
R is an open-source programming language that is used for statistical analysis, data visualization, and data science. In addition, it is extensively used by researchers from diverse disciplines to estimate and exhibit results and by teachers of statistics and research methods. The R language is very reliable and compatible with different technologies. This programming language has more than 10,000 libraries and packages to improve and add to its vital capabilities. This language also has libraries for dynamic as well as static graphics. This blog will look at different uses of R and how it can help different fields such as the IT sector, finance, social media, and many more.
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What is R?
R is a coding language and free software developed by Ross Ihaka and Robert Gentleman in 1993. This language has a detailed list of statistical and graphical methods. This includes Linear Regression, Machine Learning algorithms, Time Series, and Statistical Influence to name a few. In other words, most of the libraries are written in R language, but for big computational tasks prefer C, C++, and Fortran code.
Furthermore, R programming language is not only entrusted by academics. But multiple big companies also use the R language such as Google, Facebook, Airbnb, Uber, and so on.
A list of the most common uses of R language
The use of the R programming language in many fields. Here are lists of the most common uses of R.
IT sector
The use of R programming language is not only by the IT sector but also by small, medium, and large businesses for their business intelligence. This company uses it for machine learning products. Because it can build computational tools and statistical data handling products which can make data manipulation services.
There are numerous IT companies that use R programming languages, some of them are as follows.
- Wipro
- Microsoft
- Paytm
- IBM
- Tata Consultancy Services
- Infosys
Finance
The other use of the R programming language in finance industries deals with a lot of statistical data since it is a statistical programming language. In addition, in the financial sector, R and data science provide a vast range of applications.
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Moreover, R language may be utilized for advanced statistical suites to perform different financial tasks and computations. With the help of this language and its libraries, one can readily do a risk assessment, auto-regression, stock-market modeling, moving averages, financial data mining, time-series analysis, and many more. This programming language also supports the process of business decision-making.
Social media
The uses of R programming language in social media companies. Social media companies like Facebook use this language to evaluate different behaviors and sentiments. Anyone can change and improve the suggestion for the user, which is based on the user’s history and mood, and the tone of the recent posts and view content.
Basically, according to the user’s sentiments and history, the advertisement can be adjusted for the users. Several programmers use an R programming language to analyze user traffic, sessions, and content that can improve the experience of the users.
Research & Academic
The use of R coding language by many students to perform statistical analysis and calculations, and is a statistical research tool. And the techniques of the statistics might be linear and non-linear modeling, classification, analysis, classification statistics tests, and all other R language execution and its libraries.
E-Commerce
The e-commerce company uses of R programming language to enhance user experience on its website and for finance and marketing purposes. With this language, they can improve cross-product selling as if a client purchases a product from their site, it will indicate some additional product as per their original purchases. These indications are also helpful to the past customer too.
Banking
There are different banking organizations that use R coding language for risk modeling and risk analytics. Multiple banks use the R language with their proprietary software like SAS.
In addition, it is also used for mortgage modeling, client assessment, volatility, stat modeling, fraud detection, loan stress test simulation, and many more.
Manufacturing
Many manufacturing companies also use the R programming language to complement their business and marketing strategies. They consider their customer’s feedback to streamline and improve the product. This company uses the information to support market strategies.
Healthcare
The other uses of R in the healthcare field. With the help of this language, anyone can efficiently process data that provide a backdrop to data processing and analysis. The R language is widely used in multiple fields such as drug discovery, genetics, bioinformatics, epidemiology, and many more.
As well, it also checks and predicts the spreading of various diseases.
Conclusion
In this blog, we have discussed the uses of R. We hope that the information given by us in this blog will be useful for you.
In summary, we can say that earlier this language was used for academics and research work. But now it is used for many industrial purposes like healthcare, banking, IT sector, e-commerce, and many more.
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