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 = 681
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")
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.
