diff --git a/dev/filter_sectors.py b/dev/filter_sectors.py
index dedf8ff..18d2592 100644
--- a/dev/filter_sectors.py
+++ b/dev/filter_sectors.py
@@ -9,6 +9,7 @@
 from openpyxl.chart import BarChart, Reference
 import copy
 
+
 def process_yaml_files(files_dict, database):
     '''
     - Runs through the files_dict reading the defined filters in the yaml files.
@@ -45,4 +46,70 @@ def process_yaml_files(files_dict, database):
         # Add to the sectors_dict
         main_dict[key]['activities'] = activities_list
         
-    return main_dict
\ No newline at end of file
+    return main_dict
+
+ # To calculate the median
+
+database_name=ei39SSP2
+
+# Initialize a results dictionary to store exchange data for each key
+results = {}
+
+# Iterate over each key in the premise_dict
+for key, value in premise_dict.items():
+    # Dictionary to store exchange data for each activity under the current key
+    activities_data = {}
+
+    try:
+        # Get the list of activities for the current key
+        activities_list = premise_dict[key]['activities'][:3]
+    except KeyError:
+        print(f"KeyError: 'activities' not found for key: {key}")
+        continue
+
+    # Check if there are activities to process
+    if not activities_list:
+        print(f"No activities found for key: {key}")
+        continue
+    
+    # Iterate over each activity in the activities_list
+    for activity in activities_list:
+        # Initialize the counter and amounts list for this activity
+        exchange_count = 0
+        exchange_amounts = []
+
+        # Retrieve the unique identifier for the activity (e.g., activity.key)
+        activity_key = activity.key  # Adjust this line to match the correct attribute for key
+
+        # Loop through all activities in the database
+        for act in database_name:  # Replace 'database_name' with your actual database object
+            # Loop through all exchanges in the current activity of the database
+            for exc in act.exchanges():
+                # Compare unique keys of exchange input and activity
+                if exc.input.key == activity_key:  # Ensure we compare keys, not objects
+                    exchange_count += 1
+                    # Store the amount of the exchange
+                    exchange_amounts.append(exc['amount'])
+
+        # Calculate the median of the exchange amounts if there are any
+        median_value = np.median(exchange_amounts) if exchange_amounts else None
+        
+        # Store the exchange data for the current activity
+        activities_data[str(activity)] = {
+            "exchange_count": exchange_count,
+            "exchange_amounts": exchange_amounts,
+            "median_exchange_amount": median_value
+        }
+
+    # Store the activities data in the results dictionary under the current key
+    results[key] = activities_data
+
+# Print or process the results as needed
+for key, activity_data in results.items():
+    print(f"Results for key: {key}")
+    for activity, data in activity_data.items():
+        print(f"  Activity: {activity}")
+        print(f"    Total Exchanges: {data['exchange_count']}")
+        print(f"    Median Exchange Amount: {data['median_exchange_amount']}")
+        print(f"    Exchange Amounts: {data['exchange_amounts']}")
+    print("-" * 40)
diff --git a/dopo/sector_filter.py b/dopo/sector_filter.py
index 0751e32..80a55af 100644
--- a/dopo/sector_filter.py
+++ b/dopo/sector_filter.py
@@ -9,7 +9,7 @@
 """
 
 from dopo import generate_sets_from_filters
-import cop<y
+import copy
 import numpy as np 
 
 def process_yaml_files(files_dict, database):