chart = {
const root = partition(data);
root.each(d => d.current = d);
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, width])
.style("font", "10px sans-serif");
const g = svg.append("g")
.attr("transform", `translate(${width / 2},${width / 2})`);
const path = g.append("g")
.selectAll("path")
.data(root.descendants().slice(1))
.join("path")
.attr("fill", d => { while (d.depth > 1) d = d.parent; return color(d.data.name); })
.attr("fill-opacity", d => arcVisible(d.current) ? (d.children ? 0.6 : 0.4) : 0)
.attr("d", d => arc(d.current));
path.filter(d => d.children)
.style("cursor", "pointer")
.on("click", clicked);
path.append("title")
.text(d => `${d.ancestors().map(d => d.data.name).reverse().join("/")}\n${format(d.value)}`);
const label = g.append("g")
.attr("pointer-events", "none")
.attr("text-anchor", "middle")
.style("user-select", "none")
.selectAll("text")
.data(root.descendants().slice(1))
.join("text")
.attr("dy", "0.35em")
.attr("fill-opacity", d => +labelVisible(d.current))
.attr("transform", d => labelTransform(d.current))
.text(d => d.data.name);
const parent = g.append("circle")
.datum(root)
.attr("r", radius)
.attr("fill", "none")
.attr("pointer-events", "all")
.on("click", clicked);
function clicked(p) {
parent.datum(p.parent || root);
root.each(d => d.target = {
x0: Math.max(0, Math.min(1, (d.x0 - p.x0) / (p.x1 - p.x0))) * 2 * Math.PI,
x1: Math.max(0, Math.min(1, (d.x1 - p.x0) / (p.x1 - p.x0))) * 2 * Math.PI,
y0: Math.max(0, d.y0 - p.depth),
y1: Math.max(0, d.y1 - p.depth)
});
const t = g.transition().duration(750);
// Transition the data on all arcs, even the ones that aren’t visible,
// so that if this transition is interrupted, entering arcs will start
// the next transition from the desired position.
path.transition(t)
.tween("data", d => {
const i = d3.interpolate(d.current, d.target);
return t => d.current = i(t);
})
.filter(function(d) {
return +this.getAttribute("fill-opacity") || arcVisible(d.target);
})
.attr("fill-opacity", d => arcVisible(d.target) ? (d.children ? 0.6 : 0.4) : 0)
.attrTween("d", d => () => arc(d.current));
label.filter(function(d) {
return +this.getAttribute("fill-opacity") || labelVisible(d.target);
}).transition(t)
.attr("fill-opacity", d => +labelVisible(d.target))
.attrTween("transform", d => () => labelTransform(d.current));
}
function arcVisible(d) {
return d.y1 <= 3 && d.y0 >= 1 && d.x1 > d.x0;
}
function labelVisible(d) {
return d.y1 <= 3 && d.y0 >= 1 && (d.y1 - d.y0) * (d.x1 - d.x0) > 0.03;
}
function labelTransform(d) {
const x = (d.x0 + d.x1) / 2 * 180 / Math.PI;
const y = (d.y0 + d.y1) / 2 * radius;
return `rotate(${x - 90}) translate(${y},0) rotate(${x < 180 ? 0 : 180})`;
}
return svg.node();
}
data2 = d3.json("https://raw.githubusercontent.com/d3/d3-hierarchy/v1.1.8/test/data/flare.json")
data = (
{name:"root", // added root node
children:[
{"name":"SmartSystems 2018-2026",
"children":[
{"name":"Buildings & Facilities",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]}]}, // missing comma <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
{"name":"Resources",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]},
{"name":"Industrial Manufacturing",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]},
{"name":"Infrastructure",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]},
{"name":"Healthcare",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]},
{"name":"Professional IT",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]},
{"name":"Consumer IT",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]},
{"name":"Retail, Commercial & Institutional Services",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}]},
{"name":"Transportation",
"children":[
{"name":"2018","value":3938},
{"name":"2019","value":3938},
{"name":"2020","value":3938},
{"name":"2021","value":3938},
{"name":"2022","value":3938},
{"name":"2023","value":3938},
{"name":"2024","value":3938},
{"name":"2025","value":3938},
{"name":"2026","value":3938}
]
}]})
partition = data => {
const root = d3.hierarchy(data)
.sum(d => d.value)
.sort((a, b) => b.value - a.value);
return d3.partition()
.size([2 * Math.PI, root.height + 1])
(root);
}
color = d3.scaleOrdinal(d3.quantize(d3.interpolateRainbow, data.children.length + 1))
format = d3.format(",d")
width = 932
radius = width / 6
arc = d3.arc()
.startAngle(d => d.x0)
.endAngle(d => d.x1)
.padAngle(d => Math.min((d.x1 - d.x0) / 2, 0.005))
.padRadius(radius * 1.5)
.innerRadius(d => d.y0 * radius)
.outerRadius(d => Math.max(d.y0 * radius, d.y1 * radius - 1))
d3 = require("d3@5")
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.