R Language Interview Questions

The post is about R Language Interview Questions. It contains some basic questions that are usually asked in job interviews and examinations vivas.

What is R Programming?

R is a statistical and mathematical programming language and environment for statistical computing and plotting of graphics. It is similar to the S programming language which was developed by Bell Laboratories.

R Can be considered as a different implementation of S language, however, there are some important differences but much of the code can be written for S runs unaltered under R Language.

R is a powerful and versatile programming language that has gained immense popularity in the field of data science.

What Operating Systems Can R Support?

R Language is available as Free Software under the terms of the Free Software Foundation’s GNU General Public License in source code form. It compiles and runs on a wide variety of UNIX platforms and similar systems (including Linux and FreeBSD), and MacOS, Windows.

What are the Advantages of the R Language?

R is open-source Free software. Hence anyone can use and change it.
R is cross-platform which runs on many operating systems and different hardware. It can also run on 32-bit & 64-bit processors.
R is good for GNU/Linux and Microsoft Windows.
In R, anyone is welcome to provide bug fixes, code enhancements, and new packages.
It is used for managing and manipulating data.
The R Language is the most comprehensive statistical analysis package as new technology and ideas often appear first in R.
R Language provides a wide variety of statistical tools (summary statistics, classical statistical tests, linear and nonlinear modeling, time-series analysis, classification, clustering, etc.), enhanced graphical techniques, and is highly extensible.
The graphical capabilities of the R Language are good.
One of R’s strengths is the ease with which enhanced publication-quality plots/graphs can be produced that may include mathematical symbols and formulae where needed.

What are the Disadvantages of R?

In R language, the quality of some packages is less than perfect.
In R, no one to complain, if something does not work.
R is an application software that many people devote their own time to developing.
R commands give little thought to memory management, and so R can consume all available memory.

Why R Language?

It is free and open source.
Provides a variety of statistical tools for data analysis.
Have strong and well-defined graphical capabilities.
Runs on different operating systems and hardware.
Powerful capabilities related to data, Data management, and manipulation.
Thousands of free R packages developed by experts.
Free updates of R software and packages.

What does not R Language do?

Though R is a programming language and it can easily connect to DBMS it is not database software.
R does not consist of a user-friendly graphical user interface (GUI).
Though it connects to Excel/Microsoft Office easily, R language does not provide a simple to advanced spreadsheet view of data.

Explain the R Environment

R is an integrated suite of software facilities for data manipulation, calculation, and graphical display. It includes:

An effective data manipulation/handling and storage facility,
A suite of operators for calculations on arrays, in particular vectors and matrices,
A large, coherent, integrated collection of intermediate tools for data analysis,
Graphical facilities for data analysis and display either on-screen or on hardcopy.
A well-developed, simple, and effective programming language that includes conditionals, loops, user-defined recursive functions, input and output facilities, and file handling.

What are the uses of R Language?

Uses of R Language are

Data Science: R is widely used in data science for tasks such as data cleaning, exploratory data analysis, statistical modeling, and machine learning.
Academic Research: R language is a popular choice for researchers in various fields, such as statistics, economics, biology, and social sciences.
Business Analytics: R language can be used to analyze business data, identify trends, and make informed decisions.
Finance: R is used in finance for risk management, portfolio analysis, and quantitative trading.

statistics for data science and business analysis

R Language Interview Questions