lib/element_numbers/8000/en_8537.rb in experian-data-dictionary-1.4.4 vs lib/element_numbers/8000/en_8537.rb in experian-data-dictionary-1.4.5

@@ -1,25 +1,28 @@
 module Experian
   class DataDictionary
-
     # Cats & Cats Propensity, Self reported data
     def self.en_8537_column_name
       'Cats & Cats Propensity, Self reported data'
     end
 
-    def self.en_8537_value_description(key); ''; end
+    def self.en_8537_value_description(_key)
+      ''
+    end
 
     def self.en_8537_description
       'Z cats & cats propensities indicates a household has self reported as cat enthusiasts. 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
 
     # Cats & Cats Propensity, Quick Predict Code
     def self.en_8537p_column_name
       'Cats & Cats Propensity, Quick Predict Code'
     end
 
-    def self.en_8537p_value_description(key); ''; end
+    def self.en_8537p_value_description(_key)
+      ''
+    end
 
     def self.en_8537p_description
       'Z cats & cats propensities indicates a household has self reported as cat enthusiasts. 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 cat enthusiast',
         '6' => 'Somewhat Unlikely cat enthusiast',
         '7' => 'Very Unlikely cat enthusiast',
         '8' => 'Highly Unlikely cat enthusiast',
         '9' => 'Extremely Unlikely cat enthusiast',
-        '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?
       [charity[key[0]], code[key[1]]].join(' - ')
     end
 
     def self.en_8537p(key)
       Experian::DataDictionary.en_8537(key)
     end
-
   end
 end