-chart = {
const svg = d3.create("svg").attr("viewBox", [0, 0, 800, 500]);
var projection = d3.geoMercator()
.scale(1300)
// Center the Map in Colombia
.center([-74, 4.5])
.translate([800 / 2, 500 / 2]);
var path = d3.geoPath()
.projection(projection);
svg.append(legend)
.attr("transform", "translate(620,380)");
svg.append("g")
.selectAll("path")
.data(topojson.feature(mapData, mapData.objects.MGN_ANM_MPIOS).features)
.join("path")
.attr("fill", d => color(data.get(d.properties.MPIO_CDPMP)))
.attr("d", path)
.append("title")
.text(d => `${d.properties.MPIO_CNMBR}`);
svg.append("path")
.datum(topojson.mesh(mapData, mapData.objects.MGN_ANM_DPTOS, (a, b) => a !== b))
.attr("fill", "none")
.attr("stroke", "white")
.attr("stroke-linejoin", "round")
.attr("d", path);
return svg.node();
}
legend = () => {
const k = 24;
const arrow = DOM.uid();
return svg`<g font-family=sans-serif font-size=10>
<g transform="translate(-${k * n / 2},-${k * n / 2}) rotate(-45 ${k * n / 2},${k * n / 2})">
<marker id="${arrow.id}" markerHeight=10 markerWidth=10 refX=6 refY=3 orient=auto>
<path d="M0,0L9,3L0,6Z" />
</marker>
${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg`<rect width=${k} height=${k} x=${i * k} y=${(n - 1 - j) * k} fill=${colors[j * n + i]}>
<title>${data.title[0]}${labels[j] && ` (${labels[j]})`}
${data.title[1]}${labels[i] && ` (${labels[i]})`}</title>
</rect>`)}
<line marker-end="${arrow}" x1=0 x2=${n * k} y1=${n * k} y2=${n * k} stroke=black stroke-width=1.5 />
<line marker-end="${arrow}" y2=0 y1=${n * k} stroke=black stroke-width=1.5 />
<text font-weight="bold" dy="0.71em" transform="rotate(90) translate(${n / 2 * k},6)" text-anchor="middle">${data.title[0]}</text>
<text font-weight="bold" dy="0.71em" transform="translate(${n / 2 * k},${n * k + 6})" text-anchor="middle">${data.title[1]}</text>
</g>
</g>`;
}
data = Object.assign(new Map(d3.csvParse(await FileAttachment("ind_2021pob@2.csv").text(), ({MPIO_CDPMP, prp_60m, rm}) => [MPIO_CDPMP, [+prp_60m, +rm]])), {title: ["% pob. 60 o más", "R. de masculinidad"]})
labels = ["low", "", "high"]
path = d3.geoPath()
n = Math.floor(Math.sqrt(colors.length))
x = d3.scaleQuantile(Array.from(data.values(), d => d[0]), d3.range(n))
y = d3.scaleQuantile(Array.from(data.values(), d => d[1]), d3.range(n))
color = {
return value => {
if (!value) return "#ccc";
let [a, b] = value;
return colors[y(b) + x(a) * n];
};
}
format = (value) => {
if (!value) return "N/A";
let [a, b] = value;
return `${a}% ${data.title[0]}${labels[x(a)] && ` (${labels[x(a)]})`}
${b}% ${data.title[1]}${labels[y(b)] && ` (${labels[y(b)]})`}`;
}
states = new Map(us.objects.states.geometries.map(d => [d.id, d.properties]))
us = FileAttachment("counties-albers-10m.json").json()
mpios = topojson.feature(mapData, mapData.objects.MGN_ANM_MPIOS)
dptos = topojson.feature(mapData, mapData.objects.MGN_ANM_DPTOS)
mapData
import {mapData} from "@john-guerra/topojson-colombia"
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.
