chart = {
const root = treemap(data);
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.style("font", "10px sans-serif");
const leaf = svg.selectAll("g")
.data(root.leaves())
.join("g")
.attr("transform", d => `translate(${d.x0},${d.y0})`);
leaf.append("title")
.text(d => `${d.ancestors().reverse().map(d => d.data.name).join("/")}\n${format(d.value)}`);
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);
leaf.append("clipPath")
.attr("id", d => (d.clipUid = DOM.uid("clip")).id)
.append("use")
.attr("xlink:href", d => d.leafUid.href);
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 svg.node();
}
data = FileAttachment("flare-2.json").json()
treemap = data => d3.treemap()
.tile(tile)
.size([width, height])
.padding(1)
.round(true)
(d3.hierarchy(data)
.sum(d => d.value)
.sort((a, b) => b.value - a.value))
function treemapStrip(parent, x0, y0, x1, y1) {
var rows = [],
nodes = parent.children,
row,
nodeValue,
i0 = 0,
i1 = 0,
n = nodes.length,
dx, dy,
value = parent.value,
sumValue,
minValue,
maxValue,
newRatio,
minRatio,
alpha,
beta,
ratio = (1 + Math.sqrt(5)) / 2;
while (i0 < n) {
dx = x1 - x0, dy = y1 - y0;
// Find the next non-empty node.
do sumValue = nodes[i1++].value; while (!sumValue && i1 < n);
minValue = maxValue = sumValue;
alpha = Math.max(dy / dx, dx / dy) / (value * ratio);
beta = sumValue * sumValue * alpha;
minRatio = Math.max(maxValue / beta, beta / minValue);
// Keep adding nodes while the aspect ratio maintains or improves.
for (; i1 < n; ++i1) {
sumValue += nodeValue = nodes[i1].value;
if (nodeValue < minValue) minValue = nodeValue;
if (nodeValue > maxValue) maxValue = nodeValue;
beta = sumValue * sumValue * alpha;
newRatio = Math.max(maxValue / beta, beta / minValue);
if (newRatio > minRatio) { sumValue -= nodeValue; break; }
minRatio = newRatio;
}
// Position and record the row orientation.
rows.push(row = {value: sumValue, dice: true, children: nodes.slice(i0, i1)});
// rows.push(row = {value: sumValue, dice: dx < dy, children: nodes.slice(i0, i1)});
if (row.dice) d3.treemapDice(row, x0, y0, x1, value ? y0 += dy * sumValue / value : y1);
else d3.treemapSlice(row, x0, y0, value ? x0 += dx * sumValue / value : x1, y1);
value -= sumValue, i0 = i1;
}
return rows;
}
width = 954
height = 954
format = d3.format(",d")
color = d3.scaleOrdinal(d3.schemeCategory10)
d3 = require("d3@6")
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.
