If a consistent level of bias is detected in the data, it can be adjusted accordingly during data review and approval. We also can correct individual outliers and estimate their correct values from surrounding data and observed hydraulic patterns. Outliers can adversely affect engineering metrics and calculations, and they are reviewed and corrected whenever possible. We often refer to these processes as Data Review, Data Editing, and Data Approval.
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