R for Data Science

"R for Data Science" refers to the use of R, a powerful programming language, to analyze and visualize data. It helps statisticians and researchers perform complex data analyses, create graphics, and derive insights from data sets. The goal is to make data actionable and understandable, enabling informed decision-making. This approach involves techniques like data cleaning, visualization, and statistical modeling, making it easier to uncover patterns and trends. R is widely used in fields like finance, healthcare, and academia, empowering users to turn raw data into meaningful information.