Common R Packages #
- dplyr: Data manipulation
data %>% filter(age > 25) %>% select(name, age)
- tidyr: Data tidying
- ggplot2: Data visualization
- readr / readxl: Data import
- stringr: String manipulation
- lubridate: Date and time handling
Summary #
R is a powerful tool for statistical analysis and data visualization.
Mastering basic data types, functions, data manipulation, and visualization is essential for beginners.
Using packages and the pipe operator %>% can greatly improve workflow efficiency.
Last modified on 2025-02-25