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Naive Gaussian distributions in Javascript.
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Gaussian Distributions</title> | |
| <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script> | |
| <style> | |
| .chart div { | |
| background-color: steelblue; | |
| font: 10px sans-serif; | |
| border: 2px solid white; | |
| text-align: right; | |
| padding: 3px; | |
| color: white; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="chart"> | |
| </div> | |
| <script> | |
| var gaussian = function(m,v){ | |
| var sum = 0; | |
| for ( var i = 0; i < 1000; i++ ){ | |
| sum += Math.random(); | |
| } | |
| sum = sum/100; | |
| return m + Math.round(v*sum); | |
| } | |
| var data = []; | |
| for ( var i = 0; i < 10000; i++ ) { | |
| data[i] = gaussian(1200, 50); | |
| } | |
| var freq = {}; | |
| data.forEach(function(e){ | |
| if (!freq[e]) | |
| freq[e] = 1; | |
| else | |
| freq[e] += 1; | |
| }); | |
| var values = Object.keys(freq).sort(function(a,b){ return b - a; }); | |
| var max = 0; | |
| for ( var key in freq ) { | |
| if (freq[key] > max) | |
| max = freq[key] | |
| } | |
| var x = d3.scale.linear() | |
| .domain([0, max]) | |
| .range([0, 200]); | |
| d3.select(".chart") | |
| .selectAll("div") | |
| .data(values) | |
| .enter().append("div") | |
| .style("width", function(d) { return x(freq[d]) + "px"; }) | |
| .text(function(d) { return freq[d]; }); | |
| </script> | |
| </body> | |
| </html> |
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