Public
Edited
Aug 1, 2023
11 forks
6 stars
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chart = {

// Specify the chart’s dimensions.
const width = 928;
const height = width;
const padding = 28;
const columns = data.columns.filter(d => typeof data[0][d] === "number");
const size = (width - (columns.length + 1) * padding) / columns.length + padding;

// Define the horizontal scales (one for each row).
const x = columns.map(c => d3.scaleLinear()
.domain(d3.extent(data, d => d[c]))
.rangeRound([padding / 2, size - padding / 2]))

// Define the companion vertical scales (one for each column).
const y = x.map(x => x.copy().range([size - padding / 2, padding / 2]));

// Define the color scale.
const color = d3.scaleOrdinal()
.domain(data.map(d => d.species))
.range(d3.schemeCategory10);

// Define the horizontal axis (it will be applied separately for each column).
const axisx = d3.axisBottom()
.ticks(6)
.tickSize(size * columns.length);
const xAxis = g => g.selectAll("g").data(x).join("g")
.attr("transform", (d, i) => `translate(${i * size},0)`)
.each(function(d) { return d3.select(this).call(axisx.scale(d)); })
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick line").attr("stroke", "#ddd"));

// Define the vertical axis (it will be applied separately for each row).
const axisy = d3.axisLeft()
.ticks(6)
.tickSize(-size * columns.length);
const yAxis = g => g.selectAll("g").data(y).join("g")
.attr("transform", (d, i) => `translate(0,${i * size})`)
.each(function(d) { return d3.select(this).call(axisy.scale(d)); })
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick line").attr("stroke", "#ddd"));
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [-padding, 0, width, height]);

svg.append("style")
.text(`circle.hidden { fill: #000; fill-opacity: 1; r: 1px; }`);

svg.append("g")
.call(xAxis);

svg.append("g")
.call(yAxis);

const cell = svg.append("g")
.selectAll("g")
.data(d3.cross(d3.range(columns.length), d3.range(columns.length)))
.join("g")
.attr("transform", ([i, j]) => `translate(${i * size},${j * size})`);

cell.append("rect")
.attr("fill", "none")
.attr("stroke", "#aaa")
.attr("x", padding / 2 + 0.5)
.attr("y", padding / 2 + 0.5)
.attr("width", size - padding)
.attr("height", size - padding);

cell.each(function([i, j]) {
d3.select(this).selectAll("circle")
.data(data.filter(d => !isNaN(d[columns[i]]) && !isNaN(d[columns[j]])))
.join("circle")
.attr("cx", d => x[i](d[columns[i]]))
.attr("cy", d => y[j](d[columns[j]]));
});

const circle = cell.selectAll("circle")
.attr("r", 3.5)
.attr("fill-opacity", 0.7)
.attr("fill", d => color(d.species));

svg.append("g")
.style("font", "bold 10px sans-serif")
.style("pointer-events", "none")
.selectAll("text")
.data(columns)
.join("text")
.attr("transform", (d, i) => `translate(${i * size},${i * size})`)
.attr("x", padding)
.attr("y", padding)
.attr("dy", ".71em")
.text(d => d);

return Object.assign(svg.node(), {scales: {color}});
}
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data = FileAttachment("penguins.csv").csv({typed: true})
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import {swatches} from "@d3/color-legend"
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