Advanced Analytics with R and Tableau: Advanced analytics using data classification, unsupervised learning and data visualization

Roberto Rösler

Jen Stirrup

Ruben Oliva Ramos

$9.99 ~~$35.99~~

1.3 (7 Ratings)

eBook Aug 2017 178 pages 1st Edition

Roberto Rösler

Jen Stirrup

Ruben Oliva Ramos

$9.99 ~~$35.99~~

1.3 (7 Ratings)

eBook Aug 2017 178 pages 1st Edition

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Key benefits

A comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R
Combine Tableau analytics and visualization with the power of R using this step-by-step guide
Wondering how R can be used with Tableau? This book is your one-stop solution.

Description

Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics. By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.

Who is this book for?

This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau. A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning. Those R developers who want to integrate R in Tableau will also benefit from this book.

What you will learn

Integrate Tableau s analytics with the industry-standard, statistical prowess of R.
Make R function calls in Tableau, and visualize R functions with Tableau using RServe.
Use the CRISP-DM methodology to create a roadmap for analytics investigations.
Implement various supervised and unsupervised learning algorithms in R to return values to Tableau.
Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions.

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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GP_user Nov 14, 2019

I used this book for a training. Seems that author or the editors could have spent more time before publishing this book. Texts and codes don’t always match and codes are not even consistent. Best part is on page 124, data was about flower iris, but middle in the page it reads ‘wine’ from some unknown data. You can’t help but thinking how nice it must have been thinking of flowers and wines while writing this part!

Amazon Verified review

NJ Reader Oct 30, 2017

Overall, the book is a fantastic overview of using R in tableau. The issue is that you cannot get your hands on the files to go along with the book. In the beginning, they have you going to Packt Publishing and/or Git Hub to get them, but when you do, there are only "read me" files and the CSV data you should have is nowhere to be found.. I contacted Packt and they sent me two emails, telling me that were trying to reach the author. The problem is that I wanted the files in order to teach classes with them. I would have given five stars to the book, if I had the files. But, as is, my students cannot use the book in the way the author says they can.

Ray Prtha Aug 02, 2020

This book contains pages and pages of theory with very little practical execution or hands-on exercises. Totally useless. It is like reading a book on swimming when what you really want to do is actually swim.

Tim Terry Feb 27, 2019

I don't ever want to write a negative review for a book. However, in this case, it seems warranted. The text of the e-book seems to be incomplete. The chapter summaries read as if large parts of chapters are missing. The packet of supporting files are very confusing. The sample Tableau files are missing the associated databases and have nothing to do with the chapters. I thought maybe the file set was wrong, but the databases are the correct ones. The R examples seem to be well done, but the Tableau examples are pretty poorly documented. I was hoping for a book that talked about integration of R and Tableau more. Perhaps this book does, within the missing sections, but as is, it was not 40 dollars well spent. I'm very dissatisfied.

Huy Jan 02, 2020

This book has a lot of useful informations if and only if the data they use is not broken/changed.

Advanced Analytics with R and Tableau: Advanced analytics using data classification, unsupervised learning and data visualization

What do you get with eBook?