Introduction to DAX Functions


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.
Aggregation functions - These functions calculate a (scalar) value such as count, sum, average, minimum, or maximum for all rows in a column or table as defined by the expression.
Date and Time function - These functions in DAX are similar to date and time functions in Microsoft Excel. However, DAX functions are based on the datetime data types used by Microsoft SQL Server.
Filter functions - These functions help you return specific data types, look up values in related tables, and filter by related values. Lookup functions work by using tables and relationships between them. Filtering functions let you manipulate data context to create dynamic calculations.
Logical functions- These functions return information about values in an expression. For example, the TRUE function lets you know whether an expression that you are evaluating returns a TRUE value.

Conclusion :
In this blogs I have explored different types of DAX functions including Logical, filter, aggregator, date and time etc.

Comments

Post a Comment

Popular posts from this blog

Use DAX iterator functions in Power BI Desktop models

Data Analysis Expressions (DAX) include a set of functions known as  iterator functions . Iterator functions enumerate all rows of a given table and evaluate a given expression for each row. They provide you with flexibility and control over how your model calculations will summarize data. Some DAX Functions are Complex summarization 1. SUMX e.g. : 1.  Revenue = SUMX (Sales, Sales[Sales Amount]) 2. Revenue = SUMX (Sales, Sales[Order Quantity] * Sales[Unit Price] * ( 1 - Sales[Unit Price Discount Pct.])) 3. Discount = SUMX ( Sales, Sales[Order Quantity] *( RELATED ('Product'[List Price]) - Sales[Unit Price] ) ) 2. AVERAGEX e.g :1. Revenue Avg = AVERAGEX ( Sales, Sales[Order Quantity] * Sales[Unit Price] * ( 1 - Sales[Unit Price Discount Pct.]) ) 2. Revenue Avg Order = AVERAGEX ( VALUES ('Sales Order'[Sales Order]), [Revenue] ) 3. RANKX The  RANKX  DAX function is a special iterator function you can use to calculate ranks. Its syntax is as follows: RANKX (<...
Read more

Different charts in Power BI

Image
  An overview of Chart Types in Power BI As everyone might be aware, Power BI is one of the SaaS offerings from Microsoft in the field of BI and Analytics. It provides a very intuitive way for non-technical users to do analyses and create reports on their own without having to rely on a technical team. One of the main purposes of Microsoft behind Power BI is to promote self-service BI and it is one of the BI tools in the market with a comparatively lower learning curve as there are many similarities compared to Microsoft Excel.  In this blog, I am going to give an overview of the most widely used chart types in Power BI.   Let's look at some of the most frequently used chart types in Power BI Bar and column charts Stacked Bar and Stacked Column Chart Clustered Bar and Clustered Column Chart Line Chart Area Chart Stacked Area Chart Line and Stacked Column Chart/ Combo Chart Line and Clustered Column Chart/ Combo Chart Ribbon Chart Waterfall Chart Funnel Chart Scatter Chart...
Read more

Modify DAX filter context in Power BI Desktop models

Summary CALCULATE  DAX function to modify filter context in the formulas. The syntax for the CALCULATE function is as follows: CALCULATE (<expression>, [[<filter1>], <filter2>]…) I learned about filter context. And also learned why and how to work with the CALCULATE function to modify filter context by passing in filters. These filters can add or overwrite the filter context, and they can modify filter context when we are passing in special functions like REMOVEFILTERS or KEEPFILTERS. Additionally, I learned that the CALCULATE function can transition row context to filter context, which can be required when we are using measure expressions in calculated columns or iterator functions.
Read more