Interesting Facts about R
Now, let us discuss some interesting facts about the R programming language.
History Of R
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Ross Ihaka and Robert Gentleman developed the R language while being associated with the University of Auckland.
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Since the first letter of the developers' names is R, it was named so. It first appeared in August 1993.
- It is written in Fortran, C, and R. It is an implementation of S language.
Language Characteristics
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The R programming language supports both procedural and object-oriented programming.
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Procedural programming consists of different procedures, modules, etc. At the same time, Object-Oriented programming includes classes, objects, etc.
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It is an interpreted language rather than a compiled language. Thus, running an R-script is less time-consuming.
- It is compatible with other programming languages like C, C++, Java, Python, etc.
Open Source Language
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R is an open-source programming language. You can add or modify packages according to your requirements. Also, it has a vast community behind it.
- Also, the R language is platform-independent. You can use it on any operating system like Windows, Mac OS, or Unix-based systems.
Vast Number of Packages
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It has a lot of libraries, extensions, and packages for data analysis.
- Through GitHub or CRAN, the number of packages is 1,00,000. These packages help developers do their work quickly.
Popularity
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After SQL, R is the most popular and most used language in data science. It is ahead of any other data science language in terms of growth.
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70% of data miners worldwide use the R programming language.
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Finance, social media, healthcare, IT industries, etc., all use R programming language for their respective uses.
- Famous top-tier companies like Google, Facebook, Amazon, Netflix, Airbnb, Twitter, Microsoft, etc, use the R programming language.
Easy Database Connections
Using the dbplyr package, you can connect it to almost any database easily. This feature makes it work independently of pulling and pushing data from the databases.
Development with R
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Building and hosting web pages can be done easily with R.
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With the use of flexdashboard package, you can make web applications quickly. Also, using the rsconnect package, you can host your web pages on either your own or a cloud server.
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With the development of web pages, you can also make them into video games using R. Using nessy package, you can create Shiny applications.
- You can also create APIs using R. Also, you can link them with applications after making them, using the R packages like plumber.
Powerful Graphics
R has various libraries for providing quality data visualizations for its users. From bar graphs to interactive flow diagrams, it provides it all.
Machine Learning
R can be utilized for serving machine learning purposes as well. It can help users build machine-learning models and implement machine-learning algorithms.
Data Wrangling
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It helps the users to clean the complex and unstructured data into structured forms.
- It helps in the further processes of computations and analysis.
Frequently Asked Questions
What is R programming language?
The R programming language allows you to analyze data, machine learning, data science models, etc. It helps you create and modify packages, functions, etc. It is an open-source programming language. It is in high demand nowadays.
Why should one use R language for data analysis?
It offers many extensions for data analysis. It provides more than 10,000(and still increasing in number) packages. It is also used for quantitative analysis since it can import and clean data.
What are some key features of the R programming language?
It is an open-source programming language compatible with other languages. It is independent of the platform it is being used on. It offers several packages for data analysis. It is also used for machine learning algorithms, data science, etc.
Why is R programming language called R?
It is called R since 'R' is derived from the first letter of the names of its developers. The names are Ross Ihaka and Robert Gentleman.
Where is R used in real life?
The R programming language is used in real life in data science, machine learning, and artificial intelligence. It can do simple and complex computations. It can also visualize the data correctly.
Conclusion
We hope this article helped develop your interest in the R programming language. If you want to learn more about this language, do read the following articles:-
To learn more about DSA, competitive coding, and many more knowledgeable topics, please look into the guided paths on Coding Ninjas Studio. Also, you can enroll in our courses and check out the mock test and problems available. Please check out our interview experiences and interview bundle for placement preparations.
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