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