#### 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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# Dealing with Dates and Calendars

It is a rare business scenario and data model that does not have something related to dates at its core. So much of the business world deals with dates. People work on certain dates and not others. Deadlines are due on specific days. Bonuses and key performance indicators are dependent upon what week, month, or quarter sales occur. This chapter is all about working with dates, weeks, months, quarters, and years.

This chapter comprises the following recipes:

• Using time intelligence
• Creating quarters
• Calculating leap years
• Determining day and working day numbers in a year
• Determining date of the day number of a year
• Finding week start and end dates
• Finding working days for weeks, months, quarters, and years
• Constructing a sequential week number
• Computing rolling weeks
• Replacing Excel's NETWORKDAYS function
• Working with date intervals
• Exploiting...