Row-by-Row Comparison is a data analysis technique where each row of a dataset is individually compared against corresponding rows in another dataset or the same dataset to identify similarities, differences, or specific patterns. This method is essential for tasks such as data validation, error detection, and ensuring data integrity, especially in large datasets where manual comparison is impractical.