Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
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   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>NationalITy</th>\n",
       "      <th>PlaceofBirth</th>\n",
       "      <th>StageID</th>\n",
       "      <th>GradeID</th>\n",
       "      <th>SectionID</th>\n",
       "      <th>Topic</th>\n",
       "      <th>Semester</th>\n",
       "      <th>Relation</th>\n",
       "      <th>raisedhands</th>\n",
       "      <th>VisITedResources</th>\n",
       "      <th>AnnouncementsView</th>\n",
       "      <th>Discussion</th>\n",
       "      <th>ParentAnsweringSurvey</th>\n",
       "      <th>ParentschoolSatisfaction</th>\n",
       "      <th>StudentAbsenceDays</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>40</td>\n",
       "      <td>50</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>A</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>A</td>\n",
       "      <td>Geology</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>50</td>\n",
       "      <td>77</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>A</td>\n",
       "      <td>Geology</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>55</td>\n",
       "      <td>74</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>A</td>\n",
       "      <td>History</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>57</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>A</td>\n",
       "      <td>History</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>35</td>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>62</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>480 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    gender NationalITy PlaceofBirth       StageID GradeID SectionID  \\\n",
       "0        M          KW       KuwaIT    lowerlevel    G-04         A   \n",
       "1        M          KW       KuwaIT    lowerlevel    G-04         A   \n",
       "2        M          KW       KuwaIT    lowerlevel    G-04         A   \n",
       "3        M          KW       KuwaIT    lowerlevel    G-04         A   \n",
       "4        M          KW       KuwaIT    lowerlevel    G-04         A   \n",
       "..     ...         ...          ...           ...     ...       ...   \n",
       "475      F      Jordan       Jordan  MiddleSchool    G-08         A   \n",
       "476      F      Jordan       Jordan  MiddleSchool    G-08         A   \n",
       "477      F      Jordan       Jordan  MiddleSchool    G-08         A   \n",
       "478      F      Jordan       Jordan  MiddleSchool    G-08         A   \n",
       "479      F      Jordan       Jordan  MiddleSchool    G-08         A   \n",
       "\n",
       "         Topic Semester Relation  raisedhands  VisITedResources  \\\n",
       "0           IT        F   Father           15                16   \n",
       "1           IT        F   Father           20                20   \n",
       "2           IT        F   Father           10                 7   \n",
       "3           IT        F   Father           30                25   \n",
       "4           IT        F   Father           40                50   \n",
       "..         ...      ...      ...          ...               ...   \n",
       "475  Chemistry        S   Father            5                 4   \n",
       "476    Geology        F   Father           50                77   \n",
       "477    Geology        S   Father           55                74   \n",
       "478    History        F   Father           30                17   \n",
       "479    History        S   Father           35                14   \n",
       "\n",
       "     AnnouncementsView  Discussion ParentAnsweringSurvey  \\\n",
       "0                    2          20                   Yes   \n",
       "1                    3          25                   Yes   \n",
       "2                    0          30                    No   \n",
       "3                    5          35                    No   \n",
       "4                   12          50                    No   \n",
       "..                 ...         ...                   ...   \n",
       "475                  5           8                    No   \n",
       "476                 14          28                    No   \n",
       "477                 25          29                    No   \n",
       "478                 14          57                    No   \n",
       "479                 23          62                    No   \n",
       "\n",
       "    ParentschoolSatisfaction StudentAbsenceDays Class  \n",
       "0                       Good            Under-7     M  \n",
       "1                       Good            Under-7     M  \n",
       "2                        Bad            Above-7     L  \n",
       "3                        Bad            Above-7     L  \n",
       "4                        Bad            Above-7     M  \n",
       "..                       ...                ...   ...  \n",
       "475                      Bad            Above-7     L  \n",
       "476                      Bad            Under-7     M  \n",
       "477                      Bad            Under-7     M  \n",
       "478                      Bad            Above-7     L  \n",
       "479                      Bad            Above-7     L  \n",
       "\n",
       "[480 rows x 17 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "student_df= pd.read_csv('student.csv')\n",
    "student_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>NationalITy</th>\n",
       "      <th>PlaceofBirth</th>\n",
       "      <th>StageID</th>\n",
       "      <th>GradeID</th>\n",
       "      <th>SectionID</th>\n",
       "      <th>Topic</th>\n",
       "      <th>Semester</th>\n",
       "      <th>Relation</th>\n",
       "      <th>raisedhands</th>\n",
       "      <th>VisITedResources</th>\n",
       "      <th>AnnouncementsView</th>\n",
       "      <th>Discussion</th>\n",
       "      <th>ParentAnsweringSurvey</th>\n",
       "      <th>ParentschoolSatisfaction</th>\n",
       "      <th>StudentAbsenceDays</th>\n",
       "      <th>Class</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
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       "      <td>20</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
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       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
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       "      <td>7</td>\n",
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       "      <td>30</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>40</td>\n",
       "      <td>50</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-02</td>\n",
       "      <td>C</td>\n",
       "      <td>IT</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-02</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>12</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>B</td>\n",
       "      <td>IT</td>\n",
       "      <td>S</td>\n",
       "      <td>Mum</td>\n",
       "      <td>70</td>\n",
       "      <td>92</td>\n",
       "      <td>83</td>\n",
       "      <td>85</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-06</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>52</td>\n",
       "      <td>66</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>65</td>\n",
       "      <td>86</td>\n",
       "      <td>62</td>\n",
       "      <td>40</td>\n",
       "      <td>No</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>95 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    gender NationalITy PlaceofBirth       StageID GradeID SectionID Topic  \\\n",
       "0        M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "1        M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "2        M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "3        M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "4        M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "..     ...         ...          ...           ...     ...       ...   ...   \n",
       "132      M          KW       KuwaIT    lowerlevel    G-02         C    IT   \n",
       "133      M          KW       KuwaIT    lowerlevel    G-02         A    IT   \n",
       "244      M          KW       KuwaIT  MiddleSchool    G-07         B    IT   \n",
       "245      F          KW       KuwaIT  MiddleSchool    G-06         A    IT   \n",
       "249      M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "\n",
       "    Semester Relation  raisedhands  VisITedResources  AnnouncementsView  \\\n",
       "0          F   Father           15                16                  2   \n",
       "1          F   Father           20                20                  3   \n",
       "2          F   Father           10                 7                  0   \n",
       "3          F   Father           30                25                  5   \n",
       "4          F   Father           40                50                 12   \n",
       "..       ...      ...          ...               ...                ...   \n",
       "132        S   Father            0                 3                 10   \n",
       "133        S   Father           12                60                  0   \n",
       "244        S      Mum           70                92                 83   \n",
       "245        S   Father           50                40                 52   \n",
       "249        S   Father           65                86                 62   \n",
       "\n",
       "     Discussion ParentAnsweringSurvey ParentschoolSatisfaction  \\\n",
       "0            20                   Yes                     Good   \n",
       "1            25                   Yes                     Good   \n",
       "2            30                    No                      Bad   \n",
       "3            35                    No                      Bad   \n",
       "4            50                    No                      Bad   \n",
       "..          ...                   ...                      ...   \n",
       "132           3                    No                      Bad   \n",
       "133          70                   Yes                     Good   \n",
       "244          85                   Yes                      Bad   \n",
       "245          66                   Yes                      Bad   \n",
       "249          40                    No                     Good   \n",
       "\n",
       "    StudentAbsenceDays Class  \n",
       "0              Under-7     M  \n",
       "1              Under-7     M  \n",
       "2              Above-7     L  \n",
       "3              Above-7     L  \n",
       "4              Above-7     M  \n",
       "..                 ...   ...  \n",
       "132            Above-7     L  \n",
       "133            Above-7     L  \n",
       "244            Under-7     H  \n",
       "245            Under-7     M  \n",
       "249            Above-7     M  \n",
       "\n",
       "[95 rows x 17 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stntKuwait=student_df[student_df['PlaceofBirth']=='KuwaIT']\n",
    "#stntKuwait\n",
    "IT_topic=student_df[student_df['Topic']=='IT']\n",
    "(IT_topic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['KuwaIT', 'lebanon', 'Egypt', 'SaudiArabia', 'USA', 'Jordan',\n",
       "       'venzuela', 'Iran', 'Tunis', 'Morocco', 'Syria', 'Iraq',\n",
       "       'Palestine', 'Lybia'], dtype=object)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib as plt\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "countries_of_student=student_df.PlaceofBirth.unique()\n",
    "countries_of_student\n",
    "#sns.scatterplot(x=student_df.raisedhands, y=student_df.Discussion, hue=, s=100);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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f+PnJw3SXtqkCxfC1X0Cb7vXH9ZsI/Y+uO+kwBvocAQOOrf9xirvAsb92V9M6H3U9GIaeVn9MYQc44Y8NW0wnBb/Xw5/PORhfijfVTccNyq9VE0/5a3piRKT5te3ZsO05Io+OoNLSBX1eyvq0575LD6W05MDbsG1CPv541kGcO7anFnZJh2AJXDUZeow9cJ/xOD3KFz6eemlsfyGc/x9nVcTalnXuPgaufh9CbdPS7BYpUAhn3w1jv137ipFdDnL+RgXt0/q0fq+H4d3b8OiVh9Otlrs/RQEvvzh5GJcf2S9/Vkv0F8KQE+Gc+52LlK8q7ADnPgCDTgB/HZNtRSR7jv31ge9Nf4GzPYdppUTJOZGaZZKnLtvGh0u2kEhaxvRpzwnDu2Kx+bWiW7Ylk061j93rYc6jTrmxtj1hzKXOqoYNXXo8EYNPH3YmkQSKnSS7XU/wFerWOjh/o2QCZj8CO1Y4yd8h33BWSvQFM7Y8eySeIGlh1srtvLtoM/Gk5eAebTn1kG5YS35eoEarnQmHS96ClR/W3E05EgYd7+xXMi3SbBq8UuLcp5wx07vWOuekY3/dpAmJjdHQlRKVUEtOi8QTYJ2eNk+qsSDSNImYU7bNG6i9p9mtZAISUSc59PrT1758svdv5HX+3s0oGk9gW9N7ylpI1JTG8wZbaaUZkexqDUuP52G3hOSTFj9JqiXx+tOTAHu84FHvX72y+DcKtLb3lDFO9Q8RkQzSPVgRERERkSZQD7WIiEgeSCYtVdEEO6ujLNlUgc9rOKRnO7wGikMafiXZZa1tMQtINWY4tBJqERGRFq4qGueLjeX87uWFfLp6x97tPo/hhBFd+X9njKBtgT+/yiNKixEKhdi2bRsdO3bM+aTaWsu2bdsIhRo2VEwJtYiISAtWHY0za9UOvv3AJ8ST+/esxZOWVz7fwIyV23n1hiPpVBzM+YRG8k/Pnj1Zu3YtW7ZsyXZTXAmFQvTs2bC610qoRUREWjTDtY98ekAyva8t5RFuenIO/754rIZ/SLPz+/3069cv283IKN37ERERaaHiiSQvz11PRSSeMvajpdtcxYlIwymhFhERaaGqoglem7fRdfyb8zdlsDUirZcSahERkRbKAtWxhOv4yqh6qEUyQQm1iIhIC+XzGPp0KHQdP7hLSQZbI9J6KaEWERFpoYqCPq48yt1kr/aFfo4Y2CnDLRJpnZRQi4iItGDd2hZw9KDUifL1xwyERixYISKpKaEWERFpwYqCPu68eCzj+neoM+baiQO48LDeFARULVckE/TOEhERaeGKgj4euOwwPl+3k7s/WM4XmyrweQzjBnTkmokD6FgUoFDJtEjG6N0lIiKSBwoCXg7r15Fh3dpgMFgsHmMoCupUL5JpepeJiIjkkRKthCjS7DSGWkRERESkCdRD3RCxajAesEnweCEWgWAxGJPtlh2gPByjwO8llrD4vIZoPNm4236RSvAFIBEDbwBiVRBqk/4Gi+wjEk/sLUZgDMQTlpDfg9ejPgCRfFERjhHye4kmkgS8HsLxJMWNOE9VR+N4PR4SSed8F44lKA76MDl4bpb8pYTajUTUSSyn3QazHoSqbc72vkfChBuhzwQIFGW1iXtURuJ8samc299byruLNpO0UBTwcvaYHlz3tYG0KwhQEPCmfqBYNVTvgA//Cp89AdEK52Ji0NfhqB9AlxE58ztL/kgmLdWxBI9OX8XD01axdkc1ACO6t+Gqo/pzwoiu7v5/RSRnVUXjrN1Rzb/eXcrr8zYSTSQJ+jycfHA3rj9mIN3ahlxNoIzGk1RG4tz9wTKe+GQNO6piAIwf0JFrJw6grG97TcSUZmNsC65JWVZWZmfOnJnZJ0nEYPsKeOAEqNpee8zIC+GUv2Y9wayMxLl3ynL+/taSWveH/B4euOwwRvduR8hfT1ISq4Z1s+DRc52vazPpZ3DE97L+O0v+SCYtO6qinH3nVFZtq6o1Znz/jtx3aRmFmmQl0iJVReK8PHcDP312Lsla0g+vx/D380dy3LAu9SbD0XiClduqOO+uaeyqjtUa842yXvz29OFKqiVtjDGzrLVlte3Lyv1TY8z3jTHzjTHzjDGPG2NCxpgOxpi3jDFLaj63z0bbDpCMwUOn1J1MA3z2OHxyL8TCzdeur0gkk0xdtq3OZBogHEty+YOfUBmJ1/9g0Up49Ly6k2mAyX+C5ZMhmWhcg0W+IhJP8K37Z9SZTANMW76N37w0n4pwiv9hEclJy7dW8pM6kmmARNLy/Sc/Y/3O+s+n8aTlgrs/rjOZBnhq5hqemLGGSFznKcm8Zk+ojTE9gBuAMmvtQYAXuAD4KfCOtXYQ8E7N99mViMP856Fic+rYabcD2evtD8eS/POdupPpPapjCe6fspLqaB0HmFg1fHyHM1Y6lQ/+r/6kW6QBFm+qYP763SnjXpi9nmQW32si0jjl4Rj/fGdJysUaE0nLbe8uoSJce7IcSyR5cc56tldGUz7n3R8srzN5F0mnbM3w8QEFxhgfUAisB84AHqrZ/xBwZnaato9YJXz6UOo4gIpNsGFuZttTj/JwnM/X7XIV+99Za+rZa2HOY+6edP1siKROgERSqYzEeeTjVa5io4kkL3+2PsMtEpF083s9vLPIRQcV8NrnGwnWMTSxOprgiU/qO499aePuMF9sLHfdRpHGavaE2lq7DrgFWA1sAHZZa98EulhrN9TEbAA6N3fbDmSgcov78IqNmWtKCjurUl+p77GtMorfW8fsZ4+/Yb9zfUNhRFxKJC1bKyKu49fvCtOS53+ItEaVkTgJl93F0USScKz2O6keYxp0vNhS7j5WpLGyMeSjPU5vdD+gO1BkjLm4AT9/tTFmpjFm5pYtDUj8GsVCqJ378MKOGWtJKg0p5N+2wE+8roNaMg4F7dw/sUroSRp4jKFtgfv/4dLioEpiibQwhQGv6yqzXo8h6Ku9hzppbYOOF+0KtdCNZF42hnwcB6yw1m6x1saAZ4EjgE3GmG4ANZ9rvS9krb3bWltmrS0rLS3NbEv9hTDqm+5iC9pDj7GZbU892hf5Gdyl2FXsGaO6k6yrd88m4aDz3D1p6dCsXkRI/igO+bjwsN6uYr0ew+kju2e4RSKSbvGk5aiBnVzFHjesS52TCUN+L+eM6enqcToWBTioR1vXbRRprGwk1KuBccaYQuN0MR0LLAReBC6tibkUeCELbduf1++UxAu5eDOWXUHKmRYZFPB6uGbigJRxfq/h6qP7111GKFAEE25wfvdUjrwJvMGGNVSkDiN7tqNvx8KUcSeM6IKvriFLIpKzSkJ+vnvMQFex139tYJ13XgM+D98o6+VqEZhvje/bkCaKNFo2xlBPB54GPgU+r2nD3cDNwPHGmCXA8TXfZ5/xwsXP1l9vedDxzmIngdTJQKb4vB5OPKgrF4+ru5fP6zH884LRqW+VhdrCOQ+Ap56D1dhvw7DTwav6npIefp/h0SvHUVpc90XaiO5t+Ms5Ixs0xElEcsdB3dvy4xOG1Bvzm9OG07+0/jUOfF7DQ5cfSkE9ayocN6wzVx3dr/51F0TSRAu7uBELQ9VWp/byvGe+LBVXOhTGXw8HnZPVZHpfVdE4Hy7Zyl2TlzF7zU4AfB7D8cO7cNNxg+jVodBdkftoJexYBe/fDIteccZWA/QsgwnfhwFf06IuknaxRJKKSJzb313KU7PWsLva+b/r3jbEpUf05ZLxfbRIg0gLVxmJM3ftLv713hI+WuqsPGwMHD2olO8dM5Bh3dpQ5KL3ORxLsLUiwt/f+oKX524gEk8CMKRLCVcd1Y+TD+mm44WkVX0LuyihbohIBXi8EN4F3gD4gs6QhxzrpU0mLVWxxN5lnNuE/MSTycb16kXKnV76yC7wFTi91v5C8GSr4qK0BlXROB5j2B2O4TGGooAPrwcCdUxSEpGWxVpLZSQBWCqjCYqDPpLWNuo8VRGJ4fN42FUdI+D1EPR7CHg9+Lw6T0l61ZdQ51YmmOuCNZP+/AXZbUcKHo/ZO7aszd7hHY1MRIIlzucc6YGX1mFPr5Ju1YrkJ2MMxSHnfV7cxCFcxUHn53W8kGzS5ZuIiIiISBOoh1qyL1oJiZolZr0B9YaLiIhIi6KEWrInUuGMR5/2L1g3y9nW6zBnomeg+MshNiIiIiI5TAm1ZEe0Ct75fzDj7v23r5nuJNjjvweTfqbeahEREcl5GkMtzS9SAe//+cBkeg9rYeo/nY9IRfO2TURERKSBlFBL87MJ+PiO1HEf/QO0IJ6IiIjkOCXU0rwScfj0P5CIpo6NVcPcpyCZyHy7RERERBpJCbU0r3gYNs93H79x3pcVQERERERykBJqaV7GA54GFPH3+pw1aUVERERylBJqaV7+Ahh6ivv4oac6S7yLiIiI5Cgl1NK8jIF+R0Nxl9SxbXtBz7LMt0lERESkCZRQS/MzBs57ALz1DP3wBeG8B8F4m61ZIiIiIo2hhFqany8E3UbDt1+DrgcfuL/7aLjiLeg8XMM9REREJOdppUTJjkAhdB8Dl78OO9c6KyQaA73HQ0k3Z6y1R73TIiIikvuUUEv2eLwQKIbOQ50PERERkRZIQz5ERERERJpACbWIiIiISBNoyIdL5eEYPo+HyYs388WmckJ+Lyce1JX2hQGKAl683ty/NikPx0gkLa98voEt5RG6ty3g5IO7AobiUNP/FapjCQzw0dKtzF+/m5Dfw/HDu1JaEqTQ78Xj+coCLYmosxT5xs9h1RRnW7+JzmREjw98gSa3SSQtwrshGYf5z0HlFmjXG4adDlgIlmS7dSKOWBiwsGoarJ/lLKI1+OvO/6tP81KkBYuUg006x+DdG6BNdxhxprNYXI4cg421NtttaLSysjI7c+bMjD9PZSTOo9NXccfkZeys2n8Z7EP7tucfF4ymQ6GfgkDuXp9UROL8/NnPefXzDcSTX77mAa+Hc8b24FenDqewCe2vjMR5bvY6/v7WF2yrjO63b1Svdtx6wSi6tg0R9NUc0KOVsGYGvPx92LFi/wfrOABOuw26j4JAUaPbJNJk1joH8hevh0UvQzLx5T5fCEZfAsf/P/2fSvZFK2HRK/DWr6B84/77uh4CZ98N7fuBP5Sd9ok0VqQCXvkfmP8sJPbJwbx+OPg8OPn/nPlYzcAYM8taW+sCGUqoUygPx7j9vaXc9f7yOmM6FAV45YYj6da2IKNtaayqaJzz//0xn6/bVWfMEQM6cu+lZY1KqisjcR6aupK/vLG4zpg2IR8v33AUvdoXYOIRWPkBPHa+c8VZG48XLn4Oeh/uJC4i2RCpgPu/Dpvm1x0z8Dg4/z/gL2y+donsK1IBnz/ldFDUxV8IV70LnQarp1pajmglPHwGrP2k7pje4+HiZ53qYRlWX0Kd++MUsmxnVazeZBpge2WUX78wn11V0XrjsiEaT/Lox6vrTaYBpi7bxlsLNpFI1pHg1qM6luCWN+tOpgF2h+P89Jm5VEbigIXnrqk7mQanJ/C57zg9hK1APJGkKhpnwfpdPDZ9FU/MWM3KrZVUROIkk63jb5BzYmH4+Pb6k2mApW/D0vegEe8dkbSwSXjtJ/XHxKqc426sunnaJNJUiRjMeaz+ZBpg9TSY94wzhDSLcneMQg7YXR3j7g/qT6b3eHfRZhI5mPckkpaHpq10FXv3B8s5blgXioLur7Oqownun7ICNznf1GXbqIjEKd7+CVRtS/0D5Rtg1UdOD2Aeq4rGmbt2F796fh5LNlfst29Ur3b8+ZyD6d2xiAK/epWal4WZ97sLnXor9D86Z8bySSsSj8Csh5w5KalsmAO710HpkIw3S6TJEjGYfqe72I9vh4POBm/20lr1UNcjaS3TV7hI/HAS109Wbs9wixquKhpn7Q53PRLz1+/G5zWpA/cRTSSZtszd3wjg4+XbYOca90/wxRsQDzeoTS1JOJbgkxXbueje6Qck0wBz1uzkjNs/YsWWCmIJ9YA2q+rtB45Frcua6c5iRCLNLVYNK95zH7/0ncy1RSSdkjHYtsxd7OaFmW2LC0qo62GMIdGA2+0NiW0uDW1SY0ZYxBvwJA2JBZxbmXk87MNauPHJOfX+74RjSb73+Gwl1M1t3wmIbuTvv6nkuob8ryaze1tcxLUGH4Oze45UQl0Pay1Durq/hTusW5sMtqZxSkI+2rgside9bcMn/3k9hqEN+BuN6N4WCtq5f4Luo8EbbHC7WoJEMsk7CzcdUDmmNsu2VLJk04E92JJBRaXuq3d06O/ulrtIunkD0OUg9/E9xmSuLSLpFCiEwo7uYou7OFU/skgJdT3aFQa48sj+rmJH9WpHp+Lcq5uctJbzynq5iv3WEX0xDRvxQXHQx9VHu/sbDe5STJ8OhU6taTeVOwLFMOIs8OTnv2l1NMFbCze5jn9j/sacvAuSt5IJpySTG4dfm/WDubRSgUIY/113sW17QY+xmW2PSLpYC2MudRdbdnnW7xLmZ6aSRkO7lXD0oE71xvg8hl+eMozCHJw0Vhjwcf3XBqZM9nt1KODicX2+rBPdAD3aF3DiQV3rjfEY+PVpwwn4av7ljv5h6gee9POsv0EyyUKDhnHEEpZkHg9/yTnBYvjaL6Cgff1xHQfA6IuUUEv2BNvA6G+ljjvhj85CGCItgb8AJtwIJfXnF7TpAeOuy3qNdb2zUigM+Ljz4rF8fXiXWveXBH3c860yhnYtydnVEotDPp67bgK9O9Reo3FIlxKevXYCBf7Gtb8w4ONv3xjJaSO71bHfy50Xj2VM7/b4vB4nURl3HUz8Se31UD0+OPY3UHYZBPN3wYygz8OQru6HCY3o3gZ/jv6P5a1QO7jybadnrzZdD4HL33JWoRPJlmAxnPRnGHMZtd5m9BfAmXfBwGPBl59D6CRPBYrhynecjovadBrsHKNzYHEtLeziUkU4ztaKCPdNWcGqbZWE/F6OG96F0w7pRiJpKQ7ldu9UPJEklrB8unoHT8xYzc7qGJ2Kg1w8rg/Du7Uh6PMcuDR4A1VG4uysinHflOUs21KJ32s4blgXTh/VHQMHriQZqXDGnX5yT02dSeMUaC+73Emqg82z8lE27aiMUvaHt1MO5SgJ+pjxi+MoCOTeXZC8l4g5E7lWTYXZj0B4JxR3hkOvgs7DnWSloWOlRDIhUgHRcvj4Tqd+uscHA46F0d8ETE4kHSINlkxAIgJrP4VPH4Cq7c7Y6rLLnRWVvaFmGxqqlRLTqDwcI5awGKAo6CXQiCES2VYejmEteDyG4mD6azZWR+PEaopyFwS8qXtV42Gnlio4Y6tbUQ9KRSTOLW8s5sGpK+uN++Upw/jm4b2btDx8neIRZ3b0zjXOybi4i9Mz6y/Qimr72rMMufPmaXk1p6OVgIHty5wLhPZ9wXghlHuTqaWJYtVOAoJxVkjUcCTJF5Fy53xlsnMMri+h1sIuDVSS4z3RbmT6dygI+GjQDXBfqNUuL14c9PHjE4cQiSd4fMaB9bk9Bm44dlDmkulolbN4yfQ7YdfaL7d3HwOTfgp9j1Sv1h7GtMzkM5lwLpTe+T189gREa6rFeLww6AQ4/vfQtofqaOcTf4FeT8lPOdyRoR5qkRywZ7jM3R8uY9663XgMHNa3I5cf2ZeQ30tRBu4kEK2CZy6Hxa/VHfP1P8DYy1rF8Ju8VbUd7jkGdqyofb+/AC57xSm91oruDomINJR6qEVyXFHQR1HQx09OHLp3uEzA58nccuPxqDMeuL5kGuDNX8Cgr0Pp4My0QzIrvBuev6buZBqc4QGPngffn9987RIRyTMqGSCSQwoDPtoW+Glb4M9cMg1g4/DxHe5ip/zNmewkLU88DEveTB1XtQ0Wv97wlclERARQQi3SOlVsrr/Xcl+LXtGkppZqwYvOJEo35v33y/HVIiLSIEqoRVqjWJX72GiFU35LWp7wTvexkQr3ybeIiOxHCbVIa1Rc+0JFtWrb88uyhtKy1LUYQm3a9tSFk4hIIymhFmmNPH7od7S72LGXNVvRfEmzQSe4LzN1+DWq5iIi0kg6S4q0RsES+NovUq/wV9AeDr2y1dYJb/ksjLsudVjvcQ3rzRYRkf0ooRZpjYyBrgfDmXfWvRpiYQe47FXwaYGIFitQBBNuglEX1R3TbSR88ykt4CMi0gRa2EWkNYtWQvVOmPpPWPC8s6xrSTdnmMfYy8AbBF8gu22UpotWwuaF8NE/YOUUpzxe56Ew/nqnzrhW1RMRSam+hV2UUIuIk3CBMyktEXPK5GnVvPwT3u28tsY4i/sEijU+XkTEJa2UKCL12/d2vxLp/BVq8+XXGhcvIpI26poQEREREWkCJdQiIiIiIk2ghFpEREREpAmUUIuIiIiINIEmJeaY8nAMr8dgMMSTSYoCPjyeFItviIhIrcrDMXw1lUziySQlIX+WWyQi+UgJdY6oisZZtrmSO99fyowV24knLUO7lnDlUf2ZMKATBYE6Ft8QEZEDVEcTfLZ2J3e9v4y5a3cBcEjPtlwzcQAje7alIKDTn4ikj+pQ54CqaJzfvriAp2auqXX/6F7t+M8Vh1Mc0glARCSVqmic7z46m/cWb651/zFDO/Ovb46mUEm1iDRAfXWoszKG2hjTzhjztDFmkTFmoTFmvDGmgzHmLWPMkprP7bPRtuZWGYlz1+RldSbTALPX7OSq/8ykMhJvxpaJiLQ85eEYv3x+Xp3JNMC7izbzqxfmURHWMVVE0iNbkxJvBV631g4FRgILgZ8C71hrBwHv1Hyf94yB+6asSBk3bdk21u+sboYWiYi0XNFEkudnr0sZ9/zs9UQTyWZokYi0Bs2eUBtj2gBHA/cBWGuj1tqdwBnAQzVhDwFnNnfbsuGdhZupjCZcxd43ZYV6qUVE6hBPJHl8+mqSLkYyJpKWx2asJq6kWkTSIBs91P2BLcADxpjZxph7jTFFQBdr7QaAms+ds9C2ZrdsS4Xr2A27wsTdnClERFqhaCLJqu1VruPXbq8ipoRaRNIgGwm1DxgD3GmtHQ1U0oDhHcaYq40xM40xM7ds2ZKpNjabhpRwKgh4MaqgJyJSK68xFDVgomFhwKuypCKSFtlIqNcCa62102u+fxonwd5kjOkGUPO51hkl1tq7rbVl1tqy0tLSZmlwJp1ycDfXsWeM7E6xZqWLiNQq6Pdy5ugeruPPGt2ToE8lSUWk6Zo9obbWbgTWGGOG1Gw6FlgAvAhcWrPtUuCF5m5bNhQFvRw5sFPKuI5FASYN7azeFBGRegzuUsyA0uKUcYM6FzOgc1EztEhEWoNsVfn4HvCoMWYuMAr4I3AzcLwxZglwfM33ea846OPWC0bRvW2ozpiQ38N9lx6KcmkRkfoFvB7uv6yMtgV1D6drV+jnvssOJeDL1ilQRPKNFnbJAfFEkopInJtfW8QLc9ZTHXOqfngMfG1oZ35+8jB6tCsg5NetSRGRVKLxJNsrI/zhlYW8Pn8jsYRznvN7DScd1I2fnzyMDkV+AhruISINUN/CLq4SamNMKXAV0Jd9liu31l6epjY2Sr4k1HvsKYm3bEsFiaSlb8cifF7ToImLIiLiKA/HsMDyzRUYY+hfWoTBaNVZEWmU+hJqt0eVF4APgbcBd0WTpcGKgs7LcUjPdtltiIhIHtjTGTGqd6tYeFdEsshtQl1orf1JRlsiIiIiItICuZ2R8bIx5uSMtiRfJWIQqXA+kurcFxEREck3bnuobwR+boyJArGabdZa2yYzzcoDkZoVEOc8ButmgvFA/0kw/HSwQKAwm60TERERkTRxlVBba0sy3ZC8Eq2ET+6FyX+CePjL7Z89Dq/+CE79Oww5CQKqgSoiIiLS0rkuwmmMOd0Yc0vNx6mZbFSLFqmA6XfD27/ZP5neu383PHMFLHkLYrXsFxEREZEWxVVCbYy5GWfYx4KajxtrtslX2SRM/mPquNd+BCQz3hwRERERySy3PdQnA8dba++31t4PnFizTfaViMGnD0Mimjq2YjOs+DDzbRIRERGRjGrIuqvt9vm6bZrbkR9i1c4ERLdWTYVkPHPtEREREZGMc1vl40/AbGPMe4ABjgZ+lrFWtRbG4Pw5RURERKSlctVDba19HBgHPFvzMd5a+0QmG9Yi+Qug75Hu4/t/DTzezLVHRERERDKu3oTaGDO05vMYoBuwFlgDdK/ZJvvy+mHkBU5inUrbntDrsMy3SUREREQyKtWQj/8Brgb+Wss+CxyT9ha1eAZO+CO8/P16Qjxw2j+dzyIiIiLSotWbUFtrr675/LXmaU4eCBTBIeeDxw9v/Qqqd+y/v6QbnPEv6D0OfMHstFFERERE0sbVpERjzHnA69bacmPML4ExwO+ttbMz2rqWKlAEB50DB58Li1+HtdOd3ugBx0CfCYABfyjbrRQRERGRNHBb5eNX1tr/GmOOBE4AbgHuAg7PWMtaukCh83nEmTD0ZMCAL5DNFomIiIhIBrgdxJuo+XwKcKe19gVA2aEbxjhDO5RMi4iIiOQltwn1OmPMv4FvAK8aY4IN+FkRERERkbzldsjHN3CWG7/FWrvTGNMN+FHmmtXyJRJJqqJxysMxFq7fiTEwsncnAh5LSWHDxk9XhGNY4NPVO4jGLf1Li+jaJkTI78HrOfC6pioax2CYs2YH5eE4XduGGNS5BK/HEPA1/ToolkgSSyRZvb2K1duqKAx4Gd27PQBFQbf/UtlVHo7h83j4dPUOdlXF6No2xLBubQBLQeDA3yEST5BMwhebytm4O0zbAj8je7YDoCCgWuItTUUkjsF5T1VHE/TtVETP9gUEvB583vzsKygPx0gkLXPW7CSesAzuWkKHogCFfi8ejxaYygfJpKUqlmB7RYQvNlXg8xpG9WqH12MoCfmz3byMiCeSRBNJ1myvZtW2SgoCXsb0bo8FilvI+Ujyg9v/tm7AK9baiDFmEnAI8HCmGtXSVYUjrNxWxW9fXsSMFdv3bvcYmDSkM78/YzgdCn0UBOuv8hFPJqkIx/nNi/N57fONRBPJvftGdG/Dz04ayuje7fdLYquicf765hc89ckayiNfLmves30B139tIKeP7E5hEw4ylZE4Hy7Zwv+98QXLtlTs3R7yezhzVA9+ccowigK+nD5BV0Xj3P7eUh6fsYZd1bG927u1DXH1Uf35xqG9DvibPjNrHXdOXsr6XeG929sU+Ljw0N7ceNwgCmtJwiX3JJOWimic37+0gBc/W08k/uV7alDnYn584hCOGNCpxVwYuhFLJNlZFeWXz8/n7YWbSCTt3n2je7Xj16cNZ0jXEv0Pt3BV0TiLNpTzu5cXMGfNzr3bfR7DccO78L9nHETbQj/+PLpgrIrE+WjZVv78+mKWbv7yfBT0eTh9ZHd+ddpwinP8fCT5w1hrUwcZMwcoA/oCbwAvAkOstSdnsnGplJWV2ZkzZ2azCQeojkRYsKGcb977yX4n6321KfDx8vUT6N42hM9X90lsR1WU026bwtod1bXuNwZuvWA0xw3tTGHQR1U0ziX3zWDWqh21xgNcM3EANxwzsFFJdWUkzlMz1/D/XlpQZ8zgLsU8e+0EikO5eXKuisa56uGZfLR0W50xFx3em5+fPIyioI+qSJw/v7GIh6auqjN+fP+O3HdZmRKSFmB3OMZZt3/Esi2Vdcb88ayDOGNUj7xIqq21bC6PcMo/P2RrRbTWGJ/HcN+lZRzWr0Otd2ck91VHE0xfsY0rHpq53wXTvkqLg7xyw5GUlgQxpuUnmJWROM/PXscvnp9XZ8yA0iKe/+6EvO2dl+ZnjJllrS2rbZ/bS9WktTYOnA38w1r7fZxea/kq4+U7j8yuM5kG2F0d59pHZxNJ1H0xUx6O8bNnP68zmQawFn7w1Bzi1hKJJbh/yop6k2mAu95fxoptdScT9SkPx/jdy3Un0wBfbKrg5tcWUrlP73iuCMcSPD5jdb3JNMCj01fz+dpdACzcWF5vMg0wbfk2Hp+xhmg9r7lkX0XE6ZmuL5kG+OXz86iOJeqNaSkqI3FuemJOnck0QDxp+e5js4GWn2S1XpbrH5tdZzINsKUiwo1PzsnJY3NjVEUT/OqFupNpgGVbKvnfV3LzfCT5x21CHTPGXAh8C3i5Zpsu+b4ikUjy4Reb6j157TF//W7Wba+q+7GSlrcWbEr5OLGE5bHpq0lYy8PT6k/89rhz8jLKw7HUgfuoisa5+4PluLihwXOz15GLd9iS1qZMjvf49wfL2VkV5c7JS13FPzh1Rb0nM8k+A7z42fqUcUkL909ZQXW05SfVu8Nxpi2v/wISnIuNV+auJ57QRWFLE08keemzDVS4SBqnLdu231DAlqo6Gue+Kctxc8h9Yc66zDdIBPcJ9beB8cAfrLUrjDH9gEcy16yWqTIS4dV5W1zHv/z5RpLJ2k9gHy3d5jpBe3P+JiojCTaXR1zFv7doc4MnJyaSlncXbXYVWxlNMG/97gY9fnPYVRVjdT0XMft6/4vNFAd9TF7s7vVcs72anVWpL6Qke2av3lHvnaN9vb1wE7E8SC7fmL/Rdexr8zdSlQcXEa1NVTTBa/Pcv85vzU/dUZPr4knL2wvdnY/CseR+Y8pFMsXVgDlr7QLghn2+XwHcnKlGtVgWwnH3J6TqWJJEIoGnlkod1TH3vQiReIKGDImLxJN4GziGzmMM4Zj7BCOcgyfmSAMSJAsYY4g3oNfZbbIm2VHdkP/fWDIn77I0VEN62cOxBBbdZWlpLM45wK3KaMvvoTY07HcO58kQLsltrropjTErjDHLv/qR6ca1NH6fh34dC1zHD+lcgN9f+8iZAaXFrh+nT8dCvMa4TgD6dCxscPKXSFr6dCx0Hd+7AbHNpbQ4iN/r7o/UpSRENJ6kRzt3r6fPY+hUUn/VFsmuvg34n+zbsdDV7eRcN7hrievYvh2L8qoCRGvh85gGHZuHNOB/IlclLfTpUOQ6vm9H97EijeX26FkGHFrzcRTwTzTk4wAFwSCXHdHPVW9xYcDLySN71rl/aNc29GzvLpm74sj+hPwejh5c6ir+W+P7NnjIR3HQx+UT+rmKPbhHWzoV515yGU8k+frwrq5iLxrXm6RNcvG43q7ijx/eBXXu5bYe7QsY0sVdMnH5kf0oydFKNQ0xYWAn2he6m+5y5VH9VKmmBSoK+rjiyP6uYjsUBThiQKcMtyjzSkI+Lj+yr6vYoV1L6NauYWs/iDSGq6zKWrttn4911tp/AMdktmktU1HAyxkju6eMu/LIviQTdd9683oMP/z6kJSPM6Z3e4Z3a0NBwMePTxiasge2e9sQ543t2eCeKI/HMHFIKYM6199zbgz8+MQhhPy519PVtjDA/xw/mGCKi4nS4iCXju9LUdDPxeP6UJqi5zno8/DDrw/J2VKB4gh4Pfz4xNTvqWHdShjXv2NelBbDWr53zKCUYV8b0pnOJUo6WqpubUNMGpK6Q+V7xwx0NbE81xljOGJAJ4a66G3/8YlDCejOizQDt0M+xuzzUWaMuQZo+feNMqC4IMAfzz6Y44Z1rjPmW4f34pqJAyguqPsEFvB5OH54F355yrA6e7xH92rHQ5cfunelvr6dCrnnW2V1Jow92xfw9LVHNHq1xKDPw5PfGc/gLrUn1V6P4a/njWRM7/a1ruCYC7q0CfLAZYdSWMfqhp1Lgjx1zfi9f8OQ38vT14yna5vaX6sCv5f7LzuU7i6Hhkj2+LwexvXvyM1nH1zn8Khh3Up4/KpxKS+6WoqCgI8LDuvFdycNqDPmiAEd+dc3R+dF3e3Wqijo4/ZvjmH8gI51xlx/zEDOP7RX3qzsGvR5eOLqcXUm1R4Dfz7nYA7v1yFvVz+V3OJ2YZf39vk2DqwA/mqtXZyphrmRiwu77FEVibFsczn//nAlC9bvxhhDWZ92XDOxP51LghSFAq4epzISpyIS594PlzN58RZiiST9OhVz1VH9GN2nPQX+/Q+O1dG4U0pvxmpe+mw95eE43dqGuGRcH44b3gW/1zQp2bXWEo4nmbZsK/dPWcmaHVUU+L18fUQXLjuiHyGfp0krMTaHykicpLU8PmMNL362jt3VcTqXBLngsF6ccnB3PB4I+r78u8YTSWIJyxvzN/Lo9FVs2h2hTYGPM0f14PxDe+H3eAjlyUmqNaiMxAnHEtw/ZSVvL9xEOJ6gT4dCrjiqP4f360DQ58mP3ul9VEbi7KiK8u/3lzFt+XYSScvgLsVcffSAmjtc+v/NB9XRBPPX7+KeD5fzxaYKvB7DEQM68p2j+9OuMJB3F03WWiLxJB8v38b9U1awansVIZ+X44Z14fIj+xLye/Pud5bsqm9hF1cJda7K5YR6j92V1RiPF2stBktJYeNuq1ZF48QTFmOcBV3aFNQ/LjISTxCpqVSQtFAU9Ka119haS3k4vrc9AW/LSyqrowki8QQeY0haS1HQi99b9++QSCapjCT2/s4hv7fRvf2SfdXRBLFE0nk9gZKgL+8S6a+qjMRJJO3eu15aQS4/7VlnwFrnzmG+J5VfPR/5fZ4DOptE0qG+hNrVu8wY80fgL9banTXftwd+YK39ZdpamafaFKVnKEBDJwsFfd79elnTzRiTMqnPdQUBb4N65rweD20KlEDni4KAlwJa10k33xMrcbS2C6V8OB9Jy+c2OzhpTzINYK3dAZyckRaJiIiIiLQgbhNqrzFmb6kDY0wBkHt10UREREREmpnb+3+PAO8YYx7AGW54OfBQxlolIiIiItJCuF16/C/GmLnAcTirfv7eWvtGRlsmIiIiItICuJ2UWAS8aa193RgzBBhijPFba2OZbZ60VsmkpSoap6BmMmY4liDo86ieqIiIiOQct0M+PgCOqqnu8TYwEzgfuChTDZPWqzoa54MvtnL3h8v5dPUOrIUhXUq44sh+nDayOyF//tUJFhERkZbLbXefsdZWAWcDt1lrzwKGZ65Z0lpVReNc+fBMvvPILGat2rF3mdzFm8r58TNzOeuOj9gdrnvJdhEREZHm5jqhNsaMx+mRfqVmmwqaSlpVhGP85sX5fLR0W50xizaWc9XDM6mMKKkWERGR3OA2ob4J+BnwnLV2vjGmP/Be/T8i0jBJC8/PXpcybsaK7WzYVd0MLRIRERFJzVVCba1931p7urX2zzXfL7fW3pDZpklr8+zsdcQS1lXsQ1NXUR1VL7WIiIhkX73DNowx/7DW3mSMeQmn/vR+rLWnZ6xl0qrEE0nW73Tf67y5PEwsaUnPwu4iIiIijZdqHPR/aj7fkumGSOvm9RjaFfhdx7cJ+fGq0oeIiIjkgHoTamvtrJrP7xtjSmu+3tIcDZPWxRjD2WN68Jc3FruKP6+sF0VBzYsVERGR7Kt3DLVx/NYYsxVYBHxhjNlijPl18zRPWpOioI+jB3VKGdevUxEH92jbDC0SERERSS3VpMSbgAnAodbajtba9sDhwARjzPcz3ThpXUpCfv554Wj6dSqqM6ZjUYCHLz8Mv1fDPURERCQ3pEqovwVcaK1dsWeDtXY5cHHNPpG0ahPy8+L1E7hu0gDaF345proo4OXiw3vz5vePpmubkJYgFxERkZyRahCq31q79asbrbVbjDHuZ5BJzkgkk1REEuzp3y0O+vB40tzbGymHZML52h8CX8j1j3o8hpKQn+8dM4gbjh3E1ooISQulxUGS1qZ13HQ8kaQy+uXfoiTk05LmktfC0QSRRBIAn8c02zyEZNJSUbMYkwWKg168nvy+KG6WY21d9j0G+0LOcVhEMirV0TTayH2SY6LxBIkkvLVgI/+dtZadVTE6Fge46PDeHDmoFL/HNL3XN1oF25bCtNtg61LwBWDg8XDoleD1QaDY9UMVBLwA9Gxf2LQ21SIST5BMwmvzNvDMp2vZXR2nc5sgFx/eh/EDOuL3mrw/2UvrUhmJE4kneWDKCj5ato1EMsngriV85+j+dG9XQGEgM4l1PJkknrB8tHQrj3y8mq0VEdoW+Dl3bE9OGNEVrwcCPm9GnjtbovEkiaTd7/jSqTjIxeN6M2Fgp8weX6KVsHMNTP0nbFkIHh/0mwSHXwO+IATdH4NFpGGMtXUvpGGMSQCVte0CQtbarPZSl5WV2ZkzZ2azCS1CJJ5g5dZKLrp3OlsrDrwO6tGugCeuHkfXtiH8jU2qIxXw1CWw7N0D93l8cOo/4KCzGpRUZ0I4lmDJpgouuX86O6tiB+zv07GQJ68eT2lJQEm15IXKSJzHpq/mT68tJFnL4f7Eg7ryt2+MTHtSHU8k2VQe4YK7p7Fm+4E15jsUBXjkisMY0LmYYJ4k1ZFYgiWbK7jkvunsqOX40qtDAU9ePZ7OJcH0D1uLVsKzV8Oilw/cZzxw/O+h7NsQqHuOiojUzxgzy1pbVtu+et/R1lqvtbZNLR8lTU2mjTFeY8xsY8zLNd93MMa8ZYxZUvO5fVMeX760qzrGeXdNqzWZBli3s5qz75xKdTTRuCeIVsGTF9eeTAMk4/Di9bBsMiQOPMk0p20Vzgm+tmQaYNW2Ks6+4yPCsWQzt0wk/cKxBC/PXc8fXq09mQZ4fd5Gfvz0XCoj6V15NBxLcM4dU2tNpgG2V0Y5/98fs70yf252bq+KcsHdH9eaTAOs2V7N2XdMJRxr5LG2LtEKeP662pNpAJuEN38B85+DWDi9zy0igMulxzPkRmDhPt//FHjHWjsIeKfme2miykicW99ewu5w/SfLLeURHvhoReMO9NuWwPL3Use9/eusJtQVkTi3vPkFlSkuHNbvCvP4jNVE40qqpeW75Y0vUsa8PHcDO6rSl9hG4gkemraKjbvrT97KI3H+8faStCfz2VARifO3N7/YO1a8Lht3h3lk+moi8TQm1ZVbYcHzqePe/T21LHosImmQlYTaGNMTOAW4d5/NZwAP1Xz9EHBmMzcrL3k9hudmr3MV+8j01TR4Tl64HKbe5i522zLY6m7hlkzwGHj18w2uYh+cupJEPcOhRFqC6Su2s6Ui4ir23g9XUB1NT2JrLfxn2ipXsS/MWYe3uSbrZZDXGF6au95V7MNTV5K2w0u0Cqb+y11s+UZY/XGanlhE9pWtHup/AD8G9u0C7GKt3QBQ87lzFtqVd3ZXx6hyOZRjS3mEZEM7ZW0Cti5xH79pQQOfIH22VkSJuOx1XrujWrWupcWbv26X69ilmyuIJtKT5XmMSdk7vUc4lmRHHgz72F4VdT1UbP2ucPouIhJR2Jr6LsReGz5Lz/OKyH6aPaE2xpwKbN6zrHkjfv5qY8xMY8zMLVu0CnoqDZ340qiDvC/QgNhgwx8/TRqSIBsDBiXU0rKF/O4n+/m9nrT9xzd0Pm8+1JX3N/DYmbYKnYYGHoNVQk8kE7JxFJsAnG6MWQk8ARxjjHkE2GSM6QZQ83lzbT9srb3bWltmrS0rLS1trja3WCG/p96VB/c1pnd7ookGdlH7QjDwOHexxgP9Jzbs8dOoXUGA7m3dnUyOGNCRqjTd/hbJlmOHub/Rd+ywzhQG0lNtIxxNcFi/Dq5ie3UooLiZ6mFnUknIT8/2Ba5ix/fv2PhJ4F/lL4JBJ7iPH3Jiep5XRPbT7Am1tfZn1tqe1tq+wAXAu9bai4EXgUtrwi4FXmjutuWjgNfD5RP6uor9ztH9KWxAjxbgLBhw6FXgcfFzA48Db/Z6qD0e+NYRfV3FXjtxACUhrV0kLVvH4iBjerdLGVfg93LW6B5p6ykuCvq4ZmJ/V7HfPqJffoyh9hguc3l8+c7E/um7iPD6YdSF4HeRzPc6HAo7pud5RWQ/uXSf7WbgeGPMEuD4mu+liXxeD+eM7cm4/vX3Fp0wogtHDe7UuJW8fAE4+Zb6Y4pK4fTbINSm4Y+fJkGfl2+N75MywThzVHfG9FHVRmn5Cv1e/nHBaNqE6k7ejIFbzjskfUMQAGMM4/p35JSDu9YbV9anPRcc1ouAL5dORY0T8Hn45uG9GZvi2HHqId04rF+HNK/KauCMO+ofRxJqB2ff4/Roi0ja1buwS67Twi7uVUXj3PzaIp6etXa/SYptQj4uHteH648Z2LSFHaKVsOQtePu3sGPFl9uNgQHHwhm3Oz0j3uz3+lZG4vzvKwt4bva6/SYRtS3wc/mEflx1dL+MrRwn0twi8QSbd0f48TNzmbZs2377BpQW8+vThnNon/YUZmDYRVU0zp2Tl/HQtJXsrv5yCFWB38s5Y3vws5OGNdvy582lMhLnj68u5JlP1+53fGlT4OOyI/pyzcQBmTm+RCth1TR446cHThTvNxHO+BcUd8nqPBaRlq6+hV2UULcilZE4xsCUJVvZVhGha9sCxvXviMWm5wAfj4KNw6b5sHmhM766/yTncxZ7pmtTEXb+Fh8u2cKOyijd2xVwWL+OgKVAybTkGWstlZE45eE4H6/YRixhGd6tDf1Li/B7PY1fIdWFqmgcg2H6im1s2FlNh+IgRw7sBJB3yfQee+pqT1m6le0VEbq1K+Dwfmk81tYlEXOqfmxbChs/B48f+h0FwRJnldq09oqLtD5KqEVEREREmqDRS4+LiIiIiEj9lFCLyF4t+Y6ViIhItuTnADYRca08HKM6luClOevZWR2jd4dCTj64Gxbyoj6wiIhIpulsKdJKJZOW3eEY33/yMyZ/sZl9O6d/9cI8vnlYb354whBVPBEREUlBZ0qRVqoyGuesO6ayYmvlAfvCsST3f7SSdTur+cf5o1T5REREpB4aQy3SClVF4/zznSW1JtP7emP+Jj5dvbN5GiUiItJCKaEWaYUMhidnrnEVe9f7yygPxzLcIhERkZZLCbVIK7RhV/V+K9fVZ8aK7YT83gy3SEREpOXSwMjmZi1EK6B6J6z9xNnWfQwUdQR/EXhy5xonEktggc/X7WLdjmrahHwc3r8jkL8rnFVH44Bh1qrtbKmI0Kk4SFmfDplf4ayZJZLuy+MlkpaWur5aeThGLGGZvnwbsUSSwV1K6N2hkIDPgy+DqwOKZEM8kSQST7JuRzWLNu7G7/VwaL8OBH0eSkL+bDdPJK/lT4bQEsSqYedqePkmWDV1/309D4VT/w4dB4K/ICvN21dVNM5Tn6zhjsnL2Fwe2bs95Pdw9uge/OKU4XmXVFdF49w5eRkPT1vFruovhzi0KfBxyeF9+O4xA/Mmqe7eroCgz0MknkwZO7RbCeFYkuIWlIDGEkl2VkX52bOf8+6izex7/TCoczG/PHU4h/ZpT2Ge/Q9L61UZifPZ2p38/uUFLNxQvne7MTBxcCl/OvtgOhYFCPh0t0kkE1rOGbKlS8Rg2zK4e9KByTQ4vdX3Hgub5kE8cuD+ZlQViXPLG4v57UsL9kumwan+8NiMNVxw98dURdwNGWgJqqJxbnxiDre9u3S/ZBpgd3Wc2ycv43uPz6Yqmh+/s7Vw0kHdXMVeeWR/CgIt61CxozLKybdO4e2F+yfTAEs2V3DZAzN4e9HmvHk9pXWrjsb5aOlWLr53+n7JNDjv9cmLt3DyrR+ytSJKsgF3p0TEvZZ1lmzJEjF46hKIVdUdE4/Ak5eATd1rmEnLtlRw/0cr6435fN0u7vpgOeFYonkalUGJZJJ3Fm7mrQWb6o17Z+Fm3py/iUQyu69POhSHfPzkpCG0CdXfQzusWwknjOiKN4eGIqVSHo7xw/9+xpaKui9MrYUf/fcz8uClFMECNz0554CLx33tqIpx05NzqIq2/GO2SC5qOWfJlm7j57B9eeq48g1OD3aWloAuD8e4Y/IyV7GPTV9FPvR1hGNJ/v2Bu9/5ng+XE47lRxbWoSjA09ceQdc2oVr3j+3TnieuHk/I37IOE9XRBB8u3ZoyLhJP8sQnq4m6GPYikqtiiSTPz17nKlGesWI7O6ujzdAqkdZHAwibQzwKC553H7/wReg9HgKFGWtSXQI+Dx98scVV7NaKKOt3VjOgtDjDrcosY2Deut2uYuev350XFxEAQZ+Xfh2LmPyjSUxbto1nPl1LRThOl7YhLjuiL306FLbIMcaTv9ji+nr0nYWbOa+sFwFfy7poENmjOprgzRR31/b19sLNXHZE38w1SKSVanlny5bIJiDRgF6BeDhrwz48xhBNuH/uWB707sUTDUuR4w34++Q6v8+DH5g0pJSyvu2xFrxeQ1ELnnzZkGFIbiZliuQyCw26y1KteQMiGaFumebgDULpMPfxpUPBF8xce+oRjSfp27HIVazHQLe2tQ8XaEmCfg9tCtwlkCVBHwWB/Jslb4yhJOSnTYG/RSfTAEO6lLiO7depEJ+npRYFFAG/x9Cvk7tjNsDwbm0y2BqR1ksJdXPweGDk+eBzkXx6fDD2MvBmp2ZowOc54HZgn46FjOrVjiFdSvZLPr42tDOePEhGEknLN8b2chV7blnPBtVwluZ3SM92dY4L/6qrju6fd+UfpXUpDPq46qj+rmI7FQc4rGYtARFJL51JGqA8HMNa2LQ7TMDnoXObEB4g6GoVOQPjroMpf6s/rOwKJ6luikTM+ajaBtFKKOrk9JIHi50Bw/Xwez2cNaYH905ZzuH9OnLt+M50KjDEd2/GEyomWdCBR2as55EZ6/nxCUPzYrGAwoCPa782gKc/XcvOqrqX2G5T4OO7X8ufWtT5yuOBH584hP956rN6444e1IneHZp/noJIupWWBDl+eJeUlYq+f/zgFrtIk0iuMzZL1STSoayszM6cOTPjz1MdjbN6ezX/98ai/RaJ6NImyLfG9+HbE/q5S7KiVfDWr+GTe2rfP+oiOPmWpk1GjFbB3Cdh2r9g29Ivt/c9Er72c+g2CgL13x5MJJMkI5XE186h4KObYeWUL3d2HEDk0OvwjLyAhC9EyJ8fyWU0nmTVtkouvOdjtlYcON69Y1GAx68aR59OhQS1MELOq4zEeWLGav7w6sJaS4lNGNiRuy8pU++05I2qaJzrHv2UyYsPnFRuDPzw64P59hH9WuREY5FcYYyZZa0tq3WfEur6VUcTzFy1nSsenFnnZL2yPu156PLD3J2cIxVQtRU+uhXWzgQsdB8NE26Ekq4QaELFjGgVvHAdzH+u9v3GwKm3wsHn1ptUJ8IVMP9ZvC/fUGf5Pjv8TDjzDkyK5LwlicWTxJOWN+Zv5MlP1rCtMkKHogDfKOvFSQd1w+tBq4y1IJWRONWxBA9MWcH7S7YQT1gGdi7m6qP7M6hzMQW60yD5Ih6BnWup8haxYkecf0/fwpLN5Xg9hgn923PFuG4UVa6lqHM/CGkMtUhjKaFugvJwjMP+8A7VKSoHXD6hLz/4+hD3PV6RCqf6B4DxQND9RKpaJWLw6X/gle/XH2c88L3Z0KFvnSHJ7Svx3DY6ZaWRxEl/hbHfwusLNKLBuSuRTFIRSWBwZtAXB70tamET2V91NEGs5mLYGPJimJLIfmLVcOshzjC/QSdQMepKkm17YxMxApvnUjDrLlg/G4adDmfcrqRapJHqS6jVRVOPaDzJEzPWpEymAf47cy0/OmGo+wcPprl2cyIG025LHWeT8NHf4YQ/1NobHq8ux/PR312V7fNOvx07+ptAfiXUXo+HtgVKoPNFQcBLAbqzIHkqmYSlb0PFZuf7xa9SvPjV2mMXvwLJW5uvbSKtiLKGeoRjCV78bL2r2PJInE9X78hwi+pRudndSowAC14AU/u1lNfnw7PgBXePs305ttz9ggIiIpJm0XL47HF3scmEs3CYiKSdEup6GAMVEfdF8HdX110hIuOile5jI7vBW8fNCY8PIuWuH8pGKtw/r4iIpJe1DTpmU7Utc20RacWUUNfDWlzXswXo1q4gg61JoaiT+9iSbs5y6LVJRKFNd9cPZUpK3T+viIikl8frHNPdat8vc20RacWUUNejOOjj4nG9XcV2bxtq0AptaecvhN7j3MWOudSZnFiLhPWQGHWJu8fpdTj486fKh4hIixMsgcO+4y42UAyDT8xse0RaKSXU9fB4DMcO60IPFz3P131tIN5s/jX9RTDpZ6njQm3hsKvBX3vPuy9YgOfwq524FBITf5qyprWIiGRY52FO+dVUDr0Sp3aRiKSbEuoU/F7DU9eMp1vbuod+XHFkP84e0yO7NYo9Huh5qLMwTF2rIYbawrdeBH/9FwgJb4jEJS/WnVQbQ+LEv0DPw/ConJyISHb5C+DiZ6F0SN0xI86CiT9WJ4hIhqgOtQvxRJJIPMlTM9fw0NSVrN5eRcDnYdKQzlw3aQADSotzZ8W1aCWUb4AP/wYLX3JmgJd0c4Z5HP4dZ2iIL5jyYeLRMN54Ncnp/8Y7+2EoX+/cLhx2OskJ38eWdMMbSnPpPxERaZxkEhJhmPcsfHwHbFkExgt9j4Ijb4IeZU1bhVdEtLBLukTjSeLJJEGfh0QSIvFE7i4SEakAr9+p2pGIAqbOYR71iUeq8RrrJOHJOIlYBF+BFgUQEclJiTjEw87x3lpn0Rct5CKSFlrYJU0CPg+BmlEyzjLUOTzcYd+FYzyNrz7iC+7zsx4vPhe92yIikiVeH3j3Of57c7TTRyTP5HBGKCIiIiKS+9RDLfIV4ViCRNLi8xjiSYvXYwj5tXS1iIiI1E4JtUiNcCxBdSzBQ1NX8syna9leEaV9UYCzx/Tg20f0oyDgVWItIiIiB1BCLQJUxxLMWb2Tyx/8hOpYYu/2ymg1/3xnKXd/sJz7Lj2UMb3bUxBQUi0iIiJf0hhqEWB7RYTLHpixXzK9r3AsyeUPfsKWikgzt0xERERynRJqafUqI3Fue3cpkXiy3rhIPMlt7yyhIhJvppaJiIhIS6CEWlo9v9fD83PWuYp9ae56AlldY15ERERyjTIDafWqYwnCsfp7p/cIx5JURdVDLSIiIl9SQi2tXrCBC/Tk9II+IiIi0uyUGUirF08kGde/g6vYQ/u2J5m0GW6RiIiItCRKqKXVKwr6uHbSAFex10waQGEgDdUmIxVQvdP5iIWb/ngiIiKSNapDLa2eMYZD+3bgW+P78PC0VXXGXXR4b8b374jHYxr/ZNFKKN8AH/0Tti4Gjw8GHAOHXgnGC8Hixj+2iIiIZIWxtuXevi4rK7MzZ87MdjMkT1RF47wydwN3vb+MZVsq927v36mI70wcwGkjuzWtdzpaBc9fAwteOHCfxwcn/QVGXgCBosY/h4iIiGSEMWaWtbastn3qoRapURjwceboHpxySDc2746woypKu8IAXdoECXg9+JpSLi9aAc9/t/ZkGiAZh1f+B0JtYdhp4As2/rlERESkWSmhFtmH3+vB7/XQt5OPvqSxp7hiMyx4PnXc27+Boaek73lFREQk4zQpUSTTopUw9V/uYnethXWzMtseERERSSsl1JKzEskkFeE4FeE48YS7hVdyUiLmTEB0a8PcjDXFWktlJE55OEYknsjY84iIiLQmGvIhOac6GgcMr8xdz5Sl20hay6he7fhGWU+MMRQFW+C/rcfvPtYXSPvTR+MJEhZmrtzOi5+tpzqaoE+HQr51RF+KAj6KQy3wbyoiIpIjdBaVnFIZifPWgk388vl5VES+XOL7xc/W8+fXF3H9MQO54sh+6akF3Vz8BTDwOFj+nrv4QV9P69OHYwmWb6ngyodmsn7X/jWv73h/Gacc3I2/nHtIy/qbioiI5BAN+ZCcEY4lmLx4Czc9OWe/ZHqPSDzJX9/8gvumrKCylv05yxeEsZeC10XPc+9xUNA+rU+/YVeYc++adkAyDWAtvDx3A9c+8inVUQ0BEZFmlog6JUUTsSY9TDyRpCoa11A2yZpmT6iNMb2MMe8ZYxYaY+YbY26s2d7BGPOWMWZJzef0ZhXSIvz2xfkpY257ZymJllY/3XjgtFvrjwm1hbP+Df70VRcpD8f43UsLqEqRLL//xRY+X7crbc8rIlKvSDlsXwnv/RFe/wlMvhl2rnG2N0BFOM7u6hgPfLSS3720gJtfW8SsVTuoisaJteS5N9LiZOMebxz4gbX2U2NMCTDLGPMWcBnwjrX2ZmPMT4GfAj/JQvskS6Yt28aWikjKuGgiyRMzVvPtCf3wN6U2dHMKFMHwMyBYAm/+Enas3H9/nwlw5h1Q0hU86fudYgnL+19sdhX77w+WMbRbCW1CDRjvLSLSEMkkRHbBk5fAyg/33/fhLTDgWDjvAQi2AVP/qrRV0Tj/9+ZiHpu+iljiy06WBz5aSb9ORfz7krH07lBIyO/NxG8isp9mT6ittRuADTVflxtjFgI9gDOASTVhDwGTUULdaiSSlhkrtruOn7NmJ+FYouUk1OAk1YNOgIHHwsZ5sOEzZxjIgGOgoB0EilOeQBrqi03lJF125s9ftxtvmp9fRGQ/sUq473jYuqT2/cvegQdOgiveqnfV2KponJ8/+znPz1lf6/4VWys56/aPePXGo+jTUavPSuZlNRsxxvQFRgPTgS41yfaepLtzHT9ztTFmpjFm5pYtW5qtrZJ5DcnlDC008fMFwF8IvQ6Dw65yxla36+X0XGcgmW3IIyqXFpGMiodh+t11J9N7bJoPsx9xxlfXYdW2qjqT6T0qowl+88J8ysNNG58t4kbWEmpjTDHwDHCTtXa325+z1t5trS2z1paVlpZmroHSrLwew9GD3b+e4/p30G08F4Z1a4PP4y5THtO7PcmWNjZdRFoOa2Hmve5ip98Fydonn5eHY9z1/jJXD/P+ki2EYxpLLZmXlYTaGOPHSaYftdY+W7N5kzGmW83+boC7gZ+SN0b2bEfP9gUp4wr8Xs4e07NlDffIEo+Br4/o4ir22kkDKNH4aRHJlFg17K6/V3mv7cudBLwOn63Z6ephrIX56zXhWjIvG1U+DHAfsNBa+7d9dr0IXFrz9aXAC83dNmmacDRBdSzB5MWbuf29Jdz34XJWbqukIhwn6WIgr9dj+Ms5h+BN0aP6q1OHtdQBH3WLR5zSUaumwZS/w0f/dFZMjFZCovElAotDfn5z2gjaF9afKJ85qjv9SzXOUEREpDGyUeVjAnAJ8LkxZk7Ntp8DNwNPGWOuAFYD52WhbdJIlZE4L362nr++uZitFV+Oe/v9KwsZ07sd/7hgNF3aBAn66h6mEfB5GNW7HQ9ffhg//O9nbPhK3eT2hX5+ccpwTjqoK4UtcbXEukQrYeVH8OoPYeeq/fd1HgZn3AGlQyFQ2KiHb1/o5+XvHcXV/5nJ/PX7j64K+jxcPK4PP/z6YAq0sIuIZJK/AEq6QfmG1LHt+znlRmthgEN6tmPltqqUD2MMjOjepoENFWk4Y1vwmMmysjI7c+bMbDej1auMxHnk41X86bVFBLweJg4ppUubELFEknnrdjF//W7aFPh49Yaj6NGuAJNi9lskniCZhE9X7+D9L7aQSFrK+rRn0tDOYKEgkEdjp2NVsPQdeOqSum9vegPw7Veh68hGL0ueSCYJx5Ks21nN87PXEY4l6NepmLNG9wADxfl0gSIiuSkWhqm3wXv/mzr2xJuh7Io6j3nz1+/ilH9OSfkwRw/qxO0XjdFwNkkLY8wsa21ZrfuUUOcGay2VkTi7wnGmLdtGPJHkoB5t6V9ahN/ryenxwtsqIhz1l3f57tcG8Y2ynizcUM6yLRUEfR6OGNCJHVVR7pi8jKponH9fXEZxyH3yFk8ksZDTv3+TxKrgr0MhnGKMX4f+cM1Hje6l3lciaUkkk/i9npQXNyIiaRUph7snwrZ6JhV2HgZXvpOybN6Pn57Ly3Pr7u0uDHh55Yaj6NdJw9kkPepLqNUtlQMisQQbd4f58dNzmf6VWswDSov5zWnDKevTPieHOVTHEjwybTWPXjmO5VsrOfvOqazZXr13vzFw9KBSfnv6CB6bvpqKSLxBCbUvXxNpgGQCFryYOpkGZ4LOxs+h9+FNflqvx+D15FEvv4i0HP4iuOJteOKbsHragfv7TYRvPOyUF61HYcDHX849hHaFfh6fsYbEV+bp9OpQwD3fKqNb21A6Wy9SJ/VQZ1kimWTN9mpOu20K5ZHaJ58ZA3dcNIZJg0tzbpzrruoY89fvYtGGcn738oI64zoVB3j6miPYtDvM4f07NmMLc1ikHF6+CT5/2l38kd+HY34FSoZFpKWLVED5Rpj1IFRvh8KOcOgVzudgieuHqQjHiSeTPD5jNcu3VhL0eTl9ZDcO7tEOn9fk791NyQr1UKdBLJEklkiyelsVK7ZWEvJ7KevbHoNpUI/rV4VjSW54YnadyTQ4Q2t/8NRnzPzlcY1+nkzxGujfqZhL7ptRb9zWiii/fWk+fzjzoGZqWQtgcXqp3UrGwSYBJdTSCOHdkIzBmhlO5Zguw6G4izNRTBdp0tyCxRAcCMf+yjm2efyNmiOy5/x71VH9iSaSeIzRGgWSFUqoXaiMxJm6bCt/fn0xSzdX7N0e8Ho4+eBu/L8zRlAc9OL1NPxKeOOuMHPXpr7lXxVN8OKc9ZwzNrfqL1vgsRmrDrjdVpsPvtiC35c7bc86XxC6HgLzn3MX330seDWxRhooHnV6AF/+Pix5Y/+LuO5j4MQ/QdeD6x2vKpIxviAQbPrDeD35PURQcp7++1KojMR5Yc46rnp41n7JNEA0keT5Oes4/V9TqIg0oKdxH28t3OQ69u2Fm6iONu55MiVpYcqSra5jP162LcMtakF8ASi7HDwurmsL2sOQEzPfJskv1kLVVrhrAix+9cA7Ius/hQdPhlUfQbS69scQEZGUlFCnEI4l+OXz8+qNWbWtit++OJ+KcMMX4IjG3S+JGk/k3nh3A8Qa0K5IA37fVsHjg/HXp4479tf1rhomUqtoBTxzJVTWc9GbTMDTlwN6b4q0BLFEkqponKWbK/ho6Vbmrt1JOJYgHMutDrfWRkM+6lEdTXD/lJW4GM3Aq59v4PdnjGjwczSk4PyAzsU5NdwDnKWt+5cW8fk6d0u7Du3qfrJJqxAshok/cZKaj2+vGSO9D68fjv0tHHJ+WkrmSStTvcPpfU4lUg7znoWRF4JXpwWRXFUZifP2wk38852lLNvy5V3zTsUBLh7Xh6uP7k9hjhUvaC1yKzvLMbFEkncXuxuSEYknmbVqR4OfY8LATnQscjcR44oj++XcoibFIT9XH9XfVWy/TkUM7Fyc4Ra1QIFCmPQT+MEXcNQPYMCxMPA4OO638KNlMPYyjW+Vxln0agNiX3ZW7RSRnFQZiXP3h8u58Yk5+yXT4Ez8/8fbS/jOf2ZRFW343XJpOiXU9TAGIjH3t0GrG3G7xQI/+PrglHFnju5O24LcnJDWr7SIowZ1Shn3s5OGatJIXYIlUFwKR/8Izn0Azrkfxl0HobZOL7ZIY8QakCDHwzhHJBHJRau3V3Hr20vqjflwyVYem766QcNJJT2U3dTDWujT0X3PYGNWYyrwezlzVA9+dtJQPHUsWnfqId3441kHU5SDC7uAU2D/rovHcnQdSbXfa/jLOYcwYWCnnBuyknP8BVDQ1vnwNX3mu7RynRswDK1Df1WREclR5eEYd7y31FXsg1NXuqq8JemVmxlajmhT4OeKI/vy3uLNKWMHdS6mV4fGjXEtDPq4eFwfzivrxYNTV/DR0m0kk5ah3Uq4+ugBdC4J5vSYqHAswbItFfzhrIPZuDvsFNjfUonfazhqUCnnH9qLhRt2k9SkOpHm1X8iFHaAqu2pY8dfr6FFIjkq6PPy9sLUuQjA2h3VbK2INDonkcbJ3SwtR5T17cBBPdowb93ueuN+ctJQqqIJtldG6VTs9Cw2pLh8UdBHURCumzSQK450xiT7PKb+XulE1FmgoXqHc7u2uLPTrR5yP9ExHRJJy4V3f0x1LMGkIZ05Z0xPLjo8RDSeZN76XZz/72ms3FbFOWN68P9OP6hJC+HUJRpPkkhadlRFicaTdCoJYq2lJJT5HrfycAwLbKuIUuD30qbAR0A1USVXTPwpvPbj+mMGnwglXZunPa1ZMukMw4lHIbzTOVb7CpxlthuxjoG0Hl6PIRx3P6xUFT+anxLqFEJ+L49eOY6L751eayULr8fw29OH077Qz4Sb3yUST1JaEuTiw3tz5VH9GzxMI+T3ukvEo1Uw+xGYfidsX+5s83hh0AlwzC+hfb9mqQoRSyR59tO1VNbUx3530WbeXVT7VfTLczfw/05veCWUVKqicR6bvpoHp65k7Q6nlq7PYzhueBd+9PUhdG9XkJHJnFXROCu2VnLLG1/w/heb91aD6d+piCuO6sdZo3vk9J0FaQX8BTD6Yqds3gd/qT1mwDFw7v3qnc60aCWsmuq8Dmv2WVm2xxg46ofQf5JeA6lTJJ6gR7uCvee4+hgDpSUaMtjcjG3Bt+HLysrszJkzm+W5qmMJPl21g3s/XMHq7ZUEfV6OGdqZCw7rxYL1u/n+k3P2JpV7jOjehievHp/+HtloJTx1CSx9p/b9Xj+c/yj0PSrjSfWu6hhXPzyT6Stc3FIG7rx4DCcd1C1tz18VjXPFgzOZtrz2BWOCPg8PfPtQxvRqTyiNSXVVNM77i7dw/eOz6xyrdvzwLtx6wSgl1ZJ9kQoI74Kp/4QVHzhLPXceBhNuhNJhKsmYadFKmHYHvPe/dcdM+D5M/JGSaqlVJJ7ggY9WcvNri1LGThpcym3fHN0sd2hbG2PMLGttWW37dKZ3qcDvZcLAThzcsy3glAt+c8FGrnhwJos3ldf6M/PX7+aXz8/j92eOaNI/diyRJJZIEoklCZkooRm3YepKpgESMSfh/p9FGT9RGqAi4r5ET3kjFr+pS1U0zj/eXlJnMg1OOcMrHpzJjF8cS4h0JtQJbnii7mQa4K0Fm3jk49VcekQfgr7cKncorUyw2Pk49tdOMg2AafbhYa3Wpvn1J9MAH/3dGfPef5LTxSiyj6DPy0WH9+beD5eztSJaZ5zXY/jB14comc4CDdpqoDYhP0UBLx8u2cKPnp5bZzK9xyufr29SIarqaJz/zlzDabdN4ai/vAeA+eTe1D8Yj8An90As3IRnd6d7uwLXsb3au49NxWB4YsbqlHHVsQRPfrImbWWEqqNx7vtwuasVIh/4aAVJVS+SXBEockoxhtoqmW4u4d3w4S3uYqf8zVndUqQWIb+X/35nPKXFtQ/n8HsNt39zNAM66y5HNiihboTKSIJnPl233zaPgXaFfoq/MmY6lrC8vcDd4jBfVRWNc8VDM/n5c/NYtqWSUb3aEdswv/5lhPc17xln4mIGtSnwc+n4Pq5iS4uDjOrdPm3PPWfNDna77PF+Yc76tE3SSFp4ae4GV7EbdoVZvV2LZYi0Wv4QLHnLXeyKD8DotCy183s99OxQyPs/nsSfzj6Yg3q0obQ4SP9ORdxw7ECm//w4jh5cqmGGWaK/eiNYnMoOAIO7FHPJuL6cPqo7sUQSv9fDrqoYj05fxVMz17CjKsaOqoYntZWROH99czFTl305nKEo6IWwu7HKgDNmshlmjo/t24HBXYr5YlP9PSvXThpAOm9k7qqOuY7dHY6l7S6q12PYHXb/3Okc5iLSWPFEkmgiiQESFvweg6Vh1YikEWJhZ4yg6/hqjaNuqGgVeHxOtStvAJIx8BflZeUUv9eD3+vh3LE9OfWQbng9hmTS4vN69F7OMiXUjeAx0LlNkCuO7MdVR/Xn4WkrOfavk/eOaxrRvQ0XHd6H1286mmv+M4se7Ro+jtkYePKTNftt21kVg+IGlLYq6UZzjDcI+Tw8ftU4zrtrGsu31t4b++0JfbngsF5pfcN3bRtyHdulTYh0zb+NJyydS0LsrnZ3a1azrSXbqqNxXvl8A/d+uIJFG51hanuqEV1+ZD8K/F6VecwUfwh8oZqVKFPw+JRMN0Q84nQcTfk7zHnU+Rqg9zhnwm2/iXn799yTWEvuUELdCCUhP/9z/GCshdP/NYXN5ZH99s9fv5ufP/c5R83rxN3fKqOkESscfrxs2wFVQz5dvQM6jHBWNNtTKq8+Yy51ymZlmDGG9oUBXrnhKF6bt4H7pqxwFnbxGY4eVMq1EwfQr7Qo7behhnRpQ7e2ITbsSn2iuujw3k4PfxoEfB4uPKw3v395QcrYIV1K6hzvJtIcqiLO0LGvTt7dUh7h728v4YlP1vDcdRMoLQngzcMevayLR+Cgs2HOY6ljh522z6RRqVc8AluXwIMnf5lI77H6Y+fjkAvg1L/lbVItuUVHz0bq0a6Qyx/65IBkel8fLtnKbe8uIZpoeC/x1soDh4nEEpZHZqwncsT/pH6AolI45BvNtpSwx2MoCHg5fWR3nrx6HJ/95uvM+Plx/OnsgxnRo21GxnR5PHDtxAEp47q2CfH14V3TliwEfB7OP7QX7QpT/21vOHYQAZ/eZpIdFeE4v3t5Qb2VcDbsCnPRvR8TjWeuhGpVJL63WlE8kWxQZaAWL1gCR/8o9bHY44WJP3HiJbVkHB469cBkel9zn4BP7muWyfkiOtM3grWW6Su2sWZ76gLr/525Fq+n4YN3u7SpfTjDXVNWsbX3ScTH31j3Dxd2hMtedcaSNTOf10NxyE/A54znymTpnqDPy7llPbn0iLonRZaWBHnqmvH4vektQxXwenjiqnG0Laj797vpuEFMGlKqW+mSRZbnZq9LGbVsSyWfrd2Z9mevjibYsLOam19fxOjfvcWgX7zGiN+8wa+en8eyzRVURVtJYl3cFb7xn7qPyR4fnH0vtOvdvO1qqRIx+OwJZ5XgVD6+HZpUa0vEHZ3pG6E8HOdxF+XawCnZ9l4dKwfW57C+HWhTcGCv7u7qOGffO4e1B19P+bfedG4R7un5aNMDjvkV3DAb2vdttt7pbCoM+PjJCUN55tojOG5YZ3w1Fy892xfw05OG8u4PJtKtbSjtSW3A56F/aTHv/2gS3z9uEF3aOMM6gj4PpxzcjVduOJKrGrFSpkg6vT5/ExGX5SIf/XjV3snW6VAdTTBjxTYm3TKZh6et2tsrHYkneW72Oo7/+/u8OGc9la2htzpQ6IznvWEOHPYdp2whOL3RY78N3/sUBp+goQluxapgziPuYss3OnXARTJMZ/tGsFBvYfWv2lQedm5PRatc1361WC4d35fb3l164OPtjnDcv2Zy/PAu3HDknxl63oMYjFMizxhnAkwrUhj0MbZPe/5+/igK/F6MMUTjSTweMrqgSsDnIeAL8J2JA/jOxAH4vR6stYRjCYpVVF9ywIZdqe+i7bGtMko96xQ12I6qKFf/Z1adCX3Sws+e+5whXUsYncZymjkrUOh8HPcb+Pr/OkM8bALiUWfRHXHPeNyXjwWo3JK5tojUUA91IxigQ5H74RSlwQS89hN46luw7F3n6jqFwoCPaycN4MSDaq/qEU9aZq7cQWFJOxLW4xyc/QWtLpneV0nIj8/rwVsznru5VicM+b2E/F68HrN3yItILqhr6Fht2hcGaMTotFpVRuLc8d7SlL3j1sKtby9Ja894zgsUgS/gHLO9ASXTjWGTztBGtwo7ZK4tIjWUUDdCcdDH+Yf2chUb9Hk4dlhX+OJ1WP4e/Ocs+O+3IZp6sY/CgI+/fWMk/754LGP26cHpVBzghmMH8fYPJtK9XYHG6IpIrU48qKvr+QMXHtYrbXMeAj6Pq7HbAO8v2YLRUtvSEP4CGHmhu9iiUuh6SGbbI4KGfDSKx2M4cmAnurcNsT5Fybazx/TArpkOu9Z+ufGL1+HNX8Lxv0s5o7sw4OP44V2YMLATAZ+HRNLi8TgX6KGAiriLSN08GE4f2f2AlV2/qneHQsr6pq8XL5m0B5T9rIu1ziJNX11lVhopmYRoOXj8QNL5A+db5RBvAEZdBO/+L0R21x97+DWQ1iXFRGqnrs1G8nkMj109jo71DP04rF8Hfnl8b4on//rAnbMfcb16lsdjKA75CPg8e4cyKJkWkVSKQz5+d8ZBjOndrs6Y0uIgj111eFor4Xg9pkGPV6TjWXrEqmHJm/DERXDrwXDbWHj5Jtg4z9Vd0RbF44NLnq9/IuewM2Dctc7iOiIZpoS6kXxeDz3aFvDW/0zkqqP67VeRY0BpEX88bSAPfnMoRU9fWPsM40QU5j7VjC0WkdaoKOjjkSsP53dnjKBfpy+Tj3aFfq6Z2J+3/udourQJpXVRl3AsyYkj3K3qOqZ3O3xaUKbpwrudRU4ePx9WfuhM2ivfCJ8/DXdNgLd+k19JtT8EXUbAdz+BsZftn1h3GwXn3Adn3aXKKdJsjE3XesxZUFZWZmfOnJntZlAVjeM1hspoHG8yhj8Zxj/rXvyf3g8Vm+r+wfHXw3G/bRXl7UQku/YsqhJNWJJJS0HAi7WWggwsugSwaONuTrr1Q1KdYu751liOHdoFT7pmRLZG0Up49DxY9VH9ccf8CsZd51QbySeRCvD6aj4HnCog/gJn4qdIGhljZllry2rbp0FrabBnFcBgMgzv/g5m3ONuOEeoDRi94UUk8/xeD36vh4Jmer5e7Qv57Wkj+M2LddcAvvLIfkwY0EnJdFNtX546mQaYehuMvy7z7WlueyqltOIqV5J9us+WTsEiGHqq67HRjLzQWT9bRCTPFAV9nDu2J09+ZxwTBu5f4mxUr3bcfclY/uf4wRRqMmLTRCrg4zvdxYZ3wtJ3M9ockdZKR7J063mos0rhjpX1x/U9EgpawWIGItJqFQV9HNa3A/++uIykteysqeYR8Hko9HvVM50OyTjsWuN8bTww8DinAka7Xs4S3Zvmw8z7YdM8J2bbkuy1VSSPKaFON48PLnoa7jseqnfUHtO2F5z3EARU0F9E8psxTpUigDYFmi+Sfgb8hdBtJJz3IFRshlkPwOZFzhjivkfBBY/BtqXwzBUQdLdar4g0jCYlZkI8AlXb4e3fwILnne/BqQU68kL42i+cMV8eXc+IiEgTJBOw9B3oPhJeuhEWv3ZgjPHA134Og0+E4q5QXNr87RTJA/VNSlRC3UCVkTjxRBKMoTDgxV/fKoWRcsA4t+OMgba9AasyPiIikj6Rcnj+Olj4Yv1xp/wNDj7PmRAvIg2mKh9pUBWJs25nNfdOWcGqbZUEfV6+PrwLZ47ugcdQe+mpPatTdR7WvI0VEZHWo3JL6mQa4P2bYdQ3M98ekVZICbULlZE41z36Ke9/sWW/7e9/sYU/vLqQf14wmiMGdtxbPk9ERKRZRCth2u3uYis2w6qpMPDYzLZJpBVSBphCdTTBVQ/PZOqybVxwaC8uHteb4qCfeDLJ0s0V/P6VBXznkVk8ftU4xvZpl9bVxprCWktlJEHSWnxeo2RfRCQfJWKwtQGVOzZ+roRaJAOUZaWwcONu2hX6+fRXx1EdTfLg1BWs3FZF0Ofh+GFdePv7E5m/bjd/fG0B/7liHEXB7CbUsUSSeNIyc+V2npm1jopIjK5tQlw2oS/d2hZQpJqvIiL5xRdoQKwWPxHJBGVX9SgPx5i9egf/d+5IfvLMXF6eu2G//S/P3UC7Qj+3f3MMfz1vFJvLI/TLYsIaiSdYs72aS++fwbqd1fvte2T6asb378i/vzWWNiGVrhIRyQuBIqd6x5K33MUPOSmz7RFppXJjfEIOO//Q3tzwxOwDkuk9dlbFuOyBGewKx/F7s7tIwfbKKGff8dEByfQe05Zv45v3fEx1LNHMLRMRkYzw+mHkBU4taoB2fYhP/AWVp99L1al3kTz0qi9rT/ceB4UdstdWkTymHup6BLweFm7YzTsLN9cbF0tYfvfSAh789qHN1LIDVYRj3PzaInaH4/XGzVu3m7cXbOLkg7vmzHhvERFpCgPnPUClDZLsPpb/frqB+Uur8Xo8HNP/MCZ97bfw+dOEhhwLfpVtFckEJdT1qI4luHfKClexn67ewc6qaNZWAjPG8NrnG13F3vPhciYNKaUkpIRaRKTFCxRR1edY/v3+Mu56+COiieTeXU/NhA5Fy/nbeSdxWEF7CtWRIpIRemfVwxjDwg27XcfPW+8+Nt3W7qje7yBan0Ubygn5vRlukYiINIeKSJx/vruMf767rNbzwPbKKFc8PIs5a3cTi7s7T4hIwyihroe1Fo9xPy7a68neGOqGPLcx0IIXyBQRkX1EYgnu/mBZvTGJpOUXz80jnlRCLZIJSqhTOKyfuwkcHgNlfdpnuDV169GugBKXFUYO7duBSFwTE0VEWrpwLMGDH60k6aKTZMXWShZvqsh8o0RaISXU9Qj6PFx1VH9XsZOGdG5Qb3a6WSznlvV0FXvtpAGUqHSeiEiLF4knmb1mp+v4GSu2Za4xIq2YEup6xBKWtgV+vj2hb71xbQv8/O6MEeysjjVPw2pRGPDx/eMG06tDQb1xxw/vwuje7ZqnUSIiknEN6cvJZsePSD5TQl0Pj8fw8Mcr+Z/jB/OD4wfXOqTikJ5tefH6CazaVkVRILsT/YqCXl787pEcObDTAfuCPg+Xju/DrReM0jLkIiJ5IuTzcGhf97Wlx/XvmMHWiLReyqzqURz0ceoh3Tnvzmn866IxXHFUP16ft5GlmysI+b2cdFBXurQJ8fLc9bw2byN3XDQmq+31ejy0Lwpw18VjqIjEeW72OnZXx+ndsZDTRnYHUDItIpJHgn4vl4zvw63vLCGRYiD1oM7F9C9VHWqRTMi57MoYcyJwK+AF7rXW3pzN9nRtE2JU73Yc97f3GVhaxA3HDebowaXEEkme+XQtd3+4nAKfl1duOCpnxiUXh/wUh/xcO2kgiaTNavURERHJrIDXw03HDeKvb35RZ4zfa/jzOYfg9+rGtEgm5FRCbYzxArcDxwNrgU+MMS9aaxdkq01FQR+/Pm04bQv8PDh1JTc8Pnu//QNKi7jr4rF0bRvKUgvrp2RaRCS/FQV9XHFkP0I+L/94+wsqo/tXcereNsQ/LhjN0G4lSqhFMsTYHCpIbIwZD/zWWntCzfc/A7DW/qm2+LKyMjtz5sxmaVtlJI618Myna1m6uYKg38Oph3RncJdi/F6PDlIiIpJVVZE4GHhl7gY+X7cLn8dw7LAujOndHq/HEPDpPCXSFMaYWdbastr25VQPNdADWLPP92uBw/cNMMZcDVwN0Lt372ZrWFHNhMRLxvUhmkjiMTo4iYhI7iisOU+dM6Ynp4/sjjEQ8GlVXJHmkGsZYW3jE/brQrfW3m2tLbPWlpWWljZTs77k8RhCfq+SaRERyUkejyHo9yqZFmlGuZYVrgV67fN9T2B9ltoiIiIiIpJSriXUnwCDjDH9jDEB4ALgxSy3SURERESkTjk1htpaGzfGXA+8gVM2735r7fwsN0tEREREpE45lVADWGtfBV7NdjtERERERNzItSEfIiIiIiItihJqEREREZEmUEItIiIiItIEObVSYkMZY7YAq7L09J2ArVl6bmk+ep3zn17j1kGvc+ug1zn/ZfM17mOtrXURlBadUGeTMWZmXctPSv7Q65z/9Bq3DnqdWwe9zvkvV19jDfkQEREREWkCJdQiIiIiIk2ghLrx7s52A6RZ6HXOf3qNWwe9zq2DXuf8l5OvscZQi4iIiIg0gXqoRURERESaQAl1AxljTjTGLDbGLDXG/DTb7ZH0MMb0Msa8Z4xZaIyZb4y5sWZ7B2PMW8aYJTWf22e7rdI0xhivMWa2Meblmu/1GucZY0w7Y8zTxphFNe/p8Xqd848x5vs1x+t5xpjHjTEhvc4tnzHmfmPMZmPMvH221fm6GmN+VpOTLTbGnJCdViuhbhBjjBe4HTgJGA5caIwZnt1WSZrEgR9Ya4cB44Dv1ry2PwXesdYOAt6p+V5athuBhft8r9c4/9wKvG6tHQqMxHm99TrnEWNMD+AGoMxaexDgBS5Ar3M+eBA48Svban1da87TFwAjan7mjppcrdkpoW6Yw4Cl1trl1too8ARwRpbbJGlgrd1grf205utynBNwD5zX96GasIeAM7PSQEkLY0xP4BTg3n026zXOI8aYNsDRwH0A1tqotXYnep3zkQ8oMMb4gEJgPXqdWzxr7QfA9q9srut1PQN4wlobsdauAJbi5GrNTgl1w/QA1uzz/dqabZJHjDF9gdHAdKCLtXYDOEk30DmLTZOm+wfwYyC5zza9xvmlP7AFeKBmaM+9xpgi9DrnFWvtOuAWYDWwAdhlrX0Tvc75qq7XNWfyMiXUDWNq2aYyKXnEGFMMPAPcZK3dne32SPoYY04FNltrZ2W7LZJRPmAMcKe1djRQiW77552aMbRnAP2A7kCRMebi7LZKsiBn8jIl1A2zFui1z/c9cW4xSR4wxvhxkulHrbXP1mzeZIzpVrO/G7A5W+2TJpsAnG6MWYkzXOsYY8wj6DXON2uBtdba6TXfP42TYOt1zi/HASustVustTHgWeAI9Drnq7pe15zJy5RQN8wnwCBjTD9jTABnIPyLWW6TpIExxuCMuVxorf3bPrteBC6t+fpS4IXmbpukh7X2Z9bantbavjjv3XettRej1zivWGs3AmuMMUNqNh0LLECvc75ZDYwzxhTWHL+PxZn7otc5P9X1ur4IXGCMCRpj+gGDgBlZaJ8WdmkoY8zJOOMwvcD91to/ZLdFkg7GmCOBD4HP+XJ87c9xxlE/BfTGOYCfZ6396mQJaWGMMZOAH1prTzXGdESvcV4xxozCmXgaAJYD38bpQNLrnEeMMf8POB+nStNs4EqgGL3OLZox5nFgEtAJ2AT8BnieOl5XY8wvgMtx/g9usta+1vytVkItIiIiItIkGvIhIiIiItIESqhFRERERJpACbWIiIiISBMooRYRERERaQIl1CIiIiIiTaCEWkQkx9Usnz08DY9TUfN5kjHm5aa3rNbnmGyMKcvEY4uI5CpfthsgIiJ7Fxcy1trkV/dZa6/MQpNERMQl9VCLiGSJMaavMWahMeYO4FPgPmPMTGPM/JpFK/bETTbGlBljvMaYB40x84wxnxtjvl+zf4Ax5nVjzCxjzIfGmKE12/sZY6YZYz4xxvz+K09fbIx52hizyBjzaE1CjzHm1zXx84wxd++zfbIx5s/GmBnGmC+MMUfVbC8wxjxhjJlrjHkSKKjZXmtbRUTykXqoRUSyawjwbWvtdcaYDtba7cYYL/COMeYQa+3cfWJHAT2stQcBGGPa1Wy/G7jGWrvEGHM4cAdwDHArcKe19mFjzHe/8ryjgRHAeuAjYAIwBfiXtfZ3NY//H+BU4KWan/FZaw+rWTH2N8BxwLVAlbX2EGPMITgXBvW1VUQk76iHWkQku1ZZaz+u+fobxphPcZZRHgF8ddz0cqC/MeY2Y8yJwG5jTDFwBPBfY8wc4N9At5r4CcDjNV//5yuPNcNau7ZmiMkcoG/N9q8ZY6YbYz7HScpH7PMzz9Z8nrVP/NHAIwA1yf+eC4AD2uribyEi0iIpoRYRya5KcIZnAD8EjrXWHgK8AoT2DbTW7gBGApOB7wL34hzHd1prR+3zMWzfH6vjeSP7fJ0AfMaYEE7v9rnW2oOBe77Shsi+8fU9Rx1tFRHJS0qoRURyQxuc5HqXMaYLcNJXA4wxnQCPtfYZ4FfAGGvtbmCFMea8mhhjjBlZ8yMfARfUfH2RizbsSZ631vR8n+viZz7Y89jGmIOAQ+pqq4vHEhFpkTSGWkQkB1hrPzPGzAbm4wyX+KiWsB7AA8aYPZ0hP6v5fBFwpzHml4AfeAL4DLgReMwYcyPwjIs27DTG3AN8DqwEPnHR9Dtr2jQXZ+jIjBRtFRHJO8bauu4GioiIiIhIKhryISIiIiLSBEqoRURERESaQAm1iIiIiEgTKKEWEREREWkCJdQiIiIiIk2ghFpEREREpAmUUIuIiIiINIESahERERGRJvj/68PVuaGxT/AAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=IT_topic.raisedhands, y=IT_topic.Discussion, hue=IT_topic.gender, s=150);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2gWgxoA5RUNOZYYiqrFGeo0r7fupn/br2c4/pyn83Vz23dOvxT12lnvXdumXFkqof8pnItlFJWrNthC1J12CWzW9r1PoVS7Rj/cyutSxeU7RtIFoMqEMU1HRmGKIqa5TnaLp9z26u19JXz9G8tkYtaGvS3NbGQMrR2tSgdd2Vj3kNqxUGIknXYNY1NeQ0t3Vm11oWrynaNhAt0ub55DdhfqntB/Mj2rRjv7bt7tNgYURtxTsLq7s6AktpFNRiBscGCuo9eEK//Ipm1deZRsacDr90Up3FgWUpQSwqcHSgoM01Pkdx2/eL/Xlt3rFf9xTzx7Y11uvqzoVa3dWRygcEoxRl+0J4XuzPa1PPfm3fc/qaWrV0odZ0p/eamknbZiEYwJtKafMYUPvgN2F+pe3bmsZXqBt1TjkLtgMLcjGDI/15bZzyC6m1OMhb21X6u4JcVGCyk6/BOYrjvo8PFPT4wRN65ZT/vLzw0kld9uo5mssgL3BRti+EZyg/oqFTI5M3F1pm1afqznQpfto2C8EA3jGgDoDfhPlRJdgPcjEDv9/FogIzx7kDEDb6HcAfFnapkt+E+VEl2A9yMYP+k6c8fdfAyWFJLCpQDc4dgLDR7wDBYkDtgd+E+VEl2A9yMYOTw2OevutksbNlUYGZ49wBCBv9DhAsBtQe+E2YH1WC/SAXM3A+v4tFBWaOcwcgbPQ7QLAYUHvgN2F+VAn2g1zMwHx+F4sKzBznDkDY6HeAYDGg9sBvwvyoEuwHuZhBc0Odp+9qLj45zqICM8e5AxA2+h0gWAyoPfCbMD+qBPtBLmYwu3mWp+9qax7Pbc2iAjPHuQMQNvodIFikzfPBb8L8KBcICWoxA7/fxYIZM8e5AxA2+h3AO/JQB8jvYhBRLR4R5GIGAyeHdXL49KqLzQ25yTvTpbBgxsxx7gCEjX4H8KbSgJrgKJ+aGnK+Ohq/2welpSm41cDamhsqDqDPFtUxpwHnDkDY6HeA6hFDDQAAAFSBO9QI3OT04ZhTro7pQwAAkG4MqBGoYwMFbezZp7t7xx9ibC0+4LK2q0PzeMAFAACkEANqBObYQEErN+1S34mTk68NFka0decBPbT3sO5beyVPjQMAgNQhhhqByA+PatOO/WcMpqfqO3FSW3bsV354NOSSzUx+eFTHBws60p/X8cFCYsoNAADCxx1qBGKoMKJtu/sqbrNtd5/Wdsd/oQDCVgAAgB8MqBGI0TGnwcJIxW0GinlO44ywFQAA4BchHwhErs7U2lj5/2dtjfXKmYVUIv/SFrYCAADCwYAagWgphkVUcs2l7WqZZtAdJa9hK0PT3IkHAADZwoAagWhqyGltV4fa5zSXfL99TrNWd8U7fjotYSsAACBcDKgRmHltjbpv7ZW6cfniyfCPtsZ63bR8cSJij9MQtjJTZDUBAP/oOzEhvvPvSKT5bY1av2KJ1nV3aNQ55Sw5KyVOhK1s3Xmg7DZxD1uZCbKaAIB/9J2YylyCp687Oztdb29v1MVAipTK8jGhfU5zIu60+5G14wWAINB3ZpOZ7XHOdZZ6j5CPjGF6qrKwwlbiUA9kNcmeOLQ7IOnoO1FKuuauURHTU97UOmwlLvWQpsV4ML24tDsg6eg7UQoD6oxgwRJ/mhpyNekI41QPZDXJjji1OyDp6DtRCiEfGcD0VDzErR6ynNUkS+LW7oCko+9EKQyoM4AFS+IhbvWQhsV4ML24tTsg6eg7UQoD6gxgeioe4lYPaViMB9OLW7sDko6+E6UwoM6ApE5PlctIkNRMBXGoh7PPXVtTfaIX48H04tDugLRJ+kJmCB7zERmQxAVLSmUk+NhVr9F73/wqbd6xP5GZCqKuh3JZHtZ1dSR2MR5ML+p2B6RVkhcyQ/BCv0NtZu1m9oiZ/cjMnjKzjxVfn2Nm3zCzZ4t/nx922dIqadNTExkJbt91cHKquj5nWv6aeXr/5kfPeH0iU8HKTbt0dKAQZbGnFWU9lDqnE+fufZt2aSA/ormtjVrQ1qS5rY2xaQuoXtKufyBJmhpy9J2QFE3Ix4ikP3LOvVbSWyV9xMxeJ+kTkh52zr1G0sPFnxGQaqanggqx8PI95TISXL20Xf/82HOBZiqIInQkimlCsjyA6WnEUZB98GB+WEf68zr8Ul5H+vMazA8HWFJgepEvPW5m90v6h+KfbufcC2b2Skk9zrkllT7L0uP+5YdHNVR8AMnL9FRQi0F4/Z7jgwV1beg55yGqr6xbpt/d+njFh6vaGuvVs75bc1unL1fUi1z4rYdqlDunU/k5d0iuMNsdUEmQffCR/rw++8g+3fvE85PftWrpQq3r7tCC2U01OgJkUaWlxyMNmjOzRZIukfSYpAuccy9IUnFQvaDMZ26WdLMkXXTRRSGVND38LFgS1GIQfr6nXEaChlxdYJkK4rDIRa0WjimFLA+YEGa7A8oJsg8+0p/X+zc/es533fHoQT389IvavmaZLmBQjRBEluXDzFol3Svp4865fq+fc87d5pzrdM51zp8/v3YFzLigwgT8fk+5jATDo2OBZCrIYvgDWR4AxEWQffBgflgbeyp/1+ae/RrKk2MdtRfJgNrMGjQ+mP6ic+6+4ssvFkM9VPz7SBRlw7igFoPw+z3lEuZ/7cnDWnnJhRW/x0umgiwucsEiBADiIsg++OVTo9q+51DFbbbvOaShU+npzxFfUWT5MElbJf3IOfc3U956QNL1xX9fL+n+sMuG04IKE/D7PeUyEtyzp0+/fflFVWcqyGL4A1keAMRFkH3wmJOn7xpLT3eOGIviDvWVkn5X0tvN7HvFP++S9GlJ7zCzZyW9o/gzIlJNmMDUJ7cl6SO/3qFXnNfg+XtKZSQYHXXa9ewxbV+zrKpMBXEPf6hV5pE4Z3lI6kI9QNSSeO0E2QfXmTx9Vx3RbAhB6HO8zrmdkso176vCLAvKm+liEKWe3F61dKG+9OG36pZ7vq+nfnZuuHyp76mUML+aRPpxXuSi1plH4rgIQdTZVoCkSuq1E2QffN6snFYtXag7Hj1YdptVSxeqZRbhbKi9yNPmVYO0ebVV6knsCe1zms+5sznd9luuW6prP/eYXjo5XPF7as3vcWW1TLWWxWMGgpD0ayfI8pfK8jH1u8jygSBVSpsXWZYPlBanKTw/YQITT24P5Ef04V+7WF9Zt0xf/ehyfWXdMn341y7WQH5E9/Qe0u9cflHF74nbcYUhi5lHsnjMQBC8XjsnhuLxe6SUIPvgBbObtH3NMn1o2aIzvuuGZYsYTCNU3KGOkbhO4XlZDOL4YEFrvrBHf/HeN+iLjz2nf/nu6QT7Ky+5UL99+UX68/t/qH/47bdIpliEG8RlkYssLrySxWMGguD12rnrpsv1vs/uis3vkVKC7IOH8iMaOjX+AGKdSS2z6tXSRKgHghXbhV1wWhwWGynHy2IQY87pL977Bt18V+85x3DXd36qnh8f0ZbrlspMmt8WjzsGcVnkIouZR7J4zEAQvF479cUn8eLye6SUIPvgliYG0IgWIR8+1SIkIw3T37k60z8/9lzFY/jy7j7leNz6HHHPPFILWTzmOIhTSBlmxuu1Mzw6dsZrSfg9AiQZA2ofjg0U9JmvP62uDT267NaH1bWhRxsefEbHBgpVfW8aFhsZHZO+8t3nK27zlSee19hYxU0yKYsLr2TxmKNWq/4L4fJy7ax8y4X61ydfOOf1uP8eAZKMAbVHEyEZt+86ODndNjGVtnLTLh2t4pdSGqa/nfN2DGOK7zFEJYsLr2TxmKNUy/4L4fJy7Xzw0nbd03vuCoJx/z0CJBkDag9qHZIx3RTeK85r0H/89Q7JKZKpWi/TxHGYwh/MD+tIf16HX8rrSH9eg/nh6T8UE3HLPBKGLB5zFNIQUpYVXkNyyl07v3fFq7XluqVav/0HZ6QnnUAYVboQwhUvZPnwoNYZCfLDo9rw4DMlE92//lWz9ddXv0lffvw53fvE86Fn//CaeaTSMUy4afli3bJiSU3uOh7pz+uzj+w74xytWrpQ67o7tCBBaZPiknkkTFk85jCRUSUZZpLlaeq1UyfT7p+e0CfufbLkYFqqbR+McMU1K1jakeWjSrUOyZiYwnto7+Ez7iK94rwG/fXVbyqZOSOMp7b9ZB4pdwwTajmFXyqx/2BhRHc8elAPP/1ionKRxiXzSJiyeMxhSkNIWdrNNMvT2dfOpa+eo9nN9SUH1IRRpUecs4JlGSEfHoQRzlBqCu+6yy/Stt19kUzVzmSaOOgpfC/TWYP5YW3sqVzOzT37NZTnQRzER5hTtXEIx0J5QYbkEEaVfoRwxRd3qD2YeKq6UjhDEBkJ5rc1av2KJVrX3TF+t8hJb/+fOyp+ZtvuPq3tDv6ug9fMI2fvu05S56vP139406tUX2caGXN64aWTvv/n5nU66+VTo9q+59yHb6bavueQ1nZ3kKMUsRD2VG1Y/RdmZqZ9bTln/x4hjCpdgm4vCA49qAdhhjNMncI70p+PbKp2JtPEpaahJrTPafZ8h8TPdNaYk7fsIsxmIwaimKqNMhwL06tFSA5hVOlFCFd8EfLh0XRTabOb6gOfwvU6VVuL7B9+p4mDmoby+z11Jk/lLLWeDE9II0xRTtUSChAvU/seyVsfRkgOJEK44ow71D6Um0obyo/of3z96cCncL1M1a5aulB3PHpQG3v2Bzp17HeaOKhpKL/fc96s3OQ5KGfV0oVqmXVmU+cJaYQt6qlaQgHi4ey+5yO/3jFtH0ZIDiYQwhVf3KH2qakhp7mtjVrQ1qS5rY0azI/ofTVaMMFLAv+rOxfqi489F+h+ve576jRxUNNQfr+ntalB67orl3PNWfHTLHKBKMRhqvbs/ovBdLhK9T1ffOw5XXNpO4scwRMWxYovBtRVCGMKt9xU7Q3LFpVN4B/U1LGfaeKgpqFmEmqyc98x3b36Cn1o2aJzztHdq6/QrmePTZ4LnpBGVJiqzbZyfc8vXh7WLfd8X1uuW3pOH0ZIDkohhCuemBOoQlhTuGdnzpjTMktf+M5Pde3nHiubwD+oqWOv08RBTUPNJNTkz+5/Suef16BPvfu1uvltF09u94NDv9AHNn9bv3h5WF1L5qupIRf5tDuyi6nabKvU9zz1s35d+7nHdN3lF+nf/qhLMhGSg4oI4Yofeu4qhDGFWyorwFc/ulwbe/bXdL9TeXliPKhMAn6/Z6IOBgsjWvOFJ8p+78S5iMO0O7KJbBvZNl3f89LJYX22Z7+uv3KRFrQlYyEqRItsLvFCyEcVaj2FW26KcHh0LJZTx0FNQ9Uy1IRpd0SJqdrsou8B0o071FWYmMK994lDunppu971q7+shlydhkfH9LUnD+uePX1a9ZaFM57CnZgifPXc8/Snv/la/erCX5I0nirun2+6XB/98nf10+Mvl/xsVFPHQU1D1SrUpFbT7vnhUQ0VRjQ65pSrY+oN5UU5VUs7jQ4hP7WVlLadlHLCP3MJntru7Ox0vb29kZbh50OndGSgoLu+81P9y3efn0zBtvKSC3XdW1+tBW2NOr9l1oy++0h/Xn/5r3v1p+96rTb17Ne9T5z+/lVLF2pNV4du/dpePfD9F874nJ9FVNLA74IyQS1AM/X7SMGHuKOdRi/ovgfjktK2k1JOlGdme5xznSXfY0BdnVp2kD8fLKgwOqart3y77Pffs/oKXf+Pu/XM4QG1FS/O1V0dmeuUjw4UtHnHfm3b3afBwsi058Lv9uXwCxJJQDuNj6D6HoxLSttOSjlRGQPqGskPj2rDg89UnMK7afli3bJiyYymdPpPntLffOPZign/b1i2SH/wG/9Ow6Pxf8q31lNdk9/vcRrd7/alPl/L+geCEJd2ylT3adX2PRgXl7Y9naSUE9OrNKAmWKsKtU7Blh8e0/Y9hypus33PIa3t7tCC2fF+KjyMqS6/TzxX+4Q0KfiQBHFop0x1n4nsDMGIQ9v2IinlRHUYUFeh1inYxpw8ff9YzCcZSk11TaxM+NDew4md6iIFH5Ig6naa1usf0Yu6bXuVlHKiOqTNq4LXNEhy4w8YHh8s+FqBr87k6fvrIsqylB8e1fHBQsVjS/PKhKTBQhJE2U7TfP0jeknpg5NSTlSHAXUVJtIgVbJq6ULd8ehBXXbrw+ra0KMNDz6jYwMFT99/3qycVi1dOO33t8wKf6Lh2EBBn/n60+ra0FPx2LxOdQ1N87/3OPJS/6TBQtSibKdpvv4RvaT0wUkpJ6rDgLoKEyuftc9pLvl++5xmXd25UF987DlJp6c5V27apaMeBtWtTQ1a1135+9d0d6ilKdyLcGIK9/ZdByenscodW5qnurzUPyvfIWpRttM0X/+IXlL64KSUE9VhQF2lciuf3bBskbZct1Trt/9AL50cPuMzfqY5F8xu0vY1y/ShZYvO+f7ta5bpgpAfRvQ7hZv2qS5WvkMSRNVO0379x5WXcLy0SEofnJRyYuZImxeQqWmQ5KQ7Hj2oLz723DmD6QltjfXqWd+tua3eLqKh/IiGTo0/gFhnUsus+tDvTEvS8cGCujb0VLzrNPXYspIuiDRYSIKw22lWrv84yWpGlaT0wUkpJ0ojbV4IpqZBOtKf18ae/RW39zvN2dIUzQD6bH6ncCemuh7ae7hsQvs0THWRBgtJEHY7zcr1HxdZzqiSlD44KeWEf4R81ECapzlncmxZmOrK0hQr4EcWrv84IKMKEK3ob3mm0MQTvZWmOZP6RO9Mj21+W6PWr1iidd0dqZvqyuoUK+BVmq//uGDxECBa3KGugTQ/0VvNsTU15DS3tVEL2po0t7Uxkcd/Nj8ZT4AsS+P1HydkVAGixYC6RoKe5oxTSAFTuOOYYgUQF2kONQSSgCwfNRbEE71xDSnI+tPKfjOeAECtkFEFqD2yfESo2id64/zUdtafVmaKFUBckFEFiBYhHz6FGXpBSIE/YYfFMMUKIE4IxwOiwx1qH8IOveCpbe+iCItJczYXAMlERhUgGvym9yiK0AtCCryJKiyGKVYAcZT1cDwgCoR8eDARelFnpi3XLdWjn3j75J8t1y0df70GoReEFEwv6rAYplgBAAB3qD0YKoxoID+sbTe/VZt69uuP7vn+ZFjBqqULte3mt+r//caPNVQYCfSuACEF04tDWAxTrAAAZFt2R2I+OOf0n97xf+nqLd8+J6zgjkcP6uGnX9Tdq69Q0CkICSmYXlzCYphiBQAguwj58CBXZ9q84ycVwwpu2/ET5XLBh14QUlAZYTEAcKY4LQQGZAV3qD0YHnXavudQxW227zmktd0dNdk/IQXlERYDAKfFdSEwIO0YZXgw5uQprGCshlEFhBSURlgMAIyL80JgQNoR8uFBnclTWEEdUQWRICwGQNZFnfEIyDruUHvQkDOtWrpQdzx6sOw2q5YuVEM9I+qoEBYDIMvikPEIyDLuUHswOua0putitc9pLvl++5xm3dx1sUZHs73AStSaGnKa29qoBW1NmtvayC8NAJkRl4xHQFYxoPbAzPQ33/ix7l59hT60bNEZYQU3LFuku1dfob956McyMkkAACJAxiMgWoR8eNDSWK+2pgZ9YPO39al3v1Y3v+3iyfd+cOgX+sDmb2vF63+ZTBIAgEiQ8QiIVuyuLDN7p6S/k5ST9Hnn3KcjLtIZmSTWfOGJc94nkwQAIEpkPAKiFauQDzPLSfqspN+U9DpJ15rZ66It1TgySQAA4ozfU0B0LOjlsqthZldI+q/OuRXFnz8pSc65/15q+87OTtfb2xtiCcdTEw0VH+wgkwQAIG74PQXUhpntcc51lnovbiEfF0qamvfnkKTLp25gZjdLulmSLrroovBKVsQCKwCAOOP3FBC+WIV8SCr1+PEZt9Cdc7c55zqdc53z588PqVgAAABAaXEbUB+S1D7l54WSfhZRWQAAAIBpxW1AvVvSa8xssZnNkvRBSQ9EXCYAAACgrFjFUDvnRszsP0p6UONp8253zj0VcbEAAACAsmI1oJYk59zXJH0t6nIAAAAAXsQt5AMAAABIFAbUAAAAQBUYUAMAAABViNVKiX6Z2VFJP41o9/MkHYto3wgP9Zx+1HE2UM/ZQD2nX5R1/GrnXMlFUBI9oI6SmfWWW34S6UE9px91nA3UczZQz+kX1zom5AMAAACoAgNqAAAAoAoMqGfutqgLgFBQz+lHHWcD9ZwN1HP6xbKOiaEGAAAAqsAdagAAAKAKDKh9MrN3mtkzZrbPzD4RdXkQDDNrN7NHzOxHZvaUmX2s+PocM/uGmT1b/Pv8qMuK6phZzsy+a2ZfLf5MHaeMmb3CzLab2dPFa/oK6jl9zOwPi/31D83sS2bWRD0nn5ndbmZHzOyHU14rW69m9snimOwZM1sRTakZUPtiZjlJn5X0m5JeJ+laM3tdtKVCQEYk/ZFz7rWS3irpI8W6/YSkh51zr5H0cPFnJNvHJP1oys/Ucfr8naSvO+d+RdKbNF7f1HOKmNmFkv5AUqdz7g2ScpI+KOo5De6Q9M6zXitZr8Xf0x+U9PriZzYWx2qhY0Dtz2WS9jnnfuKcOyXpy5LeG3GZEADn3AvOuSeK/x7Q+C/gCzVev3cWN7tT0vsiKSACYWYLJb1b0uenvEwdp4iZzZb0NklbJck5d8o59wtRz2lUL6nZzOolnSfpZ6KeE885901JJ856uVy9vlfSl51zBefcAUn7ND5WCx0Dan8ulNQ35edDxdeQIma2SNIlkh6TdIFz7gVpfNAtaUGERUP1/lbSH0sam/IadZwuF0s6Kukfi6E9nzezFlHPqeKce17SX0t6TtILkl5yzj0k6jmtytVrbMZlDKj9sRKvkSYlRcysVdK9kj7unOuPujwIjpm9R9IR59yeqMuCmqqX9BZJm5xzl0gaEtP+qVOMoX2vpMWSXiWpxcyui7ZUiEBsxmUMqP05JKl9ys8LNT7FhBQwswaND6a/6Jy7r/jyi2b2yuL7r5R0JKryoWpXSvotMzuo8XCtt5vZF0Qdp80hSYecc48Vf96u8QE29ZwuvyHpgHPuqHNuWNJ9kpaJek6rcvUam3EZA2p/dkt6jZktNrNZGg+EfyDiMiEAZmYaj7n8kXPub6a89YCk64v/vl7S/WGXDcFwzn3SObfQObdI49fuvznnrhN1nCrOucOS+sxsSfGlqyTtFfWcNs9JequZnVfsv6/S+LMv1HM6lavXByR90MwazWyxpNdIejyC8rGwi19m9i6Nx2HmJN3unPuraEuEIJjZcknfkvSkTsfX/qnG46jvlnSRxjvwq51zZz8sgYQxs25Jtzjn3mNmc0Udp4qZvVnjD57OkvQTSTdo/AYS9ZwiZvb/SLpG41mavivpJkmtop4Tzcy+JKlb0jxJL0r6c0n/ojL1amafkvT7Gm8HH3fO/X/hl5oBNQAAAFAVQj4AAACAKjCgBgAAAKrAgBoAAACoAgNqAAAAoAoMqAEAAIAqMKAGgJgrLp/9ugC+Z7D4d7eZfbX6kpXcR4+ZddbiuwEgruqjLgAAYHJxIXPOjZ39nnPupgiKBADwiDvUABARM1tkZj8ys42SnpC01cx6zeyp4qIVE9v1mFmnmeXM7A4z+6GZPWlmf1h8v8PMvm5me8zsW2b2K8XXF5vZt81st5n9t7N232pm283saTP7YnFALzP7s+L2PzSz26a83mNm/8PMHjezH5vZrxVfbzazL5vZD8xsm6Tm4uslywoAacQdagCI1hJJNzjn1pnZHOfcCTPLSXrYzN7onPvBlG3fLOlC59wbJMnMXlF8/TZJa5xzz5rZ5ZI2Snq7pL+TtMk5909m9pGz9nuJpNdL+pmkXZKulLRT0j845/6i+P13SXqPpP9d/Ey9c+6y4oqxfy7pNyStlfSyc+6NZvZGjf/HoFJZASB1uEMNANH6qXPuO8V/f8DMntD4Msqvl3R23PRPJF1sZn9vZu+U1G9mrZKWSbrHzL4naYukVxa3v1LSl4r/vuus73rcOXeoGGLyPUmLiq//upk9ZmZPanxQ/vopn7mv+PeeKdu/TdIXJKk4+J/4D8A5ZfVwLgAgkRhQA0C0hqTx8AxJt0i6yjn3Rkn/Kqlp6obOuZ9LepOkHkkfkfR5jffjv3DOvXnKn9dO/ViZ/Ram/HtUUr2ZNWn87vYq59yvSvrcWWUoTN2+0j7KlBUAUokBNQDEw2yND65fMrMLJP3m2RuY2TxJdc65eyX9F0lvcc71SzpgZlcXtzEze1PxI7skfbD479/xUIaJwfOx4p3vVR4+882J7zazN0h6Y7myevguAEgkYqgBIAacc983s+9Kekrj4RK7Smx2oaR/NLOJmyGfLP79O5I2mdl/ltQg6cuSvi/pY5L+2cw+JuleD2X4hZl9TtKTkg5K2u2h6JuKZfqBxkNHHp+mrACQOuZcudlAAAAAANMh5AMAAACoAgNqAAAAoAoMqAEAAIAqMKAGAAAAqsCAGgAAAKgCA2oAAACgCgyoAQAAgCowoAYAAACq8P8DrFuSUIr8qjUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#kuwait student interest discussion wise and raised hand wise in  chemistry\n",
    "topicHistory=stntKuwait[stntKuwait['Topic']=='Chemistry']\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=stntKuwait.raisedhands, y=stntKuwait.Discussion, hue=topicHistory.gender, s=100);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#kuwait student interest discussion wise and raised hand wise in  Geology\n",
    "topicGeology=stntKuwait[stntKuwait['Topic']=='Geology']\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=stntKuwait.raisedhands, y=stntKuwait.Discussion, hue=topicGeology.gender, s=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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03x2P+RaIVxkzEeYuqm13FAHn/D2M3mfg69KAcU6zJEnDRASMiPJ+LXX0GXYiYPxvwMd+BvdcDvddDVs3wRveAm/7Qxj3Ohc4GeIMzZIkDRPtI1s556gp/L8Hfr3bfsf+pot07NSIlto0jbd8Ema/H0hoGwujfFvGcOD0DEmShpHOaROYum/7Ls+ffvjrGDuyZQArGoRaWmFcRy1AG5iHDUOzJEnDyISxI7n6o2/hN/d/9VSCkw/dn7885wj2GTOyAZVJzc3pGZIkDTMHjG/nqvlv5qm1G7ntkWcY2TqCd86cxF7tbexrYJZ2ytAsSdIwNHHcKCaOG8WRU8c3uhRpUHB6hiRJklTC0CxJkiSVMDRLkiRJJZzTLEmSpOaweV1t0RgCogXG7Nvoil5iaJYkSVJjdW+EdSvh1r+Ch26Eni211Rbf/nmYdFhTLFFeV2iOiA7g94Fpva/JzAtKrhsPfAM4HEjgAuBh4KriXo8D78vM5/a0cEmSJA0BPd2w8l5Y+J5aWN7u8dvgW6fDO/8C5syD0Xs3rkbqn9O8GNgH+Gfgpl4/Zb4KfD8zDwFmAQ8ClwBLMnMGsKQ4liRJ0nC06Xm4+gOvDMy9/fBPa30arN7pGWMy8zN7cuOI2Bs4HvgQQGZuAbZExFnAiUW3hcCPgD26tyRJkoaIrodg/erd91n6zdpUjZbGzSyu90nzjRHxrj2894FAF/CtiLg7Ir4REWOBSZm5EqDY7r+H95UkSdJQ0fVwHX0eKr4g2Dj1huaLqAXnTRGxrvh5oeSaVmAO8LXMPAp4kT2YihER8yNiaUQs7erqqvcySZIkDSZ7H1DeZ6/J0NLYJd7rCs2ZuVdmjsjM0cX+XplZNht7BbAiM+8ojq+hFqJXRcRkgGK70+fxmbkgMzszs7Ojo6O+P40kSZIGl6mdMHLc7vu86aPQOghCM0BEnBkRXy5+zijrn5m/Bp6MiIOLppOBXwA3APOKtnnUvmQoSZKk4WjkOHjX3+z6/Ky5MK7xs3nrfeXcpcAbgcuLposi4q2ZWTbd4pPA5RExEvgl8GFqQf3qiPgI8ARw3muqXJIkSYNfWzsc8m743Wvg5i/A6l/U2vd6HRx7Icz+D9De+EVOIjPLO0XcB8zOzG3FcQtwd2YeWXF9AHR2dubSpUsH4qMkSZLUKC8+U3tvc26D1lEwevyAvzEjIpZlZueO7XtSxXjg2WK/8cuySJIkaWgZu1+jK9ilekPzXwN3R8StQFB7//JnK6tKkiRJaiJ1hebMXBQRP6I2rzmAzxRf9JMkSZKGvN2+PSMiDim2c4DJ1F4j9yRwQNEmSZIkDXllT5r/EJgP/LednEvgpH6vSJIkSWoyuw3NmTm/2L59YMqRJEmSmk9di5tExHkRsVex/6cRcV1EHFVtaZIkSVJzqHdFwD/LzHUR8VbgVGAh8PXqypIkSZKaR72huafYvhv4WmYuBhq7ALgkSZI0QOoNzU9FxN8D7wP+b0SM2oNrJUmSpEGt3uD7PuAHwGmZuRaYAPxxVUVJkiRJzaTeFQEnAzdl5uaIOBE4Evg/VRUlSZIkNZN6nzRfC/RExG8ClwHTgSsqq0qSJElqIvWG5m2ZuRU4F/hKZn6K2tNnSZIkacirNzR3R8Rc4IPAjUVbWzUlSZIkSc2l3tD8YeAtwF9m5mMRMR34dnVlSZIkSc2jri8CZuYvgAt7HT8GXFpVUZIkSVIzqSs0R8RjQO7YnpkH9ntFkiRJUpOp95Vznb32RwPnUXtXsyRJkjTk1TWnOTPX9Pp5KjO/ApxUbWmSJElSc6h3esacXocjqD153quSiiRJkqQmU+/0jP/Wa38r8Bi1pbUlSZKkIa/et2e8vepCJEmSpGZV15zmiPiriBjf63jfiPiLyqqSJEmSmki9i5ucnplrtx9k5nPAuyqpSJIkSWoy9YbmlogYtf0gItqBUbvpL0mSJA0Z9X4R8NvAkoj4FrVFTi4AFlZWlSRJktRE6v0i4H+NiPuAdwABfCkzf1BpZZIkSVKTqPc9zWOBH2bm9yPiYODgiGjLzO6S6x4H1gE9wNbM7IyICcBVwDTgceB9xRxpSZIkqSnVO6f5J8DoiJgC/DPwYeAf67z27Zk5OzO3L8V9CbAkM2cAS4pjSZIkqWnVG5ojMzcA5wJ/m5nnADNf42eexcvzoRcCZ7/G+0iSJEkDou7QHBFvAX4XuKloq2dqRwI/jIhlETG/aJuUmSsBiu3+u/jA+RGxNCKWdnV11VmmJEmS1P/qfXvGxcBngeszc3lEHAjcWsd1x2Xm0xGxP3BzRDxUb2GZuQBYANDZ2Zn1XidJkiT1t3rfnvFj4Me9jn8JXFjHdU8X29URcT1wDLAqIiZn5sqImAysfk2VS5IkSQNkt6E5Ir6SmRdHxPeoTbV4hcw8czfXjgVGZOa6Yv+dwBeBG4B5wKXFdnEf6pckSZIqV/ak+Z+K7Zdfw70nAddHxPbPuaJ4Zd3Pgasj4iPAE8B5r+HekiRJ0oDZbWjOzGXF9scR0VHs1/WtvGIKx6ydtK8BTt7zUiVJkqTG2O3bM6LmP0XEM8BDwL9FRFdEfGFgypMkSZIar+yVcxcDxwFvzMyJmbkv8CbguIj4VNXFSZIkSc2gLDR/EJibmY9tbyimXby/OCdJkiQNeWWhuS0zn9mxsZjX3FZNSZIkSVJzKQvNW17jOUmSJGnIKHvl3KyIeGEn7QGMrqAeSZIkqemUvXKuZaAKkSRJkppV2fQMSZIkadgzNEuSJEklDM2SJElSCUOzJEmSVMLQLEmSJJUwNEuSJEklDM2SJElSCUOzJEmSVMLQLEmSJJUwNEuSJEklDM2SJElSCUOzJEmSVMLQLEmSJJUwNEuSJEklDM2SJElSCUOzJEmSVMLQLEmSJJUwNEuSJEklWhtdQLNat6mb7p5kdNsIxox0mCRJkoYz0+AOnntxCw/9+gW+cdtjPLt+Cwd1jGX+CQcxae/R7NPe1ujyJEmS1ACVh+aIaAGWAk9l5hkRMQG4CpgGPA68LzOfq7qOejz34hY+fsVd3P7ompfa7n5yLdfc9RQff/tBzH/bQewzxuAsSZI03AzEnOaLgAd7HV8CLMnMGcCS4rjhNnX3sOAnj74iMPf2v259lOVPPz/AVUmSJKkZVBqaI2Iq8G7gG72azwIWFvsLgbOrrKFeL27eyrd/9sRu+3x1ySM89+KWAapIkiRJzaLqJ81fAf4E2NarbVJmrgQotvtXXENdNnVvY93mrbvtc++KtfRkDlBFkiRJahaVheaIOANYnZnLXuP18yNiaUQs7erq6ufqXq1lRJT28S0akiRJw1OVT5qPA86MiMeBK4GTIuLbwKqImAxQbFfv7OLMXJCZnZnZ2dHRUWGZNW2twaGT99ptn7NmHcDYUQZnSZKk4aay0JyZn83MqZk5DTgfuCUz3w/cAMwrus0DFldVw56YOHYUf3bGTGIXD5z3Ht3KR084iPa2loEtTJIkSQ3XiBUBLwVOiYhHgFOK46Zw5JTx/MMHOunYa9Qr2n9r0jiu/dixTBw3skGVSZIkqZEiB8EX2zo7O3Pp0qUD8lndPdt4YWM3K57byDPrN/MbE8cwYexIJowdVX6xJEmSBrWIWJaZnTu2O0F3B20tI5g4bhQTxxmSJUmSVNOI6RmSJEnSoGJoliRJkkoYmiVJkqQShmZJkiSphKFZkiRJKmFoliRJkkoYmiVJkqQShmZJkiSphKFZkiRJKmFoliRJkkq4jLaaT083bHq+tj9qb2gd2dh6JEnSsGdoVvPo6YaNz8LdV8CDiyG3wYx3QucFMGYitI5qdIWSJGmYMjSrOfT0wJpH4JunvfyUGWDlvfDTv4MP3gCTZ/vUWZIkNYRzmtUcNj0H/3TOKwPzdt0b4dvnwuYXBr4uSZIkDM1qFquWw7pf7/r85nXw7/88cPVIkiT1YmhWc/jV7eV9HvsJbOupvhZJkqQdGJrVHNrHl/cZvQ+Ef2UlSdLAM4GoORz6HojYfZ+jP1TeR5IkqQKGZjWHkeNg9vt3fX7GqTC2Y+DqkSRJ6sXQrObQPh5O+RIceyG0tb/c3jISjvognPM1GDOhYeVJkqThzfc0q3mM2RdO/CwcdyGsebS2uMnE34S2MTBqXKOrkyRJw5ihWc1l5Jjaj1MxJElSE3F6hiRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklSistAcEaMj4s6IuDcilkfEfy7aJ0TEzRHxSLHdt6oaJEmSpP5Q5ZPmzcBJmTkLmA2cFhFvBi4BlmTmDGBJcSxJkiQ1rcpCc9asLw7bip8EzgIWFu0LgbOrqkGSJEnqD5XOaY6Iloi4B1gN3JyZdwCTMnMlQLHdfxfXzo+IpRGxtKurq8oyJUmSpN2qNDRnZk9mzgamAsdExOF7cO2CzOzMzM6ODleHkyRJUuMMyNszMnMt8CPgNGBVREwGKLarB6IGSZIk6bWq8u0ZHRExvthvB94BPATcAMwrus0DFldVgyRJktQfWiu892RgYUS0UAvnV2fmjRHxU+DqiPgI8ARwXoU1SJIkSX1WWWjOzPuAo3bSvgY4uarPlSRJkvqbKwJKkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVqCw0R8TrI+LWiHgwIpZHxEVF+4SIuDkiHim2+1ZVgyRJktQfqnzSvBX4o8w8FHgz8PGImAlcAizJzBnAkuJYkiRJalqVhebMXJmZdxX764AHgSnAWcDCottC4OyqapAkSZL6w4DMaY6IacBRwB3ApMxcCbVgDey/i2vmR8TSiFja1dU1EGVKkiRJO1V5aI6IccC1wMWZ+UK912XmgszszMzOjo6O6gqUJEmSSlQamiOijVpgvjwzryuaV0XE5OL8ZGB1lTVIkiRJfVXl2zMCuAx4MDP/e69TNwDziv15wOKqapAkSZL6Q2uF9z4O+ABwf0TcU7R9DrgUuDoiPgI8AZxXYQ2SJElSn1UWmjPzNiB2cfrkqj5XkiRJ6m+uCChJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNu7FtWza6BEmSJDWB1kYX0Gye39jN+s1buWbZk6xcu4nDp+zDaYe9jrGjWmkf2dLo8iRJktQAhuZe1m7Ywt/e8u9cdttjLzf+/Em++L1f8JXzZ3PCb3UwdpRDJkmSNNw4PaOwtWcb37v36VcG5sKWnm184oq7WPHchgZUJkmSpEYzNBee39jN393677s8vy3hf9z8b6zb2D2AVUmSJKkZGJoLm7duY9ULm3fb518eeYbNPdsGqCJJkiQ1C0PzHoiIRpcgSZKkBjA0F0a1jmDK+Pbd9nn7IR2MbnXIJEmShhsTYGH8mDYufseMXZ5vHRF86h2/xbjRbQNYlSRJkpqBobnQMmIE75z5Oi5+xwxaRrxyGsbYkS18Y14nr9tndIOqkyRJUiP50uFe9hnTxu+9dTr/4Zg38P3lv2bl85s4bPLevOWgiYwb1cqoNhc3kSRJGo4MzTsYN7qNcaPb+OBbpjW6FEmSJDUJp2dIkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJSoLzRHxzYhYHREP9GqbEBE3R8QjxXbfqj5fkiRJ6i9VPmn+R+C0HdouAZZk5gxgSXEsSZIkNbXKQnNm/gR4dofms4CFxf5C4OyqPl+SJEnqLwM9p3lSZq4EKLb7D/DnS5IkSXusaVcEjIj5wPzicH1EPNyAMvYDnmnA5w4Hjm11HNvqOLbVcWyr49hWx7GtTiPH9jd21jjQoXlVREzOzJURMRlYvauOmbkAWDBwpb1aRCzNzM5G1jBUObbVcWyr49hWx7GtjmNbHce2Os04tgM9PeMGYF6xPw9YPMCfL0mSJO2xKl85twj4KXBwRKyIiI8AlwKnRMQjwCnFsSRJktTUKpuekZlzd3Hq5Ko+swINnR4yxDm21XFsq+PYVsexrY5jWx3HtjpNN7aRmY2uQZIkSWpqLqMtSZIklTA0F1z2uzoR8fqIuDUiHoyI5RFxUdHu+PZRRIyOiDsj4t5ibP9z0e7Y9oOIaImIuyPixuLYce0nEfF4RNwfEfdExNKizfHtBxExPiKuiYiHin933+LY9l1EHFz8fd3+80JEXOzY9l1EfKr4b9gDEbGo+G9b042rofll/4jLfldlK/BHmXko8Gbg4xExE8e3P2wGTsrMWcBs4LSIeDOObX+5CHiw17Hj2r/enpmze71WyvHtH18Fvp+ZhwCzqP0ddmz7KDMfLv6+zgaOBjYA1+PY9klETAEuBDoz83CgBTifJhxXQ3PBZb+rk5krM/OuYn8dtX/Ap+D49lnWrC8O24qfxLHts4iYCrwb+EavZse1Wo5vH0XE3sDxwGUAmbklM9fi2Pa3k4FHM/NXOLb9oRVoj4hWYAzwNE04robm3XPZ734WEdOAo4A7cHz7RTGF4B5qiwXdnJmObf/4CvAnwLZebY5r/0nghxGxrFgBFhzf/nAg0AV8q5ha9I2IGItj29/OBxYV+45tH2TmU8CXgSeAlcDzmflDmnBcDc0aMBExDrgWuDgzX2h0PUNFZvYUvy6cChwTEYc3uKRBLyLOAFZn5rJG1zKEHZeZc4DTqU3ZOr7RBQ0RrcAc4GuZeRTwIk3wa+2hJCJGAmcC32l0LUNBMVf5LGA6cAAwNiLe39iqds7QvHuriuW+KVv2W7sXEW3UAvPlmXld0ez49qPiV7A/ojY337Htm+OAMyPiceBK4KSI+DaOa7/JzKeL7Wpq80KPwfHtDyuAFcVvnACuoRaiHdv+czpwV2auKo4d2755B/BYZnZlZjdwHXAsTTiuhubdc9nvfhARQW1+3YOZ+d97nXJ8+ygiOiJifLHfTu0fn4dwbPskMz+bmVMzcxq1X8Pekpnvx3HtFxExNiL22r4PvBN4AMe3zzLz18CTEXFw0XQy8Asc2/40l5enZoBj21dPAG+OiDFFXjiZ2nefmm5cXdykELVlv08E9gNWAX8OfBe4GngDtf9Rz8vMHb8sqBIR8VbgX4D7eXl+6OeozWt2fPsgIo6k9gWJFmr/J/jqzPxiREzEse0XEXEi8OnMPMNx7R8RcSC1p8tQm05wRWb+pePbPyJiNrUvsI4Efgl8mOLfBxzbPomIMcCTwIGZ+XzR5t/bPipel/o71N62dTfwe8A4mmxcDc2SJElSCadnSJIkSSUMzZIkSVIJQ7MkSZJUwtAsSZIklTA0S5IkSSUMzZLUJIolj2f2w33WF9sTI+LGvle208/4UUR0VnFvSWpGrY0uQJKGk+Ll/ZGZ23Y8l5m/14CSJEl18EmzJFUsIqZFxIMR8b+Bu4DLImJpRCwvXuq/vd+PIqIzIloi4h8j4oGIuD8iPlWcPygivh8RyyLiXyLikKJ9ekT8NCJ+HhFf2uHjx0XENRHxUERcXoR2IuILRf8HImJBr/YfRcR/iYg7I+LfIuJtRXt7RFwZEfdFxFVAe9G+01olaajxSbMkDYyDgQ9n5sciYkJmPhsRLcCSiDgyM+/r1Xc2MCUzDwfYvlQ6sAD4j5n5SES8CfjfwEnAV4GvZeb/iYiP7/C5RwGHAU8D/wocB9wG/F1mfrG4/z8BZwDfK65pzcxjIuJd1FZHfQfwB8CGzDyyWInyrpJaJWlI8UmzJA2MX2Xmz4r990XEXdSWiz0M2HEe8y+BAyPibyPiNOCFiBgHHAt8JyLuAf4emFz0Pw5YVOz/0w73ujMzVxTTQe4BphXtb4+IOyLifmrB+7Be11xXbJf16n888G2AIuBvD/mvqrWOsZCkQcfQLEkD40WoTaUAPg2cnJlHAjcBo3t3zMzngFnAj4CPA9+g9u/12syc3evn0N6X7eJzN/fa7wFaI2I0tafU783MI4B/2KGGzb377+4zdlGrJA05hmZJGlh7UwvQz0fEJOD0HTtExH7AiMy8FvgzYE5mvgA8FhHnFX0iImYVl/wrcH6x/7t11LA9ID9TPMF+bx3X/GT7vSPicODIXdVax70kadBxTrMkDaDMvDci7gaWU5va8K876TYF+FZEbH+w8dli+7vA1yLiT4E24ErgXuAi4IqIuAi4to4a1kbEPwD3A48DP6+j9K8VNd1HbZrHnSW1StKQEpm7+o2eJEmSJHB6hiRJklTK0CxJkiSVMDRLkiRJJQzNkiRJUglDsyRJklTC0CxJkiSVMDRLkiRJJQzNkiRJUon/DwH+smnB6k4TAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#kuwait student interest discussion wise and raised hand wise in  History\n",
    "topicHistory=stntKuwait[stntKuwait['Topic']=='History']\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=stntKuwait.raisedhands, y=stntKuwait.Discussion, hue=topicHistory.gender, s=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['IT', 'Math', 'Arabic', 'Science', 'English', 'Quran', 'Spanish',\n",
       "       'French', 'History', 'Biology', 'Chemistry', 'Geology'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Topics =student_df.Topic.unique()\n",
    "Topics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>NationalITy</th>\n",
       "      <th>PlaceofBirth</th>\n",
       "      <th>StageID</th>\n",
       "      <th>GradeID</th>\n",
       "      <th>SectionID</th>\n",
       "      <th>Topic</th>\n",
       "      <th>Semester</th>\n",
       "      <th>Relation</th>\n",
       "      <th>raisedhands</th>\n",
       "      <th>VisITedResources</th>\n",
       "      <th>AnnouncementsView</th>\n",
       "      <th>Discussion</th>\n",
       "      <th>ParentAnsweringSurvey</th>\n",
       "      <th>ParentschoolSatisfaction</th>\n",
       "      <th>StudentAbsenceDays</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>20</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>70</td>\n",
       "      <td>No</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>M</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Mum</td>\n",
       "      <td>50</td>\n",
       "      <td>90</td>\n",
       "      <td>29</td>\n",
       "      <td>60</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>HighSchool</td>\n",
       "      <td>G-11</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>15</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>F</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Mum</td>\n",
       "      <td>70</td>\n",
       "      <td>80</td>\n",
       "      <td>95</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>USA</td>\n",
       "      <td>HighSchool</td>\n",
       "      <td>G-11</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Mum</td>\n",
       "      <td>70</td>\n",
       "      <td>80</td>\n",
       "      <td>95</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>USA</td>\n",
       "      <td>HighSchool</td>\n",
       "      <td>G-11</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Mum</td>\n",
       "      <td>60</td>\n",
       "      <td>80</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Mum</td>\n",
       "      <td>100</td>\n",
       "      <td>80</td>\n",
       "      <td>95</td>\n",
       "      <td>90</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>M</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>USA</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Mum</td>\n",
       "      <td>100</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>70</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>M</td>\n",
       "      <td>Tunis</td>\n",
       "      <td>Tunis</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>10</td>\n",
       "      <td>60</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>M</td>\n",
       "      <td>Tunis</td>\n",
       "      <td>Tunis</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>19</td>\n",
       "      <td>65</td>\n",
       "      <td>50</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>M</td>\n",
       "      <td>Tunis</td>\n",
       "      <td>Tunis</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>10</td>\n",
       "      <td>75</td>\n",
       "      <td>55</td>\n",
       "      <td>11</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>55</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>19</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>M</td>\n",
       "      <td>Tunis</td>\n",
       "      <td>SaudiArabia</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>70</td>\n",
       "      <td>75</td>\n",
       "      <td>55</td>\n",
       "      <td>11</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>F</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Mum</td>\n",
       "      <td>100</td>\n",
       "      <td>75</td>\n",
       "      <td>50</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>F</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>10</td>\n",
       "      <td>79</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>60</td>\n",
       "      <td>55</td>\n",
       "      <td>30</td>\n",
       "      <td>40</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>F</td>\n",
       "      <td>Jordan</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Mum</td>\n",
       "      <td>100</td>\n",
       "      <td>75</td>\n",
       "      <td>50</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>M</td>\n",
       "      <td>SaudiArabia</td>\n",
       "      <td>SaudiArabia</td>\n",
       "      <td>HighSchool</td>\n",
       "      <td>G-11</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>51</td>\n",
       "      <td>59</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>M</td>\n",
       "      <td>Syria</td>\n",
       "      <td>Syria</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>19</td>\n",
       "      <td>72</td>\n",
       "      <td>15</td>\n",
       "      <td>50</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-06</td>\n",
       "      <td>A</td>\n",
       "      <td>Quran</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>70</td>\n",
       "      <td>40</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    gender  NationalITy PlaceofBirth       StageID GradeID SectionID  Topic  \\\n",
       "45       M           KW       KuwaIT  MiddleSchool    G-07         A  Quran   \n",
       "75       M       Jordan       Jordan  MiddleSchool    G-07         A  Quran   \n",
       "78       M           KW       KuwaIT    HighSchool    G-11         A  Quran   \n",
       "134      M           KW       KuwaIT  MiddleSchool    G-07         A  Quran   \n",
       "135      F        Egypt        Egypt  MiddleSchool    G-07         A  Quran   \n",
       "136      F           KW          USA    HighSchool    G-11         A  Quran   \n",
       "137      F           KW          USA    HighSchool    G-11         A  Quran   \n",
       "138      F       Jordan        Egypt  MiddleSchool    G-07         A  Quran   \n",
       "139      M       Jordan          USA  MiddleSchool    G-07         A  Quran   \n",
       "140      M        Tunis        Tunis  MiddleSchool    G-07         A  Quran   \n",
       "141      M        Tunis        Tunis  MiddleSchool    G-07         A  Quran   \n",
       "142      M        Tunis        Tunis  MiddleSchool    G-07         A  Quran   \n",
       "143      M           KW       KuwaIT  MiddleSchool    G-07         A  Quran   \n",
       "144      M           KW       KuwaIT  MiddleSchool    G-07         A  Quran   \n",
       "145      M        Tunis  SaudiArabia  MiddleSchool    G-07         A  Quran   \n",
       "146      F      lebanon      lebanon  MiddleSchool    G-07         A  Quran   \n",
       "147      F      lebanon      lebanon  MiddleSchool    G-07         A  Quran   \n",
       "148      F       Jordan       Jordan  MiddleSchool    G-07         A  Quran   \n",
       "149      F       Jordan      lebanon  MiddleSchool    G-07         A  Quran   \n",
       "150      M  SaudiArabia  SaudiArabia    HighSchool    G-11         A  Quran   \n",
       "232      M        Syria        Syria  MiddleSchool    G-07         A  Quran   \n",
       "248      F           KW       KuwaIT  MiddleSchool    G-06         A  Quran   \n",
       "\n",
       "    Semester Relation  raisedhands  VisITedResources  AnnouncementsView  \\\n",
       "45         F   Father           20                12                 15   \n",
       "75         F      Mum           50                90                 29   \n",
       "78         F   Father           13                 3                 11   \n",
       "134        S   Father           80                80                 15   \n",
       "135        S      Mum           70                80                 95   \n",
       "136        S      Mum           70                80                 95   \n",
       "137        F      Mum           60                80                 50   \n",
       "138        F      Mum          100                80                 95   \n",
       "139        F      Mum          100                85                 85   \n",
       "140        F   Father           10                60                  5   \n",
       "141        S   Father           19                65                 50   \n",
       "142        S   Father           10                75                 55   \n",
       "143        S   Father           80                90                 55   \n",
       "144        S   Father           10                10                 15   \n",
       "145        S   Father           70                75                 55   \n",
       "146        S      Mum          100                75                 50   \n",
       "147        S   Father           10                79                 30   \n",
       "148        S   Father           60                55                 30   \n",
       "149        S      Mum          100                75                 50   \n",
       "150        S   Father           80                80                 51   \n",
       "232        F   Father           19                72                 15   \n",
       "248        S   Father           70                40                  2   \n",
       "\n",
       "     Discussion ParentAnsweringSurvey ParentschoolSatisfaction  \\\n",
       "45           70                    No                     Good   \n",
       "75           60                   Yes                     Good   \n",
       "78            9                    No                      Bad   \n",
       "134          70                   Yes                     Good   \n",
       "135          70                   Yes                     Good   \n",
       "136          70                   Yes                     Good   \n",
       "137          40                    No                      Bad   \n",
       "138          90                    No                      Bad   \n",
       "139          70                    No                      Bad   \n",
       "140          20                   Yes                      Bad   \n",
       "141          10                    No                      Bad   \n",
       "142          11                   Yes                     Good   \n",
       "143          19                   Yes                     Good   \n",
       "144          19                    No                      Bad   \n",
       "145          11                   Yes                      Bad   \n",
       "146          70                   Yes                     Good   \n",
       "147          30                    No                      Bad   \n",
       "148          40                    No                      Bad   \n",
       "149          70                   Yes                      Bad   \n",
       "150          59                   Yes                     Good   \n",
       "232          50                   Yes                     Good   \n",
       "248          16                    No                      Bad   \n",
       "\n",
       "    StudentAbsenceDays Class  \n",
       "45             Above-7     L  \n",
       "75             Under-7     M  \n",
       "78             Above-7     L  \n",
       "134            Under-7     H  \n",
       "135            Under-7     H  \n",
       "136            Under-7     H  \n",
       "137            Under-7     M  \n",
       "138            Under-7     H  \n",
       "139            Under-7     M  \n",
       "140            Above-7     L  \n",
       "141            Above-7     L  \n",
       "142            Under-7     M  \n",
       "143            Under-7     H  \n",
       "144            Above-7     L  \n",
       "145            Under-7     M  \n",
       "146            Under-7     H  \n",
       "147            Under-7     M  \n",
       "148            Under-7     M  \n",
       "149            Under-7     H  \n",
       "150            Under-7     H  \n",
       "232            Above-7     M  \n",
       "248            Above-7     L  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topicQuran=student_df[student_df.Topic=='Quran']\n",
    "topicQuran"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#overallworld student discussion and raised hand in quran\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=student_df.raisedhands, y=student_df.Discussion, hue=topicQuran.gender, s=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>NationalITy</th>\n",
       "      <th>PlaceofBirth</th>\n",
       "      <th>StageID</th>\n",
       "      <th>GradeID</th>\n",
       "      <th>SectionID</th>\n",
       "      <th>Topic</th>\n",
       "      <th>Semester</th>\n",
       "      <th>Relation</th>\n",
       "      <th>raisedhands</th>\n",
       "      <th>VisITedResources</th>\n",
       "      <th>AnnouncementsView</th>\n",
       "      <th>Discussion</th>\n",
       "      <th>ParentAnsweringSurvey</th>\n",
       "      <th>ParentschoolSatisfaction</th>\n",
       "      <th>StudentAbsenceDays</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>35</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>50</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>16</td>\n",
       "      <td>50</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>50</td>\n",
       "      <td>88</td>\n",
       "      <td>30</td>\n",
       "      <td>80</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>B</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>12</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "      <td>12</td>\n",
       "      <td>19</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Mum</td>\n",
       "      <td>62</td>\n",
       "      <td>70</td>\n",
       "      <td>44</td>\n",
       "      <td>60</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>55</td>\n",
       "      <td>13</td>\n",
       "      <td>35</td>\n",
       "      <td>90</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>20</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>M</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-08</td>\n",
       "      <td>B</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>28</td>\n",
       "      <td>60</td>\n",
       "      <td>19</td>\n",
       "      <td>50</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>F</td>\n",
       "      <td>USA</td>\n",
       "      <td>USA</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>27</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>40</td>\n",
       "      <td>No</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>F</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>lebanon</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>B</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Mum</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>49</td>\n",
       "      <td>55</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>40</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>M</td>\n",
       "      <td>SaudiArabia</td>\n",
       "      <td>USA</td>\n",
       "      <td>HighSchool</td>\n",
       "      <td>G-11</td>\n",
       "      <td>B</td>\n",
       "      <td>Math</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>70</td>\n",
       "      <td>58</td>\n",
       "      <td>73</td>\n",
       "      <td>91</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>HighSchool</td>\n",
       "      <td>G-11</td>\n",
       "      <td>B</td>\n",
       "      <td>Math</td>\n",
       "      <td>S</td>\n",
       "      <td>Mum</td>\n",
       "      <td>73</td>\n",
       "      <td>84</td>\n",
       "      <td>77</td>\n",
       "      <td>81</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-06</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>87</td>\n",
       "      <td>48</td>\n",
       "      <td>82</td>\n",
       "      <td>96</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>S</td>\n",
       "      <td>Father</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>40</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>H</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>M</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>Egypt</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>S</td>\n",
       "      <td>Mum</td>\n",
       "      <td>49</td>\n",
       "      <td>94</td>\n",
       "      <td>42</td>\n",
       "      <td>7</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    gender  NationalITy PlaceofBirth       StageID GradeID SectionID Topic  \\\n",
       "6        M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "7        M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "8        F           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "10       M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "11       M           KW       KuwaIT  MiddleSchool    G-07         B  Math   \n",
       "13       M      lebanon      lebanon  MiddleSchool    G-08         A  Math   \n",
       "14       F           KW       KuwaIT  MiddleSchool    G-08         A  Math   \n",
       "17       M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "55       M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "56       M          USA          USA  MiddleSchool    G-08         B  Math   \n",
       "57       M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "58       M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "59       F          USA          USA  MiddleSchool    G-07         A  Math   \n",
       "72       M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "79       F      lebanon      lebanon  MiddleSchool    G-07         B  Math   \n",
       "80       M           KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "155      M  SaudiArabia          USA    HighSchool    G-11         B  Math   \n",
       "228      M           KW       KuwaIT    HighSchool    G-11         B  Math   \n",
       "247      F           KW       KuwaIT  MiddleSchool    G-06         A  Math   \n",
       "250      M           KW       KuwaIT    lowerlevel    G-04         A  Math   \n",
       "263      M        Egypt        Egypt    lowerlevel    G-04         A  Math   \n",
       "\n",
       "    Semester Relation  raisedhands  VisITedResources  AnnouncementsView  \\\n",
       "6          F   Father           35                12                  0   \n",
       "7          F   Father           50                10                 15   \n",
       "8          F   Father           12                21                 16   \n",
       "10         F   Father           50                88                 30   \n",
       "11         F   Father           19                 6                 19   \n",
       "13         F   Father           20                14                 12   \n",
       "14         F      Mum           62                70                 44   \n",
       "17         F   Father           55                13                 35   \n",
       "55         F   Father           16                14                  6   \n",
       "56         F   Father           19                 5                  4   \n",
       "57         F   Father            5                 2                  6   \n",
       "58         F   Father           28                60                 19   \n",
       "59         F   Father           27                22                 22   \n",
       "72         F   Father           11                 2                  2   \n",
       "79         F      Mum           80                90                 49   \n",
       "80         F   Father            8                15                 10   \n",
       "155        S   Father           70                58                 73   \n",
       "228        S      Mum           73                84                 77   \n",
       "247        S   Father           87                48                 82   \n",
       "250        S   Father           15                 6                 32   \n",
       "263        S      Mum           49                94                 42   \n",
       "\n",
       "     Discussion ParentAnsweringSurvey ParentschoolSatisfaction  \\\n",
       "6            17                    No                      Bad   \n",
       "7            22                   Yes                     Good   \n",
       "8            50                   Yes                     Good   \n",
       "10           80                   Yes                     Good   \n",
       "11           12                   Yes                     Good   \n",
       "13           19                    No                      Bad   \n",
       "14           60                    No                      Bad   \n",
       "17           90                    No                      Bad   \n",
       "55           20                   Yes                     Good   \n",
       "56            1                   Yes                     Good   \n",
       "57            5                   Yes                     Good   \n",
       "58           50                   Yes                     Good   \n",
       "59           40                    No                     Good   \n",
       "72            8                    No                      Bad   \n",
       "79           55                   Yes                      Bad   \n",
       "80           40                   Yes                      Bad   \n",
       "155          91                   Yes                      Bad   \n",
       "228          81                   Yes                     Good   \n",
       "247          96                    No                      Bad   \n",
       "250          40                   Yes                     Good   \n",
       "263           7                    No                      Bad   \n",
       "\n",
       "    StudentAbsenceDays Class  \n",
       "6              Above-7     L  \n",
       "7              Under-7     M  \n",
       "8              Under-7     M  \n",
       "10             Under-7     H  \n",
       "11             Under-7     M  \n",
       "13             Above-7     L  \n",
       "14             Above-7     H  \n",
       "17             Above-7     M  \n",
       "55             Above-7     L  \n",
       "56             Above-7     L  \n",
       "57             Above-7     L  \n",
       "58             Under-7     M  \n",
       "59             Under-7     M  \n",
       "72             Under-7     L  \n",
       "79             Under-7     H  \n",
       "80             Under-7     L  \n",
       "155            Under-7     H  \n",
       "228            Above-7     H  \n",
       "247            Above-7     M  \n",
       "250            Under-7     H  \n",
       "263            Above-7     M  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topicMath=student_df[student_df.Topic=='Math']\n",
    "topicMath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#overallworld student discussion and raised hand in Math\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.scatterplot(x=student_df.raisedhands, y=student_df.Discussion, hue=topicMath.gender, s=50);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}