DAX Patterns: Standard time-related calculations

These are in-depth video lectures of the Standard time-related calculations pattern.

This pattern shows how to compute time-related calculations, like year-to-date, same period last year, and percentage growth using a standard calendar and relying on standard built-in time intelligence DAX functions. The built-in functions are designed in such a way that they provide the correct result for the most common requirements.

In case your requirements cannot be fulfilled by the built-in functions, or if you have a non-standard calendar, then you should use another pattern. Check the Time-related calculations introduction to figure out what is the right pattern for your scenario.


Students have access to a private discussion area where they can interact with the instructors asking questions related to the lectures and the exercises.

Curriculum

  • Standard time-related calculations

    • About the Standard time-related calculations pattern
    • Introduction
    • Building a Date table
    • Computing period-to-date totals
    • Computing period-over-period growth
    • Computing period-to-date growth
    • Comparing period-to-date with previous full period
    • Using moving annual total calculations
    • Moving averages
    • Filtering other date attributes

Collection

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DAX Patterns collection
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Student Reviews (3)
  • Doru Imbroane (Sep 18, 2020)

    It would be advantageous if you spend little time explaining the functions used (just as a reminder).

  • Feng Wang (Sep 17, 2020)

    Could we have any files for those lectures? Thanks

    • Hello Feng Wang, Thank you for your review! We have created a dedicated page for each pattern on daxpatterns.com with a "downloads" link in the "about this pattern" section on the right hand side. In your case, please visit https://www.daxpatterns.com/standard-time-related-calculations/ to find that link.
      Reply by Claire Costa (Sep 18, 2020)
  • David Johnston (Aug 15, 2020)

    As always, really great content and explanations.