Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Microsoft Power BI Quick Start Guide

You're reading from   Microsoft Power BI Quick Start Guide Bring your data to life through data modeling, visualization, digital storytelling, and more

Arrow left icon
Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781800561571
Length 296 pages
Edition 2nd Edition
Languages
Arrow right icon
Authors (4):
Arrow left icon
Bradley Schacht Bradley Schacht
Author Profile Icon Bradley Schacht
Bradley Schacht
Devin Knight Devin Knight
Author Profile Icon Devin Knight
Devin Knight
Erin Ostrowsky Erin Ostrowsky
Author Profile Icon Erin Ostrowsky
Erin Ostrowsky
Mitchell Pearson Mitchell Pearson
Author Profile Icon Mitchell Pearson
Mitchell Pearson
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Importing Data Options 2. Data Transformation Strategies FREE CHAPTER 3. Building the Data Model 4. Leveraging DAX 5. Visualizing Data 6. Digital Storytelling with Power BI 7. Using a Cloud Deployment with the Power BI Service 8. Data Cleansing in the Cloud with Dataflows 9. On-Premises Solutions with Power BI Report Server 10. Other Books You May Enjoy
11. Index

Calculated measures – the basics

Calculated measures are very different than calculated columns. Calculated measures are not static, and operate within the current filter context of a report; therefore, calculated measures are dynamic and ever-changing as the filter context changes. You were introduced to filter context in the previous chapter. The concept of the filter context will be slightly expanded on later in this chapter. Calculated measures are powerful analytical tools, and because of the automatic way that measures work with filter contexts, they are surprisingly simple to author.

Before you start learning about creating measures, let's first discuss the difference between implicit and explicit measures.

Implicit aggregations occur automatically on columns with numeric data types. You saw this in the previous chapter when the month number column was incorrectly aggregated after being added to a report. There are some advantages to this default behavior...

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 €18.99/month. Cancel anytime