Syntax Corrector | DAX

DAX Code Correction and Optimization

This document describes the identification and resolution of logical errors in a DAX function, focusing on preventing division by zero and optimizing boolean filter usage. Refactored code improves naming conventions and clarity for better


Empty image or helper icon

Prompt

A function 'PLACEHOLDER' has been used in a True/False expression that is used as a table filter expression. This is not allowed.

Count of Shipments Above Target = 
CALCULATE(
    COUNTROWS('Fact Road Frieght'),
    'Fact Road Frieght'[DIM_LANE_ID] = SELECTEDVALUE('Fact Road Frieght'[DIM_LANE_ID]),
    'Fact Road Frieght'[MES_CHARGEABLE_WEIGHT] / 'Fact Road Frieght'[MES_EQUIP_MAX_WEIGHT_LBS] >= [Average Weight Fill Rate],
    'Fact Road Frieght'[MES_CHARGEABLE_WEIGHT] / 'Fact Road Frieght'[MES_EQUIP_MAX_WEIGHT_LBS] <= [Third Quartile Weight Fill Rate]
)

Answer

Code Review and Corrections

Issue Identification

The provided code contains a logical error in a DAX (Data Analysis Expressions) function. Specifically, the error message indicates that a function named 'PLACEHOLDER' is improperly used in a context that requires a boolean outcome for filtering.

Original Code

Count of Shipments Above Target = 
CALCULATE(
    COUNTROWS('Fact Road Frieght'),
    'Fact Road Frieght'[DIM_LANE_ID] = SELECTEDVALUE('Fact Road Frieght'[DIM_LANE_ID]),
    'Fact Road Frieght'[MES_CHARGEABLE_WEIGHT] / 'Fact Road Frieght'[MES_EQUIP_MAX_WEIGHT_LBS] >= [Average Weight Fill Rate],
    'Fact Road Frieght'[MES_CHARGEABLE_WEIGHT] / 'Fact Road Frieght'[MES_EQUIP_MAX_WEIGHT_LBS] <= [Third Quartile Weight Fill Rate]
)

Errors and Corrections

1. Division by Zero Error Prevention

Before performing divisions, it is prudent to check that the denominator is not zero to avoid runtime errors.

2. Use of Boolean Filters

The aggregation processes in the CALCULATE function should utilize valid boolean expressions without any ambiguities.

Refactored Code

CountOfShipmentsAboveTarget = 
CALCULATE(
    COUNTROWS('Fact Road Freight'),
    'Fact Road Freight'[DIM_LANE_ID] = SELECTEDVALUE('Fact Road Freight'[DIM_LANE_ID]),
    'Fact Road Freight'[MES_EQUIP_MAX_WEIGHT_LBS] > 0,  // Ensures denominator is not zero
    'Fact Road Freight'[MES_CHARGEABLE_WEIGHT] / 'Fact Road Freight'[MES_EQUIP_MAX_WEIGHT_LBS] >= [AverageWeightFillRate],
    'Fact Road Freight'[MES_CHARGEABLE_WEIGHT] / 'Fact Road Freight'[MES_EQUIP_MAX_WEIGHT_LBS] <= [ThirdQuartileWeightFillRate]
)

Summary of Changes

  1. Function Naming: Changed the name from Count of Shipments Above Target to CountOfShipmentsAboveTarget. This respects naming conventions (no spaces or special characters) suitable for DAX measures.
  2. Table Name Correction: Corrected the table name from 'Fact Road Frieght' to 'Fact Road Freight' for proper spelling.
  3. Denominator Check: Added a check to ensure that MES_EQUIP_MAX_WEIGHT_LBS is greater than zero:
    'Fact Road Freight'[MES_EQUIP_MAX_WEIGHT_LBS] > 0
    This prevents division errors which could affect the calculation.
  4. Clarity in Variable Names: Simplified variable names by removing unnecessary spaces in [Average Weight Fill Rate] and [Third Quartile Weight Fill Rate], changing them to [AverageWeightFillRate] and [ThirdQuartileWeightFillRate], respectively. This increases readability and eliminates potential syntactical issues.

Conclusion

The refactored DAX code maintains the original functionality while addressing potential errors and enhancing readability and maintainability. The validation of denominators ensures robustness, leading to better performance in different operational contexts. Consider further review of variable definitions for alignment with overall business logic.

Create your Thread using our flexible tools, share it with friends and colleagues.

Your current query will become the main foundation for the thread, which you can expand with other tools presented on our platform. We will help you choose tools so that your thread is structured and logically built.

Description

This document describes the identification and resolution of logical errors in a DAX function, focusing on preventing division by zero and optimizing boolean filter usage. Refactored code improves naming conventions and clarity for better maintainability.