~ 2 min read

How DAX works in PowerBI

By: Kate Sherrard
Share:
Introduction to how DAX works in PowerBI.  What DAX stands for.  DAX Measures, Calculated Columns & Calculated Tables

Intro to DAX

DAX, which stands for Data Analysis Expressions, is an incredibly powerful tool in Power BI. It is a formula language that allows you to create custom calculations and measures for your data, helping you to create the KPIs you need and customise reports to your heart’s content to drive the insights you need.

One of the best things about DAX is its flexibility - you can use it to create calculated columns, calculated tables, and measures. All of these can be used to enhance your Power BI reports.

With DAX, you can perform a wide range of calculations, from simple arithmetic to more complex functions such as statistics. You can also use DAX to filter and summarize your data, and to create dynamic calculations that automatically update as your data changes.

DAX is an essential tool for anyone using Power BI, and it’s a great way to bring your data to life!

Calculated Columns

DAX calculated columns are a great way to add even more power and flexibility to your data analysis in Power BI. Calculated columns are created using DAX formulas, and are essentially virtual columns that you can use in your Power BI reports and dashboards.

Measures

Measures in DAX are dynamic calculations that are used to analyze data in your Power BI reports and dashboards. They are defined using DAX formulas, and can be used to perform a wide range of calculations , including summing, averaging, counting, and much more.

Calculated Tables

DAX calculated tables are a fantastic tool for Power BI users looking to add even more power and flexibility to their data analysis. Calculated tables are created using DAX formulas, and are essentially virtual tables that you can use in your Power BI reports and dashboards.

One of the great things about measures, columns and tables calculated with DAX is that they are dynamic, which means that they will automatically update as your data changes. This makes them a powerful for analyzing your data in real-time, and allows you to quickly and easily see how your data is evolving over time!

Share:
Subscribe to our newsletter

Stay up to date with our latest content - No spam!