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Hello!
I need to find and select the 3 highest values of each row (amount of products per month) from the table and calculate the average.
How could I do this by creating a measure using DAX?
Solved! Go to Solution.
It'd be better if you share a sample of your data here.
BTW, try this measure:
Top 3 Average =
AVERAGEX (
FILTER (
SUMMARIZE (
'Table',
'Table'[Product],
'Table'[Value],
"Rank",
RANKX (
ALLEXCEPT ( 'Table', 'Table'[Product] ),
CALCULATE ( MAX ( 'Table'[Value] ) ),
,
DESC,
DENSE
)
),
[Rank] <= 3
),
[Value]
)
Output:
Download Link:https://gofile.io/d/4F5FfN
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos ✌️!!
One tip when removing filters of month name when calculating TOPN ( or RANKX): you also have to remove filters of the month-sorting column as well.
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.
NewMeasure=AVERAGEX(TOPN(3,ALL(DateTable[YearMonth]),[Total]),[Total])
It'd be better if you share a sample of your data here.
BTW, try this measure:
Top 3 Average =
AVERAGEX (
FILTER (
SUMMARIZE (
'Table',
'Table'[Product],
'Table'[Value],
"Rank",
RANKX (
ALLEXCEPT ( 'Table', 'Table'[Product] ),
CALCULATE ( MAX ( 'Table'[Value] ) ),
,
DESC,
DENSE
)
),
[Rank] <= 3
),
[Value]
)
Output:
Download Link:https://gofile.io/d/4F5FfN
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos ✌️!!
Hello Vahid!
What about if I do want to Avoid filters ?
I mean, if I do add an slicer and filter by product, to not affect average.
Hello @VahidDM , thanks for you reply!
Your model looks great, that's exactly it! I tried to replicate in my base and there were some inconsistencies, I believe due to the complexity compared to your example.
I have data from 2016 so far, this was a complicating factor, they are also divided into other tables:
PBI_fSales - Fact Table - Sales
"Invoice ID"
"Product ID"
"Quantity of sold products"
PBI_dProdutos - Dimension Table - Products
"Product ID"
"Short Description (name)"
"Group"
BPI_dCalendar - Dimension Table - Dates
(Year, Month, day)
We have a ready-made measure that sums up all sales, called "Total Quantity".
I need to calculate the average of the TOP 3 products considering in context the year that is being filtered, your model calculates exactly as I need it, but I believe the date context when I tried to replicate in my database conflicted because the same product appears in years / months of other periods totaled and maybe this confuses the ranking
I'm new to PBI so forgive some nonsense
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