Filtering data with the raw data filter

The raw data filter removes numeric-value records based on configured low and high limits. Then, a missing-data strategy, such as linear interpolation, creates new values for the filtered records. Values that are too low or too high can skew analytic results making them unusable. Use of this filter removes the outliers so that future data analysis returns more realistic results.
Prerequisites: Latest version of Niagara
  1. Expand Config > Services > AnalyticService and double-click Definitions.
    The Analytic Data Manager view opens.
  2. To add a definition, click the New button.
    The New window opens.
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    The Raw Data Filter is located below the outlier property.

  3. Enter a name for the definition and configure all relevant properties.
  4. To edit the high and low limits, click to remove the null check marks, and enter appropriate values.
    A check mark in a null check box disables the related limit. Removing the null check mark enables the limit.

    If you only set the high limit, the filter only discards records with values above the limit (exclusive).

    If you only set the low limit, the filter only discards records with values below the limit (exclusive).

    If you set both limits, the filter discards records with values above and below the defined limits (exclusive).

You can also configure the Raw Data Filter limits using the Data Definition Property Sheet (double-click Config > Services > AnalyticService > Definitions, right-click the definition, and click Views > Property Sheet).