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Scatterplot Matrix D3
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<!DOCTYPE html> <meta charset="utf-8"> <style> svg { font: 10px sans-serif; padding: 12px; } .axis, .frame { shape-rendering: crispEdges; } .axis line { stroke: #e8e8e8; } .axis path { display: none; } .axis text { fill: #999; } .cell text { font-weight: bold; text-transform: capitalize; font-size: 15px; fill: #222; } .frame { fill: none; stroke: #aaa; } .diagonal { stroke: none; fill: #fff; fill-opacity: 0.8; } circle { fill-opacity: .7; } circle.hidden { fill: #ccc !important; } .extent { fill: #000; fill-opacity: .125; stroke: #fff; } </style> <body> <script src="//d3js.org/d3.v3.min.js"></script> <script> var traits = ["Masters", "Employed", "Bachelors"], n = traits.length; var width = 1000, size = (width / n) - 12, padding = 30; var x = d3.scale.linear() .range([padding / 2, size - padding / 2]); var y = d3.scale.linear() .range([size - padding / 2, padding / 2]); var xAxis = d3.svg.axis() .scale(x) .orient("bottom") .ticks(5) .tickFormat(d3.format("d")); var yAxis = d3.svg.axis() .scale(y) .orient("left") .ticks(5) .tickFormat(d3.format("d"));; var color = d3.scale.category10(); d3.csv("graduates.csv", function(error, data) { if (error) throw error; data.forEach(function(d) { traits.forEach(function(trait) { return d[trait] = +d[trait]; }); }); var domainByTrait = {}; traits.forEach(function(trait) { domainByTrait[trait] = d3.extent(data, function(d) { return d[trait]; }); }); xAxis.tickSize(size * n); yAxis.tickSize(-size * n); var svg = d3.select("body").append("svg") .attr("width", size * n + padding) .attr("height", size * n + padding) .append("g") .attr("transform", "translate(" + padding + "," + padding / 2 + ")"); svg.selectAll(".x.axis") .data(traits) .enter().append("g") .attr("class", "x axis") .attr("transform", function(d, i) { return "translate(" + (n - i - 1) * size + ",0)"; }) .each(function(d) { x.domain(domainByTrait[d]).nice(); d3.select(this).call(xAxis); }); svg.selectAll(".y.axis") .data(traits) .enter().append("g") .attr("class", "y axis") .attr("transform", function(d, i) { return "translate(0," + i * size + ")"; }) .each(function(d) { y.domain(domainByTrait[d]); d3.select(this).call(yAxis); }); var cell = svg.selectAll(".cell") .data(cross(traits, traits)) .enter().append("g") .attr("class", "cell") .attr("transform", function(d) { return "translate(" + (n - d.i - 1) * size + "," + d.j * size + ")"; }) .each(plot); // Titles for the diagonal. cell.filter(function(d) { return d.i === d.j; }).append("text") .attr("x", size/2) .attr("y", size/2) .attr("text-anchor", "middle") .text(function(d) { return d.x; }); //cell.call(brush); function plot(p) { var cell = d3.select(this); x.domain(domainByTrait[p.x]); y.domain(domainByTrait[p.y]); cell.append("rect") .attr("class", "frame") .classed("diagonal", function(d) {return d.i === d.j; }) .attr("x", padding / 2) .attr("y", padding / 2) .attr("width", size - padding) .attr("height", size - padding); cell.filter(function(d) {return d.i !== d.j; }) // hide diagonal marks .selectAll("circle") .data(data) .enter().append("circle") .attr("cx", function(d) { return x(d[p.x]); }) .attr("cy", function(d) { return y(d[p.y]); }) .attr("r", 2.5) .style("fill", function(d) { return color(d["Major"]); }); } }); function cross(a, b) { var c = [], n = a.length, m = b.length, i, j; for (i = -1; ++i < n;) for (j = -1; ++j < m;) c.push({x: a[i], i: i, y: b[j], j: j}); return c; } </script>
https://d3js.org/d3.v3.min.js