What is a filter that follows another filter called?

A filter that follows another filter is referred to as a Cascading Filter. This term describes the process where the output of one filter is used as the input for another, creating a sequence or chain of filters that refine the data further. In this context, the first filter applies certain criteria, and the subsequent filter applies additional criteria based on the results of the first.

Cascading Filters enhance the flexibility and power of data analysis, allowing users to apply multiple layers of data segmentation and analysis to achieve more specific insights. This is particularly useful in complex datasets where users need to drill down into the data for more granular analysis or focused reporting.

This concept is critical in various analytics applications as it facilitates a structured approach to data filtering, leading to more organized and targeted outcomes in data presentations and reporting. Each layer of filtering adds another dimension to how data can be analyzed and understood.