Editing history data to filter outliers

Using the History Editor view you can review and modify collected history data for purposes of filtering unusual or “outlier” values. Outliers are known to skew means or averages, so it may be helpful to identify and edit or hide this data.
Prerequisites: The station has existing histories in the station History space.
  1. In the Nav tree, under the station’s History space, right-click on a history and select Views > History Editor.
  2. In the History Editor view, select one or more histories and click the Configure Outliers icon in the Workbench toolbar (upper right corner), as shown here.
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  3. In the Configure Outliers window, click the check box (far left) to enable outlier filtering, and configure the following values to define the intensity of the search for outliers:
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    • Window size — enter an integer to specify the number of surrounding data points to consider when determining whether a given point is an outlier (or use the default value).
    • Percent of Std Deviation — enter a value in this property to specify the percent of standard deviation which is calculated from the window of points (or use the default value).
  4. Click OK.
If the value of a selected record falls outside of the valid range, then it is considered to be an outlier and its value is replaced by the linear interpolation of the surrounding 2 valid points.
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After outliers are configured you can click Select Outliers to select all records with outlier values and then either Hide the data (click Image the toolbar Hide Selected Records icon) or configure filters (click Image the Configure Filters toolbar icon) to remove the outlier values from the history, as shown here.
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