Any couple of variables in the view can be used to generate a different type of view: a joint distribution view.
This view consists in displaying any state of one of the two variables broken down into all the states of the other variable.
The roles of those two variables can be then swaped.
A distribution is created by drag & drop of a variable onto another one.
Dragging "variable 1" into "variable 2" will generate the "variable 2" vs "variable 1" view.
In this example, the variable "vpip?" has been dropped onto the variable 'hand?".
It shows the breakdown of every state of "hand?" into the "vpip?" states.
A distribution view is easily recognizable thanks to the different color of the charts' headers.
The swap command swaps the two variables in the joint distribution and displays the reverse breakdown.
The example above will then show 2 charts instead of 5 as the roles have been exchanged.
At any moment it is possible to return to the main view with the "Exit" command.
The distribution view is informative. It is a powerful and convenient tool to see how two variables interact together.
A joint distribution view cannot be created with one of the variables having an enforced state (p=1).
The states of a joint distribution view's variable cannot be enforced or excluded.
It is not possible to create a nested distribution from a distribution view.
Any change in the control zone (stack, #players, seat) will result in creating a new normal view in accordance with the new specifications. The current joint distribution, if any, will be deleted.