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

Chapter 4. Prediction with R and Tableau Using Regression

In this chapter, we will consider regression from an analytics point of view. We will look at the predictive capabilities and performance of regression algorithms, which is a great start for the analytics program. At the end of this chapter, you'll have experience in simple linear regression, multi-linear regression, and k-Nearest Neighbors regression using a business-oriented understanding of the actual use cases of the regression techniques.

We will focus on preparing, exploring, and modeling the data in R, combined with the visualization power of Tableau in order to express the findings in the data.

Some interesting datasets come from the UCI machine learning datasets, which can be obtained from the following link:

During the course of this chapter, we will use datasets that are obtained from the UCI website, in addition to default R datasets.