vk_analytics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Исходные данные\n",
    "Дан .csv файл с количеством рекламных событий по дням. 11 апреля произошел резкий скачок. <br>\n",
    "Необходимо воспроизвести график и узнать, **является ли данный всплеск ошибкой в сборе статистик или этот рост чем-то обоснован.**\n",
    "\n",
    "# Разобьем задачу на подпункты\n",
    "1. [Воспроизведение графика](#Воспроизведение-графика).\n",
    "2. [Анализ](#Анализ).\n",
    "3. [Определение выброса](#Определение-выброса).\n",
    "4. [Итоги](#Итоги)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Воспроизведение графика\n",
    "Читаем входные данные, строим координатную плоскость и оси и подписываем их."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "csv_reader = pandas.read_csv('test_data.csv',\n",
    "                             sep = ',',\n",
    "                             parse_dates = ['date'])\n",
    "\n",
    "pandas.set_option('display.precision', 10)\n",
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "data = csv_reader.groupby(['date'])['event'].count()\n",
    "ax.plot(data,\n",
    "        linestyle = '-', color = '#4680C2',\n",
    "        marker = '.', markersize = 8, markerfacecolor = '#4680C2')\n",
    "\n",
    "ax.xaxis_date()\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %d'))\n",
    "ax.yaxis.set_major_formatter(\n",
    "    ticker.FuncFormatter(lambda y, pos: '%.0fk' % (y * 1e-3)))\n",
    "plt.title('Распределение действий с рекламными объявлениями')\n",
    "plt.xlabel('Дни')\n",
    "plt.ylabel('Количество действий с рекламными объявлениями')\n",
    "plt.grid(color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Анализ\n",
    "Во-первых, можно проверить данные на дублирование, т.е. **удалить все повторяющиеся записи** (выделить в отдельный DataFrame для последующего анализа)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "До:         122097\n",
      "После:      120961\n",
      "Дубликатов: 1136, вкл. 617 от 11 апреля\n"
     ]
    }
   ],
   "source": [
    "uniq_csv = csv_reader.drop_duplicates(keep = 'first')\n",
    "nonuniq_csv = csv_reader[csv_reader.duplicated(keep = 'first')]\n",
    "print('До:         %.0f' % csv_reader.shape[0])\n",
    "print('После:      %.0f' % uniq_csv.shape[0])\n",
    "print('Дубликатов: %.0f, вкл. %.0f от 11 апреля' %\\\n",
    "      (nonuniq_csv.shape[0],\n",
    "       nonuniq_csv[(nonuniq_csv.date == '2019-04-11')].shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В данных оказалось **1136 дубликатов**. Очевидно, что их количество будет расти с количеством рекламных действий.<br>\n",
    "Убедимся в этом, построив график распределения дубликатов по дням."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "data = nonuniq_csv.groupby(['date'])['event'].count()\n",
    "ax.plot(data,\n",
    "        linestyle = '-', color = '#4680C2',\n",
    "        marker = '.', markersize = 8, markerfacecolor = '#4680C2')\n",
    "\n",
    "ax.xaxis_date()\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %d'))\n",
    "plt.title('Распределение дубликатов действий с рекламными объявлениями')\n",
    "plt.xlabel('Дни')\n",
    "plt.ylabel('Количество дубликатов')\n",
    "plt.grid(which = 'major',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.grid(which = 'minor',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Далее для анализа будут использоваться только уникальные записи.\n",
    "Посмотрим, какой именно из типов взаимодействия (показ / клик / жалоба) оказал наибольшее влияние, а также с какой платформы происходили действия."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "event_data = uniq_csv.pivot_table(index = 'date',\n",
    "                                  columns = 'event',\n",
    "                                  aggfunc = 'size')\n",
    "platform_data = uniq_csv.pivot_table(index = 'date',\n",
    "                                     columns = 'platform',\n",
    "                                     aggfunc = 'size')\n",
    "event_data.plot(ax = ax)\n",
    "platform_data.plot(ax = ax)\n",
    "\n",
    "ax.yaxis.set_major_formatter(\n",
    "    ticker.FuncFormatter(lambda y, pos: '%.0fk' % (y * 1e-3)))\n",
    "plt.title('Распределение типов уникальных действий с объявлениями')\n",
    "plt.xlabel('Дни')\n",
    "plt.ylabel('Количество действий с рекламными объявлениями')\n",
    "plt.grid(which = 'major',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.grid(which = 'minor',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "По графику видно, что произошло большое увелечение количества **показов объявлений** (view, зеленая линия) **на платформе Android** (красная линия).<br>\n",
    "Для более подробного изучения данного всплекса построим сводную таблицу по датам и характеристикам рекламных объявлений (агенство, клиент, кампания и само объявление), а затем отсортируем ее по количеству действий 11 апреля.<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>2019-04-01 00:00:00</th>\n",
       "      <th>2019-04-02 00:00:00</th>\n",
       "      <th>2019-04-03 00:00:00</th>\n",
       "      <th>2019-04-04 00:00:00</th>\n",
       "      <th>2019-04-05 00:00:00</th>\n",
       "      <th>2019-04-06 00:00:00</th>\n",
       "      <th>2019-04-07 00:00:00</th>\n",
       "      <th>2019-04-08 00:00:00</th>\n",
       "      <th>2019-04-09 00:00:00</th>\n",
       "      <th>2019-04-10 00:00:00</th>\n",
       "      <th>2019-04-11 00:00:00</th>\n",
       "      <th>2019-04-12 00:00:00</th>\n",
       "      <th>2019-04-13 00:00:00</th>\n",
       "      <th>2019-04-14 00:00:00</th>\n",
       "      <th>2019-04-15 00:00:00</th>\n",
       "      <th>2019-04-16 00:00:00</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_union_id</th>\n",
       "      <th>client_union_id</th>\n",
       "      <th>campaign_union_id</th>\n",
       "      <th>ad_id</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">agency_2</th>\n",
       "      <th rowspan=\"4\" valign=\"top\">client_47270</th>\n",
       "      <th rowspan=\"4\" valign=\"top\">campaign_49554</th>\n",
       "      <th>ad_49554</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>260.0</td>\n",
       "      <td>9104.0</td>\n",
       "      <td>4765.0</td>\n",
       "      <td>6090.0</td>\n",
       "      <td>3631.0</td>\n",
       "      <td>2342.0</td>\n",
       "      <td>387.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_49556</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3379.0</td>\n",
       "      <td>1478.0</td>\n",
       "      <td>993.0</td>\n",
       "      <td>802.0</td>\n",
       "      <td>551.0</td>\n",
       "      <td>912.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_49560</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2897.0</td>\n",
       "      <td>1854.0</td>\n",
       "      <td>1029.0</td>\n",
       "      <td>510.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>254.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_49564</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1429.0</td>\n",
       "      <td>1006.0</td>\n",
       "      <td>684.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>265.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_agency</th>\n",
       "      <th>client_6</th>\n",
       "      <th>campaign_387</th>\n",
       "      <th>ad_388</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_2</th>\n",
       "      <th>client_47269</th>\n",
       "      <th>campaign_47269</th>\n",
       "      <th>ad_47269</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>267.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_29</th>\n",
       "      <th>client_99239</th>\n",
       "      <th>campaign_99242</th>\n",
       "      <th>ad_99303</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">no_agency</th>\n",
       "      <th>client_6</th>\n",
       "      <th>campaign_387</th>\n",
       "      <th>ad_387</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_7</th>\n",
       "      <th>campaign_1181</th>\n",
       "      <th>ad_1181</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_1589</th>\n",
       "      <th>client_116532</th>\n",
       "      <th>campaign_116726</th>\n",
       "      <th>ad_116811</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_agency</th>\n",
       "      <th>client_645</th>\n",
       "      <th>campaign_15893</th>\n",
       "      <th>ad_15944</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_491</th>\n",
       "      <th>client_111056</th>\n",
       "      <th>campaign_111076</th>\n",
       "      <th>ad_111076</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">no_agency</th>\n",
       "      <th>client_23</th>\n",
       "      <th>campaign_3021</th>\n",
       "      <th>ad_3021</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_42</th>\n",
       "      <th>campaign_5822</th>\n",
       "      <th>ad_6302</th>\n",
       "      <td>24.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_979</th>\n",
       "      <th>campaign_17074</th>\n",
       "      <th>ad_17074</th>\n",
       "      <td>28.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_42</th>\n",
       "      <th>campaign_5822</th>\n",
       "      <th>ad_6304</th>\n",
       "      <td>15.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_148</th>\n",
       "      <th>client_105218</th>\n",
       "      <th>campaign_105218</th>\n",
       "      <th>ad_105218</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_158</th>\n",
       "      <th>client_106761</th>\n",
       "      <th>campaign_106895</th>\n",
       "      <th>ad_106895</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">agency_33</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">client_99583</th>\n",
       "      <th>campaign_99643</th>\n",
       "      <th>ad_99643</th>\n",
       "      <td>102.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_99644</th>\n",
       "      <th>ad_100220</th>\n",
       "      <td>24.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_agency</th>\n",
       "      <th>client_21618</th>\n",
       "      <th>campaign_32728</th>\n",
       "      <th>ad_32728</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_155</th>\n",
       "      <th>client_105617</th>\n",
       "      <th>campaign_106015</th>\n",
       "      <th>ad_106015</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_77</th>\n",
       "      <th>client_103781</th>\n",
       "      <th>campaign_103788</th>\n",
       "      <th>ad_104175</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">no_agency</th>\n",
       "      <th>client_22</th>\n",
       "      <th>campaign_2852</th>\n",
       "      <th>ad_2852</th>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_42</th>\n",
       "      <th>campaign_5822</th>\n",
       "      <th>ad_6308</th>\n",
       "      <td>24.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_2170</th>\n",
       "      <th>client_117770</th>\n",
       "      <th>campaign_117900</th>\n",
       "      <th>ad_117901</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_agency</th>\n",
       "      <th>client_2111</th>\n",
       "      <th>campaign_20171</th>\n",
       "      <th>ad_20252</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>agency_77</th>\n",
       "      <th>client_103781</th>\n",
       "      <th>campaign_103781</th>\n",
       "      <th>ad_103781</th>\n",
       "      <td>16.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"33\" valign=\"top\">no_agency</th>\n",
       "      <th>client_7875</th>\n",
       "      <th>campaign_23980</th>\n",
       "      <th>ad_23980</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_8252</th>\n",
       "      <th>campaign_24261</th>\n",
       "      <th>ad_24266</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">client_9813</th>\n",
       "      <th>campaign_25395</th>\n",
       "      <th>ad_25422</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25396</th>\n",
       "      <th>ad_25423</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25397</th>\n",
       "      <th>ad_25424</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25398</th>\n",
       "      <th>ad_25425</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25402</th>\n",
       "      <th>ad_25426</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25418</th>\n",
       "      <th>ad_25428</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25420</th>\n",
       "      <th>ad_25429</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">client_9817</th>\n",
       "      <th>campaign_25430</th>\n",
       "      <th>ad_25430</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25431</th>\n",
       "      <th>ad_25433</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25433</th>\n",
       "      <th>ad_25440</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25435</th>\n",
       "      <th>ad_25448</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_25439</th>\n",
       "      <th>ad_25451</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_9887</th>\n",
       "      <th>campaign_25452</th>\n",
       "      <th>ad_25452</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_989</th>\n",
       "      <th>campaign_17362</th>\n",
       "      <th>ad_17362</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_990</th>\n",
       "      <th>campaign_17372</th>\n",
       "      <th>ad_17372</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">client_992</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">campaign_17375</th>\n",
       "      <th>ad_17375</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17376</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17379</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">client_994</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">campaign_17381</th>\n",
       "      <th>ad_17381</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17385</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17386</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">client_995</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">campaign_17391</th>\n",
       "      <th>ad_17391</th>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17393</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17396</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17404</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17419</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">client_996</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">campaign_17429</th>\n",
       "      <th>ad_17429</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ad_17430</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>campaign_17431</th>\n",
       "      <th>ad_17431</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>client_9967</th>\n",
       "      <th>campaign_25454</th>\n",
       "      <th>ad_25454</th>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18049 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "date                                                         2019-04-01  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560          NaN   \n",
       "                                                  ad_49564          NaN   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269          NaN   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            NaN   \n",
       "                client_7        campaign_1181     ad_1181           NaN   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          7.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          24.0   \n",
       "                client_979      campaign_17074    ad_17074         28.0   \n",
       "                client_42       campaign_5822     ad_6304          15.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         3.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643        102.0   \n",
       "                                campaign_99644    ad_100220        24.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         NaN   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           5.0   \n",
       "                client_42       campaign_5822     ad_6308          24.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        16.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          NaN   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          1.0   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          1.0   \n",
       "                client_992      campaign_17375    ad_17375          2.0   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          6.0   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-02  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560          NaN   \n",
       "                                                  ad_49564          NaN   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269          NaN   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            NaN   \n",
       "                client_7        campaign_1181     ad_1181           NaN   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          3.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          19.0   \n",
       "                client_979      campaign_17074    ad_17074         22.0   \n",
       "                client_42       campaign_5822     ad_6304          20.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         3.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         76.0   \n",
       "                                campaign_99644    ad_100220        18.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         NaN   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           9.0   \n",
       "                client_42       campaign_5822     ad_6308          24.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        20.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          NaN   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          2.0   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          1.0   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          2.0   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          1.0   \n",
       "                                                  ad_17396          1.0   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          3.0   \n",
       "\n",
       "date                                                         2019-04-03  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560          NaN   \n",
       "                                                  ad_49564          NaN   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        150.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            NaN   \n",
       "                client_7        campaign_1181     ad_1181           NaN   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          4.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          22.0   \n",
       "                client_979      campaign_17074    ad_17074         24.0   \n",
       "                client_42       campaign_5822     ad_6304          17.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         5.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         66.0   \n",
       "                                campaign_99644    ad_100220        19.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         NaN   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           6.0   \n",
       "                client_42       campaign_5822     ad_6308          42.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        17.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          NaN   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          1.0   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          3.0   \n",
       "                                campaign_25431    ad_25433          1.0   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          2.0   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          1.0   \n",
       "                                                  ad_17385          1.0   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          3.0   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          1.0   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-04  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560          NaN   \n",
       "                                                  ad_49564          NaN   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        123.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387           56.0   \n",
       "                client_7        campaign_1181     ad_1181           2.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          NaN   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          22.0   \n",
       "                client_979      campaign_17074    ad_17074         33.0   \n",
       "                client_42       campaign_5822     ad_6304          11.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         NaN   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         59.0   \n",
       "                                campaign_99644    ad_100220        25.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         NaN   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           3.0   \n",
       "                client_42       campaign_5822     ad_6308          19.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        19.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          NaN   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          1.0   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          2.0   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          1.0   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          2.0   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          3.0   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          5.0   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          3.0   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-05  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560        116.0   \n",
       "                                                  ad_49564         94.0   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        112.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387           80.0   \n",
       "                client_7        campaign_1181     ad_1181          15.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          1.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          30.0   \n",
       "                client_979      campaign_17074    ad_17074         51.0   \n",
       "                client_42       campaign_5822     ad_6304          12.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         2.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         15.0   \n",
       "                                campaign_99644    ad_100220        17.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015        23.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           5.0   \n",
       "                client_42       campaign_5822     ad_6308          30.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        10.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          1.0   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          3.0   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          1.0   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          1.0   \n",
       "                client_989      campaign_17362    ad_17362          2.0   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          4.0   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          1.0   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-06  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560          NaN   \n",
       "                                                  ad_49564          NaN   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269         90.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            2.0   \n",
       "                client_7        campaign_1181     ad_1181           NaN   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          2.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          21.0   \n",
       "                client_979      campaign_17074    ad_17074         12.0   \n",
       "                client_42       campaign_5822     ad_6304           7.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         2.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643          NaN   \n",
       "                                campaign_99644    ad_100220         NaN   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         8.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           7.0   \n",
       "                client_42       campaign_5822     ad_6308          22.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          1.0   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        23.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          6.0   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          1.0   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          1.0   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          2.0   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          2.0   \n",
       "                                                  ad_17404          1.0   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-07  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560          NaN   \n",
       "                                                  ad_49564          NaN   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        121.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            NaN   \n",
       "                client_7        campaign_1181     ad_1181           7.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          1.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          31.0   \n",
       "                client_979      campaign_17074    ad_17074         14.0   \n",
       "                client_42       campaign_5822     ad_6304           6.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         2.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643          NaN   \n",
       "                                campaign_99644    ad_100220         NaN   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         9.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           3.0   \n",
       "                client_42       campaign_5822     ad_6308          23.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          8.0   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        12.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          2.0   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          3.0   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          1.0   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          3.0   \n",
       "                                                  ad_17393          3.0   \n",
       "                                                  ad_17396          1.0   \n",
       "                                                  ad_17404          1.0   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-08  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560       2897.0   \n",
       "                                                  ad_49564       1429.0   \n",
       "no_agency       client_6        campaign_387      ad_388           60.0   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        151.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387           73.0   \n",
       "                client_7        campaign_1181     ad_1181           NaN   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          7.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           NaN   \n",
       "                client_42       campaign_5822     ad_6302          28.0   \n",
       "                client_979      campaign_17074    ad_17074          NaN   \n",
       "                client_42       campaign_5822     ad_6304           9.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         NaN   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         NaN   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         83.0   \n",
       "                                campaign_99644    ad_100220        10.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         5.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         NaN   \n",
       "no_agency       client_22       campaign_2852     ad_2852           1.0   \n",
       "                client_42       campaign_5822     ad_6308          24.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          7.0   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        15.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          7.0   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          1.0   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          1.0   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          1.0   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-09  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554          NaN   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560       1854.0   \n",
       "                                                  ad_49564       1006.0   \n",
       "no_agency       client_6        campaign_387      ad_388           66.0   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        137.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387           87.0   \n",
       "                client_7        campaign_1181     ad_1181          81.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         NaN   \n",
       "no_agency       client_645      campaign_15893    ad_15944          2.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021          16.0   \n",
       "                client_42       campaign_5822     ad_6302          20.0   \n",
       "                client_979      campaign_17074    ad_17074          NaN   \n",
       "                client_42       campaign_5822     ad_6304          15.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218         5.0   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         7.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         49.0   \n",
       "                                campaign_99644    ad_100220        25.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         NaN   \n",
       "agency_77       client_103781   campaign_103788   ad_104175        13.0   \n",
       "no_agency       client_22       campaign_2852     ad_2852          19.0   \n",
       "                client_42       campaign_5822     ad_6308          21.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         9.0   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          7.0   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        19.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          4.0   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          1.0   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-10  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554        260.0   \n",
       "                                                  ad_49556          NaN   \n",
       "                                                  ad_49560       1029.0   \n",
       "                                                  ad_49564        684.0   \n",
       "no_agency       client_6        campaign_387      ad_388           70.0   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        146.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387           83.0   \n",
       "                client_7        campaign_1181     ad_1181          93.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811        23.0   \n",
       "no_agency       client_645      campaign_15893    ad_15944          9.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021          27.0   \n",
       "                client_42       campaign_5822     ad_6302          17.0   \n",
       "                client_979      campaign_17074    ad_17074          NaN   \n",
       "                client_42       campaign_5822     ad_6304           7.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218        10.0   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         9.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         49.0   \n",
       "                                campaign_99644    ad_100220        33.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          1.0   \n",
       "agency_155      client_105617   campaign_106015   ad_106015        11.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175        21.0   \n",
       "no_agency       client_22       campaign_2852     ad_2852          11.0   \n",
       "                client_42       campaign_5822     ad_6308          26.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         7.0   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          5.0   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        11.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          NaN   \n",
       "                client_8252     campaign_24261    ad_24266         14.0   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          1.0   \n",
       "                                                  ad_17379          1.0   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-11  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554       9104.0   \n",
       "                                                  ad_49556       3379.0   \n",
       "                                                  ad_49560        510.0   \n",
       "                                                  ad_49564        333.0   \n",
       "no_agency       client_6        campaign_387      ad_388          101.0   \n",
       "agency_2        client_47269    campaign_47269    ad_47269         79.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303         69.0   \n",
       "no_agency       client_6        campaign_387      ad_387           42.0   \n",
       "                client_7        campaign_1181     ad_1181          38.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811        34.0   \n",
       "no_agency       client_645      campaign_15893    ad_15944         34.0   \n",
       "agency_491      client_111056   campaign_111076   ad_111076        33.0   \n",
       "no_agency       client_23       campaign_3021     ad_3021          26.0   \n",
       "                client_42       campaign_5822     ad_6302          25.0   \n",
       "                client_979      campaign_17074    ad_17074         23.0   \n",
       "                client_42       campaign_5822     ad_6304          22.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218        21.0   \n",
       "agency_158      client_106761   campaign_106895   ad_106895        19.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         17.0   \n",
       "                                campaign_99644    ad_100220        17.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728         16.0   \n",
       "agency_155      client_105617   campaign_106015   ad_106015        16.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175        16.0   \n",
       "no_agency       client_22       campaign_2852     ad_2852          16.0   \n",
       "                client_42       campaign_5822     ad_6308          15.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901        15.0   \n",
       "no_agency       client_2111     campaign_20171    ad_20252         15.0   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        14.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980         14.0   \n",
       "                client_8252     campaign_24261    ad_24266         14.0   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-12  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554       4765.0   \n",
       "                                                  ad_49556       1478.0   \n",
       "                                                  ad_49560        193.0   \n",
       "                                                  ad_49564        145.0   \n",
       "no_agency       client_6        campaign_387      ad_388           32.0   \n",
       "agency_2        client_47269    campaign_47269    ad_47269         94.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303         41.0   \n",
       "no_agency       client_6        campaign_387      ad_387           38.0   \n",
       "                client_7        campaign_1181     ad_1181          32.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         6.0   \n",
       "no_agency       client_645      campaign_15893    ad_15944          NaN   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         5.0   \n",
       "no_agency       client_23       campaign_3021     ad_3021          28.0   \n",
       "                client_42       campaign_5822     ad_6302          18.0   \n",
       "                client_979      campaign_17074    ad_17074         29.0   \n",
       "                client_42       campaign_5822     ad_6304          19.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218        31.0   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         8.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643          3.0   \n",
       "                                campaign_99644    ad_100220         2.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         3.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175        14.0   \n",
       "no_agency       client_22       campaign_2852     ad_2852          17.0   \n",
       "                client_42       campaign_5822     ad_6308          18.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252         23.0   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        15.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          8.0   \n",
       "                client_8252     campaign_24261    ad_24266          5.0   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-13  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554       6090.0   \n",
       "                                                  ad_49556        993.0   \n",
       "                                                  ad_49560        170.0   \n",
       "                                                  ad_49564        149.0   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        119.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            NaN   \n",
       "                client_7        campaign_1181     ad_1181          34.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         3.0   \n",
       "no_agency       client_645      campaign_15893    ad_15944          NaN   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021          29.0   \n",
       "                client_42       campaign_5822     ad_6302           5.0   \n",
       "                client_979      campaign_17074    ad_17074          NaN   \n",
       "                client_42       campaign_5822     ad_6304           4.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218        16.0   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         3.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643          4.0   \n",
       "                                campaign_99644    ad_100220         2.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         7.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         7.0   \n",
       "no_agency       client_22       campaign_2852     ad_2852          15.0   \n",
       "                client_42       campaign_5822     ad_6308           NaN   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        13.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          1.0   \n",
       "                client_8252     campaign_24261    ad_24266          4.0   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          1.0   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          1.0   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          1.0   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-14  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554       3631.0   \n",
       "                                                  ad_49556        802.0   \n",
       "                                                  ad_49560        210.0   \n",
       "                                                  ad_49564        205.0   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        160.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            NaN   \n",
       "                client_7        campaign_1181     ad_1181          39.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         5.0   \n",
       "no_agency       client_645      campaign_15893    ad_15944          NaN   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021          33.0   \n",
       "                client_42       campaign_5822     ad_6302          31.0   \n",
       "                client_979      campaign_17074    ad_17074         34.0   \n",
       "                client_42       campaign_5822     ad_6304          12.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218        19.0   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         3.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643          6.0   \n",
       "                                campaign_99644    ad_100220        10.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         8.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175        14.0   \n",
       "no_agency       client_22       campaign_2852     ad_2852          22.0   \n",
       "                client_42       campaign_5822     ad_6308          19.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901         NaN   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781        10.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          3.0   \n",
       "                client_8252     campaign_24261    ad_24266          NaN   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          NaN   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          NaN   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-15  \\\n",
       "agency_union_id client_union_id campaign_union_id ad_id                   \n",
       "agency_2        client_47270    campaign_49554    ad_49554       2342.0   \n",
       "                                                  ad_49556        551.0   \n",
       "                                                  ad_49560        195.0   \n",
       "                                                  ad_49564        165.0   \n",
       "no_agency       client_6        campaign_387      ad_388            NaN   \n",
       "agency_2        client_47269    campaign_47269    ad_47269        117.0   \n",
       "agency_29       client_99239    campaign_99242    ad_99303          NaN   \n",
       "no_agency       client_6        campaign_387      ad_387            NaN   \n",
       "                client_7        campaign_1181     ad_1181          27.0   \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         2.0   \n",
       "no_agency       client_645      campaign_15893    ad_15944          NaN   \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN   \n",
       "no_agency       client_23       campaign_3021     ad_3021           7.0   \n",
       "                client_42       campaign_5822     ad_6302           9.0   \n",
       "                client_979      campaign_17074    ad_17074          NaN   \n",
       "                client_42       campaign_5822     ad_6304           5.0   \n",
       "agency_148      client_105218   campaign_105218   ad_105218        13.0   \n",
       "agency_158      client_106761   campaign_106895   ad_106895         1.0   \n",
       "agency_33       client_99583    campaign_99643    ad_99643         15.0   \n",
       "                                campaign_99644    ad_100220        14.0   \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN   \n",
       "agency_155      client_105617   campaign_106015   ad_106015         7.0   \n",
       "agency_77       client_103781   campaign_103788   ad_104175         8.0   \n",
       "no_agency       client_22       campaign_2852     ad_2852          14.0   \n",
       "                client_42       campaign_5822     ad_6308          21.0   \n",
       "agency_2170     client_117770   campaign_117900   ad_117901        12.0   \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN   \n",
       "agency_77       client_103781   campaign_103781   ad_103781         8.0   \n",
       "no_agency       client_7875     campaign_23980    ad_23980          1.0   \n",
       "                client_8252     campaign_24261    ad_24266          4.0   \n",
       "...                                                                 ...   \n",
       "                client_9813     campaign_25395    ad_25422          NaN   \n",
       "                                campaign_25396    ad_25423          NaN   \n",
       "                                campaign_25397    ad_25424          NaN   \n",
       "                                campaign_25398    ad_25425          NaN   \n",
       "                                campaign_25402    ad_25426          NaN   \n",
       "                                campaign_25418    ad_25428          NaN   \n",
       "                                campaign_25420    ad_25429          NaN   \n",
       "                client_9817     campaign_25430    ad_25430          NaN   \n",
       "                                campaign_25431    ad_25433          NaN   \n",
       "                                campaign_25433    ad_25440          NaN   \n",
       "                                campaign_25435    ad_25448          NaN   \n",
       "                                campaign_25439    ad_25451          NaN   \n",
       "                client_9887     campaign_25452    ad_25452          NaN   \n",
       "                client_989      campaign_17362    ad_17362          NaN   \n",
       "                client_990      campaign_17372    ad_17372          1.0   \n",
       "                client_992      campaign_17375    ad_17375          NaN   \n",
       "                                                  ad_17376          NaN   \n",
       "                                                  ad_17379          NaN   \n",
       "                client_994      campaign_17381    ad_17381          NaN   \n",
       "                                                  ad_17385          NaN   \n",
       "                                                  ad_17386          NaN   \n",
       "                client_995      campaign_17391    ad_17391          NaN   \n",
       "                                                  ad_17393          NaN   \n",
       "                                                  ad_17396          NaN   \n",
       "                                                  ad_17404          NaN   \n",
       "                                                  ad_17419          NaN   \n",
       "                client_996      campaign_17429    ad_17429          1.0   \n",
       "                                                  ad_17430          NaN   \n",
       "                                campaign_17431    ad_17431          NaN   \n",
       "                client_9967     campaign_25454    ad_25454          NaN   \n",
       "\n",
       "date                                                         2019-04-16  \n",
       "agency_union_id client_union_id campaign_union_id ad_id                  \n",
       "agency_2        client_47270    campaign_49554    ad_49554        387.0  \n",
       "                                                  ad_49556        912.0  \n",
       "                                                  ad_49560        254.0  \n",
       "                                                  ad_49564        265.0  \n",
       "no_agency       client_6        campaign_387      ad_388            NaN  \n",
       "agency_2        client_47269    campaign_47269    ad_47269        267.0  \n",
       "agency_29       client_99239    campaign_99242    ad_99303         63.0  \n",
       "no_agency       client_6        campaign_387      ad_387            NaN  \n",
       "                client_7        campaign_1181     ad_1181          73.0  \n",
       "agency_1589     client_116532   campaign_116726   ad_116811         2.0  \n",
       "no_agency       client_645      campaign_15893    ad_15944          NaN  \n",
       "agency_491      client_111056   campaign_111076   ad_111076         NaN  \n",
       "no_agency       client_23       campaign_3021     ad_3021           4.0  \n",
       "                client_42       campaign_5822     ad_6302          23.0  \n",
       "                client_979      campaign_17074    ad_17074          NaN  \n",
       "                client_42       campaign_5822     ad_6304          14.0  \n",
       "agency_148      client_105218   campaign_105218   ad_105218        22.0  \n",
       "agency_158      client_106761   campaign_106895   ad_106895         7.0  \n",
       "agency_33       client_99583    campaign_99643    ad_99643         33.0  \n",
       "                                campaign_99644    ad_100220        31.0  \n",
       "no_agency       client_21618    campaign_32728    ad_32728          NaN  \n",
       "agency_155      client_105617   campaign_106015   ad_106015         1.0  \n",
       "agency_77       client_103781   campaign_103788   ad_104175         8.0  \n",
       "no_agency       client_22       campaign_2852     ad_2852          15.0  \n",
       "                client_42       campaign_5822     ad_6308          18.0  \n",
       "agency_2170     client_117770   campaign_117900   ad_117901        20.0  \n",
       "no_agency       client_2111     campaign_20171    ad_20252          NaN  \n",
       "agency_77       client_103781   campaign_103781   ad_103781        12.0  \n",
       "no_agency       client_7875     campaign_23980    ad_23980          1.0  \n",
       "                client_8252     campaign_24261    ad_24266          1.0  \n",
       "...                                                                 ...  \n",
       "                client_9813     campaign_25395    ad_25422          NaN  \n",
       "                                campaign_25396    ad_25423          NaN  \n",
       "                                campaign_25397    ad_25424          NaN  \n",
       "                                campaign_25398    ad_25425          1.0  \n",
       "                                campaign_25402    ad_25426          NaN  \n",
       "                                campaign_25418    ad_25428          NaN  \n",
       "                                campaign_25420    ad_25429          1.0  \n",
       "                client_9817     campaign_25430    ad_25430          NaN  \n",
       "                                campaign_25431    ad_25433          NaN  \n",
       "                                campaign_25433    ad_25440          8.0  \n",
       "                                campaign_25435    ad_25448          NaN  \n",
       "                                campaign_25439    ad_25451          NaN  \n",
       "                client_9887     campaign_25452    ad_25452          NaN  \n",
       "                client_989      campaign_17362    ad_17362          NaN  \n",
       "                client_990      campaign_17372    ad_17372          NaN  \n",
       "                client_992      campaign_17375    ad_17375          NaN  \n",
       "                                                  ad_17376          NaN  \n",
       "                                                  ad_17379          NaN  \n",
       "                client_994      campaign_17381    ad_17381          NaN  \n",
       "                                                  ad_17385          NaN  \n",
       "                                                  ad_17386          NaN  \n",
       "                client_995      campaign_17391    ad_17391          NaN  \n",
       "                                                  ad_17393          NaN  \n",
       "                                                  ad_17396          NaN  \n",
       "                                                  ad_17404          NaN  \n",
       "                                                  ad_17419          NaN  \n",
       "                client_996      campaign_17429    ad_17429          NaN  \n",
       "                                                  ad_17430          NaN  \n",
       "                                campaign_17431    ad_17431          1.0  \n",
       "                client_9967     campaign_25454    ad_25454          NaN  \n",
       "\n",
       "[18049 rows x 16 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = uniq_csv.pivot_table(\n",
    "    index = ['agency_union_id',\n",
    "             'client_union_id',\n",
    "             'campaign_union_id',\n",
    "             'ad_id'],\n",
    "    columns = 'date',\n",
    "    aggfunc = 'size').sort_values(by = '2019-04-11', ascending = False)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Из нее следует, что **клиент 47270** (client_47270) из **агенства 2** (agency_2) запустил **кампанию 49554** (campaign_49554), из которой **объявление 49554** и принесло такой всплеск просмотров 11 апреля (на втором месте объявление 49556).<br>\n",
    "# Определение выброса\n",
    "Для определения выброса на любом временном участке будем использовать **медиану M** (потому что среднее сильно зависит от каждого значения => выброс повлияет на него, а этого нам не надо) и **стандартное отклонение σ.**<br>\n",
    "В качестве предела для определения выброса в ту или иную сторону (резкий спад активности — может, что-то сломалось?) **для всего графика** возьмем пороговое значение равное **±2σ.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x̅: 7560.1  (среднее по выборке)\n",
      "M: 7255.0  (медиана)\n",
      "σ: 3432.5  (стандартное отклонение)\n"
     ]
    }
   ],
   "source": [
    "df = uniq_csv.groupby(['date'])['event'].count()\n",
    "\n",
    "sd = round(df.mean(), 1)\n",
    "M = round(df.median(), 1)\n",
    "sigma = round(df.std(), 1)\n",
    "\n",
    "print('x̅: %s  (среднее по выборке)' % sd)\n",
    "print('M: %s  (медиана)' % M)\n",
    "print('σ: %s  (стандартное отклонение)' % sigma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_zscore = (df - M) / sigma\n",
    "df_zscore = df_zscore.to_frame()\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "ax.plot(df_zscore,\n",
    "        linestyle = '-', color = '#4680C2',\n",
    "        marker = '.', markersize = 8, markerfacecolor = '#4680C2')\n",
    "\n",
    "ax.xaxis_date()\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%b %d'))\n",
    "plt.title('Z-распределение количества действий')\n",
    "plt.xlabel('Дни')\n",
    "plt.ylabel('Z-значение')\n",
    "plt.grid(which = 'major',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.grid(which = 'minor',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Выделим данный алгоритм в отдельную функцию и попробуем его на предложенных данных.\n",
    "В качестве аргументов функции будут использоваться сам график с уникальными данными, модуль порогового Z-значение (по умолчанию |±2|) и период проверки в минутах (по умолчанию последние 60 минут)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "def check_df(df, edge = 2, period = 60):\n",
    "    # реальные данные, берем текущее время\n",
    "    # end = int(datetime.now().timestamp())\n",
    "        \n",
    "    # в нашем случае данные за определенный промежуток,\n",
    "    # поэтому выберем последнее время из него\n",
    "    end = int(df['time'].max())\n",
    "    start = end - period * 60\n",
    "    df = df[(start <= df.time) & (df.time <= end)]\n",
    "    \n",
    "    \n",
    "    # если анализируемый период больше суток,\n",
    "    # группируем по дням\n",
    "    if period > 1440:\n",
    "        df = df.groupby(by = ['date'])['event'].count()    \n",
    "    # если больше часа,\n",
    "    # по часам\n",
    "    elif 60 < period <= 1440:\n",
    "        df = df.groupby(by = [\n",
    "                              df.time.map(lambda i: i % 86400 // 60 // 60)\n",
    "                             ])['event'].count()\n",
    "    # иначе по минутам\n",
    "    else:\n",
    "        df = df.groupby(by = [\n",
    "                              df.time.map(lambda i: i % 86400 // 60 % 60)\n",
    "                             ])['event'].count()\n",
    "\n",
    "    sd = round(df.mean(), 1)\n",
    "    M = round(df.median(), 1)\n",
    "    sigma = round(df.std(), 1)\n",
    "    \n",
    "    df_zscore = (df - M) / sigma\n",
    "    df_zscore = df_zscore.to_frame()\n",
    "    \n",
    "    response = []\n",
    "    if (df_zscore.event >= edge).any():\n",
    "        response += [df[df_zscore.event >= edge]]\n",
    "    if (df_zscore.event <= -edge).any():\n",
    "        response += [df[df_zscore.event <= edge]]\n",
    "    \n",
    "    if response != []:\n",
    "        return {'response': True,\n",
    "                'df': pandas.concat(response, axis = 1),\n",
    "                'df_zscore': df_zscore,\n",
    "                'sd': sd,\n",
    "                'M': M,\n",
    "                'sigma': sigma}\n",
    "    else:\n",
    "        return {'response': False,\n",
    "                'df_zscore': df_zscore}\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Попробуем алгоритм на предложенных данных. Будем анализировать последнюю неделю (начиная с 10 апреля)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Есть выброс\n",
      "                   event\n",
      "date                    \n",
      "2019-04-10 -0.4103384682\n",
      "2019-04-11  2.4547081796\n",
      "2019-04-12  0.5508244739\n",
      "2019-04-13  0.6009980473\n",
      "2019-04-14  0.0000000000\n",
      "2019-04-15 -0.3143306574\n",
      "2019-04-16 -0.2253742677\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = check_df(uniq_csv, period = 10080)\n",
    "if result['response'] is True:\n",
    "    # пишем аналитику, что у нас выброс\n",
    "    print('Есть выброс')\n",
    "    print(result['df_zscore'])\n",
    "else:\n",
    "    # все ок, выбросов нет\n",
    "    print('Выбросов нет')\n",
    "\n",
    "    \n",
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "ax.plot(result['df_zscore'],\n",
    "        linestyle = '-', color = '#4680C2',\n",
    "        marker = '.', markersize = 8, markerfacecolor = '#4680C2')\n",
    "plt.title('Z-распределение количества действий')\n",
    "plt.xlabel('Время')\n",
    "plt.ylabel('Количество действий')\n",
    "plt.grid(which = 'major',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.grid(which = 'minor',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Настраиваемый период позволяет анализировать данные как по дням, так и почасам / минутам. Благодаря этому можем проанализировать как прошедшие сутки:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Есть выброс\n",
      "             event\n",
      "time              \n",
      "0.0  -1.2891874600\n",
      "1.0  -1.9225847729\n",
      "2.0  -2.0953294946\n",
      "3.0  -1.9097888676\n",
      "4.0  -1.7754318618\n",
      "5.0  -1.4427383237\n",
      "6.0  -0.9436980166\n",
      "7.0  -0.1887396033\n",
      "8.0   0.0927703135\n",
      "9.0  -0.0415866923\n",
      "10.0  0.0415866923\n",
      "11.0  0.5022392834\n",
      "12.0  0.6110044786\n",
      "13.0  0.1375559821\n",
      "14.0 -0.1823416507\n",
      "15.0 -0.2335252719\n",
      "16.0  0.5022392834\n",
      "17.0  0.4574536148\n",
      "18.0  0.4638515675\n",
      "19.0  0.6429942418\n",
      "20.0  1.4363403711\n",
      "21.0  1.0524632118\n",
      "22.0  0.0863723608\n",
      "23.0 -0.2847088932\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = check_df(uniq_csv, period = 1440)\n",
    "if result['response'] is True:\n",
    "    # пишем аналитику, что у нас выброс\n",
    "    print('Есть выброс')\n",
    "    print(result['df_zscore'])\n",
    "else:\n",
    "    # все ок, выбросов нет\n",
    "    print('Выбросов нет')\n",
    "\n",
    "    \n",
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "ax.plot(result['df_zscore'],\n",
    "        linestyle = '-', color = '#4680C2',\n",
    "        marker = '.', markersize = 8, markerfacecolor = '#4680C2')\n",
    "plt.title('Z-распределение количества действий')\n",
    "plt.xlabel('Время')\n",
    "plt.ylabel('Количество действий')\n",
    "plt.grid(which = 'major',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.grid(which = 'minor',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Так и прошедший час:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Есть выброс\n",
      "             event\n",
      "time              \n",
      "0.0  -0.8333333333\n",
      "1.0   0.4166666667\n",
      "2.0  -0.4166666667\n",
      "3.0   0.0000000000\n",
      "4.0   0.8333333333\n",
      "5.0  -0.8333333333\n",
      "6.0  -0.8333333333\n",
      "7.0  -1.2500000000\n",
      "8.0   0.4166666667\n",
      "9.0   0.0000000000\n",
      "10.0  0.0000000000\n",
      "11.0  0.0000000000\n",
      "12.0  0.0000000000\n",
      "13.0 -0.8333333333\n",
      "14.0 -1.6666666667\n",
      "15.0 -0.8333333333\n",
      "16.0 -0.8333333333\n",
      "17.0 -0.8333333333\n",
      "18.0  2.0833333333\n",
      "19.0 -2.0833333333\n",
      "20.0 -0.8333333333\n",
      "21.0  0.0000000000\n",
      "22.0  0.0000000000\n",
      "23.0 -1.2500000000\n",
      "24.0 -1.2500000000\n",
      "25.0 -0.4166666667\n",
      "26.0 -1.6666666667\n",
      "27.0  0.0000000000\n",
      "28.0  0.4166666667\n",
      "29.0  2.0833333333\n",
      "30.0 -1.2500000000\n",
      "31.0  1.2500000000\n",
      "32.0  0.8333333333\n",
      "33.0  0.0000000000\n",
      "34.0 -1.2500000000\n",
      "35.0  0.0000000000\n",
      "36.0  0.4166666667\n",
      "37.0 -0.4166666667\n",
      "38.0  0.0000000000\n",
      "39.0 -1.6666666667\n",
      "40.0 -0.8333333333\n",
      "41.0  1.2500000000\n",
      "42.0 -0.8333333333\n",
      "43.0  0.8333333333\n",
      "44.0 -1.6666666667\n",
      "45.0 -1.2500000000\n",
      "46.0  0.4166666667\n",
      "47.0  0.4166666667\n",
      "48.0 -1.6666666667\n",
      "49.0 -0.8333333333\n",
      "50.0  0.0000000000\n",
      "51.0  0.0000000000\n",
      "52.0 -0.4166666667\n",
      "53.0  0.0000000000\n",
      "54.0 -0.8333333333\n",
      "55.0 -1.2500000000\n",
      "56.0  0.8333333333\n",
      "57.0  0.8333333333\n",
      "58.0  0.0000000000\n",
      "59.0  2.5000000000\n"
     ]
    },
    {
     "data": {
      "image/png": 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k4twiIqJ2iSTyCA4zkDWNiEyJyPdF5JCIPCYiv9OpsRARrWRyzFP5WmTp90StWDK3wLlFRETmS+eKyORLCI44Oz0U03UyI1sE8LtKqV0AdgN4t4js6uB4iIjOceveXbBZteYImwNu3LqXb1Nkjlv37oLLrn0M+4fsnFtERGS6ft1DFuhgsyel1CyAWf3rhIj8AsBmACsuEiqXy0ilurf0Kp3u3rFRd+Ac6T1eB+CyW5AslXDLay+A16Ha/j7EeTIYvA5gdMiO2VgOL7lkrKG5xTlC9eA8obVwjvS/k2cSAACPvfnjl26dJ12xRlZEtgK4HMC9NX52o4jcJyL3hcPh9R4aEQ24QqmMZLYEAEjlSh0eDfWTQqmMuXgOALCYKXZ4NERE1I+iSS0jGxi2d3gk5uv49jsiMgzgqwDep5RaXP5zpdTtAG4HgKuuukoNDXX/GqJeGCN1FudI74gkcpWvy2Jb19eO86S/ndC7YQNApqCaer05R6genCe0Fs6R/pXMRwAAk+NeeJythX7dNk86mpEVETu0IPaLSql/7+RYiIhqWUgWKl8bmVkiM4QiWqmW02ZBPM2MLBERmS+SyMPjsLYcxHajTnYtFgCfBfALpdRfd2ocRESriaXOBrKpLIMNMs9MOAMAmN48gkSmsMZvExERNS6SyCPQh42egM5mZJ8L4I0AXiQiD+r/ruvgeIiIzrGQyle+TuUYyJJ5ZiIZBIbtmBh1IZ5mIEtEROaLJvJ92bEY6GzX4v8Hbes8IqKuVZ2RTTIjSyYKhdOYHPPA57ZhkaXFRETUBpFEHrumRjo9jLboiq7FRETdKp4qwG4VuB1WpLhGlkwUimQwGXTD67EjXywjW+D8IiIi8yilEEnkEBxxdnoobdF/q36JiEy0kMrDP+SAgmJGlkwTTxeQyBQxFfTA7bQCABbTBbh81g6PjIiI+kUiW0ShpLhGlohoEMVSBYwO2zHssnGNLJkmFNY6Fk+OueHzaOeUWV5MRERmiia0Ph9jDGSJiAZPLJmHf8iOIaeNXYvJNEbH4smgGyNubZN6NnwiIiIzhRe1QLZfmz0xkCUiWkUsVYB/yIEhl437yJJpQpEM7FbBhN8Fn0cLZBcZyBIRkYkiiRwA9O0aWQayREQrUErpgawdwy4rM7JkmplIGpsCblgtAq9RWpzh/CIiIvNE9NJirpElIhowyWwRxbJiaTGZLhTOYHLMDQCV0mJmZImIyEzRRB4jbhsctv4M+frzURERmcDYQ3a0UlpchFKqw6OiXlcslTG7kMVk0AMAsFoEwy4bA1kiIjJVJJnv2/WxAANZIqIVGYGsb0jrWlxWQK5Q7vCoqNfNLmRRKitMBd2Vy7weG0uLiYjIVJEEA1kiooEUS2lrS0aHHRhyaft7ci9ZalUoonUsnho7G8j6PHZ2LSYiIlNFEjkE+rTRE8BAlohoRUZG1j9kx5BLa8jDQJZaFTK23hnzVC7zeuxIMJAlIiKTlMoK0US+b/eQBRjIEhGtaCFZgEDLlg3rgWwqxy14qDWhSFrvhG2rXOZ12xBP8yQJERGZI54uoKz6dw9ZgIEsEdGKYqk8vB4brBbBkFMrLWbnYmrVTCSDyar1sYCWkV3MMCNLRETmMLbeYSBLRDSAYukCfEPaBwBLi8ksoXC60rHY4HXbkSuUkS0w409ERK2LJHIAwDWyRESDKJYsYHRI2+OzUlrMQJZasJgpIJ4uLmn0BGhdiwFgkeXFRERkgigzskREgyuWKsCvB7JDlUCWGTNq3tlGT0sDWZ9Hm2cJlhcTEZEJIok8BKickO9HDGSJiFawkMrDr5cWO2wW2K3C0mJqSWXrneWlxXogyy14iIjIDJFEHv4hO2zW/g33+veRERG1IF8sI50rVTKygFZenMoxkKXmhcJp2CyC80ZdSy5naTEREZkpksgj6O3f9bEAA1kiopqq95A1DLlsXCNLLZmJZLAx4ILVIksu97q1ebbIjCwREZkgksj19fpYgIEsEVFNsZTWJGF0+OyHwJDLhiTXyFILQuE0psY851w+4jYysgxkiYiodZFEHsFhBrJERAOnVkZ22GVFmqXF1KRSWeFUNHvOHrIAYLNaMOyyYTHD+UVERK0plsqIpQrMyBIRDaKFpJaRrQ5kPU4bmz1R007HsiiWVc1AFtCysmz2RERErYomtc+SAANZIqLBY2RkR4fOfggMc40steDs1jvnlhYD2hY83H6HiIhaFU3kAADBETZ7IiIaOLFUAU67BS6HtXKZFshyjSw1ZyacBgBMrZCR9XpsiLNrMRERtSiS0KrKWFpMRDSAYqn8kmwsAHicVuSKZeSL5Q6NinpZKJKB122r7Bm7nNdjZ7MnIiJqmRHIjnkZyBIRDZxYqrBkfSygZWQBsOETNSUUqd2x2OB1M5AlIqLWhRN5WC2y4onTfsFAloiohoVVAlmWF1MzQuHMio2eAK20OFtgxp+IiFoTTeQQGHbAIrL2L/cwBrJERDXEU3n4l5cWu7T1suxcTI1KZotYSBUwObZyIOvTz5wzK0tERK2IJPJ9vz4WYCBLRHSOslKrlhYzkKVGhfRGT5PBlUuLR9zafOMWPERE1AoGskREAyqRKaKsgNHhlUqLGchSY2YixtY7q2VktfnFjCwREbUiksj3/R6yAANZIqJzxFJat7/lGVmPUw9kc1wjS40JhTOwWgSbRl0r/o7RlGMxwxMlRETUnFyhhGS2yIwsEdEgWkhqGbHla2SHuUaWmhSKpLFx1AWbdeWPXS/XyBIRUYuiSWMPWWeHR9J+DGSJiJaJpYxAdmlG1u2wwiIsLabGhSKrdywGAK/bKC3m/CIiouYYe8gOQkbW1ukBEBF1m/gKpcUigiGXjYEsNaRUVjgZyeCqC0ZX/T2b1QKP09q2jOzsQgb79h9CKJzG5JgHt+7dhY2jqwfXNHg4T4h6W3hxcAJZZmSJiJZZSBVgEdTcSHzIaeMaWWrIfDyLQklhcmzljsUGn8eOeKY9gey+/Ydw4kwaZQXMhNPYt/9QW+6HetsHv/Ao5wlRD4syI7uUiLy21uVKqX83dzhERJ0XSxXg89hrbiQ+7LJyjSw1JBTWOhZPrdKx2OD12NtWWmxsAQQASi39nshwaiFb+ZrzhKj3RBI5OGyWyk4L/WzVRygi1yqlfgjgXwEcAnA/AOPITgFgIEtEfWchlT+nrNjA0mJqVGXrnTXWyALaOlljjbbZJsc8OHHmbFCyOcByUTqX32PHgj4HRVBXJQERdY9IUttDVmqcjO83a5UW/6n+/zMBHAYwDODPlFI3KKV+u60jIyLqkHiqAP9w7ZIcBrLUqFA4jWGXDb4aperLeT12LLaptPgDvza95PtdU9623A/1tqt3BipfT+lrZImodwzKHrJAnWtklVKHlVKvA/DnAP5aRD4jIpvbOzQios6IpQqrZmSTWa6RpfrNRDKYGnPXdXbc67a1rbTYrm/98/7XTuO6K87Ddx6awxOnk225L+pdab0HwMXne/GZm65koyeiHhNN5AdifSywdiD7hwAgIp8QkY8DeDOA4wCuAXC0zWMjIuqIhWQeo0O1PwSGnVakcszIUv1C4bW33jF4PXZk8iXki2XTx1HdAOSGX96KEbcdn7jrGMpKmX5f1LvmYtkl/xNRb4kk8hgbgD1kgTUCWaXUD/Qv74O2PvZ+/euPAXhXW0dGRNQB2XwJ2UJ51YxsOldCqcyDf1pbKldENJnHVJ3rDI3y40Qbyour9xb0uu14+0u24RehBL71wJzp90W9ay6WA6Cd+CiUzD+hQkTtk84VkcmXBqa0uK52Vkqpf2r3QIiIuoHRaGe1QBbQPixG3GuveaTBdrKBRk8A4PVo8yueLiJo8hn1SEILUAL6+u9fvnQc33zgND7730/iORcF61rDS/0tWyghni5gU8CFU9Eswos5lhYT9ZDwAG29A9S5RlZEHq71r92DIyJab7GU9iHgX6m0WA9kuZcs1cPYemeyjq13gLN7Fy+m25OR9Tis8Di1OSwiuPn6HUjnSrjjO0+afn/Ue+b1bOwlW3wAzmZniag3DNIeskCdgSyAhwGUAHwQwKuq/hER9ZU1M7JOKwCwczHVZSachkVQd1bL625vIBv0Lj242To+hNfu3oxvPziHR0/ETb9P6i1zcW1d7DP1QHY+zkCWqJdEGMieSyn1WwDeCOCtAD4CwKKUerrVOxeRz4nIvIg82uptERGZwdg/cXR49dLiJANZqsNMJIMJvwsOW33njY2MbLwNgexKnSx/69rzscHrxCfuOoYi10QONCMD+8zzvRCw4RNRr1m+hKTf1VtaHABwCsBvA/gygK+IyG0m3P/nAbzchNshIjKFUVq80nrBSmkxt+ChOoQimbobPQFn18gmMuafKAkncjXX3bocVtz0iu14aj6Nr917yvT7pd4xH8vCahGM+1wIjjgwx4wsUU9ZvoSk39X7KO8HYLToNDbCu67VO1dK/UhEtrZ6O0REZoklC/A4rHDarTV/PuRiaTHVp6wUTkUyuHybv+7r2K0WeBxW0zOySilEE/kVz9LvmQ7imp0BfOEHT+Paizdg3DcYWzfQUnPxHDZ4nVow63dhnhlZop4SSeQHpmMxUH/X4m3tHkg9yuUyUql0p4exonS6e8dG3YFzpPuFFzPweWwrvtdISQtgo4vptr0fcZ70h/l4DrliGeMj1obmyojbioVEdtXrNDpHEpkiCiWFESdWvN0brt2E9x5fwG13HcH7X3NBQ7dP3anReTIbTWNsxI5UKo3gsA1HTiW7+riLWsfPm/5yJp7B6NDKxzDN6tZ5Um9p8Xki8koRcYnIB0Tkr0RkS7sHp9/3jSJyn4jcFw6H1+MuiWiAxdPFSnlnLR692VOaXYtpDSejWjZrc8DV0PWGXTYsps3N+EeTWoZ3tXVT4z4nfmPPRtx7NIb7nmDjp0F0ZjGPDXpDsA1eB8KJPPfMJuoh0UQBgRV6fPSjekuL/x1AGFqjp/8EMAfgTgDPbdO4KpRStwO4HQCuuuoqNTRU/1qjTumFMVJncY50r8VMCZNB96qvkdthRb5safvryHnS28KpBQDAjslRDK2wnVMtoyNOLKYLdb3+9c6R9Ky21nHT2PCq19l77Tb86BcL+Nz3Q7jmGeNwrVBiT72lnnmSL5axkCxgcmwIQ0MeTG0YRqkM5JQNG4ZYat7v+HnT+5RSWEgVMO73tO317LZ5Uu/2O16l1KsB+JRSf6SU+ksA3fVIiIhMEEsV4Fth6x3DkMvKrsW0plA4A4/TitE15tNyPo/d9Iys0cmyVrOnanarBe+5bgdOx7L40o9nTB0DdbczizkoAON+rYJg3Kf9z87FRL3BWEIyKFvvAPUHslYRuQJATkQuF5ErATRWK1WDiOwHcADAtIiEROStrd4mEVGzSmWFxXRhxT1kDcMuG1I5BrK0uhm9Y7GIrP3LVUbcNtP3kTX2FqynCchl2/x48SXj+MpPQjgR7s51UWQ+o7GT0ehr3O/UL2fnYqJeMGh7yAL1B7JzAD4GYBbAXwP4KwCnW71zpdRepdRGpZRdKTWplPpsq7dJRNSsxXQBCsDoGmWgQ04buxbTmkKRNCaD7oav5/PYkc6XUDBxT9doIg+v21b3frZvf8k2uBxW3HbXMSjFNZKDYF7fauc8PSM7oQe0p5mRJeoJgxjI1rtG9vVKqZYDVyKibhZLaVmwtTKyQy4bosn8egyJelQmX0J4Md9UIDvi1j6aF9NF0w5Iwol8Q7c1OuzAW160Bbfd/QS+/+gZvOhZ46aMg7rX6VgWFgHG9GZPTrsV/iF7JcAlou5W7xKSflJvRvbuto6CiKgLLKS04HR0lc6uADDssjIjS6sKRTIAgKmx5jKyAEwtL44kcgg0eHBz3ZUbsXPTMG7/1nGuCR8A8/EcAiMO2KxnDw3HfU7Mx5mRJeoFjSwh6Rf1ZmRpgM0uZLBv/yGEwmlMjnlw695d2Dja+MEZUbczMrJrNntiaTGtIaSvLZ0MNt4X0WsEshnzAtloIo+t40MNXcdqEbz3+h24+TMP4s1/9zOkc0V+BvSx+VgOE/6l7U8m/C48OZdq233y+IL6RbNz2cy/gUaXkPSDegPZS0Rksep7AaCUUt42jIkJf/cqAAAgAElEQVS6zL47H8NMOAMFYCacxr79h/CZm67s9LCITNdIaXEyW4RSquFGPjQYQpEMBMDmJkqLvSZnZEtlhWiysdJiw4WbRirzHeBnQD+bi2Vx8flLD+smfE7ceyTatve6ffsPYeZMmscX1POq5/KJM2nc/JkH8bLLJta83rcenEMiY877a6NLSPpBvYHsI0qpy9s6EupaMxEtiAUApc5mGoj6TSyZh9UiGHGt/tY47LKhrIBsoQy3g/ts0rlCkQwm/K6mzoz7PGfXyJohni6grJpvAJKu6tDNz4D+VCornFnMVbbcMYz7XcgXy4ilCmsuuWhGKJzm8QX1heq5DGhb4fznfbNrXi9XONvUr9W/gWaWkPQ6lhbTmjwOK1K5EgBABJgc4xbC1J9iKW3rnbUyD0MuLXhNZYsMZKkmrUysufKwEbeWkY2blJE928myuQOcyTEPTpzRDq74GdCfIokcygqY8C+dI8b3c7FsWwJZzi3qF5uDbsyEtd4IIsDUmKeuzOrbP3m/aX8DzSwh6XX1nir+tbaOgrpWqaxQfUg/pdfvE/WjhVQBo2uUFQNaaTEANsChmspKYSaSaapjMQA4bBa4HVbTSovPdrJsLhC5de8ujOnXHfc5+RnQh+b0vWLPWSOrZ2jn2tS5+AO/Nl35ejLg5tyinvXuV+wAcDaIrXcu37p3V+W4Y6Pf1fTfQCtLSHpZvYHsh0TEb3wjIqMi8rk2jYm6yKGZRSRzJThtFmwb184usRED9atYKg/fGnvIAlppMQA2fKKawot55ArlpgNZAPB6bFjMmDO/oi3uLbhx1I1P33QlrBbBtRdv4GdAH5rT94od9y3NyI7rGdn5WHsC2VLpbDHmh17PRk/Uu5ReWPznb3pWQ8fKG0fd+Nu3XQYAeOWzNzb9N9DqEpJeVW8ge4lSKmZ8o5RaAMA1swPgwOEIbBbBiy4ZRyiSQams1r4SUY+K66XFaxly6qXFesk9UbVQRCsTm2qhRMzrtpuWkQ0v5iFYe1up1Qy7bLhkqw8HDkdMGRN1F2Ov2OWB7JDThmGXrRLoms0oxQTOlsAT9SLjZM/EsnXm9TjP78K2iaGW3l9bXULSq+oNZC0iMmp8IyIBcH1t31NK4cDhCC7d5sfOTcMolBTOcGN06lNKKZYWkylC4eb3kDV4PXbTMrKRRB6jw3ZYLa11nd2zM4CZcKYSqFP/mItlMTpkh9N+7pr/Cb+zbaXF1Y1togxkqYfNxbKwCDDmbe6E4Z6dATx2YrHpE5itLiHpVfUGsh8DcEBE/kREPgLgHgB/0b5hUTeYiWRwKprFnulAJbMwwwMY6lOZfAn5Yhl+lhZTi0KRDNwOKwItZEC9HptpGdlo0pxOlrungwCAg4ejLd8WdZe5eA7j/tqZpHGfq30Z2UimcvKQGVnqZXPxHIIjTtisze3huueiIMoKuPdoc++vkcXWlpD0qrqebaXUPwN4LYA5AKcBvFYp9S/tHBh13oHHtRKH3dPBylqvUFUZEFE/WTD2kB2uPyObyrK0mM41E05jMuhuad9Nn9tuatdiMw5uJvwubG+x/I2601wse07HYsOE34n5eA5Kmb+0KBTJ4MJNI3A7rJWMElEvmo9nK2vKm7Fj4zCCIw4cbPL9NZJofQlJL6orkNVLiU8DuFP/d1q/jPrYwSNR7Ng4jA1eJ/xDdgy7bAhFGMhSf4oZgWwdpcUOmwV2q7C0mGoKRTJNb71j8HrsSOdKKJbKa//yGiKJPIImHdzsng7g0MyiaUE2dV5ZacuGVlrbN+FzIZMvIWHy+11ZKZzUu3sHRxyIJJmRpd41F8vhvBWqGuphEcHunQHcd2wB+WLj7/tmLSHpNasGsiKyQf8yDOAxAPcBuF//d197h0adFEvl8YuZRezZqZ2vEBFMBt2Y4Wbl1KfiKe0gqp7SYkArL2ZpMS2XLZQwH89hKtjafphej5b1b3WdbLFURixVQLDJdVvLPWdaK3/76RGWF/eLhWQBhZJaNSMLnN2ixyzz8RzyxTKmxtwIjDhYWkw9q1RWCC/mzmmW1qg900FkC2U89GRs7V9exqwlJL1mrYzsfv3/GwGEoK2VvVAptU0ptb2tI6OOuvdIFApazb5hcszNjCz1rYWklmGqp9kToJUXp3IMZGmpk/p7pBkZWQAtr5ON6vParE6WRvnbgSMsL+4XZ7feWWGNrJ5lmjd5nayxVGky6MbYiKOyxo+o14QXcyirc7t+N+rSbX647Jamlm+YtYSk16wVyI4AgFLqDgDPA+AE8BMReUO7B0addeBwFOM+J7ZPDFUumwy6EUnkkebBO/Uho7TY10Agm+QaWVrGONnXyh6yAOB16xnZVgNZkztZil7+dn+T5W/UfebjWoC6YkZWPzg3u3Ox0f16csyD4IgTkUR71uEStZtxMmiihdJiQFu2dNWOURw8Em34b8HMJSS9pK6MrIi8FsD1AJ4C8CkA7xeRh9o7NOqUbKGEnz+xgN07A0ualUzqpXInmZWlPrSQymPYZYO9zo6Dwy4rS4vpHMbyi82tBrJ6Rjaebm2OhRPmd7Lcc5FW/vZgE+Vv1H2MkuGVskkjbhvcDqvpnYtD4QyGnFaMDtkRGHGgUFKmr8MlWg/GSZ6VTgY1Yvd0EJFEHkdnk3Vfx+wlJL1k1SM2pdTf6l++qurfC6Ctkf15e4dGnfLg8RhyxXJlqwWDsSfiDANZ6kOxVKGuRk8Gj5OlxXSuUCSDcZ8Trhr7cTbCpweyiUxrGdlIGwLZS7f64XZY2b24T8zFshhx2+Bx2mr+XEQw7tM6F5tpJpLB5JgHIlKZn9xLlnrRfOVkUGsZWQC45sIALIKG3l/NXkLSS2q/ay2jlLqh3QOh7nHgcBQepxWXbPUtuXxTwA2LcAse6k/xBgNZNnuiWkLhTOWkXyvOZmRbD2StFqncnhkq5W+Ho7j5egVLC9sMUefNx3OV8uGVTPid5q+RjaRx6VY/gLMnWiKJPLaOD612NaKuMxfLIjBsh8PW3B6y1bweOy4+34sDh6N48y9tres6EZOXkPSSerff2Ski3xWRR/XvLxGRW9o7NOqEslK490gEz94xek6JpcNmwYTfhZkIOxdT/1lI5Rvaf22Ya2RpGaWUtvVOix2LAe391mW3YLHF0uJoIofAsMP0YHP3zgCiyTyOnqq//I2601w8t+bavgmfC6dN7FqcyZcQXsxX1pJXB7JEvWYunjMlG2vYvTOIJ+dSOF3nyaN2VN70inpPHXwGwB8AKACAUuphAK9v16Cocw6fTGAhVTinrNgwGXQzI0t9KZYqwN9A1srjtCJfLLPhDVVEk3lk8qWWGz0ZvB47Fk0oLW7Hwc3VevnbQZYX9zSlFOZi2TW7rY77nUhmi6YtpzCaohnVC4FhI5A1t3yZaD3MxbKmrI817NGPwe+t8/2VgezaPEqpny67jDV1fejA4SgsAjx7x2jNn08G3TgZyaDMzoLUR4qlMhKZIvzDjZUWA2AXb6qYCZuz9Y7B67G33LU4ksi3pQGI12PHM8/3cZ1sj1vMFJErlCtb7KzEyDbNm5SVDelN0abGtOoFp92KYZeNGVnqOWVl7CFrXkZ2c9CN88fcuOdwfft1t2MJSa+oN5ANi8gFABQAiMivA5ht26ioYw4cjuCSrT6MuGv/MUyNeZArlhFe5FlT6h/GOkT/UGOlxQCQ5DpZ0hkdi80oLQYAn8fWcmlxO7dk2D0dwJPzaZxeMHftJK0fY93reWtkk4yfz8XNea1DkQwEWu8Nw5jXwUCWes5CMo9CSZmakQW07sWPPB2v6xijXUtIekG9gey7AXwawEUichLA+wC8q22joo44Gc3gxJk0du+sXVYMnM00zLC8mPqIsYdsQ12LXVpX2hTXyZIuFMnAabdgzKQM6Ijb3lKzp1yhhGS22LZOlkb5G7Oyvet0nd1WjYytaRnZSAYTfteS5jjBEQay1HuMv6FW95Bdbs90EKWyws+Orp2VjSTypn3u9Jq6Alml1HGl1C8D2ADgIqXU85RST7V1ZLTujLVOe1ZYHwuczTQYZUFE/WBBb10/2mDXYoAZWTorFMlgKug27ay4z2NHItP8/Gr3uqlNATfO3+DBwSMMZHvVvJ5hHV8jm+QfssNuFdP2kp0Jp88pwQ+MOLlGlnqOUdWw1jrzRk1vHoF/yI6DR+oLZAMDuD4WqHP7HRG5Ytn3APCXACIA/kYpdcD8ofW/2YUM9u0/hFA4jckxD27duwsbR81ZW9WMg4ej2DbuwXmjK59VCgzb4XFY+2Yv2dmFDPbd+ZjWabQLXgPqjFhKO+BvprSYW/AQoL2XPHA8hlJZ4e2fvN+U9xKv24ZktohiqQybtfFtHYxAtp0HOHt2BvCVe0JIZAorLknpZoP+GTAfy8HjsGLEtfrhoEUEE34X5kzYS7asd/d+1palW/wFhx2IJvIoq+7a0qn6WG1TwIXf/9XpurJvc7Es/uJrh3Eqmh3IuTUojP2Vzc7IWi2C3TsD+PGhMAql8jk7iVSLJPK4dNmWmYOirkAWwA8B/AxA9TvLlUopr/lDGhz79h/CzJk0FLSzk/v2H8JnbrqyI2NZTBfw6Ik4fvN5U6v+nohgcsxd6TjY6z74hUdxMqqdTev0a0Cds2CUFjfQ7GnICGRzLC0m7b2kVNaa4Jn1XmI07khkig1tDWVYj06Wey4K4l9/EsLPji3gRc8ab9v9tMstX3wUocjgfgacjmcx7ncaCYpVjfuclYP2VoQX88gVypVGT4bgiANlpe3p3cx8b5fqY7VQJIv33vFQw7cxiHNrUJyOZeF12+B2WE2/7d3TQXzzgTk88nQcV2yv3YQ12+YlJN2u3kD2mFLqRdUXiMgDbRjPQAmFtTdGAFCqs+W6Pz0aRVmtXlZsmBrz4OGn4uswqvY7VdWkpNOvAXVOPFWA3SrwNPBBNOTUfpelxQSgckIMMO+9xAhkFzPNHdhH1yGQrZS/HY70ZCBrBLHAYH4GzMfq77Y67nOZUkYeihhN0ZZmJ6v3ku2mQLb6WA0ARICbXn7Bmtf75DefgLHBwyDOrUExH8+t2fW7WZdv98Nps+Dg4eiKgex6vM93s3oD2YCIvAHAAoAZpdQjALj/Sosmxzw4cSa95PtOOXgkisCwAxduGl7zdyeDbnz34Xlk8yW42nAGaj35PPZKox+gs68BdU4slYd/yFFXVsLgdlhhEZYWk3YisJqIOe8lXo/2Ed1s5+JIIgeHzVIpg28Hi2jlbz+qo/yt2zzy9NITsma9br1kPp7DxefXV1w34XciliogVyjBaW/+s9/Yi35qbOVAdsfGpm/edNXHaiLayfxXX71pzev9532zS643aHNrUMzHsudUF5jFZbfi8gv8OHA4gne9fHvNY5T1WELSzer9xPk6gOcCeD2AT4rIMQBb2zWoQfH+105XvrYI8KHf3NWRceSLZdx3bAG7dwbqWpdinEU9Ge398uJLtnhhkbM182/5pS0dHQ91xkKqgNEGyooBrcx+yGVjRnbAZQsl/P3dT2DTqBNTY25Y9APdW/e2/n7uMzKyTXYujiTzCI40doKmGXumg0jnSj1VqVMslfGJu44hOOLAeXo2xe+xm/K69YpUtohktoiJOjOyxhrAVsuLQ5EM3A4rAsuyrkGvVhrZbQ2fbt27CzaL9jfUyN/2rXt3VTrJTvhcAzW3BoVSCnOxnOnrY6vt2RnEfDyH43Opmj9fjyUk3azersU3K6VuUkq9SSn1fAAvBlAUke+JyAvbOsI+ltAPTq674jyUlbYXVSc89FQMmXwJey5au6wYOHtWcaYPymQiiQJ2TXnx1Q/sQWDYgf0/nqmsc6PBEUsVGtp6xzDktCHNNbID7Us/nsHpWBbve/VO3PHuq/CNfc/HZ2660pSmLkbzpGa34Ikk8utycHNZpfytd7oX//vBk3j6TBrvvX4H/ul3no3JoBvbzxsaqGY8c5UmNfWtrTN+b67FLXhmwmlMBt3nnGAZHbJDgK7bgic44kSprPCGF5zf0N/2xlE3PqwnKG586baBmluDIp4uIFcsm96xuNo1OwMQaA1ZazFKi8e8g7lGtqkaIKXU00qpcaXUi5RSPzB5TAPjyKkkAOD1z5+C3Sq45/HOHAQcPByFy27BZdv8df3+5oALgrPlQb0sFEljasyDIacN73jZdhydTeK/7pvt9LBoncWS+YY6FhuGXVZmZAfYTDiNr/wkhBdfMo5Lt9b3/tmIlkuLF9cnkHXZrbjiglEcOByFUt1/InAulsUXfngCe6aD2K33hdgzHcRDT8YHaqmAsZVOvev7jLW0xpY9zQpFMueUFQOAzWqBf8jedYHsqWgGCjhnu6B6GM+tGd2eqfvMN3gyqBmjww5cNDmy4n7dkUQOTpul0rdj0PTOYpY+dHQ2iY2jLkz4Xbh0m1YDv94HAUopHDwcwZU7RpdsTL4ap92Kcb+z57fgWcwUEE8XK6XS1148hiu2+/H57z3VdR+k1D5KqeYzsiwtHlhKKdx29zG4HFa8/SXb2nIfLrsVTrsFi5nGM7JKKUQSuXXrZLlnOoAziyuXv3WTf/jmcQDAu16+vXLZ7ukAimWF+55Y6NSw1p2x/+VEndmk4IgDVovgdAsZ2WyhhPl4rrInfa376LbP3xljTW+w8UDW67bBZbdUnmvqL8bJoHaWFgPaibajs0mcWTz3by+S1PaQbfcSkm7FQLaDjpxKYKfeXGnPdBCzC9nKG+Z6OTabRDiRx56d9ZUVGyaDnp7fgsfIKBtnWUUE777uAhSKZXzmO8c7OTRaR6lcCcWyajqQTTOQHUjff/QMHnwyjre8aEtbO6x63fam1sim8yVkC+V1awBy9YVa+duBDlUW1evg4QgOHI7gDS84f8nB5zMmvfB5bD1VHt2qubjWDKze9z6rRbDB62wpI3sysvRzd7nAiBPRLlsja3RZ3txEICsiGDdp/13qPkaZfTtLi4GzO4rUen9ar8qbbsVAtkNiqTzmYjlcuGkEgFYDD2DF0oF2OXA4CosAV+v3X6+poFtrSd8DZWQrMQLxqaozw5NBD1733Cl8/5EzeOD44JyZH2TG2vTRJkqLtYws18gOmmS2iNu/dRw7Nw3juivb217V57FhMdP4yZL1bgAyOuzAM6a8OHCk9jqubpAtlPDJbz6B8zd48No9m5f8zGoRXL0ziJ8eXUCxVO7QCNfXXCyLcV99e8gaxv1OzLeQkTU+d5dvvWPoxoxsKJLB2IgDHmdz3b8nfE5mZPvUfDwHj9Pa1s7wgNbhe1PAhYM13l/XqxdCt6orkBURn4j8jYjcp//7mIj42j24fnZ0Vlsfa2RkN3iduHDjcAcC2Qh2TXkr3THrNTnmRrZQRrjLPnAaEQqnYbMIzhtdWhLy+udPYeOoC7fd/QTyxcE4oBlkxvZLviYyssNO60CtqSPN57/3FOLpAt57/Q5YLe0t5xrxNJeR7cTegrt3BnBshfK3bnDnj2YwF8vhvdfvqLlN0HOmA0hmi3j0xGIHRrf+5uO5htf2TficlXLKZhhNIlfKbgZHHIilCl11MiEUzjS1PtYw4Xe1VI5N3WsulsVEgyeDmiEi+jr+GNK5s8cc672EpBvVm5H9HIBFAK/T/y0C+Md2DWoQHD2VhADYsfHsvq17poN4PJRYt+7Fc7Esjs+lKs0uGmGcTe3lDb5nIhlsCrjOORB12Cx493UXIBTJ4N/uCXVodLRejEC2mfLQIZcN6XyJna4HyNFTCfzXz2bxyqs2Vipq2snnsTfVtdjIao2t4wGO0fm+G8tzT5xJ46v3hPCSS8fxrC21z8NfsX0Udqus+wnlTpmL5ereescw4Xchksij0GSgGYpkMOFzwrXCPrTBEQcUtC3RuoFSSu+y3Pw+oeM+J5LZ4pIAhPrDXDxXd7O0Vu2ZDqJQUri/ah3/ei8h6Ub1BrIXKKU+pJQ6rv/7YwDb17wWrejIqSQmx9wYqipV2T0dgAJw7zqVZhklCnumGysrBlDZ/LmX18mGwukVNyh/9o4Anr9rDPt/PIPZhd59jLS2WEo74G92jSwAHqAMiFJZ4eN3HcPosB1vedHWdblPr9vWVNdiYy/O9TzAmQq6sTngxoEVtonoFKUUPqE35nrbKo25XA4rLt8+ioM90n25Fdl8CfF0AeMNZmTHfU4oAOEms+5rZTeNzFKkS7L6sVQBqVxpxVLoehhZ71b336XuM69nZNfDrikvRty2Je+vg76HLFB/IJsRkecZ34jIcwHw6L4FWqOnpWfzt08MYcLnxIEj63M2+MDhCKbG3E2daQyOOOB2WHt2C55SWeFUNLvqh9M7X7YdVovgk994ou8PagZZLFWAAA2X1wOorItJcZ3sQLj7/lkcOZXEjS/dXjmJ0W5ejx3JbLHhrH8kkYfHaYXbsX5bMogIdk8H8NCTMaS66OTO9x45g4efiuO3X7x1zW229kwHcDqWxdNnerfaqB6VbUOayMgCze0lq5RCKJJZ9ZjDOCDvlnWyoTWaU9XDeM5Oc51sX0lmi0jlSuuWkbVaBNfsDOCnR6OVz4PKHrIMZNf0LgB/LyJPicjTAG4D8M72Dau/RRI5RBJ5XFhVVgwYBwFBPPBEDNlCew+MU9kiHn4qjt0Ndis2iAg2B909uwXP6VgWxbJaNZAd8zrxphduwU+PLuAnXd6Jk5q3kMzD67E1tdbR2Letmw7aqT2iyTz+8btP4bJtfrzwmRvW7X69+gmWRINb8HSqAcie6SCKZYX7j3VHs7xEpoDbv30cF20ewSuuPG/N379G/0zs1L7u62Uubmwb0uAaWf33m1knG03mkcmvnt3stkDWWNM7tUL1Vj0q++9ynWxfmWtw+yoz7N4ZRCJTxGMn4gCqM7JcI7sqpdSDSqlLAVwC4FlKqcuVUg+1d2j96+ippY2equ2eDiBXLOOB47G2juFnx7QzOsaapmZM6p2Le9HZrXdW/3B6zTWbsG1iCP/wzSeQyTPr1o9i6QJ8TXQsBs6WFnMv2f53x3eeRL5Yxs3XX7Cu+/V53doca7S8uFOB7K4pL7xuW83ump3w+e89jcV0ATdfvwOWOl634IgDF20e6Zrxt0tl25AGs0ljXicEzZXJzoTXzm76huywSPcEsqFIBg6bpaXtVUaH7bBbhaXFfaZS1bBOGVkAuPICv76OX3t/6sQSkm5Tb9fiXSLyHgBuAH8pIv8mIpe3d2j96/CpBCwCXLDx3ED2ki0+DDmtbd+L78DhKHweOy7a3HyzkqmgG/PxHHJtzh63Q+Us6xrrXqwWwc3X70B4MY9/+cHT6zE0WmexVAGjTayPBapLixnI9rMHn4zhuw/P4zeeM9lS05dmGBnZRhs+daqTpVH+du+RaMc7zz5+MoG77pvFq6/etKSx4lp2Twdw+GSicpDYj+ZjWVgtgkCDTe7sVguCI46mMrL1ZDctIgiMOBBZp6aXa5kJZ7A54KrrJMhKLCIY97lYWtxnKhnZBqsaWuFx2nDZNj8OHI5oHYsX138JSbept7T4TgDTAO4F8FMAXwZwR7sG1e+OnkpiywZPza59NqsFz74wgINHom3rhFoslfGzo1FcszPQ0tYRk2MeKAAno7335hyKZODz2CoHiau5eMqLl19+Hr528CSOz6XWYXS0nmLJQlONngBgyKWXFnONbN8qlMq47e5j2DjqwuufP7Xu9+9rorRYKYVoIt9wkGKW3dNBJLNFPDbTuW1sSmWFT9x1DKPDDrzpl7Y0dN09eif/9Wq82Alz8RzGfc6mjgEm/C7MNZFdDEUycNkta67nC444Ee2SkwihyMpNIRsx7ncyI9tn5mI5OG2WpvprtGL3dBCzC1mcCKcRSQ72HrJA/YGsRSl1M4C8UuqzSqkvN3BdqqKUwpFTyVW3bdgzHUA8XcDhk4m2jOGRp+NI5UqVD+tmTY317hY8oUhj7fTf+stbMeK24RN3HUOZjZ/6SiyVX7MBzEpYWtz//u2eEGbCGbz7FRfAucKWIe3k9WhzLN5AaXEiU0ShpDp2gHPlBfo2Nh1cZ/pfPzuFY7NJvONl25fsDlCPLRs82Djq6rruy2aai2WbLpcd9ze3l6zW6Mm9Zml+cMTRFaXFhVIZpxdWbwpZrwmfE/PMyPaVuXgW4/727yG73O6d2k4jBx6PdmwJSTepNxgdFpHXArCJyK+KyK8B8LZxXH3rzGIO8XSh5vpYw1U7tExpu/ayO3g4CofNgiu2+1u6nc0BPZDtwYZPoXCmoQ8nr8eOt/7yNhyaWcR3Hpxr48hoPeWLZaRypeYzsk6WFvez0wtZ3PmjGTzvGUE8+8LGtykzg1E1sthAaXFlD1lvZw5w3A4rLt/ux4EObWMTSeTx+e8/jSu2+3HtxWMNX19EsHtnAA8cX+jb3gjzLex/Oe5zIbyYb7hqTNt6Z+0TyMHh7ghkZ6NZlFVrjZ4ME34XFlKFnlyKRbXNx3KVRl7raczrxM5Nwzh4JNKxJSTdpN5A9ocAXqX//2oArwTwo1bvXEReLiKHReSYiHyg1dvrBYdPGo2eVs7IDrtseNYWX1s2lVdK4cCRCC7f7oerxZp6l8OKDV5nzwWyyWwRC6lCw+30X3LZBC6e8uKO7zzZ0EElda9YSnsdmw1krRaB22FFKseDk36jlMInv/kELAK842UXdGwcLrsVDpulqUA20MEDnN07gx3bxub2bx9HoVjGe67b0XS2ZM9FQRRKCj9/oju6L5spXywjmsjjvCYzsuf5nSiVVUPBZr5Yxlysvuxm0OtAIlPseNAXimhz14yMrJH9Znlx/5iPr98essvt3hnE46EEzsRzzMjW+XufUErdsPxfK3csIlYAfw/gFQB2AdgrIrtauc1ecPRUAjaLYNvE0Kq/95zpAE6EMzhpcpD45Hwac7Fcy2XFhskxd6WBQ68wSqEbbdpiEa3xUzJbxGf/+8l2DI3WWTylHYiNtrCWcB8Wez4AACAASURBVMhlZWlxHzpwOIJ7j0TxxhduaaljqRm8HhvimfrnmNGkqJMHOLun9fK3NlUWreTnxxfwg0fP4DefN4XNLQQgF095Meyyrfv418OZxRwUGu9YbDCyUI2UF5+MZKBwdknSaowMU7TDDZ/q6bJcL6OzLQPZ/pDNlxBPF9e1Y3G1PRcFoQCUVWff57tBvQtH7gBwhcn3fTWAY0qp4wAgIl8C8BoAh0y+n65yZDaJrRNDcNhWP4ewezqIT37zOA4cjuDXnzNpyn3PLmTwgX9+BADwlXtmcNk2HzaOtvYGPRV0478fmodSat3XCTTL2Pu2ng/U5bZNDOGll03gmw/M4dsPzmFyzINb9+6q63mcXcjgli8+hlPRbMPX27f/EELh9Lpcb5AstJiRBbQKik6XFnOOmGd2IYM/uvMxzIQzsFu1Dryd5nXbkWgmI9uhZk+AloFz2ASf/97T+N4jZ9o+t6pfN5tFcO3Fre31a7NacPWFo7hXb7zYSmPE6jF2w9/bfIvdVo3rNRKUnc1u1lFaXLWXbCffj2YiGQSG7Q2vsa6llf1322m9j0taGWc3/O0YjH2Yx9exY3E1l90Cq0VQKit85Z4QrtkZGNjP7nr/Om0iMgpgyTu5UqqVTgibAcxUfR8CcM1qVyiXy0ilujf7l06vPjalFI6cTOA506NrPo5hO7B1gxs/+cUZvOJScw6kbvniY5UtHE5Fs7jli4/i4zdc3NJtjo/YkM6XEJpfRGB4fTu3NevJ2UVYLYDXoZqaT488re3xW1bAiTNp3PTpn2P3haNrXu/g0QWkc9p2FOt9vZlw2pTXu9/MRbVSf4eUmn5vcdkFi+m8qe9Na72XLHfLFx/DyWgWqoU5yTmiueWLjyEU0Q5SiiWFD3/psY4/J8NOCxaSuSVzbLU5cjqaxojbikIui0KHEkC3fPEx5IvaGsr1mFvVr1uprPDH/9r663bF1hF875EzeODoGTxjsv7te1Yb48lIFgrr9/dWa57MzGuNJEfszX0GDtm094zQmQRSqfqel+OzWgfrUdfa9+m2ard/6kwC24KdO644MZ/ERr/TlPd2l0XBIkDoTLKrjmOr52Q3f3bc8oXHENJ3yOiGz6oTp7X57HOiI6/nH935WGWNemQx37H3km5QbyA7DeB+LA1kFYDtpo9oGRG5EcCNADA1tf5bH5jpdCyHVK6EHeetXlZsePYFfnz13lkspouVzpWtqN4mRyktmG3VpoBWVnEqmu2ZQPZkVFvXYLM2d4Z9dmHpkWE6V8bDT6+9zYTxpt+J65n1evebWErLpPpb+Psactoqmd1OOaUHsQbOkeZVPwcK3fGcjLhtCM/XfxCxkMoj0GQnbrOcasPnTd33B3Pu77KtXtgsgp8ei5kSyJ6KagED0Nm/t/l4HhZpviTRabfA57FhPl5/6e/JaBbBEXtdvTmMY4loh99XT0azeM702kFdPawWwdiIA2cWO9/Eqlr1nAS697OjHcevrZjXX8cNHWqo142fU51S79HbIaXU5Sbf90kA1ZHppH7ZEkqp2wHcDgBXXXWVGhpa383om7HSGENPatmfZ20LrPg71V7wrAl85eAsHj2VwUsunWhpTNl8CRYRlPSjXRFtH9hWn88LJ7US6XCq3PJtrZfT8TzO3zDU9HgnxzyYCaehlPY8To158Jmbrlzzem//5P3rfr0TeqMVs17vfpMuaAdlwdGVm6+txTfkwKmFXFue23pvc3LMs+S1bmhunUlDQTtLyTkCbA66K2vjuuXvJjDiwsMnEjXHUeuyWLqEMZ+ro+Oufp80vm/neNrxug0NAZdu8+P+Jxdx0/Wtj93nsVdOeq3331v1/SxkSgiOOOHz1ndSvZbzRt2Ipop1j/90vICpsfo+dz0eBbtVkMzV/x5otni6gGS2hG0TXtPGcN6oG5Fk/c/Zemjps6P67zvobtvjml3ILAm2u+F9OZYpw2YRTE74YOnAsrrlx6Gdei/pBp3cC/ZnAC4UkW0i4gDwegBf7+B42u7IqSTsVsGWDfVNggs3DiM44jCl2cQXf3QCpbLChN8Ji/5mdeve1ntrjXmdcNosPdPwqVRWOBlpbOud5W7duwtTY56Gn8db9+7C5oCrqes1e3/G2s+Noy5TXu9+E08XMNpi5mrI2fk1sv/zVTsAaAfHjc4Ro6rCP2TnHAHwzpdphUZi4vtkq7weO5KZYt3bnUS7YG9B430L0E4Wtft5/K1rzwdg/uu2ZzqAUCSDEy1+xp1ZzCGdL8Fu0w56R4c79/c2F8u2vLZv3Oese42sUgoz4XTdfSlEBMERZ6VpWSdUmkKa0OjJMO53VtZWdovK+x2aOy4xYrjnXGROA9HllFL45DeegNNugdet5d664XhmPp7DBp+zI0Es0PxxYT+qNyO7x+w7VkoVReQ9AL4FwArgc0qpx8y+n25y9FQSF5w3DJu1vvMHxl523314Xm+c0dx5h6fmU/jqgZN46WUT+N3X7GzqNlZiEcHkmLtntuCZj2dRKKmW9oXbOOqu64xlresZaxgaOaPVyv197IZL8Nbb7sevXL1pYBsBrGYhmW+p0RMADLlsSGaLHW149pRedvqpd12BreP1Z1k2jrrx2fdchb0fuxdX7hjlHAGQK2glc59422W4cJVt0taT12ODgrZ1mM+z+nwtlRWiyTzGOhzIGu9bt911DN99eL7t3T2NBlf7/9c1LXUhX+6anUHcdvcTOHg4gvNb+Nz49LeOQyng9nddiXf+w8/xwmeOd+zvbT6Ww8Xne1u6jQmfEwcPR1BWas2D+YVUAelcCVMNnEAOeh0Id3Av2UrHYhO23jFM+FyIJvIolMqw13kc2G5PnNYqBT9147OwdaO/7usZf99KKezbfwj/96ezeOWzN2GD19zmRz95PIKfHl3AjS/dhudeNIY3f/xneOVVGzv+WTUXyzbdLM0MzR4X9qN6/5L+U0QqM1xERkXkW63euVLqbqXUTqXUBUqpj7Z6e92sVFY4OpvEzk2NrbPZc1EQ2UIZDz0Za+p+/z97bx7d2HXfeX4v9h0gwH2pjSRYlqy1VBIpL/ESL7KUjCcdT6LOZmfazrQdp8/809N9fFrpozlOzplOz2Qc27GtTJylHTmJ48SbvElxYssiS1JJ1lKlIkjWBhDcsO/ru/MH8EBWFRcs7+G9B/w+59QRKRLgBXDfffd3f7/f98s5x2efWoXNrMe/e8/Jtp7jKCZ92glkQxLK6WuBSZ8NU4NWPLfciS5b75LIljsOZB0WAwQOFMrC0b8sE4vLUYwNWJqu9tgLYwyz404EwhkZRqY9xA1sJ9YtUuOqB6/JJpSLk7kyBA54VWLJMDvuqAkCynyPCIQzGHKZJQ1igVrmcWbMgaUO1tAXVmP4ycUIHn3bFMa9Vkz4rA0V325TFTh2UsWODxZGPBaUq7zhxX0Yu9nN5tcnn9OEmIKBbChaUy2X8gBmxGOGwIFISj0WPEvLMZwctrbd68kYw8cfOoWqwPHF71+WdGz5UhV/+r01nByx44MPTGB0wIKTw7aOrkWp2EoUGzZUhLI0G8gOcc4bkRTnPA5gWJ4h9Sbr0TzypSr8LZ7w33XCA6tJj+faLC9++pVtvHYthd9+94kjT/LbZdJnw1aigFJFuY18s4jWO1Kesqqdeb8Pr11LktfpPiSyJXg6LS221MRLlCovzpeqePlyAvN+b9sZ4blxB4I7OeRLVYlHpz1C0Rx8ThNsElhuSIW4djdjwSNmJkUvTqUR73krMh+UrIRbPyhulgW/FxeDKSSyrQdWxXIVn3tqDZM+a8NKr+a/rszhbyRVhMDRsTfycAt2MqE27rs+h6kxl5UgGM1h3GuVxHZJRHzPtxLqCGQT2RIuBlM4O918JnY/xgasePRtU/jJxQheWJUuyPwf/3INkVQJn3x4pvE5zM/58Pr1JFIt2JFJTakiIJYpKZqRJXZpNpCtMsaOid8wxo4DaK5ZhwAABMI1ufvZFm+0JoMOZ6Y9OBeIQeCtveWpfBlP/PAK3jTpxPvvHW3psa0wOWiFwIFwTP1Z2VAkB4fFIFtQr0YWTvtQFThelPAG0wsInEuSkbVbagGPUgcFL63FUa5yLHTQozQ77gQHsLpBWdlQhz30ciD2hiVzR8+xaD3bo3SPrMixIRvMRl3jHigHmUIF67F8ywfFzTI/5wMHcC7Q+hr6t8+GsBEv4JMPzzTagyZ9VsUOf8W+1o4zsvVsVDNBWTCSh9mgw1ALwbPPaUa+VEWuqMy6GorkJa/cEt/zVvx35eRcIAYO4P6ZzgJZAPjlBycx6bPic0+toVju/ED0ylYWX19ax/vvGcXtU7tl8AtzPggceH5Fuf3MjngNUUZWFTQbyH4KwLOMsb9mjP0PAD8G8J/lG1bvsRLOwGLUtdWbuTDnQzRdavlE+8vPXEU6X8YnH56RtSFd7HtR6oS5FYLRPKYGrYr1MirB6Qkn3DYjFlVQjqMmMvkKBF4TXekERz2QVSoju7gchcNiuOFm3ypiJkvOYEML1ERp8h310MuBWFrcTBZiNyOrjkBWr2OYGXXIWrq+0uZBcbNMj9ox5DK3vIaGojn83U+DeOcdQ7j75G6wMOWzKXb4K2ZQO80miRnZ7SbEi0LRHCZ81pb2IeL8VSIrW6kK2IgXMOmTdh0YcpvB0FwWuxssLscw6DLh5HDnAbvJoMMnH57BRryArz4b7Oi5BM7xJ99ZhcNiwP/68ydu+NnsuANehzQiqO0iCnZ1KphGSENTgSzn/HsA7gXwtwC+CuAM57zjHtl+YjmcxsyYo60ylftnvdAxYKmFC/dSKIXvnt/EBx+YwPSoPDd3EbHvRamen1aonbKqa5MqN3odwwN+L15YiaFcVX/5d7eI18sEO87ImmulxZlC98tyqwLHuUAM988ONC0itx8DDhOGXOa+75OtWW5U1JeRFQPZfHOBLAMk7xXthNlxB9Y2Mk2rLreKOG/lCmQZY5if8+KltXjT2aaaPsUajAYdPvbeUzf8TMz0KaEtIWZQO+3vs5sNcFgMTWdkW81uehUMZDcTBVQF3pI4VTMY9Tp4nSZsqSAjWyxX8dJaHAt+n2QH+3ef9OBddwzh738a6mg/+MOfbeFCMIV/956TjbVPRFcXQX1xNa5YO9t2QpqqBkIamtr5sNosfz+Aeznn3wZgY4zdL+vIeoiqwLG2mW277MllM+LNx9xYbLKsqSpwfOY7q/A6TfiNdxw7+gEdYjXpMeg0qV7wKVusIJYpSX5z0gILcz5ki1W8di2p9FBUgyhS0nmPbD0jq0AJ3MVgCql8BQtznVsf+Mcdsvcxqp2gSsXgLEYdjHqGVDOlxekSBhxGSXv7OsU/7kSxIjT8KqVmZSODsQELXFb5WkYW5nwoVgS83KTw4r9eiODlywl8+F0n4L3pUEE8KAkpUMW0nSxgwG5s2wVhLyMe85EZ2VJFwFai0PLhkJiRVULwSc51YMRjwbYKMrIvX0mgWBE6aknZj4++9xRMBh0++9QaeIvtcECt6uTPfngFt0+58J67R/b9nYYI6tX2RFA7ZStRgI5BcWV4okazK9nnUbPgebT+fRrA52QZUQ9ybSeHUkXo6LR4fs6LK1tZbMaPXgC/+XwYa5tZ/G/vO9U1wZLJQasiN+VWWO9DoSeRe095YDLoVKH2pxbiGTGQ1W5p8dJyFAYdw5mZgY6fa3bcgfVYvq9FwcTDuCmJSwo7hTEGt83YVGlxLFNUjdCTiNyl64FwWjahJ5E7T7hhM+mxeOnoNTRbrOCL37+M2TEHHrlv7Jaf28wG+JwmBBWoYtpKdq5YLDLisRyZkd2I5yHw1q8pJUuLQzJY74gMu82qEHtavBSDzaTHHcfdkj6v12HCh991Ai9fTuBfL+y0/Pj/7+mryBQqh7bE3X3SA4tRh8VLypQXbyVra2wnVVCEdDT7KTzAOf8EgALQUC2mo4gmEft35joQopivZ1yWAodfuNF0EX/1o2s4Mz2At9022Pbfa5VJnw2haL6tE7hu0W/WO3uxmPS495QHS8tRVX9G3SQpVWmxgmJPS4EY7jrpgV2CA6tdddn+7ZMNRXIw6llLojTdwmkzItlkabFa+mNFJnxW2Ex6WUrXE9kSthJF2T1/jXod7psdwLlA9Ejhxb/652uIZ0r4vUdmDsyMT/qUOfzdShQk6+2rBWWFQ+8p7d53bWYDbCY9IunuB32haA4euxFOGTL8I24zdlJF2crsm0HgHOcCUdw3OyBJZv5mHr5vDP5xB774/cstHfBeCKbwvZc38UvzEzg5crAfusmgw5mZASwFYorsZ7aTynrIEjfS7AwuM8b0qCsVM8aGAFCzXZMsr6dhN+sx5m3/FHTCa8WxIduRYhNf/P5llKsCPvGB6a4KGk36rMgUKk35HCpFMJqDjkFxI22lmJ/zYStZxOWtrNJDUQWJbBk6hlt6cFrFZKiVfWa73CN7PZJDKJrHwpxXkuebbWTN+re8OBTNY8InreWGVLhthqZLi9XiISuiYwwz4w5ZMrIrdaVtuTOyQK28OJ4tI7B+8OtY2cjgmy+E8ch9Y4e2E4n+693ciAucYydZlExtdcRjQaEsIJ0/eF6KVQ7t+DJ7ncpY8ARlVC4f8VhQFbii1kKB9TTi2TIW/NKWFYvodQyffHgG8UwZf/mja009pirUBJ4GXSb8+juOH/n7C/6aCKoSSvtbCemqGojOaTaQ/QyAfwQwzBj7NIBnAfyBbKPqMVY2Mpgdd3SsHLzg9x7qB3p+LY5/vRDBr75tChPe7gZrosqnmpWLg5E8RgcsspxAaoEH/F4wgMqL68SzZbhtRkkUvR0WQ9dLi0Xxtwck2oy4rEaMDVgagUE/EoqqT7FYxGk9urS4UhWQyJZVl5EFAP+YA1e2spILzq2EM2AAZsbkD2TPzgxAx4DnDlhDRbVVl82ID7/7xKHPNTlo6/rhbzxTRrnKJcsmjYi+qIeIFwUjNV/mdqpGfE6TIj2yoUhecsVikVbUnuXiueUYdAy4b7bzlpSD8I878cjZMXzrhXBT95R/OreOK1tZ/Pv3T8Nq0h/5+/f7vfVrsbvlxVWBI5IqNuY+oTzNqhZ/BcB/BPCHADYAfJBz/vdyDqxXKFUEXN7MYnas87In0Q/0hX38s0oVAZ99ahUTXiv+l7dMdfy3WkUsGwpG1KtcXPOHVOcmtRt4HSacnnQeWZ7eL0jhIStitxiQ6bLY09JyDDNjDgxLeEOdlSlrpgV2LTfUWbHRTI9sLCNa76hvk+WfcKJc5bi6Le09YjmcxuSgVZLy+qNwWo2484T7QAeB757fxPJ6Gh9776lG7/xBTA1237ZOtH3pVLFYZNgjeskeHJR14svsUyAjm8qXkcyVZWtBanjJKtgnu7QcxR3H3bKKowHAh991Am6bEZ/59sqhpdQ7qSL++l+u4/7ZAbylSfEpt82I26ZcXT+Yj6SKEPju3CeUp1nVYi+AbQBPAvgbAFv1/0ccwbXtLCoCx9xE56fFcxNOeOzGff2z/u7ZIMKxAj7xgWlFMo7DbjNMBp1qlYsFzhGWsVxIK8z7fQiEM4iklBebUJpEtgSPRBYldouhq6XFiWwJF4MpLPilXYb9Y05sJYpIZJUre1OKcLxmuaHWNcJlMyBTqBy6IVSbh+xeGoJPh5TltsNKONO2I0A7zPt9uLaTu8UDNpEt4c+fuYq7TrjxrjuGjnweUfyom4e/YhZQsoysmF08ICgTfZnbD2TNiKaLXS2/Fnt6p2QKZMWDx02FlIvDsTyu7eQauity4rAY8LH3nkIgnMF3X9o88Pe++P3LqAocH3+otZa4+TkfLm9lu/pe7h4Gqe+wsF9pNuI5D+DF+n/De74njmC54W/X+Y1W9M96YTV+Q3nWeiyPrz4bxM/dPogz0/KVihw1tgmvRbWB7E6yiGJFkO3mpBUWTtcCn6UmrZx6GSkzsg6LvqulxecCMXBA8s2Iv37g1o/lxbuiNOqs2nBZjRD44erYag5kRz0WOCwGSXuwo+kioukSZrtQViwiWl3dnAl64odXUChV8bsfmGlqMz7kNsOoZ129Z25J7H/ptBhgNekPzMg2fJnbvKa8ThPKVY50F9dWuZXLLUY93DYjthXykhXnrVTaCkfxzjuGcPdJN778zFXEM7cekL6wGsNPLkbw6NumWtYvebB+LZ7rYnmxWEY/ShlZ1dBsafFJzvkpzvlJAG+I38s8tp5gJZyGy2qQrJ5+Yc6H3B4/UM45PvfUGox6HX7nfcp+JJODNtVa8IT62HpnL8cGbRgbsOyb1e83EtkyBjr0kBWxmQ1dVS1eXI5hyGXG9OjByo7tIPYZ9qOfbKhuhaJWn2l3XZTssJ5KNQeyjLGaV/GGdBlZcZ76J7qXkR0dsODksA2Le1o0Xr2awNOvbOPfPDiJY0PNBUB6HcNEXfCpW2wlCnBaDU31IDYDY6ymXHxAULYbFLZfWgx010s2FMnBoGMYHZAvUGnGf1cuFgNRnBi2dU30kjGGT3xgBoVSFU/88MoNPyuWq/jcU2uY9Fnxyw9OtvzcEz4rpgatWOziwbx4aKNGZft+paUaVMaYCWS70xKBcAaz407JFITvPuWB2bDrn/WTixGcX4vjt951XPG+qCmfFRvxvORiHlIglm+pNdvSLRhjWJjz4ZUrCeS63NOpJgrlKvKlqoQZWUPX3s9iuYqX1uKYn/NKrkxuNxsw6bP2pXJxKJKH12Fs2CmpDaetNq7UIQqx0XQJBh3rWIlbLvzjTlzdzqFYlqYMfzmcho5B8gOdo5if8+H1a0mk8mWUqwL+5Kk1jHjM+Ldvb02fotsWPNsSesiKjHgsBwZlwUaZbnv33UEFvGRD0TzGvBZZlcub8d+Vg1S+jNevJTEvk1rxQRwbtOFDb5nEM69u49Wricb//9tnQ9iIF/DJh2fabomb9/vw6tWDRVClZjtRhNdh7FvRUDXSbI/stxhj3wJwEcA/yDuk3qFQruLqdhZzEtoCWIx63Dtd88/KFiv4wvcvY2bUjl84Oy7Z32iXyUEbBA5sxJRT4zuIUCQPu1mPAYkCFy2zMOdFucpxfi1x9C/3KIlsLaslZSCb6VKP7MtXEihWhEaJo9TMTTj7UvBJ7WJwYkb2MMGnWLoIr9MkiRK3HPjHHagKXDILsJVwBseHbLAYpckwNsvCnA8CB15YiePri+u4vpPDxx+abnkcU4O2rh7+biWlV1sdcZsPDMo69WUWD+e7qekQjORkXweG3WZsJ7vb+wvU5qvAa8Kh3ebRt01h1GPBn3xnFeWqgFA0h7/7abBeeuxp+3lFEdQXV7uTld2S4TCI6IxmjxT+CMD/BeA9nPPHZBxPT3F5MwuBS9Mfu5eFOS+2k0V8+u/fQCxdwicfPth0vZuIZbtiiZ6aCEbzmBy0ddVbV63cfswNh8XQ1+XFiXqvjkey0mI9ShUBpYr8G9LFSzHYTHrcecIty/PPjjkQTZcQTfeXIFhtA6vOsmJg1+/4sEA2mi6psqxYRLwXSpHx55w3Kp66zey4A16HCd95cQNf+fF1PHja11aWa9Jn7drhL+ccW4mC5CI1wx4zMoUKsvtUpHTqy+ztcka2KnCEYwXZtTRGPBaUKkLjQLVbLC5H4XUYu+K5fDNmox4ff2ga1yN5fH1xHZ99ag1Ggw4fe29nLXGnJ5xw24xY7JJ6sRzXENEZzQayrwG4ACDJGPOK/2QcV0+wUs9qSL1oHK/34JxfS8Bu0cOtkizjpAJ2As0Siqp7k9pN9DqGB/xePL8SO1QBtZeRIyMLQPbyYoFznAtEcd/sAIx6eUqbxPVKLX2yG/E8Pvr583jo8Z/go58/j4249OtLKldGKl+RzXJDClzWemlx7vDSYq+KA9khlwkeu7Fxb+yEnVQRyVxZkU25jjHcedyFC8EUimUB17azbc1LsdWlG4e/qXwFxbIgS2kxsL9ycSfWOwBgMujgtBq61iO7mSig0gXl8ob/bhfVdksVAS+uxvGA36dYxcYDfi/OnPLgz5+5ipcvJ2A26DpuMxD3My+sxFCRubJB4DUPWansqwhpaHYnFEEtkBWVi0m1uAkCGxl4HUbJT8j/+zdXGl9ni1U89uRFSZ+/XexmA7wOo+qUi/OlKiKpEgWye1iY8yKdr+DC9aTSQ1EEMZAdcEgbyMrdp7O8nkY8W5atrBgApkcd0DFpsmZS8NiTFxHcyUHgtaypHOtdsCEGp97SYqtJD6OeHSn25JPIUkoOaoJPTknm1vJ6XehJgYwsAFwM7Qbj4XihrXkpiiB14/BXDJqkst4ROSgo2/Vl7uya8jlNiO6jdisH3VIub/jvdlG5+NWrSeRLVVnvHc2w1yonkStLsp4vzPmQ3SOCKhfxTAnlKpf8GiI6o9lA9mMAQgD+O4BZUi1ujsB6Gn4JhZ5EQnt85zi/8XulmRy0qS6QbSgnqjjb0m3OTA/AqGddK8dRG/G6T6pbIlEcm6XWGyd3n+zicgw6Bpydkc9my2LS4/iQTTV9sqFIDmLdgFzrXaghBqfeNYIxBqfViHR+/0C2UK4iU6goLvp3FP5xB4KRHPKlzq6VlXAaBh3DyZHuCj2J7O3bbHde2i0GDNi7c/gr9rFKnU06KCjbqPsyd3rf9TlNXSst7pZyuRj8H+S/KweLy1GYjTrcfVKelpRm2YjvBrJSref3nvLAZNDJvp/ZlNi+ipCGZu13/gzAWwGYAfyUMfZrso6qB8gVKwhG8piVoeyp1utZ+5oxdSnxTvqsXTV4bwZxoWxXObEXsZkNuOukB4vL0a4LTqiBRLYMm0kPs0QiMWJGVm4v2aXlKO447obTKm87wWw9a6aGuXFzJYUc610omodRz1TvDei2GZA8oLQ4pmLrnb3MjjsgcGC1Q6/iwEYGJ0bsiqmHSnUfnurS4a+oLCx1NmnAXlNw3b4pIxuUKLvpdZq71q8fiuThshpksI5McgAAIABJREFUV/22WwxwWAxdKy3mnGNpOYr7pgcku+e1ixz7V4tJj3tPebAk835GnOPUI6sumlUt/iUADwO4CuALAP4PxtgrMo5L86xtZsEhT9nT44/ehqlBG3SsdhN8/NHbJP8b7TLlsyGdrxxa/tZtQtE8GIBxr3qzLUow7/diI17AdZUdPHSDRLYMj0RlxUB3AtlwLI9rO7mulIb5xx1I5srY6aJa6EH8+juONb42Gpgs610wkseYt31Rmm7hshmROiAjK2at1NwjC+zeEzvpweacYyWcUaQ/VkSq+3C3Dn+3EkXYTPrGWiUVB3nJSpXd9DlMiKVLELpwqBaM5rp24H2Y/67UrG5mEUmXMK9wWTEg3/51fs6HrWQRV7blu5a2k5SRVSPNrmi/cNP356UeSK8RkEnoCQDGBqx44uNnJH9eKRBL80KRHNzHlC1hEQlF8xjxWMj36ybm53z47FNrWFqO4fiQMuV5SpHIliRTLAbQ8B6Vs0d2qV421Y1Adq+6rNLCFivhLAw6hofuHcVTL23KUjobiuZwTAMVGy6bEVe397euEQPZQZe6A1mvw4RBlwmBjfZL18PxAjKFimL9sYB09+HJQWvj8FeqVof92EoWMOwxy6LcP+w235JdDEXyGLB37ss86DJB4LXDR6/M/d+hSB73z3ZHx3TEY5FFuG4/Fi9FoWPA/bPytaQ0i1z71wf8XjDUXuspmdoNNhMFuKwGWE3KZrWJG2m2tPgj+/2Te3BaprYBNEu6WdYCuxY86umTDUVyqu59U4ohlxmzY46+tOFJZMuSegrbzbUbW7YoX4/s4nIUJ4dtGB2QP7A8NWKHQccQWFe+T3ZxOYo7T7hx9ymPpB6kIlWBYyNW0IQYnMtqONB+Z7e0WP1lb/5xJwLr7Wdk5XIEUAJRDElurYvthHz+lyMeyy1esqFoXpL7rq9LFjzZQgXxbLlrewXRf7cb7RtLgSjeNOXq6f2o12HC6UknlgLy7We2k8VGTzihHpotLf7mfv/kHpyWCYTTsvTHqp0RjwVGPVONBY/Aec1DVgObVCWYn/PiUiiNWJdUIdVCPFOW1LbKatJDx+QrLU7lynj9erJrpWEmgw4nRuwIdNjH2CnBSA6haB7zc749tkDSBteb8brlhkYysul8Zd8yy2i6CLNB1zhUUTOzYw6sx/JtVzAEwhmYDLqGFZ2WaVQxyXz4K6f/5bDbjGSujMIeK5VQNIcpCVTAvfWDGbn7ZLutXD7isSBfqiIts67CdrKAtc0sFtrwOdYa834fAuHMDUJsUrKdKJBisQppttbyTagpFt/8j9iHdL6McKwA/5hyZU9KodcxjHutCHbBF68ZIqkSimWBhJ4OYGHOBw7g+UD/qBdXBY5UriyZhyxQ6xOzWwyylRa/sBqHwNHVHif/mAMrCgs+ieXU834vhlxmuG1GyW2BxLVKC6rmLpsRAt+/hD2aqXnIylE6KjVzE7V7Y7uCT4FwGtOjdhhk8lLuJqNdOPzNFqvIFquyZWRFkTSxhzCVKyOZk8aXWczIyu0l223l8mFPd5SLRSXfhdPdKZlWEvE1Lsmwn+GcYytRxAh5yKqOZu8Cac75v978T9aRaRjx5tyPGVmgdiMIqSQjKwpOUEZ2f06N2DHsNvdVeXE6XwYHMCBxmZXdbEBOptLixeUovA5TV0sp/RNOZAqVG+wSus3ichTTo3aMeCxgjGFuwiG5LVBDXVUDa4TYQ5neR7k4miqpXrFYZHasNo/b+SyrAsfqRrbxHFpHr2MY81plzciKom0jcmVkPTd6yUqZ3RywG8Egf2lxMJKvHcR3oXUDONh/V2qWlqOY9FlV7ZEtFccGbRgbsGBJhv1MMldGsSJQRlaFNBvI3sUYSzDGNhljLzHG/oQxNijryDSMmDHohf6ddpj02bARL6BSFZQeSiOg1kK2RQkYY5j3e/HS5cQNZWG9TDxT6zGUMiMLAA6LXpaMbKki4MXVOOb9Xui6mG0T1y+l/GQT2RIuBlOY31MSNzvmxPWdHAodepDuJRTJw20zym5pJAUua004Zz9V+GhaO4Gsy2bEqMfSVnZ9PZpHvlRVVOhJaqZkVi7eTtaCQLn6+0RBODG7KGV206DXwWM3yh7IhqI5jA1YupblHznAf1dKsoUKXr2a7IpAoBpgjGFhzoefXUkgV5T2XixWGygtfkjcSrNiT3oAXgDTAH4FwCaAv5RxXJomEE5jbMCiiY2RHEz5rKgKHJtd8kg7jFA0D6tJL7vaoZZZOO1DqSLgpbWE0kPpColsbUM0IPGckKu0+JWrCeRLVSyc7u5m5PiQDUY9k7yUt1meX4mDAze8bn/dg3RtU7oxhaLaEYMT/S1vFnzinCOaLmpC6Elkdry97Lr4mF6qeJr0WWU9/N1J1da8UZmyST6nCXodawRloWgeBp10vsw+p6kLgWx3tTScVgMsxlv9d6XkhdU4KgLHwlzvlxWLLMx5Ua5ynJd4PyNmzikjqz6aPnrinAuc8yznfIVz/mkA35NxXJpGaX87pZlqWPAoX14cjOQw6bNqom9MKe447obNrJelHEeNxLO1IEBKsSegFsjmZAhkl5ZjMBt1uPukR/LnPgyDXofpUUdHfp+dsLgcxaDThJnRXSuFvbZAUhGK5jv2uuwWLlstI5vK3zjPcqUqCmVB9R6ye5kbd2IrUWzZczwQzsBi1PWU7sHkoE3Ww9+dVAlmg042ex+9jmHItWvBE4rmMe6TzpfZ6zQjJqPYU1XgWO9yIMsYw7DHImtGdikQhdtmwOlJl2x/Q23cfswNh8UguXqxqMpNHrLqo+lAljH2i4yxP6r/+wXO+Z/IOTCtksyVsZUsNjZc/Yio/qkG5eJQNE9lxUdg1OtwdmYAS4EYqoJywj7dIpGVp7S4lpGVtjybc46l5Sjumx5QxAfZP+7AykZmX5VcOSmWqzi/Fsf8nO+GQyif04RBp0mycud0voxEtqwJxWJgNyN7c/DX8JDVUCA721Chbu1QIhBOY2bMIVmQpAbkPvzdThYx5JbHQ1Zk2GNulF8GIzlJD4cGnSZEZMzI7iSLKFe7r1w+6jHLlpGtVAW8sBLH/X5fT10rR6HXMTzg9+KcxPuZ7WQRNrMejg59kQnpadZ+5w8B/AcAF+v/fo8x9gdyDkyrrG3WekPm+jgj67AY4LEbG0JLSlEoV7GdLPaFyEGnLMz5kMyVcUkFvqFyk8iWodcxOCW+ITnMesntd1Y3MoikS4r1OPnHnciXql2vrnj5SgLFsrDv654dd0qWkRUFdrSSkbWZ9DDoGNI3BbK7HrIaCmTbEHyqChxrm9me6o8FdoXGgjIJPu2kSrJnkkY8FmwnCrL4MvucJiSyZdlKr5VSLh92W7Apk2rx69dTyBQqeLCPyopFFua8SOcruBhMSfacW4mCbGJpRGc0e8T/MID3cM7/nHP+5wDeD+AR+YalXVa3cmAApntEUbFdJn1W2W7KzbIuKidSRvZIzs56odexvigvTmRK8NiNkmcn7BYDcqWqpKfAi8sx6BhwdnZAsudshVmFBJ+WlmOwmfS484T7lp/5xx0IRfPISiDmIQboWlkjGGNw2QxI3qRaHG0EstrZaNktBkz6rC0dSlzbyaFUEXqqPxYAnFYj3DZjQyRJanZSJdk34SNuM6LpEoKRnOS+zGLJfCzTWhl6syilXD7sNiNTqEguTATUWjNMBh3uPaXMvUNJzkwPwKhnkroxbCWLVFasUlqpVdvboHXr7oIAAKxtZjE5aIXd3N/lB5M+m+I9sqGodmw1lMZhMeCO4+6+sOFJ5MoYkLisGKhtzAFIuilZXI7iTVMueCS2CmqWqUEbLEZdV/tkBc5xLhDFmZn9y6nFbJwUYwpGa5YbUonSdAOXzYhU/ubS4lpWR0s9skC9dL2FQ5JAvWJkrscyskDtMEWOw99CqYpUvtKwyJGLYbcZHMDPrtREdqTNyNbGLlefbCiSg8NikK2H+CBGbvLflQrOORaXo7jnlAcWk17S59YCNrMBd530YHE5KpkP+naigGHKyKqSZgPZPwTwMmPsLxhjfwngPAAqLd6Hta1cz5U9tcPUoBXJXBnpvDwnqM0gBtITFMg2xcKcF8FIXvGScLmJZ0pwyxAYir0zWYn6ZLeTRVzeyipqnaDXMcyMORDY6F4gG1hPI5YpH/i62+2t3I9uW25IgctqvEW1OJoqwWbWw6qxTevsuBORdKlpRdpAOA27WY8xr3YOHpplyieP/7rYW9qN0mIAOL8WByBtlYNYMi+XcrGopdFtUUhRAVdqka+r2zlsJYqY9/dfWbHIvN+LcKwgiVZLplBBtliVzb6K6Ixm7XeeBDAP4OsA/gHAAuf8q3IOTIvEMiXEMuW+ViwWEW9icpq8H0UwmsOI2wyLUVubO6WYrwcOS8sxhUciL8lsWXKhJwCwm2vzTCoLnhfXkgCguHWCf9yJtY1M14TAjiqndtuMGPGYEdjovNw5FMlrpqxYxGUz3BrIZrTjIbsXf+NQornPcmUjg9lxR1f9lLvF5KBNlsPf7br1juylxfWg7JWrSbhtRrgktB/sRiCrROXWzf67UiFWVj3g7w//2P0Q9zNSVJmJatxy2VcRnXFoIMsYe1j8mnO+wTn/Juf8mwCyjDFSLb6J1brQUz8rFotM+ZRXLtbiJlVJRj0WnByx93R5Mecciay8pcVS9G4CwPNrCUwNWhUXK5sdd6BYEXBtpzuZ+qVAFG8+7j50I+wfd3acka0KHOFYvrFWaYVaafGtPbJaDGRnRh3QsebslEoVAZd7UOhJRBQck/rwdydZC/7kziYNusxgAIplQfL7rttuhF7HZAlkc8UKoumSInZOAw4jjHomeWnx4nIUpyecmlwTpGLIZcbsmEOiQLb2+YgHD4S6OCoj+8eMsd/e+z8YY/8WwKsAtmUblUZZ28xBx4DpPb6H/crogAUGHZNNvOIoOOf1U1ZtbVKVZsHvxcVgqmVvR62QL1VRrAiy9JzulhZ3Hshmi1VcCKYxr4IT9blGT6r8gk8b8TyubuewcMTr9o87sBEv3JKZbIWtRAHlKtecPZdYWrzXEimaLmpK6EnEYtLj2JANK01k169uZ1EReM9WPInBn9SHvzupEgw6Bq9D3qDGqNfB56r9DalVwHWsNv5oRvpAVkktDR1jdeVi6UqLo+kiAuEM5vtQrfhm5ue8uBRKI97hvNlO1j6fEcrIqpKjAtm3A/hdxthjjDE/Y+xpAL8B4Oc55/+n/MPTFqubWUwNWqmUFbXeujGvRbHS4limhHypSkJPLbJw2geBA88HerO8uOEh65AjIyuWFnfeI/vylSSqgvJlxQAw5rXAbtZLZnlzGIv1svajNmENwacOene1KgbnthkhcCBXrM0zzjliGs3IArt2SkeJsojzr1crnkY9FuhlOPzdThXhcxq74iU6Us9YyXGA7HOaEE1JL/aktHL5Xv9dKRBbg5TUVlALC3M+cADnOtzPbCWKMBt0XRcDI5rj0ECWc74B4OcAvA21LOyfcc4f4pyvdWNwWiIcy+OVaylc28njo58/j424soq9SrMRzyOSKuKnl6ItvR8b8dr799DjP+nofQxqzFZDLdgtBuh0wB99I9CVedzu593O4zbiefynv34NAPBXP7om+WuzS5SR3Yjn8YUfXAMA/PG3VhRfS3SMYXbc0RULnsXlKI4P2TDuPfy6nWnDg/Rmdjew2qracNpq8yxdLy9O5ysoV7lmA1n/mAOJbBk7RwQpK+E0XFZDz3o5GvQ6jA1Ie/i7Ec/j+dUEtpIl2dfzjXgeV7azAIBvPL8u+d/yOU2ylBYHo7VKurEBZfYKI+6a/64UbMTz+NIPLgMAPv33byh+71Aaq0kPvY7h//nWSkfzfytZwLDH3HUxMKI5jvSI4ZynGWMPAfhzAL/GGPsnzrm0Ems9wKe+8jpELZRgJIfHnryIJz5+RtlBKchjT15EvlQzL7++k8O//8JLuOuk54hHAa9cSTQe18n7GKyfalNpcWv8169ehFD3nO/GPH7syYu4Xu+9bHeeNPu4vY/ZSRYlf22i5Vangexjf3MBOfEaiOZVsZbMjjnxj0vrKFWEfS1xpCCVL+P1a0l86C1TR/6uw2LAhNfaUZ9sMJqD09p9y41OEcebylcwNrDXQ1ajgexELcMaCGcO7UELhDPwTzh7ejM5NWiT1ILnsScvolSpbUzkXs8fe/Jio0ogki5J/re8ThNeuZqU7PlEQtE8RjwW2da1oxjxmBHPllEsV2HusJrvv/zNBRTK6rp3KMnvf/ViQ6Swk/m/nSAPWTVzaCDLGEsDEOt9GAA7gBhjrAqAc85dMo9PM2zGd2N7zqFYb6hauPn150sCdpoonxEDDaCz9zEUzcNi1GHQpc3NnVLsfb+7MY+lmCfNPu6GubXP3+4UvY7BatJ3rFq8NyOjlrVkbsKBisBxbTsrW2nniytxCBx4sMlyav+EA69da39jG4rkFRF46RRXPZBN58WgQfSQ1Wam8tSIHXodQyCcwVvfNLjv7xTKVVzdzva8ncikz4oXV2OoClySUuBurudy/y2f04RMoSJJwLcXpdeBvV6ynY5DjfcOJZFqTm4nCw3bN0J9HBrIcs57sxlFBiYHbQhGcuAcYEx75WpSc/P7MTVow+d/594jH/fRz59vPA5ov39NlNPvRZsGOdn7uYnfy8mAY7dcrN150uzjbn6MHK/NbtEjW+ysR9ZjNyKWqfXyqmUtEYPXQDgjWyD73HIUXoexkaE7Cv+YEz96bQexTKktIZtQNIf7ZrQXGLmsN5YWxzSekTUZdDg5bDtUTOzyZhYC793+WJGpQSvKVY7NRAETR5TXN4PbZkQ82521RO49kChmFsuUJCsDFjjHejSPu5uoApKL4XqpvBSBrM20e/9Ry71DSW7ez7STVS2UqkjmKo3+b0J9aMcFXuU8/uhtmPBaoKtvqh9/9Dalh6Qojz96G6YGbS2/H+LjxPizXcGCmvVOfy/i7SC+/wCgY8B//VV55/H0qB06hrbnSSuPa3dOtoLDYui4tPiO426wNt4TORlxm+GyGmTrky1VBJxfjeMBv6/pw6fZhgdp6+XF2WIFsUxZc0JPwI2lxcBuabHcqrRycpTgkxjk9qpisYg4H0MSKReL7gHdWEvkXl/l8JLdSRZRrAiKKpeLSrhbHfbJVgVeK5s061V171CSvXNSxwCn1XCkqNzNbJFiseo5skeWaI6xASs+85HbAQB2OwVQYwPWtnoRxMdxzvHYkxfxjefD+IX7xzHkan4RKVUEbCUK+Pm7hlv++/2O+P7/8JUt/NE/BZDJS+OJuh/lqoDXr6fw3rtH8L//or+lx7Yzv9qdk61gNxs6Li1ej+Zx13EXHvvlWdWsJYyxRrAhB69eTSJXqrZkGTEzVvMgXQmn8UCLJadioKA16x0AsJlrAibpwm4g67IaFOvxkwL/uAPffWkTG/HCvkJfy+EMvA4TBlu4D2gR8fA1FM3hAXRWLZDOl7G8nsYH7x/Fr79tQva1RO71VY5AVg3K5T6nGXoda3iVtsvFYAqZYhWf+uXTePvtQxKNTtvsnZPffWkTf/ytFTz9yjbec/dI08+xLXrIUo+satHunY/oaRhj+MRD0+Ac+ML3WhPJXo/mwaE9Ww01cf+sFzoGLElgJn4Qr11LIles9pRNgN1i6Ki0uFQRcGU7h+kRdQSwe5kbd+DqdhbFcuf2QjeztByF2ajDPS2U+FlNekwN2rDcRnC9u4FV3/t8FIwxuKyGRmlxNF2CT+MBnn9P6fp+rITTPZ+NBWrZdpfVIElG9oXVWs/52Wm3BCNTnkYgm5IwkBVFIRWs3tLrGAZdpoZXabssLUdh0DGcmRmQaGS9xfvuGcGbJp144oeXkco37z8uevz2qlp6L6BIIMsY+xBj7AJjTGCM3afEGAj1MzpgwaNvn8Kzb0TxwkrzPmChaO3mpEUhF7Xgthlx+zEXFmUMZBcvRWE26HD3KeX6k6TGYdF3VFp8eTODqsAxPaq+uTs77oTAgctbWUmfl3OOxUAUZ6YHWhZx8Y87sBJOt1wuFozULTe82jxld9mMewLZomb7Y0WOD9tg1LN9+2RzxQqCkXzfiK1MDtokseBZXI5iwG7E7JhdglEpj8NSqzqIpqXzXA1G87Cb9RiwK6tcPuK2dJSR5ZxjcTmGu056Gur5xI3oGMPvPTKLdL6CLz99tenHbSeLMOgYvBpfY3sZpTKyrwP4JQA/VujvExrh3yxMYtJnxee+u9Z0JqjhIUsZ2Y6Y9/twZTt3gyK3VHDOsRSI4Z5pDywSKlAqTaelxWJGamZEfZtPMSMWWJe2T3Z1M4tIqtSWIu3suBPxbBmRFssNQ9E8xgasMOq1WZTkshkaPbKxdAk+DffHAoBRr8OpUce+Gdm1zSw4drO2vc6kz9o4jG2XclXAiyut9ZyrHcZYzUs2I21p8eSgTXFLpxGPudGL2Q7BaB7rsTwWWmjN6EdOjdjxwQcm8NRLm3gjlGrqMdvJIobc5p65jnoRRe7inPM3OOfLSvxtQluYDDp88uEZbMQL+OpPgk09JhTNY9BlgsXUOwGSEoglv0sB6bOyl7ey2E4W8WAPlRUD9dLiQqXlDKFIYCODAbsRPqf6vE0HXWZ4HSYENqTtk11ajoIBLfe5ArVyZ6D14DoUyWFSg/2xImJGtipwxDIlzWdkgXp2fSMD4aZrZ3m9P4SeRCZ9VsQy5Y4qO8Se84XTvRXYeJ0mSXtkg5GcKg68h90WxNIllKvC0b+8D4uXavfo+R67n8rBb7zjGAadJnzm26sNj9nD2EoUSOhJ5WiqBkEQBGSz6vXFyuXUOzYtMztswtvf5MXfPRfCwqwLE0eUA17fzmDcY1blXNHSHPFYgEmvBc9e3MF73ixt382PX9sEA/DmCasqP6d2MekECByIJjKwtnGQcimYxKkRG/J5aVRLpebUiBXLoZSkn9lP39jB3IQdRlSQzba2eR926KDXAReuxXH3sebKsQXOsR7L445jTs3OPZuRIZUrYzOagsABh5lp9rWIHPeZkC9VsRKMY9K3u8a/EUxg0Glqa35okSFHbd1YCcXbLgv+yetbMBkY/MNmTd1zjsJt1ePqdk6SuV4oVRFJlTDiMih+7XisDAIHrm8mMdpG0PTTN3ZwasQGm77a1mvppTnSDB955yT+2zcv42vPXsUjZw4XftqMF3DvSZfic0QNqHWeyJaRZYw9zRh7fZ9//1OLz/MxxtiLjLEXI5GIXMMlVM5vvWMSJoMOTzx9/dBsF+cc67ECxjXa+6Y2zs64cSGY7liJ92ZeWEvCP26HR+HeJKmxmWub0HYEn/KlKtZjBVUKPYnMjNgQihaQL0kj+LSTKuHKdh5np9vrkzYbdTg2aMXaVvM32EiqhFKFY8Kr3VN2p9WATLGKeD2w8zq0fx1N18vp127qwV7bzGFGhT3jciEe1K7H2is15ZzjhbUE7j7hgtmozdL5g/A6dj22OyUcr/Wkjg8ov1cYdtcqKnbaELJKZMsIhLM9I+rVDeZnPbjnhAtP/jSM2CGl6uWKgHi2jCGX9iteehnZMrKc85+X6Hm+BOBLAHDfffdxtdhRHIYWxqg17HbgI+86gc99dw0vXMninXfsb60Ty5SQKwk4NepU9eeg5rHt5e1vHsU/Pr+FC+EC3nXAe94qO6ki1rZy+O13n9DM+9AsXnft9XCdseXXdiWahMCB208MwGarlbup7f25/YQX/LkNbKQE3HG8857FZy4kAAA/d8do2691bsKNn16KwGazNtXrFtmoBQjT4x7Vvb/NMui2oioAYivl+KC617tmmLNaYTbqcC1SaryWdL6MjUQR7793TPOvr1lOWWp+9DuZaluveXUjg0i6jN985/ANj++F9290wI5CeRvMYIKtQ1GjaK7WIjE7qfw6cGyktm6liq1/Ts8GNsHR2RoqovT70E1+7xf8+J0/fQl/9ZMNfOqX37Tv76yL6vZD2l9fpURt70VvHdcRPc3D943BP+7Al35w+cD+ITXI6fcScxNOeOxGSW14xOfqJdsdEYeltrlqp78tsF7bWKlZ1KYh+LSPumw7LC5HMemzdqQwPjfhQDpfadgkHIWWPWRFXNZaBvbaTu219EKPrF7HMDPmuKEHe6X+tX+iP/pjgZrw1diAtW3l4k56ztWOzyWdl2wokgcD9vUt7jZDbjMYav2YrbK4HMOw24xTKhQIVDPjXit+9a1T+PGFCM6vxff9HVGAi3pk1Y1S9jv/M2MsBGABwHcYY99XYhyEttDrGD758AzimTL+4p+v7vs7ajA47yX0OoZ5vxcvrMbbFqK4maVADBNeq6YDiYOw10uLM4XWS28DG2kMukzwqliB1mM3YdhtPtDvsxWyhQpevZrs+EBj9ggP0psJRfNwWAxw27Rbjuuqj/3qTh46BgyoeM60gn/MgbWNTEOEZaX+mc6O9U8gCwCTg1YEI+31oy0GYrhtygWPvTfmxF4aXrISBLLBaB4jHgtMBuXzOUa9Dj6nCVvJ1ix4CuUqXlqLY97vVVx5WYt86C01V4zPPrWKUuXW/c123RJp2KN8+TlxMEqpFv8j53ySc27mnI9wzt+nxDgI7eEfd+KRs2P49osb+3oOBiN5mA06DJF5tWTMz/mQK1bx6tVkx8+VK1bwypUE5ud688ZrFzOyxdYzsivhjKqzsSKz4w5JMrIvrsVRETjmO7SMONHwIG02kK0plWp5/rlstXl2PZKHx26CXqfd17IX/7gTxYqA6zu1IC4QTmNswAKnVbuHDu0w6bNiPZpvSlV1L9vJIlY3Mh1fU2pFykBWbcrlwx5LyxnZn11OoFgRSK24TUwGHT7xgWmEYwX83bO3umJsJQrQMWDIRftJNaP8URRBtMiH33UCbpsRn/nOrfLpoWge4z4reX5JyD2nPDAbdJKUF5+ObN/PAAAdcElEQVRfi6Nc5T1ZVgy0X1qcLVQQiuY1YTHiH3MiHCsgne9MdGVxOQq3zYA3Tbo6eh6jXoeTI/amg+tQJK+qDWw7iBnZWKbcE2XFIrM3la7XDnfUf01IzdSgDeUqx06LGbpzgd62YRGrVaLp1t6Xm+Gc1zxkVVS5NeIxNzKAzbK4HIPNrMedJ0joqV3uPTWAd7x5CF99Noj12I3l/FvJIgZd5p45KOxVKJAlNIfDYsDH3nsKgXAGT53fuOFnwUiuJ0tWlcRi1OOeaQ+WArG2/VFFFpdjcFkNuG2qs+BFrYgZ2VZVnhu9gBrIyIr9iqsd+MlWqgJeWInjfr9Pkk3C3LhzXw/Sm8kVK4ikS6rawLbD3rLoXgpkJ3xW2Mx6BMIZJLIlbCWLmrgmpEacn8Foa+XFYs/5sR7ViLCZDbCZ9B1nZCPpEgploaPefKkZdluwkyo2nYUXOMe5QBRnZwZg1NNWvhM+9t5TMBp0+NxTqzfscbaTBQxTdZ/qodlPaJJ33jGEu0+68eVnriJel08vVQRsJQqa36SqkQW/D9vJIi7fZI3RClWB4/mVGO73e3v2hNNk0MGoZ8i22CMrZqC00AsojrGTPtnXr6eQKVSwIJEgzey4A7litaEyeRANFUqfejaw7WA36yFeQt4eCmR1jGF2rFa6LpaK92dGtnYPE4XJmiFbrOCVK0nM96DI0168TlPHgWxDFFJFe4URtxlVgTf92pbX04hnyz2bfe8mPqcJH37ncZxfS+DHF3dtPrcSRYxQf6zqoUCW0CSMMXziAzMolgU88cMrAICNeB4CB6Y0vklVIw/4vWConfi3y4XrSaTzlZ4tKxZxWAwtlxYHwhmMeiyNklE147QaMTZg6ahPdnE5CqOe4cz0gCRjErN2R/XJBqPaVywGauuf01rL/vdSRhaofZZXtrK4GEyBAZjRwOGO1LhtRjgshpYEn86vij3nvb2++pwmxDoNZFW4DogB03ayuT7ZxUtR6BhwdkaaNbTfeeTsOGbGHPjC9y4jW6ygKnBEUkWMUEZW9VAgS2iWY4M2fOgtk3jm1W28cjXROL3Wev+bGhlwmHB60onF5Vjbz7G4HJM0eFErdosBmRbFnlbCGU1ZjPjHHU2LK90M5xxLyzHcc2oAFpNekvEcG7LBbNAdGVyHIjWVXzVYbnSK0yIGsr210fKPO1Cucjz96jamBq0d+4VqEcYYJn2tWfAsLkd7um1DxCdBRjYYycNq0qtKIX64bvHSbJ/sYiCGO0+4+04ITS52XTFK+OsfXUMkVYTASbFYC1AgS2iaX33bFEY8Znz2O6u4sl0re51QUblQL7Ew58PqRgY7qdaFNjjnWFyO4u6THlglCl7Uir3FjGwyV8ZmogD/mHZ6Af3jTmwli0hkW99QXt3OYTNRwIKEyqoND9IjgutQNKcay41OEZWLezEjC9QUeGf7sD9WZGqw+UC2UhXw/EocD/Rw24aIz2lGNF3sSK9BjcrlYi9mM37Y67E8ru/kMO/v7ex7tzk94cQHzoziG8+HG9Vn5CGrfrR/Nyf6GotRj088NIPrkTz+4bl1+Jwm2PvwBL8biCXB7agXX4/ksBEv9HxZMQA4LPqWemQbXpka6gUU+xZX2hB8EjcID0i8CZsdd2B1M3OoWEowoi6l0k7o1dLiEY+58dr6sT9WZNJnQzRdQq6J6o5Gz3kfrK8+pwnlKkc637rFmYgalcstRj08diO2m1CqFu/B/fB5d5uPvPsEXDYj/qzesjbipoys2qFAltA8D/i9OHPKg1ypimi6hI9+/jw24s2XZBHNMTVoxbjX0lZ58eKl2mN61d9wLzazoSXVYi0JPYk46oHGf/nKBfzm//s8fnxhGxeuJ4/89+ML2/ibH18HAPynv35N0uvUP+5EsSwc2FcocI51lVlutMtGPI/Xr9fmzR987Y2eWu82EwWUKwIA4OtL6z312lpBDLSOEjADaoGNUc9wb4+3bQCde8le285iK1nEv7y2o7q9wrDb3FSP7NJyDCeHbRgdoCBLapxWIz704ATK1dqB6O9/9YKq5ghxK5S6InqCveU4wUgOjz15EU98/IyCI+o9GGOY9/vwzefDyBYrLWW+lwJR+McdPdfPtx+tij2tbGQw6bM2rHu0wB/+wzIAgKOm7Pjpry23/BxSX6diRnt5PY0Tw/Zbfh5JFVGsqMtyo10ee/IissVa1n89Vuip9e6xJy+iUK4FstvJYk+9tlZoWPBE8oeWWNfaNmK451Tvt20ANwayJ0duvc6P4lNfeR1Abe1S215hxGPBlSOcAVK5Ml6/nsSvvHWqS6PqP77/8lbj61A0r6o5QtyKdnZOBHEIG/HdQJbzXXl9QloePO3D15fWcX41jrffPtTUY2KZEi6F0vjNdx6XeXTqwGExNIKMZgispzVnaH/z9cUY8Olfe/ORj/vUV16H2Nom9XU66bPCZtJjJZzB++659efBHhKD2/u+9dp618uvrRXGvVbo2NFestd2aj3nv/LWyS6NTFnEw9BounWthkK5ip3UbiZXbfNrxG3Gubpf+0H9u8+vxCBwKiuWk7296WqbI8StUCBL9ASTgzYEIzlwXttUT/ZA1kWN3DblgtNqwFIg1nQgey4QAwd63hZCxGbWo1QRUKoIR4oKRdMlRNIlzYna3Hy9TQ3amlKjnpLxOtUxhplxBwIH9O2GesRDFujt9a6XX1srmAw6jHgsRwo+7fac937bBrDrm9xOafGTPw4CABhqGVm1za9hjwWlioBEtoyBAxSVlwIxeB0mTWkqaA1ag7QF9cgSPcHjj96GqUEbdPVN9eOP3qb0kHoSvY7hAb8X5wKxQ0V19rK0HMWIx4yTw/1xM3DUS4SbKS9e2aj1OWpN1Kbd603u69Q/5sDlzQzKVeGWnwUjOdhMengd2rerePzR2zDhtfTkekdr+S5Tg9aGrdxBLC7HMDfh7Iu2DaAW4Duthpa9ZK9HcvjacyE8eNqHqSF1zi/Rs3TrAOXiUkXAi6txzM95oVOR4nKvQWuQtqCMLNETjA1YqYehS8z7fXj6lW28fj2Ju054Dv3dQqmKly4n8IF7R1VldSAnjUC2WDnwVF1kJZyBjgEzo9oKZNu93uS+Tv0TTpSrHFe3c7eIZ4WiNaXSXpiHYwNWfOYjtwMA7PbeOiCitXyXSZ8Nr1xJQuB838Almi5heT2N3+qTtg0Rn9OEaKb5QJZzjs9+ZxUWkx7/4ZEZeOzqVPoeqXuWbiWLOL1PpfgrVxPIl6pUViwztAZpC8rIEgTREmemPTDqGZaaUC9+6XICpYqAhdP9c+MVRZsyTVjwBMJpHBuywdIHIi3doGELVFeC3ksoku8JoSeif5j0WVGsCIgc4N19LtCfNiw+p/nA92Q/fvTaDl65msRvv/uEaoNYABiue5ZuJ/Z/bYuXorAYdbj75OEHyATRT1AgSxBES9jMBtx90oPF5eiRpvRLy1HYzXq8+ZirS6NTHrulFpQeVVrMOUcgnNFcf6yaGfVY4LAYEAjf2CdbKFWxkyr2hPUO0T+IwmTBA8qLF5djGPVYcKJP2jZEfE5T06XFmUIFX/zBZcxNOPHQmVGZR9YZdrMBDoth39JizjmWAjGcmRk4UnuBIPoJuhoIgmiZ+TkfNuIFXNs5WM2vKtRuvGdnvTDo+2epabZHdidVQiJbhl9D/rFqhzEG/7jjlozsekwUeqJAltAOYgXBfqqphVIVL1+u9Uv2Qrl8K/icJsQypaZ0Gv7imatI5cr4vYdnNNFXOuIxYyt5a0Z2dSODaLqEBX9/Zd8J4ij6Z3dJEIRkzNcVMg8rL760nkYyV+67srfd0uLDA1kx2PJPUEZWSvzjTlzZzqFU2RV8CtYDAVKfJLTEgN0Im1mP4D7KxefX4ihXed+tr0AtkBU4kMyVD/29QDiNb7+4gV88O44ZjRwYDrst2E7empF9bjkKHQPu7xN1aoJoFgpkCYJomUGXGf5xR8P6YT8WL0Vh0DGcnTnalqWXsJvF0uLDe2SXwxnodQynRuzdGFbf4B93oCpwXN7cLS8ORfJgACa8FuUGRhAtwhjDpM+6rwXPYiAGh8XQV20bIr4mLHiqAsdnvr2KAYdRUx7mIx4zthLFW9p2lpZjuG3KBbdN+6rrBCElFMgSBNEW834fLq2nETtAPXIpEMWdJ9yNDGW/YDXpoWM11eLDWAmncXLYRv1OEiP2HO/tkw1G8xh2m2E2kqgWoS2mBm23WPBUBY7nA1GcnR3oq7YNEW/daiiaPljw6TsvbmBlI4Pfed8pTd2DRtwW5EtVpPdU9GwmCri8le0bL3aCaIX+WwEJgpAEUYn4XODW8uJQNIdgJN+XN17GGOwWw6GlxaLQk5+EniRnyGWCx25EYE+fbM16h8qKCe0x6bNiJ1VEobRb4fFGKIVkrtKXZcXAbkb2IMGnWKaEL//zVdxzyoOfu32om0PrmP2Ui8/VK58e7NPPmyAOgwJZgiDa4uSwDSNu877lxYv13tn5Pu3nsZsNh4o9bcQLyBQqmB3XRt+WlqgJPjkbGVnOOdajeUyR0BOhQabqysV7y4uXlmMw6Bju67O2DRGvwwSGg0uLv/SDyyhXBPzuB6Y1J4TV8JLdo1y8GIhhatCKCVrDCOIWKJAlCKItGGNYmPPh5cuJG7IFQM12Z3rU3rgp9xsOix7Z4sE9smKQRRlZefCPOxCM5JAvVRFNl5AvVRtWJgShJSZ9deXi6K5y8eJyFHeddMNu1k7JrJTodQwDDiMiqVsD2Zcvx/Gj13bwobdMNt47LTHirmVkReXiTKGCV68m+zb7ThBHQYEsQRBtMz/nRaki4KXL8cb/S+bKuBhMYb6PbQKOKi1eCadh1LO+83/sFrPjDggcWNvM7CoWUzaD0CDjXgsY0OiTDUZyCEXzfb2+ArU+2Vjmxh7ZUkXAZ59aw9iABb/61imFRtYZTqsBFqOukZF9cTWGqsD7sk2HIJqBAlmCINrmjuNu2M36RikxADwfiEHgwMJcf5YVA7VA9rDS4sBGBtOjjr4UaukGYqY7sJ5plGRSjyyhRcxGPYY95oYFj9jKMd/H6ytQ65O9ubT4a8+FEIrm8YkPTGtW2I0xhhGPBdv1jOzicgxumxGnyaaNIPaFdlEEQbSNQa/D2VkvzgViDXP6xUAUg06TZnz75KAWyO5fWixwjtVwhvpjZcTrMGHQZUJgI41QJA+LUYfBukAMQWiNSZ8NoXplwdJyDDOjdgy7+7NtQ8TnuDGQ3Yjn8eRPgnjbbYM4O6PtIH/EY8Z2ooByVcALKzHM+73Q67TV60sQ3YICWYIgOmJhzotkroxLoRRKFQHnV+OYn/NpTmRDShxm/YEZ2VA0j1ypSv2xMuMfd2IlnEGwrljcz/OR0DZTgzUv2US2VGvboDJT+JwmJLJlVKoCOOf4/HfXoNcx/M77Tik9tI4ZdluwmSji9WtJZItV+rwJ4hD6UymAIAjJODtTOy1eXI4hW6yiUBb6XpjCbjEgV6qiKvBbTtJXGkJPlJGVk9kxB567FEU6X8Y9p/pT3ZXoDSZ9VhTKAp46vwkO9P36CgBe0YInU0YgnMbzK3F87L0nMeQyKzyyzhnxmJEpVPDMazswGXS4d9qj9JAIQrVQIEsQREfYLQbcecKNpUAU2WIFVpMed55wKz0sRbFbaktrrliB02q84WeBcBpmow5T1LMpK3P1nrJkrkLWO4SmEdeKfzoXxqDLhOlRu8IjUh6fsxawrkdz+NPvreHkiB0ffGBC4VFJg1g2/i+vbePM9AAsGu33JYhuQKXFBEF0zILfi2Akj395bQf3zQzAZOjvpcVRD2T365MNhDOYGXNQz5PMzO7p0SbrHULLiIrbyVwZC/7+btsQGXTVMrJ/+r3LiKRK+OTDMz2zpo54akF6uUpqxQRxFP292yQIQhJO1TMEuVIVF4MpbMTzCo9IWezm2gn6zRY8VYFjbSMDfx8LYXWLbLHS2Nh++ZlrfT8nCe1SqggQQ7RzKzGaywAqVQEAcG0nB7tFD6/DeMQjtMnXngvS500Qh0CBLEEQHfOZ76w1vo5lSnjsyYsKjkZ5xNLimwPZ6zs5FCsCCT11gceevNhQ0t5KFvp+ThLa5fe/ehG8/vVOqkhzGcAf/VOg8XWuWO2p9+T//sbua1uP0dpFEIdBgSxBEB0jWkMAAOc3ft+POPb0yO4lEE4DAPwTlJGVG5qTRK9Ac/lWRH9ooPfek15+bQQhNRTIEgTRMTV7k9rXjNW+72fsFrG0+MYe2UA4A5tZj3Ev9WzKDc1JoleguXwrvfye9PJrIwipoUCWIIiOefzR2zA1aIOO1RQ2H3/0NqWHpCgHlRYHwmnMjjmgI7EW2aE5SfQKNJdvpZffk15+bQQhNWS/QxBEx4wNWPHEx88oPQzVYDfXS4v3BLLlqoArW9mesYhQOzQniV6B5vKt9PJ70suvjSCkhjKyBEEQEqPXMVhN+hsysle3cyhXOfzj1B9LEARBEATRKRTIEgRByIDdokemuNsjG1ivCz2RYjFBEARBEETHUCBLEAQhAw6L4YbS4kA4A5fV0DC7JwiCIAiCINqHAlmCIAgZsJsNN5QWr2ykMTvuBCOhJ4IgCIIgiI6hQJYgCEIG7BYDsvVAtliu4up2jvpjCYIgCIIgJIICWYIgCBlwWPTI1ntkL29lURVI6IkgCIIgCEIqKJAlCIKQgb2lxYFwBgAwS0JPBEEQBEEQkkCBLEEQhAyIpcWcc6yE0/A6jBh0mpQeFkEQBEEQRE9AgSxBEIQMOCwGCBwolAUshzMk9EQQBEEQBCEhFMgSBEHIgN2iBwDspIoI7uTgH6P+WIIgCIIgCKlQJJBljP03xtglxtirjLF/ZIx5lBgHQRCEXNgtBgDAK1cS4KD+WIIgCIIgCClRKiP7QwBv5pzfCSAA4D8rNA6CIAhZcNQD2Z9dSQAAKRYTBEEQBEFIiCKBLOf8B5zzSv3bJQCTSoyDIAhCLuzmWmnxz64kMeQyY8BBQk8EQRAEQRBSYVB6AAB+G8DfNvOLgiAgm83JPJz2yeXUOzZCHdAc6R909bO6TKGC26ccLa1dNE+Io6A5QjQDzRPiKGiOEM2g1nkiWyDLGHsawOg+P/oU5/wb9d/5FIAKgK8c8jwfA/AxAJiampJhpARBENIjZmQBYHrEpuBICIIgCIIgeg/ZAlnO+c8f9nPG2IcBPALg3ZxzfsjzfAnAlwDgvvvu43a7+jeEWhgjoSw0R3ofo1lofP3mE962PnOaJ8RR0BwhmoHmCXEUNEeIZlDbPFFKtfj9AP4jgF/knKszV00QBNEB0XSx8fXnv7uGjXhewdEQBEEQBEH0FkqpFn8WgBPADxljP2OMfUGhcRAEQcjCY09ebHy9Hsvf8D1BEARBEATRGYqIPXHOZ5T4uwRBEN0iFNktNuH8xu8JgiAIgiCIzlAqI0sQBNHTTA7awFjta8Zq3xMEQRAEQRDSQIEsQRCEDDz+6G2YGrRBx4CpQRsef/Q2pYdEEARBEATRM6jBR5YgCKLnGBuw4omPn1F6GARBEARBED0JZWQJgiAIgiAIgiAITUGBLEEQBEEQBEEQBKEpKJAlCIIgCIIgCIIgNAUFsgRBEARBEARBEISmoECWIAiCIAiCIAiC0BQUyBIEQRAEQRAEQRCaggJZgiAIgiAIgiAIQlNQIEsQBEEQBEEQBEFoCgpkCYIgCIIgCIIgCE3BOOdKj6FpGGM7AK4pPY4jGAQQUXoQhKqhOUI0A80T4ihojhDNQPOEOAqaI0QzdHOeHOecDx31S5oKZLUAY+xFzvl9So+DUC80R4hmoHlCHAXNEaIZaJ4QR0FzhGgGNc4TKi0mCIIgCIIgCIIgNAUFsgRBEARBEARBEISmoEBWer6k9AAI1UNzhGgGmifEUdAcIZqB5glxFDRHiGZQ3TyhHlmCIAiCIAiCIAhCU1BGliAIgiAIgiAIgtAUFMhKBGPs/YyxZfb/t3e/oXqXdRzH35/OdtKmNf8hwxkuZo0hefTBcDlsrlKrkSFhWcGMoCc+MMpKRZAEH/SkP1DUA6cZ5JatVqNAHDbRYs2/ky3XHxsTN9RJKaWYY/Pbg9915u1pQdA5+933zvsFh/u6rt/v/vG94cu5zvdcv+t3J08lub7veDQcktyeZH+SnQNjJyfZnOQv7fWkPmNUv5KcmWRLkieT/CHJtW3cPNFhSY5L8lCSJ1qefL2NL0qyrc09P0ky3nes6leSsSSPJ/lV65sjepMke5LsSLI9ySNtzDlHhyWZn2RDkj8m2ZVk+TDmiIXsNEgyBnwP+DCwFLgqydJ+o9KQ+CFw2ZSx64H7qups4L7W1+x1EPhyVS0FLgCuab8/zBMNeg1YVVXnAhPAZUkuAL4BfKuqFgMvAp/vMUYNh2uBXQN9c0RHcnFVTQx8nYpzjgZ9B7inqpYA59L9Thm6HLGQnR7LgKeqandVHQDWA5f3HJOGQFU9APx9yvDlwJ2tfSfw8aMalIZKVT1bVY+19j/pJoszME80oDovt+7c9lPAKmBDGzdPZrkkC4GPAre1fjBH9L9xzhEASd4BXASsBaiqA1X1EkOYIxay0+MM4JmB/t42Jh3J6VX1bGs/B5zeZzAaHknOAs4DtmGeaIp2y+h2YD+wGfgr8FJVHWynOPfo28BXgddb/xTMEf2nAu5N8miSL7Qx5xxNWgS8ANzRtinclmQeQ5gjFrJSj6p7bLiPDhdJTgB+Bnyxqv4xeMw8EUBVHaqqCWAh3Z1AS3oOSUMkyWpgf1U92ncsGnorqup8ui1x1yS5aPCgc86sNwc4H/h+VZ0HvMKU24iHJUcsZKfHPuDMgf7CNiYdyfNJFgC01/09x6OeJZlLV8T+uKp+3obNEx1Ru8VrC7AcmJ9kTjvk3DO7XQh8LMkeui1Oq+j2uZkjepOq2tde9wMb6f4x5pyjSXuBvVW1rfU30BW2Q5cjFrLT42Hg7PZkwHHgU8CmnmPS8NoErGntNcAve4xFPWt72NYCu6rqmwOHzBMdluS0JPNb+3jgQ3T7qbcAn2inmSezWFXdUFULq+osur9DflNVn8Ec0YAk85KcONkGLgF24pyjpqqeA55J8p429AHgSYYwR9KtDOv/leQjdHtTxoDbq+rWnkPSEEiyDlgJnAo8D9wM/AK4G3gn8DRwZVVNfSCUZokkK4AHgR28sa/tRrp9suaJAEjyXrqHa4zR/RP67qq6Jcm76FbfTgYeBz5bVa/1F6mGQZKVwHVVtdoc0aCWDxtbdw5wV1XdmuQUnHPUJJmge2jcOLAb+Bxt7mGIcsRCVpIkSZI0Ury1WJIkSZI0UixkJUmSJEkjxUJWkiRJkjRSLGQlSZIkSSPFQlaSJEmSNFIsZCVJmkFJDiXZnuSJJI8leV/fMUmSNOr8+h1JkmZQkper6oTWvhS4sare33NYkiSNNFdkJUk6et4OvAiQZGWSB5L8OsmfkvwgyVvasUuSbG0ruD9NMlkI70myfvJiSdYn2dPa40k2JtmZZMfkuCRJx6I5fQcgSdIx7vgk24HjgAXAqoFjy4ClwNPAPcAVSe4HbgI+WFWvJPka8CXglvaeBUlOAtKuN+lSYG5VnZPkVOCRGfxMkiT1ykJWkqSZ9WpVTQAkWQ78KMk57dhDVbW7HVsHrAD+RVfc/i4JwDiwdeB664BP0xWydwE3tPFDwNuSjM3sx5EkqX8WspIkHSVVtbWtlp42OTT1FLoCdXNVXfVfLrMJuKOddzVvFLL3AlcALwD7pjFsSZKGjntkJUk6SpIsAcaAv7WhZUkWtb2xnwR+C/weuDDJ4vaeeUnePXCZA+2cra0NQFUdBF4FvgJcPNOfRZKkPrkiK0nSzJrcIwvdKuqaqjrUbht+GPgusBjYAmysqteTXA2sS/LW9r6bgD9PXrCqbgZoq7u09pXAiVW1dnBckqRjkV+/I0lSD5KsBK6rqtV9xyJJ0qjx1mJJkiRJ0khxRVaSJEmSNFJckZUkSZIkjRQLWUmSJEnSSLGQlSRJkiSNFAtZSZIkSdJIsZCVJEmSJI0UC1lJkiRJ0kj5N0WICPDZXDOyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = check_df(uniq_csv, period = 60)\n",
    "if result['response'] is True:\n",
    "    # пишем аналитику, что у нас выброс\n",
    "    print('Есть выброс')\n",
    "    print(result['df_zscore'])\n",
    "else:\n",
    "    # все ок, выбросов нет\n",
    "    print('Выбросов нет')\n",
    "\n",
    "    \n",
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "ax.plot(result['df_zscore'],\n",
    "        linestyle = '-', color = '#4680C2',\n",
    "        marker = '.', markersize = 8, markerfacecolor = '#4680C2')\n",
    "plt.title('Z-распределение количества действий')\n",
    "plt.xlabel('Время')\n",
    "plt.ylabel('Количество действий')\n",
    "plt.grid(which = 'major',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.grid(which = 'minor',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Так и прошедшие 5 минут:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Выбросов нет\n"
     ]
    },
    {
     "data": {
      "image/png": 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6XkcUERFUdkVEJISen1nEJ0u38MsLm9OpINXrOCI1Ki0pjuvOb86AM3OZ/FERr84p5X/zN3LBSY0Y0iuPhqkqvSIiXlLZFRGRkJi9Yivj3l/D2Z0a0P/UJl7HEQmZjPpx/OLCFgw4M5dJHxXxxhfreXveBi7q2phBPfNooBkNIiKeUNkVEZEaV7ptDw++sJSmjZL47SWtMDOvI4mEXFZKPDdc3JIre+Tx/My1vPHFet78cj0Xd8tm0Fl5ZCbHeR1RRKROUdkVEZEaVbG/ktGTCwEYObAd9eKiPU4kcmI1TI3n15e0YuBZeUz8sIhXZq/jjS/Wc0n3bAb2yCW9vkqviMiJ4OmSmGb2tJltNLOFh7ndzOwxM1thZvPNrOuJzigiIsFzzvHYqytYub6MWy9vQxOtTit1WOO0evxfv1Y8fVN3endswEuflTDi0dk89c4qtpft8zqeiEjE8/r8D/8FLjzC7RcBrfwf1wH/7wRkEhGRYzR9dinvzt/IsD4FnNIqw+s4ImEhOz2BP/RvzVM3dOes9lm88EkxIx6dzdPvrmZn+X6v44mIRCxPy65z7kNg6xHu0h8Y53w+BdLMLPvEpBMRkaOxcO0OnnhrJae3zmBIrzyv44iEnZzMBG6+rA1P/Kobp7fJZPJHRYx4dDZj31/Nrj0qvSIiNS3cj9nNAYoCLhf7rys93AOqqqooKysPda5jVl4evtmk7tA4lJq2dfd+Rk9eTMOUOG44P4895XuCepzGooSDEz0OMxPg1xfm8+PuDZg8q5QJHxbx0mfr6NetIX27NSIpXse510X6eSjhIpLGYriX3aCY2XX4pjmTl6e9CSIiJ9L+yioefuVr9uyt4u4BrUmqFxG/WkRCLj8rgT/0a87qTeVMmlXK87NKefWLjfTr3oi+XRuSoMXdRESOS7j/RVICBLbXXP913+GcexJ4EqB79+4uKSnxxKQ7DrUho0Q+jUOpCf98fQVLSsq47Yq2tG+aeUzPobEo4cCrcdghKZFRTbNYXrqbZ2esYcJH63h17kYGnJlLv1ObqPTWMfp5KOEiEsai1wtU/ZDpwHD/qsynAzucc4edwiwiIifWO19tYPrsUq44I4c+HRt4HUekVmuVXZ97hnTgsZ+dRNvcZJ5+dzUjHp3N1FnFVOyv9DqeiEit4+meXTObCPQBssysGLgbiAVwzj0OvA5cDKwAyoFrvUkqIiKHWlG6m8deXUHnpqn89LxmXscRiRhtcpIZfVVHCot3Mn7GGv79ziqmzipm4Fl59O3WmPhY7ekVEQmGp2XXOTfkB253wA0nKI6IiARpZ/l+Rk1eTEpiDHcMaEt0lHkdSSTitMtN4f6hnVi4dgfjZ6zhibdWMuXjYgb3zOOiro2Jiwn3CXoiIt7ST0kRETkqlVWOB6ctYeuufdx1ZTvSkuK8jiQS0Trmp/LQ8M6MGdGJnMx6/OuNr7n277N5dU4p+yurvI4nIhK2wn2BKhERCTPjZ6xh7tfb+c0lLWmbm+J1HJE6o0vTNDqPSGXequ2Mm7GWv7+2gkkfFXFVr3x+1KUhMdHahyEiEkhlV0REgjZryWYmziziwpMbc3G3bK/jiNQ5ZsbJzdM5qVkaX6zczrj31/C3V5bz/Mwiru6dz7mdG+qwAhERP5VdEREJStHmcv784jJaN6nPDRe38DqOSJ1mZnRrkU7X5mnMXrGNce+v4ZGXlzFx5lqG9i6gT8cGKr0iUuep7IqIyA8q33uAUZMWExtj3DWwvRbGEQkTZsaprTI4pWU6ny7byrj31zDmxaVM+HAtQ3vn06uDSq+I1F36a0VERI7IOccjLy+jeMsebh/Qjoap8V5HEpFDmBlntMnkn9efzF0D2xETbTw4bSm/ePwLPly0iSrnvI4oInLCac+uiIgc0dRZJXxUuIWf/agZJzVL8zqOiBxBlBlntcvizLaZfLR4M+NnrOG+qUto1jCRYX0KOLNtJmba0ysidYPKroiIHNaXK7fx9Lur6Nk+iwFn5HgdR0SCFGVGrw4N6NEuiw8XbeLZD9YyanIhLRsnMbRPAae3zlDpFZGIp7IrIiLV2rC9gvunLiE3K5Hf92+tP4xFaqHoKOPsTg3p1aEB7y/YyLMfrOVPzy+mdZP6DOtTwCkt0/V/W0QilsquiIh8z74DVYyeXMiBKsfdg9qREBftdSQROQ7RUcZ5XRpxdqeG/O+rDTz34VrumrCItjnJDD+7gK7N01R6RSTiqOyKiMh3OOf4+2srWF66mz8Nbk9uZqLXkUSkhkRHGRec3JhzOzfk7XkbmDiziNufXUiHvBSGn11Al6apKr0iEjFUdkVE5Dten7uet+dt4KqeeZzRJtPrOCISAjHRUVzcLZvzujTirS/X8/zMIm4Zt4DOBakM65NP56ZajE5Eaj+VXRER+UZh8U7+9cbXdG+ZztA+BV7HEZEQi4uJ4tJTmnDByY154wtf6f3j2AWc1CyN4X3y6ZCf6nVEEZFjprIrIiIAbNu9j3snF5KVEs8tl7chOkpTGUXqiriYKPqf2oQLT27Ea3PXM+mjIn73zHy6tUhjWJ8C2uWmeB1RROSoqeyKiAgHKqu4f+oSdu05wF9/2oWUhFivI4mIB+Jjo7n89Bwu7tqYV+aUMuXjIn77n684tVU6w/oU0LpJstcRRUSCprIrIiL853+rmb9mBzdf1oYWjet7HUdEPFYvLporz8zlku7ZTP98HVNmFXPTv+dxepsMhvUuoGW2fk6ISPhT2RURqePeX7CRaZ+W0P/UJpzbuaHXcUQkjCTERTPorDwuOSWblz9bxwuflHDDk1/So10mw3oX0KxRktcRRUQOS2VXRKQOW7WhjL++spwO+Sn8/PxmXscRkTCVFB/DVb3y6X9qE178tIQXPi3h48It9OqQxdDe+RQ0UOkVkfCjsisiUkftrjjAPZMWkxQfwx0D2hEbHeV1JBEJc0n1Yhjap4D+pzVh2iclvPjZOmYu2kzvjg24unc++Vk6L7eIhA+VXRGROqjKOR6atpRNO/Yy5prOZCbHeR1JRGqR5IRYRpzTlMtOz2HqrGJe/nwdHy7axNmdGnJ173xyMhK8jigiorIrIlIXTfhgLZ8v38qNF7egQ55OKSIixyYlMZafnNeMy8/IYcrHxbwyu5T3F2zkvC6NuKpXHtnpKr0i4h2VXRGROubTZVsY/8FazuvSkEu6Z3sdR0QiQFpSHD8/vzlXnJnLlI+LeXVOKe/O38j5JzViSM88GqXV8zqiiNRBKrsiInVIydY9jJm2lBaNk/h135aYmdeRRCSCZNSP4/oLmjPgzBwmfVTM63NLeWfeBi44uRGDe+bTMDXe64giUoeo7IqI1BEV+yoZPWkxUVHGyIHtiY+N9jqSiESozOR4fnVRC67skcvzM4t484v1vD1vAxd1bczgnnlkJqv0ikjoqeyKiNQBzjn++spyVm8s576hHWmcrimFIhJ6DVLiualvSwb2yGXizCJem7ueN7/cQN9ujRl4Vh4Z9bU4noiEjsquiEgd8OJn65ixcBPXntOUbi3SvY4jInVMo7R6/PbSVgw+K48JH67l5c/X8frc9Vx6SjZX9sglLUmlV0RqnsquiEiEm796O/9+eyVnts1k0Fm5XscRkTqscXo9fte/NYN6+krvtE9LeHVOKf1PbcKAM3NJSYz1OqKIRJAorwOIiEjobNq5l/umLqFJRgJ/+HFrLUglImEhJyOBP/64DU/+qhtntM1k8sfFDH90Nv99bzU79+z3Op6IRAiVXRGRCLXvQBX3TSlk7/4qRg5qR1K8JvOISHjJy0rk1svb8sSvunJKq3QmzixixKOzGT9jDbsrDngdT0RqOZVdEZEI9fibX1NYvIvf929NQYMkr+OIiBxWQYMk7hjQjsd/0ZWTm6fx7AdrGfHobCZ8uJayvSq9InJs9Da/iEgEeuvL9bw2dz0De+TSs32W13FERILSrFESIwe2Z0XpbsZ/sIax769h2qclXHlmLv1ObUJCnE6ZJiLBU9kVEYkwy9bt4u+vreDk5mlcc05Tr+OIiBy1ltn1uWdwB5at28X4GWt5+t3VvPBJMVeemcelp2RTT6VXRIKgacwiIhFke9k+Rk0qJL1+HLdd0ZboKC1IJSK1V+smyYy+qgOP/rQLLbOTeep/qxjx2GymfVLC3v2VXscTkTCnsisiEiEqqxwPvLCU7WX7uGtgO1J1Cg8RiRBtc1O4f2hH/nJtZ5o2TOKJt1dyzWNzePmzEvYdqPI6noiEKZVdEZEI8d/3VjNv1XZu6tuS1k2SvY4jIlLjOuSn8tDwTjx8TWdyMxP415srufax2bwye51Kr4h8j8quiEgEmLl4M5M/LqZvt8ZccHJjr+OIiIRUp4JUxozoxEPDO9EorR7/eP1rfvqPObw+t5QDlSq9IuKjBapERGq5NZvKeOTlZbTLTeYXF7bwOo6IyAlhZpzULI0uTVP5YuV2xr2/hkdfXcHzHxVxda98zuvSSOsWiNRxKrsiIrVYWcUBRk0qJD42ijuvbEdcjCbsiEjdYmZ0a5FO1+ZpzFmxjXEz1vCX6cuZOLOIq3vnc06nhiq9InWUyq6ISC1V5RwPv7yMdVv38NDwTmSlxHsdSUTEM2bGKa0y6N4ync+WbWXcjDU8/NIynveX3t4dGqj0itQxKrsiIrXU5I+KmbVkC9df0JzOTdO8jiMiEhbMjNPbZHJa6wxmLdnC+A/W8tC0pUz8cC1D+xTQs30WUabSK1IXqOyKiNRCc7/exn/fW02fjg247LQmXscREQk7ZkaPdlmc0TaTjws3M27GWu6fuoSmDRMZ2ruAHu0yVXpFIpzKrohILbN+WwUPvOD7g+3/Lm2F6Y81EZHDijKjZ/sGnNk2i5mLNzF+xlrunVJI80ZJDOtTwBltMvRzVCRCqeyKiNQiFfsrGTV5Mc7ByEHtqRcX7XUkEZFaITrK6NOxIT3bN2DGwk08+8Ea7pm0mFbZ9RnWp4BTW6Wr9IpEGJVdEZFawjnHY6+u4Ov1ZYwa0oEmGQleRxIRqXWio4xzOzekT8cGvDt/I899sJaRExfRJieZ4X0K6NYiTaVXJEKo7IqI1BKvzC7l3fkbGdY7n9NaZ3gdR0SkVouOMs4/qRHndGrAO19tZMKHa7njuYW0z0thWJ98Tm6m0itS23l6QkYzu9DMlprZCjO7tZrbrzGzTWY2z//xMy9yioh4bVHRTh5/ayWntc7gqt75XscREYkYMdFRXNS1MU/f1J2b+rZk444Kbhu/kD+Onc/81du9jicixyGoPbtmdnl11zvnph3rhs0sGvgn8COgGJhtZtOdc4sPuesk59yNx7odEZHabsuufdw7uZCGqfHcfFkbrR4qIhICsdFRXNI9m/NPasSbX6zn+Y+K+OPYBXRpmsrwswvomJ/qdUQROUpHLLtm1ts59wEwCVgMzAUO/pXlgGMuu8CpwArn3Er/tp4H+vu3c8yqqqooKys/nqcIqfLy8M0mdYfGYe2xv7KKUZOXUVZxgLuuaItV7qOsbJ/XsWqMxqKEA41DOdS5HdI4q3UK78zfxLTP1vP7Z+bTpSCZwT2a0KZJ/ZBsU+NQwkUkjcUfmsb8gP/fjsBSoD7woHPuWufcT45z2zlAUcDlYv91h7rCzOab2VQzy6vuiczsOjObY2ZzNm/efJyxRETCx9gZxSwpKeOGCwsoaKAFqURETpT42Cgu6daI//fzTozoncuqjXu4bcJS7n1hOctLy7yOJyJBCGoas3NuKTDQzLoBfzGzdcCfnHMlIU0HrwATnXN7zex6YCxwTjX5ngSeBOjevbtLSkoMcazjVxsySuTTOAxv787fyOtfbuLy03O4oFuu13FCSmNRwoHGoVQnCbiqT30uPzOf6bPXMeXjYm55bgmnt85gWJ8CWmbX7J5ejUMJF5EwFn+o7N4OYGZ/xzdtGWAl0BtYDhzPV6AECNxTm+u/7hvOuS0BF58CxhzH9kREao2v1+/m0VeW07kglZ+e19TrOCIidV69uGgG9sjjku7ZvPz5OqbOKuGGJ7+kR9tMhvYpoHmjJK8jisghjlh2nXMz/J/OOeSmQy8fi9lAKzNrhq/kDgauCryDmWU750r9F/sBhTWwXRGRsLZzz34XQa52AAAgAElEQVRGTSokOSGG2we0JSba04XzRUQkQGJ8DEN65tPvlCa8+FkJ0z4p4eMlW+jZPouhvfNp2lClVyRcBDuNeWxNb9g5d8DMbgTeAqKBp51zi8xsFDDHOTcd+LWZ9QMOAFuBa2o6h4hIOKmscjz4wlK27NrLw9d0Jr1+nNeRRESkGkn1Yhjau4D+pzZh2qclvPTpOj5avJneHRtwde988rNq/xRQkdrOnHM/fCez+dVd75zrXOOJjlP37t3dnDk1seM5NA6uFB0Jc+Cl9tI4DF9j31vNhJlF/OaSllzcLdvrOCGnsSjhQONQasLO8v1M/aSElz8rYd+BKs7u1JCre+WTkxnc4oIahxIuasNYNLO5zrnuP3S/oPbsAvOBDsBI/+ciIlLDZi3ZwoSZRVxwUiMu6trY6zgiInIUUhJj+cm5Tbn89CZMnVXC9NnreH/BRs7t0oire+WRna4V9UVOtGCnMQ81s47AvcAuYKRzblVIk4mI1CHFW8r580tLad2kPjf2bYmZ/fCDREQk7KQlxfGzHzXjijNymPxxMa/OKeXdrzZw/kmNGNIrn8Zp9byOKFJnBFV2zSwDWAf8BOgBTDGzT51zN4YynIhIXbBnXyX3TCokNtq4a2A74mK0IJWISG2XXj+O6y9ozoAzc5n8URGvzS3lna82csHJjRjSM5+GqfFeRxSJeMFOY57Lt6ceOri74eKajyMiUrc453jk5WUUby7n/qEdaZiqd/xFRCJJZnIcv7yoBQN65DJpZhFvfLGed+Zt4MKujRl8Vh5ZKSq9IqES7DTmZqEOIiJSF039pISZizfzs/OacXLzdK/jiIhIiDRIiefGvi0ZeFYuEz8s4vW563nzi/X07Z7NoLPyiNfRKyI1LthpzI2B7sD/gN8CWcDfnXNrQphNRCSizVu1naf/t4qe7bMYcGaO13FEROQEaJhaj99c2opBZ+UxceZapn++jtfnlBIXG0X53kpysxIZNaS9FrQSqQHBHhg2DbgO+BRIAjYAE0IVSkQk0m3cUcH9UwvJzUzgd/1aaUEqEZE6pnF6Pf6vX2ueurE7sTFR7K6opMpB0aZyRk5c7HU8kYgQ7DG7Kc65M81slXPuLgAzuyqEuUREIta+A1WMnlzI/gOOkYPakxgf7I9iERGJNDkZCezZV/nNZQcUby73LpBIBAl2z260mXUF9prZyWbWDdAqKiIix+Cfr3/NsnW7+eNlrcnLCt8TtouIyImRm5VI4AQfBywp2eVZHpFIEWzZ3QA8ApQCfwEeBtaHKpSISKR6fW4pb365niE98zizbZbXcUREJAyMGtKenIx6RBnkZNQjKzmO28cvYPk6FV6R4xHs3LnBzjmVWxGR47CkeCf/euNrurVIZ1ifAq/jiIhImMhOT+CxazsAkJSUyMYdFfzhv/O5dfxCHhreiZbZ9T1OKFI7Bbtn9/WQphARiXDbdu9j9ORCMpLjuPWKNkRHaUEqERGpXsPUeowZ0ZnE+GhuHb+Ar9fv9jqSSK0UbNkVEZFjVFnluP+FJezcc4CRA9uTkhDrdSQREQlzjdPq8dDwTsTHRnHruAWs2lDmdSSRWifYstvZzHYGfOwys50hTSYiEiH+879VzF+9g99c0lJT0UREJGhNMhIYM6IzsTFR3DJuAWs2qfCKHI1gy+4C51xKwEeycy4lpMlERCLAjIWbeOGTEvqdks15XRp5HUdERGqZnIwExozoRHQU3DJ2AWt1WiKRoGkas4hIiKzeWMZfpi+jQ14K113Q3Os4IiJSS+VmJvLQiM4A3DJ2PkUqvCJBCbbsXhHSFCIiEWZ3xQHumbSYpPho7riyHbHRem9RRESOXX5WIg8O70RlFdwybgElW/d4HUkk7AX719fdZpZ28IKZpZvZ0yHKJCJSq1U5x5gXl7Jh+17uuLIdmclxXkcSEZEI0LRhEg8N78SByipuHjuf0m0qvCJHEvQCVc657QcvOOe2ASeHJpKISO028cMiPlu2lesvaE7H/FSv44iISARp1iiJB4Z1Yu/+Km4eu4D12yu8jiQStoItu1Fmln7wgpllADGhiSQiUnt9vnwr42es4dzODel3SrbXcUREJAK1aFyfB4d1onxvJTePnc8GFV6RagVbdh8BPjGz0WZ2LzALGBO6WCIitc+6rXt4aNpSmjdO4teXtMTMvI4kIiIRqmV2fR4c1pHdew5wy7gFbNyx1+tIImEnqLLrnBsHXA5sANYDlzvnxocymIhIbVKxr5JRkxYDMHJge+rFRnucSEREIl2rJsncP6wTO8r3c/PY+WzeqcIrEiiosuuftrwemOD/WO+/TkSkznPO8bdXl7N6Yzm3XdGWxun1vI4kIiJ1RNucZO4f2pEdZfu5eewCtuza53UkkbBxxLJrZg38n24GFgFzgLn+jzmhjSYiUju8/Pk63l+wieFnF9C9ZfoPP0BERKQGtctN4d6rO7Bl115uGTefrbtVeEXgh/fsTvT/ex1QjO/Y3VbOuWbOueYhTSYiUgssWLODJ99exRltMhncM8/rOCIiUkd1yE/l3qs7snHHXm4Zt4DtZSq8Ij9UdpMBnHNPAWcB8cDHZnZ1qIOJiIS7zTv3ct+UQrLT6/HHH7cmSgtSiYiIhzoVpDL6qg5s2FahwitCkHt2zexyoC+wGngcuMXMvgptNBGR8LXvQBX3Tilkz75KRg5qR1I9nY1NRES816VpGvcMac+6rRXcOn4hO8v3ex1JxDNHLLvOub/5P7004KMXvmN2vwhtNBGR8PXEWyspLN7F7/u3pqBBktdxREREvnFy83T+NLg9xZvLuXX8AnbuUeGVuimoXRHOuWtDHUREpLZ4e94GXp1TypVn5tKrQ4MffoCIiMgJ1q1FOncPbs89zy/m9vELeXB4J+prFpLUMcGeeqi1mb1rZgv9lzub2Z2hjSYiEn6Wl+7msVeXc1KzVK49t6nXcURERA7rlJYZ3DWwPas2lHHb+AWUVRzwOpLICRVU2QX+DdwG7Adwzs0HBocqlIhIONpRvp/RkxaTlhTHbVe0JTpKC1KJiEh4O611BncObMfX68u447mFlO1V4ZW6I9iym+ic+/yQ6/Q/RUTqjMoqxwMvLGHr7n2MHNSOtKQ4ryOJiIgE5Yw2mdwxoC3L1u3mzucWUa7CK3VEsGV3s5m1AByAmQ0ASkOWSkQkzIx9bzVfrtzOTX1b0rpJstdxREREjkqPdlncdkUblhTv5K4Ji9izr9LrSCIhF2zZvQF4AmhrZiXAb4FfhiyViEgY+ahwM5M+Lubiro254OTGXscRERE5Jj3bN+CWy9uyuGgnIycsokKFVyJcUGXXObfSOXce0ABo65w7yzm3OqTJRETCwNrN5Tz80jLa5CTzy4taeB1HRETkuPTp2IA/XtaGhWt3cPfzi6jYr8IrkSvY1Zi7mllXoA3Qyn/5XTObbGZnhDaiiIg3yvYeYNSkxcTFRHHXwHbExQQ7GUZERCR8ndOpIb/v35qvVu3gnucXs+9AldeRREIi2JNtfQDMBgKXHu3mnEup+UgiIt5zzvHIS8so2bKHB4d3okFKvNeRREREasx5XRpR5eAvLy/jnkmLuXtQe72pKxEn2LK7wjl3TuAVZvZlCPKIiISFyR8X8/GSLVx/fnO6NE3zOo6IiEiNO/+kRlRWOf72ynJGTy7ULCaJOMGO5gwzu9rMLjazTv7rXKhCiYh4ae7X2/jve6vp3SGLy05v4nUcERGRkLmoa2N+3bclny/fyn1TC9lfqSnNEjmC3bM7HegB1AeamVk2kBGyVCIiHlm/vYIHXlhCfoNEftevNWb2ww8SERGpxfp2z6ayyvHPN77mgalLuH1AW2KitYdXar+gyq5z7qbAy2ZWAMw2s/eAUc65GSHIJiJyQu3dX8noyYVUVTlGDmxPvbhoryOJiIicEP1ObUKVc/y/N1fy4LSl3Hp5GxVeqfWC3bP7Hc65NUDDGs4iIuIZ5xx/f20FK0p3c8+Q9uRkJngdSURE5IT68Wk5VFXBE2+vJMrglsvbEh2lGU5Sex1T2RURiTSvzinlna82MrR3Pqe3zvQ6joiIiCcuPyOHyirHU/9bRVTUUv744zYqvFJrqeyKSJ23qGgnj7+5klNbpXN173yv44iIiHjqyh65VFY5nnlvNVFm/L5/axVeqZU8nYhvZhea2VIzW2Fmt1Zze7yZTfLf/pmZNT3xKUUkkm3dvY97JxfSIDWemy9rQ5QWpBIREWFwzzxGnF3Au/M38tdXllPldCIWqX2CKrtmlmpmfzWzOf6PR8ws9Xg2bGbRwD+Bi4D2wBAza3/I3X4KbHPOtQT+Cjx0PNsUEQl0oLKK+6YUUlZxgJGD2pOcEOt1JBERkbBxVa98hvbO5515G3j0lRUqvFLrBLtn92lgJzDQ/7ETeOY4t30qsMI5t9I5tw94Huh/yH36A2P9n08FzjWdB0REasi/31nFwrU7+W2/VjRvlOR1HBERkbAztHc+Q3rm8eaX6/n7aytwKrxSiwR7zG4L59wVAZfvMbN5x7ntHKAo4HIxcNrh7uOcO2BmO4BMYPPhnrSqqoqysvLjjBY65eXhm03qDo1D+GDxFl76bB2XdGvIac3rh/XPjUimsSjhQONQwkE4j8MBpzZg7979TPt8PVWVlfz83Dydhz6ChfNYPFrBlt09ZnaWc+4jADPrAewJXayjY2bXAdcB5OXleZxGRMLdqo3l/L+319A+tz7De+V6HUdERCSsmRlX92xCZZXj5TkbiI4yfnJ2rgqvhL1gy+4vgbH+43QN2Apcc5zbLgECm2mu/7rq7lNsZjFAKrDl0Cdyzj0JPAnQvXt3l5SUeJzRQq82ZJTIVxfH4c49+/nz9FUkJ8QyclAHUuvHeR1JqJtjUcKPxqGEg3Aeh7+8uBVR0dG8+Nk64uNiue78Ziq8ESycx2Kwgiq7zrl5QBczS/Ff3lkD254NtDKzZvhK7WDgqkPuMx0YAXwCDADeczpQQESOUZVzjJm2lM079/LnazqTrqIrIiISNDPj+guaU+Vg2qclREcZPz2vqQqvhK2gyq5/leRzgCnAKDPLBO5zzn15rBv2H4N7I/AWEA087ZxbZGajgDnOuenAf4DxZrYC397kwce6PRGRZ2esZfaKbdzUtyXt81K8jiMiIlLrmBm/vLA5lVWOKbOKiYoyrj2nQIVXwlKw05gnADOBz4DRwC7gKaDb8WzcOfc68Poh140M+LwCuPJ4tiEiAvDp0i089+Fazj+pEX27NfY6joiISK1lZtxwcQuqqhyTPioiOgpGnN3U61gi3xNs2Y1yzt1kZhc45/4DYGa3hTCXiEiNKdmyh4deXEqr7PrceHELvfssIiJynKLMuOmSllRWOSZ8WER0lDG0d4HXsUS+I9iyW9/MLgdizOwyfOfn1RxAEQl7e/ZVcs+kxcREGXcNbEd8bLTXkURERCJClBm/7deKKucYP2MtUWZc1Svf61gi3wi27H4AXOr/t5//ug9DkkhEpIY45/jL9GUUbS7nvqEdaZRWz+tIIiIiESXKjP/r15oqB2PfX0N0lDHoLJ0KVMJDsGX37865L0KaRESkhk37tIQPF23mJ+c2pWvzdK/jiIiIRKToKOP3/VtTWeV4+t3VREUZV56p89iL94Itu08BXUMZRESkJs1btZ2n3lnFWe0yGdhDv3BFRERCKTrKuPmyNlQ5x1PvrCI6yrj89ByvY0kdF2zZjTGzdOA7q7o457bWfCQRkeOzccde7p+6hJzMBH7fv7UWpBIRETkBoqOMWy5rQ1WV44m3VhJt0P80FV7xTrBltw0wl++WXQc0r/FEIiLHYd+BKkZPXsz+A1WMHNSexPhgf8yJiIjI8YqJjuK2K9py39Ql/OvNlURFGZee0sTrWFJHRQV5v8XOuebOuWYBHyq6IhJ2/vXG1yxbt5s//Lg1+VmJXscRERGpc2Kio7h9QFtOb53BP17/mtfnlnodSeqoYMuuiEjYe+OL9bzxxXoGnZVHj3ZZXscRERGps2Kjo7jjynac2iqdR19dwVtfrvc6ktRBwZbdM0KaQkTkOC0p2cU/X19B1+ZpjDhbJ7UXERHxWlxMFHcNbE+3Fun8dfpy3pm3wetIUscEW3ZfMbO0gxfMLN3M3gpRJhGRo7K9bB+jJy8mo34ct13RlugoLUglIiISDuJiorh7UDtOap7GIy8v4935G72OJHVIsGW3gXNu+8ELzrltQMPQRBIRCV5lleP+qUvYWX6Auwa1JyUx1utIIiIiEiA+Npo/DW5P56apPPzSUt5foMIrJ0awZbfSzPIPXjCzAnyrMYuIeOrp/63iq9U7+HXflrTKru91HBEREalGvdhoRg3pQMf8VMa8uJQPFm3yOpLUAcGW3TuAj8xsvJk9C3wI3Ba6WCIiP+yDRZuY+kkJl3bP5kcnNfI6joiIiBxBvbhoRl3VgXZ5KTz4whJmLt7sdSSJcEGVXefcm0BXYBLwPNDNOadjdkXEM6s3lvGXl5fRLjeZ6y/UmdBERERqg4S4aO69qgNtcpJ54IUlzFqiwiuhE1TZNTMDLgS6OudeBRLN7NSQJhMROYyyigOMmlRIQlw0dw1sR2y0zqImIiJSWyTGx3Df0I60yq7PfVOW8OnSLV5HkggV7F+I/8J3+qEh/su7gH+GJJGIyBFUOceYl5ayfnsFd1zZjszkeK8jiYiIyFFKio/h/qEdad44iXunFPL58q1eR5IIFGzZPc05dwNQAd+sxhwXslQiIofx/MwiPl26levPb0anglSv44iIiMgxSqrnK7wFDZMYNWkxc1Zs8zqSRJhgy+5+M4vGvwKzmTUAqkKWSkSkGrOXb2Xc+2s4p1MD+p3axOs4IiIicpySE2J5YFhH8hsk8qfnF/HFShVeqTnBlt3HgBeBhmZ2H/ARcH/IUomIHKJ02x4enLaUZo2S+M2lrfAtJSAiIiK1XUpCLA8M60RuZgJ3T1zMvFXbvY4kESLY1ZifA24GHgBKgR8756aEMpiIyEEV+ysZNakQgJGD2lEvNtrjRCIiIlKTUhNjeXB4J7LT6zFywiLmr1bhleMX7GrMGcBGYCIwAdjgv05EJKScczz6ynJWbSjj1svbkJ2e4HUkERERCYG0pDgeGt6JRmnx3DVhEQvW7PA6ktRywU5jngvM8f+7LuCyiEhITf98He8t2MTwsws4pZXeYxMREYlk6fXjeGhEZ7JSfIV3UdFOryNJLRbsNOZmzrnmzrlmQOHByyHOJiJ13II1O3ji7VWc3iaDwT3zvI4jIiIiJ0BG/TjGjOhERv047nx2IYXFKrxybILdswuAmcWhUw6JyAmwZdde7ptSSOO0etz84zZEaUEqERGROiMzOZ4xIzqRmhTL7c8uZGnJLq8jSS0U7DG7r5jZK8Bi4IXQRhKRum5/ZRX3TlnCnn2VjBzUjqR6MV5HEhERkRMsKyWeMSM6k5LgK7zL16nwytEJds/uw8AY4EfOuZEhzCMiwhNvrWRx0U5+1781TRsmeR1HREREPNIw1beHNyk+mlvHL+Tr9bu9jiS1SLBldwGwCNhhZhkHP0KYS0TqqHfmbeCV2aUMOCOH3h0aeB1HREREPNYorR5jRnQmIS6aW8ctYOWGMq8jSS0RbNndjK/sHlyRWasxi0iNW166m8deW0GXpqn85LxmXscRERGRMNE4vR5jRnQiLiaKW8fNZ/VGFV75YcGW3euAYuARoJVWYxaRmrazfD+jJy0mJTGG2we0JTpKC1KJiIjIt5pkJDBmRGeio6K4eewC1mxS4ZUjC/bUQ08BZwHxwMdmdnVIU4lInVJZ5XjghSVs3b2Puwa2Jy1Ji76LiIjI9+VkJjBmRCeio+CWsQtYu7nc60gSxoJdjflyoC+wGngcuMXMvgphLhGpQ8a9v4YvVm7nhotb0jYn2es4IiIiEsbyshJ5aHhnHL7CW7xFhVeqF+w05ksDPnrhO2b3i1CFEpG64+PCzTz/UREXdW3MRV0bex1HREREaoH8Bok8NLwTlVVV3Dx2ASVb93gdScJQsNOYr63uI9ThRCSyrd1czsMvLaNNTjK/uqiF13FERESkFmnaMIkHh3dm/4Eqbh47n9JtKrzyXcFOY55e3Ueow0Wa0m17+PUzixjwyFx+/q+5+g8pdVr53gOMmrSY2Jgo7ryyHXExwU40EREREfFp3iiJB4d3Yu9+3x7e9dsrvI4kYSTYvy7b4VuJ+dAPOQojJy6meEsFVQ6KNpVz53OLvI4k4gnnHI+8vIySLXu4fUBbGqbGex1JREREaqkWjevzwLBOlO+t5Oax89m4Q4VXfIItu7uccx8c+hHSZBGoOGC1OAcUb9nDLx//gsff/JpPlm5hd8UB78KJnEBTZhXzUeEWfnpeM05qluZ1HBEREanlWmXX54FhHdm95wA3j13App17vY4kYSAmyPt1MbPtQAWwDvgYuMc5tzlkySJQblYiRZvLcQ4MSEmMJSUxltfmrufFz9YRZb53pjo3TaVL0zQ6FqSQFB/st0ikdvhi5TaeeXc1vTpkccUZOV7HERERkQjRukky9w/tyG3jF3Lz2Pk8fE1nMpM1e6wuM+dccHc0iwISgCbAQOBM51zfEGY7Jt27d3dz5szxOka1Srft4c7nFrJuawW5WYmMGtKe7PQE9h2oYmnJLr5atZ2vVu+gsHgn+ysdUQatmiTT5WD5zU+hXly01y9DIkBZmW+WQVJS4gnd7obtFdz45Jek14/j0Z+dRILGc53n1VgUCaRxKOFA47DmLCrayR3PLiQzOY4xIzqTmRzndaRapTaMRTOb65zr/oP3C7bsVrOBm5xzfz+mB4dQOJddCG7w7N1fSWHxt+V3SckuKqsc0VFGm5yD5TeV9nkpxMeqLMjR8+KH2N79lfzumfms27qHf/z8ZHIyE07YtiV81YZfqBL5NA4lHGgc1qyFa3dwx7MLaZAaz59HdCa9vgpvsGrDWKzxsmtm/fCdYxfgA+fcK8eRL2QioeweqmJfJYuKdn5Tfpet20WVg9hoo21uMl2aptGlaSptc1O0oq0E5UT/EHPO8cj05bwzbwP3DG7P6W0yT8h2JfzVhl+oEvk0DiUcaBzWvAVrdnDHcwtplFaPP4/oRFqSCm8wasNYrNGya2YPAKcCz/mvGgLMds7dflwpQyASy+73nmPvARat/bb8fr1+N1UO4mKiaJ+XTOeCNLo0S6VNTjKx0Sq/8n0n+ofYq3NK+ftrK7iqVx4jzm56QrYptUNt+IUqkU/jUMKBxmFozFu1nZETFtEkox4PjehMamKs15HCXm0YizVdducDJznnqvyXo4EvnXOdjztpDasLZfdQuysOsGDNjm/K78oNZQDEx0bRIS/Ft+e3WSqtmyQTHWU1tl2pvU7kD7HC4p384Zn5nNw8jXuGdNAYlO+oDb9QJfJpHEo40DgMnS9XbmPkxMXkZibw0PBOpKjwHlFtGIvBlt2jWeo3Ddjq/zz1mFJJSNSvF8MZbTI5wz81dGf5fl/5Xb2Dr1Zv55n3VgOQEBdNx/xvy2+LxvVVPCSktu3ex+jJhTRIjefmy9tovImIiMgJd3LzdP40uD13T1zEbeMX8ODwTiQnqPDWBcGW3QeAL83sfXxnzekF3BayVHJcUhJj6dEuix7tsgDYXraP+au/Lb+z/7cKgKT4aDoVpH5Tfps1SiLKVEakZhyorOK+qYXs3nOAv/60Cyn6pSIiIiIe6dYinZGD2jNq0mJuf3YhDwzrRP16OsVnpDuaBaqygVP8Fz93zq0/5o2aZQCTgKbAamCgc25bNferBBb4L651zvX7oeeui9OYj9aWXfuYv3r7N+V33dYKAJITYuhc4FvpuUuzNAoaJGIqvxHpRIzDx9/8mhc/W8ctl7XhnM4NQ7Ydqd3C4WeiiMahhAONwxPj02VbGD2pkBbZ9XlgaEeSVHi/pzaMxRo5ZtfM+jrnXqvm+mTgfufcTccYbgyw1Tn3oJndCqQ7526p5n67nXP1j+a5VXaP3qade7853nf+6h2s3+4rv6mJsXT2n+aoS9M08rIS/n97dx4lV13nffz9re70viXpLJ2ks5B9BWUZRlwAt1FxQQQMojDOMz7OqI8z6rAomwEUUMej48z4OI8Li7LJIiouuEREQUEHspCEQMgOIQQSsod0/Z4/qtJETQKTdPetrnq/zslJ9a1bt751zjc39enf7/6u4bdM9HYf/nL+U1xx6xLeccwI/uFN43vlPVQeSvGcqMpjH6oU2Id957eLN3DZzYuYNKKJy8+cQWOtgXdv/aEXeyrsLgU+m1L6xl7bzgAuB76RUrr0IItbAhyfUnqiOGI8N6U0eR/7/Y/D7stf/vL061/fczBl9Ylt2wrN09BQus3z1KadLFi1mQUrN7Ng1Wae3vw8AG2N1czobC78Gd1MR1ut4bef6s0+XL5+G+d9ezEThjdyyamTqK6yR7R//eGcqPJnH6oU2Id9675HnuXz31/GpBGNXHjKROprqrIuqWT0h15samrskQWqXg38MCJGATcA/wE8D7wupfTYIdQ3LKX0RPHxk8Cw/exXFxEPALuBK1JKt+9rp4j4APABgM7OzkMoSwBDW2s5sbWWE2e0k1Ji3aZdzC8G3wUrN3PP4sKM80FNA5g5urk7AA9rq824cmVty47dXPW9ZTTWVvPxtx5m0JUkSSXp2EkD+dhJh/GvP1jG5bc+ygXvnECdgbfsvOg1u8Upy7cCrwLOTind8JIOHPEzYPg+nvoUcHVKqW2vfZ9NKQ3cxzFGppTWRMRhwC+A175YyHYac+9KKbF6w/bu633nLd/Exq2Fkd9hrbXMGtfWPe15aKvht1T1Rh/mU+Li6xfyx8c28rmzZzGts6XHjq3y1d/PiSoP9qFKgX2YjbkLnuLKW5cwc0wrc86YTt0AA29/6MUeu/VQSmlzRLwJ+Abwnoi4PaW0411Zsv8AABeDSURBVCW87nUHKG5dRHTsNY35qf0cY03x72URMRd4GXAoI8o6RBFBZ3sDne0NnHRUByklVqzf1h1+71uygbseXAdAx8C67pWeDx/bxuDmmoyrV2/69q9W8vulz/LhN4836EqSpH7h+BlDyefhqtuWcPH1DzNn9jRqDbxl44BhNyI2A3uGfgNoBJ4prpKcUkoH+432DuAs4Iri39/bx3sPBLallHZGRDtwHHDVQb6feklEMHZoI2OHNvL2Y0aQT4nH123tDr+/fng9P/7vwsLdowbXFxe8Koz+Dmwy/JaL+x7ZwHW/WsnrDx/KSUd1ZF2OJEnSS3birKF05RNf+N4jfPrGh7nk3dOpqc5lXZZ6wAHDbkqpuZfe9wrgpoj4O2AFcBpARBwFfDCl9L+AqcD/jYg8kKNwze7DvVSPekgugvHDmxg/vIl3HjuSrnxi2bqt3as9z52/njv/UAi/o4c0dE95njW2ldYG78PaH615ZjtX3bqECcMb+chbJrhomSRJ6ndef8Qw8inxr3csZc6ND3PR6dMMvGXgJd9nt7/wmt3S1pVPLH1iS3f4XbhyEzuezwMwblhjd/idOaaF5nrDb2/pqT7csauLj379QTZs3sVXPvAyhrfV9UR5qiCVfk5UabAPVQrsw9Jw5x+e4Es/eJS/mjSIC06dWpGBtz/0Yo9dsyv1pKpcMGVkM1NGNnP6KzvZ3ZVnydoXwu+df3iS23+3lgDGdzR1h98ZY1q8B1qJSSnxxe8vZeX6bVz2nhkGXUmS1O+9+cgO8gn+7YeP8pnvLuZTp05hQFXlBd5yYXpQpqqrckzvbGF6ZwtnvBp27c6zZM3m7vB7x+/Xcsu9a8gFTBzRzOFjW5k1tpUZo1u9H1rGbrtvLXMXrOf9rx3LkeP/YjF1SZKkfumkozroyif+40eP8dlbFvPJU6ZQbeDtlwy7Kik11Tlmjmll5phWzgR2Pt/FotUvhN9b713DTb9ZTVUumDSiqXu152mdLS4V34ceWr6R/7prGcdNGcxpx43KuhxJkqQe9fZjRpDPJ776k2VccesSzj9lClU51yXpbwy7Kmm1A6o4YlwbR4wr3JZ5x64uFq56joeWb2Le8o3c9JtV3HDPKgZUBZNHNneH36mjWiryGou+sP65nVx+82JGDq7n4++Y5IJUkiSpLJ187EjyKfG1nz5OVW4J55w82cDbzxh21a/U1VRx5PiB3dNmt+3czcKVz3Xf6uj6X6/k23cXRoinjnoh/E4e2ez1Fj1g1+48l920iF2781x02jSvo5YkSWXtlL8eRVc+8fWfLScX8Il3GHj7E7+pql9rqK3m6ImDOHriIAC27NjNghWbusPvtXNXcM1cqB1QuDZ4T/id2NHktRcH4T9//BiL12zmwtOmMnpI6a7QJ0mS1FNOO66TrnziW79YQS4XfOxtkwy8/YRhV2Wlqa6aYycP5tjJgwF4bvvzzF/+Qvj95i+WA1BfU8WM0S+E3/HDmzxpvYgf//FJ7vzDk5x+3CheObU963IkSZL6zOxXjaYrn7h27kpyEfzz2yaS81KukmfYVVlrqR/AcVPbOa4YzjZu3cW8vcLv/T97HICG2ipmjmntvtXRYcMbPYHtZcmazXzlzkd52WFtnHXi2KzLkSRJ6nNnvmYM+Tx8++5C4P3oWyf4fbHEGXZVUdoaa3j19CG8evoQADZs3sW85Ru7A/DvHnkGKIwQzxr7QvgdM7ShYk9mG7fu4tKbFjGwqcaVCCVJUkV77/GFEd4b7llFVQ4+8pYJLtZZwgy7qmiDm2s4YeZQTpg5FCisNDxv+abuWx39dvEGAFobqpk1tq07/Ha211fEia0rn/jsLYvZuHUXX3z/4bQ2DMi6JEmSpMxEBGefOIaufOLm3xZuh/mPbxpfEd8L+yPDrrSXIS21vHbWUF47qxB+123c0T3l+aHHN/Hrh58GYFDTgO7wO2tsKyMHlWf4/ebPl/Pg45v4+NsnMXFEc9blSJIkZS4i+LvXjSWfErfcu4ZcLvjgGw8ry++C/Z1hVzqAYW11vOGIOt5wxDBSSjzx7J+G37kL1gPQ3lxTnPZcWPBqeFtdvz/h3b1wPTf/djUnHdXBG44YlnU5kiRJJSMi+PvXj6Mrn7j9d2vJRfCBN4zr99//yo1hV3qJIoIRg+oZMaieN718OCklVm/YXrzedyN/XLaRX8wvhN+hrbXdU54PH9fK0Na6jKv/n1mxfitf+N4jTB3VzAf/5rCsy5EkSSo5EYUR3a584tb71lCVK4z4GnhLh2FXOkgRQWd7A53tDbzlqA5SSqx8ehsPPV4Iv7975BnueugpADoG1v1J+B3cXJtx9fu3dcdu5ty4iPqaKi44dSoDvB+xJEnSPkUEH3rTePJ7XcN79oljDLwlwrAr9ZCIYMyQRsYMaeRtx4wgnxLLn9rWvdjVPYs28OP/XgfAqMH1L0x7HtvKwKaajKsvyKfE525/hLXPbOeqs2bR3lK6oVySJKkURAQffssE8oniKs3B+04Yk3VZwrAr9ZpcBIcNa+SwYY2cfOxIuvKJZeu2doffufPXc+cfngRg9JCG7pHfWWNbM1v1+MZ7VnHvkg188I2HMXNMayY1SJIk9Te5CP7PSRPoyqfCfXhzhfvyKluGXamPVOWCiR1NTOxo4l2vGEVXPrH0iS3d4feuB9fx/fufAGDc0IbuKc8zx7TSXN/74feBR5/l6l+s4ISZQ3jHX43o9feTJEkqJ7kI/umtE8mnxLVzV1KVC2a/anTWZVU0w66UkapcMGVkM1NGNnP6KzvZ3ZVnydpC+J23YhM/+uOT3P77tQQwfnhj4VZH41qZObqVxrqe/af75LM7+Owtixk7rJF/Ommi15lIkiQdhKpc8LG3TSKfT3zrFyuoygWnHdeZdVkVy7ArlYjqqhzTO1uY3tnCGcCu3XmWrNlcuM3R8k18//613HrfGnIBEzqaukd+Z4xupb6m6qDfd8fzXcy56WEALjptKnWHcCxJkqRKV5ULPvGOyeQTfP1ny8lF8K5XjMq6rIpk2JVKVE11jpljCtOYz3wN7Hy+i0WrXwi/t923pnvVv0kjXgi/0zpbqBvw0gJrSokv/+BRlj25lTlnTGfEoPpe/lSSJEnlryoXnHPyZLryif+663GqcsHJx47MuqyKY9iV+onaAVUcMa6NI8a1AbBjVxcLVz3HQ8s3MW/5Rm76zSpuuGcV1blg8qjm7gWvpnW2UFO979sH3XH/E/x83lO89/jRHDNxUF9+HEmSpLJWlQvOe+dk8vnEV3+yjKpc8LZjXBelLxl2pX6qrqaKI8cP5MjxAwHYtnM3C1cWwu9Dyzdyw69X8Z27VzGgKpja2dIdftsaB3DJDQtZ88wOUoLDx7ZyxqtdPEGSJKmnVVflOP9dU7j85sX8+48eI5cLTjqqI+uyKoZhVyoTDbXVHD1xEEcXR2i37tjN/BWbusPvdXNXci0rCSDt9boNm3eRc0EqSZKkXjGgKsenTp3CpTct4t9++Ci5gDcfaeDtC4ZdqUw11lVz7OTBHDt5MADPbX+eBSs2MefGRX+y39pntmdRniRJUsUYUJXjglOnMufGh/nSDx6lKhe88WXDsy6r7O37Qj5JZaelfgCvmNJO55AG9gzkRsCo9oZsC5MkSaoANdU5Ljp9GkeOb+OLdyzlrgfXZV1S2TPsShVmzuxpjBxURy6gs72BObOnZV2SJElSRaipznHx6dM4fFwbX/jeI/x83lNZl1TWnMYsVZiOgfV8+W+nA9DY6KiuJElSX6odUMWnZ0/jwu8s5PO3L6EqB8fPGJp1WWXJkV1JkiRJ6kN1A6q4dPZ0pnW2cOWtS7h74fqsSypLhl1JkiRJ6mN1NVVc9p4ZTB3VwmdvWcw9i57OuqSyY9iVJEmSpAzU11Rx2XumM3lkM5/57mJ+u3hD1iWVFcOuJEmSJGWkobaay98zgwkdTVx+8yLue8TA21MMu5IkSZKUoca6aj5z5gzGDWvkspsWcf/SZ7IuqSwYdiVJkiQpY0111XzmvTMYM6SBT9/4MA88+mzWJfV7hl1JkiRJKgEt9QP47Htn0tleCLx/XGbgPRSGXUmSJEkqES0NA7jifTMZOaiOS65/mAcf35h1Sf2WYVeSJEmSSkhrMfAOG1jHRdcvZN5yA+/BMOxKkiRJUolpa6zhqvfNZGhrLRd+ZyELVm7KuqR+x7ArSZIkSSVoYFMNV75vFu0ttVzw7YU8vOq5rEvqVwy7kiRJklSiBjfXcOX7ZjKwaQCfum4Bi1cbeF8qw64kSZIklbD2llquOmsWrY0D+OR1C3hk7easS+oXDLuSJEmSVOKGtNRy1Vkzaaqv5vxrF7D0iS1Zl1TyDLuSJEmS1A8Mba3jqrNm0VBbxXnXzOexJw28B2LYlSRJkqR+YnhbHVedNZO6mhznXTOfx9dtzbqkkmXYlSRJkqR+pGNgPVedNYua6hznXjOf5U8ZePclk7AbEadGxMKIyEfEUQfY728iYklEPBoR5/VljZIkSZJUqkYOqufKs2ZSlQvOvWY+K9dvy7qkkpPVyO4C4J3A3fvbISKqgH8H3gRMA2ZHxLS+KU+SJEmSStuowQ1cedZMAjj3mnmsetrAu7dMwm5KaVFKacmL7HYM8GhKaVlKaRdwA/D23q9OkiRJkvqH0e2FwJtPcM7V81mzYXvWJZWM6qwLOICRwKq9fl4N/NWLvSifz7N1a+n+RmPbttKtTZXDPlSpsBdVCuxDlQL7UIeivSG4+F0TufimR/jEtx7isndPZnhb7UEdq5x6sddGdiPiZxGxYB9/enx0NiI+EBEPRMQDTz/9dE8fXpIkSZJK2pgh9Vxy2kR27c5z0Y1LWLdxZ9YlZa7XRnZTSq87xEOsATr3+nlUcdu+3utrwNcAjjrqqNTY2HCIb937+kONKn/2oUqFvahSYB+qFNiHOhTTGxu48n11nHvNfC65eSmfO3sWw9rqDupY5dCLpXzrofuBiRExLiJqgHcDd2RckyRJkiSVrAkdTVzx3hls3dnFOVfP56lNO7IuKTNZ3Xro5IhYDfw18MOI+Elx+4iIuBMgpbQb+DDwE2ARcFNKaWEW9UqSJElSfzFxRDOfOXMGz21/nnOuns/65ypzSnNWqzHfllIalVKqTSkNSym9sbh9bUrpzXvtd2dKaVJKaXxK6fIsapUkSZKk/mbyyELg3bT1ec69ej4bNlde4C3lacySJEmSpIM0dVQLl505g2e27OKcq+fzzJZdWZfUpwy7kiRJklSmpne2cOkZ03n6uZ2ce/U8nq2gwGvYlSRJkqQyNnNMK5eeMZ11G3dy7jXz2bi1MgKvYVeSJEmSytyssW3MOWM6Tzy7g/Oumc+mbc9nXVKvM+xKkiRJUgU4Ylwbl7x7Gqs3bOf8a+fz3PbyDryGXUmSJEmqEEeOH8jF757GyvXbOP/aBWwu48Br2JUkSZKkCnL0hEFcdPo0lq/byievW8CWHbuzLqlXGHYlSZIkqcIcM3EQF542lWVPbuVT1y1g687yC7yGXUmSJEmqQMdOHsynTp3C0ie2cMG3F7KtzAJvddYFSJIkSZKy8Yop7Zx/yhQ+891FnHPNfLbteJ4nnt3JqPYG5syeRsfA+qxLPGiO7EqSJElSBXvVtHbOO2UKS9duYc0zO8knWPX0Ni66/uGsSzskhl1JkiRJqnCvmT6EiBd+TglWP70tu4J6gGFXkiRJkkRnewN78m4EjGpvyLSeQ2XYlSRJkiQxZ/Y0Rg6uIxeF4Dtn9rSsSzokLlAlSZIkSaJjYD1f/tvpADQ29u9RXXBkV5IkSZJUhgy7kiRJkqSyY9iVJEmSJJUdw64kSZIkqewYdiVJkiRJZcewK0mSJEkqO4ZdSZIkSVLZMexKkiRJksqOYVeSJEmSVHYipZR1DT0qItYDK7Ku40W0A09nXYQqnn2oUmEvqhTYhyoF9qFKRan34piU0pAX26nswm5/EBEPpJSOyroOVTb7UKXCXlQpsA9VCuxDlYpy6UWnMUuSJEmSyo5hV5IkSZJUdgy72fha1gVI2IcqHfaiSoF9qFJgH6pUlEUves2uJEmSJKnsOLIrSZIkSSo71VkXUAkiYjmwGegCdu+9sllEfBz4PDAkpVTKy3urn9tXH0bEJcDfA+uLu30ypXRnNhWqEuzvfBgRHwE+VNz+w5TSOZkVqbK3n/PhjcDk4i5twMaU0hEZlagKsZ9ePAL4KlAH7Ab+MaX0++yqVLnbTx8eTqEPm4DlwHtSSs9lVuRBMuz2nRP+PMxGRCfwBmBlNiWpAv1FHwJfTCl9PpNqVKn+pA8j4gTg7cDhKaWdETE0u9JUQf6kD1NKp+95HBFfADZlUpUq0Z//33wV8OmU0o8i4s3Fn4/PpDJVkj/vw/8HfCKl9KuIeD/wL8CF2ZR28JzGnK0vAucAXjgtqZL9A3BFSmknQErpqYzrUQWLiABOA67PuhZVrAS0FB+3AmszrEWVaxJwd/HxXcApGdZy0Ay7fSMBP42IP0TEBwAi4u3AmpTSQ9mWpgryF31Y9OGImBcR34iIgVkVp4qxrz6cBLwqIn4XEb+KiKMzrE+VYX/nQ4BXAetSSkszqEuVZ1+9+E/A5yJiFYVL3c7PrDpVin314UIKs64ATgU6M6nsEDmNuW+8MqW0pjg1766IWAx8ksIUZqmv7KsP/xO4lMJJ7lLgC8D7M6xR5W9ffVgNDAKOBY4GboqIw5K3C1Dv+Ys+TCntGcGYjaO66jv7Oie+C/jnlNItEXEa8HXgdZlWqXK3rz58P/DliLgQuAPYlWmFB8lbD/Wx4oJAXcBHgG3FzaMoTFE5JqX0ZEalqYIU+3DL3tfqRsRY4AcppRkZlaUKs6cPKXyJuzKl9Mvi9seAY1NK6w/wcqlH7H0+jIhqYA1wZEppdbaVqdLsdU68EGhLKaXitPpNKaWWA75Y6iH7+Y44CbgupXRMZoUdJKcx97KIaIyI5j2PKYzm3p9SGppSGptSGgusBl5u0FVv2U8fLoiIjr12OxlYkEV9qgz760PgduCE4vZJQA3g6vTqFQfoQyj84mWxQVd94QC9uBZ4TXG3EwGn1KvXHOA74tDithxwAYWVmfsdpzH3vmHAbYVfzFENfCel9ONsS1IF2mcfRsS1xVscJArLyv/v7EpUBdhfH9YA34iIBRSmSZ3lFGb1ogP9v/xunMKsvrO/c+IW4EvFmQY7gD+/rlzqSfvrw49GxIeK+9wKfDOrAg+F05glSZIkSWXHacySJEmSpLJj2JUkSZIklR3DriRJkiSp7Bh2JUmSJEllx7ArSZIkSSo7hl1JkjIWEV0R8WBEPBQRf4yIV2RdkyRJ/Z23HpIkKWMRsSWl1FR8/Ebgkyml12RcliRJ/Zoju5IklZYW4FmAiDg+Iu6OiB9GxJKI+GpE5IrPvSEi7i2OBN8cEXvC8vKIuGHPwSLihohYXnxcExG3RcSCiJi/Z7skSeWoOusCJEkS9RHxIFAHdAAn7vXcMcA0YAXwY+CdETEXuAB4XUppa0ScC3wMmFN8TUdEDASieLw93ggMSCnNiIh24IFe/EySJGXKsCtJUva2p5SOAIiIvwauiYgZxed+n1JaVnzueuCVwA4KAfg3EQFQA9y71/GuB86gEHa/A5xf3N4FNEREVe9+HEmSsmfYlSSphKSU7i2Oug7Zs+nPd6EQYu9KKc3ez2HuAL5Z3O9sXgi7PwXeCawH1vRg2ZIklRyv2ZUkqYRExBSgCthQ3HRMRIwrXqt7OnAPcB9wXERMKL6mMSIm7XWYXcV97i0+BiCltBvYDvwLcEJvfxZJkrLkyK4kSdnbc80uFEZjz0opdRWnKN8PfAWYAPwSuC2llI+Is4HrI6K2+LoLgEf2HDCldDFAcZSY4uPTgOaU0tf33i5JUjny1kOSJJWoiDge+ERK6aSsa5Ekqb9xGrMkSZIkqew4sitJkiRJKjuO7EqSJEmSyo5hV5IkSZJUdgy7kiRJkqSyY9iVJEmSJJUdw64kSZIkqewYdiVJkiRJZef/A0jMUoHs5OGJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = check_df(uniq_csv, period = 5)\n",
    "if result['response'] is True:\n",
    "    # пишем аналитику, что у нас выброс\n",
    "    print('Есть выброс')\n",
    "    print(result['df_zscore'])\n",
    "else:\n",
    "    # все ок, выбросов нет\n",
    "    print('Выбросов нет')\n",
    "\n",
    "    \n",
    "fig, ax = plt.subplots(figsize = (16, 5))\n",
    "ax.plot(result['df_zscore'],\n",
    "        linestyle = '-', color = '#4680C2',\n",
    "        marker = '.', markersize = 8, markerfacecolor = '#4680C2')\n",
    "plt.title('Z-распределение количества действий')\n",
    "plt.xlabel('Время')\n",
    "plt.ylabel('Количество действий')\n",
    "plt.grid(which = 'major',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.grid(which = 'minor',\n",
    "         color = '#32363b',\n",
    "         linestyle = '-', linewidth = 0.2, alpha = 0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Очевидно, что с уменьшением или увеличением периода анализа необходимо корректировать пороговое значение.\n",
    "Функция check_df() позволяет изменять его, что делает ее универсальной для анализа почти любого промежутка времени."
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Итоги\n",
    "Воспроизведя график по полученным данным и проанализировав его, можно сказать, что, несмотря на небольшое количество дубликатов, **выброс 11 апреля произошел из-за объявления 49554 из кампании 49554 от клиента 47270 из агенства 2.**<br>\n",
    "Также при правильной настройке порогового значения в соответствии с периодом можно применять определение выбросов с помощью Z-значения."
   ]
  }
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