What is a common type of condition verified in validation checks?

Variable ranges and formats are a common focus in validation checks because they help ensure that the data falls within expected limits and conforms to specific specifications required for analysis. For instance, if a dataset includes a variable that should only contain ages, validation checks would ensure that the values are within a realistic range, such as 0 to 120, and that they are in the correct numeric format. Ensuring data accuracy at this level is crucial for maintaining the integrity of analyses and the validity of results.

While data visualization integrity, data entry completeness, and file format compatibility are also important aspects of data quality and management, they are not typically categorized as direct validation checks. Instead, they relate to different stages of data processing or presentation, such as ensuring visual outputs are correctly displayed, that all required data has been entered, and that the files are in acceptable formats for system compatibility. Thus, variable ranges and formats align closely with the purpose of validation checks in a data processing context.