Calculated column for each row across multiple tables

Anonymous — Thu, 22 Aug 2019 09:02:10 GMT

Hi everyone,

I have a table 'ClientInfo' which has (among others) three columns: BeginDate, EndDate, TotalCostsPerDay. Additionally, I have a table called 'DateValues' which has a column called 'Dates'.

I want to add a calculated column 'AggregateCostPerDay' to 'DateValues', where the n-th value is defined as follows:

- Take the 'DateValues'[Dates] value of the n-th row (call this date 'x');
- Get all rows of 'ClientInfo' where the date-range (BeginDate, EndDate) contains this date 'x';
- For these rows, take the sum of the 'TotalCostPerDay' values;
- This sum is the n-th vale of the 'AggregateCostPerDay' column.

I have the following DAX statement, which is not working:

'DateValues'[AggregateCostPerDay] = CALCULATE(SUMX( FILTER(ClientInfo, BeginDate <= 'DateValues'[Dates] && 'DateValues'[Dates] <= EndDate) ))

It's not working because inside the SUMX, 'DateValues'[Dates] is the problem. I would need something like:

'DateValues'[AggregateCostPerDay] = For each 'Date' in 'DateValues'[Dates], CALCULATE(SUMX( FILTER(ClientInfo, BeginDate <= 'Date' && 'Date' <= EndDate) ))

How would I have to do this?

Thanks in advance!

Re: Calculated column for each row across multiple tables

Stachu — Fri, 23 Aug 2019 07:52:54 GMT

try this as a calculated column in 'DateValues'

AggregateCostPerDay =
VAR __Date = 'DateValues'[Dates]
VAR __ClientInfo =
    FILTER (
        'ClientInfo',
        'ClientInfo'[BeginDate] <= __Date
            && 'ClientInfo'[EndDate] >= __Date
    )
RETURN
    SUMX ( __ClientInfo, [TotalCostsPerDay] )

if it doesn't work - can you add sample tables (in format that can be copied to PowerBI) from your model with anonymised data? Like this (just copy and paste into the post window).

Column1	Column2
A	1
B	2.5

topic Calculated column for each row across multiple tables in DAX Commands and Tips

Calculated column for each row across multiple tables

Re: Calculated column for each row across multiple tables