Book Image

Mastering Tableau 2021 - Third Edition

By : Marleen Meier, David Baldwin
Book Image

Mastering Tableau 2021 - Third Edition

By: Marleen Meier, David Baldwin

Overview of this book

Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn 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, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
Table of Contents (18 chapters)
16
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17
Index

R installation and integration

In order 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. In order 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 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/ and choosing a CRAN mirror. Note that R works best in a Linux or UNIX environment; however, in order to learn...