Contents
Introduction to R
What Is R?
R is a free programming language designed for working with data. It helps you clean datasets, perform statistical analysis, and create charts.
R was created by two statisticians, Ross Ihaka and Robert Gentleman, and is supported by a worldwide community.
With R, you write instructions, execute them, and examine the results. You can start with simple commands and gradually learn more advanced techniques. You do not need to be an experienced programmer to begin.
Features of R
R is popular because it is easy to get started with and powerful enough to support complex data analysis.
Its key features include:
- Free and open source: Anyone can use R at no cost.
- Vectorized operations: A single command can perform calculations on an entire vector or column of numbers.
- Extensive packages: Thousands of additional packages provide tools for data manipulation, visualization, and statistical analysis.
- Data visualization: R can create a wide range of charts and graphs.
- Statistical analysis: It includes functions for statistical tests and modeling.
- Active community: Tutorials, documentation, and online discussions help users learn and solve problems.
Real-World Use Cases of R
R is used across different fields to analyze data and support decision-making.
Field | How R Is Used |
Education | Tracking student performance and attendance |
Healthcare | Studying treatment results and medical research data |
Banking | Measuring financial risk |
Marketing | Evaluating campaign performance |
Academic research | Performing statistical analysis and presenting findings |
These examples show how R can turn raw data into useful information. In this guide, you will apply the same principles to student performance data.
R for Data Science
Harini A








