Abstract: A collection of data values is divided into plural bins, wherein a number of the bins is dependent upon a change feature of the data values. Parameter values associated with respective bins are determined. Based on the parameter values, visualization of the plural bins is provided in corresponding plural display screen partitions of a display screen, wherein at least one of the display screen partitions has a resolution that is different from another of the display screen partitions.

Abstract: Continually-incoming time series data is displayed in a visualization screen. In response to detecting that the visualization screen has become full with time series data, a first portion of the time series data is overwritten with additional incoming data such that the additional incoming data replaces the first portion of the time series data in the visualization screen. A second portion of the time series data is maintained unshifted even though the additional incoming data has been added to the visualization screen.

Abstract: To visualize and analyze data, selection of at least one focus area in a visualization of a data set is received. Based on characteristics of the selected at least one focus area, using at least one analytic technique to mine relationships between data items and at least one attribute in the selected at least one focus area and data items and at least one attribute in remaining portions of the data set. At least one visual representation is generated to show mining results produced from selected data items and one or more attributes in the selected at least one focus area and the remaining portions of the data set, where the generated visual representation is composed to have an order and layout to represent the mined results.

Abstract: A method for displaying a time-series data set. The method may include determining a number of data intervals for the data set, determining a data resolution for each data interval, partitioning a display space into a number of substantially equally sized partitions equal to the number of data intervals, partitioning the dataset into a number of time-relevance-based subsets equal to the number of partitions based on the currentness of the data and the desired data resolution for each partition, determining a data layout for each partition, and associating the data values for each subset with the corresponding layout. Furthermore, the first subset may consist of more current data at a first resolution and the second subset may consist of data that is less current than the first subset at a lower resolution than the first resolution.

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: Receiving a hierarchical dataset including child data items that depend directly or indirectly from one or more parent data items. Processing the hierarchical dataset to generate nodes for each data item within the hierarchical dataset, wherein nodes for child data items are generated within nodes for parent data items and aligning nodes representing like data items in a dashboard view.

Abstract: Provided are, among other things, systems, methods and techniques for facilitating visual analysis of data relationships. Initially, a set of data values is obtained, and a graphical display of the data values is output, with different display points corresponding to different data values. A user selection of an area encompassing at least a portion of the graphical display is input, and data correlation analyses are performed between data values within the selected area other sets of data values. Graphs are then displayed based on results of the data correlation analyses.

Abstract: Continually-incoming time series data is displayed in a visualization screen. In response to detecting that the visualization screen has become full with time series data, a first portion of the time series data is overwritten with additional incoming data such that the additional incoming data replaces the first portion of the time series data in the visualization screen. A second portion of the time series data is maintained unshifted even though the additional incoming data has been added to the visualization screen.

Abstract: To visualize and analyze data, selection of at least one focus area in a visualization of a data set is received. Based on characteristics of the selected at least one focus area, using at least one analytic technique to mine relationships between data items and at least one attribute in the selected at least one focus area and data items and at least one attribute in remaining portions of the data set. At least one visual representation is generated to show mining results produced from selected data items and one or more attributes in the selected at least one focus area and the remaining portions of the data set, where the generated visual representation is composed to have an order and layout to represent the mined results.

Abstract: A collection of data values is divided into plural bins, wherein a number of the bins is dependent upon a change feature of the data values. Parameter values associated with respective bins are determined. Based on the parameter values, visualization of the plural bins is provided in corresponding plural display screen partitions of a display screen, wherein at least one of the display screen partitions has a resolution that is different from another of the display screen partitions.

Abstract: The disclosed embodiments relate to a system and method for providing a graphical representation of data. Embodiments of the present invention comprise: abstracting a plurality of parameters from the parameter set, dividing the plurality of parameters into data groups, defining a plurality of partitions for a graphical representation, mapping the data groups to corresponding nodes on the plurality of partitions, and connecting the nodes graphically with indicia that indicates an association between data groups.

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.