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Download e-book for kindle: Data Manipulation with R - Second Edition by Jaynal Abedin,Kishor Kumar Das

By Jaynal Abedin,Kishor Kumar Das

ISBN-10: 1785288814

ISBN-13: 9781785288814

Efficiently practice info manipulation utilizing the split-apply-combine approach in R

About This Book

  • Perform info manipulation with add-on programs equivalent to plyr, reshape, stringr, lubridate, and sqldf
  • Learn approximately issue manipulation, string processing, and textual content manipulation innovations utilizing the stringr and dplyr libraries
  • Enhance your analytical talents in an intuitive manner via step by step operating examples

Who This publication Is For

This ebook is for all those that desire to know about information manipulation from scratch and excel at aggregating information successfully. it's anticipated that you've got simple wisdom of R and feature formerly performed a few uncomplicated management paintings with R.

What you'll Learn

  • Learn approximately R information forms and their uncomplicated operations
  • Work successfully with string, issue, and date variables utilizing stringr
  • Understand group-wise facts manipulation
  • Work with various layouts of R datasets and interchange among layouts for numerous purposes
  • Manage larger datasets utilizing pylr and dpylr
  • Perform facts manipulation with add-on applications similar to plyr, reshape, stringr, lubridate, and sqldf
  • Manipulate datasets utilizing SQL statements with the sqldf package
  • Clean and constitution uncooked facts for information mining utilizing textual content manipulation

In Detail

This e-book begins with the install of R and the way to head approximately utilizing R and its libraries. We then speak about the mode of R gadgets and its sessions after which spotlight varied R facts kinds with their simple operations.

The basic concentrate on group-wise information manipulation with the split-apply-combine method has been defined with particular examples. The booklet additionally includes assurance of a few particular libraries resembling lubridate, reshape2, plyr, dplyr, stringr, and sqldf. you won't simply find out about group-wise information manipulation, but in addition successfully deal with date, string, and issue variables in addition to diverse layouts of datasets utilizing the reshape2 package.

By the tip of this e-book, you've discovered approximately textual content manipulation utilizing stringr, tips on how to extract facts from twitter utilizing twitteR library, how one can fresh uncooked facts, and the way to constitution your uncooked information for information mining.

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