data = Object.assign(d3.csvParse(await FileAttachment("gini_estado.csv").text(), d3.autoType), {
x: "População →",
y: "↑ Desigualdade (GINI)"
})
x = d3.scaleLog()
.domain(padLog(d3.extent(data.flatMap(d => [d.POP_2008, d.POP_2011])), 0.1))
.rangeRound([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(padLinear(d3.extent(data.flatMap(d => [d.GINI_2008, d.GINI_2011])), 0.1))
.rangeRound([height - margin.bottom, margin.top])
function padLinear([x0, x1], k) {
const dx = (x1 - x0) * k / 2;
return [x0 - dx, x1 + dx];
}
function padLog(x, k) {
return padLinear(x.map(Math.log), k).map(Math.exp);
}
endColor = d3.schemeCategory10[3]
function arc(x1, y1, x2, y2) {
const r = Math.hypot(x1 - x2, y1 - y2) * 2;
return `
M${x1},${y1}
A${r},${r} 0,0,1 ${x2},${y2}
`;
}
grid = g => g
.attr("stroke", "currentColor")
.attr("stroke-opacity", 0.1)
.call(g => g.append("g")
.selectAll("line")
.data(x.ticks())
.join("line")
.attr("x1", d => 0.5 + x(d))
.attr("x2", d => 0.5 + x(d))
.attr("y1", margin.top)
.attr("y2", height - margin.bottom))
.call(g => g.append("g")
.selectAll("line")
.data(y.ticks())
.join("line")
.attr("y1", d => 0.5 + y(d))
.attr("y2", d => 0.5 + y(d))
.attr("x1", margin.left)
.attr("x2", width - margin.right));
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80, ".1s"))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", width)
.attr("y", margin.bottom - 4)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text(data.x))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(data.y))
height = 640
margin = ({top: 24, right: 10, bottom: 34, left: 40})
d3 = require("d3@6")
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.
