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
Tableau Certified Data Analyst Certification Guide

You're reading from   Tableau Certified Data Analyst Certification Guide Ace the Tableau Data Analyst certification exam with expert guidance and practice material

Arrow left icon
Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803243467
Length 462 pages
Edition 1st Edition
Tools
Arrow right icon
Authors (2):
Arrow left icon
Daisy Jones Daisy Jones
Author Profile Icon Daisy Jones
Daisy Jones
Harry Cooney Harry Cooney
Author Profile Icon Harry Cooney
Harry Cooney
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Chapter 1: Connecting to Data FREE CHAPTER 2. Chapter 2: Transforming Data 3. Chapter 3: Calculations 4. Chapter 4: Grouping and Filtering 5. Chapter 5: Charts 6. Chapter 6: Dashboards 7. Chapter 7: Formatting 8. Chapter 8: Publishing and Managing Content 9. Chapter 9: Accessing the Online Practice Resources 10. Other Books You May Enjoy

Combining Data

This section covers the methodologies for combining data sources together in Tableau. How to join data sources on common fields in Tableau Desktop is covered first, followed by how to union data sources in Tableau Desktop. Relationships in Tableau Desktop and Tableau Blending will also be discussed. Finally, how to join and union data sources in Tableau Prep is looked into.

Tableau Desktop Joins

A common method for combining two data sources is to join them side by side on a common field or on multiple common fields. Tableau Desktop allows datasets from any valid data source type to be combined together (Tableau Data sources cannot be used in joins). There are multiple ways to configure a join in Tableau Desktop such as deciding which fields to match with between the two data sources and then which data to keep as a result of the join.

Choosing which fields to match on can be as simple as selecting a common field with the same name in two data sources. However...

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