boilerplate-page-view-time-series-visualizer.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0c6fd61f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "60f2cd6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"fcc-forum-pageviews.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "db38277e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1304 entries, 0 to 1303\n",
      "Data columns (total 2 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   date    1304 non-null   object\n",
      " 1   value   1304 non-null   int64 \n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 20.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "366a04aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-05-09</td>\n",
       "      <td>1201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-05-10</td>\n",
       "      <td>2329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-05-11</td>\n",
       "      <td>1716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-05-12</td>\n",
       "      <td>10539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>6933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2016-05-14</td>\n",
       "      <td>3127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2016-05-15</td>\n",
       "      <td>2927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2016-05-16</td>\n",
       "      <td>2591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-05-17</td>\n",
       "      <td>3403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016-05-18</td>\n",
       "      <td>5410</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date  value\n",
       "0  2016-05-09   1201\n",
       "1  2016-05-10   2329\n",
       "2  2016-05-11   1716\n",
       "3  2016-05-12  10539\n",
       "4  2016-05-13   6933\n",
       "5  2016-05-14   3127\n",
       "6  2016-05-15   2927\n",
       "7  2016-05-16   2591\n",
       "8  2016-05-17   3403\n",
       "9  2016-05-18   5410"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e186a3e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = df.set_index(\"date\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cc61954f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-05-09</td>\n",
       "      <td>1201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-05-10</td>\n",
       "      <td>2329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-05-11</td>\n",
       "      <td>1716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-05-12</td>\n",
       "      <td>10539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-05-13</td>\n",
       "      <td>6933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>2019-11-29</td>\n",
       "      <td>171584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1300</th>\n",
       "      <td>2019-11-30</td>\n",
       "      <td>141161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1301</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>142918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1302</th>\n",
       "      <td>2019-12-02</td>\n",
       "      <td>220144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1303</th>\n",
       "      <td>2019-12-03</td>\n",
       "      <td>158549</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1304 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            date   value\n",
       "0     2016-05-09    1201\n",
       "1     2016-05-10    2329\n",
       "2     2016-05-11    1716\n",
       "3     2016-05-12   10539\n",
       "4     2016-05-13    6933\n",
       "...          ...     ...\n",
       "1299  2019-11-29  171584\n",
       "1300  2019-11-30  141161\n",
       "1301  2019-12-01  142918\n",
       "1302  2019-12-02  220144\n",
       "1303  2019-12-03  158549\n",
       "\n",
       "[1304 rows x 2 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3bd5a0fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1304, 2)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "1c140966",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"fcc-forum-pageviews.csv\",parse_dates=[\"date\"],index_col=\"date\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "89a13749",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-05-09</th>\n",
       "      <td>1201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-10</th>\n",
       "      <td>2329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-11</th>\n",
       "      <td>1716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-12</th>\n",
       "      <td>10539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-13</th>\n",
       "      <td>6933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-29</th>\n",
       "      <td>171584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-30</th>\n",
       "      <td>141161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-01</th>\n",
       "      <td>142918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-02</th>\n",
       "      <td>220144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-03</th>\n",
       "      <td>158549</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1304 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             value\n",
       "date              \n",
       "2016-05-09    1201\n",
       "2016-05-10    2329\n",
       "2016-05-11    1716\n",
       "2016-05-12   10539\n",
       "2016-05-13    6933\n",
       "...            ...\n",
       "2019-11-29  171584\n",
       "2019-11-30  141161\n",
       "2019-12-01  142918\n",
       "2019-12-02  220144\n",
       "2019-12-03  158549\n",
       "\n",
       "[1304 rows x 1 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "925ab66d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[\n",
    "    (df[\"value\"]>=df[\"value\"].quantile(0.025))&\n",
    "    (df[\"value\"]<=df[\"value\"].quantile(0.975))\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b5821019",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1238, 1)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "39e7104a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1fd5e3177f0>]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fig represent the plot\n",
    "# ax to edit \n",
    "fig , ax = plt.subplots(figsize=(10,5))\n",
    "ax.plot(df.index,df[\"value\"],\"r\",linewidth=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "bf296ec6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(4.444444444444452, 0.5, 'Page Views')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_title(\"Daily freeCodeCamp Forum Page Views 5/2016-12/2019\")\n",
    "ax.set_xlabel(\"Date\")\n",
    "ax.set_ylabel(\"Page Views\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "292edb12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "18299453",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\hp\\AppData\\Local\\Temp\\ipykernel_24960\\222480601.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"month\"] = df.index.month\n",
      "C:\\Users\\hp\\AppData\\Local\\Temp\\ipykernel_24960\\222480601.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[\"year\"] = df.index.year\n"
     ]
    }
   ],
   "source": [
    "df[\"month\"] = df.index.month\n",
    "df[\"year\"] = df.index.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5fc1ed8d",
   "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>value</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-05-19</th>\n",
       "      <td>19736</td>\n",
       "      <td>5</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-26</th>\n",
       "      <td>18060</td>\n",
       "      <td>5</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-27</th>\n",
       "      <td>19997</td>\n",
       "      <td>5</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-28</th>\n",
       "      <td>19044</td>\n",
       "      <td>5</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-29</th>\n",
       "      <td>20325</td>\n",
       "      <td>5</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-24</th>\n",
       "      <td>138875</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-29</th>\n",
       "      <td>171584</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-30</th>\n",
       "      <td>141161</td>\n",
       "      <td>11</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-01</th>\n",
       "      <td>142918</td>\n",
       "      <td>12</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-03</th>\n",
       "      <td>158549</td>\n",
       "      <td>12</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1238 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             value  month  year\n",
       "date                           \n",
       "2016-05-19   19736      5  2016\n",
       "2016-05-26   18060      5  2016\n",
       "2016-05-27   19997      5  2016\n",
       "2016-05-28   19044      5  2016\n",
       "2016-05-29   20325      5  2016\n",
       "...            ...    ...   ...\n",
       "2019-11-24  138875     11  2019\n",
       "2019-11-29  171584     11  2019\n",
       "2019-11-30  141161     11  2019\n",
       "2019-12-01  142918     12  2019\n",
       "2019-12-03  158549     12  2019\n",
       "\n",
       "[1238 rows x 3 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "0575ee06",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bar = df.groupby([\"year\",\"month\"])[\"value\"].mean()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "24a663da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year  month\n",
       "2016  5         19432.400000\n",
       "      6         21875.105263\n",
       "      7         24109.678571\n",
       "      8         31049.193548\n",
       "      9         41476.866667\n",
       "      10        27398.322581\n",
       "      11        40448.633333\n",
       "      12        27832.419355\n",
       "2017  1         32785.161290\n",
       "      2         31113.071429\n",
       "      3         29369.096774\n",
       "      4         30878.733333\n",
       "      5         34244.290323\n",
       "      6         43577.500000\n",
       "      7         65806.838710\n",
       "      8         47712.451613\n",
       "      9         47376.800000\n",
       "      10        47438.709677\n",
       "      11        57701.566667\n",
       "      12        48420.580645\n",
       "2018  1         58580.096774\n",
       "      2         65679.000000\n",
       "      3         62693.774194\n",
       "      4         62350.833333\n",
       "      5         56562.870968\n",
       "      6         70117.000000\n",
       "      7         63591.064516\n",
       "      8         62831.612903\n",
       "      9         65941.733333\n",
       "      10       111378.142857\n",
       "      11        78688.333333\n",
       "      12        80047.483871\n",
       "2019  1        102056.516129\n",
       "      2        105968.357143\n",
       "      3         91214.483871\n",
       "      4         89368.433333\n",
       "      5         91439.903226\n",
       "      6         90435.642857\n",
       "      7         97236.566667\n",
       "      8        102717.310345\n",
       "      9         97268.833333\n",
       "      10       122802.272727\n",
       "      11       143166.428571\n",
       "      12       150733.500000\n",
       "Name: value, dtype: float64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b38de69f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bar = df_bar.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "d0873dc7",
   "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",
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       "    }\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>month</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19432.400000</td>\n",
       "      <td>21875.105263</td>\n",
       "      <td>24109.678571</td>\n",
       "      <td>31049.193548</td>\n",
       "      <td>41476.866667</td>\n",
       "      <td>27398.322581</td>\n",
       "      <td>40448.633333</td>\n",
       "      <td>27832.419355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>32785.161290</td>\n",
       "      <td>31113.071429</td>\n",
       "      <td>29369.096774</td>\n",
       "      <td>30878.733333</td>\n",
       "      <td>34244.290323</td>\n",
       "      <td>43577.500000</td>\n",
       "      <td>65806.838710</td>\n",
       "      <td>47712.451613</td>\n",
       "      <td>47376.800000</td>\n",
       "      <td>47438.709677</td>\n",
       "      <td>57701.566667</td>\n",
       "      <td>48420.580645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>58580.096774</td>\n",
       "      <td>65679.000000</td>\n",
       "      <td>62693.774194</td>\n",
       "      <td>62350.833333</td>\n",
       "      <td>56562.870968</td>\n",
       "      <td>70117.000000</td>\n",
       "      <td>63591.064516</td>\n",
       "      <td>62831.612903</td>\n",
       "      <td>65941.733333</td>\n",
       "      <td>111378.142857</td>\n",
       "      <td>78688.333333</td>\n",
       "      <td>80047.483871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>102056.516129</td>\n",
       "      <td>105968.357143</td>\n",
       "      <td>91214.483871</td>\n",
       "      <td>89368.433333</td>\n",
       "      <td>91439.903226</td>\n",
       "      <td>90435.642857</td>\n",
       "      <td>97236.566667</td>\n",
       "      <td>102717.310345</td>\n",
       "      <td>97268.833333</td>\n",
       "      <td>122802.272727</td>\n",
       "      <td>143166.428571</td>\n",
       "      <td>150733.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "month             1              2             3             4             5   \\\n",
       "year                                                                            \n",
       "2016             NaN            NaN           NaN           NaN  19432.400000   \n",
       "2017    32785.161290   31113.071429  29369.096774  30878.733333  34244.290323   \n",
       "2018    58580.096774   65679.000000  62693.774194  62350.833333  56562.870968   \n",
       "2019   102056.516129  105968.357143  91214.483871  89368.433333  91439.903226   \n",
       "\n",
       "month            6             7              8             9              10  \\\n",
       "year                                                                            \n",
       "2016   21875.105263  24109.678571   31049.193548  41476.866667   27398.322581   \n",
       "2017   43577.500000  65806.838710   47712.451613  47376.800000   47438.709677   \n",
       "2018   70117.000000  63591.064516   62831.612903  65941.733333  111378.142857   \n",
       "2019   90435.642857  97236.566667  102717.310345  97268.833333  122802.272727   \n",
       "\n",
       "month             11             12  \n",
       "year                                 \n",
       "2016    40448.633333   27832.419355  \n",
       "2017    57701.566667   48420.580645  \n",
       "2018    78688.333333   80047.483871  \n",
       "2019   143166.428571  150733.500000  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "d08726fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([     0.,  20000.,  40000.,  60000.,  80000., 100000., 120000.,\n",
       "        140000., 160000.]),\n",
       " [Text(0, 0.0, '0'),\n",
       "  Text(0, 20000.0, '20000'),\n",
       "  Text(0, 40000.0, '40000'),\n",
       "  Text(0, 60000.0, '60000'),\n",
       "  Text(0, 80000.0, '80000'),\n",
       "  Text(0, 100000.0, '100000'),\n",
       "  Text(0, 120000.0, '120000'),\n",
       "  Text(0, 140000.0, '140000'),\n",
       "  Text(0, 160000.0, '160000')])"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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nTp36h2eN2zEYDFq/fr2jywAAAAAAFCNFbmZJv3791K9fP9N2eHi4xo4dq86dO0uSevXqpfnz52vZsmVKSUnRzp07tWjRIlPb4sWL9cQTTygjI0MJCQnavHmzqe3ZZ5/V8OHD5eLiori4OE2fPl2S1KNHD7Vs2VKTJ09W5cqVtWjRIvXp0+e2Nbq6uuZbS+XvCFke8o/HsNahQYdsPiYqKkrLly/XM888Y/qO/zR8+HAtXLhQgwYN0rJly+xUJQAAAAAAjufQmSUjRoxQjRo1dPr0abVr106BgYF3PWbcuHH6/fffFRgYqA4dOmj+/PkqX768JGngwIGqXbu2goOD1axZM40bN05169aV9EfoEhkZqZCQENWtW1f/7//9P0VEREiSatWqpalTp6pFixYKCAhQ5cqVNXjw4II78XuIj4+PVq9erd9//920LysrS/Hx8XecfWONnJycf1oeAAAAAAB259CwZP78+Tp9+rRu3rypc+fO6fjx4/n67NixwzSrRJLc3d2VkJCg48eP6+jRo+rZs6epzdnZWfPnz1dycrKSk5P17LPPWow1efJknThxQidOnNCMGTMs2p5++mkdP35cJ06c0Pvvv68SJUrY+WzvTU2bNpWvr6/WrVtn2rdu3Tr5+PioSZMmpn2bN29Wy5Yt5eXlpQoVKqhz585KTk42taempspgMGjNmjUKDw+Xm5ubVq5cKUmKi4tT/fr15erqqqpVq+b7uf3222/q3r27SpcuraCgIH3yyScFfNYAAAAAgOKsyK1ZgqLnqaee0tKlS03bcXFxio6Otuhz7do1vfDCC0pMTNTWrVvl5OSk7t27Ky8vz6LfhAkTNGrUKB05ckQdOnTQwoULNWLECA0dOlSHDh3SJ598km+G0dSpUxUZGamDBw+qY8eO6t+/vy5evFhwJwwAAAAAKNaK3JolKHoGDhyoiRMnmmaH7N27V6tXr9aOHTtMfXr06GFxzJIlS1S5cmUdPnxYDRo0MO0fPXq0nnjiCdP29OnTNWbMGD333HOmfc2aNbMYKyoqSn379pUkzZgxQ++884727dtnuo0KAAAAAAB7IizBXVWsWFGdOnXS8uXLZTQa1alTJ1WsWNGiT3JysiZNmqSvv/5av/32m2lGSVpamkVYEhoaanqfnp6uM2fOqG3btnf8/IYNG5reu7u7q2zZskpPT7fHqQEAAAAAkA9hCawSHR1tWktk/vz5+doff/xx+fj46L333lO1atWUl5enBg0a6MaNGxb93N3dTe9LlSpl1Wf/df0Yg8GQ7/YeAAAAAADshTVLYJWIiAjduHFDN27cUIcOHSzaLly4oCNHjujll19W27ZtVbduXV26dOmuY5YtW1Z+fn7aunVrQZUNAAAAAIDNmFkCqzg7O+vIkSOm9+bKlSunChUq6N1331XVqlWVlpammJgYq8aNjY3VsGHDVLlyZT322GO6cuWK9u7dq5EjR9r9HAAAAAAAsAZhCazm4eFxy/1OTk5avXq1Ro0apQYNGqh27dp6++23FR4eftcxBw0apKysLL355psaO3asKlasaPE4aAAAAAAACpvBaDQaHV3EvS4zM1Oenp7KyMjIFyhkZWUpJSVF/v7+cnNzc1CFcAR+9gAAAADswS/mU6v6pbr1s37Q2Iy/Wc297U5/v5tjzRIAAAAAAAAzhCUAAAAAAABmCEsAAAAAAADMEJYAAAAAAACYISwBAAAAAAAwQ1gCAAAAAABghrAEAAAAAADADGEJAAAAAACAGcISAAAAAAAAM4QlcIioqCh169bNtB0eHq7Ro0c7rB4AAAAAAP7k4ugCirMjdeoW2mfV/enI3z72yy+/VKtWrdS+fXtt3rzZLvW89dZbMhqNdhkLAAAAAAB7YmYJ7iouLk4jR47Unj17lJaW9o/Gys3NVV5enjw9PeXl5WWfAgEAAAAAsCPCEtzRtWvXtGbNGv3rX/9S586dtWzZMlPbjh07ZDAY9Omnn6pRo0Zyc3PTQw89pEOHDpn6LFu2TF5eXtq4caPq1asnV1dXnTx5Mt9tOAAAAAAAFBWEJbijhIQE1a5dW7Vr19aAAQO0dOnSfLfPjBs3TnPmzFFiYqIqV66sLl26KCcnx9R+/fp1zZw5U++//75+/PFHVa5cubBPAwAAAAAAqxGW4I6WLFmiAQMGSJIiIiJ09epVbd261aLPlClT1L59e4WEhGj58uX69ddf9fHHH5vac3JytGDBAj3yyCOqXbu23N3dC/UcAAAAAACwBWEJbuvnn3/Wvn371KdPH0mSi4uLevfurbi4OIt+zZs3N70vX768ateurSNH/m9B2ZIlS6phw4aFUzQAAAAAAP8QT8PBbS1ZskQ3b95U9erVTfuMRqNKlCihS5cu3fFYg8Fgel+qVCmLbQAAAAAAijJmluCWbt68qf/85z+aO3eukpKSTK/vv/9eNWvW1KpVq0x9v/76a9P7S5cu6ejRo6pTp44jygYAAAAA4B9jZgluaePGjbp06ZIGDx4sT09Pi7aePXtqyZIlevPNNyVJr7zyiipUqCBvb2+99NJLqlixIk+6AQAAAADcs5hZgltasmSJ2rVrly8okaQePXooKSlJBw4ckCTNmjVLzz33nB544AGdPXtWn3zyiUqWLFnYJQMAAAAAYBcG41+fAwubZWZmytPTUxkZGfLw8LBoy8rKUkpKivz9/eXm5uagCgvGjh071Lp1a126dEleXl6OLqfIuZ9/9gAAAAAKj1/Mp1b1S3XrZ/2gsRl/s5p7253+fjfHzBIAAAAAAAAzhCUAAAAAAABmWOAVf1t4eLi4iwsAAAAAcL9hZgkAAAAAAIAZwhIAAAAAAAAzhCUAAAAAAABmCEsAAAAAAADMEJYAAAAAAACYISwBAAAAAAAwQ1gCAAAAAABgxsXRBRRn84dtK7TPGrGojc3HREVFafny5XrmmWe0aNEii7bhw4dr4cKFGjRokJYtW2anKgEAAAAAcDxmluCOfHx8tHr1av3++++mfVlZWYqPj5evr68DKwMAAAAAoGAQluCOmjZtKl9fX61bt860b926dfLx8VGTJk1M+zZv3qyWLVvKy8tLFSpUUOfOnZWcnGxqb9OmjZ599lmLsS9cuCBXV1dt21Z4M2wAAAAAALgbwhLc1VNPPaWlS5eatuPi4hQdHW3R59q1a3rhhReUmJiorVu3ysnJSd27d1deXp4kaciQIfrggw+UnZ1tOmbVqlWqVq2aWrduXTgnAgAAAACAFQhLcFcDBw7Unj17lJqaqpMnT2rv3r0aMGCARZ8ePXroiSeeUFBQkBo3bqwlS5bo0KFDOnz4sKndYDBow4YNpmOWLl2qqKgoGQyGQj0fAAAAAADuhLAEd1WxYkV16tRJy5cv19KlS9WpUydVrFjRok9ycrL69eunWrVqycPDQ/7+/pKktLQ0SZKrq6sGDBiguLg4SVJSUpK+//57RUVFFeq5AAAAAABwNzwNB1aJjo42rTkyf/78fO2PP/64fHx89N5776latWrKy8tTgwYNdOPGDVOfIUOGqHHjxjp9+rTi4uLUtm1b1axZs9DOAQAAAACKiirbk6zu61ZwZeA2CEtglYiICFPw0aFDB4u2Cxcu6MiRI1q8eLFatWolSdqzZ0++MUJCQhQaGqr33ntPH3zwgd55552CLxwAAAAAABsRlsAqzs7OOnLkiOm9uXLlyqlChQp69913VbVqVaWlpSkmJuaW4wwZMkTPPvusSpcure7duxd43QAAAAAA2IqwxIFGLGrj6BJs4uHhccv9Tk5OWr16tUaNGqUGDRqodu3aevvttxUeHp6vb9++fTV69Gj169dPbm5MJgMAAAAAFD2EJbitZcuW3bF9/fr1pvft2rUzPfnmT0ajMd8xly5dUlZWlgYPHmyPEgEAAAAAsDuHPg1n1KhR8vPzk8Fg0A8//GDaHx0drdq1a6tx48YKCwtTUlKSqe369evq27evAgMDFRwcrHXr1pna8vLyNHLkSAUEBCgwMFALFiyw+Lzp06crICBAAQEBmjRpkkXbkiVLFBQUpICAAA0dOlQ3b94smJMupnJycpSWlqYJEybo4YcfVtOmTR1dEgAAAAAAt+TQsKRnz57as2dPvieidOvWTT/++KOSkpI0fvx4RUZGmtrmzJkjV1dXHT9+XFu2bNHw4cN16dIlSdLKlSt1+PBhHT16VPv27dPs2bP1008/SZJ27dql+Ph4HTx4UIcPH9amTZu0ZcsWSVJKSoomTZqkPXv26Pjx4zp37pyWLFlSSN9C8bB3717VrFlT+/fv16JFixxdDgAAAAAAt+XQsCQsLEw1atTIt79Lly5ycfnjDqGHH35YJ0+eVF5eniQpISFBI0aMkCT5+/srLCxMGzZsMLUNGzZMzs7OKl++vCIjI7V69WpTW1RUlNzd3eXq6qro6GjFx8dLkj766CN1795d3t7eMhgMGjZsmKntVrKzs5WZmWnxwp2Fh4fLaDTq559/VkhIiKPLAQAAAADgthwalljjrbfeUseOHeXk9EepaWlpFjNR/Pz8lJaWVmBttzJz5kx5enqaXj4+PnY4UwAAAAAAUBQU6bBk5cqVWrNmjRYvXmyx32AwmN7/dRHRgmj7q4kTJyojI8P0OnXq1F3OBAAAAAAA3CuKbFiSkJCgqVOn6osvvlDlypVN+319fZWammraPnnypHx9fQus7VZcXV3l4eFh8QIAAAAAAPeHIhmWrFmzRi+//LL+97//5QstevXqpfnz50v6Y2HWnTt3qkuXLqa2xYsXKzc3VxcvXlRCQoJ69+5talu+fLmuXbum7OxsxcXFqU+fPpKkHj166OOPP9avv/4qo9GoRYsWmdoAAAAAAEDx4tCwZMSIEapRo4ZOnz6tdu3aKTAwUJLUv39/ZWVlqWvXrmrcuLEaN26sCxcuSJLGjRun33//XYGBgerQoYPmz5+v8uXLS5IGDhyo2rVrKzg4WM2aNdO4ceNUt25dSX8sMBoZGamQkBDVrVtX/+///T9FRERIkmrVqqWpU6eqRYsWCggIUOXKlTV48GAHfCMAAAAAAMDRDMa7LdCBu8rMzJSnp6cyMjLy3ZKTlZWllJQU+fv7y83NzUEVwhH42QMAAAC4nSrbk6zu67blF6v6pbr1s76A2Azr+95H7vT3u7kieRsOAAAAAACAo7g4uoDibG7vzoX2WWMSNtp8TFRUlC5fvqz169fbvyAAAAAAAIooZpYAAAAAAACYISyBVfz8/DRv3jyLfY0bN1ZsbKxp22Aw6P3331f37t1VunRpBQUF6ZNPPrE45vDhw+rYsaPKlCkjb29vDRw4UL/99lshnAEAAAAAANYhLIFdTZ06VZGRkTp48KA6duyo/v376+LFi5Kks2fP6tFHH1Xjxo317bffavPmzfr1118VGRnp4KoBAAAAAPg/hCWwq6ioKPXt21eBgYGaMWOGrl27pn379kmSFi5cqKZNm2rGjBmqU6eOmjRpori4OG3fvl1Hjx51cOUAAAAAAPyBBV5hVw0bNjS9d3d3V9myZZWeni5J2r9/v7Zv364yZcrkOy45OVnBwcGFVicAAAAAALdDWAKrODk5yWg0WuzLycnJ169EiRIW2waDQXl5eZKkvLw8Pf7443rttdfyHVe1alU7VgsAAAAAwN9HWAKrVKpUSWfPnjVtZ2ZmKiUlxaYxmjZtqrVr18rPz08uLvzqAQAAAACKJtYsgVXatGmjFStWaPfu3frhhx80aNAgOTs72zTGiBEjdPHiRfXt21f79u3TiRMn9Pnnnys6Olq5ubkFVDkAAAAAALbhn/cdaEzCRkeXcEd5eXmmGSATJ07UiRMn1LlzZ3l6emratGk2zyypVq2a9u7dqwkTJqhDhw7Kzs5WzZo1FRERIScncjsAAAAAQNFAWILbSk9PV2BgoCTJw8NDCQkJFu2DBg2y2P7rmiaSdPnyZYvtoKAgrVu3zr6FAgAAAABgR/xzPvK5dOmSPv30U+3YsUPt2rVzdDkAAAAAABQqZpYgn+joaCUmJmrMmDHq2rWro8sBAAAAAKBQEZYgn48//tjRJQAAAAAA4DDchgMAAAAAAGCGsAQAAAAAAMAMYQkAAAAAAIAZwhIAAAAAAAAzLPAKAAAAFBFVtidZ3fdc68YFVgcAFHfMLAEAAAAAADBDWAK7MRgMWr9+vaPLAAAAAADgH+E2HAc6HbO70D6rxqxWNh8TFRWly5cvE4AAAAAAAIoVZpYAAAAAAACYISyBVfz8/DRv3jyLfY0bN1ZsbOwt+7dp00bPPvusxb4LFy7I1dVV27ZtK6AqAQAAAAD45whLUCCGDBmiDz74QNnZ2aZ9q1atUrVq1dS6dWsHVgYAAAAAwJ0RlqBA9OjRQwaDQRs2bDDtW7p0qaKiomQwGBxYGQAAAAAAd0ZYggLh6uqqAQMGKC4uTpKUlJSk77//XlFRUY4tDAAAAACAu+BpOLCKk5OTjEajxb6cnJw7HjNkyBA1btxYp0+fVlxcnNq2bauaNWsWZJkAAAAAAPxjzCyBVSpVqqSzZ8+atjMzM5WSknLHY0JCQhQaGqr33ntPH3zwgaKjowu6TAAAAAAA/jHCElilTZs2WrFihXbv3q0ffvhBgwYNkrOz812PGzJkiGbNmqXc3Fx17969ECoFAAAAAOCf4TYcB6oxq5WjS7ijvLw8ubj88SsyceJEnThxQp07d5anp6emTZt215klktS3b1+NHj1a/fr1k5ubW0GXDAAAAADAP0ZYgttKT09XYGCgJMnDw0MJCQkW7YMGDbLY/uuaJpJ06dIlZWVlafDgwQVXKAAAAAAAdsRtOMjn0qVL+vTTT7Vjxw61a9fub42Rk5OjtLQ0TZgwQQ8//LCaNm1q5yoBAAAAACgYzCxBPtHR0UpMTNSYMWPUtWvXvzXG3r171bp1awUHB+ujjz6yc4UAAAAAABQcwhLk8/HHH//jMcLDw295Ww4AAACAe1Sspw19MwquDqAQcBsOAAAAAACAGcISAAAAAAAAM4QlAAAAAAAAZghLAAAAAAAAzBCWAAAAAAAAmCEsAQAAAAAAMENYAgAAAAAAYMbF0QUUZ7GxsffEZ3355Zdq1aqV2rdvr82bN9uvKDsJDw9X48aNNW/ePEeXAgAAAAC4DxCW4K7i4uI0cuRIvf/++0pLS5Ovr6+jSwIAAACAQmPLPz4X5j+Ko+D849twcnNzlZSUpEuXLtmjHhQx165d05o1a/Svf/1LnTt31rJly0xty5Ytk5eXl0X/9evXy2AwWOybPn26KleurLJly2rIkCGKiYlR48aNTe3h4eEaPXq0xTHdunVTVFSUaXvBggUKCgqSm5ubvL291bNnT0lSVFSUdu7cqbfeeksGg0EGg0Gpqal2OHMAAAAAQHFl88yS0aNHKyQkRIMHD1Zubq4effRRffnllypdurQ2btyo8PDwAigTjpKQkKDatWurdu3aGjBggEaOHKlJkyblC0RuZ9WqVXr11Ve1YMECtWjRQqtXr9bcuXPl7+9vdQ3ffvutRo0apRUrVuiRRx7RxYsXtXv3bknSW2+9paNHj6pBgwZ65ZVXJEmVKlWy/UQBAACAYsov5lOr+qW6FXAhQBFi88ySjz76SI0aNZIk/fe//1VKSop++uknjR49Wi+99JLdC4RjLVmyRAMGDJAkRURE6OrVq9q6davVx7/zzjsaPHiwnnrqKQUHB2vy5MkKCQmxqYa0tDS5u7urc+fOqlmzppo0aaJRo0ZJkjw9PVWyZEmVLl1aVapUUZUqVeTs7GzT+AAAAAAAmLM5LPntt99UpUoVSdJnn32mXr16KTg4WIMHD9ahQ4fsXiAc5+eff9a+ffvUp08fSZKLi4t69+6tuLg4m8Z48MEHLfb9dftu2rdvr5o1a6pWrVoaOHCgVq1apevXr9s0BgAAAAAA1rI5LPH29tbhw4eVm5urzZs3q127dpKk69ev2/wv+qNGjZKfn58MBoN++OEH0/709HRFREQoKChIDRo00J49e0xt169fV9++fRUYGKjg4GCtW7fO1JaXl6eRI0cqICBAgYGBWrBggcXnTZ8+XQEBAQoICNCkSZMs2pYsWaKgoCAFBARo6NChunnzpk3ncj9asmSJbt68qerVq8vFxUUuLi5auHCh1q1bp0uXLsnJyUlGo9HimJycnHzj/PWWnb8ec7dxypYtqwMHDig+Pl5Vq1bV5MmT1ahRI12+fPkfniEAAAAAAPnZHJY89dRTioyMVIMGDWQwGNS+fXtJ0jfffKM6derYNFbPnj21Z88e1axZ02J/TEyMHn74YR07dkxLly5V//79TeHFnDlz5OrqquPHj2vLli0aPny4aXHZlStX6vDhwzp69Kj27dun2bNn66effpIk7dq1S/Hx8Tp48KAOHz6sTZs2acuWLZKklJQUTZo0SXv27NHx48d17tw5LVmyxNav5r5y8+ZN/ec//9HcuXOVlJRken3//feqWbOmVq1apUqVKunKlSu6du2a6bikpCSLcWrXrq19+/ZZ7Pv2228ttitVqqSzZ8+atnNzcy3CM+mPWS3t2rXT7NmzdfDgQaWmpmrbtm2SpJIlSyo3N9cepw0AAAAAgO1hSWxsrN5//30NHTpUe/fulaurqyTJ2dlZMTExNo0VFhamGjVq5Nu/Zs0ajRgxQpLUrFkzeXt7m2aXJCQkmNr8/f0VFhamDRs2mNqGDRsmZ2dnlS9fXpGRkVq9erWpLSoqSu7u7nJ1dVV0dLTi4+Ml/bEOS/fu3eXt7S2DwaBhw4aZ2m4lOztbmZmZFq/7zcaNG3Xp0iUNHjxYDRo0sHj17NlTS5Ys0UMPPaTSpUvrxRdf1PHjx/XBBx9YPC1HkkaOHKklS5Zo+fLlOnbsmKZPn66DBw9azDZp06aNPv30U3366af66aefNHz4cItZIxs3btTbb7+tpKQknTx5Uv/5z3+Ul5en2rVrS5L8/Pz0zTffKDU1Vb/99pvy8vIK4ysCAAAAANynbH4azvXr102PbTU3aNAguxR04cIF5eXlWTzRxM/PT2lpaZL+WOzTfCbK3dr+nMWQlpamRx991KLto48+uuuYtzJz5kxNnTr1n5ympKL9/O0lS5aoXbt28vT0zNfWo0cPzZgxQ6mpqVq5cqXGjRund999V+3atVNsbKyGDh1q6tu/f3+dOHFCY8eOVVZWliIjIxUVFWUx2yQ6Olrff/+9nnzySbm4uOj5559X69atTe1eXl5at26dYmNjlZWVpaCgIMXHx6t+/fqSpLFjx2rQoEGqV6+efv/9d6WkpMjPz6/gvhwAAAAAwH3N5rDEy8tLoaGhCg8P16OPPqqWLVvK3d3drkXdbY0L8/bCaPuriRMn6oUXXjBtZ2ZmysfH547H3Gv++9//3ratadOmpu+oadOm6tatm0X7008/bbE9adIkizVi2rdvr8DAQNN2iRIltGDBgnxrzPypZcuW2rFjx23rCQ4O1ldffXXbdgAAAAAAbGHzbTg7d+5Uly5ddODAAfXq1UvlypXTww8/rJiYGG3atOkfF1ShQgVJ0vnz5037Tp48KV9fX0mSr6+vUlNTC63tVlxdXeXh4WHxwq1dv35db7zxhn788Uf99NNPmjJliv73v//ZbSYSAAAAAAD2ZnNY0rx5c8XExGjz5s26dOmSdu3apTp16mju3Lnq3LmzXYrq1auX5s+fL0lKTEzUuXPn1LJly3xtKSkppvDmz7bFixcrNzdXFy9eVEJCgnr37m1qW758ua5du6bs7GzFxcWZHonbo0cPffzxx/r1119lNBq1aNEiUxv+GYPBoM8++0ytWrXSAw88oP/+979au3at6SlKAAAAAAAUNTbfhiNJP/30k3bs2KGdO3dqx44dysnJ0eOPP26xJog1RowYoQ0bNujcuXNq166dypQpo+PHj+u1117TwIEDFRQUpJIlS2rFihVycfmj1HHjxik6OlqBgYFycnLS/PnzVb58eUnSwIEDlZiYqODgYFPfunXrSpLCw8MVGRmpkJAQSVKfPn0UEREhSapVq5amTp2qFi1aKC8vT23atNHgwYP/zleDvyhVqpT+97//OboMAAAAAACsZjDebYGOv6hSpYpycnLUpk0bhYeHKywszBRAFFeZmZny9PRURkZGvltysrKylJKSIn9/f7m5uTmoQjgCP3sAAGCrKtuTrO57rnXjAqsDxYtfzKdW9Ut162f9oLEZf7OaosmWh3NY29eW691tyy9W9SvOPyNr3envd3M234ZTpUoVXb16VWlpaUpLS9Pp06d19erVf1QsAAAAAABAUWFzWJKUlKRff/1VL730km7evKlJkyapUqVKeuihhxQTE1MQNQIAAAAAABSav7VmiZeXl7p06aKWLVuqRYsW2rBhgz744AN9++23mjVrlr1rBAAAAADA7k7H7Lauow131W/dFmBdR8Na6wdFobM5LPn444+1Y8cO7dixQz/++KMqVKigVq1a6c0331Tr1q0LokYAAAAAAIBCY3NY8swzzygsLExPP/20wsPD1aBBg4KoCwAAAAAAwCFsDkvS09MLog6gwKWmpsrf31/fffedGjdu7OhyAAAAAABF1N9asyQ5OVlLly5VcnKy3nrrLVWuXFmbN2+Wj4+P6tevb+8a71tW38tmB23bJNt8THp6uiZNmqRNmzbp119/Vbly5dSoUSPFxsaqefPmdqkrKipKly9f1vr16+0yHgAAAAAA/5TNT8PZuXOnQkJC9M0332jdunWmxwYfPHhQU6ZMsXuBcJwePXro+++/1/Lly3X06FF98sknCg8P18WLFx1dWpFy48YNR5cAAAAAALAjm8OSmJgYTZ8+XV988YVKlixp2t+6dWt99dVXdi0OjnP58mXt2bNHr732mlq3bq2aNWvqwQcf1MSJE9WpUydJUkZGhoYOHarKlSvLw8NDbdq00ffff28aIzY2Vo0bN9bixYvl4+Oj0qVLq1evXrp8+bKpffny5dqwYYMMBoMMBoN27NghSfrll1/Uu3dvlStXThUqVFDXrl2VmppqGjsqKkrdunXTjBkz5O3tLS8vL02dOlU3b97UuHHjVL58edWoUUNxcXH5zu2nn37SI488Ijc3N9WvX9/0mX86fPiwOnbsqDJlysjb21sDBw7Ub7/9ZmoPDw/Xs88+qxdeeEEVK1ZU+/bt7fOlAwAAAACKBJvDkkOHDql79+759leqVEkXLlywS1FwvDJlyqhMmTJav369srOz87UbjUZ16tRJ586d02effab9+/eradOmatu2rcXMk+PHj2vNmjX673//q82bNyspKUkjRoyQJI0dO1aRkZGKiIjQ2bNndfbsWT3yyCO6fv26WrdurTJlymjXrl3as2ePypQpo4iICItZHNu2bdOZM2e0a9cuvfHGG4qNjVXnzp1Vrlw5ffPNNxo2bJiGDRumU6dOWdQ+btw4jRkzRt99950eeeQRdenSxfS7e/bsWT366KNq3Lixvv32W23evFm//vqrIiMjLcZYvny5XFxctHfvXi1evNhu3zsAAAAAwPFsDku8vLx09uzZfPu/++47Va9e3S5FwfFcXFy0bNkyLV++XF5eXmrRooVefPFFHTx4UJK0fft2HTp0SB9++KFCQ0MVFBSkOXPmyMvLSx999JFpnKysLC1fvlyNGzdWWFiY3nnnHa1evVrnzp1TmTJlVKpUKbm6uqpKlSqqUqWKSpYsqdWrV8vJyUnvv/++QkJCVLduXS1dulRpaWkWs0DKly+vt99+W7Vr11Z0dLRq166t69ev68UXX1RQUJAmTpyokiVLau/evRbn9uyzz6pHjx6qW7euFi5cKE9PTy1ZskSStHDhQjVt2lQzZsxQnTp11KRJE8XFxWn79u06evSoaYzAwEDNnj1btWvXVp06dQrwJwEAAAAAKGw2hyX9+vXThAkTdO7cORkMBuXl5Wnv3r0aO3asnnzyyYKoEQ7So0cPnTlzRp988ok6dOigHTt2qGnTplq2bJn279+vq1evqkKFCqZZKGXKlFFKSoqSk/9vMVlfX1/VqFHDtN28eXPl5eXp559/vu3n7t+/X8ePH1fZsmVN45YvX15ZWVkWY9evX19OTv/3K+zt7a2QkBDTtrOzsypUqJDvCU7mi9O6uLgoNDRUR44cMX329u3bLc7pzzDE/LNDQ0Ot/h4BAAAAAPcWm5+G8+qrryoqKkrVq1eX0WhUvXr1lJubq379+unll18uiBrhQG5ubmrfvr3at2+vyZMna8iQIZoyZYqGDx+uqlWr5lvvQ/pj9tHtGAwGi/+8lby8PD3wwANatWpVvrZKlSqZ3pcoUSLf2Lfal5eXd9vP+mtdeXl5evzxx/Xaa6/l61O1alXTe3d397uOCQAAAAC4N9kclpQoUUKrVq3SK6+8ou+++055eXlq0qSJgoKCCqI+FDH16tXT+vXr1bRpU507d04uLi7y8/O7bf+0tDSdOXNG1apVkyR99dVXcnJyUnBwsCSpZMmSys3NtTimadOmSkhIMC0ca29ff/21wsLCJEk3b97U/v379eyzz5o+e+3atfLz85OLy996sjYAAAAA4B5n8204fwoICFDPnj0VGRlJUHIfunDhgtq0aaOVK1fq4MGDSklJ0YcffqjZs2era9euateunZo3b65u3bppy5YtSk1N1ZdffqmXX35Z3377rWkcNzc3DRo0SN9//712796tUaNGKTIyUlWqVJEk+fn56eDBg/r555/122+/KScnR/3791fFihXVtWtX7d69WykpKdq5c6eee+45nT59+h+f2/z58/Xxxx/rp59+0ogRI3Tp0iVFR0dLkkaMGKGLFy+qb9++2rdvn06cOKHPP/9c0dHR+UIdAAAAAMD9yap/On/hhRc0bdo0ubu764UXXrhj3zfeeMMuhRUHbdsk372Tg5QpU0YPPfSQ3nzzTSUnJysnJ0c+Pj56+umn9eKLL8pgMOizzz7TSy+9pOjoaJ0/f15VqlRRWFiYvL29TeMEBgbqiSeeUMeOHXXx4kV17NhRCxYsMLU//fTT2rFjh0JDQ3X16lVt375d4eHh2rVrlyZMmKAnnnhCV65cUfXq1dW2bVu7zDSZNWuWXnvtNX333XcKCAjQhg0bVLFiRUlStWrVtHfvXk2YMEEdOnRQdna2atasqYiICIv1UQAAAAAA9y+D0Wg03q1T69at9fHHH8vLy0utW7e+/WAGg7Zt22bXAu8FmZmZ8vT0VEZGRr4/5rOyspSSkiJ/f3+5ubk5qELHiI2N1fr165WUlOToUhyiOP/sAQDA31Nle5LVfc+1blxgdaB48Yv51Kp+qW79rB80NuNvVlO4Tsfstqrf+25brR6zVdgKq/r1N6y1eky3Lb9Y1e9+/BnZ253+fjdn1cyS7du36+bNm6b3AAAAAAAA9yur7yuoWrWqxo4da3rEKgAAAAAAwP3I6sd9vPDCC1q2bJnefPNNPfjggxoyZIh69+6tMmXKFGR9uIfFxsYqNjbW0WUAAAAAuA/MH2bdkg8jFrUp4EpQHFgdlkycOFETJ07U7t27FRcXp9GjR2v06NHq2bOnhgwZohYtWhRknQAAAACAe0TI8hCr+h0adKiAKwH+Hpsf79GqVSstXbpU586d07x583T8+HG1atVKtWvX1uzZswuiRgAAAAAAgEJj9cySv3J3d9fgwYM1ePBgffrpp3ryySc1ceJEjR8/3p71AQAAAABgtbm9O1vdt7f/hAKsBPcym2eW/On69etaunSpwsLC1KVLF1WoUEGvvvqqPWsDAAAAAAAodDbPLNm9e7eWLl2qjz76SLm5uerZs6emT5+usLCwgqgPAAAAAACgUFkdlsyYMUPLli1TcnKyQkND9frrr6tv377y8PAoyPoAAAAAAPepI3XqWt85fH7BFQL8hdVhyZtvvqkBAwZo8ODBatCgQUHWVGxU2Z5UaJ91rnXjQvsse9ixY4dat26tS5cuycvLy9HlAAAAAACKEavXLDlz5ozefPNNgpJi5tSpUxo8eLCqVaumkiVLqmbNmnruued04cIFq47fsWOHDAaDLl++XLCFAgAAAABgJ1aHJSVKlCjIOlAEnThxQqGhoTp69Kji4+N1/PhxLVq0SFu3blXz5s118eJFR5dosxs3bji6BAAAAABAEfe3n4aD+9+IESNUsmRJff7553r00Ufl6+urxx57TP/73//0yy+/6KWXXpIkZWdna/z48fLx8ZGrq6uCgoK0ZMkSpaamqnXr1pKkcuXKyWAwKCoqynTMqFGjVLlyZbm5ually5ZKTEzMV8PevXvVqFEjubm56aGHHtKhQ4cs2r/88kuFhYWpVKlS8vHx0ahRo3Tt2jVTu5+fn6ZPn66oqCh5enrq6aefLqBvCwAAAABwvyAswS1dvHhRW7Zs0fDhw1WqVCmLtipVqqh///5KSEiQ0WjUk08+qdWrV+vtt9/WkSNHtGjRIpUpU0Y+Pj5au3atJOnnn3/W2bNn9dZbb0mSxo8fr7Vr12r58uU6cOCAAgMD1aFDh3yzVcaNG6c5c+YoMTFRlStXVpcuXZSTkyNJOnTokDp06KAnnnhCBw8eVEJCgvbs2aNnn33WYozXX39dDRo00P79+zVp0qSC+soAAAAAAPcJmx8djOLh2LFjMhqNqlv31qtT161bV5cuXVJiYqLWrFmjL774Qu3atZMk1apVy9SvfPnykqTKlSubFmq9du2aFi5cqGXLlumxxx6TJL333nv64osvtGTJEo0bN850/JQpU9S+fXtJ0vLly1WjRg19/PHHioyM1Ouvv65+/fpp9OjRkqSgoCC9/fbbevTRR7Vw4UK5ublJktq0aaOxY8fa78sBAAAAANzX/tbMkuTkZL388svq27ev0tPTJUmbN2/Wjz/+aNfiUHQZjUZJUkpKipydnfXoo49afWxycrJycnLUokUL074SJUrowQcf1JEjRyz6Nm/e3PS+fPnyql27tqnP/v37tWzZMpUpU8b06tChg/Ly8pSSkmI6LjQ09G+dIwAAAACgeLI5LNm5c6dCQkL0zTffaN26dbp69aok6eDBg5oyZYrdC4RjBAYGymAw6PDhw7ds/+mnn1SuXDmVLl3a5rH/DFoMBkO+/X/ddyt/9snLy9MzzzyjpKQk0+v777/XsWPHFBAQYOrv7u5uc40AAAAAgOLL5rAkJiZG06dP1xdffKGSJUua9rdu3VpfffWVXYuD41SoUEHt27fXggUL9Pvvv1u0nTt3TqtWrVLv3r0VEhKivLw87dy585bj/Pk7kpuba9oXGBiokiVLas+ePaZ9OTk5+vbbb/Pd9vP111+b3l+6dElHjx5VnTp1JElNmzbVjz/+qMDAwHwv899NAAAAAABsYXNYcujQIXXv3j3f/kqVKunChQt2KQpFw7///W9lZ2erQ4cO2rVrl06dOqXNmzerffv2ql69ul599VX5+flp0KBBio6O1vr165WSkqIdO3ZozZo1kqSaNWvKYDBo48aNOn/+vK5evSp3d3f961//0rhx47R582YdPnxYTz/9tK5fv67Bgwdb1PDKK69o69at+uGHHxQVFaWKFSuqW7dukqQJEyboq6++0ogRI5SUlKRjx47pk08+0ciRIwv7qwIAAAAA3EdsXuDVy8tLZ8+elb+/v8X+7777TtWrV7dbYcXBudaNHV3CHQUFBenbb79VbGysevfurQsXLqhKlSrq1q2bpkyZYlq8deHChXrxxRc1fPhwXbhwQb6+vnrxxRclSdWrV9fUqVMVExOjp556Sk8++aSWLVumWbNmKS8vTwMHDtSVK1cUGhqqLVu2qFy5chY1zJo1S88995yOHTumRo0a6ZNPPjHNGmnYsKF27typl156Sa1atZLRaFRAQIB69+5duF8UAAAAAOC+YnNY0q9fP02YMEEffvihDAaD8vLytHfvXo0dO1ZPPvlkQdQIB6pZs6aWLl16xz5ubm5644039MYbb9yyfdKkSfke2evm5qa3335bb7/99i2PCQ8PN61t0rlz59t+drNmzfT555/ftj01NfWOtQMAAAAA8Fc234bz6quvytfXV9WrV9fVq1dVr149hYWF6ZFHHtHLL79cEDUCAAAAAAAUGptnlpQoUUKrVq3SK6+8ou+++055eXlq0qSJgoKCCqI+AAAAAACAQmVzWPKngIAAi8ezAgAAAAAA3A9sDkteeOGFW+43GAxyc3NTYGCgunbtalr8EwAAAAAA4F5ic1jy3Xff6cCBA8rNzVXt2rVlNBp17NgxOTs7q06dOlqwYIHGjBmjPXv2qF69egVRMwAAAAAAQIGxeYHXrl27ql27djpz5oz279+vAwcO6JdfflH79u3Vt29f/fLLLwoLC9Pzzz9fEPUCAAAAAAAUKJvDktdff13Tpk2Th4eHaZ+Hh4diY2M1e/ZslS5dWpMnT9b+/fvtWigAAAAAAEBhsDksycjIUHp6er7958+fV2ZmpiTJy8tLN27c+OfVAQAAAAAAFLK/dRtOdHS0Pv74Y50+fVq//PKLPv74Yw0ePFjdunWTJO3bt0/BwcH2rhUAAAAAAKDA2bzA6+LFi/X888+rT58+unnz5h+DuLho0KBBevPNNyVJderU0fvvv2/fSu9DfjGfFtpnpc7qVGifVVRERUXp8uXLWr9+vaNLAQAAAADcQ2yeWVKmTBm99957unDhgunJOBcuXNC7774rd3d3SVLjxo3VuHFje9eKQhYVFSWDwaBZs2ZZ7F+/fr0MBoODqgIAAAAAoGDZHJb8qUyZMmrYsKEaNWqkMmXK2LMmSdKWLVv0wAMPqEmTJmrQoIGWL18uSUpPT1dERISCgoLUoEED7dmzx3TM9evX1bdvXwUGBio4OFjr1q0zteXl5WnkyJEKCAhQYGCgFixYYPF506dPV0BAgAICAjRp0iS7n8+9ys3NTa+99pouXbrk6FKKBKPRaJpRBQAAAAC4P/2tsCQxMVHjx49Xnz599MQTT1i87MFoNKpfv35aunSpvvvuO23cuFHPPPOMrly5opiYGD388MM6duyYli5dqv79+5v+eJ0zZ45cXV11/PhxbdmyRcOHDzf9kb9y5UodPnxYR48e1b59+zR79mz99NNPkqRdu3YpPj5eBw8e1OHDh7Vp0yZt2bLFLudyr2vXrp2qVKmimTNn3rbP2rVrVb9+fbm6usrPz09z5841tU2cOFEPP/xwvmMaNmyoKVOmmLaXLl2qunXrys3NTXXq1LEIs1JTU2UwGLRmzRq1atVKpUqVUrNmzXT06FElJiYqNDRUZcqUUUREhM6fP5/vs6ZOnarKlSvLw8NDzzzzjMXiw0ajUbNnz1atWrVUqlQpNWrUSB999JGpfceOHTIYDNqyZYtCQ0Pl6uqq3bt3W/8FAgAAAADuOTaHJatXr1aLFi10+PBhffzxx8rJydHhw4e1bds2eXp62rW4y5cvS5IyMzNVoUIFubq6as2aNRoxYoQkqVmzZvL29jbNLklISDC1+fv7KywsTBs2bDC1DRs2TM7OzipfvrwiIyO1evVqU1tUVJTc3d3l6uqq6OhoxcfH2/Vc7lXOzs6aMWOG3nnnHZ0+fTpf+/79+xUZGak+ffro0KFDio2N1aRJk7Rs2TJJUv/+/fXNN98oOTnZdMyPP/6oQ4cOqX///pKk9957Ty+99JJeffVVHTlyRDNmzNCkSZNMs4n+NGXKFL388ss6cOCAXFxc1LdvX40fP15vvfWWdu/ereTkZE2ePNnimK1bt+rIkSPavn274uPj9fHHH2vq1Kmm9pdffllLly7VwoUL9eOPP+r555/XgAEDtHPnTotxxo8fr5kzZ+rIkSNq2LDhP/pOAQAAAABFm80LvM6YMUNvvvmmRowYobJly+qtt96Sv7+/nnnmGVWtWtUuRf05i+CJJ56Qu7u7Ll26pHXr1unKlSvKy8tTpUqVTH39/PyUlpYmSUpLS1PNmjWtbvv2229NbY8++qhFm/nsgr/Kzs5Wdna2afvPRybfr7p3767GjRtrypQpWrJkiUXbG2+8obZt25puXQoODtbhw4f1+uuvKyoqSg0aNFDDhg31wQcfmPqsWrVKzZo1Mz0xadq0aZo7d65pZpK/v78OHz6sxYsXa9CgQabPGjt2rDp06CBJeu6559S3b19t3bpVLVq0kCQNHjzYFNL8qWTJkoqLi1Pp0qVVv359vfLKKxo3bpymTZum33//XW+88Ya2bdum5s2bS5Jq1aqlPXv2aPHixRa/E6+88orat29vr68UAAAAAFCE2RyWJCcnq1OnP56s4urqqmvXrslgMOj5559XmzZtLP7V/u+6efOmZs6cqQ0bNqhFixZKTExUt27ddPDgwXwLixqNRott83Z7tf3VzJkz7XKe95LXXntNbdq00ZgxYyz2HzlyRF27drXY16JFC82bN0+5ublydnZW//79FRcXp0mTJsloNCo+Pl6jR4+WJJ0/f16nTp3S4MGD9fTTT5vGuHnzZr6ZSuYzOry9vSVJISEhFvvS09MtjmnUqJFKly5t2m7evLmuXr2qU6dOKT09XVlZWflCkBs3bqhJkyYW+0JDQ+/4/QAAABRZsTbM/o7NKLg6AOAeYnNYUr58eV25ckWSVL16df3www8KCQnR5cuXdf36dbsUlZSUpDNnzphmDDRr1kzVqlXTwYMHJf3xB/afs0tOnjwpX19fSZKvr69SU1Mt2jp27GjR1qxZs9se9yfztluZOHGiXnjhBdN2ZmamfHx87HHqRVZYWJg6dOigF198UVFRUab9RqPxrgFWv379FBMTowMHDuj333/XqVOn1KdPH0l/LLwr/XErzkMPPWRxnLOzs8V2iRIlTO///My/7vtzvLsx7/vpp5+qevXqFu2urq4W238+6QkAAAAAcP+zec2SVq1a6YsvvpAkRUZG6rnnntPTTz+tvn37qm3btnYpysfHR6dPn9bPP/8sSTp+/LiSk5MVHBysXr16af78+ZL+WGj23LlzatmypSRZtKWkpGjnzp3q0qWLqW3x4sXKzc3VxYsXlZCQoN69e5vali9frmvXrik7O1txcXGmP+ZvxdXVVR4eHhav4mDWrFn673//qy+//NK0r169ehZPJJKkL7/8UsHBwaawo0aNGgoLC9OqVau0atUqtWvXzjQzxNvbW9WrV9eJEycUGBho8fL39//HNX///ff6/fffTdtff/21ypQpoxo1aqhevXpydXVVWlpavs++38MvAAAAAMDt2Tyz5N///reysrIk/THDokSJEtqzZ4+eeOIJuz1y19vbW4sXL1bPnj3l5OQko9GoBQsWqHr16nrttdc0cOBABQUFqWTJklqxYoVcXP44jXHjxik6OlqBgYFycnLS/PnzVb58eUnSwIEDlZiYaFonY9y4capbt64kKTw8XJGRkaZbOvr06aOIiAi7nMv9JCQkRP3799c777xj2jdmzBg1a9ZM06ZNU+/evfXVV1/p3//+d75HM/fv31+xsbG6ceOG3nzzTYu22NhYjRo1Sh4eHnrssceUnZ2tb7/9VpcuXbKYwfN33LhxQ4MHD9bLL7+skydPasqUKXr22Wfl5OSksmXLauzYsXr++eeVl5enli1bKjMzU19++aXKlCljsV4KAAAAAKD4sCksOXnypD7//HPl5OTo0UcfVf369TV+/HiNHz/e7oX17dtXffv2zbff29tbn3/++S2PcXd3V0JCwi3bnJ2dTbNObmXy5Mn5nqRS0FJndSrUz7OHadOmac2aNabtpk2bas2aNZo8ebKmTZumqlWr6pVXXrG4VUf6Y/bOyJEj5ezsrG7dulm0DRkyRKVLl9brr7+u8ePHy93dXSEhIaZ1Tf6Jtm3bKigoSGFhYcrOzlafPn0UGxtrcT6VK1fWzJkzdeLECXl5ealp06Z68cUX//FnAwAAFCS/mE+t6pfqVsCFAMB9yGC822qm/79du3apY8eOpnVJXFxctHz58lsGGsVNZmamPD09lZGRke+WnKysLKWkpMjf319ubvwvVXHCzx4AANiqyvYkq/u6bfnFqn6pbv2sL4AFXosl64M363+XQvxvvwakuTUzb1o95rbw2//jt7msS29YPWZv/wlW9XvfbavVY7YKW2FVv/6GtVaPyfVuP3f6+92c1WuWTJo0Sa1bt9bp06d14cIFRUdHF8iMEgAAAAAAAEeyOiw5dOiQZs6cqWrVqqlcuXKaO3euzpw5o0uXLhVkfQAAAAAAAIXK6rDk8uXLqly5smnb3d1dpUuX1uXLlwuiLgAAAAAAAIewaYHXw4cP69y5c6Zto9GoI0eO6MqVK6Z9DRs2tF91AAAAAAAAhcymsKRt27b663qwnTt3lsFgkNFolMFgUG5url0LBAAAAAAAKExWhyUpKSkFWQcAAAAAAECRYHVYUrNmzYKsAwAAAAAAoEiweoFXAAAAAACA4oCwBAAAAAAAwIxNC7zCzmI9C/GzMgrvs4oIPz8/jR49WqNHj3Z0KQAAAACAewgzS3BbUVFRMhgMMhgMKlGihLy9vdW+fXvFxcUpLy/P0eUBAAAAAFAg/lZYcvPmTf3vf//T4sWLdeXKFUnSmTNndPXqVbsWB8eLiIjQ2bNnlZqaqk2bNql169Z67rnn1LlzZ928edPR5RW6nJwcR5cAAAAAAChgNoclJ0+eVEhIiLp27aoRI0bo/PnzkqTZs2dr7Nixdi8QjuXq6qoqVaqoevXqatq0qV588UVt2LBBmzZt0rJlyyRJGRkZGjp0qCpXriwPDw+1adNG33//vcU4n3zyiUJDQ+Xm5qaKFSvqiSeeMLXduHFD48ePV/Xq1eXu7q6HHnpIO3bsMLUvW7ZMXl5e2rhxo2rXrq3SpUurZ8+eunbtmpYvXy4/Pz+VK1dOI0eOVG5ursXnXrlyRf369VOZMmVUrVo1vfPOOxbtd6s9NjZWjRs3VlxcnGrVqiVXV1cZjUY7fbsAAAAAgKLI5rDkueeeU2hoqC5duqRSpUqZ9nfv3l1bt261a3Eomtq0aaNGjRpp3bp1MhqN6tSpk86dO6fPPvtM+/fvV9OmTdW2bVtdvHhRkvTpp5/qiSeeUKdOnfTdd99p69atCg0NNY331FNPae/evVq9erUOHjyoXr16KSIiQseOHTP1uX79ut5++22tXr1amzdv1o4dO/TEE0/os88+02effaYVK1bo3Xff1UcffWRR6+uvv66GDRvqwIEDmjhxop5//nl98cUXkmRV7ZJ0/PhxrVmzRmvXrlVSUlIBfrMAAAAAgKLA5gVe9+zZo71796pkyZIW+2vWrKlffvnFboWhaKtTp44OHjyo7du369ChQ0pPT5erq6skac6cOVq/fr0++ugjDR06VK+++qr69OmjqVOnmo5v1KiRJCk5OVnx8fE6ffq0qlWrJkkaO3asNm/erKVLl2rGjBmS/rj9ZeHChQoICJAk9ezZUytWrNCvv/6qMmXKqF69emrdurW2b9+u3r17mz6nRYsWiomJkSQFBwdr7969evPNN9W+fXurapf+mPmyYsUKVapUqSC/UgAAAABAEWFzWJKXl5fvVgdJOn36tMqWLWuXolD0GY1GGQwG7d+/X1evXlWFChUs2n///XclJydLkpKSkvT000/fcpwDBw7IaDQqODjYYn92drbFmKVLlzYFJZLk7e0tPz8/lSlTxmJfenq6xTjNmzfPtz1v3jxJsqp26Y8gkKAEAAAAAIoPm8OS9u3ba968eXr33XclSQaDQVevXtWUKVPUsWNHuxeIounIkSPy9/dXXl6eqlatarHGyJ+8vLwkyeJ2rb/Ky8uTs7Oz9u/fL2dnZ4s28yCkRIkSFm1/PqHnr/useUqPwWAwffbdapckd3f3u44JAAAAALh/2ByWvPnmm2rdurXq1aunrKws9evXT8eOHVPFihUVHx9fEDWiiNm2bZsOHTqk559/XjVq1NC5c+fk4uIiPz+/W/Zv2LChtm7dqqeeeipfW5MmTZSbm6v09HS1atXK7rV+/fXX+bbr1KkjSWratOldawcAAAAAFD82hyXVqlVTUlKS4uPjdeDAAeXl5Wnw4MHq37//HWcQ4N6UnZ2tc+fOKTc3V7/++qs2b96smTNnqnPnznryySfl5OSk5s2bq1u3bnrttddUu3ZtnTlzRp999pm6deum0NBQTZkyRW3btlVAQID69OmjmzdvatOmTRo/fryCg4PVv39/Pfnkk5o7d66aNGmi3377Tdu2bVNISMg/nq20d+9ezZ49W926ddMXX3yhDz/8UJ9++qkkqV27dnetHQAAAABQ/Ngclkh/3FYRHR2t6Ohoe9dTvMRmOLqCu9q8ebOqVq0qFxcXlStXTo0aNdLbb7+tQYMGycnpj4cpffbZZ3rppZcUHR2t8+fPq0qVKgoLC5O3t7ckKTw8XB9++KGmTZumWbNmycPDQ2FhYabPWLp0qaZPn64xY8bol19+UYUKFdS8eXO73NY1ZswY7d+/X1OnTlXZsmU1d+5cdejQQdIft+PcrXYAAAAAQPFjMBqNRlsO+OSTT249kMEgNzc3BQYGyt/f3y7F3SsyMzPl6empjIwMeXh4WLRlZWUpJSVF/v7+cnNzc1CFcAR+9gAAwFZVtidZ3ddti3VPokx162d9AffAP+bB/vxiPrWqny2/SyH+vlb1WzPzptVjbgufb1W/rEtvWD1mb/8JVvV7322r1WO2ClthVb/+hrVWj8n1bj93+vvdnM0zS7p16yaDwaC/Zix/7jMYDGrZsqXWr1+vcuXK2V45AAAAAACAAznZesAXX3yhZs2a6YsvvlBGRoYyMjL0xRdf6MEHH9TGjRu1a9cuXbhwQWPHji2IegEAAAAAAAqUzTNLnnvuOb377rt65JFHTPvatm0rNzc3DR06VD/++KPmzZvHeiYAAAAoMub27mx13zEJGwuwEgDAvcDmmSXJycm3vK/Hw8NDJ06ckCQFBQXpt99+++fVAQAAAAAAFDKbw5IHHnhA48aN0/nz5037zp8/r/Hjx6tZs2aSpGPHjqlGjRr2q/I+YOM6urgP8DMHAAAAgHuTzbfhLFmyRF27dlWNGjXk4+Mjg8GgtLQ01apVSxs2bJAkXb16VZMmTbJ7sfeiEiVKSJKuX7+uUqVKObgaFKbr169L+r/fAQAAAADAvcHmsKR27do6cuSItmzZoqNHj8poNKpOnTpq3769nJz+mKjSrVs3e9d5z3J2dpaXl5fS09MlSaVLl5bBYHBwVShIRqNR169fV3p6ury8vOTs7OzokgAAAAAANrA5LJH+eExwRESEIiIi7F3PfalKlSqSZApMUDx4eXmZfvYAAAAAgHvH3wpLrl27pp07dyotLU03btywaBs1apRdCrufGAwGVa1aVZUrV1ZOTo6jy0EhKFGiBDNKAAAAAOAeZXNY8t1336ljx466fv26rl27pvLly+u3335T6dKlVblyZcKSO3B2duYPaAAAAAAAijibn4bz/PPP6/HHH9fFixdVqlQpff311zp58qQeeOABzZkzpyBqBAAAAAAAKDQ2hyVJSUkaM2aMaZZEdna2fHx8NHv2bL344osFUSMAAAAAAEChsTksKVGihOlpLt7e3kpLS5MkeXp6mt4DAAAAAADcq2xes6RJkyb69ttvFRwcrNatW2vy5Mn67bfftGLFCoWEhBREjQAAAAAAAIXG5rBkxowZunLliiRp2rRpGjRokP71r38pMDBQS5cutXuBAAAUBadjdlvVr8asVgVcCYB70dZtAdZ1NKwt2EIAAFaxKSwxGo2qVKmS6tevL0mqVKmSPvvsswIpDAAAAPeAWE8b+mYUXB0AANiRTWuWGI1GBQUF6fTp0wVVDwAAAAAAgEPZFJY4OTkpKChIFy5cKKh6AAAAAAAAHMrmp+HMnj1b48aN0w8//FAQ9QAAAAAAADiUzQu8DhgwQNevX1ejRo1UsmRJlSpVyqL94sWLdisOAAAAAACgsNkclsybN68AygAAAAAAACgabA5LBg0aVBB1AAAAAEUCjwoHANi8ZokkJScn6+WXX1bfvn2Vnp4uSdq8ebN+/PFHuxYHAAAAAABQ2GyeWbJz50499thjatGihXbt2qVXX31VlStX1sGDB/X+++/ro48+Kog6AQAAcI8LWR5iVb9Dgw4VcCX2ERsba3XfVmEFVwcAwP5sDktiYmI0ffp0vfDCCypbtqxpf+vWrfXWW2/ZtTgAAAAUP0fq1LW6b92fjhRgJQCA4srm23AOHTqk7t2759tfqVIlXbhwwS5FAQAAAAAAOIrNYYmXl5fOnj2bb/93332n6tWr26UoAAAAAAAAR7E5LOnXr58mTJigc+fOyWAwKC8vT3v37tXYsWP15JNPFkSNAAAAAAAAhcbmsOTVV1+Vr6+vqlevrqtXr6pevXoKCwvTI488opdfftluhWVnZ+vZZ59VUFCQ6tevrwEDBkiS0tPTFRERoaCgIDVo0EB79uwxHXP9+nX17dtXgYGBCg4O1rp160xteXl5GjlypAICAhQYGKgFCxZYfN706dMVEBCggIAATZo0yW7nAQAAAAAA7i02L/BaokQJrVq1Sq+88oq+++475eXlqUmTJgoKCrJrYTExMXJyctLRo0dlMBhMt/7ExMTo4Ycf1ubNm5WYmKiePXsqOTlZLi4umjNnjlxdXXX8+HGlpKSoefPmat26tcqVK6eVK1fq8OHDOnr0qDIyMtS0aVO1adNGderU0a5duxQfH6+DBw/KxcVFLVq0UMuWLdWhQwe7nhMAAAAAACj6bJ5ZsnPnTklSQECAevbsqcjISLsHJdeuXdPSpUs1Y8YMGQwGSVLVqlUlSWvWrNGIESMkSc2aNZO3t7dpdklCQoKpzd/fX2FhYdqwYYOpbdiwYXJ2dlb58uUVGRmp1atXm9qioqLk7u4uV1dXRUdHKz4+/rb1ZWdnKzMz0+IFAAAAAADuDzaHJe3bt5evr69iYmL0ww8/FERNSk5OVoUKFTR9+nSFhoaqVatW2rp1qy5cuKC8vDxVqlT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      "text/plain": [
       "<Figure size 1300x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = df_bar.plot.bar(legend=True,figsize=(13,6),ylabel=\"Average Page Views\",xlabel=\"Years\").figure\n",
    "plt.legend([\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"])\n",
    "plt.xticks(fontsize = 8)\n",
    "plt.yticks(fontsize = 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "a8dbf6ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_box = df.copy()\n",
    "df_box.reset_index(inplace=True)\n",
    "df_box[\"year\"] = [d.year for d in df_box.date]\n",
    "df_box[\"month\"] = [d.strftime(\"%b\") for d in df_box.date]\n",
    "\n",
    "df_box[\"month_num\"] = df_box[\"date\"].dt.month\n",
    "df_box = df_box.sort_values(\"month_num\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "678e6e95",
   "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>date</th>\n",
       "      <th>value</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-05-19</td>\n",
       "      <td>19736</td>\n",
       "      <td>May</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-05-26</td>\n",
       "      <td>18060</td>\n",
       "      <td>May</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-05-27</td>\n",
       "      <td>19997</td>\n",
       "      <td>May</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-05-28</td>\n",
       "      <td>19044</td>\n",
       "      <td>May</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-05-29</td>\n",
       "      <td>20325</td>\n",
       "      <td>May</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>2019-11-24</td>\n",
       "      <td>138875</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>2019-11-29</td>\n",
       "      <td>171584</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1235</th>\n",
       "      <td>2019-11-30</td>\n",
       "      <td>141161</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>142918</td>\n",
       "      <td>Dec</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>2019-12-03</td>\n",
       "      <td>158549</td>\n",
       "      <td>Dec</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1238 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date   value month  year\n",
       "0    2016-05-19   19736   May  2016\n",
       "1    2016-05-26   18060   May  2016\n",
       "2    2016-05-27   19997   May  2016\n",
       "3    2016-05-28   19044   May  2016\n",
       "4    2016-05-29   20325   May  2016\n",
       "...         ...     ...   ...   ...\n",
       "1233 2019-11-24  138875   Nov  2019\n",
       "1234 2019-11-29  171584   Nov  2019\n",
       "1235 2019-11-30  141161   Nov  2019\n",
       "1236 2019-12-01  142918   Dec  2019\n",
       "1237 2019-12-03  158549   Dec  2019\n",
       "\n",
       "[1238 rows x 4 columns]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_box"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "160e9c2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig,axes = plt.subplots(nrows = 1,ncols=2,figsize = (10,5))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "463f17f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "axes[0]= sns.boxplot(x=df_box[\"year\"],y=df_box[\"value\"],ax=axes[0])\n",
    "axes[1]= sns.boxplot(x=df_box[\"month\"],y=df_box[\"value\"],ax=axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "2f0ffbe5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(4.444444444444452, 0.5, 'Page Views')"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes[0].set_title(\"Year-wise Box Plot(Trend)\")\n",
    "axes[0].set_xlabel(\"Year\")\n",
    "axes[0].set_ylabel(\"Page Views\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "e292e367",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(427.1717171717171, 0.5, 'Page views')"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes[1].set_title(\"Month-Wise Box Plot (seasonality)\")\n",
    "axes[1].set_xlabel(\"Month\")\n",
    "axes[1].set_ylabel(\"Page views\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "925c3351",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c404965",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}