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