3e:null 3f:["$","title",null,{"children":"Animated Sankey | Ian Mulholland | Observable"}] 45:T2bab,async function drawChart() { // Data const dataset = await d3.json("https://gist.githubusercontent.com/chekos/71684338933702eaf1fc8fe2c65ac37d/raw/ea15ca6316a27e715d9284f7b722deb53f64c084/education.json") // Accessors const sexAccessor = d => d.sex const sexes = ["female", "male"] const sexIds = d3.range(sexes.length) const educationAccessor = d => d.education const educationNames = [ " d.ses const sesNames = ["Facebook", "Whatsapp", "Netflix"] const sesIds = d3.range(sesNames.length) // probabilities const stackedProbabilities = {} dataset.forEach(startingPoint => { const key = getStatusKey(startingPoint) let stackedProbability = 0 stackedProbabilities[key] = educationNames.map((education, i) => { stackedProbability += (startingPoint[education] / 100) if (i == educationNames.length - 1) { // account for rounding return 1 } else { return stackedProbability } }) }) // persons let currentPersonId = 0 function generatePerson(elapsed) { currentPersonId++ const sex = getRandomValue(sexIds) const ses = getRandomValue(sesIds) const statusKey = getStatusKey({ sex: sexes[sex], ses: sesNames[ses], }) const probabilities = stackedProbabilities[statusKey] const education = d3.bisect(probabilities, Math.random()) return { id: currentPersonId, sex, ses, education, startTime: elapsed + getRandomNumberInRange(-0.1, 0.1), yJitter: getRandomNumberInRange(-15, 15) } } // dimensions let dimensions = { width: d3.min([width, 1200]), height: 500, margin: { top: 10, right: 200, bottom: 10, left: 120, }, pathHeight: 50, endsBarsWidth: 15, endingBarPadding: 3, } dimensions.boundedWidth = dimensions.width - dimensions.margin.left - dimensions.margin.right dimensions.boundedHeight = dimensions.height - dimensions.margin.top - dimensions.margin.bottom // canvas const wrapper = d3.select("#wrapper") .append("svg") .attr("width", dimensions.width) .attr("height", dimensions.height) const bounds = wrapper.append("g") .style("transform", `translate(${dimensions.margin.left}px, ${dimensions.margin.top}px)`) // scales const xScale = d3.scaleLinear() .domain([0, 1]) .range([0, dimensions.boundedWidth]) .clamp(true) const startYScale = d3.scaleLinear() .domain([sesIds.length, -1]) .range([0, dimensions.boundedHeight]) const endYScale = d3.scaleLinear() .domain([educationIds.length, -1]) .range([0, dimensions.boundedHeight]) const linkLineGenerator = d3.line() .x((d, i) => i * (dimensions.boundedWidth / 5)) .y((d, i) => i <= 2 ? startYScale(d[0]) : endYScale(d[1]) ) .curve(d3.curveMonotoneX) const yTransitionProgressScale = d3.scaleLinear() .domain([0.45, 0.55]) .range([0, 1]) .clamp(true) const colorScale = d3.scaleLinear() .domain(d3.extent(sesIds)) .range(["#12CBC4", "#B53471"]) .interpolate(d3.interpolateHcl) // draw data const linkOptions = d3.merge( sesIds.map(startId => ( educationIds.map(endId => ( new Array(6).fill([startId, endId]) )) )) ) const linksGroup = bounds.append("g") const links = linksGroup.selectAll(".category-path") .data(linkOptions) .enter().append("path") .attr("class", "category-path") .attr("d", linkLineGenerator) .attr("stroke-width", dimensions.pathHeight) // draw peripherals const trianglePoints = [ "-7, 6", " 0, -6", " 7, 6", ].join(" ") const startingLabelsGroup = bounds.append("g") .style("transform", "translateX(-20px)") const startingLabels = startingLabelsGroup.selectAll(".start-label") .data(sesIds) .enter().append("text") .attr("class", "label start-label") .attr("y", (d, i) => startYScale(i)) .text((d, i) => sentenceCase(sesNames[i])) const startLabel = startingLabelsGroup.append("text") .attr("class", "start-title") .attr("y", startYScale(sesIds[sesIds.length - 1]) - 65) .text("Socioeconomic") const startLabelLineTwo = startingLabelsGroup.append("text") .attr("class", "start-title") .attr("y", startYScale(sesIds[sesIds.length - 1]) - 50) .text("Status") const startingBars = startingLabelsGroup.selectAll(".start-bar") .data(sesIds) .enter().append("rect") .attr("x", 20) .attr("y", d => startYScale(d) - (dimensions.pathHeight / 2)) .attr("width", dimensions.endsBarsWidth) .attr("height", dimensions.pathHeight) .attr("fill", colorScale) const endingLabelsGroup = bounds.append("g") .style("transform", `translateX(${dimensions.boundedWidth + 20}px)`) const endingLabels = endingLabelsGroup.selectAll(".end-label") .data(educationNames) .enter().append("text") .attr("class", "label end-label") .attr("y", (d, i) => endYScale(i) - 15) .text(d => d) const legendGroup = bounds.append("g") .attr("class", "legend") .attr("transform", `translate(${dimensions.boundedWidth}, 5)`) const femaleLegend = legendGroup.append("g") .attr("transform", `translate(${-dimensions.endsBarsWidth * 1.5 + dimensions.endingBarPadding + 1}, 0)`) femaleLegend.append("polygon") .attr("points", trianglePoints) .attr("transform", "translate(-7, 0)") femaleLegend.append("text") .attr("class", "legend-text-left") .text("Female") .attr("x", -20) .attr("y", 4) femaleLegend.append("line") .attr("class", "legend-line") .attr("x1", -dimensions.endsBarsWidth / 2 + 19) .attr("x2", -dimensions.endsBarsWidth / 2 + 19) .attr("y1", 12) .attr("y2", 37) const maleLegend = legendGroup.append("g") .attr("transform", `translate(${-dimensions.endsBarsWidth / 2 - 4}, 0)`) maleLegend.append("circle") .attr("r", 5.5) .attr("transform", "translate(5, 0)") maleLegend.append("text") .attr("class", "legend-text-right") .text("Male") .attr("x", 15) .attr("y", 4) maleLegend.append("line") .attr("class", "legend-line") .attr("x1", -dimensions.endsBarsWidth / 2 - 6) .attr("x2", -dimensions.endsBarsWidth / 2 - 6) .attr("y1", 12) .attr("y2", 37) // draw data const maleMarkers = endingLabelsGroup.selectAll(".male-marker") .data(educationIds) .enter().append("circle") .attr("class", "ending-marker male-marker") .attr("r", 5.5) .attr("cx", 5) .attr("cy", d => endYScale(d) + 5) const femaleMarkers = endingLabelsGroup.selectAll(".female-marker") .data(educationIds) .enter().append("polygon") .attr("class", "ending-marker female-marker") .attr("points", trianglePoints) .attr("transform", d => `translate(5, ${endYScale(d) + 20})`) const maxPeople = 10000 let people = [] const markersGroup = bounds.append("g") .attr("class", "markers-group") const endingBarGroup = bounds.append("g") .attr("transform", `translate(${dimensions.boundedWidth}, 0)`) function updateMarkers(elapsed) { const xProgressAccessor = d => (elapsed - d.startTime) / 5000 if (people.length < maxPeople) { people = [ ...people, ...d3.range(2).map(() => generatePerson(elapsed)), ] } const females = markersGroup.selectAll(".marker-circle") .data(people.filter(d => ( xProgressAccessor(d) < 1 && sexAccessor(d) == 0 )), d => d.id) females.enter().append("circle") .attr("class", "marker marker-circle") .attr("r", 5.5) .style("opacity", 0) females.exit().remove() const males = markersGroup.selectAll(".marker-triangle") .data(people.filter(d => ( xProgressAccessor(d) < 1 && sexAccessor(d) == 1 )), d => d.id) males.enter().append("polygon") .attr("class", "marker marker-triangle") .attr("points", trianglePoints) .style("opacity", 0) males.exit().remove() const markers = d3.selectAll(".marker") markers.style("transform", d => { const x = xScale(xProgressAccessor(d)) const yStart = startYScale(sesAccessor(d)) const yEnd = endYScale(educationAccessor(d)) const yChange = yEnd - yStart const yProgress = yTransitionProgressScale(xProgressAccessor(d)) const y = yStart + (yChange * yProgress) + d.yJitter return `translate(${x}px, ${y}px)` }) .attr("fill", d => colorScale(sesAccessor(d))) .transition().duration(100) .style("opacity", d => xScale(xProgressAccessor(d)) < 10 ? 0 : 1) const endingGroups = educationIds.map((endId, i) => ( people.filter(d => ( xProgressAccessor(d) >= 1 && educationAccessor(d) == endId )) )) const endingPercentages = d3.merge( endingGroups.map((peopleWithSameEnding, endingId) => ( d3.merge( sexIds.map(sexId => ( sesIds.map(sesId => { const peopleInBar = peopleWithSameEnding.filter(d => ( sexAccessor(d) == sexId )) const countInBar = peopleInBar.length const peopleInBarWithSameStart = peopleInBar.filter(d => ( sesAccessor(d) == sesId )) const count = peopleInBarWithSameStart.length const numberOfPeopleAbove = peopleInBar.filter(d => ( sesAccessor(d) > sesId )).length return { endingId, sesId, sexId, count, countInBar, percentAbove: numberOfPeopleAbove / (peopleInBar.length || 1), percent: count / (countInBar || 1), } }) )) ) )) ) endingBarGroup.selectAll(".ending-bar") .data(endingPercentages) .join("rect") .attr("class", "ending-bar") .attr("x", d => -dimensions.endsBarsWidth * (d.sexId + 1) - (d.sexId * dimensions.endingBarPadding)) .attr("width", dimensions.endsBarsWidth) .attr("y", d => endYScale(d.endingId) - dimensions.pathHeight / 2 + dimensions.pathHeight * d.percentAbove) .attr("height", d => d.countInBar ? dimensions.pathHeight * d.percent : dimensions.pathHeight) .attr("fill", d => d.countInBar ? colorScale(d.sesId) : "#DADADD") endingLabelsGroup.selectAll(".ending-value") .data(endingPercentages) .join("text") .attr("class", "ending-value") .attr("x", d => (d.sesId) * 33 + 47) .attr("y", d => endYScale(d.endingId) - dimensions.pathHeight / 2 + 14 * d.sexId + 35) .attr("fill", d => d.countInBar ? colorScale(d.sesId) : "#DADADD") .text(d => d.count) } d3.timer(updateMarkers) }46:T656,html` `47:[] 43:{"id":"2a6380cc2df0b9c5","slug":null,"title":"Animated Sankey","thumbnail":"9d24a5a5030cee6bf55d8280f5b8ae66d3025c26432d6981f968ecbe3e2845b4","access_level":"public","create_time":"$D2023-04-22T00:40:59.261Z","update_time":"$D2023-04-22T00:41:16.601Z","view_time":null,"first_public_time":"$D2023-04-22T00:40:59.261Z","has_unpublished_edits":null,"fork":{"id":"da0d18686d1f0d86","slug":"animated-sankey","title":"Animated Sankey","owner":{"id":"9b939657e9657184","login":"chekos","name":"chekos"}},"stars":0,"starred":false,"owner":{"type":"team","id":"498b5eebd648902d","login":"ian-mulholland","name":"Ian Mulholland","avatar_url":"https://avatars-next.observableusercontent.com/b17de045636f24ac3bb85f3250009468422824a9819cb36269fb0a47559dc0c5","tier":"starter_2024","bio":"","following":false},"version":157,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"d151400cf935c88d","login":"ian-mulholland","name":"Ian Mulholland","avatar_url":"https://avatars-next.observableusercontent.com/b17de045636f24ac3bb85f3250009468422824a9819cb36269fb0a47559dc0c5","tier":null,"bio":"","following":false}],"members":[{"type":"individual","id":"d151400cf935c88d","login":"ian-mulholland","name":"Ian Mulholland","avatar_url":"https://avatars-next.observableusercontent.com/b17de045636f24ac3bb85f3250009468422824a9819cb36269fb0a47559dc0c5","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Animated Sankey","cells":[{"id":0,"value":"md`# Animated Sankey\n\nfrom [Fullstack Dataviz with D3 by Amelia Wattenberger](https://www.fullstack.io/fullstack-d3)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"d3 = require(\"d3@5\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"{\n yield html`

\n What do people achieve within 12 years of starting high school?\n

Simulated data based on a National Center for Education Statistics study of where high school sophomores are ten years later\n

Data from the U.S. Department of Education, National Center for Education Statistics, Education Longitudinal Study of 2002

`;\n drawChart();\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"$45","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":15,"value":"$46","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":19,"value":"md`Helper functions`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":22,"value":"getRandomNumberInRange = (min, max) => Math.random() * (max - min) + min","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":24,"value":"getRandomValue = arr => arr[Math.floor(getRandomNumberInRange(0, arr.length))]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":26,"value":"sentenceCase = str => [\n str.slice(0, 1).toUpperCase(),\n str.slice(1),\n].join(\"\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":31,"value":"getStatusKey = ({sex, ses}) => [sex, ses].join(\"--\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W47","stdlib":"1"}} 44:"$43:body"