Class: Google::Apis::DataplexV1::GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfo

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 a double type field.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfo

Returns a new instance of GoogleCloudDataplexV1DataProfileResultProfileFieldProfileInfoDoubleFieldInfo.



2158
2159
2160
 
# File 'lib/google/apis/dataplex_v1/classes.rb', line 2158

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) 


2124
2125
2126
 
# File 'lib/google/apis/dataplex_v1/classes.rb', line 2124

def average
  @average
end

#max ⇒ Float

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:

  • (Float) 


2130
2131
2132
 
# File 'lib/google/apis/dataplex_v1/classes.rb', line 2130

def max
  @max
end

#min ⇒ Float

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:

  • (Float) 


2136
2137
2138
 
# File 'lib/google/apis/dataplex_v1/classes.rb', line 2136

def min
  @min
end

#quartiles ⇒ Array<Float>

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. Corresponds to the JSON property quartiles

Returns:

  • (Array<Float>) 


2150
2151
2152
 
# File 'lib/google/apis/dataplex_v1/classes.rb', line 2150

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) 


2156
2157
2158
 
# File 'lib/google/apis/dataplex_v1/classes.rb', line 2156

def standard_deviation
  @standard_deviation
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



2163
2164
2165
2166
2167
2168
2169
 
# File 'lib/google/apis/dataplex_v1/classes.rb', line 2163

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