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Labs

Work with Iteration DAX Functions in Power BI

In this lab, you’ll practice using iteration (X) functions in DAX to perform custom aggregations, ranking, and summarizations in Power BI. When you’re finished, you’ll have a dynamic income analysis report to uncover trends and insights for decision-making.

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Lab Info
Rating
(28)
Level
Beginner
Last updated
Aug 04, 2025
Duration
1h 5m

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Table of Contents
  1. Challenge

    Get Started in the Lab Environment

    Here are the initial instructions and explanation of the lab environment. Read this while your environment is busy creating itself from nothing. Yes, this violates physics; we know. How fun!

  2. Challenge

    Iteration Functions

    You will understand the concept of iteration functions in DAX and prepare the environment for the subsequent challenges.

  3. Challenge

    The MINX Iterator Function

    The MINX function calculates the minimum value of an expression over a table. Here, you will determine the minimum annual income for each occupation.

  4. Challenge

    The MAXX Iterator Function

    You will determine the highest annual income for each occupation.

  5. Challenge

    The SUMX Iterator Function

    You will calculate the total annual income per occupation.

  6. Challenge

    The AVERAGEX Iterator Function

    You will calculate the average annual income for each occupation.

  7. Challenge

    The RANKX Iterator Function

    Finally, you will rank occupations based on their annual income.

  8. Challenge

    The Last Challenge

    Welcome to the final challenge! This is your last chance to experiment in the environment. Clicking Finish Lab will end this little world that flittered into existence just for you.

About the author

Bismark is a BI & Big Data Engineer obsessed with applying his knowledge in computer engineering and mathematics in the fields of Data Science, Artificial Intelligence, Machine Learning, Big Data, and Human Computer Interaction to find disease cures, provision of better healthcare and technology, autonomous systems, education and productivity through research into novel methods and algorithms for computation.

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