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)

Using Uncommon DAX Patterns

Previous chapters have largely focused on the calculation of specific metrics and KPIs that are common to most businesses. This chapter instead focuses on DAX patterns and techniques that can be applied in a variety of different circumstances. While these patterns and techniques are perhaps more uncommon, the recipes provided in this chapter can be critical and instrumental in achieving the desired calculations within DAX.

We will cover the following recipes in this chapter:

  • Aggregating multiple columns
  • Finding not-in-common/in-common things
  • Crafting linear interpolation
  • Creating an inverse aggregator
  • Finding childless nodes
  • Calculating transitive closure
  • Computing advanced measure totals
  • Using measures where you are not allowed to
  • Evaluating permutations and combinations
  • Creating a dynamic temporal scale
  • Emulating loops
  • Simulating recursion