Data cleaning is the process of spotting and resolving potential data inconsistencies, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. Data Cleaning is an essential part of Data Analysis whose importance cannot be overemphasized as it is vital for proving the quality of Data. Data Cleaning ensures the Accuracy, Completeness, Uniformity and Consistency of the data in order to achieve more precise and useful analytical result.
In this studies, the FIFA 21 v2 dataset with 18979 rows and 77 columns was cleaned using Python.