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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Load the data set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<>:1: SyntaxWarning: invalid escape sequence '\\e'\n",
+      "<>:1: SyntaxWarning: invalid escape sequence '\\e'\n",
+      "C:\\Users\\crvid\\AppData\\Local\\Temp\\ipykernel_31944\\3808636074.py:1: SyntaxWarning: invalid escape sequence '\\e'\n",
+      "  employee = pd.read_csv(\"dataset\\employee.csv\")\n"
+     ]
+    }
+   ],
+   "source": [
+    "employee = pd.read_csv(\"dataset\\employee.csv\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 1. Exploratory Data Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "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>Employee_ID</th>\n",
+       "      <th>Department</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Job_Title</th>\n",
+       "      <th>Hire_Date</th>\n",
+       "      <th>Years_At_Company</th>\n",
+       "      <th>Education_Level</th>\n",
+       "      <th>Performance_Score</th>\n",
+       "      <th>Monthly_Salary</th>\n",
+       "      <th>Work_Hours_Per_Week</th>\n",
+       "      <th>Projects_Handled</th>\n",
+       "      <th>Overtime_Hours</th>\n",
+       "      <th>Sick_Days</th>\n",
+       "      <th>Remote_Work_Frequency</th>\n",
+       "      <th>Team_Size</th>\n",
+       "      <th>Training_Hours</th>\n",
+       "      <th>Promotions</th>\n",
+       "      <th>Employee_Satisfaction_Score</th>\n",
+       "      <th>Resigned</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>55</td>\n",
+       "      <td>Specialist</td>\n",
+       "      <td>2022-01-19 08:03:05.556036</td>\n",
+       "      <td>2</td>\n",
+       "      <td>High School</td>\n",
+       "      <td>5</td>\n",
+       "      <td>6750.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>32</td>\n",
+       "      <td>22</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>66</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.63</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Finance</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>29</td>\n",
+       "      <td>Developer</td>\n",
+       "      <td>2024-04-18 08:03:05.556036</td>\n",
+       "      <td>0</td>\n",
+       "      <td>High School</td>\n",
+       "      <td>5</td>\n",
+       "      <td>7500.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>34</td>\n",
+       "      <td>13</td>\n",
+       "      <td>14</td>\n",
+       "      <td>100</td>\n",
+       "      <td>12</td>\n",
+       "      <td>61</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1.72</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Finance</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>55</td>\n",
+       "      <td>Specialist</td>\n",
+       "      <td>2015-10-26 08:03:05.556036</td>\n",
+       "      <td>8</td>\n",
+       "      <td>High School</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5850.0</td>\n",
+       "      <td>37</td>\n",
+       "      <td>27</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.17</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Customer Support</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>48</td>\n",
+       "      <td>Analyst</td>\n",
+       "      <td>2016-10-22 08:03:05.556036</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4800.0</td>\n",
+       "      <td>52</td>\n",
+       "      <td>10</td>\n",
+       "      <td>28</td>\n",
+       "      <td>12</td>\n",
+       "      <td>100</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.86</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Engineering</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>36</td>\n",
+       "      <td>Analyst</td>\n",
+       "      <td>2021-07-23 08:03:05.556036</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Bachelor</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4800.0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>11</td>\n",
+       "      <td>29</td>\n",
+       "      <td>13</td>\n",
+       "      <td>100</td>\n",
+       "      <td>15</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Employee_ID        Department  Gender  Age   Job_Title  \\\n",
+       "0            1                IT    Male   55  Specialist   \n",
+       "1            2           Finance    Male   29   Developer   \n",
+       "2            3           Finance    Male   55  Specialist   \n",
+       "3            4  Customer Support  Female   48     Analyst   \n",
+       "4            5       Engineering  Female   36     Analyst   \n",
+       "\n",
+       "                    Hire_Date  Years_At_Company Education_Level  \\\n",
+       "0  2022-01-19 08:03:05.556036                 2     High School   \n",
+       "1  2024-04-18 08:03:05.556036                 0     High School   \n",
+       "2  2015-10-26 08:03:05.556036                 8     High School   \n",
+       "3  2016-10-22 08:03:05.556036                 7        Bachelor   \n",
+       "4  2021-07-23 08:03:05.556036                 3        Bachelor   \n",
+       "\n",
+       "   Performance_Score  Monthly_Salary  Work_Hours_Per_Week  Projects_Handled  \\\n",
+       "0                  5          6750.0                   33                32   \n",
+       "1                  5          7500.0                   34                34   \n",
+       "2                  3          5850.0                   37                27   \n",
+       "3                  2          4800.0                   52                10   \n",
+       "4                  2          4800.0                   38                11   \n",
+       "\n",
+       "   Overtime_Hours  Sick_Days  Remote_Work_Frequency  Team_Size  \\\n",
+       "0              22          2                      0         14   \n",
+       "1              13         14                    100         12   \n",
+       "2               6          3                     50         10   \n",
+       "3              28         12                    100         10   \n",
+       "4              29         13                    100         15   \n",
+       "\n",
+       "   Training_Hours  Promotions  Employee_Satisfaction_Score  Resigned  \n",
+       "0              66           0                         2.63     False  \n",
+       "1              61           2                         1.72     False  \n",
+       "2               1           0                         3.17     False  \n",
+       "3               0           1                         1.86     False  \n",
+       "4               9           1                         1.25     False  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Display the first few rows\n",
+    "employee.head()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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>Employee_ID</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Years_At_Company</th>\n",
+       "      <th>Performance_Score</th>\n",
+       "      <th>Monthly_Salary</th>\n",
+       "      <th>Work_Hours_Per_Week</th>\n",
+       "      <th>Projects_Handled</th>\n",
+       "      <th>Overtime_Hours</th>\n",
+       "      <th>Sick_Days</th>\n",
+       "      <th>Remote_Work_Frequency</th>\n",
+       "      <th>Team_Size</th>\n",
+       "      <th>Training_Hours</th>\n",
+       "      <th>Promotions</th>\n",
+       "      <th>Employee_Satisfaction_Score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.00000</td>\n",
+       "      <td>1999.00000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>1999.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>40.743372</td>\n",
+       "      <td>4.564782</td>\n",
+       "      <td>2.963482</td>\n",
+       "      <td>6394.222111</td>\n",
+       "      <td>44.859930</td>\n",
+       "      <td>23.771886</td>\n",
+       "      <td>14.55978</td>\n",
+       "      <td>6.90095</td>\n",
+       "      <td>50.475238</td>\n",
+       "      <td>10.028514</td>\n",
+       "      <td>49.097549</td>\n",
+       "      <td>0.983492</td>\n",
+       "      <td>2.982141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>577.205914</td>\n",
+       "      <td>10.933536</td>\n",
+       "      <td>2.833851</td>\n",
+       "      <td>1.396466</td>\n",
+       "      <td>1381.499701</td>\n",
+       "      <td>8.855213</td>\n",
+       "      <td>14.223723</td>\n",
+       "      <td>8.67863</td>\n",
+       "      <td>4.33855</td>\n",
+       "      <td>35.519867</td>\n",
+       "      <td>5.475369</td>\n",
+       "      <td>28.991300</td>\n",
+       "      <td>0.813566</td>\n",
+       "      <td>1.141426</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3850.000000</td>\n",
+       "      <td>30.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>500.500000</td>\n",
+       "      <td>31.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>5250.000000</td>\n",
+       "      <td>37.000000</td>\n",
+       "      <td>12.000000</td>\n",
+       "      <td>7.00000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.005000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>41.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>6300.000000</td>\n",
+       "      <td>45.000000</td>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>14.00000</td>\n",
+       "      <td>7.00000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>48.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1499.500000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>7500.000000</td>\n",
+       "      <td>52.000000</td>\n",
+       "      <td>36.000000</td>\n",
+       "      <td>22.00000</td>\n",
+       "      <td>11.00000</td>\n",
+       "      <td>75.000000</td>\n",
+       "      <td>15.000000</td>\n",
+       "      <td>74.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.960000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1999.000000</td>\n",
+       "      <td>60.000000</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>9000.000000</td>\n",
+       "      <td>60.000000</td>\n",
+       "      <td>49.000000</td>\n",
+       "      <td>29.00000</td>\n",
+       "      <td>14.00000</td>\n",
+       "      <td>100.000000</td>\n",
+       "      <td>19.000000</td>\n",
+       "      <td>99.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Employee_ID          Age  Years_At_Company  Performance_Score  \\\n",
+       "count  1999.000000  1999.000000       1999.000000        1999.000000   \n",
+       "mean   1000.000000    40.743372          4.564782           2.963482   \n",
+       "std     577.205914    10.933536          2.833851           1.396466   \n",
+       "min       1.000000    22.000000          0.000000           1.000000   \n",
+       "25%     500.500000    31.000000          2.000000           2.000000   \n",
+       "50%    1000.000000    41.000000          5.000000           3.000000   \n",
+       "75%    1499.500000    50.000000          7.000000           4.000000   \n",
+       "max    1999.000000    60.000000          9.000000           5.000000   \n",
+       "\n",
+       "       Monthly_Salary  Work_Hours_Per_Week  Projects_Handled  Overtime_Hours  \\\n",
+       "count     1999.000000          1999.000000       1999.000000      1999.00000   \n",
+       "mean      6394.222111            44.859930         23.771886        14.55978   \n",
+       "std       1381.499701             8.855213         14.223723         8.67863   \n",
+       "min       3850.000000            30.000000          0.000000         0.00000   \n",
+       "25%       5250.000000            37.000000         12.000000         7.00000   \n",
+       "50%       6300.000000            45.000000         24.000000        14.00000   \n",
+       "75%       7500.000000            52.000000         36.000000        22.00000   \n",
+       "max       9000.000000            60.000000         49.000000        29.00000   \n",
+       "\n",
+       "        Sick_Days  Remote_Work_Frequency    Team_Size  Training_Hours  \\\n",
+       "count  1999.00000            1999.000000  1999.000000     1999.000000   \n",
+       "mean      6.90095              50.475238    10.028514       49.097549   \n",
+       "std       4.33855              35.519867     5.475369       28.991300   \n",
+       "min       0.00000               0.000000     1.000000        0.000000   \n",
+       "25%       3.00000              25.000000     5.000000       25.000000   \n",
+       "50%       7.00000              50.000000    10.000000       48.000000   \n",
+       "75%      11.00000              75.000000    15.000000       74.000000   \n",
+       "max      14.00000             100.000000    19.000000       99.000000   \n",
+       "\n",
+       "        Promotions  Employee_Satisfaction_Score  \n",
+       "count  1999.000000                  1999.000000  \n",
+       "mean      0.983492                     2.982141  \n",
+       "std       0.813566                     1.141426  \n",
+       "min       0.000000                     1.000000  \n",
+       "25%       0.000000                     2.005000  \n",
+       "50%       1.000000                     3.000000  \n",
+       "75%       2.000000                     3.960000  \n",
+       "max       2.000000                     5.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Display basic info\n",
+    "employee.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1999, 20)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "employee.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1999 entries, 0 to 1998\n",
+      "Data columns (total 20 columns):\n",
+      " #   Column                       Non-Null Count  Dtype  \n",
+      "---  ------                       --------------  -----  \n",
+      " 0   Employee_ID                  1999 non-null   int64  \n",
+      " 1   Department                   1999 non-null   object \n",
+      " 2   Gender                       1999 non-null   object \n",
+      " 3   Age                          1999 non-null   int64  \n",
+      " 4   Job_Title                    1999 non-null   object \n",
+      " 5   Hire_Date                    1999 non-null   object \n",
+      " 6   Years_At_Company             1999 non-null   int64  \n",
+      " 7   Education_Level              1999 non-null   object \n",
+      " 8   Performance_Score            1999 non-null   int64  \n",
+      " 9   Monthly_Salary               1999 non-null   float64\n",
+      " 10  Work_Hours_Per_Week          1999 non-null   int64  \n",
+      " 11  Projects_Handled             1999 non-null   int64  \n",
+      " 12  Overtime_Hours               1999 non-null   int64  \n",
+      " 13  Sick_Days                    1999 non-null   int64  \n",
+      " 14  Remote_Work_Frequency        1999 non-null   int64  \n",
+      " 15  Team_Size                    1999 non-null   int64  \n",
+      " 16  Training_Hours               1999 non-null   int64  \n",
+      " 17  Promotions                   1999 non-null   int64  \n",
+      " 18  Employee_Satisfaction_Score  1999 non-null   float64\n",
+      " 19  Resigned                     1999 non-null   bool   \n",
+      "dtypes: bool(1), float64(2), int64(12), object(5)\n",
+      "memory usage: 298.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "employee.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Employee_ID', 'Department', 'Gender', 'Age', 'Job_Title', 'Hire_Date',\n",
+       "       'Years_At_Company', 'Education_Level', 'Performance_Score',\n",
+       "       'Monthly_Salary', 'Work_Hours_Per_Week', 'Projects_Handled',\n",
+       "       'Overtime_Hours', 'Sick_Days', 'Remote_Work_Frequency', 'Team_Size',\n",
+       "       'Training_Hours', 'Promotions', 'Employee_Satisfaction_Score',\n",
+       "       'Resigned'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "employee.columns = employee.columns.str.strip()\n",
+    "employee.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Department: ['IT' 'Finance' 'Customer Support' 'Engineering' 'Marketing' 'HR'\n",
+      " 'Operations' 'Sales' 'Legal']\n",
+      "Job Title: ['Specialist' 'Developer' 'Analyst' 'Manager' 'Technician' 'Engineer'\n",
+      " 'Consultant']\n",
+      "Education Level: ['High School' 'Bachelor' 'Master' 'PhD']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Extract the unique values for some columns\n",
+    "print(f\"Department: {employee[\"Department\"].unique()}\")\n",
+    "print(f\"Job Title: {employee[\"Job_Title\"].unique()}\")\n",
+    "print(f\"Education Level: {employee[\"Education_Level\"].unique()}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Visualization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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LL74oSapdu7Zuvvlmvfjii9Y8Xrt2rWbOnKnLLrvsrOe4kH3PZNSoUWrVqpUkWSshAsCFIkgBwHm6//77JUk1atTQZZddptjYWD3++OMaMmTIWUOU9MdiE5999pkmTJigrKws1apVS3FxcVq2bJk6d+5sjZs5c6YeffRR9ejRQ4WFhRo4cKBmz55dpnqbNWum+++/XxMmTFB6errCw8P18ssvu/yF3svLS//+97/18MMP68EHH5TT6VTfvn01ffp0devWzeV4o0aN0vbt2/Xkk0/q8OHDMsaUusjGlVdeqfXr1+vJJ5/UiBEjVFBQoNjYWKWmppb6jlFZtG3bVqtWrdKECROUlJSk4uJixcfHa9myZbrtttvK7Tzna8aMGWrUqJFmzpyp1157TQEBAbr11luVkpJyxneizsXX11ezZs3SxIkT1blzZxUVFWnChAklvkuqrOrXr68bb7xR3333nfr163de+9x7772SpIULF+rFF1/U4cOHFRgYqBYtWuiTTz5RYmKiNXbBggUaNWqUHnvsMZ04cUJt2rRRWlpaibl1Jhey7+muv/566/uoynJnEADOxGHOtdQUAAColLKzsxUVFaWRI0ee8fu9KovvvvvOWqVw+PDh7i4HQCVBkAIAoIrZu3evfvnlF7344otatWqVfvzxR9WvX9/dZZW7n3/+Wbt379aTTz6pzMxM/fTTT9ZjrQBwoVhsAgCAKubtt99Wu3bttH37ds2fP79ShihJ+tvf/qZOnTopLy9P77//PiEKQLnijhQAAAAA2MQdKQAAAACwiSAFAAAAADYRpAAAAADAJr5HSlJxcbH27dsnf3//cvvyRgAAAAAVjzFGR44cUXh4uKpVK/2+E0FK0r59+xQREeHuMgAAAAB4iD179qhBgwal9hOkJPn7+0v645dVu3ZtN1cDAAAAwF1yc3MVERFhZYTSEKQk63G+2rVrE6QAAAAAnPOVHxabAAAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgk7e7CwAAwFNkZmYqJyfH3WVYgoKCFBkZ6e4yAABnQJACAEB/hKirYmNVkJ/v7lIsNX199cOOHYQpAPBABCkAACTl5OSoID9fvSfNUHB0jLvLUXZGut57+iHl5OQQpADAAxGkAAD4k+DoGNWPjXd3GQAAD8diEwAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbHJrkEpJSdF1110nf39/BQcH64477tDOnTtdxhhjlJycrPDwcNWsWVPt2rXT9u3bXcYUFhZq5MiRCgoKkp+fn3r06KG9e/deyksBAAAAUIW4NUitXbtWI0aM0FdffaW0tDSdOHFCnTt31tGjR60xU6ZM0csvv6zp06dr48aNCg0NVadOnXTkyBFrzOjRo7VkyRItXLhQ69atU15enm677TadPHnSHZcFAAAAoJLzdufJP/30U5ft1NRUBQcHa/Pmzbr55ptljNErr7yip556Sj179pQkzZkzRyEhIVqwYIGGDRumw4cPa+bMmXrnnXd0yy23SJLmzZuniIgIrVixQl26dLnk1wUAAACgcvOod6QOHz4sSQoMDJQkZWRkKCsrS507d7bGOJ1OtW3bVuvXr5ckbd68WUVFRS5jwsPDFRcXZ405XWFhoXJzc10+AAAAAHC+PCZIGWM0ZswY3XjjjYqLi5MkZWVlSZJCQkJcxoaEhFh9WVlZqlGjhurUqVPqmNOlpKQoICDA+kRERJT35QAAAACoxDwmSD388MP67rvv9O6775boczgcLtvGmBJtpzvbmPHjx+vw4cPWZ8+ePWUvHAAAAECV4xFBauTIkVq2bJlWr16tBg0aWO2hoaGSVOLOUnZ2tnWXKjQ0VMePH9fBgwdLHXM6p9Op2rVru3wAAAAA4Hy5NUgZY/Twww9r8eLFWrVqlaKjo136o6OjFRoaqrS0NKvt+PHjWrt2rRISEiRJLVq0UPXq1V3G7N+/X9u2bbPGAAAAAEB5cuuqfSNGjNCCBQv0r3/9S/7+/tadp4CAANWsWVMOh0OjR4/W5MmTFRMTo5iYGE2ePFm+vr7q16+fNXbw4MEaO3as6tatq8DAQI0bN05Nmza1VvEDAAAAgPLk1iA1Y8YMSVK7du1c2lNTU5WUlCRJeuyxx1RQUKDhw4fr4MGDatWqlT777DP5+/tb46dOnSpvb2/17t1bBQUF6tixo2bPni0vL69LdSkAAAAAqhC3BiljzDnHOBwOJScnKzk5udQxPj4+mjZtmqZNm1aO1QEAAADAmXnEYhMAAAAAUJEQpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANjk7e4CAOBiyczMVE5OjrvLsAQFBSkyMtLdZQAAgHJAkAJQKWVmZuqq2FgV5Oe7uxRLTV9f/bBjB2EKAIBKgCAFoFLKyclRQX6+ek+aoeDoGHeXo+yMdL339EPKyckhSAHAJeZJTyjwdELlQZACUKkFR8eofmy8u8sAALiJpz2hwNMJlQdBCgAAAJWWJz2hwNMJlQtBCgAAAJUeTyigvLH8OQAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmtwapzz//XN27d1d4eLgcDoeWLl3q0u9wOM74efHFF60x7dq1K9Hft2/fS3wlAAAAAKoStwapo0ePKj4+XtOnTz9j//79+10+s2bNksPhUK9evVzGDR061GXcP//5z0tRPgAAAIAqytudJ09MTFRiYmKp/aGhoS7b//rXv9S+fXtdfvnlLu2+vr4lxgIAAADAxVJh3pH63//+p48//liDBw8u0Td//nwFBQWpSZMmGjdunI4cOXLWYxUWFio3N9flAwAAAADny613pOyYM2eO/P391bNnT5f2/v37Kzo6WqGhodq2bZvGjx+vb7/9VmlpaaUeKyUlRRMnTrzYJQMAAACopCpMkJo1a5b69+8vHx8fl/ahQ4daP8fFxSkmJkYtW7bUli1b1Lx58zMea/z48RozZoy1nZubq4iIiItTOAAAAIBKp0IEqS+++EI7d+7UokWLzjm2efPmql69utLT00sNUk6nU06ns7zLBAAAAFBFVIh3pGbOnKkWLVooPj7+nGO3b9+uoqIihYWFXYLKAAAAAFRFbr0jlZeXp59++snazsjI0NatWxUYGKjIyEhJfzx29/777+ull14qsf/PP/+s+fPnq2vXrgoKCtJ///tfjR07Vtdee63atGlzya4DAAAAQNXi1iC1adMmtW/f3to+9d7SwIEDNXv2bEnSwoULZYzRPffcU2L/GjVqaOXKlfrHP/6hvLw8RUREqFu3bpowYYK8vLwuyTUAAAAAqHrcGqTatWsnY8xZxzzwwAN64IEHztgXERGhtWvXXozSAAAAAKBUFeIdKQAAAADwJAQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACb3Lr8OQDAPTIzM5WTk+PuMiRJQUFB1pewAwBQURCkAKCKyczM1FWxsSrIz3d3KZKkmr6++mHHDsIUAKBCIUgBQBWTk5Ojgvx89Z40Q8HRMW6tJTsjXe89/ZBycnIIUgCACoUgBQBVVHB0jOrHxru7DAAAKiQWmwAAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCa3BqnPP/9c3bt3V3h4uBwOh5YuXerSn5SUJIfD4fJp3bq1y5jCwkKNHDlSQUFB8vPzU48ePbR3795LeBUAAAAAqhq3BqmjR48qPj5e06dPL3XMrbfeqv3791ufTz75xKV/9OjRWrJkiRYuXKh169YpLy9Pt912m06ePHmxywcAAABQRXm78+SJiYlKTEw86xin06nQ0NAz9h0+fFgzZ87UO++8o1tuuUWSNG/ePEVERGjFihXq0qXLGfcrLCxUYWGhtZ2bm1vGKwAAAABQFXn8O1Jr1qxRcHCwGjdurKFDhyo7O9vq27x5s4qKitS5c2erLTw8XHFxcVq/fn2px0xJSVFAQID1iYiIuKjXAAAAAKBy8egglZiYqPnz52vVqlV66aWXtHHjRnXo0MG6m5SVlaUaNWqoTp06LvuFhIQoKyur1OOOHz9ehw8ftj579uy5qNcBAAAAoHJx66N959KnTx/r57i4OLVs2VJRUVH6+OOP1bNnz1L3M8bI4XCU2u90OuV0Osu1VgAAAABVh0ffkTpdWFiYoqKilJ6eLkkKDQ3V8ePHdfDgQZdx2dnZCgkJcUeJAAAAAKqAChWkDhw4oD179igsLEyS1KJFC1WvXl1paWnWmP3792vbtm1KSEhwV5kAAAAAKjm3PtqXl5enn376ydrOyMjQ1q1bFRgYqMDAQCUnJ6tXr14KCwvTrl279OSTTyooKEh33nmnJCkgIECDBw/W2LFjVbduXQUGBmrcuHFq2rSptYofAAAAAJQ3twapTZs2qX379tb2mDFjJEkDBw7UjBkz9P3332vu3Lk6dOiQwsLC1L59ey1atEj+/v7WPlOnTpW3t7d69+6tgoICdezYUbNnz5aXl9clvx4AAAAAVYNbg1S7du1kjCm1f/ny5ec8ho+Pj6ZNm6Zp06aVZ2kAAAAAUKoK9Y4UAAAAAHgCghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2ebu7AAAXLjMzUzk5Oe4uQ5IUFBSkyMhId5cBAABwURGkgAouMzNTV8XGqiA/392lSJJq+vrqhx07CFMAAKBSI0gBFVxOTo4K8vPVe9IMBUfHuLWW7Ix0vff0Q8rJySFIAQCASo0gBVQSwdExqh8b7+4yAAAAqgQWmwAAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE1uDVKff/65unfvrvDwcDkcDi1dutTqKyoq0uOPP66mTZvKz89P4eHhuu+++7Rv3z6XY7Rr104Oh8Pl07dv30t8JQAAAACqErcGqaNHjyo+Pl7Tp08v0Zefn68tW7bomWee0ZYtW7R48WL9+OOP6tGjR4mxQ4cO1f79+63PP//5z0tRPgAAAIAqytudJ09MTFRiYuIZ+wICApSWlubSNm3aNF1//fXKzMxUZGSk1e7r66vQ0NCLWisAAAAAnFKh3pE6fPiwHA6HLrvsMpf2+fPnKygoSE2aNNG4ceN05MiRsx6nsLBQubm5Lh8AAAAAOF9uvSNlx7Fjx/TEE0+oX79+ql27ttXev39/RUdHKzQ0VNu2bdP48eP17bfflrib9WcpKSmaOHHipSgbAAAAQCVUIYJUUVGR+vbtq+LiYr3++usufUOHDrV+jouLU0xMjFq2bKktW7aoefPmZzze+PHjNWbMGGs7NzdXERERF6d4AAAAAJWOxwepoqIi9e7dWxkZGVq1apXL3agzad68uapXr6709PRSg5TT6ZTT6bwY5QIAAACoAjw6SJ0KUenp6Vq9erXq1q17zn22b9+uoqIihYWFXYIKAQAAPEdmZqZycnLcXYYkKSgoyGVxMKCycWuQysvL008//WRtZ2RkaOvWrQoMDFR4eLjuuusubdmyRR999JFOnjyprKwsSVJgYKBq1Kihn3/+WfPnz1fXrl0VFBSk//73vxo7dqyuvfZatWnTxl2XBQAAcMllZmbqqthYFeTnu7sUSVJNX1/9sGMHYQqVlluD1KZNm9S+fXtr+9R7SwMHDlRycrKWLVsmSWrWrJnLfqtXr1a7du1Uo0YNrVy5Uv/4xz+Ul5eniIgIdevWTRMmTJCXl9cluw4AAAB3y8nJUUF+vnpPmqHg6Bi31pKdka73nn5IOTk5BClUWm4NUu3atZMxptT+s/VJUkREhNauXVveZQG4QDt27HB3CR5RAwC4Q3B0jOrHxru7DKDS8+h3pABULEdy/idHtWoaMGCAu0sBAAC4qAhSAMpNwZFcmeJij3isZOeXK5X2eopbawAAAJVXmYPUoUOH9MEHH+jnn3/Wo48+qsDAQG3ZskUhISGqX79+edYIoILxhMdKsjPS3Xp+AABQuZUpSH333Xe65ZZbFBAQoF27dmno0KEKDAzUkiVLtHv3bs2dO7e86wQAAAAAj1GtLDuNGTNGSUlJSk9Pl4+Pj9WemJiozz//vNyKAwAAAABPVKYgtXHjRg0bNqxEe/369a3vegIAAACAyqpMQcrHx0e5ubkl2nfu3Kl69epdcFEAAAAA4MnKFKRuv/12PfvssyoqKpIkORwOZWZm6oknnlCvXr3KtUAAAAAA8DRlClJ///vf9dtvvyk4OFgFBQVq27atrrjiCvn7++u5554r7xoBAAAAwKOUadW+2rVra926dVq1apW2bNmi4uJiNW/eXLfcckt51wcAAAAAHueCvpC3Q4cO6tChQ3nVAgAAAAAVwnkHqVdfffW8D/qXv/ylTMUAAAAAQEVw3kFq6tSp5zXO4XAQpAAAAABUaucdpDIyMi5mHQAAAABQYZRp1b4/M8bIGFMetQAAAABAhVDmxSZmzpypqVOnKj09XZIUExOj0aNHa8iQIeVWHAAAAICLIzMzUzk5Oe4uwxIUFKTIyEh3l3HeyhSknnnmGU2dOlUjR47UDTfcIEnasGGDHnnkEe3atUuTJk0q1yIBAAAAlJ/MzExdFRurgvx8d5diqenrqx927KgwYapMQWrGjBl66623dM8991htPXr00DXXXKORI0cSpAAAAAAPlpOTo4L8fPWeNEPB0THuLkfZGel67+mHlJOTU7mD1MmTJ9WyZcsS7S1atNCJEycuuCgAAAAAF19wdIzqx8a7u4wKqUyLTQwYMEAzZswo0f7mm2+qf//+F1wUAAAAAHiyC1ps4rPPPlPr1q0lSV999ZX27Nmj++67T2PGjLHGvfzyyxdeJQAAAAB4kDIFqW3btql58+aSpJ9//lmSVK9ePdWrV0/btm2zxjkcjnIoEQAAAAA8S5mC1OrVq8u7DgAAAACoMC74C3n37t2rX3/9tTxqAQAAAIAKoUxBqri4WM8++6wCAgIUFRWlyMhIXXbZZfrb3/6m4uLi8q4RAAAAADxKmR7te+qppzRz5kw9//zzatOmjYwx+vLLL5WcnKxjx47pueeeK+86AQAAAMBjlClIzZkzR2+//bZ69OhhtcXHx6t+/foaPnw4QQoAAABApVamR/t+//13XXXVVSXar7rqKv3+++8XXBQAAAAAeLIy3ZGKj4/X9OnT9eqrr7q0T58+XfHxfDMyAACVTWZmpnJyctxdhiQpKChIkZGR7i4DQBVXpiA1ZcoUdevWTStWrNANN9wgh8Oh9evXa8+ePfrkk0/Ku0YAAOBGmZmZuio2VgX5+e4uRZJU09dXP+zYQZgC4FZlClJt27bVjz/+qNdee00//PCDjDHq2bOnhg8frvDw8PKuEQAAuFFOTo4K8vPVe9IMBUfHuLWW7Ix0vff0Q8rJySFIAXCrMgUpSQoPD2dRCQAAqpDg6BjVj+URfgCQLiBIffHFF/rnP/+pX375Re+//77q16+vd955R9HR0brxxhvLs0YAAACP5Envju3YscPdJQBVSpmC1Icffqh7771X/fv315YtW1RYWChJOnLkiCZPnsx7UgAAoNLztHfHAFxaZQpSkyZN0htvvKH77rtPCxcutNoTEhL07LPPlltxAAAAnsqT3h2TpJ1frlTa6ynuLgOoMsoUpHbu3Kmbb765RHvt2rV16NChC60JAACgwvCUd8eyM9LdXQJQpZTpC3nDwsL0008/lWhft26dLr/88gsuCgAAAAA8WZmC1LBhwzRq1Ch9/fXXcjgc2rdvn+bPn69x48Zp+PDh5V0jAAAAAHiUMj3a99hjjyk3N1ft27fXsWPHdPPNN8vpdGrcuHF6+OGHy7tGAAAAF56wQp0n1ADAfWwFqfz8fD366KNaunSpioqK1L17d40dO1aSdPXVV6tWrVoXpUgAAABJOpLzPzmqVdOAAQPcXQqAKs5WkJowYYJmz56t/v37q2bNmlqwYIGKi4v1/vvvX6z6ABee9H0dQUFBioyMdHcZAFClFBzJlSku9oiV8lglD6jabAWpxYsXa+bMmerbt68kqX///mrTpo1OnjwpLy8v2yf//PPP9eKLL2rz5s3av3+/lixZojvuuMPqN8Zo4sSJevPNN3Xw4EG1atVKr732mpo0aWKNKSws1Lhx4/Tuu++qoKBAHTt21Ouvv64GDRrYrgeezdO+r6Omr69+2LGDMAUAbuAJK+WxSh5QtdkKUnv27NFNN91kbV9//fXy9vbWvn37FBERYfvkR48eVXx8vO6//3716tWrRP+UKVP08ssva/bs2WrcuLEmTZqkTp06aefOnfL395ckjR49Wv/+97+1cOFC1a1bV2PHjtVtt92mzZs3lyncwXN50vd1ZGek672nH1JOTg5BCgAAoAqyFaROnjypGjVquB7A21snTpwo08kTExOVmJh4xj5jjF555RU99dRT6tmzpyRpzpw5CgkJ0YIFCzRs2DAdPnxYM2fO1DvvvKNbbrlFkjRv3jxFRERoxYoV6tKlS5nqgmfzhH+FBAAAQNVmK0gZY5SUlCSn02m1HTt2TA8++KD8/PystsWLF19wYRkZGcrKylLnzp2tNqfTqbZt22r9+vUaNmyYNm/erKKiIpcx4eHhiouL0/r160sNUoWFhSosLLS2c3NzL7heAAAAAFWHrSA1cODAEm0Xa9WcrKwsSVJISIhLe0hIiHbv3m2NqVGjhurUqVNizKn9zyQlJUUTJ04s54oBAAAAVBW2glRqaurFqqNUDofDZdsYU6LtdOcaM378eI0ZM8bazs3NLdM7XgAAAACqpmruLqA0oaGhklTizlJ2drZ1lyo0NFTHjx/XwYMHSx1zJk6nU7Vr13b5AAAAAMD58tggFR0drdDQUKWlpVltx48f19q1a5WQkCBJatGihapXr+4yZv/+/dq2bZs1BgAAAADKm61H+8pbXl6efvrpJ2s7IyNDW7duVWBgoCIjIzV69GhNnjxZMTExiomJ0eTJk+Xr66t+/fpJkgICAjR48GCNHTtWdevWVWBgoMaNG6emTZtaq/gBAAAAQHlza5DatGmT2rdvb22fem9p4MCBmj17th577DEVFBRo+PDh1hfyfvbZZ9Z3SEnS1KlT5e3trd69e1tfyDt79my+QwoAAADARePWINWuXTsZY0rtdzgcSk5OVnJycqljfHx8NG3aNE2bNu0iVAgAAAAAJXnsO1IAAAAA4KkIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmzw+SDVs2FAOh6PEZ8SIEZKkpKSkEn2tW7d2c9UAAAAAKjNvdxdwLhs3btTJkyet7W3btqlTp066++67rbZbb71Vqamp1naNGjUuaY0AAAAAqhaPD1L16tVz2X7++efVqFEjtW3b1mpzOp0KDQ291KUBAAAAqKI8/tG+Pzt+/LjmzZunQYMGyeFwWO1r1qxRcHCwGjdurKFDhyo7O/usxyksLFRubq7LBwAAAADOV4UKUkuXLtWhQ4eUlJRktSUmJmr+/PlatWqVXnrpJW3cuFEdOnRQYWFhqcdJSUlRQECA9YmIiLgE1QMAAACoLDz+0b4/mzlzphITExUeHm619enTx/o5Li5OLVu2VFRUlD7++GP17NnzjMcZP368xowZY23n5uYSpgAAAACctwoTpHbv3q0VK1Zo8eLFZx0XFhamqKgopaenlzrG6XTK6XSWd4kAAAAAqogK82hfamqqgoOD1a1bt7OOO3DggPbs2aOwsLBLVBkAAACAqqZCBKni4mKlpqZq4MCB8vb+/zfR8vLyNG7cOG3YsEG7du3SmjVr1L17dwUFBenOO+90Y8UAAAAAKrMK8WjfihUrlJmZqUGDBrm0e3l56fvvv9fcuXN16NAhhYWFqX379lq0aJH8/f3dVC0AAACAyq5CBKnOnTvLGFOivWbNmlq+fLkbKgIAAABQlVWIR/sAAAAAwJMQpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADY5O3uAgCgKtmxY4e7S/CIGgAAqOgIUgBwCRzJ+Z8c1appwIAB7i4FAACUA4IUAFwCBUdyZYqL1XvSDAVHx7i1lp1frlTa6ylurQEAgIqOIAUAl1BwdIzqx8a7tYbsjHS3nh8AgMqAxSYAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATSx/DlyAHTt2uLsEj6gBAACgqiFIAWVwJOd/clSrpgEDBri7FAAAALgBQQoog4IjuTLFxeo9aYaCo2PcWsvOL1cq7fUUt9YAAABQ1RCkgAsQHB2j+rHxbq0hOyPdrecHAACoilhsAgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbPJ2dwEoKTMzUzk5Oe4uQ5IUFBSkyMhId5cBAAAAeBSClIfJzMzUVbGxKsjPd3cpkqSavr76YccOwhQAAADwJwQpD5OTk6OC/Hz1njRDwdExbq0lOyNd7z39kL744gvFxsa6tRZJ2rFjh7tLAAAAACQRpDxWcHSM6sfGu7WGIzn/k6NaNQ0YMMCtdQAAAACehiCFUhUcyZUpLvaIu2OStPPLlUp7PcXdZQAAAAAEKZybJ9wdk/541BAAAADwBAQpAIDbecI7kJ5QAwCg4vDoIJWcnKyJEye6tIWEhCgrK0uSZIzRxIkT9eabb+rgwYNq1aqVXnvtNTVp0sQd5QIAbOJdTABAReXRQUqSmjRpohUrVljbXl5e1s9TpkzRyy+/rNmzZ6tx48aaNGmSOnXqpJ07d8rf398d5QIAbPCkdzF5DxMAYIfHBylvb2+FhoaWaDfG6JVXXtFTTz2lnj17SpLmzJmjkJAQLViwQMOGDbvUpQIAysgT3sXkPUwAgB0eH6TS09MVHh4up9OpVq1aafLkybr88suVkZGhrKwsde7c2RrrdDrVtm1brV+//qxBqrCwUIWFhdZ2bm7uRb0GAADKyhPe3fKEGgDA03h0kGrVqpXmzp2rxo0b63//+58mTZqkhIQEbd++3XpPKiQkxGWfkJAQ7d69+6zHTUlJKfHuFQAAnoT3xwDAs3l0kEpMTLR+btq0qW644QY1atRIc+bMUevWrSVJDofDZR9jTIm2040fP15jxoyxtnNzcxUREVGOlQMAcGF4fwwAPJtHB6nT+fn5qWnTpkpPT9cdd9whScrKylJYWJg1Jjs7u8RdqtM5nU45nc6LWSoAAOWC98cAwDNVc3cBdhQWFmrHjh0KCwtTdHS0QkNDlZaWZvUfP35ca9euVUJCghurBAAAAFDZefQdqXHjxql79+6KjIxUdna2Jk2apNzcXA0cOFAOh0OjR4/W5MmTFRMTo5iYGE2ePFm+vr7q16+fu0sHAAAAUIl5dJDau3ev7rnnHuXk5KhevXpq3bq1vvrqK0VFRUmSHnvsMRUUFGj48OHWF/J+9tlnfIcUAAAAgIvKo4PUwoULz9rvcDiUnJys5OTkS1MQAAAAAKiCvSMFAAAAAJ6AIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsMmjg1RKSoquu+46+fv7Kzg4WHfccYd27tzpMiYpKUkOh8Pl07p1azdVDAAAAKAq8OggtXbtWo0YMUJfffWV0tLSdOLECXXu3FlHjx51GXfrrbdq//791ueTTz5xU8UAAAAAqgJvdxdwNp9++qnLdmpqqoKDg7V582bdfPPNVrvT6VRoaOilLg8AAABAFeXRd6ROd/jwYUlSYGCgS/uaNWsUHBysxo0ba+jQocrOzj7rcQoLC5Wbm+vyAQAAAIDzVWGClDFGY8aM0Y033qi4uDirPTExUfPnz9eqVav00ksvaePGjerQoYMKCwtLPVZKSooCAgKsT0RExKW4BAAAAACVhEc/2vdnDz/8sL777jutW7fOpb1Pnz7Wz3FxcWrZsqWioqL08ccfq2fPnmc81vjx4zVmzBhrOzc3lzAFAAAA4LxViCA1cuRILVu2TJ9//rkaNGhw1rFhYWGKiopSenp6qWOcTqecTmd5lwkAAACgivDoIGWM0ciRI7VkyRKtWbNG0dHR59znwIED2rNnj8LCwi5BhQAAAACqIo9+R2rEiBGaN2+eFixYIH9/f2VlZSkrK0sFBQWSpLy8PI0bN04bNmzQrl27tGbNGnXv3l1BQUG688473Vw9AAAAgMrKo+9IzZgxQ5LUrl07l/bU1FQlJSXJy8tL33//vebOnatDhw4pLCxM7du316JFi+Tv7++GigEAAABUBR4dpIwxZ+2vWbOmli9ffomqAQAAAIA/ePSjfQAAAADgiQhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbCFIAAAAAYBNBCgAAAABsIkgBAAAAgE0EKQAAAACwiSAFAAAAADYRpAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJsIUgAAAABgE0EKAAAAAGwiSAEAAACATQQpAAAAALCJIAUAAAAANhGkAAAAAMAmghQAAAAA2ESQAgAAAACbKk2Qev311xUdHS0fHx+1aNFCX3zxhbtLAgAAAFBJVYogtWjRIo0ePVpPPfWU/vOf/+imm25SYmKiMjMz3V0aAAAAgEqoUgSpl19+WYMHD9aQIUMUGxurV155RREREZoxY4a7SwMAAABQCXm7u4ALdfz4cW3evFlPPPGES3vnzp21fv36M+5TWFiowsJCa/vw4cOSpNzc3ItX6HnKy8uTJP264zsdzz/q1lp+25XuMbVInlUPtVCLXZ5UD7V4fi2SZ9VDLZ5fi+RZ9fy2+2dJ0ubNm62/27jLzp07JfF7OZ0n/V6k//+7ycvLc/vfyU+d3xhz1nEOc64RHm7fvn2qX7++vvzySyUkJFjtkydP1pw5c6xJ8mfJycmaOHHipSwTAAAAQAWyZ88eNWjQoNT+Cn9H6hSHw+GybYwp0XbK+PHjNWbMGGu7uLhYv//+u+rWrVvqPhVZbm6uIiIitGfPHtWuXdvd5cDDMD9wLswRnAtzBOfCHMG5eNIcMcboyJEjCg8PP+u4Ch+kgoKC5OXlpaysLJf27OxshYSEnHEfp9Mpp9Pp0nbZZZddrBI9Ru3atd0+MeG5mB84F+YIzoU5gnNhjuBcPGWOBAQEnHNMhV9sokaNGmrRooXS0tJc2tPS0lwe9QMAAACA8lLh70hJ0pgxY3TvvfeqZcuWuuGGG/Tmm28qMzNTDz74oLtLAwAAAFAJVYog1adPHx04cEDPPvus9u/fr7i4OH3yySeKiopyd2kewel0asKECSUeZwQk5gfOjTmCc2GO4FyYIziXijhHKvyqfQAAAABwqVX4d6QAAAAA4FIjSAEAAACATQQpAAAAALCJIAUAAAAANhGkKqCUlBQ5HA6NHj3aajPGKDk5WeHh4apZs6batWun7du3u+xXWFiokSNHKigoSH5+furRo4f27t3rMubgwYO69957FRAQoICAAN177706dOjQJbgqXIjk5GQ5HA6XT2hoqNXP/IAk/frrrxowYIDq1q0rX19fNWvWTJs3b7b6mSdVV8OGDUv8GeJwODRixAhJzA1IJ06c0NNPP63o6GjVrFlTl19+uZ599lkVFxdbY5gnOHLkiEaPHq2oqCjVrFlTCQkJ2rhxo9Vf6eaIQYXyzTffmIYNG5prrrnGjBo1ymp//vnnjb+/v/nwww/N999/b/r06WPCwsJMbm6uNebBBx809evXN2lpaWbLli2mffv2Jj4+3pw4ccIac+utt5q4uDizfv16s379ehMXF2duu+22S3mJKIMJEyaYJk2amP3791uf7Oxsq5/5gd9//91ERUWZpKQk8/XXX5uMjAyzYsUK89NPP1ljmCdVV3Z2tsufH2lpaUaSWb16tTGGuQFjJk2aZOrWrWs++ugjk5GRYd5//31Tq1Yt88orr1hjmCfo3bu3ufrqq83atWtNenq6mTBhgqldu7bZu3evMabyzRGCVAVy5MgRExMTY9LS0kzbtm2tIFVcXGxCQ0PN888/b409duyYCQgIMG+88YYxxphDhw6Z6tWrm4ULF1pjfv31V1OtWjXz6aefGmOM+e9//2skma+++soas2HDBiPJ/PDDD5fgClFWEyZMMPHx8WfsY37AGGMef/xxc+ONN5bazzzBn40aNco0atTIFBcXMzdgjDGmW7duZtCgQS5tPXv2NAMGDDDG8GcIjMnPzzdeXl7mo48+cmmPj483Tz31VKWcIzzaV4GMGDFC3bp10y233OLSnpGRoaysLHXu3Nlqczqdatu2rdavXy9J2rx5s4qKilzGhIeHKy4uzhqzYcMGBQQEqFWrVtaY1q1bKyAgwBoDz5Wenq7w8HBFR0erb9+++uWXXyQxP/CHZcuWqWXLlrr77rsVHBysa6+9Vm+99ZbVzzzBKcePH9e8efM0aNAgORwO5gYkSTfeeKNWrlypH3/8UZL07bffat26deratask/gzBH49/njx5Uj4+Pi7tNWvW1Lp16yrlHCFIVRALFy7Uli1blJKSUqIvKytLkhQSEuLSHhISYvVlZWWpRo0aqlOnzlnHBAcHlzh+cHCwNQaeqVWrVpo7d66WL1+ut956S1lZWUpISNCBAweYH5Ak/fLLL5oxY4ZiYmK0fPlyPfjgg/rLX/6iuXPnSuLPEfx/S5cu1aFDh5SUlCSJuYE/PP7447rnnnt01VVXqXr16rr22ms1evRo3XPPPZKYJ5D8/f11ww036G9/+5v27dunkydPat68efr666+1f//+SjlHvC/p2VAme/bs0ahRo/TZZ5+VSPl/5nA4XLaNMSXaTnf6mDONP5/jwL0SExOtn5s2baobbrhBjRo10pw5c9S6dWtJzI+qrri4WC1bttTkyZMlSddee622b9+uGTNm6L777rPGMU8wc+ZMJSYmKjw83KWduVG1LVq0SPPmzdOCBQvUpEkTbd26VaNHj1Z4eLgGDhxojWOeVG3vvPOOBg0apPr168vLy0vNmzdXv379tGXLFmtMZZoj3JGqADZv3qzs7Gy1aNFC3t7e8vb21tq1a/Xqq6/K29vbSvanp/Ds7GyrLzQ0VMePH9fBgwfPOuZ///tfifP/9ttvJf71AJ7Nz89PTZs2VXp6urV6H/OjagsLC9PVV1/t0hYbG6vMzExJYp5AkrR7926tWLFCQ4YMsdqYG5CkRx99VE888YT69u2rpk2b6t5779UjjzxiPSnDPIEkNWrUSGvXrlVeXp727Nmjb775RkVFRYqOjq6Uc4QgVQF07NhR33//vbZu3Wp9WrZsqf79+2vr1q26/PLLFRoaqrS0NGuf48ePa+3atUpISJAktWjRQtWrV3cZs3//fm3bts0ac8MNN+jw4cP65ptvrDFff/21Dh8+bI1BxVBYWKgdO3YoLCzM+sOL+VG1tWnTRjt37nRp+/HHHxUVFSVJzBNIklJTUxUcHKxu3bpZbcwNSFJ+fr6qVXP9a6OXl5e1/DnzBH/m5+ensLAwHTx4UMuXL9ftt99eOefIJV3aAuXmz6v2GfPHcpIBAQFm8eLF5vvvvzf33HPPGZeTbNCggVmxYoXZsmWL6dChwxmXk7zmmmvMhg0bzIYNG0zTpk1ZcrQCGDt2rFmzZo355ZdfzFdffWVuu+024+/vb3bt2mWMYX7gj69O8Pb2Ns8995xJT0838+fPN76+vmbevHnWGOZJ1Xby5EkTGRlpHn/88RJ9zA0MHDjQ1K9f31r+fPHixSYoKMg89thj1hjmCT799FPzf//3f+aXX34xn332mYmPjzfXX3+9OX78uDGm8s0RglQFdXqQKi4uNhMmTDChoaHG6XSam2++2Xz//fcu+xQUFJiHH37YBAYGmpo1a5rbbrvNZGZmuow5cOCA6d+/v/H39zf+/v6mf//+5uDBg5fginAhTn0PQ/Xq1U14eLjp2bOn2b59u9XP/IAxxvz73/82cXFxxul0mquuusq8+eabLv3Mk6pt+fLlRpLZuXNniT7mBnJzc82oUaNMZGSk8fHxMZdffrl56qmnTGFhoTWGeYJFixaZyy+/3NSoUcOEhoaaESNGmEOHDln9lW2OOIwx5tLeAwMAAACAio13pAAAAADAJoIUAAAAANhEkAIAAAAAmwhSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAJWGw+HQ0qVLS+1fs2aNHA6HDh06dMlqOpPZs2frsssuc2sNAIALQ5ACAFyQpKQkORwOPfjggyX6hg8fLofDoaSkpHI9Z3Jyspo1a1auxzxf2dnZGjZsmCIjI+V0OhUaGqouXbpow4YNbqkHAOAeBCkAwAWLiIjQwoULVVBQYLUdO3ZM7777riIjI91YWfnr1auXvv32W82ZM0c//vijli1bpnbt2un333+/pHUcP378kp4PAOCKIAUAuGDNmzdXZGSkFi9ebLUtXrxYERERuvbaa13GFhYW6i9/+YuCg4Pl4+OjG2+8URs3brT6Tz1+t3LlSrVs2VK+vr5KSEjQzp07Jf3xWNzEiRP17bffyuFwyOFwaPbs2db+OTk5uvPOO+Xr66uYmBgtW7bsjDUfPXpUtWvX1gcffODS/u9//1t+fn46cuRIiX0OHTqkdevW6YUXXlD79u0VFRWl66+/XuPHj1e3bt2scS+//LKaNm0qPz8/RUREaPjw4crLyyv19/fzzz/r9ttvV0hIiGrVqqXrrrtOK1ascBnTsGFDTZo0SUlJSQoICNDQoUPVoUMHPfzwwy7jDhw4IKfTqVWrVpV6PgDAhSNIAQDKxf3336/U1FRre9asWRo0aFCJcY899pg+/PBDzZkzR1u2bNEVV1yhLl26lLij89RTT+mll17Spk2b5O3tbR2rT58+Gjt2rJo0aaL9+/dr//796tOnj7XfxIkT1bt3b3333Xfq2rWr+vfvf8a7RX5+furbt69LzZKUmpqqu+66S/7+/iX2qVWrlmrVqqWlS5eqsLCw1N9FtWrV9Oqrr2rbtm2aM2eOVq1apccee6zU8Xl5eeratatWrFih//znP+rSpYu6d++uzMxMl3Evvvii4uLitHnzZj3zzDMaMmSIFixY4FLL/PnzFR4ervbt25d6PgBAOTAAAFyAgQMHmttvv9389ttvxul0moyMDLNr1y7j4+NjfvvtN3P77bebgQMHGmOMycvLM9WrVzfz58+39j9+/LgJDw83U6ZMMcYYs3r1aiPJrFixwhrz8ccfG0mmoKDAGGPMhAkTTHx8fIlaJJmnn37a2s7LyzMOh8P83//9n8uxDx48aIwx5uuvvzZeXl7m119/NcYY89tvv5nq1aubNWvWlHq9H3zwgalTp47x8fExCQkJZvz48ebbb7896+/ovffeM3Xr1rW2U1NTTUBAwFn3ufrqq820adOs7aioKHPHHXe4jDl27JgJDAw0ixYtstqaNWtmkpOTz3psAMCF444UAKBcBAUFqVu3bpozZ45SU1PVrVs3BQUFuYz5+eefVVRUpDZt2lht1atX1/XXX68dO3a4jL3mmmusn8PCwiT9sdDDufx5Pz8/P/n7+5e63/XXX68mTZpo7ty5kqR33nlHkZGRuvnmm0s9fq9evbRv3z4tW7ZMXbp00Zo1a9S8eXOXxwtXr16tTp06qX79+vL399d9992nAwcO6OjRo2c85tGjR/XYY4/p6quv1mWXXaZatWrphx9+KHFHqmXLli7bTqdTAwYM0KxZsyRJW7du1bffflvui3sAAEoiSAEAys2gQYM0e/ZszZkz54yP9RljJP2xTPnp7ae3Va9e3fr5VF9xcfE5a/jzfqf2Pdt+Q4YMsR7vS01N1f3331+iltP5+PioU6dO+utf/6r169crKSlJEyZMkCTt3r1bXbt2VVxcnD788ENt3rxZr732miSpqKjojMd79NFH9eGHH+q5557TF198oa1bt6pp06YlFpTw8/M7Y/1paWnau3evZs2apY4dOyoqKuqs9QMALhxBCgBQbm699VYdP35cx48fV5cuXUr0X3HFFapRo4bWrVtntRUVFWnTpk2KjY097/PUqFFDJ0+eLJeaBwwYoMzMTL366qvavn27Bg4caPsYV199tXW3adOmTTpx4oReeukltW7dWo0bN9a+ffvOuv8XX3yhpKQk3XnnnWratKlCQ0O1a9eu8zp306ZN1bJlS7311ltasGDBGQMsAKD8ebu7AABA5eHl5WU9oufl5VWi38/PTw899JAeffRRBQYGKjIyUlOmTFF+fr4GDx583udp2LChMjIytHXrVjVo0ED+/v5yOp1lqrlOnTrq2bOnHn30UXXu3FkNGjQodeyBAwd09913a9CgQbrmmmvk7++vTZs2acqUKbr99tslSY0aNdKJEyc0bdo0de/eXV9++aXeeOONs9ZwxRVXaPHixerevbscDoeeeeaZ87r7dsqQIUP08MMPy9fXV3feeed57wcAKDvuSAEAylXt2rVVu3btUvuff/559erVS/fee6+aN2+un376ScuXL1edOnXO+xy9evXSrbfeqvbt26tevXp69913L6jmwYMH6/jx4+e8m1OrVi21atVKU6dO1c0336y4uDg988wzGjp0qKZPny5JatasmV5++WW98MILiouL0/z585WSknLW406dOlV16tRRQkKCunfvri5duqh58+bnXf8999wjb29v9evXTz4+Pue9HwCg7Bzm1APrAABUUfPnz9eoUaO0b98+1ahRw93l2LZnzx41bNhQGzdutBXAAABlx6N9AIAqKz8/XxkZGUpJSdGwYcMqXIgqKirS/v379cQTT6h169aEKAC4hHi0DwBQZU2ZMkXNmjVTSEiIxo8f7+5ybPvyyy8VFRWlzZs3n/M9LABA+eLRPgAAAACwiTtSAAAAAGATQQoAAAAAbCJIAQAAAIBNBCkAAAAAsIkgBQAAAAA2EaQAAAAAwCaCFAAAAADYRJACAAAAAJv+HzC+YHzrZtyvAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting 'Monthly Salary'\n",
+    "\n",
+    "\"\"\" Salaries are relatively normally distributed, with a peak around $6500. \"\"\"\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.hist(employee['Monthly_Salary'], bins=20, color='skyblue', edgecolor='black')\n",
+    "plt.title('Distribution of Monthly Salary')\n",
+    "plt.xlabel('Monthly Salary')\n",
+    "plt.ylabel('People')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plotting 'Years at company'\n",
+    "\n",
+    "\"\"\" The majority of employees have been with the company for 6 to 10 years. \"\"\"\n",
+    "\n",
+    "bins = [0, 2, 5, 10, 20]\n",
+    "labels = ['0-2', '3-5', '6-10', '10+']\n",
+    "employee['Years_Range'] = pd.cut(employee['Years_At_Company'], bins=bins, labels=labels)\n",
+    "employee['Years_Range'].value_counts().plot.pie(autopct='%1.1f%%')\n",
+    "plt.title('Proportion of Employees by Years at Company')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 2. Data Quality Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "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>Employee_ID</th>\n",
+       "      <th>Department</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Job_Title</th>\n",
+       "      <th>Hire_Date</th>\n",
+       "      <th>Years_At_Company</th>\n",
+       "      <th>Education_Level</th>\n",
+       "      <th>Performance_Score</th>\n",
+       "      <th>Monthly_Salary</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Projects_Handled</th>\n",
+       "      <th>Overtime_Hours</th>\n",
+       "      <th>Sick_Days</th>\n",
+       "      <th>Remote_Work_Frequency</th>\n",
+       "      <th>Team_Size</th>\n",
+       "      <th>Training_Hours</th>\n",
+       "      <th>Promotions</th>\n",
+       "      <th>Employee_Satisfaction_Score</th>\n",
+       "      <th>Resigned</th>\n",
+       "      <th>Years_Range</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1994</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1995</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1996</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1997</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1998</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1999 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Employee_ID  Department  Gender    Age  Job_Title  Hire_Date  \\\n",
+       "0           False       False   False  False      False      False   \n",
+       "1           False       False   False  False      False      False   \n",
+       "2           False       False   False  False      False      False   \n",
+       "3           False       False   False  False      False      False   \n",
+       "4           False       False   False  False      False      False   \n",
+       "...           ...         ...     ...    ...        ...        ...   \n",
+       "1994        False       False   False  False      False      False   \n",
+       "1995        False       False   False  False      False      False   \n",
+       "1996        False       False   False  False      False      False   \n",
+       "1997        False       False   False  False      False      False   \n",
+       "1998        False       False   False  False      False      False   \n",
+       "\n",
+       "      Years_At_Company  Education_Level  Performance_Score  Monthly_Salary  \\\n",
+       "0                False            False              False           False   \n",
+       "1                False            False              False           False   \n",
+       "2                False            False              False           False   \n",
+       "3                False            False              False           False   \n",
+       "4                False            False              False           False   \n",
+       "...                ...              ...                ...             ...   \n",
+       "1994             False            False              False           False   \n",
+       "1995             False            False              False           False   \n",
+       "1996             False            False              False           False   \n",
+       "1997             False            False              False           False   \n",
+       "1998             False            False              False           False   \n",
+       "\n",
+       "      ...  Projects_Handled  Overtime_Hours  Sick_Days  Remote_Work_Frequency  \\\n",
+       "0     ...             False           False      False                  False   \n",
+       "1     ...             False           False      False                  False   \n",
+       "2     ...             False           False      False                  False   \n",
+       "3     ...             False           False      False                  False   \n",
+       "4     ...             False           False      False                  False   \n",
+       "...   ...               ...             ...        ...                    ...   \n",
+       "1994  ...             False           False      False                  False   \n",
+       "1995  ...             False           False      False                  False   \n",
+       "1996  ...             False           False      False                  False   \n",
+       "1997  ...             False           False      False                  False   \n",
+       "1998  ...             False           False      False                  False   \n",
+       "\n",
+       "      Team_Size  Training_Hours  Promotions  Employee_Satisfaction_Score  \\\n",
+       "0         False           False       False                        False   \n",
+       "1         False           False       False                        False   \n",
+       "2         False           False       False                        False   \n",
+       "3         False           False       False                        False   \n",
+       "4         False           False       False                        False   \n",
+       "...         ...             ...         ...                          ...   \n",
+       "1994      False           False       False                        False   \n",
+       "1995      False           False       False                        False   \n",
+       "1996      False           False       False                        False   \n",
+       "1997      False           False       False                        False   \n",
+       "1998      False           False       False                        False   \n",
+       "\n",
+       "      Resigned  Years_Range  \n",
+       "0        False        False  \n",
+       "1        False         True  \n",
+       "2        False        False  \n",
+       "3        False        False  \n",
+       "4        False        False  \n",
+       "...        ...          ...  \n",
+       "1994     False        False  \n",
+       "1995     False        False  \n",
+       "1996     False        False  \n",
+       "1997     False        False  \n",
+       "1998     False        False  \n",
+       "\n",
+       "[1999 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Searching for missing values in the Data Frame\n",
+    "missing_values = pd.isnull(employee)\n",
+    "missing_values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Missing values in each column: Employee_ID                      0\n",
+      "Department                       0\n",
+      "Gender                           0\n",
+      "Age                              0\n",
+      "Job_Title                        0\n",
+      "Hire_Date                        0\n",
+      "Years_At_Company                 0\n",
+      "Education_Level                  0\n",
+      "Performance_Score                0\n",
+      "Monthly_Salary                   0\n",
+      "Work_Hours_Per_Week              0\n",
+      "Projects_Handled                 0\n",
+      "Overtime_Hours                   0\n",
+      "Sick_Days                        0\n",
+      "Remote_Work_Frequency            0\n",
+      "Team_Size                        0\n",
+      "Training_Hours                   0\n",
+      "Promotions                       0\n",
+      "Employee_Satisfaction_Score      0\n",
+      "Resigned                         0\n",
+      "Years_Range                    181\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Count missing values in each column\n",
+    "missing_counts = missing_values.sum()\n",
+    "print(f\"Missing values in each column: {missing_counts}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of columns with missing values: 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Number of columns with missing values\n",
+    "\n",
+    "\"\"\" Just the column Years_Range that we've already created has missing values\"\"\"\n",
+    "\n",
+    "columns_with_missing = missing_counts[missing_counts > 0].count()\n",
+    "print(f\"Number of columns with missing values: {columns_with_missing}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "All columns have missing values: False\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Have all the columns values that are missing?\n",
+    "\n",
+    "all_columns_missing = missing_counts.all()\n",
+    "print(f\"All columns have missing values: {all_columns_missing}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total missing values in the Data Frame: 181\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate the total number of missing values\n",
+    "total_missing_values = missing_counts.sum()\n",
+    "print(f\"Total missing values in the Data Frame: {total_missing_values}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Clean DataFrame from duplicates\n",
+    "employee.drop_duplicates(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 3. Create Database and upload to MySQL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: pymysql in c:\\users\\crvid\\anaconda3\\lib\\site-packages (1.1.1)\n",
+      "Requirement already satisfied: cryptography in c:\\users\\crvid\\anaconda3\\lib\\site-packages (42.0.5)\n",
+      "Requirement already satisfied: cffi>=1.12 in c:\\users\\crvid\\anaconda3\\lib\\site-packages (from cryptography) (1.16.0)\n",
+      "Requirement already satisfied: pycparser in c:\\users\\crvid\\anaconda3\\lib\\site-packages (from cffi>=1.12->cryptography) (2.21)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install pymysql\n",
+    "!pip install cryptography"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Connection open\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 1: Establish a connection to MySQL\n",
+    "import pymysql\n",
+    "\n",
+    "cnx = pymysql.connect(user='root', password='Vidondo6699',\n",
+    "                      host='localhost')\n",
+    "\n",
+    "if cnx.open:\n",
+    "    print(\"Connection open\")\n",
+    "else:\n",
+    "    print(\"Connection is not successfully open\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 2: Create a cursor object to execute SQL queries\n",
+    "cursor = cnx.cursor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Step 3: Create a new database\n",
+    "query = \"CREATE DATABASE IF NOT EXISTS employee_productivity\"\n",
+    "cursor.execute(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('bank',)\n",
+      "('cars',)\n",
+      "('employee_productivity',)\n",
+      "('gambling',)\n",
+      "('information_schema',)\n",
+      "('mysql',)\n",
+      "('performance_schema',)\n",
+      "('publications',)\n",
+      "('sakila',)\n",
+      "('sys',)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 4: Confirm the database is created\n",
+    "cursor.execute(\"SHOW DATABASES\")\n",
+    "for db in cursor:\n",
+    "    print(db)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Step 5: Select to use the new database\n",
+    "query = \"USE employee_productivity\"\n",
+    "cursor.execute(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Step 6: Write the SQL query to create a table\n",
+    "query = \"\"\"CREATE TABLE IF NOT EXISTS employee (\n",
+    "        Employee_Id INT PRIMARY KEY,\n",
+    "        Gender VARCHAR(20),\n",
+    "        Age INT,\n",
+    "        Department VARCHAR(255),\n",
+    "        Job_Title VARCHAR(255),\n",
+    "        Hire_Date DATE,\n",
+    "        Years_At_Company INT,\n",
+    "        Education_Level VARCHAR(255)\n",
+    "        )\"\"\"\n",
+    "\n",
+    "cursor.execute(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create another table\n",
+    "query = \"\"\"CREATE TABLE IF NOT EXISTS seniority (\n",
+    "        Seniority_ID INT AUTO_INCREMENT PRIMARY KEY,\n",
+    "        Employee_ID INT,\n",
+    "        Performance_Score INT,\n",
+    "        Work_Hours_Per_Week INT,\n",
+    "        Overtime_Hours INT,\n",
+    "        Projects_Handled INT,\n",
+    "        Promotions INT,\n",
+    "        FOREIGN KEY (Employee_ID) REFERENCES employee(Employee_ID)\n",
+    "        )\"\"\"\n",
+    "\n",
+    "cursor.execute(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "OperationalError",
+     "evalue": "(1060, \"Duplicate column name 'Monthly_Salary'\")",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mOperationalError\u001b[0m                          Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[25], line 6\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# Add a column to an existing table\u001b[39;00m\n\u001b[0;32m      2\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\"\"\u001b[39m\u001b[38;5;124mALTER TABLE seniority\u001b[39m\n\u001b[0;32m      3\u001b[0m \u001b[38;5;124m        ADD COLUMN Monthly_Salary DECIMAL(10, 2);\u001b[39m\n\u001b[0;32m      4\u001b[0m \u001b[38;5;124m        \u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m----> 6\u001b[0m cursor\u001b[38;5;241m.\u001b[39mexecute(query)\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\cursors.py:153\u001b[0m, in \u001b[0;36mCursor.execute\u001b[1;34m(self, query, args)\u001b[0m\n\u001b[0;32m    149\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[0;32m    151\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmogrify(query, args)\n\u001b[1;32m--> 153\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_query(query)\n\u001b[0;32m    154\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_executed \u001b[38;5;241m=\u001b[39m query\n\u001b[0;32m    155\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\cursors.py:322\u001b[0m, in \u001b[0;36mCursor._query\u001b[1;34m(self, q)\u001b[0m\n\u001b[0;32m    320\u001b[0m conn \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_db()\n\u001b[0;32m    321\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clear_result()\n\u001b[1;32m--> 322\u001b[0m conn\u001b[38;5;241m.\u001b[39mquery(q)\n\u001b[0;32m    323\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_do_get_result()\n\u001b[0;32m    324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrowcount\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\connections.py:563\u001b[0m, in \u001b[0;36mConnection.query\u001b[1;34m(self, sql, unbuffered)\u001b[0m\n\u001b[0;32m    561\u001b[0m     sql \u001b[38;5;241m=\u001b[39m sql\u001b[38;5;241m.\u001b[39mencode(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mencoding, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msurrogateescape\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    562\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_execute_command(COMMAND\u001b[38;5;241m.\u001b[39mCOM_QUERY, sql)\n\u001b[1;32m--> 563\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_affected_rows \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_read_query_result(unbuffered\u001b[38;5;241m=\u001b[39munbuffered)\n\u001b[0;32m    564\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_affected_rows\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\connections.py:825\u001b[0m, in \u001b[0;36mConnection._read_query_result\u001b[1;34m(self, unbuffered)\u001b[0m\n\u001b[0;32m    823\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    824\u001b[0m     result \u001b[38;5;241m=\u001b[39m MySQLResult(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m--> 825\u001b[0m     result\u001b[38;5;241m.\u001b[39mread()\n\u001b[0;32m    826\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result \u001b[38;5;241m=\u001b[39m result\n\u001b[0;32m    827\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m result\u001b[38;5;241m.\u001b[39mserver_status \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\connections.py:1199\u001b[0m, in \u001b[0;36mMySQLResult.read\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m   1197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mread\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m   1198\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1199\u001b[0m         first_packet \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconnection\u001b[38;5;241m.\u001b[39m_read_packet()\n\u001b[0;32m   1201\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m first_packet\u001b[38;5;241m.\u001b[39mis_ok_packet():\n\u001b[0;32m   1202\u001b[0m             \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_read_ok_packet(first_packet)\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\connections.py:775\u001b[0m, in \u001b[0;36mConnection._read_packet\u001b[1;34m(self, packet_type)\u001b[0m\n\u001b[0;32m    773\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\u001b[38;5;241m.\u001b[39munbuffered_active \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[0;32m    774\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_result\u001b[38;5;241m.\u001b[39munbuffered_active \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m--> 775\u001b[0m     packet\u001b[38;5;241m.\u001b[39mraise_for_error()\n\u001b[0;32m    776\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m packet\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\protocol.py:219\u001b[0m, in \u001b[0;36mMysqlPacket.raise_for_error\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    217\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEBUG:\n\u001b[0;32m    218\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124merrno =\u001b[39m\u001b[38;5;124m\"\u001b[39m, errno)\n\u001b[1;32m--> 219\u001b[0m err\u001b[38;5;241m.\u001b[39mraise_mysql_exception(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_data)\n",
+      "File \u001b[1;32mc:\\Users\\crvid\\anaconda3\\Lib\\site-packages\\pymysql\\err.py:150\u001b[0m, in \u001b[0;36mraise_mysql_exception\u001b[1;34m(data)\u001b[0m\n\u001b[0;32m    148\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m errorclass \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    149\u001b[0m     errorclass \u001b[38;5;241m=\u001b[39m InternalError \u001b[38;5;28;01mif\u001b[39;00m errno \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m1000\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m OperationalError\n\u001b[1;32m--> 150\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m errorclass(errno, errval)\n",
+      "\u001b[1;31mOperationalError\u001b[0m: (1060, \"Duplicate column name 'Monthly_Salary'\")"
+     ]
+    }
+   ],
+   "source": [
+    "# Add a column to an existing table\n",
+    "query = \"\"\"ALTER TABLE seniority\n",
+    "        ADD COLUMN Monthly_Salary DECIMAL(10, 2);\n",
+    "        \"\"\"\n",
+    "\n",
+    "cursor.execute(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Create one more table\n",
+    "query = \"\"\"CREATE TABLE IF NOT EXISTS satisfaction (\n",
+    "        Satisfaction_ID INT AUTO_INCREMENT PRIMARY KEY,\n",
+    "        Employee_ID INT,\n",
+    "        Employee_Satisfaction_Score DECIMAL(3, 2),\n",
+    "        Sick_Days INT,\n",
+    "        Remote_Work_Frequency INT,\n",
+    "        Team_Size INT,\n",
+    "        Training_Hours INT,\n",
+    "        Resigned BOOLEAN,\n",
+    "        FOREIGN KEY (Employee_ID) REFERENCES employee(Employee_ID)\n",
+    "        )\"\"\"\n",
+    "\n",
+    "cursor.execute(query)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('employee',)\n",
+      "('satisfaction',)\n",
+      "('seniority',)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Step 7: Confirm the tables have been created\n",
+    "cursor.execute(\"SHOW TABLES\")\n",
+    "for table in cursor:\n",
+    "    print(table)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Step 8: Comit and close the connection\n",
+    "\"\"\" The Python Wrapper for MSQL has generated changes to the database which must now be committed. It's like \"Saving\" the changes made \"\"\"\n",
+    "cnx.commit()\n",
+    "\n",
+    "\"\"\" The cursor object has done it's job \"\"\"\n",
+    "cursor.close()\n",
+    "\n",
+    "\"\"\" and we now close the connection, you must always do this (good practice) or else the database might not be responsive to other connections. \"\"\"\n",
+    "cnx.close() "
+   ]
+  }
+ ],
+ "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
+}
diff --git a/Queries.sql b/Queries.sql
new file mode 100644
index 0000000..3be01fb
--- /dev/null
+++ b/Queries.sql
@@ -0,0 +1,71 @@
+/* Query 1.	What is the average employee satisfaction score (0-5) by department? */
+SELECT Department, AVG(Employee_Satisfaction_Score)
+FROM satisfaction
+INNER JOIN employee
+ON satisfaction.Employee_ID = employee.Employee_ID
+GROUP BY Department;
+
+
+/* Query 2.	Which departments have the highest number of employee resignations? */
+SELECT Department, Resigned, COUNT(Resigned)
+FROM employee
+INNER JOIN satisfaction
+ON employee.Employee_Id = satisfaction.Employee_Id
+GROUP BY Department, Resigned
+HAVING Resigned = "True"
+ORDER BY COUNT(Resigned) DESC;
+
+
+/* Query 3.	What is the average number of projects handled by employees in each department? */
+SELECT Department, AVG(Projects_Handled)
+FROM seniority
+INNER JOIN employee
+ON seniority.Employee_Id = employee.Employee_Id
+GROUP BY Department
+ORDER BY AVG(Projects_Handled) DESC;
+
+
+/* Query 4.	How does remote work frequency affect employee performance scores (1-5)? */
+SELECT Remote_Work_Frequency, AVG(Performance_Score)
+FROM satisfaction
+INNER JOIN seniority
+ON satisfaction.Employee_Id = seniority.Employee_Id
+GROUP BY Remote_Work_Frequency
+ORDER BY Remote_Work_Frequency DESC;
+
+
+/* Query 5.	How do training hours impact employee satisfaction and performance? */
+SELECT Training_Hours, AVG(Employee_Satisfaction_Score), AVG(Performance_Score)
+FROM satisfaction
+INNER JOIN seniority
+ON satisfaction.Employee_Id = seniority.Employee_ID
+GROUP BY Training_Hours
+ORDER BY AVG(Performance_Score) DESC;
+
+
+/* Query 6. Does working a lot of overtime (>5 hours) make it more likely that an employee will get a promotion? */
+SELECT 
+    COUNT(Employee_ID) AS Employees_With_Significant_Overtime,
+    SUM(Promotions) AS Promotions_For_Significant_Overtime,
+    (SUM(Promotions) / COUNT(Employee_Id)) * 100 AS Promotion_Rate
+FROM 
+    seniority
+WHERE 
+    Overtime_Hours > 5;
+    
+
+/* Query 7. What is the age distribution of employees across different job titles? */
+SELECT COUNT(Employee_Id), Job_Title, AVG(Age), MAX(Age) AS "Oldest Employee", MIN(Age) AS "Youngest Employee"
+FROM employee
+GROUP BY Job_Title
+ORDER BY AVG(Age) DESC;
+
+
+/* Query 8. Which job titles have the highest salaries and number of promotions */
+SELECT Job_Title, AVG(Monthly_Salary), SUM(Promotions)
+FROM employee
+INNER JOIN seniority
+ON employee.Employee_Id = seniority.Employee_Id
+GROUP BY Job_Title
+ORDER BY AVG(Monthly_Salary) DESC;
+
diff --git a/dataset/employee.csv b/dataset/employee.csv
new file mode 100644
index 0000000..456b174
--- /dev/null
+++ b/dataset/employee.csv
@@ -0,0 +1,2000 @@
+Employee_ID,Department,Gender,Age,Job_Title,Hire_Date,Years_At_Company,Education_Level,Performance_Score,Monthly_Salary,Work_Hours_Per_Week,Projects_Handled,Overtime_Hours,Sick_Days,Remote_Work_Frequency,Team_Size,Training_Hours,Promotions,Employee_Satisfaction_Score,Resigned
+1,IT,Male,55,Specialist,2022-01-19 08:03:05.556036,2,High School,5,6750.0,33,32,22,2,0,14,66,0,2.63,False
+2,Finance,Male,29,Developer,2024-04-18 08:03:05.556036,0,High School,5,7500.0,34,34,13,14,100,12,61,2,1.72,False
+3,Finance,Male,55,Specialist,2015-10-26 08:03:05.556036,8,High School,3,5850.0,37,27,6,3,50,10,1,0,3.17,False
+4,Customer Support,Female,48,Analyst,2016-10-22 08:03:05.556036,7,Bachelor,2,4800.0,52,10,28,12,100,10,0,1,1.86,False
+5,Engineering,Female,36,Analyst,2021-07-23 08:03:05.556036,3,Bachelor,2,4800.0,38,11,29,13,100,15,9,1,1.25,False
+6,IT,Male,43,Manager,2016-08-14 08:03:05.556036,8,High School,3,7800.0,46,31,8,0,100,15,95,0,2.77,False
+7,IT,Male,37,Technician,2023-08-28 08:03:05.556036,1,Bachelor,5,5250.0,55,20,29,2,0,16,27,0,4.46,False
+8,Engineering,Female,55,Engineer,2014-10-27 08:03:05.556036,9,Bachelor,2,7200.0,42,46,7,8,100,7,64,0,2.09,False
+9,Marketing,Female,55,Technician,2023-06-29 08:03:05.556036,1,High School,2,4200.0,51,23,21,14,0,1,0,1,1.44,False
+10,Engineering,Female,45,Consultant,2016-12-23 08:03:05.556036,7,Bachelor,1,6050.0,41,33,2,6,75,4,53,2,2.93,False
+11,Customer Support,Male,52,Engineer,2019-11-26 08:03:05.556036,4,Bachelor,3,7800.0,38,1,5,0,25,4,90,1,2.34,False
+12,Customer Support,Male,27,Technician,2015-02-19 08:03:05.556036,9,Bachelor,5,5250.0,39,13,2,13,25,5,88,0,1.96,False
+13,HR,Male,51,Technician,2019-07-04 08:03:05.556036,5,Bachelor,4,4900.0,31,11,16,1,75,7,17,2,2.13,False
+14,Engineering,Male,27,Analyst,2014-10-14 08:03:05.556036,9,Bachelor,4,5600.0,33,30,5,13,25,4,26,1,1.46,False
+15,Finance,Male,46,Analyst,2023-03-11 08:03:05.556036,1,Master,1,4400.0,33,49,13,1,100,13,37,1,2.22,False
+16,Customer Support,Male,26,Developer,2023-04-19 08:03:05.556036,1,High School,2,6000.0,33,41,9,13,50,3,46,1,2.42,False
+17,Operations,Male,29,Engineer,2019-09-21 08:03:05.556036,4,Bachelor,2,7200.0,43,26,29,12,0,6,76,2,3.15,False
+18,Sales,Other,28,Developer,2022-11-08 08:03:05.556036,1,High School,3,6500.0,47,36,6,12,75,12,54,0,1.19,False
+19,Customer Support,Other,56,Developer,2015-10-01 08:03:05.556036,8,Bachelor,1,5500.0,57,9,24,1,75,1,36,0,1.12,False
+20,Finance,Male,23,Technician,2015-05-08 08:03:05.556036,9,High School,2,4200.0,52,0,9,1,0,5,66,0,3.91,False
+21,Operations,Female,33,Manager,2022-12-19 08:03:05.556036,1,Bachelor,1,6600.0,33,28,13,13,50,15,53,2,3.7,False
+22,Sales,Male,59,Manager,2017-05-25 08:03:05.556036,7,Master,5,9000.0,30,22,9,2,25,4,20,0,4.66,False
+23,Finance,Male,26,Specialist,2016-07-23 08:03:05.556036,8,High School,4,6300.0,48,40,9,13,0,13,71,2,3.68,False
+24,Sales,Male,58,Consultant,2018-01-21 08:03:05.556036,6,Master,2,6600.0,55,2,28,8,25,6,78,2,4.26,False
+25,HR,Female,38,Analyst,2018-06-23 08:03:05.556036,6,Bachelor,2,4800.0,50,21,24,11,25,7,49,1,4.43,False
+26,Customer Support,Male,38,Specialist,2022-05-03 08:03:05.556036,2,Bachelor,5,6750.0,59,24,0,13,25,3,9,2,2.12,False
+27,Finance,Male,45,Engineer,2021-07-12 08:03:05.556036,3,Bachelor,2,7200.0,59,24,23,6,0,7,26,1,3.16,False
+28,Legal,Male,43,Manager,2014-11-22 08:03:05.556036,9,Master,3,7800.0,44,42,3,10,75,4,45,2,1.35,True
+29,Engineering,Male,53,Specialist,2022-04-17 08:03:05.556036,2,Bachelor,2,5400.0,31,34,14,6,50,6,42,1,4.52,False
+30,Finance,Male,52,Analyst,2023-06-21 08:03:05.556036,1,High School,3,5200.0,45,25,29,9,25,2,37,2,4.95,False
+31,Customer Support,Male,58,Consultant,2018-05-14 08:03:05.556036,6,Bachelor,1,6050.0,38,15,25,2,50,12,16,2,4.65,False
+32,Legal,Female,24,Manager,2023-06-12 08:03:05.556036,1,High School,4,8400.0,39,25,7,7,50,18,22,0,1.95,False
+33,Customer Support,Male,29,Analyst,2024-06-13 08:03:05.556036,0,High School,2,4800.0,48,49,16,14,50,17,37,0,4.43,False
+34,Sales,Female,25,Engineer,2021-09-11 08:03:05.556036,2,PhD,4,8400.0,44,26,24,8,75,18,37,2,2.1,False
+35,Marketing,Male,41,Analyst,2019-05-23 08:03:05.556036,5,Master,4,5600.0,34,13,0,10,75,14,36,1,1.94,False
+36,HR,Female,42,Engineer,2019-10-12 08:03:05.556036,4,Master,5,9000.0,31,9,18,11,100,8,21,1,4.21,False
+37,Sales,Male,43,Consultant,2024-04-04 08:03:05.556036,0,High School,2,6600.0,53,42,10,2,0,16,18,1,4.97,False
+38,Sales,Other,46,Consultant,2015-01-13 08:03:05.556036,9,Master,2,6600.0,31,6,15,7,0,2,48,0,2.47,False
+39,IT,Male,48,Specialist,2022-02-03 08:03:05.556036,2,Bachelor,1,4950.0,46,7,1,1,0,11,6,1,2.66,False
+40,HR,Female,58,Engineer,2023-04-11 08:03:05.556036,1,Bachelor,5,9000.0,44,2,2,8,100,14,85,1,4.22,False
+41,HR,Female,44,Analyst,2020-12-25 08:03:05.556036,3,Bachelor,2,4800.0,59,45,9,13,0,16,28,2,2.9,True
+42,Marketing,Male,29,Specialist,2021-10-31 08:03:05.556036,2,High School,4,6300.0,33,10,6,2,25,8,28,2,4.84,False
+43,Customer Support,Male,60,Engineer,2016-08-11 08:03:05.556036,8,Bachelor,3,7800.0,46,48,4,6,75,13,21,0,3.59,False
+44,Marketing,Female,43,Manager,2021-05-21 08:03:05.556036,3,High School,3,7800.0,43,25,2,3,0,7,85,0,3.32,False
+45,Customer Support,Female,46,Developer,2021-03-03 08:03:05.556036,3,Master,2,6000.0,58,7,29,3,25,12,4,1,2.53,False
+46,HR,Female,29,Specialist,2016-06-12 08:03:05.556036,8,High School,2,5400.0,31,19,11,6,75,7,90,1,1.59,False
+47,HR,Male,32,Technician,2021-04-03 08:03:05.556036,3,Bachelor,4,4900.0,41,19,26,1,75,5,21,2,1.27,False
+48,Operations,Male,31,Specialist,2023-11-23 08:03:05.556036,0,Bachelor,1,4950.0,45,31,20,2,75,15,82,2,4.84,False
+49,Legal,Male,40,Specialist,2016-06-02 08:03:05.556036,8,High School,5,6750.0,59,49,0,2,100,17,13,1,2.9,False
+50,Operations,Other,57,Developer,2020-01-24 08:03:05.556036,4,High School,2,6000.0,53,10,19,13,50,3,15,0,1.47,False
+51,Legal,Female,35,Consultant,2019-09-13 08:03:05.556036,4,Bachelor,1,6050.0,55,26,29,4,100,2,28,1,3.02,False
+52,HR,Male,40,Developer,2017-03-21 08:03:05.556036,7,Bachelor,2,6000.0,46,9,12,8,25,10,18,1,1.43,False
+53,Engineering,Male,28,Consultant,2015-06-03 08:03:05.556036,9,Bachelor,3,7150.0,38,34,4,3,0,5,12,0,2.56,False
+54,Engineering,Female,37,Technician,2015-10-24 08:03:05.556036,8,High School,2,4200.0,50,22,0,8,100,1,92,1,1.1,False
+55,Operations,Female,34,Technician,2015-08-15 08:03:05.556036,9,High School,5,5250.0,32,26,6,6,25,3,68,1,1.87,True
+56,Marketing,Female,34,Developer,2021-11-25 08:03:05.556036,2,Bachelor,3,6500.0,41,18,21,3,75,8,7,0,1.7,False
+57,Customer Support,Female,33,Specialist,2016-04-17 08:03:05.556036,8,PhD,1,4950.0,33,46,28,8,75,1,36,2,2.64,True
+58,Finance,Male,23,Developer,2019-07-21 08:03:05.556036,5,Bachelor,4,7000.0,32,42,8,12,0,3,27,2,3.97,False
+59,IT,Other,52,Technician,2024-07-03 08:03:05.556036,0,High School,3,4550.0,53,7,5,2,25,12,74,2,4.23,True
+60,Customer Support,Female,54,Manager,2019-09-05 08:03:05.556036,5,Bachelor,1,6600.0,51,17,19,8,50,5,99,1,3.02,False
+61,Operations,Female,34,Consultant,2021-05-21 08:03:05.556036,3,Bachelor,2,6600.0,40,17,14,4,50,6,20,1,2.32,False
+62,Engineering,Male,53,Specialist,2017-07-11 08:03:05.556036,7,High School,5,6750.0,43,44,0,13,75,16,75,2,2.15,False
+63,Sales,Male,27,Manager,2018-05-23 08:03:05.556036,6,Bachelor,3,7800.0,44,29,12,0,75,18,73,1,2.26,False
+64,Finance,Female,58,Manager,2018-01-23 08:03:05.556036,6,High School,4,8400.0,50,10,14,9,25,17,21,0,1.68,True
+65,Sales,Female,41,Specialist,2018-11-19 08:03:05.556036,5,Bachelor,1,4950.0,41,37,13,9,75,5,3,0,4.33,False
+66,Legal,Male,37,Technician,2024-07-16 08:03:05.556036,0,Bachelor,4,4900.0,54,32,4,3,25,2,12,1,2.13,False
+67,Sales,Male,49,Manager,2017-01-03 08:03:05.556036,7,Master,2,7200.0,55,30,19,0,75,19,93,0,4.26,False
+68,HR,Male,39,Consultant,2024-08-14 08:03:05.556036,0,Bachelor,2,6600.0,53,10,17,14,50,3,64,2,2.45,False
+69,Operations,Female,38,Specialist,2016-07-21 08:03:05.556036,8,Bachelor,4,6300.0,52,6,9,6,0,5,9,0,2.42,False
+70,Sales,Male,52,Manager,2015-11-26 08:03:05.556036,8,Master,1,6600.0,32,2,13,11,25,16,8,0,4.45,False
+71,IT,Female,42,Developer,2023-01-13 08:03:05.556036,1,High School,1,5500.0,53,20,13,8,100,8,75,1,4.49,False
+72,Engineering,Female,42,Analyst,2023-07-17 08:03:05.556036,1,Master,4,5600.0,53,1,16,11,50,11,15,2,3.55,False
+73,Sales,Female,33,Developer,2023-01-08 08:03:05.556036,1,Bachelor,2,6000.0,36,42,15,1,0,5,41,0,1.31,False
+74,Legal,Female,47,Developer,2020-01-18 08:03:05.556036,4,Bachelor,2,6000.0,37,6,15,1,0,12,8,1,4.98,False
+75,HR,Female,33,Consultant,2024-04-29 08:03:05.556036,0,High School,2,6600.0,31,6,24,10,75,10,1,1,1.39,False
+76,Engineering,Male,47,Consultant,2018-04-11 08:03:05.556036,6,High School,4,7700.0,55,36,22,3,100,10,84,1,1.75,False
+77,Customer Support,Male,31,Technician,2017-05-24 08:03:05.556036,7,PhD,3,4550.0,32,46,19,0,50,19,82,0,3.2,False
+78,Sales,Male,28,Developer,2020-10-17 08:03:05.556036,3,Master,5,7500.0,42,28,6,6,25,1,38,1,3.55,False
+79,Legal,Male,46,Consultant,2016-02-05 08:03:05.556036,8,High School,3,7150.0,60,36,27,13,25,5,94,2,3.5,True
+80,Customer Support,Female,54,Specialist,2019-02-20 08:03:05.556036,5,High School,1,4950.0,31,27,5,6,0,12,53,1,2.09,False
+81,Legal,Female,55,Developer,2024-05-07 08:03:05.556036,0,Master,3,6500.0,38,12,25,6,100,13,94,0,3.75,False
+82,Customer Support,Female,23,Specialist,2016-12-14 08:03:05.556036,7,High School,3,5850.0,40,19,14,14,100,14,0,0,3.4,True
+83,Engineering,Male,46,Analyst,2021-06-23 08:03:05.556036,3,Bachelor,2,4800.0,35,24,10,13,0,4,85,0,1.33,False
+84,HR,Female,28,Analyst,2016-03-23 08:03:05.556036,8,Master,1,4400.0,53,38,22,14,100,17,67,2,2.17,False
+85,Marketing,Female,46,Specialist,2015-09-16 08:03:05.556036,8,Bachelor,2,5400.0,44,16,13,13,100,11,0,1,4.27,False
+86,Legal,Female,59,Engineer,2015-02-11 08:03:05.556036,9,Bachelor,4,8400.0,33,11,7,4,100,5,40,2,2.37,False
+87,Marketing,Male,55,Technician,2019-11-14 08:03:05.556036,4,PhD,3,4550.0,59,1,9,1,25,17,59,2,1.77,False
+88,Marketing,Male,52,Technician,2019-07-05 08:03:05.556036,5,Bachelor,2,4200.0,33,45,2,4,50,18,12,0,1.11,False
+89,Finance,Female,27,Engineer,2023-11-06 08:03:05.556036,0,Master,2,7200.0,31,1,25,5,0,15,22,1,2.08,False
+90,Customer Support,Female,39,Manager,2018-01-19 08:03:05.556036,6,Bachelor,4,8400.0,33,11,10,2,100,9,53,0,3.22,False
+91,Customer Support,Male,55,Consultant,2024-03-15 08:03:05.556036,0,Bachelor,2,6600.0,44,42,5,6,0,9,26,2,3.23,True
+92,Legal,Male,48,Developer,2019-07-13 08:03:05.556036,5,Bachelor,1,5500.0,42,11,26,12,100,15,84,1,3.69,True
+93,Finance,Male,50,Manager,2023-11-09 08:03:05.556036,0,High School,4,8400.0,54,9,29,7,25,15,3,2,3.66,False
+94,Engineering,Male,52,Specialist,2021-04-23 08:03:05.556036,3,High School,4,6300.0,44,19,10,7,50,1,81,1,4.1,False
+95,Operations,Male,52,Developer,2015-07-06 08:03:05.556036,9,High School,1,5500.0,47,4,19,10,0,19,33,0,4.36,False
+96,Marketing,Female,30,Manager,2019-04-11 08:03:05.556036,5,High School,3,7800.0,49,24,20,2,50,19,43,2,1.03,True
+97,Engineering,Male,58,Specialist,2015-04-14 08:03:05.556036,9,PhD,3,5850.0,45,24,16,12,50,7,0,0,2.34,False
+98,Finance,Female,38,Manager,2015-12-31 08:03:05.556036,8,High School,3,7800.0,41,31,12,10,75,9,64,0,4.2,False
+99,Sales,Male,24,Developer,2019-11-15 08:03:05.556036,4,Bachelor,2,6000.0,50,33,0,9,0,13,37,1,4.39,False
+100,Customer Support,Other,33,Manager,2017-12-01 08:03:05.556036,6,Bachelor,3,7800.0,36,9,10,14,25,13,30,1,3.19,True
+101,Finance,Female,45,Engineer,2017-12-29 08:03:05.556036,6,High School,4,8400.0,35,0,18,14,75,17,48,0,3.42,False
+102,IT,Female,33,Consultant,2019-11-22 08:03:05.556036,4,High School,1,6050.0,54,31,11,3,0,2,48,1,3.63,True
+103,IT,Male,33,Consultant,2020-01-07 08:03:05.556036,4,Bachelor,3,7150.0,49,45,29,2,75,6,57,2,5.0,True
+104,Engineering,Male,58,Consultant,2018-01-20 08:03:05.556036,6,Bachelor,4,7700.0,59,44,18,13,100,12,53,1,2.13,False
+105,Customer Support,Female,55,Technician,2019-05-21 08:03:05.556036,5,High School,1,3850.0,58,1,1,0,0,4,29,1,2.3,False
+106,Customer Support,Male,46,Manager,2021-09-13 08:03:05.556036,2,Bachelor,4,8400.0,36,1,6,9,50,17,10,0,2.94,False
+107,HR,Female,22,Developer,2020-12-17 08:03:05.556036,3,Bachelor,4,7000.0,34,8,17,12,100,16,1,0,2.8,False
+108,Operations,Female,37,Engineer,2015-01-26 08:03:05.556036,9,Bachelor,4,8400.0,56,26,7,9,100,15,12,2,4.68,False
+109,Sales,Male,56,Consultant,2018-08-02 08:03:05.556036,6,Bachelor,1,6050.0,51,24,2,11,75,3,82,1,2.7,False
+110,Sales,Male,36,Consultant,2018-09-23 08:03:05.556036,5,High School,5,8250.0,50,32,28,5,50,9,56,0,1.64,False
+111,IT,Male,43,Technician,2023-09-08 08:03:05.556036,0,Bachelor,2,4200.0,48,33,4,7,25,12,75,2,4.8,False
+112,Finance,Male,39,Analyst,2018-11-06 08:03:05.556036,5,Bachelor,1,4400.0,31,5,25,12,75,3,34,0,3.51,False
+113,Legal,Female,30,Technician,2017-05-07 08:03:05.556036,7,Master,4,4900.0,34,14,12,8,25,2,59,0,4.5,False
+114,Customer Support,Male,35,Consultant,2024-06-07 08:03:05.556036,0,Bachelor,4,7700.0,43,14,0,14,75,5,31,2,3.58,False
+115,Legal,Female,48,Specialist,2023-06-08 08:03:05.556036,1,Bachelor,2,5400.0,32,24,1,0,25,11,88,1,1.58,False
+116,Customer Support,Female,56,Analyst,2021-04-26 08:03:05.556036,3,Bachelor,5,6000.0,43,5,29,8,100,11,96,0,2.47,False
+117,Legal,Male,26,Manager,2021-04-30 08:03:05.556036,3,High School,5,9000.0,33,4,15,3,75,17,44,2,3.24,False
+118,IT,Male,38,Consultant,2016-06-10 08:03:05.556036,8,PhD,4,7700.0,54,44,17,3,0,1,81,1,4.2,False
+119,IT,Female,27,Manager,2020-01-22 08:03:05.556036,4,Bachelor,5,9000.0,49,12,27,10,25,19,4,1,2.87,False
+120,Finance,Male,29,Specialist,2021-07-10 08:03:05.556036,3,Bachelor,3,5850.0,47,15,6,1,25,11,65,0,4.37,False
+121,Customer Support,Male,26,Specialist,2019-03-21 08:03:05.556036,5,Bachelor,1,4950.0,49,2,12,6,75,6,23,1,4.17,False
+122,Legal,Female,25,Technician,2019-11-27 08:03:05.556036,4,High School,1,3850.0,30,42,4,11,75,6,13,1,2.94,True
+123,Operations,Female,44,Manager,2015-08-12 08:03:05.556036,9,Bachelor,4,8400.0,53,11,28,5,0,12,60,1,4.47,False
+124,Finance,Male,46,Consultant,2014-11-04 08:03:05.556036,9,Bachelor,4,7700.0,35,31,19,7,75,14,19,0,1.14,False
+125,IT,Male,28,Engineer,2020-11-03 08:03:05.556036,3,High School,3,7800.0,46,4,12,7,0,1,36,2,1.39,False
+126,Marketing,Male,34,Developer,2015-11-10 08:03:05.556036,8,High School,1,5500.0,56,6,3,12,0,6,60,0,4.65,False
+127,Engineering,Other,59,Consultant,2014-10-01 08:03:05.556036,9,Bachelor,2,6600.0,50,44,17,0,100,16,35,0,4.4,False
+128,Sales,Male,31,Consultant,2022-06-16 08:03:05.556036,2,Bachelor,2,6600.0,59,27,22,6,100,1,44,2,1.74,False
+129,Sales,Male,51,Developer,2023-06-17 08:03:05.556036,1,High School,5,7500.0,45,8,7,6,50,12,66,2,1.24,True
+130,Sales,Other,29,Engineer,2020-05-27 08:03:05.556036,4,Bachelor,1,6600.0,39,10,25,1,100,1,66,2,1.61,False
+131,Engineering,Male,47,Specialist,2015-04-17 08:03:05.556036,9,Master,5,6750.0,34,14,27,6,50,15,97,2,2.84,True
+132,HR,Male,32,Technician,2023-12-17 08:03:05.556036,0,Bachelor,5,5250.0,52,14,28,5,25,17,34,0,2.87,False
+133,Marketing,Female,55,Manager,2020-10-06 08:03:05.556036,3,High School,3,7800.0,49,9,15,9,75,12,92,0,1.96,False
+134,Operations,Female,29,Consultant,2019-05-01 08:03:05.556036,5,High School,2,6600.0,55,41,13,2,25,13,44,1,3.83,False
+135,Operations,Male,24,Consultant,2022-08-10 08:03:05.556036,2,Bachelor,2,6600.0,39,24,0,12,25,11,63,0,3.79,False
+136,Sales,Male,23,Analyst,2021-10-06 08:03:05.556036,2,Bachelor,5,6000.0,56,28,29,1,0,12,94,0,3.03,False
+137,Legal,Female,35,Analyst,2017-01-11 08:03:05.556036,7,Bachelor,2,4800.0,46,21,17,2,25,6,9,1,1.25,False
+138,Customer Support,Male,28,Manager,2019-03-26 08:03:05.556036,5,Master,5,9000.0,40,9,12,2,100,17,34,2,4.83,False
+139,Finance,Male,38,Technician,2018-11-01 08:03:05.556036,5,High School,2,4200.0,34,24,23,0,100,12,22,0,1.12,False
+140,Legal,Female,39,Specialist,2022-12-21 08:03:05.556036,1,High School,1,4950.0,44,4,5,5,50,4,11,0,4.38,False
+141,Engineering,Female,23,Analyst,2019-01-15 08:03:05.556036,5,Bachelor,2,4800.0,35,20,11,1,25,13,16,1,3.61,False
+142,Customer Support,Male,22,Specialist,2021-03-16 08:03:05.556036,3,PhD,3,5850.0,52,6,8,14,50,6,45,1,4.61,False
+143,Legal,Female,60,Specialist,2016-11-21 08:03:05.556036,7,Bachelor,2,5400.0,35,27,19,2,50,15,93,0,2.62,False
+144,Customer Support,Female,54,Analyst,2017-02-19 08:03:05.556036,7,High School,3,5200.0,48,49,27,3,75,11,64,2,1.82,False
+145,Operations,Female,26,Consultant,2023-06-03 08:03:05.556036,1,Bachelor,1,6050.0,53,18,15,11,50,5,46,0,2.23,False
+146,Customer Support,Male,43,Consultant,2018-02-24 08:03:05.556036,6,Master,2,6600.0,41,30,12,4,25,18,80,2,4.36,False
+147,Legal,Female,57,Engineer,2019-06-02 08:03:05.556036,5,Bachelor,1,6600.0,39,41,7,13,0,7,1,0,3.3,False
+148,Sales,Male,58,Analyst,2016-11-10 08:03:05.556036,7,Master,3,5200.0,56,26,25,6,100,14,34,2,4.55,False
+149,IT,Female,31,Technician,2017-08-01 08:03:05.556036,7,Master,1,3850.0,59,3,13,0,50,13,78,2,4.75,False
+150,Finance,Female,55,Analyst,2021-03-19 08:03:05.556036,3,Bachelor,1,4400.0,57,17,21,12,100,6,92,0,3.0,False
+151,Operations,Male,59,Consultant,2020-10-27 08:03:05.556036,3,Bachelor,4,7700.0,52,11,15,13,50,12,19,0,4.76,False
+152,Sales,Male,25,Manager,2023-06-04 08:03:05.556036,1,Bachelor,4,8400.0,35,10,10,0,50,1,51,1,1.02,False
+153,Marketing,Female,54,Technician,2014-09-22 08:03:05.556036,9,High School,5,5250.0,37,49,22,14,100,6,21,2,4.44,False
+154,Customer Support,Male,60,Specialist,2017-07-14 08:03:05.556036,7,Bachelor,3,5850.0,49,19,1,7,100,12,15,2,4.88,False
+155,Legal,Male,51,Engineer,2015-06-22 08:03:05.556036,9,Bachelor,3,7800.0,53,49,17,1,75,3,30,2,3.78,False
+156,Customer Support,Female,35,Specialist,2023-06-28 08:03:05.556036,1,Master,1,4950.0,57,30,24,8,100,13,70,1,1.05,False
+157,Legal,Male,46,Manager,2020-05-04 08:03:05.556036,4,Bachelor,1,6600.0,34,5,7,1,25,17,71,0,1.79,False
+158,Operations,Female,39,Analyst,2015-07-16 08:03:05.556036,9,Bachelor,1,4400.0,55,45,14,5,50,7,11,2,3.34,False
+159,Legal,Female,41,Technician,2015-06-21 08:03:05.556036,9,Master,1,3850.0,31,36,21,12,100,6,98,0,4.04,False
+160,Operations,Female,30,Manager,2022-07-04 08:03:05.556036,2,Master,4,8400.0,52,28,17,1,100,12,27,0,4.15,True
+161,Engineering,Male,36,Manager,2015-12-27 08:03:05.556036,8,Master,1,6600.0,39,43,27,10,100,3,70,1,2.85,False
+162,HR,Male,32,Technician,2019-09-13 08:03:05.556036,4,Bachelor,5,5250.0,56,35,20,10,0,16,41,2,2.04,False
+163,Finance,Male,44,Technician,2023-01-19 08:03:05.556036,1,Bachelor,5,5250.0,32,46,15,14,50,19,29,0,1.78,False
+164,Legal,Male,37,Analyst,2016-11-21 08:03:05.556036,7,High School,1,4400.0,43,33,2,2,0,4,53,1,1.97,True
+165,Engineering,Male,26,Analyst,2020-12-19 08:03:05.556036,3,High School,2,4800.0,54,26,23,0,100,16,43,0,1.82,True
+166,Sales,Female,30,Specialist,2020-05-18 08:03:05.556036,4,High School,3,5850.0,50,29,23,9,75,12,47,2,3.49,False
+167,Sales,Male,36,Manager,2018-06-04 08:03:05.556036,6,High School,4,8400.0,51,44,1,6,50,12,78,1,1.14,False
+168,Legal,Male,31,Analyst,2016-11-18 08:03:05.556036,7,Bachelor,5,6000.0,49,48,25,0,25,19,93,0,1.97,False
+169,Legal,Female,39,Specialist,2019-01-27 08:03:05.556036,5,High School,4,6300.0,53,17,23,5,75,14,84,0,4.25,False
+170,Legal,Female,34,Technician,2019-10-22 08:03:05.556036,4,High School,5,5250.0,50,22,26,2,25,5,49,2,2.59,False
+171,Engineering,Male,23,Manager,2023-04-09 08:03:05.556036,1,Bachelor,3,7800.0,57,49,9,11,50,13,52,2,4.72,False
+172,Finance,Male,22,Developer,2015-03-28 08:03:05.556036,9,Bachelor,2,6000.0,52,23,17,3,25,6,50,2,3.63,False
+173,Operations,Male,43,Developer,2020-03-30 08:03:05.556036,4,PhD,2,6000.0,39,17,1,8,25,8,63,1,2.24,False
+174,Marketing,Female,26,Specialist,2019-09-20 08:03:05.556036,4,High School,5,6750.0,35,30,18,11,0,5,16,0,3.36,False
+175,Customer Support,Female,30,Analyst,2024-05-05 08:03:05.556036,0,Bachelor,2,4800.0,56,48,21,1,100,2,42,2,3.85,False
+176,Engineering,Female,48,Developer,2024-08-26 08:03:05.556036,0,Bachelor,3,6500.0,57,14,12,12,75,14,16,1,3.59,True
+177,HR,Female,54,Consultant,2017-05-13 08:03:05.556036,7,Bachelor,3,7150.0,40,2,7,8,100,18,99,1,3.79,False
+178,Customer Support,Male,25,Analyst,2017-08-01 08:03:05.556036,7,Bachelor,4,5600.0,40,42,14,9,100,16,47,0,1.14,False
+179,Customer Support,Other,48,Technician,2018-02-28 08:03:05.556036,6,Bachelor,2,4200.0,52,21,8,13,50,19,79,2,1.3,False
+180,Legal,Female,53,Manager,2016-06-25 08:03:05.556036,8,Master,2,7200.0,31,36,25,3,0,9,36,2,2.89,False
+181,Legal,Male,28,Technician,2017-04-13 08:03:05.556036,7,Bachelor,1,3850.0,36,13,13,5,0,13,67,1,2.39,True
+182,Legal,Male,57,Manager,2024-08-02 08:03:05.556036,0,Bachelor,2,7200.0,48,38,9,8,50,17,56,2,4.28,False
+183,Sales,Male,48,Technician,2018-05-28 08:03:05.556036,6,Bachelor,4,4900.0,33,26,29,4,75,5,21,1,2.47,False
+184,Customer Support,Female,32,Manager,2022-05-14 08:03:05.556036,2,Bachelor,5,9000.0,41,27,17,7,25,12,62,2,1.46,False
+185,Finance,Female,33,Technician,2015-01-15 08:03:05.556036,9,Bachelor,3,4550.0,38,30,1,11,75,9,56,2,2.69,False
+186,HR,Female,57,Manager,2023-07-27 08:03:05.556036,1,Bachelor,4,8400.0,35,37,7,10,100,5,59,2,4.38,False
+187,Legal,Male,38,Engineer,2018-10-19 08:03:05.556036,5,Master,4,8400.0,41,28,22,6,100,8,38,0,3.08,False
+188,IT,Female,43,Specialist,2022-02-15 08:03:05.556036,2,High School,2,5400.0,54,14,8,9,25,11,97,2,4.01,False
+189,Customer Support,Female,26,Specialist,2023-07-18 08:03:05.556036,1,Bachelor,2,5400.0,33,47,15,5,50,10,11,0,2.8,True
+190,Operations,Female,41,Consultant,2022-05-21 08:03:05.556036,2,Bachelor,1,6050.0,39,24,24,6,100,12,4,0,3.85,False
+191,HR,Female,37,Analyst,2016-03-17 08:03:05.556036,8,Bachelor,4,5600.0,46,18,0,9,0,10,12,0,2.32,False
+192,Engineering,Female,36,Analyst,2020-12-26 08:03:05.556036,3,Bachelor,2,4800.0,39,49,24,14,25,15,64,1,3.84,True
+193,Finance,Male,54,Specialist,2020-01-01 08:03:05.556036,4,Bachelor,1,4950.0,59,2,22,3,0,4,99,0,3.94,False
+194,IT,Female,45,Analyst,2021-04-10 08:03:05.556036,3,Bachelor,2,4800.0,57,28,26,2,50,15,85,0,1.48,False
+195,IT,Female,56,Specialist,2017-07-25 08:03:05.556036,7,Master,5,6750.0,53,19,22,4,0,2,61,0,2.51,True
+196,Legal,Female,39,Engineer,2023-03-30 08:03:05.556036,1,Master,5,9000.0,59,16,24,2,50,1,26,1,1.59,True
+197,HR,Male,44,Technician,2022-07-30 08:03:05.556036,2,High School,1,3850.0,37,9,8,11,75,5,15,2,1.49,False
+198,HR,Female,55,Analyst,2021-02-04 08:03:05.556036,3,Bachelor,5,6000.0,43,14,22,6,75,17,42,2,3.45,False
+199,IT,Female,52,Developer,2019-04-08 08:03:05.556036,5,Bachelor,1,5500.0,44,40,28,14,50,12,56,0,3.23,False
+200,Operations,Male,27,Consultant,2021-04-26 08:03:05.556036,3,Master,1,6050.0,36,4,26,8,100,9,38,2,3.73,True
+201,Finance,Male,45,Analyst,2014-09-21 08:03:05.556036,9,Bachelor,5,6000.0,30,12,14,9,100,8,26,1,2.41,False
+202,Operations,Female,54,Specialist,2019-05-13 08:03:05.556036,5,Bachelor,3,5850.0,52,28,21,3,0,16,14,2,3.47,False
+203,Engineering,Male,32,Consultant,2016-03-05 08:03:05.556036,8,High School,2,6600.0,47,5,20,10,75,19,87,1,4.06,False
+204,Customer Support,Male,52,Analyst,2020-04-09 08:03:05.556036,4,Bachelor,2,4800.0,34,19,18,6,75,14,37,0,2.63,False
+205,HR,Female,38,Technician,2017-12-01 08:03:05.556036,6,High School,1,3850.0,32,39,2,2,50,14,40,1,1.25,False
+206,Marketing,Male,50,Engineer,2023-08-29 08:03:05.556036,1,Bachelor,2,7200.0,44,10,21,0,0,5,88,2,4.9,True
+207,Customer Support,Male,41,Manager,2020-11-19 08:03:05.556036,3,Master,4,8400.0,55,28,1,14,50,5,66,2,1.02,False
+208,Sales,Female,40,Developer,2016-11-26 08:03:05.556036,7,High School,1,5500.0,30,20,7,10,0,6,64,1,4.61,True
+209,Engineering,Male,43,Developer,2015-11-21 08:03:05.556036,8,High School,3,6500.0,55,49,24,8,50,15,75,2,2.96,False
+210,Legal,Male,42,Consultant,2015-04-26 08:03:05.556036,9,Bachelor,2,6600.0,58,39,13,3,0,14,23,0,4.32,False
+211,Finance,Female,26,Specialist,2021-08-01 08:03:05.556036,3,High School,4,6300.0,41,47,26,2,50,7,98,0,2.86,True
+212,Marketing,Male,36,Manager,2020-01-07 08:03:05.556036,4,PhD,2,7200.0,44,27,9,10,100,13,52,2,2.76,False
+213,Operations,Male,28,Developer,2023-02-27 08:03:05.556036,1,Bachelor,4,7000.0,32,16,10,9,75,6,21,0,4.27,False
+214,Legal,Female,32,Specialist,2019-12-19 08:03:05.556036,4,Master,5,6750.0,49,5,11,6,75,17,99,1,2.42,False
+215,Operations,Female,25,Developer,2019-09-11 08:03:05.556036,4,High School,3,6500.0,34,25,1,5,0,1,69,0,1.75,False
+216,Sales,Female,30,Manager,2018-03-25 08:03:05.556036,6,Bachelor,3,7800.0,40,0,22,7,100,16,74,2,4.21,True
+217,Operations,Female,42,Engineer,2020-07-25 08:03:05.556036,4,Master,2,7200.0,54,12,17,8,75,7,5,0,4.58,False
+218,Legal,Female,22,Analyst,2018-07-06 08:03:05.556036,6,High School,4,5600.0,42,7,11,5,25,2,7,0,4.77,False
+219,Engineering,Male,23,Engineer,2019-11-18 08:03:05.556036,4,Bachelor,5,9000.0,55,12,5,11,0,1,95,1,4.14,False
+220,Customer Support,Male,52,Engineer,2015-11-13 08:03:05.556036,8,Bachelor,4,8400.0,35,0,27,6,50,7,82,1,4.97,False
+221,Operations,Male,25,Consultant,2019-11-17 08:03:05.556036,4,High School,2,6600.0,34,41,7,11,25,12,9,1,3.23,False
+222,Customer Support,Male,50,Developer,2016-07-05 08:03:05.556036,8,Bachelor,5,7500.0,32,7,2,9,100,10,14,1,4.74,False
+223,Legal,Male,32,Analyst,2021-02-14 08:03:05.556036,3,Bachelor,1,4400.0,45,35,25,12,100,12,52,0,4.98,False
+224,Engineering,Female,55,Engineer,2021-10-16 08:03:05.556036,2,Bachelor,4,8400.0,36,22,23,2,50,1,43,1,2.76,False
+225,Sales,Female,53,Specialist,2020-10-03 08:03:05.556036,3,Master,1,4950.0,30,21,20,4,75,2,29,1,1.49,False
+226,Sales,Female,44,Manager,2014-12-31 08:03:05.556036,9,PhD,5,9000.0,53,0,11,7,25,13,65,2,4.9,False
+227,HR,Female,25,Engineer,2014-09-14 08:03:05.556036,9,Bachelor,5,9000.0,45,47,18,7,25,15,69,0,1.66,False
+228,Operations,Female,57,Developer,2019-05-11 08:03:05.556036,5,Bachelor,2,6000.0,40,37,8,5,75,12,53,2,2.83,False
+229,IT,Male,42,Consultant,2020-12-11 08:03:05.556036,3,Bachelor,4,7700.0,47,29,3,9,75,14,7,2,3.62,False
+230,Legal,Female,39,Engineer,2022-04-13 08:03:05.556036,2,Bachelor,5,9000.0,41,8,27,3,75,9,70,2,1.39,False
+231,Operations,Male,25,Manager,2015-01-25 08:03:05.556036,9,High School,3,7800.0,58,9,6,9,0,5,56,1,3.1,False
+232,Customer Support,Female,27,Analyst,2022-06-10 08:03:05.556036,2,High School,3,5200.0,56,34,28,3,25,2,80,1,2.06,False
+233,Sales,Female,32,Technician,2015-05-19 08:03:05.556036,9,High School,2,4200.0,46,28,20,2,75,2,29,1,1.45,False
+234,Finance,Female,57,Analyst,2022-02-25 08:03:05.556036,2,Master,4,5600.0,58,38,10,6,25,14,58,0,4.13,False
+235,Marketing,Male,32,Analyst,2015-11-26 08:03:05.556036,8,Master,4,5600.0,36,12,9,11,75,12,91,2,2.65,False
+236,HR,Female,39,Technician,2023-01-02 08:03:05.556036,1,Master,5,5250.0,57,3,28,5,0,17,29,2,4.33,False
+237,Marketing,Other,44,Technician,2017-05-26 08:03:05.556036,7,Bachelor,1,3850.0,53,30,3,11,25,15,33,2,3.51,False
+238,Sales,Male,28,Engineer,2022-05-19 08:03:05.556036,2,High School,4,8400.0,38,9,23,7,75,12,37,0,1.96,False
+239,Operations,Female,42,Consultant,2016-07-07 08:03:05.556036,8,High School,4,7700.0,53,17,18,1,50,16,55,1,4.65,False
+240,Finance,Female,27,Manager,2022-10-09 08:03:05.556036,1,High School,4,8400.0,56,27,19,4,75,8,90,2,1.53,False
+241,HR,Male,60,Developer,2023-04-28 08:03:05.556036,1,High School,3,6500.0,54,12,9,11,0,11,32,0,2.18,True
+242,Engineering,Male,42,Manager,2023-05-11 08:03:05.556036,1,Master,1,6600.0,41,10,24,4,50,2,8,2,4.72,False
+243,Finance,Male,33,Developer,2018-06-28 08:03:05.556036,6,High School,2,6000.0,39,38,28,9,25,1,33,2,3.42,False
+244,IT,Female,47,Analyst,2021-10-05 08:03:05.556036,2,Bachelor,2,4800.0,38,44,4,3,50,11,31,2,1.04,False
+245,HR,Female,45,Manager,2020-05-28 08:03:05.556036,4,Bachelor,5,9000.0,48,9,7,1,100,3,65,1,4.79,False
+246,IT,Female,32,Specialist,2021-12-25 08:03:05.556036,2,Bachelor,4,6300.0,55,46,26,11,0,9,87,2,4.82,False
+247,Marketing,Female,24,Technician,2017-03-13 08:03:05.556036,7,Bachelor,4,4900.0,30,33,20,3,25,15,18,0,1.46,False
+248,HR,Female,43,Analyst,2021-05-12 08:03:05.556036,3,Bachelor,2,4800.0,57,36,5,4,100,19,37,1,4.81,False
+249,Legal,Male,32,Consultant,2022-04-08 08:03:05.556036,2,High School,3,7150.0,35,43,15,10,25,5,75,0,1.49,False
+250,Customer Support,Male,35,Technician,2023-01-28 08:03:05.556036,1,High School,3,4550.0,51,28,4,9,50,3,84,1,2.03,False
+251,Engineering,Male,56,Technician,2015-02-05 08:03:05.556036,9,Bachelor,2,4200.0,38,27,14,6,100,6,20,2,2.7,False
+252,IT,Male,35,Consultant,2017-10-29 08:03:05.556036,6,Bachelor,1,6050.0,59,44,23,4,0,17,25,0,3.76,False
+253,Operations,Male,34,Specialist,2020-11-19 08:03:05.556036,3,Bachelor,3,5850.0,50,13,27,10,0,9,57,2,4.87,False
+254,Legal,Female,30,Consultant,2015-02-18 08:03:05.556036,9,Master,4,7700.0,43,31,26,13,50,3,37,1,3.4,False
+255,Marketing,Other,46,Developer,2017-11-18 08:03:05.556036,6,High School,1,5500.0,47,12,24,9,25,17,3,1,1.05,False
+256,Operations,Male,34,Consultant,2015-04-07 08:03:05.556036,9,High School,4,7700.0,52,13,8,9,100,13,81,2,3.17,False
+257,Engineering,Female,45,Specialist,2019-02-15 08:03:05.556036,5,Bachelor,2,5400.0,31,19,16,12,25,8,12,2,1.61,False
+258,HR,Female,31,Specialist,2019-06-17 08:03:05.556036,5,Bachelor,3,5850.0,59,19,22,6,75,3,78,0,3.3,False
+259,Sales,Male,26,Technician,2016-01-09 08:03:05.556036,8,Bachelor,5,5250.0,46,39,25,2,100,16,57,1,3.98,False
+260,Marketing,Male,40,Manager,2020-04-08 08:03:05.556036,4,High School,2,7200.0,60,25,6,13,75,11,94,1,4.41,False
+261,Marketing,Male,46,Developer,2018-07-26 08:03:05.556036,6,Master,2,6000.0,60,3,8,13,0,17,93,2,4.27,False
+262,Operations,Female,32,Technician,2019-11-12 08:03:05.556036,4,Bachelor,1,3850.0,40,25,10,10,50,16,89,1,1.43,False
+263,HR,Female,26,Developer,2017-09-24 08:03:05.556036,6,Master,2,6000.0,59,39,7,1,0,10,9,0,4.97,False
+264,IT,Male,52,Manager,2020-07-18 08:03:05.556036,4,Master,4,8400.0,39,30,29,7,0,17,18,1,2.68,False
+265,Marketing,Other,26,Engineer,2021-07-02 08:03:05.556036,3,PhD,4,8400.0,35,46,2,11,100,3,81,0,3.98,False
+266,IT,Female,34,Technician,2017-12-14 08:03:05.556036,6,PhD,5,5250.0,40,24,17,6,0,5,4,0,4.18,False
+267,Finance,Male,31,Developer,2015-11-06 08:03:05.556036,8,Bachelor,1,5500.0,38,29,24,10,25,15,76,0,3.39,False
+268,IT,Female,54,Manager,2017-07-12 08:03:05.556036,7,Bachelor,2,7200.0,59,6,11,1,100,17,32,2,4.08,False
+269,Operations,Male,39,Technician,2024-07-01 08:03:05.556036,0,High School,2,4200.0,50,23,29,9,75,9,69,2,4.5,True
+270,IT,Female,52,Manager,2016-12-04 08:03:05.556036,7,Bachelor,3,7800.0,39,4,20,2,0,9,57,0,1.54,False
+271,Sales,Male,39,Specialist,2021-02-05 08:03:05.556036,3,Bachelor,3,5850.0,39,40,22,6,0,8,19,0,1.52,False
+272,Operations,Male,31,Consultant,2015-12-11 08:03:05.556036,8,Master,1,6050.0,57,25,19,5,0,14,25,0,3.33,False
+273,Marketing,Female,44,Manager,2015-02-11 08:03:05.556036,9,Bachelor,5,9000.0,35,18,28,3,75,8,5,2,2.63,False
+274,Operations,Other,25,Engineer,2015-09-23 08:03:05.556036,8,Bachelor,1,6600.0,58,30,23,10,50,1,33,1,4.21,False
+275,IT,Male,26,Technician,2022-09-22 08:03:05.556036,1,Bachelor,4,4900.0,33,21,8,7,75,8,12,0,2.64,False
+276,Marketing,Male,56,Consultant,2023-01-08 08:03:05.556036,1,Bachelor,4,7700.0,59,19,25,5,25,14,53,2,4.9,False
+277,Engineering,Male,27,Engineer,2023-07-18 08:03:05.556036,1,PhD,4,8400.0,42,2,15,2,100,8,74,2,1.53,False
+278,Legal,Female,59,Consultant,2020-08-12 08:03:05.556036,4,Bachelor,3,7150.0,55,19,20,11,50,15,66,0,1.84,False
+279,Operations,Male,34,Developer,2019-02-02 08:03:05.556036,5,Bachelor,3,6500.0,44,0,19,0,25,7,48,1,1.9,False
+280,Customer Support,Male,54,Consultant,2016-08-31 08:03:05.556036,8,Bachelor,2,6600.0,56,6,13,7,75,1,49,2,3.92,False
+281,Sales,Female,57,Analyst,2019-02-16 08:03:05.556036,5,Bachelor,1,4400.0,51,15,15,13,25,19,36,0,2.5,False
+282,Engineering,Female,43,Consultant,2014-10-23 08:03:05.556036,9,Bachelor,5,8250.0,33,20,5,2,75,14,42,0,3.06,True
+283,Customer Support,Male,36,Engineer,2023-05-01 08:03:05.556036,1,Bachelor,3,7800.0,55,10,23,0,100,7,45,2,4.79,False
+284,IT,Female,41,Technician,2018-06-18 08:03:05.556036,6,High School,4,4900.0,53,45,24,1,50,19,75,2,3.91,False
+285,Marketing,Female,38,Manager,2021-08-28 08:03:05.556036,3,High School,3,7800.0,40,49,29,2,25,14,66,2,4.85,False
+286,HR,Female,40,Manager,2023-12-06 08:03:05.556036,0,Bachelor,1,6600.0,59,24,1,14,50,8,2,1,1.65,True
+287,HR,Female,22,Consultant,2023-01-29 08:03:05.556036,1,High School,4,7700.0,58,19,25,9,100,15,58,2,3.36,False
+288,Finance,Male,34,Analyst,2015-08-08 08:03:05.556036,9,Bachelor,5,6000.0,50,37,21,6,0,14,66,0,4.91,False
+289,Operations,Female,58,Manager,2015-11-01 08:03:05.556036,8,Master,5,9000.0,32,30,27,8,25,5,94,2,1.96,False
+290,Legal,Male,42,Analyst,2019-12-22 08:03:05.556036,4,High School,4,5600.0,43,24,23,7,0,1,5,0,2.29,True
+291,Engineering,Male,40,Consultant,2016-03-09 08:03:05.556036,8,High School,4,7700.0,51,44,23,5,25,19,88,2,3.49,False
+292,Sales,Male,56,Analyst,2021-02-06 08:03:05.556036,3,Bachelor,3,5200.0,31,25,29,1,100,3,46,1,2.26,False
+293,Sales,Male,51,Developer,2017-10-27 08:03:05.556036,6,High School,3,6500.0,47,39,27,12,0,3,33,0,4.16,False
+294,Operations,Female,22,Consultant,2016-08-10 08:03:05.556036,8,PhD,4,7700.0,55,14,9,3,25,2,2,2,2.74,False
+295,Sales,Male,48,Specialist,2021-04-23 08:03:05.556036,3,Bachelor,4,6300.0,36,0,25,1,50,19,39,0,1.39,False
+296,HR,Female,40,Consultant,2022-02-12 08:03:05.556036,2,High School,3,7150.0,56,10,29,13,50,15,21,2,3.99,False
+297,Operations,Female,36,Consultant,2020-03-07 08:03:05.556036,4,Master,4,7700.0,34,39,8,4,0,11,35,1,3.34,True
+298,Customer Support,Female,30,Analyst,2023-02-18 08:03:05.556036,1,PhD,1,4400.0,34,36,1,0,75,9,76,0,4.39,False
+299,Engineering,Other,22,Engineer,2017-02-27 08:03:05.556036,7,Bachelor,2,7200.0,51,40,6,14,50,16,92,1,5.0,False
+300,Finance,Female,53,Technician,2023-06-29 08:03:05.556036,1,Bachelor,2,4200.0,45,6,23,12,100,9,23,1,2.5,False
+301,Marketing,Male,34,Developer,2021-09-16 08:03:05.556036,2,Master,2,6000.0,33,49,7,11,25,6,68,0,4.69,False
+302,Customer Support,Female,23,Developer,2018-08-13 08:03:05.556036,6,Master,5,7500.0,55,36,17,9,75,10,62,1,3.37,False
+303,Sales,Female,57,Analyst,2019-08-05 08:03:05.556036,5,Bachelor,5,6000.0,57,40,17,12,100,13,19,2,2.01,False
+304,Operations,Male,24,Consultant,2015-12-29 08:03:05.556036,8,Master,1,6050.0,51,43,5,11,25,18,94,0,1.21,False
+305,Engineering,Male,46,Analyst,2021-02-16 08:03:05.556036,3,Bachelor,1,4400.0,31,0,5,1,100,7,20,1,4.98,False
+306,Legal,Female,51,Developer,2020-04-25 08:03:05.556036,4,Bachelor,5,7500.0,51,11,21,14,50,7,77,1,3.65,False
+307,Engineering,Female,46,Technician,2017-08-26 08:03:05.556036,7,Bachelor,1,3850.0,40,23,17,14,25,18,26,1,2.97,True
+308,Sales,Female,58,Analyst,2021-10-01 08:03:05.556036,2,Master,1,4400.0,35,29,28,13,25,2,30,0,3.65,False
+309,Marketing,Female,24,Manager,2016-01-13 08:03:05.556036,8,Bachelor,2,7200.0,45,35,4,1,0,19,53,0,1.11,False
+310,Marketing,Female,35,Consultant,2019-04-29 08:03:05.556036,5,Bachelor,2,6600.0,55,19,1,9,100,14,76,2,2.32,False
+311,Finance,Female,46,Developer,2022-10-07 08:03:05.556036,1,Master,3,6500.0,49,15,5,9,100,16,84,2,3.45,False
+312,Customer Support,Male,34,Engineer,2021-04-07 08:03:05.556036,3,High School,3,7800.0,54,26,29,9,100,6,57,0,2.21,False
+313,Customer Support,Male,47,Consultant,2019-06-02 08:03:05.556036,5,Master,1,6050.0,35,0,26,12,50,9,90,0,4.23,False
+314,Engineering,Male,54,Analyst,2023-11-19 08:03:05.556036,0,High School,4,5600.0,41,11,1,0,25,1,84,0,1.18,True
+315,Sales,Female,43,Manager,2021-04-01 08:03:05.556036,3,High School,2,7200.0,51,5,25,2,0,2,57,2,1.42,True
+316,Sales,Male,42,Analyst,2023-09-19 08:03:05.556036,0,High School,4,5600.0,50,9,14,1,0,15,71,2,1.22,False
+317,Operations,Male,23,Consultant,2019-07-14 08:03:05.556036,5,Master,2,6600.0,44,29,6,12,100,5,28,2,2.09,False
+318,Finance,Female,27,Engineer,2015-11-01 08:03:05.556036,8,Bachelor,1,6600.0,60,36,13,9,75,19,66,0,2.49,False
+319,Sales,Female,22,Engineer,2016-07-17 08:03:05.556036,8,High School,3,7800.0,36,20,1,9,50,16,52,1,3.48,False
+320,Sales,Female,45,Engineer,2017-06-19 08:03:05.556036,7,Bachelor,3,7800.0,60,13,4,6,100,19,34,1,4.7,False
+321,Finance,Female,36,Specialist,2020-10-19 08:03:05.556036,3,High School,1,4950.0,34,5,26,2,100,16,41,1,3.53,False
+322,Engineering,Female,23,Consultant,2016-08-29 08:03:05.556036,8,Master,1,6050.0,41,7,0,12,75,18,37,1,4.67,False
+323,IT,Male,26,Manager,2021-05-12 08:03:05.556036,3,High School,5,9000.0,36,30,9,10,0,7,3,1,1.62,False
+324,Marketing,Female,34,Consultant,2018-06-23 08:03:05.556036,6,High School,1,6050.0,52,6,21,14,75,18,58,2,1.59,False
+325,Finance,Male,24,Analyst,2018-08-25 08:03:05.556036,6,High School,4,5600.0,39,15,15,10,75,16,87,1,2.74,False
+326,HR,Male,57,Developer,2023-11-25 08:03:05.556036,0,Bachelor,4,7000.0,30,24,9,9,100,5,74,2,3.21,False
+327,Finance,Female,46,Consultant,2016-06-14 08:03:05.556036,8,Bachelor,4,7700.0,57,21,11,8,25,18,65,2,3.89,False
+328,Finance,Female,22,Developer,2020-08-17 08:03:05.556036,4,High School,5,7500.0,52,8,19,2,25,7,42,0,4.75,False
+329,Legal,Other,53,Consultant,2017-10-22 08:03:05.556036,6,Bachelor,2,6600.0,59,15,21,10,100,5,42,1,1.93,False
+330,Operations,Female,27,Specialist,2022-09-27 08:03:05.556036,1,High School,4,6300.0,38,21,4,9,25,11,26,2,3.45,False
+331,Marketing,Other,34,Consultant,2016-01-17 08:03:05.556036,8,Bachelor,5,8250.0,58,25,11,7,25,12,4,0,3.33,False
+332,HR,Female,50,Technician,2019-04-12 08:03:05.556036,5,High School,4,4900.0,39,46,0,7,75,6,3,1,4.09,False
+333,Operations,Female,31,Engineer,2022-02-10 08:03:05.556036,2,High School,4,8400.0,34,46,1,9,100,11,68,1,3.28,False
+334,Operations,Male,38,Technician,2016-02-25 08:03:05.556036,8,PhD,2,4200.0,51,9,28,1,0,15,45,2,1.74,False
+335,Finance,Female,33,Consultant,2022-09-30 08:03:05.556036,1,High School,5,8250.0,51,2,4,1,75,15,86,1,2.71,False
+336,IT,Female,28,Consultant,2021-11-12 08:03:05.556036,2,Master,2,6600.0,50,26,6,8,75,12,83,2,2.63,False
+337,Customer Support,Male,35,Engineer,2016-12-12 08:03:05.556036,7,High School,1,6600.0,48,4,0,3,100,16,26,1,4.64,False
+338,Operations,Female,55,Developer,2017-02-07 08:03:05.556036,7,Master,1,5500.0,53,7,26,7,50,19,51,1,1.94,False
+339,Finance,Male,60,Specialist,2023-09-14 08:03:05.556036,0,Bachelor,3,5850.0,38,47,9,14,25,3,67,0,1.85,True
+340,Legal,Female,45,Specialist,2017-02-23 08:03:05.556036,7,Bachelor,4,6300.0,45,26,14,3,100,3,22,0,1.35,False
+341,Marketing,Male,43,Engineer,2023-02-15 08:03:05.556036,1,Master,1,6600.0,36,31,3,1,75,8,59,0,3.48,False
+342,Finance,Male,31,Manager,2024-08-28 08:03:05.556036,0,High School,2,7200.0,55,17,1,7,100,6,20,0,4.73,False
+343,Finance,Female,29,Manager,2021-04-01 08:03:05.556036,3,Master,5,9000.0,50,39,11,1,25,16,6,1,3.11,False
+344,Customer Support,Female,27,Analyst,2020-09-25 08:03:05.556036,3,Bachelor,3,5200.0,52,20,1,6,0,17,86,0,3.92,False
+345,Operations,Female,56,Developer,2022-09-09 08:03:05.556036,1,Bachelor,4,7000.0,36,15,16,13,25,19,36,0,2.15,True
+346,Operations,Female,58,Analyst,2017-11-17 08:03:05.556036,6,Bachelor,3,5200.0,46,15,19,10,75,1,73,0,2.72,False
+347,HR,Female,54,Analyst,2019-04-05 08:03:05.556036,5,Bachelor,3,5200.0,50,15,9,3,100,4,97,2,3.72,False
+348,HR,Male,48,Consultant,2021-05-14 08:03:05.556036,3,Master,3,7150.0,39,7,28,0,75,2,57,0,1.14,False
+349,Sales,Male,31,Technician,2017-06-08 08:03:05.556036,7,Bachelor,4,4900.0,56,19,15,0,0,15,81,1,2.53,False
+350,Engineering,Female,43,Manager,2020-04-18 08:03:05.556036,4,Bachelor,2,7200.0,59,41,17,13,75,3,9,0,2.02,False
+351,IT,Female,26,Developer,2020-09-11 08:03:05.556036,3,Bachelor,4,7000.0,55,44,23,3,50,6,89,2,3.08,False
+352,HR,Male,43,Engineer,2019-01-03 08:03:05.556036,5,Bachelor,1,6600.0,54,10,27,4,75,5,32,0,4.88,False
+353,Legal,Female,25,Specialist,2022-02-13 08:03:05.556036,2,Bachelor,3,5850.0,34,3,18,5,0,4,68,2,4.37,False
+354,Legal,Female,44,Analyst,2022-09-19 08:03:05.556036,1,Bachelor,2,4800.0,55,15,18,13,0,13,41,1,3.33,False
+355,Customer Support,Male,46,Technician,2020-07-16 08:03:05.556036,4,Bachelor,5,5250.0,50,18,15,9,0,5,11,1,4.78,False
+356,HR,Female,27,Developer,2020-07-31 08:03:05.556036,4,High School,1,5500.0,54,10,14,0,0,8,94,2,2.31,False
+357,Operations,Female,53,Specialist,2022-01-25 08:03:05.556036,2,High School,4,6300.0,34,6,23,6,100,8,63,2,2.89,True
+358,Sales,Female,32,Technician,2022-03-25 08:03:05.556036,2,Bachelor,5,5250.0,43,28,10,11,100,3,90,0,3.62,False
+359,Operations,Male,36,Technician,2018-12-02 08:03:05.556036,5,High School,3,4550.0,44,39,24,12,100,15,35,1,4.75,False
+360,Finance,Male,52,Consultant,2023-03-11 08:03:05.556036,1,High School,2,6600.0,38,12,7,13,50,15,10,2,3.55,False
+361,HR,Male,50,Engineer,2023-08-27 08:03:05.556036,1,High School,2,7200.0,54,42,26,12,25,6,42,1,3.92,False
+362,Sales,Female,38,Specialist,2016-06-11 08:03:05.556036,8,High School,4,6300.0,40,21,25,10,50,16,91,1,1.07,False
+363,IT,Female,30,Specialist,2022-01-20 08:03:05.556036,2,Master,5,6750.0,45,6,13,0,75,12,92,2,1.82,False
+364,Customer Support,Female,37,Engineer,2024-08-18 08:03:05.556036,0,High School,5,9000.0,47,2,8,8,25,9,37,1,2.64,True
+365,Legal,Male,40,Technician,2022-01-12 08:03:05.556036,2,High School,3,4550.0,32,3,24,2,75,7,98,1,3.42,True
+366,Marketing,Male,45,Manager,2021-06-16 08:03:05.556036,3,Bachelor,3,7800.0,48,39,18,9,0,18,0,2,3.26,False
+367,Marketing,Female,42,Technician,2019-02-03 08:03:05.556036,5,Bachelor,1,3850.0,42,10,23,5,25,4,28,2,1.03,False
+368,Marketing,Male,39,Manager,2017-11-14 08:03:05.556036,6,Master,4,8400.0,43,17,8,11,100,1,74,0,3.68,False
+369,Legal,Female,28,Engineer,2016-01-22 08:03:05.556036,8,Master,3,7800.0,58,11,15,6,100,7,54,0,4.31,False
+370,HR,Other,30,Manager,2015-04-09 08:03:05.556036,9,Master,4,8400.0,44,21,10,12,50,8,88,2,3.17,True
+371,Engineering,Male,32,Consultant,2017-12-28 08:03:05.556036,6,Bachelor,3,7150.0,34,14,2,2,0,9,80,0,2.96,False
+372,Customer Support,Male,50,Specialist,2017-10-10 08:03:05.556036,6,Bachelor,5,6750.0,47,49,12,1,0,3,27,1,2.69,False
+373,Customer Support,Female,27,Specialist,2017-03-28 08:03:05.556036,7,PhD,1,4950.0,57,19,3,7,25,3,0,0,4.99,False
+374,IT,Female,32,Manager,2024-04-04 08:03:05.556036,0,Bachelor,3,7800.0,49,17,25,13,100,16,7,1,1.29,True
+375,Operations,Female,37,Manager,2015-06-03 08:03:05.556036,9,High School,4,8400.0,43,18,16,10,50,5,11,0,2.38,False
+376,HR,Female,43,Analyst,2016-05-14 08:03:05.556036,8,Bachelor,1,4400.0,55,9,16,13,75,18,80,0,1.08,False
+377,Finance,Male,28,Manager,2022-04-10 08:03:05.556036,2,High School,2,7200.0,35,12,1,14,75,13,7,2,3.76,False
+378,Engineering,Female,33,Developer,2015-05-11 08:03:05.556036,9,Bachelor,4,7000.0,57,49,28,2,75,14,29,0,3.35,True
+379,Sales,Female,53,Engineer,2019-01-03 08:03:05.556036,5,High School,1,6600.0,33,25,14,13,0,4,40,0,4.22,False
+380,Customer Support,Female,44,Specialist,2019-01-17 08:03:05.556036,5,Bachelor,1,4950.0,41,14,10,5,75,9,87,2,2.49,False
+381,Operations,Female,26,Technician,2014-12-25 08:03:05.556036,9,High School,3,4550.0,33,40,25,1,0,14,43,2,3.79,False
+382,Customer Support,Male,42,Specialist,2016-12-25 08:03:05.556036,7,Master,1,4950.0,43,23,23,13,0,11,32,2,3.49,False
+383,Marketing,Male,36,Specialist,2021-04-22 08:03:05.556036,3,Master,3,5850.0,55,12,12,3,25,3,58,1,4.11,False
+384,Engineering,Female,34,Developer,2021-10-23 08:03:05.556036,2,High School,3,6500.0,33,8,20,10,100,8,88,1,3.15,False
+385,Sales,Female,52,Manager,2020-06-21 08:03:05.556036,4,High School,3,7800.0,39,28,17,14,50,19,61,1,2.42,False
+386,Operations,Male,31,Manager,2018-10-15 08:03:05.556036,5,High School,3,7800.0,42,11,23,4,25,11,31,1,4.62,False
+387,Sales,Male,26,Manager,2016-05-06 08:03:05.556036,8,High School,5,9000.0,32,37,11,14,50,9,64,1,2.21,False
+388,Operations,Female,43,Manager,2024-05-23 08:03:05.556036,0,PhD,2,7200.0,53,3,7,5,75,17,25,2,1.17,False
+389,Finance,Female,60,Technician,2020-01-07 08:03:05.556036,4,High School,4,4900.0,50,6,10,7,75,2,95,1,4.48,True
+390,IT,Female,23,Developer,2016-03-12 08:03:05.556036,8,High School,2,6000.0,44,36,14,9,50,7,89,2,2.82,False
+391,Engineering,Male,33,Manager,2016-01-27 08:03:05.556036,8,Bachelor,3,7800.0,32,11,20,4,50,12,76,2,3.72,False
+392,Finance,Male,25,Manager,2021-03-19 08:03:05.556036,3,High School,3,7800.0,43,33,11,3,25,2,85,0,1.65,False
+393,Finance,Male,35,Technician,2017-01-30 08:03:05.556036,7,Bachelor,3,4550.0,58,11,10,3,25,13,67,2,4.01,False
+394,Marketing,Female,31,Engineer,2014-10-13 08:03:05.556036,9,Master,4,8400.0,54,8,23,4,75,9,25,2,4.68,False
+395,IT,Female,34,Engineer,2020-01-31 08:03:05.556036,4,Bachelor,4,8400.0,35,2,5,0,0,17,19,2,3.15,True
+396,Customer Support,Female,39,Developer,2015-07-26 08:03:05.556036,9,High School,1,5500.0,58,4,20,11,25,3,97,1,2.44,False
+397,Finance,Male,35,Developer,2020-10-14 08:03:05.556036,3,High School,4,7000.0,40,33,25,12,0,9,96,1,2.0,False
+398,Legal,Male,41,Technician,2018-02-18 08:03:05.556036,6,Bachelor,4,4900.0,59,8,27,7,25,6,29,0,3.13,False
+399,Finance,Male,25,Technician,2017-01-18 08:03:05.556036,7,High School,1,3850.0,52,41,3,2,25,16,12,2,1.53,False
+400,HR,Other,31,Technician,2023-11-06 08:03:05.556036,0,Bachelor,2,4200.0,48,27,6,3,50,17,7,2,4.51,True
+401,Marketing,Female,54,Specialist,2022-04-11 08:03:05.556036,2,Bachelor,3,5850.0,42,5,21,12,100,13,74,0,4.81,False
+402,Finance,Female,58,Engineer,2019-03-03 08:03:05.556036,5,High School,2,7200.0,43,23,7,8,25,9,70,2,4.47,False
+403,HR,Male,39,Consultant,2022-08-14 08:03:05.556036,2,High School,4,7700.0,56,34,9,7,100,4,60,0,1.17,False
+404,IT,Male,25,Specialist,2020-09-05 08:03:05.556036,4,Bachelor,3,5850.0,45,1,1,3,25,18,40,1,1.56,False
+405,Customer Support,Female,27,Consultant,2018-03-22 08:03:05.556036,6,High School,5,8250.0,44,2,7,1,25,2,66,1,4.95,False
+406,Sales,Male,41,Engineer,2019-06-07 08:03:05.556036,5,Bachelor,3,7800.0,42,2,17,14,0,11,73,0,1.81,True
+407,HR,Male,40,Analyst,2021-10-14 08:03:05.556036,2,PhD,2,4800.0,42,30,10,5,50,16,24,2,3.01,False
+408,IT,Male,30,Developer,2015-07-09 08:03:05.556036,9,High School,3,6500.0,41,22,1,2,0,16,41,1,2.31,False
+409,IT,Male,52,Analyst,2020-02-16 08:03:05.556036,4,Bachelor,2,4800.0,55,47,28,12,25,15,51,1,4.39,False
+410,Engineering,Female,38,Specialist,2024-01-22 08:03:05.556036,0,PhD,2,5400.0,52,15,29,6,50,14,13,0,3.55,True
+411,Engineering,Male,50,Engineer,2021-02-20 08:03:05.556036,3,Bachelor,5,9000.0,44,16,19,6,0,6,88,2,2.34,False
+412,Marketing,Male,29,Technician,2016-07-11 08:03:05.556036,8,Bachelor,5,5250.0,59,29,16,8,75,5,18,1,3.98,False
+413,Customer Support,Male,22,Developer,2016-12-24 08:03:05.556036,7,Bachelor,1,5500.0,54,12,29,2,50,3,55,0,1.05,False
+414,Engineering,Male,29,Analyst,2018-05-05 08:03:05.556036,6,High School,4,5600.0,41,5,23,2,25,5,47,2,4.79,False
+415,Customer Support,Other,33,Technician,2021-12-29 08:03:05.556036,2,Bachelor,5,5250.0,44,36,19,10,0,1,97,2,2.04,False
+416,IT,Female,30,Developer,2020-10-17 08:03:05.556036,3,High School,2,6000.0,34,14,16,11,25,4,9,1,4.93,False
+417,Operations,Male,42,Manager,2020-10-20 08:03:05.556036,3,Bachelor,2,7200.0,54,13,24,2,75,4,93,0,1.77,False
+418,IT,Male,42,Specialist,2018-08-10 08:03:05.556036,6,PhD,3,5850.0,32,7,24,8,50,8,94,2,1.89,False
+419,Customer Support,Female,42,Engineer,2015-10-07 08:03:05.556036,8,Master,5,9000.0,56,13,10,7,100,19,86,2,1.72,False
+420,Marketing,Male,38,Engineer,2023-01-04 08:03:05.556036,1,High School,4,8400.0,33,45,25,7,50,8,58,0,2.04,True
+421,Legal,Female,37,Technician,2020-02-15 08:03:05.556036,4,PhD,5,5250.0,57,1,13,13,25,13,63,0,4.07,False
+422,Marketing,Male,52,Technician,2017-09-19 08:03:05.556036,6,Master,3,4550.0,55,26,16,3,0,6,43,1,4.59,False
+423,Marketing,Male,51,Engineer,2018-08-16 08:03:05.556036,6,Master,1,6600.0,30,25,5,14,75,15,2,0,4.16,False
+424,Finance,Female,31,Manager,2017-05-15 08:03:05.556036,7,Master,4,8400.0,37,49,8,14,25,11,62,0,3.74,False
+425,IT,Female,30,Developer,2018-09-28 08:03:05.556036,5,PhD,2,6000.0,37,0,23,7,75,15,48,0,1.62,False
+426,Sales,Female,45,Engineer,2023-07-18 08:03:05.556036,1,Bachelor,2,7200.0,40,38,10,8,50,13,28,2,1.95,False
+427,Finance,Female,22,Developer,2022-06-02 08:03:05.556036,2,Bachelor,5,7500.0,49,46,21,4,100,15,41,0,3.48,False
+428,Customer Support,Female,48,Engineer,2017-06-24 08:03:05.556036,7,Bachelor,4,8400.0,41,12,6,2,50,8,19,1,3.85,False
+429,HR,Male,25,Engineer,2020-07-07 08:03:05.556036,4,High School,2,7200.0,60,30,23,13,50,4,12,1,2.0,False
+430,IT,Male,50,Manager,2023-11-17 08:03:05.556036,0,Bachelor,2,7200.0,31,23,27,9,25,18,4,2,2.94,False
+431,Engineering,Female,57,Developer,2021-12-08 08:03:05.556036,2,Bachelor,2,6000.0,58,9,26,6,0,16,57,1,3.86,False
+432,Engineering,Female,23,Developer,2021-02-24 08:03:05.556036,3,High School,4,7000.0,36,22,24,9,50,6,27,0,2.38,False
+433,Customer Support,Female,40,Consultant,2024-02-21 08:03:05.556036,0,High School,1,6050.0,51,32,9,10,25,6,45,0,3.04,False
+434,Marketing,Female,50,Technician,2016-08-31 08:03:05.556036,8,High School,4,4900.0,59,26,5,1,75,18,5,0,1.57,False
+435,Operations,Male,45,Specialist,2019-01-29 08:03:05.556036,5,Master,3,5850.0,54,35,2,5,75,17,75,2,4.35,False
+436,Sales,Male,45,Manager,2019-03-10 08:03:05.556036,5,Bachelor,4,8400.0,46,10,2,7,50,3,85,0,1.18,True
+437,Legal,Male,51,Consultant,2023-04-11 08:03:05.556036,1,High School,3,7150.0,36,36,2,0,0,19,5,2,1.9,False
+438,Operations,Female,23,Manager,2022-07-29 08:03:05.556036,2,High School,5,9000.0,45,2,3,13,25,19,50,0,4.13,False
+439,Marketing,Male,35,Analyst,2017-11-20 08:03:05.556036,6,Bachelor,1,4400.0,43,18,10,11,25,12,26,0,3.78,False
+440,Legal,Male,48,Engineer,2014-10-24 08:03:05.556036,9,High School,5,9000.0,32,16,12,10,50,17,5,0,2.27,False
+441,HR,Male,39,Consultant,2017-09-05 08:03:05.556036,7,Bachelor,5,8250.0,37,26,18,9,100,16,12,1,2.13,False
+442,Engineering,Male,49,Analyst,2019-03-24 08:03:05.556036,5,Bachelor,2,4800.0,49,33,4,3,75,3,54,0,2.26,False
+443,Customer Support,Male,28,Engineer,2017-03-18 08:03:05.556036,7,Master,4,8400.0,59,37,11,5,25,5,40,1,2.64,False
+444,HR,Male,30,Analyst,2020-11-01 08:03:05.556036,3,Master,4,5600.0,58,36,17,0,0,9,7,2,4.33,False
+445,HR,Male,39,Manager,2016-04-30 08:03:05.556036,8,Bachelor,4,8400.0,51,27,5,13,25,14,10,1,1.81,False
+446,Sales,Other,56,Specialist,2020-02-06 08:03:05.556036,4,High School,4,6300.0,36,47,11,4,25,18,88,1,1.66,False
+447,Marketing,Female,23,Consultant,2021-04-03 08:03:05.556036,3,High School,4,7700.0,43,40,12,5,25,3,37,1,2.83,False
+448,Sales,Female,30,Developer,2015-04-13 08:03:05.556036,9,High School,2,6000.0,38,49,9,6,50,13,62,0,3.37,False
+449,Marketing,Female,47,Consultant,2024-02-16 08:03:05.556036,0,Bachelor,4,7700.0,60,41,27,0,0,16,93,0,2.64,False
+450,IT,Male,53,Technician,2023-10-15 08:03:05.556036,0,PhD,4,4900.0,45,36,14,3,0,5,7,1,2.35,False
+451,Customer Support,Female,49,Engineer,2020-10-16 08:03:05.556036,3,Bachelor,1,6600.0,48,4,6,13,100,10,78,1,1.13,True
+452,Customer Support,Female,47,Specialist,2020-04-19 08:03:05.556036,4,PhD,2,5400.0,32,24,7,11,0,11,53,1,4.9,False
+453,Customer Support,Male,36,Specialist,2020-01-10 08:03:05.556036,4,PhD,1,4950.0,58,4,18,7,75,3,59,2,2.15,False
+454,Operations,Female,31,Developer,2021-08-01 08:03:05.556036,3,Bachelor,5,7500.0,42,19,27,5,75,4,28,1,1.04,False
+455,IT,Male,33,Developer,2019-08-10 08:03:05.556036,5,Bachelor,4,7000.0,45,21,28,1,75,5,68,1,3.47,False
+456,Operations,Male,23,Manager,2015-09-27 08:03:05.556036,8,High School,5,9000.0,33,43,13,4,75,9,94,0,4.38,False
+457,Marketing,Female,35,Technician,2015-07-01 08:03:05.556036,9,Master,2,4200.0,52,27,3,6,25,11,4,0,4.51,False
+458,Engineering,Female,52,Consultant,2020-10-01 08:03:05.556036,3,Bachelor,4,7700.0,55,46,9,4,75,17,40,1,4.05,False
+459,Sales,Male,39,Consultant,2017-03-16 08:03:05.556036,7,Master,4,7700.0,31,23,27,6,50,11,60,2,3.6,True
+460,Engineering,Female,59,Engineer,2015-10-06 08:03:05.556036,8,Bachelor,2,7200.0,39,26,18,0,75,12,67,0,2.44,True
+461,Operations,Male,28,Analyst,2020-07-17 08:03:05.556036,4,Bachelor,3,5200.0,56,37,28,11,50,11,98,2,2.54,False
+462,Sales,Male,60,Developer,2018-04-16 08:03:05.556036,6,High School,1,5500.0,49,39,21,8,100,10,74,2,3.9,False
+463,IT,Male,26,Manager,2014-11-23 08:03:05.556036,9,High School,4,8400.0,48,31,3,7,75,5,62,1,3.06,False
+464,Operations,Female,37,Consultant,2020-12-22 08:03:05.556036,3,Bachelor,3,7150.0,56,7,12,7,100,5,64,2,4.72,False
+465,IT,Male,40,Specialist,2018-05-30 08:03:05.556036,6,Master,3,5850.0,30,15,13,2,75,10,35,2,3.39,False
+466,HR,Male,47,Manager,2022-03-10 08:03:05.556036,2,High School,3,7800.0,53,0,1,7,25,10,5,1,1.2,False
+467,Sales,Male,50,Specialist,2016-09-01 08:03:05.556036,8,Bachelor,5,6750.0,32,48,28,13,25,4,99,2,3.18,False
+468,Marketing,Male,56,Consultant,2022-11-05 08:03:05.556036,1,Bachelor,5,8250.0,52,4,28,6,0,8,48,2,2.97,False
+469,Finance,Male,39,Consultant,2018-03-07 08:03:05.556036,6,Bachelor,2,6600.0,42,19,0,6,50,10,54,1,3.39,False
+470,Operations,Male,36,Analyst,2018-01-26 08:03:05.556036,6,High School,5,6000.0,43,26,23,5,50,13,48,1,2.42,False
+471,IT,Female,47,Developer,2022-06-18 08:03:05.556036,2,Bachelor,4,7000.0,40,7,15,5,75,10,22,0,1.59,False
+472,Customer Support,Female,47,Specialist,2023-10-19 08:03:05.556036,0,Bachelor,4,6300.0,48,12,28,1,50,4,27,1,2.34,False
+473,IT,Female,27,Engineer,2015-03-18 08:03:05.556036,9,Bachelor,4,8400.0,51,2,2,1,50,19,64,0,3.03,False
+474,Marketing,Male,32,Consultant,2019-09-03 08:03:05.556036,5,Bachelor,4,7700.0,57,8,2,8,75,8,70,2,3.74,False
+475,Engineering,Female,29,Consultant,2018-08-03 08:03:05.556036,6,High School,4,7700.0,44,23,22,0,0,16,6,1,4.56,False
+476,Sales,Female,39,Technician,2019-06-03 08:03:05.556036,5,High School,3,4550.0,57,44,8,2,0,10,58,2,1.22,False
+477,Engineering,Male,26,Engineer,2022-08-23 08:03:05.556036,2,Bachelor,3,7800.0,40,29,7,7,75,14,3,0,1.2,False
+478,Legal,Male,39,Specialist,2017-06-11 08:03:05.556036,7,Bachelor,1,4950.0,35,34,11,13,25,18,26,2,2.84,False
+479,HR,Male,32,Analyst,2018-06-06 08:03:05.556036,6,Bachelor,2,4800.0,43,37,25,14,0,2,10,0,1.81,False
+480,IT,Male,37,Consultant,2018-01-03 08:03:05.556036,6,High School,5,8250.0,31,35,0,0,75,3,42,2,4.28,False
+481,IT,Male,57,Engineer,2016-08-08 08:03:05.556036,8,PhD,4,8400.0,49,30,26,2,25,11,39,0,2.17,False
+482,Engineering,Female,52,Specialist,2020-10-13 08:03:05.556036,3,High School,3,5850.0,55,10,24,2,75,3,48,0,2.91,False
+483,Operations,Male,55,Manager,2022-08-15 08:03:05.556036,2,Bachelor,3,7800.0,52,4,17,9,75,15,34,0,1.23,False
+484,Operations,Female,58,Consultant,2019-07-05 08:03:05.556036,5,High School,1,6050.0,55,37,21,12,0,12,26,2,1.79,False
+485,Operations,Male,37,Specialist,2018-01-12 08:03:05.556036,6,Bachelor,5,6750.0,39,37,22,9,50,14,8,1,4.83,False
+486,HR,Male,59,Consultant,2020-05-16 08:03:05.556036,4,Bachelor,3,7150.0,33,35,15,6,0,8,80,1,2.18,False
+487,Customer Support,Male,43,Technician,2023-11-29 08:03:05.556036,0,Bachelor,5,5250.0,59,12,1,5,50,9,20,1,3.86,False
+488,Engineering,Male,41,Consultant,2019-11-25 08:03:05.556036,4,Bachelor,1,6050.0,43,12,14,0,0,19,86,0,3.65,False
+489,IT,Female,48,Specialist,2017-07-06 08:03:05.556036,7,High School,2,5400.0,34,16,6,0,0,4,97,1,2.47,False
+490,Finance,Female,42,Analyst,2019-08-11 08:03:05.556036,5,Master,4,5600.0,37,1,2,0,50,18,11,2,3.21,False
+491,Legal,Female,51,Consultant,2019-12-02 08:03:05.556036,4,High School,1,6050.0,38,21,25,0,100,4,99,1,2.01,False
+492,Customer Support,Male,36,Manager,2022-04-07 08:03:05.556036,2,Bachelor,3,7800.0,42,21,20,14,0,11,7,2,4.68,False
+493,Legal,Male,22,Engineer,2017-01-25 08:03:05.556036,7,Bachelor,1,6600.0,56,1,21,12,75,17,64,2,4.99,False
+494,Marketing,Other,48,Specialist,2017-12-10 08:03:05.556036,6,Master,4,6300.0,40,17,3,10,25,10,88,1,4.92,False
+495,Sales,Male,41,Specialist,2024-01-23 08:03:05.556036,0,Bachelor,2,5400.0,34,20,7,5,100,10,37,0,2.3,False
+496,Finance,Female,50,Developer,2024-08-29 08:03:05.556036,0,PhD,4,7000.0,31,40,23,10,50,3,69,2,4.31,False
+497,Engineering,Male,27,Consultant,2019-05-07 08:03:05.556036,5,Bachelor,2,6600.0,55,9,10,5,100,1,26,1,3.5,False
+498,Engineering,Male,35,Analyst,2019-06-19 08:03:05.556036,5,High School,4,5600.0,51,25,18,6,50,17,48,0,2.95,False
+499,Operations,Female,27,Specialist,2019-03-10 08:03:05.556036,5,High School,3,5850.0,46,47,0,8,0,11,62,1,3.88,False
+500,Marketing,Male,27,Analyst,2020-09-25 08:03:05.556036,3,Bachelor,5,6000.0,46,48,15,5,0,19,97,0,3.38,False
+501,IT,Female,31,Specialist,2023-06-12 08:03:05.556036,1,High School,5,6750.0,31,13,9,8,75,18,90,0,2.24,False
+502,Customer Support,Male,57,Technician,2018-10-20 08:03:05.556036,5,High School,2,4200.0,51,8,18,8,0,16,98,0,4.27,False
+503,Finance,Male,40,Consultant,2022-04-22 08:03:05.556036,2,High School,2,6600.0,47,16,22,10,100,15,19,0,1.89,False
+504,Operations,Female,36,Specialist,2017-10-31 08:03:05.556036,6,High School,4,6300.0,45,35,28,10,25,11,36,0,3.73,False
+505,Finance,Female,58,Analyst,2014-09-13 08:03:05.556036,9,High School,1,4400.0,52,24,0,3,0,11,39,2,1.15,False
+506,HR,Other,56,Technician,2016-05-01 08:03:05.556036,8,Bachelor,5,5250.0,51,27,2,9,75,3,87,0,3.83,False
+507,Customer Support,Other,36,Manager,2019-11-14 08:03:05.556036,4,Master,5,9000.0,39,5,22,5,25,17,45,2,2.44,False
+508,Engineering,Male,49,Manager,2015-06-27 08:03:05.556036,9,Master,1,6600.0,35,41,20,13,50,12,51,0,4.41,False
+509,Operations,Male,35,Consultant,2018-08-13 08:03:05.556036,6,Bachelor,1,6050.0,32,33,5,9,100,17,57,0,3.8,False
+510,Legal,Male,57,Specialist,2017-11-18 08:03:05.556036,6,Bachelor,1,4950.0,57,0,0,3,75,4,7,1,4.06,False
+511,HR,Female,50,Consultant,2016-04-23 08:03:05.556036,8,High School,5,8250.0,38,37,2,0,0,14,15,2,3.04,False
+512,IT,Female,46,Specialist,2015-10-18 08:03:05.556036,8,Bachelor,2,5400.0,60,6,18,11,25,10,74,0,3.36,False
+513,Legal,Male,35,Engineer,2019-09-05 08:03:05.556036,5,Master,2,7200.0,42,29,14,5,0,11,72,0,1.15,False
+514,Finance,Male,36,Consultant,2018-04-22 08:03:05.556036,6,High School,2,6600.0,46,48,3,13,0,10,51,2,2.43,False
+515,IT,Male,50,Consultant,2015-11-30 08:03:05.556036,8,High School,3,7150.0,44,25,5,2,75,11,30,1,2.31,False
+516,Engineering,Female,46,Consultant,2016-12-12 08:03:05.556036,7,High School,5,8250.0,48,17,11,1,25,10,44,2,1.4,False
+517,Legal,Male,55,Manager,2017-06-21 08:03:05.556036,7,Master,4,8400.0,38,41,25,12,50,9,3,2,4.58,False
+518,Engineering,Female,27,Developer,2024-04-18 08:03:05.556036,0,Bachelor,1,5500.0,32,28,16,14,100,1,93,0,1.99,False
+519,Finance,Male,39,Developer,2023-01-07 08:03:05.556036,1,Bachelor,5,7500.0,34,12,0,10,0,15,47,2,2.17,False
+520,Finance,Female,43,Developer,2020-04-03 08:03:05.556036,4,High School,1,5500.0,53,8,16,4,100,10,56,2,2.66,False
+521,Sales,Male,24,Consultant,2019-02-23 08:03:05.556036,5,High School,2,6600.0,54,49,9,9,75,19,57,2,1.0,False
+522,Customer Support,Female,52,Analyst,2015-09-29 08:03:05.556036,8,High School,1,4400.0,53,38,23,10,25,6,28,1,2.61,False
+523,Engineering,Female,49,Consultant,2016-04-10 08:03:05.556036,8,High School,5,8250.0,49,4,4,3,75,1,81,2,4.12,False
+524,Legal,Female,27,Specialist,2018-03-20 08:03:05.556036,6,Bachelor,4,6300.0,30,11,26,10,50,2,12,2,4.02,False
+525,Marketing,Male,59,Consultant,2022-04-25 08:03:05.556036,2,Bachelor,5,8250.0,56,28,14,12,75,18,48,1,2.1,False
+526,Operations,Male,31,Technician,2020-03-11 08:03:05.556036,4,High School,1,3850.0,36,19,18,9,100,9,67,1,1.74,False
+527,Operations,Male,52,Manager,2020-07-20 08:03:05.556036,4,Bachelor,4,8400.0,52,30,20,6,25,11,51,2,1.24,False
+528,HR,Female,28,Engineer,2021-05-04 08:03:05.556036,3,Bachelor,1,6600.0,30,3,11,9,75,4,6,0,2.82,False
+529,HR,Male,32,Developer,2020-09-02 08:03:05.556036,4,Bachelor,3,6500.0,35,36,0,5,100,18,68,0,3.43,False
+530,HR,Male,27,Developer,2021-11-25 08:03:05.556036,2,Bachelor,2,6000.0,57,12,4,8,0,16,22,1,2.17,False
+531,Marketing,Male,37,Engineer,2018-02-28 08:03:05.556036,6,Master,2,7200.0,48,23,20,14,75,14,88,1,4.28,True
+532,Customer Support,Female,30,Engineer,2018-12-05 08:03:05.556036,5,Bachelor,3,7800.0,44,7,3,3,75,15,87,0,4.82,False
+533,Legal,Male,34,Manager,2019-07-20 08:03:05.556036,5,Master,2,7200.0,38,45,21,9,100,9,39,1,4.21,False
+534,Customer Support,Female,45,Developer,2016-06-02 08:03:05.556036,8,High School,4,7000.0,52,12,25,11,25,5,97,1,2.21,False
+535,HR,Male,29,Consultant,2020-09-14 08:03:05.556036,3,High School,2,6600.0,48,46,21,0,75,9,47,0,3.96,False
+536,Finance,Female,45,Specialist,2022-03-09 08:03:05.556036,2,Bachelor,1,4950.0,52,14,10,12,50,4,26,0,4.16,True
+537,Marketing,Female,46,Technician,2018-03-08 08:03:05.556036,6,Bachelor,2,4200.0,45,37,29,5,75,3,89,1,4.06,False
+538,IT,Male,35,Manager,2022-04-07 08:03:05.556036,2,Bachelor,3,7800.0,49,17,25,6,0,5,57,2,4.16,True
+539,HR,Female,46,Technician,2021-03-13 08:03:05.556036,3,High School,5,5250.0,59,4,13,7,100,4,29,0,2.4,False
+540,Sales,Female,55,Technician,2018-05-03 08:03:05.556036,6,High School,4,4900.0,30,12,29,1,25,9,89,2,1.58,False
+541,Legal,Female,52,Engineer,2022-09-28 08:03:05.556036,1,Bachelor,2,7200.0,36,6,20,4,75,2,2,0,3.18,False
+542,Marketing,Female,35,Specialist,2022-12-15 08:03:05.556036,1,Bachelor,3,5850.0,43,31,10,10,100,3,26,1,4.8,False
+543,Marketing,Other,38,Specialist,2019-04-05 08:03:05.556036,5,PhD,1,4950.0,40,32,26,12,75,16,42,2,4.0,False
+544,Legal,Female,35,Developer,2024-06-29 08:03:05.556036,0,Bachelor,2,6000.0,40,8,9,8,50,4,3,0,4.52,True
+545,Sales,Male,39,Developer,2015-01-02 08:03:05.556036,9,Bachelor,1,5500.0,57,41,12,7,100,10,45,0,2.33,False
+546,Operations,Female,33,Manager,2023-03-26 08:03:05.556036,1,Bachelor,1,6600.0,41,25,11,13,75,11,5,2,2.38,False
+547,Sales,Male,52,Specialist,2015-12-09 08:03:05.556036,8,High School,1,4950.0,49,19,28,9,0,13,79,1,3.44,False
+548,Sales,Other,58,Analyst,2024-09-01 08:03:05.556036,0,Bachelor,3,5200.0,52,12,5,4,25,18,31,0,2.95,False
+549,Finance,Female,48,Specialist,2019-10-29 08:03:05.556036,4,High School,1,4950.0,59,15,23,12,0,6,81,1,1.41,False
+550,Operations,Male,31,Engineer,2018-07-03 08:03:05.556036,6,Master,2,7200.0,31,16,11,4,0,9,62,2,1.85,True
+551,Engineering,Female,31,Specialist,2023-09-04 08:03:05.556036,1,Bachelor,2,5400.0,54,13,24,14,50,18,59,1,3.08,False
+552,Customer Support,Female,45,Analyst,2016-12-20 08:03:05.556036,7,Master,3,5200.0,54,16,22,0,100,17,17,2,2.57,False
+553,Engineering,Female,24,Developer,2018-09-19 08:03:05.556036,5,Bachelor,2,6000.0,38,39,2,4,25,16,46,0,4.2,False
+554,Customer Support,Male,60,Engineer,2021-09-09 08:03:05.556036,2,Bachelor,5,9000.0,40,1,27,5,100,19,7,1,2.66,False
+555,Sales,Male,24,Technician,2014-09-08 08:03:05.556036,9,Master,1,3850.0,52,7,23,2,50,18,96,2,2.34,False
+556,Finance,Male,60,Analyst,2018-04-29 08:03:05.556036,6,High School,5,6000.0,42,33,6,12,0,19,19,1,2.9,False
+557,Customer Support,Female,51,Specialist,2024-03-21 08:03:05.556036,0,Bachelor,2,5400.0,40,5,14,9,75,13,90,1,1.68,False
+558,Engineering,Female,48,Specialist,2019-04-20 08:03:05.556036,5,Master,5,6750.0,40,2,6,8,50,15,98,0,2.48,False
+559,Legal,Female,54,Technician,2016-10-08 08:03:05.556036,7,High School,2,4200.0,36,45,1,1,25,7,34,2,1.12,True
+560,Finance,Female,29,Developer,2020-08-08 08:03:05.556036,4,Bachelor,1,5500.0,31,13,24,14,100,13,40,2,2.88,False
+561,Customer Support,Female,46,Manager,2023-02-02 08:03:05.556036,1,Bachelor,1,6600.0,47,12,23,14,0,18,37,2,2.4,False
+562,Marketing,Female,56,Specialist,2015-07-19 08:03:05.556036,9,Bachelor,1,4950.0,40,18,13,12,100,13,61,2,3.92,False
+563,Engineering,Male,56,Analyst,2022-02-23 08:03:05.556036,2,Bachelor,1,4400.0,40,15,0,6,0,17,12,2,3.58,False
+564,Sales,Female,57,Technician,2022-08-02 08:03:05.556036,2,High School,3,4550.0,49,27,25,13,0,3,20,0,2.8,False
+565,Sales,Female,35,Analyst,2019-01-03 08:03:05.556036,5,Master,3,5200.0,60,36,25,14,25,15,3,0,3.31,False
+566,Operations,Male,33,Technician,2017-06-18 08:03:05.556036,7,Bachelor,5,5250.0,41,26,11,2,75,17,60,0,1.4,False
+567,Customer Support,Female,26,Technician,2018-07-06 08:03:05.556036,6,High School,5,5250.0,50,5,12,10,100,18,75,1,4.14,False
+568,Operations,Female,28,Engineer,2017-12-23 08:03:05.556036,6,Bachelor,4,8400.0,60,35,1,7,0,11,52,0,1.56,True
+569,Marketing,Female,55,Specialist,2015-01-03 08:03:05.556036,9,Master,5,6750.0,32,2,3,9,75,9,2,1,1.66,False
+570,Legal,Male,46,Developer,2014-10-15 08:03:05.556036,9,Bachelor,4,7000.0,46,14,29,14,50,18,87,2,4.04,False
+571,HR,Male,35,Developer,2019-02-20 08:03:05.556036,5,High School,4,7000.0,39,35,18,3,100,11,5,1,2.47,True
+572,Operations,Female,32,Manager,2021-03-24 08:03:05.556036,3,Bachelor,1,6600.0,57,40,24,13,75,19,23,0,2.1,False
+573,HR,Female,26,Analyst,2018-12-15 08:03:05.556036,5,Bachelor,2,4800.0,34,12,6,14,50,15,56,0,2.21,False
+574,Finance,Female,35,Analyst,2021-10-08 08:03:05.556036,2,Bachelor,4,5600.0,40,0,20,5,100,13,92,1,3.97,False
+575,Engineering,Female,41,Manager,2020-07-30 08:03:05.556036,4,Bachelor,5,9000.0,53,35,19,14,75,4,31,2,2.13,False
+576,Marketing,Male,50,Analyst,2021-11-12 08:03:05.556036,2,High School,5,6000.0,43,12,7,6,75,7,5,1,4.86,False
+577,Marketing,Male,25,Technician,2015-08-22 08:03:05.556036,9,High School,4,4900.0,30,39,6,14,100,17,47,0,1.12,False
+578,IT,Male,40,Specialist,2021-11-12 08:03:05.556036,2,High School,3,5850.0,33,34,20,11,100,8,0,1,1.22,True
+579,Customer Support,Female,37,Developer,2022-06-02 08:03:05.556036,2,Bachelor,1,5500.0,41,11,23,4,25,11,84,1,4.54,False
+580,IT,Female,52,Specialist,2019-11-30 08:03:05.556036,4,Bachelor,2,5400.0,40,1,8,12,75,9,77,2,2.7,False
+581,Engineering,Male,54,Analyst,2018-12-13 08:03:05.556036,5,Bachelor,3,5200.0,47,20,19,14,25,5,35,1,2.4,False
+582,Finance,Male,54,Specialist,2017-05-13 08:03:05.556036,7,Bachelor,2,5400.0,32,8,27,14,75,7,86,2,2.38,False
+583,HR,Male,34,Manager,2015-08-18 08:03:05.556036,9,Bachelor,5,9000.0,57,23,25,8,75,14,13,1,1.1,False
+584,Legal,Male,39,Developer,2021-09-06 08:03:05.556036,2,High School,1,5500.0,45,19,17,9,100,13,32,0,1.81,False
+585,Sales,Female,59,Specialist,2018-03-10 08:03:05.556036,6,Bachelor,3,5850.0,40,47,4,4,100,15,71,1,2.92,False
+586,Engineering,Female,53,Engineer,2023-07-24 08:03:05.556036,1,Bachelor,4,8400.0,60,8,9,7,50,4,37,1,3.62,False
+587,IT,Male,49,Developer,2023-12-28 08:03:05.556036,0,High School,2,6000.0,44,46,13,3,0,5,14,0,1.82,False
+588,Marketing,Male,59,Analyst,2015-07-07 08:03:05.556036,9,High School,1,4400.0,59,10,6,3,0,11,20,0,2.16,False
+589,Engineering,Female,36,Consultant,2015-06-01 08:03:05.556036,9,High School,1,6050.0,45,2,9,12,50,14,15,0,1.4,False
+590,Marketing,Male,43,Analyst,2021-06-15 08:03:05.556036,3,High School,5,6000.0,45,49,11,11,50,18,62,0,1.34,False
+591,Engineering,Male,27,Consultant,2022-06-22 08:03:05.556036,2,High School,1,6050.0,51,28,7,3,50,8,90,1,4.35,False
+592,Finance,Male,54,Consultant,2024-01-31 08:03:05.556036,0,Bachelor,5,8250.0,34,22,12,8,75,2,15,2,1.03,False
+593,Marketing,Female,29,Developer,2020-07-13 08:03:05.556036,4,Bachelor,3,6500.0,45,36,11,4,75,7,39,2,1.09,False
+594,HR,Male,33,Analyst,2018-05-12 08:03:05.556036,6,Bachelor,4,5600.0,33,16,28,1,50,11,25,2,1.99,False
+595,HR,Male,35,Developer,2018-07-29 08:03:05.556036,6,Bachelor,1,5500.0,39,44,24,0,0,9,8,0,1.51,True
+596,Finance,Female,43,Manager,2017-06-28 08:03:05.556036,7,Bachelor,4,8400.0,47,35,4,13,100,18,28,0,4.83,False
+597,Sales,Male,40,Technician,2017-09-15 08:03:05.556036,6,Bachelor,3,4550.0,40,17,18,7,75,18,18,2,4.75,False
+598,Operations,Female,27,Technician,2020-11-20 08:03:05.556036,3,Bachelor,5,5250.0,35,11,16,1,75,6,56,2,1.78,False
+599,IT,Female,39,Developer,2021-08-27 08:03:05.556036,3,High School,3,6500.0,40,48,20,9,50,2,64,1,2.76,False
+600,Operations,Male,34,Technician,2020-04-17 08:03:05.556036,4,High School,5,5250.0,52,4,25,10,75,8,38,2,4.46,True
+601,HR,Other,27,Developer,2020-07-24 08:03:05.556036,4,Master,3,6500.0,59,42,7,10,75,1,69,2,1.28,False
+602,IT,Male,27,Developer,2023-12-30 08:03:05.556036,0,Master,5,7500.0,30,16,5,1,0,3,95,2,4.72,False
+603,Customer Support,Female,46,Analyst,2015-03-24 08:03:05.556036,9,Master,1,4400.0,41,49,24,5,25,15,8,2,3.96,False
+604,Sales,Male,28,Consultant,2016-09-18 08:03:05.556036,7,Bachelor,2,6600.0,42,19,11,2,25,13,19,1,4.25,False
+605,Marketing,Male,41,Engineer,2023-11-21 08:03:05.556036,0,High School,5,9000.0,34,9,20,6,100,17,41,2,1.7,False
+606,IT,Female,35,Engineer,2024-06-04 08:03:05.556036,0,Master,4,8400.0,49,1,3,12,75,10,75,0,3.7,False
+607,Engineering,Female,43,Manager,2023-06-08 08:03:05.556036,1,High School,2,7200.0,39,41,21,12,25,9,53,1,4.77,False
+608,Sales,Male,42,Technician,2018-05-14 08:03:05.556036,6,Bachelor,1,3850.0,59,30,9,5,25,2,2,2,4.73,False
+609,Sales,Female,43,Technician,2023-10-31 08:03:05.556036,0,Bachelor,1,3850.0,34,42,17,3,25,16,33,2,4.68,False
+610,Sales,Male,30,Technician,2023-04-19 08:03:05.556036,1,High School,1,3850.0,33,15,20,8,100,18,16,1,3.48,False
+611,Marketing,Female,42,Manager,2019-02-20 08:03:05.556036,5,High School,1,6600.0,55,7,19,7,75,15,15,2,1.58,False
+612,HR,Male,42,Technician,2022-10-09 08:03:05.556036,1,Bachelor,5,5250.0,52,46,14,9,100,1,46,1,2.98,True
+613,Operations,Male,56,Developer,2020-07-19 08:03:05.556036,4,PhD,3,6500.0,55,32,17,11,25,9,95,2,4.34,False
+614,Sales,Female,41,Analyst,2019-01-21 08:03:05.556036,5,Bachelor,3,5200.0,45,0,1,7,0,15,77,1,1.96,False
+615,Operations,Male,24,Specialist,2015-07-10 08:03:05.556036,9,High School,2,5400.0,30,16,0,6,25,7,69,1,3.65,True
+616,Operations,Male,26,Technician,2016-03-13 08:03:05.556036,8,High School,4,4900.0,50,9,13,9,0,6,29,1,3.24,False
+617,Sales,Female,36,Engineer,2022-04-25 08:03:05.556036,2,Master,2,7200.0,34,44,28,12,75,17,27,1,2.14,False
+618,Operations,Male,56,Consultant,2015-03-04 08:03:05.556036,9,Bachelor,1,6050.0,48,24,9,2,50,4,50,1,4.2,False
+619,IT,Female,40,Consultant,2023-12-04 08:03:05.556036,0,Master,2,6600.0,59,29,7,7,25,8,23,0,4.08,False
+620,Operations,Female,56,Technician,2019-09-27 08:03:05.556036,4,High School,1,3850.0,55,21,5,1,0,19,40,0,3.1,True
+621,HR,Male,40,Specialist,2017-07-28 08:03:05.556036,7,Bachelor,4,6300.0,58,0,10,3,0,16,49,0,3.24,False
+622,Engineering,Female,35,Consultant,2021-07-22 08:03:05.556036,3,High School,1,6050.0,51,26,19,0,0,11,39,0,2.51,False
+623,Legal,Male,33,Developer,2023-01-28 08:03:05.556036,1,High School,4,7000.0,60,44,28,12,50,6,34,2,3.93,False
+624,Engineering,Male,42,Technician,2022-05-29 08:03:05.556036,2,Master,5,5250.0,59,38,23,9,50,11,37,1,2.28,False
+625,Legal,Female,51,Engineer,2019-09-13 08:03:05.556036,4,High School,5,9000.0,55,27,9,6,50,12,75,0,1.17,False
+626,Legal,Male,49,Consultant,2020-04-12 08:03:05.556036,4,Master,1,6050.0,52,12,21,1,25,2,17,2,2.9,False
+627,IT,Female,26,Manager,2018-04-13 08:03:05.556036,6,High School,3,7800.0,43,4,14,14,50,5,82,1,2.85,False
+628,IT,Female,33,Engineer,2019-06-14 08:03:05.556036,5,PhD,5,9000.0,50,45,17,0,0,11,16,0,1.32,False
+629,Finance,Female,35,Manager,2022-06-09 08:03:05.556036,2,Bachelor,5,9000.0,43,41,22,10,100,15,87,1,3.73,True
+630,Sales,Female,35,Engineer,2017-09-11 08:03:05.556036,6,High School,3,7800.0,31,35,21,3,50,15,97,2,4.86,False
+631,HR,Female,48,Analyst,2023-10-12 08:03:05.556036,0,Bachelor,1,4400.0,43,41,16,8,0,2,37,1,2.55,False
+632,Finance,Female,35,Manager,2019-05-05 08:03:05.556036,5,Bachelor,2,7200.0,60,30,1,1,0,19,24,0,4.25,False
+633,IT,Female,35,Technician,2018-05-08 08:03:05.556036,6,Bachelor,3,4550.0,37,30,3,6,50,15,73,1,3.84,False
+634,HR,Male,51,Consultant,2023-09-07 08:03:05.556036,0,Bachelor,5,8250.0,56,39,1,4,75,19,39,0,4.88,False
+635,Sales,Male,33,Specialist,2018-05-18 08:03:05.556036,6,High School,1,4950.0,47,35,2,3,0,8,28,0,4.49,False
+636,IT,Female,37,Developer,2016-10-04 08:03:05.556036,7,High School,5,7500.0,39,16,25,8,25,16,64,2,1.56,False
+637,Finance,Other,47,Analyst,2016-08-30 08:03:05.556036,8,Bachelor,4,5600.0,47,19,8,0,50,6,24,2,2.95,False
+638,Sales,Male,42,Specialist,2017-02-10 08:03:05.556036,7,Bachelor,2,5400.0,53,38,25,8,50,14,70,1,4.47,False
+639,Sales,Female,29,Consultant,2024-07-20 08:03:05.556036,0,High School,5,8250.0,44,35,26,4,0,13,88,2,2.44,False
+640,Sales,Male,53,Analyst,2015-03-11 08:03:05.556036,9,High School,4,5600.0,38,17,20,12,100,11,96,1,2.95,True
+641,Engineering,Male,43,Engineer,2017-09-10 08:03:05.556036,6,PhD,2,7200.0,49,16,10,5,0,5,63,2,4.04,False
+642,IT,Male,35,Engineer,2018-09-08 08:03:05.556036,5,High School,4,8400.0,43,39,6,11,25,4,11,1,3.58,False
+643,IT,Male,37,Manager,2015-07-09 08:03:05.556036,9,Bachelor,4,8400.0,35,2,20,3,50,14,55,0,2.37,False
+644,Legal,Male,30,Engineer,2020-05-28 08:03:05.556036,4,Master,2,7200.0,44,26,3,5,0,3,97,0,1.49,False
+645,Legal,Female,59,Manager,2015-10-16 08:03:05.556036,8,High School,2,7200.0,31,17,22,6,100,15,59,2,2.8,False
+646,Finance,Female,39,Technician,2016-01-22 08:03:05.556036,8,High School,4,4900.0,60,14,16,10,100,18,19,2,3.26,False
+647,Customer Support,Male,22,Technician,2019-11-29 08:03:05.556036,4,Master,5,5250.0,50,39,19,0,0,2,19,0,3.6,False
+648,Customer Support,Male,30,Consultant,2015-03-20 08:03:05.556036,9,High School,4,7700.0,47,2,1,5,75,5,54,2,1.83,False
+649,Marketing,Female,31,Developer,2024-09-03 08:03:05.556036,0,Bachelor,4,7000.0,44,46,23,14,75,5,15,1,1.43,False
+650,Legal,Male,44,Developer,2019-01-29 08:03:05.556036,5,High School,2,6000.0,53,15,23,12,100,11,90,0,3.55,False
+651,Legal,Female,29,Developer,2015-12-10 08:03:05.556036,8,Master,3,6500.0,57,43,23,0,100,2,99,2,3.23,False
+652,Operations,Male,33,Specialist,2022-09-12 08:03:05.556036,1,Bachelor,1,4950.0,36,12,11,9,0,18,30,0,2.07,False
+653,Marketing,Male,39,Specialist,2015-06-14 08:03:05.556036,9,PhD,1,4950.0,47,38,27,3,25,3,75,2,1.62,False
+654,Operations,Male,39,Analyst,2014-10-24 08:03:05.556036,9,High School,1,4400.0,40,1,11,5,25,18,89,2,3.18,False
+655,HR,Male,27,Analyst,2015-12-04 08:03:05.556036,8,High School,5,6000.0,31,27,7,8,100,7,81,2,4.24,False
+656,Customer Support,Female,59,Analyst,2016-08-09 08:03:05.556036,8,High School,2,4800.0,46,34,25,6,100,17,23,0,3.25,True
+657,HR,Female,39,Technician,2018-01-02 08:03:05.556036,6,Bachelor,4,4900.0,59,30,10,8,0,12,59,1,2.18,False
+658,Finance,Male,35,Analyst,2020-11-22 08:03:05.556036,3,High School,1,4400.0,41,2,15,3,100,16,94,2,2.69,False
+659,Operations,Female,33,Manager,2014-09-17 08:03:05.556036,9,Bachelor,5,9000.0,49,3,26,4,50,12,86,0,2.91,True
+660,Customer Support,Female,55,Engineer,2020-05-07 08:03:05.556036,4,Bachelor,4,8400.0,46,41,4,7,100,11,23,2,4.84,False
+661,Customer Support,Male,43,Consultant,2024-01-07 08:03:05.556036,0,High School,3,7150.0,34,23,3,2,0,9,63,2,4.08,False
+662,Sales,Male,46,Analyst,2015-07-19 08:03:05.556036,9,High School,1,4400.0,57,48,16,3,75,12,18,1,2.66,False
+663,Engineering,Female,47,Analyst,2020-11-19 08:03:05.556036,3,High School,1,4400.0,40,8,9,5,75,2,29,1,1.89,False
+664,Legal,Male,47,Engineer,2020-05-01 08:03:05.556036,4,Bachelor,3,7800.0,33,41,8,14,100,2,89,2,1.86,False
+665,Customer Support,Female,37,Technician,2018-02-17 08:03:05.556036,6,High School,5,5250.0,36,25,20,13,75,14,87,0,2.19,False
+666,IT,Female,37,Technician,2019-10-08 08:03:05.556036,4,PhD,4,4900.0,48,10,19,2,75,9,10,1,2.13,False
+667,Sales,Male,59,Analyst,2016-10-10 08:03:05.556036,7,High School,1,4400.0,56,9,7,14,0,7,30,0,3.02,False
+668,Finance,Male,45,Technician,2023-02-15 08:03:05.556036,1,PhD,1,3850.0,31,12,16,4,0,11,99,1,3.37,False
+669,Sales,Female,43,Consultant,2014-10-22 08:03:05.556036,9,High School,1,6050.0,53,22,26,5,50,6,98,0,2.85,False
+670,Legal,Male,47,Developer,2019-04-29 08:03:05.556036,5,Master,1,5500.0,37,49,16,7,100,4,58,2,2.35,False
+671,Customer Support,Male,46,Specialist,2016-09-19 08:03:05.556036,7,High School,2,5400.0,59,6,22,14,100,10,22,0,4.33,False
+672,Legal,Female,56,Consultant,2016-09-26 08:03:05.556036,7,Bachelor,3,7150.0,40,49,17,6,100,15,98,0,3.09,False
+673,Finance,Female,53,Analyst,2024-05-27 08:03:05.556036,0,Bachelor,5,6000.0,42,0,26,3,100,14,83,2,4.64,False
+674,Legal,Female,50,Consultant,2019-12-15 08:03:05.556036,4,Bachelor,2,6600.0,48,42,23,1,75,4,79,1,1.29,False
+675,IT,Female,53,Developer,2016-11-25 08:03:05.556036,7,High School,2,6000.0,41,1,27,10,0,11,67,2,4.5,False
+676,Finance,Male,52,Manager,2016-08-07 08:03:05.556036,8,Bachelor,3,7800.0,35,28,27,6,50,17,67,2,4.06,False
+677,IT,Male,46,Manager,2017-04-01 08:03:05.556036,7,High School,3,7800.0,57,37,6,0,0,11,25,2,3.2,False
+678,Legal,Female,25,Consultant,2023-07-17 08:03:05.556036,1,PhD,2,6600.0,41,3,10,5,50,10,74,1,2.75,False
+679,Marketing,Other,60,Consultant,2024-03-06 08:03:05.556036,0,PhD,3,7150.0,51,46,28,12,25,15,21,1,3.16,False
+680,Engineering,Male,44,Analyst,2014-11-07 08:03:05.556036,9,Bachelor,2,4800.0,37,18,26,14,0,14,33,0,1.69,False
+681,Engineering,Male,39,Consultant,2015-10-25 08:03:05.556036,8,Master,1,6050.0,33,47,23,7,75,14,16,1,3.43,False
+682,Operations,Male,51,Technician,2022-01-24 08:03:05.556036,2,Master,2,4200.0,33,21,7,6,75,8,31,0,1.72,True
+683,Operations,Male,46,Technician,2022-02-15 08:03:05.556036,2,High School,5,5250.0,34,26,23,2,25,4,63,0,4.72,False
+684,Engineering,Female,45,Developer,2020-08-11 08:03:05.556036,4,Master,4,7000.0,52,42,23,8,25,10,72,1,4.27,False
+685,Sales,Female,37,Technician,2023-12-13 08:03:05.556036,0,PhD,5,5250.0,33,10,10,13,50,3,48,0,2.06,False
+686,Finance,Male,51,Engineer,2014-09-29 08:03:05.556036,9,High School,1,6600.0,47,24,15,6,75,10,93,2,4.77,True
+687,HR,Female,52,Technician,2023-01-09 08:03:05.556036,1,Master,4,4900.0,57,14,26,1,25,12,66,1,4.82,False
+688,IT,Male,32,Consultant,2016-05-29 08:03:05.556036,8,Bachelor,1,6050.0,57,49,23,0,50,9,50,0,2.43,False
+689,Legal,Male,58,Manager,2014-12-23 08:03:05.556036,9,PhD,3,7800.0,43,31,18,6,100,12,15,0,1.56,False
+690,Sales,Male,48,Technician,2017-09-17 08:03:05.556036,6,Bachelor,4,4900.0,49,9,26,5,50,17,3,2,1.54,False
+691,Finance,Male,54,Engineer,2017-11-03 08:03:05.556036,6,High School,2,7200.0,34,28,2,6,0,10,6,2,3.9,False
+692,Marketing,Male,23,Engineer,2021-03-13 08:03:05.556036,3,Bachelor,4,8400.0,44,20,28,7,50,16,92,0,2.05,False
+693,Sales,Male,50,Developer,2021-11-17 08:03:05.556036,2,Bachelor,1,5500.0,49,48,6,12,50,4,94,1,1.81,False
+694,Engineering,Male,27,Analyst,2021-08-23 08:03:05.556036,3,Master,1,4400.0,30,0,11,5,100,15,47,2,3.99,True
+695,Sales,Male,24,Manager,2017-07-23 08:03:05.556036,7,High School,5,9000.0,40,10,10,10,0,14,81,0,4.76,False
+696,Finance,Male,41,Manager,2021-05-09 08:03:05.556036,3,High School,3,7800.0,47,35,6,9,25,10,69,1,2.88,False
+697,Engineering,Male,33,Consultant,2021-08-22 08:03:05.556036,3,Bachelor,1,6050.0,52,19,16,4,25,13,53,0,3.62,False
+698,Legal,Male,57,Manager,2019-08-20 08:03:05.556036,5,Bachelor,2,7200.0,60,12,13,4,100,5,32,1,4.83,False
+699,Customer Support,Female,42,Technician,2015-12-03 08:03:05.556036,8,Bachelor,4,4900.0,31,26,13,10,0,2,95,2,2.1,False
+700,Legal,Male,57,Manager,2024-08-27 08:03:05.556036,0,Master,2,7200.0,56,43,8,6,25,19,90,0,2.53,False
+701,Sales,Female,44,Analyst,2022-06-08 08:03:05.556036,2,Bachelor,5,6000.0,52,7,5,9,100,7,96,0,1.47,False
+702,IT,Male,26,Developer,2023-03-16 08:03:05.556036,1,Bachelor,4,7000.0,48,27,16,8,75,16,0,0,4.37,False
+703,Marketing,Male,51,Specialist,2016-05-22 08:03:05.556036,8,Bachelor,3,5850.0,39,31,6,1,50,6,60,0,3.26,False
+704,Sales,Male,38,Consultant,2023-03-19 08:03:05.556036,1,Bachelor,4,7700.0,36,47,14,14,100,16,55,2,4.77,False
+705,Marketing,Male,26,Developer,2021-09-24 08:03:05.556036,2,Bachelor,1,5500.0,53,25,2,4,75,5,48,2,2.69,False
+706,Engineering,Male,22,Developer,2017-03-12 08:03:05.556036,7,Master,2,6000.0,33,21,19,13,75,8,25,2,3.23,False
+707,Customer Support,Male,40,Analyst,2023-06-10 08:03:05.556036,1,High School,4,5600.0,57,48,28,2,50,9,56,2,2.53,False
+708,Customer Support,Male,55,Engineer,2023-02-14 08:03:05.556036,1,High School,5,9000.0,46,47,17,12,75,19,41,1,3.65,True
+709,Engineering,Female,60,Consultant,2019-06-26 08:03:05.556036,5,Bachelor,5,8250.0,40,26,2,11,0,17,53,0,2.19,False
+710,Finance,Female,40,Specialist,2022-12-19 08:03:05.556036,1,Master,4,6300.0,40,25,17,10,75,11,73,1,3.71,False
+711,Finance,Female,46,Manager,2021-01-22 08:03:05.556036,3,High School,4,8400.0,56,35,0,10,50,14,96,1,2.1,False
+712,Finance,Female,57,Manager,2019-04-14 08:03:05.556036,5,Bachelor,3,7800.0,34,28,6,1,25,15,74,0,1.84,False
+713,Sales,Male,39,Specialist,2019-09-10 08:03:05.556036,4,High School,5,6750.0,36,0,27,0,100,11,46,1,1.89,True
+714,Sales,Male,44,Consultant,2021-09-29 08:03:05.556036,2,Master,4,7700.0,47,35,8,4,75,10,88,0,2.85,False
+715,Operations,Female,33,Developer,2016-08-24 08:03:05.556036,8,Bachelor,3,6500.0,31,35,13,2,50,11,53,1,2.62,False
+716,Operations,Male,49,Consultant,2017-04-05 08:03:05.556036,7,Master,4,7700.0,38,19,3,2,0,15,39,1,4.3,False
+717,Marketing,Female,42,Consultant,2016-01-01 08:03:05.556036,8,High School,1,6050.0,30,29,14,6,50,5,36,1,1.76,False
+718,Engineering,Other,48,Engineer,2019-10-31 08:03:05.556036,4,Bachelor,3,7800.0,60,14,0,0,50,3,19,2,3.41,False
+719,Legal,Male,35,Developer,2019-06-23 08:03:05.556036,5,High School,2,6000.0,60,24,17,0,75,2,14,1,4.85,False
+720,Legal,Male,27,Manager,2019-01-03 08:03:05.556036,5,Bachelor,3,7800.0,52,3,2,11,25,10,37,0,1.21,True
+721,Finance,Male,46,Engineer,2019-08-09 08:03:05.556036,5,High School,1,6600.0,48,1,17,3,25,17,51,1,2.87,False
+722,Engineering,Male,37,Engineer,2024-07-20 08:03:05.556036,0,Bachelor,4,8400.0,34,45,15,11,25,8,56,2,2.3,False
+723,Operations,Male,52,Technician,2022-03-19 08:03:05.556036,2,Master,1,3850.0,53,20,7,3,75,14,84,1,3.13,False
+724,IT,Male,29,Consultant,2018-03-14 08:03:05.556036,6,Master,2,6600.0,50,16,12,1,75,6,19,2,3.85,False
+725,Finance,Female,60,Consultant,2020-06-03 08:03:05.556036,4,Master,3,7150.0,33,24,28,9,0,3,2,2,3.45,False
+726,Marketing,Female,60,Engineer,2015-06-20 08:03:05.556036,9,High School,3,7800.0,35,20,29,1,25,10,65,2,1.33,False
+727,Marketing,Male,42,Analyst,2016-07-27 08:03:05.556036,8,Bachelor,2,4800.0,53,27,21,14,75,6,63,1,4.09,False
+728,Customer Support,Female,43,Analyst,2023-01-28 08:03:05.556036,1,Bachelor,4,5600.0,39,48,25,5,25,7,4,2,1.04,False
+729,Operations,Female,24,Technician,2020-12-03 08:03:05.556036,3,Master,3,4550.0,50,28,16,8,0,16,44,2,1.52,False
+730,HR,Female,26,Technician,2024-07-21 08:03:05.556036,0,High School,2,4200.0,47,40,9,9,75,19,31,1,4.82,False
+731,Customer Support,Male,29,Specialist,2016-04-13 08:03:05.556036,8,PhD,4,6300.0,31,13,27,2,100,11,10,0,1.52,False
+732,Operations,Male,52,Specialist,2018-09-19 08:03:05.556036,5,High School,3,5850.0,59,8,10,2,0,1,92,0,2.15,False
+733,Legal,Other,51,Technician,2024-08-24 08:03:05.556036,0,High School,4,4900.0,42,7,28,11,0,6,9,0,1.78,False
+734,IT,Male,47,Developer,2022-05-16 08:03:05.556036,2,High School,5,7500.0,49,36,8,3,50,13,71,0,2.19,True
+735,HR,Male,42,Manager,2023-02-10 08:03:05.556036,1,Master,4,8400.0,38,34,25,13,0,10,81,0,2.82,False
+736,Marketing,Female,42,Specialist,2023-12-25 08:03:05.556036,0,Bachelor,1,4950.0,43,9,17,4,75,2,90,2,1.28,False
+737,Engineering,Female,33,Developer,2020-10-23 08:03:05.556036,3,Bachelor,2,6000.0,59,21,20,13,0,19,43,2,4.24,False
+738,IT,Female,32,Specialist,2020-05-19 08:03:05.556036,4,Bachelor,3,5850.0,50,27,17,10,100,1,65,1,4.39,False
+739,Sales,Female,45,Analyst,2019-07-26 08:03:05.556036,5,Bachelor,3,5200.0,59,32,25,9,50,18,89,0,4.03,True
+740,Marketing,Male,25,Manager,2018-10-21 08:03:05.556036,5,High School,3,7800.0,59,41,2,7,25,17,8,1,3.75,False
+741,Sales,Female,54,Engineer,2017-12-09 08:03:05.556036,6,High School,5,9000.0,54,47,24,11,100,13,71,1,3.57,False
+742,Customer Support,Male,55,Engineer,2023-12-23 08:03:05.556036,0,Bachelor,5,9000.0,48,21,27,6,75,1,63,0,1.8,False
+743,Customer Support,Male,31,Engineer,2020-01-20 08:03:05.556036,4,Bachelor,5,9000.0,40,25,11,13,100,5,75,1,2.44,False
+744,IT,Female,51,Analyst,2017-01-31 08:03:05.556036,7,Master,4,5600.0,31,40,5,3,25,10,89,1,2.63,False
+745,Operations,Female,30,Manager,2020-08-03 08:03:05.556036,4,Master,4,8400.0,55,44,19,12,25,19,68,1,2.98,False
+746,Legal,Male,39,Technician,2017-09-13 08:03:05.556036,6,Bachelor,4,4900.0,54,23,15,12,75,1,54,0,1.36,False
+747,HR,Female,60,Manager,2016-07-15 08:03:05.556036,8,Bachelor,5,9000.0,40,37,4,6,75,1,74,2,1.65,False
+748,Finance,Male,53,Manager,2018-09-14 08:03:05.556036,5,High School,2,7200.0,38,23,15,2,25,6,86,2,3.05,False
+749,HR,Male,48,Technician,2016-09-10 08:03:05.556036,7,Bachelor,1,3850.0,44,23,28,7,25,17,32,1,2.22,False
+750,Customer Support,Female,37,Consultant,2021-04-07 08:03:05.556036,3,Bachelor,2,6600.0,32,11,11,6,25,17,71,1,1.01,False
+751,Engineering,Female,39,Engineer,2023-09-24 08:03:05.556036,0,Master,3,7800.0,49,2,9,0,25,16,63,0,2.58,False
+752,IT,Female,45,Manager,2019-12-25 08:03:05.556036,4,High School,1,6600.0,43,34,29,4,50,9,43,0,1.01,False
+753,IT,Male,60,Engineer,2023-09-21 08:03:05.556036,0,Bachelor,1,6600.0,53,3,24,1,50,8,59,1,1.12,False
+754,HR,Female,59,Specialist,2016-05-04 08:03:05.556036,8,High School,2,5400.0,31,30,6,4,25,2,0,2,4.49,False
+755,Finance,Female,23,Consultant,2019-05-09 08:03:05.556036,5,Bachelor,2,6600.0,53,4,21,9,100,17,75,2,3.23,False
+756,HR,Male,59,Manager,2020-04-27 08:03:05.556036,4,High School,1,6600.0,41,35,0,8,50,7,86,0,4.48,False
+757,HR,Female,49,Analyst,2020-11-24 08:03:05.556036,3,Bachelor,2,4800.0,46,5,12,11,100,13,68,1,2.64,False
+758,HR,Male,58,Engineer,2015-07-07 08:03:05.556036,9,High School,5,9000.0,56,9,21,14,75,12,89,1,3.36,False
+759,Customer Support,Male,27,Consultant,2016-08-09 08:03:05.556036,8,High School,2,6600.0,46,44,3,2,0,8,31,0,3.34,False
+760,Legal,Male,42,Specialist,2018-06-23 08:03:05.556036,6,Master,5,6750.0,56,0,19,13,50,19,43,2,3.46,True
+761,Finance,Female,44,Engineer,2023-03-19 08:03:05.556036,1,Master,3,7800.0,37,43,14,0,25,8,2,1,3.74,False
+762,Customer Support,Male,50,Consultant,2023-12-10 08:03:05.556036,0,Bachelor,5,8250.0,34,44,22,3,75,11,19,2,2.19,False
+763,Engineering,Female,57,Specialist,2023-07-25 08:03:05.556036,1,High School,2,5400.0,44,29,22,9,0,17,26,0,3.08,False
+764,Customer Support,Male,44,Technician,2017-06-06 08:03:05.556036,7,Bachelor,5,5250.0,51,12,13,0,25,7,51,2,3.04,False
+765,Operations,Male,29,Specialist,2015-12-02 08:03:05.556036,8,Bachelor,1,4950.0,43,33,8,2,75,7,55,0,1.41,False
+766,IT,Female,33,Specialist,2016-02-21 08:03:05.556036,8,Master,5,6750.0,56,1,7,11,100,12,42,2,2.07,False
+767,HR,Male,34,Analyst,2020-07-07 08:03:05.556036,4,High School,5,6000.0,34,26,15,9,25,9,68,0,1.52,False
+768,Marketing,Female,26,Technician,2021-07-10 08:03:05.556036,3,Master,2,4200.0,58,35,11,9,75,15,83,0,3.47,False
+769,Finance,Female,43,Consultant,2021-11-16 08:03:05.556036,2,Bachelor,4,7700.0,54,47,22,6,0,12,42,2,2.51,False
+770,Engineering,Female,60,Analyst,2021-05-08 08:03:05.556036,3,Bachelor,3,5200.0,42,32,12,5,75,9,68,1,4.4,False
+771,Customer Support,Male,45,Technician,2015-10-21 08:03:05.556036,8,Master,1,3850.0,35,5,11,6,25,8,62,2,1.61,False
+772,Operations,Male,44,Specialist,2023-10-29 08:03:05.556036,0,Bachelor,5,6750.0,37,18,29,11,25,8,36,1,3.69,False
+773,Customer Support,Other,39,Engineer,2017-08-20 08:03:05.556036,7,Bachelor,3,7800.0,45,35,6,1,0,19,56,2,1.72,False
+774,Finance,Male,49,Technician,2016-05-22 08:03:05.556036,8,High School,2,4200.0,36,25,15,0,100,13,27,2,1.28,False
+775,Marketing,Female,52,Developer,2024-01-03 08:03:05.556036,0,High School,3,6500.0,37,4,6,1,0,2,29,2,4.08,False
+776,Customer Support,Female,27,Technician,2017-08-18 08:03:05.556036,7,Bachelor,1,3850.0,31,46,25,6,100,6,44,2,4.02,False
+777,Engineering,Female,42,Specialist,2024-06-29 08:03:05.556036,0,PhD,2,5400.0,50,48,25,13,100,2,98,1,4.5,False
+778,IT,Female,30,Developer,2015-10-29 08:03:05.556036,8,Bachelor,4,7000.0,33,13,5,1,25,17,84,1,4.55,False
+779,Engineering,Female,55,Specialist,2019-02-14 08:03:05.556036,5,Bachelor,3,5850.0,32,22,16,13,75,15,24,2,1.78,False
+780,HR,Male,29,Developer,2016-06-23 08:03:05.556036,8,High School,5,7500.0,51,39,26,13,100,19,34,2,2.77,False
+781,Engineering,Other,28,Specialist,2020-11-06 08:03:05.556036,3,High School,4,6300.0,43,25,26,11,25,19,10,1,2.75,False
+782,Engineering,Female,43,Engineer,2020-11-25 08:03:05.556036,3,Bachelor,2,7200.0,31,28,3,4,100,11,15,1,2.76,False
+783,HR,Female,29,Developer,2019-03-09 08:03:05.556036,5,Bachelor,2,6000.0,43,20,22,13,0,5,8,0,4.33,False
+784,Sales,Female,33,Analyst,2020-02-19 08:03:05.556036,4,High School,2,4800.0,37,33,0,9,75,16,7,2,3.15,False
+785,Engineering,Female,48,Specialist,2015-08-05 08:03:05.556036,9,Bachelor,1,4950.0,57,9,19,2,0,15,62,2,3.1,False
+786,Legal,Female,56,Analyst,2018-04-08 08:03:05.556036,6,Bachelor,2,4800.0,51,5,1,10,50,1,16,2,2.13,True
+787,Legal,Male,32,Developer,2023-08-19 08:03:05.556036,1,Bachelor,3,6500.0,35,12,16,12,0,2,1,1,1.92,False
+788,Legal,Female,44,Specialist,2018-08-21 08:03:05.556036,6,High School,4,6300.0,58,43,6,6,0,13,66,0,4.23,False
+789,Operations,Female,39,Engineer,2015-09-05 08:03:05.556036,9,Bachelor,5,9000.0,38,10,4,1,100,15,49,1,2.51,False
+790,HR,Female,51,Technician,2017-11-01 08:03:05.556036,6,Bachelor,3,4550.0,49,26,7,11,75,4,33,2,4.12,True
+791,Operations,Male,48,Analyst,2019-07-28 08:03:05.556036,5,Master,3,5200.0,52,23,5,2,100,13,64,2,2.27,False
+792,Sales,Male,36,Specialist,2016-08-20 08:03:05.556036,8,Bachelor,2,5400.0,31,22,29,8,0,14,25,0,1.27,False
+793,IT,Female,39,Engineer,2017-11-22 08:03:05.556036,6,Bachelor,4,8400.0,48,17,23,3,25,1,80,2,3.65,True
+794,Marketing,Female,33,Specialist,2022-12-10 08:03:05.556036,1,Bachelor,4,6300.0,41,41,7,5,100,14,30,0,3.59,False
+795,Finance,Female,22,Specialist,2021-12-31 08:03:05.556036,2,Bachelor,1,4950.0,46,35,24,4,0,18,56,2,3.94,False
+796,Finance,Female,35,Engineer,2024-06-18 08:03:05.556036,0,Bachelor,2,7200.0,52,29,3,8,0,13,87,2,1.05,False
+797,Engineering,Male,49,Specialist,2023-01-17 08:03:05.556036,1,Bachelor,2,5400.0,32,14,8,2,75,2,43,0,1.11,False
+798,Operations,Male,41,Consultant,2017-07-18 08:03:05.556036,7,Master,3,7150.0,43,4,3,6,100,13,0,1,3.84,False
+799,Operations,Male,54,Consultant,2017-12-10 08:03:05.556036,6,Bachelor,1,6050.0,50,19,1,5,50,5,3,1,1.27,False
+800,Sales,Female,27,Developer,2019-01-06 08:03:05.556036,5,Bachelor,4,7000.0,33,30,0,8,100,3,17,1,4.42,False
+801,Marketing,Male,27,Specialist,2020-09-17 08:03:05.556036,3,High School,1,4950.0,50,42,27,11,100,12,20,2,2.97,False
+802,Operations,Male,46,Specialist,2024-07-04 08:03:05.556036,0,Bachelor,2,5400.0,49,11,16,14,75,7,29,1,4.27,False
+803,Marketing,Female,33,Specialist,2023-02-18 08:03:05.556036,1,Bachelor,5,6750.0,59,41,0,6,0,7,81,1,2.9,False
+804,Engineering,Female,45,Consultant,2024-03-06 08:03:05.556036,0,Master,5,8250.0,39,24,17,4,75,14,54,1,3.79,False
+805,IT,Male,28,Manager,2020-09-22 08:03:05.556036,3,Bachelor,2,7200.0,43,37,24,3,0,9,55,2,4.01,True
+806,Engineering,Male,60,Specialist,2015-07-05 08:03:05.556036,9,Bachelor,1,4950.0,44,23,9,1,25,2,74,1,1.9,False
+807,Finance,Male,55,Engineer,2017-03-20 08:03:05.556036,7,Bachelor,3,7800.0,40,2,4,14,100,18,95,1,1.34,False
+808,Engineering,Female,44,Engineer,2019-08-14 08:03:05.556036,5,High School,4,8400.0,41,21,7,8,100,9,93,2,3.18,False
+809,Engineering,Male,44,Consultant,2019-01-14 08:03:05.556036,5,Bachelor,1,6050.0,57,24,9,13,100,17,16,0,3.49,False
+810,Sales,Female,30,Manager,2017-12-09 08:03:05.556036,6,High School,3,7800.0,57,28,10,10,100,2,29,1,1.14,False
+811,Sales,Female,24,Developer,2018-06-20 08:03:05.556036,6,Master,1,5500.0,42,40,11,14,25,4,81,0,2.08,False
+812,Marketing,Male,27,Technician,2014-09-27 08:03:05.556036,9,High School,3,4550.0,30,37,11,11,0,16,41,1,3.92,False
+813,Sales,Male,24,Manager,2019-05-18 08:03:05.556036,5,Bachelor,3,7800.0,48,23,14,2,75,19,5,2,1.23,False
+814,HR,Female,31,Consultant,2020-08-21 08:03:05.556036,4,High School,3,7150.0,60,32,26,8,0,11,37,0,3.02,False
+815,Engineering,Female,26,Analyst,2018-02-05 08:03:05.556036,6,PhD,4,5600.0,40,18,27,1,75,8,55,1,2.29,False
+816,Marketing,Female,54,Consultant,2020-04-06 08:03:05.556036,4,Bachelor,1,6050.0,56,6,16,4,75,7,42,2,4.87,False
+817,Legal,Male,51,Consultant,2019-08-02 08:03:05.556036,5,Bachelor,5,8250.0,51,42,22,4,75,7,40,0,3.79,False
+818,Operations,Male,44,Technician,2023-09-27 08:03:05.556036,0,High School,4,4900.0,55,14,20,11,0,7,79,2,1.22,False
+819,Marketing,Male,32,Technician,2016-07-24 08:03:05.556036,8,Bachelor,5,5250.0,54,8,22,4,75,10,78,0,3.88,False
+820,Sales,Male,31,Specialist,2017-10-05 08:03:05.556036,6,Bachelor,1,4950.0,45,11,28,12,50,11,65,1,4.13,False
+821,Legal,Male,25,Technician,2023-06-21 08:03:05.556036,1,Bachelor,4,4900.0,33,48,25,5,50,16,70,1,1.74,False
+822,Sales,Male,32,Developer,2018-07-10 08:03:05.556036,6,Master,5,7500.0,39,4,28,9,100,1,98,1,3.5,False
+823,Legal,Female,54,Specialist,2017-07-07 08:03:05.556036,7,Bachelor,5,6750.0,50,17,2,14,25,15,32,1,3.27,True
+824,Marketing,Female,29,Specialist,2022-12-25 08:03:05.556036,1,Master,2,5400.0,57,38,19,2,100,5,54,1,3.59,False
+825,Finance,Male,22,Engineer,2016-08-07 08:03:05.556036,8,High School,5,9000.0,52,32,16,3,50,11,27,0,4.2,False
+826,Operations,Male,59,Technician,2021-05-12 08:03:05.556036,3,Bachelor,4,4900.0,34,5,17,0,75,14,2,1,4.6,True
+827,IT,Female,58,Specialist,2020-07-15 08:03:05.556036,4,Bachelor,3,5850.0,30,12,21,7,0,10,68,2,2.74,False
+828,Engineering,Female,51,Technician,2016-07-31 08:03:05.556036,8,Master,4,4900.0,37,4,26,4,75,17,89,0,3.44,False
+829,Customer Support,Female,48,Analyst,2020-04-13 08:03:05.556036,4,Bachelor,1,4400.0,35,11,11,14,25,8,50,1,2.55,False
+830,Sales,Female,28,Analyst,2023-04-04 08:03:05.556036,1,Bachelor,3,5200.0,51,25,28,14,100,3,34,1,2.24,False
+831,Legal,Female,47,Manager,2024-05-31 08:03:05.556036,0,Master,1,6600.0,56,17,5,6,75,10,45,1,3.27,False
+832,Sales,Female,37,Specialist,2022-06-20 08:03:05.556036,2,Bachelor,2,5400.0,30,30,16,12,50,1,86,0,1.38,False
+833,Operations,Male,34,Analyst,2014-10-13 08:03:05.556036,9,High School,1,4400.0,39,20,19,7,25,16,54,2,2.98,False
+834,Customer Support,Male,52,Technician,2019-04-15 08:03:05.556036,5,Bachelor,4,4900.0,34,25,12,11,75,19,54,0,1.46,False
+835,Sales,Female,60,Manager,2021-04-12 08:03:05.556036,3,Bachelor,5,9000.0,60,18,18,14,75,7,16,2,4.94,False
+836,Finance,Male,38,Technician,2019-06-25 08:03:05.556036,5,Bachelor,3,4550.0,56,36,7,14,100,19,42,2,4.27,False
+837,Finance,Male,30,Specialist,2017-09-08 08:03:05.556036,6,Bachelor,4,6300.0,45,22,25,2,50,18,89,0,2.85,False
+838,Finance,Female,47,Analyst,2016-02-20 08:03:05.556036,8,Bachelor,5,6000.0,30,24,8,12,0,6,88,1,1.32,False
+839,Operations,Female,37,Engineer,2023-10-28 08:03:05.556036,0,Bachelor,1,6600.0,53,44,3,13,100,8,85,1,3.64,False
+840,Customer Support,Female,44,Manager,2020-07-11 08:03:05.556036,4,High School,1,6600.0,39,44,10,8,25,6,7,1,3.99,False
+841,Marketing,Male,39,Analyst,2019-10-01 08:03:05.556036,4,High School,1,4400.0,33,24,20,14,50,16,21,0,1.17,False
+842,HR,Male,42,Specialist,2022-12-26 08:03:05.556036,1,Master,1,4950.0,57,44,25,6,0,7,43,2,1.47,False
+843,Customer Support,Female,29,Manager,2017-02-07 08:03:05.556036,7,Bachelor,5,9000.0,60,46,0,3,75,2,7,2,2.17,False
+844,Legal,Female,53,Analyst,2016-08-15 08:03:05.556036,8,High School,3,5200.0,58,49,10,9,25,16,45,0,2.38,False
+845,Operations,Male,59,Engineer,2022-06-16 08:03:05.556036,2,Master,5,9000.0,36,0,11,12,25,13,23,2,2.56,False
+846,Sales,Male,37,Specialist,2019-03-14 08:03:05.556036,5,Bachelor,2,5400.0,58,15,21,6,0,11,32,1,4.67,False
+847,Finance,Male,30,Developer,2024-08-26 08:03:05.556036,0,High School,3,6500.0,48,40,3,3,75,10,42,0,4.46,True
+848,Legal,Male,40,Engineer,2017-07-11 08:03:05.556036,7,PhD,4,8400.0,50,39,3,6,50,3,81,2,2.56,False
+849,Operations,Male,38,Specialist,2018-04-18 08:03:05.556036,6,High School,1,4950.0,34,40,27,12,0,3,87,2,2.28,False
+850,Marketing,Female,53,Manager,2022-08-20 08:03:05.556036,2,Bachelor,3,7800.0,49,29,24,1,0,10,75,1,4.29,False
+851,Operations,Female,35,Manager,2021-08-25 08:03:05.556036,3,Bachelor,3,7800.0,51,7,25,13,25,11,22,0,3.07,False
+852,Customer Support,Female,54,Specialist,2016-02-09 08:03:05.556036,8,Bachelor,4,6300.0,34,18,12,10,50,14,61,1,4.04,False
+853,HR,Other,40,Manager,2018-06-24 08:03:05.556036,6,High School,1,6600.0,44,25,22,6,50,14,80,1,3.01,False
+854,IT,Female,44,Technician,2017-02-15 08:03:05.556036,7,PhD,4,4900.0,51,28,20,11,75,9,98,0,1.93,False
+855,HR,Female,45,Analyst,2018-09-29 08:03:05.556036,5,Bachelor,1,4400.0,48,18,16,12,25,1,84,1,4.87,False
+856,Customer Support,Female,59,Technician,2020-12-29 08:03:05.556036,3,High School,5,5250.0,56,43,5,9,50,17,40,1,4.85,False
+857,Customer Support,Male,33,Technician,2021-01-10 08:03:05.556036,3,High School,4,4900.0,39,0,8,12,0,6,56,0,1.61,False
+858,Sales,Female,24,Consultant,2018-12-26 08:03:05.556036,5,High School,3,7150.0,54,21,2,2,100,14,57,2,4.62,False
+859,Marketing,Male,56,Manager,2017-01-24 08:03:05.556036,7,Bachelor,3,7800.0,42,30,26,3,25,5,11,1,2.15,False
+860,Marketing,Male,42,Specialist,2016-08-31 08:03:05.556036,8,Master,4,6300.0,48,33,20,10,50,9,33,0,2.98,False
+861,Finance,Female,59,Analyst,2016-02-29 08:03:05.556036,8,Bachelor,1,4400.0,47,3,5,5,75,6,18,0,4.12,False
+862,HR,Female,44,Technician,2014-09-20 08:03:05.556036,9,Bachelor,4,4900.0,46,35,6,14,75,7,24,1,3.52,False
+863,Sales,Male,37,Engineer,2015-07-13 08:03:05.556036,9,PhD,5,9000.0,31,9,16,2,75,19,71,1,1.28,False
+864,HR,Female,50,Technician,2017-10-19 08:03:05.556036,6,Bachelor,1,3850.0,60,33,25,10,50,14,65,2,1.5,False
+865,IT,Male,35,Specialist,2019-07-30 08:03:05.556036,5,Bachelor,4,6300.0,41,49,0,11,50,1,24,0,3.98,False
+866,Engineering,Male,25,Consultant,2014-10-18 08:03:05.556036,9,Bachelor,4,7700.0,53,24,7,13,75,11,10,2,3.06,False
+867,Engineering,Male,32,Specialist,2023-09-04 08:03:05.556036,1,High School,3,5850.0,52,1,4,8,25,15,52,2,1.01,False
+868,Finance,Male,26,Specialist,2022-12-03 08:03:05.556036,1,Master,3,5850.0,33,16,5,1,50,19,32,1,3.02,False
+869,Sales,Female,54,Consultant,2018-04-27 08:03:05.556036,6,Bachelor,1,6050.0,51,40,15,0,100,13,0,1,2.92,False
+870,Operations,Female,45,Technician,2020-08-25 08:03:05.556036,4,Bachelor,2,4200.0,50,49,24,3,25,6,14,2,2.42,False
+871,Legal,Male,33,Engineer,2022-07-31 08:03:05.556036,2,Bachelor,1,6600.0,42,19,12,8,100,5,60,1,1.56,False
+872,Customer Support,Female,57,Analyst,2016-07-08 08:03:05.556036,8,Bachelor,1,4400.0,46,18,12,3,50,15,30,2,3.27,False
+873,IT,Female,51,Engineer,2017-03-28 08:03:05.556036,7,Bachelor,1,6600.0,32,31,27,0,0,12,9,0,2.31,False
+874,Legal,Male,38,Consultant,2020-05-27 08:03:05.556036,4,PhD,4,7700.0,58,44,0,1,0,5,89,1,3.88,False
+875,Legal,Female,34,Technician,2022-04-11 08:03:05.556036,2,Bachelor,5,5250.0,51,21,19,10,0,9,82,0,2.54,False
+876,Finance,Female,22,Specialist,2022-09-16 08:03:05.556036,1,Master,1,4950.0,60,10,18,6,75,10,16,2,2.77,False
+877,Legal,Female,37,Consultant,2014-09-08 08:03:05.556036,9,High School,4,7700.0,32,23,6,10,75,7,92,2,4.88,True
+878,Marketing,Female,56,Manager,2015-05-28 08:03:05.556036,9,High School,5,9000.0,34,29,11,2,100,3,83,0,3.32,True
+879,Finance,Female,52,Specialist,2016-09-11 08:03:05.556036,7,Bachelor,1,4950.0,59,47,29,4,0,18,44,2,3.6,False
+880,Sales,Male,22,Analyst,2022-09-18 08:03:05.556036,1,Bachelor,1,4400.0,51,3,2,9,0,6,59,2,1.3,False
+881,Finance,Female,23,Manager,2022-08-19 08:03:05.556036,2,Bachelor,4,8400.0,39,27,1,5,25,3,15,1,1.03,False
+882,Customer Support,Male,48,Developer,2014-11-03 08:03:05.556036,9,Bachelor,4,7000.0,34,21,21,9,100,3,77,2,1.16,False
+883,Operations,Male,44,Specialist,2017-01-25 08:03:05.556036,7,High School,5,6750.0,52,16,4,13,75,19,86,1,3.6,False
+884,Finance,Female,36,Analyst,2023-04-16 08:03:05.556036,1,Bachelor,4,5600.0,32,36,21,0,100,9,77,1,3.05,False
+885,Marketing,Female,26,Developer,2021-05-14 08:03:05.556036,3,High School,4,7000.0,33,44,7,12,0,8,27,2,3.25,False
+886,Finance,Male,53,Developer,2015-02-22 08:03:05.556036,9,Bachelor,4,7000.0,46,26,25,3,50,1,29,2,3.92,True
+887,IT,Male,45,Developer,2021-05-06 08:03:05.556036,3,Bachelor,1,5500.0,38,22,21,3,100,7,56,0,4.13,False
+888,Customer Support,Female,46,Consultant,2018-08-23 08:03:05.556036,6,Bachelor,3,7150.0,52,28,26,5,75,10,56,0,2.21,False
+889,Sales,Male,27,Manager,2024-02-26 08:03:05.556036,0,Master,4,8400.0,40,3,29,8,100,7,51,0,1.5,True
+890,Finance,Female,43,Manager,2015-06-08 08:03:05.556036,9,Bachelor,3,7800.0,31,29,20,14,100,7,13,1,2.89,False
+891,Legal,Male,23,Engineer,2016-12-03 08:03:05.556036,7,Bachelor,4,8400.0,31,29,0,4,0,13,24,1,1.3,False
+892,Legal,Male,49,Analyst,2024-06-11 08:03:05.556036,0,Bachelor,1,4400.0,40,20,21,7,0,10,24,0,1.74,False
+893,Operations,Male,57,Developer,2015-10-26 08:03:05.556036,8,Bachelor,3,6500.0,41,4,25,13,50,4,7,1,3.0,True
+894,Sales,Female,23,Developer,2023-12-13 08:03:05.556036,0,Bachelor,2,6000.0,46,16,0,0,0,11,54,1,3.13,False
+895,Finance,Male,34,Technician,2015-07-07 08:03:05.556036,9,Bachelor,4,4900.0,43,10,21,11,75,1,4,0,1.93,False
+896,Customer Support,Male,39,Consultant,2022-07-10 08:03:05.556036,2,Master,1,6050.0,35,45,16,10,0,1,5,1,4.82,False
+897,Customer Support,Female,52,Analyst,2017-06-10 08:03:05.556036,7,Bachelor,5,6000.0,53,48,19,14,75,4,35,2,2.5,False
+898,Engineering,Female,50,Consultant,2023-01-01 08:03:05.556036,1,Master,3,7150.0,33,26,20,8,25,19,64,0,3.84,False
+899,Sales,Female,60,Analyst,2020-12-07 08:03:05.556036,3,Bachelor,2,4800.0,48,49,9,7,100,3,89,0,4.79,False
+900,Engineering,Male,40,Manager,2023-01-09 08:03:05.556036,1,High School,2,7200.0,36,16,2,0,75,15,69,2,3.28,False
+901,Engineering,Male,57,Manager,2017-11-16 08:03:05.556036,6,Master,3,7800.0,54,46,6,14,100,19,14,0,1.96,False
+902,HR,Female,55,Consultant,2016-06-02 08:03:05.556036,8,Bachelor,1,6050.0,33,15,19,7,100,10,19,2,1.96,False
+903,HR,Female,50,Specialist,2020-07-31 08:03:05.556036,4,Bachelor,4,6300.0,59,15,23,8,75,16,83,0,3.9,False
+904,Sales,Female,55,Specialist,2020-07-06 08:03:05.556036,4,Master,2,5400.0,42,34,23,5,100,2,32,0,2.71,False
+905,Sales,Female,55,Manager,2017-02-28 08:03:05.556036,7,High School,5,9000.0,41,18,3,10,0,18,33,1,2.77,False
+906,Customer Support,Female,40,Specialist,2020-11-17 08:03:05.556036,3,Bachelor,1,4950.0,37,2,9,14,75,18,67,2,3.55,False
+907,Engineering,Male,53,Analyst,2020-08-12 08:03:05.556036,4,High School,2,4800.0,45,44,26,4,100,14,56,2,4.37,False
+908,Legal,Other,36,Specialist,2016-02-25 08:03:05.556036,8,High School,5,6750.0,56,21,23,11,25,15,2,2,4.4,False
+909,Operations,Female,60,Engineer,2023-01-27 08:03:05.556036,1,Bachelor,2,7200.0,38,4,10,10,50,19,61,0,1.05,False
+910,Sales,Female,46,Developer,2017-02-22 08:03:05.556036,7,High School,1,5500.0,30,20,2,9,50,6,98,2,3.06,False
+911,Operations,Male,47,Developer,2014-12-09 08:03:05.556036,9,Bachelor,4,7000.0,45,19,2,4,50,1,7,0,1.74,False
+912,IT,Male,47,Consultant,2022-04-09 08:03:05.556036,2,Bachelor,4,7700.0,54,33,13,10,0,5,71,1,3.29,False
+913,Customer Support,Male,30,Developer,2015-12-31 08:03:05.556036,8,Bachelor,1,5500.0,55,48,1,11,50,16,67,0,2.07,False
+914,Sales,Female,40,Engineer,2020-09-08 08:03:05.556036,3,Bachelor,2,7200.0,52,33,8,1,100,8,76,2,1.06,False
+915,Engineering,Female,40,Technician,2019-10-07 08:03:05.556036,4,Master,1,3850.0,35,15,26,8,75,3,62,2,3.53,False
+916,Legal,Male,24,Technician,2016-03-26 08:03:05.556036,8,Master,3,4550.0,47,32,29,12,0,14,97,2,1.33,False
+917,Operations,Female,28,Developer,2017-08-29 08:03:05.556036,7,Bachelor,2,6000.0,38,40,17,13,50,8,94,0,1.14,False
+918,Marketing,Female,28,Engineer,2016-10-11 08:03:05.556036,7,Bachelor,4,8400.0,41,7,1,2,75,3,89,2,4.3,False
+919,Engineering,Male,45,Analyst,2018-09-07 08:03:05.556036,5,Master,3,5200.0,49,7,29,13,50,3,65,1,2.92,False
+920,Finance,Male,37,Developer,2015-09-09 08:03:05.556036,8,Bachelor,1,5500.0,35,47,8,3,75,15,66,0,3.47,True
+921,Finance,Female,24,Manager,2018-03-09 08:03:05.556036,6,Bachelor,3,7800.0,43,40,16,4,25,4,29,2,1.17,False
+922,Finance,Male,54,Engineer,2017-03-17 08:03:05.556036,7,Bachelor,3,7800.0,33,2,11,5,25,17,62,1,2.81,False
+923,IT,Male,40,Engineer,2016-10-18 08:03:05.556036,7,PhD,1,6600.0,39,17,14,8,50,16,21,1,3.07,False
+924,Customer Support,Male,23,Technician,2014-10-22 08:03:05.556036,9,Bachelor,3,4550.0,30,8,27,12,75,16,40,2,4.49,False
+925,Marketing,Other,29,Consultant,2017-02-04 08:03:05.556036,7,High School,5,8250.0,58,32,27,11,50,15,4,1,3.58,False
+926,Engineering,Male,43,Developer,2014-10-17 08:03:05.556036,9,Master,4,7000.0,30,22,21,4,0,9,16,2,3.2,False
+927,IT,Male,49,Specialist,2018-07-08 08:03:05.556036,6,Master,5,6750.0,44,19,26,10,100,4,71,0,2.16,False
+928,Operations,Female,39,Technician,2015-02-21 08:03:05.556036,9,High School,5,5250.0,54,31,10,5,0,11,76,0,2.35,False
+929,Operations,Female,36,Developer,2024-06-21 08:03:05.556036,0,Bachelor,1,5500.0,39,9,19,6,75,3,34,2,3.74,False
+930,Engineering,Female,32,Specialist,2018-08-25 08:03:05.556036,6,High School,2,5400.0,34,43,23,7,0,4,70,2,3.24,False
+931,Sales,Male,48,Technician,2020-01-01 08:03:05.556036,4,Bachelor,5,5250.0,44,9,18,14,25,1,69,1,3.79,False
+932,Sales,Female,54,Engineer,2016-11-02 08:03:05.556036,7,Bachelor,5,9000.0,54,13,5,3,0,11,72,2,3.17,False
+933,Engineering,Female,27,Engineer,2024-02-10 08:03:05.556036,0,Bachelor,5,9000.0,53,13,25,1,50,8,76,1,4.0,False
+934,Engineering,Female,54,Consultant,2022-07-30 08:03:05.556036,2,Bachelor,2,6600.0,46,42,12,8,75,1,84,1,1.29,False
+935,IT,Female,35,Manager,2023-09-13 08:03:05.556036,0,Master,4,8400.0,58,4,9,7,25,1,74,1,1.45,False
+936,Finance,Female,57,Developer,2014-09-14 08:03:05.556036,9,Bachelor,3,6500.0,60,38,1,2,25,7,49,2,4.78,False
+937,Engineering,Male,24,Consultant,2017-05-18 08:03:05.556036,7,Master,1,6050.0,45,44,29,8,0,18,42,1,3.52,False
+938,Legal,Female,52,Technician,2023-03-24 08:03:05.556036,1,Bachelor,4,4900.0,56,19,13,2,100,14,68,1,3.3,False
+939,Engineering,Male,59,Analyst,2022-02-17 08:03:05.556036,2,Bachelor,4,5600.0,44,40,18,5,75,14,66,0,4.83,False
+940,IT,Male,56,Consultant,2020-10-31 08:03:05.556036,3,Bachelor,3,7150.0,34,29,18,2,50,19,38,0,1.29,False
+941,Legal,Male,47,Analyst,2023-07-05 08:03:05.556036,1,Bachelor,3,5200.0,40,1,4,6,75,3,69,0,4.33,True
+942,HR,Male,54,Manager,2020-09-06 08:03:05.556036,3,Bachelor,4,8400.0,58,13,11,4,0,14,69,1,2.79,False
+943,Operations,Male,55,Specialist,2015-09-21 08:03:05.556036,8,Master,1,4950.0,41,3,23,10,100,10,32,2,3.04,False
+944,IT,Female,43,Specialist,2014-12-06 08:03:05.556036,9,Bachelor,1,4950.0,45,7,2,5,50,4,42,1,4.78,False
+945,HR,Male,57,Technician,2018-11-14 08:03:05.556036,5,High School,1,3850.0,60,37,7,7,100,18,14,0,3.49,False
+946,HR,Male,22,Technician,2018-10-03 08:03:05.556036,5,PhD,1,3850.0,44,25,22,0,25,18,7,0,2.29,False
+947,Legal,Female,55,Consultant,2019-01-29 08:03:05.556036,5,Bachelor,2,6600.0,45,12,19,10,75,18,75,0,2.98,False
+948,Operations,Female,38,Consultant,2020-01-11 08:03:05.556036,4,Bachelor,3,7150.0,38,24,0,5,0,19,18,0,4.68,False
+949,Operations,Female,58,Developer,2018-02-26 08:03:05.556036,6,High School,2,6000.0,42,19,28,6,100,9,91,1,1.51,False
+950,IT,Male,23,Manager,2017-05-21 08:03:05.556036,7,Bachelor,3,7800.0,39,38,8,4,50,6,99,0,4.49,False
+951,Finance,Male,38,Specialist,2015-09-06 08:03:05.556036,9,Bachelor,2,5400.0,44,5,1,3,50,3,98,1,1.0,False
+952,Engineering,Female,30,Analyst,2020-08-22 08:03:05.556036,4,PhD,1,4400.0,34,33,14,14,75,4,56,2,2.05,False
+953,Operations,Male,46,Manager,2020-07-08 08:03:05.556036,4,Bachelor,1,6600.0,47,8,18,4,0,2,25,1,4.54,False
+954,Sales,Male,31,Technician,2015-11-30 08:03:05.556036,8,Master,5,5250.0,57,28,8,6,0,11,23,2,4.71,False
+955,Marketing,Female,60,Developer,2019-05-12 08:03:05.556036,5,Bachelor,5,7500.0,48,41,8,1,75,3,44,1,3.11,False
+956,Customer Support,Female,41,Engineer,2016-11-22 08:03:05.556036,7,Bachelor,1,6600.0,35,35,19,1,100,13,50,0,1.34,False
+957,Operations,Male,57,Engineer,2022-07-13 08:03:05.556036,2,Bachelor,3,7800.0,51,8,14,9,0,6,59,2,3.4,False
+958,Marketing,Male,60,Engineer,2021-04-29 08:03:05.556036,3,Bachelor,3,7800.0,35,17,1,1,50,1,76,2,4.42,False
+959,Marketing,Female,25,Engineer,2020-10-03 08:03:05.556036,3,Bachelor,2,7200.0,40,7,6,13,0,10,99,1,3.39,False
+960,IT,Female,53,Technician,2022-08-18 08:03:05.556036,2,Bachelor,4,4900.0,55,29,26,9,25,18,12,2,3.02,False
+961,Engineering,Male,34,Specialist,2016-11-12 08:03:05.556036,7,Bachelor,4,6300.0,36,44,9,3,75,7,2,2,3.43,True
+962,Marketing,Male,22,Engineer,2016-11-05 08:03:05.556036,7,High School,3,7800.0,48,22,6,0,0,17,32,0,1.94,False
+963,Legal,Female,30,Technician,2015-03-17 08:03:05.556036,9,Master,4,4900.0,55,23,6,2,75,5,73,0,1.2,True
+964,HR,Male,41,Consultant,2018-08-30 08:03:05.556036,6,High School,4,7700.0,54,31,14,8,25,14,57,0,1.96,False
+965,Engineering,Female,42,Specialist,2021-12-25 08:03:05.556036,2,Bachelor,1,4950.0,47,22,8,10,0,2,42,0,2.09,False
+966,Engineering,Male,59,Analyst,2023-06-24 08:03:05.556036,1,High School,5,6000.0,51,41,4,13,100,9,47,2,4.61,False
+967,Operations,Female,26,Engineer,2023-09-24 08:03:05.556036,0,Bachelor,1,6600.0,50,34,23,9,100,19,57,1,4.14,False
+968,Customer Support,Male,30,Engineer,2015-10-19 08:03:05.556036,8,Bachelor,2,7200.0,44,49,2,14,75,15,83,0,2.59,False
+969,Finance,Female,57,Technician,2020-06-25 08:03:05.556036,4,Bachelor,5,5250.0,37,14,22,8,100,8,61,0,1.06,False
+970,Finance,Female,60,Engineer,2021-04-20 08:03:05.556036,3,PhD,2,7200.0,48,14,8,9,75,10,93,0,3.5,False
+971,HR,Female,40,Manager,2019-06-16 08:03:05.556036,5,Bachelor,4,8400.0,37,28,11,14,100,13,10,2,4.68,True
+972,Finance,Female,34,Engineer,2021-06-30 08:03:05.556036,3,High School,4,8400.0,42,17,1,11,75,4,29,0,3.02,False
+973,IT,Male,60,Engineer,2022-11-18 08:03:05.556036,1,Bachelor,3,7800.0,41,31,19,3,75,4,15,2,3.93,True
+974,IT,Male,52,Specialist,2018-12-14 08:03:05.556036,5,High School,5,6750.0,40,7,20,1,0,18,59,0,1.67,False
+975,Sales,Male,44,Manager,2018-12-28 08:03:05.556036,5,High School,4,8400.0,47,46,19,6,100,4,43,1,4.0,False
+976,IT,Male,57,Engineer,2015-05-20 08:03:05.556036,9,Bachelor,3,7800.0,39,31,4,11,50,3,62,1,4.51,False
+977,Engineering,Female,25,Manager,2021-09-18 08:03:05.556036,2,High School,4,8400.0,38,32,8,5,75,3,53,1,4.93,False
+978,Customer Support,Female,41,Technician,2018-10-08 08:03:05.556036,5,Bachelor,2,4200.0,49,32,5,11,75,5,13,0,1.58,False
+979,Customer Support,Female,43,Specialist,2020-08-19 08:03:05.556036,4,Bachelor,5,6750.0,54,36,19,13,0,13,97,0,1.61,False
+980,Engineering,Female,44,Consultant,2016-06-13 08:03:05.556036,8,Bachelor,5,8250.0,57,7,9,4,0,11,95,2,3.62,False
+981,Operations,Male,24,Technician,2022-11-12 08:03:05.556036,1,Master,5,5250.0,31,24,14,2,75,5,36,0,1.85,False
+982,HR,Male,51,Engineer,2018-06-28 08:03:05.556036,6,High School,3,7800.0,60,14,1,3,50,17,95,2,3.61,False
+983,Sales,Female,52,Manager,2022-06-06 08:03:05.556036,2,Bachelor,1,6600.0,51,9,4,8,75,10,28,1,2.4,False
+984,Sales,Female,37,Consultant,2016-11-10 08:03:05.556036,7,Bachelor,3,7150.0,34,5,27,14,100,19,27,0,2.64,False
+985,Marketing,Other,53,Technician,2024-01-28 08:03:05.556036,0,Bachelor,5,5250.0,44,35,7,7,50,11,73,2,1.62,False
+986,IT,Female,56,Developer,2020-07-31 08:03:05.556036,4,Master,1,5500.0,30,41,7,13,50,3,18,2,4.18,False
+987,Engineering,Male,35,Consultant,2015-09-13 08:03:05.556036,8,Bachelor,5,8250.0,40,21,14,10,100,12,79,2,1.34,False
+988,Marketing,Male,29,Engineer,2020-06-04 08:03:05.556036,4,Bachelor,3,7800.0,41,38,21,6,75,5,68,2,2.95,False
+989,Customer Support,Male,42,Technician,2017-03-14 08:03:05.556036,7,Master,2,4200.0,33,9,8,4,75,11,91,1,3.65,False
+990,Operations,Male,42,Technician,2024-05-02 08:03:05.556036,0,Bachelor,1,3850.0,34,47,28,12,100,9,4,0,4.44,False
+991,IT,Male,46,Manager,2022-01-11 08:03:05.556036,2,Bachelor,2,7200.0,38,48,12,0,50,9,57,2,2.58,False
+992,Marketing,Female,38,Technician,2023-04-12 08:03:05.556036,1,High School,3,4550.0,43,33,20,0,100,17,8,1,2.46,False
+993,Marketing,Female,44,Developer,2014-12-04 08:03:05.556036,9,PhD,4,7000.0,45,1,10,4,50,7,65,1,1.55,False
+994,Operations,Male,41,Specialist,2017-10-11 08:03:05.556036,6,Bachelor,3,5850.0,53,29,3,3,50,7,29,2,3.75,False
+995,HR,Female,50,Manager,2015-06-24 08:03:05.556036,9,Bachelor,5,9000.0,41,5,5,0,100,12,5,2,3.41,False
+996,IT,Male,22,Engineer,2021-06-01 08:03:05.556036,3,High School,4,8400.0,37,27,20,3,25,2,2,0,2.94,False
+997,IT,Female,54,Analyst,2023-04-22 08:03:05.556036,1,Master,3,5200.0,55,14,8,2,100,11,64,1,3.73,False
+998,Engineering,Male,23,Developer,2018-11-14 08:03:05.556036,5,Bachelor,4,7000.0,33,35,2,6,75,3,27,1,4.26,True
+999,Legal,Female,40,Consultant,2023-05-15 08:03:05.556036,1,High School,3,7150.0,49,4,20,3,50,12,15,1,4.1,False
+1000,HR,Female,28,Analyst,2018-02-05 08:03:05.556036,6,High School,1,4400.0,45,4,25,6,75,1,14,0,4.96,False
+1001,Customer Support,Female,37,Manager,2022-01-11 08:03:05.556036,2,Bachelor,3,7800.0,55,13,18,11,0,13,59,2,4.45,True
+1002,IT,Female,52,Analyst,2015-11-07 08:03:05.556036,8,Bachelor,4,5600.0,31,36,28,8,75,11,87,1,2.98,False
+1003,IT,Male,45,Specialist,2020-02-21 08:03:05.556036,4,Master,2,5400.0,36,48,20,4,100,5,14,0,3.68,False
+1004,Marketing,Male,35,Engineer,2018-03-21 08:03:05.556036,6,High School,2,7200.0,40,18,12,13,25,10,34,1,4.32,False
+1005,IT,Female,29,Manager,2015-08-04 08:03:05.556036,9,Bachelor,1,6600.0,33,17,8,14,100,19,17,2,3.79,False
+1006,Engineering,Male,33,Analyst,2022-10-01 08:03:05.556036,1,Master,1,4400.0,59,40,25,4,50,15,27,2,4.08,False
+1007,Sales,Male,25,Analyst,2024-06-05 08:03:05.556036,0,High School,3,5200.0,41,36,27,1,0,3,27,0,2.68,False
+1008,Finance,Male,39,Manager,2024-08-15 08:03:05.556036,0,Bachelor,4,8400.0,32,4,22,1,25,9,26,0,2.37,False
+1009,Operations,Female,52,Technician,2016-08-13 08:03:05.556036,8,Bachelor,4,4900.0,60,17,3,14,0,6,71,1,2.66,False
+1010,Legal,Other,51,Analyst,2015-06-30 08:03:05.556036,9,Master,4,5600.0,44,20,10,10,75,5,49,1,4.35,False
+1011,Marketing,Male,49,Technician,2015-09-07 08:03:05.556036,9,High School,2,4200.0,42,32,13,5,0,11,60,2,3.53,False
+1012,HR,Female,53,Manager,2022-12-18 08:03:05.556036,1,Bachelor,2,7200.0,58,34,7,8,75,19,89,2,3.38,False
+1013,IT,Female,60,Technician,2021-08-26 08:03:05.556036,3,High School,2,4200.0,48,29,22,7,25,10,87,1,4.49,True
+1014,Engineering,Male,57,Technician,2018-09-30 08:03:05.556036,5,Bachelor,3,4550.0,35,45,11,8,0,17,83,0,1.52,False
+1015,Operations,Male,22,Consultant,2023-07-22 08:03:05.556036,1,Bachelor,2,6600.0,46,23,8,6,100,2,47,1,2.31,False
+1016,HR,Male,45,Technician,2017-05-24 08:03:05.556036,7,High School,5,5250.0,50,27,7,2,50,17,91,2,4.03,False
+1017,Finance,Male,33,Engineer,2015-06-13 08:03:05.556036,9,Bachelor,2,7200.0,37,27,22,5,0,15,26,0,1.2,False
+1018,Engineering,Female,50,Specialist,2015-08-09 08:03:05.556036,9,High School,3,5850.0,50,24,21,11,25,1,76,2,3.31,False
+1019,HR,Female,43,Analyst,2020-05-25 08:03:05.556036,4,Bachelor,1,4400.0,30,3,22,1,100,6,27,0,2.25,False
+1020,Operations,Female,45,Specialist,2017-10-31 08:03:05.556036,6,Bachelor,5,6750.0,40,44,16,14,100,16,90,2,2.74,False
+1021,Legal,Female,24,Technician,2018-04-24 08:03:05.556036,6,High School,4,4900.0,50,0,3,4,100,15,9,0,2.08,False
+1022,Marketing,Female,42,Developer,2019-11-08 08:03:05.556036,4,High School,2,6000.0,47,46,22,8,100,11,34,2,3.06,False
+1023,Engineering,Female,54,Developer,2017-06-19 08:03:05.556036,7,Master,3,6500.0,34,16,27,13,75,10,36,1,3.85,False
+1024,Legal,Female,33,Engineer,2021-05-18 08:03:05.556036,3,Bachelor,2,7200.0,33,24,25,2,50,6,44,0,1.46,True
+1025,HR,Female,36,Manager,2018-01-18 08:03:05.556036,6,Bachelor,2,7200.0,50,33,9,13,0,4,88,2,1.33,False
+1026,Customer Support,Female,26,Manager,2021-01-10 08:03:05.556036,3,High School,5,9000.0,42,45,14,5,50,18,31,0,2.3,False
+1027,HR,Male,51,Specialist,2016-06-04 08:03:05.556036,8,Bachelor,1,4950.0,56,33,5,14,25,19,81,1,4.29,False
+1028,Legal,Female,49,Manager,2019-12-17 08:03:05.556036,4,Master,2,7200.0,46,40,18,10,50,8,8,2,4.61,False
+1029,Engineering,Male,22,Developer,2020-05-09 08:03:05.556036,4,High School,4,7000.0,30,42,13,0,75,8,53,0,4.81,False
+1030,Sales,Female,56,Developer,2016-03-18 08:03:05.556036,8,Master,4,7000.0,34,27,25,0,50,13,20,2,3.96,False
+1031,IT,Male,47,Technician,2015-09-17 08:03:05.556036,8,High School,1,3850.0,34,30,19,9,100,5,52,2,3.16,False
+1032,Customer Support,Female,53,Developer,2021-03-12 08:03:05.556036,3,High School,5,7500.0,36,49,2,8,75,12,59,1,2.78,False
+1033,HR,Male,43,Manager,2018-03-23 08:03:05.556036,6,Bachelor,4,8400.0,49,47,16,4,50,3,47,1,3.51,False
+1034,Finance,Male,26,Manager,2023-11-24 08:03:05.556036,0,High School,2,7200.0,52,15,5,11,0,5,47,2,4.81,False
+1035,Marketing,Male,48,Specialist,2017-11-13 08:03:05.556036,6,Bachelor,4,6300.0,57,36,28,8,100,10,90,0,1.77,False
+1036,IT,Female,50,Consultant,2020-12-11 08:03:05.556036,3,Bachelor,4,7700.0,45,38,24,14,0,4,76,0,4.92,False
+1037,Marketing,Male,50,Consultant,2021-06-18 08:03:05.556036,3,Master,5,8250.0,60,4,20,9,0,3,38,0,2.85,False
+1038,Finance,Female,54,Analyst,2022-04-15 08:03:05.556036,2,Bachelor,2,4800.0,57,39,23,4,50,4,23,0,3.85,False
+1039,Legal,Male,47,Manager,2022-04-25 08:03:05.556036,2,Master,2,7200.0,45,5,10,10,100,1,55,2,2.34,False
+1040,Customer Support,Female,48,Developer,2022-12-06 08:03:05.556036,1,Bachelor,2,6000.0,55,13,21,1,0,4,92,0,3.54,False
+1041,Legal,Female,36,Developer,2022-02-18 08:03:05.556036,2,Master,1,5500.0,48,37,1,3,50,7,79,1,1.23,False
+1042,Sales,Female,58,Consultant,2019-04-22 08:03:05.556036,5,Bachelor,1,6050.0,52,13,29,1,50,16,6,0,1.27,False
+1043,IT,Female,43,Specialist,2016-11-26 08:03:05.556036,7,High School,2,5400.0,51,12,2,7,0,17,75,2,3.18,False
+1044,Legal,Male,38,Analyst,2021-01-02 08:03:05.556036,3,High School,5,6000.0,59,49,1,14,75,11,37,2,2.71,False
+1045,Legal,Female,52,Engineer,2019-08-08 08:03:05.556036,5,High School,3,7800.0,44,6,7,10,50,5,72,1,3.23,False
+1046,Engineering,Female,51,Developer,2019-02-20 08:03:05.556036,5,Bachelor,2,6000.0,51,11,24,1,50,16,37,2,4.02,False
+1047,Customer Support,Other,43,Manager,2020-11-28 08:03:05.556036,3,High School,3,7800.0,54,18,18,2,25,12,25,1,4.02,False
+1048,Sales,Female,36,Engineer,2015-10-25 08:03:05.556036,8,Bachelor,1,6600.0,47,26,19,12,25,4,77,1,2.42,True
+1049,Operations,Male,36,Technician,2022-02-21 08:03:05.556036,2,Bachelor,4,4900.0,48,27,3,0,50,7,18,0,1.18,False
+1050,IT,Female,41,Developer,2019-09-17 08:03:05.556036,4,Master,5,7500.0,33,28,26,10,0,5,80,1,1.56,False
+1051,Finance,Male,37,Analyst,2020-12-11 08:03:05.556036,3,Bachelor,2,4800.0,43,0,14,13,50,9,62,2,4.1,False
+1052,HR,Male,50,Consultant,2019-12-05 08:03:05.556036,4,Bachelor,3,7150.0,49,10,2,12,75,14,21,0,1.68,True
+1053,Customer Support,Female,35,Analyst,2021-03-28 08:03:05.556036,3,High School,4,5600.0,52,6,2,10,100,13,99,2,3.77,False
+1054,Finance,Female,31,Specialist,2022-05-10 08:03:05.556036,2,Bachelor,3,5850.0,45,20,16,3,25,2,22,0,2.0,False
+1055,Legal,Female,45,Analyst,2016-05-01 08:03:05.556036,8,Bachelor,3,5200.0,45,29,3,11,75,11,96,1,1.14,False
+1056,Marketing,Male,30,Engineer,2018-03-23 08:03:05.556036,6,Bachelor,4,8400.0,52,44,18,12,0,3,61,2,4.58,False
+1057,Finance,Male,39,Engineer,2018-08-11 08:03:05.556036,6,High School,2,7200.0,51,28,25,4,0,18,15,2,3.21,False
+1058,Engineering,Male,42,Technician,2023-10-02 08:03:05.556036,0,Bachelor,4,4900.0,32,10,1,14,75,17,91,0,3.55,False
+1059,Customer Support,Male,36,Consultant,2019-09-19 08:03:05.556036,4,Bachelor,2,6600.0,46,20,22,6,50,3,18,1,4.04,False
+1060,Marketing,Female,53,Developer,2014-12-27 08:03:05.556036,9,High School,2,6000.0,51,6,26,2,0,7,87,1,3.19,False
+1061,IT,Female,35,Manager,2018-08-20 08:03:05.556036,6,Bachelor,4,8400.0,53,32,10,1,50,18,73,1,2.62,False
+1062,Customer Support,Male,39,Technician,2023-05-26 08:03:05.556036,1,Bachelor,5,5250.0,57,41,18,4,25,1,71,0,2.87,False
+1063,Marketing,Other,48,Consultant,2015-10-02 08:03:05.556036,8,Master,3,7150.0,32,42,26,11,25,15,30,1,3.59,False
+1064,Operations,Male,40,Developer,2019-01-06 08:03:05.556036,5,High School,4,7000.0,40,40,9,9,75,13,87,1,1.51,False
+1065,Engineering,Male,31,Specialist,2018-09-19 08:03:05.556036,5,Master,3,5850.0,37,22,25,1,25,9,57,2,1.92,False
+1066,Customer Support,Female,59,Analyst,2023-11-13 08:03:05.556036,0,Master,5,6000.0,47,48,10,6,50,14,35,0,3.66,False
+1067,Operations,Female,49,Specialist,2023-02-28 08:03:05.556036,1,Bachelor,3,5850.0,46,12,27,8,100,8,32,0,1.74,False
+1068,Engineering,Male,43,Specialist,2015-02-13 08:03:05.556036,9,Master,4,6300.0,48,24,9,11,50,1,90,0,1.66,False
+1069,Legal,Female,29,Engineer,2017-12-28 08:03:05.556036,6,High School,2,7200.0,31,41,25,5,25,7,62,1,2.79,False
+1070,Sales,Male,55,Manager,2020-09-29 08:03:05.556036,3,Bachelor,4,8400.0,40,15,16,1,50,19,90,1,4.29,False
+1071,Sales,Male,52,Developer,2016-01-28 08:03:05.556036,8,High School,2,6000.0,32,30,8,3,0,1,13,1,4.28,True
+1072,Legal,Female,54,Technician,2020-02-16 08:03:05.556036,4,Bachelor,2,4200.0,56,30,18,7,0,16,22,0,4.71,False
+1073,IT,Female,43,Analyst,2022-11-30 08:03:05.556036,1,Bachelor,1,4400.0,49,35,5,11,0,6,76,1,2.0,True
+1074,Sales,Female,42,Engineer,2016-04-24 08:03:05.556036,8,Master,2,7200.0,54,29,15,12,100,3,10,0,4.64,False
+1075,Legal,Male,51,Technician,2020-01-04 08:03:05.556036,4,High School,2,4200.0,45,35,8,4,75,10,99,1,2.6,False
+1076,Customer Support,Female,24,Developer,2018-11-23 08:03:05.556036,5,Master,3,6500.0,34,31,26,4,100,6,62,0,4.34,False
+1077,Legal,Female,26,Specialist,2019-09-13 08:03:05.556036,4,Master,3,5850.0,31,36,2,5,50,5,65,0,4.7,False
+1078,Finance,Female,52,Consultant,2019-09-19 08:03:05.556036,4,High School,4,7700.0,47,34,12,5,0,1,40,0,4.03,False
+1079,Engineering,Female,57,Analyst,2017-09-25 08:03:05.556036,6,Bachelor,3,5200.0,31,2,3,10,0,1,74,2,3.06,False
+1080,Customer Support,Other,45,Engineer,2022-09-20 08:03:05.556036,1,Bachelor,2,7200.0,54,0,28,9,50,19,38,1,3.23,True
+1081,Operations,Male,59,Analyst,2024-05-10 08:03:05.556036,0,Bachelor,4,5600.0,41,37,29,4,75,6,13,2,3.28,False
+1082,Finance,Male,59,Technician,2024-04-11 08:03:05.556036,0,High School,5,5250.0,60,42,14,4,100,3,20,1,4.62,False
+1083,Sales,Male,30,Consultant,2019-11-10 08:03:05.556036,4,High School,2,6600.0,44,46,2,2,0,12,70,0,4.0,False
+1084,Engineering,Other,34,Specialist,2020-05-20 08:03:05.556036,4,High School,1,4950.0,45,32,24,2,100,18,16,2,3.13,False
+1085,Finance,Male,56,Manager,2022-04-13 08:03:05.556036,2,Bachelor,2,7200.0,38,28,24,1,100,6,46,1,1.14,False
+1086,Marketing,Female,37,Manager,2016-10-14 08:03:05.556036,7,PhD,4,8400.0,30,5,23,3,50,12,41,0,3.87,True
+1087,Sales,Other,55,Technician,2017-03-10 08:03:05.556036,7,High School,2,4200.0,48,43,26,13,50,9,13,0,1.78,False
+1088,Marketing,Male,50,Technician,2020-09-17 08:03:05.556036,3,Bachelor,4,4900.0,42,22,21,0,75,15,22,0,1.09,False
+1089,HR,Female,51,Specialist,2015-07-31 08:03:05.556036,9,Bachelor,3,5850.0,55,32,17,1,0,13,10,1,3.56,False
+1090,IT,Male,26,Developer,2018-08-18 08:03:05.556036,6,Master,2,6000.0,49,2,21,14,0,5,91,2,3.52,False
+1091,Legal,Male,55,Specialist,2017-10-22 08:03:05.556036,6,Bachelor,5,6750.0,48,6,23,3,50,19,6,2,2.73,False
+1092,Sales,Male,46,Specialist,2016-06-25 08:03:05.556036,8,Bachelor,1,4950.0,32,17,9,0,100,9,93,1,4.16,False
+1093,Engineering,Female,50,Specialist,2023-10-14 08:03:05.556036,0,Master,4,6300.0,44,25,4,8,75,6,53,1,2.95,False
+1094,Engineering,Male,42,Specialist,2024-08-14 08:03:05.556036,0,High School,5,6750.0,30,10,29,3,75,15,2,0,3.53,True
+1095,Legal,Male,52,Technician,2024-08-10 08:03:05.556036,0,Bachelor,1,3850.0,57,18,10,5,25,2,21,2,2.01,False
+1096,Sales,Female,34,Technician,2016-12-06 08:03:05.556036,7,Bachelor,5,5250.0,57,21,12,14,100,1,53,0,3.54,False
+1097,Legal,Male,59,Consultant,2015-09-05 08:03:05.556036,9,Bachelor,5,8250.0,54,36,22,8,100,7,84,0,1.48,False
+1098,Engineering,Female,55,Consultant,2020-06-22 08:03:05.556036,4,High School,1,6050.0,39,6,18,1,75,18,14,1,3.42,False
+1099,Engineering,Female,23,Specialist,2015-10-31 08:03:05.556036,8,Bachelor,2,5400.0,36,37,29,5,100,9,91,1,2.54,False
+1100,Operations,Male,48,Specialist,2021-08-01 08:03:05.556036,3,Bachelor,3,5850.0,42,36,29,10,0,12,60,2,3.88,False
+1101,Engineering,Male,47,Manager,2022-10-19 08:03:05.556036,1,Bachelor,5,9000.0,34,6,3,5,0,8,26,1,4.29,False
+1102,Legal,Female,47,Engineer,2015-08-23 08:03:05.556036,9,Bachelor,3,7800.0,59,14,25,6,50,3,98,2,3.19,False
+1103,IT,Male,30,Specialist,2019-07-12 08:03:05.556036,5,Bachelor,4,6300.0,31,48,29,4,25,5,97,0,1.3,False
+1104,HR,Female,54,Analyst,2016-02-04 08:03:05.556036,8,PhD,2,4800.0,31,2,7,10,25,15,10,0,4.88,False
+1105,Marketing,Male,31,Engineer,2018-06-17 08:03:05.556036,6,High School,3,7800.0,35,37,11,0,25,1,52,2,1.14,False
+1106,IT,Female,60,Engineer,2015-11-28 08:03:05.556036,8,Bachelor,3,7800.0,50,9,21,5,50,8,59,1,4.73,True
+1107,Operations,Male,25,Developer,2016-02-22 08:03:05.556036,8,High School,2,6000.0,47,13,8,9,0,12,37,1,3.0,False
+1108,HR,Male,48,Manager,2022-12-22 08:03:05.556036,1,Bachelor,3,7800.0,34,9,4,11,100,6,79,2,4.06,False
+1109,HR,Female,53,Analyst,2018-12-28 08:03:05.556036,5,Master,4,5600.0,30,24,4,3,25,14,16,0,3.6,False
+1110,Sales,Male,27,Technician,2024-01-04 08:03:05.556036,0,PhD,3,4550.0,37,40,20,8,50,1,64,2,4.61,False
+1111,Sales,Male,28,Technician,2018-05-02 08:03:05.556036,6,Master,3,4550.0,38,42,23,14,25,11,20,2,1.29,False
+1112,Customer Support,Female,31,Consultant,2019-12-13 08:03:05.556036,4,Bachelor,2,6600.0,32,26,4,11,0,16,32,1,1.92,False
+1113,Customer Support,Female,45,Developer,2016-12-05 08:03:05.556036,7,Bachelor,3,6500.0,45,27,14,7,50,5,28,2,4.23,False
+1114,Engineering,Female,55,Engineer,2018-03-11 08:03:05.556036,6,High School,4,8400.0,39,7,25,4,0,13,43,0,4.72,False
+1115,Marketing,Male,26,Engineer,2017-03-27 08:03:05.556036,7,Bachelor,3,7800.0,59,47,5,12,100,19,96,0,2.83,False
+1116,Marketing,Male,55,Technician,2022-03-17 08:03:05.556036,2,Bachelor,1,3850.0,57,48,4,3,75,10,47,2,2.32,False
+1117,HR,Female,26,Consultant,2017-03-01 08:03:05.556036,7,Bachelor,2,6600.0,43,21,17,8,0,6,20,1,3.75,False
+1118,Finance,Female,49,Developer,2017-10-07 08:03:05.556036,6,Bachelor,4,7000.0,48,40,19,9,75,1,97,0,3.51,False
+1119,Marketing,Male,49,Consultant,2015-05-27 08:03:05.556036,9,High School,5,8250.0,47,21,17,14,100,9,24,2,1.18,False
+1120,Legal,Female,34,Specialist,2016-05-28 08:03:05.556036,8,Bachelor,5,6750.0,44,19,14,14,50,19,6,1,3.62,False
+1121,Legal,Female,54,Manager,2021-10-10 08:03:05.556036,2,Bachelor,2,7200.0,34,6,18,4,0,9,43,2,3.46,False
+1122,Operations,Female,51,Developer,2021-04-14 08:03:05.556036,3,High School,4,7000.0,58,25,26,2,75,2,35,0,2.49,False
+1123,Operations,Male,31,Specialist,2015-10-21 08:03:05.556036,8,Bachelor,2,5400.0,36,1,13,4,50,15,37,1,2.97,False
+1124,Finance,Female,39,Consultant,2015-05-23 08:03:05.556036,9,High School,2,6600.0,38,39,8,4,50,11,87,2,1.24,False
+1125,Legal,Female,29,Consultant,2023-08-01 08:03:05.556036,1,Bachelor,5,8250.0,44,6,29,7,100,5,21,0,3.48,False
+1126,Operations,Female,49,Analyst,2023-12-14 08:03:05.556036,0,PhD,2,4800.0,45,26,6,11,100,19,77,0,3.31,False
+1127,IT,Male,31,Manager,2015-08-12 08:03:05.556036,9,High School,1,6600.0,55,30,14,8,50,18,11,2,2.63,False
+1128,Engineering,Male,47,Technician,2021-04-19 08:03:05.556036,3,High School,4,4900.0,50,4,19,7,100,14,96,0,4.61,False
+1129,Legal,Female,22,Consultant,2021-06-22 08:03:05.556036,3,Bachelor,3,7150.0,38,0,8,9,100,16,85,2,4.28,False
+1130,Marketing,Female,32,Analyst,2023-01-24 08:03:05.556036,1,High School,1,4400.0,39,29,28,6,75,4,1,0,4.68,False
+1131,Customer Support,Female,59,Technician,2022-06-29 08:03:05.556036,2,High School,3,4550.0,35,17,5,3,75,18,16,1,4.34,False
+1132,Legal,Female,58,Engineer,2023-11-25 08:03:05.556036,0,Bachelor,2,7200.0,37,16,11,7,75,12,76,2,4.68,False
+1133,Finance,Female,55,Developer,2020-06-01 08:03:05.556036,4,High School,5,7500.0,53,45,16,14,0,4,55,1,4.5,False
+1134,Sales,Female,42,Developer,2019-03-05 08:03:05.556036,5,High School,3,6500.0,60,17,12,0,50,13,2,0,3.83,False
+1135,Finance,Other,43,Engineer,2023-12-19 08:03:05.556036,0,Bachelor,5,9000.0,40,13,5,7,0,7,24,1,1.3,False
+1136,IT,Male,22,Specialist,2021-01-02 08:03:05.556036,3,High School,4,6300.0,45,19,6,8,0,5,85,2,1.16,False
+1137,Finance,Female,35,Technician,2015-09-19 08:03:05.556036,8,High School,2,4200.0,43,32,22,6,50,19,90,1,1.3,False
+1138,Sales,Male,49,Specialist,2023-11-16 08:03:05.556036,0,Bachelor,5,6750.0,48,31,3,6,50,18,34,0,3.87,False
+1139,Engineering,Female,59,Technician,2021-04-11 08:03:05.556036,3,High School,1,3850.0,35,2,3,6,50,11,11,2,1.23,False
+1140,Sales,Male,47,Developer,2015-01-14 08:03:05.556036,9,Bachelor,2,6000.0,35,42,25,10,100,15,94,0,2.92,False
+1141,Operations,Other,41,Technician,2017-10-29 08:03:05.556036,6,High School,2,4200.0,53,20,9,7,0,7,77,2,2.47,False
+1142,Engineering,Male,29,Technician,2020-03-20 08:03:05.556036,4,Bachelor,1,3850.0,41,37,13,5,75,17,96,2,2.48,False
+1143,Marketing,Female,25,Analyst,2015-09-18 08:03:05.556036,8,Bachelor,2,4800.0,55,47,12,5,25,9,45,0,2.15,True
+1144,Customer Support,Male,43,Manager,2023-01-31 08:03:05.556036,1,High School,5,9000.0,48,40,17,13,25,7,67,0,2.44,False
+1145,Engineering,Female,33,Engineer,2017-11-08 08:03:05.556036,6,Bachelor,4,8400.0,51,33,23,13,25,16,42,2,2.83,False
+1146,Finance,Male,25,Developer,2018-09-21 08:03:05.556036,5,High School,1,5500.0,33,10,20,0,0,18,71,2,1.36,False
+1147,Finance,Female,58,Manager,2016-08-30 08:03:05.556036,8,Bachelor,5,9000.0,42,36,15,10,75,3,27,1,2.21,False
+1148,IT,Male,41,Developer,2017-01-20 08:03:05.556036,7,Bachelor,2,6000.0,48,13,14,7,0,9,9,1,1.67,False
+1149,Marketing,Male,38,Analyst,2020-01-25 08:03:05.556036,4,PhD,1,4400.0,32,18,26,4,75,5,63,1,3.87,False
+1150,Sales,Male,25,Technician,2023-05-11 08:03:05.556036,1,High School,2,4200.0,46,46,28,7,0,9,28,0,1.53,False
+1151,Marketing,Male,25,Analyst,2015-02-07 08:03:05.556036,9,Bachelor,2,4800.0,39,24,23,8,50,2,2,1,3.93,False
+1152,Engineering,Female,47,Specialist,2016-11-23 08:03:05.556036,7,High School,2,5400.0,46,8,7,12,100,15,52,1,2.13,True
+1153,Legal,Female,38,Technician,2021-04-05 08:03:05.556036,3,High School,1,3850.0,38,8,19,6,0,2,15,1,2.66,False
+1154,Sales,Female,39,Analyst,2023-01-03 08:03:05.556036,1,High School,2,4800.0,37,37,14,3,75,13,45,0,4.21,True
+1155,Engineering,Male,30,Manager,2021-11-03 08:03:05.556036,2,Master,4,8400.0,52,24,15,8,75,6,88,2,4.27,False
+1156,Engineering,Male,52,Consultant,2015-07-30 08:03:05.556036,9,Master,3,7150.0,40,49,17,13,75,13,75,1,2.58,False
+1157,Marketing,Male,56,Technician,2020-09-26 08:03:05.556036,3,High School,4,4900.0,47,14,3,9,100,7,88,2,2.23,False
+1158,IT,Male,47,Specialist,2015-11-09 08:03:05.556036,8,Master,2,5400.0,45,17,20,11,100,12,85,1,4.45,False
+1159,Legal,Male,24,Engineer,2015-01-20 08:03:05.556036,9,High School,4,8400.0,55,6,26,4,0,19,33,0,4.09,False
+1160,IT,Female,59,Analyst,2024-05-24 08:03:05.556036,0,High School,1,4400.0,44,46,2,8,100,7,73,1,4.11,False
+1161,IT,Female,30,Specialist,2022-07-12 08:03:05.556036,2,High School,1,4950.0,38,36,3,12,75,2,63,2,1.8,False
+1162,Finance,Male,56,Consultant,2016-02-17 08:03:05.556036,8,PhD,3,7150.0,58,15,23,1,75,11,77,0,2.14,False
+1163,Legal,Male,43,Engineer,2018-12-25 08:03:05.556036,5,Bachelor,4,8400.0,40,18,23,6,50,2,74,0,1.33,False
+1164,Operations,Male,51,Specialist,2021-12-07 08:03:05.556036,2,High School,5,6750.0,35,14,25,14,25,19,58,1,3.49,False
+1165,Finance,Female,50,Developer,2022-08-28 08:03:05.556036,2,Bachelor,5,7500.0,46,19,10,5,50,7,70,1,3.38,False
+1166,Sales,Female,54,Developer,2020-07-30 08:03:05.556036,4,High School,3,6500.0,31,12,7,1,100,11,3,2,3.4,False
+1167,Legal,Female,46,Developer,2014-10-12 08:03:05.556036,9,High School,2,6000.0,41,2,7,5,100,9,89,2,3.97,False
+1168,Operations,Female,23,Manager,2016-09-27 08:03:05.556036,7,Bachelor,5,9000.0,41,37,6,14,50,18,74,1,3.19,False
+1169,Sales,Male,25,Specialist,2017-11-22 08:03:05.556036,6,Bachelor,2,5400.0,58,38,4,7,100,11,98,2,2.63,False
+1170,Operations,Female,59,Specialist,2016-01-21 08:03:05.556036,8,Bachelor,3,5850.0,59,45,5,9,50,15,1,0,4.91,True
+1171,Operations,Male,50,Engineer,2024-02-15 08:03:05.556036,0,Master,3,7800.0,58,29,14,10,25,19,94,2,2.24,False
+1172,Operations,Male,31,Developer,2017-02-21 08:03:05.556036,7,Bachelor,4,7000.0,47,42,7,1,25,12,84,2,3.11,False
+1173,Marketing,Female,39,Technician,2017-04-18 08:03:05.556036,7,Bachelor,5,5250.0,60,36,9,6,100,11,44,1,1.99,True
+1174,IT,Other,40,Engineer,2014-10-25 08:03:05.556036,9,Bachelor,5,9000.0,31,42,10,13,50,15,69,1,4.08,False
+1175,Sales,Male,35,Specialist,2017-12-11 08:03:05.556036,6,PhD,4,6300.0,35,44,8,7,25,4,58,0,1.26,False
+1176,Operations,Female,25,Engineer,2023-03-02 08:03:05.556036,1,Master,4,8400.0,42,14,9,0,25,7,28,1,3.49,False
+1177,Engineering,Female,34,Technician,2020-11-09 08:03:05.556036,3,PhD,3,4550.0,39,29,12,11,25,3,38,0,4.2,False
+1178,Engineering,Female,43,Analyst,2022-03-31 08:03:05.556036,2,High School,2,4800.0,59,23,1,1,50,10,21,1,4.29,True
+1179,Finance,Female,58,Technician,2015-07-01 08:03:05.556036,9,Bachelor,5,5250.0,48,42,22,3,50,14,14,1,3.31,False
+1180,Legal,Male,59,Engineer,2017-02-16 08:03:05.556036,7,Bachelor,3,7800.0,37,36,4,1,100,5,7,1,3.8,False
+1181,Sales,Male,33,Technician,2016-03-11 08:03:05.556036,8,Bachelor,3,4550.0,57,44,8,4,75,11,76,2,4.88,False
+1182,Legal,Male,35,Analyst,2015-07-05 08:03:05.556036,9,High School,4,5600.0,54,40,11,2,50,9,58,2,1.57,False
+1183,HR,Male,54,Specialist,2015-04-07 08:03:05.556036,9,Bachelor,2,5400.0,39,9,10,0,0,1,91,1,4.0,False
+1184,Engineering,Male,32,Manager,2019-01-21 08:03:05.556036,5,High School,1,6600.0,35,8,1,5,50,17,90,1,3.55,False
+1185,Marketing,Female,46,Specialist,2022-06-08 08:03:05.556036,2,High School,2,5400.0,55,27,24,4,0,13,45,2,1.66,False
+1186,IT,Male,33,Manager,2020-05-30 08:03:05.556036,4,PhD,3,7800.0,40,39,7,5,100,7,74,2,4.21,False
+1187,IT,Female,23,Specialist,2018-01-07 08:03:05.556036,6,Bachelor,5,6750.0,59,6,2,5,100,12,15,2,3.64,False
+1188,Finance,Male,59,Developer,2023-12-23 08:03:05.556036,0,Bachelor,3,6500.0,58,28,4,7,0,6,6,0,3.72,False
+1189,Operations,Female,31,Developer,2022-04-28 08:03:05.556036,2,High School,2,6000.0,55,11,1,5,0,3,93,1,2.88,True
+1190,Marketing,Other,43,Engineer,2017-02-09 08:03:05.556036,7,Bachelor,5,9000.0,43,30,19,3,25,1,28,2,1.12,False
+1191,HR,Female,32,Developer,2024-01-08 08:03:05.556036,0,Bachelor,5,7500.0,53,45,2,13,75,15,73,2,1.16,False
+1192,Finance,Male,36,Developer,2016-10-05 08:03:05.556036,7,Bachelor,4,7000.0,52,25,7,10,75,10,19,0,2.23,False
+1193,HR,Male,36,Analyst,2019-12-26 08:03:05.556036,4,Master,5,6000.0,57,1,9,14,75,10,7,1,2.1,False
+1194,HR,Male,25,Developer,2021-03-31 08:03:05.556036,3,Master,4,7000.0,51,32,18,2,0,10,58,0,4.6,False
+1195,Customer Support,Female,52,Analyst,2022-12-27 08:03:05.556036,1,High School,4,5600.0,51,29,14,1,100,17,69,0,4.13,False
+1196,Marketing,Male,40,Consultant,2017-08-16 08:03:05.556036,7,High School,3,7150.0,43,41,13,14,0,12,98,1,3.3,False
+1197,Operations,Male,48,Engineer,2016-11-28 08:03:05.556036,7,Bachelor,2,7200.0,57,9,23,11,100,8,55,0,2.54,False
+1198,Customer Support,Male,54,Consultant,2016-04-04 08:03:05.556036,8,Bachelor,1,6050.0,37,22,27,6,100,11,6,2,3.65,False
+1199,HR,Male,43,Manager,2015-10-17 08:03:05.556036,8,High School,3,7800.0,36,3,29,13,75,9,37,0,3.39,False
+1200,HR,Male,30,Engineer,2016-04-04 08:03:05.556036,8,PhD,1,6600.0,60,16,20,10,0,10,66,2,3.37,False
+1201,Customer Support,Female,52,Consultant,2017-04-01 08:03:05.556036,7,Master,5,8250.0,36,15,14,11,50,18,15,2,1.26,False
+1202,Engineering,Female,32,Engineer,2023-02-25 08:03:05.556036,1,High School,4,8400.0,30,48,22,4,75,6,39,0,2.03,False
+1203,Sales,Male,45,Specialist,2021-06-02 08:03:05.556036,3,Bachelor,1,4950.0,32,37,0,7,0,17,13,0,3.77,False
+1204,Legal,Female,35,Manager,2017-11-01 08:03:05.556036,6,High School,2,7200.0,51,11,11,11,25,17,3,0,2.21,True
+1205,Sales,Male,56,Manager,2016-01-03 08:03:05.556036,8,Bachelor,2,7200.0,53,39,14,8,25,11,71,2,4.74,False
+1206,Operations,Male,29,Consultant,2023-06-02 08:03:05.556036,1,High School,5,8250.0,33,42,6,13,100,4,8,2,2.46,False
+1207,Marketing,Male,50,Analyst,2019-11-01 08:03:05.556036,4,High School,4,5600.0,54,2,28,8,100,4,55,1,1.79,False
+1208,Legal,Male,43,Manager,2021-05-07 08:03:05.556036,3,High School,5,9000.0,53,0,1,3,25,6,81,1,4.39,False
+1209,Marketing,Male,26,Analyst,2021-09-20 08:03:05.556036,2,High School,4,5600.0,42,22,22,11,50,13,35,0,1.34,False
+1210,Operations,Other,52,Engineer,2024-06-06 08:03:05.556036,0,Bachelor,4,8400.0,40,46,11,9,0,6,90,2,1.77,False
+1211,Customer Support,Female,44,Analyst,2021-05-31 08:03:05.556036,3,Bachelor,2,4800.0,46,39,18,0,0,2,24,1,3.44,False
+1212,Finance,Male,26,Technician,2023-06-01 08:03:05.556036,1,Bachelor,2,4200.0,36,6,11,9,75,6,66,2,3.95,False
+1213,Marketing,Male,58,Consultant,2020-02-24 08:03:05.556036,4,Bachelor,5,8250.0,58,6,12,7,25,13,34,0,2.54,False
+1214,HR,Female,57,Specialist,2018-06-26 08:03:05.556036,6,Bachelor,2,5400.0,47,16,26,13,0,4,44,1,4.02,False
+1215,IT,Male,22,Consultant,2016-08-02 08:03:05.556036,8,Bachelor,1,6050.0,48,7,22,14,75,1,76,0,1.34,False
+1216,HR,Female,34,Engineer,2018-04-09 08:03:05.556036,6,PhD,4,8400.0,44,3,1,11,50,13,77,2,2.62,False
+1217,Legal,Other,57,Manager,2017-03-13 08:03:05.556036,7,Bachelor,1,6600.0,46,45,22,5,100,6,37,1,3.24,False
+1218,Marketing,Female,55,Technician,2018-11-03 08:03:05.556036,5,Bachelor,3,4550.0,38,27,17,13,100,16,80,2,4.6,False
+1219,Finance,Male,57,Technician,2016-02-27 08:03:05.556036,8,Bachelor,4,4900.0,51,49,16,4,0,15,20,2,4.37,False
+1220,Engineering,Female,34,Engineer,2017-02-03 08:03:05.556036,7,Master,2,7200.0,39,12,13,0,25,11,55,2,4.09,False
+1221,Legal,Female,49,Specialist,2020-05-22 08:03:05.556036,4,Bachelor,2,5400.0,58,6,13,0,75,18,77,1,1.96,False
+1222,Operations,Female,46,Technician,2016-06-12 08:03:05.556036,8,Bachelor,3,4550.0,58,33,12,5,100,10,4,0,4.66,False
+1223,Finance,Other,59,Technician,2024-02-22 08:03:05.556036,0,High School,5,5250.0,56,12,10,6,100,4,37,2,3.57,False
+1224,Marketing,Female,29,Specialist,2015-11-25 08:03:05.556036,8,Bachelor,2,5400.0,58,36,4,8,75,4,54,1,4.99,False
+1225,Sales,Male,39,Consultant,2021-03-22 08:03:05.556036,3,High School,3,7150.0,48,15,13,5,0,16,17,2,4.09,False
+1226,IT,Male,36,Developer,2017-03-14 08:03:05.556036,7,PhD,1,5500.0,52,45,12,5,75,6,78,2,2.5,False
+1227,Marketing,Female,35,Consultant,2018-11-15 08:03:05.556036,5,High School,3,7150.0,59,47,27,2,100,8,58,1,2.6,False
+1228,Legal,Male,32,Developer,2021-06-05 08:03:05.556036,3,Master,2,6000.0,44,38,15,5,75,13,60,0,2.03,False
+1229,HR,Female,44,Engineer,2017-05-12 08:03:05.556036,7,High School,2,7200.0,30,22,4,7,100,6,53,0,1.7,True
+1230,Customer Support,Male,38,Consultant,2019-06-15 08:03:05.556036,5,Bachelor,5,8250.0,56,9,28,14,75,16,6,1,1.86,False
+1231,Operations,Male,22,Consultant,2023-06-30 08:03:05.556036,1,Bachelor,1,6050.0,49,7,0,5,0,17,53,1,3.02,False
+1232,Engineering,Female,44,Technician,2022-02-25 08:03:05.556036,2,Bachelor,2,4200.0,42,37,18,4,100,6,94,0,2.99,False
+1233,Marketing,Female,35,Analyst,2018-05-16 08:03:05.556036,6,Bachelor,5,6000.0,56,47,7,1,75,4,67,1,4.55,True
+1234,Marketing,Male,30,Developer,2015-04-12 08:03:05.556036,9,High School,4,7000.0,46,33,23,4,0,15,64,2,4.99,True
+1235,Operations,Male,43,Technician,2022-04-22 08:03:05.556036,2,Bachelor,2,4200.0,43,40,4,4,25,19,34,1,3.51,False
+1236,HR,Female,25,Consultant,2023-01-31 08:03:05.556036,1,Bachelor,4,7700.0,38,46,10,5,75,6,50,2,2.35,False
+1237,Engineering,Male,41,Analyst,2024-06-02 08:03:05.556036,0,Bachelor,3,5200.0,32,4,12,9,25,14,77,2,2.01,False
+1238,Engineering,Female,38,Consultant,2021-07-20 08:03:05.556036,3,High School,5,8250.0,48,39,26,12,0,18,54,2,1.7,False
+1239,Legal,Female,59,Developer,2014-10-27 08:03:05.556036,9,High School,5,7500.0,53,19,1,5,0,14,26,2,1.51,False
+1240,Marketing,Male,32,Manager,2022-03-04 08:03:05.556036,2,Bachelor,1,6600.0,38,4,20,14,25,7,77,0,3.52,True
+1241,Customer Support,Male,30,Specialist,2021-10-10 08:03:05.556036,2,Bachelor,4,6300.0,55,1,19,9,50,4,4,2,1.78,False
+1242,Customer Support,Female,24,Engineer,2022-03-13 08:03:05.556036,2,Master,2,7200.0,39,12,25,0,50,14,14,1,1.44,False
+1243,HR,Male,31,Specialist,2022-01-20 08:03:05.556036,2,Bachelor,4,6300.0,39,33,10,1,100,19,0,0,3.85,False
+1244,Sales,Other,51,Technician,2016-01-06 08:03:05.556036,8,Bachelor,5,5250.0,38,35,18,13,100,5,83,1,3.2,False
+1245,Operations,Female,35,Engineer,2022-10-12 08:03:05.556036,1,High School,5,9000.0,30,11,23,11,100,7,64,1,1.01,False
+1246,HR,Female,34,Specialist,2016-05-12 08:03:05.556036,8,Bachelor,2,5400.0,52,8,21,7,75,16,90,0,3.18,False
+1247,Customer Support,Male,27,Analyst,2024-05-23 08:03:05.556036,0,Bachelor,1,4400.0,53,7,21,9,100,13,76,1,4.91,False
+1248,Legal,Male,49,Manager,2014-10-05 08:03:05.556036,9,Master,3,7800.0,49,45,12,2,0,8,61,0,3.51,False
+1249,Engineering,Female,55,Developer,2022-04-23 08:03:05.556036,2,Bachelor,4,7000.0,39,30,23,1,50,15,65,2,1.12,False
+1250,Finance,Female,24,Manager,2016-01-11 08:03:05.556036,8,Master,2,7200.0,54,24,11,0,50,12,26,1,3.32,False
+1251,Marketing,Male,57,Engineer,2020-07-22 08:03:05.556036,4,Bachelor,3,7800.0,39,7,27,6,100,8,34,2,2.67,False
+1252,Legal,Male,25,Technician,2018-05-10 08:03:05.556036,6,Master,2,4200.0,42,35,5,1,100,18,91,0,3.86,False
+1253,Legal,Male,59,Specialist,2021-07-29 08:03:05.556036,3,Bachelor,3,5850.0,45,28,12,12,75,15,72,2,1.15,False
+1254,Operations,Female,34,Developer,2015-07-15 08:03:05.556036,9,Bachelor,1,5500.0,43,35,12,2,0,14,68,2,1.76,False
+1255,Legal,Male,53,Analyst,2015-05-15 08:03:05.556036,9,Master,1,4400.0,40,7,5,8,50,13,33,1,3.03,False
+1256,Engineering,Male,24,Technician,2015-03-08 08:03:05.556036,9,High School,2,4200.0,33,11,22,12,0,6,31,1,1.26,False
+1257,Legal,Female,41,Specialist,2018-01-23 08:03:05.556036,6,Bachelor,4,6300.0,36,19,29,4,50,11,61,1,1.38,False
+1258,Finance,Male,28,Developer,2019-08-15 08:03:05.556036,5,Bachelor,3,6500.0,52,40,14,7,0,19,66,2,3.24,False
+1259,Engineering,Female,48,Manager,2024-04-11 08:03:05.556036,0,Bachelor,3,7800.0,59,5,20,1,50,14,56,0,4.68,False
+1260,Legal,Male,43,Developer,2017-12-16 08:03:05.556036,6,High School,5,7500.0,49,43,14,6,100,14,69,2,3.84,False
+1261,Sales,Female,51,Developer,2023-12-02 08:03:05.556036,0,Bachelor,1,5500.0,44,4,20,12,100,13,37,2,2.45,False
+1262,Customer Support,Male,46,Manager,2019-02-16 08:03:05.556036,5,High School,4,8400.0,46,32,11,5,50,1,57,0,2.49,False
+1263,Marketing,Male,24,Developer,2017-01-17 08:03:05.556036,7,Bachelor,3,6500.0,41,6,20,3,50,10,52,0,2.6,False
+1264,Engineering,Male,31,Consultant,2017-08-20 08:03:05.556036,7,Master,4,7700.0,53,41,22,9,25,16,51,0,1.75,False
+1265,Marketing,Male,47,Consultant,2017-09-24 08:03:05.556036,6,High School,5,8250.0,53,30,0,7,50,5,90,2,2.14,False
+1266,Marketing,Male,48,Technician,2022-03-24 08:03:05.556036,2,Master,1,3850.0,53,13,19,1,75,10,16,0,1.85,False
+1267,Marketing,Male,50,Consultant,2020-03-10 08:03:05.556036,4,Master,4,7700.0,41,17,26,10,100,6,87,1,2.48,False
+1268,Finance,Female,51,Developer,2015-12-26 08:03:05.556036,8,High School,2,6000.0,44,9,27,9,75,7,45,1,3.38,False
+1269,HR,Female,38,Developer,2016-08-07 08:03:05.556036,8,Bachelor,3,6500.0,31,46,19,13,75,4,29,0,2.18,False
+1270,HR,Female,43,Analyst,2017-01-25 08:03:05.556036,7,Master,1,4400.0,45,16,26,3,100,19,61,2,1.84,False
+1271,Operations,Female,58,Consultant,2018-05-20 08:03:05.556036,6,Bachelor,4,7700.0,34,18,2,13,75,16,62,2,2.58,False
+1272,Sales,Female,39,Specialist,2016-04-06 08:03:05.556036,8,High School,4,6300.0,35,20,21,2,75,5,95,2,1.34,False
+1273,Customer Support,Other,34,Specialist,2018-07-01 08:03:05.556036,6,PhD,5,6750.0,42,34,14,8,100,13,27,0,2.44,False
+1274,Operations,Female,54,Manager,2022-12-08 08:03:05.556036,1,High School,2,7200.0,43,36,27,4,25,5,79,0,3.7,False
+1275,Sales,Male,42,Specialist,2017-03-05 08:03:05.556036,7,Bachelor,2,5400.0,37,34,0,9,100,8,57,2,1.69,False
+1276,Sales,Male,56,Engineer,2020-06-08 08:03:05.556036,4,High School,4,8400.0,49,32,12,8,0,14,59,1,4.77,False
+1277,Customer Support,Other,26,Consultant,2018-10-14 08:03:05.556036,5,Bachelor,2,6600.0,50,32,21,4,50,4,34,2,3.46,False
+1278,IT,Male,31,Engineer,2024-04-01 08:03:05.556036,0,High School,3,7800.0,52,41,28,4,25,1,16,2,1.64,False
+1279,HR,Female,46,Manager,2019-04-15 08:03:05.556036,5,Bachelor,1,6600.0,37,39,20,0,25,15,7,2,3.75,False
+1280,Operations,Male,43,Engineer,2016-12-15 08:03:05.556036,7,Master,4,8400.0,47,16,18,8,25,4,4,1,4.46,False
+1281,Finance,Male,37,Manager,2017-06-12 08:03:05.556036,7,Master,5,9000.0,40,46,2,6,50,11,92,2,1.37,False
+1282,Customer Support,Male,31,Engineer,2017-09-08 08:03:05.556036,6,High School,1,6600.0,45,13,4,6,25,18,2,0,2.4,False
+1283,HR,Male,29,Consultant,2015-05-08 08:03:05.556036,9,High School,3,7150.0,40,37,27,13,0,18,28,1,1.75,False
+1284,Customer Support,Female,23,Developer,2020-11-01 08:03:05.556036,3,Bachelor,3,6500.0,40,9,2,14,100,13,17,0,1.95,False
+1285,Customer Support,Male,60,Engineer,2019-08-26 08:03:05.556036,5,Bachelor,1,6600.0,56,14,8,9,50,13,49,0,4.04,False
+1286,Sales,Male,29,Specialist,2023-12-15 08:03:05.556036,0,Bachelor,3,5850.0,49,7,28,7,75,4,38,1,3.59,False
+1287,Sales,Female,30,Technician,2015-03-07 08:03:05.556036,9,High School,3,4550.0,51,15,26,12,25,2,30,0,1.6,True
+1288,Operations,Male,41,Manager,2022-10-28 08:03:05.556036,1,Master,2,7200.0,35,37,20,8,25,13,2,0,1.89,False
+1289,IT,Female,23,Manager,2017-11-12 08:03:05.556036,6,Bachelor,5,9000.0,55,15,20,4,100,4,69,2,1.88,False
+1290,HR,Female,41,Analyst,2021-02-27 08:03:05.556036,3,High School,4,5600.0,48,36,29,3,0,14,40,1,1.37,False
+1291,HR,Male,26,Engineer,2017-09-16 08:03:05.556036,6,Bachelor,1,6600.0,47,31,22,5,25,11,56,2,3.31,False
+1292,Marketing,Male,48,Analyst,2016-10-06 08:03:05.556036,7,High School,3,5200.0,47,42,3,6,100,17,36,2,2.31,True
+1293,Engineering,Other,24,Consultant,2017-07-04 08:03:05.556036,7,Bachelor,3,7150.0,44,27,9,2,100,4,42,1,2.9,False
+1294,Finance,Male,44,Engineer,2023-06-06 08:03:05.556036,1,High School,3,7800.0,31,49,13,1,100,7,63,2,4.2,True
+1295,Engineering,Male,45,Engineer,2023-08-19 08:03:05.556036,1,Master,1,6600.0,41,7,25,0,100,5,89,1,3.44,False
+1296,HR,Female,55,Engineer,2019-12-01 08:03:05.556036,4,High School,2,7200.0,46,38,2,2,100,10,2,2,3.75,True
+1297,IT,Male,34,Consultant,2019-05-29 08:03:05.556036,5,High School,4,7700.0,47,5,20,10,50,13,6,0,3.82,False
+1298,Engineering,Female,44,Consultant,2018-08-07 08:03:05.556036,6,Bachelor,4,7700.0,54,33,20,14,50,15,11,2,2.02,False
+1299,Sales,Male,48,Consultant,2022-03-08 08:03:05.556036,2,Bachelor,4,7700.0,38,47,13,14,25,19,30,1,2.09,False
+1300,HR,Other,33,Technician,2017-12-01 08:03:05.556036,6,Bachelor,1,3850.0,45,38,21,11,100,13,82,1,4.0,False
+1301,HR,Female,33,Developer,2016-07-04 08:03:05.556036,8,Bachelor,4,7000.0,40,42,22,0,100,18,93,1,2.83,False
+1302,Legal,Male,58,Developer,2020-09-04 08:03:05.556036,4,High School,5,7500.0,40,4,21,10,0,12,30,2,3.6,False
+1303,Operations,Male,33,Engineer,2018-10-29 08:03:05.556036,5,Bachelor,2,7200.0,58,3,12,6,0,5,65,0,1.25,False
+1304,IT,Female,32,Specialist,2015-04-01 08:03:05.556036,9,Bachelor,4,6300.0,31,49,12,6,0,5,56,1,4.59,False
+1305,Legal,Male,34,Consultant,2017-09-18 08:03:05.556036,6,High School,5,8250.0,53,25,11,1,0,15,27,0,1.22,False
+1306,Finance,Male,43,Analyst,2023-09-06 08:03:05.556036,0,High School,2,4800.0,33,36,18,8,75,19,65,2,4.74,False
+1307,Sales,Female,31,Manager,2022-04-17 08:03:05.556036,2,Bachelor,1,6600.0,34,36,24,6,50,15,97,2,3.05,False
+1308,HR,Male,35,Technician,2023-01-02 08:03:05.556036,1,Bachelor,4,4900.0,47,11,27,10,25,16,38,0,2.05,False
+1309,IT,Female,29,Specialist,2024-01-12 08:03:05.556036,0,Master,5,6750.0,34,5,24,7,25,1,50,0,4.01,False
+1310,Finance,Female,23,Manager,2023-05-30 08:03:05.556036,1,Bachelor,4,8400.0,40,33,21,7,0,9,19,1,3.16,False
+1311,Finance,Female,59,Specialist,2020-10-10 08:03:05.556036,3,PhD,4,6300.0,43,37,6,9,75,9,66,0,3.98,False
+1312,IT,Male,39,Consultant,2017-02-16 08:03:05.556036,7,Bachelor,2,6600.0,30,20,15,5,50,15,86,1,2.04,False
+1313,Customer Support,Male,47,Specialist,2023-10-31 08:03:05.556036,0,PhD,3,5850.0,33,22,5,13,25,15,37,1,3.92,False
+1314,IT,Male,41,Manager,2018-04-29 08:03:05.556036,6,Bachelor,5,9000.0,42,0,15,7,25,12,42,2,1.95,False
+1315,IT,Female,42,Analyst,2020-08-05 08:03:05.556036,4,Master,2,4800.0,51,15,15,10,100,3,61,2,4.93,False
+1316,Engineering,Female,22,Technician,2021-04-26 08:03:05.556036,3,High School,2,4200.0,45,23,4,11,0,3,4,1,3.33,True
+1317,Finance,Female,27,Specialist,2021-08-05 08:03:05.556036,3,Bachelor,5,6750.0,36,21,19,12,75,14,54,0,1.54,False
+1318,Finance,Male,58,Developer,2021-05-12 08:03:05.556036,3,Bachelor,2,6000.0,55,12,21,10,75,16,38,1,2.07,False
+1319,Customer Support,Other,24,Developer,2022-08-01 08:03:05.556036,2,Master,2,6000.0,53,19,4,2,75,7,76,1,1.68,False
+1320,HR,Female,34,Specialist,2018-08-04 08:03:05.556036,6,High School,2,5400.0,31,15,5,13,50,3,12,1,3.19,False
+1321,IT,Male,39,Engineer,2017-10-23 08:03:05.556036,6,Master,3,7800.0,53,34,21,9,0,5,25,2,2.5,False
+1322,Customer Support,Female,29,Developer,2019-04-04 08:03:05.556036,5,High School,1,5500.0,46,29,2,1,0,1,8,2,1.11,False
+1323,HR,Male,42,Consultant,2015-11-11 08:03:05.556036,8,High School,5,8250.0,56,39,22,9,0,5,6,0,4.53,False
+1324,IT,Male,46,Engineer,2022-05-28 08:03:05.556036,2,Bachelor,2,7200.0,49,29,26,10,0,16,48,1,4.62,False
+1325,Sales,Male,28,Analyst,2024-06-08 08:03:05.556036,0,High School,5,6000.0,47,35,26,12,0,7,13,1,2.06,False
+1326,Legal,Female,37,Developer,2021-06-23 08:03:05.556036,3,Master,2,6000.0,56,27,2,5,50,3,27,0,2.61,False
+1327,Sales,Male,54,Consultant,2016-02-15 08:03:05.556036,8,Bachelor,1,6050.0,41,1,2,12,100,8,2,0,1.02,False
+1328,Legal,Male,58,Specialist,2022-12-10 08:03:05.556036,1,Bachelor,1,4950.0,47,43,21,13,50,3,81,2,1.38,True
+1329,Sales,Female,35,Technician,2020-05-14 08:03:05.556036,4,High School,2,4200.0,33,12,12,7,25,7,92,2,3.01,False
+1330,Operations,Male,39,Consultant,2018-03-27 08:03:05.556036,6,High School,1,6050.0,32,48,1,3,0,11,78,2,1.95,False
+1331,Legal,Female,52,Consultant,2020-05-10 08:03:05.556036,4,Bachelor,5,8250.0,36,12,7,11,100,18,39,0,1.78,False
+1332,Finance,Male,45,Engineer,2015-06-06 08:03:05.556036,9,Bachelor,1,6600.0,39,29,29,14,0,9,49,1,3.18,False
+1333,HR,Male,32,Analyst,2015-09-11 08:03:05.556036,8,High School,2,4800.0,39,3,4,7,75,19,76,2,3.75,False
+1334,IT,Female,44,Consultant,2021-08-14 08:03:05.556036,3,Master,5,8250.0,48,7,0,13,0,12,75,2,4.53,False
+1335,Marketing,Male,25,Developer,2015-12-14 08:03:05.556036,8,Bachelor,5,7500.0,49,16,20,1,50,12,61,2,1.98,False
+1336,Marketing,Female,56,Manager,2020-10-04 08:03:05.556036,3,High School,4,8400.0,49,21,22,8,100,4,40,0,1.13,False
+1337,Operations,Male,31,Analyst,2018-03-24 08:03:05.556036,6,High School,3,5200.0,42,11,26,12,50,16,14,1,1.43,False
+1338,IT,Male,56,Specialist,2020-11-21 08:03:05.556036,3,Master,5,6750.0,58,20,15,3,0,10,76,0,4.5,False
+1339,Marketing,Other,42,Specialist,2017-07-05 08:03:05.556036,7,Master,1,4950.0,41,28,18,9,0,12,14,0,2.22,False
+1340,Finance,Male,46,Specialist,2019-02-07 08:03:05.556036,5,High School,4,6300.0,49,30,5,14,50,3,1,0,3.8,False
+1341,Finance,Female,46,Consultant,2019-07-19 08:03:05.556036,5,Bachelor,5,8250.0,30,0,13,10,0,1,75,2,3.01,False
+1342,HR,Male,29,Manager,2023-09-21 08:03:05.556036,0,Bachelor,3,7800.0,55,15,29,11,50,11,37,2,1.27,False
+1343,Engineering,Male,45,Consultant,2021-11-04 08:03:05.556036,2,Bachelor,3,7150.0,34,15,25,0,50,15,29,2,4.06,False
+1344,IT,Female,49,Consultant,2018-09-29 08:03:05.556036,5,Bachelor,1,6050.0,60,47,23,11,0,13,21,0,2.01,False
+1345,Sales,Male,28,Engineer,2017-11-24 08:03:05.556036,6,Bachelor,1,6600.0,60,21,15,9,100,3,80,2,3.44,True
+1346,Legal,Female,53,Manager,2017-11-16 08:03:05.556036,6,Master,3,7800.0,43,1,18,13,100,18,91,1,3.27,False
+1347,Customer Support,Male,28,Manager,2023-05-17 08:03:05.556036,1,Bachelor,4,8400.0,37,2,8,6,75,10,23,0,1.58,False
+1348,Marketing,Male,28,Engineer,2015-12-31 08:03:05.556036,8,Master,1,6600.0,59,12,28,9,25,18,88,1,4.16,False
+1349,Marketing,Female,57,Consultant,2019-11-18 08:03:05.556036,4,Bachelor,5,8250.0,57,4,27,2,0,9,36,0,2.22,False
+1350,Engineering,Female,52,Analyst,2022-12-04 08:03:05.556036,1,Bachelor,2,4800.0,35,31,22,12,0,13,31,0,2.15,False
+1351,Finance,Female,54,Developer,2018-03-12 08:03:05.556036,6,High School,4,7000.0,40,43,10,13,100,4,3,2,2.63,True
+1352,Operations,Female,39,Specialist,2023-09-26 08:03:05.556036,0,Bachelor,3,5850.0,35,38,2,12,25,10,91,0,1.91,False
+1353,Marketing,Male,60,Engineer,2015-09-10 08:03:05.556036,8,Bachelor,2,7200.0,51,49,21,3,25,3,55,2,3.86,False
+1354,Sales,Female,36,Technician,2020-06-10 08:03:05.556036,4,High School,3,4550.0,32,44,12,4,0,3,65,1,3.27,False
+1355,Engineering,Male,38,Engineer,2024-06-05 08:03:05.556036,0,High School,1,6600.0,32,26,28,10,75,13,35,0,1.56,False
+1356,Legal,Male,56,Engineer,2020-12-29 08:03:05.556036,3,Bachelor,5,9000.0,34,3,0,1,25,2,52,0,1.36,False
+1357,Marketing,Female,35,Engineer,2021-03-09 08:03:05.556036,3,High School,4,8400.0,44,44,9,11,25,19,96,0,1.11,False
+1358,Customer Support,Female,31,Manager,2018-05-10 08:03:05.556036,6,Bachelor,4,8400.0,32,30,2,3,25,19,7,1,2.46,False
+1359,Sales,Female,58,Manager,2019-06-03 08:03:05.556036,5,Bachelor,5,9000.0,47,28,14,12,75,2,20,1,3.6,False
+1360,Marketing,Male,60,Technician,2015-06-09 08:03:05.556036,9,High School,2,4200.0,32,5,6,3,25,14,88,0,3.82,False
+1361,Marketing,Female,52,Analyst,2017-01-28 08:03:05.556036,7,High School,3,5200.0,45,3,9,4,50,17,42,1,3.31,False
+1362,Legal,Female,45,Technician,2023-09-24 08:03:05.556036,0,High School,5,5250.0,42,16,27,6,25,12,60,2,1.64,False
+1363,Sales,Male,37,Engineer,2020-02-26 08:03:05.556036,4,Bachelor,4,8400.0,42,23,4,2,100,19,21,2,4.99,False
+1364,HR,Female,50,Developer,2022-09-23 08:03:05.556036,1,High School,2,6000.0,59,9,0,13,25,7,29,1,3.76,False
+1365,Sales,Female,41,Manager,2022-06-29 08:03:05.556036,2,Bachelor,1,6600.0,59,9,21,14,75,4,28,2,2.52,False
+1366,Finance,Male,28,Analyst,2017-04-04 08:03:05.556036,7,High School,4,5600.0,52,6,18,2,50,12,19,2,1.73,False
+1367,Customer Support,Male,40,Manager,2018-03-25 08:03:05.556036,6,Master,1,6600.0,35,18,23,3,0,16,48,0,3.61,False
+1368,Sales,Female,46,Consultant,2022-06-18 08:03:05.556036,2,High School,2,6600.0,43,24,12,9,100,8,48,0,4.01,False
+1369,Engineering,Female,37,Engineer,2019-09-12 08:03:05.556036,4,Bachelor,4,8400.0,58,34,22,5,25,9,66,1,3.5,False
+1370,Marketing,Female,27,Manager,2021-07-31 08:03:05.556036,3,High School,4,8400.0,31,12,7,1,75,12,18,2,1.52,False
+1371,IT,Male,25,Specialist,2020-11-27 08:03:05.556036,3,Bachelor,2,5400.0,36,16,12,0,50,18,66,1,4.56,True
+1372,Sales,Female,42,Specialist,2023-11-01 08:03:05.556036,0,Bachelor,4,6300.0,54,38,14,1,75,4,97,0,2.21,True
+1373,Customer Support,Female,56,Specialist,2020-03-23 08:03:05.556036,4,High School,2,5400.0,50,31,14,8,75,2,77,0,1.13,False
+1374,HR,Female,29,Manager,2016-12-02 08:03:05.556036,7,High School,3,7800.0,60,48,14,6,50,16,21,1,2.19,False
+1375,Legal,Female,53,Developer,2017-10-30 08:03:05.556036,6,High School,3,6500.0,44,22,6,11,50,13,18,0,3.19,False
+1376,HR,Female,37,Specialist,2016-08-04 08:03:05.556036,8,High School,3,5850.0,47,15,7,10,0,8,11,0,3.37,False
+1377,Engineering,Female,45,Technician,2018-12-11 08:03:05.556036,5,Bachelor,2,4200.0,44,15,26,12,25,9,95,1,1.51,False
+1378,Sales,Female,45,Engineer,2022-06-05 08:03:05.556036,2,Master,2,7200.0,48,15,16,3,50,17,9,2,2.39,False
+1379,Operations,Male,30,Manager,2016-07-22 08:03:05.556036,8,Bachelor,3,7800.0,50,33,14,8,50,6,62,0,3.75,False
+1380,Sales,Male,45,Developer,2021-08-02 08:03:05.556036,3,Bachelor,1,5500.0,32,47,11,2,100,8,5,2,3.98,False
+1381,Legal,Male,38,Technician,2023-02-19 08:03:05.556036,1,Master,4,4900.0,31,7,28,0,50,5,35,0,3.13,False
+1382,Engineering,Female,44,Specialist,2016-05-17 08:03:05.556036,8,Bachelor,5,6750.0,41,10,2,8,75,6,19,0,1.51,True
+1383,Finance,Male,22,Specialist,2020-01-13 08:03:05.556036,4,Bachelor,2,5400.0,51,3,16,0,25,4,4,0,1.92,False
+1384,Customer Support,Female,49,Analyst,2022-01-08 08:03:05.556036,2,High School,5,6000.0,46,49,17,7,0,13,40,2,4.3,False
+1385,Customer Support,Female,44,Developer,2023-04-03 08:03:05.556036,1,Bachelor,5,7500.0,36,8,10,1,25,19,65,1,4.58,False
+1386,Sales,Male,24,Specialist,2021-04-17 08:03:05.556036,3,Bachelor,3,5850.0,54,14,14,9,75,14,70,2,3.44,False
+1387,Legal,Male,28,Manager,2019-09-07 08:03:05.556036,4,Bachelor,5,9000.0,38,35,4,0,50,10,68,1,2.14,False
+1388,Legal,Female,53,Analyst,2017-06-02 08:03:05.556036,7,Bachelor,3,5200.0,30,44,4,13,0,11,74,1,3.12,False
+1389,IT,Female,50,Specialist,2022-10-01 08:03:05.556036,1,High School,1,4950.0,49,22,11,10,75,14,45,1,1.83,True
+1390,Marketing,Female,54,Consultant,2017-09-22 08:03:05.556036,6,High School,2,6600.0,59,22,8,7,0,14,14,2,1.8,False
+1391,IT,Male,23,Specialist,2018-02-08 08:03:05.556036,6,Bachelor,5,6750.0,40,37,21,9,75,2,30,2,3.54,False
+1392,Customer Support,Male,27,Developer,2023-05-14 08:03:05.556036,1,High School,5,7500.0,54,33,13,8,100,8,59,2,4.54,False
+1393,Operations,Female,33,Technician,2022-12-30 08:03:05.556036,1,Bachelor,1,3850.0,56,8,10,0,75,8,12,2,3.85,False
+1394,Marketing,Male,57,Technician,2021-02-11 08:03:05.556036,3,High School,1,3850.0,49,38,28,9,100,3,77,2,2.62,False
+1395,Sales,Male,37,Specialist,2015-05-13 08:03:05.556036,9,Master,5,6750.0,42,36,0,7,100,1,4,1,2.87,False
+1396,Customer Support,Male,28,Engineer,2017-07-02 08:03:05.556036,7,Bachelor,5,9000.0,32,33,9,2,25,11,19,1,4.28,False
+1397,Customer Support,Male,43,Consultant,2020-09-27 08:03:05.556036,3,High School,4,7700.0,35,32,18,13,100,14,48,1,2.16,True
+1398,Marketing,Male,23,Engineer,2024-04-15 08:03:05.556036,0,Bachelor,1,6600.0,31,44,2,9,100,17,58,1,4.66,False
+1399,Operations,Female,52,Technician,2015-09-30 08:03:05.556036,8,Bachelor,1,3850.0,57,8,27,3,100,19,26,1,4.76,False
+1400,Customer Support,Male,53,Developer,2018-03-27 08:03:05.556036,6,Bachelor,2,6000.0,39,28,11,1,75,2,79,1,2.53,False
+1401,Finance,Male,39,Technician,2015-01-16 08:03:05.556036,9,Bachelor,5,5250.0,31,30,20,8,25,19,61,0,4.09,True
+1402,Marketing,Female,48,Engineer,2018-04-02 08:03:05.556036,6,High School,4,8400.0,38,41,8,8,25,15,39,2,2.01,True
+1403,Legal,Male,27,Manager,2024-02-17 08:03:05.556036,0,Master,1,6600.0,60,41,22,4,100,15,6,1,4.48,True
+1404,Finance,Male,47,Specialist,2016-09-23 08:03:05.556036,7,Bachelor,3,5850.0,30,2,20,0,50,18,29,2,4.81,False
+1405,Sales,Male,41,Technician,2018-10-09 08:03:05.556036,5,High School,5,5250.0,38,7,7,10,25,12,60,0,3.37,False
+1406,IT,Female,46,Consultant,2021-05-27 08:03:05.556036,3,Bachelor,5,8250.0,51,4,6,0,50,14,98,0,2.8,False
+1407,Legal,Female,43,Manager,2020-04-12 08:03:05.556036,4,High School,3,7800.0,46,20,29,14,100,13,14,1,4.53,False
+1408,Finance,Male,26,Analyst,2022-01-24 08:03:05.556036,2,Bachelor,2,4800.0,57,10,8,3,100,4,42,0,1.59,False
+1409,Legal,Male,31,Engineer,2018-12-24 08:03:05.556036,5,Master,3,7800.0,36,17,28,8,50,3,72,1,2.54,True
+1410,Finance,Other,26,Manager,2020-11-01 08:03:05.556036,3,Master,2,7200.0,36,0,15,7,100,11,91,2,3.58,False
+1411,Sales,Male,44,Developer,2021-12-06 08:03:05.556036,2,High School,5,7500.0,46,25,9,1,100,9,46,0,3.83,False
+1412,Legal,Female,42,Consultant,2024-04-20 08:03:05.556036,0,High School,3,7150.0,37,16,9,11,100,17,70,1,2.95,False
+1413,Sales,Other,53,Developer,2018-07-18 08:03:05.556036,6,PhD,3,6500.0,34,42,13,8,25,2,8,1,2.05,False
+1414,Legal,Other,47,Engineer,2021-02-09 08:03:05.556036,3,Bachelor,4,8400.0,32,49,23,3,50,6,34,2,2.32,False
+1415,Operations,Male,48,Developer,2024-08-03 08:03:05.556036,0,Bachelor,1,5500.0,32,11,6,9,100,6,1,1,1.03,False
+1416,Engineering,Female,24,Technician,2022-11-06 08:03:05.556036,1,Bachelor,4,4900.0,51,35,20,2,100,11,29,2,4.86,False
+1417,Operations,Female,57,Analyst,2018-12-03 08:03:05.556036,5,Bachelor,3,5200.0,56,46,2,7,100,5,80,1,2.58,False
+1418,Finance,Female,23,Consultant,2016-09-14 08:03:05.556036,7,Bachelor,2,6600.0,31,14,7,1,50,5,38,1,3.8,False
+1419,Marketing,Female,33,Specialist,2023-07-17 08:03:05.556036,1,Bachelor,1,4950.0,31,41,29,1,75,9,61,0,2.39,False
+1420,Sales,Male,29,Specialist,2022-11-23 08:03:05.556036,1,Bachelor,1,4950.0,38,8,16,10,25,5,47,0,3.02,True
+1421,Operations,Male,38,Engineer,2021-06-09 08:03:05.556036,3,Bachelor,2,7200.0,37,42,5,12,100,2,93,1,3.97,False
+1422,Customer Support,Female,44,Specialist,2022-06-19 08:03:05.556036,2,Bachelor,4,6300.0,42,6,11,0,75,7,26,2,1.95,False
+1423,IT,Female,46,Consultant,2018-11-17 08:03:05.556036,5,Bachelor,2,6600.0,55,20,6,2,75,8,94,1,4.74,False
+1424,Legal,Male,27,Manager,2018-02-09 08:03:05.556036,6,High School,2,7200.0,60,39,25,4,75,8,16,1,4.75,True
+1425,IT,Male,46,Analyst,2014-11-10 08:03:05.556036,9,Bachelor,1,4400.0,46,4,9,1,25,2,44,0,4.66,False
+1426,Legal,Female,36,Consultant,2021-06-13 08:03:05.556036,3,Bachelor,3,7150.0,37,21,4,13,50,12,4,0,3.75,False
+1427,Finance,Female,41,Manager,2022-01-31 08:03:05.556036,2,PhD,3,7800.0,45,42,8,13,0,2,96,0,3.44,False
+1428,Finance,Male,43,Consultant,2022-05-11 08:03:05.556036,2,PhD,5,8250.0,32,14,16,3,50,5,4,2,3.68,False
+1429,IT,Female,26,Engineer,2019-06-04 08:03:05.556036,5,Bachelor,2,7200.0,57,22,6,12,50,16,47,0,3.46,True
+1430,IT,Female,25,Engineer,2015-06-28 08:03:05.556036,9,Bachelor,3,7800.0,47,19,15,4,50,7,69,1,2.34,False
+1431,HR,Male,44,Consultant,2018-04-18 08:03:05.556036,6,High School,1,6050.0,51,13,1,6,0,5,71,1,1.15,False
+1432,Marketing,Female,29,Specialist,2017-07-04 08:03:05.556036,7,Master,1,4950.0,31,43,9,10,75,18,8,0,2.77,False
+1433,Sales,Female,58,Specialist,2021-04-18 08:03:05.556036,3,PhD,2,5400.0,58,45,14,3,0,14,94,0,1.1,False
+1434,Customer Support,Female,26,Developer,2021-09-01 08:03:05.556036,3,High School,2,6000.0,42,24,15,13,25,8,67,1,3.48,False
+1435,Marketing,Female,45,Developer,2021-06-30 08:03:05.556036,3,High School,4,7000.0,50,20,13,6,100,1,17,1,1.57,False
+1436,IT,Female,53,Manager,2023-04-28 08:03:05.556036,1,Bachelor,3,7800.0,42,1,10,4,100,2,70,1,3.18,False
+1437,IT,Female,37,Engineer,2018-07-09 08:03:05.556036,6,High School,4,8400.0,43,17,9,11,0,2,78,0,3.82,False
+1438,IT,Female,60,Analyst,2020-06-23 08:03:05.556036,4,Master,3,5200.0,57,9,21,13,0,1,45,1,2.39,False
+1439,Engineering,Male,53,Engineer,2020-03-01 08:03:05.556036,4,Bachelor,2,7200.0,46,14,5,12,75,3,74,0,2.44,True
+1440,Operations,Male,40,Technician,2017-11-18 08:03:05.556036,6,Bachelor,2,4200.0,45,7,0,3,25,14,12,0,1.84,False
+1441,Sales,Female,43,Specialist,2024-03-08 08:03:05.556036,0,Bachelor,3,5850.0,37,9,16,14,75,7,9,0,1.16,False
+1442,Finance,Female,52,Manager,2015-01-13 08:03:05.556036,9,Bachelor,1,6600.0,40,44,6,4,0,11,45,0,4.87,False
+1443,Sales,Female,52,Engineer,2014-11-27 08:03:05.556036,9,Bachelor,3,7800.0,31,27,29,13,0,15,51,2,2.94,True
+1444,HR,Male,45,Developer,2018-07-03 08:03:05.556036,6,Master,5,7500.0,60,25,13,8,50,5,90,0,3.08,False
+1445,Finance,Female,54,Developer,2021-03-24 08:03:05.556036,3,Bachelor,1,5500.0,48,36,15,12,50,9,95,0,4.89,False
+1446,Engineering,Male,33,Engineer,2017-05-13 08:03:05.556036,7,High School,1,6600.0,48,24,25,5,25,8,13,0,3.83,False
+1447,Engineering,Female,56,Analyst,2018-10-11 08:03:05.556036,5,Master,3,5200.0,47,16,11,7,75,14,18,0,4.71,False
+1448,Marketing,Female,28,Developer,2020-06-21 08:03:05.556036,4,Bachelor,1,5500.0,57,4,3,5,100,7,99,0,4.8,False
+1449,Customer Support,Female,56,Specialist,2015-12-03 08:03:05.556036,8,Bachelor,1,4950.0,54,22,6,0,75,1,58,1,2.64,False
+1450,Marketing,Male,30,Consultant,2022-08-18 08:03:05.556036,2,Bachelor,1,6050.0,60,45,2,12,75,13,79,1,2.25,False
+1451,Marketing,Female,48,Developer,2018-03-17 08:03:05.556036,6,High School,3,6500.0,37,9,7,13,25,17,42,0,3.29,False
+1452,Sales,Other,51,Technician,2017-07-24 08:03:05.556036,7,High School,3,4550.0,44,2,27,6,25,7,97,2,2.06,False
+1453,Operations,Female,31,Developer,2019-11-02 08:03:05.556036,4,Bachelor,1,5500.0,53,33,16,8,0,1,59,1,3.67,False
+1454,Legal,Male,47,Specialist,2023-01-23 08:03:05.556036,1,Master,5,6750.0,33,49,9,12,0,19,88,2,3.07,False
+1455,Finance,Male,39,Analyst,2019-06-09 08:03:05.556036,5,Master,2,4800.0,50,13,11,2,0,12,66,2,4.26,False
+1456,Operations,Female,35,Developer,2024-05-24 08:03:05.556036,0,Bachelor,5,7500.0,30,15,6,11,0,7,87,1,2.12,True
+1457,Engineering,Female,24,Consultant,2017-08-23 08:03:05.556036,7,Master,5,8250.0,52,45,1,7,100,2,2,1,1.24,False
+1458,Operations,Female,55,Technician,2019-10-20 08:03:05.556036,4,Master,1,3850.0,50,49,16,10,75,17,88,1,1.74,False
+1459,Operations,Female,30,Engineer,2019-02-13 08:03:05.556036,5,Bachelor,3,7800.0,45,40,15,9,25,19,88,1,4.09,False
+1460,IT,Female,37,Specialist,2017-05-15 08:03:05.556036,7,High School,2,5400.0,50,47,25,7,25,2,29,1,4.09,False
+1461,HR,Male,29,Manager,2019-08-20 08:03:05.556036,5,Bachelor,3,7800.0,37,28,16,1,75,1,97,1,2.64,False
+1462,Engineering,Female,24,Developer,2021-11-23 08:03:05.556036,2,Bachelor,1,5500.0,33,12,19,10,25,2,84,0,2.41,False
+1463,HR,Male,42,Engineer,2023-01-23 08:03:05.556036,1,Master,5,9000.0,33,15,0,0,100,15,47,0,4.98,False
+1464,IT,Male,53,Engineer,2019-03-18 08:03:05.556036,5,High School,5,9000.0,57,21,12,6,100,17,97,0,3.66,False
+1465,Sales,Female,50,Specialist,2017-06-19 08:03:05.556036,7,Master,2,5400.0,55,38,6,14,100,11,59,1,1.3,False
+1466,HR,Other,55,Specialist,2015-01-13 08:03:05.556036,9,High School,5,6750.0,51,16,5,9,50,18,45,0,2.4,False
+1467,Customer Support,Male,45,Analyst,2022-12-26 08:03:05.556036,1,Bachelor,1,4400.0,35,18,13,12,75,13,40,0,3.33,False
+1468,Sales,Male,60,Developer,2015-02-09 08:03:05.556036,9,Bachelor,3,6500.0,41,35,11,1,25,17,20,0,4.43,False
+1469,Legal,Male,36,Engineer,2015-05-18 08:03:05.556036,9,High School,3,7800.0,41,41,8,2,100,16,3,2,1.96,False
+1470,Sales,Female,25,Specialist,2020-02-10 08:03:05.556036,4,Bachelor,5,6750.0,35,9,10,9,75,7,82,2,2.23,False
+1471,Finance,Female,44,Specialist,2016-11-09 08:03:05.556036,7,Bachelor,1,4950.0,45,39,17,14,75,1,55,1,3.32,False
+1472,Engineering,Female,36,Analyst,2021-07-22 08:03:05.556036,3,High School,4,5600.0,59,44,14,14,75,17,91,1,4.02,False
+1473,Legal,Male,53,Manager,2016-01-21 08:03:05.556036,8,High School,5,9000.0,59,39,10,13,0,15,35,1,2.42,False
+1474,HR,Male,58,Analyst,2019-12-30 08:03:05.556036,4,Master,3,5200.0,57,12,16,3,0,11,17,0,3.28,False
+1475,Legal,Male,54,Analyst,2014-11-14 08:03:05.556036,9,Bachelor,2,4800.0,51,16,2,1,100,19,6,2,1.54,False
+1476,Legal,Male,57,Specialist,2022-10-23 08:03:05.556036,1,Master,4,6300.0,32,24,24,14,100,3,43,0,4.14,False
+1477,Legal,Male,55,Manager,2023-12-09 08:03:05.556036,0,High School,1,6600.0,30,30,21,4,100,13,73,1,4.83,False
+1478,Customer Support,Male,29,Technician,2021-03-06 08:03:05.556036,3,Bachelor,1,3850.0,52,10,10,1,50,8,98,1,2.46,False
+1479,Engineering,Male,43,Manager,2016-12-20 08:03:05.556036,7,High School,4,8400.0,39,1,13,8,50,2,41,0,1.04,False
+1480,Customer Support,Female,44,Engineer,2022-10-12 08:03:05.556036,1,Bachelor,5,9000.0,38,9,14,0,0,6,56,2,3.37,False
+1481,HR,Female,23,Consultant,2018-08-02 08:03:05.556036,6,Bachelor,5,8250.0,49,15,3,10,0,1,91,1,3.88,False
+1482,Marketing,Male,38,Consultant,2016-07-25 08:03:05.556036,8,Bachelor,4,7700.0,46,25,19,10,25,4,52,0,2.27,False
+1483,Marketing,Female,56,Consultant,2017-12-27 08:03:05.556036,6,Bachelor,4,7700.0,42,33,14,11,0,11,8,2,3.54,False
+1484,Legal,Female,24,Manager,2021-12-06 08:03:05.556036,2,Master,3,7800.0,41,25,15,3,25,12,98,1,2.49,False
+1485,Legal,Female,41,Specialist,2017-01-26 08:03:05.556036,7,Bachelor,2,5400.0,41,4,28,4,50,6,43,1,3.24,False
+1486,Finance,Male,42,Manager,2020-07-29 08:03:05.556036,4,Master,1,6600.0,39,29,13,0,25,11,56,1,4.24,False
+1487,Sales,Female,48,Manager,2017-10-05 08:03:05.556036,6,Bachelor,3,7800.0,60,23,18,8,75,14,34,2,3.23,False
+1488,IT,Female,29,Engineer,2023-07-11 08:03:05.556036,1,High School,4,8400.0,60,42,10,5,50,16,17,1,2.0,False
+1489,Sales,Female,56,Engineer,2016-08-04 08:03:05.556036,8,High School,5,9000.0,37,31,4,8,75,10,71,0,3.82,False
+1490,IT,Female,44,Technician,2017-02-17 08:03:05.556036,7,High School,3,4550.0,35,37,27,14,25,8,34,2,3.84,False
+1491,HR,Female,36,Analyst,2022-07-02 08:03:05.556036,2,Bachelor,3,5200.0,46,5,2,10,25,12,0,0,3.41,True
+1492,HR,Male,43,Specialist,2018-06-22 08:03:05.556036,6,Bachelor,3,5850.0,30,9,24,14,100,6,13,0,3.22,False
+1493,HR,Male,49,Manager,2022-09-27 08:03:05.556036,1,High School,3,7800.0,33,26,24,13,75,10,72,1,1.56,False
+1494,Customer Support,Female,54,Developer,2020-08-30 08:03:05.556036,4,Master,3,6500.0,31,18,14,4,25,13,81,0,2.45,False
+1495,IT,Female,43,Developer,2020-07-20 08:03:05.556036,4,High School,4,7000.0,31,12,25,1,75,17,21,1,1.59,True
+1496,HR,Female,29,Developer,2019-08-11 08:03:05.556036,5,High School,1,5500.0,47,15,29,5,50,3,78,2,1.0,False
+1497,Operations,Male,46,Technician,2014-11-18 08:03:05.556036,9,High School,5,5250.0,33,3,23,12,25,14,41,0,3.02,True
+1498,HR,Male,46,Consultant,2022-08-10 08:03:05.556036,2,High School,2,6600.0,31,19,26,1,100,16,22,1,2.34,False
+1499,Customer Support,Male,52,Technician,2015-12-21 08:03:05.556036,8,High School,5,5250.0,46,7,27,13,100,2,46,2,3.21,False
+1500,Marketing,Female,54,Consultant,2015-02-12 08:03:05.556036,9,Bachelor,2,6600.0,31,17,14,1,25,7,93,0,4.74,False
+1501,Operations,Female,40,Technician,2018-02-19 08:03:05.556036,6,Bachelor,5,5250.0,40,8,7,11,25,10,44,1,4.86,False
+1502,HR,Male,32,Analyst,2014-12-09 08:03:05.556036,9,PhD,3,5200.0,58,42,19,3,0,10,57,1,3.68,False
+1503,Finance,Male,26,Technician,2023-04-26 08:03:05.556036,1,High School,4,4900.0,51,37,28,12,50,3,91,2,1.19,False
+1504,Sales,Male,27,Consultant,2021-12-29 08:03:05.556036,2,Master,5,8250.0,41,9,20,8,25,17,65,1,1.21,False
+1505,Operations,Female,50,Consultant,2015-05-18 08:03:05.556036,9,Bachelor,3,7150.0,33,47,16,2,0,9,9,0,3.59,False
+1506,Legal,Male,43,Specialist,2021-11-17 08:03:05.556036,2,High School,3,5850.0,46,7,14,12,75,19,0,1,4.92,False
+1507,Finance,Male,35,Developer,2024-01-14 08:03:05.556036,0,Bachelor,1,5500.0,40,31,8,8,50,14,58,1,3.73,False
+1508,Engineering,Female,24,Engineer,2022-02-21 08:03:05.556036,2,Bachelor,3,7800.0,52,45,25,2,75,13,70,1,1.37,False
+1509,Engineering,Female,47,Developer,2017-07-19 08:03:05.556036,7,Bachelor,1,5500.0,56,6,29,11,50,19,50,1,1.13,False
+1510,Finance,Male,57,Consultant,2021-01-27 08:03:05.556036,3,Bachelor,1,6050.0,37,21,3,12,50,19,2,1,2.8,False
+1511,Engineering,Male,44,Specialist,2020-02-26 08:03:05.556036,4,Bachelor,5,6750.0,43,13,21,12,0,5,40,1,4.29,False
+1512,Legal,Female,28,Consultant,2022-02-17 08:03:05.556036,2,Bachelor,4,7700.0,59,19,1,13,0,9,4,0,4.46,False
+1513,IT,Female,51,Developer,2019-04-20 08:03:05.556036,5,High School,5,7500.0,41,35,1,14,0,11,62,0,4.49,True
+1514,IT,Male,32,Analyst,2021-08-11 08:03:05.556036,3,High School,2,4800.0,36,36,21,10,50,1,47,0,1.59,False
+1515,IT,Female,55,Specialist,2015-05-01 08:03:05.556036,9,Bachelor,2,5400.0,38,46,10,3,75,7,7,1,2.41,False
+1516,Finance,Male,52,Technician,2020-09-15 08:03:05.556036,3,Bachelor,1,3850.0,49,49,21,13,25,4,23,1,3.0,False
+1517,IT,Female,48,Manager,2016-01-05 08:03:05.556036,8,Bachelor,5,9000.0,43,4,15,11,50,5,86,1,1.68,False
+1518,Sales,Male,27,Specialist,2020-12-21 08:03:05.556036,3,Bachelor,2,5400.0,30,7,14,12,100,13,91,2,1.7,False
+1519,Customer Support,Male,29,Specialist,2019-07-24 08:03:05.556036,5,Master,3,5850.0,31,10,21,0,25,8,43,0,4.91,True
+1520,HR,Other,26,Consultant,2015-10-29 08:03:05.556036,8,Bachelor,2,6600.0,32,33,25,6,100,14,48,0,1.28,False
+1521,IT,Female,24,Engineer,2024-01-27 08:03:05.556036,0,Bachelor,5,9000.0,42,42,26,3,0,1,93,1,3.73,False
+1522,Marketing,Male,40,Analyst,2019-08-06 08:03:05.556036,5,Bachelor,3,5200.0,44,2,14,11,75,8,70,1,4.24,False
+1523,Sales,Male,22,Developer,2019-02-20 08:03:05.556036,5,High School,3,6500.0,44,37,13,11,0,2,59,0,1.61,False
+1524,IT,Female,24,Manager,2015-07-29 08:03:05.556036,9,Bachelor,2,7200.0,40,8,22,14,25,5,48,2,3.61,False
+1525,IT,Female,23,Consultant,2016-04-09 08:03:05.556036,8,Master,4,7700.0,33,47,20,6,50,4,2,1,4.27,True
+1526,Operations,Female,47,Manager,2022-11-17 08:03:05.556036,1,High School,1,6600.0,38,12,14,0,75,9,74,0,3.43,False
+1527,Marketing,Male,22,Consultant,2022-08-02 08:03:05.556036,2,Bachelor,2,6600.0,31,25,5,1,50,19,62,0,3.94,False
+1528,Sales,Male,60,Technician,2019-06-01 08:03:05.556036,5,Bachelor,4,4900.0,48,0,3,2,100,5,13,2,1.44,False
+1529,IT,Female,24,Specialist,2018-11-17 08:03:05.556036,5,Bachelor,5,6750.0,44,48,25,2,50,4,92,0,2.6,False
+1530,Customer Support,Male,46,Consultant,2014-12-26 08:03:05.556036,9,Master,2,6600.0,35,7,6,14,25,14,70,1,3.94,False
+1531,Customer Support,Male,35,Manager,2021-08-21 08:03:05.556036,3,Bachelor,4,8400.0,55,23,19,12,0,17,3,1,2.94,False
+1532,Marketing,Male,34,Specialist,2018-12-19 08:03:05.556036,5,Master,4,6300.0,48,36,21,11,0,10,26,1,3.18,False
+1533,IT,Male,42,Manager,2016-04-06 08:03:05.556036,8,High School,5,9000.0,32,15,21,7,75,9,90,2,1.83,False
+1534,HR,Male,57,Manager,2021-02-11 08:03:05.556036,3,Bachelor,5,9000.0,60,16,23,5,100,13,99,0,1.43,False
+1535,HR,Female,25,Developer,2023-08-28 08:03:05.556036,1,High School,3,6500.0,44,10,2,3,50,7,67,1,4.6,False
+1536,IT,Male,43,Developer,2019-09-14 08:03:05.556036,4,Master,5,7500.0,58,43,5,14,25,9,59,0,2.81,False
+1537,Sales,Male,57,Manager,2024-05-31 08:03:05.556036,0,Bachelor,5,9000.0,35,37,2,14,0,3,77,2,1.27,False
+1538,Marketing,Male,56,Consultant,2021-01-02 08:03:05.556036,3,High School,2,6600.0,31,34,25,1,25,8,45,1,3.19,False
+1539,Operations,Female,24,Engineer,2017-10-21 08:03:05.556036,6,Master,1,6600.0,49,24,27,7,100,13,98,2,3.98,False
+1540,Legal,Male,44,Specialist,2023-02-23 08:03:05.556036,1,PhD,3,5850.0,41,27,26,4,100,12,24,2,1.92,False
+1541,Sales,Female,23,Manager,2015-09-01 08:03:05.556036,9,Bachelor,4,8400.0,40,30,11,12,25,10,8,0,1.83,True
+1542,HR,Male,23,Engineer,2018-08-04 08:03:05.556036,6,High School,3,7800.0,58,12,28,5,25,6,78,2,2.46,False
+1543,Sales,Male,38,Consultant,2023-10-26 08:03:05.556036,0,Bachelor,2,6600.0,31,18,13,4,75,9,93,1,2.32,False
+1544,Customer Support,Male,40,Manager,2017-11-11 08:03:05.556036,6,Bachelor,1,6600.0,33,45,1,10,50,8,54,2,4.54,False
+1545,Legal,Female,24,Analyst,2020-12-05 08:03:05.556036,3,High School,1,4400.0,48,20,29,2,25,11,82,2,4.09,False
+1546,Engineering,Male,42,Engineer,2021-04-01 08:03:05.556036,3,High School,4,8400.0,46,32,25,2,50,14,67,1,2.81,False
+1547,IT,Male,41,Manager,2018-01-10 08:03:05.556036,6,High School,5,9000.0,58,24,6,11,25,14,46,0,4.42,False
+1548,Legal,Male,58,Developer,2015-09-10 08:03:05.556036,8,High School,3,6500.0,55,28,21,2,75,9,10,0,3.44,True
+1549,Operations,Male,25,Technician,2016-08-28 08:03:05.556036,8,High School,3,4550.0,30,40,16,12,75,1,21,1,3.71,False
+1550,Legal,Male,48,Engineer,2023-11-30 08:03:05.556036,0,Bachelor,1,6600.0,48,25,28,4,50,18,3,2,2.87,False
+1551,Marketing,Male,60,Engineer,2022-06-04 08:03:05.556036,2,High School,3,7800.0,51,12,18,10,50,10,7,0,3.97,False
+1552,Marketing,Male,25,Specialist,2021-03-15 08:03:05.556036,3,Bachelor,2,5400.0,44,0,12,12,50,19,28,1,2.28,False
+1553,Finance,Female,22,Manager,2017-08-04 08:03:05.556036,7,Bachelor,2,7200.0,55,32,18,2,100,8,0,2,3.66,False
+1554,HR,Female,41,Technician,2015-01-16 08:03:05.556036,9,Bachelor,4,4900.0,32,37,21,5,25,17,69,1,2.15,False
+1555,IT,Female,50,Consultant,2022-11-30 08:03:05.556036,1,PhD,1,6050.0,59,26,21,1,0,14,45,1,1.05,False
+1556,Legal,Female,46,Manager,2017-08-13 08:03:05.556036,7,Bachelor,4,8400.0,42,7,29,13,75,15,17,1,3.21,False
+1557,Engineering,Male,27,Engineer,2022-09-26 08:03:05.556036,1,Bachelor,5,9000.0,43,49,0,6,75,15,75,2,4.5,False
+1558,IT,Male,53,Developer,2023-06-14 08:03:05.556036,1,High School,4,7000.0,53,16,1,10,25,7,13,2,4.29,False
+1559,Operations,Female,28,Consultant,2020-11-08 08:03:05.556036,3,Bachelor,5,8250.0,40,24,20,12,100,7,69,0,2.01,False
+1560,Sales,Female,28,Manager,2022-10-08 08:03:05.556036,1,PhD,1,6600.0,57,34,22,14,75,15,78,1,4.34,False
+1561,Customer Support,Female,32,Engineer,2021-02-14 08:03:05.556036,3,High School,5,9000.0,38,17,26,10,25,18,97,2,1.53,False
+1562,Marketing,Female,30,Specialist,2014-09-29 08:03:05.556036,9,Master,2,5400.0,51,29,22,13,75,7,83,1,2.82,False
+1563,Customer Support,Female,37,Specialist,2018-08-30 08:03:05.556036,6,Master,3,5850.0,35,44,7,0,100,1,87,0,2.27,False
+1564,Finance,Male,22,Engineer,2015-04-22 08:03:05.556036,9,Bachelor,4,8400.0,45,37,21,4,100,6,16,2,4.49,False
+1565,Customer Support,Male,23,Engineer,2021-06-06 08:03:05.556036,3,Bachelor,5,9000.0,34,9,3,1,100,5,13,0,4.79,False
+1566,Marketing,Male,57,Manager,2016-06-28 08:03:05.556036,8,Bachelor,4,8400.0,55,20,0,10,25,5,48,0,2.65,False
+1567,Customer Support,Female,57,Consultant,2017-08-13 08:03:05.556036,7,Master,2,6600.0,58,46,27,13,25,18,75,1,1.84,False
+1568,Engineering,Male,32,Consultant,2020-10-11 08:03:05.556036,3,Bachelor,5,8250.0,53,22,15,0,75,3,34,1,3.33,True
+1569,IT,Other,22,Developer,2016-08-30 08:03:05.556036,8,Master,2,6000.0,43,2,6,6,25,15,64,1,2.02,False
+1570,Customer Support,Female,35,Engineer,2020-09-14 08:03:05.556036,3,Bachelor,1,6600.0,36,30,4,11,0,4,54,0,1.89,False
+1571,Marketing,Female,25,Consultant,2023-10-31 08:03:05.556036,0,Bachelor,4,7700.0,41,27,24,0,50,14,83,2,1.99,True
+1572,Operations,Male,55,Technician,2017-11-15 08:03:05.556036,6,Bachelor,4,4900.0,53,11,12,13,100,17,88,2,4.27,False
+1573,Legal,Female,27,Analyst,2023-12-24 08:03:05.556036,0,PhD,5,6000.0,32,18,18,5,50,16,76,1,4.2,False
+1574,Legal,Female,33,Consultant,2017-03-28 08:03:05.556036,7,High School,3,7150.0,50,20,14,6,0,7,12,2,1.15,False
+1575,Marketing,Female,24,Manager,2020-06-22 08:03:05.556036,4,High School,2,7200.0,54,2,19,1,25,17,24,1,3.4,False
+1576,Marketing,Male,47,Consultant,2015-04-05 08:03:05.556036,9,Bachelor,3,7150.0,40,26,12,1,0,11,36,1,4.84,False
+1577,IT,Female,45,Engineer,2023-12-09 08:03:05.556036,0,Master,5,9000.0,57,25,20,10,0,15,59,1,1.73,False
+1578,Operations,Female,44,Consultant,2021-05-22 08:03:05.556036,3,Bachelor,3,7150.0,30,38,9,5,75,1,95,1,4.67,False
+1579,Sales,Female,53,Developer,2020-10-23 08:03:05.556036,3,High School,3,6500.0,37,9,4,8,100,12,45,1,1.53,False
+1580,Operations,Female,31,Engineer,2015-07-08 08:03:05.556036,9,High School,5,9000.0,36,8,18,2,75,7,59,0,4.84,False
+1581,Finance,Female,31,Developer,2023-09-15 08:03:05.556036,0,PhD,2,6000.0,31,13,23,0,25,4,0,1,4.87,False
+1582,IT,Female,31,Analyst,2021-07-07 08:03:05.556036,3,Bachelor,3,5200.0,33,23,1,3,100,11,40,2,4.89,False
+1583,Sales,Male,44,Technician,2019-07-27 08:03:05.556036,5,Master,2,4200.0,41,19,1,2,50,5,53,0,2.84,False
+1584,Operations,Female,33,Manager,2023-06-04 08:03:05.556036,1,Bachelor,3,7800.0,52,33,4,4,50,4,30,2,1.4,False
+1585,Engineering,Male,55,Manager,2018-09-07 08:03:05.556036,5,PhD,5,9000.0,37,11,13,2,50,17,15,1,2.07,False
+1586,Customer Support,Male,39,Technician,2023-03-27 08:03:05.556036,1,Bachelor,1,3850.0,49,16,5,10,75,18,51,2,3.03,False
+1587,Sales,Male,23,Specialist,2024-07-09 08:03:05.556036,0,High School,1,4950.0,32,12,14,1,75,5,0,0,1.32,False
+1588,HR,Male,27,Developer,2015-02-18 08:03:05.556036,9,High School,5,7500.0,36,21,13,3,0,15,20,1,2.5,False
+1589,Finance,Male,41,Engineer,2017-03-15 08:03:05.556036,7,High School,5,9000.0,52,15,7,14,100,7,4,1,2.62,True
+1590,Marketing,Male,33,Technician,2015-06-17 08:03:05.556036,9,Bachelor,4,4900.0,59,13,17,11,50,16,50,0,4.15,False
+1591,Operations,Male,26,Engineer,2021-10-10 08:03:05.556036,2,High School,1,6600.0,40,21,6,5,0,10,2,0,3.05,False
+1592,Operations,Female,22,Consultant,2018-07-05 08:03:05.556036,6,PhD,1,6050.0,58,7,6,0,100,2,81,0,4.15,False
+1593,Sales,Female,45,Specialist,2016-02-06 08:03:05.556036,8,PhD,1,4950.0,34,11,17,13,25,10,28,2,4.83,False
+1594,Operations,Female,42,Analyst,2017-10-21 08:03:05.556036,6,PhD,4,5600.0,54,5,4,8,75,4,22,1,4.4,False
+1595,Engineering,Male,27,Developer,2016-03-22 08:03:05.556036,8,Bachelor,1,5500.0,30,46,13,1,50,9,42,1,2.03,False
+1596,HR,Female,48,Specialist,2014-11-05 08:03:05.556036,9,High School,4,6300.0,44,18,8,0,75,9,61,1,2.01,False
+1597,Sales,Male,57,Specialist,2015-10-14 08:03:05.556036,8,High School,1,4950.0,38,29,29,7,100,15,24,2,4.45,False
+1598,Operations,Female,36,Consultant,2021-11-15 08:03:05.556036,2,Bachelor,3,7150.0,34,25,7,14,75,8,88,2,4.18,False
+1599,Finance,Female,51,Specialist,2018-06-29 08:03:05.556036,6,Bachelor,4,6300.0,56,10,20,9,25,9,57,0,2.37,False
+1600,Finance,Male,39,Analyst,2024-05-03 08:03:05.556036,0,High School,2,4800.0,45,11,28,0,75,1,32,1,3.14,False
+1601,Operations,Female,50,Technician,2017-06-20 08:03:05.556036,7,Bachelor,5,5250.0,38,28,8,9,25,7,31,2,2.55,False
+1602,Sales,Female,24,Consultant,2024-04-03 08:03:05.556036,0,Bachelor,5,8250.0,43,21,18,1,100,14,88,2,2.13,True
+1603,Customer Support,Other,31,Developer,2019-04-26 08:03:05.556036,5,Bachelor,1,5500.0,36,35,2,5,25,9,83,0,1.02,False
+1604,Operations,Male,47,Analyst,2016-09-15 08:03:05.556036,7,Bachelor,3,5200.0,50,12,9,10,0,7,20,2,2.26,False
+1605,Legal,Male,51,Developer,2015-09-20 08:03:05.556036,8,High School,4,7000.0,41,2,4,13,100,4,69,0,4.03,False
+1606,Legal,Male,42,Specialist,2020-02-13 08:03:05.556036,4,Bachelor,1,4950.0,53,35,28,7,75,13,71,0,1.15,False
+1607,Operations,Female,23,Manager,2020-04-28 08:03:05.556036,4,High School,3,7800.0,40,21,1,3,75,3,67,1,2.55,False
+1608,Marketing,Male,30,Developer,2020-04-03 08:03:05.556036,4,Bachelor,5,7500.0,30,28,14,1,75,9,25,0,2.11,False
+1609,IT,Male,30,Consultant,2014-10-25 08:03:05.556036,9,Bachelor,1,6050.0,49,39,23,2,50,13,1,0,3.29,False
+1610,Sales,Male,59,Manager,2020-09-28 08:03:05.556036,3,High School,3,7800.0,60,13,2,10,25,5,72,0,4.99,False
+1611,Finance,Male,37,Technician,2022-06-09 08:03:05.556036,2,Bachelor,1,3850.0,49,35,9,3,75,2,21,2,4.83,False
+1612,Operations,Male,39,Analyst,2017-01-04 08:03:05.556036,7,Bachelor,3,5200.0,58,35,14,2,100,6,76,1,3.45,False
+1613,Legal,Male,52,Developer,2015-07-06 08:03:05.556036,9,High School,4,7000.0,45,9,4,10,50,6,70,2,1.57,False
+1614,Finance,Male,58,Developer,2020-05-12 08:03:05.556036,4,Bachelor,1,5500.0,34,40,2,3,25,19,39,2,1.65,False
+1615,Engineering,Male,42,Analyst,2016-05-07 08:03:05.556036,8,Bachelor,3,5200.0,49,31,28,6,75,15,66,0,4.28,False
+1616,Legal,Male,53,Analyst,2016-02-09 08:03:05.556036,8,Bachelor,1,4400.0,37,49,29,13,0,18,93,0,4.99,False
+1617,Engineering,Female,26,Consultant,2015-04-12 08:03:05.556036,9,Bachelor,1,6050.0,45,29,17,12,75,7,26,1,4.49,False
+1618,Sales,Male,27,Specialist,2016-05-07 08:03:05.556036,8,Bachelor,3,5850.0,49,40,27,4,0,3,34,1,2.22,False
+1619,Customer Support,Female,51,Engineer,2017-04-10 08:03:05.556036,7,Bachelor,3,7800.0,56,28,26,2,0,11,7,0,2.8,False
+1620,Engineering,Female,55,Manager,2020-10-01 08:03:05.556036,3,Bachelor,4,8400.0,40,12,14,7,75,3,85,1,2.42,False
+1621,Marketing,Other,50,Developer,2019-02-04 08:03:05.556036,5,High School,4,7000.0,47,47,29,7,50,5,50,0,4.1,False
+1622,Legal,Female,34,Consultant,2017-11-21 08:03:05.556036,6,Master,5,8250.0,54,23,9,7,0,16,96,0,2.17,False
+1623,Finance,Male,31,Developer,2024-08-17 08:03:05.556036,0,High School,1,5500.0,43,46,26,9,75,18,39,0,3.51,False
+1624,Finance,Male,39,Developer,2018-07-23 08:03:05.556036,6,PhD,5,7500.0,41,11,6,5,75,7,8,2,2.71,True
+1625,HR,Male,27,Manager,2023-06-04 08:03:05.556036,1,Bachelor,3,7800.0,59,10,11,14,0,12,13,2,3.23,False
+1626,IT,Female,28,Technician,2023-02-25 08:03:05.556036,1,Bachelor,5,5250.0,55,7,17,5,25,2,63,0,1.25,False
+1627,Customer Support,Female,50,Engineer,2017-06-25 08:03:05.556036,7,High School,1,6600.0,54,33,3,0,25,8,41,0,2.78,False
+1628,Marketing,Female,44,Engineer,2017-10-14 08:03:05.556036,6,High School,5,9000.0,31,45,2,3,0,19,22,2,1.53,False
+1629,IT,Female,54,Technician,2023-07-15 08:03:05.556036,1,High School,1,3850.0,33,4,28,10,25,10,97,2,4.2,False
+1630,Marketing,Male,34,Manager,2022-06-15 08:03:05.556036,2,Bachelor,4,8400.0,32,38,24,5,25,19,12,0,3.88,False
+1631,Operations,Male,34,Engineer,2017-11-15 08:03:05.556036,6,High School,3,7800.0,57,43,5,12,100,8,85,0,4.74,False
+1632,Sales,Other,44,Analyst,2016-02-16 08:03:05.556036,8,High School,5,6000.0,54,18,16,6,100,4,92,1,2.77,False
+1633,IT,Male,37,Consultant,2016-04-20 08:03:05.556036,8,Bachelor,1,6050.0,39,35,1,12,75,13,68,0,4.46,False
+1634,IT,Female,29,Analyst,2016-09-15 08:03:05.556036,7,Master,4,5600.0,36,29,1,6,25,2,42,0,3.59,False
+1635,Legal,Male,24,Developer,2015-05-18 08:03:05.556036,9,Bachelor,5,7500.0,32,23,1,13,25,1,67,1,1.28,False
+1636,HR,Male,38,Analyst,2020-09-30 08:03:05.556036,3,Bachelor,4,5600.0,57,11,29,3,75,4,31,2,2.06,False
+1637,HR,Male,39,Engineer,2020-02-11 08:03:05.556036,4,Master,3,7800.0,40,30,27,8,75,14,95,1,4.89,False
+1638,Sales,Male,22,Engineer,2024-02-16 08:03:05.556036,0,High School,1,6600.0,46,43,23,10,75,14,37,1,4.96,True
+1639,Marketing,Male,43,Analyst,2017-09-04 08:03:05.556036,7,Bachelor,3,5200.0,42,34,19,14,75,3,48,2,2.03,False
+1640,Engineering,Female,36,Technician,2016-07-27 08:03:05.556036,8,Bachelor,1,3850.0,56,30,9,2,0,3,70,1,4.1,False
+1641,Finance,Male,57,Developer,2022-06-14 08:03:05.556036,2,High School,2,6000.0,31,49,20,9,75,5,55,2,4.74,False
+1642,Operations,Female,55,Technician,2018-10-16 08:03:05.556036,5,Bachelor,3,4550.0,47,25,17,4,100,13,12,1,3.46,False
+1643,HR,Male,42,Consultant,2016-10-23 08:03:05.556036,7,High School,1,6050.0,59,19,19,9,25,8,81,0,1.53,False
+1644,Finance,Male,36,Manager,2018-11-10 08:03:05.556036,5,Bachelor,4,8400.0,33,23,10,10,25,9,69,0,1.15,False
+1645,Marketing,Female,29,Analyst,2018-03-07 08:03:05.556036,6,Bachelor,1,4400.0,54,27,12,2,50,2,17,0,1.95,False
+1646,HR,Male,51,Consultant,2020-12-01 08:03:05.556036,3,Bachelor,4,7700.0,44,45,0,7,0,14,42,0,2.87,False
+1647,Engineering,Male,48,Analyst,2020-02-02 08:03:05.556036,4,PhD,5,6000.0,30,27,16,4,25,9,37,0,3.67,False
+1648,Sales,Female,35,Engineer,2015-08-12 08:03:05.556036,9,Bachelor,4,8400.0,47,26,12,2,75,18,80,1,3.11,False
+1649,Engineering,Male,35,Specialist,2022-03-23 08:03:05.556036,2,Bachelor,2,5400.0,55,26,16,4,0,13,43,1,1.6,False
+1650,Legal,Male,48,Developer,2024-02-19 08:03:05.556036,0,Bachelor,3,6500.0,45,5,16,4,0,9,89,0,3.47,False
+1651,Engineering,Male,32,Engineer,2018-02-09 08:03:05.556036,6,High School,4,8400.0,57,14,26,11,75,19,34,2,3.4,True
+1652,Engineering,Female,24,Specialist,2018-11-28 08:03:05.556036,5,Bachelor,3,5850.0,50,13,2,1,0,6,8,2,3.02,False
+1653,IT,Female,42,Consultant,2019-12-05 08:03:05.556036,4,Bachelor,1,6050.0,53,44,15,2,0,12,28,2,2.94,False
+1654,Customer Support,Female,39,Consultant,2019-07-17 08:03:05.556036,5,High School,3,7150.0,33,25,16,12,100,6,6,2,2.48,False
+1655,Marketing,Male,50,Analyst,2015-11-25 08:03:05.556036,8,Bachelor,1,4400.0,52,0,12,14,75,14,25,1,4.48,False
+1656,IT,Male,49,Analyst,2024-09-02 08:03:05.556036,0,Bachelor,3,5200.0,50,34,27,3,50,1,40,1,2.15,False
+1657,HR,Male,37,Technician,2018-03-24 08:03:05.556036,6,High School,2,4200.0,32,23,7,5,100,12,25,2,2.15,False
+1658,Legal,Male,33,Technician,2020-02-06 08:03:05.556036,4,High School,2,4200.0,52,48,26,0,25,17,24,2,2.89,False
+1659,Legal,Female,49,Engineer,2019-08-28 08:03:05.556036,5,Bachelor,4,8400.0,37,30,4,6,50,16,42,1,3.99,False
+1660,HR,Female,44,Developer,2021-01-22 08:03:05.556036,3,Master,1,5500.0,50,3,20,3,25,11,92,0,2.17,False
+1661,Sales,Female,51,Engineer,2015-07-09 08:03:05.556036,9,Bachelor,4,8400.0,59,41,27,3,75,11,91,1,3.94,False
+1662,Legal,Male,52,Consultant,2016-02-10 08:03:05.556036,8,Bachelor,4,7700.0,52,30,26,1,100,19,71,0,4.55,False
+1663,Legal,Female,30,Analyst,2018-06-20 08:03:05.556036,6,Bachelor,3,5200.0,56,42,13,13,50,10,45,0,3.01,False
+1664,Engineering,Male,35,Engineer,2023-09-11 08:03:05.556036,0,Bachelor,1,6600.0,48,25,19,12,100,15,2,2,4.57,False
+1665,HR,Male,35,Consultant,2017-09-12 08:03:05.556036,6,Bachelor,4,7700.0,31,6,0,6,0,9,75,2,3.31,False
+1666,HR,Male,56,Specialist,2022-04-01 08:03:05.556036,2,PhD,4,6300.0,30,10,29,6,50,1,29,2,4.57,False
+1667,Customer Support,Female,41,Analyst,2017-02-16 08:03:05.556036,7,Master,2,4800.0,38,41,15,5,25,12,74,0,4.69,False
+1668,Customer Support,Male,52,Developer,2020-07-26 08:03:05.556036,4,High School,3,6500.0,59,49,0,8,75,10,25,1,3.65,False
+1669,Marketing,Male,40,Developer,2021-11-11 08:03:05.556036,2,PhD,4,7000.0,43,49,15,12,100,2,6,2,3.71,False
+1670,Customer Support,Female,59,Specialist,2024-05-22 08:03:05.556036,0,Master,1,4950.0,31,23,2,4,25,5,52,1,3.51,False
+1671,Operations,Female,40,Specialist,2017-06-26 08:03:05.556036,7,Bachelor,1,4950.0,30,37,14,13,50,17,54,2,1.77,False
+1672,Sales,Female,27,Developer,2018-10-23 08:03:05.556036,5,Master,2,6000.0,53,23,26,1,75,17,27,0,1.38,False
+1673,HR,Female,57,Manager,2023-04-12 08:03:05.556036,1,High School,2,7200.0,51,40,12,13,75,7,41,0,3.85,False
+1674,IT,Female,23,Manager,2022-12-19 08:03:05.556036,1,Bachelor,4,8400.0,59,16,20,1,0,10,53,0,2.65,False
+1675,Finance,Male,36,Developer,2024-08-10 08:03:05.556036,0,High School,5,7500.0,48,8,11,2,50,17,83,1,4.26,False
+1676,Marketing,Female,47,Manager,2018-07-10 08:03:05.556036,6,High School,4,8400.0,41,17,22,5,50,1,72,2,4.14,False
+1677,Marketing,Female,59,Manager,2018-06-26 08:03:05.556036,6,Bachelor,2,7200.0,53,23,9,0,100,9,90,0,3.74,False
+1678,Customer Support,Male,45,Technician,2022-01-11 08:03:05.556036,2,High School,5,5250.0,43,8,3,5,50,17,26,1,1.01,False
+1679,Marketing,Female,26,Technician,2022-04-15 08:03:05.556036,2,Bachelor,4,4900.0,44,37,21,2,100,4,94,2,1.42,False
+1680,Operations,Female,27,Manager,2017-02-09 08:03:05.556036,7,Bachelor,5,9000.0,50,0,18,2,75,4,71,2,2.05,False
+1681,IT,Female,42,Developer,2015-04-14 08:03:05.556036,9,PhD,2,6000.0,48,32,7,2,50,8,56,2,1.85,True
+1682,Engineering,Male,27,Engineer,2015-08-22 08:03:05.556036,9,High School,1,6600.0,38,1,8,13,50,18,56,1,4.8,False
+1683,HR,Male,42,Engineer,2024-02-26 08:03:05.556036,0,High School,1,6600.0,33,8,15,9,75,10,44,1,1.72,False
+1684,Customer Support,Female,27,Engineer,2023-03-23 08:03:05.556036,1,Bachelor,4,8400.0,56,3,2,5,50,19,37,1,2.36,False
+1685,Marketing,Female,32,Engineer,2016-09-20 08:03:05.556036,7,Bachelor,2,7200.0,52,6,19,11,0,12,66,0,1.13,False
+1686,Customer Support,Other,59,Specialist,2021-04-28 08:03:05.556036,3,High School,2,5400.0,54,7,0,10,100,6,44,0,1.93,False
+1687,Engineering,Female,59,Developer,2016-04-11 08:03:05.556036,8,Bachelor,4,7000.0,54,35,2,12,25,12,63,2,2.09,False
+1688,Sales,Female,48,Developer,2019-11-19 08:03:05.556036,4,Bachelor,4,7000.0,43,39,7,5,25,1,42,1,1.25,False
+1689,Finance,Female,26,Consultant,2015-08-07 08:03:05.556036,9,High School,2,6600.0,57,26,15,2,0,11,45,0,3.42,False
+1690,Finance,Female,40,Specialist,2015-01-23 08:03:05.556036,9,Master,2,5400.0,48,11,1,6,0,16,47,0,2.87,False
+1691,Customer Support,Other,39,Analyst,2020-07-16 08:03:05.556036,4,Bachelor,1,4400.0,34,41,21,10,75,17,17,1,1.6,False
+1692,IT,Female,27,Engineer,2024-06-11 08:03:05.556036,0,Bachelor,2,7200.0,37,2,13,6,25,12,58,0,3.38,False
+1693,Finance,Male,38,Engineer,2023-05-23 08:03:05.556036,1,Bachelor,4,8400.0,51,26,8,9,100,18,80,0,2.9,False
+1694,Operations,Male,60,Specialist,2016-06-21 08:03:05.556036,8,Master,3,5850.0,51,10,10,5,75,10,67,0,2.75,False
+1695,Customer Support,Female,38,Developer,2022-07-07 08:03:05.556036,2,Master,2,6000.0,46,9,2,8,50,3,92,2,2.67,False
+1696,Sales,Female,51,Analyst,2022-09-25 08:03:05.556036,1,PhD,3,5200.0,36,16,5,0,25,8,34,1,3.99,False
+1697,Marketing,Female,37,Consultant,2015-03-06 08:03:05.556036,9,Bachelor,2,6600.0,52,20,27,7,0,15,91,0,4.65,False
+1698,HR,Male,34,Engineer,2024-06-05 08:03:05.556036,0,Bachelor,2,7200.0,58,40,1,3,25,14,6,1,2.31,False
+1699,Finance,Female,37,Engineer,2024-02-10 08:03:05.556036,0,Bachelor,5,9000.0,50,13,0,7,100,13,31,0,4.65,False
+1700,Marketing,Female,50,Analyst,2019-10-17 08:03:05.556036,4,High School,3,5200.0,37,25,19,2,50,3,85,2,3.14,False
+1701,Customer Support,Female,59,Developer,2024-08-01 08:03:05.556036,0,Bachelor,3,6500.0,45,28,23,7,100,10,65,0,2.48,False
+1702,Sales,Male,30,Analyst,2023-03-27 08:03:05.556036,1,Bachelor,4,5600.0,33,17,15,3,100,16,16,0,1.6,False
+1703,Legal,Male,23,Developer,2020-05-15 08:03:05.556036,4,Bachelor,3,6500.0,31,33,13,7,0,2,74,0,1.41,False
+1704,Engineering,Male,34,Technician,2018-12-03 08:03:05.556036,5,Bachelor,4,4900.0,43,44,16,4,50,6,27,2,1.07,False
+1705,Finance,Male,53,Manager,2024-07-27 08:03:05.556036,0,Bachelor,1,6600.0,37,6,9,12,100,12,88,2,4.8,False
+1706,Engineering,Male,31,Manager,2019-11-16 08:03:05.556036,4,Bachelor,1,6600.0,54,39,18,14,50,2,94,2,2.96,True
+1707,Operations,Female,55,Analyst,2018-12-26 08:03:05.556036,5,High School,2,4800.0,56,0,22,14,50,5,1,1,4.95,False
+1708,Legal,Female,55,Specialist,2021-02-07 08:03:05.556036,3,Bachelor,3,5850.0,52,23,11,7,25,7,91,1,1.13,False
+1709,Engineering,Female,31,Developer,2015-06-26 08:03:05.556036,9,High School,5,7500.0,33,36,7,7,0,5,38,0,3.89,False
+1710,Sales,Female,37,Analyst,2021-03-23 08:03:05.556036,3,Bachelor,5,6000.0,36,12,4,9,25,4,83,1,1.46,False
+1711,Operations,Male,23,Developer,2024-06-04 08:03:05.556036,0,High School,2,6000.0,52,9,14,5,75,3,42,2,4.52,False
+1712,Operations,Male,22,Engineer,2016-04-22 08:03:05.556036,8,High School,2,7200.0,32,5,15,8,0,12,12,2,3.2,False
+1713,Marketing,Female,37,Specialist,2021-07-02 08:03:05.556036,3,Bachelor,3,5850.0,54,2,24,7,75,2,49,2,4.88,False
+1714,Marketing,Male,53,Developer,2015-09-09 08:03:05.556036,8,High School,1,5500.0,43,16,13,7,0,15,99,0,1.78,False
+1715,Legal,Male,29,Technician,2021-01-30 08:03:05.556036,3,Bachelor,5,5250.0,59,37,4,3,50,7,31,2,1.99,False
+1716,IT,Female,51,Developer,2018-06-24 08:03:05.556036,6,Bachelor,4,7000.0,48,48,17,8,50,12,64,0,3.05,False
+1717,Engineering,Female,51,Manager,2017-02-20 08:03:05.556036,7,PhD,4,8400.0,48,32,29,9,50,9,99,1,3.55,False
+1718,Operations,Female,31,Engineer,2015-10-11 08:03:05.556036,8,Bachelor,5,9000.0,54,24,29,7,100,4,82,0,3.14,False
+1719,Finance,Male,48,Analyst,2015-04-26 08:03:05.556036,9,Bachelor,4,5600.0,39,7,0,11,50,10,86,2,4.59,False
+1720,Customer Support,Female,40,Manager,2015-09-23 08:03:05.556036,8,Bachelor,5,9000.0,45,14,28,7,100,13,28,1,4.01,False
+1721,Operations,Male,34,Technician,2018-01-30 08:03:05.556036,6,Bachelor,3,4550.0,53,9,20,13,75,17,63,1,1.16,False
+1722,Sales,Female,44,Specialist,2021-09-05 08:03:05.556036,3,Master,2,5400.0,59,21,17,6,25,3,48,0,4.63,False
+1723,Customer Support,Male,40,Developer,2022-04-21 08:03:05.556036,2,Bachelor,3,6500.0,50,38,7,0,100,1,28,0,1.47,True
+1724,Marketing,Female,41,Analyst,2023-02-19 08:03:05.556036,1,Master,3,5200.0,41,35,4,3,50,18,17,0,3.19,False
+1725,Marketing,Female,51,Specialist,2018-03-04 08:03:05.556036,6,High School,1,4950.0,38,31,24,11,75,12,23,0,1.12,False
+1726,Legal,Male,52,Analyst,2020-04-21 08:03:05.556036,4,Master,5,6000.0,60,5,14,13,50,12,24,0,3.76,False
+1727,Sales,Male,26,Analyst,2020-01-28 08:03:05.556036,4,Bachelor,3,5200.0,44,16,9,7,100,13,89,0,1.77,False
+1728,HR,Female,50,Analyst,2021-04-24 08:03:05.556036,3,High School,1,4400.0,60,13,13,1,25,19,69,1,4.39,False
+1729,Legal,Female,39,Analyst,2019-07-25 08:03:05.556036,5,High School,2,4800.0,49,33,4,4,25,5,88,0,3.71,False
+1730,Finance,Female,50,Developer,2015-11-02 08:03:05.556036,8,Bachelor,1,5500.0,52,15,27,10,0,19,13,2,3.33,False
+1731,Marketing,Female,56,Analyst,2018-08-15 08:03:05.556036,6,Bachelor,3,5200.0,59,27,8,2,75,12,28,1,2.86,False
+1732,Engineering,Male,46,Consultant,2021-07-28 08:03:05.556036,3,High School,1,6050.0,56,25,24,12,100,12,0,2,3.09,False
+1733,Operations,Other,47,Analyst,2022-05-25 08:03:05.556036,2,High School,3,5200.0,53,13,27,2,100,15,3,1,4.9,False
+1734,Engineering,Male,59,Developer,2020-09-18 08:03:05.556036,3,Bachelor,1,5500.0,46,10,6,6,75,1,66,0,4.55,False
+1735,IT,Male,55,Consultant,2021-01-18 08:03:05.556036,3,Master,4,7700.0,53,11,27,12,0,13,87,2,4.77,False
+1736,Engineering,Male,52,Technician,2016-01-24 08:03:05.556036,8,Master,2,4200.0,60,28,29,10,0,9,56,1,2.98,False
+1737,Marketing,Female,39,Engineer,2024-03-15 08:03:05.556036,0,Bachelor,3,7800.0,55,19,0,8,50,13,34,1,3.81,False
+1738,Engineering,Female,39,Engineer,2019-06-13 08:03:05.556036,5,Bachelor,5,9000.0,50,34,10,13,25,11,96,1,2.81,False
+1739,HR,Male,31,Developer,2022-01-18 08:03:05.556036,2,Bachelor,2,6000.0,35,1,23,9,25,15,72,0,1.68,False
+1740,Finance,Male,30,Technician,2022-01-29 08:03:05.556036,2,Bachelor,3,4550.0,35,31,0,8,25,12,43,0,1.06,False
+1741,HR,Female,28,Specialist,2022-01-02 08:03:05.556036,2,Bachelor,1,4950.0,40,23,1,14,25,16,63,0,1.94,True
+1742,Legal,Female,40,Consultant,2024-08-28 08:03:05.556036,0,PhD,5,8250.0,57,31,17,1,100,1,52,2,2.27,False
+1743,Customer Support,Male,43,Specialist,2020-10-18 08:03:05.556036,3,High School,3,5850.0,55,41,10,7,100,6,0,0,4.87,False
+1744,Engineering,Male,29,Consultant,2017-05-02 08:03:05.556036,7,Bachelor,2,6600.0,51,5,14,8,75,4,60,0,4.78,False
+1745,Marketing,Male,30,Engineer,2015-08-24 08:03:05.556036,9,Bachelor,5,9000.0,41,48,8,1,75,3,7,2,1.32,False
+1746,Sales,Male,33,Engineer,2017-07-08 08:03:05.556036,7,Bachelor,1,6600.0,54,35,19,2,50,13,55,0,2.54,False
+1747,Customer Support,Other,36,Technician,2021-10-29 08:03:05.556036,2,Master,2,4200.0,47,26,10,11,50,12,54,1,1.9,False
+1748,Customer Support,Female,34,Analyst,2021-06-06 08:03:05.556036,3,Bachelor,3,5200.0,51,47,23,12,75,12,5,0,4.45,False
+1749,Customer Support,Female,58,Developer,2023-11-02 08:03:05.556036,0,High School,5,7500.0,41,30,7,7,25,1,22,0,2.93,False
+1750,Legal,Male,27,Engineer,2020-02-21 08:03:05.556036,4,Bachelor,4,8400.0,48,22,16,7,50,17,62,0,3.08,False
+1751,Finance,Female,49,Analyst,2019-10-06 08:03:05.556036,4,High School,2,4800.0,52,49,24,6,0,3,62,1,4.06,False
+1752,Customer Support,Male,37,Manager,2020-03-11 08:03:05.556036,4,High School,3,7800.0,40,34,1,9,25,12,6,2,1.99,True
+1753,HR,Male,40,Technician,2019-06-27 08:03:05.556036,5,Bachelor,1,3850.0,32,29,25,11,100,13,41,1,4.15,False
+1754,Customer Support,Male,60,Technician,2019-08-18 08:03:05.556036,5,Bachelor,1,3850.0,57,25,17,1,0,4,94,2,3.7,False
+1755,Finance,Male,51,Analyst,2016-09-07 08:03:05.556036,7,High School,2,4800.0,44,34,1,2,75,19,19,1,3.36,False
+1756,Customer Support,Female,58,Technician,2018-01-11 08:03:05.556036,6,Master,5,5250.0,49,37,19,4,50,17,25,1,3.89,False
+1757,Finance,Male,58,Engineer,2015-04-06 08:03:05.556036,9,Bachelor,4,8400.0,41,19,5,6,100,5,72,2,2.81,False
+1758,Sales,Female,59,Engineer,2019-10-21 08:03:05.556036,4,Bachelor,1,6600.0,35,18,19,3,75,15,46,2,1.43,False
+1759,Legal,Female,47,Analyst,2019-03-12 08:03:05.556036,5,Bachelor,3,5200.0,40,3,21,14,100,5,66,1,4.32,False
+1760,Engineering,Male,60,Specialist,2019-03-08 08:03:05.556036,5,Master,2,5400.0,34,40,29,10,100,16,4,2,1.63,False
+1761,Operations,Male,28,Technician,2024-04-01 08:03:05.556036,0,High School,3,4550.0,49,13,29,2,25,18,1,1,2.08,False
+1762,Sales,Male,39,Analyst,2018-12-02 08:03:05.556036,5,Bachelor,3,5200.0,50,0,12,1,25,11,84,1,1.96,False
+1763,Operations,Male,35,Developer,2022-10-26 08:03:05.556036,1,Master,2,6000.0,35,25,9,7,50,16,91,1,1.57,False
+1764,HR,Male,53,Analyst,2023-12-21 08:03:05.556036,0,Master,2,4800.0,43,15,8,3,0,2,18,1,2.38,False
+1765,Finance,Female,37,Manager,2019-02-13 08:03:05.556036,5,PhD,5,9000.0,41,22,0,14,100,12,36,2,1.78,False
+1766,Operations,Female,60,Developer,2023-04-23 08:03:05.556036,1,Bachelor,2,6000.0,39,1,7,10,25,9,71,2,1.11,False
+1767,Customer Support,Female,25,Engineer,2020-03-16 08:03:05.556036,4,Bachelor,3,7800.0,35,17,22,1,0,10,69,1,2.97,False
+1768,Operations,Male,26,Manager,2022-12-22 08:03:05.556036,1,Master,3,7800.0,54,44,6,13,0,15,27,1,4.34,False
+1769,Sales,Male,51,Consultant,2020-02-15 08:03:05.556036,4,Bachelor,2,6600.0,48,36,21,14,0,1,59,1,4.16,False
+1770,Sales,Female,39,Technician,2022-02-26 08:03:05.556036,2,High School,2,4200.0,43,28,18,8,100,12,92,2,2.85,False
+1771,Finance,Female,49,Technician,2023-07-23 08:03:05.556036,1,Bachelor,4,4900.0,42,25,18,12,75,18,36,0,3.79,False
+1772,Customer Support,Female,30,Analyst,2019-07-16 08:03:05.556036,5,Bachelor,4,5600.0,51,27,9,9,25,3,80,2,2.99,False
+1773,Finance,Male,26,Developer,2022-10-16 08:03:05.556036,1,High School,4,7000.0,33,6,21,6,0,7,9,2,1.92,False
+1774,Finance,Male,45,Developer,2022-03-27 08:03:05.556036,2,Master,1,5500.0,43,38,24,6,75,9,32,0,4.43,False
+1775,Marketing,Female,39,Technician,2014-10-18 08:03:05.556036,9,Bachelor,3,4550.0,42,1,25,2,50,1,52,2,1.48,False
+1776,Customer Support,Female,45,Engineer,2020-01-24 08:03:05.556036,4,Bachelor,1,6600.0,50,28,29,0,0,8,4,1,4.22,False
+1777,Engineering,Male,46,Analyst,2016-12-12 08:03:05.556036,7,Bachelor,2,4800.0,33,23,11,14,50,14,85,1,2.1,False
+1778,HR,Female,59,Developer,2023-07-03 08:03:05.556036,1,Master,1,5500.0,41,35,5,3,75,18,51,2,1.53,False
+1779,Legal,Other,52,Analyst,2017-06-18 08:03:05.556036,7,High School,4,5600.0,51,37,8,12,50,2,94,2,3.88,False
+1780,Engineering,Male,42,Developer,2017-11-12 08:03:05.556036,6,Bachelor,5,7500.0,51,17,4,9,50,11,0,1,2.14,False
+1781,Marketing,Male,31,Engineer,2018-11-05 08:03:05.556036,5,High School,5,9000.0,41,21,2,3,25,12,15,1,1.39,True
+1782,Customer Support,Male,25,Specialist,2016-05-28 08:03:05.556036,8,Bachelor,2,5400.0,38,21,10,7,50,19,74,1,3.19,False
+1783,Engineering,Female,40,Analyst,2021-06-09 08:03:05.556036,3,Bachelor,5,6000.0,54,17,24,6,0,9,17,2,3.85,False
+1784,Marketing,Male,59,Manager,2018-06-03 08:03:05.556036,6,High School,3,7800.0,31,29,18,1,25,11,91,0,2.42,False
+1785,Sales,Female,36,Developer,2020-08-04 08:03:05.556036,4,Bachelor,2,6000.0,58,14,11,13,100,11,86,0,1.85,True
+1786,IT,Male,40,Technician,2015-08-19 08:03:05.556036,9,High School,4,4900.0,49,8,24,9,75,13,44,2,3.22,False
+1787,Customer Support,Male,58,Engineer,2024-06-05 08:03:05.556036,0,Master,2,7200.0,47,6,22,5,100,11,42,1,1.13,False
+1788,Operations,Male,59,Engineer,2017-06-23 08:03:05.556036,7,High School,5,9000.0,58,48,14,5,50,3,98,1,3.88,False
+1789,Finance,Female,31,Analyst,2016-09-12 08:03:05.556036,7,Bachelor,4,5600.0,56,0,10,5,25,3,9,1,3.62,False
+1790,Marketing,Female,52,Developer,2023-06-06 08:03:05.556036,1,High School,1,5500.0,35,43,21,11,25,9,41,2,4.37,False
+1791,Marketing,Female,42,Consultant,2017-02-14 08:03:05.556036,7,Bachelor,3,7150.0,58,46,5,3,50,5,37,1,1.39,False
+1792,Engineering,Male,60,Technician,2020-06-06 08:03:05.556036,4,High School,5,5250.0,37,0,27,8,25,3,58,1,4.33,False
+1793,HR,Male,35,Specialist,2015-07-14 08:03:05.556036,9,PhD,1,4950.0,47,22,27,12,0,1,8,1,4.07,False
+1794,Marketing,Female,24,Consultant,2021-03-15 08:03:05.556036,3,High School,3,7150.0,54,32,28,2,25,3,3,0,2.93,False
+1795,Engineering,Other,28,Specialist,2015-12-07 08:03:05.556036,8,Bachelor,4,6300.0,49,49,15,2,25,19,43,2,3.04,False
+1796,Sales,Female,40,Technician,2023-09-23 08:03:05.556036,0,Bachelor,4,4900.0,38,18,14,8,50,10,68,0,1.2,False
+1797,Legal,Female,36,Technician,2021-10-11 08:03:05.556036,2,Bachelor,5,5250.0,35,13,11,1,100,4,83,2,4.79,False
+1798,HR,Male,54,Specialist,2014-09-30 08:03:05.556036,9,High School,2,5400.0,38,49,28,8,0,4,98,1,1.01,False
+1799,Customer Support,Male,39,Technician,2022-05-30 08:03:05.556036,2,Bachelor,4,4900.0,48,15,13,14,0,6,38,0,2.83,False
+1800,IT,Female,34,Consultant,2018-07-24 08:03:05.556036,6,Bachelor,2,6600.0,33,31,21,2,100,13,37,0,2.71,False
+1801,Engineering,Male,51,Engineer,2022-11-28 08:03:05.556036,1,Bachelor,4,8400.0,33,4,26,12,50,12,82,0,4.04,False
+1802,Operations,Female,24,Engineer,2016-04-29 08:03:05.556036,8,High School,4,8400.0,58,18,24,4,50,2,15,1,4.03,False
+1803,Finance,Female,46,Manager,2020-09-15 08:03:05.556036,3,Master,5,9000.0,44,26,21,0,0,17,81,0,2.41,False
+1804,Engineering,Male,56,Developer,2023-04-16 08:03:05.556036,1,Bachelor,3,6500.0,55,14,6,8,75,2,15,0,1.16,False
+1805,Sales,Male,39,Manager,2020-07-04 08:03:05.556036,4,Bachelor,3,7800.0,52,16,16,1,100,2,75,1,1.61,False
+1806,Legal,Female,28,Consultant,2016-04-12 08:03:05.556036,8,Bachelor,5,8250.0,33,12,22,13,50,2,38,1,3.96,True
+1807,Engineering,Male,44,Manager,2018-05-09 08:03:05.556036,6,Master,5,9000.0,32,34,2,0,25,9,29,0,1.4,False
+1808,Engineering,Female,59,Manager,2024-07-04 08:03:05.556036,0,Bachelor,3,7800.0,42,3,3,3,75,15,49,0,2.9,False
+1809,Operations,Male,23,Developer,2019-10-30 08:03:05.556036,4,High School,5,7500.0,58,44,26,11,75,7,52,2,2.41,True
+1810,Sales,Female,39,Technician,2022-01-18 08:03:05.556036,2,Master,1,3850.0,46,45,6,3,50,10,16,2,2.42,False
+1811,Marketing,Male,57,Analyst,2020-02-22 08:03:05.556036,4,High School,3,5200.0,58,23,11,14,0,5,6,2,1.8,False
+1812,Customer Support,Male,42,Engineer,2019-06-04 08:03:05.556036,5,High School,5,9000.0,32,2,11,3,50,18,85,1,1.59,False
+1813,Operations,Female,44,Engineer,2021-12-01 08:03:05.556036,2,Master,1,6600.0,40,45,27,14,25,6,93,2,3.93,False
+1814,Marketing,Female,36,Engineer,2018-04-16 08:03:05.556036,6,High School,2,7200.0,43,49,21,0,75,13,79,1,1.72,False
+1815,Marketing,Female,49,Consultant,2020-04-30 08:03:05.556036,4,Bachelor,1,6050.0,34,22,8,11,75,19,46,0,2.25,False
+1816,Operations,Female,33,Manager,2021-12-11 08:03:05.556036,2,Master,5,9000.0,50,42,6,8,100,5,38,0,3.88,False
+1817,Engineering,Male,40,Developer,2022-08-10 08:03:05.556036,2,PhD,5,7500.0,46,13,10,9,0,15,67,1,2.18,False
+1818,Finance,Female,27,Engineer,2024-05-01 08:03:05.556036,0,Bachelor,1,6600.0,31,17,5,6,100,1,65,0,1.12,False
+1819,Operations,Male,45,Analyst,2020-04-21 08:03:05.556036,4,Bachelor,2,4800.0,44,29,27,1,0,17,62,1,1.93,False
+1820,Legal,Male,27,Engineer,2022-12-13 08:03:05.556036,1,Bachelor,1,6600.0,57,44,17,8,50,6,42,2,4.77,False
+1821,Engineering,Male,32,Engineer,2024-02-09 08:03:05.556036,0,Bachelor,1,6600.0,52,32,28,11,50,17,21,2,2.66,False
+1822,Finance,Male,45,Manager,2016-02-08 08:03:05.556036,8,PhD,5,9000.0,56,30,12,6,25,9,87,0,2.19,False
+1823,Sales,Female,25,Developer,2022-07-17 08:03:05.556036,2,Bachelor,3,6500.0,44,26,3,6,75,7,5,0,1.44,False
+1824,IT,Female,31,Analyst,2016-09-15 08:03:05.556036,7,High School,3,5200.0,38,17,6,5,0,8,57,0,1.99,False
+1825,Operations,Female,60,Technician,2021-06-14 08:03:05.556036,3,Master,1,3850.0,30,29,25,8,50,16,94,0,3.81,False
+1826,Marketing,Female,36,Analyst,2022-05-25 08:03:05.556036,2,Bachelor,2,4800.0,32,10,5,7,25,2,93,1,4.21,False
+1827,Operations,Male,43,Analyst,2023-06-16 08:03:05.556036,1,High School,3,5200.0,51,27,6,8,75,12,19,0,2.88,False
+1828,HR,Male,57,Manager,2020-12-25 08:03:05.556036,3,High School,1,6600.0,33,48,14,13,25,12,86,1,3.24,False
+1829,Sales,Female,35,Consultant,2016-11-24 08:03:05.556036,7,Master,4,7700.0,55,20,18,3,100,13,65,1,2.86,False
+1830,Engineering,Female,36,Specialist,2016-03-02 08:03:05.556036,8,Bachelor,4,6300.0,57,35,1,7,25,11,4,0,2.28,False
+1831,Finance,Female,48,Developer,2024-02-22 08:03:05.556036,0,Master,4,7000.0,41,47,6,11,50,7,0,0,2.14,False
+1832,Operations,Female,24,Developer,2021-07-18 08:03:05.556036,3,Bachelor,4,7000.0,39,3,20,12,50,15,26,0,3.92,False
+1833,Sales,Female,59,Technician,2020-01-20 08:03:05.556036,4,Bachelor,1,3850.0,45,32,2,0,50,5,13,0,3.17,False
+1834,Legal,Male,33,Analyst,2019-11-18 08:03:05.556036,4,Bachelor,5,6000.0,48,16,6,6,25,16,30,1,4.94,False
+1835,Operations,Male,44,Engineer,2016-03-14 08:03:05.556036,8,Bachelor,1,6600.0,37,29,13,7,50,7,96,1,4.13,True
+1836,Marketing,Female,54,Specialist,2019-12-02 08:03:05.556036,4,Bachelor,5,6750.0,50,47,2,14,25,5,74,2,2.89,False
+1837,Finance,Male,52,Engineer,2016-02-18 08:03:05.556036,8,Bachelor,3,7800.0,48,32,0,4,75,5,52,0,1.47,False
+1838,Marketing,Female,54,Specialist,2017-08-20 08:03:05.556036,7,Bachelor,2,5400.0,54,40,9,7,100,3,25,1,4.38,False
+1839,Sales,Male,48,Manager,2016-10-27 08:03:05.556036,7,Bachelor,5,9000.0,51,41,9,5,0,19,2,1,1.92,False
+1840,Marketing,Female,36,Developer,2023-05-01 08:03:05.556036,1,Bachelor,2,6000.0,55,7,20,3,75,11,27,1,2.06,False
+1841,Marketing,Male,48,Consultant,2018-02-23 08:03:05.556036,6,Bachelor,4,7700.0,56,43,16,9,75,14,44,0,2.65,False
+1842,HR,Male,46,Analyst,2017-12-18 08:03:05.556036,6,Bachelor,4,5600.0,47,17,27,0,25,16,97,1,1.9,False
+1843,Customer Support,Male,45,Specialist,2022-01-08 08:03:05.556036,2,Bachelor,2,5400.0,44,21,7,13,25,3,71,0,1.6,False
+1844,Operations,Other,58,Specialist,2017-11-06 08:03:05.556036,6,Master,5,6750.0,37,25,1,13,0,6,64,0,1.63,False
+1845,Marketing,Female,22,Consultant,2017-12-16 08:03:05.556036,6,Master,1,6050.0,56,36,3,11,25,19,72,0,2.31,False
+1846,Sales,Male,26,Consultant,2024-01-18 08:03:05.556036,0,High School,3,7150.0,35,45,10,13,75,19,30,0,2.54,False
+1847,Marketing,Male,48,Analyst,2021-06-20 08:03:05.556036,3,Bachelor,2,4800.0,51,2,1,1,50,9,55,1,1.19,True
+1848,Sales,Female,59,Developer,2018-01-29 08:03:05.556036,6,Bachelor,4,7000.0,39,36,2,2,25,4,13,1,4.46,False
+1849,HR,Female,26,Manager,2021-02-10 08:03:05.556036,3,Master,1,6600.0,58,19,3,12,0,11,15,2,1.25,False
+1850,HR,Male,54,Developer,2024-06-08 08:03:05.556036,0,Bachelor,5,7500.0,38,1,21,6,25,13,16,1,3.11,False
+1851,Finance,Other,49,Specialist,2023-02-23 08:03:05.556036,1,Bachelor,1,4950.0,34,27,25,14,50,16,76,2,2.74,False
+1852,Marketing,Female,52,Developer,2017-02-11 08:03:05.556036,7,PhD,4,7000.0,39,45,24,9,0,1,44,2,1.71,False
+1853,Engineering,Male,23,Specialist,2016-10-31 08:03:05.556036,7,Bachelor,1,4950.0,35,17,21,14,75,10,41,1,1.47,False
+1854,HR,Female,50,Engineer,2023-10-22 08:03:05.556036,0,Master,1,6600.0,30,15,6,10,25,6,49,0,4.0,False
+1855,Legal,Female,29,Analyst,2021-09-26 08:03:05.556036,2,High School,4,5600.0,57,36,6,6,100,8,42,0,1.56,False
+1856,Marketing,Female,53,Technician,2024-07-04 08:03:05.556036,0,Bachelor,2,4200.0,30,8,26,7,50,19,81,2,3.52,True
+1857,Finance,Male,40,Engineer,2022-09-21 08:03:05.556036,1,Bachelor,2,7200.0,36,49,21,12,25,2,2,2,2.71,False
+1858,Marketing,Female,49,Analyst,2020-12-30 08:03:05.556036,3,High School,2,4800.0,49,29,17,10,0,17,68,1,1.98,False
+1859,Operations,Male,30,Technician,2023-02-06 08:03:05.556036,1,Bachelor,1,3850.0,35,43,14,7,25,13,11,2,3.15,False
+1860,Marketing,Female,30,Developer,2015-06-06 08:03:05.556036,9,Master,3,6500.0,59,23,12,1,50,11,68,2,2.06,False
+1861,Engineering,Male,30,Consultant,2020-06-18 08:03:05.556036,4,High School,3,7150.0,48,29,23,14,100,2,13,0,4.02,False
+1862,Finance,Female,25,Technician,2023-08-05 08:03:05.556036,1,Bachelor,3,4550.0,35,32,5,7,100,19,56,2,2.65,True
+1863,IT,Male,26,Analyst,2021-10-24 08:03:05.556036,2,Bachelor,5,6000.0,34,32,16,3,50,19,58,1,2.01,False
+1864,Sales,Male,42,Specialist,2017-02-24 08:03:05.556036,7,Master,3,5850.0,41,49,6,8,25,2,53,2,2.94,False
+1865,Marketing,Female,54,Engineer,2014-10-03 08:03:05.556036,9,Bachelor,5,9000.0,39,44,13,8,75,6,12,0,3.5,False
+1866,Customer Support,Male,48,Consultant,2018-07-07 08:03:05.556036,6,Bachelor,4,7700.0,39,36,7,11,50,17,18,0,2.53,True
+1867,Marketing,Male,25,Developer,2019-01-29 08:03:05.556036,5,Master,2,6000.0,52,37,23,8,100,2,4,2,3.97,False
+1868,Legal,Female,48,Consultant,2019-05-05 08:03:05.556036,5,Bachelor,5,8250.0,52,9,2,14,0,3,24,1,2.13,False
+1869,Finance,Female,44,Consultant,2020-11-14 08:03:05.556036,3,High School,1,6050.0,54,25,4,9,25,11,87,2,2.86,False
+1870,Customer Support,Female,53,Specialist,2021-03-14 08:03:05.556036,3,High School,3,5850.0,41,19,1,5,100,8,42,1,4.35,True
+1871,Customer Support,Female,44,Analyst,2016-11-21 08:03:05.556036,7,Bachelor,1,4400.0,58,25,28,11,0,12,86,1,4.66,False
+1872,Finance,Female,38,Technician,2022-09-08 08:03:05.556036,1,High School,3,4550.0,46,5,13,3,25,19,74,2,2.91,False
+1873,Finance,Female,52,Developer,2022-05-22 08:03:05.556036,2,PhD,3,6500.0,33,46,6,0,75,19,65,1,1.94,False
+1874,Operations,Female,31,Engineer,2024-08-05 08:03:05.556036,0,High School,5,9000.0,52,16,19,7,75,10,6,1,3.78,True
+1875,HR,Female,49,Technician,2020-02-08 08:03:05.556036,4,Bachelor,5,5250.0,53,48,6,0,75,7,30,1,4.73,False
+1876,Finance,Male,22,Developer,2021-12-16 08:03:05.556036,2,High School,2,6000.0,57,0,20,0,75,11,64,0,3.43,False
+1877,Customer Support,Male,42,Specialist,2021-07-31 08:03:05.556036,3,High School,3,5850.0,56,30,27,3,25,10,46,1,2.61,False
+1878,Legal,Male,52,Technician,2023-04-11 08:03:05.556036,1,High School,2,4200.0,38,9,16,13,25,15,9,2,2.32,True
+1879,Operations,Male,55,Manager,2017-05-11 08:03:05.556036,7,Bachelor,4,8400.0,55,47,10,12,25,12,5,1,1.55,False
+1880,Customer Support,Female,41,Consultant,2022-05-09 08:03:05.556036,2,Bachelor,2,6600.0,54,31,6,3,75,5,29,0,1.71,True
+1881,Engineering,Male,39,Consultant,2022-09-02 08:03:05.556036,2,Bachelor,5,8250.0,49,38,6,13,25,5,7,2,4.63,False
+1882,Finance,Male,45,Developer,2023-11-13 08:03:05.556036,0,Bachelor,5,7500.0,52,15,5,8,25,15,60,1,4.64,False
+1883,IT,Male,55,Developer,2024-04-19 08:03:05.556036,0,Bachelor,1,5500.0,40,48,18,4,50,5,56,1,4.33,False
+1884,IT,Female,52,Developer,2023-10-13 08:03:05.556036,0,Bachelor,4,7000.0,39,16,18,5,25,18,78,0,4.71,False
+1885,Sales,Male,22,Specialist,2016-01-05 08:03:05.556036,8,High School,2,5400.0,43,8,4,13,75,15,71,1,3.18,False
+1886,HR,Female,56,Developer,2024-03-09 08:03:05.556036,0,High School,5,7500.0,36,0,16,5,50,5,44,1,3.85,False
+1887,Marketing,Male,56,Engineer,2015-12-16 08:03:05.556036,8,Bachelor,5,9000.0,58,39,18,1,75,17,54,0,4.91,False
+1888,Sales,Other,35,Technician,2022-09-11 08:03:05.556036,1,PhD,3,4550.0,59,17,16,2,0,5,85,2,3.82,False
+1889,Operations,Female,29,Technician,2020-08-10 08:03:05.556036,4,Bachelor,2,4200.0,58,4,6,14,25,4,25,0,4.23,True
+1890,Legal,Male,55,Analyst,2017-05-20 08:03:05.556036,7,Bachelor,2,4800.0,54,36,16,4,25,4,42,2,1.22,True
+1891,Finance,Female,25,Technician,2023-11-24 08:03:05.556036,0,High School,1,3850.0,57,31,2,0,0,8,30,1,3.02,False
+1892,Operations,Other,33,Engineer,2022-08-05 08:03:05.556036,2,Master,5,9000.0,46,33,5,7,50,17,71,1,3.12,False
+1893,Operations,Male,50,Specialist,2017-04-23 08:03:05.556036,7,Master,3,5850.0,44,47,0,2,0,13,1,0,4.26,False
+1894,Marketing,Male,56,Technician,2019-11-15 08:03:05.556036,4,Bachelor,3,4550.0,47,13,9,10,75,18,94,1,3.1,False
+1895,HR,Other,51,Engineer,2017-06-07 08:03:05.556036,7,High School,1,6600.0,54,43,24,13,25,18,4,0,2.33,False
+1896,Legal,Female,28,Developer,2016-05-14 08:03:05.556036,8,Bachelor,2,6000.0,47,14,28,10,50,6,1,1,3.24,False
+1897,Sales,Female,32,Consultant,2020-06-04 08:03:05.556036,4,High School,5,8250.0,53,14,28,7,100,2,69,0,4.89,True
+1898,Engineering,Male,45,Specialist,2024-01-28 08:03:05.556036,0,Bachelor,1,4950.0,43,8,26,12,0,8,69,1,2.17,False
+1899,Engineering,Male,47,Specialist,2019-03-08 08:03:05.556036,5,PhD,5,6750.0,38,38,14,0,75,1,12,2,3.87,True
+1900,Finance,Female,42,Technician,2017-10-15 08:03:05.556036,6,Bachelor,5,5250.0,52,44,18,14,100,7,41,0,4.27,False
+1901,Marketing,Female,40,Specialist,2017-10-16 08:03:05.556036,6,High School,3,5850.0,47,20,29,5,25,11,45,2,1.96,False
+1902,Finance,Male,50,Manager,2020-09-12 08:03:05.556036,3,Master,2,7200.0,52,37,13,13,100,5,98,1,1.35,False
+1903,HR,Female,33,Specialist,2020-04-10 08:03:05.556036,4,High School,5,6750.0,36,37,28,8,0,8,94,0,2.73,False
+1904,IT,Male,45,Technician,2015-11-18 08:03:05.556036,8,High School,5,5250.0,51,24,13,5,50,2,44,0,4.95,False
+1905,Operations,Female,30,Analyst,2019-06-28 08:03:05.556036,5,Master,1,4400.0,50,26,13,10,0,18,18,2,1.27,False
+1906,Finance,Female,46,Technician,2019-11-24 08:03:05.556036,4,Bachelor,4,4900.0,55,27,2,13,75,10,27,0,3.27,False
+1907,Finance,Female,39,Analyst,2023-09-27 08:03:05.556036,0,Bachelor,3,5200.0,55,21,23,8,50,19,84,2,1.92,False
+1908,Finance,Female,44,Manager,2023-07-19 08:03:05.556036,1,Bachelor,2,7200.0,58,25,6,4,25,5,69,0,1.45,False
+1909,Engineering,Female,32,Technician,2020-08-20 08:03:05.556036,4,Bachelor,4,4900.0,46,1,22,1,25,17,87,2,3.95,False
+1910,Finance,Female,43,Technician,2016-10-30 08:03:05.556036,7,Bachelor,1,3850.0,50,9,4,7,50,13,40,1,3.62,False
+1911,Marketing,Male,54,Consultant,2023-06-04 08:03:05.556036,1,High School,5,8250.0,45,8,19,12,25,11,56,2,2.26,False
+1912,Marketing,Male,35,Analyst,2020-02-01 08:03:05.556036,4,PhD,5,6000.0,46,8,20,10,25,19,11,2,1.37,False
+1913,Legal,Male,24,Specialist,2015-07-28 08:03:05.556036,9,High School,4,6300.0,54,3,10,1,0,2,61,0,4.37,False
+1914,Marketing,Female,37,Consultant,2021-11-29 08:03:05.556036,2,Bachelor,3,7150.0,52,0,18,6,25,1,7,0,3.73,True
+1915,IT,Male,43,Developer,2017-09-05 08:03:05.556036,7,High School,5,7500.0,47,12,25,8,50,15,30,0,4.39,True
+1916,Legal,Female,42,Engineer,2020-05-11 08:03:05.556036,4,Bachelor,1,6600.0,37,26,2,6,50,16,64,0,3.32,False
+1917,Sales,Female,31,Engineer,2018-02-23 08:03:05.556036,6,High School,3,7800.0,48,20,17,8,100,9,9,0,3.1,False
+1918,Marketing,Male,58,Specialist,2024-07-27 08:03:05.556036,0,Bachelor,3,5850.0,50,1,20,8,100,14,12,2,4.44,False
+1919,Sales,Female,38,Consultant,2017-09-05 08:03:05.556036,7,High School,5,8250.0,51,18,0,0,50,14,76,2,1.68,False
+1920,HR,Male,50,Engineer,2015-02-05 08:03:05.556036,9,High School,1,6600.0,52,12,29,8,50,11,12,2,4.33,False
+1921,IT,Male,41,Consultant,2014-10-22 08:03:05.556036,9,PhD,2,6600.0,51,3,21,6,75,6,86,2,4.6,False
+1922,Finance,Other,27,Consultant,2023-02-15 08:03:05.556036,1,Master,5,8250.0,38,27,14,11,75,12,86,1,2.38,False
+1923,HR,Female,49,Developer,2016-06-11 08:03:05.556036,8,Master,4,7000.0,33,17,16,1,75,7,32,0,1.91,True
+1924,Operations,Female,35,Technician,2016-09-24 08:03:05.556036,7,Bachelor,2,4200.0,37,23,17,10,0,10,25,2,1.68,False
+1925,Marketing,Female,40,Consultant,2020-02-06 08:03:05.556036,4,PhD,3,7150.0,32,43,3,9,75,17,80,0,1.14,False
+1926,Engineering,Male,30,Specialist,2015-02-14 08:03:05.556036,9,High School,2,5400.0,54,44,9,0,0,19,20,2,4.32,False
+1927,Engineering,Female,57,Manager,2014-10-24 08:03:05.556036,9,High School,2,7200.0,57,20,21,11,100,8,55,1,4.75,False
+1928,Operations,Male,28,Consultant,2017-06-20 08:03:05.556036,7,High School,2,6600.0,43,34,4,0,75,4,29,1,4.81,False
+1929,HR,Male,31,Manager,2016-04-01 08:03:05.556036,8,High School,1,6600.0,32,0,26,13,50,1,79,0,3.61,False
+1930,Finance,Other,22,Specialist,2022-05-14 08:03:05.556036,2,Bachelor,1,4950.0,43,44,25,4,100,11,97,0,1.9,False
+1931,Marketing,Female,28,Developer,2023-07-20 08:03:05.556036,1,Bachelor,5,7500.0,51,7,26,0,0,19,40,0,2.68,False
+1932,Engineering,Female,42,Technician,2020-11-05 08:03:05.556036,3,Bachelor,3,4550.0,49,30,23,0,0,1,32,1,2.58,False
+1933,IT,Male,35,Consultant,2017-08-08 08:03:05.556036,7,Bachelor,5,8250.0,51,8,23,6,50,6,97,0,1.9,False
+1934,Customer Support,Male,51,Developer,2021-03-25 08:03:05.556036,3,High School,2,6000.0,41,43,26,4,50,11,36,1,1.15,False
+1935,Customer Support,Male,32,Manager,2019-02-10 08:03:05.556036,5,Bachelor,5,9000.0,40,34,15,14,0,16,58,0,2.81,False
+1936,Engineering,Female,35,Specialist,2015-02-16 08:03:05.556036,9,High School,1,4950.0,59,17,20,0,100,6,90,2,2.66,False
+1937,IT,Female,33,Technician,2022-03-01 08:03:05.556036,2,Bachelor,2,4200.0,55,19,7,5,0,13,78,0,3.54,False
+1938,Engineering,Male,50,Specialist,2016-09-03 08:03:05.556036,8,Bachelor,1,4950.0,56,5,9,8,100,6,64,2,3.0,False
+1939,Sales,Other,51,Consultant,2024-02-22 08:03:05.556036,0,Bachelor,4,7700.0,53,18,21,11,75,19,85,1,1.63,False
+1940,Legal,Male,59,Manager,2024-07-06 08:03:05.556036,0,Bachelor,2,7200.0,50,31,20,6,25,4,3,1,4.3,False
+1941,Sales,Female,52,Engineer,2023-06-15 08:03:05.556036,1,Bachelor,5,9000.0,46,15,26,11,75,9,80,0,4.94,True
+1942,HR,Female,22,Technician,2021-08-23 08:03:05.556036,3,High School,4,4900.0,42,11,8,0,25,11,42,2,2.71,True
+1943,HR,Female,39,Technician,2021-02-14 08:03:05.556036,3,Master,3,4550.0,31,28,7,14,25,14,64,2,1.73,True
+1944,Finance,Male,44,Manager,2015-12-10 08:03:05.556036,8,Master,3,7800.0,51,24,2,9,100,19,64,0,4.61,False
+1945,HR,Male,51,Analyst,2014-10-15 08:03:05.556036,9,Bachelor,3,5200.0,54,19,19,14,100,12,60,0,1.88,True
+1946,Customer Support,Male,29,Analyst,2022-07-30 08:03:05.556036,2,Bachelor,2,4800.0,55,24,29,3,100,6,16,2,2.19,False
+1947,IT,Female,47,Consultant,2015-07-26 08:03:05.556036,9,High School,5,8250.0,53,9,3,6,100,17,84,2,3.32,False
+1948,Legal,Female,30,Analyst,2018-12-18 08:03:05.556036,5,Bachelor,1,4400.0,43,11,17,5,25,19,39,2,4.19,False
+1949,IT,Male,44,Developer,2023-04-07 08:03:05.556036,1,Bachelor,2,6000.0,45,16,28,4,75,12,14,2,2.1,True
+1950,Marketing,Female,34,Engineer,2024-06-04 08:03:05.556036,0,Bachelor,5,9000.0,55,3,1,3,0,15,9,2,2.1,False
+1951,Engineering,Female,35,Technician,2018-11-12 08:03:05.556036,5,High School,4,4900.0,46,8,10,1,100,8,93,1,1.27,False
+1952,HR,Male,52,Engineer,2016-09-23 08:03:05.556036,7,Master,5,9000.0,49,25,13,4,50,1,88,1,2.17,False
+1953,HR,Female,37,Manager,2016-02-19 08:03:05.556036,8,Bachelor,4,8400.0,34,33,22,1,25,15,4,2,3.81,False
+1954,Operations,Male,48,Technician,2016-09-28 08:03:05.556036,7,Bachelor,3,4550.0,31,24,27,8,100,18,25,2,1.59,False
+1955,Legal,Male,55,Engineer,2016-12-25 08:03:05.556036,7,High School,2,7200.0,34,2,10,14,0,7,75,1,2.53,False
+1956,Operations,Male,43,Specialist,2022-08-03 08:03:05.556036,2,Bachelor,2,5400.0,43,8,22,9,25,17,20,0,3.74,False
+1957,IT,Female,25,Developer,2022-12-31 08:03:05.556036,1,Bachelor,1,5500.0,30,16,20,1,100,6,33,0,3.73,False
+1958,Legal,Male,43,Analyst,2019-11-13 08:03:05.556036,4,PhD,4,5600.0,35,39,29,9,25,10,74,2,1.8,False
+1959,Engineering,Female,46,Engineer,2019-03-27 08:03:05.556036,5,Bachelor,3,7800.0,50,33,18,8,75,14,19,0,2.1,True
+1960,Engineering,Female,39,Developer,2019-04-17 08:03:05.556036,5,Bachelor,1,5500.0,34,10,19,1,0,18,38,2,3.82,False
+1961,Operations,Male,51,Analyst,2023-04-17 08:03:05.556036,1,High School,2,4800.0,35,4,6,11,0,12,90,2,1.54,False
+1962,Sales,Female,33,Engineer,2016-03-04 08:03:05.556036,8,Master,2,7200.0,49,29,3,11,25,13,42,0,3.62,False
+1963,Sales,Male,52,Consultant,2022-08-18 08:03:05.556036,2,PhD,1,6050.0,38,12,19,9,0,18,53,0,3.63,False
+1964,Legal,Male,43,Analyst,2019-08-25 08:03:05.556036,5,Bachelor,3,5200.0,45,11,26,13,100,5,81,1,1.9,False
+1965,Sales,Female,33,Specialist,2018-12-15 08:03:05.556036,5,Master,5,6750.0,57,20,21,7,25,19,8,0,1.22,False
+1966,Finance,Male,35,Developer,2015-08-07 08:03:05.556036,9,High School,5,7500.0,52,18,12,0,75,10,65,2,4.25,True
+1967,Legal,Male,55,Engineer,2019-07-25 08:03:05.556036,5,Bachelor,1,6600.0,56,19,20,13,100,18,52,2,2.67,False
+1968,Finance,Male,23,Developer,2018-03-19 08:03:05.556036,6,Bachelor,2,6000.0,30,16,2,7,25,19,89,2,4.8,False
+1969,Operations,Male,49,Technician,2023-02-21 08:03:05.556036,1,Master,3,4550.0,40,11,22,6,100,3,47,1,2.54,False
+1970,Finance,Female,35,Manager,2015-05-29 08:03:05.556036,9,Bachelor,4,8400.0,40,34,29,2,25,11,21,0,4.02,True
+1971,Marketing,Female,31,Manager,2016-06-10 08:03:05.556036,8,High School,4,8400.0,49,22,25,8,100,15,99,0,4.87,False
+1972,HR,Male,52,Consultant,2016-08-31 08:03:05.556036,8,High School,1,6050.0,53,34,23,5,50,3,30,0,1.49,False
+1973,Marketing,Female,43,Technician,2019-08-24 08:03:05.556036,5,Master,4,4900.0,30,1,22,14,75,6,31,2,3.96,False
+1974,Engineering,Female,45,Technician,2017-11-22 08:03:05.556036,6,Bachelor,4,4900.0,51,45,11,3,50,5,91,1,2.92,False
+1975,Marketing,Female,30,Developer,2017-03-28 08:03:05.556036,7,High School,2,6000.0,32,47,29,7,100,16,82,2,2.74,False
+1976,Legal,Male,43,Technician,2018-05-01 08:03:05.556036,6,Master,4,4900.0,32,1,8,0,75,15,46,0,1.77,False
+1977,Finance,Female,55,Specialist,2015-08-04 08:03:05.556036,9,High School,1,4950.0,60,14,20,12,100,10,87,0,2.99,False
+1978,Sales,Male,42,Consultant,2019-05-24 08:03:05.556036,5,Bachelor,1,6050.0,30,44,23,8,25,3,74,2,1.65,False
+1979,Engineering,Female,53,Analyst,2022-10-20 08:03:05.556036,1,High School,4,5600.0,51,48,4,1,100,2,10,2,1.79,True
+1980,Engineering,Female,25,Consultant,2017-06-07 08:03:05.556036,7,Bachelor,1,6050.0,42,18,17,7,25,9,33,2,1.61,False
+1981,HR,Female,52,Manager,2014-10-30 08:03:05.556036,9,Bachelor,4,8400.0,57,47,17,1,100,16,89,2,2.81,False
+1982,Engineering,Male,33,Manager,2017-10-01 08:03:05.556036,6,High School,5,9000.0,40,2,14,12,50,11,16,0,1.63,False
+1983,IT,Female,56,Manager,2017-01-20 08:03:05.556036,7,Bachelor,5,9000.0,31,15,8,7,100,8,22,1,3.83,False
+1984,Finance,Female,28,Manager,2019-09-02 08:03:05.556036,5,High School,5,9000.0,51,47,9,0,75,4,23,0,3.63,False
+1985,Marketing,Male,49,Engineer,2023-05-05 08:03:05.556036,1,Bachelor,5,9000.0,31,16,4,13,50,4,12,1,4.51,False
+1986,IT,Female,49,Developer,2021-11-02 08:03:05.556036,2,Bachelor,5,7500.0,34,11,8,5,50,11,27,0,4.19,False
+1987,Legal,Male,28,Specialist,2016-05-28 08:03:05.556036,8,High School,3,5850.0,41,34,4,14,50,18,33,1,1.14,True
+1988,Customer Support,Female,24,Technician,2021-06-29 08:03:05.556036,3,High School,4,4900.0,54,36,8,4,0,1,75,1,3.83,False
+1989,Sales,Male,43,Technician,2023-05-14 08:03:05.556036,1,Bachelor,1,3850.0,50,5,8,13,50,5,98,0,1.07,False
+1990,Operations,Male,45,Consultant,2017-05-24 08:03:05.556036,7,High School,1,6050.0,35,12,7,7,100,13,75,2,4.18,False
+1991,Operations,Male,38,Technician,2015-12-19 08:03:05.556036,8,High School,4,4900.0,58,48,17,1,50,17,89,0,2.49,False
+1992,IT,Female,26,Specialist,2018-04-03 08:03:05.556036,6,Bachelor,2,5400.0,50,27,28,13,25,19,77,2,2.53,True
+1993,Operations,Male,45,Analyst,2017-04-28 08:03:05.556036,7,Bachelor,5,6000.0,50,3,22,2,75,17,34,0,1.44,False
+1994,Legal,Female,44,Developer,2021-05-16 08:03:05.556036,3,Master,5,7500.0,36,3,12,8,100,13,50,1,1.01,False
+1995,Marketing,Female,55,Manager,2018-04-09 08:03:05.556036,6,High School,4,8400.0,43,48,24,6,50,10,95,0,1.27,False
+1996,Legal,Female,41,Specialist,2020-06-23 08:03:05.556036,4,Bachelor,2,5400.0,37,5,24,5,100,13,32,0,3.56,False
+1997,Customer Support,Female,37,Technician,2022-12-16 08:03:05.556036,1,Bachelor,4,4900.0,42,41,24,7,100,8,61,0,2.03,False
+1998,Customer Support,Female,44,Specialist,2021-05-12 08:03:05.556036,3,Bachelor,2,5400.0,34,17,18,14,25,4,46,0,1.06,False
+1999,Customer Support,Male,38,Technician,2017-04-10 08:03:05.556036,7,Bachelor,2,4200.0,41,35,8,10,0,14,70,2,3.82,False
diff --git a/python-code.py b/python-code.py
new file mode 100644
index 0000000..11a6e67
--- /dev/null
+++ b/python-code.py
@@ -0,0 +1,173 @@
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+
+
+# Load the data set
+employee = pd.read_csv("dataset\employee.csv")
+
+
+
+# 1. EXPLORATORY DATA ANALYSIS
+
+# Display the first few rows
+employee.head()
+
+# Display basic info
+employee.describe()
+employee.shape
+employee.info()
+employee.columns = employee.columns.str.strip()
+
+
+
+# Visualization
+
+# Plotting 'Monthly Salary'
+
+""" Salaries are relatively normally distributed, with a peak around $6500. """
+
+plt.figure(figsize=(10, 6))
+plt.hist(employee['Monthly_Salary'], bins=20, color='skyblue', edgecolor='black')
+plt.title('Distribution of Monthly Salary')
+plt.xlabel('Monthly Salary')
+plt.ylabel('People')
+plt.show()
+
+# Plotting 'Years at company'
+
+""" The majority of employees have been with the company for 6 to 10 years. """
+
+bins = [0, 2, 5, 10, 20]
+labels = ['0-2', '3-5', '6-10', '10+']
+employee['Years_Range'] = pd.cut(employee['Years_At_Company'], bins=bins, labels=labels)
+employee['Years_Range'].value_counts().plot.pie(autopct='%1.1f%%')
+plt.title('Proportion of Employees by Years at Company')
+plt.show()
+
+
+
+# 2. DATA QUALITY ANALYSIS
+
+# Searching for missing values in the Data Frame
+missing_values = pd.isnull(employee)
+missing_values
+
+# Count missing values in each column
+missing_counts = missing_values.sum()
+print(f"Missing values in each column: {missing_counts}")
+
+#Number of columns with missing values
+columns_with_missing = missing_counts[missing_counts > 0].count()
+print(f"Number of columns with missing values: {columns_with_missing}")
+
+# Have all the columns values that are missing?
+all_columns_missing = missing_counts.all()
+print(f"All columns have missing values: {all_columns_missing}")
+
+# Calculate the total number of missing values
+total_missing_values = missing_counts.sum()
+print(f"Total missing values in the Data Frame: {total_missing_values}")
+
+# Clean DataFrame from duplicates
+employee.drop_duplicates(inplace=True)
+
+
+
+# 3. CREATE DATABASE AND UPLOAD TO MYSQL
+!pip install pymysql
+!pip install cryptography
+
+# Step 1: Establish a connection to MySQL
+import pymysql
+
+cnx = pymysql.connect(user='root', password='Vidondo6699',
+                      host='localhost')
+
+if cnx.open:
+    print("Connection open")
+else:
+    print("Connection is not successfully open")
+
+# Step 2: Create a cursor object to execute SQL queries
+cursor = cnx.cursor()
+
+# Step 3: Create a new database
+query = "CREATE DATABASE IF NOT EXISTS employee_productivity"
+cursor.execute(query)
+
+# Step 4: Confirm the database is created
+cursor.execute("SHOW DATABASES")
+for db in cursor:
+    print(db)
+
+# Step 5: Select to use the new database
+query = "USE employee_productivity"
+cursor.execute(query)
+
+# Step 6: Write the SQL query to create a table
+query = """CREATE TABLE IF NOT EXISTS employee (
+        Employee_Id INT PRIMARY KEY,
+        Gender VARCHAR(20),
+        Age INT,
+        Department VARCHAR(255),
+        Job_Title VARCHAR(255),
+        Hire_Date DATE,
+        Years_At_Company INT,
+        Education_Level VARCHAR(255)
+        )"""
+
+cursor.execute(query)
+
+# Create another table
+query = """CREATE TABLE IF NOT EXISTS seniority (
+        Seniority_ID INT AUTO_INCREMENT PRIMARY KEY,
+        Employee_ID INT,
+        Performance_Score INT,
+        Work_Hours_Per_Week INT,
+        Overtime_Hours INT,
+        Projects_Handled INT,
+        Promotions INT,
+        FOREIGN KEY (Employee_ID) REFERENCES employee(Employee_ID)
+        )"""
+
+cursor.execute(query)
+
+# Add a column to an existing table
+query = """ALTER TABLE seniority
+        ADD COLUMN Monthly_Salary DECIMAL(10, 2);
+        """
+
+cursor.execute(query)
+
+# Create one more table
+query = """CREATE TABLE IF NOT EXISTS satisfaction (
+        Satisfaction_ID INT AUTO_INCREMENT PRIMARY KEY,
+        Employee_ID INT,
+        Employee_Satisfaction_Score DECIMAL(3, 2),
+        Sick_Days INT,
+        Remote_Work_Frequency INT,
+        Team_Size INT,
+        Training_Hours INT,
+        Resigned BOOLEAN,
+        FOREIGN KEY (Employee_ID) REFERENCES employee(Employee_ID)
+        )"""
+
+cursor.execute(query)
+
+# Step 7: Confirm the tables have been created
+cursor.execute("SHOW TABLES")
+for table in cursor:
+    print(table)
+
+# Step 8: Comit and close the connection
+""" The Python Wrapper for MSQL has generated changes to the database which must now be committed. It's like "Saving" the changes made """
+cnx.commit()
+
+""" The cursor object has done it's job """
+cursor.close()
+
+""" and we now close the connection, you must always do this (good practice) or else the database might not be responsive to other connections. """
+cnx.close()