| license: gpl-3.0 | |
| border: no | |
| height: 960 |
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.
See also this simpler static version without brushing.
forked from mbostock's block: Scatterplot Matrix Brushing
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| {"name":"Cancel", "documentation":5, "impact":4, "actors":9}, | |
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| sepal length | sepal width | petal length | petal width | species | |
|---|---|---|---|---|---|
| 5.1 | 3.5 | 1.4 | 0.2 | setosa | |
| 4.9 | 3.0 | 1.4 | 0.2 | setosa | |
| 4.7 | 3.2 | 1.3 | 0.2 | setosa | |
| 4.6 | 3.1 | 1.5 | 0.2 | setosa | |
| 5.0 | 3.6 | 1.4 | 0.2 | setosa | |
| 5.4 | 3.9 | 1.7 | 0.4 | setosa | |
| 4.6 | 3.4 | 1.4 | 0.3 | setosa | |
| 5.0 | 3.4 | 1.5 | 0.2 | setosa | |
| 4.4 | 2.9 | 1.4 | 0.2 | setosa | |
| 4.9 | 3.1 | 1.5 | 0.1 | setosa | |
| 5.4 | 3.7 | 1.5 | 0.2 | setosa | |
| 4.8 | 3.4 | 1.6 | 0.2 | setosa | |
| 4.8 | 3.0 | 1.4 | 0.1 | setosa | |
| 4.3 | 3.0 | 1.1 | 0.1 | setosa | |
| 5.8 | 4.0 | 1.2 | 0.2 | setosa | |
| 5.7 | 4.4 | 1.5 | 0.4 | setosa | |
| 5.4 | 3.9 | 1.3 | 0.4 | setosa | |
| 5.1 | 3.5 | 1.4 | 0.3 | setosa | |
| 5.7 | 3.8 | 1.7 | 0.3 | setosa | |
| 5.1 | 3.8 | 1.5 | 0.3 | setosa | |
| 5.4 | 3.4 | 1.7 | 0.2 | setosa | |
| 5.1 | 3.7 | 1.5 | 0.4 | setosa | |
| 4.6 | 3.6 | 1.0 | 0.2 | setosa | |
| 5.1 | 3.3 | 1.7 | 0.5 | setosa | |
| 4.8 | 3.4 | 1.9 | 0.2 | setosa | |
| 5.0 | 3.0 | 1.6 | 0.2 | setosa | |
| 5.0 | 3.4 | 1.6 | 0.4 | setosa | |
| 5.2 | 3.5 | 1.5 | 0.2 | setosa | |
| 5.2 | 3.4 | 1.4 | 0.2 | setosa | |
| 4.7 | 3.2 | 1.6 | 0.2 | setosa | |
| 4.8 | 3.1 | 1.6 | 0.2 | setosa | |
| 5.4 | 3.4 | 1.5 | 0.4 | setosa | |
| 5.2 | 4.1 | 1.5 | 0.1 | setosa | |
| 5.5 | 4.2 | 1.4 | 0.2 | setosa | |
| 4.9 | 3.1 | 1.5 | 0.2 | setosa | |
| 5.0 | 3.2 | 1.2 | 0.2 | setosa | |
| 5.5 | 3.5 | 1.3 | 0.2 | setosa | |
| 4.9 | 3.6 | 1.4 | 0.1 | setosa | |
| 4.4 | 3.0 | 1.3 | 0.2 | setosa | |
| 5.1 | 3.4 | 1.5 | 0.2 | setosa | |
| 5.0 | 3.5 | 1.3 | 0.3 | setosa | |
| 4.5 | 2.3 | 1.3 | 0.3 | setosa | |
| 4.4 | 3.2 | 1.3 | 0.2 | setosa | |
| 5.0 | 3.5 | 1.6 | 0.6 | setosa | |
| 5.1 | 3.8 | 1.9 | 0.4 | setosa | |
| 4.8 | 3.0 | 1.4 | 0.3 | setosa | |
| 5.1 | 3.8 | 1.6 | 0.2 | setosa | |
| 4.6 | 3.2 | 1.4 | 0.2 | setosa | |
| 5.3 | 3.7 | 1.5 | 0.2 | setosa | |
| 5.0 | 3.3 | 1.4 | 0.2 | setosa | |
| 7.0 | 3.2 | 4.7 | 1.4 | versicolor | |
| 6.4 | 3.2 | 4.5 | 1.5 | versicolor | |
| 6.9 | 3.1 | 4.9 | 1.5 | versicolor | |
| 5.5 | 2.3 | 4.0 | 1.3 | versicolor | |
| 6.5 | 2.8 | 4.6 | 1.5 | versicolor | |
| 5.7 | 2.8 | 4.5 | 1.3 | versicolor | |
| 6.3 | 3.3 | 4.7 | 1.6 | versicolor | |
| 4.9 | 2.4 | 3.3 | 1.0 | versicolor | |
| 6.6 | 2.9 | 4.6 | 1.3 | versicolor | |
| 5.2 | 2.7 | 3.9 | 1.4 | versicolor | |
| 5.0 | 2.0 | 3.5 | 1.0 | versicolor | |
| 5.9 | 3.0 | 4.2 | 1.5 | versicolor | |
| 6.0 | 2.2 | 4.0 | 1.0 | versicolor | |
| 6.1 | 2.9 | 4.7 | 1.4 | versicolor | |
| 5.6 | 2.9 | 3.6 | 1.3 | versicolor | |
| 6.7 | 3.1 | 4.4 | 1.4 | versicolor | |
| 5.6 | 3.0 | 4.5 | 1.5 | versicolor | |
| 5.8 | 2.7 | 4.1 | 1.0 | versicolor | |
| 6.2 | 2.2 | 4.5 | 1.5 | versicolor | |
| 5.6 | 2.5 | 3.9 | 1.1 | versicolor | |
| 5.9 | 3.2 | 4.8 | 1.8 | versicolor | |
| 6.1 | 2.8 | 4.0 | 1.3 | versicolor | |
| 6.3 | 2.5 | 4.9 | 1.5 | versicolor | |
| 6.1 | 2.8 | 4.7 | 1.2 | versicolor | |
| 6.4 | 2.9 | 4.3 | 1.3 | versicolor | |
| 6.6 | 3.0 | 4.4 | 1.4 | versicolor | |
| 6.8 | 2.8 | 4.8 | 1.4 | versicolor | |
| 6.7 | 3.0 | 5.0 | 1.7 | versicolor | |
| 6.0 | 2.9 | 4.5 | 1.5 | versicolor | |
| 5.7 | 2.6 | 3.5 | 1.0 | versicolor | |
| 5.5 | 2.4 | 3.8 | 1.1 | versicolor | |
| 5.5 | 2.4 | 3.7 | 1.0 | versicolor | |
| 5.8 | 2.7 | 3.9 | 1.2 | versicolor | |
| 6.0 | 2.7 | 5.1 | 1.6 | versicolor | |
| 5.4 | 3.0 | 4.5 | 1.5 | versicolor | |
| 6.0 | 3.4 | 4.5 | 1.6 | versicolor | |
| 6.7 | 3.1 | 4.7 | 1.5 | versicolor | |
| 6.3 | 2.3 | 4.4 | 1.3 | versicolor | |
| 5.6 | 3.0 | 4.1 | 1.3 | versicolor | |
| 5.5 | 2.5 | 4.0 | 1.3 | versicolor | |
| 5.5 | 2.6 | 4.4 | 1.2 | versicolor | |
| 6.1 | 3.0 | 4.6 | 1.4 | versicolor | |
| 5.8 | 2.6 | 4.0 | 1.2 | versicolor | |
| 5.0 | 2.3 | 3.3 | 1.0 | versicolor | |
| 5.6 | 2.7 | 4.2 | 1.3 | versicolor | |
| 5.7 | 3.0 | 4.2 | 1.2 | versicolor | |
| 5.7 | 2.9 | 4.2 | 1.3 | versicolor | |
| 6.2 | 2.9 | 4.3 | 1.3 | versicolor | |
| 5.1 | 2.5 | 3.0 | 1.1 | versicolor | |
| 5.7 | 2.8 | 4.1 | 1.3 | versicolor | |
| 6.3 | 3.3 | 6.0 | 2.5 | virginica | |
| 5.8 | 2.7 | 5.1 | 1.9 | virginica | |
| 7.1 | 3.0 | 5.9 | 2.1 | virginica | |
| 6.3 | 2.9 | 5.6 | 1.8 | virginica | |
| 6.5 | 3.0 | 5.8 | 2.2 | virginica | |
| 7.6 | 3.0 | 6.6 | 2.1 | virginica | |
| 4.9 | 2.5 | 4.5 | 1.7 | virginica | |
| 7.3 | 2.9 | 6.3 | 1.8 | virginica | |
| 6.7 | 2.5 | 5.8 | 1.8 | virginica | |
| 7.2 | 3.6 | 6.1 | 2.5 | virginica | |
| 6.5 | 3.2 | 5.1 | 2.0 | virginica | |
| 6.4 | 2.7 | 5.3 | 1.9 | virginica | |
| 6.8 | 3.0 | 5.5 | 2.1 | virginica | |
| 5.7 | 2.5 | 5.0 | 2.0 | virginica | |
| 5.8 | 2.8 | 5.1 | 2.4 | virginica | |
| 6.4 | 3.2 | 5.3 | 2.3 | virginica | |
| 6.5 | 3.0 | 5.5 | 1.8 | virginica | |
| 7.7 | 3.8 | 6.7 | 2.2 | virginica | |
| 7.7 | 2.6 | 6.9 | 2.3 | virginica | |
| 6.0 | 2.2 | 5.0 | 1.5 | virginica | |
| 6.9 | 3.2 | 5.7 | 2.3 | virginica | |
| 5.6 | 2.8 | 4.9 | 2.0 | virginica | |
| 7.7 | 2.8 | 6.7 | 2.0 | virginica | |
| 6.3 | 2.7 | 4.9 | 1.8 | virginica | |
| 6.7 | 3.3 | 5.7 | 2.1 | virginica | |
| 7.2 | 3.2 | 6.0 | 1.8 | virginica | |
| 6.2 | 2.8 | 4.8 | 1.8 | virginica | |
| 6.1 | 3.0 | 4.9 | 1.8 | virginica | |
| 6.4 | 2.8 | 5.6 | 2.1 | virginica | |
| 7.2 | 3.0 | 5.8 | 1.6 | virginica | |
| 7.4 | 2.8 | 6.1 | 1.9 | virginica | |
| 7.9 | 3.8 | 6.4 | 2.0 | virginica | |
| 6.4 | 2.8 | 5.6 | 2.2 | virginica | |
| 6.3 | 2.8 | 5.1 | 1.5 | virginica | |
| 6.1 | 2.6 | 5.6 | 1.4 | virginica | |
| 7.7 | 3.0 | 6.1 | 2.3 | virginica | |
| 6.3 | 3.4 | 5.6 | 2.4 | virginica | |
| 6.4 | 3.1 | 5.5 | 1.8 | virginica | |
| 6.0 | 3.0 | 4.8 | 1.8 | virginica | |
| 6.9 | 3.1 | 5.4 | 2.1 | virginica | |
| 6.7 | 3.1 | 5.6 | 2.4 | virginica | |
| 6.9 | 3.1 | 5.1 | 2.3 | virginica | |
| 5.8 | 2.7 | 5.1 | 1.9 | virginica | |
| 6.8 | 3.2 | 5.9 | 2.3 | virginica | |
| 6.7 | 3.3 | 5.7 | 2.5 | virginica | |
| 6.7 | 3.0 | 5.2 | 2.3 | virginica | |
| 6.3 | 2.5 | 5.0 | 1.9 | virginica | |
| 6.5 | 3.0 | 5.2 | 2.0 | virginica | |
| 6.2 | 3.4 | 5.4 | 2.3 | virginica | |
| 5.9 | 3.0 | 5.1 | 1.8 | virginica |
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <body> | |
| <script src="//d3js.org/d3.v4.js"></script> | |
| <script> | |
| var width = 960, | |
| size = 100, | |
| padding = 20; | |
| var x = d3.scaleLinear() | |
| .range([padding / 2, size - padding / 2]) | |
| .domain([0,10]); | |
| var y = d3.scaleLinear() | |
| .range([size - padding / 2, padding / 2]) | |
| .domain([0,10]); | |
| var color = d3.scaleOrdinal(d3.schemeCategory20); | |
| //d3.csv("flowers.csv", function(error, data) { | |
| d3.json("data.json", function(error, data) { | |
| if (error) throw error; | |
| var domainByTrait = {}, | |
| traits = d3.keys(data[0]).filter(function(d) { return d !== "name"; }), | |
| n = traits.length; | |
| traits.forEach(function(trait) { | |
| domainByTrait[trait] = d3.extent(data, function(d) { return d[trait]; }); | |
| }); | |
| var value=size*n; | |
| var xAxis = d3.axisBottom(x) | |
| .tickSize(value); | |
| var yAxis = d3.axisLeft(y).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([0,10]); 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([0,10]); 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; }); | |
| svg.selectAll(".axis line") | |
| .attr("stroke","#ddd"); | |
| svg.selectAll(".axis path") | |
| .attr("display","none"); | |
| function plot(p) { | |
| console.log(this); | |
| var cell = d3.select(this); | |
| cell.append("rect") | |
| .attr("class", "frame") | |
| .attr("x", padding / 2) | |
| .attr("y", padding / 2) | |
| .attr("width", size - padding) | |
| .attr("height", size - padding) | |
| .attr("fill","none") | |
| .attr("stroke","#aaa"); | |
| 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", 4) | |
| .style("fill", function(d) { return color(d.name); }); | |
| } | |
| }); | |
| 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> |