CP-- Box Plot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8b276a0b",
   "metadata": {},
   "source": [
    "# Box Plot\n",
    "In Seaborn, a box plot is a statistical visualization that shows the distribution of a dataset. It displays the median, quartiles, and outliers of a dataset in a way that is easy to interpret. The box in the box plot represents the interquartile range (IQR), which is the range between the 25th and 75th percentiles of the data. The line inside the box represents the median of the data, while the whiskers extending from the box show the range of the data, excluding the outliers. Outliers are individual points that fall outside of the whiskers.\n",
    "\n",
    "Box plots are useful for identifying outliers, comparing the spread and skewness of different datasets, and detecting differences between groups of data. They are often used in statistical analysis and data exploration to gain insights into the distribution of the data.\n",
    "\n",
    "Seaborn provides several customization options for box plots, including changing the color palette, grouping the data by a categorical variable, and changing the orientation of the plot. These options allow you to create more informative and visually appealing visualizations that convey the underlying structure of your data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "294556b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "55262ed0",
   "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>Invoice ID</th>\n",
       "      <th>Branch</th>\n",
       "      <th>City</th>\n",
       "      <th>Customer type</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Product line</th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>Payment</th>\n",
       "      <th>cogs</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>692-92-5582</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Food_and_beverages</td>\n",
       "      <td>54.84</td>\n",
       "      <td>3</td>\n",
       "      <td>8.226</td>\n",
       "      <td>172.746</td>\n",
       "      <td>2/20/2019</td>\n",
       "      <td>13:27:00</td>\n",
       "      <td>Credit card</td>\n",
       "      <td>164.52</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>8.226</td>\n",
       "      <td>5.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>351-62-0822</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Fashion_accessories</td>\n",
       "      <td>14.48</td>\n",
       "      <td>4</td>\n",
       "      <td>2.896</td>\n",
       "      <td>60.816</td>\n",
       "      <td>2019-06-02 00:00:00</td>\n",
       "      <td>18:07:00</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>57.92</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>2.896</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>529-56-3974</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Male</td>\n",
       "      <td>Electronic_accessories</td>\n",
       "      <td>25.51</td>\n",
       "      <td>4</td>\n",
       "      <td>5.102</td>\n",
       "      <td>107.142</td>\n",
       "      <td>2019-09-03 00:00:00</td>\n",
       "      <td>17:03:00</td>\n",
       "      <td>Cash</td>\n",
       "      <td>102.04</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>5.102</td>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>299-46-1805</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Sports_and_travel</td>\n",
       "      <td>93.72</td>\n",
       "      <td>6</td>\n",
       "      <td>28.116</td>\n",
       "      <td>590.436</td>\n",
       "      <td>1/15/2019</td>\n",
       "      <td>16:19:00</td>\n",
       "      <td>Cash</td>\n",
       "      <td>562.32</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>28.116</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>319-50-3348</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Female</td>\n",
       "      <td>Home_and_lifestyle</td>\n",
       "      <td>40.30</td>\n",
       "      <td>2</td>\n",
       "      <td>4.030</td>\n",
       "      <td>84.630</td>\n",
       "      <td>2019-11-03 00:00:00</td>\n",
       "      <td>15:30:00</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>80.60</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>4.030</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Invoice ID Branch      City Customer type  Gender            Product line  \\\n",
       "0  692-92-5582      B  Mandalay        Member  Female      Food_and_beverages   \n",
       "1  351-62-0822      B  Mandalay        Member  Female     Fashion_accessories   \n",
       "2  529-56-3974      B  Mandalay        Member    Male  Electronic_accessories   \n",
       "3  299-46-1805      B  Mandalay        Member  Female       Sports_and_travel   \n",
       "4  319-50-3348      B  Mandalay        Normal  Female      Home_and_lifestyle   \n",
       "\n",
       "   Unit price  Quantity  Tax 5%    Total                 Date      Time  \\\n",
       "0       54.84         3   8.226  172.746            2/20/2019  13:27:00   \n",
       "1       14.48         4   2.896   60.816  2019-06-02 00:00:00  18:07:00   \n",
       "2       25.51         4   5.102  107.142  2019-09-03 00:00:00  17:03:00   \n",
       "3       93.72         6  28.116  590.436            1/15/2019  16:19:00   \n",
       "4       40.30         2   4.030   84.630  2019-11-03 00:00:00  15:30:00   \n",
       "\n",
       "       Payment    cogs  gross margin percentage  gross income  Rating  \n",
       "0  Credit card  164.52                 4.761905         8.226     5.9  \n",
       "1      Ewallet   57.92                 4.761905         2.896     4.5  \n",
       "2         Cash  102.04                 4.761905         5.102     6.8  \n",
       "3         Cash  562.32                 4.761905        28.116     4.5  \n",
       "4      Ewallet   80.60                 4.761905         4.030     4.4  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mart = pd.read_excel('supermarket_sales.xlsx')\n",
    "mart.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "00651a31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Total'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Total', data=mart, width=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cfdecf9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Total'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y='Total', data=mart, width=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9bd9ddc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Payment', ylabel='Total'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Payment', y ='Total', data=mart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d436e6d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Payment', ylabel='Total'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Payment', y ='Total', hue='Gender', data=mart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ce068872",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Payment', ylabel='Total'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Payment', y ='Total', hue='Gender', data=mart, showmeans=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "76179394",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Payment', ylabel='Total'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+fn4urgSS7AchhYWFlV4HARgAAKAcLrWxtJ7KGf8OBGAAAACYCgEYAAAAkqT4+HglJia6uowqRwAGAABwI+np6Ro5cqRiY2NltVoVERGhdu3a6dVXX9Xp06ddXd4lgVkgAAAA3MQvv/yiG264QTVr1lRycrKaN2+uoqIi/fjjj3rrrbcUHR2t7t27u7rMMhUXF8tisbj9zBPuXR0AAICJDBs2TD4+PtqxY4f69u2rJk2aqHnz5rr99tv1ySefqFu3bpKkrKwsPfDAA6pbt65CQkL0z3/+U99++619PTNnzlTPnj21cOFCNWzYUKGhobrrrrt08uRJe5tTp07pnnvuUY0aNRQVFaUpU6aUqqegoEBjx47VZZddpqCgILVu3VqbNm2yvz5//nzVrFlTK1asUNOmTeXv769ff/216r4gJ3H7APzbb7/p7rvvVnh4uAIDA3XttdcqNTXV/rphGEpKSlJ0dLQCAgIUHx+vPXv2OKwjPz9fjzzyiGrXrq2goCB1795dR44cqe5NAQAAKNPx48e1du1aDR8+XEFBQedsY7FYZBiGbrvtNqWnp2vlypVKTU1VixYt1KFDB504ccLe9tChQ/rwww+1YsUKrVixQps3b9bEiRPtrz/22GPauHGjUlJStHbtWm3atMkhY0nSvffeq88//1zvvvuuvvvuO/Xp00e33HKLfvrpJ3ub06dPa8KECXrzzTe1Z88e+22Y3ZlbB+DMzEzdcMMN8vX11apVq/T9999rypQpqlmzpr3N5MmTNXXqVM2aNUvbt29XZGSkOnXq5HCEk5iYqJSUFL377rvasmWLcnJy1LVrV/u8fgAAAK72888/yzAMXXnllQ7La9eurRo1aqhGjRp6/PHHtXHjRu3atUtLly5Vq1atFBcXp5dfflk1a9bU+++/b3+fYRiaN2+emjVrphtvvFEDBgzQhg0bJEk5OTmaO3euXn75ZXXq1EnNmzfXggULHLLR/v379c4772jp0qW68cYbdfnll2vMmDFq166d5s2bZ29XWFio2bNnq23btrryyivLDO/uxK3HAE+aNEkxMTEOX3LDhg3tPxuGoenTp+vJJ59U7969JUkLFixQRESEFi9erKFDhyorK0tz587VwoUL1bFjR0nSokWLFBMTo/Xr1yshIaFatwkAAOB8/jrP7VdffSWbzab+/fsrPz9fqampysnJUXh4uEO73Nxc7d+/3/78sssuU3BwsP15VFSU/TbC+/fvV0FBgdq0aWN/vVatWg7h++uvv5ZhGLriiiscPic/P9/hs/38/HTNNddcxBZXP7cOwB999JESEhLUp08fbd68WZdddpmGDRum+++/X5J04MABpaenq3Pnzvb3+Pv7q3379tq6dauGDh2q1NRUFRYWOrSJjo5Ws2bNtHXr1jIDcH5+vvLz8+3Ps7Ozq2grAQAApNjYWFksFv3www8Oyxs3bizpf7cBttlsioqKchiLW+Lss+Q+Po4xz2KxyGazSTrTiXghNptN3t7eSk1NLXXL4Ro1ath/DggI8LibhLj1EIhffvlFc+bMUVxcnNasWaMHH3xQI0aM0Ntvvy3pzDQhkhQREeHwvoiICPtr6enp8vPzU1hYWJltzmXChAkKDQ21P2JiYpy5aQAAAA7Cw8PVqVMnzZo1S6dOnSqzXYsWLZSeni4fHx/FxsY6PGrXrl2uz4qNjZWvr6+++OIL+7LMzEz9+OOP9ud///vfVVxcrIyMjFKfExkZWfkNdQNuHYBtNptatGih5ORk/f3vf9fQoUN1//33a86cOQ7t/nrUYRjGBY9ELtRm3LhxysrKsj8OHz5c+Q0BAAAoh9mzZ6uoqEitWrXSkiVLtHfvXu3bt0+LFi3SDz/8IG9vb3Xs2FFt2rRRz549tWbNGh08eFBbt27VU089pR07dpTrc2rUqKEhQ4boscce04YNG7R7924NGjTIYfqyK664Qv3799c999yjZcuW6cCBA9q+fbsmTZqklStXVtVXUC3ceghEVFSUmjZt6rCsSZMm+uCDDyTJfvSRnp6uqKgoe5uMjAx7r3BkZKQKCgqUmZnp0AuckZGhtm3blvnZ/v7+8vf3d9q2AAAAXMjll1+ub775RsnJyRo3bpyOHDkif39/NW3aVGPGjNGwYcNksVi0cuVKPfnkkxo8eLD++OMPRUZG6qabbip1Vvx8XnrpJeXk5Kh79+4KDg7W6NGjlZWV5dBm3rx5euGFFzR69Gj99ttvCg8PV5s2bdSlSxdnb3q1shjlGQTiIv369dPhw4f12Wef2Zc9+uij+vLLL7V161YZhqHo6Gg9+uijGjt2rKQz89XVrVtXkyZNsl8EV6dOHS1atEh9+/aVJKWlpalevXpauXJluS+Cy87OVmhoqLKyshQSEuL8jXVDubm5uvXWWyVJq1atso89QsXwPZoL/97Ow3dpLu78752Xl6cDBw6oUaNGslqtri7ngmw2m32asri4OLe/KUVFne/fo7x5za17gB999FG1bdtWycnJ6tu3r7766iu9/vrrev311yWdGfqQmJio5ORkxcXFKS4uTsnJyQoMDFS/fv0kSaGhoRoyZIhGjx6t8PBw1apVS2PGjFHz5s3ts0IAAADAPMoVgF955ZVyr3DEiBGVLuavrrvuOqWkpGjcuHF67rnn1KhRI02fPl39+/e3txk7dqxyc3M1bNgwZWZmqnXr1lq7dq3DtB/Tpk2Tj4+P+vbtq9zcXHXo0EHz588vdUUjAAAALn3lCsDTpk0r18osFotTA7Akde3aVV27dj3vZyYlJSkpKanMNlarVTNnztTMmTOdWhsAAAA8T7kC8IEDB6q6DgAAAKBaXFqjogEAAIALqNRFcEeOHNFHH32kQ4cOqaCgwOG1qVOnOqUwAAAAoCpUOABv2LBB3bt3V6NGjbRv3z41a9ZMBw8elGEYatGiRVXUCAAAADhNhYdAjBs3TqNHj9bu3btltVr1wQcf6PDhw2rfvr369OlTFTUCAAAATlPhALx3714NHDhQkuTj46Pc3FzVqFFDzz33nCZNmuT0AgEAAABnqnAADgoKUn5+viQpOjpa+/fvt7927Ngx51UGAADgxoqLi1VUVFRtj+LiYldv8kVr2LChpk+f7uoyKj4G+Prrr9fnn3+upk2b6rbbbtPo0aO1a9cuLVu2TNdff31V1AgAAOBWiouL1fuOPsrKPFFtnxkaVkvL3l9a7ht5PfHEE1q+fHmp5T/99JNiY2OdXJ1nqXAAnjp1qnJyciRJSUlJysnJ0ZIlSxQbG1vuG2YAAAB4MsMwlJV5Qidb3CNZqmFWWcMmff22DMOo0NsSEhI0f/58h2V16tRxYmGeqcL/Yo0bN9Y111wjSQoMDNTs2bP13XffadmyZWrQoIHTCwQAAHBbFi/JqxoelQzZ/v7+ioyMdHh4e3vr448/VsuWLWW1WtW4cWONHz9eRUVF/9ssi0WvvfaaunbtqsDAQDVp0kTbtm3Tzz//rPj4eAUFBalNmzYOQ2H379+vHj16KCIiQjVq1NB1112n9evXn7e+rKwsPfDAA6pbt65CQkL0z3/+U99++22ltrUiKhWAjx8/Xmr5n3/+qcaNGzulKAAAAFSNNWvW6O6779aIESP0/fff67XXXtP8+fP14osvOrR7/vnndc8992jnzp266qqr1K9fPw0dOlTjxo3Tjh07JEkPP/ywvX1OTo66dOmi9evX65tvvlFCQoK6deumQ4cOnbMOwzB02223KT09XStXrlRqaqpatGihDh066MSJqh1aUuEhEAcPHjznIOz8/Hz99ttvTikKAAAAF++TTz5RjRo17M9vvfVW/f7773riiSfss3o1btxYzz//vMaOHatnn33W3vbee+9V3759JUmPP/642rRpo6effloJCQmSpJEjR+ree++1t//b3/6mv/3tb/bnL7zwglJSUvTRRx85BOUSGzdu1K5du5SRkSF/f39J0ssvv6zly5fr/fff1wMPPODEb8JRuQPwRx99ZP95zZo1Cg0NtT8vLi7Whg0b1LBhQ6cWBwAAgMqLj4/Xq6++an8eFBSk2NhYbd++3aHHt7i4WHl5eTp9+rQCAwMlyT7kVZIiIiIkSc2bN3dYlpeXp+zsbIWEhOjUqVMaP368VqxYoaNHj6qoqEi5ubll9gCnpqYqJydH4eHhDstzc3MdhlZUhXIH4J49e0o6Myak5IihhK+vrxo2bKgpU6Y4tTgAAABUXkngPZvNZtP48ePVu3fvUu2tVqv9Z19fX/vPFoulzGU2m02S9Nhjj2nNmjV6+eWXFRsbq4CAAN1xxx0qKCg4Z202m01RUVHatGlTqddq1qxZvg2spHIH4JKNa9SokbZv367atWtXWVEAAACoGi1atNC+ffucPhXaZ599pkGDBqlXr16SzowJPnjw4HnrSE9Pl4+PT7WPIqjwGOADBw5URR0AAACoBs8884y6du2qmJgY9enTR15eXvruu++0a9cuvfDCC5Veb2xsrJYtW6Zu3brJYrHo6aeftnegnkvHjh3Vpk0b9ezZU5MmTdKVV16po0ePauXKlerZs6datWpV6VoupFJzamzevFndunVTbGys4uLi1L17d3322WfOrg0AAMC9GTbJVg0Po+wgWVEJCQlasWKF1q1bp+uuu07XX3+9pk6detHT2U6bNk1hYWFq27atunXrpoSEBLVo0aLM9haLRStXrtRNN92kwYMH64orrtBdd92lgwcP2sccV5UK9wAvWrRI9957r3r37q0RI0bIMAxt3bpVHTp00Pz589WvX7+qqBMAJJ2ZNicvL8/VZZTp7Nrcuc4SVqvVPo4PQPlZLBaFhtWSvn672j4zNKxWhX5fJ06cqLi4uHO+lpCQYJ/N4Vz+esONhg0blloWHx/vsKxhw4b69NNPHdoMHz7c4flfh0QEBwfrlVde0SuvvFJmLVWhwgH4xRdf1OTJk/Xoo4/al40cOVJTp07V888/TwAGUKXy8vJ06623urqMcikZB+fOVq1apYCAAFeXAXgcb29vLXt/aYXvzHYxLBZLuW+DjPOrcAD+5Zdf1K1bt1LLu3fvrv/7v/9zSlFm4O69WJJn9WTRiwUAqG6EUc9V4QAcExOjDRs2lLpycMOGDYqJiXFaYZc6T+rFkty/J4teLHPKufZfMrwq/GesahmGZPvv7US9fCQ3PDCz2IpUY+c7ri4DAFym3HuOwYMHa8aMGRo9erRGjBihnTt3qm3btrJYLNqyZYvmz5+vGTNmVGWtAODA8PKRvH0v3LDa+bm6gPOqvhO2AOCeyh2AFyxYoIkTJ+qhhx5SZGSkpkyZovfee0+S1KRJEy1ZskQ9evSoskIvZW7ZiyW5fU8WvVgAAKAyyp26zh7k3atXL7c/Je5J3LcXS3Lnnix6sQAAQGVUqNuRi4wAAPBM7n7xtTtfeJ2fny/DMGSz2ew3drBYLOQiD1ahAHzFFVdc8B/7xIkTF1UQAABwPk+6+NrdzjLXrVtXDz30kCwWi7y8ztxDLC4ujgDswSoUgMePH6/Q0NCqqgUAAMAjnO8Wv652dm3uXKfkup70CgXgu+66S3Xr1q2qWgAAQDVwy4uv3fjC66AQfxl+NVTsHyqvwpOSpP3798tms1X7jTBKeqDLa//+/U757CNHjqhjx45KSUlRkyZNnLJOyXU96eX+3083P9yZu40XO5s7j2s7F24qAlz63Pfiaze98NrLR7LozOO/bDab/u/xx5SZnVNtZYSF1FDypJfKHYKfeOIJLV++XHfeeafGjx/v8Nr48eP1zjvvqGfPnpo4cWJVlOvWKjULBOBu3G28WFk8oU5uKgIAF2YYhjKzc/RG++PyroY+g2JDun+zFBNYKB+fC9+BzpBUw9dQvehIrV61UnNeeEwBAVZJUl5evlat/EQxl0Wphq+hBjWKLlxAULEkKSqwuHztL1DboRzXnoEodz+6zWZj+AMAAMBZvC2Sj1fVP0pCtsVSvofXf9v/vXlTxVwWqQ9Xr7e/9uHq9aoXHaFrmzWxr3Pdpi36Z68BimzaRpc1u0G9Bw7TL78esr+npPfbclYNP/y0Xz3veUi1r7hODa69SYNHPKHjmZkXrq/a/5VKc7MBQMDFmdXuhPy93etshWFIBf+9BsHPy62GtdnlF1v08JZari4DAFAF7unbS28vWa5/9e4qSVrwbooG3tlb/9m23d7m1OlcjXzgHjW76gqdOp2r516epTvvG6mv1n5wziEXab//oU63D9K9/W7X5GcfU25evp58car6Dx2tNUvfqrZtqywCMC4p/t6G/C98ZqjaWV1dwAW510EDqo87j0tn/DzgHP3u6KanJ07XwcO/yWKxaNuOb7RwzksOAbjXbZ0c3vPqlOcUc81N2vvjfl19VVypdb7+9hJd27yJnh+XaF/22pTnFXtdR/20/6DiLm9YVZvjFARgADAxTxiXLnlGnYyfh7uqXStMt3a4SYuWfijDMHTrP29S7VphDm32Hzyk8S/N0ldff6fjJzLt06cd/i3tnAH4m+/2aPPWrxQed12p13759TABGAAAAK418M5eSnwqWZI048UnS71++6CHVS86UrMnJyk6so5sNkMt/tlTBYWF51yfzTB0W6d4vfh/o0q9FhlR27nFVwECMACA8fOVxPh5eIrON7dT4X/DbKf4GxxeO37iT/3w0y+aNelZtWvdUpL0+Vdfn3d91zZrouUr16tBTLR8fDwvTnpexQAAp2P8fGW510EDUBZvb2/t3PSR/eezhdUMUXhYTc1dtFRRdevo0G9penrCtPOu78FB/9K8xR/onmFj9ehD9yq8Vk3tP3hISz9cpTkvjS/1Ge6mYrcTAQAAgF2xIRXZqv5R7IRjrZDgGgoJrlFquZeXl96e/ZK+2fW9WnToqbFJk5T81Ojzris6sq42Ll+oYluxuvUfqpb/7KUxz0xUaHBwhe9W5wr0AAMAAFSQxWJR7dAg3b+5+j6zdmiQLF7lHwv05vQXz/v60rdesf/c4aY29h7iEnm/7bb/3DDmMofnkhTbuIGWvDmj3PW4EwIwAABABXl5eWnBrIlnBqtXE4uXRd4e0LvqCQjAAAAAleDt5eWWF2fiwjiMAAAAgKkQgAEAAGAqHhWAJ0yYIIvFosTERPsywzCUlJSk6OhoBQQEKD4+Xnv27HF4X35+vh555BHVrl1bQUFB6t69u44cOVLN1QMAAE9ks//EtHfuwHDCuGuPCcDbt2/X66+/rmuuucZh+eTJkzV16lTNmjVL27dvV2RkpDp16qSTJ0/a2yQmJiolJUXvvvuutmzZopycHHXt2lXFxcXVvRkAAMDD5BYUq8hmyCA3uIXTp09Lknx9fSu9Do+4CC4nJ0f9+/fXG2+8oRdeeMG+3DAMTZ8+XU8++aR69+4tSVqwYIEiIiK0ePFiDR06VFlZWZo7d64WLlyojh07SpIWLVqkmJgYrV+/XgkJCS7ZJgAA4Bly8ov1Q/pJhQYFyNvfW5b/XvmWX2TjIrhKMAzJZjvTr56Xl1fueYMNw9Dp06eVkZGhmjVrXtTNNjwiAA8fPly33XabOnbs6BCADxw4oPT0dHXu3Nm+zN/fX+3bt9fWrVs1dOhQpaamqrCw0KFNdHS0mjVrpq1bt5YZgPPz85Wfn29/np2dXQVbBgAA3J0h6cPvfle9UH+F+RTalxdabSL/Vpwh6XjemdBrGIb9gKK8atasqcjIyIuqwe0D8LvvvqvU1FTt2LGj1Gvp6emSpIiICIflERER+vXXX+1t/Pz8FBYWVqpNyfvPZcKECRo/fvzFlg8AAC4Bf+YWaeKaHxVz4BN7z+Nz1/0pP48ZTOo+CmzSnO01JUmvv/66rNby3/Tc19fXKbdZdusAfPjwYY0cOVJr164975fz1yOH8hxNXKjNuHHjNGrUKPvz7OxsxcTElLNyAABwqSm2GTp+/Lj9uXfOcflcfBYzneJiKSOjQNKZM/cVCcDO4tbHLampqcrIyFDLli3l4+MjHx8fbd68Wa+88op8fHzsPb9/7cnNyMiwvxYZGamCggJlZmaW2eZc/P39FRIS4vAAAACA53PrANyhQwft2rVLO3futD9atWql/v37a+fOnWrcuLEiIyO1bt06+3sKCgq0efNmtW3bVpLUsmVL+fr6OrRJS0vT7t277W0AAABgHm49BCI4OFjNmjVzWBYUFKTw8HD78sTERCUnJysuLk5xcXFKTk5WYGCg+vXrJ0kKDQ3VkCFDNHr0aIWHh6tWrVoaM2aMmjdvbp8VAgAAAObh1gG4PMaOHavc3FwNGzZMmZmZat26tdauXavg4GB7m2nTpsnHx0d9+/ZVbm6uOnTooPnz5ztlEDUAAAA8i8cF4E2bNjk8t1gsSkpKUlJSUpnvsVqtmjlzpmbOnFm1xQEAAMDtufUYYAAAAMDZPK4HGADcmWEYKs7NUXFhnrx9rfIOqFHhSd4BAFWLAAwATlCUd0on9nyuzF0bderYUfvyoNrRCmt+s2pdfYN8rEEurBAAUIIADAAXKfvALv36yWzZigp0e+/euuOOOxQWFqbMzEy9//77+mDZEv2+LUUNbhumkEbNXV0u4JY4e4LqRAAGgIuQfWCXflk+TQkJCXpr7txS96fv06eP0tPTNXjIEK1ZPk2Nez5KCAbOwtkTuAIBGGXiaBw4v6K8U/r1k9lKSEjQRx9+KB+fc/9JjYyM1EcffqjuPXpo/Sez1eS+l9mhA+LsCVyHAIxSOBoHyufEns9lKyrQW3Pnlhl+S/j4+Gjum28qpn59nfj+c9Vt0bmaqgTcE2dP4EpMgwYH2Qd2ae+bY5T22RLd9s92eu+997Ru3Tq99957uu2f7ZT22RLtfXOMsg/scnWpHsMwDJ04VaTDmQU6capIhmG4uiQ4gWEYyty1Ubf37l1qx12WqKgo9e7VS5nfbeT/AUztr2dPyvodKjl7kpCQoF8/ma2ivFPVXKlnYr9zYfQAw46jcefKyi3WBzsztejrbO3POG1ffnndQN3dIkS3Xxum0ADuRuipinNzdOrYUd1xxx0Vet8dd9yhpUuXqjjvlHwCalRRdYB74+xJ1WC/U370AEMSR+POtvnnk7ph+s96cf0fahV/m0NPeqv42/Ti+j90w/Sftfnnk64uFZVUXJgnSQoLC6vQ+0raFxfkOr0mwBNw9qRqsN+pGHqAIYmjcWfa/PNJDV58WAkJCXpz7ltl9qTfN2SwBi9eo7f6xah9bLCLqkVleftaJUmZmZkVel9Je2+/AKfXBHgCzp44H/udiqMHGByNO1FWbrGGLz2qhIQELf/wo/P2pC//8CMlJCRo+NKjysotruZKcbG8A2ooqHa03n///Qq97/3331dQ7Wh5cyEpTIqzJ87FfqdyCMC4qKPxU8eOqphhEHYf7MxUbpFNb859q1w96W+8OVe5RTYt+/bP6ikQTmOxWBTW/GZ9sGyZ0tPTy/WetLQ0LUtJUdg1NzOlIEyLsyfOxX6ncgjA4GjcSQzD0KKvs3V779sr3JO+MDWLnnQPVOvqG+Tl46fBQ4aoqKjovG2Lioo05L775OXjp1pNb6imCj0bV7Jfmjh74jzsdyqPAAyOxp0k83Sx9mec1u0V7Em//Y4+2p9xWn+a/HSUJ/KxBqnBbcO0Zs0ade/RQ2lpaedsl5aWpu49emjNmjVq0HUY82hfQFZusd7adkwdZh/Q3yf/oHbTf9TfJ/+gDrMP6K1tx0x/6tbTcfbEedjvVB4BGByNO8mpApukyvek5+TbnF4Tql5Io+Zq3PNRrf90k2Lq11ffvn0drr7u27evYurX1/pPN6lxr0cV0pCpA8+HK9nNgbMnzsF+p/KYBQJnHY0vUXp6erlOo5QcjUfddCdH4/8V5HfmeLKyPek1/Dke9VQhjZqryX0v68T3n2vlxo1aunSp/bWg2tGKuulOhV/dTt7+gS6s0v1xJbt52M+eLJ+m7j16aO6bbyoqKqpUu7S0NA257z6tWbNGjXs9ytmTv2C/U3kEYEg6czT++7YUDR4yRB99+OF5B9JzNH5uYYHeurxuoD54f6n69OlT7vd98P5SXV43UDWZnNyj+ViDVLdFZ9X5eycV551ScUGuvP0C5G0N4iCxHP56JXtZf4NKrmTv2aO7hi9dr88TY5nY30PZz558Mlsx9eurd69euuOOOxQWFqbMzEy9//77WpaSIi8fP86elIH9TuURgCGJo3FnsFgsurtFiF7877i2ivSkP9WpLiGpnBwu2igudF0hZbBI8vHzl4+f/5kFtvOf3nUJN/zeKnMle/36MVr27Z+69/rwaqoSzsbZk4vDfqfyCMCw42j84t1+bZimbjqu+4YMPm8vlnSmJ/2++4YowMdLvf9Ws/qK9HD5+fn2n4O/fdeFlcBZLupK9s0rNah1LVPvyD0dZ08uDvudyjHv4A+cU8nReNRNd2rlxs915513qnPnzrrzzjPPo266U03vn0L4LUNogLf+X59orVmzRj17dD/vrAA9e3TX2jVrNLtPNKdwYWpcyQ7pTG+mT0AN+YfWkU9ADcJvObHfqRx6gFEKR+MXp31ssN7qF6PhS9erfv0Y9e7VS7ff0cfek/7B+0u1LCVFAT5emtcvRjdxEU+F+Pv7238++be7JG9fF1bjoYoL3ar33BlXsodxhhwmxn6n4gjAKFPJ0Tj3XK+49rHB+jwxVsu+/VMLN6/Ue0v/N8Xc5XUD9VSnurr92poKsZr7CLwyHA7CvH0JwJcArmQHLh77nYohAANVJDTAW/deH65BrWvpz9xi5eTbVMPfSzUDvOlJB87ClezVw90vIPUIbv69sd8pPwIwUMUsFovCAn04RQuUgSvZqwcXkJoH+50L47wRAMDlbr82TAE+XrpvyOBy3RmMK9kBXAx6gAEALldyJfvgxWeuZH/jzbllzkV+/31DtHbNGs3rF2P6K9krggtIncDNLiBF5RGAAQBugSvZqxYXkAL/QwAGALgNrmQHUB0IwAAAt8KV7ACqGgEYAOCWuJIdQFUhAAMAAFRCPnfhrpSzvzeH+amrEQEYlxT+GFWOO/wxAgBP8/CWcFeX4PHy8/MVGFj9p3kIwLik8Mfo4rnqjxEAANWFAAwAAFAJs9odlz8TklRYfvH/OqzOnp+6OhGAcUnhj1HluMMfIwDwNP7eYp9zkVw1swsB2EUcxlkWF7quEE92ju+NP0YXj2mmAACXOgKwi+Tn59t/5raKAAAA1cfL1QUAAAAA1YkeYBc5e5zlyb/dxT3ZK6O4kN5zAABQYQRgF3EYZ+ntSwAGAACoJgyBAAAAgKkQgAEAAGAqbh2AJ0yYoOuuu07BwcGqW7euevbsqX379jm0MQxDSUlJio6OVkBAgOLj47Vnzx6HNvn5+XrkkUdUu3ZtBQUFqXv37jpy5Eh1bgoAAADchFsH4M2bN2v48OH64osvtG7dOhUVFalz5846deqUvc3kyZM1depUzZo1S9u3b1dkZKQ6deqkkydP2tskJiYqJSVF7777rrZs2aKcnBx17dpVxcXFrtgsAHA7+cU8Kvso4TC/OwC35tYXwa1evdrh+bx581S3bl2lpqbqpptukmEYmj59up588kn17t1bkrRgwQJFRERo8eLFGjp0qLKysjR37lwtXLhQHTt2lCQtWrRIMTExWr9+vRISEqp9uwDA3ZTcCRCVl5+fr8DAQFeXAaAc3LoH+K+ysrIkSbVq1ZIkHThwQOnp6ercubO9jb+/v9q3b6+tW7dKklJTU1VYWOjQJjo6Ws2aNbO3OZf8/HxlZ2c7PAAAAOD53LoH+GyGYWjUqFFq166dmjVrJklKT0+XJEVERDi0jYiI0K+//mpv4+fnp7CwsFJtSt5/LhMmTND48eOduQkA4LZmtTvObcQrIb/4f73nZ8/vDsC9eUwAfvjhh/Xdd99py5YtpV5zmFNXZ8LyX5f91YXajBs3TqNGjbI/z87OVkxMTAWrBgDP4O8tAvBFutB+B4D78IghEI888og++ugjbdy4UfXq1bMvj4yMlKRSPbkZGRn2XuHIyEgVFBQoMzOzzDbn4u/vr5CQEIcHAAAAPJ9bB2DDMPTwww9r2bJl+vTTT9WoUSOH1xs1aqTIyEitW7fOvqygoECbN29W27ZtJUktW7aUr6+vQ5u0tDTt3r3b3gYAAADm4dZDIIYPH67Fixfrww8/VHBwsL2nNzQ0VAEBAbJYLEpMTFRycrLi4uIUFxen5ORkBQYGql+/fva2Q4YM0ejRoxUeHq5atWppzJgxat68uX1WCAAAAJiHWwfgOXPmSJLi4+Mdls+bN0+DBg2SJI0dO1a5ubkaNmyYMjMz1bp1a61du1bBwcH29tOmTZOPj4/69u2r3NxcdejQQfPnz5e3NwPeAAAAzMatA3B5JhW3WCxKSkpSUlJSmW2sVqtmzpypmTNnOrE6AAAAeCK3HgMMAAAAOBsBGAAAAKZCAAYAAICpEIABAABgKm59ERwAAHA+i61IF77MvJoZhmQrOvOzl4/khnfWs5TUB49HAAbgsdiJVw47cdTY+Y6rSwBcigAMwGOxEwcAVAYBGAAAE7BarVq1apWryyhTXl6eevXqJUlKSUmR1Wp1cUXndnad8FwEYFxS8ostkpudFDcMqcB25mc/L7c8I/7f780zsBN3Hnbk5mKxWBQQEODqMsrFarV6TK3wTARgXFIe3lLL1SWgirETBwBcLKZBAwAAgKnQA4xLgjufavakU+KS3L4+AAAuFgEYlwRPOdXsKXUCAHApYwgEAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFS6CAwBwE5lK8qSbyAD4HwIwAICbyACV4I4HjpL7Hzy6w4EjAdgNWGxFbvjrozO/QbaiMz97+bjdb5ClpDYAAFyAA0fPRQB2AzV2vuPqEgCYkNVq1apVq1xdRpm4iQyAqkIABgCTslgsHnNjFm4iA3fh7geOkmcdPLqqNgKwi/AL5FzuXBsA4NLhSQeOEgePZSEAuwi/QAAAAK7BPMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATIUADAAAAFMhAAMAAMBUCMAAAAAwFQIwAAAATMXH1QUAgCsZhqG8vDynre/sdTlzvSWsVqssFovT1wsAZkIABmBqeXl5uvXWW6tk3b169XL6OletWqWAgACnrxcAzIQhEAAAADAVeoCBv+CUuLlYrVatWrXKaeszDEP5+fmSJH9/f6f/21itVqeuDwDMiAB8CfGk4ObOoY1T4uZisVic/v0FBgY6dX2egr9B5sK/NzyZqQLw7Nmz9dJLLyktLU1XX321pk+frhtvvNHVZTmNJwU3Qhtw6eFvkLnw7+08HExUP9ME4CVLligxMVGzZ8/WDTfcoNdee0233nqrvv/+e9WvX9/V5cGNcEocAFCdOJiofhbDMAxXF1EdWrdurRYtWmjOnDn2ZU2aNFHPnj01YcKEC74/OztboaGhysrKUkhISFWWWmnOPoKsyuB2qRxBAvgf/gaZC//ezpObm1tlAdjZ3D0AlzevmaIHuKCgQKmpqXriiScclnfu3Flbt251UVXOx1hGAK7E3yBz4d/beTzpzOOlctbRFAH42LFjKi4uVkREhMPyiIgIpaenn/M9+fn59v880pkjCgAAAGfjYKL6mWoe4L8eARmGUeZR0YQJExQaGmp/xMTEVEeJAAAAqGKmCMC1a9eWt7d3qd7ejIyMUr3CJcaNG6esrCz74/Dhw9VRKgAAAKqYKQKwn5+fWrZsqXXr1jksX7dundq2bXvO9/j7+yskJMThAQAAAM9nijHAkjRq1CgNGDBArVq1Ups2bfT666/r0KFDevDBB11dGgAAAKqRaQLwnXfeqePHj+u5555TWlqamjVrppUrV6pBgwauLg0AAADVyDTzAF8sT5gHGAAAwMzKm9dMMQYYAAAAKEEABgAAgKkQgAEAAGAqBGAAAACYimlmgbhYJdcKcktkAAAA91SS0y40xwMBuJxOnjwpSdwSGQAAwM2dPHlSoaGhZb7ONGjlZLPZdPToUQUHB8tisbi6HJwlOztbMTExOnz4MFPUARXA7w5QcfzeuDfDMHTy5ElFR0fLy6vskb70AJeTl5eX6tWr5+oycB7cshqoHH53gIrj98Z9na/ntwQXwQEAAMBUCMAAAAAwFQIwPJ6/v7+effZZ+fv7u7oUwKPwuwNUHL83lwYuggMAAICp0AMMAAAAUyEAAwAAwFQIwAAAADAVAjA8gsVi0fLlyyVJBw8elMVi0c6dO11a0/kMGjRIPXv2dHUZQIV52u8a4K42bdoki8WiP//809Wl4BwIwKiU9PR0PfLII2rcuLH8/f0VExOjbt26acOGDVX+2TExMUpLS1OzZs0k8UcGl7ZBgwbJYrGUetxyyy2uLu2c4uPjlZiY6OoygHJx5b4MrsWd4FBhBw8e1A033KCaNWtq8uTJuuaaa1RYWKg1a9Zo+PDh+uGHH875vsLCQvn6+l7053t7eysyMvKi1+MMztom4HxuueUWzZs3z2EZUzABF6ey+zJcGugBRoUNGzZMFotFX331le644w5dccUVuvrqqzVq1Ch98cUX9nYWi0WvvvqqevTooaCgIL3wwguSpI8//lgtW7aU1WpV48aNNX78eBUVFdnf99NPP+mmm26S1WpV06ZNtW7dOofPP/u07MGDB3XzzTdLksLCwmSxWDRo0KAya//888/Vvn17BQYGKiwsTAkJCcrMzJQkrV69Wu3atVPNmjUVHh6url27av/+/aU+97333lN8fLysVqsWLVqk4uJijRo1yv6+sWPHitkF4Uz+/v6KjIx0eISFhWn06NHq1q2bvd306dNlsVj0ySef2JddeeWVeu211yRJ27dvV6dOnVS7dm2Fhoaqffv2+vrrrytUy/fff68uXbqoRo0aioiI0IABA3Ts2DFJZ3qrN2/erBkzZth7qg8ePHjxXwBQBcqzL5s6daqaN2+uoKAgxcTEaNiwYcrJybGv49dff1W3bt0UFhamoKAgXX311Vq5cqXD56SmpqpVq1YKDAxU27ZttW/fvmrdTpwbARgVcuLECa1evVrDhw9XUFBQqddr1qzp8PzZZ59Vjx49tGvXLg0ePFhr1qzR3XffrREjRuj777/Xa6+9pvnz5+vFF1+UJNlsNvXu3Vve3t764osv9Oqrr+rxxx8vs56YmBh98MEHkqR9+/YpLS1NM2bMOGfbnTt3qkOHDrr66qu1bds2bdmyRd26dVNxcbEk6dSpUxo1apS2b9+uDRs2yMvLS7169ZLNZnNYz+OPP64RI0Zo7969SkhI0JQpU/TWW29p7ty52rJli06cOKGUlJRyf6dAZcXHx+uzzz6z/x/dvHmzateurc2bN0s6c3r3xx9/VPv27SVJJ0+e1MCBA/XZZ5/piy++UFxcnLp06aKTJ0+W6/PS0tLUvn17XXvttdqxY4dWr16t33//XX379pUkzZgxQ23atNH999+vtLQ0paWlKSYmpgq2HLg45d2XeXl56ZVXXtHu3bu1YMECffrppxo7dqy93fDhw5Wfn6///Oc/2rVrlyZNmqQaNWo4rOvJJ5/UlClTtGPHDvn4+Gjw4MFVum0oJwOogC+//NKQZCxbtuyCbSUZiYmJDstuvPFGIzk52WHZwoULjaioKMMwDGPNmjWGt7e3cfjwYfvrq1atMiQZKSkphmEYxoEDBwxJxjfffGMYhmFs3LjRkGRkZmaet55//etfxg033HDBuktkZGQYkoxdu3Y5fO706dMd2kVFRRkTJ060Py8sLDTq1atn9OjRo9yfBZRl4MCBhre3txEUFOTweO6554w///zT8PLyMnbs2GHYbDYjPDzcmDBhgnHdddcZhmEYixcvNiIiIspcd1FRkREcHGx8/PHH9mXn+117+umnjc6dOzus4/Dhw4YkY9++fYZhGEb79u2NkSNHOu8LAKpARfZlZ3vvvfeM8PBw+/PmzZsbSUlJ52xbsm9av369fdknn3xiSDJyc3MrVzichjHAqBDjv6f2LRZLudq3atXK4Xlqaqq2b99u7/GVpOLiYuXl5en06dPau3ev6tevr3r16tlfb9OmjRMqP9MD3KdPnzJf379/v55++ml98cUXOnbsmL1X7dChQ/YL7v66TVlZWUpLS3Oo0cfHR61atWIYBJzm5ptv1pw5cxyW1apVS6Ghobr22mu1adMm+fr6ysvLS0OHDtWzzz6rkydPatOmTfbeX0nKyMjQM888o08//VS///67iouLdfr0aR06dKhcdaSmpmrjxo2lerikM78/V1xxxcVtKFBNyrsv27hxo5KTk/X9998rOztbRUVFysvL06lTpxQUFKQRI0booYce0tq1a9WxY0fdfvvtuuaaaxzWcfbzqKgoSWd+F+vXr+/krUJFEIBRIXFxcbJYLNq7d2+5pvn666klm82m8ePHq3fv3qXaWq3Wc4bG8obtCwkICDjv6926dVNMTIzeeOMNRUdHy2azqVmzZiooKHBod67TZUBVCgoKUmxs7Dlfi4+P16ZNm+Tn56f27dsrLCxMV199tT7//HNt2rTJYUaGQYMG6Y8//tD06dPVoEED+fv7q02bNqX+j5fFZrOpW7dumjRpUqnXSnbsgCcoz77s119/VZcuXfTggw/q+eefV61atbRlyxYNGTJEhYWFkqT77rtPCQkJ+uSTT7R27VpNmDBBU6ZM0SOPPGJfz9kXSpfsz/46tA7VjzHAqJBatWopISFB/+///T+dOnWq1OsXmoqsRYsW2rdvn2JjY0s9vLy81LRpUx06dEhHjx61v2fbtm3nXaefn58k2cfyluWaa64pc2qb48ePa+/evXrqqafUoUMHNWnSxH5x3PmEhoYqKirK4eK/oqIipaamXvC9gDOUjAP+9NNPFR8fL0lq37693n33XYfxv5L02WefacSIEerSpYuuvvpq+fv72y9gK48WLVpoz549atiwYanf35IDQz8/vwv+LgKuVp592Y4dO1RUVKQpU6bo+uuv1xVXXOGwbyoRExOjBx98UMuWLdPo0aP1xhtvVMcm4CIRgFFhs2fPVnFxsf7xj3/ogw8+0E8//aS9e/fqlVdeueBwhWeeeUZvv/22kpKStGfPHu3du1dLlizRU089JUnq2LGjrrzySt1zzz369ttv9dlnn+nJJ5887zobNGggi8WiFStW6I8//nC4Qvds48aN0/bt2zVs2DB99913+uGHHzRnzhwdO3ZMYWFhCg8P1+uvv66ff/5Zn376qUaNGlWu72PkyJGaOHGiUlJS9MMPP2jYsGHMSQynys/PV3p6usOjJLjedNNNOnnypD7++GN7AI6Pj9eiRYtUp04dNW3a1L6e2NhYLVy4UHv37tWXX36p/v37X/DMyNmGDx+uEydO6F//+pe++uor/fLLL1q7dq0GDx5sD70NGzbUl19+qYMHDzoMJQLczYX2ZZdffrmKioo0c+ZM/fLLL1q4cKFeffVVh3UkJiZqzZo1OnDggL7++mt9+umnatKkiYu2CBXi2iHI8FRHjx41hg8fbjRo0MDw8/MzLrvsMqN79+7Gxo0b7W101sU0Z1u9erXRtm1bIyAgwAgJCTH+8Y9/GK+//rr99X379hnt2rUz/Pz8jCuuuMJYvXr1eS/MMQzDeO6554zIyEjDYrEYAwcOLLPuTZs2GW3btjX8/f2NmjVrGgkJCfaL59atW2c0adLE8Pf3N6655hpj06ZNF/xcwzhz0dvIkSONkJAQo2bNmsaoUaOMe+65h4vg4BQDBw40JJV6XHnllfY2LVu2NOrUqWPYbDbDMAzj+PHjhsViMe644w6HdX399ddGq1atDH9/fyMuLs5YunSp0aBBA2PatGn2Nhf6P//jjz8avXr1MmrWrGkEBAQYV111lZGYmGj/7H379hnXX3+9ERAQYEgyDhw4UCXfC+AMF9qXTZ061YiKijICAgKMhIQE4+2333a46Prhhx82Lr/8csPf39+oU6eOMWDAAOPYsWOGYZz7Au1vvvmG3ws3YTEMrtQBAACAeTAEAgAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGAAAAKZCAAYAAICpEIABAABgKgRgAAAAmAoBGADcxKBBg2SxWGSxWOTr66vGjRtrzJgxOnXqlKtLuyibNm2SxWLhFuEA3IaPqwsAAPzPLbfconnz5qmwsFCfffaZ7rvvPp06dUpz5sxxdWkAcMmgBxgA3Ii/v78iIyMVExOjfv36qX///lq+fLkWLVqkVq1aKTg4WJGRkerXr58yMjIkSYZhKDY2Vi+//LLDunbv3i0vLy/t379fkmSxWPTaa6+pa9euCgwMVJMmTbRt2zb9/PPPio+PV1BQkNq0aWNvX+Ljjz9Wy5YtZbVa1bhxY40fP15FRUX21y0Wi95880316tVLgYGBiouL00cffSRJOnjwoG6++WZJUlhYmCwWiwYNGlRVXx8AlAsBGADcWEBAgAoLC1VQUKDnn39e3377rZYvX64DBw7Yg6TFYtHgwYM1b948h/e+9dZbuvHGG3X55Zfblz3//PO65557tHPnTl111VXq16+fhg4dqnHjxmnHjh2SpIcfftjefs2aNbr77rs1YsQIff/993rttdc0f/58vfjiiw6fNX78ePXt21ffffedunTpov79++vEiROKiYnRBx98IEnat2+f0tLSNGPGjKr4qgCg/AwAgFsYOHCg0aNHD/vzL7/80ggPDzf69u1bqu1XX31lSDJOnjxpGIZhHD161PD29ja+/PJLwzAMo6CgwKhTp44xf/58+3skGU899ZT9+bZt2wxJxty5c+3L3nnnHcNqtdqf33jjjUZycrLDZy9cuNCIiooqc705OTmGxWIxVq1aZRiGYWzcuNGQZGRmZlbk6wCAKsMYYABwIytWrFCNGjVUVFSkwsJC9ejRQzNnztQ333yjpKQk7dy5UydOnJDNZpMkHTp0SE2bNlVUVJRuu+02vfXWW/rHP/6hFStWKC8vT3369HFY/zXXXGP/OSIiQpLUvHlzh2V5eXnKzs5WSEiIUlNTtX37doce3+LiYuXl5en06dMKDAwstd6goCAFBwfbh2gAgLshAAOAG7n55ps1Z84c+fr6Kjo6Wr6+vjp16pQ6d+6szp07a9GiRapTp44OHTqkhIQEFRQU2N973333acCAAZo2bZrmzZunO++80x5QS/j6+tp/tlgsZS4rCdg2m03jx49X7969S9VqtVrPud6S9ZSsAwDcDQEYANxIUFCQYmNjHZb98MMPOnbsmCZOnKiYmBhJso/XPVuXLl0UFBSkOXPmaNWqVfrPf/5z0fW0aNFC+/btK1VTRfj5+Uk603MMAO6AAAwAbq5+/fry8/PTzJkz9eCDD2r37t16/vnnS7Xz9vbWoEGDNG7cOMXGxqpNmzYX/dnPPPOMunbtqpiYGPXp00deXl767rvvtGvXLr3wwgvlWkeDBg1ksVi0YsUKdenSRQEBAapRo8ZF1wYAlcUsEADg5urUqaP58+dr6dKlatq0qSZOnFhqyrMSQ4YMUUFBgQYPHuyUz05ISNCKFSu0bt06XXfddbr++us1depUNWjQoNzruOyyyzR+/Hg98cQTioiIcJhlAgBcwWIYhuHqIgAAzvH5558rPj5eR44csV/kBgBwRAAGgEtAfn6+Dh8+rAceeEBRUVH697//7eqSAMBtMQQCAC4B77zzjq688kplZWVp8uTJri4HANwaPcAAAAAwFXqAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCoEYAAAAJgKARgAAACmQgAGAACAqRCAAQAAYCr/H1jmuSOBuQ4eAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "sns.boxplot(x='Payment', y ='Total', hue='Gender', data=mart, showmeans=True,\n",
    "            meanprops={\"marker\":\"o\", \"markerfacecolor\":\"white\",\n",
    "                       \"markersize\":\"10\", \"markeredgecolor\":\"black\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a88fded4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Payment', ylabel='Total'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "sns.boxplot(x='Payment', y ='Total', hue='Gender', data=mart, showmeans=True,\n",
    "            meanprops={\"marker\":\"o\", \"markerfacecolor\":\"white\",\n",
    "                       \"markersize\":\"10\", \"markeredgecolor\":\"black\"},\n",
    "           palette='BuPu_r', linewidth=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "033291a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Total', ylabel='Payment'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "sns.boxplot(y='Payment', x='Total', hue='Gender', data=mart, showmeans=True,\n",
    "            meanprops={\"marker\":\"o\", \"markerfacecolor\":\"white\",\n",
    "                       \"markersize\":\"10\", \"markeredgecolor\":\"black\"},\n",
    "           palette='BuPu_r', linewidth=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a21ffed6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.boxplot(data=mart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7450813e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
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