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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

Product type Paperback

Published in Aug 2017

Publisher Packt

ISBN-13 9781786460110

Length 178 pages

Edition 1st Edition

Languages

R

Tools

Tableau

Concepts

Business Intelligence

Authors (3):

Roberto Rösler

Ruben Oliva Ramos

Jen Stirrup

View More author details

Table of Contents (10) Chapters

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

Chapter 3. A Methodology for Advanced Analytics Using Tableau and R

In the era of big data when lack of methodology is likely to produce random and false discoveries, a robust framework for delivery is extremely important. According to a Dataversity poll in 2015, it was found that only 17% of survey respondents said they had a well-developed Predictive or Prescriptive Analytics program in place. On the other hand, 80% of respondents said they planned on implementing such a program within five years. How can we ensure that our projects are successful?

There is an increasing amount of data in the world, and in our databases. The data deluge is not going to go away anytime soon! Businesses risk wasting the useful business value of information contained in databases, unless they are able to excise useful knowledge from the data.

There is a saying in the world of data: garbage in, garbage out. Data needs to be cleaned before it is turned into information. There is a difference between...

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Authors (3)

Roberto Rösler

Roberto Rösler

See other products by Roberto Rösler

Jen Stirrup

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.

See other products by Jen Stirrup

Ruben Oliva Ramos

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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