Class: Google::Apis::DataplexV1::GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfo

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/dataplex_v1/classes.rb,
lib/google/apis/dataplex_v1/representations.rb,
lib/google/apis/dataplex_v1/representations.rb

Overview

The profile information for an integer type field.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfo

Returns a new instance of GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoIntegerFieldInfo.



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# File 'lib/google/apis/dataplex_v1/classes.rb', line 3178

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#average ⇒ Float

Output only. Average of non-null values in the scanned data. NaN, if the field has a NaN. Corresponds to the JSON property average

Returns:

  • (Float) 


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# File 'lib/google/apis/dataplex_v1/classes.rb', line 3144

def average
  @average
end

#max ⇒ Fixnum

Output only. Maximum of non-null values in the scanned data. NaN, if the field has a NaN. Corresponds to the JSON property max

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/dataplex_v1/classes.rb', line 3150

def max
  @max
end

#min ⇒ Fixnum

Output only. Minimum of non-null values in the scanned data. NaN, if the field has a NaN. Corresponds to the JSON property min

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/dataplex_v1/classes.rb', line 3156

def min
  @min
end

#quartiles ⇒ Array<Fixnum>

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 approximate quartile values for the scanned data, occurring in order Q1, median, Q3. Corresponds to the JSON property quartiles

Returns:

  • (Array<Fixnum>) 


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# File 'lib/google/apis/dataplex_v1/classes.rb', line 3170

def quartiles
  @quartiles
end

#standard_deviation ⇒ Float

Output only. Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN. Corresponds to the JSON property standardDeviation

Returns:

  • (Float) 


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# File 'lib/google/apis/dataplex_v1/classes.rb', line 3176

def standard_deviation
  @standard_deviation
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/dataplex_v1/classes.rb', line 3183

def update!(**args)
  @average = args[:average] if args.key?(:average)
  @max = args[:max] if args.key?(:max)
  @min = args[:min] if args.key?(:min)
  @quartiles = args[:quartiles] if args.key?(:quartiles)
  @standard_deviation = args[:standard_deviation] if args.key?(:standard_deviation)
end