pulumi-google-native-kotlin/com.pulumi.googlenative.dataplex.v1.kotlin.outputs/GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse

data class GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse(val average: Double, val max: String, val min: String, val quartiles: List<String>, val standardDeviation: Double)

The profile information for an integer type field.

Constructors

GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse

fun GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfoResponse(average: Double, max: String, min: String, quartiles: List<String>, standardDeviation: Double)

Types

object Companion

Properties

val average: Double

Average of non-null values in the scanned data. NaN, if the field has a NaN.

val max: String

Maximum of non-null values in the scanned data. NaN, if the field has a NaN.

val min: String

Minimum of non-null values in the scanned data. NaN, if the field has a NaN.

val quartiles: List<String>

A quartile divides the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. Here, the quartiles is provided as an ordered list of quartile values for the scanned data, occurring in order Q1, median, Q3.

standardDeviation

val standardDeviation: Double

Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.