survey Analysis (1).ipynb

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    "ExecuteTime": {
     "end_time": "2021-08-15T10:55:35.686471Z",
     "start_time": "2021-08-15T10:55:35.652241Z"
    }
   },
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   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "pd.set_option('display.max_columns', None)\n",
    "#df=pd.read_csv(\"all3_merged_chron.csv\")\n",
    "df=pd.read_csv(\"pp_pe_merged_chron.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:57:23.700905Z",
     "start_time": "2021-08-15T10:57:23.658904Z"
    },
    "scrolled": true
   },
   "outputs": [
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       "        }</style><table id=\"T_92195af2_fdb7_11eb_9495_acde48001122\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >missing %</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row0\" class=\"row_heading level0 row0\" >Please tell us a bit about why you selected the answer above._x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row0_col0\" class=\"data row0 col0\" >48.658718</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row1\" class=\"row_heading level0 row1\" >Please tell us a bit about why you selected the answer above._y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row1_col0\" class=\"data row1 col0\" >48.211624</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row2\" class=\"row_heading level0 row2\" >How easy was it to access the online content?</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row2_col0\" class=\"data row2 col0\" >31.967213</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row3\" class=\"row_heading level0 row3\" >How easy was it to navigate the website to find relevant product options?</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row3_col0\" class=\"data row3 col0\" >30.923994</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row4\" class=\"row_heading level0 row4\" >How easy was it to complete your purchase?</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row4_col0\" class=\"data row4 col0\" >18.926975</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row5\" class=\"row_heading level0 row5\" >Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row5_col0\" class=\"data row5 col0\" >2.608048</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row6\" class=\"row_heading level0 row6\" >NPS class_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row6_col0\" class=\"data row6 col0\" >2.160954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row7\" class=\"row_heading level0 row7\" >Based on your recent experience, how likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row7_col0\" class=\"data row7 col0\" >2.160954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row8\" class=\"row_heading level0 row8\" >Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row8_col0\" class=\"data row8 col0\" >1.341282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row9\" class=\"row_heading level0 row9\" >I am confident that I will achieve the goals that I set for myself.</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row9_col0\" class=\"data row9 col0\" >1.192250</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row10\" class=\"row_heading level0 row10\" >NPS class_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row10_col0\" class=\"data row10 col0\" >0.968703</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row11\" class=\"row_heading level0 row11\" >How likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row11_col0\" class=\"data row11 col0\" >0.968703</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row12\" class=\"row_heading level0 row12\" >I am confident that I achieved the goals that I set for myself.</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row12_col0\" class=\"data row12 col0\" >0.372578</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row13\" class=\"row_heading level0 row13\" >Course content that can be applied to the \"Real World\"_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row13_col0\" class=\"data row13 col0\" >0.000000</td>\n",
       "            </tr>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row14\" class=\"row_heading level0 row14\" >Difficulty of the practice questions_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row14_col0\" class=\"data row14 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row15\" class=\"row_heading level0 row15\" >Variety of the study materials_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row15_col0\" class=\"data row15 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row16\" class=\"row_heading level0 row16\" >Study materials available on a mobile device_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row16_col0\" class=\"data row16 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row17\" class=\"row_heading level0 row17\" >Quality of the product_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row17_col0\" class=\"data row17 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row18\" class=\"row_heading level0 row18\" >Technical support_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row18_col0\" class=\"data row18 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row19\" class=\"row_heading level0 row19\" >Pass guarantee_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row19_col0\" class=\"data row19 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row20\" class=\"row_heading level0 row20\" >Price_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row20_col0\" class=\"data row20 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row21\" class=\"row_heading level0 row21\" >Brand reputation_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row21_col0\" class=\"data row21 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row22\" class=\"row_heading level0 row22\" >Custom Data 5</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row22_col0\" class=\"data row22 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row23\" class=\"row_heading level0 row23\" >Custom Data 4_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row23_col0\" class=\"data row23 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row24\" class=\"row_heading level0 row24\" >Last Name_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row24_col0\" class=\"data row24 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row25\" class=\"row_heading level0 row25\" >First Name_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row25_col0\" class=\"data row25 col0\" >0.000000</td>\n",
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       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row26\" class=\"row_heading level0 row26\" >Email Address_x</th>\n",
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       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row27_col0\" class=\"data row27 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row28\" class=\"row_heading level0 row28\" >End Date_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row28_col0\" class=\"data row28 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row29\" class=\"row_heading level0 row29\" >Start Date_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row29_col0\" class=\"data row29 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row30\" class=\"row_heading level0 row30\" >Collector ID_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row30_col0\" class=\"data row30 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row31\" class=\"row_heading level0 row31\" >Respondent ID_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row31_col0\" class=\"data row31 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row32\" class=\"row_heading level0 row32\" >Quantity of the practice questions_x</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row32_col0\" class=\"data row32 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row33\" class=\"row_heading level0 row33\" >Technical support_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row33_col0\" class=\"data row33 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row34\" class=\"row_heading level0 row34\" >Pass guarantee_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row34_col0\" class=\"data row34 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row35\" class=\"row_heading level0 row35\" >Course content that can be applied to the \"Real World\"_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row35_col0\" class=\"data row35 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row36\" class=\"row_heading level0 row36\" >Price_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row36_col0\" class=\"data row36 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row37\" class=\"row_heading level0 row37\" >Brand reputation_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row37_col0\" class=\"data row37 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row38\" class=\"row_heading level0 row38\" >How did you do on your exam?</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row38_col0\" class=\"data row38 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row39\" class=\"row_heading level0 row39\" >Custom Data 4_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row39_col0\" class=\"data row39 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row40\" class=\"row_heading level0 row40\" >Last Name_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row40_col0\" class=\"data row40 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row41\" class=\"row_heading level0 row41\" >First Name_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row41_col0\" class=\"data row41 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row42\" class=\"row_heading level0 row42\" >Email Address_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row42_col0\" class=\"data row42 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row43\" class=\"row_heading level0 row43\" >IP Address_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row43_col0\" class=\"data row43 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row44\" class=\"row_heading level0 row44\" >End Date_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row44_col0\" class=\"data row44 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row45\" class=\"row_heading level0 row45\" >Start Date_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row45_col0\" class=\"data row45 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row46\" class=\"row_heading level0 row46\" >Collector ID_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row46_col0\" class=\"data row46 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row47\" class=\"row_heading level0 row47\" >Respondent ID_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row47_col0\" class=\"data row47 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row48\" class=\"row_heading level0 row48\" >Quality of the product_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row48_col0\" class=\"data row48 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row49\" class=\"row_heading level0 row49\" >Study materials available on a mobile device_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row49_col0\" class=\"data row49 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row50\" class=\"row_heading level0 row50\" >Variety of the study materials_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row50_col0\" class=\"data row50 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row51\" class=\"row_heading level0 row51\" >Difficulty of the practice questions_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row51_col0\" class=\"data row51 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row52\" class=\"row_heading level0 row52\" >Quantity of the practice questions_y</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row52_col0\" class=\"data row52 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_92195af2_fdb7_11eb_9495_acde48001122level0_row53\" class=\"row_heading level0 row53\" >Unnamed: 0</th>\n",
       "                        <td id=\"T_92195af2_fdb7_11eb_9495_acde48001122row53_col0\" class=\"data row53 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f869d09e890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp = pd.DataFrame(df.isna().sum().sort_values(ascending=False)*100/df.shape[0],columns=['missing %'])\n",
    "display(temp.style.background_gradient(cmap='Purples'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:57:28.733418Z",
     "start_time": "2021-08-15T10:57:27.769774Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Handling remaining missing values:\n",
    "import missingno as msno\n",
    "\n",
    "sorted = df[df.columns[df.isnull().any()].tolist()].sort_values('NPS class_y')\n",
    "#msno.matrix(sorted)\n",
    "msno.heatmap(sorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:57:32.547702Z",
     "start_time": "2021-08-15T10:57:32.505698Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "            background-color:  #fcfbfd;\n",
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       "            background-color:  #fcfbfd;\n",
       "            color:  #000000;\n",
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       "            background-color:  #fcfbfd;\n",
       "            color:  #000000;\n",
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       "            background-color:  #fcfbfd;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_975fa41c_fdb7_11eb_9495_acde48001122\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >missing %</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row0\" class=\"row_heading level0 row0\" >How easy was it to access the online content?</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row0_col0\" class=\"data row0 col0\" >31.967213</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row1\" class=\"row_heading level0 row1\" >How easy was it to navigate the website to find relevant product options?</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row1_col0\" class=\"data row1 col0\" >30.923994</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row2\" class=\"row_heading level0 row2\" >How easy was it to complete your purchase?</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row2_col0\" class=\"data row2 col0\" >18.926975</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row3\" class=\"row_heading level0 row3\" >Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row3_col0\" class=\"data row3 col0\" >2.608048</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row4\" class=\"row_heading level0 row4\" >Based on your recent experience, how likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row4_col0\" class=\"data row4 col0\" >2.160954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row5\" class=\"row_heading level0 row5\" >NPS class_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row5_col0\" class=\"data row5 col0\" >2.160954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row6\" class=\"row_heading level0 row6\" >Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row6_col0\" class=\"data row6 col0\" >1.341282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row7\" class=\"row_heading level0 row7\" >I am confident that I will achieve the goals that I set for myself.</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row7_col0\" class=\"data row7 col0\" >1.192250</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row8\" class=\"row_heading level0 row8\" >NPS class_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row8_col0\" class=\"data row8 col0\" >0.968703</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row9\" class=\"row_heading level0 row9\" >How likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row9_col0\" class=\"data row9 col0\" >0.968703</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row10\" class=\"row_heading level0 row10\" >I am confident that I achieved the goals that I set for myself.</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row10_col0\" class=\"data row10 col0\" >0.372578</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row11\" class=\"row_heading level0 row11\" >Course content that can be applied to the \"Real World\"_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row11_col0\" class=\"data row11 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row12\" class=\"row_heading level0 row12\" >Difficulty of the practice questions_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row12_col0\" class=\"data row12 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row13\" class=\"row_heading level0 row13\" >Variety of the study materials_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row13_col0\" class=\"data row13 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row14\" class=\"row_heading level0 row14\" >Study materials available on a mobile device_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row14_col0\" class=\"data row14 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row15\" class=\"row_heading level0 row15\" >Quality of the product_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row15_col0\" class=\"data row15 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row16\" class=\"row_heading level0 row16\" >Technical support_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row16_col0\" class=\"data row16 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row17\" class=\"row_heading level0 row17\" >Pass guarantee_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row17_col0\" class=\"data row17 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row18\" class=\"row_heading level0 row18\" >Price_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row18_col0\" class=\"data row18 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row19\" class=\"row_heading level0 row19\" >Brand reputation_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row19_col0\" class=\"data row19 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row20\" class=\"row_heading level0 row20\" >Custom Data 5</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row20_col0\" class=\"data row20 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row21\" class=\"row_heading level0 row21\" >Custom Data 4_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row21_col0\" class=\"data row21 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row22\" class=\"row_heading level0 row22\" >Last Name_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row22_col0\" class=\"data row22 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row23\" class=\"row_heading level0 row23\" >First Name_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row23_col0\" class=\"data row23 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row24\" class=\"row_heading level0 row24\" >Email Address_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row24_col0\" class=\"data row24 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row25\" class=\"row_heading level0 row25\" >IP Address_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row25_col0\" class=\"data row25 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row26\" class=\"row_heading level0 row26\" >End Date_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row26_col0\" class=\"data row26 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row27\" class=\"row_heading level0 row27\" >Start Date_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row27_col0\" class=\"data row27 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row28\" class=\"row_heading level0 row28\" >Collector ID_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row28_col0\" class=\"data row28 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row29\" class=\"row_heading level0 row29\" >Respondent ID_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row29_col0\" class=\"data row29 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row30\" class=\"row_heading level0 row30\" >Quantity of the practice questions_x</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row30_col0\" class=\"data row30 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row31\" class=\"row_heading level0 row31\" >Quality of the product_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row31_col0\" class=\"data row31 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row32\" class=\"row_heading level0 row32\" >Technical support_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row32_col0\" class=\"data row32 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row33\" class=\"row_heading level0 row33\" >Course content that can be applied to the \"Real World\"_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row33_col0\" class=\"data row33 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row34\" class=\"row_heading level0 row34\" >Pass guarantee_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row34_col0\" class=\"data row34 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row35\" class=\"row_heading level0 row35\" >Price_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row35_col0\" class=\"data row35 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row36\" class=\"row_heading level0 row36\" >Brand reputation_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row36_col0\" class=\"data row36 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row37\" class=\"row_heading level0 row37\" >How did you do on your exam?</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row37_col0\" class=\"data row37 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row38\" class=\"row_heading level0 row38\" >Custom Data 4_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row38_col0\" class=\"data row38 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row39\" class=\"row_heading level0 row39\" >Last Name_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row39_col0\" class=\"data row39 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row40\" class=\"row_heading level0 row40\" >First Name_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row40_col0\" class=\"data row40 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row41\" class=\"row_heading level0 row41\" >Email Address_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row41_col0\" class=\"data row41 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row42\" class=\"row_heading level0 row42\" >IP Address_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row42_col0\" class=\"data row42 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row43\" class=\"row_heading level0 row43\" >End Date_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row43_col0\" class=\"data row43 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row44\" class=\"row_heading level0 row44\" >Start Date_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row44_col0\" class=\"data row44 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row45\" class=\"row_heading level0 row45\" >Collector ID_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row45_col0\" class=\"data row45 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row46\" class=\"row_heading level0 row46\" >Respondent ID_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row46_col0\" class=\"data row46 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row47\" class=\"row_heading level0 row47\" >Study materials available on a mobile device_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row47_col0\" class=\"data row47 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row48\" class=\"row_heading level0 row48\" >Variety of the study materials_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row48_col0\" class=\"data row48 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row49\" class=\"row_heading level0 row49\" >Difficulty of the practice questions_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row49_col0\" class=\"data row49 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row50\" class=\"row_heading level0 row50\" >Quantity of the practice questions_y</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row50_col0\" class=\"data row50 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_975fa41c_fdb7_11eb_9495_acde48001122level0_row51\" class=\"row_heading level0 row51\" >Unnamed: 0</th>\n",
       "                        <td id=\"T_975fa41c_fdb7_11eb_9495_acde48001122row51_col0\" class=\"data row51 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f869a4e7990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Deleting columns and their pairs above a certain percentage missing\n",
    "\n",
    "def delete(threshold_prec,df):\n",
    "    temp = pd.DataFrame(df.isna().sum().sort_values(ascending=False)*100/df.shape[0],columns=['missing %'])\n",
    "    f=temp.index\n",
    "    a=list(temp[temp[\"missing %\"]>threshold_prec].index)\n",
    "    for i in a:\n",
    "        c=str(i[:-1])\n",
    "        d=[x for x in f if c in x]\n",
    "        for j in d:\n",
    "            if j not in a:\n",
    "                a.append(j)\n",
    "    df.drop(columns=a,inplace=True)\n",
    "\n",
    "delete(45,df)\n",
    "temp = pd.DataFrame(df.isna().sum().sort_values(ascending=False)*100/df.shape[0],columns=['missing %'])\n",
    "display(temp.style.background_gradient(cmap='Purples'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Missing values higly correlated, instead of deleting columns itself which may lead to loss of important independent variable, I am deleting rows, as the missing values are highly correlated this action will remove missing datapoints for most of the features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:57:40.316326Z",
     "start_time": "2021-08-15T10:57:40.276108Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
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       "            background-color:  #fcfbfd;\n",
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       "            background-color:  #fcfbfd;\n",
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       "            background-color:  #fcfbfd;\n",
       "            color:  #000000;\n",
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       "            background-color:  #fcfbfd;\n",
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       "        }</style><table id=\"T_9c0112da_fdb7_11eb_9495_acde48001122\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >missing %</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row0\" class=\"row_heading level0 row0\" >How easy was it to access the online content?</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row0_col0\" class=\"data row0 col0\" >31.967213</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row1\" class=\"row_heading level0 row1\" >How easy was it to navigate the website to find relevant product options?</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row1_col0\" class=\"data row1 col0\" >30.923994</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row2\" class=\"row_heading level0 row2\" >How easy was it to complete your purchase?</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row2_col0\" class=\"data row2 col0\" >18.926975</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row3\" class=\"row_heading level0 row3\" >Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row3_col0\" class=\"data row3 col0\" >2.608048</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row4\" class=\"row_heading level0 row4\" >Based on your recent experience, how likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row4_col0\" class=\"data row4 col0\" >2.160954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row5\" class=\"row_heading level0 row5\" >NPS class_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row5_col0\" class=\"data row5 col0\" >2.160954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row6\" class=\"row_heading level0 row6\" >Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row6_col0\" class=\"data row6 col0\" >1.341282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row7\" class=\"row_heading level0 row7\" >I am confident that I will achieve the goals that I set for myself.</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row7_col0\" class=\"data row7 col0\" >1.192250</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row8\" class=\"row_heading level0 row8\" >NPS class_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row8_col0\" class=\"data row8 col0\" >0.968703</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row9\" class=\"row_heading level0 row9\" >How likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row9_col0\" class=\"data row9 col0\" >0.968703</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row10\" class=\"row_heading level0 row10\" >I am confident that I achieved the goals that I set for myself.</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row10_col0\" class=\"data row10 col0\" >0.372578</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row11\" class=\"row_heading level0 row11\" >Course content that can be applied to the \"Real World\"_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row11_col0\" class=\"data row11 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row12\" class=\"row_heading level0 row12\" >Difficulty of the practice questions_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row12_col0\" class=\"data row12 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row13\" class=\"row_heading level0 row13\" >Variety of the study materials_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row13_col0\" class=\"data row13 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row14\" class=\"row_heading level0 row14\" >Study materials available on a mobile device_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row14_col0\" class=\"data row14 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row15\" class=\"row_heading level0 row15\" >Quality of the product_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row15_col0\" class=\"data row15 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row16\" class=\"row_heading level0 row16\" >Technical support_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row16_col0\" class=\"data row16 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row17\" class=\"row_heading level0 row17\" >Pass guarantee_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row17_col0\" class=\"data row17 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row18\" class=\"row_heading level0 row18\" >Price_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row18_col0\" class=\"data row18 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row19\" class=\"row_heading level0 row19\" >Brand reputation_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row19_col0\" class=\"data row19 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row20\" class=\"row_heading level0 row20\" >Custom Data 5</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row20_col0\" class=\"data row20 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row21\" class=\"row_heading level0 row21\" >Custom Data 4_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row21_col0\" class=\"data row21 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row22\" class=\"row_heading level0 row22\" >Last Name_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row22_col0\" class=\"data row22 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row23\" class=\"row_heading level0 row23\" >First Name_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row23_col0\" class=\"data row23 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row24\" class=\"row_heading level0 row24\" >Email Address_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row24_col0\" class=\"data row24 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row25\" class=\"row_heading level0 row25\" >IP Address_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row25_col0\" class=\"data row25 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row26\" class=\"row_heading level0 row26\" >End Date_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row26_col0\" class=\"data row26 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row27\" class=\"row_heading level0 row27\" >Start Date_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row27_col0\" class=\"data row27 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row28\" class=\"row_heading level0 row28\" >Collector ID_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row28_col0\" class=\"data row28 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row29\" class=\"row_heading level0 row29\" >Respondent ID_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row29_col0\" class=\"data row29 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row30\" class=\"row_heading level0 row30\" >Quantity of the practice questions_x</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row30_col0\" class=\"data row30 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row31\" class=\"row_heading level0 row31\" >Quality of the product_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row31_col0\" class=\"data row31 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row32\" class=\"row_heading level0 row32\" >Technical support_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row32_col0\" class=\"data row32 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row33\" class=\"row_heading level0 row33\" >Course content that can be applied to the \"Real World\"_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row33_col0\" class=\"data row33 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row34\" class=\"row_heading level0 row34\" >Pass guarantee_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row34_col0\" class=\"data row34 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row35\" class=\"row_heading level0 row35\" >Price_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row35_col0\" class=\"data row35 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row36\" class=\"row_heading level0 row36\" >Brand reputation_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row36_col0\" class=\"data row36 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row37\" class=\"row_heading level0 row37\" >How did you do on your exam?</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row37_col0\" class=\"data row37 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row38\" class=\"row_heading level0 row38\" >Custom Data 4_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row38_col0\" class=\"data row38 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row39\" class=\"row_heading level0 row39\" >Last Name_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row39_col0\" class=\"data row39 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row40\" class=\"row_heading level0 row40\" >First Name_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row40_col0\" class=\"data row40 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row41\" class=\"row_heading level0 row41\" >Email Address_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row41_col0\" class=\"data row41 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row42\" class=\"row_heading level0 row42\" >IP Address_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row42_col0\" class=\"data row42 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row43\" class=\"row_heading level0 row43\" >End Date_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row43_col0\" class=\"data row43 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row44\" class=\"row_heading level0 row44\" >Start Date_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row44_col0\" class=\"data row44 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row45\" class=\"row_heading level0 row45\" >Collector ID_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row45_col0\" class=\"data row45 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row46\" class=\"row_heading level0 row46\" >Respondent ID_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row46_col0\" class=\"data row46 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row47\" class=\"row_heading level0 row47\" >Study materials available on a mobile device_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row47_col0\" class=\"data row47 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row48\" class=\"row_heading level0 row48\" >Variety of the study materials_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row48_col0\" class=\"data row48 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row49\" class=\"row_heading level0 row49\" >Difficulty of the practice questions_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row49_col0\" class=\"data row49 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row50\" class=\"row_heading level0 row50\" >Quantity of the practice questions_y</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row50_col0\" class=\"data row50 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_9c0112da_fdb7_11eb_9495_acde48001122level0_row51\" class=\"row_heading level0 row51\" >Unnamed: 0</th>\n",
       "                        <td id=\"T_9c0112da_fdb7_11eb_9495_acde48001122row51_col0\" class=\"data row51 col0\" >0.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f869ca0f910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#deleting features whose missing values are not correlated and >30%\n",
    "df=df[df[\"Technical support_y\"].notnull()]\n",
    "temp = pd.DataFrame(df.isna().sum().sort_values(ascending=False)*100/df.shape[0],columns=['missing %'])\n",
    "display(temp.style.background_gradient(cmap='Purples'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:57:46.670245Z",
     "start_time": "2021-08-15T10:57:46.666289Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1342, 52)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Class \n",
    "Survey 1 --> 3\n",
    "\n",
    "Detractors -> Passive (D_Pa) (Increase)\n",
    "\n",
    "Detractors -> Promoters (D_pr) (Increase)\n",
    "\n",
    "Passive -> Promoters (Pa_Pr) (Increase)\n",
    "\n",
    "Passive -> Detractors (Pa_D) (Decrease)\n",
    "\n",
    "Promoters -> Passive (Pr_Pa) (Decrease)\n",
    "\n",
    "Promoters -> Detractors (Pr_D) (Decrease)\n",
    "\n",
    "data very less, better to analyse feature contribution towards increase or decrease in the positive attitude towards the product. Then we will have only 3 classes **\"Increase\", \"Decrease\"\n",
    "and \"same\"**.\n",
    "\n",
    "\"Increase\" class represent students whose opinion improved and so on\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:57:52.257072Z",
     "start_time": "2021-08-15T10:57:52.156165Z"
    }
   },
   "outputs": [],
   "source": [
    "### change \n",
    "import numpy as np\n",
    "df.reset_index(drop=True,inplace=True)\n",
    "df[\"change\"]=\"Same\"\n",
    "for i in range(df.shape[0]):\n",
    "    if((df.loc[i,\"NPS class_x\"]==\"Detractors\") & (df.loc[i,\"NPS class_y\"]==\"Passive\")):\n",
    "        df.at[i,\"change\"]=\"Increase\"\n",
    "    if((df.at[i,\"NPS class_x\"]==\"Detractors\") & (df.at[i,\"NPS class_y\"]==\"Promoters\")):\n",
    "        df.at[i,\"change\"]=\"Increase\"\n",
    "    if((df.at[i,\"NPS class_x\"]==\"Passive\") & (df.at[i,\"NPS class_y\"]==\"Promoters\")):\n",
    "        df.at[i,\"change\"]=\"Increase\"\n",
    "    if((df.at[i,\"NPS class_x\"]==\"Passive\") & (df.at[i,\"NPS class_y\"]==\"Detractors\")):\n",
    "        df.at[i,\"change\"]=\"Decrease\"\n",
    "    if((df.at[i,\"NPS class_x\"]==\"Promoters\" )& (df.at[i,\"NPS class_y\"]==\"Passive\")):\n",
    "        df.at[i,\"change\"]=\"Decrease\"\n",
    "    if((df.at[i,\"NPS class_x\"]==\"Promoters\") & (df.at[i,\"NPS class_y\"]==\"Detractors\")):\n",
    "        df.at[i,\"change\"]=\"Decrease\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:58:14.378869Z",
     "start_time": "2021-08-15T10:58:14.338406Z"
    }
   },
   "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>Unnamed: 0</th>\n",
       "      <th>Respondent ID_x</th>\n",
       "      <th>Collector ID_x</th>\n",
       "      <th>Start Date_x</th>\n",
       "      <th>End Date_x</th>\n",
       "      <th>IP Address_x</th>\n",
       "      <th>Email Address_x</th>\n",
       "      <th>First Name_x</th>\n",
       "      <th>Last Name_x</th>\n",
       "      <th>Custom Data 4_x</th>\n",
       "      <th>Custom Data 5</th>\n",
       "      <th>Brand reputation_x</th>\n",
       "      <th>Price_x</th>\n",
       "      <th>Pass guarantee_x</th>\n",
       "      <th>Technical support_x</th>\n",
       "      <th>Quality of the product_x</th>\n",
       "      <th>Study materials available on a mobile device_x</th>\n",
       "      <th>Variety of the study materials_x</th>\n",
       "      <th>Difficulty of the practice questions_x</th>\n",
       "      <th>Quantity of the practice questions_x</th>\n",
       "      <th>Course content that can be applied to the \"Real World\"_x</th>\n",
       "      <th>How easy was it to navigate the website to find relevant product options?</th>\n",
       "      <th>How easy was it to complete your purchase?</th>\n",
       "      <th>I am confident that I will achieve the goals that I set for myself.</th>\n",
       "      <th>How easy was it to access the online content?</th>\n",
       "      <th>Based on your recent experience, how likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "      <th>Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_x</th>\n",
       "      <th>NPS class_x</th>\n",
       "      <th>Respondent ID_y</th>\n",
       "      <th>Collector ID_y</th>\n",
       "      <th>Start Date_y</th>\n",
       "      <th>End Date_y</th>\n",
       "      <th>IP Address_y</th>\n",
       "      <th>Email Address_y</th>\n",
       "      <th>First Name_y</th>\n",
       "      <th>Last Name_y</th>\n",
       "      <th>Custom Data 4_y</th>\n",
       "      <th>How did you do on your exam?</th>\n",
       "      <th>Brand reputation_y</th>\n",
       "      <th>Price_y</th>\n",
       "      <th>Pass guarantee_y</th>\n",
       "      <th>Technical support_y</th>\n",
       "      <th>Quality of the product_y</th>\n",
       "      <th>Study materials available on a mobile device_y</th>\n",
       "      <th>Variety of the study materials_y</th>\n",
       "      <th>Difficulty of the practice questions_y</th>\n",
       "      <th>Quantity of the practice questions_y</th>\n",
       "      <th>Course content that can be applied to the \"Real World\"_y</th>\n",
       "      <th>I am confident that I achieved the goals that I set for myself.</th>\n",
       "      <th>How likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "      <th>Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_y</th>\n",
       "      <th>NPS class_y</th>\n",
       "      <th>change</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8</td>\n",
       "      <td>12776208672</td>\n",
       "      <td>406636855</td>\n",
       "      <td>2021-06-27 08:20:00</td>\n",
       "      <td>27-06-2021 08:22</td>\n",
       "      <td>174.219.128.203</td>\n",
       "      <td>msandbulte@gmail.com</td>\n",
       "      <td>Melissa</td>\n",
       "      <td>Aanenson</td>\n",
       "      <td>Real Estate</td>\n",
       "      <td>8487016</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Detractors</td>\n",
       "      <td>12399322033</td>\n",
       "      <td>399807393</td>\n",
       "      <td>2021-10-02 13:10:00</td>\n",
       "      <td>10-02-2021 13:13</td>\n",
       "      <td>216.16.54.90</td>\n",
       "      <td>msandbulte@gmail.com</td>\n",
       "      <td>Melissa</td>\n",
       "      <td>Aanenson</td>\n",
       "      <td>Real Estate Licensing</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Detractors</td>\n",
       "      <td>Same</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14</td>\n",
       "      <td>12775430864</td>\n",
       "      <td>406636248</td>\n",
       "      <td>2021-06-26 15:36:00</td>\n",
       "      <td>26-06-2021 15:39</td>\n",
       "      <td>67.5.112.118</td>\n",
       "      <td>lsan@att.net</td>\n",
       "      <td>Lynda</td>\n",
       "      <td>Sanders</td>\n",
       "      <td>Insurance</td>\n",
       "      <td>8680595</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Promoters</td>\n",
       "      <td>12396508852</td>\n",
       "      <td>399807917</td>\n",
       "      <td>2021-09-02 16:30:00</td>\n",
       "      <td>09-02-2021 16:38</td>\n",
       "      <td>174.31.24.72</td>\n",
       "      <td>lsan@att.net</td>\n",
       "      <td>Lynda</td>\n",
       "      <td>Sanders</td>\n",
       "      <td>LICENSING</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Passive</td>\n",
       "      <td>Decrease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40</td>\n",
       "      <td>12706588986</td>\n",
       "      <td>405312395</td>\n",
       "      <td>2021-01-06 15:27:00</td>\n",
       "      <td>01-06-2021 15:29</td>\n",
       "      <td>173.18.14.110</td>\n",
       "      <td>tclement@midwesternsecurities.com</td>\n",
       "      <td>Tira</td>\n",
       "      <td>Clement</td>\n",
       "      <td>Securities</td>\n",
       "      <td>8800978</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Passive</td>\n",
       "      <td>12549547170</td>\n",
       "      <td>402673005</td>\n",
       "      <td>2021-05-04 14:15:00</td>\n",
       "      <td>05-04-2021 14:17</td>\n",
       "      <td>173.18.14.110</td>\n",
       "      <td>tclement@midwesternsecurities.com</td>\n",
       "      <td>Tira</td>\n",
       "      <td>Clement</td>\n",
       "      <td>SECURITIES</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Promoters</td>\n",
       "      <td>Increase</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Respondent ID_x  Collector ID_x         Start Date_x  \\\n",
       "0           8      12776208672       406636855  2021-06-27 08:20:00   \n",
       "1          14      12775430864       406636248  2021-06-26 15:36:00   \n",
       "2          40      12706588986       405312395  2021-01-06 15:27:00   \n",
       "\n",
       "         End Date_x     IP Address_x                    Email Address_x  \\\n",
       "0  27-06-2021 08:22  174.219.128.203               msandbulte@gmail.com   \n",
       "1  26-06-2021 15:39     67.5.112.118                       lsan@att.net   \n",
       "2  01-06-2021 15:29    173.18.14.110  tclement@midwesternsecurities.com   \n",
       "\n",
       "  First Name_x Last Name_x Custom Data 4_x  Custom Data 5  Brand reputation_x  \\\n",
       "0      Melissa    Aanenson     Real Estate        8487016                   4   \n",
       "1        Lynda     Sanders       Insurance        8680595                   3   \n",
       "2         Tira     Clement      Securities        8800978                   3   \n",
       "\n",
       "   Price_x  Pass guarantee_x  Technical support_x  Quality of the product_x  \\\n",
       "0        4                 4                    4                         4   \n",
       "1        3                 0                    1                         4   \n",
       "2        3                 4                    4                         4   \n",
       "\n",
       "   Study materials available on a mobile device_x  \\\n",
       "0                                               4   \n",
       "1                                               0   \n",
       "2                                               4   \n",
       "\n",
       "   Variety of the study materials_x  Difficulty of the practice questions_x  \\\n",
       "0                                 4                                       2   \n",
       "1                                 1                                       2   \n",
       "2                                 2                                       3   \n",
       "\n",
       "   Quantity of the practice questions_x  \\\n",
       "0                                     2   \n",
       "1                                     2   \n",
       "2                                     3   \n",
       "\n",
       "   Course content that can be applied to the \"Real World\"_x  \\\n",
       "0                                                  4          \n",
       "1                                                  3          \n",
       "2                                                  3          \n",
       "\n",
       "   How easy was it to navigate the website to find relevant product options?  \\\n",
       "0                                                3.0                           \n",
       "1                                                3.0                           \n",
       "2                                                NaN                           \n",
       "\n",
       "   How easy was it to complete your purchase?  \\\n",
       "0                                         3.0   \n",
       "1                                         3.0   \n",
       "2                                         NaN   \n",
       "\n",
       "   I am confident that I will achieve the goals that I set for myself.  \\\n",
       "0                                                3.0                     \n",
       "1                                                3.0                     \n",
       "2                                                3.0                     \n",
       "\n",
       "   How easy was it to access the online content?  \\\n",
       "0                                            3.0   \n",
       "1                                            3.0   \n",
       "2                                            2.0   \n",
       "\n",
       "   Based on your recent experience, how likely are you to recommend Kaplan to a friend or colleague?  \\\n",
       "0                                                6.0                                                   \n",
       "1                                               10.0                                                   \n",
       "2                                                7.0                                                   \n",
       "\n",
       "   Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_x  \\\n",
       "0                                                3.0                                                                                                                                          \n",
       "1                                                4.0                                                                                                                                          \n",
       "2                                                2.0                                                                                                                                          \n",
       "\n",
       "  NPS class_x  Respondent ID_y  Collector ID_y         Start Date_y  \\\n",
       "0  Detractors      12399322033       399807393  2021-10-02 13:10:00   \n",
       "1   Promoters      12396508852       399807917  2021-09-02 16:30:00   \n",
       "2     Passive      12549547170       402673005  2021-05-04 14:15:00   \n",
       "\n",
       "         End Date_y   IP Address_y                    Email Address_y  \\\n",
       "0  10-02-2021 13:13   216.16.54.90               msandbulte@gmail.com   \n",
       "1  09-02-2021 16:38   174.31.24.72                       lsan@att.net   \n",
       "2  05-04-2021 14:17  173.18.14.110  tclement@midwesternsecurities.com   \n",
       "\n",
       "  First Name_y Last Name_y        Custom Data 4_y  \\\n",
       "0      Melissa    Aanenson  Real Estate Licensing   \n",
       "1        Lynda     Sanders              LICENSING   \n",
       "2         Tira     Clement             SECURITIES   \n",
       "\n",
       "   How did you do on your exam?  Brand reputation_y  Price_y  \\\n",
       "0                             3                 0.0      0.0   \n",
       "1                             1                 4.0      3.0   \n",
       "2                             3                 2.0      2.0   \n",
       "\n",
       "   Pass guarantee_y  Technical support_y  Quality of the product_y  \\\n",
       "0               0.0                  0.0                       0.0   \n",
       "1               3.0                  3.0                       3.0   \n",
       "2               0.0                  2.0                       2.0   \n",
       "\n",
       "   Study materials available on a mobile device_y  \\\n",
       "0                                             0.0   \n",
       "1                                             0.0   \n",
       "2                                             3.0   \n",
       "\n",
       "   Variety of the study materials_y  Difficulty of the practice questions_y  \\\n",
       "0                               0.0                                     2.0   \n",
       "1                               4.0                                     3.0   \n",
       "2                               2.0                                     2.0   \n",
       "\n",
       "   Quantity of the practice questions_y  \\\n",
       "0                                   0.0   \n",
       "1                                   4.0   \n",
       "2                                   3.0   \n",
       "\n",
       "   Course content that can be applied to the \"Real World\"_y  \\\n",
       "0                                                0.0          \n",
       "1                                                4.0          \n",
       "2                                                2.0          \n",
       "\n",
       "   I am confident that I achieved the goals that I set for myself.  \\\n",
       "0                                                0.0                 \n",
       "1                                                3.0                 \n",
       "2                                                1.0                 \n",
       "\n",
       "   How likely are you to recommend Kaplan to a friend or colleague?  \\\n",
       "0                                                0.0                  \n",
       "1                                                7.0                  \n",
       "2                                               10.0                  \n",
       "\n",
       "   Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_y  \\\n",
       "0                                                0.0                                                                                                                                          \n",
       "1                                                4.0                                                                                                                                          \n",
       "2                                                4.0                                                                                                                                          \n",
       "\n",
       "  NPS class_y    change  \n",
       "0  Detractors      Same  \n",
       "1     Passive  Decrease  \n",
       "2   Promoters  Increase  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df.head(3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-14T13:33:57.141149Z",
     "start_time": "2021-08-14T13:33:57.133872Z"
    }
   },
   "source": [
    "## Feature Engineering\n",
    "\n",
    "Now that our target variable is also  based on change, we would do the same for independent variables. eg\n",
    "**\"Brand reputation\"** we have 2 scores for the 2 surveys, instead of using the scores, we would use change in scores.\n",
    "\n",
    "Similarly for each independent variables which are present in both the surveys we calculate the change in scores, which represents how the opinion of student changed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:37:22.788536Z",
     "start_time": "2021-08-15T10:37:22.762445Z"
    }
   },
   "outputs": [],
   "source": [
    "col=[\"Unnamed: 0\",\"Respondent ID_x\",\"Collector ID_x\",\"IP Address_x\",\"Email Address_x\",\"First Name_x\",\"Last Name_x\"\n",
    "     ,\"Respondent ID_y\",\"Collector ID_y\",\"End Date_y\",\"End Date_x\",\"IP Address_y\",\"Email Address_y\",\n",
    "     \"First Name_y\",\"Last Name_y\",\"Custom Data 4_x\",\"Custom Data 4_y\",\"Custom Data 5\"]\n",
    "df.drop(columns=col,inplace=True)\n",
    "\n",
    "#time between 2 surveys\n",
    "df['Start Date_x'] = pd.to_datetime(df['Start Date_x'])\n",
    "df['Start Date_y'] = pd.to_datetime(df['Start Date_y'])\n",
    "df[\"TimeDiff\"]=(df[\"Start Date_y\"]-df[\"Start Date_x\"]).dt.days\n",
    "df.drop(columns=[\"Start Date_x\",\"Start Date_y\"],inplace=True)\n",
    "\n",
    "#change in ratings\n",
    "a=[x for x in df.columns if ((\"_\" in x) and ((df[x].dtype==np.int64) | (df[x].dtype==np.float64)))]\n",
    "c=[x.split(\"_\")[0] for x in a]\n",
    "for i in set(c):\n",
    "    name=i+str(\"_change\")\n",
    "    df[name]=df[i+\"_y\"]-df[i+\"_x\"]\n",
    "df.drop(columns=a,inplace=True)\n",
    "\n",
    "# deleting their ratings as we are only focusing on how their ratings influence their overall NPS class.\n",
    "a=[\"NPS class_x\",\"NPS class_y\"]\n",
    "df.drop(columns=a,inplace=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modeling\n",
    "\n",
    "Now we have 3 classes \"same\",\"Increase\",\"decrease\", we could perform a multiclass classification and perform inference \n",
    "to find out the key drivers. Using **Xgboost for multiclass classification**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:37:23.252711Z",
     "start_time": "2021-08-15T10:37:22.791112Z"
    }
   },
   "outputs": [],
   "source": [
    "# xgboost\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "X=df.loc[:,~df.columns.isin([\"change\"])]\n",
    "y=df.loc[:,df.columns.isin([\"change\"])]\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y,\n",
    "                                                    stratify=y, \n",
    "                                                    test_size=0.15)\n",
    "X_train.reset_index(drop=True,inplace=True)\n",
    "X_test.reset_index(drop=True,inplace=True)\n",
    "y_train.reset_index(drop=True,inplace=True)\n",
    "y_test.reset_index(drop=True,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:37:23.257046Z",
     "start_time": "2021-08-15T10:37:23.254698Z"
    }
   },
   "outputs": [],
   "source": [
    "##grid search hyperparameter training\n",
    "\n",
    "# from xgboost import XGBClassifier\n",
    "# from sklearn.model_selection import StratifiedKFold\n",
    "# from sklearn.model_selection import RandomizedSearchCV, GridSearchCV\n",
    "\n",
    "\n",
    "# params = {\"learning_rate\"    : [0.05, 0.10, 0.15, 0.20, 0.25, 0.30 ] ,\n",
    "#  \"max_depth\"        : [ 3, 4, 5, 6, 8, 10, 12, 15],\n",
    "#  \"min_child_weight\" : [ 1, 3, 5, 7 ],\n",
    "#  \"gamma\"            : [ 0.0, 0.1, 0.2 , 0.3, 0.4 ],\n",
    "#  \"colsample_bytree\" : [ 0.3, 0.4, 0.5 , 0.7 ] }\n",
    "\n",
    "# xgb = XGBClassifier(learning_rate=0.02, n_estimators=600, objective='multi:softprob',\n",
    "#                     silent=True, nthread=1)\n",
    "\n",
    "# folds = 3\n",
    "# param_comb = 10\n",
    "\n",
    "# skf = StratifiedKFold(n_splits=folds, shuffle = True, random_state = 1001)\n",
    "# import sklearn\n",
    "# scorer = sklearn.metrics.make_scorer(sklearn.metrics.f1_score, average = 'weighted')\n",
    "\n",
    "# random_search = RandomizedSearchCV(xgb, param_distributions=params, n_iter=param_comb, scoring=scorer, n_jobs=4, cv=skf.split(X_train,y_train), verbose=False, random_state=1001 )\n",
    "\n",
    "# random_search.fit(X_train, y_train)\n",
    "\n",
    "# print('\\n Best weighted F1 score for %d-fold search with %d parameter combinations:' % (folds, param_comb))\n",
    "# print(random_search.best_score_ * 2 - 1)\n",
    "# print('\\n Best hyperparameters:')\n",
    "# print(random_search.best_params_)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:37:23.959420Z",
     "start_time": "2021-08-15T10:37:23.259062Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py:72: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  return f(**kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "dark"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import xgboost as xgb\n",
    "from matplotlib import pyplot\n",
    "\n",
    "params={'min_child_weight': 3, 'max_depth': 6, 'learning_rate': 0.1, 'gamma': 0.0, \n",
    "        'colsample_bytree': 0.7,\"objective\":\"multi:softprob\"}\n",
    "\n",
    "xgb1=xgb.XGBClassifier(**params)\n",
    "\n",
    "eval_set = [(X_train, y_train), (X_test, y_test)]\n",
    "\n",
    "model = xgb1.fit(X_train, y_train, eval_metric=[\"mlogloss\"], eval_set=eval_set, verbose=False)\n",
    "\n",
    "results = model.evals_result()\n",
    "\n",
    "epochs = len(results['validation_0']['mlogloss'])\n",
    "x_axis = range(0, epochs)\n",
    "# plot log loss\n",
    "fig, ax = pyplot.subplots()\n",
    "ax.plot(x_axis, results['validation_0']['mlogloss'], label='Train')\n",
    "ax.plot(x_axis, results['validation_1']['mlogloss'], label='Test')\n",
    "ax.legend()\n",
    "ax.tick_params(axis='x', colors='white')\n",
    "ax.tick_params(axis='y', colors='white')\n",
    "\n",
    "pyplot.ylabel('Log Loss')\n",
    "pyplot.title('XGBoost Log Loss')\n",
    "\n",
    "pyplot.show()\n",
    "# from sklearn.metrics import accuracy_score\n",
    "# print(\"Accuracy for model : %.2f\" % (accuracy_score(y_test.values.ravel(), model.predict(X_test)) * 100))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using Shap to understand relation and correlation between the features and the change in Students opinion\n",
    "\n",
    "Aim is to find how the change in **students opinion** (target variable) is related to **change in scores of differet questions** between the 2 surveys ( independent variable).\n",
    "Given that we have built the dependent and independent variables mostly on change in scores, the correlation we measure is much more specific compared to if the variables used were normal scores of the 2 surveys instead of change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:37:24.886012Z",
     "start_time": "2021-08-15T10:37:23.961519Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting feature_perturbation = \"tree_path_dependent\" because no background data was given.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x684 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import shap\n",
    "# monkey patch\n",
    "mybooster = model.get_booster() \n",
    "model_bytearray = mybooster.save_raw()[4:]\n",
    "def myfun(self=None):\n",
    "    return model_bytearray\n",
    "mybooster.save_raw = myfun\n",
    "\n",
    "# shap expaliner\n",
    "explainer = shap.TreeExplainer(mybooster)\n",
    "shap_values = explainer.shap_values(X_train)\n",
    "shap.summary_plot(shap_values, X_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Overall parameter importance from Shap**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation between features and target."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-08-15T10:58:40.262932Z",
     "start_time": "2021-08-15T10:58:40.200616Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "        }</style><table id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >effect_magnitude</th>        <th class=\"col_heading level0 col1\" >correlation</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row0\" class=\"row_heading level0 row0\" >How likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row0_col0\" class=\"data row0 col0\" >287.729980</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row0_col1\" class=\"data row0 col1\" >positive</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row1\" class=\"row_heading level0 row1\" >I am confident that I achieved the goals that I set for myself.</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row1_col0\" class=\"data row1 col0\" >12.436909</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row1_col1\" class=\"data row1 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row2\" class=\"row_heading level0 row2\" >Kaplan is most concerned with everyone's safety and security. If in-person education cannot resume in a timely fashion, how comfortable are you with continuing your education online?_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row2_col0\" class=\"data row2 col0\" >11.278142</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row2_col1\" class=\"data row2 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row3\" class=\"row_heading level0 row3\" >How easy was it to navigate the website to find relevant product options?</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row3_col0\" class=\"data row3 col0\" >8.944852</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row3_col1\" class=\"data row3 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row4\" class=\"row_heading level0 row4\" >How easy was it to complete your purchase?</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row4_col0\" class=\"data row4 col0\" >3.542038</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row4_col1\" class=\"data row4 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row5\" class=\"row_heading level0 row5\" >I am confident that I will achieve the goals that I set for myself.</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row5_col0\" class=\"data row5 col0\" >3.381141</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row5_col1\" class=\"data row5 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row6\" class=\"row_heading level0 row6\" >TimeDiff</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row6_col0\" class=\"data row6 col0\" >3.070317</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row6_col1\" class=\"data row6 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row7\" class=\"row_heading level0 row7\" >Quality of the product_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row7_col0\" class=\"data row7 col0\" >2.669627</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row7_col1\" class=\"data row7 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row8\" class=\"row_heading level0 row8\" >Based on your recent experience, how likely are you to recommend Kaplan to a friend or colleague?</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row8_col0\" class=\"data row8 col0\" >2.216353</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row8_col1\" class=\"data row8 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row9\" class=\"row_heading level0 row9\" >Variety of the study materials_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row9_col0\" class=\"data row9 col0\" >2.031194</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row9_col1\" class=\"data row9 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row10\" class=\"row_heading level0 row10\" >Pass guarantee_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row10_col0\" class=\"data row10 col0\" >1.472014</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row10_col1\" class=\"data row10 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row11\" class=\"row_heading level0 row11\" >Technical support_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row11_col0\" class=\"data row11 col0\" >1.383034</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row11_col1\" class=\"data row11 col1\" >positive</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row12\" class=\"row_heading level0 row12\" >Study materials available on a mobile device_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row12_col0\" class=\"data row12 col0\" >1.368674</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row12_col1\" class=\"data row12 col1\" >positive</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row13\" class=\"row_heading level0 row13\" >How easy was it to access the online content?</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row13_col0\" class=\"data row13 col0\" >1.193271</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row13_col1\" class=\"data row13 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row14\" class=\"row_heading level0 row14\" >Brand reputation_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row14_col0\" class=\"data row14 col0\" >0.978652</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row14_col1\" class=\"data row14 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row15\" class=\"row_heading level0 row15\" >Course content that can be applied to the \"Real World\"_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row15_col0\" class=\"data row15 col0\" >0.555799</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row15_col1\" class=\"data row15 col1\" >positive</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row16\" class=\"row_heading level0 row16\" >Difficulty of the practice questions_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row16_col0\" class=\"data row16 col0\" >0.538497</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row16_col1\" class=\"data row16 col1\" >positive</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row17\" class=\"row_heading level0 row17\" >Price_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row17_col0\" class=\"data row17 col0\" >0.282962</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row17_col1\" class=\"data row17 col1\" >negative</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row18\" class=\"row_heading level0 row18\" >How did you do on your exam?</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row18_col0\" class=\"data row18 col0\" >0.085013</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row18_col1\" class=\"data row18 col1\" >positive</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122level0_row19\" class=\"row_heading level0 row19\" >Quantity of the practice questions_change</th>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row19_col0\" class=\"data row19 col0\" >0.049880</td>\n",
       "                        <td id=\"T_bfbc6936_fdb7_11eb_9495_acde48001122row19_col1\" class=\"data row19 col1\" >negative</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
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       "<pandas.io.formats.style.Styler at 0x7f869a5ffb10>"
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   "source": [
    "## feature effects for \"2\" class i.e, \"Increase\"\n",
    "\n",
    "def feature_contri(X_train,shap_values,clas):\n",
    "    a=(pd.DataFrame(shap_values[clas],columns=X_train.columns).sum())\n",
    "    a=pd.DataFrame(a,columns=[\"effect_magnitude\"])\n",
    "    a[\"correlation\"]=\"positive\"\n",
    "    a.loc[a[\"effect_magnitude\"]<0,\"correlation\"]=\"negative\"\n",
    "    a[\"effect_magnitude\"]=abs(a[\"effect_magnitude\"])\n",
    "    a.sort_values(by=\"effect_magnitude\",inplace=True,ascending=False)\n",
    "    def highlight_greaterthan(s, column):\n",
    "        is_max = pd.Series(data=False, index=s.index)\n",
    "        is_max[column] = s.loc[column] == \"negative\"\n",
    "        return ['background-color: #ffe6e6' if is_max.any() else 'background-color: #e6ffe6' for v in is_max]\n",
    "\n",
    "    return a.style.apply(highlight_greaterthan, column=['correlation'], axis=1)\n",
    "\n",
    "display(feature_contri(X_train,shap_values,2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So the above dataframe shows the effect of increase or decrease of feature values on the respective class, from the \n",
    "above dataframe if **\"How likely are you to recommend Kaplan to a friend or colleague?\"** value is high then this has a positive effect on \"2\" class, that means a student is more probable to improve his opinion.\n",
    "\n",
    "**\"negative correlation\"** between **price change** and **change in student opinion**\n",
    "\n",
    "**positive correlation** between **pass gurantee** and **change in student opinion**"
   ]
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   "cell_type": "code",
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   "metadata": {},
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   "source": []
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