Introduction to DAX: What Every Power BI User Should Know

DAX Basics — Power BI | analytics.bi
DAX– the Power BI formula language that lets you build dynamic calculations. Once you understand the basics – measures, context and Time Intelligence – you can move from simple sums to real business analysis.

What is DAX?

DAX (Data Analysis Expressions)– is a formula language used in the Power BI model to build calculations.

DAX is used in almost every step of the Power BI model – from simple sums to complex business-logic calculations.

DAX pagrindai Power BI: measures, calculated columns, context ir time intelligence

Calculated Columns vs Measures

Calculated columns– are calculated for each row and stored in the model.

Measures– are calculated dynamically based on filters.

  • Column → a static result
  • Measure → a dynamic result
Use measures wherever you need dynamics. Calculated columns – only when you need categories or grouping.

Row context and Filter context

Row context– the calculation happens at the row level.

Filter context– the calculation depends on filters (city, date, product).

More on this:a row and filter context explanation.

Iterator (“X”) functions

“X” functions iterate over the table and calculate each row.

SUMX(Sales, Sales[Quantity] * Sales[Price])

More:DAX X functions.

Time Intelligence

DAX lets you analyze time: YTD, MTD, comparisons.

CALCULATE([Sales], DATESYTD(Calendar[Date]))

More:a Time Intelligence explanation.

DAX best practices

  • Use measures instead of calculated columns
  • Keep measures in a separate table
  • Use clear names
  • Avoid unnecessary calculations

One of the most important functions worth learning:the CALCULATE function.

What to read next

Conclusion

DAX is the essence of Power BI. Once you understand the basics – context, measures and time – you can build truly useful analyses.

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