#### 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.
Advanced Analytics with R and Tableau
Credits
www.PacktPub.com
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Preface
Free Chapter
Advanced Analytics with R and Tableau
The Power of R
A Methodology for Advanced Analytics Using Tableau and R
Prediction with R and Tableau Using Regression
Classifying Data with Tableau
Index

There are a few important items to note about the creation of functions in R. Functions return a value. As a rule, functions return the value of the last expression in the function body.

Local variables are set temporarily for the duration of the function call, and they are cleared when the function exists.

Function parameters affect the function locally, and the original caller's value is not changed.

You can create your own functions using the `function` keyword. Here is an example of a function created from an earlier piece of code:

```myfunction <- function(x, y, z) tapply(x,y,z)
```

So, if we take our earlier example, we could change it so that it uses functions:

```output <-
data.frame(MinPetalLength=myfunction(iris\$Petal.Length,iris\$Species,max),
MaxPetalLength=myfunction(iris\$Petal.Length,iris\$Species,max),
MeanPetalLength=myfunction(iris\$Petal.Length,iris\$Species,mean),
NumberofSamples=myfunction(iris\$Petal.Length,iris\$Species...```