chart = Treemap(materials, {
path: d => d.name.replace(/\./g, "/"), // e.g., "flare/animate/Easing"
value: d => d?.size, // size of each node (file); null for internal nodes (folders)
group: d => d.name.split(".")[1], // e.g., "animate" in "flare.animate.Easing"; for color
label: (d, n) => [...d.name.split(".").pop().split(/(?=[A-Z][a-z])/g), n.value.toLocaleString("en")].join("\n"),
title: (d, n) => `${d.name}\n${n.value.toLocaleString("en")}`, // text to show on hover
link: (d, n) => `https://github.com/prefuse/Flare/blob/master/flare/src${n.id}.as`,
tile, // e.g., d3.treemapBinary; set by input above
width: 1152,
height: 1152
})
link = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vS3gmXWc5pmJlVWDbQsh1O4rmS0QK0tJr21kcTdVdO7vz5HVLz4kQBzxv7gzLBTldR9BsefXu-8X3QU/pub?output=csv'
materials = d3.csv(link, d3.autoType)
flare = FileAttachment("flare-2.csv").csv({typed: true})
// Copyright 2021 Observable, Inc.
// Released under the ISC license.
// https://observablehq.com/@d3/treemap
function Treemap(data, { // data is either tabular (array of objects) or hierarchy (nested objects)
path, // as an alternative to id and parentId, returns an array identifier, imputing internal nodes
id = Array.isArray(data) ? d => d.id : null, // if tabular data, given a d in data, returns a unique identifier (string)
parentId = Array.isArray(data) ? d => d.parentId : null, // if tabular data, given a node d, returns its parent’s identifier
children, // if hierarchical data, given a d in data, returns its children
value, // given a node d, returns a quantitative value (for area encoding; null for count)
sort = (a, b) => d3.descending(a.value, b.value), // how to sort nodes prior to layout
label, // given a leaf node d, returns the name to display on the rectangle
group, // given a leaf node d, returns a categorical value (for color encoding)
title, // given a leaf node d, returns its hover text
link, // given a leaf node d, its link (if any)
linkTarget = "_blank", // the target attribute for links (if any)
tile = d3.treemapBinary, // treemap strategy
width = 640, // outer width, in pixels
height = 400, // outer height, in pixels
margin = 0, // shorthand for margins
marginTop = margin, // top margin, in pixels
marginRight = margin, // right margin, in pixels
marginBottom = margin, // bottom margin, in pixels
marginLeft = margin, // left margin, in pixels
padding = 1, // shorthand for inner and outer padding
paddingInner = padding, // to separate a node from its adjacent siblings
paddingOuter = padding, // shorthand for top, right, bottom, and left padding
paddingTop = paddingOuter, // to separate a node’s top edge from its children
paddingRight = paddingOuter, // to separate a node’s right edge from its children
paddingBottom = paddingOuter, // to separate a node’s bottom edge from its children
paddingLeft = paddingOuter, // to separate a node’s left edge from its children
round = true, // whether to round to exact pixels
colors = d3.schemeTableau10, // array of colors
zDomain, // array of values for the color scale
fill = "#ccc", // fill for node rects (if no group color encoding)
fillOpacity = group == null ? null : 0.6, // fill opacity for node rects
stroke, // stroke for node rects
strokeWidth, // stroke width for node rects
strokeOpacity, // stroke opacity for node rects
strokeLinejoin, // stroke line join for node rects
} = {}) {
// If id and parentId options are specified, or the path option, use d3.stratify
// to convert tabular data to a hierarchy; otherwise we assume that the data is
// specified as an object {children} with nested objects (a.k.a. the “flare.json”
// format), and use d3.hierarchy.
const root = path != null ? d3.stratify().path(path)(data)
: id != null || parentId != null ? d3.stratify().id(id).parentId(parentId)(data)
: d3.hierarchy(data, children);
// Compute the values of internal nodes by aggregating from the leaves.
value == null ? root.count() : root.sum(d => Math.max(0, value(d)));
// Prior to sorting, if a group channel is specified, construct an ordinal color scale.
const leaves = root.leaves();
const G = group == null ? null : leaves.map(d => group(d.data, d));
if (zDomain === undefined) zDomain = G;
zDomain = new d3.InternSet(zDomain);
const color = group == null ? null : d3.scaleOrdinal(zDomain, colors);
// Compute labels and titles.
const L = label == null ? null : leaves.map(d => label(d.data, d));
const T = title === undefined ? L : title == null ? null : leaves.map(d => title(d.data, d));
// Sort the leaves (typically by descending value for a pleasing layout).
if (sort != null) root.sort(sort);
// Compute the treemap layout.
d3.treemap()
.tile(tile)
.size([width - marginLeft - marginRight, height - marginTop - marginBottom])
.paddingInner(paddingInner)
.paddingTop(paddingTop)
.paddingRight(paddingRight)
.paddingBottom(paddingBottom)
.paddingLeft(paddingLeft)
.round(round)
(root);
const svg = d3.create("svg")
.attr("viewBox", [-marginLeft, -marginTop, width, height])
.attr("width", width)
.attr("height", height)
.attr("style", "max-width: 100%; height: auto; height: intrinsic;")
.attr("font-family", "sans-serif")
.attr("font-size", 10);
const node = svg.selectAll("a")
.data(leaves)
.join("a")
.attr("xlink:href", link == null ? null : (d, i) => link(d.data, d))
.attr("target", link == null ? null : linkTarget)
.attr("transform", d => `translate(${d.x0},${d.y0})`);
node.append("rect")
.attr("fill", color ? (d, i) => color(G[i]) : fill)
.attr("fill-opacity", fillOpacity)
.attr("stroke", stroke)
.attr("stroke-width", strokeWidth)
.attr("stroke-opacity", strokeOpacity)
.attr("stroke-linejoin", strokeLinejoin)
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0);
if (T) {
node.append("title").text((d, i) => T[i]);
}
if (L) {
// A unique identifier for clip paths (to avoid conflicts).
const uid = `O-${Math.random().toString(16).slice(2)}`;
node.append("clipPath")
.attr("id", (d, i) => `${uid}-clip-${i}`)
.append("rect")
.attr("width", d => d.x1 - d.x0)
.attr("height", d => d.y1 - d.y0);
node.append("text")
.attr("clip-path", (d, i) => `url(${new URL(`#${uid}-clip-${i}`, location)})`)
.selectAll("tspan")
.data((d, i) => `${L[i]}`.split(/\n/g))
.join("tspan")
.attr("x", 3)
.attr("y", (d, i, D) => `${(i === D.length - 1) * 0.3 + 1.1 + i * 0.9}em`)
.attr("fill-opacity", (d, i, D) => i === D.length - 1 ? 0.7 : null)
.text(d => d);
}
return Object.assign(svg.node(), {scales: {color}});
}
import {Swatches} from "@d3/color-legend"
import {howto} from "@d3/example-components"
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.
