Which datatypes are compatible with the Field Summary tool?

The Field Summary tool is used to provide an overview of data, including statistics and information on the characteristics of the fields within a dataset. It can summarize various data types effectively, allowing users to gain insights quickly.

The correct answer encompasses Int16, Spatial, Double, and DateTime. Each of these data types offers distinct features that can be summarized. For instance, 'Int16' pertains to a numeric integer type that supports a range suitable for various calculations, while 'Spatial' captures geographic data types, which are often important in mapping and location analyses. 'Double' is a floating-point numeric type that allows for more precise calculations due to its ability to represent very small and very large numbers. Finally, 'DateTime' includes time-stamped data, which can be analyzed for trends over time.

These specifications enable the Field Summary tool to perform robust analyses on a variety of data types that occur regularly in many datasets, whereas the other sets lack data types that are generally not supported or might not be typical for summary statistics. The tool is designed primarily for common numerical and date types, ensuring clarity and better interpretation of the results.