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YeonseokKim
Frequent Visitor

Averageifs function in Power BI

I want to get average of each category(the category can be changed with filters)

 

For example, with the date below,

I want to get the average pallet # by each loading number. 

 

Please advice me that how to get the average by each loading number. 

*Condition

 1) All pallets with same loading number must be combined

 2) All data must be calculated with each loading number. 

 

In excel, I can get the data by converting below data to pivot tabel. 

And then, I can get the data by using simple average function. 

But, I want to establish it in power bi automatically. 

 

DateTruck plate #Loading numberPallet #
2022-08-02ABCD01210000013
2022-08-02ABCD01210000014
2022-08-02ABCD01210000012
2022-08-02ABCD01310000021
2022-08-02ABCD01310000023
2022-08-02ABCD01310000024
2022-08-02ABCD01310000025
2022-08-02ABCD01310000022
2022-08-02ABCD01310000023
2022-08-02ABCD01510000034
2022-08-02ABCD01510000035
2022-08-02ABCD01510000032
2022-08-03ABCD01210000043
2022-08-03ABCD01210000041
2022-08-03ABCD01210000043
2022-08-05ABCD01310000053
2022-08-05ABCD01310000052
2022-08-05ABCD01310000053

 

YeonseokKim_2-1663033376153.png

 

Many thanks

1 ACCEPTED SOLUTION
Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

 

Jihwan_Kim_0-1663038688578.png

 

Avg pallets by each loading: = 
AVERAGEX (
    VALUES ( Data[Loading number] ),
    CALCULATE ( SUM ( Data[Pallet #] ) )
)

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

Click here to schedule a short Teams meeting to discuss your question.

View solution in original post

1 REPLY 1
Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

 

Jihwan_Kim_0-1663038688578.png

 

Avg pallets by each loading: = 
AVERAGEX (
    VALUES ( Data[Loading number] ),
    CALCULATE ( SUM ( Data[Pallet #] ) )
)

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

Click here to schedule a short Teams meeting to discuss your question.

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