For filtering categorical data, appropriate options typically include those that handle discrete categories rather than continuous values. 'Condition' is a common filtering method for categorical data, allowing specific criteria to be applied to the data categories. 'Wildcard' also suits categorical data as it filters based on patterns or partial text matches within the categories. In contrast, 'Range of Values' and 'At Least' are more relevant for continuous numerical data, making them less suitable for categorical data filtering.