chart = {
const arcs = pie(data);
const svg = d3.create("svg")
.attr("viewBox", [-width / 2, -height / 2, width, height]);
svg.append("g")
.attr("stroke", "white")
.selectAll("path")
.data(arcs)
.join("path")
.attr("fill", d => color(d.data.value))
.attr("d", arc)
.append("title")
.text(d => `${d.data.name}: ${d.data.value.toLocaleString()}`);
return svg.node();
}
data = d3.csvParse(await FileAttachment("population-by-age@1.csv").text(), d3.autoType)
color = d3.scaleOrdinal()
.domain(data.map(d => d.name))
.range(d3.quantize(t => d3.interpolateSpectral(t * 0.8 + 0.1), data.length).reverse())
height = Math.min(width, 500)
arc = d3.arc()
.innerRadius(0)
.outerRadius(Math.min(width, height) / 2 - 1)
arcLabel = {
const radius = Math.min(width, height) / 2 * 0.8;
return d3.arc().innerRadius(radius).outerRadius(radius);
}
pie = d3.pie()
.sort(null)
.value(d => d.value)
d3 = require("d3@6")
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.
