EDA_Yelp_Business_Rabia.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMpzg5cPVmPH5K5z1oM8UwQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/EAName/yelp-reviews/blob/main/EDA_Yelp_Business_Rabia.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2j_giSvUJwoi",
        "outputId": "8baade69-35f6-424f-f63f-d8320f651366"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# !python -m pip install basemap\n"
      ],
      "metadata": {
        "id": "eGQoB44eKccO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#!python -m pip install basemap-data-hires"
      ],
      "metadata": {
        "id": "OBSde4zsLUCQ"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib\n",
        "from matplotlib import pyplot as plt\n",
        "import seaborn as sns\n",
        "import statistics\n",
        "\n",
        "#from mpl_toolkits.basemap import Basemap\n",
        "\n",
        "%matplotlib inline"
      ],
      "metadata": {
        "id": "PnJOjt5MJ4PM"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df =pd.read_csv('/content/gdrive/MyDrive/yelp_dataset/yelp_business_clean_version1.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W7hsgOWlKtHP",
        "outputId": "3c2cad3b-6a70-4eff-fe53-25d07ad42591"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py:3326: DtypeWarning: Columns (43,44,45,46) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.iloc[:,1:]"
      ],
      "metadata": {
        "id": "yIeuBRnnnPRj"
      },
      "execution_count": 59,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pd.set_option('display.max_columns', None)\n",
        "pd.set_option('display.max_rows', None)\n"
      ],
      "metadata": {
        "id": "ZSTdakIhelFH"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "id": "1-nl3oponRXu",
        "outputId": "b456cc3a-1add-4ee2-967f-83f71026bf90"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              business_id                   name            address  \\\n",
              "0  k0hlBqXX-Bt0vf1op7Jr1w  Tsevi's Pub And Grill  8025 Mackenzie Rd   \n",
              "1  il_Ro8jwPlHresjw9EGmBg                Denny's       8901 US 31 S   \n",
              "2  MUTTqe8uqyMdBl186RmNeA               Tuna Bar        205 Race St   \n",
              "3  ROeacJQwBeh05Rqg7F6TCg                    BAP      1224 South St   \n",
              "4  kfNv-JZpuN6TVNSO6hHdkw        Hibachi Express     6625 E 82nd St   \n",
              "\n",
              "           city state  postal_code   latitude  longitude  stars  review_count  \\\n",
              "0        Affton    MO      63123.0  38.565165 -90.321087    3.0            19   \n",
              "1  Indianapolis    IN      46227.0  39.637133 -86.127217    2.5            28   \n",
              "2  Philadelphia    PA      19106.0  39.953949 -75.143226    4.0           245   \n",
              "3  Philadelphia    PA      19147.0  39.943223 -75.162568    4.5           205   \n",
              "4  Indianapolis    IN      46250.0  39.904320 -86.053080    4.0            20   \n",
              "\n",
              "   is_open                                         attributes  \\\n",
              "0        0  {'Caters': 'True', 'Alcohol': \"u'full_bar'\", '...   \n",
              "1        1  {'RestaurantsReservations': 'False', 'Restaura...   \n",
              "2        1  {'RestaurantsReservations': 'True', 'Restauran...   \n",
              "3        1  {'NoiseLevel': \"u'quiet'\", 'GoodForMeal': \"{'d...   \n",
              "4        1  {'RestaurantsDelivery': 'True', 'RestaurantsTa...   \n",
              "\n",
              "                                          categories  \\\n",
              "0  Pubs, Restaurants, Italian, Bars, American (Tr...   \n",
              "1  American (Traditional), Restaurants, Diners, B...   \n",
              "2                  Sushi Bars, Restaurants, Japanese   \n",
              "3                                Korean, Restaurants   \n",
              "4             Steakhouses, Asian Fusion, Restaurants   \n",
              "\n",
              "                                               hours        market Caters  \\\n",
              "0                                                NaN     St. Louis   True   \n",
              "1  {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...  Indianapolis    NaN   \n",
              "2  {'Tuesday': '13:30-22:0', 'Wednesday': '13:30-...  Philadelphia    NaN   \n",
              "3  {'Monday': '11:30-20:30', 'Tuesday': '11:30-20...  Philadelphia   True   \n",
              "4  {'Monday': '11:0-21:0', 'Tuesday': '11:0-21:0'...  Indianapolis    NaN   \n",
              "\n",
              "  RestaurantsDelivery RestaurantsTakeOut  HasTV BusinessAcceptsCreditCards  \\\n",
              "0               False               True   True                       True   \n",
              "1                True               True   True                       True   \n",
              "2                True               True  False                       True   \n",
              "3                 NaN               True   True                       True   \n",
              "4                True               True    NaN                        NaN   \n",
              "\n",
              "  OutdoorSeating                                    BusinessParking  \\\n",
              "0           True  {'garage': False, 'street': False, 'validated'...   \n",
              "1          False  {'garage': None, 'street': False, 'validated':...   \n",
              "2           True  {u'valet': False, u'garage': None, u'street': ...   \n",
              "3            NaN  {'garage': False, 'street': True, 'validated':...   \n",
              "4            NaN                                                NaN   \n",
              "\n",
              "                                            Ambience  RestaurantsPriceRange2  \\\n",
              "0  {'romantic': False, 'intimate': False, 'touris...                     1.0   \n",
              "1  {'touristy': None, 'hipster': None, 'romantic'...                     1.0   \n",
              "2  {'touristy': False, 'hipster': False, 'romanti...                     2.0   \n",
              "3  {'touristy': False, 'hipster': False, 'romanti...                     1.0   \n",
              "4                                                NaN                     2.0   \n",
              "\n",
              "  GoodForKids RestaurantsReservations RestaurantsGoodForGroups BikeParking  \\\n",
              "0        True                   False                     True         NaN   \n",
              "1        True                   False                     True       False   \n",
              "2       False                    True                     True         NaN   \n",
              "3        True                   False                    False        True   \n",
              "4         NaN                     NaN                      NaN         NaN   \n",
              "\n",
              "                                         GoodForMeal DogsAllowed HappyHour  \\\n",
              "0                                                NaN         NaN       NaN   \n",
              "1  {'dessert': False, 'latenight': False, 'lunch'...         NaN       NaN   \n",
              "2  {'dessert': True, 'latenight': None, 'lunch': ...       False      True   \n",
              "3  {'dessert': False, 'latenight': False, 'lunch'...         NaN       NaN   \n",
              "4                                                NaN         NaN       NaN   \n",
              "\n",
              "  WheelchairAccessible RestaurantsTableService BusinessAcceptsBitcoin Music  \\\n",
              "0                  NaN                     NaN                    NaN   NaN   \n",
              "1                  NaN                     NaN                    NaN   NaN   \n",
              "2                 True                    True                    NaN   NaN   \n",
              "3                  NaN                    True                    NaN   NaN   \n",
              "4                  NaN                     NaN                    NaN   NaN   \n",
              "\n",
              "  GoodForDancing CoatCheck BestNights BYOB ByAppointmentOnly DriveThru  \\\n",
              "0            NaN       NaN        NaN  NaN               NaN       NaN   \n",
              "1            NaN       NaN        NaN  NaN               NaN       NaN   \n",
              "2            NaN       NaN        NaN  NaN               NaN       NaN   \n",
              "3            NaN       NaN        NaN  NaN               NaN       NaN   \n",
              "4            NaN       NaN        NaN  NaN               NaN       NaN   \n",
              "\n",
              "  Corkage RestaurantsCounterService Open24Hours AcceptsInsurance  \\\n",
              "0     NaN                       NaN         NaN              NaN   \n",
              "1     NaN                       NaN         NaN              NaN   \n",
              "2     NaN                       NaN         NaN              NaN   \n",
              "3     NaN                       NaN         NaN              NaN   \n",
              "4     NaN                       NaN         NaN              NaN   \n",
              "\n",
              "  DietaryRestrictions  AgesAllowed_21plus  AgesAllowed_allages  Alcohol_None  \\\n",
              "0                 NaN                   0                    0             0   \n",
              "1                 NaN                   0                    0             1   \n",
              "2                 NaN                   0                    0             0   \n",
              "3                 NaN                   0                    0             1   \n",
              "4                 NaN                   0                    0             0   \n",
              "\n",
              "   Alcohol_beer_and_wine  Alcohol_full_bar  BYOBCorkage_no  \\\n",
              "0                      0                 1               0   \n",
              "1                      0                 0               0   \n",
              "2                      0                 1               0   \n",
              "3                      0                 0               0   \n",
              "4                      0                 0               0   \n",
              "\n",
              "   BYOBCorkage_yes_corkage  BYOBCorkage_yes_free  NoiseLevel_average  \\\n",
              "0                        0                     0                   1   \n",
              "1                        0                     0                   0   \n",
              "2                        0                     0                   1   \n",
              "3                        0                     0                   0   \n",
              "4                        0                     0                   0   \n",
              "\n",
              "   NoiseLevel_loud  NoiseLevel_quiet  NoiseLevel_very_loud  \\\n",
              "0                0                 0                     0   \n",
              "1                0                 0                     0   \n",
              "2                0                 0                     0   \n",
              "3                0                 1                     0   \n",
              "4                0                 0                     0   \n",
              "\n",
              "   RestaurantsAttire_casual  RestaurantsAttire_dressy  \\\n",
              "0                         1                         0   \n",
              "1                         1                         0   \n",
              "2                         1                         0   \n",
              "3                         1                         0   \n",
              "4                         0                         0   \n",
              "\n",
              "   RestaurantsAttire_formal  Smoking_no  Smoking_outdoor  Smoking_yes  \\\n",
              "0                         0           0                0            0   \n",
              "1                         0           0                0            0   \n",
              "2                         0           0                0            0   \n",
              "3                         0           0                0            0   \n",
              "4                         0           0                0            0   \n",
              "\n",
              "   WiFi_free  WiFi_no  WiFi_paid  \n",
              "0          1        0          0  \n",
              "1          0        1          0  \n",
              "2          1        0          0  \n",
              "3          0        1          0  \n",
              "4          0        0          0  "
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              "      <th>business_id</th>\n",
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              "      <th>HappyHour</th>\n",
              "      <th>WheelchairAccessible</th>\n",
              "      <th>RestaurantsTableService</th>\n",
              "      <th>BusinessAcceptsBitcoin</th>\n",
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              "      <th>BestNights</th>\n",
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              "      <th>0</th>\n",
              "      <td>k0hlBqXX-Bt0vf1op7Jr1w</td>\n",
              "      <td>Tsevi's Pub And Grill</td>\n",
              "      <td>8025 Mackenzie Rd</td>\n",
              "      <td>Affton</td>\n",
              "      <td>MO</td>\n",
              "      <td>63123.0</td>\n",
              "      <td>38.565165</td>\n",
              "      <td>-90.321087</td>\n",
              "      <td>3.0</td>\n",
              "      <td>19</td>\n",
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              "      <td>{'romantic': False, 'intimate': False, 'touris...</td>\n",
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              "      <td>Denny's</td>\n",
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              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46227.0</td>\n",
              "      <td>39.637133</td>\n",
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              "      <td>205 Race St</td>\n",
              "      <td>Philadelphia</td>\n",
              "      <td>PA</td>\n",
              "      <td>19106.0</td>\n",
              "      <td>39.953949</td>\n",
              "      <td>-75.143226</td>\n",
              "      <td>4.0</td>\n",
              "      <td>245</td>\n",
              "      <td>1</td>\n",
              "      <td>{'RestaurantsReservations': 'True', 'Restauran...</td>\n",
              "      <td>Sushi Bars, Restaurants, Japanese</td>\n",
              "      <td>{'Tuesday': '13:30-22:0', 'Wednesday': '13:30-...</td>\n",
              "      <td>Philadelphia</td>\n",
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              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
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              "      <td>{u'valet': False, u'garage': None, u'street': ...</td>\n",
              "      <td>{'touristy': False, 'hipster': False, 'romanti...</td>\n",
              "      <td>2.0</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ROeacJQwBeh05Rqg7F6TCg</td>\n",
              "      <td>BAP</td>\n",
              "      <td>1224 South St</td>\n",
              "      <td>Philadelphia</td>\n",
              "      <td>PA</td>\n",
              "      <td>19147.0</td>\n",
              "      <td>39.943223</td>\n",
              "      <td>-75.162568</td>\n",
              "      <td>4.5</td>\n",
              "      <td>205</td>\n",
              "      <td>1</td>\n",
              "      <td>{'NoiseLevel': \"u'quiet'\", 'GoodForMeal': \"{'d...</td>\n",
              "      <td>Korean, Restaurants</td>\n",
              "      <td>{'Monday': '11:30-20:30', 'Tuesday': '11:30-20...</td>\n",
              "      <td>Philadelphia</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>{'garage': False, 'street': True, 'validated':...</td>\n",
              "      <td>{'touristy': False, 'hipster': False, 'romanti...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>{'dessert': False, 'latenight': False, 'lunch'...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>kfNv-JZpuN6TVNSO6hHdkw</td>\n",
              "      <td>Hibachi Express</td>\n",
              "      <td>6625 E 82nd St</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>IN</td>\n",
              "      <td>46250.0</td>\n",
              "      <td>39.904320</td>\n",
              "      <td>-86.053080</td>\n",
              "      <td>4.0</td>\n",
              "      <td>20</td>\n",
              "      <td>1</td>\n",
              "      <td>{'RestaurantsDelivery': 'True', 'RestaurantsTa...</td>\n",
              "      <td>Steakhouses, Asian Fusion, Restaurants</td>\n",
              "      <td>{'Monday': '11:0-21:0', 'Tuesday': '11:0-21:0'...</td>\n",
              "      <td>Indianapolis</td>\n",
              "      <td>NaN</td>\n",
              "      <td>True</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "  </tbody>\n",
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          },
          "metadata": {},
          "execution_count": 60
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "yX2_mOgJL5HU",
        "outputId": "08265332-e6d2-41ea-fefc-97c3410cdfc4"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Unnamed: 0    postal_code      latitude     longitude         stars  \\\n",
              "count   35290.000000   35289.000000  35290.000000  35290.000000  35290.000000   \n",
              "mean    75241.345169   41769.045340     36.224552    -86.209418      3.589799   \n",
              "std     43459.794268   24841.179919      4.906649     12.729917      0.725472   \n",
              "min         8.000000    7836.000000     27.564457   -120.083748      1.000000   \n",
              "25%     37286.250000   19147.000000     30.038550    -90.089860      3.000000   \n",
              "50%     75482.000000   34606.000000     38.786073    -82.750033      3.500000   \n",
              "75%    112809.500000   63110.000000     39.950389    -75.288643      4.000000   \n",
              "max    150336.000000  336140.000000     43.773686    -74.664459      5.000000   \n",
              "\n",
              "       review_count       is_open  RestaurantsPriceRange2  AgesAllowed_21plus  \\\n",
              "count  35290.000000  35290.000000            30051.000000        35290.000000   \n",
              "mean     101.226353      0.627543                1.714718            0.000312   \n",
              "std      206.410720      0.483466                0.571400            0.017653   \n",
              "min        5.000000      0.000000                1.000000            0.000000   \n",
              "25%       16.000000      0.000000                1.000000            0.000000   \n",
              "50%       41.000000      1.000000                2.000000            0.000000   \n",
              "75%      109.000000      1.000000                2.000000            0.000000   \n",
              "max     7568.000000      1.000000                4.000000            1.000000   \n",
              "\n",
              "       AgesAllowed_allages  ...  NoiseLevel_very_loud  \\\n",
              "count         35290.000000  ...          35290.000000   \n",
              "mean              0.001474  ...              0.017484   \n",
              "std               0.038359  ...              0.131067   \n",
              "min               0.000000  ...              0.000000   \n",
              "25%               0.000000  ...              0.000000   \n",
              "50%               0.000000  ...              0.000000   \n",
              "75%               0.000000  ...              0.000000   \n",
              "max               1.000000  ...              1.000000   \n",
              "\n",
              "       RestaurantsAttire_casual  RestaurantsAttire_dressy  \\\n",
              "count              35290.000000              35290.000000   \n",
              "mean                   0.765146                  0.018787   \n",
              "std                    0.423914                  0.135775   \n",
              "min                    0.000000                  0.000000   \n",
              "25%                    1.000000                  0.000000   \n",
              "50%                    1.000000                  0.000000   \n",
              "75%                    1.000000                  0.000000   \n",
              "max                    1.000000                  1.000000   \n",
              "\n",
              "       RestaurantsAttire_formal    Smoking_no  Smoking_outdoor   Smoking_yes  \\\n",
              "count              35290.000000  35290.000000     35290.000000  35290.000000   \n",
              "mean                   0.001105      0.047776         0.034344      0.004165   \n",
              "std                    0.033226      0.213294         0.182114      0.064407   \n",
              "min                    0.000000      0.000000         0.000000      0.000000   \n",
              "25%                    0.000000      0.000000         0.000000      0.000000   \n",
              "50%                    0.000000      0.000000         0.000000      0.000000   \n",
              "75%                    0.000000      0.000000         0.000000      0.000000   \n",
              "max                    1.000000      1.000000         1.000000      1.000000   \n",
              "\n",
              "          WiFi_free       WiFi_no     WiFi_paid  \n",
              "count  35290.000000  35290.000000  35290.000000  \n",
              "mean       0.374610      0.350354      0.005639  \n",
              "std        0.484029      0.477088      0.074882  \n",
              "min        0.000000      0.000000      0.000000  \n",
              "25%        0.000000      0.000000      0.000000  \n",
              "50%        0.000000      0.000000      0.000000  \n",
              "75%        1.000000      1.000000      0.000000  \n",
              "max        1.000000      1.000000      1.000000  \n",
              "\n",
              "[8 rows x 29 columns]"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>postal_code</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>stars</th>\n",
              "      <th>review_count</th>\n",
              "      <th>is_open</th>\n",
              "      <th>RestaurantsPriceRange2</th>\n",
              "      <th>AgesAllowed_21plus</th>\n",
              "      <th>AgesAllowed_allages</th>\n",
              "      <th>...</th>\n",
              "      <th>NoiseLevel_very_loud</th>\n",
              "      <th>RestaurantsAttire_casual</th>\n",
              "      <th>RestaurantsAttire_dressy</th>\n",
              "      <th>RestaurantsAttire_formal</th>\n",
              "      <th>Smoking_no</th>\n",
              "      <th>Smoking_outdoor</th>\n",
              "      <th>Smoking_yes</th>\n",
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              "      <th>WiFi_no</th>\n",
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              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
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              "      <td>30051.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "      <td>35290.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>75241.345169</td>\n",
              "      <td>41769.045340</td>\n",
              "      <td>36.224552</td>\n",
              "      <td>-86.209418</td>\n",
              "      <td>3.589799</td>\n",
              "      <td>101.226353</td>\n",
              "      <td>0.627543</td>\n",
              "      <td>1.714718</td>\n",
              "      <td>0.000312</td>\n",
              "      <td>0.001474</td>\n",
              "      <td>...</td>\n",
              "      <td>0.017484</td>\n",
              "      <td>0.765146</td>\n",
              "      <td>0.018787</td>\n",
              "      <td>0.001105</td>\n",
              "      <td>0.047776</td>\n",
              "      <td>0.034344</td>\n",
              "      <td>0.004165</td>\n",
              "      <td>0.374610</td>\n",
              "      <td>0.350354</td>\n",
              "      <td>0.005639</td>\n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>43459.794268</td>\n",
              "      <td>24841.179919</td>\n",
              "      <td>4.906649</td>\n",
              "      <td>12.729917</td>\n",
              "      <td>0.725472</td>\n",
              "      <td>206.410720</td>\n",
              "      <td>0.483466</td>\n",
              "      <td>0.571400</td>\n",
              "      <td>0.017653</td>\n",
              "      <td>0.038359</td>\n",
              "      <td>...</td>\n",
              "      <td>0.131067</td>\n",
              "      <td>0.423914</td>\n",
              "      <td>0.135775</td>\n",
              "      <td>0.033226</td>\n",
              "      <td>0.213294</td>\n",
              "      <td>0.182114</td>\n",
              "      <td>0.064407</td>\n",
              "      <td>0.484029</td>\n",
              "      <td>0.477088</td>\n",
              "      <td>0.074882</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>8.000000</td>\n",
              "      <td>7836.000000</td>\n",
              "      <td>27.564457</td>\n",
              "      <td>-120.083748</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>37286.250000</td>\n",
              "      <td>19147.000000</td>\n",
              "      <td>30.038550</td>\n",
              "      <td>-90.089860</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>75482.000000</td>\n",
              "      <td>34606.000000</td>\n",
              "      <td>38.786073</td>\n",
              "      <td>-82.750033</td>\n",
              "      <td>3.500000</td>\n",
              "      <td>41.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>112809.500000</td>\n",
              "      <td>63110.000000</td>\n",
              "      <td>39.950389</td>\n",
              "      <td>-75.288643</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>109.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>150336.000000</td>\n",
              "      <td>336140.000000</td>\n",
              "      <td>43.773686</td>\n",
              "      <td>-74.664459</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>7568.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 29 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9075789b-0f4d-4bd3-82ef-2d52560323c2')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9075789b-0f4d-4bd3-82ef-2d52560323c2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9075789b-0f4d-4bd3-82ef-2d52560323c2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "ax = sns.countplot(df['stars'])\n",
        "plt.title('Distribution of rating');\n",
        "plt.title(\"Star Rating Distribution\")\n",
        "plt.ylabel('# of businesses', fontsize=12)\n",
        "plt.xlabel('Star Ratings ', fontsize=12)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 479
        },
        "id": "CfUvxkBGZ26B",
        "outputId": "788c103b-ef69-48dd-b7e4-5de23dcd1a1d"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Star Ratings ')"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Get the distribution of the ratings\n",
        "x=df['stars'].value_counts()\n",
        "x=x.sort_index()\n",
        "#plot\n",
        "plt.figure(figsize=(12,6))\n",
        "ax= sns.barplot(x.index, x.values, alpha=0.8)\n",
        "plt.title(\"Star Rating Distribution\")\n",
        "plt.ylabel('# of businesses', fontsize=12)\n",
        "plt.xlabel('Star Ratings ', fontsize=12)\n",
        "ax.set_ylim(0, 11000)\n",
        "\n",
        "#adding the text labels\n",
        "rects = ax.patches\n",
        "labels = x.values\n",
        "for rect, label in zip(rects, labels):\n",
        "    height = rect.get_height()\n",
        "    ax.text(rect.get_x() + rect.get_width()/2, height+5, label, ha='center', va='bottom')\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "rAjR0qt8L5Fs",
        "outputId": "624a2b41-f8c1-457f-e296-da220bf10a1f"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x432 with 1 Axes>"
            ],
            "image/png": 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vv/wyb731Fr/5zW+4+OKLueOOO5g5cyYnnXQSX/nKV5bbb+zYsQwdOpQOHTos1/7KK69wwgkn8Otf/5r11vOfY6m98qdfkqQq/PGPf2SHHXZgq622Yv311+foo4/mgQce4PHHH2fQoEEADBs2jD//+c/L7Td27Ni6ISrLzJ8/n8MOO4zzzjuPffbZp8WuQVLrYxiXJKkKvXr14sEHH2ThwoVkJpMmTWL33Xdn3rx5TJ06FYCJEyfSu3fvun2ee+453nzzTQYPHlzXtnjxYo466ihOPPFEhg4d2uLXIal1ccy4JElVGDRoEEOHDqV///507NiRvfbai1NPPZWePXtyzDHHsN5669GlSxdGjx5dt8/YsWM5/vjjiYi6tuuvv54//elPzJkzh6uuugqAq666ipqampa+JEmtQGRm2TWUZuDAgTllypSyy5AkqXTTr/xr2SW0qB1GfrDsEtSORMTDmTlwRescpiJJkiSVxGEqkqQ27cpvf73sElrUyO9fVHYJklaDPeOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJSg/jEXFmRDwdEU9FxJiIeF9E7BARD0XEtIi4LiI2KLbdsHg9rVi/fb3jnF20Px8RHy/reiRJkqRqlRrGI6IH8GVgYGb2BToAxwMXAhdn5k7Am8DIYpeRwJtF+8XFdkTE7sV+fYBDgMsjokNLXoskSZK0ukrvGQc6AhtFREdgY+AV4EBgXLH+auBTxfKRxWuK9QdFRBTtYzPzncycDkwD9m6h+iVJkqQ1UmoYz8xZwH8Bf6cSwucBDwNzM7O22Gwm0KNY7gHMKPatLbbfsn77CvaRJEmSWqWyh6l0odKrvQPQHdiEyjCT5jznqRExJSKmvPbaa815KkmSJGmlyh6m8jFgema+lpnvAjcC+wGdi2ErAD2BWcXyLGBbgGL95sCc+u0r2Gc5mXlFZg7MzIFbbbVVU1+PJEmSVLWyw/jfgX0iYuNi7PdBwDPA3cDQYpsRwPhi+ZbiNcX6uzIzi/bji9lWdgB2Bia30DVIkiRJa6TjqjdpPpn5UESMAx4BaoFHgSuA24GxEfGDou3KYpcrgWsjYhrwBpUZVMjMpyPieipBvhb4UmYuadGLkSRJklZTqWEcIDPPAc5p0PwCK5gNJTPfBo5t5DjnAec1eYGSJElSMyl7mIokSZLUbhnGJUmSpJIYxiVJkqSSGMYlSZKkkhjGJUmSpJIYxiVJkqSSGMYlSZKkkhjGJUmSpJIYxiVJkqSSGMYlSZKkkhjGJUmSpJIYxiVJkqSSGMYlSZKkkhjGJUmSpJIYxiVJkqSSGMYlSZKkkhjGJUmSpJIYxiVJkqSSGMYlSZKkkhjGJUmSpJIYxiVJkqSSGMYlSZKkkqxRGI+IjSJiw6YuRpIkSWpPqgrjEfFfEbF3sXwY8AbwZkQc0ZzFSZIkSW1ZtT3jnwGeKpa/A3wW+CTww+YoSpIkSWoPOla53caZuTAitgQ+kJk3AETEds1XmiRJktS2VRvGp0bEZ4CdgIkAEdEVWNRchUmSJEltXbVh/IvAJcC7wMlF28eBO5ujKEmSJKk9qCqMZ+ZfgX0btP0W+G1zFCVJkiS1B1VPbRgRB0fElRFxa/F6YEQc2HylSZIkSW1btVMb/jvw38DfgP2L5kXAD5qpLkmSJKnNq7Zn/AzgY5l5AbC0aHsO2LVZqpIkSZLagWrD+KbAjGI5i+/rA4ubvCJJkiSpnag2jP8J+EaDti8DdzdtOZIkSVL7Ue3Uhv8O3BoRnwc2jYjngQXA4c1WmSRJktTGVTu14SsR8UHgg8B2VIasTM7MpSvfU5IkSVJjqp7aMCsmZ+bvgY2ADzdfWZIkSVLbV+3UhvdGxH7F8ihgLPC7iPhmcxYnSZIktWXV9oz3BR4slj8PHADsA5zWHEVJkiRJ7UG1b+BcD8iI2BGIzHwGICK6NFtlkiRJUhtXbRi/H7gM2Aa4CaAI5q83U12SJElSm1ftMJXPAXOBJ4BzirbdgEuaoSZJkiSpXah2asM5wDcbtN3eLBVJkiRJ7US1s6l8JSJqiuV9IuLvETE9IgY3b3mSJElS21XtMJUzgenF8vnAT4AfAD9tjqIkSZKk9qDaN3BunpnzImJTYE/gY5m5JCJ+3Iy1SZIkSW1atWF8RkTsC/QB/lQE8c2AJc1XmiRJktS2VRvGvwaMAxYDxxRthwOTm6MoSZIkqT2odjaVO4DuDZp/X3xJkiRJWgPV9owTEbsBxwJbZ+bpwI7ABlTmHpckSZK0mqqd2vBY4D6gB3Bi0dyJyqwqayUiOkfEuIh4LiKejYjBEbFFREyMiL8V37sU20ZEXBoR0yLiiYjoX+84I4rt/xYRI9a2LkmSJKm5VTu14blUZlA5jX+9afNxKjOrrK1LgAmZuVtxvGeBbwCTMnNnYFLxGuBQYOfi61TgvwEiYgsqnww6CNgbOGdZgJckSZJaq2rDeDf+NRwl633PFW9enYjYHNgfuBIgMxdn5lzgSODqYrOrgU8Vy0cC12TFg0DniNgG+DgwMTPfyMw3gYnAIWtTmyRJktTcqg3jDwMnNGg7nrWfTWUH4DXg1xHxaET8KiI2oTIu/ZVim38AWxfLPYAZ9fafWbQ11i5JkiS1WtW+gfPLwJ0RMRLYJCL+F9gFGNIE5+8P/HtmPhQRl/CvISkAZGZGxFr1wNcXEadSGeJCr169muqwkiRJ0mqrqmc8M58DdgN+DnwL+DWwR2b+bS3PPxOYmZkPFa/HUQnnrxbDTyi+zy7WzwK2rbd/z6KtsfYVXcsVmTkwMwdutdVWa1m+JEmStOaqHaZCZi7MzOsz80eZOTYz/7m2J8/Mf1D5dM9di6aDgGeAW4BlM6KMAMYXy7cAJxazquwDzCuGs/wvMCQiuhRv3BxStEmSJEmtVlXDVCJiB+A8oIbKlIZ1MnNtx3r8O/DbiNgAeAE4icovCdcXw2JeAo4rtr0D+AQwDVhYbEtmvhER3wf+Wmx3bma+sZZ1SZIkSc2q2jHjvwP+D/gqlRDcZDLzMWDgClYdtIJtE/hSI8cZDYxuytokSZKk5lRtGO8D7JeZS5uzGEmSJKk9qXbM+J+AvZqzEElSebbffnv22GMPampqGDhw+T9W/vjHPyYieP311wH40Y9+RE1NDTU1NfTt25cOHTrwxhv/Ghm4ZMkS9tprLw4//PAWvQZpXbQ6P3sA99xzDzU1NfTp04ePfOQjy23vz966qdqe8ReBCRFxE5V5v+tk5neauihJUsu7++676dq163JtM2bM4M4771xuKtivfe1rfO1rXwPg1ltv5eKLL2aLLbaoW3/JJZfQu3dv5s+f3zKFS+u4an/25s6dyxe/+EUmTJhAr169mD179nL7+LO3bqq2Z3wT4DZgfSpTCNb/kiS1UWeeeSYXXXQREbHC9WPGjGH48OF1r2fOnMntt9/OKaec0lIlSm3Sin72fve733H00UfXBfRu3brVrfNnb91V7TzjJzX21dwFSpKaX0QwZMgQBgwYwBVXXAHA+PHj6dGjB3vuuecK91m4cCETJkzgmGOOqWs744wzuOiii1hvvapnzpXatdX52Zs6dSpvvvkmH/3oRxkwYADXXHNN3Tp/9tZdjQ5TiYjtM/PFYvkDjW2XmS80Q12SpBZ0//3306NHD2bPns3BBx/Mbrvtxg9/+EPuvPPORve59dZb2W+//eqGqNx2221069aNAQMGcM8997RQ5dK6bXV+9mpra3n44YeZNGkSixYtYvDgweyzzz5MnTrVn7112MrGjD8JbFosTwMSaPh3ygQ6NENdkqQW1KNHD6DyZ++jjjqKe++9l+nTp9f1zM2cOZP+/fszefJk3v/+9wMwduzY5YaoPPDAA9xyyy3ccccdvP3228yfP5/Pfvaz/OY3v2n5C5LWEavzs9ezZ0+23HJLNtlkEzbZZBP2339/Hn/8cR555BF/9tZhjf4tIzM3rbe8XmZ2KL7X/zKIS9I67q233mLBggV1y3feeScf/OAHmT17Ni+++CIvvvgiPXv25JFHHqkL4vPmzePee+/lyCOPrDvO+eefz8yZM3nxxRcZO3YsBx54oGFAWonV/dk78sgjuf/++6mtrWXhwoU89NBD9O7d25+9dVy1s6kspxi2snTZMBZJ0rrr1Vdf5aijjgIqfwb/9Kc/zSGHHLLSfW666SaGDBnCJpts0hIlSm3S6v7s9e7dm0MOOYR+/fqx3nrrccopp9C3b9+WKlfNJCofarmKjSLGAD/LzD9HxEnA5cBS4MuZeWUz19hsBg4cmFOmTCm7DElSM7ry218vu4QWNfL7F63RftOv/GsTV9K67TDyg2WXoHYkIh7OzBV94nzVPeMHASOK5a8AHwPmAjcD62wYl6R12XUX/6nsElrMsDP3L7sESWoW1YbxDTJzcUT0ALbIzAcAImLr5itNkiSp9fnFL35Rdgkt5gtf+ELZJbR51YbxxyLibGA74HaAIpj7EU+SJEnSGqp2ZviRwB7ARsC3irbBwG+boyhJkiSpPaiqZzwz/w/4dIO2ccC45ihKkiRJag+qCuMRcXJj6zJzdNOVI0mSJLUf1Y4ZP6HB6/cDOwIPAIZxSZIkaQ1UO0zlgIZtRW957yavSJIkSWonqn0D54pcReWNnZIkSZLWQLVjxhuG9o2Bz1L54B9JkiRJa6DaMeO1QDZomwV8vmnLkSRJktqPasP4Dg1ev5WZrzd1MZIkSVJ7UtWY8cx8KTNfotJD3g3YoFmrkiRJktqBqsJ4RPSKiPuAl4Dbgb9HxH0RsV2zVidJkiS1YdXOpnI18DCweWZ2AzoDU4p2SZIkSWug2jHjA4AhmfkuQGb+MyJGAXOarTJJkiSpjau2Z/xBYO8GbQOBvzRtOZIkSVL70WjPeEScW+/l/wF3RMTtwAxgW+ATwO+atzxJkiSp7VrZMJVtG7y+sfjeDXgHuAl4X3MUJUmSJLUHjYbxzDypJQuRJEmS2ptqx4xLkiRJamKGcUmSJKkkhnFJkiSpJI2G8Yj4Ub3lA1umHEmSJKn9WFnP+Kn1lm9u7kIkSZKk9mZlUxs+HhHjgGeADRvMO14nM7/TLJVJkiRJbdzKwvhQKr3j2wHBe+cdB8jmKEqSJElqD1Y2z/hs4AcAEdHRecclSZKkprWynvE6mXlSRHQBjgB6ALOA2zLzjeYsTpIkSWrLqpraMCIGA/8HnAb0A74ATCvaJUmSJK2BqnrGgZ8CX8zMscsaImIYcCnwweYoTJIkSWrrqv3Qn12A6xu0jQN2atpyJEmSpPaj2jD+N+D4Bm3HUhm6IkmSJGkNVDtM5Qzgtoj4MvASsD2wM3B4M9UlSZIktXnVzqby54jYETgM6A7cCtzhbCqSJEnSmqu2Z5zMfBP4TTPWIkmSJLUr1Y4ZlyRJktTEDOOSJElSSQzjkiRJUkmqDuMRsV1zFiJJkiS1N6vTM/4oQDG9oSRJkqS1tNIwHhEPR8QVEfFvQIei+btNXUREdIiIRyPituL1DhHxUERMi4jrImKDon3D4vW0Yv329Y5xdtH+fER8vKlrlCRJkpraqnrGhwJ3AtsBG0fEI8CGEXFARGzehHX8B/BsvdcXAhdn5k7Am8DIon0k8GbRfnGxHRGxO5VPCO0DHAJcHhEdkCRJklqxVYXxDpk5LjO/ASwAjgQC+HfgsYj429oWEBE9qXyY0K+K1wEcCIwrNrka+FSxfGTxmmL9QcX2RwJjM/OdzJwOTAP2XtvaJEmSpOa0qg/9+W1E9AKeAd4HdAHezsyjASJiiyao4afA14FNi9dbAnMzs7Z4PRPoUSz3AGYAZGZtRMwrtu8BPFjvmPX3WU5EnAqcCtCrV68mKF+SJElaMyvtGc/MQcC2wFlAApcBm0bEf0fE54Ed1ubkEXE4MDszH16b46yOzLwiMwdm5sCtttqqpU4rSZIkvccqZ1PJzNrMfBRYnJn7A28B9wA7U2lPuNoAABjISURBVIzZXgv7AZ+MiBeBsVSGp1wCdI6IZb32PYFZxfIsKr8cUKzfHJhTv30F+0iSJEmt0upMbXhm8T0z87rM/HpmfmxtTp6ZZ2dmz8zcnsobMO/KzM8Ad1N58yjACGB8sXxL8Zpi/V2ZmUX78cVsKztQ+UVh8trUJkmSJDW3VY0Zr5OZVxWLH2ieUpYzChgbET+gMr/5lUX7lcC1ETENeINKgCczn46I66mMba8FvpSZS1qgTkmSJGmNVR3Gl8nMN5ujkMy8h8rwFzLzBVYwG0pmvg0c28j+5wHnNUdtkiRJUnNYnWEqkiRJkpqQYVySJEkqiWFckiRJKolhXJIkSSqJYVySJEkqiWFckiRJKolhXJIkSSqJYVySJEkqiWFckiRJKolhXJIkSSqJYVySJEkqiWFckiRJKolhXJIkSSqJYVySJEkqiWFcUpv09ttvs/fee7PnnnvSp08fzjnnHACmT5/OoEGD2GmnnRg2bBiLFy8G4J133mHYsGHstNNODBo0iBdffBGAyZMnU1NTQ01NDXvuuSc33XRTWZckSWqDDOOS2qQNN9yQu+66i8cff5zHHnuMCRMm8OCDDzJq1CjOPPNMpk2bRpcuXbjyyisBuPLKK+nSpQvTpk3jzDPPZNSoUQD07duXKVOm1B3jC1/4ArW1tWVemiSpDTGMS2qTIoJOnToB8O677/Luu+8SEdx1110MHToUgBEjRnDzzTcDMH78eEaMGAHA0KFDmTRpEpnJxhtvTMeOHYFKb3tElHA1kqS2yjAuqc1asmQJNTU1dOvWjYMPPpgdd9yRzp0714Xrnj17MmvWLABmzZrFtttuC0DHjh3ZfPPNmTNnDgAPPfQQffr0YY899uB//ud/6vaXJGltGcYltVkdOnTgscceY+bMmUyePJnnnntujY4zaNAgnn76af76179y/vnn8/bbbzdxpZKk9sowLqnN69y5MwcccAB/+ctfmDt3bt2Y75kzZ9KjRw8AevTowYwZMwCora1l3rx5bLnllssdp3fv3nTq1ImnnnqqZS9AktRmGcYltUmvvfYac+fOBWDRokVMnDiR3r17c8ABBzBu3DgArr76ao488kgAPvnJT3L11VcDMG7cOA488EAigunTp9eF95deeonnnnuO7bffvuUvSJLUJjnwUVKb9MorrzBixAiWLFnC0qVLOe644zj88MPZfffdOf744/nWt77FXnvtxciRIwEYOXIkJ5xwAjvttBNbbLEFY8eOBeD+++/nggsuYP3112e99dbj8ssvp2vXrmVemiSpDTGMS2qT+vXrx6OPPvqe9g984ANMnjz5Pe3ve9/7+P3vf/+e9hNOOIETTjihWWqUJMlhKpIkSVJJ7BmX1Ko8/PlTyy6hRQ345RVllyBJKpE945IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJDOOSJElSSQzjkiRJUkkM45IkSVJJSg3jEbFtRNwdEc9ExNMR8R9F+xYRMTEi/lZ871K0R0RcGhHTIuKJiOhf71gjiu3/FhEjyromSZIkqVpl94zXAl/NzN2BfYAvRcTuwDeASZm5MzCpeA1wKLBz8XUq8N9QCe/AOcAgYG/gnGUBXpIkSWqtSg3jmflKZj5SLC8AngV6AEcCVxebXQ18qlg+ErgmKx4EOkfENsDHgYmZ+UZmvglMBA5pwUuRJEmSVlvZPeN1ImJ7YC/gIWDrzHylWPUPYOtiuQcwo95uM4u2xtpXdJ5TI2JKREx57bXXmqx+SZIkaXW1ijAeEZ2AG4AzMnN+/XWZmUA21bky84rMHJiZA7faaqumOqwkSZK02koP4xGxPpUg/tvMvLFofrUYfkLxfXbRPgvYtt7uPYu2xtolSZKkVqvs2VQCuBJ4NjN/Um/VLcCyGVFGAOPrtZ9YzKqyDzCvGM7yv8CQiOhSvHFzSNEmSZIktVodSz7/fsAJwJMR8VjR9k3gAuD6iBgJvAQcV6y7A/gEMA1YCJwEkJlvRMT3gb8W252bmW+0zCVIkiRJa6bUMJ6Z9wPRyOqDVrB9Al9q5FijgdFNV50kSZLUvEofMy5JkiS1V4ZxSZIkqSSGcUmSJKkkhnFJkiSpJIZxSZIkqSSGcUmSJKkkhnFJkiSpJIZxSZIkqSSGcWkdc/LJJ9OtWzf69u1b1/a1r32N3XbbjX79+nHUUUcxd+5cACZOnMiAAQPYY489GDBgAHfddRcACxYsoKampu6ra9eunHHGGaVcjyRJ7ZlhXFrHfO5zn2PChAnLtR188ME89dRTPPHEE+yyyy6cf/75AHTt2pVbb72VJ598kquvvpoTTjgBgE033ZTHHnus7mu77bbj6KOPbvFrkSSpvTOMS+uY/fffny222GK5tiFDhtCxY0cA9tlnH2bOnAnAXnvtRffu3QHo06cPixYt4p133llu36lTpzJ79mw+/OEPt0D1kiSpPsO41MaMHj2aQw899D3tN9xwA/3792fDDTdcrn3s2LEMGzaMiGipEiVJUqFj2QVIajrnnXceHTt25DOf+cxy7U8//TSjRo3izjvvfM8+Y8eO5dprr22pEiVJUj2GcamNuOqqq7jtttuYNGnScr3cM2fO5KijjuKaa65hxx13XG6fxx9/nNraWgYMGNDS5UqSJAzjUpswYcIELrroIu6991423njjuva5c+dy2GGHccEFF7Dffvu9Z78xY8YwfPjwlixVkiTV45hxaR0zfPhwBg8ezPPPP0/Pnj258sorOf3001mwYAEHH3wwNTU1nHbaaQBcdtllTJs2jXPPPbduGsPZs2fXHev66683jEuSVCJ7xqV1zJgxY97TNnLkyBVu+61vfYtvfetbjR7rhRdeaLK6JEnS6jOMSy3k5OtOLruEFjN62OiyS5AkaZ3gMBVJkiSpJIZxSZIkqSSGcUmSJK0zLr74Yvr06UPfvn0ZPnw4b7/9NtOnT2fQoEHstNNODBs2jMWLFwPw0ksvcdBBB9GvXz8++tGP1n1CdWtiGJckSdI6YdasWVx66aVMmTKFp556iiVLljB27FhGjRrFmWeeybRp0+jSpQtXXnklAGeddRYnnngiTzzxBN/5znc4++yzS76C9zKMS5IkaZ1RW1vLokWLqK2tZeHChWyzzTbcddddDB06FIARI0Zw8803A/DMM89w4IEHAnDAAQcwfvz40upujGFckiRJ64QePXpw1lln0atXL7bZZhs233xzBgwYQOfOnenYsTJJYM+ePZk1axYAe+65JzfeeCMAN910EwsWLGDOnDml1b8ihnFJkiStE958803Gjx/P9OnTefnll3nrrbeYMGFCo9v/13/9F/feey977bUX9957Lz169KBDhw4tWPGqOc+4JEmS1gl//OMf2WGHHdhqq60AOProo3nggQeYO3cutbW1dOzYkZkzZ9KjRw8AunfvXtcz/s9//pMbbriBzp07l1b/itgzLkmSpHVCr169ePDBB1m4cCGZyaRJk9h999054IADGDduHABXX301Rx55JACvv/46S5cuBeD888/n5JNb3wfwGcYlSZK0Thg0aBBDhw6lf//+7LHHHixdupRTTz2VCy+8kJ/85CfstNNOzJkzh5EjRwJwzz33sOuuu7LLLrvw6quv8p//+Z8lX8F7OUxFkiRJ64zvfe97fO9731uu7QMf+ACTJ09+z7ZDhw6tm2WltbJnXJIkSSqJPeOSJElqchP/eGLZJbSogz92zRrtZ8+4JEmSVBLDuCRJklQSw7hanbfffpu9996bPffckz59+nDOOecA8OEPf5iamhpqamro3r07n/rUpwAYP348/fr1o6amhoEDB3L//feXWb4kSVLVHDOuVmfDDTfkrrvuolOnTrz77rt86EMf4tBDD+W+++6r2+aYY46pm0P0oIMO4pOf/CQRwRNPPMFxxx3Hc889V1b5kiRJVbNnXK1ORNCpUycA3n33Xd59910iom79/Pnzueuuu+p6xjt16lS3/q233lpuW0mSpNbMMK5WacmSJdTU1NCtWzcOPvhgBg0aVLfu5ptv5qCDDmKzzTara7vpppvYbbfdOOywwxg9enQZJUuSJK02w7hapQ4dOvDYY48xc+ZMJk+ezFNPPVW3bsyYMQwfPny57Y866iiee+45br75Zr797W+3dLmSJElrxDCuVq1z584ccMABTJgwAYDXX3+dyZMnc9hhh61w+/33358XXniB119/vSXLlCRJWiOGcbU6r732GnPnzgVg0aJFTJw4kd122w2AcePGcfjhh/O+972vbvtp06aRmQA88sgjvPPOO2y55ZYtX7gkSdJqcjYVtTqvvPIKI0aMYMmSJSxdupTjjjuOww8/HICxY8fyjW98Y7ntb7jhBq655hrWX399NtpoI6677jrfxClJktYJhnG1Ov369ePRRx9d4bp77rnnPW2jRo1i1KhRzVyVJElS0zOMl+T5559n2LBhda9feOEFzj33XGbNmsWtt97KBhtswI477sivf/1rOnfuXGKlkiRJai6G8ZLsuuuuPPbYY0BlGr8ePXpw1FFH8fzzz3P++efTsWNHRo0axfnnn8+FF15YcrWN+8cvh616ozbk/Z+/ruwSJElSG+IbOFuBSZMmseOOO7LddtsxZMgQOnas/I60zz77MHPmzJKrkyRJUnMxjLcCY8eOfc+82QCjR4/m0EMPLaEiSZIktQTDeMkWL17MLbfcwrHHHrtc+3nnnUfHjh35zGc+U1JlkiRJam6OGS/ZH/7wB/r378/WW29d13bVVVdx2223MWnSJKfokyRJasMM4yVr+NHuEyZM4KKLLuLee+9l4403LrEySZIkNTeHqZTorbfeYuLEiRx99NF1baeffjoLFizg4IMPpqamhtNOO63ECiVJktSc2lTPeEQcAlwCdAB+lZkXlFzSSm2yySbMmTNnubZp06aVVI0kSZJaWpvpGY+IDsDPgUOB3YHhEbF7uVVJkiRJjWtLPeN7A9My8wWAiBgLHAk8syYH++wltzdhaa3fb/7jsLJLkCRJanfaTM840AOYUe/1zKJNkiRJapUiM8uuoUlExFDgkMw8pXh9AjAoM09vsN2pwKnFy12B51u00FXrCrxedhHrAO9T9bxX1fE+Vcf7VD3vVXW8T9XzXlWnNd6n7TJzqxWtaEvDVGYB29Z73bNoW05mXgFc0VJFra6ImJKZA8uuo7XzPlXPe1Ud71N1vE/V815Vx/tUPe9Vdda1+9SWhqn8Fdg5InaIiA2A44FbSq5JkiRJalSb6RnPzNqIOB34XypTG47OzKdLLkuSJElqVJsJ4wCZeQdwR9l1rKVWO4SmlfE+Vc97VR3vU3W8T9XzXlXH+1Q971V11qn71GbewClJkiSta9rSmHFJkiRpnWIYL0FEjI6I2RHxVCPrIyIujYhpEfFERPRv6Rpbgyru00cjYl5EPFZ8faela2wNImLbiLg7Ip6JiKcj4j9WsI3PFFXfq3b/XEXE+yJickQ8Xtyn761gmw0j4rrimXooIrZv+UrLV+W9+lxEvFbvmTqljFpbg4joEBGPRsRtK1jnM1VYxX3yeSpExIsR8WRxH6asYP068W9fmxozvg65CrgMuKaR9YcCOxdfg4D/Lr63N1ex8vsEcF9mHt4y5bRatcBXM/ORiNgUeDgiJmZm/U+f9ZmqqOZegc/VO8CBmfnPiFgfuD8i/pCZD9bbZiTwZmbuFBHHAxcCw8ootmTV3CuA6xp+7kU79R/As8BmK1jnM/UvK7tP4PNU3wGZ2dic4uvEv332jJcgM/8EvLGSTY4ErsmKB4HOEbFNy1TXelRxnwRk5iuZ+UixvIDK/8AbfvqszxRV36t2r3hO/lm8XL/4avgGoyOBq4vlccBBEREtVGKrUeW9EhARPYHDgF81sonPFFXdJ1Vvnfi3zzDeOvUAZtR7PRMDQ2MGF38e/kNE9Cm7mLIVf9bdC3iowSqfqQZWcq/A52rZn8kfA2YDEzOz0WcqM2uBecCWLVtl61DFvQI4pvgz+biI2HYF69uDnwJfB5Y2st5nqmJV9wl8npZJ4M6IeDgqn7De0Drxb59hXOuyR6h8vOyewM+Am0uup1QR0Qm4ATgjM+eXXU9rtop75XMFZOaSzKyh8mnGe0dE37Jraq2quFe3AttnZj9gIv/q/W03IuJwYHZmPlx2La1Zlfep3T9P9XwoM/tTGY7ypYjYv+yC1oRhvHWaBdT/Tbdn0aZ6MnP+sj8PF3PMrx8RXUsuqxTFWNUbgN9m5o0r2MRnqrCqe+VztbzMnAvcDRzSYFXdMxURHYHNgTktW13r0ti9ysw5mflO8fJXwICWrq0V2A/4ZES8CIwFDoyI3zTYxmeqivvk8/QvmTmr+D4buAnYu8Em68S/fYbx1ukW4MTiXcD7APMy85Wyi2ptIuL9y8YTRsTeVJ7n9vY/bop7cCXwbGb+pJHNfKao7l75XEFEbBURnYvljYCDgecabHYLMKJYHgrcle3wgyuquVcNxqh+ksp7FdqVzDw7M3tm5vbA8VSel8822KzdP1PV3Cefp4qI2KR4Iz4RsQkwBGg4+9o68W+fs6mUICLGAB8FukbETOAcKm/6ITP/h8qniH4CmAYsBE4qp9JyVXGfhgL/FhG1wCLg+Pb2P+7CfsAJwJPFuFWAbwK9wGeqgWrulc8VbANcHREdqPwycn1m3hYR5wJTMvMWKr/UXBsR06i80fr48sotVTX36ssR8Ukqs/m8AXyutGpbGZ+p6vg8rdDWwE1F30lH4HeZOSEiToN1698+P4FTkiRJKonDVCRJkqSSGMYlSZKkkhjGJUmSpJIYxiVJkqSSGMYlSZKkkhjGJUnNIiL+GREfKLsOSWrNDOOS1ApFxIci4s8RMS8i3oiIByLig8W6z0XE/U18vo9GxNIiQC+IiOcjouo5eSPinog4pX5bZnbKzBeask5Jamv80B9JamUiYjPgNuDfgOuBDYAPA++sbL/VOH7HzKxdwaqXM7Nn8QmkhwK3RMSfM/P5pjivJOm97BmXpNZnF4DMHJOZSzJzUWbemZlPRERv4H+AwUUv9lyAiDgsIh6NiPkRMSMivrvsYBGxfURkRIyMiL8Dd63s5FlxB5VP9+tXHKNLRNwWEa9FxJvFcs9i3XlUflm4rKjpsqI9I2KnYvmqiPh5RNxe9Lw/FBE71qtxSNEbPy8iLo+Ie5f1tEfETsXreRHxekRc1zS3WZLKZxiXpNZnKrAkIq6OiEMjosuyFZn5LHAa8JdiGEjnYtVbwIlAZ+Aw4N8i4lMNjvsRoDfw8ZWdPCLWKz5uuyuVj5GGyr8Xvwa2A3oBi4DLipr+E7gPOL2o6fRGDn088D2gS3Hc84rzdQXGAWcDWwLPA/vW2+/7wJ3Ffj2Bn62sfklalxjGJamVycz5wIeABH4JvBYRt0TE1ivZ557MfDIzl2bmE8AYKuG7vu9m5luZuaiRw3QvetoXATcBX8nMR4vjz8nMGzJzYWYuoBKkGx5/VW7KzMnFEJnfAjVF+yeApzPzxmLdpcA/6u33LpVfArpn5tuZ2aTj5SWpTIZxSWqFMvPZzPxcZvYE+gLdgZ82tn1EDIqIu4thJPOo9J53bbDZjFWc9uWip30zKoH4wHrH3zgifhERL0XEfOBPQOeI6LAal1U/YC8EOhXL3evXlpkJzKy37deBACZHxNMRcfJqnFOSWjXDuCS1cpn5HHAVlVAOlR7zhn4H3AJsm5mbUxlXHg0PVeX53gFGAXvUG+ryVWBXYFBmbgbsX7QvO0dVx27EK1SGn1QOWHkDad3rzPxHZn4+M7sDXwAuXzYWXZLWdYZxSWplImK3iPhqvTdIbgsMBx4sNnkV6BkRG9TbbVPgjcx8OyL2Bj69NjVk5mLgx8B36h1/ETA3IrYAzmmwy6vAms4pfjtF8I+Ijv/fzv3jQhRGYRh/Xo3olCoL0ItYgWoShansgEKvVOpYgAVYgU5LoqTUK0YUQ+sqzp1IFISQ75o8v/L+yXfyVW9OTg6wD6zMXiYZz+4CeKKC/+sPz5KkQTGMS9LwTIEN4DrJCxXCb6nuNNQ2lDvgIcmkf7YHHCWZUgH6/BfqOANWk4yoEZklYNLXc/Hh2xNgp9+0cvqdQ7qumwBj4Bh4BNaAG95XOa5Td/FMdf8P3F8uaV6kRvMkSRqGJAvUzPhu13WXreuRpL9kZ1yS1FySrSTLSRaBQ2oW/eqL3yTp3zOMS5KGYBO4p8ZgRsD2JysYJWluOKYiSZIkNWJnXJIkSWrEMC5JkiQ1YhiXJEmSGjGMS5IkSY0YxiVJkqRGDOOSJElSI2+9I7HCdg0btwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14,6))\n",
        "\n",
        "sns.countplot(x = 'market',\n",
        "              data = df,\n",
        "              order = df['market'].value_counts().index)\n",
        "plt.title(\"Number of Businesses per Market\")\n",
        "plt.ylabel('# of Businesses', fontsize=12)\n",
        "plt.xlabel('Market ', fontsize=12)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Kg79lWAVcdSr",
        "outputId": "77edbb66-3a48-4da5-f33c-fe4b51ed8622"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Market ')"
            ]
          },
          "metadata": {},
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14,6))\n",
        "\n",
        "\n",
        "sns.barplot(x=\"market\", y=\"stars\", data=df, ci=None);\n",
        "\n",
        "plt.title(\"Average Star Rating per Market\")\n",
        "plt.ylabel('Average Star Rating', fontsize=12)\n",
        "plt.xlabel('Market ', fontsize=12)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "w-2eMnSviKzO",
        "outputId": "d7c79162-590d-4b40-e328-b134a555c453"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'Market ')"
            ]
          },
          "metadata": {},
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lr8WLOztcd-z",
        "outputId": "51f38115-fc73-4ea5-b6da-8745f38f86e8"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['business_id', 'name', 'address', 'city', 'state', 'postal_code',\n",
              "       'latitude', 'longitude', 'stars', 'review_count', 'is_open',\n",
              "       'attributes', 'categories', 'hours', 'market', 'Caters',\n",
              "       'RestaurantsDelivery', 'RestaurantsTakeOut', 'HasTV',\n",
              "       'BusinessAcceptsCreditCards', 'OutdoorSeating', 'BusinessParking',\n",
              "       'Ambience', 'RestaurantsPriceRange2', 'GoodForKids',\n",
              "       'RestaurantsReservations', 'RestaurantsGoodForGroups', 'BikeParking',\n",
              "       'GoodForMeal', 'DogsAllowed', 'HappyHour', 'WheelchairAccessible',\n",
              "       'RestaurantsTableService', 'BusinessAcceptsBitcoin', 'Music',\n",
              "       'GoodForDancing', 'CoatCheck', 'BestNights', 'BYOB',\n",
              "       'ByAppointmentOnly', 'DriveThru', 'Corkage',\n",
              "       'RestaurantsCounterService', 'Open24Hours', 'AcceptsInsurance',\n",
              "       'DietaryRestrictions', 'AgesAllowed_21plus', 'AgesAllowed_allages',\n",
              "       'Alcohol_None', 'Alcohol_beer_and_wine', 'Alcohol_full_bar',\n",
              "       'BYOBCorkage_no', 'BYOBCorkage_yes_corkage', 'BYOBCorkage_yes_free',\n",
              "       'NoiseLevel_average', 'NoiseLevel_loud', 'NoiseLevel_quiet',\n",
              "       'NoiseLevel_very_loud', 'RestaurantsAttire_casual',\n",
              "       'RestaurantsAttire_dressy', 'RestaurantsAttire_formal', 'Smoking_no',\n",
              "       'Smoking_outdoor', 'Smoking_yes', 'WiFi_free', 'WiFi_no', 'WiFi_paid'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JPhwS9hQk5cq",
        "outputId": "900fe579-13b0-40d6-f5fb-574ec80ef7bd"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0                        0\n",
              "business_id                       0\n",
              "name                              0\n",
              "address                          75\n",
              "city                              0\n",
              "state                             0\n",
              "postal_code                       1\n",
              "latitude                          0\n",
              "longitude                         0\n",
              "stars                             0\n",
              "review_count                      0\n",
              "is_open                           0\n",
              "attributes                      376\n",
              "categories                        0\n",
              "hours                          5505\n",
              "market                            0\n",
              "Caters                        11893\n",
              "RestaurantsDelivery            4972\n",
              "RestaurantsTakeOut             3222\n",
              "HasTV                          5610\n",
              "BusinessAcceptsCreditCards     3154\n",
              "OutdoorSeating                 5851\n",
              "BusinessParking                4100\n",
              "Ambience                       5743\n",
              "RestaurantsPriceRange2         5239\n",
              "GoodForKids                    6510\n",
              "RestaurantsReservations        5325\n",
              "RestaurantsGoodForGroups       5908\n",
              "BikeParking                   11467\n",
              "GoodForMeal                   15006\n",
              "DogsAllowed                   27091\n",
              "HappyHour                     24749\n",
              "WheelchairAccessible          25811\n",
              "RestaurantsTableService       20773\n",
              "BusinessAcceptsBitcoin        30477\n",
              "Music                         30272\n",
              "GoodForDancing                32066\n",
              "CoatCheck                     31573\n",
              "BestNights                    31159\n",
              "BYOB                          32070\n",
              "ByAppointmentOnly             33025\n",
              "DriveThru                     33465\n",
              "Corkage                       32654\n",
              "RestaurantsCounterService     35279\n",
              "Open24Hours                   35276\n",
              "AcceptsInsurance              35286\n",
              "DietaryRestrictions           35277\n",
              "AgesAllowed_21plus                0\n",
              "AgesAllowed_allages               0\n",
              "Alcohol_None                      0\n",
              "Alcohol_beer_and_wine             0\n",
              "Alcohol_full_bar                  0\n",
              "BYOBCorkage_no                    0\n",
              "BYOBCorkage_yes_corkage           0\n",
              "BYOBCorkage_yes_free              0\n",
              "NoiseLevel_average                0\n",
              "NoiseLevel_loud                   0\n",
              "NoiseLevel_quiet                  0\n",
              "NoiseLevel_very_loud              0\n",
              "RestaurantsAttire_casual          0\n",
              "RestaurantsAttire_dressy          0\n",
              "RestaurantsAttire_formal          0\n",
              "Smoking_no                        0\n",
              "Smoking_outdoor                   0\n",
              "Smoking_yes                       0\n",
              "WiFi_free                         0\n",
              "WiFi_no                           0\n",
              "WiFi_paid                         0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Only attributes\n",
        "\n",
        "column_names = ['Caters','RestaurantsDelivery', 'RestaurantsTakeOut', 'HasTV',\n",
        "       'BusinessAcceptsCreditCards', 'OutdoorSeating', 'RestaurantsPriceRange2', 'GoodForKids',\n",
        "       'RestaurantsReservations', 'RestaurantsGoodForGroups', 'BikeParking', 'DogsAllowed', 'HappyHour', 'WheelchairAccessible',\n",
        "       'RestaurantsTableService', 'BusinessAcceptsBitcoin', 'GoodForDancing', 'CoatCheck', 'BYOB',\n",
        "       'ByAppointmentOnly', 'DriveThru', 'Corkage',\n",
        "       'RestaurantsCounterService', 'Open24Hours', 'AcceptsInsurance', 'AgesAllowed_21plus', 'AgesAllowed_allages',\n",
        "       'Alcohol_None', 'Alcohol_beer_and_wine', 'Alcohol_full_bar',\n",
        "       'BYOBCorkage_no', 'BYOBCorkage_yes_corkage', 'BYOBCorkage_yes_free',\n",
        "       'NoiseLevel_average', 'NoiseLevel_loud', 'NoiseLevel_quiet',\n",
        "       'NoiseLevel_very_loud', 'RestaurantsAttire_casual',\n",
        "       'RestaurantsAttire_dressy', 'RestaurantsAttire_formal', 'Smoking_no',\n",
        "       'Smoking_outdoor', 'Smoking_yes', 'WiFi_free', 'WiFi_no', 'WiFi_paid']"
      ],
      "metadata": {
        "id": "JaQJG_k-mlIs"
      },
      "execution_count": 93,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df2 = df.fillna('missing', inplace=False)"
      ],
      "metadata": {
        "id": "JD8gbscemmkZ"
      },
      "execution_count": 87,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "count=0\n",
        "fig,axes=plt.subplots(4,4,figsize=(18,15))\n",
        "\n",
        "for i in column_names[0:16]:\n",
        "  sns.barplot(x=i, y=\"stars\", data=df2, ci=None, ax=axes[count//4,count%4])\n",
        "  count+=1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 877
        },
        "id": "s36EoA6Lu0QW",
        "outputId": "3dcc6424-7a3c-4101-f44b-0f0ea6c2ab53"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x1080 with 16 Axes>"
            ],
            "image/png": 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OeZIkSZIkSa2y+CBJkkYmyXuS3J7k2iUePz7JXUmuam5nDjtGSZK051orPtiZkNTLvCBpEecBJ6zQ5tNVdXRzO2sIMUmSpAFrc+TDediZkLS78zAvSOpSVZcAd446Dknjw4sV0mRqrfhgZ0JSL/OCpDX6wSRXJ/lYkscv1SjJ5iRzSebm5+eHGZ+kwToPL1ZIE2fUaz7YmZDUy7wgqduVwKOq6ijgrcDfLtWwqrZU1WxVzc7MzAwtQEmD5cUKaTKNsvhgZ0JSL/OCpN1U1d1VtbPZ3gZsSHLgiMOSNHperJDWmZEVH+xMSOplXpDUK8kjk6TZPo5O3+WO0UYlacS8WCGtQ/uM6oWTPBL4WlWVnQlJYF6QplGS9wHHAwcmuQV4PbABoKrOAU4GXpFkF3APcEpV1YjClTQGqururu1tSd6e5MCq+voo45K0vNaKD3YmJPUyL0jqVVUvXOHxs4GzhxSOpHXAixXS+tRa8cHOhKRe5gVJkrQSL1ZIk2lk0y4kSZIkqZcXK6TJNOqv2pQkSZIkSRPO4oMkSZIkSWqVxQdJkiRJktQqiw+SJEmSJKlVFh8kSZIkSVKrLD5IkiRJkqRWWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJEnSyCR5T5Lbk1y7xONJ8pYkNybZkeSJw45RkiTtudaKD3YmJPUyL0haxHnACcs8/mzg8Oa2GXjHEGKSNGL2GaTJ0+bIh/OwMyFpd+dhXpDUpaouAe5cpslJwAXVcRlwQJKDhhOdpBE6D/sM0kRprfhgZ0JSL/OCpDU4GLi56/4tzb7vkmRzkrkkc/Pz80MJTlI77DNIk2eUaz7YmZDUy7wgac2qaktVzVbV7MzMzKjDkdSuvvoM9hek8bEuFpy0MyGpl3lBmhq3Aod23T+k2SdJK7K/II2PURYf7ExI6mVekNRrK/DiZnG5JwN3VdVtow5K0sjZZ5DWmVEWH+xMSOplXpCmTJL3AZ8Fvj/JLUlemuTlSV7eNNkGfBm4EXgX8MsjClXSeLHPIK0z+7R14KYzcTxwYJJbgNcDGwCq6hw6nYnn0OlMfAt4SVuxSBoP5gVJvarqhSs8XsBpQwpH0piwzyBNntaKD3YmJPUyL0iSpH7YZ5Amz7pYcFKSJEmSJK1fFh8kSZIkSVKrLD5IkiRJkqRWWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJEmSJElSqyw+SJIkSZKkVll8kCRJkiRJrbL4IEmSJEmSWmXxQZIkjVSSE5J8McmNSV63yOOnJplPclVz+6VRxClJktau1eKDnQlJvcwLkrol2Rt4G/Bs4AjghUmOWKTphVV1dHM7d6hBSho6+wvS5NmnrQN3dSaeBdwCXJFka1Vd39P0wqo6va04JI0P84KkRRwH3FhVXwZI8n7gJKA3L0iaEvYXpMnU5siH+zsTVfUfwEJnQtL0Mi9I6nUwcHPX/Vuafb2en2RHkg8mOXQ4oUkaEfsL0gRqs/gwsM5Eks1J5pLMzc/PtxGrpOEwL0hai48Am6rqCcBFwPmLNTIvSBPD/oI0gUa94GRfnYmq2lJVs1U1OzMzM9QAJQ2deUGaLrcC3X80HNLsu19V3VFV9zZ3zwWOXexA5gVpqthfkNaZNosPA+tMSJoY5gVJva4ADk9yWJIHAacAW7sbJDmo6+6JwA1DjE/S8NlfkCZQm8UHOxOSepkXJO2mqnYBpwMfp3O+f6CqrktyVpITm2avTHJdkquBVwKnjiZaSUNif0GaQK1920VV7Uqy0JnYG3jPQmcCmKuqrXQ6EycCu4A7sTMhTTTzgqTFVNU2YFvPvjO7ts8Azhh2XJJGw/6CNJlaKz6AnQlJ3828IEmSVmJ/QZo8o15wUpIkSZIkTTiLD5IkSZIkqVUWHyRJkiRJUqssPkiSJEmSpFZZfJAkSZIkSa2y+CBJkiRJklpl8UGSJEmSJLXK4oMkSZIkSWqVxQdJkiRJktQqiw+SJEmSJKlVFh8kSZIkSVKrLD5IkiRJkqRWWXyQJEmSJEmtarX4kOSEJF9McmOS1y3y+L5JLmwevzzJpjbjkTR65gVJvcwLknqZF6TJ01rxIcnewNuAZwNHAC9MckRPs5cC/1ZVjwX+FHhDW/FIGj3zgqRe5gVJvcwL0mRqc+TDccCNVfXlqvoP4P3AST1tTgLOb7Y/CDwjSVqMSdJomRck9TIvSOplXpAmUJvFh4OBm7vu39LsW7RNVe0C7gIe0WJMkkbLvCCpl3lBUi/zgjSB9hl1AP1IshnY3NzdmeSLo4xnEQcCXx/mC+aPf2GYL7enhv7+8Pp1V/ge/mfolSu+R48aRhxrZV74buaFPqyv3GBeWCXzwnczL/TBvLAs80LrzAvLMy+sbN3khTaLD7cCh3bdP6TZt1ibW5LsAzwMuKP3QFW1BdjSUpx7LMlcVc2OOo5x5fuzsil6j8wLAnx/+jFF75F5QYDvTz+m6D0yLwjw/enHenqP2px2cQVweJLDkjwIOAXY2tNmK7BQejsZ+GRVVYsxSRot84KkXuYFSb3MC9IEam3kQ1XtSnI68HFgb+A9VXVdkrOAuaraCrwb+IskNwJ30kkskiaUeUFSL/OCpF7mBWkyxQLhnkuyuRnSpUX4/qzM92jy+H+6PN+flfkeTR7/T5fn+7My36PJ4//p8nx/Vrae3iOLD5IkSZIkqVVtrvkgSZIkSZK0Pr5qcxSSPAL4RHP3kcB9wHxz/7iq+o+RBDZmkpwIHFFVf7jK5/1TVf1QS2GNhST3Add07frJqrppibY7q+qhQwlMa+L/Z3/Mnf0xd04OP/P98TO/NH+/TB7zwvL8zPdv0nKn0y76kOS3gZ1V9cdd+/apql2ji0rjbjXJctoT63rg/+fqmTs1bfzMay38/TLZzAvfzc/89HLaxSokOS/JOUkuB/4oyW8neU3X49cm2dRs/3ySzyW5Ksk7k+w9orDXLMmmJF9ofu4vJXlvkmcmuTTJPyc5LsmpSc5u2v908x5cneSSZt/ju96HHUkOb/bvbP49Psmnknywea33Jknz2HOafduTvCXJR0f1XgxCkocm+USSK5Nck+SkRdoclOSS5v26NsmPNPt/LMlnm+f+dRKT8Ij5/9k/c6e5c9r4mfczvyf8/TKZpi0vrMa0fuanMXdafFi9Q4AfqqpfX6pBkv8GvAB4SlUdTWeo1c8NKb5BeyzwJ8DjmtvPAj8MvAb4zZ62ZwI/XlVHASc2+14OvLl5H2aBWxZ5jWOAVwFHAI8GnpJkP+CdwLOr6lhgZpA/1JA8uEkEVyX5G+DfgZ+qqicCTwP+ZOHk7/KzwMeb9+so4KokBwK/BTyzee4csOTnT63x/3PPmDvNndPGz7yf+X75+2V6TFteWIqf+QdMVe50zYfV++uqum+FNs8AjgWuaM6bBwO3tx1YS/61qq4BSHId8ImqqiTXAJt62l4KnJfkA8CHm32fBf5HkkOAD1fVPy/yGp+rqlua17iqOe5O4MtV9a9Nm/cBmwf3Yw3FPU0iACDJBuD3kzwV+A5wMPB9wP/ues4VwHuatn9bVVcl+VE6yeLS5vP0IDrvq4bL/889Y+40d04bP/N+5vvl75fpMW15YSl+5h8wVbnT4sPq/Z+u7V3sPnpkv+bfAOdX1RlDi6o993Ztf6fr/nfo+fxU1cuTPAl4LrA9ybFV9VfpDC97LrAtycuq6pPLvMZ9vcedID9Hp6p4bFV9O8lNPPCZAaCqLmkS73PpJJc3Af8GXFRVLxx2wFqW/5+rY+58YNvcOR38zD+w7Wd+dfz9MrmmLS/0a5o/81OVO512sWduAp4IkOSJwGHN/k8AJyf5z81jD0/yqJFEOERJHlNVl1fVmXRW9D00yaPpVNXeAvxP4Al9Hu6LwKPTzH2jM/xsvXsYcHuTVJ8GfNdnovmcfK2q3gWcS+fzdRmd4VGPbdo8JMl/HWLcWpz/n2t3E+bO+5k7p8JN+Jm/n5/5Ffn7ZTrchHlhgZ/5PkxC7pzUivGwfAh4cTNE5nLgSwBVdX2S3wL+IclewLeB04CvjCzS4XhjOouchE7ivBr478CLknybztCp3+/nQFV1T5JfBv4+yf+hM9RqvXsv8JFmGNUc8IVF2hwPvLZ5v3YCL66q+SSnAu9Lsm/T7rdoPm8aGf8/187cuTtz5+TzM787P/PL8/fLdDAvPMDPfH/Wfe70qzY1tpI8tKp2pjOJ623AP1fVn446LkkaZ+ZOTRs/85K0eqPInU670Dj7v9NZFOU6OsOx3jnieCRpPTB3atr4mZek1Rt67nTkgyRJkiRJapUjHyRJkiRJUqssPkiSJEmSpFZZfJAkSZIkSa2y+KC+JXlkkvcn+Zck25NsW+q7dJMc0Hx9i6QBS3JfkquSXJvkI0kOWMMxjk7ynDbiG2QMSTYluSfJ55PckORzzddqrXTs45N8tNk+McnrBhS2NJamJS8k+YHm57wqyZ1J/rXZ/scl2n8qyewqXv/xST6Z5ItJ/jnJ/9OsBL/cc+zzSCtIsrPn/qlJzl7lMZY8/5N8Ocn397T/syT/fRDxazAsPqgvzS/evwE+VVWPqapjgTOA71viKQcAq/pFnA4/k9LK7qmqo6vqSOBOOt//vVpHAwP7IyPJ3i3G8C9VdUxV/TfgFOBVSV7S74tU1daq+sM1xLebJPvs6TGkFk1FXqiqa5qf82hgK/Da5v4z1xrngiQPbo75h1X1/cBRwA+xcn9m1X0eSau3wvn/fjp9BACavylObvZrTPiHnvr1NODbVXXOwo6quhr4fJJPJLkyyTVJTmoe/kPgMU018o0ASV6b5IokO5L8TrNvU3N14QLgWuDQJOc1V26uSfJrw/0xpXXns8DBAEkek+Tvm5FJn07yuGb/Tzfn1NVJLknyIOAs4AXNOfqCJMcl+WwzwuCfFq4e9F6ZSPLRJMc32zuT/EmSq4EfTHJmc45fm2TLwtXC5srjG5pRC19K8iNLxPCjXVc0Pp/ke3t/2Kr6MvDrwCubYz8kyXuaY3++Kwfdb+FnSPKwJF9ZKHI2z705yYZl3rvzkpyT5HLgj5oroTPNY3sluXHhvjRGpiovNMdb9HW6Ht+rOZ//3yR7J3ljHuiTvKxp9rPApVX1DwBV9S3gdOB1zTF+O8lruo55bZJNLNLnkdS/JD+R5PLmHP/HJN/X7O/r/G+8D3hB1/2nAl+pqq+0GbtWx6s46teRwPZF9v878FNVdXeSA4HLkmyl84v6yKYySZIfAw4HjgMCbE3yVOCrzf5fqKrLkhwLHNxcuSFrGDYqTYt0rio+A3h3s2sL8PKq+uckTwLeDjwdOBP48aq6NckBVfUfSc4EZqvq9OZY+wM/UlW7kjwT+H3g+SuE8BDg8qp6dXOM66vqrGb7L4DnAR9p2u5TVcelM5z69VX1zEVi+AhwWlVdmuShdPLLYq4EHtds/w/gk1X1i02++FyWGH5dVXel833WPwpc3MT38ar6dpKl3juAQ4Afqqr7ktwF/BzwZ8Azgauran6F90kaminOC2cv9zrAe4Frq+r3kmwG7qqq/yvJvsClSf4BeDw9fZ2q+pckD23ei6Xs1ueRtKgHN7+DFzyczugFgM8AT66qSvJLwG8ArwZeQ3/nP1V1TZLvJDmquUB6Cp2ChMaIxQftqQC/3xQSvkPnSstiUzF+rLl9vrn/UDpFh6/SqUpe1uz/MvDoJG8F/g74hxZjl9arhV/gBwM3ABc1v5R/CPjrrgt++zb/Xgqcl+QDwIeXOObDgPOTHA4UsKGPOO4DPtR1/2lJfgP4Hjqdiut4oPO/8LrbgU1LHO9S4E1J3gt8uKpuyeJTrbt3/hhwYtfVyP2AjcvEfCGdKyMX0+mYvH2F9w7gr6vqvmb7PcD/pFN8+EXgz5d5LWmYpiYvLNFuudd5J/CBqvq95v6PAU9IcnLXz3l4Hz+bpLW7p7tAl876TQvrsRwCXJjkIOBBwL82+/s9/xe8DzglyXXATwKvH2D8GgCnXahf1wHHLrL/54AZ4NgmoXyNTue/V4A/WJinVVWPraS4UTcAACAASURBVKqFqzL/Z6FRVf0bnTmWnwJeDpw7uB9BmhgLv8AfRefcOo1OPv9G1zl2dLNGAlX1cuC3gEOB7Ukescgxfxe4uBl19BM8cB7vYvffFd3n978v/FGeZD86V1RPrqofAN7V0/be5t/7WKLw3azL8EvAg+lciXzcYu2AY+j8cUXz8z+/62feWFU3LPE86FxlOSHJw+nktE+yzHvX6M5RNwNfS/J0OiO5PrbMa0nDNLV5oY/X+Sc6xYmFfQF+pes9OayZanE9PX2dJI8GdlbV3Sv83JLW7q10Ri/9APAymnNrFf2CBe8HfobOyMQdVfW19kLWWlh8UL8+CezbDFUEIMkT6HRybm+GLT+tuQ/wTaB7XtbHgV9srsKQ5OAk/7n3RZqpG3tV1YfodIqe2MpPI02AZj7yK+kMTfwW8K9JfhruX8D1qGb7MVV1eVWdCczT+WOj9xx9GHBrs31q1/6bgKPTmS99KJ0/uBez0An/enOen7xEu267xdDEeU1VvQG4ggemVtDVZhPwx3Q6KtDJLb+S3D+P/JjlXrCqdjbHfjPw0aq6r/mjYtH3bgnnAn/J7iMipLEwjXmhj9d5N7AN+EA6C8d+HHhFkg3Na/zXJA+hMzXjh5spJgsLUL4F+KOun/uJzWNPBA5bLGZJq9ada35hYWef5//9qupfgK/TWYfFKRdjyOKD+lJVBfwU8Mx0vmrzOuAP6Pwyn01yDfBi4AtN+zvoVCivTfLG5orCXwGfbdp+kMV/UR8MfKoZOvqXdL5RQ9ISqurzwA7ghXRGIr00nYXergMWFl98YzoLuF5L5wrg1XSmHRyRZlE3Op3rP0jyeXa/AnkpneGP19PphF+5RBzfoHO18Vo6Hfsr+gi/N4ZXNTljB/BtHhhV8Jg0X7UJfAB4S1UtTHf4XTpDwXc0eel3+3jdC4Gfb/5dsNR7t5itdKaOOeVCY2lK8sKqXqeq3kRn6udf0CkgXg9c2fz876Sz/sQ9zfvzW0m+CFzTHGthcc0PAQ9vcs3pwJeaY+/W5+njZ5S0u9+mMz1sO53iwYIVz/9FvI9OkWKp6WQaoXT+ppQkSf1IMgv8aVX9yKhjkSRJWi9ccFKSpD4leR3wCjpXkyVJktQnRz5IkiRJkqRWueaDJElaF5Ls3az/8dFRxyJJklbH4oMkSVovfpUHvmZVkiStI2NRfPBKhiRJWk6SQ4Dn0vmmAkmStM6My4KTC1cy9l+p4YEHHlibNm1qPSBp2m3fvv3rVTUz6jj6YV6QhmPEeeHPgN9g8a9pBiDJZmAzwEMe8pBjH/e4Zb8SXtIA2F+Q1GupvDDy4kPXlYzfA359pfabNm1ibm6u9bikaZfkK6OOoV/mBWk4RpUXkjwPuL2qtic5fql2VbUF2AIwOztb5gWpffYXJPVaKi+Mw7SLhSsZ31mqQZLNSeaSzM3Pzw8vMkmSNA6eApyY5Cbg/cDTk/zlaEOSJEmrMdLiQ/eVjOXaVdWWqpqtqtmZmXUxqkuSJA1IVZ1RVYdU1SbgFOCTVfXzIw5LkiStwqhHPnglQ5IkSZKkCTfS4oNXMiRJ0mpU1aeq6nmjjkOSJK3OqEc+SJIkSZKkCTfyb7tYUFWfAj414jAkSZIkSdKAOfJBkiRJkiS1amxGPkjj4ilvfcqoQxiKS3/l0lGHMBTHvvaCUYcwNNvf+OJRhzCxzAvS8sbpHPFzLGlUxikXtmmtedbigyRJkjSmzn71R0Ydwv1O/5OfGHUIktYxp11IkiRJkqRWWXyQJEmSJEmtctqFpKFJsh9wCbAvnfzzwap6fU+bU4E3Arc2u86uqnOHGackabL9r6f+6KhDuN+PXvK/Rh2CJA2FxQdJw3Qv8PSq2plkA/CZJB+rqst62l1YVaePID5JkiRJLbD4MGW+etYPjDqEodh45jWjDkGLqKoCdjZ3NzS3Gl1EkiRJkobBNR8kDVWSvZNcBdwOXFRVly/S7PlJdiT5YJJDlzjO5iRzSebm5+dbjVmSJEnSnnHkg6Shqqr7gKOTHAD8TZIjq+rariYfAd5XVfcmeRlwPvD0RY6zBdgCMDs76+iJPTAtI6LAUVGSJEmj4sgHSSNRVd8ALgZO6Nl/R1Xd29w9Fzh22LFJkiRJGiyLD5KGJslMM+KBJA8GngV8oafNQV13TwRuGF6EkiRp1JLsl+RzSa5Ocl2S31mkzalJ5pNc1dx+aRSxSuqf0y4kDdNBwPlJ9qZT/PxAVX00yVnAXFVtBV6Z5ERgF3AncOrIopWkERmn6VBOV9IIjOTbsY597QWDOtRY2/7GF486BE2piSo+TEvCAJOG1qeq2gEcs8j+M7u2zwDOGGZckiRpfPjtWONpnIqibbPo2o6JKj5IkiQtZZwuUngRQVpeM0pyO/BY4G3LfDvWU4EvAb9WVTcvcpzNwGaAjRs3thixpJW45oMkSZKksVJV91XV0cAhwHFJjuxp8hFgU1U9AbiIzrdjLXacLVU1W1WzMzMz7QYtaVkWHyRJkiSNJb8dS5ocFh8kSZIkjQ2/HUuaTK75IEmSJGmc+O1Y0gSy+CBJkiRpbPjtWNJkctqFJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJEmSJElSqyw+SJIkSZKkVll8kCRJkiRJrbL4IEmSJEmSWmXxQZIkSZIktcrig6ShSbJfks8luTrJdUl+Z5E2+ya5MMmNSS5Psmn4kUqSJEkaJIsPkobpXuDpVXUUcDRwQpIn97R5KfBvVfVY4E+BNww5RkmSJEkDZvFB0tBUx87m7obmVj3NTgLOb7Y/CDwjSYYUoiRJkqQWWHyQNFRJ9k5yFXA7cFFVXd7T5GDgZoCq2gXcBTxikeNsTjKXZG5+fr7tsCVJkiTtAYsPkoaqqu6rqqOBQ4Djkhy5xuNsqarZqpqdmZkZbJCSJEmSBsrig6SRqKpvABcDJ/Q8dCtwKECSfYCHAXcMNzpJ46afBWslTQYXqJYmk8UHSUOTZCbJAc32g4FnAV/oabYV+IVm+2Tgk1XVuy6EpOnTz4K1kiaDC1RLE2jkxQevZEhT5SDg4iQ7gCvorPnw0SRnJTmxafNu4BFJbgR+HXjdiGKVNEb6XLBW0gRwgWppMu0z6gB4oLK5M8kG4DNJPlZVl406MEmDVVU7gGMW2X9m1/a/Az89zLgkrQ9J9ga2A48F3ta7YG2SzcBmgI0bNw4/QEkDs9L5Ts8C1UkWFqj+es9xzAvSmBj5yAevZEiSpH6stGCtC9FKk8MFqqXJM/LiA6z81Xt+pZ4kSVqwzIK1kiaMC1RLk2Msig9eyZAkScvpc8FaSRPABaqlyTQOaz7cr6q+kWShsnntqOORJElj4yDg/GYe+F7AB6rqoyOOSVI7Fj3fk5wFzFXVVjoLVP9Fs0D1ncApowtXUj9GXnxIMgN8uyk8LFQ2/aocSZJ0v6UWrJU0eVygWppMIy8+4JUMSZIkSZIm2siLD17JkCRJkiRpso3FgpOSJEmSJGlyWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJA1NkkOTXJzk+iTXJfnVRdocn+SuJFc1tzNHEaskSZKkwdln1AFImiq7gFdX1ZVJvhfYnuSiqrq+p92nq+p5I4hPkiRJUgsc+SBpaKrqtqq6stn+JnADcPBoo5IkSZLUNosPkkYiySbgGODyRR7+wSRXJ/lYkscv8fzNSeaSzM3Pz7cYqSRJkqQ9ZfFB0tAleSjwIeBVVXV3z8NXAo+qqqOAtwJ/u9gxqmpLVc1W1ezMzEy7AUuSpKFxjShpMrnmg6ShSrKBTuHhvVX14d7Hu4sRVbUtyduTHFhVXx9mnJIkaWRcI0qaQI58kDQ0SQK8G7ihqt60RJtHNu1IchydPHXH8KKUJEmj5BpR0mRy5IOkYXoK8CLgmiRXNft+E9gIUFXnACcDr0iyC7gHOKWqahTBSpKk0epnjSjg/wNeU1XXLfL8zcBmgI0bN7YXqKQVWXyQNDRV9RkgK7Q5Gzh7OBFJkqRx1ecaUTuTPIfOGlGH9x6jqrYAWwBmZ2e9mCGNkNMuJEmSJI2VftaIqqqdzfY2YEOSA4ccpqRVsPggSZIkaWy4RpQ0mZx2IUmSJGmcuEaUNIEsPkiSJEkaG64RJU0mp11IkiRJkqRWWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVa0UH5LslWT/No4tafx4zktaC3OHNF0856XpNrDiQ5K/SrJ/kocA1wLXJ3ntoI4vabx4zktaC3OHNF085yUtGOTIhyOq6m7gJ4GPAYcBLxrg8SWNF895SWth7pCmi+e8JGCwxYcNSTbQSSxbq+rbQA3w+JLGy6rP+SSHJrk4yfVJrkvyq4u0SZK3JLkxyY4kT2wpfkmjYX9Bmi6e85KAwRYfzgFuAh4CXJLkUcDdAzy+pPGylnN+F/DqqjoCeDJwWpIjeto8Gzi8uW0G3jHIoCWNnP0Fabp4zksCYJ9BHCTJXsDXqurgrn1fBZ42iONLGi9rPeer6jbgtmb7m0luAA4Gru9qdhJwQVUVcFmSA5Ic1DxX0jpmf0GaLp7zkroNZORDVX0H+I2efVVVuwZxfEnjZRDnfJJNwDHA5T0PHQzc3HX/lmZf7/M3J5lLMjc/P9/vy0oaIfsL0nRZ6znvNE1pMg1y2sU/JnlNkywevnBb6Un9JBdJY2lN5zxAkocCHwJe1SxCtWpVtaWqZqtqdmZmZi2HkDQa9hek6bKWc95pmtIEGsi0i8YLmn9P69pXwKNXeN5CcrkyyfcC25NcVFXXr/A8SaO1pnO+WXTqQ8B7q+rDizS5FTi06/4hzT5Jk8H+gjRdVn3OO01TmkwDKz5U1WFrfF4/yUXSmFnLOZ8kwLuBG6rqTUs02wqcnuT9wJOAu+xISJPD/oI0XdZ6zi9YwzRN+wzSmBrkyAeSHAkcAey3sK+qLljF8zexeHKRNIbWcM4/hc53e1+T5Kpm328CG5vnngNsA54D3Ah8C3jJ4COXNEpt9ReSbKYz/JqNGzcOIFJJg7DWc34Q0zTNC9L4GFjxIcnrgePpJJZtdOZhfQboqzOxXHIxaUjjZy3nfFV9Bshyx22GT562XBtJ61eb/YWq2gJsAZidna3BRS1prdZ6zg9qmqZ5QRofg1xw8mTgGcD/rqqXAEcBD+vniSslFxeWk8bSms95SVOttf6CpLG06nN+FdM0X9x868WTcZqmNPYGOe3inqr6TpJdSfYHbmf3auSi+kwuksbPms55SVPP/oI0XdZyzjtNU5pAgyw+zCU5AHgXsB3YCXy2j+ctmlyqatsAY5M0eGs95yVNN/sL0nRZ9TnvNE1pMg3y2y5+udk8J8nfA/tX1Y4+nrdicpE0ftZ6zkuabvYXpOlif0HSgoGt+ZDkEwvbVXVTVe3o3idpsnjOS1oLc4c0XTznJS3Y45EPSfYDvgc4MMl/4oGrEvvT+a5dSRPEc17SWpg7pOniOS+p1yCmXbwMeBXwX+jM4wpQwDeBtw7g+JLGi+e8pLUwd0jTxXNe0m72eNpFVb25qg4Dfg84utn+c+DLuPicNHE85yWthblDmi6e85J6DWzNB+Dkqro7yQ8DTwfOBd4xwONLGi+e85LWwtwhTRfPeUnAYIsP9zX/Phd4V1X9HfCgAR5f0njxnJe0FuYOabp4zksCBlt8uDXJO4EXANuS7Dvg40saL57zktbC3CFNF895ScBgT/yfAT4O/HhVfQN4OPDaAR5f0njxnJe0FuYOabp4zksCBvNtFwBU1beAD3fdvw24bVDHlzRePOclrYW5Q5ounvOSFjjkSZIkSZIktcrig6ShSfKeJLcnuXaJx49PcleSq5rbmcOOUZIkSdLgDWzahST14TzgbOCCZdp8uqqeN5xwJEmSJA2DIx8kDU1VXQLcOeo4JEmSJA2XxQdJ4+YHk1yd5GNJHr9UoySbk8wlmZufnx9mfJIkqUVO05Qmk8UHSePkSuBRVXUU8Fbgb5dqWFVbqmq2qmZnZmaGFqAkSWrdecAJK7T5dFUd3dzOGkJMkvaQxQdJY6Oq7q6qnc32NmBDkgNHHJYkSRoip2lKk8nig6SxkeSRSdJsH0cnR90x2qgkSdIYcpqmtM74bReShibJ+4DjgQOT3AK8HtgAUFXnACcDr0iyC7gHOKWqakThSpKk8bQwTXNnkufQmaZ5+GINq2oLsAVgdnbWPoU0QhYfJA1NVb1whcfPpvNVnJIkSYuqqru7trcleXuSA6vq66OMS9LynHYhSZIkad1wmqa0PjnyQZIkSdLYcJqmNJksPkiSJEkaG07TlCaT0y4kSZIkSVKrLD5IkiRJkqRWWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJEmSJElSqyw+SJIkSZKkVll8kCRJkiRJrbL4IGlokrwnye1Jrl3i8SR5S5Ibk+xI8sRhxyhJkiRp8Cw+SBqm84ATlnn82cDhzW0z8I4hxCRJkiSpZSMvPqx0JVTS5KiqS4A7l2lyEnBBdVwGHJDkoOFEJ2mc2V+QpoujJaXJM/LiAytfCZU0PQ4Gbu66f0uz77sk2ZxkLsnc/Pz8UIKTNFLnYX9Bmibn4WhJaaKMvPjQx5VQSfouVbWlqmaranZmZmbU4Uhqmf0Fabo4WlKaPCMvPvTDK5zS1LgVOLTr/iHNPklakf0Faar0NVrSvCCNj3VRfPAKpzQ1tgIvbuZxPhm4q6puG3VQktYH+wuSepkXpPGxz6gDkDQ9krwPOB44MMktwOuBDQBVdQ6wDXgOcCPwLeAlo4lUkiSNOUdLSuuMxQdJQ1NVL1zh8QJOG1I4kiRp/doKnJ7k/cCTcLSkNPZGPu2iuRL6WeD7k9yS5KWjjkmSJI0X+wvSdFnsnE/y8iQvb5psA75MZ7Tku4BfHlGokvo08pEPK10JlSRJsr8gTRdHS0qTZ+QjHyRJkiRJ0mSz+CBJkiRJklpl8UGSJEmSJLXK4oMkSZIkSWqVxQdJkiRJktQqiw+SJEmSJKlVFh8kSZIkSVKrLD5IkiRJkqRWWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSUOV5IQkX0xyY5LXLfL4qUnmk1zV3H5pFHFKkiRJGhyLD5KGJsnewNuAZwNHAC9McsQiTS+sqqOb27lDDVKSJI2cFyukybPPqAOQNFWOA26sqi8DJHk/cBJw/UijkiRJY6PrYsWzgFuAK5Jsrare/sKFVXX60AOUtCaOfJA0TAcDN3fdv6XZ1+v5SXYk+WCSQxc7UJLNSeaSzM3Pz7cRqyRJGo37L1ZU1X8ACxcrJK1jFh8kjZuPAJuq6gnARcD5izWqqi1VNVtVszMzM0MNUJIktcqLFdIEsvggaZhuBbo7B4c0++5XVXdU1b3N3XOBY4cUmyRJWj+8WCGtMxYfJA3TFcDhSQ5L8iDgFGBrd4MkB3XdPRG4YYjxSZKk0fNihTSBXHBS0tBU1a4kpwMfB/YG3lNV1yU5C5irqq3AK5OcCOwC7gROHVnAkiRpFO6/WEGn6HAK8LPdDZIcVFW3NXe9WCGtAxYfJA1VVW0DtvXsO7Nr+wzgjGHHJUmSxoMXK6TJZPFB0v/P3p2HW1LV9/5/fwSkUQQH+iaEwUZFDaKg9HUIDjjE4BAwCUaME/mZS0w0aqKYaLxIvBk0Ro2KRlskoMFZUEQcCEJQBKSBhmZwIEoiRKUd0LQiEfz+/qh16M3mzH3q7H3Oeb+eZz+ndu21q767TtW3Vq1aVSVJkjRWPFkhLT/e80GSJEmSJPXKxgdJkiRJktQrGx8kSZIkSVKvbHyQJEmSJEm9svFBkiRJkiT1ysYHSZIkSZLUKxsfJEmSJElSr2x8kCRJkiRJvbLxQZIkSZIk9crGB0mSJEmS1CsbHyRJkiRJUq9sfJAkSZIkSb2y8UGSJEmSJPVqLBofkhyc5KtJrk7yF6OOR1J/Ztrek2yf5EPt8wuSrFn8KCWNI+sL0sphfUFafkbe+JBkG+DtwJOAfYBnJtlntFFJ6sMst/fnAz+sqvsAbwZev7hRShpH1heklcP6grQ8jbzxAXgocHVVfaOq/gf4IHDoiGOS1I/ZbO+HAie24Y8Cj0+SRYxR0niyviCtHNYXpGUoVTXaAJLDgIOr6g/a++cAD6uqFw2UORI4sr29H/DVRQ90ersA3xt1EGPM5TOzcVxG96yq1Qs5wVlu75e3Mte29//eynxvaFrmhaXN5TOzcVxGC54XZmuM6gvj+H+ZzlKKdynFCsY7wfrC1llq69Fic/nMbByX0aR5YdtRRDJXVbUOWDfqOKaSZH1VrR11HOPK5TMzl9HcmReWNpfPzFxGc7cYeWGp/V+WUrxLKVYw3qXC+sLS5vKZ2VJaRuNw2cV1wB4D73dv4yQtP7PZ3m8tk2RbYGfg+4sSnaRxZn1BWjmsL0jL0Dg0PlwI7J1kryR3BA4HTh1xTJL6MZvt/VTgeW34MODzNerrwySNA+sL0sphfUFahkZ+2UVV3ZzkRcBngW2A46vqihGHNVdj25VrTLh8ZrYiltFU23uS1wLrq+pU4D3A+5JcDfyArsKxFK2I/+lWcPnMzGU0YIzqC0vt/7KU4l1KsYLx9sb6gga4fGa2ZJbRyG84KUmSJEmSlrdxuOxCkiRJkiQtYzY+SJIkSZKkXtn4MIUk90iyob2+k+S6gfd3HHV84yLJIUn+Yh7f+1If8YyTJLcMrDMbkqyZpuzmxYtM82VemJ7r/OyZO8dbkuOTXJ/k8ik+T5K3Jrk6yWVJHrLYMQ7Fs0eSs5JcmeSKJC+ZpMxIY16q63ySVUm+nOTStmz/apIy2yf5UFu2F0yX+xZDkm2SXJLktEk+G6tYlyvrC9OzvjB7SzV3TsV7PsxCkmOAzVX1DwPjtq2qm0cXlcZdks1VteNCl9V4MC/cnuu8loskjwY2A++tqn0n+fzJwJ8ATwYeBrylqh62uFHeJp5dgV2r6uIkdwEuAp5WVVcOlBmrmJeKJAHuXFWbk2wHfBF4SVWdP1Dmj4EHVdULkhwO/FZVPWNEIZPkz4C1wE5V9dShz8Yq1pXA+sLtWV9Yuez5MAdJTkjyziQXAH+f5JgkLx/4/PKJlrskz24t5RuSvCvJNiMKe96SrEnylfa7v5bkpCRPSHJukq8neWiSI5Ic28o/vS2DS5Oc08Y9YGA5XJZk7zZ+c/t7UJKzk3y0zeuktqMnyZPbuIva2ZrbteAvJUl2THJmkouTbExy6CRldk1yTltelyd5VBv/xCTnte9+JIlJeEystLwwFyt1nTd3Ln1VdQ7d3fOncihdw0S1g9C7pmsAGImq+nZVXdyG/xu4CthtqFhvMS/ndb4tr4kzr9u11/CZu0OBE9vwR4HHT8S22JLsDjwFOG6KImMT60pjfWFq1heWX+6cio0Pc7c78GtV9WdTFUjyq8AzgAOran/gFuBZixTfQrsP8Ebg/u31e8AjgZcDrxoqezTwG1W1H3BIG/cCurMr+9O1wl87yTweDLwU2Ae4F3BgklXAu4AnVdUBwOqF/FGLZIds6U52CvAzujMMDwEeC7xxkh3+7wGfbctrP2BDkl2AVwNPaN9dD0y5/mkkVlpemIrr/BbmzuVtN+BbA++v5fYH+yPRDl4eDFww9FHfMS/bdT7dZQwbgOuBM6pqymXbzmb/CLjHQscxS/8IvAL4xRSfj1OsK5H1hY71hS2Wbe6czLaLMZNl5iNVdcsMZR4PHABc2LabHeh2WEvRN6tqI0CSK4Azq6qSbATWDJU9FzghyYeBk9u484C/bC3xJ1fV1yeZx5er6to2jw1tupuBb1TVN1uZDwBHLtzPWhQ3tkQAQLrumn+brjvvL+gqAL8EfGfgOxcCx7eyH6+qDUkeQ5cszm3r0x3plqvGx0rLC1Nxnd/C3KlF1874fQx4aVX9eJFnv2zX+Zbf909yV+CUJPtW1aT3AxmlJE8Frq+qi5IcNOp4NCnrCx3rC1ss29w5GXs+zN1PBoZv5rbLcFX7G+DEqtq/ve5XVccsVoAL7KaB4V8MvP8FQ41XVfUCutbHPYCLktyjqt5P1zJ3I3B6ksfNMI9bhqe7jDyLrlXxgJZwv8uWdQa4tavvo4Hr6JLLc+nWpzMG1qd9qur5ixy7prfS8sJsreR13ty5vF1H9/+asHsbNzKtQv4x4KSqOnmSIn3HvOzX+aq6ATgLOHjoo1uXbZJtgZ2B7y9mbM2BwCFJrgE+CDwuyb8MlRmXWFcq6wuTs77QWZa5c5CND1vnGuAhAOnuGr1XG38mcFiS/9U+u3uSe44kwkWU5N5VdUFVHQ1sAvZIci+6VrW3Ap8AHjTLyX0VuFe23P12OdwMaWe6MxI/T/JY4HbrRFtPvltV76a7XvMhwPl03aPu08rcOcl9FzFuzc01mBcmuM7PgrlzSToVeG46Dwd+VFXfHlUwrXvye4CrqupNUxQbm5iX0jqfZHXr8UCSHYBfB74yVOxU4Hlt+DDg81WLf0f3qnplVe1eVWuAw1sczx4qNhaxCrC+MMj6wiwspdw5Fc+SbJ2P0e3Ir6C7tvJrAFV1ZZJXA59Lcgfg58ALgf8YWaSL4w3pbnISusR5KfDnwHOS/Jyu69TfzmZCVXVjujsyfybJT+i6Wi11JwGfbN2o1nP7ygvAQcBRbXltBp5bVZuSHAF8IMn2rdyraeubxo55YQvX+dkxd46ZJB+gWzd3SXIt8Bq6Gw1SVe8ETqd7asTVwE+B3x9NpLc6EHgOsLF1qYXuWuE9YSxjXkrr/K7Aielu+HcH4MNVdVqS1wLrq+pUuoaf9yW5mu5GpYcvcAxbZSnFusJYi9oeyQAAIABJREFUX9jC+sLsLKXcOSkftamxlWTH6h5tFeDtwNer6s2jjkuSxpm5UyuN67wkzd0ocqeXXWic/Z92BucKuu5Y7xpxPJK0FJg7tdK4zkvS3C167rTngyRJkiRJ6pU9HyRJkiRJUq9sfJAkSZIkSb2y8UGSJEmSJPXKxocFlOSWJBuSXJrk4iS/Ns/pvCDJcxc6vinmtW2STUletxjza/N8WpJ9ZlHuSUnWJ7kyySVJ3riV893c/v5Kko+24f2TPLnn+V6TZJetmYa0NZLsnuQTSb6e5N+TvCXJHWf4zqum+eyYJC9foNjul+TsljuvSrJuntO5a3tk1MT7W7dzaakaqFdcnuSTSe46j2ncbj+32GYTQ5I1SW5sv/fKJO9sjxkcLjfvbTvJCUm+OVBXe/x8pjPPee+R5Kz2265I8pLFmre0UJL8UpL3J/lGkouSnJfktxZgumcnWduGr0mysW2nG+ZyPJXkiCTHtuE7JDkxyfHpnD5ZDl3IOo1mZuPDwrqxqvavqv2AVwJ/N5+JVNU7q+q9CxvalH6d7lm4T2+PWVkMTwOmbXxIsi9wLPDsqtoHWEv3bPLhctvOdeZV9V9VdVh7uz/dc8/nNN9p4p5zPFKf2nZ9MvDxqtobuC+wI/A3M3x1ysaHBYxtW+CtwJtb7vxV4G3znNxdgVsbH4a2c2mpmqhX7Av8AHjhPKZxm/3c1kqyTY8x/HtV7Q88iK6e8LSheW+7ANv2UW0eLwXeuRXTmaubgZe1usXDgRfO5kSMNC5afeLjwDlVda+qOgA4HNi9h9k9tuW+/avqS7OMb9uB4dBt39sBf1CdJ1fVDT3Eqjmw8aE/OwE/BEhyUJLTJj5IcmySI9rw61or+GVJ/qGNu7UFrrUEvj7Jl5N8Lcmj2vhtkrwhyYXtu3/Yxu+a5JyBMyWPamVPaO83JvnTgTifCbwF+E/gEQMxHpyu98alSc5s43ZM8s9tGpcl+Z02/omt5fPiJB9JsmMbf02Sv2/lv5zkPq318hDgDS3Geyd58cAy+GAL4RXA31TVVwCq6paq+qc23RPaGZELgL9v0/hMa4H9QpL7t3J7tbg2Jvnrgd+2pi2LOwKvBZ7RYnnGDPP9zSQXpOsN8a9Jfmng//W+JOcC70tyjySfS3dm4zggrdydk3yqLdPL2/ykvj0O+FlV/TN06zTwp8D/l+SPJ84QACQ5reWr1wE7tO3ipPbZX7Yc9EXgfgPf2T/J+W37PSXJ3WYYf3aSf0yyHngJsCtw7cT0qmpjKzdVjtsxyZkt32xMcmj76uuAe7eY3zCxnbfvHJHk5JYnvp7k7wfif377XV9O8u7B5SGNmfOA3QCm2e89ve1fLm11gdvt55I8tO0bL0nypST3a989IpPkgza8Ockbk1wKPCLJ0W3bvDzJuiQT+7nb1VmmiOEx2XJW85Ikdxn8oVV1M/Al4D4trlOTfB44c2jb3ibJP7Q4LkvyJ238AUn+rS2fzybZdbrl2b7z8Vb+iiRHDozfnORv2jI9f2Dff+/2fmOSv07rXdk+O2ogd/1V+03frqqL2/B/A1cNzl9aAh4H/E9V3dpoV1X/UVVvS7IqW44RLknyWIBpxu+Q5IPpejyeAuww3Yzbdv/5tk2dmWTPNv42xwQDX3krcA/guVX1i1b21p7ImbpOM9kxiRZSVflaoBdwC7AB+ArwI+CANv4g4LSBcscCR9BtFF9lyyNP79r+HgO8vA2fDbyxDT8Z+Nc2fCTw6ja8PbAe2At4GfCXbfw2wF2AA4AzBuY/MZ9VwH/RbfBHAm9r41cD3wL2au/v3v6+HvjHgencDdgFOAe4cxv358DRbfiagVieO7EMgBOAwwam81/A9kOxXQzsN8VyPgE4DdimvT8T2LsNPwz4fBs+lS7pQHe2aHMbXgNc3oaPAI4dmPZ0873bwP/qDwb+L8cAFwE7tPdvHVgGTwGqLaffAd49ML2dR73O+lr+L+DFdD0Lhsdf0j4bXP9PAw5qw5sHxh8AbATuRNewejVbctRlwGPa8GsncsQ0488G3jEw7d+ny5efpmsUmcgBU+W4bYGd2vhdWiwZ3K7bZ8Pb+TfonmG9CvgPYA/gV+jy1N3pzo58YXB5+PI16tfAfmsb4CPAwe39VPu9jcBubXhiWxrez+0EbNuGnwB8bIpyg/mggN8d+OzuA8PvA36zDZ/N5HWW4Wl/EjiwDe/YtuvBbfZOwIXAk9p3r2VLXWSw3B8BHx34PRPb8peA1W3cM4Dj2/AJtPoHXa+K9w//Jro60eXAPQZ++8Tv+3u25KXTgGe24RcM/K+eCKyjy0t3aOUePfR/XUN30menUa9jvnzN9sUU9Yn22csGtrP7t/V71TTj/2xg/IPoegatbe+voctlG4AL2rhPAs9rw/8fXW/OiW168JjgCLpeYucC2w3FeA1dvWG6Os3tjkl8LezLng8La6J75P2Bg4H3TpwNmMKPgJ8B70ny28BPpyh3cvt7Ed0OC7qd23OTbAAuoGvI2JtuZ/37SY4BHlhd6/o3gHsleVuSg4Eft2k8FTirqm4EPgY8LV13yofTdan6JkBV/aCVfwLw9omgquqHrew+wLktlucB9xyI/QMDfx/B5C4DTkrybLrkMxsfqapb0vWy+DXgI23+76I7kwpw4MD83zfL6U5nd+CzSTYCRwEPGPjs1LYcAR4N/AtAVX2K1gOGLtH9ejsr9Kiq+tECxCQthkcBp1TVT6vqx3QNeyTZmW7n/G+t3InAo6caPzC9D00MVNcj41fpDqwOAs5Psj1T57gAf5vkMuBf6c4c/tIsfsOZVfWjqvoZcCVdnnoo8G9V9YOq+nmLQRonO7Rt4Dt06/kZM+z3zgVOSPJ/6BosJrNz++7lwJu57b5sKrfQ1RMmPDZdT8CNdGdDB6cxWZ1l2LnAm5K8mC5XTOz7791+07nAp6rq0238GQN1kUFPAN418f1W5n7AvnTLagPwam7bLfwNSb4GvJ/upMqEF7eeHefTNU7u3cb/D93BzfBvegRbcsb7B6bzxPa6hO6Exv0HpkX7/30MeGnLp9KSlOTtrUfQhcAj2VL3/QpdI/99pxk/WFe+jO5YYNDEZRcPa+8fwZbt7H1tuhM+Ul2vzgkXs2UfP5lJ6zTNfI5JNAc2PvSkqs6ja11bTbfyDi7rVa3MzXQbxkfpGgI+M8Xkbmp/b6E7OwBdBfxPasv1UHtV1eeq6hy6Dfo6ugrIc1sjwX50ZyReABzXpvFM4AlJrqHbod6DrhIxF6GrFEzEsU9VPX9wUUwxPOgpdI0aDwEuTHfN1hV0LZNT+Un7ewfghoH5T1w3PtM8pzLdfN9Gd+bmgcAf0v6PQ/FMqaq+RvcbNwJ/neToOcYmzceVDK3TSXYC9gRuYJLctAhus71Udw338VV1KF2+3JcpchzwLLq8ekB1121/d5Zx3zQwPJhLpXF2Y1vP70m3TbyQafZ7VfUCuoPtPYCLktxjkmn+P7oTD/sCv8mW7WfSukrzs4nKfZJVwDvoehA8EHj3UNnJ6iy3UVWvo+tBuAPdyYv7t4/+vf2eB1fVMQNfmXEfOyDAFQPL5oFV9cSBz4+qqvvS9dQ8vv2mg+gaMh5R3X27Lhn4TT+vqom6xGxyR4C/G5j/farqPW0+29E1PJxUVSdPOxVp/FxBV48FoKpeCDyebp88SsP54SvA7wIfSjKbxtVBkx2TaAHZ+NCTtiPdBvg+XSvfPkm2T3eX1ce3MjvSdb0/na678X5zmMVngT9qOzKS3DfdPQXuCXy3qt5N18jwkHZ90x2q6mN0lZKHtIOPRwF7VtWaqlpDV6l5Jl2r/6OT7NWmffc2zzMYuNlVumu4zwcOTHKfNu7OSe47EOczBv6e14b/m+5yENLdyXqPqjqLriKwM10XzDcAr5qYVro71r5geCG0FstvJnl6K5ckE8vxXLob4UB3wDKZW2NpppvvznSNOtD18JjKOcDvte8/ie5yDZL8CvDTqvqXNp+HTDkFaeGcCdwp7Qk6rXfTG+m6Kn4D2L+t53tw27MEP5/IL3Tr9NPaNZp3oTtgofXe+WHavWiA59D1JJh0/GTBpbu/zEQe+2W6RtDrmCLH0W2H11fVz9u1oxM9rYa35dm4EHhMkru1CsbvzPH70qKoqp/SdXl+GV0vyUn3e0nuXVUXVNXRwCa6RojhbWNwX3bEwPhrmDofDJo4KP9eq8fM5uaPt4mhxbmxql5Ptx3ef8pvTu8M4A8nDhBafeWrwOokj2jjtpviAORY4A5JfoNumfywqn7a6m8Pn8W8z2dLzjh8YPxn6e6pM3H/q92S/K/WE/Y9wFVV9aY5/1Jp9D4PrEryRwPj7tT+foFW12516D3ptsWpxg/Wlfelu/RiOl/itnX6L0xXuLqbVP4RcFra/SEGTFqnmeaYRAvI1pyFNdE9ErqW7+e1MwXfSvJhumsIv0nXog7djvgT7SxC6K5/mq3j6Lr+Xdx2aJvorl88CDgqyc+BzXT3WtgN+OdseWTVK4HfortGdPBs4Cformf8I7rrrU9u37me7qkYfw28vXXVvAX4q6o6Od3NMz/QukpD18DxtTZ8t9Y9+ia6hg2ADwLvbt0tD6e77GTntgzeWt2daG9I8tI23TvR9WC49aadQ54F/FOSV9Nd6/lB4FK6m9m9P8mft982mbOAv2j/t7+rqg9NM99j6Lqq/pAuAe81xTT/qn3/Crpk+Z9t/APpunv+Avg53XKWelVVle4xWO9I8n/pGp1Pp3uaxf/Q5aQr6W5+dvHAV9cBlyW5uKqeleRDdNvV9XQHCxOeB7yzbS/foLuHw3Tjhz0ReEuSn7X3R1XVd9LdrHUNt89xJwGfTNfdez3dGQ6q6vtJzm356dMMXCI2zbK5LsnfAl+mu0Z04n490tipqkva/vSZTL3fe0OSicuTzmzj/pOB/Rzdfv7E9t1PDcziXKbOB4Nx3JDk3XR1mu9w23wwldvsa4FHtsbDX9CdTf00Wy4dmYvj6LpwX9bqPe+uqmOTHAa8tdUttgX+sc1n8HdUuptRv4Lu/hQvSHIV3YHR+bOY90uBf0nyl3Q9V3/Upvu5JL8KnNelLjYDz25xPgfYOFBXfFU7ASWNvbbNPA14c5JX0O2Xf0J3oP4Jupy0ka4X1RFVdVOSd0wx/p/ojk2uoss3F80w+z9p5Y9q852qTjEY7yfTnYD9zMDJEKrq4inqNNvQbdPDxyRaQBM3z5MWXLrLOdZW1fdGHYskTSbJjlW1uZ05PYXuBlinjDouSeOtNaze2A7IDqe7+eShM31PklYyez5IklayY5I8ga4r+efonmEuSTM5ADi29cy6ge4O/JKkadjzQZIkSZIk9cobTkqSJEmSpF7Z+CBJkiRJknpl44MkSZIkSerVkrvh5C677FJr1qwZdRjSsnfRRRd9r6pWjzqO2TAvSIvDvCBpmHlB0rCp8sKSa3xYs2YN69evH3UY0rKX5D9GHcNsmRekxWFekDTMvCBp2FR5wcsuJEmSJElSr2x8kCRJkrQkJdkmySVJTht1LJKmZ+ODJEmSpKXqJcBVow5C0sxsfJAkSZK05CTZHXgKcNyoY5E0MxsfJEmSJC1F/wi8AvjFVAWSHJlkfZL1mzZtWrzIJN2OjQ+SJEmSlpQkTwWur6qLpitXVeuqam1VrV29ekk8EVRatpbcozalvh34tgNHHcKiOPdPzh11CNKSYV6QNMy8MHIHAockeTKwCtgpyb9U1bNHHJdWMPPC9Oz5IEmSJGlJqapXVtXuVbUGOBz4vA0P0niz8UGSJEmSJPXKyy5WmP987QNHHcKi2PPojaMOQZIkSYugqs4Gzh5xGJJmYM8HSZIkSZLUKxsfJEnSyCRZleTLSS5NckWSv5qkzBFJNiXZ0F5/MIpYJUnS/PV22UWSVcA5wPZtPh+tqtcMlTkCeANwXRt1bFUd11dMkiRp7NwEPK6qNifZDvhikk9X1flD5T5UVS8aQXySJFbO5dvgJdx96fOeD1YmJEnStKqqgM3t7XbtVaOLSJIk9aG3xodRVCYOOOq9fU5+rFz0hueOOgRJkhZEkm2Ai4D7AG+vqgsmKfY7SR4NfA3406r61tbMc6XUGawvSJLGRa9Pu1ioykSSI4EjAfbcc88eI5YkSYutqm4B9k9yV+CUJPtW1eUDRT4JfKCqbkryh8CJwOOGp2N9YeHYvVqStNB6bXxYqMpEVa0D1gGsXbvWrpjSEjWKe8GslLOb4BlOLX1VdUOSs4CDgcsHxn9/oNhxwN9P8X3rC5IkjalFedpFVd0ATFQmBsd/v6puam+PAw5YjHgkjczEvWD2A/YHDk7y8EnKfaiq9m8vb0IrLWNJVreTFCTZAfh14CtDZXYdeHsIcNXiRShJkhZCb40PViYkDauON5aTNGhX4KwklwEXAmdU1WlJXpvkkFbmxe0xnJcCLwaOGFGskiRpnvq87GJX4MR234c7AB+eqEwA66vqVLrKxCHAzcAPsDIhLXveC0bSoKq6DHjwJOOPHhh+JfDKxYxLkiQtrD6fdmFlQtLteC+Y8eON5SRJktS3RbnngyQN814wkiRJ0sph44OkReO9YCRJkqSVqddHbUrSEO8FI0mSJK1ANj5IWjTeC0aSJElamWx8kCRJkrTiHXDUe0cdwqK46A3PHXUIWqG854MkSZIkSeqVjQ+SJEmSJKlXNj5IkiRJkqRe2fggSZIkSZJ6ZeODJEmSJEnqlY0PkiRJkiSpVzY+SJIkSZKkXtn4IEmSJEmSemXjgyRJGpkkq5J8OcmlSa5I8leTlNk+yYeSXJ3kgiRrFj9SSZK0NXprfLAyIUmSZuEm4HFVtR+wP3BwkocPlXk+8MOqug/wZuD1ixyjJEnaSn32fLAyIUmSplWdze3tdu1VQ8UOBU5swx8FHp8kixSiJElaAL01PliZkCRJs5FkmyQbgOuBM6rqgqEiuwHfAqiqm4EfAfeYZDpHJlmfZP2mTZv6DluSJM1Br/d8sDIhaZCXY0maTFXdUlX7A7sDD02y7zyns66q1lbV2tWrVy9skJIkaav02vhgZULSEC/HkjSlqroBOAs4eOij64A9AJJsC+wMfH9xo5MkSVtjUZ52YWVCEng5lqTbS7I6yV3b8A7ArwNfGSp2KvC8NnwY8PmqGs4dkiRpjPX5tAsrE5Jux8uxJA3ZFTgryWXAhXR54bQkr01ySCvzHuAeSa4G/gz4ixHFKkmS5mnbHqe9K3Bikm3oGjk+PFGZANZX1al0lYn3tcrED4DDe4xH0hioqluA/Vvj5ClJ9q2qy+cxnXXAOoC1a9faaCktUVV1GfDgScYfPTD8M+DpixmXJElaWL01PliZkDSdqrohycTlWIONDxOXY13r5ViSJEnS8rAo93yQJPByLEmStHBm8xQtSeOjz8suJGmYl2NJkqSFMvEUrc1JtgO+mOTTVXX+qAOTdHs2PkhaNF6OJUmSFkrrGTnTU7QkjQkvu5AkSZK0JM30FC2fjiWNDxsfJEmSJC1JVXVLVe0P7A48NMm+Q5+vq6q1VbV29erVowlSEmDjgyRJkqQlrqpuACaeoiVpDNn4IEmSJGnJmeVTtCSNCW84KUmSJGkpmvQpWiOOSdIUbHyQJEmStORM9RQtSePJyy4kSZIkSVKvbHyQJEmSJEm9svFBkiRJkiT1ysYHSZIkSZLUq94aH5LskeSsJFcmuSLJSyYpc1CSHyXZ0F5H9xWPJEkaP9YXJElaGfp82sXNwMuq6uIkdwEuSnJGVV05VO4LVfXUHuOQJEnjy/qCJEkrQG89H6rq21V1cRv+b+AqYLe+5idJkpYe6wuSJK0Mi3LPhyRr6J7Be8EkHz8iyaVJPp3kAYsRj6TRsHu1pOlsbX0hyZFJ1idZv2nTph4jlSRJc9XnZRcAJNkR+Bjw0qr68dDHFwP3rKrNSZ4MfBzYe5JpHAkcCbDnnnv2HLGkHtm9WtKkFqK+UFXrgHUAa9eurZ5DliRJc9Brz4ck29FVJE6qqpOHP6+qH1fV5jZ8OrBdkl0mKbeuqtZW1drVq1f3GbKkHtm9WtJkFqq+IEmSxlefT7sI8B7gqqp60xRlfrmVI8lDWzzf7ysmSePD7tWSwPqCJEkrRZ+XXRwIPAfYmGRDG/cqYE+AqnoncBjwR0luBm4EDq8qu0lKy5zdqyUNsL4gSdIK0FvjQ1V9EcgMZY4Fju0rBknjZzbdqweGT0/yjiS7VNX3FjNOSYvD+oIkSSvDojztQpLA7tWSJEnSStX70y4kaYDdqyVJkqQVyMYHSYvG7tWSJEnSyuRlF5IkSZIkqVc2PkiSJEmSpF7Z+CBJkiRJknpl44MkSZIkSeqVjQ+SJEmSJKlXNj5IkiRJkqRe2fggSZIkSZJ6ZeODJEmSJEnq1ZwbH5LcIclOfQQjaWkyL0gaZl6QNB/mDmn5mlXjQ5L3J9kpyZ2By4ErkxzVb2iSxpl5QdIw84Kk+TB3SCvDbHs+7FNVPwaeBnwa2At4Tm9RSVoKzAuShpkXJM2HuUNaAWbb+LBdku3oEsKpVfVzoKb7QpI9kpyV5MokVyR5ySRlkuStSa5OclmSh8z9J0gakTnnBUnLnvUFSfNhnUJaAWbb+PBO4BrgzsA5Se4J/HiG79wMvKyq9gEeDrwwyT5DZZ4E7N1eRwL/NMt4JI3efPKCpOXN+oKk+bBOIa0A285UIMkdgO9W1W4D4/4TeOx036uqbwPfbsP/neQqYDfgyoFihwLvraoCzk9y1yS7tu9KGlPzzQuSli/rC5LmwzqFtHLM2POhqn4BvGJoXFXVzbOdSZI1wIOBC4Y+2g341sD7a9s4SWNsvnnB7tXS8jUO9YUkRyZZn2T9pk2bZjtbSSO0ELlD0tIw28su/jXJy9uBw90nXrP5YpIdgY8BL203kpkzKxPSWJpPXrB7tbS8jbS+UFXrqmptVa1dvXr1fCYhaTTmnTskLR0zXnbRPKP9feHAuALuNd2X2o1jPgacVFUnT1LkOmCPgfe7t3G3UVXrgHUAa9eu9eYz0niYc16we7W07I20viBpyZpX7pC0tMyq8aGq9prrhJMEeA9wVVW9aYpipwIvSvJB4GHAjzzAkJaG+eSFQfPoXn2b3JDkSLqeEey5555bE4qkBWJ9QdJ8bG2dQtLSMNueDyTZF9gHWDUxrqreO81XDqR7Pu/GJBvauFcBe7bvvhM4HXgycDXwU+D35xK8pNGaR16Y+N6CdK/GHlHS2LG+IGk+5lOnSLIH8F7gl+h6Sqyrqrf0Gaek+ZtV40OS1wAH0SWE0+muyf4i3cY+qar6IpDpptu6Vb9wujKSxtN88kL7nt2rpWXK+oKk+ZhvnYIt95K6OMldgIuSnFFVV87wPUkjMNsbTh4GPB74TlX9PrAfsHNvUUlaCuacF+bQvfq57akXD8fu1dJSYn1B0nzMK3dU1ber6uI2/N/AxL2kJI2h2V52cWNV/SLJzUl2Aq7ntmcmJa0888kLdq+WljfrC5LmY6tzx1T3kvIeUdL4mG3jw/okdwXeDVwEbAbO6y0qSUvBnPOC3aulZc/6gqT52KrcMd29pLxHlDQ+Zvu0iz9ug+9M8hlgp6q6rL+wJI0784KkYeYFSfOxNbljFveSkjQmZnXPhyRnTgxX1TVVddngOEkrj3lB0jDzgqT5mG/umOW9pCSNiWl7PiRZBdwJ2CXJ3djSXXonvJmLtCKZFyQNMy9Imo8FyB2T3kuqqk5f8GAlbbWZLrv4Q+ClwK/QXX8Vumfo/jfwtn5DkzSmzAuShpkXJM3HVuWO2dxLStL4mPayi6p6S1XtBfwNsH8b/mfgG3gDKWlFMi9IGmZekDQf5g5pZZnVPR+Aw6rqx0keCTwOOA74p/7CkrQEmBckDTMvSJoPc4e0Asy28eGW9vcpwLur6lPAHfsJSdISYV6QNMy8IGk+zB3SCjDbxofrkrwLeAZwepLt5/BdScuTeUHSMPOCpPkwd0grwGw36t8FPgv8RlXdANwdOKq3qCQtBeYFScPMC5Lmw9whrQAzPe0CgKr6KXDywPtvA9/uKyhJ48+8IGmYeUHSfJg7pJXB7kySJEmSJKlXvTU+JDk+yfVJLp/i84OS/CjJhvY6uq9YJEnSeLK+IEnSyjCryy7m6QTgWOC905T5QlU9tccYJEnSeDsB6wuSJC17vfV8qKpzgB/0NX1JS49nOCUNs74gSdLKMOp7PjwiyaVJPp3kAVMVSnJkkvVJ1m/atGkx45O0sE4ADp6hzBeqav/2eu0ixCRp/FlfkCRpiRtl48PFwD2raj/gbcDHpypYVeuqam1VrV29evWiBShpYXmGU9I8WF+QJGkZGFnjQ1X9uKo2t+HTge2S7DKqeCSNDc9wSrqV9QVJkpaHkTU+JPnlJGnDD22xfH9U8UgaC57hlHQb1hckSVoeenvaRZIPAAcBuyS5FngNsB1AVb0TOAz4oyQ3AzcCh1dV9RWPpPFXVT8eGD49yTuS7FJV3xtlXJL6Y31BkqSVobfGh6p65gyfH0v3aC1JAroznMB3q6o8wymtDNYXJElaGXprfJCkYZ7hlCRJklYmGx8kLRrPcEqSJEkr0ygftSlJkiRJklYAGx8kSZIkSVKvbHyQJEmSJEm9svFBkiRJkiT1ysYHSZIkSZLUKxsfJEmSJElSr2x8kCRJkiRJvbLxQZIkSZIk9crGB0mSJEmS1CsbHyRJkiRJUq9sfJAkSZIkSb2y8UGSJEmSJPWqt8aHJMcnuT7J5VN8niRvTXJ1ksuSPKSvWCRJ0niyviBJ0srQZ8+HE4CDp/n8ScDe7XUk8E89xiJpDHiQIWkSJ2B9QZKkZa+3xoeqOgf4wTRFDgXeW53zgbsm2bWveCSNhRPwIEPSAOsLkiStDKO858NuwLcG3l/bxt1OkiOTrE+yftOmTYsSnKSF50GGpHmwviBpUjP1qJQ0XpbEDSeozDv3AAAgAElEQVSral1Vra2qtatXrx51OJL640GGpHmzviCtOCcwfY9KSWNklI0P1wF7DLzfvY2TpBl5kCGtGNYXJE1qFj0qJY2RUTY+nAo8t91g7uHAj6rq2yOMR9LoeZAhaZj1BUnzZk9JaXxs29eEk3wAOAjYJcm1wGuA7QCq6p3A6cCTgauBnwK/31cskpaMU4EXJfkg8DA8yJCWPesLkvpUVeuAdQBr166tEYcjrWi9NT5U1TNn+LyAF/Y1f0njx4MMScOsL0iStDL01vggScM8yJAkSZJWpiXxtAtJkiRJGtR6VJ4H3C/JtUmeP+qYJE3Nng+SJEmSlpyZelRKGi/2fJAkSZIkSb2y8UGSJEmSJPXKxgdJkiRJktQrGx8kSZIkSVKvbHyQJEmSJEm9svFBkiRJkiT1ysYHSZIkSZLUKxsfJEmSJElSr2x8kCRJkiRJvbLxQZIkSZIk9crGB0mSJEmS1KteGx+SHJzkq0muTvIXk3x+RJJNSTa01x/0GY8kSRo/1hckSVr+emt8SLIN8HbgScA+wDOT7DNJ0Q9V1f7tdVxf8UgaDx5kSBpkfUGSpJWhz54PDwWurqpvVNX/AB8EDu1xfpLGnAcZkiZhfUGSpBWgz8aH3YBvDby/to0b9jtJLkvy0SR7TDahJEcmWZ9k/aZNm/qIVdLi8CBD0jDrC5IkrQCjvuHkJ4E1VfUg4AzgxMkKVdW6qlpbVWtXr169qAFKWlAeZEiaD+sLkiQtcX02PlwHDB407N7G3aqqvl9VN7W3xwEH9BiPpKXBgwxpZbG+IEnSCtBn48OFwN5J9kpyR+Bw4NTBAkl2HXh7CHBVj/FIGj0PMiQNs74gSdIKsG1fE66qm5O8CPgssA1wfFVdkeS1wPqqOhV4cZJDgJuBHwBH9BWPpLFw60EGXaPD4cDvDRZIsmtVfbu99SBDWuasL0iStDL01vgAUFWnA6cPjTt6YPiVwCv7jEHS+PAgQ9JkrC9IkrT89dr4IEnDPMiQJEmSVp5RP+1CkiRJkiQtczY+SJIkSZKkXtn4IEmSJEmSemXjgyRJkiRJ6pWND5IkSZIkqVc2PkiSJEmSpF7Z+CBJkiRJknpl44MkSZIkSeqVjQ+SJEmSJKlXNj5IkiRJkqRe2fggSZIkSZJ6ZeODJEmSJEnqlY0PkiRJkiSpV702PiQ5OMlXk1yd5C8m+Xz7JB9qn1+QZE2f8UgaPfOCpGHmBUnzNVP+kDQ+emt8SLIN8HbgScA+wDOT7DNU7PnAD6vqPsCbgdf3FY+k0TMvSBpmXpA0X7PMH5LGRJ89Hx4KXF1V36iq/wE+CBw6VOZQ4MQ2/FHg8UnSY0ySRsu8IGmYeUHSfM0mf0gaE9v2OO3dgG8NvL8WeNhUZarq5iQ/Au4BfG+wUJIjgSPb281JvtpLxPO3C0Mx9y3/8LzFnN3WWvTlw2uWXJ108dehF8+4jO7Zw2zNCz0yL8zC0soN5oVJypgX5sa8MAvmhWmNKC/M1oz5w7xwe+aFWTAvTGu+eaHPxocFU1XrgHWjjmMqSdZX1dpRxzGuXD4zcxnNnXlhaXP5zMxlNHfmhaXN5TMzl9HcmReWNpfPzJbSMurzsovrgD0G3u/exk1aJsm2wM7A93uMSdJomRckDTMvSJqv2eQPSWOiz8aHC4G9k+yV5I7A4cCpQ2VOBSb6/RwGfL6qqseYJI2WeUHSMPOCpPmaTf6QNCZ6u+yiXZP5IuCzwDbA8VV1RZLXAuur6lTgPcD7klwN/IAuYSxFY9uVa0y4fGa2IpaReUEDXD4zWxHLyLygAS6fmbmMBkyVP0Yc1lz5P52ey2dmS2YZxRMHkiRJkiSpT31ediFJkiRJkmTjgyRJkiRJ6teSeNTmYktyC7BxYNTTquqaKcpurqodFyWwMZPkHsCZ7e0vA7cAm9r7h1bV/4wksDGT5BBgn6p63Ry/96Wq+rWewtI8uM5Pz9w5e+aF5cX/59TMC7Pj/mX5MS9MzbwwO8sxL3jPh0nMZSVfyRvEoCTHAJur6h8Gxm1bVTePLiqpP67zt2fulDTMvDB37l+03JkX5m655AUvu5iFJDsmOTPJxUk2Jjl0kjK7JjknyYYklyd5VBv/xCTnte9+JMmy3niSnJDknUkuAP4+yTFJXj7w+eVJ1rThZyf5cltm70qyzYjCnrcka5J8pf3uryU5KckTkpyb5OtJHprkiCTHtvJPb8vg0iTntHEPGFgOlyXZu43f3P4elOTsJB9t8zopSdpnT27jLkry1iSnjWpZrFQrbZ2fi5WaO80Ly4v/z4W1UvPCfLh/GV/mhYVlXpi9pZ4XbHyY3A7tn7QhySnAz4DfqqqHAI8F3jix8Q/4PeCzVbU/sB+wIckuwKuBJ7Tvrgf+bPF+xsjsDvxaVU35W5P8KvAM4MC2zG4BnrVI8S20+wBvBO7fXr8HPBJ4OfCqobJHA79RVfsBh7RxLwDe0pbDWuDaSebxYOClwD7AvYADk6wC3gU8qaoOAFYv5I/SnKy0dX4q5s4tzAvLi//P+TMvbB33L+PLvDB/5oWts2Tzgvd8mNyN7Z8EQJLtgL9N8mjgF8BuwC8B3xn4zoXA8a3sx6tqQ5LH0CWLc9v2c0fgvEX6DaP0kaq6ZYYyjwcOAC5sy2YH4Pq+A+vJN6tqI0CSK4Azq6qSbATWDJU9FzghyYeBk9u484C/TLI7cHJVfX2SeXy5qq5t89jQprsZ+EZVfbOV+QBw5ML9LM3BSlvnp2Lu3MK8sLz4/5w/88LWcf8yvswL82de2DpLNi/Y+DA7z6JrVTygqn6e5Bpg1WCBqjqnbTBPoUsubwJ+CJxRVc9c7IBH7CcDwzdz2x42E8stwIlV9cpFi6o/Nw0M/2Lg/S8Y2saq6gVJHka3nlyU5ICqen/rOvUU4PQkf1hVn59mHrcMT1cjt9LW+dlaybnTvLC8+P9cOCs5L8yH+5fxZV5YOOaFuVmyecHLLmZnZ+D6tjE8FrjncIEk9wS+W1XvBo4DHgKcT9c96j6tzJ2T3HcR4x4H19AtC5I8BNirjT8TOCzJ/2qf3b0tw2Utyb2r6oKqOprubrV7JLkXXQv2W4FPAA+a5eS+Ctxr4rouuq5VGr1rcJ2fYO6cBfPC8uL/c0bmhfm7BvcvS5J5YUbmhfm7hiWUF5Zr69lCOwn4ZOtGtR74yiRlDgKOSvJzuu5Qz62qTUmOAD6QZPtW7tXA1/oPeWx8DHhu6452Ae23V9WVSV4NfC7JHYCfAy8E/mNkkS6ON6S7oVDoksKlwJ8Dz2nrzneAv53NhKrqxiR/DHwmyU/ouqNp9FzntzB3zo55YXnx/zk988L8uX9ZuswL0zMvzN+Sygs+alNawpLsWFWb013M9Xbg61X15lHHJWl0zAvLi/9PScPMC1qqvOxCWtr+T7obEF1B12XtXSOOR9LomReWF/+fkoaZF7Qk2fNBkiRJkiT1yp4PkiRJkiSpVzY+SJIkSZKkXtn4IEmSJEmSemXjwyJLckuSDUkuT/LJJHedxzT2T/LkPuJbyBiSrElyY/u9VyZ5b5LtFivGmbT4fm/g/dokbx1lTFreVtL238rtneS0JP+e5KIkZyV59ALFcE2SXdrwxHKdeK2Z47SeneSyJFckuTTJcfP530jLzcC2dWmSi5P8Whv/K0k+2oaPSHLsHKZ5dpKvtmmem+R+c/jumiSXTzLe/bfUo4FcMLGffFl7fONCz2fbJJuSvG5o/NlJ1rbhW/f/fUpyUJLT+p7PSmPjw+K7sar2r6p9gR/QPW91rvYHFuzgI8k2Pcbw71W1P/BAYHfgd+cxrxkl2XYeX1sD3Nr4UFXrq+rFCxaUdHsrZvtPsgr4FLCuqu5dVQcAfwLcax7zm8nEcp14XTObL7VKzsHAnwJPqqoHAA8BvgT80iTl57OspKVsYtvaD3gl8HcAVfVfVXXYVkz3WW2aJwJvmM0XptvPu/+WejeRCx4A/DrwJOA1Pczn14GvAU9vjxHVMmPjw2idB+wGkOTeST7Tzg5+Icn92/int7OklyY5J8kdgdcCz2gtkM9I8tAk5yW5JMmXJs4iDJ+NaGcgD2rDm5O8McmlwCOSHJ3kwjavdRMbfGtpfH2SLyf5WpJHTRHDYwbOOl6S5C6DP7SqbgG+PPB7D0jyb+33fjbJrm38i1svicuSfLCNu3OS41sMlyQ5dOD3nZrk88CZST6Y5CkDv/eEJIe1MyVfaGdtbj1zA7wOeFSL+U8HWziT3D3Jx1sc5yd5UBt/TIvl7CTfSPLigRg/1f5Plyd5xkKsIFrWlvv2/yzgvKo6dSKGqrq8qk5o055qG5tq/D2SfC7dWZfjgGkrJel6Z5zfpnNKkrsN/KZ/TLIeeAnwl8DLq+q6FuMtVXV8VX21lb+mLYOL6SpDz0yysS2r1w/Mb/PA8GFJJn7nCUnemWR9W4ZPbeMf0Jbrhhbj3rNbbaSR2Qn4IUzbA+EpLR/tkuSJbfjiJB9JsuMk0zwHuM9U++m2X/5CklOBK4fmda+Wb/730P570v10++z/put18cUkH0jy8oVbPNLKUFXXA0cCL0pnVZJ/bvvGS5I8FiDJnZJ8OF29/pQkF6TrpbRN2zde3r7zpwOTfybwFuA/gUfMFEuSP2vTuTzJS9u4o7Klfv7mdMcJJHlckpPa8KT5KcnBSb7S9vm/vWALTVtUla9FfAGb299tgI8AB7f3ZwJ7t+GHAZ9vwxuB3drwXdvfI4BjB6a5E7BtG34C8LEpyp0GHNSGC/jdgc/uPjD8PuA32/DZwBvb8JOBf51i2p8EDmzDOwLb0vUsuLyNWwWcBTwI2I7uzOLq9tkzgOPb8H8B2w/93r8Fnj0xjq5F9M4thmsnYgd+CzixDd8R+BawA3AnYFUbvzewvg0fBJw28BtufQ+8DXhNG34csKENH9Ni3x7YBfh++z2/A7x7YFo7j3pd8zV+rxW2/b8JeMk0y2KqbWyq8W8Fjm7DT2m/YZf2/hZgQ3ud0sZdBjymDb8W+MeB3/SOgTh+MN32ClwDvKIN/wpdhWh1+42fB542+L9tw4cBJ7ThE4DP0DX2702Xs1a13/msVuaOwA6jXj99+Rp+DWxbXwF+BBzQxq9hy/79COBYun3wF4C70e0fzwHu3Mr8+cD2ezawtg0fBXyI6ffTPwH2GpwvcD/gEmC/gXIT++9jmHw//b/bb1kF3AX4Ol3D48iXsy9f4/4a3McNjLuBrpfgy9hSj79/20+uAl4OvKuN3xe4GVgLHACcMTCdifrNKrrjgB3oGjfeNlBmMG9c07btA+jqSXemq3tcATwYeDjwkVb2C3QnP7ej66nxh1Plpzb/b7UcFODDDBwn+FqY13y6qmvr7JBkA90Zz6uAM1pr268BH8mWHkbbt7/nAick+TBw8hTT3Bk4sZ05K7oNbCa3AB8beP/YJK+gqwDcnW4D/mT7bGK+F9Ht+CdzLvCm1qJ4clVd237Lvdvv3Qv4VFVdlmRfuiR0RiuzDfDtNp3LgJOSfBz4eBv3ROCQgTMUq4A92/AZVfWDNvxp4C1JtgcOBs6pqhuT7Awcm2T/9rvvO4vl80i6BgWq6vPtrOtO7bNPVdVNwE1JrqdLvBuBN7YzoadV1RdmMQ+tPCtt+79VklPoduhfq6rfZuptbKrxj6adhaiqTyX54cDkb6zu8q6Jee1MV5n5tzbqRLrGngkfmuxHJHkgXePLXYBXVdWHhsr/b+DsqtrUyp/U4vr48LSGfLiqfgF8Pck36Cpn5wF/mWT3tsy+PsM0pFG4ddtK8gjgvW0fPuxxdAcVT6yqH7cePvsA57ZccEe6dX7CSUlupDuI+BO6vDXVfvrLVfXNgfergU8Av11Vt+kNMWCy/fSBwCeq6mfAz5J8corvSpqbR9I1qFNVX0nyH3Tb8CPpejFQVZcnuayV/wZwryRvo7s883Nt/FOBs1rd/WPA/03y0up6T08131Oq6icASU4GHgX8E3BAqzvcBFxMl58eBbyYrnFisvx0f+CbE/vjJP9C1wiiBeRlF4tvYkd+T7pWtRfS/R9uqNtes/yrAFX1AuDVwB7ARUnuMck0/x/dxrov8Jt0B+fQtTAO/o9XDQz/bGJjTndt9juAw6rqgcC7h8re1P7eApM3WFXV64A/oGutPDet2zhb7vlwb7pEcEj73VcM/NYHVtUTW/mnAG+nu+76wnTXeAb4nYHye1bVVa38TwZi+Bldy+hv0PWmmDhg+FPgu8B+dMnnjpP9hjm4aWD4Frqzzl9rMW8E/jrJ0Vs5Dy1PK2n7v4Jum5go81t0Z0jvPsWyWUw/GRi+Nc6q2tj+P5+m+y2TlZ9KDQyvmuazNqt6P3AIcCNwepLHzSZwaVSq6jy6M4arJ/n43+ka7SYaDUJ3cmAip+1TVc8fKP+sNv5pVfWt/7+9O4+TrK7v/f96M4ygILgw1xBgHBQTgwsoE1xQg0uMK+ovKJJcFGMyMYlbEk0k8RJC7i/GJWpQIyIq4oKouCCiiIoXBAQGGIZNlKsoGKKjKIjgAn7uH+fbTFHT1d3T09XV3fV6Ph79mFOnvnXOp87U93NOfc73nGLq/XR//7uR7szqY6YId5P99NTvTtLmSHI/ur71g819bVX9mK6vfwV4CXBse+pg4ElJrqE74XFvusLm5i7/V8C36Y45zqEb/fB4YA+6Ez/T5ScNkcWHEamqW+iqb38L3AJ8O8lzAdr1U3u16ftX1XlVdTiwge5LyE/pdvITdgS+16YP7Zl/DbB3kq2S7AbsOyCciQPlH7azsDO5idSdYmhxXlpVrwcuoKse9r7fHwKvobth1VXAinYWhSTL013/vBWwW1WdQTcEake6YVSnAS9L7rgO/WFTxHUi8CK66ubn27wdgevbmcdD6EZabPIe+pxFd8066a6T/2FV3TRopUl+E7ilqj5Id/Oshw9qK41J//8wsF8rOE64W8/0oD42aP6ZtBvEJnkq3dDuSVXVjcCPkzy2zToE+D8Dmr8OeFMbgTDhrgPang/8Xrrr2ZfRHShNLPf7SX6n5bHn9L3uue3/4f50N9y8qh24fauqjqI7i/vQQe9HWghaUXEZ3WUM/b5DN2Lp+CQPAr5G1//3aK/dLslUow4H7acn80u6PvaC9Pxi1QycDTwz3fXp29OdZZW0mZKsAI6mu/yyuPN++7foRidfRdfnntfm70l383nS/VLFVlV1Et0Jloe3UQqPBVZW1aqqWkV3gubgKUI5C3h2untLbMfGS78mnnsV3bHDWXRFjotbvIPy09eBVW1fzTTr1ixZCR6hqrq4DUE6mK7TvjPJa+mGH34EuAR4YxtOHbrrwi+hq/i/pg3ffh3wBrph16+lG7404Wy6yt8VdJW+iwbE8ZMk76a7jvK/6b48TOeMvhgek+4GM7+mO5P4OWDnvtd8iu5azEfQfcE5qg2P3hp4K929HD7Y5gU4qsX2L+359e3A/tsMPmj4At2w6U9X1S/bvP8ETkryArqCxMRZlPXA7eluuncc3fWjE44A3tv+f24BXjjN9ngI3f/Vr4FfAX8xTXuNuaXe/6vqF23o9ZuTvJXurOZPgf/dlnEEk/exQfP/GTghyeV0ZzK+O02MLwSOTnI3uiGeLxrw/k9tB1KfawWFn7Rtcdokba9P8pr2/kM3tPvT7enX0N1XYwOwlq5wOuG7dIWLHYCXVNXPkzwPOCTJr+i2+79O836kUZi4VAy6z/wLq+r2THIT+jbc+o/pLnF6Jl0x9IR0l0JC9yXjGwPWM2g/Pamq+lnLL6enu9nrwJMDPa+5IN2NK9fT5aNL6UZRSJreRC5YTjey8gN093aCrv++M8ml7blD2zHAf9Idn1xB98X+cro+twvwvmz8qc7D6AoHX26XS034NPCGnhxyJ1V1UbqbO5/fZh1bVRPH8mfR3VD63JYvft7mUVUbkhxKX36qqm8kWQN8Nsktrf2gk5SapXQFIEmSNNfagdEpVfXxUccijbsk21fVza0oeSawpqomLcxK2jKtoL+8FdzvD3wR+O2ek4MaQ458kCRJ0jg4pg3/3pbu17EsPEjDczfgjCTL6UZO/aWFBznyQZIkSZIkDZU3nJQkSZK0KCVZluTiJKeMOhZJU7P4IEmSJGmxegXdjZUlLXAWHyRJkiQtOu1nkp8OHDvqWCRNb9HdcHKnnXaqVatWjToMacm78MILf1hVK0Ydx0yYF6T5YV6Q1G/EeeGtwN8xxU8itp9PXAOw3Xbb7fPABz5wnkKTxtegvLDoig+rVq1i7dq1ow5DWvKSfGfUMcyUeUGaH+YFSf1GlReSPAP4QVVdmGT/Qe2q6hjgGIDVq1eXeUEavkF5YUFcduGNYiT1My9IkqQp7AcckOQa4CPAE5J8cLQhSZrKgig+4I1iJG3KvCBJkiZVVYdV1a5VtQp4PvDlqvqfIw5L0hRGXnzwRjGS+pkXJEmSpKVl5MUHNt4o5teDGiRZk2RtkrUbNmyYv8gkjYp5QZIkzUhVfaWqnjHqOCRNbaTFh94bxUzVrqqOqarVVbV6xYpFcZNtSbNkXpAkSZKWnlGPfPBGMZL6mRckSZKkJWakP7VZVYcBhwG0n8h5lTeK0ajt97b9Rh3CvDj7ZWePOoRJmRe0EJkXNG6+e+RDRh3CvFl5+KWzep15QePGvKAtNeqRD5IkSZIkaYkb6ciHXlX1FeArIw5D0gJiXpAkSdJi4YioqS2Y4oMkaTQcRilJkqRh87ILSZIkSZI0VBYfJEmSJEnSUFl8kCRJkiRJQ2XxQZIkSZIkDZXFB0mSJEmSNFQWHyRJ0sgk2TbJ+UkuSXJ5kn+epM2hSTYkWdf+/nQUsUqSpNnzpzYlSdIo/QJ4QlXdnGQ58NUkn6uqr/W1O7GqXjqC+CRJ0hyw+CBJkkamqgq4uT1c3v5qdBFJkqRhsPggSZJGKsky4EJgD+AdVXXeJM3+MMnjgG8Af11V106ynDXAGoCVK1cOMWJJS9E+rz5+1CHMiwvf+IJRh6Ax5T0fJEnSSFXV7VW1N7ArsG+SB/c1+QywqqoeCpwOvH/Aco6pqtVVtXrFihXDDVqSJG0WRz6Mme8e+ZBRhzAvVh5+6ahDkCRtpqr6SZIzgKcAl/XM/1FPs2OBN2zpujzDKUnS/HLkgyRJGpkkK5Lco03fFfh94Ot9bXbueXgAcOX8RShJkubCkhr5MC5nMcAzGZKkJWNn4P3tvg9bAR+tqlOSHAmsraqTgZcnOQC4DbgBOHRk0UqSpFlZUsUHSZK0uFTVeuBhk8w/vGf6MOCw+YxLkiTNLS+7kCRJkiRJQ+XIB0lLmpdjSZIkSaPnyAdJkiRJkjRUFh8kSZIkSdJQWXyQJEmSJElDZfFBkiRJkiQNlcUHSZIkSZI0VBYfJEmSJEnSUFl8kCRJkiRJQ2XxQZIkSZIkDZXFB0mSJEmSNFQWHyRJkiRJ0lBZfJAkSZIkSUNl8UGSJEmSJA2VxQdJkjQySbZNcn6SS5JcnuSfJ2mzTZITk1yd5Lwkq+Y/UkmStCUsPkiSpFH6BfCEqtoL2Bt4SpJH9rV5MfDjqtoDeAvw+nmOUdICNJPipaSFw+KDJEkamerc3B4ub3/V1+xZwPvb9MeBJybJPIUoaeGaSfFS0gJh8UGSJI1UkmVJ1gE/AE6vqvP6muwCXAtQVbcBNwL3nmQ5a5KsTbJ2w4YNww5b0ojNsHgpaYGw+CBJkkaqqm6vqr2BXYF9kzx4lss5pqpWV9XqFStWzG2Qkhak6YqXFiWlhWPkxQev1ZLUz7wgjaeq+glwBvCUvqe+B+wGkGRrYEfgR/MbnaSFaLripUVJaeEYefEBr9WStCnzgjQmkqxIco82fVfg94Gv9zU7GXhhmz4Q+HJVObRa0h2mKF5KWiBGXnzwWi1J/cwL0ljZGTgjyXrgArph06ckOTLJAa3Ne4B7J7ka+BvgNSOKVdICMsPipaQFYutRBwDdtVrAhcAewDsmu1YLWAOwcuXK+Q9Q0rwzL0jjoarWAw+bZP7hPdM/B547n3FJWhR2Bt7fjhm2Aj5aVaeMOCZJA4x85AN4rZakTZkXJEnSVKpqfVU9rKoeWlUPrqojRx2TpMEWRPFhgtdqSepnXpAkSZIWv5EXH7xWS1I/84IkSZK0tCyEez54rZakfuYFSZIkaQkZefFh0I2mJI0v84IkSZK0tIz8sgtJkiRJkrS0WXyQJEmSJElDZfFBkiRJkiQNlcUHSZIkSZI0VBYfJEmSJEnSUFl8kCRJkiRJQ2XxQZIkSZIkDZXFB0mSJEmSNFQWHyRJ0sgk2S3JGUmuSHJ5kldM0mb/JDcmWdf+Dh9FrJIkafa2HnUAkiRprN0G/G1VXZTk7sCFSU6vqiv62p1VVc8YQXySJGkOOPJBkiSNTFVdX1UXtemfAlcCu4w2KkmSNNcsPkiSpAUhySrgYcB5kzz9qCSXJPlckgcNeP2aJGuTrN2wYcMQI5UkSZvL4oMkSRq5JNsDJwGvrKqb+p6+CLhvVe0FvA341GTLqKpjqmp1Va1esWLFcAOWJEmbxeKDJEkaqSTL6QoPH6qqT/Q/X1U3VdXNbfpUYHmSneY5TEmStAUsPkiSpJFJEuA9wJVV9eYBbX6jtSPJvnTHLz+avyglSdKW8tcuJEnSKO0HHAJcmmRdm/cPwEqAqjoaOBD4iyS3AbcCz6+qGkWwkiRpdiw+SJKkkamqrwKZps3bgbfPT0SSJGkYvOxCkiRJkiQNlcUHSZIkSZI0VBYfJEmSJEnSUFl8kCRJkiRJQ2XxQZIkSZIkDZXFB0mSJEmSNFQWHyRJkiRJ0lANpfiQZKskOwxj2ZIWJ/OCNF7s85Jmw9whLV1zVnxI8uEkOyTZDrgMuCLJq+dq+ZIWH/OCNF7s85Jmw9whjYe5HPmwZ1XdBDwb+BywO3DIHC5f0uJjXpDGi31e0myYO6QxMJfFh+VJltMljZOr6ldAzSFBY9IAAB4JSURBVOHyJS0+5gVpvNjnJc2GuUMaA3NZfDgauAbYDjgzyX2Bm+Zw+ZIWH/OCNF7s85Jmw9whjYGt52IhSbYCvl9Vu/TM+y7w+LlYvqTFx7wgjRf7vKTZMHdI42NORj5U1a+Bv+ubV1V121wsX9LiY16Qxsts+3yS3ZKckeSKJJcnecUkbZLkqCRXJ1mf5OFzHL6kEfF4QRofc3nZxReTvKodRNxr4m8Oly9p8TEvSONlNn3+NuBvq2pP4JHAXyXZs6/NU4EHtL81wDvnPHJJozSr44WZFC8lLRxzctlFc1D796965hVwvzlch6TFxbwgjZfN7vNVdT1wfZv+aZIrgV2AK3qaPQs4vqoK+FqSeyTZub1W0uI32+OFieLlRUnuDlyY5PSqumKa10kagTkrPlTV7nO1LElLg3lBGi9b2ueTrAIeBpzX99QuwLU9j69r8+5UfEiyhm5kBCtXrtySUCTNo9nmjhkWLyUtEHM58oEkDwb2BLadmFdVx0/zmt2A44H70FU4j6mq/5jLuCSNjnlBGi+z6fPtddsDJwGvrKpZ3eW+qo4BjgFYvXq1P9MnLSKzzR09r1/F5MVLSQvEnBUfkvwTsD9d0jiV7vrMr9J9gZiKw6WkJcq8II2X2fb5JMvpCg8fqqpPTNLke8BuPY93bfMkLQFbcLww8fqBxUtHREkLx1zecPJA4InAf1fVi4C9gB2ne1FVXV9VF7XpnwITw6UkLX7mBWm8bHafTxLgPcCVVfXmAc1OBl7QfvXikcCN3u9BWlJmdbwA0xcvq+qYqlpdVatXrFgxlzFL2kxzednFrVX16yS3JdkB+AF3PksxrUHDpaxYSouWeUEaL7Pp8/sBhwCXJlnX5v0DsBKgqo6mOxP6NOBq4BbgRcMIXtLIzOp4YYbFS0kLxFwWH9YmuQfwbuBC4Gbg3Jm+eKrhUl7DKS1a5gVpvGx2n6+qrwKZpk1x57vgS1paZnu8MGnxsqpOHU6YkrbEXP7axV+2yaOTfB7YoarWz+S1M7jWU9IiZF6QxsuW9HlJ42u2uWMmxUtJC8ec3fMhyZcmpqvqmqpa3ztvitc5XEpaoswL0niZbZ+XNN7MHdJ42OKRD0m2Be4G7JTknmysPu7AzG4Q53ApaYkxL0jjZQ76vKQxZO6QxstcXHbx58Argd+ku0YrQAE/Bd423YsdLiUtSeYFabxsUZ+XNLbMHdIY2eLLLqrqP6pqd+D/B/Zu0+8DvsVm3FhO0tJhXpDGi31e0myYO6TxMmf3fAAOrKqbkjwGeAJwLPDOOVy+pMXHvCCNF/u8pNkwd0hjYC6LD7e3f58OvLuqPgvcZQ6XL2nxMS9I48U+L2k2zB3SGJjL4sP3krwLOAg4Nck2c7x8SYuPeUEaL/Z5SbNh7pDGwFx26ucBpwF/UFU/Ae4FvHoOly9p8TEvSOPFPi9pNswd0hiYi1+7AKCqbgE+0fP4euD6uVq+pMXHvCCNF/u8pNkwd0jjweFMkiRJkiRpqCw+SJIkSZKkobL4IEmSJEmShsrigyRJkiRJGiqLD5IkaWSSvDfJD5JcNuD5/ZPcmGRd+zt8vmOUJElbbs5+7UKSJGkWjgPeDhw/RZuzquoZ8xOOJEkaBkc+SJKkkamqM4EbRh2HJEkaLosPkiRpoXtUkkuSfC7JgwY1SrImydokazds2DCf8UmSpGlYfJAkSQvZRcB9q2ov4G3ApwY1rKpjqmp1Va1esWLFvAUoSZKmZ/FBkiQtWFV1U1Xd3KZPBZYn2WnEYUmSpM1k8UGSJC1YSX4jSdr0vnTHLj8abVSSJGlz+WsXkiRpZJKcAOwP7JTkOuCfgOUAVXU0cCDwF0luA24Fnl9VNaJwJUnSLFl8kCRJI1NVB0/z/NvpfopTkiQtYl52IUmSJEmShsrigyRJkiRJGiqLD5IkSZIkaagsPkiSJEmSpKGy+CBJkiRJkobK4oMkSZIkSRoqiw+SJEmSJGmoLD5IkiRJkqShsvggSZIkSZKGyuKDJEmSJEkaKosPkiRJkiRpqCw+SJIkSZKkobL4IEmSJEmShsrigyRJGpkk703ygySXDXg+SY5KcnWS9UkePt8xSlqYpssfkhYWiw+SJGmUjgOeMsXzTwUe0P7WAO+ch5gkLQ7HMXX+kLSAjLz4YMVSUj/zgjQ+qupM4IYpmjwLOL46XwPukWTn+YlO0kI2g/whaQEZefEBK5aSNnUc5gVJnV2Aa3seX9fmbSLJmiRrk6zdsGHDvAQnSZJmZuTFByuWkvqZFyTNRlUdU1Wrq2r1ihUrRh2OpAXAoqS0cIy8+DATJg1J/cwL0tj4HrBbz+Nd2zxJmpZFSWnhWBTFB5OGpH7mBWlsnAy8oP3qxSOBG6vq+lEHJUmSNs/Wow5AkiSNryQnAPsDOyW5DvgnYDlAVR0NnAo8DbgauAV40WgilbTQTJY/quo9o41K0iAWHyRJ0shU1cHTPF/AX81TOJIWkenyh6SFZeSXXbSK5bnAbye5LsmLRx2TpNEyL0iSJElLy8hHPlixlNTPvCBJkiQtLSMf+SBJkiRJkpY2iw+SJEmSJGmoLD5IkiRJkqShsvggSZIkSZKGyuKDJEmSJEkaKosPkiRJkiRpqCw+SJIkSZKkobL4IEmSJEmShsrigyRJkiRJGiqLD5IkSZIkaagsPkiSJEmSpKGy+CBJkkYqyVOSXJXk6iSvmeT5Q5NsSLKu/f3pKOKUJEmzt/WoA5AkSeMryTLgHcDvA9cBFyQ5uaqu6Gt6YlW9dN4DlCRJc8KRD5IkaZT2Ba6uqm9V1S+BjwDPGnFMkiRpjll8kCRJo7QLcG3P4+vavH5/mGR9ko8n2W2yBSVZk2RtkrUbNmwYRqySJGmWLD5IkqSF7jPAqqp6KHA68P7JGlXVMVW1uqpWr1ixYl4DlCRJU7P4IEmSRul7QO9Ihl3bvDtU1Y+q6hft4bHAPvMUmyRJmiMWHyRJ0ihdADwgye5J7gI8Hzi5t0GSnXseHgBcOY/xSZKkOeCvXUiSpJGpqtuSvBQ4DVgGvLeqLk9yJLC2qk4GXp7kAOA24Abg0JEFLEmSZsXigyRJGqmqOhU4tW/e4T3ThwGHzXdckiRp7njZhSRJkiRJGiqLD5IkSZIkaagsPkiSJEmSpKGy+CBJkiRJkobK4oMkSZIkSRoqiw+SJEmSJGmoLD5IkiRJkqShsvggSZIkSZKGyuKDJEmSJEkaKosPkiRJkiRpqCw+SJIkSZKkobL4IEmSJEmShsrigyRJkiRJGiqLD5IkSZIkaagWRPEhyVOSXJXk6iSvGXU8kkbPvCCNj+n6e5JtkpzYnj8vyar5j1LSQuTxgrR4jLz4kGQZ8A7gqcCewMFJ9hxtVJJGybwgjY8Z9vcXAz+uqj2AtwCvn98oJS1EHi9Ii8vIiw/AvsDVVfWtqvol8BHgWSOOSdJomRek8TGT/v4s4P1t+uPAE5NkHmOUtDB5vCAtIluPOgBgF+DansfXAY/obZBkDbCmPbw5yVXzFNtM7QT8cD5XmDe9cD5Xt6XmffvwT4vumHT+P0Mvn3Yb3Xc+4hjAvDAL5oUZWFy5YVzywrT9vbdNVd2W5Ebg3vRtH/PCpswLM2BemJLHC0NnXpiaeWF6iyYvLITiw7Sq6hjgmFHHMUiStVW1etRxLFRun+m5jTafeWFxc/tMz220+cwLi5vbZ3puo81nXljc3D7TW0zbaCFcdvE9YLeex7u2eZLGl3lBGh8z6e93tEmyNbAj8KN5iU7SQubxgrSILITiwwXAA5LsnuQuwPOBk0cck6TRMi9I42Mm/f1kYGKc8IHAl6uq5jFGSQuTxwvSIjLyyy7atZsvBU4DlgHvrarLRxzW5lqwQ7kWCLfP9NxGPcwLY8HtM72x2EaD+nuSI4G1VXUy8B7gA0muBm6g+4KxGI3F/+kWcPtMz23Uw+OFseD2md6i2UbxxIEkSZIkSRqmhXDZhSRJkiRJWsIsPkiSJEmSpKEa+T0fFrIkBwB7VtW/bebrzqmqRw8prAUjyb2BL7WHvwHcDmxoj/etql+OJLAFIsntwKU9s55dVdcMaHtzVW0/L4Fpi5gXpmZemJp5YWkyL0zNvDA188LSZF4YzM/8zCzF3Ok9HzQnkhwB3FxVb+qZt3VV3Ta6qEZrc5LlOCdWLV3mhU2ZFzTuzAubMi9o3PiZ33xLJXeO7WUXSVYl+XqS45J8I8mHkjwpydlJvplk3ySHJnl7a//cJJcluSTJmW3eg5Kcn2RdkvVJHtDm39z+3T/JV5J8vK3rQ0nSnntam3dhkqOSnDKqbTGX2vY8Osl5wBuSHJHkVT3PX5ZkVZv+nz3b711Jlo0o7HmRZPskX0pyUZJLkzxrkjY7JzmzbZPLkjy2zX9yknPbaz+WZOyT8DCYF4bDvDCYeWHhMy8Mh3lhMPPCwmdemFt+5mdusefOsS0+NHsA/w48sP39EfAY4FXAP/S1PRz4g6raCzigzXsJ8B9VtTewGrhuknU8DHglsCdwP2C/JNsC7wKeWlX7ACvm8k0tALsCj66qvxnUIMnvAAcB+7Xtdzvwx/MU33y5a+vs65J8Evg58JyqejjweODfJ3YiPf4IOK1tk72AdUl2Al4LPKm9di0wcNtqi5kXhsO80DEvLE7mheEwL3TMC4uTeWH2/MxvmUWbO8f9ng/frqpLAZJcDnypqirJpcCqvrZnA8cl+SjwiTbvXOAfk+wKfKKqvjnJOs6vquvaOta15d4MfKuqvt3anACsmbu3NXIfq6rbp2nzRGAf4IKWW+4K/GDYgc2zW1tnByDJcuBfkzwO+DWwC3Af4L97XnMB8N7W9lNVtS7J79HtdM5u2+oudJ89DYd5YTjMCx3zwuJkXhgO80LHvLA4mRdmz8/8llm0uXPciw+/6Jn+dc/jX9O3barqJUkeATwduDDJPlX14Tbk5enAqUn+vKq+PMU6bu9f7hL1s57p27jzCJtt278B3l9Vh81bVKP3x3TV6X2q6ldJrmHj9gCgqs5siffpdDupNwM/Bk6vqoPnO+AxZV4YDvPC5MwLi4N5YTjMC5MzLywO5oW542d+8yza3Dnul13MWJL7V9V5VXU43V1Gd0tyP7rK41HAp4GHznBxVwH3m7geh25IzFJ1DfBwgCQPB3Zv878EHJjkf7Tn7pXkviOJcP7sCPygJdXHA5u837YNvl9V7waOpdt2X6MbZrdHa7Ndkt+ax7g1gHlh1q7BvDDBvLDEmBdm7RrMCxPMC0uMeWFafuZn7xoWUe5cqtWzYXhjuhvBhO4/8xLg74FDkvyKbljQv85kQVV1a5K/BD6f5Gd0w4iWqpOAF7ThaOcB3wCoqiuSvBb4QpKtgF8BfwV8Z2SRDt+HgM+04Xhrga9P0mZ/4NXtM3Uz8IKq2pDkUOCEJNu0dq+lbUuNlHlhdswLG5kXlh7zwuyYFzYyLyw95oWp+ZmfvUWVO/2pzRFJsn1V3ZzuIpx3AN+sqreMOi5Jo2NekNTPvCCpn3lBi5WXXYzOn6W7cczldEON3jXieCSNnnlBUj/zgqR+5gUtSo58kCRJkiRJQ+XIB0mSJEmSNFQWHyRJkiRJ0lBZfJAkSZIkSUNl8WFMJbm57/GhSd4+LuuXFoskb0nyyp7HpyU5tufxvyf5mySnzNH6jkjyqime339z15XkyCRPmuL5rZNsSPJvm7PcuZRkdZKj2vSk2yDJqiSXzX90GldJbk+yLsllST6T5B6zWMbeSZ42jPjmKoYkD2nvc12SG5J8u01/cUD7ryRZPcn8aY8lktwnySlJLklyRZJTN/8dDVz2OXO1LGk6PfnhkiQXJXn0LJfzkiQvmOv4Bqxr3vf3SZ6dZM9p2hza4lqX5PIkH09yt/bcHduntfvNWcZxx3HGOLP4oCUlydajjkGaY2cDjwZov9O8E/CgnucfDdxlBHHNWFUdXlWbfIlIsqxN/j7d71I/t/1s2LyrqrVV9fJRrFuawq1VtXdVPRi4ge432jfX3sCcFR96+u2cxVBVl7b3uTdwMvDq9nhg0XILHAmcXlV7VdWewGtm+sJ0Bh47V9WsvvxJszSRH/YCDgNeN5uFVNXRVXX83IY20Cj2988Gpiw+NCe27fkg4JfAQbDJ9jkUmFXxweOMjsUHbSLJM5Ocl+TiJF9Mcp82/4gkH0hybpJvJvmzNn//JGcm+WySq5IcnWSrJH+S5K09y/2zJNP+BnE7u/jlJOuTfCnJyjb/uCQH9rS7uWf9ZyU5GbhijjeHNGrnAI9q0w8CLgN+muSeSbYBfge4CNi+Veq/nuRDEzv1JPsk+T9JLmyjJnZu8++f5PNt/llJHti/4iR7tBwwcVbl/u2pQes6PMkF7SztMT3z7+i7Sa5J8vokFwHPbcs7GPgP4Ls975UkT2nrvSTJl9q87ZO8L8mlLUf8YZv/5JabLkrysSTbt/n/1s5urk/ypjbvuS3GS5Kc2eb1j+jYqz/X9W2bZUne2N7v+iR/PvP/UmlWzgV2gcH9t/+zneQudF+2D0p3Ru+gJPu2z/bFSc5J8tvttXcaNZBudMD+bfrmdKOsLgEeNUVf/0rr3+cn+UaSxw6I4feycaTDxUnuPtkbHrSe5pBsHBWy7ySvXZHkpPb6C5Ls157aGbhuol1Vre95zat7+vQ/t3mr0h3bHE+Xf/9Xkjf2vOaO7ZaeUZ1J/r7lqUvSzvIO+n+T5sAOwI9h0/1ZkrcnObRNT7ZPvGO032R9uM2fdJ+XZOeWayb64mNb2+Pa40uT/HVPnMPc31+T5A2t/fnpjmEeDRwAvLHFeP8kL+/ZBh/p35DpTmRu17M9j0jyqnTHMauBD7Vl3TXJ77Y8eklb592TbNsT98VJHt///9KW+d62vb+VZHyKElXl3xj+AbcD63r+vgu8vT13Tzb+DOufAv/epo8ALgHuSnf29Vq66t/+wM+B+wHLgNOBA4Htgf8LLG+vPwd4yAzW/xnghW36T4BPtenjgAN73sPN7d/9gZ8Bu496u/rn3zD+gG8DK4E/B14C/AvdWcT9gLNaH7gR2JWuqHwu8Bhgeet3K9pyDgLe26a/BDygTT8C+HKbPgJ4VZs+D3hOm94WuNugdbU29+qJ+QPAM9v0HX0XuAb4u5522wL/1fLKGuBtbf6KlmN271028HrgrT2vv2fLR2cC27V5fw8cDtwbuIqN+ewe7d9LgV365u0PnNKzDSbLdauAy1qbNcBr2/Q2wFpzkH9z/dezn1sGfAx4Sns8qP9O9tk+lLZ/bY93ALZu008CThrQ7hRg/zZdwPN6nhvU17/CxmOGpwFfHLDszwD7tentJ+Jpj3vzxVTreXebflxPv7xjPcCH2ZibVgJXtuk/AH4CnAH8I/Cbbf6TgWOA0OW2U9qyVwG/Bh7Z2q0Aru6J63M965n4/3oqXe69W+/7GPT/5p9/s/lj47H01+n2y/u0+fvT9mft8dtb3xi0TzyCjfv9QX140n0e8LfAP7b5y4C7A/vQjS6ibz1D29+36Wt6YnkBG/fpx3Hn7w//BWzTF9uhwIa2Pb9Pd2y1bMD2Wd2m7wJ8C/jd9ngHYOu2TSaOtR5I9x1nWzY9zjinbcudgB/Rvi8t9T+HqI+vW6sb3gh0lXu6ah50XypOTHeG9C50X3wmfLqqbgVuTXIGsC/dTvz8qvpWW9YJdDvijyf5MvCMJFfSdapLZ7D+RwH/X5v+APCGGbyf86vq29M3kxalc+gur3g08Ga6s5+PpjvYOLu1Ob+qrgNIso7ugPknwIOB09sJw2XA9e0swaOBj/WcSNymd4XtTOQuVfVJgKr6eZs/aF1fBR6f5O/oihT3Ai6n+5LR78Se6WcAZ1TVrUlOojur+ErgkcCZE/26qm5o7Z8EPH/ixVX14yTPoBtSeXaL7y50RZEb6Qqj72lnGybOBJ0NHJfko8AnJokPJs9163qefzLw0GwcjbUj8ADunC+lLXXX1sd2Aa6k68tT9d+ZfLZ3BN6f5AF0RYXlM4jjduCknsdT9fWJ9V5Ilxsmczbw5iQfAj4xkU8mMdV6TgCoqjOT7JBN74fxJGDPnm20Q5Ltq+q0JPcDnkJXJLg4yYPp+vSTgYtb++3p+vR3ge9U1dfa+ja0M5WPBL5J9+ViIg/3rvt9VXVLe80NM8m70ma641g6yaOA49tneZBB+8R+k/XhQfu8C4D3JllOd7JwXZJvAfdL8jbgs8AX2muGub+fcELPv4NGW6+nG73wKeBTPfNPrKqXplvwO4BXA1Pdm+K3geur6oIW300ASR4DvK3N+3qS7wC/NcnrP1tVvwB+keQHwH3oGZW1VFl80GTeBry5qk5ON+TyiJ7nqq9tTTP/WOAf6Kqy79vCuG6jXSqU7prL3uvcf7aFy5YWson7PjyEbtjvtXSV9ZvY2K9+0dP+drr8HuDyqnpUz3Mk2QH4SW8BcDNtsq4k2wL/SXdG4NokR9BV+ifT218PBh6T5Jr2+N7AEzYzntCdZTl4kye64dhPpBuN9VLgCVX1kiSPAJ4OXJhkn0mWOSin9a7zZVV12mbGKm2OW6tq73Q3PjuN7p4PxzGg/87ws/0vdF8AnpNkFd2ZPOjZxza9/ffnVXU7wAz6+kR+mMhDm6iqf0vyWbozq2cn+YOq+npvmxmsZ7o+uhXdaIWfT7L+G+hGRny4fQl7HF2ffl1VvasvjlVseozxEeB5dMc2n6x2KnMaW7FleVcaqKrOTbIT3SiCSftyVd022T5xksVN1ocH7vOSPI4u5xyX5M1VdXySvehGGb2Erq/8CUPe3zc1YLrX0+n6/DOBf0zykDstoKqSfAZ4GVMXH7bUZMdtS573fNBkdgS+16Zf2Pfcs9q1TPemGz50QZu/b5LdW1HgILqzoFTVecBuwB+xsRo5nXPYWOn8Y7qhT9ANp5o4kDqAmZ2tkZaCc+jOGNxQVbe3A+d70I0Smuru6lcBK9oZEZIsT/KgVp3/dpLntvlpBwp3qKqfAtcleXZrs037AjTIxJeCH7YzfAdO0Za2zB2AxwIrq2pVVa2i+3J1MPA14HFJdm9t79Vedjo9N91Lcs/Wdr8ke7R52yX5rRbHjlV1KvDXwF7t+ftX1XlVdTjdMMvdJglvUK6bcBrwF+1sD2192033nqXZaGfQX05XdLyFAf13wGf7p3RDoSf07uMP7Zl/DbB3uns27UY32mcym93X+2NocV5aVa+n61uT3ftguvUc1Jb1GODGqrqx7/kv0H15mFjnxBniJ2TjXezvDtyfbnTDacCfZOP147sk+R8D3s8ngWfR5apNrhmny1Mv6lnPvWaSd6XZSnf/kGV0w/e/QzfqZ5s2IuiJrc2k+8QZmnSfl+S+wPer6t10Jxwf3oogW1XVScBr27yh7u974jyo59+JERF35J/2PWW3qjqD7pKNHelGOfV7DN2l4/16c9lVwM5Jfrct++7p7hdxFt33F1psK1tbYfFBkzuCbljghcAP+55bT3ed5NeAf6mq/2rzL6C7puxKumHHn+x5zUeBs6vqxzNc/8vodtrrgUOAV7T57wZ+L+2GVzjaQePjUrprAr/WN+/Gqurvo3eoql/SHbC/vvWbdbRfzqDbMb64zb+c7kC63yHAy1tfPAf4jSnW9RO6PnoZ3UFK/5f1yTyH7prn3ur/p+nORtxEd03oJ1qME5dq/G/gnmk31QMeX1Ub6L5EndBiPZfuy8zdgVPavK8Cf9OW8cZ0N4K6rL2vSyaJbVCum3As3Q1uL2rLeRdjctZCo1FVF9N9Lg9mcP+d7LN9Bt0XkXVJDqK7lPF1SS7mzp/Zs+n231cAR9HdyHayOGbT1/tjeGXrw+uBX9HdN2Fz1/Pz9h6OBl48yTpfDqxOd1O5K+jOwEJ3EmNtT644tqouqKov0I2GODfJpcDHuXPRpje2H9Md79y3qs6f5PnP0/1qx9p0l81M/HTvTPKuNFN3bX1qHd0+8oXtBMW1dMfel7V/Jy4lGrRPnIlB+7z9gUtaXzyI7maSuwBfaXF9kO6XOIa9v59wzzb/FXQFFugKhK9uMT4A+GDr4xcDR7VcAxtvirseeBjdKLF+xwFHt/e2rL3nt7X4Tqcrmv4nsFVbx4nAoX3ve6xN3HBEmla6IY83V9Wb+ubvT3cjlmcMeN0pwFuq6ktDD1KSJEnSWEl3OcfqqU7KaPQc+aChSXKPJN+gu2bVwoMkSZIkjSlHPkiSJEmSpKFy5IMkSZIkSRoqiw+SJEmSJGmoLD5IkiRJkqShsvggSZIkSZKGyuKDJEmSJEkaqv8Hr11tNI7Bh30AAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "count=0\n",
        "fig,axes=plt.subplots(4,4,figsize=(18,15))\n",
        "\n",
        "for i in column_names[16:32]:\n",
        "  sns.barplot(x=i, y=\"stars\", data=df2, ci=None, ax=axes[count//4,count%4])\n",
        "  count+=1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 881
        },
        "id": "OF3EC6GGu0St",
        "outputId": "dbd59e10-9e7e-4b08-d172-36cc085dff50"
      },
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x1080 with 16 Axes>"
            ],
            "image/png": 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lcTc6dxskjRnzgqR+LFfucFZ7afXwnEIaL4sNu/hD4GXAz9EZfxU6kzx9Dzi53dAkDSnzgqR+7HDu6GVWe2AjwOTkZC1P2JJa5DmFNEYWHHZRVW+pqocBfwmsb5bfRecxeE4sJ40h84Kkfuxo7nBWe2n18ZxCGi89zfkAHFNVtyd5AnAYcBrw9vbCkjQCzAuS+tFv7piZ1f6wJFua1xFtBippxXhOIY2BXosPdzV/Hgm8o6o+Bty7nZAkjQjzgqR+9JU7quqiqkpVPaqq1jcvH6cnrQ6eU0hjoNfiw41J/hE4FtiU5D5L2FfS6mRekNQPc4ekbuYFaQz0+qP+HeCTwG9U1a3AA4ETWotK0igwL0jqh7lDUjfzgjQGFnvaBQBV9X3g3FnrNwE3tRWUpOFnXpDUD3OHpG7mBWk82J1JkiRJkiS1qrXiQ5J3Jrk5yZXzvH9okttmzVh9YluxSJIkSZKkwelp2EWfzgBOAc5aoM1nq+rpLcYgSZIkSZIGrLWeD1V1IfCdto4vafTYI0qSJEkaT4Oe8+FxSS5P8vEkjxxwLJLadwZw+CJtPltV65vXSSsQkyRJkqSWDbL4cBnw0Ko6ADgZ+NB8DZNsSDKVZGp6enrFApS0vOwRJUmSJI2ngRUfqur2qtrWLG8C1iTZY562G6tqsqomJyYmVjROSSuupx5RFiUlSZKk0TGw4kOShyRJs3xwE8stg4pH0lDouUeURUlJkiRpdLT2tIsk7wUOBfZIcgPwWmANQFWdChwDvDDJduAO4JlVVW3FI2n4VdXts5Y3JfmHJHtU1bcHGZckSZKkHdNa8aGqjlvk/VPoPIpTkoBOjyjgW1VV9oiSJEmSVo/Wig+S1M0eUZIkSdJ4svggacXYI0qSJEkaT4N81KYkSZIkSRoDFh8kSZIkSVKrLD5IkiRJkqRWWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJEmSJElSqyw+SJIkSZKkVll8kCRJkiRJrWqt+JDknUluTnLlPO8nyVuTXJdka5JHtxWLJEmSJEkanDZ7PpwBHL7A+08D9m1eG4C3txiLpCFgUVKSJEkaT60VH6rqQuA7CzQ5GjirOj4P7J5kz7bikTQUzsCipCRJWgaL3dSQNFwGOefDXsA3Z63f0GyTtEpZlJQkScvoDBa+qSFpiIzEhJNJNiSZSjI1PT096HAktceipCRJ6kkPNzUkDZFBFh9uBPaZtb53s+2nVNXGqpqsqsmJiYkVCU7ScLMoKY0Xu1dLkjTaBll8OA94bjPB3GOB26rqpgHGI2nwLEpKms8Z2L1a0hJ5s0IaHm0+avO9wOeAX0xyQ5LnJ3lBkhc0TTYBXwOuA94B/FFbsUgaGRYlJc3J7tWS+uHNCml47NzWgavquEXeL+BFbX2+pOHTFCUPBfZIcgPwWmANQFWdSqcoeQSdouT3gecNJlJJkiRJy6m14oMkdbMoKalNSTbQeUwva9euHXA0kto2102Nqjp9sFFJmo/FB0mStCpU1UZgI8Dk5GQNOBxJLVvspoak4TISj9qUJEmSJEmjy+KDJEkaenNNZD3omCRJUu8cdiFJkoae3aslSRpt9nyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJEmSJElSqyw+SJIkSZKkVll8kCRJkiRJrWq1+JDk8CRfSnJdklfN8f7xSaaTbGlev99mPJIkSZIkaeW1VnxIshPwNuBpwH7AcUn2m6PpOVW1vnmd1lY8koaDRUlJkiRp/Ozc4rEPBq6rqq8BJHkfcDRwdYufKWmIzSpKPhW4Abg0yXlV1Z0XzqmqF694gJIkSZJa0eawi72Ab85av6HZ1u23kmxN8oEk+7QYj6TB+3FRsqp+CMwUJSVJkiStYoOecPIjwLqqehRwPnDmXI2SbEgylWRqenp6RQOUtKyWrShpXpAkSZJGR5vFhxuB2RcNezfbfqyqbqmqO5vV04CD5jpQVW2sqsmqmpyYmGglWElDo6eipHlBkiRJGh1tFh8uBfZN8rAk9waeCZw3u0GSPWetHgVc02I8kgZv2YqSkiRJkkZHaxNOVtX2JC8GPgnsBLyzqq5KchIwVVXnAX+c5ChgO/Ad4Pi24pE0FH5clKRTdHgm8LuzGyTZs6pualYtSkqSJEmrQJtPu6CqNgGburadOGv51cCr24xB0vCwKClJkiSNp1aLD5LUzaKkJEmSNH4G/bQLSZIkSZK0yll8kCRJkiRJrbL4IEmSJEmSWmXxQZIkSZIktcrigyRJkiRJapXFB0mSJEmS1CqLD5IkSZIkqVUWHyRJkiRJUqssPkiSJEmSpFZZfJAkSZIkSa2y+CBJkiRJklpl8UGSJEmSJLXK4oMkSZIkSWpVq8WHJIcn+VKS65K8ao7375PknOb9S5KsazMeSYNnXpDUr8Xyh6TxY16QRkdrxYckOwFvA54G7Accl2S/rmbPB75bVY8A3gS8vq14JA2eeUFSv3rMH5LGiHlBGi1t9nw4GLiuqr5WVT8E3gcc3dXmaODMZvkDwJOTpMWYJA2WeUFSv3rJH5LGi3lBGiFtFh/2Ar45a/2GZtucbapqO3Ab8KAWY5I0WOYFSf3qJX9IGi/mBWmE7DzoAHqRZAOwoVndluRLg4xnDnsA317JD8zf/d5KftyOWvHvh9eO3I3ylf9/6I8X/Y4euhJx9Mu88NPMCz0YrdxgXlgi88JPMy/0wLywIPNC68wLCzMvLG5k8kKbxYcbgX1mre/dbJurzQ1JdgYeANzSfaCq2ghsbCnOHZZkqqomBx3HsPL7WdwYfUfmBQF+P73wO/opi+YP88Jo8/tZnN/RTzEvrHJ+P4sbpe+ozWEXlwL7JnlYknsDzwTO62pzHjBTejsG+HRVVYsxSRos84KkfvWSPySNF/OCNEJa6/lQVduTvBj4JLAT8M6quirJScBUVZ0HnA68O8l1wHfoJAxJq5R5QVK/5ssfAw5L0gCZF6TR0uqcD1W1CdjUte3EWcs/AH67zRhWyNB25RoSfj+LG5vvyLyght/P4vyOusyVP0aM/00X5vezOL+jLuaFVc/vZ3Ej8x3F3sySJEmSJKlNbc75IEmSJEmSNBqP2hyUJEcB+1XV3yxxv/+oqse3FNZQSHIXcMWsTb9ZVdfP03ZbVd1vRQIbMkkeBHyqWX0IcBcw3awfXFU/HEhg6pt5YX7mhd6YF1Yf88L8zAu9MS+sPuaF+ZkXerMa84LDLtSXpSSCcU4asyX5C2BbVf3drG07V9X2wUUlLR/zwtKZF7TamReWzryg1c68sHSrJS+M7bCLJOuSXJvkjCRfTnJ2kqckuTjJV5IcnOT4JKc07X87yZVJLk9yYbPtkUm+kGRLkq1J9m22b2v+PDTJZ5J8oPmss5Okee+IZtvmJG9N8tFBfRfLIcn9knwqyWVJrkhy9Bxt9kxyYfN9XZnk/2m2/3qSzzX7/nOSVZ1gmv/nTk1yCfC3Sf4iyStmvX9lknXN8rNn/T/2j0l2GlDYY8G8sLzMC70zLwwv88LyMi/0zrwwvMwLy8u80LtRzwtjW3xoPAL4e+CXmtfvAk8AXgG8pqvticBvVNUBwFHNthcAb6mq9cAkcMMcn3Eg8DJgP+DhwCFJdgH+EXhaVR0ETCznX2qF7Nr8j7wlyb8APwCeUVWPBp4E/P1Mgpzld4FPNt/XAcCWJHsAfw48pdl3CvjTlftrDMzewOOrat6/a5JfBo4FDmm+s7uAZ61QfOPMvNA/88KOMS8ML/NC/8wLO8a8MLzMC/0zL+yYkc0L4z7nw39W1RUASa4CPlVVleQKYF1X24uBM5K8Hzi32fY54P9LsjdwblV9ZY7P+EJV3dB8xpbmuNuAr1XVfzZt3gtsWL6/1oq4o/kfGYAka4C/SvJE4G5gL+DBwH/N2udS4J1N2w9V1ZYkv0YnoV7c5Jh70/leV7t/rqq7FmnzZOAg4NLmu9kVuLntwGRe2AHmhR1jXhhe5oX+mRd2jHlheJkX+mde2DEjmxfGvfhw56zlu2et303Xd1NVL0jyq8CRwOYkB1XVe5ouL0cCm5L8YVV9eoHPuKv7uKvIs+hUXg+qqh8luR7YZXaDqrqwSSpH0knAbwS+C5xfVcetdMAD9t+zlrfzk72QZr63AGdW1atXLCqBeWE5mReWxrwwvMwLy8e8sDTmheFlXlg+5oWlGdm8MO7DLnqW5Oer6pKqOpHOLKP7JHk4ncrjW4EPA4/q8XBfAh4+Mx6HTpeYUfcA4OYmYTwJeGh3gyQPBb5VVe8ATgMeDXyeTheyRzRt7pvkF1Yw7mFwPZ3vgiSPBh7WbP8UcEyS/9G898DmO9SQMC8syrzQv+sxL4wk88KizAv9ux7zwkgyLyzKvNC/6xmhvLBaq2dteEM6E8GEzn/My4E/A56T5Ed0ugX9VS8Hqqo7kvwR8Ikk/02nG9GoOxv4SNPVbAq4do42hwInNN/XNuC5VTWd5HjgvUnu07T7c+DL7Yc8ND4IPLfpsncJzd+9qq5O8ufAvya5F/Aj4EXA1wcWqbqZFxZmXuifeWF0mRcWZl7on3lhdJkXFmZe6N9I5QUftTkgSe5XVdvSGYTzNuArVfWmQcclaXDMC5K6mRckdTMvaFQ57GJw/iCdiWOuotPV6B8HHI+kwTMvSOpmXpDUzbygkWTPB0mSJEmS1Cp7PkiSJEmSpFZZfJAkSZIkSa2y+CBJkiRJklpl8WEVSPLgJO9J8rUkm5N8LskzluG4n0ky2Sxfn+SKJFua1+OXcJzjk0wn+WKSryT55FL2X8LnnJTkKct9XGncJHlIkvcl+WqTUzYt9bnZSXZvHgU2e9svNMf6SpLLkry/yV/HJzllGeJeluNIWh5J7mrOGS5vfvOPT/IHSc6Z1Wa3Jtc8PMkjk3w6yZeaPPG/m9n8Z59LbElyVZIPJPmZwf3tpOE312+wx/3enOTG5hGNbcS1Kcnui7Q5PsnPtfH5C31Okns3f//rmjz04SR793CcM5Ic0260o8/iw4hr/lH+EHBhVT28qg4Cngks+iPpw5Oqan3z+o8e49u5WTynqg6sqn2BvwHOTfLLyxlcVZ1YVf+2nMeUxk2TU/4F+ExV/XyTU14NPHiJh9od+HHxIckuwMeAt1fVvlX1aOAfgInliVzSELqjOWc4gE4e+WvgNGCfWTcLTgLeCdwEnAf8TVX9InAA8Hhm5RE65xLrq+qRwA+BY1fo7yGNqrl+gwtqCg7PAL4J/FobQVXVEVV16yLNjgdaLz7M8Tl/Bdwf+MXmuuVDdK5bsgKxrHoWH0bfYcAPq+rUmQ1V9fWqOjnJLkne1fRY+GKSJ0HnImCe7bs2dzuvSfIvwK4LfXCSdc0diq1JPpVkbbP9jCSnJrkE+Nvu/arqAmAjsKFp/wdJLm2qsh+cuZPRHOetSf6j6dVxzKzP/rMm/suT/M2s9sc0y9cneV1T5b0iyS812yeSnN/cNTktydeT7NH3ty+tPk8CftSVUy4HLkryhiRXNr+pY6HzrPHm9z/zWzu62e1vgJ9v7ri8Afhd4HNV9ZFZx/1MVV3ZrP5ckk80dxl+nDeS/Ho6vbkuS/LPSe7XbH9MkxsuT/KFJPef/ZdIcmSzn79vaTjsBny3Oo9ZewHw5nR6Vz4ZmMkRF1fVvwJU1feBFwOv6j5Qc2PjvsB3Vyh2aTXYjeY3k+SsJL8580aSs2f9+30onUd4vh04blabv0jy7ubf1q8k+YNm+6FJLkzysXR6LZ0602MiyXHNucGVSV4/61jXJ9mjuZa4Jsk7mnPzf22uR44BJoGzm/OIXZt9/rpZn0ry6HR6U381yQtmHfuE5rpia5LXNdt6/Zz7As8D/qSq7gKoqncBdwKHzXec2V9yksOSfGjW+lOb6yph8WE1eCRw2TzvvQioqvoVOsnjzHTuPs63/YXA96vql4HXAgd1He+C5od5SbN+MnBmVT0KOBt466y2ewOPr6o/nSe2y4BfapbPrarHNFXZa4Dnz2q3J/AE4Ol0LmZI8jTgaOBXm31+qsDR+HZzd/XtwCuaba8FPjx5aukAACAASURBVN3cNfkAsHaefaVxtT+weY7t/wtYT+du5FOANyTZE/gB8Izmt/Yk4O+ThM4Fw1ebOy4nLHDcGevp3MX8FeDYJPs0hYM/B57SHH8K+NMk9wbOAV7a5ICnAHfMHCidYWevAo6oqm/3+0VI2mG7NucN19Lp8fB/AKpqK/BJ4FPAS6rqh3TOZ34iR1TVV4H7Jdmt2XRski3AjcADgY8gaSFz/gaB0+nc8SfJA+j0MvpY895xwHvp9II8MsmaWcd7FJ0bn48DTsw9wxUOBl4C7Af8PPC/mvde37RfDzxmdsFjln2BtzXn5rcCv1VVH6Dzb/6zmvOImX/jv1FV64HPAmcAxwCPBWaKDL/eHO/g5jMPSvLEXj+nif0bVXV7V4xTdHLUnMfpansB8EtJZnp2Po9O7y5h8WHVSfK25k7gpXQu2v8JoKquBb4O/MIC2584a/tWYGvX4WeGXfxqs/444D3N8rub487455mK4XyhzlreP8lnk1wBPIt7ftwAH6qqu6vqau7p9v0U4F3NXRGq6jvzfMa5zZ+bgXXN8hOA9zX7fQLvmki9egLw3qq6q6q+Bfw78Bg6v+W/SrIV+DdgL5Y+RAPgU1V1W1X9ALgaeCidE4r9gIubC47fa7b/InBTVV0KUFW3V9X25jiHAX8GHFlV/r6lwZrp8v1LwOHAWU1xEuBtwI1V9ZklHO+c5gLhIcAVwAnLGq20+sz5G6yqfwf2bS6QjwM+WFXbm+L+EXTOv28HLgF+Y9bxPlxVdzSF/QvoXOQDfKGqvtac+7+XzjnDY+gM4Zxu/o0+m861Rrf/rKotzfLsc/a5nNf8eQVwSVV9r6qmgTvTmUPi15vXF7nnRue+fXzOQhY8TtO7693As5uYHgd8vM/PWnUsPoy+q4BHz6xU1YvodGEc9Djq/17k/QPp9HKATuXyxU1PjNcBu8xqd+es5aWOtZrZ9y5g54UaSvqxq/jpXk8LeRadfHNQc1HwLX7yN9zrcWf/1md+swHOnzXXzH5V9fy5d/+xr9IZq7mkCTIltauqPgfswT3nJ3c3rxlX05Ujkjwc2NZ9F7I5uf8Ic1/ISJrDHL/Bs4Bn85N35n+DzpxNVyS5nk4R4bjZh+k+7CLbezHXv/+Ltb27a7+7uee84a9nnTc8oqpOX8LnfBVY2z2Uk05uumoJx3kXne/2ODo3ZLfP0WYsWXwYfZ8GdknywlnbZmZ//iydCwPSmal+LfClBbZfSGfMJUn2p9O1aiH/QWdyS5rjfbaXgJP8Gp35Ht7RbLo/cFPTretZPRzifOB5uWduiAf28rmNi4Hfafb7deBnl7CvNA4+DdwnyYaZDUkeRadr4bFJdmrulDwR+ALwAODmqvpROvPHPLTZ7Xt0ftsz3gM8PsmRs477xCbXzOfzwCFJHtG0v2+Ts74E7JnkMc32++eeyW2/TqcL5FlJHjnXQSWtvHTmXtoJuGWeJmcDT0gzEWUzjvqtzD+08gl0LhQk9WCO3+AZwMsAmh7G0LlY/v2qWldV64CHAU/NPU+WOTqdueMeRGduiEub7QcneVgz18OxwEV0zhF+rZnbYafm2P++hJC7zyN68Ung/80980PtleR/9Po5VfXfwJnAG5uYSfJcOtdWn+41iKr6v8D/pTN09F1L/Dusat4NHnFVVc34qTcleSUwTafXwZ8BHwbe3gxn2A4cX1V3JvmHeba/HXhXkmvo9EpYaHw2dMZ2vSvJCc3nPm+BtscmeQKdH+9/0hlnNdPz4X/T6dY13fy5YKKpqk8kWQ9MJfkhsAl4zSKxzngd8N4kzwE+B/wXnaQjiR/nlGfQmQzuz+jM6XA9nROU+wGX07mj8cqq+q8kZwMfafLJFHBtc5xbklyc5Erg41V1QpKnN8d9M/AjOkO7XrpALNNJjqfzm71Ps/nPq+rL6Ux4eXJzgXIHneFYM/tdm+RZwD8n+Z/NuHFJK2/XZsgUdO5I/t58QzKr6o50Jrw7Ocnb6FwkvRuY/fjcmXOJewE30IxZlzSveX+DVfWt5pz/QwBNgeFwOhPC0rT57yQXAf+z2bSVznCLPYD/U1X/t7kpcCmd3+ojmvf/paruTvKqZj3Ax6rqw0uI/Qzg1CR30Bm6sKiq+td0nqb3uWaE1zY6PRAWGgre/TmvBv4O+HKSu+mc1zyjOT9aQvicDUzMut4RkE7PNWk8NBcwdzXj2h5H57F/6wcdlyRJkrRSmmLDFcCjq+q2Htr/BZ1hUH/Xtf1Q4BVV9fQ24hxVSU4Bvjhr2Iew54PGz1rg/U23sB8CfzDgeCRJkqQV0wxvOh14Uy+FBy1Nks10eqK/fNCxDBt7PkiSJEmSpFY54aQkSZIkSWqVxQdJkiRJktQqiw+SJEmSJKlVIzfh5B577FHr1q0bdBjSqrd58+ZvV9XEoOPohXlBWhnmBUndzAuSus2XF0au+LBu3TqmpqYGHYa06iX5+qBj6JV5QVoZ5gVJ3QadF5LsBEwBNy72uEfzgrQy5ssLDruQJEmSNKpeClwz6CAkLc7igyRJkqSRk2Rv4EjgtEHHImlxFh8kSZIkjaI3A68E7p6vQZINSaaSTE1PT69cZJJ+isUHSUMpyU5Jvpjko4OORdJwMC9ImpHk6cDNVbV5oXZVtbGqJqtqcmJiJObFlFYtiw+ShpVjOCV1My9ImnEIcFSS64H3AYcl+afBhiRpIRYfJA0dx3BK6mZekDRbVb26qvauqnXAM4FPV9WzBxyWpAVYfJA0jBYdwylp7JgXJEkaYTsPOgCtrG+c9CuDDmFFrD3xikGHoD7NHsOZ5NAF2m0ANgCsXbt2haJbncYlL4C5YVSZF1aeeUGjpKo+A3xmwGGseuYF7ajWig9JdgEuBO7TfM4Hquq1XW2OB94A3NhsOqWq+u5OedAJZ/W768jZ/IbnDjoEqS0zYziPAHYBdkvyT91dKatqI7ARYHJyslY+TEkryLwgSdKIa3PYxZ3AYVV1ALAeODzJY+dod05VrW9ejuOUxpxjOCV1My9IkjT6Wuv5UFUFbGtW1zQv70JIkiRJkjRmWp3zIclOwGbgEcDbquqSOZr9VpInAl8G/qSqvtlmTJJGh2M4NSwOOfmQQYewIi5+ycWDDmFR5gVJkkZTq0+7qKq7qmo9sDdwcJL9u5p8BFhXVY8CzgfOnOs4STYkmUoyNT093WbIkiRJkiRpma3Iozar6lbgAuDwru23VNWdzeppwEHz7L+xqiaranJiYqLdYCVJkiRJ0rJqrfiQZCLJ7s3yrsBTgWu72uw5a/Uo4Jq24pEkSZIkSYPR5pwPewJnNvM+3At4f1V9NMlJwFRVnQf8cZKjgO3Ad4DjW4xHkiRJkiQNQJtPu9gKHDjH9hNnLb8aeHVbMUj9cGI5SZIkSVpeKzLngyRJkiRJGl8WHyRJkiRJUqssPkiSJEmSpFa1OeGkJEmSJI2Eg044a9AhrIjNb3juoEPQmLLngyRJkiRJapXFB0mSJEmS1CqLD5IkSZIkqVXO+SBJksaOY7slSVpZFh8krWrjcoEBXmRIkiRpeDnsQpIkSZIktcrigyRJkiRJapXDLiRJkqQlOuTkQwYdwoq4+CUXDzoESauEPR8kSZIkSVKrLD5IkiRJkqRWtVZ8SLJLki8kuTzJVUleN0eb+yQ5J8l1SS5Jsq6teCRJkiRJ0mC02fPhTuCwqjoAWA8cnuSxXW2eD3y3qh4BvAl4fYvxSJIkSZKkAWit+FAd25rVNc2rupodDZzZLH8AeHKStBWTJEmSJElaea3O+ZBkpyRbgJuB86vqkq4mewHfBKiq7cBtwIPajEmSJEmSJK2sVosPVXVXVa0H9gYOTrJ/P8dJsiHJVJKp6enp5Q1SkiRJkiS1akWedlFVtwIXAId3vXUjsA9Akp2BBwC3zLH/xqqarKrJiYmJtsOVJEmSJEnLqM2nXUwk2b1Z3hV4KnBtV7PzgN9rlo8BPl1V3fNCSJIkSZKkEbZzi8feEzgzyU50ihzvr6qPJjkJmKqq84DTgXcnuQ74DvDMFuORJEmSJEkD0Frxoaq2AgfOsf3EWcs/AH67rRgkSZIkSdLgtdnzQZIkSZKksXDIyYcMOoQVcfFLLu5rvxWZcFKSJEmSJI0viw+SJEmSRk6SXZJ8IcnlSa5K8rpBxyRpfg67kCRJkjSK7gQOq6ptSdYAFyX5eFV9ftCBSfppFh8kSZIkjZyqKmBbs7qmedXgIpK0EIddSBo6dqOU1M28IGkuSXZKsgW4GTi/qi4ZdEyS5mbxQdIwmulGeQCwHjg8yWMHHJOkwTIvSPopVXVXVa0H9gYOTrL/7PeTbEgylWRqenp6MEFKAiw+SBpC1WE3Skk/Zl6QtJCquhW4ADi8a/vGqpqsqsmJiYnBBCcJsPggaUjZjVJSN/OCpNmSTCTZvVneFXgqcO1go5I0H4sPkoaS3SgldTMvSOqyJ3BBkq3ApXSKkh8dcEyS5mHxQdJQsxulpG7mBUkAVbW1qg6sqkdV1f5VddKgY5I0P4sPkoaO3SgldTMvSJI02nYedACSNIc9gTOT7ESnSPp+u1FKY8+8IEnSCLP4IGnoVNVW4MBBxyFpeJgXJEkabQ67kCRJkiRJrWqt+JBknyQXJLk6yVVJXjpHm0OT3JZkS/M6sa14JEmSJEnSYLQ57GI78PKquizJ/YHNSc6vqqu72n22qp7eYhySJEmSJGmAWuv5UFU3VdVlzfL3gGuAvdr6PEmSJEmSNJxWZM6HJOvoTBJ1yRxvPy7J5Uk+nuSRKxGPJEmSJElaOa0/7SLJ/YAPAi+rqtu73r4MeGhVbUtyBPAhYN85jrEB2ACwdu3aliOWJEmSJEnLqdWeD0nW0Ck8nF1V53a/X1W3V9W2ZnkTsCbJHnO021hVk1U1OTEx0WbIkiRJkiRpmbX5tIsApwPXVNUb52nzkKYdSQ5u4rmlrZgkSZIkSdLKa3PYxSHAc4Arkmxptr0GWAtQVacCxwAvTLIduAN4ZlVVizFJkiRJkqQV1lrxoaouArJIm1OAU9qKQZIkSZIkDd6KPO1CkiRJkiSNL4sPkiRJkiSpVRYfJEmSJElSqyw+SJIkSZKkVll8kCRJkiRJrbL4IEmSJEmSWmXxQZIkSZIktcrigyRJkiRJapXFB0mSJEmS1CqLD5IkSZIkqVUWHyRJkiRJUqssPkiSJEmSpFYtufiQ5F5JdmsjGEmrl7lDUjfzgqRu5gVp9eqp+JDkPUl2S3Jf4Erg6iQntBuapFFn7pDUzbwgqZt5QRoPvfZ82K+qbgd+E/g48DDgOQvtkGSfJBckuTrJVUleOkebJHlrkuuSbE3y6CX/DSQNsyXnDkmrnnlBUjfzgjQGei0+rEmyhk5COK+qfgTUIvtsB15eVfsBjwVelGS/rjZPA/ZtXhuAt/ccuaRR0E/ukLS6mRckdTMvSGOg1+LDqcD1wH2BC5M8FLh9oR2q6qaquqxZ/h5wDbBXV7OjgbOq4/PA7kn2XEL8kobbknOHpFXPvCCpm3lBGgM7L9Ygyb2Ab1XVXrO2fQN4Uq8fkmQdcCBwSddbewHfnLV+Q7Ptpl6PLWk4LUfukLS6mBckdTMvSONj0Z4PVXU38MqubVVV23v5gCT3Az4IvKwZy7VkSTYkmUoyNT093c8hJK2wHc0dklYf84KkbuYFaXz0Ouzi35K8oplE8oEzr8V2asZufRA4u6rOnaPJjcA+s9b3brb9hKraWFWTVTU5MTHRY8iShkBfuUPSqmZekNTNvCCNgUWHXTSObf580axtBTx8vh2SBDgduKaq3jhPs/OAFyd5H/CrwG1V5ZALafVYcu6QtOqZFyR1My9IY6Cn4kNVPayPYx9C5xE5VyTZ0mx7DbC2OeapwCbgCOA64PvA8/r4HElDqs/cIWkVMy9I6tZvXkiyD3AW8GA6xYqNVfWW5YxN0vLptecDSfYH9gN2mdlWVWfN176qLgKy0DGrqvjJCqekVWapuUPS6mdekNStz7ywHXh5VV2W5P7A5iTnV9XVLYYqqU89FR+SvBY4lE5C2AQ8DbiITqVRkuZk7pDUrd+84B1OafXqNy80w7Vvapa/l+QaOk/Os/ggDaFeJ5w8Bngy8F9V9TzgAOABrUUlabXoK3c0E05dkOTqJFcleWnbgUpaMf2eU8zc4dwPeCzwoiT7tRempBW0w9caSdYBBwKXLHdwkpZHr8WHO5rH4GxPshtwMz/5lApJmku/ucOLDGn16isvVNVNVXVZs/w9YOYOp6TRt0PXGknuR+cJey+rqtu73tuQZCrJ1PT09LIGLWlpep3zYSrJ7sA7gM3ANuBzrUUlabXoK3fYjVJa1Xb4nMI7nNKq03deSLKGTuHh7Ko6t/v9qtoIbASYnJysZYtY0pL1+rSLP2oWT03yCWC3qtraXliSVoPlyB3zXWQk2QBsAFi7du0OxyppZexoXljsDifmBWnk9JsXkgQ4Hbimqt7YZoySdlxPwy6SfGpmuaqur6qts7dJ0lx2NHcsdJFRVRurarKqJicmJpYvaEmt2pG80MsdTvOCNHp2IC8cAjwHOCzJluZ1RGuBStohC/Z8SLIL8DPAHkl+lnsenbkbjrOUNI/lyB2LXWRIGi07mhe8wymtPjuaF6rqoln7SBpyiw27+EPgZcDP0Rl/FTqPt/oecHK7oUkaYTuUO7zIkFalHT2nmLnDeUWSLc2211TVphZilbQyvNaQxsiCwy6q6i1V9TDgL4H1zfK7gK/hhJOS5rEMucNulNIqs6N5oaouqqpU1aOqan3zsvAgjTCvNaTx0uujNo+pqtuTPAE4DDgNeHt7YUlaJfrKHV5kSKua5xSSupkXpDHQa/HhrubPI4F3VNXHgHu3E5KkVcTcIambeUFSN/OCNAZ6LT7cmOQfgWOBTUnus4R9JY0vc4ekbuYFSd3MC9IY6PVH/TvAJ4HfqKpbgQcCJ7QWlaTVwtwhqZt5QVI384I0BhZ72gUAVfV94NxZ6zcBN7UVlKTVwdwhqZt5QVI384I0HuzOJEmSJEmSWtVa8SHJO5PcnOTKed4/NMltsx6jd2JbsUiSJEmSpMHpadhFn84ATgHOWqDNZ6vq6S3GIEmSJEmSBqy1ng9VdSHwnbaOL0mSJEmSRsOg53x4XJLLk3w8ySPna5RkQ5KpJFPT09MrGZ8kSZIkSdpBgyw+XAY8tKoOAE4GPjRfw6raWFWTVTU5MTGxYgFKkiRJkqQdN7DiQ1XdXlXbmuVNwJokewwqHkmSJEmS1I6BFR+SPCRJmuWDm1huGVQ8kiRJkiSpHa097SLJe4FDgT2S3AC8FlgDUFWnAscAL0yyHbgDeGZVVVvxSJIkSZKkwWit+FBVxy3y/il0HsUpSZIkSZJWsUE/7UKSJEmSJK1yFh8kSZIkSVKrLD5IkiRJkqRWWXyQJEmSJEmtsvggSZIkSZJaZfFBkiRJkiS1yuKDJEmSJElqlcUHSZIkSZLUKosPkiRJkiSpVRYfJEmSJElSqyw+SJIkSZKkVll8kCRJkiRJrbL4IEmSJEmSWmXxQZIkSZIktaq14kOSdya5OcmV87yfJG9Ncl2SrUke3VYskiRJkiRpcNrs+XAGcPgC7z8N2Ld5bQDe3mIskiRJkiRpQForPlTVhcB3FmhyNHBWdXwe2D3Jnm3FI0mSJEmSBmOQcz7sBXxz1voNzTZJkiRJWtBiw7wlDZeRmHAyyYYkU8n/z96dh0lW13fff39kEZSojzIxhG1c0ARREEbcDe5bHnBBEU0U4x00isYYTdweMGa54+2SqKiIhqDeKiqoGQ2KBDUosg0wDIuiBIlCNIAoZhQV8Pv8cX4NNYfeZpjT1dX9fl1XX1N16lfnfPtMnU9Vf89SWXP11VePuxxJkiRJ43css5/mLWkRGWfz4Upg55H7O7Vpt1JVR1fVqqpatWLFigUpTtL4uCdDUp+5IKlvHqd5S1pExtl8WA08v33rxUOA66rqB2OsR9LicSzuyZC0oWMxFyRJmlhbDjXjJB8H9gO2T3IFcASwFUBVHQWcCDwFuBT4OfDCoWqRNFmq6tQkK8ddh6TFw1yQtCmSHEr3zXrssssuY65GWt4Gaz5U1cFzPF7Ay4ZavqSlzQ8TkvrMBUl9VXU0cDTAqlWraszlSMvaRFxwUpL6vBaMpD5zQZKkxcvmgyRJkqSJ007zPh24b5Irkrxo3DVJmtlgp11IkiRJ0lDmOs1b0uLikQ+SFh33ZEjqMxckSZpsHvkgadFxT4akPnNBkqTJ5pEPkiRJkiRpUDYfJEmSJEnSoGw+SJIkSZKkQdl8kCRJkiRJg7L5IEmSJEmSBmXzQZIkSZIkDcrmgyRJkiRJGpTNB0mSJEmSNCibD5IkSZIkaVCDNh+SPCnJJUkuTfLaaR4/JMnVSda2n/81ZD2SJEmSJGnhbTnUjJNsAbwHeDxwBXB2ktVVdXFv6Ceq6rCh6pAkSZIkSeM15JEP+wKXVtVlVfUr4DjggAGXJ0mSJEmSFqEhmw87At8fuX9Fm9b3zCTrkhyfZOcB65EkSZIkSWMw7gtOfg5YWVUPAE4GPjTdoCSHJlmTZM3VV1+9oAVKkiRJkqTbZsjmw5XA6JEMO7VpN6uqH1XVL9vdDwL7TDejqjq6qlZV1aoVK1YMUqwkSZIkSRrGkM2Hs4HdktwjydbAc4DVowOS7DByd3/gmwPWI0mSJEmSxmCwb7uoqhuTHAacBGwBHFNVFyV5M7CmqlYDr0iyP3AjcC1wyFD1SJIkSZKk8Ris+QBQVScCJ/amHT5y+3XA64asQZIkSZIkjde4LzgpSZIkSZKWOJsPkiRJkiRpUDYfJEmSJEnSoGw+SJIkSZKkQdl8kCRJkiRJg7L5IEmSJEmSBmXzQZIkSZIkDcrmgyRJkiRJGpTNB0mSJEmSNCibD5IkSZIkaVA2HyRJkiRJ0qBsPkiSJEmSpEHZfJAkSZIkSYOy+SBJkiRJkgZl80GSJEmSJA1q0OZDkicluSTJpUleO83jt0/yifb4mUlWDlmPpMkxV35IWn7MBUl95oI0OQZrPiTZAngP8GRgd+DgJLv3hr0I+HFV3Rv4B+AtQ9UjaXLMMz8kLSPmgqQ+c0GaLEMe+bAvcGlVXVZVvwKOAw7ojTkA+FC7fTzw2CQZsCZJk2E++SFpeTEXJPWZC9IE2XLAee8IfH/k/hXAg2caU1U3JrkOuBtwzeigJIcCh7a765NcMkjFm257ejUPLW97wUIu7rZa8PXDERPXw1r419Ar5lxHuy5EHTOYMz/MhVszF+ZhsrLBXNiQubAJzIV5MBdmZS4MzlyYnbkwt4nJhSGbD5tNVR0NHD3uOmaSZE1VrRp3HYuV62durqONZy5MNtfP3FxHG89cmGyun7m5jjaeuTDZXD9zm6R1NORpF1cCO4/c36lNm3ZMki2BOwM/GrAmSZNhPvkhaXkxFyT1mQvSBBmy+XA2sFuSeyTZGngOsLo3ZjUwddzPgcCXq6oGrEnSZJhPfkhaXswFSX3mgjRBBjvtol3D4TDgJGAL4JiquijJm4E1VbUa+CfgI0kuBa6lC4xJtGgP5VokXD9zcx2NmCk/xlzWxvL/dHaun7m5jkaYC8uC62durqMR5sKy4PqZ28Sso3iggSRJkiRJGtKQp11IkiRJkiTZfJAkSZIkScOaiK/aHJck+wO7V9Xfb+TzvlFVDxuorEUhyU3ABSOTnlZVl88wdn1VbbcghS0ySe4GnNLu/hZwE3B1u79vVf1qLIVpk5kLs/M1Pzuzc2kyF2ZnLszOXFiazIWZ+Zqfn6WYnV7zQZtkY4JgOYfGqCRvAtZX1dtGpm1ZVTeOryppOL7mb83s1HJnLtyauaDlxtf8xlsq2blsT7tIsjLJt5Icm+TbST6a5HFJTkvynST7JjkkyZFt/LOSXJjk/CSntmn3S3JWkrVJ1iXZrU1f3/7dL8lXkxzflvXRJGmPPaVNOyfJu5J8flzrYnNIsl2SU5Kcm+SCJAdMM2aHJKe29XVhkke26U9Icnp77qeSLOmAaa+5o5KcCfyfJG9K8uqRxy9MsrLd/oOR19j7k2wxprKXBXNhGL7mZ2Z2Ln7mwjDMhZmZC4ufubB5+Zqfv0nPzmXbfGjuDbwd+J3281zgEcCrgdf3xh4OPLGq9gT2b9NeAryzqvYCVgFXTLOMBwKvBHYH7gk8PMk2wPuBJ1fVPsCKzflLLZBt2wt5bZLPAL8Anl5VewOPBt4+FZAjnguc1NbXnsDaJNsDbwQe1567BnjVwv0aY7MT8LCqmvF3TfK7wEHAw9s6uwl43gLVt5yZC8PwNd8xOyeTuTAMc6FjLkwmc2HT+Zq/bSY2O5f7NR++W1UXACS5CDilqirJBcDK3tjTgGOTfBL4dJt2OvCGJDsBn66q70yzjLOq6oq2jLVtvuuBy6rqu23Mx4FDN9+vtSCuby9kAJJsBfxdkkcBvwZ2BO4O/HDkOWcDx7Sxn62qtUl+jy5QT2sZszXdel3qPlVVN80x5rHAPsDZbd1sC1w1dGEyFwbia75jdk4mc2EY5kLHXJhM5sKm8zV/20xsdi735sMvR27/euT+r+mtm6p6SZIHA08FzkmyT1V9rB3y8lTgxCQvrqovz7KMm/rzXUKeR9d53aeqbkhyObDN6ICqOrWFylPpAvgdwI+Bk6vq4IUueMx+NnL7RjY8CmlqvQX4UFW9bsGqEpgLQ/E1Pz2zczKYC8MwF6ZnLkwGc2Hz8TW/cSY2O5f7aRfzluReVXVmVR1Od5XRnZPck67z+C7gX4AHzHN2lwD3nDofh+6QmEl3Z+CqFhiPBnbtD0iyK/DfVfUB4IPA3sAZdIeQ3buNuWOS+yxg3YvB5XTrgiR7A/do008BDkzym+2xu7Z1qEXCXNhkl+NrforZucSYC5vscsyFKebCEmMuzMnX/Ka7nAnKzqXaPRvCW9NdCCZ0/5nnA38J/GGSjNHblQAAIABJREFUG+gOC/q7+cyoqq5P8lLgi0l+RncY0aT7KPC5dqjZGuBb04zZD3hNW1/rgedX1dVJDgE+nuT2bdwbgW8PX/KicQLw/HbI3pm0372qLk7yRuBLSW4H3AC8DPjPsVWqPnNh0/iav4XZufSYC5vGXLiFubD0mAuz8zW/6SYqO/2qzTFJsl1VrU93Es57gO9U1T+Muy5J42MuSOozFyT1mQuaVJ52MT5/nO7CMRfRHWr0/jHXI2n8zAVJfeaCpD5zQRPJIx8kSZIkSdKgPPJBkiRJkiQNyuaDJEmSJEkalM0HSZIkSZI0KJsPAiDJTUnWJrkoyflJ/rx9Lct0Y387yfGbsIwntmWsTbI+ySXt9oeTHJLkyNv+m0gaSpLfSnJckv9Ick6SE+f7fdpJVia5cOgapUkz8v57YZLPJbnLJsxjryRPGaK+zV1Dkvu07PhOknOTfDLJ3TdzLU9LsvsmPO/uST7fPgddnOTEzVjTNzbXvKSFlGSnJP/Sttn/SPLOJFtv5mW8qm1z65KckmTX3uN3SnLF6N8KSS5Psv3I/f2SfH5z1qXNz+aDplxfVXtV1f2AxwNPBo7oD0qyZVX9V1UduLELqKqT2jL2ovsO3+e1+8+f7zySbLGxy5V027Wv8/oM8NWquldV7QO8Dpjzj4YkWw5dnzTBpt5/9wCupfse9o21F7DZmg+b+F47Zw1JtgH+FXhfVe1WVXsD7wVWbMLyZvM0YKOaDy2n3gycXFV7VtXuwGs34vmZaacNQFU9bGPqkRaD9t7/aeCzVbUbcB9gO+BvN/OizgNWVdUDgOOB/9N7/K+BUzfzMqc117as28YVq1upqquAQ4HD2gZ4SJLVSb4MnDK6BzPJGUnuN/XcJF9NsirJHZMck+SsJOclOWAei/7tJF9sndWbQ6cdJfH2JOcDDx3tdLZlfXVz/v6SpvVo4IaqOmpqQlWdD3w9yVvbXtsLkhwEN++B+FqS1cDFozNKcs+WCw9Ksm+S09v9byS5bxtzh7ZH9OIkn0lyZpJV7bEntOecm+RTSbZbsLUgDet0YEeAJPdq74nntG3pd9r0Z7Xt7fwkp7Y9kG8GDmpHUBw0y3a1wVGGbS//fu12/7328CRnt2Ud3f4ImXqff0t7f/92kkfOUMPv5ZajHc9L8hvAc4HTq+pzUzVU1Ver6sIk2yT555Yj5yV59Dxr/tu2Ls5Id+TCw4D9gbe2Zd9rlnV5bJKjkpxJ98fODsAVI7WtG1nua9r6WJfkr9q0lemO4vwwcCHw/yV568hzbq49yfqR6X/Zfs/zk/z9bP/f0pg9BvhFVf0zQFXdBPwZ8EdJXpruiIivts/uN++0TPIHLSPWJnl/WkNzum22zfcrVfXz9vQzgJ1G5rUP3Y6OL8236CR3TfLZtr2ekeQBbfqbkrx6ZNyFbTvub8s7t3yY+mzzZ5u09nQr7o3StKrqshYUv9km7Q08oKquTbJyZOgngGcDRyTZAdihqtYk+Tvgy1X1R+kOIT0ryb9V1c9mWexewAOBXwKXJHl3VX0fuCNwZlX9OUD7/CNpYe0BnDPN9GfQbbt7AtsDZyeZ2juxN7BHVX13KjfaH0HHAYdU1flJ7gQ8sqpuTPI44O+AZwIvBX5cVbsn2QNY256/PfBG4HFV9bMkfwm8iu4PH2litffcxwL/1CYdDbykqr6T5MF0Rwg8BjgceGJVXZnkLlX1qySH0+01PKzNa6btajb999qLq+rN7fZHgN8HppoGW1bVvulOsziiqh43TQ2fA15WVaelaxD+gplzBLojPqqq7t/+8P5S5j6t647AGVX1hnQ7Lf64qv4mXdPz81V1fKvllBnWJXR/5Dysqm5K8kTgE0kOA/4N+Oeq+q8kTwB2A/YFAqxO8ijge236C6rqjCQr6BpIr2nzPojeHuIkTwYOAB5cVT9Pctf20Ez/39I43Y/eNltVP03yPbq/I/el265/Tvf+/6/Az+he+w+vqhuSvBd4HvBhptlmgb/pLfNFwBcA0h2B8HbgD4DHTVPfV5Lc1G5vB3yr3f4r4LyqelqSx7Rl7zXH7zq6Le8D7NiOSCObcDqcpmfzQfN1clVdO830T9J1Io+ga0JMXQviCcD+I93FbYBdgG/OsoxTquo66D70ALsC3wduAk64zb+BpCE8Avh42xvy30n+HXgQ8FPgrKr67sjYFcC/AM+oqqmjIe4MfCjJbkABW43M950Aba/o1B7Ih9AdTn1aa0RuTfdhX5pU2yZZS3fEwzeBk9sf6w8DPjXScL99+/c04Ngkn6Q7HHo6M21Xs+m/1z46yV8AdwDuClzELc2HqeWeA6ycYX6nAe9I8lHg01V1xRw7Dx4BvBugqr6V5D/pDvGeza+AqXO8z6E7bXQDc6xLgE+1/KKqTkpyT+BJdKefntean09oP+e152xH94fK94D/rKoz2vOvTnJZkocA3wF+p62HUY+ja2r8vD3n2nnUKC1WJ1fVjwCSfJpuO74R2IeuGQGwLXBVGz/rNpvkD4BVwO+1SS8FTpwlPx5dVde05+4HTP3d8Qhaw7Wqvpzkbq0pO5ubt2XgMuCeSd5Nd6rYvI+60OxsPmha7c33Jm4Ji2mPWGh7Xn7UDmc6CHjJ1CyAZ1bVJRux2F+O3L6JW16fv5j6YNDcyC2nDG2zEfOXtOkuAjb2Wi/93LiO7sP6I7jlVIy/Br5SVU9vR0d8dY55hu7DzsEbWYu0WF1fVXsluQNwEt0RAMcCP2nXSNpAVb2k7Rl/KnBO20PXN9N2Nfr+CRu+h978Xpvu2gzvpTuS4ftJ3tQbO/V+Pfpe3a/z79te0KfQNQufSJcjvzfd+FnMVvMNVVVz1HI7ZliXzQY51Xa0fAz4WLqL1z2KLnf+d1W9f3RsW7f9nDuObmfMt4DPjNQ3m7lqlMblYnrv/e2P+F3ots3+67votpcPVdXrppnfjNtsO0rrDcDvVdVUxjwUeGSSl9I1/bZOsr6q5n09lp7Z8uTmbbmqfpxkT+CJdH/bPBv4o01cpkZ4zQfdSjts8CjgyHm+aX4C+AvgziPnR54EvDy5+RzRB27GEi+n66jC3IeRSto8vgzcPsmhUxNa0/EndOd5b9Gy41HAWTPM41fA04HnJ3lum3Zn4Mp2+5CRsafRvdmT7qr192/TzwAenuTe7bE7zuPQbGnRa3vCXwH8Od0hzN9N8iy4+QJoe7bb96qqM6vqcOBqYGfgf4DfGJndTNvV5cBeSW6XZGe6Q6anM/WB/Jq2V34+jccNamh1XlBVbwHOpjsK4GPAw5I8dWTco9rRBV+jOzSbtk3vAlyyETVPW0tV/ZQZ1mVfkse0JhDprlFxL7qG6Ul057hv1x7bMclvTjcPugvzHgAcTNeI6DsZeOHIcu66MTVKC+wU4A5Jng83nx72droG6c+Bx6e7vsK2dBd6Pa0958CpbaQ9vut0M5/S/k54P7B/u/YcAFX1vKrapapW0h3V8OF5Nh5G82Q/4Jq2nV1Od0ooSfYG7jFDPdsDt6uqE+hO9dx7HsvUPNh80JRt075qk+48xy/RnS81H8cDz6E7BWPKX9Md5rmuzfOvN2OtfwW8M8kauq6ppIG1RuTTgcel+6qti4D/TffHxDrgfLoGxV9U1Q9nmc/P6M4d/7Mk+9Nd5O1/JzmPDfdavhdY0U7B+hu6PabXVdXVdH9MfbydinE63R810sSrqvPotqeD6T44vyjdBSAvovuDFroLKV6Q7sLP36Db9r4C7N7exw9i5u3qNOC7dHsz3wWcO0MdPwE+QHfhtZPomgdz6dfwynQXa1sH3AB8oaqup9v+X57uAnUX0x1WfTXdNn+7JBfQ7dQ4pO39nFfNPccBr0l34cp7MfO67NsHWDOSLR+sqrOr6kt0WXd6q+94Nmz23Kyqfkx3+syuVXWrRmxVfRFY3ZazllsOE59vjdKCGXnvf1aS7wDfprt+y+vbkLPoTtdaB5xQVWvaaZVvpLtuyzq6htsOcyzqrXRHNnyqZcjq21j6m4B92vL/HnhBm34CcNf2Geaw9vtMZ0fgq20b/b903+6lzSDz27EtSdLCaXtXtqqqX7Q/Hv4NuG9V/WrMpUmStOwlOYSRi8xK8+E1HyRJi9Ed6K5ivRXd+aMvtfEgSZI0uTzyQZIkSZIkDcprPkiSJEmSpEHZfJAkSZIkSYOy+SBJkiRJkgY1cRec3H777WvlypXjLkNa8s4555xrqmrFuOuYD3NBWhjmgqQ+c0FS30y5MHHNh5UrV7JmzZpxlyEteUn+c9w1zJe5IC0Mc0FSn7kgqW+mXPC0C0mSJEmSNCibD5IkSZIkaVA2HyRJkiRJ0qBsPkiSJEmSpEHZfJAkSZIkSYOy+SBJkiRJkgY1cV+1OZt9XvPhcZewYM556/PHXYI0kZZTTiw0c0mTylwYjrkgaaF87833H3cJS9ouh19wm+cxWPMhyTbAqcDt23KOr6ojemMOAd4KXNkmHVlVHxyqJknjZS5I6jMXJPUthlywKTksG5PL05BHPvwSeExVrU+yFfD1JF+oqjN64z5RVYcNWIekxcNckNRnLkjqMxekJWiw5kNVFbC+3d2q/dRQy5O0+JkLkvrMBUl95oK0NA16wckkWyRZC1wFnFxVZ04z7JlJ1iU5PsnOQ9YjafzMBUl95oKkPnNBWnoGbT5U1U1VtRewE7Bvkj16Qz4HrKyqBwAnAx+abj5JDk2yJsmaq6++esiSJQ3MXJDUZy5I6jMXpKVnQb5qs6p+AnwFeFJv+o+q6pft7geBfWZ4/tFVtaqqVq1YsWLYYiUtCHNBUp+5IKnPXJCWjsGaD0lWJLlLu70t8HjgW70xO4zc3R/45lD1SBo/c0FSn7kgqc9ckJamIb/tYgfgQ0m2oGtyfLKqPp/kzcCaqloNvCLJ/sCNwLXAIQPWI2n8zAVJfeaCpD5zQVqChvy2i3XAA6eZfvjI7dcBrxuqBkmLi7kgqc9ckNRnLkhL04Jc80GSJEmSJC1fNh8kSZIkSdKgbD5IkiRJkqRB2XyQJEmSJEmDsvkgSZIkSZIGZfNBkiRJkiQNyuaDJEmSJEkalM0HSZIkSZI0KJsPkiRJkiRpUDYfJEmSJEnSoGw+SJIkSZKkQdl8kCRJkiRJg7L5IEmSJEmSBmXzQZIkSZIkDWqw5kOSbZKcleT8JBcl+atpxtw+ySeSXJrkzCQrh6pH0viZC5L6zAVJkpaHIY98+CXwmKraE9gLeFKSh/TGvAj4cVXdG/gH4C0D1iNp/MwFSX3mgqQN2JSUlqYth5pxVRWwvt3dqv1Ub9gBwJva7eOBI5OkPVfSEmMuaFN87833H3cJS9ouh18w1uWbC5KmMdWUXJ9kK+DrSb5QVWeMjLm5KZnkOXRNyYPGUayk+Rms+QCQZAvgHODewHuq6szekB2B7wNU1Y1JrgPuBlwzZF2SxsdckNRnLmhj2ZQclk1JSUMYtPlQVTcBeyW5C/CZJHtU1YUbO58khwKHAuyyyy6bucrlZbm8WY/7TVMzMxck9ZkLkvo2V1PSXJAWjwX5touq+gnwFeBJvYeuBHYGSLIlcGfgR9M8/+iqWlVVq1asWDF0uZIWgLkgqc9ckDSlqm6qqr2AnYB9k+yxifMxF6RFYshvu1jR9mCQZFvg8cC3esNWAy9otw8EvuyhUtLSZS5I6jMXJM3mtjYlJS0eQ552sQPwoXbI1O2AT1bV55O8GVhTVauBfwI+kuRS4FrgOQPWI2n8zAVJfeaCpA0kWQHcUFU/GWlK9r/lZqopeTo2JaWJMOS3XawDHjjN9MNHbv8CeNZQNUhaXMwFSX3mgqRp2JSUlqBBLzgpSZIkSRvDpqS0NC3IBSclSZIkSdLyZfNBkiRJkiQNyuaDJEmSJEkalM0HSZIkSZI0KJsPkiRJkiRpUDYfJEmSJEnSoPyqTann4e9++LhLWBCnvfy0cZcgSZIkaZnwyAdJkiRJkjQomw+SJEmSJGlQNh8kSZIkSdKgbD5IkiRJkqRB2XyQJEmSJEmDsvkgSZIkSZIGZfNBkiRJkiQNarDmQ5Kdk3wlycVJLkryp9OM2S/JdUnWtp/Dh6pH0viZC5L6zAVJfeaCtDRtOeC8bwT+vKrOTfIbwDlJTq6qi3vjvlZVvz9gHZIWD3NBUp+5IKnPXJCWoMGOfKiqH1TVue32/wDfBHYcanmSFj9zQVKfuSCpz1yQlqYFueZDkpXAA4Ezp3n4oUnOT/KFJPdbiHokjZ+5IKnPXJDUZy5IS8eQp10AkGQ74ATglVX1097D5wK7VtX6JE8BPgvsNs08DgUOBdhll10GrljS0MwFSX3mgqQ+c0FaWgY98iHJVnSB8dGq+nT/8ar6aVWtb7dPBLZKsv00446uqlVVtWrFihVDlixpYOaCpD5zQVKfuSAtPUN+20WAfwK+WVXvmGHMb7VxJNm31fOjoWqSNF7mgqQ+c0FSn7kgLU1DnnbxcOAPgQuSrG3TXg/sAlBVRwEHAn+S5EbgeuA5VVUD1iRpvMwFSX3mgqQ+c0FaggZrPlTV14HMMeZI4MihapC0uJgLkvrMBUl95oK0NC3It11IkiRJkqTly+aDJEmSJEkalM0HSZIkSZI0KJsPkiRJkiRpUDYfJEmSJEnSoGw+SJIkSZKkQdl8kCRJkiRJg7L5IEmSJEmSBmXzQZIkSZIkDcrmgyRJkiRJGpTNB0mSJEmSNCibD5IkSZIkaVA2HyRJkiRJ0qA2uvmQ5HZJ7jREMZImk7kgqc9ckNRnLkjL27yaD0k+luROSe4IXAhcnOQ1czxn5yRfSXJxkouS/Ok0Y5LkXUkuTbIuyd6b9mtIWmjmgqQ+c0FS36bkgqSlab5HPuxeVT8FngZ8AbgH8IdzPOdG4M+ranfgIcDLkuzeG/NkYLf2cyjwvvkWLmnszAVJfeaCpL6NzgWbktLSNN/mw1ZJtqILjdVVdQNQsz2hqn5QVee22/8DfBPYsTfsAODD1TkDuEuSHTbqN5A0LuaCpD5zQVLfRucCNiWlJWm+zYejgMuBOwKnJtkV+Ol8F5JkJfBA4MzeQzsC3x+5fwW3/sAhaXEyFyT1mQuS+jY6F2xKSkvTlnMNSHI74L+raseRad8DHj2fBSTZDjgBeGU75GqjJTmUrqPJLrvssimzkLQZmQuS+swFSX23NRfa+JVsXFPyB73nmwvSIjHnkQ9V9WvgL3rTqqpunOu57RCrE4CPVtWnpxlyJbDzyP2d2rR+DUdX1aqqWrVixYq5FitpYOaCpD5zQVLfbckF2DxNSXNBWjzme9rFvyV5dbv4y12nfmZ7QpIA/wR8s6reMcOw1cDz2wVjHgJcV1U/mGGspMXFXJDUZy5I6tvoXIDN15SUtHjMedpFc1D792Uj0wq45yzPeTjdlWwvSLK2TXs9sAtAVR0FnAg8BbgU+DnwwnnWI2n8zAVJfeaCpL6NzoWNaEoeluQ44MHYlJQWvXk1H6rqHhs746r6OpA5xhQbBpGkCWEuSOozFyT1bUouYFNSWpLme+QDSfYAdge2mZpWVR8eoihJk8FckNRnLkjq29hcsCkpLU3zaj4kOQLYjy40TqT7Xt2vA36YkJYpc0FSn7kgqc9ckDRlvhecPBB4LPDDqnohsCdw58GqkjQJzAVJfeaCpD5zQRIw/+bD9e2rcm5McifgKja8uqyk5cdckNRnLkjqMxckAfO/5sOaJHcBPgCcA6wHTh+sKkmTwFyQ1GcuSOozFyQB8/+2i5e2m0cl+SJwp6paN1xZkhY7c0FSn7kgqc9ckDRlXqddJDll6nZVXV5V60anSVp+zAVJfeaCpD5zQdKUWY98SLINcAdg+yT/D7d85c2dgB0Hrk3SImQuSOozFyT1mQuS+uY67eLFwCuB36Y7RytAAf8DvHvY0iQtUuaCpD5zQVKfuSBpA7OedlFV76yqewB/C+zVbv8zcBleKEZalswFSX3mgqQ+c0FS33y/avPAqvppkkcAjwE+CLxvuLIkTQBzQVKfuSCpz1yQBMy/+XBT+/epwAeq6l+BrYcpSdKEMBck9ZkLkvrMBUnA/JsPVyZ5P3AQcGKS22/EcyUtTeaCpD5zQVKfuSAJmP+G/2zgJOCJVfUT4K7AawarStIkMBck9ZkLkvrMBUnA3N92AUBV/Rz49Mj9HwA/GKooSYufuSCpz1yQ1GcuSJoy2CFPSY5JclWSC2d4fL8k1yVZ234OH6oWSYuDuSCpz1yQ1GcuSEvTvI582ETHAkcCH55lzNeq6vcHrEHS4nIs5oKkDR2LuSBpQ8diLkhLzmBHPlTVqcC1Q81f0uQxFyT1mQuS+swFaWka95VmH5rk/CRfSHK/MdciaXEwFyT1mQuS+swFacIMedrFXM4Fdq2q9UmeAnwW2G26gUkOBQ4F2GWXXRauQkkLzVyQ1GcuSOozF6QJNLYjH6rqp1W1vt0+EdgqyfYzjD26qlZV1aoVK1YsaJ2SFo65IKnPXJDUZy5Ik2lszYckv5Uk7fa+rZYfjaseSeNnLkjqMxck9ZkL0mQa7LSLJB8H9gO2T3IFcASwFUBVHQUcCPxJkhuB64HnVFUNVY+k8TMXJPWZC5L6zAVpaRqs+VBVB8/x+JF0X6EjaZkwFyT1mQuS+swFaWka97ddSJIkSZKkJc7mgyRJkiRJGpTNB0mSJEmSNCibD5IkSZIkaVA2HyRJkiRJ0qBsPkiSJEmSpEHZfJAkSZIkSYOy+SBJkiRJkgZl80GSJEmSJA3K5oMkSZIkSRqUzQdJkiRJkjQomw+SJEmSJGlQNh8kSZIkSdKgbD5IkiRJkqRBDdZ8SHJMkquSXDjD40nyriSXJlmXZO+hapG0OJgLkvrMBUmSlochj3w4FnjSLI8/Gdit/RwKvG/AWiQtDsdiLkja0LGYC5J6bExKS89gzYeqOhW4dpYhBwAfrs4ZwF2S7DBUPZLGz1yQ1GcuSJrBsdiYlJaUcV7zYUfg+yP3r2jTJC1f5oKkPnNBWoZsTEpLz0RccDLJoUnWJFlz9dVXj7scSYuAuSCpz1yQlpV5NSbNBWnxGGfz4Upg55H7O7Vpt1JVR1fVqqpatWLFigUpTtJYmAuS+swFSZvMXJAWj3E2H1YDz28Xi3kIcF1V/WCM9UgaP3NBUp+5IGk6825MSlocthxqxkk+DuwHbJ/kCuAIYCuAqjoKOBF4CnAp8HPghUPVImlxMBck9ZkLkjbRauCwJMcBD8bGpLToDdZ8qKqD53i8gJcNtXxJi4+5IKnPXJA0HRuT0tIzWPNBkiRJkjaFjUlp6ZmIb7uQJEmSJEmTy+aDJEmSJEkalM0HSZIkSZI0KJsPkiRJkiRpUDYfJEmSJEnSoGw+SJIkSZKkQdl8kCRJkiRJg7L5IEmSJEmSBmXzQZIkSZIkDcrmgyRJkiRJGpTNB0mSJEmSNCibD5IkSZIkaVA2HyRJkiRJ0qBsPkiSJEmSpEEN2nxI8qQklyS5NMlrp3n8kCRXJ1nbfv7XkPVIGj9zQVKfuSCpz1yQlp4th5pxki2A9wCPB64Azk6yuqou7g39RFUdNlQdkhYPc0FSn7kgqc9ckJamIY982Be4tKouq6pfAccBBwy4PEmLn7kgqc9ckNRnLkhL0JDNhx2B74/cv6JN63tmknVJjk+y84D1SBo/c0FSn7kgqc9ckJagcV9w8nPAyqp6AHAy8KHpBiU5NMmaJGuuvvrqBS1Q0oIzFyT1mQuS+swFacIM2Xy4EhjtQO7Upt2sqn5UVb9sdz8I7DPdjKrq6KpaVVWrVqxYMUixkhaEuSCpz1yQ1GcuSEvQkM2Hs4HdktwjydbAc4DVowOS7DByd3/gmwPWI2n8zAVJfeaCpD5zQVqCBvu2i6q6MclhwEnAFsAxVXVRkjcDa6pqNfCKJPsDNwLXAocMVY+k8TMXJPWZC5L6zAVpaRqs+QBQVScCJ/amHT5y+3XA64asQdLiYi5I6jMXJPWZC9LSM+4LTkqSJEmSpCXO5oMkSZIkSRqUzQdJkiRJkjQomw+SJEmSJGlQNh8kSZIkSdKgbD5IkiRJkqRB2XyQJEmSJEmDsvkgSZIkSZIGZfNBkiRJkiQNyuaDJEmSJEkalM0HSZIkSZI0KJsPkiRJkiRpUDYfJEmSJEnSoGw+SJIkSZKkQQ3afEjypCSXJLk0yWunefz2ST7RHj8zycoh65E0fuaCpD5zQVKfuSAtPYM1H5JsAbwHeDKwO3Bwkt17w14E/Liq7g38A/CWoeqRNH7mgqQ+c0FSn7kgLU1DHvmwL3BpVV1WVb8CjgMO6I05APhQu3088NgkGbAmSeNlLkjqMxck9ZkL0hI0ZPNhR+D7I/evaNOmHVNVNwLXAXcbsCZJ42UuSOozFyT1mQvSErTluAuYjySHAoe2u+uTXDLOeqaxPXDNQi4wb3vBQi7utlrw9cMRE9f4XvjX0CvmXEe7LkQdm2oCcmFzWfjtZxNNWC4NaWL+z4CNzUtzYXGYmNeYuXCzifk/A8yFyTRRrzGzAZiw/7PNkQtDNh+uBHYeub9TmzbdmCuSbAncGfhRf0ZVdTRw9EB13mZJ1lTVqnHXsVi5fua2jNbRssmFzWUZvTaWDP/PNpq5sJF8jU0e/882mrmwkXyNTZ7l+H825GkXZwO7JblHkq2B5wCre2NWA1NtrwOBL1dVDViTpPEyFyT1mQuS+swFaQka7MiHqroxyWHAScAWwDFVdVGSNwNrqmo18E/AR5JcClxLFyySlihzQVKfuSCpz1yQlqbYILztkhzaDunSNFw/c3MdaSa+NiaP/2camq+xyeP/mYbma2zyLMf/M5sPkiRJkiRpUENe80GSJEmSJMnmw2yS7J/ktZvwvG8MUc9ikuSmJGtHflbOMnb9wlW2uCS528g6+mGSK0fubz3u+rR4JXlSkkuSXLopOaSFl+SYJFcluXDctWhpMhcmj7mgoZkLk2c554KnXWgDK1PSAAAgAElEQVSTJFlfVdtt7rFLWZI3Aeur6m0j07asqhvHV5UWoyRbAN8GHg9cQXfV74Or6uKxFqZZJXkUsB74cFXtMe56tLSYC5PJXNCQzIXJtJxzYdke+ZBkZZJvJTk2ybeTfDTJ45KcluQ7SfZNckiSI9v4ZyW5MMn5SU5t0+6X5Ky2F3tdkt3a9PXt3/2SfDXJ8W1ZH02S9thT2rRzkrwryefHtS42hyTbJTklyblJLkhywDRjdkhyaltfFyZ5ZJv+hCSnt+d+KsmSblS019xRSc4E/k+SNyV59cjjF04dSZLkD0ZeY+9vbzJa+vYFLq2qy6rqV8BxwK22KS0uVXUq3RXXpSGYCxPIXNDAzIUJtJxzYdk2H5p7A28Hfqf9PBd4BPBq4PW9sYcDT6yqPYH927SXAO+sqr2AVXQdx74HAq8EdgfuCTw8yTbA+4EnV9U+wIrN+UstkG1HTh/4DPAL4OlVtTfwaODtU42WEc8FTmrra09gbZLtgTcCj2vPXQO8auF+jbHZCXhYVc34uyb5XeAg4OFtnd0EPG+B6tN47Qh8f+T+FW2apOXLXJDUZy5oomw57gLG7LtVdQFAkouAU6qqklwArOyNPQ04NskngU+3aacDb0iyE/DpqvrONMs4q6quaMtY2+a7Hrisqr7bxnwcOHTz/VoL4vr2BzEASbYC/q4dRvRruuC7O/DDkeecDRzTxn62qtYm+T26xsxprVexNd16Xeo+VVU3zTHmscA+wNlt3WwLXDV0YZIkSZK0uS335sMvR27/euT+r+mtm6p6SZIHA08FzkmyT1V9rB06/1TgxCQvrqovz7KMm/rzXUKeR3cExz5VdUOSy4FtRgdU1amtOfFUukbOO4AfAydX1cELXfCY/Wzk9o1seBTS1HoL8KGqet2CVaXF4kpg55H7O7VpkpYvc0FSn7mgibLcT7uYtyT3qqozq+pw4Gpg5yT3pDuC4V3AvwAPmOfsLgHumVu+IeKgzV3vGNwZuKo1Hh4N7NofkGRX4L+r6gPAB4G9gTPoTkW5dxtzxyT3WcC6F4PL6dYFSfYG7tGmnwIcmOQ322N3betQS9/ZwG5J7pHuW1GeA6wec02SxstckNRnLmii2HyYv7e2CyleCHwDOB94NnBhO51iD+DD85lRVV0PvBT4YpJzgP8Brhum7AXzUWBVO2Xl+cC3phmzH3B+kvPoGi7vrKqrgUOAjydZR3fKxe8sSMWLxwnAXdupP4fRXbWYdqXiNwJfauvmZGCHsVWpBdO+AeUw4CTgm8Anq+qi8ValuST5OF2G3TfJFUleNO6atHSYC5PJXNCQzIXJtJxzwa/aHJMk21XV+nZRxvcA36mqfxh3XZIkSZIkbW4e+TA+f9yOmLiI7pSF94+5HkmSJEmSBuGRD5IkSZIkaVAe+SBJkiRJkgZl80GSJEmSJA3K5oMkSZIkSRqUzYcJluRpSSrJgnw1ZZLXz2PMV5OsWoh6JEmSJEmTwebDZDsY+Hr7dyHM2XwYWpItxl2DNG5DNx6TfDbJGb1pb0ry6nb72CQHDrHsaWpZP8tjeyU5PclFSdYlOWjkscOSXNrW0/bzWM7KJBdurrqlhWQmzP95buvSxutnzG3ZjpJcPp/35ZHxhyQ5cpbH35Tk50l+c2TaJuWEhmfzYUIl2Q54BPAi4Dlt2hZJ3pbkwvZB/OVt+oOSfCPJ+UnOSvIbbexbk5zdxr64jd0vyalJ/jXJJUmOSnK7JH8PbJtkbZKPJrljG3N+W95B09S4PsnftjFnJLl7m/6s9pzzk5zapm0QLEk+n2S/kfm8Pcn5wEOTHN7qvjDJ0UnSxn01yVva7/jtJI+cY73sk+Tfk5yT5KQkOwzzvyVtdoM1HpPcBdgHuHOSe27u+W9mPweeX1X3A54E/GOrH+A04HHAf46rOGkBmQmShrTQOzw31jXAn4+7CM3N5sPkOgD4YlV9G/hRkn2AQ4GVwF5V9QDgo0m2Bj4B/GlV7Un3Yfx6uqbFdVX1IOBBwB8nuUeb977Ay4HdgXsBz6iq1wLXV9VeVfU8ug/6/1VVe1bVHsAXp6nxjsAZbbmnAn/cph8OPLFN338ev+sdgTPbsr4OHFlVD2rL3Rb4/ZGxW1bVvsArgSPatOnWy1bAu4EDq2of4Bjgb+dRizRWMzQeb5fkvUm+leTkJCdO7YWcqcmW5BVJLm4NueNGFvEM4HPAcVPzn6OexyY5L8kFSY5JcvvW8Px0e/yAJNcn2TrJNkkua9PvleSLra6vjexNuUe6oxkuSPI3sy27qr5dVd9pt/8LuApY0e6fV1WXT1Pvm5J8pC3jO0n+eJox0zZDWyPz2NbIvCDJn821fqShmQkbroskpyQ5t40/YI7xK9uyzm0/Dxtg/UkTbbqM6T0+006+W2XByNNePrKdTm3rd013lNW6dDstH7ARZR4DHJTkrtPU96pW24VJXtmmrUzyzSQfSHf05JeSbNsemzaLtHnYfJhcB9N9EKD9ezBdY+H9VXUjQFVdC9wX+EFVnd2m/bQ9/gTg+UnWAmcCdwN2a/M7q6ouq6qbgI/TBU7fBcDj0x1p8Miqum6aMb8CPt9un0PXAIBuj+Sx7UP/fE6juAk4YeT+o5OcmeQC4DHA/UYe+/Q0y5tpvewBnNzWwRuBneZRizRu0zUen0H3et8d+EPgoQCZvcn2WuCBrSH3kpH5H0y33X+cOfZwJNkGOBY4qKruD2wJ/AlwHrBXG/ZI4EK6JueD6fIG4Gjg5a2uVwPvbdPfCbyvze8H810pSfYFtgb+Yx7DH0CXHQ8FDk/y2/NczF7AjlW1R6vvn+dbnzQgM+EWvwCeXlV7A48G3p50R0fO4Crg8W38QcC72vTNuf6kSTddxoyabiffTFkw5Zq23b2PbnsH+CvgvDaP1wMf3oga19Ntj386OrHV+kK6rHkI3c7WB7aHdwPe046e/AnwzDZ9pizSZrDluAvQxmtdvccA909SdH/AF3D2xsyGbsM6qTfv/dq8RvXvU1XfTrI38BTgb5KcUlVv7g27oaqmnnsT7fVWVS9J8mDgqcA5LRhuZMNm2DYjt3/RGiFTH2zeC6yqqu8neVNv7C/7y5tBgIuq6qGzjJEWo4PpPozDLY3HLYFPVdWvgR8m+Up7fLTJBl1WTH14X0f3AeGzwGcB0p0atRvw9aqqJDck2aOqZjqv877Ad9sHEoAPAS+rqn9M8h9JfpfuSKp3AI9qy/9a24vyMOBTI38XTO0ReTi3fAD4CPCWuVZI2/P4EeAFbR3M5V+q6nrg+rau9gXWzuN5lwH3TPJu4F+BL83jOdLQzIRbBPi7JI8Cfg3sCNwd+OEM47cCjkyyF93nhvu06Y9gM6w/aYmYLmNGr8HwOOCo0Z18SfZkmiwA/rHdH91Z+Ix2+xG0bb2qvpzkbknutBF1vgtYm+RtI9MeAXymqn4GkO4IrEcCq1t9U+/95wAr58gibQY2HybTgcBHqurFUxOS/DtwPvDiJF+pqhtbk+ISYIckD6qqs5P8Bt1pFycBf5Lky1V1Q5L7AFe22e2b7hSM/6TbE3B0m35Dkq3a+N8Grq2q/5vkJ8D/mm/xSe5VVWcCZyZ5MrAzcDnw0iS3o/uwsO8MT59qNFzTAuJA4Pg5FnnyDOtlRZKHVtXpbW/Gfarqovn+HtJCm6Xx+JmZnsLMTban0n34/3+BNyS5P/Bs4P8BvtvedO9E9yHjDZtQ7qnAk4EbgH+j2wOyBfAaukbjT6pqrxmee6uG50zaB5N/Bd5QVWfMNX6G+ffvT9sMraoftw9UT6Tbs/ls4I/mW6u0uZkJt/I8ulOv9mmfVS5nwx0UfX8G/DewZ6vhF3PMf6PW39QfY9KkmiVj3nMbZz3fnYXzVlU/SfIxuibHxtQwVce2zJ1Fuo087WIyHcytP1icAOwAfA9Yl+7ijM+tql/RNRDe3aadTPdG/EHgYuDcdFerfT+3bPxn03U0vwl8d2RZR7d5fxS4P3BWO2XhCGDW8zB73pruHK8LgW/QNU1Oa8u6mK5zee50T6yqnwAfoDtk8yTmd7THB5l+vRwIvKVNW0vX6ZQWs6nG465VtbKqdqbbbq4FnpnuPOW7A/u18Tc32aA7ZDjJ/VqTb+eq+grwl8Cdge3osuVJbd4r6S4yN9s53pfQ7Sm4d7v/h8C/t9tfo7v2yulVdTXdqV33BS6sqp/S/THzrFZX2h/10GXB1DKfN9vKSHdNm88AH66quZqQow5Id6753ejWVT9HLgf2autzZ1ozNN3VuW9XVSfQnaq190YsUxqCmbChOwNXtcbDo4Fd5zH+B+0Ihz/kllNBT2PzrD9p0s2UMTuPjJnaybcl3NywmC0LZvI12jbejsS+pmXDxngH8GJu+Zvma8DTktwhyR2Bp7dp05oji7QZeOTDBKqqR08z7V0jd1/Ve+xsuvOc+l5P7+sz256Nn1bV7/cHV9Vf0r2pTjlpmjH7jdzebuT28bQjFKrqGf3nNdN+qBidT7v/RroP/rMt+xraNR/anodXcev1spZuL4U0KQ7m1occnwD8LnAFXfPu+3TNu+uq6lfpLpL2riR3psv8fwS+DfzfNi10Db+70H1Qv/nogar6bpLr0p0mdStV9YskL6Q7PHFLuj/ij2oPn0l3uPOp7f464LdGTsV6HvC+JG+kO/T5OLpG5J8CH0vyl8C/zLE+nk23Dd8tySFt2iFVtTbJK4C/AH6LrvF4YlVNHaG1DvgKsD3w11X1X0lWjsx3tBn6TW5phu4I/HP7QwPgdXPUJw3NTNjQR4HPpbsm1BrgW3OMfy9wQpLn0104+2dt+gnAY7kN66/tLJEm3UwZM/r+90G6U5bWJbkB+EBVHTlLFszkTcAxSdbRfZvVCza22Kq6Jsln6I5qoqrOTXIscNZUrVV1Xu89v2+mLNJmkFsyX7q50/jq6ZoPkhavJNtV1fq2N/8s4OFVNdN5zstWuuvErK+qt801VppkZsJt4/qTpM3PIx+0gar6KvDVMZchaeN9Psld6L7x4a/9kCwte2bCbeP6k6TNzCMfJEmLWrvw3Ud6k39ZVdMe+i1paTMTpOUnyRuAZ/Umf6qq/na68VqcbD5IkiRJkqRB+W0XkiRJkiZSki2SnJfk8+OuRdLsbD5IkiRJmlR/SvfNRJIWuYm74OT2229fK1euHHcZ0pJ3zjnnXFNVK/7/9u49TLK6vvP4+8NF8AaI9BoCjIORaNDIGHoRo0kQjQHjinnECElUjMmIdzdRgyYRJJtE10SNYsQRccAYQPGyo+KFBAloABkQBkbEECQCy2orCI4XdPC7f5zTUhR9nz5VXd3v1/PU06dO/erUt6q7vn1+3/M7vzPsOObCvCANhnlBUr9h5oUkewO/Dfw1fZdUn4p5QRqM6fLCyBUfVq9ezcaNG4cdhrTsJfmvYccwV+YFaTDMC5L6DTkvvB14LfDAuTQ2L0iDMV1e8LQLSZIkSSMlydOBb1XVZbO0W5tkY5KNExMTA4pO0lQsPkiSJEkaNU8AnpHkBuBM4NAk/9TfqKrWVdV4VY2PjY3EWWPSsmXxQZIkSdJIqarXVdXeVbUaOAo4r6r+YMhhSZqBxQdJkiRJktSpkZtwUpIkSZImVdX5wPlDDkPSLBz5IEmSJEmSOuXIBy0p3zjxl4cdwrK26g1XDTuEoTvwNacPO4Rl67K3PG/YIUgLYl7ojnlB0qDYj+jWYvQjHPkgSZKGJsnOSb6U5Mokm5O8cYo2xySZSHJFe/ujYcQqSZIWzuKDpIGxkyFpCncCh1bVAcAa4LAkB0/R7qyqWtPeThlsiJIkaVt52oWkQZrsZGxJsiPwhSSfrqqL+9qdVVUvG0J8kgasqgrY0t7dsb3V8CKSJEldsPggaWDsZEiaSpLtgcuAhwPvqqpLpmj2rCS/DnwN+J9VdeMU21kLrAVYtWpVhxFr2Dy3u1vOESWpCxYfJA3UYnUytHLYyejWUuhkVNVdwJokuwEfS/Loqrq6p8kngDOq6s4kLwJOAw6dYjvrgHUA4+PjFjYlSVpCnPNB0kBV1V1VtQbYGzgoyaP7mnwCWF1VjwHOpelk3EuStUk2Jtk4MTHRbdCSBqKqvgt8Hjisb/13qurO9u4pwIGDjk2SJG0biw+ShmJbOxlVta6qxqtqfGxsrNtgJXUmyVg74oEk9wV+E/hqX5s9e+4+A7hmcBFKkqTFYPFB0sDYyZA0hT2BzyfZBFwKnFtVn0xyYpJntG1e0V4h50rgFcAxQ4pVkiQtUGdzPiTZGbgA2Kl9nbOr6vi+NscAbwFubled5OWzpGVtT+C0dt6H7YAPTXYygI1VtYGmk/EMYCtwK3YypGWtqjYBj51i/Rt6ll8HvG6QcUmSpMXV5YSTQ7+k3oGvOb2LzQq47C3PG3YIGkF2MiRJkqSVqbPig5fUkyRJkiRJ0PGlNr2kniRJkqRR4wjqbjmKemXqdMJJL6knSZIkSZIGcrULL6knSZIkSdLK1VnxwUvqSZIkSZIk6HbOBy+pJ0mSJEmSOr3ahZfUkyRJkiRJg5nzQZIkSZIkrVwWHyRJkiRJUqcsPkiSJEmSpE5ZfJAkSZIkSZ2y+CBJkiRJkjpl8UGSJEmSJHXK4oMkSRqaJDsn+VKSK5NsTvLGKdrslOSsJNcluSTJ6sFHKkmStoXFB0mSNEx3AodW1QHAGuCwJAf3tXkhcFtVPRx4G/DmAccoSZK2kcUHSQPjEU5J/aqxpb27Y3urvmZHAKe1y2cDT06SAYUoSZIWgcUHSYPkEU5J95Jk+yRXAN8Czq2qS/qa7AXcCFBVW4HbgQcPNkpJkrQtLD5IGhiPcEqaSlXdVVVrgL2Bg5I8eiHbSbI2ycYkGycmJhY3SEmStE0sPkgaqMU6wmknQ1p+quq7wOeBw/oeuhnYByDJDsCuwHemeP66qhqvqvGxsbGuw5UkSfNg8UHSQC3WEU47GdLykGQsyW7t8n2B3wS+2tdsA/D8dvlI4Lyq6h81JUmSljCLD5KGYluPcEpaNvYEPp9kE3ApzYioTyY5Mckz2jbvAx6c5DrgT4DjhhSrJElaoB262nCSnYELgJ3a1zm7qo7va7MTcDpwIE3n4jlVdUNXMUkariRjwE+q6rs9Rzj7J5ScPMJ5ER7hlJa9qtoEPHaK9W/oWf4R8OxBxiVJkhZXlyMfnNVeUj+PcEqSJEkrUGcjH9ojlXOZ1f6Edvls4KQk8SintDx5hFOSJC2WuYy0lrR0dDrng7PaS5IkSerIXEZaS1oiOi0+OKu9JEmSpC5UY7aR1pKWiIFc7cJZ7SVJkiQttjmMtJa0RHRWfPC63ZIkSZK6NNtIa0/flpaOLkc+OKu9JEmSpM5NN9La07elpaPLq104q70kSZKkTiQZA35SVd/tGWn95iGHJWkanRUfJEmSJKlDewKnJdmeZkT3h6rqk0OOSdI0LD5IkiRJGjnTjbSWtDQN5GoXkiRJkiRp5bL4IEmSJEmSOmXxQZIkSZIkdcrigyRJkiRJ6pTFB0mSJEmS1CmLD5IkaWiS7JPk80m+kmRzkldO0eaQJLcnuaK9vWEYsUqSpIXzUpuSBibJPsDpwEOAAtZV1T/0tTkE+D/A19tVH62qEwcZp6SB2gr8aVVdnuSBwGVJzq2qr/S1u7Cqnj6E+CRJ0iKw+CBpkOxkSLqHqroFuKVd/l6Sa4C9gP68IEmSRpinXUgamKq6paoub5e/B0x2MiSJJKuBxwKXTPHw45NcmeTTSR41zfPXJtmYZOPExESHkUqSpPmy+CBpKLa1kyFpeUnyAOAjwKuq6o6+hy8HHlpVBwDvBD4+1Taqal1VjVfV+NjYWLcBS5KkebH4IGngFqOT4RFOaflIsiNNTvhgVX20//GquqOqtrTL5wA7JtljwGFKkqRt0FnxwdmrJU1lsToZHuGUlockAd4HXFNVb52mzc+17UhyEM3+y3cGF6UkSdpWXU446cRyku5hrp0M4JtVVXYypBXhCcBzgauSXNGuez2wCqCqTgaOBF6cZCvwQ+CoqqphBCtJkhams+KDs1dLmoKdDEn3UFVfADJLm5OAkwYTkSRJ6sJALrU5l4nlgP8LvLqqNg8iJkmDZydDkiRJWpk6Lz7McWK5LUmeRjOx3H5TbGMtsBZg1apVHUcsSZIkSZIWU6dXu3BiOUmSJEmS1OXVLpy9WpIkSZIkdXrahRPLSZIkSZKkTq924cRykiRJkiSp2zkfJEmSJEmSLD5IkiRJkqROWXyQJEmSJEmdsvggSZIkSZI6ZfFBkiRJkiR1yuKDJEmSJEnqlMUHSZIkSZLUqXkXH5Jsl2SXLoKRNJrMC5L6mRckLYS5Q1q+5lR8SPLPSXZJcn/gauArSV7TbWiSljLzgqR+C8kLSfZJ8vkkX0myOckrp2iTJO9Icl2STUl+pav3IGnw3KeQVoa5jnzYv6ruAJ4JfBrYF3huZ1FJGgXzzgt2MqRlbyH7C1uBP62q/YGDgZcm2b+vzeHAfu1tLfDuRY1a0rDZ15BWgLkWH3ZMsiNNQthQVT8BqruwJI2AheQFOxnS8jbvvFBVt1TV5e3y94BrgL36mh0BnF6Ni4Hdkuy5+OFLGhL7GtIKMNfiw8nADcD9gQuSPBS4o6ugJI2EeecFOxnSsrdN+wtJVgOPBS7pe2gv4Mae+zdx79whaXTZ15BWgB1ma5BkO+CbVbVXz7pvAE/qMjBJS9di5IUFdDJuWWC4kgZgW/NCkgcAHwFe1Q6/XkgMa2lGTLFq1aqFbELSgNnXkFaOWUc+VNVPgdf2rauq2jrT8zy3W1q+FpoXJi1WJyPJxiQbJyYmFrIJSYtoW/JCO9z6I8AHq+qjUzS5Gdin5/7e7br+GNZV1XhVjY+Njc0rfknDsa37FJJGx1xPu/iXJK9uCwq7T95meY7ndkvL20Lygp0MaXmbd15IEuB9wDVV9dZpmm0AntcetDgYuL2qHA0lLR8L2qeQNFpmPe2i9Zz250t71hXwsOme0O4U3NIufy/J5LndX+lp9rNzu4GLk+yWZE93KKSRMO+8MI9OxsuSnAk8DjsZ0iiZd14AnkAzq/1VSa5o170eWAVQVScD5wBPA64DfgC8YBFjljR8C8kdJNkHOB14SNt+XVX9QycRStpmcyo+VNW+2/IintstLT8LzAt2MqRlbCF5oaq+AGSWNsU9OyWSlpFt6GtMjrS+PMkDgcuSnFtVX5ntiZIGb64jH0jyaGB/YOfJdVV1+hye5wRS0jI137xgJ0Na/ha6vyBpZVtI7pjjSGtJS8Scig9JjgcOoUkI59DM1fAFmmFOMz1v0c7tBtYBjI+Pe81faQlYaF6QtHyZFyQtxGLkjulGWnsQU1o65jrh5JHAk4H/V1UvAA4Adp3pCU4gJS17884LkpY984Kkhdim3DHTSGsnqJaWjrmedvHDqvppkq1JdgG+xT1HLEzFc7ul5W0heUHS8mZekLQQC84dcxhpLWmJmGvxYWOS3YD3ApcBW4CLZnqC53ZLy96884KkZc+8IGkhFpQ75jjSWtISMderXbykXTw5yWeAXapqU3dhSVrqzAuS+pkXJC3ENuSOKUdaV9U5XcQpadvMac6HJP86uVxVN1TVpt51klYe84KkfuYFSQux0NxRVV+oqlTVY6pqTXuz8CAtUTOOfEiyM3A/YI8kD+Lu0yh2obmMjaQVxrwgqZ95QdJCmDuklWW20y5eBLwK+Hma868CFPA94J3dhiZpiTIvSOpnXpC0EOYOaQWZ8bSLqvqHqtoX+GtgTbv8fuB6nEBKWpHMC5L6mRckLYS5Q1pZ5jTnA3BkVd2R5InAocApwLu7C0vSCDAvSOpnXpC0EOYOaQWYa/HhrvbnbwPvrapPAffpJiRJI8K8IKmfeUHSQpg7pBVgrsWHm5O8B3gOcE6SnebxXEnLk3lBUj/zgqSFMHdIK8Bcv9S/C3wW+K2q+i6wO/CazqKSNArMC5L6mRckLYS5Q1oBZrvaBQBV9QPgoz33bwFu6SooSUufeUFSP/OCpIUwd0grg8OZJA1MklOTfCvJ1dM8fkiS25Nc0d7eMOgYJQ2WeUGSpJVhTiMfJGmRrAdOAk6foc2FVfX0wYQjaQlYj3lBkqRlz5EPkgamqi4Abh12HJKWDvOCJEkrQ2fFB4dRSlqgxye5Msmnkzxq2MFIWhLmlBeSrE2yMcnGiYmJQcYnSZJm0eXIh/XAYbO0ubCq1rS3EzuMRdJouBx4aFUdALwT+Ph0De1kSCvGnPNCVa2rqvGqGh8bGxtYgJIkaXadFR8cRilpvqrqjqra0i6fA+yYZI9p2trJkFaA+eQFSZK0dA17zgeHV0v6mSQ/lyTt8kE0Oeo7w41K0jCZFyRJWh6GebWLyWGUW5I8jWYY5X5TNUyyFlgLsGrVqsFFKGlRJTkDOATYI8lNwPHAjgBVdTJwJPDiJFuBHwJHVVUNKVxJA2BekCRpZRha8aGq7uhZPifJPybZo6q+PUXbdcA6gPHxcXc4pBFVVUfP8vhJNJfck7RCmBckSVoZhnbahcMoJUmSJElaGTob+eAwSkmSJEmSBB0WHxxGKUmSJEmSYPhXu5AkSZIkScucxQdJkiRJktQpiw+SJEmSJKlTFh8kSZIkSVKnLD5IkiRJkqROWXyQJEmSJEmdsvggSZIkSZI6ZfFBkiRJkiR1yuKDJEmSJEnqlMUHSZIkSZLUKYsPkiRJkiSpUxYfJEnS0CQ5Ncm3klw9zeNJ8o4k1yXZlORXBh2jJEnadhYfJA2MnQxJU1gPHDbD44cD+7W3tcC7BxCTJElaZBYfJA3SeuxkSOpRVRcAt87Q5Ajg9GpcDOyWZM/BRCdJkhZLZ8UHj3BK6mcnQ9IC7AXc2HP/pnadpBVutv6GpKWly5EP6/EIp6T5mXMnI8naJBuTbJyYmBhIcJKWNvOCtOKsZ+b+hqQlpLPig0c4JXWpqtZV1XhVjXU3KqsAABJ7SURBVI+NjQ07HEnduRnYp+f+3u26ezEvSCvLHPobkpaQYc754BFOSf3m3MmQtGJsAJ7Xnq55MHB7Vd0y7KAkSdL8jMSEkx7JkFYMOxnSCpPkDOAi4BFJbkrywiTHJjm2bXIOcD1wHfBe4CVDClXSCPIgprR07DDE1/YIp7TCtJ2MQ4A9ktwEHA/sCFBVJ9N0Mp5G08n4AfCC4UQqaVCq6uhZHi/gpQMKR9IyU1XrgHUA4+PjNeRwpBVtmMWHDcDLkpwJPA6PcErLnp0MSZIkaWXqrPjgEU5JkiRJXZmqv1FV7xtuVJKm01nxwSOckiRJkroyW39D0tIyEhNOSpIkSZKk0WXxQZIkSZIkdcrigyRJkiRJ6pTFB0mSJEmS1CmLD5IkSZIkqVMWHyRJkiRJUqcsPkiSJEmSpE5ZfJAkSZIkSZ2y+CBJkiRJkjpl8UGSJEmSJHXK4oMkSZIkSeqUxQdJkiRJktQpiw+SBirJYUmuTXJdkuOmePyYJBNJrmhvfzSMOCUNjnlBkqTlr9PigzsTknol2R54F3A4sD9wdJL9p2h6VlWtaW+nDDRISQNlXpAkaWXorPjgzoSkKRwEXFdV11fVj4EzgSOGHJOk4TIvSJK0AnQ58sGdCUn99gJu7Ll/U7uu37OSbEpydpJ9BhOapCFZtLyQZG2SjUk2TkxMdBGrJElaoC6LD3YyJC3EJ4DVVfUY4FzgtKka2cmQVpQ55YWqWldV41U1PjY2NtAAJUnSzIY94aSdDGlluRnoLTLu3a77mar6TlXd2d49BThwqg3ZyZCWjUXLC5IkaenqsvhgJ0NSv0uB/ZLsm+Q+wFHAht4GSfbsufsM4JoBxidp8MwLkiStADt0uO2f7UzQFB2OAn6vt0GSPavqlvauOxPSMldVW5O8DPgssD1walVtTnIisLGqNgCvSPIMYCtwK3DM0AKW1DnzgiRJK0NnxQd3JiRNparOAc7pW/eGnuXXAa8bdFyShse8IEnS8tflyAd3JiRJkiRJ0tAnnJQkSZIkScucxQdJkiRJktQpiw+SJEmSJKlTFh8kSZIkSVKnLD5IkiRJkqROWXyQJEmSJEmdsvggSZIkSZI6ZfFBkiRJkiR1yuKDJEmSJEnqlMUHSZIkSZLUKYsPkiRJkiSpUxYfJEmSJElSpyw+SJIkSZKkTnVafEhyWJJrk1yX5LgpHt8pyVnt45ckWd1lPJKGz7wgqZ95QdJCzZY/JC0dnRUfkmwPvAs4HNgfODrJ/n3NXgjcVlUPB94GvLmreCQNn3lBUj/zgqSFmmP+kLREdDny4SDguqq6vqp+DJwJHNHX5gjgtHb5bODJSdJhTJKGy7wgqZ95QdJCzSV/SFoiuiw+7AXc2HP/pnbdlG2qaitwO/DgDmOSNFzmBUn9zAuSFmou+UPSErHDsAOYiyRrgbXt3S1Jrh1mPB3aA/j2sIOYi/zd84cdwlIxMr8zAI6f14HCh3YVxmIwLyw95oWfGZnfGWBeGE0j8zdmXviZkfmdAeaF0TRSf2PmBmDEfmeLkRe6LD7cDOzTc3/vdt1UbW5KsgOwK/Cd/g1V1TpgXUdxLhlJNlbV+LDj0Nz5O5s388I8+Tc2evydzZt5YZ78Gxs9/s46M2v+MC9oqVqJv7MuT7u4FNgvyb5J7gMcBWzoa7MBmCx7HQmcV1XVYUyShsu8IKmfeUHSQs0lf0haIjob+VBVW5O8DPgssD1walVtTnIisLGqNgDvAz6Q5DrgVpqEIWmZMi9I6mdekLRQ0+WPIYclaRrxwMHSkWRtOzRMI8Lfmbrm39jo8Xemrvk3Nnr8nalr/o2NnpX4O7P4IEmSJEmSOtXlnA+SJEmSJEkWH5aCJIcluTbJdUmOG3Y8ml2SU5N8K8nVw45Fy5N5YfSYF9Q188LoMS+oa+aF0bOS84LFhyFLsj3wLuBwYH/g6CT7DzcqzcF64LBhB6HlybwwstZjXlBHzAsjaz3mBXXEvDCy1rNC84LFh+E7CLiuqq6vqh8DZwJHDDkmzaKqLqCZcV3qgnlhBJkX1DHzwggyL6hj5oURtJLzgsWH4dsLuLHn/k3tOkkrl3lBUj/zgqR+5gWNFIsPkiRJkiSpUxYfhu9mYJ+e+3u36yStXOYFSf3MC5L6mRc0Uiw+DN+lwH5J9k1yH+AoYMOQY5I0XOYFSf3MC5L6mRc0Uiw+DFlVbQVeBnwWuAb4UFVtHm5Umk2SM4CLgEckuSnJC4cdk5YP88JoMi+oS+aF0WReUJfMC6NpJeeFVNWwY5AkSZIkScuYIx8kSZIkSVKnLD5IkiRJkqROWXyQJEmSJEmdsvggSZIkSZI6ZfFBkiRJkiR1yuKDJEmSJEnqlMWHJSDJM5NUkke291cnuXqB27ohyR7zaH9MkpNmeHx9kiMXEsswzPf9T/H8c5LstpgxScO2xHPMWJJLknw5ya/N0O6EJK9ul2fMS9uaB6TlKMldSa5IcmWSy5P8apI/TnJWT5tdkvxnkocleVSS85Jcm+Q/kvxlkrTtjkky0W5vc5Kzk9yvZzuvTvLV9vFLkzxvnrGen2R88d69NHr8zo6mUes7DZrFh6XhaOAL7c9lL40l+bdXVU+rqu8OOw5pkS3lHPNk4KqqemxVXTjsYJLsMOwYpI78sKrWVNUBwOuAvwVOAfZJ8pS2zYnAqcAtwAbgTVX1COAA4FeBl/Rs76x2e48Cfgw8ByDJscBvAgdV1Rqa73jmGmSS7bfhPUrLid/ZEeM+xOyWZAdwJUnyAOCJwAuBo6Z4fPskf5fk6iSbkry8Xf/k9kjhVUlOTbJTz9Ne3lZIr+o50rl7ko+327g4yWPmEeZTkmxM8rUkT++J6y1tdXRTkhf1xPyanvVvbNetbiuxpwNXA/tM83m8u32tzZPPbdffkOSNU7yvByf5XNv+FGZIlm1cr2iX35bkvHb50CQf7HmdPdp4r0ny3nbbn0ty37bNLyT5TJLLklw4GYu0FC3lHJNkDfC/gSPaoy33TbKl5/Ejk6xf4Ft/bRvfl5I8vN3e/8jdoyz+JclD2vUnJPlAki8CH1jg60mjZBfgtqoq4Fjg7e1RyycDbwF+D/hiVX0OoKp+ALwMOK5/Q+3O9v2B29pVrwdeXFV3tM+9o6pOa9tOmVfa/71vTnI58OyebW+X5iji/2rvf7z937s5ydqedi9s91G+1P7fPqldP5bkI+0+yaVJnjDdB9LmgVPTHMG9fnJ/oX3sT9oceXWSV83vo5YWhd/Ze76H7dKM7hjruX9d+/wpt5HkN9p9jSva9/TA6T7sJH/Wvucrk7ypXbem3b/ZlORjSR7Urj8/yduTbARe2bedv2o/j+0zfR/naWlGnVyW5B1JPtmuv3/7mX+pjfeI6eIdKVXlbYg34PeB97XL/w4cCKwGrm7XvRg4G9ihvb87sDNwI/CL7brTgVe1yzcAL2+XXwKc0i6/Ezi+XT4UuKJdPgY4aYb41gOfoSlU7Qfc1L7+WuAv2jY7ARuBfYGnAutoigDbAZ8Efr19Tz8FDp7l89i9/bk9cD7wmFne1zuAN7TLvw0UsMc02z4Y+HC7fCHwJWBH4HjgRT2vs0cb71ZgTbv+Q8AftMv/CuzXLj8OOG/Yf0fevE13G4Ecc4/HgS09y0cC69vlE4BXt8vrgSNn2OYNwJ+3y88DPtkuPwhIu/xHwN/3bPsy4L7D/n1589bVDbgLuAL4KnA7cGDPY3/frjukvf9W4JVTbOM2mk7QMcBEu71vtv9Tt+fuDtJUrz9bXnltT9vzaf5nnzH5XW7XT+4j3JfmQMaDgZ9vn787zf/0CydzCvDPwBPb5VXANTN8PifQ5MidaPYDvtNu70DgKprO2gOAzcBjh/379Lb8b35nZ/3OHt8Tz1OBj8y0DeATwBPa5QfQ7vdMsd3D21xwv773sAn4jXb5RODtPe/9H3uev55m/+UtwMncvd9xrz5Oz2e8b/vYGdy9z/I33N332A34GnD/Yf9dbuvNkQ/DdzRwZrt8JvceFv0U4D1VtRWgqm4FHgF8vaq+1rY5jaaDP+mj7c/LaDoZ0Bz5/EC7jfOAByfZZY4xfqiqflpV/wFcDzyS5kv+vCRXAJfQJJP92vVPBb4MXN623a/dzn9V1cWzvNbvtlXULwOPAvaf5X39OvBP7fv6FHdXcadyGXBg+77vBC4CxoFfo0l8/b5eVVf0vmaao8i/Cny4fe/vAfac5T1JwzQKOaYLZ/T8fHy7vDfw2SRXAa+hyTGTNlTVDwcYnzRok0O4HwkcBpyeZHK04LuAm6vq/Hls76xqhmj/HE3n/DWztJ8tr5zV1/49NEXSv+5Z94okVwIX04yg3A84CPi3qrq1qn4CfLin/VOAk9r/1xuAXdr/49P5VFXdWVXfBr4FPIQmt32sqr5fVVto8t+089NIi8jv7Mzf2VNpDjAA/CHw/lm28UXgre2opt0m93um8BTg/dWMHqGqbk2ya/ucf5vjZ/GXwK5VdWy11QOm7uM8Eri+qr7etjmjZxtPBY5r38f5NIWKVdPEPDI8L2WIkuxOc4Twl5MUTSWsaBLKtriz/XkXi/M7rinuh+bo52d7H0jyW8DfVtV7+tavBr4/04sk2Rd4NfDfq+q2NMOtd+5psk3vq6p+kuTrNNXff6epYD4JeDhwzRRPubNn+S6aqu12wHfb5C0taSOUY3r15pudp201v+1MLr8TeGtVbUhyCM2Rzkkz5idpOamqi9JMyjpG08n+aXub9BXuuWNNkofRjEy64+7+D1RVJfkEzT7Bm5JsSfKwqrp+nmH1fwf/HXhSkr+vqh+139mnAI+vqh8kOZ/Zc8R2NCMufzTHGPr/77ufrCXB7+y9VdWNSb6Z5FCagsbvz7KNNyX5FPA04ItJfquqvjrb68xR/2dxKc0Bz93b4sVsfZypBHhWVV27SDEuCY58GK4jgQ9U1UOranVV7QN8nXvOh3Au8KK0E5i0nYlraY7CP7xt81zg35jZhbRfyjYZfLvac7vm4NntuVS/ADysff3PAi9OsmO7zV9Mcv92/R9OVimT7JXkv83xdXah+fLenuZc7MPn8JwLaM5zI8nhNMOqZ3IhzZf/gnb5WODLPVXJGbWf2deTPLt9zSQ5YC7PlYZgVHJMr28m+aU0k9L+zgKeP+k5PT8vapd3BW5ul5+/DduWRlqauVq2pzm1YCofBJ6YdlK7NHMevYNmjpapPBH4z3b5b4F3TY58SvKANDPnzzevvA84B/hQm592pRke/oM2/oPbdpcCv5HkQW27Z/Vs43PAy3ve90IOHFwIPDPJ/dr9nN9h6tGSUmf8zk7rFJoR0B+uqrtm2kaSX6iqq6rqzW0M083Zdi7wgrRXA2kLCLcDt+Xuq3LN9ll8BngT8Kk0c0tM18e5FnhYe5AW7t53gaZP9fLJ0S5JHjvD640MK7rDdTTw5r51H6GZ0XbSKcAvApuS/AR4b1WdlOQFNEP/d6D5Ap08y2udAJyaZBPwA+a34/0NmvkRdgGObauZp9AMt768/VJMAM+sqs8l+SXgova7sgX4A5ojCDOqqiuTfJnm3LYbaYZHzeaNwBlJNtNUXL8xS/sLgT8HLqqq7yf5EfPfifh94N1J/oLmXLUzgSvnuQ1pEEYlx/Q6jmaumAmauWRmGiI9kwe1sdzJ3aeanEDznm4DzqOZp0ZaKe7bDt+F5oja83t21u+hqn6YZnKzdyZ5F02n5wNA72Vzn5PkiTQHsm6iGVUI8G6a7+2lbU75Cc38Kj+ab16pqremGe78gXb7xya5hmaH/eK2zc1J/oZmP+VW7j4/HuAVNJ2qTTT7vBfQHHSYs6q6vD1K+aV21SlV9eX5bENaIL+zs39nN9CcbvH+nnXTbeNVSZ5EM2JkM/Dpad7DZ9qCxcYkP6YpqLyeZr/m5LYocT3wglk+iw+3hYcNNKMt7tXHaX9vLwE+k+T7NJ/xpL8C3k6zf7YdzcGjp8/0mqNgcgIMSZIkaeQkeUBVbWk7SB8DTq2qjw07LklTW6zvbJorfrytqkZ2HpaezyI0p8X+R1W9bdhxdcXTLiRJkjTKTmiPEF9Nc3Tw40OOR9LMtvk7m+Q47j2acxT9cftZbKY5VeU9s7QfaY58EABJ/pye6/S2Ptw3Y+1ivt4lNJez6vXcqrpqEbb9YJrLYfZ7clVNd66cpA51kWOSfIx7nzrxZ/0T4UrSpHYY+Sv7Vn+xql46jHgkzayr72ySX6a9SlePO6vqcduyXc3M4oMkSZIkSeqUp11IkiRJkqROWXyQJEmSJEmdsvggSZIkSZI6ZfFBkiRJkiR1yuKDJEmSJEnq1P8Hp1p+UiIsUXkAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "count=0\n",
        "fig,axes=plt.subplots(4,4,figsize=(18,15))\n",
        "\n",
        "for i in column_names[32:]:\n",
        "  sns.barplot(x=i, y=\"stars\", data=df2, ci=None, ax=axes[count//4,count%4])\n",
        "  count+=1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 878
        },
        "id": "wksuwiuJv0TX",
        "outputId": "b5734f6e-1fcc-4215-ee5e-98f558fd5696"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x1080 with 16 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(18,6))\n",
        "\n",
        "\n",
        "sns.barplot(x=\"DietaryRestrictions\", y=\"stars\", data=df2, ci=None);\n",
        "\n",
        "plt.title(\"Average Star Rating per DietaryRestrictions\")\n",
        "plt.ylabel('Average Star Rating', fontsize=12)\n",
        "plt.xlabel('DietaryRestrictions ', fontsize=12)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 425
        },
        "id": "MQrc5TPPv0Vh",
        "outputId": "01e4fb81-2f42-415e-b51a-adbe89676d4e"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0, 'DietaryRestrictions ')"
            ]
          },
          "metadata": {},
          "execution_count": 95
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x432 with 1 Axes>"
            ],
            "image/png": 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BlgAsXrx4LkKTJA14xIcfMd8haAE6/eWnz3cI0oJ2yKu/PN8haAF62fueNN8hSPNirmoyPAJ4cpJLgM8Af5Lk6MmFqurwqtqzqvZctGjRHIUmSZIkSZL6MCdJhqp6Q1XtUFU7Ac8ETq6q587FsiVJkiRJ0tyY66dLSJIkSZKktdSc9MkwqKpOAU6Z6+VKkiRJkqTRsiaDJEmSJEnqhUkGSZIkSZLUC5MMkiRJkiSpFyYZJEmSJElSL0wySJIkSZKkXphkkCRJkiRJvZjzR1hKgp/9027zHYIWoMVv+cF8hyBJkiStEWsySJIkSZKkXphkkCRJkiRJvTDJIEmSJEmSemGSQZIkSZIk9cIkgyRJkiRJ6oVJBkmSJEmS1AuTDJIkSZIkqRcmGSRJkiRJUi9MMkiSJEmSpF6YZJAkSZIkSb0wySBJkiRJknphkkGSJEmSJPXCJIMkSZIkSeqFSQZJkiRJktQLkwySJEmSJKkXJhkkSZIkSVIvNpjvAEblQa/95HyHoAXo7Pc8f75DkCRJkqS1ljUZJEmSJElSL0wySJIkSZKkXphkkCRJkiRJvTDJIEmSJEmSemGSQZIkSZIk9cIkgyRJkiRJ6oVJBkmSJEmS1AuTDJIkSZIkqRcmGSRJkiRJUi9MMkiSJEmSpF6YZJAkSZIkSb0wySBJkiRJknphkkGSJEmSJPXCJIMkSZIkSeqFSQZJkiRJktQLkwySJEmSJKkXJhkkSZIkSVIvTDJIkiRJkqRemGSQJEmSJEm9MMkgSZIkSZJ6YZJBkiRJkiT1wiSDJEmSJEnqhUkGSZIkSZLUC5MMkiRJkiSpFyYZJEmSJElSL0wySJIkSZKkXmwwTKEk3wBqilE3A5cDX6iqL/cZmCRJkiRJGi/D1mQ4BdgJOBU4uvu7I3AWcDVwZJLXjSA+SZIkSZI0JoaqyQA8FnhcVV04MSDJp4CjqmqvJF8AjgH+ZQQxSpIkSZKkMTBsTYb7Aj+ZNOxS4D4AVfVtYNse45IkSZIkSWNm2CTDacAnktwrySZJ7gUcAXwTIMluwFUjilGSJEmSJI2BYZMML+jKXgDcAJwPrA/s343/HfCsvoOTJEmSJEnjY6g+GarqF8Azk6wHLAKurarbBsZfNKL4JEmSJEnSmBi240eSbEXrg2GL7jMAVXXySCKTJEmSJEljZagkQ5L9gUOB5cCNA6MK2Ln/sCRJkiRJ0rgZtibDwcDTquq/RhmMJEmSJEkaX8N2/LgBcNLqLqR7IsW3k5yb5Pwkb1vdeUmSJEmSpIVp2CTDPwNv6jp+XB03A39SVQ8Edgf2S/LQ1ZyXJEmSJElagIZtLvEq4K7A65L8fHBEVS2ebeKqKlp/DgAbdq9ahTglSZIkSdICN2yS4blruqAk6wNnA/cCDq2qM9d0npIkSZIkaeEYKslQVaeu6YKq6lZg9yRbA19MsmtVnTdYJskSYAnA4sWzVpCQJEmSJEkLyLRJhiRvrKqDu/f/NF25qnrLqiywqq5P8nVgP+C8SeMOBw4H2HPPPW1OIUmSJEnSGJmpJsMOA+/vviYLSbII+H2XYNgU+DNaZ5KSJEmSJGktMW2SoapeOvD+gDVczt2Ao7p+GdYDPltVJ6zhPCVJkiRJ0gIyVJ8MSX5RVXeaYvg1VXWX2aavqu8De6xGfJIkSZIkaUysN2S5DScPSLIhsH6/4UiSJEmSpHE1Y02GJN8ACtgkyWmTRu8A/O+oApMkSZIkSeNltuYSHwMCPBj4+MDwAq4GTh5RXJIkSZIkaczMmGSoqqMAknyrqn44NyFJkiRJkqRxNFTHj1X1wyTbAg8BtqHVbpgYd+SIYpMkSZIkSWNk2KdLPBU4GvgxcH/gfGBX4JuASQZJkiRJkjT00yXeARxQVXsAN3R/lwBnjywySZIkSZI0VoZNMiyuquMmDTsKeH7P8UiSJEmSpDE1bJLhmq5PBoBLkjwMuCew/mjCkiRJkiRJ42bYJMMRwN7d+w8AXwfOBT4yiqAkSZIkSdL4GfbpEv888P6TSU4BNq+qC0cVmCRJkiRJGi/D1mRYSVX9DNggyeR+GiRJkiRJ0jpqxiRDks2SvD3Jl5O8P8kdkuyc5IvAGcA1cxOmJEmSJEla6GZrLnEosAfwVeDxwG7AfWlPlnhxVV032vAkSZIkSdK4mC3J8Dhg96q6JsmHgZ8B+1TVN0YfmiRJkiRJGiez9cmwRVVdA1BVlwPLTTBIkiRJkqSpzFaTYYMkjwYyMWDy56o6eUSxSZIkSZKkMTJbkuEa4MiBzz+f9LmAnfsOSpIkSZIkjZ8ZkwxVtdMcxSFJkiRJksbcbH0ySJIkSZIkDcUkgyRJkiRJ6oVJBkmSJEmS1ItZkwxpdk6y/lwEJEmSJEmSxtOsSYaqKuAHtCdJSJIkSZIkTWnY5hLfA/5olIFIkiRJkqTxNuMjLAecAnwlyVLgMgZqNVTVkf2HJUmSJEmSxs2wSYZHAD8F9pk0vACTDJIkSZIkabgkQ1U9etSBSJIkSZKk8TZsTYbbJQmQic9VdVuvEUmSJEmSpLE0VMePSbZP8sUkPwduAX4/8JIkSZIkSRr66RKHAb8DHgMsB/4YOB44cERxSZIkSZKkMTNsc4mHA4ur6oYkVVXnJnkh8L/AEaMLT5IkSZIkjYthazLcSmsmAXB9kkXADcD2I4lKkiRJkiSNnWGTDGcCf969/ypwLPAF4KxRBCVJkiRJksbPsM0lnseKhMQrgVcDWwIfGEVQkiRJkiRp/Axbk+HPquoXAFV1U1W9o6peD+w9utAkSZIkSdI4GTbJ8PFphh/eVyCSJEmSJGm8zdhcIsnO3dv1ktwDyMDonYHfjiowSZIkSZI0Xmbrk+FioGjJhf+bNG4ZcNAIYpIkSZIkSWNoxiRDVa0HkOTUqtpnbkKSJEmSJEnjaKg+GQYTDEm2TrJHks1GF5YkSZIkSRo3MyYZkrwuyV8OfN4PuAw4G7gsyUNHHJ8kSZIkSRoTs9Vk+BvgvIHPH+peWwLvB945orgkSZIkSdKYmS3JcLeq+hFAknsBOwLvqqobgPcCDxhxfJIkSZIkaUzMlmS4Mckduvd7A9+vquXd59uY/ekUkiRJkiRpHTFbkuFE4PAkTwZeA3x+YNwDaf0zSJIkSZIkzZpk+AfgRuBg4AzgAwPj9gM+M6K4JEmSJEnSmJmxuUNV/YrW+eNU494xkogkSZIkSdJYmq0mgyRJkiRJ0lBMMkiSJEmSpF6YZJAkSZIkSb0wySBJkiRJknoxVJIhzYuTnJzk+92wRyV5+mjDkyRJkiRJ42LYmgz/BLwQOBxY3A27HHj9KIKSJEmSJEnjZ9gkw/7AE6vqM0B1w34K7DyKoCRJkiRJ0vgZNsmwPrC8ez+RZNhiYJgkSZIkSVrHDZtkOBF4f5KNofXRALwd+PKoApMkSZIkSeNl2CTDPwB3A34FbEWrwbAj9skgSZIkSZI6GwxTqKp+DfxFkm1pHT9eVlXLRhqZJEmSJEkaK0MlGZJM1Hi4tnuRZL2qum1UgUmSJEmSpPEybHOJW4DfT34luTnJT5O8L8kW002c5O5Jvp7kgiTnJ3nFmocuSZIkSZIWkmGTDC8HTgYeC9wPeBzwP8DrgJcCDwf+dYbpbwFeXVW7AA8F/i7JLqsbtCRJkiRJWniGai5B6/jxj6vqV93nHyU5Czi7qu6Z5AfA2dNNXFVXAVd173+T5EJge+CC1Q9dkiRJkiQtJMPWZLgDsNmkYZvRnjQBsAzYdJgZJdkJ2AM4c8hlS5IkSZKkMTBsTYZPAl9L8kHgMmAH4BXAUd34xwIXzTaTrt+GzwOv7J5YMXn8EmAJwOLFi4cMTZIkSZIkLQTDJhleC/wYeCawHa3pw6HAEd34rwOnzDSDJBvSEgyfqqovTFWmqg4HDgfYc889a8jYJEmSJEnSAjBUkqF7VOVh3Wuq8b+dafokAT4OXFhV71/VICVJkiRJ0sI3bE0GkmwLPATYBsjE8Ko6cojJHwE8D/hBknO6Yf+vqk5chVglSZIkSdICNlSSIclTgaNpTSbuD5wP7Ap8E5g1yVBV32QgMSFJkiRJktY+wz5d4h3AAVW1B3BD93cJMzy2UpIkSZIkrVuGTTIsrqrjJg07Cnh+z/FIkiRJkqQxNWyS4ZquTwaAS5I8DLgnsP5owpIkSZIkSeNm2CTDEcDe3fsP0B5ZeS7wb6MISpIkSZIkjZ9hny7xnu4xllTVJ5OcAmxeVReOLDJJkiRJkjRWZk0yJFkfWJ5k66q6GaCqfjbyyCRJkiRJ0liZtblEVd0K/Ai48+jDkSRJkiRJ42rY5hKfAk5I8kHgcqAmRlTVyaMITJIkSZIkjZdhkwwv7f4eNGl4ATv3Fo0kSZIkSRpbQyUZquoeow5EkiRJkiSNt2EfYUmSDZM8Mskzus+bJ9l8dKFJkiRJkqRxMlSSIclutM4fjwA+3g3eBzhyRHFJkiRJkqQxM2xNho8Ab6mq+wK/74adCuw9kqgkSZIkSdLYGTbJcH/g6O59AVTVDcCmowhKkiRJkiSNn2GTDJcADxockOQhwMV9ByRJkiRJksbTsI+wfDPwn0kOAzZK8gbgQODFI4tMkiRJkiSNlaFqMlTVCcB+wCJaXww7An9ZVSeNMDZJkiRJkjRGhqrJkGSbqvoe8LcjjkeSJEmSJI2pYftk+FmSE5M8J8nmI41IkiRJkiSNpWGTDIuBE4CXAsuSHJPkSUmG7dNBkiRJkiSt5Ybtk+G6qvq3qtob2BU4FzgYuGqUwUmSJEmSpPExbE2GQXcBtgW2Aa7vNxxJkiRJkjSuhkoyJNklyduTXAz8Rzf4qVV179GFJkmSJEmSxsmwfSqcDnweeAnw9aq6DSDJehPvJUmSJEnSum3YJMO2VfW7iQ9JdgNeADwb2G4UgUmSJEmSpPEybMePv0uyKMkrknwXOAfYE3jFSKOTJEmSJEljY8aaDEk2BJ4M7A88DrgYOAbYEXh6VV0z6gAlSZIkSdJ4mK0mw9XAR4GLgIdW1S5V9XbgdzNPJkmSJEmS1jWzJRm+D2wN7AU8OMkdRx+SJEmSJEkaRzMmGapqX+CewEnAa4BlSb4MbA5sOPLoJEmSJEnS2Ji148equrSq3l5V9wYeA1wF3Aacm+RfRh2gJEmSJEkaD0M9XWJCVX2zqpYAdwVeDuw2kqgkSZIkSdLYWaUkw4Sq+m1VHVNVj+87IEmSJEmSNJ5WK8kgSZIkSZI0mUkGSZIkSZLUC5MMkiRJkiSpFyYZJEmSJElSL0wySJIkSZKkXphkkCRJkiRJvTDJIEmSJEmSemGSQZIkSZIk9cIkgyRJkiRJ6oVJBkmSJEmS1AuTDJIkSZIkqRcmGSRJkiRJUi9MMkiSJEmSpF6YZJAkSZIkSb0wySBJkiRJknphkkGSJEmSJPXCJIMkSZIkSeqFSQZJkiRJktQLkwySJEmSJKkXJhkkSZIkSVIvTDJIkiRJkqRemGSQJEmSJEm9MMkgSZIkSZJ6YZJBkiRJkiT1wiSDJEmSJEnqhUkGSZIkSZLUC5MMkiRJkiSpF3OSZEhyZJJrkpw3F8uTJEmSJElzb65qMiwF9pujZUmSJEmSpHkwJ0mGqjoN+MVcLEuSJEmSJM0P+2SQJEmSJEm9WFBJhiRLkpyV5Kxrr712vsORJEmSJEmrYEElGarq8Kras6r2XLRo0XyHI0mSJEmSVsGCSjJIkiRJkqTxNVePsDwGOAO4T5LLk7xwLpYrSZIkSZLmzgZzsZCqetZcLEeSJEmSJM0fm0tIkiRJkqRemGSQJEmSJEm9MMkgSZIkSZJ6YZJBkiRJkiT1wiSDJEmSJEnqhUkGSZIkSZLUC5MMkiRJkiSpFyYZJEmSJElSL0wySJIkSZKkXphkkCRJkiRJvTDJIEmSJEmSemGSQZIkSZIk9cIkgyRJkiRJ6oVJBkmSJEmS1AuTDJIkSZIkqRcmGSRJkiRJUi9MMkiSJEmSpF6YZJAkSZIkSb0wySBJkiRJknphkkGSJEmSJPXCJIMkSZIkSeqFSQZJkiRJktQLkwySJEmSJKkXJhkkSZIkSVIvTDJIkiRJkqRemGSQJEmSJEm9MMkgSZIkSZJ6YZJBkiRJkiT1wiSDJEmSJEnqhamDjXwAABUBSURBVEkGSZIkSZLUC5MMkiRJkiSpFyYZJEmSJElSL0wySJIkSZKkXphkkCRJkiRJvTDJIEmSJEmSemGSQZIkSZIk9cIkgyRJkiRJ6oVJBkmSJEmS1AuTDJIkSZIkqRcmGSRJkiRJUi9MMkiSJEmSpF6YZJAkSZIkSb0wySBJkiRJknphkkGSJEmSJPXCJIMkSZIkSeqFSQZJkiRJktQLkwySJEmSJKkXJhkkSZIkSVIvTDJIkiRJkqRemGSQJEmSJEm9MMkgSZIkSZJ6YZJBkiRJkiT1wiSDJEmSJEnqhUkGSZIkSZLUC5MMkiRJkiSpFyYZJEmSJElSL0wySJIkSZKkXphkkCRJkiRJvTDJIEmSJEmSemGSQZIkSZIk9WLOkgxJ9ktyUZKLk/zjXC1XkiRJkiTNjTlJMiRZHzgUeDywC/CsJLvMxbIlSZIkSdLcmKuaDA8BLq6qn1TV74DPAE+Zo2VLkiRJkqQ5MFdJhu2BywY+X94NkyRJkiRJa4lU1egXkjwN2K+qXtR9fh6wV1W9bFK5JcCS7uN9gItGHty6YRvguvkOQpqGx6cWKo9NLVQem1rIPD61UHls9mvHqlo01YgN5iiAK4C7D3zeoRu2kqo6HDh8jmJaZyQ5q6r2nO84pKl4fGqh8tjUQuWxqYXM41MLlcfm3Jmr5hLfAe6d5B5JNgKeCRw/R8uWJEmSJElzYE5qMlTVLUleBnwVWB84sqrOn4tlS5IkSZKkuTFXzSWoqhOBE+dqeVqJTVC0kHl8aqHy2NRC5bGphczjUwuVx+YcmZOOHyVJkiRJ0tpvrvpkkCRJkiRJazmTDGMuyZOT/ONqTPe/o4hHGkaSpybZZTWmW63jXZIkSdLcMMkw5qrq+Kp692pM9/BRxCMN6anAKiUZkmywuse71m5JliZ52ixl9k3S+/dekr9PcmGST/U9b2lUkuyfZLvVmO7AJM8fRUx9SHJQktfMMH6N40/yniTnJ3nPmsxnNZe9fIgyr0yyWY/LfGS3vuck2bSv+a7L1tbzb1wslO3f/S45YRWnGeb3zqxl5sKcdfyoVZdkJ+ArwLeAh9MeBfoJ4G3AXYDn0C7U9qyqlyX5a+CtwK3Ar6rqUUnu302zES2p9FdV9eMky6tqiyT7AgcB1wG7AmcDz62qSvLnwPuBG4DTgZ2r6olzse6aX0neDVxWVYd2nw8ClgMBng5sDHyxqt7ajX8z8FzgWuAy4Oyqem+SewKHAouAG4EXA3cCngzsk+RNwF8BfwIsoR2nFwPPq6obkywFfgvsAZye5PusON6fBLypm+bnwHOq6uou1sXAzt3ff62qD41qW2ls7Es7hvuuxfW3wJ9W1eWDA7uk2C09L0vqy/7AecCVw07QHdOHjSyiOTBd/Kt4vi4B7lRVt67BPEbplcDRtP+5fXgO8K6qOnpw4AJa33G0P+vg+beA7I/bf/SqytcCfQE7AbcAu9ESBGcDR9Iu9J4C/AftRDmkK/8DYPvu/dbd3w/TLr6gXYxt2r1f3v3dF/gVsEO3jDOAvYFNaBeL9+jKHQOcMN/bxNecHXt7AKcOfL4AeAGtV950x8oJwKOABwPndMfMlsCPgdd00/0PcO/u/V7Ayd37pcDTBuZ/54H37wBePlDuBGD97vPg8X5HVnRe+yLgfd37g2gXkhsD29ASEBvO9zb11dux+WbgIuCb3ffSawaPJ+ASYJvu/Z7AKd136TLgiu5YfSQt8fV5WvL2O8AjBo6fI7vpfgL8/QyxHAb8rvvufVU37b/TkrLHzLCMzbtlfBv4HvCU+d6u6/oLeDfwdwOfD+qOrdd2++77wNtmOg674S/uyp/b7fvNuuFLgQ91300/Gfz+myKWzwBPGPi8FHga7RHg7xmI5yXd+PWAfwN+CHyN9iSvifPhQcCptN8PXwXu1s1reRf/OcCmwFu6+Z5H9z3fTX8K8K/AWcCrJ7ZLX+va0757I/AjVv5OmC62wfgH1+2twE/p/lcAdxj8PLCs42k3cs4BntGt62HAmbSbMvek3Rw6G/gGcN9uuim/C6ZZn0Xdfjwf+BhwKSu+0wZ/u50wMM0htP+Pf8+K76Svd+MeS/tt913gOGCLbvgltJtW3+3K33eKWF4E/KLbFp/qlvuNbjv8iGmOyW7aKc+dYc+9meaB518v6+r33/xuf9r5dArwuS7+Tw0se7qYlg6s36xl5vM1rwv3NcvOaT+Mfzzw+ZOsSBjs3J0c+7Piouuw7gR7Md1FG/Bs2j+q19Nd7HXDB/9RfW1g+Edod6R3Z+WLzCdjkmGdegEXAtsBD6RdNL2X9qPknO51MfBC2l2TwX8+76f9c9oCuGmg/DnAhV2Zlb4AgX1oP1x+QPsxc9hAuRcMlBs83ncDTuqmuQj4Sjf8IOCNk9Zjh/nenr56OSanTGgxS5Jh4Lh4zcC8Pg3s3b1fPHBsHsQqJKkmLe8g2o+ZTWdZxjtpNcYAtqb9WN98vrfvuvyiv8TqTAnT47r57AJcPEMsfwEc1b3fiJbw35R2B/1N3fCNaT9870H70XxiN++7Ar/shm3YHcuLummeARzZvT+FVitsYpl3Gnj/78CTBsr928C428+jPta1h/32INr/gM1oiYGLad8J08U2GP/kdfsE8NTu/RK6xPUUy1w+8H4pKyfCp0usT/ldMM38DwHe0L3fDyiGTDJ07y8ZKL8NcBrd9wvtt+BbBspNbJe/BT42TTxLWfH9ui+tduvEDajpjsnHMsW5swrn3t2nmweef72ff9PsA7//Rrz9meZG7ywxLWXF+Thrmfl82Vxi4bt54P1tA59vY1Jzl6o6MMlewBOAs5M8qKo+neTMbtiJSV5SVSfPsIxbJ89X66zjaF/UdwWOBXakVZn86GChJK+cZvr1gOuravchlrWU9uPu3CT70754J9wwzTQfBt5fVccPNPuZ4DG9dnoE8KWq+i3w2yRfXoN5/SmwS5KJz3dIskX3/j+r6mbg5iTXANsCl08xj6kcX1U3zbKMxwJPHmg7vgndhcdqr43WSFV9L8lduna6i2g/VHej7avvdcW2AO5N+2E93XG4a5J30JJHW9Dunk34j6q6DbggybYzhPNfwAeTbEy7yDytqm5K8ljgAQNtbbfq4tkbOK6b97IkX+/G34fWDPJr3TG4PnDVNMt8dJLX0S7W70S7OTGxXsdOM00f67qmHklruncjQJLjh4ht0OC6fQx4Ha2W6AG0GzbDOK6qbu3O7YcDxw2c8xt3f6f8LqiqqfpY2Jt2oUVVfSXJL4eMYyoPpV3onN4teyPahcyEL3R/zwb+csh5fruqftq9n+6YfCxTnzunTZ7ZVOdeVV2W5BXTzMPzr791Bfz+Y363/7era26Z5BzaDeZvzhLTMHHPO394r0WS3LOqzgTOTPJ44O5JtgJ+UlUfSrIYeAAwOckwlYuAnZPsVFWX0DKAWrccCxxBuxOyD+0fztuTfKqqlifZHvg9rZbDR5O8i/ad8kTg8Kr6dZKfJvnrqjou7Vv+AVV1LvAb2j+qCVsCVyXZkNb+84oh4ttqoNwL1nhttba4hRWdGm8yQ7n1gId2P5Ru1/0YWZMk1WBSbLplhNY/zkWrMF+N3pomVmHmhOngcRWmUVW/TXIK8Dja/97PDEzz8qpa6YK56z9pKgHOr6qHzRAvSTahVTfes7u4O4iVz53pEr1LWcN1HaGlTB/boNvXrapOT7JTl7Rev6rO627cTOz/t1TV8TPMY6bE+pTfBWtg8HsOpv+uC6226rOmGT+xn27/nkvyVVpi9ayqetEU0wweD9Mdk49jinNnBpPPvYl5e/7N3fnn99/8bP8/+L0xREzDxD3vfLrE2uU9SX6Q5DxaFaFzaZ30nddlx3alNbmYVXcn7m+BryQ5m3ZR+KvRhK2FqKrOp138X1FVV1XVSbQqn2ck+QGtDdmWVfUdWvvM79My0D9gxbHyHOCFSc6lZVif0g3/DPDaJN9L6xzyzbQ2rafT2qUN4yDaHaOzaR2Xau13OvCkJJt0dw2n6oj2EloVamidik6YnNg6CXj5xIckw9S4WVXTLeOrwMu7ZANJ9hjBsrXqjgWeSfuhfRxtP/3NRA2XJNsnuQszH4eTE6ZrEssBtDv1X+mGfRV4aTdvkvxRks27eP4qyXrdXbN9u/IXAYuSPKwrv2FaZ9Cw8vkw8cP0um59hu2VvK91XROnAU9NsmmSLYEnrWFsn6T9n/sEQFWdWVW7d6+pEgy3q6pfAz9N64SbNA/sRq/K983ptN9udHdv7zhFmUtpNSM2TrI18JiBcYP79lvAI5Lcq5vf5kn+aJb1eFy3vlMlGCab7pic7tyZzuRzb2Lenn/T6/v88/tv4Xz/DRPT6sY9Z6zJsIB1NQh2Hfi8/zTjlnbDpqrq9u7uNXneW3R/T6G1OZoY/rKBYl+vqvt2P4QPpbV/0jqkqnab9PmDwAenKPreqjoo7bFZp9GqXtJVqdxvivmezsqPsPxI95pcbv9Jn5ey4nj/EvClKaY5aNLnXSeX0Xiqqu+kVYf+PnA1Kye0JrwN+HiStzPw3UarQvi5JE+h/dj/e+DQtCeWbEA7bg/sOeTplvF2WmdS30+yHq0fEp/cM8+q6vzuQvWKqrqK9gPyfrTEKrTOwp47y3E4kTC9tvu7JavnJFob2y9V1e+6YR+jVaX9bvd/+Vra44A/T7vIvIDWfvm7tCdM/S6tavGH0mo1bkA77s6n67AwyU3Aw2i11s6jdZD6nSFj7GtdV1tVfTfJsbSbKtewIvbVje1TtPbVx6xmSM8BPpL25KQNaQn1c1m175u3AcckeR6tacMy2kXR7bo7l5+l7bOfsqJKO7R29F9JcmVVPbq7y3pMWvVzaE9l+tFqrt9kUx6TVXXSVOcObR/9gSnOPaabh+ff7Xo9//z+Wzjff1V1fZIZYxqmzHyb6IVS+gNJXkWrhr4R7R/YiyfaPUqDknyaljTYhNZhz7vmOSStpdK1Yx5IaC2pqu/Od1xatyy043AgnjvTnlryiKpaNl/xjKvuouQpVfW8eYxhY+DWqrqluwv7kWmaYKyzPP/ml9tfw7Amg6ZVVR8APjDfcWjhq6pnz3cMWmccnmQwoWWCQfNhoR2HJ3TV5jcC3u4P7FWX5MPA44Hp2njPlcXAZ7taTr9j+A4o1yWef/PL7a9ZWZNBkqQZdHdH/meKUY+pqp/PdTxaOyTZjVYleNDNVbXXfMSjuZXkAOAVkwafXlV/Nx/xjNpC+x71/Jtf69L2X5fWdZBJBkmSJEmS1AufLiFJkiRJknphkkGSJEmSJPXCJIMkSQtYksOSvHm+45hvSR6Z5KLVnNZtKEnSHLFPBkmS5kmSS4BtgVuAW2nP+v4kcHhV3baa83tRVf13j2EOzv8g4I3AzbSYLwBeXVVnrOF8C7h3VV3cQ4z707bB3ms6L0mStOqsySBJ0vx6UlVtCewIvBt4PfDx+QgkyfpDFDu2qrYAtgG+Dhw32qggiY/cliRpTJhkkCRpAaiqX1XV8cAzgBck2RUgydIk75gol+SJSc5Jcn2S/03ygG74vwOLgS8nWZ7kdd3w45IsS/KrJKcluf/AvJYm+UiSE5PcAPxDkqsHkw1J/jLJuVPEewvwKWD7JIu6slsl+XiSq5JckeQdE/NKcq8kp3ZxXJfk2G74ad0sz+3ifkaSfZNcnuT1SZYBn5gYNhDX3ZN8Icm1SX6e5JAk9wMOAx7Wzev6abbhi5NcnOQXSY5Pst3AuEpyYJIfd9v40CSZaR0kSdIKJhkkSVpAqurbwOXAIyePS7IHcCTwEuDOwEeB45NsXFXPA35GqxmxRVX9SzfZfwH3Bu4CfJeWGBj0bOBgYEvgw8DPgccOjH8erQnH5Fg2Ap7flf9lN3gprRnFvYA9uvm8qBv3duAk4I7ADt2yqKpHdeMf2MU9ceF+V+BOtBoeSyYte33gBOBSYCdge+AzVXUhcCBwRjevraeI+0+AdwFPB+7WzeMzk4o9EXgw8ICu3ONmWgdJkrSCSQZJkhaeK2kX2JMtAT5aVWdW1a1VdRStf4SHTjejqjqyqn5TVTcDBwEPTLLVQJEvVdXpVXVbVf0WOAp4LkCSO9EusD89UP7pXQ2Bm4AXA0+rqluSbAv8OfDKqrqhqq4BPgA8s5vu97SEwXZV9duq+uYs2+A24K1VdXNV3TRp3EOA7YDXdssaZn4TngMcWVXf7bbJG2g1H3YaKPPuqrq+qn5GaxKy+2qugyRJ6xyTDJIkLTzbA7+YYviOwKu7avzXdxf7d6ddcP+BJOsneXeS/0vya+CSbtQ2A8UumzTZ0cCTkmxOu4v/jaq6amD8Z7saAtsC5wEPGohtQ+Cqgdg+SqtBAfA6IMC3k5yf5G9m2QbXdkmPqdwduLRrsrGqtqPVXgCgqpbTamNsP1Bm2cD7G4Etuverug6SJK1z7EhJkqQFJMmDaRe8U90lvww4uKoOnmbyyY+MejbwFOBPaQmGrWhNGzLdNFV1RZIzgL+kNZX4yJQLqrouyRLgrCSf7mK7Gdhmqov/qlpGq/lAkr2B/05y2gxPlJjp8VeXAYuTbDDFsmZ7bNaVtIQIXSyb05qeXDHLdKuzDpIkrXOsySBJ0gKQ5A5JnkjrH+DoqvrBFMWOAA5MsleazZM8IcmW3firgZ0Hym9Ju/D/ObAZ8M4hw/kk7a79bsAXpitUVRcBXwVe19V2OAl4X7cu6yW5Z5J9uvX76yQ7dJP+kpYMmHhM5+S4Z/Nt4Crg3d022CTJIwbmtUPXZ8RUjgEOSLJ7ko1p2+TMqrpktoXOsg6SJAmTDJIkzbcvJ/kN7e78G4H3AwdMVbCqzqLdST+EdpF7MbD/QJF3AW/qmiu8hpYsuJR2l/4C4FtDxvRF2t3+L1bVjbOUfQ+wJMldaB1BbtQt65fA52idK0LrSPHMJMuB44FXVNVPunEHAUd1cT99tuCq6lbgSbQOJn9G6yjzGd3ok4HzgWVJrpti2v8G3gx8npaouCcr+o2YzUzrIEmSgFTNVqtQkiSta5L8H/CS7qJckiRpKNZkkCRJK0nyV7SmACfPdyySJGm82PGjJEm6XZJTgF2A51WV/Q1I/799OyYBAABgGObf9TQMeiYyCgXgYpcAAAAAEnYJAAAAICEyAAAAAAmRAQAAAEiIDAAAAEBCZAAAAAASIgMAAACQGNVBKRigeIhjAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i in column_names:\n",
        " # print(i)\n",
        "  print(df2.groupby([i]).agg({'stars': ['mean', 'median', 'count']}))\n",
        "  print('\\n')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hbdJe8bRx8vd",
        "outputId": "d1c7ec40-edc6-4576-9f2a-e1facfddce67"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "            stars              \n",
            "             mean median  count\n",
            "Caters                         \n",
            "False    3.530503    3.5   9409\n",
            "True     3.692844    4.0  13988\n",
            "missing  3.515513    3.5  11893\n",
            "\n",
            "\n",
            "                        stars              \n",
            "                         mean median  count\n",
            "RestaurantsDelivery                        \n",
            "False                3.583481    3.5  12985\n",
            "True                 3.566521    3.5  17333\n",
            "missing              3.687450    4.0   4972\n",
            "\n",
            "\n",
            "                       stars              \n",
            "                        mean median  count\n",
            "RestaurantsTakeOut                        \n",
            "False               3.585569    3.5   1379\n",
            "True                3.583939    3.5  30689\n",
            "missing             3.647424    4.0   3222\n",
            "\n",
            "\n",
            "            stars              \n",
            "             mean median  count\n",
            "HasTV                          \n",
            "False    3.737514    4.0   6387\n",
            "True     3.564783    3.5  23293\n",
            "missing  3.525490    3.5   5610\n",
            "\n",
            "\n",
            "                               stars              \n",
            "                                mean median  count\n",
            "BusinessAcceptsCreditCards                        \n",
            "False                       3.847500    4.0   1000\n",
            "True                        3.570706    3.5  31136\n",
            "missing                     3.696576    4.0   3154\n",
            "\n",
            "\n",
            "                   stars              \n",
            "                    mean median  count\n",
            "OutdoorSeating                        \n",
            "False           3.494413    3.5  15572\n",
            "True            3.670441    3.5  13867\n",
            "missing         3.652538    4.0   5851\n",
            "\n",
            "\n",
            "                           stars              \n",
            "                            mean median  count\n",
            "RestaurantsPriceRange2                        \n",
            "1.0                     3.504578    3.5  10266\n",
            "2.0                     3.564004    3.5  18241\n",
            "3.0                     3.702867    4.0   1395\n",
            "4.0                     3.768456    4.0    149\n",
            "missing                 3.811414    4.0   5239\n",
            "\n",
            "\n",
            "                stars              \n",
            "                 mean median  count\n",
            "GoodForKids                        \n",
            "False        3.526635    3.5   5200\n",
            "True         3.545802    3.5  23580\n",
            "missing      3.799616    4.0   6510\n",
            "\n",
            "\n",
            "                            stars              \n",
            "                             mean median  count\n",
            "RestaurantsReservations                        \n",
            "False                    3.528700    3.5  17892\n",
            "True                     3.637331    3.5  12073\n",
            "missing                  3.687324    4.0   5325\n",
            "\n",
            "\n",
            "                             stars              \n",
            "                              mean median  count\n",
            "RestaurantsGoodForGroups                        \n",
            "False                     3.465205    3.5   3808\n",
            "True                      3.564519    3.5  25574\n",
            "missing                   3.779536    4.0   5908\n",
            "\n",
            "\n",
            "                stars              \n",
            "                 mean median  count\n",
            "BikeParking                        \n",
            "False        3.486029    3.5   6227\n",
            "True         3.680552    4.0  17596\n",
            "missing      3.506889    3.5  11467\n",
            "\n",
            "\n",
            "                stars              \n",
            "                 mean median  count\n",
            "DogsAllowed                        \n",
            "False        3.829521    4.0   6382\n",
            "True         3.955146    4.0   1817\n",
            "missing      3.508822    3.5  27091\n",
            "\n",
            "\n",
            "              stars              \n",
            "               mean median  count\n",
            "HappyHour                        \n",
            "False      3.926387    4.0   2975\n",
            "True       3.610230    3.5   7566\n",
            "missing    3.543093    3.5  24749\n",
            "\n",
            "\n",
            "                         stars              \n",
            "                          mean median  count\n",
            "WheelchairAccessible                        \n",
            "False                 3.924609    4.0    703\n",
            "True                  3.856711    4.0   8776\n",
            "missing               3.489927    3.5  25811\n",
            "\n",
            "\n",
            "                            stars              \n",
            "                             mean median  count\n",
            "RestaurantsTableService                        \n",
            "False                    3.777587    4.0   3788\n",
            "True                     3.778824    4.0  10729\n",
            "missing                  3.457926    3.5  20773\n",
            "\n",
            "\n",
            "                           stars              \n",
            "                            mean median  count\n",
            "BusinessAcceptsBitcoin                        \n",
            "False                   3.827422    4.0   4737\n",
            "True                    3.782895    4.0     76\n",
            "missing                 3.552384    3.5  30477\n",
            "\n",
            "\n",
            "                   stars              \n",
            "                    mean median  count\n",
            "GoodForDancing                        \n",
            "False           3.681556    4.0   2776\n",
            "True            3.502232    3.5    448\n",
            "missing         3.583079    3.5  32066\n",
            "\n",
            "\n",
            "              stars              \n",
            "               mean median  count\n",
            "CoatCheck                        \n",
            "False      3.627853    3.5   3418\n",
            "True       3.764214    4.0    299\n",
            "missing    3.584027    3.5  31573\n",
            "\n",
            "\n",
            "            stars              \n",
            "             mean median  count\n",
            "BYOB                           \n",
            "False    3.950184    4.0   2449\n",
            "True     4.119326    4.0    771\n",
            "missing  3.549548    3.5  32070\n",
            "\n",
            "\n",
            "                      stars              \n",
            "                       mean median  count\n",
            "ByAppointmentOnly                        \n",
            "False              3.751715    4.0   2187\n",
            "True               3.839744    4.0     78\n",
            "missing            3.578486    3.5  33025\n",
            "\n",
            "\n",
            "              stars              \n",
            "               mean median  count\n",
            "DriveThru                        \n",
            "False      3.610140    3.5   1430\n",
            "True       3.403797    3.5    395\n",
            "missing    3.591125    3.5  33465\n",
            "\n",
            "\n",
            "            stars              \n",
            "             mean median  count\n",
            "Corkage                        \n",
            "False    3.914648    4.0   1734\n",
            "True     4.006652    4.0    902\n",
            "missing  3.561034    3.5  32654\n",
            "\n",
            "\n",
            "                              stars              \n",
            "                               mean median  count\n",
            "RestaurantsCounterService                        \n",
            "False                      3.500000    3.5      2\n",
            "True                       4.000000    4.0      9\n",
            "missing                    3.589699    3.5  35279\n",
            "\n",
            "\n",
            "                stars              \n",
            "                 mean median  count\n",
            "Open24Hours                        \n",
            "False        3.900000   4.00     10\n",
            "True         3.125000   3.25      4\n",
            "missing      3.589764   3.50  35276\n",
            "\n",
            "\n",
            "                    stars              \n",
            "                     mean median  count\n",
            "AcceptsInsurance                       \n",
            "False             3.00000   3.00      2\n",
            "True              2.75000   2.75      2\n",
            "missing           3.58988   3.50  35286\n",
            "\n",
            "\n",
            "                       stars              \n",
            "                        mean median  count\n",
            "AgesAllowed_21plus                        \n",
            "0                   3.589969    3.5  35279\n",
            "1                   3.045455    3.0     11\n",
            "\n",
            "\n",
            "                        stars              \n",
            "                         mean median  count\n",
            "AgesAllowed_allages                        \n",
            "0                    3.590627    3.5  35238\n",
            "1                    3.028846    3.0     52\n",
            "\n",
            "\n",
            "                 stars              \n",
            "                  mean median  count\n",
            "Alcohol_None                        \n",
            "0             3.586716    3.5  23208\n",
            "1             3.595721    3.5  12082\n",
            "\n",
            "\n",
            "                          stars              \n",
            "                           mean median  count\n",
            "Alcohol_beer_and_wine                        \n",
            "0                      3.560089    3.5  30771\n",
            "1                      3.792100    4.0   4519\n",
            "\n",
            "\n",
            "                     stars              \n",
            "                      mean median  count\n",
            "Alcohol_full_bar                        \n",
            "0                 3.626459    3.5  23039\n",
            "1                 3.520855    3.5  12251\n",
            "\n",
            "\n",
            "                 stars              \n",
            "                  mean median  count\n",
            "BYOBCorkage_no                      \n",
            "0               3.5915    3.5  34634\n",
            "1               3.5000    3.5    656\n",
            "\n",
            "\n",
            "                            stars              \n",
            "                             mean median  count\n",
            "BYOBCorkage_yes_corkage                        \n",
            "0                        3.589093    3.5  35199\n",
            "1                        3.862637    4.0     91\n",
            "\n",
            "\n",
            "                         stars              \n",
            "                          mean median  count\n",
            "BYOBCorkage_yes_free                        \n",
            "0                     3.589271    3.5  34793\n",
            "1                     3.626761    3.5    497\n",
            "\n",
            "\n",
            "                       stars              \n",
            "                        mean median  count\n",
            "NoiseLevel_average                        \n",
            "0                   3.573658    3.5  17432\n",
            "1                   3.605555    3.5  17858\n",
            "\n",
            "\n",
            "                    stars              \n",
            "                     mean median  count\n",
            "NoiseLevel_loud                        \n",
            "0                3.603627    3.5  33529\n",
            "1                3.326519    3.5   1761\n",
            "\n",
            "\n",
            "                     stars              \n",
            "                      mean median  count\n",
            "NoiseLevel_quiet                        \n",
            "0                 3.585953    3.5  30191\n",
            "1                 3.612571    3.5   5099\n",
            "\n",
            "\n",
            "                         stars              \n",
            "                          mean median  count\n",
            "NoiseLevel_very_loud                        \n",
            "0                     3.599789    3.5  34673\n",
            "1                     3.028363    3.0    617\n",
            "\n",
            "\n",
            "                             stars              \n",
            "                              mean median  count\n",
            "RestaurantsAttire_casual                        \n",
            "0                         3.771477    4.0   8288\n",
            "1                         3.534035    3.5  27002\n",
            "\n",
            "\n",
            "                             stars              \n",
            "                              mean median  count\n",
            "RestaurantsAttire_dressy                        \n",
            "0                         3.586854    3.5  34627\n",
            "1                         3.743590    4.0    663\n",
            "\n",
            "\n",
            "                             stars              \n",
            "                              mean median  count\n",
            "RestaurantsAttire_formal                        \n",
            "0                         3.590125    3.5  35251\n",
            "1                         3.294872    3.5     39\n",
            "\n",
            "\n",
            "               stars              \n",
            "                mean median  count\n",
            "Smoking_no                        \n",
            "0           3.577773    3.5  33604\n",
            "1           3.829478    4.0   1686\n",
            "\n",
            "\n",
            "                    stars              \n",
            "                     mean median  count\n",
            "Smoking_outdoor                        \n",
            "0                3.585847    3.5  34078\n",
            "1                3.700908    3.5   1212\n",
            "\n",
            "\n",
            "                stars              \n",
            "                 mean median  count\n",
            "Smoking_yes                        \n",
            "0            3.589805    3.5  35143\n",
            "1            3.588435    3.5    147\n",
            "\n",
            "\n",
            "              stars              \n",
            "               mean median  count\n",
            "WiFi_free                        \n",
            "0          3.545990    3.5  22070\n",
            "1          3.662935    3.5  13220\n",
            "\n",
            "\n",
            "            stars              \n",
            "             mean median  count\n",
            "WiFi_no                        \n",
            "0        3.595743    3.5  22926\n",
            "1        3.578777    3.5  12364\n",
            "\n",
            "\n",
            "              stars              \n",
            "               mean median  count\n",
            "WiFi_paid                        \n",
            "0          3.590607    3.5  35091\n",
            "1          3.447236    3.5    199\n",
            "\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "0WhTGSiplTpJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "57WXDVcSlTrg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "ckeoDaLMk5e8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Explore Reviews Dataset"
      ],
      "metadata": {
        "id": "hSKAeyVg0lD6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_r =pd.read_csv('/content/gdrive/MyDrive/yelp_dataset/yelp_reviews_version2.csv')"
      ],
      "metadata": {
        "id": "6A-nEeA5Z27p"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_r.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6lPMucLEg0ad",
        "outputId": "44cdcdf9-ef3e-4b84-c55c-7bb180c8b1ef"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0       int64\n",
              "user_id         object\n",
              "business_id     object\n",
              "date            object\n",
              "stars          float64\n",
              "text            object\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_r['year'] = df_r['date'].str[:4]"
      ],
      "metadata": {
        "id": "z98m_jPAhxNE"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_r.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "sdpjF5S4g3FJ",
        "outputId": "a0ef72ea-b29e-459b-e248-d3fea01f28be"
      },
      "execution_count": 41,
      "outputs": [
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        "df_r.groupby('year')['stars'].mean().plot.bar()\n"
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            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f8922103a50>"
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              "<Figure size 432x288 with 1 Axes>"
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H3Q+ssb2xbU87eY+32f5Ey54WA2ttb+sZv9L2VS3f+wjAtm+p70G0ErjH9pVt6kxS+xLbb5lmjX9DdXuNO21f3fK1r6Vafx6T9ELgfTy7nv+V7Ucb1jkd+KLt+9p1P2GtHac2/5Pt/yPpD4BfBTYCq23/S8t6/wr4HZ67nv8v24+1rFP0ev7Ma4flLBdJl9v+9/XwCcBHgOupVoa/tn1Ri1p3AkfYflzSh4BfBC4HXgdg++0N6zwB/Bj4CvBp4Ku2n27aR1+tj1D94s6nOgX0mLrurwO32X5vi1q/B/wJsAH4DeAmqk9bvwL8B9t3NKzzZ8DJVPfn2VyPXkL1C/kZ2+c07WnA+/zA9rKG854OvJsqAA4FzrD9v+tp62y/psX7foDqpnLzgWuA1wLXAa+n+r/8yxa1+q+9ENXP/loA28c3rPNN20fUw++kWtYvAr8FfKnNz1zSXcAh9anFq4HHqe+lVI//nYZ1HqVaz79DtZ5/zvZ40z76an2K6ue9J/AIsBD4Qt2TbL91Jy/vr3U6cBxwA3AscFtd87eBP7J9fcM6Ra/nz2F7KB5UobZj+CbgwHp4EXB7y1p39wzfCuzW87xxLaoV6OeAdwJfAx4EzgN+fQrLdxdVCOwJPAzsWY9fQLV11qbWhp7XL6IKJ4CDgZta1PkWsGCC8S8Avj2FniZ63AE81aLOHcDCeng5MFav7M9ZR1rUmlf/zB8DXlyPfyGwoWWtdcA/ACuo/givAB6ohxuvD33r+S3ASD38IuCOlj1t7O2vb9r6luv5blR/VC4AxoGrqC4W3KvtelD/O7/+fZlXP9cUfuZ39Lx+T+D6enhZm3Wh9PW89zFMu1x6PyrMt/3/AGz/SFKr3QjAfZJeZ/ta4HtUH9e+L2nftj3Zfhj4OPBxSfsDvwecI2mJ7aU7f/nP1HLPsuxY3p/S/liGgCfq4R8DP1+/wQZJL25R56fALwDf7xt/QD2tjf2Af0f1x6q/15ta1NnN9cdP29+TtAK4TNJL61ptbHf1iepxSd9x/THd9hNTWKdGgTOAPwfea3u9pCds/2PLOrtJ+jmq/3O53hK2/WNJjXYF9riz52P+7ZJGbY9JejnQZteGXe2quxq4WtICqk82JwN/A0x4I6hJ7FbvdnkRVQjvTXWx4e5UGy9tzafa1bI71dY+tn9Q99hU6ev5M4Yp0A+R9BjVwuwu6QDbD9Qrx7yWtU4FLpH0F8CjwHpJ64F9gP/cos5zfrC2fwh8FPho/YNv4wpJXwf2AM4HPivpZqotvBta1roSuErSDVT7hD8HIOkl/T0P8B7ga5K+DezYf7oMeBlw2qSvmtiXqbY41vdPkHR9izoPSjp0Rx3b2yQdB1xItUupjZ9I2tP248DhPf3sTctf5DrwPizpc/W/DzK135+9qT41CnDPer6Q9r/IpwL/TdJ/obpD3zck3Uf1f3lqizr96/m/UN3OY42kPVv2dAFwD9Xv7J8Dn5P0XeBIql0ebZwP3CJpLfBvqb9nQdII1R+Jpkpfz5/tod7EH1qS9gFeafsbU3jtK4GXU/3ibQZucYuDhpJWuOF+uob1jqLaGrpZ0i9S7Qv8AXBZm77qWsdSfeHI7bavqcftRvXR8qkWdXaj2rffe7DoFk/xWMF0SVpCtWX9wwmmHW37/7aotftEPwtJi4AD3PBYwyS13wgcbfv9U63RV29PYL8dn0xbvvbFwIHU67ntB1u+/uW2v9X2fXdS7xcAbP9T/fv7m8APbH9zCrVeDbySardkq5Mj+uoUu54/57XDFuiS9qPnh9525ZyJWsPYU9e1Jqi90D1H3oeh1jD21GWt9DQ3tUoyNIEu6TDgY1QfSXfcnncJ1VHtd9m+rUWtQ6kOXk5U649sr5vNOsNcayfv0fiI/WzVGsaeuqyVnmamlqSDqW56tZjqzLI/q4+NPeeso9msJelXqI7NTbunXsO0D/0TwH+0vbZ3pKQjgYuAQ1rUumgntT7RolZXdYaylqTJjieI+gBUU13VGsaeuqyVnuak1v8A/gK4merYwo2Sjrf9HdofqO2q1sc67OkZw3Sl6Iv6AwrA9s1UR8znotYw9tRlrb+iOi1zr77HQtqvG13VGsaeuqyVnma/1l62r7L9iO2/oToQelW9AdR2F0VXtbrs6Vme4vmOXT+ozh65Avh9qouJfrUevgI4dy5qDWNPHS/fTcDhk0y7r2VPndQaxp5KX75h7Knj5bsd2Ltv3MHAt4EtLXvqpFaXPfU+hmYfOoCkNzDx5bmtL9PuqtYw9tRVLUm/BGz1BFcFStrPLQ6ydlVrGHvqslZ6mpPl+wPgu64+wfaOXwb8V9vvbNFTJ7W67Ok5rx+mQI+IiKkbmn3okvaWdI6kjZK2StpSD59Tn8s667WGsacZWr57OuxpWrWGsafSl28Yeyp9+brsqdfQBDrwWarLaX/D9kts70t186NH6mlzUWsYe+qy1o46K/rqPDyNnqZbaxh76rJWepr9WqX39Kyp7nzv+gHcO5VpM1lrGHsqffmGsafSl28Yeyp9+brsqfcxTFvo35f0p6qufgSqAx+qbn3Z9j7NXdUaxp66rJWeZr9Wepr9WqX39IxhCvTfB/YF/lHSw5K2Ut0P/SVUdzici1rD2FOXtdLT7NdKT7Nfq/SenjXVTfuZeACvoLqRz8K+8SvnqtYw9lT68g1jT6Uv3zD2VPryddnTM6+d6gu7fgCnA/dSfbPQ94ATeqatm4taw9hT6cs3jD2VvnzD2FPpy9dlT8+pO9UXdv2g+2+qmXatYeyp9OUbxp5KX75h7Kn05euyp97HMN2cq8tv8Oiq1jD21GWt9DT7tdLT7Ncqvadni071hTPgQVW3hQWqb/Cg+oLYRbT/Bo+uag1jT13WSk+zXys9zX6t0nt61lQ37bt+UN3Pe/9Jph09F7WGsafSl28Yeyp9+Yaxp9KXr8ueeh+5l0tERCGGaZdLRERMQwI9IqIQCfSIiEIk0COmQdK8ue4hYocEeuwyJJ0t6T09z/9S0hmS3ivpFkkbJH2wZ/rlkm6VdJekVT3jt0n6W0m3A0fN8mJETCqBHruSC4G3AEjaDTgJ+CFwEHAEcChwuKRfq+d/u+3DgVHgdEn71uNfBKy1fYjtG2dzASJ2ZpiuFI2YUa6uyNsi6TBgP+A24F8Dv1UPQ/WN8gcBN1CF+G/X45fW47cATwOfn83eI5pIoMeu5nzgFGB/qi32Y4C/tv0/e2eqL8X+TeAo249Luh7Yo578pO2nZ6vhiKayyyV2NV8EVlJtmX+1frxd0kIASYsl/TywN/BwHeavAI6cq4YjmsoWeuxSbP9E0nXAI/VW9tWSXgl8QxLANuAPgauA/yRpI9VtTm+eq54jmsql/7FLqQ+GrgPeZPvbc91PRJeyyyV2GZJeBWwCvpYwjxJlCz0iohDZQo+IKEQCPSKiEAn0iIhCJNAjIgqRQI+IKEQCPSKiEP8fHkLJgzUlC1cAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}