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Helper I

## Divide based on a grouped column

Hello everyone,

I have a table with 5 columns [Date, ID, ZipCode, Numeric, Condition]

 Date ID ZipCode Number Condition 27/03/2020 A MTS 117525 Yes 27/03/2020 B MTS 117525 Yes 19/03/2020 C MTS 117525 Yes 25/02/2020 D MTS 0 No 20/01/2020 E FCM 120368 Yes 13/03/2020 F FCM 120368 Yes 17/03/2020 G FCM 0 No 05/04/2020 H MTS 247831 Yes 31/03/2020 I MTS 0 No 08/04/2020 J MTS 247831 Yes

The goal is to divide the Number with the total count of "Yes".

• For ZipCode "MTS" I want to divide 117.525/3, being 3 the total number of Yes for that ZipCode and for that Number. The Number results from a condition based on the Date.
• For ZipCode "FCM" I want to divide 120.368/2.
• Again for MTS, 247.831/2
• For the rows where the Condition = "No" the result should be 0.

How do i lock that count for each row?

Edit: I add another ZipCode to clarify the goal

1 ACCEPTED SOLUTION
Super User

@filipebodas , New column

new column =divide( [Number], countx(filter(Table, [zip code] =earlier([Zip Code]) && [Condition]= "Yes" ), [ID] ) )

5 REPLIES 5
Super User

Use this for a calculated column

Column1 =
VAR ZipCodeTable =
CALCULATETABLE ( Table, ALLEXCEPT ( Table, Table[ZipCode] ) )
VAR YesTable =
FILTER ( ZipCodeTable, Table[Condition] = "Yes" )
RETURN
IF (
Table[Condition],
0,
DIVIDE ( SUMX ( YesTable, Table[Number] ), COUNTROWS ( YesTable ) )
)
Super User

I guess you are using table visual by ZipCode. Then you can use

Measure1 =
DIVIDE (
SUM ( Table[Number] ),
COUNTROWS ( FILTER ( Table, Table[Condition] = "Yes" ) )
)

Helper I

@tamerj1 I edit the question

Super User

@filipebodas , New column

new column =divide( [Number], countx(filter(Table, [zip code] =earlier([Zip Code]) && [Condition]= "Yes" ), [ID] ) )

Helper I

When the condition is "No" the new column should be 0.

The output should be 39175 | 39175 | 39175 | 0 (these are rows).

The zipcode can change along the table

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