{"url":"https://api.github.com/gists/5872848","forks_url":"https://api.github.com/gists/5872848/forks","commits_url":"https://api.github.com/gists/5872848/commits","id":"5872848","node_id":"MDQ6R2lzdDU4NzI4NDg=","git_pull_url":"https://gist.github.com/5872848.git","git_push_url":"https://gist.github.com/5872848.git","html_url":"https://gist.github.com/mbostock/5872848","files":{".block":{"filename":".block","type":"text/plain","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/5872848/raw/703d310b399098a243a76a50bc209167e924cfd2/.block","size":17,"truncated":false,"content":"license: gpl-3.0\n","encoding":"utf-8"},"README.md":{"filename":"README.md","type":"text/markdown","language":"Markdown","raw_url":"https://gist.githubusercontent.com/mbostock/5872848/raw/4ccd9dd3bfd1a17af559ac15f067c6c52c965a28/README.md","size":1071,"truncated":false,"content":"This example demonstrates how to use [d3.dispatch](https://github.com/mbostock/d3/wiki/Internals#wiki-d3_dispatch) to coordinate views with shared state. Here, a bar chart and a pie chart show two views of the same data: population by age group for a given state. (For brevity, a legend is omitted.) This example uses two custom events: a *load* event when data is available, and a  *statechange* event when the displayed state is changed.\n\nCustom events allow loose coupling of components: views can listen for events and update the DOM accordingly, without needing to explicitly tie each view together. When the drop-down menu changes, a *statechange* event is triggered which causes any interested listeners to be notified.\n\nEach view uses a unique name, such as \"bar\" or \"pie\", so that multiple listeners can be notified for a single event. (D3 requires listeners to be named, rather than anonymous, so that it’s easier to remove or inspect registered listeners.) Thus, the \"load.menu\", \"load.bar\" and \"load.pie\" listeners are all notified when the data is loaded.\n","encoding":"utf-8"},"data.csv":{"filename":"data.csv","type":"text/csv","language":"CSV","raw_url":"https://gist.githubusercontent.com/mbostock/5872848/raw/178cdc4c900967b134175369147682a55ad3cebe/data.csv","size":2804,"truncated":false,"content":"id,Under 5 Years,5 to 13 Years,14 to 17 Years,18 to 24 Years,25 to 44 Years,45 to 64 Years,65 Years and Over\nAL,310504,552339,259034,450818,1231572,1215966,641667\nAK,52083,85640,42153,74257,198724,183159,50277\nAZ,515910,828669,362642,601943,1804762,1523681,862573\nAR,202070,343207,157204,264160,754420,727124,407205\nCA,2704659,4499890,2159981,3853788,10604510,8819342,4114496\nCO,358280,587154,261701,466194,1464939,1290094,511094\nCT,211637,403658,196918,325110,916955,968967,478007\nDE,59319,99496,47414,84464,230183,230528,121688\nDC,36352,50439,25225,75569,193557,140043,70648\nFL,1140516,1938695,925060,1607297,4782119,4746856,3187797\nGA,740521,1250460,557860,919876,2846985,2389018,981024\nHI,87207,134025,64011,124834,356237,331817,190067\nID,121746,201192,89702,147606,406247,375173,182150\nIL,894368,1558919,725973,1311479,3596343,3239173,1575308\nIN,443089,780199,361393,605863,1724528,1647881,813839\nIA,201321,345409,165883,306398,750505,788485,444554\nKS,202529,342134,155822,293114,728166,713663,366706\nKY,284601,493536,229927,381394,1179637,1134283,565867\nLA,310716,542341,254916,471275,1162463,1128771,540314\nME,71459,133656,69752,112682,331809,397911,199187\nMD,371787,651923,316873,543470,1556225,1513754,679565\nMA,383568,701752,341713,665879,1782449,1751508,871098\nMI,625526,1179503,585169,974480,2628322,2706100,1304322\nMN,358471,606802,289371,507289,1416063,1391878,650519\nMS,220813,371502,174405,305964,764203,730133,371598\nMO,399450,690476,331543,560463,1569626,1554812,805235\nMT,61114,106088,53156,95232,236297,278241,137312\nNE,132092,215265,99638,186657,457177,451756,240847\nNV,199175,325650,142976,212379,769913,653357,296717\nNH,75297,144235,73826,119114,345109,388250,169978\nNJ,557421,1011656,478505,769321,2379649,2335168,1150941\nNM,148323,241326,112801,203097,517154,501604,260051\nNY,1208495,2141490,1058031,1999120,5355235,5120254,2607672\nNC,652823,1097890,492964,883397,2575603,2380685,1139052\nND,41896,67358,33794,82629,154913,166615,94276\nOH,743750,1340492,646135,1081734,3019147,3083815,1570837\nOK,266547,438926,200562,369916,957085,918688,490637\nOR,243483,424167,199925,338162,1044056,1036269,503998\nPA,737462,1345341,679201,1203944,3157759,3414001,1910571\nRI,60934,111408,56198,114502,277779,282321,147646\nSC,303024,517803,245400,438147,1193112,1186019,596295\nSD,58566,94438,45305,82869,196738,210178,116100\nTN,416334,725948,336312,550612,1719433,1646623,819626\nTX,2027307,3277946,1420518,2454721,7017731,5656528,2472223\nUT,268916,413034,167685,329585,772024,538978,246202\nVT,32635,62538,33757,61679,155419,188593,86649\nVA,522672,887525,413004,768475,2203286,2033550,940577\nWA,433119,750274,357782,610378,1850983,1762811,783877\nWV,105435,189649,91074,157989,470749,514505,285067\nWI,362277,640286,311849,553914,1487457,1522038,750146\nWY,38253,60890,29314,53980,137338,147279,65614\n","encoding":"utf-8"},"index.html":{"filename":"index.html","type":"text/html","language":"HTML","raw_url":"https://gist.githubusercontent.com/mbostock/5872848/raw/67c1686a9e9b4d9a7a89a82aa4197130e5c1257c/index.html","size":3865,"truncated":false,"content":"<!DOCTYPE html>\n<meta charset=\"utf-8\">\n<style>\n\n.axis text {\n  font: 10px sans-serif;\n}\n\n.axis line,\n.axis path {\n  fill: none;\n  stroke: #000;\n  shape-rendering: crispEdges;\n}\n\n</style>\n<body>\n<script src=\"//d3js.org/d3.v4.min.js\"></script>\n<script>\n\nvar dispatch = d3.dispatch(\"load\", \"statechange\");\n\nvar groups = [\n  \"Under 5 Years\",\n  \"5 to 13 Years\",\n  \"14 to 17 Years\",\n  \"18 to 24 Years\",\n  \"25 to 44 Years\",\n  \"45 to 64 Years\",\n  \"65 Years and Over\"\n];\n\nd3.csv(\"data.csv\", type, function(error, states) {\n  if (error) throw error;\n  var stateById = d3.map();\n  states.forEach(function(d) { stateById.set(d.id, d); });\n  dispatch.call(\"load\", this, stateById);\n  dispatch.call(\"statechange\", this, stateById.get(\"CA\"));\n});\n\n// A drop-down menu for selecting a state; uses the \"menu\" namespace.\ndispatch.on(\"load.menu\", function(stateById) {\n  var select = d3.select(\"body\")\n    .append(\"div\")\n    .append(\"select\")\n      .on(\"change\", function() { dispatch.call(\"statechange\", this, stateById.get(this.value)); });\n\n  select.selectAll(\"option\")\n      .data(stateById.values())\n    .enter().append(\"option\")\n      .attr(\"value\", function(d) { return d.id; })\n      .text(function(d) { return d.id; });\n\n  dispatch.on(\"statechange.menu\", function(state) {\n    select.property(\"value\", state.id);\n  });\n});\n\n// A bar chart to show total population; uses the \"bar\" namespace.\ndispatch.on(\"load.bar\", function(stateById) {\n  var margin = {top: 20, right: 20, bottom: 30, left: 40},\n      width = 80 - margin.left - margin.right,\n      height = 460 - margin.top - margin.bottom;\n\n  var y = d3.scaleLinear()\n      .domain([0, d3.max(stateById.values(), function(d) { return d.total; })])\n      .rangeRound([height, 0])\n      .nice();\n\n  var yAxis = d3.axisLeft(y)\n      .tickFormat(d3.format(\".2s\"));\n\n  var svg = d3.select(\"body\").append(\"svg\")\n      .attr(\"width\", width + margin.left + margin.right)\n      .attr(\"height\", height + margin.top + margin.bottom)\n    .append(\"g\")\n      .attr(\"transform\", \"translate(\" + margin.left + \",\" + margin.top + \")\");\n\n  svg.append(\"g\")\n      .attr(\"class\", \"y axis\")\n      .call(yAxis);\n\n  var rect = svg.append(\"rect\")\n      .attr(\"x\", 4)\n      .attr(\"width\", width - 4)\n      .attr(\"y\", height)\n      .attr(\"height\", 0)\n      .style(\"fill\", \"#aaa\");\n\n  dispatch.on(\"statechange.bar\", function(d) {\n    rect.transition()\n        .attr(\"y\", y(d.total))\n        .attr(\"height\", y(0) - y(d.total));\n  });\n});\n\n// A pie chart to show population by age group; uses the \"pie\" namespace.\ndispatch.on(\"load.pie\", function(stateById) {\n  var width = 880,\n      height = 460,\n      radius = Math.min(width, height) / 2;\n\n  var color = d3.scaleOrdinal()\n      .domain(groups)\n      .range([\"#98abc5\", \"#8a89a6\", \"#7b6888\", \"#6b486b\", \"#a05d56\", \"#d0743c\", \"#ff8c00\"]);\n\n  var arc = d3.arc()\n      .outerRadius(radius - 10)\n      .innerRadius(radius - 70);\n\n  var pie = d3.pie()\n      .sort(null);\n\n  var svg = d3.select(\"body\").append(\"svg\")\n      .attr(\"width\", width)\n      .attr(\"height\", height)\n    .append(\"g\")\n      .attr(\"transform\", \"translate(\" + width / 2 + \",\" + height / 2 + \")\");\n\n  var path = svg.selectAll(\"path\")\n      .data(groups)\n    .enter().append(\"path\")\n      .style(\"fill\", color)\n      .each(function() { this._current = {startAngle: 0, endAngle: 0}; });\n\n  dispatch.on(\"statechange.pie\", function(d) {\n    path.data(pie.value(function(g) { return d[g]; })(groups)).transition()\n        .attrTween(\"d\", function(d) {\n          var interpolate = d3.interpolate(this._current, d);\n          this._current = interpolate(0);\n          return function(t) {\n            return arc(interpolate(t));\n          };\n        });\n  });\n});\n\n// Coerce population counts to numbers and compute total per state.\nfunction type(d) {\n  d.total = d3.sum(groups, function(k) { return d[k] = +d[k]; });\n  return d;\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/5872848/raw/ed399cb807cae14f3dcb60eefbb8534475c9d344/thumbnail.png","size":11602,"truncated":false,"content":"iVBORw0KGgoAAAANSUhEUgAAAOYAAAB4CAIAAABpZBnfAAAKnWlDQ1BpY20A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\nsW2dbW6hbuAMLISIDcYAgMr46S1fyS4anrK044NIBc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