microwave_data_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Microwave Reviews Analysis\n",
    "\n",
    "### Analyze the three product data sets provided to identify, describe, and support with mathematical evidence, meaningful quantitative and/or qualitative patterns, relationships, measures, and parameters within and between star ratings, reviews, and helpfulness ratings that will help Sunshine Company succeed in their three new online marketplace product offerings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Import Libraries\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from textblob import TextBlob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Load Data\n",
    "data = pd.read_csv('microwave.tsv', delimiter='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>marketplace</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>review_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>product_parent</th>\n",
       "      <th>product_title</th>\n",
       "      <th>product_category</th>\n",
       "      <th>star_rating</th>\n",
       "      <th>helpful_votes</th>\n",
       "      <th>total_votes</th>\n",
       "      <th>vine</th>\n",
       "      <th>verified_purchase</th>\n",
       "      <th>review_headline</th>\n",
       "      <th>review_body</th>\n",
       "      <th>review_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>US</td>\n",
       "      <td>21879631</td>\n",
       "      <td>RY52KZABZK8QF</td>\n",
       "      <td>B0052G14E8</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Do not recommend it. go use your money for som...</td>\n",
       "      <td>3 of the buttons stopped working after a month...</td>\n",
       "      <td>8/31/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>US</td>\n",
       "      <td>14964566</td>\n",
       "      <td>R3GCOEV4HYZG2I</td>\n",
       "      <td>B0055UBB4O</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Looks as good as the picture</td>\n",
       "      <td>Didn't use it long so I can't attest to that b...</td>\n",
       "      <td>8/31/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US</td>\n",
       "      <td>13230389</td>\n",
       "      <td>R1V2OPPNL0QGCE</td>\n",
       "      <td>B0052G14E8</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Four Stars</td>\n",
       "      <td>Very nice microwave, great price</td>\n",
       "      <td>8/31/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>US</td>\n",
       "      <td>43655888</td>\n",
       "      <td>R9Q0QDTLKV567</td>\n",
       "      <td>B004ZU09QQ</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>quiet</td>\n",
       "      <td>Quiet, but does not seem like 1000 watt power.</td>\n",
       "      <td>8/31/2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>US</td>\n",
       "      <td>117794</td>\n",
       "      <td>R3DL7HYC3QTWNI</td>\n",
       "      <td>B005GSZB7I</td>\n",
       "      <td>827502283</td>\n",
       "      <td>whirlpool stainless look countertop microwave,...</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Four Stars</td>\n",
       "      <td>It's bigger than I thought.</td>\n",
       "      <td>8/31/2015</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  marketplace  customer_id       review_id  product_id  product_parent  \\\n",
       "0          US     21879631   RY52KZABZK8QF  B0052G14E8       423421857   \n",
       "1          US     14964566  R3GCOEV4HYZG2I  B0055UBB4O       423421857   \n",
       "2          US     13230389  R1V2OPPNL0QGCE  B0052G14E8       423421857   \n",
       "3          US     43655888   R9Q0QDTLKV567  B004ZU09QQ       423421857   \n",
       "4          US       117794  R3DL7HYC3QTWNI  B005GSZB7I       827502283   \n",
       "\n",
       "                                       product_title  product_category  \\\n",
       "0              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "1              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "2              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "3              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "4  whirlpool stainless look countertop microwave,...  Major Appliances   \n",
       "\n",
       "   star_rating  helpful_votes  total_votes vine verified_purchase  \\\n",
       "0            1              0            0    N                 Y   \n",
       "1            5              0            0    N                 Y   \n",
       "2            4              0            0    N                 Y   \n",
       "3            3              0            1    N                 Y   \n",
       "4            4              0            0    N                 Y   \n",
       "\n",
       "                                     review_headline  \\\n",
       "0  Do not recommend it. go use your money for som...   \n",
       "1                       Looks as good as the picture   \n",
       "2                                         Four Stars   \n",
       "3                                              quiet   \n",
       "4                                         Four Stars   \n",
       "\n",
       "                                         review_body review_date  \n",
       "0  3 of the buttons stopped working after a month...   8/31/2015  \n",
       "1  Didn't use it long so I can't attest to that b...   8/31/2015  \n",
       "2                   Very nice microwave, great price   8/31/2015  \n",
       "3     Quiet, but does not seem like 1000 watt power.   8/31/2015  \n",
       "4                        It's bigger than I thought.   8/31/2015  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Initial Data Exploration\n",
    "# Display the first few rows of the dataframe\n",
    "data.head()"
   ]
  },
  {
   "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>customer_id</th>\n",
       "      <th>product_parent</th>\n",
       "      <th>star_rating</th>\n",
       "      <th>helpful_votes</th>\n",
       "      <th>total_votes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.615000e+03</td>\n",
       "      <td>1.615000e+03</td>\n",
       "      <td>1615.000000</td>\n",
       "      <td>1615.000000</td>\n",
       "      <td>1615.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.956669e+07</td>\n",
       "      <td>5.327655e+08</td>\n",
       "      <td>3.444582</td>\n",
       "      <td>5.621672</td>\n",
       "      <td>6.669350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.551920e+07</td>\n",
       "      <td>2.312119e+08</td>\n",
       "      <td>1.645238</td>\n",
       "      <td>27.771593</td>\n",
       "      <td>29.262638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.838300e+04</td>\n",
       "      <td>1.092264e+08</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.544962e+07</td>\n",
       "      <td>4.234219e+08</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.987940e+07</td>\n",
       "      <td>4.863812e+08</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.408202e+07</td>\n",
       "      <td>7.310253e+08</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.309410e+07</td>\n",
       "      <td>9.943392e+08</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>814.000000</td>\n",
       "      <td>848.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        customer_id  product_parent  star_rating  helpful_votes  total_votes\n",
       "count  1.615000e+03    1.615000e+03  1615.000000    1615.000000  1615.000000\n",
       "mean   2.956669e+07    5.327655e+08     3.444582       5.621672     6.669350\n",
       "std    1.551920e+07    2.312119e+08     1.645238      27.771593    29.262638\n",
       "min    2.838300e+04    1.092264e+08     1.000000       0.000000     0.000000\n",
       "25%    1.544962e+07    4.234219e+08     2.000000       0.000000     0.000000\n",
       "50%    2.987940e+07    4.863812e+08     4.000000       1.000000     2.000000\n",
       "75%    4.408202e+07    7.310253e+08     5.000000       3.000000     5.000000\n",
       "max    5.309410e+07    9.943392e+08     5.000000     814.000000   848.000000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Basic statistics of numerical fields\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "marketplace          0\n",
       "customer_id          0\n",
       "review_id            0\n",
       "product_id           0\n",
       "product_parent       0\n",
       "product_title        0\n",
       "product_category     0\n",
       "star_rating          0\n",
       "helpful_votes        0\n",
       "total_votes          0\n",
       "vine                 0\n",
       "verified_purchase    0\n",
       "review_headline      0\n",
       "review_body          0\n",
       "review_date          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check for missing values\n",
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Data Cleaning\n",
    "# Calculate helpfulness ratio and handle division by zero\n",
    "data['helpfulness_ratio'] = data['helpful_votes'] / data['total_votes']\n",
    "data['helpfulness_ratio'] = data['helpfulness_ratio'].fillna(-0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Data Analysis\n",
    "# Distribution of Star Ratings\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.countplot(x='star_rating', data=data, palette='viridis')\n",
    "plt.title('Distribution of Star Ratings')\n",
    "plt.xlabel('Star Rating')\n",
    "plt.ylabel('Count')\n",
    "plt.grid(True, linestyle='--', alpha=0.6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of Helpfulness Ratio\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.histplot(data=data, x='helpfulness_ratio', bins=20, color='blue', kde=True)\n",
    "plt.title('Distribution of Helpfulness Ratio')\n",
    "plt.xlabel('Helpfulness Ratio')\n",
    "plt.ylabel('Count')\n",
    "plt.grid(True, linestyle='--', alpha=0.6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAn0AAAIOCAYAAADNxbuiAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy88F64QAAAACXBIWXMAAA9hAAAPYQGoP6dpAACHHElEQVR4nOzdd3zM9x8H8NdlXWQvWUISYseIUGLFqlm7Rqldo4oSlFSNaDWtKqpqFTWqqlVaWrU3oURsYiViJLITkci6z++P/BznLpH75k4keT0fj++D+9zn+7339765yzuf9ZUJIQSIiIiIqFQzKO4AiIiIiEj/mPQRERERlQFM+oiIiIjKACZ9RERERGUAkz4iIiKiMoBJHxEREVEZwKSPiIiIqAxg0kdERERUBjDpIyIiIioDmPQR6cDFixcxbNgweHp6wtTUFBYWFmjQoAHmz5+PxMTE4g5PxeHDhyGTyXD48GGt97169SrmzJmDyMhIteeGDh0KDw+PIscnhUwmg0wmw9ChQzU+P3fuXGUdTbG/ysmTJzFnzhwkJydrtZ+Hh0e+MRERvW5M+oiK6Mcff4Svry/OnDmDqVOnYvfu3di+fTv69OmDFStWYMSIEcUdos5cvXoVQUFBGhOnmTNnYvv27a8/qP+ztLTE77//jsePH6uUCyGwbt06WFlZST72yZMnERQUpHXSt337dsycOVPy6xIR6RKTPqIiCAkJwYcffoh27dohNDQUY8eORatWrfD2228jMDAQ169fx7Bhw3TyWunp6RrLc3NzkZmZqZPXKIoqVarAx8en2F6/e/fuEELg119/VSk/ePAgIiIi0K9fv9cWS0ZGBgDAx8cHVapUeW2vS0RUECZ9REXw5ZdfQiaTYdWqVZDL5WrPm5iYoFu3bsrHCoUC8+fPR40aNSCXy+Ho6IjBgwfj/v37Kvu1atUK3t7eOHr0KJo2bQozMzMMHz4ckZGRkMlkmD9/Pr744gt4enpCLpfj0KFDAICzZ8+iW7dusLOzg6mpKXx8fPDbb7+98jzOnj2L/v37w8PDA+XKlYOHhwfee+893L17V1ln3bp16NOnDwCgdevWyu7SdevWAdDcvfv06VMEBgbC09MTJiYmqFChAj766CO1FjMPDw+888472L17Nxo0aIBy5cqhRo0aWLt27Stjf8ba2ho9e/ZU22ft2rVo1qwZqlWrprbPvn370L17d7i5ucHU1BReXl4YPXo04uPjlXXmzJmDqVOnAgA8PT2V5/2se/xZ7Nu2bYOPjw9MTU0RFBSkfO7F7t0xY8bA1NQUoaGhyjKFQoG2bdvCyckJ0dHRhT5fIiJtGRV3AEQlVW5uLg4ePAhfX19UrFixUPt8+OGHWLVqFcaNG4d33nkHkZGRmDlzJg4fPoxz587BwcFBWTc6Ohrvv/8+PvnkE3z55ZcwMHj+N9qSJUtQrVo1LFiwAFZWVqhatSoOHTqEjh07onHjxlixYgWsra3x66+/ol+/fkhPTy9wbFlkZCSqV6+O/v37w87ODtHR0Vi+fDkaNWqEq1evwsHBAV26dMGXX36JTz/9FD/88AMaNGgAAPm2ZAkh0KNHDxw4cACBgYFo0aIFLl68iNmzZyMkJAQhISEqifKFCxcwefJkTJ8+HU5OTli9ejVGjBgBLy8vtGzZslDv74gRI9C2bVtcu3YNNWvWRHJyMrZt24Zly5YhISFBrf7t27fh5+eHDz74ANbW1oiMjMTChQvRvHlzXLp0CcbGxvjggw+QmJiI77//Htu2bYOLiwsAoFatWsrjnDt3DteuXcNnn30GT09PmJuba4xv8eLFOH36NPr27YvQ0FDY2NggKCgIhw8fxu7du5XHJiLSC0FEksTExAgAon///oWqf+3aNQFAjB07VqX89OnTAoD49NNPlWX+/v4CgDhw4IBK3YiICAFAVKlSRWRlZak8V6NGDeHj4yOys7NVyt955x3h4uIicnNzhRBCHDp0SAAQhw4dyjfWnJwckZaWJszNzcV3332nLP/999/z3XfIkCHC3d1d+Xj37t0CgJg/f75KvS1btggAYtWqVcoyd3d3YWpqKu7evassy8jIEHZ2dmL06NH5xvkMAPHRRx8JhUIhPD09xZQpU4QQQvzwww/CwsJCPH78WHzzzTcCgIiIiNB4DIVCIbKzs8Xdu3cFAPHXX38pnytoX3d3d2FoaCjCw8M1PjdkyBCVsps3bworKyvRo0cPsX//fmFgYCA+++yzV54jEVFRsXuX6DV51gX7covbW2+9hZo1a+LAgQMq5ba2tmjTpo3GY3Xr1g3GxsbKx7du3cL169cxcOBAAEBOTo5y69y5M6KjoxEeHp5vbGlpaZg2bRq8vLxgZGQEIyMjWFhY4MmTJ7h27ZqU08XBgwcBqJ9vnz59YG5urna+9evXR6VKlZSPTU1NUa1aNZUu5ld5NoN348aNyMnJwZo1a9C3b19YWFhorB8bG4sxY8agYsWKMDIygrGxMdzd3QFAq/OuW7euxu5jTby8vPDjjz/izz//xDvvvIMWLVpgzpw5hX4tIiKp2L1LJJGDgwPMzMwQERFRqPrPuhc1deG5urqqJTcFdfW9/NyjR48AAFOmTMGUKVM07vPiOLWXDRgwAAcOHMDMmTPRqFEjWFlZQSaToXPnzspJCdpKSEiAkZERypcvr1Iuk8ng7Oys1t1qb2+vdgy5XK716w8bNgxBQUH48ssvce7cOXz//fca6ykUCrRv3x4PHz7EzJkzUadOHZibm0OhUKBJkyZava623bJdunSBk5MTHj16hICAABgaGmq1PxGRFEz6iCQyNDRE27Zt8e+//+L+/ftwc3MrsP6zpCY6Olqt7sOHD1XG8wF5yVF+Xn7u2b6BgYHo1auXxn2qV6+usTwlJQV///03Zs+ejenTpyvLMzMzi7TGoL29PXJychAXF6eS+AkhEBMTg0aNGkk+dkEqVqyIdu3aISgoCNWrV0fTpk011rt8+TIuXLiAdevWYciQIcryW7duaf2aBV0rTcaMGYPHjx+jdu3amDBhAlq0aAFbW1utX5eISBvs3iUqgsDAQAghMHLkSGRlZak9n52djZ07dwKAsqv2559/Vqlz5swZXLt2DW3btpUcR/Xq1VG1alVcuHABDRs21LhZWlpq3Fcmk0EIoTb7ePXq1cjNzVUpe1anMK1gz87n5fP9448/8OTJkyKd76tMnjwZXbt2LXCNvGeJ2svnvXLlSrW62pz3q6xevRo///wzli5dih07diA5OVlny/oQERWELX1EReDn54fly5dj7Nix8PX1xYcffojatWsjOzsbYWFhWLVqFby9vdG1a1dUr14do0aNwvfffw8DAwN06tRJOXu3YsWKmDRpUpFiWblyJTp16oQOHTpg6NChqFChAhITE3Ht2jWcO3cOv//+u8b9rKys0LJlS3zzzTdwcHCAh4cHjhw5gjVr1sDGxkalrre3NwBg1apVsLS0hKmpKTw9PTV2zb799tvo0KEDpk2bhtTUVDRr1kw5e9fHxweDBg0q0vkWpH379mjfvn2BdWrUqIEqVapg+vTpEELAzs4OO3fuxL59+9Tq1qlTBwDw3XffYciQITA2Nkb16tXzTaTzc+nSJUyYMAFDhgxRJnpr1qzBu+++i8WLF2PixIlaHY+ISCvFO4+EqHQ4f/68GDJkiKhUqZIwMTER5ubmwsfHR8yaNUvExsYq6+Xm5oqvv/5aVKtWTRgbGwsHBwfx/vvvi3v37qkcz9/fX9SuXVvtdZ7N3v3mm280xnHhwgXRt29f4ejoKIyNjYWzs7No06aNWLFihbKOptm79+/fF7179xa2trbC0tJSdOzYUVy+fFnj7NPFixcLT09PYWhoKACIn376SQihPntXiLwZuNOmTRPu7u7C2NhYuLi4iA8//FAkJSWp1HN3dxddunRROx9/f3/h7++v8VxfhP/P3i2Iphm4V69eFW+//bawtLQUtra2ok+fPiIqKkoAELNnz1bZPzAwULi6ugoDAwOV9y+/2J899+z9S0tLEzVq1BC1atUST548Uan30UcfCWNjY3H69OlXnisRkVQyIYQoxpyTiIiIiF4DjukjIiIiKgOY9BERERGVAUz6iIiIiMoAJn1ERERERXD06FF07doVrq6ukMlk+PPPP1+5z5EjR+Dr6wtTU1NUrlwZK1as0HucTPqIiIiIiuDJkyeoV68eli5dWqj6ERER6Ny5M1q0aIGwsDB8+umnmDBhAv744w+9xsnZu0REREQ6IpPJsH37dvTo0SPfOtOmTcOOHTtU7vE9ZswYXLhwASEhIXqLjS19RERERC/JzMxEamqqypaZmamTY4eEhKgtIN+hQwecPXsW2dnZOnkNTXhHDiIiIiqR/jHWfE9xXTgz4z0EBQWplM2ePRtz5swp8rFjYmLg5OSkUubk5IScnBzEx8fDxcWlyK+hyRuV9Onz4tGbpUt2ONoPCivuMOg12bvRBx2GnC/uMOg12bO+Ph6f2VXcYdBrYtmoc3GHoBeBgYEICAhQKXv5Xt1F8ez+3888G233crkuvVFJHxEREVFhyYz1lyDJ5XKdJnkvcnZ2RkxMjEpZbGwsjIyMNN7LXFc4po+IiIjoNfLz88O+fftUyvbu3YuGDRvC2NhYb6/LpI+IiIhKJAMjmd42baSlpeH8+fM4f/48gLwlWc6fP4+oqCgAeV3FgwcPVtYfM2YM7t69i4CAAFy7dg1r167FmjVrMGXKFJ29N5qwe5eIiIioCM6ePYvWrVsrHz8bCzhkyBCsW7cO0dHRygQQADw9PbFr1y5MmjQJP/zwA1xdXbFkyRL07t1br3Ey6SMiIqISSWb8ZnRYtmrVCgUte7xu3Tq1Mn9/f5w7d06PUalj0kdEREQlkrbdsGXdm5EiExEREZFesaWPiIiISiR9LtlSGrGlj4iIiKgMYEsfERERlUgc06cdtvQRERERlQFs6SMiIqISiWP6tMOWPiIiIqIygC19REREVCJxTJ92mPQRERFRiSQzZNKnDXbvEhEREZUBbOkjIiKiEsmALX1aYUsfERERURnAlj4iIiIqkWQGbOnTBlv6iIiIiMoAtvQRERFRiSQzZNuVNiQlfampqRrLZTIZ5HI5TExMihQUEREREemWpKTPxsYGMln+/ehubm4YOnQoZs+eDQMDZuFERESke5y9qx1JSd+6deswY8YMDB06FG+99RaEEDhz5gzWr1+Pzz77DHFxcViwYAHkcjk+/fRTXcdMRERExIkcWpKU9K1fvx7ffvst+vbtqyzr1q0b6tSpg5UrV+LAgQOoVKkS5s2bx6SPiIiI6A0gqe81JCQEPj4+auU+Pj4ICQkBADRv3hxRUVFFi46IiIgoHwaGMr1tpZGkpM/NzQ1r1qxRK1+zZg0qVqwIAEhISICtrW3RoiMiIiIinZDUvbtgwQL06dMH//77Lxo1agSZTIYzZ87g+vXr2Lp1KwDgzJkz6Nevn06DJSIiInpGVkpb5PRFUtLXrVs3hIeHY8WKFbhx4waEEOjUqRP+/PNPeHh4AAA+/PBDXcZJREREREUgeXFmDw8PfPXVV7qMhYiIiKjQZFwWTiuSk77k5GT8999/iI2NhUKhUHlu8ODBRQ6MiIiIiHRHUtK3c+dODBw4EE+ePIGlpaXKQs0ymYxJHxEREekd1+nTjqSkb/LkyRg+fDi+/PJLmJmZ6TomIiIiolcqrUur6IukzvAHDx5gwoQJTPiIiIiISghJSV+HDh1w9uxZXcdCREREVGgyA5nettJIUvduly5dMHXqVFy9ehV16tSBsbGxyvPdunXTSXBEREREpBuSkr6RI0cCAObOnav2nEwmQ25ubtGiIiIiInoFLtmiHUlJ38tLtBARERHRm03yOn1ERERExam0jr3Tl0InfUuWLMGoUaNgamqKJUuWFFh3woQJRQ6MiIiIiHSn0EnfokWLMHDgQJiammLRokX51pPJZEz6iIiISO+4Tp92Cp30RUREaPw/ERERUXFg9652JE17mTt3LtLT09XKMzIyNM7oJSIiIqLiJSnpCwoKQlpamlp5eno6goKCihwUERER0avIDAz0tpVGks5KCAGZTL1J9cKFC7CzsytyUERERESkW1ot2WJrawuZTAaZTIZq1aqpJH65ublIS0vDmDFjdB4kERER0cs4pk87WiV9ixcvhhACw4cPR1BQEKytrZXPmZiYwMPDA35+fjoPkoiIiIiKRqukb8iQIQAAT09PNG3aVO2eu0RERESvC1v6tCPpjhz+/v7K/2dkZCA7O1vleSsrq6JFRUREREQ6JSnpS09PxyeffILffvsNCQkJas/n5uYWOTAiIiKigrClTzuSkr6pU6fi0KFDWLZsGQYPHowffvgBDx48wMqVK/HVV1/pOsYSwa55Q1SePALWDbxh6uqIs73H4tGOAwXv06IRai2YDotaVZH5MBa3v12NqFW/qtRx7tke1eZ8DLMqlZB+Owrhsxbh0V/79XkqpKVBPZ3RubUDLMwNcf32Eyxdfx93HzzNt757BVMM7u2Cqh7l4FxejuU/38f2PXEqdTYsrAXn8nK1fXfsj8PS9fd1fg5UeO/3cEbnVvb/v97p+GFjIa53T2d4eZjBubwJVmx6gO17Va/3+gW14FzeRG3fHfvj8MPGBzo/B3q13/cdx8ZdhxCfnIrKFZwx+f0e8KlRRWPds1dvYcyXP6iVb50/HR6uTgCA7YdC8M+xM7h9PwYAUNPTDWP7doF3FXf9nUQZUFqXVtEXSUnfzp07sWHDBrRq1QrDhw9HixYt4OXlBXd3d2zatAkDBw7UdZxvPENzM6ReDMf99dvg+/vSV9Yv5+GGRjtX4d6a33F+yFTYNm0A7+9nIysuETHb9wIAbJrUh88vi3Bj9neI+Ws/nLu3Q4PNixHSagCS/7uo71OiQujbxRG9Ojliwaq7eBCTiQHdnfHVNC8M/+QqMp4qNO4jNzFATGwmjv2XhNED3TTWGT/7Bl78LvNwK4evp3vh6OlkPZwFFVbfzo7o1bE8vv0xCvdjMjGgmxOCp1bBiOnXCrjeMkTHZeHomWSMHlBBY50JQeEweKHFwqOCKb6a5oVjZ1L0ch5UsL2nwvDtz39i+tB3Ua+aJ7YdPIkJ36zC719Ph7ODbb77/fFNIMzLmSof21pZKP8feu0WOvg1QN1qnpAbG2H93wcx7usV+O2raXC0s9Hn6RApSUqRExMT4enpCSBv/F5iYiIAoHnz5jh69KjuoitB4vYcxY3ZixHz575C1Xcf1R9Po6JxdfKXSLt+B/fWbsW9ddtQOWC4so7n+CGI338St+evwpPwO7g9fxXiD56Cx/gh+joN0lLPjo7Y/FcMTpxNQeT9p/hm5V3ITWRo45f/L4YbEen48deHOHwqGdnZmhOFlMc5SEp5vjWub4UHjzJx8br6ouj0+vToUB6/7niEE6EpuPvgKRb8GAW5iQFaNynoemdg9ZaHOHI6GdnZQmOdlMe5L11vazzk9S42m/49jO6tGqNH6ybwrOCEyYN6wsneBlsPnChwPzsrSzjYWCk3wxf+cvti7CD0ebs5qrtXgIerEz77oB+EQuC/Kzf1fTqlmoGhTG9baSQp6atcuTIiIyMBALVq1cJvv/0GIK8F0MbGRlexlWo2Teojbr/qF0jc3mOw9vWGzCivAda2SX3E7z+uUid+3zHY+vm8tjgpf87lTWBvY4zQy4+VZdk5Ahevp6FWVXOdvY6RoQxtm9lhzxH18bP0+uR3vS+F6/56t2lqiz1Heb2LQ3ZODq5H3EcT7+oq5U28q+PizcgC9x342QJ0+GgWPvxyGc5eLTiZe5qZhZxcBawtzIoaMlGhSereHTZsGC5cuAB/f38EBgaiS5cu+P7775GTk4OFCxfqOsZSSe7kgMxH8SplWbEJMDA2homDLTJj4iB3dkDmI9Uv/sxHCZA7l3+doVI+7GzylixKSlGdvZ6cmgNHe/XxWVI19bWGhZkh9h5jElCc7Kzzvi6TUlWvd1Jqtn6u9/FEnR2TCi/58RPkKhSws7ZUKbeztkR8cqrGfRxsrDBjRF/U9HBDVk4udh0/iw+Dl2PljI/QIJ9xgEu3/I3yttZ4q3Y1nZ9DWcKJHNqRlPRNmjRJ+f/WrVvj+vXrOHv2LKpUqYJ69eq9cv/MzExkZmaqlMnl6oPWSz3xUlfPszucvFiuqc7LZfRatGlqi4+HVVQ+/uzbO3n/0XA5dHmFOvrb48zFVCQm5+jwqPQqrf1s8fHQ52MuZy7UfL1lkOn0gndoacfr/QZ4+VajQkPZMx6ujvBwdVQ+rlvVA48Sk7Dxn0Mak771fx/AnpAwrJzxEeQmXO+WXh+tk77s7Gy0b98eK1euRLVqeX+hVKpUCZUqVSr0MYKDgxEUFKRSNnv2bDTSNpgSLPNRvFqLnUl5Oyiys5GVkJxXJyYecmcHlTpyRzu1FkJ6PULOpeD6rSfKx8bGeaMjbG2MkZjy/Be0jZURkl9q/ZPK0d4YPt6WmPtdhE6OR4V3KiwF4bc1XG9r9eudlKqbBM3R3hg+tS3x+RJe7+JiY2kOQwMDJLzUqpeU8hj2L7X+FcTbywP/njirVr7xn0P4acd+LJv+IapWci1yvGUdZ+9qR+t3y9jYGJcvX873L57CCAwMREpKisoWGBgo+XglUfKp83Bo21SlrPzbzZESehkiJ+8XSNKp83Bo20yljkO75kgKCXttcdJzGU8VeBibpdzuPniKhORsNPB+/ovAyFCGujUscPXmkwKOVHgdWtojOTUHp89zFufrVtjrXae67q53+xb/v94XNHcjkv4ZGxmhhqcbTl++oVJ++vIN1K3qUejjhEfeh4ON6o0KNvx9EKv/3IvvPxmNWpUL31BCpCuSuncHDx6MNWvWSF6TTy6Xl7ruXENzM5h7Pf8Qm3m6wapeDWQlpuDpvWhU/yIAphWccGHYNADA3VW/wn3sQNT8ZjrurfkNNk18UHFYb4S9P1l5jMilG9Dk4M+oPGUkHu08AKeubeHQ1g8hrQa89vMjzbbvjsV7XZ3wMCYTDx5lon9XJ2RmCRwMSVLWmTraHQlJWVj7WzSAvEShUoW8ZR2MjQzgYGuMypXK4enTXDyMzVLuJ5MB7VvaY9+xRCg0T/Kl1+zPPXHo/44THjzKxIOYTLzX1QmZWQocOvXC9R5VCfFJ2fjpd03XWwb7gq53CzvsP87rXdwGdmqFWcs3oWbliqjr5YFth04iJiEJvf//h/rSLX8jNikFc8fkLU/2y+4jcHWwQ2U3Z2Tn5ODfE6E4eOYi5n88THnM9X8fwIqt/+KLsYPg4mCnHB9oZiqHmWnp+n34OnFMn3YkJX1ZWVlYvXo19u3bh4YNG8LcXHXmWlmczGHt6w2/AxuVj2st+BQAcG/DNlwcEQi5S3mUq+iifD4j8j7OdB2FWt8Gwv3Dgch8GIsrk+Yp1+gDgKSQMIQNDED1oImoHjQB6bfvIWzAJK7R9wb57Z9YyE0MMG5oRViaGeL6nScInH9LZc02R3tjiBfGYdrbGmPFvBrKx326OKFPFydcuPYYU7+8pSxvUNsSTg4mnMX5BvltVyxMTAwwbrDb/693OgK/ua1yvcvbmagkbfa2xlj++fOZoH06O6JPZ0dcuJaGT756fr19lNebEziKW/smPkh5/ASrt+9BfHIqqri54Lupo+DiYAcAiE9ORUz880Q/OycHi3/ZgbikFMhNjFG5ghMWTxmJ5vVrKets3X8C2Tm5mLZkncprjezZAaN7d3wt51UaMenTjkwI7WcFtG7dOv8DymQ4ePCgpGD+Ma7+6kpUKnTJDkf7QeymLiv2bvRBhyHnizsMek32rK+Px2d2FXcY9JpYNupcbK99d1QPvR3bfdWfejt2cZHU0nfo0KFC1bt//z5cXV1hwIGWREREpGOcyKEdvb5btWrVUi7iTERERETFR1JLX2FJ6DkmIiIiKhSO6dMO20WJiIiIygC9tvQRERER6QvH9GmH7xYRERFRGaDXlr6i3LWDiIiIqEDMM7Si15Y+TuQgIiIiejNonfTl5OTAyMgIly9ffmXdq1evwt3dXVJgRERERAWRGcj0tpVGWid9RkZGcHd3R25u7ivrVqxYEYaGhpICIyIiIiqIzMBAb5sUy5Ytg6enJ0xNTeHr64tjx44VWH/Tpk2oV68ezMzM4OLigmHDhiEhQX+33pR0Vp999hkCAwORmMh7RBIRERFt2bIFEydOxIwZMxAWFoYWLVqgU6dOiIqK0lj/+PHjGDx4MEaMGIErV67g999/x5kzZ/DBBx/oLUZJEzmWLFmCW7duwdXVFe7u7jA3N1d5/ty5czoJjoiIiCg/b1I37MKFCzFixAhl0rZ48WLs2bMHy5cvR3BwsFr9U6dOwcPDAxMmTAAAeHp6YvTo0Zg/f77eYpSU9PXo0UPHYRARERG9OTIzM5GZmalSJpfLIZfL1epmZWUhNDQU06dPVylv3749Tp48qfH4TZs2xYwZM7Br1y506tQJsbGx2Lp1K7p06aK7k3iJpKRv9uzZuo6DiIiISCv6XJw5ODgYQUFBKmWzZ8/GnDlz1OrGx8cjNzcXTk5OKuVOTk6IiYnRePymTZti06ZN6NevH54+fYqcnBx069YN33//vc7O4WVcnJmIiIjoJYGBgUhJSVHZAgMDC9zn5fWJhRD5rll89epVTJgwAbNmzUJoaCh2796NiIgIjBkzRmfn8DJJLX25ublYtGgRfvvtN0RFRSErK0vleU7wICIiIn3T55i+/LpyNXFwcIChoaFaq15sbKxa698zwcHBaNasGaZOnQoAqFu3LszNzdGiRQt88cUXcHFxKdoJaCCppS8oKAgLFy5E3759kZKSgoCAAPTq1QsGBgYamz2JiIiISisTExP4+vpi3759KuX79u1D06ZNNe6Tnp4Og5e6p58tc6evm1tISvo2bdqEH3/8EVOmTIGRkRHee+89rF69GrNmzcKpU6d0HSMRERGRmjdpceaAgACsXr0aa9euxbVr1zBp0iRERUUpu2sDAwMxePBgZf2uXbti27ZtWL58Oe7cuYMTJ05gwoQJeOutt+Dq6qqz9+hFkrp3Y2JiUKdOHQCAhYUFUlJSAADvvPMOZs6cqbvoiIiIiPKjx4kc2urXrx8SEhIwd+5cREdHw9vbG7t27VLemSw6Olplzb6hQ4fi8ePHWLp0KSZPngwbGxu0adMGX3/9td5ilJT0ubm5ITo6GpUqVYKXlxf27t2LBg0a4MyZM4Xu/yYiIiIqTcaOHYuxY8dqfG7dunVqZePHj8f48eP1HNVzklLknj174sCBAwCAjz/+GDNnzkTVqlUxePBgDB8+XKcBEhEREWkik8n0tpVGklr6vvrqK+X/3333XVSsWBEnTpyAl5cXunXrprPgiIiIiEg3JCV9R48eRdOmTWFklLd748aN0bhxY+Tk5ODo0aNo2bKlToMkIiIiepk+F2cujSS9W61bt9a4Fl9KSgpat25d5KCIiIiISLcktfTlt8J0QkICzM3NixwUERER0avoc3Hm0kirpK9Xr14A8gZODh06VGWmbm5uLi5evJjvIoREREREVHy0Svqsra0B5LX0WVpaoly5csrnTExM0KRJE4wcOVK3ERIRERFpwjF9WtEq6fvpp58AAOXLl8ecOXNgZmYGAIiMjMSff/6JmjVrwsHBQfdREhEREb2E3bvakZQih4WFYcOGDQCA5ORkNGnSBN9++y169OiB5cuX6zRAIiIiIio6yUlfixYtAABbt26Fk5MT7t69iw0bNmDJkiU6DZCIiIhIE5nMQG9baSTprNLT02FpaQkA2Lt3L3r16gUDAwM0adIEd+/e1WmARERERFR0kpI+Ly8v/Pnnn7h37x727NmD9u3bAwBiY2NhZWWl0wCJiIiINDKQ6W8rhSQlfbNmzcKUKVPg4eGBxo0bw8/PD0Beq5+Pj49OAyQiIiKiopO0OPO7776L5s2bIzo6GvXq1VOWt23bFj179tRZcERERET54W3YtCMp6QMAZ2dnODs7q5S99dZbRQ6IiIiIiHRPctJHREREVJy4Tp92mPQRERFRyVRKl1bRF75bRERERGUAW/qIiIioRGL3rnbY0kdERERUBrClj4iIiEomLtmiFb5bRERERGUAW/qIiIioRJLJOKZPG2zpIyIiIioD2NJHREREJRPH9GmFSR8RERGVSFyyRTtMkYmIiIjKALb0ERERUcnE27Bphe8WERERURnAlj4iIiIqmTimTyts6SMiIiIqA9jSR0RERCWSjGP6tMJ3i4iIiKgMkAkhRHEHQURERKStJz9+prdjm4/8Qm/HLi5vVPdu+0FhxR0CvSZ7N/rgH+PqxR0GvSZdssOx+3xWcYdBr0nH+iZo3vVIcYdBr8nxnf7F9toy3pFDK5KTvtzcXPz555+4du0aZDIZatasie7du8PQ0FCX8RERERGRDkhK+m7duoUuXbrg/v37qF69OoQQuHHjBipWrIh//vkHVapU0XWcRERERKpkXLJFG5LaRSdMmIDKlSvj3r17OHfuHMLCwhAVFQVPT09MmDBB1zESERERURFJauk7cuQITp06BTs7O2WZvb09vvrqKzRr1kxnwRERERHli2P6tCLp3ZLL5Xj8+LFaeVpaGkxMTIocFBERERHplqSk75133sGoUaNw+vRpCCEghMCpU6cwZswYdOvWTdcxEhEREamTyfS3lUKSkr4lS5agSpUq8PPzg6mpKUxNTdGsWTN4eXnhu+++03WMRERERFREksb02djY4K+//sLNmzdx/fp1CCFQq1YteHl56To+IiIiIo24Tp92irQ4c9WqVVG1alVdxUJERERUeLz3rlYKnfQFBATg888/h7m5OQICAgqsu3DhwiIHRkRERES6U+ikLywsDNnZ2cr/ExERERUrg9I54UJfCp30HTp0SOP/iYiIiOjNJ6kzfPjw4RrX6Xvy5AmGDx9e5KCIiIiIXkUmM9DbVhpJOqv169cjIyNDrTwjIwMbNmwoclBEREREpFtazd5NTU1VLsb8+PFjmJqaKp/Lzc3Frl274OjoqPMgiYiIiNRwTJ9WtEr6bGxsIJPJIJPJUK1aNbXnZTIZgoKCdBYcEREREemGVknfoUOHIIRAmzZt8Mcff8DOzk75nImJCdzd3eHq6qrzIImIiIjUlNKxd/qiVdLn7+8PAIiIiEDFihVhwJWwiYiIqLiU0nvk6oukO3K4u7sDANLT0xEVFYWsrCyV5+vWrVv0yIiIiIhIZyQlfXFxcRg2bBj+/fdfjc/n5uYWKSgiIiKiV2KPo1YkvVsTJ05EUlISTp06hXLlymH37t1Yv349qlatih07dug6RiIiIiIqIkktfQcPHsRff/2FRo0awcDAAO7u7nj77bdhZWWF4OBgdOnSRddxEhEREaniRA6tSHq3njx5olyPz87ODnFxcQCAOnXq4Ny5c7qLjoiIiIh0QlLSV716dYSHhwMA6tevj5UrV+LBgwdYsWIFXFxcdBogERERkUYGMv1tpZCk7t2JEyciOjoaADB79mx06NABmzZtgomJCdatW6fL+IiIiIhIByQlfQMHDlT+38fHB5GRkbh+/ToqVaoEBwcHnQVHRERElC+O6dOK1u9WdnY2KleujKtXryrLzMzM0KBBAyZ8RERERG8orVv6jI2NkZmZCRlXwSYiIqLixFxEK5LaRcePH4+vv/4aOTk5uo6HiIiIqHAMDPS3lUKSxvSdPn0aBw4cwN69e1GnTh2Ym5urPL9t2zadBEdEREREuiEplbWxsUHv3r3RoUMHuLq6wtraWmUjIiIi0juZTH+bBMuWLYOnpydMTU3h6+uLY8eOFVg/MzMTM2bMgLu7O+RyOapUqYK1a9dKeu3CkNTS99NPPxWq3okTJ9CwYUPI5XIpL0NERERUImzZsgUTJ07EsmXL0KxZM6xcuRKdOnXC1atXUalSJY379O3bF48ePcKaNWvg5eWF2NhYvQ6dk5T0FVanTp1w/vx5VK5cWZ8vQ0RERGXRG7Rky8KFCzFixAh88MEHAIDFixdjz549WL58OYKDg9Xq7969G0eOHMGdO3dgZ2cHAPDw8NBrjHp9t4QQ+jw8ERERkV5kZmYiNTVVZcvMzNRYNysrC6GhoWjfvr1Kefv27XHy5EmN++zYsQMNGzbE/PnzUaFCBVSrVg1TpkxBRkaGzs/lmTcnRSYiIiLShh5n7wYHB6vNWdDUYgcA8fHxyM3NhZOTk0q5k5MTYmJiNO5z584dHD9+HJcvX8b27duxePFibN26FR999JHO36Zn9Nq9S0RERFQSBQYGIiAgQKXsVXMUXl7DWAiR77rGCoUCMpkMmzZtUk6CXbhwId5991388MMPKFeuXBGi14xJHxEREZVMelycWS6XF3oiqoODAwwNDdVa9WJjY9Va/55xcXFBhQoVVFY9qVmzJoQQuH//PqpWrSo9+HzotXuXd+0gIiIivZEZ6G/TgomJCXx9fbFv3z6V8n379qFp06Ya92nWrBkePnyItLQ0ZdmNGzdgYGAANzc37d+LQuBEDiIiIqIiCggIwOrVq7F27Vpcu3YNkyZNQlRUFMaMGQMgr7t48ODByvoDBgyAvb09hg0bhqtXr+Lo0aOYOnUqhg8frpeuXUBi925GRgaEEDAzMwMA3L17F9u3b0etWrVUZq48fvxYN1ESERERvewN6lHs168fEhISMHfuXERHR8Pb2xu7du2Cu7s7ACA6OhpRUVHK+hYWFti3bx/Gjx+Phg0bwt7eHn379sUXX3yhtxglJX3du3dHr169MGbMGCQnJ6Nx48YwNjZGfHw8Fi5ciA8//FDXcRIRERG90caOHYuxY8dqfG7dunVqZTVq1FDrEtYnSd27586dQ4sWLQAAW7duhZOTE+7evYsNGzZgyZIlOg2QiIiISCM9LtlSGkk6q/T0dFhaWgIA9u7di169esHAwABNmjTB3bt3dRogERERERWdpKTPy8sLf/75J+7du4c9e/Yox/HFxsbCyspKpwESERERaSJkMr1tpZGkpG/WrFmYMmUKPDw80LhxY/j5+QHIa/Xz8fHRaYBEREREVHSSJnK8++67aN68OaKjo1GvXj1ledu2bdGzZ0+dBUdERESULy3X0yvrJN+Rw9nZGc7OzgCA1NRUHDx4ENWrV0eNGjV0FhwRERFRvpj0aUXSu9W3b18sXboUQN6afQ0bNkTfvn1Rt25d/PHHHzoNkIiIiIiKTlLSd/ToUeWSLdu3b4cQAsnJyViyZIleFxUkIiIieoYTObQjKelLSUmBnZ0dAGD37t3o3bs3zMzM0KVLF9y8eVOnARIRERFR0Uka01exYkWEhITAzs4Ou3fvxq+//goASEpKgqmpqU4DLIkG9XRG59YOsDA3xPXbT7B0/X3cffA03/ruFUwxuLcLqnqUg3N5OZb/fB/b98Sp1NmwsBacy8vV9t2xPw5L19/X+TlQweyaN0TlySNg3cAbpq6OONt7LB7tOFDwPi0aodaC6bCoVRWZD2Nx+9vViFr1q0od557tUW3OxzCrUgnpt6MQPmsRHv21X5+nQoV0bM+vOLhzHVKT4+DsVgW9hkxDlZq+GuteOL0fx/dtwYPIcOTkZMHFrQo6vjsWNes301j/3Il/sX7JJ6jTsDU+mMoF7t8kw99zR7cOLrC0MMLVG4+xcMVNRESl51u/a3tndGzjjMruebcpDb+VhpUbInDt5vPbkr7/bkX4N3WAewUzZGYpcOl6Kpavu4N7DzL0fj6lDsf0aUXSuzVx4kQMHDgQbm5ucHFxQatWrQDkdfvWqVNHl/GVOH27OKJXJ0cs3XAP42eHIyklB19N80I50/zfarmJAWJiM7H2t4dISM7WWGf87BvoN+6Scpv21S0AwNHTyfo4DXoFQ3MzpF4Mx5WP5xaqfjkPNzTauQqJx0NxvFEP3Pp6BWovmgHnns/vVW3TpD58flmEB5v+wjHf7niw6S802LwYNm/V1ddpUCGdO7kb29d/jfY9R2LqV7+jSg1frAj+EInx0Rrr374Wihp1/DB6+jJMCd4Cr9pv4cf543A/4ppa3cS4h/jz5wWoUqOBvk+DtDSwd0X06+GGhStv4YOAc0hIysKiuXVRrpxhvvv41LHB/qOxGP/pBYyeGoZHcU+xcG5dONiZPK/jbYNt/zzE6KlhmDTzIgwNZVg0ty5M5UxgSL8k/YSNHTsWISEhWLt2LU6cOAGD/9+upHLlymV+TF/Pjo7Y/FcMTpxNQeT9p/hm5V3ITWRo42eb7z43ItLx468PcfhUMrKzFRrrpDzOQVLK861xfSs8eJSJi9fT9HUqVIC4PUdxY/ZixPxZuHsmuo/qj6dR0bg6+UukXb+De2u34t66bagcMFxZx3P8EMTvP4nb81fhSfgd3J6/CvEHT8Fj/BB9nQYV0uF/NqBJm17wa9sbzm6V0WvoNNjaO+PE3i0a6/caOg1tuw+Hu5c3HF3c0fW9j1HexR2XQw+r1FMocrHh++no1Ocj2Du5vYYzIW306VYBG36LwtGQeEREpWPeouuQyw3R3t8x333mfnsd23c9xK2IJ4i6n4Gvl96AgQHQsN7z3wGT51zCvwceISIqHbcinyB4cTicHU1R3cvydZxW6SKT6W8rhST/WdGwYUN06dIFDx48QE5ODgCgS5cuaNZMc/dFWeBc3gT2NsYIvfy8GT87R+Di9TTUqmqus9cxMpShbTM77DmSoLNjkn7ZNKmPuP0nVMri9h6Dta83ZEZ5oyxsm9RH/P7jKnXi9x2DrR8XPC9OOTnZuHfnKqrXbapSXr1eU0TcOF+oYygUCjzNeAIzC2uV8t1bV8DCyhZ+bXrpKlzSEVcnUzjYyfFfWJKyLDtH4PzlZHjXKPydp+RyQxgZypCaprkXBwDMzfNaDlMf51+HSBck33t3xIgRMDMzQ+3atREVFQUAmDBhAr766qtX7p+ZmYnU1FSVLTMzU0oobxQ7G2MAQFKK6gc3OTUHttbGOnudpr7WsDAzxN5jTPpKCrmTAzIfxauUZcUmwMDYGCYOeS0AcmcHZD5SvaaZjxIgdy7/2uIkdU9Sk6BQ5MLK2l6l3NLaHo+TC/cZPPT3emRlZsDHr4Oy7M71MJw6tA39R83RZbikI3a2ed2xiclZKuVJyVnK5wrjwyGeiEvIwtnzSfnWGT+iCi5cSSlwrCDlw8BAf1spJOmsAgMDceHCBRw+fFhl4ka7du2wZYvm7o4XBQcHw9raWmULDg6WEkqxatPUFn/9WFe5GRr+vzlYqNfVUCRZR397nLmYisTkHB0elfROvPRT8Kz74MVyTXVeLqPi8XJvjxDqZRqEntiF3VuXY+jH38Dy/4nj04wn2Lg0EP1HzYGFVf5DP+j1edvfEXt/a67cjIzy+T6XyQr9hT6gV0W0a+mIGcFXkJWteaeAMV6o4mGBOd9clR58GcYlW7Qjafbun3/+iS1btqBJkyaQvfDG1KpVC7dv337l/oGBgQgICFApk8vl6PpByfqhDzmXguu3nigfGxvn5dC2NsZITHmekNlYGSE5RTfN9o72xvDxtsTc7yJ0cjx6PTIfxau12JmUt4MiOxtZCcl5dWLiIXd2UKkjd7RTayGk18vcyhYGBoZIfalV73FqojKJy8+5k7uxecVsDJv0LarX9VOWxz+6h8S4B/hx/nhlmRB543knvVcfMxbthINzRR2eBb3K8f8ScPXGWeVjk/9/n9vZmiAh6Xlrn621sVrrnybv9XTDoD6VMHHmBdyOfKKxzsRRXmj2lj3GBV5AXMKrj0lUVJKSvri4ODg6qg9kffLkiUoSmB+5XA65XH35kZIm46kCGU9VP6gJydlo4G2J23fzpt4bGcpQt4YF1mx5qJPX7NDSHsmpOTh9PkUnx6PXI/nUeTh2aa1SVv7t5kgJvQzx/zGxSafOw6FtM0R8t15Zx6FdcySFhL3WWEmVkZExKlauhfCLIaj3VltlefjFENRp2Drf/UJP7MLm5bMw+OOvUbtBS5XnnFw9Me2bbSplu7Z8j6dP09FryDTYODjr9iTolTIycvEgI1elLD4xE43q2+LmnbwJc0ZGMtT3tsGK9XcKPNZ7Pd0wpJ87Js++iPBbmifbTRrthZZ+DhgfeAHRj/Jf0otegUu2aEVS0teoUSP8888/GD8+76/UZ4nejz/+CD8/v4J2LfW2747Fe12d8DAmEw8eZaJ/VydkZgkcDHk+nmPqaHckJGVh7W95yz0YGcpQqUJeN7mxkQEcbI1RuVI5PH2ai4exz5NKmQxo39Ie+44lQqF5ki+9JobmZjD3qqR8bObpBqt6NZCVmIKn96JR/YsAmFZwwoVh0wAAd1f9CvexA1Hzm+m4t+Y32DTxQcVhvRH2/mTlMSKXbkCTgz+j8pSReLTzAJy6toVDWz+EtBrw2s+PVLXqMhg/Lw1EpSq14VG1Hk4e+B1J8dFo9nZfAMDOXxYjJTEW74/7EkBewvfzDzPQa8g0eFSth9TkvNZaYxM5yplZwthEDtdKVVVeo5x53szNl8up+Py+4wEG9amE+w/Tce9hBgb3rYTMzFzsPRKrrPPZpOqIS8jCyg15vS8DelXEB+97IGjBNUQ/eqoc653xNBcZT/O+uCd/6IV2LZ0QOO8y0jNylHXS0nORlcUvd9IfSUlfcHAwOnbsiKtXryInJwffffcdrly5gpCQEBw5ckTXMZYov/0TC7mJAcYNrQhLM0Ncv/MEgfNvKT/sQF4XrXhhnJa9rTFWzKuhfNynixP6dHHChWuPMfXLW8ryBrUt4eRggj1HOYGjuFn7esPvwEbl41oLPgUA3NuwDRdHBELuUh7lKroon8+IvI8zXUeh1reBcP9wIDIfxuLKpHmI2b5XWScpJAxhAwNQPWgiqgdNQPrtewgbMAnJ/118fSdGGjVo2hFPHidjzx8rkJIUB5eKXhg9fRnsyrsCAFKT45CU8HzNvpP7f4ciNwdb187D1rXzlOVv+XfDwLHz1I5Pb6ZNf9yD3MQAAR9WhaWFMa7eSMWkWReR8UKLoFN5UyheGK7Xs7MrTIwNMC+wtsqx1v4SibWb7/6/TgUAwNLg+ip15i2+jn8PPNLPyZRSgi19WpEJIW2U+KVLl7BgwQKEhoZCoVCgQYMGmDZtWpEWZ24/iN1YZcXejT74x7h6cYdBr0mX7HDsPs8xS2VFx/omaN61bDcAlCXHd/oX22unndqht2NbNOmmt2MXF0ktfQBQp04drF+//tUViYiIiPShlM6y1RfJSZ9CocCtW7cQGxsLxUsDzFq2bJnPXkRERERUHCQlfadOncKAAQNw9+5dvNw7LJPJkJubm8+eRERERLrBMX3akZT0jRkzBg0bNsQ///wDFxeXQi3TQkRERKRTzD+0Iinpu3nzJrZu3QovLy9dx0NEREREeiCpXbRx48a4devWqysSERER6YvMQH9bKSSppW/8+PGYPHkyYmJiUKdOHRgbG6s8X7duXZ0ER0RERES6ISnp6927NwBg+PDhyjKZTAYhBCdyEBER0WshOKZPK5KSvoiICF3HQURERER6JCnpc3d313UcRERERNoppWPv9KXQSd+OHYW/1Um3bqXv1iVEREREJVmhk74ePXoUqh7H9BEREdHrIMAxfdoodNL38q3WiIiIiIoT78ihHb5bRERERGWApIkcc+fOLfD5WbNmSQqGiIiIqNDY0qcVSUnf9u3bVR5nZ2cjIiICRkZGqFKlCpM+IiIiojeMpKQvLCxMrSw1NRVDhw5Fz549ixwUERER0atwcWbt6Kxd1MrKCnPnzsXMmTN1dUgiIiIi0hFJLX35SU5ORkpKii4PSURERKQRZ+9qR1LSt2TJEpXHQghER0dj48aN6Nixo04CIyIiIiLdkZT0LVq0SOWxgYEBypcvjyFDhiAwMFAngREREREViGP6tFLopO/ixYvw9vaGgYEBIiIi9BkTERER0Suxe1c7hX63fHx8EB8fDwCoXLkyEhIS9BYUEREREelWoZM+GxsbZQtfZGQkb8tGRERExUpApretNCp0927v3r3h7+8PFxcXyGQyNGzYEIaGhhrr3rlzR2cBEhEREVHRFTrpW7VqFXr16oVbt25hwoQJGDlyJCwtLfUZGxEREVG+OKZPO1rN3n22HEtoaCg+/vhjJn1EREREJYSkJVt++ukn5f/v3bsHmUwGNzc3nQVFRERE9EpcskUrktpFc3JyMHPmTFhbW8PDwwPu7u6wtrbGZ599huzsbF3HSERERERFJKmlb9y4cdi+fTvmz58PPz8/AEBISAjmzJmD+Ph4rFixQqdBEhEREb1MSGu7KrMkJX2bN2/Gr7/+ik6dOinL6tati0qVKqF///5M+oiIiEjvBLt3tSIpRTY1NYWHh4dauYeHB0xMTIoaExERERHpmKSk76OPPsLnn3+OzMxMZVlmZibmzZuHcePG6Sw4IiIiovwImYHettJIUvduWFgYDhw4ADc3N9SrVw8AcOHCBWRlZaFt27bo1auXsu62bdt0EykRERERSSYp6bOxsUHv3r1VyipWrKiTgIiIiIgKo7TeLk1firxOHxERERG9+SQlfURERETFrbSOvdOXQid9Pj4+kBVyavS5c+ckB0REREREulfopK9Hjx56DIOIiIhIO1ynTzuFTvpmz56tzziIiIiISI8kd4YnJydj9erVCAwMRGJiIoC8bt0HDx7oLDgiIiKi/AjI9LaVRpImcly8eBHt2rWDtbU1IiMjMXLkSNjZ2WH79u24e/cuNmzYoOs4iYiIiFRwIod2JL1bAQEBGDp0KG7evAlTU1NleadOnXD06FGdBUdEREREuiGppe/MmTNYuXKlWnmFChUQExNT5KCIiIiIXqW0dsPqi6SWPlNTU6SmpqqVh4eHo3z58kUOioiIiIh0S1LS1717d8ydOxfZ2dkAAJlMhqioKEyfPl3t9mxERERE+iBkBnrbpFi2bBk8PT1hamoKX19fHDt2rFD7nThxAkZGRqhfv76k1y0sSWe1YMECxMXFwdHRERkZGfD394eXlxcsLCwwb948XcdIRERE9EbbsmULJk6ciBkzZiAsLAwtWrRAp06dEBUVVeB+KSkpGDx4MNq2bav3GCWN6bOyssLx48dx6NAhhIaGQqFQoEGDBmjXrp2u4yMiIiLS6E0a07dw4UKMGDECH3zwAQBg8eLF2LNnD5YvX47g4OB89xs9ejQGDBgAQ0ND/Pnnn3qNUfK9dw8cOIADBw4gNjYWCoUC169fxy+//AIAWLt2rc4CJCIiInrdMjMzkZmZqVIml8shl8vV6mZlZSE0NBTTp09XKW/fvj1OnjyZ72v89NNPuH37Nn7++Wd88cUXugm8AJK6d4OCgtC+fXscOHAA8fHxSEpKUtmIiIiI9E2fY/qCg4NhbW2tsuXXYhcfH4/c3Fw4OTmplDs5OeW7qsnNmzcxffp0bNq0CUZGktvgtCLpVVasWIF169Zh0KBBuo6HiIiIqFD02b0bGBiIgIAAlTJNrXwvkr10L2AhhFoZAOTm5mLAgAEICgpCtWrVih5sIUlK+rKystC0aVNdx0JERET0RsivK1cTBwcHGBoaqrXqxcbGqrX+AcDjx49x9uxZhIWFYdy4cQAAhUIBIQSMjIywd+9etGnTpugn8RKZEEJou9O0adNgYWGBmTNn6jwgIiIiosK4feeO3o5dpXJlreo3btwYvr6+WLZsmbKsVq1a6N69u1q3sEKhwNWrV1XKli1bhoMHD2Lr1q3w9PSEubm59ODzUeiWvhebOBUKBVatWoX9+/ejbt26MDY2Vqm7cOFCScF0GHJe0n5U8uxZXx+7z2cVdxj0mnSsb4J/jKsXdxj0mnTJDod/r/wHr1PpcmQbe/6AvDxp0KBBaNiwIfz8/LBq1SpERUVhzJgxAPK6ix88eIANGzbAwMAA3t7eKvs7OjrC1NRUrVyXCp30hYWFqTx+toDg5cuXVco19V0TERER6ZoQb07O0a9fPyQkJGDu3LmIjo6Gt7c3du3aBXd3dwBAdHT0K9fs0zdJ3bv6wpa+soMtfWULW/rKFrb0lS3F2dJ363aE3o7tVcVTb8cuLq9njjARERGRjglpK8+VWXy3iIiIiMoAtvQRERFRifQm3YatJGDSR0RERCUSkz7tsHuXiIiIqAxgSx8RERGVSGzp0w5b+oiIiIjKALb0ERERUYnElj7tsKWPiIiIqAwoUktfVlYWYmNjoVAoVMorVapUpKCIiIiIXuVNug1bSSAp6bt58yaGDx+OkydVb7MjhIBMJkNubq5OgiMiIiIi3ZCU9A0dOhRGRkb4+++/4eLiApmMmTYRERG9XhzTpx1JSd/58+cRGhqKGjVq6DoeIiIiokJh0qcdSRM5atWqhfj4eF3HQkRERER6UuikLzU1Vbl9/fXX+OSTT3D48GEkJCSoPJeamqrPeImIiIgA5LX06WsrjQrdvWtjY6Mydk8IgbZt26rU4UQOIiIiojdToZO+Q4cO6TMOIiIiIq1wyRbtFDrp8/f3V/4/KioKFStWVJu1K4TAvXv3dBcdEREREemEpIkcnp6eiIuLUytPTEyEp6dnkYMiIiIiehUFZHrbSiNJSd+zsXsvS0tLg6mpaZGDIiIiIiLd0mqdvoCAAACATCbDzJkzYWZmpnwuNzcXp0+fRv369XUaIBEREZEmpXWWrb5olfSFhYUByGvpu3TpEkxMTJTPmZiYoF69epgyZYpuIyQiIiLSgBM5tKNV0vdsBu+wYcPw3XffwcrKSi9BEREREZFuSboN208//aTrOIiIiIi0wu5d7UhK+nr16qWxXCaTwdTUFF5eXhgwYACqV69epOCIiIiISDckzd61srLCwYMHce7cOeUs3rCwMBw8eBA5OTnYsmUL6tWrhxMnTug0WCIiIqJnhJDpbSuNJLX0OTs7Y8CAAVi6dCkMDPLyRoVCgY8//hiWlpb49ddfMWbMGEybNg3Hjx/XacBEREREpD1JLX1r1qzBxIkTlQkfABgYGGD8+PFYtWoVZDIZxo0bh8uXL+ssUCIiIqIXCcj0tpVGkpK+nJwcXL9+Xa38+vXryM3NBQCYmppqXMCZiIiIiF4/Sd27gwYNwogRI/Dpp5+iUaNGkMlk+O+///Dll19i8ODBAIAjR46gdu3aOg2WiIiI6JnSOvZOXyQlfYsWLYKTkxPmz5+PR48eAQCcnJwwadIkTJs2DQDQvn17dOzYUXeREhEREb1AUdwBlDCSkj5DQ0PMmDEDM2bMQGpqKgCoLdRcqVKlokdHRERERDohKel7Ee/KQURERMWB3bvakTSR49GjRxg0aBBcXV1hZGQEQ0NDlY2IiIiI3iySWvqGDh2KqKgozJw5Ey4uLpylS0RERK9daV1aRV8kJX3Hjx/HsWPHUL9+fR2HQ0RERET6ICnpq1ixIoQQuo6FiIiIqNA4pk87ksb0LV68GNOnT0dkZKSOwyEiIiIifZDU0tevXz+kp6ejSpUqMDMzg7GxscrziYmJOgmOiIiIKD8c06cdSUnf4sWLdRwGERERkXYUHGmmFUlJ35AhQ3QdBxERERHpkaQxfQBw+/ZtfPbZZ3jvvfcQGxsLANi9ezeuXLmis+CIiIiI8iMg09tWGklK+o4cOYI6derg9OnT2LZtG9LS0gAAFy9exOzZs3UaIBEREREVnaSkb/r06fjiiy+wb98+mJiYKMtbt26NkJAQnQVHRERElB8hZHrbSiNJSd+lS5fQs2dPtfLy5csjISGhyEERERERkW5JSvpsbGwQHR2tVh4WFoYKFSoUOSgiIiKiVxFCf1tpJCnpGzBgAKZNm4aYmBjIZDIoFAqcOHECU6ZMweDBg3UdIxEREREVkaSkb968eahUqRIqVKiAtLQ01KpVCy1btkTTpk3x2Wef6TpGIiIiIjUKyPS2lUaS1ukzNjbGpk2bMHfuXISFhUGhUMDHxwdVq1bVdXwl0vs9nNG5lT0szA1x/XY6fth4H3cfPM23vnsFUwzu6QwvDzM4lzfBik0PsH1vnEqd9Qtqwbm8idq+O/bH4YeND3R+DvRqx/b8ioM71yE1OQ7OblXQa8g0VKnpq7HuhdP7cXzfFjyIDEdOThZc3Kqg47tjUbN+M431z534F+uXfII6DVvjg6lL9HkaVAh2zRui8uQRsG7gDVNXR5ztPRaPdhwoeJ8WjVBrwXRY1KqKzIexuP3takSt+lWljnPP9qg252OYVamE9NtRCJ+1CI/+2q/PUyEtDe1XEV3fdoKluSGu3kzD4h/vIPJeRr7132nniA6tHOFZyQwAEH47DT9uisL1W2kq9Xp0dEb/7q6wszVB5L10LF0bgYvXHuv1XEqj0jrhQl8kr9MHAFWqVMG7776Lvn37MuH7v76dHdGrY3n8sPE+xs+5gaSUbARPrYJypvm/1XITGaLjsrD294dISM7WWGdCUDj6T7is3KZ/fQsAcOxMil7Ogwp27uRubF//Ndr3HImpX/2OKjV8sSL4QyTGq491BYDb10JRo44fRk9fhinBW+BV+y38OH8c7kdcU6ubGPcQf/68AFVqNND3aVAhGZqbIfViOK58PLdQ9ct5uKHRzlVIPB6K44164NbXK1B70Qw492yvrGPTpD58flmEB5v+wjHf7niw6S802LwYNm/V1ddpkJbe61kBfbu6YPGPdzB62iUkJmfj29m1C/w+r+9tjQPH4zFx1mWMDbyE2PhMLJhdCw52L6x00cwe44Z5YOMf9zFy8gVcvJaKrz+rBUcH9T/siXSp0C19AQEBhT7owoULJQVTGvToUB6/7niEE6F5ydiCH6Pw6xJvtG5ii12HNc9svhGRgRsReX85Du/jqrFOyuNclcf9uljj4aNMXLyeprE+6dfhfzagSZte8GvbGwDQa+g0XL9wAif2bkHXARPV6vcaOk3lcdf3Psbls4dwOfQw3DxrKssVilxs+H46OvX5CHeuhyLjCf/yfxPE7TmKuD1HC13ffVR/PI2KxtXJXwIA0q7fgbVvHVQOGI6Y7XsBAJ7jhyB+/0ncnr8KAHB7/irYtXwLHuOH4Pygybo/CdJan3dcsPGPBzh2Ou9+8sFLbmL7T43QrmV57Nz7SOM+Xyy+qfL4m+W34e9nD9+61thzOK8Hp29XV+w6EIt/9ufd2GDp2ki8Vd8G3Ts448dNUXo8o9KntE640JdCJ31hYWGFqieTld2mVufyJrC3MUbo5ee/qLNzBC6Fp6FWVfN8kz5tGRnK0KapLbbtjtXJ8Ug7OTnZuHfnKtp2H6FSXr1eU0TcOF+oYygUCjzNeAIzC2uV8t1bV8DCyhZ+bXrhzvVQXYVMr5lNk/qI239CpSxu7zFUHNYbMiMjiJwc2Dapj4gl61TqxO87Bo/xvM3lm8DFSQ57WxOcPZ+sLMvOEbhwJRXe1S3zTfpeJjcxgJGhDKmPcwAARkYyVKtigV+2qw7LOXM+Gd41LHUWP5EmhU76Dh06pPXB79+/D1dXVxgYFKkXucSws857O5NSVbtok1Kz4Wivu2b7pr7WsDAzxN7jiTo7JhXek9QkKBS5sLK2Vym3tLbH4+TCJfaH/l6PrMwM+Ph1UJbduR6GU4e24ZOvt+o0Xnr95E4OyHwUr1KWFZsAA2NjmDjYIjMmDnJnB2Q+Uv15yXyUALlz+dcZKuXDzibvOzsxOUulPCk5C07l5YU+zuhB7ohLzELoxWQAgLWlEYwMZUh8aShPUkq28jWp8Err7dL0RdJEjsKqVasWzp8/j8qVK6uUZ2ZmIjMzU6VMLi/8h+hN0drPFh8PdVM+nrnwTt5/XmpulkGmVlYUHVra4czFVCQm5+juoKS9l79rhFAv0yD0xC7s3rocH0z5Dpb/TxyfZjzBxqWB6D9qDiysbHUfK71+L/c7PesFebFcUx32VxWLdi0dMHl0FeXj6fPyxtu+fDVkMlmhv87f6+GKts0d8PGsK8jKfmkvDddZ8NqTnuk16cvvBzg4OBhBQUEqZXn37O2hz3B07lRYCsJvP1E+NjbOa9G0tTZGYsrzhMzGyghJqbpJ0BztjeFT2xKfL4nQyfFIe+ZWtjAwMETqS616j1MTlUlcfs6d3I3NK2Zj2KRvUb2un7I8/tE9JMY9wI/zxyvLhFAAACa9Vx8zFu2Eg3NFHZ4F6VPmo3i1FjuT8nZQZGcjKyE5r05MPOTODip15I52ai2E9Hqc+C8R1248HyNtbJyXpNvbmCAx6XmrnI21MZLymXD3on7dXTGwtxsmz7mCO3fTleUpj3OQkytgZ6vaqmdrbYyklFcfl1QpmCdrRa9JX34CAwPVJobI5XJ0G6U+k/FNlvFUgYynqk3/CcnZaOBtidtReRMzjAxlqFPdAmt+e6iT12zfwh7JqTk4fSFVJ8cj7RkZGaNi5VoIvxiCem+1VZaHXwxBnYat890v9MQubF4+C4M//hq1G7RUec7J1RPTvtmmUrZry/d4+jQdvYZMg42Ds25PgvQq+dR5OHZR/Vko/3ZzpIRehsjJ+wMw6dR5OLRthojv1ivrOLRrjqSQwo2fJt3KeKrAgxjVpbUSkrLQsJ41bkbk/XFvZCRDvdpWWLnxboHH6t/dFYPedcPUz6+qNAwAQE6OwI3baWhYz0Y5QQQAGtazwfH/OGSH9KtYkj65XF4iu3ML4889cej/jhMePMrEg5hMvNfVCZlZChw6laSsM3VUJcQnZeOn3/OW9zAylKFSBVMAgLGRDPa2xqhcqRyePs3Fw9jnSaVMBrRvYYf9xxOhULze8yJVrboMxs9LA1GpSm14VK2Hkwd+R1J8NJq93RcAsPOXxUhJjMX74/Jmb4ae2IWff5iBXkOmwaNqPaQm57XmGJvIUc7MEsYmcrhWUl32qJx53qDul8vp9TM0N4O5VyXlYzNPN1jVq4GsxBQ8vReN6l8EwLSCEy4My5ulfXfVr3AfOxA1v5mOe2t+g00TH1Qc1hth7z+flRu5dAOaHPwZlaeMxKOdB+DUtS0c2vohpNWA135+pNnvf0djYG833I9+ivvRT/F+rwrIzFRg/9Hn66h+OsELcQlZylm37/VwxfD3KuHzRTcQE5sJOxtjAEDG01xkPM374v5t50PMmFAV4bfScCX8Md5p7wRHBzl2FHJyCD3Hdfq0UyxJX2n2265YmJgYYNxgN1iaGeL6nXQEfnNb+WEHgPJ2JipJm72tMZZ/Xl35uE9nR/Tp7IgL19LwyVe3lOU+tS3h5GCCPUf512Bxa9C0I548TsaeP1YgJSkOLhW9MHr6MtiVz1tyJzU5DkkJz9fsO7n/dyhyc7B17TxsXTtPWf6WfzcMHDtP7fj0ZrH29YbfgY3Kx7UWfAoAuLdhGy6OCITcpTzKVXRRPp8ReR9nuo5CrW8D4f7hQGQ+jMWVSfOUy7UAQFJIGMIGBqB60ERUD5qA9Nv3EDZgEpL/u/j6TowKtHn7A8hNDDBpVGVYmBvh2s3HmDL3qsr3uaODXOX7vHtHZ5gYG+DzT2qoHOunLfewbss9AMChEwmwtjTG4L5usLc1QURUOqbNu4ZHcapj3enVOAxSOzKhx5GjVlZWGidy5KfDkPP6CoXeMHvW18fu81mvrkilQsf6JvjHuPqrK1Kp0CU7HP69ThZ3GPSaHNnWtNhee9c5/Y2D7NzAWG/HLi7FMpGDiIiIqKhK6z1y9UXSAnr79u1Denr6K+tdvXoV7u7uUl6CiIiIiHRIUktf7969kZmZCV9fX/j7+6NVq1Zo1qwZLCwsVOpVrMglJoiIiEg/2KGoHUktfUlJSTh8+DC6deuGsLAw9OnTB3Z2dmjSpAmmT5+u6xiJiIiIqIgkJX2Ghobw8/PD9OnTsXv3bpw8eRIDBgxAaGgovvnmG13HSERERKRGCJnettJIUvfutWvXcOTIERw+fBhHjhxBbm4umjdvjm+//Rb+/v66jpGIiIiIikhSS1/t2rUxe/Zs1KtXD/v370dsbCy2bduGCRMmoF69erqOkYiIiEiNQuhvk2LZsmXw9PSEqakpfH19cezYsXzrbtu2DW+//TbKly8PKysr+Pn5Yc+ePRLficKRlPRNmDABFSpUwJw5czB8+HBMmzYN//77L9LS0l69MxEREVEps2XLFkycOBEzZsxAWFgYWrRogU6dOiEqKkpj/aNHj+Ltt9/Grl27EBoaitatW6Nr164IC9PfrRiLtDhzcnIyjh07hiNHjuDIkSO4dOkS6tevj1OnTkk6HhdnLju4OHPZwsWZyxYuzly2FOfizNv/y9XbsXu+ZahV/caNG6NBgwZYvny5sqxmzZro0aMHgoODC3WM2rVro1+/fpg1a5ZWr11YRVqcWaFQICcnB1lZWcjMzER2djYiIyN1FBoRERFR/oQeF2fOzMxEZqbqrfHkcjnkcrla3aysLISGhqqtYNK+fXucPFm4P4AUCgUeP34MOzs76UG/gqTu3Y8//hj16tWDo6MjRo8ejYcPH2LUqFG4cOECYmJidB0jERER0WsVHBwMa2trlS2/Frv4+Hjk5ubCyclJpdzJyanQedG3336LJ0+eoG/fvkWOPT+SWvoePHiAkSNHolWrVvD29tZ1TERERESvJHXCRWEEBgYiICBApUxTK9+LZDLVlkchhFqZJps3b8acOXPw119/wdHRUftgC0lS0rd161Zdx0FERET0xsivK1cTBwcHGBoaqrXqxcbGqrX+vWzLli0YMWIEfv/9d7Rr105yvIUhqXsXADZu3IhmzZrB1dUVd+/eBQAsXrwYf/31l86CIyIiIsqPEPrbtGFiYgJfX1/s27dPpXzfvn1o2jT/iS6bN2/G0KFD8csvv6BLly5S3gKtSEr6li9fjoCAAHTu3BnJycnIzc2bPWNjY4PFixfrMj4iIiKiN15AQABWr16NtWvX4tq1a5g0aRKioqIwZswYAHndxYMHD1bW37x5MwYPHoxvv/0WTZo0QUxMDGJiYpCSkqK3GCUlfd9//z1+/PFHzJgxA4aGz6c0N2zYEJcuXdJZcERERET5eVNa+gCgX79+WLx4MebOnYv69evj6NGj2LVrF9zd3QEA0dHRKmv2rVy5Ejk5Ofjoo4/g4uKi3D7++GNdvT1qJI3pi4iIgI+Pj1q5XC7HkydPihwUERERUUkzduxYjB07VuNz69atU3l8+PBh/Qf0EkktfZ6enjh//rxa+b///otatWoVNSYiIiKiV1IImd620khSS9/UqVPx0Ucf4enTpxBC4L///sPmzZsRHByM1atX6zpGIiIiIjXS7ylWNklK+oYNG4acnBx88sknSE9Px4ABA1ChQgV899136N+/v65jJCIiIqIiknwbtpEjR2LkyJGIj4+HQqHQ62KCRERERC9jS592inTvXSBvQUIiIiIierMVOulr0KABDhw4AFtbW/j4+BR4W5Fz587pJDgiIiKi/OjzNmylUaGTvu7duytvR9K9e/dC3UuOiIiIiN4MhU76Zs+erfz/nDlz9BELERERUaGJUrq0ir5IWqdv2LBhOHDgAARHUBIRERGVCJKSvoSEBHTp0gVubm6YPHmyxoWaiYiIiPTpTboNW0kgKenbsWMHYmJiMHv2bISGhsLX1xe1atXCl19+icjISB2HSERERKROIfS3lUaSkj4AsLGxwahRo3D48GHcvXsXw4YNw8aNG+Hl5aXL+IiIiIhIB4q8Tl92djbOnj2L06dPIzIyEk5OTrqIi4iIiKhApbUbVl8kt/QdOnQII0eOhJOTE4YMGQJLS0vs3LkT9+7d02V8RERERKQDklr63NzckJCQgA4dOmDlypXo2rUrTE1NdR0bERERUb7Y0qcdSUnfrFmz0KdPH9ja2uo6HiIiIiLSA0lJ36hRowAAt27dwu3bt9GyZUuUK1cOQgjeqYOIiIhei9I6y1ZfJK/T17ZtW1SrVg2dO3dGdHQ0AOCDDz7A5MmTdRogERERERWdpKRv0qRJMDY2RlRUFMzMzJTl/fr1w+7du3UWHBEREVF+uDizdiR17+7duxd79uyBm5ubSnnVqlVx9+5dnQRGREREVBCForgjKFkktfQ9efJEpYXvmfj4eMjl8iIHRURERES6JSnpa9myJTZs2KB8LJPJoFAo8M0336B169Y6C46IiIgoP+ze1Y6k7t0FCxbA398fZ8+eRVZWFj755BNcuXIFiYmJOHHihK5jJCIiIqIi0jrpy87OxtixY7Fjxw78+++/MDQ0xJMnT9CrVy989NFHcHFx0UecRERERCpKa4ucvmid9BkbG+Py5cuwt7dHUFCQPmIiIiIiIh2TNKZv8ODBWLNmja5jISIiIio0hdDfVhpJGtOXlZWF1atXY9++fWjYsCHMzc1Vnl+4cKFOgiMiIiIi3ZCU9F2+fBkNGjQAANy4cUPlOd6GjYiIiF4HoddBfaUvn5GU9B06dEjXcRARERFphRM5tCNpTB8RERERlSySWvqIiIiIihtvw6YdtvQRERERlQFs6SMiIqISiWP6tMOWPiIiIqIygC19REREVCKV1kWU9YUtfURERERlgEzod2VDIiIiIr349k/9pTCTe3BxZr16fGZXcYdAr4llo85o3vVIcYdBr8nxnf7w73WyuMOg1+TItqb4x7h6cYdBr0mX7PBie22h1/7d0pf0sXuXiIiIqAx4o1r6iIiIiAqLEzm0w5Y+IiIiojKALX1ERERUInEqqnbY0kdERERUBrClj4iIiEokBQf1aYUtfURERERlAFv6iIiIqETimD7tMOkjIiKiEolJn3bYvUtERERUBrClj4iIiEokBZv6tMKWPiIiIqIygC19REREVCIJRXFHULKwpY+IiIioDGBLHxEREZVIgmP6tMKWPiIiIqIygC19REREVCIpOKZPK0z6iIiIqERi96522L1LREREVAawpY+IiIhKJAUb+rTClj4iIiKiMoAtfURERFQiCTb1aYUtfURERERlgKSkb/jw4Xj8+LFa+ZMnTzB8+PAiB0VERET0KkLobyuNJCV969evR0ZGhlp5RkYGNmzYUOSgiIiIiEi3tBrTl5qaCiEEhBB4/PgxTE1Nlc/l5uZi165dcHR01HmQRERERC9TcEyfVrRK+mxsbCCTySCTyVCtWjW152UyGYKCgnQWHBERERHphlbdu4cOHcKBAwcghMDWrVtx8OBB5Xb8+HFERUVhxowZ+oqViIiISOlZ76M+NimWLVsGT09PmJqawtfXF8eOHSuw/pEjR+Dr6wtTU1NUrlwZK1askPS6haVVS5+/vz8AICIiAhUrVoSBASf/EhERUfEQb9C9d7ds2YKJEydi2bJlaNasGVauXIlOnTrh6tWrqFSpklr9iIgIdO7cGSNHjsTPP/+MEydOYOzYsShfvjx69+6tlxglrdPn7u6O5ORk/Pfff4iNjYXipTseDx48WCfBEREREZUECxcuxIgRI/DBBx8AABYvXow9e/Zg+fLlCA4OVqu/YsUKVKpUCYsXLwYA1KxZE2fPnsWCBQverKRv586dGDhwIJ48eQJLS0vIZDLlczKZjEkfERER6Z1Cj2urZGZmIjMzU6VMLpdDLper1c3KykJoaCimT5+uUt6+fXucPHlS4/FDQkLQvn17lbIOHTpgzZo1yM7OhrGxcRHPQJ2k/tnJkycr1+pLTk5GUlKScktMTNR1jERERESvVXBwMKytrVU2TS12ABAfH4/c3Fw4OTmplDs5OSEmJkbjPjExMRrr5+TkID4+Xjcn8RJJLX0PHjzAhAkTYGZmput4iIiIiApF6oSLwggMDERAQIBKmaZWvhe92PMJ5MX3ctmr6msq1xVJSV+HDh1w9uxZVK5cWdfxEBERERW7/LpyNXFwcIChoaFaq15sbKxaa94zzs7OGusbGRnB3t5eWtCvICnp69KlC6ZOnYqrV6+iTp06av3O3bp100lwRERERPl5UxZnNjExga+vL/bt24eePXsqy/ft24fu3btr3MfPzw87d+5UKdu7dy8aNmyol/F8gMSkb+TIkQCAuXPnqj0nk8mQm5tbtKiIiIiISpCAgAAMGjQIDRs2hJ+fH1atWoWoqCiMGTMGQF538YMHD5S3qx0zZgyWLl2KgIAAjBw5EiEhIVizZg02b96stxglJX0vL9FCRERE9LrpcUif1vr164eEhATMnTsX0dHR8Pb2xq5du+Du7g4AiI6ORlRUlLK+p6cndu3ahUmTJuGHH36Aq6srlixZorflWgCJSd+Lnj59qnIPXiIiIqLXQbwh3bvPjB07FmPHjtX43Lp169TK/P39ce7cOT1H9ZykJVtyc3Px+eefo0KFCrCwsMCdO3cAADNnzsSaNWt0GiARERERFZ2kpG/evHlYt24d5s+fDxMTE2V5nTp1sHr1ap0FR0RERJQfhRB620ojSUnfhg0bsGrVKgwcOBCGhobK8rp16+L69es6C46IiIiIdEPy4sxeXl5q5QqFAtnZ2UUOioiIiOhV3rQxfW86SS19tWvXxrFjx9TKf//9d/j4+BQ5KCIiIiLSLUktfbNnz8agQYPw4MEDKBQKbNu2DeHh4diwYQP+/vtvXcdIREREpIYtfdqR1NLXtWtXbNmyBbt27YJMJsOsWbNw7do17Ny5E2+//bauYyQiIiKiIpK8Tl+HDh3QoUMHXcZCREREVGhs6NNOkRdnTktLU7tDh5WVVVEPS0RERFQgdu9qR1L3bkREBLp06QJzc3NYW1vD1tYWtra2sLGxga2tra5jJCIiIqIiktTSN3DgQADA2rVr4eTkBJlMptOgiIiIiF5FlNJFlPVFUtJ38eJFhIaGonr16rqOh4iIiIj0QFLS16hRI9y7d49J30t+33ccG3cdQnxyKipXcMbk93vAp0YVjXXPXr2FMV/+oFa+df50eLg6AQC2HwrBP8fO4Pb9GABATU83jO3bBd5V3PV3EqS14e+5o1sHF1haGOHqjcdYuOImIqLS863ftb0zOrZxRmV3MwBA+K00rNwQgWs3HyvrvP9uRfg3dYB7BTNkZilw6Xoqlq+7g3sPMvR+PlSwof0qouvbTrA0N8TVm2lY/OMdRN7L/7q8084RHVo5wrPS/6/37TT8uCkK12+lqdTr0dEZ/bu7ws7WBJH30rF0bQQuXnus6ZCkZ3bNG6Ly5BGwbuANU1dHnO09Fo92HCh4nxaNUGvBdFjUqorMh7G4/e1qRK36VaWOc8/2qDbnY5hVqYT021EIn7UIj/7ar89TKfUUHNOnFUlJ3+rVqzFmzBg8ePAA3t7eMDY2Vnm+bt26OgmuJNl7Kgzf/vwnpg99F/WqeWLbwZOY8M0q/P71dDg75D/O8Y9vAmFezlT52NbKQvn/0Gu30MGvAepW84Tc2Ajr/z6IcV+vwG9fTYOjnY0+T4cKaWDviujXww3zFofj3oN0DOnnjkVz6+K9D88gIyNX4z4+dWyw/2gsLl1LQVa2AgN7VcTCuXUx6KMziE/MyqvjbYNt/zzE9ZuPYWggw8jBnlg0ty7eH3sGTzMVGo9L+vdezwro29UFwd/fwv3opxj0rhu+nV0b7487h4ynmq9LfW9rHDgej8vXU5GVLfBeD1csmF0LQz8+r7zerZvZY9wwDyz68Q4uX3uMrh2c8PVntTDk4zDExme9zlMkAIbmZki9GI7767fB9/elr6xfzsMNjXauwr01v+P8kKmwbdoA3t/PRlZcImK27wUA2DSpD59fFuHG7O8Q89d+OHdvhwabFyOk1QAk/3dR36dEBEBi0hcXF4fbt29j2LBhyjKZTAYhBGQyGXJzNf+yK802/XsY3Vs1Ro/WTQAAkwf1RMil69h64ATG9Xsn3/3srCxhaV5O43NfjB2k8vizD/rh4H8X8N+Vm3inRSPdBU+S9elWARt+i8LRkHgAwLxF17FjY1O093fEX7ujNe4z91vV+1N/vfQGWjUrj4b1bLH70CMAwOQ5l1TqBC8Ox9+bmqK6lyUuXEnRw5lQYfR5xwUb/3iAY6cTAQDBS25i+0+N0K5leezc+0jjPl8svqny+Jvlt+HvZw/futbYczgOANC3qyt2HYjFP/tjAQBL10birfo26N7BGT9uitLjGZEmcXuOIm7P0ULXdx/VH0+jonF18pcAgLTrd2DtWweVA4Yrkz7P8UMQv/8kbs9fBQC4PX8V7Fq+BY/xQ3B+0GTdn0QZwTF92pE0e3f48OHw8fFBSEgI7ty5g4iICJV/y5rsnBxcj7iPJt6q3d1NvKvj4s3IAvcd+NkCdPhoFj78chnOXr1ZYN2nmVnIyVXA2sKsqCGTDrg6mcLBTo7/wpKUZdk5AucvJ8O7RuGXLZLLDWFkKENqWv73rTY3NwQApD7mva2Li4uTHPa2Jjh7PllZlp0jcOFKKryrWxb6OHITg7zr/TgHAGBkJEO1KhY4cyFZpd6Z88nwrlH441LxsWlSH3H7T6iUxe09Bmtfb8iM8tpWbJvUR/z+4yp14vcdg60fb11Kr4+klr67d+9ix44d8PLykvSimZmZyMzMVCmTy+WSjvUmSH78BLkKBeysVb+g7awtEZ+cqnEfBxsrzBjRFzU93JCVk4tdx8/iw+DlWDnjIzTIZxzg0i1/o7ytNd6qXU3n50Das7M1AQAkJqt2vyUlZ8HJ0VTTLhp9OMQTcQlZOHs+Kd8640dUwYUrKQWOFST9srMp4HqXL/z31+hB7ohLzELoxWQAgLWlEYwMZUhMVk3ok1Kyla9Jbza5kwMyH8WrlGXFJsDA2BgmDrbIjImD3NkBmY8SVOpkPkqA3Ln86wy11OE6fdqRlPS1adMGFy5ckJz0BQcHIygoSKVs9uzZmNzlLUnHe1O8vHSN0FD2jIerIzxcHZWP61b1wKPEJGz855DGpG/93wewJyQMK2d8BLmJsdrzpH9v+zti6kfPE+5P5v6/C/bl7xyZTL0sHwN6VUS7lo4Y/+kFZGVr3ilgjBeqeFhg7LQwCVGTVO1aOmDy6OefxenzrgHQdLllhb3ceK+HK9o2d8DHs66oX28N3VTsuipBXr5Wz777XyzXVIfXuEiY9GlHUtLXtWtXTJo0CZcuXUKdOnXUJnJ069atwP0DAwMREBCgUiaXy5F1seDZUW8qG0tzGBoYIOGlVr2klMewty5894y3lwf+PXFWrXzjP4fw0479WDb9Q1St5FrkeEma4/8l4OqN59fHxDhvdISdrQkSkp63/thaG6u1BmnyXk83DOpTCRNnXsDtyCca60wc5YVmb9ljXOAFxCVwQP/rdOK/RFy78XyGrbFx3i9xexsTJCY9b5WzsTZGUvKru937dXfFwN5umDznCu7cfd5im/I4Bzm5Qtly/IyttTGSUtidXxJkPopXa7EzKW8HRXY2shKS8+rExEPu7KBSR+5op9ZCSKRPkpK+MWPGAADmzp2r9lxhJnLI5XKN3bkl9VeasZERani64fTlG2jd6PnM5dOXb8Df17vQxwmPvA8HG9WxYBv+Pog1f+3D0mmjUatyJZ3FTNrLyMjFg5dm5MYnZqJRfVvcvJOXHBgZyVDf2wYr1hc8tvW9nm4Y0s8dk2dfRPhLS3c8M2m0F1r6OWB84AVEP3qqm5OgQst4qsCDGNX3PSEpCw3rWeNmRF6SbmQkQ73aVli58W6Bx+rf3RWD3nXD1M+vIvy2aoKfkyNw43YaGtazUU4QAYCG9Wxw/L/Elw9Fb6DkU+fh2KW1Sln5t5sjJfQyRE7e2M2kU+fh0LYZIr5br6zj0K45kkLYgl8UCraUakVS0vfyvXYJGNipFWYt34SalSuirpcHth06iZiEJPRu2xRA3ni82KQUzB2TdzeTX3YfgauDHSq7OSM7Jwf/ngjFwTMXMf/j5zOi1/99ACu2/osvxg6Ci4OdcnygmakcZqYldwxkafL7jgcY1KcS7j9Mx72HGRjctxIyM3Ox90isss5nk6ojLiELKzdEAMjr0v3gfQ8ELbiG6EdPYWeT11Ke8TRXuezH5A+90K6lEwLnXUZ6Ro6yTlp6LrKy+PkrLr//HY2Bvd1wP/op7kc/xfu9KiAzU4H9R+OUdT6d4IW4hCzlrNv3erhi+HuV8PmiG4iJzdR4vX/b+RAzJlRF+K00XAl/jHfaO8HRQY4d+cwIJv0yNDeDudfzP7LNPN1gVa8GshJT8PReNKp/EQDTCk64MGwaAODuql/hPnYgan4zHffW/AabJj6oOKw3wt5/Pis3cukGNDn4MypPGYlHOw/AqWtbOLT1Q0irAa/9/KjskpT0kbr2TXyQ8vgJVm/fg/jkVFRxc8F3U0fBxcEOABCfnIqY+BdneeZg8S87EJeUArmJMSpXcMLiKSPRvH4tZZ2t+08gOycX05asU3mtkT07YHTvjq/lvKhgm/64B7mJAQI+rApLC2NcvZGKSbMuqqzR51TeFC8OO+nZ2RUmxgaYF1hb5Vhrf4nE2s13/1+nAgBgaXB9lTrzFl/HvweYCBSXzdsfQG5igEmjKsPC3AjXbj7GlLlXVdboc3SQ48W/i7t3dIaJsQE+/6SGyrF+2nIP67bcAwAcOpEAa0tjDO7rBntbE0REpWPavGt4FKc64Y1eD2tfb/gd2Kh8XGvBpwCAexu24eKIQMhdyqNcRRfl8xmR93Gm6yjU+jYQ7h8ORObDWFyZNE+5XAsAJIWEIWxgAKoHTUT1oAlIv30PYQMmcY2+IuKYPu3IRCFHCi9ZsgSjRo2CqakplixZUmDdCRMmSArm8ZldkvajkseyUWc073qkuMOg1+T4Tn/49zpZ3GHQa3JkW1P8Y8w7NpUVXbLDi+21h8yK0dux18911tuxi0uhW/oWLVqEgQMHwtTUFIsWLcq3nkwmk5z0ERERERUWZ7hrp9BJX0REhMb/ExEREdGbT9IdOebOnYv0dPVFYjMyMjTO6CUiIiLSNYVC6G0rjSQlfUFBQUhLU19mIj09XW3RZSIiIiJ9EAqht600kpT0CSE03mniwoULsLOzK3JQRERERKRbWi3ZYmtrC5lMBplMhmrVqqkkfrm5uUhLS1Mu3ExERESkT5zIoR2tkr7FixdDCIHhw4cjKCgI1tbWyudMTEzg4eEBPz8/nQdJREREREWjVdI3ZMgQAICnpyeaNm2qds9dIiIiotdF8A5hWpF0Rw5/f38oFArcuHEDsbGxardla9mypU6CIyIiIiLdkJT0nTp1CgMGDMDdu3fV+tNlMhlyc3Pz2ZOIiIhIN0rr0ir6IinpGzNmDBo2bIh//vkHLi4uGmfyEhEREdGbQ1LSd/PmTWzduhVeXl66joeIiIioUDh7VzuS1ulr3Lgxbt26petYiIiIiAqNizNrR1JL3/jx4zF58mTExMSgTp06arN469atq5PgiIiIiEg3JCV9vXv3BgAMHz5cWSaTyZR36uBEDiIiItK30toipy+Skr6IiAhdx0FEREREeiQp6XN3d9d1HERERERaUQguzqwNSRM5AGDjxo1o1qwZXF1dcffuXQB5t2n766+/dBYcEREREemGpKRv+fLlCAgIQOfOnZGcnKwcw2djY4PFixfrMj4iIiIijTh7VzuSkr7vv/8eP/74I2bMmAFDQ0NlecOGDXHp0iWdBUdEREREuiF5IoePj49auVwux5MnT4ocFBEREdGrlNYWOX2R1NLn6emJ8+fPq5X/+++/qFWrVlFjIiIiInolIYTettJIUkvf1KlT8dFHH+Hp06cQQuC///7D5s2bERwcjNWrV+s6RiIiIiIqIklJ37Bhw5CTk4NPPvkE6enpGDBgANzc3PDdd9+hf//+uo6RiIiISI1CwSVbtCEp6cvIyMDAgQMxcuRIxMfH486dOzhx4gTc3Nx0HR8RERER6YCkMX3du3fHhg0bAABGRkbo1q0bFi5ciB49emD58uU6DZCIiIhIEy7Zoh1JSd+5c+fQokULAMDWrVvh5OSEu3fvYsOGDViyZIlOAyQiIiKiopPUvZueng5LS0sAwN69e9GrVy8YGBigSZMmyrtzEBEREemT4G3YtCKppc/Lywt//vkn7t27hz179qB9+/YAgNjYWFhZWek0QCIiIiIqOklJ36xZszBlyhR4eHigcePG8PPzA5DX6qdp0WYiIiIiXeOYPu1I6t5999130bx5c0RHR6NevXrK8rZt26Jnz546C46IiIgoP6U1OdMXSUkfADg7O8PZ2Vml7K233ipyQERERESke5KTPiIiIqLipOBEDq1IGtNHRERERCULW/qIiIioROKYPu2wpY+IiIioDGBLHxEREZVIQsExfdpgSx8RERFRGcCWPiIiIiqROKZPO2zpIyIiIioD2NJHREREJZLgOn1aYdJHREREJZKC3btaYfcuERER0WuSlJSEQYMGwdraGtbW1hg0aBCSk5PzrZ+dnY1p06ahTp06MDc3h6urKwYPHoyHDx9q/dpM+oiIiKhEEgqF3jZ9GTBgAM6fP4/du3dj9+7dOH/+PAYNGpRv/fT0dJw7dw4zZ87EuXPnsG3bNty4cQPdunXT+rXZvUtERET0Gly7dg27d+/GqVOn0LhxYwDAjz/+CD8/P4SHh6N69epq+1hbW2Pfvn0qZd9//z3eeustREVFoVKlSoV+fSZ9REREVCLpc8mWzMxMZGZmqpTJ5XLI5XLJxwwJCYG1tbUy4QOAJk2awNraGidPntSY9GmSkpICmUwGGxsbrV6f3btERERELwkODlaOu3u2BQcHF+mYMTExcHR0VCt3dHRETExMoY7x9OlTTJ8+HQMGDICVlZVWr8+kj4iIiEokIRR62wIDA5GSkqKyBQYGaoxjzpw5kMlkBW5nz54FAMhkMg3nITSWvyw7Oxv9+/eHQqHAsmXLtH6/2L1LRERE9BJtunLHjRuH/v37F1jHw8MDFy9exKNHj9Sei4uLg5OTU4H7Z2dno2/fvoiIiMDBgwe1buUDmPQRERFRCfWm3IbNwcEBDg4Or6zn5+eHlJQU/Pfff3jrrbcAAKdPn0ZKSgqaNm2a737PEr6bN2/i0KFDsLe3lxQnu3eJiIioRCppS7bUrFkTHTt2xMiRI3Hq1CmcOnUKI0eOxDvvvKMyiaNGjRrYvn07ACAnJwfvvvsuzp49i02bNiE3NxcxMTGIiYlBVlaWVq/PpI+IiIjoNdm0aRPq1KmD9u3bo3379qhbty42btyoUic8PBwpKSkAgPv372PHjh24f/8+6tevDxcXF+V28uRJrV5bJoR4M9pGy6DMzEwEBwcjMDCwSFPAqWTg9S5beL3LFl5vKgmY9BWj1NRUWFtbIyUlRdKATCpZeL3LFl7vsoXXm0oCdu8SERERlQFM+oiIiIjKACZ9RERERGUAk75iJJfLMXv2bA76LSN4vcsWXu+yhdebSgJO5CAiIiIqA9jSR0RERFQGMOkjIiIiKgOY9BERERGVAUz6SgEPDw8sXry4uMMoklatWmHixImS958zZw7q16+v1T5CCIwaNQp2dnaQyWQ4f/58ofaTyWT4888/tY6xpCvqNXpTSPlZ0ZU36T08fPgwZDIZkpOTizuUEqs0fPdS2cKk7/+GDh2KHj16FHcYBVq3bh1sbGzUys+cOYNRo0a9/oBKuN27d2PdunX4+++/ER0dDW9v7+IO6Y2QXzKwbds2fP7558UTlA5NmTIFBw4cKO4wXqs3Kdksid70714m8FRYRsUdQGmTnZ0NY2NjrfbJysqCiYmJ5NcsX7685H3Lstu3b8PFxQVNmzYt7lBei6L+nNnZ2ekwGmmKeg4AYGFhAQsLCx1FRGUZv3uppClzLX1bt25FnTp1UK5cOdjb26Ndu3aYOnUq1q9fj7/++gsymQwymQyHDx8GAEybNg3VqlWDmZkZKleujJkzZyI7O1t5vGddRWvXrkXlypUhl8vxqlVwWrVqhXHjxiEgIAAODg54++23AQALFy5EnTp1YG5ujooVK2Ls2LFIS0sDkPeX3LBhw5CSkqKMcc6cOQDUuxhkMhlWr16Nnj17wszMDFWrVsWOHTtUYtixYweqVq2KcuXKoXXr1li/fn2x/6WoUCjwySefwM7ODs7OzsrzA4CUlBSMGjUKjo6OsLKyQps2bXDhwoV8j/Ws5TYoKEi5z+jRo5GVlaV8fvz48YiKioJMJoOHhwcAzd019evXV4nlRZGRkZDJZNi2bRtat24NMzMz1KtXDyEhISr1Tp48iZYtW6JcuXKoWLEiJkyYgCdPniifX7ZsGapWrQpTU1M4OTnh3XffVT6n6Wf2xX1f9R4EBwfD1dUV1apVAwD8/PPPaNiwISwtLeHs7IwBAwYgNjZWeT6tW7cGANja2kImk2Ho0KEA1FuLkpKSMHjwYNja2sLMzAydOnXCzZs3XxmXNjR9Vq5evYrOnTvDwsICTk5OGDRoEOLj4wEAK1euRIUKFaBQKFSO061bNwwZMgSA5u7dn376CTVr1oSpqSlq1KiBZcuWKZ/r3bs3xo8fr3w8ceJEyGQyXLlyBQCQk5MDS0tL7NmzR+vzy8rKwieffIIKFSrA3NwcjRs3Vn73AM9bmPbs2YOaNWvCwsICHTt2RHR0tLJOTk4OJkyYABsbG9jb22PatGkYMmSIsudi6NChOHLkCL777jvld0dkZKRy/9DQUDRs2BBmZmZo2rQpwsPDtT6PN0FBn5OCru+rPsPafveuXLkS77zzDszMzFCzZk2EhITg1q1baNWqFczNzeHn54fbt2+rxL5z5074+vrC1NQUlStXRlBQEHJyclSOm993ekGfWSI1ogx5+PChMDIyEgsXLhQRERHi4sWL4ocffhCPHz8Wffv2FR07dhTR0dEiOjpaZGZmCiGE+Pzzz8WJEydERESE2LFjh3BychJff/218pizZ88W5ubmokOHDuLcuXPiwoULQqFQFBiHv7+/sLCwEFOnThXXr18X165dE0IIsWjRInHw4EFx584dceDAAVG9enXx4YcfCiGEyMzMFIsXLxZWVlbKGB8/fiyEEMLd3V0sWrRIeXwAws3NTfzyyy/i5s2bYsKECcLCwkIkJCQIIYSIiIgQxsbGYsqUKeL69eti8+bNokKFCgKASEpK0tXbrRV/f39hZWUl5syZI27cuCHWr18vZDKZ2Lt3r1AoFKJZs2aia9eu4syZM+LGjRti8uTJwt7eXnlOs2fPFvXq1VMeb8iQIcLCwkL069dPXL58Wfz999+ifPny4tNPPxVCCJGcnCzmzp0r3NzcRHR0tIiNjRVCqL+XQghRr149MXv2bOVjAGL79u1CiLz3EoCoUaOG+Pvvv0V4eLh49913hbu7u8jOzhZCCHHx4kVhYWEhFi1aJG7cuCFOnDghfHx8xNChQ4UQQpw5c0YYGhqKX375RURGRopz586J7777TghR8M/sqzx7DwYNGiQuX74sLl26JIQQYs2aNWLXrl3i9u3bIiQkRDRp0kR06tRJCCFETk6O+OOPPwQAER4eLqKjo0VycrLyGn388cfK43fr1k3UrFlTHD16VJw/f1506NBBeHl5iaysrFfGVlgvf1ZOnjwpHBwcRGBgoLh27Zo4d+6cePvtt0Xr1q2FEEIkJCQIExMTsX//fuUxEhMThYmJidizZ48QQv1nZdWqVcLFxUX88ccf4s6dO+KPP/4QdnZ2Yt26dUIIIZYsWSK8vb2V9evXry8cHBzEDz/8IIQQ4uTJk8LIyKhQ1+Tl93DAgAGiadOm4ujRo+LWrVvim2++EXK5XNy4cUMIIcRPP/0kjI2NRbt27cSZM2dEaGioqFmzphgwYIDyGF988YWws7MT27ZtE9euXRNjxowRVlZWonv37kKIvJ91Pz8/MXLkSOV3R05Ojjh06JAAIBo3biwOHz4srly5Ilq0aCGaNm2qxRV6MxT0OXnV9X3VZ1jb794KFSqILVu2iPDwcNGjRw/h4eEh2rRpI3bv3i2uXr0qmjRpIjp27KjcZ/fu3cLKykqsW7dO3L59W+zdu1d4eHiIOXPmqBw3v+/0gj6zRC8rU0lfaGioACAiIyPVnhsyZIjyS7Ig8+fPF76+vsrHs2fPFsbGxsqkoTD8/f1F/fr1X1nvt99+E/b29srHP/30k7C2tlarp+mL57PPPlM+TktLEzKZTPz7779CCCGmTZum8ktMCCFmzJhR7Elf8+bNVcoaNWokpk2bJg4cOCCsrKzE06dPVZ6vUqWKWLlypRBCc9JnZ2cnnjx5oixbvny5sLCwELm5uUKIvCTb3d1d5ZhSk77Vq1crn79y5YoAoEzmBw0aJEaNGqVyzGPHjgkDAwORkZEh/vjjD2FlZSVSU1PV3peCfmZfZciQIcLJyUn5B0x+/vvvPwFA+YvsWTLw8s/CiwnLjRs3BABx4sQJ5fPx8fGiXLly4rffftM61vy8/FmZOXOmaN++vUqde/fuKX/hCZGXjA4fPlz5/MqVK4Wzs7PIyckRQqj/rFSsWFH88ssvKsf8/PPPhZ+fnxAiL2mXyWQiLi5OJCYmCmNjY/HFF1+IPn36CCGE+PLLL0Xjxo0LfT7P3sNbt24JmUwmHjx4oFKnbdu2IjAwUAiR95kHIG7duqV8/ocffhBOTk7Kx05OTuKbb75RPs7JyRGVKlVS+T57OdkU4vl1fjFB/ueffwQAkZGRUajzeVMU9Dl51fUtzGdY6ndvSEiIACDWrFmjLNu8ebMwNTVVPm7RooX48ssvVY67ceNG4eLiku9xX/5Oz+8zS/SyMjWmr169emjbti3q1KmDDh06oH379nj33Xdha2ub7z5bt27F4sWLcevWLaSlpSEnJwdWVlYqddzd3bUe29GwYUO1skOHDuHLL7/E1atXkZqaipycHDx9+hRPnjyBubm5VsevW7eu8v/m5uawtLRUduGFh4ejUaNGKvXfeustrY6vDy/GDAAuLi6IjY1FaGgo0tLSYG9vr/J8RkaGWjfJi+rVqwczMzPlYz8/P6SlpeHevXtwd3fXW+wuLi4AgNjYWNSoUQOhoaG4desWNm3apKwjhIBCoUBERATefvttuLu7o3LlyujYsSM6duyo7MaR8jP7ojp16qiNgQsLC8OcOXNw/vx5JCYmKrtCo6KiUKtWrUId99q1azAyMkLjxo2VZfb29qhevTquXbtWqGMU1oufldDQUBw6dEjjmLzbt2+jWrVqGDhwIEaNGoVly5ZBLpdj06ZN6N+/PwwNDdX2iYuLw7179zBixAiMHDlSWZ6TkwNra2sAgLe3N+zt7XHkyBEYGxujXr166NatG5YsWQIgr/vP399f6/M6d+4chBDKbvdnMjMzVX7WzczMUKVKFeXjZ58LIG/Yw6NHj1Q+v4aGhvD19VXr4s5Pfj+7lSpV0vqcikt+n5OcnJxXXt9nCvoMa+PF4zg5OQHI+xy+WPb06VOkpqbCysoKoaGhOHPmDObNm6esk5ubi6dPnyI9PV35HVbQdzpRYZWppM/Q0BD79u3DyZMnsXfvXnz//feYMWMGTp8+rbH+qVOn0L9/fwQFBaFDhw6wtrbGr7/+im+//ValnrYJmaZ97t69i86dO2PMmDH4/PPPYWdnh+PHj2PEiBEqYwgL6+XJJDKZTPlLQAgBmUym8rx4A+7Gl1/MCoUCLi4uKmOdntE0o+5VXj73FxkYGKi9F4V5/1+M/dnxn73fCoUCo0ePxoQJE9T2q1SpEkxMTHDu3DkcPnwYe/fuxaxZszBnzhycOXMGNjY2+f7Menp6vjKul3/Onjx5gvbt26N9+/b4+eefUb58eURFRaFDhw7K8Y6Fkd/Pi6afraJ68RwUCgW6du2Kr7/+Wq3es1/UXbt2hUKhwD///INGjRrh2LFjWLhwocZjP7tGP/74o0oCC0CZJMpkMrRs2RKHDx+GiYkJWrVqBW9vb+Tm5uLSpUs4efKkpJmxCoUChoaGCA0NVUtIX0xqNX0uXn7/i/J5Luhnt6TI77t9586dAAq+vs/o6n3QdJxXfT8EBQWhV69eascyNTXVeNxnxylp14mKX5lK+oC8D0qzZs3QrFkzzJo1C+7u7ti+fTtMTEyQm5urUvfEiRNwd3fHjBkzlGV3797VS1xnz55FTk4Ovv32WxgY5M2v+e2331TqaIpRiho1amDXrl1qr/+matCgAWJiYmBkZKSccFEYFy5cQEZGBsqVKwcgL4m3sLCAm5tbvvuUL19eZZB8amoqIiIiJMcO5MV/5coVeHl55VvHyMgI7dq1Q7t27TB79mzY2Njg4MGD6NWrV74/swEBAVrHcv36dcTHx+Orr75CxYoVAahf+2ctgwX9rNWqVQs5OTk4ffq0cvZzQkICbty4gZo1a2odV2E1aNAAf/zxBzw8PGBkpPnrq1y5cujVqxc2bdqEW7duoVq1avD19dVY18nJCRUqVMCdO3cwcODAfF+3VatWWLVqFUxMTDB37lzIZDK0aNECCxYsQEZGBpo1a6b1ufj4+CA3NxexsbFo0aKF1vsDgLW1NZycnPDff/8pj5Gbm4uwsDCVySq6+u54k2n6nJw4caJQ1/dV9Pn+NWjQAOHh4QV+P7xKYT6zREAZm717+vRpfPnllzh79iyioqKwbds2xMXFoWbNmvDw8MDFixcRHh6O+Ph4ZGdnw8vLC1FRUfj1119x+/ZtLFmyBNu3b9dLbFWqVEFOTg6+//573LlzBxs3bsSKFStU6nh4eCAtLQ0HDhxAfHw80tPTJb3W6NGjcf36dUybNg03btzAb7/9hnXr1gEouBWsuLRr1w5+fn7o0aMH9uzZg8jISJw8eRKfffZZgclqVlYWRowYgatXr+Lff//F7NmzMW7cOGVSrUmbNm2wceNGHDt2DJcvX8aQIUM0dgtqY9q0aQgJCcFHH32E8+fP4+bNm9ixY4dyRujff/+NJUuW4Pz587h79y42bNgAhUKB6tWrF/gzK8WzlsVnP2c7duxQW3vP3d0dMpkMf//9N+Li4pQzyF9UtWpVdO/eHSNHjsTx48dx4cIFvP/++6hQoQK6d+8uKbbC+Oijj5CYmIj33nsP//33H+7cuYO9e/di+PDhKr/wBg4ciH/++Qdr167F+++/X+Ax58yZg+DgYHz33Xe4ceMGLl26hJ9++kmldbBVq1a4cuUKLl26pEyuWrVqhU2bNqFBgwZqQz4K41lX9ODBg7Ft2zZERETgzJkz+Prrr9X+KCvI+PHjERwcjL/++gvh4eH4+OOPkZSUpPJZ9vDwwOnTpxEZGYn4+PhS10JU0OekMNf3VXT13avJrFmzsGHDBsyZMwdXrlzBtWvXsGXLFnz22WeFPkZhPrNEQBlL+qysrHD06FF07twZ1apVw2effYZvv/0WnTp1wsiRI1G9enU0bNgQ5cuXx4kTJ9C9e3dMmjQJ48aNQ/369XHy5EnMnDlTL7HVr18fCxcuxNdffw1vb29s2rQJwcHBKnWaNm2KMWPGoF+/fihfvjzmz58v6bU8PT2xdetWbNu2DXXr1sXy5cuVrZlyubzI56JrMpkMu3btQsuWLTF8+HBUq1YN/fv3R2RkpHLMjCZt27ZF1apV0bJlS/Tt2xddu3bNd+mVZwIDA9GyZUu888476Ny5M3r06KEynkqKunXr4siRI7h58yZatGgBHx8fzJw5U9kdaWNjg23btqFNmzaoWbMmVqxYgc2bN6N27doF/sxKUb58eaxbtw6///47atWqha+++goLFixQqVOhQgUEBQVh+vTpcHJywrhx4zQe66effoKvry/eeecd+Pn5QQiBXbt2ab1OpTZcXV1x4sQJ5ObmokOHDvD29sbHH38Ma2trlWS+TZs2sLOzQ3h4OAYMGFDgMT/44AOsXr0a69atQ506deDv749169apdJ97e3vDwcEB9erVUyZ4/v7+yM3NlTSe75mffvoJgwcPxuTJk1G9enV069YNp0+fVrbCFsa0adPw3nvvYfDgwfDz84OFhQU6dOig0jU4ZcoUGBoaolatWsou/dKkoM9JYa7vq+jqu1eTDh064O+//8a+ffvQqFEjNGnSBAsXLtRq3HFhP7NEMvEmDOaiYjdv3jysWLEC9+7dK+5QdGLo0KFITk4uk7dLo7JNoVCgZs2a6Nu3b6m4gwoR6U6ZG9NHeZYtW4ZGjRrB3t4eJ06cwDfffMO/DolKoLt372Lv3r3w9/dHZmYmli5dioiIiFe2cBJR2cOkT8detezF1atX34ilEG7evIkvvvgCiYmJqFSpEiZPnozAwMDiDou0UNCtxP79X3t3c8JACIVRVGxjWrA8C7KL2ViKpQhmF0hgAhnyyztn61q4IB/u++lxAOd86+7nnFNrLdVa01orlVJS7/2tgxrgP3nefbE5580XR/cerQ7hGWOMw7Nt266rZT7D3Qd+negDAAgg1HoXACAq0QcAEIDoAwAIQPQBAAQg+gAAAhB9AAABiD4AgABEHwBAABfsTOdJ2DhfhgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate review length\n",
    "data['review_length'] = data['review_body'].apply(len)\n",
    "\n",
    "# Sentiment analysis: Calculate polarity of reviews\n",
    "data['sentiment'] = data['review_body'].apply(lambda x: TextBlob(x).sentiment.polarity)\n",
    "\n",
    "# Correlation Matrix\n",
    "correlation_matrix = data[['star_rating', 'helpfulness_ratio', 'review_length', 'sentiment']].corr()\n",
    "\n",
    "# Plotting Correlation Matrix\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=.5)\n",
    "plt.title('Correlation Matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion and Recommendations\n",
    "The analysis reveals several key insights:\n",
    "- **Star Ratings** have a bimodal distribution, with high volumes of very positive and very negative reviews.\n",
    "- **Helpfulness Ratio** shows that many reviews are not voted on, but reviews with high ratios tend to be more impactful.\n",
    "- **Sentiment Analysis** shows a moderate positive correlation with star ratings, suggesting that more positive reviews correlate with higher ratings.\n",
    "- **Review Length** has a weak correlation with helpfulness, indicating that length alone does not determine review utility.\n",
    "\n",
    "### Recommendations for Sunshine Company\n",
    "- Encourage customers to leave detailed and positive reviews, as these influence potential buyers and enhance product visibility.\n",
    "- Address negative feedback constructively to improve product ratings and customer satisfaction.\n",
    "- Focus on quality and accurate product descriptions to ensure customer expectations are met, thereby influencing review positivity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.100000    534\n",
       " 1.000000    449\n",
       " 0.000000    126\n",
       " 0.500000     92\n",
       " 0.666667     66\n",
       "            ... \n",
       " 0.946667      1\n",
       " 0.222222      1\n",
       " 0.870968      1\n",
       " 0.090909      1\n",
       " 0.903704      1\n",
       "Name: helpfulness_ratio, Length: 130, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['helpfulness_ratio'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>marketplace</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>review_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>product_parent</th>\n",
       "      <th>product_title</th>\n",
       "      <th>product_category</th>\n",
       "      <th>star_rating</th>\n",
       "      <th>helpful_votes</th>\n",
       "      <th>total_votes</th>\n",
       "      <th>vine</th>\n",
       "      <th>verified_purchase</th>\n",
       "      <th>review_headline</th>\n",
       "      <th>review_body</th>\n",
       "      <th>review_date</th>\n",
       "      <th>helpfulness_ratio</th>\n",
       "      <th>review_length</th>\n",
       "      <th>sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>US</td>\n",
       "      <td>21879631</td>\n",
       "      <td>RY52KZABZK8QF</td>\n",
       "      <td>B0052G14E8</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Do not recommend it. go use your money for som...</td>\n",
       "      <td>3 of the buttons stopped working after a month...</td>\n",
       "      <td>8/31/2015</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>192</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>US</td>\n",
       "      <td>14964566</td>\n",
       "      <td>R3GCOEV4HYZG2I</td>\n",
       "      <td>B0055UBB4O</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Looks as good as the picture</td>\n",
       "      <td>Didn't use it long so I can't attest to that b...</td>\n",
       "      <td>8/31/2015</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>334</td>\n",
       "      <td>0.078667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US</td>\n",
       "      <td>13230389</td>\n",
       "      <td>R1V2OPPNL0QGCE</td>\n",
       "      <td>B0052G14E8</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Four Stars</td>\n",
       "      <td>Very nice microwave, great price</td>\n",
       "      <td>8/31/2015</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>32</td>\n",
       "      <td>0.790000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>US</td>\n",
       "      <td>43655888</td>\n",
       "      <td>R9Q0QDTLKV567</td>\n",
       "      <td>B004ZU09QQ</td>\n",
       "      <td>423421857</td>\n",
       "      <td>danby 0.7 cu.ft. countertop microwave</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>quiet</td>\n",
       "      <td>Quiet, but does not seem like 1000 watt power.</td>\n",
       "      <td>8/31/2015</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>US</td>\n",
       "      <td>117794</td>\n",
       "      <td>R3DL7HYC3QTWNI</td>\n",
       "      <td>B005GSZB7I</td>\n",
       "      <td>827502283</td>\n",
       "      <td>whirlpool stainless look countertop microwave,...</td>\n",
       "      <td>Major Appliances</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>Four Stars</td>\n",
       "      <td>It's bigger than I thought.</td>\n",
       "      <td>8/31/2015</td>\n",
       "      <td>-0.1</td>\n",
       "      <td>27</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  marketplace  customer_id       review_id  product_id  product_parent  \\\n",
       "0          US     21879631   RY52KZABZK8QF  B0052G14E8       423421857   \n",
       "1          US     14964566  R3GCOEV4HYZG2I  B0055UBB4O       423421857   \n",
       "2          US     13230389  R1V2OPPNL0QGCE  B0052G14E8       423421857   \n",
       "3          US     43655888   R9Q0QDTLKV567  B004ZU09QQ       423421857   \n",
       "4          US       117794  R3DL7HYC3QTWNI  B005GSZB7I       827502283   \n",
       "\n",
       "                                       product_title  product_category  \\\n",
       "0              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "1              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "2              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "3              danby 0.7 cu.ft. countertop microwave  Major Appliances   \n",
       "4  whirlpool stainless look countertop microwave,...  Major Appliances   \n",
       "\n",
       "   star_rating  helpful_votes  total_votes vine verified_purchase  \\\n",
       "0            1              0            0    N                 Y   \n",
       "1            5              0            0    N                 Y   \n",
       "2            4              0            0    N                 Y   \n",
       "3            3              0            1    N                 Y   \n",
       "4            4              0            0    N                 Y   \n",
       "\n",
       "                                     review_headline  \\\n",
       "0  Do not recommend it. go use your money for som...   \n",
       "1                       Looks as good as the picture   \n",
       "2                                         Four Stars   \n",
       "3                                              quiet   \n",
       "4                                         Four Stars   \n",
       "\n",
       "                                         review_body review_date  \\\n",
       "0  3 of the buttons stopped working after a month...   8/31/2015   \n",
       "1  Didn't use it long so I can't attest to that b...   8/31/2015   \n",
       "2                   Very nice microwave, great price   8/31/2015   \n",
       "3     Quiet, but does not seem like 1000 watt power.   8/31/2015   \n",
       "4                        It's bigger than I thought.   8/31/2015   \n",
       "\n",
       "   helpfulness_ratio  review_length  sentiment  \n",
       "0               -0.1            192   0.100000  \n",
       "1               -0.1            334   0.078667  \n",
       "2               -0.1             32   0.790000  \n",
       "3                0.0             46   0.000000  \n",
       "4               -0.1             27   0.000000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}