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Experts Guide To Understanding R In Data Science
R is one among the most popular programming languages especially in the world of Data Analysis and Data Science. The R Foundation describes R as “a language and environment for statistical computing and graphics but in reality R is much more beyond these.
The foundation for R programming was laid by Ross Ihaka and Robert Gentleman at the University of Auckland. In its early days, R programming is majorly used as a statistical platform for their students, open-source R has been extended over the decades by thousands of user-created libraries.
R In The Present Time-
As mentioned earlier, R possesses an extensive catalog of statistical and graphical methods. With several advancements throughout the history of R it now holds advanced Machine Learning algorithms, Linear Regression, Time Series, Statistical Inference and many more.
Most of the R libraries are written in R, but however in the cases where heavy computational tasks are involved, C, C++ & Fortran codes are preferred.
Data Analysis With R-
R programming is extensively being used in the process of data analysis. Data scientists or analysts & anyone who needs to make sense of data can make use of R for statistical analysis, data visualization, and predictive modeling.
Performing Data Analysis with R involves a series of steps like programming, transforming, discovering, modeling and communicate the results
- Program-
R is a clear and accessible programming tool
- Transform
R has a collection of libraries which are specially designed for data science
- Discover
To precisely investigate the data, refine your hypothesis and analyze them
- Model
To help you capture the right model for your data R has the presence of a wide variety of tools
Communicate-
Can integrate codes, graphs, and outputs & communicate the results to the world.
In addition to R, Pythons is also one among the most extensively used programming language for Python. Interested in building your career as a Data Scientist by mastering R & Python? Then be a part of the Kelly Technologies leading analytics based learning program of Data Science Training In Hyderabad.