Tableau Software, Inc.

Salesforce, Inc.

Microsoft Technology Licensing, LLC

Matthew Michael Brehmer

Arjun Srinivasan

Vidya Raghavan Setlur

Scott A Sherman

Bongshin Lee

Donghao Ren

Carmen Paige Hull

Robert Kosara

Rodion Degtyar

Linda Ruth Bartram

Bryan Alexander Feddern

Vladimir Kondrashov

Lauren Lea Jackson

Brian David Hall

Hyeok Kim

Harveen Kathuria Kaza

A computer system receives user specification of values for a plurality of snapshot properties of a first snapshot. The first snapshot includes a first snapshot component that is extracted from a first data dashboard. The first data dashboard is associated with a first data source. The user specification includes a first date/time for which data in the first snapshot is valid and a first collaboration platform to which the first snapshot is to be exported. The computer system, in accordance with receiving the user specification, generates a first snapshot specification for the first snapshot according to the values for the plurality of snapshot properties. The computer system generates the first snapshot according to the first snapshot specification. The computer system causes the first snapshot to be displayed as a message on a messaging application of an electronic device. The messaging application is associated with the first collaboration platform.

Infrastructure for retargeting dashboard content as interactive data snapshots

A computing device displays, in a graphical user interface, a canvas region that includes a first scene. The first scene includes a first visualization card having a first data visualization and a second visualization card, adjacent to the first visualization card, the second visualization card having a second data visualization. The device receives user input to specify merging the first data visualization with the second data visualization. Responsive to the user input, and in accordance with a determination that (i) the first data visualization and the second data visualization share a common time period and (ii) there is a substantial overlap between a first range of values in a vertical axis of the first data visualization and a second range of values in a vertical axis of the second data visualization, the device merges the first data visualization and the second data visualization into a single data visualization.

Using semantic alignment and contextual recommendations to present time series metrics

A computing device identifies a plurality of metrics corresponding to one or more data sources. The device receives a first user input to add a first data visualization to a first visualization card in a first scene of the interactive presentation. In response to the first user input, and in accordance with a determination that the graphical user interface includes a prior scene having a second visualization card with a second data visualization, the device computes, for each metric, a respective parameter that measures a variability of values of the respective metric. The device identifies a subset of metrics based on the computed parameters and identifies a first metric to which the second data visualization corresponds. The device determines whether the first subset of metrics includes the first metric and displays a plurality of the generated data visualizations in accordance with the determination.

Using contextual recommendations to present time-series metrics

A computing device displays, in a graphical user interface, a canvas region that includes one or more scenes. The one or more scenes include a first scene having a first visualization card. The device displays, in the graphical user interface, a recommendation region that includes one or more data visualizations. Each of the data visualizations corresponds to a respective metric of a data source. The respective metric has a respective temporal attribute. The device also displays, in the graphical user interface, a scene summary that includes, for each scene, a respective count of visualization cards corresponding to the scene, a respective count of text cards corresponding to the scene, a respective count of unique metrics corresponding to the scene, and a respective cumulative temporal span corresponding to the scene.

User interface for presenting time series metrics

A computing device receives a natural language command directed to a data source. The device applies one or more respective rules to determine whether the natural language command comprises an ambiguous and/or underspecified request. In accordance with a determination that the natural language command comprises an ambiguous and/or underspecified request, the device infers information to resolve the ambiguous and/or underspecified request according to (i) the one or more respective rules, (ii) metadata for the data source, and (iii) metadata for one or more data fields specified in the natural language command. The device updates a respective intent specification based on the inferred information, retrieving data sets from the data source according to the respective intent specification, and generates and displays a data visualization based on the retrieved data sets.

Applying a visual analytics intent language to generate data visualizations

A computer system animates data visualizations. The system displays a graphical user interface, including a schema region with data field icons representing data fields from a data source and a canvas region displaying a data visualization having visual marks representing data according to visual properties. A user associates a data field icon, representing a data field, with a visual property of the visual marks. In response, the system modifies the data visualization so that the visual property of each visual mark is displayed according to data values of the data field. A user associates a second data field icon, representing a second data field, with a second visual property of the visual marks. The second visual property specifies a nonstop animation format. In response, the system modifies the data visualization to animate the visual marks according to the second visual property and data values for the second data field.

Data analysis platform with animation for rendering graphical representations of data

A computing device displays, in a graphical user interface, a canvas region that includes a first scene. The first scene includes a first visualization card. The device also displays, in the graphical user interface, a recommendation region that includes one or more data visualizations. Each data visualization corresponds to a respective metric of one or more metrics of a data source. The respective metric has a respective temporal attribute. The device receives user selection to add a first data visualization, corresponding to a first metric of the one or more metrics, to the first visualization card. In response to the user selection, the device updates display of the first visualization card to include the first data visualization.

Using semantic alignment to present time series metrics

A computing device receives a user input to add a data visualization to a first visualization card in a first scene of an interactive presentation. In response to the user input, when the first scene is an initial scene to be added, the device computes, for each metric of a plurality of metrics, a respective parameter that measures the variability of values of the respective metric, and identifies a first subset of metrics based on the computed parameters. The device generates a respective data visualization for each metric. The device displays a plurality of the generated data visualizations. The device receives user selection of a first data visualization of the plurality of data visualizations, corresponding to a first metric of the subset of metrics. In response to the user selection, the device populates the first visualization card with the first data visualization.

Visualization recommendations for time-series metrics presentations

A computing device displays, in a graphical user interface, a canvas region that includes a first scene. The first scene includes a first visualization card having a first data visualization and a first text card, adjacent to the first visualization card. The device receives, via the first text card, (i) text input from a user and (ii) user selection of a first user interface element for linking the first text card to the first visualization card. In accordance with the receiving, the device determines whether the text input includes a first expression having a first time span that intersects with a temporal domain of the first data visualization. In accordance with a determination that the text input includes the first expression, and in response to a first user interaction with a first region of the first text card that includes the first expression, the device visually emphasizes a first portion of the first data visualization, corresponding to the first time span.

Semantic alignment of text and visual cards to present time series metrics

Embodiments are directed to presenting visualizations over a network. A presentation specification. An overlay may be generated that includes visualizations of presentation objects based on the presentation specification. A video stream of a view of a presenter captured by a presenter station may be provided. A composited video stream may be generated based on the overlay and the video stream. The composited video stream may be provided to a video conference service that distributes the composited video stream to the presenter station and to audience stations. Movements of the presenter may be tracked based on the video stream captured by the presenter station. Gestures may be determined based on the tracked movements. In response to a determined gesture being associated with an interactive feature, activating the interactive feature to update the overlay such that the updated overlay may be included in a recomposited video stream.

Augmenting video with interactive visualizations

An electronic device has a first device type. The device receives a request directed to a data source. The request includes one or more intent types and one or more predefined attributes associated with the one or more intent types. The device formulates, for each of the intent types, a respective intent specification according to the request. In some implementations, the device determines respective properties of the respective intent specification according to the respective predefined attributes and according to data fields, from the data source, specified in the request. The device generates, for each of the intent types, a respective output specification that specifies a respective recommended data visualization type. The device renders data analysis responsive to the request in accordance with the electronic device having the first device type.

A computing device generates a first set of glyphs from a first data set. Each glyph in the first set of glyphs represents the same set of user-selected columns in a first row of the plurality of rows in the data set. For each glyph in the first set of glyphs, the computing device defines a set of marks to be displayed. Each mark is defined by one or more visual features, with a respective visual feature assigned to each column of the user-selected columns. Each visual feature is displayed with a visual property determined based on a data value in the first row for the respective column. A user specifies a specific visual feature for a first mark from the first set of glyphs. The computing device generates a second set of glyphs. Each glyph in the second set of glyphs includes a mark with the specific visual feature.

Glyph scaffolds for generating unique glyphs to use as data marks in data visualizations

An electronic device has one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. The device receives a request directed to a data source. The request includes one or more intent types and one or more predefined attributes associated with the intent types. Each of the predefined attributes limits a respective data analysis operation of a respective intent type. In response to the request, for each of the intent types, the device formulates a respective intent specification according to the request. The device also applies one or more respective rules corresponding to the respective intent type to determine whether the respective intent type is ambiguous and/or underspecified. When the respective intent type is ambiguous and/or underspecified, the device infers information to resolve the ambiguous and/or underspecified intent.

Applying a visual analytics intent language to infer ambiguous or underspecified intent

An electronic device running a first application has one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. The device downloads, from a server system, a visual analytics intent library, which is configured to execute across a plurality of applications, including the first application. The device configures the library to execute on the device based on the device running the first application. After the configuring, the device receives a request directed to a data source. The request includes one or more intent types and one or more predefined attributes associated with the one or more intent types. In accordance with the request, for each of the intent types, the device formulates a respective intent specification according to the library. It also determines one or more respective properties of the respective intent specification according to the respective predefined attributes.

Implementing a visual analytics intent language across multiple devices

An electronic device has one or more processors, and memory. The memory stores one or more programs configured for execution by the one or more processors. The electronic device receives a request directed to a data source. The request includes one or more intent types and one or more predefined attributes associated with the intent types. Each of the predefined attributes limits a respective data analysis operation of a respective intent type. In response to the request, for each of the intent types, the electronic device formulates a respective intent specification according to the request, including determining respective properties of the respective intent specification. The electronic device also generates a respective output specification. The respective output specification includes a respective recommended data visualization type. The respective output specification also includes respective data visualization parameters that specify how to render a data visualization of the respective recommended data visualization type.

Growing community of inventors

Seattle, WA, United States of America

Matthew Michael Brehmer