Method in jmp to analyze occurrence of an event based on unique users in a category

I have a student project in which I would like to analyze application usage data specifically between three user groups. I have log data gathered including unique User IDs, actions and the identifier for the user group they belong to. Ex:

UserID   Action   Group
0001        A       1
0002        B       1
0003        A       2
0001        A       1
0004        B       1


My problem now lies within analyzing and visualizing this data ideally in a manner that takes into account the amount of unique users within the user group. In this example if I were to do try and find a correlation between user group and likelihood of performing a specific action I would only get the output that a user in group 1 is twice as likely to perform action A than a user in group 2. Of course that is not correct, since group 2 has less users than group 1.

I would like to use jmp to do this analysis and the closest I could get was a contingency analysis which output a mosaic graph. Unfortunately the graph cannot take into account how many users are within each group.

I'm certain there must be some simple way of doing it, but I was unable to come up with a solution so far.

Any help would be much appreciated.

Thanks!

Edit: removed the timestamps as they weren't relevant.

• How many possible actions & how many groups are there? Are you trying to incorporate the tome variable into the analysis? If so, how? – gung Jul 13 '15 at 14:35
• Hi, actually time doesn't factor in yet (I need that for a later analysis), sorry for the confusion. There are 7 actions and 3 groups. – Grinner Jul 14 '15 at 12:33