History of R Programming
R has a 20- to 30-year history. The R Development Core Team is presently working on R, which was created by Ross Lhaka and Robert Gentleman at the University of Auckland in New Zealand. The names of both developers inspired the name of this programming language. In 1992, the first proposal was proposed. In 1995, the first version was released, followed by a stable beta version in 2000.
Importance Of R Programming
R Programming is one of the tools that has recently gained a lot of popularity and a large number of users as a result of its open-source and easy accessibility. Due to “ the specialized skill set and ability to turn data into development and success, the employees have been hired by a variety of firms in many areas. SAS Programming, R Programming, Hadoop, Python, and other data analytics tools are commonly used IEEE ranks R as the ninth-best programming language (http://spectrum.ieee.org/static/interactive-the-top-programming-languages). It has a large and stable community and is steadily gaining in popularity.
For Getting a carrier in MBA Finance and Business Analytics Specialization. Students as to learn statistical calculations and high-resolution visuals. Thus, it is a popular language for data analysis among mathematicians, statisticians, data miners, and scientists.
We all know that programming languages like Python have a simple syntax and a lot of flexibility. Nonetheless, data analysts prefer R. The reason for this is that R was created with statisticians in mind. As a result, R has field-specific advantages, such as excellent data visualization capabilities. R is used in the operations of a huge number of important corporations. Google not only utilizes R but also built the language's standards, which have gained widespread adoption.
R is expected to remain an indispensable resource for data scientists for a very long time. The wide range of predefined packages and libraries for the statistical analyses will keep R at the top. The introduction of platforms such as Shiny has already resulted in increased popularity of R, even among the non-specialists.
Characteristics of R Programming
- R is a well-developed, simple, and powerful programming language that supports conditionals, loops, user-defined recursive functions, and input and output.
- R features a powerful data handling and storing system.
- R comes with a set of operators for working with arrays, lists, vectors, and matrices.
- R has a broad, well-coordinated, and well-integrated set of tools for data analysis.
- R provides graphical tools for data analysis and visualization, which can be done immediately on the computer or printed on paper.
Application of R Programming
Several applications are available in real-time. Some of the popular applications are as follows:
Conclusion
The statistical programming language R is the most extensively used in the world. It's the go-to tool for data scientists, and it's backed up by a thriving and brilliant community of contributors. R is used in mission-critical corporate applications and is taught in universities.
See Also:
- Difference between Data Mining and Data Warehousing | MBA course in Bangalore
- Demystifying Digital Transformation path and DT Interactions | NAAC Accredited MBA college in Bangalore
- Employee Resistance to Organizational Change | Top b schools in Bangalore for MBA
- Influence of Blockchain Technology on Education Sector | MBA in Bangalore
- Impact of Inflation on Business and Society | Top Ranked MBA college in Bangalore
- Understanding Web Publishing and security issues of E-commerce | MBA finance in Bangalore
