dataarvot
Dataarvot is a term used in Finnish-language data science and information technology to refer to the values of the data fields in a data set. Each dataarvo represents a specific attribute or measurement for a given record, such as a person’s height, a timestamp, or a category label. Dataarvot are stored in data structures according to their data type and are subject to rules for validity and unit consistency.
Common dataarvot types include numeric values (integers and floating-point numbers), categorical values (nominal and ordinal), text
Dataarvot quality is a central concern in data management. The reliability of analyses depends on accuracy,
During data processing, dataarvot may be transformed: scaling numeric values, encoding categories, handling missing values, and