Why Choose R?
Reasons to Choose R are as follows:
- Statistical Prowess: R is specifically designed for statistical computing and analysis. It offers a vast collection of built-in functions and packages specifically tailored for statistical tasks, making it highly efficient for this domain.
- Data Visualization Master: R excels at creating high-quality and customizable data visualizations. The ggplot2 library, in particular, is renowned for its flexibility and ability to produce publication-ready graphics.
- Academic Focus: R is widely used in academia and research due to its strength in statistical analysis. This makes it a popular choice for researchers and statisticians who need to analyze and visualize complex data.
- Free and Open-source: Like Python, R is free to use and modify, making it accessible to everyone. There are no licensing costs involved.
- Active Community: R also boasts a large and active community of users and developers. You’ll find resources, tutorials, and forums to help you with your R endeavors.
R vs Python: Which is Easier to Learn
Choosing between R and Python for ease of learning depends on your background and what you aim to achieve with the programming language. Both languages have their unique advantages and are preferred for different reasons in the data science community.