Case Studies in R

Preface

This case study collection is meant to show how problems can be approached and solved using realistic case studies in R. The focus is on understanding the reasoning behind each step, rather than just the technical details. For those who enjoy following the process in R, the code is provided throughout. At the same time, it is not necessary to run the code to grasp the main ideas—the output and results are always presented, so anyone can follow the logic without touching R at all.

Brief descriptions of data science methods may appear here and there, along with more detailed explanations about the content of each problem, helping to clarify the context and the approach taken.

The aim is simple: to see how methods are applied in practice, how decisions are made, and how results are interpreted. Each example is drawn from scenarios that could realistically appear in data analysis work, making the learning experience concrete and relatable.

This is a guide to thinking through problems, exploring solutions, and connecting the tools of R to real-world questions.