Public
Edited
Feb 28, 2024
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chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 500;
const marginTop = 10;
const marginRight = 10;
const marginBottom = 20;
const marginLeft = 40;

// 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
(d3.index(data, d => d.state, d => d.age)); // group by stack then series key

// Prepare the scales for positional and color encodings.
const x = d3.scaleBand()
.domain(d3.groupSort(data, D => -d3.sum(D, d => d.population), d => d.state))
.range([marginLeft, width - marginRight])
.padding(0.1);

const y = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))])
.rangeRound([height - marginBottom, marginTop]);

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.data[0]))
.attr("y", d => y(d[1]))
.attr("height", d => y(d[0]) - y(d[1]))
.attr("width", x.bandwidth())
.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,${height - marginBottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
.call(g => g.selectAll(".domain").remove());

// Append the vertical axis.
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y).ticks(null, "s"))
.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({
width: 928,
y: {transform: (d) => d / 1e6},
color: {scheme: "spectral"},
marks: [Plot.barY(data, {x: "state", y: "population", fill: "age", sort: {color: null, x: "-y"}})]
})
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