You can handle data on your own even if you don't know anything about statistics or programming!
Includes the entire data analysis project process!

A lecture that allows even beginners who are just starting out with data analysis to handle data on their own has been published as a book.
Even if you know nothing about statistics, programming, or data analysis, you can learn the data analysis techniques that are gaining attention recently using R in a fun way through "Do it! Learn R Data Analysis Easily."
This book allows you to experience the entire process of conducting data analysis projects in the field, from data cleansing, processing, and analysis to graph drawing.

As befitting the Do it! series, it allows you to get started with R through hands-on learning.
R is a great data analysis language that offers a wide range of functionality, from simple to sophisticated and complex.
Although R is already used by many people, it is true that there are some issues that make it difficult for beginners to adapt.
Beginners often worry about where to start studying and how much they should know.
Existing introductory R books, even if they have good content, often run into the problem of being thick because they try to cover a lot of content without leaving anything out.
"Do it! Learn R Data Analysis Easily" showcases the strengths of the Do it! series, which helps beginners overcome the challenges they face.
Rather than teaching everything in a forced manner, this book focuses on helping readers understand the most frequently used key concepts by practicing them themselves.
The author's efforts to explain the book naturally and smoothly using interesting data analysis examples are evident.
I highly recommend this book as it is the perfect first book for anyone who wants to study data analysis.
- Jeon Yong-jun (CEO Consultant, Revision Consulting)

Learn R quickly and easily without any help from others.
After receiving the manuscript for "Do it! Learn R Data Analysis Easily" by Kim Young-woo, I slowly read an R book from cover to cover for the first time in a long time.
This book is written so that anyone, even those who don't major in IT or know nothing about data analysis, can easily read and follow it, and it is written so that even beginners and intermediate users can use it.
Even parts that I would have skipped over if I were writing a book are explained in a friendly and easy-to-understand manner, and the exercises are structured so that you can naturally understand the data analysis process by following them from beginning to end.
In particular, this book organizes and explains the big and small problems the author actually encountered while using R, as well as the problems that anyone who is new to R will experience at least once, so you can learn R easily and quickly without help from others.
It also explains real-world data analysis cases, making it an attractive book for readers who want to learn more in-depth analysis.
If you're new to programming and R, and you have to choose a book to keep by your side, I'd recommend this one without hesitation.
Starting with this book, I look forward to Kim Young-woo's continued publication of R books for intermediate, advanced, and expert users.
- Jin-su Park (CEO of Laonbit Co., Ltd.)

If you're new to R, start with this book!
In this era of data, where data has become so important that it can be called the "age of data," R has grown into a representative tool for data analysis and is enjoying great popularity.
When I started studying R with author Kim Young-woo a few years ago, there weren't many R-related books in Korea.
Although there are many introductory books available now, R still presents a high barrier to entry for beginners.
"Do it! Learn R Data Analysis Easily" is a great book for beginners unfamiliar with statistics and programming, as it guides you step-by-step from installation.
It is particularly valuable as a basic book for social science majors, researchers, and practitioners.
While reading this book, I could feel Kim Young-woo's meticulousness and practical arrangement as the introduction, examples, and applications of functions unfolded in an appropriate flow.
There are books that are suitable for the basics.
This book is well suited to that level.
I believe that many people will be able to take a smooth first step into the world of data analysis through this book.
- Kim Moo-seong (operating member of the data analysis study group [Cygrammer])

Focusing on the most popular packages in R
A book that introduces effective analysis methods!
R is recognized as a very important tool in analytical practice.
It is superior to any other tool, especially in statistical processing and visualization.
Recently, a package has been released that allows you to utilize Python libraries in R, allowing you to freely use the famous TensorFlow in Python.
To use R effectively, it is important to have statistical knowledge as well as to utilize R's various packages appropriately and at the right time.
The author focuses on this area and introduces effective analysis methods centered on the latest and most popular packages.
In addition, it introduces solutions to problems that may arise when using various packages or functions, so that beginners can learn R without any inconvenience.
What I think is both a strength and a weakness of this book is that the explanations are too friendly.
Of course, from the perspective of an experienced person like me, this is a disadvantage, and if the reader starts to see the advantage of being too friendly as a disadvantage as they practice with the book, you can consider that the book has helped you jump to an intermediate level of R or higher.
I hope that through this book, you will quickly learn the basics and become an analyst who can freely utilize R for your own problems.

Heewon Jeon (Data Scientist, SK Telecom)