Class AnalyzeDataSourceRiskDetails (3.2.4)

AnalyzeDataSourceRiskDetails(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Result of a risk analysis operation request. .. attribute:: requested_privacy_metric

Privacy metric to compute.

Attributes
Name	Description
`requested_source_table`	`google.cloud.dlp_v2.types.BigQueryTable` Input dataset to compute metrics over.
`numerical_stats_result`	`google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.NumericalStatsResult` Numerical stats result
`categorical_stats_result`	`google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.CategoricalStatsResult` Categorical stats result
`k_anonymity_result`	`google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.KAnonymityResult` K-anonymity result
`l_diversity_result`	`google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.LDiversityResult` L-divesity result
`k_map_estimation_result`	`google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.KMapEstimationResult` K-map result
`delta_presence_estimation_result`	`google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.DeltaPresenceEstimationResult` Delta-presence result
`requested_options`	`google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.RequestedRiskAnalysisOptions` The configuration used for this job.

Classes

CategoricalStatsResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Result of the categorical stats computation. .. attribute:: value_frequency_histogram_buckets

Histogram of value frequencies in the column.

DeltaPresenceEstimationResult(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Result of the δ-presence computation. Note that these results are an estimation, not exact values.

KAnonymityResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Result of the k-anonymity computation. .. attribute:: equivalence_class_histogram_buckets

Histogram of k-anonymity equivalence classes.

KMapEstimationResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Result of the reidentifiability analysis. Note that these results are an estimation, not exact values.

LDiversityResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Result of the l-diversity computation. .. attribute:: sensitive_value_frequency_histogram_buckets

Histogram of l-diversity equivalence class sensitive value frequencies.

NumericalStatsResult(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Result of the numerical stats computation. .. attribute:: min_value

Minimum value appearing in the column.

RequestedRiskAnalysisOptions(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

Risk analysis options. .. attribute:: job_config

The job config for the risk job.