Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I want to assign below measure value as Calculated column
While putting the formula of Measure in the Calculated column. I am getting a Blank column.
A_B_ =
VAR Correlation_Table =
FILTER (
ADDCOLUMNS (
VALUES ( Demo_NumericalData[Access code] ),
"Value_X", CALCULATE ( SUM ( Demo_NumericalData[A] ) ),
"Value_Y", CALCULATE ( SUM ( Demo_NumericalData[B] ) )
),
AND (
NOT ( ISBLANK ( [Value_X] ) ),
NOT ( ISBLANK ( [Value_Y] ) )
)
)
VAR Count_Items =
COUNTROWS ( Correlation_Table )
VAR Sum_X =
SUMX ( Correlation_Table, [Value_X] )
VAR Sum_X2 =
SUMX ( Correlation_Table, [Value_X] ^ 2 )
VAR Sum_Y =
SUMX ( Correlation_Table, [Value_Y] )
VAR Sum_Y2 =
SUMX ( Correlation_Table, [Value_Y] ^ 2 )
VAR Sum_XY =
SUMX ( Correlation_Table, [Value_X] * [Value_Y] )
VAR Pearson_Numerator =
Count_Items * Sum_XY - Sum_X * Sum_Y
VAR Pearson_Denominator_X =
Count_Items * Sum_X2 - Sum_X ^ 2
VAR Pearson_Denominator_Y =
Count_Items * Sum_Y2 - Sum_Y ^ 2
VAR Pearson_Denominator =
SQRT ( Pearson_Denominator_X * Pearson_Denominator_Y )
RETURN DIVIDE ( Pearson_Numerator, Pearson_Denominator )
Solved! Go to Solution.
Can you upload the file? Also I think you can rewrite the code like this:
A_B_ =
VAR Correlation_Table =
FILTER (
ADDCOLUMNS (
VALUES ( Demo_NumericalData[Access code] ),
"Value_X", CALCULATE ( SUM ( Demo_NumericalData[A] ) ),
"Value_Y", CALCULATE ( SUM ( Demo_NumericalData[B] ) )
),
[Value_X] > 0
&& [Value_Y] > 0
)
VAR Count_Items =
COUNTROWS ( Correlation_Table )
VAR Sum_X =
SUMX ( Correlation_Table, [Value_X] )
VAR Sum_X2 = Sum_X ^ 2
VAR Sum_Y =
SUMX ( Correlation_Table, [Value_Y] )
VAR Sum_Y2 = Sum_Y ^ 2
VAR Sum_XY =
SUMX ( Correlation_Table, [Value_X] * [Value_Y] )
VAR Pearson_Numerator = Count_Items * Sum_XY - Sum_XY
VAR Pearson_Denominator_X = Count_Items * Sum_X2 - Sum_X2
VAR Pearson_Denominator_Y = Count_Items * Sum_Y2 - Sum_Y2
VAR Pearson_Denominator =
SQRT ( Pearson_Denominator_X * Pearson_Denominator_Y )
RETURN
DIVIDE ( Pearson_Numerator, Pearson_Denominator )
@maqsud , any measure will not take the default value of the parameter , also Sumx here mean grand total. So if do not need grand total do not use sum/min max etc
maybe like this
A_B_ =
VAR Correlation_Table =
FILTER (
ADDCOLUMNS (
VALUES ( Demo_NumericalData[Access code] ),
"Value_X", CALCULATE ( SUM ( Demo_NumericalData[A] ) ),
"Value_Y", CALCULATE ( SUM ( Demo_NumericalData[B] ) )
),
AND (
NOT ( ISBLANK ( [Value_X] ) ),
NOT ( ISBLANK ( [Value_Y] ) )
)
)
VAR Count_Items =
COUNTROWS ( Correlation_Table )
VAR Sum_X =
( Correlation_Table, [Value_X] )
VAR Sum_X2 =
( Correlation_Table, [Value_X] ^ 2 )
VAR Sum_Y =
( Correlation_Table, [Value_Y] )
VAR Sum_Y2 =
( Correlation_Table, [Value_Y] ^ 2 )
VAR Sum_XY =
( Correlation_Table, [Value_X] * [Value_Y] )
VAR Pearson_Numerator =
Count_Items * Sum_XY - Sum_X * Sum_Y
VAR Pearson_Denominator_X =
Count_Items * Sum_X2 - Sum_X ^ 2
VAR Pearson_Denominator_Y =
Count_Items * Sum_Y2 - Sum_Y ^ 2
VAR Pearson_Denominator =
SQRT ( Pearson_Denominator_X * Pearson_Denominator_Y )
RETURN DIVIDE ( Pearson_Numerator, Pearson_Denominator )
@amitchandak, This is giving me Operator or expression '( )' is not supported in this context error.
And also giving me error as Unexpecteed tuple on line VAR SUM_X, SUM_X2, SUM_Y, SUM_Y2, SUM_XY.
@amitchandak, Here, I am trying to calculate the Pearson Correlation of Column A and Column B.
Can you upload the file? Also I think you can rewrite the code like this:
A_B_ =
VAR Correlation_Table =
FILTER (
ADDCOLUMNS (
VALUES ( Demo_NumericalData[Access code] ),
"Value_X", CALCULATE ( SUM ( Demo_NumericalData[A] ) ),
"Value_Y", CALCULATE ( SUM ( Demo_NumericalData[B] ) )
),
[Value_X] > 0
&& [Value_Y] > 0
)
VAR Count_Items =
COUNTROWS ( Correlation_Table )
VAR Sum_X =
SUMX ( Correlation_Table, [Value_X] )
VAR Sum_X2 = Sum_X ^ 2
VAR Sum_Y =
SUMX ( Correlation_Table, [Value_Y] )
VAR Sum_Y2 = Sum_Y ^ 2
VAR Sum_XY =
SUMX ( Correlation_Table, [Value_X] * [Value_Y] )
VAR Pearson_Numerator = Count_Items * Sum_XY - Sum_XY
VAR Pearson_Denominator_X = Count_Items * Sum_X2 - Sum_X2
VAR Pearson_Denominator_Y = Count_Items * Sum_Y2 - Sum_Y2
VAR Pearson_Denominator =
SQRT ( Pearson_Denominator_X * Pearson_Denominator_Y )
RETURN
DIVIDE ( Pearson_Numerator, Pearson_Denominator )
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
115 | |
100 | |
89 | |
68 | |
61 |
User | Count |
---|---|
150 | |
120 | |
100 | |
87 | |
68 |