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Hi,
I want a measure that gives me the count of Client ID that have made a transaction in the last 3 months. My table looks like this:
| Client ID | Operation | Date |
| 1 | Last transaction | 8/30/2019 |
| 2 | Opening | 8/30/2019 |
| 3 | Closure | 8/30/2019 |
| 4 | Last transaction | 8/30/2019 |
| 5 | Opening | 8/29/2019 |
| 6 | Closure | 8/28/2019 |
| 7 | Last transaction | 8/5/2019 |
| 8 | Last transaction | 8/24/2019 |
| 9 | Last transaction | 8/24/2019 |
The measure should count distinct Client ID, filter Operation in {"Last Transacion"} and then filter all the dates from today until 3 months ago.
Thanks in advance,
IC
Solved! Go to Solution.
HI @Anonymous ,
I'd like to suggest you to use date and today functions to looping records and get last three month distinct count based on current date:
Measure =
CALCULATE (
COUNTROWS ( VALUES ( Table[Client ID] ) ),
FILTER (
ALLSELECTED ( Table ),
[Operation] = "Last transaction"
&& [Date]
>= DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 3, DAY ( TODAY () ) )
&& [Date] <= TODAY ()
)
)
Regards,
Xiaoxin Sheng
HI @Anonymous ,
I'd like to suggest you to use date and today functions to looping records and get last three month distinct count based on current date:
Measure =
CALCULATE (
COUNTROWS ( VALUES ( Table[Client ID] ) ),
FILTER (
ALLSELECTED ( Table ),
[Operation] = "Last transaction"
&& [Date]
>= DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 3, DAY ( TODAY () ) )
&& [Date] <= TODAY ()
)
)
Regards,
Xiaoxin Sheng
Hi,
Create a Calendar Table and build a relationship from the Date column of the Data Table to the Date column of the Calendar Table. Try this measure
Measure = COUNTROWS(FILTER(SUMMARIZE(CALCULATETABLE(Values(Data[Client ID]),Data[Operation]="Last Transaction"),[Client ID],"ABCD",CALCULATE(DISTINCTCOUNT(Data[Client ID]),DATESBETWEEN(Calendar[Date],EDATE(TODAY(),-2),TODAY())),[ABCD]>0))
Hope this helps.
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