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 information manipulation utilizing the split-apply-combine method in R

About This Book

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

Who This e-book Is For

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

What you are going to Learn

  • Learn approximately R information forms and their simple operations
  • Work successfully with string, issue, and date variables utilizing stringr
  • Understand group-wise facts manipulation
  • Work with diversified layouts of R datasets and interchange among layouts for various purposes
  • Manage higher datasets utilizing pylr and dpylr
  • Perform info manipulation with add-on programs akin 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 publication starts off with the deploy of R and the way to head approximately utilizing R and its libraries. We then speak about the mode of R items and its periods after which spotlight assorted R information kinds with their easy operations.

The basic specialize in group-wise facts manipulation with the split-apply-combine procedure has been defined with particular examples. The publication additionally includes assurance of a few particular libraries akin to lubridate, reshape2, plyr, dplyr, stringr, and sqldf. you won't in basic terms know about group-wise facts manipulation, but in addition how one can successfully deal with date, string, and issue variables in addition to diversified layouts of datasets utilizing the reshape2 package.

By the tip of this publication, you've discovered approximately textual content manipulation utilizing stringr, tips to extract facts from twitter utilizing twitteR library, the right way to fresh uncooked info, and the way to constitution your uncooked information for information mining.

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Data Manipulation with R - Second Edition by Jaynal Abedin,Kishor Kumar Das


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