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)

Counting a list of items

While, often, Power Query will be used to break a list of items up into individual columns or even individual rows, there are times when the raw information is required within the data model. In such cases, it is sometimes more important to understand how many items are in the list rather than the actual list items themselves. This recipe provides a convenient method of quickly determining the number of items in a list of items.

Getting ready

To prepare for this recipe, perform the following steps:

  1. Open Power BI Desktop.
  2. Use an Enter Data query to create a table called R03_Table with the following data:

List

One

One, Two

One, Two, Three

One, One, One, Two, Two, Three

...