sampling.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dec23cc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy.stats import skew"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3bec1452",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        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>business_id</th>\n",
       "      <th>name</th>\n",
       "      <th>address</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>stars_x</th>\n",
       "      <th>review_count</th>\n",
       "      <th>...</th>\n",
       "      <th>categories</th>\n",
       "      <th>hours</th>\n",
       "      <th>review_id</th>\n",
       "      <th>user_id</th>\n",
       "      <th>stars_y</th>\n",
       "      <th>useful</th>\n",
       "      <th>funny</th>\n",
       "      <th>cool</th>\n",
       "      <th>text</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>American (Traditional), Restaurants, Diners, B...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>YByDh56Hl11HoYdBm-uArA</td>\n",
       "      <td>9hhRs_n85m-jsKOXp3jt7Q</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Went there at 4am and there was only one waitr...</td>\n",
       "      <td>2016-05-08 08:49:25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>American (Traditional), Restaurants, Diners, B...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>3vwdkRRoUe4PewzD8HvQbQ</td>\n",
       "      <td>-BX5x3Ys-2JzFba3LiWlHA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>I had an immensely frustrating experience here...</td>\n",
       "      <td>2017-08-30 10:52:52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>American (Traditional), Restaurants, Diners, B...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>LX2or1ZvpaO8x9Xb8UxF5Q</td>\n",
       "      <td>tftplxTcJYHU8nrwCwtzFg</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Food was decent, staff were accommodating. Res...</td>\n",
       "      <td>2015-03-21 14:00:29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>American (Traditional), Restaurants, Diners, B...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>LWQJo1dFvAgJQF_dxN6JCA</td>\n",
       "      <td>G_eZLhf1Kw5WBpMlXHizNQ</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>The staff here was great. We had a bunch of pe...</td>\n",
       "      <td>2014-03-16 13:59:31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>American (Traditional), Restaurants, Diners, B...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>yQJXhZIF6_VMC5gY7gBDAw</td>\n",
       "      <td>iYpCMhEqsped1647fF_u-A</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Food was awful!  Hamburger was burnt and cold....</td>\n",
       "      <td>2018-08-12 15:32:47</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              business_id     name       address          city state  \\\n",
       "0  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "1  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "2  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "3  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "4  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "\n",
       "  postal_code   latitude  longitude  stars_x  review_count  ...  \\\n",
       "0       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "1       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "2       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "3       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "4       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "\n",
       "                                          categories  \\\n",
       "0  American (Traditional), Restaurants, Diners, B...   \n",
       "1  American (Traditional), Restaurants, Diners, B...   \n",
       "2  American (Traditional), Restaurants, Diners, B...   \n",
       "3  American (Traditional), Restaurants, Diners, B...   \n",
       "4  American (Traditional), Restaurants, Diners, B...   \n",
       "\n",
       "                                               hours               review_id  \\\n",
       "0  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  YByDh56Hl11HoYdBm-uArA   \n",
       "1  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  3vwdkRRoUe4PewzD8HvQbQ   \n",
       "2  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  LX2or1ZvpaO8x9Xb8UxF5Q   \n",
       "3  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  LWQJo1dFvAgJQF_dxN6JCA   \n",
       "4  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  yQJXhZIF6_VMC5gY7gBDAw   \n",
       "\n",
       "                  user_id stars_y useful  funny  cool  \\\n",
       "0  9hhRs_n85m-jsKOXp3jt7Q     1.0    0.0    0.0   0.0   \n",
       "1  -BX5x3Ys-2JzFba3LiWlHA     1.0    0.0    0.0   0.0   \n",
       "2  tftplxTcJYHU8nrwCwtzFg     2.0    1.0    0.0   0.0   \n",
       "3  G_eZLhf1Kw5WBpMlXHizNQ     4.0    0.0    0.0   0.0   \n",
       "4  iYpCMhEqsped1647fF_u-A     1.0    0.0    0.0   0.0   \n",
       "\n",
       "                                                text                 date  \n",
       "0  Went there at 4am and there was only one waitr...  2016-05-08 08:49:25  \n",
       "1  I had an immensely frustrating experience here...  2017-08-30 10:52:52  \n",
       "2  Food was decent, staff were accommodating. Res...  2015-03-21 14:00:29  \n",
       "3  The staff here was great. We had a bunch of pe...  2014-03-16 13:59:31  \n",
       "4  Food was awful!  Hamburger was burnt and cold....  2018-08-12 15:32:47  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews = pd.read_csv('final_dataset.csv')\n",
    "reviews.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "18a2921a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews['stars_y'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "58cd6c2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "reviews = reviews.dropna(subset=['stars_y'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "693f5984",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1142192, 22)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ba2410be",
   "metadata": {},
   "outputs": [],
   "source": [
    "reviews['word_count'] = reviews['text'].apply(lambda x: len(str(x).split()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b319e9b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>business_id</th>\n",
       "      <th>name</th>\n",
       "      <th>address</th>\n",
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       "      <th>text</th>\n",
       "      <th>date</th>\n",
       "      <th>word_count</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>Went there at 4am and there was only one waitr...</td>\n",
       "      <td>2016-05-08 08:49:25</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
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       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
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       "      <td>-BX5x3Ys-2JzFba3LiWlHA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>I had an immensely frustrating experience here...</td>\n",
       "      <td>2017-08-30 10:52:52</td>\n",
       "      <td>186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>LX2or1ZvpaO8x9Xb8UxF5Q</td>\n",
       "      <td>tftplxTcJYHU8nrwCwtzFg</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Food was decent, staff were accommodating. Res...</td>\n",
       "      <td>2015-03-21 14:00:29</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>LWQJo1dFvAgJQF_dxN6JCA</td>\n",
       "      <td>G_eZLhf1Kw5WBpMlXHizNQ</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>The staff here was great. We had a bunch of pe...</td>\n",
       "      <td>2014-03-16 13:59:31</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>il_Ro8jwPlHresjw9EGmBg</td>\n",
       "      <td>Denny's</td>\n",
       "      <td>8901 US 31 S</td>\n",
       "      <td>Indianapolis</td>\n",
       "      <td>IN</td>\n",
       "      <td>46227</td>\n",
       "      <td>39.637133</td>\n",
       "      <td>-86.127217</td>\n",
       "      <td>2.5</td>\n",
       "      <td>28.0</td>\n",
       "      <td>...</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>yQJXhZIF6_VMC5gY7gBDAw</td>\n",
       "      <td>iYpCMhEqsped1647fF_u-A</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Food was awful!  Hamburger was burnt and cold....</td>\n",
       "      <td>2018-08-12 15:32:47</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              business_id     name       address          city state  \\\n",
       "0  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "1  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "2  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "3  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "4  il_Ro8jwPlHresjw9EGmBg  Denny's  8901 US 31 S  Indianapolis    IN   \n",
       "\n",
       "  postal_code   latitude  longitude  stars_x  review_count  ...  \\\n",
       "0       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "1       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "2       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "3       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "4       46227  39.637133 -86.127217      2.5          28.0  ...   \n",
       "\n",
       "                                               hours               review_id  \\\n",
       "0  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  YByDh56Hl11HoYdBm-uArA   \n",
       "1  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  3vwdkRRoUe4PewzD8HvQbQ   \n",
       "2  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  LX2or1ZvpaO8x9Xb8UxF5Q   \n",
       "3  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  LWQJo1dFvAgJQF_dxN6JCA   \n",
       "4  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  yQJXhZIF6_VMC5gY7gBDAw   \n",
       "\n",
       "                  user_id stars_y useful funny  cool  \\\n",
       "0  9hhRs_n85m-jsKOXp3jt7Q     1.0    0.0   0.0   0.0   \n",
       "1  -BX5x3Ys-2JzFba3LiWlHA     1.0    0.0   0.0   0.0   \n",
       "2  tftplxTcJYHU8nrwCwtzFg     2.0    1.0   0.0   0.0   \n",
       "3  G_eZLhf1Kw5WBpMlXHizNQ     4.0    0.0   0.0   0.0   \n",
       "4  iYpCMhEqsped1647fF_u-A     1.0    0.0   0.0   0.0   \n",
       "\n",
       "                                                text                 date  \\\n",
       "0  Went there at 4am and there was only one waitr...  2016-05-08 08:49:25   \n",
       "1  I had an immensely frustrating experience here...  2017-08-30 10:52:52   \n",
       "2  Food was decent, staff were accommodating. Res...  2015-03-21 14:00:29   \n",
       "3  The staff here was great. We had a bunch of pe...  2014-03-16 13:59:31   \n",
       "4  Food was awful!  Hamburger was burnt and cold....  2018-08-12 15:32:47   \n",
       "\n",
       "   word_count  \n",
       "0          87  \n",
       "1         186  \n",
       "2          23  \n",
       "3          41  \n",
       "4          39  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9a9491ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(reviews['word_count'], bins=100, color='skyblue', edgecolor='black')\n",
    "plt.title('Distribution of Review Length_Full Dataset')\n",
    "plt.xlabel('Word Counts')\n",
    "plt.ylabel('count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "39118c7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "percentile_10 = reviews['word_count'].quantile(0.1)\n",
    "percentile_10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "45f9c8bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1030795, 23)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews = reviews[reviews['word_count'] >= percentile_10]\n",
    "reviews.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c6ae26a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1029688, 23)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews = reviews[reviews['word_count'] <= 800]\n",
    "reviews.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7159fc2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "reviews.to_csv('all_reviews_cleaned.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fead4aa0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(reviews['word_count'], bins=100, color='skyblue', edgecolor='black')\n",
    "plt.title('Distribution of Review Length_Sampled Data')\n",
    "plt.xlabel('Word Counts')\n",
    "plt.ylabel('count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "61a7dbc6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.6947535979815251"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skewness_all = skew(reviews['stars_y'])\n",
    "skewness_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b4c598ed",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "star_counts_all = reviews['stars_y'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a9424e4e",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = star_counts_all.sort_index().plot(kind='bar', color='skyblue', edgecolor='black')\n",
    "ax.set_xlabel('star_review_FullDataset')\n",
    "ax.set_ylabel('count')\n",
    "for i, v in enumerate(star_counts_all.sort_index()):\n",
    "    ax.text(i, v + 0.1, str(v), color='black', ha='center')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9f30733c",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample5000 = reviews.sample(n=5000, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "69b6b9f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample5000.to_csv('sampled_data_5000.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1f6cf203",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.6828844694987981"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skewness_sample = skew(sample5000['stars_y'])\n",
    "skewness_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d7444cd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "star_counts_sample = sample5000['stars_y'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "594c32b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = star_counts_sample.sort_index().plot(kind='bar', color='skyblue', edgecolor='black')\n",
    "ax.set_xlabel('star_review_SampledDataset')\n",
    "ax.set_ylabel('count')\n",
    "for i, v in enumerate(star_counts_sample.sort_index()):\n",
    "    ax.text(i, v + 0.1, str(v), color='black', ha='center')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9019ddf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1024688, 23)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use the merge function with how='left' and indicator=True\n",
    "merged = pd.merge(reviews,sample5000 , how='left', indicator=True)\n",
    "\n",
    "# Filter the rows where the indicator is 'left_only' (present in dataset1 but not in dataset2)\n",
    "result = merged[merged['_merge'] == 'left_only']\n",
    "\n",
    "# Drop the indicator column if needed\n",
    "result = result.drop(columns=['_merge'])\n",
    "\n",
    "# Display the result\n",
    "result.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b350a83a",
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv('unlabelled.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1048cd56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(result['word_count'], bins=100, color='skyblue', edgecolor='black')\n",
    "plt.title('Distribution of Review Length')\n",
    "plt.xlabel('Word Counts')\n",
    "plt.ylabel('count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4b244d97",
   "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>Unnamed: 0</th>\n",
       "      <th>Review</th>\n",
       "      <th>Review_Rating</th>\n",
       "      <th>Service</th>\n",
       "      <th>Food Quality</th>\n",
       "      <th>Ambiance/Atmosphere</th>\n",
       "      <th>Wait Time</th>\n",
       "      <th>Price</th>\n",
       "      <th>Menu Variety</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>The New Mexican a style cuisine here is damn g...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>The Eastern European food is great but do not ...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Great service and great scene. Two levels with...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Had dinner here with my co-workers and this pl...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>We have dined at Scoogi's many times and have ...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                                             Review  \\\n",
       "0           0  The New Mexican a style cuisine here is damn g...   \n",
       "1           1  The Eastern European food is great but do not ...   \n",
       "2           2  Great service and great scene. Two levels with...   \n",
       "3           3  Had dinner here with my co-workers and this pl...   \n",
       "4           4  We have dined at Scoogi's many times and have ...   \n",
       "\n",
       "   Review_Rating  Service  Food Quality  Ambiance/Atmosphere  Wait Time  \\\n",
       "0            5.0      4.0           5.0                  0.0        0.0   \n",
       "1            5.0      0.0           5.0                  0.0        5.0   \n",
       "2            5.0      5.0           0.0                  5.0        5.0   \n",
       "3            5.0      5.0           5.0                  5.0        0.0   \n",
       "4            4.0      3.0           5.0                  0.0        0.0   \n",
       "\n",
       "   Price  Menu Variety  \n",
       "0    0.0           4.0  \n",
       "1    0.0           5.0  \n",
       "2    0.0           0.0  \n",
       "3    0.0           5.0  \n",
       "4    0.0           5.0  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labelled_zeros = pd.read_csv('labelled_with_zeros.csv')\n",
    "labelled_zeros.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "cf533a0f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Service\n",
       "0.0    1693\n",
       "5.0    1508\n",
       "1.0     600\n",
       "4.0     553\n",
       "3.0     327\n",
       "2.0     319\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rating_service = labelled_zeros['Service'].value_counts()\n",
    "rating_service"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "5154af74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xY4b+/e9/q1evXnrxxRfl5+en5cuX67PPPtOsWbNkt9srdEyXiouLU9++fdWrVy9NnTpV7u7umj9/vvbt26f33nuvQt/s/L//+7/6f//v/+n+++9Xu3bt5OXlpdTUVM2bN0+//fabXnvtNbN24cKFGjBggPr166fRo0erfv36OnXqlA4cOKA9e/boww8/vKp91qlTR0OHDlVCQoJOnz6tqVOnlnq9/1KNGjXS888/r//5n/9RXl6eHnzwQdntdn3//ffKzMzUSy+9pNq1ays+Pl6jRo3SqVOndN999ykwMFAnT57U3r17dfLkycsGqst59dVX1aVLF/3P//yP/u///k99+/aVu7u7HnzwQT3zzDM6f/68FixYoKysrFLrXstn6Wq1atVKDz74oF5//XW5uLiod+/e2r9/v15//XXZ7XaH89mlSxdFRkbqjjvuUN26dXXgwAEtXbpUYWFh5r8NgLfMgEuUvOVSMrm7uxuBgYFGjx49jJkzZxoZGRml1rn0jaAdO3YYQ4cONRo2bGh4eHgY/v7+Ro8ePYy1a9c6rLd+/Xqjffv2hoeHh8ObMSXbO3ny5BX3ZRgX3zIbNGiQ8dFHHxmtWrUy3N3djUaNGhmzZ88utf6PP/5oREREGL6+vsbNN99sTJw40fjss89KvWV26tQp47777jPq1Klj2Gw2h32qjLfjvvvuO2Pw4MGG3W433N3djbZt2xqLFy92qCl5y+zDDz90GC95u+nS+rJs3brV6N27t+Ht7W14eXkZXbt2NT799NMyt3c1b5nt3LnTmDBhgtG2bVvDz8/PcHFxMW6++Wajf//+xueff16qfu/evcbw4cONwMBAw83NzQgODjZ69+5tvPnmm2bN1bypuG7dOvMz9uOPP5ZaXtbfs2EYxrvvvmt07tzZ8PT0NGrXrm20b9++1HnbsmWLMWjQIMPPz89wc3Mz6tevbwwaNKjUeb/Ulc7bn//8Z8PV1dU4fPiwYRiG8emnnxpt27Y1PD09jfr16xtPP/208Z///OcPfZbKO3dlvQl5/vx5Y/LkyUZgYKDh6elpdO3a1dixY4dht9uNp556yqx77rnnjE6dOhl169Y1PDw8jFtvvdV46qmnjMzMzMueD1iLzTCu8LoMAAA1xPbt23XnnXdq+fLll31rD7gUgQgAUCMlJSVpx44d6tixo7y8vLR37179/e9/l91u17fffmu+RABcDZ4hAgDUSL6+vlq3bp3mzp2rM2fOKCAgQAMGDFBcXBxhCNeMK0QAAMDyeO0eAABYHoEIAABYHoEIAABYHg9VX6Xi4mIdP35cPj4+FfryNwAAUPUMw9CZM2cUEhJy2S9AJRBdpePHj5f7+4MAAED1dvTo0cv+cmQC0VUq+R1FR48ela+vr5O7AQAAVyMnJ0ehoaFX/F2DBKKrVHKbzNfXl0AEAEANc6XHXXioGgAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWJ6rsxuAdOTIEWVmZjq7DacICAhQgwYNnN0GAMDiCEROduTIEd3eooXyzp1zditO4VWrln44cIBQBABwKgKRk2VmZirv3DkNf2WBAhs3dXY7VSoj9ZA++NtflZmZSSACADgVgaiaCGzcVPVbtHV2GwAAWBIPVQMAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMsjEAEAAMtzaiD68ssvNXjwYIWEhMhms2nNmjWlag4cOKCoqCjZ7Xb5+Pioa9euOnLkiLk8Pz9fEydOVEBAgLy9vRUVFaVjx445bCMrK0vR0dGy2+2y2+2Kjo7W6dOnr/PRAQCAmsKpgejs2bNq27at5s2bV+by//73v7rrrrt0++23a/Pmzdq7d69eeOEFeXp6mjUxMTFavXq1Vq5cqW3btik3N1eRkZEqKioya0aMGKGUlBQlJiYqMTFRKSkpio6Ovu7HBwAAagZXZ+58wIABGjBgQLnLp0+froEDB2rWrFnm2K233mr+OTs7W4sWLdLSpUvVp08fSdKyZcsUGhqq9evXq1+/fjpw4IASExO1c+dOdenSRZL09ttvKywsTAcPHlTz5s2v09EBAICaoto+Q1RcXKzPPvtMzZo1U79+/RQYGKguXbo43FZLTk5WYWGhIiIizLGQkBC1bt1a27dvlyTt2LFDdrvdDEOS1LVrV9ntdrOmLPn5+crJyXGYAADAjanaBqKMjAzl5ubq73//u/r3769169Zp6NChGjZsmLZs2SJJSk9Pl7u7u+rWreuwblBQkNLT082awMDAUtsPDAw0a8oSFxdnPnNkt9sVGhpaiUcHAACqk2obiIqLiyVJ99xzj5566im1a9dOzz33nCIjI/Xmm29edl3DMGSz2cz53/+5vJpLTZs2TdnZ2eZ09OjRCh4JAACo7qptIAoICJCrq6tatmzpMN6iRQvzLbPg4GAVFBQoKyvLoSYjI0NBQUFmzYkTJ0pt/+TJk2ZNWTw8POTr6+swAQCAG1O1DUTu7u7q3LmzDh486DD+448/qmHDhpKkjh07ys3NTUlJSebytLQ07du3T926dZMkhYWFKTs7W19//bVZ89VXXyk7O9usAQAA1ubUt8xyc3N1+PBhcz41NVUpKSny8/NTgwYN9PTTT+v+++9X9+7d1atXLyUmJurTTz/V5s2bJUl2u11jxozRlClT5O/vLz8/P02dOlVt2rQx3zpr0aKF+vfvr7Fjx2rhwoWSpMcff1yRkZG8YQYAACQ5ORDt3r1bvXr1MucnT54sSRo1apQSEhI0dOhQvfnmm4qLi9OkSZPUvHlzffzxx7rrrrvMdebMmSNXV1cNHz5ceXl5Cg8PV0JCglxcXMya5cuXa9KkSebbaFFRUeV+9xEAALAem2EYhrObqAlycnJkt9uVnZ1dqc8T7dmzRx07dtQTy9erfou2lbbdmuDXA3s1b2QfJScnq0OHDs5uBwBwA7ran9/V9hkiAACAqkIgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlkcgAgAAlufUX+4KAAAcHTlyRJmZmc5uo8oFBASoQYMGTts/gQgAgGriyJEjur1FC+WdO+fsVqqcV61a+uHAAaeFIgIRAADVRGZmpvLOndPwVxYosHFTZ7dTZTJSD+mDv/1VmZmZBCIAAHBRYOOmqt+irbPbsBQeqgYAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJbn1ED05ZdfavDgwQoJCZHNZtOaNWvKrR03bpxsNpvmzp3rMJ6fn6+JEycqICBA3t7eioqK0rFjxxxqsrKyFB0dLbvdLrvdrujoaJ0+fbryDwgAANRITg1EZ8+eVdu2bTVv3rzL1q1Zs0ZfffWVQkJCSi2LiYnR6tWrtXLlSm3btk25ubmKjIxUUVGRWTNixAilpKQoMTFRiYmJSklJUXR0dKUfDwAAqJlcnbnzAQMGaMCAAZet+fXXX/XEE0/oiy++0KBBgxyWZWdna9GiRVq6dKn69OkjSVq2bJlCQ0O1fv169evXTwcOHFBiYqJ27typLl26SJLefvtthYWF6eDBg2revPn1OTgAAFBjVOtniIqLixUdHa2nn35arVq1KrU8OTlZhYWFioiIMMdCQkLUunVrbd++XZK0Y8cO2e12MwxJUteuXWW3280aAABgbU69QnQlr776qlxdXTVp0qQyl6enp8vd3V1169Z1GA8KClJ6erpZExgYWGrdwMBAs6Ys+fn5ys/PN+dzcnIqcggAAKAGqLZXiJKTk/XPf/5TCQkJstls17SuYRgO65S1/qU1l4qLizMfwrbb7QoNDb2mHgAAQM1RbQPR1q1blZGRoQYNGsjV1VWurq765ZdfNGXKFDVq1EiSFBwcrIKCAmVlZTmsm5GRoaCgILPmxIkTpbZ/8uRJs6Ys06ZNU3Z2tjkdPXq08g4OAABUK9U2EEVHR+vbb79VSkqKOYWEhOjpp5/WF198IUnq2LGj3NzclJSUZK6Xlpamffv2qVu3bpKksLAwZWdn6+uvvzZrvvrqK2VnZ5s1ZfHw8JCvr6/DBAAAbkxOfYYoNzdXhw8fNudTU1OVkpIiPz8/NWjQQP7+/g71bm5uCg4ONt8Ms9vtGjNmjKZMmSJ/f3/5+flp6tSpatOmjfnWWYsWLdS/f3+NHTtWCxculCQ9/vjjioyM5A0zAAAgycmBaPfu3erVq5c5P3nyZEnSqFGjlJCQcFXbmDNnjlxdXTV8+HDl5eUpPDxcCQkJcnFxMWuWL1+uSZMmmW+jRUVFXfG7jwAAgHU4NRD17NlThmFcdf3PP/9caszT01Px8fGKj48vdz0/Pz8tW7asIi0CAAALqLbPEAEAAFQVAhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8pwaiL7/8UoMHD1ZISIhsNpvWrFljLissLNSzzz6rNm3ayNvbWyEhIXr44Yd1/Phxh23k5+dr4sSJCggIkLe3t6KionTs2DGHmqysLEVHR8tut8tutys6OlqnT5+ugiMEAAA1gVMD0dmzZ9W2bVvNmzev1LJz585pz549euGFF7Rnzx6tWrVKP/74o6KiohzqYmJitHr1aq1cuVLbtm1Tbm6uIiMjVVRUZNaMGDFCKSkpSkxMVGJiolJSUhQdHX3djw8AANQMrs7c+YABAzRgwIAyl9ntdiUlJTmMxcfH609/+pOOHDmiBg0aKDs7W4sWLdLSpUvVp08fSdKyZcsUGhqq9evXq1+/fjpw4IASExO1c+dOdenSRZL09ttvKywsTAcPHlTz5s2v70ECAIBqr0Y9Q5SdnS2bzaY6depIkpKTk1VYWKiIiAizJiQkRK1bt9b27dslSTt27JDdbjfDkCR17dpVdrvdrClLfn6+cnJyHCYAAHBjqjGB6Pz583ruuec0YsQI+fr6SpLS09Pl7u6uunXrOtQGBQUpPT3drAkMDCy1vcDAQLOmLHFxceYzR3a7XaGhoZV4NAAAoDqpEYGosLBQDzzwgIqLizV//vwr1huGIZvNZs7//s/l1Vxq2rRpys7ONqejR49WrHkAAFDtVftAVFhYqOHDhys1NVVJSUnm1SFJCg4OVkFBgbKyshzWycjIUFBQkFlz4sSJUts9efKkWVMWDw8P+fr6OkwAAODGVK0DUUkYOnTokNavXy9/f3+H5R07dpSbm5vDw9dpaWnat2+funXrJkkKCwtTdna2vv76a7Pmq6++UnZ2tlkDAACszalvmeXm5urw4cPmfGpqqlJSUuTn56eQkBDdd9992rNnj/7973+rqKjIfObHz89P7u7ustvtGjNmjKZMmSJ/f3/5+flp6tSpatOmjfnWWYsWLdS/f3+NHTtWCxculCQ9/vjjioyM5A0zAAAgycmBaPfu3erVq5c5P3nyZEnSqFGjFBsbq7Vr10qS2rVr57Depk2b1LNnT0nSnDlz5OrqquHDhysvL0/h4eFKSEiQi4uLWb98+XJNmjTJfBstKiqqzO8+AgAA1uTUQNSzZ08ZhlHu8sstK+Hp6an4+HjFx8eXW+Pn56dly5ZVqEcAAHDjq9bPEAEAAFQFAhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8pwaiL7/8UoMHD1ZISIhsNpvWrFnjsNwwDMXGxiokJEReXl7q2bOn9u/f71CTn5+viRMnKiAgQN7e3oqKitKxY8ccarKyshQdHS273S673a7o6GidPn36Oh8dAACoKZwaiM6ePau2bdtq3rx5ZS6fNWuWZs+erXnz5mnXrl0KDg5W3759debMGbMmJiZGq1ev1sqVK7Vt2zbl5uYqMjJSRUVFZs2IESOUkpKixMREJSYmKiUlRdHR0df9+AAAQM3g6sydDxgwQAMGDChzmWEYmjt3rqZPn65hw4ZJkpYsWaKgoCCtWLFC48aNU3Z2thYtWqSlS5eqT58+kqRly5YpNDRU69evV79+/XTgwAElJiZq586d6tKliyTp7bffVlhYmA4ePKjmzZtXzcECAIBqq9o+Q5Samqr09HRFRESYYx4eHurRo4e2b98uSUpOTlZhYaFDTUhIiFq3bm3W7NixQ3a73QxDktS1a1fZ7Xazpiz5+fnKyclxmAAAwI2p2gai9PR0SVJQUJDDeFBQkLksPT1d7u7uqlu37mVrAgMDS20/MDDQrClLXFyc+cyR3W5XaGjoHzoeAABQfVXbQFTCZrM5zBuGUWrsUpfWlFV/pe1MmzZN2dnZ5nT06NFr7BwAANQU1TYQBQcHS1KpqzgZGRnmVaPg4GAVFBQoKyvrsjUnTpwotf2TJ0+Wuvr0ex4eHvL19XWYAADAjanaBqLGjRsrODhYSUlJ5lhBQYG2bNmibt26SZI6duwoNzc3h5q0tDTt27fPrAkLC1N2dra+/vprs+arr75Sdna2WQMAAKzNqW+Z5ebm6vDhw+Z8amqqUlJS5OfnpwYNGigmJkYzZ85U06ZN1bRpU82cOVO1atXSiBEjJEl2u11jxozRlClT5O/vLz8/P02dOlVt2rQx3zpr0aKF+vfvr7Fjx2rhwoWSpMcff1yRkZG8YQYAACRVMBDdeuut2rVrl/z9/R3GT58+rQ4dOuinn366qu3s3r1bvXr1MucnT54sSRo1apQSEhL0zDPPKC8vT+PHj1dWVpa6dOmidevWycfHx1xnzpw5cnV11fDhw5WXl6fw8HAlJCTIxcXFrFm+fLkmTZpkvo0WFRVV7ncfAQAA66lQIPr5558dvviwRH5+vn799der3k7Pnj1lGEa5y202m2JjYxUbG1tujaenp+Lj4xUfH19ujZ+fn5YtW3bVfQEAAGu5pkC0du1a889ffPGF7Ha7OV9UVKQNGzaoUaNGldYcAABAVbimQDRkyBBJF6/cjBo1ymGZm5ubGjVqpNdff73SmgMAAKgK1xSIiouLJV18A2zXrl0KCAi4Lk0BAABUpQo9Q5SamlrZfQAAADhNhV+737BhgzZs2KCMjAzzylGJd9555w83BgAAUFUqFIheeuklvfzyy+rUqZPq1at3xV+lAQAAUJ1VKBC9+eabSkhIUHR0dGX3AwAAUOUq9Ks7CgoK+LUXAADghlGhQPTYY49pxYoVld0LAACAU1Toltn58+f11ltvaf369brjjjvk5ubmsHz27NmV0hwAAEBVqFAg+vbbb9WuXTtJ0r59+xyW8YA1AACoaSoUiDZt2lTZfQAAADhNhZ4hAgAAuJFU6ApRr169LntrbOPGjRVuCAAAoKpVKBCVPD9UorCwUCkpKdq3b1+pX/oKAABQ3VUoEM2ZM6fM8djYWOXm5v6hhgAAAKpapT5D9NBDD/F7zAAAQI1TqYFox44d8vT0rMxNAgAAXHcVumU2bNgwh3nDMJSWlqbdu3frhRdeqJTGAAAAqkqFApHdbneYv+mmm9S8eXO9/PLLioiIqJTGAAAAqkqFAtHixYsruw8AAACnqVAgKpGcnKwDBw7IZrOpZcuWat++fWX1BQAAUGUqFIgyMjL0wAMPaPPmzapTp44Mw1B2drZ69eqllStX6uabb67sPgEAAK6bCr1lNnHiROXk5Gj//v06deqUsrKytG/fPuXk5GjSpEmV3SMAAMB1VaErRImJiVq/fr1atGhhjrVs2VL/+te/eKgaAADUOBW6QlRcXCw3N7dS425ubiouLv7DTQEAAFSlCgWi3r1768knn9Tx48fNsV9//VVPPfWUwsPDK605AACAqlChQDRv3jydOXNGjRo10m233aYmTZqocePGOnPmjOLj4yu7RwAAgOuqQs8QhYaGas+ePUpKStIPP/wgwzDUsmVL9enTp7L7AwAAuO6u6QrRxo0b1bJlS+Xk5EiS+vbtq4kTJ2rSpEnq3LmzWrVqpa1bt16XRgEAAK6XawpEc+fO1dixY+Xr61tqmd1u17hx4zR79uxKa+7ChQv629/+psaNG8vLy0u33nqrXn75ZYcHtw3DUGxsrEJCQuTl5aWePXtq//79DtvJz8/XxIkTFRAQIG9vb0VFRenYsWOV1icAAKjZrikQ7d27V/379y93eUREhJKTk/9wUyVeffVVvfnmm5o3b54OHDigWbNm6bXXXnN4TmnWrFmaPXu25s2bp127dik4OFh9+/bVmTNnzJqYmBitXr1aK1eu1LZt25Sbm6vIyEgVFRVVWq8AAKDmuqZniE6cOFHm6/bmxlxddfLkyT/cVIkdO3bonnvu0aBBgyRJjRo10nvvvafdu3dLunh1aO7cuZo+fbqGDRsmSVqyZImCgoK0YsUKjRs3TtnZ2Vq0aJGWLl1qPuO0bNkyhYaGav369erXr1+l9QsAAGqma7pCVL9+fX333XflLv/2229Vr169P9xUibvuuksbNmzQjz/+KOniFapt27Zp4MCBkqTU1FSlp6c7fBmkh4eHevTooe3bt0u6+PvWCgsLHWpCQkLUunVrs6Ys+fn5ysnJcZgAAMCN6ZoC0cCBA/Xiiy/q/PnzpZbl5eVpxowZioyMrLTmnn32WT344IO6/fbb5ebmpvbt2ysmJkYPPvigJCk9PV2SFBQU5LBeUFCQuSw9PV3u7u6qW7duuTVliYuLk91uN6fQ0NBKOy4AAFC9XNMts7/97W9atWqVmjVrpieeeELNmzeXzWbTgQMH9K9//UtFRUWaPn16pTX3/vvva9myZVqxYoVatWqllJQUxcTEKCQkRKNGjTLrbDabw3qGYZQau9SVaqZNm6bJkyeb8zk5OYQiAABuUNcUiIKCgrR9+3b99a9/1bRp02QYhqSLgaRfv36aP39+qas1f8TTTz+t5557Tg888IAkqU2bNvrll18UFxenUaNGKTg4WNLFq0C/v1WXkZFh9hEcHKyCggJlZWU5XCXKyMhQt27dyt23h4eHPDw8Ku1YAABA9XXN31TdsGFDff7558rMzNRXX32lnTt3KjMzU59//rkaNWpUqc2dO3dON93k2KKLi4v52n3jxo0VHByspKQkc3lBQYG2bNlihp2OHTvKzc3NoSYtLU379u27bCACAADWUaFvqpakunXrqnPnzpXZSymDBw/W//7v/6pBgwZq1aqVvvnmG82ePVuPPvqopItXpmJiYjRz5kw1bdpUTZs21cyZM1WrVi2NGDFC0sXvRxozZoymTJkif39/+fn5aerUqWrTpg3frA0AACT9gUBUFeLj4/XCCy9o/PjxysjIUEhIiMaNG6cXX3zRrHnmmWeUl5en8ePHKysrS126dNG6devk4+Nj1syZM0eurq4aPny48vLyFB4eroSEBLm4uDjjsAAAQDVTrQORj4+P5s6dq7lz55ZbY7PZFBsbq9jY2HJrPD09FR8fzy+eBQAAZarQb7sHAAC4kRCIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5RGIAACA5VX7QPTrr7/qoYcekr+/v2rVqqV27dopOTnZXG4YhmJjYxUSEiIvLy/17NlT+/fvd9hGfn6+Jk6cqICAAHl7eysqKkrHjh2r6kMBAADVVLUORFlZWbrzzjvl5uam//znP/r+++/1+uuvq06dOmbNrFmzNHv2bM2bN0+7du1ScHCw+vbtqzNnzpg1MTExWr16tVauXKlt27YpNzdXkZGRKioqcsJRAQCA6sbV2Q1czquvvqrQ0FAtXrzYHGvUqJH5Z8MwNHfuXE2fPl3Dhg2TJC1ZskRBQUFasWKFxo0bp+zsbC1atEhLly5Vnz59JEnLli1TaGio1q9fr379+lXpMQEAgOqnWgeitWvXql+/fvrzn/+sLVu2qH79+ho/frzGjh0rSUpNTVV6eroiIiLMdTw8PNSjRw9t375d48aNU3JysgoLCx1qQkJC1Lp1a23fvr3cQJSfn6/8/HxzPicn5zodJSrqyJEjyszMdHYbVS4gIEANGjRwdhsAcEOp1oHop59+0oIFCzR58mQ9//zz+vrrrzVp0iR5eHjo4YcfVnp6uiQpKCjIYb2goCD98ssvkqT09HS5u7urbt26pWpK1i9LXFycXnrppUo+IlSWI0eO6PYWLZR37pyzW6lyXrVq6YcDBwhFAFCJqnUgKi4uVqdOnTRz5kxJUvv27bV//34tWLBADz/8sFlns9kc1jMMo9TYpa5UM23aNE2ePNmcz8nJUWhoaEUOA9dBZmam8s6d0/BXFiiwcVNnt1NlMlIP6YO//VWZmZkEIgCoRNU6ENWrV08tW7Z0GGvRooU+/vhjSVJwcLCki1eB6tWrZ9ZkZGSYV42Cg4NVUFCgrKwsh6tEGRkZ6tatW7n79vDwkIeHR6UdC66PwMZNVb9FW2e3AQCo4ar1W2Z33nmnDh486DD2448/qmHDhpKkxo0bKzg4WElJSebygoICbdmyxQw7HTt2lJubm0NNWlqa9u3bd9lABAAArKNaXyF66qmn1K1bN82cOVPDhw/X119/rbfeektvvfWWpIu3ymJiYjRz5kw1bdpUTZs21cyZM1WrVi2NGDFCkmS32zVmzBhNmTJF/v7+8vPz09SpU9WmTRvzrTMAAGBt1ToQde7cWatXr9a0adP08ssvq3Hjxpo7d65Gjhxp1jzzzDPKy8vT+PHjlZWVpS5dumjdunXy8fExa+bMmSNXV1cNHz5ceXl5Cg8PV0JCglxcXJxxWAAAoJqp1oFIkiIjIxUZGVnucpvNptjYWMXGxpZb4+npqfj4eMXHx1+HDgEAQE1XrZ8hAgAAqAoEIgAAYHnV/pYZAKBm4tvkUZMQiAAAlY5vk+fb5GsaAhEAoNLxbfJ8m3xNQyACAFw3fJs8agoeqgYAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZXowJRXFycbDabYmJizDHDMBQbG6uQkBB5eXmpZ8+e2r9/v8N6+fn5mjhxogICAuTt7a2oqCgdO3asirsHAADVVY0JRLt27dJbb72lO+64w2F81qxZmj17tubNm6ddu3YpODhYffv21ZkzZ8yamJgYrV69WitXrtS2bduUm5uryMhIFRUVVfVhAACAaqhGBKLc3FyNHDlSb7/9turWrWuOG4ahuXPnavr06Ro2bJhat26tJUuW6Ny5c1qxYoUkKTs7W4sWLdLrr7+uPn36qH379lq2bJm+++47rV+/3lmHBAAAqpEaEYgmTJigQYMGqU+fPg7jqampSk9PV0REhDnm4eGhHj16aPv27ZKk5ORkFRYWOtSEhISodevWZg0AALA2V2c3cCUrV67Unj17tGvXrlLL0tPTJUlBQUEO40FBQfrll1/MGnd3d4crSyU1JeuXJT8/X/n5+eZ8Tk5OhY8BAABUb9X6CtHRo0f15JNPatmyZfL09Cy3zmazOcwbhlFq7FJXqomLi5Pdbjen0NDQa2seAADUGNU6ECUnJysjI0MdO3aUq6urXF1dtWXLFr3xxhtydXU1rwxdeqUnIyPDXBYcHKyCggJlZWWVW1OWadOmKTs725yOHj1ayUcHAACqi2odiMLDw/Xdd98pJSXFnDp16qSRI0cqJSVFt956q4KDg5WUlGSuU1BQoC1btqhbt26SpI4dO8rNzc2hJi0tTfv27TNryuLh4SFfX1+HCQAA3Jiq9TNEPj4+at26tcOYt7e3/P39zfGYmBjNnDlTTZs2VdOmTTVz5kzVqlVLI0aMkCTZ7XaNGTNGU6ZMkb+/v/z8/DR16lS1adOm1EPaAADAmqp1ILoazzzzjPLy8jR+/HhlZWWpS5cuWrdunXx8fMyaOXPmyNXVVcOHD1deXp7Cw8OVkJAgFxcXJ3YOAACqixoXiDZv3uwwb7PZFBsbq9jY2HLX8fT0VHx8vOLj469vcwAAoEaq1s8QAQAAVAUCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsLwa98WMAOAMR44cUWZmprPbqHIBAQFq0KCBs9sArjsCEWAx/GC/dkeOHNHtLVoo79y5Su6q+vOqVUs/HDhAKMINj0AEWAg/2Cv2gz0zM1N5585p+CsLFNi46XXornrKSD2kD/72V2VmZhKIcMMjEAEWwg/2P/aDPbBxU9Vv0bYSOwNQXRCIAAviBzsAOOItMwAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHnVOhDFxcWpc+fO8vHxUWBgoIYMGaKDBw861BiGodjYWIWEhMjLy0s9e/bU/v37HWry8/M1ceJEBQQEyNvbW1FRUTp27FhVHgoAAKjGqnUg2rJliyZMmKCdO3cqKSlJFy5cUEREhM6ePWvWzJo1S7Nnz9a8efO0a9cuBQcHq2/fvjpz5oxZExMTo9WrV2vlypXatm2bcnNzFRkZqaKiImccFgAAqGZcnd3A5SQmJjrML168WIGBgUpOTlb37t1lGIbmzp2r6dOna9iwYZKkJUuWKCgoSCtWrNC4ceOUnZ2tRYsWaenSperTp48kadmyZQoNDdX69evVr1+/Kj8uAABQvVTrK0SXys7OliT5+flJklJTU5Wenq6IiAizxsPDQz169ND27dslScnJySosLHSoCQkJUevWrc2asuTn5ysnJ8dhAgAAN6YaE4gMw9DkyZN11113qXXr1pKk9PR0SVJQUJBDbVBQkLksPT1d7u7uqlu3brk1ZYmLi5Pdbjen0NDQyjwcAABQjdSYQPTEE0/o22+/1XvvvVdqmc1mc5g3DKPU2KWuVDNt2jRlZ2eb09GjRyvWOAAAqPZqRCCaOHGi1q5dq02bNumWW24xx4ODgyWp1JWejIwM86pRcHCwCgoKlJWVVW5NWTw8POTr6+swAQCAG1O1DkSGYeiJJ57QqlWrtHHjRjVu3NhheePGjRUcHKykpCRzrKCgQFu2bFG3bt0kSR07dpSbm5tDTVpamvbt22fWAAAAa6vWb5lNmDBBK1as0CeffCIfHx/zSpDdbpeXl5dsNptiYmI0c+ZMNW3aVE2bNtXMmTNVq1YtjRgxwqwdM2aMpkyZIn9/f/n5+Wnq1Klq06aN+dYZAACwtmodiBYsWCBJ6tmzp8P44sWLNXr0aEnSM888o7y8PI0fP15ZWVnq0qWL1q1bJx8fH7N+zpw5cnV11fDhw5WXl6fw8HAlJCTIxcWlqg4FAABUY9U6EBmGccUam82m2NhYxcbGllvj6emp+Ph4xcfHV2J3AADgRlGtnyECAACoCgQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeZYKRPPnz1fjxo3l6empjh07auvWrc5uCQAAVAOWCUTvv/++YmJiNH36dH3zzTe6++67NWDAAB05csTZrQEAACezTCCaPXu2xowZo8cee0wtWrTQ3LlzFRoaqgULFji7NQAA4GSWCEQFBQVKTk5WRESEw3hERIS2b9/upK4AAEB14ersBqpCZmamioqKFBQU5DAeFBSk9PT0MtfJz89Xfn6+OZ+dnS1JysnJqdTecnNzJUm/HvhWBefOVuq2q7uTv/xX0sVzcK3n1arn7Y+cs5L1JM7bteK88W/0avFZq5g/et4up2R7hmFcvtCwgF9//dWQZGzfvt1h/JVXXjGaN29e5jozZswwJDExMTExMTHdANPRo0cvmxUscYUoICBALi4upa4GZWRklLpqVGLatGmaPHmyOV9cXKxTp07J399fNpvtuvZbVXJychQaGqqjR4/K19fX2e3UGJy3iuG8VQzn7dpxzirmRj1vhmHozJkzCgkJuWydJQKRu7u7OnbsqKSkJA0dOtQcT0pK0j333FPmOh4eHvLw8HAYq1OnzvVs02l8fX1vqA9/VeG8VQznrWI4b9eOc1YxN+J5s9vtV6yxRCCSpMmTJys6OlqdOnVSWFiY3nrrLR05ckR/+ctfnN0aAABwMssEovvvv1+//fabXn75ZaWlpal169b6/PPP1bBhQ2e3BgAAnMwygUiSxo8fr/Hjxzu7jWrDw8NDM2bMKHVrEJfHeasYzlvFcN6uHeesYqx+3myGcaX30AAAAG5slvhiRgAAgMshEAEAAMsjEAEAAMsjEAEAAMsjEFnY/Pnz1bhxY3l6eqpjx47aunWrs1uq1r788ksNHjxYISEhstlsWrNmjbNbqvbi4uLUuXNn+fj4KDAwUEOGDNHBgwed3Va1t2DBAt1xxx3mF+SFhYXpP//5j7PbqnHi4uJks9kUExPj7FaqtdjYWNlsNocpODjY2W1VOQKRRb3//vuKiYnR9OnT9c033+juu+/WgAEDdOTIEWe3Vm2dPXtWbdu21bx585zdSo2xZcsWTZgwQTt37lRSUpIuXLigiIgInT1rnV9aWRG33HKL/v73v2v37t3avXu3evfurXvuuUf79+93dms1xq5du/TWW2/pjjvucHYrNUKrVq2UlpZmTt99952zW6pyvHZvUV26dFGHDh20YMECc6xFixYaMmSI4uLinNhZzWCz2bR69WoNGTLE2a3UKCdPnlRgYKC2bNmi7t27O7udGsXPz0+vvfaaxowZ4+xWqr3c3Fx16NBB8+fP1yuvvKJ27dpp7ty5zm6r2oqNjdWaNWuUkpLi7FaciitEFlRQUKDk5GRFREQ4jEdERGj79u1O6gpWkJ2dLeniD3dcnaKiIq1cuVJnz55VWFiYs9upESZMmKBBgwapT58+zm6lxjh06JBCQkLUuHFjPfDAA/rpp5+c3VKVs9Q3VeOizMxMFRUVKSgoyGE8KChI6enpTuoKNzrDMDR58mTdddddat26tbPbqfa+++47hYWF6fz586pdu7ZWr16tli1bOrutam/lypXas2ePdu3a5exWaowuXbro3XffVbNmzXTixAm98sor6tatm/bv3y9/f39nt1dlCEQWZrPZHOYNwyg1BlSWJ554Qt9++622bdvm7FZqhObNmyslJUWnT5/Wxx9/rFGjRmnLli2Eoss4evSonnzySa1bt06enp7ObqfGGDBggPnnNm3aKCwsTLfddpuWLFmiyZMnO7GzqkUgsqCAgAC5uLiUuhqUkZFR6qoRUBkmTpyotWvX6ssvv9Qtt9zi7HZqBHd3dzVp0kSS1KlTJ+3atUv//Oc/tXDhQid3Vn0lJycrIyNDHTt2NMeKior05Zdfat68ecrPz5eLi4sTO6wZvL291aZNGx06dMjZrVQpniGyIHd3d3Xs2FFJSUkO40lJSerWrZuTusKNyDAMPfHEE1q1apU2btyoxo0bO7ulGsswDOXn5zu7jWotPDxc3333nVJSUsypU6dOGjlypFJSUghDVyk/P18HDhxQvXr1nN1KleIKkUVNnjxZ0dHR6tSpk8LCwvTWW2/pyJEj+stf/uLs1qqt3NxcHT582JxPTU1VSkqK/Pz81KBBAyd2Vn1NmDBBK1as0CeffCIfHx/zqqTdbpeXl5eTu6u+nn/+eQ0YMEChoaE6c+aMVq5cqc2bNysxMdHZrVVrPj4+pZ5P8/b2lr+/P8+tXcbUqVM1ePBgNWjQQBkZGXrllVeUk5OjUaNGObu1KkUgsqj7779fv/32m15++WWlpaWpdevW+vzzz9WwYUNnt1Zt7d69W7169TLnS+6tjxo1SgkJCU7qqnor+VqHnj17OowvXrxYo0ePrvqGaogTJ04oOjpaaWlpstvtuuOOO5SYmKi+ffs6uzXcgI4dO6YHH3xQmZmZuvnmm9W1a1ft3LnTcj8P+B4iAABgeTxDBAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABAAALI9ABKDGio2NVbt27ZzdRoXV9P6BGwmBCMAfkpGRoXHjxqlBgwby8PBQcHCw+vXrpx07dlz3fU+dOlUbNmy4rvuw2WzmVLt2bbVt27ZC30xus9m0Zs0ah7Gq6B/A1eFXdwD4Q+69914VFhZqyZIluvXWW3XixAlt2LBBp06dqvA2CwsL5ebmdsW62rVrq3bt2hXez9VavHix+vfvr7Nnz+r999/XI488onr16qlfv35/aLtV1T+AK+MKEYAKO336tLZt26ZXX31VvXr1UsOGDfWnP/1J06ZN06BBg8y67OxsPf744woMDJSvr6969+6tvXv3mstLbh298847uvXWW+Xh4aGFCxeqfv36Ki4udthnVFSU+Usny7rl9M4776hVq1by8PBQvXr19MQTT1x1H+WpU6eOgoODddttt+n555+Xn5+f1q1bZy7ftWuX+vbtq4CAANntdvXo0UN79uwxlzdq1EiSNHToUNlsNnP+0v5Hjx6tIUOG6B//+Ifq1asnf39/TZgwQYWFhWZNWlqaBg0aJC8vLzVu3FgrVqxQo0aNNHfu3CseB4DyEYgAVFjJFY41a9YoPz+/zBrDMDRo0CClp6fr888/V3Jysjp06KDw8HCHq0iHDx/WBx98oI8//lgpKSm67777lJmZqU2bNpk1WVlZ+uKLLzRy5Mgy97VgwQJNmDBBjz/+uL777jutXbtWTZo0uaY+LqeoqEgffPCBTp065XAF68yZMxo1apS2bt2qnTt3qmnTpho4cKDOnDkj6WJgki5eaUpLSzPny7Jp0yb997//1aZNm7RkyRIlJCQ43KJ7+OGHdfz4cW3evFkff/yx3nrrLWVkZFxV/wAuwwCAP+Cjjz4y6tata3h6ehrdunUzpk2bZuzdu9dcvmHDBsPX19c4f/68w3q33XabsXDhQsMwDGPGjBmGm5ubkZGR4VATFRVlPProo+b8woULjeDgYOPChQvmem3btjWXh4SEGNOnTy+zz6vpoyySDE9PT8Pb29twcXExJBl+fn7GoUOHyl3nwoULho+Pj/Hpp586bGf16tUOdZf2P2rUKKNhw4bm8RmGYfz5z3827r//fsMwDOPAgQOGJGPXrl3m8kOHDhmSjDlz5pTbD4Ar4woRgD/k3nvv1fHjx7V27Vr169dPmzdvVocOHcyrGsnJycrNzZW/v795Ral27dpKTU3Vf//7X3M7DRs21M033+yw7ZEjR+rjjz82rz4tX75cDzzwgFxcXEr1kZGRoePHjys8PLzMPq+2j7LMmTNHKSkpSkpKUrt27TRnzhzzylPJvv/yl7+oWbNmstvtstvtys3N1ZEjR67qHP5eq1atHI6vXr165hWggwcPytXVVR06dDCXN2nSRHXr1r3m/QBwxEPVAP4wT09P9e3bV3379tWLL76oxx57TDNmzNDo0aNVXFysevXqafPmzaXWq1Onjvlnb2/vUssHDx6s4uJiffbZZ+rcubO2bt2q2bNnl9mDl5fXZXu82j7KEhwcrCZNmqhJkyb68MMP1b59e3Xq1EktW7aUdPHZn5MnT2ru3Llq2LChPDw8FBYWpoKCgstutyyXPkxus9nM56gMwyhznfLGAVw9AhGASteyZUvzFfMOHTooPT1drq6u5sPEV8vLy0vDhg3T8uXLdfjwYTVr1kwdO3Yss9bHx0eNGjXShg0b1KtXr1LL/0gfv9ekSRPde++9mjZtmj755BNJ0tatWzV//nwNHDhQknT06FFlZmY6rOfm5qaioqIK71eSbr/9dl24cEHffPONeR4OHz6s06dP/6HtAuChagB/wG+//abevXtr2bJl+vbbb5WamqoPP/xQs2bN0j333CNJ6tOnj8LCwjRkyBB98cUX+vnnn7V9+3b97W9/0+7du6+4j5EjR+qzzz7TO++8o4ceeuiytbGxsXr99df1xhtv6NChQ9qzZ4/i4+MrpY/fmzJlij799FNzvSZNmmjp0qU6cOCAvvrqK40cObLUFauSsJaenq6srKxr2l+J22+/XX369NHjjz+ur7/+Wt98840ef/xxeXl5yWazVWibAC4iEAGosNq1a6tLly6aM2eOunfvrtatW+uFF17Q2LFjNW/ePEkXb/l8/vnn6t69ux599FE1a9ZMDzzwgH7++WcFBQVdcR+9e/eWn5+fDh48qBEjRly2dtSoUZo7d67mz5+vVq1aKTIyUocOHaqUPn6vTZs26tOnj1588UVJF1/1z8rKUvv27RUdHa1JkyYpMDDQYZ3XX39dSUlJCg0NVfv27a9pf7/37rvvKigoSN27d9fQoUM1duxY+fj4yNPTs8LbBCDZDG4+A0CNdezYMYWGhmr9+vXlPlAO4MoIRABQg2zcuFG5ublq06aN0tLS9Mwzz+jXX3/Vjz/+eFXf7g2gbDxUDQA1SGFhoZ5//nn99NNP8vHxUbdu3bR8+XLCEPAHcYUIAABYHg9VAwAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAy/v/AKKvJ31hZ1cAAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the bar chart\n",
    "plt.bar(rating_service.index, rating_service.values, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Service Rating')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Service Ratings')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "bbce8f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_service = labelled_zeros['Food Quality'].value_counts()\n",
    "plt.bar(rating_service.index, rating_service.values, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Food Quality Rating')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Food Quality Ratings')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "673f8df4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ap9+9e1dtuq6ursYxqM252rFjB4YPH442bdpg06ZNSEhIQGJiIt58802NbQCaxxl4cKwrj3NeXh7Ky8sfe5P+jRs38OOPP0JPT09tqLxHKCcnR6rdvn27xi/qy5cv4/jx4xgwYACEENIxHjZsGID/e/KsNqoeY+DBcX7csa/L6+fLL7/ErFmzsGvXLvj7+8Pc3ByDBw/WCG51OY+POxe5ubkoKyvD8uXLNY7zyy+/DED9OAOa7w+V9/gMGzZMYx0LFy6EEAK3bt3S6KOqd955B4mJiTh58iT+85//4P79+3jllVfU9unq1avo3r07/vrrL3zxxRc4ceIEEhMTpfud/mnoeNx7RGUvlQ+2VKrunNT2fModnzKjOtu3bx/Ky8vRq1evGuu6d++O7t27o7y8HGfOnMHy5csxbdo0qFQq6X/Jj1OX7zbKysp65LTKNwhDQ0MAULtZFtB8o60rCwuLar+3p/ImSEtLy3+0fgBo1aoVWrRo0eDbiYuLk/7XWd0vrVOnTuG3335Du3bt6rzuRykrK0Nubq7a9qqeq+ps2rQJzs7O+O6779ReG1XPZ22Zm5tDR0cH169fr7HO0tISHTp0wKefflrt/MpAkZqaitTUVI0QuXbtWgghsH37dmzfvl1j+fXr12P+/PnQ0dGp137URl1ePyYmJpg3bx7mzZuHGzduSFcXBg4ciIsXL0rL1fc8Pqq/yqtVkydPrrbG2dlZbbzq+0Nl/8uXL3/k01tVA0R17OzspBupu3XrBmtra/zrX//C3LlzsWLFCgAPHkIoLi7Gjh074OjoKC2bnJz82PU3hMrje+PGDbWrtZXn5GG1PZ9yxytEVCdXr17FzJkzoVQqMWHChFoto6OjA29vb+l/TpUfX9XmqkhdpKSk4Ndff1WbtmXLFpiamkofX1Re8j537pxa3Z49ezTW9/D/Xh8nICAAhw8f1ngKZMOGDTA2Nm6QR2tNTEzg7e2NHTt2qPVVUVGBTZs2wc7ODs8//3yd1xsZGYkWLVpg165dOHLkiNqwceNGAHW7glFbmzdvVhvfsmULANQYtBUKBfT19dV+EWZlZVX7lFltGBkZoWfPnvj+++9rDMXBwcG4cOEC2rZtCy8vL42hMhD98MMPsLW1VTvf5eXlWL9+Pdq2batxfI8cOYIZM2YgMzMTBw4cANDwPxeV6vv6UalUGDNmDEaNGoW0tDSNJ8jqcx6rY2xsDH9/f/zyyy/o0KFDtcf5cSGrW7dueOaZZ/Dbb79Vu7yXl5d05awuXn/9dfTq1Qtr1qyR/vNQ+RqsPF/Ag1sJ1qxZo7F8Xd5Laqvy8f+qH2lv37692icfKz3ufMoZrxDRI124cEH6DD47OxsnTpzAunXroKOjg507d9Z4z8WqVatw+PBhDBgwAA4ODrh79670S7VPnz4AAFNTUzg6OmL37t0ICAiAubk5LC0ta/WIeHVsbW0xaNAghIeHw8bGBps2bUJsbCwWLlwo3dfStWtXuLq6YubMmSgrK0OrVq2wc+fOah8v9/DwwI4dO7By5Up4enqiRYsWat/L9LC5c+dK95n8+9//hrm5OTZv3ox9+/Zh0aJFUCqV9dqnqiIiItC3b1/4+/tj5syZ0NfXx9dff40LFy5g69atdf628NzcXOzevRv9+vXDK6+8Um3N0qVLsWHDBkREREBPT68hdgP6+vpYvHgxioqK0LVrV8THx2P+/PkICgrCSy+99MjlgoODsWPHDkyaNAnDhg3DtWvX8Mknn8DGxqbel/+XLFmCl156Cd7e3nj//ffx3HPP4caNG9izZw9Wr14NU1NTfPzxx4iNjYWfnx+mTp0KV1dX3L17F1euXMH+/fuxatUq2NnZYfv27Rg6dKjaeThw4AD+/vtvLFy4sNqQ4O7ujhUrViAyMhLBwcHSN1h/8803MDU1haGhIZydnet8xaU6tX39eHt7Izg4GB06dECrVq2QmpqKjRs3wtfXV+0esfqex0f54osv8NJLL6F79+6YOHEinJycUFhYiMuXL+PHH3/E4cOHa1y+ZcuWWL58OUJDQ3Hr1i0MGzYMVlZWuHnzJn799VfcvHkTK1eurHNfALBw4UJ4e3vjk08+wbfffou+fftCX18fo0aNwnvvvYe7d+9i5cqVyMvL01i2Lu8ltdW+fXuMGjUKixcvho6ODnr37o2UlBQsXrwYSqUSLVr83/WO2p5P2dPiDd3URFU+5VA56OvrCysrK9GzZ0+xYMGCap/GqfrkV0JCghgyZIhwdHQUBgYGwsLCQvTs2VPtaSMhhIiLixOdO3cWBgYGak9GVK7v5s2bj92WEA+eRhowYIDYvn27aN++vdDX1xdOTk5iyZIlGstfunRJBAYGCjMzM9G6dWsRFhYm9u3bp/Fkz61bt8SwYcPEM888IxQKhdo2Uc3TcefPnxcDBw4USqVS6Ovri44dO4p169ap1VQ+HfP999+rTa98uqVqfXVOnDghevfuLUxMTISRkZHw8fERP/74Y7Xre9xTZsuWLRMApK80qM6qVasEAPHDDz8IIf7vWFcFQEyePPmxfYSGhgoTExNx7tw50atXL2FkZCTMzc3FxIkTRVFRkdry1T1l9tlnnwknJydhYGAg3NzcxJo1a6p9TVTXz6PW+dtvv4nXXntNWFhYSI+SjxkzRty9e1equXnzppg6dapwdnYWenp6wtzcXHh6eoo5c+aIoqIicfny5WqfDhs8eLDQ19ev8Sm2kSNHCl1dXZGVlSWEeHBenJ2dhY6OjtrromfPnqJ9+/bV7lNtz0ltXj/vv/++8PLyEq1atRIGBgbi2WefFe+++67IycmRaupyHutyLjIyMsSbb74p2rRpI/T09ETr1q2Fn5+fmD9/vlTzqJ+jSseOHRMDBgwQ5ubmQk9PT7Rp00YMGDDgkfUPb7umn5vXXntN6OrqSl8P8uOPP4qOHTsKQ0ND0aZNG/G///u/4sCBA//oveRRT/lW9yTs3bt3xfTp04WVlZUwNDQUPj4+IiEhQSiVSvHuu+9KdbU5nySEQojHPC5ERESPtWjRIvznP/9BZmbmE70XqKkYM2YMtm/fjqKiIm23Qg+Jj49Ht27dsHnzZumJP6odBiIiIqozBiLti42NRUJCAjw9PWFkZIRff/0Vn332GZRKJc6dOyc9REK1w3uIiIiImiEzMzMcPHgQy5YtQ2FhISwtLREUFISIiAiGoXrgFSIiIiKSPT52T0RERLLHQERERESyx0BEREREssebqmupoqICf//9N0xNTev85XdERESkHUIIFBYWwtbWVu0LK6tiIKqlv//+W+MvmRMREVHzcO3atRr/kDMDUS2ZmpoCeHBAzczMtNwNERER1UZBQQHs7e2l3+OPwkBUS5Ufk5mZmTEQERERNTOPu92FN1UTERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkezparsBAq5evYqcnBxtt6EVlpaWcHBw0HYbREQkcwxEWnb16lW84OaGkjt3tN2KVhgZG+NiaipDERERaRUDkZbl5OSg5M4dDJ+/ElbOLtpup1FlZ6Rj24cTkZOTw0BERERaxUDURFg5u6CNW0dtt0FERCRLWr2peuXKlejQoQPMzMxgZmYGX19fHDhwQJovhEB4eDhsbW1hZGSEXr16ISUlRW0dpaWlCAsLg6WlJUxMTDBo0CBcv35drSYvLw8hISFQKpVQKpUICQnB7du3G2MXiYiIqBnQaiCys7PDZ599hjNnzuDMmTPo3bs3XnnlFSn0LFq0CEuWLMGKFSuQmJgIa2tr9O3bF4WFhdI6pk2bhp07dyI6OhonT55EUVERgoODUV5eLtWMHj0aycnJiImJQUxMDJKTkxESEtLo+0tERERNk1Y/Mhs4cKDa+KeffoqVK1fi1KlTaNeuHZYtW4Y5c+Zg6NChAID169dDpVJhy5YtmDBhAvLz8xEZGYmNGzeiT58+AIBNmzbB3t4ecXFx6NevH1JTUxETE4NTp07B29sbALBmzRr4+voiLS0Nrq6ujbvTRERE1OQ0me8hKi8vR3R0NIqLi+Hr64uMjAxkZWUhMDBQqjEwMEDPnj0RHx8PAEhKSsL9+/fVamxtbeHu7i7VJCQkQKlUSmEIAHx8fKBUKqWa6pSWlqKgoEBtICIioqeT1gPR+fPn0bJlSxgYGODtt9/Gzp070a5dO2RlZQEAVCqVWr1KpZLmZWVlQV9fH61ataqxxsrKSmO7VlZWUk11IiIipHuOlEol7O3t/9F+EhERUdOl9UDk6uqK5ORknDp1ChMnTkRoaCh+++03ab5CoVCrF0JoTKuqak119Y9bz+zZs5Gfny8N165dq+0uERERUTOj9UCkr6+P5557Dl5eXoiIiEDHjh3xxRdfwNraGgA0ruJkZ2dLV42sra1x79495OXl1Vhz48YNje3evHlT4+rTwwwMDKSn3yoHIiIiejppPRBVJYRAaWkpnJ2dYW1tjdjYWGnevXv3cOzYMfj5+QEAPD09oaenp1aTmZmJCxcuSDW+vr7Iz8/H6dOnpZqff/4Z+fn5Ug0RERHJm1afMvvggw8QFBQEe3t7FBYWIjo6GkePHkVMTAwUCgWmTZuGBQsWwMXFBS4uLliwYAGMjY0xevRoAIBSqcTYsWMxY8YMWFhYwNzcHDNnzoSHh4f01Jmbmxv69++PcePGYfXq1QCA8ePHIzg4mE+YEREREQAtB6IbN24gJCQEmZmZUCqV6NChA2JiYtC3b18AwHvvvYeSkhJMmjQJeXl58Pb2xsGDB2FqaiqtY+nSpdDV1cXw4cNRUlKCgIAAREVFQUdHR6rZvHkzpk6dKj2NNmjQIKxYsaJxd5aIiIiaLIUQQmi7ieagoKAASqUS+fn5DXo/0dmzZ+Hp6Ykpm+Nk96c7/kr9FSte74OkpCR06dJF2+0QEdFTqLa/v5vcPUREREREjY2BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZI+BiIiIiGSPgYiIiIhkj4GIiIiIZE+rgSgiIgJdu3aFqakprKysMHjwYKSlpanVjBkzBgqFQm3w8fFRqyktLUVYWBgsLS1hYmKCQYMG4fr162o1eXl5CAkJgVKphFKpREhICG7fvv2kd5GIiIiaAa0GomPHjmHy5Mk4deoUYmNjUVZWhsDAQBQXF6vV9e/fH5mZmdKwf/9+tfnTpk3Dzp07ER0djZMnT6KoqAjBwcEoLy+XakaPHo3k5GTExMQgJiYGycnJCAkJaZT9JCIioqZNV5sbj4mJURtft24drKyskJSUhB49ekjTDQwMYG1tXe068vPzERkZiY0bN6JPnz4AgE2bNsHe3h5xcXHo168fUlNTERMTg1OnTsHb2xsAsGbNGvj6+iItLQ2urq5PaA+JiIioOWhS9xDl5+cDAMzNzdWmHz16FFZWVnj++ecxbtw4ZGdnS/OSkpJw//59BAYGStNsbW3h7u6O+Ph4AEBCQgKUSqUUhgDAx8cHSqVSqqmqtLQUBQUFagMRERE9nZpMIBJCYPr06XjppZfg7u4uTQ8KCsLmzZtx+PBhLF68GImJiejduzdKS0sBAFlZWdDX10erVq3U1qdSqZCVlSXVWFlZaWzTyspKqqkqIiJCut9IqVTC3t6+oXaViIiImhitfmT2sClTpuDcuXM4efKk2vQRI0ZI/3Z3d4eXlxccHR2xb98+DB069JHrE0JAoVBI4w//+1E1D5s9ezamT58ujRcUFDAUERERPaWaxBWisLAw7NmzB0eOHIGdnV2NtTY2NnB0dER6ejoAwNraGvfu3UNeXp5aXXZ2NlQqlVRz48YNjXXdvHlTqqnKwMAAZmZmagMRERE9nbQaiIQQmDJlCnbs2IHDhw/D2dn5scvk5ubi2rVrsLGxAQB4enpCT08PsbGxUk1mZiYuXLgAPz8/AICvry/y8/Nx+vRpqebnn39Gfn6+VENERETypdWPzCZPnowtW7Zg9+7dMDU1le7nUSqVMDIyQlFREcLDw/Hqq6/CxsYGV65cwQcffABLS0sMGTJEqh07dixmzJgBCwsLmJubY+bMmfDw8JCeOnNzc0P//v0xbtw4rF69GgAwfvx4BAcH8wkzIiIi0m4gWrlyJQCgV69eatPXrVuHMWPGQEdHB+fPn8eGDRtw+/Zt2NjYwN/fH9999x1MTU2l+qVLl0JXVxfDhw9HSUkJAgICEBUVBR0dHalm8+bNmDp1qvQ02qBBg7BixYonv5NERETU5Gk1EAkhapxvZGSEn3766bHrMTQ0xPLly7F8+fJH1pibm2PTpk117pGIiIiefk3ipmoiIiIibWIgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItnTaiCKiIhA165dYWpqCisrKwwePBhpaWlqNUIIhIeHw9bWFkZGRujVqxdSUlLUakpLSxEWFgZLS0uYmJhg0KBBuH79ulpNXl4eQkJCoFQqoVQqERISgtu3bz/pXSQiIqJmQKuB6NixY5g8eTJOnTqF2NhYlJWVITAwEMXFxVLNokWLsGTJEqxYsQKJiYmwtrZG3759UVhYKNVMmzYNO3fuRHR0NE6ePImioiIEBwejvLxcqhk9ejSSk5MRExODmJgYJCcnIyQkpFH3l4iIiJomXW1uPCYmRm183bp1sLKyQlJSEnr06AEhBJYtW4Y5c+Zg6NChAID169dDpVJhy5YtmDBhAvLz8xEZGYmNGzeiT58+AIBNmzbB3t4ecXFx6NevH1JTUxETE4NTp07B29sbALBmzRr4+voiLS0Nrq6ujbvjRERE1KQ0qXuI8vPzAQDm5uYAgIyMDGRlZSEwMFCqMTAwQM+ePREfHw8ASEpKwv3799VqbG1t4e7uLtUkJCRAqVRKYQgAfHx8oFQqpZqqSktLUVBQoDYQERHR06nJBCIhBKZPn46XXnoJ7u7uAICsrCwAgEqlUqtVqVTSvKysLOjr66NVq1Y11lhZWWls08rKSqqpKiIiQrrfSKlUwt7e/p/tIBERETVZTSYQTZkyBefOncPWrVs15ikUCrVxIYTGtKqq1lRXX9N6Zs+ejfz8fGm4du1abXaDiIiImqEmEYjCwsKwZ88eHDlyBHZ2dtJ0a2trANC4ipOdnS1dNbK2tsa9e/eQl5dXY82NGzc0tnvz5k2Nq0+VDAwMYGZmpjYQERHR00mrgUgIgSlTpmDHjh04fPgwnJ2d1eY7OzvD2toasbGx0rR79+7h2LFj8PPzAwB4enpCT09PrSYzMxMXLlyQanx9fZGfn4/Tp09LNT///DPy8/OlGiIiIpIvrT5lNnnyZGzZsgW7d++GqampdCVIqVTCyMgICoUC06ZNw4IFC+Di4gIXFxcsWLAAxsbGGD16tFQ7duxYzJgxAxYWFjA3N8fMmTPh4eEhPXXm5uaG/v37Y9y4cVi9ejUAYPz48QgODuYTZkRERKTdQLRy5UoAQK9evdSmr1u3DmPGjAEAvPfeeygpKcGkSZOQl5cHb29vHDx4EKamplL90qVLoauri+HDh6OkpAQBAQGIioqCjo6OVLN582ZMnTpVehpt0KBBWLFixZPdQSIiImoWFEIIoe0mmoOCggIolUrk5+c36P1EZ8+ehaenJ6ZsjkMbt44Ntt7m4K/UX7Hi9T5ISkpCly5dtN0OERE9hWr7+7tJ3FRNREREpE0MRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR79QpEzz77LHJzczWm3759G88+++w/boqIiIioMdUrEF25cgXl5eUa00tLS/HXX3/946aIiIiIGpNuXYr37Nkj/funn36CUqmUxsvLy3Ho0CE4OTk1WHNEREREjaFOgWjw4MEAAIVCgdDQULV5enp6cHJywuLFixusOSIiIqLGUKdAVFFRAQBwdnZGYmIiLC0tn0hTRERERI2pToGoUkZGRkP3QURERKQ19QpEAHDo0CEcOnQI2dnZ0pWjSmvXrv3HjRERERE1lnoFonnz5uHjjz+Gl5cXbGxsoFAoGrovIiIiokZTr0C0atUqREVFISQkpKH7ISIiImp09foeonv37sHPz6+heyEiIiLSinoForfeegtbtmxp6F6IiIiItKJeH5ndvXsX33zzDeLi4tChQwfo6empzV+yZEmDNEdERETUGOoViM6dO4dOnToBAC5cuKA2jzdYExERUXNTr0B05MiRhu6DiIiISGvqdQ8RERER0dOkXleI/P39a/xo7PDhw/VuiIiIiKix1SsQVd4/VOn+/ftITk7GhQsXNP7oKxEREVFTV69AtHTp0mqnh4eHo6io6B81RERERNTYGvQeon/961/8O2ZERETU7DRoIEpISIChoWFDrpKIiIjoiavXR2ZDhw5VGxdCIDMzE2fOnMFHH33UII0RERERNZZ6BSKlUqk23qJFC7i6uuLjjz9GYGBggzRGRERE1FjqFYjWrVvX0H0QERERaU29AlGlpKQkpKamQqFQoF27dujcuXND9UVERETUaOoViLKzszFy5EgcPXoUzzzzDIQQyM/Ph7+/P6Kjo9G6deuG7pOIiIjoianXU2ZhYWEoKChASkoKbt26hby8PFy4cAEFBQWYOnVqQ/dIRERE9ETVKxDFxMRg5cqVcHNzk6a1a9cOX331FQ4cOFDr9Rw/fhwDBw6Era0tFAoFdu3apTZ/zJgxUCgUaoOPj49aTWlpKcLCwmBpaQkTExMMGjQI169fV6vJy8tDSEgIlEollEolQkJCcPv27TrvNxERET2d6hWIKioqoKenpzFdT08PFRUVtV5PcXExOnbsiBUrVjyypn///sjMzJSG/fv3q82fNm0adu7ciejoaJw8eRJFRUUIDg5GeXm5VDN69GgkJycjJiYGMTExSE5ORkhISK37JCIioqdbve4h6t27N9555x1s3boVtra2AIC//voL7777LgICAmq9nqCgIAQFBdVYY2BgAGtr62rn5efnIzIyEhs3bkSfPn0AAJs2bYK9vT3i4uLQr18/pKamIiYmBqdOnYK3tzcAYM2aNfD19UVaWhpcXV1r3S8RERE9nep1hWjFihUoLCyEk5MT2rZti+eeew7Ozs4oLCzE8uXLG7TBo0ePwsrKCs8//zzGjRuH7OxsaV5SUhLu37+v9t1Htra2cHd3R3x8PIAH356tVCqlMAQAPj4+UCqVUk11SktLUVBQoDYQERHR06leV4js7e1x9uxZxMbG4uLFixBCoF27dtJVmoYSFBSE1157DY6OjsjIyMBHH32E3r17IykpCQYGBsjKyoK+vj5atWqltpxKpUJWVhYAICsrC1ZWVhrrtrKykmqqExERgXnz5jXo/hAREVHTVKcrRIcPH0a7du2kqyV9+/ZFWFgYpk6diq5du6J9+/Y4ceJEgzU3YsQIDBgwAO7u7hg4cCAOHDiAS5cuYd++fTUuJ4SAQqGQxh/+96Nqqpo9ezby8/Ol4dq1a/XfESIiImrS6hSIli1bhnHjxsHMzExjnlKpxIQJE7BkyZIGa64qGxsbODo6Ij09HQBgbW2Ne/fuIS8vT60uOzsbKpVKqrlx44bGum7evCnVVMfAwABmZmZqAxERET2d6hSIfv31V/Tv3/+R8wMDA5GUlPSPm3qU3NxcXLt2DTY2NgAAT09P6OnpITY2VqrJzMzEhQsX4OfnBwDw9fVFfn4+Tp8+LdX8/PPPyM/Pl2qIiIhI3up0D9GNGzeqfdxeWpmuLm7evFnr9RUVFeHy5cvSeEZGBpKTk2Fubg5zc3OEh4fj1VdfhY2NDa5cuYIPPvgAlpaWGDJkCIAHV6XGjh2LGTNmwMLCAubm5pg5cyY8PDyk+5nc3NzQv39/jBs3DqtXrwYAjB8/HsHBwXzCjIiIiADUMRC1adMG58+fx3PPPVft/HPnzklXb2rjzJkz8Pf3l8anT58OAAgNDcXKlStx/vx5bNiwAbdv34aNjQ38/f3x3XffwdTUVFpm6dKl0NXVxfDhw1FSUoKAgABERUVBR0dHqtm8eTOmTp0qPY02aNCgGr/7iIiIiOSlToHo5Zdfxr///W8EBQXB0NBQbV5JSQnmzp2L4ODgWq+vV69eEEI8cv5PP/302HUYGhpi+fLlNT7ub25ujk2bNtW6LyIiIpKXOgWiDz/8EDt27MDzzz+PKVOmwNXVFQqFAqmpqfjqq69QXl6OOXPmPKleiYiIiJ6IOgUilUqF+Ph4TJw4EbNnz5au7igUCvTr1w9ff/11jU9uERERETVFdf5iRkdHR+zfvx95eXm4fPkyhBBwcXHR+HJEIiIiouaiXt9UDQCtWrVC165dG7IXIiIiIq2o198yIyIiInqaMBARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsMRARERGR7DEQERERkewxEBEREZHsaTUQHT9+HAMHDoStrS0UCgV27dqlNl8IgfDwcNja2sLIyAi9evVCSkqKWk1paSnCwsJgaWkJExMTDBo0CNevX1erycvLQ0hICJRKJZRKJUJCQnD79u0nvHdERETUXGg1EBUXF6Njx45YsWJFtfMXLVqEJUuWYMWKFUhMTIS1tTX69u2LwsJCqWbatGnYuXMnoqOjcfLkSRQVFSE4OBjl5eVSzejRo5GcnIyYmBjExMQgOTkZISEhT3z/iIiIqHnQ1ebGg4KCEBQUVO08IQSWLVuGOXPmYOjQoQCA9evXQ6VSYcuWLZgwYQLy8/MRGRmJjRs3ok+fPgCATZs2wd7eHnFxcejXrx9SU1MRExODU6dOwdvbGwCwZs0a+Pr6Ii0tDa6uro2zs0RERNRkNdl7iDIyMpCVlYXAwEBpmoGBAXr27In4+HgAQFJSEu7fv69WY2trC3d3d6kmISEBSqVSCkMA4OPjA6VSKdVUp7S0FAUFBWoDERERPZ2abCDKysoCAKhUKrXpKpVKmpeVlQV9fX20atWqxhorKyuN9VtZWUk11YmIiJDuOVIqlbC3t/9H+0NERERNV5MNRJUUCoXauBBCY1pVVWuqq3/cembPno38/HxpuHbtWh07JyIiouaiyQYia2trANC4ipOdnS1dNbK2tsa9e/eQl5dXY82NGzc01n/z5k2Nq08PMzAwgJmZmdpARERET6cmG4icnZ1hbW2N2NhYadq9e/dw7Ngx+Pn5AQA8PT2hp6enVpOZmYkLFy5INb6+vsjPz8fp06elmp9//hn5+flSDREREcmbVp8yKyoqwuXLl6XxjIwMJCcnw9zcHA4ODpg2bRoWLFgAFxcXuLi4YMGCBTA2Nsbo0aMBAEqlEmPHjsWMGTNgYWEBc3NzzJw5Ex4eHtJTZ25ubujfvz/GjRuH1atXAwDGjx+P4OBgPmFGREREALQciM6cOQN/f39pfPr06QCA0NBQREVF4b333kNJSQkmTZqEvLw8eHt74+DBgzA1NZWWWbp0KXR1dTF8+HCUlJQgICAAUVFR0NHRkWo2b96MqVOnSk+jDRo06JHffURERETyoxBCCG030RwUFBRAqVQiPz+/Qe8nOnv2LDw9PTFlcxzauHVssPU2B3+l/ooVr/dBUlISunTpou12iIjoKVTb399N9h4iIiIiosai1Y/MiIiISN3Vq1eRk5Oj7TYanaWlJRwcHLS2fQYiIiKiJuLq1at4wc0NJXfuaLuVRmdkbIyLqalaC0UMRERERE1ETk4OSu7cwfD5K2Hl7KLtdhpNdkY6tn04ETk5OQxERERE9ICVs4vsHrTRNt5UTURERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESyx0BEREREssdARERERLLHQERERESy16QDUXh4OBQKhdpgbW0tzRdCIDw8HLa2tjAyMkKvXr2QkpKito7S0lKEhYXB0tISJiYmGDRoEK5fv97Yu0JERERNWJMORADQvn17ZGZmSsP58+eleYsWLcKSJUuwYsUKJCYmwtraGn379kVhYaFUM23aNOzcuRPR0dE4efIkioqKEBwcjPLycm3sDhERETVButpu4HF0dXXVrgpVEkJg2bJlmDNnDoYOHQoAWL9+PVQqFbZs2YIJEyYgPz8fkZGR2LhxI/r06QMA2LRpE+zt7REXF4d+/fo16r4QERFR09TkrxClp6fD1tYWzs7OGDlyJP744w8AQEZGBrKyshAYGCjVGhgYoGfPnoiPjwcAJCUl4f79+2o1tra2cHd3l2oepbS0FAUFBWoDERERPZ2a9BUib29vbNiwAc8//zxu3LiB+fPnw8/PDykpKcjKygIAqFQqtWVUKhX+/PNPAEBWVhb09fXRqlUrjZrK5R8lIiIC8+bNa8C9ISKSl6tXryInJ0fbbTQ6S0tLODg4aLsNqqMmHYiCgoKkf3t4eMDX1xdt27bF+vXr4ePjAwBQKBRqywghNKZVVZua2bNnY/r06dJ4QUEB7O3t67oLRESydPXqVbzg5oaSO3e03UqjMzI2xsXUVIaiZqZJB6KqTExM4OHhgfT0dAwePBjAg6tANjY2Uk12drZ01cja2hr37t1DXl6e2lWi7Oxs+Pn51bgtAwMDGBgYNPxOEBHJQE5ODkru3MHw+Sth5eyi7XYaTXZGOrZ9OBE5OTkMRM1MswpEpaWlSE1NRffu3eHs7Axra2vExsaic+fOAIB79+7h2LFjWLhwIQDA09MTenp6iI2NxfDhwwEAmZmZuHDhAhYtWqS1/SAikgsrZxe0ceuo7TaIHqtJB6KZM2di4MCBcHBwQHZ2NubPn4+CggKEhoZCoVBg2rRpWLBgAVxcXODi4oIFCxbA2NgYo0ePBgAolUqMHTsWM2bMgIWFBczNzTFz5kx4eHhIT50RERERNelAdP36dYwaNQo5OTlo3bo1fHx8cOrUKTg6OgIA3nvvPZSUlGDSpEnIy8uDt7c3Dh48CFNTU2kdS5cuha6uLoYPH46SkhIEBAQgKioKOjo62totIiIiamKadCCKjo6ucb5CoUB4eDjCw8MfWWNoaIjly5dj+fLlDdwdERERPS2a/PcQERERET1pDEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHsMRERERCR7DEREREQkewxEREREJHu62m6AiKg5uHr1KnJycrTdRqOztLSEg4ODttsgeuIYiIiIHuPq1at4wc0NJXfuaLuVRmdkbIyLqakMRfTUYyAiInqMnJwclNy5g+HzV8LK2UXb7TSa7Ix0bPtwInJychiI6KnHQEREVEtWzi5o49ZR220Q0RPAm6qJiIhI9hiIiIiISPYYiIiIiEj2GIiIiIhI9hiIiIiISPYYiIiIiEj2GIiIiIhI9hiIiIiISPb4xYzUbPFvSxERUUNhIKJmiX9bin9bioioITEQUbPEvy1V/78txStrRESaGIioWePflqobXlnjlTUiqh4DEZGM8Moa/2o7EVWPgYhIhnhljYhIHR+7JyIiItljICIiIiLZYyAiIiIi2WMgIiIiItljICIiIiLZYyAiIiIi2WMgIiIiItmTVSD6+uuv4ezsDENDQ3h6euLEiRPabomIiIiaANkEou+++w7Tpk3DnDlz8Msvv6B79+4ICgrC1atXtd0aERERaZlsAtGSJUswduxYvPXWW3Bzc8OyZctgb2+PlStXars1IiIi0jJZBKJ79+4hKSkJgYGBatMDAwMRHx+vpa6IiIioqZDF3zLLyclBeXk5VCqV2nSVSoWsrKxqlyktLUVpaak0np+fDwAoKCho0N6KiooAAH+lnsO9O8UNuu6m7uafvwN4cAzqelzletz+yTGrXA7gcasrHjf+jNYWX2v180+PW00q1yeEqLlQyMBff/0lAIj4+Hi16fPnzxeurq7VLjN37lwBgAMHDhw4cODwFAzXrl2rMSvI4gqRpaUldHR0NK4GZWdna1w1qjR79mxMnz5dGq+oqMCtW7dgYWEBhULxRPttLAUFBbC3t8e1a9dgZmam7XaaDR63+uFxqx8et7rjMaufp/W4CSFQWFgIW1vbGutkEYj09fXh6emJ2NhYDBkyRJoeGxuLV155pdplDAwMYGBgoDbtmWeeeZJtao2ZmdlT9eJvLDxu9cPjVj88bnXHY1Y/T+NxUyqVj62RRSACgOnTpyMkJAReXl7w9fXFN998g6tXr+Ltt9/WdmtERESkZbIJRCNGjEBubi4+/vhjZGZmwt3dHfv374ejo6O2WyMiIiItk00gAoBJkyZh0qRJ2m6jyTAwMMDcuXM1PhqkmvG41Q+PW/3wuNUdj1n9yP24KYR43HNoRERERE83WXwxIxEREVFNGIiIiIhI9hiIiIiISPYYiIiIiEj2GIhk7Ouvv4azszMMDQ3h6emJEydOaLulJu348eMYOHAgbG1toVAosGvXLm231ORFRESga9euMDU1hZWVFQYPHoy0tDRtt9XkrVy5Eh06dJC+IM/X1xcHDhzQdlvNTkREBBQKBaZNm6btVpq08PBwKBQKtcHa2lrbbTU6BiKZ+u677zBt2jTMmTMHv/zyC7p3746goCBcvXpV2601WcXFxejYsSNWrFih7VaajWPHjmHy5Mk4deoUYmNjUVZWhsDAQBQXy+ePVtaHnZ0dPvvsM5w5cwZnzpxB79698corryAlJUXbrTUbiYmJ+Oabb9ChQwdtt9IstG/fHpmZmdJw/vx5bbfU6PjYvUx5e3ujS5cuWLlypTTNzc0NgwcPRkREhBY7ax4UCgV27tyJwYMHa7uVZuXmzZuwsrLCsWPH0KNHD22306yYm5vj888/x9ixY7XdSpNXVFSELl264Ouvv8b8+fPRqVMnLFu2TNttNVnh4eHYtWsXkpOTtd2KVvEKkQzdu3cPSUlJCAwMVJseGBiI+Ph4LXVFcpCfnw/gwS93qp3y8nJER0ejuLgYvr6+2m6nWZg8eTIGDBiAPn36aLuVZiM9PR22trZwdnbGyJEj8ccff2i7pUYnq2+qpgdycnJQXl4OlUqlNl2lUiErK0tLXdHTTgiB6dOn46WXXoK7u7u222nyzp8/D19fX9y9exctW7bEzp070a5dO2231eRFR0fj7NmzSExM1HYrzYa3tzc2bNiA559/Hjdu3MD8+fPh5+eHlJQUWFhYaLu9RsNAJGMKhUJtXAihMY2ooUyZMgXnzp3DyZMntd1Ks+Dq6ork5GTcvn0bP/zwA0JDQ3Hs2DGGohpcu3YN77zzDg4ePAhDQ0Ntt9NsBAUFSf/28PCAr68v2rZti/Xr12P69Ola7KxxMRDJkKWlJXR0dDSuBmVnZ2tcNSJqCGFhYdizZw+OHz8OOzs7bbfTLOjr6+O5554DAHh5eSExMRFffPEFVq9ereXOmq6kpCRkZ2fD09NTmlZeXo7jx49jxYoVKC0thY6OjhY7bB5MTEzg4eGB9PR0bbfSqHgPkQzp6+vD09MTsbGxatNjY2Ph5+enpa7oaSSEwJQpU7Bjxw4cPnwYzs7O2m6p2RJCoLS0VNttNGkBAQE4f/48kpOTpcHLywuvv/46kpOTGYZqqbS0FKmpqbCxsdF2K42KV4hkavr06QgJCYGXlxd8fX3xzTff4OrVq3j77be13VqTVVRUhMuXL0vjGRkZSE5Ohrm5ORwcHLTYWdM1efJkbNmyBbt374apqal0VVKpVMLIyEjL3TVdH3zwAYKCgmBvb4/CwkJER0fj6NGjiImJ0XZrTZqpqanG/WkmJiawsLDgfWs1mDlzJgYOHAgHBwdkZ2dj/vz5KCgoQGhoqLZba1QMRDI1YsQI5Obm4uOPP0ZmZibc3d2xf/9+ODo6aru1JuvMmTPw9/eXxis/Ww8NDUVUVJSWumraKr/WoVevXmrT161bhzFjxjR+Q83EjRs3EBISgszMTCiVSnTo0AExMTHo27evtlujp9D169cxatQo5OTkoHXr1vDx8cGpU6dk9/uA30NEREREssd7iIiIiEj2GIiIiIhI9hiIiIiISPYYiIiIiEj2GIiIiIhI9hiIiIiISPYYiIiIiEj2GIiInhK9evXCtGnTaqxxcnLCsmXLGqUf+j9XrlyBQqFAcnKytltpFHydUXPEQESkBfHx8dDR0UH//v0bdbuJiYkYP358o26ztqKiouDj46M2bcuWLdDR0an2T8qMGTMGgwcPbqTuni5RUVFQKBTSoFKpMHDgQKSkpNR5Pc8884zG9Kb8OiN6FAYiIi1Yu3YtwsLCcPLkSVy9erXRttu6dWsYGxs32vbqYs+ePXjllVfUpq1duxbvvfceoqOjcefOHS111nTdu3ev3suamZkhMzMTf//9N/bt24fi4mIMGDDgH62zUlN+nRE9CgMRUSMrLi7Gtm3bMHHiRAQHB2v8HbSjR49CoVDgp59+QufOnWFkZITevXsjOzsbBw4cgJubG8zMzDBq1CiNkFBWVoYpU6bgmWeegYWFBT788EM8/Nd5qn6UsWTJEnh4eMDExAT29vaYNGkSioqKpPmVVwB++uknuLm5oWXLlujfvz8yMzPVtrt27Vq0b98eBgYGsLGxwZQpU6R5+fn5GD9+PKysrGBmZobevXvj119/VVv+7t27OHjwIAYNGiRNu3LlCuLj4/H+++/jhRdewPbt26V54eHhWL9+PXbv3i1d5Th69Kj00dS2bdvQvXt3GBkZoWvXrrh06RISExPh5eUl7cPNmzel9VVUVODjjz+GnZ0dDAwM0KlTJ7U/pHrv3j1MmTIFNjY2MDQ0hJOTEyIiIqT5CoUCK1euRFBQEIyMjODs7Izvv/9e49z/8ccf8Pf3h7GxMTp27IiEhAS1+fHx8ejRoweMjIxgb2+PqVOnori4WO38zZ8/H2PGjIFSqcS4ceNqtVx1FAoFrK2tYWNjAy8vL7z77rv4888/kZaWJtXU9Po4evQo/ud//gf5+fnSOQgPD5f6fPh1plAo8O2332LIkCEwNjaGi4sL9uzZo9bPnj174OLiAiMjI/j7+2P9+vVQKBS4fft2jftB1GAEETWqyMhI4eXlJYQQ4scffxROTk6ioqJCmn/kyBEBQPj4+IiTJ0+Ks2fPiueee0707NlTBAYGirNnz4rjx48LCwsL8dlnn0nL9ezZU7Rs2VK888474uLFi2LTpk3C2NhYfPPNN1KNo6OjWLp0qTS+dOlScfjwYfHHH3+IQ4cOCVdXVzFx4kRp/rp164Senp7o06ePSExMFElJScLNzU2MHj1aqvn666+FoaGhWLZsmUhLSxOnT5+WtlFRUSG6desmBg4cKBITE8WlS5fEjBkzhIWFhcjNzZXWsXfvXtG2bVu14/TRRx+JYcOGCSGEWL58uejRo4c0r7CwUAwfPlz0799fZGZmiszMTFFaWioyMjIEAPHCCy+ImJgY8dtvvwkfHx/RpUsX0atXL7Xj+fbbb0vrW7JkiTAzMxNbt24VFy9eFO+9957Q09MTly5dEkII8fnnnwt7e3tx/PhxceXKFXHixAmxZcsWaXkAwsLCQqxZs0akpaWJDz/8UOjo6IjffvtNCCHU+tq7d69IS0sTw4YNE46OjuL+/ftCCCHOnTsnWrZsKZYuXSouXbok/vvf/4rOnTuLMWPGqJ0/MzMz8fnnn4v09HSRnp5eq+WqWrdunVAqldJ4Xl6eGDlypAAgUlNTa/X6KC0tFcuWLRNmZmbSOSgsLKz2dQZA2NnZiS1btoj09HQxdepU0bJlS+k1kJGRIfT09MTMmTPFxYsXxdatW0WbNm0EAJGXl/fI/SBqSAxERI3Mz89PLFu2TAghxP3794WlpaWIjY2V5lcGori4OGlaRESEACB+//13adqECRNEv379pPGePXsKNzc3tXA1a9Ys4ebmJo1X/UVV1bZt24SFhYU0vm7dOgFAXL58WZr21VdfCZVKJY3b2tqKOXPmVLu+Q4cOCTMzM3H37l216W3bthWrV6+WxseNGyemT58ujZeXlwt7e3uxa9cuIYQQN2/eFHp6eiI9PV2qCQ0NFa+88oraeiuDx7fffitN27p1qwAgDh06JE2LiIgQrq6uavvw6aefqq2ra9euYtKkSUIIIcLCwkTv3r3Vju3DAKgFLCGE8Pb2lsJDdX2lpKSoBZCQkBAxfvx4tXWcOHFCtGjRQpSUlAghHpy/wYMHq9XUZrmqKs+riYmJMDY2FgAEADFo0KBq6ytV9/p4OFhVqi4Qffjhh9J4UVGRUCgU4sCBA0KIB69Td3d3tXXMmTOHgYgaFT8yI2pEaWlpOH36NEaOHAkA0NXVxYgRI7B27VqN2g4dOkj/VqlUMDY2xrPPPqs2LTs7W20ZHx8fKBQKadzX1xfp6ekoLy+vtp8jR46gb9++aNOmDUxNTfHGG28gNzdX7eMWY2NjtG3bVhq3sbGRtpudnY2///4bAQEB1a4/KSkJRUVFsLCwQMuWLaUhIyMDv//+OwBACIEff/xR7eOygwcPori4GEFBQQAAS0tLBAYGVnucqlP12AGAh4eH2rTKfSgoKMDff/+Nbt26qa2jW7duSE1NBfDgBu7k5GS4urpi6tSpOHjwoMY2fX19NcYrl6+uLxsbGwCQ+khKSkJUVJTacerXrx8qKiqQkZEhLefl5aW2ztouV5WpqSmSk5ORlJSEVatWoW3btli1apVaTW1eH7X18L6bmJjA1NRU2ve0tDR07dpVrf7FF1+s8zaI/gldbTdAJCeRkZEoKytDmzZtpGlCCOjp6SEvLw+tWrWSpuvp6Un/VigUauOV0yoqKurdy59//omXX34Zb7/9Nj755BOYm5vj5MmTGDt2LO7fv19tH5XbFf//viQjI6Mat1FRUQEbGxscPXpUY17l00mnT5/GvXv38NJLL0nz1q5di1u3bqndmFtRUYFffvkFn3zyCXR0dGrcbtVjV920qsfu4SAJPDgvldO6dOmCjIwMHDhwAHFxcRg+fDj69Omjdl9Tdaqus7q+KvuoqKjAhAkTMHXqVI31ODg4SP82MTFRm1fb5apq0aIFnnvuOQDACy+8gKysLIwYMQLHjx8HUPvXR23V9Pp9+FhXEg/d+0bUGBiIiBpJWVkZNmzYgMWLFyMwMFBt3quvvorNmzer3YxcH6dOndIYd3FxqTZAnDlzBmVlZVi8eDFatHhwsXjbtm112p6pqSmcnJxw6NAh+Pv7a8zv0qULsrKyoKurCycnp2rXsXv3bgwYMEDqMTc3F7t370Z0dDTat28v1VVUVKB79+44cOAAgoODoa+v/8grX3VhZmYGW1tbnDx5Ej169JCmx8fHq12lMDMzw4gRIzBixAgMGzYM/fv3x61bt2Bubg7gwbF+4403pPpTp06hc+fOte6jS5cuSElJkULKk16uqnfffRdLlizBzp07MWTIkFq9PhrqHLzwwgvYv3+/2rQzZ8784/US1QU/MiNqJHv37kVeXh7Gjh0Ld3d3tWHYsGGIjIz8x9u4du0apk+fjrS0NGzduhXLly/HO++8U21t27ZtUVZWhuXLl+OPP/7Axo0bNT4yqY3w8HAsXrwYX375JdLT03H27FksX74cANCnTx/4+vpi8ODB+Omnn6Qnxz788EPpF17Vx+03btwICwsLvPbaa2rHqEOHDggODpaOk5OTE86dO4e0tDTk5OTU66pFpf/93//FwoUL8d133yEtLQ3vv/8+kpOTpWO3dOlSREdH4+LFi7h06RK+//57WFtbq30Hz/fff4+1a9fi0qVLmDt3Lk6fPl2ngDtr1iwkJCRg8uTJSE5ORnp6Ovbs2YOwsLAnslxVZmZmeOuttzB37lwIIWr1+nByckJRUREOHTqEnJycen81woQJE3Dx4kXMmjULly5dwrZt26SnL6teOSJ6UhiIiBpJZGQk+vTpA6VSqTHv1VdfRXJyMs6ePfuPtvHGG2+gpKQEL774IiZPnoywsLBHfkFep06dsGTJEixcuBDu7u7YvHmz2qPktRUaGoply5bh66+/Rvv27REcHIz09HQAD36Z7d+/Hz169MCbb76J559/HiNHjsSVK1egUqnw+++/4/Lly+jXr5+0vrVr12LIkCHSVYmHvfrqq9i7dy9u3LiBcePGwdXVFV5eXmjdujX++9//1rn3SlOnTsWMGTMwY8YMeHh4ICYmRnoMHABatmyJhQsXwsvLC127dsWVK1ewf/9+tR7nzZuH6OhodOjQAevXr8fmzZvRrl27WvfQoUMHHDt2DOnp6ejevTs6d+6Mjz76SLrXqKGXq84777yD1NRUfP/997V6ffj5+eHtt9/GiBEj0Lp1ayxatKjO2wQAZ2dnbN++HTt27ECHDh2wcuVKzJkzBwBgYGBQr3US1ZVC8INaItKSJUuWIC4uTuPjkuZGoVBg586d/ObsBvTpp59i1apVuHbtmrZbIZngPUREpDV2dnaYPXu2ttugJuDrr79G165dYWFhgf/+97/4/PPP//E9dUR1wUBERFozfPhwbbdATUR6ejrmz5+PW7duwcHBATNmzGBYpkbFj8yIiIhI9nhTNREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyR4DEREREckeAxERERHJHgMRERERyd7/A7MsSmq+QqjlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_service = labelled_zeros['Ambiance/Atmosphere'].value_counts()\n",
    "plt.bar(rating_service.index, rating_service.values, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Ambiance/Atmosphere Rating')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Ambiance/Atmosphere Ratings')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3a70ce7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_service = labelled_zeros['Wait Time'].value_counts()\n",
    "plt.bar(rating_service.index, rating_service.values, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Wait Time Rating')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Wait Time Ratings')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "9ad5099e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_service = labelled_zeros['Price'].value_counts()\n",
    "plt.bar(rating_service.index, rating_service.values, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Price Rating')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Price Ratings')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "bfb507bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rating_service = labelled_zeros['Menu Variety'].value_counts()\n",
    "plt.bar(rating_service.index, rating_service.values, color='skyblue', edgecolor='black')\n",
    "plt.xlabel('Menu Variety Rating')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of Menu Variety Ratings')\n",
    "plt.show()"
   ]
  }
 ],
 "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",
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