In a tabular dataset of employee records, salary is an example of which type of data?

In a tabular dataset, salary is best classified as a feature. Features are individual measurable properties or characteristics of a phenomenon being observed, often represented as columns in a dataset. In the context of employee records, the salary provides specific quantitative information about each employee, which can be used for analysis, modeling, or machine learning tasks.

The term "attribute" can sometimes be used interchangeably with feature in certain contexts, particularly in databases, but in machine learning and data analysis, "feature" is the more commonly accepted terminology to refer specifically to the variables used for predictive modeling.

While "example" refers to a single instance or row within a dataset that contains the feature values for a particular observation, and "dimension" usually relates to the structure in multidimensional datasets primarily used in data warehousing or analytics contexts, salary specifically embodies the characteristic of being a measurable input for modeling purposes.