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)

Utilizing the Jarque-Bera test

The Jarque-Bera test is named after Carlos Jarque and Anil K. Bera. It measures whether a set of data points is normally distributed or not. The formula for the Jarque-Bera test is as follows:

In this formula, n is the number of data points, S is the sample skewness, and K is the sample kurtosis. For an explanation of skewness and kurtosis, see the previous Analyzing kurtosis recipe in this chapter. The Jarque-Bera test is an important test in statistics because many statistical methods rely on having a normal distribution. Thus, if your data is not normally distributed, the application of certain statistical methods would be invalid.

This recipe demonstrates how to utilize the Jarque-Bera test on a set of data.

Getting ready

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