DAX for Power BI Data Analytics
Learn the foundations of DAX by connecting business questions, analytical calculations, measures, Power BI visuals, and simple debugging.
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DAX stands for Data Analysis Expressions. It is the calculation language used in Power BI to create analytical calculations such as measures and calculated columns.
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A Power BI analyst has a business question and needs an analytical calculation. What is DAX mainly used for?
DAX, which stands for Data Analysis Expressions, is used in Power BI to create analytical calculations. Data analysts use DAX measures and calculated columns to transform business requirements into useful metrics for reports and dashboards.
DAX is a calculation language used by Power BI for analytical expressions. It is commonly used to create measures, calculated columns, business metrics, aggregations, ratios, and other analytical calculations.
One of the first concepts an analyst needs to understand is the difference between a measure and a calculated column. A calculated column is evaluated row by row, while a measure is evaluated when a report or visual needs the calculation.
A basic DAX measure can use an aggregation such as SUM to calculate total sales. For example, a sales table containing an Amount column can be analysed using a Total Sales measure.
DAX is an important skill for Power BI data analytics because it allows analysts to create reusable calculations and answer business questions directly inside reports and dashboards.