Forum Discussion
Percentage with slicer
- 1 year ago
Hi Perfecta
You can add an index or rank column in the query editor and incorporate either of these columns when ranking column categories.
Category Rank (No Tie) = RANKX ( ALLSELECTED ( 'Table'[Category] ), CALCULATE ( ( SUM ( 'Table'[Score] ) * 10000000 ) + SUM ( 'Table'[Rank] ) ), , DESC, DENSE )Category Rank % = DIVIDE ( [Category Rank (No Tie)], COUNTROWS ( ALLSELECTED ( 'Table'[Category] ) ) )You can evalute Category Rank % over a table or table expression which is your case is ALLSELECTED(Orders[SKU]) and filter it depending on the min and max values in the numeric/percentage parameter.
Filtered Category Rank % = MAXX ( FILTER ( SUMMARIZECOLUMNS ( 'Table'[Category], "@rank %", [Category Rank %] ), [@rank %] >= MIN ( Percentage[Percentage] ) && [@rank %] <= MAX ( Percentage[Percentage] ) ), [@rank %] )You can use a similar measure above to return the total value (which is score in my example) within the percentage range selected in a card which doesn't have a row context.
Score within Filtered Category Rank % = SUMX ( FILTER ( SUMMARIZECOLUMNS ( 'Table'[Category], "@rank %", [Category Rank %], "@score", CALCULATE ( SUM ( 'Table'[Score] ) ) ), [@rank %] >= MIN ( Percentage[Percentage] ) && [@rank %] <= MAX ( Percentage[Percentage] ) ), [@score] )Please see the attached pbix for the details.
- Anonymous1 year ago
Hi Perfecta ,
If your SKU always follows a fixed-length format (e.g., always 6 characters), this logic works perfectly. But if SKU lengths vary, you might want to pad the string or normalize it first to avoid misalignment in the LEFT, MID, RIGHT operations. Also, for clarity and maintainability, consider splitting this into variables.SKU Rank =
VAR BaseQty = SUM('Orders'[QTY])
VAR SKUValue = MAX('Orders'[SKU])
VAR TieBreaker = UNICODE(LEFT(SKUValue, 1)) * 10000 +
UNICODE(MID(SKUValue, 2, 1)) * 1000 +
UNICODE(RIGHT(SKUValue, 3)) * 100 +
UNICODE(RIGHT(SKUValue, 2)) * 10 +
UNICODE(RIGHT(SKUValue, 1)) +
RANKX(ALLSELECTED('Orders'[SKU]),SKUValue,,ASC,DENSE ) / 1000000
RETURN
RANKX(ALLSELECTED('Orders'[SKU]),BaseQty * 1000000 + TieBreaker,,DESC,DENSE)Same logic, but much easier to debug and maintain.
Regards,
Akhil.
Hi Perfecta
You can add an index or rank column in the query editor and incorporate either of these columns when ranking column categories.
Category Rank (No Tie) =
RANKX (
ALLSELECTED ( 'Table'[Category] ),
CALCULATE ( ( SUM ( 'Table'[Score] ) * 10000000 ) + SUM ( 'Table'[Rank] ) ),
,
DESC,
DENSE
)
Category Rank % =
DIVIDE (
[Category Rank (No Tie)],
COUNTROWS ( ALLSELECTED ( 'Table'[Category] ) )
)
You can evalute Category Rank % over a table or table expression which is your case is ALLSELECTED(Orders[SKU]) and filter it depending on the min and max values in the numeric/percentage parameter.
Filtered Category Rank % =
MAXX (
FILTER (
SUMMARIZECOLUMNS ( 'Table'[Category], "@rank %", [Category Rank %] ),
[@rank %] >= MIN ( Percentage[Percentage] )
&& [@rank %] <= MAX ( Percentage[Percentage] )
),
[@rank %]
)
You can use a similar measure above to return the total value (which is score in my example) within the percentage range selected in a card which doesn't have a row context.
Score within Filtered Category Rank % =
SUMX (
FILTER (
SUMMARIZECOLUMNS (
'Table'[Category],
"@rank %", [Category Rank %],
"@score", CALCULATE ( SUM ( 'Table'[Score] ) )
),
[@rank %] >= MIN ( Percentage[Percentage] )
&& [@rank %] <= MAX ( Percentage[Percentage] )
),
[@score]
)
Please see the attached pbix for the details.
Hi danextian , Thanks for your response.
In my report I want to use a slicer for date too .Based on that the no:of sku varies and ranking also need to recalculate.Ranking is not fixed one its dynamic.I got solution right now .sharing Updated dax code