Invention Grant
- Patent Title: Utilizing autocompletion as a data discovery scaffold for supporting visual analysis
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Application No.: US17010770Application Date: 2020-09-02
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Publication No.: US11868343B2Publication Date: 2024-01-09
- Inventor: Vidya Raghavan Setlur , Md Enamul Hoque Prince , Dae Hyun Kim , Angel Xuan Chang
- Applicant: Tableau Software, LLC
- Applicant Address: US WA Seattle
- Assignee: Tableau Software, LLC
- Current Assignee: Tableau Software, LLC
- Current Assignee Address: US WA Seattle
- Agency: Morgan, Lewis & Bockius LLP
- Main IPC: G06F16/332
- IPC: G06F16/332 ; G06F16/2452 ; G06F16/9032 ; G06F40/205 ; G06F16/904 ; G06F16/532

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.
Public/Granted literature
- US20210349950A1 Utilizing Autocompletion as a Data Discovery Scaffold for Supporting Visual Analysis Public/Granted day:2021-11-11
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