imputation_visualization_int.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import os\n",
    "from sklearn.base import TransformerMixin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"C:\\\\Users\\\\HP\\\\Desktop\\\\datas\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('bank_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <td>FEMALE</td>\n",
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       "      <td>RURAL</td>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0  Unnamed: 0.1        1     2       3      4        5    6    7  \\\n",
       "0           0             1  ID12101  48.0  FEMALE    NaN  17546.0   NO  1.0   \n",
       "1           1             2  ID12102   NaN    MALE   TOWN  30085.1  YES  3.0   \n",
       "2           2             3  ID12103  51.0  FEMALE    NaN  16575.4  YES  0.0   \n",
       "3           3             4  ID12104  23.0  FEMALE   TOWN  20375.4  YES  3.0   \n",
       "4           4             5  ID12105  57.0     NaN  RURAL  50576.3  YES  0.0   \n",
       "\n",
       "     8    9   10   11   12  \n",
       "0   NO   NO   NO   NO  YES  \n",
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       "4   NO  YES   NO   NO   NO  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(df.iloc[:,[0,1]],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols=['ID','age','gender','region','income','married','children','car','save_act','current_act','mortgage', 'pep']\n",
    "df.columns=cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>region</th>\n",
       "      <th>income</th>\n",
       "      <th>married</th>\n",
       "      <th>children</th>\n",
       "      <th>car</th>\n",
       "      <th>save_act</th>\n",
       "      <th>current_act</th>\n",
       "      <th>mortgage</th>\n",
       "      <th>pep</th>\n",
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       "      <td>FEMALE</td>\n",
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       "      <td>ID12104</td>\n",
       "      <td>23.0</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>TOWN</td>\n",
       "      <td>20375.4</td>\n",
       "      <td>YES</td>\n",
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       "      <td>ID12105</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>RURAL</td>\n",
       "      <td>50576.3</td>\n",
       "      <td>YES</td>\n",
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       "      <td>NO</td>\n",
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       "      <td>NO</td>\n",
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      ],
      "text/plain": [
       "        ID   age  gender region   income married  children  car save_act  \\\n",
       "0  ID12101  48.0  FEMALE    NaN  17546.0      NO       1.0   NO       NO   \n",
       "1  ID12102   NaN    MALE   TOWN  30085.1     YES       3.0  YES       NO   \n",
       "2  ID12103  51.0  FEMALE    NaN  16575.4     YES       0.0  YES      NaN   \n",
       "3  ID12104  23.0  FEMALE   TOWN  20375.4     YES       3.0   NO       NO   \n",
       "4  ID12105  57.0     NaN  RURAL  50576.3     YES       0.0   NO      YES   \n",
       "\n",
       "  current_act mortgage  pep  \n",
       "0          NO       NO  YES  \n",
       "1         YES      YES   NO  \n",
       "2         YES       NO   NO  \n",
       "3         YES       NO   NO  \n",
       "4          NO       NO   NO  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 600 entries, 0 to 599\n",
      "Data columns (total 12 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   ID           600 non-null    object \n",
      " 1   age          575 non-null    float64\n",
      " 2   gender       581 non-null    object \n",
      " 3   region       586 non-null    object \n",
      " 4   income       580 non-null    float64\n",
      " 5   married      583 non-null    object \n",
      " 6   children     583 non-null    float64\n",
      " 7   car          591 non-null    object \n",
      " 8   save_act     591 non-null    object \n",
      " 9   current_act  591 non-null    object \n",
      " 10  mortgage     595 non-null    object \n",
      " 11  pep          600 non-null    object \n",
      "dtypes: float64(3), object(9)\n",
      "memory usage: 56.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ID             100.000000\n",
      "age             95.652174\n",
      "gender          96.729776\n",
      "region          97.610922\n",
      "income          96.551724\n",
      "married         97.084048\n",
      "children        97.084048\n",
      "car             98.477157\n",
      "save_act        98.477157\n",
      "current_act     98.477157\n",
      "mortgage        99.159664\n",
      "pep            100.000000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "nulls_before=df.isna().sum()\n",
    "values=df.count()\n",
    "comp_rate_before=100 - ((nulls_before*100)/values)\n",
    "\n",
    "print(comp_rate_before)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df.isnull())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DataFrameImputer(TransformerMixin):\n",
    "\n",
    "    def __init__(self):\n",
    "        \"\"\"\n",
    "        Impute missing values.\n",
    "\n",
    "        Columns of dtype object are imputed with the most frequent value \n",
    "        in column.\n",
    "\n",
    "        Columns of other types are imputed with mean of column.\n",
    "\n",
    "        \"\"\"\n",
    "    def fit(self, X, y=None):\n",
    "\n",
    "        self.fill = pd.Series([X[c].value_counts().index[0]\n",
    "            if X[c].dtype == np.dtype('O') else X[c].mean() for c in X],\n",
    "            index=X.columns)\n",
    "\n",
    "        return self\n",
    "\n",
    "    def transform(self, X, y=None):\n",
    "        return X.fillna(self.fill)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = DataFrameImputer().fit_transform(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.age = df.age.round(0)\n",
    "df.children = df.children.round(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "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>Complete rate bef. imp.</th>\n",
       "      <th>Complete rate aft. imp.</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>95.652174</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gender</th>\n",
       "      <td>96.729776</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <td>97.610922</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>income</th>\n",
       "      <td>96.551724</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>married</th>\n",
       "      <td>97.084048</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>children</th>\n",
       "      <td>97.084048</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>car</th>\n",
       "      <td>98.477157</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>save_act</th>\n",
       "      <td>98.477157</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>current_act</th>\n",
       "      <td>98.477157</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mortgage</th>\n",
       "      <td>99.159664</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pep</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Complete rate bef. imp.  Complete rate aft. imp.\n",
       "ID                        100.000000                    100.0\n",
       "age                        95.652174                    100.0\n",
       "gender                     96.729776                    100.0\n",
       "region                     97.610922                    100.0\n",
       "income                     96.551724                    100.0\n",
       "married                    97.084048                    100.0\n",
       "children                   97.084048                    100.0\n",
       "car                        98.477157                    100.0\n",
       "save_act                   98.477157                    100.0\n",
       "current_act                98.477157                    100.0\n",
       "mortgage                   99.159664                    100.0\n",
       "pep                       100.000000                    100.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nulls_after = df.isna().sum()\n",
    "comp_rate_after = 100 - ((nulls_after*100)/values)\n",
    "values = {\"Complete rate bef. imp.\":comp_rate_before,\n",
    "          \"Complete rate aft. imp.\":comp_rate_after}\n",
    "comparison_nulls = pd.DataFrame(values)\n",
    "comparison_nulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "        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>age</th>\n",
       "      <th>income</th>\n",
       "      <th>children</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.733050</td>\n",
       "      <td>0.031243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>income</th>\n",
       "      <td>0.733050</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.047471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>children</th>\n",
       "      <td>0.031243</td>\n",
       "      <td>0.047471</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               age    income  children\n",
       "age       1.000000  0.733050  0.031243\n",
       "income    0.733050  1.000000  0.047471\n",
       "children  0.031243  0.047471  1.000000"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>ID</th>\n",
       "      <th>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>region</th>\n",
       "      <th>income</th>\n",
       "      <th>married</th>\n",
       "      <th>children</th>\n",
       "      <th>car</th>\n",
       "      <th>save_act</th>\n",
       "      <th>current_act</th>\n",
       "      <th>mortgage</th>\n",
       "      <th>pep</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ID12101</td>\n",
       "      <td>48.0</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>INNER_CITY</td>\n",
       "      <td>17546.0</td>\n",
       "      <td>NO</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ID12102</td>\n",
       "      <td>42.0</td>\n",
       "      <td>MALE</td>\n",
       "      <td>TOWN</td>\n",
       "      <td>30085.1</td>\n",
       "      <td>YES</td>\n",
       "      <td>3.0</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ID12103</td>\n",
       "      <td>51.0</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>INNER_CITY</td>\n",
       "      <td>16575.4</td>\n",
       "      <td>YES</td>\n",
       "      <td>0.0</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ID12104</td>\n",
       "      <td>23.0</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>TOWN</td>\n",
       "      <td>20375.4</td>\n",
       "      <td>YES</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ID12105</td>\n",
       "      <td>57.0</td>\n",
       "      <td>MALE</td>\n",
       "      <td>RURAL</td>\n",
       "      <td>50576.3</td>\n",
       "      <td>YES</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NO</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        ID   age  gender      region   income married  children  car save_act  \\\n",
       "0  ID12101  48.0  FEMALE  INNER_CITY  17546.0      NO       1.0   NO       NO   \n",
       "1  ID12102  42.0    MALE        TOWN  30085.1     YES       3.0  YES       NO   \n",
       "2  ID12103  51.0  FEMALE  INNER_CITY  16575.4     YES       0.0  YES      YES   \n",
       "3  ID12104  23.0  FEMALE        TOWN  20375.4     YES       3.0   NO       NO   \n",
       "4  ID12105  57.0    MALE       RURAL  50576.3     YES       0.0   NO      YES   \n",
       "\n",
       "  current_act mortgage  pep  \n",
       "0          NO       NO  YES  \n",
       "1         YES      YES   NO  \n",
       "2         YES       NO   NO  \n",
       "3         YES       NO   NO  \n",
       "4          NO       NO   NO  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='married',y='income',data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='children',y='income',data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='gender',y='income',data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(25,10))\n",
    "plt.rc('font', size = 25)\n",
    "plt.rc('legend', fontsize=15)\n",
    "plt.rc('axes', labelsize=25)\n",
    "plt.rc('xtick', labelsize=20)\n",
    "plt.rc('ytick', labelsize=20)\n",
    "\n",
    "sns.boxplot(x=\"children\", \n",
    "            y=\"income\", \n",
    "            hue=\"gender\", \n",
    "            data=df, \n",
    "            palette=\"coolwarm\").\\\n",
    "            set(xlabel='Number of children', \n",
    "                ylabel='Annual Income',\n",
    "                title='Annual Income due to number of Children')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S7+q8PXQQSQ4VuBTLZHPr4meK3zl0FhHAAb8Hvpfv6uwOnEUSQAUuheJW26HAL9DoSGk9bwDfynd1Xho6iLQ3FbiUyWRz6+C/Je8SOotIP64EDs53db4bOoi0J81GkSKZbO4Q4DFU3KQ97Ak8msnm/it0EGlPasGlQCabmwKcD3wudBaROjj8ZXmyGmkpA6ECl3CZbO4TwIXAWqGziAzSI8CX812dj4UOIu1BBS6hMtncMODHwDHovDZJjoX4UZZnhg4irU8FLoEy2dx04E/Ap0JnEWmSC/EDUOaHDiKtSwUuYTLZ3M74//yaQ1KS7hFgr3xX5/Ohg0hr0ijKBMlkc98CrkPFTdLhg8B9mWyuM3QQaU1qwSVAJpsbiZ8g+eDQWUQCcPgL8R6b7+rUB5q8RwWuzcWnAFwOfCJ0FpHArga+lO/qnBc6iLQGFbg2lsnmtsBfciQTOIpIq7gf2C3f1flG6CASno7BtalMNrcbcBcqbiKlPgLcncnmNgsdRMJTgWtDmWzuK8Bf0UTJIpWsC9yZyeZmhA4iYanAtZlMNvcD/CVudPK2SHWTgOsy2dz+oYNIODoG1ybiS9z8EvhO6CwibSab7+o8KXQIGXoqcG0gk82NwLfaDgidRaRN/Tzf1fmj0CFkaKnAtbhMNjcWuAxdCUBksH4FHKlz5dJDBa6FZbK5MfjTAHQ9LJHG+B1waL6rc3noINJ8KnAtKpPNjQauAj4TOotIwpwPfFVFLvk0irIFxcXtSlTcRJrhIOCC+JJSkmD6BbeYTDY3CrgC2DV0FpEE+zJwdugQ0lwqcC0kLm6XowElIkPh4Ew294vQIaR5VOBaRNxdciGwW+gsIilydCab+3HoENIcKnCt4yzgC6FDiKTQCZls7vDQIaTxVOBaQCabOw44JHQOkRT7VSab+3LoENJYOk0gsEw2dyg62C3SCpYCn893df4jdBBpDBW4gOJL3vwVTZws0ip6gB3yXZ2Phw4ig6cCF0gmm9sGuBUYFziKiPSWBz6a7+p8K3QQGRwdgwsgk82tgZ+lRMVNpPVkgKviqfKkjanADbF4lpIrgDVCZxGRqrYDzo0vUyVtSgVu6J2F/88jIq1tPyAKHULqp2NwQyiTzR0BnBE6h4gMyBfyXZ1XhA4hA6cCN0Qy2dwngeuBEaGziMiAFICt812dz4UOIgOjAjcEMtncusB9wJTQWUSkLg8D2+W7OheGDiK10zG4JstkcyOAi1BxE2lnWwK/Dh1CBkYFrvmOQ4NKRJLgq5lsbmboEFI7dVE2USab+xT+uJu+SIgkwwJ8V+UjoYNI/1TgmiSTzU3F99vrfDeRZHkK2Crf1bkgdBDpm1oWTRCfHHo+Km4iSbQJ0BU6hPRPBa45vg3sGjqEiDTNEZlsbufQIaRv6qJssEw2tynwIDA6dBYRaaqXgS3yXZ2F0EGkMrXgGiiTzQ0D/oCKm0garI1mJmppKnCNdSQ6JUAkTQ7MZHN7hg4hlamLskEy2dwGwCPoEjgiafM2sGm+q/Pd0EGkN7XgGiAeNfk7VNxE0mgqcHLoELIyFbjGOAyYETqEiATzlUw297HQIaQ3dVEOUiabWxN/4ueE0FlEJKjH8CeALwkdRDy14AbvZFTcRAQ2B74TOoSsoBbcIGSyuR2AO0PnEJGWMR/YLN/V+VLoIKIWXN3ic95+FTqHiLSUcehzoWWowNXv68BWoUOISMv5fCab+3ToEKIuyrpksrlJwLPoIqYiUtnD+AEny0MHSTO14OpzLCpuIlLdlsABoUOknVpwAxTPWPIkMDJ0FhFpaa8AG+m6ceGoBTdwESpuItK/9+EvnSWBqAU3AJls7gP4+Sb1xUBEatEDbJDv6nwndJA00gf1wByH3jMRqd1E4KehQ6SVWnA1ymRzHwHuC51DRNrOQmD9fFfn66GDpI1aI7U7IXQAEWlLY4CjQ4dII7XgahDPEn5H6Bwi0rbmARkdixtaasHV5oehA4hIWxsPHBU6RNqoBdePeOTko4CFziIiba0HWDff1dkdOkhaqAXXv6NRcRORwZsIfCt0iDRRC64PmWxuLeAFYFToLCKSCLOAdfJdnfNCB0kDteD6diQqbiLSOKsBB4UOkRZqwVWRyeYmAi/juxVERBrlaWDTfFenPnybTC246g5GxU1EGm9j4LOhQ6SBClwFmWzOgMNC5xCRxDoidIA0UIGrbGfg/aFDiEhifSaTza0fOkTSqcBVdkjoACKSaMNQL1HTaZBJmUw2NxV/oUKNnhSRZnoXWCvf1bkodJCkUgtuZTNRcROR5psM7BY6RJKpwJWIB5ccHDqHiKTGgaEDJJkKXG8zgA1DhxCR1Ng1k81NCR0iqVTgejsgdAARSZWRwH6hQySVClwsk82NBvYKnUNEUkfdlE2iArfC54CO0CFEJHW2yWRzm4QOkUQqcCuom0BEQtHhkSZQgQMy2dw4NFxXRMLZO3SAJFKB8z4HjAsdQkRSayN1UzaeCpz3xdABRCT19ggdIGlSX+Ay2dwodOkKEQlvj9ABkib1BQ74GDAhdAgRSb1tM9ncGqFDJIkKHOwaOoCICGDAf4cOkSQqcCpwItI6dg8dIElSfbmcTDa3NvCf0DlERGILgVXzXZ0LQwdJgrS34NR6E5FWMgbYPnSIpFCBExFpLTuHDpAUqS1wmWxuOPCp0DlERMp8MnSApEhtgQO2RKcHiEjr2TaTzY0PHSIJ0lzgPhY6gIhIBSPR51NDqMCJiLQeHYdrgDQXuB1DBxARqWKn0AGSIJXnwWWyufWAF0LnEBGpYhEwId/VuSR0kHaW1hacWm8i0spGA1uEDtHuVOBERFrT1qEDtLu0FriPhA4gItKPbUIHaHepK3CZbG4Y8IHQOURE+qEW3CClrsAB7wfGhQ4hItKPD2SyuTGhQ7SzNBa4LUMHEBGpwUj0eTUoaSxwHwwdQESkRpuHDtDOVOBERFrXxqEDtDMVOBGR1qUCNwipKnDxDN3rhs4hIlIjFbhBSFWBA9YDLHQIEZEarZ/J5kaEDtGu0lbgMqEDiIgMwEhg/dAh2lXaCtx6oQOIiAyQuinrpAInItLaNgwdoF2pwImItLa1QgdoVypwIiKtbc3QAdqVCpyISGtTgatTagpcfA7cxNA5REQGSAWuTqkpcMDk0AFEROqwRugA7SpNBW5K6AAiInUYn8nm1PtUBxU4EZHWp27KOqjAiYi0Pn1+1UEFTkSk9U0IHaAdqcCJiLQ+Fbg6pKnArRY6gIhInVTg6pCmAjc2dAARkTqtEjpAO0pTgRsdOoCISJ3UgquDCpyISOtTgauDCpyISOtTgauDCpyISOsbGTpAO1KBExFpfWn6rG6YNL1pKnAi0q7S9FndMCNCBxhCw0MHkPY3iiWLJtMze6p1z5lq3fPWsFkLp9usJZPpWT4MFzqeJFSB8W9AZ+gYbSdNBW5J6ADSOoaxfNkk5nRPtULP6tY9b5rNnj+dWYun26xl06ybyVawVZkzcoItGDOOReNGsWTCcJZPMmMcMD2+iQyVF0IHaEdpKnCLQweQ5pjAvJ7J1lNYne4502z2guk2e9F0m7Vkms1mihVYjZ4RHTZv9HgWjhvNkvEjWDYJmGjGZHSdQGkP+oJeBxU4aRljWLRgMj2FKVbomWaz50232Yum2awl0232sql022TrGT7J5o5ahQVjxrB4lZEsm2C4Vc2YiK7WLsm2NHSAdqQCJw03nGVLV2XO7KlWmDPVuudOt1kLffff7GWr22w3xXqGT2LuiAk2f8w4Fo0fxdKJw1jeYcZY/JRq6v4T6U0Frg5pKnBq4g+YcxOZ1zPFerpXt9nzptE9f7rNWjTdZi1b3bqXT7VuW405Iyfa/FHjfPffhBEsm4jv/psKTA39CkQSQgWuDmkqcKluwY1l0fzJ1tM9le65q9vsedNt1sI1/HEqN5UCk61nuD9O9V7330TDTTKjA+gInV8k5VTg6pCmArcodIBGGMHSJasxp7t4nMoPqpi1eDqzlq1u3TbZeoatytyRq9j8sWNZPG4USyYM84VqHDAudH4RqYsKXB3SVODmhg7Qm3OTmFuYbD2FaTZ77jRmL5hmsxetYbOWTrPZbooVhq3KnBETbf7ocSwcP4qlq4xgWYcZE0DdfyIpMzt0gHaUpgLXtD+Q8SyYO9l6ClMozJlus+dPt1nF0X/Lp9Jtq9mcYvff2DEsWWXEiu6/ScCkZuUSkcR4I3SAdpSmAtfd3wojWbp4Mj2zp1j3nNWte950m7Vgus1aOo3ZS1e3bqZYz4gO5o6YYAvGjmXR+JEsnRh3/62CLkgoIs3zeugA7Sg1Be5/ht/06qb20m2rW3ex+2+k7/7rNUvFeGBafBMRaRUqcHVITYH72cjfzwV2Cp1DRKQOKnB1SNMM1W+GDiAiUoeFRAUNMqmDCpyISGvTAJM6qcCJiLQ2dU/WKT0FLiosBOaEjiEiMkAqcHVKT4Hz1IoTkXajAlcnFTgRkdamY3B1SluB01VxRaTdqAVXp7QVuMdCBxARGSAVuDqpwImItDYVuDqlrcA9HjqAiMgAvRI6QLsy51zoDEMr6ugBJoSOISJSgzeICmuEDtGu0taCA7XiRKR9PBA6QDtLY4HTcTgRaRcqcIOgAici0rpU4AYhjQVOXZQi0i5U4AYhjQVOLTgRaQfvEhVeCh2inaWvwEWFN4B3QscQEenHg6EDtLv0FThP3ZQi0urUPTlIaS1w6qYUkVanAjdIKnAiIq1JBW6Q0lrgHgodQESkDz3Ac6FDtLu0Frj7gELoECIiVTxEVEjZPIqNl84CFxWWAreEjiEiUoVGUDZAOgucd33oACIiVdwfOkASpLnA3RA6gIhIFTeFDpAE6S1wUeE54IXQMUREyjxIVHgtdIgkSG+B89SKE5FW8/fQAZJCBU5EpLWowDVI2gvcTcCy0CFERGJvAveGDpEU6S5wUaEb/TGJSOu4Rue/NU66C5yn0wVEpFWoe7KBVOB0HE5EWsNi9IW7oVTg4G78vG8iIiHdRlSYGzpEkqjAadouEWkN6p5sMBU479rQAUQk9VTgGkwFzrsEWBQ6hIik1pNEBc2s1GAqcABRYTZwVegYIpJaar01gQrcCueGDiAiqXV16ABJpAK3wvXAq6FDiEjqPAf8M3SIJFKBK4oKy4ELQscQkdQ5R7OXNIcKXG/nhQ4gIqmyGH3uNI0KXKmo8AxwV+gYIpIaVxAV3g4dIqlU4FamwSYiMlTODh0gyVTgVnYJMD90CBFJvKeICreFDpFkKnDlokIPcEXoGCKSeOeEDpB0KnCVqZtSRJppIXB+6BBJpwJX2S3AS6FDiEhiXUpUmBU6RNKpwFXiz0nRtysRaZbfhA6QBipw1f0GTcAsIo33GFHhztAh0kAFrpqo8Brwh9AxRCRx1HobIipwfesCloQOISKJMR/4Y+gQaaEC15eo8B90LE5EGudcokIhdIi0UIHr38+ApaFDiEjbWwCcGDpEmqjA9ScqvAj8KXQMEWl7vyYqvB46RJqowNXmZ8Cy0CFEpG3NwR/TlyGkAleLqPAscFHoGCLStk4jKrwbOkTaqMDV7gRgeegQItJ2ZgGnhA6RRipwtYoKTwGXhY4hIm3n5HgSdxliKnADczygS8uLSK3eAH4VOkRaqcANRFR4DLgydAwRaRs/Iyro+pKBqMAN3PGhA4hIW/gPmpYrKBW4gYoKDwF/Dh1DRFrecUSFxaFDpJkKXH2+C3SHDiEiLetZNM1fcCpw9YgKbwI/Dh1DRFrWMUQFTfEXmApc/c4G/h06hIi0nDvRxBAtwZzTqPe6RR0fBu4FhoeOIiItYRHwofi8WQlMLbjBiAoPAr8OHUNEWsYJKm6tQwVu8H4CvBY6hIgE9zBwUugQsoIK3GBFhTnAUaFjiEhQy4CvERWWhA4iK6jANUJUuAT4R+gYIhLMaUSF+0OHkN5U4Brnf4GFoUOIyJB7Dvh/oUPIylTgGiUqPI+/MKqIpIcDDiYqLAgdRFamAtdYJwFPhw4hIkPmd0SFW0OHkMpU4BrJzzt3KLowqkgavAp8L3QIqU4FrtGiwm3AcaFjiEjTfZOoUAgdQqpTgWuO44EbQocQkaa5hKjwt9AhpG8qcM0QFZYD+6MTwEWS6FX8qGlpcSpwzRIV3gK+hD8BVESSYTGwN1Hh7dBBpH8qcM0UFW4Hfho6hog0zBFEhbtDh5DaqMA1XxdwTegQIjJovyMqnBM6hNROBa7ZooIDDgReDh1FROr2b3Tcre2owA2FqPAusC+giVhF2s9bwBeICotCB5GBUYEbKlHhX8APQ8cQkQFZCuxDVHgldBAZOBW4oRQVTgH+GjqGiNTsu/FgMWlDKnBD7yvAi6FDiEi//kRUOCN0CKmfCtxQiwrdwO5Ad9ggItKHB4FDQoeQwVGBCyEqPArsBugSGyKt511gL10Cp/2pwIUSFe4E9sYfxBaR1rAM+BJRIR86iAyeClxIUeEa/DE5FzqKiOCArxEVNFF6QqjAhRYV/gQcFTqGiHAUUeH80CGkcVTgWkFUOB04MXQMkRQ7Nv5/KAlizql3rGVEHWfjrwguIkPnDKLCkaFDSOOpBddavglcGjqESIqcD3w7dAhpDrXgWk3UMQrIAbuEjiKScJfiR0zqmo0JpQLXiqKOVYCbgW1CRxFJqMvwxU2n6SSYClyrijomA3cAm4aOIpIwKm4poWNwrcpfYmcG8FDYICKJcjkqbqmhAtfKosJb+CJ3R+AkIklwBbCfilt6qMC1uqhQAD4D/D10FJE29hdU3FJHBa4d+Elf9wT+HDqKSBs6AfgyUWFJ6CAytDTIpJ1EHQacDhwROopIG1gMHExUuCB0EAlDBa4dRR3fA04CLHQUkRY1C3/Jm9tCB5FwVODaVdSxD3ABMCZ0FJEW8xzQSVR4JnQQCUsFrp1FHTsAVwFTQkcRaRF3AHvGp9lIymmQSTuLCncB2wPPho4i0gL+COyi4iZFasElgZ/15Erg46GjiARyDFHhuNAhpLWoBZcE/hvrzsDPgOWB04gMpUX4UwBU3GQlasElTdSxC76rZnroKCJN9g6wB1HhztBBpDWpBZc0UeFGYEvgutBRRJroBmBLFTfpiwpcEvk5LHcFsoCmJpIkWYi/QOlniAqvBc4iLU5dlEkXdWyHn4cvEziJyGA9BOxPVHg8dBBpD2rBJV1UuBv4EP4aWCLtaDl+5p6PqrjJQKgFlyZRx2HAaWj2E2kfLwEHEhVuDx1E2o8KXNpEHVsAF6MrhUvr+yPwv0SFntBBpD2pwKVR1DEO+DlwODA8cBqRcrOAw4gKl4YOIu1NBS7Noo4PAmeiGVCkddwAzNQISWkEFTiBqGN/4Bfo5HAJ523gJ8BviQr6UJKGUIETL+qYCET4i6mOCBtGUmQR/iK+J+pYmzSaCpz0FnV8AN9tOSNwEkm+y4AfEBVeCB1EkkkFTiqLOvYFTgHWCh1FEud+4Ciiwh2hg0iy6URvqSwqXAxsApwMLAmcRpLhVeAgYBsVNxkKasFJ/6KOjYEzgE+HjiJtaT5+ENPJRIX5ocNIeqjASe2ijh2BHwKdoaNIW3DAn4EfEhVeCR1G0kcFTgYu6tgSf6WCfdCJ4rIyB1wDHEtUuDd0GEkvFTipX9SxAfB9/HGV0YHTSHgLgAuA04gKT4cOI6ICJ4MXdawJfAc4FFglcBoZem8CvwbOIiq8EzqMSJEKnDRO1LEa/kTxbwGrBU4jzfcYcCpwIVFhUegwIuVU4KTxoo7xwCHAd9F5dEl0HXAqUeH60EFE+qICJ80TdYwCdgP2x4+8HBU2kAzCIvyIyFN10VFpFypwMjSijlWBLwIHADsGTiO1ewh//cBziQpvBs4iMiAqcDL0oo718K26/YGNAqeRlT2KL2qXEBWeDR1GpF4qcBJW1LEtvlW3LzA1cJo0exy4BF/UngodRqQRVOCkNUQdI4DP4lt1uwNjwgZKhadYUdR0XE0SRwVOWo8fhfkxYOf4thWaGLxRnmFFUXs0dBiRZlKBk9YXdUwCdsIXu08CmwMWMlKbcMATwJ3AP4F/EhVeDBtJZOiowEn7iTqm4gtdsYW3YdhALWMRcC++mN0J3ElUmB02kkg4KnDS/qKO9+EL3U7AFsDGwMSgmYbGu8BdFFtncL9mFBFZQQVOksnPj7kp/qKtxftNaL+ZVRzwOvAC8HzJ/QPAU0QF/QcWqUIFTtIl6pjAimJXXvgmEObY3gLgRXoXseLPLxIVFgbIJNL2VOBEiqKOYfiuzUlAR4X7So9NBJYDS6rc5gNzgJ74Nqfkfha+kL2hlphI46nAiYhIIuncIhERSSQVOBERSSQVOBERSSQVOBERSSQVOBERSSQVOBERSSQVOJEhYGYzzMyV3HTNNXmPmX3JzB40sznx38f/hc5UDzOL4vwzmrDtrcv+D+X7e44KnMjQug04FjizfIGZjTazw83s32b2jpnNNbMnzewMM1u32gbN7KD4OXPNrGBmt5rZblXWPa/sQ6L8tknZ+jP7Wd+Z2bIq+9rBzK4xs1lmNt/MHjGzb5vZ8Arr9refw/p4/RkzO8vMXjCzhWb2rpndY2bfrfacKtsZa2bHmtnT8XbeMrNLzGzTgWynj+0XX+OMsse3B/6Mn0nnLPzfxz8asc92Vfw7LXv4Nfx7cyxQqGU7IxodTET6dKtzLip/0MxGADcBO+IvRPoX/NUBtgGOAA40sx2cc0+UPe+XwHeBV4DfAqOA/YCrzewI59xKhTR2OtBd4fF3yv79EP4DpZKP4ye5vrbC69kduBxYCFyMn7Xl88Bp8Wvcp8o2r4r3We6+Siub2WeAK/CfZX+P97UKfsLtPYFTquynfDujgRvibPfh35+145ydZrazc+6eWrZVh078FHEHOufuatI+2p5z7jUgAv9loZbnqMCJtIY98R+uNwGfds4tLy4ws2OB/wccDXy15PEd8MXteWAb59zs+PFfAPcDvzSzvzvn8hX2939VHu/FOfcQlQsOZvav+Mdzyh6fiC+2y4AZzrn74sd/CtwM7G1m+znnLqqw2b86587rL1e8vfWBy/BXVdjFOfdM2fKRtWwn9h38+38ZsG/x/Tezi4G/An8wsy1Kfy8NtGZ8/1oTtp1q6qIUaQ3rx/e5Ch+iV8X3U8seL3bbnVgsbgBx4fo1MBr4SoNzAmBmmwPbAa8CubLFe8dZLyoWtzjXQuAn8T+/0YAYEb619o3y4hbvb0ktGzEzY8V7+f3S9985dxVwB7AZ/nJMDVPssmTF7+jFki7ZTMl67zOzM+Mu2EVxF+zfzGybCtt87xhYfFzv/rh7+DUzOzVuqWJmO8dd2T1mNtvM/mhmkyts75Nmdo6ZPRGvu8DMHjOzY8xszABf7yZx1+PL8et408wuNLONB/TGDYBacCKt4fH4flczO72syBWPp91Y9pyd4/tKx2uuBX4ar3NMheW7xi2tZcBzwM3OuZ4B5D00vv+9c678GFxfuW7HT0C9g5mNds6VX7/uQ2b2bWAMvnje4px7pXwjcetsb+At4Boz2xbfAhsBPAlc75xbXONr2QBYB3jGOVfpiufXsqI79pYat1mLh/Ddv3sAW9K727gbwMy2Aq4HVgOuw3fHTomf808z29M5d02FbR8B7Ipvfd4KfBo4CljNzK4CLsJ/MTkH2AHYP97urmXb+QH+aht3xeuPwb/PETDDzHap8PtfiZl9Ns4+Erga/zf3PmAvfBfwJ51zD/S3nQFzzummm25NvgEz8Nd2i6osN/wxK4cvdqcDv8B36S0GzgCGl6w/Pl53TpXtTYmXv1n2+Hnx4+W3HuDwGl/LWGA2vjiuXWH5vfE2P1Ll+Y/FyzcteWxmlVxLgbOBMWXb+HC8/Cb8cbfy572E77at5fV0xs+5usryvePlFzfpb6P4O8mUPT4CXwgWAjuVLVsT/wXgdWB0yeNRvK1C2fs7Ov67Wobv0t2pZNkw/PFHB3yobD/rE0/KX/b48fH6+5Y9Xtz/jJLHVo3/Xt4BNitb/wPAXOCBAb5neSDf33rqohRpAc7/r90b/wGxMfAt/DG3T+JbPRe63t+UO+L7aqPJio9PKnv8dmBfYF18odog3g/AmWZ2SA1xvxhv91rn3MsVlteT7UV8q2NjfPFeM95PHt9a/EPZNlaP73cCPgd8DZiMf10n41tk15jZlBpeT73vZbN14n8/v3LO3Va6wPkBFycD04FPVXjuGc65J0vWX4T/IjAM3w1+W8my5cCf4n9uWbafF+K/zXL/F99/pobXcSD+vTvGlQ2Scs49jj9e+2Ez26yGbQ2IuihFWkB8POMCfBfR4fjjbvPx3UFnALeb2T7OHxMaiF4fTs658kLxAnCKmT2N7zo60cwqdTuWKhbB3wwwS1HxorLvZYs/cEs/xOcDl5rZ3cDDwJfM7CTn3MPx8uEl9z8seV2zgB+Y2fvx3V8HAz+vM2fVvENk+/h+XTOLKizfML7fFCjvpqw06rQ4iOX+Csteje/fV/qgmY0HjsQPgtqIlS8KvFal4GWKr2PLKq9jo/h+U+CJCsvrpgIn0hqy+CHpRzrnSgvHtWa2N/54zemsGHBSbFV0UFl/rZJenHN/N7NX8R9YmwGPVlov/pa9A/60hErHfmrJNrHWbM65l83sGuDLwCfwxQ58l1fRlRWeeiW+wG3b3z5oYN4GKw76qHZKRdEqFR6rlHVpDcveG3kaH+e8Gf8ePoZvAb6Nv5Av+GO7o/vJBitex8H9rFfpdQyKCpxIaygOJFlpEINz7mEzm4X/Jj/ZOfeuc25esSCZ2RrOudfLnlb8dr/S6MI+vI0vcOP7WKevwSVFTwNb47+Z92otxOf7rYf/QH1hALkoy/V0yc/dFZ5TLIBja9h+cVsbVVlez3vZCMVCtLtz7m9DvG+A3fHF7Xzn3MzSBWa2BpUHL1VSfB1bOuceaVy8/ukYnEhrKH4TLj8VoHgScrEVUToy8Ob4/rMVtrdr2Tp9MrMO/Gg5hz/uVWmdMcABwHLg931srq9cnwDGAXe5lUdQVvPR+P69guicm8WK8/M2r/Cc4mP5Grb/PPAfYCMzW6/C8gG9lw10d3z/8SHeb9H74/vLKywbyCkTwV6HCpxIa7gjvv9R8VylEhG+t+Ve59ycksfPju9/bGarFh+Mz6E6HD8Tyrklj0+Pj031Ymar4EfyjQFudM69USXjPvgRcddUGVxSdBl+xNx+ZrZ1yX7GACfE/zyrLMNKH37m/RB/DOcdVj7t4Nfx/Yml52SZ2fvwQ+LBD4cv3eYG8flY73XFxYMoiu/lyWY2rGT93fEfzE/Q+xhh6bRnM1d6BxrjKnzxPdzMPldpBTPb3szGNWn/+fh+Rtk+1wdOGsB2zsW3so+JT+foxcyGWRPmrgR1UYq0ihPxU1l9CnjKzP4BLMAPMtk2/vnI0ic45+4ys1Pxs3A8YmaX4afq2hd/3tQRrvdsJZsAt5ifgeRJ/DlkawH/hR+N9wLw9T4yFgeXnNPHOjjneszsYHyhu9XMLsIP/vhv/CjJy/DHc0rdbmbP4E8xeBV/PGxHfEtsPvBlt/J5en/AjzTcA3jYzK7Dd2PuEb/+M5xzt5Y95yb8SMv16N26OxXfTbw3cI+Z3YQfiblPvP+vupVPwC8WwqU0gXNuiZnthT//LWdmd+FbrfPx04htgx/Gv0b8WKMVz1f7jpltATyIf092w58Tt04tG3HOvRsfR74SuDt+bx/H9wSsg/8CMxn/BauxmnFeh2666db7Rj/nwcXrTAV+iS8+C/HdkS/hvwFv0sfzDsIXhnnAHHxLY7cK662NH/n4ACsGCxSAfwM/Bib0sY9N4/wvU3I+Xj+veUf8QJTZ+AL9KL5ltdLz8ef83YYf6bcQ/4H9FH5S6vX72McIfOF/KH7OXOBOYP8q6+epcM5ZvGws/sTrZ/Gt37eBSyk7d6tk/Qfx5w+uOsi/jfOqZYqXrw504Qd6FF/js/gvCvsDI0rWjSg7D61k2cx42cxa/z7jv5k/4790LMAXpu/H77vDz61KjfvPxL/PZ+PfcU/8O/4jsMcA37M8NZwHZ/HKItJEcRfMLcCxrsJky9JezGwS/oTpU5xz3w8cJ3UsvlSOcy7T13o6BicytI4xXQ8uCT6ObwGfGjpIWljJ9eDw3cz90jE4kaGRp/dlZ8ovSyNtxDl3Nc04ZiR9KV4Prqi7vyeoi1JERBJJXZQiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJIKnAiIpJI/x+/TUO3aJxXMwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1800x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "male_income = df[df['gender']==\"MALE\"]['income'].sum().round(0)\n",
    "female_income = df[df['gender']==\"FEMALE\"]['income'].sum().round(0)\n",
    "\n",
    "slices=[male_income,female_income]\n",
    "sex=[[slices[0],'male'],[slices[1],'female']]\n",
    "\n",
    "plt.figure(figsize=(25,7))\n",
    "plt.pie(slices,labels=sex)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1800x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 630.075x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(25,10))\n",
    "plt.rc('font', size = 17)\n",
    "plt.rc('legend', fontsize=12)\n",
    "plt.rc('axes', labelsize=17)\n",
    "plt.rc('xtick', labelsize=17)\n",
    "plt.rc('ytick', labelsize=17)\n",
    "sns.pairplot(data = df, kind = \"scatter\", hue = 'gender')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QkSR1ZohIkjozRCRJnc3rEElyZZL7kky0y3U9dUckWZ/kniRXJNlvmH2VpFE0r0OkdVxVLW6XpwAkWQpcDJwM7A6MAxcOsY+SNJIWQohM5ZXAuqq6qKruA9YAy5McONxuSdJoWQgh8ldJ7kzy7SSHt2UHA2snG1TVFuCGtvwhkqxOMp5kfMOGDXPRX0kaGfM9RN4BPBHYBzgLuDTJAcBiYFNf203Arv07qKqzqmpFVa0YGxub7f5K0kiZ1yFSVd+pqs1VdX9VfQr4NvASYAJY0td8CbB5rvsoSaNsXofIFAoIsA5YPlmYZBfggLZckjRH5m2IJNktyYuS7JRkUZI/Ap4PfBX4AnBIkpVJdgJOAa6pqvXD7LMkjZpFw+7AVjwGeD9wIPAgsB44qqquA0iyEjgDOB/4DnD0kPopSSNr3oZIVW0AnrWV+stpAkaSNCTz9nCWJGn+M0QkSZ0ZIpKkzgwRSVJnhogkqTNDRJLUmSEiSerMEJEkdWaISJI6M0QkSZ0ZIpKkzgwRSVJnhogkqTNDRJLUmSEiSerMEJEkdWaISJI6M0QkSZ0ZIpKkzgwRSVJnhogkqTNDRJLUmSEiSerMEJEkdbZgQyTJ7km+kGRLkpuT/OGw+yRJo2bRsDuwHT4M/ALYC3g68OUka6tq3VB7JUkjZEGORJLsAqwETq6qiaq6Cvh74HXD7ZkkjZZU1bD7MLAkzwD+sap27in7r8BhVfXyvrargdXt6lOA6+aso49+S4E7h90JaQp+N2fWflU1NlXFQj2ctRjY1Fe2Cdi1v2FVnQWcNRedGjVJxqtqxbD7IfXzuzl3FuThLGACWNJXtgTYPIS+SNLIWqgh8gNgUZIn9ZQtB5xUl6Q5tCBDpKq2ABcD702yS5LnAq8Azhtuz0aOhwk1X/ndnCMLcmIdmutEgE8ARwIbgXdW1aeH2ytJGi0LNkQkScO3IA9nSZLmB0NEktSZIfIol+SmJPcmmehZnpOk+somkry63eactv53+/b1obb8mL7yw9vyE/vKl7XlD7seKcmaJA/0vf/dM/8voIWq/e7+IsnSvvLvtd+rZT1la9qyZ/e1PSbJVdPs/8ok9/V9By+dlQ/zKGaIjIaXV9XiyQX4cVu+W295VV3Ys80PgFWTK20QvAq4YYr9rwJ+1tt+G13Y9/67Dbi9Hv1uBF4zuZLkqcDOvQ2ShOaWR12+g8f1fQdf/sibqJchoulcCjw3yePb9f8MXAPc3tsoyW8Cvw+8FXhSEq8S1kw6D3h9z/oq4Ny+Ns8D9gbeBhyd5DfmqG/CENH07qO5qeXR7frrefh/XmhuhDkBXAR8lYf+h5e21/8FliQ5KMmOwKuB8/varKL5o2dyJP2yOezfyDNERsMlSe5ul0t6yu/sKb87yUF9250LvD7J44DDgEt4uFU0h6UeBD4NvCbJY7axX3/Q9/5XDPaxNCImRyNHAuuB2yYr2pHwq4BPV9UDwOcZ7JDW6X3fwffNYL9HwkK9AaMGc1RVXT650jMhubSqfjndRlV1VZIx4CTgS1V1b3P4+V/382+AFwB/0RZ9keZK4ZcydeD0+1xVvXaAz6HRdB7wLWB/Hj4a/j3gl8Bl7foFwOVJxqpqwzbs+8+q6uMz1tMR5EhEj+R84ASmPpT1Oprv0KVJbgd+COyEh7Q0g6rqZpoJ9pfQ3O6o1yqau3rf0n4HLwIeQ89kvGaXIxE9ktOB/03zl2C/1wPvAT7WU/Zs4KIke/SUPbbvNN9fzHgv9Wj3RuDxVbWl57u0D3AE8GKakz4mvZ0mXE5v15Nkp96dVdV9s9vd0eFIZLTd3XeO/PH9DarqZ1X1D9V3f5wkvwMsAz5cVbf3LH8PXM9D/xKcAO7tWf5jW/7qKa5V2XMWPqcWuKq6oarG+4qfB3yvqr7W+x2kCY+nJTmkbfccHvr9u7cniM7o+/5dPRef59HEe2dJkjpzJCJJ6swQkSR1ZohIkjozRCRJnRkikqTODBFJUmeGiLRAtM95uWnY/ZB6GSKSpM4MEUlSZ4aINKKS7DLsPmjhM0SkaST5D0m+0z6H+5Yk70ryhime731Ekm8k2ZxkS5JvJnle374mnwF+YJIzk/ysvVfT5/tuVjnZ/g1JftC+99okUz62NY0/btvcl2Rjks8m2bev3ZVJrk9ySJKvJ9lMc9t0abt4F19pCkmWA18D7gLeR3Pn4TcDW/ra/QHwGeCbwMlAgGOAf0jyn6qq/+7H5wN3tG1/G/hT4AEe+hzxVcAngKuBdwB70TxT40dTdPXvgLfQBMJHgT3bff5jkqdX1Z09bZcAX6d5YuVFNDcjlLZPVbm4uPQtNA/Yuh/Yv6dsKfAzoGjuYLwLsBG4oG/bnWnuZPztnrI17Xaf7Wv7IZqHKj2uXV9E8xz79cDOPe1e2G5/U0/Zv2/L3ty3z4NpQu8DPWVXtm2PH/a/rcuja/FwltSnfZb3kcCXq+rGyfJq/qrvPQR0JLA7cH6SpZMLTbhcDvxO+/jWXh/pW/8msCMwefjpWTQjjzOr6l9HClX1NeCf+7Z9Nc1o4tK+978DuI5f33J/0q946LNfpO3m4Szp4fakGU38yxR1vWVPbn9eNkW7SXsA9/Ss39xXf1f7c/f2537tz+um2Nd1wL/re/+dgZ9M894/7Fu/varumbKl1JEhIg0mPa8nR/JvBG6Zpn3/c74ffIT9Tv6c6kE/6VvfAbgbeNU0++yf83AORDPOEJEe7qc0v3CfNEVdb9n17c87q+ryGXrvm9qfBwJf6at7ct/69TRzJd+tqk0z9P7SQJwTkfpU1YM0ZzG9NMn+k+XtfMMf9jT9Ks1I4KQkj+3fT5KxDm8/ThNiq5Ps3LOvFwL/tq/tZ2lGJ++dakdtf6VZ5UhEmtq7gRcBVyX5MM1puG+mGSk8Hqiq2pxkNc0pvtcmOR/4MfAE4LB2Py8Y5E2r6oEkfwGcDXyr3eeewFuBdcDinrZXJTkd+LMkT6WZm5kA9gdeQRMyawb/6NK2M0SkKVTV99q//v+GJlBuBz5Mc5jrGcB9bbuLktwGvAt4O/Cbbdvv0gRBl/f+RJIA7wQ+SDOh/jpgJXB4X9u3Jbka+BN+HRg/Ar4BfK7L+0uDSNVU83eSppLkb4HVwOL2sJc00pwTkabROyfRro/RjAi+ZYBIDQ9nSdO7PskFNNeG7AO8CdiVaSaypVFkiEjTuwz4feC3aG5NMg68tqq+PdReSfOIcyKSpM6cE5EkdWaISJI6M0QkSZ0ZIpKkzgwRSVJn/x+9H57UZbUypQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rc('font', size = 17)\n",
    "plt.rc('axes', labelsize=17)\n",
    "sns.countplot(x='gender',data=df)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}