chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 600;
const marginTop = 10;
const marginRight = 10;
const marginBottom = 200;
const marginLeft = 150;
// Prepare the scales for positional and color encodings.
// Fx encodes the state.
const fx = d3.scaleBand()
.domain(new Set(data.map(d => d.state)))
.rangeRound([marginLeft, width - marginRight])
.paddingInner(0.1);
// Both x and color encode the age class.
const ages = new Set(data.map(d => d.age));
const x = d3.scaleBand()
.domain(ages)
.rangeRound([0, fx.bandwidth()])
.padding(0.05);
///////////////////////////////////////////////////////////
//const color = d3.scaleOrdinal()
//.domain(ages)
//.range(d3.schemeSpectral[ages.size])
//.unknown("#ccc");
const color = d3.scaleOrdinal()
.domain(ages)
//.range(d3.schemeSpectral[ages.size])
//.range(d3.quantize(d3.interpolateSpectral, 200))
.range(d3.schemeTableau10)
//.range(["#aac"]);
.unknown("#ccc"); ///////////////////////////////////////////////
// Y encodes the height of the bar.
const y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.population)]).nice()
.rangeRound([height - marginBottom, marginTop]);
// 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 state, and a rect for each age.
svg.append("g")
.selectAll()
.data(d3.group(data, d => d.state))
.join("g")
.attr("transform", ([state]) => `translate(${fx(state)},0)`)
.selectAll()
.data(([, d]) => d)
.join("rect")
.attr("x", d => x(d.age))
.attr("y", d => y(d.population))
.attr("width", x.bandwidth())
.attr("height", d => y(0) - y(d.population))
.attr("fill", d => color(d.age));
// Append the horizontal axis.
const xAxis = svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(fx).tickSizeOuter(0))
.call(g => g.selectAll(".domain").remove());
xAxis.selectAll("text")
.style("text-anchor", "end")
.attr("transform", "rotate(-45)")
.attr("dx", "-.8em")
.attr("dy", ".15em");
// 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}});
//return Object.assign("hola", {scales: {color}});
}
data = {
let data = await FileAttachment("datoshsrp2.txt").csv({typed: true});
const routers = data.columns.slice(1);
data = d3.sort(data, d => -d3.sum(routers, router => d[router])).slice(0, 80);
return routers.flatMap((age) => data.map((d) => ({state: d.Nexus, age, population: d[age]})));
}
//import {legend} from "@d3/color-legend"
import {legend} from "e3e562d107e4b1fa"
Select a data source…
Type Table, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
x: {axis: null},
y: {tickFormat: "s"},
fx: {label: null},
color: {scheme: "spectral"},
marks: [
Plot.barY(data, {fx: "state", x:"age", y: "population", fill: "age", sort: {color: null, x: null, fx: {value: "-y", reduce: "sum"}}}),
Plot.ruleY([0])
]
})
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