Rによるデータサイエンス

The book "Rによるデータサイエンス" (R-based Data Science) by 金明哲 (Kim Myeong-cheol) is an introductory guide to data analysis using the R programming language. Here is a comprehensive overview of the book:

Key Themes

1. Introduction to R: The book starts with the basics of the R language, covering data input/output, data manipulation, and basic statistical operations.
2. Data Mining and Visualization: It delves into data mining techniques and how to visualize data using R, including various plots and charts.
3. Advanced Topics: The book covers more advanced topics such as factor analysis, network analysis, and deep learning, making it suitable for users who want to explore these methods.
4. Practical Applications: The author emphasizes practical applications, providing hands-on examples to help readers understand how to apply these techniques in real-world scenarios.

Plot Summary

The book is structured into several sections:

• Part 1: R and Data Mining Basics - This part covers the fundamentals of R, including data input/output, data editing, and basic statistical operations.
• Part 2: Data Analysis with R - This section focuses on more advanced data analysis techniques using R, including visualization and deeper statistical methods.
• Part 3: Specialized Topics - This part explores specialized topics like factor analysis, network analysis, and deep learning, which are increasingly supported by R packages.

Critical Reception

The book has received positive reviews due to its comprehensive coverage and practical approach:

• Long Seller: It has been a long seller since its initial release, gaining support from many R users due to its high level of comprehensiveness and practicality.
• Updated Edition: The second edition includes updates to handle the latest versions of R and adds explanations of new packages, especially those related to deep learning and network analysis.

Overall, "Rによるデータサイエンス" is a well-regarded resource for both beginners and experienced users looking to deepen their understanding of data science with R. Its practical approach and comprehensive coverage make it an essential book for anyone interested in data analysis using the R language.