R programming for Data Science for Absolute Beginners

According to the TIOBE Programming Language Popularity Index, interest in the R programming language has been steadily increasing. The trend may have an explanation in the face of past and future health crises related to COVID, but developers should be aware that this interest can be sustained in the long term. This prompted the creation of this R programming language handbook to statistical data processing.The R Foundation maintains R, a programming language and free software environment for statistical computing and graphics. The R programming language is widely used in the development of statistical software by statisticians and data analysts. Surveys, database and literature research, and other various studies all rely on the R programming language.More universities and research institutes are abandoning commercial statistical languages like SAS and Stata in favor of open source languages like Python and R, and there is a rise in the use of analytics in the scientific community in relation to COVID.The handbook contains practical examples that cover the entire statistical data analysis cycle, including data collection.

Autorentext

Dr. Eng. Todor Balabanov is a researcher with scientific interests in the field of statistical engineering. Together with Dr. Krassimira Stoyanova, they performed experimental design in statistics through R language.