lib/element_numbers/8000/en_8532.rb in experian-data-dictionary-1.4.4 vs lib/element_numbers/8000/en_8532.rb in experian-data-dictionary-1.4.5
- old
+ new
@@ -1,25 +1,28 @@
module Experian
class DataDictionary
-
# Buys By TV & Buys By TV Propensity, Self reported data
def self.en_8532_column_name
'Buys By TV & Buys By TV Propensity, Self reported data'
end
- def self.en_8532_value_description(key); ''; end
+ def self.en_8532_value_description(_key)
+ ''
+ end
def self.en_8532_description
'Z buys by TV & buys by TV propensities indicates a household has self reported to purchase via television. BehaviorBank Household Indicators groups similar self-reported elements into slightly broader categories. Propensities are created with sophisticated analytical models based solely on self-reported data to predict households that are likely to exhibit the same behaviors. We supplement Behavior Bank Indicators with propensities for those records where self-reported data is not available to maximize coverage and response. The propensity codes rank living units from 1 to 9 using individual, living unit and area level demographics. Field values beginning with 1 indicate the strongest probability.'
end
# Buys By TV & Buys By TV Propensity, Quick Predict Code
def self.en_8532p_column_name
'Buys By TV & Buys By TV Propensity, Quick Predict Code'
end
- def self.en_8532p_value_description(key); ''; end
+ def self.en_8532p_value_description(_key)
+ ''
+ end
def self.en_8532p_description
'Z buys by TV & buys by TV propensities indicates a household has self reported to purchase via television. BehaviorBank Household Indicators groups similar self-reported elements into slightly broader categories. Propensities are created with sophisticated analytical models based solely on self-reported data to predict households that are likely to exhibit the same behaviors. We supplement Behavior Bank Indicators with propensities for those records where self-reported data is not available to maximize coverage and response. The propensity codes rank living units from 1 to 9 using individual, living unit and area level demographics. Field values beginning with 1 indicate the strongest probability.'
end
@@ -36,17 +39,16 @@
'5' => 'Likely to purchase via television',
'6' => 'Somewhat Unlikely to purchase via television',
'7' => 'Very Unlikely to purchase via television',
'8' => 'Highly Unlikely to purchase via television',
'9' => 'Extremely Unlikely to purchase via television',
- '0' => 'Unknown / Not Attempted',
+ '0' => 'Unknown / Not Attempted'
}
- return 'Unknown' if key.size != 2 or code[key[1]].nil? or charity[key[0]].nil?
+ return 'Unknown' if key.size != 2 || code[key[1]].nil? || charity[key[0]].nil?
[code[key[1]], charity[key[0]]].join(' - ')
end
def self.en_8532p(key)
Experian::DataDictionary.en_8532(key)
end
-
end
end