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<!DOCTYPE html> |
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<html> |
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<meta charset="utf-8"> |
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<head> |
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<script src="http://d3js.org/d3.v3.min.js"></script> |
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<style type="text/css"> |
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body { |
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font: 10px sans-serif; |
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} |
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.bar rect { |
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fill: steelblue; |
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shape-rendering: crispEdges; |
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} |
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.bar text { |
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fill: #fff; |
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} |
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.axis path, .axis line { |
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fill: none; |
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stroke: #000; |
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shape-rendering: crispEdges; |
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} |
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</style> |
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</head> |
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<body> |
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<div style="width: 500px; height; 500px; position: absolute; top: 150px; background-color: red"></div> |
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<script type="text/javascript"> |
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d3.csv("random.csv", function(error, values){ |
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var dataArray =[]; |
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values.forEach(function (d,i) { |
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dataArray[i] = +d.x |
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}); |
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// trim outliers |
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var trimmed = chauvenet(dataArray); |
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var margin = {top: 10, right: 30, bottom: 30, left: 30}, |
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width = 960 - margin.left - margin.right, |
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height = 500 - margin.top - margin.bottom; |
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var x = d3.scale.linear() |
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.domain(d3.extent(trimmed)) |
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.range([0, width]); |
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// Generate a histogram using twenty uniformly-spaced bins. |
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var data = d3.layout.histogram() |
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.bins(x.ticks(20))(trimmed); |
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var y = d3.scale.linear() |
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.domain([0, d3.max(data, function(d) { return d.y; })]) |
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.range([height, 0]); |
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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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var svg = d3.select("body").append("svg") |
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.attr("width", width + margin.left + margin.right) |
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.attr("height", height + margin.top + margin.bottom) |
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.append("g") |
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.attr("transform", "translate(" + margin.left + "," + margin.top + ")"); |
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var bar = svg.selectAll(".bar") |
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.data(data) |
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.enter().append("g") |
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.attr("class", "bar") |
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.attr("transform", function(d) { return "translate(" + x(d.x) + "," + y(d.y) + ")"; }); |
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bar.append("rect") |
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.attr("x", 1) |
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.attr("width", function (d,i) { return x(data[i].dx + d3.min(trimmed)) - 1; }) |
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.attr("height", function(d) { return height - y(d.y); }); |
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bar.append("text") |
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.attr("dy", ".75em") |
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.attr("y", 6) |
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.attr("x", x(data[0].dx + d3.min(trimmed)) / 2) |
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.attr("text-anchor", "middle") |
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.text(function(d) { return formatCount(d.y); }); |
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svg.append("g") |
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.attr("class", "x axis") |
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.attr("transform", "translate(0," + height + ")") |
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.call(xAxis); |
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}); |
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// Borrowed from Jason Davies science library https://github.com/jasondavies/science.js/blob/master/science.v1.js |
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variance = function(x) { |
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var n = x.length; |
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if (n < 1) return NaN; |
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if (n === 1) return 0; |
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var mean = d3.mean(x), |
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i = -1, |
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s = 0; |
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while (++i < n) { |
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var v = x[i] - mean; |
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s += v * v; |
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} |
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return s / (n - 1); |
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}; |
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//A test for outliers http://en.wikipedia.org/wiki/Chauvenet%27s_criterion |
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function chauvenet (x) { |
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var dMax = 3; |
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var mean = d3.mean(x); |
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var stdv = Math.sqrt(variance(x)); |
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var counter = 0; |
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var temp = []; |
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for (var i = 0; i < x.length; i++) { |
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if(dMax > (Math.abs(x[i] - mean))/stdv) { |
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temp[counter] = x[i]; |
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counter = counter + 1; |
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} |
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}; |
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return temp |
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} |
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</script> |
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</body> |
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</html> |
