Focusing on visualization and imputation techniques for missing values, this book provides practical applications using R. It covers various imputation methods, emphasizing visualization and data problem descriptions. The text delves into modern approaches, including robust imputation and deep learning, while outlining the advantages and disadvantages of each method. By clarifying the applicability of different techniques based on specific datasets, it serves as a comprehensive guide for practitioners seeking effective solutions to data challenges.
