Which four insights can be gathered using the explain feature on attributes?

The explain feature on attributes is designed to enhance understanding of the data by providing valuable insights. One of the primary insights it offers is basic facts about the attributes in question. This can include information such as counts, averages, or standard deviations which help users comprehend the foundational characteristics of the data set. By identifying these basic facts, users are better positioned to form hypotheses or questions for further analysis.

The other insights, such as disparities, allocations, and key drivers, while important in data analysis, serve different purposes. Disparities focus on differences or inequalities within the data, allocations might refer to how resources are distributed, and key drivers analyze factors that significantly influence outcomes. However, the basic facts provided by the explain feature establish a grounding in the basic statistics, making them essential for effective data interpretation and subsequent analysis.