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Data Analysis Expressions (DAX) is a library of functions and operators that can be combined to build calculation formula expressions.

Mar 17, 2025 · The DAX function reference provides detailed information including syntax, parameters, return values, and examples for each of the over 250 functions used in Data Analysis Expression (DAX) formulas.

This learning path introduces Data Analysis Expressions (DAX) and provides you with foundational skills required to enhance semantic models with calculations. It starts by describing Power BI Desktop model structure and how it can be enhanced with DAX calculations.

DAX is the query language that powers Microsoft products such as Power BI, Analysis Services, and Power Pivot for Excel. Browse the full language reference on DAX Guide.

Feb 12, 2025 · The key to mastering DAX is continuous learning, experimenting with different scenarios, and iterating on your calculations to tackle increasingly complex business problems. Navigate through the below buttons to learn more about DAX. There are 400+ examples on …

May 29, 2022 · DAX formulas contain functions, operators, statements, and more. This cheat sheet is designed to be your handy companion when working with DAX in Power BI. Explore DAX in more detail by starting our course now.

The curated content of DAX Guide makes it a go-to reference on the DAX language. DAX Guide is updated automatically, through the monitoring of new versions of Microsoft products. For every DAX function, DAX Guide offers a compatibility matrix for versions/products supported.

Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.

Aug 24, 2023 · Data Analysis Expressions (DAX) is a powerful language that empowers Power BI users to perform advanced calculations, create custom metrics, and gain deeper insights from their data. By leveraging DAX, analysts and business users can unlock the full potential of Power BI and make data-driven decisions.