Introduction Every data science, analytics, business intelligence, and any other data-related report depends on a clean dataset. However, almost 90% of the time, we can't clean and process to begin with. In most cases, the datasets are characterized by inconsistent formatting, varying levels of missing values, and other structural anomalies. While there are different tools for data preprocessing, Python's pandas is often utilized. Thus, to provide a detailed understanding of the pandas li...