Get Data Manipulation with R - Second Edition PDF

By Jaynal Abedin,Kishor Kumar Das

ISBN-10: 1785288814

ISBN-13: 9781785288814

Efficiently practice facts manipulation utilizing the split-apply-combine procedure in R

About This Book

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

Who This booklet Is For

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

What you'll Learn

  • Learn approximately R information forms and their easy operations
  • Work successfully with string, issue, and date variables utilizing stringr
  • Understand group-wise facts manipulation
  • Work with varied layouts of R datasets and interchange among layouts for numerous purposes
  • Manage greater datasets utilizing pylr and dpylr
  • Perform information 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 facts mining utilizing textual content manipulation

In Detail

This ebook starts off with the deploy of R and the way to move approximately utilizing R and its libraries. We then talk about the mode of R gadgets and its periods after which spotlight assorted R info kinds with their simple operations.

The fundamental specialize in group-wise info manipulation with the split-apply-combine approach has been defined with particular examples. The e-book additionally includes assurance of a few particular libraries akin to lubridate, reshape2, plyr, dplyr, stringr, and sqldf. you won't basically find out about group-wise information manipulation, but additionally tips on how to successfully deal with date, string, and issue variables in addition to various layouts of datasets utilizing the reshape2 package.

By the tip of this booklet, you could have discovered approximately textual content manipulation utilizing stringr, the right way to extract information from twitter utilizing twitteR library, find out how to fresh uncooked facts, and the way to constitution your uncooked info for information mining.

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


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