Answer:
Documentation is the process of tracking changes made to the data during data cleaning. It involves recording every step taken to clean the data, the reason for each change, and any assumptions made in the process. This documentation helps to ensure that the data is accurate, reliable, and transparent, which is essential for data analysis and decision-making. Moreover, it enables different stakeholders to understand the data better, mitigate risks associated with data cleaning, and improve the overall quality of the data. Therefore, documentation plays a crucial role in data cleaning, and it is a best practice that should be followed meticulously.