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dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham [1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. [2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3 ...
Compared to libraries in other programming languages, R packages must conform to a relatively strict specification. [3] The Writing R Extensions manual [7] specifies a standard directory structure for R source code, data, documentation, and package metadata, which enables them to be installed and loaded using R's in-built package management ...
Berkshire Hathaway (NYSE: BRK.A)(NYSE: BRK.B) owns a stock portfolio worth roughly $300 billion with about four dozen individual stocks in it. Legendary stock-picker Warren Buffett himself hand ...
The U.S. and Texas state flags fly outside the state Capitol building, in Austin, Texas, on July 12, 2021.
ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
That’s one of the sharpest declines for the retailer in a decade. Its revenue declined by 5% too, Ingka reported on Wednesday. Unfortunately for Ikea, thanks to Donald Trump's reelection, those ...
The three-point estimation technique is used in management and information systems applications for the construction of an approximate probability distribution representing the outcome of future events, based on very limited information.