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Hello,
I have a table that I am essentially trying to flatten out, It looks like this
Planned Date | Actual Date |
1/1/21 | 1/3/21 |
1/4/21 | 1/3/21 |
1/5/21 | 1/5/21 |
I have created a 2nd table as my calander and I would like to have the count of the above dates;
Calander Date | Planned Count | Actual Count |
1/1/21 | 1 | 0 |
1/2/21 | 0 | 0 |
1/3/21 | 0 | 2 |
1/4/21 | 1 | 0 |
1/5/21 | 1 | 1 |
Any tips on how to make the planned count and actual count columns?
Thanks!
hi @Anonymous
Try these measures:
Count Of Date Actual =
VAR _Date =
MAX ( 'Calendar Table'[Calander Date] )
RETURN
VAR _ActualDate =
CALCULATE ( COUNTROWS ( 'Table' ), 'Table'[Actual Date] = _Date )
RETURN
IF ( ISBLANK ( _ActualDate ), 0, _ActualDate )
Count Of Date Planned =
VAR _Date =
MAX ( 'Calendar Table'[Calander Date] )
RETURN
VAR _PlannedDate =
CALCULATE ( COUNTROWS ( 'Table' ), 'Table'[Planned Date] = _Date )
RETURN
IF ( ISBLANK ( _PlannedDate ), 0, _PlannedDate )
The output sill be as follow:
Did I answer your question? Mark my post as a solution!
Appreciate your Kudos !!
@Anonymous
You can build a calculated column as follows and follow the same for the actual as well:
Planned Date Count =
VAR __DATE = TABLE2[DATE] RETURN
COUNTROWS(
FILTER( VALUES(table1[planned date]), table1[planned date] = __DATE )
)
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@Fowmy Thanks! This is working well but what if I have 2 items with the same date? It is just returning a '1' in these cases. How can I modify to count all the matching dates?
@Migasuke
Yes, I mentioned it as a measure, it should be a calculated column. I changed the word in my reply.
Thanks
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