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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
Languages
Tools
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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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Toc

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

Index

A

  • Abstract Data Type (ADT) / Graph implementations
  • actual values
    • comparing, with predicted results / Comparing actual values with predicted results
  • acyclic graph / Terminology and representations
  • Adult UCI data
    • reference / Prerequisites
  • Analysis of variance (ANOVA) / Describing Clusters – Models Tab
  • assignment operators / Assignment operators
  • Asterix
    • about / Working with dirty data
  • Azure ML / Next steps

B

  • backpropagation / Different types of neural networks, Backpropagation and Feedforward neural networks
  • basic list / Lists
  • Bayesian methods / Bayesian methods
  • Bayesian probability
    • implementing / Bayesian Theory
  • business understanding / Business understanding

C

  • Calculation Editor / Replicating our results using R and Tableau together
  • cluster
    • saving, constraints / Constraints on saving Clusters
  • clustering...
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