6_check_improvement.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import glob as glob\n",
    "from collections import Counter\n",
    "from tabulate import tabulate\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pre_test = pd.read_csv('datasets/pre_test_combined_with_label.csv')\n",
    "df_test = pd.read_csv('datasets/dse_exam_cleaned_with_label.csv')\n",
    "\n",
    "df_pre_test = df_pre_test.drop(['Unnamed: 0'], axis=1) # drop unnamed column\n",
    "df_test = df_test.drop(['Unnamed: 0'], axis=1) # drop unnamed column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### *Note: There is no duplicated data in Pre-test*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Surname</th>\n",
       "      <th>First name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>State</th>\n",
       "      <th>Started on</th>\n",
       "      <th>Completed</th>\n",
       "      <th>Time taken</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>Q. 1 /1.25</th>\n",
       "      <th>Q. 2 /1.25</th>\n",
       "      <th>...</th>\n",
       "      <th>Q. 73 /1.25</th>\n",
       "      <th>Q. 74 /1.25</th>\n",
       "      <th>Q. 75 /1.25</th>\n",
       "      <th>Q. 76 /1.25</th>\n",
       "      <th>Q. 77 /1.25</th>\n",
       "      <th>Q. 78 /1.25</th>\n",
       "      <th>Q. 79 /1.25</th>\n",
       "      <th>Q. 80 /1.25</th>\n",
       "      <th>label</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2168</th>\n",
       "      <td>VANNA</td>\n",
       "      <td>AM</td>\n",
       "      <td>amvanna77@gmail.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>29 July 2022  8:52 AM</td>\n",
       "      <td>29 July 2022  9:50 AM</td>\n",
       "      <td>58 mins 18 secs</td>\n",
       "      <td>42.52</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>AM VANNA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2890</th>\n",
       "      <td>VEASNA</td>\n",
       "      <td>AM</td>\n",
       "      <td>dse_22_4607@idg.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>12 August 2022  3:57 PM</td>\n",
       "      <td>12 August 2022  5:15 PM</td>\n",
       "      <td>1 hour 18 mins</td>\n",
       "      <td>48.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.42</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.63</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>Failed</td>\n",
       "      <td>AM VEASNA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>SAMSUPHIN</td>\n",
       "      <td>AN</td>\n",
       "      <td>dse_22_4193@idg.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2 August 2022  10:10 AM</td>\n",
       "      <td>2 August 2022  11:18 AM</td>\n",
       "      <td>1 hour 8 mins</td>\n",
       "      <td>40.71</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.83</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>AN SAMSUPHIN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>KIMHENG</td>\n",
       "      <td>ANG</td>\n",
       "      <td>lmhong7@gmail.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2 August 2022  10:23 AM</td>\n",
       "      <td>2 August 2022  11:43 AM</td>\n",
       "      <td>1 hour 20 mins</td>\n",
       "      <td>40.08</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ANG KIMHENG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2448</th>\n",
       "      <td>MENGHUOTH</td>\n",
       "      <td>ANG</td>\n",
       "      <td>angmenghout11@gmail.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>15 August 2022  3:06 PM</td>\n",
       "      <td>15 August 2022  4:26 PM</td>\n",
       "      <td>1 hour 20 mins</td>\n",
       "      <td>76.42</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.63</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.83</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>Passed</td>\n",
       "      <td>ANG MENGHUOTH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>ដាលីស</td>\n",
       "      <td>ឯក</td>\n",
       "      <td>edalispg2n78@era.gov.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>22 July 2022  8:11 PM</td>\n",
       "      <td>22 July 2022  8:59 PM</td>\n",
       "      <td>47 mins 20 secs</td>\n",
       "      <td>34.04</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯក ដាលីស</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1574</th>\n",
       "      <td>ផាណិត</td>\n",
       "      <td>ឯក</td>\n",
       "      <td>012622908@gmail.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>24 May 2023  10:04 AM</td>\n",
       "      <td>24 May 2023  11:08 AM</td>\n",
       "      <td>1 hour 4 mins</td>\n",
       "      <td>41.69</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.83</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.83</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯក ផាណិត</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>ឯកសារន្ត</td>\n",
       "      <td>epserybothh12n34@era.gov.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>22 July 2022  1:40 PM</td>\n",
       "      <td>22 July 2022  2:41 PM</td>\n",
       "      <td>1 hour 1 min</td>\n",
       "      <td>60.75</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>Passed</td>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>វណ្ណវ៉ារីណែត</td>\n",
       "      <td>ឯម</td>\n",
       "      <td>evanvarinethpg1n36@era.gov.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>22 July 2022  8:33 AM</td>\n",
       "      <td>22 July 2022  9:51 AM</td>\n",
       "      <td>1 hour 18 mins</td>\n",
       "      <td>23.17</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>0.42</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯម វណ្ណវ៉ារីណែត</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1382</th>\n",
       "      <td>ឆវ៉ាន់</td>\n",
       "      <td>ឳ</td>\n",
       "      <td>0967329667@DSEmowa23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>9 April 2023  10:22 AM</td>\n",
       "      <td>9 April 2023  11:42 AM</td>\n",
       "      <td>1 hour 20 mins</td>\n",
       "      <td>37.08</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.25</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឳ ឆវ៉ាន់</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3064 rows × 90 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Surname First name                  Email address     State  \\\n",
       "2168            VANNA         AM            amvanna77@gmail.com  Finished   \n",
       "2890           VEASNA         AM         dse_22_4607@idg.edu.kh  Finished   \n",
       "846         SAMSUPHIN         AN            dse_22_4193@idg.com  Finished   \n",
       "873           KIMHENG        ANG              lmhong7@gmail.com  Finished   \n",
       "2448        MENGHUOTH        ANG        angmenghout11@gmail.com  Finished   \n",
       "...               ...        ...                            ...       ...   \n",
       "412             ដាលីស         ឯក        edalispg2n78@era.gov.kh  Finished   \n",
       "1574            ផាណិត         ឯក            012622908@gmail.com  Finished   \n",
       "273   ផៅសិរីសិរីបុត្រ   ឯកសារន្ត    epserybothh12n34@era.gov.kh  Finished   \n",
       "95       វណ្ណវ៉ារីណែត         ឯម  evanvarinethpg1n36@era.gov.kh  Finished   \n",
       "1382           ឆវ៉ាន់          ឳ       0967329667@DSEmowa23.com  Finished   \n",
       "\n",
       "                   Started on                Completed       Time taken  \\\n",
       "2168    29 July 2022  8:52 AM    29 July 2022  9:50 AM  58 mins 18 secs   \n",
       "2890  12 August 2022  3:57 PM  12 August 2022  5:15 PM   1 hour 18 mins   \n",
       "846   2 August 2022  10:10 AM  2 August 2022  11:18 AM    1 hour 8 mins   \n",
       "873   2 August 2022  10:23 AM  2 August 2022  11:43 AM   1 hour 20 mins   \n",
       "2448  15 August 2022  3:06 PM  15 August 2022  4:26 PM   1 hour 20 mins   \n",
       "...                       ...                      ...              ...   \n",
       "412     22 July 2022  8:11 PM    22 July 2022  8:59 PM  47 mins 20 secs   \n",
       "1574    24 May 2023  10:04 AM    24 May 2023  11:08 AM    1 hour 4 mins   \n",
       "273     22 July 2022  1:40 PM    22 July 2022  2:41 PM     1 hour 1 min   \n",
       "95      22 July 2022  8:33 AM    22 July 2022  9:51 AM   1 hour 18 mins   \n",
       "1382   9 April 2023  10:22 AM   9 April 2023  11:42 AM   1 hour 20 mins   \n",
       "\n",
       "      Grade/100.00  Q. 1 /1.25  Q. 2 /1.25  ...  Q. 73 /1.25  Q. 74 /1.25  \\\n",
       "2168         42.52        1.25        0.25  ...         1.25         0.00   \n",
       "2890         48.00        1.25        1.25  ...         0.75         0.42   \n",
       "846          40.71        1.25        1.25  ...         0.75         1.25   \n",
       "873          40.08        1.25        1.25  ...         0.00         0.00   \n",
       "2448         76.42        1.25        0.00  ...         1.25         1.25   \n",
       "...            ...         ...         ...  ...          ...          ...   \n",
       "412          34.04        0.75        0.00  ...         0.83         0.00   \n",
       "1574         41.69        1.25        0.83  ...         1.25         1.25   \n",
       "273          60.75        1.25        1.25  ...         1.25         0.00   \n",
       "95           23.17        0.00        1.25  ...         0.42         0.00   \n",
       "1382         37.08        1.25        1.25  ...         0.00         0.00   \n",
       "\n",
       "      Q. 75 /1.25  Q. 76 /1.25  Q. 77 /1.25  Q. 78 /1.25  Q. 79 /1.25  \\\n",
       "2168         1.25         0.50         0.42         0.42         0.00   \n",
       "2890         1.25         0.83         0.63         0.00         0.00   \n",
       "846          1.25         0.83         1.25         0.00         0.00   \n",
       "873          0.00         0.00         0.00         0.00         0.00   \n",
       "2448         0.63         1.25         0.83         1.25         0.00   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "412          1.25         0.50         0.42         0.00         1.25   \n",
       "1574         1.25         0.50         0.83         0.83         1.25   \n",
       "273          1.25         1.00         1.25         1.25         0.00   \n",
       "95           1.25         0.00         0.00         0.00         0.00   \n",
       "1382         0.00         0.00         0.00         0.00         0.00   \n",
       "\n",
       "      Q. 80 /1.25   label                      name  \n",
       "2168         0.00  Failed                  AM VANNA  \n",
       "2890         1.25  Failed                 AM VEASNA  \n",
       "846          0.00  Failed              AN SAMSUPHIN  \n",
       "873          0.00  Failed               ANG KIMHENG  \n",
       "2448         1.25  Passed             ANG MENGHUOTH  \n",
       "...           ...     ...                       ...  \n",
       "412          0.00  Failed                  ឯក ដាលីស  \n",
       "1574         0.00  Failed                  ឯក ផាណិត  \n",
       "273          1.25  Passed  ឯកសារន្ត ផៅសិរីសិរីបុត្រ  \n",
       "95           0.00  Failed           ឯម វណ្ណវ៉ារីណែត  \n",
       "1382         0.00  Failed                  ឳ ឆវ៉ាន់  \n",
       "\n",
       "[3064 rows x 90 columns]"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Clean Pre-test Dataset\n",
    "df_pre_test['name'] = df_pre_test['First name'] +' '+ df_pre_test['Surname']\n",
    "df_pre_test['name'] = df_pre_test['name'].str.replace(r'\\s+', ' ', regex=True).str.strip()\n",
    "df_pre_test['name'] = df_pre_test['name'].str.replace('\\u200b', '')\n",
    "\n",
    "df_pre_test = df_pre_test.sort_values(by='name')\n",
    "df_pre_test\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Surname</th>\n",
       "      <th>First name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>State</th>\n",
       "      <th>Started on</th>\n",
       "      <th>Completed</th>\n",
       "      <th>Time taken</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>Q. 1 /1.00</th>\n",
       "      <th>Q. 2 /1.00</th>\n",
       "      <th>...</th>\n",
       "      <th>Q. 93 /1.00</th>\n",
       "      <th>Q. 94 /1.00</th>\n",
       "      <th>Q. 95 /1.00</th>\n",
       "      <th>Q. 96 /1.00</th>\n",
       "      <th>Q. 97 /1.00</th>\n",
       "      <th>Q. 98 /1.00</th>\n",
       "      <th>Q. 99 /1.00</th>\n",
       "      <th>Q. 100 /1.00</th>\n",
       "      <th>label</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>Chantra</td>\n",
       "      <td>BE</td>\n",
       "      <td>chantra.be@niptict.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-03-05 10:19:00</td>\n",
       "      <td>2022-03-05 11:39:00</td>\n",
       "      <td>1 hour 20 mins</td>\n",
       "      <td>75.90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>BE Chantra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959</th>\n",
       "      <td>PISAL</td>\n",
       "      <td>CHANTY</td>\n",
       "      <td>pisal.chanty@cadt.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-03-04 18:08:00</td>\n",
       "      <td>2022-03-04 19:31:00</td>\n",
       "      <td>1 hour 23 mins</td>\n",
       "      <td>89.48</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>CHANTY PISAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1923</th>\n",
       "      <td>SOCHEAT</td>\n",
       "      <td>CHEA</td>\n",
       "      <td>socheat.chea@cadt.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-02-16 15:00:00</td>\n",
       "      <td>2022-02-16 16:54:00</td>\n",
       "      <td>1 hour 53 mins</td>\n",
       "      <td>85.13</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>CHEA SOCHEAT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>Mara</td>\n",
       "      <td>Chea</td>\n",
       "      <td>cheamara.kh@gmail.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-03-05 10:14:00</td>\n",
       "      <td>2022-03-05 11:15:00</td>\n",
       "      <td>1 hour</td>\n",
       "      <td>47.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>Chea Mara</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1920</th>\n",
       "      <td>Rithya</td>\n",
       "      <td>Cheng</td>\n",
       "      <td>rithya.cheng@niptict.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-02-16 12:14:00</td>\n",
       "      <td>2022-02-16 13:30:00</td>\n",
       "      <td>1 hour 16 mins</td>\n",
       "      <td>78.88</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>Cheng Rithya</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>ឯកសារន្ត</td>\n",
       "      <td>D220558@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-30 15:12:00</td>\n",
       "      <td>2022-12-30 17:06:00</td>\n",
       "      <td>1 hour 54 mins</td>\n",
       "      <td>81.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>វណ្ណវ៉ារីណែត</td>\n",
       "      <td>ឯម</td>\n",
       "      <td>D220717@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-28 10:27:00</td>\n",
       "      <td>2022-12-28 12:20:00</td>\n",
       "      <td>1 hour 52 mins</td>\n",
       "      <td>35.76</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯម វណ្ណវ៉ារីណែត</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>ហ្វ៊ីណង់</td>\n",
       "      <td>ឯម</td>\n",
       "      <td>dp231578@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-03-15 09:44:00</td>\n",
       "      <td>2023-03-15 11:19:00</td>\n",
       "      <td>1 hour 34 mins</td>\n",
       "      <td>38.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯម ហ្វ៊ីណង់</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>មុន្នីស័ក</td>\n",
       "      <td>ឱ</td>\n",
       "      <td>dp231753@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-03-22 13:13:00</td>\n",
       "      <td>2023-03-22 15:12:00</td>\n",
       "      <td>1 hour 59 mins</td>\n",
       "      <td>65.95</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>ឱ មុន្នីស័ក</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>អាន</td>\n",
       "      <td>ឱ</td>\n",
       "      <td>dp231798@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-03-22 13:31:00</td>\n",
       "      <td>2023-03-22 15:31:00</td>\n",
       "      <td>2 hours</td>\n",
       "      <td>25.81</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឱ អាន</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2068 rows × 110 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Surname First name                Email address     State  \\\n",
       "1972          Chantra         BE    chantra.be@niptict.edu.kh  Finished   \n",
       "1959            PISAL     CHANTY     pisal.chanty@cadt.edu.kh  Finished   \n",
       "1923          SOCHEAT       CHEA     socheat.chea@cadt.edu.kh  Finished   \n",
       "1970             Mara       Chea        cheamara.kh@gmail.com  Finished   \n",
       "1920           Rithya      Cheng  rithya.cheng@niptict.edu.kh  Finished   \n",
       "...               ...        ...                          ...       ...   \n",
       "760   ផៅសិរីសិរីបុត្រ   ឯកសារន្ត         D220558@DSEERA22.com  Finished   \n",
       "442      វណ្ណវ៉ារីណែត         ឯម         D220717@DSEERA22.com  Finished   \n",
       "890          ហ្វ៊ីណង់         ឯម   dp231578@DSEPROVINCE23.com  Finished   \n",
       "1086        មុន្នីស័ក          ឱ   dp231753@DSEPROVINCE23.com  Finished   \n",
       "1101              អាន          ឱ   dp231798@DSEPROVINCE23.com  Finished   \n",
       "\n",
       "               Started on            Completed      Time taken  Grade/100.00  \\\n",
       "1972  2022-03-05 10:19:00  2022-03-05 11:39:00  1 hour 20 mins         75.90   \n",
       "1959  2022-03-04 18:08:00  2022-03-04 19:31:00  1 hour 23 mins         89.48   \n",
       "1923  2022-02-16 15:00:00  2022-02-16 16:54:00  1 hour 53 mins         85.13   \n",
       "1970  2022-03-05 10:14:00  2022-03-05 11:15:00          1 hour         47.94   \n",
       "1920  2022-02-16 12:14:00  2022-02-16 13:30:00  1 hour 16 mins         78.88   \n",
       "...                   ...                  ...             ...           ...   \n",
       "760   2022-12-30 15:12:00  2022-12-30 17:06:00  1 hour 54 mins         81.30   \n",
       "442   2022-12-28 10:27:00  2022-12-28 12:20:00  1 hour 52 mins         35.76   \n",
       "890   2023-03-15 09:44:00  2023-03-15 11:19:00  1 hour 34 mins         38.88   \n",
       "1086  2023-03-22 13:13:00  2023-03-22 15:12:00  1 hour 59 mins         65.95   \n",
       "1101  2023-03-22 13:31:00  2023-03-22 15:31:00         2 hours         25.81   \n",
       "\n",
       "      Q. 1 /1.00  Q. 2 /1.00  ...  Q. 93 /1.00  Q. 94 /1.00  Q. 95 /1.00  \\\n",
       "1972         1.0         0.0  ...          1.0          0.0         1.00   \n",
       "1959         1.0         1.0  ...          1.0          1.0         1.00   \n",
       "1923         1.0         0.0  ...          1.0          1.0         1.00   \n",
       "1970         0.0         0.0  ...          1.0          0.0         1.00   \n",
       "1920         1.0         1.0  ...          0.0          1.0         0.00   \n",
       "...          ...         ...  ...          ...          ...          ...   \n",
       "760          0.0         1.0  ...          1.0          1.0         0.00   \n",
       "442          1.0         0.0  ...          0.0          0.0         0.17   \n",
       "890          0.0         1.0  ...          1.0          1.0         0.00   \n",
       "1086         1.0         1.0  ...          0.0          1.0         0.00   \n",
       "1101         1.0         0.0  ...          0.0          0.0         0.00   \n",
       "\n",
       "      Q. 96 /1.00  Q. 97 /1.00  Q. 98 /1.00  Q. 99 /1.00  Q. 100 /1.00  \\\n",
       "1972         1.00          0.5          0.0          1.0          1.00   \n",
       "1959         1.00          1.0          1.0          1.0          1.00   \n",
       "1923         1.00          1.0          1.0          0.0          1.00   \n",
       "1970         0.00          1.0          0.0          0.0          1.00   \n",
       "1920         1.00          1.0          1.0          1.0          0.00   \n",
       "...           ...          ...          ...          ...           ...   \n",
       "760          1.00          0.0          1.0          1.0          1.00   \n",
       "442          0.17          0.0          0.0          0.0          0.17   \n",
       "890          0.00          1.0          0.0          0.0          0.00   \n",
       "1086         1.00          1.0          0.0          0.0          1.00   \n",
       "1101         0.00          0.0          0.0          0.0          0.00   \n",
       "\n",
       "       label                      name  \n",
       "1972  Passed                BE Chantra  \n",
       "1959  Passed              CHANTY PISAL  \n",
       "1923  Passed              CHEA SOCHEAT  \n",
       "1970  Failed                 Chea Mara  \n",
       "1920  Passed              Cheng Rithya  \n",
       "...      ...                       ...  \n",
       "760   Passed  ឯកសារន្ត ផៅសិរីសិរីបុត្រ  \n",
       "442   Failed           ឯម វណ្ណវ៉ារីណែត  \n",
       "890   Failed               ឯម ហ្វ៊ីណង់  \n",
       "1086  Passed               ឱ មុន្នីស័ក  \n",
       "1101  Failed                     ឱ អាន  \n",
       "\n",
       "[2068 rows x 110 columns]"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Clean Test Dataset\n",
    "df_test['name'] = df_test['First name'] + ' ' +df_test['Surname']\n",
    "df_test['name'] = df_test['name'].str.replace(r'\\s+', ' ', regex=True).str.strip()\n",
    "df_test['name'] = df_test['name'].str.replace('\\u200b', '')\n",
    "\n",
    "df_test = df_test.sort_values(by='name')\n",
    "df_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Double Duplicated Rows : 0\n",
      "Unique Duplicated : 0\n"
     ]
    }
   ],
   "source": [
    "# Find Duplicated Rows\n",
    "duplicated_rows = df_test[df_test.duplicated(keep=False)]\n",
    "print(\"Double Duplicated Rows :\", len(duplicated_rows))\n",
    "print(\"Unique Duplicated :\", len(duplicated_rows['name'].unique()))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "# duplicated_rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "duplicated_rows = duplicated_rows[duplicated_rows.duplicated(keep='first')]\n",
    "duplicated_rows.to_csv('duplicated_data.csv') # Save duplicated data to a csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DataFrame without Duplicates:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Surname</th>\n",
       "      <th>First name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>State</th>\n",
       "      <th>Started on</th>\n",
       "      <th>Completed</th>\n",
       "      <th>Time taken</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>Q. 1 /1.00</th>\n",
       "      <th>Q. 2 /1.00</th>\n",
       "      <th>...</th>\n",
       "      <th>Q. 93 /1.00</th>\n",
       "      <th>Q. 94 /1.00</th>\n",
       "      <th>Q. 95 /1.00</th>\n",
       "      <th>Q. 96 /1.00</th>\n",
       "      <th>Q. 97 /1.00</th>\n",
       "      <th>Q. 98 /1.00</th>\n",
       "      <th>Q. 99 /1.00</th>\n",
       "      <th>Q. 100 /1.00</th>\n",
       "      <th>label</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>Chantra</td>\n",
       "      <td>BE</td>\n",
       "      <td>chantra.be@niptict.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-03-05 10:19:00</td>\n",
       "      <td>2022-03-05 11:39:00</td>\n",
       "      <td>1 hour 20 mins</td>\n",
       "      <td>75.90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>BE Chantra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1959</th>\n",
       "      <td>PISAL</td>\n",
       "      <td>CHANTY</td>\n",
       "      <td>pisal.chanty@cadt.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-03-04 18:08:00</td>\n",
       "      <td>2022-03-04 19:31:00</td>\n",
       "      <td>1 hour 23 mins</td>\n",
       "      <td>89.48</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>CHANTY PISAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1923</th>\n",
       "      <td>SOCHEAT</td>\n",
       "      <td>CHEA</td>\n",
       "      <td>socheat.chea@cadt.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-02-16 15:00:00</td>\n",
       "      <td>2022-02-16 16:54:00</td>\n",
       "      <td>1 hour 53 mins</td>\n",
       "      <td>85.13</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>CHEA SOCHEAT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>Mara</td>\n",
       "      <td>Chea</td>\n",
       "      <td>cheamara.kh@gmail.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-03-05 10:14:00</td>\n",
       "      <td>2022-03-05 11:15:00</td>\n",
       "      <td>1 hour</td>\n",
       "      <td>47.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>Chea Mara</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1920</th>\n",
       "      <td>Rithya</td>\n",
       "      <td>Cheng</td>\n",
       "      <td>rithya.cheng@niptict.edu.kh</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-02-16 12:14:00</td>\n",
       "      <td>2022-02-16 13:30:00</td>\n",
       "      <td>1 hour 16 mins</td>\n",
       "      <td>78.88</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>Cheng Rithya</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>ឯកសារន្ត</td>\n",
       "      <td>D220558@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-30 15:12:00</td>\n",
       "      <td>2022-12-30 17:06:00</td>\n",
       "      <td>1 hour 54 mins</td>\n",
       "      <td>81.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>វណ្ណវ៉ារីណែត</td>\n",
       "      <td>ឯម</td>\n",
       "      <td>D220717@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-28 10:27:00</td>\n",
       "      <td>2022-12-28 12:20:00</td>\n",
       "      <td>1 hour 52 mins</td>\n",
       "      <td>35.76</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯម វណ្ណវ៉ារីណែត</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>ហ្វ៊ីណង់</td>\n",
       "      <td>ឯម</td>\n",
       "      <td>dp231578@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-03-15 09:44:00</td>\n",
       "      <td>2023-03-15 11:19:00</td>\n",
       "      <td>1 hour 34 mins</td>\n",
       "      <td>38.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯម ហ្វ៊ីណង់</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>មុន្នីស័ក</td>\n",
       "      <td>ឱ</td>\n",
       "      <td>dp231753@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-03-22 13:13:00</td>\n",
       "      <td>2023-03-22 15:12:00</td>\n",
       "      <td>1 hour 59 mins</td>\n",
       "      <td>65.95</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>ឱ មុន្នីស័ក</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>អាន</td>\n",
       "      <td>ឱ</td>\n",
       "      <td>dp231798@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-03-22 13:31:00</td>\n",
       "      <td>2023-03-22 15:31:00</td>\n",
       "      <td>2 hours</td>\n",
       "      <td>25.81</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឱ អាន</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2068 rows × 110 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Surname First name                Email address     State  \\\n",
       "1972          Chantra         BE    chantra.be@niptict.edu.kh  Finished   \n",
       "1959            PISAL     CHANTY     pisal.chanty@cadt.edu.kh  Finished   \n",
       "1923          SOCHEAT       CHEA     socheat.chea@cadt.edu.kh  Finished   \n",
       "1970             Mara       Chea        cheamara.kh@gmail.com  Finished   \n",
       "1920           Rithya      Cheng  rithya.cheng@niptict.edu.kh  Finished   \n",
       "...               ...        ...                          ...       ...   \n",
       "760   ផៅសិរីសិរីបុត្រ   ឯកសារន្ត         D220558@DSEERA22.com  Finished   \n",
       "442      វណ្ណវ៉ារីណែត         ឯម         D220717@DSEERA22.com  Finished   \n",
       "890          ហ្វ៊ីណង់         ឯម   dp231578@DSEPROVINCE23.com  Finished   \n",
       "1086        មុន្នីស័ក          ឱ   dp231753@DSEPROVINCE23.com  Finished   \n",
       "1101              អាន          ឱ   dp231798@DSEPROVINCE23.com  Finished   \n",
       "\n",
       "               Started on            Completed      Time taken  Grade/100.00  \\\n",
       "1972  2022-03-05 10:19:00  2022-03-05 11:39:00  1 hour 20 mins         75.90   \n",
       "1959  2022-03-04 18:08:00  2022-03-04 19:31:00  1 hour 23 mins         89.48   \n",
       "1923  2022-02-16 15:00:00  2022-02-16 16:54:00  1 hour 53 mins         85.13   \n",
       "1970  2022-03-05 10:14:00  2022-03-05 11:15:00          1 hour         47.94   \n",
       "1920  2022-02-16 12:14:00  2022-02-16 13:30:00  1 hour 16 mins         78.88   \n",
       "...                   ...                  ...             ...           ...   \n",
       "760   2022-12-30 15:12:00  2022-12-30 17:06:00  1 hour 54 mins         81.30   \n",
       "442   2022-12-28 10:27:00  2022-12-28 12:20:00  1 hour 52 mins         35.76   \n",
       "890   2023-03-15 09:44:00  2023-03-15 11:19:00  1 hour 34 mins         38.88   \n",
       "1086  2023-03-22 13:13:00  2023-03-22 15:12:00  1 hour 59 mins         65.95   \n",
       "1101  2023-03-22 13:31:00  2023-03-22 15:31:00         2 hours         25.81   \n",
       "\n",
       "      Q. 1 /1.00  Q. 2 /1.00  ...  Q. 93 /1.00  Q. 94 /1.00  Q. 95 /1.00  \\\n",
       "1972         1.0         0.0  ...          1.0          0.0         1.00   \n",
       "1959         1.0         1.0  ...          1.0          1.0         1.00   \n",
       "1923         1.0         0.0  ...          1.0          1.0         1.00   \n",
       "1970         0.0         0.0  ...          1.0          0.0         1.00   \n",
       "1920         1.0         1.0  ...          0.0          1.0         0.00   \n",
       "...          ...         ...  ...          ...          ...          ...   \n",
       "760          0.0         1.0  ...          1.0          1.0         0.00   \n",
       "442          1.0         0.0  ...          0.0          0.0         0.17   \n",
       "890          0.0         1.0  ...          1.0          1.0         0.00   \n",
       "1086         1.0         1.0  ...          0.0          1.0         0.00   \n",
       "1101         1.0         0.0  ...          0.0          0.0         0.00   \n",
       "\n",
       "      Q. 96 /1.00  Q. 97 /1.00  Q. 98 /1.00  Q. 99 /1.00  Q. 100 /1.00  \\\n",
       "1972         1.00          0.5          0.0          1.0          1.00   \n",
       "1959         1.00          1.0          1.0          1.0          1.00   \n",
       "1923         1.00          1.0          1.0          0.0          1.00   \n",
       "1970         0.00          1.0          0.0          0.0          1.00   \n",
       "1920         1.00          1.0          1.0          1.0          0.00   \n",
       "...           ...          ...          ...          ...           ...   \n",
       "760          1.00          0.0          1.0          1.0          1.00   \n",
       "442          0.17          0.0          0.0          0.0          0.17   \n",
       "890          0.00          1.0          0.0          0.0          0.00   \n",
       "1086         1.00          1.0          0.0          0.0          1.00   \n",
       "1101         0.00          0.0          0.0          0.0          0.00   \n",
       "\n",
       "       label                      name  \n",
       "1972  Passed                BE Chantra  \n",
       "1959  Passed              CHANTY PISAL  \n",
       "1923  Passed              CHEA SOCHEAT  \n",
       "1970  Failed                 Chea Mara  \n",
       "1920  Passed              Cheng Rithya  \n",
       "...      ...                       ...  \n",
       "760   Passed  ឯកសារន្ត ផៅសិរីសិរីបុត្រ  \n",
       "442   Failed           ឯម វណ្ណវ៉ារីណែត  \n",
       "890   Failed               ឯម ហ្វ៊ីណង់  \n",
       "1086  Passed               ឱ មុន្នីស័ក  \n",
       "1101  Failed                     ឱ អាន  \n",
       "\n",
       "[2068 rows x 110 columns]"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove duplicated rows\n",
    "df_no_duplicates = df_test.drop_duplicates(keep='first')\n",
    "print(\"DataFrame without Duplicates:\")\n",
    "\n",
    "df_test = df_no_duplicates\n",
    "df_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount of Pre-text Examinees: 3064\n"
     ]
    }
   ],
   "source": [
    "pre_test_name = np.array(df_pre_test['name'])\n",
    "print(\"Amount of Pre-text Examinees:\", pre_test_name.size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Amount of Certificated Exam Examinees: 2068\n"
     ]
    }
   ],
   "source": [
    "test_name = np.array(df_test['name'])\n",
    "test_name.size\n",
    "print(\"Amount of Certificated Exam Examinees:\", test_name.size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapped_name = []\n",
    "for name in pre_test_name:\n",
    "    if(name in test_name):\n",
    "        mapped_name.append(name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "691"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapped_name = np.array(mapped_name)\n",
    "mapped_name.size\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/dt/90w7dnxx5xzfd7px48yrrpt00000gn/T/ipykernel_87548/3691151319.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_test['pre_test_score'] = None\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Surname</th>\n",
       "      <th>First name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>State</th>\n",
       "      <th>Started on</th>\n",
       "      <th>Completed</th>\n",
       "      <th>Time taken</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>Q. 1 /1.00</th>\n",
       "      <th>Q. 2 /1.00</th>\n",
       "      <th>...</th>\n",
       "      <th>Q. 94 /1.00</th>\n",
       "      <th>Q. 95 /1.00</th>\n",
       "      <th>Q. 96 /1.00</th>\n",
       "      <th>Q. 97 /1.00</th>\n",
       "      <th>Q. 98 /1.00</th>\n",
       "      <th>Q. 99 /1.00</th>\n",
       "      <th>Q. 100 /1.00</th>\n",
       "      <th>label</th>\n",
       "      <th>name</th>\n",
       "      <th>pre_test_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>TOU</td>\n",
       "      <td>NHET</td>\n",
       "      <td>nhettou.math@gmail.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-03-17 14:14:00</td>\n",
       "      <td>2023-03-17 16:14:00</td>\n",
       "      <td>1 hour 59 mins</td>\n",
       "      <td>57.71</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>NHET TOU</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>ចន្នី</td>\n",
       "      <td>កង</td>\n",
       "      <td>dp23410@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-08-03 08:02:00</td>\n",
       "      <td>2023-08-03 10:02:00</td>\n",
       "      <td>2 hours</td>\n",
       "      <td>48.18</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>កង ចន្នី</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>សុផាន់ណា</td>\n",
       "      <td>កាំង</td>\n",
       "      <td>D220129@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-23 08:20:00</td>\n",
       "      <td>2022-12-23 10:15:00</td>\n",
       "      <td>1 hour 55 mins</td>\n",
       "      <td>54.32</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.67</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>កាំង សុផាន់ណា</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>តុលា</td>\n",
       "      <td>កឹម</td>\n",
       "      <td>D220570@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-28 08:13:00</td>\n",
       "      <td>2022-12-28 09:59:00</td>\n",
       "      <td>1 hour 45 mins</td>\n",
       "      <td>62.52</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>កឹម តុលា</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>សៀករតនៈ</td>\n",
       "      <td>កឹម</td>\n",
       "      <td>dp23411@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-08-03 08:00:00</td>\n",
       "      <td>2023-08-03 10:00:00</td>\n",
       "      <td>2 hours</td>\n",
       "      <td>72.72</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>កឹម សៀករតនៈ</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>សុធា</td>\n",
       "      <td>អ៊ុំ</td>\n",
       "      <td>dp23467@DSEPROVINCE23.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2023-08-03 13:56:00</td>\n",
       "      <td>2023-08-03 15:52:00</td>\n",
       "      <td>1 hour 56 mins</td>\n",
       "      <td>74.66</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>អ៊ុំ សុធា</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>សារុន</td>\n",
       "      <td>អ៊ួង</td>\n",
       "      <td>D220729@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-28 10:28:00</td>\n",
       "      <td>2022-12-28 12:23:00</td>\n",
       "      <td>1 hour 55 mins</td>\n",
       "      <td>34.54</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>អ៊ួង សារុន</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>ដាលីស</td>\n",
       "      <td>ឯក</td>\n",
       "      <td>D220357@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-30 15:21:00</td>\n",
       "      <td>2022-12-30 17:14:00</td>\n",
       "      <td>1 hour 52 mins</td>\n",
       "      <td>45.52</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯក ដាលីស</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>ឯកសារន្ត</td>\n",
       "      <td>D220558@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-30 15:12:00</td>\n",
       "      <td>2022-12-30 17:06:00</td>\n",
       "      <td>1 hour 54 mins</td>\n",
       "      <td>81.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>Passed</td>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>វណ្ណវ៉ារីណែត</td>\n",
       "      <td>ឯម</td>\n",
       "      <td>D220717@DSEERA22.com</td>\n",
       "      <td>Finished</td>\n",
       "      <td>2022-12-28 10:27:00</td>\n",
       "      <td>2022-12-28 12:20:00</td>\n",
       "      <td>1 hour 52 mins</td>\n",
       "      <td>35.76</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.17</td>\n",
       "      <td>Failed</td>\n",
       "      <td>ឯម វណ្ណវ៉ារីណែត</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>697 rows × 111 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Surname First name              Email address     State  \\\n",
       "1020              TOU       NHET     nhettou.math@gmail.com  Finished   \n",
       "825             ចន្នី         កង  dp23410@DSEPROVINCE23.com  Finished   \n",
       "229          សុផាន់ណា       កាំង       D220129@DSEERA22.com  Finished   \n",
       "375              តុលា        កឹម       D220570@DSEERA22.com  Finished   \n",
       "820           សៀករតនៈ        កឹម  dp23411@DSEPROVINCE23.com  Finished   \n",
       "...               ...        ...                        ...       ...   \n",
       "866              សុធា       អ៊ុំ  dp23467@DSEPROVINCE23.com  Finished   \n",
       "443             សារុន       អ៊ួង       D220729@DSEERA22.com  Finished   \n",
       "808             ដាលីស         ឯក       D220357@DSEERA22.com  Finished   \n",
       "760   ផៅសិរីសិរីបុត្រ   ឯកសារន្ត       D220558@DSEERA22.com  Finished   \n",
       "442      វណ្ណវ៉ារីណែត         ឯម       D220717@DSEERA22.com  Finished   \n",
       "\n",
       "               Started on            Completed      Time taken  Grade/100.00  \\\n",
       "1020  2023-03-17 14:14:00  2023-03-17 16:14:00  1 hour 59 mins         57.71   \n",
       "825   2023-08-03 08:02:00  2023-08-03 10:02:00         2 hours         48.18   \n",
       "229   2022-12-23 08:20:00  2022-12-23 10:15:00  1 hour 55 mins         54.32   \n",
       "375   2022-12-28 08:13:00  2022-12-28 09:59:00  1 hour 45 mins         62.52   \n",
       "820   2023-08-03 08:00:00  2023-08-03 10:00:00         2 hours         72.72   \n",
       "...                   ...                  ...             ...           ...   \n",
       "866   2023-08-03 13:56:00  2023-08-03 15:52:00  1 hour 56 mins         74.66   \n",
       "443   2022-12-28 10:28:00  2022-12-28 12:23:00  1 hour 55 mins         34.54   \n",
       "808   2022-12-30 15:21:00  2022-12-30 17:14:00  1 hour 52 mins         45.52   \n",
       "760   2022-12-30 15:12:00  2022-12-30 17:06:00  1 hour 54 mins         81.30   \n",
       "442   2022-12-28 10:27:00  2022-12-28 12:20:00  1 hour 52 mins         35.76   \n",
       "\n",
       "      Q. 1 /1.00  Q. 2 /1.00  ...  Q. 94 /1.00  Q. 95 /1.00  Q. 96 /1.00  \\\n",
       "1020         1.0         0.0  ...          0.0         0.00         1.00   \n",
       "825          1.0         0.0  ...          0.0         0.00         0.33   \n",
       "229          0.0         1.0  ...          0.0         0.67         1.00   \n",
       "375          0.0         0.0  ...          0.0         1.00         0.00   \n",
       "820          1.0         1.0  ...          0.0         1.00         1.00   \n",
       "...          ...         ...  ...          ...          ...          ...   \n",
       "866          1.0         1.0  ...          1.0         1.00         0.67   \n",
       "443          1.0         1.0  ...          0.5         1.00         1.00   \n",
       "808          1.0         1.0  ...          1.0         0.17         1.00   \n",
       "760          0.0         1.0  ...          1.0         0.00         1.00   \n",
       "442          1.0         0.0  ...          0.0         0.17         0.17   \n",
       "\n",
       "      Q. 97 /1.00  Q. 98 /1.00  Q. 99 /1.00  Q. 100 /1.00   label  \\\n",
       "1020          0.0          0.0          1.0          1.00  Failed   \n",
       "825           0.0          1.0          1.0          0.00  Failed   \n",
       "229           0.0          0.0          1.0          0.00  Failed   \n",
       "375           0.0          1.0          1.0          1.00  Passed   \n",
       "820           0.0          0.0          0.0          0.00  Passed   \n",
       "...           ...          ...          ...           ...     ...   \n",
       "866           0.0          1.0          1.0          0.00  Passed   \n",
       "443           0.0          0.0          0.0          0.00  Failed   \n",
       "808           1.0          0.0          0.0          1.00  Failed   \n",
       "760           0.0          1.0          1.0          1.00  Passed   \n",
       "442           0.0          0.0          0.0          0.17  Failed   \n",
       "\n",
       "                          name  pre_test_score  \n",
       "1020                  NHET TOU            None  \n",
       "825                   កង ចន្នី            None  \n",
       "229              កាំង សុផាន់ណា            None  \n",
       "375                   កឹម តុលា            None  \n",
       "820                កឹម សៀករតនៈ            None  \n",
       "...                        ...             ...  \n",
       "866                  អ៊ុំ សុធា            None  \n",
       "443                 អ៊ួង សារុន            None  \n",
       "808                   ឯក ដាលីស            None  \n",
       "760   ឯកសារន្ត ផៅសិរីសិរីបុត្រ            None  \n",
       "442            ឯម វណ្ណវ៉ារីណែត            None  \n",
       "\n",
       "[697 rows x 111 columns]"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test = df_test[df_test['name'].isin(mapped_name)]\n",
    "# df_test\n",
    "df_test['pre_test_score'] = None\n",
    "df_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "for name in mapped_name:\n",
    "    pre_test_score = df_pre_test[df_pre_test['name'] == name]['Grade/100.00'].values[0]\n",
    "    # print(name, pre_test_score)\n",
    "    df_test.loc[df_test['name']==name, 'pre_test_score'] = pre_test_score\n",
    "    # break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/dt/90w7dnxx5xzfd7px48yrrpt00000gn/T/ipykernel_87548/2180426753.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_test['diff'] = df_test['Grade/100.00'] - df_test['pre_test_score']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>pre_test_score</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>NHET TOU</td>\n",
       "      <td>nhettou.math@gmail.com</td>\n",
       "      <td>53.65</td>\n",
       "      <td>57.71</td>\n",
       "      <td>4.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>កង ចន្នី</td>\n",
       "      <td>dp23410@DSEPROVINCE23.com</td>\n",
       "      <td>34.94</td>\n",
       "      <td>48.18</td>\n",
       "      <td>13.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>កាំង សុផាន់ណា</td>\n",
       "      <td>D220129@DSEERA22.com</td>\n",
       "      <td>40.75</td>\n",
       "      <td>54.32</td>\n",
       "      <td>13.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>កឹម តុលា</td>\n",
       "      <td>D220570@DSEERA22.com</td>\n",
       "      <td>20.52</td>\n",
       "      <td>62.52</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>កឹម សៀករតនៈ</td>\n",
       "      <td>dp23411@DSEPROVINCE23.com</td>\n",
       "      <td>39.63</td>\n",
       "      <td>72.72</td>\n",
       "      <td>33.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>អ៊ុំ សុធា</td>\n",
       "      <td>dp23467@DSEPROVINCE23.com</td>\n",
       "      <td>48.42</td>\n",
       "      <td>74.66</td>\n",
       "      <td>26.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>អ៊ួង សារុន</td>\n",
       "      <td>D220729@DSEERA22.com</td>\n",
       "      <td>11.25</td>\n",
       "      <td>34.54</td>\n",
       "      <td>23.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>ឯក ដាលីស</td>\n",
       "      <td>D220357@DSEERA22.com</td>\n",
       "      <td>34.04</td>\n",
       "      <td>45.52</td>\n",
       "      <td>11.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>D220558@DSEERA22.com</td>\n",
       "      <td>60.75</td>\n",
       "      <td>81.30</td>\n",
       "      <td>20.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>ឯម វណ្ណវ៉ារីណែត</td>\n",
       "      <td>D220717@DSEERA22.com</td>\n",
       "      <td>23.17</td>\n",
       "      <td>35.76</td>\n",
       "      <td>12.59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>697 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          name              Email address pre_test_score  \\\n",
       "1020                  NHET TOU     nhettou.math@gmail.com          53.65   \n",
       "825                   កង ចន្នី  dp23410@DSEPROVINCE23.com          34.94   \n",
       "229              កាំង សុផាន់ណា       D220129@DSEERA22.com          40.75   \n",
       "375                   កឹម តុលា       D220570@DSEERA22.com          20.52   \n",
       "820                កឹម សៀករតនៈ  dp23411@DSEPROVINCE23.com          39.63   \n",
       "...                        ...                        ...            ...   \n",
       "866                  អ៊ុំ សុធា  dp23467@DSEPROVINCE23.com          48.42   \n",
       "443                 អ៊ួង សារុន       D220729@DSEERA22.com          11.25   \n",
       "808                   ឯក ដាលីស       D220357@DSEERA22.com          34.04   \n",
       "760   ឯកសារន្ត ផៅសិរីសិរីបុត្រ       D220558@DSEERA22.com          60.75   \n",
       "442            ឯម វណ្ណវ៉ារីណែត       D220717@DSEERA22.com          23.17   \n",
       "\n",
       "      Grade/100.00   diff  \n",
       "1020         57.71   4.06  \n",
       "825          48.18  13.24  \n",
       "229          54.32  13.57  \n",
       "375          62.52   42.0  \n",
       "820          72.72  33.09  \n",
       "...            ...    ...  \n",
       "866          74.66  26.24  \n",
       "443          34.54  23.29  \n",
       "808          45.52  11.48  \n",
       "760          81.30  20.55  \n",
       "442          35.76  12.59  \n",
       "\n",
       "[697 rows x 5 columns]"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test = df_test[['name', 'Email address','pre_test_score', 'Grade/100.00']]\n",
    "df_test['diff'] = df_test['Grade/100.00'] - df_test['pre_test_score']\n",
    "df_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check Improvement ALL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/dt/90w7dnxx5xzfd7px48yrrpt00000gn/T/ipykernel_87548/2083337847.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_test.loc[df_test['diff'] >= 0, 'improvement'] = True\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>pre_test_score</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>diff</th>\n",
       "      <th>improvement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>NHET TOU</td>\n",
       "      <td>nhettou.math@gmail.com</td>\n",
       "      <td>53.65</td>\n",
       "      <td>57.71</td>\n",
       "      <td>4.06</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>កង ចន្នី</td>\n",
       "      <td>dp23410@DSEPROVINCE23.com</td>\n",
       "      <td>34.94</td>\n",
       "      <td>48.18</td>\n",
       "      <td>13.24</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>កាំង សុផាន់ណា</td>\n",
       "      <td>D220129@DSEERA22.com</td>\n",
       "      <td>40.75</td>\n",
       "      <td>54.32</td>\n",
       "      <td>13.57</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>កឹម តុលា</td>\n",
       "      <td>D220570@DSEERA22.com</td>\n",
       "      <td>20.52</td>\n",
       "      <td>62.52</td>\n",
       "      <td>42.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>កឹម សៀករតនៈ</td>\n",
       "      <td>dp23411@DSEPROVINCE23.com</td>\n",
       "      <td>39.63</td>\n",
       "      <td>72.72</td>\n",
       "      <td>33.09</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>អ៊ុំ សុធា</td>\n",
       "      <td>dp23467@DSEPROVINCE23.com</td>\n",
       "      <td>48.42</td>\n",
       "      <td>74.66</td>\n",
       "      <td>26.24</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>អ៊ួង សារុន</td>\n",
       "      <td>D220729@DSEERA22.com</td>\n",
       "      <td>11.25</td>\n",
       "      <td>34.54</td>\n",
       "      <td>23.29</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>ឯក ដាលីស</td>\n",
       "      <td>D220357@DSEERA22.com</td>\n",
       "      <td>34.04</td>\n",
       "      <td>45.52</td>\n",
       "      <td>11.48</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>D220558@DSEERA22.com</td>\n",
       "      <td>60.75</td>\n",
       "      <td>81.30</td>\n",
       "      <td>20.55</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>ឯម វណ្ណវ៉ារីណែត</td>\n",
       "      <td>D220717@DSEERA22.com</td>\n",
       "      <td>23.17</td>\n",
       "      <td>35.76</td>\n",
       "      <td>12.59</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>697 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          name              Email address pre_test_score  \\\n",
       "1020                  NHET TOU     nhettou.math@gmail.com          53.65   \n",
       "825                   កង ចន្នី  dp23410@DSEPROVINCE23.com          34.94   \n",
       "229              កាំង សុផាន់ណា       D220129@DSEERA22.com          40.75   \n",
       "375                   កឹម តុលា       D220570@DSEERA22.com          20.52   \n",
       "820                កឹម សៀករតនៈ  dp23411@DSEPROVINCE23.com          39.63   \n",
       "...                        ...                        ...            ...   \n",
       "866                  អ៊ុំ សុធា  dp23467@DSEPROVINCE23.com          48.42   \n",
       "443                 អ៊ួង សារុន       D220729@DSEERA22.com          11.25   \n",
       "808                   ឯក ដាលីស       D220357@DSEERA22.com          34.04   \n",
       "760   ឯកសារន្ត ផៅសិរីសិរីបុត្រ       D220558@DSEERA22.com          60.75   \n",
       "442            ឯម វណ្ណវ៉ារីណែត       D220717@DSEERA22.com          23.17   \n",
       "\n",
       "      Grade/100.00   diff improvement  \n",
       "1020         57.71   4.06        True  \n",
       "825          48.18  13.24        True  \n",
       "229          54.32  13.57        True  \n",
       "375          62.52   42.0        True  \n",
       "820          72.72  33.09        True  \n",
       "...            ...    ...         ...  \n",
       "866          74.66  26.24        True  \n",
       "443          34.54  23.29        True  \n",
       "808          45.52  11.48        True  \n",
       "760          81.30  20.55        True  \n",
       "442          35.76  12.59        True  \n",
       "\n",
       "[697 rows x 6 columns]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test.loc[df_test['diff'] >= 0, 'improvement'] = True\n",
    "df_test.loc[df_test['diff'] < 0, 'improvement'] = False\n",
    "df_test\n",
    "\n",
    "# df_test.to_excel('./course_prep_dataset/improvement_list_mapped.xlsx', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Improvement Score :  16.464519368723085\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Counter({True: 633, False: 64})"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Average Improvement Score : \", df_test['diff'].mean())\n",
    "\n",
    "improvement = Counter(np.array(df_test['improvement']))\n",
    "improvement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outcome: True, Probability: 90.82%\n",
      "Outcome: False, Probability: 9.18%\n"
     ]
    }
   ],
   "source": [
    "# Calculate the total number of observations\n",
    "total_observations = sum(improvement.values())\n",
    "\n",
    "# Calculate the probability of each outcome\n",
    "probabilities = {outcome: count / total_observations for outcome, count in improvement.items()}\n",
    "\n",
    "# Display the result\n",
    "for outcome, probability in probabilities.items():\n",
    "    print(f\"Outcome: {outcome}, Probability: {probability:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "def display_improvement(sizes):\n",
    "    plt.figure(figsize=(6, 6))\n",
    "\n",
    "    # Sample data\n",
    "    labels = ['Improvement Rate', 'No Improvement Rate']\n",
    "    # sizes = [95.81, 4.19]\n",
    "    sizes = sizes\n",
    "\n",
    "    # Create a pie chart\n",
    "    plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=45)\n",
    "\n",
    "    # Draw a circle at the center of the pie to make it look like a donut chart (optional)\n",
    "    centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
    "    fig = plt.gcf()\n",
    "    fig.gca().add_artist(centre_circle)\n",
    "\n",
    "    # Equal aspect ratio ensures that pie is drawn as a circle\n",
    "    plt.axis('equal')\n",
    "    plt.title(\"Improvement Rate of Examinees Before and After Examination\")\n",
    "    # plt.legend()\n",
    "    plt.legend(labels, loc='lower center', bbox_to_anchor=(0.5, -0.05), ncol=len(labels))\n",
    "\n",
    "\n",
    "    # Display the pie chart\n",
    "    return plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_improvement([90.82, 9.18])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check Improvement PASSED Only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outcome: True, Probability: 95.81%\n",
      "Outcome: False, Probability: 4.19%\n"
     ]
    }
   ],
   "source": [
    "df_test_passed = df_test[df_test['Grade/100.00'] >= 60]\n",
    "df_test_passed.loc[df_test_passed['diff'] >= 0, 'improvement'] = True\n",
    "df_test_passed.loc[df_test_passed['diff'] < 0, 'improvement'] = False\n",
    "\n",
    "improvement = Counter(np.array(df_test_passed['improvement']))\n",
    "improvement\n",
    "\n",
    "# Calculate the total number of observations\n",
    "total_observations = sum(improvement.values())\n",
    "\n",
    "# Calculate the probability of each outcome\n",
    "probabilities = {outcome: count / total_observations for outcome, count in improvement.items()}\n",
    "\n",
    "# Display the result\n",
    "for outcome, probability in probabilities.items():\n",
    "    print(f\"Outcome: {outcome}, Probability: {probability:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Improvement Score :  19.177290322580642\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Counter({True: 297, False: 13})"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Average Improvement Score : \", df_test_passed['diff'].mean())\n",
    "\n",
    "improvement = Counter(np.array(df_test_passed['improvement']))\n",
    "improvement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>pre_test_score</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>diff</th>\n",
       "      <th>improvement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>កឹម តុលា</td>\n",
       "      <td>D220570@DSEERA22.com</td>\n",
       "      <td>20.52</td>\n",
       "      <td>62.52</td>\n",
       "      <td>42.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>កឹម សៀករតនៈ</td>\n",
       "      <td>dp23411@DSEPROVINCE23.com</td>\n",
       "      <td>39.63</td>\n",
       "      <td>72.72</td>\n",
       "      <td>33.09</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>កុយ ថារី</td>\n",
       "      <td>D220137@DSEERA22.com</td>\n",
       "      <td>38.46</td>\n",
       "      <td>60.35</td>\n",
       "      <td>21.89</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>កេត មេសា</td>\n",
       "      <td>D220368@DSEERA22.com</td>\n",
       "      <td>52.42</td>\n",
       "      <td>68.73</td>\n",
       "      <td>16.31</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>កែវ ច័ន្ទរ៉ានិច</td>\n",
       "      <td>D220369@DSEERA22.com</td>\n",
       "      <td>58.42</td>\n",
       "      <td>74.92</td>\n",
       "      <td>16.5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>អ៊ុន សាវន</td>\n",
       "      <td>D220351@DSEERA22.com</td>\n",
       "      <td>41.83</td>\n",
       "      <td>60.17</td>\n",
       "      <td>18.34</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>អ៊ុយ សុភ័ក្ដ្រ</td>\n",
       "      <td>D220365@DSEERA22.com</td>\n",
       "      <td>48.71</td>\n",
       "      <td>64.89</td>\n",
       "      <td>16.18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>អ៊ុំ ពុទ្ធាវី</td>\n",
       "      <td>D220337@DSEERA22.com</td>\n",
       "      <td>43.06</td>\n",
       "      <td>66.53</td>\n",
       "      <td>23.47</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>អ៊ុំ សុធា</td>\n",
       "      <td>dp23467@DSEPROVINCE23.com</td>\n",
       "      <td>48.42</td>\n",
       "      <td>74.66</td>\n",
       "      <td>26.24</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>D220558@DSEERA22.com</td>\n",
       "      <td>60.75</td>\n",
       "      <td>81.30</td>\n",
       "      <td>20.55</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>310 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         name              Email address pre_test_score  \\\n",
       "375                  កឹម តុលា       D220570@DSEERA22.com          20.52   \n",
       "820               កឹម សៀករតនៈ  dp23411@DSEPROVINCE23.com          39.63   \n",
       "205                  កុយ ថារី       D220137@DSEERA22.com          38.46   \n",
       "586                  កេត មេសា       D220368@DSEERA22.com          52.42   \n",
       "569           កែវ ច័ន្ទរ៉ានិច       D220369@DSEERA22.com          58.42   \n",
       "..                        ...                        ...            ...   \n",
       "781                 អ៊ុន សាវន       D220351@DSEERA22.com          41.83   \n",
       "799            អ៊ុយ សុភ័ក្ដ្រ       D220365@DSEERA22.com          48.71   \n",
       "783             អ៊ុំ ពុទ្ធាវី       D220337@DSEERA22.com          43.06   \n",
       "866                 អ៊ុំ សុធា  dp23467@DSEPROVINCE23.com          48.42   \n",
       "760  ឯកសារន្ត ផៅសិរីសិរីបុត្រ       D220558@DSEERA22.com          60.75   \n",
       "\n",
       "     Grade/100.00   diff improvement  \n",
       "375         62.52   42.0        True  \n",
       "820         72.72  33.09        True  \n",
       "205         60.35  21.89        True  \n",
       "586         68.73  16.31        True  \n",
       "569         74.92   16.5        True  \n",
       "..            ...    ...         ...  \n",
       "781         60.17  18.34        True  \n",
       "799         64.89  16.18        True  \n",
       "783         66.53  23.47        True  \n",
       "866         74.66  26.24        True  \n",
       "760         81.30  20.55        True  \n",
       "\n",
       "[310 rows x 6 columns]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test_passed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_improvement([95.81, 4.19])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt.figure(figsize=(8, 6))\n",
    "\n",
    "# # Sample data\n",
    "# labels = ['Improvement', 'No Improvement']\n",
    "# sizes = [95.81, 4.19]\n",
    "\n",
    "# # Create a pie chart\n",
    "# plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=45)\n",
    "\n",
    "# # Draw a circle at the center of the pie to make it look like a donut chart (optional)\n",
    "# centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
    "# fig = plt.gcf()\n",
    "# fig.gca().add_artist(centre_circle)\n",
    "\n",
    "# # Equal aspect ratio ensures that pie is drawn as a circle\n",
    "# plt.axis('equal')\n",
    "# plt.title(\"Improvement Rate of Examinees Before and After Examination\")\n",
    "# plt.legend()\n",
    "\n",
    "# # Display the pie chart\n",
    "# plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Improvement Score :  19.177290322580642\n"
     ]
    }
   ],
   "source": [
    "print(\"Average Improvement Score : \", df_test_passed['diff'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>pre_test_score</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>diff</th>\n",
       "      <th>improvement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>កឹម តុលា</td>\n",
       "      <td>D220570@DSEERA22.com</td>\n",
       "      <td>20.52</td>\n",
       "      <td>62.52</td>\n",
       "      <td>42.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>កឹម សៀករតនៈ</td>\n",
       "      <td>dp23411@DSEPROVINCE23.com</td>\n",
       "      <td>39.63</td>\n",
       "      <td>72.72</td>\n",
       "      <td>33.09</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>កុយ ថារី</td>\n",
       "      <td>D220137@DSEERA22.com</td>\n",
       "      <td>38.46</td>\n",
       "      <td>60.35</td>\n",
       "      <td>21.89</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>កេត មេសា</td>\n",
       "      <td>D220368@DSEERA22.com</td>\n",
       "      <td>52.42</td>\n",
       "      <td>68.73</td>\n",
       "      <td>16.31</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>កែវ ច័ន្ទរ៉ានិច</td>\n",
       "      <td>D220369@DSEERA22.com</td>\n",
       "      <td>58.42</td>\n",
       "      <td>74.92</td>\n",
       "      <td>16.5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>អ៊ុន សាវន</td>\n",
       "      <td>D220351@DSEERA22.com</td>\n",
       "      <td>41.83</td>\n",
       "      <td>60.17</td>\n",
       "      <td>18.34</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>អ៊ុយ សុភ័ក្ដ្រ</td>\n",
       "      <td>D220365@DSEERA22.com</td>\n",
       "      <td>48.71</td>\n",
       "      <td>64.89</td>\n",
       "      <td>16.18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>អ៊ុំ ពុទ្ធាវី</td>\n",
       "      <td>D220337@DSEERA22.com</td>\n",
       "      <td>43.06</td>\n",
       "      <td>66.53</td>\n",
       "      <td>23.47</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>អ៊ុំ សុធា</td>\n",
       "      <td>dp23467@DSEPROVINCE23.com</td>\n",
       "      <td>48.42</td>\n",
       "      <td>74.66</td>\n",
       "      <td>26.24</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>ឯកសារន្ត ផៅសិរីសិរីបុត្រ</td>\n",
       "      <td>D220558@DSEERA22.com</td>\n",
       "      <td>60.75</td>\n",
       "      <td>81.30</td>\n",
       "      <td>20.55</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>310 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         name              Email address pre_test_score  \\\n",
       "375                  កឹម តុលា       D220570@DSEERA22.com          20.52   \n",
       "820               កឹម សៀករតនៈ  dp23411@DSEPROVINCE23.com          39.63   \n",
       "205                  កុយ ថារី       D220137@DSEERA22.com          38.46   \n",
       "586                  កេត មេសា       D220368@DSEERA22.com          52.42   \n",
       "569           កែវ ច័ន្ទរ៉ានិច       D220369@DSEERA22.com          58.42   \n",
       "..                        ...                        ...            ...   \n",
       "781                 អ៊ុន សាវន       D220351@DSEERA22.com          41.83   \n",
       "799            អ៊ុយ សុភ័ក្ដ្រ       D220365@DSEERA22.com          48.71   \n",
       "783             អ៊ុំ ពុទ្ធាវី       D220337@DSEERA22.com          43.06   \n",
       "866                 អ៊ុំ សុធា  dp23467@DSEPROVINCE23.com          48.42   \n",
       "760  ឯកសារន្ត ផៅសិរីសិរីបុត្រ       D220558@DSEERA22.com          60.75   \n",
       "\n",
       "     Grade/100.00   diff improvement  \n",
       "375         62.52   42.0        True  \n",
       "820         72.72  33.09        True  \n",
       "205         60.35  21.89        True  \n",
       "586         68.73  16.31        True  \n",
       "569         74.92   16.5        True  \n",
       "..            ...    ...         ...  \n",
       "781         60.17  18.34        True  \n",
       "799         64.89  16.18        True  \n",
       "783         66.53  23.47        True  \n",
       "866         74.66  26.24        True  \n",
       "760         81.30  20.55        True  \n",
       "\n",
       "[310 rows x 6 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test_passed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check Improvement FAILED Only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outcome: True, Probability: 86.82%\n",
      "Outcome: False, Probability: 13.18%\n"
     ]
    }
   ],
   "source": [
    "df_test_failed = df_test[df_test['Grade/100.00'] < 60]\n",
    "df_test_failed.loc[df_test_failed['diff'] >= 0, 'improvement'] = True\n",
    "df_test_failed.loc[df_test_failed['diff'] < 0, 'improvement'] = False\n",
    "\n",
    "improvement = Counter(np.array(df_test_failed['improvement']))\n",
    "improvement\n",
    "\n",
    "# Calculate the total number of observations\n",
    "total_observations = sum(improvement.values())\n",
    "\n",
    "# Calculate the probability of each outcome\n",
    "probabilities = {outcome: count / total_observations for outcome, count in improvement.items()}\n",
    "\n",
    "# Display the result\n",
    "for outcome, probability in probabilities.items():\n",
    "    print(f\"Outcome: {outcome}, Probability: {probability:.2%}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Improvement Score :  14.29149870801034\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Counter({True: 336, False: 51})"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Average Improvement Score : \", df_test_failed['diff'].mean())\n",
    "\n",
    "improvement = Counter(np.array(df_test_failed['improvement']))\n",
    "improvement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>pre_test_score</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>diff</th>\n",
       "      <th>improvement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>NHET TOU</td>\n",
       "      <td>nhettou.math@gmail.com</td>\n",
       "      <td>53.65</td>\n",
       "      <td>57.71</td>\n",
       "      <td>4.06</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>កង ចន្នី</td>\n",
       "      <td>dp23410@DSEPROVINCE23.com</td>\n",
       "      <td>34.94</td>\n",
       "      <td>48.18</td>\n",
       "      <td>13.24</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>កាំង សុផាន់ណា</td>\n",
       "      <td>D220129@DSEERA22.com</td>\n",
       "      <td>40.75</td>\n",
       "      <td>54.32</td>\n",
       "      <td>13.57</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>កឺម វណ្ណហ្វីដែល</td>\n",
       "      <td>D220571@DSEERA22.com</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52.83</td>\n",
       "      <td>52.83</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>កុយ វិច្ឆានី</td>\n",
       "      <td>dp233002@DSEPROVINCE23.com</td>\n",
       "      <td>32.56</td>\n",
       "      <td>40.75</td>\n",
       "      <td>8.19</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>អ៊ុច សុភ័ក្ដ្រ</td>\n",
       "      <td>D220364@DSEERA22.com</td>\n",
       "      <td>33.71</td>\n",
       "      <td>52.96</td>\n",
       "      <td>19.25</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>អ៊ុយ ធីដែន</td>\n",
       "      <td>D220728@DSEERA22.com</td>\n",
       "      <td>26.81</td>\n",
       "      <td>42.10</td>\n",
       "      <td>15.29</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>អ៊ួង សារុន</td>\n",
       "      <td>D220729@DSEERA22.com</td>\n",
       "      <td>11.25</td>\n",
       "      <td>34.54</td>\n",
       "      <td>23.29</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>ឯក ដាលីស</td>\n",
       "      <td>D220357@DSEERA22.com</td>\n",
       "      <td>34.04</td>\n",
       "      <td>45.52</td>\n",
       "      <td>11.48</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>ឯម វណ្ណវ៉ារីណែត</td>\n",
       "      <td>D220717@DSEERA22.com</td>\n",
       "      <td>23.17</td>\n",
       "      <td>35.76</td>\n",
       "      <td>12.59</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>387 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 name               Email address pre_test_score  \\\n",
       "1020         NHET TOU      nhettou.math@gmail.com          53.65   \n",
       "825          កង ចន្នី   dp23410@DSEPROVINCE23.com          34.94   \n",
       "229     កាំង សុផាន់ណា        D220129@DSEERA22.com          40.75   \n",
       "364   កឺម វណ្ណហ្វីដែល        D220571@DSEERA22.com            0.0   \n",
       "1268     កុយ វិច្ឆានី  dp233002@DSEPROVINCE23.com          32.56   \n",
       "...               ...                         ...            ...   \n",
       "796    អ៊ុច សុភ័ក្ដ្រ        D220364@DSEERA22.com          33.71   \n",
       "432        អ៊ុយ ធីដែន        D220728@DSEERA22.com          26.81   \n",
       "443        អ៊ួង សារុន        D220729@DSEERA22.com          11.25   \n",
       "808          ឯក ដាលីស        D220357@DSEERA22.com          34.04   \n",
       "442   ឯម វណ្ណវ៉ារីណែត        D220717@DSEERA22.com          23.17   \n",
       "\n",
       "      Grade/100.00   diff improvement  \n",
       "1020         57.71   4.06        True  \n",
       "825          48.18  13.24        True  \n",
       "229          54.32  13.57        True  \n",
       "364          52.83  52.83        True  \n",
       "1268         40.75   8.19        True  \n",
       "...            ...    ...         ...  \n",
       "796          52.96  19.25        True  \n",
       "432          42.10  15.29        True  \n",
       "443          34.54  23.29        True  \n",
       "808          45.52  11.48        True  \n",
       "442          35.76  12.59        True  \n",
       "\n",
       "[387 rows x 6 columns]"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_test_failed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_improvement([86.82, 13.18])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Improvement Score :  14.29149870801034\n"
     ]
    }
   ],
   "source": [
    "print(\"Average Improvement Score : \", df_test_failed['diff'].mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## From Failed to Passed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>Email address</th>\n",
       "      <th>pre_test_score</th>\n",
       "      <th>Grade/100.00</th>\n",
       "      <th>diff</th>\n",
       "      <th>improvement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>កឹម តុលា</td>\n",
       "      <td>D220570@DSEERA22.com</td>\n",
       "      <td>20.52</td>\n",
       "      <td>62.52</td>\n",
       "      <td>42.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>កឹម សៀករតនៈ</td>\n",
       "      <td>dp23411@DSEPROVINCE23.com</td>\n",
       "      <td>39.63</td>\n",
       "      <td>72.72</td>\n",
       "      <td>33.09</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>កុយ ថារី</td>\n",
       "      <td>D220137@DSEERA22.com</td>\n",
       "      <td>38.46</td>\n",
       "      <td>60.35</td>\n",
       "      <td>21.89</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>កេត មេសា</td>\n",
       "      <td>D220368@DSEERA22.com</td>\n",
       "      <td>52.42</td>\n",
       "      <td>68.73</td>\n",
       "      <td>16.31</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>កែវ ច័ន្ទរ៉ានិច</td>\n",
       "      <td>D220369@DSEERA22.com</td>\n",
       "      <td>58.42</td>\n",
       "      <td>74.92</td>\n",
       "      <td>16.5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1310</th>\n",
       "      <td>អ៊ុក សាវន</td>\n",
       "      <td>dp233067@DSEPROVINCE23.com</td>\n",
       "      <td>50.33</td>\n",
       "      <td>77.12</td>\n",
       "      <td>26.79</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>អ៊ុន សាវន</td>\n",
       "      <td>D220351@DSEERA22.com</td>\n",
       "      <td>41.83</td>\n",
       "      <td>60.17</td>\n",
       "      <td>18.34</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>អ៊ុយ សុភ័ក្ដ្រ</td>\n",
       "      <td>D220365@DSEERA22.com</td>\n",
       "      <td>48.71</td>\n",
       "      <td>64.89</td>\n",
       "      <td>16.18</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>អ៊ុំ ពុទ្ធាវី</td>\n",
       "      <td>D220337@DSEERA22.com</td>\n",
       "      <td>43.06</td>\n",
       "      <td>66.53</td>\n",
       "      <td>23.47</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>អ៊ុំ សុធា</td>\n",
       "      <td>dp23467@DSEPROVINCE23.com</td>\n",
       "      <td>48.42</td>\n",
       "      <td>74.66</td>\n",
       "      <td>26.24</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 name               Email address pre_test_score  \\\n",
       "375          កឹម តុលា        D220570@DSEERA22.com          20.52   \n",
       "820       កឹម សៀករតនៈ   dp23411@DSEPROVINCE23.com          39.63   \n",
       "205          កុយ ថារី        D220137@DSEERA22.com          38.46   \n",
       "586          កេត មេសា        D220368@DSEERA22.com          52.42   \n",
       "569   កែវ ច័ន្ទរ៉ានិច        D220369@DSEERA22.com          58.42   \n",
       "...               ...                         ...            ...   \n",
       "1310        អ៊ុក សាវន  dp233067@DSEPROVINCE23.com          50.33   \n",
       "781         អ៊ុន សាវន        D220351@DSEERA22.com          41.83   \n",
       "799    អ៊ុយ សុភ័ក្ដ្រ        D220365@DSEERA22.com          48.71   \n",
       "783     អ៊ុំ ពុទ្ធាវី        D220337@DSEERA22.com          43.06   \n",
       "866         អ៊ុំ សុធា   dp23467@DSEPROVINCE23.com          48.42   \n",
       "\n",
       "      Grade/100.00   diff improvement  \n",
       "375          62.52   42.0        True  \n",
       "820          72.72  33.09        True  \n",
       "205          60.35  21.89        True  \n",
       "586          68.73  16.31        True  \n",
       "569          74.92   16.5        True  \n",
       "...            ...    ...         ...  \n",
       "1310         77.12  26.79        True  \n",
       "781          60.17  18.34        True  \n",
       "799          64.89  16.18        True  \n",
       "783          66.53  23.47        True  \n",
       "866          74.66  26.24        True  \n",
       "\n",
       "[203 rows x 6 columns]"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "failed_to_passed = df_test[(df_test['Grade/100.00'] >= 60) & (df_test['pre_test_score'] <= 60)]\n",
    "failed_to_passed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25.281921182266018"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "failed_to_passed['diff'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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