Book Image

DAX Cookbook

By : Greg Deckler
Book Image

DAX Cookbook

By: Greg 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)

Creating a dynamic temporal scale

Recently, I came across a visualization that aggregated data based upon a varying time scale. For those dates that were in the current quarter, weekly summaries were displayed, while for those dates that were not in the current quarter, quarterly summaries were displayed. Replicating this visualization within Power BI originally took the form of two visuals squished together with transparent backgrounds. The result was less than ideal and took a significant amount of formatting and alignment.

This recipe presents a method of creating a dynamic temporal scale that can be used within Power BI visualizations, such that a single visual can display different time scales simultaneously.

Getting ready

...