Data Analysis Expressions DAX in Microsoft POWER BI
Data Analysis Expressions DAX in Microsoft POWER BI | Practical Examples
What you’ll learn
Data Analysis Expressions DAX in Microsoft POWER BI
- Data Analysis Expressions DAX
- Business Analysts | Data Analysis Expressions DAX
- Practical Examples of DAX
- Microsoft POWER BI | DAX Language Tips
Requirements
- No
Description
Data Analysis Expressions DAX in Microsoft POWER BI | Practical Examples Data Analysis Expressions (DAX) Reference Data Analysis Expressions (DAX) is a library of functions and operators that can be combined to build formulas and expressions in Power BI, Analysis
Services, and Power Pivot in Excel data models.
Data Analysis Expressions (DAX) is a programming language that is used throughout Microsoft Power BI for creating calculated columns, measures, and custom tables. It is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values. You can use DAX to solve a number of calculations and data analysis problems, which can help you create new information from data that is already in your model.
Why is DAX so important? It’s easy to create a new Power BI Desktop file and import some data into it. You can even create reports that show valuable insights without using any DAX formulas at all.
Measures
Measures are dynamic calculation formulas where the results change depending on context. The Measures are used in reporting that support combining and filtering model data by using multiple attributes such as a Power BI report or Excel PivotTable or PivotChart. Measures are created by using the DAX formula bar in the model designer.
A formula in a measure can use standard aggregation functions automatically created by using the Autosum feature, such as COUNT or SUM, or you can define your own formula by using the DAX formula bar. Named measures can be passed as an argument for other measures.
Who this course is for
- Data Analysts, Business Analysts
Add Comment