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- Title
Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis.
- Authors
Shalabh
- Abstract
The article discusses a book titled "Applied Univariate, Bivariate, and Multivariate Statistics Using Python: A Beginner's Guide to Advanced Data Analysis." The book aims to explain and emphasize the practical applications of statistics rather than focusing on theory. It covers a wide range of topics in 12 chapters, providing data-based examples and Python implementations. The book is intended for experienced teachers and applied statisticians who want to learn how to apply statistical concepts using Python. The author's extensive experience is evident in the clear explanations and discussions of the pros and cons of interpretations. The book also includes conceptual and computational problems for each chapter, making it suitable for use in applied statistics courses.
- Subjects
PYTHONS; MULTIVARIATE analysis; DATA analysis; STATISTICS; BIVARIATE analysis
- Publication
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2024, Vol 187, Issue 2, p548
- ISSN
0964-1998
- Publication type
Article
- DOI
10.1093/jrsssa/qnad122