Jen Stirrup & Ruben Oliva Ramos 
Advanced Analytics with R and Tableau [EPUB ebook] 

Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R

• A comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R


• Combine Tableau analytics and visualization with the power of R using this step-by-step guide


• Wondering how R can be used with Tableau? This book is your one-stop solution.

This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau.

A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book.

• Integrate Tableau’s analytics with the industry-standard, statistical prowess of R.


• Make R function calls in Tableau, and visualize R functions with Tableau using RServe.


• Use the CRISP-DM methodology to create a roadmap for analytics investigations.


• Implement various supervised and unsupervised learning algorithms in R to return values to Tableau.


• Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions.

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.

Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. When you want to move from one view of data to another, backed up by complex computations, the combination of R and Tableau makes the perfect solution. This example-rich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R and create beautiful data visualizations.