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public static final class DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder extends GeneratedMessageV3.Builder<DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder> implements DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfoOrBuilderThe profile information for a double type field.
Protobuf type
google.cloud.dataplex.v1.DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Returns | |
|---|---|
| Type | Description |
Descriptor | |
Methods
addAllQuartiles(Iterable<? extends Double> values)
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder addAllQuartiles(Iterable<? extends Double> values)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.
repeated double quartiles = 6;
| Parameter | |
|---|---|
| Name | Description |
values | Iterable<? extends java.lang.Double>The quartiles to add. |
| Returns | |
|---|---|
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder | This builder for chaining. |
addQuartiles(double value)
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder addQuartiles(double value)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.
repeated double quartiles = 6;
| Parameter | |
|---|---|
| Name | Description |
value | doubleThe quartiles to add. |
| Returns | |
|---|---|
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder | This builder for chaining. |
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Parameters | |
|---|---|
| Name | Description |
field | FieldDescriptor |
value | Object |
| Returns | |
|---|---|
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder | |