True or False: The duration type works with a dimension_group and a regular dimension.

True or False: The duration type works with a dimension_group and a regular dimension.

• A. True
• B. False
• C. Only with regular dimensions
• D. Neither

Answer: (B)

The statement is considered false because the duration type is specifically designed to work with a dimension_group, which is a collection of related fields that can include time intervals, rather than with a regular dimension. A dimension_group in Looker typically includes aspects such as starting and ending points of a time duration along with the ability to aggregate time calculations effectively. In contrast, regular dimensions do not have the built-in functionality to handle time calculations like duration types. They represent discrete values and are not created to perform the same time-related manipulations or aggregates that a dimension_group can. This distinction is key to understanding how duration types operate within LookML. The capacity to capture and manipulate time intervals, which dimension_groups provide, is essential for correctly calculating durations, whereas regular dimensions lack these capabilities. Thus, the accurate understanding of how these components interact leads to the conclusion that the statement is indeed false.

The statement is considered false because the duration type is specifically designed to work with a dimension_group, which is a collection of related fields that can include time intervals, rather than with a regular dimension. A dimension_group in Looker typically includes aspects such as starting and ending points of a time duration along with the ability to aggregate time calculations effectively.

In contrast, regular dimensions do not have the built-in functionality to handle time calculations like duration types. They represent discrete values and are not created to perform the same time-related manipulations or aggregates that a dimension_group can. This distinction is key to understanding how duration types operate within LookML.

The capacity to capture and manipulate time intervals, which dimension_groups provide, is essential for correctly calculating durations, whereas regular dimensions lack these capabilities. Thus, the accurate understanding of how these components interact leads to the conclusion that the statement is indeed false.