Abstract: Visually interactive and iterative analysis of data patterns by a user is disclosed. One example is a system including a display module and an interaction processor. The display module displays, via an interactive graphical user interface, a visual representation of a plurality of data elements and respective data relations between the data elements, and wherein each data element is represented by pixel attributes of a pixel. The interaction processor iteratively and interactively processes analysis by a user based on identifying selection, by the user, of an arbitrarily shaped region of the visual representation, clipping the selected region by zooming in to the selected region, identifying, in the clipped region, selection of data elements of interest to the user, and prompting the display module to automatically blur visual representations of data elements different from the data elements of interest by modifying the pixel attributes of respective pixels.

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: 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.