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    Dynamically adjusted scale labels for displayed chart
    4.
    发明授权
    Dynamically adjusted scale labels for displayed chart 有权

    公开(公告)号：US10275911B2

    公开(公告)日：2019-04-30

    申请号：US15198874

    申请日：2016-06-30

    Applicant: salesforce.com, inc.

    Inventor： Yuseung Kim ,  Anwesha Samanta

    IPC: G06F3/048 ,  G06T11/20

    Abstract: System, method, and computer product embodiments for proving a chart with dynamically-adjusted scale labels are described. A graphical user interface (GUI) generates a chart to display a set of data within a display area. The chart includes a plurality of x-axis scale labels to indicate a scale on the x-axis of the chart. The GUI reduces a distance between adjacent x-axis scale labels from the plurality of x-axis scale labels, responsive to detecting a command that re-renders the chart and that reduces the distance between adjacent x-axis scale labels. When the GUI determines that the distance is within a threshold, the GUI increases the distance by rotating each x-axis scale label towards a vertical orientation. Then, the GUI displays the set of data and the plurality of rotated x-axis scale labels within the chart as re-rendered according to the command.

    Trellis chart scaling
    6.
    发明授权
    Trellis chart scaling 有权

    公开(公告)号：US10198836B2

    公开(公告)日：2019-02-05

    申请号：US15468714

    申请日：2017-03-24

    Applicant: salesforce.com, inc.

    Inventor： Yuseung Kim ,  Anwesha Samanta

    IPC: G06T11/20 ,  G06F17/30

    Abstract: A non-transitory tangible computer readable medium containing instructions configured to cause one or more processors to execute a process. The process comprises analyzing a dataset to determine a number of variables and one or more types of variables associated with the dataset. One or more processors remove a number of predefined discrete grouping variables from the number of variables associated with the dataset and produces a set of remaining variables. The one or more processors select a chart type based on the number of variables and the one or more types of variables associated with the set of remaining variables and generate one or more charts depicting the dataset. The number of charts generated corresponds to the number of data points associated with the predefined discrete grouping variables.

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