更新时间：2021-07-16 17:35:11
封面
Title Page
Copyright and Credits
Getting Started with Tableau 2018.x
Packt Upsell
Why subscribe?
Packt.com
Contributors
About the author
About the reviewers
Packt is searching for authors like you
Preface
Disclaimer
Who this book is for
What this book covers
To get the most out of this book
Download the example files
Download the color images
Conventions used
Get in touch
Reviews
Catching Up with Tableau 2018
Tableau Desktop
Data Source improvements
Normalized extract (2018.3)
Spatial join (2018.2)
Other Data Source improvements
Visualization improvements
Density Mark (2018.3)
Step and jump lines (2018.1)
Worksheet transparency (2018.3)
Dual Axis mapping (2018.1)
Nested sort (2018.2)
Hierarchy filtering (2018.1)
Other improvements
Dashboard improvements
Extensions (2018.2)
Dashboard navigation button (2018.3)
Navigation action (2018.3)
The Change Set Values action (2018.3)
Automatic Mobile layouts (2018.2)
Grids (2018.2)
Tableau Server/Online
Interacting
Mixed content (2018.3)
Mobile preview (2018.3)
Comments (2018.2)
Web authoring
Connecting to data (2018.1)
Other web authoring improvements
Administration
Tableau Service Manager (2018.2)
Other administrative improvements
Summary
The Tableau Core
The different Tableau products
Speaking Tableau
Dimension and Measure
Blue and green – Discrete and Continuous
The toolbar options
Live or Extract
Live
Extract
A First Dashboard and Exploration
Connect to data
Create a first set of visualizations
Sales and profit by sub-categories – bar chart
Profit evolution – line chart
Profit by state – filled map
Building your first Dashboard
Assembling the Dashboard
Adding interactivity to your Dashboard
Using Tableau for data exploration
Connect to Data and Simple Transformations
Data connection
Connecting to a file
Excel files
Text files
Connecting to a server
Common servers (MS SQL Server Oracle Redshift MySQL)
Other servers
Spatial files
Join data easily
The Join principle
Join requirements and types
Join risks
Hands-on – a first simple Join
Union your data
A Union example
Simple transformations
Data Interpreter
Splitting a column
Pivot
Build an Efficient Data Source
Understanding the Data Source
Data Sources elements
