diff --git a/UFCFVQ-15-M Programming Task 1.ipynb b/UFCFVQ-15-M Programming Task 1.ipynb
index 7d4af61e244015f0d70094df61aea3ad87ac7dda..d676bc5e764a3beaa7de1d21cf09728c5e18d3d7 100644
--- a/UFCFVQ-15-M Programming Task 1.ipynb	
+++ b/UFCFVQ-15-M Programming Task 1.ipynb	
@@ -488,7 +488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -505,7 +505,7 @@
        " 'Outcome': ['1', '0', '1', '0', '1']}"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -564,15 +564,15 @@
      "data": {
       "text/plain": [
        "{'stats': ['Mean', 'stdev', 'Min', 'Max', '25th', '50th', '75th'],\n",
-       " 'Pregnancies': [3.845, 3.367, 0.0, 17.0, 1.0, 3.0, 6.0],\n",
-       " 'Glucose': [120.895, 31.952, 0.0, 199.0, 99.0, 117.0, 141.0],\n",
-       " 'BloodPressure': [69.105, 19.343, 0.0, 122.0, 62.0, 72.0, 80.0],\n",
-       " 'SkinThickness': [20.536, 15.942, 0.0, 99.0, 0.0, 23.0, 32.0],\n",
-       " 'Insulin': [79.799, 115.169, 0.0, 846.0, 0.0, 32.0, 128.0],\n",
-       " 'BMI': [31.993, 7.879, 0.0, 67.1, 27.3, 32.0, 36.6],\n",
-       " 'DiabetesPedigreeFunction': [0.472, 0.331, 0.078, 2.42, 0.244, 0.374, 0.627],\n",
-       " 'Age': [33.241, 11.753, 21.0, 81.0, 24.0, 29.0, 41.0],\n",
-       " 'Outcome': [0.349, 0.477, 0.0, 1.0, 0.0, 0.0, 1.0]}"
+       " 'Pregnancies': [3.2, 3.187, 0.0, 8.0, 0.0, 1.0, 6.0],\n",
+       " 'Glucose': [128.4, 37.082, 85.0, 183.0, 85.0, 89.0, 148.0],\n",
+       " 'BloodPressure': [61.6, 11.128, 40.0, 72.0, 40.0, 64.0, 66.0],\n",
+       " 'SkinThickness': [24.4, 12.986, 0.0, 35.0, 0.0, 23.0, 35.0],\n",
+       " 'Insulin': [52.4, 68.31, 0.0, 168.0, 0.0, 0.0, 94.0],\n",
+       " 'BMI': [30.94, 6.931, 23.3, 43.1, 23.3, 26.6, 33.6],\n",
+       " 'DiabetesPedigreeFunction': [0.821, 0.756, 0.167, 2.288, 0.167, 0.351, 0.672],\n",
+       " 'Age': [33.4, 9.351, 21.0, 50.0, 21.0, 31.0, 33.0],\n",
+       " 'Outcome': [0.6, 0.49, 0.0, 1.0, 0.0, 0.0, 1.0]}"
       ]
      },
      "execution_count": 12,
@@ -637,17 +637,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "       *****************************************************************************************************************\n",
-      " stats *Pregnancies *Glucose *BloodPressure *SkinThickness *Insulin *  BMI  * DiabetesPedigreeFunction*  Age  *Outcome *\n",
-      "************************************************************************************************************************\n",
-      "* Mean *   3.845    *120.895 *    69.105    *    20.536    * 79.799 * 31.993*          0.472          * 33.241* 0.349  *\n",
-      "*stdev *   3.367    * 31.952 *    19.343    *    15.942    *115.169 * 7.879 *          0.331          * 11.753* 0.477  *\n",
-      "* Min  *    0.0     *  0.0   *     0.0      *     0.0      *  0.0   *  0.0  *          0.078          *  21.0 *  0.0   *\n",
-      "* Max  *    17.0    * 199.0  *    122.0     *     99.0     * 846.0  *  67.1 *           2.42          *  81.0 *  1.0   *\n",
-      "* 25th *    1.0     *  99.0  *     62.0     *     0.0      *  0.0   *  27.3 *          0.244          *  24.0 *  0.0   *\n",
-      "* 50th *    3.0     * 117.0  *     72.0     *     23.0     *  32.0  *  32.0 *          0.374          *  29.0 *  0.0   *\n",
-      "* 75th *    6.0     * 141.0  *     80.0     *     32.0     * 128.0  *  36.6 *          0.627          *  41.0 *  1.0   *\n",
-      "************************************************************************************************************************\n"
+      "       ***************************************************************************************************************\n",
+      " stats *Pregnancies *Glucose *BloodPressure *SkinThickness *Insulin * BMI  * DiabetesPedigreeFunction* Age  *Outcome *\n",
+      "**********************************************************************************************************************\n",
+      "* Mean *    3.2     * 128.4  *     61.6     *     24.4     *  52.4  *30.94 *          0.821          * 33.4 *  0.6   *\n",
+      "*stdev *   3.187    * 37.082 *    11.128    *    12.986    * 68.31  *6.931 *          0.756          *9.351 *  0.49  *\n",
+      "* Min  *    0.0     *  85.0  *     40.0     *     0.0      *  0.0   * 23.3 *          0.167          * 21.0 *  0.0   *\n",
+      "* Max  *    8.0     * 183.0  *     72.0     *     35.0     * 168.0  * 43.1 *          2.288          * 50.0 *  1.0   *\n",
+      "* 25th *    0.0     *  85.0  *     40.0     *     0.0      *  0.0   * 23.3 *          0.167          * 21.0 *  0.0   *\n",
+      "* 50th *    1.0     *  89.0  *     64.0     *     23.0     *  0.0   * 26.6 *          0.351          * 31.0 *  0.0   *\n",
+      "* 75th *    6.0     * 148.0  *     66.0     *     35.0     *  94.0  * 33.6 *          0.672          * 33.0 *  1.0   *\n",
+      "**********************************************************************************************************************\n"
      ]
     }
    ],
@@ -747,7 +747,7 @@
     "\n",
     "- Explanation 2\n",
     "\n",
-    "    A for loop is created to access every single data element in 'ListOfData', ranging from 0 to 768 (or 767 if we start counting from 0). The loop starts at [0][0] and continues to [767][0], then moves on to [0][1] and so on until it reaches the last data element at [767][8]. As the loop progresses, the data is appended to a new list called 'ListOfData', as explained in Explanation 1.\n",
+    "    A for loop is created to access every single data element in 'ListOfData', ranging from 0 to 769 (or 768 if we start counting from 0). The loop starts at [0][0] and continues to [768][0], then moves on to [0][1] and so on until it reaches the last data element at [768][8]. As the loop progresses, the data is appended to a new list called 'ListOfData', as explained in Explanation 1.\n",
     "\n",
     "### 2) Strength\n",
     "\n",