Advanced DAX Tutorial | Module 13 | DAX Information Functions in Power BI
Many Power BI reports fail because developers forget to check what type of value their data actually contains. In this Advanced DAX tutorial, you will learn how to detect blanks, errors, text, numbers, and logical values using DAX Information Functions.
In this module, we will explore essential functions like ISBLANK(), ISERROR(), ISLOGICAL(), ISNUMBER(), ISNONTEXT(), and ISTEXT() and understand how they return TRUE or FALSE to validate values inside Power BI models. These functions are extremely useful when handling dirty data, blank fields, incorrect data types, or unexpected calculation errors in real-world business dashboards.
By the end of this tutorial, you will clearly understand how to build safer DAX formulas, avoid calculation errors, and improve data reliability in Power BI reports.
Functions Covered
ISBLANK(Value) – Checks whether a value is blank
ISERROR(Value) – Checks whether a value returns an error
ISLOGICAL(Value) – Checks if the value is TRUE or FALSE
ISNUMBER(Value) – Checks if the value is numeric
ISNONTEXT(Value) – Checks if the value is not text
ISTEXT(Value) – Checks whether a value is text
These DAX Information Functions are critical for building robust and production-ready Power BI solutions.
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00:00 Why Data Validation Matters in Power BI
00:22 Common Developer Mistake With Data Types
01:05 Understanding DAX Information Functions
01:40 ISBLANK() – Detect Missing Values
02:25 ISERROR() – Identify Calculation Errors
03:10 ISLOGICAL() – Detect TRUE/FALSE Values
03:10 ISNUMBER() – Validate Numeric Data
03:50 ISNONTEXT() – Identify Non-Text Values
04:20 ISTEXT() – Detect Text Fields in DAX
04:50 Practical Use Cases in Business Reports
05:15 Best Practices for Safe DAX Formulas
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