Public
Edited
Sep 23
139 forks
Importers
112 stars
Revenue by music format, 1973–2018New Zealand tourists, 1921–2018Sea ice extent, 1978–2017U.S. population by State, 1790–1990Hertzsprung–Russell diagramSpilhaus shoreline mapWalmart’s growthInequality in American citiesU.S. state choroplethWorld choroplethScatterplot matrixLine chart, multiple seriesLine chart with tooltipTreemapBar chart transitionsBand chartCancer survival ratesSlope chartDifference chartDiverging bar chartDiverging stacked bar chartScatterplotSpike mapBubble mapBox plotPSR B1919+21Normalized stacked area chartDirected chord diagramChord dependency diagramVolcano contoursRadial area chartRadial stacked bar chart, sortedRadial stacked bar chartHorizon chartSunburstStreamgraphTidy treeCluster treeRadial cluster treeBeeswarmIciclePie chartCircle packingRadial tidy treeHorizontal bar chartBubble chartStacked area chartLine chart, percent changeSankey diagramIndex chartDisjoint force-directed graphForce-directed graphHistogramBollinger bandsCandlestick chartConnected scatterplotDot plotGrouped bar chartStacked bar chart, normalizedStacked bar chart, horizontalStacked bar chartDonut chartLine chart, missing dataArea chart with missing dataArea chartChoroplethCalendarLine chartColor SchemesWord cloudd3.packEncloseNon-contiguous cartogramStar mapSolar pathSolar TerminatorWorld airports VoronoiU.S. airports VoronoiGeoTIFF contours IIVector fieldRaster & vectorClipped map tilesVector tilesRaster tilesWeb Mercator tilesTissot’s indicatrixProjection comparisonWorld map (canvas)Bivariate choroplethColor legendStyled axesGraticule labels (stereographic)Voronoi labelsPie chart componentBubble chart componentScatterplot with shapesRealtime horizon chartRidgeline plotParallel coordinatesThreshold encodingGradient encodingVariable-color lineMarey’s TrainsMarimekkoChord diagramHierarchical edge bundling IIHierarchical edge bundlingArc diagramMobile patent suitsForce-directed treeTree of LifeIndented treeCircle packing componentNested treemapCascaded treemapParallel setsNormal quantile plotQ–Q PlotHexbin mapHexbin (area)HexbinContoursDensity contoursKernel density estimationMoving averageSeamless zoomable map tilesZoomable bar chartZoomable area chartPannable chartBrushable scatterplot matrixBrushable scatterplotVersor draggingZoomable sunburstZoomable icicleCollapsible treeZoomable circle packing
Zoomable treemap
Hierarchical bar chartWorld tourOrthographic to equirectangularZoom to bounding boxSmooth zoomingStreamgraph transitionsStacked-to-grouped barsBar Chart RaceScatterplot tourTemporal force-directed graphAnimated treemap
Also listed in…
d3-hierarchy
Insert cell
Insert cell
chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 924;

// This custom tiling function adapts the built-in binary tiling function
// for the appropriate aspect ratio when the treemap is zoomed-in.
function tile(node, x0, y0, x1, y1) {
d3.treemapBinary(node, 0, 0, width, height);
for (const child of node.children) {
child.x0 = x0 + child.x0 / width * (x1 - x0);
child.x1 = x0 + child.x1 / width * (x1 - x0);
child.y0 = y0 + child.y0 / height * (y1 - y0);
child.y1 = y0 + child.y1 / height * (y1 - y0);
}
}

// Compute the layout.
const hierarchy = d3.hierarchy(data)
.sum(d => d.value)
.sort((a, b) => b.value - a.value);
const root = d3.treemap().tile(tile)(hierarchy);

// Create the scales.
const x = d3.scaleLinear().rangeRound([0, width]);
const y = d3.scaleLinear().rangeRound([0, height]);

// Formatting utilities.
const format = d3.format(",d");
const name = d => d.ancestors().reverse().map(d => d.data.name).join("/");

// Create the SVG container.
const svg = d3.create("svg")
.attr("viewBox", [0.5, -30.5, width, height + 30])
.attr("width", width)
.attr("height", height + 30)
.attr("style", "max-width: 100%; height: auto;")
.style("font", "10px sans-serif");

// Display the root.
let group = svg.append("g")
.call(render, root);

function render(group, root) {
const node = group
.selectAll("g")
.data(root.children.concat(root))
.join("g");

node.filter(d => d === root ? d.parent : d.children)
.attr("cursor", "pointer")
.on("click", (event, d) => d === root ? zoomout(root) : zoomin(d));

node.append("title")
.text(d => `${name(d)}\n${format(d.value)}`);

node.append("rect")
.attr("id", d => (d.leafUid = DOM.uid("leaf")).id)
.attr("fill", d => d === root ? "#fff" : d.children ? "#ccc" : "#ddd")
.attr("stroke", "#fff");

node.append("clipPath")
.attr("id", d => (d.clipUid = DOM.uid("clip")).id)
.append("use")
.attr("xlink:href", d => d.leafUid.href);

node.append("text")
.attr("clip-path", d => d.clipUid)
.attr("font-weight", d => d === root ? "bold" : null)
.selectAll("tspan")
.data(d => (d === root ? name(d) : d.data.name).split(/(?=[A-Z][^A-Z])/g).concat(format(d.value)))
.join("tspan")
.attr("x", 3)
.attr("y", (d, i, nodes) => `${(i === nodes.length - 1) * 0.3 + 1.1 + i * 0.9}em`)
.attr("fill-opacity", (d, i, nodes) => i === nodes.length - 1 ? 0.7 : null)
.attr("font-weight", (d, i, nodes) => i === nodes.length - 1 ? "normal" : null)
.text(d => d);

group.call(position, root);
}

function position(group, root) {
group.selectAll("g")
.attr("transform", d => d === root ? `translate(0,-30)` : `translate(${x(d.x0)},${y(d.y0)})`)
.select("rect")
.attr("width", d => d === root ? width : x(d.x1) - x(d.x0))
.attr("height", d => d === root ? 30 : y(d.y1) - y(d.y0));
}

// When zooming in, draw the new nodes on top, and fade them in.
function zoomin(d) {
const group0 = group.attr("pointer-events", "none");
const group1 = group = svg.append("g").call(render, d);

x.domain([d.x0, d.x1]);
y.domain([d.y0, d.y1]);

svg.transition()
.duration(750)
.call(t => group0.transition(t).remove()
.call(position, d.parent))
.call(t => group1.transition(t)
.attrTween("opacity", () => d3.interpolate(0, 1))
.call(position, d));
}

// When zooming out, draw the old nodes on top, and fade them out.
function zoomout(d) {
const group0 = group.attr("pointer-events", "none");
const group1 = group = svg.insert("g", "*").call(render, d.parent);

x.domain([d.parent.x0, d.parent.x1]);
y.domain([d.parent.y0, d.parent.y1]);

svg.transition()
.duration(750)
.call(t => group0.transition(t).remove()
.attrTween("opacity", () => d3.interpolate(1, 0))
.call(position, d))
.call(t => group1.transition(t)
.call(position, d.parent));
}

return svg.node();
}
Insert cell
data = FileAttachment("flare-2.json").json()
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more