Node.js collaborator. I'm interested in TypeScript, AST programming, WebAssembly, and Rust.
chart = {
const root = pack(data);
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("font-size", 10)
.attr("font-family", "sans-serif")
.attr("text-anchor", "middle");
const leaf = svg.selectAll("g")
.data(root.leaves())
.join("g")
.attr("transform", d => `translate(${d.x + 1},${d.y + 1})`);
leaf.append("circle")
.attr("id", d => (d.leafUid = DOM.uid("leaf")).id)
.attr("r", d => d.r)
.attr("fill-opacity", 0.7)
.attr("fill", d => color(d.data.group));
leaf.append("clipPath")
.attr("id", d => (d.clipUid = DOM.uid("clip")).id)
.append("use")
.attr("xlink:href", d => d.leafUid.href);
leaf.append("text")
.attr("clip-path", d => d.clipUid)
.selectAll("tspan")
.data(d => d.data.name.split(/(?=[A-Z][a-z])|\s+/g))
.join("tspan")
.attr("x", 0)
.attr("y", (d, i, nodes) => `${i - nodes.length / 2 + 0.8}em`)
.text(d => d);
leaf.append("title")
.text(d => `${d.data.title === undefined ? "" : `${d.data.title}
`}${format(d.value)}`);
return svg.node();
}
data = d3.csvParse(await FileAttachment("data@1.csv").text(), ({topic, percentage, ...rest}) => ({name: topic, title: topic, group: topic, value: percentage}))
pack = data => d3.pack()
.size([width - 2, height - 2])
.padding(3)
(d3.hierarchy({children: data})
.sum(d => d.value))
width = 932
height = width
format = d3.format(",d")
color = d3.scaleOrdinal(data.map(d => d.group), d3.schemeCategory10)
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.
