What is the purpose of using a Bucket Group?

The purpose of using a Bucket Group is to implement a breakdown on a continuous attribute. By utilizing bucket groups, analysts can segment continuous data into discrete ranges or categories, making it easier to analyze patterns or trends within the data. For example, if a dataset includes a continuous variable such as sales revenue, a bucket group can be set up to categorize revenue into brackets like $0-$1,000, $1,001-$5,000, and so on. This transformation allows for more meaningful insights because it converts numerical ranges into categorized data, facilitating comparative analysis and visualization.

In contrast, creating additional user roles pertains to user management rather than data segmentation, visualizing data in different formats focuses on presentation rather than data categorization, and storing historical data involves data retention rather than categorization or segmentation of continuous attributes. Thus, the functionality of a bucket group is distinctly aligned with breaking down continuous attributes into manageable segments for clearer analysis.