Numerical Outlier Detection

Exposes any numerical outliers within your dataset for a specific field. This template utilizes Z-score or Median Absolute Deviation (MAD) to help discover any numerical data that might be considered an outlier.

Input Requirements

• A data file with numeric fields in which you'd like to run analysis on. (Purchase orders, invoices, expense reports, journal entries, etc.).

• Parameters

  1. Outlier Individual Z-Score: Z-Score Bound: Z-score in which if exceeded you would consider a number to be an outlier

  2. File Input Parameters

Output Expectations

• An identification of numerical outliers within your population dataset.