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Hands-On Business Intelligence with DAX

You're reading from   Hands-On Business Intelligence with DAX Discover the intricacies of this powerful query language to gain valuable insights from your data

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838824303
Length 402 pages
Edition 1st Edition
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Author (1):
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Ian Horne Ian Horne
Author Profile Icon Ian Horne
Ian Horne
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Introduction to DAX for the BI Pro
2. What is DAX? FREE CHAPTER 3. Using DAX Variables and Formatting 4. Building Data Models 5. Working with DAX in Power BI, Excel, and SSAS 6. Getting It into Context 7. Section 2: Understanding DAX Functions and Syntax
8. Progressive DAX Syntax and Functions 9. Table Functions 10. Date, Time, and Time Intelligence Functions 11. Filter Functions 12. Statistical Functions 13. Working with DAX Patterns 14. Section 3: Taking DAX to the Next Level
15. Optimizing Your Data Model 16. Optimizing Your DAX Queries 17. Other Books You May Enjoy

Introduction to aggregation functions

As we have already seen earlier in this chapter, the DAX language consists of a large number of functions that can be grouped based on the type of functionality they provide. In this section, we are going to take our first detailed look at these groups, starting with a look at the aggregation group of functions.

Aggregation functions provide a way to summarize or group data and common examples include the AVERAGE, COUNT, MAX, MIN, and SUM functions. All of these have their equivalent X function, such as SUMX. Instead of working against a column of a table, these X functions apply the aggregation to the result of an expression that is evaluated for each row of a table.

Aggregation function reference

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