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Quotein the exact same wayas in the dataset, you would get exactly the same results.
Quote from: dougp on 09 Dec 2025 09:54:38 AMAfter rereading this, I think this is the symptom to focus on.
By any chance, does your date dimension have about 1300 rows? About 3.6 years? Of course, working with non-rounded numbers to begin with would help.
I think what you are meaning by N:N is not even that the date table and the fact have a many-to-many relationship. I think you're saying they have no relationship -- a cross join or cartesian join. So the result is a dataset with the number of rows being the number or rows from fact times the number of rows from the date dimension.
Creating a proper relationship between the tables will help. The result should be the number of rows on the fact. Once you have that, you can start trying to use the dataset to answer questions.
Quote from: bus_pass_man on 09 Dec 2025 09:17:11 AMI don't know what you mean by 'trajectories' and I think I don't need to know, although knowing would be nice.
You want the count of trajectories where start date >= {some date} and end date <= {some other date} is that a correct understanding? That is easily done, without mucking about with many to many relationships. Why didn't you try that?
case
when [dimension] = 'value' then 'blah'
else 'blub'
endcase [dimension]
when 'value' then 'blah'
else 'blub'
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