Accuracy Checks¶
Accuracy checks validate statistical properties of numeric columns to ensure values fall within expected ranges and meet business expectations.
Follow these best practices for accuracy checks:
Set meaningful thresholds based on historical patterns in your data.
Configure both
Minimum
andMaximum
checks where applicable to catch anomalies in both directions.Use standard deviation checks to identify statistical outliers.
Consider seasonality when setting thresholds for business metrics.
Update thresholds periodically as business conditions evolve.
Available Metrics¶
Minimum / Maximum: Validates value boundaries within acceptable ranges.
Average: Ensures mean values meet business expectations.
Sum: Validates aggregate totals for financial or quantity data.
Standard Deviation: Monitors data distribution consistency.
Variance: Tracks statistical variance within acceptable bounds.
Configuration Examples¶
Check Description |
Configuration Steps |
Example Check |
---|---|---|
Ensure product prices are positive |
|
|
Validate reasonable customer ages |
|
|
Ensure average order value is within normal range |
|
|