038.graphs day 2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = sns.load_dataset('iris')\n",
    "# Default available in seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0             5.1          3.5           1.4          0.2     setosa\n",
       "1             4.9          3.0           1.4          0.2     setosa\n",
       "2             4.7          3.2           1.3          0.2     setosa\n",
       "3             4.6          3.1           1.5          0.2     setosa\n",
       "4             5.0          3.6           1.4          0.2     setosa\n",
       "..            ...          ...           ...          ...        ...\n",
       "145           6.7          3.0           5.2          2.3  virginica\n",
       "146           6.3          2.5           5.0          1.9  virginica\n",
       "147           6.5          3.0           5.2          2.0  virginica\n",
       "148           6.2          3.4           5.4          2.3  virginica\n",
       "149           5.9          3.0           5.1          1.8  virginica\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sepal_length', ylabel='petal_length'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x = df.sepal_length , y = df.petal_length)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'plt_lenght')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df.sepal_length, df.petal_length,'o')\n",
    "plt.xlabel(\"sep_len\")\n",
    "plt.ylabel(\"plt_lenght\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 9., 23., 14., 27., 16., 26., 18.,  6.,  5.,  6.]),\n",
       " array([4.3 , 4.66, 5.02, 5.38, 5.74, 6.1 , 6.46, 6.82, 7.18, 7.54, 7.9 ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['sepal_length'],alpha = .5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\nayak\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sepal_length', ylabel='Density'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df['sepal_length'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = sns.load_dataset('tips')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243661f6020>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x = 'total_bill', y = 'tip',data = df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     151\n",
       "Yes     93\n",
       "Name: smoker, dtype: int64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['smoker'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24367370dc0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GTnqx7zClgzNgsv0MfSqtEe3ed6xyr/VL5tu+pu1EC0hyN56EIwD2XsZ6amAMt+w4MGNWG+sEmJ37dvKEYqrHSXmN94Sj2MzLWOMFR7Ift+Ot6zbXllm+RqJ9p3IcTpV7xTtOBjAlgwFMSUllZhlrXbeksADPvtaDE/2j2N1xGufGJzIyO7Uz0ONxogUkuZu2NWARKRCRV0XkGV1joOSlUi5mta77wKZlaN/1Ku5+7FV85/lAaVh1aXFO3yqIV7dRunTOgLcCOA6gUuMYHOXkGfPZ7MswFN4a9KHrrA9lxYWor5yDxprA88I/bjdUeXHrqkWo8BZgcOzijH1ELwOUFBXgr585ho3LF0KCQ9jV0Y1bVy3Ct392MuFH9nR+bsk8d2rKwLGeYfQM+9FQVYKlDZUoLEw8N3HD1W2s4tBLSwCLyCIA7wfwNQDbdIzBaU6eHJrNvqyes3V9K1rry7Hu6vrQx+3q0mLcuboJuzq6cXtbIz7xTy9b7iN8GeBXnUNYt2QBduw/Edq2fV0rPJ7EH9nT+bkl89ypKQNPHT6D+546GtrmgU3LsOn6hUmHsBPLHZmQbZdr5yNdSxDfAPBFAEaC7VzDyavNZrMvq+c8tO8EjpweRueQL/Rx+yNti7Bj/wlsXL4wFKiJ9lFc4Jmx7Y79J7Bobim2b14BjyBmw5x0fm7JPPdYz3AofM1t7nvqKI71DCd8/VyXj3ePzjaOB7CIbATQr5Q6mGC7LSLSISIdAwMDDo0uc5y82mw2+4r1HEMB/aP+0MftFZfPhX/SgAiS3sf4xLTltmVzClBcKNjwUOw62nR+bsk8t2fYepveYfdfsswexfrpmAH/DoDfF5FOAI8DWCci/xy9kVJqp1KqTSnVVldX5/QYbedkP9jZ7CvWczyC0PM8HkFzbVnESadk9hHrtWvKinH3j16NOwNL5+eWzHMbqkost1lQ5f5KBvYo1s/xAFZK/blSapFSqhnAHQD2K6U+7vQ4nObkGfPZ7MvqOVvXt2L5oqqI55nbPX34DNrXtSa1j1jjmZg2Es7A0vm5JfPcpQ2VeGDTshkVG0sbqhK+fq5jFYd+Wq+EE5H3AviCUmpjvO3cciWckzdNnM2+zCqI7rM+lEZVQVi99lnfRRQVeDA+MZ3wDLrVeDqHfEldSZbOzy2Z55pVEL3Dfiyo8mJpQ1VSJ+DcgDfydAzvikz2mG3ZVjSehac8wkuRKX3plm2Fy0QdLetaKZcwgCml0IpVttU6vxzXX16d8r7trKPljJpyTX4sdFFMqbZUzOayrXyoa82mG41S+hjAeS7V0Mrmsi2317Wy/7D7MIDzXKqhlS1lW9EzwakpA6XFha6ua82HGX6+4Rpwnku1pWJhoQebrl+I1vnl2sq2rNZ6H9i0DI+/3IX2da0RPSfcVNfK/sPuwwDOc2YxfvSJq3ihVVjowfWXV+P6yx0caBirmeB9Tx3FXWta8OiLXbhrTQsKPMD6JfNx3cK5rjkBx/7D7sMAznNWpWCN1aXoHPJhyHcRJUUF8F2chm9iCk01ZWiqKUX3ufGYFROJKiqiW14uqJqDqelAvwlzewBxXyPWTFAkcJLw2z87CQB4z5W1rglfAGisLsUDm5bNKAFsrC7VPbSMc2t5IQPYBdL95QwvBTM/3j+49zj+6D1XYHxyGg/tC3ykb6otwT3rWiMCILzMK1EZmNX37//AUvzjf55E19CF0PZlczw42HUehgIKBLhuURXWXV0fOqbomWBDlRcfaVuEhVUluHvdYuw5GLjbhttmht3nxvHN/Sdw15oWiABKAd/cfwKrGqtdvQTh5vJCXgmX4+z+5TRvNGl+jN/5/KlQ0H32psX4/i9OzfgIbF46nOgmlbG+f9ealtCs1Vvkwd9vXoHPR/Ul/m/LFqB5XvmMY64uLcYnbmgKvUlE9zHO9f9Bw73w5iA++t2XZjz++JZ3Y3XLPA0jcoZLbn5q+YvIKogcZ/eZ8SHfRdy1pgWN1SUwVGTLyUQtKBNVVMRbOgj/+njvyIy+xH0jF0PbmMsmz7avxTduXxEK3/Dtr6gtj9uXIhdrafO1e5mbywsZwFkq2ZCw85fTMBTePu/H939xCr89fwEFYt1yMvprMwASBUSs74d/CPMWeTAd1abfP2lgfGIq4jFz2cRQyvL4B8asjz+Xa2nztXuZm994GMBZKJWQsPOXs3PIh3v3HIF/0sCeg6dRU1qMresvtZx8+vCZGTXA4QGQKCAaq0vx4G3LI75//weW4pkjZ0JfP3jb8tDX4cfTWGMdMqkefy7X0obP/B/f8m48277WFeugibj5jYdrwFkolTUvO9eAo9cYG6q8+MQNTVi2sApT0wYaw6ogYjXPidXeMPzk3sblC1HgAVY2VuPKulJMTgEDY5cqMH56vC/uibzwE46Jtk90jCa3r6PmOhe0zWQ7ylyRakjY9csZL/jN/r2zrbRI9U0lXohHh+37rqmP+6Yw23EQ2Ygn4XJFqh+rzfXQ1S3z0FIX++RTIrE+6jVWl0YsifzhD1/GL04OpnQSK5W1avN43tVcCwB46a0hnBoYQ/dZ6+WD7nPjSR+/mz/OUu5hHXAWms3VafEkUydsblNdWoRdW27A5PQ0asrmhGa+5lgaqry4va0RWx7tSHrJwzAUSosL0L5+MQwF7Dl4Gj3D/rhvKlaz3f/1oetQXVqMnrDOa6leipuJHsREs8UAzkJ2hkQya8SxtlnVWAOPRyJmr7euWmR5O/olMW4jNOS7iLfP+0Mn97xFHrSva8Wujm7cu+GamG8qVifLvvzj17Dlxhbs2HcytN1sTjja2YM4VW69ootmh0sQWcquZYV4Z/3NUrdfdZ6NWxkQviSSzO3ozUD/wx++jJ7hi3hzYAyfXtuChiov/JMGduw/gR13rIw7a461ZHFVfYVtywdO1wPncgkcZQZnwC4XK8jO+i7ijd5RbNt9CJ9e2xK3y1b4kgiAhA1hOod8eHDvcdze1ogvPnE4Yub76Itd6Bn248LkdNw3lViNZ65ZUIlnHfpkYLdYb4ZLbDjJSbmJM2CXi3VCr6jAExEG8U76mUsie7euxU1X1eGBTdfFnYX2jfixcfnCGUsVO/afwK2rFiW1bBDrZNkV88ps+WTw1qB1GL41OLt64GRm0/HeDDkzzk+cAbuMVZ2s1Qm98YnpUBjsOXh6Rh/dB29bjiFf4PJfM1xf7xkN9V/YcmMLrqqvwDULKnHFvMjZWn2lFwUe66WKAg+SWjbI9MmyrrM+y/F1n/XhyvmprQ0nO5uONauPfjOMta5O7sMAdpFYQfC7V8/Hri2rI24j331uPBQGPcN+PPpiF7bc2IKVl89FgceDr/zktYgOZVfXV4Ret2fYjx37TobqZ6NDsbm2DO9sqrEMm1R69GbyZFlZ8O4Z0eMrLU79f4l4SwvhY49V3RL+Zmhio/X8wAB2EXPt1WxXCAAP7j2O8jmF+MpPXsPG5QvRPeTDxPQ0oAIzUUChwONB1+AYrmmoQmNtCX7vGwdQXVqMz960GBXeAhiGwq/7RvDptS2hEjLg0oxxzD8J38R0aMbddXYcU4aBf/iDd+Avnz6KrqELaKotwV9/8DqMT0zjrUEfPAK8NRToCVxfOQeNNbFL4zKxLlpfOQdb17fO6KJWXzkn5r7Nn3H0eJK9U0WsWX3nkE9Lo/VUjjGZ53LNOnUMYBcZ8l3E7W2NEUsJ7eta8Wb/KG5va8Sujm780XuuwKvd57H9ud9EBE9pUQHu+8lr2Lr+Klw1vxwbljVgV0c3bm9rxBdinEhrqi3B4NgEPvPPr0Q0CP/m/hOh2fNXNl6LhXO9GL4wFVE7vHV9Kx55oQvnxics20dm+iRZY00ZWuvLseXGFhgK8AjQWl+OxpqymPsuLhTc/aNXZ4wnlTtVWM3q7a77TobVMX7rYysxMaUS/szd3J/XabwU2UUO//Ycbt/54owg+M6d78B/f/SgZY9fc5stN7Zg2gC+/4tT+PqHr8cXnjiMu9a0WPb/NR8PD43o74f39zVfL9Z25v43rVgYCqZkLhlOdxYW65LnWPu2qkE2L9NON5Cc7nVgdYzt6xdb/m5EX6bNy7lnxfIfkzNgF4m1ljg4ejHUdze6x6+5jaEu1fgqXOrTa7VtY00J7lrTgpP9Y0n19/VdnIq7nbn/8I/siT7W2zELi7XGHGvf0UUJ4eNJ94Sh0xeHWB1jrN+N6KUU3hzUPixDc5FYJWeXzS0JPR6rx68neIsbb5EHjdWXtrfatvvsBXz7ZycxMW0k1d+3zGt9u3hzO3P/Cyq9oVKu0uJCNNWWzHiO+bE+k20lY/0co/M0ulTPjvI4p1gdY6zfjeilFDf353UaA9hFYtXOvuPyajx423I8ffgMakqLse3mqyK22bq+FbWlxXjmyBls37wCSy+rwvbNK/D04TNoX9case0Dm5aF+vU+ffgM7v/A0pjfN1+7pqxwRh/gretb8eQrp0N/f0fTXLzeMxqqhb195wu4Z11rKISj10UzeZeEWD/H5YuqXNPEx+oYr1tUlVSjIjY0sg/XgF0mXivHziEfzvouwltUgPGJaQxfmESltwhlcwrgn7zUfCd6+6ICD8ajqhy6z/pQXOhBeXEhRDCjCqL7rA+lwbseH3t7NKIPcFtTDRprSvDWYGCb+so5mDaA939z5rriri2rcWFyesbH+kyvQ1r9HAHkek/aCOkcowv68zqN/YDJeckG5Wx6IPNMPOUQnoRzm0zXYtrx+smesEmllAtgW0lyBwZwjrK6xc87m2pwQ0stCgvTX9q3a4Y5v8I6WOvKI4N1NrWwOttKEtmBAZyjwjuORfdw+MDyy9KeCcZqVnP1PWtT6pVQ4IHlFWcFUe8RnNFSPmIA56hYHcfu3XME1y2sSntWGKtZzanBsRnNd+LpGfbjkRe6QpdHKwU88kIXVjbORfO8yDFyRkv5hgGsUTprrPE6jvWNpF8QH6tZzcVJA3uP9Sa9FFFf6cW58YnQlXHm67BmlIh1wNqke3eE8I5j4bxFHkxOq7R7yZrNaqJrd397bjylCx5yvWbU6btmUH5hGZomdtSxTk0ZePrI2/jzH78W0SxnV0c3fvCpd6U1CzYMhf2/7sOR08OhZjW1pcX4x+dPoWfYH7M8LNZr2V0z6kQ3Lpa6kY1YhpZN4pVnxbo9jWEodA358PbwBYz6p3DZ3BJcOb8Mf/vh63FhYgqlxYX47vNvomvoArqGfOhM0O7RZBgKbw360HU2cvv3ts5HWXEhXjg1hGkDofD1FnlQUlSAF94cTCr87F7bdSoYk+3zS/bJtzaXDGBNYtW9Lqj0WobL+66px89P9ONE31iooqCptgSfvakVf/GToxEz4GH/JF797flQ03Srdo8mqzAzt19cV44vPXlkRqXF1z50HdoffzWiYbuTs0KngpFNZ5yVj584uAasSay10WkDluFyrGcYR04Ph8IXADYuXxgKX3PbHftP4EsbrsG/dpwOPfbQvhM4cnrYct3WKszM7ftHL6Jr6AIefTFQxXD3usW4a00Lhkb96Bq6EDG+ZNaE7VpPzWQfiHBsOuOsTDZYylacAWsSq+71pbeGLMOlZ9g/o11grHaRJ/rHQnetMB+Lbvdoitd6cfjCJLxFHvQM+yP6+961pmXG9olmhXbOblK9am62dDRKz2f5+ImDM2CNrFoYxpp1NVSVxGwXGP31lGHMeMwjsAyoeK0XK71FM2bpD962PNTtLHz7ROFn5+zGqcoK803y2fa1eHzLu/Fs+1pXfxzWLR8/cTCAs0yscFnaUInrFlVFlIY9ffgM/uqDyxK2Tdy6vhXLF1VZBlRzbRn+1qJV5LyyYtRXzgkF0GN//G7s2rIajTUl2Hbz1SmHn53LBk4GY671+c1luV6yOBssQ8tC8VpB/vbcON4evoAx/zQaquZgSX0lTg9fmNFS8K1BX6glZKIqiKkpAy92DuHtcxdQUlyInvPjaJl/6aRd9PKBeYPNkmIPisPGF++MNW9jQ8lwcZtLtqPMJU6fEZ6aMnCsZzji1vVmUx+r8GyqDcyE791zJKnx5eMZbqIwDOBc4tSM0TAUus/68Er3eXw57IKO8HC06tX72ZsWW96wM9744oU8kcvxQoxcMpsLNVIRHrydQ76Iu+FG19VaVR3E6kMR64y1YSj89HgfZ8BEYTj9yFLhZ4Qbqrz47E2L0b5+MUqLC7H/131J95Cwqr01lwOefPUMvvzj1+LeDRewPjkSqw9FrDPWs6mCYB8GcjvOgLOUGXrRPX93Pn8KW9e3orq0GD3D/rhXgcVad722oQLbdh/Cp9e2hAIxXl2tVc1yY3VpSjWyqdZ4cs2Y8gFnwFnKDL0dd6yc0fP3oX0ncOuqRaFtY5VzxZp19o1cjAjePQdPz7j7cXSYRpdjFRZ6UioFS7XGMx+viqL8wxlwFvN4BOMT05YzRwnLuVhBFmvWOeKfRFNtSSh4d+w/gUdf7MKWG1twVX0FrllQmVTT9VSa7KR6VVk+XhVF+YcBnOViXXZrZmO8IIv13NfODOOeda345iyDdzZSveWQU5cbJyPfOnSRc1iGluXireP2jsQPMqvntq9rxd6jPXjvkvm4bmEV5pYUoaS4AKP+qawKl2TXgJ24MzTXoskG2VEHLCKXA3gEQD0ABWCnUuqheM/JxgBO9D9+vO+b3+sd9mNOoQejFydQMacY00phTmEBDGXAIxJxBVzX2fGIK9t8E1M455vEqH8K88qLUegRnL8wiUpvUej1RBBqwlM+pxCdgz48cfA0NixriGgv+cCmZaivmIOBsQk0VHkxbRhoqCqdMRtOJezCty0tLsTE9DRqy+YkHZARPYrnFKK+IvJqPvP7x3tGcKJ/FLs7TuPc+AQevG053r+sIaX64njHlUw9dvjz51cEbhXVM8zZMkXImjrgKQB/qpR6RUQqABwUkeeUUq9rGMusJJoVxfs+AMtZ6a6Obtze1ohdHd34zI2L8Y/Pnwz12/3Wx1Zi/OI0vrjnCKpLi/HZm67EqH8q4k7D226+Cj/4ZSfOjU+gfV0r9r/Ri9tWNeKrzxwLbXP/xqX4/RWX4es//U3Eya37njqKLTe2hPoHt69rxf986iju3XBNUseUTI9h8xjDXzPVn29jTVnc13/0xS7cG/wZrVk8L+mgj3dcidaiY/VTfuSFLpwbn+BsmeJyvApCKdWjlHol+PdRAMcBLHR6HOlIdIa++6wPb/SO4NNrAz10q0uLQ9+3eu6O/SdCdzjeuHwhvvrMMWxcvjD0/SOnh/HF4CW/t65ahP7RixF9gf2TBrY/9xvcumpR6PU+8Z6WUPia23z1mWOoryyJ2X4yejzhx5RKVUK8Y0ymkiHRvmK9vnn8HV1nk66WSLSvRNUbsfopm2Nh5QbFo7UMTUSaAawE8JLF97aISIeIdAwMDDg+tnjizYoMQ+GV7vPY+fwpfGv/SXzvwCncuboJ1aXF6B/1x3yu2ds3/E9T+IUS5rJCvMoI/6SBCxNTlttUegstAyV8JSp8HGZ5WyrdzBIdY6IOaIn2Fe/1vUUeTBtIustaon0l6tAVbyzRr0UUTVsAi0g5gD0APqeUGon+vlJqp1KqTSnVVldX5/wA44g3K+oc8oV6KgCXZmcfaVuE+RXemM9Vauafpug+wLH6ApvP8RZ5UFpsHbT+KWNGze/W9a148pXTluMxZ3qp1PEmOsZElQyJ9hWvh3H7ulY8c+RM0tUSifaVqPVlvGONfi2iaFoCWESKEAjff1FKPaljDOmINyuKNSO6qr4CzbVlls81Q8P88/6NS0NNz71FHtSWFePzv3tV6KKJuoqZt4zfdvNVePKV06HXe/i/TuH+jUsjtrl/41J8O1h6tnV9K771sZX45h0rUVZcgHPjEzPGEz7TS6VXa7xjTKa/a6J9WX3/KxuvRUlRQWidOdkesskcV7yewFbPN9/Q8qGfLaVHRxWEAHgYwFml1OeSeU42V0FE17TGOmv+7/esxZXzyyNu915aXIhrGypwccpAdWkxFBSKCzxQSkGCVRDzK7x4a2gMf/3M6/jIOy7H/Io5uLymBGVzCjFyYQqjF6cwr6wYRR7Bef8kyucUYexi4M8CDzBtAGd9E6jwFuLvfvoGOrqGQ8Hwvmvqcfr8OIbGJuCfmsaFiWlUlhRhYmo6bhVEMnW8kVUQBZicNlCTYhVEvH2Ff7+uPFB5kKgsb7b7SuX56Y6FXCtrytDWADgA4DUAZkp9WSn1bKznZGMAx5LorHqisiarkigACVtGJjMulza6JsoF2RHAs5FLAQzED7tfdQ7h578eDJ2k2XPwNHqG/Xh8y7vxrubamOHdOeTTekcJXg1GlJasqQN2vVg9EgxD4e3z/lAj8/D62Lpyb8ySqCXta7X2RuDVYESZwW5oDuoc8oVu4QNcqpD4ysal6Bu5gN7zsUM23tn6TPfNZWcyosxgADso1iz29bdH8EcPd2DCMGaEbFNtCUqKCtA34sd372xDU20JgEtn6xurS7H3WG9aDdpnO27WtxKlh0sQDrLq8NVUW4LmeWX49NoWvNEzgu0fuR7b/vUw/JOBuw/fs64Vt+98MfTR/8HblmPhXG+ooiDeskWyDdoTLSVkU2cyIjfhDNhB0TWjTbUl+MyNi/HFJw7jW/tP4hv7TmB8chp7twaK/nfcsRL3PXU0Ilzv3XMENWVzQvWofSP+YH+Ixbh73eLQpc+pNGhPtJSQSg0wESWPM2AHmVdVXXX3GpwcGENpcQG2PHpwRmOcZ9vXYnXLPLzw5mDCE28NVV584oamiMY8W9e3YkFl8g3a+0bin8hLtZcvESWHAWyjZEu1ftM/NuOebCb/pIGuIR+GfBdRVOBB+/rFMNSlcjVvkQeCQD1xc20Zpg3MaMzz0L4TeN+1C2bs17w82T9poKHKi1tXLUKBBygu8MAwVNxATXT3i1wpU8uVcVJ+YADbxGp91ao3bfQygLfIg+rSYty6ahFEAn0ezpwbx4h/OqJnr1mudsc7G/G5XYdCrQ6rS4ssQ3xgzI8r50eG5cT0dETry/AbfaZTVpYrZWq5Mk7KH1wDToNhKHQOjuGlU0PY90Yfuod8qC4tBnBpvfa/Tg2FbgV/amAMv+kbDQXmnoOn8bUPLcMnbmjC938R6J72nedPwePxYFdH94xytT973xI88kJXxN2QYzXdsTpBVls2B7s6uvGn71sy40af6ZSV5UqZWq6Mk/IHA3iWzJ4O/3G0F5/8wcv440cO4hv7TuBT72lGQ1Ug/MzetG8N+kKlYkffHgkFZs+wH6VFhTOWEP7qmddD/YBN/kkDb/SNomfYH/HY5PR0Sk1y7t1wDU72j1rOmmdbVpYrZWq5Mk7KHwzgWeoc8uHI6eEZ4fn3/+83oVvGm71pu89emnlF3wJ+1D9pGQoFUf8y4TfiDH+spmxO0reHN0+mrV9Sn/SsORmp3nJel1wZJ+UPBvAs9Y344zZGD2/BWFpcGNquZ9iPR1/swl1rWvCdj6/CkoZKy1BYsqAyYla77earUFtabDnTjdcuMZrHI7huYZUtZWXmskqsi0SyrUyN5XSUbdiMZ5ZODYzhJ4fO4DvPn5pxgcLXP3w9jveO4pkjZ3DvhmtwbUMFNjx0YMbJtg+tXIjGmjLLk3dNNSURLSkLPMDgWKAywrxZZzpn8O1owWg17vCLRLLxxBa7wpEm7IZmJ3MN+ETfWEQN7t99ZAWWXhZ5y3gAltuG36gz10IhmbsFE1EIu6HZyeMRrLu6HovryrGqsRrjE1NorClDU00pus+NR9xSyOMRXFFbjrt/9GpEDe4bvSNYVF2CSm9hztWl6uzORuQWDOA0eDyC5nnlaJ4XCJx4dab9o/5Q+N65uimiBjcXb2PO/hBE6eNJOBvFqzM1A+vWVYtm1ODm4m3MeUKLKH2cAdso3sfydzXXYvvmFXijdySp25hn+8d49oewDy+Pzl8MYBvF+1huBtbCuSXYaVE5kYu3MU/UH4IS4+XR+Y1LEDZK9LE8Vg3ubG5jnum7YJAzeHl0fuMM2EbJfCyP3sa8jfnKxrlJf4znrMk9WE2S3xjANkvmY7nVNmYlRTJSuQsGZTdWk+Q3Vy5BpPPxPJnn6vz4bxgKA6MX8em1Lbh73eKIxj92NZXh8oZzWE2S31w3A07n43kyz9X58d9q3+3rWvHoi4EaYjtmTVzecBarSfKb6y5FTucS2WSeq/MS3Fj73nJjC5YsqLQlJHmJMVFGWP6P6boliHR6vibzXJ09ZWPte+Xlc22bobJnLpFzXBfA6fR8Tea5OnvKxtp3k40fWdkzl8g5rgvgdE5qJPNcnSdNnNg3TwoROcd1a8BAej1fk3muzp6yTuybPXOJbMd+wEREmuTHSTgiolzBACYi0oQBTESkCQOYiEgTBjARkSYMYCIiTRjARESaMICJiDRhABMRaZITV8KJyACALt3jyIB5AAZ1D8IBPE534XGmblAptSH6wZwIYLcSkQ6lVJvucWQaj9NdeJz24RIEEZEmDGAiIk0YwHrt1D0Ah/A43YXHaROuARMRacIZMBGRJgxgIiJNGMAOEZF/EpF+ETka9liNiDwnIieCf1brHGO6RORyEfmZiLwuIsdEZGvwcbcdp1dEXhaRw8Hj/Grw8StE5CUROSkiu0SkWPdY7SAiBSLyqog8E/zarcfZKSKvicghEekIPpbR310GsHN+CCC6EPtLAPYppVoB7At+ncumAPypUupaAKsBfFZEroX7jvMigHVKqesBrACwQURWA3gQwN8rpRYDOAfgLn1DtNVWAMfDvnbrcQLATUqpFWH1vxn93WUAO0Qp9TyAs1EPfxDAw8G/Pwxgk5NjsptSqkcp9Urw76MI/E+7EO47TqWUGgt+WRT8TwFYB+CJ4OM5f5wAICKLALwfwPeCXwtceJxxZPR3lwGsV71Sqif4914A9ToHYycRaQawEsBLcOFxBj+WHwLQD+A5AG8COK+UmgpuchqBN59c9w0AXwRgBL+uhTuPEwi8if5URA6KyJbgYxn93S2088Vo9pRSSkRcURMoIuUA9gD4nFJqJDBpCnDLcSqlpgGsEJG5AH4MYIneEdlPRDYC6FdKHRSR92oejhPWKKXOiMh8AM+JyBvh38zE7y5nwHr1iUgDAAT/7Nc8nrSJSBEC4fsvSqkngw+77jhNSqnzAH4G4AYAc0XEnNQsAnBG17hs8jsAfl9EOgE8jsDSw0Nw33ECAJRSZ4J/9iPwpvouZPh3lwGs178B+GTw758E8BONY0lbcH3w+wCOK6W2h33LbcdZF5z5QkRKANyMwHr3zwB8OLhZzh+nUurPlVKLlFLNAO4AsF8p9Qdw2XECgIiUiUiF+XcA7wNwFBn+3eWVcA4RkccAvBeBFnd9AO4H8BSA3QAaEWi3uVkpFX2iLmeIyBoABwC8hktrhl9GYB3YTce5HIETMgUITGJ2K6X+SkRaEJgp1gB4FcDHlVIX9Y3UPsEliC8opTa68TiDx/Tj4JeFAH6klPqaiNQig7+7DGAiIk24BEFEpAkDmIhIEwYwEZEmDGAiIk0YwEREmjCAiYg0YQBTThGRuSLyJwm2aRaRjyXxWs3h7UEtvv8pEflWjO/9V/RriMh7zZaNRMlgAFOumQsgbgADaAaQMIDToZR6TyZfn/IDA5hyzd8AuDLYNPv/BP87GmykfXvYNmuD23w+OEs9ICKvBP9LJTwvF5GfBxty328+KCJj8Z5ElAx2Q6Nc8yUAy5RSK0TkNgCfAXA9Apd4/0pEng9u8wWl1EYAEJFSADcrpfwi0grgMQBt1i8/w7sALAMwHnz9f1dKddh7SJSvGMCUy9YAeCzYGrJPRP4TwDsBjERtVwTgWyKyAsA0gKtS2MdzSqkhABCRJ4P7ZACTLRjAlA8+j0ADpOsRWHbzp/Dc6GYpbJ5CtuEaMOWaUQAVwb8fAHB78O4UdQBuBPBy1DYAUAWgRyllALgTgS5mybo5eGPGEgRuR/PLNMdPFMIZMOUUpdSQiPwyWPr1HwCOADiMwMz0i0qpXhEZAjAtIocRuBnq/wWwR0Q+AWAvAF8Ku3wZgQbziwD8M9d/yU5sR0lEpAmXIIiINOESBOU9Efk9AA9GPfyWUupDOsZD+YNLEEREmnAJgohIEwYwEZEmDGAiIk0YwEREmvx/HH+bLmpwjIwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x = 'total_bill' , y ='tip'  , data = df1 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243672308b0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 412x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x = 'total_bill' , y ='tip'  , data = df1 ,hue = 'smoker')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24367486170>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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84M59txSTzbsPsAp4UCn1B6BvZwUikHtGootzOF2UVjp4+PPtvLh0P5nFVYyKD8Hp7EIjenulydBQGwxr24HRnu6Z6H76tPH5tnK5/yjMFNzuJl/fqZRag8nu/bVS6jat9U/tdO7DkpGR6NJ6hwfw+MWjsSjILK5ifJ9Qrp7alyC/LrSAIHMzvHEuLPkbbHjLtLcuNMvMhWiblDY+f7S+Be50r7RDKTXe/fcAIElr/V/gc2BMO5/3kFoVjNy11u9SSt3pLvgkRKfILK7kiW924tIQ7OfNxpQivtic0XyazpMiBsPUX8P612Hx76DPiTDsXLMBV4i2eRBzj6ihCvfz7en/MAsXtiiltrsfA1wBbHNP340C3mzn8x7SEYORUuphYAEQgamp/rpS6qGO7pgQUD9Nd//sIXx15ylMGxhBSaW9a03T+fhDeP/6x2H9wdp02l+II3MvUrgFSAa0++9jXrxQS2v9qNb6X1rrSq31bVrr0VrrkVrr89xff8L9eJzW+iytdUF7nLc1jriaTim1Gxirta5yP/YDNmmth3ZC/wBZTXe8Sy+sINjXSpCf1bT9rAT5dqFpupTVJpFqn5PMkvLE1+DMv5n9SDI6Ot5JPaNWas0ChgzMSosq92MbkN5hPRKiiYQw/xbbXUbEYDj3KRg0E3yCIGYEDDpDApEQbdCakdFnwGTge8ywcRZmTXoagNb6ro7tooyMRDfgcoHF0rwtjncyMmql1oyMPnX/qbW0Y7oiRDfWMPhIIBKizY4YjLTWCzqjI0IIIY5fhwxGSqkPtdZXKKW2YqbnGtFad9r6cyGEED3b4eYT7nb/vRM4v8GfC4BdHdwvIYQQ7UQppZVS/27w+H6l1KMe7FIzhwxGWutMd3OQ1jq5wZ+DwLBO6Z0QQoj2UA1copSK9HRHDuVw03R3AL8CBrgrstYKAlZ0dMeEEE1U5JsUQ4HRjduiZ3k0pFkJCR4tPtZNrw7gZeAe4E8Nv6CU6gfMxyQ1yAVu0Fq3d/qhIzrcAoZ3gcXA34EHGjxf2pm7coU4FuXVDgJs3s3a3U5FPqx5BcL6gG+oqWRbmAyTroPAGE/3TrQXE4galpDoC7zCoyG0Q0B6HpP+559Nnn8WWKC1XqCUuhH4L3DRMZ6rzQ43TVestT6otZ7bZJruuA5EB/PKWZOUj9a6UVt0PRlFlTz+1Q52Z5WQ2aDdLpwOyNvbvN1RNBDWF766F96fC5/eCtXF4Kjp2POKztaRJSRKMLnmmu4NPREz+ABTXuLkYz3X0ZANEW1QXGnnsUXbuea1tXyzLYtfvbuBa+evZX9uuae7JlqQVVzFwvVp3PjGOu75cDPvrk1lfXIhTlc7fHjY9z28PB0OLDOVZl+eDsmrjv11D8VVAz8+ZspV1Fr1HJRmdNw5hSd0dAmJZ4CbMNVeuxQJRm0Q4mflD2cPIyzAyh3vbGBHRgn/vGwMfcL9PN010YJxvUN5bu4E0ouqWJ2Uzx2nDeDCsQl4WdphU3xwAlh94c0L4MOrTYVZv5Bjf91DKc2C0szmzxenddw5hSd0aAkJ98zWh5iAVGslcKW7fRWwrD3O1VYSjNrI19uLIFt9ks5wfx+sXvJj7IqySqr4MDG17vGizRmkFTXNzn+UAmNgym2gXaA1nPgbSFlj7uV0BL9wCB/Y/PngXh1zPuEpnVFC4t+YxQq17gRucC9Uu4b6bT2dSt5F26B2mm5/Xhl/Pm8EsSE2bn4zUabpWqOqtOV2W485AofTRVm1qXWUWVzFL3tzefDsYcy/bhLZpdWNp+kcNVBw0Iw62ip1DSz9uxkh+YfDtw+Abwg47W26npySKpLzy6l2HKEQX1hfuPB5U14dwOoH5/8H4sYd9c+q3ZTlQMEBqDlyher8smqS88spr+6kelSOGqipaN7uqswihWYlJI518YLWOrBBO1tr7a+1ftT9OFlrfbrWeozWeqYnVtJBKxKldgVdKVHqrswSDuSVM3N4NEl55RzINW0fb8nQfEjFafDT4zD1DvCPgJ/+atpxDZJ45O+HJY/D9D+CstS3Iwe3+jQOp4ufdueQlFPOVVP7sD6lAG9lYWhsEBEBNvZkl9IrzJ9AX28ThJb9Cza/a0YdZ/0dhp1n3uRbI3MLLP49DD3HZOfe/imc9wzEjjJfL0qFJX81Iya/MPjp/0w7djQANQ4nS3bl8PAX28ktrea8MfHcM2sw/SMDD31OgJJMyN9r+t97silz3uS1O43TAft/hK/ug5I0GHoezHwYooY0O1Rrzcr9+fzps60czKvglEGRPHTeCIbGBnVc/xw1sOMzM1odMwd2f23aY+eaGlSdQxKltlI3XefqOcPighkaG4RSimGxwQyNMW1xGGU5sP0Tc9M/fCCkroZeE03tHy/3lGfhQfOGnrnFPJe7E0Zd1qZgVFRh59MN6SzelsX65AJ+2p1L33B/5t8wmaggxbC4YHOgywlr/gcb3zKPy3Ph45vhhsXQ96TWnSwwBsbOgy/vBv9IGHUxHPjFjGBsQVCWba5n/xJTbC91tal3FDUcvLzZkVHC7e9soPaz4BebM/C2KP5+6Whsh/tgExwHJemw+H7wDYPQvpC2ptFrd5qc7WZlX2159V2LwOWAy+Y3e7Pfl1PGjW+so9rhAmDZvjz+8PFmFtx4AiEdVUK+Ig82vg0Hfob9P8HuryB2LAyeBT7ttR5AtBeZpjsKDYOPBKJWSJgAc942b/qpq82n+DFX1gcigP6nwgXPmU/9OTvg7CdNTaA2iAyy8egFIxkYFcD3O3PwtiheuXYS/SKaLBwqy4Et7zV/geztrT+Zsxp2fQEn3Q03/wgFSeZ1a6fpEibCFW+aoJS6Gk6+B0ZfWhcs9uWW0XRS4ovNGeSWVh/53AkT4fI3oSzLBKImr91p8vbWB6Jaexab0VsTB/LK6wJRrU2pxWQUHXlq76gFx9dPbe76EmwhcPnrECqBqCuSYCQ6XnEarHul/vGWD8ybd0NFKbDmpfrHa1+FouQ2ncbhdLE5rYiD+ea+QLXDxXc7simrsjc+0CcAwvo1f4GAqNafLLQPnPs0TLvbbEStbfuHm68Xp5lNqrU2vWfuq9R+u59Ps5dMCPPD36cV073FabD20K/dafzCmj8XGAO25quGWxr9BNm8CezITciOGkhZVb8KsarIjFS7+n2j45QEI9HxynLMFNas/4PrFpl5+7R1jW/2Fx400z6XvAKXL4CCvW3eSFo7Tdc33J9vf3sKs0bEsDAxlbzyJhtDfYNh1l8aj8zixpsRXFuE9gb/sOZtMCOi5GVw1hNwzWdQVQjpG8x9FmB0rxCmDgivO9zLonjsgpGEB9iOfN4jvHaniR0NQ86sf6wUnPMvCIptdujQ2CAuHp/Q6LmHzx9B7/AOvHdTO00XMwZ+tQb6nQob3jTPiy5HFjCIzpGzE0J6gy2wcbuW0w75+8w9JaXq297NRxCHk1lUSXmNk0HRgY3azbhcJvjl7DL9iB0DIQnNjztaWpvrDO1jRmK17QbXnF1cxfbMYkoqHQyKDmR4XHDr9kC14rU7TWk2ZG2FygKIGAQxow75b5ZfXs2O9BLyyqrpFxnA8LhgfK0dvPCnMNncx4oY2LjdeWQev5UkGAkhRMdpczBSSoUC87TWLyil4oH/aq0va/eedTEyTSeEEF1LKKZiAlrrjOMhEIEEI9HTaF2fBaFhWxyTLWlF7MspbdYWHeIJYKBSapNSaqFSahuAUup6pdRnSqnvlVIHlVK/UUrdq5TaqJRarZQKdx83UCn1jVJqvVJqmVKqW9Sfk2Akeg6tzX6Slc9DVXF9u6LQ0z3r1pLzy7n+9XXc8uZ6lu3N5ZrX1nL3+5vIKanydNd6qgeA/VrrccDvmnxtFHAJMBl4HKjQWo8HVgHXuo95GbhTaz0RuB94oTM6faxk06voOSoKzEbTjW9B5iaTHcA/EkZf0nilW0/icsGBpSaLROyY+nb8uHY7Ra8wf564dDS3v7Wea15bi7+PF49dMJLoYN92O4dotSVa61KgVClVDCxyP78VGKOUCgROAhY22APZiiWanifBSPQcAREmHU3OTrP5Uim4+mOIbJ6epscoPAgLbzApiWY+Al/fZzIxXP1xu1WB9bIoYoN8sXpZqHa4CPT1Jsy/bascRbtpuCva1eCxC/N+bgGK3KOqbkWm6UTPobVZZpy1pf7xtk969jRdxACY+66Zllx0l0kRdPH/2rUceXJ+Ode/sQ5vi+KBs4aSX1bDXe9vlGm6jlMKHFXSPncBvQNKqcsBlDG2PTvXUWRkJHqO2mm6gCiY9wGsfNYkQh17Rc+eprNXYRI8Ay47ONu3+muvMH/+eekYQv2tjOsdyqDoIEL9rTJN10G01vlKqRXuhQs7j+IlrgJeVEo9BFiB94HN7dnHjiD7jETPUpoFlUUQPczdLobooZ7uVcfJT4JXZpjNr2c9AZ/eZjaftuM0HYDLpbG4N+Q2bIsjkh9UK8nISPQsQbH16Wgatj2pJBMqCyFmRON2e4gYAPPeN0lAY0ZAYJRpt2MgAhoFHwlEoiNIMBKiI1UUwA+PmpV9Vy2E5f+B5OVw/dct1v05Kn1ObLktRDciCxiE6Ej+4TBuntl8+/J02PEpTLkVgmI83TMhuhQJRkJ0tKihEDOy/vHQs02JciFEHQlGQnSkigL4/hFIXw8jLwZvX3jrYsjd4+meCdGlyD0j0TNlboGgOHNDv2G7s/mHw7irzOho8s0wcROkr5NpOiGakJHRcU5rTWpBebN2pylMbrl9lCpqHJC5FebPpmLL55D0M8yfDWtfAnsHlrg+nAGnwpTbTFG/AafClNtlmk50KqVUWQe+9qNKqfuP9XUkGB3nVu3P5+IXVrIxpbBRu1Mk/QKvzoTUtY3bRym3tJqnv9/DdkcceWf/j6czRrA9qwz8I2D4RWD1a7++t1XDUtwtlOUW4ngn03THOT8fL6rtLq58eTUurQn198HXu5M+o/j4m2wBC84H7TKjhWMIGNklVby1OplPNqQzvlcMP+zOJ3haOINGz8MWHNeOHRei40yaNGke8DegD5ACPJiYmPhue59HKbUUuF9rnaiUigQStdb9lFLXAxcA/sBA4FOt9e/d33OWu29eQJ7Weqb75Ua4X68P8IzW+r9t7Y+MjI5z43qH8qdzh1PtcGF3av528SiGxx/7FFJ5tYPSSvvhD+o1CWY/Do4qE5TOexpiRx/1OUclhPDKtZPIL6/hh935XDIiiGvCd2Bb/k9Y82L7T9OVZELqOsjba9LyCHGM3IHoFaAvJntDX+AV9/OdaRwwBxgNzFFK9VZKRbn7dqnWeixweYPjhwFnAlOAR5RS1raeUILRcW7V/nwe+WI7IX5WAny8uPeDzcc0TVdld/LDzmzmvbKai19cyScb0iiuOERQOvALfH0/+IWBLQg+u+OYp+m+3JxZ9/jn5GrS+1wI0x9s/2m6tER49XR47Qx46WTY+LY7R5wQx+RvmBFJQ/7u5zvTj1rrYq11FbADExSnAr9orQ8AaK0LGhz/lda6WmudB+QAbV6hI8HoOOfn40WvMD/ev+UE3r75BKKDbcc0TbchuZCbFySyOa2YfTll3PvhZn7ek9PywVZ/COkF1y2Caz6DwJhjnqb7fHM6t506gHdumkx5jYOf9hRSPfVOiDv6EVcz5XkmcJZkmMeOKlh0J+QeTU5LIRrp08bnj4WD+hjQNOttw1IVTo58S6etxzcj94yOc+P7hPHuLVOJcWdgbtg+Gt9tz2723OsrD3LmyFhsVq/GX+g1Ca77Emrv5zRsH4VRCSF8csc04kJ8CQvwqWvbfNu59k5ZDuS1sE+oMAXix7fvucTxJgUzCmnp+fZ2EJgIrAUua8Xxq4EXlFL9tdYHlFLhTUZHx0RGRqJR8DlkIMreCVUlzdtNhAU0nyqOCPDBy6Igfz+uonTzZP5+s5S7YfBph0UGI+KDCQvwadZuV/7hEJzQ/PmukJRVdHcPAhVNnqtwP38s/JVSaQ3+3Av8C7hDKbURiDzSC2itc4FbgU+UUpuBD46xT41ICQlxZJmb4fWz4eT7oO+J8M5lMONPMOlmsDauaLwto5g5L62ivMYJmCqhz84dz8RoC64dX/CdnsxZwyKJ+fIac5/o4pcgON4TV3VskpbCe3PB7n7fOO2PcNKvzTUJUa/NKc47azVdV+OxYKSU8gISgXSt9XmHO7YnBKPKGid+Pl7N2h1zLge+Vi+UUo3aR1JWZaegvIaoIF/8fLzq+1mSAV//HnYtMvd0Rs+Biddjjx5Jbrk5pmEZ6h0ZxaxKyqfa7mJIbBD/WLyLKyb1ws9b8eaaVO47IYAzl18BZ/4dRlzULKA1uha7Ez/39F7DdqvYK8x9qabthq9fVYVfVR7YAqn0Cmr9v4vW7tHdQQiINKXNfZq/fpdVU25qIDVti/Ym9TZayZP3jO7GVDEM9mAfOkV+WTWvLjvAOaNjSQj14xV3e3Sv0HY/V1m1gw8TUxkSE8SE3qG8725PGxhx2IC0Ja2Iv365k81pRZw0MILfnD6Ib7ZlcfMpA4gJjocTboGc7TDpRlj/BskBo/jfCjufbM2nV5gfD583kmmDIvGyKEbEhzDCvTy8qLyGW04dwPNL9pFTUs1FY2MZRBJ4+ZhR1mECUWpBBS/9vJ+bT+mPt8VS1+4fGXjkH0RRKqx4Bk64Hbz9YMXTph05uO6QzMwM/rcyg3mxaQTb83ipaDLzpvZnSGwrfiWVgshB5k93U1UMifOh9xSIGQOJr5p232me7pk4jnkkGCmlegHnAo8D93qiD50pu6SKN1Ye5P11KUzpH86327Px8oJB0YH4+bTvP0FuaRUv/byf4go754yO5dONGZw5MobhsUFEBLb8xp9aUMH1r6+joNyUq16yO5cDeeWcOCCC7JIqYsp3mymp034P3z9MTdwkns0cxkfbcgHYl1PODW+s47NfTWN0r8Z7lHZll/KHj7dQOwB/LzEd3xP685AtBK/Pf3PYabqkvHLeXZvC+uRC/H282JBiAmXrglGyecNNWgqBsaaGUMIkUwVVKagpJysvn7fX5/BDUCD9Q4JYlpJG/8gABkQF4u3Vg2+nlmbByv+apehDz4FtH8HYeRA9wiyzF8IDPPU/7hng98BxsVNwRHwIr10/icIKO99uz+bc0bHcOK1/uwcigP6Rgbx5wxQcLs2nGzMYFhvEoxeMPGQgAkjOL68LRLUO5ldw+vAYRieEQEAUjLzEVBDVLrIHXMynO0obHe90afblNk9/tTOjhKYzwR9uzCZn9osw+nLqfgWzd5hVag2cOCCcv188ml1ZpWxIKeLBc4Yxc3grK5j2ngoX/w/y95lAdNofYMT5JhABFKcz9vu5PHdmMGnF1SxLqeKmCUFcEpPbswMRmKStV39mpi63fQS9psAZj0ogEh7V6f/rlFLnATla6/VHOO5WpVSiUioxNze3k3rXMfLLqvl6S/1mzJX780kv7JiknWXVDpbtzcPpMhHgQF45+3PLOdy9wUDf5kHRy6IoKK8mp7TajFzO/DsEmEDgW5FNZGDzVWpBtuavExXUPAjGhvjiGxIJG96En/9hshi8cY6pglpVH+SyS6r5ZENa3ePPNmWQWdzKjaWlmbD5w/rH2z81GRNqWf3IHn4dn++t35D77f4aMr2Og7RBVcWw55v6x9nboGCf5/ojBJ4ZGU0DLlBKHQTeB05XSr3d9CCt9cta60la60lRUR5I/d+Oskuq+HhDOtdP68d7t5xAld3FtzuyqKxxtPu5ckureGV5EjOGRvHFb6YR4m/lrVUHm418GhoUFcS8E3o3eu6mk/vzzupkskvcb/6+QRA/FuInELXjdR6d5kvDW1Dj+4QyMqH5vZZxfUIZ3uAejEXBQ+eNICwwwOwzWj/fZDFw2mHEBeY8bkl55axLLuTxi0bx9BVj2ZlZwo6MlpeUN1OUDEk/wpl/g8sXmBFSWiJ1w7TQ3mQNvJwfDlRy39RAXj07kKzSGlZlunA4e/iAvTTLZDEfeQnc/CNYfWHD21DZSQlyhWiBR5d2K6WmYxL19fjVdDsyi4kJ8iUi0Nao3RF2Z5UQ6OtNQqh/o/bhFJRXsym1iPTCSgZEBTIgMoDCCjvD44IaL3woSoXMTdQ4YZttLPuKIMTfh9EJIcSHtpw9Ia2wgq3pxZRVORgcE8jI+BCsXhZ3Sh13nsWBZ8Al/zMr09xqHE725ZQzIMofi1J1bV9rK6Y3nQ6TESGsvyloV9u21d9vclVVsCu7mF7l2wn0sbDLNpZekcEE+7U5rVb3k73dTMsFxzdui/bWJVbTKaWcwFbAism88CbwtNbapZSaBFyrtb7Lo32UYCQ8ImcHvH6OGRH1nw67v4Spv4HpDzQaHQnRzXWVYFSmtQ50t6OBd4EVWutHOun83lrrw04FeTQdkNZ6KbDUk30QbWCvpiprF+VBfYkI8Ktvh4a2/bUCYmDiDTDkLLPcetVQGHzmsQWi4gwIiW/eFqKbmDRpkg/wufvh5cBCd/vCxMTEQ8+1t4HWOkcpdSuwTin1KHAa7kGB+3EfYAANykEopfoBi4HlwElAOnCh1rpSKTUQeB6IwmSLuEVrvUsp9QZQBYwHVnCEldM9fNmQaJWaipbbTQ/bvxTf+aehN71H1eYP8Z1/GmrfD5RUHsX/kYAIOOU+6HOCSa9z8r2mfbTSEmHBuZCxEdLX17eF6F4+xwSH04C0Bu3PD/dNbaW1TsLUJGppeeqhykEMBp7XWo8EioBL3c+/DNyptZ4I3A+80OC1egEnaa2PuIVHEqUe7zI2wY4v4MRfQXGaaU+9AwJbWDQSORh7wlQilz4AQHX0WHT0SIL9jjL/W4P7N43aR8NpNzfmF1wAuKeeHe3yQbJLcDhdVNldBPp6N2qLHsvP/QegY5beHtpXWutqoFop1bAcxAGt9SZ3ez3QTykViBkpLWxwb7nhzfCFWmtna04qI6PjWU0F7PoSlv8bvrwH3r7YFKEry2rxcJ+QBPSoS+selw2+ENVVpsL6ngjnPQPVJVBdCuf/99hGWl2Iw+nip105LFh5gJJKe127tOoIxQtFd3Q50PRTVA2ty6rdakqpAZhSDy3VdzlUOYiWnrcARVrrcQ3+DG9wXHlr+yQfrY5nPv5mFJS3F3Z8Zp679otDVlut2b8Un2/upzpyFMrbRsSKv1AQ1oeSkRce/eioPbicZkpu8e/Nyjk0fH0fhPfvESUdiivsLNqSyaLNGaw7WMgve3PpHxHAuWPiCfI9Dlb+HV8WAk3/M/kAHwFnt8cJ3BVbXwKe01rr1uStPBStdYlS6oBS6nKt9UJlXmyM1npzW19LgtHxrigVDv5S/3jnIpMW5hDTdDUTbqJs3C0E+ftSs/JZdPSozg9E+UngrIbo4WbDrL0SvLzB22ayLvgGwcIbTCnzHiAiyMZD5w5nd1YJS/fk4uNl4eVrJ9EvUpKb9mCVmBFRe/3n8lNKbaJ+afdbwFPt9NpXAS8qpR5yv/77QJuDkZSQOJ7VVMDyp2DV8zDvA9j1lcmKcNN3hxwdVVeWYfMLbNbuNCWZsPA6c3/r8tfhy/ugsgAueM5sbF35LFz7uQlOoR1RHLPzOZwuftiZw6/eWY87sQb3zBrMjdP6y8io62vTsKMzVtN1VRKMjnfleSZ1Tuzoxu2uyuWC/T/B+1eaRQsAp/8Ztn8Cubvghm+h92TP9rGdZRdX8vAX29mTXcqLV03kqe/3sDenlFevm8zAqE7+MCDaqkvsM+oOZJquB3A4XdQ4XfgfTeLVgMj6rAcBkSZdTs4usyO/PAfK86E0A/wjSAmZjPa20TcigJT8cjTQN8I9VWSvhH0/QMxICIp3t0dA+IC6U+3LLiHIVUxMdJy7XUhMXF+TsLM4HWKGo4vSUK4aCB/QqF3HYjGZtwNjoTgVooaDf6QpAx7a19QXihsL3h68h9XOHBpGxAUzKiGEF37eR1SQjVMGR7attlM3tSe7lIhAHyICbI3aoueRYNTNbUwp5JVlSRzMq2DelD7MHhlD9KFKhx9JVTEsfxoqi0xg8rbBL/8EIGPqw9y/3xeXxZu/XzKGBz/dikvDs3PHmzRA+fvgw2sgbjyMvgy+fdBUgj3z/8DqT1JuGde/kciUWAu3nmbh5vd3cWKClT+eXE546new4hkcV3/G+/u8OdW2l6AB3ny1s4BTbXvpM8IKoe7ceSWZ8OmtJhDN+gs4qsFeDjd9D/uXmOXdRSnds87QISSE+nHR+AQufmElBeU1RAb6cNupAw6Zfqmn2JNVytxXVnP+uHgum9CL6+av5bJJvfjNjEEyPdkDSTDqxnZlljD3ldVU2U1iz4c+30ZBRQ13nj6oVZVdm7EFw5AzYdFdMOuv8OktdV8KT17MJYMn88BPRcx62ix4+PslowkPcL8pRAyBC1+Az+6AjA2QMBGm3VlXXTU8wIcLx8Tw/M8H+WTnJrwtirNPthH66VVQkgLDLyBHh/LQt7uZ0iuCYQf38+aWCv505khu9IugbgwQGAOn/h4q8iFqGLwy3YycKgvhlydhyq0QnHCUP9GuqdruZH1yYV2y2/zyGtanFBET7IutB4+OIgJ9OHtULG+sOMgbKw7ia7UwY0i0BKIeSvYZdVVVJS23G9iZVVIXiGq9/EsSWa0ts9BUcZqZbptym5npttfvtfPNXMe0wPrSEREBPpw8KLJB0lJX/T0cMIlKdX3fQv19uGh8byzuGDky1p/RAcVYSlLME1NuJTyuH385byhr0yp5c0sFlwzz56KRYXjZGiR5tVhg4Okw8mIzJXjpfDMq++VJk+Nu2t3g0/KIodruZE1SPtklVY3aXV1eeQ2vrzjI2N4hfHP3KYyMD2bBygPkHyYTe08QEWjjyin1i1Cm9o9gaKzkLeypJBh1RenrzTRXaVZ9uySj2WFWS/N/Pj+rF15eRzEqyt4Or82G9+ZAykqz5DtiYN2XM6Y+zH0bIsgrq2HmsGjyy2u454NNZBS5A1b+PvjyblPU7tynIGszrHze3A8CknLLuGFBIhalOHVgKJszynlyWyAFJ/0ZfEPh/bl4Z20iNat+D15qqYvKfctNXxqyWMw9IUelma6rVZLeKIA2tSurlDkvr+Yf3+zik41pzHl5NQsTU7t8yYiEUD/+O3c8/5kznmFxwTw7dwLPzBnf86fpsku5bv5abN4Wpg2MYOmeXF76Zb9s9u2hZJquq3FUwcGVsPEtKEgyQUI7YcotzVL8j0wIITrYRk5J/cbo3505lOigNt4zcjlh7atmoQJA+gbocyKc/jCseg7S1hFeuJVLJpzPxVN8OX9MHF9uzURrGk/Tzf3AVBENjIOQXqZt9YfiNMLzk7hkXAzjor2ZGFzKa736Mi7CTmi/C2HEdEicT44O5ZXE3Vw5PprhvSJ4ZNFOvh3VZJquoYID8MMjJtnqqEvh09tg3asw89EWR0d9I/z59YyBPL9kP59sSGdMQgjnjYnvFpVd+zfYU9T/ONlfFBHgw4XjEpg1IoahMUE8t2SfTNP1YLK0uyuqKoXvHjR7fgCu/wr6ndzioXuzS/llTy4phRVMHxrN5L5hBLb1P2t1Gbw2y5R1qBWcAFNuh3FXmv5Yfanyj0Wj8bN6U2V31rUPS2tIfA2+uo/S2U8RkJ2IZfO7lN64jICwOCxB7s21VSVUefmzMbmQQZG+BAX41bWjQt1TM9nbwScIwvrUt4tTIKyfWV2XugbC+ppA2NJl2p18timDP3y8BYBzR8fy8PkjiTnaBR+iw5VU2uvqSzVsdyOytLuVZGTUFeXvMQlLa619xdykb6H42eCYIAbHHOM8ui0QRlzUOBiVpJs3/cBosFeB1R9fqxcUpoBvML5+oa17baVg2PmQuo6g79yJe2c+QlBMf7A16LdvML7AiYPqMz80bJO/H9680CzlPuNheO9KiJ9gFk3UZovoN+2wXdmVVcofPt7CmF4hTOobxvwVBxkWF8wdpw3sFqOj41HD4NMNA5FoAwlGXU3tNJ12wo3fwYGfYeV/oTz36CpxVhZBbeBo2G6iavQ1ZASMwZa/k4Sd800J8L4nmX07n/3aTNtNvBb2/2j29NSUm0UEvU8wOe4Ox2U3WRJqVRQ0XuzQUp/TN0D8OFAW044ZAdP/CF/dC6+eAVY/OOmultMWHULfCH8ev3gU0wZGEupvZWB0INMGRkogEqILkGDU1Xj7wsTrYNAZEDPc5F8bdr5pt1VBEnzzIJz+kAkY3zwIMx+CmFGNDkvOL+fJb7P4aquLQJ+R/PHMz7lwXDwB/n4mI0NIAix70oygfvmnCUQAGxbAle/CsHNbPH1ZtYOMokqGpC+hrMZJxlVrGbJ3Pqx6FobMhv6nttzv5OXw/lVw4m/MXqdl/4bLXoc+J4HFG1wOCOljpufaINTfh7mT+2BxL+lr2BZCeJZ8JOyKfIPrg0/DdluVZkPST/D2JfDeXNizGHL3gNZ1K8icLs0bKw/y5RazIKG02sGDX+xic6Y74ATFwWkPmBVv5bn1gajWz/8wJRtquVyQuRV7RQmfrE/joudXsC54Fu/1/SsXvXWAraN+B1d9dPhs2gmTYdxVZvHEsn/DqMvMnqI3zwMvq9lMm7fbjJLKctv0I2kYfDozEO3LKSM53/zs9jdoCyEMGRn1ZH2mmhHF+/OgLNtkLBh2LhnFVXy0Po1LJiRQ7XDxxabmy8Z3ZJRw0sBIM033xZ3UFaxrylFlFinUylgPr5+N9fIFXBoXxYt+VpKS9jEu2MFpQyIJD/aH0FmH77e3zWxurRUQBX7hMOPPZrl5r4kmf17EwDZN09WqqHFQUF5DrzD/Ru2OklZYwR1vr8fPx4snLhnN3e9vIsDmzYtXTSCuhy/PFqK1JBj1ZIUH4Jd/1T9e9QIMms2OgnCe+n4Pa5LyGds7lL4RAc02UMaFuFeYedvMNN3oy8xS7TUvmWmyWiffa0ZvtYISYPbfYNXzBOTs4IvzXiNwxaP4Fe9j0NzFhIW24k0/ebnJJj7yUrOfaM2LJvnp2CvB6u5Xw3YbVNY4+CQxmYUb0vnvlRNYtiebhRvS+c+c8fSL6pgNlVGBNu6YPpB7P9zMOf9djkXBC1dNIDLIRnZxJU4N8aF+jdpCHG9kmq4nK802K+Qu/h9c8zlUFUHuTk4aEM4DZw9jxf58/vdLEjef0g9fa/2vwoQ+oYzrHWoyP9iCYdZf2dfrEipiJsHVn+IafiG6z4lw2Rtmj09DQbEQ2hfX6CvAWUPUx5fgl7WO9Ml/5DdfZbM1rejI/U6YbEpCnPm4Gc1d8Jy5X9Qw+BxFIAKwuBz4uyrYnFbKBc+v5KEvdhGgHHhVFRz5m1uwJ6uUNUn5zdoN2axejOsdSrCf+ewXGWhjRHwIBeU1/O3rXTy2aDspBRV17czizq4yLYTnyciop7BXwp5vIGa0GcnsXmymsm79xdzo9/apaxeVO0g8aN58nS7NV5sz+eDWE0kvKCPAXsAw/1JibFWw7g3wCWR7wuXMfXU198wawvg+Y/h3yW1cf2JfTh4a1zw3WsZ6+PAqLLP+Dx0Uj8rfCxYvwgZMJKHASnhgK7JpB8XAhGvqHzdsHyObry+zhkcxc3cxP+4tBuCxs/rQOzKkza+VX1bN7z/ews7MEp66Yix//3onRZUOFt05jf6R9aUd0goruO2t9ZRVObh8Yi8Wrk/jrvc28t8rxzE0Noh/frubpbtzqXa4uOv0Qfgfae+WED2Q/Nb3FPn7TdntuHHQ92RY/RyMvwZGzzGlIAKicWkXlWXFpBYq1h4o4B+XjmJYOHyzJZ2skirO6afgs4dM9u61wZC6iurT/48Qq5OJ/cJYtDmDxxbtINDmzW8D/bC5KsFhNVN5jmrwtlHg2w/LnEWErv8vKn8vrqm/wpK5Cf8PLuPxG75H+7kXDZTlUG3xw+Z/mKmxikKzxL22xEU7qKxx8Pnucn7cW0xMsI3skmru/zqd/1wZQz/37Fi1w4nN26tRu6XnIgJt/P3iUVz12lp+/e5GLApeu34yfcMbZ0ionabz9/HitKHRnDgwAn8fL+JC/bh4QgILVh0ku6SaUH8rc6b0IcS/4/fTNL0eoNn1HUqNw4mP++sN20IcCwlGPUXEYDj7X5C70+xNmv5HsFhNJoeRl+Jy1LDaNpWk8grC/K28deMk9mQUkFZi45y+ihHOX8DnLDjvaZP5ITiOPRMe4psMP652lXLHqQNYvD2b+FA/wn0tjK5aD7+shIEzIDAa17ZPSEs4h6s/K8LLS3HfjL8yY8QcAsLjTW2kab/FWVWGc+tzlPadQUXqFt4tGc1Vo4Po1bs/WBvUqKkuh33fw09/Nfnnpt0DIy9ql6BUO003rY8v/zw9mDWZLj7eWe6epgsit7Sat1cnc/7YOEL9fHhrdTIzh0Xz465srp7al5JKB59vSufqqX2JDvbFy2LB6s4FqJTC5mVptkrPZvXi3NFxWCwKq5elrl1QXsMTi3eRXVLNkJhA9mSX8ZdF23n0gpHEhXTcfaOUggreX5vCVSf0walhzYE8DuZVcOmEXgT6evP2qmQuGp/AgBYK961Oyiclv4ILxsWzKbXI3Y5rkDBXiKMjv0E9RUWuO4/cWhg3D755wKxAu+x1WPUcOZFTSQ/x4z8/7qWkys55Y+L4eEM6E/qEccnYKPpkvkeI1ResgbDuFap7T+Pr8Ck8syyVvfkxJKYkkVdWzdNXjOXuDzZz34hAfFb+B3Z8BtEjsOz+Cr9pfgT7TmBbZjm/WbiLL+f1ZtTmd0w6oPHX4LvnG6guJTtqGn/Y1od16TlMjNL0sm6G3lPqryVtrSktXuvr+0yOu/HzjvnHZPP15dxhwZwYVUVcnyGcG1nEifE5xLmn6dKLKnluyT4+35TOyIRgvtqShcUCP+zMYW92GbuzSjmQX870YdF4WRS//3gLBeU1/PPSMTz57W5ufWt9s2k6oNF0Zm3b3+rF0Jgg7jp9ENed1I8P1qVSZXd2+DTd1rQiXli6n00pRThcLq6Y3JsXl+7nm21ZDIkJYvG2LML8fegT7t9oQ3BeWTXPL9nHsr157Mgs4f11KQT4eDO5f1iz6xWirSQ3XU+Rtc2MJhLnm+Jy3r5w6atmxLT5XUj6meQxd7HOOoUHP91GjdNF73A/bj+lH6eXfUncij/D0HNMFdWYkfDpbeSPvpm/lF3I5zvNPqLn5oxiYulS/m9/f341NZpRRUvg2wcAKB55LY9XXcaH28vqujRvfCR/mx0LX98Pe78DoODi95i9yEpeWQ0PnRzEVRmP4zf8LDjlnvpr+ep3sO7lxtcXPx5u+MYsXHDaTW66/H3gH2E28bZ1ibfLZbJ/N2k7XZpvtmXx63c3ADB3Sm/unDGIF39O4q3VyYApKHj2qFi8vSzszCgmp6yGUwZFsjurpK7d2j1MpZV2nFoT6u/TqN2RyqsdvLHiAE9+tweAJy8djdXbwm8/2AzAtVP7cu/sIS32I62wguvmr2V/bjlWL8Vnv57GyPi23287jsiu6laS1XQ9RcRgiBxs9hOB2f9TUQDf/gmCE3A57KRb+5FVUkWNe8NrTkk1NU5FXuhY8A0xZbsn32KyYXtZyY+ZRmJGfUbwdXtS8clK5G8hnzOq6EdIW1P3tcDMlczsrWj4HpwQoM2KvoyNdc+p5JWc2tvcE1ma4iC/7zngH05uaTUV1WbJeG6vWVT0apKdIbi3yb4AZqHGKzPg45vgrYtMsCvPa9vPq2H5jQbtgvIaftlTv5F2dVIBuWU1rN5fv0ru5z25dYXuhseHcNqQKCwW1ajdWkF+1ro3/YbtjpRfXsPSBteYU1bd6PGK/Xl119dUWmEl6e6yIXanZktaMVV2R4vHCtEWEox6iqoiWPkc+IbBzT+YJKJL/w6n/g5S15Iz4lrSiWLBymRGxgfz3NzxBPl6s2hLJptr4ikeegWMuQJqymDVs1RPvYevy4eSU2bn1Ut6c+3kWN7dUkLGuN8SanWZHHc7PoeJ18OFz+NVdICJ9kRGxJqb98F+3pzfqwy2vG8yNFz9CTWj5hC25RX+NNXGI6cEsjylkl3BJ5MdfwZ/+3onHySmkl1cxeM7Ivgg/g+U9zrFXJuXD5z0a/DyNmXHv7q3UeE+dnxmRobtIL2oko82pHHrqf154aoJpBRUsHRPDj5WC8/PG88dpw3kkw1ppBV13+XXW9OKWHewkMcvGsXD5w0nOsiXLzZl8KvpA3l27ngO5JXz8+7cZnWeaqfpAny8+fiOk5jcL4wnv91N5tEWcxSiAZmm60kKkswS75iR9e3wgVCRBxX5HLD0o7DSgZfS2KxWHNXlOFFE1qSTEOILse6cdRmbITCKPEsEmXmFjAyHAqeNzOJqRvoWYXFVAcqMvrx8ILQPujiFdB3N0oPlWK0+jO8TzhB9wKzMqymH8nwcceOw11SDTwCunN0kBU5gULCLfK8oHvx0K7/szSMh1I/0okrunN6Pm/pkEVp+0JQwjxtrMoDn7YXnJjW/9steh1GXHPOP0OnS7MgopleYP8F+VnZkFBMe4ENBeQ3D44Ipq3aQWlDB8LjgbptgtbzaQVJuOYNjAnC6TG5Cu0vTN9yfQJs3OzNL6B3u3+IoLaWggvJqB8Pjghu1xSHJNF0rSTASHWfda2YUUyu0L1z3RYsJTpPzyznjqZ+xOzUj4oN5+6YphAfYmh1HdSl8cA0kLal/zuIFtyyFuDHtfglCHCMJRq3UPT/aCaM8H9I3mtGCy9m+r+1ytdxureJ0+PEvjZ8rSoasrc0OzS6p5Okf9mB3aoJs3uzIKOHzTRmUV7dwL8IWBGc9AQNnmsfB8TDnHYge0fY+CiG6DFna3V1lb4eN70LeTji4HC56CfpOM9kLjpXDDru/MhVTQ3pD8gpTQTVhYutfQzvBXtH8+eqyZk/ZHZqCshruPH0QV0zqzZ8+3Up+eQ125yGCYPQwmPMWlGSBLcCkIBJCdGsyTdcd1ZSbpKcZG0wl1sjBJiBFDYdpdx+ygF6r5e+Dl2eYwnbjroI1L5jccFcsMBm0W8NeDT88bBKr1vIJgKs/hT4nNDs8vbCCAJs3of4+jdpCdHMyTddKMjLqjsrzoOggOGtg/Rum3EJZtrkXo49iSq0p33CTpPTL38Lq5829nmHnmpQ/rWW1wYm/NkvGd35hRlgn/rrFQASQ0KCEQ0IHlnMQQnRNcs+oO/INgcwtMPwCM9ooy4bwATD2KvAPP/bXL06B0qz6+1BVxe7y3xvNqKm1Cg/CxnfMiK2yAL572OTQE0KIJiQYeUrWVrMptWm7NfxC4dx/w74fzZSdf7hZyr31w/Z5s1cKVj5rqque8y9z/2f7p+bvJX9v8b5PM047lOWAqwZOuRem3AZlmWa5uRBCNCHTdJ6QuRnmn2myHQw6A96bY4rUnXRX6+v0hPQys9HjrjKvsXWh2U+Uvc2MktQxTFVHDYULn4fcXbDkcZj5CHjZYP8SmPFHsLUiD5mX1YzcEiZCeH+IHAq9Jpv2sbJX1f+cGrbbWVZxJQfzK/Dz8WJgVCCBNvnvIkRHkZGRJwTGwqjLYOV/4c0LTBLQIWce+U3VYYfCZDOFFhxvCs/1Oxk+usGMlqJHmhV1xxKIwOS16zsNoofDCbebabrk5ZCy6pDVx1t+HZ/64NOwfSzy95sl40VpjdvtbEdGCZe+uJIrX17Nhc+t4PEvd5BX1oZ7ZkKINpFg5AlBMSYY1Rp0BoT0ASApt4xCd16whm0Kk2HZv8xmz9fPgu2fc6DUm1xHACjFgeDJ5Np9oDQTijMgaSmkrDH3bQ7D4XSxJa2Ij9an8vXWTLalFVNtd5rsCi4HrHoetn1qAkn+HjNSynPfNyrLNXucOovWkLrOLKr4/NfwwdVmpV9hUrueptru5D8/7CG9qD7NzXvrUtmcWtSu5xH19ueUUVppb9YWxw8JRp6QuQXev9JknB5yFmz5ANa9wr6sYq6bv5YXf97HnuxSrpu/lpd/2U9ZZTVsWWim5b57CE78DQdd0dyxcBf/3h/P/nmruGNzf55OHUJBVrIJRJmbzahrz3dmT9Ih/LQrh4tfWMn9C7fwq3c28OySfSzbnYkOjofAODj9TzDqIti5yKTcGXkxvDcXcvfAz/8w7dYEpGPdRAtmxDf8PDjtj3BgqSmpfsFz0Hvq0b3eIRRV2ll9oPk9vIP55e16HmHsyirhiv+t4q3VyezIMO331qVQWSMJWI8nEow8ITAGJt1k9txc8Cyc+BsYciYhAb6cNDCSl385wJnP/EJmcRWT+4Xjby+CTW+bVXTKAl/fT8j2BZzS14/3N+ZwxvwkdudUMG14LwILtsHnd8D3D5vNoPYKWPNyixkaskoq+dOn23C66ufevt2exa6cSlLSM8AvxHzvksfNyCxyiEm9U7APXpgC616BAdPBN/Tw11tRYGoaFSSZ6q3rXjXto1GWDbsW1T/e8Xl9pvJ2Eupv5eRBzQv5DZCaPR0ixNfKpH5h/PPb3Zz77DLKaxyMSQjFz0fu0R1PJBh5QlAMzHgQ4seaTaszHoS4sUQF2bjxZHNfRWs4YUA4E/qGYbEFmON2L4YRF4HWhO1+n7lT+uBtUWgNw+OCOWFwL3x8G5S8nnAtrH8d0hNbXMVWWukgt4X7IFUOF0U1mBxwxSlwxmNmyu6dy0xASphkOqgUTLn1yLWECpJMmYePbjKBbfHvzOo8Zxs/+dZO0+Vsh0tehdl/NTWcCg+07XWOwObtxZ0zBzEg0ux3UgpunNaPMb2lbk9HiAv141fTBwHmn/jsUbGMSpCf9fFGPnp4ik9As/a+nDJuXrAOb4tidEIIK/bl87+f93PH9IEEn/4QJK+CpX+DyMEcHH0Xv1q4G6fWTOobRmJyIU99t537XbsJD04wm1+X/M28YaNaXAEXE+zLhD6hbEgpqnvOoiDUz0p8VIQpQe6ohoGnm5IU9grY/KGpxNprigly78+Due+ZLBCHEjPaTKd98RuTNWL05TD+GlMSoi2UguHnQszPZu+Ssxr6n2ra7WxYbDAf3nYSyQXl+Fm9GRDlL6W1O8iurBJufGMdvlYLQ6KD+HRjBsPjgrlmal8ZHR1H5F+6Cwnxs3LqkChmDotmTO9QnvpuD5P7hRNos0LoQKipgEGzYNrdhLj8OS3fzp0zh3DS4Fhe+nk/Y+L8CDyo4OwnzU393YtN+p6GJb0bCPaz8viFw/nDp9vZklZCRIAPd0wfwImBWURV2qH/KeajanEqhPaGoAQTkCbfAtMfMKvrDiw/8jSdvRzy9tQ/zttn6iYR3fYfki3IlJMAs0Kvtt0BIoNsRAa1kDlctKsQXysnD45k7uQ+9I8K4PGvdsg03XFIctN1MYXlNYT4WbGUZuBI34hXdTEqaijEjnG/gWM2uVYUUFQD/oGh+HhbKKqowd/HG5+aInNvqTDZ3CcK6wPeh39DLU7fTUqlLxarjQTvUkKTvoIJ10BAhClmt+guc9/n4pdg+dMmIEy83gSqoDgTbKpLzVLwlqQlwqszzWio12Tzeqc/bPLotXV0JHqkwvIawgJ8mrV7AMlN10oSjLqikgxYeAOkrjaPlYIr3jYryTrCwRWw8DoozzVThuc9Y1bNeVnNptLtn8Bnd9Qff8VbZgVg5ma48h346a+QsxOu/RwiBjZ/fXs1ZKw3hf58Q+vb7ZFhXIiuTYJRK8kChq4oc3N9IAIzAln8eyjLoaLGUVdaoWG7zapKzR6kggPw8Y0mEIFJL/TZ7fXTalZfc18mpJd5bAs2Rewm3QhlWfC/U2Hvd3DCbWaRRUusNhN8nDWN20II4SbBqCuqKmn00B47nqSx97C3CL7dlsX3O7Ipr3awMDGN73dkHz4gNcx5V9tOS4RdX8HC6yFltcno0JDLCUWppl2SCV/eA8VpMGAGVJeYVXEhvSHMPQryspqNu7aglvtQlmNGT1//zgTA2nZx+2dOEEJ0TzJh3xVFuffzuJxkjb2Tl+1n8eaPJaifErl8Yi/Kq50s2pzB4m1ZnDY4kol9w4gJbiGVUPIKWPuqKQdReMC0Zz5icswVp5h9SNlbwS8MKgvrv0+p+oJ1fmFmym7AdBh/tQliPoHw42OQt8tkktj5Obxz+aGn6ax+EDkINr5pNqvaK915+A5TKqKiwCSQLc0yhf1iRzdegSiE6FEkGHVFMaNh7gfw41/4yW8289cU133p3bWp3D1zEC/9nESvMD/+fsmYlgORvRIyNpv7PYUHIHe3mXKruR+m3GL2/Yy8BL59EE6+x+z/cVSbTbWzHzfJUsF8z8hLzD4jW6BpO+0mMPQ9CSZcB+PmQc6uQ0/T2YJg9Byz2bUoxUz1Tbnl0OUuqkrMsvR1r9Q/d/aTMPlmsMhgXoieSIJRV+TlDYNn4UqYzGdv7Wz25c2pxQyOCWRHRgmb0oqICrZh9WryJm31M5tes7eb7A0A134BsSPNNF34QFjxjLlXtHuxWdkWFG+WSkePNPd26l7Lt3Hb6mum7PpMNUGpYbslZTkm2BWlQMQgUxPp69/Duf+qvxfVUN7uxoEI4Ps/w8AZh9/PJITotuRjZhdm8Q9lfO/QZs8PjA7kmTnjGBQdyAdrUygoP8RigCz3yKjWsn+TnbKPvSXepthd5FA46wkYPNvs/bH6NQ9Eh+ycpT74NGy3pHaa7qS74IbFJtt45OBDT9NVFjV/zlFllo8LIXokGRl1cZdMSODTTenklJi0Pb3C/LhwXDyDooN48aqJ+HhbDj9NZ/Vlx9kfEpGzipgtL5Kamclf1sJrV/yWKH9vMy1XVWzqIvmGti4QtZUtyKy+c9aY5LB17UNM04X3N/elavdVgUlDFNqn0WFaa5S7XEbDdrvJTzKLM0J7N24LIdqd7DM6FjUV5k3VL7Tx8y6nWYDQtN1AebUDu92O015DSKA/3lYrDqcLby+LuSdTXQK2EPDyJrWggt1ZJSjtYkhMIDUuCxU1DgJtinCbhZDgIApLK/D19sLPz4arpgqnvQKrlze6JIPNFRG8unQnVw6zsr4sgt7h/ig0w4Lt9LPvx15VRnBEAsSOAC93YGuyGbWub03aLXI6zPfXrt5zb9IFBf5hrfrROlPW4bXoTijPwdn3NLxOu9csYnCfP7Wggk2pxcwaFkFuuYNNqcWcOTwSf7+2BVOnS+NlUc3aFCabvV6B0TD7/+AT99L1856G4LhmPxenS6O1rmvXvY443skvQit1+shIKdUbeBOIwZRqe1lr/Z/O7scxcTrMSrWf/2n22ky5DUZeaLJxOx2w5xsToHpPrW/3OxmAyhoHy/bl8d8f9mJ3ai4YF48XLk4eEMrq5DJOH+BHv/VPYDmwBAbPgkk30dvLSu/kV6kqSOejuHvZmGchItDG9zuyiQq0cc2JfXh7dTI2L8VvTuvDaMd2vinqTf9AO8P1PpJKBjJnSl82ZtXwwboUMopNnR6bt4UFVw5ksG8WNbl78c7ZjiW0r0lEOvryuhV1GUWVfLE5gwvGxgPUteND/Zr/bPL2mWsecSFkbDQLJ8ZcDolvgMUbTvz1EQPS6v35lFT15vTrvyExvZJSu2ZGVCzemCD++aZ0QvysfLIxjbyyKgJt3jz65Q6Gho1mhHc69D6hVf+Mq/bnUVrt4PSh0aw7WEBZtZMZQ6NMoPUPh5EXmXtVexabb7joJbO60K2gvJpPNqQzY1g02cVVbE4rYvaIWJLyygmweXHSwOaZv4UQLfPENJ0DuE9rvUEpFQSsV0p9r7Xe4YG+HJ3MTfD2xfVlGRb/Dlx280ZbnAZf3WPub0z7ran5EzMK5n0IwXGsTy7k1jfX173Uk9/u5v7ZQ/nDZ7sYER9CZWkBt2dvx1KUbFafedkgdS2kr2PXjAX8d3kB54+N5+VfTAmGA3nlrE8p5P7ZQ/jHN7tZfaCId64azJ+/2Y/FAtePT+C/K9M4c1g5JwyMqQtEANUOF6+uzuZ5v5fwCY6C9W/A4DNNsIgdXReMtqYX88TiXaxOykehWLI7h74R/s2DkcNu7lEtedxsmk1ZZRYrRAyElc/AmHlH3OyaXVzFX77cwe7sUu6eOYgXlu4nyNfKJ3eE0jvcn7TCSh5btINgXyuzRsTw+Ne7OHtULK/OGcbgry4zfb/izSNmEq89z57sMu6eOYjnl+wnxM/Kx3ecRO9wfzO1OPx8+OWf5t8ytI/Z/NtgMUdqQSWPf72ThYmpDIgKZPG2LCpqnCzbm0ul3cWCGyYTG9JCwBZCNNPpCxi01pla6w3udimwE0jo7H4ck/T1zesDrXoeynIp9ktgzfk/sviEt9hJPxzxk+Cy+XVTO4s2ZzR7uV/25hLs58OYXsFcWb0Qa8a6+i/aAiDdPE6tCWTGsGi+3NL4NZwuTVGFHZu3hRqni9SsHBbM6U9plYP/rsxjcJQfjwxOJre4jKYOFDup9g42gShqmMmuEDeu0ehi2sBI7ps9hKW7c1myO4d7zhjMKS3U+8HbanLWjboMNiwwAWn6H01wCoiCmQ8dMQVQTIgvz84bT3iAD099vxeF4o0bJpsAAQyJCWT+9ZPILavm3bUpjIwPpk+4P3uTU7BHjoKLnj9ySQv3eZ6bN4Fwf3Mei1K8ccOUuvNQmGw291aXmj1WRSnw1X1mE7Db8LhgnrpiLLuzy1i8LYvTh0aTVlhJakElL1w1QQKREG3g0dV0Sql+wHhgTQtfu1UplaiUSszNze30vh1WSyvHfEMpdvrw5De7mPP6Vu74oYbzvgtmybBHoTy/7rCIwOb3NIJ8vSmvcVDlcFEaMcYsKqijzCZUIMZaQXm1w2Txbtolb0tdkTwfLwtJBXZqbwdml9nJUeFMS2h+7+qKMeEEp3xvHpRlm+mprG1mUYNbSZWdLan1jzenFVNSdYhaRFUljSvL5u81wa0sB9bNN8X1jiC3pJoSd9npaoeTtMJKHHUpkJzszKxfVZdTUs2QaH/+sbqCgyNuM+dppZySKkqqGp6nou48ddN0F70El78Js/7PTD02mKYrq7azLb0+W0ZyQTkDowIpr3GQ3WAEKoQ4Mo8FI6VUIPAx8FutdUnTr2utX9ZaT9JaT4qKOvIn3U7Va4r5pN/QzD+zM9/B22tS6p5yujR//LmCzAPb6j5RnzUqFj9rfVDwtihOGhjBwEh/luzKZVH5COxxE+tf1+WAsXMBGH7wHQb6V3H5pMZ7c6LcAc7h0vQK86VvbDiPfZ/GhF5BvD2nHy4XPL09gMEqk3/PCiUq0Iaf1YvbT+3LhZWf4QofBOc8aTa9Jv0M2gG5u+pef2t6Md/vzOb3Zw7lD2cN46ddOWxOK2r+c6mdpsvbDRe9CKMuha0fwQm3wpgrTQLYVk7TBdq8ef/WqfSPCOChz7aR6X5zTyus5Mlvd3PakChemDeekio7K/bm8v6NExi86gH44TEoO/KHl9rzBPl688GtU+nX5DxmBeANJvuEX0h9u8k03fwVB7hycm/unTWYpLxyHC4XU/qG89iXO8gqbl7QUAjRMo+splNKWYEvgW+11k8d6fguuZoud5ep5VORbxYnJEzk612F/OqdDc0O/e5X4xnSx9z8x+Vi+8F0lieXU+GAgVFB+Foc+Fg0Lm8/BodovA8sIbh4F/4JI1H7fzJlF6z+kLKSiv6z2R98AuklDrakFxPmb2VEXDDrD+QREWDlxH5B9K3eyzZnb8Ioo0/5VjbbxhNWnUmf0o2wfj45w6/DMfZaquwOgssOUGXxJ9LmwGbRKIuXCYBxY83+IKCsysHu7BKGxgQBqq4d6Nt8hEZpNhQlQ/x4M9VVngu9JkF5nhnxtSJT976cMmocLkbEBzdqg1nCvTm1iKggX+JDfdl8IJMoP0VCXBxkbDJBpKWURC2ep5Qah3afp77dWjUOF9vSi+kT7kd+WTWFlQ4GRQWQW1aD1UsxKPoQufrE8URW07VSpwcjZTaDLAAKtNa/bc33dMlg1ILtGcWc/+xyXA1+pGN7hfDmTVMI8XPXZ0leCQvON8HFJwBC+8I5T5IdMBg/qzfBflaySyrxt3oTZPMyueOCe5lNn8krTLXXXpNM4bsm+24OKWWNCQpDzjLVWcvzTFtqCQnR0SQYtZIngtHJwDJgK1CbbvpBrfXXh/qe7hKM7E4XP+zM5k+fbqOgvIbRCcH847KxjIhzf9p2OkzdoF1fNv7G6Q/C9D+QV1ZNcYWdgdGBjdrUlMGX95oaQrUGzYZLXm71vp3W7H069IVVmQqv/uGN20KII5Fg1Eqd/tFYa72cHvoPZPWycPaoOMb2CqWkyk5csC8h/g0qVpakQ58TTEVUqz9sescsfS7PpaSyhueX7OP7HdnMv34yb69K5qfdOSy4cQoDHfsbByKAfd+Z1Wp9WrenplHwaWsg2v6JKZ437bemdlHOdph2j6kEK4QQ7UDmaTpAfKgf8TRZ1lucDp/c2qB6qwXOeMzsQ+o9hcDqbE4ZHMVbq5KZ/fQvAFx7Yl9C/KxQdIiVay7385XF4KiEgOj2z2pdU2pqHm1YAAeXQ8YGiJ8Ik26SYCSEaDeSKLWzZDWt3uoymakvfRVcTiw5OxnfO4Txfeqn3a6Z2pfIQBuED4A+JzZ+vajhED7I1CZ683x48UT46S9mP0x7CoiC0x8y58vYAF4+ps/h/dv3PEKI45oEo87SYN9OnZJ0sAbCt3+kaM9yXl+exLqDBUzpH463RfHBsi1U7v0FkpebTNczH4OYkXDib+CKBVCWAe9casqUVxTA8qdh9UvNN+S6rU8uYHdWSYN2K7Jg26tg34+Qu9NM7zlrYP38RnunhBDiWMk0XWeJHGqm5nR9ifCsWc+TmB3Cyf3OoXLkXPrkB/LYBSM4f2wC2Vnp9Fv/BH7vvG8O9rLCle/BlO/M/SaLBTa9Cy4n9oSp1ATEEZC61ASKE3/VrE5Qcn45Ny1IxM/qxWMXjOSeDzbRN8KfBTdOISqohazftWpKzYgufiJc+oqpgXRwpUzTCSHalWTt7ixOO+z/CRb/HorT0CfczvtB1/PHL/Zw8/hAMmt8+Wp7Hm/eOIVTh0Sh9y9FvXVh49cI6QU3L4Egd0XV3d+wMd/CK7v9OFCimTsEztQriDntFghonK7H5dIs25PFTW9uxOHSBPt68/a1oxkzIP7IfS/NBnu5mS5s2BZCHEmPXKzVEWRk1Fm8rKbK6ahLYcAMVGk2M7MWcdHoaby6MQ8o467p/RnXOwQAVdFCFoHiNFNawh2MdvqNZ+7iDVTZzdTbw5lQNOM87vSPaPY/wOKoJKAmH4tSgMbHS2HLSgT/ARA76vB9b7hRtRWbVoUQoq3knlF7Ksk0o599P5rVc0257CY9zlsXwXd/xFVdRrWzfmRa7XDiyttPSdJaDgZPAmWhZOAFHDztGVAWdJ9pVPlGmfxv+UnsyrdTZXc1OsXLKzPIaiEvWnKp5qZPM/D38eL1q0Yytnco964NYbcrgeIK+7Fdd+FBs+T7wC9mc21Xlb8fHDXN20IIj5Ng1F7y9pog89bF8PYl8Ma5cHCFmZ6rFTXMZPB2OdDWQH4Kn8O+nHJW3hDDTZMj+WlXDt6uGj7a4+KWhUkkXbuB+YG3csv63uw/cwF69CWU5KbiWvM/ePcKrLr5km8/qxfeXs1nBnqH+fPsnDHMnzuUf3y3n0GRvvzj0lHc/cFWXluRVJeYtM0yt8Arp8M7l5vMEh/dBEWpR/daHSl9A7w6E3Z/BWmJpr1n8SEXewghOpdM0x2tikIOZheAvYJ+1mIO2kNg2M30y73ffL3wAGxdaJZCB8dD0lKIHwef/xqUQlXkMTs0kwvPKCVg4VweuPAl7u1nJ+CtuVx+0Zv8Z7XirFd3UeN0cfbIKAiPw/L+jUQrZVa0jbiQkbH+xATbyHaXJAf43VlDW1yQYHFUcmrWm2SXVjI0aib/W57K66vSsbtc3BkzGF9rGzbC1nJUw/KnTH6+Wgd+htQ1Xa88ty0YguLgoxtMkT9vPwiKb9sGYCFEh5GR0dGoLidj30bu+uIgd32dw+4SL+76Jp+7tg0kY9pf64/L223enNPXw+e/MlVP7ZUw4yGY9yGReWsJqMqEgCisH99AwKJbIaQ3Nl3F2Hg/atzlDGaPSuCDraXY+55Wn/V6+h/pHx/N2zedwJ/PG8ENJ/XjjRsmc86ouBY6DPj4w5BZxAR4cddsc4+oxunihH7hTBsUgY/3UfwqVJeZa2sqd3fbX6ujRQ6Cs/4OWpvR6rS7TWkLIUSXIMHoaOTtJmL5o1w/yoctWVWc+V4BWzLKuX5SFBF7F9YflzDJbELtdzKMvwY+ucUUn7MFmf1CvU4wmQ3GXln3La6JN/FORiy/JJUyOMofi4Jnf9zLRYO9sB74AVfkMLNE/INrIG8Pg2OCuOnk/jxywUimD40m0Pcwg9348SSN/A2/fm8LSsHg6EBWHyhg/ooDRzlNp2HmI8035PaadBSv1cHSN8CH15qffUgfWPJX2PO1TNMJ0UVIMDoa1aXYcjYz0T+HiACTey4iwIeJsVZsuVtMMbxh50FNOYy+3IyGKgvBNwR+fMzc8Hfaofdkk+Nt2VMQ2g+C4rH8+DCXJRQxZ0wYC+YN5c/njWB4XBCh/j5UDLmQrAvfR1/xpikLbg1sc9cD/HwZHh/Mc3Mn8M7NJ3DRuASGxgS3bZrO5TKZH+afZQKsbwic/mczJXnq703Ji67GFmyySFz9KVz7mfkgECzTdEJ0FbLP6GgUJpOx6Vtu3zKQLZlVnD88hEU7ixnTK5iXLognPmcZFKdC/9NM+e4tH0BVockdV5AEtkBT/mHYeWbhw/d/NuW5vXzgx8dwTf8TBf4DiAwPJbe0CoUi0t+LsuIcAsLiUC4nVBZAYPRRdT+/rJogXys+3pZG7VbL2g6vnNZ4ccbAM+CsJyC8n1nG3hWV5daXJG/YFqLjyD6jVpJgdJSq07fx1d4KcFZzlmUd3wReBF4+nDs6DlvTUUZxGnx5D+z7Ac79N6x4FkrS4PblEDUUKovAL9Qc27DdVW3/zJTCaOo36yBySKd3R4guTIJRK8lquqNkSxjFuaHFZsouYBznWvxBu7DlbDZZrr1tZlQUO8pkTjjzcbO3ZdeXMOOPJgGpy2GOjRtnSjRYvLrHm7lvSPPn/MNNmiIhhDgKEoyOgS0gBALMG7MNIGUdLDivfvrKFgTXf2VKeGsNATHmZv8nt8DZ/4QdX5hccvM+gm8fBG8rzFsIIQkeu6ZWiRkFQ86EPd/WP3fWP5rlwxNCiNaSYNRenA5Y9ULj+yjVpbBrMYT2h+8fhvQ1cNrvIHasyVEHMMi9EbPoAMz9wOyF6eoCo+D8Z93ZwvNMmqPYMZ7uVbdUUF5DuHsRTMO2EMcbWU3XXrQLyrKaP1+WDX7BMPuvZgQUPx76n1L/9dgxkJ4IvqFmUUN7F8frKEExMGQ2jJsHvaeA9TCZv0WLDuaVc9d7G9mcWkRyfn1biONRN3nn6wa8fWDyLc2fH3G++TtyMAycYe4ZrXoOhp4DMaNNDaJT7jd1gz68ruWcdk1UO5wttkX3UlxpZ2NKIdfMX8ONr69j+b48DuaX43R1/UVFQrQ3WU3XnioKTbBZ/hR42WDGg2Yazieg/piCJNjyodkEm7/fZGiYdANkbDQpagaeftjRUVFFDe+uSWH60CgSwvx4Z7Vpj4hvYVGB6PKW7c3lmtfWAnDPrCHcftoAbN6y96kHkdV0rSTBqCNUFJosCX6HCBAOu1ms4HSAdpqVd06H+Z4jTNPtzCzh4hdWEODjzenDo1mYmMaN0/px35lDCfCRW4DdSXJ+OXe+u5Et6cVYFAT6evPWjScwtneop7sm2o8Eo1bqkdN0DQNsW4Ntq7634fMtHeMfduhABCYQAXh5m0BU227F/aJhsUHMv24yDpfmhx3ZzBgaxR3TB7ZvICrLbbkt2lVRhZ2kvHKeumIsC28/EZcLmaYTx60eNzLamFJIYUUNpw2JZktaEUUVdk4dEoWX5cgfUHJKqvh+RzanD4vGy6Lq2nGhfvUHZW0zWROGnWP+zt8LQ84Bq+1oL6/VViflU+N0sS+7FFBoNB+sTeGZK8e33zTdgWWw7N9wwX+hMNm0z38Gwvq1z+uLRvbnltEr1A+b1atRW/QYMjJqpR41r5NbWs2fP9/GrsxSHjxnOM/8sAeLRfH5r6fRNyLgiN+/Nb2YP322jdkjYgiwefHpxgyemTOOi8a79/1UFsFP/wd7voFZfzFLuauK4LZfTCaFDpRZVMnvP9pMdkk1N5/cn9dWHCDM34cbp/Xjo/Vp3BcZcOyjI0eNCUBJS+DNi6E03dzvqi5rn4sQzQyMCmyxLcTxpseNjPbllDLv1TXklFTj42Xhg1unMr5vWKu+t7TSzmvLD/DMj3sBuOnkftx5+mBC/Rvs/ShIgvfmQu4u8/jaz00OOtXxH4B2ZpYw5+VVlFQ6CLR58/6tU1EKooJsRLdQw+io2KvMnqi1/zOPb/rOZJIQQhwNGRm1Uo+7Z1Ra5aCy2ix3drhcFFTUtHoOvtLuJK2oou5xWmEllTVNlk7XVJgM3HUnzO608tXFlXaq3WXGaxwuiivtjIgLbr9ABJC2Dja+WZ/s9PtHTJZxIYToQD0qGNVO0wG8cf1keof7c9/CzaQVVhzhO42t6cV8tD6d204dwL2zhvDt9mzWHCioP6B2mq6qCK58F+InwKK7oOhgu19LU7XTdIE2bxbcMJnQACv3L9xMRlFl+52kdprOJxBuWWKyLOTvk2k6IUSH63HTdHuzSymvcTCud1ijdmuUVtrZml7MiPhgvJSqazebpivNhj5TTWnx2nYnTNPtyCzB5dKMSghhZ2YJTne7XdmroCQdIgY2bgshjoZM07VSjwtGQgjRhUgwaqUeNU0nhBCie5JgJIQQwuMkGAkhhPA4CUZCCCE8ToKREEIIj5NgJIQQwuMkGAkhhPA4CUZCCCE8ToKREEIIj5NgJIQQwuO6RTogpVQukOzpfnSASCDP053oYMfDNcLxcZ3HwzVC+15nntb6rHZ6rR6tWwSjnkoplai1nuTpfnSk4+Ea4fi4zuPhGuH4uc6uRqbphBBCeJwEIyGEEB4nwcizXvZ0BzrB8XCNcHxc5/FwjXD8XGeXIveMhBBCeJyMjIQQQnicBCMhhBAeJ8GoEyil5iulcpRS2xo8F66U+l4ptdf9d5gn+9gelFK9lVJLlFI7lFLblVJ3u5/vMdeqlPJVSq1VSm12X+Nj7uf7K6XWKKX2KaU+UEr5eLqv7UEp5aWU2qiU+tL9uMddp1LqoFJqq1Jqk1Iq0f1cj/md7S4kGHWON4CmG98eAH7UWg8GfnQ/7u4cwH1a6xHAVODXSqkR9KxrrQZO11qPBcYBZymlpgL/AJ7WWg8CCoGbPNfFdnU3sLPB4556nTO01uMa7C/qSb+z3YIEo06gtf4FKGjy9IXAAnd7AXBRZ/apI2itM7XWG9ztUsybWAI96Fq1UeZ+aHX/0cDpwEfu57v1NdZSSvUCzgVedT9W9MDrPIQe8zvbXUgw8pwYrXWmu50FxHiyM+1NKdUPGA+soYddq3vqahOQA3wP7AeKtNYO9yFpmCDc3T0D/B5wuR9H0DOvUwPfKaXWK6VudT/Xo35nuwNvT3dAmE/bSqkes8ZeKRUIfAz8VmtdYj5QGz3hWrXWTmCcUioU+BQY5tketT+l1HlAjtZ6vVJquoe709FO1lqnK6Wige+VUrsafrEn/M52BzIy8pxspVQcgPvvHA/3p10opayYQPSO1voT99M98lq11kXAEuBEIFQpVfvhrheQ7ql+tZNpwAVKqYPA+5jpuf/Q864TrXW6++8czIeLKfTQ39muTIKR53wBXOduXwd87sG+tAv3PYXXgJ1a66cafKnHXKtSKso9IkIp5QfMwtwbWwJc5j6sW18jgNb6j1rrXlrrfsCVwE9a66voYdeplApQSgXVtoHZwDZ60O9sdyEZGDqBUuo9YDomNX028AjwGfAh0AdTHuMKrXXTRQ7dilLqZGAZsJX6+wwPYu4b9YhrVUqNwdzQ9sJ8mPtQa/0XpdQAzAgiHNgIXK21rvZcT9uPe5rufq31eT3tOt3X86n7oTfwrtb6caVUBD3kd7a7kGAkhBDC42SaTgghhMdJMBJCCOFxEoyEEEJ4nAQjIYQQHifBSAghhMdJMBJCCOFxEoxEt6GUClVK/eoIx/RTSs1rxWv1a1jSo4WvX6+Ueu4QX1vZ9DWUUtNryywIIdpOgpHoTkKBwwYjoB9wxGB0LLTWJ3Xk6wtxPJJgJLqTJ4CB7iJoT7r/bHMXRpvT4JhT3Mfc4x69LFNKbXD/aUsg6a2UWuousPZI7ZNKqbLDfZMQou0ka7foTh4ARmmtxymlLgVuB8Zi0iytU0r94j7mfq31eQBKKX9glta6Sik1GHgPmNTyyzczBRgFVLhf/yutdWL7XpIQAiQYie7rZOA9dzmHbKXUz8BkoKTJcVbgOaXUOMAJDGnDOb7XWucDKKU+cZ9TgpEQHUCCkejp7sEkpx2LmZauasP3Nk3cKIkcheggcs9IdCelQJC7vQyY4666GgWcCqxtcgxACJCptXYB12CybbfWLKVUuLtUxEXAimPsvxDiEGRkJLoNrXW+UmqFezn1YmALsBkzYvm91jpLKZUPOJVSm4E3gBeAj5VS1wLfAOVtOOVaTKHAXsDbcr9IiI4jJSSEEEJ4nEzTCSGE8DiZphPHNaXUmcA/mjx9QGt9sSf6I8TxSqbphBBCeJxM0wkhhPA4CUZCCCE8ToKREEIIj5NgJIQQwuP+H2tVQvlL0fDnAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 429.625x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x = 'total_bill' , y ='tip'  , data = df1 ,style = 'time',hue = 'smoker')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243672a0a90>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 402.375x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x = 'total_bill' , y ='tip', data = df1 , size = 'size'  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243674f6b30>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x = 'total_bill' , y ='tip' , kind  = 'line' , data = df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243675495a0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x = 'total_bill' , y ='tip' , col= 'time',data =df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243673d9f60>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x='total_bill', y='tip',data=df1,col='day')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24368819690>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x='total_bill', y='tip',data=df1,col='sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2436760de70>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x = 'day' , y = 'total_bill', data = df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243688bdc60>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x = 'day' , y = 'tip', data = df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\nayak\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 8.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x243688189d0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x = 'day' , y = 'tip', data = df1 , kind = 'swarm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24368de6da0>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaUAAAFgCAYAAAAb92apAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAAcQUlEQVR4nO3dfZBcV3nn8d8z07Y0lozBba3XzFpRtsYBCtsx9sCisGadYpTt2GQhFW2AMkybZKNUstFolU0oXlQIF4TNC+uNrE02pQRCT4FZWAcvBmsbjyBeJyniZWwLj2RhUOGR4rGM5TYGCQ2Se+bZP/qOGQ/z0t3Tfc+53d9P1ZR6uvv2fXzdPb8+5557jrm7AACIQU/oAgAAmEMoAQCiQSgBAKJBKAEAokEoAQCikQtdQD0KhYKXy+XQZQBAIyx0AVmUiZbSM888E7oEAEAKMhFKAIDuQCgBAKJBKAEAokEoAQCiQSgBAKJBKAEAokEoAQCiQSgBAKJBKAFtUKlUNDIyokqlEroUIFPaFkpm9gkze9rMDs2772IzGzOzbyf/vqxd+wdCKpVKmpiY0OjoaOhSgExpZ0vpk5IKC+57r6SvuPsVkr6S/A50lEqlonK5LHdXuVymtQQ0oG2h5O73S3p2wd1vkVRKbpckvbVd+wdCKZVKmp2dlSTNzMzQWgIakPY5pUvd/URy+ylJly71RDPbZmbjZjZ+8uTJdKoDWuDAgQOqVquSpGq1qrGxscAVAdkRbKCDu7skX+bxfe4+6O6DGzZsSLEyYHWGhoaUy9VWhcnlctqyZUvgioDsSDuUvmtml0lS8u/TKe8faLtisaientpHq7e3V8PDw4ErArIj7VC6W1IxuV2U9IWU9w+0XT6fV6FQkJmpUCgon8+HLgnIjLatPGtmn5F0g6RLzOwJSbsl/aGkz5nZr0s6JulX27V/IKRisajJyUlaSUCDrHZqJ26Dg4M+Pj4eugwAaATLoTeBGR0AANEglAAA0SCUAADRIJQAANEglAAA0SCUAADRIJQAANEglAAA0SCUAADRIJQAANEglAAA0SCUAADRIJQAANEglAAA0SCUAADRIJQAANEglAAA0SCUAADRIJQAANEglAAA0SCUAADRIJSANqhUKhoZGVGlUgldCpAphBLQBqVSSRMTExodHQ1dCpAphBLQYpVKReVyWe6ucrlMawloAKEEtFipVNLs7KwkaWZmhtYS0ABCCWixAwcOqFqtSpKq1arGxsYCVwRkB6EEtNjQ0JByuZwkKZfLacuWLYErArKDUAJarFgsqqen9tHq7e3V8PBw4IqA7CCUgBbL5/MqFAoyMxUKBeXz+dAlAZmRC10A0ImKxaImJydpJQENMncPXcOKBgcHfXx8PHQZANAIC11AFtF9BwCIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIRpBQMrOdZnbYzA6Z2WfMbG2IOgAAcUk9lMysX9KIpEF3v1JSr6S3p10HACA+obrvcpL6zCwn6QJJTwaqAwAQkdRDyd2nJH1M0nFJJyR9393vXfg8M9tmZuNmNn7y5Mm0ywQABBCi++5lkt4i6aclvVzSOjN758Lnufs+dx9098ENGzakXSYAIIAQ3XdDkh5395Pu/rykz0v6uQB1AAAiEyKUjkt6vZldYGYm6U2SjgSoAwAQmRDnlB6QdKekhyRNJDXsS7sOAEB8ciF26u67Je0OsW8AQLyY0QEAEA1CCQAQDUIJABANQgkAEA1CCWiDSqWikZERVSqV0KUAmUIoAW1QKpU0MTGh0dHR0KUAmUIoAS1WqVRULpfl7iqXy7SWgAYQSkCLlUolzc7OSpJmZmZoLQENIJSAFjtw4ICq1aokqVqtamxsLHBFQHYQSkCLDQ0NKZerTZaSy+W0ZcuWwBUB2UEoAS1WLBbV01P7aPX29mp4eDhwRUB2EEpAi+XzeRUKBZmZCoWC8vl86JKAzAgyISvQ6YrFoiYnJ2klAQ0ydw9dw4oGBwd9fHw8dBkA0AgLXUAW0X0HAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQQAiAahBACIBqEEAIgGoQS0QaVS0cjIiCqVSuhSgEwhlIA2KJVKmpiY0OjoaOhSgEwhlIAWq1QqKpfLcneVy2VaS0ADCCWgxUqlkmZnZyVJMzMztJaABuRCF9BOe/fu1dGjR5d8fGpqSpLU39+/6OMDAwPavn17W2pD5zpw4ICq1aokqVqtamxsTDt37gxcFZANXd1Smp6e1vT0dOgy0GGGhoaUy9W+7+VyOW3ZsiVwRUB2mLuHrmFFg4ODPj4+3vLX3bFjhyRpz549LX9tdK9KpaJ3vOMdOnfunNasWaM77rhD+Xw+dFlIn4UuIIu6uqUEtEM+n1ehUJCZqVAopBpIDEVH1hFKQBsUi0VdddVVGh4eTnW/DEVH1hFKQBvk83ndfvvtqbeSGIqOrOvo0XdAN1lsKHoso/6WGwm70ihYiZGw3YSWEtAhFhuKngWMgsV8tJSADjE0NKT9+/erWq1GNxR9uVYOo2AxHy0loEMUi0X19NQ+0r29vakPsgBagVACOkTIoehAq9B9B3SQYrGoyclJWknILEIJ6CBzQ9GBrKL7DgAQDUIJABANQgkAEA1CCQAQDUIJABANQgkAEI0goWRmLzWzO83sm2Z2xMw2h6gDABCXUNcp7ZFUdvetZna+pAsC1QEAiEjqLSUzu0jSGyV9XJLc/Zy7P5d2HUA7sQIs0JwQ3Xc/LemkpL82s4fN7K/MbF2AOoC2YQVYoDkhQikn6VpJ/8PdXyPph5Leu/BJZrbNzMbNbPzkyZNp1wg0jRVggeaFCKUnJD3h7g8kv9+pWki9iLvvc/dBdx/csGFDqgUCq7HYCrAA6pN6KLn7U5L+ycxekdz1JkmPpl0H0C5ZXQEWiEGo65S2S/q0mT0i6RpJHw1UB9ByQ0NDyuVqA1tjWwEWiF2QUHL3g0nX3NXu/lZ3/16IOoB2YAVYoHnM6AC0GCvAAs1jkT+gDVgBFmgOoQS0ASvAAs2h+w4AEA1CCQAQDUIJABCNus4pmdm1kv61JJf0D+7+UFurAgB0pRVbSmb2QUklSXlJl6g2kequdhcGAOg+9XTf3Szpte6+2913S3q9pHe1tywAQDPMbJ2Z3WNm3zCzQ2b2NjO7zsz+r5k9aGZfNrPLzOwiM3tsbso3M/uMmf1G6Prr6b57UtJaST9Kfl8jaaptFQEAVqMg6Ul3v0l6YQ27/yPpLe5+0szeJukP3P3XzOx3JH3SzPZIepm7/2W4smvqCaXvSzpsZmOqnVPaIun/mdntkuTuI22sDwDQmAlJ/9XM/kjSlyR9T9KVksbMTJJ6JZ2QJHcfM7N/L+nPJP1smHJfrJ5Quiv5mXNfe0oBAKyWu38rGZx2o6SPSPqqpMPuvnnhc82sR9KrJJ2R9DLVlhYKasVQcvdSGoUAAFbPzF4u6Vl3/5SZPSfptyVtMLPN7v41MztP0s+4+2FJOyUdkfR+1QaxbXb354MVr2VCycw+5+6/amYTqnXbvYi7X93WygAAzbhK0p+Y2ayk5yX9lqSqpNuT80s5SX9qZlVJ/0HS69z9lJndL2mXpN2B6pa0fEtpR/LvEUm/P+9+k/THbasIANA0d/+ypC8v8tAbF7nvVfO2+922FdWAJUPJ3U8kNwfc/dj8x8zslW2tCgDQlZa8TsnMfivpunuFmT0y7+dxSY+kV2LnqVQqGhkZUaVSCV0KAERluYtn75D0S5LuTv6d+7nO3d+ZQm0dq1QqaWJiQqOjo6FLAYCoLNd9933VrlF6R3rldL5KpaJyuSx3V7lc1vDwMCuTAm2yd+9eHT16dMnHp6Zq8wD09/cv+vjAwIC2b9/eltqwOGYJT1mpVNLs7KwkaWZmhtYSEND09LSmp6dDl4F5WHk2ZQcOHFC1WpUkVatVjY2NaefOnYGrQqP4Bp4NKx3jHTtqg4z37NmTRjmoAy2llA0NDSmXq30XyOVy2rJlS+CK0A58A0dMzMzN7FPzfs+Z2Ukz+9IK292w0nNajZZSyorFovbv3y9JMjMNDw8HrgjNiPUbeKVS0a233qrdu3dzrjJSb9xy4/3qyW1s2QvOVo/fP7Z/sWuQ5vuhpCvNrM/dp1WbwzTKibUJpZTl83mtXbtWp0+f1po1a/jDgZaaP7KTbuFI9eQ2/vDqrT/Vqpdb98id9T51v6SbJN2p2gC2z0i6XpLM7HWS9qi2IsS0pHe7+2PzNzazdZL2qja563mSPuTuX2jBf8KL0H2XsqNHj+r06dOSpNOnTy97XgJoxMKRnVwHhwX+p6S3m9laSVdLemDeY9+UdL27v0bSByV9dJHtPyDpq+7+Okk/r9pURutaXSShlLKPfOQjy/4ONIuRnViOuz8iaZNqraT9Cx6+SNL/MrNDkv6bpFcv8hK/IOm9ZnZQtdUi1kpqXTdkglBK2eTk5LK/A81abGQnsMDdkj6mWtfdfB+W9LfufqVqkySsXWRbk/Qr7n5N8rPR3Y+0ukBCKWWbNm1a9negWYzsRB0+IelWd59YcP9F+vHAh1uW2PbLkrZbslKgmb2mHQUSSinbtWvXsr8DzSoWi+rpqX2ke3t7GdmJn+DuT7j77Ys89MeS/ouZPaylB8B9WLUBDo+Y2eHk95Zj9F3KBgYGtGnTJk1OTmrTpk0aGBgIXRI6RD6fV6FQ0Be/+EUVCgVGdsZqtnq8gRFzdb3eSk9x9/WL3HefkpXE3f1rkn5m3sO7FnnOtKTfXGW1KyKUAti1a5d27NhBKwktVywWNTk5SSspYnVcU9TVCKUABgYGdM8994QuAx0on8/r9tsX650BsoFzSkAHYa0uZB0tJbxguUlGmWA0G5jRAVlHSwl1YYLR+DGjAzoBLSW8YLmWDlP8x2+xGR1oLSFraCkBHYIZHbAUM5sxs4Pzfja1cV+TZnZJs9vTUgI6xNDQkPbv369qtcqMDhH75V+4/v7ze1s3Z9y5GR2/696/W2mY+bS7X9OqfbYToQR0iGKxqHK5LIkZHWJ2fq82/snm51q2dMXvf+2lTW1nZtdJuk3SeknPSLrF3U+Y2X2SHlZtWYt1koYlvU/SVZI+6+67ku3/t6TLVZsnb4+771tkH++UNCLpfNVmJf9td59Zri6674AOMTejg5kxowMW6pvXdXeXmZ2n2tpIW939OtXmxPuDec8/5+6Dkv5C0hck/UfV1lG6xczm3li/lmw7KGlk3v2SJDN7laS3SXpD0kqbkXTzSoXSUgI6CDM6YAkv6r4zsytVC5mxZH7VXkkn5j3/7uTfCUmH3f1Est13VGsdVVQLol9Onne5pCuS++e8SdJ1kr6e7KNP0tMrFUooAR2EGR1QJ1MtbDYv8fjZ5N/Zebfnfs+Z2Q2ShiRtdvczSZffwuUuTFLJ3d/XSGF03wFA93lM0gYz2yxJZnaemS22sN9SLpL0vSSQXinp9Ys85yuStprZP0v2cbGZrXgujVACgC7j7uckbZX0R2b2DUkHJf1cAy9RVq3FdETSH0r6x0X28ahqs43fa2aPSBqTdNlKL0z3HQCk6NyMjjc7Ym6p11vpOUssXXFQ0k8MJXf3G+bdvk/J0hULH5P0i0vsa9O825+V9NmV6puPUAKAFNVxTVFXI5QQ3GomgpWYDBboJIQSosYksEB3IZQQHBPBAphDKLXBct1REmsTAcBSCKUA6JICgMURSm2wUiuHLikAWBwXzwIAohGspWRmvZLGJU25+5tD1QFkzWqG0HO+ErEL2X23Q9IRSS8JWAPQUThfiawLEkpm9i8k3aTa+h2/G6IGIKsYQo9OFqql9KeS3iPpwtW+0ErDr5czt93cB7kRdIMAPxbqcyjxWew0qYeSmb1Z0tPu/mCyJsdSz9smaZskbdy49HL2R48e1cFDRzRzwcUN19JzziVJD37nuw1t13vm2Yb3BXSyEJ9Dic9iJwrRUnqDpH9nZjeqtijUS8zsU+7+zvlPStZ73ydJg4ODvtwLzlxwsaZfeWO76v0Jfd/cn9q+gKxI+3Mo1T6LU1NTTbey6C2JT+qhlKxC+D5JSlpKv7cwkACgXtPT0/r24Ye1cf1Mw9ue/3ztqpizx8Yb2u746d6G94X6cPEsgMzbuH5G77/2B6nt76MPMWi4XYKG0sIFpAAA3Y0ZHQAA0SCUAADRIJQAANEglAAA0SCUAADRIJQAANEglAAA0SCUAADRIJQAANFgmiEAmXb27Fkd+1FvqlP/HDvVq3XJKr9oLVpKAIBo0FICkGlr1qzR5edNpz4h65r+/tT2100IJWAJrGoMpI9Q6iIsWd0YVjUG0kcodRGWrG4cqxoD6SKUukyoJasBoB6MvgMARIOWElIxNTXV1PmobjyXBXQzQgmpmJ6e1rcPP6yN62ca2u7852uN+bPHxhve5/HTvQ1vAyAsQgmp2bh+JvVrSQBkC+eUAADRIJQAANGg+w6ITLODQqRwA0OmpqbUe+b7qQ//7z1T0Vlz6bxUd4s2IpSalMU/HMiGZgeFSAwMQfYRSk3iDwfaKe1BIdLqBob09/frqbO5IBdmr589JWk61f2ifQilVcjaH46QsrjmTYguKbqj0O0Y6AAAiAYtJaQii2vehOiSojsK3Y6WEgAgGoQSACAahBIAIBqEEgAgGoQSACAahBIAIBoMCQeQecdPN3dh9nfP1L6XX3rBbMP7u6LhvaEehBKATOvr61P/wEBT255L5qFc81ONbX+FanNQovUIJSAyIaZkklY/LVMo/f392rNnT1Pbzk2K3Oz2aD1CqYuwvACA2BFKQGRCTMkkrX5aJqAVMh9KzORcP5YXABC7zIcSsqOZEVLNjo6a2x8jpIBsyXwoMZNzNjQ7QqrZ0VESI6SALMp8KCEbmh0hxegooLswowMAIBqEEgAgGoQSACAahBIAIBqEEgAgGoQSACAahBIAIBqEEgAgGlw8C0Qo7UXr5vbJtEwIjVACIhNi0TqJaZkQB0IJiAyL1qGbpX5OycwuN7O/NbNHzeywme1IuwYAQJxCtJSqkv6zuz9kZhdKetDMxtz90QC1AAAiknooufsJSSeS26fM7IikfklNh1LvmWebWuSv50e1lT1n1zZ2Qrn3zLM6a7M69qPmTkavxrFTvVo3NZXqPttt7969OpqcC1lo7v65bqnFDAwMaPv27W2pLcR7S7q04f3FIO1jNbfPrB4vLC7oOSUz2yTpNZIeWOSxbZK2SdLGjRuXfI3VnJg9evRU7TX+ZaNv6kv12GOPSc+fa3rfqE9fX1+wfYd6b2VxsEGYYyVl9XhhacFCyczWS/obSf/J3X+w8HF33ydpnyQNDg76Uq+zmm/IqzkpvGPHDp09Nq73X/sTpbfVRx96idb096e6z3ZrVytntUK9t7KIY4VWCXLxrJmdp1ogfdrdPx+iBgBAfEKMvjNJH5d0xN1vS3v/AIB4hei+e4Okd0maMLODyX3vd/fGz5AGxlX3ANBaIUbf/b0kS3u/rbaak6tcdQ8Ai2NGhyZxYhcAWo9ZwgEA0SCUAADRoPuuy3DVPYCYEUpdhKvuAcSOUOoiDM4AEDvOKQEAokEoAQCiQfcdXrCaJSTauXwEgO5BKKEuIZeQANA9OjqUlvvmL/Htf6Fu+m8FEKeODqWV8O0fAOLS0aHEN38AyBZG3wEAotHRLSUAcVjNyE6p+87vdjNCCUBQnNvFfIRSGzDqD3gx3s+oF6EUAN8MAWBxhFIb8K0QAJrD6DsAQDQIJQBANAglRK1SqWhkZESVSiV0KQBSQCghaqVSSRMTExodHQ1dCoAUEEqIVqVSUblclrurXC7TWgK6gLl76BpWNDg46OPj46HLQMpuu+027d+/X9VqVblcTjfddJN27twZuixJ9V+LNjAwsOjjq7kWrZ7ZEdqx3ywK+f9JkjW7YTejpYRoHThwQNVqVZJUrVY1NjYWuKL69fX1BbkeLdR+s4rjFR9aSohWzC0loA60lJpASwnRKhaL6umpvUV7e3s1PDwcuCIA7UYoIVr5fF6FQkFmpkKhoHw+H7okAG3GNEOIWrFY1OTkJK0koEtwTgkA2oNzSk2g+w4AEA1CCQAQDUIJABANQgkAEA1CCQAQDUIJABANQgkAEA1CCQAQjUxcPGtmJyUdC13HIi6R9EzoIjKCY9UYjlf9Yj1Wz7h7IXQRWZOJUIqVmY27+2DoOrKAY9UYjlf9OFadhe47AEA0CCUAQDQIpdXZF7qADOFYNYbjVT+OVQfhnBIAIBq0lAAA0SCUAADRIJTmMbO8mR1Mfp4ys6nk9nNm9mjo+rLCzGbmHceDZrZpkefsN7OXpl9dPMzsA2Z22MweSY7Tv1rmubeY2cvTrC8mjRwrZBvLoc/j7hVJ10iSmX1I0ml3/1jyR/VLzb6umeXcvdqKGjNi2t2vWewBMzPVzmXemG5JcTGzzZLeLOladz9rZpdIOn+ZTW6RdEjSkymUF5UmjhUyjJZS/XrN7C+Tb2v3mlmfJJnZfWY2mNy+xMwmk9u3mNndZvZVSV8JV3Z4ZrbJzB4zs1HV/rBebmaTyR+XbnWZalf8n5Ukd3/G3Z80sw+a2dfN7JCZ7bOarZIGJX06aSX0Ba08fUsdqxfeQ2Y2aGb3Jbc/ZGafSD6b3zGzkXClo1GEUv2ukPRn7v5qSc9J+pU6trlW0lZ3/zftLCxCffO67u5K7rtC0p+7+6vdPcYpo9J2r2rh/C0z+3Mzm3uP/Hd3f627XympT9Kb3f1OSeOSbnb3a9x9OlTRgSx1rJbzSkn/VtLrJO02s/PaWiFahu67+j3u7geT2w9K2lTHNmPu/mzbKorXi7rvku7PY+7+j8Eqioy7nzaz6yRdL+nnJX3WzN4r6ZSZvUfSBZIulnRY0hfDVRreMsdqOfckLauzZva0pEslPdHmUtEChFL9zs67PaPat1hJqurHLc61C7b5YbuLyhCOxQLuPiPpPkn3mdmEpN+UdLWkQXf/p+S85sL3VFda5FgVtfxnb+Hnlb91GUH33epNSrouub01YB3IEDN7hZldMe+uayQ9ltx+xszW68Xvp1OSLkypvKgscayO6cWfvXq605EBfHtYvY9J+pyZbZN0T+hikBnrJe1NhsVXJR2VtE2185WHJD0l6evznv9JSX9hZtOSNnfZeaWljtWrJH3czD6sWisKHYBphgAA0aD7DgAQDUIJABANQgkAEA1CCQAQDUIJABANQgldI5kT7fdC1wFgaYQSACAahBI6WrIOz7fM7O8lvSK57zeSmbi/YWZ/Y2YXmNmFZvb43MSdZvaS+b8DSAehhI6VTOL5dtWmpblR0muThz6fzMT9s5KOSPp1dz+l2qwANyXPeXvyvOdTLRrocoQSOtn1ku5y9zPu/gNJdyf3X2lmf5dM7HmzpFcn9/+VpHcnt98t6a9TrRYAoYSu9ElJv+PuV0m6VckM0+7+D5I2mdkNknrd/VCoAoFuRSihk90v6a1m1mdmF0r6peT+CyWdSM4X3bxgm1FJd4hWEhAEE7Kio5nZB1Rbe+dpScclPaTa2k7vkXRS0gOSLnT3W5Ln/3NJj0u6zN2fC1Ay0NUIJWAeM9sq6S3u/q7QtQDdiPWUgISZ7ZX0i6qN1AMQAC0lAEA0GOgAAIgGoQQAiAahBACIBqEEAIgGoQQAiMb/BwJxyU+QmaUCAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432.125x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x = 'day' , y = 'tip',kind = 'box' , data = df1,hue = 'sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0             5.1          3.5           1.4          0.2     setosa\n",
       "1             4.9          3.0           1.4          0.2     setosa\n",
       "2             4.7          3.2           1.3          0.2     setosa\n",
       "3             4.6          3.1           1.5          0.2     setosa\n",
       "4             5.0          3.6           1.4          0.2     setosa\n",
       "..            ...          ...           ...          ...        ...\n",
       "145           6.7          3.0           5.2          2.3  virginica\n",
       "146           6.3          2.5           5.0          1.9  virginica\n",
       "147           6.5          3.0           5.2          2.0  virginica\n",
       "148           6.2          3.4           5.4          2.3  virginica\n",
       "149           5.9          3.0           5.1          1.8  virginica\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x24368eae3b0>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cufflinks as cf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.12.1.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cf.go_offline()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": true
       },
       "data": [
        {
         "histfunc": "count",
         "histnorm": "",
         "marker": {
          "color": "rgba(255, 153, 51, 1.0)",
          "line": {
           "color": "#4D5663",
           "width": 1.3
          }
         },
         "name": "sepal_length",
         "nbinsx": 10,
         "opacity": 0.8,
         "orientation": "v",
         "type": "histogram",
         "x": [
          5.1,
          4.9,
          4.7,
          4.6,
          5,
          5.4,
          4.6,
          5,
          4.4,
          4.9,
          5.4,
          4.8,
          4.8,
          4.3,
          5.8,
          5.7,
          5.4,
          5.1,
          5.7,
          5.1,
          5.4,
          5.1,
          4.6,
          5.1,
          4.8,
          5,
          5,
          5.2,
          5.2,
          4.7,
          4.8,
          5.4,
          5.2,
          5.5,
          4.9,
          5,
          5.5,
          4.9,
          4.4,
          5.1,
          5,
          4.5,
          4.4,
          5,
          5.1,
          4.8,
          5.1,
          4.6,
          5.3,
          5,
          7,
          6.4,
          6.9,
          5.5,
          6.5,
          5.7,
          6.3,
          4.9,
          6.6,
          5.2,
          5,
          5.9,
          6,
          6.1,
          5.6,
          6.7,
          5.6,
          5.8,
          6.2,
          5.6,
          5.9,
          6.1,
          6.3,
          6.1,
          6.4,
          6.6,
          6.8,
          6.7,
          6,
          5.7,
          5.5,
          5.5,
          5.8,
          6,
          5.4,
          6,
          6.7,
          6.3,
          5.6,
          5.5,
          5.5,
          6.1,
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   "source": [
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  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "titanic = sns.load_dataset('titanic')"
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  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
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       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>S</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   survived  pclass     sex   age  sibsp  parch     fare embarked  class  \\\n",
       "0         0       3    male  22.0      1      0   7.2500        S  Third   \n",
       "1         1       1  female  38.0      1      0  71.2833        C  First   \n",
       "2         1       3  female  26.0      0      0   7.9250        S  Third   \n",
       "3         1       1  female  35.0      1      0  53.1000        S  First   \n",
       "4         0       3    male  35.0      0      0   8.0500        S  Third   \n",
       "\n",
       "     who  adult_male deck  embark_town alive  alone  \n",
       "0    man        True  NaN  Southampton    no  False  \n",
       "1  woman       False    C    Cherbourg   yes  False  \n",
       "2  woman       False  NaN  Southampton   yes   True  \n",
       "3  woman       False    C  Southampton   yes  False  \n",
       "4    man        True  NaN  Southampton    no   True  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic.head()"
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  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
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     },
     "metadata": {},
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    }
   ],
   "source": [
    "titanic.iplot(x = 'sex' , y = 'survived' , kind = \"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "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>Servings</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Location</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>China &amp; Hong Kong</th>\n",
       "      <td>40 430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indonesia</th>\n",
       "      <td>13 200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japan</th>\n",
       "      <td>5 540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vietnam</th>\n",
       "      <td>4 800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USA</th>\n",
       "      <td>4 210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Korea</th>\n",
       "      <td>3 650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philippines</th>\n",
       "      <td>3 480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India</th>\n",
       "      <td>3 260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thailand</th>\n",
       "      <td>3 070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brazil</th>\n",
       "      <td>2 280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Russia</th>\n",
       "      <td>1 840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nigeria</th>\n",
       "      <td>1 540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malaysia</th>\n",
       "      <td>1 360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nepal</th>\n",
       "      <td>1 190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexico</th>\n",
       "      <td>830</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Servings\n",
       "Location                   \n",
       "China & Hong Kong    40 430\n",
       "Indonesia            13 200\n",
       "Japan                 5 540\n",
       "Vietnam               4 800\n",
       "USA                   4 210\n",
       "Korea                 3 650\n",
       "Philippines           3 480\n",
       "India                 3 260\n",
       "Thailand              3 070\n",
       "Brazil                2 280\n",
       "Russia                1 840\n",
       "Nigeria               1 540\n",
       "Malaysia              1 360\n",
       "Nepal                 1 190\n",
       "Mexico                  830"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"https://raw.githubusercontent.com/plotly/datasets/master/2015_Instant_Noodle_Consumption_Around_the_World.csv\", index_col=\"Location\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'API' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32mc:\\Users\\nayak\\Desktop\\SelfProject\\iNeuron\\Python\\038.graphs day 2.ipynb Cell 39'\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/c%3A/Users/nayak/Desktop/SelfProject/iNeuron/Python/038.graphs%20day%202.ipynb#ch0000037?line=0'>1</a>\u001b[0m API , FLSK\n",
      "\u001b[1;31mNameError\u001b[0m: name 'API' is not defined"
     ]
    }
   ],
   "source": [
    "API , FLSK "
   ]
  }
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