Which of the following attributes does NOT typically use Bucket Groups?

Bucket Groups are a method used in analytics to categorize continuous data into distinct groups, making it easier to analyze and draw insights. When considering the attributes listed, the main ones typically suited for bucket grouping are those that can be effectively categorized into discrete ranges, such as age or reassignment count, which can be grouped into ranges (e.g., age ranges like 0-18, 19-35, etc. or counts like 0-5, 6-10, etc.).

In contrast, while geographic data such as "state" can be analyzed, it does not fit the mold for bucket groups which categorize data into ranges or brackets. Each state represents a separate category and does not lend itself to the notion of a "bucket" where values can be grouped into ranges. Therefore, it is the attribute that does not typically use bucket groups, as it is already categorical in nature.

Business duration, similar to age and reassignment count, may involve continuous data that can be segmented into useful buckets, allowing for comparative analysis over various time ranges. Thus, while some attributes can be effectively grouped, the identification of "state" illustrates it as a distinct category rather than a continuous variable that would benefit from being segmented into buckets.