# Class KMapEstimationResult (3.38.0)

3.38.0 (latest) 3.37.0 3.35.0 3.34.0 3.33.0 3.32.0 3.31.0 3.30.0 3.29.0 3.28.0 3.27.0 3.26.0 3.25.1 3.24.0 3.23.0 3.22.0 3.20.0 3.19.0 3.18.1 3.17.0 3.16.0 3.15.3 3.14.0 3.13.0 3.12.3 3.11.1 3.10.1 3.9.2 3.8.1 3.7.1 3.6.2 3.5.0 3.4.0 3.3.1 3.2.4 3.1.1 3.0.1 2.0.2 1.0.2 0.15.2 0.14.0 0.13.0 0.12.1

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

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

| ## Attribute ||
|---|---|
| **Name** | **Description** |
| `k_map_estimation_histogram` | `MutableSequence[https://docs.cloud.google.com/python/docs/reference/dlp/latest/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. |

## Classes

### KMapEstimationHistogramBucket

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

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.

### KMapEstimationQuasiIdValues

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

A tuple of values for the quasi-identifier columns.