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 (10 chapters)
9
Index

Chapter 1. Advanced Analytics with R and Tableau

Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for a data-savvy user who wants to move into analytics and data science in order to make a difference to their businesses, by harnessing the analytical power of R and the stunning visualization capabilities of Tableau.

Together, Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, and predictive visually appealing analytical solutions can be designed solutions with R and Tableau.

Let's get ready to start our transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. To do this, we need to get the tools ready. In this topic, we will commence our journey of conducting Tableau analytics with the industry-standard, statistical prowess of R. As the first step on our journey, we will cover the installation of R, including key points about ensuring the right bitness before we start. In order to create R scripts easily, we will install RStudio for ease of use.

We need to get R and Tableau to communicate, and to achieve this communication, we will install and configure Rserve.