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


R has many functions that are included as part of the installation. In the first instance, let's look to see how we can work smart by finding out what functions are available by default.

In our last example, we used the split() function. To find out more about the split function, we can simply use the following command:


As an alternative, we can use the following statement:


It's possible to get an overview of the arguments required for a function. To do this, simply use the args command:


Fortunately, it's also possible to see examples of each function by using the following command:


If you need more information than the documented help file about each function, you can use the following command. It will go and search through all the documentation for instances of the keyword:"split")

If you want to search the R project site from within RStudio, you can use the RSiteSearch command. For example: