Tableau Software, Inc.

Jeffrey Ericson

Vidya Raghavan Setlur

Alex Djalali

Theodore Kornish

Suyang Duan

Sanaz Golbabaei

Eliana Leite Goldner

Ryan Andrew Atallah

An Shi

Christoph Sachse

Hao Zhuang

Christopher Shawn Suley

A method executes at a computing device that includes a display, one or more processors, and memory. The device displays a data visualization based on a dataset retrieved from a database. The device also displays one or more first phrases in a first region. The first phrases define the data visualization. The device receives a first user input in a second region to specify a natural language command related to the displayed data visualization. In response to the first user input, the device displays one or more proposed actions. The device receives user selection of a first proposed action of the proposed actions. In response to the user selection, the device generates an updated data visualization. The device displays the updated data visualization and displays a plurality of second phrases in the first region. The second phrases define the updated data visualization.

Using refinement widgets for data fields referenced by natural language expressions in a data visualization user interface

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.

Incremental updates to natural language expressions in a data visualization user interface

A method executes at a computing device that includes a display, one or more processors, and memory. The method includes receiving user input to specify a data source. The method includes receiving a first user input in a first region of a graphical user interface to specify a natural language command related to the data source. The device determines, based on the first user input, that the natural language command includes a table calculation expression. In accordance with the determination, the method identifies a second data field in the data source, Values of the first data field are aggregated for each of the time periods in a range of dates according to the second data field. A respective difference between the aggregated values for each consecutive pair of time periods is computed. A data visualization is generated and displayed.

Using natural language expressions to define data visualization calculations that span across multiple rows of data from a database

A method is performed at a computing device that includes a display, one or more processors, and memory. The device displays a data visualization based on a dataset retrieved from a database. It also displays one or more phrases in a first region. The phrases define the data visualization. The device receives user input in a second region to specify a natural language command related to the displayed data visualization. In response to the user input, the device extracts independent analytic phrases from the command, determines one or more proposed actions based on the extracted phrases, and displays the proposed actions. The device receives user selection of a first proposed action. In response, the device generates an updated data visualization. It displays the updated data visualization and displays one or more updated phrases in the first region. The updated phrases define the updated data visualization.

A computing device displays a first data visualization that includes a first plurality of data marks. Each of the data marks corresponds to a respective distinct data value of a first data field from a dataset. In response to user selection of a first data mark that corresponds to a first data value of the first data field, the device displays a first data widget that includes one or more user-selectable affordances. In response to user selection of a first affordance of the affordances, the device displays a first drill down widget. The device receives user selection of a second data field from the dataset in the drill down widget. In response to the user selection, the device generates a second data visualization that includes a second plurality of data marks and displays the second data visualization.

Integrated drill down within a natural language interface for visual analysis

A computing device displays a first data visualization based on a dataset retrieved from a database. The dataset includes a first data field. The first data visualization includes a first plurality of data marks. The device receives user selection of a first data mark that corresponds to a first data value of the first data field. In response to the user selection, the device displays a first data widget that includes one or more user-selectable affordances. A user selects a first user-selectable affordance. In response to the user selection, the device displays a first drill down widget. User input in the first drill down widget selects a second data field from the dataset. In response to the user input, the device generates a second data visualization that includes a second plurality of data marks and displays the second data visualization.

Integrated drill down within a natural language interface for a data analysis platform

A method is performed at a computing device coupled with a display. The method includes displaying a graphical user interface on the display and analyzing a natural language input, received from a user, to identify a portion of the natural language input corresponding to a first phrase that includes a first term. The method further includes receiving, from the user, a second input that modifies the first term in the first phrase. In response to receiving the second input, the computing device updates a second phrase based on the second input. In response to updating the second phrase based on the second input, the computing device displays, on the graphical user interface, an updated natural language expression that comprises the modified first phrase and the updated second phrase and displays an updated data visualization representing the updated natural language expression.

Analyzing natural language expressions in a data visualization user interface

A method is performed at a computing device having a display, one or more processors, and memory. The device displays a graphical user interface on the display. A user provides a natural language input, which specifies a filter, including a first data field, a relation, and a first comparison value. The user then replaces the first data field in the filter with a second data field. In response to replacing the first data field, the device automatically replaces the first comparison value with a second comparison value. The second comparison value corresponds to the data type of the second data field. In some instances, the device also updates the relation based on the data type of the second data field. The device then displays an updated data visualization according to the updated filter.

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Menlo Park, CA, United States of America

Jeffrey Ericson