Book description
Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R
About This Book
 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 stepbystep guide
 Wondering how R can be used with Tableau? This book is your onestop solution.
Who This Book Is For
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 handson learning. Those R developers who want to integrate R in Tableau will also benefit from this book.
What You Will Learn
 Integrate Tableau's analytics with the industrystandard, statistical prowess of R.
 Make R function calls in Tableau, and visualize R functions with Tableau using RServe.
 Use the CRISPDM 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 datadriven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions.
In Detail
Tableau and R offer accessible analytics by allowing a combination of easytouse data visualization along with industrystandard, robust statistical computation.
Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data vizsavvy 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, handson examples will ease the transition from being a datasavvy 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 handson examples.
Style and approach
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 examplerich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R and create beautiful data visualizations.
Publisher resources
Table of contents

Advanced Analytics with R and Tableau
 Table of Contents
 Advanced Analytics with R and Tableau
 Credits
 About the Authors
 About the Reviewers
 www.PacktPub.com
 Customer Feedback
 Preface
 1. Advanced Analytics with R and Tableau
 2. The Power of R
 3. A Methodology for Advanced Analytics Using Tableau and R
 4. Prediction with R and Tableau Using Regression
 5. Classifying Data with Tableau
 6. Advanced Analytics Using Clustering
 7. Advanced Analytics with Unsupervised Learning
 8. Interpreting Your Results for Your Audience
 Index
Product information
 Title: Advanced Analytics with R and Tableau
 Author(s):
 Release date: August 2017
 Publisher(s): Packt Publishing
 ISBN: 9781786460110
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