Question

1. Describe the term data validation.​

Answer 1

Answer:

Data validation is a method for checking the accuracy and quality of your data, typically performed prior to importing and processing. It can also be considered a form of data cleansing. ... Data validation helps ensure that when you perform analysis, your results are accurate.

Answer 2

Answer:

Data validation means checking the accuracy and quality of source data before using, importing or otherwise processing data. Different types of validation can be performed depending on destination constraints or objectives. Data validation is a form of data cleansing.

Explanation:

$Hope \: it \: helps...!!$