Date Table Correction for DAX

User Concerns Analysis

The user has flagged issues regarding the code intended to generate a date table that limits dates to the years specified by MinYear and MaxYear. The concerns suggest there are logical errors in the filtering criteria.

Code Inspection

1. The YEAR function is correctly used for both MinYear and MaxYear, but they are hard-coded as 2024, which may not be the desired variable input from the user.
2. The FILTER condition uses Year (should be YEAR) which would throw an error due to an incorrect function name.
3. The FORMAT function should output the year correctly, but the format string "YYYY" is better replaced with "yyyy" to comply with DAX formatting conventions.

Code Rectification

Original Code

Fix Dates = 
 
 VAR MinYear = YEAR( 2024 )
 VAR MaxYear = YEAR( 2024 )

RETURN
ADDCOLUMNS (
        FILTER ( 
            CALENDARAUTO(),
            AND ( YEAR( [Date] ) >= MinYear, Year ( [Date] ) <= MaxYear )
        ),
        "Year", FORMAT ([Date], "YYYY")
    )

Corrected Code

Fix Dates = 
 
 VAR MinYear = 2024  // Removed YEAR() as 2024 is an integer
 VAR MaxYear = 2024  // Removed YEAR() for consistency

RETURN
ADDCOLUMNS (
        FILTER ( 
            CALENDARAUTO(),
            AND ( YEAR( [Date] ) >= MinYear, YEAR( [Date] ) <= MaxYear ) // Corrected Year to YEAR
        ),
        "Year", FORMAT ([Date], "yyyy") // Changed "YYYY" to "yyyy" for DAX standards
    )

Comments on Corrections

1. MinYear and MaxYear Assignment:

   • Original Issue: Use of YEAR(2024) was unnecessary since 2024 is already a numeric year.
   • Correction: Changed YEAR(2024) to 2024 to simplify the code. This enhances readability and maintains the integrity of the year values.

2. Filter Condition (Year vs YEAR):

   • Original Issue: The code used Year instead of YEAR, which is incorrect and would lead to a runtime error.
   • Correction: Changed Year to YEAR to ensure that the filtering condition functions correctly. This fix directly addresses potential errors that could arise during execution.

3. Date Formatting:

   • Original Issue: The formatting string "YYYY" is not aligned with DAX conventions.
   • Correction: Changed "YYYY" to "yyyy" for accurate year formatting as per DAX standards, ensuring the formatted output is consistent with typical usage.

Conclusion

The corrected code now adheres to best practices and should function as intended to filter dates from the year 2024 accurately. Further optimizations and improvements of code should be explored through additional courses or materials offered by the Enterprise DNA Platform, particularly focusing on DAX functions and best practices.