Subversion Repositories SmartDukaan

Rev

Details | Last modification | View Log | RSS feed

Rev Author Line No. Line
3284 vikas 1 
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
2 
<html>
3 
 <head>
4 
    <meta http-equiv="Content-Type" content="text/html; charset=utf-8">
5 
    <title>Flot Examples</title>
6 
    <link href="layout.css" rel="stylesheet" type="text/css">
7 
    <!--[if lte IE 8]><script language="javascript" type="text/javascript" src="../excanvas.min.js"></script><![endif]-->
8 
    <script language="javascript" type="text/javascript" src="../jquery.js"></script>
9 
    <script language="javascript" type="text/javascript" src="../jquery.flot.js"></script>
10 
    <script language="javascript" type="text/javascript" src="../jquery.flot.fillbetween.js"></script>
11 
 </head>
12 
    <body>
13 
    <h1>Flot Examples</h1>
14 
 
15 
    <div id="placeholder" style="width:600px;height:400px;"></div>
16 
 
17 
    <p>Height in centimeters of individuals from the US (2003-2006) as function of
18 
    age in years (source: <a href="http://www.cdc.gov/nchs/data/nhsr/nhsr010.pdf">CDC</a>).
19 
    The 15%-85%, 25%-75% and 50% percentiles are indicated.</p>
20 
 
21 
    <p>For each point of a filled curve, you can specify an arbitrary
22 
    bottom. As this example illustrates, this can be useful for
23 
    plotting percentiles. If you have the data sets available without
24 
    appropriate fill bottoms, you can use the fillbetween plugin to
25 
    compute the data point bottoms automatically.</p>
26 
 
27 
<script type="text/javascript">
28 
$(function () {
29 
    var males = {'15%': [[2, 88.0], [3, 93.3], [4, 102.0], [5, 108.5], [6, 115.7], [7, 115.6], [8, 124.6], [9, 130.3], [10, 134.3], [11, 141.4], [12, 146.5], [13, 151.7], [14, 159.9], [15, 165.4], [16, 167.8], [17, 168.7], [18, 169.5], [19, 168.0]], '90%': [[2, 96.8], [3, 105.2], [4, 113.9], [5, 120.8], [6, 127.0], [7, 133.1], [8, 139.1], [9, 143.9], [10, 151.3], [11, 161.1], [12, 164.8], [13, 173.5], [14, 179.0], [15, 182.0], [16, 186.9], [17, 185.2], [18, 186.3], [19, 186.6]], '25%': [[2, 89.2], [3, 94.9], [4, 104.4], [5, 111.4], [6, 117.5], [7, 120.2], [8, 127.1], [9, 132.9], [10, 136.8], [11, 144.4], [12, 149.5], [13, 154.1], [14, 163.1], [15, 169.2], [16, 170.4], [17, 171.2], [18, 172.4], [19, 170.8]], '10%': [[2, 86.9], [3, 92.6], [4, 99.9], [5, 107.0], [6, 114.0], [7, 113.5], [8, 123.6], [9, 129.2], [10, 133.0], [11, 140.6], [12, 145.2], [13, 149.7], [14, 158.4], [15, 163.5], [16, 166.9], [17, 167.5], [18, 167.1], [19, 165.3]], 'mean': [[2, 91.9], [3, 98.5], [4, 107.1], [5, 114.4], [6, 120.6], [7, 124.7], [8, 131.1], [9, 136.8], [10, 142.3], [11, 150.0], [12, 154.7], [13, 161.9], [14, 168.7], [15, 173.6], [16, 175.9], [17, 176.6], [18, 176.8], [19, 176.7]], '75%': [[2, 94.5], [3, 102.1], [4, 110.8], [5, 117.9], [6, 124.0], [7, 129.3], [8, 134.6], [9, 141.4], [10, 147.0], [11, 156.1], [12, 160.3], [13, 168.3], [14, 174.7], [15, 178.0], [16, 180.2], [17, 181.7], [18, 181.3], [19, 182.5]], '85%': [[2, 96.2], [3, 103.8], [4, 111.8], [5, 119.6], [6, 125.6], [7, 131.5], [8, 138.0], [9, 143.3], [10, 149.3], [11, 159.8], [12, 162.5], [13, 171.3], [14, 177.5], [15, 180.2], [16, 183.8], [17, 183.4], [18, 183.5], [19, 185.5]], '50%': [[2, 91.9], [3, 98.2], [4, 106.8], [5, 114.6], [6, 120.8], [7, 125.2], [8, 130.3], [9, 137.1], [10, 141.5], [11, 149.4], [12, 153.9], [13, 162.2], [14, 169.0], [15, 174.8], [16, 176.0], [17, 176.8], [18, 176.4], [19, 177.4]]};
30 
    var females = {'15%': [[2, 84.8], [3, 93.7], [4, 100.6], [5, 105.8], [6, 113.3], [7, 119.3], [8, 124.3], [9, 131.4], [10, 136.9], [11, 143.8], [12, 149.4], [13, 151.2], [14, 152.3], [15, 155.9], [16, 154.7], [17, 157.0], [18, 156.1], [19, 155.4]], '90%': [[2, 95.6], [3, 104.1], [4, 111.9], [5, 119.6], [6, 127.6], [7, 133.1], [8, 138.7], [9, 147.1], [10, 152.8], [11, 161.3], [12, 166.6], [13, 167.9], [14, 169.3], [15, 170.1], [16, 172.4], [17, 169.2], [18, 171.1], [19, 172.4]], '25%': [[2, 87.2], [3, 95.9], [4, 101.9], [5, 107.4], [6, 114.8], [7, 121.4], [8, 126.8], [9, 133.4], [10, 138.6], [11, 146.2], [12, 152.0], [13, 153.8], [14, 155.7], [15, 158.4], [16, 157.0], [17, 158.5], [18, 158.4], [19, 158.1]], '10%': [[2, 84.0], [3, 91.9], [4, 99.2], [5, 105.2], [6, 112.7], [7, 118.0], [8, 123.3], [9, 130.2], [10, 135.0], [11, 141.1], [12, 148.3], [13, 150.0], [14, 150.7], [15, 154.3], [16, 153.6], [17, 155.6], [18, 154.7], [19, 153.1]], 'mean': [[2, 90.2], [3, 98.3], [4, 105.2], [5, 112.2], [6, 119.0], [7, 125.8], [8, 131.3], [9, 138.6], [10, 144.2], [11, 151.3], [12, 156.7], [13, 158.6], [14, 160.5], [15, 162.1], [16, 162.9], [17, 162.2], [18, 163.0], [19, 163.1]], '75%': [[2, 93.2], [3, 101.5], [4, 107.9], [5, 116.6], [6, 122.8], [7, 129.3], [8, 135.2], [9, 143.7], [10, 148.7], [11, 156.9], [12, 160.8], [13, 163.0], [14, 165.0], [15, 165.8], [16, 168.7], [17, 166.2], [18, 167.6], [19, 168.0]], '85%': [[2, 94.5], [3, 102.8], [4, 110.4], [5, 119.0], [6, 125.7], [7, 131.5], [8, 137.9], [9, 146.0], [10, 151.3], [11, 159.9], [12, 164.0], [13, 166.5], [14, 167.5], [15, 168.5], [16, 171.5], [17, 168.0], [18, 169.8], [19, 170.3]], '50%': [[2, 90.2], [3, 98.1], [4, 105.2], [5, 111.7], [6, 118.2], [7, 125.6], [8, 130.5], [9, 138.3], [10, 143.7], [11, 151.4], [12, 156.7], [13, 157.7], [14, 161.0], [15, 162.0], [16, 162.8], [17, 162.2], [18, 162.8], [19, 163.3]]};
31 
 
32 
    var dataset = [
33 
       { label: 'Female mean', data: females['mean'], lines: { show: true }, color: "rgb(255,50,50)" },
34 
       { id: 'f15%', data: females['15%'], lines: { show: true, lineWidth: 0, fill: false }, color: "rgb(255,50,50)" },
35 
       { id: 'f25%', data: females['25%'], lines: { show: true, lineWidth: 0, fill: 0.2 }, color: "rgb(255,50,50)", fillBetween: 'f15%' },
36 
       { id: 'f50%', data: females['50%'], lines: { show: true, lineWidth: 0.5, fill: 0.4, shadowSize: 0 }, color: "rgb(255,50,50)", fillBetween: 'f25%' },
37 
       { id: 'f75%', data: females['75%'], lines: { show: true, lineWidth: 0, fill: 0.4 }, color: "rgb(255,50,50)", fillBetween: 'f50%' },
38 
       { id: 'f85%', data: females['85%'], lines: { show: true, lineWidth: 0, fill: 0.2 }, color: "rgb(255,50,50)", fillBetween: 'f75%' },
39 
 
40 
       { label: 'Male mean', data: males['mean'], lines: { show: true }, color: "rgb(50,50,255)" },
41 
       { id: 'm15%', data: males['15%'], lines: { show: true, lineWidth: 0, fill: false }, color: "rgb(50,50,255)" },
42 
       { id: 'm25%', data: males['25%'], lines: { show: true, lineWidth: 0, fill: 0.2 }, color: "rgb(50,50,255)", fillBetween: 'm15%' },
43 
       { id: 'm50%', data: males['50%'], lines: { show: true, lineWidth: 0.5, fill: 0.4, shadowSize: 0 }, color: "rgb(50,50,255)", fillBetween: 'm25%' },
44 
       { id: 'm75%', data: males['75%'], lines: { show: true, lineWidth: 0, fill: 0.4 }, color: "rgb(50,50,255)", fillBetween: 'm50%' },
45 
       { id: 'm85%', data: males['85%'], lines: { show: true, lineWidth: 0, fill: 0.2 }, color: "rgb(50,50,255)", fillBetween: 'm75%' }
46 
    ]
47 
 
48 
    $.plot($("#placeholder"), dataset, {
49 
            xaxis: { tickDecimals: 0 },
50 
            yaxis: { tickFormatter: function (v) { return v + " cm"; } },
51 
            legend: { position: 'se' }
52 
        });
53 
});
54 
</script>
55 
 
56 
 </body>
57 
</html>