Abstract: A computer implemented method of analyzing and graphically representing the correlation of a plurality of transaction items, the method comprising the steps of: retrieving data associated with groups of the transaction items, correlating a plurality of groups of transaction items in a dimensionally reduced manner, creating a tree hierarchy which classifies the groups of transaction items in a hierarchy according to a defined user understandable factor, wherein the tree hierarchy is linked to the groups of transaction items, and graphically representing the correlated groups of transaction items and tree hierarchy to enable interaction between the correlated groups of transaction items and the linked tree hierarchy.

Abstract: A method of creating a graphical representation of data points in the form of a heatmap wherein the heatmap represents a plurality of multi-directional flow values between the data points, the method including the steps of positioning data points on a heatmap for graphical representation, calculating bi-directional flow values between at least a first and second data point, determining the intensity and direction of a predominant flow from the bi-directional flow values, and graphically representing the predominant flow and bi-directional flows between the data points in the heatmap.

Abstract: A method of creating a graphical representation of data in the form of a heatmap, the method including the steps of: positioning data points on a heatmap for graphical representation, calculating conical data distribution values around a data point based on a data value associated with that data point and rendering the heatmap based on the calculated data distribution values.

Abstract: A method of creating a graphical representation of data points in the form of a heatmap wherein the heatmap represents a plurality of multi-directional flow values between the data points, the method including the steps of positioning data points on a heatmap for graphical representation, calculating bi-directional flow values between at least a first and second data point, determining the intensity and direction of a predominant flow from the bi-directional flow values, and graphically representing the predominant flow and bi-directional flows between the data points in the heatmap.

Abstract: A computer implemented method of analyzing and graphically representing the correlation of a plurality of transaction items, the method comprising the steps of: retrieving data associated with groups of the transaction items, correlating a plurality of groups of transaction items in a dimensionally reduced manner, creating a tree hierarchy which classifies the groups of transaction items in a hierarchy according to a defined user understandable factor, wherein the tree hierarchy is linked to the groups of transaction items, and graphically representing the correlated groups of transaction items and tree hierarchy to enable interaction between the correlated groups of transaction items and the linked tree hierarchy.

Abstract: A method of transforming behavioral interaction data into visually interpretable information, the method including the steps of providing instructions to an end user to assist the end user in obtaining behavioral interaction data associated with a gaming environment including one or more gaming assets; determining one or more summaries of the obtained behavioral interaction data that enable the end user to understand how the gaming environment is affected by the behavioral interaction data;

Abstract: In a data visualization system, a method of creating a visual representation of data, the method including the steps of providing instructions to an end user to assist the end user in: constructing multiple graphical representations of data, where each graphical representation is one of a predefined type and includes multiple layers of elements that contribute to the end user's understanding of the data; arranging multiple graphical representations of different types within the visual representation in a manner that enables the end user to understand and focus on the data being represented; and displaying the visual representation.

Abstract: In a data visualization system, a method of creating a visual representation of data, the method including the steps of providing instructions to an end user on a display device to assist the end user in: constructing multiple graphical representations of data retrieved from a data storage module in communication with the data visualization system, where each graphical representation is one of a predefined type and includes multiple layers of elements that contribute to the end user's understanding of the data; arranging multiple graphical representations of different types within the visual representation in a manner that enables the end user to understand and focus on the data being represented; and a display module displaying the visual representation on the display device; the method further including the steps of a determination module determining one or more data elements within the graphical representations that are based on variable data, the display module displaying the determined data element on th

Abstract: In a data visualization system, a method of creating a visual representation of data points from metric data and determining the positioning of data groups associated with the metric data in the visual representation, the method including the steps of: a data retrieval module retrieving the metric data from a data storage module in communication with the data visualization system, a data grouping module arranging the metric data into a plurality of data groups, a statistical distance determination module determining a minimal statistical distance between data groups positioned next to each other in the visual representation using a hierarchical force based algorithm, and a data visualization module visually arranging the data groups in a hierarchical manner based on the determined statistical distance to create the visual representation.

Abstract: In a data visualization system, a method of creating a visual representation of data points from metric data, wherein the method includes the steps of: a data retrieval module retrieving the metric data from a data storage module in communication with the data visualization system, a determination module determining the data points based on the retrieved metric data, and a display module arranging the data points for displaying on a display device according to a predetermined visual representation, arranging the data points into a plurality of meta groups in a hierarchical manner, and arranging the meta groups into a plurality of layers, where each layer represents the data points at different levels of granularity, and a statistical distance determination module determining a statistical distance between items in the meta groups, and the display module arranging the items within the meta groups based on the determined statistical distance.

Abstract: In a graphical analysis computing system, a method of arranging data sets for graphical analysis, wherein at least two of the data sets have different periodicities, the method comprising the steps of: a data retrieval module retrieving data from a data storage module in communication with the graphical analysis computing system; a periodicity determination module determining a plurality of periodicities within the retrieved data to identify a plurality of data sets based on the determined periodicities; and an alignment module aligning a first identified data set of a first periodicity relative to a second identified data set of a second periodicity, wherein the second periodicity is different to the first periodicity.

Abstract: In a data visualization system, a method of arranging, in n dimensions, data points representing n or more variables, the method including the steps of: a data point ranking module ranking a set of data points with respect to a first axis of a visual representation using a first variable; and based on a second variable, a data point distribution module distributing the set of data points along the first axis while retaining information relating to the ranking of data points determined in step i).

Abstract: A method of creating a graphical representation of data in the form of a heatmap, the method including the steps of: positioning data points on a heatmap for graphical representation, calculating conical data distribution values around a data point based on a data value associated with that data point and rendering the heatmap based on the calculated data distribution values.

Abstract: In a data visualization system, a method of graphically representing discrete data as a continuous surface in image space, the method comprising the steps of: a data retrieval module retrieving discrete data from a data storage device in communication with the data visualization system; an interpolation module calculating a first set of values for a weighted interpolation function based on the retrieved discrete data; a smoothing module calculating a second set of values for one or more weighted approximation functions based on the retrieved discrete data; and a surface combining module combining the first and second set of calculated values over the image space to graphically represent a continuous surface.