Forum Discussion
Using comparison operators with 'Date' data type
Hi.
I have created two measures for a common purpose ie i want to calculate the conversions before July 2018 from one table A and from July 2018 from another table B. When I want to split it between different months, it creates an aggregate rather than just for the particular month.
The formula for table A:- conversions_old = CALCULATE(SUM(tableA[conversions]), "MONTH('date'[date_key])<7, YEAR('date'[date_key])<=2018)
The formula for table B:- conversions_new = CALCULATE(DISTINCTCOUNT(tableB[conversions]), all_txns[platform]="app", all_txns[order_id]<282349, MONTH('date'[date_key])>6, YEAR('date'[date_key])>=2018)
The combined measure is conversions_all = conversions_new + conversions_old.
So when I split the same by year_month, it gives an aggregated value rather than splitting it by month.
Kindly help me resolve this issue.
Hi rajulshah
I was able to filter according to the dates by using the FILTER() function.
The formulas are-
conversions app new = CALCULATE(SUM(tableA[conversions]), FILTER('date', FORMAT('date'[date_key], "yyyy-mm") > "2018-06"))
conversions app new = CALCULATE(SUM(tableB[conversions]), FILTER('date', FORMAT('date'[date_key], "yyyy-mm") < "2018-07"))
Thank you for your assisstance.
3 Replies
- rajulshahResident Rockstar
- aJ2Helper I
Hi rajulshah
I was able to filter according to the dates by using the FILTER() function.
The formulas are-
conversions app new = CALCULATE(SUM(tableA[conversions]), FILTER('date', FORMAT('date'[date_key], "yyyy-mm") > "2018-06"))
conversions app new = CALCULATE(SUM(tableB[conversions]), FILTER('date', FORMAT('date'[date_key], "yyyy-mm") < "2018-07"))
Thank you for your assisstance.
- v-piga-msftResident Rockstar
Hi aJ2,
Have you solved your problem?
If you have solved, please accept the replies making sense as solution to your question so that people who may have the same question can get the solution directly.
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Best Regards,
Cherry