I will try to show you what I do, and why 'counting frequencies' is not as easy as it seems when you have a s ystem with sub-sub-subcodes.

First: one or our main categories is called 'Support, treatment and medication'. On parent level we aggregate this, because it is all about help/care/treatment/support.

See here:

__table 1__From 923 documents in total, there are 158 documents (=cases) about 'Support, treatment and medication'.

Looking more in detail, we see that 36 documents are about 'treatment' (behandeling).

Second: I take a closer look into the part about 'treatment'.

I use the function 'subcode statistics'.

Result:

__table 2__We see for instance that 'effectiviteit van behandeling' is most often mentioned, while other aspects of treatment are mentioned less.

This is a usefull frequency table.

Third: using the function 'Code frequencies' for the subcode 'Treatment' (remember this is a subcode in the category support and treatment and medication)

This results in a long list:

__table 3__Conclusion for me: not useful

It does not automatically collaps, aggregate and sum sub-sub-level codes. So, for instance, I can no longer see how often 'effectiviteit van behandeling' is mentioned.

From the previous results I know that this is in 12 documents.

Based on this result, it says only 4 documents, which is not true, but sublevel codes are not summed, but split.

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