2b:null 2c:["$","title",null,{"children":"Parallel sets | D3 | Observable"}] 31:T6f0,function ParallelSets(data, { color = d3.scaleOrdinal(["Perished"], ["#da4f81"]).unknown("#ccc"), width = 928, height = 720 } = {}) { const sankey = d3.sankey() .nodeSort(null) .linkSort(null) .nodeWidth(4) .nodePadding(20) .extent([[0, 5], [width, height - 5]]) const svg = d3.create("svg") .attr("viewBox", [0, 0, width, height]) .attr("width", width) .attr("height", height) .attr("style", "max-width: 100%; height: auto;"); const g = graph(data); const {nodes, links} = sankey({ nodes: g.nodes.map(d => Object.create(d)), links: g.links.map(d => Object.create(d)) }); svg.append("g") .selectAll("rect") .data(nodes) .join("rect") .attr("x", d => d.x0) .attr("y", d => d.y0) .attr("height", d => d.y1 - d.y0) .attr("width", d => d.x1 - d.x0) .append("title") .text(d => `${d.name}\n${d.value.toLocaleString()}`); svg.append("g") .attr("fill", "none") .selectAll("g") .data(links) .join("path") .attr("d", d3.sankeyLinkHorizontal()) .attr("stroke", d => color(d.names[0])) .attr("stroke-width", d => d.width) .style("mix-blend-mode", "multiply") .append("title") .text(d => `${d.names.join(" → ")}\n${d.value.toLocaleString()}`); svg.append("g") .style("font", "10px sans-serif") .selectAll("text") .data(nodes) .join("text") .attr("x", d => d.x0 < width / 2 ? d.x1 + 6 : d.x0 - 6) .attr("y", d => (d.y1 + d.y0) / 2) .attr("dy", "0.35em") .attr("text-anchor", d => d.x0 < width / 2 ? "start" : "end") .text(d => d.name) .append("tspan") .attr("fill-opacity", 0.7) .text(d => ` ${d.value.toLocaleString()}`); return svg.node(); }32:T464,function graph(data) { const keys = data.columns.slice(0, -1); let index = -1; const nodes = []; const nodeByKey = new d3.InternMap([], JSON.stringify);; const indexByKey = new d3.InternMap([], JSON.stringify);; const links = []; for (const k of keys) { for (const d of data) { const key = [k, d[k]]; if (nodeByKey.has(key)) continue; const node = {name: d[k]}; nodes.push(node); nodeByKey.set(key, node); indexByKey.set(key, ++index); } } for (let i = 1; i < keys.length; ++i) { const a = keys[i - 1]; const b = keys[i]; const prefix = keys.slice(0, i + 1); const linkByKey = new d3.InternMap([], JSON.stringify); for (const d of data) { const names = prefix.map(k => d[k]); const value = d.value || 1; let link = linkByKey.get(names); if (link) { link.value += value; continue; } link = { source: indexByKey.get([a, d[a]]), target: indexByKey.get([b, d[b]]), names, value }; links.push(link); linkByKey.set(names, link); } } return {nodes, links}; }33:[{"id":"3a1e9bb1ba5d9eb731c86c272fccb2543886aca0ef0b80add89f0471177427c5c6627d5ee5d85d011e44cc14019a0509bf309c6db2d347f9bdf7fe26723432d7","href":"https://static.observableusercontent.com/files/3a1e9bb1ba5d9eb731c86c272fccb2543886aca0ef0b80add89f0471177427c5c6627d5ee5d85d011e44cc14019a0509bf309c6db2d347f9bdf7fe26723432d7","name":"titanic.csv","type":"application/octet-stream","lastModified":1572388546304.975,"size":873}] 2f:{"id":"dde4715990f04109","slug":"parallel-sets","title":"Parallel sets","thumbnail":"9e4e4455a2a032e29c93bc4681b8e99a9721cf6494adbe472dff430e4186de03","access_level":"public","create_time":"$D2019-03-10T23:48:10.111Z","update_time":"$D2026-05-23T19:27:16.714Z","view_time":null,"first_public_time":"$D2019-03-11T06:02:49.025Z","fork":false,"stars":112,"starred":false,"owner":{"type":"team","id":"863951e3ebe4c0ae","login":"d3","name":"D3","avatar_url":"https://avatars-next.observableusercontent.com/5af16e327a90b2873351dda8a596c0d2d3bf954f64523deefe80177c9764d0f7","tier":"pro_2024"},"version":274,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"074c414ad1d825f5","login":"mbostock","name":"Mike Bostock","avatar_url":"https://avatars-next.observableusercontent.com/7dbba99ced40bd5ab8013c99b1a11da61231bce321ba1148a9d16ad0f121550a","tier":null}],"members":[{"type":"team","id":"863951e3ebe4c0ae","login":"d3","name":"D3","avatar_url":"https://avatars-next.observableusercontent.com/5af16e327a90b2873351dda8a596c0d2d3bf954f64523deefe80177c9764d0f7","tier":"pro_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":598,"collection":{"id":"b7b55a3565ebe2c5","slug":"d3-sankey","title":"d3-sankey","owner":{"id":"863951e3ebe4c0ae","login":"d3","name":"D3"}},"type":"notebook","body":{"title":"Parallel sets","cells":[{"id":0,"value":"

Parallel sets

D3 › Gallery

\n\n# Parallel sets\n\n[Parallel sets](https://eagereyes.org/publications/Bendix-InfoVis-2005) are like [parallel coordinates](/@d3/parallel-coordinates), but for categorical dimensions. The thickness of each curved line represents a quantity that is repeatedly subdivided by category. This example looks at the *Titanic* disaster of 1912.\n\nData: [Robert J. MacG. Dawson](http://jse.amstat.org/v3n3/datasets.dawson.html)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":270,"value":"chart = ParallelSets(data)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":40,"value":"$31","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":46,"value":"$32","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":65,"value":"data = FileAttachment(\"titanic.csv\").csv({typed: true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":20,"value":"d3 = require(\"d3@7\", \"d3-sankey@0.12\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W33","stdlib":"1","titling":"auto"}} 30:"$2f:body"