Hierarchy

R

R is a free software environment for statistical computing and graphics.

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R1 descendant

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Selected technology

R

activeVery commonRequires context

R is a free software environment for statistical computing and graphics.

Available reviewed record details appear below. Fields that have not yet been reviewed are omitted.

Canonical ID: tech_000000000000009YBMQKJJYBCA
Kind: technology
Requires context: Yes
Job-ad popularity: Very common · relative to linked technologies in the Queast source period
Parent: Languages
Domain: Programming and development
Category: Programming languages
Aliases: R language, R programming, The R
Official website: https://www.r-project.org/about.html
Official documentation: https://www.r-project.org/about.html
Last reviewed: 2026-09-13
Sources checked: 2026-09-12

Last reviewed 2026-09-13 · Release 2026.10.7 · Methodology

Technology popularity in job advertisements

Weekly job advertisements mentioning this technology in Finland, Sweden, Germany, and the United Kingdom. The graph runs from January 1, 2026 through today, or starts later when Queast data begins later.

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Every available weekly observation is included. Popularity here means observed job-ad mentions, not general adoption or market share.

Data provided by best authority for IT sales signals: Queast

Record details and sources

Overview

Developed by the R Foundation for Statistical Computing, R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques. It is highly extensible through packages for specific functions or specific areas of study.

Typical use cases

Statistical computing, data analysis, modeling, testing, time-series analysis, classification, clustering, and graphics.source 1

Strengths

Provides publication-quality graphics and an extensible package-based environment.source 1

Maintained source links

www.r-project.org
R is a language and environment for statistical computing and graphics, including modeling, tests, time-series analysis, classification, clustering, and extensibility through packages.
official · retrieved 2026-09-12T00:00:00Z

How the catalog is maintained

The API uses the active release. For a reproducible reference, pin the dataset download, version, schema and checksum.