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Hi all
I have the below sample data set.
| Identifier | Value |
| A | 0.05 |
| A | 0.2925 |
| A | 0.1575 |
| A | 0.065 |
| A | 0.034 |
| A | 0.065 |
| A | 0.136 |
| A | 0.1 |
| A | 0.1 |
| B | 0.034 |
| B | 0.2925 |
| B | 0.136 |
| B | 0.1 |
| B | 0.1575 |
| B | 0.1 |
| B | 0.065 |
| B | 0.05 |
| B | 0.065 |
I plotted a table with two columns - 'Identifier' and 'Sum' and am interested to flag out exceptions. Exceptions are identifiers whose total sum of all rows does not equal to 1.
In the above 2 instances, the sum of all rows with Identifiers A / B add up to 1 in Excel. However it flags as an exception when applied in PowerBi. Can anyone explain to me why that might be the case (I am thinking it could be a rounding issue in Powerbi) and whether there are any ways to resolve this? I do not want Identifiers A / B to be flagged as exceptions.
Thanks in advance.
Solved! Go to Solution.
Hi @powerbidu
Column values of type "Decimal number" are inherently approximate, and comparing two Decimal number values for equality may give unexpected results (see documentation here).
Potential solutions:
1. Change the Value column to type "Fixed decimal number", which can represent values with at most four decimal places, and is internally stored as an integer value divided by 10^4.
2. Leave Value's type as "Decimal number" but create a flag with tolerance built-in.
For example:
Flag =
VAR Tolerance = 1E-8
VAR ResultBool =
ABS ( SUM ( Data[Value] ) - 1 ) > Tolerance
VAR ResultInt =
INT ( ResultBool )
RETURN
ResultInt
Then add a visual-level filter of Flag = 1:
Having said all that, I couldn't replicate your issue with the sample data your posted. Both appeared to sum to exactly 1 for both Identifiers A & B with a column of Decimal number type. However, in general, it's best not to rely on decimal values summing exactly to a particular value.
Do any of the above work for you?
Hi @powerbidu
Column values of type "Decimal number" are inherently approximate, and comparing two Decimal number values for equality may give unexpected results (see documentation here).
Potential solutions:
1. Change the Value column to type "Fixed decimal number", which can represent values with at most four decimal places, and is internally stored as an integer value divided by 10^4.
2. Leave Value's type as "Decimal number" but create a flag with tolerance built-in.
For example:
Flag =
VAR Tolerance = 1E-8
VAR ResultBool =
ABS ( SUM ( Data[Value] ) - 1 ) > Tolerance
VAR ResultInt =
INT ( ResultBool )
RETURN
ResultInt
Then add a visual-level filter of Flag = 1:
Having said all that, I couldn't replicate your issue with the sample data your posted. Both appeared to sum to exactly 1 for both Identifiers A & B with a column of Decimal number type. However, in general, it's best not to rely on decimal values summing exactly to a particular value.
Do any of the above work for you?
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