Result of the reidentifiability analysis. Note that these
results are an estimation, not exact values.
Attribute
Name
Description
k_map_estimation_histogram
MutableSequence[google.cloud.dlp_v2.types.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket]
The intervals [min_anonymity, max_anonymity] do not overlap.
If a value doesn't correspond to any such interval, the
associated frequency is zero. For example, the following
records: {min_anonymity: 1, max_anonymity: 1, frequency: 17}
{min_anonymity: 2, max_anonymity: 3, frequency: 42}
{min_anonymity: 5, max_anonymity: 10, frequency: 99} mean
that there are no record with an estimated anonymity of 4,
5, or larger than 10.
A KMapEstimationHistogramBucket message with the following values:
min_anonymity: 3 max_anonymity: 5 frequency: 42 means that there are
42 records whose quasi-identifier values correspond to 3, 4 or 5
people in the overlying population. An important particular case is
when min_anonymity = max_anonymity = 1: the frequency field then
corresponds to the number of uniquely identifiable records.