Previous chapters have focused on how to perform common and uncommon DAX calculations for a wide variety of purposes. However, these DAX recipes did not magically spring into existence fully formed. Significant time and effort went into the creation of these DAX recipes. And you must not discount the loss of more than a few previously well-connected hairs from the top of my head. Any reasonably complex DAX calculations inevitably require a certain amount of troubleshooting and debugging in order to make the calculation work correctly and account for any and all boundary cases that might occur. This chapter provides numerous tools and techniques that I used in the creation of the DAX recipes within this book, including recipes for troubleshooting, debugging, optimizing, and handling various errors. You can use these same tools and techniques when troubleshooting...
DAX Cookbook
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DAX Cookbook
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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.
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DAX Cookbook
Table of Contents (15 chapters)
Preface
Thinking in DAX
Free Chapter
Dealing with Dates and Calendars
Tangling with Time and Duration
Transforming Text and Numbers
Figuring Financial Rates and Revenues
Computing Customer KPIs
Evaluating Employment Measures
Processing Project Performance
Calculating Common Industry Metrics
Using Uncommon DAX Patterns
Solving Statistical and Mathematical Formulas
Applying Advanced DAX Patterns
Debugging and Optimizing DAX
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