New to rapid-i, is this a suitable use?
I am doing a bit of analysis on a moderate bit of data.
Essentially i have about 15000 objects. Each object has 200 individual properties. Each property may have more than one value. All values are textual in nature.
I would like to be able to select certain properties (maybe 10 or 20 of the 200), and categorize/classify (not sure the nomenclature here) by unique combinations of these properties. In other words, identify the full set of unique buckets required to contain all of the objects, where each bucket is identified by a unique combination of values of the selected properties.
I'm not sure if that's clear or not, basically we're trying to identify templates and/or patterns in the objects, and in doing so need to identify which property value combinations are most popular and/or important.
Any pointers on how i would perform this analysis in rapid-i (if even possible) would be appreciated.