Published
Edited
Jun 30, 2020
chart = {
const svg = d3.create("svg")
.style("display", "block")
.attr("viewBox", [0, 0, width, height]);
const defs = svg.append("defs");
defs.append("path")
.attr("id", "outline")
.attr("d", path(outline));
defs.append("clipPath")
.attr("id", "clip")
.append("use")
.attr("xlink:href", new URL("#outline", location));
const g = svg.append("g")
.attr("clip-path", `url(${new URL("#clip", location)})`);
g.append("use")
.attr("xlink:href", new URL("#outline", location))
.attr("fill", "white");
g.append("g")
.selectAll("path")
.data(countries.features)
.join("path")
.attr("fill", d => color(data.get(d.properties.name)))
.attr("d", path)
.append("title")
.text(d => `${d.properties.name}
${data.has(d.properties.name) ? data.get(d.properties.name) : "N/A"}`);
g.append("path")
.datum(topojson.mesh(world, world.objects.countries, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", path);
svg.append("use")
.attr("xlink:href", new URL("#outline", location))
.attr("fill", "none")
.attr("stroke", "black");
return svg.node();
}
data = Object.assign(new Map(d3.csvParse(await FileAttachment("invsim_2014 - Copy of invsim_2014.csv").text(), ({country, yeardiff}) => [rename.get(country) || country, +yeardiff])), {title: "Difference to US Constitution Year"})
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"]
])
color = d3.scaleSequential()
.domain(d3.extent(Array.from(data.values())))
.interpolator(d3.interpolateYlGnBu)
.unknown("#ccc")
projection = d3.geoEqualEarth()
path = d3.geoPath(projection)
width = 975
height = {
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);
return dy;
}
outline = ({type: "Sphere"})
countries = topojson.feature(world, world.objects.countries)
world = FileAttachment("countries-50m.json").json()
topojson = require("topojson-client@3")
d3 = require("d3@5")
import {legend} from "@d3/color-legend"
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.
