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


The R interface is not particularly intuitive for beginners. For this reason, RStudio IDE, the desktop version, is an excellent option for interacting with R. The download and installation sequence is provided.

There are two versions; the RStudio Desktop version, and the paid RStudio Server version. In this book, we will focus on the RStudio Desktop IDE option, which is open source.

Prerequisites for RStudio installation

In this section, RStudio IDE is installed on the Windows 10 operating system:

  1. To download RStudio, you can retrieve it from

  2. Once you have downloaded RStudio, double-click on the file to start the installation. This will display the RStudio Setup and Welcome page. Click Next to continue:

  3. The next option allows the user to configure the installation location for RStudio. Here, the default option has been retained. If you do change the location, you can click Browse to select your preferred installation folder. Once you've selected your folder, click Next to continue to the next step.

  4. In the next step, RStudio shortcuts are specified. Click on Install to proceed:

  5. RStudio installs in the next step:

  6. Once completed, launch RStudio IDE. You can find it by navigating to Start | All Programs | RStudio | RStudio.exe. Alternatively, you can type RStudio into the Cortana search box. If you specified a custom installation directory, then you can find RStudio as an EXE file. The default installation directory for RStudio IDE is C:\Program Files\RStudio\bin\rstudio.exe.

  7. Type help.start() at the RStudio prompt and press Enter. If you can see the help files on the screen then you have successfully installed and configured RStudio IDE to run with R.