Book Image

Advanced Analytics with R and Tableau

By : Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler
Book Image

Advanced Analytics with R and Tableau

By: Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler

Overview of this book

Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.
Table of Contents (16 chapters)
Advanced Analytics with R and Tableau
About the Authors
About the Reviewers
Customer Feedback

Implementing the scripts for the book

Now that we have installed R and RStudio, we can download and install the scripts for this book. This book's scripts and code can be found on GitHub. If the reader hasn't got a free GitHub account, then it's recommended that Git and GitHub are set up. It's good practice for storing your own R scripts at a later date. If required, the reader is referred to the GitHub site for more details. GitHub itself can be found at Training material can be found at

After setting up Git and GitHub, you can download our data and scripts by taking a copy of this book's GitHub repository. Simply put, a fork is a copy of a repository, and it means that you can freely experiment with changes without affecting the original project. Please refer to the GitHub training material for more information on how to fork a repository, download data and scripts, and how to keep your local copy in sync with changes to the repository.


Go to the GitHub repo at

At the top right-hand corner of the page, click Fork. This means you have forked the repository. The next step is to download the files to your local computer. To do this, you can run the following line of code in your Git Bash:

Testing the scripting

Before we proceed, let's proceed to run a script to test that our setup works:

  1. Open the script in RStudio's script editor.

  2. Go to the Code menu item.

  3. Choose Source from the menu.

  4. Navigate to the Packt Tableau and R Book Setup.r file.

  5. Press Ctrl + A to select the whole script.

  6. In the script window, click Run.

  7. You should see the results in the output window.