Using Semantic Alignment to Present Time Series Metrics

    公开(公告)号:US20240078254A1

    公开(公告)日:2024-03-07

    申请号:US18102678

    申请日:2023-01-27

    CPC classification number: G06F16/287 G06F16/2477

    Abstract: 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.

    Authoring Data Stories with Generative AI
    2.
    发明公开

    公开(公告)号:US20240362405A1

    公开(公告)日:2024-10-31

    申请号:US18419460

    申请日:2024-01-22

    CPC classification number: G06F40/166 G06F40/137

    Abstract: A computing device receives user interaction with a portion of a data visualization that is displayed on the computing device. In response to receiving the user interaction, the computing device generates a first prompt that includes (i) a first parameter specifying a visualization type of the data visualization, (ii) a second parameter specifying a data array corresponding to data marks of the data visualization, and (iii) a third parameter specifying a title of the data visualization. The computing device inputs the first prompt into a large language model (LLM) and obtains, from the LLM, a text narrative for the portion of the data visualization. The device generates a second prompt in accordance with the text narrative, inputs the second prompt into the LLM, and obtains from the LLM a title for the text narrative. The device generates a self-contained story based on the text narrative and the title.

    Using Semantic Alignment and Contextual Recommendations to Present Time Series Metrics

    公开(公告)号:US20240078727A1

    公开(公告)日:2024-03-07

    申请号:US18102609

    申请日:2023-01-27

    Abstract: 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.

    Semantic Search Interface for Data Repositories

    公开(公告)号:US20240338378A1

    公开(公告)日:2024-10-10

    申请号:US18427799

    申请日:2024-01-30

    CPC classification number: G06F16/248 G06F16/243 G06F16/24578 G06F16/256

    Abstract: A method provides visual analysis of datasets. A system receives a natural language search query that is directed to data repositories including data sources and data visualizations. The system parses search tokens to determine if the natural language search query contains analytic intents. The system also determines if the search tokens match fields in one or more data sources, using a semantic search. When (i) the search tokens match fields in the one or more data sources and (ii) the natural language search query contains analytic intents, the system generates and displays visualization responses. When (i) the search tokens do not match fields in the data sources or (ii) the natural language search query does not contain the analytic intents, the system displays pre-authored content from the data visualizations.

    Using Contextual Recommendations to Present Time-Series Metrics

    公开(公告)号:US20240077999A1

    公开(公告)日:2024-03-07

    申请号:US18102586

    申请日:2023-01-27

    CPC classification number: G06F3/04847 G06F3/0482

    Abstract: 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.

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