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Created August 27, 2016 19:55
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nate central limit theorem demo
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.block
license: mit
Raw
index.html
<!DOCTYPE html>
<head>
<!-- trying to demo what they did here with Java: http://onlinestatbook.com/2/sampling_distributions/clt_demo.html Except without Java -->
<meta charset="utf-8"><!-- Load c3.css -->
<link href="http://c3js.org/css/c3-b03125fa.css" rel="stylesheet" type="text/css">
<!-- Load d3.js and c3.js -->
<script src="https://d3js.org/d3.v3.min.js"></script>
<script src="http://c3js.org/js/c3.min-4c5bef8f.js"></script>
</head>
<body>
<div id="chart"><div>
<script>
var s_dist = [2, 1, 9, 31, 64, 148, 243, 339, 483, 608, 700, 774, 774, 754, 757, 735, 621, 566, 447, 403, 289, 247, 234, 166, 141, 104, 95, 65, 38, 36, 23, 27, 25, 11, 7, 4, 7, 7, 6, 3, 1, 2, 0, 2, 0, 0, 0, 1];
var s_dist_2 = [1, 0, 3, 10, 19, 23, 32, 35, 56, 68, 89, 63, 75, 70, 74, 63, 77, 47, 50, 28, 24, 26, 14, 9, 10, 6, 9, 5, 3, 5, 1, 1, 0, 0, 0, 1, 3];
var pop_dist = [66, 3282, 12001, 17291, 17261, 14191, 10737, 7819, 5324, 3733, 2530, 1764, 1171, 811, 554, 412, 296, 224, 144, 115, 72, 43, 45, 31, 26, 10, 10, 12, 5, 4, 7, 2, 2, 2, 0, 0, 1, 1, 0, 0, 1];
var chart = c3.generate({
data: {
columns: [
['data1'].concat(pop_dist),
//['data2', 130, 100, 140, 200, 150, 50]
],
type: 'bar'
},
bar: {
width: {
ratio: 0.90 // this makes bar width 50% of length between ticks
}
// or
//width: 100 // this makes bar width 100px
}
});
</script>
</body>
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