A curated collection of R programs designed for Data Analysis, Statistics, Visualization & Machine Learning.
Learning-by-doing approach — Clean code with comments included ✔️
| 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. |
- ✔ Statistical powerhouse
- ✔ Best for Data Science & Analytics
- ✔ Built-in visualization support
- ✔ Easy to integrate with Excel, Power BI, SQL
| Tool / Package | Purpose |
|---|---|
| RStudio | IDE for R |
| tidyverse | Data manipulation |
| ggplot2 | Visualization |
| caret | Machine Learning |
| dplyr, readr | Cleaning & Importing |
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