chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
// svg.append("g")
// .call(xAxis);
svg.append("g")
.call(yAxis);
var myColor = d3.scaleDiverging(t => d3.interpolateRdBu(1 - t)).domain([extent[0], 0, extent[1]])
.interpolator(d3.interpolateRdBu);
svg.append("g")
.attr("stroke-width", 3)
.attr("pointer-events", "all")
.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", d => x(d.value))
.attr("y", d => y(d.row))
.attr("width", 5.0)
.attr("height", y.bandwidth())
.attr("fill", function(d){return myColor(d.color)});
return svg.node();
}
extent = d3.extent(data, d => d.color)
data = {
const data = d3.csvParse(await FileAttachment("us-population-state-age.csv").text(), d3.autoType);
const ages = data.columns.slice(1);
var i = 0
for (const d of data) {
d.total = i;
i = i + 0.01
}
return ages.flatMap(age => data.map(d => ({row: age, value: d.total, color: d.total - 0.3})));
}
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.value))
.range([margin.left+10, width - margin.right])
y = d3.scaleBand()
.domain(data.map(d => d.row))
.rangeRound([margin.top, height - margin.bottom])
.padding(0.1)
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(null, "%"))
.call(g => g.selectAll(".tick line").clone().attr("stroke-opacity", 0.1).attr("y2", height - margin.bottom - margin.top))
.call(g => g.selectAll(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.selectAll(".tick line").clone().attr("stroke-opacity", 0.1).attr("x2", width - margin.right - margin.left))
.call(g => g.selectAll(".domain").remove())
height = 280
margin = ({top: 20, right: 10, bottom: 10, left: 40})
d3 = require("d3@5")
import {legend} from "@d3/color-legend"
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