Abstract: A method executed by a system having a processor includes arranging pixels representing attributes into a plurality of rings. Each ring contains pixels representing a time series of attribute values for a respective one of the attributes. The method further includes providing a peak detection ring. The peak detection ring includes visual indicators for indicating a location of at least one peak in an attribute in the plurality of rings.

Abstract: Pixels representing attributes of data records are into discrete rings of a graphical visualization, where the discrete rings correspond to respective ones of the attributes, and where the pixels are arranged in each of the discrete rings according to time intervals of the data records. A correlation ring is provided in the graphical visualization in addition to the discrete rings, where the correlation ring has visual indicators for indicating degrees of correlation between at least two of the attributes.

Abstract: Data records contain corresponding values of an attribute and are associated with location information. Hierarchical levels of transparency images are generated, where each of the transparency images includes corresponding pixels that represent the respective data records, and where the transparency images at different ones of the hierarchical levels correspond to different zoom levels of a geographic map. At least one of the transparency images at a dynamically-selected one of the hierarchical levels is overlaid over the geographic map according to which of the zoom levels is selected by a user in zooming of the geographic map, where the at least one transparency image is automatically selected without user input.

Abstract: Data records representing user feedback are received, where the data records are associated with geometric coordinates. Pixels representing the corresponding data records are placed in positions in a graphical visualization according to the geometric coordinates of the data records, where the positions correspond to geographic locations. A subset of the pixels sharing a particular set of geometric coordinates is placed in a subregion of nearby positions in the graphical representation, where the pixels in the subset are placed in an order in the subregion according to values of an attribute of the data records corresponding to the pixels in the subset.

Abstract: Multivariate time-series prediction is combined with motif discovery. Multivariate time-series prediction is performed on measured (past) data points to generate or determine predicted data points. One or more motifs are discovered or determined within the combined measured data points and the predicted data points. The motifs within the measured data points are associated with the motifs within the predicted data points to permit inferences of the motifs within the measured data points to be applied to the motifs within the predicted data points. The measured data points, the predicted data points, and the motifs are displayed. User interaction with this display of the measured data points, the predicted data points, and the motifs is permitted.

Abstract: A value corresponding to an adjustable control element is received. Predicted data is computed from seasonal data, where the computing is according to applying preservation of peaks in the seasonal data and applying time distance biasing in which more recent data points in the seasonal data are weighted higher than less recent data points. Relative weighting of the peak preservation and the time distance biasing is based on the received value corresponding to the adjustable control element.

Abstract: Data records are grouped into clusters according to attributes of the data records to be correlated. At least two of the clusters that satisfy a proximity criterion are merged. At least one ellipsoid is created for presentation in a scatter plot visualization based on the grouping and merging, the ellipsoid including pixels representing multiple corresponding data records. The ellipsoid has a characteristic based on a corresponding local correlation of the attributes of the data records represented by the ellipsoid. The characteristic of the ellipsoid is adjusted based on a direction of the local correlation.

Abstract: A scatter plot that represents plural periodic time intervals is animated as new data points are received, where the animating includes performing real-time backward rewriting. The real-time backward rewriting includes overlaying a subset of previously written data points with the new data points, and painting a remainder of previously written data points outside the subset in the scatter plot, where painting the remainder of previously written data points is performed without shifting pixels corresponding to the remainder. A divider structure is drawn in the scatter plot to indicate a position in the scatter plot between a current time point and a previous time point.

Abstract: Implementations disclosed herein relate to smoothing a time series data set while preserving at least one of peak or trough data points. In one embodiment, a processor recursively identifies at least one of a peak or trough point outside of a threshold distance from a connecting line connecting a beginning and ending point within the time series data set.

Abstract: Visual structures are produced to represent corresponding motifs, where the motifs correspond to repeating patterns in an input data set, where sizes of the visual structures are based on values of a characteristic associated with the motifs, and where a first of the motifs is nested within a second of the motifs to represent a hierarchical relationship of the patterns represented by the first and second motifs. The visual structures of corresponding motifs are presented for display in a visualization screen, where the visualization screen depicts the data in the input data set with the visual structures overlapping parts of depicted data. Interactive input is received specifying modification of a region containing motifs, wherein the specified modification includes interactive distortion of the visual structures in the region to change a size of the visual structures in the region.

Abstract: To perform time slice-based visual prediction, a weighted moving aggregate of data values in a data set is calculated over previous time slices to predict data values based on interactive user input. A visual accuracy indicator is generated for display to indicate a quality of prediction of data values at different times. A visualization presents data values from the data set and the predicted data values, where the data values from the data set and the predicted data values are represented as corresponding cells.

Abstract: Color cell-based data placement systems, methods, and computer-readable storage media that visualize large amounts of multidimensional data on an output by rearranging data objects to variably grant more output space to areas with high data density and less output space to areas with low data density, and to variably rearrange overlapping data objects based on a number of data objects already placed at a preferred cell position for the data object.