R is always considered an important language for data science implementation. The functions and libraries in R include content contributed by academics and statistician. It is widely regarded to be as good as SAS, STATA, and SPSS. As per the survey conducted in IEEE in the year 2015, R has gained popularity among the top ten languages.
R is known for its diversity with task implementation in domains such as finance, statistics, and real estate. The user implementing R will definitely be able to see a diverse set of examples and applications on a daily basis, which helps in achieving accurate solutions.
