Data Cube Count Distinct missing [message #1031941] |
Tue, 02 April 2013 07:44  |
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I have a dataset which returns rows of stories along with some data, see attached csv:
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storyid, date, category, views
1, 2013-01-01, news, 30
1, 2013-01-02, news, 465
..
2, 2013-01-01, sport, 65
2, 2013-01-02, sport, 423
..
3, 2013-01-01, games, 5
3, 2013-01-03, games, 54
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I want to analyze the data in regard to the categories and the time periods: How many views has a category per month and how many stories are published in a category in a month? So I create a data cube and add these dimensions as groups. As summary fields I pick the views (sum) and the storyid (count). See attached rptdesign.
Now everything is fine except the number of stories per category per month: Since the only option is to use COUNT as function in the summary field for storyid too many stories are counted. That happens because there are multiple rows for the same storyid containing data for different dates.
I assume a COUNTDISTINCT would work but it seems that function is not available for a cube summary field. Am i right? If yes (why oh why?) is there a way to circumevent this problem?
[Updated on: Tue, 02 April 2013 07:46] by Moderator
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