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R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
700
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
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There are 123 alternatives to R Language
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R Language is used in 37 countries
Technology
is any of
R Language
Company | Country | Industry | Employees | Revenue | Technologies |
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392 |
| R Language | |||
United States | Construction | 1.8K | $7M | R Language | |
Agriculture, Construction, Mining Machinery Manufacturing | 2 |
| R Language | ||
United States | Financial Services | 13K | $29B | R Language | |
United States | Government Administration | 983 | $47M | R Language | |
Professional Training And Coaching |
| R Language | |||
| R Language | ||||
United States | Retail Art Dealers | 250 |
| R Language | |
| R Language | ||||
United Kingdom | Professional Services | 180 | $32M | R Language |
We have data on 700 companies that use R Language. Our R Language customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
R Language is a widely used programming language and environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques and is highly extensible. Originally developed by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, R Language has gained immense popularity among statisticians, data scientists, and researchers due to its powerful capabilities and open-source nature.
In the category of Languages, R Language stands out as a specialized tool for statistical analysis and data visualization. It offers a vast array of packages and libraries that cater to the needs of academia, research, and industry. Data manipulation, statistical modeling, machine learning, and visualization are some of the key strengths of R Language, making it a preferred choice for analyzing and interpreting complex datasets.
R Language was first developed in 1993 by Robert Gentleman and Ross Ihaka as an open-source project aimed at providing a free implementation of the S programming language. Their motivation was to create a software environment that allows statisticians and researchers to perform data analysis and statistical computations efficiently. Over the years, R Language has evolved into a comprehensive platform with a strong community support and continuous development.
In terms of current market share within the Languages category, R Language has a significant presence, especially in the fields of data science, machine learning, and statistical analysis. With the increasing demand for data-driven insights and the rise of AI technologies, the adoption of R Language is expected to grow further. As organizations focus more on data analytics and predictive modeling, the future prospects for R Language appear promising, indicating a potential expansion in its market share.
You can access an updated list of companies using R Language by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 700 companies that use R Language.
R Language is used by a diverse range of organizations across various industries, including "Construction", "Agriculture, Construction, Mining Machinery Manufacturing", "Financial Services", "Government Administration", "Professional Training And Coaching", "Retail Art Dealers", "Professional Services". For a comprehensive list of all industries utilizing R Language, please visit TheirStack.com.
Some of the companies that use R Language include Posit, CRB, ArrayGen Technologies, Fannie Mae, ORAU, IANT Institute of Hardware and Networking, SHB Finance, Sagen, Meet Codio, The Cap Consulting Group Pte Ltd and many more. You can find a complete list of 700 companies that use R Language on TheirStack.com.
Based on our data, R Language is most popular in United States (265 companies), United Kingdom (39 companies), Canada (25 companies), India (20 companies), Singapore (14 companies), Germany (13 companies), Australia (8 companies), France (8 companies), Switzerland (8 companies), Netherlands (7 companies). However, it is used by companies all over the world.
You can find companies using R Language by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.