/home/mip/public_html/template/AdminLTE/plugins/RGraph/demos/basic-csv.html
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<head>

    <title>A basic Bar chart using 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" />
    <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.bar.js" ></script>

</head>
<body>

    <h1>A basic Bar chart using CSV 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 data   = this.responseText.split(/\r?\n/);
                var labels = [];
                
                // Handle the response
                for (var i=0; i<data.length; ++i) {
                    var row = data[i].split(/,/);
                    labels.push(row[0]);

                    var newrow = [];

                    for (var j=1; j<row.length; ++j) {
                        newrow.push(Number(row[j]));
                    }

                    data[i] = newrow;
                }

                var bar = new RGraph.Bar({
                    id: 'cvs',
                    data: data,
                    options: {
                        textAccessible: true,
                        grouping: 'stacked',
                        labels: labels,
                        colors: ['red','blue','yellow','pink','black','gray','green']
                    }
                }).draw();
            }


            /**
            * Make the AJAX call that fetches the CSV data
            */
            RGraph.AJAX('/sample.csv', callback);
        };
    </script>
    
    <p>
        This basic example uses AJAX to request a CSV file from the server and then parses it with Javascript to convert it into usable
        data. You can see the CSV file <a href="http://www.rgraph.net/sample.csv">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.bar.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 ()
        {
            <span>// Parse the AJAX result text</span>
            var data   = this.responseText.split(/\r?\n/);
            var labels = [];
            
            <span>// Handle the response</span>
            for (var i=0; i&lt;data.length; ++i) {
                var row = data[i].split(/,/);
                labels.push(row[0]);

                var newrow = [];

                for (var j=1; j&lt;row.length; ++j) {
                    newrow.push(Number(row[j]));
                }

                data[i] = newrow;
            }

            var bar = new RGraph.Bar({
                id: 'cvs',
                data: data,
                options: {
                    textAccessible: true,
                    grouping: 'stacked',
                    labels: labels,
                    colors: ['red','blue','yellow','pink','black','gray','green']
                }
            }).draw();
        }


        <span>/**
        * Make the AJAX call that fetches the CSV data
        */</span>
        RGraph.AJAX('/sample.csv', callback);
    };
&lt;/script&gt;
</pre>


    <p>
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    </p>

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