ABSTRACT
Filtering simply eliminates elements, whereas aggregation combines many together. The design choice of filtering is a straightforward way to reduce the number of elements shown: some elements are simply eliminated. Filtering can be applied to both items and attributes. A straightforward approach to filtering is to allow the user to select one or more ranges of interest in one or more of the elements. The range might mean what to show or what to leave out. In item filtering, the goal is to eliminate items based on their values with respect to specific attributes. The dataset is a table with nine value attributes: genre, year made, title, actors, actresses, directors, rating, popularity, and length. Attributes can also be filtered. With attribute filtering, the goal is to eliminate attributes rather than items; that is, to show the same number of items, but fewer attributes for each item.
