Extract option in data wrangling function is available for which data type?

The extraction option in data wrangling functions is particularly available for date types, as they often require specific handling to manipulate and analyze time-based data. This includes functions that might extract specific elements from a date, such as the year, month, or day, which are crucial for time-series analysis or any operation that depends on the chronological aspects of the data. Dates can also be filtered, grouped, or transformed based on different temporal criteria, making their extraction fundamental in data analysis tasks.

In contrast, while attributes, measures, and boolean types can also be manipulated in data wrangling, they do not inherently possess the same time-based characteristics that specifically necessitate an extraction option. Therefore, the focus and functionality around extracting elements from data types is most relevant to date types, justifying the selection of this choice.