chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, innerHeight + margin.top + margin.bottom])
.attr("font-family", "sans-serif")
.attr("font-size", 5);
svg.append("g")
.call(xAxis);
// svg.append("g")
// .call(yAxis);
svg.append("g")
.selectAll("g")
.data(data.values)
.join("g")
.attr("transform", (d, i) => `translate(0,${y(data.names[i])})`)
.selectAll("rect")
.data(d => d)
.join("rect")
.attr("x", (d, i) => x(data.years[i]) + 1)
.attr("width", (d, i) => x(data.years[i] + 1) - x(data.years[i]) - 1)
.attr("height", y.bandwidth() - 1)
.attr("fill", d => isNaN(d) ? "#eee" : d === 0 ? "#fff" : color(d))
.append("title")
.text((d, i) => `${format(d)} per 100,000 people in ${data.years[i]}`);
return svg.node();
}
data = {
const names = ["Alaska", "Ala.", "Ark.", "Ariz.", "Calif.", "Colo.", "Conn.", "D.C.", "Del.", "Fla.", "Ga.", "Hawaii", "Iowa", "Idaho", "Ill.", "Ind.", "Kan.", "Ky.", "La.", "Mass.", "Md.", "Maine", "Mich.", "Minn.", "Mo.", "Miss.", "Mont.", "N.C.", "N.D.", "Neb.", "N.H.", "N.J.", "N.M", "Nev.", "N.Y.", "Ohio", "Okla.", "Ore.", "Pa.", "R.I.", "S.C.", "S.D.", "Tenn.", "Texas", "Utah", "Va.", "Vt.", "Wash.", "Wis.", "W.Va.", "Wyo."];
const data = await FileAttachment("vaccines.json").json();
const values = [];
const year0 = d3.min(data[0].data.values.data, d => d[0]);
const year1 = d3.max(data[0].data.values.data, d => d[0]);
const years = d3.range(year0, year1 + 1);
for (const [year, i, value] of data[0].data.values.data) {
if (value == null) continue;
(values[i] || (values[i] = []))[year - year0] = value;
}
return {
values,
names,
years,
year: data[0].data.chart_options.vaccine_year
};
}
x = d3.scaleLinear()
.domain([d3.min(data.years), d3.max(data.years) + 1])
.rangeRound([margin.left, width - margin.right])
y = d3.scaleBand()
.domain(data.names)
.rangeRound([margin.top, margin.top + innerHeight])
color = d3.scaleDiverging(t => d3.interpolateRdBu(1 - t)).domain([d3.min(data.values, d => d3.max(d)), 0, d3.max(data.values, d => d3.max(d))])
.interpolator(d3.interpolateRdBu);
// d3.scaleSequentialSqrt([0, d3.max(data.values, d => d3.max(d))], d3.interpolatePuRd)
xAxis = g => g
.call(g => g.append("g")
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(null, "d"))
.call(g => g.select(".domain").remove()))
.call(g => g.append("g")
.attr("transform", `translate(0,${innerHeight + margin.top + 4})`)
.call(d3.axisBottom(x)
.tickValues([data.year])
.tickFormat(x => x)
.tickSize(-innerHeight - 10))
.call(g => g.select(".tick text")
.clone()
.attr("dy", "2em")
.style("font-weight", "bold")
.text("Measles vaccine introduced"))
.call(g => g.select(".domain").remove()));
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).tickSize(0))
.call(g => g.select(".domain").remove())
format = {
const f = d3.format(",d");
return d => isNaN(d) ? "N/A cases"
: d === 0 ? "0 cases"
: d < 1 ? "<1 case"
: d < 1.5 ? "1 case"
: `${f(d)} cases`;
}
innerHeight = height * data.names.length
height = 4
margin = ({top: 20, right: 1, bottom: 40, left: 40})
d3 = require("d3@5")
import {legend} from "@d3/color-legend"
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