Companies that use R Language
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.
967
companies
List of companies using R Language
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"r-language\"
]
}"Technology
is any of
R Language
Employees68kRevenue$4.8BIT Services and IT ConsultingR LanguageHigh confidence
Employees29kRevenue$3.6BHigher EducationR LanguageHigh confidence
Employees13kRevenue$29BFinancial ServicesR LanguageMedium confidence
Employees30kRevenue$4.9BInformation ServicesR LanguageMedium confidence
Employees5.7kIT Services and IT ConsultingR LanguageMedium confidence
Employees2kConstructionR LanguageMedium confidence
Employees593Revenue$27MPharmaceutical ManufacturingR LanguageMedium confidence
Employees27Revenue$1.4MResearch ServicesR LanguageMedium confidence
Employees1.1kHospitals and Health CareR LanguageMedium confidence
Employees285Financial ServicesR LanguageMedium confidence
We have data on 967 companies and users that use R Language. Our R Language users and 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.
Technology Usage Statistics and Market Share
How to target R Language users
- How to customize this list?
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You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
- How to import this data to my CRM?
You can export this data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
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.