chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 1060;
const color = d3.scaleSequential([8, 0], d3.interpolateMagma);
// Create the treemap layout.
const treemap = data => cascade(
d3.treemap()
.size([width, height])
.paddingOuter(3)
.paddingTop(19)
.paddingInner(1)
.round(true)
(d3.hierarchy(data)
.sum(d => d.value)
.sort((a, b) => b.value - a.value)),
3 // treemap.paddingOuter
);
function cascade(root, offset) {
const x = new Map();
const y = new Map();
return root.eachAfter(d => {
if (d.children) {
x.set(d, 1 + d3.max(d.children, c => c.x1 === d.x1 - offset ? x.get(c) : NaN));
y.set(d, 1 + d3.max(d.children, c => c.y1 === d.y1 - offset ? y.get(c) : NaN));
} else {
x.set(d, 0);
y.set(d, 0);
}
}).eachBefore(d => {
d.x1 -= 2 * offset * x.get(d);
d.y1 -= 2 * offset * y.get(d);
});
}
const root = treemap(data);
// Create the SVG container.
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto; overflow: visible; font: 10px sans-serif;");
// Create the drop shadow.
const shadow = DOM.uid("shadow");
svg.append("filter")
.attr("id", shadow.id)
.append("feDropShadow")
.attr("flood-opacity", 0.3)
.attr("dx", 0)
.attr("stdDeviation", 3);
// Add nodes (with a color rect and a text label).
const node = svg.selectAll("g")
.data(d3.group(root, d => d.height))
.join("g")
.attr("filter", shadow)
.selectAll("g")
.data(d => d[1])
.join("g")
.attr("transform", d => `translate(${d.x0},${d.y0})`);
const format = d3.format(",d");
node.append("title")
.text(d => `${d.ancestors().reverse().map(d => d.data.name).join("/")}\n${format(d.value)}`);
node.append("rect")
.attr("id", d => (d.nodeUid = DOM.uid("node")).id)
.attr("fill", d => color(d.height))
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0);
node.append("clipPath")
.attr("id", d => (d.clipUid = DOM.uid("clip")).id)
.append("use")
.attr("xlink:href", d => d.nodeUid.href);
node.append("text")
.attr("clip-path", d => d.clipUid)
.selectAll("tspan")
.data(d => d.data.name.split(/(?=[A-Z][^A-Z])/g).concat(format(d.value)))
.join("tspan")
.attr("fill-opacity", (d, i, nodes) => i === nodes.length - 1 ? 0.7 : null)
.text(d => d);
node.filter(d => d.children).selectAll("tspan")
.attr("dx", 3)
.attr("y", 13);
node.filter(d => !d.children).selectAll("tspan")
.attr("x", 3)
.attr("y", (d, i, nodes) => `${(i === nodes.length - 1) * 0.3 + 1.1 + i * 0.9}em`);
return svg.node();
}
data = FileAttachment("flare-2.json").json()
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.
