Data Analytics Using R
by: Seema Acharya
Language 语言: English
Binding: Paperback
Publisher finelybook 出版社: Mcgrawhill HED
Genre: Computer Science Engineering
ISBN-13: 9789352605248,9352605241
Edition 版本: 1,2018
Pages: 580
Book Description
Table of contents
Chapter 1 Introduction to R
Chapter 2 Getting Started with R
Chapter 3 Loading and Handling Data in R
Chapter 4 Exploring Data in R
Chapter 5 Linear Regression using R
Chapter 6 Logistic Regression
Chapter 7 Decision Tree
Chapter 8 Time Series in R
Chapter 9 Clustering
Chapter 10 Association Rules
Chapter 11 Text Mining
Chapter 12 Parallel Computing with R
Description
This book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives,and management graduates and business analysts,engaged inself-study.
This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’.
• Exhaustivecoverage includes installation of R and its package,getting accustomed to Rinterface and R commands,working with data from disparate data sources (.csv,JSON,XML,RDBMS etc.),getting conversant with classification,clustering,association rule mining,regression,text mining etc.
• 12 Casestudies namely Insurance Fraud Detection,Customer Insights Analysis,SalesForecasting,Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic
• Pedagogy
o 300+chapter-end and check your progress questions for self-assessment
o 200Multiple-choice questions
o 10+hands-on practical exercises
o Exhaustiveillustrations
