Package com.google.cloud.dataplex.v1

Interface DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfoOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo, DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder
Enclosing class:
DataProfileResult.Profile.Field.ProfileInfo
public static interface DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfoOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    double
    getAverage()
    Output only.
    double
    getMax()
    Output only.
    double
    getMin()
    Output only.
    double
    getQuartiles(int index)
    Output only.
    int
    getQuartilesCount()
    Output only.
    List<Double>
    getQuartilesList()
    Output only.
    double
    getStandardDeviation()
    Output only.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getAverage

      double getAverage()
       Output only. Average of non-null values in the scanned data. NaN,
 if the field has a NaN.
      double average = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The average.

    • getStandardDeviation

      double getStandardDeviation()
       Output only. Standard deviation of non-null values in the scanned
 data. NaN, if the field has a NaN.
      double standard_deviation = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The standardDeviation.

    • getMin

      double getMin()
       Output only. Minimum of non-null values in the scanned data. NaN,
 if the field has a NaN.
      double min = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The min.

    • getQuartilesList

      List<Double> getQuartilesList()
       Output only. 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 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      A list containing the quartiles.

    • getQuartilesCount

      int getQuartilesCount()
       Output only. 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 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The count of quartiles.

    • getQuartiles

      double getQuartiles(int index)
       Output only. 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 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Parameters:
      index - The index of the element to return.
      Returns:
      The quartiles at the given index.

    • getMax

      double getMax()
       Output only. Maximum of non-null values in the scanned data. NaN,
 if the field has a NaN.
      double max = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];
      Returns:
      The max.