Daily DAX : Day 257 ISODD
The ISODD function in Power BI's DAX (Data Analysis Expressions) language is used to determine whether a given number is odd. It returns a Boolean value: TRUE if the number is odd, and FALSE if the number is even.
Syntax
ISODD(number)
number: The value or expression to evaluate. It must resolve to a numeric value (integer or decimal). If the input is not a number, the function will return an error.
Return Value
TRUE: If the number is odd.
FALSE: If the number is even.
Key Points
The function only evaluates the integer part of a number. For example, ISODD(3.7) evaluates 3 and returns TRUE.
If the input is a non-numeric value or blank, the function returns an error.
It is often used in conditional logic, filtering, or calculations requiring differentiation between odd and even numbers.
Use Case
Scenario: You have a dataset with a column of order IDs, and you want to categorize or process records differently based on whether the ID is odd or even. For example, a retail company might want to assign odd-numbered orders to one warehouse and even-numbered orders to another for load balancing.
Example
Suppose you have a table Orders with a column OrderID. You can create a calculated column to flag whether the OrderID is odd:
dax
IsOrderIDOdd = ISODD(Orders[OrderID])
This creates a new column that returns:
TRUE for odd OrderID values (e.g., 1, 3, 5).
FALSE for even OrderID values (e.g., 2, 4, 6).
Practical Application
You can use this column in a report to:
Filter: Show only odd-numbered orders in a visual.
Conditional Formatting: Apply different colors to odd and even rows for better readability.
Logic in Measures: Use it in measures to aggregate data differently for odd and even IDs. For example:
dax
OddOrderSales =
CALCULATE(
SUM(Orders[SalesAmount]),
ISODD(Orders[OrderID]) = TRUE
)
This measure calculates total sales for orders with odd IDs.
Example with Sample Data
OrderID SalesAmount IsOrderIDOdd
1 100 TRUE
2 150 FALSE
3 200 TRUE
4 175 FALSE
You could then use IsOrderIDOdd to filter or group data, such as calculating total sales for odd-numbered orders ($300 in this case).
Notes
If you need to handle non-integer inputs, consider using ROUND or INT to preprocess the number.
For error handling, wrap ISODD in IFERROR to manage non-numeric or blank inputs gracefully.
This function is simple but useful in scenarios requiring parity-based logic in data analysis.
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