Beyond the Basics

R is widely used for statistical analysis and data visualization. In addition to its core programming features, R provides many built-in tools for exploring data, fitting statistical models, and performing hypothesis tests. These tools allow you to move from writing code to answering real analytical questions.

R also has a large ecosystem of external packages that extend its capabilities. Packages such as ggplot2 make it easy to create clear and informative visualizations, while built-in statistical functions like lm() and t.test() allow you to quickly analyze relationships in data.

In the next section, you will see how R can be used to perform basic statistical analysis and create visualizations. This section serves as a short introduction to these capabilities and highlights how R can support complete data analysis workflows.