Which type of resource allows viewing data at both high and low levels of detail?

The option referring to hierarchy is the correct answer because a hierarchy structure enables users to view data at varying levels of detail. In a hierarchy, data is organized in a way that allows for aggregation and drill-down capabilities. For instance, users can start by viewing summarized data (high-level detail) and then drill down to see more granular data (low-level detail) as needed. This feature is essential for tasks such as data analysis and reporting, where being able to navigate between overall trends and specific details is crucial.

On the other hand, while metadata provides information about data characteristics, it does not inherently allow for viewing data detail levels. Data tables present data in a flat format without the inherent structuring that allows users to navigate between high and low levels of detail as hierarchies do. Similarly, a forecast model encompasses predictions based on existing data but does not specifically offer the flexibility to view data at various detail levels. Thus, hierarchy stands out as the best option for fulfilling the requirement of viewing data both at high and low levels of detail.