Published
Edited
Mar 19, 2020
Insert cell
Insert cell
chart = {
const root = tree(d3.hierarchy(data)
.sort((a, b) => d3.ascending(a.data.name, b.data.name)));
const svg = d3.create("svg")
.style("max-width", "100%")
.style("height", "auto")
.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", d3.linkRadial()
.angle(d => d.x)
.radius(d => d.y));
const node = svg.append("g")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 3)
.selectAll("g")
.data(root.descendants().reverse())
.join("g")
.attr("transform", d => `
rotate(${d.x * 180 / Math.PI - 90})
translate(${d.y},0)
`);
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.x < Math.PI === !d.children ? 6 : -6)
.attr("text-anchor", d => d.x < Math.PI === !d.children ? "start" : "end")
.attr("transform", d => d.x >= Math.PI ? "rotate(180)" : null)
.text(d => d.data.name)
.clone(true).lower()
.attr("stroke", "white");

yield svg.node();

svg.attr("viewBox", autoBox);
}
Insert cell
function autoBox() {
const {x, y, width, height} = this.getBBox();
return [x, y, width, height];
}
Insert cell
///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")
Insert cell
tree = d3.tree()
.size([2 * Math.PI, radius])
.separation((a, b) => (a.parent == b.parent ? 1 : 2) / a.depth)
Insert cell
width = 932
Insert cell
radius = width / 2
Insert cell
d3 = require("d3@5")
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more