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Hi @JonKon ,
A DAX formula stands for Data Analysis Expressions. It's a powerful expression language used in Analysis Services, Power BI, and Power Pivot in Excel. DAX formulas allow you to perform advanced calculations and queries on data within related tables and columns in tabular data models. Here are some key points about DAX:
1. Functions: DAX includes over 250 functions that you can use in your formulas. These functions cover a wide range of tasks, from basic arithmetic to complex statistical calculations.
2. Syntax: DAX formulas consist of functions, operators, and values. You can create custom calculations by combining these elements to manipulate data in your models.
3. Categories of Functions:
- Aggregation functions: These calculate scalar values (e.g., count, sum, average) for all rows in a column or table based on an expression.
- Date and time functions: Similar to Excel's date and time functions but based on SQL Server datetime data types.
- Filter functions: Used to return specific data types, look up values in related tables, and filter by related values.
- Math and Trig functions: Similar to Excel's mathematical and trigonometric functions but with differences in numeric data types.
- Text functions: For manipulating strings, searching text, or concatenating string values.
- Time intelligence functions: Help create calculations based on calendars and dates.
- And more, including financial, logical, statistical, and table manipulation functions.
For comprehensive details on each DAX function, you can refer to the DAX function reference or explore the DAX Guide, which provides curated content and compatibility information.
Best regards,
Community Support Team_Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @JonKon ,
A DAX formula stands for Data Analysis Expressions. It's a powerful expression language used in Analysis Services, Power BI, and Power Pivot in Excel. DAX formulas allow you to perform advanced calculations and queries on data within related tables and columns in tabular data models. Here are some key points about DAX:
1. Functions: DAX includes over 250 functions that you can use in your formulas. These functions cover a wide range of tasks, from basic arithmetic to complex statistical calculations.
2. Syntax: DAX formulas consist of functions, operators, and values. You can create custom calculations by combining these elements to manipulate data in your models.
3. Categories of Functions:
- Aggregation functions: These calculate scalar values (e.g., count, sum, average) for all rows in a column or table based on an expression.
- Date and time functions: Similar to Excel's date and time functions but based on SQL Server datetime data types.
- Filter functions: Used to return specific data types, look up values in related tables, and filter by related values.
- Math and Trig functions: Similar to Excel's mathematical and trigonometric functions but with differences in numeric data types.
- Text functions: For manipulating strings, searching text, or concatenating string values.
- Time intelligence functions: Help create calculations based on calendars and dates.
- And more, including financial, logical, statistical, and table manipulation functions.
For comprehensive details on each DAX function, you can refer to the DAX function reference or explore the DAX Guide, which provides curated content and compatibility information.
Best regards,
Community Support Team_Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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