Abstract: A method for creating a graphical representation of data is performed at an electronic device having one or more processors and memory. The device receives a finite set of data points and calculates a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value. Each conical distribution comprises a set of locations and a unique distribution value corresponding to each location. The device determines that a first data value of a first data point is less than a distribution value for a second data point. The distribution value has a location that corresponds to the first data point. Based on that determination, the device calculates an inverse conical distribution in a region around the first data point. The device combines the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.

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 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: 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: 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: A method for creating a graphical representation of data is performed at an electronic device having one or more processors and memory. The device receives a finite set of data points and calculates a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value. Each conical distribution comprises a set of locations and a unique distribution value corresponding to each location. The device determines that a first data value of a first data point is less than a distribution value for a second data point. The distribution value has a location that corresponds to the first data point. Based on that determination, the device calculates an inverse conical distribution in a region around the first data point. The device combines the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.

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: 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 for creating a graphical representation of data is performed at an electronic device having one or more processors and memory. The device receives a finite set of data points and calculates a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value. Each conical distribution comprises a set of locations and a unique distribution value corresponding to each location. The device determines that a first data value of a first data point is less than a distribution value for a second data point. The distribution value has a location that corresponds to the first data point. Based on that determination, the device calculates an inverse conical distribution in a region around the first data point. The device combines the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.

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 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 for creating a graphical representation of data is performed at an electronic device having one or more processors and memory. The device receives a finite set of data points and calculates a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value. Each conical distribution comprises a set of locations and a unique distribution value corresponding to each location. The device determines that a first data value of a first data point is less than a distribution value for a second data point. The distribution value has a location that corresponds to the first data point. Based on that determination, the device calculates an inverse conical distribution in a region around the first data point. The device combines the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.

Abstract: A method for creating a graphical representation of data is performed at an electronic device having one or more processors and memory. The device receives a finite set of data points and calculates a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value. Each conical distribution comprises a set of locations and a unique distribution value corresponding to each location. The device determines that a first data value of a first data point is less than a distribution value for a second data point. The distribution value has a location that corresponds to the first data point. Based on that determination, the device calculates an inverse conical distribution in a region around the first data point. The device combines the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.

Abstract: A method for creating a graphical representation of data in the form of a heatmap is performed at an electronic computing device. The device positions data points on a heatmap for graphical representation and calculates conical distribution values around a first data point based on a first data value associated with the first data point. When a conical distribution value around the first data point is greater than a second data value associated with a second data point, the device adjusts the conical distribution values proximate to the second data point by applying an inverse conical distribution around the second data point. The device renders the heatmap based on the calculated conical distribution values and the adjusted conical distribution values so that the data value of the second data point is visible on the heatmap.

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: 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 for creating a graphical representation of data is performed at an electronic device having one or more processors and memory. The device receives a finite set of data points and calculates a respective conical distribution for each respective data point centered on the respective data point and based on a respective data value. Each conical distribution comprises a set of locations and a unique distribution value corresponding to each location. The device determines that a first data value of a first data point is less than a distribution value for a second data point. The distribution value has a location that corresponds to the first data point. Based on that determination, the device calculates an inverse conical distribution in a region around the first data point. The device combines the conical distributions and inverse conical distributions to display a data visualization that includes each of the data points.

Abstract: A method for creating a graphical representation of data in the form of a heatmap is performed at an electronic computing device. The device positions data points on a heatmap for graphical representation and calculates conical distribution values around a first data point based on a first data value associated with the first data point. When a conical distribution value around the first data point is greater than a second data value associated with a second data point, the device adjusts the conical distribution values proximate to the second data point by applying an inverse conical distribution around the second data point. The device renders the heatmap based on the calculated conical distribution values and the adjusted conical distribution values so that the data value of the second data point is visible on the heatmap.