How to calculate the cost of a product using different formulas depending of the month&year?

[mridz]

Hi everyone,

Happy holidays!

I need to show the evolution of the cost of products and I have the following datasets:

• Number 1: Product / Ingredient / % of ingredient in the product / Month&Year of formula update. Example:

Product	Ingredient	% of ingredient in the product	Month&Year of formula update
A	A1	0.5	03/2021
A	A2	0.5	03/2021
A	A1	0.6	06/2022
A	A3	0.4	06/2022

• Number 2: Ingredients / Year&Month of cost / Cost. Example:

Ingredients	Month&Year of cost	Cost
A1	01/2021	u
A1	02/2021	v
A1	03/2021	x
...	...	...

I need to create a table which shows me:

• Product / Ingredient / % of ingredient in the product * Cost / Year&Month of cost

By taking the correct Ingredient, % of ingredient in the product and Cost, depending on the relationship between Month&Year of formula update and the Month&Year of cost. Example:

Product	Ingredient	% of ingredient in the product * Cost	Month&Year of cost
A	A1	0.5 * x	All "Year&Month of cost" after 03/2021 and before 06/2022
A	A2	0.5 * y	All "Year&Month of cost" after 03/2021 and before 06/2022
A	A1	0.6 * w	All "Year&Month of cost" after 06/2022
A	A3	0.4 * z	All "Year&Month of cost" after 06/2022

I was thinking about merging table Number 1 with table Number 2, but I don't know how to tell PowerBI to implement the right logic for which products formulas to use depending on the dates...

Any thoughts?

Thanks!

[v-binbinyu-msft · Accepted solution]

Hi @mridz ,

Please try below steps:

1. below is my test table

Table1:

Table2:

2. create a measure with below dax formula

Measure =
VAR cur_ingre =
    SELECTEDVALUE ( Table1[% of ingredient in the product] )
VAR cur_it =
    SELECTEDVALUE ( Table1[Ingredient] )
VAR cur_ym =
    SELECTEDVALUE ( Table1[Month&Year of formula update] )
VAR tmp =
    FILTER (
        ALL ( 'Table 2' ),
        'Table 2'[Ingredients] = cur_it
            && 'Table 2'[Month&Year of cost] >= cur_ym
    )
VAR _date =
    MINX ( tmp, [Month&Year of cost] )
VAR _val =
    CALCULATE (
        MAX ( 'Table 2'[Cost] ),
        'Table 2'[Ingredients] = cur_it,
        'Table 2'[Month&Year of cost] = _date
    )
RETURN
    cur_ingre & " * " & _val

3. add a table visual with Table1 fields and measure

Please refer the attached .pbix file.

Best regards,
Community Support Team_Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[amitchandak]

@mridz , You can check to merge in power query, and you can select multiple column to join

Merge Tables (Power Query) : https://www.youtube.com/watch?v=zNrmbagO0Oo&list=PLPaNVDMhUXGaaqV92SBD5X2hk3TMNlHhb&index=16

or copy columns in DAX

refer 4 ways (related, relatedtable, lookupvalue, sumx/minx/maxx with filter) to copy data from one table to another
https://www.youtube.com/watch?v=Wu1mWxR23jU
https://www.youtube.com/watch?v=czNHt7UXIe8

or DAX joins

https://www.sqlbi.com/articles/from-sql-to-dax-joining-tables/

[mridz]

Thanks @amitchandak. My difficulty is on knowing which expression to use to get the right ingredients and % of ingredient in the product depending on the dates...