R is a powerful programming language for data science, made even more effective by its extensive library of packages. Ten essential packages include Tidyverse, offering tools like ggplot2 and dplyr for streamlined data manipulation and visualization. Data.table excels at handling large datasets with speed. Ggplot2 creates elegant graphics, while Lubridate simplifies date-time handling. For machine learning, Caret supports model building and tuning. Shiny enables interactive web apps, and Plotly adds interactivity to visualizations. randomForest makes classification and regression accessible. Knitr generates dynamic reports, and Stringr streamlines text manipulation. Together, these packages enhance every stage of data analysis workflows. For more details visit at - https://www.birchwoodu.org/mas....ter-of-science-in-da
