Abstract: A computing device displays a user interface for a data preparation application, including a flow pane that visually represents a data preparation flow and a plurality of icons in a flow element palette. Using a feature/version matrix, the device determines that (i) a first subset of parameterized operations represented by a first subset of icons is not supported by the data preparation server application according to a version number of the data preparation server application and (ii) a second subset of parameterized operations represented by a second subset of icons is supported by the data preparation server application. The device provides a first indication that the parameterized operations represented by the icons in the first subset are unavailable to be inserted into the data preparation flow and displays a visual indication that each of the icons in the second subset is available to be inserted.

Abstract: A method incorporates data visualization into conversational interfaces. The method receives a user input specifying a natural language command via a conversational interface. The method analyzes the natural language command to determine the type of question. The method also obtains a user preference for viewing responses based on text and/or visualizations. When the user preference includes visualizations and the type of question is answerable using data visualizations, the method: (i) extracts one or more independent analytic phrases from the natural language command; (ii) queries a database using a set of queries based on the extracted analytic phrases, thereby retrieving a data set; and (iii) generates and displays, in the conversational interface, a response incorporating one or more data visualizations, based on the type of question, using the data set.

Abstract: Embodiments are directed to managing data visualizations. A primary visualization that is associated with a data model may be provided such that the primary visualization may be displayed in a display panel. Insight items may be generated based on the primary visualization and the data model such that the insight items may correspond to one or more visualizations that may share one or more portions of the data model and such that the insight items may be displayed in an insight panel. In response to an insight item being selected from the insight panel, additional actions may be performed, including: generating a visualization based on the insight item that is displayed in the display panel instead of the primary visualization; and generating a scratch item that includes a thumbnail view of the primary visualization such that the thumbnail view is displayed in a scratch panel.

Abstract: At a computer system a graphical user interface is displayed on a display. The graphical user interface includes (a) a schema region displaying data field icons, each data field icon representing a respective data field from a user-selected data source, and (b) a canvas region. In response to receiving user input selecting a data field icon from the schema region and placing it on the canvas region, a block card is displayed on the canvas region. The block card includes user interface affordances to designate (i) a layout type that specifies a row-based arrangement, a column-based arrangement, or an inline arrangement, (ii) a mark type that specifies a shape for visual data marks, and (iii) one or more visual encodings. A data visualization for the data source is generated and displayed according to the layout type, the mark type, and the visual encodings specified on the block card.

Abstract: Embodiments are directed to automated investigation of regression or other defects. A time-series of values for a metric associated with an execution of a verification action for a service may be provided. If a metric value in the time-series of values is outside of a control range, further actions may be performed, including: determining a last valid version of the service based on the time-series of values; determining a first invalid version of the service based on the time-series of values; determining changes associated with differences between the last valid version of the service and the first invalid version of the service based on the time-series of values; determining responsible users based on the determined changes; and generating a defect report based on the changes and the metric value that is outside of the control range such that the responsible users are associated with the defect report.

Abstract: A method utilizes data discovery to support visual analysis of datasets. A user selects a data source, and the method presents a natural language interface for analysis of the data source. A user specifies an incomplete natural language command directed to the data source, and the method correlates words in the incomplete natural language command with a data field in the data source. The method determines the data type of the data field and a range of data values for the data field. According to the data type and the range of data values, the method presents one or more autocompletion options for the incomplete natural language command. Each option includes respective text and a respective corresponding visual graphic. The user selects one of the autocompletion options, and the method forms a complete natural language command. The method then displays a data visualization according to the complete natural language command.

Abstract: This application is directed to matching edges of polygons representing neighboring regions in a map user application. A computer system obtains a first polygon and a second polygon, and the second polygon is connected to the first polygon via polygon edges that are at least partially mismatched. Automatically and without user intervention, the computer system combines the first polygon and the second polygon to form a joined polygon defined by an outline of the first polygon and the second polygon. A region defined by the second polygon is subtracted from a region defined by the joined polygon to form a new region. The computer system defines an updated first polygon as an outline of the new region and renders, on a screen, the updated first polygon and the second polygon with matching edges.

Abstract: A computing device has a display, one or more processors, and memory. The memory stores one or more programs configured for execution by the one or more processors. The computing device receives, via a first region of a graphical user interface, a first natural language input related to a data source. The first natural language input includes one or more terms. In response to receiving the first natural language input, computing device generates one or more interpretations for the first natural language input, including: determining a first term of the one or more terms that is excluded from the one or more interpretations, and visually de-emphasizing the first term in the first region.

Abstract: A user interface displays: a first column comprising non-editable input strings retrieved from a data field; a second column comprising editable output strings initialized from the data field; and an expression window displaying a transformation function ƒ. The computer iteratively processes user inputs, each user input i providing a sample row transformation to edit an ith output string ti. Some user inputs i designate a contiguous substring ssi of the corresponding input string si. The contiguous substring expresses a causal basis for transforming the input string si. into the output string ti. The computer updates the transformation function ƒ according to the provided sample row transformations so that: ƒ(s1)=t1, . . . , ƒ(si)=ti; the transformation function ƒ specifies text or string position of at least one contiguous substring; and ƒ has minimal branching among possible transformation functions that satisfy the samples.

Abstract: Embodiments are directed to visualizing data using a graphical user interface (GUI) that may include a graph panel and a visualization panel arranged to receive inputs or interactions. A data model may be provided and displayed in the visualization panel. Input information that specifies portions of the data model may be provided to the visualization panel. Transform models may be determined based on the specified portions of the data model such that the determined transform models include a model interface that accepts the input information. The transform models may be employed to generate graph objects based on the data model, the input information such that the graph objects may be included in a graph model. Queries based on the graph model may be executed to provide results from the data model such that the results may be displayed in a visualization.

Abstract: A method generates data visualizations. A device receives a first user input to specify a natural language command directed to a data source. The natural language command includes a first keyword that is a gradable adjective that modifies a second keyword in the natural language command. The device identifies a numerical data field, from the data source, whose field name co-occurs with the first keyword in natural language utterances in a predefined stored corpus of natural language utterances, based on quantifying co-occurrence using a co-occurrence metric. The device computes a numerical range for values of the numerical data field based on correlation of sentiment polarity of the first keyword and the field name of the numerical data field. The device then generates a data visualization for the data source, based on filtering rows of data from the data source according to the numerical range for the numerical data field.

Abstract: The various implementations described herein include methods and devices for constructing phrases for data visualizations. In one aspect, a method includes presenting a data visualization page to a user including a visualization region and a phrase region; obtaining a dataset including a plurality of fields; displaying a phrase affordance for constructing a phrase; in response to a user selection of the phrase affordance, presenting a phrase construction menu including a set of fields; in response to a user selection of a field, presenting a set of aggregation operators selected based on a field type of the field; in response to a user selection of an aggregation operator, generating a first phrase using the selected field and the selected aggregation operator; presenting a data visualization generated using the first phrase; and displaying the first phrase as an active phrase in the phrase region.

Abstract: A computer system receives from a messaging system a first input commencing an analytic conversation between the computer system and an electronic device. The messaging system is communicatively connected with the electronic device and executes a messaging application on the electronic device. The computer system identifies a data source corresponding to the analytic conversation. The computing system receives from the messaging system a second input specifying a natural language command related to the data source. The computer system generates an interpretation corresponding to the natural language command and queries the data source according to the interpretation. The computer system generates a first data visualization using a first subset of data fields from the data source and sends a first representation of the first data visualization to the messaging system, for display on the electronic device.

Abstract: A computing device displays a data visualization user interface that includes a schema region. Each data field displayed in the schema region is visually associated with a respective data object of a plurality of data objects in an object model. The device receives user input to specify a mathematical expression that includes a first data field from a first object and a second data field from a second object. The first object and the second object are distinct objects in the object model. The device generates a calculated data field based on the mathematical expression. The device assigns the calculated data field as a member of a third object in the object model according to relations in the object model connecting the first object to the second object. The device displays the calculated data field, in the schema region, visually associated with the third object.

Abstract: A computing device displays, in a graphical user interface, a data visualization and a plurality of phrases that collectively define the data visualization. The device receives user input to specify a natural language command related to the data visualization. The device determines that the natural language command includes a metacommand to: (1) add a data field to the data visualization, or (2) remove a data field from the data visualization, or (3) replace a data field in the data visualization with another data field. The device determines one or more proposed actions in accordance with the determined metacommand and ranks the proposed actions. The device receives user selection of a first proposed action. In response to the user selection, the device generates and displays an updated data visualization and one or more updated phrases that collectively define the updated data visualization.

Abstract: A computing device displays an initial data visualization according to an initial visual specification that specifies a data source, visual variables, and data fields from the data source. The computing device receives a natural language command that includes a request for information from the data source. The computing device extracts one or more first keywords and determines, based on the first keywords and one or more of (i) the data source, (ii) the visual variables, and/or (iii) the data fields of the initial visual specification, that the request does not directly specify a characteristic in the initial visual specification. The computing device generates a modified visual specification. The computing device generates one or more queries based on the modified visual specification. The computing device executes the one or more queries to retrieve data for a modified data visualization. The computing device generates and displays the modified data visualization.

Abstract: Embodiments are directed to managing visualizations. Visualizations based on data from a data source may be provided. Assessment models based on the visualizations may be provided such that the assessment models may detect mirages in the visualizations. Assessment models may be employed to determine Assessment results based on the visualizations and the data from the data source such that each assessment result includes an assessment score that corresponds to a detection of mirages. Assessment results may be rank ordered based on the assessment score. A report may be provided that includes the rank ordered list of the assessment results.

Abstract: A computer validates relationships between object classes in object models. The computer detects user input to join a first object class and a second object class corresponding to user-selected object icons. The computer also detects user selection of a first linking field from a plurality of data fields for the first object class and user selection of a second linking field from a plurality of data fields for the second object class. In response, the computer generates a relationship that connects the first object class and the second object class according to shared data values of the first linking field and the second linking field and displays a relationship summary, including information regarding cardinality of the relationship and information regarding referential integrity of the relationship. The computer also displays a visual connection between the user-selected object icons representing the first and second object classes.

Abstract: Embodiments are directed to managing sandboxed application extensions. A first request that include includes information that identifies an extension may be provided to an extension server. Information included in a first response may be employed to instantiate an extension shell that corresponds to the extension and embed it in the hosting application such that the extension shell is associated with a first security policy included in the first response. A second request may be provided to the extension server based on information included in the extension shell such that the second request includes an identifier associated with an extension body that corresponds to the extension shell. The first security policy or the second security policy may be employed to enable one or more of the extension shell or the extension body to just access the hosting application or just access the extension server.

Abstract: A computing device displays an initial data visualization according to an initial visual specification that specifies a data source, visual variables, and data fields from the data source. The computing device receives a natural language command that includes a user request for information from the data source. The computing device identifies one or more keywords from the natural language command and determines, based on the keywords and one or more of (i) the data source, (ii) the visual variables, and/or (iii) the data fields of the initial visual specification, that the request indirectly specifies a first visual characteristic in the initial visual specification. The computing device generates one or more queries in accordance with the determining. The computing device executes the queries to retrieve data for a modified data visualization. The computing device generates and displays the modified data visualization.