Am trying to sort a ranking column in matrix based on IF condition, but the Rankx doesn't accept a formula other than ASC/TRUE/1 0R DESC/FALSE/0 .
The if condition basically provide ouput as either 1 or 0.
Ex:
VAR A= IF(x>y,1,0)
Return Rankx(table, expression,,A,Dense)
Change your measure to:
vyz =
VAR A = IF(TODAY()> TODAY()-1
, Rankx(ALL('Table'), [Measure],, 1, Dense) // TRUE order 1
,Rankx(ALL('Table'), [Measure],, 0, Dense) // FALSE order 0
)
Return
A
Related
I am new with Dax. I have a matrix table in Power BI which has been imported from Excel. I need to create a dynamic DAX measure which will give me the values if both conditions are filtered.
This is a very big table and the measure has to be dynamic as values keep changing.
For eg:
Criteria : A, B, C
Code : 101,102,103
Values: 94, 50, 63
If Criteria is A and Code is 101 then value = 94
If Criteria is B and Code is 102 then value = 50
If you need measure based on columns that you put in your matrix on rows or columns, you may use this.
YourMeasure = IF( MAX( Tab[fruit] ) = "Apple" & MAX( Tab[size] ) = "Big", 1, 0 )
Probably what you are after, and what is safer, is adding new calculated column in your source table:
CalculatedColumn =
IF(
Tab[friut] = "Apple" // condition 1
& // AND opperator
Tab[size] = "Big", // condition 2
1, // result if true
0 // result if false
)
Where 1 is returned if both conditions are met.
If your condition path is complex you might use SWITCH function.
SWITCH( TRUE(),
Tab[column1] = "Apple" & Tab[column2]="Big", "Big Fruit",
Tab[column1] = "Carot" & Tab[column2]="Small", "Small Vegetable",
"Other thing"
)
How to eliminate "BLANK" when the criteria does not meet? I'm trying to get count of rows with value greater than 0 else return nothing or 0 using DAX measure. I have negative values also in my column so just trying to count only above 0. Any suggestions? With below I can achieve count but if there are no rows meeting the criteria it returns "BLANK"
Measure=CALCULATE(COUNT('TableX'[column]),FILTER('TableX','TableX'[column]>0))
Try adding a zero:
Measure =
CALCULATE (
COUNT ( 'TableX'[column] ),
FILTER ( 'TableX', 'TableX'[column] > 0 )
) + 0
You can also wrap the measure with the FORMAT function to output as text, which turns a blank into an empty string "".
Measure =
FORMAT (
CALCULATE (
COUNT ( 'TableX'[column] ),
FILTER ( 'TableX', 'TableX'[column] > 0 )
),
"0"
)
Use whatever custom format you'd prefer to display the result as.
I have a table which looks like this:
I need to calculate sum of all numbers in column :ADD , IF the number in column CHANGE is 0 AND column DELETE is 0.
The actual data looks like below. Its same as above. The items with red backets should be filtered out because there are values against delete and change for each unique number in MEMO column.
Create a Measure as below to Exclude records from the list-
exclude =
VAR current_row_tsframe_account = MIN(your_table_name[TSframe_Account])
VAR current_row_tsframe_memo = MIN(your_table_name[TSframe_Memo])
VAR find_delete_change_for_memo =
CALCULATE(
COUNT(your_table_name[TSframe_Memo]),
FILTER(
ALL(your_table_name),
your_table_name[TSframe_Memo] = current_row_tsframe_memo
&& your_table_name[TSframe_Account] = current_row_tsframe_account
&& your_table_name[TSframe_Mode] IN {"CHANGE","DELETE"}
)
)
RETURN
IF(
find_delete_change_for_memo > 0,
"Yes",
"No"
)
The above Measure will return Yes/No per row. You can now Apply visual/page level filter so that records only show where measure Exclude = No. Now this below measure will show your expected value-
total = SUM(your_table_name[TSframe_Memo])
I would like to imitate NTILE function of SQL in DAX. For a given number of bins, I would like a measure which returns the bin number for any value in a column. The bins should contain more or less equal number of observations.
So the parameters are:
number of bins
test value
table column
Here is something similar in Excel:
= MAX( ROUNDUP( PERCENTRANK($A$1:$A$8, A1) *4, 0),1)
In DAX, you can use the PERCENTILE.INC as the base for such a calculation.
Bucket =
VAR N = 4
VAR Percentiles =
ADDCOLUMNS (
GENERATESERIES ( 1, N ),
"Percentile", PERCENTILE.INC ( Table1[Col1], [Value] / N )
)
RETURN
MINX ( FILTER ( Percentiles, Table1[Col1] <= [Percentile] ), [Value] )
For your data, the Percentiles table variable looks like this:
Value Percentile
1 24.8
2 66.5
3 81.8
4 85.0
Then for each row in your original table, you take the minimum value from the calculated table where that Percentile column is less than or equal to the original table column Col1 in that row.
Note that the above is for a calculated column. For a measure, you'd need to specify an aggregation for Table1[Col1] in the last line (e.g. MAX(Table1[Col1])).
How to use if else for DAX in the measure. If row value =1 then take the var a calculated value else take the var b calculated value
x:=var a=[DATA1]
var b=[DATA2]
return(if([HOUR]=1),a,b)
I get error using above formula
It seems your problem is that you are not aggregating the columns while creating the measure. Measures only works aggregating data in a given context, generally if you want to perform calculations per row you should use a calculated column instead of a measure.
And the DAX expression for a calculated column should be:
MyColumn = IF([HOUR] = 1, [DATA1], [DATA2])
Otherwise if you want to use a measure you have to explicitely aggregate the column values in the given context, i.e:
MyMeasure =
VAR a =
FIRSTNONBLANK ( ExampleTable[Data1], 0 )
VAR b =
FIRSTNONBLANK ( ExampleTable[Data2], 0 )
RETURN
IF ( SUM ( ExampleTable[Hour] ) = 1, a, b )
Or simply:
MyMeasure =
IF (
SUM ( [Hour] ) = 1,
FIRSTNONBLANK ( ExampleTable[Data1], 0 ),
FIRSTNONBLANK ( ExampleTable[Data2], 0 )
)
Let me know if this helps.