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Edited
Sep 23, 2024
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chart = {
// Specify the chart’s dimensions (except for the height).
const width = 928;
const marginTop = 30;
const marginRight = 20;
const marginBottom = 0;
const marginLeft = 30;

// Determine the series that need to be stacked.
const series = d3.stack()
.keys(d3.union(data.map(d => d.age))) // distinct series keys, in input order
.value(([, D], key) => D.get(key).population) // get value for each series key and stack
.offset(d3.stackOffsetExpand)
(d3.index(data, d => d.state, d => d.age)); // group by stack then series key

// Compute the height from the number of stacks.
const height = series[0].length * 25 + marginTop + marginBottom;

// Prepare the scales for positional and color encodings.
const x = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))])
.range([marginLeft, width - marginRight]);

const y = d3.scaleBand()
.domain(d3.groupSort(data, (D) => -D.find(d => d.age === "<10").population / d3.sum(D, d => d.population), d => d.state))
.range([marginTop, height - marginBottom])
.padding(0.08);

const color = d3.scaleOrdinal()
.domain(series.map(d => d.key))
.range(d3.schemeSpectral[series.length])
.unknown("#ccc");

// A function to format the value in the tooltip.
const formatValue = x => isNaN(x) ? "N/A" : x.toLocaleString("en")

// 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;");

// Append a group for each series, and a rect for each element in the series.
svg.append("g")
.selectAll()
.data(series)
.join("g")
.attr("fill", d => color(d.key))
.selectAll("rect")
.data(D => D.map(d => (d.key = D.key, d)))
.join("rect")
.attr("x", d => x(d[0]))
.attr("y", d => y(d.data[0]))
.attr("height", y.bandwidth())
.attr("width", d => x(d[1]) - x(d[0]))
.append("title")
.text(d => `${d.data[0]} ${d.key}\n${formatValue(d.data[1].get(d.key).population)}`);

// Append the horizontal axis.
svg.append("g")
.attr("transform", `translate(0,${marginTop})`)
.call(d3.axisTop(x).ticks(width / 100, "%"))
.call(g => g.selectAll(".domain").remove());

// Append the vertical axis.
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y).tickSizeOuter(0))
.call(g => g.selectAll(".domain").remove());

// Return the chart with the color scale as a property (for the legend).
return Object.assign(svg.node(), {scales: {color}});
}
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data = {
const data = await FileAttachment("us-population-state-age.csv").csv({typed: true});
return data.columns.slice(1).flatMap((age) => data.map((d) => ({state: d.name, age, population: d[age]})));
}
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import {legend} from "@d3/color-legend"
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Plot.plot({
x: { axis: "top", percent: true },
color: { scheme: "spectral" },
marks: [
Plot.barX(data, {
offset: "normalize",
y: "state",
x: "population",
fill: "age",
sort: { color: null, y: { value: "-x", reduce: "first" } }
})
]
})
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