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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

Concepts

Business Intelligence

Authors (3):

Ruben Oliva Ramos

Jen Stirrup

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

1. Advanced Analytics with R and Tableau

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

Introduction to R

The R language, as the descendant of the statistics language, S, has become the preferred computing language in the field of statistics. Moreover, due to its status as an active contributor in the field, if a new statistical method is discovered, it is very likely that this method will first be implemented in the R language. As such, a large quantity of statistical methods can be fulfilled by applying the R language.

To apply statistical methods in R, the user can categorize the method of implementation into descriptive statistics and inferential statistics:

Descriptive statistics: These are used to summarize the characteristics of the data. The user can use mean and standard deviation to describe numerical data, and use frequency and percentages to describe categorical data.
Inferential statistics: Based on the pattern within sample data, the user can infer the characteristics of the population. The methods related to inferential statistics are for hypothesis testing, data...

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Authors (3)

Ruben Oliva Ramos

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.

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Jen Stirrup

Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.

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Roberto Rösler

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