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<!DOCTYPE html> |
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<meta charset="utf-8"> |
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<style> |
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svg { |
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font: 10px sans-serif; |
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padding: 10px; |
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} |
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.axis, |
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.frame { |
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shape-rendering: crispEdges; |
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} |
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.axis line { |
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stroke: #ddd; |
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} |
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.axis path { |
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display: none; |
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} |
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.frame { |
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fill: none; |
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stroke: #aaa; |
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} |
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circle { |
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fill-opacity: .7; |
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} |
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</style> |
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<body> |
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<script src="//d3js.org/d3.v3.min.js"></script> |
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<script> |
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var width = 960, |
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size = 150, |
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padding = 19.5; |
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var x = d3.scale.linear() |
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.range([padding / 2, size - padding / 2]); |
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var y = d3.scale.linear() |
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.range([size - padding / 2, padding / 2]); |
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var xAxis = d3.svg.axis() |
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.scale(x) |
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.orient("bottom") |
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.ticks(5); |
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var yAxis = d3.svg.axis() |
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.scale(y) |
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.orient("left") |
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.ticks(5); |
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var color = d3.scale.category10(); |
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d3.csv("flowers.csv", function(error, inputCSV) { |
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if (error) throw error; |
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var domainByTrait = {}, |
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traits = d3.keys(inputCSV[0]).filter(function(d) { return d !== "species"; }), |
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n = traits.length; |
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//traits = array of traits aka all keys |
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//except for species |
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//n = size of traits array |
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//in this case the size is 4 |
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traits.forEach(function(trait) { |
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domainByTrait[trait] = d3.extent(inputCSV, function(d) { return d[trait]; }); |
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}); |
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//domain by traits = array of arrays, has two |
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//linked values- 0 and 1 with min mapped to 0 |
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//and max mapped to 1 |
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xAxis.tickSize(size * n); |
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yAxis.tickSize(-size * n); |
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console.log("size",size); |
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var svg = d3.select("body").append("svg") |
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.attr("width", size * n + padding) |
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.attr("height", size * n + padding) |
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.append("g") |
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.attr("transform", "translate(" + padding + "," + padding / 2 + ")"); |
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svg.selectAll(".x.axis") |
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.data(traits) |
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.enter().append("g") |
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.attr("class", "x axis") |
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.attr("transform", function(d, i) { return "translate(" + (n - i - 1) * size + ",0)"; }) |
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.each(function(d) { x.domain(domainByTrait[d]); d3.select(this).call(xAxis); }); |
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svg.selectAll(".y.axis") |
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.data(traits) |
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.enter().append("g") |
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.attr("class", "y axis") |
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.attr("transform", function(d, i) { return "translate(0," + i * size + ")"; }) |
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.each(function(d) { y.domain(domainByTrait[d]); d3.select(this).call(yAxis); }); |
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var cell = svg.selectAll(".cell") |
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.data(cross(traits, traits)) |
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.enter().append("g") |
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.attr("class", "cell") |
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.attr("transform", function(d) { return "translate(" + (n - d.i - 1) * size + "," + d.j * size + ")"; }) |
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.each(plot); |
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// Titles for the diagonal. |
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cell.filter(function(d) { return d.i === d.j; }).append("text") |
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.attr("x", padding) |
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.attr("y", padding) |
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.attr("dy", ".71em") |
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.text(function(d) { return d.x; }); |
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function plot(p) { |
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var cell = d3.select(this); |
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x.domain(domainByTrait[p.x]); |
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y.domain(domainByTrait[p.y]); |
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cell.append("rect") |
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.attr("class", "frame") |
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.attr("x", padding / 2) |
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.attr("y", padding / 2) |
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.attr("width", size - padding) |
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.attr("height", size - padding); |
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cell.selectAll("circle") |
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.data(inputCSV) |
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.enter().append("circle") |
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.attr("cx", function(d) { return x(d[p.x]); }) |
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.attr("cy", function(d) { return y(d[p.y]); }) |
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.attr("r", 3) |
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.style("fill", function(d) { return color(d.species); }); |
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} |
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function cross(a, b) { |
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var c = [], n = a.length, m = b.length, i, j; |
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for (i = -1; ++i < n;) for (j = -1; ++j < m;) c.push({x: a[i], i: i, y: b[j], j: j}); |
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return c; |
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} |
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d3.select(self.frameElement).style("height", size * n + padding + 20 + "px"); |
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}); |
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</script> |