Name the different data validation methods used by data analysts

Data Science, AI and ML
#1

There are many ways to validate datasets. Some of the most commonly used data validation methods by Data Analysts include:

  • Field Level Validation – In this method, data validation is done in each field as and when a user enters the data. It helps to correct the errors as you go.
  • Form Level Validation – In this method, the data is validated after the user completes the form and submits it. It checks the entire data entry form at once, validates all the fields in it, and highlights the errors (if any) so that the user can correct it.
  • Data Saving Validation – This data validation technique is used during the process of saving an actual file or database record. Usually, it is done when multiple data entry forms must be validated.
  • Search Criteria Validation – This validation technique is used to offer the user accurate and related matches for their searched keywords or phrases. The main purpose of this validation method is to ensure that the user’s search queries can return the most relevant results.