chart = {
const root = partition(data);
root.each(d => d.current = d);
const svg = d3.select(DOM.svg(width, width))
.style("width", "100%")
.style("height", "auto")
.style("font", "10px sans-serif");
const g = svg.append("g")
.attr("transform", `translate(${width / 2},${width / 2})`)
.on("mouseleave",mouseleave);
const path = g.append("g")
.selectAll("path")
.data(root.descendants().slice(1))
.enter().append("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))
.on("mouseover",mouseover);
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))
.enter().append("text")
.attr("dy", "0.35em")
.attr("fill-opacity", d => +labelVisible(d.current))
.attr("transform", d => labelTransform(d.current))
.text(d => d.data.name);
//percentage text
const percentage_text=svg.append("text")
.attr("id","title")
.attr("x", (width / 2))
.attr("y", (width / 2))
.attr("text-anchor", "middle")
.style("font-size", "2.5em");
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));
}
//mouse over
const totalSize = root.descendants()[0].value;
function mouseover(d){
var percentage = (100 * d.value / totalSize).toPrecision(3);
var percentageString = percentage + "%";
if (percentage < 0.1) {
percentageString = "< 0.1%"; }
percentage_text.text(percentageString);
var sequenceArray = d.ancestors().reverse();
sequenceArray.shift(); // remove root node from the array
// Fade all the segments.
d3.selectAll("path")
.style("opacity", 0.3);
// Then highlight only those that are an ancestor of the current segment.
g.selectAll("path")
.filter(function(node) {
return (sequenceArray.indexOf(node) >= 0);
})
.style("opacity", 1);
}
//mouse leave
// Restore everything to full opacity when moving off the visualization.
function mouseleave(d) {
// Deactivate all segments during transition.
//d3.selectAll("path").on("mouseover", null);
// Transition each segment to full opacity and then reactivate it.
d3.selectAll("path")
.transition()
.duration(200)
.style("opacity", 1)
.on("end", function() {
d3.select(this).on("mouseover", mouseover);
});
percentage_text.text("");
}
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();
}
// data = require("@observablehq/flare")
data= await d3.json("https://gist.githubusercontent.com/MargretWG/b3f9e0a383408c6e6a45fc652e83a26c/raw/8756e2320d05a774e96983234beff81b01409315/hierarchy.json")
partition = data => {
const root = d3.hierarchy(data)
.sum(d => d.size)
.sort((a, b) => b.value - a.value);
return d3.partition()
.size([2 * Math.PI, root.height + 1])
(root);
}
color = d3.scaleOrdinal().range(d3.quantize(d3.interpolateRainbow, data.children.length + 1))
format = d3.format(",d")
width = 974
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.