Transcribed

Data Analysis Expressions (DAX) - Simply Explained

Jul 14, 2026 · 15m 29s
Data Analysis Expressions (DAX) - Simply Explained
Description

Many Power BI users think DAX is just Excel formulas with a new name and then wonder why their numbers don't add up. This episode explains DAX in plain English...

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Many Power BI users think DAX is just Excel formulas with a new name and then wonder why their numbers don't add up. This episode explains DAX in plain English for Power BI beginners and analysts: measures versus calculated columns, filter context, CALCULATE, iterators, time intelligence and the pitfalls to avoid.

In this episode
  • 00:00 – What DAX really is
  • 01:55 – Calculated columns versus measures
  • 03:28 – The big idea: filter context
  • 05:02 – CALCULATE, the most important function
  • 07:11 – Iterator functions
  • 09:03 – Time intelligence made simple
  • 11:06 – Common beginner pitfalls
  • 13:09 – Putting it all together

Key takeaways
  • DAX works on whole tables and columns rather than cells, so treating it like Excel formulas leads to wrong results.
  • Prefer measures over calculated columns, because measures recalculate in the current filter context while columns stay static and bloat the model.
  • Master filter context and CALCULATE, use iterators only for row-by-row logic, and mark a proper date table so time intelligence works.

Worth quoting

“Here's the thing, most people think DAX is basically Excel formulas with a different name, but it isn't. DAX is a whole different way of thinking about calculations.” – Mirko Peters (00:10)

“If the number needs to change when someone clicks a button, use a measure. If it is the same no matter what, a calculated column is fine.” – Mirko Peters (02:49)

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Information
Author Mirko Peters M365, Azure & AI
Organization m365 FM
Website -
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