Assignment2_CS_202151160.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wqpU7T5UCp8t",
        "outputId": "f80a3877-d097-4943-951a-0b113788c976"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "OQ5e78PI8Gr-"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from statsmodels.graphics.gofplots import qqplot\n",
        "\n",
        "pd.options.mode.chained_assignment = None"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Patient Attendance Data**"
      ],
      "metadata": {
        "id": "3jCVESPcyQZn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df1 = pd.read_csv(\"/content/drive/MyDrive/DAV sem 6/JK-Allopathic-Outpatient_attendance-May-2019 - JK-Allopathic-Outpatient_attendance-May-2019.csv\")\n",
        "df1.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 258
        },
        "id": "akE8kmSoDCEI",
        "outputId": "4cfd8379-ea2a-406c-f2d5-cbe669348459"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   District Facility Type  Total No. of Facilities #  \\\n",
              "0  Anantnag            DH                          2   \n",
              "1  Anantnag           CHC                          5   \n",
              "2  Anantnag            SC                        154   \n",
              "3    Badgam            DH                          1   \n",
              "4    Badgam           CHC                          9   \n",
              "\n",
              "   No. of facilities reporting nil performance *  \\\n",
              "0                                              0   \n",
              "1                                              0   \n",
              "2                                             10   \n",
              "3                                              0   \n",
              "4                                              0   \n",
              "\n",
              "   Performance - Overall Average **  Performance - Maximum  \\\n",
              "0                             34828                  41255   \n",
              "1                             10674                  16209   \n",
              "2                                42                    300   \n",
              "3                             23012                  23012   \n",
              "4                              9446                  16828   \n",
              "\n",
              "   Performance - Minimum  No. of facilities by performance - 1 to 100  \\\n",
              "0                  28402                                            0   \n",
              "1                   5986                                            0   \n",
              "2                      2                                          137   \n",
              "3                  23012                                            0   \n",
              "4                   4151                                            0   \n",
              "\n",
              "   No. of facilities by performance - 101 to 500  \\\n",
              "0                                              0   \n",
              "1                                              0   \n",
              "2                                              7   \n",
              "3                                              0   \n",
              "4                                              0   \n",
              "\n",
              "   No. of facilities by performance - 501 to 1000  \\\n",
              "0                                               0   \n",
              "1                                               0   \n",
              "2                                               0   \n",
              "3                                               0   \n",
              "4                                               0   \n",
              "\n",
              "   No. of facilities by performance - >1000  \n",
              "0                                         2  \n",
              "1                                         5  \n",
              "2                                         0  \n",
              "3                                         1  \n",
              "4                                         9  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e95979bd-33e3-4f01-a757-50fa2e64b277\" 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>District</th>\n",
              "      <th>Facility Type</th>\n",
              "      <th>Total No. of Facilities #</th>\n",
              "      <th>No. of facilities reporting nil performance *</th>\n",
              "      <th>Performance - Overall Average **</th>\n",
              "      <th>Performance - Maximum</th>\n",
              "      <th>Performance - Minimum</th>\n",
              "      <th>No. of facilities by performance - 1 to 100</th>\n",
              "      <th>No. of facilities by performance - 101 to 500</th>\n",
              "      <th>No. of facilities by performance - 501 to 1000</th>\n",
              "      <th>No. of facilities by performance - &gt;1000</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Anantnag</td>\n",
              "      <td>DH</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>34828</td>\n",
              "      <td>41255</td>\n",
              "      <td>28402</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Anantnag</td>\n",
              "      <td>CHC</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>10674</td>\n",
              "      <td>16209</td>\n",
              "      <td>5986</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Anantnag</td>\n",
              "      <td>SC</td>\n",
              "      <td>154</td>\n",
              "      <td>10</td>\n",
              "      <td>42</td>\n",
              "      <td>300</td>\n",
              "      <td>2</td>\n",
              "      <td>137</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Badgam</td>\n",
              "      <td>DH</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>23012</td>\n",
              "      <td>23012</td>\n",
              "      <td>23012</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Badgam</td>\n",
              "      <td>CHC</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>9446</td>\n",
              "      <td>16828</td>\n",
              "      <td>4151</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9</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-e95979bd-33e3-4f01-a757-50fa2e64b277')\"\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-e95979bd-33e3-4f01-a757-50fa2e64b277 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-e95979bd-33e3-4f01-a757-50fa2e64b277');\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-a2eb9dc8-ed12-4c5b-bd8d-456cd950fa3d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a2eb9dc8-ed12-4c5b-bd8d-456cd950fa3d')\"\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-a2eb9dc8-ed12-4c5b-bd8d-456cd950fa3d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "1. Compute total patient attendance for all district for all four range group and plot the bar\n",
        "diagram. Set the bar plot parameters for better visualization."
      ],
      "metadata": {
        "id": "9_4cjH4oxS1q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_group1 = df1.groupby(by=\"District\")[[\"No. of facilities by performance - 1 to 100\", \"No. of facilities by performance - 101 to 500\", \"No. of facilities by performance - 501 to 1000\", \"No. of facilities by performance - >1000\"]].sum()\n",
        "df_group1.plot(kind='barh', figsize=(16,20))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "dkyjrM4pDVfs",
        "outputId": "d97fc1d8-a814-4ea7-e818-e4bfe5dd36b7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: ylabel='District'>"
            ]
          },
          "metadata": {},
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x2000 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "2. Compute total patient attendance for all district for each Facility Type (DH, CHC and SC) for all\n",
        "four range groups and plot the stacked bar diagram of three. Set the bar plot parameters for\n",
        "better visualization."
      ],
      "metadata": {
        "id": "Z442eV-_xZUt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cols = ['District', 'Facility Type', 'Total No. of Facilities #']\n",
        "df_group2 = df1[cols]\n",
        "df_group2 = df_group2.pivot_table(index='District', columns='Facility Type', values='Total No. of Facilities #')\n",
        "df_group2.plot(kind='bar', stacked=True, figsize=(16,9))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 856
        },
        "id": "IqvwkKQrESsr",
        "outputId": "6c589e4b-fbf7-437c-e3b9-01da853eb467"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='District'>"
            ]
          },
          "metadata": {},
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x900 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "3. Plot group bar plot for Performance - Overall Average of different Facility Type (DH, CHC and\n",
        "SC) of Anantnag, Jammu, Poonch, Reasi and Udhampur."
      ],
      "metadata": {
        "id": "8fcU3FXVxdef"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_group3 = df1.pivot_table('Performance - Overall Average **', index='District', columns='Facility Type')\n",
        "df_group3 = df_group3.T[['Anantnag', 'Jammu', 'Poonch', 'Reasi','Udhampur']]\n",
        "df_group3.plot(kind='bar', figsize=(16,9))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 806
        },
        "id": "GkrLWQ8PFGSG",
        "outputId": "d1317ca8-6092-47f7-f49e-15d2bb0d4c05"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Facility Type'>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x900 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "4. Present dot plot for Performance - Maximum of any 20 different district. Performance - Maxi\n",
        "mum for different Facility Type should be combined appropriately using a aggregation function\n",
        "for each district."
      ],
      "metadata": {
        "id": "7vfuDW10xhNr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_group4 = df1.groupby(['District']).agg(Max = ('Performance - Maximum', 'max'))\n",
        "df_group4 = df_group4.iloc[:20]\n",
        "df_group4 = df_group4.reset_index()\n",
        "fig, ax = plt.subplots(figsize=(16,9))\n",
        "ax=sns.scatterplot(data=df_group4, x='District', y='Max');\n",
        "ax.set_xticklabels(labels=df_group4['District'], rotation=30);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 846
        },
        "id": "X9PGJqdZFJaz",
        "outputId": "1a20c4be-a721-4475-b8eb-7fc5904690a4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-8-4a9038509a0b>:6: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
            "  ax.set_xticklabels(labels=df_group4['District'], rotation=30);\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x900 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Fifa Player Profile**"
      ],
      "metadata": {
        "id": "1RIKpREvxl7B"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df2 = pd.read_csv(\"/content/drive/MyDrive/DAV sem 6/Fifa_player_football_data - Fifa_player_football_data.csv\")\n",
        "df2.set_index(['ID'])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 666
        },
        "id": "a3aCzUALFOcu",
        "outputId": "7a181db4-ffd1-48be-a3c5-6bbf75a4661d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Unnamed: 0                Name  Age  \\\n",
              "ID                                            \n",
              "158023           0            L. Messi   31   \n",
              "20801            1   Cristiano Ronaldo   33   \n",
              "190871           2           Neymar Jr   26   \n",
              "193080           3              De Gea   27   \n",
              "192985           4        K. De Bruyne   27   \n",
              "...            ...                 ...  ...   \n",
              "238813       18202        J. Lundstram   19   \n",
              "243165       18203  N. Christoffersson   19   \n",
              "241638       18204           B. Worman   16   \n",
              "246268       18205      D. Walker-Rice   17   \n",
              "246269       18206           G. Nugent   16   \n",
              "\n",
              "                                                 Photo Nationality  \\\n",
              "ID                                                                   \n",
              "158023  https://cdn.sofifa.org/players/4/19/158023.png   Argentina   \n",
              "20801    https://cdn.sofifa.org/players/4/19/20801.png    Portugal   \n",
              "190871  https://cdn.sofifa.org/players/4/19/190871.png      Brazil   \n",
              "193080  https://cdn.sofifa.org/players/4/19/193080.png       Spain   \n",
              "192985  https://cdn.sofifa.org/players/4/19/192985.png     Belgium   \n",
              "...                                                ...         ...   \n",
              "238813  https://cdn.sofifa.org/players/4/19/238813.png     England   \n",
              "243165  https://cdn.sofifa.org/players/4/19/243165.png      Sweden   \n",
              "241638  https://cdn.sofifa.org/players/4/19/241638.png     England   \n",
              "246268  https://cdn.sofifa.org/players/4/19/246268.png     England   \n",
              "246269  https://cdn.sofifa.org/players/4/19/246269.png     England   \n",
              "\n",
              "                                       Flag  Overall  Potential  \\\n",
              "ID                                                                \n",
              "158023  https://cdn.sofifa.org/flags/52.png       94         94   \n",
              "20801   https://cdn.sofifa.org/flags/38.png       94         94   \n",
              "190871  https://cdn.sofifa.org/flags/54.png       92         93   \n",
              "193080  https://cdn.sofifa.org/flags/45.png       91         93   \n",
              "192985   https://cdn.sofifa.org/flags/7.png       91         92   \n",
              "...                                     ...      ...        ...   \n",
              "238813  https://cdn.sofifa.org/flags/14.png       47         65   \n",
              "243165  https://cdn.sofifa.org/flags/46.png       47         63   \n",
              "241638  https://cdn.sofifa.org/flags/14.png       47         67   \n",
              "246268  https://cdn.sofifa.org/flags/14.png       47         66   \n",
              "246269  https://cdn.sofifa.org/flags/14.png       46         66   \n",
              "\n",
              "                       Club                                       Club Logo  \\\n",
              "ID                                                                            \n",
              "158023         FC Barcelona    https://cdn.sofifa.org/teams/2/light/241.png   \n",
              "20801              Juventus     https://cdn.sofifa.org/teams/2/light/45.png   \n",
              "190871  Paris Saint-Germain     https://cdn.sofifa.org/teams/2/light/73.png   \n",
              "193080    Manchester United     https://cdn.sofifa.org/teams/2/light/11.png   \n",
              "192985      Manchester City     https://cdn.sofifa.org/teams/2/light/10.png   \n",
              "...                     ...                                             ...   \n",
              "238813      Crewe Alexandra    https://cdn.sofifa.org/teams/2/light/121.png   \n",
              "243165       Trelleborgs FF    https://cdn.sofifa.org/teams/2/light/703.png   \n",
              "241638     Cambridge United   https://cdn.sofifa.org/teams/2/light/1944.png   \n",
              "246268      Tranmere Rovers  https://cdn.sofifa.org/teams/2/light/15048.png   \n",
              "246269      Tranmere Rovers  https://cdn.sofifa.org/teams/2/light/15048.png   \n",
              "\n",
              "        ... Composure Marking  StandingTackle SlidingTackle  GKDiving  \\\n",
              "ID      ...                                                             \n",
              "158023  ...      96.0    33.0            28.0          26.0       6.0   \n",
              "20801   ...      95.0    28.0            31.0          23.0       7.0   \n",
              "190871  ...      94.0    27.0            24.0          33.0       9.0   \n",
              "193080  ...      68.0    15.0            21.0          13.0      90.0   \n",
              "192985  ...      88.0    68.0            58.0          51.0      15.0   \n",
              "...     ...       ...     ...             ...           ...       ...   \n",
              "238813  ...      45.0    40.0            48.0          47.0      10.0   \n",
              "243165  ...      42.0    22.0            15.0          19.0      10.0   \n",
              "241638  ...      41.0    32.0            13.0          11.0       6.0   \n",
              "246268  ...      46.0    20.0            25.0          27.0      14.0   \n",
              "246269  ...      43.0    40.0            43.0          50.0      10.0   \n",
              "\n",
              "        GKHandling  GKKicking GKPositioning GKReflexes Release Clause  \n",
              "ID                                                                     \n",
              "158023        11.0       15.0          14.0        8.0        €226.5M  \n",
              "20801         11.0       15.0          14.0       11.0        €127.1M  \n",
              "190871         9.0       15.0          15.0       11.0        €228.1M  \n",
              "193080        85.0       87.0          88.0       94.0        €138.6M  \n",
              "192985        13.0        5.0          10.0       13.0        €196.4M  \n",
              "...            ...        ...           ...        ...            ...  \n",
              "238813        13.0        7.0           8.0        9.0          €143K  \n",
              "243165         9.0        9.0           5.0       12.0          €113K  \n",
              "241638         5.0       10.0           6.0       13.0          €165K  \n",
              "246268         6.0       14.0           8.0        9.0          €143K  \n",
              "246269        15.0        9.0          12.0        9.0          €165K  \n",
              "\n",
              "[18207 rows x 88 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6d1ae36b-cfda-4446-bc04-0aa5abe388a3\" 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>Unnamed: 0</th>\n",
              "      <th>Name</th>\n",
              "      <th>Age</th>\n",
              "      <th>Photo</th>\n",
              "      <th>Nationality</th>\n",
              "      <th>Flag</th>\n",
              "      <th>Overall</th>\n",
              "      <th>Potential</th>\n",
              "      <th>Club</th>\n",
              "      <th>Club Logo</th>\n",
              "      <th>...</th>\n",
              "      <th>Composure</th>\n",
              "      <th>Marking</th>\n",
              "      <th>StandingTackle</th>\n",
              "      <th>SlidingTackle</th>\n",
              "      <th>GKDiving</th>\n",
              "      <th>GKHandling</th>\n",
              "      <th>GKKicking</th>\n",
              "      <th>GKPositioning</th>\n",
              "      <th>GKReflexes</th>\n",
              "      <th>Release Clause</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ID</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>158023</th>\n",
              "      <td>0</td>\n",
              "      <td>L. Messi</td>\n",
              "      <td>31</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/158023.png</td>\n",
              "      <td>Argentina</td>\n",
              "      <td>https://cdn.sofifa.org/flags/52.png</td>\n",
              "      <td>94</td>\n",
              "      <td>94</td>\n",
              "      <td>FC Barcelona</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/241.png</td>\n",
              "      <td>...</td>\n",
              "      <td>96.0</td>\n",
              "      <td>33.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>€226.5M</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20801</th>\n",
              "      <td>1</td>\n",
              "      <td>Cristiano Ronaldo</td>\n",
              "      <td>33</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/20801.png</td>\n",
              "      <td>Portugal</td>\n",
              "      <td>https://cdn.sofifa.org/flags/38.png</td>\n",
              "      <td>94</td>\n",
              "      <td>94</td>\n",
              "      <td>Juventus</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/45.png</td>\n",
              "      <td>...</td>\n",
              "      <td>95.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>31.0</td>\n",
              "      <td>23.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>€127.1M</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>190871</th>\n",
              "      <td>2</td>\n",
              "      <td>Neymar Jr</td>\n",
              "      <td>26</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/190871.png</td>\n",
              "      <td>Brazil</td>\n",
              "      <td>https://cdn.sofifa.org/flags/54.png</td>\n",
              "      <td>92</td>\n",
              "      <td>93</td>\n",
              "      <td>Paris Saint-Germain</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/73.png</td>\n",
              "      <td>...</td>\n",
              "      <td>94.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>24.0</td>\n",
              "      <td>33.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>€228.1M</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193080</th>\n",
              "      <td>3</td>\n",
              "      <td>De Gea</td>\n",
              "      <td>27</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/193080.png</td>\n",
              "      <td>Spain</td>\n",
              "      <td>https://cdn.sofifa.org/flags/45.png</td>\n",
              "      <td>91</td>\n",
              "      <td>93</td>\n",
              "      <td>Manchester United</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/11.png</td>\n",
              "      <td>...</td>\n",
              "      <td>68.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>85.0</td>\n",
              "      <td>87.0</td>\n",
              "      <td>88.0</td>\n",
              "      <td>94.0</td>\n",
              "      <td>€138.6M</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>192985</th>\n",
              "      <td>4</td>\n",
              "      <td>K. De Bruyne</td>\n",
              "      <td>27</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/192985.png</td>\n",
              "      <td>Belgium</td>\n",
              "      <td>https://cdn.sofifa.org/flags/7.png</td>\n",
              "      <td>91</td>\n",
              "      <td>92</td>\n",
              "      <td>Manchester City</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/10.png</td>\n",
              "      <td>...</td>\n",
              "      <td>88.0</td>\n",
              "      <td>68.0</td>\n",
              "      <td>58.0</td>\n",
              "      <td>51.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>€196.4M</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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>238813</th>\n",
              "      <td>18202</td>\n",
              "      <td>J. Lundstram</td>\n",
              "      <td>19</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/238813.png</td>\n",
              "      <td>England</td>\n",
              "      <td>https://cdn.sofifa.org/flags/14.png</td>\n",
              "      <td>47</td>\n",
              "      <td>65</td>\n",
              "      <td>Crewe Alexandra</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/121.png</td>\n",
              "      <td>...</td>\n",
              "      <td>45.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>47.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>€143K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>243165</th>\n",
              "      <td>18203</td>\n",
              "      <td>N. Christoffersson</td>\n",
              "      <td>19</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/243165.png</td>\n",
              "      <td>Sweden</td>\n",
              "      <td>https://cdn.sofifa.org/flags/46.png</td>\n",
              "      <td>47</td>\n",
              "      <td>63</td>\n",
              "      <td>Trelleborgs FF</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/703.png</td>\n",
              "      <td>...</td>\n",
              "      <td>42.0</td>\n",
              "      <td>22.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>€113K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>241638</th>\n",
              "      <td>18204</td>\n",
              "      <td>B. Worman</td>\n",
              "      <td>16</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/241638.png</td>\n",
              "      <td>England</td>\n",
              "      <td>https://cdn.sofifa.org/flags/14.png</td>\n",
              "      <td>47</td>\n",
              "      <td>67</td>\n",
              "      <td>Cambridge United</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/1944.png</td>\n",
              "      <td>...</td>\n",
              "      <td>41.0</td>\n",
              "      <td>32.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>13.0</td>\n",
              "      <td>€165K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>246268</th>\n",
              "      <td>18205</td>\n",
              "      <td>D. Walker-Rice</td>\n",
              "      <td>17</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/246268.png</td>\n",
              "      <td>England</td>\n",
              "      <td>https://cdn.sofifa.org/flags/14.png</td>\n",
              "      <td>47</td>\n",
              "      <td>66</td>\n",
              "      <td>Tranmere Rovers</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/15048.png</td>\n",
              "      <td>...</td>\n",
              "      <td>46.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>27.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>€143K</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>246269</th>\n",
              "      <td>18206</td>\n",
              "      <td>G. Nugent</td>\n",
              "      <td>16</td>\n",
              "      <td>https://cdn.sofifa.org/players/4/19/246269.png</td>\n",
              "      <td>England</td>\n",
              "      <td>https://cdn.sofifa.org/flags/14.png</td>\n",
              "      <td>46</td>\n",
              "      <td>66</td>\n",
              "      <td>Tranmere Rovers</td>\n",
              "      <td>https://cdn.sofifa.org/teams/2/light/15048.png</td>\n",
              "      <td>...</td>\n",
              "      <td>43.0</td>\n",
              "      <td>40.0</td>\n",
              "      <td>43.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>12.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>€165K</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>18207 rows × 88 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6d1ae36b-cfda-4446-bc04-0aa5abe388a3')\"\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-6d1ae36b-cfda-4446-bc04-0aa5abe388a3 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-6d1ae36b-cfda-4446-bc04-0aa5abe388a3');\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-feabb199-57a2-4cb7-acbf-13eecaf9d5ba\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-feabb199-57a2-4cb7-acbf-13eecaf9d5ba')\"\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-feabb199-57a2-4cb7-acbf-13eecaf9d5ba button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "1. Present Age of various football players as histogram and kernel density plots. Set appropriate\n",
        "parameters of the plot."
      ],
      "metadata": {
        "id": "Ws73Gj3lxvdp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df2_group1 = df2[[\"ID\", \"Name\", \"Age\"]]\n",
        "sns.histplot(data=df2_group1, x=\"Age\", binwidth=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "ZCNmVhWRFUWb",
        "outputId": "940d3387-7fed-4dc4-fdaa-faf37e05d5e7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Age', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "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(data=df2_group1, x=\"Age\", binwidth=1, kde=True, color='y')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "IBNm6dXNFXdG",
        "outputId": "25eae62e-663d-4000-d62f-c721e61125b6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Age', ylabel='Count'>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "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": [
        "2. Present Age of various Football players as Kernel Density plots for each of FC Barcelona,\n",
        "Chelsea, Juventus and Real Madrid Clubs. Set appropriate parameters of the plot."
      ],
      "metadata": {
        "id": "bcrCN1Shx-eY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df2_group2 = df2.loc[df2['Club'].isin(['FC Barcelona','Chelsea','Juventus','Real Madrid'])]\n",
        "plt.figure(figsize=(16,9))\n",
        "sns.kdeplot(data=df2_group2, x=\"Age\",hue=\"Club\");"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 773
        },
        "id": "fGLzEdLOFX4E",
        "outputId": "890f993e-b972-4e4a-bd13-9a570bf63cf0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x900 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "3. Plot Value of players as Stacked Histogram Preferred Foot wise (right and left)."
      ],
      "metadata": {
        "id": "eBG5o7lfyChS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def change_val(row):\n",
        "    value = row['Value'][1:]\n",
        "    if 'K' in value:\n",
        "        return float(value.replace('K',''))*1000\n",
        "    if 'M' in value:\n",
        "        return float(value.replace('M',''))*1000000\n",
        "    return float(value)\n",
        "df2_group3 = df2[['Value', 'Preferred Foot']]\n",
        "df2_group3.loc[:, 'Value']=df2_group3.apply(change_val, axis=1)\n",
        "bins=np.logspace(0, np.log10(df2_group3['Value'].max()), 70)\n",
        "plt.figure(figsize=(16,9))\n",
        "sns.histplot(data=df2_group3, x='Value', stat='count', hue='Preferred Foot', multiple='stack', bins=bins)\n",
        "plt.xscale('log')\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 832
        },
        "id": "1Zc7vhtIFvjG",
        "outputId": "e6f1056a-8912-43a7-edff-00d2f5da07c7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-13-16d5bc538f80>:9: 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",
            "  df2_group3.loc[:, 'Value']=df2_group3.apply(change_val, axis=1)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x900 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "4. Check distribution of International Reputation using Q-Q plot."
      ],
      "metadata": {
        "id": "7UAhJIIuyHBz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df2_group4 = df2['International Reputation']\n",
        "plt.figure(figsize=(12,9))\n",
        "ax = plt.gca()\n",
        "qqplot(df2_group4,line='s', ax=ax)\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "uN6d0cOXF24w",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 773
        },
        "outputId": "dbe44df2-137f-41fe-fcac-eac7574c997a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x900 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+kAAAL0CAYAAABwAnaOAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABMTklEQVR4nO3deZyVBd3///dhG0CZQUwWdQQUyxX3EsqtMBAz6b5bbn8WWuZtJrealUmZa0bdZpnlVn2TtMwyF8rcUAM3LBVwLUsFQQVREUYQh2XO7w9zam4B5+AM59J5Ph+P83DOtZ3PDJP54jrXuUrlcrkcAAAAoOo6VXsAAAAA4DUiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICC6FLtAda3pqamPPvss+nVq1dKpVK1xwEAAOAdrlwu5+WXX86mm26aTp3Wfq68w0X6s88+m/r6+mqPAQAAQAczd+7cbL755mvdpsNFeq9evZK89sOpra2t8jQAAAC80zU0NKS+vr65R9emw0X6629xr62tFekAAACsN6255NoHxwEAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBBdqj0AAAAAVNuqpnLueeLF3PXE83nmpWUpl8t5cemK9KzpnPcO2jiHDR+Ubl3a/zx3Vc+kn3baaSmVSi0e22yzzVr3ufLKK7PNNtuke/fu2XHHHXP99devp2kBAAB4J7rx4XnZ7VuTc+j/+3MumPJkJj0wL79/cH7ueuLFTH50Qc66/q95zzdvyITrH233War+dvftt98+8+bNa37ceeeda9z27rvvziGHHJIjjjgiM2bMyJgxYzJmzJg8/PDD63FiAAAA3ilufHhevvDL6Vn0yoq1blcuJxffPqvdQ73qkd6lS5f079+/+fGud71rjdv+8Ic/zKhRo/LVr3412267bc4888zsuuuu+fGPf7weJwYAAOCdYFVTOaf9/pGK9vnpHbOyfGVTO01UgEj/xz/+kU033TRbbrllDj300MyZM2eN206bNi0jRoxosWzkyJGZNm3aGvdpbGxMQ0NDiwcAAAD8ZdbCzG9orGifpnJy2bTZ7TNQqhzp73vf+zJx4sTceOONufDCCzNr1qzstddeefnll1e7/fz589OvX78Wy/r165f58+ev8TUmTJiQurq65kd9fX2bfg8AAAC8PS14+dV12u+pha+08ST/UtVIP+CAA/KJT3wiQ4cOzciRI3P99ddn0aJF+e1vf9tmrzF+/PgsXry4+TF37tw2OzYAAABvX317dV+n/Qb26dnGk/xLoW7B1rt377z73e/O448/vtr1/fv3z3PPPddi2XPPPZf+/fuv8Zg1NTWpqalp0zkBAAB4+3vv4D7pX1tT0VveO5WSzwwb1G4zVf2a9H+3ZMmSPPHEExkwYMBq1w8bNiy33npri2WTJ0/OsGHD1sd4AAAAvIN07lTKaR/dvqJ9jtxrcLveL72qkf6Vr3wlU6dOzezZs3P33XfnYx/7WDp37pxDDjkkSTJ27NiMHz++efvjjjsuN954Y84555z87W9/y2mnnZb77rsv48aNq9a3AAAAwNvYqB0G5KJP75rePbuudbtSKTlq78EZP3q7dp2nqm93f/rpp3PIIYfkxRdfzCabbJIPfOADueeee7LJJpskSebMmZNOnf719wjDhw/P5ZdfnpNPPjlf//rXs/XWW+faa6/NDjvsUK1vAQAAgLe5UTsMyP7b9c89T7yYu554Ps+8tCzlcjkvLl2RnjWd895BG+ew4YPa9Qz660rlcrnc7q9SIA0NDamrq8vixYtTW1tb7XEAAAB4h6ukQwt1TToAAAB0ZCIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoiMJE+ne+852USqUcf/zxa9xm4sSJKZVKLR7du3dff0MCAABAO+pS7QGS5N57783FF1+coUOHvum2tbW1eeyxx5qfl0ql9hwNAAAA1puqn0lfsmRJDj300Pz0pz/NRhtt9Kbbl0ql9O/fv/nRr1+/9TAlAAAAtL+qR/oxxxyTAw88MCNGjGjV9kuWLMnAgQNTX1+fgw8+OI888shat29sbExDQ0OLBwAAABRRVSP9iiuuyPTp0zNhwoRWbf+e97wnP//5zzNp0qT88pe/TFNTU4YPH56nn356jftMmDAhdXV1zY/6+vq2Gh8AAADaVKlcLper8cJz587N7rvvnsmTJzdfi77vvvtm5513zrnnntuqY6xYsSLbbrttDjnkkJx55pmr3aaxsTGNjY3NzxsaGlJfX5/Fixentrb2LX8fAAAAsDYNDQ2pq6trVYdW7YPj7r///ixYsCC77rpr87JVq1bl9ttvz49//OM0Njamc+fOaz1G165ds8suu+Txxx9f4zY1NTWpqalps7kBAACgvVQt0j/0oQ/loYcearHss5/9bLbZZpt87Wtfe9NAT16L+oceeiijR49urzEBAABgvalapPfq1Ss77LBDi2UbbLBBNt544+blY8eOzWabbdZ8zfoZZ5yRPffcM0OGDMmiRYty9tln56mnnsrnP//59T4/AAAAtLVC3Cd9TebMmZNOnf712XYvvfRSjjzyyMyfPz8bbbRRdtttt9x9993ZbrvtqjglAAAAtI2qfXBctVRywT4AAAC8VZV0aNXvkw4AAAC8RqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACiILtUe4HXf+c53Mn78+Bx33HE599xz17jdlVdemW9+85uZPXt2tt5663z3u9/N6NGj19+gAAAAtJvlK5tyyV1P5qaH52d+w7Kk/Ob7lEql9OjaKd26dM6KVU0pp5yaLl3SrXMpy1eV1/jPmi6d0r1r52y8QbcsfGVFetZ0znsHbZzDhg9Kty7VOaddiEi/9957c/HFF2fo0KFr3e7uu+/OIYcckgkTJuQjH/lILr/88owZMybTp0/PDjvssJ6mBQAAoD1MuP7RXHz7rKrOMPnRBfn2DX/Nf+81OONHb7feX7/qb3dfsmRJDj300Pz0pz/NRhtttNZtf/jDH2bUqFH56le/mm233TZnnnlmdt111/z4xz9eT9MCAADQHooQ6K8rl5OLb5+VCdc/ut5fu+qRfswxx+TAAw/MiBEj3nTbadOmvWG7kSNHZtq0ae01HgAAAO1s+cqmwgT6v/vpHbOyfGXTen3Nqr7d/Yorrsj06dNz7733tmr7+fPnp1+/fi2W9evXL/Pnz1/jPo2NjWlsbGx+3tDQsG7DAgAA0C4umza72iOsVlP5tdmO2GvL9faaVTuTPnfu3Bx33HH51a9+le7du7fb60yYMCF1dXXNj/r6+nZ7LQAAACr31MJXqj3CGq3v2aoW6ffff38WLFiQXXfdNV26dEmXLl0yderUnHfeeenSpUtWrVr1hn369++f5557rsWy5557Lv3791/j64wfPz6LFy9ufsydO7fNvxcAAADW3cA+Pas9whqt79mqFukf+tCH8tBDD2XmzJnNj9133z2HHnpoZs6cmc6dO79hn2HDhuXWW29tsWzy5MkZNmzYGl+npqYmtbW1LR4AAAAUx2eGDar2CKvVqbT+Z6vaNem9evV6w23TNthgg2y88cbNy8eOHZvNNtssEyZMSJIcd9xx2WeffXLOOefkwAMPzBVXXJH77rsvP/nJT9b7/AAAALSNbl065ai9Bxfuw+OO3Gvwer9fetU/3X1t5syZk3nz5jU/Hz58eC6//PL85Cc/yU477ZTf/e53ufbaa90jHQAA4G1u/OjtctTeg6s9RpKkVEqO2rs690kvlcvl8np/1SpqaGhIXV1dFi9e7K3vAAAABbN8ZVMuuevJ3PTw/MxvWJa0olhLpVJ6dO2Ubl06Z8WqppRTTk2XLunWuZTlq8pr/GdNl07p3rVzNt6gWxa+siI9azrnvYM2zmHDB7XpGfRKOlSkAwAAQDuqpEML/XZ3AAAA6EhEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAgqhqpF944YUZOnRoamtrU1tbm2HDhuWGG25Y4/YTJ05MqVRq8ejevft6nBgAAADaT5dqvvjmm2+e73znO9l6661TLpfzi1/8IgcffHBmzJiR7bfffrX71NbW5rHHHmt+XiqV1te4AAAA0K6qGukHHXRQi+dnnXVWLrzwwtxzzz1rjPRSqZT+/fuvj/EAAABgvSrMNemrVq3KFVdckaVLl2bYsGFr3G7JkiUZOHBg6uvrc/DBB+eRRx5Z63EbGxvT0NDQ4gEAAABFVPVIf+ihh7LhhhumpqYmX/jCF3LNNddku+22W+2273nPe/Lzn/88kyZNyi9/+cs0NTVl+PDhefrpp9d4/AkTJqSurq75UV9f317fCgAAALwlpXK5XK7mAMuXL8+cOXOyePHi/O53v8vPfvazTJ06dY2h/u9WrFiRbbfdNoccckjOPPPM1W7T2NiYxsbG5ucNDQ2pr6/P4sWLU1tb22bfBwAAAKxOQ0ND6urqWtWhVb0mPUm6deuWIUOGJEl222233HvvvfnhD3+Yiy+++E337dq1a3bZZZc8/vjja9ympqYmNTU1bTYvAAAAtJeqv939/2pqampx5nttVq1alYceeigDBgxo56kAAACg/VX1TPr48eNzwAEHZIsttsjLL7+cyy+/PFOmTMlNN92UJBk7dmw222yzTJgwIUlyxhlnZM8998yQIUOyaNGinH322Xnqqafy+c9/vprfBgAAALSJqkb6ggULMnbs2MybNy91dXUZOnRobrrppuy///5Jkjlz5qRTp3+d7H/ppZdy5JFHZv78+dloo42y22675e67727V9esAAABQdFX/4Lj1rZIL9gEAAOCtqqRDC3dNOgAAAHRUIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABVFxpE+fPj0PPfRQ8/NJkyZlzJgx+frXv57ly5e36XAAAADQkVQc6UcddVT+/ve/J0mefPLJ/Nd//Vd69uyZK6+8MieeeGKbDwgAAAAdRcWR/ve//z0777xzkuTKK6/M3nvvncsvvzwTJ07MVVdd1dbzAQAAQIdRcaSXy+U0NTUlSW655ZaMHj06SVJfX58XXnihbacDAACADqTiSN99993zrW99K5dddlmmTp2aAw88MEkya9as9OvXr80HBAAAgI6i4kg/99xzM3369IwbNy7f+MY3MmTIkCTJ7373uwwfPrzNBwQAAICOolQul8ttcaBXX301nTt3TteuXdvicO2moaEhdXV1Wbx4cWpra6s9DgAAAO9wlXToOt0nfdGiRfnZz36W8ePHZ+HChUmSRx99NAsWLFiXwwEAAABJulS6w4MPPpgPfehD6d27d2bPnp0jjzwyffr0ydVXX505c+bk0ksvbY85AQAA4B2v4jPpJ5xwQj772c/mH//4R7p37968fPTo0bn99tvbdDgAAADoSCqO9HvvvTdHHXXUG5ZvttlmmT9/fpsMBQAAAB1RxZFeU1OThoaGNyz/+9//nk022aRNhgIAAICOqOJI/+hHP5ozzjgjK1asSJKUSqXMmTMnX/va1/Kf//mfbT4gAAAAdBQVR/o555yTJUuWpG/fvlm2bFn22WefDBkyJL169cpZZ53VHjMCAABAh1Dxp7vX1dVl8uTJufPOO/Pggw9myZIl2XXXXTNixIj2mA8AAAA6jFK5XC5Xe4j1qZKbyAMAAMBbVUmHtupM+nnnndfqFz/22GNbvS0AAADwL606kz548ODWHaxUypNPPvmWh2pPzqQDAACwPrX5mfRZs2a1yWAAAADAmlX86e4AAABA+2jVmfQTTjghZ555ZjbYYIOccMIJa932+9//fpsMBgAAAB1NqyJ9xowZWbFiRfPXAAAAQNtzCzYAAABoR5V0aMXXpH/uc5/Lyy+//IblS5cuzec+97lKDwcAAAD8U8WR/otf/CLLli17w/Jly5bl0ksvbZOhAAAAoCNq1TXpyWun58vlcsrlcl5++eV07969ed2qVaty/fXXp2/fvu0yJAAAAHQErY703r17p1QqpVQq5d3vfvcb1pdKpZx++ultOhwAAAB0JK2O9D/96U8pl8v54Ac/mKuuuip9+vRpXtetW7cMHDgwm266absMCQAAAB1BqyN9n332SZLMmjUr9fX16dSp4svZAQAAgLVodaS/buDAgVm0aFH+8pe/ZMGCBWlqamqxfuzYsW02HAAAAHQkFUf6H/7whxx66KFZsmRJamtrUyqVmteVSiWRDgAAAOuo4vesf/nLX87nPve5LFmyJIsWLcpLL73U/Fi4cGF7zAgAAAAdQsWR/swzz+TYY49Nz54922MeAAAA6LAqjvSRI0fmvvvua49ZAAAAoEOr+Jr0Aw88MF/96lfz6KOPZscdd0zXrl1brP/oRz/aZsMBAABAR1Iql8vlSnZY263XSqVSVq1a9ZaHak8NDQ2pq6vL4sWLU1tbW+1xAAAAeIerpEMrPpP+f2+5BgAAALSNiq9JBwAAANpHxWfSk2Tp0qWZOnVq5syZk+XLl7dYd+yxx7bJYAAAANDRVBzpM2bMyOjRo/PKK69k6dKl6dOnT1544YX07Nkzffv2FekAAACwjip+u/uXvvSlHHTQQXnppZfSo0eP3HPPPXnqqaey22675Xvf+157zAgAAAAdQsWRPnPmzHz5y19Op06d0rlz5zQ2Nqa+vj7/+7//m69//evtMSMAAAB0CBVHeteuXZtvw9a3b9/MmTMnSVJXV5e5c+e27XQAAADQgVR8Tfouu+ySe++9N1tvvXX22WefnHLKKXnhhRdy2WWXZYcddmiPGQEAAKBDqPhM+re//e0MGDAgSXLWWWdlo402ytFHH53nn38+P/nJT9p8QAAAAOgoSuVyuVztIdanhoaG1NXVZfHixamtra32OAAAALzDVdKhFZ9JBwAAANpHxdekDx48OKVSaY3rn3zyybc0EAAAAHRUFUf68ccf3+L5ihUrMmPGjNx444356le/2lZzAQAAQIdTcaQfd9xxq11+/vnn57777nvLAwEAAEBH1WbXpB9wwAG56qqr2upwAAAA0OG0WaT/7ne/S58+fdrqcAAAANDhVPx291122aXFB8eVy+XMnz8/zz//fC644II2HQ4AAAA6koojfcyYMS2ed+rUKZtsskn23XffbLPNNm01FwAAAHQ4pXK5XK72EOtTJTeRBwAAaA/Llq/KN66ZkatnPFftUSpWSlLOa9dOl//5/HWdV3NBdamUdC4lnUpJuVxKOeXmr1NKajqXUiqVsrKpnKZyOV07d8kmvbrlP3bdPJ/7wJbp1qXNrtKumko6tOLv9plnnsl5552XcePG5YQTTsjFF1+cl156aZ0GvfDCCzN06NDU1tamtrY2w4YNyw033LDWfa688spss8026d69e3bcccdcf/316/TaAAAA1XDkpfdm21NufFsGevJamCdJ0z+/bvq3x4qmNz6Wr0qWrUyWrkheWVlu8fUrK8p56dWmLFy2Kg2NTVmyvJyXlq3I3xcszXdufCzvPvmGTLj+0Wp9q1VRUaRfcMEF2WqrrXL88cfnl7/8ZX7+85/n6KOPzuabb55f//rXSV67Rn3GjBmtOt7mm2+e73znO7n//vtz33335YMf/GAOPvjgPPLII6vd/u67784hhxySI444IjNmzMiYMWMyZsyYPPzww5V8GwAAAFVx5KX3ZvKjC6o9xtvKxbfP6lCh3uq3u//xj3/MwQcfnOOPPz5f/vKXM2DAgCTJvHnzcvbZZ+fHP/5xbrvttlxwwQXZZpttcsopp6zTQH369MnZZ5+dI4444g3rPvWpT2Xp0qW57rrrmpftueee2XnnnXPRRRe16vje7g4AAFTDsuWrsu0pN1Z7jLelTqXkb2ce8LZ963slHdrqD447++yzc9JJJ+Vb3/pWi+UDBgzI97///fTs2TP7779/+vfvnwkTJlQ89KpVq3LllVdm6dKlGTZs2Gq3mTZtWk444YQWy0aOHJlrr712jcdtbGxMY2Nj8/OGhoaKZwMAAHirvt2Bzga3taZyctm02Tliry2rPUq7a/VfQ0yfPj2f+cxn1rj+M5/5TBobGzN16tQMHDiw1QM89NBD2XDDDVNTU5MvfOELueaaa7Lddtutdtv58+enX79+LZb169cv8+fPX+PxJ0yYkLq6uuZHfX19q2cDAABoK7NffKXaI7ytPbWwY/z8Wh3pq1atSteuXde4vmvXrunRo0e22GKLigZ4z3vek5kzZ+bPf/5zjj766Bx22GF59NG2+xum8ePHZ/Hixc2PuXPnttmxAQAAWmvQxj2rPcLb2sA+HePn1+pI33777TNp0qQ1rr/22muz/fbbVzxAt27dMmTIkOy2226ZMGFCdtppp/zwhz9c7bb9+/fPc8+1/ATE5557Lv3791/j8Wtqapo/Pf71BwAAwPr29dGrf8cwb65TKfnMsEHVHmO9aHWkH3PMMfnGN76RCy64ICtXrmxevnLlypx//vk5+eST88UvfvEtD9TU1NTiGvJ/N2zYsNx6660tlk2ePHmN17ADAAAURY9unbP/dn2rPcbb0pF7DX7bfmhcpVr9wXGHHXZYHnrooYwbNy7jx4/PVlttlXK5nCeffDJLlizJsccem8MPP7yiFx8/fnwOOOCAbLHFFnn55Zdz+eWXZ8qUKbnpppuSJGPHjs1mm23W/EF0xx13XPbZZ5+cc845OfDAA3PFFVfkvvvuy09+8pOKXhcAAKAafjp2D7dhq9BRew/O+A70LoRWR3qSfO9738vHP/7x/PrXv84//vGPJMnee++dQw45JHvuuWfFL75gwYKMHTs28+bNS11dXYYOHZqbbrop+++/f5Jkzpw56dTpX39bMnz48Fx++eU5+eST8/Wvfz1bb711rr322uywww4VvzYAAEA1/HTsHlm2fFW+cc2MXD3juTffoWBKScp57W3Z5X8+f13n1ZzsLpWSzqXX3rJeLpdSTrn565SSms6llEqlrGwqp6lcTtfOXbJJr275j103z+c+sGWHOYP+ulbfJ/2dwn3SAQAAWJ8q6dCO9VcSAAAAUGAiHQAAAApCpAMAAEBBiHQAAAAoiHWK9JUrV+aWW27JxRdfnJdffjlJ8uyzz2bJkiVtOhwAAAB0JBXdgi1JnnrqqYwaNSpz5sxJY2Nj9t9///Tq1Svf/e5309jYmIsuuqg95gQAAIB3vIrPpB933HHZfffd89JLL6VHjx7Nyz/2sY/l1ltvbdPhAAAAoCOp+Ez6HXfckbvvvjvdunVrsXzQoEF55pln2mwwAAAA6GgqPpPe1NSUVatWvWH5008/nV69erXJUAAAANARVRzpH/7wh3Puuec2Py+VSlmyZElOPfXUjB49ui1nAwAAgA6lVC6Xy5Xs8PTTT2fkyJEpl8v5xz/+kd133z3/+Mc/8q53vSu33357+vbt216ztomGhobU1dVl8eLFqa2trfY4AAAAvMNV0qEVR3ry2i3Yrrjiijz44INZsmRJdt111xx66KEtPkiuqEQ6AAAA61MlHVrxB8clSZcuXfLpT396nYYDAAAAVq9Vkf773/++1Qf86Ec/us7DAAAAQEfWqkgfM2ZMqw5WKpVW+8nvAAAAwJtrVaQ3NTW19xwAAADQ4VV8CzYAAACgfaxTpN966635yEc+kq222ipbbbVVPvKRj+SWW25p69kAAACgQ6k40i+44IKMGjUqvXr1ynHHHZfjjjsutbW1GT16dM4///z2mBEAAAA6hIrvk7755pvnpJNOyrhx41osP//88/Ptb387zzzzTJsO2NbcJx0AAID1qZIOrfhM+qJFizJq1Kg3LP/whz+cxYsXV3o4AAAA4J8qjvSPfvSjueaaa96wfNKkSfnIRz7SJkMBAABAR9SqW7D9u+222y5nnXVWpkyZkmHDhiVJ7rnnntx111358pe/nPPOO69522OPPbbtJgUAAIB3uIqvSR88eHDrDlwq5cknn1ynodqTa9IBAABYnyrp0IrPpM+aNWudBwMAAADWbJ3ukw4AAAC0vYrPpJfL5fzud7/Ln/70pyxYsCBNTU0t1l999dVtNhwAAAB0JBVH+vHHH5+LL744++23X/r165dSqdQecwEAAECHU3GkX3bZZbn66qszevTo9pgHAAAAOqyKr0mvq6vLlltu2R6zAAAAQIdWcaSfdtppOf3007Ns2bL2mAcAAAA6rIrf7v7JT34yv/71r9O3b98MGjQoXbt2bbF++vTpbTYcAAAAdCQVR/phhx2W+++/P5/+9Kd9cBwAAAC0oYoj/Y9//GNuuummfOADH2iPeQAAAKDDqvia9Pr6+tTW1rbHLAAAANChVRzp55xzTk488cTMnj27HcYBAACAjqvit7t/+tOfziuvvJKtttoqPXv2fMMHxy1cuLDNhgMAAICOpOJIP/fcc9thDAAAAGCdPt0dAAAAaHsVR/q/e/XVV7N8+fIWy3yoHAAAAKybij84bunSpRk3blz69u2bDTbYIBtttFGLBwAAALBuKo70E088MbfddlsuvPDC1NTU5Gc/+1lOP/30bLrpprn00kvbY0YAAADoECp+u/sf/vCHXHrppdl3333z2c9+NnvttVeGDBmSgQMH5le/+lUOPfTQ9pgTAAAA3vEqPpO+cOHCbLnllkleu/789VuufeADH8jtt9/ettMBAABAB1JxpG+55ZaZNWtWkmSbbbbJb3/72ySvnWHv3bt3mw4HAAAAHUnFkf7Zz342DzzwQJLkpJNOyvnnn5/u3bvnS1/6Ur761a+2+YAAAADQUZTK5XL5rRxg9uzZmT59eoYMGZKhQ4e21VztpqGhIXV1dVm8eLHbxQEAANDuKunQt3Sf9CQZNGhQBg0a9FYPAwAAAB1eq9/uPm3atFx33XUtll166aUZPHhw+vbtm//+7/9OY2Njmw8IAAAAHUWrI/2MM87II4880vz8oYceyhFHHJERI0bkpJNOyh/+8IdMmDChXYYEAACAjqDVkT5z5sx86EMfan5+xRVX5H3ve19++tOf5oQTTsh5553X/EnvAAAAQOVaHekvvfRS+vXr1/x86tSpOeCAA5qf77HHHpk7d27bTgcAAAAdSKsjvV+/fs33R1++fHmmT5+ePffcs3n9yy+/nK5du7b9hAAAANBBtDrSR48enZNOOil33HFHxo8fn549e2avvfZqXv/ggw9mq622apchAQAAoCNo9S3YzjzzzPzHf/xH9tlnn2y44Yb5xS9+kW7dujWv//nPf54Pf/jD7TIkAAAAdASlcrlcrmSHxYsXZ8MNN0znzp1bLF+4cGE23HDDFuFeRJXcRB4AAADeqko6tNVn0l9XV1e32uV9+vSp9FAAAADAv2n1NekAAABA+xLpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACqKqkT5hwoTsscce6dWrV/r27ZsxY8bkscceW+s+EydOTKlUavHo3r37epoYAAAA2k9VI33q1Kk55phjcs8992Ty5MlZsWJFPvzhD2fp0qVr3a+2tjbz5s1rfjz11FPraWIAAABoP12q+eI33nhji+cTJ05M3759c//992fvvfde436lUin9+/dv7/EAAABgvSrUNemLFy9OkvTp02et2y1ZsiQDBw5MfX19Dj744DzyyCNr3LaxsTENDQ0tHgAAAFBEhYn0pqamHH/88Xn/+9+fHXbYYY3bvec978nPf/7zTJo0Kb/85S/T1NSU4cOH5+mnn17t9hMmTEhdXV3zo76+vr2+BQAAAHhLSuVyuVztIZLk6KOPzg033JA777wzm2++eav3W7FiRbbddtsccsghOfPMM9+wvrGxMY2Njc3PGxoaUl9fn8WLF6e2trZNZgcAAIA1aWhoSF1dXas6tKrXpL9u3Lhxue6663L77bdXFOhJ0rVr1+yyyy55/PHHV7u+pqYmNTU1bTEmAAAAtKuqvt29XC5n3Lhxueaaa3Lbbbdl8ODBFR9j1apVeeihhzJgwIB2mBAAAADWn6qeST/mmGNy+eWXZ9KkSenVq1fmz5+fJKmrq0uPHj2SJGPHjs1mm22WCRMmJEnOOOOM7LnnnhkyZEgWLVqUs88+O0899VQ+//nPV+37AAAAgLZQ1Ui/8MILkyT77rtvi+WXXHJJDj/88CTJnDlz0qnTv074v/TSSznyyCMzf/78bLTRRtltt91y9913Z7vttltfYwMAAEC7KMwHx60vlVywDwAAAG9VJR1amFuwAQAAQEcn0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFESXag8AAAAUx8zZizLmoruqPUaH0bmUvH/Iu3LBobtlw+7yjCqfSZ8wYUL22GOP9OrVK3379s2YMWPy2GOPvel+V155ZbbZZpt07949O+64Y66//vr1MC0AALyzDTrpjwJ9PVtVTm7/xwvZ4bSb8tEf31HtcSiAqkb61KlTc8wxx+See+7J5MmTs2LFinz4wx/O0qVL17jP3XffnUMOOSRHHHFEZsyYkTFjxmTMmDF5+OGH1+PkAADwzjLopD9We4QO78GnG4Q6KZXL5XK1h3jd888/n759+2bq1KnZe++9V7vNpz71qSxdujTXXXdd87I999wzO++8cy666KI3fY2GhobU1dVl8eLFqa2tbbPZAQDg7cpb3Ivl4dNGeuv7O0wlHVqoD45bvHhxkqRPnz5r3GbatGkZMWJEi2UjR47MtGnTVrt9Y2NjGhoaWjwAAIB/EejF8qXfzKj2CFRRYSK9qakpxx9/fN7//vdnhx12WON28+fPT79+/Vos69evX+bPn7/a7SdMmJC6urrmR319fZvODQAA0JbmvLSs2iNQRYWJ9GOOOSYPP/xwrrjiijY97vjx47N48eLmx9y5c9v0+AAAAG1pi416VHsEqqgQkT5u3Lhcd911+dOf/pTNN998rdv2798/zz33XItlzz33XPr377/a7WtqalJbW9viAQAA/Mu1X3h/tUfg3/zgU7tUewSqqKqRXi6XM27cuFxzzTW57bbbMnjw4DfdZ9iwYbn11ltbLJs8eXKGDRvWXmMCAMA72s6Deld7BP5p6Oa1PjSug6tqpB9zzDH55S9/mcsvvzy9evXK/PnzM3/+/Cxb9q9rMMaOHZvx48c3Pz/uuONy44035pxzzsnf/va3nHbaabnvvvsybty4anwLAADwjjD7OwdWe4QOb+jmtfn9uL2qPQZVVtVbsJVKpdUuv+SSS3L44YcnSfbdd98MGjQoEydObF5/5ZVX5uSTT87s2bOz9dZb53//938zevToVr2mW7ABAMCauR3b+tW5lLx/yLtywaG7OYP+DlZJhxbqPunrg0gHAABgfXrb3icdAAAAOjKRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIKoa6bfffnsOOuigbLrppimVSrn22mvXuv2UKVNSKpXe8Jg/f/76GRgAAADaUVUjfenSpdlpp51y/vnnV7TfY489lnnz5jU/+vbt204TAgAAwPrTpZovfsABB+SAAw6oeL++ffumd+/ebT8QAAAAVNHb8pr0nXfeOQMGDMj++++fu+66a63bNjY2pqGhocUDAAAAiuhtFekDBgzIRRddlKuuuipXXXVV6uvrs++++2b69Olr3GfChAmpq6trftTX16/HiQEAAKD1SuVyuVztIZKkVCrlmmuuyZgxYyrab5999skWW2yRyy67bLXrGxsb09jY2Py8oaEh9fX1Wbx4cWpra9/KyAAAAPCmGhoaUldX16oOreo16W3hve99b+688841rq+pqUlNTc16nAgAAADWzdvq7e6rM3PmzAwYMKDaYwAAAMBbVtUz6UuWLMnjjz/e/HzWrFmZOXNm+vTpky222CLjx4/PM888k0svvTRJcu6552bw4MHZfvvt8+qrr+ZnP/tZbrvtttx8883V+hYAAACgzVQ10u+7777st99+zc9POOGEJMlhhx2WiRMnZt68eZkzZ07z+uXLl+fLX/5ynnnmmfTs2TNDhw7NLbfc0uIYAAAA8HZVmA+OW18quWAfAAAA3qpKOvRtf006AAAAvFOIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKQqQDAABAQYh0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABdGl2gO8Ha1qKucvsxZmwcuvpm+v7nnv4D7p3KlU1WNXst+bbbum9ZUsT9Ji2W4DN8r9T73Uqufv2qAmKSUvLGms6OsFDa9m4dLl6d2zWxa9sm7/XLi0MYuWrUi5nNT16JqGV//19aJlyzNv0asZ0Lt7evfottrnz760bJ3+3Mvlcl5YsjyvrlyV7l06Z+MNuuXFpa89r+ncKaVSKctWrMzyleXUdOmUmi6v/f3aC0sbUy6XU9OlS7p1LqVxZVOWr1yVZSub0qNLp3Tr0jnLV67KKytWJeW1v37jyqasKiedUk6pVGr+OkkaV5VTLpfTqZSUy6WU89rXTU3JyjUct1xOmv65rpyk9M9/rmUMAKBg3tWza244fp9sUltT7VGgw6hqpN9+++05++yzc//992fevHm55pprMmbMmLXuM2XKlJxwwgl55JFHUl9fn5NPPjmHH374epk3SW58eF5O/8Ojmbf41eZlA+q659SDtsuoHQZU5diV7Pdm265p/Ud3GpDfPzCvVct79+yaJFn0yormZZ1K/wq21jynyNbtD8ofLwC8/bzwyors8e1bUtu9Sx48bWS1x4EOoapvd1+6dGl22mmnnH/++a3aftasWTnwwAOz3377ZebMmTn++OPz+c9/PjfddFM7T/qaGx+el6N/Ob1FkCbJ/MWv5uhfTs+ND89b78euZL8323bC9Y+udv28xa/m4ttntXr5oldWtAj05I0B/mbPAQAojoZXV2boaevnv7mhoyuVy+VC5FGpVHrTM+lf+9rX8sc//jEPP/xw87L/+q//yqJFi3LjjTe26nUaGhpSV1eXxYsXp7a2ttXzrWoq5wPfve0NQdo8f5L+dd1z59c+WPFb39f12JXsl2St2ybOZgMAsHb3fn2Et77DOqikQ99WHxw3bdq0jBgxosWykSNHZtq0aWvcp7GxMQ0NDS0e6+IvsxauNXDLee3M8l9mLVxvx65kvzfbNhHoAACs3ccuuLPaI8A73tsq0ufPn59+/fq1WNavX780NDRk2bLVf2DXhAkTUldX1/yor69fp9de8PLaA7fS7dri2JXsty5zAQDAv1u4dMWbbwS8JW+rSF8X48ePz+LFi5sfc+fOXafj9O3VvU23a4tjV7LfuswFAAD/rs8GXas9Arzjva1uwda/f/8899xzLZY999xzqa2tTY8ePVa7T01NTWpq3vp1M+8d3CcD6rpn/uJXV/sp1a9f//367cfWx7Er3W9t2yb55+21fAo3AACrd80XP1DtEeAd7211Jn3YsGG59dZbWyybPHlyhg0b1u6v3blTKacetF2S1+L3373+/NSDtlun+6Wv67Er2e/Nti0lOXKvwatdDwAAtd27+NA4WA+qGulLlizJzJkzM3PmzCSv3WJt5syZmTNnTpLX3qo+duzY5u2/8IUv5Mknn8yJJ56Yv/3tb7ngggvy29/+Nl/60pfWy7yjdhiQCz+9a/rXtXzreP+67rnw07u+pfukr+uxK9nvzbYdP3q71a4fUNc9R+09OANaubx3z67N90p/3f/9u4s3ew4AQHG4TzqsP1W9BduUKVOy3377vWH5YYcdlokTJ+bwww/P7NmzM2XKlBb7fOlLX8qjjz6azTffPN/85jdz+OGHt/o11/UWbP9uVVM5f5m1MAtefjV9e732dvJ1OYPelseuZL8323ZN6ytZnqTFst0GbpT7n3qpVc/ftUFNUkpeWNJY0dcLGl7NwqXL07tntyx6Zd3+uXBpYxYtW5FyOanr0TUNr/7r60XLlmfeolczoHf39O7RbbXPn31p9R9g+GbK5XJeWLI8r65cle5dOmfjDbrlxaWvPa/p3CmlUinLVqzM8pXl1HTplJour/392gtLG1Mul1PTpUu6dS6lcWVTlq9clWUrm9KjS6d069I5y1euyisrVq31OoZyuZzGlU1ZVU46pZxSqdT8dZI0riqnXC7/85KIUsp57eumpmTlGo5bLv/rjgHlvPYOjXJcTgEAbyfv6tk1Nxy/jzPo8BZV0qGFuU/6+tIWkQ4AAACt9Y69TzoAAAC8k4l0AAAAKAiRDgAAAAUh0gEAAKAgRDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABSESAcAAICCEOkAAABQECIdAAAACkKkAwAAQEGIdAAAACgIkQ4AAAAFIdIBAACgIEQ6AAAAFIRIBwAAgIIQ6QAAAFAQIh0AAAAKoku1B1jfyuVykqShoaHKkwAAANARvN6fr/fo2nS4SH/xxReTJPX19VWeBAAAgI7k5ZdfTl1d3Vq36XCR3qdPnyTJnDlz3vSHQ8fS0NCQ+vr6zJ07N7W1tdUeh4Lwe8Ga+N1gdfxesCZ+N1gdvxcdR7lczssvv5xNN930TbftcJHeqdNrl+HX1dX5HwKrVVtb63eDN/B7wZr43WB1/F6wJn43WB2/Fx1Da08S++A4AAAAKAiRDgAAAAXR4SK9pqYmp556ampqaqo9CgXjd4PV8XvBmvjdYHX8XrAmfjdYHb8XrE6p3JrPgAcAAADaXYc7kw4AAABFJdIBAACgIEQ6AAAAFIRIBwAAgIIQ6f/U2NiYnXfeOaVSKTNnzqz2OFTZRz/60WyxxRbp3r17BgwYkM985jN59tlnqz0WVTZ79uwcccQRGTx4cHr06JGtttoqp556apYvX17t0aiys846K8OHD0/Pnj3Tu3fvao9DFZ1//vkZNGhQunfvnve97335y1/+Uu2RqLLbb789Bx10UDbddNOUSqVce+211R6JApgwYUL22GOP9OrVK3379s2YMWPy2GOPVXssCkKk/9OJJ56YTTfdtNpjUBD77bdffvvb3+axxx7LVVddlSeeeCIf//jHqz0WVfa3v/0tTU1Nufjii/PII4/kBz/4QS666KJ8/etfr/ZoVNny5cvziU98IkcffXS1R6GKfvOb3+SEE07IqaeemunTp2ennXbKyJEjs2DBgmqPRhUtXbo0O+20U84///xqj0KBTJ06Ncccc0zuueeeTJ48OStWrMiHP/zhLF26tNqjUQBuwZbkhhtuyAknnJCrrroq22+/fWbMmJGdd9652mNRIL///e8zZsyYNDY2pmvXrtUehwI5++yzc+GFF+bJJ5+s9igUwMSJE3P88cdn0aJF1R6FKnjf+96XPfbYIz/+8Y+TJE1NTamvr8///M//5KSTTqrydBRBqVTKNddckzFjxlR7FArm+eefT9++fTN16tTsvffe1R6HKuvwZ9Kfe+65HHnkkbnsssvSs2fPao9DAS1cuDC/+tWvMnz4cIHOGyxevDh9+vSp9hhAlS1fvjz3339/RowY0bysU6dOGTFiRKZNm1bFyYC3g8WLFyeJ/6YgSQeP9HK5nMMPPzxf+MIXsvvuu1d7HArma1/7WjbYYINsvPHGmTNnTiZNmlTtkSiYxx9/PD/60Y9y1FFHVXsUoMpeeOGFrFq1Kv369WuxvF+/fpk/f36VpgLeDpqamnL88cfn/e9/f3bYYYdqj0MBvCMj/aSTTkqpVFrr429/+1t+9KMf5eWXX8748eOrPTLrQWt/L1731a9+NTNmzMjNN9+czp07Z+zYsXF1yDtTpb8bSfLMM89k1KhR+cQnPpEjjzyySpPTntbl9wIAKnXMMcfk4YcfzhVXXFHtUSiId+Q16c8//3xefPHFtW6z5ZZb5pOf/GT+8Ic/pFQqNS9ftWpVOnfunEMPPTS/+MUv2ntU1qPW/l5069btDcuffvrp1NfX5+67786wYcPaa0SqpNLfjWeffTb77rtv9txzz0ycODGdOr0j/76zw1uXf2e4Jr3jWr58eXr27Jnf/e53La43Puyww7Jo0SLvxiKJa9J5o3HjxmXSpEm5/fbbM3jw4GqPQ0F0qfYA7WGTTTbJJpts8qbbnXfeefnWt77V/PzZZ5/NyJEj85vf/Cbve9/72nNEqqC1vxer09TUlOS1W/XxzlPJ78YzzzyT/fbbL7vttlsuueQSgf4O9lb+nUHH061bt+y222659dZbmwOsqakpt956a8aNG1fd4YDCKZfL+Z//+Z9cc801mTJlikCnhXdkpLfWFlts0eL5hhtumCTZaqutsvnmm1djJArgz3/+c+6999584AMfyEYbbZQnnngi3/zmN7PVVls5i97BPfPMM9l3330zcODAfO9738vzzz/fvK5///5VnIxqmzNnThYuXJg5c+Zk1apVmTlzZpJkyJAhzf/fwjvfCSeckMMOOyy777573vve9+bcc8/N0qVL89nPfrbao1FFS5YsyeOPP978fNasWZk5c2b69Onzhv8WpeM45phjcvnll2fSpEnp1atX82dX1NXVpUePHlWejmp7R77dfV3Nnj07gwcPdgu2Du6hhx7KcccdlwceeCBLly7NgAEDMmrUqJx88snZbLPNqj0eVTRx4sQ1/se2f5V2bIcffvhqL5H605/+lH333Xf9D0TV/PjHP87ZZ5+d+fPnZ+edd855553n3Xkd3JQpU7Lffvu9Yflhhx2WiRMnrv+BKIR/v9z2311yySU5/PDD1+8wFI5IBwAAgIJwMSUAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgC00pQpU1IqlbJo0aJqj1KRUqmUa6+9ts2ON2jQoJx77rltdrxqmT17dkqlUmbOnJnk7fvnC8A7i0gHgLwWsmt7nHbaadUe8U2ddtpp2Xnnnd+wfN68eTnggAPW6ywLFy7M8ccfn4EDB6Zbt27ZdNNN87nPfS5z5sxZr3O87vDDD8+YMWNaLKuvr8+8efOyww47VGUmAFidLtUeAACKYN68ec1f/+Y3v8kpp5ySxx57rHnZhhtumPvuu68ao2X58uXp1q3bOu/fv3//NpzmzS1cuDB77rlnunXrlosuuijbb799Zs+enZNPPjl77LFHpk2bli233HK9zrQ6nTt3Xu8/GwB4M86kA0BeC9nXH3V1dSmVSi2Wbbjhhs3b3n///dl9993Ts2fPDB8+vEXMJ8mkSZOy6667pnv37tlyyy1z+umnZ+XKlc3r58yZk4MPPjgbbrhhamtr88lPfjLPPfdc8/rXz4j/7Gc/y+DBg9O9e/ckyaJFi/L5z38+m2yySWpra/PBD34wDzzwQJJk4sSJOf300/PAAw80n/2fOHFikje+3f3pp5/OIYcckj59+mSDDTbI7rvvnj//+c9JkieeeCIHH3xw+vXrlw033DB77LFHbrnllop+lt/4xjfy7LPP5pZbbskBBxyQLbbYInvvvXduuummdO3aNcccc0zztqt76/zOO+/c4p0L3//+97Pjjjtmgw02SH19fb74xS9myZIlzesnTpyY3r1756abbsq2226bDTfcMKNGjWr+i5fTTjstv/jFLzJp0qTmn82UKVPe8Hb31bnzzjuz1157pUePHqmvr8+xxx6bpUuXNq+/4IILsvXWW6d79+7p169fPv7xj1f0swKA/0ukA0CFvvGNb+Scc87Jfffdly5duuRzn/tc87o77rgjY8eOzXHHHZdHH300F198cSZOnJizzjorSdLU1JSDDz44CxcuzNSpUzN58uQ8+eST+dSnPtXiNR5//PFcddVVufrqq5sj8hOf+EQWLFiQG264Iffff3923XXXfOhDH8rChQvzqU99Kl/+8pez/fbbZ968eZk3b94bjpkkS5YsyT777JNnnnkmv//97/PAAw/kxBNPTFNTU/P60aNH59Zbb82MGTMyatSoHHTQQa1+m3pTU1OuuOKKHHrooW84S92jR4988YtfzE033ZSFCxe2+ufdqVOnnHfeeXnkkUfyi1/8IrfddltOPPHEFtu88sor+d73vpfLLrsst99+e+bMmZOvfOUrSZKvfOUr+eQnP9kc7vPmzcvw4cPf9HWfeOKJjBo1Kv/5n/+ZBx98ML/5zW9y5513Zty4cUmS++67L8cee2zOOOOMPPbYY7nxxhuz9957t/r7AoDVKgMALVxyySXlurq6Nyz/05/+VE5SvuWWW5qX/fGPfywnKS9btqxcLpfLH/rQh8rf/va3W+x32WWXlQcMGFAul8vlm2++udy5c+fynDlzmtc/8sgj5STlv/zlL+VyuVw+9dRTy127di0vWLCgeZs77rijXFtbW3711VdbHHurrbYqX3zxxc377bTTTm+YO0n5mmuuKZfL5fLFF19c7tWrV/nFF19s5U+jXN5+++3LP/rRj5qfDxw4sPyDH/xgtdvOnz+/nGSN66+++upykvKf//znNR5rp512Kp966qlrnOfKK68sb7zxxs3PL7nkknKS8uOPP9687Pzzzy/369ev+flhhx1WPvjgg1scZ9asWeUk5RkzZpTL5X/9+b700kvlcrlcPuKII8r//d//3WKfO+64o9ypU6fysmXLyldddVW5tra23NDQsMZZAaBSrkkHgAoNHTq0+esBAwYkSRYsWJAtttgiDzzwQO66667mM+dJsmrVqrz66qt55ZVX8te//jX19fWpr69vXr/ddtuld+/e+etf/5o99tgjSTJw4MBssskmzds88MADWbJkSTbeeOMWsyxbtixPPPFEq2efOXNmdtlll/Tp02e165csWZLTTjstf/zjHzNv3rysXLkyy5Ytq/gD38rl8lrXV3KN/S233JIJEybkb3/7WxoaGrJy5crmn2fPnj2TJD179sxWW23VvM+AAQOyYMGCimb+vx544IE8+OCD+dWvftW8rFwup6mpKbNmzcr++++fgQMHZsstt8yoUaMyatSofOxjH2ueCQDWhUgHgAp17dq1+etSqZQkLd4ufvrpp+c//uM/3rDf69eWt8YGG2zQ4vmSJUsyYMCATJky5Q3b9u7du9XH7dGjx1rXf+UrX8nkyZPzve99L0OGDEmPHj3y8Y9/PMuXL2/V8TfZZJPmv3BYnb/+9a/p0qVLBg8enOS1t7L/36BfsWJF89ezZ8/ORz7ykRx99NE566yz0qdPn9x555054ogjsnz58uYg/vc/k+S1P5c3+4uCN7NkyZIcddRROfbYY9+wbosttki3bt0yffr0TJkyJTfffHNOOeWUnHbaabn33nsr+jMBgH8n0gGgDe2666557LHHMmTIkNWu33bbbTN37tzMnTu3+Wz6o48+mkWLFmW77bZb63Hnz5+fLl26ZNCgQavdplu3blm1atVa5xs6dGh+9rOfZeHChas9m37XXXfl8MMPz8c+9rEkr4Xq7Nmz13rMf9epU6d88pOfzK9+9aucccYZLa5LX7ZsWS644IJ87GMfS11dXZLXov7fP1m/oaEhs2bNan5+//33p6mpKeecc046dXrto3R++9vftnqe17XmZ/N/7brrrnn00UfX+GeZJF26dMmIESMyYsSInHrqqendu3duu+221f4lDQC0hg+OA4A2dMopp+TSSy/N6aefnkceeSR//etfc8UVV+Tkk09OkowYMSI77rhjDj300EyfPj1/+ctfMnbs2Oyzzz7Zfffd13jcESNGZNiwYRkzZkxuvvnmzJ49O3fffXe+8Y1vNN8abtCgQZk1a1ZmzpyZF154IY2NjW84ziGHHJL+/ftnzJgxueuuu/Lkk0/mqquuyrRp05IkW2+9dfOH1T3wwAP5//6//6/5XQKtddZZZ6V///7Zf//9c8MNN2Tu3Lm5/fbbM3LkyHTq1Ck//OEPm7f94Ac/mMsuuyx33HFHHnrooRx22GHp3Llz8/ohQ4ZkxYoV+dGPfpQnn3wyl112WS666KKK5nn9Z/Pggw/mscceywsvvNDibP2afO1rX8vdd9+dcePGZebMmfnHP/6RSZMmNX9w3HXXXZfzzjsvM2fOzFNPPZVLL700TU1Nec973lPxfADwOpEOAG1o5MiRue6663LzzTdnjz32yJ577pkf/OAHGThwYJLX3oY9adKkbLTRRtl7770zYsSIbLnllvnNb36z1uOWSqVcf/312XvvvfPZz3427373u/Nf//Vfeeqpp9KvX78kyX/+539m1KhR2W+//bLJJpvk17/+9RuO061bt9x8883p27dvRo8enR133DHf+c53msP4+9//fjbaaKMMHz48Bx10UEaOHJldd921op/Bu971rtxzzz3Zb7/9ctRRR2Xw4MHZZ599smrVqsycObP5Ov4kGT9+fPbZZ5985CMfyYEHHpgxY8a0uLZ8p512yve///1897vfzQ477JBf/epXmTBhQkXzJMmRRx6Z97znPdl9992zySab5K677nrTfYYOHZqpU6fm73//e/baa6/ssssuOeWUU7Lpppsmee0yg6uvvjof/OAHs+222+aiiy7Kr3/962y//fYVzwcAryuV3+oFWwAAb+L//b//ly9+8Yv5zW9+kzFjxlR7HAAoLGfSAYB2d8QRR+SKK67IX//61yxbtqza4wBAYTmTDgAAAAXhTDoAAAAUhEgHAACAghDpAAAAUBAiHQAAAApCpAMAAEBBiHQAAAAoCJEOAAAABSHSAQAAoCBEOgAAABTE/w8E8sNdIRvFOwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}