📊 R Programming — Beginners to Advanced

A curated collection of R programs designed for Data Analysis, Statistics, Visualization & Machine Learning.
Learning-by-doing approach — Clean code with comments included ✔️

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🚀 What’s Inside?

Category	Topics Covered
🔹 Basics	Variables, Data Types, Operators, Loops, Conditions
📈 Data Handling	Vectors, Lists, Matrices, Data Frames, Factors
🧮 Statistics	Mean, Median, Mode, SD, Correlation, Probability
📊 Visualization	ggplot2, Bar Plots, Line Charts, Scatter Plots, Heatmaps
🤖 Machine Learning	Regression, Classification, Model Evaluation
📦 Libraries	tidyverse, dplyr, ggplot2, readr, caret etc.

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🧠 Why Learn R?

• ✔ Statistical powerhouse
• ✔ Best for Data Science & Analytics
• ✔ Built-in visualization support
• ✔ Easy to integrate with Excel, Power BI, SQL

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🛠️ Tools & Libraries Used

Tool / Package	Purpose
RStudio	IDE for R
tidyverse	Data manipulation
ggplot2	Visualization
caret	Machine Learning
dplyr, readr	Cleaning & Importing

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📘 How to Run Programs

1️⃣ Install R → https://cran.r-project.org
2️⃣ Install RStudio (Recommended)
3️⃣ Clone this repository: 🤝 Contribute

Contributions are welcome! Make a pull request to improve or add new R programs ✨

🧑‍💻 Author

Ashwin Ananta Panbude Data Analyst | Trainer | Tech Enthusiast

🔗 GitHub: Ashwin18-Offcl

💼 LinkedIn: (https://bit.ly/49pSuZJ)

git clone https://github.com/Ashwin18-Offcl/R-Programs.git