Published unlisted
Edited
Jun 23, 2020
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();
}
data = Object.assign(d3.csvParse(await FileAttachment("mtcars.csv").text(), ({name, mpg: x, hp: y}) => ({name, x: +x, y: +y})), {x: "Miles per gallon →", y: "↑ Horsepower"})
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])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(
d3.axisBottom(x)
.ticks(width / 80)
.filter(type => type !== "domain")
.title(data.x)
)
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(
d3.axisLeft(y)
.filter(type => type !== "domain")
.title(data.y)
)
grid = g =>
g
.style("opacity", 0.1)
.call(g =>
g
.append("g")
.attr("transform", `translate(0,${margin.top})`)
.call(
d3
.axisTop(x)
.tickReach(height - margin.bottom - margin.top)
.filter(type => type === "line")
)
)
.call(g =>
g
.append("g")
.attr("transform", `translate(${margin.left})`)
.call(
d3
.axisLeft(y)
.tickReach(width - margin.left - margin.right)
.filter(type => type === "line")
)
)
margin = ({top: 25, right: 20, bottom: 35, left: 40})
height = 600
d3 = require("d3@5", "https://files-9v55pqs9m.vercel.app/d3-axis.js")
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.
