Microsoft Technology Licensing, LLC

Other

David G Green

Vijay Mital

Darryl Ellis Rubin

Suraj T Poozhiyil

John Alfred Payne

Brian C Beckman

Olivier Colle

Ahmad Nizam Anuar

Dharma Kiritkumar Shukla

Satish Ramchandra Thatte

Bimal Kumar Mehta

Abhay Vinayak Parasnis

Robert John Anderson

Jason A Wolf

Jeremy William John Newton-Smith

Gary Shon Katzenberger

Andrew Douglas Reddish

Krasimir A Aleksandrov

A graphical manipulation tool to create and/or make modifications to a graphical object suitable for visually representing data. The graphical manipulation tool analyzes the graphical object to determine parameters of visual characteristics of the graphical object that can be used to visually represent data. A computing system, through the graphical manipulation tool, may generate metadata that defines a capacity for visual characteristics to represent data. In some cases, a preview is displayed on a user interface indicating to a user how the metadata, if incorporated with the graphical object, may result in the visual characteristics of the graphical object being used to visually represent data. If incorporating the metadata with the graphical object is desirable, the user may provide to include the additional metadata with the graphical object.

Extensions for modifying a graphical object to display data

A pattern of visual interactivity may be automatically proposed for processing a data set that exhibits dimensions of variability. A visual display component may be analyzed to assess whether it is capable of receiving user input representing changes that correspond to types of changes of the identified dimensions of the data set. A suitable visual display component may be provided as a suggestion on a user interface for potentially using the visual display component to allow a user to interact with the data. In some embodiments, a visual display component includes a number of visual objects and/or visually interactive components for use within a graphical user interface. A visual display component may include one or more analytic patterns having at least one of an equation, rule, constraint, expression or combination thereof that represents the analytic pattern. Alternatively, a visual display component may involve a visual display representation of data through visual characteristics of a graphical object.

Proposing visual display components for processing data

Formulating a visual scene includes accessing shapes, each corresponding to an object that is to be visually represented. Formulating the visual scene also includes accessing a data series, which includes data points to be applied to the shapes. Formulating the visual scene also includes accessing a geometry, which includes a container, a binding definition, and an arrangement definition. The data series is visualized within the container by visually rendering each shape within the container. The binding definition defines how to apply each data point to a shape. The arrangement definition defines how to map an axis set to a coordinate system of the container, and how to lay out the shapes within dimensions of the container. Formulating the visual scene includes populating the geometry with a visual representation of the data series using the shapes, including visually rendering each shape within the container according to the binding and arrangement definitions.

Composing shapes and data series in geometries

Techniques for representing and publishing an interactive document useful for analyzing data. The document may be represented as a directed acyclic graph of entities interconnected by edges. The entities may be of multiple types. Yet, a broad range of interactive documents may be represented by a limited number of types of entities and the capabilities to interconnect entities of different types and to share a data schema across entities of different types. A tool may enable a user to author such documents. The tool may also facilitate publishing of the document. For publishing, the document may be converted to an executable form. Prior to such a conversion, the graph may be modified for more efficient processing. The graph may also be partitioned such that portions of the graph, when distributed across tiers of a computing system, such as a cloud-based platform, execute on computing devices that provide efficient operation.

Representation of an interactive document as a graph of entities

The use of visual cues associated with rendered visual items to cue a user on whether a rendered visual item has interactive capability and/or what type of interaction is possible with that visual item. The visual items may be rendered in a data driven way with each constructed using a corresponding parameterized view component. The parameter(s) are populated by data, perhaps by model variables obtained from an analytical model. The parameters then drive logic associated with the view component to thereby construct a visual item which may then be rendered. The rendering engine then renders the visual item with the visual cue. The user may then interact with the rendered visual item. Such interaction might cause some external action to occur, might change which visual items are displayed, and/or might change a value of the input parameters of one or more view components used to generate displayed visual items.

Presaging and surfacing interactivity within data visualizations

An insight that a user desires to obtain from graphically presenting and manipulating a data set may be identified. A graphical object may be selected for representation and analysis of the data set based on whether the graphical object is capable of revealing the desired insight. The selection may be made based visual characteristic(s) of the graphical object and parameters, such as a type, of data in the data set. Different graphical objects may be selected to gain different insights about the data set. For example, a bar chart may be selected to gain an insight such as a trend in the data. The selected graphical object may be provided as a suggestion on a user interface for potentially using the graphical object to represent the data. A graphical object may include visually interactive components for use within a graphical user interface. The interactive components may be used to receive user input indicating a change in representation of the data set so that appearance of visual characteristics of the graphical object is modified to reflect the change.

Discovering and configuring representations of data via an insight taxonomy

A renderable geometry the may be populated with shapes and data series. The geometry defines a set of dimensions to be applied to the shapes. The geometry further defines and enforces a construction of the shapes around the set of dimensions, and applies the data series to the plurality of shapes against at least one of the set of dimensions. The formulate of the geometry may be recursively performed. For instance, the geometry may be provided as a shape in a set of shapes provided to yet another geometry with another data series. The data series might be reversibly applied to one of the dimensions, allowing for complex geometries to be created with data represented in very flexibly ways.

Visualization frameworks may include solvers. The solvers may be used to determine the properties of view components of view compositions. In some instances, the solvers may be explicitly composed using a relational structure, such as a dependency tree. In some instances, the solvers may be implicitly composed based on property-setters having solvers invoking other property-setters having solvers.

Solver-based visualization framework

The rendering of sequential data-driven scenes. Each data-driven scene is constructed using a plurality of view components, each receiving data into its input parameters, and using construction logic to formulate a rendering of corresponding visual item(s). When a transition even is detected, the data-driven scene changes from one scene to the next. For instance, the transition might occur by changing any one or more of the following: changing the data that is applied to the view components, 2) changing the set of view components, 3) changing the dimension set, or 4) changing one or more geometries used to construct the scene. Thus, data-driven scenes may be presented sequentially.

Data-driven visualization transformation

Aspects described relate to analyzing data at a high level of abstraction. 'Smarts,' incorporating one or more analytic patterns, may be applied to data sources. These Smarts may be in the form of at least one of an equation, rule, constraint or expression to generate a result from applying the analytic pattern to the data. Smarts may be pre-defined and selected from a library based on user preference and the data input. Any suitable user interface may be used to apply analytic pattern(s) to items of data as well as provide a visual environment for a user to make intuitive adjustments to the data, add controls in the user interface to filter or constrain the data, or combinations thereof, resulting in one or more modified results.

Applying analytic patterns to data

The rendering on a user interface of a potentially complex computerized scene generation system. The user interface includes visual item(s) that have associated data. In addition, another set of visual items may be driven by data provided to input parameters, and may represent elements in the scene. Through user gestures, a user may correlate data items in the data source visual items with the element visual items to thereby automatically populate the element visual items with data, affecting the rendering of the data-driven element visual items. The element visual items might be linked, once again, perhaps through user gestures, to a parent visual item. In so doing, properties of the parent visual item might change and/or input parameters of the element visual items might change. Accordingly, complex visual scenes may be created through potentially quite simple user gestures.

Creating new charts and data visualizations

A complex solver that is able to solve a diverse variety of model analytics. Upon identifying the various input variable(s) and output variable(s) of the model variables, if a straight forward solve is not to be performed, it is determined whether the model analytics is to be inverted such that a forward solve can be performed. For instance, it might not be known generally, or at least to the solver, how to invert a particular equation of other model analytics. If the model analytics is to be inverted, the model analytics is inverted, and the forward solve is performed. On the other hand, if the inversion of the model analytics is not to be performed, then a numerical analysis solve is performed.

Hybrid solver for data-driven analytics

The composition of a data-driven analytics model that includes at least an analytical modeling component that defines analytical relationships between the model parameters using multiple analytical relations. The analytical modeling component uses the analytical relations to identify which of the model parameters are known and which are unknown, and solves for the identified unknown model parameter(s). The analytics modeling component also includes an analytics taxonomy in which the analytical relations are categorized into related analytics categories. Navigation through the analytics taxonomy assists in the composition of an analytics model. The analytics taxonomy may, but need not, be domain specific.

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Redmond, WA, United States of America

David G Green