Refer: http://www.realestate.com.au/buy/in-melbourne,+vic/map-1

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" 
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd";>
<html xmlns="http://www.w3.org/1999/xhtml";>
  <head>
    <meta http-equiv="content-type" content="text/html; charset=utf-8"/>
    <title>
      Google Visualization API Sample
    </title>
    <script 
src="http://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js";></script>
    <script type="text/javascript" 
src="https://www.google.com/jsapi";></script>
    <script type="text/javascript">
        var jdata = [ { "file": "1a24ae6b3e6fafe458ce680d9b472b85", "type": 
"Opened", "pc": 0, "details": "C:\\Sandbox\\briefdocument.pdf", 
"timestart": "2014-04-03 15:02:00" }, { "file": 
"1a24ae6b3e6fafe458ce680d9b472b85", "type": "Renamed", "pc": 0, "details": 
"C:\\Sandbox\\briefdocument.pdf", "timestart": "2014-04-03 14:58:47" }, { 
"file": "3fcdd1ee5efc6c9a400bae4ba25b137d", "type": "Printed", "pc": 0, 
"details": "C:\\pdf_commenting_new.pdf", "timestart": "2014-04-03 14:54:43" 
}, { "file": "58dd597d395e898d2d573bf17b61d55e", "type": "Opened", "pc": 0, 
"details": "C:\\PDFs\\WebConfig789.pdf", "timestart": "2014-04-03 14:57:39" 
}, { "file": "58dd597d395e898d2d573bf17b61d55e", "type": "Renamed", "pc": 
0, "details": "C:\\PDFs\\WebConfig789.pdf", "timestart": "2014-04-03 
14:55:44" }, { "file": "738b2ed34cc03fc98089a178db08490d", "type": 
"Created", "pc": 0, "details": "C:\\Autoship-chrg-stock-orders.pdf", 
"timestart": "2014-04-02 20:18:23" }, { "file": 
"738b2ed34cc03fc98089a178db08490d", "type": "Opened", "pc": 0, "details": 
"C:\\Autoship-chrg-stock-orders.pdf", "timestart": "2014-04-03 13:26:14" }, 
{ "file": "738b2ed34cc03fc98089a178db08490d", "type": "Printed", "pc": 0, 
"details": "C:\\Autoship-chrg-stock-orders.pdf", "timestart": "2014-04-03 
13:26:45" }, { "file": "be2a2db6fa5a6ba360f66abdbe903ba5", "type": 
"Opened", "pc": 0, "details": "C:\\LINQ+Introduction.pdf", "timestart": 
"2014-04-02 20:20:56" }, { "file": "be2a2db6fa5a6ba360f66abdbe903ba5", 
"type": "Opened", "pc": 0, "details": "C:\\LINQ+Introduction.pdf", 
"timestart": "2014-04-03 14:55:21" }, { "file": 
"bf491f0f97ecb717ea937cf3339ff119", "type": "Opened", "pc": 0, "details": 
"C:\\designerrenaming.pdf", "timestart": "2014-04-02 20:27:32" }, { "file": 
"bf491f0f97ecb717ea937cf3339ff119", "type": "Opened", "pc": 0, "details": 
"C:\\designerrenaming.pdf", "timestart": "2014-04-03 13:08:36" }, { "file": 
"c1d481d512f70392cd03336fd77c56d4", "type": "Created", "pc": 0, "details": 
"C:\\Sandbox\\Kentico Document Database.pdf", "timestart": "2014-04-03 
14:57:31" }, { "file": "c1d481d512f70392cd03336fd77c56d4", "type": 
"Opened", "pc": 0, "details": "C:\\Sandbox\\Kentico Document Database.pdf", 
"timestart": "2014-04-03 14:57:31" }, { "file": 
"d7668f16f4ce5cd589773d682899d30d", "type": "Created", "pc": 0, "details": 
"C:\\Globalization.pdf", "timestart": "2014-04-03 14:53:00" } ];
          google.load("visualization", "1", {packages:["corechart"]});
          google.setOnLoadCallback(drawChart);
          // group all data at the same (x, y) coordinates together
        function drawChart() {
            var data = new google.visualization.DataTable();
            data.addColumn('string', 'ID');
            data.addColumn('date', 'Date');
            data.addColumn('timeofday', 'Time');
            data.addColumn({type: 'string', role: 'tooltip'});


        $.each(jdata, function(k,v) {
            var d = new Date(v.timestart);
            var dateTimeArr = v.timestart.split(' ');
            var dateArr = dateTimeArr[0].split('-');
            var timeArr = dateTimeArr[1].split(':');
            var year = dateArr[0];
            var month = dateArr[1] - 1; // subtract 1 to change to 
javascript's 0-indexed months
            var day = dateArr[2];
            var hours = timeArr[0];
            var minutes = timeArr[1];
            var seconds = timeArr[2];
            data.addRow(["vjdb", new Date(d.getFullYear(), d.getMonth(), 
d.getDate()), [d.getHours(), d.getMinutes(), d.getSeconds(), 
d.getMilliseconds()], v.details]);
        });
    
        // group all data at the same (x, y) coordinates together
        var groupedData = google.visualization.data.group(data, [1, 2], [{
            type: 'string',
            label: data.getColumnLabel(0),
            column: 0,
            aggregation: function (values) {
                // join the labels together
                return values.join(',');
            }
        }, {
            type: 'number',
            label: 'Size',
            column: 2,
            // sum the y values together to get the size of the bubble, you 
can omit this column if you want to leave the bubbles the same size
            aggregation: google.visualization.data.sum
        }]);

        var view = new google.visualization.DataView(groupedData);
        // rearrange the column order to make it fit the BubbleChart's needs
        view.setColumns([2, 0, 1, 3]);
        
        var options = {
            title: 'Date vs. Time comparison',
            // this is zoom option..
            explorer: { actions: ['dragToZoom', 'rightClickToReset'] }
        };
        
        var chart = new 
google.visualization.BubbleChart(document.getElementById('chart_div'));
        chart.draw(view, options);
    }
    </script>
  </head>
  <body>
    <div id="chart_div">
        
    </div>
  </body>
</html>


This is my scatter chart. I want feature like the above given URL where 
datapoints are displaying count and on click of them they are being 
scattered to show sub data points. Suppose, same way I want to show data 
points in my chart where yearly data'll be shown as a single data point 
with counts on it(count = number of data point per year), then splitting 
into month upto millisecond. Please help..

Thank you

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