Data cleaning is an essential step for obtaining accurate and actionable insights. It is the process of identifying and correcting inaccuracies, inconsistencies, and irrelevant data in your dataset. Without proper data cleaning, the results of data analysis can be unreliable and misleading as Garbage-in-Garbage-Out. For example, imagine you are analysing sales data for a retail store. If the data contains duplicate entries or missing