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=4 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 - 5}, 6)" text-anchor="middle">${data.title[0]}</text>
<text font-weight="bold" dy="0.71em" transform="translate(${n / 2 * k + 4},${n * k + 6})" text-anchor="middle">${data.title[1]}</text>
</g>
<g transform="translate(${k * n - 100}, ${k * (n + 1)})">
<rect width=${k} height=${k} fill="#999999"></rect>
<text x=${k + 7} y=${k / 1.5} alignment-baseline="middle">No Data</text>
</g>
</g>`;
}
color = (value) => {
if (!value || isNaN(value[0]) || isNaN(value[1])) return "#999999"; // Explicit NaN handling
let [a, b] = value;
let xVal = x(a); // e.g. race
let yVal = y(b); // e.g. income
console.log("Income raw:", b, "Bin:", y(b));
console.log("Race raw:", a, "Bin:", x(a));
if ([xVal, yVal].some(v => isNaN(v) || v < 0 || v > 2)) return "#999999";
return colors[x(a) * n + y(b)];
}
// color = {
// return value => {
// if (!value || isNaN(value[0]) || isNaN(value[1])) return "#ccc"; // Gray for missing values
// let [a, b] = value;
// return colors[y(b) * n + x(a)];
// }
// }
// return value => {
// if (!value) return "#ccc";
// let [a, b] = value;
// return colors[y(b) + x(a) * n];
// };
// }
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.
