chart = {
const root = tree(data);
const svg = d3.create("svg")
.style("font", "10px sans-serif")
.style("margin", "5px");
const link = svg.append("g")
.attr("fill", "none")
.attr("stroke", "#555")
.attr("stroke-opacity", 0.4)
.attr("stroke-width", 1.5)
.selectAll("path")
.data(root.links())
.join("path")
.attr("d", d => `
M${d.target.y},${d.target.x}
C${d.source.y + root.dy / 2},${d.target.x}
${d.source.y + root.dy / 2},${d.source.x}
${d.source.y},${d.source.x}
`);
const node = svg.append("g")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 3)
.selectAll("g")
.data(root.descendants())
.join("g")
.attr("transform", d => `translate(${d.y},${d.x})`);
node.append("circle")
.attr("fill", d => d.children ? "#555" : "#999")
.attr("r", 2.5);
node.append("text")
.attr("dy", "0.31em")
.attr("x", d => d.children ? -6 : 6)
.text(d => d.data.name)
.filter(d => d.children)
.attr("text-anchor", "end")
.clone(true).lower()
.attr("stroke", "white");
yield svg.node();
svg.attr("viewBox", autoBox);
}
function autoBox() {
const {x, y, width, height} = this.getBBox();
return [x, y, width, height];
}
///data = FileAttachment("Formularyscraped@3.json").json()
//data = d3.json("https://raw.githubusercontent.com/fergustaylor/dev/master/antibiotics/Formulary.json")
data = d3.json("https://raw.githubusercontent.com/fergustaylor/dev/master/antibiotics/Formulary2.json")
tree = data => {
const root = d3.hierarchy(data).sort((a, b) => d3.descending(a.height, b.height) || d3.ascending(a.data.name, b.data.name));
root.dx = 10;
root.dy = width / (root.height + 1);
return d3.cluster().nodeSize([root.dx, root.dy])(root);
}
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.
