screen_resolution.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('events.csv',low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "360x640      30009\n",
       "1366x768     21379\n",
       "320x534       3622\n",
       "1920x1080     3521\n",
       "320x570       2561\n",
       "Name: screen_resolution, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scr = df.loc[(df['screen_resolution'].isnull())==False]\n",
    "scr['screen_resolution'].value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Visitas según resolucion del dispositivo\\n')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=scr['screen_resolution'].value_counts()\n",
    "\n",
    "fig,ax=plt.subplots(figsize=(10,5))\n",
    "p = x.head(10).to_frame().reset_index()\n",
    "sns.barplot(data=p,x='screen_resolution',y='index',palette=\"magma\")\n",
    "plt.grid(True)\n",
    "plt.xlabel('Visitas',size=15)\n",
    "plt.ylabel(' ')\n",
    "plt.title('Visitas según resolucion del dispositivo\\n',size=22)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "compras = df.loc[df.event=='conversion']\n",
    "group = scr.groupby('person')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "def resolucion(x):\n",
    "    return x['screen_resolution'].unique()[0]\n",
    "\n",
    "res = group.apply(resolucion)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = res.to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "res['compro'] = (res.index).isin(compras['person'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>compro</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>person</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0004b0a2</th>\n",
       "      <td>360x640</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0006a21a</th>\n",
       "      <td>360x640</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000a54b2</th>\n",
       "      <td>1920x1080</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>00184bf9</th>\n",
       "      <td>1366x768</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0019c395</th>\n",
       "      <td>360x640</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  0  compro\n",
       "person                     \n",
       "0004b0a2    360x640   False\n",
       "0006a21a    360x640   False\n",
       "000a54b2  1920x1080   False\n",
       "00184bf9   1366x768   False\n",
       "0019c395    360x640   False"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "res.columns=['Resolucion','Compro']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Resolucion</th>\n",
       "      <th>Compro</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>person</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0004b0a2</th>\n",
       "      <td>360x640</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0006a21a</th>\n",
       "      <td>360x640</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>000a54b2</th>\n",
       "      <td>1920x1080</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>00184bf9</th>\n",
       "      <td>1366x768</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0019c395</th>\n",
       "      <td>360x640</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Resolucion  Compro\n",
       "person                     \n",
       "0004b0a2    360x640   False\n",
       "0006a21a    360x640   False\n",
       "000a54b2  1920x1080   False\n",
       "00184bf9   1366x768   False\n",
       "0019c395    360x640   False"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "res['Resolucion'] = res['Resolucion'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f83bdb83e80>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10,5))\n",
    "\n",
    "g = sns.countplot(data=res,y='Resolucion',order=res['Resolucion'].value_counts().head(10).index,color='#CC2EFA')\n",
    "g = sns.countplot(data=res.loc[res.Compro==True],y='Resolucion',order=res['Resolucion'].value_counts().head(10).index,color='#8904B1')\n",
    "plt.legend(['Visitas','Compras'])\n",
    "g.set_xlabel('Cantidad de personas',size=16)\n",
    "g.set_ylabel('')\n",
    "g.grid()\n",
    "g.set_title('Cantidad de personas que visitaron/compraron \\n vs Resolucion que utilizaron para ingresar \\n',size=22)\n",
    "g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f83bd9bf4a8>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAn8AAAGKCAYAAAB9+SfMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzsnXe4XFW5/z9fEjoEAqGEgEZKQKQJKCAoR5BuwSAKghQVLorovd6rqD8rylUsVwUpAkJQ6RiKFBWRIzWUUEIIGAIESAhgaCFAQiDv74+1hrPZ2TNnzsk5Z5LM9/M88+yZVd+19lprv7PKuxURGGOMMcaY9mCpVgtgjDHGGGMGDit/xhhjjDFthJU/Y4wxxpg2wsqfMcYYY0wbYeXPGGOMMaaNsPJnjDHGGNNGWPkbQCTtLekPkqZImi1prqRpkq6SdJSklVstYyMkHSYpJI3pYbyOHK+zfyRbIL/OnF/HopymMYsruS8slJ2wgR4XFnUkDZY0U9IjrZbFLPlY+RsAJK2ZB7irgIOB14C/AZcCU4EPAacCj0h6e4vE7JMB3RhjFpY2HYt2BlYnPReM6VcGt1qAJR1JqwI3AxsCtwJHRcSEUpiVgS8A/w8YCjw20HI2yaXAOODFVgtijGkp7+yDNG7P6bzSB2ktCYzO17EtlcK0BVb++p/fkBS/24FdImJOOUBEvAT8VNJY4OUBlq9pIuJFrPgZ0/ZExIN9kMYrwEKnsyQgScC+wFOkSQJj+hUv+/YjkjYADsw/j6pS/IpExJSImFGIv4akr0j6i6RHJc2R9KKkcZKOljSoIs+ReclkqhJflHSPpFckPS/pckmbleJ8v7jEUltyKS+9dLfnT9K+km7O+xmfl3StpJ27qaP9JJ0l6X5JL+QyTpF0sqT1GsQbJuk3ec/kXEmPSPqxpBUa5deNLL1KM9fzAZL+lvfszJX0uKQzJI3soQxv7oOStKKkn2Q55kp6QtJJklZvEH89Sb+W9C9Jr0qale/JYfkBUw7/5l5GSR9Q2n86U9J8SfvmMMtJ+oaku9S1V3WGpFsl/UjSchXpvkvS77PMc3OaV0vaq47cY7Ich0naUNJ5kp7OcR+UdKykBcar3vSRHO+9ki6WNF3SvBxnSs53l0b3qCKtFSUdL+nhwn06RdLqxXLVq/fu6qOO/x6Srsh19Fq+H+dL2rwHcu+Z87i7QZjVcpnmSlqt4F65LCtpndyHpuR78UruC3+RdGQp7AJ7/tT8WLSypCMlXZbzeiW3zbsl/T9Jy9cpz5vpSPqcpNtyHwmlVZpauGGSTshtr9aPximNpwtMmqgwNmbZfpbb49zcxk4t1l8F2wPrAJdHxPxS2itK+p/c317I8jyS2+/eFbIsjOxDJZ2Y79mrkh6QdFQh7LskXZTb3auSbpe0RxN1fWS+N69IelbSWJWeQ3XiVd4jSZtKOk7SLZKezH3g30pjzJ510i2Wc/Vczkdz3MtKYd8n6U+Snsr+T0m6RNL2ddIujqPbKPXNZ3MfuFfS56ritZSI8KefPsBXgAAm9DL+wTn+E8A/gPOB64E52f0yQKU4I7PfVOCcHPZvwMXZLUizd+sX4uwLjMl+kb+/+SmEO6zmXyHr1wvxbwbOA+4D3gB+ld07K+K9DswmzYxeAvw5lzeAfwOjKuKsDTycwzyTy/bnnM6twC3Zr6MHdd2rNIGlgT9lv1eAG3LcB7Lbc8C2PZCjI8e7hbTEPhu4ItfNv7PfZGCtirgfBF7IYR4iLdNfC7yU3X5fEacz+52c79V9uZ1dC+xD+oN4XQ7zAmnf6nnZbVp2X7uU5kfpaqMTc/gbcvoB/LBCjlr7+xWpfT4MXEBq9/Oy30l91Ed2I+27DeAu4KJcV3dk99N6cL9WJLXdWr+6LLeH54ApwOXZ77A69V7ZRgv1cViF36+z37zcTi7K5QjgVWDvJmUfBEzP8baoE+bo7H9JyT2AKLkNB2bQNf5cBlwI3JTbzoN12npnwa3ZsWin7P90blsXkNrsrOx+G7BcRXlq6Z6U2+MNuX3eCaySw2wIPJ7Dzcj1eyVpVSZyPsuW0j0s+10KTACezd//DDyf/cYDS9ep55/mMHuU3N9Omh0NUj++Jpf1ZtLY0FkKvzCyX5bzejLHu46uvncssEOWYWKWYXz2ex34QIO6/mWu605S//xXdn8Z2KmX9+jMHGZSrpMLSf23FverFenWynkl8Ei+R5eRxuvTCuG+QNdYdXvOu9bH3wCOaDCO/oQ0htTG0ZsLMv13s+PKQHxaLsCS/AF+n2/673oZ/53AdhXuw4G7c9qfKvmNLDS2R4ANCn7Lkh7eAZxRke4CA3rJv9Z5xpTc350HgHnAR0p+XyvI01mR5ieBFUpug4Ef5jjXVMSpKVvXAisX3EcUBpaeKn+9SjN39gD+Caxb8vtS9psCDG5Sjo5CXv8CRhT8Vgb+nv0uqmgTz+X7cCgFhQdYr9BeDivF6yzkd2SFPB+g68G1YslPwI7F+0dSol+kYgDOZas9hMoPuTEFOb4PLFWS4Y38Wa8P+sg/svuBFfFWB7bpQbv5RU5rArBmwb2217dWpnr1XtlGqaP8AUfRpVRvUvLbl9QHnweGNin/j3N6/1fHv/bQ+3DJfYGxAvhudj+NBRXuZSkpCFQof43SL/mvC+xSbCeFer8mxz+2XrokZfS93ZT5IgoKJKkf1caCH5fiHFZI+ypgpYLfOnQpZAfVyfOhfN+WLrgtRZdSf1n5npLGg137WPaLS/H2okvxnEpJgQF+lv2va1DXLxfvPWncqLW7xykp6U3eo52BkRXu25HGn9dYcDwulvOvFMb5QpgtSX3oDWD/kt8B2f01YLM6/TmAz5b8an9QX6T0rGvlp+UCLMmfwiD0435Ie7daZy25jyw0wg9XxHtv9nukwq+7AbfWecaU3H9X5V7wv5M6g3w3ZZyeO1tRGXsbMJ+k5GxQEecjhfJ3NJlPr9IEViPN9r1E4cFfintljveRJmXp6Ob+bZjlfIsiBJyQ45xQJ91ts//4kntt0PpbnXj7Z/9fNSn/d3L4m+r415Tla0vuY+j6p62KeFdn/0P6oI/cn91X7Ul7rEh/ebpmVRdoa8AWuV1VKXGd9eKV6uOwgtsg0qxMAJvWifeb7H9Mk2XYOId/mtIfFGBTumaQyn4LjBWk2eMA9u1hW++s8Gs4FnWT7kY5/h310gW+VSfu+7P/LGC1Cv89C/5FJekwupSktSvi1VZGzqrTTgL4Q8l93+z+KLB8E+VeWNlnAcMq4t2T/W+p8Fst+82lNKtZqOufV8QbRNdKy0F14lXeoybq4fgc/+iSe62cr1GhOOYwtWfZuXX8L8j+Z5TcO7P7JXXiTcr+C8yQturjAx+LOHmPxi6kKfe1geVI/5xqNgFH1Yn6OvCXCvfaBut1+lDMnfP1j3X8/whsUy+ypFGkgWlDYCW69qIOzt83JM3iQJoFEjAuIh4upxURf5b0AmkGoFl6m+YHSQrAVRHxTJ20/0laPt2BtATULC9ExJUVskyRNI404/YB4NzsVdv7c3Gd9MaTlom2krRcLLj/tN4Jw7tIiubnJE0G/hQRTzeQu9YWzqnjfxZpCWknSYMi4o2S/9WRR8sSD5JmIRZot73oI7eTFJvzJB1Puu9lOZphG1J7nR4RnWXPiJggaQJpNqEv2Io0o3l/REyqE+afpKXaHUjLZg2JiH/l9rQ9qQ1dUfA+NF/PjYjXm5DvduCLwAlK20uvjYh+O8CmlEmtH6xL6ovKH6g/NkL99l5rv3+OiOfKnhHxF0kzSPdhG9LsbpHxEfFURbqNxt3aKd+yiZfa3rVzI+LVOvIWWVjZ74yImRXpTiG14QWeJxHxnKRnSTPmq5MOrJRZ4LkQEW9IOp9k4aKDrnGsSMNTz0pWMvYh9YvVgGWy10b5Wu/+3xURU+v41epwTB3/s4BPkWSuYoExO/MgaZWiL5+7C4WVv/7l3/m6Zm8iZ6XoMhqbVRhSx31G1YAdEbPywLxsb2Sqw7r5+mgd/6lVjvmhfQrweboG7CqKZewuL0imcnqi/PU2zfXzdR9VbH4vsUYP5IE6dVbw25EuuYuy3KEFz3WUWZ00q1qk0rxQRDws6b+An5Nmdk5WMkJ7C2k/26UlxWlEvjZqC/NJCtrqpP2VRR6vE29Wvr7lcEkv+8g3SQ+zvfLnFUl3kpaD/xARzRrZbabdTKXvlL/aPX5XH7e3s0nK36Fk5U/poMzB2X9Mk+n8Adgd+DRJkXlD0kTynryIuKUHMjVE0lok5eB9DYLVGxuhvjmt7tovpO00wwthi/So/WZGk/ZqlpWrt+drsyeiF1b2aXXizG7Cf3Wqy9ZInqn5um4d/7omzyR9jKSINTpEU+/+NzKl1l0dPlIKV6Y3978lWPnrX8YDnwHe08v4l5AealeQNgQ/ALyY/zWNIu3hqPekn1/HfVHiK8ARpKWsr5IUimciYi6ApFtIMxjdajMtonaS9F+kwxmNuG2AZLmQdNihEXMr3OrOLETESZIuJi1D7ZQ/B+fPPZJ2johZ5WhNSb0gPW23Pe4jEfGUpG1J/953IynS25FmkL4t6T8i4qxeyt9XVFliqN3j6aS9n43oiQmVC0kHbT4safWIeJZkeH4d0kzWxGYSiXRK9SBJPwY+TKrXHYFjgGMknRURfXXq8UyS4nczaY/ovaTZ8nmSlqG6jRdl7W4mbUDar6QNgc2ByyKZvukLGfpL9gF9ptS7R5LWJR2mWJ60d/B8kiL5ckTMVzpV/lvqPzeamUUdqPGrZVj561+uAv4P2FzSuyOirkmFMpI2IQ0KzwCjK5alNuw7MRea6aRZiZGkfRxlRtaJt3++/kfVEifVZazNWNVLE7r+MTdLb9N8Il/vi4jDephndzSSpeZXnL17glRfP4yI+/tYFvJS1mn5g6QtSTM9WwHfAL5VkGkTUnu4ro7sS5EU1AWWpnrCwvSRrKj8I3+QtCLpgM5PSLObl1QotGWaaTf1/F7L15Xq+DdqbzP6sr1FxIvZ1MWBpFm7k0j7o6D5Wb9iehNJB1JQMs+zN+nE5GclXRgRf1sYefO92pu0HeHDEfFCKcjCjI21e7p+gzA1v/LseW/4eL5WLXHWZpE2bjKtgZa9WUaSlPMqd+i5LB8mKX5/iohvVfgv7P3fgFRPVc+yVtRfv2A7f/1IREwh/asGOFVSw6VWSRtIGp5/1qazn6yzH+mgPhKzyLwsR0//FPwzX+vJVM+9VsYnyh6SdqN66epG0r+yHSQtMMhJ2oeeLfkuTJp/J9XZh1SwEdZHrKpqG14bkJbogrScVuOafN2/HKc/iIh7SSZH4K3LmrW2cEidqIfn601N7iNrRJ/1kYh4OSJOIC1tLUdzD9zxpJOM60r6QNkz2zHbok7c2sNjk4p4awFbV8S5nWSe4t15xqgvOTtfD5W0CmmW9zWS0tZrImJ+/mN3eXZqdgm80Vi0CunZ9VKF4gcLNzbW2u9HJA0te2abdsNJS53jFyKfGqNJZa3aD/zXfD1YFbY0Kxho2ZtlgfuRtxUckH929jC9Rs+NZYH9ephekWbHr86FyGORwMpf//Ml0j6B7YB/qMIIq5IRz6+SOuRa2fkh0hTyZuUHi6TD6TIe3ZfUHkg9fXXTySRZP1NWWPJ+sW3rxKstTX1BBQO+WcE5rSpC3qh7BWkJ7NQ8C1CLtw5pb1qP6G2a+eDDySTF8Io8E/UW8r39dH6g95RfFP4MIGkl0h7JQaS9dsX9JT8j7Sv5lpJx4ypjru+SNLrs3ghJu0jau5xeHrxr97q4h+YM0onHnSR9uRTnA6QlQEgmUhaWXvURJYO5CxgQz0vBw3OaCzxYyuRlujPzz19LevPPSlagTqH+0lNtVvTo0j1ejXRYZoEZwYiYRzKBNAi4TNJ7K8qwjKSPVrXFbriOVOZtgONICnDlwYF6SDpE0gJKq5JR8h3yz2ZfXdloLHqaZBZlVUmfLuW1J2kLSa+IiBtJ9uJWJs0Av/mHXdII0vI4wG8qDk31iDy2bEc67VylxF5OOmk7Ejg3t6li/JUl7doK2XvIFyXtVJBFwA9IM2zTSWa2ekLtubFfcVzNy/0n0XjmsztOJB2WPFDSx4sekvYnmSabl8Mt3rT6uHE7fEgPlNrsUpBMTfyJtFfhBroM0j4FvK0Q76Ts/gZpeapmODmA/83XqaW8Rla5l8JUmlEgLVEHaRntAtKD7cyC/2HUMelC2kQfpAfnTaTTWxOy7DWjtJ2lODvQZWz3XznPv5H263TSZSetoxRvHdKG3JqsF5OUt9mkvXe9MfLcqzRJRp4vzH6vk8zaXJTdbivc202alKMjh78lx3+J9BC4OMsVpNN3VeYkPkiaGQrSPspr8324ii47YxeU4nQ2qivgP7P/C7kNnkvazF8zOTIDeHspzscK5Z5AaredNGfk+bA6cnw/+3+/5N6bPlIzhD2J1A/PI/XPmnxNm2YiKWk1Y7cv5rq5JN+Hh6lv5HkZumy4PUea+flr/j4xp1NZH3T10yAtp40l9Z0bSe01gD17MU4dX0g3qDA11GgMIR28CdLs6ZWkU57XFGS6gbfaseugvqmX7sai/y7IeUu+h7fl32+Wo9mxrxRmQ7oMzT9J6ss1g+9BmvGvZyh5gbGxXlnpMqB9VANZ3kH6kxOkP3dXk54bN1HfyHNfyz6mXlvM/lOz/8iquqbLyPP1+T7VjFa/Auzc03tE2q5W6zuzSOP0RSRFcjZdz5sxPSlnIdwX6TLRNI405tXa1htU20PtpPE42rAOW/FpuQDt9CHtVTiXNBP4MknJqQ2UR7CgEd2lsvtduVE/nzvvntRR8uq5l8LUGxiXJ83IPEKXUhYF/+4GidGkgfhl0oPwOpIJjg7qD/Jb5vI/RdqIO4lkLHbZRh2KtCR8Su7wc0mK209Jb1xo2BEb1Euv0yTZAryMNOC+Rnr4TyQtp+1LHcv+Fem8WVc5359nOWpt5TdU2OIqxF+b9PC7h6Q4ziENzp2kvXkblMJ3V64NSIrXP0gK5BxgZm6T3wXWqBNvM9KewOmF+riGOm+foPfKX2/6yEE5v4kkZetVUpu/DNi9F/16JdLG8+J9+i0wrFG5SMtXtfb2GmlW7JekU4rd1ccHSErA4znPF0iHXS4g7dtbsRflqNnHCyps+3U3hpDszP2KtDz9VJZrOknp+ywLKh0d1B8XGo5FOcx+pLfvvEhSAm4h24yrCt/IvSLcMFLf/1du8y+RFICjqejL9E75u46kZAzvRpaVSXtqx2c5Xsn1cgElY+n9JHt3bXEqjZU/kRSqe7Psz5H+3GzebNuqUycnFMo4I/eHjeuVp7tylsLuSPpT9TRppu9p0h/FHeqE72QxU/6UBTPGLAIovev1euCfEdHRWmnMwqL0HuxDgcMjYkxrpTGLCnkp/Cng9ojYsdXy9Ac1c0QRsahaa2hrfNrXGGOMGVhWJ83Q39RqQUx7YuXPGGOMGUAiYjJpK4MxLcGnfY0xxhhj2gjv+TPGGGOMaSM882eMMcYY00ZY+TPGGGOMaSOs/Jl+QdJhkqL0mS/pBUm3S/qOpJVbLWdPkfTHXJaDW5T/h3L+f29F/mbhkPT5fP/OLLlvmN2nVMSZlv3WHThJzaKKpJtye9ip+9DGVOPTvqa/eRr4S/4+mGR4d3vgPaTXwe0UEc+0SDZj+oz8Crx5wBsR4bHVGLPI4gHK9DcPRsRhRQdJW5Asom9EMnfwxQGXavHlFtL7Tl9utSCmV1xMsu1W9S7XeuxMeo3gU/0ikVnc+DSwAs2/J9mYBfCyrxlwImIC6dVNkF55Z5okIl6JiAcj4olWy2J6TkS8mO9f04pcRDyc47zen7KZxYOIeDy3h1dbLYtZfLHytwQiaZO8J+QZSUvXCTNY0owcbrOC+8aSzpH0mKTXJL0kaaqkSyXt14di3puvazUox9sknShpsqRXJc3K+10OqRN+qKSfSJqUw7+a90tdL+nrdeLsJGmspKdzeWdIuljSe3tSmO72Akr6Ufb/dh3/HSSdJ+lxSXMl/VvSHZK+L2m1QriGe/4kbZ5lmZbL829JV0navTu5JY2SdH5uN3MlPSDpfyT1eJyQtJKkH0t6JKf1hKTfSFqtXl11t5epiTreS9KfC/fyyVyn7+qh7N3V8QL78yT9iLTkCzBIb93r+nohXOWev27kWWDPX6E9NfpMKaWzu6RTJN0r6dl8Xx6TNEbSJnXyLraPrSRdkuv3DUlfKoSTpEMk/VNpX+8cSVMknSRpREW6g4t1I+lASeMkzVbq53+X9L5m66icZpbnC5LukfRKLu8lkjatE3d7ST+XND63/1r7qTsWFO7BtyW9Q2ncnJbz/3kOs0yulwsk/SuX7xVJ9+f+MbQnZcxpVvYTLURflrSypBMkPZrDP6409g5V/f7aVNvIYXeQdKGk6eoa3y6vd4+VnmG/11ufQ48qjdUfL4UdIuk/cnoP5/p9SdJdkr4pabmK9Mtt5QilveizsvtKzd6PxRUv+y6BRMSDkm4DtgP2Bi6vCLYHsDYwPiImQlIcgJtJL81+EPgz6WXUI3L45Ukvt+4LVsnXp6s8Je1KerH2EOAh0r7BlUn7Bc+R1BERny2EX4n0kveNc5p/I71EfB1gM9Iew5+W8jgG+DXpxeO3k160Pgr4BPBxSUdGxFl9UdhGSPoO8IMsx32kpd2Vc1m+B/ydJl4DJWk06eXmywATgRuA9YC9gL0lfT8iflAn+jbAqaSlxX+QlPKdgJ+R7v9/9aA8K5OW9bcGZgHXkF5g/2lgd9LL2PsUSSeTtg/MA+4EppG2FRwI7Cvp4xHx177Ot8BdwO+BQ0h95vcFvzf6Kb9z6vhtDWxeke/ppD5/P/BP0p//zUjvHv6EpN0i4tY6aX4A+B3wBOnd0ysDrwJkheJ84JPAa6R7/zxp/PkScKCk3SPirqqEJf0v8HVSG78K2BLYFXi/pPdHxO11a6E+JwJfAG4kjX/bAPsBe2RZyuX8Cam9TwRuA+YCm5DGgn0lfSoixtbJa2PS/XiF1HeXBl7MfuuQ7tPzpDH1HtLYty3wDVK9bxcRz/WijPXoUV+WNITUHrbKcl9N6q8Hkfrr5G7yq9s2cvrHAj/OP8eTnjHrAR8BPizp8xFxdiH8VqS2sCLwAG99Du1FGt8uLeS/NXAaadyfDNxBen3edsD/Ah+R9MGImFtH/lOAI7JcV5Lu55JvADki/FkCP8B/kBrw2Dr+F2X/LxXczspu36wIvxKwQw/yPyyn1VnH/4Lsf0qF37qkPVHzgINLfm8DJuS4BxfcP5vdLgcGl+IMBnYpuW0NvJ4/o0t+B5EGv7nAO0t+fyzn3ci94P+j7P/tkvv+2X0WsHdFvO2AEYXfH8rh/14KNwJ4Kft9ueS3K+nBFMCH6sgdwLfJht+z3y65Hl4H1unBvf91Tu9uYI2C+1CSgl7Lr1yHN2X3neqkW6/uv5TdJwCjSn6fyPI/C6zSpPyVdVzw3zD7T6loZwG83iDtz+cwZzaTZvablv3WbUL2zUkP8NeBD5f89i3XAekPx9G1+mtQ50Han6uKMF/O/k8Cm5Tq45Ts9zCwdEVdBTATeHfBbym6xqJretDuimnOBnYspfmz7PcosEwp7l7AWhVp7ksah54BlqvTpwM4s1i+QphVSFtbli65r0D6gxDASc2WsVE/oZd9GfhNjnMHsHpJ9huo31+baRsfzv5PAO8p+b2fNGbNATYouNfq5WsV6a0MbF9yexvwQWCpkvtQ0iRAAP/doK08B2zTk3uwJHxaLoA//XRjU8d9laTArF7yG5o73FxgtYL7VbkzbNUH+R9GSfkDBpEecj+n62G9RkXcX2T/4+ukvX32v63g9k1Kymw38p2Tw59Tx/+S7H9qyb2vlb+J2f3zTcpdT/n7Qbm+S/61Or+mjty31olXGzw/3aR8K5IOo1QqccC7qf8w6bHylwfxp0gPto3rxDstx/vCwtRxwX+RVP5Is0yP57BfbKashbi35Xgbl9xrdT6R0sO1EOaxHObwCr9lC/J/qqKuAjiqTlmC9KdlUJNlKKb5kzr+U8uyNJHuhTnOHiX3Wp9+BlipJ/Wd469Emp19sofxulP+mu7LWYbaH8PtK+JskftWozGvUdsYn8PsVsf/G9n/hILbX7PbZj2t04r031lVJ6W28vWFzWdx/HjZdwklIl6UdBlwAGkm68SC9wGkQflP8dblhttJy8Sn5aXIG6L+VHmz7CwpKtz/CnysTvp75+vFddK8naTYbiNp6YiYl90AvinpeeCqiGh0onLnfB1Tx/8s0jJRR4M0FgqlPVzvIinhf1jI5GrlqbcUeBbw38AHJC0VEfNL/lfVifcgsBvpYdwM7yGfRIyIBZaqI+JuSfeTyt0XbENa1ro3IuotJ/+TNBO+A2k5bIkjb3u4krSc9ouIOKVOuLeR+tfGpC0Vg7LXGvk6iupl+csq2gySRpJmXt4gKQNvISLmSjoP+BqpL11YkfaVFfGelPQSaaZnKGl2sCdUyfK6pAuAY6tkkbQGaabqXcCqdG2Leme+jiKNW2X+FhGzGwkjaWvSDPzbSX+QlL3mAsMlrRwRL3VfrKboSV9+D2k7z6MRMa4cISIm5P66WdmvQL22sTZpheV50paaKv6ZrzsU3G4nLTefLum7pOfQaw3yR5JIS9vvJ60cLU+q49oex1ENotdbzl+isfK3ZHM2SdE7lLcqf4fm65hS+J+ROs+upH+JcyXdQ+qgf4yI+3ohQ9HO3wqkf5Ibk/YQ/hj4akWcd+Tr3alPN2Q14OmIuE7S/wH/SRr450v6F2nPz58i4m+leLVN6I/WSfeRUrj+4O35OrUPlOzuylNzX4H0YCvvMXq8TrxZ+brApuk61A4l1JMD0uxLXyl/6+frlnX+ZBRZoxv/xRJJg0jbON5NmrH+Wp1wPyLNtAyq8s8MqeNez6xIrd1Ny3/CqmjUl+YD0+vEm0VS/ppte0Xqtb+p+foWg9mSvkiaHV++QZo9rZva/tfzgX0apFtLu6+Uv5705do9aWQ25jEaK3/14tbG8aHAG92M5cW+Wdt/2QFcS3oO3U3Xc2hiMaKk4aQ9gNs1SL/evQvq19cSjZW/JZu/k5Y9yfgGAAAgAElEQVRctpa0eUTcJ2ljUid5ii6lDEhmRIAPSdoO2BPYkfSPbDvg65K+FxHH9VCGKjt/R5P2mfyXpOsiovxPtfZwuoD0z7gRb/4jjIj/lnQK8FHS4LEjcCRwpKRrgI9ERHkTfHcKQ19RdcquP/LubZoL/HNfBKmqw1pbmUb92YUa9/ejHK3kN6Q9a7cCn4m8rlVE0qeA/0faD/hV0sb8GRExJ/tfRNp/Wu8J3Z1Zkd62u6iSdyCRtD1wMmks+SrpwMMTwKsREZJ+SlKoe1M3PyUpfhNJW1PGAzNrirKkZ0iKT7f/cntAb/pyo3vQXXr1yl/rmy9QfeiwyJsH/yLiZeCDknYgTRLUnkPbk55D34mI4wtxzyI9o24k7T28D3ghIuZJWoG0DaVe/c7vblZxScXK3xJMRMyX9AfSoHMYadnvsOx9btSxGxYRt5H2ACFpGdIpzTOA70u6sMHyWrNynZwVzM8Av5D015Is00hvAvl+T/OKiIeBXwK/zEsB7yf9896LNONZO707nTTztj7V/1zXL4RrhtoAUs9EwNsr3Gr/OEdKWnYhZ/+mk/aNrU/XUkqR2r/wV+iZgeHeyAHp/tWjnl9v6rBm73Ba+U/GQtAbOVqCkgmjo4ApwEdrylwF++frN6L6BPuGvRShdr/XLWzBKNPTvtQXjKRa2R+Zr0VZPpGvv4yIX1bE6W3dQFe97x8RDxY98inbVs9GP5mvjdr0yF6mXeubc3rTNyOdyL4V3nwOfQb4LXBcfg5NyXW4B+kgyz4VS+cLc++WaBa1f7Cm7xmTrwflDnRwyb0hEfFaRIwBxpH+PW3RR3J9g/SPceOCTDWuydf9WQgicQNdZje2LHjXFKRKm4HA4fna2WR2tYfJAvbS8r/PncvuETENmETaf7mw7wputjw3VO3P6UPuIN3XkVU2vLIZh3pLvo3qcDjJFEWZcSRldltJ76jw7w01OTZUemVbmb0r3Mh/YOYDS6mJ/QoLi6RPkpbIniWdFG+0L65mK3IB4+BKdj571a8jYirpT8xg0p/EctrLksztQPN9qS84qEKWwSRzNGVZGtXNWqRtML2lZsevyij7AjK2gDtIh//WV4U9w9w2Gi351iUiHiOZallbC/ke4vwc+l2WdynSqXZIW1hEmumrWjZfFOp4kcTK3xJOREwm2Z5ai7Snb10Ktv2KSPpiXhYuu69P1wO7T14pFBFPkkyCAHy79JD9KWn/y3ckHVX1AFYyZrxv4fd+SgabVQq3AsnMQVn2X5M2qR8s6aOlOAeSDnvMA05qski1JcdDJW1Uyv+31N87WLO793+S9ih7SnqvKozkVnA6ybxFR96/VEzjgyRzHtD1ZpV+IW98r80snSRpWEGOVUnLa/Wo1eEx+aFbi7c66SDLChX5zSWduhwMXC5p23IYSctK2ldSo03fxTQfJu0NW50FbaLtR1ddVvEk6WFUaTS5r8iK9TmkbREfjYiHuolSm3U6QgXD77mex9B4H2B3/F++Hl+s47wX8eekMecR3mqbrb85Ji8b1mRZitRO3kFSVouy1OrmUEkrFuIMIe2brrdfrBlqKxdvaTNZ0Tp+weADS1aYxuSfJ6pgdDqX/zcs3JL0d/L1PEkfKntKGiRp16LiKenoqr4qaUO6Dt/UxvIZpL2Mw/KfoWL4fYCvLITsSzatPm7sT/9/SAYso/CpNIdCMkAaJJtclwPnkh7Ic7P7+T3I8zAamB7JYWoHDwL4bMnvQ6RTYkF6oP6NdJCjth8nSJt/a+FrtqqeIe1l/CPJOGgt/fuBIaU8jqHLjMGtuby359+vl2XKceqadCHNWAZJCbuGdIrxadIy9tlUmHrJ8WpmWoL05pPzc9wplEw60MAMCTC6cK/uBc4j2emqlfF7PSlP9q80UdPNvR9CsvEXpFm5sSTj4M+RjLD+uSpP0gxorQ0+C1yR7/vzuTxXNKj7E7Pf/Bx2LGnP6E35fgQlG4fdlOGAwj25k3TyfEJO/3jqm2WpyfF0zv9M4LcF/z4x9UKa6Q2ScjGmzqdoPmMj0n6/ID04L8ptbDZpj9Tlde5Jw/aRwyxFlzmUOaT+dz5J4QvSSd1tSnGaMYvTtH3DcpqkP22vk8av83I9BWn/V9lEyuqFvJ7ObedSUnudTp2+SxN9A/hUoR3dlevlBtIfz3N6WsacZnemXnpqbmoVumynPk9Xf53JW/vrJ3vaNnK4r+XyBknRviLfk+vpGuM/XwhfM381BbiMBZ9Dfyilf2yhjm/OadfG8Vpffb0Up9v2t6R/Wi6APwNwk9PDuGbL6S22/UrhPkyyiXY38O8c9nHSA3h/6thyqpPWYXSj/OVwX8vhHmFB48zDSSeC76HLGOjUPGh8HVi/EHZr4ITc+adn2Z8iLQt+hTp2uEh7Ai8lKY3zSIP/JcB2dcI3Uv6WzzJMJe0be5K0V3KtegNvIe4HSArGkznuM6R9l98FhhbCdWeDboss4/SczkySwrxHT8uT/Xus/OV4K5fqYlpuW6t3U4er53C1ephKmj1auQlZO0gK1+P5/r9AWnY6n7T0uEIPy7Bvbj+vkGYXrieZymikqK1A2nP6SJb/LQ8Y+k75qykAjT5lO4QbkJS0J0h9aQppNWBIvbrtrs4L4UTaU3sjScmcm+vgN1QoNvS/8ieS8e8JpG0Iz5GUmkrbcaQ+egbplPCc3IZ+S3ojSj2lqam+QVp5uJ70h2Y26dDH0VnGlit/2W+V3Bam0tVfTyEtiXfmeGVD+U21jRz23aQVgYfz/XiJpFheBnwOWLUQ9qO57u+h6zn0GOlPxX5UPIdIz6dxue29mOvowHrtrJn2t6R/lCvCGGMGBEl/JO3F+UxELGCPzZjekLeHzAPeiAgfZuwD8jLwI6Q/CGtE376GzrQQ7/kzxhhj2hhJ2+Z9kUW3YaTtA6sCV1jxW7LwvyNjjDGmvbkSiPw2j3+T3gLybtJ2i8dJ7282SxBW/owxxpj25ufAR0hmXYaS9k0+QlIKfxGNzQiZxRDv+TPGGGOMaSO8588YY4wxpo2w8meMMcYY00ZY+TPGGGOMaSOs/BljTJNI2l7SfEk/KbkfJikkjWmRaDU5Lpf0Un4XsjHGVGLlzxhjmiC/N/pE0hsETmixOPX4DrAi8L+tFsQYs+hi5c8YY5rjQOA9wEkR8XyrhakiIiaQXld4qKQtWi2PMWbRxMqfMcY0x3+S3gd6VqsF6YazSO+NPabVghhjFk2s/BljTDdIeg9p1u+fETG1F/HfJ+lPkp6S9Fq+XiJp+wZx1pR0iqRpkuZImiLpeEnLS+rMeww7KqL+BXga+LSkVXsqqzFmycfKnzHGdM+++fr3nkaU9AXgRmA06VVZl+TrfsDNko6oiLMOcBvwBWBp4M/AJNJrtv6e3SqJiDeATmAF4EM9ldcYs+Rj5c8YY7qnI19v7UkkSVuSDokAfDIi3hsRn46I95L2EAKcLGmzUtRTgJHANcD6EbF/RHwU2AhYFXhfN1nX5NylJ/IaY9oDK3/GGNM9W+XrAz2M92XSO9QviIiLix4RcQFwMWkW7ys1d0kjgY+S3q/6xYh4uRDnKeB/msh3Ur6+u4fyGmPaACt/xhjTAEkrkpZQAZ7tYfSd83VMHf/a4ZGOgtv7SQc2bq3aXxgR1wDdnTZ+Ll/XakZIY0x7YeXPGGMas0q+zo2I13oYd0S+PlrH/5FSuOL3xxqk+3g3+c7KVx/4MMYsgJU/Y4xpzAv5uqykZXqZRvRxnPndxB2Sr4ukPUJjTGux8meMMQ2IiFeA2r671XsYfXq+rl/Hf/1SOIAn8/XtDdJt5Addcj7TTThjTBti5c8YY7rnrnzdtIfx/pmvh9TxPzxfOwtuN5Jm/XaQ9LZyBEl7AKt1k29NzrsahjLGtCVW/owxpnuuz9cdehjvRNKp3QMlfbzoIWl/4JPAPLrMwRARjwJXkU4BnyJphUKctYCfN5FvTc7rG4YyxrQlVv6MMaZ7LsvXHhlNjoh7SWZclgLGShon6VxJtwEX5WBfioj7SlG/QDrUsQ/wiKSLJF0OPATMpsuO3wIHUCQNJp0efoVeGKU2xiz5WPkzxphuiIi7gXHAB7Idvp7EPYVkvuVS4B2k2b6RwFhgp4g4vSLONOC9wG9Jhzs+BmwOnArsCqyZg86syHLP7H9eRLxQ4W+MaXMU0ZtDaMYY015IOgA4H/hhRHy3hXKMBKaQDqEMjYj5Jf+xpNfRbRUREwZcQGPMIo9n/owxpjkuBG4HjpE0tD8zUmKbCvf1gD8Ag4DfVyh+W5AUv3Os+Blj6uGZP2OMaRJJ25H22/00Ir7Rj/kMJh0EeRx4kGSvbz1ga2A5YCJpyfjFUrzLSe/zHRURM/pLPmPM4o2VP2OMWcSQJOCHpAMm65Pe1DEXmEzaK/jriJjdOgmNMYszVv6MMcYYY9qIwa0WYFFm2LBhMXLkyFaLMWC8/PLLrLjiiq0Ww7Qpbn+mlbj9mVbSV+1v/PjxMyNije7CWflrwMiRI7nzzjtbLcaA0dnZSUdHR6vFMG2K259pJW5/ppX0VfuT9Fgz4Xza1xhjjDGmjfDMXwNmzpzAGWePaLUYA8bQIcdyxtkHtVoM06Ysju1vt923aLUIpo94bd5opk4/odVimCWUkSOuabUIb8Ezf8YYY4wxbYSVP2OMMcaYNsLKnzHGGGNMG2HlzxhjjDGmjbDyZ4wxxhjTRlj5M8YYY4xpI/pF+ZO0nKTbJd0r6X5JP8juknS8pMmSHpD05YL7iZKmSJogaesm8thC0q05/fskLVfyv0LSxMLv1SRdK+mhfB3a1+U2xhhjjFnU6S87f3OBXSJitqSlgZskXQO8E1gP2CQi5ktaM4ffC9gof7YDTs3XSiQNBv4IfCYi7pW0OjCv4D8aKL/0/BvAdRHxE0nfyL+P7YOyGmOMMcYsNvTLzF8kasrX0vkTwBeA4yJifg73TA7zMeD3Od44YFVJwyV9XNJ1eWZweJ4xXBvYHZgQEffmdJ6NiDcAJK0EfBX4UUmsjwHn5O/nAPv2R9mNMcYYYxZl+m3Pn6RBku4BngGujYjbgA2AT0m6U9I1kjbKwUcATxSiTwNGRMSlwAzgaOAM4HsR8RQwCghJf5V0l6SvF+L+EPgF8EpJpLUiYkb+/hSwVt+V1hhjjDFm8aDfXu+WZ+K2krQqcKmkzYBlgTkRsW1emj0LeH83SR0DTATGRcT5Bbl3At5DUvKukzQeeBbYICL+S9LIBrKFpKjyk3QkcCTAsGGrMHRI+6wMDxq0dluV1yxaLI7tb/Kk5Vstgukj5swZyuRJo1sthllCmfpQZ0P/2bNn09nZOExf0u/v9o2IFyRdD+xJmtEbm70uBc7O36eT9gLWWDe71b7PB9aStFReMp4G3BARMwEkXQ1sTdrnt62kqaSyrSmpMyI6gKclDY+IGZKGk2Ykq+Q9HTgdYOTIZeL5We3zrsehQ46lncprFi0Wx/a37fZ+t++SwuRJoxm16djuAxrTC7p7t29nZycdHR0DIwz9d9p3jTzjh6Tlgd2AB4HLgA/mYDsDk/P3K4BD8t6+7YEXs5I2mDQ7eCDwAGkvH8Bfgc0lrZDD7AxMiohTI2KdiBhJmhmcnBW/Wh6H5u+HApf3Q9GNMcYYYxZp+mvmbzhwjqRBJAXzooi4UtJNwLmS/os0S/f5HP5qYG9gCmkZ9/Ds/i3gxoi4SdK9wB2SroqIByT9H3AH6SDJ1RFxVTcy/QS4SNLngMeAT/ZZaY0xxhhjFhP6RfmLiAnAuyvcXwD2qXAP0qGOsvtxhe8vAZsUfv+RZO6lngxTgc0Kv58Fdm22DMYYY4wxSyJ+w4cxxhhjTBth5c8YY4wxpo2w8meMMcYY00ZY+TPGGGOMaSOs/BljjDHGtBFW/owxxhhj2oh+f8PH4sywYVtwxOF3tlqMAaOzs5NP7De9+4DG9ANuf6aVTH2os9u3MBizpOCZP2OMMcaYNsLKnzHGGGNMG2HlzxhjjDGmjbDyZ4wxxhjTRvjARwNmzpzAGWePaLUYA8bQIcdyxtkHtVoM06YsDu1vt923aLUIpp94bd5opk4/odVimBbQjgd9PPNnjDHGGNNGWPkzxhhjjGkjrPwZY4wxxrQRVv6MMcYYY9oIK3/GGGOMMW2ElT9jjDHGmDai18qfpLMkPSNpYsHth5ImSLpH0t8krVPw68ju90v6Z8F9VUmXSHpQ0gOSdugm3xtzOvdIelLSZU3k8V/ZbaKk8yUt19tyG2OMMcYszizMzN8YYM+S288iYouI2Aq4EvguJAUPOAX4aES8C9i/EOfXwF8iYhNgS+CBRplGxPsjYqucx63A2EZ5SBoBfBnYNiI2AwYBB/S61MYYY4wxizG9Vv4i4gbguZLbrMLPFYHI3z8NjI2Ix3O4ZwAkrQJ8APhddn8tIl6QNFjSHZI6crgfSzq+mJekIcAuwGWN8sgMBpaXNBhYAXiyt+U2xhhjjFmc6fM9f5KOl/QEcBB55g8YBQyV1ClpvKRDsvs7gH8DZ0u6W9KZklaMiNeBw4BTJX2INMP4g1JW+wLXFRTOyjwiYjrwc+BxYAbwYkT8ra/LbYwxxhizOKCI6D5UvcjSSODKvJxa9vsmsFxEfE/Sb4BtgV2B5UnLtfsAQ4BxwI4RcZukXwOzIuI7OY1vkRTIHSLi7lL61wBnRsSf8u96efwb+BPwKeAF4GLgkoj4Y50yHQkcCTBs2CrbnHracb2rnMWQQYPW5o03nmq1GKZNWRza35Ahy7daBNNPzJkzlOWWe77VYpgWsMzSG7VaBGbPns1KK6200Ol88IMfHB8R23YXrj/f7XsucDXwPWAa8GxEvAy8LOkG0v6+G4FpEXFbjnMJ8I1CGpuTFLY1iwlLGga8F/h4wbleHgCPRsS/c9yxwPuASuUvIk4HTgcYOXKZeH5W+7zrceiQY2mn8ppFi8Wh/W27vd/tu6QyedJoRm06ttVimBawKLzbt7Ozk46OjgHLr0+XfSUV1eePAQ/m75cDO+W9fCsA2wEPRMRTwBOSNs7hdgUm5bRGA6uR9gSelA901PgEacZxTsGtMg/Scu/2klaQpJxHw0MlxhhjjDFLKr2e+ZN0PtABDJM0jTTDt3dW5OYDjwFHAUTEA5L+AkzIfmdGRM1EzDHAuZKWAR4BDs8zez8Bdo2IJ/KS7q+BQ3OcA7L/mzTKQ9IlwF3A68Dd5Jk9Y4wxxph2o9fKX0QcWOH8uwbhfwb8rML9HtJevTKjCmFOLMXp6GEe3yMpp8YYY4wxbY3f8GGMMcYY00ZY+TPGGGOMaSOs/BljjDHGtBFW/owxxhhj2ggrf8YYY4wxbYSVP2OMMcaYNqI/3/Cx2DNs2BYccfidrRZjwOjs7OQT+01vtRimTXH7M61k6kOdi8SbHowZCDzzZ4wxxhjTRlj5M8YYY4xpI6z8GWOMMca0EVb+jDHGGGPaCB/4aMDMmRM44+wRrRZjwBg65FjOOPugfkt/t9236Le0zeLPa/NGM3X6Ca0Ww7QprWp/PmRiWoFn/owxxhhj2ggrf8YYY4wxbYSVP2OMMcaYNsLKnzHGGGNMG2HlzxhjjDGmjbDyZ4wxxhjTRlj5M8YYY4xpI/pF+ZO0nKTbJd0r6X5JP8ju50r6l6SJks6StHR2l6QTJU2RNEHS1t2kP1LSq5LuyZ/TCn5/KeR7mqRBpbj/LSkkDeuPshtjjDHGLMr018zfXGCXiNgS2ArYU9L2wLnAJsDmwPLA53P4vYCN8udI4NQm8ng4IrbKn6MK7p/M+W4GrAHsX/OQtB6wO/D4whTOGGOMMWZxpV+Uv0jMzj+Xzp+IiKuzXwC3A+vmMB8Dfp+9xgGrShou6eOSrsszg8MlTZa0djd5z8pfBwPLAFHw/iXw9ZKbMcYYY0zb0G+vd8vLreOBDYGTI+K2gt/SwGeAr2SnEcAThejTgBERcamk/YCjgT2B70XEU5JGAu+QdDcwC/h2RNxYSP+vwHuBa4BLstvHgOkRca+kRnIfSZp9ZNiwVRg65Nhe18HixqBBa/dreSdPWr7f0jaLP3PmDGXypNGtFsO0Ka1qf1Mf6hzwPM2ix+zZs+ns7Byw/PpN+YuIN4CtJK0KXCpps4iYmL1PAW4oKmwNOAaYCIyLiPOz2wzgbRHxrKRtgMskvas26xcRe0hajrTMvIukm4FvkZZ8u5P7dOB0gJEjl4nnZ7XPu0aHDjmW/izvttv73b6mPpMnjWbUpmNbLYZpU1rV/vxuXwPQ2dlJR0fHgOXX76d9I+IF4HrSzB2Svkfai/fVQrDpwHqF3+tmt9r3+cBakpbKac6NiGfz9/HAw8CoUr5zgMtJS8obAO8A7pU0Nad5V3dLyMYYY4wxSxr9ddp3jTzjh6Tlgd2AByV9HtgDODAi5heiXAEckvf2bQ+8GBEzJA0GzgIOBB4gK4w5/UH5+/qkgyKPSFpJ0vDsPhjYB3gwIu6LiDUjYmREjCQtK28dEU/1R/mNMcYYYxZV+mvZdzhwTlbQlgIuiogrJb0OPAbcmvfdjY2I44Crgb2BKcArwOE5nW8BN0bETZLuBe6QdBWwKXCcpHmkWcGjIuI5SWsBV0haNud7PfCmGRhjjDHGmHanX5S/iJgAvLvCvTK/fPr36Ar34wrfXyKZiYE0C/inivBPA+9pQr6R3YUxxhhjjFkS8Rs+jDHGGGPaCCt/xhhjjDFthJU/Y4wxxpg2wsqfMcYYY0wbYeXPGGOMMaaN6Lc3fCwJDBu2BUccfmerxRgwOjs7+cR+07sPaEw/MPWhTr/twLQMtz/TTnjmzxhjjDGmjbDyZ4wxxhjTRlj5M8YYY4xpI6z8GWOMMca0ET7w0YCZMydwxtkj+jWP3Xbfol/T7wmvzRvN1OkntFoM06a4/ZlWsjDtzwdFzOKGZ/6MMcYYY9oIK3/GGGOMMW2ElT9jjDHGmDbCyp8xxhhjTBth5c8YY4wxpo2w8meMMcYY00ZY+TPGGGOMaSP6RfmTtJyk2yXdK+l+ST/I7udK+pekiZLOkrR0dpekEyVNkTRB0tbdpD9S0quS7smf07L7ygW3eyTNlPSr7LespAtzHrdJGtkfZTfGGGOMWZTpLyPPc4FdImJ2VvBuknQNcC5wcA5zHvB54FRgL2Cj/Nkuu23XTR4PR8RWRYeIeAl4003SeGBs/vk54PmI2FDSAcAJwKd6X0RjjDHGmMWPfpn5i8Ts/HPp/ImIuDr7BXA7sG4O8zHg99lrHLCqpOGSPi7pujwzOFzSZElrNyODpFHAmsCNhTzOyd8vAXaVpIUvrTHGGGPM4kO/vd5N0iBgPLAhcHJE3FbwWxr4DPCV7DQCeKIQfRowIiIulbQfcDSwJ/C9iHgqL9m+Q9LdwCzg2xFxI2/lAODCrGi+JY+IeF3Si8DqwMyS3EcCRwIMG7YKQ4cc2/tKaILJk5bv1/R7wpw5Q5k8aXSrxTBtitufaSUL0/6mPtTZt8KYtmP27Nl0dnYOWH79pvxFxBvAVpJWBS6VtFlETMzepwA3VChsVRwDTATGRcT52W0G8LaIeFbSNsBlkt4VEbMK8Q4gKZg9lft04HSAkSOXiedn9e+7RrfdftF5t+/kSaMZtenY7gMa0w+4/ZlWsjDtz+/2NQtLZ2cnHR0dA5Zfv5/2jYgXgOtJM3dI+h6wBvDVQrDpwHqF3+tmt9r3+cBakpbKac6NiGfz9/HAw8CoWmRJWwKDs98CeUgaDKwCPNs3pTTGGGOMWTzor9O+a+QZPyQtD+wGPCjp88AewIERMb8Q5QrgkLy3b3vgxYiYkZW0s4ADgQfICmNOf1D+vj7poMgjhfQOBM7nrVwBHJq/fwL4R2FJ2BhjjDGmLeivZd/hwDlZQVsKuCgirpT0OvAYcGs+azE2Io4Drgb2BqYArwCH53S+BdwYETdJuhe4Q9JVwKbAcZLmkWYFj4qI5wr5fzKnV+R3wB8kTQGeIy0LG2OMMca0Ff2i/EXEBODdFe6V+eUZuKMr3I8rfH8J2CT/fAD4U4P8169wmwPs353sxhhjjDFLMn7DhzHGGGNMG2HlzxhjjDGmjbDyZ4wxxhjTRlj5M8YYY4xpI6z8GWOMMca0Ef32ho8lgWHDtuCIw+9stRgDxtSHOm2p3rQMtz/TStz+TDvhmT9jjDHGmDbCyp8xxhhjTBth5c8YY4wxpo2w8meMMcYY00ZY+TPGGGOMaSN82rcBM2dO4IyzR7RajAFj6JBjOePsg1otxhLJbrtv0WoRFnlemzeaqdNPaLUYpg3wqV7T7njmzxhjjDGmjbDyZ4wxxhjTRlj5M8YYY4xpI6z8GWOMMca0EVb+jDHGGGPaCCt/xhhjjDFtRLfKn6SzJD0jaWLBbUtJt0q6T9KfJQ3J7rtJGp/dx0vapRBnm+w+RdKJktRNvl/KYUPSsIK7cvwpkiZI2rrg91NJ90t6oJhHT/M2xhhjjFlSaWbmbwywZ8ntTOAbEbE5cCnwtew+E/hIdj8U+EMhzqnAEcBG+VNOs8zNwIeAx0ruexXSODKni6T3ATsCWwCbAe8Bdu5l3sYYY4wxSyTdKn8RcQPwXMl5FHBD/n4tsF8Oe3dEPJnd7weWl7SspOHAkIgYFxEB/B7YV9JgSXdI6gCQ9GNJxxfSmloh0seA30diHLBqTj+A5YBlgGWBpYGn6+XdfdUYY4wxxix59HbP3/0kJQxgf2C9ijD7AXdFxFxgBDCt4DcNGBERrwOHAadK+hBpRu4H3eQ9AniiIq1bgeuBGfnz14h4oF7e3RXQGGOMMWZJpLevd/sscKKk7wBXAK8VPSW9CzgB2L27hCLifkl/AK4EdoiI17qLU4WkDYF3Autmp2slvR94tYfpHElaTmbYsFUYOuTY3oizWDJo0NptVd6BZPKk5VstwiLPnDlDmTxpdKvFMG3A1Ic6F3CbPXs2nZ0LuhszEAx0++uV8hcRD5IVO4060VoAACAASURBVEmjgH1qfpLWJe0DPCQiHs7O0+lSysjfpxd+bw68AKzZRPbTeetMYy2tg4FxETE7y3ENsANp32GjvMtlOx04HWDkyGXi+Vnt867RoUOOpZ3KO5Bsu73f7dsdkyeNZtSmY1sthmkDqt7t29nZSUdHx8ALYwwD3/56tewrac18XQr4NnBa/r0qcBXpMMjNtfARMQOYJWn7fNL2EODyHGc0sBrwAeCknEYjrgAOyad+twdezOk/Duyc9xEuTTrs8UCjvI0xxhhj2o1mTL2cD9wKbCxpmqTPAQdKmgw8CDwJnJ2DfwnYEPiupHvypzab90XSKeEpwMPANdmEy0+Az0fEZOA3wK9zvl+WNI00UzdB0pk5nauBR3I6Z+R0AS7J6d4H3AvcGxF/rpd3D+rIGGOMMWaJodtl34g4sI7XryvC/gj4UZ107iSZYCkyk3RyuBbmxNL3E0vhySd2j65wfwP4jx7kbYwxxhjTdvgNH8YYY4wxbYSVP2OMMcaYNsLKnzHGGGNMG2HlzxhjjDGmjbDyZ4wxxhjTRvT2DR9twbBhW3DE4Xe2WowBo7Ozk0/sV9f+tTH9ytSHOiuN7xpjjOlbPPNnjDHGGNNGWPkzxhhjjGkjrPwZY4wxxrQRVv6MMcYYY9oIK3/GGGOMMW2ET/s2YObMCZxx9ohWizFgDB1yLGecfVCrxeh3dtt9i1aLYCp4bd5opk4/odVimMUYnxY3pjk882eMMcYY00ZY+TPGGGOMaSOs/BljjDHGtBFW/owxxhhj2ggrf8YYY4wxbYSVP2OMMcaYNmKhlD9JZ0l6RtLEgttqkq6V9FC+Ds3uB0maIOk+SbdI2rKU1iBJd0u6sps8V5Z0T+EzU9KvCv6flDRJ0v2Sziu4/zS7PSDpRElamLIbY4wxxiyOLOzM3xhgz5LbN4DrImIj4Lr8G+BRYOeI2Bz4IXB6Kd5XgAe6yzAiXoqIrWof4DFgLICkjYBvAjtGxLuA/8zu7wN2BLYANgPeA+zcs6IaY4wxxiz+LJTyFxE3AM+VnD8GnJO/nwPsm8PeEhHPZ/dxwLq1CJLWBfYBziy4rSLpX5I2zr/Pl3REMSNJo4A1gRuz0xHAybV8IuKZmqjAcsAywLLA0sDTvSy2McYYY8xiS3/s+VsrImbk708Ba1WE+RxQNMX+K+DrwPyaQ0S8CHwJGCPpAGBoRJxRSucA4MKIiPx7FDBK0s2SxknaM6d1K3A9MCN//hoR3c4yGmOMMcYsafTr690iIiRF0U3SB0nK307594eBZyJivKSOUvxrJe0PnAy8ZY9g5gDgM4Xfg4GNgA7SzOINkjYHhgHvpGu28VpJ74+IGykh6UjgSIBhw1Zh6JBje1TmxZlBg9Zui/JOnrR8q0UwFcyZM5TJk0a3WgyzGDP1oc5ex509ezadnb2Pb8zCMNDtrz+Uv6clDY+IGZKGA7WlVyRtQVra3Ssins3OOwIflbQ3aWl2iKQ/RsTBkpYiKW2vAEOBaYW0tgQGR8T4Qt7TgNsiYh7wqKTJdCmD4yJido57DbADXcvFbxIRp5P3I44cuUw8P6t93jU6dMixtEN5t93e7/ZdFJk8aTSjNh3bajHMYszCvNu3s7OTjo6OvhPGmB4w0O3v/7d37/FWVeX+xz9fNigql8CdqGABCqYBGxVIKwUiL5mJIhpgJ/GC2onK7BiY/bJTeY5YJ7GOZZqCmQJm3jWV1CVUmqJHkZuAttWNpAKmIG5uPr8/5ty4WO4b7Mti7/l9v17rxV5jjjnGM9aeysMYc6zZFMu+dwNnpD+fAdwFIOljJBsz/i0illZVjoiLI6JHRPQkmcl7JCK+kh7+NskmkHHANEnt8voZC8wo6PtOkkQPSaUky8AvAa8AQyW1TdsYSj02l5iZmZm1Ng2a+ZM0gyTZKpVUAVwKXA7cKulskp24p6XVfwDsCfwq/ZaVzRExqJa2DwTOAYZExFpJc4Dvp32Qtnt8wWkPAsdIWgRsAS6KiNWSbgM+BzxPsvnjgYi4pyFjNzMzM2uJGpT8RcTYGg6NqKbuOSTJXG3t5YBc+vMLJEu+VccuLKjbu5rzA7gwfeWXbwHOq61vMzMzsyzwEz7MzMzMMsTJn5mZmVmGOPkzMzMzyxAnf2ZmZmYZ4uTPzMzMLEOc/JmZmZllSJM+3q2lKy0dwIQz5xU7jGaTy+UYfcqKYodhGVW+LNegJzSYmVn9eObPzMzMLEOc/JmZmZlliJM/MzMzswxx8mdmZmaWId7wUYtVq+Zz3bTuxQ6j2XTpNInrpp1e7DB2CkcfM6DYIWTOxk2jKF8xpdhhWAvgjUFmDeOZPzMzM7MMcfJnZmZmliFO/szMzMwyxMmfmZmZWYY4+TMzMzPLECd/ZmZmZhnSoORP0g2S3pC0IK/sx5LmS3pW0kOS9s07NiwtXyjpsbzy4yS9IGm5pMl19NkxbaPqtUrS1Lzjp0lalPZxS175FWnZYkm/kKSGjN3MzMysJWrozN904LiCsp9GxICIGAjcC/wAQNJHgF8BJ0bEJ4FT0/IS4GrgC8DBwFhJB9fUYUSsjYiBVS/gZeD2tK0+wMXAZ9I+LkjLPw18BhgA9AMGA0MbOHYzMzOzFqdByV9EzAHWFJS9k/d2DyDSn8cBt0fEK2m9N9LyIcDyiHgpIjYCM4GRkjqns4EHAkiaIWlCfl+S+gJ7AXPTognA1RHxVkEfAbQHdgF2BdoBrzdk7GZmZmYtUZPc8yfpMkmvAqeTzvwBfYEuknKSnpb01bS8O/Bq3ukVQPeIeBuYCEyXNAboEhHXFXQ1BpgVEVUJZl+gr6S/SnpC0nEAEfE48CiwMn09GBGLG3XQZmZmZi1AkzzeLSIuAS6RdDFJAndp2tdhwAhgN+BxSU/U0c5sSaeSLAuXVVNlDPBvee/bAn2AYUAPYI6k/kApcFBaBjBb0pERMZcCks4FzgUoLe1Ml06T6jXm1qCkZO9Mjbc2SxftVuwQMqeysgtLF40qdhjWApQvyzV6m+vWrSOXa/x2zeqjua+/pn62783A/STJXwWwOiLeBd6VNIckoasA9ss7pwewAkBSG5KkbT3QJa1LeqwMaBsRT+edWwH8PSI2Af+QtJQPksEnImJdeu6fgCP4YLl4q4i4FrgWoGfPXeKtd7LzrNEunSaRpfHWZtDhfrZvc1u6aBR9D7692GFYC9AUz/bN5XIMGzas0ds1q4/mvv4afdk33XRRZSSwJP35LuCzktpK2h34FLAYeAroI6mXpF1IZvPuTs/5dlpnHDBNUru8tscCMwq6v5Mk0UNSKcky8EvAK8DQtO92JJs9vOxrZmZmmdOgmT9JM0iSrVJJFSQzfMenmzTeJ9mJez5ARCyW9AAwPz3224hYkLYzEXgQKAFuiIiFaRvnAEMiYm06U/j9tA+A04DjC0J6EDhG0iJgC3BRRKyWdBvwOeB5ks0fD0TEPQ0Zu5mZmVlL1KDkLyLGVlN8fS31fwr8tJry+0mWh/PLXiBZ8q16f2HB8d7VtBPAhekrv3wLcF5NcZmZmZllhZ/wYWZmZpYhTv7MzMzMMsTJn5mZmVmGOPkzMzMzyxAnf2ZmZmYZ4uTPzMzMLEOa+gkfLVpp6QAmnDmv2GE0m1wux+hTVhQ7DMuo8mW5Jnlyg5mZbcszf2ZmZmYZ4uTPzMzMLEOc/JmZmZlliJM/MzMzswzxho9arFo1n+umdS92GM2mS6dJXDft9GKH0SSOPmZAsUOwOmzcNIryFVOKHYa1AN4YZNYwnvkzMzMzyxAnf2ZmZmYZ4uTPzMzMLEOc/JmZmZlliJM/MzMzswxx8mdmZmaWIQ1K/iTdIOkNSQsKyr8haYmkhZKuyCu/WNJySS9IOjav/Li0bLmkyfXo98uS5qftT8kr31XSrLSdv0vqWVffZmZmZlnS0Jm/6cBx+QWShgMjgbKI+CTws7T8YGAM8Mn0nF9JKpFUAlwNfAE4GBib1q2WpD2BnwIj0vb3ljQiPXw28FZEHABcCUypre8Gjt3MzMysxWlQ8hcRc4A1BcVfAy6PiA1pnTfS8pHAzIjYEBH/AJYDQ9LX8oh4KSI2AjOBkZI6p7N0BwJImiFpAtAbWBYRb6bt/hk4Ja+PG9OfbwNGSFItfZuZmZllSlPc89cXODJddn1M0uC0vDvwal69irSs2vKIeBuYCEyXNAboEhHXkSRuB0rqKaktcBKwX2EfEbEZeBvYs5a+zczMzDKlKR7v1hboChwODAZuldR7RxqKiNmSTiVZFi5Ly96S9DVgFvA+8Ddg/8YIHEDSucC5AKWlnenSaVJjNb3TKynZu9WOd+mi3YodgtWhsrILSxeNKnYY1gKUL8s1epvr1q0jl2v8ds3qo7mvv6ZI/iqA2yMigCclvQ+UAiv4YIYOoEdaRk3lktoABwHrgS5p20TEPcA9aZ1zgS3puVV9VKSzgp2B1XX0vY2IuBa4FqBnz13irXey86zRLp0m0VrHO+hwP9t3Z7d00Sj6Hnx7scOwFqApnu2by+UYNmxYo7drVh/Nff01xbLvncBwAEl9gV2AVcDdwJh0R24voA/wJPAU0EdSL0m7kGzMuDtt69vAYmAcME1Su7TdvdI/uwD/Dvw2rX83cEb682jgkTQJralvMzMzs0xp0MyfpBnAMKBUUgVwKXADcEP69S8bgTPSBGyhpFuBRcBm4OsRsSVtZyLwIFAC3BARC9ONHucAQyJiraQ5wPfTPq6SVJaG8aOIWJr+fD1wk6TlJBtRxgCk7VXbt5mZmVmWNCj5i4ixNRz6Sg31LwMuq6b8fuD+grIXSJZ8q95fWFe/EVEJnLo9fZuZmZlliZ/wYWZmZpYhTv7MzMzMMsTJn5mZmVmGOPkzMzMzyxAnf2ZmZmYZ4uTPzMzMLEOa4gkfrUZp6QAmnDmv2GE0m1wux+hTqn3wiVmTK1+Wa5InN5iZ2bY882dmZmaWIU7+zMzMzDLEyZ+ZmZlZhjj5MzMzM8sQb/ioxapV87luWvdih9FsunSaxHXTTi92GA1y9DEDih2C7aCNm0ZRvmJKscOwnYQ3/5g1Hc/8mZmZmWWIkz8zMzOzDHHyZ2ZmZpYhTv7MzMzMMsTJn5mZmVmGOPkzMzMzyxAnf2ZmZmYZ0qDkT9INkt6QtKCaY9+RFJJKC8oHS9osaXRe2RmSlqWvM+rR77ckLZC0UNIFeeVdJc1O25ktqUtaLkm/kLRc0nxJhzZk3GZmZmYtVUNn/qYDxxUWStoPOAZ4paC8BJgCPJRX1hW4FPgUMAS4tCppq46kfsCEtG4ZcIKkA9LDk4GHI6IP8HD6HuALQJ/0dS7w6+0cp5mZmVmr0KDkLyLmAGuqOXQl8F0gCsq/AfwReCOv7FhgdkSsiYi3gNnAcZI+ns7glUpqI2mupGOAg4C/R8T6iNgMPAaMStsaCdyY/nwjcFJe+e8i8QTwEUn7NGTsZmZmZi1Roz/eTdJIYEVEPCcpv7w7cDIwHBicd0p34NW89xVA94h4WdIUklm6J4FFEfGQpIOAyyTtCbwHHA/MS8/tFhEr05//CXSrrQ9gJQUknUsyO0hpaWe6dJq0nZ9Ay1VSsneLH+/SRbsVOwTbQZWVXVi6aFTdFS0TypflmrW/devWkcs1b59mVZr7+mvU5E/S7sD3SJZ8C00FJkXE+/lJYW0i4reSTgXOBwamZYvTpPAh4F3gWWBLNeeGpMKZx/r0eS1wLUDPnrvEW+9k51mjXTpNoqWPd9DhfrZvS7V00Sj6Hnx7scOwnURzP9s3l8sxbNiwZu3TrEpzX3+NPfO3P9ALqJr16wE8I2kIMAiYmZaXAsdL2gysAIbltdEDyMHWZLJHWt4BWAsQEdcD16d1/otkJg/gdUn7RMTKdFm3anl5BbBfQR8rGmXEZmZmZi1IoyZ/EfE8sFfVe0nlwKCIWEWSFFaVTwfujYg70w0f/5W3yeMY4OL05ynAzcDLwHXACen5e0XEG5I+RnK/3+Fp/buBM4DL0z/vyiufKGkmycaSt/OWh83MzKwZbdq0iYqKCiorK4sdyk6hc+fOLF68uN7127dvT48ePWjXrt0O9deg5E/SDJJZu1JJFcCl6axcvUXEGkk/Bp5Ki36Ulg0luTfwMxGxRdIpks6MiGnAH9N7/jYBX4+If6XnXg7cKulskoTxtLT8fpJ7A5cD64Ezd3TMZmZm1jAVFRV07NiRnj17Ut9bwVqztWvX0rFjx3rVjQhWr15NRUUFvXr1qvuEajQo+YuIsXUc71lD+fiC9zcANxSUPcYHM3pExKi8n4+sod3VwIhqygP4em2xmpmZWfOorKx04reDJLHnnnvy5ptv7nAbfsKHmZmZNTsnfjuuoZ+dkz8zMzPLlOHDh/Pggw9uUzZ16lTOPPNMRo8eXcNZiU9/+tMAlJeXc8sttzRZjE2p0b/nz8zMzGx7lK/4QqO2V9dXBY0dO5aZM2dy7LHHbi2bOXMmV1xxBUcddVSt5/7tb38DPkj+xo0b1/CAm5ln/szMzCxTRo8ezX333cfGjRuBJJF77bXX2G+//ejXrx8ACxcuZMiQIQwcOJABAwawbNkyADp06ADA5MmTmTt3LgMHDuTKK6+kvLycI488kkMPPZRDDz10a5K4cuVKjjrqKAYOHEi/fv2YO3duEUa8Lc/8mZmZWaZ07dqVIUOG8Kc//YmRI0cyc+ZMTjvttG3upbvmmmv41re+xemnn87GjRvZsmXb50lcfvnl/OxnP+Pee+8FYP369cyePZv27duzbNkyxo4dy7x587jllls49thjueSSS9iyZQvr169v1rFWx8lfLUpLBzDhzHl1V2wlcrkco0/xd19bcZQvyzX7Ux3MLLuqln6rkr/rr9/2m+qOOOIILrvsMioqKhg1ahR9+vSptb1NmzYxceJEnn32WUpKSli6dCkAgwcP5qyzzmLTpk2cdNJJDBw4sMnGVF9e9jUzM7PMGTlyJA8//DDPPPMM69ev57DDDtvm+Lhx47j77rvZbbfdOP7443nkkUdqbe/KK6+kW7duPPfcc8ybN2/rkvJRRx3FnDlz6N69O+PHj+d3v/tdk42pvpz8mZmZWeZ06NCB4cOHc9ZZZzF27Ie/tvill16id+/efPOb32TkyJHMnz9/m+MdO3Zk7dq1W9+//fbb7LPPPrRp04abbrpp6zLxyy+/TLdu3ZgwYQLnnHMOzzzzTNMOrB6c/JmZmVkmjR07lueee67a5O/WW2+lX79+DBw4kAULFvDVr351m+MDBgygpKSEsrIyrrzySv793/+dG2+8kbKyMpYsWcIee+wBJLdUlZWVccghhzBr1iy+9a1vNcvYaqPk4RdWnUGDBsW8edm652/YsGHFDsMyytefFZOvv+a1ePFiDjrooGKHsdPYnse7VanuM5T0dEQMqutcz/yZmZmZZYh3+9Zi1ar5XDete7HDaDZdOk3iummnb9c5Rx8zoImisazZuGkU5SumFDsMa0LezW22c/DMn5mZmVmGOPkzMzMzyxAnf2ZmZmYZ4uTPzMzMLEOc/JmZmVkm/fOf/2TMmDHsv//+HHbYYRx//PFbH8vWmnm3r5mZmRVVY3+zxoQz635OfURw8sknc8YZZzBz5kwAnnvuOV5//XX69u3bqPEU2rx5M23bFi8Fq3PmT9INkt6QtCCv7KeSlkiaL+kOSR9Jy9tJulHS85IWS7o475zjJL0gabmkyfXo9zJJr0paV1C+q6RZaTt/l9QzLT9a0tNp309L+lw1bd6dPw4zMzPLpkcffZR27dpx/vnnby0rKyvjs5/9LBdddBH9+vWjf//+zJo1C0i+CHzo0KGMHDmS3r17M3nyZG6++WaGDBlC//79efHFFwEYP348559/PoMGDaJv377ce++9AEyfPp0TTzyRz33uc4wYMYJ169YxYsQIDj30UA4//HDuuusuAN59912++MUvUlZWRr9+/bb235jqk3ZOB/4XyH8S8Wzg4ojYLGkKcDEwCTgV2DUi+kvaHVgkaQbwKnA1cDRQATwl6e6IWFRLv/ek/S4rKD8beCsiDpA0BpgCfBlYBXwpIl6T1A94ENj6TwlJo4B1mJmZWeYtWLCAww477EPlt99+O88++yzPPfccq1atYvDgwRx11FFAMjO4ePFiunbtSu/evTnnnHN48sknueqqq/jlL3/J1KlTASgvL+fJJ5/kxRdfZPjw4SxfvhyAZ555hvnz59O1a1c2b97MHXfcQadOnSgvL+fzn/88J554Ig888AD77rsv9913H5A8M7ix1TnzFxFzgDUFZQ9FxOb07RNAj6pDwB6S2gK7ARuBd4AhwPKIeCkiNgIzgZGSOqezgQcCSJohaULaxxMRsbKakEYCN6Y/3waMkKSI+L+IeC0tXwjsJmnXtN0OwIXAT+oar5mZmWXXX/7yF8aOHUtJSQndunVj6NChPPXUUwAMHjyYffbZh1133ZX999+fY445BoD+/ftTXl6+tY3TTjuNNm3a0KdPH3r37s2SJUsAOProo+natSuQLDt/73vfY8CAAZx44omsWLGC119/nf79+zN79mwmTZrE3Llz6dy5c6OPsTEWnM8CquYkbyNJzlYCuwPfjog1krqTzP5VqQA+FRFvS5oITJd0FdAlIq6ro7+tbaUzj28De5LM/FU5BXgmIjak738M/A+wvq7BSDoXOBegtLQzXTpNquuUVqOkZO/tHu/SRbs1UTSWNZWVXVi6aFSxw7AmVL4sV+wQarRu3TpyuVyxw8iMzp07s3bt2iZrvz5t9+rVi1mzZn2o7saNG6msrNxavmnTJt577z3atm1LSUnJ1vKIYPPmzaxdu5bKysqt52zatIkNGzZsrbdlyxbWr19PZWUl7dq121p+8803s3LlSnK5HG3atKGsrIxVq1bx8Y9/nMcee4yHHnqIiy++mKFDhzJ58ofvlqusrNzha7ZByZ+kS4DNwM1p0RBgC7Av0AWYK+nPtbUREbMlnUqyLFzWkHjSmD5JshR8TPp+ILB/RHy76v7AOuK5FrgWoGfPXeKtd7LzuKkunSaxveMddLgf72aNY+miUfQ9+PZih2FNaGd+vFsul2PYsGHFDiMzFi9eTMeOHZus/fq0fcIJJ/CTn/yEGTNmcO655wIwf/589tprL+666y7OO+881qxZw+OPP87UqVNZsmQJbdu23dp2SUkJe+yxBx07dmT33Xffeqxdu3bcc889nHfeefzjH//g5Zdf5tBDD2Xp0qXssssuW8/fsGED++67L127duW+++7jlVdeoUOHDqxdu5Zu3boxYcIE9tlnH377299WO5727dtzyCGH7NDns8PJn6TxwAnAiIiItHgc8EBEbALekPRXYBDJTN1+eaf3AFak7bQBDiKZletCMitYmxVpWxXp8nJnYHXaVg/gDuCrEfFiWv8IYJCk8nS8e0nKRcSwHRu5mZmZtXSSuOOOO7jggguYMmUK7du3p2fPnkydOpV169ZRVlaGJK644gr23nvvrUu39fGxj32MIUOG8M4773DNNdfQvn37D9U5/fTT+dKXvkT//v0pKyvjE5/4BADPP/88F110EW3atKFdu3b8+te/brQxV9EHeVstlZIZs3sjol/6/jjg58DQiHgzr94k4BMRcaakPYCngDHAImApMIIkeXsKGBcRCyV9BzgQuAm4EjgiTR6r2lwXER3y3n8d6B8R56cbPkZFxGnpjuPHgP+MiGqnDwrHUZeePXeJSy79aH2qtgo7MvN39DGe+bPG4Zm/1s8zf1Zl8eLFHHTQQcUOo0mMHz+eE044gdGjR9f7nLVr1273TGh1n6GkpyNiUF3n1uerXmYAjwMHSqqQdDbJLtyOwGxJz0q6Jq1+NdBB0kKSBG9aRMxPN4dMJNmBuxi4NU38DgTOAb4TEXOBOcD3036vkFQB7J72+8O0j+uBPSUtJ9nEUbUQPhE4APhBGtOzkvaqa3xmZmZmWVLnsm9EjK2m+Poa6q4j+bqX6o7dD9xfUPYCyZJv1fsL837+LvDdatqprK6PiPgJdezmjYhyoF6zfmZmZmbba/r06cUOoU5+vJuZmZlZhjj5MzMzs2ZXnz0HVr2GfnZO/szMzKxZtW/fntWrVzsB3AERwerVq6vdQVxfxXuqsJmZmWVSjx49qKio4M0336y7cgZUVlZuVzLXvn17evToUXfFGjj5MzMzs2bVrl07evXqVewwdhq5XG6Hv7B5Rzj5q0Vp6QAmnDmv2GE0m1wux+hTVhQ7DMuo8mW5nfp74MzMWgvf82dmZmaWIU7+zMzMzDKkXo93yypJbwIvb8cpnYG3t7Ob7TmnPnXrqlPb8VJgVT1j2VntyO9gZ+qvIe35+iuu5r72mqLPnfX6a6x6vv523j4b2pavv8THI6Lu59JGhF+N9AKubcpz6lO3rjq1HQfmFfszLMbvYGfqryHt+for7qu5r72m6HNnvf4aq56vv523z4a25etv+15e9m1c9zTxOfWpW1edHYmxJWnu8TV2fw1pz9dfcRVjbFm5/hqrnq+/nbfPhrbl6287eNnXtpI0LyIGFTsOyyZff1ZMvv6smJr7+vPMn+W7ttgBWKb5+rNi8vVnxdSs159n/szMzMwyxDN/ZmZmZhni5M/MzMwsQ5z8mZmZmWWIkz+rkaTekq6XdFuxY7HskXSSpOskzZJ0TLHjsWyRdJCkayTdJulrxY7HskfSHpLmSTqhsdt28pcxkm6Q9IakBQXlx0l6QdJySZMBIuKliDi7OJFaa7Sd19+dETEBOB/4cjHitdZlO6+/xRFxPnAa8JlixGuty/Zcf6lJwK1NEYuTv+yZDhyXXyCpBLga+AJwMDBW0sHNH5plwHS2//r7fnrcrKGmsx3Xn6QTgfuA+5s3TGulplPP60/S0cAi4I2mCMTJX8ZExBxgTUHxEGB5OtO3EZgJjGz24KzV257rT4kpwJ8i4pnmjtVan+3916h+MgAAC81JREFU/19E3B0RXwBOb95IrTXazutvGHA4MA6YIKlR87W2jdmYtVjdgVfz3lcAn5K0J3AZcIikiyPiv4sSnbV21V5/wDeAzwOdJR0QEdcUIzhr9Wr6/98wYBSwK575s6ZT7fUXERMBJI0HVkXE+43ZqZM/q1FErCa538qs2UXEL4BfFDsOy6aIyAG5IodhGRcR05uiXS/7GsAKYL+89z3SMrPm4OvPisnXnxVTUa4/J38G8BTQR1IvSbsAY4C7ixyTZYevPysmX39WTEW5/pz8ZYykGcDjwIGSKiSdHRGbgYnAg8Bi4NaIWFjMOK118vVnxeTrz4ppZ7r+FBFN3YeZmZmZ7SQ882dmZmaWIU7+zMzMzDLEyZ+ZmZlZhjj5MzMzM8sQJ39mZmZmGeLkz8zMzCxDnPyZtSKSjpB0q6TXJG2UtFrSbElnSCppoj4HSvqhpK7VHAtJP6xHGzlJuUaMabqk8h08d1ga97DGisd2nKQLJc2XpPR9z/T3M74J+5wqyc/ztVbLyZ9ZKyHpAuCvQFdgEvB54CxgKfBr4IQm6nogcGnab6EjgN82Ub/Wykn6CHAJ8KNo3i+lnQIMlzS8Gfs0azZtix2AmTWcpKOAnwP/GxHfLDh8l6SfA3s0d1wR8URz95lFknaNiA3FjqMJnA1sBO5ozk4jYqWke4CLgEebs2+z5uCZP7PWYRKwBvhudQcj4sWImA8g6aOSfiNpqaT1kl6VdIuk7vnnpEu5IamPpPskrZP0sqQfSGqT1hkPTEtPWZbWD0k90+MfWvaVNEbSEkkbJC2UdHJhvJLaS7pS0oK0339KukfSJ6qpO0LSM5IqJb0o6bz6fmjpZ3GLpHck/UvS74CP1FB3lKQn0s/sX5L+IOlj9egjJ+kvkkam49mQjv+0auqWSbpb0luS3pP0V0lHFtSZnj4a6ghJf5P0HnBFemycpP9LP7N3JD1f+HlI+oqk59LPa5WkmyTtU1CnXNLv09/VYknvSpon6bMF9QZLui2N5z1JL0j6L0m7FdQ7No317TS2FyT9oK7PDjiH5HFXW+qqWM9x7S7p10puh1gn6Q5Jn65hGXkmcKyk/eoRp1mL4uTPrIVTci/fcOChiKisxyldgUrgYuA4ktmNPsBfJbWvpv4dwCPAScCdwH8CZ6TH7gN+kv58Ksky7xHAyhpi/TxwC7AMGAX8FLgKOLCg6q5Ax7TtLwJfA9oDj0vaO6+9g4D7gfdIHoj+PeACYESdn0LidpLl8O8BXwY2A7+sJu7zgT8Ci4DRwHlAP+AxSR3r0c8BwC+A/yEZ93JgZv6yoqRDgb+R/H4mAKcAq4E/SzqsoL3OJMnJDOALwC1pYvZ74DGS39Vo4DrykllJ5wI3kTxDdBQwGTg2HUeHgj6OBL4D/L/0sykB7lWyFFvlY8CzwPkk19JVJLcaVP2DAEm9SR5U/4+0nRNJZqlrnYmW9HHgE8Dc2upt57iuTeP7GXAy8AJwcw3NziX5O/Louvo3a3Eiwi+//GrBL6AbEMB/7+D5JcB+aRsn55X/MC07s6D+8ySJZtX78Wm9A6ppO4Af5r3/K0kC1Sav7PC0Xq6OGHcH1gLfziu/GVgF7JFXth/JUmF5HeM+Ou13TEH5n9LyYen7DsDbwA0F9Xql/VxQRz+5tL3DC8azBJibV/YwSfKyS0G9xcCdeWXT0/ZGFvTzH8CaOj7D14FHC8o/m7b3zbyycuAtoEte2aC03rga2hfJrURfAd4H9kzLR6fnddrO6/LL6Xl9Csp7puXjt2dcJP/AeB/4bkG9X+S3V3DsVeDaHfnvyi+/duaXZ/7MMkjS19IlsnUks12vpIcKZ+Agmd3Lt4Bkxmd7+ywBBgO3RcT7VeWR3BdYXk390yT9XdK/0hjfJUnE8mM8Arg/It7Na+9VkiSzLkcAW0hm9PLNrKZeJ+BmSW2rXiSJwRLgqHr09Wrk3f8YyTLmH4Ahktqky6RD07L38/oQ8Odq+tgE3FtQ9hTQJV2uPaFghg6Sz20vCma6IuIvwMtp//kej4i38t4/n/659XcvqZOkKZJeBDakcd2Uxt0nrfZsWj5T0mhJexV+ODXYN/3zzTrq1Xdcn0rj+kPB+bfV0vabeXGYtRpO/sxavtUky54fr09lSd8AfkWSVIwChpDMvkGytFpoTcH7DTXUq0sp0I5klqbQNmWSvgTMIpn1GkfyF/dgkr+M8/vepz7t1WAf4K2I2FTHuVXJyp9Jkpj8V39gz3r0VVOMuwAfJVnqLSFZYi3sYyJJUpf//+s3o+A+uIh4jGTpfT+Spfo3Jf1Z0oC0StVu7OqW5P/Jh3drb/N7jw82lOR//tNIlnx/QTKTOhj4en69iFhOsgTbhiQx/Gd672Rhslmoqp+6NrLUd1xV9/+9UVCntmvlPWC3Wo6btUje7WvWwkXEZiXfkXe06rfrcwzwcER8p6pAUq+mjDG1iiSZ6VbNsW4kszRVxgDLI2J8VYGkdnw4QVlZS3t1WUmSVLUrSAALz12d/jkeWFhNO2vr0VdNMW4kSWh3I1mSvBr4XXUN5M+WkixTVlfnNuC29D63YSRfWfKApB58kMztXc2pewNP1zmKPOn9oSNJlvWvyivvX01cjwKPStoV+AzwI+A+ST0jYlUNXVR97l1IkrCa1HdcVcnhXiT3H1ap7VrpCsyv5bhZi+SZP7PW4XKSGagrqjsoqVfeDNDuJElYvjMb0HdVslnrDEk6U/UUMDp/FkvSp0ju48q3O8lSb75/I5kdy/c4cLykrZsH0t2Zn6lH3I+n7Z1SUD6m4P3fSBK8AyJiXjWvF+rR136SqmZXq5bATwWejIj302XruUAZ8Ex1/dSjj60iYl1E3Av8hmTGa0+SzQ2vF45P0qdJZo1z29MHyaacEj58LY2vJa4NEfEIyXW6B8l9kzVZkv7Zu4446juuJ0mS5lMLzi98X3V+CckSd31+v2Ytimf+zFqBiJgj6ULg55IOJtkU8ArJrMkIkq/MGEcyi/EAMEnS90j+QvwcyU35O2pR+ufXJd1IkgzMj4iN1dS9FHgIuFPSb0iWPP+TZHku3wPASZKuJLm3bRDwDeBfBfV+QvKX90OSfkqyjPpD6rHsGxGzJf0F+I2kUpIdyF8m2cWbX+8dSRcBV0v6KMmGkLeB7iT3k+Ui4pY6unsdmCXpUpKZvq8BfdM/q1wIzAEelHQ9yUxVKXAoUBIRk2vrQNKPSGaxHgVeA3oA3wSejYg30zo/SMf7e5Kdwd2By9Kx31DHGLYREW9LegL4jqSVJDO7Z6Vt5sd1Psk9i/eT3CdZSrLT/DWS+0dr8iTJPyyGAH+pJY4t9RlXRCyRdAvw4/QfH0+TXPtfSpt6v6DpfiT/CJlTS4xmLVOxd5z45ZdfjfcCPk1yQ/tKkiRsDUmy9RXSHbYkM3S/JklC1pIkV7348M7cH6ZlbQv6mE7BTlqSpG4FyQaKAHqm5du0mZaNJZlN2UCyjHoyyexMLq9OG5LE7jVgPcnXlxxCsjFkekF7nwf+L23vJZKvYflQjDV8Xh8l+bqUtSSJ5e9IljK37vbNq3s8SWL1ThpTVWJxcB195EiSlxNJkp0N6fi/XE3dg0g2nLyR1qsg+ZqU4ws+/4pqzv0i8GD6u99AkmhdD+xbUO8rwHNpndUk9+HtU1CnHPh9NX0UXiM9SZLhtWnM/5vGkb9b+gjgrjSeDWl8fwAOrMfvZxYf3sXbk2p259ZzXLuTXPtrgHXpZ1sVb+Hu6UvSWNvWFadffrW0lyKa84k5ZmbZkt6P2TYiPltXXduWkucrP0Lyj4lX6qi+o338B8ky9DZ9SFoE/DEi/l9T9GtWTF72NTOznVJE5CQ9TPLkmokNbU/SCSTLuc+SLPMeSfL9iLcWJH4jSZbQ/6ehfZrtjJz8mZnZzuwbJPd/Khq+VLWW5Oknk0k2nKwg+ZqaSwvq7QZ8JSIK7zE1axW87GtmZmaWIf6qFzMzM7MMcfJnZmZmliFO/szMzMwyxMmfmZmZWYY4+TMzMzPLECd/ZmZmZhny/wGsRdeiOvkAXwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots(figsize=(10,5))\n",
    "\n",
    "g = sns.countplot(data=res,y='Resolucion',order=res['Resolucion'].value_counts().head(10).index,color='#F7FE2E')\n",
    "g = sns.countplot(data=res.loc[res.Compro==True],y='Resolucion',order=res['Resolucion'].value_counts().head(10).index,color='#AEB404')\n",
    "plt.xscale('log')\n",
    "plt.legend(['Visitas','Compras'])\n",
    "g.set_xlabel('Cantidad de personas (log)', size=16)\n",
    "g.set_ylabel('')\n",
    "g.grid()\n",
    "g.set_title('Cantidad de personas que visitaron/compraron \\n vs Resolucion que utilizaron para ingresar \\n (log)',size=22)\n",
    "g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}