What is Data Analysis, in brief?

As the name implies, data validation is the process of evaluating the correctness of data as well as the source’s quality. Data validation entails several steps, the most important of which are data screening and data verification.

Data screening: Using some models to check that the data is correct and that there are no redundancies.

Data verification: If a redundancy exists, it is examined using several stages before a call is made to confirm the data item’s availability.