zomato_banglore_analysis2022.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D7RI4Boz4rn-"
      },
      "source": [
        "# Zomato Banglore Analysis-2022\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Z_26UDtN4roC",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dd2456b2-b37c-42f0-9c24-c2b5814bdef1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/68.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m30.7/68.6 kB\u001b[0m \u001b[31m787.9 kB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m68.6/68.6 kB\u001b[0m \u001b[31m885.8 kB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for uuid (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "!pip install jovian --upgrade --q\n",
        "import jovian\n",
        "jovian.set_project('us-accident-analysis')\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Zomato Banglore Analysis-2022"
      ],
      "metadata": {
        "id": "kTX-13tJIpLt"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Download the data\n",
        " 1. Choose a real-world large dataset\n",
        " 2. Open datasets by providing the kaggle dataset url\n"
      ],
      "metadata": {
        "id": "k-8xtOKDMAxo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install opendatasets --upgrade --quiet"
      ],
      "metadata": {
        "id": "bPyHdFG4I2v2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import opendatasets as od\n",
        "download_url='https://www.kaggle.com/datasets/vora1011/zomato-bangalore-restaurants-2022'\n",
        "od.download(download_url)"
      ],
      "metadata": {
        "id": "vLXoRYb5J_KF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data_filename='./zomato-bangalore-restaurants-2022/BangaloreZomatoData.csv'"
      ],
      "metadata": {
        "id": "Da4dFkTQJ_Gq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Data Preparation and Cleaning\n",
        "\n",
        "1.Load the file using Pandas\n",
        "\n",
        "2.Look at some information about the data & the columns\n",
        "\n",
        "3.Fix any missing or incorrect values"
      ],
      "metadata": {
        "id": "HDLzG_PbJEbT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd"
      ],
      "metadata": {
        "id": "_PSr07d5JIaU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df= pd.read_csv(data_filename)"
      ],
      "metadata": {
        "id": "i4zu_vx8JIWv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ajsTlBG2JIT1",
        "outputId": "fbb2ce92-7879-4041-ab09-ed5bdb189265"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       Name  \\\n",
              "0            Sri Udupi Park   \n",
              "1             Meghana Foods   \n",
              "2      Donne Biriyani House   \n",
              "3            Domino's Pizza   \n",
              "4                       KFC   \n",
              "...                     ...   \n",
              "8918    New SBFC Food Funda   \n",
              "8919      Kudla - Coraltree   \n",
              "8920           Bangkok Bowl   \n",
              "8921        Yuan Restaurant   \n",
              "8922  Amma's Biryani & Rice   \n",
              "\n",
              "                                                    URL  \\\n",
              "0     https://www.zomato.com/bangalore/sri-udupi-par...   \n",
              "1     https://www.zomato.com/bangalore/meghana-foods...   \n",
              "2     https://www.zomato.com/bangalore/donne-biriyan...   \n",
              "3     https://www.zomato.com/bangalore/dominos-pizza...   \n",
              "4      https://www.zomato.com/bangalore/kfc-indiranagar   \n",
              "...                                                 ...   \n",
              "8918  https://www.zomato.com/bangalore/new-sbfc-food...   \n",
              "8919  https://www.zomato.com/bangalore/kudla-coraltr...   \n",
              "8920  https://www.zomato.com/bangalore/bangkok-bowl-...   \n",
              "8921  https://www.zomato.com/bangalore/yuan-restaura...   \n",
              "8922  https://www.zomato.com/bangalore/ammas-biryani...   \n",
              "\n",
              "                                               Cuisines  \\\n",
              "0     South Indian, North Indian, Chinese, Street Fo...   \n",
              "1                Biryani, Andhra, North Indian, Seafood   \n",
              "2                                               Biryani   \n",
              "3                            Pizza, Fast Food, Desserts   \n",
              "4       Burger, Fast Food, Biryani, Desserts, Beverages   \n",
              "...                                                 ...   \n",
              "8918                                          Fast Food   \n",
              "8919                    Seafood, Mangalorean, Beverages   \n",
              "8920                                     Salad, Chinese   \n",
              "8921                                      Thai, Chinese   \n",
              "8922                                 Biryani, Fast Food   \n",
              "\n",
              "                                Area                               Timing  \\\n",
              "0             Indiranagar, Bangalore                   7am – 11pm (Today)   \n",
              "1             Indiranagar, Bangalore                      Opens at 6:30pm   \n",
              "2             Indiranagar, Bangalore                  11am – 11pm (Today)   \n",
              "3             Indiranagar, Bangalore         10:57am – 12midnight (Today)   \n",
              "4             Indiranagar, Bangalore                  11am – 11pm (Today)   \n",
              "...                              ...                                  ...   \n",
              "8918          Frazer Town, Bangalore             4:30pm – 11:45pm (Today)   \n",
              "8919  Coraltree, RT Nagar, Bangalore                12noon – 10pm (Today)   \n",
              "8920         Kammanahalli, Bangalore  12noon – 3pm, 6:30pm – 10pm (Today)   \n",
              "8921           HBR Layout, Bangalore                         Opens at 7pm   \n",
              "8922         Kammanahalli, Bangalore            11:30am – 11:30pm (Today)   \n",
              "\n",
              "                                           Full_Address    PhoneNumber  \\\n",
              "0     273, Monalisa, 6th Main, 100 Feet Road, Indira...  +919945977774   \n",
              "1     544, First Floor, CMH Road, Near Indiranagar M...  +918041135050   \n",
              "2     8/ 9, 17th F Cross, 2nd Stage, Indiranagar, Ba...  +918861564169   \n",
              "3     308, 2nd Stage, 100 Feet Road, Indiranagar, Ba...  +919916465787   \n",
              "4               38/1A, CMH Road, Indiranagar, Bangalore  +919513700040   \n",
              "...                                                 ...            ...   \n",
              "8918  667/1, 9th Cross, Periyan Nagar, Devara Jeevan...  +916291201792   \n",
              "8919  Coraltree, 16, MLA Layout, RT Nagar Main Road,...  +917760978681   \n",
              "8920  403, 3A Cross, Mariayappa Road, Kammanahalli, ...  +919739999170   \n",
              "8921  2&3, Renu Arcade, 1st Stage, 2nd Block, 80 Fee...  +919901047070   \n",
              "8922  21, Ground Floor, Praise The Lord Mansion, Neh...  +917349446837   \n",
              "\n",
              "      IsHomeDelivery  isTakeaway  isIndoorSeating  isVegOnly Dinner Ratings  \\\n",
              "0                  1           1                1          1            4.0   \n",
              "1                  1           1                1          0            4.3   \n",
              "2                  1           1                1          0            3.9   \n",
              "3                  1           1                1          0            2.4   \n",
              "4                  1           1                1          0            2.8   \n",
              "...              ...         ...              ...        ...            ...   \n",
              "8918               1           1                1          0            3.7   \n",
              "8919               1           1                0          0            3.9   \n",
              "8920               1           1                0          0              -   \n",
              "8921               1           1                1          0            3.8   \n",
              "8922               1           1                1          0            3.9   \n",
              "\n",
              "      Dinner Reviews Delivery Ratings  Delivery Reviews  \\\n",
              "0                462              4.1             16000   \n",
              "1               1654              4.3             28600   \n",
              "2                411              3.5             33200   \n",
              "3                422              4.4              8205   \n",
              "4                673              4.0              9148   \n",
              "...              ...              ...               ...   \n",
              "8918              14              4.0                48   \n",
              "8919             348              4.3               564   \n",
              "8920               0              3.7               254   \n",
              "8921             188              3.5              3169   \n",
              "8922               6                -                18   \n",
              "\n",
              "                   KnownFor  \\\n",
              "0                       NaN   \n",
              "1     Spicy Chicken Biryani   \n",
              "2                       NaN   \n",
              "3                       NaN   \n",
              "4                       NaN   \n",
              "...                     ...   \n",
              "8918                    NaN   \n",
              "8919                    NaN   \n",
              "8920                    NaN   \n",
              "8921                    NaN   \n",
              "8922                    NaN   \n",
              "\n",
              "                                          PopularDishes  \\\n",
              "0     Filtered Coffee, Sambhar, Pav Bhaji, Gobi Manc...   \n",
              "1     Authentic Hyderabadi Biryani, Paneer Biryani, ...   \n",
              "2                                                   NaN   \n",
              "3     Barbeque Chicken Pizza, Choco Lava Cake, White...   \n",
              "4      Fiery Chicken, Chicken Popcorn, Rice Bowl, Wings   \n",
              "...                                                 ...   \n",
              "8918                                                NaN   \n",
              "8919  Neer Dosa, Chicken Ghee Roast, Seafood, Crab, ...   \n",
              "8920                                                NaN   \n",
              "8921                                                NaN   \n",
              "8922                                                NaN   \n",
              "\n",
              "                                         PeopleKnownFor  AverageCost  \n",
              "0     Economical, Prompt Service, Hygiene, Quality F...          450  \n",
              "1     Boneless Chicken Biryani, Ample Seating Area, ...          700  \n",
              "2     Great Recommendations, Nice Taste, Great Ambia...          300  \n",
              "3     Value for Money, Packaging, Staff, Ambience, Food          400  \n",
              "4     Elegantly Decorated, Great Recommendations, Vi...          400  \n",
              "...                                                 ...          ...  \n",
              "8918  Cheap and Affordable, Served Quickly, Fresh Fo...          300  \n",
              "8919  Authentic, Cashless Payments, Preparation, Dec...         1200  \n",
              "8920  Contactless Delivery, Portion, Great Portions,...          300  \n",
              "8921  Calm, Prompt Service, Portions, Spicy, Delicio...          400  \n",
              "8922                                                NaN          300  \n",
              "\n",
              "[8923 rows x 19 columns]"
            ],
            "text/html": [
              "\n",
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              "    <div>\n",
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              "\n",
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              "    .dataframe thead th {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Name</th>\n",
              "      <th>URL</th>\n",
              "      <th>Cuisines</th>\n",
              "      <th>Area</th>\n",
              "      <th>Timing</th>\n",
              "      <th>Full_Address</th>\n",
              "      <th>PhoneNumber</th>\n",
              "      <th>IsHomeDelivery</th>\n",
              "      <th>isTakeaway</th>\n",
              "      <th>isIndoorSeating</th>\n",
              "      <th>isVegOnly</th>\n",
              "      <th>Dinner Ratings</th>\n",
              "      <th>Dinner Reviews</th>\n",
              "      <th>Delivery Ratings</th>\n",
              "      <th>Delivery Reviews</th>\n",
              "      <th>KnownFor</th>\n",
              "      <th>PopularDishes</th>\n",
              "      <th>PeopleKnownFor</th>\n",
              "      <th>AverageCost</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Sri Udupi Park</td>\n",
              "      <td>https://www.zomato.com/bangalore/sri-udupi-par...</td>\n",
              "      <td>South Indian, North Indian, Chinese, Street Fo...</td>\n",
              "      <td>Indiranagar, Bangalore</td>\n",
              "      <td>7am – 11pm (Today)</td>\n",
              "      <td>273, Monalisa, 6th Main, 100 Feet Road, Indira...</td>\n",
              "      <td>+919945977774</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4.0</td>\n",
              "      <td>462</td>\n",
              "      <td>4.1</td>\n",
              "      <td>16000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Filtered Coffee, Sambhar, Pav Bhaji, Gobi Manc...</td>\n",
              "      <td>Economical, Prompt Service, Hygiene, Quality F...</td>\n",
              "      <td>450</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Meghana Foods</td>\n",
              "      <td>https://www.zomato.com/bangalore/meghana-foods...</td>\n",
              "      <td>Biryani, Andhra, North Indian, Seafood</td>\n",
              "      <td>Indiranagar, Bangalore</td>\n",
              "      <td>Opens at 6:30pm</td>\n",
              "      <td>544, First Floor, CMH Road, Near Indiranagar M...</td>\n",
              "      <td>+918041135050</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>4.3</td>\n",
              "      <td>1654</td>\n",
              "      <td>4.3</td>\n",
              "      <td>28600</td>\n",
              "      <td>Spicy Chicken Biryani</td>\n",
              "      <td>Authentic Hyderabadi Biryani, Paneer Biryani, ...</td>\n",
              "      <td>Boneless Chicken Biryani, Ample Seating Area, ...</td>\n",
              "      <td>700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Donne Biriyani House</td>\n",
              "      <td>https://www.zomato.com/bangalore/donne-biriyan...</td>\n",
              "      <td>Biryani</td>\n",
              "      <td>Indiranagar, Bangalore</td>\n",
              "      <td>11am – 11pm (Today)</td>\n",
              "      <td>8/ 9, 17th F Cross, 2nd Stage, Indiranagar, Ba...</td>\n",
              "      <td>+918861564169</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.9</td>\n",
              "      <td>411</td>\n",
              "      <td>3.5</td>\n",
              "      <td>33200</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Great Recommendations, Nice Taste, Great Ambia...</td>\n",
              "      <td>300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Domino's Pizza</td>\n",
              "      <td>https://www.zomato.com/bangalore/dominos-pizza...</td>\n",
              "      <td>Pizza, Fast Food, Desserts</td>\n",
              "      <td>Indiranagar, Bangalore</td>\n",
              "      <td>10:57am – 12midnight (Today)</td>\n",
              "      <td>308, 2nd Stage, 100 Feet Road, Indiranagar, Ba...</td>\n",
              "      <td>+919916465787</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2.4</td>\n",
              "      <td>422</td>\n",
              "      <td>4.4</td>\n",
              "      <td>8205</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Barbeque Chicken Pizza, Choco Lava Cake, White...</td>\n",
              "      <td>Value for Money, Packaging, Staff, Ambience, Food</td>\n",
              "      <td>400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>KFC</td>\n",
              "      <td>https://www.zomato.com/bangalore/kfc-indiranagar</td>\n",
              "      <td>Burger, Fast Food, Biryani, Desserts, Beverages</td>\n",
              "      <td>Indiranagar, Bangalore</td>\n",
              "      <td>11am – 11pm (Today)</td>\n",
              "      <td>38/1A, CMH Road, Indiranagar, Bangalore</td>\n",
              "      <td>+919513700040</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2.8</td>\n",
              "      <td>673</td>\n",
              "      <td>4.0</td>\n",
              "      <td>9148</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Fiery Chicken, Chicken Popcorn, Rice Bowl, Wings</td>\n",
              "      <td>Elegantly Decorated, Great Recommendations, Vi...</td>\n",
              "      <td>400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8918</th>\n",
              "      <td>New SBFC Food Funda</td>\n",
              "      <td>https://www.zomato.com/bangalore/new-sbfc-food...</td>\n",
              "      <td>Fast Food</td>\n",
              "      <td>Frazer Town, Bangalore</td>\n",
              "      <td>4:30pm – 11:45pm (Today)</td>\n",
              "      <td>667/1, 9th Cross, Periyan Nagar, Devara Jeevan...</td>\n",
              "      <td>+916291201792</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.7</td>\n",
              "      <td>14</td>\n",
              "      <td>4.0</td>\n",
              "      <td>48</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Cheap and Affordable, Served Quickly, Fresh Fo...</td>\n",
              "      <td>300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8919</th>\n",
              "      <td>Kudla - Coraltree</td>\n",
              "      <td>https://www.zomato.com/bangalore/kudla-coraltr...</td>\n",
              "      <td>Seafood, Mangalorean, Beverages</td>\n",
              "      <td>Coraltree, RT Nagar, Bangalore</td>\n",
              "      <td>12noon – 10pm (Today)</td>\n",
              "      <td>Coraltree, 16, MLA Layout, RT Nagar Main Road,...</td>\n",
              "      <td>+917760978681</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3.9</td>\n",
              "      <td>348</td>\n",
              "      <td>4.3</td>\n",
              "      <td>564</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Neer Dosa, Chicken Ghee Roast, Seafood, Crab, ...</td>\n",
              "      <td>Authentic, Cashless Payments, Preparation, Dec...</td>\n",
              "      <td>1200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8920</th>\n",
              "      <td>Bangkok Bowl</td>\n",
              "      <td>https://www.zomato.com/bangalore/bangkok-bowl-...</td>\n",
              "      <td>Salad, Chinese</td>\n",
              "      <td>Kammanahalli, Bangalore</td>\n",
              "      <td>12noon – 3pm, 6:30pm – 10pm (Today)</td>\n",
              "      <td>403, 3A Cross, Mariayappa Road, Kammanahalli, ...</td>\n",
              "      <td>+919739999170</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-</td>\n",
              "      <td>0</td>\n",
              "      <td>3.7</td>\n",
              "      <td>254</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Contactless Delivery, Portion, Great Portions,...</td>\n",
              "      <td>300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8921</th>\n",
              "      <td>Yuan Restaurant</td>\n",
              "      <td>https://www.zomato.com/bangalore/yuan-restaura...</td>\n",
              "      <td>Thai, Chinese</td>\n",
              "      <td>HBR Layout, Bangalore</td>\n",
              "      <td>Opens at 7pm</td>\n",
              "      <td>2&amp;3, Renu Arcade, 1st Stage, 2nd Block, 80 Fee...</td>\n",
              "      <td>+919901047070</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.8</td>\n",
              "      <td>188</td>\n",
              "      <td>3.5</td>\n",
              "      <td>3169</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Calm, Prompt Service, Portions, Spicy, Delicio...</td>\n",
              "      <td>400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8922</th>\n",
              "      <td>Amma's Biryani &amp; Rice</td>\n",
              "      <td>https://www.zomato.com/bangalore/ammas-biryani...</td>\n",
              "      <td>Biryani, Fast Food</td>\n",
              "      <td>Kammanahalli, Bangalore</td>\n",
              "      <td>11:30am – 11:30pm (Today)</td>\n",
              "      <td>21, Ground Floor, Praise The Lord Mansion, Neh...</td>\n",
              "      <td>+917349446837</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3.9</td>\n",
              "      <td>6</td>\n",
              "      <td>-</td>\n",
              "      <td>18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>300</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8923 rows × 19 columns</p>\n",
              "</div>\n",
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              "\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "\n",
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            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4ljmp-lTJIRL",
        "outputId": "b5293350-f2be-4a5e-b4f8-01b8790fd39c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Name', 'URL', 'Cuisines', 'Area', 'Timing', 'Full_Address',\n",
              "       'PhoneNumber', 'IsHomeDelivery', 'isTakeaway', 'isIndoorSeating',\n",
              "       'isVegOnly', 'Dinner Ratings', 'Dinner Reviews', 'Delivery Ratings',\n",
              "       'Delivery Reviews', 'KnownFor', 'PopularDishes', 'PeopleKnownFor',\n",
              "       'AverageCost'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HoleUdwoU0Eg",
        "outputId": "aa582073-f596-4a18-83a3-105315560399"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 8923 entries, 0 to 8922\n",
            "Data columns (total 19 columns):\n",
            " #   Column            Non-Null Count  Dtype \n",
            "---  ------            --------------  ----- \n",
            " 0   Name              8923 non-null   object\n",
            " 1   URL               8923 non-null   object\n",
            " 2   Cuisines          8923 non-null   object\n",
            " 3   Area              8923 non-null   object\n",
            " 4   Timing            5820 non-null   object\n",
            " 5   Full_Address      8923 non-null   object\n",
            " 6   PhoneNumber       8923 non-null   object\n",
            " 7   IsHomeDelivery    8923 non-null   int64 \n",
            " 8   isTakeaway        8923 non-null   int64 \n",
            " 9   isIndoorSeating   8923 non-null   int64 \n",
            " 10  isVegOnly         8923 non-null   int64 \n",
            " 11  Dinner Ratings    8923 non-null   object\n",
            " 12  Dinner Reviews    8923 non-null   int64 \n",
            " 13  Delivery Ratings  8923 non-null   object\n",
            " 14  Delivery Reviews  8923 non-null   int64 \n",
            " 15  KnownFor          258 non-null    object\n",
            " 16  PopularDishes     1535 non-null   object\n",
            " 17  PeopleKnownFor    3484 non-null   object\n",
            " 18  AverageCost       8923 non-null   int64 \n",
            "dtypes: int64(7), object(12)\n",
            "memory usage: 1.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "k3FqYNceVEvL",
        "outputId": "1b463576-da26-47ae-b252-b5a325da7da5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       IsHomeDelivery   isTakeaway  isIndoorSeating    isVegOnly  \\\n",
              "count     8923.000000  8923.000000      8923.000000  8923.000000   \n",
              "mean         0.997871     0.660092         0.442676     0.072285   \n",
              "std          0.046098     0.473704         0.496731     0.258974   \n",
              "min          0.000000     0.000000         0.000000     0.000000   \n",
              "25%          1.000000     0.000000         0.000000     0.000000   \n",
              "50%          1.000000     1.000000         0.000000     0.000000   \n",
              "75%          1.000000     1.000000         1.000000     0.000000   \n",
              "max          1.000000     1.000000         1.000000     1.000000   \n",
              "\n",
              "       Dinner Reviews  Delivery Reviews  AverageCost  \n",
              "count     8923.000000       8923.000000  8923.000000  \n",
              "mean       157.106018       2014.709403   340.225261  \n",
              "std        731.834227       5524.430542   308.338943  \n",
              "min          0.000000          0.000000    50.000000  \n",
              "25%          0.000000         42.000000   150.000000  \n",
              "50%          0.000000        279.000000   250.000000  \n",
              "75%         43.000000       1493.500000   400.000000  \n",
              "max      26500.000000      99600.000000  4200.000000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c4afce3a-92cf-4a95-87ca-a1560c388f47\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>IsHomeDelivery</th>\n",
              "      <th>isTakeaway</th>\n",
              "      <th>isIndoorSeating</th>\n",
              "      <th>isVegOnly</th>\n",
              "      <th>Dinner Reviews</th>\n",
              "      <th>Delivery Reviews</th>\n",
              "      <th>AverageCost</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>8923.000000</td>\n",
              "      <td>8923.000000</td>\n",
              "      <td>8923.000000</td>\n",
              "      <td>8923.000000</td>\n",
              "      <td>8923.000000</td>\n",
              "      <td>8923.000000</td>\n",
              "      <td>8923.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.997871</td>\n",
              "      <td>0.660092</td>\n",
              "      <td>0.442676</td>\n",
              "      <td>0.072285</td>\n",
              "      <td>157.106018</td>\n",
              "      <td>2014.709403</td>\n",
              "      <td>340.225261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.046098</td>\n",
              "      <td>0.473704</td>\n",
              "      <td>0.496731</td>\n",
              "      <td>0.258974</td>\n",
              "      <td>731.834227</td>\n",
              "      <td>5524.430542</td>\n",
              "      <td>308.338943</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\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>50.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\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>42.000000</td>\n",
              "      <td>150.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>279.000000</td>\n",
              "      <td>250.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>43.000000</td>\n",
              "      <td>1493.500000</td>\n",
              "      <td>400.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>26500.000000</td>\n",
              "      <td>99600.000000</td>\n",
              "      <td>4200.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c4afce3a-92cf-4a95-87ca-a1560c388f47')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-c4afce3a-92cf-4a95-87ca-a1560c388f47 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-c4afce3a-92cf-4a95-87ca-a1560c388f47');\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",
              "\n",
              "\n",
              "<div id=\"df-8246ffed-96ee-4e23-b903-e0f6e5049108\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8246ffed-96ee-4e23-b903-e0f6e5049108')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8246ffed-96ee-4e23-b903-e0f6e5049108 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* The average cost goes from 50 bucks and goes all the way upto 4200 and the average of average cost is 340 bucks.\n",
        "* The people who dine-in don't leave as much reviews.\n"
      ],
      "metadata": {
        "id": "cDu53ccs2lOo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "######Find the number of columns with only numerics"
      ],
      "metadata": {
        "id": "vYHrXy7YXe0n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']\n",
        "numeric_df=df.select_dtypes(include=numerics)\n",
        "len(numeric_df.columns)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PuFUcXN1VHjt",
        "outputId": "0dfd74c8-4aa1-496a-9ff0-d61cd28380c8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "7"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#####Percentage of missing values per column"
      ],
      "metadata": {
        "id": "UqzdQCoqXUBr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "missing_percentage=df.isna().sum().sort_values(ascending=False)/len(df)\n",
        "missing_percentage"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VxeZC3Z3VHX8",
        "outputId": "d82df818-999a-4917-afc8-83a3af9f0152"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "KnownFor            0.971086\n",
              "PopularDishes       0.827973\n",
              "PeopleKnownFor      0.609548\n",
              "Timing              0.347753\n",
              "Name                0.000000\n",
              "isVegOnly           0.000000\n",
              "Delivery Reviews    0.000000\n",
              "Delivery Ratings    0.000000\n",
              "Dinner Reviews      0.000000\n",
              "Dinner Ratings      0.000000\n",
              "isIndoorSeating     0.000000\n",
              "URL                 0.000000\n",
              "isTakeaway          0.000000\n",
              "IsHomeDelivery      0.000000\n",
              "PhoneNumber         0.000000\n",
              "Full_Address        0.000000\n",
              "Area                0.000000\n",
              "Cuisines            0.000000\n",
              "AverageCost         0.000000\n",
              "dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "type(missing_percentage)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t9nHf8xAYG4G",
        "outputId": "44d8bd52-87ac-49ea-f7fe-3d71f869b862"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.series.Series"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Remove columns that you dont want to use\n",
        "\n",
        "[Remove columns that have missing values more than half]"
      ],
      "metadata": {
        "id": "dM0-ikCbbkaB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "missing_percentage[missing_percentage!=0].plot(kind='barh')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "94jDBnMSVEf7",
        "outputId": "c1e7d8c0-e702-4ee9-fb10-83adaea391f8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Exploratory Analysis and Visualization\n",
        "\n",
        "1.Go through columns\n",
        "\n",
        "Columns that will be  analyzed are:\n",
        "\n",
        " 1.Name\n",
        "\n",
        " 2.Area\n",
        "\n",
        " 3.Cuisine\n",
        "\n",
        " 4.Reviews\n",
        "\n",
        " 5.Ratings"
      ],
      "metadata": {
        "id": "1pWt55EhJHl2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pSOl8jlYJPzI",
        "outputId": "0df83803-89d3-4f92-f28e-15a36decee5a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Name', 'URL', 'Cuisines', 'Area', 'Timing', 'Full_Address',\n",
              "       'PhoneNumber', 'IsHomeDelivery', 'isTakeaway', 'isIndoorSeating',\n",
              "       'isVegOnly', 'Dinner Ratings', 'Dinner Reviews', 'Delivery Ratings',\n",
              "       'Delivery Reviews', 'KnownFor', 'PopularDishes', 'PeopleKnownFor',\n",
              "       'AverageCost'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.Name\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5vN3nR-EJQb1",
        "outputId": "b28cdd1f-491d-4d13-913c-55cd067dc518"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0              Sri Udupi Park\n",
              "1               Meghana Foods\n",
              "2        Donne Biriyani House\n",
              "3              Domino's Pizza\n",
              "4                         KFC\n",
              "                ...          \n",
              "8918      New SBFC Food Funda\n",
              "8919        Kudla - Coraltree\n",
              "8920             Bangkok Bowl\n",
              "8921          Yuan Restaurant\n",
              "8922    Amma's Biryani & Rice\n",
              "Name: Name, Length: 8923, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "name=df.Name.unique()\n",
        "len(name)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gmVk5_hkJQYQ",
        "outputId": "894c5bb2-d7ba-4ea1-cb81-0a2e307e78fd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5242"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "name[:100]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GTyAtbLV5W_Q",
        "outputId": "adaccd0f-520f-42f3-9b59-1c5856d109fd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Sri Udupi Park', 'Meghana Foods', 'Donne Biriyani House',\n",
              "       \"Domino's Pizza\", 'KFC', 'The Congee Concept', 'Burger King',\n",
              "       \"McDonald's\", \"Mani's Dum Biryani\", 'Madras Meal Company',\n",
              "       'ZAZA 22 Spice Biryani', 'New Alameen Restaurant',\n",
              "       'Ovenstory Pizza', 'Biryani Trip', 'FreshMenu',\n",
              "       'BOX8 - Desi Meals', 'Nagarjuna', 'Natural Ice Cream',\n",
              "       'Bucket Biryani', 'Rotti Walla', 'Green Pepper', 'Punjabi Dhaba',\n",
              "       'Burma Burma', 'Pizza Hut', 'Leon Grill', 'Onesta', 'Paakashala',\n",
              "       'M.M.A Kabab and Rolls', 'Ayodhya Vihar Pure Veg', 'Red Kitchen',\n",
              "       'Nandhana Palace', 'A2B - Adyar Ananda Bhavan', 'Andhra Gunpowder',\n",
              "       'Nandhini Deluxe', 'Kanti Sweets', 'Dindigul Thalappakatti',\n",
              "       'Five Star Chicken', 'Kritunga Restaurant', 'Kabab Magic',\n",
              "       'Polar Bear', 'Biriyani Zone', 'Paradise Biryani',\n",
              "       'Hyderabad Biryaani House', 'Anand Sweets And Savouries', 'Subway',\n",
              "       'Sri Udupi Food Hub', 'Corner House Ice Creams', 'Behrouz Biryani',\n",
              "       'MOJO Pizza - 2X Toppings', 'EatFit', \"Amma's Pastries\",\n",
              "       'Sharief Bhai', 'Beijing Bites', 'Imperial Restaurant',\n",
              "       'WOW! Momo', 'Al Daaz', 'New Udupi Grand', 'Anjappar',\n",
              "       'Barbeque Nation', 'Faasos - Wraps & Rolls',\n",
              "       'Kwality Wall’s Frozen Dessert and Ice Cream Shop', 'CakeZone',\n",
              "       'Hari Super Sandwich', \"Kapoor's Cafe\", 'Sardarji Londonwaley',\n",
              "       \"La Pino'z Pizza\", 'Potful - Claypot Biryanis', 'Lassi Shop',\n",
              "       'California Burrito', 'Paratha Envy', \"Glen's Bakehouse\",\n",
              "       'NIC - Natural Ice Creams', 'Royal Restaurant',\n",
              "       'New Krishna Sagar', 'Ambur Star Briyani Since 1890',\n",
              "       'Call Me Chow', 'Andhra Biryanis', 'Falahaar & Kota Kachori',\n",
              "       'Ludos Pizza', 'WarmOven Cake & Desserts',\n",
              "       'LunchBox - Meals and Thalis', 'Goli Vada Pav', 'Meat And Eat',\n",
              "       \"Adiga's\", 'Rahhams', 'Great Indian Khichdi',\n",
              "       'Ambur Biryani Point', 'The Punjabi Rasoi', 'Smoor',\n",
              "       'Krispy Kreme', 'Savoury Express', 'Pathaan Sir',\n",
              "       'Biryani By Kilo', 'Thalaivars Biryani', 'Big Bowl Company',\n",
              "       'Shanthi Sagar', 'New Udupi Garden', 'Cakewala', 'Baskin Robbins',\n",
              "       'Chulha Chauki Da Dhaba'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "name_rest=df.Name.value_counts()\n",
        "name_rest[:18]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ysN8RYnEkdg5",
        "outputId": "8fdd63e7-2a6a-4ec8-84fc-8c852444eeaf"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Five Star Chicken                                   29\n",
              "Snack House                                         27\n",
              "Kwality Wall’s Frozen Dessert and Ice Cream Shop    27\n",
              "Momo Monk                                           25\n",
              "Lassi Shop                                          23\n",
              "Pizza Hut                                           23\n",
              "Chai Point                                          22\n",
              "Kanti Sweets                                        22\n",
              "McDonald's                                          21\n",
              "BigBites                                            21\n",
              "Subway                                              21\n",
              "Cafe Coffee Day                                     20\n",
              "Polar Bear                                          20\n",
              "WOW! Momo                                           20\n",
              "Bullet Biryani                                      20\n",
              "NH1 Bowls - Highway To North                        20\n",
              "KFC                                                 20\n",
              "Ovenstory Pizza                                     19\n",
              "Name: Name, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "name_rest[:20].plot(kind='barh')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "iKOe6OpcnEu0",
        "outputId": "1f44cd47-1fe8-4998-c113-b8ac318973bd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 64
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Show the distribution of restaurants in different areas by histogram**"
      ],
      "metadata": {
        "id": "nbE49cCxntWI"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import seaborn as sns\n",
        "sns.set_style(\"darkgrid\")\n",
        "\n"
      ],
      "metadata": {
        "id": "JackSPROnErX"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(name_rest,log_scale=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "hwrQ2IAunEot",
        "outputId": "b046f699-9668-447a-d085-ab8591145b1f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Name', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 76
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "high_rest_c=name_rest[name_rest>=20]\n",
        "low_rest_c=name_rest[name_rest<20]\n",
        "len(high_rest_c)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3woGSWZTJQVP",
        "outputId": "23ec6c7e-d983-43b4-c18d-86bf9f0153de"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "17"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(high_rest_c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "vbSKqaEkneQa",
        "outputId": "a519fe9a-fbe0-4b17-b8ab-bca34ae46e51"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Name', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 79
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(low_rest_c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 467
        },
        "id": "ExWNY93Ipzhv",
        "outputId": "97f2d4ee-be5c-4bac-ec15-ca6859423e30"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Name', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 80
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(name_rest[name_rest==1])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n6MlFAWbpzeM",
        "outputId": "3ad2af3c-4dcc-4852-c7e5-303c24e15ec4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4250"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.Area\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tUNcfoRdpzbU",
        "outputId": "d9d2a588-1947-4001-9633-03b3e8af6a83"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0               Indiranagar, Bangalore\n",
              "1               Indiranagar, Bangalore\n",
              "2               Indiranagar, Bangalore\n",
              "3               Indiranagar, Bangalore\n",
              "4               Indiranagar, Bangalore\n",
              "                     ...              \n",
              "8918            Frazer Town, Bangalore\n",
              "8919    Coraltree, RT Nagar, Bangalore\n",
              "8920           Kammanahalli, Bangalore\n",
              "8921             HBR Layout, Bangalore\n",
              "8922           Kammanahalli, Bangalore\n",
              "Name: Area, Length: 8923, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "area=df.Area.unique()\n",
        "len(area)"
      ],
      "metadata": {
        "id": "vag-jCBvpzYd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0c884ab0-c584-42dd-d2a6-370a39f35d71"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "169"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "area[:100]"
      ],
      "metadata": {
        "id": "Y_mJN3EFpzVQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cda8e6e4-1788-4ac5-9ece-df3f0f4f7094"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Indiranagar, Bangalore', 'Ulsoor, Bangalore',\n",
              "       'Jeevan Bhima Nagar, Bangalore', 'Thippasandra, Bangalore',\n",
              "       'Brigade Road, Bangalore', 'Old Madras Road, Bangalore',\n",
              "       'Frazer Town, Bangalore', 'KR Puram, Bangalore',\n",
              "       'Marathahalli, Bangalore', 'Shanti Nagar, Bangalore',\n",
              "       'Richmond Road, Bangalore', 'CV Raman Nagar, Bangalore',\n",
              "       'HSR, Bangalore', 'Old Airport Road, Bangalore',\n",
              "       'Domlur, Bangalore', 'Kalyan Nagar, Bangalore',\n",
              "       'Kammanahalli, Bangalore', 'Shivajinagar, Bangalore',\n",
              "       'Koramangala 1st Block, Bangalore', 'Brookefield, Bangalore',\n",
              "       'Koramangala 6th Block, Bangalore', 'Whitefield, Bangalore',\n",
              "       'MG Road, Bangalore', 'Koramangala 3rd Block, Bangalore',\n",
              "       'St. Marks Road, Bangalore',\n",
              "       'Garuda Mall, Magrath Road, Bangalore', 'Majestic, Bangalore',\n",
              "       'Kaggadasapura, Bangalore', 'Church Street, Bangalore',\n",
              "       'KBR Mall, Marathahalli, Bangalore', 'Ejipura, Bangalore',\n",
              "       'Infantry Road, Bangalore', 'Residency Road, Bangalore',\n",
              "       'Banaswadi, Bangalore', 'Koramangala 5th Block, Bangalore',\n",
              "       'Koramangala 7th Block, Bangalore', 'Commercial Street, Bangalore',\n",
              "       'BTM, Bangalore', 'Cunningham Road, Bangalore',\n",
              "       'Koramangala 4th Block, Bangalore', 'Race Course Road, Bangalore',\n",
              "       'Tamarind Hospitality, Bangalore', 'UB City, Bangalore',\n",
              "       'Lavelle Road, Bangalore',\n",
              "       'Gopalan Signature Mall, Old Madras Road, Bangalore',\n",
              "       'Vasanth Nagar, Bangalore', 'Koramangala 8th Block, Bangalore',\n",
              "       '5th Avenue, Brigade Road, Bangalore', 'RT Nagar, Bangalore',\n",
              "       'WelcomHotel By ITC Hotels, Richmond Road, Bangalore',\n",
              "       'Sadashiv Nagar, Bangalore', 'Rammurthy Nagar, Bangalore',\n",
              "       'HBR Layout, Bangalore',\n",
              "       'Phoenix Marketcity Bangalore, Whitefield, Bangalore',\n",
              "       'Richmond Town, Bangalore', 'Yeshwantpur, Bangalore',\n",
              "       'Bellandur, Bangalore', 'Kadubeesanahalli, Bangalore',\n",
              "       'Brookefields Mall, Brookefield, Bangalore',\n",
              "       'Varthur Main Road, Whitefield, Bangalore',\n",
              "       'Ascendas Park Square, Whitefield, Bangalore',\n",
              "       'Forum Shantiniketan Mall, Whitefield, Bangalore',\n",
              "       'Virginia Mall, Whitefield, Bangalore', 'Sarjapur Road, Bangalore',\n",
              "       'VR Bengaluru, Whitefield, Bangalore',\n",
              "       'Forum Neighbourhood Mall, Whitefield, Bangalore',\n",
              "       'ITPL Main Road, Whitefield, Bangalore',\n",
              "       'Windmills Craftworks, Bangalore',\n",
              "       'RMZ Ecoworld, Bellandur, Bangalore',\n",
              "       '1 MG Road Mall, MG Road, Bangalore', 'Bommanahalli, Bangalore',\n",
              "       'Yelahanka, Bangalore', 'Hosur Road, Bangalore',\n",
              "       'Inorbit Mall, Whitefield, Bangalore',\n",
              "       'The Den, Whitefield, Bangalore',\n",
              "       'Radisson Blu, Marathahalli, Bangalore',\n",
              "       'Grand Mercure, Bangalore',\n",
              "       'Royal Orchid Suites, Whitefield, Bangalore',\n",
              "       'Aloft Hotel, Whitefield, Bangalore',\n",
              "       'Four Points by Sheraton Bengaluru Whitefield, Bangalore',\n",
              "       'Radha Hometel, Bangalore',\n",
              "       'Palm Meadows Club, Whitefield, Bangalore', 'Jayanagar, Bangalore',\n",
              "       'Bannerghatta Road, Bangalore',\n",
              "       'Forum Mall, Koramangala, Bangalore', 'JP Nagar, Bangalore',\n",
              "       'Basavanagudi, Bangalore',\n",
              "       'Vega City, Bannerghatta Road, Bangalore',\n",
              "       'Langford Town, Bangalore', 'Wilson Garden, Bangalore',\n",
              "       'Koramangala 2nd Block, Bangalore', 'City Market, Bangalore',\n",
              "       'Gopalan Innovation Mall, Bannerghatta, Bangalore',\n",
              "       'Prestige Trade Tower, Race Course Road, Bangalore',\n",
              "       'Garuda Swagath Mall, Jayanagar, Bangalore',\n",
              "       'Skywalk, Ulsoor, Bangalore',\n",
              "       'Bangalore Central, Bellandur, Bangalore',\n",
              "       'Electronic City, Bangalore', 'Krishna Kuteer, HSR, Bangalore',\n",
              "       'Royal Meenakshi Mall, Bannerghatta Road, Bangalore'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "4cbHTyAL3Ega"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "**Areas with max no of restaurants**"
      ],
      "metadata": {
        "id": "HvbNO_lp9LK9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "max_area=df.Area.value_counts()\n",
        "max_area[:18]"
      ],
      "metadata": {
        "id": "a8VIIQXSpzSX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "697db9e1-20a7-4adb-b75c-2f311d6bb364"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Electronic City, Bangalore      674\n",
              "Marathahalli, Bangalore         484\n",
              "HSR, Bangalore                  457\n",
              "Whitefield, Bangalore           447\n",
              "BTM, Bangalore                  397\n",
              "Indiranagar, Bangalore          292\n",
              "JP Nagar, Bangalore             292\n",
              "Sarjapur Road, Bangalore        284\n",
              "Rajajinagar, Bangalore          237\n",
              "New BEL Road, Bangalore         232\n",
              "Banashankari, Bangalore         216\n",
              "Jayanagar, Bangalore            214\n",
              "Kalyan Nagar, Bangalore         209\n",
              "Bellandur, Bangalore            199\n",
              "Bannerghatta Road, Bangalore    194\n",
              "Brookefield, Bangalore          181\n",
              "Kammanahalli, Bangalore         157\n",
              "Bommanahalli, Bangalore         154\n",
              "Name: Area, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "high_rest_a=max_area[max_area>=200]\n",
        "low_rest_a=max_area[max_area<20]\n",
        "len(high_rest_a)"
      ],
      "metadata": {
        "id": "C42az5zdpzPd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3825b216-f03a-42ef-a461-7d063508d18c"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13"
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "area_counts = df['Area'].value_counts().head(10)\n",
        "print(area_counts)\n",
        "plt.figure(figsize=(12,6))\n",
        "area_counts.plot(kind='bar')\n",
        "plt.title('Top Areas with the Most Restaurants')\n",
        "plt.xlabel('Area')\n",
        "plt.ylabel('Number of Restaurants')\n",
        "plt.xticks(rotation=45)  # Rotate x-axis labels for readability\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 734
        },
        "id": "GMeltp92_jMC",
        "outputId": "bde0fc16-bc93-4417-afc7-dfb53428b854"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Electronic City, Bangalore    674\n",
            "Marathahalli, Bangalore       484\n",
            "HSR, Bangalore                457\n",
            "Whitefield, Bangalore         447\n",
            "BTM, Bangalore                397\n",
            "Indiranagar, Bangalore        292\n",
            "JP Nagar, Bangalore           292\n",
            "Sarjapur Road, Bangalore      284\n",
            "Rajajinagar, Bangalore        237\n",
            "New BEL Road, Bangalore       232\n",
            "Name: Area, dtype: int64\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Cuisine that is most popular**\n",
        "\n",
        "  **- in the whole of Banglore**\n",
        "\n",
        "  **-in the area of poly-restaurants**"
      ],
      "metadata": {
        "id": "oEcHaMjQSZw6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.Cuisines"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sTqZuhfgRt30",
        "outputId": "0d490c26-f8ee-427a-c99a-480a85a9eed4"
      },
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       South Indian, North Indian, Chinese, Street Fo...\n",
              "1                  Biryani, Andhra, North Indian, Seafood\n",
              "2                                                 Biryani\n",
              "3                              Pizza, Fast Food, Desserts\n",
              "4         Burger, Fast Food, Biryani, Desserts, Beverages\n",
              "                              ...                        \n",
              "8918                                            Fast Food\n",
              "8919                      Seafood, Mangalorean, Beverages\n",
              "8920                                       Salad, Chinese\n",
              "8921                                        Thai, Chinese\n",
              "8922                                   Biryani, Fast Food\n",
              "Name: Cuisines, Length: 8923, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "food=df.Cuisines.unique()\n",
        "len(food)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lVmuMYLF_jIp",
        "outputId": "54a31d92-d1bc-43a3-d388-50c1d0726679"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2939"
            ]
          },
          "metadata": {},
          "execution_count": 95
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "top_food=df.Cuisines.value_counts()\n",
        "top_food[:100]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GxvVHfXm_i9w",
        "outputId": "dbf1cc43-32b0-4f83-cb3a-e2394adcf0dd"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "South Indian             309\n",
              "North Indian             205\n",
              "Bakery, Desserts         196\n",
              "North Indian, Chinese    138\n",
              "Chinese                  115\n",
              "Biryani                  103\n",
              "Biryani, South Indian    102\n",
              "Bakery                    99\n",
              "Street Food               96\n",
              "Ice Cream                 84\n",
              "Name: Cuisines, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Food least popular**"
      ],
      "metadata": {
        "id": "uGq40W9Ojwls"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "food_least_rest=top_food[top_food<50]\n",
        "len(food_least_rest)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WVcE_GAwjJBN",
        "outputId": "f22f4e08-7b11-4743-a6ce-9c25a3246613"
      },
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "48"
            ]
          },
          "metadata": {},
          "execution_count": 127
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "# Create a bar plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "top_food[:15].plot(kind='bar')\n",
        "plt.title('Top Cuisine among all Restaurants in Banglore')\n",
        "plt.xlabel('Cuisine')\n",
        "plt.ylabel('Counts')\n",
        "plt.xticks(rotation=45)  # Rotate x-axis labels for readability\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 605
        },
        "id": "P8zRFw8vUGae",
        "outputId": "925c2ff1-7152-41cf-88e9-2df50ed831ca"
      },
      "execution_count": 100,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Most popular food in the most popular area**"
      ],
      "metadata": {
        "id": "4C_f3DjnWeA2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ecity_rest=df[df['Area']=='Electronic City, Bangalore']\n",
        "len(ecity_rest)\n",
        "top_rated_rest =name_rest.iloc[:]\n",
        "\n",
        "\n",
        "top_rated_ecity_rest = ecity_rest[ecity_rest['Name'].isin(top_rated_rest)]\n",
        "top_rated_ecity_rest\n",
        "\n",
        "\n",
        "# Split and flatten the cuisines into a list\n",
        "cuisine_lists =ecity_rest['Cuisines'].str.split(', ').explode()\n",
        "\n",
        "# Get the value counts of each cuisine\n",
        "top_food = cuisine_lists.value_counts()\n",
        "\n",
        "# Display the top cuisines\n",
        "print(top_food.head(10))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pd3agpyCWddc",
        "outputId": "96f0c8f9-3749-40dd-fe17-0a68b5f9e1ef"
      },
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "North Indian    306\n",
            "Chinese         271\n",
            "Biryani         217\n",
            "Beverages       148\n",
            "Fast Food       118\n",
            "South Indian    112\n",
            "Desserts        109\n",
            "Mughlai          74\n",
            "Street Food      62\n",
            "Kebab            55\n",
            "Name: Cuisines, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "# Create a bar plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "top_food[:15].plot(kind='bar')\n",
        "plt.title('Top Cuisine  in Electronic City Banglore')\n",
        "plt.xlabel('Cuisine')\n",
        "plt.ylabel('Counts')\n",
        "plt.xticks(rotation=45)  # Rotate x-axis labels for readability\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 584
        },
        "id": "F7sCkqUIWdaD",
        "outputId": "c83df349-261d-4d14-d7a4-ad39e70a3ca9"
      },
      "execution_count": 122,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "***Cost that makes Electronic City so much popular***"
      ],
      "metadata": {
        "id": "dSKFgPOnilMS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "avg_cost = ecity_rest['AverageCost'].mean()\n",
        "\n",
        "\n",
        "print(f\"The average cost for the top-rated restaurants in Electronic City is {avg_cost:.2f} INR\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D3MiiureWdL7",
        "outputId": "62f6887e-365d-4852-f6ac-180a69ddd89a"
      },
      "execution_count": 123,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The average cost for the top-rated restaurants in Electronic City is 277.45 INR\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Reviews and Ratings of the restaurants in the most popular city**"
      ],
      "metadata": {
        "id": "xNI2TtXNkcHO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ecity_rest=df[df['Area']=='Electronic City, Bangalore']\n",
        "\n",
        "\n",
        "ecity_rest.loc[:, 'Dinner Ratings'] = pd.to_numeric(\n",
        "    ecity_rest['Dinner Ratings'], errors='coerce')\n",
        "ecity_rest.loc[:, 'Dinner Reviews'] = pd.to_numeric(\n",
        "    ecity_rest['Dinner Reviews'], errors='coerce')\n",
        "\n",
        "# Sort the filtered DataFrame by 'Dinner Ratings' in descending order\n",
        "top_rated_electronic_city_restaurants = ecity_rest.sort_values(\n",
        "    by='Dinner Ratings', ascending=False)\n",
        "\n",
        "# Then, sort by 'Dinner Reviews' in descending order\n",
        "top_rated_electronic_city_restaurants = top_rated_electronic_city_restaurants.sort_values(\n",
        "    by='Dinner Reviews', ascending=False)\n",
        "\n",
        "# Display the top-rated restaurants sorted by dinner reviews\n",
        "print(top_rated_electronic_city_restaurants[['Name', 'Dinner Ratings', 'Dinner Reviews']].head(10))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "B6WlIMhPke6s",
        "outputId": "621958fe-8c9c-4c87-8daf-baab889ec6f4"
      },
      "execution_count": 128,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                              Name  Dinner Ratings  Dinner Reviews\n",
            "6731              The Big Barbeque             4.5            6983\n",
            "6571               Barbeque Nation             4.5            4757\n",
            "6920              Gilly's Restobar             4.4            3229\n",
            "6713                  Fire Station             4.3            3084\n",
            "4372          46 Ounces Brewgarden             4.5            3026\n",
            "6558              Paradise Biryani             4.2            2413\n",
            "6799               BLR Brewing Co.             4.4            1500\n",
            "7212            The Rasoiya Street             4.3            1457\n",
            "6602              Moriz Restaurant             2.3            1265\n",
            "6662  Time Traveller - Sai Vishram             4.4             996\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-128-79a119b99f44>:4: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  ecity_rest.loc[:, 'Dinner Ratings'] = pd.to_numeric(\n",
            "<ipython-input-128-79a119b99f44>:4: DeprecationWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
            "  ecity_rest.loc[:, 'Dinner Ratings'] = pd.to_numeric(\n",
            "<ipython-input-128-79a119b99f44>:6: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  ecity_rest.loc[:, 'Dinner Reviews'] = pd.to_numeric(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "top_rest_rating=top_rated_electronic_city_restaurants[top_rated_electronic_city_restaurants]"
      ],
      "metadata": {
        "id": "4YKspuFDpEI2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "# Create a bar plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "top_rated_electronic_city_restaurants[['Name', 'Dinner Ratings']][:15].plot(kind='bar')\n",
        "plt.title('Preferred restaurants  in Electronic City Banglore')\n",
        "plt.xlabel('Restaurant')\n",
        "plt.ylabel('Ratings')\n",
        "plt.xticks(rotation=45)  # Rotate x-axis labels for readability\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 511
        },
        "id": "0ulEWan9kfwM",
        "outputId": "dd601de6-98b4-433a-958b-2a7e802e6d3f"
      },
      "execution_count": 134,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 0 Axes>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Questions**\n",
        "\n",
        "***1.Which restaurant is famous in the among all areas in Bangalore?***\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "heXIfReA3E88"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "name_rest=df.Name.value_counts()\n",
        "name_rest[:18]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "8fdd63e7-2a6a-4ec8-84fc-8c852444eeaf",
        "id": "75zKS0Cu7kdc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Five Star Chicken                                   29\n",
              "Snack House                                         27\n",
              "Kwality Wall’s Frozen Dessert and Ice Cream Shop    27\n",
              "Momo Monk                                           25\n",
              "Lassi Shop                                          23\n",
              "Pizza Hut                                           23\n",
              "Chai Point                                          22\n",
              "Kanti Sweets                                        22\n",
              "McDonald's                                          21\n",
              "BigBites                                            21\n",
              "Subway                                              21\n",
              "Cafe Coffee Day                                     20\n",
              "Polar Bear                                          20\n",
              "WOW! Momo                                           20\n",
              "Bullet Biryani                                      20\n",
              "NH1 Bowls - Highway To North                        20\n",
              "KFC                                                 20\n",
              "Ovenstory Pizza                                     19\n",
              "Name: Name, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "name_rest[:20].plot(kind='barh')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "outputId": "1f44cd47-1fe8-4998-c113-b8ac318973bd",
        "id": "ZSN4PdLi7t8f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 64
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "2.***What makes Electronic City of Banglore so popular?***\n",
        "\n",
        "                       Since the average cost of the top-rated restaurants in Electronic city is least, electronic city is so popular.\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "XhDgYaP_3loP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "avg_cost = ecity_rest['AverageCost'].mean()\n",
        "\n",
        "\n",
        "print(f\"The average cost for the top-rated restaurants in Electronic City is {avg_cost:.2f} INR\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "62f6887e-365d-4852-f6ac-180a69ddd89a",
        "id": "LqrtLm2X4-Yd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The average cost for the top-rated restaurants in Electronic City is 277.45 INR\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "***3.What is the topmost popular food in the most popular area in Banglore?***\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "Jvz_pDA-35dE"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "The most popular area is Electronic City. The most popular food in this area is,"
      ],
      "metadata": {
        "id": "FbohYJgJ6Mdo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ecity_rest=df[df['Area']=='Electronic City, Bangalore']\n",
        "len(ecity_rest)\n",
        "top_rated_rest =name_rest.iloc[:]\n",
        "\n",
        "\n",
        "top_rated_ecity_rest = ecity_rest[ecity_rest['Name'].isin(top_rated_rest)]\n",
        "top_rated_ecity_rest\n",
        "\n",
        "\n",
        "# Split and flatten the cuisines into a list\n",
        "cuisine_lists =ecity_rest['Cuisines'].str.split(', ').explode()\n",
        "\n",
        "# Get the value counts of each cuisine\n",
        "top_food = cuisine_lists.value_counts()\n",
        "\n",
        "# Display the top cuisines\n",
        "print(top_food.head(10))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "96f0c8f9-3749-40dd-fe17-0a68b5f9e1ef",
        "id": "wRYYnGZX69tK"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "North Indian    306\n",
            "Chinese         271\n",
            "Biryani         217\n",
            "Beverages       148\n",
            "Fast Food       118\n",
            "South Indian    112\n",
            "Desserts        109\n",
            "Mughlai          74\n",
            "Street Food      62\n",
            "Kebab            55\n",
            "Name: Cuisines, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "# Create a bar plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "top_food[:15].plot(kind='bar')\n",
        "plt.title('Top Cuisine  in Electronic City Banglore')\n",
        "plt.xlabel('Cuisine')\n",
        "plt.ylabel('Counts')\n",
        "plt.xticks(rotation=45)  # Rotate x-axis labels for readability\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 622
        },
        "outputId": "c83df349-261d-4d14-d7a4-ad39e70a3ca9",
        "id": "Dy2CohL-7DA6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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E0VGpu3fvKrcn9rYZ7O7du4esWbO+d2fF3d0dv//+O3bu3PlR5yvlzJnzrUcUHj9+jMKFC3/w/kWKFEHnzp3RuXNn3Lt3D40bN8by5cvfuaP1sQzPnT179k/auTVXhv6srKw+2F+RIkWMpvl+m+RcG6tQoUK4efMm9Hq90Q6zYZtMziQPbypSpAj0ej3u3Lmj6vpWWbNmReXKlXHq1Klkfynwvt+JhYUFGjRogO3bt2PgwIE4dOgQWrZs+cEvDz4kPj4eUVFRys+G86ASz6YXHR391qNRH8PwNwkICDB6fb548eKDQ2wN9/3333+THFH6999/P+rvXaRIEfj5+cHBwSFFwjkRmRbPkSKidKFatWqIj4/HunXrjJavXLlSmSwgsQsXLuDatWvKz0+ePMHhw4fh4uLy3p29OnXq4Ntvv8XChQtx4cKFJLdHRERg1qxZys+FCxfGpUuXEBMToyw7cuQInjx58t5+Xr16lWSWsCJFiiBbtmxGj5Vctra2KFKkCJYvX/7W4V1pMTV5asqTJw8qVaqEjRs3IjAwMMntifurXbs2bty4gYMHDyZZz3CkwjD728cORQQStsmgoCDs2bNHWRYXF4c1a9bA2toajo6OH/1Y7+Lh4QGtVov58+cnOaftQ0dZevbsCRHB4MGD37oNXL16NclU7YkZfifvCi3fffcdXr58iVGjRiEqKuqdU6J/rFOnTiEqKgolS5ZUlr3ttbpmzZr3nuf4Ps7OzrC0tMSGDRuMlr/5vvI2tra2yJMnD3x9fY1eo8eOHcOdO3dQvXr1Dz5GvXr1EB8fj19//TXJbXFxcaq2PyIyPR6RIqJ0oUaNGnBycsKsWbPw6NEj6HQ6/PXXXzh8+DA6duyYZBjXt99+iy5duhhNfw4kTDn+PlZWVpg3bx6+//57tGvXDnXr1oWDgwOsrKxw+/Zt/P7778iRI4dyLakWLVpg//79+OGHH1CvXj0EBARg165dHxxWdu/ePXTq1Al169ZFiRIlYGFhgUOHDuH58+fw9PT8hN9UAq1Wi/Hjx6Nr165o0KABmjZtii+//BLPnj3D6dOnkT17dixcuPCTnyel7N+//61DDV1cXJTrC71p9OjRaNOmDRo2bIiWLVuicOHCeP78OS5evIinT59i586dAIAuXbpg//796Nu3L5o1a4YyZcrg5cuX+OOPPzB27FiULFlSmcDA19cX2bJlg7W1NcqVK/feo4peXl7YuHEjhg4dimvXrqFQoULYv38/zp8/j2HDhr312k1qFS1aFN27d8evv/6KNm3aoHbt2siUKROuXLmC/PnzG80I9yYHBweMGjUKY8eORb169fDdd9+haNGiiIyMxJkzZ/DHH3/g559/fuf9y5QpAwCYNWsW6tevDysrK7i7uyt/p9KlS+Pbb7/Fvn37ULx4cWX9jxEeHo4dO3YASDgK9e+//2LDhg3IkiULfvzxR2W96tWrY8eOHciePTtKlCiBixcv4uTJk8iVK9dHP1diefPmRYcOHbB8+XJ0794dVatWxc2bN/Hnn38id+7c7z0KZ2VlhYEDB+KXX35Bu3bt4OnpqUx/XqhQIXTq1OmDz1+pUiV4eXlh0aJFuH79OlxcXGBlZYV79+5h3759GD58+FtnsCQi88QgRUTpglarxYIFCzB37lzs2bMH27ZtQ6FChTB48GB07tw5yfqOjo6ws7PD/Pnz8fjxY5QoUQKTJk0y+rb7XYoWLYrffvsNK1euxMGDB3H48GHo9XoULVoULVq0MJo5sGrVqhg6dChWrFiBiRMnwtbWFgsXLsSUKVPe+xwFChSAp6cn/Pz8sHPnTlhYWOC///0vZs+ejTp16qj/Bb2Fk5MTNm7ciF9//RVr165FVFQU8uXLh3LlysHLyytFniOljBkz5q3LV69e/c4gVaJECWzduhXz5s3D9u3bERoaii+++AKlS5dGz549lfWyZcuGdevWwcfHBwcPHsT27duRJ08eODs748svvwSQsJM8efJkzJw5E2PGjEFcXBwmTZr03iCVJUsWrFmzBtOnT8f27dsRERGBYsWKYdKkSUlm+PsUffv2xddff421a9di1qxZyJo1K3Q63UdN7NCqVSuULVsWy5cvx2+//YYXL17A2toapUuXxqRJk957FKlcuXLo27cvfH19cfz4cej1ehw+fNgo8H733XeYNm2a6uuuPX36FIMHDwaQMIQwZ86ccHR0RK9evYyGMA4fPhxarRa7du1CdHQ0HBwcsGLFCvzwww+qni+xgQMHIkuWLNi8eTP8/PxgZ2eHZcuWoU2bNkkmFHlT06ZNkSVLFixZsgTTp0+HtbU1PDw8MGjQoPde8yyxcePGwdbWFr6+vpg1axYsLCxQqFAhNGrUyOgaWkRk/jRiijMwiYhSkU6nQ9u2bTFq1ChTl0KUoa1atQqTJk3CH3/8kSLnhJlKWFgYHB0dja5TR0T0ITxHioiIiFQTEWzZsgWOjo7pKkS9fv06ybJVq1YBSBh6R0T0sTi0j4iIiD5aVFQU/vjjD5w+fRq3bt1668QJ5mzPnj3Yvn07qlWrBmtra5w/fx6///47XF1dUaFCBVOXR0TpCIMUERERfbSQkBAMGDAAOXLkQPfu3VGzZk1Tl6SKTqeDhYUFli5disjISOTJkwcdOnR478QbRERvw3OkiIiIiIiIVOI5UkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKnLUvkeDgcKTW1BsaDZAnj02qPkdaYj/mKyP1ArAfc5aRegHYjznLSL0A7MecZaReAPbzqc/zIQxSiYgg1TeytHiOtMR+zFdG6gVgP+YsI/UCsB9zlpF6AdiPOctIvQDsJ7VwaB8REREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKlmauoD0TKvVQKvVqLqPhYW67KrXC/R6UXUfIiIiIiJKXQxSyaTVapAzlzUsVQaj3LmzqVo/Ll6Pl6FRDFNERERERGaEQSqZtFoNLC206Ot7Af6BEanyHCXyZ8ecVvbQajUMUkREREREZoRB6hP5B0bg2uMwU5dBRERERERpiJNNEBERERERqWTSILV+/Xo0bNgQDg4OcHBwgJeXF44dO6bcHh0djbFjx8LJyQn29vbo3bs3nj9/bvQYjx8/xo8//ojy5cvD2dkZU6ZMQVxcXFq3QkREREREnxGTBqkCBQpg4MCB2LZtG7Zu3YrKlSujZ8+euH37NgBg4sSJOHLkCGbPno01a9YgMDAQvXr1Uu4fHx+Pbt26ITY2Fr6+vpg8eTK2b9+OuXPnmqolIiIiIiL6DJg0SNWoUQNubm74z3/+g2LFiqFfv36wtrbGxYsXER4ejq1bt2Lo0KFwdnaGra0tJk6ciAsXLuDixYsAgBMnTsDf3x/Tpk1DqVKl4Obmhr59+2LdunWIiYkxZWtERERERJSBmc05UvHx8di9ezeioqJgb2+Pq1evIjY2FlWqVFHWKV68OAoWLKgEqYsXL+Lbb79F3rx5lXVcXV0REREBf3//tG6BiIiIiIg+Eyafte/mzZto1aoVoqOjYW1tjfnz56NEiRK4fv06rKyskCNHDqP18+TJg6CgIADA8+fPjUIUAOVnwzpqaNRdWzdNmVtthnrMra7kykj9ZKReAPZjzjJSLwD7MWcZqReA/ZizjNQLwH4+9Xk+xORBqlixYvjtt98QHh6O/fv3Y8iQIVi7dq1JasmTx8Ykz/shai/im5bM9XeWXBmpn4zUC8B+zFlG6gVgP+YsI/UCsB9zlpF6AdhPajF5kMqUKROKFi0KALC1tcWVK1ewevVq1KtXD7GxsQgLCzM6KhUcHIx8+fIBSDj6dPnyZaPHM8zqZ1hHjeDgcMhHXvfWwkKbZgHnxYtIxMfr0+S5PpZGk7ARq/mdmbOM1E9G6gVgP+YsI/UCsB9zlpF6AdiPOctIvQDs51Of50NMHqTepNfrERMTA1tbW1hZWcHPzw916tQBANy9exePHz+GnZ0dAMDOzg4LFy5EcHAw8uTJAwA4efIksmfPjhIlSqh+bhGY7UZmznWZa23JkZH6yUi9AOzHnGWkXgD2Y84yUi8A+zFnGakXgP2kFpMGqRkzZqBatWr46quvEBkZid9//x1nzpzBsmXLYGNjg2bNmmHy5MnImTMnsmfPjvHjx8Pe3l4JUq6urihRogQGDx6MQYMGISgoCLNnz0bbtm2RKVMmU7ZGREREREQZmEmDVHBwMIYMGYLAwEDY2NhAp9Nh2bJlcHFxAQAMGzYMWq0Wffr0QUxMDFxdXTF69Gjl/hYWFli4cCHGjBkDLy8vZM2aFU2aNEGfPn1M1RIREREREX0GTBqkJk6c+N7bM2fOjNGjRxuFpzcVKlQIS5YsSenSiIiIiIiI3slsriNFRERERESUXjBIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpZGnqAsg8aLUaaLUa1fezsFCXxfV6gV4vqp+HiIiIiMicMEgRtFoNcuayhqXKUAQAuXNnU7V+XLweL0OjGKaIiIiIKF1jkCJotRpYWmjR1/cC/AMjUu15SuTPjjmt7KHVahikiIiIiChdY5AihX9gBK49DjN1GUREREREZo+TTRAREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUomDVKLFi1Cs2bNYG9vD2dnZ/z000+4e/eu0Trt27eHTqcz+m/UqFFG6zx+/Bg//vgjypcvD2dnZ0yZMgVxcXFp2QoREREREX1GLE355GfOnEHbtm1RtmxZxMfHY+bMmejSpQt2794Na2trZb2WLVuiT58+ys9Zs2ZV/h0fH49u3bohb9688PX1RWBgIIYMGQIrKyv0798/TfshIiIiIqLPg0mD1LJly4x+njx5MpydnXHt2jU4Ojoqy7NkyYJ8+fK99TFOnDgBf39/rFixAnnz5kWpUqXQt29fTJ8+Hb169UKmTJlStQciIiIiIvr8mDRIvSk8PBwAkDNnTqPlu3btws6dO5EvXz64u7vjp59+Uo5KXbx4Ed9++y3y5s2rrO/q6ooxY8bA398fpUuX/ujn12hSoIlUYs61JYe59WOox9zqSo6M1AvAfsxZRuoFYD/mLCP1ArAfc5aRegHYz6c+z4eYTZDS6/WYOHEiHBwc8O233yrLGzRogIIFCyJ//vy4efMmpk+fjn///Rfz5s0DADx//twoRAFQfg4KClJVQ548Np/YRerInTubqUtIUebcj7luA8mRkXoB2I85y0i9AOzHnGWkXgD2Y84yUi8A+0ktZhOkxo4di9u3b2P9+vVGy728vJR/63Q65MuXD506dUJAQACKFCmSojUEB4dD5OPWtbDQplkgePEiEvHx+lR7/LTsBUj9fpJDo0l4UarZBsxVRuoFYD/mLCP1ArAfc5aRegHYjznLSL0A7OdTn+dDzCJIjRs3DkePHsXatWtRoECB965bvnx5AMD9+/dRpEgR5M2bF5cvXzZa5/nz5wDwzvOq3kUEZruRmWtdyWWu/ZjzNqBWRuoFYD/mLCP1ArAfc5aRegHYjznLSL0A7Ce1mHT6cxHBuHHjcPDgQaxatQqFCxf+4H2uX78O4H8hyc7ODrdu3UJwcLCyzsmTJ5E9e3aUKFEidQonIiIiIqLPmkmPSI0dOxa///47fv31V2TLlk05p8nGxgZZsmRBQEAAdu3aBTc3N+TKlQs3b97EpEmT4OjoiJIlSwJImFiiRIkSGDx4MAYNGoSgoCDMnj0bbdu25Yx9RERERESUKkwapDZs2AAg4aK7iU2aNAlNmzaFlZUV/Pz8sHr1akRFReGrr75C7dq18dNPPynrWlhYYOHChRgzZgy8vLyQNWtWNGnSxOi6U0RERERERCnJpEHq5s2b7739q6++wtq1az/4OIUKFcKSJUtSqiwiIiIiIqL3Muk5UkREREREROkRgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpZGnqAohSg1argVarUX0/Cwt13y3o9QK9XlQ/DxERERGlbwxSlOFotRrkzGUNS5WhCABy586mav24eD1ehkYxTBERERF9ZhikKMPRajWwtNCir+8F+AdGpNrzlMifHXNa2UOr1TBIEREREX1mGKQow/IPjMC1x2GmLoOIiIiIMiBONkFERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkkkmD1KJFi9CsWTPY29vD2dkZP/30E+7evWu0TnR0NMaOHQsnJyfY29ujd+/eeP78udE6jx8/xo8//ojy5cvD2dkZU6ZMQVxcXFq2QkREREREnxGTBqkzZ86gbdu22LRpE1asWIG4uDh06dIFUVFRyjoTJ07EkSNHMHv2bKxZswaBgYHo1auXcnt8fDy6deuG2NhY+Pr6YvLkydi+fTvmzp1ripaIiIiIiOgzYNIgtWzZMjRt2hTffPMNSpYsicmTJ+Px48e4du0aACA8PBxbt27F0KFD4ezsDFtbW0ycOBEXLlzAxYsXAQAnTpyAv78/pk2bhlKlSsHNzQ19+/bFunXrEBMTY8LuiIiIiIgoo7I0dQGJhYeHAwBy5swJALh69SpiY2NRpUoVZZ3ixYujYMGCuHjxIuzs7HDx4kV8++23yJs3r7KOq6srxowZA39/f5QuXfqjn1+jSaFGUoE515Yc7Cf1GGoxp5o+BfsxXxmpF4D9mLOM1AvAfsxZRuoFYD+f+jwfYjZBSq/XY+LEiXBwcMC3334LAHj+/DmsrKyQI0cOo3Xz5MmDoKAgZZ3EIQqA8rNhnY+VJ49NcstPVblzZzN1CSmK/aQNc92ek4v9mK+M1AvAfsxZRuoFYD/mLCP1ArCf1GI2QWrs2LG4ffs21q9fb7IagoPDIfJx61pYaNNsB/rFi0jEx+tT7fHTsheA/aQ2jSbhDUbN9mzO2I/5yki9AOzHnGWkXgD2Y84yUi8A+/nU5/kQswhS48aNw9GjR7F27VoUKFBAWZ43b17ExsYiLCzM6KhUcHAw8uXLp6xz+fJlo8czzOpnWOdjicBsNzJzrSu52E/qM+ftOTnYj/nKSL0A7MecZaReAPZjzjJSLwD7SS0mnWxCRDBu3DgcPHgQq1atQuHChY1ut7W1hZWVFfz8/JRld+/exePHj2FnZwcAsLOzw61btxAcHKysc/LkSWTPnh0lSpRIkz6IiIiIiOjzYtIjUmPHjsXvv/+OX3/9FdmyZVPOabKxsUGWLFlgY2ODZs2aYfLkyciZMyeyZ8+O8ePHw97eXglSrq6uKFGiBAYPHoxBgwYhKCgIs2fPRtu2bZEpUyYTdkdERERERBmVSYPUhg0bAADt27c3Wj5p0iQ0bdoUADBs2DBotVr06dMHMTExcHV1xejRo5V1LSwssHDhQowZMwZeXl7ImjUrmjRpgj59+qRdI0RERERE9FkxaZC6efPmB9fJnDkzRo8ebRSe3lSoUCEsWbIkJUsjIiIiIiJ6J5OeI0VERERERJQeMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKiUrSF27dg03b95Ufj506BB++uknzJw5EzExMSlWHBERERERkTlKVpAaNWoU7t27BwB48OAB+vfvj6xZs2Lfvn2YNm1aStZHRERERERkdpIVpO7du4dSpUoBAPbu3QtHR0fMmDEDkyZNwoEDB1K0QCIiIiIiInOTrCAlItDr9QAAPz8/VKtWDQDw1Vdf4cWLFylXHRERERERkRlKVpCytbXFggUL8Ntvv+Hs2bOoXr06AODhw4fImzdvStZHRERERERkdpIVpIYNG4Z//vkH3t7e6N69O4oWLQoA2L9/P+zt7VO0QCIiIiIiInNjmZw7lSxZErt27UqyfPDgwbCwsPjkooiIiIiIiMxZso5I1axZ863nQkVHR6NOnTqfXBQREREREZE5S1aQevTokTLZRGIxMTF49uzZJxdFRERERERkzlQN7Tt8+LDy7+PHj8PGxkb5Wa/Xw8/PD4UKFUq56oiIiIiIiMyQqiDVs2dPAIBGo8HQoUONH8jSEoUKFUqynIiIiIiIKKNRFaRu3LgBAKhRowa2bNmCL774IlWKIiIiIiIiMmfJmrXvjz/+SOk6iIiIiIiI0o1kBSkA8PPzg5+fH4KDg5NMPDFp0qRPLoyIiIiIiMhcJStIzZs3D/Pnz4etrS3y5csHjUaT0nURERERERGZrWQFKV9fX0yaNAmNGzdO4XKIiIiIiIjMX7KuIxUbGwsHB4eUroWIiIiIiChdSFaQat68OXbt2pXStRAREREREaULyRraFx0djU2bNsHPzw86nQ6WlsYP88svv6RIcUREREREROYoWUHq5s2bKFmyJADg1q1bRrdx4gkiIiIiIsrokhWk1qxZk9J1EBERERERpRvJOkeKiIiIiIjoc5asI1Lt27d/7xC+1atXJ7sgIiIiIiIic5esIFWqVCmjn+Pi4nD9+nXcvn2b15YiIiIiIqIML1lBatiwYW9d7uPjg6ioqE8qiIiIiIiIyNyl6DlSjRo1wtatW1PyIYmIiIiIiMxOigapCxcuIFOmTCn5kERERERERGYnWUP7evXqZfSziCAoKAhXr17FTz/9lCKFERERERERmatkBSkbGxujnzUaDYoVK4Y+ffrA1dU1RQojIiIiIiIyV8kKUpMmTUrpOoiIiIiIiNKNZAUpg6tXr+LOnTsAgG+++QalS5dOkaKIiIiIiIjMWbKCVHBwMPr164czZ84gR44cAICwsDA4OTlh1qxZ+OKLL1K0SCIiIiIiInOSrFn7vL29ERkZid27d+PMmTM4c+YMfv/9d0RERGD8+PEf/Thnz55F9+7d4erqCp1Oh0OHDhndPnToUOh0OqP/unTpYrROaGgoBgwYAAcHB1SsWBHDhg1DZGRkctoiIiIiIiL6KMk6InX8+HGsWLECxYsXV5aVKFECo0ePRufOnT/6caKioqDT6dCsWbMkMwEaVK1a1eicrDenVx84cCCCgoKwYsUKxMbGYtiwYRg1ahRmzJihsisiIiIiIqKPk6wgpdfrYWVllfTBLC2h1+s/+nHc3Nzg5ub23nUyZcqEfPnyvfW2O3fu4Pjx49iyZQvKli0LABgxYgR+/PFHDB48GF9++eVH10JERERERPSxkhWkKleujAkTJmDGjBlKWHn27BkmTZoEZ2fnFC3wzJkzcHZ2Ro4cOVC5cmX8/PPPyJ07N4CECwDnyJFDCVEAUKVKFWi1Wly+fBm1atVS9VwaTYqWnqLMubbkYD+px1CLOdX0KdiP+cpIvQDsx5xlpF4A9mPOMlIvAPv51Of5kGQFqVGjRqFHjx6oWbMmChQoAAB4+vQpvvnmG0ybNi05D/lWVatWRa1atfD111/jwYMHmDlzJrp27YqNGzfCwsICz58/TzKxhaWlJXLmzImgoCDVz5cnj82HVzKB3LmzmbqEFMV+0oa5bs/JxX7MV0bqBWA/5iwj9QKwH3OWkXoB2E9qSVaQ+uqrr7B9+3acPHkSd+/eBQAUL14cVapUSdHiPD09lX8bJpvw8PBQjlKltODgcIh83LoWFto024F+8SIS8fEfP2RSrbTsBWA/qU2jSXiDUbM9mzP2Y74yUi8A+zFnGakXgP2Ys4zUC8B+PvV5PkRVkPLz84O3tzc2bdqE7Nmzw8XFBS4uLgCA8PBweHp6YuzYsahYsWLyqv6AwoULI3fu3Lh//z6cnZ2RN29ehISEGK0TFxeHly9fvvO8qvcRgdluZOZaV3KxH3W0Wg20WnXHsbVadZNy6vUCvd58/zDm/PpMjozUT0bqBWA/5iwj9QKwH3OWkXoB2E9qURWkVq1ahZYtWyJ79uxJbrOxsYGXlxdWrFiRakHq6dOnCA0NVUKSvb09wsLCcPXqVdja2gIATp06Bb1ej3LlyqVKDURpTavVIGcua1haqAtGao/KxcXr8TI0yqzDFBEREZG5UBWkbt68iUGDBr3zdhcXFyxfvvyjHy8yMhIBAQHKzw8fPsT169eRM2dO5MyZE/PmzUOdOnWQN29ePHjwANOmTUPRokVRtWpVAAnDCatWrYqRI0di7NixiI2Nhbe3Nzw9PTljH2UYWq0GlhZa9PW9AP/AiFR5jhL5s2NOK3totRoGKSIiIqKPoCpIPX/+HJaW776LpaVlkqF273P16lV06NBB+dlwvagmTZpgzJgxuHXrFn777TeEh4cjf/78cHFxQd++fY2uJTV9+nR4e3ujY8eO0Gq1qF27NkaMGKGmLaJ0wT8wAtceh5m6DCIiIiKCyiD15Zdf4vbt2yhatOhbb79586aqc5OcnJxw8+bNd96+bNmyDz5Grly5ePFdIiIiIiJKU6pOunBzc8OcOXMQHR2d5LbXr1/Dx8cH7u7uKVYcERERERGROVJ1RKpHjx44cOAA6tSpg7Zt26JYsWIAgLt372L9+vWIj49H9+7dU6VQIiIiIiIic6EqSOXNmxe+vr4YM2YMZs6cCfn/eQc1Gg1cXV0xatQo5M2bN1UKJSIiIiIiMheqL8hbqFAhLFmyBC9fvsT9+/cBAEWLFkXOnDlTvDgiIiIiIiJzpDpIGeTMmZPXaiIiIiIios+Suit8EhEREREREYMUERERERGRWgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxCBFRERERESkEoMUERERERGRSgxSREREREREKjFIERERERERqcQgRUREREREpBKDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKSSpakLIKLPi1argVarUX0/Cwt13/vo9QK9XlQ/DxEREdHHYJAiojSj1WqQM5c1LFWGIgDInTubqvXj4vV4GRrFMEVERESpgkGKiNKMVquBpYUWfX0vwD8wItWep0T+7JjTyh5arYZBioiIiFIFgxQRpTn/wAhcexxm6jKIiIiIko2TTRAREREREanEIEVERERERKQSgxQREREREZFKDFJEREREREQqMUgRERERERGpxFn7iIg+AS8wTERE9HlikCIiSiZeYJiIiOjzxSBFRJRMvMAwERHR54tBiojoE/ECw0RERJ8fBikiIlIk55wvnu9FRESfIwYpIiICkPxzvni+FxERfY4YpIiICEDanPPF872IiCijYJAiIiIjPOeLiIjow3hBXiIiIiIiIpUYpIiIiIiIiFRikCIiIiIiIlKJQYqIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUMmmQOnv2LLp37w5XV1fodDocOnTI6HYRwZw5c+Dq6opy5cqhU6dOuHfvntE6oaGhGDBgABwcHFCxYkUMGzYMkZGRadgFERERERF9bkwapKKioqDT6TB69Oi33r5kyRKsWbMGY8aMwaZNm5A1a1Z06dIF0dHRyjoDBw6Ev78/VqxYgYULF+Lvv//GqFGj0qoFIiIiIiL6DJk0SLm5uaFfv36oVatWkttEBKtXr0aPHj3g4eGBkiVLYurUqQgMDFSOXN25cwfHjx/H+PHjUb58eVSsWBEjRozA7t278ezZs7Ruh4iIiIiIPhOWpi7gXR4+fIigoCBUqVJFWWZjY4Py5cvjwoUL8PT0xIULF5AjRw6ULVtWWadKlSrQarW4fPnyWwPa+2g0KVZ+ijPn2pKD/ZivjNQLwH7Mmbn1YqjH3OpKrozUT0bqBWA/5iwj9QKwn099ng8x2yAVFBQEAMiTJ4/R8jx58uD58+cAgOfPn+OLL74wut3S0hI5c+ZU7q9Gnjw2yaw2deXOnc3UJaQo9mO+MlIvAPsxZ+bci7l+FiRXRuonI/UCsB9zlpF6AdhPajHbIGUKwcHhEPm4dS0stGm2I/DiRSTi4/Wp9vhp2QvAftTitpZ87EedjLStJYdGk/DhrOazwJxlpH4yUi8A+zFnGakXgP186vN8iNkGqXz58gEAgoODkT9/fmV5cHAwSpYsCQDImzcvQkJCjO4XFxeHly9fKvdXQwRmu5GZa13JxX7MV0bqBWA/5sxcezHnz4LkyEj9ZKReAPZjzjJSLwD7SS1mex2pr7/+Gvny5YOfn5+yLCIiApcuXYK9vT0AwN7eHmFhYbh69aqyzqlTp6DX61GuXLk0r5mIiIiIiD4PJj0iFRkZiYCAAOXnhw8f4vr168iZMycKFiyIDh06YMGCBShatCi+/vprzJkzB/nz54eHhwcAoHjx4qhatSpGjhyJsWPHIjY2Ft7e3vD09MSXX35pqraIiIiIiCiDM2mQunr1Kjp06KD8PGnSJABAkyZNMHnyZHTt2hWvXr3CqFGjEBYWhgoVKmDp0qXInDmzcp/p06fD29sbHTt2hFarRe3atTFixIg074WIiIiIiD4fJg1STk5OuHnz5jtv12g06Nu3L/r27fvOdXLlyoUZM2akRnlERERERERvZbbnSBEREREREZkrBikiIiIiIiKVGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVGKQIiIiIiIiUolBioiIiIiISCUGKSIiIiIiIpUYpIiIiIiIiFRikCIiIiIiIlKJQYqIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVGKQIiIiIiIiUolBioiIiIiISCUGKSIiIiIiIpUYpIiIiIiIiFRikCIiIiIiIlKJQYqIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilSxNXQAREVFq0Go10Go1qu9nYaHuO0a9XqDXi+rnISKi9I1BioiIMhytVoOcuaxhqTIUAUDu3NlUrR8Xr8fL0CiGKSKizwyDFBERZTharQaWFlr09b0A/8CIVHueEvmzY04re2i1GgYpIqLPDIMUERFlWP6BEbj2OMzUZRARUQbEySaIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVGKQIiIiIiIiUolBioiIiIiISCUGKSIiIiIiIpUYpIiIiIiIiFRikCIiIiIiIlKJQYqIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUsjR1AURERPRhWq0GWq1G9f0sLNR9Z6rXC/R6Uf08RESfGwYpIiIiM6fVapAzlzUsVYYiAMidO5uq9ePi9XgZGsUwRUT0AQxSREREZk6r1cDSQou+vhfgHxiRas9TIn92zGllD61WwyBFRPQBDFJERETphH9gBK49DjN1GUREBE42QUREREREpBqDFBERERERkUoMUkRERERERCoxSBEREREREanEIEVERERERKQSgxQREREREZFKnP6ciIiI0pxWq4FWq1F1HwuVFyTW64XXwyKiVMMgRURERGlKq9UgZy5rWKoMRrlzZ1O1fly8Hi9DoximiChVMEgRERFRmtJqNbC00KKv7wX4B0akynOUyJ8dc1rZQ6vVMEgRUapgkCIiIiKT8A+MwLXHYaYug4goWcx6sgkfHx/odDqj/+rWravcHh0djbFjx8LJyQn29vbo3bs3nj9/bsKKiYiIiIjoc2D2R6S++eYbrFixQvnZwsJC+ffEiRNx7NgxzJ49GzY2NvD29kavXr3g6+trilKJiIiIiOgzYfZBysLCAvny5UuyPDw8HFu3bsX06dPh7OwMICFY1a9fHxcvXoSdnV0aV0pERERERJ8Lsw9S9+/fh6urKzJnzgw7OzsMGDAABQsWxNWrVxEbG4sqVaoo6xYvXhwFCxZMdpDSqJuFNU2Zc23JwX7MV0bqBWA/5iwj9QKwH3OW2r1otRpoVDyJYVVLSy1ExTwYIuY5nbuhn4ywzWSkXgD286nP8yFmHaTKlSuHSZMmoVixYggKCsL8+fPRtm1b7Nq1C8+fP4eVlRVy5MhhdJ88efIgKCgoWc+XJ49NSpSd4tRO92ru2I/5yki9AOzHnGWkXgD2Y87Sopd4vcBC5TWxACBXLnW1Jfd50oq57kclR0bqBWA/qcWsg5Sbm5vy75IlS6J8+fJwd3fH3r17kSVLlhR/vuDg8I/+ZsjCQptmHzQvXkQiPl6fao+flr0A7EctbmvJx37U4baWfOxHnYy4raXmVO7A/6ZzT+1+kkOjSdixVbMfZa4yUi8A+/nU5/kQsw5Sb8qRIwf+85//ICAgAFWqVEFsbCzCwsKMjkoFBwe/9ZyqjyECs93IzLWu5GI/5isj9QKwH3OWkXoB2I85S4te0nIqd3P925jzfpRaGakXgP2klnQVpCIjI/HgwQPky5cPtra2sLKygp+fH+rUqQMAuHv3Lh4/fsyJJoiIiIiSSavVQJuMIYQWFuquqqPXm+c5X0Qfy6yD1JQpU+Du7o6CBQsiMDAQPj4+0Gq1aNCgAWxsbNCsWTNMnjwZOXPmRPbs2TF+/HjY29szSBERERElg1arQc5c1rBUGYoA9eejxcXr8TI0imGK0i2zDlJPnz5F//79ERoaii+++AIVKlTApk2b8MUXXwAAhg0bBq1Wiz59+iAmJgaurq4YPXq0iasmIiIiSp+0Wg0sLbRpds6XVqthkKJ0y6yD1KxZs957e+bMmTF69GiGJyIiIqIUlJbnfBGlV+qP2xIREREREX3mGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVGKQIiIiIiIiUolBioiIiIiISCWzviAvEREREdGn0Go10Go1qu5jYaHuWINeL9DrRdV9KP1jkCIiIiKiDEmr1SBnLmtYqgxGuXNnU7V+XLweL0OjGKY+MwxSRERERJQhabUaWFpo0df3AvwDI1LlOUrkz445reyh1WoYpD4zDFJERERElKH5B0bg2uMwU5dBGQwnmyAiIiIiIlKJQYqIiIiIiEglDu0jIiIiIkoHkjMDIcBZCFMLgxQRERERkZlL7gyEAGchTC0MUkREREREZi4tZiAEOAuhGgxSRERERETpBGcgNB+cbIKIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVOJ1pIiIiIiIKM1ptRpotRrV97OwUHcsSK+XVLm4MIMUERERERGlKa1Wg5y5rGGpMhQBQO7c2VStHxevx8vQqBQPUwxSRERERESUprRaDSwttOjrewH+gRGp9jwl8mfHnFb20Go1DFJERERERJQx+AdG4NrjMFOXkSycbIKIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVGKQIiIiIiIiUolBioiIiIiISCUGKSIiIiIiIpUYpIiIiIiIiFRikCIiIiIiIlKJQYqIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVGKQIiIiIiIiUolBioiIiIiISCUGKSIiIiIiIpUYpIiIiIiIiFRikCIiIiIiIlKJQYqIiIiIiEglBikiIiIiIiKVGKSIiIiIiIhUYpAiIiIiIiJSiUGKiIiIiIhIJQYpIiIiIiIilRikiIiIiIiIVGKQIiIiIiIiUinDBKl169ahRo0aKFu2LFq0aIHLly+buiQiIiIiIsqgMkSQ2rNnDyZNmoSePXti+/btKFmyJLp06YLg4GBTl0ZERERERBlQhghSK1asQMuWLdGsWTOUKFECY8eORZYsWbB161ZTl0ZERERERBmQpakL+FQxMTG4du0aunXrpizTarWoUqUKLly4oOqxtFpARN3zlymYA1kzWai700f6b95syr+1aRB5U7MXgP18Km5rH4/9fBpuax+P/Xwabmsfj/18Gm5rH4/9ABrNR64nojY6mJdnz56hWrVq8PX1hb29vbJ86tSpOHv2LDZv3mzC6oiIiIiIKCPKEEP7iIiIiIiI0lK6D1K5c+eGhYVFkoklgoODkTdvXhNVRUREREREGVm6D1KZMmVCmTJl4OfnpyzT6/Xw8/MzGupHRERERESUUtL9ZBMA8P3332PIkCGwtbVFuXLlsGrVKrx69QpNmzY1dWlERERERJQBZYggVb9+fYSEhGDu3LkICgpCqVKlsHTpUg7tIyIiIiKiVJHuZ+0jIiIiIiJKa+n+HCkiIiIiIqK0xiBFRERERESkEoMUERERERGRSgxSRPRZCA8PN3UJRBlCSEiIqUsgIjILDFJElOGtWbMGM2bMwIMHD0xdClG6tmvXLvz888+4ceOGqUshIvpor169SpXHZZAiUmnx4sUICAgwdRmkgl6vx4EDB7Bx40aGKUpxMTExpi4hzcTGxkKv12P+/PkMU0SULqxduxaLFy/G8+fPU/yxGaQykLfNZK/X601QScZ17tw5nD59GoUKFTJ1KWnqzW0rvV01oWPHjujfvz927dr1WYap9Pb3Sk8GDRoEPz8/U5eRZpo2bYr27dvj9evX8PHxgb+/v6lLogyO+zFpJ6N+Vjx69AibN2/G9u3bUzxMMUhlECICjUaDa9eu4ciRIzhx4gQAQKvVms2bkOEFGhMTg9evX5u4muSpUKECli5dCgsLCxw5cuSz+EZWr9dDo9EAAPz9/REXF6f8nB7ExcUBAL777jvUqVMHO3bsgK+vLx4/fmziylKH4XV269YtHD9+HDdu3DDbv5eh1vT84f3FF1+gSpUqAID4+HgA6buf9zG8lmxtbfHNN9/g+vXrmDlzJu7cuWPiyhJ+5xnty8TE/WTUbepNhj7v378Pf39/BAUFQas1711VQ80vXrxAbGysiav5NIbPig0bNmDdunUmriblDBkyBK1atcKGDRuwbds2BAUFpdhjW6bYI5FJaTQa7Nu3DyNHjoSNjQ30ej3Kly+POXPmKGHKlG9GhqB37NgxbNy4EQ8fPkSZMmVQp04dVKtWzezfKN9079499OvXD/Xq1UOXLl1QokQJU5eUKhJvN3PnzsWlS5fQunVr1KxZ02x3zt9kaWmJPXv2YPbs2ShXrhxsbGywbNkyxMfHo3379hnu6KJGo8HBgwcxaNAgfPnll7h//z569OiBVq1a4csvvzR1eQrDe8Lff/+NkJAQODo6Infu3KYu66MZXhu//PILAMDX1xcWFhZo2LAhsmTJovSXkRheSzNnzoSDgwO+/PJLnD59GjNmzEDfvn2h0+nSvKZXr14ha9asiIuLg5WVFS5cuIB//vkHWq0WlSpVQvHixdO8ppRg2H78/Pzw119/4fbt22jQoAHKlCmD//73v6YuL9UY3r+GDx+OXLlyISwsDFOmTIGbm5upS3srw9/pyJEj2LFjBxo2bIjq1avDwsLC1KUlW0REBI4fP46cOXMCgMn3Hz9VbGwsrKys0K1bNzx8+BCbN28GADRv3hxffPHFpz+BULqm1+tFRCQqKkq6dOki27dvl4CAANm7d69Uq1ZNvv/+e2Xd+Ph4U5UpIiKHDx8WOzs7mTlzphw7dkyaNm0qdevWlUuXLpm0ro9h+D0ndvDgQalRo4YMGzZMbt26ZYKq0s706dPFyclJjh07Js+fPze67W2/G3Pi7+8vlStXlk2bNkl0dLSIiKxcuVIqVKggkyZNkkePHpm4wpRh+Ds8ffpUvLy8ZNOmTRIUFCTbtm0TOzs7mTBhgtn0aqh1//794ujoKLNmzZKHDx+auKpP07FjR6lbt67s2rVLXr9+LSLm/9pQKyAgQKpXry5r166V2NhYERHZtGmTtG3bVnr06CH+/v5pWs9vv/0mzZs3l8DAQBER2b17t5QrV04aNGggderUkTJlyoivr69ERUWlaV0p5cCBA+Lg4CDDhw+XSZMmiaurq/Ts2VMeP35s6tJShV6vl8DAQGnUqJFs2LBBzpw5I+PHj5fSpUvL9u3bTV3eOx04cEDKlSsnixYtknv37hndZur9ruQ6ePCglClTRq5evWrqUlLE77//Lk2aNJFevXpJtWrVpEyZMrJo0aIk+zPJwSCVAZw6dUq6d+8uAwYMkKCgIBERiYuLk7/++ktcXV1NHqb0er28fPlS2rdvL4sXLxYRkdevX4urq6t4e3uneT1qJf6dvXjxQuLj45VlBw8eFDc3twwdpv7++2+pVauWXL58WUQSQvujR49k165dEhwcLCLm/WFx/fp1cXNzS/KBsGLFCtHpdDJjxgz5999/TVNcCjt+/LjMmTNHhg4dKhEREcry33//Xezt7WXChAlmsxN26tQpcXBwkG3btik75SJi9G9z9a6A1Lt3b2nQoIHs2LEjQ4Ypw5cSJ0+eNFru6+srdnZ20rt3b7l+/Xqa1bN9+3bx8vKSLl26yN27d2Xw4MGyZcsWef36tURERMj8+fOldOnSsmnTJhEx7/epNz18+FA8PT3F19dXRBK2o/Lly8v06dNNXFnKM7xG4uLiJCwsTGbMmKF86SUiMnPmTLMNU3fv3hUPDw9lG9Pr9RIbGyvXrl2T8PBwEUlf253hbxETEyM9e/YUb29viY6OTtfvYzdu3BBHR0fZsmWLvHz5UkREJk+eLJUqVZKFCxcq+zHJxaF96Zxer8eTJ09w5coVaDQa5MmTBwBgYWEBJycnTJkyBSNGjECLFi2wefNmkxye1Wg0yJw5M6Kjo1GnTh08fvwYXl5eqF69OkaMGAEA+Ouvv1C8eHEUKFAgzev7EMPvbOHChThy5AiyZcuGatWqoVWrVvDw8AAAjB8/HhqNBp06dcpww/wsLS0RGxuLzJkz486dO9iyZQsOHjyI6Oho6PV67N69G7ly5TJ1mUYk0bCqmJgYREVFITo6GsD/hgJ17NgRa9euxapVq2BlZYXu3bvDysrKlGV/Mn9/f/z666/Ily8fQkJCkC1bNgCAp6cnNBoNxo4di6ioKPTq1cskr7XEf5dTp07BxcUFTZo0watXr3D+/Hls2bIF1tbWcHR0hKenZ5rX9zESD3OJjY2FiCBTpkwAEoa/9uzZE0uWLAEA1KlTB5kzZ07Xw/zk/8//0Gg0yJQpE/LmzYtnz54B+N/vwsvLC5s3b8b58+exdOlSTJw4UfmdpKbvvvsOWbJkwbp16zB8+HDExsaic+fOyJw5MzJnzoyffvoJer0eEyZMgJOTE4oUKZLqNaUUvV6PTJkyoUmTJvj333/RsWNHNGzYEAMGDAAAXLt2DcWKFYO1tbWJK/00kmho3M6dO/HkyRPExsbCy8tLGXbdr18/AMDo0aMRExODli1bmrJkI4bPxrJlyyI2Nhbr1q3DgQMH8PDhQ2TLlg1r165V9svMTeL3siVLluDrr7+Gra0tChcuDCsrKzg4OGD9+vXo06cPMmXKlG7fx8LCwpA9e3ZUqFABOXLkAJBwzpSIwMfHRxmSndyh7+l30ONnzvDhptVqUaNGDQwePBivXr3CkCFDlHUMYWr06NGIjIxM05PrDfUZTk6Oi4tDeHg4du7cie+//x7Vq1fH6NGjAQDPnj3DunXrcPXq1TSr72NIopN7N27ciBUrVqBevXrIlCkT9u3bB29vb7x69QoeHh4YMWIETp48iblz56brGeHedmJ2jhw58PXXX6N///7w8vJCREQEevXqhU2bNsHS0hKHDh0yQaVvl3inz6BcuXJwdHRE//79ERoaiqxZswIAIiMj4ejoiK5du6JRo0bpPkQBQKdOnTB+/HgEBQVhx44dRhchrl+/PoYOHYoTJ07A0jJtv0OLiYlRPoRv3rwJAHj9+jXu3buHw4cPY/DgwVi8eDEeP36MwMBArFmzBk+fPjW7E+wT73gsW7YMAwcORNOmTbFp0yZl9rr58+ejSJEiWLJkCQ4ePIjXr1+ny52PxK8lQ/2FCxdGiRIlMGfOHNy4cUP5Xbx69QpFihRBmzZtMGjQoDQJUYbtqU6dOmjVqhUyZcqE69evK9u2YUr6Vq1aIU+ePLhy5Uqq15QS/v33X4SGhiI8PByhoaG4ceMGfvzxR7i5uWHs2LEAEkLUihUr8PDhQxNX++kM50n2798fAJAnTx5cu3YNu3fvRkREhLJev3794OXlhVmzZhktN7X4+HhYWVlh7ty5qF27Ns6cOaN8iR0XF4fdu3ebusS3EhHl9Xv58mW8fPkS48ePx+DBgzFz5kyEh4ejU6dOKFCgAObOnQsA6fJ9DEh4L4iMjFT6jYqKAgD07dsXOXPmxOLFi7Fv3z5lsiDVPul4FqU5w+HViIgIiY+PVw5/h4WFyfbt28XFxUWGDh1qdJ+4uLg0HSNuqPHs2bOyfPlyefbsmYiIrF+/Xuzs7KRNmzZG68+cOVM8PT3N5vyNN506dUqmT58uBw8eFJGEoUfLly+XFi1ayNChQ5Xf7a5du6Rnz57p6jB+YonrvnDhghw6dEjOnz8v0dHREhAQIJs2bZLjx49LZGSkiCRsc02aNJHDhw+bqmQjhu3u77//lvnz54uPj4/s3LlTRBLOG2rZsqVUrVpVjh8/LqdPn5YZM2ZIvXr1lOEX6U3iIRiGYWQGhmGLixYtStJfWvd779496d+/v0RGRsru3btFp9PJ/fv35dmzZ/Ldd99JzZo1ZeDAgXLs2DERETl69Kg0atTok4dbpKQ3X9MzZsyQypUry+LFi2XOnDlSs2ZNGTZsmDL8VSRhmJ+zs7McP348rcv9ZIZt69SpUzJx4kQZN26crFixQrm9ffv24ubmJuvXr5fDhw/L5MmTpU6dOsrQclPUu3fvXqlXr540a9ZM+cwRSXifql27tuzYscMktb3Pm0O/rl27Jm5ubspnYZ8+fUSn00n//v2N7jdjxgxp0aKFcm5YevbkyROZO3eu0fa1cOFCKVmypKxYsSLJ+5Up3xcMr4vw8HCjOo4dOyYzZ86U+fPnGw2dbtu2rVkOR0z8fjZ58mSxt7eXuLg4uXTpkvj6+krVqlWldevWMnDgQBk3bpx069ZNGRJn7t41BLF58+bStGlTo2WBgYHSv39/GT9+fJJz29Tg0L50RP7/G7g///wT69atQ1RUFHLlyoXhw4ejQIECyjCz6dOnY8SIERg/fjyAhCNThm/h06rG/fv3Y/jw4ejUqRNCQkKQP39+uLq64tatW9izZw9mzZqFHDly4P79+9i9ezfWrl2LggULpkmNavj5+WHChAl4+fIlqlWrBiBhqFubNm2g0Wiwd+9ejB8/HsOHD0eDBg3QoEEDAOlzlhtDvdOmTcPhw4cRHx+PAgUKICoqCgsXLkSLFi0AJHy78+TJE4wdOxYWFhZmM5uSRqPBgQMHMGTIEDg5OeHRo0eIjIzE3r178euvv2L+/Pnw9vbG4MGDkSVLFmg0GsyZMwfZs2c3demqJX4v2LRpE548eQIHBwe0bNkS33zzDTp16gQRwZQpU6DVatGyZUtlSINhuF9aMQz/DAgIwLVr1zBp0iRliNWGDRsQHByMr7/+Wln/3LlzyJo1q1m9frRaLeLj42FhYYF9+/Zh7969WLx4McqWLYuLFy/i119/hUajQUxMDDp37oxSpUph7ty5mDFjBpydnU1dvmqGmdMGDhyIqlWrIiYmBtu2bcOff/6JyZMnY/Xq1Rg8eDA2b96M4OBgZM+eHdOnT0fevHlTvTbDth8aGgorKyvExsYiV65cqFOnDvR6PVavXo3u3bvD29sbMTEx+PPPP/HixQvY29unem1q/Pbbb9i/fz9GjRqFr776CgCUoZP58uWDiKBdu3YIDQ3FrVu3cOHCBbx48QJnz57Fxo0bsX79euTLl8/EXSSfiODhw4do164d4uPj8f333yu3devWDSKCyZMnQ6vVomnTpsr7dIrMspbMejUaDQ4fPozFixcjJCQENjY2aNasGRo1aqTsHwAJw/1+/fVXPHjwABUqVDBJve9jeG999uyZcnFtCwsLlCtXDuXKlUP9+vWxb98+HD9+XJkC/dChQ2jatKkpy/4gw9/o8uXLuHjxIiwtLVGoUCG4ubnB29sbffr0QdOmTTFhwgQAwP79+/Ho0SN4e3t/2hDZZEcwSjOJE/bBgweVme/WrVsn7du3F3d3d2W2pPDwcNmxY4eUKVNGxo4da5J6z507J46OjrJx40aj5YZJJ1atWiV169aV1q1bS//+/c16koYXL17IlClTxNnZWYYPH270t3j9+rWsXLlSatSoIQsWLBCR9H9i+dq1a6Vy5cpy/vx5ERHx8fERnU4nR44cEZGEox9r166Vzp07S8uWLSUmJkZEEo56mtrDhw/F3d1dVq9eLSIJR22PHTsm1apVk549eyrr3bp1S+7du2eyb8+TQ6/XJ9m2Dh06JPb29uLt7S3btm2TqlWrSvfu3Y2OgKxcuVJ0Op2sWLHCJNumYfvYsGGDlCpV6r1Hmo4fPy5TpkwRBwcH+eeff9KyzHcaNmyYdOvWTfk5NjZWTpw4IUuXLhWRhJlIK1asKNu2bVPed4cMGSJ///230eOYw+tDjadPn0rt2rWNjhL8+++/Ur16dencubOy7NmzZ/Lw4UMJCQlJk7oM2/CRI0ekU6dOUq9ePenVq5fs27dPuX337t1Sr149KVeunLRt21ZGjhxpljOPrVixQlq2bCmDBw9WjkCdPHlSGjVqZDThyvHjx6VHjx7i4OAgnp6e0r59+zSd0CO1LV++XOzs7OTnn39OMhHOokWLRKfTybp168zis/X48eNSpkwZ8fHxkf3798vgwYOlSZMmMm7cOOV9befOnTJ8+HBxcXGRa9eumbjid9u1a5fY2tpK/fr15e7du8ryN9+rjh8/LgMHDpROnTqZ1SiBd9m/f784ODhIu3btxMPDw2hSs1u3bkmrVq3EyclJqlevLlWrVpUrV6588nMySJmxN99U7t69K02aNJG1a9cqt1evXl0qVaokTk5OSiB5+fKl7N692+jFkZYWLlyofNiGh4fL0aNH5eeffxYvLy9l+M6rV69ERIxm5jG1dw3Je/nypUybNk2aNm0qs2fPNnpDf/XqlezevTvd7Si9TVxcnAwbNsxoJ9HOzk6ZjSgqKkri4uLkwoULsnHjRqVnc5ll7erVq+Lm5ma03cfExMiRI0ekZs2acujQIRFJn2H3zR1Vf39/qVevnvJeEBsbKy4uLlKxYkVp3bq10axqa9euldu3b6dpvYkdPXpUWrduLatWrZKKFStKt27d5P79+8rter1eQkNDZejQodK0aVO5ceOGyWpNLDo6WjZu3CjVqlWTIUOGKMuDg4MlODhYQkJCxMvLS5YsWSIiCX+DWrVqibOzc7r/YuXhw4dSo0YNuXDhgoj87zXu7+8vdnZ2ykxypnD48GEpX768LFq0SHbv3i3Dhw8Xe3t7ZeieYZhf06ZNpVu3bkazV5qbDRs2SOvWrWXAgAHy7NkzOXnypNSqVUv5fEzs/v378uLFCwkLCzNBpalrxYoV4uLiInPnzpUnT54kuS2tp9V/k16vl+joaOnXr5+MGzfO6LZly5ZJkyZNlM/JgwcPyuTJk022//Wxzp49K926dZNy5copwTzxZ3ni/aFjx46Jq6ur3Lx5M83rVOPevXvi4uKifC4GBQXJb7/9Jvb29jJ+/HhlvfPnz8vVq1fl6dOnKfK8HNpnpn799Vfcu3cP48aNQ5YsWQAknBxfqVIleHl54enTp+jUqRNcXFzQuXNn9OrVCz179oSPjw90Oh3q1atnshMDc+fOjfv372PVqlU4efKkUkeJEiXQrVs3HDhwAIULFwYAsznBP/FQvJMnT+LJkycoUKAAihUrhoIFC6JLly6Ij4/HiRMnAAB9+vSBRqNBlixZUL9+fQBQhv6kF28OP7SwsEBkZCSyZ8+Oo0ePYsCAARg8eDBatGiB+Ph47Ny5E5kzZ0bjxo1hZ2cHIKHntJ644F3y5s2LuLg4XLx4EcWKFQOQsH2VL18eer0ejx49ApD+Tphdv349Dh8+jAULFsDS0hJarRZxcXFo2LAhmjdvjmfPnqFNmzaoW7cuOnXqhCZNmmD58uV49eoVatSogbZt25qs9itXrmDw4MH45Zdf0LhxY7i4uMDLywsTJ07E8OHDUbhwYWg0Gty/fx/e3t4ICwsz2dCdN2XKlAkNGzZE1qxZMXXqVAwePBhTp05V6gsICEBwcLBywdegoCBUrFgRlSpVQqNGjQCkv23NwNraGi9evMC1a9dgZ2cHS0tLxMfHo0iRIihZsiQCAwNNUldAQAAWLVqEwYMHo02bNggJCcGUKVNQqFAhjB49Gnq9Ho0bN0bt2rUBJEw0k9ZDWT+G4b23VatWEBHs3LlTuWC4TqfD2bNnkTNnTuj1euj1ekRGRqJw4cJmNzuqGvL/w65u3LiBJ0+eID4+Hg4ODvjiiy/QqVMnxMbGYs2aNRAReHl5KTOoderUybSF438zVkZHR+PVq1cA/vd537lzZ1y6dAnbt29HixYt4OHhgWrVqqXJhCsf622nGlSsWBFZs2ZFaGgounXrho0bN6JAgQJKX1qtVvmbVatWDTY2Nrhx4wa+/fZbE3XxYUFBQciaNStq1aoFIGGfoF69etDr9fDx8UGtWrVQqVKlFB/max57QJRElSpVULt2bWTJkgXh4eGwsbGBra0tbGxsYGlpiblz50Kn02HUqFHIlCkTihcvjoMHD+Knn37C3r170yygGF5oMTExyhtHlSpVcPXqVaxatQrOzs747rvvUKlSJdy4ccNopifAPHY0JNHsNdOmTcPevXuROXNm5MyZEzY2Nhg4cCB0Oh1+/PFH5UrzERERGD58uNHjpKcQBfxvnPSDBw9QuHBh6PV65MuXD6tWrUJgYCAGDRqE1q1bAwBCQ0Nx4MABuLi4GD2GqXqWt0zDmi1bNpQvXx4HDhxA0aJF4eDgAADIlSsXChUqpNT6tvuaI8OH31dffYXRo0cjU6ZMeP36NbJkyYKvv/4a9evXR6ZMmTBz5kw4ODigX79+yJYtG+zs7HD8+HFkzZoVlStXNtn0yAEBAThy5AhatmyJxo0bIzY2FsWLF8emTZvg5eWFCRMmoGPHjvj777+xaNEiHDlyxOzO+ciaNStq1qwJEcG0adOUMAUAERERyJw5M86dO4f4+Hhs3rwZcXFx+O6776DRaNLNFytvez3kzp0bXl5e2LRpE7788kt4eHjAwsICFhYWyJQpk8leS1myZEG5cuVQt25dPHv2DB07doSbmxt++OEHjBw5EqNGjUJsbCxatGiBunXrplldaiX+DGzdujX0er1yTkpQUBCCgoJw//59WFpaInPmzACAFStWmKrcT2bYTg4cOIDRo0ejcOHC8Pf3h6urKxo1agQPDw907doVQMJ5k69evUKnTp2SPR11SjO8F+fKlQv//POP8j5seI1XqVIFGzduRGRkJLJly2a2IWr//v14+vQp4uLiUK1aNZQpUwZjx47F+PHj0bFjR6xatQoFChRAXFwcLC0tldf2xo0b8eTJE7M7z/BNOXLkwIsXL3D9+nXkz58fQMIXYpUqVUJMTIxy2YYUlyLHtSjFnDt3TkJDQ5WfT58+Lb1795Zz584pyyIjI6VVq1ZG49dHjRolf/zxR5rO4mMYtnLs2DEZPHiweHl5yYQJE5Tx6G9eMXrGjBnSqFGjNBtPr9ayZcukatWqyvkNc+bMkTJlykizZs2UcbQhISEycuRIGTFiRLodtpP4kP3JkyelatWqcurUKRFJmOGqQYMG4u7uLnfv3pWXL1/K06dP5YcffpAWLVqYxTC+xLPzLVu2TMaPHy9nz54VvV4vN2/elEaNGsmPP/4oa9eulUuXLsmkSZPE0dHRaDhZenDx4kWjny9duiReXl5GQ0bi4+OlY8eOMm/ePGXZuHHj5MCBAxIQEJBmtb7p8ePH0rRpU3F2dpbJkycryw3nTN29e1dq1KghjRo1kqpVq5rVOSxvG6ZrOPfU1dVVBg0apCxftGiR1K9fX2rWrClt2rRR+ksv7w2GOv38/GTu3LkyZMgQOXjwoAQGBsrjx4+lX79+4unpKUuXLpWjR4/KxIkTpUKFCia9gPWLFy9EJGG2sV69eimzuo0dO1ZcXFzE3d1dXr58aZZ/g8SzvkVGRhrNprt27Vpp3769dOnSRQICAiQ+Pl5CQ0MlLi4uXZyb8iEnT54UJycnZVion5+flClTRjp06CC7d+9W1ps7d67Ur1/fLGbne/z4sYSEhCj7LMHBwVKlShXp1auXREREKOuNGDFCOnfunGT2VHMyZcoUcXFxkf79+0uTJk2kYcOGsmHDBhFJ+Kzp2LGj1KlTRx4+fJjkvqdPnzb58Mo3ve31/fz5c+nYsaMMGjTIaIh4dHS0tGjRItVmUNSImNmFOj5jJ06cwNixY9G0aVN06NAB2bJlw7lz59C7d284OzujY8eOKFeuHACge/fu+PfffzF69Gj88ccfOHjwINavX69cwC6tHDp0CP3798ePP/6I7Nmz48yZMzhx4gR2796tDN/7+++/sXv3buzevRurVq1CqVKl0rTGd5H//5ZMRBAUFISRI0eiXr16aNy4MY4dO4Z+/fqhadOmuHr1KuLj4zF+/HjodDpEREQgW7Zsyn3Tw9ENg8TfTu3duxdnzpzB5s2bUaxYMQwdOhQuLi64d+8eOnfujEyZMiEqKgoFCxZEXFwcNmzYACsrK7P4pn3//v0YOnQoypUrh7CwMNy/fx9NmzZFr169EBQUhIULF+L06dOwtrZGpkyZMHXqVJQuXdqkNatx7tw5tG3bFoMGDUKXLl0AAAcPHsSyZctgZWWFCRMmoEiRInj58iV++OEHFChQAJ6enrhy5Qq2b9+OXbt2meQikIlfD76+vli2bBmyZ8+OKVOmKENCYmNjYWVlhZCQEDx58gT58+c3myNRies/f/48oqOjUbx4ceTPnx+vXr3CwYMHMXXqVDg5OWHGjBkAEq77Y5gdyjDs0lyGu36MAwcOYNCgQXB3d0dAQACio6ONjoKuX78evr6+yJcvHzJnzozx48enyXu44X0mKChIeR/SaDSwtLRETEwMunbtimLFimHMmDEAAG9vb3z77beoW7cucubMmer1qWXYto4ePYr169fj/v37cHJygqurqzIUcc2aNdizZw/+85//oHv37ihatKjRfdOrmJgYzJkzB3q9HkOGDMGDBw/QuXNn6HQ6PHv2DPHx8ejRo4cyJOvFixfInTu3SWs+cOAApk2bhvj4eJQvXx5NmjRBtWrVcP78efTp0we5c+dGkSJFYGVlhWPHjmHDhg0oWbKkSWt+lz179mDq1Knw8fFB2bJl8dtvv2HEiBGYMWMG6tSpAyDh2mRDhw5FiRIlMGvWLBNX/H6G18OlS5dw+/ZtBAYGol69eihWrBhOnjyJcePGoUyZMqhVqxa+/fZbbNmyBdu3b8fmzZuNZohNyYLITMTFxcno0aOlefPmsnDhQuXI1Pnz58XDw0P69OmjfEt948YNadu2rbi5uUmDBg1MMjvMixcvpF27drJy5UoRSfg2wMXFxWi2wODgYJk8ebJ07drVbE4if5PhG+izZ8/KgwcPlGt5GE5YNMxc5+7ubnTSvjl+4/mxJk+eLO7u7rJ06VKZMGGCNGrUSDw9PeXPP/8UkYSJJfbs2SO+vr5y7Ngxk00sYTh6lvgo2v3796VGjRqyadMmZfmmTZukYcOGMnHiRKX+kJAQuXfvntER3vTi2bNn4uPjI46OjrJs2TJl+aFDh+T777+X1q1bK0cFLl++LO7u7lKvXj2pVauWSd4LDK+F2NhYo7/V9u3bpUGDBjJixAijbzTNbXKWgQMHytGjR5Wfp06dKhUrVpRq1apJxYoVZf/+/SKSMFPnjh07pGrVqkZHpgzM+Rpyb6vtyZMn4unpqbzXiYgcOHBAunfvLl27dlVGFYSHh0tISEiqX4Ns8+bNcunSJaXWvXv3So0aNcTZ2VkaNmwokydPVq4RNWPGDHF3d5cVK1bI2LFjpUqVKiY9CvsxDh8+LOXKlZP58+fLli1bpF+/flKrVi2jb8rXr18vDRo0kJEjR5rFCICUoNfr5erVq3L79m0JDw+XZs2ayS+//CIiCaNw7OzspHnz5rJ3715lfVN68OCB1KhRQ9avXy8rV66UPn36SIMGDZRrJoaGhsrEiRNl6NChMnr0aJNO5vM2ht+f4f8LFiyQvn37iojI7t27xcHBQdavXy8iCbPbGj5L/P3908172N69e8XBwUFatmwp7u7u4uTkJPPmzZOYmBg5efKkdO3aVezs7KR27dqp/rnIIGUmDENCRBKG5rRp00YWLlyofHCdO3dOPDw8pHfv3kYbxN27d5WhDmnt+fPnUrNmTbl9+7Y8ffpUqlWrJiNGjFBu379/v4SGhkpwcLDZXsxt06ZN0qFDB6MX6KJFi6RHjx7KjIKbN2+Wbt26yYIFC8xuBzA5bt68KTVq1FBCk0jChTd79+4tnp6eRjO+JZbWvRv+Jv7+/rJy5Url73Hr1i2pXr26XLp0yWh9X19fsbOzM6thYp8iIiJClixZIhUqVDDa0T148KB8//330qpVK7lz546IJASvR48emWQ4jOHD+sSJE9KvXz/54YcfZODAgcow482bN0vjxo1l5MiRZjc8RCSh/q5du4qjo6OcPHlSLly4IPXr15ezZ8/KrVu3ZOLEiVKmTBnZunWriCSEqZ07d4pOp5P58+ebuPqPY3gt3bhxQ8aPH6/8/O+//4qLi0uS1/y+ffukTp0673wvSA2xsbHi5OQkDRs2lOvXr8vVq1fFxcVFlixZImfOnJFp06ZJ69atpUePHhIcHCwBAQEycuRI8fDwkBYtWpj1VNMiCZ/V3333nTK0LSwsTKpUqSINGjRIEqY2bdr01iFW6cXbgpAhFP7xxx/SuHFjefDggYgkDPnz8vKS3r17J5mpOC0lrjkgIECGDRum/Hz16lUZMmSI1K9fX/lSxcCc9wkMw9lnzpwpU6dOlQsXLoidnZ2sW7dORBJ63rp1qyxevNhoBmVz62nhwoVG24a/v79Uq1ZNtm7dqsxw6ePjIw0aNFBmTH358qUEBATI9evXU/1z0XyuePiZMwwFuX79OgoWLIiHDx9i7dq12LBhA8LDw+Hg4IApU6bg+vXrWLJkCc6fPw8AKFasmMlm8rGwsMB///tfXL16Fa1bt4abm5syzOLx48c4cuQILl68iC+++EK5GKg50ev1iI2NRWRkJEJCQpTlr169wu3btxEcHAwAOHLkCOzt7dG9e3dYWFggPj7eVCWnCI1Gg5CQEKOhIk5OTmjZsiWCg4Ph7e2NU6dOKbfJ/4/+TcvhfIYhiDdu3ICnpyf0er1yAu+rV68QGRmp1PX69WsAgJeXF/Lnz48///wzzepMDXq9HgBw69YtvH79GtbW1vD29saaNWsAAB4eHmjTpg2yZs2K0aNH486dO8ifPz8KFixokhnvNBoNDh06hF69eiF//vxo1KgRzp07hy5duuDp06do3rw52rRpg+vXr+PXX3/Fv//+m+Y1vo9Go8HChQtRvXp1/Pzzzzh79iw8PDxQsWJFfPPNN/jll1/QqVMnjBo1Ctu3b0fmzJlRq1YtLF26FN26dTN1+R+U+LXUvHlz5MyZUxnea2lpiZw5cyqz8Bm2PcNwn6NHj6ZJjSICS0tL/PHHH4iPj8fo0aPxzz//oG7duvjhhx/g6OiIgQMHonXr1ggODsa6detQuHBhjBw5Elu2bMGyZcvMfuhujhw54ODgAA8PD+V1UatWLUyfPh02NjaYPXs2fH19AQAtWrRI82H6KUX+f9jV6dOnMX/+fPTr1w/Hjh3D06dPASS8X0dGRio/nzlzBg4ODpg4caJyYWJT1XzixAl4e3tj5cqVyuc/AJQpUwbt27dH2bJlMW/ePOzZs0e5zZwuHA787/N68eLF8PHxAZAwQ9+yZcvQqlUrTJw4EW3atAGQ8LfYvXs3AgMDjSbIMPXQ/cQWLFiAWbNmITIyUlkWEhICCwsLlC9fXpmMpVevXqhVqxZWrlyJp0+fIkeOHChcuDBKliyZ6p+L5rUFfMY0Gg2OHDmCpk2bIjo6Gm3btsV//vMfbNmyBevXr1fC1NSpU/HXX39h8+bNiI6OTrP6DC/OuLg4ZVmuXLmQK1cuDB06FGXLlsW4ceOUF+D69etx9epV6HS6NKvxQ+SN0wG1Wi3q16+PJ0+eYO3atcryChUq4Msvv4SXlxcaNmyIu3fvKuepiIhZvcmoYejfxsYGOp0O//zzD6KiopTbXV1dodPpkC1bNsyePRs3btwAkPYzKybe8WvVqhW6detmdNX7cuXKwc7ODgMHDkRUVJRyeYDXr1/DxsbGbM63SS6tVotDhw6hc+fOAICWLVuiatWqmDlzJpYvXw4gIUy1bdsWr169wuTJkxEbG2uyekNDQ7F48WL07NkTQ4cORdWqVSEicHBwUGbdatGiBRo0aIDAwEBkz57dZLW+yRActFotpkyZAjc3N8yYMQN37941+sJk4MCB6NSpE8aMGYN169YhS5YscHV1NfsvVuLj441eS99//z169eql3P7111+jRIkSmDdvHm7fvq3sFMbHx6NQoUIoWLBgmtSp0WgQFxcHa2trbN68GaGhoRg5ciTu3Llj9L7dsGFDlC1bFocPH4aIwMrKSpld1dzlyZMH/fr1Q548ebBkyRKULl1amRHWcG7Nb7/9hrCwsCSfVemJYXa+nj17IiAgAFmyZMGIESMwd+5cvHz5Et988w2yZMmCcePGoWnTpli9ejUaNWpkkvcFw+9Zo9Hg2LFj6NGjB27fvo0zZ87g6NGjOHDggLJumTJl0KFDBxQtWhSrVq1SduzN4dy18ePHY8eOHQD+V8/jx4+V89RdXV3Rr18/WFlZ4dWrV3jw4AGuX7+OXr16ISQkBEOGDDFZ7e9jmC14zJgxKFGiBC5evIhXr14plwTIlCkTNBqNMiV9nz59lC9k0lSqHu+ij6LX6yUyMlI6dOhgNMOVSMJsMB4eHrJ48WJlmN+lS5fk3r17aVqfSMLsfD179pShQ4cqh4ZFRLp06SJVq1aVFStWyOrVq2XUqFFib2+fbq6+7uvrKy1atFCGSYmI/PXXX7JixQpZsGCBMiTB3A53f8j7xjpPnDhRXFxcZPfu3RIZGSkiCYfCe/fuLWvWrJEmTZrI6tWr06rUJPz9/aVMmTKycOFCo+UHDhyQ+Ph48ff3l+bNm4u7u7ucPHlSTp48KbNmzZJKlSqlu9n53hQVFSVdunSRqVOnKssePXoks2fPlvLly8uaNWuU5UePHpVHjx6ZokxFUFCQeHp6yosXL+TZs2fi6uoqI0eOVG4/ePCg8m9zHeJreG+Ni4uTkSNHSvny5Y2GvhqMGjVK2rZta/JzONS4efOm2Nvby/Tp042W7927Vx48eCDx8fHSsmVLqVmzpqxbt04OHjwoU6ZMkQoVKpjsoqJRUVHSpEkTcXR0FD8/P6Oh73/88YfUqFEjxS6mmRoMnxVPnz6VO3fuGG0vcXFx0q5dO6MLu44ePVpWrlxptjPaqnH//n2pXbu2coHauLg4KVOmjMycOVP5Pfzzzz+yePFimT17tlkM9w0ODpZNmzYp5w35+/vLqFGjxMHBQQ4cOGC07vXr181q23v48KH06tVL6tevL/v27VOWd+3aVXx8fJSfnzx5InPmzJFy5cqJq6urNGrUSDp27Ki8tsx1/+bnn3+W9u3by9q1a8Xe3l4Z0t+kSRNp1aqV0bqhoaHSqFGjJMMvUxuDlBn5/vvvZcKECSJifFJ/69atxd3dXWbOnGmyHZGTJ09KmTJlZNCgQdK1a1epVKmSeHt7K7cPGTJEWrVqJQ0bNpSff/7ZrCaWSPwG8euvv0rfvn1l165dyrLr169L9erVZc+ePR/1GOlB4hC1efNmGT58uIwbN062bNmiLB80aJC4ubnJwIEDZe7cudK6dWvljalDhw7Sp0+fNK9bJOF3PXnyZNHpdEY7cosWLRKdTqec2Hv37l3p1auXVKlSRTw8PEw26UpKi4qKknr16smUKVOMlj98+FDat28vOp1OlixZYqLq/sewjcXExEjjxo1lyZIlUqNGDRk5cqTy4fzkyRNp166d/PHHHyJi+pPIDd48J7Jfv37KORsiIv3795eKFSu+9RyhN0/kNneG19Kff/6p/F0WLFggZcqUUV4ver1e+vfvL40bNxZ3d/c0PefI8Ht8+fKlvH79WpngIjIyUmrXri2NGjWSv/76S6KjoyU+Pl7Gjh0rDRs2TPWJL9Rat26d+Pn5KZ/de/fuFTc3N2VCqJMnTyrnc3h7e0vLli1l9erVMmnSJHFxcTH5FyLJpdfrjV4L169flyZNmoher5c7d+5ItWrVZPjw4crt//zzjynKfKe7d+8qk0kl3i8ICAiQsWPHioODg9GXQebo+vXrMnz4cKlXr56yH9O5c2dZtGiRiBjvT/r7+8vff/8t169fV94HzXlSk7///lsaNmwoJUuWlMWLFyvLDZOweXl5yfXr1+XKlSsyZ84ccXZ2NnovTwvpZ47WDMwwvCRXrly4du2aMn2uYfpXBwcHbN++HTdu3DAaWpfaNRmGeTx69Ajh4eEYMmQI2rdvj5cvX+LQoUMYPXo0AGDEiBGYPHkyQkNDkTlzZuWijebCMBRvx44dsLa2RlhYGJYuXYolS5agW7duqFGjBlq3bo05c+agSpUqyJkzZ5LpZtPbcL7EFxjesWMHatSogejoaMydOxePHz9G7969MXXqVCxfvhz//PMPjh8/jqJFi2L8+PEAEi5EWqJECZPUbmFhgQ4dOuDRo0fw8vLC7t27sW/fPixfvhzLli1T6ipWrBh8fHzg7+8Pa2trZMmSxSTnCKW0rFmzws3NDXfu3MH9+/eVKZALFSoEW1tbPHz4EBs2bECzZs2QK1euNB1aYnhdnDt3Ds+ePUPFihWRP39+VK5cGUuWLIGtrS3GjRunrG8YlmyYLtschsEkfm+7efMmwsLCsGfPHnzxxRfKVPIzZszAgAED0LdvX8ydOxeVK1dW7p/eLnswZMgQBAYGYsCAAfj111/x999/Y9WqVViwYAFKly6tfM7MmDEDwcHBiIuLQ9asWdPkvFbDcx85cgTr169HYGAg8uXLB09PTzRp0gTbt29Hs2bN0LNnT5QsWRLFihWDn58f5s+fbzZDRA3bwurVqxEdHY2ZM2fC2toa06ZNQ/v27WFra4vFixdj+PDhGDx4MOrWrYtGjRrhxYsXWLVqFWxsbLB48eI0G0aZ0gyvgwMHDqBEiRKIj49HREQE7t27hx9//BHVqlXD2LFjAQAXL17Exo0bjaZ2N7W8efOiW7duWLZsGZ48eaIsL1y4MDp37gwLCwv06tULCxYsgLu7uwkrfbeSJUuiXbt2EBHMnTsX1tbW+Pbbb2FtbY3AwEBER0crlwSIjY1FhQoVlPvq9XqzvlyDiODff/9FsWLFcOHCBQQEBKBIkSIoU6YMZsyYgQkTJuD777+HtbU1LC0tsWTJktSZ4vwDRVIaM3x78/TpU3nx4oUyo8jDhw/F0dFRBg0aZDSDyqRJk2TDhg1pcrHdJUuWSEREhPJzQECAODg4iLOzs2zbtk1Z/urVK9myZYuUKVNGOYpmbhIfRVq2bJmULFlSgoKCJDIyUu7fvy+//PKLeHl5ibu7uwwePFhq164tx48fFxHznsb4Y23ZskU8PDyUKfN37doltra2UrZsWaO/WWxsrLK9RUZGyqxZs8TJycloqKMpPHv2THr06CGlS5cWOzu7JBeozQh/I8N7QXBwsAQFBSnLDxw4IHXr1pUZM2YYDeP19vaWpUuXSlhYmMlq3b9/v1SoUEHmzZun1Hbz5k35/vvvpUWLFjJ//nzZvn27jBw5UipUqGC2Q3wNlwCYOnWqdOvWTUqVKiVDhw41GrYzcOBA0el0ygW505vE3zT36dNHdDqd2NvbG031LpJ2ryXD8yQ+mvTHH39I2bJlZdmyZXL48GEZM2aM6HQ6ZQhPVFSUeHl5iU6nkz179ph0Zrc3vfl7a9eundStW1e2b9+e5Ihy7969xc3NTRl+FR0dLcHBwSabdTclXblyRXQ6nXKB106dOolOp5OhQ4carTdt2jRp1aqVctTRXISHh8u0adOkZMmS8vvvvxvddv/+fZkyZYrJPw/fZHg/TrwNXrt2TYYNGya1a9dWjrK5u7tL5cqVxdXVVSpXrizdunVLN0fTRUTu3LkjJ0+elIMHD0r79u3lxx9/TDJ8/+LFi3Lz5k2jz9C0xCBlIvv375fatWuLh4eHdOvWTRmP/9dff4mjo6O0bNlShgwZIv3795eyZcumyXkfgYGBSc4Vevr0qcybN08qVapkdM6GSEKY2r59u+h0Opk5c2aq15dcV69eldWrVycZ6yyScFjf19dXPD09RafTSY8ePUxQYcp480N96dKlylSghw8flooVK8qyZctkwYIFotPpjMZPiyT8rfv27Svu7u5mM/zi6dOnMmLECClXrpwylj4jBKjEDKGpTp060qlTJ2VHcf369VK/fn3p0KGDjBw5UgYMGCCVKlVSrvlhCqdOnZIKFSrIli1bkgx3vXfvnhJOmjZtKt27dzerIb6JnTp1SipWrCjnzp1Tlh05ckRKly4tv/zyi9HOuo+Pj1kPffmQxH+nkSNHSpkyZeTo0aNGX9alJX9/f+nUqZM8ffpUXr9+Lb1791aGID19+lTc3d2Vc+wMtUdGRkqTJk3MMkQ9ePBA1qxZo3xGN2/eXHQ6nXTu3Nno3C6RhDBVs2ZN2bFjh0RFRaV5zanhxo0b4uvrq/wNRUT+/PNP8fLyklatWom/v7/89ddfMmXKFJOfO20IEFeuXJHdu3fLunXr5PHjx8rfafLkyVKyZEnZvXu30f3M7fWf+DPwzW3s8uXLMmrUKKldu7ZMnz5dmQb8n3/+kWvXrpn9aQqJA+Kb71G//fabEqbM6ZpxDFJpyLCBBAQEiJOTk6xZs0ZWrFgh/fv3F3d3dzly5IiIJJxXMGzYMOndu7f07t07TXdGDBvu2bNnlW8Nnz17JgsWLJCyZcsajVEVSfi2cNeuXWZxwqiIyPDhw42+lbhw4YLodDqxtbU1OgfqzTeToKAg2bVrl9SuXVtOnDiRZvWmhiVLlig7Svfv35enT59KgwYNZOnSpSKSMFmJg4OD6HQ65WLKBteuXUvz8cUf8vTpU/npp5/E0dFR+RBO72Eq8UnXlStXlvnz58umTZukcePG4uHhoQTZo0ePyuzZs8XLy0t+/vlnkx/dmTlzpvz0008ikvDaP3PmjAwZMkSGDh0qfn5+IpJwnaXo6GiT7ah/jBMnToi7u7s8ffpU9Hq98n6wb98+KVmypEyYMCHJTru57Uy9z5vfOCd+v+vbt69UrFhRDh48aJK/0datW8XLy0tEEo4E1KpVS44fPy7BwcFStWpVo4lKtm3bphwNNKdv0RNfl6t27drSs2dPo/Novv/+e+W6ZG9+1nz//fdmeY5Xcjx9+lSaN28udnZ2Mm/ePGV5dHS0HDx4UNq1ayd2dnZSr149adWqlcnfv0QSzl2rUKGCtGzZUuzs7MTT01PmzZunBNspU6aIra2t0Qgcc5L4s2/dunXSt29f6devn1GQvXTpkowcOVLq1q2rbJdvTnhijgw1Hj9+XEaPHi1t27aVrVu3Gu1fGsJUjx490nTStfdhkEpFiU/CNGy4Fy9elGXLlsm0adOU9W7evCnDhg0TNzc3ZaM3vFhM8UEXEREhnp6eUqNGDeXNPigoSBYuXCgODg5JwpS5eP78ufTo0cPoG5qoqChZtWqVlC9fPsmsVW8KCgqS7777zqSz1SXHmxNLuLq6Gg2DO3nypNSrV0+ePXsmIgknpg4YMED++OMPk72hJq7ZsIP6vm392bNn0rNnT3F2dk63w6zedPXqVTl48KDMmTNHWRYdHS1eXl5Ss2ZNo6OC0dHRSb55TEuGv9fMmTOlVatWsmvXLunTp4907dpVvLy8pG/fvtKgQQOzC+EixjsQhj4uXbokOp1O+dLEsA0+efJEqlatKiVLljSaTMecGXp6W5+JvRmmKleuLHv27Enz7WrhwoXStGlTpcZhw4bJ3LlzpXr16jJy5EilzpCQEBkyZIhy9NOcgpRIwpE1R0dHmT59+ltncWvVqpW4u7vL2bNnk/w9njx5klZlpqhHjx7J2rVrZfHixXLz5k2JioqSlStXSu3atZVw/KZr165JUFCQhIaGpnG1Sd28eVNcXFxk8+bNEhkZKXFxcTJx4kRp3bq1/PrrrxIbGysREREybtw4qVSpklmH3WnTpomLi4vMnDlTJk+eLDVq1JBffvlFuf3KlSsyYsQIqVSpkpw6dcqElapz8OBBsbOzk5EjR8qECROkdu3aMnjwYLlw4YKyzq5du6RJkybSt29fs/iCi0EqlSW+onJwcLD07t1b7OzsZMCAAUbr3bp1S4YNGyY1a9Y0OnJiqg+P69evS+PGjY2+OQsMDJSFCxdKpUqVZO7cuSap613e/D1t3rxZuTJ8VFSULF26VHQ6naxateq9j/PDDz/IqFGjksxElB5cunRJxo8fL5s3bxaR//1OLl++LPb29rJixQp5+vSp/PDDD9K/f/8kIT+tBQQEKEcPDxw4IN7e3vL69et3rh8YGCgdO3aUGjVqmPXRjjcZfs9hYWHKt56vX78WDw8P0el0MnjwYKP1DWGqbt26cunSJZNth4bnPXfunBw9elTi4+Pl+vXryiyigwYNkmPHjolIwtDRFi1amPX5Hlu2bJG1a9cqM6f98ssvUqtWLfn777+VdUJCQmTixImyc+dO0el0Zj9bl0FAQIAyTHHPnj3SrVu3t76uEy/74YcfxN3d3eic2JRmCBCJX9fz5s2TTp06KT8vXLhQGQqXuJYZM2ZI7dq1lfdxc/L69Wvp06ePjB071mh5TEyMBAQEKJ/7Xbp0kerVq8u5c+fS/VH0GzduSK1atWTgwIHi4+Oj7Be8evVKNm7cKLVr15YBAwYYzeYpYtojiQ8ePJBDhw4pPx8+fFhq1qxpFHyjoqLE29tbGjZsqIS9iIgIszuPKzHD6BnDF6Z79+6V8uXLi729vfTq1UtZ7/z587Jo0SKzPQL1puvXr4uHh4cydX5sbKw4ODhItWrVpG/fvsp5kyIJ73Pm8t7AIJWKwsLCpHbt2kZDFf7880/56aefpEKFCkYJW0Tk9u3b8vPPP0uDBg0kMjIyzd6AEn/YGXYyDPU0aNAgSZiaNWuWVK9eXUJCQswmbERHRys7qeHh4eLk5CSNGzdWvvl7/fq1LF68WHQ6ndF1eBI7ceKEuLm5me15He9z5coVsbW1FVtb2yRh8eXLlzJz5kyxs7MTd3d3ady4sck/5KKjo6Vz585SuXJl2bhxo+h0OqOpZ98lKCgo3X2bq9frJSQkRJydnWX58uXKdbsePHggXl5eUqdOHWW8t+HvER0dLfXr15cmTZqYJDQmnliiUqVKMmfOHKXGFy9eJPkAmzFjhnh5eZnFt85vExcXJ507d5bGjRsrRzj8/f2lb9++4uzsLGvWrJHt27fL999/L61bt5bo6Ghp1KiRWZ/7mViXLl2kUqVKMm/ePClVqtR7hyUl3qlKi+vhPH36VPr06aMc/Zs7d678/PPPRusYJiYZOXKkTJ48WQYNGiQVK1Y0m3M13xQbGytt2rQx+iz5888/ZcKECcqOX+/evUUk4W9ToUKFJJPlpCd3794VJycnmTFjhtERTMO+w6tXr2T9+vXSuHFjGTRokMm/pBNJ2O6cnJykXr168ttvv4lIwuiMqlWrKkPCDL1ERkZKmTJlPuozyBQS79+IJJw/axjJcPjwYXF0dJSVK1fKpk2bpFSpUkZHpgzSQ5i6cOGCTJkyReLi4uThw4fi7u4u48aNk71790q5cuWkf//+cvr0aVOXmQSDVCoKDw+XFStWiIuLi4wfP15Zfvr0aenevbs0btxYzp8/b3Qff39/ZQhWajp//rzRTs+hQ4ekR48e4uXlJVu2bFFmBXtbmHr+/LlZXThw37590qtXL2ncuLEyTvvx48fi6ekpzZo1MwpTS5YskdKlSxuNJzYIDQ01qwvtvc/brmWzefNmqVixovTo0SPJhAQvX76UW7duyYkTJ5Q3VFMfEn/58qXUrFlTbG1tleGU6eHNPrkmTZokZcuWlbVr1yrfvD98+FAZFmPY9hKHKVMOlTt58qTY29vL1q1bjcJc4m3u1KlTMnnyZHFwcDCL8x8M3rYdvX79Wvr16ydNmjSRbdu2iV6vl4cPH8qMGTOkSpUq0rBhQ+nUqZOyc9W8efN0Ncy3bt26UqpUqY8Kf2n5OgsICBAvLy/54Ycf5OrVq//X3r3H5Xj/fwB/3SWHhpqKmOO3rXs2Q05bxDQJKylEkVFSqeRYKDnPuYikzDKkpDmEnGdIDps5b6EjHZTORefu9++Pfve1ctiEdd837+fjscdju+/rbu/7vq/7uj7v6/p83m/y8fEhd3f357YLCQmhtWvX0qhRo2j16tV0//79eouxroqKimjo0KG0YMECSkhIoMDAQBoyZAhNmzaNduzYQREREWRoaEibN28mIqKJEyfKzXqOuiorKyNPT0+aOXNmrTuLz56DiouLKTQ0lEaOHEnOzs4yv8h6+fJl+vTTT2nUqFE0depUOnLkCJWWltKAAQOemxGUnZ1NI0aMoJiYGBlF+3IvGt8QVf+ucnNzycLCQhjPJCcnU//+/UksFj9XNVIRSAtjVFZWkpubG82bN0+4uD927Fjq06cPeXt717rgLw9ERET1W3D9/VJUVITDhw/Dz88PZmZm8PLyAgBcunQJoaGhSE1NxeLFi9GtW7d6iYeIcOfOHVhaWmL69Omwt7fHzZs3MWXKFAwfPhwlJSU4cuQIJkyYADs7O2hrayM+Ph5z5sxBfn4+oqKi8MEHH9RLrK9iz549WLt2LUaPHg0iwq5du7Bw4UJYW1sjIyMDtra2aNKkCQICAqCtrY3y8nJs2bIFly9fRmhoqNADgxSoL0zNPjjFxcUQiURo0qQJgOrPw9/fHyNGjIC1tbXQT+HZ9yft3yIL0lgKCgpgbm6OyspKqKqqIiQkBFpaWjKN7b9Q8/vy8/NDUFAQvLy8YG5ujg8++ABpaWmws7PDhx9+CD8/P7Rq1Uou9kcfHx+kpaXB19cXJSUliI2Nxf79+9GsWTP06dMHffv2haenJzIzM+Ht7Q2xWCzTeF/k4cOHaNu2rfD5l5WVwcPDAykpKfjuu+9gamqKBg0aIDs7G02bNkXjxo0BAOvWrUNUVBR27tyJdu3ayfIt/KuSkhIoKyvD1NRU+O18//336NGjB5SVlWvtS7Larx48eIClS5dCVVUVaWlpAIBPPvkESkpKQh8bkUiEoqIiaGhowNPTU6572wDV53B7e3u0atUK+fn58PDwgL6+Pjp06ICKigo4OTlBXV0dPj4+sg71jZSUlGDMmDEwNTWFo6Pjc8/XPL5VVlZi9+7dOHXqFHx8fNCqVav6DrcWT09P/PXXX2jfvj1yc3MxZcoUqKmpwcnJCX379sWUKVOgqqqKAwcO4Oeff8bevXvlqp/Xs+ObkJAQeHl5Yfz48QCAW7duYfr06di+fTs6duyIBw8eYOPGjRg1ahS+/PJLuT6PSo9FRUVFqKysxIcffig89+TJE3z33XcYNWoUxo8fj7KyMixevBgff/wxhg0bJlffEQBwIlUP/imZ2rNnD27fvo0NGzaga9eu/2kcNU+iu3btwooVK+Dh4SE8NmnSJADA0aNH4e3tDQsLC6FB5b1797Bo0SKsXbtWbgYWERERWLJkCTZs2AAjIyMAwOzZs9G9e3cMHToUWlpaePToEZydnaGkpITNmzdDW1sbFRUVwolbHgasdVHzpLV9+3bExMSgtLQULVq0wMqVK/HBBx8gLCwMW7ZsgZmZGaytrfHRRx/JOOq/ST/vlJQUqKqqQkVFBWVlZXB1dUVeXh52794NLS0t4X0WFxdDVVVV1mG/sVdJpqZMmQIA+Omnn9CyZUtZhguJRILFixfj/v37cHFxwYEDB1BQUIDCwkKoqamhrKwMwcHByM3NhYqKitw0Qr5w4QIKCgpgYmKCqKgobNq0CXPnzsXXX38tfP6lpaVwcXFBUlISXFxcYGJiIiRQt2/fRmRkJI4ePYpt27bhs88+k+XbqRPpPmZpaYnc3FysWrVKSKYACI3eZSUxMRErV67E1atX0bBhQwwdOhSpqakAqptQSyQSVFRUwN3dHbq6ujKLsy4ePXqEnJwctGnTptZvQCKRYObMmejUqRPc3NwA/N0kXdGkpaVh3LhxmD17NszMzFBeXo6GDRs+t11wcDBMTEzQvHlzVFRU1EtD55eRxnju3DkcP34cJiYmCA8PR15eHsaMGYNOnTph1qxZKC0tFd7Lxo0b8fnnn8ss5mf90/hm2LBh0NTUREpKCuzs7PD111/D2toaK1asQJMmTbBp0yaIRCK5vSgpHQecOXMGW7duRUFBAZo1a4aRI0fCyMgISkpKcHJyQvfu3fHNN9/gypUrOHr0KMLDw6Guri7r8J9X37fA3leFhYW0e/du6tOnT61pfufOnSN3d/f/vCa+dC7z48eP6datW5STk0ORkZEkFotpwIABz5XBjoqKIj09PVqxYgWlpaURkWwqCL7M5cuXX9gLyczMjExNTUlPT4/Gjh1LkZGRlJ6eTsOHDydDQ8NaxT9kPfXgTfj4+JC+vj6FhITQmTNnSE9Pj6ytrYUpY6GhoTRw4EBauHBhvTRyfhXSz/vUqVNkYmJCERERwvTSpKQkGjNmDBkbGwtTW7dv304rVqyQ+RTEt6XmYvMNGzZQ586da03ze/jwIVlYWMhkOt+LSuMmJibS0KFDycDAgGbNmkVnzpwhoupjg4WFhdyth7p69SqJxWIaOXIknThxgp48eULjxo0jKysroViG1L1796hHjx5kbGxMv/zyi/B4VlYWRUVFyVWPkheRfl83b96knTt30k8//VRrUf2YMWNo8ODBdOXKFZJIJBQQEECurq4yP+YlJyeTg4MD2draKuRa1FdRVlZG69evJwMDA5n2fHtbKioqyNTUlOzs7ITHni2ccfXqVXJwcBDGCrKQnp7+XK/InJwcGjp0KIWEhFB2dja5urqSjY0NnT17lsrLy+n27dv022+/1ctyirr4p/HN8OHDSU9Pj6ysrGjnzp0UHBxMAwYMIENDQ7K0tJT5+udXde7cOerWrRsFBQXRw4cPadasWdSnTx9hLWVYWBgZGxuToaEhDRw4kO7cuSPjiF+OE6l6VDOZWrlypfD4f92YT3rQi4uLIysrK7K1tSUXFxciImGhv6en53MDo2PHjpFYLKa1a9fK3dqVpKQkGjduHDk5OdGtW7eIiMjV1ZUGDx5MUVFRdO7cOTIxMaFhw4bRo0ePKDU1lWbNmiV37+N1JCYm0vDhw+nixYtEVN1rqEePHhQaGlpru6CgIJo6dapcHVB/+eUX6t69OwUHBz+X4EmLL0grD3322Wdyte7mbXhRMhUaGiqsP5RF0ijdP2JiYuj777+nSZMm0e7duyknJ0foRVbTunXraPz48VRQUFDvsf6TU6dOkVgspvHjx9OUKVPo7NmzVFxcTBMmTKAxY8YIffqIqvvkzZ8/n3x8fJ47JsjT7+WfHD9+nL788kuaPHkyOTs7U9euXWsNvMaPH08GBgY0fvx46tGjR62KV7KUmJhIdnZ2ZGdnR7///nut5xTls3+ZgwcP0rJly6hv3770559/yjqcNyb9PoKDg6l79+60fv36F263YcMGcnJyEtZW17f09HTq06cPicVimjJlCkVFRVFiYiIRVZ9zxo0bRzk5ORQfH0+urq40YcIEOnDggExifRWvOr4ZOXIkxcbGUkZGBl2/fl04v8jTxUdpTDXPfdJG3D4+PkRUXcDom2++oUWLFtV6bXx8PN27d0/uEt1ncSL1H/ink0FhYSHt2bOHxGKxsBPVRyz379+nXr16ka+vL6WlpdWqvBMSEkJisZiCgoKeOxCePHmSEhIS/vM4X0dSUhJNnjyZHBwcyMrK6rmr+Xfu3HlhCWNFS6ae7RNz9epVGjhwIBERnTlzhrp3705hYWFEVL0IWlo6tOZr5GGAkpeXR2PGjKHAwEAiqj6Y5uTk0JEjR4SrUOXl5eTr60srV66UmybPb+rZq7c1/3vjxo0kFotp7969Mv2OTp48SXp6erRw4ULasGED9e/fn+zs7GpdYb506RKtXbtW7gpL1OTu7k42Njbk6upK1tbWdP78eSGZGjt2LG3fvp1iY2PJ0dGR1qxZI7xO0Y4JcXFx1K9fPwoJCSGi6uP7559/TkuXLq31XrZu3UqBgYFy91tKSkoiR0dHGjNmjEJXs6spISGBbGxsyMXFRe4+7zeVlpZGU6dOpb59+9Ly5cupvLycysrKKDExkVasWEG9e/eme/fuySy+1NRUGjlyJI0dO5YsLCzIy8uLDA0Nac+ePRQVFUWOjo509uxZIqr+7UyaNIkcHR1llvi9ilcd39S8E00kX83qpbGkpKTQnj17hKSQqLox9e+//065ubnUr1+/WtWtjx8/LtfFZp7FidQbqqysFHYW6RXcf5sCV1BQQBEREcIVk/9aXl4eWVtbP9dgsuZVix07dpBYLKbAwEC5bkL3rKSkJJo0aRL17NlT6L9VVVVFEomE7ty5Q99+++1zVz0VlXQqTF5eHk2YMEEoab5nzx5hmz///JMmT54sDE7kqR/WkydPyMbGhnbu3ElpaWnk4+NDNjY21KdPHxo8eHCtRs/ydEXtVdVsGlpUVFSrwtU/JVNbtmyR6cBLOvVVekdTIpGQnp5erUQjNzeXpk+fTqNGjZLLJEp6zI2MjKQFCxbQjRs3yNXVlcaOHUvnz5+nkpISmjt3LhkaGlL//v1p7NixCjMF5kWio6PJxsaGiKoHkQMGDKh1NbfmdySv7y8+Pp6mTZsm0+lgb1t2drZcD85fh3T/SU5OJg8PD+rWrRv169ePDA0NacyYMTR06FC5KFOflJRErq6u5OzsTCdPnqRTp06RjY0NOTs7k1gsJktLS+E4kZCQoBBtNF5lfFOzD548kZ7j7t69S8bGxuTi4iIks0TVbQGmTp1KRkZGtGjRIuF4XFRURC4uLhQSEiK3x65ncSL1mk6ePElxcXHCf586dYpGjx5NpqamtGrVKuFE9rIdoT53kLi4ODIyMqLffvvthQM6aSw7d+4UyucqUjL14MEDsrOzI3t7+1pJk6OjI9nY2MjVFZrXFR0dTaamppScnEz5+fnk6upKXbp0qTVFtLS0lKZMmUJTp06Vy/dcUVFBTk5OZGFhQV26dKFp06ZReHg4paamvrC5paJ4dl7+6dOnadSoUWRtbU0LFix46evk5S5Ieno6mZub09OnTykpKYn69+9fK25pUv748WOhgbI8uHTpUq27r0REmZmZ1L9/f/r555/p8ePH5OrqKqyRIqq+Mnrt2jW5nAJTF9HR0WRlZUU3b96kgQMHkre3t7A/Xbt2jRYsWKAQCYo8rbtltdUco0j/vaCggP7880/avHkzrV+/nk6dOiVXLUMSEhLI3t6e7OzsKDExkZ4+fUrXr18nR0dHoZeUogzOpRR5fBMfH0+9e/emdevWPbefXLp0iYyNjWnIkCG1Hvf19SUjIyO5X6daE1ftew337t2Dh4cH2rVrB09PT1RVVcHc3BwODg7IyspCXFwcgOoKK127dpV5ZbjDhw9j3rx5uHPnDkQiUa0KYlIlJSV4+vQpfv31V6xZswYnT56sVY5S3iUnJ2P58uVQUlKCg4MDduzYgfv37+PIkSNQUVF54XtWJL///jtmzpyJ5cuXY+DAgbh//z5mz54NdXV1dOnSBdra2jh9+jTy8/Oxf/9+mb9n6T6fnZ2NBg0aoLS0FNra2igtLcW5c+cgkUhgZGQkVE+cPXs2PvzwQ3h5eSlUFcXU1FQYGRlh8ODB2LRpE+7cuYMJEyZg3LhxEIlEOHjwIDp16oSAgAA0a9ZM1uGipKQEJSUluH//Pjp16gRVVVUUFxfD0tISa9asgbe3N7766issWbIESkpKuHv3LoKCgjB58mR06dJF1uELLl++LFQZ7devH4yMjNCzZ0/o6uoiKioKhw8fho+PDx49eoSNGzciLy8PI0aMwOjRo4W/Ia8VrZ71ovOH9Pf/6NEjGBsbY8WKFcJzK1aswMOHD7FmzRqZVk5jioP+oUS+rMcvdZWcnIxly5YBAJydndGzZ08ZR/TmFHF8I201oaGhgYULFwqPV1RUID8/H+np6bhy5QoOHz6MFi1aQFdXF7m5uTh//jx27NihUBVTOZF6Tfv27cOhQ4egqamJTz/9VCjhDADnzp1DWFgYnj59Cnd3d5knU9euXcOkSZOwdu1aDBky5IXb7NixA+fOnUNwcDDy8/Pls8Tkv0hOTsbKlSsRExODtm3b4vDhw1BRUZF52d+6kh4UpT9N6X6zfPlyXLhwASEhIdDU1MS9e/ewf/9+XLp0Ca1bt4a2tja8vb3RoEEDmb5nafxnzpxBUFAQCgsL0aRJE3z33XcwNzevtW1BQQG2bduG8PBwhIWFQUdHRyYxvy4iQkxMDObOnYuvvvoKo0ePxu3bt+Hg4AAiQnx8PFxcXNCyZUsEBgaiadOmMos1KSkJgYGBuHXrFtLS0tCwYUN8/fXXcHR0RGRkJH788UcYGxtj48aNwmt8fX1x8eJFBAQEyLwke00PHjyAl5cXlJWVIZFIIBaLcfjwYTg7O4OI8Ouvv2LatGno1asX4uPjsWTJEujq6mLBggUKNSiUnjdu3LiB5ORkpKSkwNzcHO3atUNERAS8vb0xY8YMGBoaonHjxtizZw/27duHkJAQhSkhzmRLuo9dvHgRx44dw6NHj9C9e3eYmZmhffv2L93+2X+XJ9LEg4gwdepU9OrVS9YhvTFFG99UVlZi4sSJGDZsGGxsbAAA0dHRiI6ORkREBD766COoqKhg9uzZOHDgAJ4+fYp27drByspK4cYBnEjVUc2d9tChQ/j555+RmpqKb7/9FnPmzBG2kyZTJSUlcHNzk+lVkczMTFhYWKBbt25YsGCB0Feo5kFw9erVEIlEmDNnDkQikVweHF9FQkICwsLCMG/ePJknFG/q6dOntZof37hxA6tWrRIOTlI1+2IB9d8v5kVXw3799VfMmjULbm5u6Ny5M86ePYuffvoJy5Ytg6WlJQDg2LFjOHjwIJKSkrBhwwaFugIF/P37ISJcvHgRs2fPRnFxMSZNmoRZs2YJ28XFxcHZ2Rlt2rSBv7+/TO5M3b17F/b29hg0aBC6d++Orl274sCBAzhx4gQaNGiA0aNH4/79+7h+/ToWL16MoqIiXLt2DREREQgNDcWnn35a7zH/m6SkJPj6+qKiogLfffcdqqqqsHfvXpSWliI6OhqDBg3Cxo0boaysjNTUVLRp00a4QKFIx7cTJ05g4cKF6NGjBzIzM/HkyROYm5vD2dkZfn5+OHHiBB49eoROnTqhvLwca9euRefOnWUdNlMgp0+fhoeHB4YPHw5dXV2sX78e3bp1w+LFi+Wmb2RdJScnY9WqVcjLy8P8+fPRvXt3WYf0xhRpfPPkyRNYWlqiV69esLW1xalTp3DgwAHo6uqiZ8+eUFVVRXBwMIYMGYIZM2YAkN/E/F/V0xRChSadg1pzPvfdu3epsrKSoqKiaPjw4WRiYvJcz4jz58/TuHHjyMHBgUpLS2U6N/fEiRPUpUsXcnd3r7W2q7i4mHx8fMjQ0LDeil/UF0Vd/0BUvWi+S5cu9NNPP9UqW+zi4kJWVlbCfz87P7q+9zHp///OnTvk7+9PRNVrbiZOnEg7duwgIqKMjAwyNDSkESNGkFgsFooalJWV0Z49exRqLrT0/dZsWZCUlEQSiYRiYmLIyMiIJk6cKDwn/T7i4uKod+/e5ODgUO/fUWxsLHXr1o18fHye+00cOXKERo8eTZaWlrR3716aN28e9ezZk0xNTWnSpElyWViipoSEBJo8eTLZ2dlRfHw8VVZWUlxcHHl6er5wnao8ryd4kdjYWOrfvz/t27ePiIjy8/NJLBbT5s2bhW0ePHhAly9fptjY2Fp98hh7FZmZmTRixAjheF1ZWUlfffUVrVixQsaRvbl3saCJlCKMby5evEifffYZGRoakp6eHoWFhVFycjIRVVfotbOzozlz5gjbK9r6NSlOpF5RSkoK2djYUGlpKR09epS6d+9Ot2/fJiKiQ4cOkZWVFU2fPv25ZCQmJobS09NlEXItVVVVFBYWRp999hkNHTqU5s2bR4sWLSInJyfS19d/J3peKLJny5RnZmaSj48PWVlZ0aBBg2jt2rWUkZFBKSkpZGJi8twie1mQDkpjY2Pp008/pVWrVhFRdeUqPz8/evz4MWVmZtKwYcPI29ub8vPzacaMGSQWi2n79u0yjPzNpKWl0dy5c+nu3bt04sQJEovFwiD+woUL1KdPH5o+fbqwvfQ7jY+PF04i9SU9PZ2+/PJLcnNzqxVPzZNwWFgY9enTh8LDw4moujrX06dPFabgTFJS0kv7Eila4vTsQOLXX38VLpzEx8eToaEheXl5Cc+npqYq3Htk8iUzM5MsLCzo6dOnlJKSQgYGBrWKzfzxxx8KvY9xQRPZSk9Pp9u3bz93kaeqqorc3NyE3mSKmkQREcnX6jQ51qhRI2RmZsLMzAwzZ87EokWLhMXXw4cPx5gxY5CTk4P169cjOTlZeF3fvn3RunVrGUX9NyUlJVhZWSEsLAyffPIJYmNjERcXBx0dHYSGhirctKp3iUQiEW5n5+bm4vHjx2jZsiVmzZqFtWvXwtXVFUePHsX06dOxbNkyaGpq4vbt2ygvL5dpzNJiBGPHjoWDgwPmzp0LANDQ0ICDgwO0tLQQFhaGtm3bYs6cOVBTU0O7du3QqlUrbNmyBfn5+cI6MEWSkpKC2NhYLFq0CHPmzMHq1auho6MDZWVl9O3bF76+vrh06ZIwXUE6/U9HRwcdOnSo11irqqrQtm1blJeX4+rVq0I8DRo0ED576Zz08+fPAwDatm0LVVVVma7nqouOHTvC29sbIpEIgYGBwvsEIHcLsF/VpUuXAFRP71VSUkJJSQns7e3Rr18/LF26FED1eoOwsDAUFhbKMlSmYKS/e4lEAqD6GJGXl4eTJ0/Czs4OhoaGWLRoEQAgMTERW7Zswc2bN2UW75tq2LChrEN4r7Vu3RpdunRBixYthMfKy8uxceNGXLt2TVg3rZBT+v6fYp5l6hFV37WDlpYW7O3t8eDBA7Rp0wZff/01gL8PRhYWFhg5ciQKCwuxbNkyPHz4UJZhv1TXrl2xfv16HDx4ELt378acOXPQsWNHWYf13iIiYbC3efNmODo6wsrKCqNGjcLp06fRokULmJubIyIiAlZWViAiXL58Gffv34eKiorM4lZSUsKDBw8wZswY2NraYubMmcIJ+uDBg7h9+zaA6upi6urqQvWw0tJSTJ8+Hb/88gvU1dUV8uD55ZdfwszMDDdu3MDHH39ca2GsSCQSkqmrV6/C3t5eeFwW2rZti3Xr1qGiogJbtmyplWTUpKysjMaNGwv/rmg6duyIBQsWQFlZGStXrsTdu3dlHdJrEYlEuHz5MmxtbXH27Fno6+sjPT0denp6+Oabb7Bs2TLheBETE4O7d+8qbLLI6h/9/xqUP/74A6GhocjNzUXr1q0xePBgLFy4EB07dsTSpUuFdTeRkZHIyclBmzZtZBw5e1dERkZizZo1iIiIQFBQ0Dsx/uQj8CuQVrSJiYmBp6cn1NXVYWtri5SUFCgpKaGqqgpAdTJlZmYGkUiERo0ayTjql6t54lXEOwLvEukA29/fH6GhoZg8eTL27duHsrIy+Pn5ISsrCxKJBBoaGjA3N8fWrVvh7++P3bt3C3c6ZEEikWDfvn344IMPhAqPIpEIAQEBWL16tbD/9+rVC0ePHsWmTZswf/58HDp0CD169FCYux011fys27RpA1dXVzRu3BhBQUH47bffhOekydTy5cuRnJyMzMxMWYQrkCYZIpEIW7ZswR9//CHEKZFIkJGRgcaNG6Nfv34AFPeY0LFjR3h4eKB3794KW7Hu4cOHSEhIgKenJwYOHAg1NTVMnToV7dq1g0gkQnl5OeLi4uDj44N9+/bBw8ODS5yzVyYSiXDixAk4OjoiKysLGRkZAIBhw4bhq6++QmZmJg4ePIijR49i+fLlCAkJwYoVK9CqVSsZR87eBYmJifj555+RkZGBnTt3vjMzobhq3yu4ffs2bG1t8f3332PIkCF4/Pgx7O3toaSkhM2bNwtV8C5cuAB9fX2UlpbWqrbG2MtUVVUhPz8fzs7OsLOzw5AhQ3Dp0iW4uLhg7ty5GDt2rDCN7tm+N7Ku2JOZmYlt27bh5s2bsLCwwJMnTxAcHIxVq1YJd2yzsrIQEhKCM2fOQENDA3PnzlXoimLXr1/H0aNHMW/ePCgrK+PcuXPYsmULtLS0MHHiRKHM7s2bN9GtWzeUlJSgSZMmMo662stKAq9btw7R0dEICgqCtra2jKN8e+Sxt8o/SUpKgouLCwoKCuDu7i5MecnOzsaRI0ewbds2VFRUQFNTE0pKSli9evU7MxBh9ePPP//E5MmTMWPGDFhZWdV67vLlyzhx4gSOHDmCjz76CBoaGnB3d5fLip1MceXk5KBhw4Zy0VfxbeFE6l8kJyfj1KlTyM/Ph7u7uzCYzcrKEqbteHh44OLFi4iIiEBkZKRcrIli8qu8vBxVVVXCADstLQ12dnY4fPgwrly5Ajc3N3h4eMDa2hrFxcU4fPgwhg4dCjU1NRlH/rysrCwEBgYiJiYGKSkp2LZtG/T19Z9L8oqKiqCsrAxVVVUZRvtmJBIJtm3bhgMHDuDLL7+El5cXVFRUcP78eaHP0tChQ5GYmAh/f3/ExMRAQ0ND1mHXUjOZmj17NmJiYhAQEICwsDAeMNWTF10Yyc3NRZMmTeDr64vIyEiYm5vD09NTeE1VVRWePHmCq1evok2bNtDS0oKmpqas3gJTMNLjcXh4OA4dOoTg4GBh1sCzx+qsrCw0b94cVVVVCn28Zqy+KM7lunpGRMjPz8ekSZPg5+eH3NxcABAaQGppaWHHjh1o1KgRlixZghMnTmD79u2cRLF/dOLECcyePRvjxo1DQEAAAOCjjz5C8+bNMWfOHEyfPh2enp6wtrYGUH1Si4yMxI0bN2QY9ctpaWlh6tSpMDAwgI6ODmJjYwFA6HEh1axZM4U/KSspKWH8+PGwtLTEnTt3sGzZMlRUVGDAgAGYNm0anj59Cn9/f0RGRiIiIkLukijg72l+KioqsLe3h5+fH3bt2sVJVD1SUlJCYmIidu3aBaC6n5qpqSkqKytha2uL0aNH4+jRo/jxxx+F10gkEqipqWHQoEHo3LkzJ1HsX6Wnp2Pnzp0AICRKBQUFKCoqEtZ213zu6tWryMvLg5aWFho1aqTwx2vG6ot8dvKSMemCTHV1daxevRre3t7466+/cP36dejp6QlXE9XV1bF3717cvXsXLVu2rFWVhLFn7dmzB2vXrsXo0aPRunVr+Pv7Q01NDePHj4eZmRmCgoKgr68vNKwtLS3FihUr0LhxYxgYGMg4+pfT1NSEo6MjiAjHjx9HZWUlHBwc0KBBA4WbXvUiKSkpQlPKDz74AFZWVqiqqsLJkyexfPlyLFiwAP369UOHDh1QUVGBpk2bQktLS8ZRv5x0LdHatWsxa9YsfPLJJ7IO6b1z5coVrFq1Cn/++SeioqKwfPlyNGvWDM2aNYONjQ2UlJQQEREBkUgEOzs7qKiovBO/JVY/qqqqEBoailOnTqG8vFyYPfPRRx8hISEBN27cgL6+fq3tjx8/js6dO2PkyJEKWQSIMVnhqX01SBMo6ZQL6Ynr8uXL8PT0hJ6eHuzt7YU1HhUVFTKtnMYUR0REBJYsWYINGzbAyMgIADB79mx069YNI0eORFFREYKCgvDHH39AW1sbrVu3RkJCAgoLC7F//36FGEhJp/n99ddf0NfXh5ubm6xDemOJiYlwd3eHgYEBZs6cKTz+5MkTbN++HeHh4Rg+fDhmzZqlcMcCPn7VnxdN55s3bx4iIyNhbGwMPz+/WtunpaUhLCwMZ8+exbfffgtnZ2dZhM0UWM01rIMGDYKjoyMAYMaMGbh06RJ8fHzw+eefQ1lZGT/88AP279+PsLAwtG/fXsaRM6ZYOJH6f9Ik6tKlSzh16hQKCwvx8ccfw9LSEhoaGoiJiYG3tzd69OgBe3t7ngrDXtmVK1cwceJEuLq6wtXVVXh8xIgRkEgkSE1NRe/evdG1a1fo6Ojg0KFDUFdXR+vWreHs7CxMk5NlYYlXlZWVBV9fX2RkZMDX1xcffvihrEN6I7m5ufDz88P9+/dhYGAAFxcX4bmioiJYWFigoKAA5ubm8PLykmGkTF5Jk6jU1FTExMRAV1cXenp6mD9/PsrLyxEVFYWZM2di3LhxtRZgp6amIjg4GDdu3EBwcLBQHZOxVyW9uHX79m0hmSopKcHSpUtx5MgRaGtro1mzZsjKykJQUBAXL2HsNXAiVcPp06cxa9YsmJmZIT09HQUFBcjLy0NISAjatGmDmJgYLF26FP/73/8wY8YMiMViWYfMFEBycjK8vLzQvHlzODs744svvsC0adNw7949zJgxA02bNsXq1auhoqKCoKCg50rNPlutT95lZ2cDgEKu45BeUKkpNzcXW7duxdWrV2FoaCgkU3l5eVi+fDl0dXVhZmbG6yPZc6RJ1L179+Dm5oZPPvkEo0aNgqGhobDNjh07sHLlSsyYMQM2NjZCa4Ds7Gw0b94cRUVFcrnejikGaTJ169YtGBsbY8qUKQCAc+fOIS8vDw0aNECPHj24VxRjr+m9TaSeHTDl5ubCzs4Opqamwnzi+/fvY/Xq1UhOTkZERARatGiB6OhorFu3Dlu3buXeCuyVSaulKSsro7CwEGVlZdi4cSPatm0LoLos7ahRo+Dv7y9M/WP1q2azymvXrqGgoAD6+vro168fioqKEBAQgN9//x1du3aFlZUVDh06hFu3bsHPz0/h77yx/05CQgKsra0xduxY2NjYvPC8sX37dqxevRozZsyAqakpDh06hPDwcBw7dowX/bM3VjOZGjRoEJycnGQdEmPvDPldcPEfkeaNJSUlACBUrykuLkZWVlatHjc6Ojpwd3eHmpoajh49ColEgv79+2PPnj2cRLE6kVZLkzbUnDJlCtq2bQuJRCLskzo6OjwglyFps0p7e3ucP38ev/32GyZPnoyVK1eisrISzs7OMDY2RkxMDOzs7HDs2DHMnTuXvzP2UtILJqamppg9e7Zw3qioqEBGRgbi4+MBALa2tpg3bx4CAwMxbdo07NixA/7+/pxEsbdCS0sLTk5O6Nq1K86dO/fcmjzG2OuT/0UXb5lIJEJOTg5MTEywcOFCfPvttwCqDzTa2tr47bff0K9fPwDVpc7FYjGUlZWRlJQkLPRv3LixzOJniqtjx45YsmQJlixZgv3790NLS0toirpp0ya0aNECenp6Mo7y/fXw4UOsWrUKnp6eGD16NEQiEaKiorB06VIoKSlh7ty5mDhxIkaOHInU1FS0bdtWIacvsvqjrKyM7Oxs9O7dW3gsOjoa0dHR2LdvH9TV1dGmTRvs3LkTkyZNwueff47CwkKIxWLhbjVjb4M0mfL19cWNGzeQl5fHF4EYewveu0QKqE6mvvnmG3h4eKBhw4YwMjKCSCRCt27dcOXKFZw8eRLGxsbCtq1atUKzZs2EOwdcGpS9rvbt28Pb2xvLly/H1q1bAVSvkUhKSsKRI0egpKQk99X5FJ308332cy4rK4OysjK++OIL4TETExNIJBJ4eHjAyMgIPXv2RKNGjTiBYq+ktLQUubm5uHfvHhITE3Hq1CkcOHAAurq6mD59OlRVVbF161asXLkSnp6etRIuxt42LS0tzJ49GwA4iWLsLXkv1ki9aAF5Tk4OtmzZgpCQEGzatAmDBw9GXl4e5syZgydPnqBr167o0aMHrl69ioMHD2Lv3r3Q0dGR0Ttg75rk5GSsXLkSMTExaNu2LQ4fPgwVFRWFqc6nqJ6toPbZZ58JidOdO3dgZWWF3bt3o1u3bigvL0fDhg0BAMOHD4eFhQXs7OxkGT5TQJcuXYK9vT1atWqF/Px8eHh4QF9fX+g75uTkBC0tLaxatUrWoTLGGKujd37EJh04FRcXQyKRCBWRNDQ04ODgACLCtGnT4OfnhyFDhgiFJK5fv47z589DU1MTISEhnESxt0raFDUsLAzz5s1TqBLniupFFdS0tbWF57t06YJBgwbB09MTgYGBQhPe8vJyqKioCMcOxupCX18fp0+fRk5ODtq0aVOrcbuysjKaNm0KbW1tnvHAGGMK6L24I5WcnIwZM2ZAVVUVY8aMgaamJgwMDABUD5JWrVqF0NBQrF+/HsOGDUNlZSVEIhEKCgrQuHFjXvDL/nOcRNWPf6ugduPGDWzcuBHp6elYtGgRGjRogAsXLiA8PBwRERFCcsXYmyovL0dAQAD27duHXbt2oWPHjrIOiTHGWB2984mURCKBn58fgoKC0KhRI7Rv3x4lJSVQU1ND165dMWrUKADAmTNnEBAQgB9++AH9+/eXcdSMsbetrKwMHh4e0NDQwMKFC4XHKyoqkJ2djcrKSrRr1w6JiYnw8/PD2bNnoa2tDRUVFaxZs4abVbK3JjIyErdv38axY8fwww8/8L7FGGMK6p2/BK6kpAQbGxuUlJTg4cOH6NChA8aPH49Dhw7hjz/+gIODA9TU1NCuXTtoaGhgypQp2LVrFy/6Zewd828V1Jo3bw4dHR1s27YNfn5+iI+Ph6qqKho3blxrOhZjbyIxMRE///wz1NTUsHPnTp42zhhjCuydvyMllZmZiaCgINy6dQsjR47EuHHjAAA3b97E48ePER4ejszMTMTFxeHIkSP4+OOPZRwxY+xtevLkCSwtLdGrVy/Y2trWqqDWq1cvqKqqIigoCN988w3mz5//wiI1jL0NOTk5aNiwIZo1aybrUBhjjL2B9yaRAoDHjx8jKCgIN2/ehJGRUa3u3hUVFSAiFBUVQUNDQ4ZRMsb+K1xBjTHGGGNvyzs/ta+mli1bwsnJCYGBgThz5gyUlJTg4OAAoLpSkoqKCidRjL3DuIIaY4wxxt6W9+qOlFRWVhYCAwPx119/QV9fH25ubrIOiTEmQ1xBjTHGGGN19V4mUkB1MuXr64uMjAz4+vpyl2/G3lNcQY0xxhhjr+O9TaQAIDs7GwCgqakp40gYY7KQmJiIRYsWQU1NDTNnzuQKaowxxhh7Ze91IsUYY1xBjTHGGGOvgxMpxhhjjDHGGKsjJVkHwBhjjDHGGGOKhhMpxhhjjDHGGKsjTqQYY4wxxhhjrI44kWKMMcYYY4yxOuJEijHGGGOMMcbqiBMpxhhjjDHGGKsjTqQYY4y9d65cuQKxWIzCwsK3ui1jjLH3B/eRYowxpnCysrIQGBiIs2fPIjMzExoaGujcuTMmTpwIfX39f319eXk5CgoKoKmpCZFI9Na2ZYwx9v7gRIoxxphCSU1NhbW1NZo3bw43Nzfo6uqisrISFy5cQHh4OI4fPy7rEBljjL0HeGofY4wxhbJkyRKIRCJERERgyJAh6NSpEz755BPY2tpi7969SE1NhVgsRmxsrPCawsJCiMViXLlyBcDz0/XS0tLg5OSE3r17o3v37jAxMcG5c+deuO3+/fvRq1cvREdHY9iwYdDT08PkyZPx+PHjWnFGRERg2LBh+OKLLzB06FDs3r27Pj4exhhj9aSBrANgjDHGXlV+fj6io6Mxc+ZMqKqqPvd88+bNX2st09KlS1FRUYGQkBCoqqoiPj7+hX9fqrS0FMHBwVizZg2UlJTg7u6O1atXw8fHBwBw6NAh+Pn5YeHChejcuTNiY2Ph7e0NVVVVWFhY1Dk+xhhj8ocTKcYYYwrj4cOHICL873//e6t/Nz09HUOGDIFYLAYAtGvX7h+3r6iowJIlS9C+fXsAwPjx4xEQECA8v2nTJsybNw/GxsbC34uPj0d4eDgnUowx9o7gRIoxxpjC+K+W9X733XdYvHgxLly4gL59+8LY2BiffvrpS7dv0qSJkEQBQMuWLZGTkwMAKC4uxsOHD+Hl5QVvb29hm8rKSjRr1uw/iZ8xxlj940SKMcaYwujQoQNEIhESExNfuo2SUvXy35pJV2Vl5T/+XUtLSxgYGODs2bOIiYnB1q1bMXfuXEyYMOGF2zdoUPv0KRKJhP9fcXExAGDZsmXo1q3bC2NjjDGm+PiIzhhjTGGoq6vDwMAAu3fvFhKWmgoLC9GiRQsA1SXSpWoWnniZ1q1bw9raGv7+/kLhitehqamJli1bIiUlBR06dKj1z79NGWSMMaY4+I4UY4wxhbJo0SJYW1vD0tISbm5uEIvFqKqqQkxMDMLCwnDs2DF0794dW7duRdu2bZGTk4MNGzb849/8/vvvMWDAAHTs2BGFhYW4cuUKdHR0XjtGNzc3LF++HM2aNUP//v1RXl6OO3fuoLCwELa2tq/9dxljjMkPTqQYY4wplHbt2mH//v0IDAzE6tWr8fjxY7Ro0QKff/45Fi9eDABYsWIFvLy8MHLkSHTq1Anu7u6ws7N76d+USCRYunQpMjIy0LRpU/Tv3x/z589/7RgtLS3RuHFj/Pjjj1izZg1UVVWhq6uLiRMnvvbfZIwxJl+4IS9jjDHGGGOM1RGvkWKMMcYYY4yxOuJEijHGGGOMMcbqiBMpxhhjjDHGGKsjTqQYY4wxxhhjrI44kWKMMcYYY4yxOuJEijHGGGOMMcbqiBMpxhhjjDHGGKsjTqQYY4wxxhhjrI44kWKMMcYYY4yxOuJEijHGGGOMMcbqiBMpxhhjjDHGGKsjTqQYY4wxxhhjrI7+D2qPePgX8juZAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "***4.Mention the plot for the top 15 Cuisines among the overall restaurants in Banglore.***\n",
        "\n"
      ],
      "metadata": {
        "id": "Xs8dUYsa4Cxv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.Cuisines"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0d490c26-f8ee-427a-c99a-480a85a9eed4",
        "id": "ULrfEoIu5xQ9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0       South Indian, North Indian, Chinese, Street Fo...\n",
              "1                  Biryani, Andhra, North Indian, Seafood\n",
              "2                                                 Biryani\n",
              "3                              Pizza, Fast Food, Desserts\n",
              "4         Burger, Fast Food, Biryani, Desserts, Beverages\n",
              "                              ...                        \n",
              "8918                                            Fast Food\n",
              "8919                      Seafood, Mangalorean, Beverages\n",
              "8920                                       Salad, Chinese\n",
              "8921                                        Thai, Chinese\n",
              "8922                                   Biryani, Fast Food\n",
              "Name: Cuisines, Length: 8923, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "top_food=df.Cuisines.value_counts()\n",
        "top_food[:100]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dbf1cc43-32b0-4f83-cb3a-e2394adcf0dd",
        "id": "977lPMxE5-BG"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "South Indian             309\n",
              "North Indian             205\n",
              "Bakery, Desserts         196\n",
              "North Indian, Chinese    138\n",
              "Chinese                  115\n",
              "Biryani                  103\n",
              "Biryani, South Indian    102\n",
              "Bakery                    99\n",
              "Street Food               96\n",
              "Ice Cream                 84\n",
              "Name: Cuisines, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "# Create a bar plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "top_food[:15].plot(kind='bar')\n",
        "plt.title('Top Cuisine among all Restaurants in Banglore')\n",
        "plt.xlabel('Cuisine')\n",
        "plt.ylabel('Counts')\n",
        "plt.xticks(rotation=45)  # Rotate x-axis labels for readability\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 666
        },
        "outputId": "925c2ff1-7152-41cf-88e9-2df50ed831ca",
        "id": "P-blxhS46Di_"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Summary and Conclusion\n",
        "\n",
        "1. There are more than 4250 restaurants that operate as single branches.\n",
        "\n",
        "2. In Bangalore, there are over 17 restaurants with more than 25 branches each.\n",
        "\n",
        "3. Across more than 13 areas, there are over 200 restaurants, with Electronic City, Bangalore, boasting the highest number of restaurants.\n",
        "\n",
        "4. 2939 varieties of food are produced by the 5242 restaurants.\n",
        "\n",
        "5. Considering the whole of Banglore, the top-rated food is South Indian cuisine.\n",
        "\n",
        "6. The cheapest average in Electronic City makes it so much more popular\n",
        "\n",
        "7. 48 cuisines are the least popular available in  50 restaurants\n",
        "\n",
        "8. The average cost goes from 50 bucks and goes all the way up to 4200, and the average cost is 340 bucks.\n",
        "\n",
        "9. The people who dine-in don't leave as much reviews.\n",
        "\n"
      ],
      "metadata": {
        "id": "jyhl7mexyEF2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import jovian\n",
        "jovian.commit()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wC9KM_wR8WgF",
        "outputId": "d1d7c275-e6ba-4e2b-a327-49d74e21c8d1"
      },
      "execution_count": 135,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[jovian] Detected Colab notebook...\u001b[0m\n",
            "[jovian] jovian.commit() is no longer required on Google Colab. If you ran this notebook from Jovian, \n",
            "then just save this file in Colab using Ctrl+S/Cmd+S and it will be updated on Jovian. \n",
            "Also, you can also delete this cell, it's no longer necessary.\u001b[0m\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "mUSE2HU18ZuZ"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}