Altair® Panopticon

 

OHLC Variable Configuration

This configuration pane for OHLC variable is used by both the OHLC Graph and the Candlestick Graph.

Steps:

1.     On the Visualization Settings pane, click the Y (OHLC) variable. To associate other columns from the data table, drag and drop them to the OHLC variable drop area. Select one to display the corresponding configuration pane.

 

2.     Enter the label of the OHLC variable in the Variable Title field.

You can parameterize the variable title to support dynamic schema in the dashboards.

3.     Unlike other variables, the OHLC requires four input columns (Open, High, Low & Close). These are selectable from list boxes once the Close column has been dragged onto the OHLC variable slot.

4.     You can also specify an aggregation method in the Aggregate field.

The default is Sum.

The OHLC variable also supports a number of other aggregate types:

·         If you set the aggregation method to Intercept, Slope, WeightedMean, WeightedHarmonicMean, PercentofWeightTotal, CumulativeSumByMax, or Ratio, the Weight Column drop-down list is enabled and displays a list of numeric data columns in the selected data table that can be used as the weight column for the aggregate.

·         If you set the aggregation method to Percentile, the Percentile field is displayed. Specify the value that can be used to calculate the value of the selected percentile.

5.     The Format field lets you specify the format that numbers will be displayed in. Panopticon uses the same formatting rules as Excel.

6.     Select the Divide By value to divide a number:

·         1

·         1000 (by a thousand)

·         10000

·         1000000 (by a million)

·         1000000000 (by a billion)

7.   The visible range for the OHLC variable can either be calculated dynamically (the default, enabled Dynamic).

Check the Always Include Zero box to let the axis scale start at zero, and grow to any number that may show up in the data.

 

Or set between predefined limits by clicking Fixed. This reveals the Min and Max text boxes and populates them with default values taken from the data set.

 

8.   Click the Save  icon on the toolbar.

When saved, the  notification is displayed.