Public
Edited
Jul 7, 2023
Importers
1 star
tree
csv_data = d3.csvParse(csvText)
stratified = d3
.stratify()
.id((d) => d.employee)
.parentId((d) => d.supervisor)(csv_data)
graph(d3.hierarchy(stratified))
links = d3.csvParse(`expected_seeds,expected_preseeds
1-2,
1-4,1-2
2-3,1-2
1-8,1-4
4-5,1-4,
2-7,2-3
3-6,2-3
8-9,1-8
7-10,2-7`)
stratified_big_south = d3
.stratify()
.id((o) => o.expected_seeds)
.parentId((o) => o.expected_preseeds)(links)
stratified_big_south_pic = graph(d3.hierarchy(stratified_big_south))
games = new Map([
["8-9", "Char So df HP"],
["1-8", "UNCA vs Char So"],
["4-5", "SC Up vs GW"],
["7-10", "Camp df Pres"],
["2-7", "Long vs Camp"],
["3-6", "Rad vs Win"]
])
graph(d3.hierarchy(stratified_big_south), {
label: function (game) {
let expected_seeds = game.data.data.expected_seeds;
if (games.get(expected_seeds)) {
return games.get(expected_seeds);
}
}
})
// Modified only slightly from
// https://observablehq.com/@d3/d3-hierarchy
function graph(
root,
{ label = (d) => d.data.id, highlight = () => false, marginLeft = 40 } = {}
) {
let dx = 12;
let dy = 120;
let tree = d3
.tree()
.separation(() => 3)
.nodeSize([dx, dy]);
let treeLink = d3
.linkHorizontal()
.x((d) => d.y)
.y((d) => d.x);
root = tree(root);
let x0 = Infinity;
let x1 = -x0;
root.each((d) => {
if (d.x > x1) x1 = d.x;
if (d.x < x0) x0 = d.x;
});
const svg = d3
.create("svg")
.attr("viewBox", [0, 0, width, x1 - x0 + dx * 2])
.style("overflow", "visible");
const g = svg
.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("transform", `translate(${marginLeft},${dx - x0})`);
const link = g
.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("stroke", (d) =>
highlight(d.source) && highlight(d.target) ? "red" : null
)
.attr("stroke-opacity", (d) =>
highlight(d.source) && highlight(d.target) ? 1 : null
)
.attr("d", treeLink);
const node = g
.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) => (highlight(d) ? "red" : d.children ? "#555" : "#999"))
.attr("r", 2.5);
node
.append("text")
.attr("fill", (d) => (highlight(d) ? "red" : null))
.attr("stroke", "white")
.attr("paint-order", "stroke")
.attr("dy", "0.31em")
.attr("x", (d) => (d.children ? -6 : 6))
.attr("text-anchor", (d) => (d.children ? "end" : "start"))
.text(label);
return svg.node();
}
layout
styles
import { big_south_bracket, styles } from "33ccc404cac487d8"
import { pic, viewof new_tree, layout, tree, size } from "1ec728c5ee86f0f3"
import { viewof expr, parse_tree_pic, graphed } from "ded1d5802242c72d"
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.
