links = d3.csvParse(await FileAttachment("familytree.csv").text())
types = Array.from(new Set(links.map(d => d.type)))
data = ({nodes: Array.from(new Set(links.flatMap(l => [l.source, l.target])), id => ({id})), links})
height = 1000
color = d3.scaleOrdinal(types, d3.schemeCategory10)
function linkArc(d) {
const r = Math.hypot(d.target.x - d.source.x, d.target.y - d.source.y);
return `
M${d.source.x},${d.source.y}
A${r},${r} 0 0,1 ${d.target.x},${d.target.y}
`;
}
drag = simulation => {
function dragstarted(event, d) {
if (!event.active) simulation.alphaTarget(0.3).restart();
d.fx = d.x;
d.fy = d.y;
}
function dragged(event, d) {
d.fx = event.x;
d.fy = event.y;
}
function dragended(event, d) {
if (!event.active) simulation.alphaTarget(0);
d.fx = null;
d.fy = null;
}
return d3.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended);
}
d3 = require("d3@6")
import {swatches} from "@d3/color-legend"
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.
