A Quick Guide to R Programming Language for Business Analytics

Today, a modern business does a lot more with its data than in the past. There is, in fact, a revolution that is taking place regarding what can be done with information today. The R programming language is designed for and used by statisticians, and it is also the ideal tool for computing statistical information and creating top-notch graphics. This is why so many mathematicians and statisticians, as well as ad data miners and scientists, use this language. Ross Ihaka and Robert Gentleman originally wrote the program. The R Development Core Team has since developed it. Here is what it can do.

First of all, it stores and also handles information in a very efficient manner by making use of different numerical as well as textual operators to calculate arrays and matrices of information. Secondly, it comes with many tools that analyze data that much more straightforward and useful. Thirdly, it comes with graphical services that aid in doing better analysis of information. Fourthly, the R programming language is made up of excellent programming techniques, and it has functions and loops as well as conditionals that are very nicely developed and easy to use. Lastly, it is also able to provide the best documentation abilities both for hard copies and also for soft copies. This is what gives the language so much extensibility through its various functions and extensions. The result is that developers can add to their existing capabilities.

The language has been designed to help people analyze data. It comes with several algorithms for retrieving data, processing it, and interpreting it as well as providing topnotch graphics. It comes with inbuilt statistical methods like:

• Mean
• Median
• Distributions
• Covariance
• Regression
• Non-linear mixed-effects
• GLM
• GAM, and a lot more

The other beautiful thing about this language is that it is object-oriented. This makes the language very proficient in developing complete object-oriented programs. It is also a language that allows the programmer to do some wonderful branching and looping as well as modular programming. It comes loaded with various statistical procedures like the following:

• Time series analysis
• Classic parametric tests
• Non-parametric tests
• Linear modeling
• Non-linear regression modeling
• Clustering
• Smoothing, and much, much more

The nice thing about using R for business analytics is that it is a language that helps you create some wonderfully topnotch graphics. Best of all, it also provides features like advanced analytics. Its packages like CRAN and Task Views are handy as well.

At present, about two million people across the world are using this language, and the numbers are steadily growing. R is more than a programming language. It is also a culture among the world’s best programmers. There are many new websites and forums as well as articles that you can find on the Internet that deal with the R programming language.

The bottom line is that the R programming language has been helping researchers, as well as to statisticians, perform the most innovative analyses of data without needing to be computer programmers. Today, R is one of the main programming languages being used for various applications to help organizations across multiple industries. R packages make it easy for businesses to do sophisticated analyses. All that the business needs to do is download and install specially created packages that are written by the best minds in the world. R also comes with the best graphics capabilities, and this is what makes the language so attractive to users. The graphics can be created in the R language without needing to do extensive programming. R allows you to create graphics exactly as you want, and you can also present the information visually in a very appealing manner.

Are you looking for an R training provider? Simplilearn offers Data Science with R programming certification to help you build a solid foundation in this language.