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Mastering Tableau 2023 : implement advanced business intelligence techniques, analytics, and machine learning models with Tableau
Author
Title
Mastering Tableau 2023 : implement advanced business intelligence techniques, analytics, and machine learning models with Tableau / Marleen Meier ; forewords by Christina Stathopoulos, David Sigerson.
ISBN
9781803233765
9781803245751
1803245751
Edition
Fourth edition.
Publication
Birmingham, UK : Packt Publishing Ltd., 2023.
Physical Description
1 online resource (684 pages) : illustrations.
Local Notes
Access is available to the Yale community.
Notes
Includes index.
Access and use
Access restricted by licensing agreement.
Summary
This edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added. Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Meier, Marleen Mastering Tableau 2023 Birmingham : Packt Publishing, Limited,c2023
Format
Books / Online
Language
English
Added to Catalog
October 03, 2023
Series
Expert insight
Contents
Cover
Copyright
Contributors
Table of Contents
Preface
Chapter 1: Reviewing the Basics
Creating worksheets and dashboards
Creating worksheets
Creating a visualization
Beyond the default behavior
Show Me
Creating dashboards
Building a dashboard
Adding interactivity to a dashboard
Connecting Tableau to your data
Connecting to a file
Connecting to Tableau Server
Connecting to saved data sources
Measure Names and Measure Values
Measure Names and Measure Values shortcuts
Three essential Tableau concepts
Dimensions and measures
Row-level, aggregate-level, and table-level calculations
Continuous and discrete
Exporting data to other devices
Exporting data to a mobile phone
Tableau Mobile
Summary
Chapter 2: Getting Your Data Ready
Understanding Hyper
The Tableau data-handling engine
Hyper takeaways
Focusing on data preparation
Surveying data
Establishing null values
Extrapolating data
Cleaning messy data
Cleaning the data
Extracting data
Summary
Chapter 3: Using Tableau Prep Builder
Connecting to data
The Prep GUI
Getting to know Prep
Data quality
Cleaning data
Unions and joins
Adding unions
Wildcard unions
Adding joins
Aggregating
Pivoting
Scripting
Additional options with Prep
Insert Flow
Incremental refresh
Bulk rename
Tableau Prep Conductor
Exporting data
Summary
Chapter 4: Learning about Joins, Blends, and Data Structures
Relationships
Joins
Join queries
Join calculations
Spatial joins
Unions
Blends
Exploring the order of operations
Adding secondary dimensions
Introducing scaffolding
Understanding data structures
Summary
Chapter 5: Introducing Table Calculations
Partition and direction of addressing
Directional and non-directional addressing
Exploring each unique table calculation function
Lookup and Total
Previous Value
Running
Window
First and Last
Index
Rank
Size
Application of functions
Building a playground
Partitioning and addressing with one dimension
Partitioning and addressing with two dimensions
Partitioning and addressing with three dimensions
Guidelines: a reminder
Summary
Chapter 6: Utilizing OData, Data Densification, Big Data, and Google BigQuery
Using the OData connector
Introducing data densification
Domain completion
Deploying domain completion
The usefulness of domain completion
Removing unwanted domain completion
Domain padding
Deploying domain padding
The usefulness of domain padding
Problems of domain padding
Data densification in predictive modeling
Tableau and big data
Building a visualization with Google BigQuery
Summary
Chapter 7: Practicing Level of Detail Calculations
Introducing LODs
Genre/Form
Electronic books.
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