diff --git a/02_activities/assignments/assignment_2.ipynb b/02_activities/assignments/assignment_2.ipynb
index fdaead28..beea739b 100644
--- a/02_activities/assignments/assignment_2.ipynb
+++ b/02_activities/assignments/assignment_2.ipynb
@@ -95,8 +95,11 @@
     "\n",
     "with open(all_paths[0], 'r') as f:\n",
     "    # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n",
-    "    \n",
+    "    dataset = f.readlines()\n"
+    "    # reads only first item inflammation_01.csv
     "    # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection"
+    "    for row in dataset:\n",
+    "        print(x)"
    ]
   },
   {
@@ -145,13 +148,13 @@
     "    # Implement the specific operation based on the 'operation' argument\n",
     "    if operation == 'mean':\n",
     "        # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n",
-    "\n",
+    "        summary_values = np.mean(data, axis=ax)\n",
     "    elif operation == 'max':\n",
     "        # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
-    "\n",
+    "        summary_values = np.max(data, axis=ax)\n",
     "    elif operation == 'min':\n",
     "        # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
-    "\n",
+    "        summary_values = np.min(data, axis=ax)\n",
     "    else:\n",
     "        # If the operation is not one of the expected values, raise an error\n",
     "        raise ValueError(\"Invalid operation. Please choose 'mean', 'max', or 'min'.\")\n",
@@ -261,8 +264,9 @@
     "\n",
     "def detect_problems(file_path):\n",
     "  #YOUR CODE HERE: Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
-    "\n",
-    "  return"
+    "  mean_data = patient_summary(file_path, 'mean')\n",
+    "  result = check_zeros(mean_data)\n",
+    "  return result"
    ]
   },
   {