Data Cleansing Checklist
What is Data Cleansing? Data cleansing is the procedure of detecting corrupt data and removing them from the datasets. It also includes eliminating inaccurate, incorrect, and incomplete data. It has been estimated that around 80-90% of data scientists time is spent for data cleansing. Use the checklist curated by us …
