> For the complete documentation index, see [llms.txt](https://docs.upriverdata.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.upriverdata.com/monitoring/field-behavior-monitoring.md). # Field Behavior Monitoring ## Overview Upriver provides a wide variety of monitors that are automatically set for every field in the data source. Users can also define custom monitors using Upriver's `Customer Metrics` (see [Custom Metrics](/monitoring/custom-metrics.md)). For all of the monitored metrics, Upriver automatically sets the threshold expectations by analyzing the data and allows the users to set up thresholds on top of these values (see `User Exptations` in [Data Source Fields](/product-usage/data-assets/data-source/data-source-fields.md)). ## Monitored Metrics ### Field Metadata | Metric | Description | | ------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Completeness (%) | Percentage of rows where the field value is null or the field is not available (for semi-structured data). | | Default Value Completeness (%) |

Percentage of rows where the field value is null or the field is not available (for semi-structured data) when considering the default field value as empty.
e.g., the completeness when considering empty strings as null values.

| | Null Count | Count of rows where the field value is null or the field is not available (for semi-structured data). | | Non-null count | Count of rows where the field value is not null. | | Field Uniqueness (%) | Percentage of unique values for a specific fields. Calculated as `cardinality / row_count`. | | Row Uniqueness | Percentage of unique rows across all fields. | | Cardinality | Count of the different number of unique values seen for a given field. | ### Field Data Monitors
MetricDescriptionRelevant Field Type
MeanAverage value across all rows.Numeric
Standard DeviationStandard deviation of values across all rows.Numeric
Max ValueMaximum value across all rows.Numeric
Min ValueMinimum value across all rows.Numeric
PercentilesExpected value for the following percentiles:
0 - 10, 20, 30, 40, 50, 60, 70, 80, 90 - 100.		Numeric
SumSum of values across all rows.Numeric
String Length (mean)Average length across all rows.String
String Length (standard deviation)Standard deviation of lengths across all rows.String
String Length (max)Maximum string length across all rows.String
String Length (min)Minimum string length across all rows.String
String Length PercentilesExpected string lengths for the following percentiles:
0 - 10, 20, 30, 40, 50, 60, 70, 80, 90 - 100.		String
Array Size (mean)Average array size across all rows.Array
Array Size (standard deviation)Standard deviation of array sizes across all rows.Array
Array Size (max)Maximum array size across all rows.Array
Array Size (min)Minimum array size across all rows.Array
Array Size PercentilesExpected array sizes for the following percentiles:
0 - 10, 20, 30, 40, 50, 60, 70, 80, 90 - 100.		Array
Value distribution (Histogram)This is available only for categorical fields
The distribution between the different values seen for a given field.		Any
Semantic Format DistributionThe semantic formats seen for a given field (e.g. UUID, SSN, email, IP, etc.) and their percentage of rows in which the field adheres to each format.Numeric, String
### Setting expectations on fields To configure custom expectations per field, access "user expectations" from inside the main data source page.
Under user expectations, click on "+add expectations" to set a new one. Choose your field, a metric to monitor, and the custom values. Save.