Data_Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data Analysis\n",
    "import pandas as pd  #Pandas Dataframe/Series\n",
    "import numpy as np  #Linear algebra\n",
    "\n",
    "# Import and suppress warnings\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# visualization\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "%matplotlib inline\n",
    "from pylab import rcParams\n",
    "\n",
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>EmployeeID</th>\n",
       "      <th>TotalWorkingHours</th>\n",
       "      <th>Billable_Hours</th>\n",
       "      <th>Hours_off_Duty</th>\n",
       "      <th>Touring_Hours</th>\n",
       "      <th>NoOfProjects</th>\n",
       "      <th>ActualTimeSpent</th>\n",
       "      <th>Job_History</th>\n",
       "      <th>Joining_Date</th>\n",
       "      <th>Designation</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Total_Experience</th>\n",
       "      <th>Left_Company</th>\n",
       "      <th>source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>emp-1</td>\n",
       "      <td>3424.0</td>\n",
       "      <td>2462.0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>2462.0</td>\n",
       "      <td>42</td>\n",
       "      <td>2849</td>\n",
       "      <td>Worked at Company - 639 , Company - 212 , Comp...</td>\n",
       "      <td>2011_01</td>\n",
       "      <td>MD</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>emp-10</td>\n",
       "      <td>2006.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>691.0</td>\n",
       "      <td>13</td>\n",
       "      <td>616</td>\n",
       "      <td>Worked at Company - 816 , Company - 724 , Comp...</td>\n",
       "      <td>2006_02</td>\n",
       "      <td>VP</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>emp-100</td>\n",
       "      <td>3607.0</td>\n",
       "      <td>3275.0</td>\n",
       "      <td>224.0</td>\n",
       "      <td>3235.0</td>\n",
       "      <td>23</td>\n",
       "      <td>3388</td>\n",
       "      <td>Worked at Company - 562 , Company - 319</td>\n",
       "      <td>2011_12</td>\n",
       "      <td>Senior</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>train</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index EmployeeID  TotalWorkingHours  Billable_Hours  Hours_off_Duty  \\\n",
       "0      0      emp-1             3424.0          2462.0           408.0   \n",
       "1      1     emp-10             2006.0          1274.0           328.0   \n",
       "2      2    emp-100             3607.0          3275.0           224.0   \n",
       "\n",
       "   Touring_Hours  NoOfProjects  ActualTimeSpent  \\\n",
       "0         2462.0            42             2849   \n",
       "1          691.0            13              616   \n",
       "2         3235.0            23             3388   \n",
       "\n",
       "                                         Job_History Joining_Date Designation  \\\n",
       "0  Worked at Company - 639 , Company - 212 , Comp...      2011_01          MD   \n",
       "1  Worked at Company - 816 , Company - 724 , Comp...      2006_02          VP   \n",
       "2            Worked at Company - 562 , Company - 319      2011_12      Senior   \n",
       "\n",
       "   Sex  Total_Experience  Left_Company source  \n",
       "0    1                 3           0.0  train  \n",
       "1    0                 4           1.0  train  \n",
       "2    1                 2           0.0  train  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show First 5 records\n",
    "data = pd.read_csv('Employee_Attrition.csv')\n",
    "data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a new column as 'Gender' for distribution of Categorical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Gender'] = np.where((data['Sex']==0),'Male','Female')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Renaming the entries as 'Yes' or 'No' in the column  'Left_Company'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Left_Company'] = np.where((data['Left_Company']==0.0),'No','Yes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Distribution of dataset: The first step is to check the distribution of each Categorical and Numerical feature variables, so that we can get insights of the employee details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>TotalWorkingHours</th>\n",
       "      <th>Billable_Hours</th>\n",
       "      <th>Hours_off_Duty</th>\n",
       "      <th>Touring_Hours</th>\n",
       "      <th>NoOfProjects</th>\n",
       "      <th>ActualTimeSpent</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Total_Experience</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>296.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>105.287162</td>\n",
       "      <td>3086.671959</td>\n",
       "      <td>2138.057770</td>\n",
       "      <td>268.919595</td>\n",
       "      <td>1068.882432</td>\n",
       "      <td>21.006757</td>\n",
       "      <td>1560.858108</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>2.793919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>74.417981</td>\n",
       "      <td>1395.801239</td>\n",
       "      <td>1165.789357</td>\n",
       "      <td>152.697278</td>\n",
       "      <td>1076.220867</td>\n",
       "      <td>13.011076</td>\n",
       "      <td>1084.174787</td>\n",
       "      <td>0.331279</td>\n",
       "      <td>1.461864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>36.750000</td>\n",
       "      <td>1822.000000</td>\n",
       "      <td>1101.250000</td>\n",
       "      <td>145.125000</td>\n",
       "      <td>80.375000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>695.750000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>96.500000</td>\n",
       "      <td>3299.500000</td>\n",
       "      <td>2168.850000</td>\n",
       "      <td>272.000000</td>\n",
       "      <td>728.500000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1477.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>170.250000</td>\n",
       "      <td>4250.250000</td>\n",
       "      <td>3246.000000</td>\n",
       "      <td>392.000000</td>\n",
       "      <td>1752.475000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>2406.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>244.000000</td>\n",
       "      <td>5406.900000</td>\n",
       "      <td>4285.500000</td>\n",
       "      <td>859.000000</td>\n",
       "      <td>3857.000000</td>\n",
       "      <td>83.000000</td>\n",
       "      <td>4113.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "            index  TotalWorkingHours  Billable_Hours  Hours_off_Duty  \\\n",
       "count  296.000000         296.000000      296.000000      296.000000   \n",
       "mean   105.287162        3086.671959     2138.057770      268.919595   \n",
       "std     74.417981        1395.801239     1165.789357      152.697278   \n",
       "min      0.000000          90.000000       -2.000000        0.000000   \n",
       "25%     36.750000        1822.000000     1101.250000      145.125000   \n",
       "50%     96.500000        3299.500000     2168.850000      272.000000   \n",
       "75%    170.250000        4250.250000     3246.000000      392.000000   \n",
       "max    244.000000        5406.900000     4285.500000      859.000000   \n",
       "\n",
       "       Touring_Hours  NoOfProjects  ActualTimeSpent         Sex  \\\n",
       "count     296.000000    296.000000       296.000000  296.000000   \n",
       "mean     1068.882432     21.006757      1560.858108    0.875000   \n",
       "std      1076.220867     13.011076      1084.174787    0.331279   \n",
       "min         0.000000      0.000000         0.000000    0.000000   \n",
       "25%        80.375000     11.000000       695.750000    1.000000   \n",
       "50%       728.500000     20.000000      1477.000000    1.000000   \n",
       "75%      1752.475000     28.000000      2406.500000    1.000000   \n",
       "max      3857.000000     83.000000      4113.000000    1.000000   \n",
       "\n",
       "       Total_Experience  \n",
       "count        296.000000  \n",
       "mean           2.793919  \n",
       "std            1.461864  \n",
       "min            1.000000  \n",
       "25%            2.000000  \n",
       "50%            3.000000  \n",
       "75%            4.000000  \n",
       "max            7.000000  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Description of Numerical data\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EmployeeID</th>\n",
       "      <th>Job_History</th>\n",
       "      <th>Joining_Date</th>\n",
       "      <th>Designation</th>\n",
       "      <th>Left_Company</th>\n",
       "      <th>source</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>296</td>\n",
       "      <td>296</td>\n",
       "      <td>296</td>\n",
       "      <td>296</td>\n",
       "      <td>296</td>\n",
       "      <td>296</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>296</td>\n",
       "      <td>295</td>\n",
       "      <td>61</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>emp-84</td>\n",
       "      <td>Worked at Company - 616</td>\n",
       "      <td>2012_05</td>\n",
       "      <td>Junior</td>\n",
       "      <td>No</td>\n",
       "      <td>train</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>89</td>\n",
       "      <td>218</td>\n",
       "      <td>245</td>\n",
       "      <td>259</td>\n",
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      "text/plain": [
       "       EmployeeID              Job_History Joining_Date Designation  \\\n",
       "count         296                      296          296         296   \n",
       "unique        296                      295           61           5   \n",
       "top        emp-84  Worked at Company - 616      2012_05      Junior   \n",
       "freq            1                        2           19          89   \n",
       "\n",
       "       Left_Company source  Gender  \n",
       "count           296    296     296  \n",
       "unique            2      2       2  \n",
       "top              No  train  Female  \n",
       "freq            218    245     259  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Description of Categorical data\n",
    "data.describe(include='O')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of Employee Number of projects:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Distribution')"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
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\n",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['figure.figsize'] = 20, 5\n",
    "NoOfProject_count = data.NoOfProjects.value_counts()\n",
    "\n",
    "sb.set(style=\"darkgrid\")\n",
    "sb.barplot(NoOfProject_count.index, NoOfProject_count.values, alpha=0.9)\n",
    "plt.xticks(rotation=40, fontsize=15)\n",
    "plt.title('Distribution of Employee Number of projects',fontsize=15)\n",
    "plt.xlabel('Employee Number of projects', fontsize=15)\n",
    "plt.ylabel('Distribution', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of Employee Total Expereince:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Distribution')"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['figure.figsize'] = 20, 5\n",
    "Total_Experience_count = data.Total_Experience.value_counts()\n",
    "\n",
    "sb.set(style=\"darkgrid\")\n",
    "sb.barplot(Total_Experience_count.index, Total_Experience_count.values, alpha=0.9)\n",
    "plt.xticks(fontsize=15)\n",
    "plt.title('Distribution of Employee Total Experience',fontsize=15)\n",
    "plt.xlabel('Employee Total Experience', fontsize=15)\n",
    "plt.ylabel('Distribution', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box plot for TotalWorkingHours, Billable_Hours, Hours_off_Duty, Touring_Hours, ActualTimeSpent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Distribution')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['figure.figsize'] = 20, 10\n",
    "\n",
    "columns = ['TotalWorkingHours','Billable_Hours','Hours_off_Duty','Touring_Hours','ActualTimeSpent']\n",
    "data[columns].plot.box()\n",
    "plt.xticks(fontsize=13)\n",
    "\n",
    "plt.title('Distribution of TotalWorkingHours, Billable_Hours, Hours_off_Duty, Touring_Hours, ActualTimeSpent',fontsize=15)\n",
    "plt.ylabel('Distribution', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of Employee Gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Distribution')"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['figure.figsize'] = 5, 3\n",
    "EmpGender_count = data.Gender.value_counts()\n",
    "EmpGender_Percentage = round(EmpGender_count / data.Gender.count() * 100)\n",
    "EmpGender_Percentage1 = EmpGender_Percentage.sort_values(ascending=False)\n",
    "\n",
    "sb.set(style=\"darkgrid\")\n",
    "sb.barplot(EmpGender_count.index, EmpGender_count.values, dodge=False ,alpha=0.9,hue=EmpGender_Percentage,hue_order=EmpGender_Percentage1)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.title('Distribution of Employee Gender',fontsize=15)\n",
    "plt.xlabel('Employee Gender', fontsize=15)\n",
    "plt.ylabel('Distribution', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Distribution of Employee Designation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Distribution')"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rcParams['figure.figsize'] = 10, 3\n",
    "EmpDesignation_count = data.Designation.value_counts()\n",
    "EmpDesignation_Percentage = round(EmpDesignation_count / data.Designation.count() * 100)\n",
    "EmpDesignation_Percentage1 = EmpDesignation_Percentage.sort_values(ascending=False)\n",
    "\n",
    "sb.set(style=\"darkgrid\")\n",
    "sb.barplot(EmpDesignation_count.index, EmpDesignation_count.values, dodge=False ,alpha=0.9,hue=EmpDesignation_Percentage,hue_order=EmpDesignation_Percentage1)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.title('Distribution of Employee Designation',fontsize=15)\n",
    "plt.xlabel('Employee Designation', fontsize=15)\n",
    "plt.ylabel('Distribution', fontsize=15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Designation wise Employee attrition:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "Data_Junior = data[data['Designation'] == 'Junior']\n",
    "Data_VP = data[data['Designation'] == 'VP']\n",
    "Data_Senior = data[data['Designation'] == 'Senior']\n",
    "Data_EVP = data[data['Designation'] == 'EVP']\n",
    "Data_MD = data[data['Designation'] == 'MD']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "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>Left_Company</th>\n",
       "      <th>No</th>\n",
       "      <th>Yes</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Designation</th>\n",
       "      <th>Gender</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">EVP</th>\n",
       "      <th>Female</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Junior</th>\n",
       "      <th>Female</th>\n",
       "      <td>58</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MD</th>\n",
       "      <th>Female</th>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Senior</th>\n",
       "      <th>Female</th>\n",
       "      <td>53</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">VP</th>\n",
       "      <th>Female</th>\n",
       "      <td>47</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Left_Company        No  Yes\n",
       "Designation Gender         \n",
       "EVP         Female  26    8\n",
       "            Male     1    1\n",
       "Junior      Female  58   15\n",
       "            Male    11    5\n",
       "MD          Female  10    3\n",
       "Senior      Female  53   14\n",
       "            Male     5    3\n",
       "VP          Female  47   25\n",
       "            Male     7    4"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_desg = data.groupby(['Designation', 'Gender','Left_Company'])['Designation'].count().unstack('Left_Company').fillna(0)\n",
    "data_desg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Distribution')"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_desg[['No','Yes']].plot(kind='bar', stacked=True, figsize =(17,7))\n",
    "plt.xticks(rotation = 0,fontsize=13)\n",
    "plt.title('Distribution Designation wise Performance',fontsize=15)\n",
    "plt.xlabel('Employee Designation', fontsize=15)\n",
    "plt.ylabel('Distribution', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### In above plot, among all the designations, majority of female candidates are leaving the company"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Designation 'Junior'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Attrition based on Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours, NoOfProjects, ActualTimeSpent, Total_Experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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v3p3trNhixYrpnXfe0VdffaXo6GgdPnw421lcN+p6l5AMHjxYnTp10s8//6xPP/3U8d7P29tbrVq1knT1zLaxY8fq6NGj+vrrr/XLL78oNDRUkmS327O9r3vyySdzPMf+/fuVkJCgAQMGOMZcXV3122+/SZKqVavm6KdVqlTRN998I+nqPG1/XIZz7733atOmTZKkb775Rr/88otWrlwp6Wqf/d+zjwFnIsAAbkLp0qU1YcIEjRgxwjHpnN1uzxZE2O12ZWVl6f7779cjjzyi3bt369lnn822n6ioKFWoUEFeXl45nuPPc2D82R9hxfWe+3/ZbDZVqFBBq1atcozFxcXJ29tbUVFR2bZPSkpSUlJStu1dXV314Ycf6qefftLOnTs1ZcoUNWzYUMOHD//LGgFYQ2pqqtavXy8PDw81adJEkpScnKwPP/xQL7zwQraf/7S0NJ0+ffqa82MYYxxf//FG+ueff9ZLL72knj176umnn1bt2rU1YcKE26q3UKFC1/z6DzabTcWLF8/WIxMTE1W8eHHt27dPBw4c0AsvvKDGjRurcePGGjp0qNq0aaPt27fr/vvvv+bpz25ubrLb7QoPD1ejRo0kSSkpKUpPT3es4+np6fjaxcUl2+sBwHr+/P7oj7E/v0c6ffq0unbtqs6dO6tWrVoKDAzU999/n6u1XL58WefPn5cxRidPntR9990nSTn6kd1ul6urq2w2m1588UV17NhRkpSenp7tvdk999yT4znsdrsqVaqkFStWOMb+eK+3bt26v+xh7u7u2V6nkydPytvbW1lZWZo3b54efvhhSVfnRnN15eaVsAb+JQI3qUWLFgoICNCyZcskSQ0aNNCHH34oY4wyMjIUGRnpuPPHqFGjNGXKFP3www+O7Q8cOKCIiAi99tprt11Lw4YNtWbNGsf/FnzwwQeqXbt2tpS8Ro0aOnHihGOW7sOHD6t58+aKi4tT/fr1tWXLFiUnJ0u6Osne0qVL5e7uLpvNJmOMjhw5ojZt2qhChQrq37+/evbsyQSfQD7x6aef6r777tN3332nbdu2adu2bfryyy+Vmpqqy5cva+fOnYqPj5ckrVixQjNmzJB09Y31H2/0vb29HRPe7dq1SwkJCZKkPXv2qGrVqurVq5eeeuopbd26VTabLU+P55FHHskW8p49e1Zt2rTRoUOH5O3trXfeeUd79+51rJ+QkKDk5GTHnZ2OHDmiI0eOSLp6h4KaNWvKy8tLDRo00PLly5WRkSG73a4xY8borbfe+tt6/vd1AmAdNWvW1G+//eZ4v/Lrr79q//79qlOnjtzc3BzvcX766Sf5+PjoxRdfVIMGDfTVV1/Jbrfnai2jRo1SaGioJk+erFdffdXxnishIcExEfCWLVtUtGhRVaxYUQ0aNFBkZKRjvVmzZjnOkL3e8R47dkz79u2TdDVgbt68uc6dO3fd7erVq6dPPvlE0tWQokePHoqJiVGDBg20dOlSGWOUnp6u/v376+OPP76t1wHILZyBAdyC0aNHO35JjB49WpMmTVJQUJAyMzPVsGFDvfjii5KkRo0aadq0aXr77bcVFxcnu92uUqVKadq0ablyy6v27dvr7Nmz6tChg+x2u8qVK6eZM2dmW8fb21tz5szR9OnTlZ6eLmOMpk+fLj8/P/n5+en3339Xly5dJEkVK1bUG2+8oSJFiujxxx9X69attXz5crVs2VKhoaEqWrSoChcunG3WbwDW9fHHH6tXr17Z/qfPy8tL3bp101dffaVhw4bphRdekCT5+PhoypQpkq4Gtd26ddPcuXP12muvafz48Vq5cqWqVKniuMNHmzZt9MUXX6hly5ay2+1q3LixLl265HjTnRc8PDy0YMECTZ48WYsXL1ZWVpb++c9/Ok6pnj9/vmbNmqXY2Fh5enqqePHimjJlisqXL6+EhAQ98MADmj17tk6fPi1vb29Nnz5dkvTSSy9p2rRpCg4Ols1mU+XKlTVy5Mi/red/X6f/vf01AOf642d9/PjxysjIkKurq6ZPn66yZcsqMzNTlStXVps2bbRixQp98sknatGihVxcXFSnTh3de++9Onny5E093+DBg3PcRrV79+5KTk5WYmKiBgwYIHd3d23ZskXjxo3TK6+8oqJFi2rNmjWaNm2aihQponnz5snV1VVdunRRfHy8YyLRBx980NGbr3e8c+bM0dSpU5WRkSFjjGbOnKlSpUpdd7tx48ZpwoQJeu6552SM0UsvvSR/f3+NGzcu23vbBg0aqHfv3jf1mgB5xcVwHiRQIAUHB2vw4MGOU6IB4G62a9cuvfHGG9q4caOzSwFwlztx4oRCQ0OznTEG4MZwBgZQwGRlZalVq1YqVqzYNSd6AgAAwI2ZNGmS4zLcPxszZoxjYmAAdwZnYAAAAAAAAMtjEk8AAAAAAGB5XEICSVdvn3fo0CH5+Phc8zZzAP6ezWZTQkKCqlatmmMyLzgffQ64ffQ5a6PPAbeHHmd9BBiQJB06dEhhYWHOLgMoEJYvX841sRZEnwNyD33OmuhzQO6gx1kXAQYkXb19nnT1h/XvbrkE4NpiY2MVFhbm+HmCtdDngNtHn7M2+hxwe+hx1keAAUlynGZYqlQp+fn5ObkaIH/jtF1ros8BuYc+Z030OSB30OOsi0k8AQAAAACA5RFgAAAAAAAAyyPAAAAAAAAAlkeAAQAAAAAALI8AAwAAAAAAWB4BBgAAAAAAsDwCDABOERUVpaFDhyoqKsrZpQBAnqDPASjo6HO409ydXQCAu9PSpUt19OhRpaamqm7dus4uBwByHX0OQEFHn8OdxhkYAJwiNTU122cAKGjocwAKOvoc7jQCDAAAAAAAYHkEGAAAAAAAwPIIMAAAAAAAgOURYAAAAAAAAMsjwAAAAAAAAJbHbVQBAHdUcnKyOnfurIULF+rYsWN66623HI/FxcWpevXqWrRokebNm6c1a9bIy8tLktSxY0eFhYXp8OHDev3115WSkqJatWppwoQJcnfn1xkAAEBBxzs+AMAdc/DgQY0ePVrR0dGSpEaNGqlRo0aSpISEBHXp0kWjRo2SJB06dEhvvfWWatasmW0fw4YN06RJk1SjRg2Fh4crMjJSXbt2vaPHAQAAgDuPS0gAAHdMZGSkxo0bJ19f3xyPTZ8+XZ07d9bDDz8s6WqAsWjRIgUFBWnixIlKT0/X6dOnlZaWpho1akiSQkJCtHnz5hz7SkpKUkxMTLaP2NjYPD02AAAA5C3OwECBFRUVpcjISHXs2FF169Z1djkAJE2ePPma49HR0dq9e7fj8ZSUFFWuXFnDhg1TuXLlNHLkSC1YsEDPPPOMfHx8HNv5+PgoLi4ux/6WLVumefPm5c1BAAAAwCkIMFBgLV26VEePHlVqaioBBmBxK1euVNeuXeXh4SFJuueee/Tuu+86Hu/du7fCw8MVEBAgFxcXx7gxJtvyH3r06KHg4OBsY7GxsQoLC8ujIwAAAEBeI8BAgZWamprtMwDr2rp1q5YsWeJYPnPmjHbs2KH27dtLuhpUuLu7q1SpUkpISHCsl5iYeM3LUby8vByTfwIAAKBgYA4MAIBTnT9/XmlpaSpbtqxjrHDhwpoxY4ZOnTolY4yWL1+uZs2aqUyZMvL09NS+ffskSevXr1dAQICzSgcAAMAdxBkYAACniomJUalSpbKNeXt7a+LEiRowYIAyMzP1xBNPqFevXpKkmTNnavTo0UpOTlaVKlXUvXt3Z5QNAACAO4wAAwBwx23bts3x9eOPP67IyMgc6zRv3lzNmzfPMe7v76/Vq1fnaX0AAACwHi4hAQAAAAAAlkeAkY/NmzdPrVu3VuvWrTV9+nRJ0o4dOxQUFKTAwEDNmjXLyRUCAAAAAJA7CDDyqR07duj777/X2rVrtW7dOv3888/auHGjwsPDtWDBAm3atEmHDh3SN9984+xSAQB5JCoqSkOHDlVUVJSzSwEAAMhzBBj5lI+Pj0aOHCkPDw8VKlRIFSpUUHR0tMqVK6eyZcvK3d1dQUFB2rx5s7NLBQDkkaVLl+rgwYNaunSps0sBAADIc0zimU/94x//cHwdHR2t//znP3r++efl4+PjGPf19VVcXFyObZOSkpSUlJRtLDY2Nu+KBQDkidTU1GyfAQAACjICjHzu6NGj6t+/v4YPHy43NzdFR0c7HjPGyMXFJcc2y5Yt07x58+5glQAAAAAA3B4CjHxs3759euWVVxQeHq7WrVtr9+7dSkhIcDyekJAgX1/fHNv16NFDwcHB2cZiY2MVFhaW5zUDAADgxk2bNk0XLlxQRESEs0sBAKcjwMinzp49q4EDB2rWrFmqV6+eJKl69eo6fvy4Tpw4IT8/P23cuFGhoaE5tvXy8pKXl9edLhkAAAA3YefOnVq7dq2eeeYZZ5cCAJZAgJFPLVmyROnp6dnS+M6dOysiIkKDBg1Senq6GjVqpBYtWjixSgAAANyKixcvatasWXrxxRd15MgRZ5cDAJZAgJFPjR49WqNHj77mYxs2bLjD1QAAACA3jR07VkOGDNHZs2ev+TiTsgO4GxFgAAAAABayatUqlS5dWvXq1dMnn3xyzXWYlB3A3YgAAwAAALCQTZs2KSEhQW3bttWlS5eUmpqqKVOmKDw83LEOk7IDuBsRYAAAAAAW8v777zu+/uSTT7R79+5s4YXEpOwA7k6uzi4AAAAAAADg73AGBgAAAGBRISEhCgkJcXYZAGAJnIGBW5KRmeXsEgqUvHg9M7Nsub7PuxWvJQAAAOB8nIGBW+JRyF1NXprq7DKuL/6CXCTFxF+wfK3bFozK9X0WcnfToPe+zvX95paEpCuOz1auU5Lm9n7G2SUUKMnJyercubMWLlwoPz8/jRo1Svv27VORIkUkSS+//LKaNWumHTt2aOrUqUpPT1fLli01ZMgQSdLhw4f1+uuvKyUlRbVq1dKECRPk7s6vMwAAgIKOMzAAAHfMwYMH1aVLF0VHRzvGDh06pA8//FDr16/X+vXr1axZM6WlpSk8PFwLFizQpk2bdOjQIX3zzTeSpGHDhmns2LH6/PPPZYxRZGSkk44GAAAAdxIBBgDgjomMjNS4cePk6+srSbpy5YrOnDmj8PBwBQUFac6cObLb7frxxx9Vrlw5lS1bVu7u7goKCtLmzZt1+vRppaWlqUaNGpKuXhu+efNmZx4SAAB5gktYcxevZ8HAObcAgDtm8uTJ2ZYTExNVt25djRs3TsWLF1f//v21evVqFS1aVD4+Po71fH19FRcXp/j4+GzjPj4+iouLy/E8SUlJSkpKyjYWGxuby0cDAEDesfrlwBKXBOPOI8AAADhN2bJlNX/+fMdyt27dtG7dOjVv3lwuLi6OcWOMXFxcZLfbrzn+Z8uWLdO8efPytngAAADcUQQYAACn+fXXXxUdHa3mzZtLuhpIuLu7q1SpUkpISHCsl5CQIF9f3xzjiYmJjstR/lePHj0UHBycbSw2NlZhYWF5dCQAAADIa8yBAQBwGmOMpkyZokuXLikzM1MrV65Us2bNVL16dR0/flwnTpyQzWbTxo0bFRAQoDJlysjT01P79u2TJK1fv14BAQE59uvl5SU/P79sH6VKlbrThwcAAIBcxBkYAACn8ff3V79+/dSlSxdlZWUpMDBQbdq0kSRFRERo0KBBSk9PV6NGjdSiRQtJ0syZMzV69GglJyerSpUq6t69uzMPAQAAAHcIAQYA4I7btm2b4+uwsLBrXtpRr149bdiwIce4v7+/Vq9enaf1AQAAwHq4hAQAAAAAAFgeAQYAAAAAALA8AgwAwE2Ji4vLMfb77787oRIAAADcTQgwAAA35OLFi7p48aL69u2rS5cuOZYTExP18ssvO7u8XJeRmeXsEgoMXkvczYwxWrp0qcLDw5WcnKzFixfLbrc7uywAyJeYxBMAcENeffVVbd++XZJUp04dx7i7u7uaN2/urLLyjEchdzV5aaqzy7i++AtykRQTf8HStW5bMMrZJQBOM336dMXHx+uXX36R3W7X1q1bFRcXp9dff93ZpQFAvkOAAQC4IUuWLJEkjRo1SlOnWvePZQCwkh07dmjt2rUKCQmRl5eXli5dqnbt2jm7LADIlwgwAAA3ZerUqTp9+rQuXbokY4xjvEqVKk6sCgCsyd3dXa6u/71q29PTU+7uvAUHgFtB9wQA3JQ5c+ZoyZIlKlGihGPMxcVFW7dudWJVAGBNFStW1IoVK2Sz2XTy5Em9//77qlSpkrPLAoB8iQADAHBT1q1bpy+++EIlS5Z0dim4i2Vm2VTI3c3ZZRQYvJ555/XXX9fkyZMVHx+v0NBQNWjQQGPGjHF2WQCQLxFgAABuSunSpQkv4HSF3N006L2vnV3GdSUkXXF8tnqtc3s/4+wSCiwvLy+98sormjZtmlJSUhQTEyNvb29nlwUA+RK3UQUA3JR69epp+vTp2rdvn37++WfHBwAgp+XLl6t///6SpPPnz2vAgAH65JNPnFwVAORPnIGBgsvVLftnALnijzfemzdvdowxBwYAXNvHH3+sjz76SJJUtmxZrV27Vt26dVNISIiTKwOA/IcAAwXXAxVkzp+QvMs5uxKgQNm2bZuzSwCAfMNms8nLy8uxfO+998rFxcWJFQFA/sUlJCi4ij0gPfTk1c8Ack1KSoomTpyoHj166OLFixo7dqxSUlKcXRYAWNLDDz+sWbNm6cyZMzp79qzmzZunhx56yNllAUC+RIBhEYmJiY7Tr2fMmKEePXroyJEjTq4KAHKaNGmSihcvrnPnzsnT01PJyckaO3ass8sCAEuaOHGifvvtN7Vq1UpBQUH67bffNG7cOGeXBQD5EgGGRYwcOVKnTp3Szp079d1336lt27aaNGmSs8sCgBwOHz6sIUOGyN3dXUWKFNHMmTN1+PBhZ5cFAJbk4+Ojd955Rz/88IP27t2rOXPm6IEHODsUAG4Fc2BYxMWLF9WzZ09NmzZNbdq0UUhIiJYvX+7ssgAgB1fX7Nm3zWbLMXY9ycnJ6ty5sxYuXCg/Pz+tXLlSH3zwgVxcXFS1alVNmDBBHh4emjdvntasWeO4drxjx44KCwvT4cOH9frrryslJUW1atXShAkT5O7OrzMA1hQdHa3Fixfr0qVLMsY4xufNm+fEqgAgf+IMDIvIzMxUZmamvvvuO9WvX19XrlxRamrq326XnJysNm3aKCYmRpI0atQoBQYGqm3btmrbtq22bNmS16UDuMvUrl1bM2bMUFpamr777jsNGjRIderUuaFtDx48qC5duig6OlqSdPz4cS1ZskQrVqzQhg0bZLfbHbP1Hzp0SG+99ZbWr1+v9evXKywsTJI0bNgwjR07Vp9//rmMMYqMjMyT4wSA3DBixAi5u7srICBAjRo1cnwAAG4e/2VlEU2bNlW9evVUuXJlVa1aVW3atFGbNm2uu83Bgwc1evRoxx8C0tU3/B9++KF8fX3zuGIAd6vXXntN//rXv1S8eHHNmjVLDRs21EsvvXRD20ZGRmrcuHEaPny4JMnDw0Pjxo1TsWLFJEmVKlXSmTNnJF3tZ4sWLdLp06dVu3ZtjRgxQomJiUpLS1ONGjUkSSEhIZozZ466du2aB0cKALcvNTVV48ePd3YZAFAgEGBYxKBBg9SxY0eVLFlSkjRz5kyVLl36utv8+Q+BK1eu6MyZMwoPD1dcXJyaNWuml19++aZO7QaAv1OoUCENHDhQzz//vNzc3Bzhw42YPHlytuUyZcqoTJkykqTz589r+fLlmjp1qlJSUlS5cmUNGzZM5cqV08iRI7VgwQI988wz8vHxcWzv4+OjuLi4HM+TlJSkpKSkbGOxsbE3c5gAkCvKli2rxMRE5r0AgFxAgGERISEhWrt2rWPZ399fbdq00caNG/9ymz//IZCYmKi6detq3LhxKl68uPr376/Vq1erY8eO2dbjjT2A23Hs2DENHz7ccaekmjVravr06XrwwQdveZ9xcXF64YUXFBoa6rgc5d1333U83rt3b4WHhysgIEAuLi6OcWNMtuU/LFu2jOvLAViCq6urWrdurWrVqqlw4cKOcXoUANw8Agwn69Gjh3766SelpaXpiSeecIzb7XZVq1btpvZVtmxZzZ8/37HcrVs3rVu3LkeAwRt7ALcjPDxcHTp0UGhoqIwxWrlypV5//XW9//77t7S/Y8eO6YUXXlC3bt3Uu3dvSdKZM2e0Y8cOtW/fXtLVoMLd3V2lSpVSQkKCY9vExMRrXjLXo0cPBQcHZxuLjY11zKMBAHfKrc558fbbb+vzzz+Xi4uL2rdvr169euVBdQCQvxBgONn8+fN18eJFhYeHa+rUqY5xd3f3bKdJ34hff/1V0dHRat68uaT/vuH/M97YA7gdV65cUefOnR3L3bp1u+WJNJOTk9WnTx8NHjxY7dq1c4wXLlxYM2bMUJ06deTn56fly5erWbNmKlOmjDw9PbVv3z49+eSTWr9+vQICAnLs18vLy3H3EgBwpg4dOiguLk5Hjx5VvXr1lJiY6Lhk+K/s3r1bUVFR2rBhg7KystSqVSs1atRI5cuXv0NVA4A1MTmCkxUrVkx+fn5asGCBNm7c6LgWfPHixUpLS7upfRljNGXKFF26dEmZmZlauXKlmjVrlmM9Ly8v+fn5ZfsoVapUrhwPgIKvfPny2r9/v2P5t99+k5+f3y3ta/Xq1UpMTNT777/vuHvS22+/LW9vb02cOFEDBgxQixYtZIxx/O/jzJkzNXXqVLVo0UKpqanq3r17rhwXAOSFb7/9Vh07dtTYsWOVmJioFi1a6KuvvrruNk899ZT+/e9/y93dXefOnZPNZlPRokXvUMUAYF2cgWERo0aNcvwB4OXlJRcXF40ZM0ZvvvnmDe/D399f/fr1U5cuXZSVlaXAwMC/vZMJ4CyuhTyyfUb+cebMGXXr1k2PPvqo3N3d9csvv8jHx0dBQUGSpE8//fRv97Ft2zZJUs+ePdWzZ89rrtO8eXPHGWX/y9/fX6tXr771AwCAO2ju3LmKjIxU//79VbJkSX344YcKDw9X48aNr7tdoUKFNGfOHL333ntq0aJFjrM2mNMMwN2IAMMioqOjNXfuXElS8eLFFR4erueee+6Gtv3jDwFJCgsL41IQ5As+jz+jc4d3qkTles4uBTfptddec3YJAJBv2Gy2bOFDlSpVbnjbV155RX379tWLL76oyMhIderUyfEYc5oBuBsRYFhEVlaWkpOTHbcjTElJkTHGyVUBead4mX+oeJl/OLsM3CRjjJ544gm5u7srOTlZO3bsUKVKlfTwww87u7S7k6tb9s8ALKdw4cKKjY113DFp//798vC4/tmHx44dU0ZGhipXrqwiRYooMDBQv/76a7Z1mNMMwN2IAMMi2rVrpw4dOqhFixZycXHRli1bFBIS4uyyAMDh999/V79+/TRmzBjVq1dPHTp0kHR1Is6IiAg9/fTTTq7wLvRABZnzJyTvcs6uBMBfGDp0qHr27KmEhAR17dpVx44d09tvv33dbWJiYjRnzhx9/PHHkqStW7cqNDQ02zpMVgzgbkSAYRH9+/dXxYoVtXPnTrm7u+u11167pVtuAUBemT59ugYPHqzGjRtrzZo1MsZo06ZNiouL05AhQwgwnKHYA1c/AFhWrVq1tGLFCu3fv192u101a9ZUiRIlrrtNo0aN9OOPP6pdu3Zyc3NTYGCgWrdufYcqBgDrIsCwkCpVqsjd3V1PP/204uPjnV0OAGRz9uxZx9w8u3bt0rPPPitXV1eVLl1aycnJTq4OAKxl9+7deuqpp7R161bHmIuLi3744QdJUtOmTa+7/aBBgzRo0KA8rRG4XUzKjjuNAMMivv76a40fP16urq5asWKFWrdurRkzZujZZ591dmkAIElydf3vnbcPHDig0aNHO5bT09OdURIAWNbatWv11FNPacmSJTkec3Fx+dsAA8gPmJQddxoBhkXMnz9fkZGR6tevn3x9ffXRRx9pxIgRBBgALOPee+/VkSNHlJycrISEBNWuXVvS1Qnp/nx7PwC4202dOlWS1KZNG3Xt2tXJ1eRfUVFRioyMVMeOHVW3bl1nl4M/YVJ23GkEGBZhs9nk6+vrWK5cubJjtmoAsII/JqJLTk7Wa6+9pqJFi2rJkiVauHCh5s+f7+zyAMCSPvroIwKM27B06VIdPXpUqampBBgACDCsokiRIjpz5owjtNi7d688PT2dXBUA/FeNGjX07bffKi0tzTHzfc2aNbVq1SpuowoAf6F8+fIaN26catWqpaJFizrGuYTkxqSmpmb7DODuRoBhEa+++qp69+6thIQEderUSdHR0Zo7d66zywKAbDw8POTh4aEff/xRv/zyi0JCQvTzzz8TYADAX0hMTFRiYqKOHj3qGGMODAC4NQQYFvHEE08oMjJSBw4ckN1uV/Xq1eXt7e3ssgAghzVr1ui9995Tenq6mjVrppdeeklDhgxRx44dnV0aAFjORx995OwSAKDAcP37VZCXdu7cKUn64osvFBUVpfT0dGVmZmrv3r364osv9N133yklJcXJVQLAf3344YdauXKlihUrphIlSuiTTz7RsmXLnF0WAFjSuXPnNGDAALVq1Urnzp1Tv379dO7cOWeXBQD5EmdgONlnn32mevXq6YMPPrjm4ykpKXJzc9OqVavucGUAcG2urq4qVqyYY7l06dJyc3NzYkUAYF0TJkxQw4YNdfr0aRUvXlzly5dXeHi4Fi1a5OzSACDfIcBwskmTJkmSI8DIysqSMUaFChVyrNO8eXOn1AYA13Lffffp8OHDjkmHN2zYoHvvvdfJVQGANZ06dUpz5sxRZGSksH7f/gAAIABJREFUPDw8NHLkSAUFBTm7LADIlwgwLOLcuXMaOXKkdu7cKZvNptq1a2vGjBkqWbKkNm3a5OzyAMAhPDxc//znP3Xy5Ek1aNBAnp6eWrBggbPLAgBLcnFxkd1udyynpKTIGOPEigAg/yLAsIiJEyeqevXqevPNN2Wz2fTBBx9o/Pjxeueddzg1G4ClVKhQQevXr1d0dLRsNpseeeSRbGeNAQD+69lnn9Xw4cN1+fJlrVq1SqtWrVKzZs2cXRYA5EtM4mkR0dHRevnll+Xl5aX7779fr7zyik6ePOnssgAgh7S0NG3evFlRUVHas2ePIiMjtXz58hvePjk5WW3atFFMTIwkaceOHQoKClJgYKBmzZrlWO/w4cMKCQlR8+bN9frrrysrK0uSdObMGYWFhalFixYaMGAAEx0DsLSXXnpJdevW1WOPPaavvvpK7dq10yuvvOLssgAgXyLAsIisrCylp6c7lq9cueK4vhwArOTFF1/UkiVLtGvXLsfH7t27b2jbgwcPqkuXLoqOjpZ0NQwJDw/XggULtGnTJh06dEjffPONJGnYsGEaO3asPv/8cxljFBkZKenqhHhdu3bV5s2bVbVqVS5fAWB5oaGhevnllzV06FB17dqV93gAcIu4hMQiWrVqpZ49eyokJEQuLi5as2YNk3cCsKS4uDht2rTplt6AR0ZGaty4cRo+fLgk6ccff1S5cuVUtmxZSVJQUJA2b96sihUrKi0tTTVq1JAkhYSEaM6cOerQoYP27Nmj+fPnO8aff/55DRs2LJeODgBy14EDBzR48GDZ7XbZ7Xbdc889mjdvnipVquTs0pSRmSWPQvw5kBt4LYE7g58yixg4cKBKlSql7777Tna7XSEhIWrfvr2zywKAHCpVqqTExET5+Pjc9LaTJ0/OthwfH59tP76+voqLi8sx7uPjo7i4OF24cEHFihWTu7t7tvE/S0pKUlJSUrax2NjYm64XAG7XxIkTNX78eDVu3FiStGXLFo0dO1YrVqxwcmWSRyF3NXlpqrPLuL74C3KRFBN/wdK1blswytklAHcFAgyL6NGjh5YtW6bQ0FBnlwIA19WiRQu1bNlSlSpVcgQJkvTvf//7pvdlt9uznclhjHHM2H+t8T8+/69rnQmybNkyzZs376brAYDcZoxxhBeS1KxZM/oTANwiAgyLuHz5slJTU1W0aFFnlwIA1zV//nz1799fDz300G3vq1SpUkpISHAsJyQkyNfXN8d4YmKifH195e3trcuXL8tms8nNzc2x/p/16NFDwcHB2cZiY2MVFhZ22zUDwM2oVq2aPv/8c8elwTt37lTFihWdXBUA5E8EGBZRpEgRNW7cWI8++mi2EGPhwoVOrAoAcipSpIj69u2bK/uqXr26jh8/rhMnTsjPz08bN25UaGioypQpI09PT+3bt09PPvmk1q9fr4CAABUqVEi1atXSpk2bFBQUpHXr1ikgICDHfr28vOTl5ZUrNQLA7YiKitKqVatUokQJubm5KT4+XkWKFFHt2rXl4uJyw5MgAwAIMCyD+S4A5Bf169fX8uXL1axZM3l4eDjG77vvvpvel6enpyIiIjRo0CClp6erUaNG/9/e3cfXXPB/HH8fmy3DHi7azLWJy00J0UpsUnPzcDedskxosaimQpES+00Tw5CbixVX5erBLITmUl2pUIlFoYvcdsNE2iw312ic3X1/f+zhXJ02crd9v+fs9Xw8PDrfm/P1Ps5jH3qf7/l+1aNHD0nSK6+8ooSEBJ09e1YtWrTQoEGDJEmJiYkaO3as5s+fr3r16mnWrFnX54UBQDlYuHCh2REAwGNQYFjAd999p+rVq6t169aqW7eu2XEA4JLeeust5efna9KkSc51NptN+/btu+xjbNiwwfk4PDxca9asKbVPs2bNtHLlylLrg4ODlZqaeoWpAcAca9euVVxcnHP5t99+U2Jiol555RUTUwGAe6LAMNmqVas0bdo0NWjQQD/99JNmzpypDh06mB0LAC5q165dZkcAALexceNG7dixQ9OnT1dmZqaef/55hYWFmR0LANwSBYbJUlNT9d5776lu3br65ptvNHv2bAoMAJb0r3/9Sw888IDeeuutMrcPHjy4ghMBgPUtXrxYKSkpstvtMgxDSUlJZV67BwDw5ygwLODC10ZCQ0N16tQpk9MAQNkOHz4sqeRrbwCAy3Pq1Cnt27dPN954o06ePKlvv/1WHTp0UJUqVcyOBgBuhwLDZDabzWXZy8vLpCQAcGlNmzaVJE2dOtXkJIB7qFLVx+W/qJzuu+8+RUdHa968ecrNzVV8fLz69eunFStWmB0NANwO1a/F/LHQAACreP31182OALiVgFYd5Ve3gQJadTQ7Ckw0c+ZMjR49Wt7e3qpdu7YWLFggu91udiwAcEucgWGy/fv364477nAunz9/XnfccYcMw5DNZtOOHTtMTAcAAK5WzeCmqhnc1OwYMMmuXbvUqlUrtW/fvtS2mjVrmpDITVXxcv0vgEqNAsNkS5cuVUBAgNkxAOBPZWVlKSkp6aLbExISKjANAFhbYmKi0tPTJUkDBgzQ0qVLndsWL16sqKgos6K5lxsbyzh5WKrdwOwkACyAAsNkL7/8stLT0xUbG6tFixaZHQcALsrLy0u1atUyOwYAuAXDMJyPz507d9Ft+BM1biz5BQCiwDBdYWGhhgwZor179+rJJ58stX3BggUmpAKA0gICAjR8+HCzYwCAW/j9dc3+eI0zrnkGAFeHAsNkb7zxhrZs2aJDhw6pe/fuV/z8s2fPqn///lqwYIFCQkKUkZGhqVOnyuFwqGfPnho1alQ5pAZQGfGJIQAAAMxEgWGyoKAg9e7dW/Xq1VPz5s1ls9lUo0aNy3ruzp07lZCQoMzMTEklFwCNj49Xamqq6tWrp6FDh+rzzz9XREREOb4CAJXFiy++aHYEAHAb58+f14EDB2QYhsvjC9sAAFeOAsMCNm7cqOnTp+vHH3+UJDVu3FgvvPDCnxYP77zzjhITEzVmzBhJJVe7btCggerXry9JstvtWrt2LQUGgOti3bp1Wr9+/UW3cxFPAPif3377TXFxcc7l3z++nK+QpKSk6MMPP5QkRUREOP+9BwCVGQWGybZt26YJEyYoPj5e4eHhKigo0JdffqnExETNmDFDd91110WfO3nyZJfl48ePu9zRJDAwUNnZ2aWel5ubq9zcXJd1WVlZ1/hKAHi6v/zlL2ZHAAC3sXHjxj/dZ/v27brzzjtLrc/IyNCmTZuUnp4um82mxx9/XJ988om6du1aHlEBwG1QYJhs/vz5mj17tlq3bu1c17NnTwUFBWnevHmXLDD+qLi42KXRNwyjzIZ/0aJFSklJubbgACqdS13AMy8vrwKTAIBnSEpKct5q9fcCAgI0duxY+fj4SCo5O/fYsWMVHQ8ALIcCw2QnTpxwKS8uCA0NveKzIoKCgpSTk+NczsnJUWBgYKn9YmNjS917PCsrSzExMVf0+wGonNatW6e5c+cqLy9PhmGouLhYp0+f1jfffGN2NABwKxe7OHLTpk2djzMzM/Xhhx9q6dKlLvtwRi2AyogCw2R/vC/471WpUuWKjtW6dWsdOnRIhw8fVkhIiN5//3316dOn1H7+/v7y9/e/4qwAIEnTp0/XyJEjtXTpUj3xxBNat26dqlevbnYsAHA7f3YtjO+//15Dhw7VmDFj1LBhQ5dtnFELoDKiwDBZ3bp1tWvXLrVq1cpl/a5du8o8e+JSfH19lZycrBEjRsjhcCgiIkI9evS4nnEBQNWqVVNkZKT27dsnX19fTZgwQb169brqu5SsWLFCS5YscS4fPXpUDzzwgM6dO6ft27erWrVqkkq+wtK1a1duFw2gUti+fbueeeYZxcfHq1evXqW2c0YtgMqIAsNkTz31lF544QWNHz9ebdq0UWFhobZu3aopU6Zo2rRpl3WMDRs2OB+Hh4drzZo15RUXAOTr66v8/HzddNNN2rdvn9q1a3dZV9S/mL59+6pv376SSj5tHDZsmIYPH67Y2FgtWbLEpczldtEAKoNffvlFw4YN0+zZsxUeHl7mPpxRC6AyosAwWXh4uMaMGaOkpCRlZmZKkho1aqSXXnpJbdq0MTccAJShc+fOiouL07Rp09SvXz9t3779ut2hZMKECRo1apSqVaumY8eOKT4+XtnZ2eratauGDx/O7aIBeJSLXQNj4cKFcjgcSk5Odq7r37+/BgwYUFHRAMCSKDAsoEuXLurSpYtOnz4tSapVq5bJiQDg4p588kndf//9qlu3rl577TV9/fXXuu+++675uBkZGTp//rx69uypI0eOKCwsTImJiapZs6aGDh2qlStXys/Pj9tFA/AYF/uwKiEhQQkJCRWcBgCsjwLDIoqLi7VixQpt3LhRhYWFuvvuu/Xkk0/K25u3CIC17NmzR5J06tQpSSX/AM/KylKdOnWu6bjLli3T4MGDJUn169fXq6++6tw2cOBArV69Wt27d+d20QDcwrBhwy759bqUlBRKCgC4QvzfsUXMnDlT+/fvV2xsrIqLi7V8+XJNnz5d8fHxZkcDABcjRoxwPi4oKNCvv/6qFi1aaOXKlVd9zPz8fH399dfO06UPHDigzMxMde/eXVJJUeHt7c3togG4jY4dO5odAQA8DgWGRXzxxRdatWqVqlatKqnkL73777+fAgOA5fz+wsGStHXrVr333nvXdMwDBw6oYcOG8vPzk1RSWEyZMkVhYWHy8/PT8uXLFRUVxe2iAbiNCxcnLsuRI0cqMAkAeA4KDIswDMNZXkiSj4+PyzIAWFW7du1cLjR3NY4cOaKgoCDncrNmzRQXF6cBAwaosLBQ3bp1c15ng9tFA3AnK1as0IwZM5SXlyep5GvD/v7+2rJli8nJAMD9UGBYRLNmzTRlyhQ98sgjstlsSk1N1c0332x2LAAo5cI1MKSS8nX37t06f/78NR0zMjJSkZGRLutiYmLK/MoHt4sG4E7mz5+v+fPn6/XXX9ezzz6rDRs26MSJE2bHAgC3RIFhEYmJiUpKStKAAQNUXFysDh066KWXXjI7FgCU8vtrYNhsNtWpU0cTJkwwLxAAWFitWrV055136tZbb9WpU6c0fPjwUoUtAODyUGCYbNy4cc7HNptN9957r3N52rRpmjJlihmxAOCi3n77bZeve0jSDz/8YFIaALA2b29v5ebmqmHDhtq9e7fuvvtuFRUVmR0LANwSBYbJmjZtWmrdqVOntGjRIgUHB5uQCADKdvr0aUlSXFycUlNTnbcwLSgo0PDhw7V27VqTEwKA9URHRysuLk7z589XVFSU1q9fr4YNG5odCwDcEgWGyYYMGeKynJGRoRdffFF2u517gwOwlNGjR2vz5s2SSi7ceYGXlxcX0gSAi3jooYcUGRmpGjVqKC0tzXkWBgDgylFgWERhYaFmzpyp9PR0vfzyy+revbvZkQDAxcKFCyWVfPVt6tSpJqcBAPcQFRWl9PR0SVJwcLCCg4Nlt9uv+fbTAFAZVTE7AKTMzEw99NBD2r17t1avXk15AcDSnn32WedFOw8ePKinn35av/76q7mhAMBiBg8erLZt2+rAgQNq27at89cdd9whf39/s+MBgFviDAyTrVq1StOmTdPgwYP11FNPmR0HAP7U2LFj1blzZ0klnya2bdtW48aN0xtvvGFyMgCwjr///e86deqU4uPjXc5a8/LyUt26dU1MBgDuiwLDZP/3f/+nKlWq6PXXX3f5x/+Fi+Pt2LHDxHQAUNqpU6c0aNAgSZKvr68effRRrV692uRUAGAt/v7+8vf3V1pamrKysvTVV1+psLBQ7dq1k7c3/wQHgKvB9DTZ+vXrzY4AAFekqKhI2dnZzk8Qf/31VxmGYXIqALCmzZs3a/To0WrdurWKi4s1ZcoUzZgxQ506dTI7GgC4HQoMk3GrVADu5tFHH1Xv3r11zz33SJK+/PJLjRkzxuRUAGBNc+bM0eLFi3XzzTdLkg4cOKCxY8dSYADAVaDAAABckejoaLVs2VJbtmyRl5eXbrrpJi1evFh2u93saABgOQUFBc7yQpJuueUWFRUVmZgIANwXBQYA4IrVq1dP+fn5SktLU15engYOHGh2JACwJB8fH+3du1fNmzeXJO3Zs0c+Pj4mpwIA90SBAQC4bAcPHtSiRYu0Zs0aBQcH6/z589qwYYNq1qxpdjQAsJT8/Hz5+Pjo+eef1xNPPKFGjRrJZrPp+++/1+zZs82OBwBuiQIDAHBZ4uLitHv3bkVGRmrx4sW67bbb1LlzZ8oLAChDv379lJ6errZt2+q9997Tf/7zHxUXFys0NFR16tQxOx4AuCUKDADAZdm7d69atGihpk2bqkGDBpIkm81mcioAsKbf352pdu3a6ty5s4lpAMAzUGAAAC7LZ599po8//lhLly7V5MmT1bFjRzkcDrNjAYAlORwO7d2796K3mW7RokUFJwIA90eBAQC4LN7e3oqMjFRkZKR++OEHLVu2TA6HQ926ddPgwYM1YMCAqz72wIEDdfLkSXl7l/y1NHHiRP3000+aP3++CgsLFRsbq5iYGElSRkaGpk6dKofDoZ49e2rUqFHX5fUBwPV05MgRjRgxoswCw2azaf369SakAgD3RoEBALhiTZo0UUJCgkaPHq01a9Zo2bJlV11gGIahzMxMffrpp84CIzs7W6NGjdK7774rHx8f9e/fX+3atVNISIji4+OVmpqqevXqaejQofr8888VERFxPV8eAFyzJk2aaPXq1WbHAACPQoEBALhq1apVU79+/dSvX7+rPsbBgwclSUOGDNHp06f10EMPqXr16goLC1OtWrUkSd27d9fatWvVtm1bNWjQQPXr15ck2e12rV27lgIDAACgEqDAAACYKjc3V+Hh4Ro/frwKCgo0aNAg9ezZUwEBAc59AgMDtWvXLh0/frzU+uzs7DKPmZub67IuKyur/F4EAPxBmzZtzI4AAB6HAgMAYKrQ0FCFhoY6l6OjozV16lQ99dRTznWGYchms6m4uNjlzicX1v/RokWLlJKSUr7BAeASEhISzI4AAB6HAgMAYKpt27apoKBA4eHhkkpKieDgYOXk5Dj3ycnJUWBgoIKCgspc/0exsbGKiopyWZeVleW8ECgAAADcTxWzAwAAKrczZ85o+vTpcjgcOnv2rNLT0zVjxgx9+eWXOnnypM6dO6ePP/5Y9957r1q3bq1Dhw7p8OHDKioq0vvvv69777231DH9/f0VEhLi8isoKMiEVwcAAIDrhTMwAACm6tSpk3bu3KnevXuruLhYDz/8sO68806NGjVKgwYNUkFBgaKjo9WqVStJUnJyskaMGCGHw6GIiAj16NHD5FcAAACAikCBAQAw3ciRIzVy5EiXdXa7XXa7vdS+4eHhWrNmTUVFAwAAgEVQYHiggQMH6uTJk/L2Lnl7J06cqNatW5ucCgAAAACAq0eB4WEMw1BmZqY+/fRTZ4EBAAAA93P27Fn1799fCxYsUEhIiNlxAMB0XMTTwxw8eFCSNGTIEN1///1asmSJyYkAAABwpXbu3KkBAwYoMzPT7CgAYBl8RO9hcnNzFR4ervHjx6ugoECDBg3S3/72N919990u++Tm5ro8Lysrq6KjAgAA4CLeeecdJSYmasyYMWZHAQDLoMDwMKGhoQoNDXUuR0dH6/PPP3cpMBYtWqSUlBQz4gEAAOAyTJ48+ZLb+UAKQGVEgeFhtm3bpoKCAoWHh0squSbGH6+FERsbq6ioKJd1WVlZiomJqbCcAAAAuHp8IAWgMqLA8DBnzpzR3LlztWzZMhUUFCg9PV0vv/yyyz7+/v7y9/c3KSEAAACuFR9IAaiMKDA8TKdOnbRz50717t1bxcXFevjhh12+UgIAAAD3xwdSACojCgwPNHLkSI0cOdLsGAAAAAAAXDcUGAAAAIBFbdiwwewIAGAZVcwOAAAAAAAA8GcoMAAAAAAAgOVRYAAAAAAAAMujwAAAAAAAAJZHgQEAAAAAACyPAgMAAAAAAFget1EFAJguJSVFH374oSQpIiJCY8aM0bhx47R9+3ZVq1ZNkjR8+HB17dpVGRkZmjp1qhwOh3r27KlRo0aZGR0AAAAVhAIDAGCqjIwMbdq0Senp6bLZbHr88cf1ySefaPfu3VqyZIkCAwOd+54/f17x8fFKTU1VvXr1NHToUH3++eeKiIgw8RUAAACgIvAVEgCAqQICAjR27Fj5+PioatWqaty4sY4dO6Zjx44pPj5edrtdc+fOVXFxsXbt2qUGDRqofv368vb2lt1u19q1a81+CQAAAKgAnIEBADBV06ZNnY8zMzP14YcfKi0tTV999ZUSExNVs2ZNDR06VCtXrpSfn58CAgKc+wcGBio7O7vUMXNzc5Wbm+uyLisrq/xeBAAAAModBQYAwBK+//57DR06VGPGjFGjRo306quvOrcNHDhQq1evVvfu3WWz2ZzrDcNwWb5g0aJFSklJqZDcAAAAqBgUGAAA023fvl3PPPOM4uPj1atXLx04cECZmZnq3r27pJKiwtvbW0FBQcrJyXE+Lycnx+UaGRfExsYqKirKZV1WVpZiYmLK94UAAACg3FBgAABM9csvv2jYsGGaPXu2wsPDJZUUFlOmTFFYWJj8/Py0fPlyRUVFqXXr1jp06JAOHz6skJAQvf/+++rTp0+pY/r7+8vf37+iXwoAAADKEQUGAMBUCxculMPhUHJysnNd//79FRcXpwEDBqiwsFDdunXTfffdJ0lKTk7WiBEj5HA4FBERoR49epgVHQAAABWIAgMAYKqEhAQlJCSUua2sr3yEh4drzZo15R0LAAAAFsNtVAEAAAAAgOVRYAAAAAAAAMujwAAAAAAAAJZHgQEAAAAAACyPAgMAAAAAAFgeBQYAAAAAALA8CgwAAAAAAGB5FBgAAAAAAMDyKDAAAAAAAIDlUWAAAAAAAADLo8AAAAAAAACWR4EBAAAAAAAsjwIDAAAAAABYHgUGAAAAAACwPAoMAAAAAABgeRQYAAAAAADA8igwPNB7772nyMhIdevWTWlpaWbHAYDrjjkHwNMx5wCgNG+zA+D6ys7O1uzZs/Xuu+/Kx8dH/fv3V7t27dSkSROzowHAdcGcA+DpmHMAUDbOwPAwGRkZCgsLU61ateTn56fu3btr7dq1ZscCgOuGOQfA0zHnAKBsnIHhYY4fP66AgADncmBgoHbt2uWyT25urnJzc13W/fzzz5KkrKysy/69Cs+duYak+L2jR4+Wy3HP/ffXcjluZXO578+Fn5+ioqLyjFPpMefcDzPO+phz1sKccz/MOeu7nPeIGWd9FBgepri4WDabzblsGIbLsiQtWrRIKSkpZT4/JiamXPOhbF26rDI7Ai6hy4Ir2z8nJ0cNGjQonzBgzrkhZpz1MeeshTnnfphz1nclc44ZZ10UGB4mKChI27Ztcy7n5OQoMDDQZZ/Y2FhFRUW5rMvPz9eRI0fUsGFDeXl5VUjW8paVlaWYmBilpaUpKCjI7Dj4A098f4qKipSTk6OWLVuaHcWjMef+xxN/jjyJJ74/zLmKwZz7H0/8OfIknvb+MOOsjwLDw7Rv317z5s3TyZMnVa1aNX388ceaNGmSyz7+/v7y9/cv9dxGjRpVVMwKFRQUpJCQELNj4CI87f2hrS9/zLnSPO3nyNN42vvDnCt/zLnSPO3nyNN40vvDjLM2CgwPU7duXY0aNUqDBg1SQUGBoqOj1apVK7NjAcB1w5wD4OmYcwBQNgoMD2S322W3282OAQDlhjkHwNMx5wCgNG6jCgAAAAAALM9rwoQJE8wOAZQXX19ftWvXTr6+vmZHQRl4f4Brx8+RtfH+ANeOnyNr4/1BRbIZhmGYHQIAAAAAAOBS+AoJAAAAAACwPAoMAAAAAABgeRQY8AhHjx7VLbfcos2bN7us79y5s44ePWpSqspt4sSJeuaZZ1zWbdq0SV26dNHZs2dNSgW4J2acNTHngOuHOWdNzDlYDQUGPEbVqlU1fvx4hqlFjB49Wrt379b69eslSXl5eZowYYKmTJmiGjVqmJwOcD/MOOthzgHXF3POephzsBoKDHiMwMBAtW/fXtOmTSu1bcGCBYqMjJTdbldycrKKiopMSFi5VK9eXUlJSZo0aZLy8vI0d+5cde7cWe3atdPOnTvVv39/RUVF6bHHHtPPP/8sSXrzzTdlt9sVFRUlbpAEuGLGWQ9zDri+mHPWw5yD1VBgwKOMHTtWmzZtcjn9cOPGjdqwYYNWrVql9PR0HT58WMuWLTMxZeXRvn17dejQQePGjdPmzZv13HPPKT8/XwkJCZozZ47S09M1cOBAvfTSS8rPz9c///lPpaena9WqVTp37pxycnLMfgmApTDjrIc5B1xfzDnrYc7BSrzNDgBcTzVq1NCkSZM0fvx4rVmzRpK0ZcsW9erVS9WqVZMk9enTR6tXr1ZMTIyZUSuNsWPHqmPHjnr11Vd1ww03aN++fTp69KiGDh0qSTIMQw6HQz4+PmrZsqWio6PVpUsXPfHEEwoICDA5PWAtzDhrYs4B1w9zzpqYc7AKCgx4nA4dOricflhcXFxqn8LCwoqOVWnVqFFD/v7+Cg4OliQVFRWpYcOGSk9Pdy6fOHFCkvSPf/xD33zzjTZu3KghQ4Zo1qxZatOmjWnZAStixlkPcw64vphz1sOcg1XwFRJ4pAunHx4/flxhYWH64IMPdP78eRUWFmrVqlUKCwszO2Kl1aRJE+Xk5GjHjh2SpOXLl2vMmDE6fvy4evXqpWbNmmnkyJEKCwvTd999Z3JawJqYcdbGnAOuHXPO2phzMAtnYMAjXTj98LHHHlPHjh2Vm5urPn36qLCwUB06dNAjjzxidsRK64YbbtCcOXM0efJk5efny9/fX8nJyQoMDFSfPn304IMPys/PT40aNVJUVJTZcQFLYsYQHFIGAAAGOElEQVRZG3MOuHbMOWtjzsEsNsMwDLNDAAAAAAAAXApfIQEAAAAAAJZHgQEAAAAAACyPAgMAAAAAAFgeBQYAAAAAALA8CgwAAAAAAGB5FBhAGY4eParQ0NAres6mTZvUqVMnRUdH68cff9SIESMu63m5ublKSkqS3W7XAw88oN69e2vFihVXExsALhtzDoCnY84Bnsfb7ACAp/jggw/Ut29fPf3009q6dasOHTr0p89xOBx65JFHZLfblZ6eLm9vb/3888969NFHJUl9+/Yt59QAcPmYcwA8HXMOsDYKDOAK5Ofn65VXXtHXX3+toqIiNW/eXAkJCVq2bJnWr18vX19fnTlzRuvWrVN2drYee+wxLVy48KLH+/e//y0/Pz898cQTznXBwcGaM2eOCgoKJEnff/+9Jk6cqNOnT8tms2nIkCHq3bu3tm7dqlmzZqlevXo6dOiQqlWrpri4OKWmpurQoUPq1q2b4uPjtXXrVr3yyiv661//qoMHD+qGG25QcnKyGjdurEOHDmnixIn67bfflJOTo2bNmmnOnDny9fXVbbfdpri4OG3evFnHjx/X448/rocffliDBw9Wz5499dBDD0mSXnvtNZ0+fVrx8fHl+4cPoEIw55hzgKdjzjHn4MYMAKUcOXLEuP3220utnzdvnpGcnGwUFxcbhmEYM2fONBITEw3DMIwXX3zRePPNNw3DMIwtW7YYvXr1+tPfZ+LEica0adMuur2goMDo0qWL8dFHHxmGYRhZWVnGPffcY+zYscPYsmWLceuttxp79uwxDMMwHnvsMaNfv36Gw+EwTpw4YbRo0cLIysoytmzZYjRr1sz4+uuvDcMwjLffftuIiooyDMMwkpOTjdWrVxuGYRj5+fnGfffdZ6xdu9YwDMO4+eabjdTUVMMwDOPbb781WrZsaZw/f9745JNPjD59+hiGYRhFRUVGp06djB9//PFPXysAa2HOMecAT8ecY87B83AGBnAFPvvsM505c0YZGRmSpIKCAtWpU+eqj2ez2WQYxkW3Z2ZmyuFwqFu3bpKkunXrqlu3bvriiy/Url07hYSEqHnz5pKkm266STVr1pSPj49q166t6tWr67///a8kqVmzZmrTpo0kqU+fPpo4caJOnTqlF154QZs3b9Ybb7yhzMxMHT9+XHl5ec7fv0uXLpKkFi1aKD8/X3l5eerUqZMmT56s/fv3Kzs7WyEhIWrUqNFV/xkAsBbmHHMO8HTMOeYc3BcFBnAFiouLFR8fr4iICEnSb7/9JofDcdXHu/3225WWllZq/fr167Vt2zb17t1bNpvNZZthGCosLJQk+fj4uGzz9i77R9rLy6vMdc8995yKiorUs2dPdezYUb/88ovLX8C+vr6S5MxgGIa8vLzUr18/rVy5UsePH1f//v2v4BUDsDrmHHMO8HTMOeYc3Bd3IQGuQIcOHZSWlqb8/HwVFxdr/PjxmjVrVqn9vLy8nN95vJRu3brp7NmzeuONN1RUVCRJOnLkiPM7jY0aNZK3t7c+/vhjSVJ2drY++ugjtW/f/opy79+/X/v375ckLV++XKGhofL399emTZs0bNgwRUZGSpJ27tzpzHEpffv21bp167Rnzx517dr1irIAsDbmXAnmHOC5mHMlmHNwR5yBAVxEXl5eqVtvLVu2TGfOnFFUVJSKiop06623auzYsaWe26RJE/n6+io6OlorVqwo1bpf4OPjo7feekszZsyQ3W6Xl5eXvLy89NRTT+nBBx+UVHJRpaSkJM2bN09FRUUaNmyYwsLCtHXr1st+LTfeeKPmzJmjn3/+WbVr19b06dMlSaNGjdKwYcPk5+enGjVq6K677tJPP/30p8erU6eOWrZsqcaNG6tq1aqXnQOAtTDnLo45B3gG5tzFMefgjmzGpb6wBcDtbd26VZMmTdL7779/3Y558uRJRUdHKy0tTfXq1btuxwWAq8GcA+DpmHNACc7AAMrR2bNnFRMTU+a26tWr6+23367gRNfunXfe0axZszRixAj+sgPAnAPg8ZhzgHVwBgYAAAAAALA8LuIJAAAAAAAsjwIDAAAAAABYHgUGAAAAAACwPAoMAAAAAABgeRQYAAAAAADA8igwAAAAAACA5f0/su4Z2WApalcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x576 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,8), ncols=3, nrows=2)\n",
    "plt.suptitle(\"Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours,NoOfProjects, ActualTimeSpent, Total_Experience\", y = 1.09, fontsize=20)\n",
    "\n",
    "left   =  0.125  # the left side of the subplots of the figure\n",
    "right  =  0.9    # the right side of the subplots of the figure\n",
    "bottom =  0.1    # the bottom of the subplots of the figure\n",
    "top    =  0.95   # the top of the subplots of the figure\n",
    "wspace =  .5     # the amount of width reserved for blank space between subplots\n",
    "hspace =  0.5    # the amount of height reserved for white space between subplots\n",
    "\n",
    "# This function actually adjusts the sub plots using the above paramters\n",
    "plt.subplots_adjust(\n",
    "    left    =  left,  \n",
    "    right   =  right, \n",
    "    top     =  top, \n",
    "    bottom  =  bottom,\n",
    "    wspace  =  wspace, \n",
    "    hspace  =  hspace\n",
    ")\n",
    "\n",
    "ax[0][0].set_title(\"Total Working hours\")\n",
    "ax[0][1].set_title(\"Billable hours\")\n",
    "ax[0][2].set_title(\"Hours_off_Duty\")\n",
    "ax[1][0].set_title(\"NoOfProjects\")\n",
    "ax[1][1].set_title(\"ActualTimeSpent\")\n",
    "ax[1][2].set_title(\"Total_Experience\")\n",
    "\n",
    "sb.barplot(Data_Junior.Left_Company, Data_Junior.TotalWorkingHours, palette=\"Blues_d\", ax=ax[0][0]);\n",
    "sb.barplot(Data_Junior.Left_Company, Data_Junior.Billable_Hours, palette=\"Blues_d\", ax=ax[0][1]);\n",
    "sb.barplot(Data_Junior.Left_Company, Data_Junior.Hours_off_Duty, palette=\"Blues_d\", ax=ax[0][2]);\n",
    "sb.barplot(Data_Junior.Left_Company, Data_Junior.NoOfProjects, palette=\"Blues_d\", ax=ax[1][0]);\n",
    "sb.barplot(Data_Junior.Left_Company, Data_Junior.ActualTimeSpent, palette=\"Blues_d\", ax=ax[1][1]);\n",
    "sb.barplot(Data_Junior.Left_Company, Data_Junior.Total_Experience, palette=\"Blues_d\", ax=ax[1][2]);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### By plotting the graph above, we get some insights about Junior designation:\n",
    "- The employee who have less working hours have left the company.\n",
    "- The employee who have more billable hours have left the company.\n",
    "- The employee who are having less hours off duty have left the company.\n",
    "- The employee who have spent less time working have left the company.\n",
    "- The employee who are having more number of previous experience have left the company."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Designation 'Senior'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Attrition based on Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours, NoOfProjects, ActualTimeSpent, Total_Experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,8), ncols=3, nrows=2)\n",
    "plt.suptitle(\"Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours,NoOfProjects, ActualTimeSpent, Total_Experience\", y = 1.09, fontsize=20)\n",
    "\n",
    "left   =  0.125  # the left side of the subplots of the figure\n",
    "right  =  0.9    # the right side of the subplots of the figure\n",
    "bottom =  0.1    # the bottom of the subplots of the figure\n",
    "top    =  0.95   # the top of the subplots of the figure\n",
    "wspace =  .5     # the amount of width reserved for blank space between subplots\n",
    "hspace =  0.5    # the amount of height reserved for white space between subplots\n",
    "\n",
    "# This function actually adjusts the sub plots using the above paramters\n",
    "plt.subplots_adjust(\n",
    "    left    =  left,  \n",
    "    right   =  right, \n",
    "    top     =  top, \n",
    "    bottom  =  bottom,\n",
    "    wspace  =  wspace, \n",
    "    hspace  =  hspace\n",
    ")\n",
    "\n",
    "ax[0][0].set_title(\"Total Working hours\")\n",
    "ax[0][1].set_title(\"Billable hours\")\n",
    "ax[0][2].set_title(\"Hours_off_Duty\")\n",
    "ax[1][0].set_title(\"NoOfProjects\")\n",
    "ax[1][1].set_title(\"ActualTimeSpent\")\n",
    "ax[1][2].set_title(\"Total_Experience\")\n",
    "\n",
    "sb.barplot(Data_Senior.Left_Company, Data_Senior.TotalWorkingHours, palette=\"Blues_d\", ax=ax[0][0]);\n",
    "sb.barplot(Data_Senior.Left_Company, Data_Senior.Billable_Hours, palette=\"Blues_d\", ax=ax[0][1]);\n",
    "sb.barplot(Data_Senior.Left_Company, Data_Senior.Hours_off_Duty, palette=\"Blues_d\", ax=ax[0][2]);\n",
    "sb.barplot(Data_Senior.Left_Company, Data_Senior.NoOfProjects, palette=\"Blues_d\", ax=ax[1][0]);\n",
    "sb.barplot(Data_Senior.Left_Company, Data_Senior.ActualTimeSpent, palette=\"Blues_d\", ax=ax[1][1]);\n",
    "sb.barplot(Data_Senior.Left_Company, Data_Senior.Total_Experience, palette=\"Blues_d\", ax=ax[1][2]);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### By plotting the graph above, we get some insights about Junior designation:\n",
    "- The employee who have less working hours have left the company.\n",
    "- The employee who have more billable hours have left the company.\n",
    "- The employee who are having more hours off duty have left the company.\n",
    "- The employee who are having less number of projects have left the company.\n",
    "- The employee who have spent less time working have left the company.\n",
    "- The employee who are having more number of previous experience have left the company."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Designation 'MD'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Attrition based on Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours, NoOfProjects, ActualTimeSpent, Total_Experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,8), ncols=3, nrows=2)\n",
    "plt.suptitle(\"Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours,NoOfProjects, ActualTimeSpent, Total_Experience\", y = 1.09, fontsize=20)\n",
    "\n",
    "left   =  0.125  # the left side of the subplots of the figure\n",
    "right  =  0.9    # the right side of the subplots of the figure\n",
    "bottom =  0.1    # the bottom of the subplots of the figure\n",
    "top    =  0.95   # the top of the subplots of the figure\n",
    "wspace =  .5     # the amount of width reserved for blank space between subplots\n",
    "hspace =  0.5    # the amount of height reserved for white space between subplots\n",
    "\n",
    "# This function actually adjusts the sub plots using the above paramters\n",
    "plt.subplots_adjust(\n",
    "    left    =  left,  \n",
    "    right   =  right, \n",
    "    top     =  top, \n",
    "    bottom  =  bottom,\n",
    "    wspace  =  wspace, \n",
    "    hspace  =  hspace\n",
    ")\n",
    "\n",
    "ax[0][0].set_title(\"Total Working hours\")\n",
    "ax[0][1].set_title(\"Billable hours\")\n",
    "ax[0][2].set_title(\"Hours_off_Duty\")\n",
    "ax[1][0].set_title(\"NoOfProjects\")\n",
    "ax[1][1].set_title(\"ActualTimeSpent\")\n",
    "ax[1][2].set_title(\"Total_Experience\")\n",
    "\n",
    "sb.barplot(Data_MD.Left_Company, Data_MD.TotalWorkingHours, palette=\"Blues_d\", ax=ax[0][0]);\n",
    "sb.barplot(Data_MD.Left_Company, Data_MD.Billable_Hours, palette=\"Blues_d\", ax=ax[0][1]);\n",
    "sb.barplot(Data_MD.Left_Company, Data_MD.Hours_off_Duty, palette=\"Blues_d\", ax=ax[0][2]);\n",
    "sb.barplot(Data_MD.Left_Company, Data_MD.NoOfProjects, palette=\"Blues_d\", ax=ax[1][0]);\n",
    "sb.barplot(Data_MD.Left_Company, Data_MD.ActualTimeSpent, palette=\"Blues_d\", ax=ax[1][1]);\n",
    "sb.barplot(Data_MD.Left_Company, Data_MD.Total_Experience, palette=\"Blues_d\", ax=ax[1][2]);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### By plotting the graph above, we get some insights about Junior designation:\n",
    "- The employee who have more working hours have left the company.\n",
    "- The employee who have more billable hours have left the company.\n",
    "- The employee who are having more hours off duty have left the company.\n",
    "- The employee who are having more number of projects have left the company.\n",
    "- The employee who have spent less time working have left the company.\n",
    "- The employee who are having more number of previous exp have left the company."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Designation 'VP'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Attrition based on Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours, NoOfProjects, ActualTimeSpent, Total_Experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,8), ncols=3, nrows=2)\n",
    "plt.suptitle(\"Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours,NoOfProjects, ActualTimeSpent, Total_Experience\", y = 1.09, fontsize=20)\n",
    "\n",
    "left   =  0.125  # the left side of the subplots of the figure\n",
    "right  =  0.9    # the right side of the subplots of the figure\n",
    "bottom =  0.1    # the bottom of the subplots of the figure\n",
    "top    =  0.95   # the top of the subplots of the figure\n",
    "wspace =  .5     # the amount of width reserved for blank space between subplots\n",
    "hspace =  0.5    # the amount of height reserved for white space between subplots\n",
    "\n",
    "# This function actually adjusts the sub plots using the above paramters\n",
    "plt.subplots_adjust(\n",
    "    left    =  left,  \n",
    "    right   =  right, \n",
    "    top     =  top, \n",
    "    bottom  =  bottom,\n",
    "    wspace  =  wspace, \n",
    "    hspace  =  hspace\n",
    ")\n",
    "\n",
    "ax[0][0].set_title(\"Total Working hours\")\n",
    "ax[0][1].set_title(\"Billable hours\")\n",
    "ax[0][2].set_title(\"Hours_off_Duty\")\n",
    "ax[1][0].set_title(\"NoOfProjects\")\n",
    "ax[1][1].set_title(\"ActualTimeSpent\")\n",
    "ax[1][2].set_title(\"Total_Experience\")\n",
    "\n",
    "sb.barplot(Data_VP.Left_Company, Data_VP.TotalWorkingHours, palette=\"Blues_d\", ax=ax[0][0]);\n",
    "sb.barplot(Data_VP.Left_Company, Data_VP.Billable_Hours, palette=\"Blues_d\", ax=ax[0][1]);\n",
    "sb.barplot(Data_VP.Left_Company, Data_VP.Hours_off_Duty, palette=\"Blues_d\", ax=ax[0][2]);\n",
    "sb.barplot(Data_VP.Left_Company, Data_VP.NoOfProjects, palette=\"Blues_d\", ax=ax[1][0]);\n",
    "sb.barplot(Data_VP.Left_Company, Data_VP.ActualTimeSpent, palette=\"Blues_d\", ax=ax[1][1]);\n",
    "sb.barplot(Data_VP.Left_Company, Data_VP.Total_Experience, palette=\"Blues_d\", ax=ax[1][2]);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### By plotting the graph above, we get some insights about Junior designation:\n",
    "- The employee who have less working hours have left the company.\n",
    "- The employee who have more billable hours have left the company.\n",
    "- The employee who are having more hours off duty have left the company.\n",
    "- The employee who are having more number of projects have left the company.\n",
    "- The employee who have spent more time working have left the company.\n",
    "- The employee who are having more number of previous exp have left the company."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Designation 'EVP'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Attrition based on Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours, NoOfProjects, ActualTimeSpent, Total_Experience"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,8), ncols=3, nrows=2)\n",
    "plt.suptitle(\"Total Working hours, Billable hours, Hours_off_Duty, Touring_Hours,NoOfProjects, ActualTimeSpent, Total_Experience\", y = 1.09, fontsize=20)\n",
    "\n",
    "left   =  0.125  # the left side of the subplots of the figure\n",
    "right  =  0.9    # the right side of the subplots of the figure\n",
    "bottom =  0.1    # the bottom of the subplots of the figure\n",
    "top    =  0.95   # the top of the subplots of the figure\n",
    "wspace =  .5     # the amount of width reserved for blank space between subplots\n",
    "hspace =  0.5    # the amount of height reserved for white space between subplots\n",
    "\n",
    "# This function actually adjusts the sub plots using the above paramters\n",
    "plt.subplots_adjust(\n",
    "    left    =  left,  \n",
    "    right   =  right, \n",
    "    top     =  top, \n",
    "    bottom  =  bottom,\n",
    "    wspace  =  wspace, \n",
    "    hspace  =  hspace\n",
    ")\n",
    "\n",
    "ax[0][0].set_title(\"Total Working hours\")\n",
    "ax[0][1].set_title(\"Billable hours\")\n",
    "ax[0][2].set_title(\"Hours_off_Duty\")\n",
    "ax[1][0].set_title(\"NoOfProjects\")\n",
    "ax[1][1].set_title(\"ActualTimeSpent\")\n",
    "ax[1][2].set_title(\"Total_Experience\")\n",
    "\n",
    "sb.barplot(Data_EVP.Left_Company, Data_EVP.TotalWorkingHours, palette=\"Blues_d\", ax=ax[0][0]);\n",
    "sb.barplot(Data_EVP.Left_Company, Data_EVP.Billable_Hours, palette=\"Blues_d\", ax=ax[0][1]);\n",
    "sb.barplot(Data_EVP.Left_Company, Data_EVP.Hours_off_Duty, palette=\"Blues_d\", ax=ax[0][2]);\n",
    "sb.barplot(Data_EVP.Left_Company, Data_EVP.NoOfProjects, palette=\"Blues_d\", ax=ax[1][0]);\n",
    "sb.barplot(Data_EVP.Left_Company, Data_EVP.ActualTimeSpent, palette=\"Blues_d\", ax=ax[1][1]);\n",
    "sb.barplot(Data_EVP.Left_Company, Data_EVP.Total_Experience, palette=\"Blues_d\", ax=ax[1][2]);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### By plotting the graph above, we get some insights about EVP designation:\n",
    "- The employee who have more working hours have left the company.\n",
    "- The employee who have more billable hours have left the company.\n",
    "- The employee who are having more hours off duty have left the company.\n",
    "- The employee who are having more number of projects have left the company.\n",
    "- The employee who have spent more time working have left the company.\n",
    "- The employee who are having more number of previous exp have left the company."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The resultant distribution of the above features and graphs gives some insights as follows:\n",
    "- Majority of employee are female candidates.\n",
    "- Number of projects varies from 0 to 83, where most of the employee's no of projects varies from 4 to 31.\n",
    "- Majority of the employee total experience are less than 5.\n",
    "- Distribution of employee designation shows Junior designation having 30%, VP 28%, Senior 25%, EVP 12% and MD 4%. \n",
    "- Among all the designations, majority of female candidates are leaving the company.\n",
    "- The employees who are having more Billable hours and less working hours have left the company.\n",
    "- The employees who took more hours off duty have left the company.\n",
    "- The employees who are having more number of previous work experience have left the company."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "    \n",
    "### 2. Correlation of Features: After finding the distribution of the all feature variable with target variables, the second step we can analyze the employees attrition insights is by finding how each numerical variables are  correlated to one another. And also we can find the correlation between numerical variables with the Attrition (LeftCompany). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Renaming the entries back to  '1' or '0' in the column  'Left_Company'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Left_Company'] = np.where((data['Left_Company']=='No'),0,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "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>index</th>\n",
       "      <th>TotalWorkingHours</th>\n",
       "      <th>Billable_Hours</th>\n",
       "      <th>Hours_off_Duty</th>\n",
       "      <th>Touring_Hours</th>\n",
       "      <th>NoOfProjects</th>\n",
       "      <th>ActualTimeSpent</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Total_Experience</th>\n",
       "      <th>Left_Company</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.199538</td>\n",
       "      <td>0.152623</td>\n",
       "      <td>0.152682</td>\n",
       "      <td>0.113367</td>\n",
       "      <td>0.153070</td>\n",
       "      <td>0.143156</td>\n",
       "      <td>-0.058902</td>\n",
       "      <td>0.135530</td>\n",
       "      <td>-0.260889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalWorkingHours</th>\n",
       "      <td>0.199538</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.916494</td>\n",
       "      <td>0.828684</td>\n",
       "      <td>0.517861</td>\n",
       "      <td>0.754305</td>\n",
       "      <td>0.808926</td>\n",
       "      <td>-0.095553</td>\n",
       "      <td>-0.035171</td>\n",
       "      <td>0.009599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Billable_Hours</th>\n",
       "      <td>0.152623</td>\n",
       "      <td>0.916494</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.666517</td>\n",
       "      <td>0.568621</td>\n",
       "      <td>0.656099</td>\n",
       "      <td>0.840295</td>\n",
       "      <td>-0.112278</td>\n",
       "      <td>-0.065508</td>\n",
       "      <td>0.013803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hours_off_Duty</th>\n",
       "      <td>0.152682</td>\n",
       "      <td>0.828684</td>\n",
       "      <td>0.666517</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.316459</td>\n",
       "      <td>0.706065</td>\n",
       "      <td>0.654893</td>\n",
       "      <td>-0.078201</td>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.127351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Touring_Hours</th>\n",
       "      <td>0.113367</td>\n",
       "      <td>0.517861</td>\n",
       "      <td>0.568621</td>\n",
       "      <td>0.316459</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.361960</td>\n",
       "      <td>0.462703</td>\n",
       "      <td>-0.024771</td>\n",
       "      <td>0.044592</td>\n",
       "      <td>0.009658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NoOfProjects</th>\n",
       "      <td>0.153070</td>\n",
       "      <td>0.754305</td>\n",
       "      <td>0.656099</td>\n",
       "      <td>0.706065</td>\n",
       "      <td>0.361960</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.723133</td>\n",
       "      <td>-0.034407</td>\n",
       "      <td>-0.087255</td>\n",
       "      <td>0.064042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ActualTimeSpent</th>\n",
       "      <td>0.143156</td>\n",
       "      <td>0.808926</td>\n",
       "      <td>0.840295</td>\n",
       "      <td>0.654893</td>\n",
       "      <td>0.462703</td>\n",
       "      <td>0.723133</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.037160</td>\n",
       "      <td>-0.049996</td>\n",
       "      <td>0.013023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sex</th>\n",
       "      <td>-0.058902</td>\n",
       "      <td>-0.095553</td>\n",
       "      <td>-0.112278</td>\n",
       "      <td>-0.078201</td>\n",
       "      <td>-0.024771</td>\n",
       "      <td>-0.034407</td>\n",
       "      <td>-0.037160</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.030624</td>\n",
       "      <td>-0.075361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Total_Experience</th>\n",
       "      <td>0.135530</td>\n",
       "      <td>-0.035171</td>\n",
       "      <td>-0.065508</td>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.044592</td>\n",
       "      <td>-0.087255</td>\n",
       "      <td>-0.049996</td>\n",
       "      <td>0.030624</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.378733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Left_Company</th>\n",
       "      <td>-0.260889</td>\n",
       "      <td>0.009599</td>\n",
       "      <td>0.013803</td>\n",
       "      <td>0.127351</td>\n",
       "      <td>0.009658</td>\n",
       "      <td>0.064042</td>\n",
       "      <td>0.013023</td>\n",
       "      <td>-0.075361</td>\n",
       "      <td>0.378733</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      index  TotalWorkingHours  Billable_Hours  \\\n",
       "index              1.000000           0.199538        0.152623   \n",
       "TotalWorkingHours  0.199538           1.000000        0.916494   \n",
       "Billable_Hours     0.152623           0.916494        1.000000   \n",
       "Hours_off_Duty     0.152682           0.828684        0.666517   \n",
       "Touring_Hours      0.113367           0.517861        0.568621   \n",
       "NoOfProjects       0.153070           0.754305        0.656099   \n",
       "ActualTimeSpent    0.143156           0.808926        0.840295   \n",
       "Sex               -0.058902          -0.095553       -0.112278   \n",
       "Total_Experience   0.135530          -0.035171       -0.065508   \n",
       "Left_Company      -0.260889           0.009599        0.013803   \n",
       "\n",
       "                   Hours_off_Duty  Touring_Hours  NoOfProjects  \\\n",
       "index                    0.152682       0.113367      0.153070   \n",
       "TotalWorkingHours        0.828684       0.517861      0.754305   \n",
       "Billable_Hours           0.666517       0.568621      0.656099   \n",
       "Hours_off_Duty           1.000000       0.316459      0.706065   \n",
       "Touring_Hours            0.316459       1.000000      0.361960   \n",
       "NoOfProjects             0.706065       0.361960      1.000000   \n",
       "ActualTimeSpent          0.654893       0.462703      0.723133   \n",
       "Sex                     -0.078201      -0.024771     -0.034407   \n",
       "Total_Experience         0.005933       0.044592     -0.087255   \n",
       "Left_Company             0.127351       0.009658      0.064042   \n",
       "\n",
       "                   ActualTimeSpent       Sex  Total_Experience  Left_Company  \n",
       "index                     0.143156 -0.058902          0.135530     -0.260889  \n",
       "TotalWorkingHours         0.808926 -0.095553         -0.035171      0.009599  \n",
       "Billable_Hours            0.840295 -0.112278         -0.065508      0.013803  \n",
       "Hours_off_Duty            0.654893 -0.078201          0.005933      0.127351  \n",
       "Touring_Hours             0.462703 -0.024771          0.044592      0.009658  \n",
       "NoOfProjects              0.723133 -0.034407         -0.087255      0.064042  \n",
       "ActualTimeSpent           1.000000 -0.037160         -0.049996      0.013023  \n",
       "Sex                      -0.037160  1.000000          0.030624     -0.075361  \n",
       "Total_Experience         -0.049996  0.030624          1.000000      0.378733  \n",
       "Left_Company              0.013023 -0.075361          0.378733      1.000000  "
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Getting only the Numerical data to check for Correlation\n",
    "numerical_data = data.select_dtypes(include=np.number)\n",
    "numerical_data.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation between Numerical variables with LeftCompany"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Left_Company         1.000000\n",
       "Total_Experience     0.378733\n",
       "Hours_off_Duty       0.127351\n",
       "NoOfProjects         0.064042\n",
       "Billable_Hours       0.013803\n",
       "ActualTimeSpent      0.013023\n",
       "Touring_Hours        0.009658\n",
       "TotalWorkingHours    0.009599\n",
       "Sex                 -0.075361\n",
       "index               -0.260889\n",
       "Name: Left_Company, dtype: float64"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_data.corr().Left_Company.sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the Heatmap for all the Numerical variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x178baac3a90>"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_data = numerical_data.corr()\n",
    "f,ax = plt.subplots(figsize = (15,10))\n",
    "sb.heatmap(corr_data,vmax=1,square=True,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "    \n",
    "### The above Correlation **Heat Map** gives graphical representation (ranging from 0 to 1) of how each numerical variables are correlated between each other. By this mapping, we can derive some of the insights as below:\n",
    "\n",
    "- The highest correlation we can find in the above Heat map is between Total Working Hours and Billable hours of the employee when compared to other feature variables. It represents as the empoloyees who are having more working hours gets to spend more billable hours.\n",
    "\n",
    "- The second highest correlation we can find is between Total Working Hours, Billable hours and Actual Time spent by the employee. It represnts the employee who have spent less number of hours among these have left the company.\n",
    "\n",
    "- There is a good correlation between Total Working Hours and Number of Projects. This represents as number of working hours increases, more number of projects done by the employee. \n",
    "\n",
    "- Total work Experience of an employee have a good correlation with the target variable 'LeftCompany'. As from the insight  we got from the distribution above, the employee who has more number of work experience have left the company.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
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 },
 "nbformat": 4,
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}