chart = {
const treemap = d3.treemap()
.tile(d3.treemapResquarify)
.size([width, height])
.padding(d => d.height === 1 ? 1 : 0)
.round(true);
// Compute the structure using the average value.
const root = treemap(d3.hierarchy(data.group)
.sum(d => Array.isArray(d.values) ? d3.sum(d.values) : 0)
.sort((a, b) => b.value - a.value));
const svg = d3.create("svg")
.attr("viewBox", `0 -20 ${width} ${height + 20}`)
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.style("overflow", "visible");
const box = svg.append("g")
.selectAll("g")
.data(data.keys.map((key, i) => {
const value = root.sum(d => d.values[i]).value;
return {key, value, i, k: Math.sqrt(value / max)};
}).reverse())
.join("g")
.attr("transform", ({k}) => `translate(${(1 - k) / 2 * width},${(1 - k) / 2 * height})`)
.attr("opacity", ({i}) => i >= viewof index.value ? 1 : 0)
.call(g => g.append("text")
.attr("y", -6)
.attr("fill", "#777")
.selectAll("tspan")
.data(({key, value}) => [key, ` ${formatNumber(value)}`])
.join("tspan")
.attr("font-weight", (d, i) => i === 0 ? "bold" : null)
.text(d => d))
.call(g => g.append("rect")
.attr("fill", "none")
.attr("stroke", "#ccc")
.attr("width", ({k}) => k * width)
.attr("height", ({k}) => k * height));
const leaf = svg.append("g")
.selectAll("g")
.data(layout(viewof index.value))
.join("g")
.attr("transform", d => `translate(${d.x0},${d.y0})`);
leaf.append("rect")
.attr("id", d => (d.leafUid = DOM.uid("leaf")).id)
.attr("fill", d => { while (d.depth > 1) d = d.parent; return color(d.data[0]); })
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0);
leaf.append("clipPath")
.attr("id", d => (d.clipUid = DOM.uid("clip")).id)
.append("use")
.attr("xlink:href", d => d.leafUid.href);
leaf.append("text")
.attr("clip-path", d => d.clipUid)
.selectAll("tspan")
.data(d => [d.data.name, formatNumber(d.value)])
.join("tspan")
.attr("x", 3)
.attr("y", (d, i, nodes) => `${(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);
leaf.append("title")
.text(d => d.data.name);
function layout(index) {
const k = Math.sqrt(root.sum(d => d.values[index]).value / max);
const x = (1 - k) / 2 * width;
const y = (1 - k) / 2 * height;
return treemap.size([width * k, height * k])(root)
.each(d => (d.x0 += x, d.x1 += x, d.y0 += y, d.y1 += y))
.leaves();
}
return Object.assign(svg.node(), {
update(index) {
box.transition()
.duration(duration)
.attr("opacity", ({i}) => i >= index ? 1 : 0);
leaf.data(layout(index)).transition()
.duration(duration)
.ease(d3.easeLinear)
.attr("transform", d => `translate(${d.x0},${d.y0})`)
.call(leaf => leaf.select("rect")
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0))
.call(leaf => leaf.select("text tspan:last-child")
.tween("text", function(d) {
const i = d3.interpolate(parseNumber(this.textContent), d.value);
return function(t) { this.textContent = formatNumber(i(t)); };
}));
}
});
}
update = chart.update(index)
duration = 2500
parseNumber = string => +string.replace(/,/g, "")
formatNumber = d3.format(",d")
sums = data.keys.map((d, i) => d3.hierarchy(data.group).sum(d => d.values[i]).value)
max = d3.max(sums)
color = d3.scaleOrdinal(data.group.keys(), d3.schemeCategory10.map(d => d3.interpolateRgb(d, "white")(0.5)))
data = {
const keys = d3.range(1790, 2000, 10);
const [regions, states] = await Promise.all([
FileAttachment("census-regions.csv").text(),
FileAttachment("population.tsv").text()
]).then(([regions, states]) => [
d3.csvParse(regions),
d3.tsvParse(states, (d, i) => i === 0 ? null : ({name: d[""], values: keys.map(key => +d[key].replace(/,/g, ""))}))
]);
const regionByState = new Map(regions.map(d => [d.State, d.Region]));
const divisionByState = new Map(regions.map(d => [d.State, d.Division]));
return {keys, group: d3.group(states, d => regionByState.get(d.name), d => divisionByState.get(d.name))};
}
tables = null
regions = d3.csvParse(await FileAttachment("census-regions.csv").text())
{
const keys = d3.range(1790, 2000, 10);
return d3.tsvParse(population, (d, i) => i === 0 ? null : ({name: d[""], values: keys.map(key => +d[key].replace(/,/g, ""))}))
}
population = await FileAttachment("population.tsv").text()
width = 954
height = width
d3 = require("d3@6")
import {Scrubber} from "@mbostock/scrubber"
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.