Which validation methods are employed by data analysts?
In the process of data validation, it is important to determine the accuracy of the information as well as the quality of the source. Datasets can be validated in many ways. Methods of data validation commonly used by Data Analysts include:
* Field Level Validation : This method validates data as and when it is entered into the field. The errors can be corrected as you go.
* Form Level Validation : This type of validation is performed after the user submits the form. A data entry form is checked at once, every field is validated, and highlights the errors (if present) so that the user can fix them.
* Data Saving Validation : This technique validates data when a file or database record is saved. The process is commonly employed when several data entry forms must be validated.
* Search Criteria Validation : It effectively validates the user's search criteria in order to provide the user with accurate and related results. Its main purpose is to ensure that the search results returned by a user's query are highly relevant.
