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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

Summary

In this chapter, we started on our journey of conducting Tableau analytics with the industry-standard, statistical prowess of R. In this chapter, we covered the installation of R, including a key point about ensuring the right bitness before we start. We also installed RStudio and ran a script, as a way of engaging with R. Finally, we installed and configured Rserve for Tableau.

In our next chapter, we will learn more about the underlying data structures of R so that we can make use of the analytic power of Tableau and R more effectively.

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Advanced Analytics with R and Tableau
Published in: Aug 2017
Publisher: Packt
ISBN-13: 9781786460110
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