Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801811484
Length 712 pages
Edition 2nd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
Arrow right icon
View More author details
Toc

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

Ranking metrics

Many reports and analyses are built around the ranking of dimensions relative to measures, such as the top 10 salespeople based on YTD sales. Ranking measures can also help deliver cleaner and more intuitive report visualizations as they substitute small integer values for large numbers and decimal places. Ranking measures can be as simple as specifying a column and a measure, or more complex with unique ranking logic applied in distinct filter contexts.

Ranking measures in DAX are implemented via the RANKX() function, which is an iterator like SUMX() and FILTER(). As an iterating function, two required input parameters include a table and the expression to be evaluated for each row of the table. The following two measures rank products based on the Internet Net Sales measure:

Internet Net Sales Product Rank = RANKX(ALL('Product'[ProductAlternateKey]),[Internet Net Sales],,DESC,Skip)

Internet Net Sales Product Rank (All Products) = 
    VAR __ProdRankTable...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image