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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
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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

Financial DAX functions

DAX has borrowed many financial functions straight from Excel. Of these, two are applicable to this chapter's case study in particular: XNPV and XIRR. The X in the name of these functions suggests that they are table aggregations, and indeed, the first argument of each is a table.

XNPV can be used to calculate the NPV of a table of cash flows:

XNPV(CashFlowTable, <value>, <date>, Rate)

Note that the cash flows do not need to be in the table: you provide the values of the cash flows as an expression that is evaluated in row context on the CashFlowTable. Similarly, an expression returning a date is evaluated for each row. This means that discounting is done on a daily basis, and the (annual) n value from the formulas in the previous section is calculated (for the mth row in the table) as:

The XIRR value tries to approximate the IRR for a table of cash flows:

XIRR(CashFlowTable, <value>, <date>)

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