What is R ?

R is a language made specifically for working with data, especially for statistics and data analysis. It’s popular among data scientists and researchers because it has many tools for handling data and creating visual graphs.

Background

R was created in the 1990s by Ross Ihaka and Robert Gentleman. Since then, it’s become one of the most-used languages for statistical analysis, especially in fields like biology, finance, and marketing.

Main Concepts

Data Manipulation

R has strong features for organizing, cleaning, and analyzing large sets of data.

Visualization

R makes it easy to create visualizations, from basic charts to complex graphics.

Packages

R has many packages (extra tools) created by other users, which extend its power for specialized tasks.

Why Learn R ?

If you want to work in data science or research, R is a great tool for analyzing and visualizing data. Its community offers many resources for beginners.

Note: We aim to make learning easier by sharing top-quality tutorials, but please remember that tutorials may not be 100% accurate, as occasional mistakes can happen. Once you've mastered the language, we highly recommend consulting the official documentation to stay updated with the latest changes. If you spot any errors, please feel free to report them to help us improve.