Statistical Software: R introduces the R programming language as a powerful open-source environment for statistical computing, data analysis, and visualization. The project covers the history, features, advantages, installation of R and RStudio, basic syntax, data types, and operators. It demonstrates practical applications through hands-on examples involving data manipulation, descriptive statistics, measures of central tendency and dispersion, hypothesis testing, correlation analysis, sorting, and graphical visualizations such as histograms, boxplots, scatter plots, and pie charts. Designed for students and researchers, it provides a comprehensive foundation for learning R and applying statistical techniques to real-world datasets effectively.
A. K. Hazra (Sun,) studied this question.