In a use case for Scripted Mapping, what task does the script perform when handling bucket groups?

In the context of Scripted Mapping, particularly when dealing with bucket groups, the primary task that the script performs is to convert data formats. This process involves taking data from one format and transforming it into another, which is crucial when working with diverse data sources that may not align with one another.

Bucket groups typically categorize data into ranges or groups, and the mapping script ensures that each category is formatted consistently for further analysis or reporting. This formatting might include converting numerical values into specific units, changing date formats, or ensuring that categorical variables correspond appropriately to the defined bucket groups. By performing these conversions, the script facilitates accurate data processing and aggregating within the analytics platform.

The other tasks—calculating averages, filtering records, and generating reports—are important data analysis functions, but they do not specifically relate to the core role of scripted mapping in the context of bucket groups. Instead, those functions would be carried out in later stages of data analysis, such as when processing the converted data or during reporting phases.