Visualizacion_OT.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fase 6: Reporte de los resultados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "pd.set_option('display.max_columns', None) # para poder visualizar todas las columnas de los DataFrames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- Información general del DataFrame ---\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1614 entries, 0 to 1613\n",
      "Data columns (total 34 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   unnamed_0                 1614 non-null   int64  \n",
      " 1   age                       1614 non-null   int64  \n",
      " 2   attrition                 1614 non-null   object \n",
      " 3   businesstravel            1614 non-null   object \n",
      " 4   dailyrate                 1614 non-null   int64  \n",
      " 5   department                1614 non-null   object \n",
      " 6   distancefromhome          1614 non-null   int64  \n",
      " 7   education                 1614 non-null   int64  \n",
      " 8   educationfield            1614 non-null   object \n",
      " 9   employeenumber            1614 non-null   int64  \n",
      " 10  environmentsatisfaction   1614 non-null   int64  \n",
      " 11  gender                    1614 non-null   object \n",
      " 12  hourlyrate                1614 non-null   float64\n",
      " 13  jobinvolvement            1614 non-null   int64  \n",
      " 14  joblevel                  1614 non-null   int64  \n",
      " 15  jobrole                   1614 non-null   object \n",
      " 16  jobsatisfaction           1614 non-null   int64  \n",
      " 17  maritalstatus             1614 non-null   object \n",
      " 18  monthlyincome             1614 non-null   float64\n",
      " 19  monthlyrate               1614 non-null   int64  \n",
      " 20  numcompaniesworked        1614 non-null   int64  \n",
      " 21  overtime                  1614 non-null   object \n",
      " 22  percentsalaryhike         1614 non-null   int64  \n",
      " 23  performancerating         1614 non-null   float64\n",
      " 24  relationshipsatisfaction  1614 non-null   int64  \n",
      " 25  stockoptionlevel          1614 non-null   int64  \n",
      " 26  totalworkingyears         1614 non-null   int64  \n",
      " 27  trainingtimeslastyear     1614 non-null   int64  \n",
      " 28  worklifebalance           1614 non-null   int64  \n",
      " 29  yearsatcompany            1614 non-null   int64  \n",
      " 30  yearssincelastpromotion   1614 non-null   int64  \n",
      " 31  yearswithcurrmanager      1614 non-null   int64  \n",
      " 32  datebirth                 1614 non-null   int64  \n",
      " 33  remotework                1614 non-null   object \n",
      "dtypes: float64(3), int64(22), object(9)\n",
      "memory usage: 428.8+ KB\n",
      "\n",
      "Primeras filas del DataFrame:\n"
     ]
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>unnamed_0</th>\n",
       "      <th>age</th>\n",
       "      <th>attrition</th>\n",
       "      <th>businesstravel</th>\n",
       "      <th>dailyrate</th>\n",
       "      <th>department</th>\n",
       "      <th>distancefromhome</th>\n",
       "      <th>education</th>\n",
       "      <th>educationfield</th>\n",
       "      <th>employeenumber</th>\n",
       "      <th>environmentsatisfaction</th>\n",
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       "      <th>hourlyrate</th>\n",
       "      <th>jobinvolvement</th>\n",
       "      <th>joblevel</th>\n",
       "      <th>jobrole</th>\n",
       "      <th>jobsatisfaction</th>\n",
       "      <th>maritalstatus</th>\n",
       "      <th>monthlyincome</th>\n",
       "      <th>monthlyrate</th>\n",
       "      <th>numcompaniesworked</th>\n",
       "      <th>overtime</th>\n",
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       "      <th>relationshipsatisfaction</th>\n",
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       "      <th>remotework</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>No</td>\n",
       "      <td>travel_rarely</td>\n",
       "      <td>684</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>Desconocido</td>\n",
       "      <td>162</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>51.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>Research Director</td>\n",
       "      <td>3</td>\n",
       "      <td>Desconocido</td>\n",
       "      <td>19537.0</td>\n",
       "      <td>6462</td>\n",
       "      <td>7</td>\n",
       "      <td>No</td>\n",
       "      <td>13</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>1972</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>52</td>\n",
       "      <td>No</td>\n",
       "      <td>travel_rarely</td>\n",
       "      <td>699</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>259</td>\n",
       "      <td>3</td>\n",
       "      <td>Male</td>\n",
       "      <td>65.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>Manager</td>\n",
       "      <td>3</td>\n",
       "      <td>Desconocido</td>\n",
       "      <td>19999.0</td>\n",
       "      <td>5678</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>14</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>34</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>33</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>1971</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>No</td>\n",
       "      <td>travel_rarely</td>\n",
       "      <td>532</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>Technical Degree</td>\n",
       "      <td>319</td>\n",
       "      <td>3</td>\n",
       "      <td>Male</td>\n",
       "      <td>58.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>Manager</td>\n",
       "      <td>4</td>\n",
       "      <td>Married</td>\n",
       "      <td>19232.0</td>\n",
       "      <td>4933</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>11</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "      <td>1981</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>47</td>\n",
       "      <td>No</td>\n",
       "      <td>travel_rarely</td>\n",
       "      <td>359</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>Medical</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Female</td>\n",
       "      <td>82.0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Research Director</td>\n",
       "      <td>3</td>\n",
       "      <td>Married</td>\n",
       "      <td>17169.0</td>\n",
       "      <td>26703</td>\n",
       "      <td>3</td>\n",
       "      <td>No</td>\n",
       "      <td>19</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>1976</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>46</td>\n",
       "      <td>No</td>\n",
       "      <td>travel_rarely</td>\n",
       "      <td>1319</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>Technical Degree</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Female</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>Sales Executive</td>\n",
       "      <td>1</td>\n",
       "      <td>Divorced</td>\n",
       "      <td>4859.0</td>\n",
       "      <td>7739</td>\n",
       "      <td>2</td>\n",
       "      <td>No</td>\n",
       "      <td>12</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>1977</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   unnamed_0  age attrition businesstravel  dailyrate  \\\n",
       "0          0   51        No  travel_rarely        684   \n",
       "1          1   52        No  travel_rarely        699   \n",
       "2          2   42        No  travel_rarely        532   \n",
       "3          3   47        No  travel_rarely        359   \n",
       "4          4   46        No  travel_rarely       1319   \n",
       "\n",
       "                 department  distancefromhome  education    educationfield  \\\n",
       "0   Research & Development                  6          3       Desconocido   \n",
       "1   Research & Development                  1          4     Life Sciences   \n",
       "2   Research & Development                  4          2  Technical Degree   \n",
       "3   Research & Development                  2          4           Medical   \n",
       "4   Research & Development                  3          3  Technical Degree   \n",
       "\n",
       "   employeenumber  environmentsatisfaction  gender  hourlyrate  \\\n",
       "0             162                        1    Male        51.0   \n",
       "1             259                        3    Male        65.0   \n",
       "2             319                        3    Male        58.0   \n",
       "3               0                        1  Female        82.0   \n",
       "4               0                        1  Female        45.0   \n",
       "\n",
       "   jobinvolvement  joblevel              jobrole  jobsatisfaction  \\\n",
       "0               3         5   Research Director                 3   \n",
       "1               2         5             Manager                 3   \n",
       "2               3         5             Manager                 4   \n",
       "3               3         4   Research Director                 3   \n",
       "4               4         4     Sales Executive                 1   \n",
       "\n",
       "  maritalstatus  monthlyincome  monthlyrate  numcompaniesworked overtime  \\\n",
       "0   Desconocido        19537.0         6462                   7       No   \n",
       "1   Desconocido        19999.0         5678                   0       No   \n",
       "2       Married        19232.0         4933                   1       No   \n",
       "3       Married        17169.0        26703                   3       No   \n",
       "4      Divorced         4859.0         7739                   2       No   \n",
       "\n",
       "   percentsalaryhike  performancerating  relationshipsatisfaction  \\\n",
       "0                 13                3.0                         3   \n",
       "1                 14                3.0                         1   \n",
       "2                 11                3.0                         4   \n",
       "3                 19                3.0                         2   \n",
       "4                 12                3.0                         4   \n",
       "\n",
       "   stockoptionlevel  totalworkingyears  trainingtimeslastyear  \\\n",
       "0                 0                 10                      5   \n",
       "1                 1                 34                      5   \n",
       "2                 0                 22                      3   \n",
       "3                 2                 10                      2   \n",
       "4                 1                 10                      5   \n",
       "\n",
       "   worklifebalance  yearsatcompany  yearssincelastpromotion  \\\n",
       "0                3              20                       15   \n",
       "1                3              33                       11   \n",
       "2                3              22                       11   \n",
       "3                3              20                        5   \n",
       "4                3              19                        2   \n",
       "\n",
       "   yearswithcurrmanager  datebirth remotework  \n",
       "0                    15       1972        Yes  \n",
       "1                     9       1971        Yes  \n",
       "2                    15       1981        Yes  \n",
       "3                     6       1976         No  \n",
       "4                     8       1977         No  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
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     "text": [
      "\n",
      "Filas aleatorias del DataFrame:\n"
     ]
    },
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       "      <td>No</td>\n",
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       "      <td>73.0</td>\n",
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       "      <td>2</td>\n",
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       "      <td>18172.0</td>\n",
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       "      <td>9</td>\n",
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       "      <td>travel_frequently</td>\n",
       "      <td>840</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>Desconocido</td>\n",
       "      <td>999</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>Research Director</td>\n",
       "      <td>3</td>\n",
       "      <td>Desconocido</td>\n",
       "      <td>4859.0</td>\n",
       "      <td>3735</td>\n",
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       "      <td>1982</td>\n",
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       "      <th>719</th>\n",
       "      <td>719</td>\n",
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       "      <td>No</td>\n",
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       "      <td>98.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>Desconocido</td>\n",
       "      <td>4194.0</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1998</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>419</td>\n",
       "      <td>43</td>\n",
       "      <td>No</td>\n",
       "      <td>travel_rarely</td>\n",
       "      <td>930</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>Medical</td>\n",
       "      <td>1402</td>\n",
       "      <td>1</td>\n",
       "      <td>Female</td>\n",
       "      <td>73.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Research Scientist</td>\n",
       "      <td>3</td>\n",
       "      <td>Single</td>\n",
       "      <td>4081.0</td>\n",
       "      <td>20003</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>14</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>1980</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1326</th>\n",
       "      <td>1326</td>\n",
       "      <td>29</td>\n",
       "      <td>Yes</td>\n",
       "      <td>travel_rarely</td>\n",
       "      <td>805</td>\n",
       "      <td>Research &amp; Development</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Life Sciences</td>\n",
       "      <td>816</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>36.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Laboratory Technician</td>\n",
       "      <td>1</td>\n",
       "      <td>Married</td>\n",
       "      <td>4859.0</td>\n",
       "      <td>6689</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>11</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1994</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      unnamed_0  age attrition     businesstravel  dailyrate  \\\n",
       "671         671   50        No      travel_rarely          0   \n",
       "9             9   41        No  travel_frequently        840   \n",
       "719         719   25        No      travel_rarely        141   \n",
       "419         419   43        No      travel_rarely        930   \n",
       "1326       1326   29       Yes      travel_rarely        805   \n",
       "\n",
       "                    department  distancefromhome  education educationfield  \\\n",
       "671    Research & Development                 47          3    Desconocido   \n",
       "9      Research & Development                  9          3    Desconocido   \n",
       "719    Research & Development                  3          1    Desconocido   \n",
       "419    Research & Development                  6          3        Medical   \n",
       "1326   Research & Development                  1          2  Life Sciences   \n",
       "\n",
       "      employeenumber  environmentsatisfaction  gender  hourlyrate  \\\n",
       "671                0                        1  Female        73.0   \n",
       "9                999                        1    Male        64.0   \n",
       "719                0                        3    Male        98.0   \n",
       "419             1402                        1  Female        73.0   \n",
       "1326             816                        2  Female        36.0   \n",
       "\n",
       "      jobinvolvement  joblevel                  jobrole  jobsatisfaction  \\\n",
       "671                3         5       Research Director                 2   \n",
       "9                  3         5       Research Director                 3   \n",
       "719                3         2         Sales Executive                 1   \n",
       "419                2         2      Research Scientist                 3   \n",
       "1326               2         1   Laboratory Technician                 1   \n",
       "\n",
       "     maritalstatus  monthlyincome  monthlyrate  numcompaniesworked overtime  \\\n",
       "671    Desconocido        18172.0         9755                   3      Yes   \n",
       "9      Desconocido         4859.0         3735                   2       No   \n",
       "719    Desconocido         4194.0        14363                   1      Yes   \n",
       "419         Single         4081.0        20003                   1      Yes   \n",
       "1326       Married         4859.0         6689                   1       No   \n",
       "\n",
       "      percentsalaryhike  performancerating  relationshipsatisfaction  \\\n",
       "671                  19                3.0                         1   \n",
       "9                    17                3.0                         2   \n",
       "719                  18                3.0                         4   \n",
       "419                  14                3.0                         1   \n",
       "1326                 11                3.0                         4   \n",
       "\n",
       "      stockoptionlevel  totalworkingyears  trainingtimeslastyear  \\\n",
       "671                  0                 28                      1   \n",
       "9                    1                 21                      2   \n",
       "719                  0                  5                      3   \n",
       "419                  0                 20                      3   \n",
       "1326                 1                  1                      1   \n",
       "\n",
       "      worklifebalance  yearsatcompany  yearssincelastpromotion  \\\n",
       "671                 2               8                        0   \n",
       "9                   4              18                        0   \n",
       "719                 3               5                        0   \n",
       "419                 1              20                        1   \n",
       "1326                3               1                        0   \n",
       "\n",
       "      yearswithcurrmanager  datebirth remotework  \n",
       "671                      7       1973        Yes  \n",
       "9                       11       1982         No  \n",
       "719                      3       1998        Yes  \n",
       "419                      8       1980         No  \n",
       "1326                     0       1994        Yes  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Tamaño del Dataframe: 54876 elementos\n",
      "Forma del dataset: 1614 filas, 34 columnas\n",
      "\n",
      "--- Información sobre las columnas ---\n",
      "Columnas del dataset: ['unnamed_0', 'age', 'attrition', 'businesstravel', 'dailyrate', 'department', 'distancefromhome', 'education', 'educationfield', 'employeenumber', 'environmentsatisfaction', 'gender', 'hourlyrate', 'jobinvolvement', 'joblevel', 'jobrole', 'jobsatisfaction', 'maritalstatus', 'monthlyincome', 'monthlyrate', 'numcompaniesworked', 'overtime', 'percentsalaryhike', 'performancerating', 'relationshipsatisfaction', 'stockoptionlevel', 'totalworkingyears', 'trainingtimeslastyear', 'worklifebalance', 'yearsatcompany', 'yearssincelastpromotion', 'yearswithcurrmanager', 'datebirth', 'remotework']\n",
      "\n",
      "Conteo de valores no nulos por columna:\n",
      "unnamed_0                   1614\n",
      "age                         1614\n",
      "attrition                   1614\n",
      "businesstravel              1614\n",
      "dailyrate                   1614\n",
      "department                  1614\n",
      "distancefromhome            1614\n",
      "education                   1614\n",
      "educationfield              1614\n",
      "employeenumber              1614\n",
      "environmentsatisfaction     1614\n",
      "gender                      1614\n",
      "hourlyrate                  1614\n",
      "jobinvolvement              1614\n",
      "joblevel                    1614\n",
      "jobrole                     1614\n",
      "jobsatisfaction             1614\n",
      "maritalstatus               1614\n",
      "monthlyincome               1614\n",
      "monthlyrate                 1614\n",
      "numcompaniesworked          1614\n",
      "overtime                    1614\n",
      "percentsalaryhike           1614\n",
      "performancerating           1614\n",
      "relationshipsatisfaction    1614\n",
      "stockoptionlevel            1614\n",
      "totalworkingyears           1614\n",
      "trainingtimeslastyear       1614\n",
      "worklifebalance             1614\n",
      "yearsatcompany              1614\n",
      "yearssincelastpromotion     1614\n",
      "yearswithcurrmanager        1614\n",
      "datebirth                   1614\n",
      "remotework                  1614\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "def explorar_dataset(filepath, index_col=0, n=5):\n",
    "    \"\"\"\n",
    "    Carga un dataset y realiza una exploración inicial.\n",
    "    \n",
    "    Parámetros:\n",
    "    - filepath: Ruta del archivo CSV a cargar.\n",
    "    - index_col: Columna que se usará como índice (por defecto 0).\n",
    "    - n: Número de filas a mostrar para las funciones head, tail y sample.\n",
    "    \"\"\"\n",
    "    # Leer el dataset\n",
    "    df = pd.read_csv('hr_dataset_limpio.csv')\n",
    "    \n",
    "   \n",
    "    # Tamaño y estructura del DataFrame\n",
    "    print(\"\\n--- Información general del DataFrame ---\")\n",
    "    df.info()  # Información general\n",
    "    print(\"\\nPrimeras filas del DataFrame:\")\n",
    "    display(df.head(n))  # Mostrar las primeras n filas con display\n",
    "    print(\"\\nFilas aleatorias del DataFrame:\")\n",
    "    display(df.sample(n))  # Mostrar n filas aleatorias con display\n",
    "    print(f\"\\nTamaño del Dataframe: {df.size} elementos\")\n",
    "    print(f\"Forma del dataset: {df.shape[0]} filas, {df.shape[1]} columnas\")\n",
    "\n",
    "    # Exploración de columnas\n",
    "    print(\"\\n--- Información sobre las columnas ---\")\n",
    "    pd.set_option('display.max_columns', None)  # Ver todas las columnas\n",
    "    print(f\"Columnas del dataset: {df.columns.tolist()}\")\n",
    "    print(\"\\nConteo de valores no nulos por columna:\")\n",
    "    print(df.count())  # Conteo de valores no nulos por columna\n",
    "\n",
    "    # Retornar el DataFrame para posibles análisis adicionales\n",
    "    return df\n",
    "\n",
    "# Uso de la función\n",
    "ruta = '/mnt/data/HR_RAW_DATA.csv'\n",
    "dataset = explorar_dataset(ruta, index_col=0, n=5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Visualización de las diferentes columnas para ver su relación en diferentes ámbitos***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Satisfacción laboral**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. JobSatisfaction vs. EnvironmentSatisfaction: Evaluaremos si un entorno de trabajo satisfactorio contribuye a la satisfacción laboral general. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='environmentsatisfaction', y='jobsatisfaction', data=dataset)\n",
    "plt.title('Relación entre satisfacción laboral y satisfacción con el entorno')\n",
    "plt.xlabel('Satisfacción con el Entorno')\n",
    "plt.ylabel('Satisfacción Laboral')\n",
    "plt.show()\n",
    "\n",
    "# Gráfico de dispersión\n",
    "sns.scatterplot(x='environmentsatisfaction', y='jobsatisfaction', data=dataset)\n",
    "plt.title('Relación entre satisfacción laboral y satisfacción con el entorno')\n",
    "plt.xlabel('Satisfacción con el entorno')\n",
    "plt.ylabel('Satisfacción laboral')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. JobSatisfaction vs. JobRole: Identificaremos roles con niveles altos o bajos de satisfacción."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "satisfaction_by_role = dataset.groupby('jobrole')['jobsatisfaction'].mean()\n",
    "\n",
    "#Gráfico de barras\n",
    "sns.barplot(x=satisfaction_by_role, y=satisfaction_by_role.index, hue=satisfaction_by_role.index, palette='viridis',legend=False)\n",
    "plt.title('Satisfacción laboral por rol')\n",
    "plt.xlabel('Satisfacción Laboral Promedio')\n",
    "plt.ylabel('Rol')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Overtime vs Satisfacción: Identificafemos si la satisfacción laboral está reñidos con las horas extras de trabajo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset[\"overtime\"] = dataset[\"overtime\"].astype(str)\n",
    "\n",
    "# Gráfico de violín\n",
    "plt.figure(figsize=(8, 5))\n",
    "sns.violinplot(x=\"overtime\", y=\"jobsatisfaction\", data=dataset)\n",
    "plt.title(\"Distribución de satisfacción laboral según horas extras\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Salario y rendimiento:**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Salary vs. Education ¿Hay una correlación entre salario y estudios?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "salario_por_educacion = dataset.groupby('education')['monthlyincome'].mean()\n",
    "\n",
    "sns.barplot(x=salario_por_educacion.index, y=salario_por_educacion, hue=salario_por_educacion,legend=False,palette='pastel')\n",
    "plt.title('Salario Promedio por Nivel Educativo')\n",
    "plt.xlabel('Nivel Educativo')\n",
    "plt.ylabel('Salario Promedio')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.Salary vs. Jobrole - Departament: Visualizar cómo los salarios varían entre departamentos y roles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "salario_por_rol_y_departamento = dataset.groupby(['jobrole', 'department'])['monthlyincome'].mean().unstack()\n",
    "\n",
    "sns.barplot(data=salario_por_rol_y_departamento, palette='pastel')\n",
    "plt.title('Salario Promedio por Rol y Departamento')\n",
    "plt.xlabel('Rol')\n",
    "plt.ylabel('Salario Promedio')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Equilibrio vida-trabajo:**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.WorkLifeBalance vs. YearsAtCompany: Ver cómo el equilibrio entre vida laboral y personal cambia con el tiempo en la empresa."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico de dispersión\n",
    "sns.scatterplot(x='yearsatcompany', y='worklifebalance', data=dataset)\n",
    "plt.title('Relación entre Años en la Empresa y Equilibrio Vida-Trabajo')\n",
    "plt.xlabel('Años en la Empresa')\n",
    "plt.ylabel('Equilibrio Vida-Trabajo')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.Trabajo vs. Overtime: Analizar si el trabajo extra está asociado con el departamento."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ITwpNBnhBvuTNm9eV7Ot7gl/TuOTnn392ZfxlypQJGZPGHjym5HBRZ/R1UdRdMXaHxWBax6FZIJV14OLswKl/VF566aVIDwUAAAC4qCmrr0C/V69e7k+VwCuwFwX5+fPnj3P9e86cOQM/a5382dLEQzCt4Y/rNVUbeGNKly6dW0agP4MFTw74PqOf0L0KFZQnd7Cl71ZQn5p5DST0UAOKGjVq2Mcff2wXC69Jxvn6u6e1O4MHDz6PIwQAAAAQmzLlKqFfuHBh4DVl+NWMTyXxcvfdd9svv/ziAmeV4yvw92g9/h9//GHp06d3a/uDH3ny5Enwu/W9wQ30zpeqVau6/SrDH3tMiS0T8FWgj8Rv8xAOrfdQE4nly5e70hetHVHZSEoec0qVK1cuy549e6SHAQAAAPiaMu0PPvig9ejRw61hX7NmjWuQpwZ4HTp0CCR/dX97PVcAfccddwQ+X79+fddUr3HjxvbFF1+4zvmLFi2yp556ysVFCdF+lyxZ4j6zd+/eQEb+XKlkX5MR9913n0sgahmB+ggMGTLEPv30U0tOqTbQT+zWCVrzcOedd7o1EiqLUGb7yy+/TPDiiromKrPrPfeoyYJey5Ejh7Vq1coOHToUeE9/EYYNG+ZmZtT4Qc0hnn322cD7PXv2dBdZazpKlChhffv2dbNTCd3mIZxjjI8y2poh0ncqG33y5EnXEMKzfft2a9GihdtOgazOk/5Se3SLCf2CDBw4MPDdXbp0CQnmVdKuDpJa9qAZMnXDFM2wqXmGzrnO/b333ut+WTyaeatUqZJlzpzZldnoF1KNNzw6B1p7o3Nw+eWX27hx4wLvaYy6NvolUZMLnc8qVaq4LpZeVr59+/Z24MCBQFWDzq13/apXr+6Cdp0bzQZ6a2e0X+1PdEsMfU7nwDtOb2lHnz593O0wYtMYBg0aFNYxAAAAAIjb0KFDrVmzZi6GUIZeHfI///xz99/oHgXOiokUtymm8Oi/4dX5vlatWi4mUCykuE233lNckhA1yFNpvSoHFP+oed75oiSsAv0nnnjC3ZZPcZaqFBQzJqdUG+gndusErYe49dZb7auvvnL3V9T6jUaNGsV70XSyg7Ph3nNv0kAl/bpnoh5qnqC/hJ7evXu75wrgNfOk9SLBf5kUXKqkXO/p9g3qHvniiy+GfH/s2zyEc4yJUYCvDpVeOYpogkFBucb03XffudIYBeU6P8GBvM6bml4oeH7//ffduBT4B9NtL7zymldffdVNTGgyQiUqmjXTTJw6UGpSQXRedVuM+++/P7Dvpk2bWkxMTOD2GP369XOTJHpfXSh1TvU9wTQrp19GnSf9AmufOlbN7ml5hyYmvFtjaDvvuDXpoX8UdC0V3HvBvG6foXMv69evd5/TdYpN/6hoBi64ccbq1avdbTI0cZCUY4iP7rN58ODBkAcAAABwMVCiTLev27Nnjx09etR10lfCNpiy/oof4vrva8U4+vzvv//uYhvFfu+8807gdnlKAsbVe00xhZKHqh7QvpXgVcJPP3vLghU7xF7mG9f+FPcFLwfXGn7FUcrma0w7d+50sZWSnxddM75ChQqd8ZpOuiecWycoy6qHR0HejBkz7JNPPnGZ6Ni8zoteNjyYMva6YF4Jt2aYFAgrmFNmX0Hh2LFjrW3btoH1Jddff33g894tH0R/aRR86lYQuk+kJ/ZtHsK9PURcFPhqRurff/91Y9d3esH2Bx984F5T1lmzXt7kho5bgffNN9/sXlMAP2HCBJc1r1ChgstYq4xG5zFt2v/ND5UuXdpVMnieeeYZF+QH3yZC+9Av1oYNG9zkiwJyBffevS6D/4L379/f3TJD74uqGzQ5ontReudWdP5uu+0297N+aTQ+TZQoe66KCx1X7GuoyQWPqir0D4D+0dCYNNGhyga57LLL4l3jr+/R3ylN5Ch49wJ7ZflVzZGUY4iPynhiT6jIbXdttGxR/5us8ZPSfcdHeggAAACA76TIQF+Z5tjrojWj4gm+dUIwBbZetlXva4ZFax+UoVWAqffPpgxDgXLweNTN0Sv7VtZWWVhl2uOj4FqBpcbmBbvKOgeLfZuHcI4xPqoWUEn8r7/+ao8//rj7bi+Q1X4VFMc+v5oxC96vAloF+R6td9F4VPbvBelXXnllyD60by0RiKuDpPatSQSdJwX3qirQc/UPUCmOyve1jdbbaC2OR+dKwXuwypUrh1wL0fVQoB8fVUTo74PG+PfffwfW3ejvg9fcIxzK6mvyQoG+ZvhU7dCtWzf3XlKOIT6qDvH2J8roezOQAAAAAJBqA31lQWNnVdU90RPOrROU9Z07d67LgivbqvUbCirPpmlcQrdMCF4XEheVgCg4VJZWwa0CPmXzlfUNFvs2D+HeHiIuymZ73RyVrdcSBmWVla3WfhWgKxMdW1LvJxnXmLU84vnnnz9jWx2Lqgx0TdQUQw0yxowZ48rw1fjCm1TQsobY6+Bj34oi+Hp4VQkJNcxQAK5zr4eO21t3o+dJ/fugagn1XFi5cqWbdNHER8uWLQPHH+4xxEfVG14FBwAAAAD4JtBPTPCtE2I3zfNo3bjWUahJgxeEBTeci4sCyKTeVkHl6wr2VcqvxnmxKahVBlwBrUcNIc7HMYbjqquucoG9lhloiYH2qwoDBf2xqwqCKfOtQNabyPj+++9dpj6h7LL2rbXuGm/wxEwwBea6E4AeWsuuc6MlFcpiFyhQwFUhBN8mI6niujXGunXrbN++fa6Pgjf+2J03vR4GiV1/LSupXbu2mzDQ+bnpppvcuRT1ZTgfxwAAAAAAF10zvnBunaAA3Gtsp6BVzdISu02CAlQF7AqwVd4dbsMIZXi13l5r7FW6raDYa4KncSh7rCy+3lMZvQLb83GM4VLXeK0RV1MKBaDqkq9O+1oioaYQqhp49NFHbceOHYHPKNOtEnRVAqh7pdaeq7eBtz4/Lg8//LBrFKist5oZ6njVJVNdLxVAK3Ov9fsav86Jro8abahDvajqQWvUdY60pl+3BFRFwsiRI8M+Vl1DTeroOqrbv3o7qKOlAnlVECgIV58G9RoIpgkHTUKo2aLG5GXn46JzqOv50UcfnRHQn49jAAAAAICLLtAP59YJCqy09lud2FVOrjJtZZwTonJ6lZYr66umcuHSem3dLkEZagWtKuX21vDr3o5aJ68gWbfQU7DuNXI712MMlzrqazmEsvoqkf/2229d8KuGcRqvAnqt0Q/O8GstvSYp9P06Hh2Hd6u6+CibrUoKBfVaf6+1+Jpk0FIDTRBo//puLSXQ8ahJoc65bscnqohQk0AFxvqsMudqgqixh0vXW7cC1JhVoq9mgfpT+1FgrvX4yuxrSUewggULuiC9V69e7vzG1bDRoyUgqhDQJIImYoKdj2MAAAAAgHORJsa7txnwf7xbRwTfFgKRoWZ86uuwsk87uu4DAAAgVVNyURXFSoKpMhpJO0debHDgwIEEl2Gn2ow+AAAAAACIG4E+AAAAAAA+kiq77iN5aU05AAAAAFwow8td2ObV3dd2Mz8jow8AAAAAQCJ9zNQwXY29g6mvmV5PaQj0AQAAAABIhJrjPf/882Hfij2SCPQBAAAAAEhE/fr1LV++fDZkyJB4t5k2bZpVqFDBMmXKZMWKFXO3E48EAn0AAAAAABKRLl06e+6552zMmDG2Y8eOM95fsWKFtWjRwlq1amU///yzDRgwwPr27RuRHmgE+gAAAAAAhKFJkyZ2xRVXWP/+/c94b+TIkVavXj0X3JcpU8at63/kkUfshRdesAuNQB8AAAAAgDBpnf7kyZNt7dq1Ia/rec2aNUNe0/ONGzfaqVOn7EIi0AcAAAAAIEy1atWyBg0aWO/evS2lSh/pAQAAAAAAkJoMHTrUlfCXLVs28Fq5cuVs4cKFIdvpucr4tb7/QiLQBwAAAAAgCSpVqmRt2rSx0aNHB1574oknrEaNGjZ48GBr2bKlLV682MaOHWvjxo2zC41AHwAAAAAQUd3XdrPUZtCgQfbBBx8EnlerVs0+/PBD69evnwv28+fP77ZRU74LjUAfAAAAAIAExHWLvGLFitmxY8dCXmvWrJl7RBqBPpAKlOw5yqKjoyM9DAAAAACpAF33AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEfSR3oAAAAAAICL28bBD1zQ7yvdd7z5GYE+kAqMrj7WotJFRXoYiEf3td0iPQQAAAAkk5iYGLvpppssXbp09vnnn4e8N27cOOvTp4/98ssvVqhQIUspKN0HAAAAACAeadKksYkTJ9qSJUts/Pj/XwmwZcsWe/LJJ23MmDEpKsgXAn0AAAAAABJQuHBhGzVqlHXv3t0F+Mryd+jQwW6++WarWrWqNWzY0LJly2Z58+a1e++91/bu3Rv47NSpU61SpUqWOXNmy507t9WvX9/++ecfS04E+gAAAAAAJKJt27ZWr149u//++23s2LGuXF8Z/rp167pgf/ny5TZnzhz7888/rUWLFu4zu3btstatW7vPrF271ubPn29NmzZ1EwXJiTX6AAAAAACE4bXXXrMKFSrYt99+a9OmTXOBvoL85557LrDNhAkTXAXAhg0b7PDhw3by5EkX3BctWtS9r+x+ciOjDwAAAABAGC677DJ74IEHrFy5cta4cWP78ccfbd68ea5s33tcfvnlbtvNmzdblSpVXBWAgvu77rrLXn/9dfv7778tuRHoAwAAAAAQpvTp07uHKGPfqFEjW7VqVchj48aNVqtWLdepf+7cuTZ79mwrX768a9xXtmxZt84/ORHoAwAAAABwFqpVq2arV6+2YsWKWalSpUIeWbNmDXTtr1mzpg0cONB++OEHy5gxo82YMcOSE4E+AAAAAABn4eGHH7a//vrLNdxbtmyZK9f//PPPrX379nbq1Cl3Sz6t31ejvm3bttn06dNtz549rvQ/OdGMDwAAAAAQUaX7/v/706cmBQoUsIULF1rPnj3drfaOHTvmmu7dcsstljZtWouOjnaN+1566SU7ePCge2/EiBHudnzJKU1Mcvf1B3DW9I9Bjhw5bHDpZy0qXVSkh4N4dF/bLdJDAAAASPGOHj3q1qYXL17coqL4b9ukniMvNjhw4ICbQEgIpfsAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAACAC4Z+8Ml/bgj0AQAAAADJLkOGDO7PI0eORHooKdbx48fdn+nSpTun/aQ/T+PBWZg/f77VqVPH/v77b8uZM2fIe8WKFbOuXbu6R2qk8f/222/u58yZM1vJkiXtscces44dO0Z6aAAAAAAiQMGr4p7du3e751myZLE0adJEelgpxunTp23Pnj3uvKRPf26hOoE+ks2gQYOsU6dObsbuo48+cj8XLFjQGjZsaCnViRMnAjONAAAAAM6vfPnyuT+9YB+h0qZNa0WKFDnnCRBK91OBrVu3ugu9atWqwGv79+93r6kqQPSnnn/++edWtWpVl0WvW7eu+wWaPXu2lStXzqKjo+3uu+8OKZWZM2eOXX/99W5mLXfu3Hb77bfb5s2bz/ju6dOnu+oDzS5VqVLFFi9enOi4s2fP7n6RS5QoYT179rRcuXLZ3LlzQ45BGf5LL73UjU3j/fHHHwPv62d9p/aj96+88kpbvnx54P1p06ZZhQoVLFOmTK6CYMSIESHfr3HPnDkz5DUd56RJk0KO7YMPPrDatWtbVFSUvfvuu+69CRMmBPadP39+e+SRR87buAEAAICLlf77W/99XaZMGStevDiP4qGP0qVLW8aMGc/5PJPR95kBAwbY2LFjXUDeokUL91Cw+t5779nhw4etSZMmNmbMGBd4yz///GPdunWzypUru/f79evnttGkgmaTPE899ZQNHz7c/cXTz61bt7ZNmzaFVVKiEpQZM2a4JQrBf2nvuusuNyGhiYgcOXLY+PHjrV69erZhwwY3KdCmTRs3afHKK6+4Mh+Nycu2r1ixwh2bjrdly5a2aNEie+ihh9xkRbt27ZJ0znr16uUmCfRdCvb1fTonQ4cOddUHBw4csIULF56XcSfm2LFj7uE5ePBgko4FAAAASA3038nnug4d8SPQTwEKFSp0xmtn26DimWeesZo1a7qfO3ToYL1793YZemXVpXnz5jZv3rxAoN+sWbOQzyuTrUz1mjVrrGLFioHXu3fvbrfddpv7eeDAgS7brUD/8ssvj3cs+o6nn37aBa4nT550QbC3Rn/BggW2dOlSV3GgiQjRRIIy8FOnTrXOnTvbtm3brEePHoHv0CSDZ+TIkS647tu3r3uuGUGN+YUXXkhyoK8+CE2bNg05h0888YTrKeCpUaPGeRl3YoYMGeLOb2y33bXRskWd+8xeUpXuO/6CfycAAACAc0Ppfgrw3Xffuaxv8KNAgQJntS9l5j158+Z1mX0vyPdeC14Ps3HjRped1zYqM1cJvChYjW+/KrUJZ12Ngl0dy9dff21XX321vfjii1aqVKlAebsqCJSBz5YtW+CxZcuWwNIBZdU1MVC/fn2XXQ9eUrB27drAhIZHz3U8p06dStI5q169euBnHdPOnTvdJEJcznXcidHEjCoIvMf27duTdCwAAAAAQEY/BdBajNhd94NL4r0S+uB7KqppXFyCS8S1/iV2ybheUym9p1GjRla0aFF7/fXX3eSC3lMm37utQ3z7leD9xCVPnjwusNdDzfgqVarkgury5cu7YFkTBl6PgWDeuVBZvnoKfPrpp65Mvn///jZlyhS3tCAcGmfs+1DGdd6yZs0a+Fkl+QlJ7nGrSsCrFAAAAACAs0FGPxVQKb3s2rUr8FpwY76ztW/fPlu/fr0rr1cGWw37tI4+ORQuXNitpVfGWqpVq2Z//PGHm9DwJgO8hyYIPCrJf/zxx+2LL75w5fUTJ050r2uswevmRc+1vbfWR+ct+Jwp25/Ykgg10FNVw1dffRXn++c6bgAAAABIbmT0UwFlma+55hpXBq7sv8rLFZyfq0suucSVoL/22msuS61yfTWmSy5a865qAXWgV1n7tddea40bN7Zhw4a5wFgl88qCK/OtHgAq/VdPAR3zjh07bNmyZYGeAlpDr3XzgwcPdhMIuguAmhCOGzcu8H3qhq/X9D0q51fPgHCa4ikj36VLF7vssstcM75Dhw65SYT//Oc/5zxuAAAAAEhuZPRTCTXJU0M73apNzePUMO5caUmASsrVwV4BuDLQamaXXFSyf/PNN7vO/iqr/+yzz6xWrVrWvn17FzC3atXKfvvtN9dHQFl5VRzcd9997j112FfQ7TWqU2b9ww8/dOPX2LXPQYMGhTTiUyd9VRLccMMNrpReDQXVsyAxbdu2tZdeeslNGihw1y0HVQ0g5zpuAAAAAEhuaWJiL2IGkGLo9nq6hd/KPu3oug8AAABcxA7+X2ygpt1qpJ4QMvoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPhI+kgPAEDiSvYcZdHR0ZEeBgAAAIBUgIw+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAj6SP9AAAJG509bEWlS4q0sMAAAC4YLqv7RbpIQCpFhl9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdA/z9KkSWMzZ86M9DB8p127dta4ceNz2sfWrVvd9Vm1atUF+04AAAAAuNAI9IPMnz/fBYL79++31CiS4/eC6IQekyZNskgqXLiw7dq1yypWrBjW9qNGjYr4mAEAAAAgqdIn+RO44I4fP24ZM2a8YN8XExNjp06dsvTp0yc5iPYMHz7c5syZY19++WXgtRw5clgkpUuXzvLlyxf29pEeLwAAAACcDTL6SbBs2TK76aabLE+ePC4IrF27tq1cufKM7RTwNmzY0DJnzmwlSpSwqVOnhrz/888/W926dd37uXPnts6dO9vhw4fPKBl/9tlnrUCBAla2bFn3+ttvv23Vq1e37Nmzu4D17rvvtt27dwcy6nXq1HE/X3LJJS6Drv3IsWPH7NFHH7XLLrvMoqKi7Prrr3fHErsSYPbs2XbllVdapkyZ7J133rG0adPa8uXLQ8b+0ksvWdGiRe306dNxBtHeI1u2bG6iwHuu79Znixcv7o67SpUqZ5yX1atX2+23327R0dHuGG+44QbbvHlzyDaaQMifP787bw8//LCdOHEi8F6xYsXsueees/vvv999vkiRIvbaa68lWLqf0HfGLt3XxIXOXc6cOd3363PB4/P2P336dHctsmTJ4o5z8eLFZ/wdAQAAAIDkQqCfBIcOHbK2bdvaggUL7Pvvv7fSpUvbrbfe6l4P1rdvX2vWrJn9+OOP1qZNG2vVqpWtXbvWvffPP/9YgwYNXDCuYPujjz5yWe9HHnkkZB9fffWVrV+/3ubOnWuzZs1yrymoHTx4sNuv+gAosPSCeWXUp02b5n7W5zTZoNJzefLJJ917kydPdhMTpUqVcmP466+/Qr6zV69eNnToUDfWO+64w+rXr28TJ04M2UbP9Z2aBEiKIUOG2FtvvWWvvvqqC64ff/xxu+eee+ybb75x7//+++9Wq1YtN8nw9ddf24oVK1zAfvLkycA+5s2b5wJr/aljUVl97NL6ESNGuMmQH374wR566CF78MEH3fmISzjfGUzXrlu3bm7yQ9dH56BJkyZnTHo89dRT1r17dzehUKZMGWvdunW8+4xNkzIHDx4MeQAAAABAUqSJUZ02ApltZWL//vtvl7VNjAI8bffee++57K4oo9ulSxd75ZVXAttdc801Vq1aNRs3bpy9/vrr1rNnT9u+fbtlzZrVvf/ZZ59Zo0aNbOfOnZY3b14XSCt7vG3btgRL9hVw1qhRw000KIMe1/gVnGpSQQGxKgC8CQNlv7t27Wo9evQIfE6TB3feeWdg/x9++KE7Fk0aKBjWJIGC6F9//dV9PiEDBgxw+1Owq+A1V65cbkLj2muvDWzTsWNHO3LkiDt/ffr0sSlTprigPEOGDGfsT+dE41Sgr+oBadGihQu29TnRmJSRV+WD6K+2qgkGDhzojkMTI6oo0CTAFVdcEdZ3qt9BfM0V9+7da5deeqmr0NC6f2//b7zxhnXo0MFts2bNGqtQoYKbPLn88ssTPGfeedN4Y1vZp51li7pwyzf8qnTf8ZEeAgAAAHBWlARUZfmBAwdcRXJCyOgnwZ9//mmdOnVymXydYJ1cldwrIA8WHMx6z72Mvv5UObcX5EvNmjXdpEFw5rlSpUpnBPnKOGtCQCXpKjPX0gGJ/f3BFBgrsNd3eBTUXnXVVYExeRTEB1PZuoLqGTNmuOeaLNCEQGJBfmybNm1yAb2WPWhCwnsow++VvmtCQEF6XAG3RwGzF+SLSvi9pQueypUrB37WpIsC/djbeML5zmAbN2502Xktx9C1985D7PMfPAaNUeIbQ2y9e/d2v7jeQxNCAAAAAJAUNONLApXt79u3z5XEa526stwK4tUs73wLnggILvnX491333WZZAWYen6+vj/2d2qi4b777nPl+k2bNnWZd285QFJ4/Qc+/fRTK1iwYMh7OoeidfuJiR2QK5CPXTYfzjaecL4zmCZZdN1VlaHeCdqvMvmxz3/wGPT9Et8YYtP58M4JAAAAAJwNMvpJsHDhQtfUTuvylV1WQKby7di0fj/283Llyrmf9afW2CtwD96vStC9pntxWbdunZtk0Bp6ZaFVBh47S+xVAKhjvqdkyZLudX2HRxl+9QcoX758oses8nqV3GvZgdaZK+BPKn2PzpUmJtQfIPih3gJeFvy7774Laa6X3JLynTr3qrh4+umnrV69eu46aokEAAAAAKQ0BPpx0JprlXV7DwXmopJ9rf9WyfuSJUtco724ssJqsDdhwgTbsGGD9e/f35YuXRpotqfPqPO9qgN++eUX11juP//5j917771ufX58VK6vgH3MmDFujfwnn3ziGvMFU7ZZGWQ179uzZ4/LpCtLr4Z0Wouvdf9aM67lByql99aRJ0QBrXoMqK+AytaTmgUXLTNQczo14FMTPZXra72/jkXPRedHa07UuFC9B1Qmr3MdXyO98yEp36k+B+q0ry7+Woqg5n1qzAcAAAAAKQ2BfhzUib1q1aqBh245J2+++abL4qqxngJz75Z1samZmpq8KWOsdejvv/9+IHuuW659/vnnruO9Guk1b97cZYjHjh2b4JhUqq818ppE0L6U2det5oKpLF7fre75mjTwJhe0re4CoDFr7ApUNQYFr+HQhIDK09WR/mxpUkJ3I1D3fU0e3HLLLa6UX83rREG0gmdNTqj3gM65SuTDXT9/NpLynV7TP/VJULm+Ji1eeOGFZBsbAAAAAJwtuu4jrCBdEww//fRTpIdy0XbWpOv++UHXfQAAAKRWdN3HeaFMt5YXqNpAywsAAAAAACkfgT7ipdJ/lbPfeOON51S2DwAAAAC4cLi9HuKlngB6AAAAAABSDzL6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAj6SP9AAAJK5kz1EWHR0d6WEAAAAASAXI6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAj6SM9AACJG119rEWli4r0MICLSve13SI9BAAAgLNCRh8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfUTM/PnzLU2aNHbJJZfY0aNHQ95btmyZe08PAAAAAED4CPQRcdmzZ7cZM2aEvPbmm29akSJFzE9OnDgR6SEAAAAAuAgQ6CPi2rZtaxMmTAg8//fff23KlCnu9WD79u2z1q1bW8GCBS1LlixWqVIle//990O2ufHGG+3RRx+1J5980nLlymX58uWzAQMGhGwzcuRI99msWbNa4cKF7aGHHrLDhw+HbPP666+79/Q9TZo0cZ/JmTNnyDYff/yxVatWzaKioqxEiRI2cOBAO3nyZOB9VSO88sordscdd7jvevbZZ8/L+QIAAACAhBDoI+Luvfde++6772zbtm3u+bRp06xYsWIuiA6m8v4rr7zSPv30U/vll1+sc+fO7rNLly4N2W7y5MkusF6yZIkNGzbMBg0aZHPnzg28nzZtWhs9erStXr3abfv111+7iQHPwoULrUuXLvbYY4/ZqlWr7KabbjojSNd477vvPrfNmjVrbPz48TZp0qQzttMkgyYKfv75Z7v//vsTPRfHjh2zgwcPhjwAAAAAICnSxMTExCTpE8B5XKNfp04d+/vvv619+/ZWtWpV69evn9WtW9caN27sSvcVJCf0V/T222+3yy+/3IYPHx7I6J86dcoF4p6rrrrK7XPo0KFx7mPq1KkusN+7d6973qpVK5fhnzVrVmCbe+65xz3fv3+/e16/fn2rV6+e9e7dO7DNO++84yYMdu7cGcjod+3a1V588cWwz4kmBlQZENvKPu0sW1RGS6lK9x0f6SEAAAAAvnbw4EHLkSOHHThwwKKjoxPclow+UgRlu5UR//XXX23x4sXWpk2bM7ZRAD948GBXdq+y/GzZstnnn38eqATwVK5cOeR5/vz5bffu3YHnX375pQvStQRA/QFUFaBlAUeOHHHvr1+/3k0OBIv9/Mcff3SVAhqD9+jUqZPt2rUrsB+pXr16ks6DJg70i+s9tm/fnqTPAwAAAACBPlKEhg0burX5HTp0sEaNGlnu3LnP2OaFF16wUaNGWc+ePW3evHmurL5BgwZ2/PjxkO0yZMgQ8lyZ9dOnT7uft27d6qoANBmgJQIrVqywl19+2b0Xez8JUcZfmXeNwXuoPH/jxo1uzb5HSwiSIlOmTG52LvgBAAAAAEmRPklbA8kkffr0bs271tTPnj07zm20dv7OO+90ZfSi4H3Dhg1Wvnz5sL9Hgb0+N2LECLdWXz788MOQbcqWLetu7xcs9nP1D1Dmv1SpUmF/NwAAAABcCAT6SDFUlt+jR484s/lSunRpt55+0aJFdskll7hO+H/++WeSAn0F5rrN3ZgxY1zlgCYPXn311ZBt/vOf/1itWrXc/rWNmvVp8kGVAR71ElBlgPoING/e3E0aqJxfTQKfeeaZczgLAAAAAHBuKN1HipExY0bLkydPSEAd7Omnn3aZdJXrq+mebp2npn1JUaVKFRfAP//881axYkV79913bciQISHb1KxZ0wX/2k7bz5kzxx5//PGQknyNQc35vvjiC6tRo4Zdc801rule0aJFz/LoAQAAAOD8oOs+EAY12lu3bl1IN/8L2VmTrvsAAADAxe1gErruU7oPxEG367vppptcMz2V7U+ePNnGjRsX6WEBAAAAQKII9IE4LF261DUGPHTokJUoUcJGjx5tHTt2jPSwAAAAACBRBPpAHGJ34gcAAACA1IJmfAAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI+kj/QAACSuZM9RFh0dHelhAAAAAEgFyOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgI+kjPQAAiRtdfaxFpYuK9DAAIGK6r+0W6SEAAJBqkNEHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBH0oe74cGDB8PeaXR09NmOBwAAAAAAXIhAP2fOnJYmTZoEt4mJiXHbnDp16lzGBAAAAAAAkjvQnzdv3tl+B8KwcOFC69Kli61bt85uu+02mzlzpqU0msSZMWOGNW7c2FKCSZMmWdeuXW3//v2RHgoAAAAApL5Av3bt2pbazZ8/3+rUqeOqE3bt2mVRUVGB95YtW2ZXXXVVoDLhQuvWrZtdccUVNnv2bMuWLVuKDMx1zi655BJLbsGVI1myZLECBQpYzZo17T//+Y9deeWVgfdatmxpt956a7KPp1ixYm5CQQ8AAAAA8G0zPmVRR4wYYR07dnSPF1980Q4cOGCpQfbs2V0AHOzNN9+0IkWKRGxMmzdvtrp161qhQoXcRERKcvz4cfdnvnz5LFOmTBfkOydOnOgmFlavXm0vv/yyHT582K6++mp76623AttkzpzZLrvsskTHnVKktPEAAAAA8KezCvSXL19uJUuWdMH9X3/95R4jR450r61cudJSurZt29qECRMCz//991+bMmWKez3Yvn37rHXr1lawYEGXWa5UqZK9//77IdvceOON9uijj9qTTz5puXLlcsHwgAEDAu9v3brVZahXrVoVMkmi11Rh4L2v77r//vvdzypJV5+DDh06WPHixV1AW7ZsWRs1atQZx6LjqFChggvA8+fPb4888kggCy1NmjRx+/Set2vX7owMvzLVOo7gY9J+9HqePHmsQYMG7nXtx1tS4I17+vTprkpC56dKlSq2ePHikH2//vrrVrhwYfe+xqK/J+FMZGgbnUuN++abb7apU6damzZt3Lj+/vtvt43OU/C+dN5VFfHGG2+48+ZVbOh8azLq0ksvdY0iNaHy448/hnzff//7X6tRo4b7jI5ZY/XOxW+//WaPP/64O97gaoNp06YFzr3GqYmvYHpt8ODBdt9997nv7dy5c6LHDQAAAAARCfQV9Nxxxx0u2FOgp8eWLVvs9ttvTxXlzffee6999913tm3btkDApqCsWrVqIdsdPXrUlYp/+umn9ssvv7hATZ9dunRpyHaTJ0+2rFmz2pIlS2zYsGE2aNAgmzt3blhjURCszLUCwZdeesn9rJL006dPu+z+Rx99ZGvWrLF+/fpZnz597MMPPwx89pVXXrGHH37Yjevnn3+2Tz75xEqVKhVYihCcGfeeh0vHlDFjRtc74NVXX413u6eeesq6d+/uJjLKlCnjJkZOnjwZ0nfgsccec+/fdNNN9uyzz9rZ0t+7Q4cOJXhuN23a5K6n/k56kyt33XWX7d692y2LWLFihbvO9erVcxNUouurwF7LAH744Qf76quvAss4tB9dB11TnUc9RPtp0aKFtWrVyp17TTL07dvXTT4EGz58uJsA0X71fmKOHTvm7nAR/AAAAACAZFmjHzujr0xt+vT//+P6WVnt6tWrW0qncu+GDRu6oEwBtLLiyqbHpky+gliP1oh//vnnLtj2AkGpXLmy9e/f3/1cunRpGzt2rAsWFdgmJl26dC5zrUxxjhw53M+egQMHBn5WhlrZcn23Akx55pln7IknnnCBtEdZaVH2OjgznlQ6Dk1aJEbnR80DvfEqw61g+/LLL7cxY8a48+ydQ00ELFq0yGbNmmVnQ/sUTTAlVB6v8n7v+BcsWOAmZhToe8sOFHyrMkFVApok0eSDAvbg863gXFSloWuk5R7B51GVCZos8IJ3HZsmZF544QVXNeFR9YCuUbiGDBkSMg7PbXdttGxRGc0PSvcdH+khAAAAAL52Vhl9ZZ+9bHiw7du3u4AoNVBgr0D/119/dQG0ysJjU/m8Sq9Vsq+AT03yFOjHPnYF+sFUQq/A8lxpbboqChS06rtfe+21wHdr/zt37nTBZnIIbnqXkOBj13F7Y5P169eHTIhI7OdJ4TVJTOg2j0WLFg0E+aISfa3vz507tzuH3kMVKOqLIMr8J/U8rl271jUIDKbnGzduDLm9ZFInvnr37u16XXgP/U4BAAAAQLJn9FVarvXjyoxed911gTJtZW6VGU0NlGlWNlfH0ahRIxcIxqbsrNbFq6Rewb7K87U0IXZTtQwZMoQ8VyCq0ntJmzbtGZ38T5w4kej41DNA51Prvq+99lo3gaLxaHmAaN3+2dB4Yt9VIK7x6FjDEXzsXgDuHfv5puDaq26IT+xxK8jXBIT6IcTmre8/23MZjnDPo0dVBxeq4SEAAAAAfzqrQF8BvoI6NRnTemwFjlrP/dBDD53TGuwLSUsNNH6Vp2vtdlw0eXHnnXfaPffcEwhgN2zYYOXLlw/7e7zsstZ2V61a1f0c3JgvPvpuTaLonHq8DLQo8FdfAS0RUDO8+ILw4OyyNx71Gwim8cSerDgf1EAwdm+ApPYKCKYJF1WT1K9fP+zPaD3+H3/84a6315AwrqoEncf27dvH+b7+bsc+j+XKlXPXKJieq4Rfpf4AAAAAkKpK9xX4KNOt7ucKElUercZmWtOeULY1pVFZ/p49ewJd5eNap67Gb1pXrmzyAw88YH/++WeSvkPZ4muuucaGDh3q9vHNN9/Y008/nejn9N3qhaClAppc0Frw2EGyGsAp4z969GhXMq47HmhdvMebCFCg63Wq15px7Vfr2PUZ9RaIHfifL+pp8Nlnn7n17Pqu8ePHu0mVhErvPeqUr3Gr472uQfPmze29995zDQiTcvtBTQqoIkJ3Gvjiiy/c+n5dTzUR1HkQnQPdTUF/6hqpud7zzz8fch6//fZb+/33323v3r3uNa2717nV3yFdHzUvVG+G4J4OAAAAAJDiA311BNcaYq071npkBU4qaVfApMBUwb86o6cWmrDQrdTiCzwVkCsjrIkA3WZNzdhi35ouHGr2p8oHrXtX6b+a6CVGkwpNmzZ1yyR0/3jdfi84uy+6HaCy3OPGjXNN8HTXAwXUHk0CKEhWZ3+vmkDHokkDNU5U4z51sVdlQ3LQ3xF17Fegr+Z2c+bMcX8/vNveJUTZdZXcqwHfgw8+6NbVq6ne3XffnaQx6NpqsqFWrVpun8q4a3mJJhDy5s3rttG11d0NdNcC3Z5PkyHBd1ZQx31NEOj2kV6Fhv5eqDGillhUrFjRNXXUdsGN+AAAAAAgEtLExF6wnYCePXu6rKyypMqKKhuu4On77793t37TbcwoW0ZCOnXqZOvWrXO3N0TidHs93Y1hZZ92dN0HAAAALmIH/y82UNNuLWk+b2v0lfVUyfcdd9zhyr21tlmZapXuh1OOjYuP+jnoNoNqSqeyfZW4qwIBAAAAAJA8khTo79ixI3DbNZUrqzu4SrEJ8hEflcCr4aGWCJQoUcL1E+jYsWOkhwUAAAAAvpWkQF+dx7WuPfDh9Ond2mkgPlrHDgAAAABIoYG+lvOr2Zh3n++jR49aly5dzrhX+PTp08/vKAEAAAAAwPkP9NXlPZh3f3kAAAAAAJAKA/2JEycm30gAAAAAAMA5S3vuuwAAAAAAACkFgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAj6SP9AAAJK5kz1EWHR0d6WEAAAAASAXI6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPhI+kgPAEDiRlcfa1HpoiI9DOC86L62W6SHAAAA4Gtk9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAH8lmwIABdsUVVyTb/tu1a2eNGzdOtv0DAAAAQGpEoB9h8+fPtzRp0gQel156qd166632888/28V+PtKmTWs5cuSwqlWr2pNPPmm7du0K2XbUqFE2adKkZB3P1q1b3VhWrVqVrN8DAAAAAOcLgX4KsX79ehfIfv7553bs2DG77bbb7Pjx45ZSJffYdD527txpy5Yts549e9qXX35pFStWDJkA0SRAzpw5IzbGpDpx4kSkhwAAAADgIkCgn0Jcdtllli9fPqtWrZp17drVtm/fbuvWrQu8v2DBArvhhhssc+bMVrhwYXv00Uftn3/+Cbw/btw4K126tEVFRVnevHmtefPmgfdOnz5tQ4YMseLFi7vPV6lSxaZOnRp4/9SpU9ahQ4fA+2XLlnXZ8rjK5J999lkrUKCA20Z27NhhrVu3tly5clnWrFmtevXqtmTJkpDPvv3221asWDEXmLdq1coOHToU9vkoU6aM+8zChQtdtcODDz54xpg8N954oz3yyCPu/OXJk8caNGjgXv/ll1+sYcOGli1bNndu7r33Xtu7d2/I+Rk2bJiVKlXKMmXKZEWKFHHHKTonoqoCZfb1Hd5nBg0aZIUKFXKf0RKFOXPmnFEJ8MEHH1jt2rXddXn33XcTPW4AAAAAOFcE+inMgQMHbMqUKe7njBkzuj83b95st9xyizVr1sx++uknFzwq8FdQK8uXL3eBvwJPZcIVcNaqVSuwTwX5b731lr366qu2evVqe/zxx+2ee+6xb775JhC0KmD96KOPbM2aNdavXz/r06ePffjhhyFj++qrr9z+586da7NmzbLDhw+7IPb333+3Tz75xH788UdXYq/9eTT2mTNnuu310HcOHTo0yedFExBdunRxAf/u3bvj3W7y5MnuvGk7He/+/futbt26LlDXedK5+fPPP61FixaBz/Tu3duNqW/fvu7433vvPTchIEuXLnV/qqJAFRfTp093zzURMmLECBs+fLi7JppUuOOOO2zjxo0h4+nVq5c99thjtnbt2sDEQ0JUzXHw4MGQBwAAAAAkRZqYmJiYJH0C531Nep06dVw2XLwsvYLGjz/+2P3csWNHS5cunY0fPz7wOQX6CrK1/WeffWbt27d32fXs2bOfETgq265A9dprrw28rn0eOXLEBbVx0STCH3/8Ecj8K3uuIHnbtm2BCYjXXnvNunfv7rLX+o64mvG98MILbj/euDQR8O2339r333+f4Pn4+++/zyjL1/crM6+KgauuusqNSYG8JhJE2XYFxitXrgx85plnnrHvvvvOLYnw6DypKkKTFvnz53eVAmPHjnXnJDYdm7L6P/zwQ0hjwYIFC9rDDz/sJkQ8GlONGjXs5ZdfDnzupZdecoF+uHTOBg4ceMbrK/u0s2xR/zvvF0Lpvv//7xoAAACAyFOsoyppJYejo6MT3Db9BRsVEqRgNEuWLC4Afu6551w22qNMubLGwaXfmp9R5nzLli120003WdGiRa1EiRIu869HkyZN3P42bdrkAnptE3v9urLcHgWnEyZMcIH8v//+696P3TG/UqVKgSBf1KBO+4gryPeoZD948kGBdUIZ+YR4c1IqiY/PlVdeGfJc527evHmubD82VRtookCTIfXq1UvSL5j6B9SsWTPkdT3X9wXTUoakUHVBt27dQr5LkxIAAAAAEC4C/RRC2V9lsLX2XYFwy5YtXeZbVCL/wAMPuPL82LSeXMG3stjKhn/xxReu9F6ZYTWy02fl008/dVnoYFpbLloqoMy8StGV9Vdgrkx87LX2XtVBcDl9YjJkyBDyXEF6cGl/Uqj83Zs8iE/sMer4GzVqZM8///wZ22rS4ddff7XkFHs8idE18a4LAAAAAJwNAv0USCXhWlc/Y8YMl5lXgz6tHVezuPikT5/e6tev7x79+/d3kwZff/21y+QrcFSmXqX+cdF69uuuu84eeuihkGx3YipXrmxvvPGG/fXXXwlm9c8HVRloqYB6D6jUPlw6d9OmTXOTAzpHsamBoSYs1H8grtJ9r4JBDQs9KpNRQ0Kdt+Bzqucq3wcAAACASKIZXwqkkvtOnTq5gF3l6rq93KJFi9y6eZXLq+Gb1u97zfjU5G706NHuvd9++8013lPWXNUBys4rW68GfGpUpwBe2f8xY8a4516wq0Z1Wse+YcMG15RO1QCJUbd9dcZX53sFucqOK6hevHjxOZ8DVTVobb+OVRUHKotXp/xXXnklyZMmmojQWHVMOn4dp3oaKHhXN3ydX/UO0HnT+1o+8eabbwa6/2siwGvip/Uw0qNHD1cloMaIWuuvpns6/0lZjw8AAAAAyYGMfgqlIH7kyJGuE746xKtb/VNPPeVusafgv2TJkq68X5S9Vzd4lesfPXrUBe7vv/++VahQwb0/ePBglwVXlYCCcW2vTLfXSE7LAtRsTvtTab2CYmX3Z8+eneAYle3WUoEnnnjCbr31Vjt58qSVL1/erfc/V5qk0Fi0tl69B26++Wa3dl0TC0nhZd4VzGsfWo+vfgbqY5A27f/muTSxoWy/ljxo7b1K+tXhX/S6JlF0RwO9r/OvJRJaRqGgX8euSQkdt+48oHMPAAAAAJFE130gFXTWpOs+AAAAcHE7mISu+5TuAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgIwT6AAAAAAD4SPpIDwBA4kr2HGXR0dGRHgYAAACAVICMPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD6SPtIDAJC40dXHWlS6qEgPAwAA4KLVfW23SA8BCBsZfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQx3kzYMAAu+KKKy7496ZJk8ZmzpyZ7N8zadIky5kzZ7J/DwAAAACcCwL9C2z+/PkuMPUel156qd166632888/28Xq9ddftypVqli2bNlcIF21alUbMmRI2J/ftWuXNWzY8LyOqVixYvbSSy+FvNayZUvbsGFDWJ9nUgAAAABApKSP9AAuVuvXr7fo6GjbuXOn9ejRw2677TbbtGmTZcyY0VKi48ePJ8vYJkyYYF27drXRo0db7dq17dixY/bTTz/ZL7/8EvY+8uXLZxdC5syZ3QMAAAAAUjIy+hFy2WWXuQC1WrVqLtDdvn27rVu3LvD+ggUL7IYbbnCBZeHChe3RRx+1f/75J/D+uHHjrHTp0hYVFWV58+a15s2bB947ffq0y4gXL17cfV7Z8qlTpwbeP3XqlHXo0CHwftmyZW3UqFEh42vXrp01btzYnn32WStQoIDbRnbs2GGtW7e2XLlyWdasWa169eq2ZMmSkM++/fbbLiOeI0cOa9WqlR06dCje8/DJJ59YixYt3HhKlSplFSpUcPvX98aeENB7mTJlsvz589sjjzwSb+m+zqX2qYy6xnnnnXfa1q1bzzi24cOHu33lzp3bHn74YTtx4oR7/8Ybb7TffvvNHn/88UDlRVxZ+h9//NHq1Klj2bNnd5M2V155pS1fvtxVbbRv394OHDgQ+LyWNQAAAADAhUCgH2EKBqdMmeJ+9jLmmzdvtltuucWaNWvmstsffPCBC/y94FbBpAL/QYMGucqAOXPmWK1atQL7VJD/1ltv2auvvmqrV692Aes999xj33zzTWAioFChQvbRRx/ZmjVrrF+/ftanTx/78MMPQ8b21Vdfuf3PnTvXZs2aZYcPH3ZZ999//90F6Ap0n3zySbc/j8auoFvb66HvHDp0aLzHr8mO77//3gXW8XnllVdcIN65c2e3xEHfrUmBuChYb9CggQu+v/vuO1u4cKFbEqDzqaoEz7x589xY9efkyZNdEK+HTJ8+3Z0fnV8tC9AjLm3atHHbLVu2zFasWGG9evWyDBky2HXXXefK/hX8e5/v3r27hUMVDQcPHgx5AAAAAEBSULofIQoQxcvS33HHHXb55ZcHAnUFkcr0izL3Xmm7gt5t27a5bPrtt9/uAtqiRYu6de1eoPjcc8/Zl19+addee617rUSJEm6iYPz48W4fCkYHDhwYGIsy+4sXL3aBvjLhHn3HG2+8EZiAeO2112zPnj0usFWmXGIH3Ar6FTBrXHLvvfe6CYPYGXpP//79rWnTpq4CoEyZMm7M6lmgCoW0af83D/XMM8/YE088YY899ljgczVq1Ihzf5oU0Rg0bi8TP3HiRJeJV6b95ptvdq9dcsklNnbsWEuXLp0771o6oXF26tTJHZte1zEktCxA10HLLrzrpuvkUTWDvj+pywp07YOvjee2uzZatqiUuawDF17pvuMjPQQAAACkYGT0I0TZZmWBFRQrwFX23aNMuV5XJtp7KEutAHbLli120003ueBeAbwC6XfffdeOHDniPqt1/vpZ2wR/Xhl+ZbA9L7/8sis1VzNAva8gXoFrsEqVKoWsy1+1apWbUPCC/LgoYPeCfFFp/O7du+PdXu9rkkGZegXyJ0+etLZt27oMvI5Xn1Ufg3r16oV1XnXudA40Bu/YNd6jR4+GHL+WASiYD3eccenWrZt17NjR6tev76oWgvd/tnr37u2qPLyHliEAAAAAQFKQ0Y8QZdGVZdbadwWY6uj+7bffuvdUIv/AAw+48vzYihQp4oLvlStXugz1F1984UrvtQZcmXZ9Vj799FMrWLBgyGe1vl20VECl5CNGjHAZdAXFL7zwwhlr7ZXRDxZOIzpVCwRTVju4tD8+FStWdI+HHnrIunTp4voTqOxfPQCSQsevCQxNfsSmSY1zHWcwnfO7777bnevZs2e76gSd2yZNmtjZ0jXyrhMAAAAAnA0C/RRA689Vsj1jxgwXJKpBn9bOx7cOXdKnT+8yyXoowNSkwddff+0y+QoUlZ1XmX5ctG5d68gVVHvCyUZXrlzZlcT/9ddfCWb1z1X58uUDyxo0CaEqAZXVq/FdYnTuVL6vZodaI3+2NJmipoWJUTWGHuqDoCaCWiagaxju5wEAAADgfKN0PwXIkiWLWxuugD0mJsZ69uxpixYtcs33VC6/ceNG+/jjjwPN+NTkTmv29Z6a2KksX9loVQcoMFa2XoGnmswpgFf2f8yYMe65t5ZcDf0+//xzd1/4vn37umqAxCiQ1ZpzdazXZMGvv/5q06ZNc6X3Z+vBBx+0wYMHu/3pWNSY77777nPZd6/HgDLnqj7QMetceMcTF/U2yJMnj+u0r+URWuqgygdVR+iOAeHS5IIqLNR4cO/evWe8/++//7rroX1r3Bq/zmG5cuUCn1d1gSYo9HlvaQUAAAAAJDcC/RRCQePatWtdJ3xlzlW2riBcJexaF6/yfN3mTpS9V2f4unXrusBS6/vff/99t+5cFDgreFeVgN7XeneVl2u5gGhZgBrgabnA1Vdfbfv27QvJ7sdHWWotFVC2XA3ztIZfa9OD17onlSoSFNzfddddLjOuOw3oloEKkHXbO9GafXWx1y0FdYxqQqiAP75JEwXoWuKgY9Tx69Z9WqOflAy/Ou7rlnwlS5YMKfn36Jh13jQpoXGriWHDhg0DjfRUMaElCDrH+vywYcPO+hwBAAAAQFKkiVEKGUCKpNvrqYP/yj7t6LqPALruAwAAXLyxwYEDBxJNYpLRBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwkfSRHgCAxJXsOcqio6MjPQwAAAAAqQAZfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHwkfaQHACBxo6uPtah0UZEeBgAAAHDR6L62m6VWZPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0IelSZPGZs6cGelhpDhbt25152bVqlWRHgoAAAAAhI1AP5V7/fXXrUqVKpYtWzbLmTOnVa1a1YYMGWIpiYLluB5TpkyxlKJdu3bWuHHjkNcKFy5su3btsooVK0ZsXAAAAACQVOmT/AmkGBMmTLCuXbva6NGjrXbt2nbs2DH76aef7JdffrGUZuLEiXbLLbeEvKaJiZQsXbp0li9fvkgPAwAAAACShIx+KvbJJ59YixYtrEOHDlaqVCmrUKGCtW7d2p599tnANsuWLbObbrrJ8uTJYzly5HATAitXrkxwv9u3b3f7VSCeK1cuu/POO10Zu2f+/Pl21VVXWdasWd02NWvWtN9++y3BfWo7Bc3Bj6ioKPfe/fffb5UrV3YTFXL8+HFXmXDfffcFPv/xxx9btWrV3GdKlChhAwcOtJMnTwbe379/vz3wwAOWN29et42y8LNmzXLvDRgwwK644oqQ8bz00ktWrFixwPuTJ0923+FVG+gYg0v3T58+bYUKFbJXXnklZD8//PCDpU2bNnD8GkfHjh3t0ksvtejoaKtbt679+OOPCZ4bAAAAADifCPRTMQXL33//fYJB9qFDh6xt27a2YMECt23p0qXt1ltvda/H5cSJE9agQQPLnj27fffdd7Zw4UK3LEDZeAXgCq5V4q4JA1UPLF682Dp37uwC4rOlioR//vnHevXq5Z4/9dRTLmAeO3ase65xKOh/7LHHbM2aNTZ+/HibNGlSYEJDQXjDhg3dWN955x23zdChQ11GPhzdu3d3Exs6RpXq63HdddeFbKNgXpMo7733Xsjr7777rpvoKFq0qHt+11132e7du2327Nm2YsUKNzlRr149++uvv8IaiyY7Dh48GPIAAAAAgKSgdD8V69+/vzVt2tRlpsuUKWPXXnutC+KbN2/uAlNRRjnYa6+95rLr33zzjd1+++1n7PODDz5wgfMbb7wRCN5Vdq/PKMtdvXp1O3DggPtsyZIl3fvlypVLdKwKkmMH3grIixQp4iYSFKBr8kATDMq2z5s3z2XERdl7TQJowkKU0R88eLA9+eST7hx8+eWXtnTpUlu7dq07D9424dL3Z86c2QXZCZXqt2nTxkaMGGHbtm1z49Z5Up+Bp59+2r2vyRSNQ4F+pkyZ3GvDhw93jQ6nTp3qJkQSo/4KOt7Ybrtro2WLyhj2MeHiU7rv+EgPAQAAACkEGf1ULH/+/C6j/vPPP7tst7LtCoaVmVYQKn/++ad16tTJZfJVuq/g+fDhwy5YjYvKzDdt2uQCbgXAeqh8/+jRo7Z582b3sxrXKevfqFEjGzVqlMuAJ+bFF190JfDBjwIFCgTe1ySFMusK4J944gm7/vrrQ8Y0aNCgwHj00DHpe48cOeL2pbJ6L8hPLir/16SGl9XXZImCemXxvXHq3ObOnTtkrFu2bHHnLhy9e/d2EyneQ8soAAAAACApyOj7gNaj6/HQQw9Zly5d7IYbbnBBaJ06dVzgv2/fPheQq7xcmWYF1SrDj4sC1SuvvNKVpMemdedehv/RRx+1OXPmuAoAZbTnzp1r11xzTbxjVKZcfQTio4kJld4r66+JhthjUpZb1QuxaT2+svEJUXVDTEzMGUsUzoay+gr0VWGgPzWposDeG6cmX1T5EFu4jQd1fbxqAAAAAAA4GwT6PlO+fHn3p9a8i4LncePGuZJ+UYZ479698X5ea8oVvF922WWB0vm4qFmeHspAa+JAQW9CgX5iXnjhBVu3bp2boFC1gCYT2rdvHxjT+vXr450oUCO/HTt22IYNG+LM6muC4o8//nDBvrccQVUAwTJmzGinTp1KdJx33323m9jQ+nuV47/66quB9zROfU/69OkDjf4AAAAA4EKjdD8Ve/DBB12pu4J5NeRTsz01rVNgq+BbVLL/9ttvu/XrS5YscRnphDLgel8d+tVpX03wVHauDLUy+Aqm9VzBvZYM6Du/+OIL27hxY6Lr9NVcT0Fw8MObjFDn+n79+rm+AGpsN3LkSLcU4ddff3Xv67233nrLZfVXr17tjiV4bbzW9teqVcuaNWvmKgs0RjXDU8WB3HjjjbZnzx4bNmyYK6F/+eWX3fvBFJiruaAmFDQREl/GX9upUZ/udKCJgTvuuCPwXv369d15V7NCnRd17V+0aJFrLrh8+fIwryoAAAAAnBsC/VRMgaWCe60RVyZbga5K2b/66qtAOfmbb75pf//9t8s233vvvS5gV7Y+PlmyZLFvv/3WNZtTqbwCeAW1WqOvDL/eV+Zd36XvVIO5hx9+2N3aLiHKzqusPfgxZswYt9977rnHrfvXmn/RPrXsQONVMK0Mv26Vp+C5Ro0arnJAa/69Tvcybdo0956a/qmqQY36vAy9jkFVDQrwq1Sp4hrmqR9AMK35L1u2rGs2qIkSTZ4kNBmi9fhNmjQJmTRRtcBnn33mJh10vDo/rVq1chMiuu0fAAAAAFwIaWJiL14GkGLo9npqoriyTzu67iNBdN0HAAC4OGKDAwcOJLjMWsjoAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgI+kjPQAAiSvZc5RFR0dHehgAAAAAUgEy+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgIwT6AAAAAAD4CIE+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD6SPtIDAJC40dXHWlS6qEgPAwjovrZbpIcAAACAeJDRBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMBHCPQBAAAAAPARAn0AAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQL9CyxNmjQ2c+bMSA8DYbrxxhuta9eukR4GAAAAAISNQD8JXn/9datSpYply5bNcubMaVWrVrUhQ4ZYSptI8B7R0dFWo0YN+/jjj+1iMWnSJHdtkmr+/PnunO3fvz/k9enTp9vgwYPP4wgBAAAAIHkR6IdpwoQJLrP76KOP2qpVq2zhwoX25JNP2uHDhy2lmThxou3atcuWL19uNWvWtObNm9vPP/+crN95/Phx86NcuXJZ9uzZIz0MAAAAAAgbgX6YPvnkE2vRooV16NDBSpUqZRUqVLDWrVvbs88+G9hm2bJldtNNN1mePHksR44cVrt2bVu5cmWC+92+fbvbr7LQCirvvPNO27p1a0im+aqrrrKsWbO6bRS4//bbbwnuU9vly5fPypQp47LRJ0+etHnz5oX9ne3atbPGjRvbwIED7dJLL3WVAV26dAkJ5lXS/sgjj7jJDx1vgwYN3Ou//PKLNWzY0FU95M2b1+69917bu3dv4HNTp061SpUqWebMmS137txWv359++effwLvv/HGG1auXDmLioqyyy+/3MaNGxd4T2NU1l1Z9jp16liWLFlchcXixYsD56p9+/Z24MCBQFXDgAED3Htvv/22Va9e3QXtOjd333237d69O7Bf7U8uueQS9zmdg9il+3369LGrr776jPOtMQwaNCisYwAAAACA5EagHyYFh99//32CQfahQ4esbdu2tmDBArdt6dKl7dZbb3Wvx+XEiRMuQFbw+d1337kqAQXIt9xyiwuqFaAr4NaEwU8//eQC2s6dO7tANBz6/Jtvvul+zpgxY1jf6fnqq69s7dq1Lnh+//33XXCtwD/Y5MmT3X61j1dffdWVvdetW9ctaVA1wZw5c+zPP/90kwqiKgNNjtx///2BfTdt2tRiYmLc+++++67169fPTZ7o/eeee8769u3rvifYU089Zd27d3eVFZrM0D51rNddd5299NJLbmJC36WHtvOOW5MeP/74o+uRoODeC+YLFy5s06ZNcz+vX7/efW7UqFFnnM82bdrY0qVLbfPmzYHXVq9e7a6NJg6ScgzxOXbsmB08eDDkAQAAAABJkSbGi7KQIAV/CkoVwCu4vPbaa10Qr7L4tGnjni85ffq0y5q/9957dvvtt7vXFKTPmDHDBfDvvPOOPfPMMy4g9IJ3Bdv6jIJRZaCV9VZArGA/HNqPMsnp0qWzf//9142hWLFitmLFCpe9T+w7b775ZhcA//e//3WZf2XNRYF8jx49XLZcx6tMt4LQ4IoF7VeTB59//nngtR07drhAWgG0ljlceeWVLsguWrToGWNXpYSCcQXuwfv87LPPbNGiRe5zxYsXdxlzVVbImjVrXHWFjkfZc63RVwY+9lr72DQRof4FmoTRRIfOsbL6f//9d8gafx3nFVdc4SYQRD83a9bMBe9elv/rr792fy/COYbEqAIh9oSKrOzTzrJF/W+yJrUp3Xd8pIcAAAAApHqKv1Q5rphMyc2EkNEPU/78+V1GXWvdH3vsMZdBVvZemXAF06LsdadOnVwmXxdAJ1/B7bZt2+Lcp7LLmzZtctl1BZt6KBg/evSoyxrrZwXdysA3atTIZZk14ZCYF1980WW7Z8+ebeXLl3eBsfYVzncGl6N7Qb5oYkPHouDfo6A99vFoiYC3Xz0UfIv2rX3Wq1fPle7fddddrrmhAmtR+b62UQAf/HkFycHjksqVK4dcF/HK8OOjiQ6dwyJFirhj9yZO4rs28VFWXxM3ojkyVTvotaQeQ3x69+7tfnG9R/D5BgAAAIBwpA9rKwRUrFjRPR566CG3bv2GG26wb775xmWDFfjv27fPBeTKWGfKlMkFyPE1qvMy3Cr3jk1r473GemoAqDL4Dz74wJ5++mmbO3euXXPNNQkuM1BmWQ99XpUHynxfdtllYX1nuNQ3IPbxKJh+/vnnz9hWAbmqDDR2Zba/+OILGzNmjCvDX7JkSWBSQcF/7HXw+lywDBkyBH72qhK8yZa4KADXZIkeOm4dpwJ8PU9qE0Fl6nv27OkqGVQxoUC8ZcuWgeMP9xjio78zegAAAADA2SLQPwfKlovXTE5r1dV4TYG1KAgMbkQXW7Vq1VzwrgA8odILrXnXQ9leTRwoo5xQoB9MjfwU2GvNuCYgwv1OZecVyKppnqg0XdlpleEndDxa666lAunTx/1XS4G5GgrqobXsmhDRUoZu3bpZgQIF7Ndffw1kyM+GegacOnUq5LV169a5CZihQ4cGxq/S/difk9ifja1QoUKuGkATBjo/ar6ocylqPng+jgEAAAAAzgWl+2F68MEH3dprBfNqyKfA97777nPZYQXfopJ9dXfXenFlqRXseYFyXPS+Otar673Wtm/ZssWtFVcGX2vb9VzBvZYM6DuVBd+4caPr6J4UWrM+fvx4+/333xP9To8y3SpBVyWA1pf379/fddmPrx+BPPzww/bXX3+5rLfuQKByda3XVyd8BdA6J2pOpyBbGXU1+NuzZ0/geLQ2fciQITZ69GjbsGGDWyahioSRI0eGfayaZFBmXc0ENcly5MgRV66vQF4VBArCdQcFXctgmnDQJMSsWbPcmBK6baLO4ZQpU+yjjz46I6A/H8cAAAAAAOeCQD9Mug2cgnutLVczPjVkU9M7BZRqmCfqcK8158ps67ZyCp69bG9cVK7+7bffukBUjf4U8Cq41np5Zdv1vrLR+i59pzruK5h+4IEHkjR29RFQEztl9RP7To/W0mviolatWq40/Y477gjcqi4+ymZrIkRBvZr6aS2+JhnU3E4TBNq/vlsVDzoeLUMYMWKEux2fdOzY0fUTUGCszypzruZ6Gnu41HlfSyo0Zk3CDBs2zP2p/SgwVxWGMvvDhw8P+VzBggVdkN6rVy+XmdekRnzUgFEVAppEUFPFYOfjGAAAAADgXNB1H2dQA0B1rVcXfqSMzpp03QcAAAAubgfpug8AAAAAwMWJQB8AAAAAAB+h6z7OoDXlAAAAAIDUiYw+AAAAAAA+QqAPAAAAAICPEOgDAAAAAOAjBPoAAAAAAPgIgT4AAAAAAD5CoA8AAAAAgI8Q6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAwAAAADgI+kjPQAAiSvZc5RFR0dHehgAAAAAUgEy+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAj7BGH0jBYmJi3J8HDx6M9FAAAAAARJAXE3gxQkII9IEUbN++fe7PwoULR3ooAAAAAFKAQ4cOWY4cORLchkAfSMFy5crl/ty2bVuiv8xIfTOymsDZvn07d1TwGa6tP3Fd/Ytr619cW3+6mK9rTEyMC/ILFCiQ6LYE+kAKljbt/9poKMi/2P4hu1jounJt/Ylr609cV//i2voX19afLtbrmiPM5B/N+AAAAAAA8BECfQAAAAAAfIRAH0jBMmXKZP3793d/wl+4tv7FtfUnrqt/cW39i2vrT1zX8KSJCac3PwAAAAAASBXI6AMAAAAA4CME+gAAAAAA+AiBPgAAAAAAPkKgDwAAAACAjxDoAynYyy+/bMWKFbOoqCi7+uqrbenSpZEeEpJgwIABliZNmpDH5ZdfHnj/6NGj9vDDD1vu3LktW7Zs1qxZM/vzzz8jOmbE7dtvv7VGjRpZgQIF3HWcOXNmyPvqa9uvXz/Lnz+/Zc6c2erXr28bN24M2eavv/6yNm3aWHR0tOXMmdM6dOhghw8fvsBHgqRe23bt2p3xe3zLLbeEbMO1TXmGDBliNWrUsOzZs9tll11mjRs3tvXr14dsE86/wdu2bbPbbrvNsmTJ4vbTo0cPO3ny5AU+GiTlut54441n/M526dIlZBuua8rzyiuvWOXKld2/o3pce+21Nnv27MD7/L4mHYE+kEJ98MEH1q1bN3f7kJUrV1qVKlWsQYMGtnv37kgPDUlQoUIF27VrV+CxYMGCwHuPP/64/fe//7WPPvrIvvnmG9u5c6c1bdo0ouNF3P755x/3O6jJt7gMGzbMRo8eba+++qotWbLEsmbN6n5f9R8mHgWCq1evtrlz59qsWbNcgNm5c+cLeBQ4m2srCuyDf4/ff//9kPe5timP/k1VUPD999+763LixAm7+eab3fUO99/gU6dOuaDh+PHjtmjRIps8ebJNmjTJTeohMsK5rtKpU6eQ31n9G+3huqZMhQoVsqFDh9qKFSts+fLlVrduXbvzzjvdv63C7+tZ0O31AKQ8V111VczDDz8ceH7q1KmYAgUKxAwZMiSi40L4+vfvH1OlSpU439u/f39MhgwZYj766KPAa2vXrtXtTmMWL158AUeJpNI1mjFjRuD56dOnY/LlyxfzwgsvhFzfTJkyxbz//vvu+Zo1a9znli1bFthm9uzZMWnSpIn5/fffL/ARINxrK23bto2588474/0M1zZ12L17t7tO33zzTdj/Bn/22WcxadOmjfnjjz8C27zyyisx0dHRMceOHYvAUSCx6yq1a9eOeeyxx+L9DNc19bjkkkti3njjDX5fzxIZfSAF0mykZjRV/utJmzate7548eKIjg1Jo/JtlQSXKFHCZf1UVia6vspEBF9jlfUXKVKEa5zKbNmyxf7444+Qa5kjRw633Ma7lvpTJd3Vq1cPbKPt9XutCgCkbPPnz3dloGXLlrUHH3zQ9u3bF3iPa5s6HDhwwP2ZK1eusP8N1p+VKlWyvHnzBrZRpc7BgwcDWUakrOvqeffddy1PnjxWsWJF6927tx05ciTwHtc15VN2fsqUKa5SQyX8/L6enfRn+TkAyWjv3r3uH7ngf6xEz9etWxexcSFpFOipbEzBgUoHBw4caDfccIP98ssvLjDMmDGjCxBiX2O9h9TDu15x/b567+lPBYrB0qdP7/7jlOudsqlsX+WhxYsXt82bN1ufPn2sYcOG7j8q06VLx7VNBU6fPm1du3a1mjVrusBPwvk3WH/G9XvtvYeUd13l7rvvtqJFi7pJ9p9++sl69uzp1vFPnz7dvc91Tbl+/vlnF9hr2ZvW4c+YMcPKly9vq1at4vf1LBDoA0AyUTDgUYMZBf76j48PP/zQNWwDkPK1atUq8LOyRfpdLlmypMvy16tXL6JjQ3i0plsTrME9UuDf6xrcH0O/s2qSqt9VTdTpdxcplxIjCupVqTF16lRr27atW4+Ps0PpPpACqdxMmaLY3UT1PF++fBEbF86NZqLLlCljmzZtctdRSzT2798fsg3XOPXxrldCv6/6M3YjTXUCVrd2rnfqomU4+jdav8fCtU3ZHnnkEdcgcd68ea7Zlyecf4P1Z1y/1957SHnXNS6aZJfg31mua8qkrH2pUqXsyiuvdHdYUKPUUaNG8ft6lgj0gRT6D53+kfvqq69CStT0XCVNSJ10uy1lFJRd0PXNkCFDyDVWaaHW8HONUxeVdOs/IoKvpdYEan22dy31p/4DResMPV9//bX7vfb+IxSpw44dO9waff0eC9c2ZVJvRQWDKv3V9dDvabBw/g3WnyolDp7IUad33fpL5cRIedc1LsoQS/DvLNc1ddC/o8eOHeP39WydbRc/AMlrypQprmv3pEmTXFfnzp07x+TMmTOkmyhStieeeCJm/vz5MVu2bIlZuHBhTP369WPy5MnjugRLly5dYooUKRLz9ddfxyxfvjzm2muvdQ+kPIcOHYr54Ycf3EP/1zly5Ej382+//ebeHzp0qPv9/Pjjj2N++ukn16W9ePHiMf/++29gH7fccktM1apVY5YsWRKzYMGCmNKlS8e0bt06gkeFxK6t3uvevbvr6qzf4y+//DKmWrVq7todPXo0sA+ubcrz4IMPxuTIkcP9G7xr167A48iRI4FtEvs3+OTJkzEVK1aMufnmm2NWrVoVM2fOnJhLL700pnfv3hE6KiR2XTdt2hQzaNAgdz31O6t/k0uUKBFTq1atwD64rilTr1693N0TdN30/6N6rruXfPHFF+59fl+TjkAfSMHGjBnj/lHLmDGju93e999/H+khIQlatmwZkz9/fnf9ChYs6J7rP0I8CgIfeughd/uYLFmyxDRp0sT9BwtSnnnz5rkgMPZDt17zbrHXt2/fmLx587oJunr16sWsX78+ZB/79u1zwV+2bNnc7X7at2/vAkmk3Gur4EH/0aj/WNStnYoWLRrTqVOnMyZcubYpT1zXVI+JEycm6d/grVu3xjRs2DAmc+bMbqJWE7gnTpyIwBEhnOu6bds2F9TnypXL/VtcqlSpmB49esQcOHAgZD9c15Tn/vvvd//G6r+Z9G+u/n/UC/KF39ekS6P/OetyAAAAAAAAkKKwRh8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAXpXbt2lnjxo3PeH3+/PmWJk0a279/v6U0xYoVc2OL/Rg6dGjY+9D2M2fOTNZxAgAiK32Evx8AAMB3jh8/bhkzZkyWfQ8aNMg6deoU8lr27NlTzfgBAMmPjD4AAEAipk2bZhUqVLBMmTK5rPqIESNC3tdrgwcPtvvuu8+io6Otc+fO7vWePXtamTJlLEuWLFaiRAnr27evnThxIvC5H3/80erUqeMCdX3uyiuvtOXLlyc4Fm2bL1++kEfWrFkDkwAFChSwffv2Bba/7bbb3HecPn3ajVOaNGniMvve8wEDBtgVV1xhb7zxhhUvXtyioqLc63PmzLHrr7/ecubMablz57bbb7/dNm/eHDIh8Mgjj1j+/PndZ4oWLWpDhgw5D2ccAHAuCPQBAAASsGLFCmvRooW1atXKfv75ZxcUK2CfNGlSyHbDhw+3KlWq2A8//ODe94JybbdmzRobNWqUvf766/biiy8GPtOmTRsrVKiQLVu2zH1Pr169LEOGDGc91qeeesoF7x07dnTPX375ZVu0aJFNnjzZ0qZN675HJk6caLt27Qo8l02bNrkJjenTp9uqVavca//8849169bNTT589dVXbh+aJNCkgYwePdo++eQT+/DDD239+vX27rvvBiYPAACRkyYmJiYmgt8PAAAQsTX677zzTiB77Tl16pQdPXrU/v77b5fJVjC+Z88e++KLLwLbPPnkk/bpp5/a6tWr3XMFt1WrVrUZM2Yk+J2aDJgyZUoga68s/pgxY6xt27ZhjVnfowA99mTA7Nmz7YYbbnA///rrry47/9BDD7lAXFn6u+++O7CtMvkaZ3B/Ak1ePPfcc/b777/bpZdeGu/37927172vCY+KFSvao48+6s7Bl19+6fYLAEgZyOgDAICLlkralb0OfigwDrZ27VqrWbNmyGt6vnHjRjcp4KlevfoZ+//ggw/ctiqvz5Ytmz399NO2bdu2wPvKliv7Xr9+fddQL7gsPj49evQ4Y8zB360lAppQeP755+2OO+4ICfITorL72EG+jrF169Zun5qU8LL13jFoskTfX7ZsWRf0B0+GAAAih0AfAABctLS2vVSpUiGPggULnvW+gi1evNhVA9x66602a9YsV9Kv0nqtaw/OpCsjrnX0X3/9tZUvXz7RqoA8efKcMebMmTOHbPPtt99aunTpbOvWrXby5MmzGr80atTI/vrrL7fkYMmSJe4h3jFUq1bNtmzZ4voT/Pvvv26JQ/PmzcP6PgBA8iHQBwAASEC5cuVs4cKFIa/puZrsKZiOj9bGK0uu4F4Z99KlS9tvv/12xnbaz+OPP+6y4U2bNnXr58+Fqgi0zl63CVTmXUF4MJX9B1cixEcN/bTuXlUI9erVc+dByxliU6a/ZcuWbjJA3611/pocAABEDrfXAwAASMATTzxhNWrUcAGzAlpl6seOHWvjxo1L8HMK7BVoa02+Pq81/cHZemXAVYavDLg63e/YscM1x2vWrFmC+z106JD98ccfIa+pq78Cbu3jwQcfdGX76pavSQN1ym/YsKFdc801bluV36uxnpYU6C4Cl1xySZzfo9fVaf+1115zXfV1LGoWGGzkyJHuPfUnUKO+jz76yC1TUG8DAEDkkNEHAABIgMrT1VVeAbsa0PXr18/dxk7r0xOi9fHK1Ov2c2qOpwy/141fVA2grLluyaesvsreFZAPHDgwwf3q+xVcBz/UHFD9lTWmq666yn2nNGjQwAX+99xzjx0+fNi9plsDzp071woXLuwC9PgocNcx624AOm4dywsvvBCyje4qMGzYMFexoMkMLRX47LPP3GcBAJFD130AAAAAAHyE6VYAAAAAAHyEQB8AAAAAAB8h0AcAAAAAwEcI9AEAAAAA8BECfQAAAAAAfIRAHwAAAAAAHyHQBwAAAADARwj0AQAAAADwEQJ9AAAAAAB8hEAfAAAAAAAfIdAHAAAAAMD84/8B4fyTnv5FIsUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Group by 'jobrole' and count the occurrences of 'overtime'\n",
    "horas_extras_por_rol = dataset.groupby(['jobrole', 'overtime']).size().reset_index(name='count')\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x='count',\n",
    "            y='jobrole',\n",
    "            hue='overtime',\n",
    "            data=horas_extras_por_rol,\n",
    "            palette='plasma')\n",
    "plt.title('Distribucion por rol')\n",
    "plt.xlabel('Horas Extras')\n",
    "plt.ylabel('Rol')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.YearsAtCompany vs. YearsSinceLastPromotion: Identificar si los empleados permanecen más tiempo en la empresa sin recibir promociones. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='yearsatcompany', y='yearssincelastpromotion', data=dataset)\n",
    "\n",
    "plt.title('Relación entre Años en la Empresa y Años desde la Última Promoción')\n",
    "plt.xlabel('Años en la Empresa')\n",
    "plt.ylabel('Años desde la Última Promoción')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2.YearsInCurrentRole vs. JobSatisfaction: Analizar si la duración en un rol afecta la satisfacción laboral."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Agrupar los datos en rangos de años en el rol actual\n",
    "dataset['rango_años_rol'] = pd.cut(dataset['yearssincelastpromotion'], bins=[0, 2, 5, 10])\n",
    "\n",
    "# Histograma para cada rango de años en el rol\n",
    "sns.histplot(data=dataset, x='jobsatisfaction', hue='rango_años_rol', multiple='dodge')\n",
    "plt.title('Satisfacción Laboral por Años en el Rol Actual')\n",
    "plt.xlabel('Satisfacción Laboral')\n",
    "plt.ylabel('Número de Empleados')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.TotalWorkingYears vs. PerformanceRating: Evaluar si más experiencia se traduce en mejor rendimiento. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset['rango_años_experiencia'] = pd.cut(dataset['totalworkingyears'], bins=[0, 5, 10, 15, 20])\n",
    "\n",
    "# Histograma para cada rango de años de experiencia\n",
    "sns.histplot(data=dataset, x='performancerating', hue='rango_años_experiencia', multiple='dodge')\n",
    "plt.title('Rendimiento por Años de Experiencia Total')\n",
    "plt.xlabel('Evaluación del Rendimiento')\n",
    "plt.ylabel('Número de Empleados')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**DEMOGRAFÍA Y ESTADO CIVIL**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1.Gender vs. Salary: Evaluar posibles disparidades salariales según género"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#horas_extras_por_rol = dataset.groupby(['jobrole', 'overtime']).size().reset_index(name='count')\n",
    "df_distribution = dataset.groupby(['gender', 'jobrole'])['monthlyincome'].nunique().reset_index(name=\"employeenumber\")\n",
    "df_distribution = df_distribution.sort_values(by=\"gender\", ascending=False)\n",
    "\n",
    "# Creamos un gráfico de barras apiladas\n",
    "fig, axes = plt.subplots(1, 1, figsize=(10, 6))\n",
    "\n",
    "# Introducimos los datos en el gráfico de barras apiladas\n",
    "sns.barplot(x=\"jobrole\", \n",
    "            y=\"monthlyincome\", \n",
    "            hue=\"gender\", \n",
    "            data=dataset, \n",
    "            ax=axes, \n",
    "            palette=\"mako\")\n",
    "\n",
    "# Añadimos título y etiquetas\n",
    "plt.title(\"Salario por género\")\n",
    "plt.xlabel(\"Puesto de trabajo\")\n",
    "plt.ylabel(\"Salario\")\n",
    "plt.legend(title=\"Genre\")\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "# Mostramos el gráfico\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "2. Age vs. Role/Departament: Visualizar la distribución de edades según departamentos y roles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico de barras agrupadas\n",
    "ax = sns.barplot(x='department', y='age', hue='jobrole', data=dataset, palette='pastel')\n",
    "\n",
    "plt.title('Distribución de Edades por Departamento y Rol')\n",
    "plt.xlabel('Departamento')\n",
    "plt.ylabel('Edad')\n",
    "\n",
    "# Agregar leyenda fuera del gráfico\n",
    "plt.legend(title=\"Rol\", bbox_to_anchor=(1, 0.75), loc='upper left')\n",
    "# Ajustar el tamaño del gráfico\n",
    "plt.figure(figsize=(12, 6))  # Ajusta el tamaño según necesites\n",
    "\n",
    "\n",
    "\n",
    "# Ajustar el layout para que no se recorten elementos\n",
    "plt.tight_layout()\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}