R Programming Language

ØWhat is R Programming Language?

R is currently one of the most requested programming languages in the Data Science job market which makes it the hottest trend nowadays.

It’s a platform-independent language. This means it can be applied to all operating systems.

R programming language is not only a statistic package but also allows us to integrate with other languages (C, C++). Thus, you can easily interact with many data sources and statistical packages.

It’s an open-source free language. That means anyone can install it in any organization without purchasing a license.

The R programming language has a vast community of users and it’s growing day by day.

ØWhy Use R?
Open Source: R is an open – source software, which means it is freely available to anyone. It can be accessible by a vibrant community of users and developers.

Statistical Analysis: R is designed for analysis and It provides an extensive collection of graphical and statistical techniques, By making a preferred choice for statisticians and data analysts.

Data Manipulation: R offers tools that are for data manipulation and transformation. For example: IT simplifies the process of filtering, summarizing and transforming data.

Community and Packages: R has a vast ecosystem of packages that extends its functionality. There are packages that can help you accomplish needs of analytics.

Integration: R can be easily integrated with other programming languages and data sources. IT has connectors to various databases and can be used in conjunction with python, SQL and other tools.

In the next part, we will explore the advantages and disadvantages of the R programming language. Additionally, we will create a simple program.