Today, there are ample programming languages available that are general-purpose. Businesses can use such languages to build different types of applications.

On the other hand, other programming languages are used to perform certain tasks more effectively or make the process of writing the solution simpler. One of these particular programming languages is R.

R is a computer language which is designed by statisticians to calculate data in statistics. Business analysts, data scientists, and others frequently use it as a language for statistical computing and data visualization.

Let’s go through this R programming tutorial to discover what makes it unique.

What Is R Programming?

R is a programming language and software environment for statistical computing, data analysis, and graphics. It is widely used among statisticians, data scientists, and researchers for performing various tasks such as statistical modeling, data visualization, and machine learning.

R is open-source, flexible, and has a large community of users and developers who continuously contribute to its development and maintenance.

Extensions to R like RStudio can be incredibly helpful because the command line interface of R might be challenging for some users who are used to GUI-focused tools like SPSS and SAS.

In addition, R is an open-source tool that is available for free, which can be very appealing to academics whose access to statistical programs is restricted due to their affiliation with different institutions or universities.

Where R Programming Used?

We all know that R programming is used for data visualization and statistical analysis. But this doesn’t mean that the use of R is limited. This programming language covers multiple fields, such as –

1. Data Science & Analytics –R programming is used for statistical analysis, data visualization, and machine learning.
2. Scientific Research –Statistical modelling and simulations in fields such as biology, medicine, and psychology.
3. Business –All the data analysis and decision-making activities in areas such as marketing and finance are done using R programming
4. Education –Teaching statistics and data analysis in universities and schools.
5. Government – Data analysis and public health and social sciences policy-making.
6. Finance –Portfolio optimization, risk management, and financial modelling.
7. Marketing –Customer segmentation, market research, and predictive modelling.

These are some of the major fields where R programming is used to ensure smooth mobile app development or web development. This language has its own set of benefits as mentioned below.

What Are the Benefits of Using R Programming Language?

Even though R programming is one of the most powerful statistical programming languages available, it’s crucial to weigh its advantages and disadvantages before utilizing it. The programming language R offers the following primary benefits:

1. Wide Variety of Libraries

To support and enhance the R programming environment, the big R programming community has created a variety of libraries, and this language has the most comprehensive and beneficial graphical libraries. Additionally, these libraries have a variety of uses that let programmers carry out various activities.

2. Open-Source Environment

R is an open-source language; thus, anyone can use it without purchasing a license or subscribing. Because software developers can use the R programming language without restrictions, it has become popular among them.

It has also attracted a sizable community of professionals, including programmers, who significantly contribute to its environment.

3. Data Wrangling, Scraping, and Cleaning

You can perform web scraping using R programming to gather the most pertinent data for your research. Additionally, it performs data cleansing by enabling you to locate and eliminate/correct inaccurate or corrupt data.

If you need to manipulate data efficiently, you can use the R programming language. Data wrangling entails transforming unprocessed data into various representations.

4. Better Data Analysis

As famous statisticians develop R programming, it has an excellent performance in statistical calculations. This is why R programming comes under the most used programming languages for engineering statistical software and tools.

With the integration of R programming, businesses can get a streamlined data analysis overview which will benefit their business greatly.

5. Support Multiple Platforms

The community for R programming is vast and active. This language consists of members worldwide who work together to help and support each other.

It is one of the major reasons why most of the ideas and technologies for improving R programming emanate from this community.

6. Compatible with Multiple Languages

R programming is interoperable with a wide range of other programming languages, including C++, FORTRAN, C, and more. In addition, other programming languages like .NET, Python, and Java also allow you to control objects directly.

These are the seven major benefits of using an R programming language best suited for mobile app and web development. We hope you are satisfied enough with the perks of using R programming and can consider it for your next project.

Conclusion!

In a nutshell, R programming can be a huge asset in exploring and investigating data the best way. Now, businesses can do anything with R, such as – Elaborate analysis like clustering, correlation, and data reduction. This is the most crucial part; without a good feature engineering and model, the deployment of machine learning will not give meaningful results.

We hope that after reading this article, you have got a clear idea of what is R programming, its benefits, and more; it is your time to implement R in the best way possible.