Which aspect is NOT typically represented in analytics visualizations?

In analytics visualizations, the main goal is to convey data insights clearly and effectively. As such, elements that do not enhance understanding or interpretation of the data are generally not included. Graphical embellishments, while they may make a visualization visually appealing, are not typically essential components of conveying analytical insights. They can serve as distractions rather than aids in understanding the data.

On the other hand, aspects like cluster size, document relevance, and subclustering data are crucial in analytics as they directly relate to how data is organized, interpreted, and understood. Cluster size helps in understanding the distribution of data points within a group, document relevance assesses how pertinent specific documents are to a particular query or analysis, and subclustering data provides deeper insights by breaking down larger clusters into more specific categories. All of these elements contribute meaningfully to the analytical narrative, unlike unnecessary embellishments that do not add informative value.