Why Should You Learn R Programming?

By Author: Billy Peterson
Total Articles: 5
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The question that any R aspirant has before beginning to study R programming is, "Why Learn R?" What are some of the benefits of learning R for Data Science? All of these questions will be addressed in this tutorial. And, after you've finished this lesson, I assure you won't be confused about the importance of R programming. So, let's get this party started.

In the realm of data science, R is the most widely used language. It is often used to analyze both structured and unstructured data. R has become the standard language for performing statistical procedures as a result of this. R has a number of features that distinguish it from other Data Science languages. We'll explain why you should learn R and how it can help you in the field of data science in this article.

Why should you learn R programming?
There are many reasons to learn R; we've compiled a list of the most important ones that will undoubtedly answer your query about why you should learn R.

R is important for Data Science
R is very significant in Data Science, and you will benefit from knowing how to do the following operations in ...
... R.

Because R is an interpreted language, you can run your code without using a compiler. As a result, we can run code without using a compiler. R interprets the code and makes it easy to write it.

Because R is a vector programming language, anyone can add functions to a single Vector without having to use a loop. As a result, R is more powerful and faster than other programming languages.

R is a statistical language that is used in biology, genetics, and statistics. R is a versatile programming language that can handle a wide range of tasks.

R is Good for Business
R will not only assist you in technical areas, but it will also assist you with your business.

The main reason for this is that R is open-source, which means it can be modified and redistributed as needed by the user. It's amazing for visualisation and has a lot more features than other programmes.

The scarcity of Data Scientists is a major challenge for data-driven businesses. R programming is becoming more popular as a key platform for businesses, and R programmers are in high demand.

R opens the door to a lucrative career.
The R programming language is widely used in data science. Some of the highest-paying jobs in the world are available in this industry. On average, data scientists who are fluent in R earn more than $117,000 (Rs 80,56,093) a year. If you want to work in Data Science and make a good living, you need to learn R.

Open-source
R is a free and open-source programming language. R is free to use and is maintained by a community of active users. In R, you can alter many functions and create your own packages. R's use is unrestricted because it is released under the GNU General Public License.

Popularity

R has quickly risen to become one of the most widely used programming languages in the industry. R was traditionally only used in academia, but with the rise of Data Science, the need for R in the business world became clear. For social network analysis, Facebook uses R. It's utilized by Twitter for both semantic analysis and visuals.

Visualization Library with a Strong Base
R has libraries such as ggplot2 and plotly, which provide users with attractive graphical charts. R is most known for its striking visuals, which offers it a competitive advantage over other Data Science computer languages.

You can create great Web-Apps with R.

R allows you to create visually appealing web applications. You can create interactive dashboards right from the console of your RIDE using the R Shiny package. You may incorporate your visualizations and use attractive visuals to enhance the storytelling of your data analysis.

R has a sizable community of supporters.
R is backed by a large community that updates and maintains it. If you run into any problems with your R code, you can seek help from the community on sites like Stack Overflow (of course, you can always ask us questions in the comments section below; DataFlair is always available!). Bootcamps and R meetings are organized by a number of communities throughout the world.

For Statistics and Data Science, this is the language to use.

R is the most widely used statistical and data science programming language. R was created by statisticians for statisticians. Even before the term "Data Science" was coined, it was in use. R is more familiar to statisticians and data scientists than any other programming language. R's thousands of packages make it easy to perform numerous statistical procedures.

If you need any R Programming programming help, online tutoring platforms can help you.

Summary
Today, data science is the most widely used technology on the planet. R is the lingua franca of this area, as it is primarily made of statistics. We talked over the different reasons why learning R is the best way to master Data Science. Finally, we conclude that mastering R will provide you with numerous advantages, including the ability to cope with massive amounts of data.