What this book covers
Chapter 1, Reviewing the Basics, takes you through the basic and essential Tableau concepts needed to get you started.
Chapter 2, Getting Your Data Ready, is a theory-oriented chapter that will help you understand data preparation and henceforth work more easily with messy data.
Chapter 3, Using Tableau Prep Builder, discusses Tableau Prep Builder, the not-so-little Extract – Transform- Load (ETL) brother of Tableau Desktop.
Chapter 4, Learning about Joins, Blends, and Data Structures, answers the question of whether to use relationships, joins, or blends to combine data.
Chapter 5, Introducing Table Calculations, covers the special case of table calculations, which use the data order to assign values like ranks.
Chapter 6, Utilizing OData, Data Densification, Big Data, and Google BigQuery, teaches you how to leverage big data solutions and the concept of data densification.
Chapter 7, Practicing Level of Detail Calculations, helps you understand this advanced topic, which can change the aggregation of your data for certain calculations.
Chapter 8, Going Beyond the Basics, introduces you to advanced visualization concepts and Tableau Exchange, Extensions, Accelerators, and Connectors.
Chapter 9, Working with Maps, covers Tableau’s internal, and some external, mapping capabilities using custom polygons, heatmaps, and layered maps.
Chapter 10, Presenting with Tableau, shows tips and tricks on how to use Tableau for presentation purposes.
Chapter 11, Designing Dashboards and Best Practices for Visualizations, takes you through different formatting techniques and design rules to maximize the aesthetics of your visualizations.
Chapter 12, Leveraging Advanced Analytics, will help you take your analytical skills to the next level with three advanced use cases to follow along with: self-service, time series, and geo-spatial analytics.
Chapter 13, Improving Performance, addresses various aspects of performance with the intent to empower you to create fast-loading dashboards for the best user experience.
Chapter 14, Exploring Tableau Server and Tableau Cloud, covers the different offerings and functionalities of Tableau Server, including Ask Data and Data Details.
Chapter 15, Integrating Programming Languages, shows you how to integrate R and Python with Tableau to enable (almost) unlimited analytics capabilities.
Chapter 16, Developing Data Governance Practices, introduces you to the vast and important topic of data governance and how to comply with regulations by using Tableau Server.
