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Hello!
Say I have a table with two number columns (A and B).
I have created a measure (not a calculated column) (C) that calculates the differense between the columns (A - B)
A B C
5 3 2
7 2 5
6 4 2
4 2 2
Now I would like to show the most common value (which in this case is 2) in a card viz based on the measure I've created.
How can I create such a measure?
Thanks!
Solved! Go to Solution.
Hi,
Please check the below picture and the attached pbix file.
All measures are in the attached pbix file.
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.
Simple enough by Excel worksheet formula.
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
@Clay82 you can achieve the end goal with thfollowing measure
_diff = SUM(tbl[A])-SUM(tbl[B])
Measure =
VAR _1 =
ADDCOLUMNS ( tbl, "diff", [_diff] )
VAR _2 =
ADDCOLUMNS (
_1,
"count", COUNTX ( FILTER ( _1, EARLIER ( [diff] ) = [diff] ), [diff] )
)
VAR _3 =
ADDCOLUMNS (
_2,
"rank", RANKX ( FILTER ( _2, EARLIER ( [count] ) < [count] ), [count],, DESC, DENSE )
)
RETURN
MAXX ( FILTER ( _3, [rank] = 1 ), [diff] )
Hi,
Please check the below picture and the attached pbix file.
All measures are in the attached pbix file.
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.
Wow Jihwan it worked perfectly! Thank you!
Also I need the same for column B (which is in fact a measure based on a calculated column. So another measure to find the most common value in column B. Is it possible for you to help me?
Hi,
I am not sure if I understood your question correctly, but please check the below picture and the attached pbix file.
The most common value from Column B: =
VAR groupby_columnB =
GROUPBY ( Data, Data[B], "@count_rows", SUMX ( CURRENTGROUP (), 1 ) )
VAR max_countrows =
MAXX ( groupby_columnB, [@count_rows] )
RETURN
MAXX ( FILTER ( groupby_columnB, [@count_rows] = max_countrows ), Data[B] )
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.
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