Published
Edited
Feb 17, 2020
md`# Comparative data`
d3 = require("d3@5")
data1 = d3.tsv("https://raw.githubusercontent.com/katjaq/comparative-data/master/10.3389%252Ffnhum.2013.00424.tsv")
data1[0]
data1[0].Species
data1[0]["Brain weight (g)"]
data = Object.assign(d3.tsvParse(await FileAttachment("10.1371%2Fjournal.pbio.1002000_TableS1.tsv").text(), ({Species, Brain_weight_g: x, GI: y}) => ({Species, x: +Math.log(x), y: +y})), {x: "Species", y: "↑ Brain weight in g"})
height = 600
margin = ({top: 25, right: 20, bottom: 35, left: 40})
x = d3.scaleLinear()
.domain(d3.extent(data, d => d.x)).nice()
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(d3.extent(data, d => d.y)).nice()
.range([height - margin.bottom, margin.top])
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,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 80))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", width)
.attr("y", margin.bottom - 4)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text(data.x))
yAxis = g => g
.attr("transform", `translate(${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))
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("g")
.call(grid);
svg.append("g")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("fill", "none")
.selectAll("circle")
.data(data)
.join("circle")
.attr("cx", d => x(d.x))
.attr("cy", d => y(d.y))
.attr("r", 3);
svg.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.selectAll("text")
.data(data)
.join("text")
.attr("dy", "0.35em")
.attr("x", d => x(d.x) + 7)
.attr("y", d => y(d.y))
.text(d => d.name);
return svg.node();
}
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.
