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 Runge-Kutta

Runge-Kutta is a set of numerical methods for approximating the solutions of differential equations. A differential equation is an equation that consists of the derivative of a variable (think the rate of change) defined in terms of another, independent variable (think physical property). For example, consider a virus. As a virus spreads, its rate of infection becomes faster and faster. The same is true for population growth in most species. Most often used in such fields as biology, engineering, physics, and economics, differential equations are extremely handy for expressing complex systems. Unfortunately, only the most trivial of differential equations can be explicitly solved. For the rest, we use numerical methods such as Runge-Kutta, which was developed by mathematicians Carl Runge and Wilhelm Kutta.

While Runge-Kutta is technically a set of numerical methods...