II.
Language overview
Reference · livelanguage:r-lang
R overview
R is an open-source language and environment for statistical computing, data analysis, and visualization. It was developed at Bell Labs (as S) and is now maintained by the R Foundation. R excels at exploratory data analysis, classical statistics, and publication-quality graphics. The tidyverse (dplyr, ggplot2, tidyr, purrr, readr) provides a coherent framework for data manipulation and visualization. The Bioconductor project extends R for genomics and bioinformatics. R Markdown and Quarto enable reproducible research documents that weave code and narrative. Shiny builds interactive web applications directly from R. R is commonly used alongside Python in data science teams, with reticulate enabling interoperability.
Attributes
displayName
R
paradigms
- functional
- statistical
description
R is an open-source language and environment for statistical computing,
data analysis, and visualization. It was developed at Bell Labs (as S)
and is now maintained by the R Foundation. R excels at exploratory data
analysis, classical statistics, and publication-quality graphics.
The tidyverse (dplyr, ggplot2, tidyr, purrr, readr) provides a coherent
framework for data manipulation and visualization. The Bioconductor
project extends R for genomics and bioinformatics. R Markdown and
Quarto enable reproducible research documents that weave code and
narrative. Shiny builds interactive web applications directly from R.
R is commonly used alongside Python in data science teams, with
reticulate enabling interoperability.
Outgoing edges
applies_to2
- domain:data-science·DomainData Science
- domain:bioinformatics·DomainBioinformatics
Incoming edges
None.