See: Description
Class  Description 

ConditionalBoxPlotNodeDialog 
This class provides the configuration dialog for the conditional box plot
node.

ConditionalBoxPlotNodeFactory 
This class creates a ConditionalBoxPlotNode.

ConditionalBoxPlotNodeModel 
Class for the model of a conditional box plot.

ConditionalBoxPlotNodeView 
Class for a view of the conditional box plot.

ConditionalBoxPlotSettings 
Settings for conditional box plot.

A box plot for one numerical attribute is constructed in the following way: The box itself goes from the lower quartile (Q1) to the upper quartile (Q3). The median is drawn as a horizontal bar inside the box. The distance between Q1 and Q3 is called the interquartile range (IQR).
Above and below the box are the socalled whiskers. They are drawn at the minimum and the maximum value as horizontal bars and are connected with the box with a dotted line. The whiskers never exceed 1.5 * IQR. This means if there are some data points which exceed either Q1  (1.5 * IQR) or Q3 + (1.5 * IQR) than the whiskers are drawn at exactly these ranges and the data points are drawn seperatly as outliers.
For the outliers the distinction between mild and extreme outliers is made.
As mild outliers are those datapoints p considered for which holds:
p < Q1  (1.5 * IQR) and p > Q1  (3 * IQR) or
p > Q3 + (1.5 * IQR) and p < Q3 + (3 * IQR).
In other words mild outliers are those data points which lay between 1.5 * IRQ
and 3 * IRQ. Extreme outliers are those datapoints p for which holds:
p < Q1  (3 * IQR) or p > Q3 + (3 * IQR).
Thus, three times the box width (IQR) marks the boundary between
"mild" and "extreme" outliers. Mild outliers are painted as dots while extreme
outliers are displayed as crosses. In order to identify the outliers they can
be selected and hilited. This provides a quick overview over extreme
charateristics of a dataset.