Cloud Dataplex v1 API - Class DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo (3.1.0)

public sealed class DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo : IMessage<DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo>, IEquatable<DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo>, IDeepCloneable<DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo>, IBufferMessage, IMessage

Reference documentation and code samples for the Cloud Dataplex v1 API class DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo.

The profile information for an integer type field.

Inheritance

object > DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo

Namespace

Google.Cloud.Dataplex.V1

Assembly

Google.Cloud.Dataplex.V1.dll

Constructors

IntegerFieldInfo()

public IntegerFieldInfo()

IntegerFieldInfo(IntegerFieldInfo)

public IntegerFieldInfo(DataProfileResult.Types.Profile.Types.Field.Types.ProfileInfo.Types.IntegerFieldInfo other)
Parameter
Name Description
other DataProfileResultTypesProfileTypesFieldTypesProfileInfoTypesIntegerFieldInfo

Properties

Average

public double Average { get; set; }

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

Property Value
Type Description
double

Max

public long Max { get; set; }

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

Property Value
Type Description
long

Min

public long Min { get; set; }

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

Property Value
Type Description
long

Quartiles

public RepeatedField<long> Quartiles { get; }

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 approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

Property Value
Type Description
RepeatedFieldlong

StandardDeviation

public double StandardDeviation { get; set; }

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

Property Value
Type Description
double