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Advanced Analytics with R and Tableau

You're reading from   Advanced Analytics with R and Tableau Advanced analytics using data classification, unsupervised learning and data visualization

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781786460110
Length 178 pages
Edition 1st Edition
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Authors (3):
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Roberto Rösler Roberto Rösler
Author Profile Icon Roberto Rösler
Roberto Rösler
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Jen Stirrup Jen Stirrup
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Jen Stirrup
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Table of Contents (10) Chapters Close

Preface 1. Advanced Analytics with R and Tableau FREE CHAPTER 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

Control structures in R

R has the appearance of a procedural programming language. However, it is built on another language, known as S programming language. S leans towards functional programming. It also has some object-oriented characteristics. This means that there are many complexities in the way that R works.

In this section, we will look at some of the fundamental building blocks that make up key control structures in R, and then we will move onto looping and vectorized operations.

Assignment operators

R has five assignment operators, which are listed here:

<-

->

=

<<-

->>

In this book, we will use the following assignment operator:

<-

We will use this assignment operator here, because it is used commonly in examples on well-known internet sites such as StackOverflow (http://stackoverflow.com/). It's also possible to use the rightward assignment operator, but that is confusing for many people so it is not used here. Note also that the equals sign isn&apos...

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