What type of filter is available for Decimal, Whole Number, and Currency fields?

A numeric filter is specifically designed to handle data types such as Decimal, Whole Number, and Currency fields, making it the appropriate choice in this context. This filter allows users to apply conditions based on numeric values, enabling them to filter records based on ranges, exact matches, greater than or less than criteria, and similar numerical conditions.

This capability is particularly valuable in data analysis and reporting, where users need to interact with quantitative data effectively. For example, when working with financial records, using a numeric filter would allow for filtering transactions above a certain amount or those within a specific monetary range.

Other filter types do not serve this purpose; a date filter is limited to date fields and manages temporal data. A boolean filter is applicable for true/false fields and cannot process numeric data directly. A list filter is used for categorical data, allowing selection from predefined options, which does not align with numeric field types. Thus, the numeric filter is uniquely suited for operating on Decimal, Whole Number, and Currency fields.