diff --git a/UFCFVQ-15-M Programming Task 2 Template.ipynb b/UFCFVQ-15-M Programming Task 2 Template.ipynb
index 9e2af3d5b2fbd25a637375cd94982484365c2f9a..8bfd724b11ce18808cde0a0d4f2d662dfa80abab 100644
--- a/UFCFVQ-15-M Programming Task 2 Template.ipynb	
+++ b/UFCFVQ-15-M Programming Task 2 Template.ipynb	
@@ -231,31 +231,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "   Unnamed: 0  id_student gender age_band disability  score  click_events\n",
-      "0           0       11391      M     55<=          N   82.0         934.0\n",
-      "1           1       28400      F    35-55          N   67.0        1435.0\n",
-      "2           2       31604      F    35-55          N   76.0        2158.0\n",
-      "3           3       32885      F     0-35          N   55.0        1034.0\n",
-      "4           4       38053      M    35-55          N   68.0        2445.0\n"
+      "   Unnamed: 0  id_student gender                region      highest_education  \\\n",
+      "0           0       11391      M   East Anglian Region       HE Qualification   \n",
+      "1           1       28400      F              Scotland       HE Qualification   \n",
+      "2           2       31604      F     South East Region  A Level or Equivalent   \n",
+      "3           3       32885      F  West Midlands Region     Lower Than A Level   \n",
+      "4           4       38053      M                 Wales  A Level or Equivalent   \n",
+      "\n",
+      "  age_band disability final_result  score  click_events  \n",
+      "0     55<=          N         Pass   82.0         934.0  \n",
+      "1    35-55          N         Pass   67.0        1435.0  \n",
+      "2    35-55          N         Pass   76.0        2158.0  \n",
+      "3     0-35          N         Pass   55.0        1034.0  \n",
+      "4    35-55          N         Pass   68.0        2445.0  \n"
      ]
     }
    ],
    "source": [
-    "# Removing unnecessary rows from 'cleaned_data_frame' by using 'drop' method.\n",
-    "# The result will be stored in 'final_data_frame', which no longer includes 'region', 'final_result', 'highest_education' columns.\n",
+    "# Filtering unnecessary rows where 'click_events' is smaller than 10\n",
+    "filtered_data_frame = cleaned_data_frame[cleaned_data_frame['click_events'] >= 10]\n",
     "\n",
-    "final_data_frame = cleaned_data_frame.drop(columns=['region', 'final_result', 'highest_education'])\n",
-    "\n",
-    "# Displaying the Final DataFrame\n",
-    "\n",
-    "print(final_data_frame.head())\n"
+    "# Displaying the filtered DataFrame\n",
+    "print(filtered_data_frame.head())\n",
+    "\n"
    ]
   },
   {
@@ -275,11 +280,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   Unnamed: 0  id_student gender                region      highest_education  \\\n",
+      "0           0       11391      M   East Anglian Region       HE Qualification   \n",
+      "1           1       28400      F              Scotland       HE Qualification   \n",
+      "2           2       31604      F     South East Region  A Level or Equivalent   \n",
+      "3           3       32885      F  West Midlands Region     Lower Than A Level   \n",
+      "4           4       38053      M                 Wales  A Level or Equivalent   \n",
+      "\n",
+      "  age_band disability final_result  final_mark  click_events  \n",
+      "0     55<=          N         Pass        82.0         934.0  \n",
+      "1    35-55          N         Pass        67.0        1435.0  \n",
+      "2    35-55          N         Pass        76.0        2158.0  \n",
+      "3     0-35          N         Pass        55.0        1034.0  \n",
+      "4    35-55          N         Pass        68.0        2445.0  \n"
+     ]
+    }
+   ],
    "source": [
-    "# add code here"
+    "# Renaming the 'score' column to 'final_mark'\n",
+    "renamed_data_frame = filtered_data_frame.rename(columns={'score': 'final_mark'})\n",
+    "\n",
+    "# Displaying the DataFrame with the renamed column\n",
+    "print(renamed_data_frame.head())\n"
    ]
   },
   {