chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append(legend)
.attr("transform", "translate(820,100)");
svg.append("g")
.selectAll("path")
.data(topojson.feature(polygons, polygons.objects.iacounties_variables).features)
.join("path")
.attr("fill", d => color(data.get(d.properties[idAttribute])))
.attr("stroke", "black")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 0.5)
.attr("d", path)
.append("title")
.text(d => `${d.properties[idAttribute]}, ${format(data.get(d.properties[idAttribute]))}`)
return svg.node();
}
x = d3.scaleQuantile(Array.from(data.values(), d => d[0]), d3.range(n))
y = d3.scaleQuantile(Array.from(data.values(), d => d[1]), d3.range(n))
polygon_features = topojson.feature(polygons, polygons.objects.iacounties_variables)
data = Object.assign(new Map(d3.csvParse(await FileAttachment("iacounties.csv").text(), ({NAMELSAD, Crude_Ra_1, afos, HOGS_PRO_1, totalpop}) => [NAMELSAD, [Crude_Ra_1, HOGS_PRO_1/totalpop]])), {title: ["Crude Death Rate", "Hogs/Humans"]})
idAttribute = "NAMELSAD"
polygons = FileAttachment("iacounties_variables.json").json()
legend = () => {
const k = 24;
const arrow = DOM.uid();
return svg`<g font-family=sans-serif font-size=10>
<g transform="translate(-${k * n / 2},-${k * n / 2}) rotate(-45 ${k * n / 2},${k * n / 2})">
<marker id="${arrow.id}" markerHeight=10 markerWidth=10 refX=6 refY=3 orient=auto>
<path d="M0,0L9,3L0,6Z" />
</marker>
${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg`<rect width=${k} height=${k} x=${i * k} y=${(n - 1 - j) * k} fill=${colors[j * n + i]}>
<title>${data.title[0]}${labels[j] && ` (${labels[j]})`}
${data.title[1]}${labels[i] && ` (${labels[i]})`}</title>
</rect>`)}
<line marker-end="${arrow}" x1=0 x2=${n * k} y1=${n * k} y2=${n * k} stroke=black stroke-width=1.5 />
<line marker-end="${arrow}" y2=0 y1=${n * k} stroke=black stroke-width=1.5 />
<text font-weight="bold" dy="0.71em" transform="rotate(90) translate(${n / 2 * k-6},6)" text-anchor="middle">${data.title[0]}</text>
<text font-weight="bold" dy="0.71em" transform="translate(${n / 2 * k-6},${n * k + 6})" text-anchor="middle">${data.title[1]}</text>
</g>
</g>`;
}
color = {
return value => {
if (!value) return "#ccc";
let [a, b] = value;
return colors[y(b) + x(a) * n];
};
}
format = (value) => {
if (!value) return "N/A";
let [a, b] = value;
return `${formatNum(a)} ${data.title[0]}${labels[x(a)] && ` (${labels[x(a)]})`}
${formatNum(b)} ${data.title[1]}${labels[y(b)] && ` (${labels[y(b)]})`}`;
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
