mirror of
https://github.com/gwenhael-le-moine/ledgerrb.git
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89 lines
1.8 KiB
HTML
89 lines
1.8 KiB
HTML
<!DOCTYPE html>
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<head>
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<meta charset="utf-8">
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<link href="../build/nv.d3.css" rel="stylesheet" type="text/css">
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<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.2/d3.min.js" charset="utf-8"></script>
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<script src="../build/nv.d3.js"></script>
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<style>
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text {
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font: 12px sans-serif;
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}
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svg {
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display: block;
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}
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html, body, #chart1, svg {
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margin: 0px;
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padding: 0px;
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height: 100%;
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width: 100%;
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}
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</style>
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</head>
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<body>
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<div class="gallery" id="chart1">
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<svg></svg>
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</div>
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<script>
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nv.addGraph(function() {
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var chart = nv.models.boxPlotChart()
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.x(function(d) { return d.label })
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.staggerLabels(true)
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.maxBoxWidth(75) // prevent boxes from being incredibly wide
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.yDomain([0, 500])
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;
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d3.select('#chart1 svg')
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.datum(exampleData())
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.call(chart);
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nv.utils.windowResize(chart.update);
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return chart;
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});
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function exampleData() {
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return [
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{
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label: "Sample A",
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values: {
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Q1: 120,
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Q2: 150,
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Q3: 200,
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whisker_low: 115,
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whisker_high: 210,
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outliers: [50, 100, 225]
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},
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},
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{
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label: "Sample B",
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values: {
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Q1: 300,
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Q2: 350,
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Q3: 400,
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whisker_low: 225,
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whisker_high: 425,
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outliers: [175]
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},
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},
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{
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label: "Sample C",
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values: {
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Q1: 50,
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Q2: 100,
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Q3: 125,
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whisker_low: 25,
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whisker_high: 175,
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outliers: [0]
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},
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}
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];
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}
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</script>
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</body>
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</html>
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