Public
Edited
Aug 1, 2023
9 forks
Importers
chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 600;
const marginTop = 25;
const marginRight = 20;
const marginBottom = 35;
const marginLeft = 40;
// Prepare the scales for positional encoding.
const x = d3.scaleLinear()
.domain(d3.extent(cars, d => d.mpg)).nice()
.range([marginLeft, width - marginRight]);
const y = d3.scaleLinear()
.domain(d3.extent(cars, d => d.hp)).nice()
.range([height - marginBottom, marginTop]);
// Create the SVG container.
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("style", "max-width: 100%; height: auto; font: 10px sans-serif;");
// Create the axes.
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).ticks(width / 80))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", width)
.attr("y", marginBottom - 4)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text("Miles per gallon →"));
svg.append("g")
.attr("transform", `translate(${marginLeft},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -marginLeft)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text("↑ Horsepower"));
// Create the grid.
svg.append("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", marginTop)
.attr("y2", height - marginBottom))
.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", marginLeft)
.attr("x2", width - marginRight));
// Add a layer of dots.
svg.append("g")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("fill", "none")
.selectAll("circle")
.data(cars)
.join("circle")
.attr("cx", d => x(d.mpg))
.attr("cy", d => y(d.hp))
.attr("r", 3);
// Add a layer of labels.
svg.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.selectAll("text")
.data(cars)
.join("text")
.attr("dy", "0.35em")
.attr("x", d => x(d.mpg) + 7)
.attr("y", d => y(d.hp))
.text(d => d.name);
return svg.node();
}
cars = FileAttachment("mtcars.csv").csv({typed: true})
Plot.plot({
grid: true,
nice: true,
x: {ticks: 10},
marks: [
Plot.dot(cars, {x: "mpg", y: "hp", stroke: "steelblue"}),
Plot.text(cars, {x: "mpg", y: "hp", text: "name", textAnchor: "start", dx: 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.
