R PROGRAMMING

 About R PROGRAMMING




R is a programming language used for statistical analysis, data manipulation, and visualization. It’s popular in data science for its powerful packages, such as dplyr for data wrangling and ggplot2 for visualization. R has a large package ecosystem, making it highly versatile for data analysis. With R Markdown, it also supports reproducible research and report generation.











Comments

Post a Comment

Popular posts from this blog

PYTHON

Image
ABOUT PYTHON Python is a high-level, interpreted programming language known for its readability and simplicity. Created by Guido van Rossum and first released in 1991, Python's design emphasizes code readability with its use of significant whitespace, which allows for a clean and visually uncluttered code structure. Key features of Python include: Versatility: Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Extensive Libraries: Python has a vast standard library, as well as a rich ecosystem of third-party libraries for everything from web development (Django, Flask) to data science (NumPy, Pandas) and machine learning (TensorFlow, PyTorch). Cross-Platform Compatibility: Python code can run on various operating systems, including Windows, macOS, and Linux, which makes it highly portable. Beginner-Friendly: Due to its simplicity and readability, Python is widely recommended as a first language for new programmers. Pyt...
Read more

. NET

Image
 . Net Features Sure! Here’s a quick rundown of .NET’s key features: Cross-Platform: Runs on Windows, macOS, and Linux. Unified Runtime: Provides consistent libraries and runtime for multiple languages (C#, F#, VB.NET). High Performance: Optimized JIT compiler for fast, efficient applications. Extensive Libraries: Rich framework libraries for diverse application needs (e.g., web, desktop, cloud). Multi-Language Support: Use C#, F#, and VB.NET interchangeably within the platform. These features make .NET versatile for building everything from web and desktop apps to IoT and cloud services. JAVA
Read more