WHAT IS R AND ADVANTAGES OF R?
WHAT IS R?
R programming language was developed by Robert Gentleman and Ross Ihaka in the year 1993. R programming language has libraries that are suitable for statistical and analytical programming. The libraries of R language are written in the R programming language itself. Those libraries which would be used for heavy and complex computational tasks are written in Fortran, C and C++ programming languages. R programming language has appropriate libraries such that it can be used for linear regression, statistical inference, machine learning, time series, etc.
However, not all people may have heard about the R programming language. At present, the R language is being used by many big organizations. For example; Uber, Airbnb, Google, Facebook, etc.
WHY DATA SCIENCE USES R?
Data science is one of the trending technologies of the market at present. This technology mostly works on Python as well as on the R programming language. This is so because both these languages are capable of processing statistical and analytical data easily. In data science technology, the data is mainly stored in the statistical or we can say visual form. The data is processed in this form only. That is why these languages are used.
In the R programming language, data analysis is done in the following manner-->
Program
Transform
Discover
Model
Communicate
Mainly, the R programming language is used for the following three tasks-->
Algorithms for machine learning
Statistical inference
Data analysis
WHERE R IS BEING USED?
R programming language is being used in almost all areas of the industry. According to a survey, the use of R programming language domain wise is listed below in decreasing order-->
Academic
Healthcare
Government
Consulting
Insurance
Energy
Finance
Retail
Media
Manufacturing
Tech
Electronics
ADVANTAGES OF THE R LANGUAGE
Here are some advantages of the R programming language. They are listed below-->
R is an open-source programming language. This means that anyone can change the code of the R programming language. The code of the R language is openly shared with everyone.
R language has appropriate libraries like readr, dplyr, etc. which can be used for transforming the complex data into a well-organized structured form.
The R language has a huge number of libraries. It has more than ten thousand packages.
The R language provides facilities for graphical plotting in high quality. Libraries used here are plotly, ggplot2, etc.
R programming language is a platform-independent language. This means the code of the R language can be run on any system. It would run on all the operating systems.
R language provides many facilities for making algorithms of machine learning. For example, regression, classification, etc. Along with this, the R language also supports artificial neural networks.
DISADVANTAGES OF THE R LANGUAGE
Here are some disadvantages of the R programming language. They are listed below-->
The origin of the R programming language is the S language. This means that the R language does not support 3D graphics.
Basic security of the R language is quite less.
CONCLUSION
R language is being used everywhere in the industry. Students should learn the R programming language while getting Data science training.