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Hey everyone,
Thanks a bunch for all your help so far.
I need to make a measure that shows the top 5 values for each column in this image.
The visual should change when I filter the data by any attribute.
Thanks a lot!
Solved! Go to Solution.
Hi @Anonymous,
I don't know your contex and the model you have, but based on the one table you showed, I've included two possible solutions below.
1. Dynamically changing ranking - this means that you will only see columns that are not empty, and additionally, in the future, you can create a slicer that allows the user to manipulate the number of columns (Rank) - for example, show only TOP 3 instead of TOP 5.
To do this, create a column in the table that will determine the ranking for each Branch.
Rank =
VAR CurrentBranch = 'Raw Data'[Branch]
VAR CurrentAmount = 'Raw Data'[Amount]
RETURN
RANKX (
FILTER ( 'Raw Data', 'Raw Data'[Branch] = CurrentBranch ),
'Raw Data'[Amount],
CurrentAmount,
DESC,
DENSE
)
And then one measure that will dynamically show the values based on the column.
Rank Value =
CALCULATE (
MAX ( 'Raw Data'[Amount] ),
FILTER ( 'Raw Data', 'Raw Data'[Rank] = MAX('Raw Data'[Rank]) )
)
Result:
2. The second option is to create a dynamic ranking checker - instead of creating a column (which in fact increases the size of the dataset), you create a measure for each Rank - the downside here is that you need to know how much Rank you want to show and it is constant.
To do this, you create a measure for each rank:
Rank 1 Value =
CALCULATE (
MAX ( 'Raw Data'[Amount] ),
FILTER (
'Raw Data',
RANKX (
FILTER ( 'Raw Data', 'Raw Data'[Branch] = EARLIER('Raw Data'[Branch]) ),
'Raw Data'[Amount],
,
DESC,
DENSE
) = 1
)
)
Similarly for each other.
The Result:
If you have any further questions, feel free to ask.
If I helped, accept the post as a solution and give a kudos. 👍 Thanks! 😁
Hi @Anonymous,
I don't know your contex and the model you have, but based on the one table you showed, I've included two possible solutions below.
1. Dynamically changing ranking - this means that you will only see columns that are not empty, and additionally, in the future, you can create a slicer that allows the user to manipulate the number of columns (Rank) - for example, show only TOP 3 instead of TOP 5.
To do this, create a column in the table that will determine the ranking for each Branch.
Rank =
VAR CurrentBranch = 'Raw Data'[Branch]
VAR CurrentAmount = 'Raw Data'[Amount]
RETURN
RANKX (
FILTER ( 'Raw Data', 'Raw Data'[Branch] = CurrentBranch ),
'Raw Data'[Amount],
CurrentAmount,
DESC,
DENSE
)
And then one measure that will dynamically show the values based on the column.
Rank Value =
CALCULATE (
MAX ( 'Raw Data'[Amount] ),
FILTER ( 'Raw Data', 'Raw Data'[Rank] = MAX('Raw Data'[Rank]) )
)
Result:
2. The second option is to create a dynamic ranking checker - instead of creating a column (which in fact increases the size of the dataset), you create a measure for each Rank - the downside here is that you need to know how much Rank you want to show and it is constant.
To do this, you create a measure for each rank:
Rank 1 Value =
CALCULATE (
MAX ( 'Raw Data'[Amount] ),
FILTER (
'Raw Data',
RANKX (
FILTER ( 'Raw Data', 'Raw Data'[Branch] = EARLIER('Raw Data'[Branch]) ),
'Raw Data'[Amount],
,
DESC,
DENSE
) = 1
)
)
Similarly for each other.
The Result:
If you have any further questions, feel free to ask.
If I helped, accept the post as a solution and give a kudos. 👍 Thanks! 😁
That work very well, Thank a lot!
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