Forum Discussion

djbuncle's avatar
djbuncle
Helper I
7 years ago
Solved

Multi-Step Calculation

Hi. The issue I'm faced with is coming up with a calculation which uses 3 other calculations that are sliced on [Months Since Reg] (on columns) however the final result will be a single value.

To explain further;

Pivot [1] is my base [% Split] calculation respective to the [Months Since Reg]

Pivot [2] shows the [Value Per Player] over the [Months Since Reg]

Pivot [3] shows the multiplcation on [% Split] * [Value Per Player] with respct to the [Months Since Reg] to get [Adj Value Per Player]

Then finally I want to calculate my [Expected Value] in green which is the sum of all [Adj Value Per Player]

 

So, as you can see it's a multi-step process where I'd need to utilise several table variables to reach my result, however my DAX skills don't extend to such expertise.

Can anyone shed some light on how I may achieve this?

Thanks.

 

 

DAX Query
SUMMARIZE
  • Anonymous's avatar
    Anonymous
    7 years ago
    [Expected Value] =
	SUMX(
		ALL ( T[Months Since Reg ] ),
		[% Split] * [Value Per Player]
	)

    You can try the above... but I think you'll need some adjustments with respect to other filters. I don't have enough information to tell you exactly what the formula should look like.

     

    By the way, [Months Since Reg] must be an attribute in a dimension (not in a fact table).

     

    Best

    D.

7 Replies

  • Stachu's avatar
    Stachu
    Community Champion
    7 years ago

    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).

    Column1Column2
    A1
    B2.5


    probably it will be something like this

    Measure =
VAR __Summary =
    SUMMARIZECOLUMNS (
        'Table',
        'Table'[Country],
        'Table'[Months Since Reg],
        "Split", [% Split],
        "VPP", [Value Per Player]
    )
RETURN
    SUMX ( __Summary, [Split] * [VPP] )
    • djbuncle's avatar
      djbuncle
      Helper I
      7 years ago

      Hey Stachu, thanks for your response - I've only got around to giving it a go now.

      The added complexity here is that the 2 values to multiply are actual calculations themselves using other tables so I can't really supply some example data easily, but here's what the calculated values would be.

       

      CountryMonthsSinceRegSplitValuePerPlayer
      Germany0                   1.00145
      Germany1                   0.14317
      Germany2                   0.09303
      Germany3                   0.07248
      Germany4                   0.06265
      Germany5                   0.05239
      Germany6                   0.04274
      Germany7                   0.04242
      Germany8                   0.04227
      Germany9                   0.03203
      Germany10                   0.03202
      Germany11                   0.03262
      Germany12                   0.02404
      Germany13                   0.02363
      Germany14                   0.02352
      Germany15                   0.02248
      Germany16                   0.02219
      Germany17                   0.01364
      Germany18                   0.01467
      Germany19                   0.011,038

       

      I ended up using SUMMARIZE instead of SUMMARIZECOLUMNS to get the calculation to work, but now when I view this in Excel it only seems to do the calculation in month 0. Note that when I'm pivoting in Excel I don't want to use the [Months Since Reg] attribute, this is just needed in memory to do the required calculation -> the end result is one value for Germany.

       

      Thanks

    • Anonymous's avatar
      Anonymous
      Not applicable
      7 years ago
      Stachu, you should never use SUMMARIZECOLUMNS in a measure. The reason being that SUMMARIZECOLUMNS does not honor filtering context introduced by CALCULATE. This function is purely for QUERIES.

      Best
      Darek