Hi Community,

I hope this message finds you well. I am reaching out because I have encountered an issue with a new dimension I created, named "Region," and I could use your assistance in resolving it.

The problem is that when I open the cube analyzer, the "Region" dimension does not populate data as expected. Instead, it merely displays the text "sourceRegion," which I specified as an expression in the architect.

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Hello community, I need to solve a complex but trivial issue.

Given:

Two tables "Comment" and "Post". Each one contains an "Author" field, which is essentially a user ID. In these tables, each user ID represents an author. The goal is to count all participants together and then group them by month, language, and other metrics.

The question is how to do this within the IRIS ecosystem. Is it even possible to take two tables, get distinct data from them and then combine into one cube?

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How can I create a calculated member in Analyzer using MDX for the following logic?

WHEN 'F' THEN 'FEMALE'
WHEN 'Female' THEN 'FEMALE'
WHEN 'M' THEN 'MALE'
WHEN 'Male' THEN 'MALE'
WHEN 'U' THEN UNDIFFERENTIATED'
WHEN 'UN' THEN UNDIFFERENTIATED'
WHEN 'Undifferentiated' THEN UNDIFFERENTIATED'
ELSE 'OTHER'
END

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I built a dashboard to show hourly instrument capacities based on a term list. The term list consists of the TestInstrumentID and the number of tests that instrument can perform in 1 hour. The calculation works correctly and the data is accurate but periodically if you go to check the dashboard the percentages all get changed to 100% across every hour. If you check it later or add an additional site to the filter then the percentages correct themselves. I don't know what's causing this or how to troubleshoot it because it does calculate correctly but is not consistent.

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