Welcome to the R Programming repository! 🎯

This repository is dedicated to my learning journey with R, one of the most powerful languages for data analysis, statistics, and data visualization. Here, you’ll find scripts, projects, and exercises that I create while exploring R programming concepts and techniques.

Repository Structure

The repository may include:

• Basics – Fundamental concepts like variables, data types, operators, and functions.
• Data Manipulation – Using packages like dplyr and tidyr for handling datasets.
• Data Visualization – Creating plots with ggplot2 and other visualization tools.
• Statistical Analysis – Implementing statistical methods, tests, and models.
• Projects – Practical projects demonstrating R applications in real-world scenarios.
• Resources – Notes, cheat sheets, and useful links for learning R.

Getting Started

To run the scripts in this repository:

1. Install R from CRAN.

2. (Optional) Install RStudio for a better development environment: RStudio.

3. Clone the repository:

   git clone https://github.com/<your-username>/r-programming.git

4. Open R or RStudio and start exploring the scripts.

Learning Goals

Through this repository, I aim to:

• Build a strong foundation in R programming.
• Learn to manipulate, analyze, and visualize data efficiently.
• Apply statistical methods to real-world datasets.
• Create reproducible R projects and reports.

Contributions

This repository is primarily for personal learning. However, suggestions, tips, or improvements are always welcome through issues or pull requests.

License

This repository is open for learning purposes. Feel free to use the code for educational purposes.