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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.
599
aziende
Abbiamo dati su 599 aziende che usano R Language. La nostra lista di clienti R Language è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Fannie Mae | Stati Uniti | Financial Services | 13K | $29B |
CRB | Stati Uniti | Construction | 1.9K | $7M |
ORAU | Stati Uniti | Government Administration | 845 | $47M |
Sagen | Canada | Financial Services | 250 | |
USO | Stati Uniti | Non-Profit Organizations | 1.2K | $10M |
Integrated Statistics | Stati Uniti | It Services And It Consulting | 51 | $27M |
Mirati Therapeutics Inc | Stati Uniti | Biotechnology | 500 | $72M |
Vera Therapeutics | Stati Uniti | Biotechnology | 52 | |
Saltwater | Stati Uniti | Restaurants | 200 | $31M |
BOSCH SERVICE SOLUTIONS | Spagna | Outsourcing And Offshoring Consulting | 2.7K | $600M |
Oncodea | Stati Uniti | Medical Equipment Manufacturing | 4 | |
Saltwater Inc. | Stati Uniti | Environmental Services | 140 | $31M |
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R Language è utilizzata in 34 paesi
Ci sono 94 alternative a R Language
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Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
R Language is a powerful tool widely used by companies for data analysis, statistical modeling, and visualization. Its versatility and flexibility make it a top choice for professionals in various industries. Here are some key reasons why companies choose R Language:
R Language offers a wide range of statistical functions and packages, making it a preferred choice for data scientists and statisticians. Its robust statistical capabilities enable in-depth analysis and interpretation of complex data sets, giving companies valuable insights into their operations and market trends.
With its sophisticated plotting and visualization libraries such as ggplot2, R Language allows companies to create stunning and interactive visualizations. This graphical representation of data not only enhances understanding but also aids in presenting findings effectively to stakeholders.
R Language benefits from a large and active community of developers and users who contribute to its continuous improvement. This extensive support network ensures quick resolutions to issues and provides access to a vast array of resources, including packages and tutorials.
R Language seamlessly integrates with other technologies like SQL, Python, and Hadoop, enabling companies to leverage their existing infrastructure and tools. This interoperability enhances workflow efficiency and facilitates the integration of diverse data sources for comprehensive analysis.
R Language is highly scalable and performs efficiently even with large datasets. Its parallel processing capabilities and optimization techniques make it suitable for handling complex analytics tasks, offering companies the agility to tackle data-intensive projects effectively.
R Language is constantly evolving, with regular updates and new features that cater to the changing needs of businesses. This commitment to innovation ensures that companies have access to cutting-edge tools and techniques for data analysis and modeling.
In summary, R Language stands out for its advanced statistical capabilities, extensive visualization options, strong community support, seamless integration possibilities, scalability, and continuous innovation, making it a preferred choice for companies seeking robust data analysis solutions.
R Language is widely recognized and utilized by various companies across different industries for its robust data analysis and visualization capabilities. Some well-known companies leveraging R Language in their operations include Google, Facebook, and Airbnb. Let's delve into a few case studies highlighting how these companies have successfully incorporated R Language into their workflows.
Google: Google has been utilizing R Language for data analysis and machine learning applications. By leveraging R's statistical computing capabilities, Google can efficiently process and analyze massive amounts of data to derive valuable insights for enhancing its products and services. Google started incorporating R Language into its operations several years ago, and it has since become an integral part of the company's data-driven decision-making processes.
Facebook: Facebook harnesses the power of R Language for conducting in-depth data analysis and advanced predictive modeling. The social media giant relies on R's extensive library of statistical functions and visualization tools to gain actionable insights into user behavior and engagement patterns. Facebook adopted R Language as a key analytical tool early on, enabling its data scientists and analysts to extract meaningful information from complex datasets with precision.
Airbnb: Airbnb leverages R Language for optimizing its pricing strategies and forecasting demand trends in the dynamic hospitality industry. By utilizing R's statistical modeling capabilities, Airbnb can analyze market dynamics, customer preferences, and other relevant factors to fine-tune its pricing algorithms and enhance revenue generation. Airbnb integrated R Language into its analytical framework to drive data-informed decision-making and achieve greater scalability in its pricing operations.
These case studies exemplify how companies like Google, Facebook, and Airbnb have successfully incorporated R Language into their operations to harness the power of data analytics and drive strategic decision-making initiatives. By leveraging R's advanced capabilities, these companies have gained a competitive edge in their respective industries and unlocked new opportunities for innovation and growth.
Puoi accedere a un elenco aggiornato di aziende che utilizzano R Language visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 599 aziende che utilizzano R Language.
R Language è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Financial Services", "Construction", "Government Administration", "Financial Services", "Non-Profit Organizations", "It Services And It Consulting", "Biotechnology", "Biotechnology", "Restaurants", "Outsourcing And Offshoring Consulting". Per un elenco completo di tutti i settori che utilizzano R Language, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano R Language includono Fannie Mae, CRB, ORAU, Sagen, USO, Integrated Statistics, Mirati Therapeutics Inc, Vera Therapeutics, Saltwater, BOSCH SERVICE SOLUTIONS e molte altre. Puoi trovare un elenco completo di 599 aziende che utilizzano R Language su TheirStack.com.
Secondo i nostri dati, R Language è più popolare in Stati Uniti (254 companies), Regno Unito (32 companies), Canada (24 companies), India (18 companies), Singapore (13 companies), Germania (12 companies), Australia (10 companies), Francia (8 companies), Spagna (7 companies), Paesi Bassi (5 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano R Language cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.