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Mastering Microsoft Power BI – Second Edition

You're reading from   Mastering Microsoft Power BI – Second Edition Expert techniques to create interactive insights for effective data analytics and business intelligence

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801811484
Length 712 pages
Edition 2nd Edition
Languages
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Authors (2):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
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Table of Contents (18) Chapters Close

Preface 1. Planning Power BI Projects 2. Preparing Data Sources FREE CHAPTER 3. Connecting to Sources and Transforming Data with M 4. Designing Import, DirectQuery, and Composite Data Models 5. Developing DAX Measures and Security Roles 6. Planning Power BI Reports 7. Creating and Formatting Visualizations 8. Applying Advanced Analytics 9. Designing Dashboards 10. Managing Workspaces and Content 11. Managing the On-Premises Data Gateway 12. Deploying Paginated Reports 13. Creating Power BI Apps and Content Distribution 14. Administering Power BI for an Organization 15. Building Enterprise BI with Power BI Premium 16. Other Books You May Enjoy
17. Index

Date intelligence metrics

Date intelligence metrics are typically the first set of measures to be added to a dataset following base measures. These measures reference the base measures and add a custom filtering condition to the Date dimension table, thus providing visibility to multiple distinct time intervals, such as year-to-date and the previous year-to-date.

Given their built-in date filtering logic, Power BI reports and dashboards can be developed faster and without manual maintenance costs of updating date filter conditions.

The following four measures apply custom filter contexts to either return the current year, month, and week by default, or the latest of these time intervals given the date filters applied in a report:

Internet Net Sales (CY) = CALCULATE([Internet Net Sales],FILTER(ALL('Date'), 'Date'[Calendar Year] = MAX('Date'[Calendar Year]) && 'Date'[Date] >= MIN('Date'[Date]) && &apos...
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