diff --git a/src/preprocessing.py b/src/preprocessing.py
index 32709a4..273fa9e 100644
--- a/src/preprocessing.py
+++ b/src/preprocessing.py
@@ -19,9 +19,17 @@ def rename_columns(df_list) -> DataFrame:
     return df_list
 
 
-def drop_null_values(df_list):
+def process_null_values(df_list):
     drop_columns = ["tipo_marchas", "descuento", "ciudad"]
+    fill_columns = ["asientos", "motor_cc", "potencia"]
     for df in df_list:
+        for column in fill_columns:
+            if column == "asientos":
+                df[column].fillna(value=df[column].median(), inplace=True)
+            else:
+                df[column].fillna(
+                    value=df[column].str.extract("(\d+)").mean(), inplace=True
+                )
         df.drop(columns=drop_columns, inplace=True)
         df.dropna(inplace=True)
     return df_list
@@ -80,7 +88,7 @@ def split_k_sets(df):
 def parse_data(train, test):
     df_list = construct_dataframes(train=train, test=test)
     renamed_df_list = rename_columns(df_list)
-    processed_df_list = drop_null_values(renamed_df_list)
+    processed_df_list = process_null_values(renamed_df_list)
     encoded_df_list = encode_columns(processed_df_list)
     train_data, train_target = balance_training_data(encoded_df_list[0])
     test_data, test_ids = split_data_target(encoded_df_list[1], dataset="test")