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Hi everyone,
I am new to PowerBI and I am doing a project for my master. My issue is the following:
I have a table like the following:
| cluster | color | value1 | weights |
| A | blu | 6,8 | 44 |
| A | green | 7,8 | 10 |
| D | blu | 7,9 | 22 |
| B | green | 8,2 | 34 |
| C | green | 8,4 | 23 |
| C | blu | 6,8 | 22 |
| B | blu | 8,4 | 23 |
| A | green | 7,8 | 11 |
The idea is to select one of the 4 clusters (i.e. A) as a filter and have a measure that computes the weighted average of value1 with the weights of the rest of the clusters (B C D).
I've tried several things but I am not even sure if something like this is possible.
The formula that I want to apply is:
SUM(table[value1 (filtered for cluster A)] * table[weights (notA)]) / SUM[weights(notA)]
Thank you in advance 🙂
edit: wrong first term in sum
Solved! Go to Solution.
Hi @Anonymous ,
According to your descriptin, in my understanding, if A is selected in the filter, your expected result is (6.8*44+7.8*10+7.8*11) / (22+34+23+22+23). Here is my solution.
Create a measure.
Measure =
VAR _select =
SUMX (
FILTER ( ALL ( 'myTable' ), 'myTable'[cluster] IN VALUES ( myTable[cluster] ) ),
'myTable'[value1] * 'myTable'[weights]
)
VAR _unselect =
SUMX (
FILTER (
ALL ( 'myTable' ),
NOT ( 'myTable'[cluster] IN VALUES ( myTable[cluster] ) )
),
'myTable'[weights]
)
RETURN
DIVIDE ( _select, _unselect )
Get the result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
According to your descriptin, in my understanding, if A is selected in the filter, your expected result is (6.8*44+7.8*10+7.8*11) / (22+34+23+22+23). Here is my solution.
Create a measure.
Measure =
VAR _select =
SUMX (
FILTER ( ALL ( 'myTable' ), 'myTable'[cluster] IN VALUES ( myTable[cluster] ) ),
'myTable'[value1] * 'myTable'[weights]
)
VAR _unselect =
SUMX (
FILTER (
ALL ( 'myTable' ),
NOT ( 'myTable'[cluster] IN VALUES ( myTable[cluster] ) )
),
'myTable'[weights]
)
RETURN
DIVIDE ( _select, _unselect )
Get the result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hey @Anonymous ,
it would be easier with a real file or tables. But the following approach should do it:
Weighted Average =
VAR vSelectedClusters = VALUES ( myTable[cluster] )
VAR vWeightNotCluster =
CALCULATE (
SUM ( myTable[weights] ),
ALL ( myTable ),
NOT ( myTable[weights] ) IN vSelectedClusters
)
RETURN
( SUM ( myTable[weights] ) * vWeightNotCluster ) / vWeightNotCluster
If you need any help please let me know.
If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍
Best regards
Denis
Blog: WhatTheFact.bi
Follow me: twitter.com/DenSelimovic
Hi, thanks for your reply!
I tried this answer and it says there's an error:
Error Message:
MdxScript(Model) (47, 45) Calculation error in measure 'overall_pivot_table'[Weighted Average]:
The function 'CONTAINSROW' does not support the comparison between values of type Text and type Integer.
Try to use the functions VALUE or FORMAT to convert one of the values.
I translated from italian.
I edit my post with the right formula.
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