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)

Solving Statistical and Mathematical Formulas

Properly analyzing data can often turn into a statistical and mathematical exercise. There is a wid On a Report page, create a Card visualization and place the alpha measure into
e array of statistical and mathematical tools available to businesses today that can assist organizations in analyzing operational efficiencies, hiring practices, customer profiles, and more. In addition, while DAX has a fair number of statistics and math functions, many of the more complex mathematical and statistical formulas and methods are missing. Furthermore, many of these more complex mathematical and statistical methods require the use of interesting and uncommon DAX functions and techniques. This chapter, then, focuses on adding a number of useful statistical and mathematical formulas and techniques to the repertoire of DAX.

The following is the list...