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## Summarize Tables with TopN / RankX Help

Hello, I am trying to get a summarized table that filters the TopN / Rank for a given aggregation. For some detail, I have the following table of data:
Table 1: "Encounters"

 Dept ID EncounterID Date 111 32453245 1/1/2023 222 32462623 2/4/2023 333 65654333 3/7/2023 111 26587765 11/2/2022 111 11/4/2022 222 36874769 12/1/2023 333 8/3/2023 111 73658498 1/21/2023 444 47694362 7/9/2023

This table "Inter" has a relationship with the following table, one to many relationship to 'Encounter' based on DeptID

 DeptID DeptID2 DeptName 111 ABC Jim's Facility 222 DEF Bob's Facility 333 GHI Jane's Facility 444 JKL Mary's Facility

This table in turn is has a relationship one to many with table 3 "DeptListing" as following

 DeptID2 DeptName ABC Jim's Facility DEF Bob's Facility GHI Jane's Facility JKL Mary's Facility

My intended result is this:

 DeptName Encounter Count Jim's Facility 3 Bob's Facility 2 Jane's Facility 1 Mary's Facility 1

I have currently tried this to no avail:

Summarized Table by Top N =
VAR _N = 4
VAR _SUMMARIZED =
SUMMARIZE (Inter,
DeptListing[DeptName],
"Encounter Count", COUNT(Encounters[EncounterID]))
ADDCOLUMNS ( _SUMMARIZED, "RANK", RANKX ( _SUMMARIZED, [DeptName],, DESC ) )
VAR _TopN =
SUMMARIZE ( FILTER ( _ADDRANK, [RANK] <= _N ),  [DeptName])
RETURN
_TopN

Any help is appreciated!

1 ACCEPTED SOLUTION
Community Support

Hi @ExcelMonke ,

Below is my table1:

Below is my table2 :

Below is my table3:

The following DAX might work for you:

Measure = CALCULATE(
COUNTROWS(Encounters),
FILTER(Encounters,Encounters[Encounter ID]<>BLANK()),
ALL(Encounters)
)

The final output is shown in the following figure:

Best Regards,

Xianda Tang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Community Support

Hi @ExcelMonke ,

Below is my table1:

Below is my table2 :

Below is my table3:

The following DAX might work for you:

Measure = CALCULATE(
COUNTROWS(Encounters),
FILTER(Encounters,Encounters[Encounter ID]<>BLANK()),
ALL(Encounters)
)

The final output is shown in the following figure:

Best Regards,

Xianda Tang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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