changed meta country code for UK from GB

input_data/combined_mcpc_data.csv.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c1602beb8335ccc472d10fa113713856f206276f29cc70e554ef4f930bbec59
-size 5997998
+oid sha256:af3018e7f3c53680d72977ca14083e1ba77c49dcd85962181a9443b9a4ac03e2
+size 5997947

marginal_cpc_calculator.py

@@ -131,9 +131,9 @@ def calculate_max_spend(df,min_date,max_date,
     #     # so to get the max cost for this tactic or strategy, 
         if pprint==True:
             output_msg.append(f"Max spend threshold is: {max_spend_threshold}") 
-            output_msg.append(f"For this spend, marginal_cpc={marginal_cpc}, cumulative_clicks={cum_clicks}, cumulative_cpc={cum_cpc}, cumulative_revenue={cum_revenue}")
+            output_msg.append(f"For this spend, marginal_cpc={marginal_cpc}, cumulative_clicks={cum_clicks}, Average_cpc={cum_cpc}, cumulative_revenue={cum_revenue}")
             output_msg.append(f"Amount spent during this period is: {highest_amount_spent}") 
-            output_msg.append(f"For this spend, marginal_cpc={marginal_cpc_HAS}, cumulative_clicks={cum_clicks_HAS}, cumulative_cpc={cum_cpc_HAS}, cumulative_revenue={cum_revenue_HAS}")
+            output_msg.append(f"For this spend, marginal_cpc={marginal_cpc_HAS}, cumulative_clicks={cum_clicks_HAS}, Average_cpc={cum_cpc_HAS}, cumulative_revenue={cum_revenue_HAS}")
             output_msg.append(f"Total amount spent in negative ROAS={total_negative_roas_spend}")
             # print (output_msg)
             try: