Why Use R Programming?

In 1993, Robert Gentleman and Ross Ihaka of the University of Auckland in Auckland, New Zealand, created the programming language and analytics tool known as R. Software developers, statisticians, data scientists, and data miners use it a lot. This is among the most widely used data and business analytics tools. Numerous industries have used it, including healthcare, education, consulting, finance, the media, and many more. The need for certified R-trained workers has increased due to its wide range of applications in statistics, data visualization, and machine learning. In this blog, we have discussed why to use R Programming to know more and join R Programming Training In Chennai, offered by FITA Academy. 

1)R Has Thousands Of Packages

For R, there are over 10,000 packages available, along with an abundance of built-in functions. R users can select statistical modelling, machine learning, imputation, data manipulation, and visualization packages. Specifically, this language is well-known for having more robust data visualization features than other data science programming languages. R users may construct visually appealing and interactive visualizations to illustrate their data discoveries with libraries like ggplot2 and Plotly.

2)For Developing Web Apps

Using the R Shiny package, users of R can generate interactive dashboards straight from the R IDE terminal. Applications for creating interactive web applications with R-based back-end code are also available in Shiny. Shiny can also run independent apps on a web page and embed charts within R Markdown papers. Moreover, JavaScript actions, HTML widgets, and CSS themes can be added to Shiny programs.

3)Major Companies Use R

Some of the biggest firms in the world use R, so mastering it could help you grow in your current position or pursue an entirely different line of work. R is used by industry titans like Meta, Google, Ford, and Twitter for tasks including data visualization, economic forecasting, behavioural research, and semantic grouping. When applying for a data-related job, learning more about R through Noble Desktop’s live online or in-person Data Science Certificate is a terrific way to increase marketability. By the end of the course, you will be an expert in R, thanks to the certificate program’s crucial professional assistance and one-on-one mentoring sessions.

4)Extensive Community Support

You don’t need to learn R on your own. It is now simpler than ever to get help and direction on your R learning path, thanks to resources like the RStudio Community and Noble Desktop, which provide courses like Data Analytics with R Bootcamp. Nearly 47K people have posted over 50K times in the RStudio Community. This vibrant community of statisticians and data scientists can help with various coding-related inquiries regarding package building, R Markdown, Shiny, and RStudio.

Thus, some of the reasons why we use R programming are R has thousands of packages, For developing web apps, Major companies use R and Extensive community support. Thus, learn more about R Programming by joining R Programming Online Training to learn at your own pace.