DataExploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Starbucks Capstone Challenge\n",
    "# Data Exploration\n",
    "\n",
    "This notebook aims to load files and present some data visualization in order to understand the distribution and characteristics of the data, and possibly identify inconsistencies.  \n",
    "\n",
    "Data exploration is one of the most important parts of the machine learning workflow because it allows you to notice any initial patterns in data distribution and features that may inform how to proceed with modeling and clustering the data.  \n",
    "\n",
    "Data exploration uses visual exploration to understand what is in a dataset and the characteristics of the data. These characteristics can include size or amount of data, completeness and correctness of the data, and possible relationships amongst data elements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Import all the necessary libraries\n",
    "import base64\n",
    "import os\n",
    "from io import BytesIO\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from IPython.display import display_html\n",
    "from matplotlib.figure import Figure\n",
    "from sklearn.preprocessing import robust_scale, quantile_transform, scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Global definitions\n",
    "\n",
    "data_dir = 'data'\n",
    "\n",
    "pd.set_option('display.precision', 2)\n",
    "pd.set_option('display.max_colwidth', None)\n",
    "pd.set_option('display.max_columns', None)\n",
    "\n",
    "portfolio_data_path = os.path.join(data_dir, 'portfolio.json')\n",
    "profile_data_path = os.path.join(data_dir, 'profile.json')\n",
    "transcript_data_path = os.path.join(data_dir, 'transcript.json')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "## global functions\n",
    "\n",
    "def load_dataframe(data_path):\n",
    "    \"\"\"Create a dataframe from a json file\"\"\"\n",
    "    return pd.read_json(data_path, orient='records', lines=True)\n",
    "\n",
    "\n",
    "def convert_fig_to_html(figure):\n",
    "    \"\"\"\n",
    "    Convert a given matplotlib figure to HTML code\n",
    "    \n",
    "    Attributes:\n",
    "    figure (matplotlib.figure.Figure): Generated without using pyplot.\n",
    "    \n",
    "    Return:\n",
    "    return: img-html tag containing the figure data\n",
    "    \"\"\"\n",
    "    # Save figure to a temporary buffer\n",
    "    buf = BytesIO()\n",
    "    figure.savefig(buf, format=\"png\")\n",
    "    # Embed the result in the html output\n",
    "    data = base64.b64encode(buf.getbuffer()).decode(\"ascii\")\n",
    "    return f'<img src=\"data:image/png;base64,{data}\" ' \\\n",
    "            'style=\"display:inline;top:0%\"/>'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Portfolio data set\n",
    "Data set containing information about the offers which can be sent to customers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>reward</th>\n",
       "      <th>channels</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>duration</th>\n",
       "      <th>offer_type</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>[email, mobile, social]</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>bogo</td>\n",
       "      <td>ae264e3637204a6fb9bb56bc8210ddfd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>bogo</td>\n",
       "      <td>4d5c57ea9a6940dd891ad53e9dbe8da0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>[web, email, mobile]</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>informational</td>\n",
       "      <td>3f207df678b143eea3cee63160fa8bed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>[web, email, mobile]</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>bogo</td>\n",
       "      <td>9b98b8c7a33c4b65b9aebfe6a799e6d9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>[web, email]</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>discount</td>\n",
       "      <td>0b1e1539f2cc45b7b9fa7c272da2e1d7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>discount</td>\n",
       "      <td>2298d6c36e964ae4a3e7e9706d1fb8c2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>discount</td>\n",
       "      <td>fafdcd668e3743c1bb461111dcafc2a4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0</td>\n",
       "      <td>[email, mobile, social]</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>informational</td>\n",
       "      <td>5a8bc65990b245e5a138643cd4eb9837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>bogo</td>\n",
       "      <td>f19421c1d4aa40978ebb69ca19b0e20d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>[web, email, mobile]</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>discount</td>\n",
       "      <td>2906b810c7d4411798c6938adc9daaa5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   reward                      channels  difficulty  duration     offer_type  \\\n",
       "0      10       [email, mobile, social]          10         7           bogo   \n",
       "1      10  [web, email, mobile, social]          10         5           bogo   \n",
       "2       0          [web, email, mobile]           0         4  informational   \n",
       "3       5          [web, email, mobile]           5         7           bogo   \n",
       "4       5                  [web, email]          20        10       discount   \n",
       "5       3  [web, email, mobile, social]           7         7       discount   \n",
       "6       2  [web, email, mobile, social]          10        10       discount   \n",
       "7       0       [email, mobile, social]           0         3  informational   \n",
       "8       5  [web, email, mobile, social]           5         5           bogo   \n",
       "9       2          [web, email, mobile]          10         7       discount   \n",
       "\n",
       "                                 id  \n",
       "0  ae264e3637204a6fb9bb56bc8210ddfd  \n",
       "1  4d5c57ea9a6940dd891ad53e9dbe8da0  \n",
       "2  3f207df678b143eea3cee63160fa8bed  \n",
       "3  9b98b8c7a33c4b65b9aebfe6a799e6d9  \n",
       "4  0b1e1539f2cc45b7b9fa7c272da2e1d7  \n",
       "5  2298d6c36e964ae4a3e7e9706d1fb8c2  \n",
       "6  fafdcd668e3743c1bb461111dcafc2a4  \n",
       "7  5a8bc65990b245e5a138643cd4eb9837  \n",
       "8  f19421c1d4aa40978ebb69ca19b0e20d  \n",
       "9  2906b810c7d4411798c6938adc9daaa5  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "portfolio_df = load_dataframe(portfolio_data_path)\n",
    "display(portfolio_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are three types of offers that can be sent: buy-one-get-one\n",
    "(BOGO), discount, and informational:\n",
    "* In a BOGO offer, a user needs to spend a certain amount to get a reward equal to that threshold amount.  \n",
    "* In a discount, a user gains a reward equal to a fraction of the amount spent.  \n",
    "* In an informational offer, there is no reward, but neither is there a requisite amount that the user is expected to spend.\n",
    "\n",
    "Offers can be delivered via multiple channels:\n",
    "* email\n",
    "* social media\n",
    "* on the web\n",
    "* via the Starbucks’s app.\n",
    "\n",
    "Every offer has a validity period (*duration*) before the offer expires.  \n",
    "We see that informational offers have a validity period even though these ads are merely providing information about a product. Here, the duration is the assumed period in which the customer is feeling the influence of the offer after receiving the advertisement."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing data: False\n",
      "\n",
      "Dataset description:\n"
     ]
    },
    {
     "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>reward</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>duration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.20</td>\n",
       "      <td>7.70</td>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.58</td>\n",
       "      <td>5.83</td>\n",
       "      <td>2.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.00</td>\n",
       "      <td>8.50</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.00</td>\n",
       "      <td>10.00</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.00</td>\n",
       "      <td>20.00</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       reward  difficulty  duration\n",
       "count   10.00       10.00     10.00\n",
       "mean     4.20        7.70      6.50\n",
       "std      3.58        5.83      2.32\n",
       "min      0.00        0.00      3.00\n",
       "25%      2.00        5.00      5.00\n",
       "50%      4.00        8.50      7.00\n",
       "75%      5.00       10.00      7.00\n",
       "max     10.00       20.00     10.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Missing data: {}\\n'.format(portfolio_df.isna().any().any()))\n",
    "\n",
    "print('Dataset description:')\n",
    "display(pd.DataFrame(portfolio_df.describe()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this portfolio, any offer is sent by email, so this is an informative feature and might be filtered out when feeding the neural networks.  \n",
    "Apart from that, no issue is noticeable in this dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scale values\n",
    "Features *reward*, *difficulty*, and *duration* present values in different ranges. It is a good practice to scale then to the same range than other features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(15,4), nrows=1, ncols=2)\n",
    "\n",
    "rdd_df = portfolio_df[['reward','difficulty','duration']]\n",
    "rdd_df.plot.density(ax=axs[0])\n",
    "axs[0].set_title('Original data')\n",
    "axs[0].set_xlabel('Original value')\n",
    "\n",
    "data_transformed = robust_scale(rdd_df)\n",
    "rdd_df = pd.DataFrame(data_transformed, columns=rdd_df.columns, index=rdd_df.index)\n",
    "\n",
    "rdd_df.plot.density(ax=axs[1])\n",
    "axs[1].set_title('Transformed data')\n",
    "axs[1].set_xlabel('Scaled value')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Profile data set\n",
    "Dataset containing demographic data for each one of the reward program users."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>gender</th>\n",
       "      <th>age</th>\n",
       "      <th>id</th>\n",
       "      <th>became_member_on</th>\n",
       "      <th>income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>118</td>\n",
       "      <td>68be06ca386d4c31939f3a4f0e3dd783</td>\n",
       "      <td>20170212</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>F</td>\n",
       "      <td>55</td>\n",
       "      <td>0610b486422d4921ae7d2bf64640c50b</td>\n",
       "      <td>20170715</td>\n",
       "      <td>112000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None</td>\n",
       "      <td>118</td>\n",
       "      <td>38fe809add3b4fcf9315a9694bb96ff5</td>\n",
       "      <td>20180712</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>F</td>\n",
       "      <td>75</td>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>20170509</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>118</td>\n",
       "      <td>a03223e636434f42ac4c3df47e8bac43</td>\n",
       "      <td>20170804</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  gender  age                                id  became_member_on    income\n",
       "0   None  118  68be06ca386d4c31939f3a4f0e3dd783          20170212       NaN\n",
       "1      F   55  0610b486422d4921ae7d2bf64640c50b          20170715  112000.0\n",
       "2   None  118  38fe809add3b4fcf9315a9694bb96ff5          20180712       NaN\n",
       "3      F   75  78afa995795e4d85b5d9ceeca43f5fef          20170509  100000.0\n",
       "4   None  118  a03223e636434f42ac4c3df47e8bac43          20170804       NaN"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "profile_df = load_dataframe(profile_data_path)\n",
    "display(profile_df.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyzing the missing values\n",
    "At a glance, it is possible to notice empty values in columns **income** and **gender**, as well as missing value encoded as 118 in the column **age**.  \n",
    "Also, aparently, those values are present in the same rows. It would be productive to verify if they always accur together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_fdcf2208_4b85_11ea_a036_2ba4ea381bcc\" ><caption>Counting not null features</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >gender</th>        <th class=\"col_heading level0 col1\" >age</th>        <th class=\"col_heading level0 col2\" >id</th>        <th class=\"col_heading level0 col3\" >became_member_on</th>        <th class=\"col_heading level0 col4\" >income</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_fdcf2208_4b85_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_fdcf2208_4b85_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >14825</td>\n",
       "                        <td id=\"T_fdcf2208_4b85_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >17000</td>\n",
       "                        <td id=\"T_fdcf2208_4b85_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >17000</td>\n",
       "                        <td id=\"T_fdcf2208_4b85_11ea_a036_2ba4ea381bccrow0_col3\" class=\"data row0 col3\" >17000</td>\n",
       "                        <td id=\"T_fdcf2208_4b85_11ea_a036_2ba4ea381bccrow0_col4\" class=\"data row0 col4\" >14825</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c11a2c518>"
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    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bcc\" ><caption>Dataframe description</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >count</th>        <th class=\"col_heading level0 col1\" >mean</th>        <th class=\"col_heading level0 col2\" >std</th>        <th class=\"col_heading level0 col3\" >min</th>        <th class=\"col_heading level0 col4\" >25%</th>        <th class=\"col_heading level0 col5\" >50%</th>        <th class=\"col_heading level0 col6\" >75%</th>        <th class=\"col_heading level0 col7\" >max</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >age</th>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >17000.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >62.53</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >26.74</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col3\" class=\"data row0 col3\" >18.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col4\" class=\"data row0 col4\" >45.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col5\" class=\"data row0 col5\" >58.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col6\" class=\"data row0 col6\" >73.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow0_col7\" class=\"data row0 col7\" >118.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >became_member_on</th>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >17000.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col1\" class=\"data row1 col1\" >20167034.23</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col2\" class=\"data row1 col2\" >11677.50</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col3\" class=\"data row1 col3\" >20130729.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col4\" class=\"data row1 col4\" >20160526.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col5\" class=\"data row1 col5\" >20170802.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col6\" class=\"data row1 col6\" >20171230.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow1_col7\" class=\"data row1 col7\" >20180726.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >income</th>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >14825.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col1\" class=\"data row2 col1\" >65404.99</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col2\" class=\"data row2 col2\" >21598.30</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col3\" class=\"data row2 col3\" >30000.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col4\" class=\"data row2 col4\" >49000.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col5\" class=\"data row2 col5\" >64000.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col6\" class=\"data row2 col6\" >80000.00</td>\n",
       "                        <td id=\"T_fdd1dbc4_4b85_11ea_a036_2ba4ea381bccrow2_col7\" class=\"data row2 col7\" >120000.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c3c35c7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_fdd2c502_4b85_11ea_a036_2ba4ea381bcc\" ><caption>Gender by user</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >M</th>        <th class=\"col_heading level0 col1\" >F</th>        <th class=\"col_heading level0 col2\" >O</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_fdd2c502_4b85_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >gender</th>\n",
       "                        <td id=\"T_fdd2c502_4b85_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >8484</td>\n",
       "                        <td id=\"T_fdd2c502_4b85_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >6129</td>\n",
       "                        <td id=\"T_fdd2c502_4b85_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >212</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c3ee2d940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Investigating whether all missing values are in the same rows.\n",
      "Gender:\tnumber of NA: \t 2175\n",
      "Income:\tnumber of NA: \t 2175\n",
      "Age:\tmissing values:\t 2175\n",
      "\n",
      "Are gender and income missing in the same rows?\tTrue\n",
      "Are gender and age missing in the same rows?\tTrue\n",
      "Are income and age missing in the same rows?\tTrue\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bcc\" ><caption>When did they register?</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >count</th>        <th class=\"col_heading level0 col1\" >mean</th>        <th class=\"col_heading level0 col2\" >std</th>        <th class=\"col_heading level0 col3\" >min</th>        <th class=\"col_heading level0 col4\" >25%</th>        <th class=\"col_heading level0 col5\" >50%</th>        <th class=\"col_heading level0 col6\" >75%</th>        <th class=\"col_heading level0 col7\" >max</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >became_member_on</th>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >2175.00</td>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >20168036.78</td>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >10091.05</td>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col3\" class=\"data row0 col3\" >20130802.00</td>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col4\" class=\"data row0 col4\" >20160704.50</td>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col5\" class=\"data row0 col5\" >20170731.00</td>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col6\" class=\"data row0 col6\" >20171226.00</td>\n",
       "                        <td id=\"T_fdd5b0c8_4b85_11ea_a036_2ba4ea381bccrow0_col7\" class=\"data row0 col7\" >20180726.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c3ee2d940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bcc\" ><caption>When did other users register?</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >count</th>        <th class=\"col_heading level0 col1\" >mean</th>        <th class=\"col_heading level0 col2\" >std</th>        <th class=\"col_heading level0 col3\" >min</th>        <th class=\"col_heading level0 col4\" >25%</th>        <th class=\"col_heading level0 col5\" >50%</th>        <th class=\"col_heading level0 col6\" >75%</th>        <th class=\"col_heading level0 col7\" >max</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >became_member_on</th>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >14825.00</td>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >20166887.15</td>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >11885.65</td>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col3\" class=\"data row0 col3\" >20130729.00</td>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col4\" class=\"data row0 col4\" >20160520.00</td>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col5\" class=\"data row0 col5\" >20170802.00</td>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col6\" class=\"data row0 col6\" >20171230.00</td>\n",
       "                        <td id=\"T_fdd7ee06_4b85_11ea_a036_2ba4ea381bccrow0_col7\" class=\"data row0 col7\" >20180726.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c3c357470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(pd.DataFrame(profile_df.count()).T \\\n",
    "        .style.set_caption('Counting not null features'))\n",
    "\n",
    "display(profile_df.describe().T \\\n",
    "        .style.set_caption('Dataframe description'))\n",
    "\n",
    "display(pd.DataFrame(profile_df.gender.value_counts()).T \\\n",
    "        .style.set_caption('Gender by user'))\n",
    "\n",
    "print('\\nInvestigating whether all missing values are in the same rows.')\n",
    "gender_isna = profile_df.gender.isna()\n",
    "income_isna = profile_df.income.isna()\n",
    "age_missing = profile_df.age == 118\n",
    "\n",
    "print('Gender:\\tnumber of NA: \\t', gender_isna.sum())\n",
    "print('Income:\\tnumber of NA: \\t', income_isna.sum())\n",
    "print('Age:\\tmissing values:\\t', age_missing.sum())\n",
    "\n",
    "print('\\nAre gender and income missing in the same rows?\\t{}' \\\n",
    "      .format(gender_isna.isin(income_isna).all()))\n",
    "print('Are gender and age missing in the same rows?\\t{}' \\\n",
    "      .format(gender_isna.isin(age_missing).all()))\n",
    "print('Are income and age missing in the same rows?\\t{}' \\\n",
    "      .format(income_isna.isin(age_missing).all()))\n",
    "\n",
    "display(pd.DataFrame(profile_df.became_member_on[gender_isna])\\\n",
    "        .describe().T.style.set_caption('When did they register?'))\n",
    "display(pd.DataFrame(profile_df.became_member_on[~gender_isna])\\\n",
    "        .describe().T.style.set_caption('When did other users register?'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By analyzing data above, it is possible to conclude that all the missing values occur in the same rows.  \n",
    "This may have several possible causes, for instance:  \n",
    "* the interface where those profiles were created might not have requested those information to be input, or\n",
    "* those users may not have agreeded with the privacy policy.  \n",
    "\n",
    "In addition to that, those users have been signing up all over the analyzed period in the same fashion than the other users.  \n",
    "\n",
    "Altough those users could be filtered out of the data set, they might have some peculiar behaviour which would be interesting to be analyzed. Thus, my approach with those record is:\n",
    "* maintain those records in the data set\n",
    "* mark those users as belonging to a particular class, by creating a new feature for that\n",
    "* since gender is a discrete feature, create another gender category\n",
    "* as age and income are continuous features, fill them with the respective mean values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore ages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<center><style  type=\"text/css\" >\n",
       "</style><table id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Ages description</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >age</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >14825.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >54.39</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >17.38</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >18.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >42.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >55.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >66.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_fe3412d0_4b85_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >101.00</td>\n",
       "            </tr>\n",
       "    </tbody></table><img 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\" 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Select registers with valid age\n",
    "age_df = pd.DataFrame(profile_df.age[~age_missing])\n",
    "\n",
    "## Generate the registers' description\n",
    "description_pdstyle = \\\n",
    "    pd.DataFrame(age_df.describe()).style \\\n",
    "    .set_caption('Ages description') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "\n",
    "## Generate box and violin plots\n",
    "fig1 = Figure(figsize=(10,4))\n",
    "axs = fig1.subplots(nrows=1, ncols=2)\n",
    "axs = axs.flatten()\n",
    "axs[0].set_title('Box Plot')\n",
    "age_df.plot.box(ax=axs[0])\n",
    "axs[1].violinplot(age_df.values)\n",
    "axs[1].set_title('Violin Plot')\n",
    "\n",
    "## Generate histograms\n",
    "bins = 84\n",
    "fig2, axs = plt.subplots(nrows=2, ncols=2, figsize=(15, 10))\n",
    "axs = axs.flatten()\n",
    "\n",
    "# Cumulative distribution\n",
    "age_df.hist(bins=bins, ax=axs[0], cumulative=True, density=True)\n",
    "axs[0].set_title('Cumulative distribution')\n",
    "axs[0].set_ylabel('users (%)')\n",
    "axs[0].set_yticklabels((axs[0].get_yticks()*100).round(0))\n",
    "axs[0].set_xscale('linear')\n",
    "axs[0].set_xlabel('years')\n",
    "axs[0].grid(False)\n",
    "\n",
    "# Histogram\n",
    "age_df.hist(bins=bins, ax=axs[1])\n",
    "axs[1].set_title('Density')\n",
    "axs[1].set_ylabel('users')\n",
    "axs[1].set_xscale('linear')\n",
    "axs[1].set_xlabel('years')\n",
    "axs[1].grid(False)\n",
    "\n",
    "# density\n",
    "age_df.plot.density(ax=axs[2])\n",
    "axs[2].legend()\n",
    "axs[2].set_title('Density plot')\n",
    "axs[2].set_ylabel('density')\n",
    "axs[2].grid(False)\n",
    "\n",
    "age_gender_df = profile_df[~age_missing].groupby('gender').age\n",
    "age_gender_df.plot.density(ax=axs[3])\n",
    "axs[3].set_title('Density by gender')\n",
    "axs[3].set_ylabel('density')\n",
    "axs[3].legend()\n",
    "axs[3].grid(False)\n",
    "\n",
    "\n",
    "## Display the information generated above\n",
    "display_html('<center>' \\\n",
    "              + description_pdstyle._repr_html_() \\\n",
    "              + convert_fig_to_html(fig1) \\\n",
    "              + '</center>',\n",
    "             raw=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analyzing the graphs above, we can see that although the age is normally distributed among the population, there is a local peak around the interval 20 ~ 25 for both male and female genders. Apparently, this deviation is not a problem to be handled beforehand. However, this is a point to be taken into consideration if networks have difficulty to converge. Hence, simply standardization for this feature seems to be good enough, as shown in the graphs below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(15,4), nrows=1, ncols=2)\n",
    "\n",
    "age_df.plot.density(ax=axs[0])\n",
    "axs[0].set_title('Original data')\n",
    "axs[0].set_xlabel('Age')\n",
    "\n",
    "data_transformed = robust_scale(age_df)\n",
    "age_df = pd.DataFrame(data_transformed, columns=age_df.columns, index=age_df.index)\n",
    "\n",
    "age_df.plot.density(ax=axs[1])\n",
    "axs[1].set_title('Transformed data')\n",
    "axs[1].set_xlabel('Age (scaled)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore income"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<center><style  type=\"text/css\" >\n",
       "</style><table id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Income description</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >income</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >14825.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >65404.99</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >21598.30</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >30000.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >49000.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >64000.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >80000.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_ff517f36_4b85_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >120000.00</td>\n",
       "            </tr>\n",
       "    </tbody></table><img 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\" 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Select registers with valid income\n",
    "income_df = pd.DataFrame(profile_df.income[~income_isna])\n",
    "\n",
    "## Generate the registers' description\n",
    "description_pdstyle = \\\n",
    "    pd.DataFrame(income_df.describe()).style \\\n",
    "    .set_caption('Income description') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "\n",
    "## Generate box and violin plots\n",
    "fig1 = Figure(figsize=(10,4))\n",
    "axs = fig1.subplots(nrows=1, ncols=2)\n",
    "axs = axs.flatten()\n",
    "axs[0].set_title('Box Plot')\n",
    "income_df.plot.box(ax=axs[0])\n",
    "axs[1].violinplot(income_df.values)\n",
    "axs[1].set_title('Violin Plot')\n",
    "\n",
    "## Generate histograms\n",
    "bins = 19\n",
    "logbins = np.logspace(np.log10(income_df.min().min()),\n",
    "                      np.log10(income_df.max().max()),\n",
    "                      num=bins)\n",
    "fig2, axs = plt.subplots(nrows=3, ncols=2, figsize=(18, 18))\n",
    "axs = axs.flatten()\n",
    "\n",
    "# linear scale\n",
    "income_df.hist(bins=bins, ax=axs[0])\n",
    "axs[0].set_title('Histogram (linear base)')\n",
    "axs[0].set_ylabel('users')\n",
    "axs[0].set_xscale('linear')\n",
    "axs[0].set_xlabel('$\\n(linear scale)')\n",
    "axs[0].grid(False)\n",
    "\n",
    "# log scale\n",
    "income_df.hist(bins=logbins, ax=axs[1])\n",
    "axs[1].set_title('Histogram (log base)')\n",
    "axs[1].set_ylabel('users')\n",
    "axs[1].set_xscale('log')\n",
    "axs[1].set_xlabel('$\\n(log scale)')\n",
    "axs[1].grid(False)\n",
    "\n",
    "# density\n",
    "income_df.plot.density(ax=axs[2])\n",
    "axs[2].set_title('Density plot')\n",
    "axs[2].set_ylabel('density')\n",
    "axs[2].set_xlabel('$')\n",
    "axs[2].grid(False)\n",
    "\n",
    "# Group income by gender\n",
    "income_gender_df = profile_df[~income_isna].groupby('gender')\n",
    "income_gender_df.income.plot.density(ax=axs[3])\n",
    "axs[3].set_title('Density by gender')\n",
    "axs[3].set_ylabel('density')\n",
    "axs[3].legend()\n",
    "axs[3].grid(False)\n",
    "\n",
    "income_gender_df.get_group('F') \\\n",
    "    .income.hist(bins=bins, ax=axs[4], alpha=0.5, label='F')\n",
    "income_gender_df.get_group('F') \\\n",
    "    .plot.scatter(x='age', y='income', ax=axs[5], alpha=0.5, label='F')\n",
    "\n",
    "income_gender_df.get_group('M') \\\n",
    "    .income.hist(bins=bins, ax=axs[4], alpha=0.4, label='M')\n",
    "income_gender_df.get_group('M') \\\n",
    "    .plot.scatter(x='age', y='income', c='orange',\n",
    "                  ax=axs[5], alpha=0.2, label='M')\n",
    "\n",
    "income_gender_df.get_group('O') \\\n",
    "    .income.hist(bins=bins, ax=axs[4], color='green', alpha=0.3, label='O')\n",
    "income_gender_df.get_group('O') \\\n",
    "    .plot.scatter(x='age', y='income', c='lightgreen',\n",
    "                  ax=axs[5], alpha=0.5, label='O')\n",
    "\n",
    "axs[4].set_title('Histogram by gender')\n",
    "axs[4].set_ylabel('users')\n",
    "axs[4].set_xlabel('income')\n",
    "axs[4].legend()\n",
    "axs[4].grid(False)\n",
    "axs[5].set_title('Scatter plot: income by gender')\n",
    "axs[5].legend()\n",
    "axs[5].grid(False)\n",
    "\n",
    "# Display the information generated above\n",
    "display_html('<center>' \\\n",
    "              + description_pdstyle._repr_html_() \\\n",
    "              + convert_fig_to_html(fig1) \\\n",
    "              + '</center>',\n",
    "             raw=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These graphs show us that income is not a well distributed feature.  \n",
    "The density plot is bimodal, including some other local peaks.  \n",
    "Splitting the income by gender, we note that the number of men presenting income below $80,000 is considerably higher than women.  \n",
    "The scatter plot shows us a strong correlation between some ranges of age and income, with well defined steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rVpGRkcGkSZMASEpKIiYmhk8++YQLL7wQgOHDhzNw4MADifWYY44hMTGRXr16kZyczGmnnQbAmDFjyMvLY8+ePXz22WecddZZjB8/niuuuIJt27aF5k2LSEDeWV7AqoIyrjthGLHRX/8KO7pvMr+bMZrP1xfz2Od5QY1l2+59LNq8i+qapibUibSdzpAfg3nHMx/o7/d7P2BrI23yzSwGSAZ2NnNsQ9uLgBQzi/HuejZ0rsacDbzknNtft8E5V/fpVprZv4GfB9iXyEH5ZG0RecV7ufvc8Y2WqU6Kj+XO74zl/Ifm8pf/rOL/Tqm/dPrgrd2xh8seyyWveC9doqP401ljmTG+JZMIJBy15MprsMTFxR14HR0dTXV1Nc65Bv97aGqts38/UVFRB36Pioqiurqa2tpaUlJSWLRIS/hFwsVTczeSkRzPyaO/fmG2zlk5/Xhz6TbueGslxwzrzaAgVIO/9/21/Pk/q3AOxvZL5tFLJtOze5fmD5SwpfzYNoJ5xzMXyPaqzXbBN511dr02s4GLvNdnAu853yc1GzjXq3qbBWQD8xrr0zvmfa8PvD5fCTDO84Bn/Dd4d0Hx1o6eASwNsC+Rg/LU3I2kdu/C9CaSKsDUIWlcMGUAD32ygYWbSto0hl17q/j+o7nsqazmL2eNY3z/FH7x/GLWFJS16XlEAjV8+HC2bt1Kbm4uAGVlZVRXVzNt2jSeeuopAFavXs2mTZsYNmxYQH0mJSWRlZXFc889B/iS9JdffhmcNyAiBy2vqJyP1xRx3uQBxDRwt7OOmfGHb48lNjqK619YTG1t2xbjezZ3M396exWnjs3kd2eMZuW2Mv7vpSVteg6RQIVbfgzawNO783gNvimsK4BnnXPLzOxWMzvda/YwkGpma4HrgBu8Y5cBzwLLgbeAq51zNY316fV1PXCd11eq1zdmNsnM8oGzgPvNrK493uNb+gMf1gv/KTNbAiwB0oDb2uZTEWlcacV+3l9ZyIzxfYmLaf5ZZDeePII+SfHc8MISqqrbbqrPza8sY9vufdx/YQ7fmdiPey84lLiYKO767+o2O4dIS3Tp0oVZs2bxox/9iHHjxnH88cdTUVHBVVddRU1NDWPGjOGcc87h0Ucf/cqV3OY89dRTPPzww4wbN45Ro0bxyiuBXq8Ukfb26pe+iWxn5fRrtm2f5HhuOnkEczfs5Nn5m5ttH6iNxeX86pWlHDkkjbvOHseFhw3k2uOG8ObS7W1+EVgkEOGWH02PZWgbOTk5bv78+aEOQ8LYiwvyue7ZL3nxqqkcOiCwokHvrijg0sfm87Pjh/Kj47IPOobP1xVz3oNzuPa4bK47fuiB7X96eyX//GAdH/3iGPr37HbQ55GOY8WKFYwYMSLUYXRYDX0+ZvaFcy4nRCGFHeVHaQvT//YRCXExPH9lYM81rK11nPfgHJZvK+Xd646md1L8Qcdw6aO5zFlfzHs//wbpXn/lldVM/eN7HDkkjXsvOPSgzyEdh/Jj81qaI4M51VZEWuD1xdvITI5nQv+UgI85bkQ6p47N4B/vrWXtjj0Hdf7qmlpueXUZfVO6cuXRh3xl33mTB+AcvLxwy0GdQ0REpKXWFe5h5fYyThmbEfAxUVHGH749hsrqWn4ze1nzBzTj/VU7eHflDn78zewDg06A7nExfGtCX95ZUcDuffub6EFENPAU6QAq9tfwydoiThjVp9GiQo35zWmj6NolmhtfPLi1LC8syGfl9jL+75QRdO3y1am+/Xp0Y/Kgnry2WFU/RUSkfb23YgcAJ45quv5BfYN7JfDj47J5c+l23lq6vdXnr6l1/OGNFWSldefiqVlf23/GhL5UVdfyzvKCVp9DJBJo4CnSAczdsJPK6lq+Mazlj+XplRjHr04ZQW5eCU/P29Sq8++rquGv76xmwoAUTmqksNE3R/ZmVUEZ23bva9U5pOPSkouG6XMR6Rg+XF3I0PQEMlO6tvjYy6cNZnifRG5+ZWmr70i+8EU+qwv28MsTh9El5utfncf1SyYtIY4PVxe2qn/puJQHGteaz0YDT5EO4MNVhcTFRHHY4NRWHX/mxH4cMSSVP765ku27K1p8/COfbqCgtJIbTxrR6B3XaUN9g+KPVxe1KkbpmOLj4ykuLlZyrcc5R3FxMfHxB78uTERab29VNfM27OTooa17XnpsdBR3fGcsRXsqueOtlS0+fl9VDX95ZxUTBqQ0WnHezJiWncYnawqpaeMquhI6yo+Na22ODOZzPEUkQB+tKWTK4FTiY5uvZtsQM+P33xrDiX/7iF+9vIQHv5cT8JTd4j2V3PfBOo4fmc7krJ6NthuWnkh6Uhwfrink7En9G20n4aVfv37k5+dTWKgr9fXFx8fTr1/zFTRFJHjmrC+mqqaWo4f2bnUf4/qn8P0jsnjokw2cNjaTww8J/CJv3YXZe84/tMm8Om1oL15cuIWlW3YzrgW1GqTjUn5sWmtypAaeIiG2Zdc+1u7Yw3mTBxxUPwNTu/PzE4Zx2+srePiTDVx21OCAjvvDmyvZt7+G66c3/XwnM+OIIWl8uKqw0QcWS/iJjY0lK+vra5ZERDqCD1cV0jU2mpxBgVV7b8x1JwzlvysK+PHMhbx27ZH0Tmz+Tk1+yV7ufX8tJ4xMZ9Kgxi/MAhyZnQbA5+uLNfDsJJQf256m2oqE2Jx1xQAcMaR102z9XXpkFtNH9eEPb67kc6/fpnyypojnv8jnimmDGdI7sdn2OQN7Ulxexaadew86VhHpeMxsupmtMrO1ZnZDA/svNrNCM1vk/VwWijglcsxZv5OcQT1aPSOoTrcuMdz33YmUVuzn6qcWNPv8a+ccv3p5KQC/OX1Us/2nJcQxKLUbCzbqeZ4ijdHAUyTEcvN2ktw1lqEBDPyaY2b86ayxDErtxuVPzGdx/q5G2xaWVfKL578kK6071wb4DNAJA3xXcRfoQdkinY6ZRQP3AicBI4HzzGxkA01nOefGez8PtWuQElF27a1iVUEZU5pYBtISIzKSuOM7Y8nNK+HHMxdSXdP44PPRz/L4YFUhvzhxGH0DLGo0YUAPFmzapTWBIo3QwFMkxObl7SRnYA+iotpm6mpifCyPXzqF5K6xfPehuby/asfX2uzaW8Vlj8+nZG8V/zhvQsBXkoemJ5IQF8OCjY0PaEUkbE0G1jrn1jvnqoCZwIwQxyQRbH6e7yJnTjPTXFtixvi+/OqUEby5dDtXPPEFu/d+vdLtG0u2cdvrK/jmiHQuOnxQwH0fOiCFoj2V5Jeo+rtIQzTwFAmhoj2VrC8sZ1IbXc2t0zelK8/84DAyU7ry/UdzueGFxSzO30VBaQWvLd7K6fd8yoqtpfzjvEMZ3Tc54H6jo4xx/ZN1x1Okc+oLbPb7Pd/bVt93zGyxmT1vZg1WGjOzy81svpnNV2EOaa3cvJ3ERhvj23jN5GVHDebWGaP4cHUhJ//9Y2bO20R+yV7WFJRx66vLuebpBYzvn8Jd54xr0UXhCQN861CVI0UapuJCIiE0P28nQLNFC1qjf89uvHTVEfzp7VU8OWcjM3P/931ycFp3nvrBlFadd2y/FB76eD1V1bUNPs9MRMJWQ9+w688ZfBV4xjlXaWY/BB4Djv3aQc49ADwAkJOTo3mH0iq5eTsZ2y/loNd3NuR7hw9iVGYyv5m9lBteXHJguxmcO2kAN586kq5dWnbe4X0S6RITxdItu5kxvqFrNiKRTQNPkRCat6GEuJgoxrTgrmNLdO0Szc2njeSqYw7hs3XF7N5bxSG9EpiU1ZPY6NYNGkdmJLG/xrFmRxmjMoMTt4iERD7gfwezH7DVv4Fzzr9q2YPAHe0Ql0Sgiv01LNmym+8fGbyqohMH9uDVa45kcf5ulm7dTWx0FIcPTqV/z26t6i8mOoph6Yks31baxpGKdA4aeIqE0PyNOxnfPyXodw7TEuI4fVxmm/Q1MjMJgOVbSzXwFOlccoFsM8sCtgDnAuf7NzCzDOfcNu/X04EV7RuiRIqFm3axv8YxOQgzgvyZGeP6p7TZI1BGZiTxn+Xb9dgxkQZonpxIiJRXVrNsaymT23h9Z7ANSu1O19hoXdEV6WScc9XANcDb+AaUzzrnlpnZrWZ2utfsWjNbZmZfAtcCF4cmWunscvN2YuZ7jFc4GZmZRMne/RSUVoY6FJEOR3c8RUJkwaYSampdUNZ3BlN0lDGsTyIrNPAU6XScc28Ab9TbdrPf6xuBG9s7Lok8uXk7GZaeSHK32FCH0iIHZgVt202f5PgQRyPSseiOp0iI5G7YSZT979mY4WRkZhLLt5bqWWUiItLmqmtqWbCxhJxBPUIdSosN7+N7JveKbWUhjkSk49HAUyRE5uXtZGRmEonx4XU1F3xrWEorqtmyS88qExGRtrViWxnlVTVhNyMIfM/SHtCzG8u3alaQSH0aeIqEQFV1LYs27wrLpAowIsM3lUhXdEVEpK3N8x41Fm41EOqMyNByFJGGaOApEgJLt+6mYn9t0Kv1BUt2egIAa3Zo4CkiIm1rft5O+vXoSkZy11CH0irD0hPJKy6nsrom1KGIdChBHXia2XQzW2Vma83shgb2x5nZLG//XDMb5LfvRm/7KjM7sbk+zSzL62ON12cXb/s0M1tgZtVmdma989eY2SLvZ3ZzfYm0ldwNvqu5OWE68EyKj6VPUjxrC/aEOhQREelEnHPk5u0M2xlBAEPSE6l1sKGoPNShiHQoQRt4mlk0cC9wEjASOM/MRtZrdilQ4pwbAtyF9yBqr925wChgOvBPM4tups87gLucc9lAidc3wCZ85d6fbiDMfc658d7P6X7bG+tLpE3k5u0kK607vRLjQh1Kq2WnJ7BmhwaeIiLSdjYUlVO0pyqsB57Zvb1ZQbo4K/IVwbzjORlY65xb75yrAmYCM+q1mQE85r1+HjjOfE/bnQHMdM5VOuc2AGu9/hrs0zvmWK8PvD7PAHDO5TnnFgO1gQTdVF8ibaG21pGbVxK202zrDOmdwNode6itVWVbERFpG7lhvr4TICutO1GGLs6K1BPMgWdfYLPf7/netgbbeA+u3g2kNnFsY9tTgV1eH42dqyHxZjbfzOaYWd3gMuC+zOxy7/j5hYWFAZxOBFbvKGP3vv1MCuOkCpDdO5F9+2tU2VZERNrM3A07Se3ehUN6dQ91KK0WHxvNwNTurFUdBJGvCObA0xrYVv/WSGNt2mp7cwY453KA84G/mdkhLenLOfeAcy7HOZfTq1evAE4nAvO89Z1Twn3g6RUYWqsruiIi0kbmbfCt7/RNQAtfQ3onaKqtSD3BHHjmA/39fu8HbG2sjZnFAMnAziaObWx7EZDi9dHYub7GObfV+3c98AEwobV9iQRq3oadZCTH069HeFbrqzOklyrbiohI29m6ax/5JfvCepptnezeCWwoKmd/TUArvUQiQjAHnrlAtlchtgu+YkGz67WZDVzkvT4TeM8557zt53pVb7OAbGBeY316x7zv9YHX5ytNBWdmPcwsznudBhwBLG9NXyKBcs51mqu5Pbp3IS0hTld0RUSkTXSG9Z11stMTqK51bCxWZVuROkEbeHprJK8B3gZWAM8655aZ2a1mVldB9mEg1czWAtcBN3jHLgOeBZYDbwFXO+dqGuvT6+t64Dqvr1Svb8xskpnlA2cB95tZXfsRwHwz+xLfQPOPzrnlTfUlcrA27dzLjrLKTpFUwXdFV8UTRESkLczbsJOEuBhGZCSFOpSDlt07EVBlWxF/Mc03aT3n3BvAG/W23ez3ugLfgLChY28Hbg+kT2/7enxVb+tvz8U3Xbb+9s+AMY2cu8G+RA7W3E6yvrNOdnoCLy7YgnMu7O/giohIaM3bsJOcQT2Ijgr/fHJIrwTMq2x7UqiDEekggjnVVkTqmbdhJz26xTLEe8ZXuMvuncCeymq2l1aEOhQREQljO8urWLNjT1g/v9Nf1y7R9OvRVbOCRPxo4CnSTpxzfL6umMlZ4b++s052um8q0WpNJRIRkYMwZ30xAIcN7hwDT/BNt11ToAJ8InU08BRpJxuKytmyax9HZXeeR+9k99YjVURE5OB9tLqQxLgYxvVLCXUobSa7dwLri8qpVmVbEUADT5F28/GaIgCmdaKBZ2pCHDxt8QoAACAASURBVD27d9FDskVEpNWcc3y8poipQ1KJie48X02H9E6gqrqWzSX7Qh2KSIfQef7rFungPl5TyMDUbgxI7RbqUNrUkN4JmmorIiKttt6bETRtaOe5MAv+y1F0cVYENPAUaRdV1bV8vq6Yo7LTQh1Km8vuncCagjJ8j8AVERFpmY9XFwKda0YQcKCQoJajiPho4CnSDuZuKKa8qqbTJVWAoemJlFZUU1hWGepQREQkDL27cgdZad3p37NzzQhKiIuhb0pXFRgS8WjgKdIO3ly6nW5dojvdNCL4X4EhlYwXEZGW2rW3is/XFXPiqD6hDiUotBxF5H808BQJsppax3+WbeeY4b2Jj40OdThtbki6N/DUFV0REWmhd5YXUF3rOGl05xx4ZvdOYF3hHmpqtRxFRANPkSDLzdtJ0Z6qTptUeyXEkdw1ltW64ykiIi305tLt9E3pyth+yaEOJSiGpidSWV1LfsneUIciEnIaeIoE2atfbiUuJopjhvUOdShBYWZk905graYSiYhIC5SUV/HJmiJOHNUHMwt1OEHxv1lBypEiGniKBNHeqmpeWbSVU8Zk0D0uJtThBE12eiKrd6iyrYiIBO6FBflU1dRyVk6/UIcSNHWVbVfredcidN5vwiKttHTLbh74aD2rC8pIS4jj6KG9OHtSf5K7xra4r1e/3MqeymrOmzIgCJF2HNm9E3hm736Ky6tIS4gLdTgiIhIE+2tqeeLzjby5dBv79tcwND2R7xzaj6mHpLb4jqVzjpm5mxnfP4URGUlBijj0kuJj6ZMUr1lBIuiOp8hXzP5yK2fc+ykfrSkkM6UrxeVV3P7GCo7+0/s8OWdji+7o1dQ6HvhoPcP7JJIzsEcQow69bG8qkR6SLSLSOVXsr+F7D8/j1teWU7G/ltTucby7YgcXPDSX7z48lw1F5S3q790VO1i7Yw8XHjYwSBF3HNnpCar8LoLueIocsHxrKT97dhGHDuzBgxfmkNzNd4dz6Zbd/P6NFfzq5aW8u6KAO88cR6/E5u/qvb5kG+sKy7nn/Amddu1KnezeiYDvIdlTD0kLcTQi0lpmNh24G4gGHnLO/bGRdmcCzwGTnHPz2zFECZGbX1nKnA3F/OnMsZyV0x+Ayuoanp67ibveWc0pf/+Y35w2krNz+jeb85xz3P3uGgb07MaM8ZntEX5IZfdO5Jl5m6itdURFde7vAyJN0R1PEXxJ8P9eXkJy1y7c/92JBwadAKP7JvPUZVO45fRRfLqumJPu/ogPVxc22V9ZxX7+8MYKhvdJ5OTRGcEOP+TSk+JIjI9R8QSRMGZm0cC9wEnASOA8MxvZQLtE4FpgbvtGKKGSm7eTZ+fn88OjDzkw6ASIi4nmkiOyePun0xjXL4XrX1jC1U8vYPfe/U32NzN3M0u27Oba47KJie78X0Wz0xPYt7+GLbv2hToUkZDq/P+1iwTgg9WFLNy0i5+dMJQe3bt8bb+ZcdHUQbx6zZGkdo/jokfmcfvry6mqrv1aW+ccv355KdtLK/jDt8dExNXNusq2a1Q8QSScTQbWOufWO+eqgJnAjAba/Q64E6hoz+AkdO56ZzW9EuO49tjsBvdnJHflqcumcMNJw/nPsgJO/vvHzM/b2WDbtTvK+P3rKzh8cCrfObRvMMPuMIbWVbZVjpQIp4GnCPD03E2kJcRx5sSmK+sN65PIK9ccwYWHDeTBjzdw+j2f8OHqwgNrP/dV1XDTS0t5edFWrvvmUCYM6NxrO/1l907UHU+R8NYX2Oz3e7637QAzmwD0d8691lRHZna5mc03s/mFhU3PEJGObX3hHj5bV8zFUwfRtUt0o+2ioowfHn0Iz185lego4+z7P+e3s5dRWFZ5oM3i/F1c+PA84mKjufPMsZ1+GUqdIb18y1GUIyXSaY2nRLwdZRW8t3IHlx2ZRWwAU37iY6P53RmjOSo7jVtfW85Fj8wjMzmezJSurC4oo7Simiu/cQjXHDukHaLvOLLTE5g1fzPFeypJVWVbkXDU0CjgQEU1M4sC7gIubq4j59wDwAMAOTk5es5SGHv+i3yijGYvzNYZ3z+F1689kj+8uZIn5mzkiTkbGZWZxP4ax4ptpfRJiufx70+mf89uQY6840juFkvvxDhWa+ApES6odzzNbLqZrTKztWZ2QwP748xslrd/rpkN8tt3o7d9lZmd2FyfZpbl9bHG67OLt32amS0ws2qvGEJd+/Fm9rmZLTOzxWZ2jt++R81sg5kt8n7Gt/2nIx3F64u3UVPrWvwcsRNG9eHdnx3Nn88ax4QBPYiKMk4ancFzPzyc66cPj5gruXWy0/9XYEhEwlI+0N/v937AVr/fE4HRwAdmlgccBsw2s5x2i1DalXOOlxdu4eihvUhPig/4uMT4WH7/rTG889NpXDFtMMldY+mVGMcvThzG2z+ZxsjMzvv4lMZkpyewVlNtJcIF7Y6nX5GC4/Els1wzm+2cW+7X7FKgxDk3xMzOBe4AzvGKGZwLjAIygf+a2VDvmMb6vAO4yzk308z+5fV9H7AJ39XZn9cLcS/wPefcGjPLBL4ws7edc7u8/b9wzj3fdp+IdFQfrCpkcK/uDPEqs7ZEXEw0Z07sF/CV4M4s+8BDsvcwZXBqiKMRkVbIBbLNLAvYgi8Pn1+30zm3GzhQttrMPgB+rqq2ndfqgj1s3V3Btcc1vLazOYN7JfDL6cPbOKrwlN07kWfnb1ZlW4lowbzjGUiRghnAY97r54HjzHebaAYw0zlX6ZzbAKz1+muwT++YY70+8Po8A8A5l+ecWwx8pQqMc261c26N93orsAPo1XZvX8JBxf4a5qwv5htDe4c6lLCXkRxPUnwMK7eVhjoUEWkF51w1cA3wNrACeNY5t8zMbjWz00MbnYTCh6t3AHD0MH09OljD+ySyt6qGzSV7Qx2KSMgEc+DZbJEC/zZewtsNpDZxbGPbU4FdXh+NnatRZjYZ6AKs89t8uzcF9y4za3DBmoonhL8564uprK5VUm0DZsbIzCSWbtXAUyRcOefecM4Ndc4d4py73dt2s3NudgNtv6G7nZ3bB6sKGZaeSEZy11CHEvZGZSYDsHSLcqRErmAOPJssUtBMm7ba3iwzywCeAC5xztXdFb0RGA5MAnoC1zd0rHPuAedcjnMup1cvDVzC0efri+kSHcWUrJ6hDqVTGJWZzMptpVTXfP0xMyIiEj6qqmuZv7GEI7PTmm8szRraJ4GYKGPZ1t2hDkUkZII58GyuSMFX2phZDJAM7Gzi2Ma2FwEpXh+NnetrzCwJeB34lXNuTt1259w251MJ/BvfFF/phBZu2sXIzCTiYxsvES+BG903icrqWtYXlYc6FBEROQjLt5VSVV3LxIGR81iwYIqLiSY7PZFlmhUkESyYA88DRQq8CrPnAvWn6swGLvJenwm853wPRJwNnOtVvc0CsoF5jfXpHfO+1wden680FZx3/EvA48655+rty/D+NXxrRZe2+N1Lh1ddU8vi/F1MGJAS6lA6jf9NJdIVXRGRcLZwUwmAcmQbGpWZxLKtuw88+1sk0gRt4BlgkYKHgVQzWwtcB9zgHbsMeBZYDrwFXO2cq2msT6+v64HrvL5Svb4xs0lmlg+cBdxvZnXtzwamARc38NiUp8xsCbAEXwW/29r8A5KQW7m9jIr9tUwYoKu5bWVwWnfiYqJ0RVdEJMwt3LSLPknxWt/ZhkZlJlG0p4odZZWhDkUkJIL2OBXwFSkA3qi37Wa/1xX4BoQNHXs7cHsgfXrb19PAlFjnXC6+qbf1tz8JPNnIuY9taLt0Lgs3+56cM6G/rua2lZjoKIZnJGkNi4hImFu4uUR3O9tY3aygZVt3t+i5qCKdRTCn2op0aMu37qZHt1j69dDV3LY0OjOJZVtLNZVIRCRM7d63n8079zGmX3KoQ+lURmYmAapsK5FLA0+JWCu3lzGsTyK+pbzSVkZlJlNWUc2mnXpWmYhIOFpdUAb4nj0pbSchLoastO6qgyARSwNPiUi1tY7V28sY3icp1KF0OmO9K+SLvKnMIiISXlZu9w08hylHtrmx/ZJZtHmXZgVJRNLAUyJSfsk+yqtqGKaruW1ueJ9EuneJ5ouNJaEORUREWmHV9lIS42PITNY6xLaWM7AHO8oqyS/ZF+pQRNqdBp4SkVZu962v0MCz7cVERzF+QArz8zTwFBEJR6u2lzFcS1GC4lDvuagLNilHSuTRwFMi0ipvGtHQdA08g2HigB6s3F7KnsrqUIciIiIt4Jw7UANB2t6wdM0KksilgadEpPVF5WQmx5MQF9QnCkWsiYN6Uutg0Sat8xQRCSdFe6ooq6hmSK+EUIfSKcVERzFhQA/NCpKIpIGnRKQNReUMSuse6jA6rQkDUjCD+Rt3hjoUERFpgbzicgDlyCA6dKBmBUlk0sBTIlJecTkDU5VUgyUpPpaRGUl8vq441KGIiEgLbCjyBp7KkUFzWJZvVtC8DcqRElk08JSIs2tvFbv27icrrVuoQ+nUjsruxRcbS3RFV0QkjGwsLicmyujXo2uoQ+m0Jg7qQXxsFB+tLgp1KCLtSgNPiTh5xXsBXc0NtmnZaVTXOuborqeISNjIK9pL/57diInWV8RgiYuJ5rDBqXy0pjDUoYi0K/1VkYiT500jytL6laCaOKgHXWOjlVhFRMLIhqJyBqZqRlCwHZXdi/WF5eSX7A11KCLtRgNPiTh5xeWYQf+eSqzB5Lui25OPVmvgKSISDpxzbCwu14ygdnD00DQATbeViKKBp0ScvKJyMpO7Eh8bHepQOr1jhvcmr3jvgeemiohIx1W4p5LyqhoG6Y5n0B3SK4H+Pbvy9rLtoQ5FpN1o4CkRZ0PxXgapsFC7OGl0BlEGry3eGupQRESkGXlFXg0ELUUJOjPjlDGZfLq2iJLyqlCHI9IuNPCUiLNRj1JpN70S4zhscCqvLd6Gcy7U4YiISBMOPMNTObJdnDo2g+pax1u66ykRQgNPiSjlldXs2rtfZeLb0WnjMtlQVM6yraWhDkVERJqwpWQfZpCZohzZHkZlJjE4rTuzF2lWkEQGDTwlomzZtQ+Avkqq7eak0X3oEhPFrNzNoQ5FRESasGXXPnonxtElRl8P24OZMWN8X+ZsKGajd7dZpDML6C+Lmb1gZqeYWYv+EpnZdDNbZWZrzeyGBvbHmdksb/9cMxvkt+9Gb/sqMzuxuT7NLMvrY43XZxdv+zQzW2Bm1WZ2Zr3zX+S1X2NmF/ltn2hmS7xz/N3MrCXvWzquLSW+gafueLaflG5dOHVsBi8uyKesYn+owxGJCK3N2xLZtpTs04XZdnbu5P5Em/HknI2hDkUk6AJNSPcB5wNrzOyPZja8uQPMLBq4FzgJGAmcZ2Yj6zW7FChxzg0B7gLu8I4dCZwLjAKmA/80s+hm+rwDuMs5lw2UeH0DbAIuBp6uF19P4DfAFGAy8Bsz6+H3fi8Hsr2f6c29XwkP/7vjqeJC7emiwwdRXlXDzHm66ynSTlqct0W27t5H3x7Kj+0pPSmeE0f3YVbuZkp1cVY6uYAGns65/zrnLgAOBfKAd8zsMzO7xMxiGzlsMrDWObfeOVcFzARm1GszA3jMe/08cJx3d3EGMNM5V+mc2wCs9fprsE/vmGO9PvD6PMOLPc85txiorXfuE4F3nHM7nXMlwDvAdDPLAJKcc587XzWUx+v6kvC3Zdc+YqKMXolxoQ4loozrn8IRQ1K5/6N17K2qDnU4Ip1eK/O2RLDaWse2XRVkpsSHOpSIc+XRh1BaUc2/P8kLdSgiQRXwFBwzS8V35/AyYCFwN76E9k4jh/QF/G9v5HvbGmzjnKsGdgOpTRzb2PZUYJfXR2PnCjS+vt7rpuKWMLWlZB8ZKfFER2n2dHv76TeHUrSnigc/2hDqUEQiQivytkSwwj2VVNXU0k9Tbdvd6L7JnDgqnYc+Xs+O0opQhyMSNIGu8XwR+BjoBpzmnDvdOTfLOfcjIKGxwxrYVv95Co21aavtTTnovszscjObb2bzCwsLmzmddARbdmn9SqjkDOrJKWMzuPeDtawv3BPqcEQ6tVbm7UBqM/zQq4GwyMw+aWAJjYSpfK8GQl/VQAiJG04aQWVNLbe8tjzUoYgETaB3PB9yzo10zv3BObcNfIWBAJxzOY0ckw/09/u9H1C/XvSBNmYWAyQDO5s4trHtRUCK10dj5wo0vnzvdVNxA+Cce8A5l+Ocy+nVq1czp5OOYOuufVrfGUK/OXUk8TFRXDtzIRX7a0Idjkhn1uK8HWBthqedc2Occ+OBO4G/Bu0dSLvaqhoIIZWV1p0fHTOE1xdv49n5qocgnVOgA8/bGtj2eTPH5ALZXrXZLviKBc2u12Y2UFdN9kzgPW9d5WzgXK/qbRa+Aj/zGuvTO+Z9rw+8Pl9pJr63gRPMrIdXVOgE4G0vQZeZ2WHe2tHvBdCXhIH9NbUUlFbQV+tXQqZ3Ujx/OXs8S7eU8tNZi9hfU3/ptYi0kdbk7WZrMzjn/B/I253mZxdJmKgrvqc1nqFz5TcOYeohqfzq5aV8sqYo1OGItLkmB55m1sfMJgJdzWyCmR3q/XwD3/SdRnnrLa/BN8BbATzrnFtmZrea2eles4eBVDNbC1wH3OAduwx4FlgOvAVc7ZyraaxPr6/rgeu8vlK9vjGzSWaWD5wF3G9my7xz7AR+h28wmwvc6m0DuBJ4CF9Ro3XAm029VwkP23dXUOs0jSjUjh+Zzq9PHcmbS7dzzdMLKK9UsSGRtnIweZvAajNgZleb2Tp8dzyvbSQOLUUJM1tK9pEUH0NivGpPhUpMdBT3nH8og9O6c+ljubyzvCDUIYm0qZhm9p+IrzBBP746naYMuKm5zp1zbwBv1Nt2s9/rCnwDwoaOvR24PZA+ve3r8V2trb89l69OnfXf9wjwSAPb5wOjGzpGwteB9SuaRhRylx6ZRZTB715bzox7P+UvZ41jXP+UUIcl0hkcTN4OqMaBc+5e4F4zOx/4Ff+bueTf5gHgAYCcnBzdFQ0DW3bpUSodQc/uXXjqsilc/O9cfvD4fC47MovrThhKty7NfWUX6fia/H+xc+4x4DEz+45z7oV2ikkkKLaX+gaeGZpG1CFcckQWw9IT+cmsRZzxz0+5YMoAfnHicJK76mq7SGsdZN4OpDaDv5n4nhcqncC23RVkJis/dgSpCXE898PDue315Tz0yQbeXLqd35w2khNG9Ql1aCIHpbmptt/1Xg4ys+vq/7RDfCJtpqC0EvA9rFk6hqlD0vjvz47mosMH8fTcTRz3lw94aWE+vmXbItJSB5m3m63NYGbZfr+eAqxps+AlpHaUVpCugWeHER8bzW1njOHZKw6ne1w0lz/xBZc9lsvmnXtDHZpIqzVXXKi7928CkNjAj0jYKCitICEuhoQ4TVfpSJLiY/nt6aOYfc2R9OvRjZ/O+pLzHpxzoNCFiLRIq/N2gLUZrjGzZWa2CF9thq9Ns5XwU1VdS3F5FemJGnh2NJOzevL6tUdx08nD+WxdMcff9SEPfbye2lpdoJXw09xU2/u9f29pn3BEgmdHaSW9k+JCHYY0YnTfZF68ciozczfz+zdWcPLdH/OXs8bxzZHpoQ5NJGwcbN4OoDbDjw8qQOmQCvfUzQhSjuyIYqOjuHzaIZw6NpObX1nGba+v4PN1xfz5rHH06N4l1OGJBCygx6mY2Z1mlmRmsWb2rpkV+U3nEQkLBaUVuprbwUVFGedPGcBrPzqSfj26ctnj87nnvTWaeivSQsrb0hIFpRWAlqJ0dJkpXXnwexO55fRRfLymiNPv/YR1hXtCHZZIwAJ9jucJ3rO7TsVXfGAo8IugRSUSBAVlFbqaGyYGpXXnhSuncsb4TP78n9Xc9NISqvXMT5GWUN6WgO3wBp6aFdTxmRkXTR3Esz88nL2VNXznvs/IzdvZ/IEiHUCgA8+6MpMnA8/4Pe9SJCw45ygordTV3DASHxvNXeeM5+pjDuGZeZu57PH57NEzP0UCpbwtAVPxvfAzvn8KL111BD27deGCh+by2uKmClCLdAyBDjxfNbOVQA7wrpn1AiqCF5ZI29q1dz9V1bX0VlINK2bGL04czu+/NYaP1xRxzv2fH5gSJiJNUt6WgG0vrSAmyujZTesFw8mA1G68cOVUxvZN5pqnF/KvD9dpaYp0aAENPJ1zNwCHAznOuf1AOTAjmIGJtKWCsrr1K5pGFI7OnzKAhy7KYUNROWfc+ykrt5eGOiSRDk15W1qioLSC3olxREVZqEORFurRvQtPXjaFU8Zk8Mc3V/Krl5dqaYp0WIHe8QQYAZxjZt8DzgROCE5IIm1P04jC3zHDevPsFYdT6xxn3vc5764oCHVIIh2d8rYExFf1XfkxXMXHRvOP8yZwxdGDeWruJi59bD679laFOiyRrwm0qu0TwJ+BI4FJ3k9OEOMSaVN10zP7KLGGtdF9k3npqiMY0LMblz42n9tfX05Vta7sitSnvC0tUVBaofwY5qKijBtPGsHt3xrNZ+uKOPnuj/lio5Z2S8fS5HM8/eQAI50mjkuYqqvY1ytRU23DXWZKV168aiq3v76CBz/ewLy8Ev5x7gQGpHYLdWgiHYnytgSsoLSCqYekhjoMaQMXTBnIGG/N59n3z+FnJwzlh9MO0TRq6RACnWq7FOgTzEBEgqmgtJKUbrHEx0aHOhRpA/Gx0fzujNHcd8GhrC/cwyl//5hXv1RFPxE/ytsSkH1VNZRWVGuqbScytl8Kr117JNNH9+HOt1bxvUfmsaNMtcUk9AIdeKYBy83sbTObXfcTzMBE2lJBaQXpiUqqnc1JYzJ449qjGJKewI+eWchNLy1hv4oqiIDytgRox4Hie8qRnUlSfCz3nDeBP357DPM37uTkuz9mzvriUIclES7Qqba/DWYQIsFWUFapB2N3Uv17duPZKw7nL/9Zzb8+XMeO0gruOf9Q3d2WSPfbUAcg4eF/xfeUIzsbM+PcyQM4dGAPrnzyC773yDzuPf9Qjh+ZHurQJEIF+jiVD4E8INZ7nQssCGJcIm1qR2mFruZ2YrHRUdxw0nB+d8Zo3l25g58/96WeZSYRTXlbAlVXfE85svMamp7I8z+cyoiMJK5+agG5eSo6JKERaFXbHwDPA/d7m/oCLwcrKJG2VFvr2FFWqau5EeDCwwZy/fThvLZ4G/94b22owxEJGeVtCdSBgaeWo3RqPbp34bFLJtG3R1eueOILtuzaF+qQJAIFusbzauAIoBTAObcG6B2soETaUlF5JTW1TldzI8QV0wbzrQl9+dt/V/Pl5l2hDkckVJS3JSAFpRXExUSR1DXQ1VcSrlK6deHhi3Ko3F/DL5/XzCBpf4EOPCudcweeRGtmMYD+3yphYYe3fqW3ruZGBDPjt6ePondiPNe/sJiaWv2pkoikvC0BKSitJD0pHjM9biMSDO6VwE2njODTtcU890V+qMORCBPowPNDM7sJ6GpmxwPPAa82d5CZTTezVWa21sxuaGB/nJnN8vbPNbNBfvtu9LavMrMTm+vTzLK8PtZ4fXZp6hxmdoGZLfL7qTWz8d6+D7xz1O3TVeIwVjeNqE+yBp6RIrlrLL8+dSQrt5fx/BebQx2OSCi0Km9L5CkoraCPZgRFlPMnD2B8/xT+8p9V7K2qDnU4EkECHXjeABQCS4ArgDeAXzV1gJlFA/cCJwEjgfPMbGS9ZpcCJc65IcBdwB3esSOBc4FRwHTgn2YW3UyfdwB3OeeygRKv70bP4Zx7yjk33jk3HrgQyHPOLfKL7YK6/c65HQF+TtIBqWJfZDp5TB8mDuzBXe+soapaj1iRiNPivC2RaYeqvkccM+PXp46goLSSJz7fGOpwJIIEWtW2Fl9Rgqucc2c65x50zU8Mnwysdc6t96b7zARm1GszA3jMe/08cJz55nrMAGY65yqdcxuAtV5/DfbpHXOs1wden2c0cw5/5wHPNP9JSDgqKK3ADNISlFgjiZlx7XHZbC+t4JVFW0Idjki7amXelgjjnPM951p3PCPOxIE9OXJIGo98uoHK6ppQhyMRosmBp/n81syKgJXAKjMrNLObA+i7L+A/xy3f29ZgG+dcNbAbSG3i2Ma2pwK7vD7qn6uxc/g7h68PPP/tTbP9dQMDVQDM7HIzm29m8wsLCxtqIh3AjrIKUrvHERsd6A1+6SymZacxvE8iD3y0nlqt9ZQIcJB5WyLMnspq9lbVaEZQhLp82mAKSit5ZdHWUIciEaK5b+I/wVcVb5JzLtU51xOYAhxhZj9t5tiGBmv1v/k11qattjcbh5lNAfY655b67b/AOTcGOMr7ubCBPnDOPeCcy3HO5fTq1auhJtIB+AonKKlGIjPjiqMHs2bHHj5ZWxTqcETaw8HkbYkw/1uKojuekeio7DRGZCTxyCcbVOFW2kVzA8/vAed5010BcM6tB77r7WtKPtDf7/d+QP1LKgfaeBX3koGdTRzb2PYiIMXro/65GjtHnXOpd7fTObfF+7cMeBrfFF8JU5pGFNlOHpNBSrdYZs1XkSGJCAeTtyXC7PCK76nqe2QyMy6YMoCV28tYsmV3qMORCNDcwDPWOfe12wTOuUIgtpljc4Fsr9psF3wDvNn12swGLvJenwm8561BmQ2c61WkzQKygXmN9ekd877XB16frzRzDswsCjgL31pRvG0xZpbmvY4FTgX874ZKmNEdz8gWFxPNGeP78s6yAkrKq5o/QCS8HUzelghTUOYbeCpHRq7TxmUSFxPFrFxdnJXga27g2dS3tCa/wXnrKa8B3gZWAM8655aZ2a1mdrrX7GEg1czWAtfhq8KHc24Z8CywHHgLuNo5V9NYn15f1wPXeX2len03eg7PNCDfuxpcJw5428wWA4uALcCDTb1X6bj219RSXF6pq7kR7uyc/lTV1PKyigxJ59fqvC2Rp26qbW/NCopYyV1jOXlMBrMXHquzygAAIABJREFUbWVflYoMSXDFNLN/nJmVNrDdgGb/Sjnn3sBXwt1/281+ryvw3XFs6NjbgdsD6dPbvp4GpsQ2c44PgMPqbSsHJjbUXsJPYVklzmn9SqQbmZnEyIwkZn+5lUuOyAp1OCLBdFB5WyLL9t0VJMTFkBDX3NdB6czOnNiPlxZu4YNVOzhpTEaow5FOrMk7ns65aOdcUgM/ic45TdmRDq/AW7/SJ1nTiCLdKWMzWLhpF1t37Qt1KCJBo7wtLbGjrELTbIUpWT3p2b0Lry/ZFupQpJPT8yWkUzswjUhTbSPeKd5V3DeUWEVEgLoaCMqPkS4mOooTR/Xh/9u79/i46jr/469PJremaZI2TdNrmrb0QkoLhVLLrSJgW1DBC2gRFRVlddXFRVfg52/5ua64i+yurrsKoqKIIlRgl6JAAbkJlF4ovd/vTdukTdukadMmTfL9/THf1Gk6k6bJTM7M5P18PObRme8553s+53Qm3/M553u+5+V1e9XdVhJKiaektb0nBk5Qw9rblQ/sS8WQAp3RFRHxNOq7tPnApCE0NLXw6vq9QYciaUyJp6S16kPHCGUYxX2zgw5FkoC624p0zMxmm9l6M9tkZndGmX67ma0xsxVm9mczGxlEnNJ9zjn2HmpkkLraCjB9tLrbSuIp8ZS0Vn2okUH9csjIsKBDkSRwje9u+/yqqoAjEUk+ZhYCfgJcDVQAN5pZRbvZ3gWmOucmA08AP+jZKCVeahuO09TSSqluRRHautuW8vK6vRw7ru62khhKPCWtVR86pmHi5YRRA/syrjSfF9Yo8RSJYhqwyTm3xTnXRPgZ19dFzuCce8U51+A/vg0M7+EYJU6qdSuKtDNz4mAamlp4a/MpjwIWiQslnpLW9h5qpLSfuhHJX82aOJhFWw9w4IgeaSjSzjAg8inylb4slluA56JNMLNbzWyJmS3Zt29fHEOUeGkbfE+j2kqbi8cUk5+TyfxV1UGHImlKiaektep6DZwgJ5s1cTCtDl5aq4ZVpJ1o9yS4qDOafQqYCtwXbbpz7kHn3FTn3NSSkpI4hijx0va4MbWR0iYnM8T7JgzipbXVtLRG/emLdIsST0lbx463UNtwXGdz5SQThxYwrKgPL6xW4inSTiUwIuLzcGB3+5nM7Crg28C1zrnGHopN4qy6Lpx4lqhXkESYWVHK/iNNvLP9YNChSBpS4ilpa2/bMzx1NlcimBnvryjlLxv30dDUHHQ4IslkMTDWzEaZWTYwB5gXOYOZTQF+Rjjp1HMXUlh1/TGK8rLIzQoFHYokkcvHl5AdymD+ao2FIPGnxFPSVpXvRjRYiae0M3NiKY3Nrby+QfeeibRxzjUDXwXmA2uBuc651Wb2XTO71s92H5AP/MHMlpnZvBjVSZKrqmtU+yin6JebxSVnFfPCmiqcU3dbia/MoAMQSRTdvyKxTCsfQP+8LOavrmb2OUOCDkckaTjnngWebVd2d8T7q3o8KEmIvfUa9V2imzlxMK88tZK1e+qpGFoQdDiSRnTFU9JWta54SgyZoQyuPLuUP6+t5nhLa9DhiIj0uKq6YwzWGAgSxVVnl2KGuttK3CnxlLRVfegYuVkZFPTRhX051cyKUg4da2bhlgNBhyIi0qOaW1qpOayuthJdSb8cpo7szwtrNAifxJcST0lbVYcaKS3IxSzaEwKkt5sxroQ+WSGd0RWRXqfmcBOtToPvSWwzKwazds8hdh5oCDoUSSNKPCVtVdfpGZ4SW25WiPeOK+HFNdW06nllItKLaPA9OZ1ZEwcD6m4r8aXEU9JWdb0ST+nYzImlVB06xopddUGHIiLSYzT4npxOWXEeEwb30zOvJa6UeEpacs5p4AQ5rSsnlJKZYTqjKyK9yonEs1BtpMQ2a+JgFm8/QM3hxqBDkTShxFPS0qGjzTQ2t+psrnSoMC+L6aOLeUGJp4j0ItWHjhHKMAb2VeIpsc2cWIpz8Oe1uuop8ZHQxNPMZpvZejPbZGZ3RpmeY2aP++kLzaw8Ytpdvny9mc06XZ1mNsrXsdHXmd3ROsys3MyO+gdgLzOzByLqusDMVvplfmwanSblVKkbkXTSzImlbN53hE17DwcdiohIj6iqa2RQvxwyMnR4I7FVDClgeP8+zFd3W4mThCWeZhYCfgJcDVQAN5pZRbvZbgEOOufOAn4I3OuXrQDmABOB2cBPzSx0mjrvBX7onBsLHPR1x1yHt9k5d55/fSmi/H7gVmCsf83u3t6QnnbiGZ6FSjylY++vKAXghTW66ikivcNejYEgnWBmzJo4mDc21XC4sTnocCQNJPKK5zRgk3Nui3OuCXgMuK7dPNcBD/v3TwBX+quL1wGPOecanXNbgU2+vqh1+mWu8HXg6/zwadYRlZkNAQqccwuccw74TURdkiJOXPHsp4ZVOjaksA/nDi/UGV0R6TWq6o5RqjEQpBNmVpTS1NzKa+v3BR2KpIFEJp7DgJ0Rnyt9WdR5nHPNQB1Q3MGyscqLgVpfR/t1xVoHwCgze9fMXjOzyyLmrzxN3ACY2a1mtsTMluzbpx9kMqmuCyeeg9SwSifMnDiY5TtrqfLfGxGRdFZ16JgepSKdMrV8AMV9szUIn8RFIhPPaFcV2z8sL9Y88SrvaB17gDLn3BTgduBRMyvoZNzhQucedM5Ndc5NLSkpiTaLBKS6/hhFeVnkZoWCDkVSQNvzytTdVkTSXUNTM/XHmhmkxFM6IZRhXHV2Ka+s20tjc0vQ4UiKS2TiWQmMiPg8HNgdax4zywQKgQMdLBurvAYo8nW0X1fUdfhuvPsBnHPvAJuBcX7+4aeJW5JcVV2jzuZKp501KJ8Jg/vxhyWVp59ZRCSFVR8KPxpDbaR01gcmD6G+sVm3pEi3JTLxXAyM9aPNZhMeLGheu3nmATf799cDL/v7KucBc/yItKMID/CzKFadfplXfB34Op/uaB1mVuIHK8LMRvt1bHHO7QHqzWy6vxf0MxF1SYrQwAlypm56Txkrd9WxfGdt0KGIiCSMBt+TM3XpWQMZWZzHb9/eHnQokuISlnj6+ym/CswH1gJznXOrzey7Znatn+2XQLGZbSLc3fVOv+xqYC6wBnge+IpzriVWnb6uO4DbfV3Fvu6Y6wBmACvMbDnhQYe+5Jw74Kd9GfgF4UGNNgPPxXHXSA/QwAlypj48ZRh52SEeUcMqImms+sTjxtRGSudkZBifnFbGoq0HWF9VH3Q4ksIyTz9L1znnngWebVd2d8T7Y8ANMZa9B7inM3X68i2ER71tXx51Hc65J4EnY6x7CXBOtGmS/JpbWqk5rK62cmb65Wbx0fOHMXdJJd+cOV5XA0QkLbUNoqZeQXImbpg6gn9/cQO/+MsW7rvh3KDDkRSVyK62IoGoOdxEq0MDJ8gZ+5sZY2htddz/6qagQxERSYjqQ43kZYfIz0notQdJMwP6ZnPTe8p46t1dbKs5EnQ4kqKUeEraaXuGp654ypkaMSCPG6YO5/eLdrKr9mjQ4YiIxF21f5RKB480F4nqy5ePIStk/PjljUGHIilKiaeknd0+YRha1CfgSCQVfeV9Z2EG//zMmqBDERGJu121R9U+SpcM6pfLzReX89TSXSzZduD0C4i0o8RT0s6ug+HEc5gaVumC4f3zuO2qsTy/uop5y/UkJRFJL+HEUz2CpGv+7oqxDCvqw7eeXMHhxuagw5EUo8RT0s6u2qPk52RS0Ef3r0jXfPGy0Vwwsj93PLGCVbvqgg5HRCQuGptb2FffyLCivKBDkRTVNyeT+26YzLaaI3xj7jKaW1qDDklSiBJPSTu7/dlc3b8iXZUVyuD+m86nf14WN/1ioboUiUhaaBvRVlc8pTsuHjOQ//uBCuavrua2x5bR0KQrn9I5Sjwl7eyu0/0r0n2DCnJ5/G8uoigvi088+Db//Mc11BxuDDosEZEuaxs0TbeiSHd9/tJRfPuas3l21R4++OM3eH7VHlpbXdBhSZJTX0RJO7trjzF5eFHQYUgaGDEgj2e+din3/HEtv3pzKw+/tY2LxhQzY2wJ544o4pxhBeRl68+oiKSG3bVtVzyVeEr3fXHGaCqGFvCPT6/iS79dyqB+OcycWMrUkQM4d0QR5cV56n0mJ9ERk6SVo00tHDjSpLO5EjcFuVnce/1kbn3vaJ54p5LnV1Vxz7NrAcgwOHtIAVNH9mfaqGLeO75Ez8YTkaTVNur74EJ1tZX4uOSsgbzw9Rk8v7qKZ5bv5sl3dvHbt3cAUJSXxQVl/bmgvD8zxpYwcWiBEtFeTkdIklbUjUgSZUxJPnfMnsAdsydQc7iRFZW1LNtRy5LtB5m7pJKHF2wnJzODKyYM4tMXjeSi0cVqYEUkqew6eJSSfjnkZoWCDkXSSGYogw9OHsoHJw+luaWVjXsPs3xnLUt3HGTJ9oP8ed1efvD8ekYW5/GRKcP49PSRFOfnBB22BECJp6QVPcNTesLA/ByumFDKFRNKAWhuaWXpjlqeXbmHZ5bv5rlVVUwaVsg/zBrPjHElAUcrIhKmMRAk0TJDGZw9pICzhxQwZ1oZADWHG/nz2mqeWb6HH720kftf3cycC0dw21XjGNA3O+CIpSdpcCFJK39NPNWNSHpOZiiDaaMG8J1rJ/LmnVfwLx+dRN3R43zmoUV84eEl7K0/FnSIIp1iZrPNbL2ZbTKzO6NMn2FmS82s2cyuDyJG6bpdtUcZpvZRetjA/Bw+cWEZv/3Ce3jp9vfykSnD+O3CHVx+3ys8tmgHzmlQot5Ciaekld21R8kwKC1QwyrByM0KceO0Ml68fQZ3zJ7AXzbu4+of/YXXNuwLOjSRDplZCPgJcDVQAdxoZhXtZtsBfBZ4tGejk+5yzoUfN1aoK54SnLMG5fOvH5vMc7ddRsXQAu58aiVf/u1SDh07HnRo0gOUeEpa2XnwKIMLcskK6astwcrJDPHly8fwzNcupaRfDp//9WLmLt4ZdFgiHZkGbHLObXHONQGPAddFzuCc2+acWwHoqfEppuZwE8eOtzKsvxJPCd640n48+oXp/J9rJvDS2mo+/sACqg+pd1C609G5pJXt+48wsrhv0GGInDCutB9PfvliLh5TzLeeXMFDb2wNOiSRWIYBkWdHKn3ZGTOzW81siZkt2bdPV/uTwY4DRwAoVxspSSIjw7h1xhge+uyF7DzQwMfuf4uqOiWf6UyJp6SV7fsbGFmcF3QYIifpm5PJL2++kNkTB/PdP65h3vLdQYckEk20YZi7dPOVc+5B59xU59zUkhINsJUMttU0AFCmNlKSzIxxJTz6xenUNhzn5ocWUXdU3W7TlRJPSRv1x46z/0iTrnhKUsrOzOBHc85j2qgBfPMPy1mz+1DQIYm0VwmMiPg8HNBZkjSx/UADGQbD1dVWktC5I4r42acvYEvNYb4xd7kGHEpTSjwlbWzfHz6bqyuekqxys0L89KbzKeqTxVcfXcqRxuagQxKJtBgYa2ajzCwbmAPMCzgmiZPt+48wpLAPOZl6hqckp0vOGsidV5/NS2ureejNbUGHIwmgxFPSxo4DSjwl+Q3Mz+HHN05h6/4j/PsLG4IOR+QE51wz8FVgPrAWmOucW21m3zWzawHM7EIzqwRuAH5mZquDi1jOxPb9DZQPVPsoye3zl5Rz1dmDuPf5dWyrORJ0OBJnCU08O/E8sBwze9xPX2hm5RHT7vLl681s1unq9GdoF5rZRl9ndkfrMLP3m9k7ZrbS/3tFRF2v+nUs869Bidg/El/b9of/QKmrrSS76aOLuek9Zfz6ra2srKwLOhyRE5xzzzrnxjnnxjjn7vFldzvn5vn3i51zw51zfZ1zxc65icFGLJ21ff8RygaofZTkZmbc85FJ5IQy+Pb/rlSX2zSTsMSzk88DuwU46Jw7C/ghcK9ftoJwF5+JwGzgp2YWOk2d9wI/dM6NBQ76umOuA6gBPuScmwTcDDzSLrabnHPn+dfebu4O6QE79jcwMD+b/JzMoEMROa1/mDWB4vwc/t+8VWpYRSSh6o4e52DDccrVI0hSQGlBLt+aPZ43N+1n/uqqoMOROErkFc/TPg/Mf37Yv38CuNLMzJc/5pxrdM5tBTb5+qLW6Ze5wteBr/PDHa3DOfeuc65t0ITVQK6Z5cRt66XHbdt/hLIBalQlNRT2yeLvrxrH0h21vLRW57ZEJHF2aAwESTE3TitjTElf7pu/nuYWPTY4XSQy8ezM88BOzOPvLakDijtYNlZ5MVDr62i/rljriPQx4F3nXGNE2a98N9t/9IntKfScsuSyY3+Dnk8mKeWGqcMZNbAv981fR0urrnqKSGJsP6BbUSS1ZIYy+IdZ49m87whPLd0VdDgSJ4lMPDvzPLBY88Sr/LRxmNlEwt1v/yZi+k2+C+5l/vXpKHXoOWVJpKGpmd11x9SoSkrJCmXwzZnj2VB9mGf0bE8RSZAt+9oST13xlNQxa+Jgzh1eyI9e2sBxXfVMC4lMPDvzPLAT85hZJlAIHOhg2VjlNUCRr6P9umKtAzMbDvwP8Bnn3Oa2Sp1zu/y/9cCjhLv4ShLbvDfcqI4rzQ84EpEzc/U5gxk7KJ8HXtusez1FJCE2VNczvH8f8rI1BoKkDjPjtqvGsrvumE7OpolEJp6deR7YPMID+wBcD7zswkde84A5fkTaUcBYYFGsOv0yr/g68HU+3dE6zKwI+BNwl3PuzbaAzCzTzAb691nAB4FVcdgfkkAbqusBGFvaL+BIRM5MRoZx64zRrKuq5/WNNUGHIyJpaNPew4xT+ygp6PJxgxhXms+Dr2/Rydk0kLDEszPPAwN+CRSb2SbgduBOv+xqYC6wBnge+IpzriVWnb6uO4DbfV3Fvu6Y6/D1nAX8Y7vHpuQA881sBbAM2AX8PN77R+Jrw956skMZGrFPUtJ15w2jtCCHn722+fQzi4icgeaWVrbsO8JY9QiSFBQ+OTuGdVX1vLZB46mkuoT2uXDOPQs8267s7oj3xwg/hDrasvcA93SmTl++hShdYmOtwzn3PeB7MUK/IEa5JKlN1YcZXdKXzFBCH00rkhDZmRl8/pJR/Mtz61hZWcek4YVBhyQiaWLb/gaaWloZN0hXPCU1XXvuUP5t/np+9toWLh8/KOhwpBt0lC5pYcPees4apLO5krpufE8Z+TmZ/PwvW4IORUTSyMYTt6KojZTUlJ2ZwecuKWfBlv2s2lUXdDjSDUo8JeUdbmym8uBRxuv+FUlhBblZzLlwBM+u3MPu2qNBhyMiaWJdVT1m6OSspLQ508romx3ioTe2Bh2KdIMST0l5q3fV4Ryco+6JkuJuvricVud4eMG2oEMRkTSxalcdZ5Xka0RbSWmFfbK4YeoI5i3fTfWhY0GHI12kxFNS3krf7WLSMCWektpGDMjj6nOG8PuFOzjS2Bx0OCKSBlbs0n3jkh4+f8koWpzjNwu2BR2KdJEST0l5KyrrGFqYy8D8nKBDEem2z186ikPHmnnincqgQxGRFFd96Bj76huZrBOzkgbKivOYWVHK7xbuoKFJJ2dTkRJPSXkrd9VxjhpVSRMXjOzPlLIifvXmVlpa9cwyEem6FZW+R5CueEqa+MJlo6ltOM6TS3cFHYp0gRJPSWm1DU1srTnCZDWqkkZuuXQU2/Y38Oe11UGHIiIpbPnOWkIZRsUQtZGSHqaO7M/k4YX86o2ttOrkbMpR4ikpbdHWAwBMG1UccCQi8TN74mCGFfXhlxq9T0S6YeHW/UwaVkif7FDQoYjEhZlxy6Wj2FJzhFfW7w06HDlDSjwlpS3Ysp+czAzOHaGzuZI+MkMZfPbichZuPaBnlolIlxxtamHZzlqmj9aJWUkv10wawpDCXJ2cTUFKPCWlvb3lAFPL+5OTqbO5kl4+MW0EfbNDalhFpEve2X6Q4y2O6aMHBB2KSFxlhTK4+eJy3tq8n9W7dXI2lSjxlJS1/3Aj66oOMV3dbCUNFeRm8fELR/DM8t1U1emZZSJyZt7cXEMow5harsRT0s+NF5bRJyvEQ29sCzoUOQNKPCVlvbimGufgirMHBR2KSEJ87uJRtDrHr97SVU8R6TznHPNXVzF99ADyczKDDkck7grzsvj41OHMW75LJ2dTiBJPSVnPr66ibEAeFUMKgg5FJCHKivP40LlDefitbVQfUsMqIp2zce9htuw7wuxzhgQdikjCfOGy0QD86KUNAUcinaXEU1JSXcNx3txUw+xzBmNmQYcjkjDfnDmellbHD19UwyoinfOnFXswg1kVpUGHIpIwIwbk8anpI5m7ZCcbq+uDDkc6QYmnpKS5S3ZyvMXx4fOGBR2KSEKNGJDHp6eXM3fJTpbtrA06HBFJcsdbWnl88U4uGTOQQQW5QYcjklBfu2IsfXMyufvp1Tin53omOyWeknJaWh2/eXsb08oHUDFU3Wwl/X39/WMpLcjlW08sp7G5JehwRCSJvbC6mqpDx7j54vKgQxFJuAF9s7nr6rNZsGU/jy3eGXQ4chpKPCXlPLW0kp0HjvK5S8qDDkWkRxTkZvH9j05iQ/Vh7vnT2qDDEZEk1dzSyn+9vJGyAXlcMUED70nvcOO0EVw8ppjv/XEN66vU5TaZKfGUlFJ39Dj3Pr+e88uKmH3O4KDDEekx7xs/iC9cOorfLNjOIwu2BR2OiCSh3y3cwbqqeu66egKhDI1/IL2DmfEfHz+PvjmZ3PLwYvbVNwYdksSgxFNSRnNLK7c99i51R5v4zrUTNaiQ9Dp3XXM2V04YxD8+vZoHX9+s+1lE5IRlO2u559m1XDZ2oE7MSq8zuDCXBz8zlZrDjVz/wFts338k6JAkioQmnmY228zWm9kmM7szyvQcM3vcT19oZuUR0+7y5evNbNbp6jSzUb6Ojb7O7HivQ4Jz4EgTtz7yDq+u38d3rp3I5OFFQYck0uNCGcZPP3U+H5g0hO8/u45bHl7Ctho1rhI/3Wm3JTgvr6vm079YyKB+OfznnCk6MSu90nkjinj0i9OpO3qcD/z4DX6zYBtNza1BhyURLFFnzM0sBGwA3g9UAouBG51zayLm+VtgsnPuS2Y2B/iIc+4TZlYB/B6YBgwFXgLG+cWi1mlmc4GnnHOPmdkDwHLn3P3xXEdH2zt16lS3ZMmSbuwxidTS6qg53Mi6qnr+smEfc5fs5EhTC/907UQ+NX1k0OGJBKql1fHrt7bxb/PXc6y5hRljS7h8fAmThxdRNiCPgfnZOvBMIDN7xzk3Neg44q077XZH9ap9jL+GpmZ2HTzKuztqeXr5Lt7ctJ8Jg/vxy89eyLCiPkGHJxKonQcauOuplbyxqYaSfjlcc85gLhpTzFmD8hneP4/crFDQIaa1jtrIzASudxqwyTm3xQfxGHAdEJnAXQd8x79/AvhvCx8tXQc85pxrBLaa2SZfH9HqNLO1wBXAJ/08D/t674/XOtrFHXf/+tw6XlpbfVLXuZNOCbhTy9rmPbkschF3almU8wzR1nnaeqKu051SFi3emOuJ2J4jjc20+mmZGcb7K0r5+/ePY1xpv1M3QKSXCWUYt1w6ig9NHsIjb29n3vLd/NMz+05MN4O8rBB5OZnkZGZgBoZhBhlmGICBEb43pjelqFPKivjB9ecGHUay6nK77RLY7/vgkSZu+NkCIHo7QpS2KVZb+te2KUp7FWMLOmpro9Vzchwn1RRzvtOuJ2Kh5lZHQ9NfR7ceVtSHu66ewGcvKScnUwfUIiMG5PHILdN4fWMNjyzYztwllTy8YPuJ6dmhDPpkh8jLDhHKOLlttBP/9r72EeD7H53EheUDElZ/IhPPYUDkuMaVwHtizeOcazazOqDYl7/dbtm2BzZGq7MYqHXONUeZP17rOIWZ3QrcClBWVhZtlk4bUpjL+LakKuJbHvmFb7uCcXJZ7PlOKj+pTjtp2dh12qllJ/0Co0zvZD2R80a7MpOfk0lpYS6jB/bl3BFF5Ock8qsqkpoGFeTyjZnj+cbM8VQebGBDdT079jdw4EgTR5paaGhqpvF4K47wgWv4X2j173EnHzj3BsOK8oIOIZl1p92uiZwpnu1jKGR/bR8hahsZrd2L3cad2pbS6fYqsixKWxql0s7WE1keq02H8Imngfk5DC7MYdKwQkYPzCdDAwmJnMTMeO+4Et47roSm5lZW765jx4EGKg8e5XBjMw2NzRxpaqG11Z1oI1sd7drL3tU+AvRJ8NXgRB7NR/sr2P5/MNY8scqj3ZPa0fzxXMephc49CDwI4a5E0ebprJsvLtczt0Sky4b3z2N4fyVV0i3dabdPLohj+1iQm8VPbjq/O1WISC+WnZnBlLL+TCnrH3QovV4iBxeqBEZEfB4O7I41j5llAoXAgQ6WjVVeAxT5OtqvK17rEBERSWfdabdFREQ6lMjEczEw1o82mw3MAea1m2cecLN/fz3wsr9PZB4wx4+eNwoYCyyKVadf5hVfB77Op+O5jjjtExERkWTVnXZbRESkQwnrauvv/fgqMB8IAQ8551ab2XeBJc65ecAvgUf8wD4HCDdy+PnmEh7QoBn4inOuBSBanX6VdwCPmdn3gHd93cR5HSIiImmpO+22iIjI6STscSq9jYaLFxHpHdL1cSqJovZRRKT36KiNTGRXWxERERERERElniIiIiIiIpJYSjxFREREREQkoZR4ioiIiIiISEJpcKE4MbN9wPag4+iCgYSfg5qqFH+wFH+wFH8wRjrnSoIOIlWkcPvYXqp+X7uqN21vb9pW0Pams2TY1phtpBLPXs7MlqTy6IyKP1iKP1iKX6Tn9Lbva2/a3t60raDtTWfJvq3qaisiIiIiIiIJpcRTREREREREEkqJpzwYdADdpPiDpfiDpfhFek5v+772pu3tTdsK2t50ltTbqns8RUREREREJKF0xVNEREREREQSSomniIiIiIiIJJQSz17KzGab2Xoz22RmdwYcywgze8XM1prZajO7zZd/x8x2mdky/7qakxs3AAAKXUlEQVQmYpm7fOzrzWxWRHnU7TKzUWa20Mw2mtnjZpYd523YZmYrfZxLfNkAM3vRr/NFM+vvy83MfuxjXGFm50fUc7Off6OZ3RxRfoGvf5Nf1uIY+/iIfbzMzA6Z2deTef+b2UNmttfMVkWUJXx/x1pHnOK/z8zW+Rj/x8yKfHm5mR2N+H94oKtxdrQv4hB/wr8vZpbjP2/y08u7Er9IV8X6naYrM7vBwu1yq5kl7SMauiPW36F0FO1vd7qyGMeW6crMcs1skZkt99v7T0HHFJVzTq9e9gJCwGZgNJANLAcqAoxnCHC+f98P2ABUAN8Bvhll/gofcw4wym9LqKPtAuYCc/z7B4Avx3kbtgED25X9ALjTv78TuNe/vwZ4DjBgOrDQlw8Atvh/+/v3/f20RcBFfpnngKsT+N2oAkYm8/4HZgDnA6t6cn/HWkec4p8JZPr390bEXx45X7t6zijOWPsiTvEn/PsC/C3wgH8/B3g8Eb8DvfSK9Yr1O03XF3A2MB54FZgadDwJ2L6kOh7qge095W93ur6IcWwZdFwJ3F4D8v37LGAhMD3ouNq/dMWzd5oGbHLObXHONQGPAdcFFYxzbo9zbql/Xw+sBYZ1sMh1wGPOuUbn3FZgE+Ftirpd/irQFcATfvmHgQ8nZmtOifPhKOu8DviNC3sbKDKzIcAs4EXn3AHn3EHgRWC2n1bgnFvgwn9RfpPA+K8ENjvntncwT+D73zn3OnAgSlyJ3t+x1tHt+J1zLzjnmv3Ht4HhHdXRxThj7Ytux9+BeH5fIrfrCeDKtqu8Ij3hTH+nqc45t9Y5tz7oOBIoqY6HEu0M/3antC4cW6Y0364f9h+z/CvpRpBV4tk7DQN2RnyuJEl+jL7r3BTCZ2oAvuq7ND0U0a0xVvyxyouB2oiDhURsrwNeMLN3zOxWX1bqnNsD4T+AwKAuxj/Mv29fnghzgN9HfE6V/Q89s79jrSPePk/4ymSbUWb2rpm9ZmaX+bKuxJno336ivy8nlvHT6/z8IkFo/zuV1JO0x0MSP1GOLdOSmYXMbBmwl/CJ9aTbXiWevVO0KwSBnxUxs3zgSeDrzrlDwP3AGOA8YA/w722zRlncdaE8ni5xzp0PXA18xcxmdDBvMsaPv4/uWuAPviiV9n9HUipeM/s20Az8zhftAcqcc1OA24FHzayArsWZyG3rie9L0N8l6QXM7CUzWxXldV3EPO1/pymrM9ubxvQ3Jc1FObZMW865FufceYR7Ykwzs3OCjqm9zKADkEBUAiMiPg8HdgcUCwBmlkX4D8PvnHNPATjnqiOm/xz4o//YUfzRymsIdynM9FdJ4r69zrnd/t+9ZvY/hLvvVJvZEOfcHt+dce9p4q8ELm9X/qovHx5l/ni7Gljatt9Taf97PbG/Y60jLiw8wNEHgSt991mcc41Ao3//jpltBsZ1Mc6E/fZ76PvSVlelmWUChfSSbmPSc5xzV3U0PdrvNJWdbnvTXNIdD0n8RDu27A2cc7Vm9iowG0iqgaR0xbN3WgyM9SNHZhPuXjkvqGD8PVq/BNY65/4jojzy3rOP8Ncfzzxgjh/hchQwlvAgK1G3yx8YvAJc75e/GXg6jvH3NbN+be8JDz6xysfZNlJq5DrnAZ+xsOlAne8OOR+YaWb9fTfFmcB8P63ezKb7ffWZeMYf4UYiutmmyv6P0BP7O9Y6us3MZgN3ANc65xoiykvMLOTfjya8v7d0Mc5Y+yIe8ffE9yVyu64HXk6HA39JHbF+p5Kykup4SOIn1rFluvLHCm2j4fcBrgLWBRtVFC4JRjjSq+dfhEe33EB4NLdvBxzLpYS7tqwAlvnXNcAjwEpfPg8YErHMt33s64kY4TXWdhEesW4R4YFN/gDkxDH+0YRHwlsOrG5bL+F7z/4MbPT/DvDlBvzEx7iSiJECCd8ztMm/PhdRPpXwgfxm4L8Bi/P/QR6wHyiMKEva/U84Qd4DHCd8xvqWntjfsdYRp/g3Eb7XqO030DZ668f892o5sBT4UFfj7GhfxCH+hH9fgFz/eZOfPjqevwO99DrdK9bvNF1fhE8iVRLudVFN+ORc4HHFeRuT5nioB7b1lL/dQceUwG2NemwZdFwJ3N7JwLt+e1cBdwcdU7RX20GKiIiIiIiISEKoq62IiIiIiIgklBJPERERERERSSglniIiIiIiIpJQSjxFREREREQkoZR4ioiIiIiISEIp8RTppczscNAxiIiIdEeyt2Vm9mEzuzuO9f3azK4//Zwn5i83s1X+/SQz+3W8YhE5U0o8RUREREQS41vAT4MOAsA5txIYbmZlQccivZMST5FezswuN7NXzewJM1tnZr8zM/PTLjSzt8xsuZktMrN+ZpZrZr8ys5Vm9q6Zvc/P+1kz+18ze8bMtprZV83sdj/P22Y2wM83xsyeN7N3zOwvZjYhyO0XEZHUl4xtmZmNAxqdczX+8w1mtsrH8bovC5nZv/k4VpjZ13z53Wa22M//YNu2tKv/AjN7zccw38yGRJQvN7MFwFfaLfYMMCde+13kTCjxFBGAKcDXgQpgNHCJmWUDjwO3OefOBa4CjuIbMefcJOBG4GEzy/X1nAN8EpgG3AM0OOemAAuAz/h5HgS+5py7APgmSXImWEREUl6ytWWXAEsjPt8NzPJxXOvLbgVGAVOcc5OB3/ny/3bOXeicOwfoA3wwsmIzywL+C7jex/CQjxXgV8DfOecuihLTEuCyKOUiCZcZdAAikhQWOecqAcxsGVAO1AF7nHOLAZxzh/z0Swk3djjn1pnZdmCcr+cV51w9UG9mdYTPrAKsBCabWT5wMfCHiJO3OQneNhER6R2SrS0bAuyL+Pwm8Gszmws85cuuAh5wzjX7WA748veZ2beAPGAAsDoiDoDxhBPkF30MIWCPmRUCRc651/x8jwBXRyy3FxgaJVaRhFPiKSIAjRHvWwj/bTDARZn3lO4+Meppjfjc6uvMAGqdc+d1PVQREZGokq0tOwoUtn1wzn3JzN4DfABYZmbnRYvPX3n9KTDVObfTzL4D5HIyA1a3v6ppZkXt62sn18cl0uPU1VZEYlkHDDWzCwH8PTGZwOvATb5sHFAGrO9Mhf5M81Yzu8Evb2Z2biKCFxERIdi2bC1wVtsHMxvjnFvonLsbqAFGAC8AX/Ix4e8hbUsya/zV1Wij2K4HSszsIr9clplNdM7VAnX+ii5t2xhhHLCqM9spEm9KPEUkKudcE/AJ4L/MbDnwIuHG8KdAyMxWEr5v5rPOucbYNZ3iJuAWX+dq4Lr4Ri4iIhIWcFv2OjAlYmCg+/wgQqv8tOXAL4AdwApf1yd98vhzwl17/xdYHGO7rgfu9cstI9z9F+BzwE/84ELtr26+D/jTGWynSNyYcx1djRcRERERka4ws/8EnnHOvZQEseQArwGXtt1TKtKTdMVTRERERCQxvk94gKBkUAbcqaRTgqIrniIiIiIiIpJQuuIpIiIiIiIiCaXEU0RERERERBJKiaeIiIiIiIgklBJPERERERERSSglniIiIiIiIpJQ/x8NO1tspTw9ygAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(15,4), nrows=1, ncols=2)\n",
    "\n",
    "income_df.plot.density(ax=axs[0])\n",
    "axs[0].set_title('Original data')\n",
    "axs[0].set_xlabel('Income')\n",
    "\n",
    "data_transformed = robust_scale(income_df)\n",
    "income_df = pd.DataFrame(data_transformed, columns=income_df.columns, index=income_df.index)\n",
    "\n",
    "income_df.plot.density(ax=axs[1])\n",
    "axs[1].set_title('Transformed data')\n",
    "axs[1].set_xlabel('Income (scaled)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore membership"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<center><style  type=\"text/css\" >\n",
       "</style><table id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Membership description</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >became_member_on</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >17000.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >20167034.23</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >11677.50</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >20130729.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >20160526.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >20170802.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >20171230.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_00928d0e_4b86_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >20180726.00</td>\n",
       "            </tr>\n",
       "    </tbody></table> <style  type=\"text/css\" >\n",
       "</style><table id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Membership description</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >became_member_on</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >17000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >unique</th>\n",
       "                        <td id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >1716</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >top</th>\n",
       "                        <td id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >2017-12-07 00:00:00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >freq</th>\n",
       "                        <td id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >43</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >first</th>\n",
       "                        <td id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >2013-07-29 00:00:00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >last</th>\n",
       "                        <td id=\"T_0092b70c_4b86_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >2018-07-26 00:00:00</td>\n",
       "            </tr>\n",
       "    </tbody></table><img 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\" style=\"display:inline;top:0%\"/></center>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Select registers\n",
    "membership_df = profile_df.became_member_on\n",
    "\n",
    "# Generate box plot\n",
    "fig1 = Figure(figsize=(7,4))\n",
    "ax = fig1.subplots()\n",
    "ax.set_title('Box Plot')\n",
    "membership_df.plot.box(ax=ax, vert=False)\n",
    "ax.set_yticklabels('')\n",
    "\n",
    "# Generate registers' description\n",
    "member_desc_integers_pdstyle = \\\n",
    "    pd.DataFrame(membership_df.describe()).style \\\n",
    "    .set_caption('Membership description') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "\n",
    "## Convert data to datetime format\n",
    "membership_df = pd.to_datetime(membership_df, format='%Y%m%d')\n",
    "\n",
    "# Generate registers' description\n",
    "member_desc_datetime_pdstyle = \\\n",
    "    pd.DataFrame(membership_df.describe()).style \\\n",
    "    .set_caption('Membership description') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "\n",
    "## Generate histograms\n",
    "bins = 12\n",
    "fig2, axs = plt.subplots(nrows=1, ncols=2, figsize=(15, 4))\n",
    "\n",
    "membership_df.groupby(membership_df.dt.year) \\\n",
    "    .hist(bins=bins, ax=axs[0])\n",
    "axs[0].set_ylabel('users')\n",
    "axs[0].set_xlabel('date\\n(year/month)')\n",
    "axs[0].grid(False)\n",
    "\n",
    "membership_df.astype(np.long).plot.density(ax=axs[1])\n",
    "\n",
    "\n",
    "## Display the information generated above\n",
    "display_html('<center>' \\\n",
    "              + member_desc_integers_pdstyle._repr_html_() \\\n",
    "              + ' '\n",
    "              + member_desc_datetime_pdstyle._repr_html_() \\\n",
    "              + convert_fig_to_html(fig1) \\\n",
    "              + '</center>',\n",
    "             raw=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(15,4), nrows=1, ncols=2)\n",
    "\n",
    "membership_values = membership_df.astype(np.long)\n",
    "membership_values.plot.density(ax=axs[0])\n",
    "axs[0].set_title('Original data')\n",
    "axs[0].set_xlabel('Became Member On')\n",
    " \n",
    "membership_values = quantile_transform(membership_values.values.reshape(-1,1),\n",
    "                                       output_distribution='normal',\n",
    "                                       copy=True)\n",
    "membership_df = pd.DataFrame(membership_values,\n",
    "                             index=membership_df.index)\n",
    "\n",
    "membership_df.plot.density(ax=axs[1])\n",
    "axs[1].set_title('Transformed data')\n",
    "axs[1].set_xlabel('Became Member On (scaled)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transcript data set\n",
    "Event log containing records for transactions, offers received, offers viewed, and offers completed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>person</th>\n",
       "      <th>event</th>\n",
       "      <th>value</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>offer received</td>\n",
       "      <td>{'offer id': '9b98b8c7a33c4b65b9aebfe6a799e6d9'}</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a03223e636434f42ac4c3df47e8bac43</td>\n",
       "      <td>offer received</td>\n",
       "      <td>{'offer id': '0b1e1539f2cc45b7b9fa7c272da2e1d7'}</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>e2127556f4f64592b11af22de27a7932</td>\n",
       "      <td>offer received</td>\n",
       "      <td>{'offer id': '2906b810c7d4411798c6938adc9daaa5'}</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8ec6ce2a7e7949b1bf142def7d0e0586</td>\n",
       "      <td>offer received</td>\n",
       "      <td>{'offer id': 'fafdcd668e3743c1bb461111dcafc2a4'}</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>68617ca6246f4fbc85e91a2a49552598</td>\n",
       "      <td>offer received</td>\n",
       "      <td>{'offer id': '4d5c57ea9a6940dd891ad53e9dbe8da0'}</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             person           event  \\\n",
       "0  78afa995795e4d85b5d9ceeca43f5fef  offer received   \n",
       "1  a03223e636434f42ac4c3df47e8bac43  offer received   \n",
       "2  e2127556f4f64592b11af22de27a7932  offer received   \n",
       "3  8ec6ce2a7e7949b1bf142def7d0e0586  offer received   \n",
       "4  68617ca6246f4fbc85e91a2a49552598  offer received   \n",
       "\n",
       "                                              value  time  \n",
       "0  {'offer id': '9b98b8c7a33c4b65b9aebfe6a799e6d9'}     0  \n",
       "1  {'offer id': '0b1e1539f2cc45b7b9fa7c272da2e1d7'}     0  \n",
       "2  {'offer id': '2906b810c7d4411798c6938adc9daaa5'}     0  \n",
       "3  {'offer id': 'fafdcd668e3743c1bb461111dcafc2a4'}     0  \n",
       "4  {'offer id': '4d5c57ea9a6940dd891ad53e9dbe8da0'}     0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bcc\" ><caption>Count events</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >transaction</th>        <th class=\"col_heading level0 col1\" >offer received</th>        <th class=\"col_heading level0 col2\" >offer viewed</th>        <th class=\"col_heading level0 col3\" >offer completed</th>        <th class=\"col_heading level0 col4\" >missing</th>        <th class=\"col_heading level0 col5\" >total</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >event</th>\n",
       "                        <td id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >138953</td>\n",
       "                        <td id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >76277</td>\n",
       "                        <td id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >57725</td>\n",
       "                        <td id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bccrow0_col3\" class=\"data row0 col3\" >33579</td>\n",
       "                        <td id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bccrow0_col4\" class=\"data row0 col4\" >0</td>\n",
       "                        <td id=\"T_020b1aac_4b86_11ea_a036_2ba4ea381bccrow0_col5\" class=\"data row0 col5\" >306534</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c10f2db00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "transcript_df = load_dataframe(transcript_data_path)\n",
    "display(transcript_df.head())\n",
    "display(pd.DataFrame(transcript_df.event.value_counts()).T \\\n",
    "        .assign(missing=transcript_df.event.isna().sum()) \\\n",
    "        .assign(total=transcript_df.count()) \\\n",
    "        .style.set_caption('Count events'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploration\n",
    "\n",
    "### Initial transformation\n",
    "\n",
    "The first step to understand this data set is splitting the value column, so that it is possible to analyze the relationship between events and results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>person</th>\n",
       "      <th>event</th>\n",
       "      <th>time</th>\n",
       "      <th>amount</th>\n",
       "      <th>offer_id</th>\n",
       "      <th>reward</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>offer received</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9b98b8c7a33c4b65b9aebfe6a799e6d9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a03223e636434f42ac4c3df47e8bac43</td>\n",
       "      <td>offer received</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0b1e1539f2cc45b7b9fa7c272da2e1d7</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>e2127556f4f64592b11af22de27a7932</td>\n",
       "      <td>offer received</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2906b810c7d4411798c6938adc9daaa5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8ec6ce2a7e7949b1bf142def7d0e0586</td>\n",
       "      <td>offer received</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fafdcd668e3743c1bb461111dcafc2a4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>68617ca6246f4fbc85e91a2a49552598</td>\n",
       "      <td>offer received</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4d5c57ea9a6940dd891ad53e9dbe8da0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12650</th>\n",
       "      <td>389bc3fa690240e798340f5a15918d5c</td>\n",
       "      <td>offer viewed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>f19421c1d4aa40978ebb69ca19b0e20d</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12651</th>\n",
       "      <td>d1ede868e29245ea91818a903fec04c6</td>\n",
       "      <td>offer viewed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5a8bc65990b245e5a138643cd4eb9837</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12652</th>\n",
       "      <td>102e9454054946fda62242d2e176fdce</td>\n",
       "      <td>offer viewed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4d5c57ea9a6940dd891ad53e9dbe8da0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12653</th>\n",
       "      <td>02c083884c7d45b39cc68e1314fec56c</td>\n",
       "      <td>offer viewed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ae264e3637204a6fb9bb56bc8210ddfd</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>be8a5d1981a2458d90b255ddc7e0d174</td>\n",
       "      <td>offer viewed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5a8bc65990b245e5a138643cd4eb9837</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12654</th>\n",
       "      <td>02c083884c7d45b39cc68e1314fec56c</td>\n",
       "      <td>transaction</td>\n",
       "      <td>0</td>\n",
       "      <td>0.83</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12657</th>\n",
       "      <td>9fa9ae8f57894cc9a3b8a9bbe0fc1b2f</td>\n",
       "      <td>transaction</td>\n",
       "      <td>0</td>\n",
       "      <td>34.56</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12659</th>\n",
       "      <td>54890f68699049c2a04d415abc25e717</td>\n",
       "      <td>transaction</td>\n",
       "      <td>0</td>\n",
       "      <td>13.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12670</th>\n",
       "      <td>b2f1cd155b864803ad8334cdf13c4bd2</td>\n",
       "      <td>transaction</td>\n",
       "      <td>0</td>\n",
       "      <td>19.51</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12671</th>\n",
       "      <td>fe97aa22dd3e48c8b143116a8403dd52</td>\n",
       "      <td>transaction</td>\n",
       "      <td>0</td>\n",
       "      <td>18.97</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12658</th>\n",
       "      <td>9fa9ae8f57894cc9a3b8a9bbe0fc1b2f</td>\n",
       "      <td>offer completed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2906b810c7d4411798c6938adc9daaa5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12672</th>\n",
       "      <td>fe97aa22dd3e48c8b143116a8403dd52</td>\n",
       "      <td>offer completed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>fafdcd668e3743c1bb461111dcafc2a4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12679</th>\n",
       "      <td>629fc02d56414d91bca360decdfa9288</td>\n",
       "      <td>offer completed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9b98b8c7a33c4b65b9aebfe6a799e6d9</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12692</th>\n",
       "      <td>676506bad68e4161b9bbaffeb039626b</td>\n",
       "      <td>offer completed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ae264e3637204a6fb9bb56bc8210ddfd</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12697</th>\n",
       "      <td>8f7dd3b2afe14c078eb4f6e6fe4ba97d</td>\n",
       "      <td>offer completed</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4d5c57ea9a6940dd891ad53e9dbe8da0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>offer received</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9b98b8c7a33c4b65b9aebfe6a799e6d9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15561</th>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>offer viewed</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9b98b8c7a33c4b65b9aebfe6a799e6d9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47582</th>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>transaction</td>\n",
       "      <td>132</td>\n",
       "      <td>19.89</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47583</th>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>offer completed</td>\n",
       "      <td>132</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9b98b8c7a33c4b65b9aebfe6a799e6d9</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49502</th>\n",
       "      <td>78afa995795e4d85b5d9ceeca43f5fef</td>\n",
       "      <td>transaction</td>\n",
       "      <td>144</td>\n",
       "      <td>17.78</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 person            event  time  amount  \\\n",
       "0      78afa995795e4d85b5d9ceeca43f5fef   offer received     0     NaN   \n",
       "1      a03223e636434f42ac4c3df47e8bac43   offer received     0     NaN   \n",
       "2      e2127556f4f64592b11af22de27a7932   offer received     0     NaN   \n",
       "3      8ec6ce2a7e7949b1bf142def7d0e0586   offer received     0     NaN   \n",
       "4      68617ca6246f4fbc85e91a2a49552598   offer received     0     NaN   \n",
       "12650  389bc3fa690240e798340f5a15918d5c     offer viewed     0     NaN   \n",
       "12651  d1ede868e29245ea91818a903fec04c6     offer viewed     0     NaN   \n",
       "12652  102e9454054946fda62242d2e176fdce     offer viewed     0     NaN   \n",
       "12653  02c083884c7d45b39cc68e1314fec56c     offer viewed     0     NaN   \n",
       "12655  be8a5d1981a2458d90b255ddc7e0d174     offer viewed     0     NaN   \n",
       "12654  02c083884c7d45b39cc68e1314fec56c      transaction     0    0.83   \n",
       "12657  9fa9ae8f57894cc9a3b8a9bbe0fc1b2f      transaction     0   34.56   \n",
       "12659  54890f68699049c2a04d415abc25e717      transaction     0   13.23   \n",
       "12670  b2f1cd155b864803ad8334cdf13c4bd2      transaction     0   19.51   \n",
       "12671  fe97aa22dd3e48c8b143116a8403dd52      transaction     0   18.97   \n",
       "12658  9fa9ae8f57894cc9a3b8a9bbe0fc1b2f  offer completed     0     NaN   \n",
       "12672  fe97aa22dd3e48c8b143116a8403dd52  offer completed     0     NaN   \n",
       "12679  629fc02d56414d91bca360decdfa9288  offer completed     0     NaN   \n",
       "12692  676506bad68e4161b9bbaffeb039626b  offer completed     0     NaN   \n",
       "12697  8f7dd3b2afe14c078eb4f6e6fe4ba97d  offer completed     0     NaN   \n",
       "0      78afa995795e4d85b5d9ceeca43f5fef   offer received     0     NaN   \n",
       "15561  78afa995795e4d85b5d9ceeca43f5fef     offer viewed     6     NaN   \n",
       "47582  78afa995795e4d85b5d9ceeca43f5fef      transaction   132   19.89   \n",
       "47583  78afa995795e4d85b5d9ceeca43f5fef  offer completed   132     NaN   \n",
       "49502  78afa995795e4d85b5d9ceeca43f5fef      transaction   144   17.78   \n",
       "\n",
       "                               offer_id  reward  \n",
       "0      9b98b8c7a33c4b65b9aebfe6a799e6d9     NaN  \n",
       "1      0b1e1539f2cc45b7b9fa7c272da2e1d7     NaN  \n",
       "2      2906b810c7d4411798c6938adc9daaa5     NaN  \n",
       "3      fafdcd668e3743c1bb461111dcafc2a4     NaN  \n",
       "4      4d5c57ea9a6940dd891ad53e9dbe8da0     NaN  \n",
       "12650  f19421c1d4aa40978ebb69ca19b0e20d     NaN  \n",
       "12651  5a8bc65990b245e5a138643cd4eb9837     NaN  \n",
       "12652  4d5c57ea9a6940dd891ad53e9dbe8da0     NaN  \n",
       "12653  ae264e3637204a6fb9bb56bc8210ddfd     NaN  \n",
       "12655  5a8bc65990b245e5a138643cd4eb9837     NaN  \n",
       "12654                               NaN     NaN  \n",
       "12657                               NaN     NaN  \n",
       "12659                               NaN     NaN  \n",
       "12670                               NaN     NaN  \n",
       "12671                               NaN     NaN  \n",
       "12658  2906b810c7d4411798c6938adc9daaa5     2.0  \n",
       "12672  fafdcd668e3743c1bb461111dcafc2a4     2.0  \n",
       "12679  9b98b8c7a33c4b65b9aebfe6a799e6d9     5.0  \n",
       "12692  ae264e3637204a6fb9bb56bc8210ddfd    10.0  \n",
       "12697  4d5c57ea9a6940dd891ad53e9dbe8da0    10.0  \n",
       "0      9b98b8c7a33c4b65b9aebfe6a799e6d9     NaN  \n",
       "15561  9b98b8c7a33c4b65b9aebfe6a799e6d9     NaN  \n",
       "47582                               NaN     NaN  \n",
       "47583  9b98b8c7a33c4b65b9aebfe6a799e6d9     5.0  \n",
       "49502                               NaN     NaN  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "transcript_df = transcript_df.join(\n",
    "    pd.DataFrame.from_records(transcript_df.pop('value')))\n",
    "transcript_df.offer_id.update(transcript_df.pop('offer id'))\n",
    "\n",
    "display(pd.DataFrame().append([\n",
    "    transcript_df.query('event==\"offer received\"').head(),\n",
    "    transcript_df.query('event==\"offer viewed\"').head(),\n",
    "    transcript_df.query('event==\"transaction\"').head(),\n",
    "    transcript_df.query('event==\"offer completed\"').head(),\n",
    "    transcript_df.query('person==\"78afa995795e4d85b5d9ceeca43f5fef\"').head()]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the representative dataset above, we notice that:\n",
    "* *offer received* and *offer viewed* have an associated *offer id*\n",
    "* *transaction* has an amount value that indicates how much the customer spent\n",
    "* *offer completed* is associated to a reward value\n",
    "* every event is informed with person and time\n",
    "* distinct events can occur to the same person at the same time (see registers 47582 and 47583)\n",
    "\n",
    "So that, we need to check if these statements are always true."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Search for missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bcc\" ><caption>Is there missing information?</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >person</th>        <th class=\"col_heading level0 col1\" >event</th>        <th class=\"col_heading level0 col2\" >time</th>        <th class=\"col_heading level0 col3\" >amount</th>        <th class=\"col_heading level0 col4\" >offer_id</th>        <th class=\"col_heading level0 col5\" >reward</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >offer received</th>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow0_col3\" class=\"data row0 col3\" >False</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow0_col4\" class=\"data row0 col4\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow0_col5\" class=\"data row0 col5\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >offer viewed</th>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow1_col1\" class=\"data row1 col1\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow1_col2\" class=\"data row1 col2\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow1_col3\" class=\"data row1 col3\" >False</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow1_col4\" class=\"data row1 col4\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow1_col5\" class=\"data row1 col5\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >transaction</th>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow2_col1\" class=\"data row2 col1\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow2_col2\" class=\"data row2 col2\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow2_col3\" class=\"data row2 col3\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow2_col4\" class=\"data row2 col4\" >False</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow2_col5\" class=\"data row2 col5\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >offer completed</th>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow3_col1\" class=\"data row3 col1\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow3_col2\" class=\"data row3 col2\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow3_col3\" class=\"data row3 col3\" >False</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow3_col4\" class=\"data row3 col4\" >True</td>\n",
       "                        <td id=\"T_02a54564_4b86_11ea_a036_2ba4ea381bccrow3_col5\" class=\"data row3 col5\" >True</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c0f4706d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bcc\" ><caption>Is there event with extraneous information provided?</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >person</th>        <th class=\"col_heading level0 col1\" >event</th>        <th class=\"col_heading level0 col2\" >time</th>        <th class=\"col_heading level0 col3\" >amount</th>        <th class=\"col_heading level0 col4\" >offer_id</th>        <th class=\"col_heading level0 col5\" >reward</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >offer received</th>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow0_col1\" class=\"data row0 col1\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow0_col2\" class=\"data row0 col2\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow0_col3\" class=\"data row0 col3\" >True</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow0_col4\" class=\"data row0 col4\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow0_col5\" class=\"data row0 col5\" >True</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >offer viewed</th>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow1_col1\" class=\"data row1 col1\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow1_col2\" class=\"data row1 col2\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow1_col3\" class=\"data row1 col3\" >True</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow1_col4\" class=\"data row1 col4\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow1_col5\" class=\"data row1 col5\" >True</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >transaction</th>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow2_col1\" class=\"data row2 col1\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow2_col2\" class=\"data row2 col2\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow2_col3\" class=\"data row2 col3\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow2_col4\" class=\"data row2 col4\" >True</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow2_col5\" class=\"data row2 col5\" >True</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >offer completed</th>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow3_col1\" class=\"data row3 col1\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow3_col2\" class=\"data row3 col2\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow3_col3\" class=\"data row3 col3\" >True</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow3_col4\" class=\"data row3 col4\" >False</td>\n",
       "                        <td id=\"T_02bbd9d2_4b86_11ea_a036_2ba4ea381bccrow3_col5\" class=\"data row3 col5\" >False</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f2c119ae080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(pd.DataFrame(\n",
    "    {'offer received':\n",
    "         transcript_df.query('event==\"offer received\"').notna().all(),\n",
    "     'offer viewed':\n",
    "         transcript_df.query('event==\"offer viewed\"').notna().all(),\n",
    "     'transaction':\n",
    "         transcript_df.query('event==\"transaction\"').notna().all(),\n",
    "     'offer completed':\n",
    "         transcript_df.query('event==\"offer completed\"').notna().all()\n",
    "    }).T.style.set_caption('Is there missing information?'))\n",
    "\n",
    "display(pd.DataFrame(\n",
    "    {'offer received':\n",
    "         transcript_df.query('event==\"offer received\"').isna().all(),\n",
    "     'offer viewed':\n",
    "         transcript_df.query('event==\"offer viewed\"').isna().all(),\n",
    "     'transaction':\n",
    "         transcript_df.query('event==\"transaction\"').isna().all(),\n",
    "     'offer completed':\n",
    "         transcript_df.query('event==\"offer completed\"').isna().all()\n",
    "    }).T.style.set_caption('Is there event with extraneous information provided?'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to these verifications, there is no missing nor extraneous information in this dataset.  \n",
    "\n",
    "Now, we neeed to verify if there is some inconsistent values in it."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "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>transaction</th>\n",
       "      <th>offer received</th>\n",
       "      <th>offer viewed</th>\n",
       "      <th>offer completed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>event</th>\n",
       "      <td>138953</td>\n",
       "      <td>76277</td>\n",
       "      <td>57725</td>\n",
       "      <td>33579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       transaction  offer received  offer viewed  offer completed\n",
       "event       138953           76277         57725            33579"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>reward</th>\n",
       "      <th>channels</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>duration</th>\n",
       "      <th>offer_type</th>\n",
       "      <th>received</th>\n",
       "      <th>viewed</th>\n",
       "      <th>completed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ae264e3637204a6fb9bb56bc8210ddfd</th>\n",
       "      <td>10</td>\n",
       "      <td>[email, mobile, social]</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>bogo</td>\n",
       "      <td>7658</td>\n",
       "      <td>6716</td>\n",
       "      <td>3688.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4d5c57ea9a6940dd891ad53e9dbe8da0</th>\n",
       "      <td>10</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>bogo</td>\n",
       "      <td>7593</td>\n",
       "      <td>7298</td>\n",
       "      <td>3331.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3f207df678b143eea3cee63160fa8bed</th>\n",
       "      <td>0</td>\n",
       "      <td>[web, email, mobile]</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>informational</td>\n",
       "      <td>7617</td>\n",
       "      <td>4144</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9b98b8c7a33c4b65b9aebfe6a799e6d9</th>\n",
       "      <td>5</td>\n",
       "      <td>[web, email, mobile]</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>bogo</td>\n",
       "      <td>7677</td>\n",
       "      <td>4171</td>\n",
       "      <td>4354.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0b1e1539f2cc45b7b9fa7c272da2e1d7</th>\n",
       "      <td>5</td>\n",
       "      <td>[web, email]</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>discount</td>\n",
       "      <td>7668</td>\n",
       "      <td>2663</td>\n",
       "      <td>3420.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2298d6c36e964ae4a3e7e9706d1fb8c2</th>\n",
       "      <td>3</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>discount</td>\n",
       "      <td>7646</td>\n",
       "      <td>7337</td>\n",
       "      <td>5156.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fafdcd668e3743c1bb461111dcafc2a4</th>\n",
       "      <td>2</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>discount</td>\n",
       "      <td>7597</td>\n",
       "      <td>7327</td>\n",
       "      <td>5317.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5a8bc65990b245e5a138643cd4eb9837</th>\n",
       "      <td>0</td>\n",
       "      <td>[email, mobile, social]</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>informational</td>\n",
       "      <td>7618</td>\n",
       "      <td>6687</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f19421c1d4aa40978ebb69ca19b0e20d</th>\n",
       "      <td>5</td>\n",
       "      <td>[web, email, mobile, social]</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>bogo</td>\n",
       "      <td>7571</td>\n",
       "      <td>7264</td>\n",
       "      <td>4296.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906b810c7d4411798c6938adc9daaa5</th>\n",
       "      <td>2</td>\n",
       "      <td>[web, email, mobile]</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>discount</td>\n",
       "      <td>7632</td>\n",
       "      <td>4118</td>\n",
       "      <td>4017.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  reward                      channels  \\\n",
       "id                                                                       \n",
       "ae264e3637204a6fb9bb56bc8210ddfd      10       [email, mobile, social]   \n",
       "4d5c57ea9a6940dd891ad53e9dbe8da0      10  [web, email, mobile, social]   \n",
       "3f207df678b143eea3cee63160fa8bed       0          [web, email, mobile]   \n",
       "9b98b8c7a33c4b65b9aebfe6a799e6d9       5          [web, email, mobile]   \n",
       "0b1e1539f2cc45b7b9fa7c272da2e1d7       5                  [web, email]   \n",
       "2298d6c36e964ae4a3e7e9706d1fb8c2       3  [web, email, mobile, social]   \n",
       "fafdcd668e3743c1bb461111dcafc2a4       2  [web, email, mobile, social]   \n",
       "5a8bc65990b245e5a138643cd4eb9837       0       [email, mobile, social]   \n",
       "f19421c1d4aa40978ebb69ca19b0e20d       5  [web, email, mobile, social]   \n",
       "2906b810c7d4411798c6938adc9daaa5       2          [web, email, mobile]   \n",
       "\n",
       "                                  difficulty  duration     offer_type  \\\n",
       "id                                                                      \n",
       "ae264e3637204a6fb9bb56bc8210ddfd          10         7           bogo   \n",
       "4d5c57ea9a6940dd891ad53e9dbe8da0          10         5           bogo   \n",
       "3f207df678b143eea3cee63160fa8bed           0         4  informational   \n",
       "9b98b8c7a33c4b65b9aebfe6a799e6d9           5         7           bogo   \n",
       "0b1e1539f2cc45b7b9fa7c272da2e1d7          20        10       discount   \n",
       "2298d6c36e964ae4a3e7e9706d1fb8c2           7         7       discount   \n",
       "fafdcd668e3743c1bb461111dcafc2a4          10        10       discount   \n",
       "5a8bc65990b245e5a138643cd4eb9837           0         3  informational   \n",
       "f19421c1d4aa40978ebb69ca19b0e20d           5         5           bogo   \n",
       "2906b810c7d4411798c6938adc9daaa5          10         7       discount   \n",
       "\n",
       "                                  received  viewed  completed  \n",
       "id                                                             \n",
       "ae264e3637204a6fb9bb56bc8210ddfd      7658    6716     3688.0  \n",
       "4d5c57ea9a6940dd891ad53e9dbe8da0      7593    7298     3331.0  \n",
       "3f207df678b143eea3cee63160fa8bed      7617    4144        NaN  \n",
       "9b98b8c7a33c4b65b9aebfe6a799e6d9      7677    4171     4354.0  \n",
       "0b1e1539f2cc45b7b9fa7c272da2e1d7      7668    2663     3420.0  \n",
       "2298d6c36e964ae4a3e7e9706d1fb8c2      7646    7337     5156.0  \n",
       "fafdcd668e3743c1bb461111dcafc2a4      7597    7327     5317.0  \n",
       "5a8bc65990b245e5a138643cd4eb9837      7618    6687        NaN  \n",
       "f19421c1d4aa40978ebb69ca19b0e20d      7571    7264     4296.0  \n",
       "2906b810c7d4411798c6938adc9daaa5      7632    4118     4017.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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DFydsl3HZi38Kb7JmWpG97fMUt6tHdhzDE62pEzrmyY5iBFYAfwbKbpYdCGOyuOzF34D3iJJImXEMlPg/EfR+SZj4GqobFcATQNm9sgNhTBZ7qeM6AK/B+96vHyLr89NuaNe1TRNR8tNCrXz+L4Cyf5MdhFE4YbvIQLL2gOw4RkNAzITGw/tkxzGcmNg+h6LA7KX0rQBe4aSNjUcue/GPADwNwBRvyPEdZxeqrr6g3viQIvqC2Z9k/+U9q42x8cVe6lgD4HUYtL2lR4ss2JpeEI5nswnKT5suO4gA/DNQ9mvZQRiBE7YBLnvxTxACydqgzDMOj+wYhpMzsUXfUSzjDM608T4PNm647MVfA/A7mGjJNwGxufU79wazT0URzmD2ZwL/C5R9S3YQjAWLvdSxEsBfARh63uKW9ILZXVrkeSP7CDqLUk0x1mTZYQToP4Cyn8kOQm+csAFw2Yu/BeC3suPwR3RPyxzyuPtlx3El0ZGW0RFKJaUtAF4CylbIDoQxo7nsxdcBeBImStYGpTdUTgpmiX91/CVsAPAYUHab7CAYM5q91LEUwJvw8UDsMSFKeiHv+irD+wkiykk4KzuGMSoByn4gOwg9jfuEzWUvLgLwiOw4/EVAQsr5I/tlx3G56Oj+A4oiTFVZ0wcRAF4HyqbKDoQxo7jsxQvh3bNmyuXKivBMmtBY/UnQ+lM94y5hEwI9b56I/UWJo4IHqFjYspc6pgIog44FRkZzLippRXVCTlBXCRiJ5qcbn+ga7yGg7E7ZQehlXCdsAwfFvgaT3sCMJuv0ftNtms+a2BqqP1MpAN4EypJkB8KY3uyljolb0gv+HUCs7FhGMrnu46BdP1TVY9pl5UYQAo0vH0s4UdUWuQzAGyWOimmyY2JMb/ZShw3AJniP8Qmq13LXJLhJMeHKJ785aWbqLNlB6IAAPA2ULZEdiB5C9eZ6zFz24mR4f6ltsmMJVGxX02wIj1t2HJ8R3RmZbWauDjmagQS+LFT24DE2KnupIw5A2daMBTe+MvmazbLjGYnF2b0wput8UMpka9r4SdjcAnVP1yR2n+q2DN6EJQN4s8RRkSIzLsb0ZC91aPCuIpgho3+3ok4unbTqIxl96ypSqySrGg4zbAAQJQRef/PE5mzZgYzVuEzYXPZiK7wza3myYxkLApKTm4+bZllkZJRzv6oKs56/5qtCAI/JDoIxPdhLHQTgBQD5AFCdOKlo46zbtrtIMWWFRAJo6tGtJ4PRl6Z5grZfTqZ+Nx167HBSdEu/Numyb+UB+FOJo2Jc3gewsPQAgDUyAziUOHlZY2TicZkxjBVNsTXLjkEvQqDjnVOxJ6raIt8ocVQYWnzGaOP1Qv17AKtlB6GH7NP7OmTHMCgruzVcRqy/EY4Vhti4dB+AdRd/4Xxk4orfzf1yVbcaYco35YES/21G96NpbtMVXtFbp5M+eeRw0sRul5I6zFM+B+AfgxkTY0awlzrWA/g/suMAUcRzeTeY8trqKyrICNXqkJdwC5x4/khiw6HWyCUAFgJ4VHZMYzHuEraBktZ/LzsOvcR1nJsRzMpqwxN9mdlt+bKj0NF/h8u6ZzY+DZS0HvIQ0V4tYv6GuXe1N0Ym1AU5rFEFq8S/ZvGEdcLW1Ktuf/xw0nynh0bbt/ibEkdFYVCCYswA9lJHAYCHZccxqNsStXB7Wv522XEEqJOm2GbKDmKsely099GqpJhzvdrFK+m+VuKo+Im0oMZoXCVsLnvxDAB/kB2HnggiLbHtpEN2HBERrv2a5glaRaYgsAiBP71zcnOC7EAY85e91JEM4EUA6nDPcStq7qMzb4urjc8yzbLqQekNlbkQwtAZe01zD/tvE+qOdVjKn61NXO4B+VJQSwXwQomjYrhZOMZMy17qiATwPLznqprG5oxFM7rViBbZcfgtzlpJqhKShfgGne7WtjxSlTSnx60MVUTuv0scFSE5uTBuEjZ7qcP60Jwv/WeLNdbwpTbBln1qr/Tp98zsVlPuiQmUR6Ch7ERcy8HWSN7PxkLR0wBG32RNlPTSlLUzKibMMdVGeUV4JqWdO7zbyD4sFk/YJWxCwPPp+cjyv9QlFALkzwxiJoA/ljgqwnrWkYWl/wEwW3YQVyBKeTHvOumD6f6i6SndsmMIlBBwfdIUueVPRxNXjzBYFQHvtc5UCb4vxk3CBuDf26yxtz08+47YXSmzdsgORk8J7aclnx8mnFk5rXPlxqCfTqfyyaNVSWpNe8RCAF8qcVR8U3ZMjPnKXur4GS7btzYiooi/ZV617I1JqzcbFlQAcus/NjSh0jS3ZmT7wSYE+jafjfn4wzOxgS5vvB7AvXrGxJiR7KWOG2CGfWvDOBuVvLI2Pnuf7Dj8oSzIyJAdQyCEQMtfT8Qd2HI21pf6FPMB/KvBIeluXCRs9lJHIYCfAwCIEt7NWbrsiRk3betXtC65kelDESI7vv1Mpaz+rVb3fovFkyirf70Igf59zZHljx62Lep2KxeXu36wxFGRKysuxnxlL3XMAPD//H4hETmSphY9PuPmbW6QKQ6Utjp7FsZ0Nh0xqn3N4okwqu1gEwJtpfVxlZ+ej1o2xqb+vcRRsViXoBgzkL3UkQLgKXjP2jInIvrz5DWxZrmmjorQiMy4kDuf0eXBkWdqE9tr2yMW+PGyX5Y4KpYbFpQBwj5hG1jf/AQu+7uejU5ZWZL/lXMnYyZUyYlMX9mn9jbI6js9sy1kp9AHuT2oe/lYwpG/nY4dailRLLyVRRkzLXupQ4H3WhcZaBsN0ckrN8y960CvajXF0vG8o1tPG9W2prnDImHzCJx98WhCw5GOiAIdmtMAbORS/ywEPAYgXXYQo3Er2tSyUDmbLSm6hsivpdTSdTqVTzZWJaU2911xbMloVADPljgqQua8ufFwUf4VgCGXDLoVdfIz026c8lbOsnIBmKDSYuBsrSf8/WHViXDnTGyZNfrzzKupV93+h6qkpIsOlR3KjSWOituDFhRj/vs+gBVjbaTbErXwt3Pvamq2xgXlPLSRxHU2LNQMKvGvaaE/w+by4OhT1TbX2R7LdB2bXQTvzxJjpmQvddwG4FbZcfjKYZtydVOE+SryXo5mp7plx+CP4x2W8kcP2xb2e5T4AJuYCuB+PWMyUlgnbPZSx1SMtiafyLonZWbhhrl37e7QohqDE5n+FOGZHNPZWBvsfi0W9wFrhDtl9GeajxDo3NYQve3ZWtuKfo/iS4XL35U4KsKpEiYLE/ZSRyYCWQo5DLeiTd04+/aI47HpB/VqMxAExOTWVRhS4l/TPCF9iGqfmw48ejjJ1uZURy8u47//KHFUpBnQLmNjYi91RAEokR2HX4gin5t2Q5PsMEajFKRPlh2DL4RA3/aG6G2veYsrjTWP+U6Jo+IqXQIzWFgnbAAego/Lgzot0YsfnHsXOWxTPjE4JsPknNob9BHxtIz29mD3qYd+NyqfrU1s3NkYvdKPl2VhmHOtGJPstwACHWUckiBKfT7vhim7U2ZU6Nmuv9LOHZ5iRIl/VfNE691msLT3KzsfqUrK63UrNoO6SEAIjTyzceVeALmyg/BXlyV6kdmq8V5CoXpKijZi8EdXHoHGV4/HV3/s373bSAje90/TC9uEzV7q+CKAG/x5jSBKeWPS6kXP5V1f7ial36DQDJPUUpcZ3B6FyJnUoudSnKCo77SUP1yVPPV8nxbIaNKPShwVeuwVYUwX9lJHEYAvGdI4UdTb2cuWbMpZXm5I+z5QhCcn7VyV7gNpqhqaCdvZbm3rE9W2RS5BRs8QfrXEUbHG4D4Y85m91JGLEK5k+kHmVdN6TLI/+ArpsaZfstnvQdWT1TZnfZdV73PUlpc4Ku7SuU3dhWXCZi91xCDQjJmI6uIyC+/P/8rRc5G2Y/pGZizV45oe1d0StF86TfM4IiNdpt/0O0gInH/7ZOyuPx9PKPQICvQMDhVcgISZy38b2jqRsjdlRuHT07+wxQOSsscht+5jnQ9yFT1Eoff+V91m3fzC0cRVAhSsM+QeLnFUhPQhuiyslGAMRZVkE0Spf5p6nSnL/Cv5aaY+5qS1T9mxsTJ5YrtTNWpi4r9LHBWm/tkKuTcsH/0IQM5YGnCqlpmPzbxlwuaMBdt0iikosk/vDVqSOSG9Q/qB3b7qdtGnjx22OQ+1RuqxVnl5iaPiCzq0w9iY2EsdtwNYEoy+TsVMWP3gnC992qdYOoLR38Wsrt4FOu/RDakjXYSA++PGqK1lJ+KLgtz1THABEmYC9lLHWgC3yY5jrE5Hp6w6Gpd5QHYclxGUn2bK1VJCQBxus25+ssa21CXIyFURkwAUG9j+mIVdwmYvdcRh8My1sSKK2Z5esPLhWbfvMO009mVSzh+dEKy+Jk5qlnxg9+iEgKuyNWLzxqqk+Z0uVc/ZwH8rcVSEVPlbFl7spQ4NOhYa8UWnNWbxb/O/fLrNEnMmmP0CQN7Rrbr1SYRevdoymhDoee907CfbG2JWSQrh3hJHRchX1GQhL6jXOsMQ0StTPhfpAblkh3KBRamhGGuy7DAuJwS6PzwTU7HpRHzREMctGeFXJY4K0x4cHnYJG4AfA9D1B68lMn7ZA/l3d9bGZ+3Xs10jqG7nrIjedsPOLrrQj+o5FBXtNPUGVY/Aydfq4ivfOhlXpEMlocstRAiVFWZhaT2AoI+KuhRtxu/n3IGT0amHg9lvXOe5RZqzt1WPtohEjx7tGE0ItLxWF1/raIm8WmIYmQD+XmL/bJyzlzpuABA2B7q7FG3apokrtsuOYxDlJAR9AG40HoHTfzqWUL+3OWpZELuNBfCbIPbnl7BK2OyljngYNKUpSMl6acraOa/mFm2WtY/DFwRQ9un9NUb3kzqh45zRfYxFa59S8YfKpLi6Tt03p17MzrNsTIaB0tbS3lgEKRnPTP9C1v6kqbuC1ScB0ZPrKnTZ/0GK6NOjHSN5BE49dySx2eBrmK/uLXFUBLrvl7Gx+mfZAehtf1LeVc0R8SdkxwEAND/dVIdH97npwGOHkyxnui0zJXT/TbMeaRJWCRuAnwIwqswxQKRW2SYXPZB/98EWa+wpw/oZo9SmmkSj+5iY25xrdB+BEAI9OxujtjxZk7S0z6MkGNxdPoA7De6DsaF8C4DcpRtEsX+duGrhe1lLglZBcsK5w1MhPGMeMFMU4dQjHqM4Pah5otqmNPZqZll2ngPgm7KDYOOPvdRxDYDlsuPQHVH0H/NuaJAdBgAnzUydJTuIQY096raNVUnTu1xKqqQQIuBdqWc6YZOw2UsdCQB+Foy+erWIeQ/PviN2V8qsHcHoz1+aqy/f0t9l2CHgiuKpjontzzWq/UC5PKh9/kjCqW0NMauD2O1veJaNBZO91KHCLJujidSdE+YUPpd3Q7kAdD8r7XIKRHZ6w9hL/KsmTth6XLT30aqkCR1O1Wx7Ke4rcVSYupIcC0thN7s2qNMas3hnquT7yEjtEFlV6TNsQsCzvzmy/I9HbCvdgmTvmf1+iaMiVnIMVwibhA3eNfaGzyxdQJTwbs7SZU/MuGlbv6KZquIYAUrW6QOVRrWfktpp+B45f53p1rY8XJmcda7XkhfkrmcBuDbIfbJx7GZ65ws2tJpqeVpdXEbh72d/aVc/qd1G95Vbv3PMf3dF9ZgyYWvtU3Y8ejhpVhBWBwQiF8A3ZAfBxg97qWMlgCLZcRjp/awlU3olFrWjKUm67AseCyHQ/tbJ2D3vn44tlB3LABuAf5AdxOXCImGzlzoIwPdk9H02OmVlSf5Xzp2MmVAlo//hpDUeNmx0YGJus2mKjQiBtg9Ox+x48Wji6iAcJDucH0jql41D85VD9/5QeSrjB8pTOybhxEHZ8Qxqi4i9+nf5dx/vsEQZur/V4updENvZOKZ9uqrqMXw20F8nu7TyJ2tsV5tgdHkk9/KKAhZE+lT8NjFBStpLU66VdjYbLUg3bhuRD9we1D13JLGxqi3SbEVlfma2FQVhkbDBO8MR7JmVC9yKOvmZaTdOeStnWbkAhKw4LmZx9szTnL0terdL5DkaF98n7d/6Yr1uOvBkta0jyFWEhnJTiaNiTOf+MeYLz6b1iwAsJ4KaTK3LvqH+ec7PlYf3L6T9FYCQnoT0q5bZD825s/9MVItR5rQAACAASURBVLKeZ6ZdIe/olrNjeb2mmSthO9gSsfnlY4mFBlSz1dt0AGtkB8HCn73UkQ1gnew4guFkzISVx2PTZQy+ddJkm7T9a90u2vPI4aR4E+3VvVgOgC/LDuJiZn9z8JWU2bVLEFn3pMws3DD3rt0dWpRh+8d8DgfQMs46dL8AJKd01evdpr+EgKe23br5D5VJs9qcqhlm+1QA35UdBBsXfnT5F6Kob94XlL8t/bWy4cRa2rzFgn6pS7Q9pGQ/OeOm1EOJubuN6iO2s3HRWAakNM1jioE1IeDa3hC97Z1TcUWyY/HDd2QHwMaFf4D3vTX8ESkvTV2rBf1striISlIVS1D7HHCqS9vySFXSvF63InWGbxSmKj4S8gmbvdSRCeBm2XEM6rREL35w7l3ksE0Z88b4scpoqNR9n8vE3GY9D5/2m0fgbGl93L7S+vgiATLTdPXfc9lrZiTPpvVJGGHETyXPpKXKp6vvVX7vvEt5fXMcOuRVICNK+Etu0fzNGQu2GtK8t8R/wOdiappb+rI+IdD11snYvR83Rq+UHYufbitxVMiq4MbGAc+m9cqXldcLktFcJzuWYHEp2oy3c5YF9Ww2mpFs+J7jywkB587GqC0vHUtcbbJ7uKFcVeKomCM7iEEhn7DBOwpjqv90QZTyxqTVi57Lu77cTUq/rDis/V3zVVd/h17tEYn6hMReGediAAA6nMquR6qSLEc6IhbIimEEaQBulx0EC2u3wVtyeERESJxOx4p+ojxu+47yx22ZOFsdhNiGCkTbnl6w6qUp1242Yqn4WEr8axaP1IRNCDS9ciyhzoT7NnxhBfBV2UGwsHbtNDp28/eVZybeo2zcu5Q++UiFy/RnJ47Vp8nTFwfzyCilICMzWH0BgBBoLq2POxjkSt5j9U3ZAQwK6YRtoNjIt2XHMSQiqovLLLw//yvHGiJtR6WEAESkN1Qe0Ks9W1K3lL+HEOjfez6y/LHDSVf1uJVkGTH4iCuoMSP5deYfEaxp1LRyvfri9HuUjZ/OpcpPABH0pYC1CTlFG2d9scJFaq+e7XpL/FcGtJJB09zSllq5BeqfqU3sOtltmS0rBh3wtY4Z6e8AgAgUQz0Fa5Wty+9THuz+uvLKlgw0jKngkKkRxTw37fPBSdgIjciMC1o9ApcHtU/XJHYe6YgoCFafOvlaiaPCFEtzQzphA7AMwETZQYzEqVpmPD7zlnSjlgaNJuPsQd3+jyfmNgd9GYzbg+MvHUs48sEZ05R7Hcm1JY4KMyeULER5Nq1PBnBNoK+PoZ4FtylvL/6V8uDRIvpoW7BHq5sjE5b9du5dNV1a5Hk9282t3xUZyOssFo+UN+B+NyofP5wU1dynTZLRv44WmGmpEAsfnk3r4wDcevnXiWDLpZOr/159YdovlN8fLKKPtlnR3ykhREO1W2OX7E6Z8bHhHSVF1xBRUFYatPcrOzdWJaW19Gumvl8fRjpMUmgp1BO2L8kOwCdE0dvTC1Y9POv2HT1BPm8jsq99nuJ29Yy9JXEm0dYd1BHhxl5128NVySmnuy3Sqhj5SQMvi2TGuBU6LP22kHvqKuXjlb9SHmz/Im3aHI1uXROokfRpEfkb5tzZeS7SdkyvNi2u3vmxHQ1+L/nUNHfQl9F3OWn3I4eTc7pcSrjs//q67ABYWPoSgOiRnhBJ/XNWKR+v/KXye6xXnt+ai3rTHG+ih3eyl07sUyy6bWcZCs1ODUql3KPtls2PV9sW93uUuGD0ZxBTVIsM2YRtYDnkHbLj8EdLZPyyB/Lv7qyNzwp4s7y/CIie0Hh4zGd8JNp6aogQlNEYIdCx9Wz09j/W2lY6PWS60+ZHEVI/kyxk6Do4pRBS5yjVRfcoj0R/W3lxayqadEuiRuJR1EmPzbwlsSY+W7dzh/KObvX73DfN4gnqWWdNver2xw4nzQvB69lITFPsi4UVn5d+EyE2k86t+rr66pxfKQ/WXE8fbolEj/SDoMdKkJLx8pTPfWpkH0pBeq6R7QuB3i1no7e/Xp9QFALHlYzmi2YoKhfK/4iLAJihpLtfBClZL01ZO+fV3DXlHlBAG+b9lXnGMeZ+Jk5qTtAjltH0u1H5TG1i866m6BXB6M8ARSWOiqD8W7HxYaA65OeMaJsIUVl0dtV3lT/m/lh5bOd0HNlrRD+XdWp7ecq1sz6akK9LRbTYrqZFmrOn2Z/XaJo7aAnbsQ7L5mdrE5d7QFLKZxtoVomjIhSXODGT8mxabwWwKpDXWsg1bYmyd/XPlY2R31Oe+WgGaj+VsWdXL/Wx6SvrY9IOGdK4QvWUFG3Y/bNHoOGV4/FHPgnd+7jL2QAUyQ4ilBO20B3dI1KrbLmFD+TffbDFGnfS6O6ie1rmksc9hmqVojEppStfv4iG6EFA1HVayh+uSp4a4vs7LAC+IDsIFlZug8GVcIlACdS55C61tOBe5aHKZbRrO8Fj3JlARNYPsxaveC23qHzMTQFRU45X+FVcSdOMn2ETAmLv+cjyv9QlFAHB2SsiwQ2yA2BhZSlGWQ45GiJEplLz8jvVvy74tbKh/mZ6uzwWnX7PwktHpPxp6loyZGA/Pdaw4xL63ah8otrmOdllDbc9rtfKDiCUE7abZAcwVr1axLyHZ98etzN19g4j+yEgIbXpSMBLkOITequIjPtZEQJNb52M3f3q8YRCjyDp0846WCc7ABZWgrrM1krOWdcq21b8WtnQuI7eLY9Ar2H7bittkwsfnXnr9rEefzKhsXqaPyX+Nc0TNZb+RiME+svPxuwIkWJJY8EJG9OTrisJVPJMmq9UFv5UeSzpR8oTO+fRwV2EwI4CkcGpWma9m3217mezKflphgwANvepH22sSs7tcKoZRrQvmfSEjUQIzhjbSx0pABplx6GntO7zW79R8+ZCq8cVY0T7nTEpWz+df0dASw3mzDu1Z0Ja50K9YwKAbhftea42MavTpaYZ0b4kp++ZuzRLdhAs9Hk2rdcAtAIw5LrgCyHQWYfs3WWetVNbkGjIMpooV+/e7x96NTfK3Z8YaBu1k1dWnMmYu9SX565aU9OpaR5D9pMJgfa/nog7UttuyvMi9dYOIPmeuUuNm41luiKiAxjhXEQhxLwghnMJz6b1WwEYepC8R9CZakypft+z2rDrma6E6Pw/B1/pSHB26ZUECfXnK5opxqpbRWshIKraIra8dTIunAeoBIDUe+YuDVqhrsuF6gxbuKyLvaAhOnlVSf5Xzp2MmVBlRPsxXU1zAjtkVjSnpHbqfgEXAq6DLRHlG6uSCsIsWQOAzBJHxVTZQbCwMA8SkzXAu7E/l04W/lB5KuOHylMVk1Hv0LuPHi2y4Hdzv9xyPiK+PtA2Jp3Y5fNSKlX1jGnZ1XA8Ag0vHk04M06SNQCIB7BcdhDML+vgXaH09sDjqwOPNwH8WVZQnk3rowFcbXQ/ComMmXSk8IfKU1k/Ux7ZvYQ+3aFiLFtGDEYU+8dpnw/4ungFi1Ktc7LW9bfTMR+HebIGAIQxHK2jh1BN2AwdgZHFraiTn5l245S3cpaVixFGwAJBQFJy83G/q1PGxvUdVBR998+4BU6+ejy+6p1TcYVhUD1oOKtlB8DCgmluhomgJlHr0q+pr879hfLwgUW0rwIQupWGdivq5I2zvhh9NC7Tr/1ogyyuvnlxHWcPj/5M0WPEEm+XB8eerrE5z/ZYZujdtsnxssgQIoSoE0LUAVghhPilEOLAwONXAK6XGNoqePeABwURKJa6F12vbF52n7Kh/avKq+VpaDwSrP790RYRd/Xe5Gk79WiLchLO6tEOAHgETr54NOHU/pYon1Y2hAGpyyJD9WY5LBM2AACRdU/KzMINc+/a3aFF6brsM/v0Pr/P9ciZ2KLrXo+WPmXHxsqkuPou61w92zUhTtiYHpbJDmAokdSXf6PywdJfKxtOXkebyy3o79KlYaKUF6deN21XyqyA9vXmHd3qyzVTn1gv0ucmx2OHkxJa+1XzL7HSnyEVTJnhYojowr0UES2H3Nl8abMXREiZQvWF31Gfm/pz5eEDq6himwXOblnxDOXNnOXZfYo25oPCaX66Lv/HPS7a92hVUuTZHst0PdoLEVITthH3sBHRiPuWhBB7dI9oFPZSRxS8ezrCoTjFiEiIxpvqttTltxxdrEd7AtSwbdl3JsDn0+1FW+HnqqMUZez/1kKge2dj1O7t52IC2kcXgo7cM3dpnuwgWGjzbFp/DECu7DhGIwRaazF535uea6a3I37sey2EEPOaa7fcVL/Nr2U2Auj9+Kq/63JaooZd8kMkThZdW61bYtXhVHY+VW2b6xJkyDLLENALIPaeuUtDppgDA4hoEYAnASTAu6KnDcC3ZdzXAYBn0/pdAHS519GDEGg/hfR973tWp5xA1izZ8QBAbvvp8q8eeWcsSw+d6n2r+8mqjilpa+hRt754NPHqMCkS56+J98xdekJGx6PNsN0/8Pg9gI8BPArgsYGPNxgb2rCWYBwkawAgiFJLJ61e9FzeDeVjraIGAASRZms94fNyo5iYfoceyZrTg5rnjiSeGUfJGgBMLXFUZMoOgoUuz6b1GQiBZA0AiJA4jY4V/lh5IuW7yrPbs3DGh6WJIzZI+5OnFT4x46atHpDPBS0IiJx8/KMR99gRiZ4xxXaRhh516+OHbYvGcbIGAJEAxtMoe1gQQuwWQsyHd59sgRCiQGKylgjAVPs+iRCfTWdXfVN9eda9ykNVa6l8i5EVc31xPC5j5cno1MCvrVFa5ViSNSHg3ns+csvzR2yrxmmyBgDzZXU8YsImhFgjhFgDoA7AQiHEYiHEInh/sWqDEeAQTLOnIyiIqC4uo/D+/K8ca4i0HR1rc9mn97X4/NyJLWPeu3aqS9vycGVyTmOvNh6LcJhmtJCFJFMuhxwJESwT6PyKb6t/mnGPsvHTfDq0ayyH156NTlm1Ye5d+3oVS7uvr5nQWDsdYvgz5EgRfYHGc7GaNuvm54/YVgmQqkd7Ia5AdgDMP0SURkRPAHhJCNFGRLOJaL2kcJYBMO3vkZWcM5cqe1b/QvmD9bvKs9vzcDTgY5LGhEh9Me86twAC2jtMU5KaA+1aCLS9eTJu7wdnYsf7dg9DzyQeia972GYKIS7MzAghHJB3gZ4tqV+pnKplxuMzb0nfnLFg61jaiW877WPiJDrTMtoDHkkQAq3vn4qpeOlY4mq3oMhA2wlxM2UHwEJaSA9OxVDPgluVd666T3nwaBFt36rB1RtIO12WqEW/y/9yQ4s19pQvzyeIjMwzB3cN931FEc5A4hgkBDy7GqO2/PVEfNFY2gkz0kadWcCeBvAOgMGVINUAfioplpCYoSVC1AQ6v+Ju9Y359ykbjn2B3iuPQVdQj5jqV62z389asi2Q11JBelIgr3N7cOzZ2sTmw20RiwJ5fZiRVn/B14StkogeJ6IiIiokoscAVBoZ2AjG700wUfT29IJVD8++fUePag1oal6ByI5vPzPq/11UtPOAqoqAEq1eF+1/otrWPY4qBw3HFOveWcgy1RKhQGnknrpK2bnqXuXBji/Sps0x6Grytw2Xok37w+zbtfqYNJ/edyae2DXsGWvqGBI2IdD7/unYXVsbYsb7KPPlOGELPSlCiJcxMFsjhHABkLUPcYqkfgOmkXvyQsVR+DPl0cQfKk9WzKWq3XpWzR3JztTZBe2WaH+rPXbQZJvfEx5dTtq9sSop6XyfNtnf14Yp08+wfQvAQQA/gXcE5tDA12QYbyWTr9ASEb/sgfy7O2vjs/wu0w8A2af2Noz2nKwcn1dOXiAEPNVt1s1/qEqa0+5Uef8WJ2whg4geJKINwz0khZUrqV9DKITUOUp10c+UR2PXKy9snYBGv5Z4C1LS/jjt85N8KW9tcffnx7WfHfJMS0X1BJSwCYHWv9TFVx9oiTT8rKgQxAlb6OkiomQMHCFEREvhLTwiQ8glbIOIYEmitqW3KW8t+rXyu9NfpE3lCWg7bXCn8c9N+/xxv14TF1FFquLXNpcTnZbyRw8nFfR5lAS/+gpvM0scFUE7fuJiPiVsQoheABsB/EoIcZsQ4oGBrwWVvdSRASAu2P2akSAl66Upa+e8OnnNZg/Ir1ExW+uJSaO03pOR2ebXKIJH4Mwb9XH7y07EF/GejgvG72xw6PkEwG54CygsBFAz8CiAhFFnz6b1CoCcYPcbDESIzKSGVd9Rnpv8E+WxXTNQs9ePF0dvylmx+J3sq8tHe2re0a1DzuSpqsfvUXCPwOnnjiSeP95pnefva8eJjBJHxQTZQTC/3AOgFMBUItoO4FkAP5YUS8gmbBdTSWTPUaoLf6Q8mf5T5dFPFtG+jxW4x7QEezgtEfFL9ydNHXbp9+VoRrLPxxQIgf4d56K2vnI8oZDv565ggaQlvD4lbER0M4C9AN4e+LyAiEqNDGwY43527RJEalVibtED+XcfbLHGnfT1ZYrwTI7tbKwZ7vuRka79miaGXVJ0ufZ+ZecjVUkRRzsieOP5pRJKHBVjL3HODCeEeEYI8QyAaQDWCCEeFEI8CO8ZUzJ+rjMRxENkZSACxVPnVXeqZQX3Kg9VLadd2326uSFSPkmdXfjstM+XjzRYFdN9/ipLf/cVSZum+ZewOT2oeaLaRuO0cJI/+P05tBwEUAjvXtnvApgDYMhZ6SAIq+V2RFDiqGvxjcoHV9+nPNh6t/JaeSqajundz6aJKzP6SfUpEVMKMnxa9SQEml6vi6/cMb6qevtLyrJIX5dE/gbecvqtACCE2As5y3V4xmIIvVrEvIdn3x63M3W2z4fNZp/aO+wG/szsVp/KaAuBvj1NkeWPVyct6XErAW1mHQf4Zza0ZOLSWfxYfLYpP5hGmQUPL1Zyzvycsm3FfcqDTTfRO5sjfSiffSI2vfChOV/a3a9oQx6ETUDElOM7Dl7+dU3z+Fy1cuBw2AkdTpUHXkaXLjsA5pcdQgiXEOKgEMIhhHACCOjA+rEYOL4kKtj9BotCIjWP6gq/p/5xcrHyh33Ladf2QAswXc5DSvarU64ZfZaN0IjMuFHPhXV6UP1kta33WKeVlziPbKKMTn1dz+oaKPtqaDA+CItpc0MQJbyXffWy/Ul5W79R8+ZCq8c14lkbSS3Hs4b+jujPzG4dtQqOy4NjrxxL6D/TYxnLIY7jwTD/zsyk/gvAp0T04cDnhQD+VUIcuRL6lE4hkVFAhzLmi0Od9cgqL/OsndIM27BLQzusMUt+O/fLVd+rfC0x3tl9RcKQ2lQ7/fC0NS7QZ3s3NM3t0xtZa59S8UytbYFbUERgf5txhxO2EEBE6fC+L0UR0QIAg78P8QBknCc4bu7roql3/udoG64R29pOIHPn+57VaaeQMaaZ6aNxWStORadUZ3U3Db9MLym6hohSR2qnrV/5+Nla2xynh3xeXTWOSVn+7esMm4OIvgJAJaJpRPQggI8MjGs4KRL6DCkN0cmrSvK/cu5kzIQRlzaoHve0qO6Wusu/bo1w7bdYPCNuMD3Xo277Q2XyhDM9Fl4CM7oRL5LMXIQQTwG4GsBfBh7LBpZKBtu4mmG7HBFiJ9Gpwh8oT2f+UHmyYjLqDgz3XKdqmfnQnC+JU9Ep1Ve0A5GRecZxyQi0ZvGMmrCd6tK2PFljW8LJml/SZAfAfHI9gP8FkA2gBMD9A4+fAfi1hHjGTcI2iAgJE+n06m+rf5rxS+WhQ9fQtq1W9HUE2Jj2Yt71/WKgeMyQT5mTOuI+7Np26+Ynqm1LOFnzmakTth/Bu765D8AL8FYSknFeR7KEPkOOW1EnPzPtxilv5SwrH+mXOPv03ivWVGdmtfUM93wh0F5+Jvqj547YVjoFjTiDxy7gQYYQQt5lBNcCmC+EeAOAlYiWSAglV0KfpkMENYnaln5NfS3/F8rvDyymvRUEzxU3H4KUjKenr8tw2KZ8cvn3Jp345JKbEE1zj7iJ/lBrxOaXjiWuBsjX90fmxTNsIWBgv+4aAN8UQqy56HGLEOI1CSGNu4TtYhHknL1C2bXql8rDyj8oz22bguMOf9voU61zP8hcPOwZvcr8jCH3CAqBnvIz0R+V1scXAfKX0IUQKYNTvr4hzRBC/KMQ4qqBxz/JqBIJgPdJ+YrIuidlZuGGuXft7tCihjzYMeX80ctGCYQrK6d1zlDP7XfToadrElt3n48O6cN8JeCELbQ8DGAZgLsHPu8A8HsJcUhZI29mkdSf/3nlw6X3KQ+evp4+LLeiv/OSJxDFvTFpdcEHmYu2XPxlzd2ff/HZkxaLZ8iETQi4PmqI3vb2ybgiI+IfB3iGLbRsJ6IniOgtACCi2US0XkIcYVVwJFBEiEmnxpVfVf8y91fKhtrP09/Ko9Hd7OvrKybMnd9hiTp3xTcUqqOkqOzLv+wROPvysYRjfE8XEFPPsJUQURUR/TsRDXlDHyQ8w+anTkv04gfn3oUDQ4w8a27n7Mje9gvFRyxW9wGr1X1JUiwExLEOS/nDlUnTWvo1von0Hy+JDC1XCyF+CKAXAIQQLQCsEuLgwalhqOTJWaLsLfyl8nv33cpfNsej/cyFbxJpO9LmrX5h6nWXrC7IO7r1wo2Pprmv2LstBLrePhX7aUVj9ErD/wLhi2fYQstTAN7BZ0WVqiFn5RQf1XQZC7nzFiv7C+9RHon9gfLUjlmo3gOIkYslESU8n3dD7RVfT4+tv/xLfW46+PhhG53qtvh9kDYDYOaEbWD6vAhAI4BHiegAEf2TkYENgxO2AAii1NJJqxc9l3dDuZuU/ou/l3V634Vf8IyMtkvWUHsEGt88GbfnL3UJhR5QWJcYNxDPsIUWJxGp+Oww2VQAfp/bpQMZm/9DChES8uh40Y+VJ1K+pzzzUTZOX9i3eyw+q/Dh2Xd87CS1BwCiu5sXW/q7GwFAs3gu2ZcmBM6/cjz+eGVr5FXB/RuEHZ5hCy0pQoiXMXB9E0K4IOHMSQB8ztcwiGBNptZld6ibFv5a2XDyVnprczw6zg73/PORicsP2iZfMjivzEu7ZIDqfK+6fWNV0tROl8q/r4GTMhDv8xp9IcRZIcQGAN+D90y2fzEsquHxqHOgiKguLqPw/vyvHGuItB0d/HJqY63N+5HwZE9qmTX49S4n7X7scBIOt0UsCn6wYYUHGULLBniLjUwgov8AsA3A/5MQBydsPiKCJZWal39LfWnmPcrGT+fRoV2AEK0RcUt/m//lo51aVKO3xP9HhwBA09wXEja3wIlnahM7TnZZZa4cCReJsgNgfukiomR8Nji1FN76BMHma7XycU0lT06+UlX0Y+Xx1B8rj+0qIMfOofbzlk5cPWFwoAqAoLlp0wFACHgOtkSUP1NrW+EWFBnU4MOPpcRREfSZYV8Pzp5FRP9KRA4AD8FbIfKKNbFGspc6IsG/2GPmVC0zHp95S/rmjAVbAUBz98219ned0zTPgYgId6oQcB5ojih/5HDSwi6Xwsv5xo6rzIUQIcTzAH4J4D8BnAFwqxDiFQmhcMIWgBjqWXCL8s5V9ykPHltD27Z6VGXqg3Pv7GuISjqS2nRkBnncTk3zzrD1e1D1+OGkyOY+LVdy2OGC359Dyz0ASgFMJaLtAJ6Ft8BcsPEMmx+IoCZQ51U3Ke8t+bWyofEu5Y3yJDRfWPboUZSJf5lctBMAYFGqKcaaLAQ63j0V+8k7p+L4GCb9BH3Vma8X2KcAvAjgOiHEaQPjGQn/UuuFKHp7esGqQ7YpO751+K+zM08fqHKumgG3QP2rx+M7TnZZ+ZdaP/xzG0KI6N8AbAXwtBBiyAOZg0TGvrmwoZF7ykraNWWF2NVUiWlHXppxzcTrju06k3nGcVTTYvO6XLTnqWrbtH6Pwvtn9MPXuhAihNhDRIUAZsB7FtvhgcOzg41/bgKkkEifjqPp05SjohtRn34krurZJeYvqonPWX4mKrk2M8Nz1i0Q/eKRhN5zvRYZ1Y7DWdB/bn1K2IQQS40OxAdcclRnLRHxyx7Iv/vUDWf3dE1I7dD+UJmU2O9RuLCIvvjNKLQch7dC5AYi6oA3edsyUOI/mLikvA6IkDIbNYWz1JrehrzUE81NSsv5/mn9L9cmreB9ubrjGbYQQERfHOZb04kIEkr783vkGBGBYtCzYC1twbViS3Mdsh0fTS1wrc1s7n2pKim6x63kyI4xDAX9ejdih0T0shDiTiI6gEvP8yIAQggxz9DoLlJADiSibStBgCAEQRABguCB8tnX8NkDA8/xXPTxwOvo4jau+BMEXNTO4PdAgx/js+fRRc8Z+Ie58PElz4H3Y2Xg44EDLwR99v0LfyoEQYNtDfxjKwOv9/5VvAdm0ODrccXHFz4fvOlTLvr+RV8DuQieo0vm9J15axZmHunqA+BzGVnmA0I75soOgvlKCPEkgCeJKB3AnQB+DuA7CH4lMx6g0pEgaP2289a+ydHRjTvTe+btadnj6fFMkx1XmHHztS4k3DTC9wQATthCGBGSJuLksua8s9sP137dM+3dXgG+r9Od2woR7OvdaBniTwb+XGd0IKO5SXnPA2CV7DjCSVsk1ezItSgLuxbZohclK21Zkaebtp5PhbhQ5peNlUDH6E9iZkFEjwOYDaAB3tm1OwDskRAKz7DpoNNK9VVp6rFzscosEC1d0rG23JURZ426Nerq7vruPS27WhVPv6dAdpxhok92AGx0QohvyY7hMpyw6ag1kqo/zrV43AoV5eUnH7MoXYfb9rdfDZ4B15XWH/zq0SP+Bwohzgz8WUdEkwBME0K8T0RRo73WADLWVoetwxPUrUeS1cUgikp25apdEOf7s6LmZ96W2drwTkOFu8tthmWw4cAlOwDml2R4byBa4R2VbBoodx1sMo4SCAseQn+dTd19JEWN7FdRAKKJAKAKS1eSa2KB0y1aOy0uRE+MXhg9MRq9Z3oPNH/c3Ovu8XBZ/7Hha10IGagQ+RsAK+GdWdsG4N+EEOeDdHqY8gAAIABJREFUHAonbDrwAK79Wdq20/HKchAN7IEWnvg58SuUSHVny86W+eAiaHoKek7ia5XIfwDwZwCPDHwpG8DrRgU1FOULT3DCpgOngvbyqZaPjqRoq0AUFe9Kr1Wg5ca6tHkQaFUjlMTMmzOWxs2K2wqgZ9QG2Wj45zaECCFuE0JcDeB/4C1T/iERnZQQSquEPkNaRwQd2znRUv72TGt7Zbq2rF+jBSC6sLR0as/K3QRKsAplEgkcGvx6ZEZkfuatmVdNuDa1SotVd4CT5UDxtS60/Anes3Vvh3clQSOAlyTEwTM/Y9QWSbXvzbDWnE5Qiz5L1gBAuAEgdmrMkuRVyYcAdEoKMRwFfYDK11+UHwJYAuBjABBC1BCRjJO+OwHESug3LJyPpkM7J1liBNHywa9N7l12CkAegSxWj+LoVz0rASCxIGFV9MSo2ob3zwFu5EkLOvTx2vEQQkTr4F16vRqADcAH8C6NDLYmAFwAaBRuQu/xJHX30WQ1xqlRAYDJwz03t29JxuDHcS6tsd1y6fttRGrEzIybMtDf0n+keUfzGWebayn4ZtIfnLCFliQhxL9f9Pn/JaJbJcTBM7MBEoB7f6a27VSCshREQ8yeiQuDT9HZUQuUa1IONn7QlAnvexsLnICECQ1f34z6hBD9g4OVRKTh0iIkwdIITtj8JgBxMF3bUm9TloMurYw2wTntwk1MotMScU79bBuCNcmal/XFzJ7GD5q29p/v5/2DgWmSHQDzy+cBbAHwO4lHmAD8czOitkiqrUzTTjVH0zwQrRjt+anOvH0qLPMHP0/st05v11wCdGVxF6vNOjX9xvSpzg7nieYdLcf7z/cvAS8l8gUPToWWD4noywBeHvj8DgCbJMRxTkKfIa89go5U5Fp6XSoNewyTGJhhGxSZFjkn7foJtQ3vnuuDQLrxUYat85/7zTVBH2jwdWN7ORH9GkAUEa0F8AqAvxoX1rD4F9tP/SqaP5xm/aQ+SS28PFmLdied0GCdPvh5rEubD4G2i5+jaEpU2nUTVtkWJ1YAaAlS2OGEb7xDiBDihwAq4C08AiKKIiIZZ3Xxz81l3ISemhR1+7szrAe2T7HmNccohSDyaaR4ZvfaS87UswglQwEOjPQaS5wlJ+26CasybklviUiLKAfQPYbwxwMZS4dZ4L4L4AUA/QOPPwG4h4g6iKg9iHE0BLGvkCcAz4EMrXzbFEuWS6U5ozz7iuXd1iRrXvqNaf0g1A/1CuaTMzI69TVh+xW8s1sH4P0lfxPAPxkV1Ag4YfNDQ6yy7/3p1r5eCw25mX5y79KjF39OIKvVoziGem7stNilGTel9yhWZZ8RsYaxRtkBMN+ZYb/uAE7YBrRE0eEduZYt78y09tdM0Fa4VMr35/URnthzMZ6kK66BcU6LT/sEtWgtfcI1qYWZt2X0RGVFbgYuHdRiF5yQHQDznRAiTgihCCG0gYcy8LU4IUR8EEPhhM1HHRF07L0Z1oMnbGohiCJHf8WVCRsAWOItEzNuTo+Aglq9Yxwnzsro1NclkVEAnhRCPAYARKQOfC3YI46csPlAAJ69WdqWM/HKKnj/r4aU4ZyVdPnXEpwWS6M6dHVmLVbLzLwtI+38jubynvqeleDqTr7gG+/QYpb9uuP658aloPNIsvrp8SQ12a3SbAAzAm1rVvfaQwQquvzriU7LrDaL0w3y7TqmRqrJKatTijz9nraW3a2bu49358NbVZR5ccIWYohoHoBcXHQvKOHgbE7YRiEAz8F0bWu9TVkCb5V2H18nht26pEVraZm3ZljPlJ49KFxilJk6dhlTJ2x/A3AtPqswEwXgXQDLh32FMThhG0WvhoatU6ynndqVNygXi/DEndNE5BXH/sW5tPmNoq8dhCFH2EghNWVFcmHP5J79TVvOJ0MgS6fQw9W4vvEOQWbZrzsuf26ao6myMk1raoukAhCNed8sCXKlO2fNHOp7mlBSVUF73CQW+tOmYlUSkpclFdmuSuxu+7StvPNI1wzeDwKAE7aQQkRPApgH4CA+q4wq4+BsKTe/oaLTSnU7JlvanCPsVRve0DNsg9QI1ZZ5a4blzF/Pfurp8ywINMZxyNQJW6QQ4kI5UCFEJxFFGxTTSHgkZgSn4pVP9mVpuSAa9Rcvt/eqKsKVMwcEirAI2u0kMWIyHpUZNY/PbPOJlLXOLGCX79f9AeTs1x03CZtTQXttirqvPklNdSs0S8+2c/oW7SIoy4b7frxL626xBlbcUNGUaNtVtsLEhYl9bQfat3RUdUyGQE7AwYY+TthCy1IhxGzZQQCokx2AGQlAHEpTt9QlqVfBew5yIK2MekSJYlFiM2/JmH1m09mP3V3uqwPrZ9yRkrD5uoeti4gujEIS0SLIOaPrmIQ+Tc8DuHZOtJTvy9IWgSjFl9dk9c8bttpmYr/VtyVCn53ZtgV8ZttwqmQHwPxilv26Yb8hvCmGHNsmW7a9N8OqHkvRVrkVGnImbCym9a4ecflQQr81HwL9Y+mDVIpILEhYnX1nVkbCvPjtUHBkLO2FME7YQssOIjJDwsb3dZfptFL9+9Ot++qStUKMYXJEwOPTmZKkUkTGuvRFlgRte6B9jTOmnmH7KYBXiGiwzHUGgLuMCWlEByX0aWpdFpzcPsXaOlJp18tZPJGtVhEz7Mb9WO+yyE6Qb0coJBYkrI6eGFV77v1zQrgxzdc4xoFujIMb73AihPAAeGzgIZMD3uVJV5SdD2X9ClprUtX9J2xqhkehK5Zk6ynelV5rFdEFIz1HBSVogna6SCwZa3+kkBY/J35F3Ow4T2dNV0Xb3rZE4Ra6J6EmxlUiQ8sz8CZtZwH0wXutEUKIecEMQvnCE+c9m9a3A0NvwxhPBCCq0tStx5L+f3t3Hl3XXd0L/LvPpHmy5sGWroefPMRDPCp2bBmJDKCbAULIapmhAZ7LDKWlr63aRyms0FJK6aWPoCaUAiUFwmMZGnASLM/xoDiOHQ+JrcQ4nmdb051+748jEeHK9h3OOb9z792fte5KYl+d3xZC5579G/bWF4HIgT6c1z/Ddi3SyKh9S+3y08+c6Q2fCaew/TKnKHmuSyhhk1LuIKKZsA9+E4ADUkoVTTL7Ya/kJHzoMpu9VqFt21dnzAJRUzJfN3lk0T7C9XsXaaB8U9LWCMnrbiW6ljXJmt74QOPw6WfPbAifDa9KJp4sdrCzu0PF+SeWJCJ6Qkr5TiJ6EROcWVPwEDMQ/8WHjgCY5uW4bjldrL1woEa/ejWPFoHIk/vD7MG7jgOYfrP3lUXM6Lm8tBbZfg8RaSWiuK1EFGOgf2DnhV0X82REJlXZMgNd6ezu4OqZmeXfALwH9m6ChFZiXNQPYP5N35XFBkwc2xqwzoQN5+6Pia6wjSEiqn1zTfvZjWfXDx0bXu1UHFlGAlBSLT2hhG30vNpnADRLKR8mohlE1CqlXOtueL9P6+qJx3/xoYMAbjhrmu1ihOHnms3tFwu1lH6xJ4dvvenPvSxs0dn8iatFXg/plF97R82qq69cfe7CjosCQEI9krIYb4fMHJ8c/edjALbDH9u7XkQGJ2wjOs6/XG28eKxcmxzXyNOHMV1aV8pjTQkdoi+NmPPPWeFBEBw/l10UKFpcFCjC0LGh3ee3X4jHR+JJFTjJILyTIPMclVL+XHUQo44ghxO2AzX6xiOV+oJkJ99v5kZVIm+kamXV6vM7LvQOvDKwClm2y8MBhzu7O66oGDjRLZGPAdgFYGzF5Rjs5tmeJmyjXkIOJ2xX8qh/S8AMx7TUZmE0aQ4WxMtuulpQEjXmn5UjAyAUJTtG8fTiZfl1+cdP/er00Xg4nrM3YQD7VQfAEiOlHCsOUwK7B9t52I1kfyylVFXsaA+A+xWNnRIJyFMl2u6DNfrQgEWLQKlUNkvfjKFVzxMSu0dqoKJkdxQkq6CpYEFjUwGGTw3vO7/twkBsMLYE2fUg9LzqAFjSDhDRD2AXVfrd7KyCsv4AsBPA2xSMq9SgieNbAtaJsJF+RdyJxVPe4TNpSUW7nq9vurz38m3gFk7jKbvXJVp0ZJqU8hEAEQCQUg5B3YdNzp5je6VK37RxqlkT0yjlnkRNI/P2EG7ex0MDFZiS9qQ6zmjPtlsKphT0Aoilep0MxytsGUZK+TdSyjmw+7E1wK4a+bSicFL+/fPasIEzexqM9U/Nso72TTZvHcjTloMoT1U8U0YWJ9VupCxsJfpZmJb82vw5DffVL629s+YVo8TYCvVb0ZyyQ3UALGkFsBO1OwHcM/oKKoplk6JxlTlUrW9cP90qDhu0yK0xZBoJGwCUzS29vXxR+Q4gvcJMWWa3qoETXWELk92sTwIAEU3DuBkZj+1VNK4yUQ1Xt7SYL1zN125P91rNI4sTfkAojZhI52wH92xDn+oAWMpOw64EdQ6AisbZgM8TNgnIE6Va36EaIzJoYhHoxr0fvVITFs/rMJLqKVQaNRaclSOXQChzK67xrEprRn2wbkbkYqT/3Lbzr0cuRJYBML0Y2yWcsGUYKeUHVMcwzlhSYKkOxG1DBk5sCVivj5huraqNQ3GZbhfRElHcpudpu85tOT8TSH7HVRby7wob2R1k/xXAUwAmE9H3YTfS/rzLsV3PFqhpZKvEhQI6uE5YZ67ma9ctEpIoklqkKF6VcEf70og5DzL9cv2jPduK9CJ9W7rXyiDHO7s7crW8d8Yiov9FROth3+OqADzsdcGRcQ4DGFA09nUNGTi5u9HofWqW9fruJnPRoEVtIPJNsjFr6I6kJxMJlGfFNc8nA81yM1B3d+3t9ffUnbaqrA0Ahr2OwQFR8JbIjENETUT0JBGdJqJTRPQTcvgMVaK0rp4h5MAE58tV+qbfzLAKR0xa7MV46a6wjSlsLlxUvbrqCAAuLOTnhE1KKWEfyH87gPcD+CGAxVLK9a5Gdh1aV89Z2OfYst7+Wn3D1hazRWoUcOJ6dZFZewiU8AyyBioyJDlSDScHe7ZtVB0AS0kzgE9JKedIKbullMruNVpXTxx24RHlJBA7VqbteHa6tf03M6zq42V6u1T0cHcj+fHSEwXx8pQehsojZr7T8STKKDYaa++oWdVwX/3l/Pq89QCuqoolBXs6uzsyMdHMdY8B+Dnsrd+NsM+yPaYwnqzdFjls4NSzM6wdL9cYt4MSfwZLV9rLa+Pk1+fPrbmz5hTsPqW56mRnd4eSHmxA4mfYtgGYKqX8hZRyrZTyrJtBJaBX8fiuimi49Jvp1rb+SmOVk+dAWoaXDSb7NWUR09EzFuULylbV3lXzOun0spPX9aENqgNgyZNS/pmUUtke9Qk8q3LwQRPH+5qM3qdmWaf3NJpLhi1aCiLfHkCfNXjnQQIlutX/9xRHjfmQOOd0TMnQC/Wa6tXVqxveXh8pmFywHsBFlfEkKKs/j7NYtZTyMSlldPT1OIBqhfFkZcJ2uFLf/OwMK2/YpCXej+7MCtuYvEpL1L21dgCUsz0Xt6scPNGE7U2wGyweJqI9RPQiUeoFKRywXuHYrjpbRHufbrWuDFnU5uiFJeJlsbqkm7iWRsy5kM5u07F7tjVMHt0ClK14hY054b+9HjAORI+Wa9ufmWHtXD/dqjtZqrdLonqv40gWSS1SGxGzU/56kJEX13xR1ErP0yuqbq9c3fiOBr1oauF6+HtWe73qAFhKzhLRu4lIH329G1A6YbEZWXTcZdjAmd9Mt547WGusAFG5ihikC/XezDKzpf6eOh0ajjh+cf/z/PN4vEQTtrfA7gfUgTcqCd3jVlAJyLoHfQnIPQ3G+u1TzJlubDWqjk7fS9CSnj3TQCVObYscb6xnW8WS8ucAXHD6+oqdRw4Wx2Gu2AqPVlkGLPrtzsnG+qdmWef2NphLR0xaDCJPqic6oXlkyQ6CllaBmIqw5dl2pURoplYyadmk1Y0PNhQXi+JeEI6rjukacfDkVKb6IIB3wi6udALAOwAoK0QyetzloKrxnXRkkr7l2RmWPmTRMpVxSJeK0BpFRn3DffVlZFCutS76pcrBE/owllK+NtHL7eCuR+vqOYUsKpk+ouPMszOsXcfK9dWg1Lbz3ExgeFnKSVFpxHStLH/x9OJl9ffWDWuWpqRzvEs2dXZ3ZM1MIVNH6+qJAVjn1vXjQOTVCm3b08La1TvNbDpdoq8GUa1b47lp+vDtJeleozCmz4XEiZu/01uaoRVULCpvb3pnY3XpnJKN0KDs8/caezq7O7Jtwi1XfBHA+6SU1VLKGtgJ3F+rDSmzt0WO6Di7frq17UCdsRxEk1TH41bCBgB6vl7ZcF99Y5Y9u93Ivs7ujqMqA8iY2dMJuPYQ46WTJdrzzwgr7nbVoIrolGmpfm1pxLwF0r02DkaRUd/w9vq5WdSz7ReqA2BZxfFtGFcsenX7FLP3qVnWxZfqzbawQYtgVwTOSGXRhoOmLJib7nUIpBXE9ENOxOQG0sgsm1e2sunBxqayBWVbSIfqs8BKtwixtMyTUv4u2ZZSngeQVDsMF2RswvZqhbb1GWFh0OnjLGlxt82jZmml9ffVCb1Az4W2HkpX14DMTth+pjqAdEggtqvJWN/XZMx3e0a7PNq0X4Oe8jZLHVRqpNFEOxFEpFWtqGyvaq/aB8Lrbo7lMgm78hZjTnkKDpztiBFGjkzSt6wT1u6N08zms8VaO4hUFhlwzOzBu087da2KiFnl1LXcQhrppbNKljc+2Di9Ykn5c2SQqmqmP1Q0LkufRkQVY/9B9oqQKzt8kvDfsNtEZIwRHefWTzO3vlRv3gYiX9073DjDdi3N0Arq761bYJQaW1wfTC1O2NKwAWoPyKZs0MSJp1utvadK9dVenBGZOnxb2g8zpRHTk073BQ35ds+24ozt2facyrKvLPtoXT0nAKS87eRyHh1+rtns/dVMa+BAnbE8YtCCTF5Nu5YRz79UFqtf5NT1CmLGHEgo3fqSKCKi4unFy5oebJxduXzSLo+3J+3t7O7wRdsJlpJ/ALCFiL5IRP8Hdo/bR1QGpHX1nAbwK5UxJONohbbtGWHFB/O021THMhE3t0SORxqZdW+tbbMqs7aQ3GX4YPU3YxM2rasnigxcyThWpm1fP93Ki+g036sxqyLT0i5iMrot0pOkTc/TyhvuqW8rmVWyEZnXs+3HqgNgWSmprWcxwtArVfqmX7daL26aZk07V6S1++FMhRvE8OrdBCp08pqFMb3fyet5obC5cFHjAw3zq9or92j52k4PhuTVtQwmpfx3AA8AGOut9XYp5ffURgUA+HfVAdxMWMeF3mnmlr31ZpufdylI8u6ECRFptXfWrMpvyM/GNh/rOrs7lK/8ql7+TtePoLCqUTLihPCOKebWc0Vau5fjlkRrjugwUj6/NkYHlemSdsZIunrWbrzyBWUrC5sLDp9edyYuY3KGV+OmQQL4L9VBsKz0YwBfuNmbLubTof21xokLhbQARLd7EJdaEnLyyIJmpy9bEbYaBo1MmyuyFTQUzGt8WwFGTo/sP7ft/KXYQGwZADdWVDlhy3BSypcAqNpOez0/B3AJgK8qto75bbm2/cV6owVEy1XHcjMScc93UlS3V7Wf33Z+/UD/4Gqvx3bRT1UHAGTwCtuoZ+Dv/jQAgKsWvbZOWK94nawBQGCkzbGtPaUR09F+bImwKqxpGdSzbZvqKkIsO2ldPX0AJtx+FiUMHKrWN/261dq3ZaolLtirab582HFaXWR2nwajxenr5sf1GSRx2OnreimvJm9Ww731bbV31xwxyozNcLag07bO7o6MW4Vk/qd19QzDhxOfEQ2XNkw1N7/YYC4FUVrtQ7zjzZbIa01qm7S6ZFbJBmUBOOsSgCdVBwFkeMI2ui3yCdVx3Ej/JH3LhmlmRUynlBu6pqM23OrYjaXM3hYZcep6icqgnm1+2E7Cstfj4//jfAHt39xibvj1TCv+SrVxe1SnOYriUmbmUKdre36KosZv3bq2l6wKa1r9W+tW1HXVvm5NMjcCjmxt59U15iZffZYeK9N2rGu1hq7maytUx5IMiZiys8rlC8pWld9atg3w/pnRYU90dnf4YrtFRidso76tOoCJxAhDmwPmxv12P45SFTEUxMqOG8hzLFHUQeW6y9Uib8TnPduuAPgP1UGwrPYfEQ3nD9ToG38109q/LWDNulSorQJR2v3HMlFBrPxYfrzUtS3aFWGrxa1rq2CWmlNq76pdWX9v3bm8mrxeAIMpXioGn0+Usoy3EcCrqoOIaLi0caq5aU+juQREdarjSZaKLZHjlcwsWT6prWI3Mq8WwXiPqw5gTMYnbFpXzx7YFSN941I+HV7Xah27VKCtVBlHy0jbK05fszRqpPoh7wgf92z7Xmd3xxXVQbDspXX1nF7Xaq07UmWsjGk0S3U8qs0euusVgntVdi2ptZDEAbeur4pRZNTXdFa3N7ytfjC/IX897ApoyfgNV8JlbtK6eiQUT4AeL9V2Pt1qDV7J1zL2LLDKFbYxRYGiJVWrKg8h+fuMH+zr7O7wTbuCjE/YRn1TdQBjDlbrGzcHzPq4RsqLZDSE5zi+slcWtuZAqu2T4tOebSHVAbAcQPSo6hD8QJP6SHVketqNsm+mOGqccnsMVfR8vaq6vWp14wMNsrC5YD2A8wl+6XddDIuxMUq2RUY0XN4UMDftbjIXS6J6FTE4RfUK25iCxoL5NW+ufh3AWdWxJOlbqgMYL1sSticBtQ/uUQ1XeqeZWw5XGytBzpaYToUVLzprygLHH2h00CSV2yLHK2jIn9f49oZio1jfqjiUDZ3dHfsUx8ByQDAQegbIvlWfZLUML9tJoEq3x6kIWzMg029a7meapZVVLq9c3fiOhryiaUW9sMu8X88x2NWZGXOV1tVzCICn/VhPlGh9T7daVy4XZO6q2nh+WGEbk1edN6v27prLIJxQHUuCrsJnLSayImEbLT7yr6rGP19A+9e1WucH8jTflHltHll8gEC6G9cuiRoDblw3FZqlldXfU39byWylPdt4dY15yVezfipMHV5e7sU4ptQaNGCvF2Opppla0aSlFe1N72wsL5lZvAGEYxO87eud3R2ZXkSAZQ5PGnlHNVzd0mJufH6yuVASNXoxphf8ssI2xqqwptZ31cWgqT+fmADfHXPJioRt1LfhTPWrpOyrM3q3tZjTJJHjvYDS0TQyP9+ta5dFzJmQvjo/hvL5ZStr7645Tjq97PHQr8MnPTpYzngMwDnVQahSEZm830S+ZxUxSyKmnyvTOo50yiu/tXxV0zsb60rnlm6ChrHy/Zfg0yJfLDtpXT1PAuhzc4yTJdrz61qtixcL1dYccAXFfPeMb5QYTQ331heRTgdVx3IDEQBfVR3EtXz3w0yV1tVzGh5WcwnruPDsDGv7a5P0dhBZXo2bCEPmXc6TJfPcu75WrQG+2BY5nqKebV/mGWfmpWAgdAUezTz70eyhuzxNVssj5iy/TVB5gTQyym4pvb3pnY3N5QvLtxrFxiN+m3FmOaHbjYtGCQNbW8wNfU3GAknU5MYYqvlthW2MXqBXN9xfX0cmTdhb1Ace92OfyaxJ2EZ9EcCI24OcLtb2PCOs4WGTlro9ViqaRhbsJbibRJZETF9+cHvcs+0oAC4CwVT4JoCcq9RnxgsulMRqF3k5piG1ar+c21WBiLSS1uL59ffU8b2OeU7r6lkLYLuT1zxVrL2wbqZ17oLdFsWXSY0TJPy3wjZGs7Syhvvrp2n52k7VsVwjDOBvVQcxEd/+MFOhdfUcg4tn2SQQ391o9O6cbMzxc/WgKSOLXP+5ltvbIn3bxX5cz7bdLg7zpc7uDs+34TIWDIQGAfyd6ji81jr0pj0EKvB63NKocdXrMX0mJIQ4ozoIlrMcWWWLEga3NZsbdk025kmiKU5c08/8nLABgGZohQ331s/zQeG48f6ts7vjqOogJuLrH2aK/g6A40Uxhg2cfkZYu4+X6e0gd4p5OEGTxnBhvML1cteG1Go0wK/L2QB+17NtXmGzKz3b+mGfJWJMlf8Le5U3N0jEG8PzAyqGLgtbcyG9PyPtE4PI4S24TD2tq+cpAGn1wzpTRHvWtVqnzxdl96raeH7dEjke6WTVddUtNSvMjapjgb1D70uqg7ierEvYRs+yfcPJax4v1XY9O8OisEELnbyuGxrCt+whUJEXY5VEzEtejJMOItIql7vSs+2LfHaNqRQMhMKwt4HnhIbw3F0adCWz4jqo3JD0goqxfeCfeXWN+UBKq2wxwvBzU8zeHVPMW6RGLc6G5HfxjHjGJ430urtrV+bV5vUqDuXRzu6Oiarj+kJG/DBT8FXYFa3SEgeiOyYb63c3GgtBVO1AXK5rHlniWRJRHjFFpvQocrhn20H4rD8Hy1mPA3hFdRBeaB16k9LxSyNmLk7QvA4fzziz3KF19TwNIKmCYmeLaO+6VuvEuWKtHUTZ+rx7XTJDErYxNR3V7YXNBesVDT8Mnx8zyKgfZqK0rp4LSHPmecDEsadbrf1nSvTVmbJ8TpKiJbGa2V6NZ0itLpN6FDnYs+1jnd0dOVc1jvlPMBCKAvhr1XG4rTA26WieLPG02Mi1yiLmPEhlvR5V+YwQwpcFplhO+qtE3hQjjGyfYvZun2LOimukZBu1H/j9DNtEKpdXri5uLe4FPF8MeKSzu8PXTb0z7oeZhH8CkFLBiaMV2rbe6VZxVCfXz4I5qTbS+iKBKrwcszgDexSl2bPtPzu7O552PCjGUvcDAOtVB+Gm2YN39RPUzpBroGJTkptFjPzm10KIJ1QHwdgYraunF8DPbvSec4X00rpW69hZe1XNt/UGvCARz8jvv2JheXvZvNItAKIeDXkAPl9dA7I4YdO6eqIAPgIkXskwRhjZ2mJu2FtvtoGo3L3o3NEyvMzzmdDyiDkjU7ZFjpdiz7bLAD7jVkyMpSIYCEkADyO9VWPf0qQxVBWd6lpfyWSUha2s/cy8xgiAj6kOgrEG3QefAAAXDElEQVQJ/DEmOPISJ4R3TjZ6n2s2W+MaTVMQl+9k2pbI8UrnlK6oWFrRB/dbdUkAH+ns7nC9JVi6MvaHmQitq2c7EizzfyWP+p9utV69UKitcjksd0jI8lij8HpYU2r1GrDP63GdkELPtr/w+5I5y03BQOgVJLhdKNNMHb5tl9c7B66nJGrMh8Rl1XF44BEhRCo7EBhzldbVcxzAn47/s/MFtP/XrdZrp0v8XcXbcxTL6P8tiqcVLa1cWfkSADfbqvR0dnckdTZSlaxO2EZ9AcANH7IPV+qbN041q2MatXoUk+Mqo4F9BK1OxdjFUeOcinGdkmDPtj4AIa9iYiwF/whgh+ognBYYvq1SdQxjNFC+FdeyvYn2EWTA9iCW074NYEMciOxqMnq3tZgz4hrNUB2U32TqlsjxCpsKbq3uqD4K4LwLlz8J4E9cuK4rsj5h07p6LgP45ER/FyUMbJxqbjpYa6wAUbHHoTkqMNymLGkqD1vTVY3tlJv0bIvCXjLnQiPMt4KBUAzABwFkTTXDSZGWfQasWarjGK88YuarjsFlHxdCDKsOgrHr0bp6ZIzwoXWt1v5TpXo7iAzVMflRNiRsAJBfmze79q6a8yCcdPjSn+rs7rjo8DVdk/UJGwBoXT3/BeBH4//sYj4derrVOnUlX7tdUViOqoy2tKga25RaI0m8pGp8p4z1bKteXfUSCON7cfxNZ3fHTmWBMZagYCC0F8CXVcfhlNmDd/ruw7Q4aiyAdGW21w8eFUL8UnUQjN2M+daeV2I6fVt1HH6WLQkbAFiTrOl1b60Ng3DUoUv+srO740c3f5t/5ETCNuqjAF4DgP01+oYtAXNKXKOpimNyRFm04WUNerPKGIqjxmmV4zspvz5/buPbG0pGe7ZtRhY9ALOc8CVk6LnS8ax40dniePVi1XFci0BGXlzL+P99J/ACgE+oDoKxRAUDoX8B8N+q4/CvzD7Ddi2z1JxSf29dHrS0e4+eBPAhJ2LyUs4kbFpXz0UA7+qdZm7urzJWgShrtrUEhtuOq46hPGxlVVWm0Z5tM8sXlv0hb4VkmSQYCIUB/CGAQdWxpKN1qGMvgfJUxzGRirBVojoGh10B8CBvhWQZ6IMAzqoOwo8yuUrk9RiFRm3D/fWVZFCqk2ZRAA91dnc4vb3SdVn3w7wRratn80CelnXbPWoiMxpUx2BJbTJJ7Fcdh8M+uOieRU4tvzPmmWAgtAf2g0xmkog3hG/x7dnYwpg+D9Lx8xQqPcxVIVkmCgZCJ2G3NWHXkJBZebZPz9MrGu6vb9bytOdT+PI/z5SqkNfKqYRt1JcBZE3SVhSrfE2H6YvqSNm0LRLAN4QQN2zQyZifBQOhHwF4RHUcqWgKL9ipQW9SHcf1EEjLj+mHVMfhkG8JITLqLAdj4wUDoZ8B+IrqOPwne86wXUszteKG++pn60X6c0l82ZOd3R1fdS0ol+VcwjbaZPY9sEsXZ7zAcNurqmMYUx62WlTH4JBnAXxOdRCMOeALAH6lOohkiaHVvn/QqIiYvmk3kIY+AJ9WHQRjDvhzAD9UHYSfSMSzcoVtDOmUVx+sW2yWGZsSePvLAN7vckiuyrmEDQCCgdB5AG9FYs2Sfa0uMss3Dw2W1JpJ4qDqONJ0AMADQoisKY3OclcwEIoD+AMAh1XHkqjiWNWrlixaqDqOmymMGXMgf6+abKa5BOCdQogR1YEwlq7RyfgPANioOha/yPaEDQBII732LbUr8qqt3hu8bRDAA53dHZe9issNOZmwAUAwEDoI4H4AYdWxpCo/XnLSkHlzVMcxXlHUyORzHWcAdAkhfFdKnLFUBQOhC7DvdVdVx5KI2YN3v0YgUh1HIgpjerrVylQZBnCvECJjEnnGbiYYCI3Avtdl+sSxQ7I/YQMAIqKaN9e0FzTlr5/gryWAhzu7O170OCzH5WzCBgDBQGgDMvhgfsvw0kN+e7CpiJhTVMeQohEA9wshsmKrLGPjjfZnez/sDy/f0qQ5OCnavEB1HImqCFvKCz6lIArgISFERh68Z+xGxu2gyqYz9akhkIT09T3fSVUrq1YXTS/qxe9/zn2+s7vjB6piclJOJ2wAEAyEvg/gr1THkYqG8DzflZa24nqAJDKt2pgE8H4hxBbVgTDmlmAg9BP4vM/WtOEVuwhUpjqOROXHdUEyc7abwr7XfUgI8XPVgTDmlmAgdATAvQCGVMfiA1HVAXhp0pKK9tJbSjcDiAH4h87ujr9XHZNTcj5hA4BgIPRFAN9RHUcyzHjBBUsWzlUdx0SKoobyvnBJ+rQQ4j9VB8GY24KB0DdhH873pcDw0hrVMSSrMGpk0jm2zwkh/l11EIy5LRgIPQfgXQDiqmNRLKcSNgAom1t6e8WS8q8B+BPVsTiJE7Y3fARAj+ogEjVlZNFLBPLl/uTyiOnbctwT+JQQ4p9UB8GYV4KB0JdhtzfxlarI1D06rFbVcSQrg7aBf0UI8TXVQTDmlWAg9CSAz6qOQ7GcS9gAPFE8vfgLnd0dWbUdlBO2UaPV1B4G8G3VsSRicvhWU3UM15MX16dlyDahT3OyxnJRMBD6cwC+6kcza/DOjCiKcq08exv4AdVx3MSjQogvqA6CMa8FA6GvA/gL1XEoFFMdgMf+H4B3CSGy7vvmhG2c0bKwHwXwLdWx3IguzYH8eOk81XHcSGFM9/s2oU8LIb6uOgjGVAkGQp+HT5rN5sWLzxTFKxerjiNVxVHjlOoYbuA7sD/XGMtJwUDoSwD+CLm52pRL3/MvYLcqycrvmRO2awQDIRkMhNYA+KbqWK6naWT+iwTKVx3HjZT7u3raZzhZYwwIBkJfAPC3quOYOfjmfQSyVMeRqoqwNQ3SlxU4vyKEeFgIkevneFiOCwZCPbBL/g+qjsVbMld+9x+FXek7Y1t13QwnbNcRDIQ+Dp/MPl9ryshi3/8C5sf1GSThtxL5YQDvFUL8o+pAGPOLYCD0l7CrR6rZQiIpVheZnXFn18YzpdakAftUxzGOBPBZ3gbJ2BuCgdAvAHQAOKs6Fg9l3dbACfyFEOLD2bqyNoYTthsYnX3+AHzUXJukFi6KV96iOo5EFMb0o6pjGOc8gDuEEN9THQhjfhMMhP4ZQBeAS16PPTl86w4NWr3X4zqtJGKeUx3DqBEA7+YCI4z9T6PVI1cAeFVxKB6R2ZywhWHf676kOhAvcMJ2E8FA6HEAdwDwxYdxfXjOHgKVqo4jET7aFvkKgNu4USxj1xcMhH4FoA3274tnZgy153k5nlvKI+ZsSOWz2ecAvFkIkRWNYhlzQzAQOgRgOYDdqmPxgOp7klsuArhLCPF91YF4hRO2BAQDoQ0AlgHqK4G1jCwdVh1DovLjuoBUPou1CUCbEOKQ4jgY871gIHQA9r3uN16MVxKtPZwni271Yiy3GVKr1iTtURjCy7AnpjYpjIGxjBAMhE4AaAfwrOpY3CSzc4XtNQArhBDrFcfhKU7YEhQMhA4DuA3Ar5UFISlWGqubqWz8FBTG9FcVDv8o7NlmX6yOMpYJgoHQeQB3wYMWJ7OH7vJ7NdmklEYNVa0JfgBgsRDiZUXjM5ZxgoHQZQBvgc8rg6cn6xK2XtgTUy+pDsRrnLAlIRgIXYT9y/2XULDMXBOZ/iKBqrweNx3lYatOwbBXYffh+LAQYkTB+IxltGAgFAkGQh8B8HHYZ6Icp0vrakV0clasro0pD1u3QCLi4ZBXAbxfCPEuIcRlD8dlLCsEA6HwaGXwLgAnVcfjAt8XqUtQBMAXAHQIIU6oDkYFTtiSFAyE4sFA6G8BrAbwWy/Hbhlpy7gP5IK4PhMSXhYf6YM908xnOBhLUzAQ+iaARbB/rxw1fWhlX6acx02UDqrQJXl1LqYPwEIhxHc9Go+xrBUMhH4JYC6An6qOxVlZscJ2CMByIcRXcrlFCSdsKQoGQpsAzIO9FcUTFdHJ070ay0mFMb3fg2HiAB6BfV7toAfjMZYTgoHQPtjn2v4acG71qHlksV+KEjmqLGK6vcImAXwN9rYg3gLJmEOCgdDZYCD0AID3Aci4CfKJyMzvw/Yd2BNTO1UHohpJ6cden5llbf+ahwD8C4BKt8aoiEx5qe3qe2e7dX03DWmxl44XDrkZ+0EAHxFC9Lo4BmM5b23/moUAvgsgrdYiNeEZuxcNPLTAmaj8JQ55pb9owAChwIXLnwbwPiHEUy5cmzE2am3/mmbY97p21bGkY1rko3t05M9THUcKzgF4WAjxpOpA/IJX2BwQDIR+BEDAPqTvymxGYKTtjBvX9UJBXJ8NCTeKCwzDPk84j5M1xtwXDIT6YG+R/ArSOMc7c+iOIceC8hkNVGJIesHhy8YAfBPATE7WGHNfMBB6DXaT7T+BS+d4vZGRK2w/hf1cx8naOLzC5rC1/WuWAgjBfqhxzJ0X/qxfhxFw8ppeOp4/1DtkxJycqfoVgD8WQhx28JqMsQSt7V/TBuCfASxO5uvy4yUnV1/6RBWBDHciU++SEdl2Nn+kzaHLPQvgk0KIvQ5djzGWhLX9a+YC+FfYvdsyytTIh583UJgpxZ12A/gUT8BPjFfYHBYMhLYDWApgDYALTlyzJFp7OJOTNQAoj5hOVbc8DuAhIcTdnKwxpk4wENoG+173EICEfxdnDt5xIJuTNQAoiRoLIHElzcu8BuBBIUQnJ2uMqRMMhF4MBkIrALwDdr/DDBLPhBW2UwD+CMAiTtaujxM2F4xWkvwWgFYA/wggre0/gZE2T6tRuqEgps+GxPE0LnEGwOcATBdCPOFQWIyxNAQDIRkMhJ4AMAvAx2CfsbouklqkLjJzlifBKaSB8q24lmoT7SEAfwNglhDixw6GxRhLQzAQ+gmAObDbnZxVHE5CfF50ZAT29voZQoieXK4AmQjeEumBtf1r6gD8KYCPAshP9uvvuPD5AwasjGqYPZEUt0VeAPD3AL4hhFDVlJYxloC1/WuKYU+sfBZA8bV/3zy8ZOvsobtu8zwwBa4YkR2n80eWJPElgwAeA/CIEMLLViiMsSSt7V9TCuATAD4DoEJxONcViHxwu4nSparjuEYcwI8B/KkQ4lXFsWQMTtg8tLZ/TT2APwPwYSSYuBXEyo+tvvyxJlcD88igHn3xRMHw3ATffhnA1wF8TQhxycWwGGMOW9u/pgbA/wbwIQBFY3/eefEzL1iycL6ywDwkISNHigaugm76MHcWdpXhbwohMmLWnjFmG03cPg47cZukOJz/oSXy/m0Wyp06T5uuEQDfA/D33H4peZywKbC2f00D7DNuHwJQd6P3zh68u7d5ZHFGl5UdIyHlkaKBkyDU3+BtB2AXbfmuECIr+qAwlqvW9q8pB/AwgI+XRuuGV1z5oxmqY/LSsYLBjSN6fOV1/voI7H5qjwkhBj0MizHmsLX9a0oA/DHs+91UxeH8TkvkvVstTFK9q+E8gEcB/JMQ4oTiWDIWJ2wKre1fYwK4H/ZWyY6J3tN58bMvWLIga2akXy8Y3DCsx1dd88cxAD8H8C9CiGcUhMUYc9Ha/jXGgqtve0t9ZM4nYd/rSHVMXriqR3efKhi+tt/cDgD/AODHQoiUWyMwxvxnbf8aArASdvPtBwGUqIynOfKeLXmoVFXdcjfsSsI/FEJkbSsXr3DC5hNr+9e0AvgIgPditAG3FS8603HpU5UEypriMAN69IWTBcNjCWg/gO8D+LYQIuMLqzDGbi7Wd3w67Fno9wA3XG3PeBIyfqRo4CwIYdj3uu8JIfapjosx5r61/WsKATwAO3lTMlHVHHnX5jxUr/BwyBOw+6j9QAixxcNxsx4nbD6ztn+NAaATwIOtg52NU0duu1t1TE6SkK/1Fw08IQk/FUJsUx0PY0yNWN9xArAMwNtg7zQQaiNy3CkAT56xRr5/2Yps4QpojOWutf1rpsCekH8fgOlejTsl+geb8mXt7S4P81sAP4FdSGSLEIITCxdwwuZjsb7jBoDbAdwL4B54+EvuoDiAFwD8EsCT+sKGXYrjYYz5UKzv+Gy8kbwl1YzbJ+IA9gBYD+BnADbqCxs4SWOM/Z61/WuWA7gL9tbJNgAFbo01OfrQxgJZf71ztOnoxxtJ2nZO0tzHCVsGifUdnww7gRt73QL/9dKLAtgFYAOAXgCb9IUNXOWRMZawWN/xJtj3uDbYq3C3AshTGtT/FAPQB/s+twF2gnZRbUiMsUwyWstgEezkbSWAFXCw2uTk6IMbCmTjtXUDkhWFPfG+bewlhHgl7eBYUjhhy2CxvuNlAJbDfqiZCbtRt4CLszXXuAxgP4CXRl8vANiqL2zgfmmMMcfE+o5bsJO2ZbDvd4sAtACwPArhMoCDAA6N/nMHgM36woYrHo3PGMsBo0VL5sCesFoJYAmAyUihhy8ANEXfsaFQNiWTsMUBvA77HjeWoO3koiHqccKWZUbPhUyBnby1AmiGXcTk2tckXH91TgK4COAMgNPX/PMk7AeW/frChtdd+0YYY+wGYn3HNdhFS1pg3+daxr0aYFdnKx59TZTYSdiJ2KVxr4uj/xy7zx0EcEhf2HDSre+DMcZuZm3/mioATTd5FV37dY3Rt/UWyeZ22KtkQwCGYT/PHZ3g9VsAx4QQEbe/H5Y8Tthy1Ghilwc7aRtL3KIAovrChqiywBhjzGGxvuM6ABOAMfqKA7iiL2zgD0DGWFYYLVpHsJ/pCIBWGWuTlfG2MLcQyXycsDHGGGOMMcaYT/mtYAVjjDHGGGOMsVGcsDHGGGOMMcaYT3HCxhhjjDHGGGM+xQkbY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsDHGGGOMMcaYT3HCxhhjjDHGGGM+xQkbY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsDHGGGOMMcaYT3HCxhhjjDHGGGM+xQkbY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsDHGGGOMMcaYT3HCxhhjjDHGGGM+xQkbY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsDHGGGOMMcaYT3HCxhhjjDHGGGM+xQkbY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsDHGGGOMMcaYT3HCxhhjjDHGGGM+xQkbY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsOUIIvoEEe0nou8TUR4RPU1Eu4noIdWxMcaYU/hexxjLBXyvyy2G6gCYZ9YAeIuUsp+I2gCYUsoFiX4xERlSyqh74THGmCP4XscYywV8r8shnLBlISL6DIAPjv7ndwDMBDAVwM+J6D8APAygmoh2A3gAQDmArwEoBnAWwPullCeIaD2ALQBWjH7tUQDdAGIALkkpV3n3XTHG2O/jex1jLBfwvY5xwpZliGgRgA8AWAaAADwH4N0A7gbwJinlWSJ6DsDnpJRBIjIBfA/AfVLKM6NL6V/CGzeGcill++i1XwRwl5TydSIq9/Y7Y4yxN/C9jjGWC/hexwBO2LLR7QCelFIOAAAR/RTAyhu8vxXALQDWEREA6ABOjPv7H437980AHieiJwD81MmgGWMsSXyvY4zlAr7XMU7YshCl8P59UsrbrvP3A2P/IqX8KBEtA9AFYDcRLZBSnksxTsYYSwff6xhjuYDvdYyrRGahDQDuJ6JCIioC8DYAG2/w/oOw9z3fBgBEZBLRnIneSETTpJTPSSn/Cvae6MkOx84YY4niex1jLBfwvY7xClu2kVL2EdHjALaP/tF3pJTPjy6LT/T+MBG9A8A3iKgM9v8nvg5g3wRv/yoRzYA9e/MMgBecjp8xxhLB9zrGWC7gex0DAJJSqo6BMcYYY4wxxtgEeEskY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsDHGGGOMMcaYT3HCxhhjjDHGGGM+xQkbY4wxxhhjjPkUJ2yMMcYYY4wx5lOcsDHGGGOMMcaYT/1/jmz6ZL5fG7IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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7CJGU+QLhJkGZ4/u6MkIvL1crb/YZQCoLmc6OrtcBp0fR9sYN485dfMfhN3t90WX15R5OMfuc7yBE0qKzo2sOcF4Uba9/Zvx5i+44XMVMdBp+s00ku4KZgNcL4ihldESm1+d87k6bukKms6Mr8ovhDRvGnbf4Tn/FTIa2X+7Pq3TegsjgamfGfD7KPjasH6diJjqnl6uV1/oOQiQlvkSGr30ytmvZ7o4A3uOr89QVMsA/ApEfsrhhvddiJrP/mWu+4DsAkRR4M+Haskh5Lmaynuv+vVytjPIdhEiyBSWg5DuKKGV0PWBfHytXKxN9dJyqQqazo2s80BZXf73FTFz99ZH1l/yscrVyge8gRJKqs6NrDA1c4D8YjcxE5jgydKifSOMFRg6mYWZ8ahnAVMLdNWOXqkIGuAI4OM4OfbzBZ3xqWa//KFcrefhzigzHe4DpcXboJ9dlerpFr7ZytdLQzRpEMuQS4GTfQUQtByMyAB8sVyuxn/+TmkKms6NrP+DDPvqO+w0+Jy/4mcBLfAchkjS1tTH/4qNvD8VMHm5mTAMu9R2ESEJ90HcAceiBHt8xxGBvPKyVSU0hQ/iX4+2QsXCaWWzblebhzR3gfb4DEEmgVxDzaExfvcVMhrcL9UG5TuR5grOAM3xHEQeXm8s63hX3usA0FTJv8R1A7eyF+TF0lZdX/IVJOBVWJGG8X/R63uwki04vVyun+Q5CJGE+4DuAuOQolx4GzImzw1QUMp0dXacCx/uOA2D9M+NnRV3M5OXVDowC3u07CJGk6OzoOgp4me84IJ5iJifrAXt5L1BFkiOYCrzGdxRx6cnRhR3w3jg7S0UhQwJGY/pa/8z4WXffFV0xk6/XO+8sVyujfQchkhDvJUF5WSMzDXVpuVrZ13cQIgnxDiA37/05S6AvLVcrR8fVWWLeMAfS2dE1igQulHxmXYTFjLM83aU8CLjYdxAivnV2dI0mgVv1RlrM5KtAGge83XcQIgmRq/8LzuVih8ZeBrwrrs4SX8gQ7mx1kO8g+hNVMZOnV3uNTr8WgVnA/r6D6E+ExUyebtpAjqbSiAwsOJaELBeISx62LNvN6+LqKA2FTKKmle0uLGamNbqYydub+wWaXibCRb4D2BNNM2uIs8rVSiKLVZEY5W4WRk6O1ejrqHK18sI4Omre0y/N7JQ9/d45t7ix4TxXZ0fXBODVUfbRCM+smzBryaJp82ee+sSsBjWZt0JmMnAu8BffgUg++c51NRfG0MeI1IqZBaec/tdzzUaep/L33s4o4JXAj30HIvmUkFz3qhj6SJQc5joIb84tj7qTPRYyQHvt81jgNGAp4UX2DOB24JzoQgPCqn1CxH00xLq1jStmXD5f8xehQkb88ZrrOju6ZuDx7JihaHAxk7ebNhAWrCpkxBfP13XBgcCZ0faRPD35WiPT60LgP6LuZI9Ty5xzRedcEXgMOMU5d5pz7lTgZODBqIMjvHOVGr3FzEjbydmWpL0SfzdasisBuS7R08p2p2lmI/KycrUyxncQkk8JyHUXko5lDQ2V0+u6M8vVytSoO6n3xXScc+6e3m+cc1VgZjQhPcdZMfTRUA0pZnJ0BGwfR5WrlVwt/pNE8pXrXhFDHw3VoGImj4XQJOA830FI7vnKdYk4JytuPfm86dNEDO9t9RYy95nZ98xstpnNMrOrgfuiDKyzo+tgUjLVYnfr1k6YtWTx8IuZPL7aa3I33CyJ4yPXjQb2OG89qUZazOT0LiUo14l/see6mjNi6CNxcpzrWqPuoN5C5h2EC3auAK4E7iX68w5SNxrT17o1E2YtXTxt3jCfntcX/Km+A5Dc85HrWoC9Iu4jMppmNizKdeKbh1wXHAAcHm0fyZTTNTIQw026wRb7A+Cc22Zm3wZucs49EHFMvSKv4qK2ds2E2UsXHzrvpFOenD3Ep+a1kDnNdwCSb55yXeovahu9m1kOpP7fXNLNU647PaZ+Eqcnr2UMzChXK6PntrR2R9VBXSMyZnYRsAT4fe37mWb266iCqjkp4vZjsXbNxNlL7z503lCek9/XOyeVq5VRvoOQ/PKU6zJxUTvMkZm8Fj2Hl6uVKb6DkPzylOtye7Myx1PL9gIiPU+m3qllbYTzGp8BcM4tIfr1KydG3H5s1j49tGImhwcn9RoHnOA7CMk1H7kuM2/ummY2JJn5d5dU8pHrNCKTT5HerKu3kNnpnFsfZSB9dXZ07Q8cFFd/cVj79MTZy+ouZiyvlTukdNGzZEbcuW4UGbppAypmhkC5TnyKNdfVZGKmzXDkczPaZ0Wa6+otZKpm9iZglJkVzOwbwK0RxpWpN/Zea+osZnI8BAkp3alOMiPuXHcwKV7oP5B6i5mcFzvTfQcguRZzrguagEOiaz/Zcj4iMz3KxustZP6ZcI7bduCnwHrCXS6icnSEbXu15umJs5ctGdqamZzJbaKTRIg712X29V5nMZPnmzYH+w5Aci3uXHcgkNs1sC7fQzKR5rq6di0DjnXOfQz4WJTB9LFPTP14sWb1xNn3LDlk3okzV8we4CF6wYv4EXeuy/TrfcP6cectvuPwBaecod3M+pHZIlZSIe5cd2hM/SRST77TX6S5rt4RmbKZ3W9mnzWzSHcfqJkUQx9ePb160ux7lhwyr7/f5XixP2T8wk4SL+5cl/mL2Q0bxp23+A6tmemHcp34FHeuy3Uhk/MRmQOi3JG2rkLGOVcEZgOrge+a2T1m9vGoggImRth2YuyhmMnzCz7zF3aSXB5yXS5e73soZvKc66Zqu3nxZaS5zsyONbMlfT42mNmepqblItcNJOdrZJoIpxZG1nhdnHN/c859HXgP4d7jn4wqKHIwItPr6dWTZt+z9LnFTL5f7xxYrlbqfl2KNFrMuS43d+U1MvM8o4CpvoOQ/BpJrnPOPeCcm+mcm0m4ve4W4MY9PCU3ua4/Pfm+aQMRFrL1Hoh5vJl9ysyqwDcJd7aYFlVQ5KiQAXh61aTZ1T7FTM53LRsFTPAdhOSTh1y3d4RtJ87uxYzL/X2bbK8HleRqcK57MfCQc+6xPTwm1+/rzuX5sg6IMNfVe+f7h8A64KXOuVnOuf9yzq2KKihyVsgArH5uMZP3V3y9m1CINFrcuS53r/XdihnlOhE/GpnrLgX+Z5DHjB5m25nQk+81MhBhrqurYedca1QBDCAXa2R2t3rVpNnVZYfMZ9yWI33H4pne3MULD7kul2/utWJmgZv6TN5HJJTrxItG5TozGwNcBPzbIA/NZa7rpallngoZM7vOOfd6M7uH504BMMA552ZEFFfuRmR6rX5q0qxL7rx+UfPOHb5D8WbT+PGOlrivJyXPPOa63NqwYdx5hQcf6XzFQwsfBZfLdXGbx41TrpNYRZDrXg4sds491bAgM2jsX6dsPWn92L/6jsOXnU1uFy3RtD1YhXRF7fOcaLofUK7nUo7e2X1Ak3OH+47Dl302b+7xHYPkjq9ctyvm/hJl9dQTihO2bFgwbcWScy2Hdyz33rJFuU7i1uhc90YGn1YGOc91rrtpXBOW2+u6MT3Rpfc93gVzzq2sfe5dwFWofb0KWBtZVPBMhG1L8u30HYDki8dcl/vX+qPTW8978pAZN/uOw5Pc//tLvBqZ68xsPFACbqjj4bkuZCS6XFfvrmX/BFwPfKf2o2nAL6MKClgZYduSfFt9ByD55CHXbY6w7dR4ZPpZ5z158InzfcfhwRbfAUg+NSLXOee2OOf2d86tr+PhG4cYomRLZLmu3nnJlwNnAxsAnHNdRLv/fd4LmTxvSbqmua2923cQkltx57q/Rdh2qjx85NmznjyoJW/FjP79xRflOolTZP/+9RYy251zz64+N7Nmor3YXhFh25Js+rcXn+LOdXm/afMcDx91zqwVB70wL8XMuua29u2+g5DcijvXqZDJt8iu7eotZOab2UeBcWZWAn4B/CaqoNCbe57p3158Uq7z7KGjzp214sAT8lDM6KaN+BR3rlMhk1/PFEuFbVE1Xm8h8xFgNXAP8G7gJuDjUQWF3tzzTG/u4lPcuU6v9348dPR5s1YeeHzWixm9z4lPcec6FTL5FWmuq/eAmnHAD5xzVwOY2ajaz6JavJP3BJ/nNTJ5/7cXv5TrEuLBo2fNMufmHbTq/tm+Y4mIiljxKe5cp0ImvyLNdfWOyPyZ8AXeaxzwp8aH8yy9uefXE74DkFyLO9etIN83Lvao65jZs/829dh5vuOIyJO+A5BciznXzdkErImufUmwSK/r6i1kxjrnNvV+U/t6fDQhAeFwp/bXz6elvgOQXIs11xVLhS1AV1TtZ0HXMcXZTx3wgnm+44iAcp34FPd1HcDdEbefWA7L3YG/fUSa6+otZDab2Sm935jZqUR41kexVHDAfVG1L4nVAyzxHYTkWqy5rmZRxO2n3v8Vzp+9akphnu84Gkz/7uKTj1yX20Im5yLNdfWukbkS+IWZ9c5zOxh4QzQhPWs+cGLEfSRVXqea3N/c1q4DAsUnH7luEfDGiPtIvQde8OLZ4OZNffrB2b5jaYBnmtvaH/QdhOSaj1y3OOL2JXkcERewdRUyzrk7zew44FjAgPudc1EfWjgPeH/EfUiy6A6leOUp1+l1X6cHXvCS2eZ65h+w5uFZvmMZIV3QiVeecp1e9/nzf8VSYWOUHdQ1tczMxgMfBq5wzt0DTDezOVEGRjgik9eRibzSBZ145SnXLUa5rm73H/vSWU/vd+Q833GMkHKdeOUp13UBkV7USuJEnuvqXSPzQ2AH8KLa908A/x5JRDXFUuFpYHmUfUji3OU7AMk9H7luA/B/UfaRNfcd97LZT+83fZ7vOEZAuU58iz3XwRwH3BltH5Iwkee6eguZo51zXwK6AZxzWwmHIqM2L4Y+JBmeAW73HYTknq9c94cY+siU+467YPaafY+Y5zuOYdhFuPWtiE++ct3vYuhDkiPy97Z6C5kdZjaO2vQHMzsa2B5ZVH83L4Y+JBl+19zWri23xTdfue7XMfSROfce//LZa/Y9fJ7vOIbo1ua2dp2nIb75ynW/iaEPSYaHiqXCvVF3MmghY2YGfBv4PXCYmV1LeDfp/0UcG2idTJ4ouYlXnnPdAmB9DP1kzr3Hv2L22smHzfMdxxCoaBWv/Oa6OQ+Qz7Oz8ngtG8t13aCFjHPOAVcArwEuA/4HOM05Ny/SyNA6mRzpRsPN4pnnXNdNeFEhw7D8hFfOXjd52nzfcdTpV74DkHzzmetqgpj6SZI8HoiZjEKmpgIc5Zz7rXMucM49HWVQu8nhC97yVrnf3NzW/ozvIETwm+s0KjkC1RPmzFq3z6FJL2YeaG5rz+PdaEkeXddJlJ4hnGkQuXoLmSJwm5k9ZGbLzOweM1sWZWB9/DCmfsQf3aGUpPCZ624i3EVIhqn6wgtnPbP3IUkuZpTrJCl85rqbAa0Ty7abiqVCLOue6zoQE3h5VAGY2aOE+4rvAnY6507r+/tiqfB/nR1dC4FzoopBvNoGXOs7CJGayHLdYIqlwrrOjq4bif507Uy7p+WiWSdWfzV/8oaVSTw088f9/dDMDqv97iCgB/iuc+5rZrYf8HNgOvAo8Hrn3Lp4QpWM85brYE43BP9NOL1NsulHcXVU14iMc+6x/j4aGEfROTdz9yKmj+83sC9Jluu0g48kRQy5bjDfirGvzLqn5eJZ6ycdlLSRmVub29oHWvO5E/igc+54oBW43MxOAD4C/Nk5VyBcjP2ReEKVrEtArvtejH1JvB4BOuLqrN6pZb79AtjgO4gY5WmNjC7cRGqKpcICtMFJQyw78VWzNkw6MJY52nX67kC/cM6tdM4trn29EbgPOBS4mL/f2fwR8KqogxSJx5wqcJvvKCQS3yuWCrFdxyahkHHAH81skZm9q78HFEuFzWhUJosWNbe16xBMkef6L98BZMXSlledm5BiZjXws3oeaGbTgZMJDwg+0Dm3EsJiB5gaUXwiPnzDdwDScNuBq+PsMAmFzNnOuVMI52tebmbnDfC4rxGuo5Hs0AWbyPP9GNjkO4hMMLOlLa86d8PEqb6Lme80t7UPetigmU0E/he40jmXp1kIkk/XAyt9ByEN9dNiqbA6zg69FzLOuRW1z6uAG4Ez+ntcsVR4rKoV9xcAACAASURBVPZ7yYbVhHvXi0gfxVJhI9qtsXHMbOmJrz5348QDbvYUwXbqmEJrZqMJi5hrnXM31H78lJkdXPv9wcCqyKIUid2cbuCrvqOQhnF4+Pf0WsiY2QQzm9T7NfBSoLqHp7THEpjE4fPNbe1bfAchklCfBzb7DiIzzGzJia85Z+OEKT6KmW82t7Xv8a5z7aT17wP3OefKfX71a+Dtta/fjrZvluz5BhqVyYqfF0uFuLbwfpbvEZkDgYVmthS4A/itc27A062LpUKFMLFnWg5W+j+GppWJDKhYKvwN3alsLDNbMuO152yasP/CGHtdT1iUDuZs4K3A+Wa2pPbxCuALQMnMuoBS7XuRDJmzFfis7yhkxLqBj/vouN5zZCLhnHsYOGmIT7uCMKGPa3xEEpO2euaLi+Tcl4H3APv7DiQzzOzuGa876+Sl1y+cuGVNHGeTfbG5rX3tYA9yzi0EbIBfv7ixIYkkztXAXOAY34HIsF1dLBUe8tGx7xGZISuWCo+iu1JpVgV+4jsIkaQrlgrrUa5rPLOmu0963Vmbx+8X9cjMCjSqJlKHOTuBT/qOQoZtM/AZX52nrpCp+SLgpfKLSZZnl32sua29x3cQIinxTeBx30FkjlnT4pMuOWvzuH1vibCXTze3tW+NsH2RLPkZcLfvIGRYriqWCk/56jyVhUyxVNgOfMB3HDJkQXNbe+bXOIk0SrFU2Aa833ccmWTWtHjm618UUTGzCJ19JjIEcxzhVFods5EujxAOLniTykIGoFgq3EQOFv5nyDqg3wNPRWRgxVLh18BPfceRSWZNi2de0rpl3ORbG9jqDuDtzW3tuiATGZI5dwDlQR8mSeGAfyiWCl7PPUttIVNzBaCh+3S4YrAtSEVkQP8MeBu6zzRrGrVo5uvP3DJ2n0YVM59qbmtf3qC2RPLmk8ADvoOQunyrWCrM8x1EqguZzC78t8ytkflNc1u7FviLDFOxVFgLvNd3HJllTaMWnfyGM7eO3ee2EbZ0B/ClRoQkkk9ztgHvALK1ljZrV3XwMPBh30FAyguZmv8AfJ3YLINbB7zbdxAiaVcsFW4Efu47jsyyplF3nfyG07eO3Xu4xcw24DJNKRMZqTm3kb0d/wbaXj2NeqeUJeLQ5tQXMsVSoRt4LfBX37HI8zjgnZpSJtIw7yXbOzb6ZU3Nd5186elb95pUGcazP9zc1n5fw2MSyaePAXf6DkL69aViqTDfdxC9Ul/IABRLhdXARYR7WUtyfKa5rf0G30GIZEWxVFhHmOs2+o4ls6ypedHJl566bWjFzA+a29q/HllMIrkzZxvwauBvviOR57gJ+KjvIPrKRCEDUCwVlgKXkcWZiOl0A/Bp30GIZE2xVLgXeAvKdZFxTaNG33Xypadu22vi7XU8/Ba0fkkkAnOeJCxmtvuORAC4D3hjsVRI1PqlzBQyAMVS4Xo8ni4qz1oGvK25rV0XWiIRqG3J/AnfcWRZWMy88ZRtYybesYeHPQa8prmtfUdccYnky5wK4fky4tc64KJiqbDBdyC7y1QhU/Np4H99B5FjTwMXN7e1a5qfSISKpcLngOt8x5FlrmnU6LtOeePMAYqZzcBFzW3tq+KOSyRf5lxD9hb/p8ku4PXFUuFB34H0J3OFTLFUcMDbgaW+Y8mhjcCc5rb2R30HIpITbwf+4juILHNNo8bcdcobZ24fM6HvwuNu4A3Nbe3LfMUlkjMfBH7mO4gccsC7iqXCn3wHMpDMFTIAtS3hLiS1hypZGqdkbQFe2dzWXs+cchFpgGKpsI1w8f9C37FkmWsaNebOU940o1bM7CQsYn7rOy6R/JjTA7wV+KXvSHLm8mKp8APfQexJJgsZgGKp8DhwDtq+Lw5bgAub29qfd56Pmf3AzFaZWbXPz/Yzsw4z66p93jfWaEUSaLj/V2o3bl4JNOpkeumHaxq1152nvOn4TROmXNLc1n6j73hE8mfOTuANwG98RzIMabxBfUWxVPiv3X+YtOu6zBYyAMVS4WmgCPzBdywZthF4WXNb+0DTW64BLtjtZx8B/uycKwB/rn0vknfXMMz/K7UFmC8DErO3fwbtcE2j3jr5Q/+mO8Ii3szZQXh2YKrWQrt0HYjpgPcUS4WBtpS/hgRd12W6kIHnTDO71ncsGbQaKDW3tQ84rcU5twBYu9uPLwZ+VPv6R8CroglPJD1G+n+lWCpsAl5BuM+/NNZm4OJiqaAiRsS7Od3ApYQX1NJY3cBlxVLhOwM9IGnXdZkvZACKpUI34dzKq3zHUqc0DEEuBU4f5pqYA51zKwFqn6c2NDKR7BjS/5ViqbCF8MbNV2KILS8eBc4ulgq/9x2IiPSasxPmvAP4VyBR55qk2GrgxcVS4cfDeK6367pcFDIQ7mZWLBXmAh8m+YVC0ocgbwDObm5rf8x3ICLyXMVSoadYKvwr4Y5mOkhuZOYBp9cOXBaRxJnzFcKbN4k73yRllhLmuuetdU663BQyvYqlwpcI3+C3+o4lhRzhOT2vG+E5MU+Z2cEAtc86h0Gkf8P+v1K7qzYL+FtEsWXdfwKl2lpLEUmsOTcBrUAizzlJgesJR51HcnPa23Vd7goZgGKp8BPgVOBu37GkyDrgkua29k81t7WPdETr14TFJLXPvxpheyJZNaL/K8VS4XbgNCB1d9k82gr8U7FUeH+xVNjpOxgRqcec+4AzCXOm1Kcb+DjhYZcjPcTc23VdLgsZgGKp0Pui/yLJm1+ZtKlvvwFe2NzWPuRdQszsf4DbgGPN7Akz+0fgC0DJzLqAUu17kVyL6v9KsVR4EpgN/AsaiR7MQuCkYqnwPd+BiMhQzVkLcy4mvJB+xnc0CbcMOKNYKnyudpB83ZJ2XWfOJe2aOX6dHV3nAt8DXuA7FoCzKt97YFTPzmN9x0E4CnNFc1v7T3wHIiIj19nRVQB+CJztO5aE2QJ8FPhGsVRI2o0tERmy4BDgu4RnbHl328IjK9u2jmn1HQfhgb6fB/69thFW6uV2RKav2uKmGcC/Ew61CQSEozAqYkQyolgqdAHnAR9EozO95gMziqXC11TEiGTFnBUwZw7wD8B639EkRO8oTFtWihhQIfOsYqmwvVgqfAI4mXB6QV7dA1zY3NZ+YXNb+0rfwYhIY9V2NSsDxxGew5DXi/dHCaegFIulwkOeYxGRSMz5IVAAvg7s8ByML38D3gecViwVMrc2XFPLBtDZ0fUS4N+A8+Pu+6zK9+4f1bPzuJi7fQz4BHBtc1t7Xi9sRHKns6OrhXCqwYW+Y4nJKsLR9+8US4W8XtiI5FBwJPBZ4E3EfMyFp6llG4AvAV9twGL+xFIhM4jOjq4zgY8Qnloayws/5kLmaeBzwLea29r1pi6SU50dXecQLtDM6vqZDcCXCd/UN/kORkR8CWYC/wFcEFePMRcy2wm3j/98sVRYE1Of3qiQqVNnR9cJhIdpvglojrKvmAqZxcC3gJ82t7VrrryIANDZ0dUKXA5cAuzlOZxGeAD4NnBNsVTQTkYiUhOcDFwJXAqMibKnmAqZp4D/Ar5dLBWeirivxFAhM0SdHV2HAx8iXEA2IYo+IixktgHXEY6+3B5B+yKSEZ0dXQcA/wi8BzjCczhDtRP4JfBfxVLhL76DEZEkCw4E3gG8Ezg6ih4iLmTmAVcD1+dxuqwKmWHq7OgaS7h+5sLax6GNavusyvfuG9Wz8/gGNdcNLCA8rOja5rb2zA8zikjjdHZ0NRFOwXgtMAeY6jeiAfUAtxPmuh8VSwVtViIiQxAY4XXd62jwdV0EhczdhGf8/XdtN8rcUiHTIJ0dXacQvvAvAk4ZSVsNGJF5Bvg94cmqv2tua9fWgyIyYrWippUwz11MuPOZT5uAPxK+od9ULBVWeY5HRDIjOIUw111EuKPtsDWgkNkOdBLeqAmKpcLjI4knS1TIRKCzo+tQwjuXs4BjCbf+m1Tv84dYyPQA9wOLgLtqH3c2t7VnZo9wEUmmzo6uowgLm9NqHycDEyPqzgEPEq7vW0yY624plgrbI+pPRKQmmAa8iDDPnUp4w3rfep89jELmMcLrusW1zwu1SUn/VMjEpLOj62DCguYFu30cCYzt+9h+Cpk1wEpgRe1jJfAE4eFGdze3tWd2Wz0RSY/aiM1xhG/yRwCH7PZxEHveLGUtYX5bSXj2QW+uWwrcXSwVNkQWvIjIkARHERY1xxDmt4NrH71fP7tZSj+FzHr+nut6P1YQnuW3OA+7jTWKCpkE6OzoMsIdM8YAY05Zcp1N2LK2h3B9yzaNrohIFtQKnbHA6NpHE+HC/F3A1jwuVBWRrArGU8t1y5YcamtWT+y9rtuukeTGUSEjIiIiIiKp0+Q7ABERERERkaFSISMiIiIiIqmjQkZERERERFJHhYyIiIiIiKSOChkREREREUkdFTIiIiIiIpI6KmRERERERCR1VMiIiIiIiEjqqJAREREREZHUUSEjIiIiIiKpo0JGRERERERSR4WMiIiIiIikjgoZERERERFJHRUyIiIiIiKSOipkREREREQkdVTIiIiIiIhI6qiQERERERGR1FEhIyIiIiIiqaNCJoPM7FEzm+I7DhHJLjP7lJl9yMw+Y2Yvqf3sXDNbbmZLzGycmX259v2Xzew9Zva2YfY1z8xOq3390Ub+OUREBtOb7xrQzmQze1+f7w8xs+tH2m6eNfsOIOvMzABzzvVE1H6zc25nFG2LiAzGOffJPt++GfiKc+6HAGb2buAA59z2Bnb5UeDzDWxPRKRhBrkumwy8D/gWgHNuBfC6uGLLIo3IRMDMppvZfWb2LWAx8FYzu83MFpvZL8xsopmdYWY31B5/sZltNbMxZjbWzB6u/fyfzOxOM1tqZv9rZuNrP7/GzMpm1gl80cz2N7M/mtndZvYdwHz92UUku8zsY2b2gJn9CTi29rNrzOx1ZvZO4PXAJ83sWjP7NTABuN3M3tD3jqaZHWNmf6rltsVmdrSZzTazoE9f3zSzy3br/wvAuNqIz7Vm9lkzu6LP7z9nZh+I/C9CRDJvgHzXd3R4ipk9Wvv6str13W+AP9au8/5cy2/3mNnFtWa/ABxdy2Ffrl0vVmttjDWzH9Yef7eZFfu0fYOZ/d7MuszsSzH/VSSaRmSicyzwDuCTwA3AS5xzm83sw8BcwjuKJ9ceey5QBU4n/De5vfbzG5xzVwOY2b8D/wh8o/a7F9Ta3GVmXwcWOuc+Y2avBN4V+Z9ORHLFzE4FLiXMW82EN2kW9f7eOfc9MzsHCJxz19ees8k5N7P29af6NHct8AXn3I1mNpbwptphg8XgnPuImb2/T5vTCfPr18ysqRbfGSP8o4pIzg2W7wbwImCGc26tmTUDr3bObahN9a/Ubu58BGjZLYf1uhzAOXeimR1HWBC9oPa7mbVYtgMPmNk3nHOPN+CPmnoqZKLzmHOuYmZzgBOAW8JZZowBbnPO7TSzB83seMI33jJwHjAKuLnWRkutgJkMTAT+0Kf9XzjndtW+Pg94DYBz7rdmti7iP5uI5M+5wI3OuS0AtTflITOzScChzrkbAZxz22o/H3JbzrlHzWyNmZ0MHAjc7ZxbM5y4RET6GE6+63DOra19bcDnzew8oAc4lDBH7ck51G5WO+fuN7PHCG9aA/zZObe+Fsu9wBGAChlUyERpc+2zEb6439jPY24GXg50A38CriEsZHoXlF0DvMo5t7Q2xWJ2P+33co0IWkRkDxqRZwaqWHby3OnOY+ts73vAZcBBwA+GH5aIyHP0l+/65qndc1Tf67I3AwcApzrnumtT0AbLaXu6m9N3neEudP3+LK2RiV4FONvMjgEws/F9hgoXAFcSjtCsBvYHjgOW134/CVhpZqMJ/1MMZEHv783s5cC+Df9TiEjeLQBebeFuZJOAC4fTiHNuA/CEmb0KwMz2qq3/eww4ofb9PsCLB2iiu5YTe90IXEA4NfcP/T9FRGRIBsp3jwKn1r7e0yL9fYBVtSKmSDiCArCR8NpuoD57r+VeABwOPDDsP0FOqJCJWK1AuQz4HzNbRljYHFf79e2EQ40Lat8vA5Y553rvAnyi9pgO4P49dPNp4DwzWwy8FPhrI/8MIiLOucXAz4ElwP/y9ymww/FW4AO1nHgrcFBtvvd1hHnwWuDuAZ77XWCZmV1bi2sH0Alc12e6rYjIsO0h330FeK+Z3Qrs6ZiLa4HTzOwuwuLk/lq7awiXGlTN7Mu7PedbwCgzu6fW92UN3vExk+zv18wiIiLpUlvkvxi4xDnX5TseERGJj0ZkREQklczsBOBBwoWwKmJERHJGIzIiIiIiIpI6GpEREREREZHUUSEjIiIiIiKpo0JGRERERERSR4WMiIiIiIikjgoZERERERFJHRUyIiIiIiKSOipkREREREQkdVTIiIiIiIhI6qiQERERERGR1FEhIyIiIiIiqaNCRkREREREUkeFjIiIiIiIpI4KGRERERERSR0VMiIiIiIikjoqZEREREREJHVUyIiIiIiISOqokBERERERkdRRISMiIiIiIqmjQkZERERERFJHhYyIiIiIiKSOChkREREREUkdFTIiIiIiIpI6KmRERERERCR1VMiIiIiIiEjqqJAREREREZHUUSEjIiIiIiKpo0JGRERERERSR4WMiIiIiIikjgoZERERERFJHRUygJmNNbM7zGypmS03s0/7jklEpNHM7FgzW9LnY4OZXek7LhERkeEw55zvGLwzMwMmOOc2mdloYCFwhXOu4jk0EZFImNko4EngTOfcY77jERERGapm3wEkgQuruU21b0fXPlThiUiWvRh4SEWMiIiklaaW1ZjZKDNbAqwCOpxzt/uOSUQkQpcC/+M7CBERkeHS1LLdmNlk4Ebgn51z1ca1HEwETgGmA1MH+NgfMGAnsPOB9WMW/vbxvU8ANgDPAH8FHgYe6v08t6V1VeNiFJE8MLMxwArghc65pxrbejAWmAkcw3Pz2wF9vp5COCOgG9i5fkfT4u//335HEua69cAThHmub65b2dg4RUSGr1ytNAGHAUfv9nEEMI4wx/X9GFX7vAt4mvDG+VOEufhR4JHax4NzW1p3xPhHSTUVMv0wszZgs3PuK8NrIWgGTgTO6PNxAkMcAVu+bq/5f3hy0qxBHrYRuItwXc9C4La5La0bhxyyiOSGmV0MXO6ce+nIWgqaCHPbGcDptc8nEk7Prdu67U23/bBrvxcN8rDNwBL+nutumdvSum7IIYuIDEO5WjkGeAlwPjADOBIYE0FX24A7qeU5wlz3TAT9PI+ZPUp4XbkL2OmcOy2OfkdChQxgZgcA3c65Z8xsHPBH4IvOuaD+VoKjCadqvJxw5GXcSOO6e83Y+Z0rJw5WyOxuF7AMWAD8Elgwt6W1Z6SxiEh2mNnPgD8453449GcHhwCvBy4iLF4mjjSe1VtH3fKTh/Y9e4hPc8C9wM3Ab4COuS2t3SONRUQEoFytTCVcS/iS2ucjPIXigOWEhc0CIIjqhnWtkDnNOfd0FO1HQYUMYGYzgB8RDvs1Adc55z4z+DODacAbCAuYhlett68ed/MtT004d4TNrAT+F/g5YVWvf3CRHDOz8cDjwFHOufX1PSs4AHgdYa47hwavr1yxpXnBzx6efN4Im1lLOC3458Bf5ra07hp5ZCKSJ+Vq5VDgbYS57kTC6f5Js5XwRvWPCW/gNCzXqZDJhWAK4d3INwJnE+GL/Oa/jb/lzqfHD/Uu5Z48Sbi495tzW1q1U5GI7EGwN38vXs4nvNETiUc3jp5/w2P7DHX0eU9WA9cD35jb0npfA9sVkcwJRt+zdq8LOlZMuhwoka6NsFYCPwV+NLel9Z6RNmZmjwDrCEeBvuOc++5I24yaCpm6BUcDHwIuA8bG0eOfV0yoLF07rjWCpncRjtK0z21pvSOC9kUktYJDgCuBdwN7x9Fj1/ox83/z+N6NLGR6OeB3hLnuLxG0LyKpFRwIvBd4l3OM+/q9+4/d5SyW67uILAG+Cvz3cEdpzOwQ59wKM5sKdBBufLWgkUE2mgqZQQUnAp8AXkvMVfpNj0+86/71Y6NeaHULUAZ+qbU0InkWHAV8DHgL0SxgHVCdG5uM1BLCXPczraURybNgf+DDwOXA+N6fRjALxpcHgE8DPx/JdZ2ZfQrYNPyNr+KRpuGzmAXHQvAzYClwCR7+rnb0WBwHlp5NODpzV7laifpCQkQSJzgcgqsJ3/z+gZiLGIDtPRbHPPSZhHPKl5erlYtj6E9EEiXYB4LPEm5x/K/0KWIATp+ydZKXsBrvWMLpZkvL1cprytVKXfnVzCaY2aTer4GXAg08hiQaGpF5nmAy8CXCN/TI5oTX47pH9r73ic1jToi52xuBf53b0vpQzP2KSKyCccCnCKeRxV689FVZNW7hrasmnBNzt38B/mVuS+uymPsVkVgFo4G5wEeAyXt65E8enPzQ6m3NR8cSVnzuBtrmtrT+Zk8PMrOjCK8BITzv5qfOuc9FHdxIqZB5juDVwH8CB/uOBOC/H9yna9W20QUPXe8Avg78+9yW1jp3NRKR9AhmAd8jPLTSu/l/G3/roqfHn+Wh6x7gB8DHdLiwSBYFZxLmupZ6Hv34ptELfvHoPiPdQTGpbgLeM7el9XHfgTSSppYBEEyF4DrgBhJSxAB099henroeQ7ixQbVcrZw/0sbM7DAz6zSz+8xsuZldMfIQRWTogr0h+A7QSUKKGIAdu5rimEbbnybgncB95WrldY1o0MweNbN7zGyJmd3ViDZFZKiCiRB8HbiVOosYgGkTumeMMrcturi8egXh1Nr31TvdLA1UyBC8lfBQtUt8R7I7j4VMr2nAn8rVSnu5WhlJLDuBDzrnjgdagcvNLO4pcyI5F8whzHXvImFnI+zoMa/TeIH9gF+Uq5UflauVRsyTLzrnZqbhVGyR7AkuIDxA8p8Z4nWuGZNP2X/rokjCSoZJhDOP/lSuVqb5DqYRclzIBFMh+C3h4s/9fUfTn+4eG+c7BsILnrnAneVq5cThNOCcW+mcW1z7eiNwH3Bo40IUkYEFEyH4b+A3JPT/3Y5dNtp3DDVvI1wgG/d6HREZsaAJgs8RTqE6fLitZGjR/56cDywrVyuJu4k/VDktZIITgTsIh9kSqztZ+5mfSFjMvHckjZjZdOBk4PYGxCQiexQcTrjF+pt9R7InO3rM62YDuzkSmF+uVj41zOkXDvijmS0ys3c1ODYR6VcwBfgD8FFGOOI8ttnNOGDszjxseLQvcF25Wvl2uVrxNb13xHJYyASvIHxjP8J3JHviHLt6XKLe3AH2Ar5Vrla+Vq5WhvzaMbOJhFs9X+mc29Dw6ESkj+BFhDdsZviOZDAJK2QgfG9sA35arlaGekPpbOfcKcDLCafRZnXhsEhCBKcDi4GXNKrF2QdtfrJRbaXAu4GgQdNqY5ezQia4Evg14RzBpNvqO4A9+ADwq3K1MrHeJ5jZaMIi5lrn3A2RRSYiQPAmwgX9B/qOpB47dnlfDziQS4E/l6uVA+p9gnNuRe3zKsKtTM+IKDYRCdc53wwc1shWp03oPjHDi/778zLg5nK1ksjpx3uSk0ImaIbg28BVeD4bZgiSXMgAzCF80Q+6WMzMDPg+cJ9zrhx5ZCK5FVjtwLdrCUdQU6G7J1HTaHd3FlApVyvHDfbAtB4oJ5JOwT8DPyKCXGfGvhlf9N+fkwhz3bDWQ/uSg0ImmAT8nnDoLDVceJZL0s0Ebi9XKy8c5HFnA28Fzq9tSbrEzBK9PkkkfYLRwM+Aj/uOZKgSsrHJnhwF3FauVs4e5HEHAgvNbCnhtL7fOud+H3l0IrkTfJzwvLvIdmDMyaL/3U0DFparlZLvQOqV8QMxg72A3wFF35EM1c4eHvr6vVPScrrsKqA4t6X1Xt+BiORT0EQ4CnOp70iGo1zd34ElakvoAWwCLpjb0nqL70BE8iv4MuFZd5H7yYOTH1q9rTkt12KN1A28dW5L6899BzKYDI/IBKOAn5PCIgagx9HtO4YhmAr8pZ6pFyISif8kpUWMc2xLSREDMBH4XblaeZHvQETyKfgWMRUxALMO2vxEXH0lzGjgx+Vq5cW+AxlMRguZoHdNxsW+IxmuHmdpmFrW14FAR7laSfRucCLZE3weeI/vKEYg6esBdzcJuKlcrSR+NziRbAk+CYzoCIihOmxC94ycLfrvawxwY7lamek7kD3JaCFDGXi77yBGYpdjp+8YhmEaYTEz1XcgIvkQfAj4N99RjISDNF4kTAb+UK5W8jjlRMSD4DLg03H3Wlv0vzjufhNkEuEo9JG+AxlIBguZ4OPAlb6jGKmdztJYyAAUgBvK1UpSTuoWyajgncCXfUcxUs6x3XcMw3QQKT57QSQ9gpcCV/vq/bQpWyf46jshDiK8cVP3NvRxylghE/wD8FnfUTRCigsZCHcp+6rvIESyK3gF8G3fUTRCTzp2aBzIccCPytVKWtb4iKRMMBO4HvB28vy4ZnfSAWN3PuSr/4QoEN64SVxRl6FCJphJuOA1E3b20OM7hhF6X7laSfX0PpFkCg4HfkJ6zsTao13pWw+4u1eT8ul9IskU7EN4qKz3Uc8cL/rv6wzgh76D2F1GCplgEnAdkORD1Yaku8d2+Y6hAb5drlZO9R2ESHYEowlz3X6+I2mUlO3QOJDPlquVl/kOQiRjrgam+w4Ccr/ov69LytXK23wH0VcmCplVT038LOGwV2Z092RipsJYwvUymbnoEvHp4QenfMg5zvAdRyPt7LEsFDJNwE/L1cp034GIZEPwT8AlvqPopUX/z/GNJOW61BcynR1db16+7JAPLF08bX5PTybu7AHQ3WNZOan0cOBrvoMQSbvOjq4XP/bI/p+7dcHRi7ZvH7XadzyNstNlYvQZwlGy7/sOQiT9ghNI4HXDaVO2TvQdQ0LsTXjGTCJqiEQEMVydHV3TgG+C2do1E2YtnFd4Rilu4QAAIABJREFUcPOmMY/6jqsRdvSk5oC4erylXK1c4DsIkbTq7OjaF7gGsB07mk+7dcHRPLVy0l2ew2qInT1kpZABOL9crfyj7yBE0ivYC/gZMM53JLsb1+xmaNH/s84F/tV3EJDyQoZw0dHk3m927Wo6/o7bpk959OH9F3qMqSF27MpSHQPAd8rViu5miAxPmfCcpho74N7qwacuWTRtfk9Pqnf9orvH0r6xye6+Uq5WDvYdhEhK/Stwou8gBqJF/8/xmSQclpnaQqazo+u1wEue/xub+MhDU865/Zbpt3Z3N62PPbAG2dFjmdiRqI/DgS/4DkIkbTo7uk6j3wN+zdatnTBr4bzCQ5s2jXkk9sAaZEd2ptH2mkyGdtAUiU9wOAnfAbC26D+tZ1812hjgv32fG5jKQqazo2s0g1wUb9my11m3zD9m49qnx98TU1gNtb3HUvlvM4j3lauVs30HIZIyXwUGHKLdtavp+Dtvmz71kYfSORKdkY1NdvfqcrXyWt9BiKTMVcB430HsiRn7nrz/1kxM622QFwLv8xlAWi+W3wccM9iDnLNpS++edsLyZQfPdy5d87B37GrK2ogMhBdjZd9BiKRFZ0fXpYQHzA7CJjz68JRzKrccmbqR6AyOyPT6SrlaGeM7CJF0CErAa3xHUY/Tp2z1fq5NwnyyXK3s66vz1BUynR1dk4FP1P8MG7Xqqb1nLZx3THXr1uYVkQXWYDt6zNspthE7o1ytXOQ7CJGk6+zoGgt8cSjP2bplTDgSvSY9I9E7dmVy9BnC8y/e6TsIkeQLRgNf9x1FvcY1uxlT9tr5sO84EmQ/4OO+Ok/jG8jHgf2H+qSdO0edVFl41PgnHp9ciSCmhtuxK7OFDISHx2VyPolIA32IcG3ZkDhn05Yunnb88nsOnucciV9In9FptL0+Vq5WErf7kkjCvAM4zncQQzH74M2P+44hYd5frlamDf6wxkvVG0hnR9eRwPuH34JN7rr/wNa7bj/i5l27bEvDAovAjh7L8pSEGcAbfAchklS17ZY/PPwWrHnV3/aevXD+Mcu2bW1e2bDAIrBjV1Oq3oeG6BA8zx8XSbZgNPBR31EMlRb9P88YPP07pu0N5BPAXiNtZOOGsefe3HnM39Y/M/aBBsQUiYwXMgCfLlcrWVwHJNII/wSMeLvynd2jZt628KixK57Y5/YGxBSJ7dmdRtvrI+VqRXPqRfr3FuAI30EMVW3R/yLfcSTMP5arlSHPIhip1BQynR1d+wFvbFR7zjUdtfjOw6c/cN/U+c6RuMWm3T024oIt4V6ARmVEnqezo6uZEY087872feC+g85cdMfhC3btsq2Na7cxMj6NFmAK8B7fQYgkT2Ak5FDF4Th9ytYJvmNImDGMaCbB8KSmkAEuA8Y2tknba8UT+8669eajFm3fPmp1Y9semRwUMqA3d5H+vAY4rNGNblg/7ryF8455csP6sV2NbnsktveY1zMIYvJurQsUeZ5XAsf7DmK4xjW7k7To/3neEve6wFQUMp0dXQa8O6r2d2wffdqtC47mqZWTErM3eHdPo4u2RDq3XK2c4DsIkYS5MqqGe3qajll0x+GHdT1wwIKo+hiqHbsyP40W4Gjgxb6DEEmYK3wHMFKztOh/d3sDr4uzw1QUMsD5hFORImQH3Fs9+NQli6bN7+lhR7R9Da67x/Ky001kBapI2nR2dJ0JvCjaXmzsE3/d77xbbz7qjh07Rq2Ntq/B5WA9YC/lOpFnBdMIr+1S7fAJ3Sdq0f/z/EOcnaWlkHlvPN2YrVs7YdbN8woPb9o45pF4+nw+5+h2ZH7eeK+3aXtSkWddHldH27eNPuOW+UfvWP3UxLvj6rM/3T2Wh9FngIvL1cpBvoMQSYg3k55r0AGZsZ8W/T/PrHK1cnRcnSX+RdTZ0XUIcHGcffbsajruzsr0qQ8/uP/NcfbbR+IW5EZoMvB630GI+NbZ0TUaiPmwWDuouuyQk5bdfej8nh52xtt3KCfrAQFGE/OdSpEEe6vvABpFi/6fxwjPBopF4gsZwqrdw+iETXjskSnnVhYeeVt3d9P6OHt2sC3O/hLgUt8BiCTA+cA+8XdrTWuenjhr4bxjHtiyefRf4+49R9NoQblOBAhOBl7oO4pG0aL/fr29XK3EUmOkoZC5wGfnW7eOedEt84/ZtObpCcvi6tNB3uZbFsvViu5oSN69xmfnu3aNeuHttx45+a+P7ntLXH06h9vpcrGxSa8TfZyzIJIwb/EdQKNp0f/zTANK/5+9O4+Tq6rzPv75VVfv6ezd2UlCUgSSsAQCJEIIpZYLxnUUZdQBx13G0Sc6I4/jGB2XwdG0o+KuCM6DiCKMWq4tdFZSWchaWZtAFrLv6SS913n+uBVoQrq7urvuPffW/b1fr351urvqnG+2U/W79yxedOTrQqa+rqESuNl2DmNkzMZ1Y6alN4xebAwd7vcXukKmFHi17RBK2VJf1xDB4ym0FycDdzbU3LRqxYRl7e1yxoMOm0HCti3xG2wHUMqyt9oOkG+66P+iPBnrfF3IALfiHLDjA1J05HDV3GWLJm9uOlf8vJs9ZYxY3zXNAn1xV2E2GxhhO8R5Z8+U3rxsUezYyRPlW1zuKkzrAc+bZzuAUvYkJwITbafIt+yif98c4eETt3rRid8LmdfaDnCh9vaiq1LLJ1bt3TN4hVt9dBja3Grbx7SQUWHmuyuUxsj4dWvGxbZtHrHYGIwrfYRvPSDAK2vTqQrbIZSyJPBbLnfl+uFNA2xn8JnptenUMLc78XshY3V9TNdk0DPbR8xenRq/tKNdzua79Q4jYSxkRtemUzNsh1DKEp9OrZTiA/sHz12+ZNLalubo4Xy3ngnfNFqAMgr4zZxSPSjYg2Gzi/6tHd3hQwLc4nYnXe4GJiLfga6vwhlj/tmVRFn1dQ0TgZibffTXmcayOUsXTX7umuuebx48pOmKfLXb4cE6HJ96BWD1TAsVTjbHu/q6hgHAdLfaz4e21uh1Ty299Ojl0w6uHjX69PX5ajcTvo1NznsFkLQdQoWP7fd2FHgRP3fU2T2/2TWo4KbO9cOtwONudtDdHZk1wNM4V4+uBRqyH9eAJ2+0fXqF8qWMiUxct2bcpG1b8jf9oj0jVs5z8IFrbQdQoWVzvLseKHK5jzyQ4ds2j7p+3ZpxizMZyUsBkgnn3WfQsU7ZY3GsS07FR2sB3aCL/l9mrtsddFnIGGMeNMY8iHNXJG6M+Y4x5js4twWvcTuYR33kiZQc2Dd47lN5mn7RZiSTj1QBpC/uygrL490NLrefVydPVMxdWj9515nG0n6fm9CRCeV6QACdRqussDzWXedy+9aJMPSaYU1P287hI1fVplND3ewglzUyo4GqTl8PyH7PbVd60EdetTrTL+Tg/oGr+9NOW4awFjLTatMpn+xSp0LKxngXoIs2jkwmMmV1avzIZ58ZvrQ/7bSb0N59rqlNp8baDqFCzcZYl7cp+H52w/Am3czjRQLc6GYHXa6R6eReYJ2I1Ge/ngt8wbVELwpcIeOQ6q2bRw4/sH/Q4quvfX5WJGJKe9tCWyZsxyq8oBjn712vZihbbIx3V7vcvkukYvdzw+YcPli14robd08tLs4M6m0LIS5kwLkD7epW/kp1w8ZYN9Xl9n2hPGquGV7a/tzRlqiulXG4+ufQ4x0ZY8zPcKqpx7Mfs7O3JV1TX9cwChjsZh/uEjk//aKxsXRnb5/d1iGubHUaEDrlQlnj9XhXX9dQClzmVvteaGoqmb188eQzx45Wbuztc9vDe/cZdKxTFtl4b0dI7siAs+jfdgYfmeBm4z0WMiIiOAvvrzbG/BYoERG353RPcrl9T2QykSlrUuNH7Wzo3fSL1kzoTrrubILtACq8LIx3YwjEQv/uGSNjNq4bMy29cfRi04tdF9syoV0PCAV4KKAKDu/HumQJBfLeLhe66P8lxrvZeC5rZL6Hc+r0HdmvG4HvupbIcanL7XtIKvbsGjZnxbKJqba2yMlcntES7kJmlO0AKtS8Hu8KaAcfKTpyqGruskWTNzedK96XyzPaMqG++zzSdgAVal6PdTEK4KJNrnTR/0tMcLPxXAqZG40xd5M9gdkYcwJwe0F2ARUyjuamklnLFk1uOnqkcn1Pj23tiPj9oFI3aSGjbPJ6vCu4N7Pt7UVXpZZPHPD8nsErenpsa3jXA4KOdcour8e6Arpok5sbhjdV2s7gE9bvyLSJSBHZA5REpBpcn9dc43L7lsioTevHXLVp/ehFmQxdLnJtzUhorlpcRMG9sVOB4vV4V6D/3mVQw/YRs9ekxi/t6JBzXT2qtUMLGaUs8XqsG+Ji275UHjVXDy9tf852Dh+oqU2nytxqPJdC5ts4C8FqROQrwDLgq24Fyip3uX2LJHL0SNWtyxZP3nruXPFFd6wJeSGjL+7KJq/HuwItZByNjWVzltZPPnjqVNn2i/085NNoh9emU7nsHKqUG7we61w9S8SvdNE/4GzB7NpdmVx2LXsI+FfgP4EDwFuMMb92K1BWARcyjo72oitXLp9YtWfXkKcu/Flrh4T5xa2mNp0KcyGnLLIw3hV0IQNgTOTStasumbBjW83iC38W8mm0Qgin2yh/sDDWhe6ODOii/06Gu9VwLruW/QcwDnjAGHOfMWarW2E6KfhCxiGDdjbUvGLVivHL2tvlzPnvtmZCXchEAD1MSllhYbwb5nL7PiGl+/YOmfvUkktXt7YUHT3/3ZZw332Glx5IqJRnLIx1obwjI8LQa4bqon+ccwJdkcvVsF04u1qsEZFVIrJQRN7sVqAs1+bS+dHZM2U3L1sUO3byRPkWgNaMhP10+zAXcsquXXg/3oVGS0vx9cuXTMocPlj1NIT+7jPoWKfs2YW3Y12vD8wtFDdU66J/XCxkehxEjTH3A/eLyEjgduDTwIdw90pSSO7IvMgYGb9uzbi2UaNPLWopbrnEdh7L9MVdWWFhvAvhyfZSs3nTqOoD+wctahp6eqDtNJbpWKessDDWhXar9fOL/o+2RMN8dpRrF+h7HERF5CfAVOAQsBR4O7DWrUBZoStkHFJ8eG/FzL9f+cviMK+ABWD6LNsJVAhZGO9yPjyysIgcP1Z5a83+zIGZe9csqjnyzLiI6QjNYXmdiI51ygYLY12o14lcc6Zyz7GjA8JcyAjT3Wk4l6tBw3AOMToJHAeOGmPcvoro2i0ovxtxaNsmcQ6pCrNW2wFUaHk93oXwjsyLWkqrRjVMjo9qmBxn0Kl9myfsWXWsqvHQVQKDbWfzSKj//pVVXo91oX5drx7RWHHs6ADbMWxy7d9WLlPL3gogIlcArwXqRaTIGDPWrVA4/7FCadTBLaG9/dpJm+0AKpwsjHchvSPzcqcGjZm24cq3IpmOlpGHtq4Yt29dtKT17Awp7OlXOtYpKyyMdaEuZIZXn7kMjIHQbjlvr5ARkXnAHOAWnO3znsS5DemmIy6370uS6Wgtbz7p0s23QNEXd2WFhfFOC5kLmEhR6YFR02cfGDWd4tazR8bvfXpLzZHto4syHTHb2VwQ2ot2yi4LY12op5YVF2cGRSKmIZORQhzHcnHCrYZzudL1emAJ8C1jzH63glwglIXM8GM7NwrMtJ3DshPRBQu1kFG2eD3enen5IeHVVlJZ/cykW+Y+M+kWqk4f3DZhz8rDg04fmCaFsW11hpC+1ilf8Hqsa/KgD18bUNVy4PSp8rAWMofdajiXqWV3i8h4nEVh+0WkHIgaYxrdCoWLv2E/G3NgU+j/owN6Cq6yxsJ4t9eldgtO48CRl2+a/ubLJdPRNuLw9lXj9q0zpS2N10pw11Qeiy5YqHfklBUWxroDLrUbGNU1jdHTp0K6l5WLF21yORDzg8CjwA+z3xoL/K9bgbLCd5XKmMyAM0cutx3DB7SQUdZYGO92u9h2QTKRouKDI6fesPq6d9+48vo7T+8bOX1JRyTqxUHN+RbKC3bKH3Ss817NiMaw7lrWGE/Emt1qPJcDMe8GbgJOAxhjGoAatwJlha6QGXJyT1qg2nYOH9BCRtnk9XgX+hf3/mgrLh/27KU33/LUrA9cse6qtzWcGDR2sUGCUiAc6uoHIjJOROpFZKuIbBaRT2S/P1RE6kSkIft5iHdxVYHxeqwL/Wt7WXn7KBHzvO0cFrg6JudSyLQYY17YbUJEorh/sFFQXojyZuz+ja4thAoYfWOnbPJ6vNN/73lyZkBNLD1t3txlsz84bPvk+OqmsoErjL8XGHc31aYd+JQx5gpgFnC3iEwF7gGeMMbEgCeyXyvVF16PdfvR7capqGgN45i/y83GcylkFovIZ4FyEUkAvwZ+72YoYKfL7fvOwNP7w3gY3MWE/qqNssrT8S6eiB1BF8Hml0SKDtdMuX7NtX8/O3X9XU3Pj756SXtR8WbbsS5ie1c/MMYcMMaszf66EdgKjAHeDDyYfdiDwFvcDqkKlsfv7eZ1APvcaz8YhlWfydjOYIGr428uhcw9OFO9NgEfBv4IfM7NUPFEbC8huitT1Xhwe8Tdc3mCRAsZZZPn4x36b9417cVlg5+bMPuWFTe+f9raq9/x7LEhlywyiF8WHef04i4iE4AZwEpghDHmADjFDu5P81aFy8ZY96zL7ftezYjG0bYzWJB2s/Fcdi3LAD/OfnhpDXCbx31aMXbfhgPAFNs5fMDQzVVKpdxmabzbjP7/d93ZymGXbrnitksxJjP82M6nx+9d01LedHKGgK1thHp8cReRAcBvgE8aY05LaM/SU/lmaax7Goh72J/vDKhquRTMcZChtrN4yNU7Ml0WMiLyK2PM7SKyiYvMmzTGXOVmMEJUyAw5uWeM7Qw+sSW6YOFx2yFU+Fge71YDb3OxfdWZSOTo8MnXHR0+maL2ltNj921YM+pgelBxR6vbr2mdNQIN3T1ARIpxipiHjDGPZb99SERGGWMOiMgoQjRzQeWH5bFupYttB4IIUlrW/kxLc/ENtrN4yE4hA3wi+/lnwCq8P+9gjcf9WVF+7sTuAj2xui/cPFVYqe7YHO9WediX6qQjWjpw9/gb5uwefwPl507snrBn1a5hx3dNFozbF5c2RBcs7HJhtTi3Xn4KbDXG1Hb60e+AO4F7s59/62pKVYhsjnWhL2QAhg4723Rg32DbMbzyXDwRO+VmB10WMufn4QJVOPuMHwd+CTxqjOly28g8CkUhM2b/xl3AeNs5fEILGWWF5fFuNdABFLncj+pGU8WQ8Vsvf+14jDHDjj+3fvzeNWcqzh2fIVDpQndP9fDzm4D3AptEZH32e5/FKWB+JSLvx1lb9Q4XsqkCZnesm7cXkvuBMK4TeUHNiMZhISpk6t3uoMfF/saYLxpjpuHsOT4aZ6eLv7kdLJ6IHcDZrq+gVR/bOcx2Bh9ZYjuACjcb4108EWsE1rrZh+oFETk27NJr1l5z+80rbvxHs2vc9cvbomXrTX63pq3r7ofGmGXGGDHGXGWMuSb78UdjzDFjzKuMMbHsZ52Kq/rE1ns79K4Mg4ecmwImLLtV2i9kOjkMHASO4d1OKSs86seKkpYzh4o6WqfZzuETu6ILFobxoCjlT16Pd4s86EP1UkdRyYC94667KXXDXdesmXHHviPDJi3OSKS/50CcQ+8+K//Iy1gnIlNEZH2nj9Mi8smLPHR5X/soFJEIxcXFHWHZ2OhJtzvosZARkY+KyCKcw7eGAx/Mx2IwEdklIpuy/+C7mkaW7G8/fjb6QHq7gG5D49AXdmWdW+NdDlwf7FX/NJcPGrttSmLu8tkfGp++4vUbGyuHLzXOov3eWhJdsNDPB3WqEMj3WGeM2X7+7iFwHU7B/vhFHvqHvvZRSAYNaTppO4MHtscTMddnVvW4/TLO+o1PGmPW9/jI3osbY4528/MkBTx3fMSR7W7MvQ4q128/KpUDN8e77jwJnARCM3E6yE4MGX/ViSHjiXS0nRt9ML18zP6N5cVtTddIbrMc/up6QKV65uZY9ypgpzHmIncv522D5DPAZBf6DYyaEY0Djx6ush3DbV5MVcxpjcw9Fl7UAYgnYkfpeVFkIEXbW04VtzV5ud2nnzUDj/X4KKVcZmu8iydirej/gcDJFBVXPD9mxk0rr7/z2tXXvvvQoerLFmUk8lwPT/uzJ+GU6obLY927gIe7+fnvXOo3MIYNPxsD02E7h8se8aKT3qyRyTcD/FVEnhaRD3XzuEe9CuSlkYe2pAWKbefwid9FFyx0dXs+pQLgl7YDqL5rKasatSP2yluXz/7QxE1T56VPD6hZauDCcW1TdMHCrVYCKuUBESkB3gT8upuHdfezUIhGM1VFRabbs6QCbi+wzIuOcpla5pabjDH7RaQGqBORbcaYi+1a9QhQS4FNLxt5cGtB/X766ee2AyjlA0/iLLz1ajMV5ZKTg8dOPzl4LJJpbx51cMuKsfvXF5e0npsh8JDtbEq57PXA2h62cl6Js334Jd5E8qeqgc2HTp6ouNx2Dpc8Ek/E8rnTY5es3ZExxuzPfj6MsyDsoqecxhOxQxTYQljJtDeXtZy+0nYOnzgE/MV2CKVsiydiHeiVyoJiItGy/aOvmr1q5j/MXHXdew4fqo5pIaMK3R10P60MmGeA//EijJ9V1zSW2s7goh7+DeSPlUJGRCpFpOr8r4HXAOlunlJQ/+BrjjRsdOmQtSB6OLpgYbvtEEr5hE4vK1CtpQPWj/nYR3SLeVWwRKQCSJDber8f4GzmFFrVIxon2c7gkq3xRMyzs9Fs3ZEZASwTkQ3AKuAPxpjuFkA+QgEdjjn6wKZW2xl8RKeVKfWi5cAW2yGUK35iO4BSbjLGnDPGDDPG5LDmdd7zwP+6HsrHSks7qkXMLts5XPBtLzuzUsgYY541xlyd/ZhmjPlKd4/P7ujzTY/iuctk2ivPHddDMB0bogsWrrMdQim/yM4p/prtHCrv9gO/tx1CKZ+5z3YA2yoHtBTaXdpjwINedmhz17Le+iHOOQuBNuz4rk0CQ2zn8Al9w6bUy/0CZyGsKhxfiydibbZDKOUv8xYBm2ynsGl49RnbEfLtB/FErMnLDgNTyMQTsUbge7Zz9NeY/RtP287gEzvwaI9xpYIknoi1A9+wnUPlzX7gR7ZDKOVT37EdwKaaEY3jbGfIo1Ys3GULTCGT9S3A00ovr4wxAxsPXWY7hk/cG12wMGM7hFI+9RPgiO0QKi++Fk/Emm2HUMqnHgB22g5hS+WA1vFgCmWs/3k8ETvodaeBKmTiidhh4Ge2c/TVoNMHtgpmlO0cPtBAge1Ep1Q+ZW/Ne7pgUrlC78Yo1a15bcDnbKewqay8rRAKuXPAF2x0HKhCJuu/gEBe3Rqzf8Nh2xl84nO65bJSPfoOelcm6PRujFI9ewTwbLtevxk2/GyL7Qx58N/xRGyfjY4DV8jEE7HdwFdt5+iLISf3jredwQeeRg/9U6pH8UTsFPCvtnOoPnsevRujVA7mGeAe2ylsqRnROMJ2hn46gsXNmwJXyGR9DdhuO0RvVJ49ujNiMhNt57DMAPOjCxYa20GUCogHgWW2Q6g++ZjejVEqV/PqgDrbKWwYNLgpBqbRdo5++FI8EbO2kVUgC5nsuTIfsZ2jN8bs37DXdgYf+G50wcIltkMoFRTZc2U+BuhUzGD5dTwR03NjlOqdjxPQpQP9IUJRSUnHDts5+mg98H2bAQJZyADEE7FFBOhU+GHHdtXYzmDZs4T41rFSfRVPxDYR8i1KA+YEzhsypVSvzNsO/LvtFDYMHnouiAfKtAF3ZY8MsCawhUzWp4HjtkP0pLT59P5opm2q7RwWGeD90QULz9oOolRALcDZAUv536fjidgh2yGUCqhaYIXtEF6rGdE4yHaGPvhqPBHbYDtEoAuZeCJ2hAAshh1zYFOD7QyWfT+6YOEi2yGUCqrsgcAfxLkooPzriXgidr/tEEoF17wM8D5CNsVs6LCzU8C02c7RCxuBr9gOAQEvZADiidhP8fkJ8TVHGgbazmDRc8BnbIdQKujiidgfgW/azqG6dBL4kO0QSgVf+KaYFRWZ8qJoJiibWLXiTCnzReEV+EIm6x9xqkPfibY1HY+2N19lO4cl7cD7ogsWBnHup1J+dA+w2nYI9TIZ4I54Ivas7SBKFYiFwO9sh/DSoEHNx2xnyNEn44nYOtshziuIQiaeiJ0D3ooP18uMPrh5i0CR7RyW3B1dsHCx7RBKFYrsFbC3A0dtZ1Ev8W/xROzPtkMoVTjmGeA9wFbbSbxSPaKx3HaGHDwUT8QuukuZiNwvIodFJN3pe0NFpE5EGrKfh+Q7UEEUMgDZK2F34FwZ840Rh7aV2M5gSW10wUI9DE6pPIsnYnuA24EO21kU4Gy1fK/tEEoVnnmNwJtxpm0WvOrqxhgYP6+DXIuzVrMrDwCvu+B79wBPGGNiwBO4sHttwRQyAPFE7K/Av9nOcV5RR+uZ0tYzYZxW9jvgX2yHUKpQxROxemC+7RyKjTgLk5VSrpjXgA8vUruhuCQzJBIxfp2eegh4SzwRa+rqAcaYJbx8ZtSbcQ52Jvv5LfkOVlCFDED2ytivbOcAqDm8Y5NAme0cHlsH/H10wcKCH3SUsimeiH0b+A/bOULsKM4Lu24rr5Sr5v0Z57iNgjdgQMs+2xku4iTw2ngi1peD3UcYYw4AZD/n/UzFgitksv4B+IvtEKMPpsP2Zn4/8EY9L0Ypb8QTsQXoTmY2nAQS8UTsOdtBlAqHed8EPm87hduG15yJ2s5wgbPAG/xwXkxXCrKQiSdiLTi3r560lUEyHW3lTSen2+rfgoPA66ILFvrxaoJSBSueiM0Hfmw7R4g0Aq+LJ2LrbQdRKlzmfQn4su0UbqoZ0XiJ7QydtAJvjSdiT/WjjUMiMgog+/lwXpJ1UpCFDEA8EWsG3ggsstH/8GPPbhAI4kmtfbELmBNdsHCT7SBKhdRHgF/YDhECp3GKmJXF3RvkAAAgAElEQVS2gygVTvP+Hfgv2yncUl7RNhYx+23nANpwtpSv62c7vwPuzP76TuC3/WzvZQq2kIEXtmW+DfiT132PPrCpywVRBWYLcFN0wcJnbAdRKqziiVgG50Xil7azFLATwKv7eXVSKdVv8z5DAU+prShv3WU5whngjfFE7LHePElEHgZWAFNE5HkReT9wL5AQkQYgkf06r8T4eqe3/KivaygBHsI5f8F9xmRuXvHDYwLVnvRnzyrgtuiChUE5xEmpglZf1yDAl/DR7o0FYj/OPHGdTqaUbyTnA1+nwC7KP7Ojesne3UNvsdT9EeC2eCK2xlL/vVZQf/ldiSdircC78Oh25JCTe9MhKGKeBF6lRYxS/hFPxEw8EfsccBfO/GbVfyuAmVrEKOU382pxDkMvqA2GakY0jrLU9bPAK4JUxEBIChmAeCLWEU/EPgO8DWees2vG7N94ws32feDnOHdiztgOopR6uXgi9iDObfwL9/RXvfNT4NZ4InbAdhCl1MXM+x0wByiYjYaqBjZPBuP1IaCLcYqYwC0TCE0hc148EXscuB5Iu9XHoNP7J7rVtmXNwAejCxbeGV2wsMV2GKVU1+KJ2BJgFrDDdpYAagc+Hk/EPpC9o6+U8q1564Abcaa7B54IUlra3uBRdwb4T+BV8UTskEd95lXoChmAeCK2A+cffd53+RnQeGhHxGT8tH1evuwAZkcXLPyJ7SBKqdzEE7EG4Drgh7azBMhhnDNi7rMdRCmVq3n7gJtwtmfusBym34YMO+fFdLnjwLx4IvbZeCIW2D+zUBYy4OxoFk/E3g18HOdOQ16M3b/RD9vm5dsPgRnRBQtfNkdcRO4XkcMiku70vaEiUiciDdnPQzxNq5R6QTwROxNPxD4CvI4Cmn7hkv8HTI0nYotsB1FK9da89uz2zHNw1nsEVs2I08Nc7mIxMCOeiP3R5X5cF9pC5rzsVbepQDIf7Q09sdvWIi03HATeGF2w8CPRBQvPdfGYB3DeIHV2D/CEMSYGPJH9WillUTwR+wswHefNunqpvTg79bw3nojpBiZKBdq8FcDVQGBnkAwZem4KmLxdZO/kJPBBIB5PxPa40L7nQrH9cq7q6xreBHwLmNCX55c3ndwzc90vC2FaWTOwELg3lwX9IjIBSBpjpme/3g7caow5kD3JdZExZoqLeZVSvVBf1/A24D6gkC689IUBvg/cE0/EGm2HUUrlWzIBfBu43HaS3lpaP3lje3vRVXls8lfAJ+KJ2ME8tmmdFjIXqK9rKAc+C/wLUNqb507euXjxqENb57oSzDsPA/dEFyzMuVK/SCFz0hgzuNPPTxhjdHqZUj5SX9dQCfwr8GmgwnIcG1YD8+OJ2DLbQZRSbkoW4ywj+HdgcA8P9o2N68csOnZkwK15aCoNfKYQppFdjBYyXaiva4jhHLT0JkByec6slfdvLO5ozWf17KUVwPzogoWp3j5RCxmlgqu+rmEMsAB4HxC1HMcLa4EF8UQsL9OJlVJBkRwKfA64GyixHKZHBw9UrdmaHj2zH008C3weeDieiGXyFMt3tJDpQX1dw+XAp4D30s0dmuLWs0duXPM/wyR4647WAN+ILlj4SF8b0KllSvmDiNwPzAMOd/r/OBR4BGfK7C7gdmPMy866qq9ruBTnRe89QJFHkb20HqeA+Z3tIEopm5LjgH/GWSsyyHKYLrW1RU4tWzS5CqS37yufB74C/DSeiLW5EM1XtJDJUX1dwwjgn4CPAi/bTWLC7pVLx+1bN8fzYH3TgjNX8r7ogoX93nf9IoXM14Fjxph7ReQeYKgx5l/7249SqnsicgtwBvh5p/+P/wUc7/T/cYgx5jNdtVFf1zAW5wX+/cAYD2K77SmcNX+PxxMxfcFTSmUlq4APAJ8AxlsOc1GLn4htz2QiuV4IXgp8B2esa3cxlq9oIdNL9XUNFThTMO4Grjj//RtW/3xNadu5/twC9MIe4AfAT6ILFh7JR4Mi8jBwKzAcOIQzReV/cQqlS7J9vsMYoyeMK+WBfN0hra9rKALeCHwEeA05TrH1ieM4u7P9KJ6IbbYdRinlZ8ki4O04F29eiY/uSK9dPW7JqZMVt3TzkHPAQ8B98URso0exfEULmX6or2u4EnhntL35tlmrHpgm/pxzuR/4M05x8cfogoWBPfRIKdUzN9as1dc1TMS5gPMGYAb+LGqagd/jFDB/CsOUCqVUviWrgb8D3gncguXlAnv3DF7xzPYRsy/49hmcI0MexRnrujoeIxS0kMmT9i9+airOi/w84BXYWzTbgbNw/084hcvLDrFUShUutzffqK9rGIlzdtTrce7U2NoFqAN4GngS57yq5fFErMlSFqVUwUmOAt6Gc5dmDlDtdYLm5ujBFUsnjQR244x1vwX+Ek/E3DhjJpC0kHFB+xc/NQDnMKZrca5ezgCmAcUudHcU2JD9WAnURRcsfNlCXqVUOHi5+UZ2+tksnIs3V+IcuHkFUJaP9i9wFNiBs0HJk8CieCJ2yoV+lFLqIpJTcO7SzAFmAxNxZxpaE7AFSAGpJU9OXnLLKy8viMMr3aCFjEfav/ipEpxiZgYwFmfDgKEX+VwJnMW5dXjh50acE6gbsh87ogsWHvD0N6KU8jXbm29ki5sYTlEzDWfDgOrsxxCgChgAlONMBzuHM8ad/zgHnCA7xgHbgR3xREwv0CilfCRZjLMbZAyYnP18CS+OcVWdfl3MS8e58+/tjgI7gWc6fd4P8/TNeY60kFFKqQKhm28opZQKEy1klFJKKaWUUoETtMMblVJKKaWUUkoLGaWUUkoppVTwaCGjlFJKKaWUChwtZJRSSimllFKBo4WMUkoppZRSKnC0kFFKKaWUUkoFjhYySimllFJKqcDRQkYppZRSSikVOFrIKKWUUkoppQJHCxmllFJKKaVU4Ggho5RSSimllAocLWSUUkoppZRSgaOFjFJKKaWUUipwtJBRSimllFJKBY4WMkoppZRSSqnA0UJGKaWUUkopFThayCillFJKKaUCRwsZpZRSSimlVOBoIVOARGSXiAy3nUMpVbhE5Asi8mkR+Q8ReXX2e3NEZLOIrBeRchH5evbrr4vIR0TkH/rY1yIRmZn99Wfz+ftQSqmenB/v8tDOYBH5WKevR4vIo/1tN8yitgMUOhERQIwxGZfajxpj2t1oWymlemKM+XynL98NfMMY8zMAEfkwUG2Macljl58FvprH9pRSKm96eF82GPgY8D0AY8x+4O1eZStEekfGBSIyQUS2isj3gLXAe0VkhYisFZFfi8gAEblBRB7LPv7NItIkIiUiUiYiz2a//0ERWS0iG0TkNyJSkf3+AyJSKyL1wNdEZJiI/FVE1onIDwGx9XtXShUuEfk3EdkuIn8DpmS/94CIvF1EPgDcDnxeRB4Skd8BlcBKEXln5yuaIjJZRP6WHdvWisgkEblVRJKd+rpPRO66oP97gfLsHZ+HRORLIvKJTj//ioj8s+t/EEqpgtfFeNf57vBwEdmV/fVd2fd3vwf+mn2f90R2fNskIm/ONnsvMCk7hn09+34xnW2jTER+ln38OhGJd2r7MRH5s4g0iMh/efxH4Wt6R8Y9U4D3AZ8HHgNebYw5KyKfAebjXFGckX3sHCANXI/zd7Iy+/3HjDE/BhCRLwPvB76T/dll2TY7ROTbwDJjzH+IyBuAD7n+u1NKhYqIXAe8C2fciuJcpHn6/M+NMT8RkZuBpDHm0exzzhhjrsn++gudmnsIuNcY87iIlOFcVBvXUwZjzD0i8k+d2pyAM75+S0Qi2Xw39PO3qpQKuZ7Guy7MBq4yxhwXkSjwVmPM6exU/1T24s49wPQLxrDz7gYwxlwpIpfjFESXZX92TTZLC7BdRL5jjNmbh99q4Gkh457dxpiUiMwDpgLLnVlmlAArjDHtIvKMiFyB88JbC9wCFAFLs21MzxYwg4EBwF86tf9rY0xH9te3AG8DMMb8QUROuPx7U0qFzxzgcWPMOYDsi3KviUgVMMYY8ziAMaY5+/1et2WM2SUix0RkBjACWGeMOdaXXEop1Ulfxrs6Y8zx7K8F+KqI3AJkgDE4Y1R3biZ7sdoYs01EduNctAZ4whhzKptlCzAe0EIGLWTcdDb7WXD+cd9xkccsBV4PtAF/Ax7AKWTOLyh7AHiLMWZDdorFrRdp/zyTj9BKKdWNfIwzXVUs7bx0unNZju39BLgLGAnc3/dYSin1Ehcb7zqPUxeOUZ3fl70bqAauM8a0Zaeg9TSmdXc1p/M6ww70/fsLdI2M+1LATSIyGUBEKjrdKlwCfBLnDs0RYBhwObA5+/Mq4ICIFOP8p+jKkvM/F5HXA0Py/rtQSoXdEuCt4uxGVgW8sS+NGGNOA8+LyFsARKQ0u/5vNzA1+/Ug4FVdNNGWHRPPexx4Hc7U3L9c/ClKKdUrXY13u4Drsr/ubpH+IOBwtoiJ49xBAWjEeW/XVZ/n38tdBlwCbO/z7yAktJBxWbZAuQt4WEQ24hQ2l2d/vBLnVuOS7NcbgY3GmPNXAf49+5g6YFs33XwRuEVE1gKvAfbk8/eglFLGmLXAI8B64De8OAW2L94L/HN2THwKGJmd7/0rnHHwIWBdF8/9EbBRRB7K5moF6oFfdZpuq5RSfdbNePcN4KMi8hTQ3TEXDwEzRWQNTnGyLdvuMZylBmkR+foFz/keUCQim7J935XnHR8Lkrz4nlkppZQKluwi/7XAO4wxDbbzKKWU8o7ekVFKKRVIIjIVeAZnIawWMUopFTJ6R0YppZRSSikVOHpHRimllFJKKRU4WsgopZRSSimlAkcLGaWUUkoppVTgaCGjlFJKKaWUChwtZJRSSimllFKBo4WMUkoppZRSKnC0kFFKKaWUUkoFjhYySimllFJKqcDRQkYppZRSSikVOFrIKKWUUkoppQJHCxmllFJKKaVU4Ggho5RSSimllAocLWSUUkoppZRSgaOFjFJKKaWUUipwtJBRSimllFJKBY4WMkoppZRSSqnA0UJGKaWUUkopFThayCillFJKKaUCRwsZpZRSSimlVOBoIaOUUkoppZQKHC1klFJKKaWUUoGjhYxSSimllFIqcLSQUUoppZRSSgWOFjJKKaWUUkqpwNFCRimllFJKKRU4WsgopZRSSimlAkcLGaWUUkoppVTgaCGjlFJKKaWUChwtZJRSSimllFKBo4WMUkoppZRSKnC0kFFKKaWUUkoFjhYySilVgERkiois7/RxWkQ+aTuXUkoplS9ijLGdQQG16ZQAg4ABQBNwdv70Wc12UymlCoGIFAH7gBuNMbttZqlNp0qACqAMiAJngdPzp8/qsJlLKaXyL1kJDAQMzlh3FuZl7GYqLFrIeCJZWpsePg24ArgcmAwMB4Z0+hjEy++QdQDneOEfPyeABmA7sC37ecf86bPOefCbUEoFlIi8BlhgjLnJ/d6SY4DpwLTs5xgwDBgKDHn0uYENe86WTLvIE88Bp4FG4BSwlxfHuW3AtvnTZ51yP79SSvUkKcA4nPd15z9ivPh+bhBOARO9yJObefF93UlgF/DcumNlG+oPDNgPbAX2zp8+S9+g50ALGVckpwCvBmYC1wFXfG/r0DPNHZHBLnRmgOeBDcASYDGwdv70We0u9KWUCiARuR9Ya4y5L78tJ0cDtwHX4xQu04Bux7nf76la13C6dEYfOzyIM9Y9CTwBrJs/fZZe3VRKuSw5Epib/bgB56J0ZT57WHaoYtmqIxU3Z788CTwFLM1+rJ4/fVZrPvsrFFrI5EUyAtwEvCn7cdmFj3h898ANzzWWXO1RoEacF/k/An+aP33W8x71q5TyGREpAfYD04wxh/rXWlJwipZ52Y9rAOlNC3X7BqzadKLshv7leMFxYBHOePfX+dNnPZOndpVSoZYsBm4BXg+8FufusqsefW7gpj1nS67s4sfNwCrgD8Cv50+f9ZzbeYKiIAsZESnDuTtRinNb71FjzIL89pKsAF6HU7i8AWeqWJeePlq2ZPHBAbfkN0POngJ+Cjwyf/qss5YyKKUsEJE3A3cbY17TtxaSUZy7Lm/Ofh7ZnzxLD1YsX320wq0pbuuAXwAPz58+a59LfSilClZyBvA+4A56eF+Xb9/fOvRYU0dkWI4PXwP8CvjV/OmzrK57tK1QCxkBKo0xZ0SkGFgGfMIYk+p/68kxwMeBD+HMhczJgXPRpQ8/O3hO//vvlzPAI8BP5k+flYc/C6WU34nIL4G/GGN+1rtnJofijHMfw5kLnherj5QvXXqo0u2xMAP8GfgJ8HudaquU6lqyGngPcCfg1cyZlzCGU9/cPHxQH5++DPgO8JswbppSkIVMZyJSgfOX/FFjzMq+t5ScCfwf4B1AcW+f3dIh6e9uHeb6rcle2AL8APhxvnZHE5FxwM9xrthmgB8ZY76Vj7aVUr2XHf/2ApcaY3JcKJ+cBnwC54W9PN+ZNh0vXVy3v2puvtvtxn7gG8AP5k+f1eRhv0opX0teDnwOuJ0+vK/Lp9YO2XLf1mFT+9nMHuC7OO/rTuQhViAUbCGT3W70aZwdwr5rjPlM71tJRnCmU8wHbu7hwd0yhjPf3DysEqRX88k9sA/4MvDT+dNntfWnIREZBYwyxqwVkSqcP/+3GGO25CGnUspVydtwLta82s1edpwqWZzcO9DLQua8QzgFzfd1iq1SYZacCvw7TgHji/MUjzUXLX/wmSH5mnJ7Frgf+Mr86bP6uS7S/wq2kDlPRAYDjwMfN8akc39m8hbgPqCrhVe99rMdg/eeaI3mbYpGnj0LfBH4f/naBUhEfgvcZ4ypy0d7Sik3JG8AFtLPizW52n2mePFvdg2yUcicdwSoBe6bP33WGYs5lFKeSk4HPg+8nV5uUuK2HadKFiX3Drw1z82ewbl4841Cvnjji0rUTcaYkzi72rwut2ckR0HyIZxtjPNWxACMqWzfn8/28uxS4EFgU2069db+NiYiE4AZQD+m8yml3JMcmx3rUnhUxACURozt151q4D+BHbXp1O35alREdonIJhFZLyJr8tWuUqq/koMh+QNgI87yAF8VMQAHm6JuTG0bAHwBeKY2nfpwbTpV5EIf1tl+QXGFiFRn78QgIuU4UyW2df+sZDEkP41z+Nrfu5HrksrWvKxFcdlU4LHadOrx2nRqRF8aEJEBwG+ATxpjTuc1nVKqn5JRSH4K59C1v8fjF/XiiPHLi+ko4JHadOoPtenUhDy1GTfGXGOMmZmn9pRS/ZK8HWes+zA+LGDOO9gUdeOcwfNG4qyJXl+bThXc2FSQhQzOC1S9iGwEVgN1xphk1w9PvgrnkLWvA1VuhRpR3l7iVtsueAuwpTad6lVRl90l7jfAQ8aYx1xJppTqo+SNwFqc6QYDbCQojpiLnXRt023A5tp06l9q0ym/ZVNK9UlyAiT/gLNTa7+2jPfC0eboGA+6mQ6sqE2nvlKbTgXp/Wi3Cn6NTPeSpTgv6P/kRW/tGZ799pbhl3rRV579L/CRnhaNZbe9fhA4boz5pCfJlFI5Ss4HvoZztpY159pl/Q+2DbvGZoZubADumD991tbePlFEngNOAAb4oTHmR/kOp5TKRfLjwL1Ahe0kuTCG49/cPHyox92mgbvmT5/1tMf95l2h3pHJQTIGrMCjIgagSBhfJCYI08sudP7uTE/zyW8C3gu8MjtPfL2I3OZ+PKVU15KDIPkYzoJ+63ccooKfrwReDazq49qZm4wx1+KcBH63iNg6AFmpkEoOzo513yYgRQxAa0ZsrJ+eDqRq06n/a6HvvArpHZnk24AHcHEaWVd++eygrfvPFV/hdb959A3gnjAeuqRU8CSvBX6Ns5mHLwTozvS3gH/py7b0IvIF4Iwx5ht5T6WUuojkNcBjwETbSXrraHPR8p/nb+vlvvg18L6+7mwmIruARqADaPd6jWDI7sgkBZJfAh7FQhEDMK6y7biNfvPo08Afa9OpIbaDKKW6k/ww8BQ+KmIAIpL/QzZd8gmgvjadGt3TA0WkMnt2FiJSCbwGZ+qGUsp1yXcBywlgEQNwtLmoX2f45cE7cNbO9Oe1wtpGJyEqZJKVwG9xTnG1tnPF2Mq2dlt959FrgKdq06lADhpKFbZkESR/irNLTantNBeSAE35wJkuu7Y2nbq+h8eNAJaJyAZgFfAHY8yfXU+nVOglvwQ8TLDGlZc42FTsh+m2VwKra9MpVw9EdkNICpnkAOBPwBttJxle1m7lTpALLseZX3mD7SBKqfOSUeAXwD/aTtKNStsBemkE8GRtOvWqrh5gjHnWGHN19mOaMeYrHuZTKoSSAslv41ycDrRDTVG/zHAZijPj5u29fJ4B/ioiT4vIh1zI1a0QFDLJKuAvwBzbSQDKi8w42xnyqAZn6oUualXKumQJzlznvB3y6AYRokViWmzn6KUBwB/ycViwUqq/khHgJ8DHbSfJhyPNRV5svZyrYuCXtenUe3rxHKsbnRR4IZMciFPEvMJ2kvMiQnVFNHPEdo48qgCStenUjbaDKBVeyVKcha5vsZ0kFyUR06dFpZaVAr+qTafeYTuIUuGVjAIP4e+7zjkzhiOtmchA2zkuUAQ8WJtOfSCXBxtj9mc/HwYeBzydqVPAhUxyEPBXYLbtJBcaU9G213aGPKsC/lSbTl1tO4hS4ZMsB34PvMF2klyVFpkm2xn6KAo8XJtOvct2EKXCJ1mCs1lTwfz/a8nIAdsZuhABflSbTnV7RIkfNjop0EImORioA3x5l2BcZVuj7QwuGALU1aZTQd5aWqmASZYDfwAStpP0RkkkE9RCBpyrlT+vTadeaTuIUiFzP/Bm2yHy6XRr5LTtDN0Q4Nu16dR7u3mM9Y1OCrCQSRbjXJ3saZcZa0ZXtBXZzuCSauBvtenUJNtBlAqJnwJx2yF6q6wokAcDd1YM/EYv3CjlleQXgHfbTpFvR1uift/JVoCf1qZTr73YD/2w0UkBFjJ8E7jZdojuDC7JDLWdwUWjgb/WplODbQdRqrAl/wW4w3aKvigrMq22M+TBYJwNAKptB1GqsCXfAyywncINB89FfbdF/kUUA7+uTaeutB3kYgqskEneBdxtO0VPiiNmIpiM7RwuuhRn6oW183qUKmzJ1wL32k7RV2VFGdsHwOXLROC3telUme0gShWm5BycO88F6VBTNCgXtquA39emUzW2g1yogAqZ5HXA922nyIUI5cNKO3bbzuGyNwKfsR1CqcKTnIRzAFxgx+/SIuP36RS9MRt4wHYIpQpPchLOLlh+ODDSFUdbon7aerkn43F2bvTVa4+vwvRdshpn69HAXBUbW9l2yHYGD3y5Np261XYIpQpHcgDwW5zNNQKrrMh02M6QZ++sTac+bDuEUoXjhcN9h9lO4paM4VBbRgbYztFLc4HP2g7RWQEUMski4BHgEttJemNcZVvQF7vmogjnYKVRtoMoVSAeBKbZDtFfZUUZYzuDCxbWplOTbYdQqkB8Do/PI/FaS4cctJ2hjxbUplOzbIc4rwAKGf4vAdy1Z0R5e7ntDB4ZATzit1uRSgVP8i7gbbZT5ENZUSHWMVTirA0s1F0plfJI8gbg32yncNvpNl9vvdydKPCL2nTKFwd5BvzNZXISAf3HPqA4M9J2Bg/NAT5iO4RSwZUcCdTaTpEvJYVZyICzXub/2g6hVHAlK4D/wXmzXNCONEeDvOnTROB7tkNA4AsZvkuA1sV0FoFLisWctZ3DQ1/x424XSgXE9wj4upjOSiMm6K893fl8bTp1ne0QSgXUN4DLbIfwQkC2Xu7Ou2vTqdfZDhHgF5PkO4CLHtATBCLIyIq2XbZzeGgw8HXbIZQKmvq6hrcsX3Lp2HPnip+3nSVfSopMIU+/KgZ+rNvPK9VbyVcAH7WdwisHm6KFsJHBt2rTKau7ygW0kElWAf9tO0V/jatsO247g8f+oTadmmM7hFJBUV/XUA78d2tL8fUrl08cum3ziMWZDIHfujgqpth2BpfNAN5rO4RSwZEU4Fu2U3jFGMzxluhY2zny4DLg/9gMENBChi/hnCAfaGMr2wp2ong3vlebThX83Fel8uQenL37Aak4sH/w3KX1sWePH6tIW03VT9FIwRcy4Gw/H8ipz0pZcCcw03YIrxg40G6kUDZ9+lxtOmXtPXkAC5nk1cA/2U6RD8NKO3yx44PHpgP/bDuEUn5XX9cwDJh/4fczmchlG9aOnfr0qkuWtLVFTlmI1m9RKdwD7joZh+UrlUoFQ7Ic+LLtFF5q7pBCOktwABaXDgSwkOGLOOeTBF5ZkQnU2Td5dE9tOlVhO4RSPvcpnBeIi5DI6VPltyxbNLl57+4hKzxNlQcRMWG5U3FPbTpVbTuEUj73cSBIJ9z326nWokbbGfLsjtp06gobHQeskEleCbzJdop8EWHogGhHUA9E6o9qQrSgT6neqq9rGEpOd55lxDM7amYvX3LpmiBtBhARwnIhYyCwwHYIpfwrORBnCm2oHGmOFtrSAsHS1vMBK2T4N5w/rIIxtrJtn+0Mlnxa548r1aVPAVW5Pri1pXjmyuUTh27dPDIQmwEIoSlkAN6vW88r1aX3U0Bby+fqYFO0UNbHdHZHbTo1wetOA1PI1Nc1TFyz8pKRZ8+U7LKdJZ/GVbYV2u3FXI0E/sF2CKX8Jns35uO9f6ZUHNw/aO7S+thzAdgMIEyFTBnwMdshlPKfZAS423YKGw4VxtbLF4oC/+p1p4EpZIB/ajxdPnfVigmXrFg2MXXieMVm24HyYVRFexh27+nKJ/WsBaVe5kP04m7MhTKZSCy7GcBSv24GIEK0SEyz7Rwe+pjegVbqZd4ATLIdwmvGkDneUlQIWy9fzPtq06mRXnYYiEKmvq6hEuf2IyCR5qaSWeufHjdtaf3kDQf2DVxtDIGdaziopGO47QwWXQFYPxVWKZ/5x/43IZHTp8rnLFs0ucWvmwGURsxZ29jQg14AACAASURBVBk8VA3cbjuEUj4Tyh1MM7C/w0ip7RwuKSMvr2G56/Y8DxHZBF0XCcaYq/Ke6OLuBAZd+M329qKrt20ZxfZtI3aOn3D8wPiJx26IRIK1rWdUmCiYdoOE9WyVDwB/sh1ChZtfxrr6uoY5QCx/LUrNMztqavbsGrpmxsw9Iyoq28blr+3+KSkyTec6bKfw1EeBn9sOocLNL2MdJKcCr/amL39pbpdDQKHekQHnPftXveqspzsy84A3An/Ofrw7+/FH4FF3o73Eh7r7oclEJu16dvjNi5+47PjWzSMX+3U6xcWIUFJd1rHLdg6LbqtNp/o8jUapPPHLWOfKlazW1ujMlU9NHL417Z/NAEqLMk22M3hsVm065dXFP6W64pexLrTrxk62FhX63ejLatOp2V511m0hY4zZbYzZDdxkjPlXY8ym7Mc9wGu9CFhf1zAeuDq3R8vIg/sHzV22aLKsf3rs4uam6AFXw+XJ2Mq2w7YzWFRGAW2prYLJJ2PdAOAd7vUg5QcPvLAZwCb3+slNacS02M5ggU4vU1b5YazLLvJ/uzd9+U8Bbr18MXd61VGua2QqReTm81+IyCuASncivcy83j9FBp44Xjl3xbJLh69aMX756dOlDfmPlT/jKtvabGew7J22AyiVZXOsu92LvrKbAUy3vRlAWVEoC5m32A6gVJbNsW42MMKjvnznYFM0DLs2vtOrDU5yLWTeD3xXRHaJyHPA9/BuMU8fCpnzpPjsmbKbnl45IbZ8yaVrjhwesD5/sfKnpry9EPcT743X1qZTg22HUAq7Y91bPeoHEOm0GcBT3vX7orJoxhdT3Dw2rTadmmw7hFLYHetCXdAfaoqGYZOnwXh0hy+nBebGmKeBq0VkICDGGE+u4mV3K4vno63WluKZ6Q1jKCrq2HLp5KOnxow7eYMIRflou78qo5kxtjNYVoIzsD1gOYcKOYtjXQl5Gut6x95mAGVFJoyFDDhj3Tdsh1DhZmusywptIWMMHScKd+vlC70W+K3bneR0R0ZERojIT4FHjDGnRGSqiLzf5Wzg7GiR1y3qOjqKpjZsHzF78ROXPf/MjuolHR1ifcFpRBhTGskEZoMCl7i4NkCp3Fgc627Cu2kdL2NjM4CyIhOuPcte5OGdN6Uuzt5Yl5wOhPauZAaezyBhOT/wNV50kuvUsgeAvwCjs1/vAD7pRqAL9GNaWfeMkfF7dw+9ZcmTsXPpjaMWtbYWHXOrr1yMqmjfY7N/H7i5Np0KxLlGqqA9gJ2xzqNFtt3ptBnAUfc3AygrymTc7sOnZtWmU6FdH6B84wHsjHVv9qAP32pqjxyxncFDk2rTKdcPPM31jeNwY8yvgAyAMaYdcPVqWn1dgwC3udmHQ4YdOTTw1uWLJ5WvXT1uybmzxVYKinGVbSds9OsjA4GptkOo0PN8rMvyQSHjyGQisQ3rxk5fs9LdzQBKi4y41bbPRYCbe3yUUu6yNdbN8aAP3zrZGin0rZcv5PpdmVwLmbMiMozsIUoiMgtweyrUDF68UuABqTh1suKWlU9NHJNaPnHFyRPlW7zrG8ZUtoX1Rb0zz/YdV6oLno919XUNNeS8xbxXRBpPl89Ztmhy655d7mwGUBoJww6kXbredgAVejbe1wHM9KAP3zrcFLqzzxNud5Drn+h84HfAJBFZDlTj/pqGV7jcfhekqOlcyex1ay6huLh9/eQph9tHjmp0/T/e0NKOQW73EQCzgR/bDqFCzcZYdx3g0wsZUr2zoaZ67+6ha2bM3FNTUdl2Sb5aLikyYZ5KGuo3c8oXLIx1yUnAMHf78LeDTVFrayEtcX2sy/WFZDMwF6e4+DAwDdjmVqisy1xuv0dtbdFrtqZHz1z8RKxh17NDl2cyuHbeS2nEjHer7QDROzLKNhtj3ZUut99v2c0Aqrc4mwHkZRwsiRhf7BppyXW16ZRPi1cVEjbGutDfiTzUFK22ncFj49w+XiPXQmaFMabdGLPZGJM2xrQBK9wMhg8KmfMymUjsuZ3VNy1+4rKj27eMWNzeHmnMdx8iDBpU3LEv3+0GzJTadGqI7RAq1GyMdVe53H6eSPkhZzOA3ceOVmzsb2vFEROWnXsuZjAh3rlJ+UK/xzoRmSIi6zt9nBaR7jYMCHUhYwxtJ1tDs/VyZ66+xnU7tUxERgJjgHIRmcGL0x8GAm6fTOqbQuZFMmr/vsGj9u8bdGro8LOLLr/i0BWlZe15231mTGXbvlMni8J8pozgTLP5m+0gKlwsj3W+vyPTWSYTmbxx3VhTNbB56dXXPn9VcXGmT9Nio2JK8p0tYGYCDbZDqHDJ51hnjNkOXJNttwjYBzzezVNCXchkDM8bZKLtHBZcDSxxq/Ge1si8FrgLGAvUdvr+aeCzLmWivq6hFPDxVCsZdPzogFufWlrZOqCqZenl0w6Orqpq6fcWc5dUtjVtOVmWj4BB5uO/d1XAbI11xcDlbrXvnhc2AzgyKXbkqUsmnOj1msYiLWSm2w6gQsmtse5VwE5jzO5uHjOtH+0H3rmOyFEgjIWMvTsyxpgHgQdF5O+MMb9xM8gFJpP7tDeLpORMY9mcNanxprSsfdWUyw+VDas+2+e/sJEV7WGeanFeGG+7KsssjnUxIMBv6F/YDODpGTP3VPdmM4CIEParNmG++64scXGsexfwcNc/Tg4Ahuaxv8A50VJ0znYGS1y9WJdrsbBcRH4qIn8C8OAEWB9OK+uOSEtz8Q0b14+9akn95E37nh+UMoZeH/Y2sLhDD0nTQkbZ5fVYVxBvZltbo9f1djMALWS8PF5AqZfJ21gnIiXAm4Bfd/Ow0M+2ONwcDesGHyPdbDzXQuZneHsCbMAKmRd1tBdduWPryFmLn4jt3tkwfGlHhzTn+twiYXxETKub+QJACxllk9djXQHtYNO7zQAEwrYN6YW0kFE25XOsez2w1hhzqJvHhP61/eC56ADbGSxx9SJ9roWM1yfAxlxs2xPGRCbu2TVszpInY41bNo1a3NYWOdnTc0SIjihr3+VBPD8L/WCnrPJ6rCugQsaR3QzgyjUrxy/tYdzTQkYpe/I51t1Bt9PKAJffzAbBoaZoje0MllTVplPlbjWeayHj9QmwBTSPUqoPHRw4d9miycXr1oxb0nSu+PnuHj2usu2IV8l8SgsZZZPXY13BFTIOkcbTZXOWLZrctmfXkKcu/giKomJyvmNdgIbUplNhn16n7MnLWCciFTintz/Ww0PD+iYeAGNoOdUWCfPFC9cK2VwLmQtPgP058HG3QuHbU677QypPnqi4JbV84siVT0146tTJsu0Xe9TYyrZ2r5P5zODadCrAi59VwHk91g13sW0fkOqdDTWvWLZ40tNnz5a8bDejkog5YyOVj4T+KrWyJi9jnTHmnDFmmDGmpyJoWB8yFowOw/MgAdjEyjWujXU9bb8MgDFmrYjMBabgFBnbs4cnuaWA/7Ileu5s6SvWrh5PcUn72sumHDY1IxuvO//T4WXtYZ9uAc4uTmFfK6QssDDWFXgh42hrjV636qkJzSNGnl58+bSDr4hEKAYoLco0neso4OG+Z65Nt1CqOxbGuiIX2/a9s+2Ro0C/j+kIsCq3Gu7pQMy3dfGjy0QEY0xPtxL7KhSvbG2t0Ws3bxrN1s2Z7RMnHT069pITN1ZEjU6tAt2GWnnK4liX08WkwiBlhw4OmnvkcNXO6VfvPzts+NmrSotCPbUMQvX3r/zA4lhXgDNtcneipUjHOksNv7Gbnxl6nhPZV6EoZM7LZCJTdjbUTHn2mernR489ubP67MkT7R3hXQibiUior9woK2yNdaGbSprJRCZtXDfGVFW1LK0qPUhLU1Op7Uy2GNGxTnnO1lgXascaS1pL24v22M5hi3GWYrmipwMx3+daz90LVSFznjEydt/eIWPfuuYPq8paz1xhO49FwqyE7QwqRCyOdaErZBwijY1lc4YfGbovseHR49GO1ittJ7JEmK1jnfKOxbEu1HdkWnaOGDS1uTjnA4MLkGsXbXIqGERkmIh8W0TWisjTIvKt7G4XVnMVqmNDJ4T9FqSb290q1SULY11ICxlHc9nAMStuuOuK44PHLTa4eMnOv0L996/ssTDWhbqQ6eiIhPbOc5Zr669yLRh+CRwB/g54e/bXj7gVipAXModqLi+I0777QRf6K1u8Huv0jaxEopunvmHu9tgrnzZwzHYcj+lYp2zxeqwLtUyHVNjOYJlrr3W5FgxDjTFfMsY8l/34MjDYrVCEvHI/O2D4JIN0d0JuIWuNLlgY9i1ZlT1ej3VayGQdqb5s5urr3t3aFi3dYDuLh8JWuCn/8Hqsc/M8Lt/LGAntuucs197X5VrI1IvIu0Qkkv24HfiDW6GA7k6DDoVz5YOfsZ3BkrAfCKrs8nqs0zeynbSUVo1KXX/n9KNDJyw22RPHC1gHcMJ2CBVaXo91B1xs2/+Me9sPB8Q+txrOtZD5MPALnNvgrTi3JOeLSKOInHYh1/MutBkoR4ZPCuN8cdBCRtnl9Vi314U2g00iRVsvf93cbZcl1pvCHg9ORBcsLPRiTfmX12NdaAsZY+gACXMhkwEOutV4ToWMMabKGBMxxkSzH5Hs96qMMQNdyBX6F/fD1ZddajuDJYX8xkX5nIWxLvQXbbpydPika1fNfK9pjZats53FJTrWKWssjHWhLWTa2opCPa0OOBxPxFzbxCnnA2pE5CpgQufnuHhwUuhf3FvKBo7OSOS5iMlMtJ3FY4dtB1DhpmOdf7SWVNasvP7O4Zfv+Nvi4cd23iyFdTp4WNdBKp/weKwLbyHTWnQGGGo7h0WuTSuDHAsZEbkfuArYzIvzlt08OGm3S+0GypkB1XsHNh4KWyHTYDuACi8LY13o7z73SCSybUpi7tDjsfVTt/1lpGBG2o6UJztsB1DhZWGsO5TtJ3S70ra1FZ21ncGy/W42nusdmVn/v717j5OjqvM+/vnNdJIJ5E4SCAETCJWEi8g1KJdAKaWLjstlEddHEBRXRdfLrq6i+2irK4qL47OPIK6uCrhGFuSiOLouAxsIhCRAboQQwoRbAHMjCbkz17N/VGUdYybTmemq09X9fb9e/eqe6e46305mztSv6tQ5zrlj0gyyh6czbKtirR83dfCIbTV30G657wBS07Lu69YTj08fnGGbubRpzOQTFpxy2asnLb3j8cEdO0/xnacMnvIdQGpaxn1dYxc0vwzU3KKQ7e31u3xn8CzVkQelVsbzzCyzH/gwCl4jxQuD8mLDQVOm18DMPXvSH3fxKeu+zqEj8yXrGHzA2AWnXHbyunHTHnT5n7p6he8AUtMy7esSizJuryK0txVqfb2oJWluvNQzMrcQ/9CvBdqI13lxzrnjU0sWn5WpliEE/dI5qGFUV92gFYXujqN9Z8lIBxpaJn756OsWA8eluP3qYmbPBOHZG8ZOeeLYFf851nCH+o7UTzpoIz756OsWAhekuP2K1N5eSG1V+5x4LM2Nl1rI/BS4DFhGdmcIngLOyaitirV1xIR1Y15bXSuFzDOFYlOt/8KLXz76ukVJm7IfNo9+w/HzT71884lL73i0oX37DN959tOWQrFJEz2ITz76uoUZtVNR2tvqa21kTU+vE/+MpabUQma1c+6eNIPsxVzg4xm3WXHWjZ82Ysxrq33HyMoC3wGk5vno61I9WlXNOgc1jH7slEtnHPXsnAcPWffU6QaDfGcq0SO+A0jN89HXPZ5xexWhvb3kCYKr0ZIwClIdBlzqv+7TZvYL4DfEpyCBVKfpA7iXGp3hoqdNoycd7aDNYIjvLBl4wHcAqXk++rrH0QX/A7JqysyzN4ydsvy4p5pH1jl3mO88JXjQdwCpeR76usYN0PwScHh6bVSejo56853Bo9QP1JVaJAwl/kF/O/Du5NaYViiAMApepUar95666wtDOwsNtTKWerbvAFLzfPR1bdTokIty2jJy4rELTr1i+OtDhs/3naUEKmTEt8z7usSjGbRRUTo76mr5lEzqhUxJ/7jOuQ+mHaQXvwfyNva57DaPOnzr+Fer/hr4ZzVmXHzz2Ne1AG/x1HbV6CwMGfnYye9/85HPz51z6Jplp1XomewdqHAVzzz3dX/lqW0vOjvra/VsuwP+O+1GSjojY2aHmdndZrbezNaZ2Z1mlsXp+//MoI2Kt3b89LG+M2RAZ2PEO4993a8yaKNmPHfEGTOfOO7857qtrhIXV57b26QmZna4mc02sxVmttzMPp18f4yZtZhZa3I/OtvIUm089nW/y6CNitLVZUN9Z/DksTAKXkm7kVKHlt0E3AMcCkwkHlN5U1qhengU2JRBOxVty8gJ0x1s8Z0jZc2+A4jgqa8Lo2AxUIk73bm1dcSEo+efevnonQ0jK+3C+l/v47lO4LPOuaOBNwOfSNb6uBq43zkXAPcnX4sMhKf9usaXgCfSb6dydHfbAb4zeHJ3Fo2UWsiMc87d5JzrTG43A+NSzAVAGAXdxBf91zarq28bMmyl7xgp2kI8jFDENy99XWJfO7jSD12FISMWnvS+01+aeMJDLp4G1DfHPv6fnXNrnHOLksfbiBfNnAicT7zuB8l9za3FIWXns6/LZAe3Ujhnw31n8KSiCplXzexSM6tPbpcCG9MM1oN2cIGNY47Y5TtDin5dKDa19f0ykdT57Os0vCwlL0x681lL3njh6m6re95zlHmFYlNJQy3MbDJwIvG09Ac759ZAXOwA49MKKDXDZ193Z0btVIpaLGRWhFGQyQH4UguZDwGXAGuBNcDFQFYXiv2e+HR7TVs3bloephTtr9t8BxBJ+Ozr5pDdjkTN2T784KnzZnxw/I4Dxsz1GOPWUl5kZsOId/Y+45zbmm4kqVEe+7rGZUA1jzL5X11dtgusEicdSVtmZ91KLWT+CbjcOTfOOTee+Bfgq6ml6iGMgnVAmms45MKOYWOnOGyt7xwp2EQ8i4lIJfDZ13UB/55FW7Wqu37QgYtOuOSMFw8/5WEHOzNuvgO4va8Xmdkg4iJmVo81PdaZ2YTk+QnA+tRSSq3w1tclfpxhW950dNTX6oGIzA5Ql1rIHO+c27z7C+fcJuJT3ln5boZtVaydQ0c96ztDCm7pbQYfEQ9893XfJ76OQlK0+vBTzlx8/MVruqx+VYbN3lEoNu2zADEzA34CrHDO9fy7dw9wefL4cnQ9lQyc777uJ0A1D5kHoKO9frvvDB48EkZBZhM6lFrI1PWc7tHMxlDiGjTlEEbBAmBeVu1Vqg1jj/Idody6get9hxDpwXdftwpNcJKJHcPGTpk/44MTtx049qGMmiylrzsDuAx4q5ktSW7vBK4FIjNrBaLka5GB8NrXQeNmYFZ27fnR3l6f9ZnfSnBjlo2V+kPbBDxiZncQHy28BLgmtVR79/+o8QXj1o+beuTkl1JfJDVLvykUm3xffCvSUyX0dTcA78i4zZrUXV8YuuRNF5912CuL505+ccGbDIal1NTCQrGpz4NxzrmHAevl6beVN5LUuErp6z6ccZuZam8vVMJsiVlaC/wyywZLOiPjnPsZ8Uqs64ANwEXOuazHct8FvJBxmxWlrWH4hAqYdaec/sV3AJGeKqSv+x3wXMZt1rSXJ554xqI3vWdDV10hrQuQv5/SdkX6pTL6usalwMPZtpmt9vZCu+8MGbshjIJMP3OpQ8twzj3lnLvBOXe9c+6pNEPtTXIhbM0PQ9o+bNxLvjOUydJCsekB3yFE9lQBfV038L2s2611Ow886Ih5M66YtHXY+Dll3vTLwC/KvE2RAfPd1yWquq9rb6vv8p0hQzuAH2TdaMmFTIX4MbDNdwif1o+bOth3hjL5iu8AIhXsX4HVvkPUGldXaFh6/EUzn518+jwH5Zpt6OtaJ0ukV3cAS3yHSEt7e6Hbd4YM/SCMgk1ZN5qrQiaMgq3EM13UrA0HTZnu4ovk82xuodh0j+8QIpUqjII2oOg7R636w6HHv2XhCe/d3FU3aMUAN7UKuKkcmUSqU6MD/sF3irR0tNf3ds1btdlI9tdYATkrZBLfAF71HcKXzkENo7rqBj3tO8cAXe07gEgO/Ax40neIWrXrgNGT5s24YsprIyY8OIDNfLVQbKr5BZ1F9q3xPqp0tsaOjvp63xky8rUwCl7z0XDuCpkwCjYCn/Odw6etIyZs8J1hAJoLxaaqvrhPpBySa2W+6DtHLXN19YOXHXf+2a1HzlzgYH//SC8Dbk0jl0gV+jz5H23yZzo76zKc0tqblXi4Nma33BUyAGEU3AI84DuHL+vGTxvuO0M/tQNf8B1CJC/CKGgGBnJGQMpg7SHHnPb4Se/b3lk/aHmJb3HAVYViU9XtmImko3Ep8HPfKcqtq7OuwXeGDHw+jAJvZ55zWcgkPka8Y1xzNo2edLSDPF48+q1CscnXzCgieXUV+fx9ryqvN4w8bP6pV0zdPOqwB11cqOzLjwrFprmZBBOpHl8CtvgOUU5d3VVfyDwQRoHXa55zW8iEUbCSGl3duLu+MLSj0DDQi1Czthz4pu8QInkTRsEKdOF/RXB19YOePKbx7GeOCh930NvsPGvRdYAi/dD4CvBp3ynKyXVbWovsVoKdwEd9h8htIZP4JvCM7xA+bB59uJeLqvqpG7iyUGyqyTNoImXwHWCB7xASWz9+2qmPnfT+to76IU/s5enPFIpNeeqfRSpI4y3Ar32nKBfnyOulAKX4bBgF3vfBc13IJFOUXuU7hw/rxk8f5zvDfvheodiknTCRfkoWBL4CeN1zFEm0NQyfMH/G5cduHD3pgR5DzW4vFJtu8xpMJP8+AuR5UiMAnMNB1RYyvwmj4F99h4CcFzIAYRT8N/FCmTVly4gJ010+xpIuQcMsRAYsjIKn0UKylcXq6p86+rxznp567qJuq1tMvAMmIgPSuJ4KGLI0UJ2dddvAcr+fvRfrgCt9h9itWv6BPwk87jtEpqyuvm3IsEpfT2YbcMneVrU2s5+a2Xoze7LH98aYWYuZtSb3ozNNK1L5vgNoMdkK8+rYo46f+5aPXFUoNuXh4JJIDjTeDdzsO8VAdHTUb/WdISVXhlFQMWfMqqKQCaPgdeBCYL3vLFnaOOaISp7JyAGXF4pNrb08fzPwF3t872rgfudcANyPzuSI/IkwChxwKfHkGVI5PhtGgYbPipTXx4GFvkP0V0d7/Q7fGVLQFEbBb32H6ClXhYyZvWBmy8xsiZn9yRmYMApeBt4DdPhJl71146dN9J1hH75VKDbd3duTzrk5/PmsP+cDtySPbwEuSCmbSG6FUbCN+Hdls+8sAsDPwyi43ncIkerTuIt4P2Ct7yT90d5e2OU7Q5ndRbxwaUXJVSGTCJ1zJzjnTvmzJ6JgDlUwrrJUOw4cO8VhlfgLfhvw5X6872Dn3BqA5H58WVOJVIkwCp4F3gt0+c5S41qAD/kOIVK9Gl8mPnCTu6Kgvb2+miZnmQ9cGkZBxS3ym8dCZp/CKLgJ+JrvHFnZecDoZ31n2EML8AGtaC2SrjAKWoDP+M5Rwx4HLgqjoGZGAYj40fgo8H+Il3LIjfa2grfV7svsOeAvwyioyGIyb4WMA+41s4Vm1uvsMGEUfBX4aWapPNpw0JS+VpjO0mPARQNYL2admU0ASO5r6ponkf0VRsENwBd956hBrcA7wyjY7juISG1o/BXxxE650d5eqIYz5puA8yrp4v495a2QOcM5dxJwHvAJM5u5j9d+FLgzm1j+rB83dYrvDImVwDsLxaaB/GG/B7g8eXw5VbQolkhawii4Fvi/vnPUkDXA2yv5D7tIdWq8kXgCgEo6gNur9rZ63xEGagvwrkpY9HJfclXIOOf+kNyvB+4GZvT22jAKOoFLgBuzSedHW8PwCd1W97znGE8A5xSKTa+W+gYzuxWYB0wzs5fN7ErgWiAys1YgSr4WkT6EUXANUPSdowasBt4aRsELvoOI1KbGHxCvYVLxw8w6OurNd4YB2AycG0bBfN9B+pKbQsbMDjSz4bsfA28HntzXe8Io6A6j4BNU+dHKbcPGv+Sx+XnERcx+TTrgnHufc26Cc26Qc+4w59xPnHMbnXNvc84Fyf2es5qJSC/CKPg68HXfOarYcuD0ZGFSEfGm8SbgMqCir0Hp7KjP6ymZ9cQHbP5sfcZKXAMwN4UMcDDwsJktBR4Ffuuc+30pb0yOVn6ICv+h76/144LBnpq+Fzi3UGzSNLAiFSCMgiLwt1RpX+fRI8BZYRS84juIiAA0/oJ45saKnWyjs7PO177ZQDxLfMBmSS/P30yFrQGYm0LGOfecc+5Nye1Y59w1+/P+ZDaz84Gd6ST059WDpkx32Z9m/Tnw7kKxqer+PUXyLIyC7xNfR/ia7yxVopl4iIUO2IhUlMa7gHOBdb6T7E1XV90Q3xn200LgjGR6/72qxDUAc1PIlEMYBb8DQqDkaznyoHNQw6iuukFZDXfoAD5dKDZdNoDZyUQkRWEU3Ae8mXh2LekfB3wHuLBSpx0VkcY5wMnE65xUlO5uO9B3hv3wQ+Iipj9Fodc1AGuqkAEIo+BR4HRgse8s5bRl5IQspipeC7ytUGz6XgZticgAhFGwEjiN+FS/7J9NxOsm/EMycYyIVKzGV4CzgR/5TtJTTgqZHcQLXX4sjII232H6o+YKGYAwClqJZzwrUsHjK/fH+nHTRqbcxMPAyYVi00MptyMiZZIMh3oH8YQn2iEvzXzgxDAKmn0HEZFSNbZD40eBDwOVskM+wneAPqwAZoRRMGuA2/G6BmBNFjIQT8+czPJzKtDbRU25sXHMpKMdvJ7CpncBfwecXSg2/SGF7YtIisIo6EomPDkdqOj1ADzrJh5KNjOMgtW+w4hIfzT+BDiJeEZVb7q7aQc7wGeGPvwMODWMgqfKsC2vawCac7lYVyhVs1taBwFfAv4RGOQ5Tr+d9ujNiwd3vn5iGTf5EPChQrFpVRm3KSIDYGY/ujxIXAAACvdJREFUBRqB9c6545LvjQFuAyYDLwCXOOf+7OL02S2tQ4mnaP47IK9Tg6ZhEXBVMvRYRHKvuQ64CvgWMDzr1tva6jc8MueocVm3W4KVwCfCKOjXkONkDcBzgLHEkywUgV8BtwNvIF5r6z1ZLp+hQqaH2S2tJxBPLfcmz1H6ZWrr/Q8evKH17DJs6jXgK8ANhWKTfkBEKoiZzQS2Az/rUcj8M7DJOXetmV0NjHbOfaG3bcxuaZ0B/AvwliwyV7AtwJeBG8Mo6PIdRkTKrfkw4PvAX2bZ6vZtg59/bP4RR2TZZh92AdcA14VRUFUTNamQ2UNyduazyW2s5zj7ZeSWV5Yfv/w3xw5gE+3Ev/DfKBSbtBilSIUys8lAc49CZiVwjnNuTTJG+QHn3LS+tjO7pfVi4iOWR6UYt1LdCvx9GAX7tZiviORR818B3wamZNHa5k0HLF+y8PCB7I+V02+BT4ZR8LzvIGlQIdOL2S2tBwIfBT4HTPAcpzSuu+vMeT/abrC/F/474mEpXyoUm6ryB12kmuylkHnNOTeqx/ObnXMlra6cHLz5GPFZ2FwdvOkHRzye+xt7W7VaRKpZ8yDgSuKzsIem2dK6NcMXPvXkoSen2UYJZgPX9HcYWV6okOnD7JbWIcCHgC8AkzzH6dOpC2ctaGjbdlqJL+8A/gNoKhSblqYYS0TKqJyFzG6zW1pHAJ8EPk7Kf+Q96AbuIP6j/oTvMCLiU3MD8X7d50lpv+6lF0fPW/XMeF9Dd5uJ+7qKW1snDSpkSjS7pbUAvB/4ItDnkA1fjnx+7oMT1yzr6zqZ14gXP7q+UGx6JYNYIlJG5RpatjfJGZqLgU8RL6qZZzuBXwLfDqNghe8wIlJJmgcB7wP+BjiznFt+9pmxc1a/eNDMcm6zD13AncA3wyioqQPTKmT20+yW1jrgAuBS4DygwW+iP3XgjlefO2npHUfu5alu4EFgFnBbodi0PdtkIlIueylkrgM29rjYf4xz7vMDbSeZFOCTwIVAHhZ32+0h4Bbg9jAKtvkOIyKVrnkq8VmaD1CGywlWPHnIg2vXjCzH5Et9WQncBPx7GAU1uUSGCpkBSIZiXAC8F3gbMMRvotiZj/xwreEOSb5cTFy8/IfOvojkn4/pL5Npm98BXAS8Gxi173d40Uo8VPaWMAqe9R1GRPKouZ74IPUHgLez/9ccA7B00cQHNm0cdk4Zg/W0mri/v03X+qmQKZtkcoBzgXcR/xIc5inKhjc+ec+to7b+YTlwb6HY9IKnHCJShZKhZ28lPohzJnAMfhZXfhW4H2gB7guj4EUPGUSkajXXAzOAiLioOQ0olPLOxxe84aFtW4eeVaYgm4A5xKNqHgSWhFGgnfeECpmUzG5pnQIcu8dtOuUdiraJuDJfRjyU4qEwCp4u4/ZFRPYpOTM9g/h6mjcDpwLjy9xMG7AcWJrcHgIW64+5iGSneQRwNnAif9yvC4DBe75y/twj5u3aObg/F/vvAFYRDxl7mLhwWaa+rncqZDI0u6W1HjiS+If/GGAi8S/AkOS+5+Pd9zuJi5XVwEs9Hq8Oo2BHxh9BRKRPyRnqScDk5H4ScDhwAH/s33bfBgHbiA/M7L5tBjYCzwPPAC+GUdCd6YcQEelTc4G4mDkGOIJ4yO+4BXMnd+zcOSQAhgFDidfp29njtiu5X09cuKwCVoVRsCbzj5BzKmRERERERCR3fIxrFhERERERGRAVMiIiIiIikjsqZEREREREJHdUyIiIiIiISO6okBERERERkdxRISMiIiIiIrmjQkZERERERHJHhYyIiIiIiOSOChkREREREckdFTIiIiIiIpI7KmRERERERCR3VMiIiIiIiEjuqJAREREREZHcUSEjIiIiIiK5o0JGRERERERyR4WMiIiIiIjkjgoZERERERHJHRUyIiIiIiKSOypkREREREQkd1TIVCEze8HMxvrOISLVy8y+amafM7Ovm9m5yffOMrPlZrbEzIaa2XXJ19eZ2cfM7AP9bOsBMzslefylcn4OEZG+7O7vyrCdUWb28R5fH2pmdwx0u7Ws4DtAtTMzA8w5153S9gvOuc40ti0i0hfn3Fd6fPl+4DvOuZsAzOyjwDjnXFsZm/wS8M0ybk9EpGz62C8bBXwcuBHAOfcH4OKsslUjnZFJgZlNNrMVZnYjsAi4zMzmmdkiM/ulmQ0zsxlmdlfy+vPNbJeZDTazBjN7Lvn+35jZY2a21MzuNLMDku/fbGbfNbPZwLfN7CAzu9fMFpvZDwHz9dlFpHqZ2T+a2Uozuw+YlnzvZjO72Mw+DFwCfMXMZpnZPcCBwAIze2/PI5pmdpSZ3Zf0bYvMbIqZnWNmzT3ausHMrtij/WuBockZn1lm9k9m9ukez19jZp9K/R9CRKpeL/1dz7PDY83sheTxFcn+3W+Ae5P9vPuT/m2ZmZ2fbPZaYErSh12X7C8+mWyjwcxuSl6/2MzCHtu+y8x+b2atZvbPGf9TVDSdkUnPNOCDwFeAu4BznXM7zOwLwN8TH1E8MXntWcCTwKnE/ycLku/f5Zz7NwAz+wZwJXB98tzUZJtdZvY94GHn3NfN7F3AR1L/dCJSU8zsZOCvifutAvFBmoW7n3fO/djMzgSanXN3JO/Z7pw7IXn81R6bmwVc65y728waiA+qHd5XBufc1Wb2tz22OZm4f/3/ZlaX5JsxwI8qIjWur/6uF28BjnfObTKzAnChc25rMtR/fnJw52rguD36sN0+AeCce6OZTScuiKYmz52QZGkDVprZ9c65l8rwUXNPhUx6XnTOzTezRuAYYG48yozBwDznXKeZrTKzo4n/8H4XmAnUAw8l2zguKWBGAcOA/+qx/V8657qSxzOBiwCcc781s80pfzYRqT1nAXc753YCJH+U95uZDQcmOufuBnDOvZ58f7+35Zx7wcw2mtmJwMHAYufcxv7kEhHpoT/9XYtzblPy2IBvmtlMoBuYSNxH7cuZJAernXNPm9mLxAetAe53zm1JsjwFTAJUyKBCJk07knsj/uF+315e8xBwHtAB3AfcTFzI7L6g7GbgAufc0mSIxTl72f5urhyhRUT2oRz9TG8VSyd/Oty5ocTt/Ri4AjgE+Gn/Y4mI/Im99Xc9+6k9+6ie+2XvB8YBJzvnOpIhaH31afs6mtPzOsMutP/+v3SNTPrmA2eY2VEAZnZAj1OFc4DPEJ+h2QAcBEwHlifPDwfWmNkg4l+K3szZ/byZnQeMLvunEJFaNwe40OLZyIYD7+7PRpxzW4GXzewCADMbklz/9yJwTPL1SOBtvWyiI+kTd7sb+Aviobn/tfe3iIjsl976uxeAk5PH+7pIfySwPiliQuIzKADbiPftemtz977cVOANwMp+f4IaoUImZUmBcgVwq5k9QVzYTE+eXkB8qnFO8vUTwBPOud1HAb6cvKYFeHofzXwNmGlmi4C3A6vL+RlERJxzi4DbgCXAnfxxCGx/XAZ8KukTHwEOScZ7307cD84CFvfy3h8BT5jZrCRXOzAbuL3HcFsRkX7bR3/3HeAqM3sE2NcyF7OAU8zsceLi5OlkuxuJLzV40syu2+M9NwL1ZrYsafuKMs/4WJXsj/vMIiIi+ZJc5L8IeI9zrtV3HhERyY7OyIiISC6Z2THAKuILYVXEiIjUGJ2RERERERGR3NEZGRERERERyR0VMiIiIiIikjsqZEREREREJHdUyIiIiIiISO6okBERERERkdxRISMiIiIiIrnzP7Z/DUk4MCb2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x720 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap = plt.get_cmap(\"Set3\")\n",
    "colors = cmap(range(10))\n",
    "\n",
    "## Plot the number of events that occurred.\n",
    "display(pd.DataFrame(transcript_df.event.value_counts()).T)\n",
    "ax = transcript_df.event.value_counts().plot.pie(colors=colors)\n",
    "ax.set_ylabel('')\n",
    "plt.show()\n",
    "\n",
    "## Count offers received, viewed, and completed\n",
    "offer_event = load_dataframe(portfolio_data_path).set_index('id')\n",
    "offer_event = offer_event.assign(\n",
    "    received=pd.DataFrame(\n",
    "        transcript_df.query('event == \"offer received\"')\n",
    "        .offer_id.value_counts()))\n",
    "offer_event = offer_event.assign(\n",
    "    viewed=pd.DataFrame(\n",
    "        transcript_df.query('event == \"offer viewed\"')\n",
    "        .offer_id.value_counts()))\n",
    "offer_event = offer_event.assign(\n",
    "    completed=pd.DataFrame(\n",
    "        transcript_df.query('event == \"offer completed\"')\n",
    "        .offer_id.value_counts()))\n",
    "display(offer_event)\n",
    "\n",
    "# Plot\n",
    "fig, axs = plt.subplots(figsize=(16,4), nrows=1, ncols=3)\n",
    "offer_event.received.plot.pie(ax=axs[0], labels=None, colors=colors)\n",
    "offer_event.viewed.plot.pie(ax=axs[1], labels=None, colors=colors)\n",
    "offer_event.completed.plot.pie(ax=axs[2], labels=None, colors=colors)\n",
    "axs[0].set_xlabel('offers')\n",
    "axs[1].set_xlabel('offers')\n",
    "axs[2].set_xlabel('offers')\n",
    "plt.show()\n",
    "\n",
    "## Group events by reward, difficulty, and duration\n",
    "fig, axs = plt.subplots(figsize=(16,10), nrows=3, ncols=3)\n",
    "\n",
    "offer_event = offer_event.query('offer_type != \"informational\"')\n",
    "event_by_reward = offer_event.groupby('reward').sum()\n",
    "event_by_reward.received.plot.pie(ax=axs[0][0], colors=colors)\n",
    "event_by_reward.viewed.plot.pie(ax=axs[1][0], colors=colors)\n",
    "event_by_reward.completed.plot.pie(ax=axs[2][0], colors=colors)\n",
    "axs[0][0].set_xlabel('reward')\n",
    "axs[1][0].set_xlabel('reward')\n",
    "axs[2][0].set_xlabel('reward')\n",
    "\n",
    "event_by_difficulty = offer_event.groupby('difficulty').sum()\n",
    "event_by_difficulty.received.plot.pie(ax=axs[0][1], colors=colors)\n",
    "event_by_difficulty.viewed.plot.pie(ax=axs[1][1], colors=colors)\n",
    "event_by_difficulty.completed.plot.pie(ax=axs[2][1], colors=colors)\n",
    "axs[0][1].set_xlabel('difficulty')\n",
    "axs[1][1].set_xlabel('difficulty')\n",
    "axs[2][1].set_xlabel('difficulty')\n",
    "\n",
    "event_by_duration = offer_event.groupby('duration').sum()\n",
    "event_by_duration.received.plot.pie(ax=axs[0][2], colors=colors)\n",
    "event_by_duration.viewed.plot.pie(ax=axs[1][2], colors=colors)\n",
    "event_by_duration.completed.plot.pie(ax=axs[2][2], colors=colors)\n",
    "axs[0][2].set_xlabel('duration')\n",
    "axs[1][2].set_xlabel('duration')\n",
    "axs[2][2].set_xlabel('duration')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is no anomaly detected in the data related to events.  \n",
    "Besides that, we note a correlation between views and channels. Not surprisingly, the more channels used to deliver the offer, the better. Additionally, using social media seems to be the most effective channel.  \n",
    "Furthermore, there is some correlation between offer completion and features reward, difficulty, and duration. However, it seems more related to the number of offers received."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore Transaction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<center><style  type=\"text/css\" >\n",
       "</style><table id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Total</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >amount</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >138953.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >12.78</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >30.25</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >0.05</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >2.78</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >8.89</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >18.07</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_0352db34_4b86_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >1062.28</td>\n",
       "            </tr>\n",
       "    </tbody></table> <style  type=\"text/css\" >\n",
       "</style><table id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Count by person</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >amount</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >17000.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >8.17</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >5.12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >0.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >4.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >7.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >11.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03530852_4b86_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_03530852_4b86_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >36.00</td>\n",
       "            </tr>\n",
       "    </tbody></table> <style  type=\"text/css\" >\n",
       "</style><table id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Sum by person</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >amount</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >17000.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >104.44</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >125.92</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >0.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >21.82</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >69.41</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >148.78</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_03532fda_4b86_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >1608.69</td>\n",
       "            </tr>\n",
       "    </tbody></table></center>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "amount_desc = pd.DataFrame(transcript_df.amount.describe()).style \\\n",
    "    .set_caption('Total') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "\n",
    "transcript_by_person = transcript_df.groupby('person')\n",
    "amount_count_desc = pd.DataFrame(transcript_by_person.amount.count().describe()).style \\\n",
    "    .set_caption('Count by person') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "amount_count_sum = pd.DataFrame(transcript_by_person.amount.sum().describe()).style \\\n",
    "    .set_caption('Sum by person') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "\n",
    "display_html(\n",
    "    '<center>' \\\n",
    "    + amount_desc._repr_html_() \\\n",
    "    + ' ' \\\n",
    "    + amount_count_desc._repr_html_() \\\n",
    "    + ' ' \\\n",
    "    + amount_count_sum._repr_html_() \\\n",
    "    + '</center>',\n",
    "    raw=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These description tables show us some interesting points.  \n",
    "* There are customers who did not make one single purchase in the period\n",
    "* There are anomalous values in the amount feature"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### No purchase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Customers who did not make a transaction in this period: 422\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<center><style  type=\"text/css\" >\n",
       "</style><table id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Offers received</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >event</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >422.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >4.46</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >1.12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >1.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >4.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >5.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >5.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_0371a852_4b86_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >6.00</td>\n",
       "            </tr>\n",
       "    </tbody></table><img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASAAAAEgCAYAAAAUg66AAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAOu0lEQVR4nO3da2xU9brH8d/YHkQpHjG0EQI5AxXSC5ShDJQKQlFaMbsJclGCvgCU1BA1oCZsbxFJjHA0BuolmglKERJQMPKiGELKJZKK4kjBbTiAIG2ooh0E0hvYUv77hWECuy3ltvp0Hb6fZBJmzZr1/KvwzVqrQwk455wAwMAt1gsAcPMiQADMECAAZggQADMECIAZAgTADAECYIYAATBDgACYIUAAzBAgAGYIEAAzBAiAGQIEwAwBAmCGAAEwQ4AAmCFAAMwQIABmCBAAMwQIgBkCBMAMAQJghgABMEOAAJghQADMECAAZggQADMECIAZAgTADAECYIYAATBDgACYIUAAzCRaL+A/9e7dW8Fg0HoZwE2nsrJSJ06c6NSZXS5AwWBQ0WjUehnATSccDnf6TC7BAJghQADMECAAZjwP0OnTpzV9+nSlpaUpPT1du3bt8nokAJ/w/Cb0/PnzNWnSJG3YsEFNTU1qbGz0eiQAn/A0QLW1tfr6669VUlIiSerWrZu6devm5UgAPuLpJdgvv/yi5ORkzZkzR8OHD9fcuXPV0NDg5UgAPuJpgM6dO6c9e/Zo3rx5qqioUI8ePbR06dJW+0UiEYXDYYXDYcViMS+XhOsQCARuyAO4wNMA9evXT/369VNOTo4kafr06dqzZ0+r/YqKihSNRhWNRpWcnOzlknAdnHMdPv7nn6Ud7gNc4GmA7r77bvXv318HDx6UJG3dulUZGRlejgTgI55/F+y9997T448/rqamJg0cOFArV670eiQAn/A8QKFQiL/bBaBNfBIagBkCBMAMAQJghgABMEOAAJghQADMECAAZggQADMECIAZAgTADAECYIYAATBDgACYIUAAzBAgAGYIEAAzBAiAGQIEwAwBAmCGAAEwQ4AAmCFAAMwQIABmCBAAMwQIgBkCBMAMAQJghgABMEOAAJghQADMECAAZhK9HhAMBtWzZ08lJCQoMTFR0WjU65EAfMLzAEnS9u3b1bt3784YBcBHuAQDYMbzAAUCARUUFGjEiBGKRCJejwPgI55fgpWXl6tv376qqalRfn6+0tLSNG7cuEv2iUQi8TjFYjGvl4R2DF019LqP0TNdGrrqxes6xr9m/eu61wF/8DxAffv2lSSlpKRoypQp2r17d6sAFRUVqaioSJIUDoe9XhLaUfd/S1W59B+mawi+uMl0PjqXp5dgDQ0Nqquri/96y5YtGjJkiJcjAfiIp2dAf/zxh6ZMmSJJOnfunB577DFNmjTJy5EAfMTTAA0cOFD79u3zcgQAH+Pb8ADMECAAZggQADMECIAZAgTADAECYIYAATBDgACYIUAAzBAgAGYIEAAzBAiAGQIEwAwBAmCGAAEwQ4AAmCFAAMwQIABmCBAAMwQIgBkCBMAMAQJghgABMEOAAJghQADMECAAZggQADMECIAZAgTADAECYIYAATDTKQFqaWnR8OHDVVhY2BnjAPhEpwSouLhY6enpnTEKgI94HqDq6mpt2rRJc+fO9XoUAJ/xPEALFizQW2+9pVtu4XYTgEslennw0tJSpaSkaMSIEdqxY0e7+0UiEUUiEUlSLBbzcknoQPDFTabz//u2/zKdj84VcM45rw7+0ksvafXq1UpMTNTZs2dVW1urqVOnas2aNe2+JxwOKxqNerUkeCz44iZVLv2H9TJwDSz+7Hl6XbRkyRJVV1ersrJS69at0/3333/Z+AC4uXBjBoAZT+8BXSwvL095eXmdNQ6AD3AGBMAMAQJghgABMEOAAJghQADMECAAZggQADMECIAZAgTADAECYIYAATBDgACYIUAAzBAgAGYIEAAzBAiAGQIEwAwBAmCGAAEwQ4AAmCFAAMwQIABmCBAAMwQIgBkCBMAMAQJghgABMEOAAJghQADMECAAZjwN0NmzZzVq1CgNGzZMmZmZWrRokZfjAPhMopcHv/XWW7Vt2zYlJSWpublZY8eO1UMPPaTRo0d7ORaAT3h6BhQIBJSUlCRJam5uVnNzswKBgJcjAfiI5/eAWlpaFAqFlJKSovz8fOXk5Hg9EoBPeB6ghIQE7d27V9XV1dq9e7d++umnVvtEIhGFw2GFw2HFYjGvl4RrFAgEOnxU/W9hh/sAF3Tad8HuvPNO5eXlafPmza1eKyoqUjQaVTQaVXJycmctCVfJOXdDHsAFngYoFovp9OnTkqQzZ86orKxMaWlpXo4E4COefhfs+PHjmjVrllpaWnT+/Hk9+uijKiws9HIkAB/xNEBZWVmqqKjwcgQAH+OT0ADMECAAZggQADMECIAZAgTADAECYIYAATBDgACYIUAAzBAgAGYIEAAzBAiAGQIEwAwBAmCGAAEwQ4AAmCFAAMwQIABmCBAAMwQIgBkCBMAMAQJghgABMEOAAJghQADMECAAZggQADMECIAZAgTADAECYIYAATDjaYCOHTumCRMmKD09XZmZmSouLvZyHACfSfT04ImJeuedd5Sdna26ujqNGDFC+fn5ysjI8HIsDAQCgVbbnHMGK4GfeHoG1KdPH2VnZ0uSevbsqfT0dP36669ejoSBi+NTWlra5nagLZ6eAV2ssrJSFRUVysnJ6ayR6GQXznicc8QHV6RTbkLX19dr2rRpWr58ue64445Wr0ciEYXDYYXDYcVisc5YEm6wi8982noOtCXgPL5Qb25uVmFhoR588EE9//zzHe4fDocVjUa9XBJusAtnOxf/VmprG7o2iz97np4BOef05JNPKj09/YriA38LBALatGkTl1+4Yp4GqLy8XKtXr9a2bdsUCoUUCoX01VdfeTkSBi4+yyksLGxzO9AWT29Cjx07lt+ENwn+P+Na8EloAGYIEAAzBAiAGQIEwAwBAmCGAAEwQ4AAmCFAAMwQIABmCBAAMwQIgBkCBMAMAQJghgABMEOAAJghQADMECAAZggQADMECIAZAgTADAECYIYAATBDgACYIUAAzBAgAGYIEAAzBAiAGQIEwAwBAmCGAAEw43mAnnjiCaWkpGjIkCFejwLgM54HaPbs2dq8ebPXY2AsKSlJgUAg/khKSrJeEnzA8wCNGzdOd911l9djYCgpKUkNDQ0KBoM6fPiwgsGgGhoaiBA6lGi9APjfhfgcPXpUknT06FENGDBAlZWVtgtDl9clbkJHIhGFw2GFw2HFYjHr5eAalJWVXfY50JYuEaCioiJFo1FFo1ElJydbLwfXYOLEiZd9DrSlSwQI/tajRw9VVlZqwIABOnLkSPzyq0ePHtZLQxfneYBmzpyp3NxcHTx4UP369dPHH3/s9Uh0svr6+niE7rnnnnh86uvrrZeGLs7zm9Br1671egS6AGKDa8ElGAAzBAiAGQIEwAwBAmCGAAEwE3DOOetFXKx3794KBoPWy8A1isVifJjUpyorK3XixIlOndnlAgR/C4fDikaj1suAT3AJBsAMAQJghgDhhioqKrJeAnyEe0AAzHAGBMAMAfp/oLq6WpMnT9agQYOUmpqq+fPnq6mpKf76zJkzlZWVpWXLlunAgQMKhUIaPny4jhw5Yrjq1ubOnav9+/df93FKSkr0zDPP3IAVwWsEyOecc5o6daoefvhh/fzzzzp06JDq6+v1yiuvSJJ+//13ffPNN/rxxx/13HPPaePGjZo8ebIqKiqUmpp6RTNaWlrafe3cuXM35OuQpBUrVigjI+OGHQ9dHwHyuW3btql79+6aM2eOJCkhIUHLli3TJ598osbGRhUUFKimpkahUEiLFy/W8uXLtWLFCk2YMEGStGbNGo0aNUqhUEhPPfVUPDZJSUl67bXXlJOTo127dl0yMy8vTy+//LLGjx+v4uJixWIxTZs2TSNHjtTIkSNVXl4u6e8f0TFnzhwNHTpUWVlZ+uKLLyRJW7ZsUW5urrKzs/XII4/Ef5RHXl6eotGoPvzwQy1cuDA+r6SkRM8+++xl17ty5UoNHjxY48ePj8+HDzj4WnFxsVuwYEGr7aFQyO3bt88dPXrUZWZmxrcvWrTIvf3228455/bv3+8KCwtdU1OTc865efPmuVWrVjnnnJPkPvvsszZnjh8/3s2bNy/+fObMmW7nzp3OOeeqqqpcWlqac865hQsXuvnz58f3O3nypIvFYu6+++5z9fX1zjnnli5d6hYvXhw/7vfff+9qampcampq/H2TJk1yO3fubHe9v/32m+vfv7+rqalxf/31l7v33nvd008/fTX/GWGEfxXD55xzCgQCV7z9Ylu3btUPP/ygkSNHSpLOnDmjlJQUSX+fSU2bNq3d986YMSP+67Kyskvu3dTW1qqurk5lZWVat25dfHuvXr1UWlqq/fv3a8yYMZKkpqYm5ebmXnLs5ORkDRw4UN9++60GDRqkgwcPasyYMfrggw/aXO93332nvLy8+F8BmTFjhg4dOnTZrx1dAwHyuczMzPilzQW1tbU6duyYUlNTVVNT0+57nXOaNWuWlixZ0uq17t27KyEhod33Xvzzns+fP69du3bptttua3X8/4ygc075+fkd/qTMGTNm6PPPP1daWpqmTJmiQCDQ7no3btzYYWzRNXEPyOceeOABNTY26tNPP5X09w3jF154QbNnz9btt9/e4Xs3bNgQj9TJkydVVVV11WsoKCjQ+++/H3++d+/eNrefOnVKo0ePVnl5uQ4fPixJamxsbPNsZerUqdq4caPWrl0bP9tqb705OTnasWOH/vzzTzU3N2v9+vVX/TXABgHyuUAgoC+//FLr16/XoEGDNHjwYHXv3l1vvvlmh+/NyMjQG2+8oYKCAmVlZSk/P1/Hjx+/6jW8++67ikajysrKUkZGhj766CNJ0quvvqpTp05pyJAhGjZsmLZv367k5GSVlJTEPxowevRoHThwoNUxe/XqpYyMDFVVVWnUqFGXXW+fPn30+uuvKzc3VxMnTlR2dvZVfw2wwSehAZjhDAiAGQIEwAwBAmCGAAEwQ4AAmCFAAMwQIABmCBAAMwQIgBkCBMAMAQJghgABMEOAAJghQADMECAAZggQADMECIAZAgTADAECYIYAATDzbwjcFfPeMQQ5AAAAAElFTkSuQmCC\" style=\"display:inline;top:0%\"/><style  type=\"text/css\" >\n",
       "</style><table id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcc\" style=\"display:inline;vertical-align:top\"><caption>Offers viewed</caption><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >event</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row0\" class=\"row_heading level0 row0\" >count</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow0_col0\" class=\"data row0 col0\" >412.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row1\" class=\"row_heading level0 row1\" >mean</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow1_col0\" class=\"data row1 col0\" >3.62</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row2\" class=\"row_heading level0 row2\" >std</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow2_col0\" class=\"data row2 col0\" >1.42</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row3\" class=\"row_heading level0 row3\" >min</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow3_col0\" class=\"data row3 col0\" >1.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row4\" class=\"row_heading level0 row4\" >25%</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow4_col0\" class=\"data row4 col0\" >3.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row5\" class=\"row_heading level0 row5\" >50%</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow5_col0\" class=\"data row5 col0\" >4.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row6\" class=\"row_heading level0 row6\" >75%</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow6_col0\" class=\"data row6 col0\" >5.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bcclevel0_row7\" class=\"row_heading level0 row7\" >max</th>\n",
       "                        <td id=\"T_0374bb00_4b86_11ea_a036_2ba4ea381bccrow7_col0\" class=\"data row7 col0\" >6.00</td>\n",
       "            </tr>\n",
       "    </tbody></table><img src=\"data:image/png;base64,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\" style=\"display:inline;top:0%\"/></center>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "customers_no_transaction = transcript_by_person.count() \\\n",
    "    .query('amount == 0').index\n",
    "\n",
    "print('Customers who did not make a transaction in this period:',\n",
    "    customers_no_transaction.nunique())\n",
    "\n",
    "## Offers sent to them\n",
    "offer_received = transcript_df.query(\n",
    "    'person in @customers_no_transaction ' \\\n",
    "    'and event == \"offer received\"') \\\n",
    "    .groupby('person') \\\n",
    "    .count()\n",
    "\n",
    "boxplot_rec_fig = Figure(figsize=(4,4))\n",
    "ax_rec = boxplot_rec_fig.subplots()\n",
    "\n",
    "offer_received_desc = offer_received.event.describe()\n",
    "offer_received_desc = pd.DataFrame(offer_received_desc) \\\n",
    "    .style.set_caption('Offers received') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "offer_received.event.plot.box(ax=ax_rec)\n",
    "ax_rec.set_xticklabels(labels=['Offer received'])\n",
    "\n",
    "\n",
    "## Offers viewed by them\n",
    "offer_viewed = transcript_df.query(\n",
    "    'person in @customers_no_transaction ' \\\n",
    "    'and event == \"offer viewed\"') \\\n",
    "    .groupby('person') \\\n",
    "    .count()\n",
    "\n",
    "boxplot_view_fig = Figure(figsize=(4,4))\n",
    "ax_view = boxplot_view_fig.subplots()\n",
    "\n",
    "offer_viewed_desc = offer_viewed.event.describe()\n",
    "offer_viewed_desc = pd.DataFrame(offer_viewed_desc) \\\n",
    "    .style.set_caption('Offers viewed') \\\n",
    "    .set_table_attributes('style=\"display:inline;' \\\n",
    "                          'vertical-align:top\"')\n",
    "offer_viewed.event.plot.box(ax=ax_view)\n",
    "ax_view.set_xticklabels(labels=['Offer viewed'])\n",
    "\n",
    "display_html('<center>' \\\n",
    "              + offer_received_desc._repr_html_() \\\n",
    "              + convert_fig_to_html(boxplot_rec_fig) \\\n",
    "              + offer_viewed_desc._repr_html_() \\\n",
    "              + convert_fig_to_html(boxplot_view_fig) \\\n",
    "              + '</center>',\n",
    "             raw=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 422 customers who did not make transactions in this period, even though they received and viewed offers.  \n",
    "Admittedly, these customers may be analyzed in order to verify why they did not buy anything in the studied period. It is possible that they are opposed to marketing campaigns.  \n",
    "Perhaps, they should be filtered out of the dataset. Anyways, this is a point to be aware and analyze while training and evaluating the networks."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Anomalous values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>amount</th>\n",
       "      <td>138953.0</td>\n",
       "      <td>12.78</td>\n",
       "      <td>30.25</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2.78</td>\n",
       "      <td>8.89</td>\n",
       "      <td>18.07</td>\n",
       "      <td>1062.28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           count   mean    std   min   25%   50%    75%      max\n",
       "amount  138953.0  12.78  30.25  0.05  2.78  8.89  18.07  1062.28"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(pd.DataFrame(transcript_df.amount.describe()).T)\n",
    "\n",
    "fig, axs = plt.subplots(figsize=(16,6), nrows=1, ncols=2)\n",
    "\n",
    "transcript_df.amount.plot.box(ax=axs[0], vert=False)\n",
    "axs[0].set_yticklabels('')\n",
    "transcript_df.amount.plot.density(ax=axs[1])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Anomalous values in transactions are so high that they deform completely the plots above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of customers with more than 1 transaction with a value >= $50,00: 19\n",
      "Number of customers with transactions with a value >= $50,00: 687\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(figsize=(16,4), nrows=1, ncols=3)\n",
    "\n",
    "n_users = []\n",
    "values = range(40,1100)\n",
    "for v in values:\n",
    "    n_users.append(transcript_df[transcript_df.amount > v] \\\n",
    "                   .person.duplicated().sum())\n",
    "axs[0].plot(values, n_users)\n",
    "axs[0].set_title('range: \\$40 - \\$1100')\n",
    "axs[0].set_xlabel('amount ($)')\n",
    "axs[0].set_ylabel('customers')\n",
    "\n",
    "n_users = []\n",
    "values = range(45,100)\n",
    "for v in values:\n",
    "    n_users.append(transcript_df[transcript_df.amount > v] \\\n",
    "                   .person.duplicated().sum())\n",
    "axs[1].plot(values, n_users)\n",
    "axs[1].set_title('range: \\$45 - \\$100')\n",
    "axs[1].set_xlabel('amount ($)')\n",
    "axs[1].set_ylabel('customers')\n",
    "\n",
    "n_users = []\n",
    "values = range(45,55)\n",
    "for v in values:\n",
    "    n_users.append(transcript_df[transcript_df.amount > v] \\\n",
    "                   .person.duplicated().sum())\n",
    "axs[2].plot(values, n_users)\n",
    "axs[2].set_title('range: \\$45 - \\$55')\n",
    "axs[2].set_xlabel('amount ($)')\n",
    "axs[2].set_ylabel('customers')\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\n",
    "print('Number of customers with more than 1 transaction with a value >= $50,00:',\n",
    "       transcript_df[transcript_df.amount >= 50].person.duplicated().sum())\n",
    "print('Number of customers with transactions with a value >= $50,00:',\n",
    "       transcript_df[transcript_df.amount >= 50].person.nunique())\n",
    "\n",
    "\n",
    "fig, axs = plt.subplots(figsize=(16,4), nrows=1, ncols=3)\n",
    "\n",
    "transcript_df.amount.clip(lower=0.05, upper=50).plot.box(ax=axs[0], vert=False)\n",
    "axs[0].set_yticklabels('')\n",
    "transcript_df.amount.clip(lower=0.05, upper=50).plot.density(ax=axs[1])\n",
    "\n",
    "bins = 100\n",
    "logbins = np.logspace(np.log10(transcript_df.amount.min().min()),\n",
    "                      np.log10(transcript_df.amount.max().max()),\n",
    "                      num=bins)\n",
    "transcript_df.amount.clip(0.05, 50).hist(bins=logbins, ax=axs[2])\n",
    "axs[2].set_ylabel('transactions')\n",
    "axs[2].set_xscale('log')\n",
    "axs[2].set_xlabel('log scale')\n",
    "axs[2].grid(False)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is quite clear that one purchase with a value of \\$1,062.28 in this dataset is an anomaly. However, it is especially tricky finding the value that correctly classifies outliers.  \n",
    "I tried to define this value by finding the number of times one customer repeats transactions with a similar amount.   \n",
    "\n",
    "The three graphs on the top show the number of customers who repeat a transaction with a value higher than a certain amount. Around the value 50, that number tends to stabilize.  \n",
    "By setting the threshold to $50, there are 668 customers with transactions higher than this amount, and only 14 of them repeat a similar transaction.  \n",
    "\n",
    "The three graphs on the bottom present transactions with value clipped to \\$50.  "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
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}