Published
Edited
Nov 3, 2020
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chart = {
var total =0;
for( var i in data ) {
if( typeof( data[i]["value"] ) == "number" ){
total = total + data[i]["value"];
console.log(total );
}
}
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.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(${arcLabel.centroid(d)})`)
.call(text => text.append("tspan")
.attr("y", "-0.4em")
.attr("font-weight", "bold")
.text(d => d.data.name))
.call(text => text.filter(d => (d.endAngle - d.startAngle) > 0.25).append("tspan")
.attr("x", 0)
.attr("y", "0.7em")
.attr("fill-opacity", 0.7)
.text(d => d.data.value.toLocaleString() + `(${Math.round(d.data.value / total*100)}%)`));

return svg.node();
}
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data = d3.csvParse(await FileAttachment("hbar_number_cs@1.csv").text(), d3.autoType)
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color = d3.scaleOrdinal()
.domain(data.map(d => d.name))
.range(d3.quantize(t => d3.interpolateSpectral(t * 0.8 + 0.1), data.length).reverse())
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height = Math.min(width, 500)
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arc = d3.arc()
.innerRadius(0)
.outerRadius(Math.min(width, height) / 2 - 1)
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arcLabel = {
const radius = Math.min(width, height) / 2 * 0.8;
return d3.arc().innerRadius(radius).outerRadius(radius);
}
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pie = d3.pie()
.sort(null)
.value(d => d.value)
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d3 = require("d3@6")
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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.
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