{"url":"https://api.github.com/gists/3887051","forks_url":"https://api.github.com/gists/3887051/forks","commits_url":"https://api.github.com/gists/3887051/commits","id":"3887051","node_id":"MDQ6R2lzdDM4ODcwNTE=","git_pull_url":"https://gist.github.com/3887051.git","git_push_url":"https://gist.github.com/3887051.git","html_url":"https://gist.github.com/mbostock/3887051","files":{".block":{"filename":".block","type":"text/plain","language":null,"raw_url":"https://gist.githubusercontent.com/mbostock/3887051/raw/79ac6db13cbb0de6e807f4e0f83c13669f3018d6/.block","size":74,"truncated":false,"content":"license: gpl-3.0\nredirect: https://observablehq.com/@d3/grouped-bar-chart\n","encoding":"utf-8"},"README.md":{"filename":"README.md","type":"text/markdown","language":"Markdown","raw_url":"https://gist.githubusercontent.com/mbostock/3887051/raw/4737f05e0dee1f41000f141ad98dc990ce2826a3/README.md","size":889,"truncated":false,"content":"This grouped bar chart is constructed from a CSV file storing the populations of different states by age group. The chart employs [conventional margins](http://bl.ocks.org/3019563) and a number of D3 features:\n\n* [d3.csv](https://github.com/mbostock/d3/wiki/CSV) - load and parse data\n* [d3.scale.ordinal](https://github.com/mbostock/d3/wiki/Ordinal-Scales) - *x*-position encoding and color encoding\n* [d3.scale.linear](https://github.com/mbostock/d3/wiki/Quantitative-Scales) - *y*-position encoding\n* [d3.format](https://github.com/mbostock/d3/wiki/Formatting#wiki-d3_format) - SI prefix formatting (e.g., “10M” for 10,000,000)\n* [d3.max](https://github.com/mbostock/d3/wiki/Arrays#wiki-d3_max) - compute domains\n* [d3.keys](https://github.com/mbostock/d3/wiki/Arrays#wiki-d3_keys) - compute column names\n* [d3.svg.axis](https://github.com/mbostock/d3/wiki/SVG-Axes) - display axes\n","encoding":"utf-8"},"data.csv":{"filename":"data.csv","type":"text/csv","language":"CSV","raw_url":"https://gist.githubusercontent.com/mbostock/3887051/raw/cd6a0463f6dd41e1cc12fcaaa75cc473d23b8c42/data.csv","size":462,"truncated":false,"content":"State,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\nCA,2704659,4499890,2159981,3853788,10604510,8819342,4114496\nTX,2027307,3277946,1420518,2454721,7017731,5656528,2472223\nNY,1208495,2141490,1058031,1999120,5355235,5120254,2607672\nFL,1140516,1938695,925060,1607297,4782119,4746856,3187797\nIL,894368,1558919,725973,1311479,3596343,3239173,1575308\nPA,737462,1345341,679201,1203944,3157759,3414001,1910571\n","encoding":"utf-8"},"index.html":{"filename":"index.html","type":"text/html","language":"HTML","raw_url":"https://gist.githubusercontent.com/mbostock/3887051/raw/9e41ad9de2c1b2236b05c87fe90f3e675c9b1ff8/index.html","size":2842,"truncated":false,"content":"<!DOCTYPE html>\n<style>\n\n.axis .domain {\n  display: none;\n}\n\n</style>\n<svg width=\"960\" height=\"500\"></svg>\n<script src=\"https://d3js.org/d3.v4.min.js\"></script>\n<script>\n\nvar svg = d3.select(\"svg\"),\n    margin = {top: 20, right: 20, bottom: 30, left: 40},\n    width = +svg.attr(\"width\") - margin.left - margin.right,\n    height = +svg.attr(\"height\") - margin.top - margin.bottom,\n    g = svg.append(\"g\").attr(\"transform\", \"translate(\" + margin.left + \",\" + margin.top + \")\");\n\nvar x0 = d3.scaleBand()\n    .rangeRound([0, width])\n    .paddingInner(0.1);\n\nvar x1 = d3.scaleBand()\n    .padding(0.05);\n\nvar y = d3.scaleLinear()\n    .rangeRound([height, 0]);\n\nvar z = d3.scaleOrdinal()\n    .range([\"#98abc5\", \"#8a89a6\", \"#7b6888\", \"#6b486b\", \"#a05d56\", \"#d0743c\", \"#ff8c00\"]);\n\nd3.csv(\"data.csv\", function(d, i, columns) {\n  for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = +d[columns[i]];\n  return d;\n}, function(error, data) {\n  if (error) throw error;\n\n  var keys = data.columns.slice(1);\n\n  x0.domain(data.map(function(d) { return d.State; }));\n  x1.domain(keys).rangeRound([0, x0.bandwidth()]);\n  y.domain([0, d3.max(data, function(d) { return d3.max(keys, function(key) { return d[key]; }); })]).nice();\n\n  g.append(\"g\")\n    .selectAll(\"g\")\n    .data(data)\n    .enter().append(\"g\")\n      .attr(\"transform\", function(d) { return \"translate(\" + x0(d.State) + \",0)\"; })\n    .selectAll(\"rect\")\n    .data(function(d) { return keys.map(function(key) { return {key: key, value: d[key]}; }); })\n    .enter().append(\"rect\")\n      .attr(\"x\", function(d) { return x1(d.key); })\n      .attr(\"y\", function(d) { return y(d.value); })\n      .attr(\"width\", x1.bandwidth())\n      .attr(\"height\", function(d) { return height - y(d.value); })\n      .attr(\"fill\", function(d) { return z(d.key); });\n\n  g.append(\"g\")\n      .attr(\"class\", \"axis\")\n      .attr(\"transform\", \"translate(0,\" + height + \")\")\n      .call(d3.axisBottom(x0));\n\n  g.append(\"g\")\n      .attr(\"class\", \"axis\")\n      .call(d3.axisLeft(y).ticks(null, \"s\"))\n    .append(\"text\")\n      .attr(\"x\", 2)\n      .attr(\"y\", y(y.ticks().pop()) + 0.5)\n      .attr(\"dy\", \"0.32em\")\n      .attr(\"fill\", \"#000\")\n      .attr(\"font-weight\", \"bold\")\n      .attr(\"text-anchor\", \"start\")\n      .text(\"Population\");\n\n  var legend = g.append(\"g\")\n      .attr(\"font-family\", \"sans-serif\")\n      .attr(\"font-size\", 10)\n      .attr(\"text-anchor\", \"end\")\n    .selectAll(\"g\")\n    .data(keys.slice().reverse())\n    .enter().append(\"g\")\n      .attr(\"transform\", function(d, i) { return \"translate(0,\" + i * 20 + \")\"; });\n\n  legend.append(\"rect\")\n      .attr(\"x\", width - 19)\n      .attr(\"width\", 19)\n      .attr(\"height\", 19)\n      .attr(\"fill\", z);\n\n  legend.append(\"text\")\n      .attr(\"x\", width - 24)\n      .attr(\"y\", 9.5)\n 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