Public
Edited
Sep 17, 2024
chart = Tree(root, {
label: d => d.id,
title: (d, n) => `${n.ancestors().reverse().map(d => d.data.name).join(".")}`, // hover text
sort: (a, b) => d3.descending(a.height, b.height), // reduce link crossings
tree: d3.cluster,
width: 1152,
curve: d3.curveStep
})
root = stratify(data)
stratify = d3.stratify()
.id(d => d[childColumn])
.parentId(d => d[parentColumn])
parentColumn = data.columns[0]
childColumn = data.columns[1]
data = FileAttachment("data-withRoot@14.csv").csv()
import {Tree} from "@d3/tree"
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.
