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R is a powerful and widely-used programming language for statistical computing, data analysis, and visualization, making it a favorite among data scientists, statisticians, and researchers. It offers an extensive collection of packages, built-in functions, and a simple syntax that makes it beginner-friendly.
This guide provides R programming source codes along with step-by-step tutorials covering essential concepts such as variables, data structures (vectors, matrices, lists, and data frames), loops, conditional statements, and functions. You will also learn how to work with data manipulation techniques using dplyr, create stunning visualizations with ggplot2, and perform statistical analysis, machine learning, and predictive modeling in R.
With hands-on coding examples and practical exercises, you will learn how to manipulate data, create insightful graphs, and perform statistical operations efficiently.