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Extreme DAX

You're reading from   Extreme DAX Take your Power BI and Microsoft data analytics skills to the next level

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801078511
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Henk Vlootman Henk Vlootman
Author Profile Icon Henk Vlootman
Henk Vlootman
Michiel Rozema Michiel Rozema
Author Profile Icon Michiel Rozema
Michiel Rozema
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Toc

Table of Contents (17) Chapters Close

Preface Part I: Introduction FREE CHAPTER
1.1 DAX in Business Intelligence 1.2 Model Design 1.3 Using DAX 1.4 Context and Filtering Part II: Business cases
2.1 Security with DAX 2.2 Dynamically Changing Visualizations 2.3 Alternative Calendars 2.4 Working with AutoExist 2.5 Intercompany Business 2.6 Exploring the Future: Forecasting and Future Values 2.7 Inventory Analysis 2.8 Personnel Planning Other Books You May Enjoy
Index

The Power BI model

Most of this chapter is based on a small sample model:

Figure 2.4.1: Diagram of the Power BI model

We have a fact table, fSales, with sales transactions for customers in the Customer table. A Customer has a responsible, who is an employee; the model therefore relates the Responsible column in Customer to the EmpNr column in Employee. So, with this model, we can report sales by customer, but also by employee, or any of either's attributes.

This model file, 2.4 AutoExist.pbix, can be found at https://github.com/PacktPublishing/Extreme-DAX/tree/main/Chapter2.4.

We will mainly work with the results of a single DAX measure for sales:

Sales = SUM(fSales[SalesPrice])

In addition, we use a measure that only returns sales for some product categories:

Sales (core products) =
CALCULATE(
    [Sales],
    KEEPFILTERS(
        Product[Category] 
        IN {"Bikes", "Clothing", "Accessories"}
  ...
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