R for Data Science

Davut Ayan

Welcome

This book is a practical guide to R for data-science work. It is designed for structured study, quick reference, and technical interview preparation.

The initial chapters focus on core language concepts and data structures. The book will grow through small, reviewed additions covering functions, iteration, data manipulation, visualization, reproducibility, and modeling workflow.

How to use this book

• Run examples and change small inputs to test your understanding.
• Focus on object types, vectorization, indexing, and missing-value behavior.
• Explain each result in plain language rather than memorizing syntax.
• Review the failure modes and assumptions before using a pattern in real work.

Older assignments and practice exercises are retained as source material but are not automatically part of the published book.