Mastering Tableau 2023 : implement advanced business intelligence techniques, analytics, and machine learning models with Tableau /

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 wi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Meier, Marleen (Autor)
Otros Autores: Stathopoulos, Christina (writer of foreword.), Sigerson, David (writer of foreword.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd., 2023.
Edición:Fourth edition.
Colección:Expert insight.
Temas:
Tableau (Computer file)
Information visualization > Computer programs.
Electronic books.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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

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