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DAX Cookbook

You're reading from   DAX Cookbook Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781839217074
Length 552 pages
Edition 1st Edition
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Author (1):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
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Table of Contents (15) Chapters Close

Preface 1. Thinking in DAX 2. Dealing with Dates and Calendars FREE CHAPTER 3. Tangling with Time and Duration 4. Transforming Text and Numbers 5. Figuring Financial Rates and Revenues 6. Computing Customer KPIs 7. Evaluating Employment Measures 8. Processing Project Performance 9. Calculating Common Industry Metrics 10. Using Uncommon DAX Patterns 11. Solving Statistical and Mathematical Formulas 12. Applying Advanced DAX Patterns 13. Debugging and Optimizing DAX 14. Other Books You May Enjoy

Creating an inverse aggregator

We are all familiar with normal aggregations, such as sum, average, maximum, minimum, and count. Usually, this is exactly what we want when analyzing data: displaying aggregated data based upon filtering that we specify. However, sometimes the desired behavior lies in seeing the aggregation of values for the items that we do not filter. In other words, we wish to instead specify the items that we do not want included in an aggregation as opposed to the items we do want included in an aggregation.

This recipe demonstrates how to implement a measure that performs an inverse sum; in other words, it sums the items that we have not selected. While this recipe performs a sum aggregation, this same technique can be used for any type of aggregation.

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