Data manipulation is a crucial step in data analysis, and R offers powerful packages like dplyr and tidyverse to simplify this process. These packages provide intuitive functions for filtering, transforming, and summarizing data efficiently.
Data import and export in R are essential for data analysis, allowing you to work with data from various sources and save your results. R supports importing and exporting different file formats, such as CSV, Excel, and text files, using both built-in functions and packages.
R is a programming language used for statistical analysis, data visualization, and data science. It’s known for its powerful data manipulation capabilities, extensive libraries, and active community, making it ideal for handling complex data and creating visual reports.