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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 ...
The group of packages strives to provide a cohesive collection of functions to deal with common data science tasks, including data import, cleaning, transformation and visualisation (notably with the ggplot2 package). The R Infrastructure packages [31] support coding and the development of R packages and as of 2021-05-04, Metacran [17] lists 16 ...
Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3] [4] [5] As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages. [6] The tidyverse is the subject of multiple books and papers.
Hadley Alexander Wickham (born 14 October 1979) is a New Zealand statistician known for his work on open-source software for the R statistical programming environment.He is the chief scientist at Posit PBC and an adjunct professor of statistics at the University of Auckland, Stanford University, and Rice University.
RKTeaching (stylized as rk.Teaching) is a package specially designed for use in teaching and learning statistics, integrating modern packages (such as R2HTML, plyr and ggplot2 among others) as RKWard native outputs. As of 2020, RKTeaching is in version 1.3.0.
Statistical software package for exploratory data analysis, dynamic data visualization, statistical modeling, design of experiments, time series forecasting, quality improvement and Six Sigma. Statistical Lab: Yes 2005: May 2, 2011 / 3.81 Systat: Proprietary: No 1979: Statistics SymPy: BSD: Yes 2007: September 14, 2018 / 1.3 Linux, Mac OS X ...
A personal loan may offer a cheaper way out of tax debt if you can meet 3 key criteria. Learn the benefits and drawbacks — including alternatives — in this comprehensive guide.
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.