New PDF release: Data Manipulation with R - Second Edition

By Jaynal Abedin,Kishor Kumar Das

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

About This Book

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

Who This booklet Is For

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

What you are going to Learn

  • Learn approximately R information varieties and their uncomplicated operations
  • Work successfully with string, issue, and date variables utilizing stringr
  • Understand group-wise info manipulation
  • Work with diverse layouts of R datasets and interchange among layouts for numerous purposes
  • Manage greater datasets utilizing pylr and dpylr
  • Perform info manipulation with add-on applications resembling 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 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 items and its periods after which spotlight diversified R facts kinds with their easy operations.

The basic specialize in group-wise information manipulation with the split-apply-combine method has been defined with particular examples. The e-book additionally comprises insurance of a few particular libraries equivalent to lubridate, reshape2, plyr, dplyr, stringr, and sqldf. you won't in simple terms know about group-wise facts manipulation, but in addition how to successfully deal with date, string, and issue variables in addition to assorted layouts of datasets utilizing the reshape2 package.

By the tip of this ebook, you've realized approximately textual content manipulation utilizing stringr, how one can extract information from twitter utilizing twitteR library, how you can fresh uncooked information, 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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