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dplyr is an R package for data manipulation.
But what does dplyr stand for?
(I think 'd' stands for data.)
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dplyr is a new package which provides a set of tools for efficiently manipulating datasets in R. dplyr is the next iteration of plyr , focussing on only data frames.
The dplyr (pronounced DEE ply er) package is one of those packages that, consistently, newcomers to R do not know about and who then get confused by some (one) aspect of it…but experienced R users seldom write a script without using.
The dplyr package makes these steps fast and easy: By constraining your options, it helps you think about your data manipulation challenges. It provides simple “verbs”, functions that correspond to the most common data manipulation tasks, to help you translate your thoughts into code.
The dplyr package in R Programming Language is a structure of data manipulation that provides a uniform set of verbs, helping to resolve the most frequent data manipulation hurdles.
The dplyr package in R is a structure of data manipulation that provides a uniform set of verbs, helping to resolve the most frequent data manipulation hurdles. The dplyr package performs the steps given below quicker and in an easier fashion:
dplyr is a new package which provides a set of tools for efficiently manipulating datasets in R. dplyr is the next iteration of plyr, focussing on only data frames. dplyr is faster, has a more consistent API and should be easier to use. There are three key ideas that underlie dplyr:
From dplyr github: The d is for dataframes, the plyr is to evoke pliers. Pronounce however you like. Share Improve this answer Follow answered Jun 1 '17 at 9:48
dplyr is designed to abstract over how the data is stored. That means as well as working with local data frames, you can also work with remote database tables, using exactly the same R code. Install the dbplyr package then read vignette ("databases", package = "dbplyr").
From dplyr github:
The d is for dataframes, the plyr is to evoke pliers. Pronounce however you like.
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