/home/mip/mip/public/template/AdminLTE/plugins/RGraph/demos/basic-csv2.html
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<head>

    <title>A basic Bar chart using (column based) CSV data</title>
    

    <meta name="robots" content="noindex,nofollow" />
    <meta name="description" content="A basic example of an RGraph Bar chart that uses AJAX to fetch a CSV file and then parses it with JavaScript. Instead of each row being a dataset - this CSV holds the data as columns" />
    <meta name="googlebot" content="NOODP">
    
    <link rel="stylesheet" href="demos.css" type="text/css" media="screen" />

    <!-- 1/3. Include the RGraph libraries -->
    <script src="../libraries/RGraph.common.core.js" ></script>
    <script src="../libraries/RGraph.common.key.js" ></script>
    <script src="../libraries/RGraph.line.js" ></script>

</head>
<body>

    <h1>A basic Bar chart using CSV data (with column based data)</h1>

    <!-- 2/3. This is the canvas that the graph is drawn on -->
    <canvas id="cvs" width="600" height="250">[No canvas support]</canvas>

    <!--
        3/3. This creates and displays the graph. As it is here, you can call this from the window.onload event,
             allowing you to put it in your pages header.
    -->
    <script>
        window.onload = function ()
        {
            /**
            * This is the callback for the AJAX request
            */
            var callback = function ()
            {
                // Parse the AJAX result text
                var text   = this.responseText.split(/\r?\n/);
                var labels = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday'];
                var data   = [];
                var key    = text[0].split(/,/);
                
                for (var row=1; row<text.length; ++row) {

                    var cells = text[row].split(/,/);

                    for (var i=0; i<cells.length; ++i) {
                        
                        if (!data[i]) data[i] = [];
                        
                        // Add the value that hs been retrieved from the CSV file. Remember that because the CSV file is a
                        // text file - it needs to be converted to a number first
                        data[i].push(Number(cells[i]));
                    }
                }


                var line = new RGraph.Line({
                    id: 'cvs',
                    data: data,
                    options: {
                        textAccessible: true,
                        linewidth: 2,
                        shadowColor: '#ccc',
                        labels: labels,
                        hmargin: 5,
                        scaleDecimals: 2,
                        unitsPre: '�',
                        gutterLeft: 45,
                        key: key,
                        keyPosition: 'gutter',
                        keyPositionGutterBoxed: false
                    }
                }).draw()
            }


            /**
            * Make the AJAX call that fetches the CSV data
            */
            RGraph.AJAX('/sample2.csv', callback);
        };
    </script>
    
    <p>
        This basic example uses AJAX to request a CSV file as with <a href="basic-csv.html">basic-csv.html</a> but unlike that example
        this CSV file holds each data-set as columns instead of rows. <a href="/sample2.csv">You can see the CSV file here.</a>
    </p>
    
    <p>
        <b>Note:</b>
        In October 2013 a new CSV reader was added to RGraph. It makes reading CSV files much easier. You can read about
        <a href="http://www.rgraph.net/docs/csv-file-reader.html">the new CSV reader</a> here.
    </p>







    <p></p>

    This goes in the documents header:
    <pre class="code">
&lt;script src="RGraph.common.core.js"&gt;&lt;/script&gt;
&lt;script src="RGraph.common.key.js"&gt;&lt;/script&gt;
&lt;script src="RGraph.line.js"&gt;&lt;/script&gt;
</pre>
    
    Put this where you want the chart to show up:
    <pre class="code">
&lt;canvas id="cvs" width="600" height="250"&gt;
    [No canvas support]
&lt;/canvas&gt;
</pre>

    This is the code that generates the chart:
    <pre class="code">
&lt;script&gt;
    window.onload = function ()
    {
        <span>/**
        * This is the callback for the AJAX request
        */</span>
        var callback = function ()
        {
            // Parse the AJAX result text
            var text   = this.responseText.split(/\r?\n/);
            var labels = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday'];
            var data   = [];
            var key    = text[0].split(/,/);
            
            for (var row=1; row&lt;text.length; ++row) {

                var cells = text[row].split(/,/);

                for (var i=0; i&lt;cells.length; ++i) {
                    
                    if (!data[i]) data[i] = [];
                    
                    <span>// Add the value that hs been retrieved from the CSV file. Remember that because the CSV file is a
                    // text file - it needs to be converted to a number first</span>
                    data[i].push(Number(cells[i]));
                }
            }


            var line = new RGraph.Line({
                id: 'cvs',
                data: data,
                options: {
                    textAccessible: true,
                    linewidth: 2,
                    shadowColor: '#ccc',
                    labels: labels,
                    hmargin: 5,
                    scaleDecimals: 2,
                    unitsPre: '�',
                    gutterLeft: 45,
                    key: key,
                    keyPosition: 'gutter',
                    keyPositionGutter: {
                    keyPositionGutterBoxed: false
                }
            }).draw();
        }


        <span>/**
        * Make the AJAX call that fetches the CSV data. You could just as easily
        * use the jQuery AJAX functionality if you prefer
        */</span>
        RGraph.AJAX('/sample2.csv', callback);
    };
&lt;/script&gt;
</pre>

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