What does chaining filters in Tableau involve?

Chaining filters in Tableau specifically refers to the process of applying filters in sequence, where the output of one filter serves as the input for another filter. This sequential application enables a more granular approach to narrowing down data, allowing analysts to progressively refine their datasets based on specific criteria.

When filters are applied in sequence, each subsequent filter operates on the result of the previous filter. This means that the data available for the next filter is already narrowed by the filters that came before it. For example, if the first filter isolates sales data from a specific region, the next filter could then focus on a specific product category within that region’s sales data. This method enhances analytical precision and helps in gaining deeper insights from the dataset.

In contrast, simply using multiple filters at once does not utilize the concept of chaining. It's essential to understand that while multiple filters can be applied simultaneously, chaining emphasizes the sequence and dependence between those filters.