Book Image

Mastering Tableau 2023 - Fourth Edition

By : Marleen Meier
Book Image

Mastering Tableau 2023 - Fourth Edition

By: Marleen Meier

Overview of this book

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.
Table of Contents (19 chapters)
17
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18
Index

R installation and integration

To adequately understand how Tableau and R work together, it’s important to grasp the big picture. To facilitate that understanding, we’ll cover high-level concepts and information in this section before delving into calculated fields and R scripting details.

Installing R is typically not difficult, but it does involve more than simply double-clicking on an executable. To successfully connect Tableau with R, you will need to make sure that permissions are correctly set and that various components—some required and some that are just nice to have—are correctly implemented. We will cover the basics, review a couple of the typical challenges faced during installation, and provide troubleshooting guidance.

Perform the following steps to install R:

  1. Download R by visiting http://www.r-project.org/, click on the download R hyperlink, and choose a CRAN mirror. Note that R works best in a Linux or Unix environment...