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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

Clustering example in Tableau


In the example, we are going to use clustering to drag the cluster pill from the sheet into the data pane on the left. You can treat the resulting field as a group. In your visualizations, Tableau will treat the cluster field like any other visualization.

These include standardization of inputs that automatically scale the data and multiple correspondence analyses (if you're curious about the details, you can find out more about the math behind clustering in product documentation at http://onlinehelp.tableau.com/v10.0/pro/desktop/en-us/help.html#clustering.html).

This means you can work with many different types of data with minimal preparation. You can include categorical fields such as education level in your clustering analysis alongside numeric variables such as income without worries or use it for clustering survey responses where all inputs could be categorical.

Creating a Tableau group from cluster results

Drag Clusters from the Marks card (or from any other...

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