25:["$","title",null,{"children":"Stacked, Grouped, PerCent or SmallMultiple | Rebecca Williams | Observable"}] 49:Td29,chart = { const svg = d3.create("svg").attr("viewBox", [0, 0, width, height]); const rect = svg .selectAll("g") .data(series) .join("g") .attr("fill", (d, i) => color(i)) .selectAll("rect") .data((d) => d) .join("rect") .attr("x", (d, i) => x(i)) .attr("y", height - margin.bottom) .attr("width", x.bandwidth()) .attr("height", 0); const yAxis = svg .append("g") .attr("transform", `translate(${margin.left},0)`); const xAxis = svg .append("g") .attr("transform", `translate(0,${height - margin.bottom})`); xAxis.call( d3 .axisBottom(x) .tickSizeOuter(0) .tickFormat((d) => d) ); function yAxisupdate(p) { yAxis .transition() .duration(500) .call( d3 .axisLeft(y) .tickPadding(8) .tickFormat((d) => (p === undefined ? d : 100 * d)) ); } function transitionGrouped() { y.domain([0, yMax]); yAxisupdate(); rect .transition() .duration(500) .delay((d, i) => i * 20) .attr("x", (d, i) => x(i) + (x.bandwidth() / ctr.n) * d[2]) .attr("width", x.bandwidth() / ctr.n) .transition() .attr("y", (d) => y(d[1] - 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y(d[1] - d[0])) .transition() .attr("x", (d, i) => x(i)) .attr("width", x.bandwidth()); } function transitionProportion() { y.domain([0, 1]); yAxisupdate(true); rect .transition() .duration(500) .delay((d, i) => i * 20) .attr("y", (d) => y(d[1] / d[4])) .attr("height", (d) => y(d[0] / d[4]) - y(d[1] / d[4])) .transition() .attr("x", (d, i) => x(i)) .attr("width", x.bandwidth()); } function update(ctr) { d3.selectAll(".axiss").remove(); if (ctr.layout === "Stacked") transitionStacked(); if (ctr.layout === "Grouped") transitionGrouped(); if (ctr.layout === "Small Multiple") transitionSeparated(); if (ctr.layout === "Per Cent") transitionProportion(); } return Object.assign(svg.node(), { update }); }4a:[] 29:{"id":"338565ee9c746dac","slug":null,"title":"Stacked, Grouped, PerCent or SmallMultiple","thumbnail":"034c84a5e068f2226e6d698981766ce3aec872d091040e169a2053f030fcbd4f","access_level":"public","create_time":"$D2023-10-08T22:02:06.721Z","update_time":"$D2023-10-08T22:03:04.666Z","view_time":null,"first_public_time":"$D2023-10-08T22:02:06.721Z","has_unpublished_edits":null,"fork":{"id":"76c1e9ef4f8d196b","slug":"stacked-grouped-percent-or-smallmultiple","title":"Stacked, Grouped, PerCent or SmallMultiple","owner":{"id":"f8fce27399341cf5","login":"alainro","name":"Alain Roan"}},"stars":0,"starred":false,"owner":{"type":"team","id":"8b9227fee9925e85","login":"rmwillia","name":"Rebecca Williams","avatar_url":"https://avatars-next.observableusercontent.com/d2ce1f7b2ba260d452b563dc0abfd99dc06e2e7955f1e8c2e3d7d24f0843d61b","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":922,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"eae57c97f099cc51","login":"rmwillia","name":"Rebecca Williams","avatar_url":"https://avatars-next.observableusercontent.com/d2ce1f7b2ba260d452b563dc0abfd99dc06e2e7955f1e8c2e3d7d24f0843d61b","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"eae57c97f099cc51","login":"rmwillia","name":"Rebecca Williams","avatar_url":"https://avatars-next.observableusercontent.com/d2ce1f7b2ba260d452b563dc0abfd99dc06e2e7955f1e8c2e3d7d24f0843d61b","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Stacked, Grouped, PerCent or SmallMultiple","cells":[{"id":0,"value":"md`# Stacked, Grouped, PerCent or SmallMultiple\n\nSandbox for understanding the range of usage of Stacked, Grouped, Percent and Cumulative Small Multiples.\nData is made of random waves. \n\nNumber of series and points can be adjusted.\n\nFurther explanations of my [website](https://perceptible.fr/blog/stacked) (in french)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":623,"value":"viewof ctr = controlPanel([\n [\n Ctrls.radioGroup(\n \"layout\",\n [\"Stacked\", \"Per Cent\", \"Grouped\", \"Small Multiple\"],\n {\n label: \"Choose visualization\",\n value: \"Stacked\"\n }\n )\n ],\n [\n Ctrls.slider(\"n\", {\n label: \"Number of series : \",\n min: 2,\n max: 10,\n step: 1,\n value: 3\n }),\n Ctrls.slider(\"m\", {\n label: \"Number of points : \",\n min: 5,\n max: 100,\n step: 1,\n value: 20\n })\n ]\n])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":60,"value":"$49","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":830,"value":"update = chart.update(ctr)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":75,"value":"xz = d3.range(ctr.m) // the x-values shared by all series","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":88,"value":"yz = d3.range(ctr.n).map(() => bumps(ctr.m)) // the y-values of each of the n series","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":262,"value":"function offset(series) {\n if (series.length < 1) return;\n // Standard series\n let base = [0],\n baseSum = 0;\n series.forEach((s, i) => {\n baseSum += d3.max(s, d => d[1] - d[0]);\n base[i + 1] = baseSum;\n });\n\n series.forEach((s, i) => s.forEach(d => (d[3] = base[i]))); // La somme des max\n\n let days = [];\n xz.forEach(\n i => (days[i] = series.reduce((p, e, j) => p + e[i][1] - e[i][0], 0))\n ); // La somme des valeur par jours (percent)\n\n days.forEach((d, i) => series.forEach(s => (s[i][4] = days[i]))); // La somme des max\n\n return series;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":264,"value":"series = offset(\n y01z.sort(\n (a, b) => d3.max(b, (d) => d[1] - d[0]) - d3.max(a, (d) => d[1] - d[0])\n )\n).map((d, i) => {\n d.forEach((e) => (e[2] = i));\n return d;\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":888,"value":"intervals = y01z\n .map((d) => d3.extent(d.map((e) => e[1])))\n .map((d) => d[1])\n .sort((a, b) => b - 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margin.right])\n .padding(0.08)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":107,"value":"y = d3\n .scaleLinear()\n .domain([0, y1Max])\n .range([height - margin.bottom, margin.top])\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":113,"value":"height = 400","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":416,"value":"color = i => d3.schemePaired[i]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":118,"value":"margin = ({ top: 10, right: 0, bottom: 20, left: 30 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":69,"value":"// Returns an array of m psuedorandom, smoothly-varying non-negative numbers.\n// Inspired by Lee Byron’s test data generator.\n// http://leebyron.com/streamgraph/\nfunction bumps(m) {\n const values = [];\n\n // Initialize with uniform random values in [0.1, 0.2).\n for (let i = 0; i < m; ++i) {\n values[i] = 0.1 + 0.1 * Math.random();\n }\n\n // Add five random bumps.\n for (let j = 0; j < 5; ++j) {\n const x = 1 / (0.1 + Math.random());\n const y = 2 * Math.random() - 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