Class: Google::Cloud::Dataplex::V1::DataProfileResult::Profile::Field::ProfileInfo::DoubleFieldInfo

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/dataplex/v1/data_profile.rb

Overview

The profile information for a double type field.

Instance Attribute Summary collapse

Instance Attribute Details

#average ⇒ ::Float

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

Returns:

  • (::Float) —

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



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 257

class DoubleFieldInfo
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#max ⇒ ::Float

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

Returns:

  • (::Float) —

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



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 257

class DoubleFieldInfo
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#min ⇒ ::Float

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

Returns:

  • (::Float) —

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



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 257

class DoubleFieldInfo
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#quartiles ⇒ ::Array<::Float>

Returns 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.

Returns:

  • (::Array<::Float>) —

    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.



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 257

class DoubleFieldInfo
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#standard_deviation ⇒ ::Float

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

Returns:

  • (::Float) —

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



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# File 'proto_docs/google/cloud/dataplex/v1/data_profile.rb', line 257

class DoubleFieldInfo
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end