Public
Edited
Jul 9, 2023
chart = Choropleth(hale, {
id: d => d.ID, // country name, e.g. Zimbabwe
value: d => d.data, // health-adjusted life expectancy
scale: d3.scaleThreshold,
domain: [1, 10, 25, 40],
range: ["white", "#e7dcda", "#d0abb2", "#a86b72", "#7b2a3d" ],
features: countries,
featureId: d => d.id, // i.e., not ISO 3166-1 numeric
borders: countrymesh,
projection: d3.geoEqualEarth(),
width:1200,
height:800
})
colorScale = d3.scaleThreshold()
.domain([10, 20, 30, 40, 50])
.range(["#fee5d9", "#fcbba1", "#fc9272", "#fb6a4a", "#de2d26", "#a50f15"]);
hale = (await FileAttachment("od_world_nucode.csv").csv()).map(d => ({name: rename.get(d.country) || d.country, data: +d.data, ID:d.ISO_number}))
rename = new Map([
["Antigua and Barbuda", "Antigua and Barb."],
["Bolivia (Plurinational State of)", "Bolivia"],
["Bosnia and Herzegovina", "Bosnia and Herz."],
["Brunei Darussalam", "Brunei"],
["Central African Republic", "Central African Rep."],
["Cook Islands", "Cook Is."],
["Democratic People's Republic of Korea", "North Korea"],
["Democratic Republic of the Congo", "Dem. Rep. Congo"],
["Dominican Republic", "Dominican Rep."],
["Equatorial Guinea", "Eq. Guinea"],
["Iran (Islamic Republic of)", "Iran"],
["Lao People's Democratic Republic", "Laos"],
["Marshall Islands", "Marshall Is."],
["Micronesia (Federated States of)", "Micronesia"],
["Republic of Korea", "South Korea"],
["Republic of Moldova", "Moldova"],
["Russian Federation", "Russia"],
["Saint Kitts and Nevis", "St. Kitts and Nevis"],
["Saint Vincent and the Grenadines", "St. Vin. and Gren."],
["Sao Tome and Principe", "São Tomé and Principe"],
["Solomon Islands", "Solomon Is."],
["South Sudan", "S. Sudan"],
["Swaziland", "eSwatini"],
["Syrian Arab Republic", "Syria"],
["The former Yugoslav Republic of Macedonia", "Macedonia"],
// ["Tuvalu", ?],
["United Republic of Tanzania", "Tanzania"],
["Venezuela (Bolivarian Republic of)", "Venezuela"],
["Viet Nam", "Vietnam"]
])
world = FileAttachment("countries-50m.json").json()
countries = topojson.feature(world, world.objects.countries)
countrymesh = topojson.mesh(world, world.objects.countries, (a, b) => a !== b)
import {howto} from "@d3/example-components"
import { Legend} from "@d3/choropleth"
// Copyright 2021 Observable, Inc.
// Released under the ISC license.
// https://observablehq.com/@d3/choropleth
function Choropleth(data, {
id = d => d.id, // given d in data, returns the feature id
value = () => undefined, // given d in data, returns the quantitative value
// title, // given a feature f and possibly a datum d, returns the hover text
// format, // optional format specifier for the title
scale = d3.scaleSequential, // type of color scale
domain, // [min, max] values; input of color scale
range = d3.interpolateBlues, // output of color scale
width = 640, // outer width, in pixels
height, // outer height, in pixels
projection, // a D3 projection; null for pre-projected geometry
features, // a GeoJSON feature collection
featureId = d => d.id, // given a feature, returns its id
borders, // a GeoJSON object for stroking borders
outline = projection && projection.rotate ? {type: "Sphere"} : null, // a GeoJSON object for the background
unknown = "#ccc", // fill color for missing data
fill = "white", // fill color for outline
stroke = "#ccc", // stroke color for borders
strokeLinecap = "round", // stroke line cap for borders
strokeLinejoin = "round", // stroke line join for borders
strokeWidth, // stroke width for borders
strokeOpacity, // stroke opacity for borders
} = {}) {
// Compute values.
const N = d3.map(data, id);
const V = d3.map(data, value).map(d => d == null ? NaN : +d);
const Im = new d3.InternMap(N.map((id, i) => [id, i]));
const If = d3.map(features.features, featureId);
// Compute default domains.
if (domain === undefined) domain = d3.extent(V);
// Construct scales.
const color = scale(domain, range);
if (color.unknown && unknown !== undefined) color.unknown(unknown);
// Compute titles.
// if (title === undefined) {
// format = color.tickFormat(100, format);
// title = (f, i) => `${f.properties.name}\n${format(V[i])}`;
// } else if (title !== null) {
// const T = title;
// const O = d3.map(data, d => d);
// title = (f, i) => T(f, O[i]);
// }
// Compute the default height. If an outline object is specified, scale the projection to fit
// the width, and then compute the corresponding height.
if (height === undefined) {
if (outline === undefined) {
height = 400;
} else {
const [[x0, y0], [x1, y1]] = d3.geoPath(projection.fitWidth(width, outline)).bounds(outline);
const dy = Math.ceil(y1 - y0), l = Math.min(Math.ceil(x1 - x0), dy);
projection.scale(projection.scale() * (l - 1) / l).precision(0.2);
height = dy;
}
}
// Construct a path generator.
const path = d3.geoPath(projection);
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [0, 0, width, height])
.attr("style", "width: 100%; height: auto; height: intrinsic;");
if (outline != null) svg.append("path")
.attr("fill", fill)
.attr("stroke", "currentColor")
.attr("d", path(outline));
svg.append("g")
.selectAll("path")
.data(features.features)
.join("path")
.attr("fill", (d, i) => color(V[Im.get(If[i])]))
.attr("d", path)
// .append("title")
// .text((d, i) => title(d, Im.get(If[i])));
if (borders != null) svg.append("path")
.attr("pointer-events", "none")
.attr("fill", "none")
.attr("stroke", stroke)
.attr("stroke-linecap", strokeLinecap)
.attr("stroke-linejoin", strokeLinejoin)
.attr("stroke-width", strokeWidth)
.attr("stroke-opacity", strokeOpacity)
.attr("d", path(borders));
return Object.assign(svg.node(), {scales: {color}});
}
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.
