chart = {
// Specify the chart’s dimensions.
const width = 1154;
const height = 1154;
// Specify the color scale.
const color = d3.scaleOrdinal(data.children.map(d => d.name), d3.schemeTableau10);
// Compute the layout.
const root = d3.treemap()
.tile(tile) // e.g., d3.treemapSquarify
.size([width, height])
.padding(1)
.round(true)
(d3.hierarchy(data)
.sum(d => d.value)
.sort((a, b) => b.value - a.value));
// Create the SVG container.
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("width", width)
.attr("height", height)
.attr("style", "max-width: 100%; height: auto; font: 10px sans-serif;");
// Add a cell for each leaf of the hierarchy.
const leaf = svg.selectAll("g")
.data(root.leaves())
.join("g")
.attr("transform", d => `translate(${d.x0},${d.y0})`);
// Append a tooltip.
const format = d3.format(",d");
leaf.append("title")
.text(d => `${d.ancestors().reverse().map(d => d.data.name).join(".")}\n${format(d.value)}`);
// Append a color rectangle.
leaf.append("rect")
.attr("id", d => (d.leafUid = DOM.uid("leaf")).id)
.attr("fill", d => { while (d.depth > 1) d = d.parent; return color(d.data.name); })
.attr("fill-opacity", 0.6)
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0);
// Append a clipPath to ensure text does not overflow.
leaf.append("clipPath")
.attr("id", d => (d.clipUid = DOM.uid("clip")).id)
.append("use")
.attr("xlink:href", d => d.leafUid.href);
// Append multiline text. The last line shows the value and has a specific formatting.
leaf.append("text")
.attr("clip-path", d => d.clipUid)
.selectAll("tspan")
.data(d => d.data.name.split(/(?=[A-Z][a-z])|\s+/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)
.text(d => d);
return Object.assign(svg.node(), {scales: {color}});
}
data = FileAttachment("flare.json").json()
import {Swatches} from "@d3/color-legend"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
