Open Source : R is free to use, open source, meaning that you can readily revise the code and share with others.
Extremely Powerful Statistical Capabilities: R was built with statistical computing in mind; therefore, it is still one of the most advanced languages to perform complex statistical analyses.
Huge Package Ecosystem: The CRAN repository offers a repository of thousands of packages that extend R's functionality to particular tasks or industries, such as bioinformatics or finance, or text mining.
Data Visualization: The data visualization capabilities of R are quite potent, especially with libraries like ggplot2. It just so happens to be a great choice for creating publication-quality visualizations.
Community and Support: R has an active and supportive user community. With extensive documentation, forums, and educational resources, it is easy to find help and learn from others.
Extremely Powerful Statistical Capabilities: R was built with statistical computing in mind; therefore, it is still one of the most advanced languages to perform complex statistical analyses.
Huge Package Ecosystem: The CRAN repository offers a repository of thousands of packages that extend R's functionality to particular tasks or industries, such as bioinformatics or finance, or text mining.
Data Visualization: The data visualization capabilities of R are quite potent, especially with libraries like ggplot2. It just so happens to be a great choice for creating publication-quality visualizations.
Community and Support: R has an active and supportive user community. With extensive documentation, forums, and educational resources, it is easy to find help and learn from others.