Book Image

DAX Cookbook

By : Gregory Deckler
Book Image

DAX Cookbook

By: Gregory Deckler

Overview of this book

DAX provides an extra edge by extracting key information from the data that is already present in your model. Filled with examples of practical, real-world calculations geared toward business metrics and key performance indicators, this cookbook features solutions that you can apply for your own business analysis needs. You'll learn to write various DAX expressions and functions to understand how DAX queries work. The book also covers sections on dates, time, and duration to help you deal with working days, time zones, and shifts. You'll then discover how to manipulate text and numbers to create dynamic titles and ranks, and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. The book will also show you how to implement common industry metrics such as days of supply, mean time between failure, order cycle time and overall equipment effectiveness. In the concluding chapters, you'll learn to apply statistical formulas for covariance, kurtosis, and skewness. Finally, you'll explore advanced DAX patterns for interpolation, inverse aggregators, inverse slicers, and even forecasting with a deseasonalized correlation coefficient. By the end of this book, you'll have the skills you need to use DAX's functionality and flexibility in business intelligence and data analytics.
Table of Contents (15 chapters)

Using measures where you are not allowed to

DAX measures are incredibly powerful, allowing a single DAX calculation to be used in seemingly endless circumstances. Given the right dataset, a single DAX calculation for something such as year-over-year revenue could be used in the context of customers, products, product groups, locations, business divisions, and so on. Perhaps even more amazingly, you could even evaluate that same single measure within all of those contexts simultaneously! However, measures are not without their limitations. Specifically, measures cannot be used in Power BI for things such as slicers and chart axes and legends.

This recipe demonstrates how to do the impossible: to essentially use measures where you are really not allowed to use measures. This is, of course, a trick, and it is specifically known as the Disconnected Table Trick.

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