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R Data Analysis Cookbook - More Than 80 Recipes to Help You Deliver Sharp Data Analysis

R Data Analysis Cookbook - More Than 80 Recipes to Help You Deliver Sharp Data Analysis - Free Ebook Download

Book Detail

Author/Editor(s): Viswa Viswanathan, Shanthi Viswanathan
Publication Date: May 29, 2015
ISBN-10: 1783989068
ISBN-13: 978-1783989065
Language: English
Edition: n/a
Publisher: Packt Publishing - ebooks Account
Size: 12.9 MB
Format: pdf, epub

Book Description

Data analysis has recently emerged as a very important focus for a huge range of organizations and businesses. R makes detailed data analysis easier, making advanced data exploration and insight accessible to anyone interested in learning it.

This book empowers you by showing you ways to use R to generate professional analysis reports. It provides examples for various important analysis and machine-learning tasks that you can try out with associated and readily available data. The book also teaches you to quickly adapt the example code for your own needs and save yourself the time needed to construct code from scratch.

About the Author

Viswa Viswanathan is an associate professor of Computing and Decision Sciences at the Stillman School of Business in Seton Hall University. After completing his PhD in artificial intelligence, Viswa spent a decade in academia and then switched to a leadership position in the software industry for a decade.

Shanthi Viswanathan is an experienced technologist who has delivered technology management and enterprise architecture consulting to many enterprise customers. She has worked for Infosys Technologies, Oracle Corporation, and Accenture. As a consultant, Shanthi has helped several large organizations, such as Canon, Cisco, Celgene, Amway, Time Warner Cable, and GE among others, in areas such as data architecture and analytics, master data management, service-oriented architecture, business process management, and modeling.

Reviews

This is an excellent book if you want to get your hands dirty with R as quickly as possible and start analyzing data. Without wasting time on pages and pages of documentation, the authors have beautifully portrayed excellent examples for various operations and areas of data analysis with excellent recipes including code and explanations. Each chapter is brief and to the point and overall this definitely captures the essence of doing Data Analysis using R.

--Dipanjan Sarkar, Amazon Customer Reviews
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