Abstract: Visual representations having visual nodes that can each show up to two levels of an abstraction hierarchy of data, extracted elements of the data, and/or categories thereof, with the optional ability to explode the data, the extracted elements, and/or the categories into additional visual nodes provide capability for deeper composition exploration. Relationships among the data, the extracted elements, and/or the categories can be represented via lines within and across visual nodes. The visual representation can provide an user with awareness of different attributes of the data, the extracted elements, and/or the categories in context even for large, complex corpora of data. The representations of the data, the extracted elements, and/or the categories in the visual representation can be sorted, can depict relative size or quantity across various attributes, and can provide insight into relationships based on metadata and/or content.