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Advanced Analytics with R and Tableau

You're reading from  Advanced Analytics with R and Tableau

Product type Book
Published in Aug 2017
Publisher Packt
ISBN-13 9781786460110
Pages 178 pages
Edition 1st Edition
Languages
Authors (3):
Ruben Oliva Ramos Ruben Oliva Ramos
Profile icon Ruben Oliva Ramos
Jen Stirrup Jen Stirrup
Profile icon Jen Stirrup
Roberto Rösler Roberto Rösler
View More author details

Table of Contents (16) Chapters

Advanced Analytics with R and Tableau
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Advanced Analytics with R and Tableau The Power of R A Methodology for Advanced Analytics Using Tableau and R Prediction with R and Tableau Using Regression Classifying Data with Tableau Advanced Analytics Using Clustering Advanced Analytics with Unsupervised Learning Interpreting Your Results for Your Audience Index

Scaling


Tableau scales values automatically so that columns having a larger range of magnitudes don't dominate the results. For example, an analyst could be using inflation and GDP as input variables for clustering, but because GDP values are in trillions of dollars, this could cause the inflation values to be almost completely disregarded in the computation. Tableau uses a scaling method called min-max normalization, in which the values of each variable are mapped to a value between 0 and 1 by subtracting its minimum and dividing by its range.

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