Abstract: A method for effective placement of data for visualization of multidimensional data sets using multiple pixel bar charts. Data is received comprising a plurality of records, each record having a plurality of attributes. From the plurality of attributes, a set of attributes is determined for placement of the plurality of records in a graphically displayable array comprising a plurality of data points, each data point representing one record of the plurality of records. In one embodiment, the graphically displayable array is a pixel bar chart. The plurality of records are arranged to construct the pixel bar chart for presenting the data in a format for detecting relationships between the plurality of records. The present invention provides a pixel visualization technique having a method of optimal data placement to resolve the locality and ordering constraints.

Abstract: A method for graphically presenting large volumes of data without aggregation using a pixel bar chart. Records having multiple attributes are sorted for constructing a graphically displayable array, wherein the graphically displayable array comprises a plurality of pixels. Each pixel represents one record. The non-aggregation data visualization technique of the present invention provides solutions to meet the need of automatic data preparation for the visual data mining of massive data volumes. The present invention effectively uses screen space to represent each record without cluttering the display, allowing a user to easily discover patterns and correlations. The present invention provides a visual impression by representing the value of a record by a color and representing the number of records by the area of a group. With “drill down” capability, a user can navigate through each record to find detail information.

Abstract: A method for graphically presenting large volumes of data without aggregation using a pixel bar chart. Records having multiple attributes are sorted for constructing a graphically displayable array, wherein the graphically displayable array comprises a plurality of pixels. Each pixel represents one record. The non-aggregation data visualization technique of the present invention provides solutions to meet the need of automatic data preparation for the visual data mining of massive data volumes. The present invention effectively uses screen space to represent each record without cluttering the display, allowing a user to easily discover patterns and correlations. The present invention provides a visual impression by representing the value of a record by a color and representing the number of records by the area of a group. With “drill down” capability, a user can navigate through each record to find detail information.

Abstract: A method for effective placement of data for visualization of multidimensional data sets using multiple pixel bar charts. Data is received comprising a plurality of records, each record having a plurality of attributes. From the plurality of attributes, a set of attributes is determined for placement of the plurality of records in a graphically displayable array comprising a plurality of data points, each data point representing one record of the plurality of records. In one embodiment, the graphically displayable array is a pixel bar chart. The plurality of records are arranged to construct the pixel bar chart for presenting the data in a format for detecting relationships between the plurality of records. The present invention provides a pixel visualization technique having a method of optimal data placement to resolve the locality and ordering constraints.