Sunday 31 December 2023

What are the column values that DAX supports? Power BI interview questions and answers 225

 What are the column values that DAX supports?

DAX (Data Analysis Expressions) supports a variety of column values to enable diverse calculations and data manipulation within Power BI models. Here's a breakdown of the key types:

1. Text Values:

  • Text: Represents plain text, such as names, descriptions, or addresses.

  • Formatted Value: Stores text with specific formatting, often used for currency, dates, or percentages.

2. Numeric Values:

  • Whole Number: Stores integer values without decimals (e.g., 1, 5, 100).

  • Decimal Number: Stores numerical values with decimal places (e.g., 3.14, 125.50).

  • Currency: Represents monetary values with specific currency formatting.

  • Fixed Decimal Number: Stores decimal numbers with a fixed number of decimal places, ensuring consistent precision in calculations.

3. Date and Time Values:

  • Date: Stores calendar dates (e.g., 2023-12-30).

  • Time: Stores time values (e.g., 10:30:00 AM).

  • Date/Time: Combines date and time information (e.g., 2023-12-30 10:30:00 AM).

  • Duration: Represents time intervals (e.g., 2 days, 4 hours).

4. Logical Values:

  • True/False: Stores Boolean values, indicating true or false conditions.

5. Other Values:

  • Blank: Represents empty or missing values.

  • Error: Indicates an error in a calculation or data value.

  • Table: Represents a table of data within a DAX formula, allowing for complex calculations across multiple columns and rows.

Important Considerations:

  • DAX is case-sensitive: It distinguishes between uppercase and lowercase letters in text values.

  • Data types matter: Ensure compatibility when performing calculations or comparisons between different column values.

  • Use conversion functions: DAX provides functions like CONVERT and VALUE to convert between data types within formulas if needed.

  • Handle errors gracefully: Use error handling functions like IFERROR to prevent formula errors from affecting your results.

Understanding these column value types is crucial for crafting accurate DAX formulas, performing meaningful calculations, and ensuring valid data representation within your Power BI visualizations and reports.

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