#### 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.
Preface
Thinking in DAX
Tangling with Time and Duration
Transforming Text and Numbers
Evaluating Employment Measures
Processing Project Performance
Calculating Common Industry Metrics
Solving Statistical and Mathematical Formulas
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# Transforming Text and Numbers

All or nearly all data models include data in the form of text and numbers. However, it is also often necessary to transform this text and number data into something useful for reporting purposes or even clean up this data for various reasons. This chapter is all about working with text and numeric data, providing useful recipes whose techniques can be applied in a variety of situations.

The following is the list of recipes that we will cover in this chapter:

• Crafting a dynamic slicer title
• Creating a greeting
• Counting a list of items
• Ranking columns and measures
• Totaling measures
• Converting from Cartesian to polar and back
• Computing percentages
• Calculating mode for single and multiple columns
• Extracting text
• Detecting prime numbers