Public
Edited
Aug 1, 2023
47 forks
Importers
46 stars
chart = {
// Specify the chart’s dimensions.
const width = 928;
const height = 600;
const marginTop = 25;
const marginRight = 20;
const marginBottom = 35;
const marginLeft = 40;
// Create the positional scales.
const x = d3.scaleLinear()
.domain(d3.extent(data, d => d.sepalLength)).nice()
.range([marginLeft, width - marginRight]);
const y = d3.scaleLinear()
.domain(d3.extent(data, d => d.sepalWidth)).nice()
.range([height - marginBottom, marginTop]);
// Create the categorical scales.
const color = d3.scaleOrdinal(data.map(d => d.species), d3.schemeCategory10);
const shape = d3.scaleOrdinal(data.map(d => d.species), d3.symbols.map(s => d3.symbol().type(s)()));
// Create the SVG container.
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("width", width)
.attr("height", height)
.attr("style", "max-width: 100%; height: auto;");
// Append the axes.
svg.append("g")
.attr("transform", `translate(0,${height - marginBottom})`)
.call(d3.axisBottom(x).ticks(width / 80))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", width)
.attr("y", marginBottom - 4)
.attr("fill", "currentColor")
.attr("text-anchor", "end")
.text("Sepal length (cm) →"));
svg.append("g")
.attr("transform", `translate(${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("↑ Sepal width (cm)"));
// Add a 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 the scatterplot symbols.
svg.append("g")
.attr("stroke-width", 1.5)
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.selectAll("path")
.data(data)
.join("path")
.attr("transform", d => `translate(${x(d.sepalLength)},${y(d.sepalWidth)})`)
.attr("fill", d => color(d.species))
.attr("d", d => shape(d.species));
return Object.assign(svg.node(), {scales: {color, shape}});
}
data = FileAttachment("iris.csv").csv({typed: true})
Plot.dot(data, {x: "sepalLength", y: "sepalWidth", fill: "species", symbol: "species"})
.plot({nice: true, grid: true, symbol: {legend: true}})
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.
