${data.title[0]}${labels[i] && ` (${labels[i]})`} ${data.title[1]}${labels[j] && ` (${labels[j]})`}

31:T44c,legend = () => { const k = 24; const arrow = DOM.uid(); return svg` ${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg` ${data.title[0]}${labels[i] && ` (${labels[i]})`} ${data.title[1]}${labels[j] && ` (${labels[j]})`} `)} ${data.title[0]} ${data.title[1]} `; }32:[] 2f:{"title":"Black and Latino U.S. population shares","cells":[{"id":0,"value":"md`# Black and Latino U.S. population shares\n\nAn example of using data from the Data Desk's open-source [census-data-downloader](https://github.com/datadesk/census-data-downloader).`","pinned":false,"hidden":false,"mode":"ojs"},{"id":14,"value":"chart = {\n const path = d3.geoPath();\n\n const svg = d3.create(\"svg\")\n .attr(\"viewBox\", \"0 0 960 600\")\n .style(\"width\", \"100%\")\n .style(\"height\", \"auto\");\n\n svg.append(legend)\n .attr(\"transform\", \"translate(870,450)\");\n\n svg.append(\"g\")\n .selectAll(\"path\")\n .data(topojson.feature(us, us.objects.counties).features)\n .join(\"path\")\n .attr(\"fill\", d => color(data.get(d.id)))\n .attr(\"d\", path)\n .append(\"title\")\n .text(d => `${d.properties.name}, ${states.get(d.id.slice(0, 2)).name}\n${format(data.get(d.id))}`);\n\n svg.append(\"path\")\n .datum(topojson.mesh(us, us.objects.states, (a, b) => a !== b))\n .attr(\"fill\", \"none\")\n .attr(\"stroke\", \"white\")\n .attr(\"stroke-linejoin\", \"round\")\n .attr(\"d\", path);\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":448,"value":"md`Source: [American Community Survey 2017 five-year estimates](https://github.com/datadesk/census-data-downloader/blob/master/data/processed/acs5_2017_race_counties.csv)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":126,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":16,"value":"data = {\n const data_list = raw_data.map(d => {\n return [\n d.geoid, [\n percent(+d.black_alone, +d.total),\n percent(+d.latino_alone, +d.total)\n ]\n ];\n });\n const data_map = new Map(data_list);\n return Object.assign(data_map, {title: [\"Black\", \"Latino\"]});\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":421,"value":"percent = (a,b) => ((a/b)*100).toFixed(1)","pinned":true,"hidden":false,"mode":"ojs"},{"id":395,"value":"raw_data = await d3.csv(\"https://raw.githubusercontent.com/datadesk/census-data-downloader/4ade2a3feaf31843753b3a1fde38d4161dc58308/data/processed/acs5_2017_race_counties.csv\")","pinned":true,"hidden":false,"mode":"ojs"},{"id":359,"value":"// http://www.joshuastevens.net/cartography/make-a-bivariate-choropleth-map/\nschemes = [\n {\n name: \"RdBu\", \n colors: [\n \"#e8e8e8\", \"#e4acac\", \"#c85a5a\",\n \"#b0d5df\", \"#ad9ea5\", \"#985356\",\n \"#64acbe\", \"#627f8c\", \"#574249\"\n ]\n },\n {\n name: \"BuPu\", \n colors: [\n \"#e8e8e8\", \"#ace4e4\", \"#5ac8c8\",\n \"#dfb0d6\", \"#a5add3\", \"#5698b9\", \n \"#be64ac\", \"#8c62aa\", \"#3b4994\"\n ]\n },\n {\n name: \"GnBu\", \n colors: [\n \"#e8e8e8\", \"#b5c0da\", \"#6c83b5\",\n \"#b8d6be\", \"#90b2b3\", \"#567994\",\n \"#73ae80\", \"#5a9178\", \"#2a5a5b\"\n ]\n },\n {\n name: \"PuOr\", \n colors: [\n \"#e8e8e8\", \"#e4d9ac\", \"#c8b35a\",\n \"#cbb8d7\", \"#c8ada0\", \"#af8e53\",\n \"#9972af\", \"#976b82\", \"#804d36\"\n ]\n }\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":194,"value":"viewof colors = {\n const form = html`

`;\n form.i.selectedIndex = 1;\n form.oninput = () => form.value = schemes[form.i.selectedIndex].colors;\n form.oninput();\n return form;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":216,"value":"labels = [\"low\", \"\", \"high\"]","pinned":false,"hidden":false,"mode":"ojs"},{"id":207,"value":"n = Math.floor(Math.sqrt(colors.length))","pinned":false,"hidden":false,"mode":"ojs"},{"id":209,"value":"x = d3.scaleQuantile(Array.from(data.values(), d => d[0]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs"},{"id":204,"value":"y = d3.scaleQuantile(Array.from(data.values(), d => d[1]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs"},{"id":69,"value":"color = {\n return value => {\n if (!value) return \"#ccc\";\n let [a, b] = value;\n return colors[y(b) + x(a) * n];\n };\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":75,"value":"format = (value) => {\n if (!value) return \"N/A\";\n let [a, b] = value;\n return `${a}% ${data.title[0]}${labels[x(a)] && ` (${labels[x(a)]})`}\n${b}% ${data.title[1]}${labels[y(b)] && ` (${labels[y(b)]})`}`;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":379,"value":"states = new Map(us.objects.states.geometries.map(d => [d.id, d.properties]))","pinned":false,"hidden":false,"mode":"ojs"},{"id":8,"value":"us = d3.json(\"https://cdn.jsdelivr.net/npm/us-atlas@2/us/10m.json\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":6,"value":"topojson = require(\"topojson-client@3\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":3,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W32","stdlib":"1","titling":"auto"}