\": \"VisualizationEvent\", \"size\": 1117}\n     ]\n    },\n    {\n     \"name\": \"legend\",\n     \"children\": [\n      {\"name\": \"Legend\", \"size\": 20859},\n      {\"name\": \"LegendItem\", \"size\": 4614},\n      {\"name\": \"LegendRange\", \"size\": 10530}\n     ]\n    },\n    {\n     \"name\": \"operator\",\n     \"children\": [\n      {\n       \"name\": \"distortion\",\n       \"children\": [\n        {\"name\": \"BifocalDistortion\", \"size\": 4461},\n        {\"name\": \"Distortion\", \"size\": 6314},\n        {\"name\": \"FisheyeDistortion\", \"size\": 3444}\n       ]\n      },\n      {\n       \"name\": \"encoder\",\n       \"children\": [\n        {\"name\": \"ColorEncoder\", \"size\": 3179},\n        {\"name\": \"Encoder\", \"size\": 4060},\n        {\"name\": \"PropertyEncoder\", \"size\": 4138},\n        {\"name\": \"ShapeEncoder\", \"size\": 1690},\n        {\"name\": \"SizeEncoder\", \"size\": 1830}\n       ]\n      },\n      {\n       \"name\": \"filter\",\n       \"children\": [\n        {\"name\": \"FisheyeTreeFilter\", \"size\": 5219},\n        {\"name\": \"GraphDistanceFilter\", \"size\": 3165},\n        {\"name\": \"VisibilityFilter\", \"size\": 3509}\n       ]\n      },\n      {\"name\": \"IOperator\", \"size\": 1286},\n      {\n       \"name\": \"label\",\n       \"children\": [\n        {\"name\": \"Labeler\", \"size\": 9956},\n        {\"name\": \"RadialLabeler\", \"size\": 3899},\n        {\"name\": \"StackedAreaLabeler\", \"size\": 3202}\n       ]\n      },\n      {\n       \"name\": \"layout\",\n       \"children\": [\n        {\"name\": \"AxisLayout\", \"size\": 6725},\n        {\"name\": \"BundledEdgeRouter\", \"size\": 3727},\n        {\"name\": \"CircleLayout\", \"size\": 9317},\n        {\"name\": \"CirclePackingLayout\", \"size\": 12003},\n        {\"name\": \"DendrogramLayout\", \"size\": 4853},\n        {\"name\": \"ForceDirectedLayout\", \"size\": 8411},\n        {\"name\": \"IcicleTreeLayout\", \"size\": 4864},\n        {\"name\": \"IndentedTreeLayout\", \"size\": 3174},\n        {\"name\": \"Layout\", \"size\": 7881},\n        {\"name\": \"NodeLinkTreeLayout\", \"size\": 12870},\n        {\"name\": \"PieLayout\", \"size\": 2728},\n        {\"name\": \"RadialTreeLayout\", \"size\": 12348},\n        {\"name\": \"RandomLayout\", \"size\": 870},\n        {\"name\": \"StackedAreaLayout\", \"size\": 9121},\n        {\"name\": \"TreeMapLayout\", \"size\": 9191}\n       ]\n      },\n      {\"name\": \"Operator\", \"size\": 2490},\n      {\"name\": \"OperatorList\", \"size\": 5248},\n      {\"name\": \"OperatorSequence\", \"size\": 4190},\n      {\"name\": \"OperatorSwitch\", \"size\": 2581},\n      {\"name\": \"SortOperator\", \"size\": 2023}\n     ]\n    },\n    {\"name\": \"Visualization\", \"size\": 16540}\n   ]\n  }\n ]\n}","encoding":"utf-8"},"index.html":{"filename":"index.html","type":"text/html","language":"HTML","raw_url":"https://gist.githubusercontent.com/mbostock/4063582/raw/7b00dd6bf23e9a43e26bafaf616f8712fa4985d2/index.html","size":2974,"truncated":false,"content":"<!DOCTYPE html>\n<style>\n\nform {\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n}\n\nsvg {\n  font: 10px sans-serif;\n}\n\n</style>\n<svg width=\"960\" height=\"570\"></svg>\n<form>\n  <label><input type=\"radio\" name=\"mode\" value=\"sumBySize\" checked> Size</label>\n  <label><input type=\"radio\" name=\"mode\" value=\"sumByCount\"> Count</label>\n</form>\n<script src=\"https://d3js.org/d3.v4.min.js\"></script>\n<script>\n\nvar svg = d3.select(\"svg\"),\n    width = +svg.attr(\"width\"),\n    height = +svg.attr(\"height\");\n\nvar fader = function(color) { return d3.interpolateRgb(color, \"#fff\")(0.2); },\n    color = d3.scaleOrdinal(d3.schemeCategory20.map(fader)),\n    format = d3.format(\",d\");\n\nvar treemap = d3.treemap()\n    .tile(d3.treemapResquarify)\n    .size([width, height])\n    .round(true)\n    .paddingInner(1);\n\nd3.json(\"flare.json\", function(error, data) {\n  if (error) throw error;\n\n  var root = d3.hierarchy(data)\n      .eachBefore(function(d) { d.data.id = (d.parent ? d.parent.data.id + \".\" : \"\") + d.data.name; })\n      .sum(sumBySize)\n      .sort(function(a, b) { return b.height - a.height || b.value - a.value; });\n\n  treemap(root);\n\n  var cell = svg.selectAll(\"g\")\n    .data(root.leaves())\n    .enter().append(\"g\")\n      .attr(\"transform\", function(d) { return \"translate(\" + d.x0 + \",\" + d.y0 + \")\"; });\n\n  cell.append(\"rect\")\n      .attr(\"id\", function(d) { return d.data.id; })\n      .attr(\"width\", function(d) { return d.x1 - d.x0; })\n      .attr(\"height\", function(d) { return d.y1 - d.y0; })\n      .attr(\"fill\", function(d) { return color(d.parent.data.id); });\n\n  cell.append(\"clipPath\")\n      .attr(\"id\", function(d) { return \"clip-\" + d.data.id; })\n    .append(\"use\")\n      .attr(\"xlink:href\", function(d) { return \"#\" + d.data.id; });\n\n  cell.append(\"text\")\n      .attr(\"clip-path\", function(d) { return \"url(#clip-\" + d.data.id + \")\"; })\n    .selectAll(\"tspan\")\n      .data(function(d) { return d.data.name.split(/(?=[A-Z][^A-Z])/g); })\n    .enter().append(\"tspan\")\n      .attr(\"x\", 4)\n      .attr(\"y\", function(d, i) { return 13 + i * 10; })\n      .text(function(d) { return d; });\n\n  cell.append(\"title\")\n      .text(function(d) { return d.data.id + \"\\n\" + format(d.value); });\n\n  d3.selectAll(\"input\")\n      .data([sumBySize, sumByCount], function(d) { return d ? d.name : this.value; })\n      .on(\"change\", changed);\n\n  var timeout = d3.timeout(function() {\n    d3.select(\"input[value=\\\"sumByCount\\\"]\")\n        .property(\"checked\", true)\n        .dispatch(\"change\");\n  }, 2000);\n\n  function changed(sum) {\n    timeout.stop();\n\n    treemap(root.sum(sum));\n\n    cell.transition()\n        .duration(750)\n        .attr(\"transform\", function(d) { return \"translate(\" + d.x0 + \",\" + d.y0 + \")\"; })\n      .select(\"rect\")\n        .attr(\"width\", function(d) { return d.x1 - d.x0; })\n        .attr(\"height\", function(d) { return d.y1 - d.y0; });\n  }\n});\n\nfunction sumByCount(d) {\n  return d.children ? 0 : 1;\n}\n\nfunction sumBySize(d) {\n  return d.size;\n}\n\n</script>\n","encoding":"utf-8"},"thumbnail.png":{"filename":"thumbnail.png","type":"image/png","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/4063582/raw/8cebc4ee07093a03fcd0694d6bbf835758ca0c50/thumbnail.png","size":28987,"truncated":false,"content":"iVBORw0KGgoAAAANSUhEUgAAAOYAAAB4CAYAAADmBo6IAAAL5GlDQ1BpY20A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\nCMOQPM+J4xjP80iShDRNAfB9H8dx+NnPfka32+XVV19lfn4eIQS+7wOQJAl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tc8Pn0JB445SkNu2eltc3tt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\nNy/fRHsaGWjKsmSpM0/n6ByffvIp2d0hOnIRSlAMsrGxB3TDQzg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