Public
Edited
Jul 1, 2020
chart = {
const arcs = pie(data);
const svg = d3.create("svg")
.attr("viewBox", [-width / 2, -height / 2, width, height]);
svg.selectAll("path")
.data(arcs)
.join("path")
.attr("fill", d => color(d.data.name))
.attr("d", arc)
.append("title")
.text(d => `${d.data.name}: ${d.data.value.toLocaleString()}`);
svg.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 12)
.attr("text-anchor", "middle")
.selectAll("text")
.data(arcs)
.join("text")
.attr("transform", d => `translate(${arc.centroid(d)})`)
.call(text => text.append("tspan")
.attr("y", "-0.4em")
.attr("font-weight", "bold")
.text(d => d.data.name))
.call(text => text.filter(d => (d.endAngle - d.startAngle) > 0.25).append("tspan")
.attr("x", 0)
.attr("y", "0.7em")
.attr("fill-opacity", 0.7)
.text(d => d.data.value.toLocaleString()));
return svg.node();
}
data = ([
{'name': 'Humulene', 'value': 10},
{'name': 'Myrcene', 'value': 10},
{'name': 'beta-Caryophyllene', 'value': 10},
{'name': 'Terpineol', 'value': 10},
{'name': 'Camphene', 'value': 10},
{'name': 'Camphor', 'value': 10},
{'name': 'Euchalyptol', 'value': 10},
{'name': 'Menthol', 'value': 10},
{'name': 'alpha-Pinene', 'value': 10},
{'name': 'Limonene', 'value': 10},
])
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, 600)
arc = {
const radius = Math.min(width, height) / 2;
return d3.arc().innerRadius(radius * 0.67).outerRadius(radius - 1);
}
pie = d3.pie()
.padAngle(0.005)
.sort(null)
.value(d => d.value)
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.
