Which characteristic of PROC UNIVARIATE allows at-a-glance summary statistics?

PROC UNIVARIATE in SAS is particularly designed to provide a comprehensive analysis of the distribution of data. One of its key features is the ability to generate inset summary statistics directly on the graphical representations of the data, such as histograms or box plots. This allows users to quickly view important statistical measures—such as mean, median, standard deviation, and quartiles—alongside visual representations, facilitating a more intuitive understanding of data distribution.

The inset summary statistics are especially useful because they immediately provide context to the visual data, helping analysts to quickly ascertain trends and compare different datasets without needing to reference separate output. This characteristic significantly enhances the usability of the tool for quickly assessing the central tendency and dispersion of the data.

In contrast, textual summaries provide detailed information but may not be as visually accessible for quick assessment. Color-coded outputs can enhance readability but do not specifically focus on summarizing statistics. Dynamic interactive charts, while engaging, may not offer the concise summary statistics that users are often looking for at a glance. Thus, the inclusion of inset summary statistics on plots stands out as a primary feature that supports rapid interpretation in PROC UNIVARIATE.