Abstract: A method of visualizing high-cardinally data is provided. A graph is presented on a display. The graph includes a first axis, a second axis, and a plurality of value markers. The first axis includes a minimum value and a maximum value and the second axis includes a plurality of category values. A selection indicator identifying selection of a first value marker of the plurality of value markers is received. The first value marker indicates a value for a category value of the plurality of category values. A second plurality of category values is determined based on the category value. The graph and a second graph are presented on the display. The second graph includes a third axis, a fourth axis, and a second plurality of value markers. The third axis includes a second minimum value and a second maximum value.

Abstract: A method of proportional highlighting of data is provided. A graph presented on a display includes a first axis, a second axis, and a first value marker that indicates a value determined from data selected for presentation. The first axis includes a minimum value and a maximum value. The second axis includes a plurality of category values. An indicator identifying a subset of the data is received. A proportional value is determined for the first value marker based on the received indicator. A second value marker indicating the proportional value is presented on the graph overlaid on the first value marker when the determined proportional value is between the minimum value and the maximum value. A scale adjustment marker is presented on the graph without adjusting the first axis when the determined proportional value is not between the minimum value and the maximum value.

Abstract: A method of visualizing high-cardinally data is provided. A graph is presented on a display. The graph includes a first axis, a second axis, and a plurality of value markers. The first axis includes a minimum value and a maximum value and the second axis includes a plurality of category values. A selection indicator identifying selection of a first value marker of the plurality of value markers is received. The first value marker indicates a value for a category value of the plurality of category values. A second plurality of category values is determined based on the category value. The graph and a second graph are presented on the display. The second graph includes a third axis, a fourth axis, and a second plurality of value markers. The third axis includes a second minimum value and a second maximum value.

Abstract: A method of proportional highlighting of data is provided. A graph presented on a display includes a first axis, a second axis, and a first value marker that indicates a value determined from data selected for presentation. The first axis includes a minimum value and a maximum value. The second axis includes a plurality of category values. An indicator identifying a subset of the data is received. A proportional value is determined for the first value marker based on the received indicator. A second value marker indicating the proportional value is presented on the graph overlaid on the first value marker when the determined proportional value is between the minimum value and the maximum value. A scale adjustment marker is presented on the graph without adjusting the first axis when the determined proportional value is not between the minimum value and the maximum value.

Abstract: In accordance with the teachings described herein, systems and methods are provided for graphically distinguishing levels from a multidimensional database. Levels from a multidimensional database are distinguished, such as by associating two or more of database's levels with a plurality of different visual indicators.

Abstract: In accordance with the teachings described herein, systems and methods are provided for graphically distinguishing levels from a multidimensional database. Levels from a multidimensional database are distinguished, such as by associating two or more of database's levels with a plurality of different visual indicators.