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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
Author Profile Icon Jen Stirrup
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

Chapter 2. The Power of R

Having understood how to integrate both the platforms in the previous chapter, we'll walk through the different ways in which you can use R to combine and compare data for analysis.

We will cover, with examples, the core essentials of R programming such as variables and data structures in R such as matrices, factors, vectors, and data frames. We will also focus on control mechanisms in R (relational operators, logical operators, conditional statements, loops, functions, and apply) and how to execute these commands in R to get grips with it before proceeding to chapters that heavily rely on these concepts for scripting complex analytical operations.

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