Cleansed

"Cleansed" refers to the process of thoroughly preparing data by removing or correcting inaccurate, incomplete, or irrelevant information. This ensures the dataset is accurate and reliable for analysis. For example, cleansing might involve fixing misspelled entries, removing duplicates, or filling in missing data. The goal is to improve data quality so that insights and decisions based on the data are more trustworthy. It is a crucial step in data management and analytics, helping organizations make informed, accurate conclusions.