Introduction
To begin with, R refers to the language and environment for statistical computing and graphics. It is widely used as statistical software and data analysis tool as it is capable of analyzing both structured and unstructured data.
Features of R Programming
R provides an open-source software environment and can adjust and adapt as per the user's requirements. It is available free of cost and anyone can download it and start practicing it. It comes with various strong graphical capabilities that make data visualization and data representation very easy for users. In addition, it provides more than 10,000 different packages and extensions to sort all problems in data science. R can easily perform simple and complex mathematical and statistical calculations on data objects of a wide variety.
It facilitates distributed computing which results in reducing processing time and increasing efficiency. Furthermore, it is capable of running code without a compiler and it directly interprets provided code into lower-level calls and pre-compiled code. R can even interact with various databases like Oracle, Open Database Connectivity Protocol, MySQL, etc. Apart from these, given below are some of the features of R.
Report Generation
It comes with a markdown package that allows you to generate reposts in any format. It is useful in producing web pages and allows you to even generate reports in the form of word documents or PowerPoint presentations.
Highly Compatible
R is capable of pairing with various other data processing technologies like Hadoop and Spark. Combining Hadoop allows you to distribute computing capabilities with R’s statistical computing power.
Vector Arithmetic
They are a basic structure in R and they are useful in deriving various other structures. Using vectors and vector arithmetic reduces the need for looping to process a large set of values.
Data Wrangling
It cleans complex data to facilitate convenient computation and further analysis. R comes with an extensive tool library useful for database manipulation and wrangling.
Benefits of Using R
R is a platform-independent cross-platform programming language that can run easily on Windows, Linux, and Mac. It is highly compatible and can be paired with many other programming languages like C, C++, Java, and Python. It ensures quality plotting and graphing and can create aesthetic and visually appealing graphs. R facilitates easy reporting and allows users to make reports with the data, plots, and R scripts embedded in them. To further know about it, one can visit R Programming Online Training in India. Apart from these, given below are some of the benefits of using R.
Machine Learning Operations
It comes with various features useful for ML operations like classification and regression.
Statistics
This is the language of statistics and it dominates other languages in terms of developing statistical tools.
Continuously Growing
It is a continuously growing language that provides regular updates whenever any new feature is added.
Vast Community Support
R has a large user base and a continuously growing environment that supports its open-source library.
Career Opportunities in R
This is an era of big data and companies generate billions of bytes of data per day. This data is raw and it requires tools for analyzing it and providing meaningful insights. R is capable of analyzing this raw and unstructured data and providing meaningful insights into it. It is an ideal language for statistical computing and is excellent for developing data visualization tools. Therefore, many organizations use it for analyzing data and developing statistical tools. Furthermore, due to its cross-platform compatibility, and outstanding graphical output features, it has become the first choice for the data science and analytics industry. Many institutes provide R Programming Training in Noida and one can enroll in them to start a career in it. Given below are some of the career opportunities you can explore after learning this language.
· Data Scientist
· Data Architect
· Geo Statisticians
· R programmer
· Quantitative Analysis with R
· Data Visualization Analyst
· Data Analyst
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What is R language and R language courseR is a programing language developed by Ross Ihaka and Robert Gentleman in 1993.
R possesses an intensive catalog of statistical and graphical ways.
It includes machine learning algorithmic rule, rectilinear regression, statistic, applied mathematics reasoning to call many.
Most of the R libraries area unit written in R, except for serious procedure task, C, C++ and fortran codes area unit preferred.R is not only entrusted by academic, but many large companies also use R programming language, including Uber, Google, Airbnb, Facebook and so on.Where is R language used?R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.
The R language is widely used among statisticians and data miners for developing statistical software and data analysis.One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.
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