The scatterplot matrix visualizations pairwise correlations for multi-dimensional data; each cell in the matrix is a scatterplot. This example uses Anderson's data of iris flowers on the Gaspé Peninsula. Scatterplot matrix design invented by J. A. Hartigan; see also R and GGobi. Data on Iris flowers collected by Edgar Anderson and published by Ronald Fisher.
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| disp | hp | drat | species | |
|---|---|---|---|---|
| 160 | 110 | 3.9 | 6 | |
| 160 | 110 | 3.9 | 6 | |
| 108 | 93 | 3.85 | 4 | |
| 258 | 110 | 3.08 | 6 | |
| 360 | 175 | 3.15 | 8 | |
| 225 | 105 | 2.76 | 6 | |
| 360 | 245 | 3.21 | 8 | |
| 146.7 | 62 | 3.69 | 4 | |
| 140.8 | 95 | 3.92 | 4 | |
| 167.6 | 123 | 3.92 | 6 | |
| 167.6 | 123 | 3.92 | 6 | |
| 275.8 | 180 | 3.07 | 8 | |
| 275.8 | 180 | 3.07 | 8 | |
| 275.8 | 180 | 3.07 | 8 | |
| 472 | 205 | 2.93 | 8 | |
| 460 | 215 | 3 | 8 | |
| 440 | 230 | 3.23 | 8 | |
| 78.7 | 66 | 4.08 | 4 | |
| 75.7 | 52 | 4.93 | 4 | |
| 71.1 | 65 | 4.22 | 4 | |
| 120.1 | 97 | 3.7 | 4 | |
| 318 | 150 | 2.76 | 8 | |
| 304 | 150 | 3.15 | 8 | |
| 350 | 245 | 3.73 | 8 | |
| 400 | 175 | 3.08 | 8 | |
| 79 | 66 | 4.08 | 4 | |
| 120.3 | 91 | 4.43 | 4 | |
| 95.1 | 113 | 3.77 | 4 | |
| 351 | 264 | 4.22 | 8 | |
| 145 | 175 | 3.62 | 6 | |
| 301 | 335 | 3.54 | 8 | |
| 121 | 109 | 4.11 | 4 |
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| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| svg { | |
| font: 10px sans-serif; | |
| padding: 10px; | |
| } | |
| .axis, | |
| .frame { | |
| shape-rendering: crispEdges; | |
| } | |
| .axis line { | |
| stroke: #ddd; | |
| } | |
| .axis path { | |
| display: none; | |
| } | |
| .frame { | |
| fill: none; | |
| stroke: #aaa; | |
| } | |
| circle { | |
| fill-opacity: .7; | |
| } | |
| circle.hidden { | |
| fill: #ccc !important; | |
| } | |
| .extent { | |
| fill: #000; | |
| fill-opacity: .125; | |
| stroke: #fff; | |
| } | |
| </style> | |
| <body> | |
| <script src="http://d3js.org/d3.v3.min.js"></script> | |
| <script> | |
| var width = 960, | |
| size = 150, | |
| padding = 19.5; | |
| 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); | |
| var yAxis = d3.svg.axis() | |
| .scale(y) | |
| .orient("left") | |
| .ticks(5); | |
| var color = d3.scale.category10(); | |
| d3.csv("flowers.csv", function(error, data) { | |
| var domainByTrait = {}, | |
| traits = d3.keys(data[0]).filter(function(d) { return d !== "species"; }), | |
| n = traits.length; | |
| traits.forEach(function(trait) { | |
| domainByTrait[trait] = d3.extent(data, function(d) { return d[trait]; }); | |
| }); | |
| xAxis.tickSize(size * n); | |
| yAxis.tickSize(-size * n); | |
| var brush = d3.svg.brush() | |
| .x(x) | |
| .y(y) | |
| .on("brushstart", brushstart) | |
| .on("brush", brushmove) | |
| .on("brushend", brushend); | |
| 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]); 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", padding) | |
| .attr("y", padding) | |
| .attr("dy", ".71em") | |
| .text(function(d) { return d.x; }); | |
| function plot(p) { | |
| var cell = d3.select(this); | |
| x.domain(domainByTrait[p.x]); | |
| y.domain(domainByTrait[p.y]); | |
| cell.append("rect") | |
| .attr("class", "frame") | |
| .attr("x", padding / 2) | |
| .attr("y", padding / 2) | |
| .attr("width", size - padding) | |
| .attr("height", size - padding); | |
| cell.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", 3) | |
| .style("fill", function(d) { return color(d.species); }); | |
| cell.call(brush); | |
| } | |
| var brushCell; | |
| // Clear the previously-active brush, if any. | |
| function brushstart(p) { | |
| if (brushCell !== p) { | |
| cell.call(brush.clear()); | |
| x.domain(domainByTrait[p.x]); | |
| y.domain(domainByTrait[p.y]); | |
| brushCell = p; | |
| } | |
| } | |
| // Highlight the selected circles. | |
| function brushmove(p) { | |
| var e = brush.extent(); | |
| svg.selectAll("circle").classed("hidden", function(d) { | |
| return e[0][0] > d[p.x] || d[p.x] > e[1][0] | |
| || e[0][1] > d[p.y] || d[p.y] > e[1][1]; | |
| }); | |
| } | |
| // If the brush is empty, select all circles. | |
| function brushend() { | |
| if (brush.empty()) svg.selectAll(".hidden").classed("hidden", false); | |
| } | |
| 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; | |
| } | |
| d3.select(self.frameElement).style("height", size * n + padding + 20 + "px"); | |
| }); | |
| </script> |
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