This is an improvement on the chart shown in the
previous post where NSE data was picked up in CSV format from
Quandl - an excellent source of global timeseries data -- and shown in a candlestick format. Since the data that we are plotting this time,
Reliance share prices, goes back a long time. We will be using a
RangeFilter to choose the start and end dates of our plot. The big challenge in this case was to convert the date data obtained from Quandl which was in STRING format into the DATE format that is required by the RangeFilter. This was done by using the code very kindly provide by
ASGALLANT.The final chart is seen on
this html page and also in this blog page.
Vizualyse PK
<head>
<title>Vizualyse PK</title>
<script src="https://www.google.com/jsapi"></script>
<script src="http://code.jquery.com/jquery-1.10.1.min.js"></script>
<script src="http://prithwis.x10.bz/charts/jquery.csv-0.71.js"></script>
<!-- <script src="https://jquery-csv.googlecode.com/files/jquery.csv-0.71.js"></script> -->
<script type='text/javascript'>
// load the visualization library from Google and set a listener
google.load("visualization", "1", {packages:["corechart","controls"]});
google.setOnLoadCallback(drawCandlefromQuandlPK);
//-------------------------------------------------------------------------------------------------------------------------------------------
//-------------------------------------------------------------------------------------------------------------------------------------------
function drawCandlefromQuandlPK(){
var dashboardPK = new google.visualization.Dashboard(
document.getElementById('div_dashboardPK'));
//----------------------------------------------------------------------------------------------------------------------------------------
var controlPK = new google.visualization.ControlWrapper({
'controlType': 'ChartRangeFilter',
'containerId': 'div_controlPK',
'options': {
// Filter by the date axis.
'filterColumnIndex': 0,
'ui': {
'chartType': 'LineChart',
'chartOptions': {
// 'chartArea': {'width': '90%'},
'hAxis': {'baselineColor': 'none'}
},
// Display a single series that shows the closing value of the stock.
// Thus, this view has two columns: the date (axis) and the stock value (line series).
'chartView': {
'columns': [0, 4]
},
// 1 day in milliseconds = 24 * 60 * 60 * 1000 = 86,400,000
'minRangeSize': 86400000
}
},
// Initial range: 2007-11-31 to 2008-09-31.
'state': {'range': {'start': new Date(2007, 10, 31), 'end': new Date(2008, 8, 31)}}
});
//--------------------------------------------------------------------------------------------------------------------------------------------
var chartPK = new google.visualization.ChartWrapper({
'chartType': 'CandlestickChart',
'containerId': 'div_chartPK',
'options': {
title: "Reliance Stock Prices at NSE from Quandl",
// Use the same chart area width as the control for axis alignment.
// 'chartArea': {'height': '80%', 'width': '90%'},
// 'hAxis': {'slantedText': false},
'vAxis': {'viewWindow': {'min': 0, 'max': 3500}},
'legend': {'position': 'none'}
},
});
//--------------------------------------------------------------------------------------------------------------------------------------------
// grab the CSV
// $.get("https://www.quandl.com/api/v1/datasets/NSE/RELIANCE.csv?&trim_start=1998-03-20&trim_end=2013-12-27&collapse=weekly&
$.get("https://www.quandl.com/api/v3/datasets/NSE/RELIANCE.csv??&auth_token=xxxxxxxxxxxxxxxxxxxxx&trim_start=1998-03-20&trim_end=2013-12-27&collapse=weekly&sort_order=desc", function(csvStringPK) {
// transform the CSV string into a 2-dimensional array
var arrayDataPK = $.csv.toArrays(csvStringPK, {onParseValue: $.csv.hooks.castToScalar});
// this new DataTable object holds all the data
var dataPK = new google.visualization.arrayToDataTable(arrayDataPK);
// this view selects only a subset of the data, that is columns 0,3,1,5,2 that is appropriate for the candlestick chart
// more importantly it converts the 0th column from string to date using the example given in http://jsfiddle.net/asgallant/8RFsB/1/
// the string to date conversion is very important as otherwise the ControlWrapper will not work
var viewPK = new google.visualization.DataView(dataPK);
viewPK.setColumns([{
type: 'date',
label: dataPK.getColumnLabel(0),
calc: function (dt, row) {
// split the string into date and time
var valArr = dt.getValue(row, 0).split(' ');
// split the date into year, month, day
var dateArr = valArr[0].split('-');
// create a new Date object from the data
// note that we subtract 1 from the month to convert to javascripts 0-index
var date = new Date(dateArr[0], dateArr[1] - 1, dateArr[2]);
// return the date and the formatted value as set in the original DataTable
return {
v: date,
f: dt.getFormattedValue(row, 0)
};
}
}, 3, 1,5,2]);
//-----------------------------------------------------------------------------------------------------------------------------------------------
dashboardPK.bind(controlPK, chartPK);
dashboardPK.draw(viewPK);
});
}
</script>
</head>
<body>
<div id="div_dashboardPK">
<div id="div_chartPK" style="height: 600px; width: 900px;">
</div>
<div id="div_controlPK" style="height: 50px; width: 900px;">
</div>
</div>
</body>
an
earlier post on dashboards also talks about filters in some detail. however the code is possibly cleaner here.
