chart = {
const root = tree(data);
const svg = d3.create("svg")
.style("max-width", "100%")
.style("height", "auto")
.style("font", "10px sans-serif")
.style("margin", "5px");
const link = svg.append("g")
.attr("fill", "none")
.attr("stroke", "#555")
.attr("stroke-opacity", 0.4)
.attr("stroke-width", 1.5)
.selectAll("path")
.data(root.links())
.join("path")
.attr("d", d3.linkRadial()
.angle(d => d.x)
.radius(d => d.y));
const node = svg.append("g")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 3)
.selectAll("g")
.data(root.descendants().reverse())
.join("g")
.attr("transform", d => `
rotate(${d.x * 180 / Math.PI - 90})
translate(${d.y},0)
`);
node.append("circle")
.attr("fill", d => d.children ? "#555" : "#999")
.attr("r", 2.5);
node.append("text")
.attr("dy", "0.31em")
.attr("x", d => d.x < Math.PI === !d.children ? 6 : -6)
.attr("text-anchor", d => d.x < Math.PI === !d.children ? "start" : "end")
.attr("transform", d => d.x >= Math.PI ? "rotate(180)" : null)
.text(d => d.data.name)
.clone(true).lower()
.attr("stroke", "white");
yield svg.node();
svg.attr("viewBox", autoBox);
}
function autoBox() {
const {x, y, width, height} = this.getBBox();
return [x, y, width, height];
}
data = FileAttachment("data@2.json").json()
tree = data => d3.tree()
.size([2 * Math.PI, radius])
.separation((a, b) => (a.parent == b.parent ? 1 : 2) / a.depth)
(d3.hierarchy(data))
width = 2500
radius = width / 2
d3 = require("d3@5")
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.
