What this book covers

Chapter 1, Getting Started with Tableau Prep, runs through the various use cases in which you can employ Tableau Prep as a tool for data analysis.

Chapter 2, Extract and Load Processes, explains how to connect to various data source types and write your output to different destinations.

Chapter 3, Cleaning Transformations, covers how to apply cleaning operations to your dataset, including filtering, validation, and splitting columns.

Chapter 4, Data Aggregation, looks at how to aggregate data using aggregation and grouping functions.

Chapter 5, Combining Data, addresses how to join various disparate datasets using join and union tools.

Chapter 6, Pivoting Data, looks at how to pivot the orientation of your data from columns to rows and vice versa.

Chapter 7, Creating Powerful Calculations, explains how to add calculated fields to your dataset.

Chapter 8, Data Science in Tableau Prep Builder, covers how to add R or Python code to your Tableau Prep data flow.

Chapter 9, Creating Prep Flows in Various Business Scenarios, lets you practice a full end-to-end flow creation using a variety of methods discussed in this book.