Olympic_Games_Workshop_Solutions.ipynb

{
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  "metadata": {
    "colab": {
      "name": "Olympic Games Workshop Solutions",
      "provenance": [],
      "authorship_tag": "ABX9TyPUO5pNnjqE7tNuiw7vZQaa",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ilias1111/pandas-introduction-seminar/blob/main/Olympic_Games_Workshop_Solutions.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "u5-GvjqruPWC"
      },
      "source": [
        "%load_ext google.colab.data_table"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XyhauznzuUq7"
      },
      "source": [
        "import pandas as pd"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tSDtt6t733Gt"
      },
      "source": [
        "The dataset we will use is based on a [kaggle dataset](https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results?select=athlete_events.csv#)\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GTmO5OX0uYnz"
      },
      "source": [
        "df = pd.read_csv(\"https://drive.google.com/uc?export=download&id=1slaLgLlqsKFptK_5daEylUdS0keR9D1a\")"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qNlTfB9IEHFe"
      },
      "source": [
        "# Playground\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QBh5XM1d4Qj_",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 194
        },
        "outputId": "1067c3c4-b365-4abc-e0ab-bc801526753b"
      },
      "source": [
        "df.head(5)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
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              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>A Dijiang</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>80.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Basketball</td>\n",
              "      <td>Basketball Men's Basketball</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>A Lamusi</td>\n",
              "      <td>M</td>\n",
              "      <td>23.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Extra-Lightweight</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Gunnar Nielsen Aaby</td>\n",
              "      <td>M</td>\n",
              "      <td>24.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1920 Summer</td>\n",
              "      <td>1920</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Antwerpen</td>\n",
              "      <td>Football</td>\n",
              "      <td>Football Men's Football</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>Edgar Lindenau Aabye</td>\n",
              "      <td>M</td>\n",
              "      <td>34.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Denmark/Sweden</td>\n",
              "      <td>DEN</td>\n",
              "      <td>1900 Summer</td>\n",
              "      <td>1900</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Paris</td>\n",
              "      <td>Tug-Of-War</td>\n",
              "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Christine Jacoba Aaftink</td>\n",
              "      <td>F</td>\n",
              "      <td>21.0</td>\n",
              "      <td>185.0</td>\n",
              "      <td>82.0</td>\n",
              "      <td>Netherlands</td>\n",
              "      <td>NED</td>\n",
              "      <td>1988 Winter</td>\n",
              "      <td>1988</td>\n",
              "      <td>Winter</td>\n",
              "      <td>Calgary</td>\n",
              "      <td>Speed Skating</td>\n",
              "      <td>Speed Skating Women's 500 metres</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   ID                      Name  ...                             Event  Medal\n",
              "0   1                 A Dijiang  ...       Basketball Men's Basketball    NaN\n",
              "1   2                  A Lamusi  ...      Judo Men's Extra-Lightweight    NaN\n",
              "2   3       Gunnar Nielsen Aaby  ...           Football Men's Football    NaN\n",
              "3   4      Edgar Lindenau Aabye  ...       Tug-Of-War Men's Tug-Of-War   Gold\n",
              "4   5  Christine Jacoba Aaftink  ...  Speed Skating Women's 500 metres    NaN\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NM6lfSfCELDj",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b80f4bec-f139-405c-8315-c4b98e2d1491"
      },
      "source": [
        "df.shape"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(271116, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UwpN3gUHEKfG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1bae9d86-2105-4d97-d790-360df56799c3"
      },
      "source": [
        "df.info()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 271116 entries, 0 to 271115\n",
            "Data columns (total 15 columns):\n",
            " #   Column  Non-Null Count   Dtype  \n",
            "---  ------  --------------   -----  \n",
            " 0   ID      271116 non-null  int64  \n",
            " 1   Name    271116 non-null  object \n",
            " 2   Sex     271116 non-null  object \n",
            " 3   Age     261642 non-null  float64\n",
            " 4   Height  210945 non-null  float64\n",
            " 5   Weight  208241 non-null  float64\n",
            " 6   Team    271116 non-null  object \n",
            " 7   NOC     271116 non-null  object \n",
            " 8   Games   271116 non-null  object \n",
            " 9   Year    271116 non-null  int64  \n",
            " 10  Season  271116 non-null  object \n",
            " 11  City    271116 non-null  object \n",
            " 12  Sport   271116 non-null  object \n",
            " 13  Event   271116 non-null  object \n",
            " 14  Medal   39783 non-null   object \n",
            "dtypes: float64(3), int64(2), object(10)\n",
            "memory usage: 31.0+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p8jFAjtqBa0b"
      },
      "source": [
        ""
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jiW8XZVfvdtq"
      },
      "source": [
        "# ***Questions***"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NSs1ouxqvAcg"
      },
      "source": [
        "**Q1:** Who is the youngest and the oldest athlete ever?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8vWZs1TUvvfR",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "outputId": "c4758790-5212-4513-dd55-e28551d509f9"
      },
      "source": [
        "df.sort_values(by=['Age']).head(1)"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 142882,\n            'f': \"142882\",\n        },\n{\n            'v': 71691,\n            'f': \"71691\",\n        },\n\"Dimitrios Loundras\",\n\"M\",\n{\n            'v': 10.0,\n            'f': \"10.0\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Ethnikos Gymnastikos Syllogos\",\n\"GRE\",\n\"1896 Summer\",\n{\n            'v': 1896,\n            'f': \"1896\",\n        },\n\"Summer\",\n\"Athina\",\n\"Gymnastics\",\n\"Gymnastics Men's Parallel Bars, Teams\",\n\"Bronze\"]],\n        columns: [[\"number\", \"index\"], [\"number\", \"ID\"], [\"string\", \"Name\"], [\"string\", \"Sex\"], [\"number\", \"Age\"], [\"number\", \"Height\"], [\"number\", \"Weight\"], [\"string\", \"Team\"], [\"string\", \"NOC\"], [\"string\", \"Games\"], [\"number\", \"Year\"], [\"string\", \"Season\"], [\"string\", \"City\"], [\"string\", \"Sport\"], [\"string\", \"Event\"], [\"string\", \"Medal\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
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              "      <th>142882</th>\n",
              "      <td>71691</td>\n",
              "      <td>Dimitrios Loundras</td>\n",
              "      <td>M</td>\n",
              "      <td>10.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Ethnikos Gymnastikos Syllogos</td>\n",
              "      <td>GRE</td>\n",
              "      <td>1896 Summer</td>\n",
              "      <td>1896</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Gymnastics</td>\n",
              "      <td>Gymnastics Men's Parallel Bars, Teams</td>\n",
              "      <td>Bronze</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            "text/plain": [
              "           ID  ...   Medal\n",
              "142882  71691  ...  Bronze\n",
              "\n",
              "[1 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
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          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vsmbsanE44FX"
      },
      "source": [
        "age = df['Age'].min()"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "id": "2Rc_ZbIeCsZO",
        "outputId": "14f36e1c-54ff-437d-a4f3-6edf74c3dd3d"
      },
      "source": [
        "df.query(\"Age == @age\")"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 142882,\n            'f': \"142882\",\n        },\n{\n            'v': 71691,\n            'f': \"71691\",\n        },\n\"Dimitrios Loundras\",\n\"M\",\n{\n            'v': 10.0,\n            'f': \"10.0\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Ethnikos Gymnastikos Syllogos\",\n\"GRE\",\n\"1896 Summer\",\n{\n            'v': 1896,\n            'f': \"1896\",\n        },\n\"Summer\",\n\"Athina\",\n\"Gymnastics\",\n\"Gymnastics Men's Parallel Bars, Teams\",\n\"Bronze\"]],\n        columns: [[\"number\", \"index\"], [\"number\", \"ID\"], [\"string\", \"Name\"], [\"string\", \"Sex\"], [\"number\", \"Age\"], [\"number\", \"Height\"], [\"number\", \"Weight\"], [\"string\", \"Team\"], [\"string\", \"NOC\"], [\"string\", \"Games\"], [\"number\", \"Year\"], [\"string\", \"Season\"], [\"string\", \"City\"], [\"string\", \"Sport\"], [\"string\", \"Event\"], [\"string\", \"Medal\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
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              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>142882</th>\n",
              "      <td>71691</td>\n",
              "      <td>Dimitrios Loundras</td>\n",
              "      <td>M</td>\n",
              "      <td>10.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Ethnikos Gymnastikos Syllogos</td>\n",
              "      <td>GRE</td>\n",
              "      <td>1896 Summer</td>\n",
              "      <td>1896</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Gymnastics</td>\n",
              "      <td>Gymnastics Men's Parallel Bars, Teams</td>\n",
              "      <td>Bronze</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           ID  ...   Medal\n",
              "142882  71691  ...  Bronze\n",
              "\n",
              "[1 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kdX5txhYvLbC"
      },
      "source": [
        "**Q2:** Who is the youngest and the oldest athlete ever that has a gold metal?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2iq8ywN8vwBx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 110
        },
        "outputId": "6208211e-7b76-4798-fb81-97e2a2a45428"
      },
      "source": [
        "df.query('Medal==\"Gold\"',inplace=False).sort_values(by=['Age'])[:1]"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 268602,\n            'f': \"268602\",\n        },\n{\n            'v': 134381,\n            'f': \"134381\",\n        },\n\"Klaus Zerta\",\n\"M\",\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 165.0,\n            'f': \"165.0\",\n        },\n{\n            'v': 48.0,\n            'f': \"48.0\",\n        },\n\"Germany\",\n\"GER\",\n\"1960 Summer\",\n{\n            'v': 1960,\n            'f': \"1960\",\n        },\n\"Summer\",\n\"Roma\",\n\"Rowing\",\n\"Rowing Men's Coxed Pairs\",\n\"Gold\"]],\n        columns: [[\"number\", \"index\"], [\"number\", \"ID\"], [\"string\", \"Name\"], [\"string\", \"Sex\"], [\"number\", \"Age\"], [\"number\", \"Height\"], [\"number\", \"Weight\"], [\"string\", \"Team\"], [\"string\", \"NOC\"], [\"string\", \"Games\"], [\"number\", \"Year\"], [\"string\", \"Season\"], [\"string\", \"City\"], [\"string\", \"Sport\"], [\"string\", \"Event\"], [\"string\", \"Medal\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Team</th>\n",
              "      <th>NOC</th>\n",
              "      <th>Games</th>\n",
              "      <th>Year</th>\n",
              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>268602</th>\n",
              "      <td>134381</td>\n",
              "      <td>Klaus Zerta</td>\n",
              "      <td>M</td>\n",
              "      <td>13.0</td>\n",
              "      <td>165.0</td>\n",
              "      <td>48.0</td>\n",
              "      <td>Germany</td>\n",
              "      <td>GER</td>\n",
              "      <td>1960 Summer</td>\n",
              "      <td>1960</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Roma</td>\n",
              "      <td>Rowing</td>\n",
              "      <td>Rowing Men's Coxed Pairs</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            ID         Name Sex  ...   Sport                     Event  Medal\n",
              "268602  134381  Klaus Zerta   M  ...  Rowing  Rowing Men's Coxed Pairs   Gold\n",
              "\n",
              "[1 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0z8U6z2W44tV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "89f37958-a7da-4867-e030-4d1cfd416f2a"
      },
      "source": [
        "df['Age'][df['Medal'] == 'Gold'].min()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "13.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NE3ygVHavL5p"
      },
      "source": [
        "**Q3:** Who is the youngest and the oldest athlete ever that has a medal?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Sx-JYMUxvwhb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a62659b1-7ac9-444d-bb93-50a6b8e6c39a"
      },
      "source": [
        "%%timeit\r\n",
        "df.query('Medal==\"Gold\" or Medal==\"Silver\" or Medal==\"Bronze\"',inplace=False).sort_values(by=['Age']).iloc[[0]]"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "10 loops, best of 3: 39.3 ms per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8CTNsC89FU7X",
        "outputId": "b66cb3cf-422a-4706-8edf-e40396d4865b"
      },
      "source": [
        "%%timeit\r\n",
        "df[~df['Medal'].isna()].sort_values(by='Age', ascending=False).head(1)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "10 loops, best of 3: 30.6 ms per loop\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QtlA48rdvVkS"
      },
      "source": [
        "**Q4:** Display all the judo athletes that have a gold medal."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bdt4Oxl3vw99",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "outputId": "8d13e11c-4a5c-40b9-900e-1a264f2d5f05"
      },
      "source": [
        "df.loc[(df.Sport==\"Judo\") & (df.Medal=='Gold')]"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 4556,\n            'f': \"4556\",\n        },\n{\n            'v': 2589,\n            'f': \"2589\",\n        },\n\"Marc Robert Alexandre\",\n\"M\",\n{\n            'v': 28.0,\n            'f': \"28.0\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 73.0,\n            'f': \"73.0\",\n        },\n\"France\",\n\"FRA\",\n\"1988 Summer\",\n{\n            'v': 1988,\n            'f': \"1988\",\n        },\n\"Summer\",\n\"Seoul\",\n\"Judo\",\n\"Judo Men's Lightweight\",\n\"Gold\"],\n [{\n            'v': 6364,\n            'f': \"6364\",\n        },\n{\n            'v': 3567,\n            'f': \"3567\",\n        },\n\"An Byeong-Geun\",\n\"M\",\n{\n            'v': 22.0,\n            'f': \"22.0\",\n        },\n{\n            'v': 172.0,\n            'f': \"172.0\",\n        },\n{\n            'v': 78.0,\n            'f': \"78.0\",\n        },\n\"South Korea\",\n\"KOR\",\n\"1984 Summer\",\n{\n            'v': 1984,\n            'f': \"1984\",\n        },\n\"Summer\",\n\"Los Angeles\",\n\"Judo\",\n\"Judo Men's Lightweight\",\n\"Gold\"],\n [{\n            'v': 6398,\n            'f': \"6398\",\n        },\n{\n            'v': 3593,\n            'f': \"3593\",\n        },\n\"An Kum-Ae\",\n\"F\",\n{\n            'v': 32.0,\n            'f': \"32.0\",\n        },\n{\n            'v': 160.0,\n            'f': \"160.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        },\n\"North Korea\",\n\"PRK\",\n\"2012 Summer\",\n{\n            'v': 2012,\n            'f': \"2012\",\n        },\n\"Summer\",\n\"London\",\n\"Judo\",\n\"Judo Women's Half-Lightweight\",\n\"Gold\"],\n [{\n            'v': 6557,\n            'f': \"6557\",\n        },\n{\n            'v': 3672,\n            'f': \"3672\",\n        },\n\"milie Andol\",\n\"F\",\n{\n            'v': 28.0,\n            'f': \"28.0\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 97.0,\n            'f': \"97.0\",\n        },\n\"France\",\n\"FRA\",\n\"2016 Summer\",\n{\n            'v': 2016,\n            'f': \"2016\",\n        },\n\"Summer\",\n\"Rio de Janeiro\",\n\"Judo\",\n\"Judo Women's Heavyweight\",\n\"Gold\"],\n [{\n            'v': 8014,\n            'f': \"8014\",\n        },\n{\n            'v': 4435,\n            'f': \"4435\",\n        },\n\"Noriko Anno\",\n\"F\",\n{\n            'v': 28.0,\n            'f': \"28.0\",\n        },\n{\n            'v': 162.0,\n            'f': \"162.0\",\n        },\n{\n            'v': 76.0,\n            'f': \"76.0\",\n        },\n\"Japan\",\n\"JPN\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Judo\",\n\"Judo Women's Half-Heavyweight\",\n\"Gold\"],\n [{\n            'v': 12915,\n            'f': \"12915\",\n        },\n{\n            'v': 7026,\n            'f': \"7026\",\n        },\n\"Mashu Baker\",\n\"M\",\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 178.0,\n            'f': \"178.0\",\n        },\n{\n            'v': 90.0,\n            'f': \"90.0\",\n        },\n\"Japan\",\n\"JPN\",\n\"2016 Summer\",\n{\n            'v': 2016,\n            'f': \"2016\",\n        },\n\"Summer\",\n\"Rio de Janeiro\",\n\"Judo\",\n\"Judo Men's Middleweight\",\n\"Gold\"],\n [{\n            'v': 15685,\n            'f': \"15685\",\n        },\n{\n            'v': 8452,\n            'f': \"8452\",\n        },\n\"Fabio Basile\",\n\"M\",\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 160.0,\n            'f': \"160.0\",\n        },\n{\n            'v': 66.0,\n            'f': \"66.0\",\n        },\n\"Italy\",\n\"ITA\",\n\"2016 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NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Spain\",\n\"ESP\",\n\"1992 Summer\",\n{\n            'v': 1992,\n            'f': \"1992\",\n        },\n\"Summer\",\n\"Barcelona\",\n\"Judo\",\n\"Judo Women's Lightweight\",\n\"Gold\"],\n [{\n            'v': 25286,\n            'f': \"25286\",\n        },\n{\n            'v': 13227,\n            'f': \"13227\",\n        },\n\"Yvonne Bnisch\",\n\"F\",\n{\n            'v': 23.0,\n            'f': \"23.0\",\n        },\n{\n            'v': 168.0,\n            'f': \"168.0\",\n        },\n{\n            'v': 61.0,\n            'f': \"61.0\",\n        },\n\"Germany\",\n\"GER\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Judo\",\n\"Judo Women's Lightweight\",\n\"Gold\"],\n [{\n            'v': 27083,\n            'f': \"27083\",\n        },\n{\n            'v': 14085,\n            'f': \"14085\",\n        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[{\n            'v': 40647,\n            'f': \"40647\",\n        },\n{\n            'v': 20944,\n            'f': \"20944\",\n        },\n\"Shota Chochishvili\",\n\"M\",\n{\n            'v': 22.0,\n            'f': \"22.0\",\n        },\n{\n            'v': 190.0,\n            'f': \"190.0\",\n        },\n{\n            'v': 110.0,\n            'f': \"110.0\",\n        },\n\"Soviet Union\",\n\"URS\",\n\"1972 Summer\",\n{\n            'v': 1972,\n            'f': \"1972\",\n        },\n\"Summer\",\n\"Munich\",\n\"Judo\",\n\"Judo Men's Half-Heavyweight\",\n\"Gold\"],\n [{\n            'v': 40838,\n            'f': \"40838\",\n        },\n{\n            'v': 21043,\n            'f': \"21043\",\n        },\n\"Choi Min-Ho\",\n\"M\",\n{\n            'v': 27.0,\n            'f': \"27.0\",\n        },\n{\n            'v': 163.0,\n            'f': \"163.0\",\n        },\n{\n            'v': 65.0,\n            'f': \"65.0\",\n        },\n\"South Korea\",\n\"KOR\",\n\"2008 Summer\",\n{\n            'v': 2008,\n            'f': \"2008\",\n        },\n\"Summer\",\n\"Beijing\",\n\"Judo\",\n\"Judo Men's Extra-Lightweight\",\n\"Gold\"],\n [{\n            'v': 52425,\n            'f': \"52425\",\n        },\n{\n            'v': 26938,\n            'f': \"26938\",\n        },\n\"Lucie Dcosse\",\n\"F\",\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        },\n{\n            'v': 168.0,\n            'f': \"168.0\",\n        },\n{\n            'v': 70.0,\n            'f': \"70.0\",\n        },\n\"France\",\n\"FRA\",\n\"2012 Summer\",\n{\n            'v': 2012,\n            'f': \"2012\",\n        },\n\"Summer\",\n\"London\",\n\"Judo\",\n\"Judo Women's Middleweight\",\n\"Gold\"],\n [{\n            'v': 58075,\n            'f': \"58075\",\n        },\n{\n            'v': 29718,\n            'f': \"29718\",\n        },\n\"David Douillet\",\n\"M\",\n{\n            'v': 27.0,\n            'f': \"27.0\",\n        },\n{\n            'v': 196.0,\n            'f': \"196.0\",\n        },\n{\n            'v': 125.0,\n            'f': \"125.0\",\n        },\n\"France\",\n\"FRA\",\n\"1996 Summer\",\n{\n            'v': 1996,\n            'f': \"1996\",\n        },\n\"Summer\",\n\"Atlanta\",\n\"Judo\",\n\"Judo Men's Heavyweight\",\n\"Gold\"],\n [{\n            'v': 58076,\n            'f': \"58076\",\n        },\n{\n            'v': 29718,\n            'f': \"29718\",\n        },\n\"David Douillet\",\n\"M\",\n{\n            'v': 31.0,\n            'f': \"31.0\",\n        },\n{\n            'v': 196.0,\n            'f': \"196.0\",\n        },\n{\n            'v': 125.0,\n            'f': \"125.0\",\n        },\n\"France\",\n\"FRA\",\n\"2000 Summer\",\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n\"Summer\",\n\"Sydney\",\n\"Judo\",\n\"Judo Men's Heavyweight\",\n\"Gold\"],\n [{\n            'v': 59683,\n            'f': \"59683\",\n        },\n{\n            'v': 30576,\n            'f': \"30576\",\n        },\n\"Alina Alexandra Dumitru (-Croitoru)\",\n\"F\",\n{\n            'v': 25.0,\n            'f': \"25.0\",\n        },\n{\n            'v': 158.0,\n            'f': \"158.0\",\n        },\n{\n            'v': 48.0,\n            'f': \"48.0\",\n        },\n\"Romania\",\n\"ROU\",\n\"2008 Summer\",\n{\n            'v': 2008,\n            'f': \"2008\",\n        },\n\"Summer\",\n\"Beijing\",\n\"Judo\",\n\"Judo Women's Extra-Lightweight\",\n\"Gold\"],\n [{\n            'v': 63462,\n            'f': \"63462\",\n        },\n{\n            'v': 32525,\n            'f': \"32525\",\n        },\n\"Yuko Emoto\",\n\"F\",\n{\n            'v': 23.0,\n            'f': \"23.0\",\n        },\n{\n            'v': 161.0,\n            'f': \"161.0\",\n        },\n{\n            'v': 61.0,\n            'f': \"61.0\",\n        },\n\"Japan\",\n\"JPN\",\n\"1996 Summer\",\n{\n            'v': 1996,\n            'f': \"1996\",\n        },\n\"Summer\",\n\"Atlanta\",\n\"Judo\",\n\"Judo Women's Half-Middleweight\",\n\"Gold\"],\n [{\n           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\"263772\",\n        },\n{\n            'v': 132001,\n            'f': \"132001\",\n        },\n\"Xian Dongmei\",\n\"F\",\n{\n            'v': 32.0,\n            'f': \"32.0\",\n        },\n{\n            'v': 158.0,\n            'f': \"158.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        },\n\"China\",\n\"CHN\",\n\"2008 Summer\",\n{\n            'v': 2008,\n            'f': \"2008\",\n        },\n\"Summer\",\n\"Beijing\",\n\"Judo\",\n\"Judo Women's Half-Lightweight\",\n\"Gold\"],\n [{\n            'v': 264527,\n            'f': \"264527\",\n        },\n{\n            'v': 132377,\n            'f': \"132377\",\n        },\n\"Yasuhiro Yamashita\",\n\"M\",\n{\n            'v': 27.0,\n            'f': \"27.0\",\n        },\n{\n            'v': 180.0,\n            'f': \"180.0\",\n        },\n{\n            'v': 127.0,\n            'f': \"127.0\",\n        },\n\"Japan\",\n\"JPN\",\n\"1984 Summer\",\n{\n            'v': 1984,\n            'f': \"1984\",\n        },\n\"Summer\",\n\"Los Angeles\",\n\"Judo\",\n\"Judo Men's Open Class\",\n\"Gold\"],\n [{\n            'v': 264907,\n            'f': \"264907\",\n        },\n{\n            'v': 132558,\n            'f': \"132558\",\n        },\n\"Yang Xiuli\",\n\"F\",\n{\n            'v': 24.0,\n            'f': \"24.0\",\n        },\n{\n            'v': 173.0,\n            'f': \"173.0\",\n        },\n{\n            'v': 77.0,\n            'f': \"77.0\",\n        },\n\"China\",\n\"CHN\",\n\"2008 Summer\",\n{\n            'v': 2008,\n            'f': \"2008\",\n        },\n\"Summer\",\n\"Beijing\",\n\"Judo\",\n\"Judo Women's Half-Heavyweight\",\n\"Gold\"],\n [{\n            'v': 266081,\n            'f': \"266081\",\n        },\n{\n            'v': 133119,\n            'f': \"133119\",\n        },\n\"Hidehiko Yoshida\",\n\"M\",\n{\n            'v': 22.0,\n            'f': \"22.0\",\n        },\n{\n            'v': 180.0,\n            'f': \"180.0\",\n        },\n{\n            'v': 90.0,\n            'f': \"90.0\",\n        },\n\"Japan\",\n\"JPN\",\n\"1992 Summer\",\n{\n            'v': 1992,\n            'f': \"1992\",\n        },\n\"Summer\",\n\"Barcelona\",\n\"Judo\",\n\"Judo Men's Half-Middleweight\",\n\"Gold\"],\n [{\n            'v': 266658,\n            'f': \"266658\",\n        },\n{\n            'v': 133396,\n            'f': \"133396\",\n        },\n\"Yuan Hua\",\n\"F\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 172.0,\n            'f': \"172.0\",\n        },\n{\n            'v': 90.0,\n            'f': \"90.0\",\n        },\n\"China\",\n\"CHN\",\n\"2000 Summer\",\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n\"Summer\",\n\"Sydney\",\n\"Judo\",\n\"Judo Women's Heavyweight\",\n\"Gold\"],\n [{\n            'v': 269541,\n            'f': \"269541\",\n        },\n{\n            'v': 134872,\n            'f': \"134872\",\n        },\n\"Zhuang Xiaoyan\",\n\"F\",\n{\n            'v': 23.0,\n            'f': 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    'v': 135503,\n            'f': \"135503\",\n        },\n\"Zurab Zviadauri\",\n\"M\",\n{\n            'v': 23.0,\n            'f': \"23.0\",\n        },\n{\n            'v': 182.0,\n            'f': \"182.0\",\n        },\n{\n            'v': 90.0,\n            'f': \"90.0\",\n        },\n\"Georgia\",\n\"GEO\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Judo\",\n\"Judo Men's Middleweight\",\n\"Gold\"]],\n        columns: [[\"number\", \"index\"], [\"number\", \"ID\"], [\"string\", \"Name\"], [\"string\", \"Sex\"], [\"number\", \"Age\"], [\"number\", \"Height\"], [\"number\", \"Weight\"], [\"string\", \"Team\"], [\"string\", \"NOC\"], [\"string\", \"Games\"], [\"number\", \"Year\"], [\"string\", \"Season\"], [\"string\", \"City\"], [\"string\", \"Sport\"], [\"string\", \"Event\"], [\"string\", \"Medal\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n  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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>Height</th>\n",
              "      <th>Weight</th>\n",
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              "      <th>Games</th>\n",
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              "      <th>Season</th>\n",
              "      <th>City</th>\n",
              "      <th>Sport</th>\n",
              "      <th>Event</th>\n",
              "      <th>Medal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4556</th>\n",
              "      <td>2589</td>\n",
              "      <td>Marc Robert Alexandre</td>\n",
              "      <td>M</td>\n",
              "      <td>28.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>France</td>\n",
              "      <td>FRA</td>\n",
              "      <td>1988 Summer</td>\n",
              "      <td>1988</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Seoul</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Lightweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6364</th>\n",
              "      <td>3567</td>\n",
              "      <td>An Byeong-Geun</td>\n",
              "      <td>M</td>\n",
              "      <td>22.0</td>\n",
              "      <td>172.0</td>\n",
              "      <td>78.0</td>\n",
              "      <td>South Korea</td>\n",
              "      <td>KOR</td>\n",
              "      <td>1984 Summer</td>\n",
              "      <td>1984</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Los Angeles</td>\n",
              "      <td>Judo</td>\n",
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              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6398</th>\n",
              "      <td>3593</td>\n",
              "      <td>An Kum-Ae</td>\n",
              "      <td>F</td>\n",
              "      <td>32.0</td>\n",
              "      <td>160.0</td>\n",
              "      <td>52.0</td>\n",
              "      <td>North Korea</td>\n",
              "      <td>PRK</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Half-Lightweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6557</th>\n",
              "      <td>3672</td>\n",
              "      <td>milie Andol</td>\n",
              "      <td>F</td>\n",
              "      <td>28.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>97.0</td>\n",
              "      <td>France</td>\n",
              "      <td>FRA</td>\n",
              "      <td>2016 Summer</td>\n",
              "      <td>2016</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Rio de Janeiro</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Heavyweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8014</th>\n",
              "      <td>4435</td>\n",
              "      <td>Noriko Anno</td>\n",
              "      <td>F</td>\n",
              "      <td>28.0</td>\n",
              "      <td>162.0</td>\n",
              "      <td>76.0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>JPN</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Half-Heavyweight</td>\n",
              "      <td>Gold</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>266081</th>\n",
              "      <td>133119</td>\n",
              "      <td>Hidehiko Yoshida</td>\n",
              "      <td>M</td>\n",
              "      <td>22.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>JPN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Half-Middleweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>266658</th>\n",
              "      <td>133396</td>\n",
              "      <td>Yuan Hua</td>\n",
              "      <td>F</td>\n",
              "      <td>26.0</td>\n",
              "      <td>172.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>2000 Summer</td>\n",
              "      <td>2000</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Sydney</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Heavyweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>269541</th>\n",
              "      <td>134872</td>\n",
              "      <td>Zhuang Xiaoyan</td>\n",
              "      <td>F</td>\n",
              "      <td>23.0</td>\n",
              "      <td>173.0</td>\n",
              "      <td>98.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Heavyweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270306</th>\n",
              "      <td>135219</td>\n",
              "      <td>Urka olnir</td>\n",
              "      <td>F</td>\n",
              "      <td>30.0</td>\n",
              "      <td>173.0</td>\n",
              "      <td>64.0</td>\n",
              "      <td>Slovenia</td>\n",
              "      <td>SLO</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Half-Middleweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270981</th>\n",
              "      <td>135503</td>\n",
              "      <td>Zurab Zviadauri</td>\n",
              "      <td>M</td>\n",
              "      <td>23.0</td>\n",
              "      <td>182.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>Georgia</td>\n",
              "      <td>GEO</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Middleweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>137 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            ID                   Name  ...                           Event  Medal\n",
              "4556      2589  Marc Robert Alexandre  ...          Judo Men's Lightweight   Gold\n",
              "6364      3567         An Byeong-Geun  ...          Judo Men's Lightweight   Gold\n",
              "6398      3593              An Kum-Ae  ...   Judo Women's Half-Lightweight   Gold\n",
              "6557      3672            milie Andol  ...        Judo Women's Heavyweight   Gold\n",
              "8014      4435            Noriko Anno  ...   Judo Women's Half-Heavyweight   Gold\n",
              "...        ...                    ...  ...                             ...    ...\n",
              "266081  133119       Hidehiko Yoshida  ...    Judo Men's Half-Middleweight   Gold\n",
              "266658  133396               Yuan Hua  ...        Judo Women's Heavyweight   Gold\n",
              "269541  134872         Zhuang Xiaoyan  ...        Judo Women's Heavyweight   Gold\n",
              "270306  135219             Urka olnir  ...  Judo Women's Half-Middleweight   Gold\n",
              "270981  135503        Zurab Zviadauri  ...         Judo Men's Middleweight   Gold\n",
              "\n",
              "[137 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "id": "BVbwaF8sHk8i",
        "outputId": "17f50528-39e0-4a8f-9310-3478880451b1"
      },
      "source": [
        "df.query('(Sport==\"Judo\") and (Medal==\"Gold\")')"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 4556,\n            'f': \"4556\",\n        },\n{\n            'v': 2589,\n            'f': \"2589\",\n        },\n\"Marc Robert Alexandre\",\n\"M\",\n{\n            'v': 28.0,\n            'f': \"28.0\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 73.0,\n            'f': \"73.0\",\n        },\n\"France\",\n\"FRA\",\n\"1988 Summer\",\n{\n            'v': 1988,\n            'f': \"1988\",\n        },\n\"Summer\",\n\"Seoul\",\n\"Judo\",\n\"Judo Men's Lightweight\",\n\"Gold\"],\n [{\n            'v': 6364,\n            'f': \"6364\",\n        },\n{\n            'v': 3567,\n            'f': \"3567\",\n        },\n\"An Byeong-Geun\",\n\"M\",\n{\n            'v': 22.0,\n            'f': \"22.0\",\n   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              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
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              "    <tr>\n",
              "      <th>4556</th>\n",
              "      <td>2589</td>\n",
              "      <td>Marc Robert Alexandre</td>\n",
              "      <td>M</td>\n",
              "      <td>28.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>73.0</td>\n",
              "      <td>France</td>\n",
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              "      <td>1988 Summer</td>\n",
              "      <td>1988</td>\n",
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              "      <th>6364</th>\n",
              "      <td>3567</td>\n",
              "      <td>An Byeong-Geun</td>\n",
              "      <td>M</td>\n",
              "      <td>22.0</td>\n",
              "      <td>172.0</td>\n",
              "      <td>78.0</td>\n",
              "      <td>South Korea</td>\n",
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              "      <td>1984 Summer</td>\n",
              "      <td>1984</td>\n",
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              "      <th>6398</th>\n",
              "      <td>3593</td>\n",
              "      <td>An Kum-Ae</td>\n",
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              "      <td>160.0</td>\n",
              "      <td>52.0</td>\n",
              "      <td>North Korea</td>\n",
              "      <td>PRK</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
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              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
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              "      <th>6557</th>\n",
              "      <td>3672</td>\n",
              "      <td>milie Andol</td>\n",
              "      <td>F</td>\n",
              "      <td>28.0</td>\n",
              "      <td>170.0</td>\n",
              "      <td>97.0</td>\n",
              "      <td>France</td>\n",
              "      <td>FRA</td>\n",
              "      <td>2016 Summer</td>\n",
              "      <td>2016</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Rio de Janeiro</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Heavyweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8014</th>\n",
              "      <td>4435</td>\n",
              "      <td>Noriko Anno</td>\n",
              "      <td>F</td>\n",
              "      <td>28.0</td>\n",
              "      <td>162.0</td>\n",
              "      <td>76.0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>JPN</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Half-Heavyweight</td>\n",
              "      <td>Gold</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>266081</th>\n",
              "      <td>133119</td>\n",
              "      <td>Hidehiko Yoshida</td>\n",
              "      <td>M</td>\n",
              "      <td>22.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>Japan</td>\n",
              "      <td>JPN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Half-Middleweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>266658</th>\n",
              "      <td>133396</td>\n",
              "      <td>Yuan Hua</td>\n",
              "      <td>F</td>\n",
              "      <td>26.0</td>\n",
              "      <td>172.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>2000 Summer</td>\n",
              "      <td>2000</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Sydney</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Heavyweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>269541</th>\n",
              "      <td>134872</td>\n",
              "      <td>Zhuang Xiaoyan</td>\n",
              "      <td>F</td>\n",
              "      <td>23.0</td>\n",
              "      <td>173.0</td>\n",
              "      <td>98.0</td>\n",
              "      <td>China</td>\n",
              "      <td>CHN</td>\n",
              "      <td>1992 Summer</td>\n",
              "      <td>1992</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Barcelona</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Heavyweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270306</th>\n",
              "      <td>135219</td>\n",
              "      <td>Urka olnir</td>\n",
              "      <td>F</td>\n",
              "      <td>30.0</td>\n",
              "      <td>173.0</td>\n",
              "      <td>64.0</td>\n",
              "      <td>Slovenia</td>\n",
              "      <td>SLO</td>\n",
              "      <td>2012 Summer</td>\n",
              "      <td>2012</td>\n",
              "      <td>Summer</td>\n",
              "      <td>London</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Women's Half-Middleweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270981</th>\n",
              "      <td>135503</td>\n",
              "      <td>Zurab Zviadauri</td>\n",
              "      <td>M</td>\n",
              "      <td>23.0</td>\n",
              "      <td>182.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>Georgia</td>\n",
              "      <td>GEO</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Judo</td>\n",
              "      <td>Judo Men's Middleweight</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>137 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            ID                   Name  ...                           Event  Medal\n",
              "4556      2589  Marc Robert Alexandre  ...          Judo Men's Lightweight   Gold\n",
              "6364      3567         An Byeong-Geun  ...          Judo Men's Lightweight   Gold\n",
              "6398      3593              An Kum-Ae  ...   Judo Women's Half-Lightweight   Gold\n",
              "6557      3672            milie Andol  ...        Judo Women's Heavyweight   Gold\n",
              "8014      4435            Noriko Anno  ...   Judo Women's Half-Heavyweight   Gold\n",
              "...        ...                    ...  ...                             ...    ...\n",
              "266081  133119       Hidehiko Yoshida  ...    Judo Men's Half-Middleweight   Gold\n",
              "266658  133396               Yuan Hua  ...        Judo Women's Heavyweight   Gold\n",
              "269541  134872         Zhuang Xiaoyan  ...        Judo Women's Heavyweight   Gold\n",
              "270306  135219             Urka olnir  ...  Judo Women's Half-Middleweight   Gold\n",
              "270981  135503        Zurab Zviadauri  ...         Judo Men's Middleweight   Gold\n",
              "\n",
              "[137 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ab5tGl_GvYCW"
      },
      "source": [
        "**Q5:** Display all the athletes that compete with the GRE in 2004"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9xYn7QScvxnn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "outputId": "c827d8de-b08a-4324-9ebd-e32dfc76c972"
      },
      "source": [
        "df.loc[(df.Year==2004)&(df.NOC==\"GRE\")]"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 177,\n            'f': \"177\",\n        },\n{\n            'v': 75,\n            'f': \"75\",\n        },\n\"Giorgos Abalof\",\n\"M\",\n{\n            'v': 22.0,\n            'f': \"22.0\",\n        },\n{\n            'v': 178.0,\n            'f': \"178.0\",\n        },\n{\n            'v': 70.0,\n            'f': \"70.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Fencing\",\n\"Fencing Men's epee, Individual\",\nNaN],\n [{\n            'v': 183,\n            'f': \"183\",\n        },\n{\n            'v': 81,\n            'f': \"81\",\n        },\n\"Georgios Abaris\",\n\"M\",\n{\n            'v': 22.0,\n            'f': \"22.0\",\n        },\n{\n            'v': 190.0,\n            'f': \"190.0\",\n        },\n{\n            'v': 77.0,\n            'f': \"77.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Football\",\n\"Football Men's Football\",\nNaN],\n [{\n            'v': 202,\n            'f': \"202\",\n        },\n{\n            'v': 95,\n            'f': \"95\",\n        },\n\"Georgia Abatzidou\",\n\"F\",\n{\n            'v': 35.0,\n            'f': \"35.0\",\n        },\n{\n            'v': 155.0,\n            'f': \"155.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Athletics\",\n\"Athletics Women's Marathon\",\nNaN],\n [{\n            'v': 1982,\n            'f': \"1982\",\n        },\n{\n            'v': 1097,\n            'f': \"1097\",\n        },\n\"Georgios Afroudakis\",\n\"M\",\n{\n            'v': 27.0,\n            'f': \"27.0\",\n        },\n{\n            'v': 194.0,\n            'f': \"194.0\",\n        },\n{\n            'v': 103.0,\n            'f': \"103.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Water Polo\",\n\"Water Polo Men's Water Polo\",\nNaN],\n [{\n            'v': 1985,\n            'f': \"1985\",\n        },\n{\n            'v': 1098,\n            'f': \"1098\",\n        },\n\"Khristos Afroudakis\",\n\"M\",\n{\n            'v': 20.0,\n            'f': \"20.0\",\n        },\n{\n            'v': 188.0,\n            'f': \"188.0\",\n        },\n{\n            'v': 88.0,\n            'f': \"88.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Water Polo\",\n\"Water Polo Men's Water Polo\",\nNaN],\n [{\n            'v': 3092,\n            'f': \"3092\",\n        },\n{\n            'v': 1728,\n            'f': \"1728\",\n        },\n\"Varvara Akritidou\",\n\"F\",\n{\n            'v': 23.0,\n            'f': \"23.0\",\n        },\n{\n            'v': 173.0,\n            'f': \"173.0\",\n        },\n{\n            'v': 78.0,\n            'f': \"78.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Judo\",\n\"Judo Women's Half-Heavyweight\",\nNaN],\n [{\n            'v': 4570,\n            'f': \"4570\",\n        },\n{\n            'v': 2598,\n            'f': \"2598\",\n        },\n\"Lavrentis Alexanidis\",\n\"M\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 171.0,\n            'f': \"171.0\",\n        },\n{\n            'v': 65.0,\n            'f': \"65.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Judo\",\n\"Judo Men's Lightweight\",\nNaN],\n [{\n            'v': 4578,\n            'f': \"4578\",\n        },\n{\n            'v': 2603,\n            'f': \"2603\",\n        },\n\"Athina-Theodora Alexopoulou\",\n\"F\",\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 163.0,\n            'f': \"163.0\",\n        },\n{\n            'v': 63.0,\n            'f': \"63.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Canoeing\",\n\"Canoeing Women's Kayak Singles, 500 metres\",\nNaN],\n [{\n            'v': 5529,\n            'f': \"5529\",\n        },\n{\n            'v': 3128,\n            'f': \"3128\",\n        },\n\"Alexandros \\\"Alexios\\\" Alvanos\",\n\"M\",\n{\n            'v': 24.0,\n            'f': \"24.0\",\n        },\n{\n            'v': 197.0,\n            'f': \"197.0\",\n        },\n{\n            'v': 88.0,\n            'f': \"88.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Handball\",\n\"Handball Men's Handball\",\nNaN],\n [{\n            'v': 5709,\n            'f': \"5709\",\n        },\n{\n            'v': 3216,\n            'f': \"3216\",\n        },\n\"Frangiskos \\\"Frankie\\\" Alvertis\",\n\"M\",\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        },\n{\n            'v': 204.0,\n            'f': \"204.0\",\n        },\n{\n            'v': 98.0,\n            'f': \"98.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Basketball\",\n\"Basketball Men's Basketball\",\nNaN],\n [{\n            'v': 5764,\n            'f': \"5764\",\n        },\n{\n            'v': 3247,\n            'f': \"3247\",\n        },\n\"Romanos Iasonas Alyfantis\",\n\"M\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 183.0,\n            'f': \"183.0\",\n        },\n{\n            'v': 73.0,\n            'f': \"73.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Swimming\",\n\"Swimming Men's 200 metres Breaststroke\",\nNaN],\n [{\n            'v': 6512,\n            'f': \"6512\",\n        },\n{\n            'v': 3648,\n            'f': \"3648\",\n        },\n\"Savina Aglaia Anastasiou\",\n\"F\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 164.0,\n            'f': \"164.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Synchronized 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\"49.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Swimming\",\n\"Swimming Women's 200 metres Butterfly\",\nNaN],\n [{\n            'v': 7714,\n            'f': \"7714\",\n        },\n{\n            'v': 4295,\n            'f': \"4295\",\n        },\n\"Vasiliki Angelopoulou\",\n\"F\",\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 159.0,\n            'f': \"159.0\",\n        },\n{\n            'v': 49.0,\n            'f': \"49.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Swimming\",\n\"Swimming Women's 400 metres Individual Medley\",\nNaN],\n [{\n            'v': 8198,\n            'f': \"8198\",\n        },\n{\n            'v': 4522,\n            'f': \"4522\",\n        },\n\"Mikaela Khaidi \\\"Heidi\\\" Antikatzidis\",\n\"F\",\n{\n            'v': 27.0,\n            'f': \"27.0\",\n        },\n{\n            'v': 153.0,\n            'f': \"153.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Equestrianism\",\n\"Equestrianism Mixed Three-Day Event, Individual\",\nNaN],\n [{\n            'v': 8267,\n            'f': \"8267\",\n        },\n{\n            'v': 4558,\n            'f': \"4558\",\n        },\n\"Nikolaos \\\"Nikos\\\" Antoniadis\",\n\"M\",\n{\n            'v': 33.0,\n            'f': \"33.0\",\n        },\n{\n            'v': 172.0,\n            'f': \"172.0\",\n        },\n{\n            'v': 80.0,\n            'f': \"80.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Shooting\",\n\"Shooting Men's Trap\",\nNaN],\n [{\n            'v': 8297,\n            'f': \"8297\",\n        },\n{\n            'v': 4572,\n            'f': \"4572\",\n        },\n\"Apostolos Antonopoulos\",\n\"M\",\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 191.0,\n            'f': \"191.0\",\n        },\n{\n            'v': 86.0,\n            'f': \"86.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Swimming\",\n\"Swimming Men's 4 x 200 metres Freestyle Relay\",\nNaN],\n [{\n            'v': 8563,\n            'f': \"8563\",\n        },\n{\n            'v': 4706,\n            'f': \"4706\",\n        },\n\"Maria Apostolidi\",\n\"F\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 150.0,\n            'f': \"150.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 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150.0,\n            'f': \"150.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Gymnastics\",\n\"Gymnastics Women's Horse Vault\",\nNaN],\n [{\n            'v': 8566,\n            'f': \"8566\",\n        },\n{\n            'v': 4706,\n            'f': \"4706\",\n        },\n\"Maria Apostolidi\",\n\"F\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 150.0,\n            'f': \"150.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Gymnastics\",\n\"Gymnastics Women's Uneven Bars\",\nNaN],\n [{\n            'v': 8567,\n            'f': \"8567\",\n        },\n{\n            'v': 4706,\n            'f': \"4706\",\n 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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>75</td>\n",
              "      <td>Giorgos Abalof</td>\n",
              "      <td>M</td>\n",
              "      <td>22.0</td>\n",
              "      <td>178.0</td>\n",
              "      <td>70.0</td>\n",
              "      <td>Greece</td>\n",
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              "      <td>Athina</td>\n",
              "      <td>Fencing</td>\n",
              "      <td>Fencing Men's epee, Individual</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>81</td>\n",
              "      <td>Georgios Abaris</td>\n",
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              "      <td>22.0</td>\n",
              "      <td>190.0</td>\n",
              "      <td>77.0</td>\n",
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              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>95</td>\n",
              "      <td>Georgia Abatzidou</td>\n",
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              "      <td>35.0</td>\n",
              "      <td>155.0</td>\n",
              "      <td>43.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
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              "      <td>2004</td>\n",
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              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1982</th>\n",
              "      <td>1097</td>\n",
              "      <td>Georgios Afroudakis</td>\n",
              "      <td>M</td>\n",
              "      <td>27.0</td>\n",
              "      <td>194.0</td>\n",
              "      <td>103.0</td>\n",
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              "      <td>Athina</td>\n",
              "      <td>Water Polo</td>\n",
              "      <td>Water Polo Men's Water Polo</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1985</th>\n",
              "      <td>1098</td>\n",
              "      <td>Khristos Afroudakis</td>\n",
              "      <td>M</td>\n",
              "      <td>20.0</td>\n",
              "      <td>188.0</td>\n",
              "      <td>88.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
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              "      <td>Athina</td>\n",
              "      <td>Water Polo</td>\n",
              "      <td>Water Polo Men's Water Polo</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270073</th>\n",
              "      <td>135111</td>\n",
              "      <td>Andreas Zisimos</td>\n",
              "      <td>M</td>\n",
              "      <td>20.0</td>\n",
              "      <td>185.0</td>\n",
              "      <td>65.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Swimming</td>\n",
              "      <td>Swimming Men's 4 x 100 metres Freestyle Relay</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270074</th>\n",
              "      <td>135111</td>\n",
              "      <td>Andreas Zisimos</td>\n",
              "      <td>M</td>\n",
              "      <td>20.0</td>\n",
              "      <td>185.0</td>\n",
              "      <td>65.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Swimming</td>\n",
              "      <td>Swimming Men's 4 x 200 metres Freestyle Relay</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270081</th>\n",
              "      <td>135113</td>\n",
              "      <td>Nikolaos \"Nikos\" Zisis</td>\n",
              "      <td>M</td>\n",
              "      <td>20.0</td>\n",
              "      <td>195.0</td>\n",
              "      <td>90.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Basketball</td>\n",
              "      <td>Basketball Men's Basketball</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270117</th>\n",
              "      <td>135136</td>\n",
              "      <td>Sasa Zivoulovic</td>\n",
              "      <td>M</td>\n",
              "      <td>32.0</td>\n",
              "      <td>187.0</td>\n",
              "      <td>86.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Handball</td>\n",
              "      <td>Handball Men's Handball</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>271099</th>\n",
              "      <td>135560</td>\n",
              "      <td>Stavroula Zygouri</td>\n",
              "      <td>F</td>\n",
              "      <td>36.0</td>\n",
              "      <td>171.0</td>\n",
              "      <td>63.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>2004 Summer</td>\n",
              "      <td>2004</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Wrestling</td>\n",
              "      <td>Wrestling Women's Middleweight, Freestyle</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>499 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            ID  ... Medal\n",
              "177         75  ...   NaN\n",
              "183         81  ...   NaN\n",
              "202         95  ...   NaN\n",
              "1982      1097  ...   NaN\n",
              "1985      1098  ...   NaN\n",
              "...        ...  ...   ...\n",
              "270073  135111  ...   NaN\n",
              "270074  135111  ...   NaN\n",
              "270081  135113  ...   NaN\n",
              "270117  135136  ...   NaN\n",
              "271099  135560  ...   NaN\n",
              "\n",
              "[499 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SE53uHDHvXyw"
      },
      "source": [
        "**Q6:** Display all the gold medals GRE has ever won"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EKBeYCgbvyGC",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "outputId": "644fba69-62e5-4a55-8ac5-47350fa99194"
      },
      "source": [
        "df.loc[(df.NOC==\"GRE\") & (~df['Medal'].isna())]"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 268,\n            'f': \"268\",\n        },\n{\n            'v': 139,\n            'f': \"139\",\n        },\n\"George \\\"Ioannis\\\" Abbot\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Thessalonki-1\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Football\",\n\"Football Men's Football\",\n\"Bronze\"],\n [{\n            'v': 2170,\n            'f': \"2170\",\n        },\n{\n            'v': 1208,\n            'f': \"1208\",\n        },\n\"Ioannis Agrimis\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Large boat, Central Naval Prep School \\\"Poros\\\"-1\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Rowing\",\n\"Rowing Men's 17-Man Naval Rowing Boats\",\n\"Gold\"],\n [{\n            'v': 2787,\n            'f': \"2787\",\n        },\n{\n            'v': 1546,\n            'f': \"1546\",\n        },\n\"Eirini Andili\",\n\"F\",\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 167.0,\n            'f': \"167.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2000 Summer\",\n{\n            'v': 2000,\n            'f': \"2000\",\n        },\n\"Summer\",\n\"Sydney\",\n\"Rhythmic Gymnastics\",\n\"Rhythmic Gymnastics Women's Group\",\n\"Bronze\"],\n [{\n            'v': 4821,\n            'f': \"4821\",\n        },\n{\n            'v': 2756,\n            'f': \"2756\",\n        },\n\"Georgios Aliprantis\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Gymnastics\",\n\"Gymnastics Men's Rope Climbing\",\n\"Gold\"],\n [{\n            'v': 7353,\n            'f': \"7353\",\n        },\n{\n            'v': 4116,\n            'f': \"4116\",\n        },\n\"Ioannis Andreou\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece\",\n\"GRE\",\n\"1896 Summer\",\n{\n            'v': 1896,\n            'f': \"1896\",\n        },\n\"Summer\",\n\"Athina\",\n\"Swimming\",\n\"Swimming Men's 1,200 metres Freestyle\",\n\"Silver\"],\n [{\n            'v': 7498,\n            'f': \"7498\",\n        },\n{\n            'v': 4189,\n            'f': \"4189\",\n        },\n\"Nikolaos Andriakopoulos\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece\",\n\"GRE\",\n\"1896 Summer\",\n{\n            'v': 1896,\n            'f': \"1896\",\n        },\n\"Summer\",\n\"Athina\",\n\"Gymnastics\",\n\"Gymnastics Men's Rope Climbing\",\n\"Gold\"],\n [{\n            'v': 10222,\n            'f': \"10222\",\n        },\n{\n            'v': 5588,\n            'f': \"5588\",\n        },\n\"Dimitra Asilian\",\n\"F\",\n{\n            'v': 32.0,\n            'f': \"32.0\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 60.0,\n            'f': \"60.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Water Polo\",\n\"Water Polo Women's Water Polo\",\n\"Silver\"],\n [{\n            'v': 13033,\n            'f': \"13033\",\n        },\n{\n            'v': 7088,\n            'f': \"7088\",\n        },\n\"Niki Bakogianni\",\n\"F\",\n{\n            'v': 28.0,\n            'f': \"28.0\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"1996 Summer\",\n{\n            'v': 1996,\n            'f': \"1996\",\n        },\n\"Summer\",\n\"Atlanta\",\n\"Athletics\",\n\"Athletics Women's High Jump\",\n\"Silver\"],\n [{\n            'v': 13518,\n            'f': \"13518\",\n        },\n{\n            'v': 7335,\n            'f': \"7335\",\n        },\n\"Ioannis Ballis\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece-1\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Tennis\",\n\"Tennis Men's Doubles\",\n\"Silver\"],\n [{\n            'v': 13636,\n            'f': \"13636\",\n        },\n{\n            'v': 7377,\n            'f': \"7377\",\n        },\n\"Demetrios Balourdos\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Life boat naval ship \\\"Spetsai\\\"-1\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Rowing\",\n\"Rowing Men's 6-Man Naval Rowing Boats\",\n\"Silver\"],\n [{\n            'v': 17837,\n            'f': \"17837\",\n        },\n{\n            'v': 9479,\n            'f': \"9479\",\n        },\n\"Sofia Bekatorou (-Kosmatopoulos)\",\n\"F\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 172.0,\n            'f': \"172.0\",\n        },\n{\n            'v': 62.0,\n            'f': \"62.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Sailing\",\n\"Sailing Women's Two Person Dinghy\",\n\"Gold\"],\n [{\n            'v': 17838,\n            'f': \"17838\",\n        },\n{\n            'v': 9479,\n            'f': \"9479\",\n        },\n\"Sofia Bekatorou (-Kosmatopoulos)\",\n\"F\",\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        },\n{\n            'v': 172.0,\n            'f': \"172.0\",\n        },\n{\n            'v': 62.0,\n            'f': \"62.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2008 Summer\",\n{\n            'v': 2008,\n            'f': \"2008\",\n        },\n\"Summer\",\n\"Beijing\",\n\"Sailing\",\n\"Sailing Women's Three Person Keelboat\",\n\"Bronze\"],\n [{\n            'v': 21923,\n            'f': \"21923\",\n        },\n{\n            'v': 11559,\n            'f': \"11559\",\n        },\n\"Thomas Bimis\",\n\"M\",\n{\n            'v': 29.0,\n            'f': \"29.0\",\n        },\n{\n            'v': 169.0,\n            'f': \"169.0\",\n        },\n{\n            'v': 69.0,\n            'f': \"69.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Diving\",\n\"Diving Men's Synchronized Springboard\",\n\"Gold\"],\n [{\n            'v': 27047,\n            'f': \"27047\",\n        },\n{\n            'v': 14076,\n            'f': \"14076\",\n        },\n\"Anastasios \\\"Tasos\\\" Bountouris\",\n\"M\",\n{\n            'v': 24.0,\n            'f': \"24.0\",\n        },\n{\n            'v': 186.0,\n            'f': \"186.0\",\n        },\n{\n            'v': 103.0,\n            'f': \"103.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"1980 Summer\",\n{\n            'v': 1980,\n            'f': \"1980\",\n        },\n\"Summer\",\n\"Moskva\",\n\"Sailing\",\n\"Sailing Mixed Three Person Keelboat\",\n\"Bronze\"],\n [{\n            'v': 36531,\n            'f': \"36531\",\n        },\n{\n            'v': 18785,\n            'f': \"18785\",\n        },\n\"Demetrius Emmanuel Casdagli\",\n\"M\",\n{\n            'v': 23.0,\n            'f': \"23.0\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece\",\n\"GRE\",\n\"1896 Summer\",\n{\n            'v': 1896,\n            'f': \"1896\",\n        },\n\"Summer\",\n\"Athina\",\n\"Tennis\",\n\"Tennis Men's Singles\",\n\"Silver\"],\n [{\n            'v': 36532,\n            'f': \"36532\",\n        },\n{\n            'v': 18785,\n            'f': \"18785\",\n        },\n\"Demetrius Emmanuel Casdagli\",\n\"M\",\n{\n            'v': 23.0,\n            'f': \"23.0\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece-1\",\n\"GRE\",\n\"1896 Summer\",\n{\n            'v': 1896,\n            'f': \"1896\",\n        },\n\"Summer\",\n\"Athina\",\n\"Tennis\",\n\"Tennis Men's Doubles\",\n\"Silver\"],\n [{\n            'v': 36535,\n            'f': \"36535\",\n        },\n{\n            'v': 18786,\n            'f': \"18786\",\n        },\n\"Xenophon Emmanuel Casdagli\",\n\"M\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece-2\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Tennis\",\n\"Tennis Mixed Doubles\",\n\"Bronze\"],\n [{\n            'v': 36536,\n            'f': \"36536\",\n        },\n{\n            'v': 18786,\n            'f': \"18786\",\n        },\n\"Xenophon Emmanuel Casdagli\",\n\"M\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece-1\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Tennis\",\n\"Tennis Men's Doubles\",\n\"Silver\"],\n [{\n            'v': 48351,\n            'f': \"48351\",\n        },\n{\n            'v': 24933,\n            'f': \"24933\",\n        },\n\"Demetrios Dais\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Life boat naval ship \\\"Spetsai\\\"-1\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Rowing\",\n\"Rowing Men's 6-Man Naval Rowing Boats\",\n\"Silver\"],\n [{\n            'v': 48644,\n            'f': \"48644\",\n        },\n{\n            'v': 25072,\n            'f': \"25072\",\n        },\n\"Evangelos Damaskos\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece\",\n\"GRE\",\n\"1896 Summer\",\n{\n            'v': 1896,\n            'f': \"1896\",\n        },\n\"Summer\",\n\"Athina\",\n\"Athletics\",\n\"Athletics Men's Pole Vault\",\n\"Bronze\"],\n [{\n            'v': 52710,\n            'f': \"52710\",\n        },\n{\n            'v': 27070,\n            'f': \"27070\",\n        },\n\"Nikolaos Dekavalas\",\n\"M\",\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Life boat naval ship \\\"Spetsai\\\"-1\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Rowing\",\n\"Rowing Men's 6-Man Naval Rowing Boats\",\n\"Silver\"],\n [{\n            'v': 54478,\n            'f': \"54478\",\n        },\n{\n            'v': 27941,\n            'f': \"27941\",\n        },\n\"Khrysopigi \\\"Pigi\\\" Devetzi\",\n\"F\",\n{\n            'v': 28.0,\n            'f': \"28.0\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 59.0,\n            'f': \"59.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2004 Summer\",\n{\n            'v': 2004,\n            'f': \"2004\",\n        },\n\"Summer\",\n\"Athina\",\n\"Athletics\",\n\"Athletics Women's Triple Jump\",\n\"Silver\"],\n [{\n            'v': 54480,\n            'f': \"54480\",\n        },\n{\n            'v': 27941,\n            'f': \"27941\",\n        },\n\"Khrysopigi \\\"Pigi\\\" Devetzi\",\n\"F\",\n{\n            'v': 32.0,\n            'f': \"32.0\",\n        },\n{\n            'v': 170.0,\n            'f': \"170.0\",\n        },\n{\n            'v': 59.0,\n            'f': \"59.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"2008 Summer\",\n{\n            'v': 2008,\n            'f': \"2008\",\n        },\n\"Summer\",\n\"Beijing\",\n\"Athletics\",\n\"Athletics Women's Triple Jump\",\n\"Bronze\"],\n [{\n            'v': 54927,\n            'f': \"54927\",\n        },\n{\n            'v': 28145,\n            'f': \"28145\",\n        },\n\"Themistoklis Diakidis\",\n\"M\",\n{\n            'v': 23.0,\n            'f': \"23.0\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n{\n            'v': NaN,\n            'f': \"NaN\",\n        },\n\"Greece\",\n\"GRE\",\n\"1906 Summer\",\n{\n            'v': 1906,\n            'f': \"1906\",\n        },\n\"Summer\",\n\"Athina\",\n\"Athletics\",\n\"Athletics Men's High Jump\",\n\"Bronze\"],\n [{\n            'v': 55726,\n            'f': \"55726\",\n        },\n{\n            'v': 28558,\n            'f': \"28558\",\n        },\n\"Pyrros Dimas\",\n\"M\",\n{\n            'v': 20.0,\n            'f': \"20.0\",\n        },\n{\n            'v': 173.0,\n            'f': \"173.0\",\n        },\n{\n            'v': 83.0,\n            'f': \"83.0\",\n        },\n\"Greece\",\n\"GRE\",\n\"1992 Summer\",\n{\n            'v': 1992,\n            'f': \"1992\",\n        },\n\"Summer\",\n\"Barcelona\",\n\"Weightlifting\",\n\"Weightlifting Men's Light-Heavyweight\",\n\"Gold\"],\n [{\n            'v': 55727,\n            'f': \"55727\",\n        },\n{\n            'v': 28558,\n            'f': \"28558\",\n        },\n\"Pyrros 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              "      <th>268</th>\n",
              "      <td>139</td>\n",
              "      <td>George \"Ioannis\" Abbot</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>2170</th>\n",
              "      <td>1208</td>\n",
              "      <td>Ioannis Agrimis</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Large boat, Central Naval Prep School \"Poros\"-1</td>\n",
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              "      <td>Gold</td>\n",
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              "      <th>2787</th>\n",
              "      <td>1546</td>\n",
              "      <td>Eirini Andili</td>\n",
              "      <td>F</td>\n",
              "      <td>17.0</td>\n",
              "      <td>167.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>2000 Summer</td>\n",
              "      <td>2000</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Sydney</td>\n",
              "      <td>Rhythmic Gymnastics</td>\n",
              "      <td>Rhythmic Gymnastics Women's Group</td>\n",
              "      <td>Bronze</td>\n",
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              "      <th>4821</th>\n",
              "      <td>2756</td>\n",
              "      <td>Georgios Aliprantis</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>1906</td>\n",
              "      <td>Summer</td>\n",
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              "      <td>Gymnastics</td>\n",
              "      <td>Gymnastics Men's Rope Climbing</td>\n",
              "      <td>Gold</td>\n",
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              "      <th>7353</th>\n",
              "      <td>4116</td>\n",
              "      <td>Ioannis Andreou</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Greece</td>\n",
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              "      <td>1896 Summer</td>\n",
              "      <td>1896</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Swimming</td>\n",
              "      <td>Swimming Men's 1,200 metres Freestyle</td>\n",
              "      <td>Silver</td>\n",
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              "      <th>254918</th>\n",
              "      <td>127608</td>\n",
              "      <td>Alexandros Vrasivanopoulos</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>1920 Summer</td>\n",
              "      <td>1920</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Antwerpen</td>\n",
              "      <td>Shooting</td>\n",
              "      <td>Shooting Men's Military Pistol, Team</td>\n",
              "      <td>Silver</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>263742</th>\n",
              "      <td>131985</td>\n",
              "      <td>Thomas Xenakis</td>\n",
              "      <td>M</td>\n",
              "      <td>21.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>1896 Summer</td>\n",
              "      <td>1896</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Gymnastics</td>\n",
              "      <td>Gymnastics Men's Rope Climbing</td>\n",
              "      <td>Silver</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>267289</th>\n",
              "      <td>133721</td>\n",
              "      <td>Georgios Zaimis</td>\n",
              "      <td>M</td>\n",
              "      <td>23.0</td>\n",
              "      <td>174.0</td>\n",
              "      <td>67.0</td>\n",
              "      <td>Nirefs</td>\n",
              "      <td>GRE</td>\n",
              "      <td>1960 Summer</td>\n",
              "      <td>1960</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Roma</td>\n",
              "      <td>Sailing</td>\n",
              "      <td>Sailing Mixed Three Person Keelboat</td>\n",
              "      <td>Gold</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>267898</th>\n",
              "      <td>134035</td>\n",
              "      <td>Vasilios Zarkadis</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Thessalonki-1</td>\n",
              "      <td>GRE</td>\n",
              "      <td>1906 Summer</td>\n",
              "      <td>1906</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Football</td>\n",
              "      <td>Football Men's Football</td>\n",
              "      <td>Bronze</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270358</th>\n",
              "      <td>135239</td>\n",
              "      <td>Khristos Zorbas</td>\n",
              "      <td>M</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Greece</td>\n",
              "      <td>GRE</td>\n",
              "      <td>1906 Summer</td>\n",
              "      <td>1906</td>\n",
              "      <td>Summer</td>\n",
              "      <td>Athina</td>\n",
              "      <td>Fencing</td>\n",
              "      <td>Fencing Men's Sabre, Team</td>\n",
              "      <td>Silver</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>255 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            ID  ...   Medal\n",
              "268        139  ...  Bronze\n",
              "2170      1208  ...    Gold\n",
              "2787      1546  ...  Bronze\n",
              "4821      2756  ...    Gold\n",
              "7353      4116  ...  Silver\n",
              "...        ...  ...     ...\n",
              "254918  127608  ...  Silver\n",
              "263742  131985  ...  Silver\n",
              "267289  133721  ...    Gold\n",
              "267898  134035  ...  Bronze\n",
              "270358  135239  ...  Silver\n",
              "\n",
              "[255 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H_vDdmCRvXXE"
      },
      "source": [
        "**Q7:** Display all the athletes named \"Alexandros\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bDqhlgCbvytm"
      },
      "source": [
        "df.set_index('Name').filter(like='Alexandros',axis=0)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4GR2kSW6DzLq"
      },
      "source": [
        "**Q8:** What is the male/female ratio?"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ERuTK2vxDzLs",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "663e291e-2faf-4f6a-a2da-50e873ab7939"
      },
      "source": [
        "df.drop_duplicates(subset=\"ID\")['Sex'].value_counts()"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "M    101590\n",
              "F     33981\n",
              "Name: Sex, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hnGRk0yFKuH1",
        "outputId": "c93f4658-41bd-41dd-eab7-cacee094f539"
      },
      "source": [
        "df['Sex'].value_counts()"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "M    196594\n",
              "F     74522\n",
              "Name: Sex, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0BSWTAB8K_kb",
        "outputId": "eb4a934f-2c50-434f-e557-d6e9e59c2a79"
      },
      "source": [
        "df.query(\"Sex=='M'\").shape[0]/df.query(\"Sex=='F'\").shape[0]"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.638066611202061"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WsL_0V5qDzLs"
      },
      "source": [
        "**Q9:** Display the top 10 athletes in terms of medals"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wHY5vgSdDzLt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "outputId": "8d7dee9e-0197-49c4-9c0d-d4f56e2e4dcf"
      },
      "source": [
        "df.groupby(by=[\"ID\",\"Name\"])[\"Medal\"].count().reset_index().sort_values(by='Medal', ascending=False).head(10)"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[{\n            'v': 94405,\n            'f': \"94405\",\n        },\n{\n            'v': 94406,\n            'f': \"94406\",\n        },\n\"Michael Fred Phelps, II\",\n{\n            'v': 28,\n            'f': \"28\",\n        }],\n [{\n            'v': 67045,\n            'f': \"67045\",\n        },\n{\n            'v': 67046,\n            'f': \"67046\",\n        },\n\"Larysa Semenivna Latynina (Diriy-)\",\n{\n            'v': 18,\n            'f': \"18\",\n        }],\n [{\n            'v': 4197,\n            'f': \"4197\",\n        },\n{\n            'v': 4198,\n            'f': \"4198\",\n        },\n\"Nikolay Yefimovich Andrianov\",\n{\n            'v': 15,\n            'f': \"15\",\n        }],\n [{\n            'v': 89186,\n            'f': \"89186\",\n        },\n{\n            'v': 89187,\n            'f': \"89187\",\n        },\n\"Takashi Ono\",\n{\n            'v': 13,\n            'f': \"13\",\n        }],\n [{\n            'v': 11950,\n            'f': \"11950\",\n        },\n{\n            'v': 11951,\n            'f': \"11951\",\n        },\n\"Ole Einar Bjrndalen\",\n{\n            'v': 13,\n            'f': \"13\",\n        }],\n [{\n            'v': 74419,\n            'f': \"74419\",\n        },\n{\n            'v': 74420,\n            'f': \"74420\",\n        },\n\"Edoardo Mangiarotti\",\n{\n            'v': 13,\n            'f': \"13\",\n        }],\n [{\n            'v': 109160,\n            'f': \"109160\",\n        },\n{\n            'v': 109161,\n            'f': \"109161\",\n        },\n\"Borys Anfiyanovych Shakhlin\",\n{\n            'v': 13,\n            'f': \"13\",\n        }],\n [{\n            'v': 85285,\n            'f': \"85285\",\n        },\n{\n            'v': 85286,\n            'f': \"85286\",\n        },\n\"Aleksey Yuryevich Nemov\",\n{\n            'v': 12,\n            'f': \"12\",\n        }],\n [{\n            'v': 119921,\n            'f': \"119921\",\n        },\n{\n            'v': 119922,\n            'f': \"119922\",\n        },\n\"Jennifer Elisabeth \\\"Jenny\\\" Thompson (-Cumpelik)\",\n{\n            'v': 12,\n            'f': \"12\",\n        }],\n [{\n            'v': 87389,\n            'f': \"87389\",\n        },\n{\n            'v': 87390,\n            'f': \"87390\",\n        },\n\"Paavo Johannes Nurmi\",\n{\n            'v': 12,\n            'f': \"12\",\n        }]],\n        columns: [[\"number\", \"index\"], [\"number\", \"ID\"], [\"string\", \"Name\"], [\"number\", \"Medal\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID</th>\n",
              "      <th>Name</th>\n",
              "      <th>Medal</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>94405</th>\n",
              "      <td>94406</td>\n",
              "      <td>Michael Fred Phelps, II</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67045</th>\n",
              "      <td>67046</td>\n",
              "      <td>Larysa Semenivna Latynina (Diriy-)</td>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4197</th>\n",
              "      <td>4198</td>\n",
              "      <td>Nikolay Yefimovich Andrianov</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89186</th>\n",
              "      <td>89187</td>\n",
              "      <td>Takashi Ono</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11950</th>\n",
              "      <td>11951</td>\n",
              "      <td>Ole Einar Bjrndalen</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74419</th>\n",
              "      <td>74420</td>\n",
              "      <td>Edoardo Mangiarotti</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109160</th>\n",
              "      <td>109161</td>\n",
              "      <td>Borys Anfiyanovych Shakhlin</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85285</th>\n",
              "      <td>85286</td>\n",
              "      <td>Aleksey Yuryevich Nemov</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119921</th>\n",
              "      <td>119922</td>\n",
              "      <td>Jennifer Elisabeth \"Jenny\" Thompson (-Cumpelik)</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87389</th>\n",
              "      <td>87390</td>\n",
              "      <td>Paavo Johannes Nurmi</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            ID                                             Name  Medal\n",
              "94405    94406                          Michael Fred Phelps, II     28\n",
              "67045    67046               Larysa Semenivna Latynina (Diriy-)     18\n",
              "4197      4198                     Nikolay Yefimovich Andrianov     15\n",
              "89186    89187                                      Takashi Ono     13\n",
              "11950    11951                              Ole Einar Bjrndalen     13\n",
              "74419    74420                              Edoardo Mangiarotti     13\n",
              "109160  109161                      Borys Anfiyanovych Shakhlin     13\n",
              "85285    85286                          Aleksey Yuryevich Nemov     12\n",
              "119921  119922  Jennifer Elisabeth \"Jenny\" Thompson (-Cumpelik)     12\n",
              "87389    87390                             Paavo Johannes Nurmi     12"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8Nb4OSdnDzLt"
      },
      "source": [
        "**Q10:** Display the top 10 NOC in terms of gold medals"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QJ8-WcbeDzLu"
      },
      "source": [
        "df[df.Medal=='Gold'].groupby(by=['NOC'])['Medal'].count().reset_index().sort_values(by='Medal', ascending=False).head(10)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wE1Tagn6DzLu"
      },
      "source": [
        "**Q11:** Display the youngest and the oldest competitor in each sport"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6MwLrqb6DzLv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "outputId": "5a70760d-717a-4a02-96da-bb1ff5692286"
      },
      "source": [
        "df.groupby('Sport').agg(\r\n",
        "    Count=pd.NamedAgg(column='Year', aggfunc='count'),\r\n",
        "    min_Age=pd.NamedAgg(column='Age', aggfunc=min),\r\n",
        "    max_Age=pd.NamedAgg(column='Age', aggfunc=max)\r\n",
        ")"
      ],
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[\"Aeronautics\",\n{\n            'v': 1,\n            'f': \"1\",\n        },\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        }],\n [\"Alpine Skiing\",\n{\n            'v': 8829,\n            'f': \"8829\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 55.0,\n            'f': \"55.0\",\n        }],\n [\"Alpinism\",\n{\n            'v': 25,\n            'f': \"25\",\n        },\n{\n            'v': 22.0,\n            'f': \"22.0\",\n        },\n{\n            'v': 57.0,\n            'f': \"57.0\",\n        }],\n [\"Archery\",\n{\n            'v': 2334,\n            'f': \"2334\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 71.0,\n            'f': \"71.0\",\n        }],\n [\"Art Competitions\",\n{\n            'v': 3578,\n            'f': \"3578\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 97.0,\n            'f': \"97.0\",\n        }],\n [\"Athletics\",\n{\n            'v': 38624,\n            'f': \"38624\",\n        },\n{\n            'v': 12.0,\n            'f': \"12.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        }],\n [\"Badminton\",\n{\n            'v': 1457,\n            'f': \"1457\",\n        },\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Baseball\",\n{\n            'v': 894,\n            'f': \"894\",\n        },\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Basketball\",\n{\n            'v': 4536,\n            'f': \"4536\",\n        },\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Basque Pelota\",\n{\n            'v': 2,\n            'f': \"2\",\n        },\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        }],\n [\"Beach Volleyball\",\n{\n            'v': 564,\n            'f': \"564\",\n        },\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Biathlon\",\n{\n            'v': 4893,\n            'f': \"4893\",\n        },\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Bobsleigh\",\n{\n            'v': 3058,\n            'f': \"3058\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 54.0,\n            'f': \"54.0\",\n        }],\n [\"Boxing\",\n{\n            'v': 6047,\n            'f': \"6047\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Canoeing\",\n{\n            'v': 6171,\n            'f': \"6171\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 48.0,\n            'f': \"48.0\",\n        }],\n [\"Cricket\",\n{\n            'v': 24,\n            'f': \"24\",\n        },\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Croquet\",\n{\n            'v': 19,\n            'f': \"19\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 58.0,\n            'f': \"58.0\",\n        }],\n [\"Cross Country Skiing\",\n{\n            'v': 9133,\n            'f': \"9133\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 49.0,\n            'f': \"49.0\",\n        }],\n [\"Curling\",\n{\n            'v': 463,\n            'f': \"463\",\n        },\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 58.0,\n            'f': \"58.0\",\n        }],\n [\"Cycling\",\n{\n            'v': 10859,\n            'f': \"10859\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 49.0,\n            'f': \"49.0\",\n        }],\n [\"Diving\",\n{\n            'v': 2842,\n            'f': \"2842\",\n        },\n{\n            'v': 12.0,\n            'f': \"12.0\",\n        },\n{\n            'v': 51.0,\n            'f': \"51.0\",\n        }],\n [\"Equestrianism\",\n{\n            'v': 6344,\n            'f': \"6344\",\n        },\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 72.0,\n            'f': \"72.0\",\n        }],\n [\"Fencing\",\n{\n            'v': 10735,\n            'f': \"10735\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 63.0,\n            'f': \"63.0\",\n        }],\n [\"Figure Skating\",\n{\n            'v': 2298,\n            'f': \"2298\",\n        },\n{\n            'v': 11.0,\n            'f': \"11.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        }],\n [\"Football\",\n{\n            'v': 6745,\n            'f': \"6745\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Freestyle Skiing\",\n{\n            'v': 937,\n            'f': \"937\",\n        },\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Golf\",\n{\n            'v': 247,\n            'f': \"247\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        }],\n [\"Gymnastics\",\n{\n            'v': 26707,\n            'f': \"26707\",\n        },\n{\n            'v': 10.0,\n            'f': \"10.0\",\n        },\n{\n            'v': 49.0,\n            'f': \"49.0\",\n        }],\n [\"Handball\",\n{\n            'v': 3665,\n            'f': \"3665\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Hockey\",\n{\n            'v': 5417,\n            'f': \"5417\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Ice Hockey\",\n{\n            'v': 5516,\n            'f': \"5516\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 48.0,\n            'f': \"48.0\",\n        }],\n [\"Jeu De Paume\",\n{\n            'v': 11,\n            'f': \"11\",\n        },\n{\n            'v': 19.0,\n            'f': \"19.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Judo\",\n{\n            'v': 3801,\n            'f': \"3801\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Lacrosse\",\n{\n            'v': 60,\n            'f': \"60\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 37.0,\n            'f': \"37.0\",\n        }],\n [\"Luge\",\n{\n            'v': 1479,\n            'f': \"1479\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Military Ski Patrol\",\n{\n            'v': 24,\n            'f': \"24\",\n        },\n{\n            'v': 20.0,\n            'f': \"20.0\",\n        },\n{\n            'v': 32.0,\n            'f': \"32.0\",\n        }],\n [\"Modern Pentathlon\",\n{\n            'v': 1677,\n            'f': \"1677\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Motorboating\",\n{\n            'v': 17,\n            'f': \"17\",\n        },\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 54.0,\n            'f': \"54.0\",\n        }],\n [\"Nordic Combined\",\n{\n            'v': 1344,\n            'f': \"1344\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        }],\n [\"Polo\",\n{\n            'v': 95,\n            'f': \"95\",\n        },\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Racquets\",\n{\n            'v': 12,\n            'f': \"12\",\n        },\n{\n            'v': 19.0,\n            'f': \"19.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Rhythmic Gymnastics\",\n{\n            'v': 658,\n            'f': \"658\",\n        },\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        }],\n [\"Roque\",\n{\n            'v': 4,\n            'f': \"4\",\n        },\n{\n            'v': 37.0,\n            'f': \"37.0\",\n        },\n{\n            'v': 64.0,\n            'f': \"64.0\",\n        }],\n [\"Rowing\",\n{\n            'v': 10595,\n            'f': \"10595\",\n        },\n{\n            'v': 11.0,\n            'f': \"11.0\",\n        },\n{\n            'v': 60.0,\n            'f': \"60.0\",\n        }],\n [\"Rugby\",\n{\n            'v': 162,\n            'f': \"162\",\n        },\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        }],\n [\"Rugby Sevens\",\n{\n            'v': 299,\n            'f': \"299\",\n        },\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 36.0,\n            'f': \"36.0\",\n        }],\n [\"Sailing\",\n{\n            'v': 6586,\n            'f': \"6586\",\n        },\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 71.0,\n            'f': \"71.0\",\n        }],\n [\"Shooting\",\n{\n            'v': 11448,\n            'f': \"11448\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 72.0,\n            'f': \"72.0\",\n        }],\n [\"Short Track Speed Skating\",\n{\n            'v': 1534,\n            'f': \"1534\",\n        },\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 35.0,\n            'f': \"35.0\",\n        }],\n [\"Skeleton\",\n{\n            'v': 199,\n            'f': \"199\",\n        },\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Ski Jumping\",\n{\n            'v': 2401,\n            'f': \"2401\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Snowboarding\",\n{\n            'v': 936,\n            'f': \"936\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Softball\",\n{\n            'v': 478,\n            'f': \"478\",\n        },\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Speed Skating\",\n{\n            'v': 5613,\n            'f': \"5613\",\n        },\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        }],\n [\"Swimming\",\n{\n            'v': 23195,\n            'f': \"23195\",\n        },\n{\n            'v': 11.0,\n            'f': \"11.0\",\n        },\n{\n            'v': 46.0,\n            'f': \"46.0\",\n        }],\n [\"Synchronized Swimming\",\n{\n            'v': 909,\n            'f': \"909\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Table Tennis\",\n{\n            'v': 1955,\n            'f': \"1955\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 54.0,\n            'f': \"54.0\",\n        }],\n [\"Taekwondo\",\n{\n            'v': 606,\n            'f': \"606\",\n        },\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 37.0,\n            'f': \"37.0\",\n        }],\n [\"Tennis\",\n{\n            'v': 2862,\n            'f': \"2862\",\n        },\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 47.0,\n            'f': \"47.0\",\n        }],\n [\"Trampolining\",\n{\n            'v': 152,\n            'f': \"152\",\n        },\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        }],\n [\"Triathlon\",\n{\n            'v': 529,\n            'f': \"529\",\n        },\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 42.0,\n            'f': \"42.0\",\n        }],\n [\"Tug-Of-War\",\n{\n            'v': 170,\n            'f': \"170\",\n        },\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Volleyball\",\n{\n            'v': 3404,\n            'f': \"3404\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Water Polo\",\n{\n            'v': 3846,\n            'f': \"3846\",\n        },\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Weightlifting\",\n{\n            'v': 3937,\n            'f': \"3937\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Wrestling\",\n{\n            'v': 7154,\n            'f': \"7154\",\n        },\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        }]],\n        columns: [[\"string\", \"Sport\"], [\"number\", \"Count\"], [\"number\", \"min_Age\"], [\"number\", \"max_Age\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Count</th>\n",
              "      <th>min_Age</th>\n",
              "      <th>max_Age</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sport</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Aeronautics</th>\n",
              "      <td>1</td>\n",
              "      <td>26.0</td>\n",
              "      <td>26.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alpine Skiing</th>\n",
              "      <td>8829</td>\n",
              "      <td>14.0</td>\n",
              "      <td>55.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alpinism</th>\n",
              "      <td>25</td>\n",
              "      <td>22.0</td>\n",
              "      <td>57.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Archery</th>\n",
              "      <td>2334</td>\n",
              "      <td>14.0</td>\n",
              "      <td>71.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Art Competitions</th>\n",
              "      <td>3578</td>\n",
              "      <td>14.0</td>\n",
              "      <td>97.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tug-Of-War</th>\n",
              "      <td>170</td>\n",
              "      <td>17.0</td>\n",
              "      <td>45.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Volleyball</th>\n",
              "      <td>3404</td>\n",
              "      <td>15.0</td>\n",
              "      <td>41.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Water Polo</th>\n",
              "      <td>3846</td>\n",
              "      <td>14.0</td>\n",
              "      <td>45.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Weightlifting</th>\n",
              "      <td>3937</td>\n",
              "      <td>15.0</td>\n",
              "      <td>45.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wrestling</th>\n",
              "      <td>7154</td>\n",
              "      <td>15.0</td>\n",
              "      <td>50.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>66 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  Count  min_Age  max_Age\n",
              "Sport                                    \n",
              "Aeronautics           1     26.0     26.0\n",
              "Alpine Skiing      8829     14.0     55.0\n",
              "Alpinism             25     22.0     57.0\n",
              "Archery            2334     14.0     71.0\n",
              "Art Competitions   3578     14.0     97.0\n",
              "...                 ...      ...      ...\n",
              "Tug-Of-War          170     17.0     45.0\n",
              "Volleyball         3404     15.0     41.0\n",
              "Water Polo         3846     14.0     45.0\n",
              "Weightlifting      3937     15.0     45.0\n",
              "Wrestling          7154     15.0     50.0\n",
              "\n",
              "[66 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "id": "QvoM0d2JNBGA",
        "outputId": "1395fe05-e8aa-4d97-b4a0-ec87921fcaa0"
      },
      "source": [
        "df.groupby(['Sport']).Age.agg([min,max])"
      ],
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.module+javascript": "\n      import \"https://ssl.gstatic.com/colaboratory/data_table/a6224c040fa35dcf/data_table.js\";\n\n      window.createDataTable({\n        data: [[\"Aeronautics\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        }],\n [\"Alpine Skiing\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 55.0,\n            'f': \"55.0\",\n        }],\n [\"Alpinism\",\n{\n            'v': 22.0,\n            'f': \"22.0\",\n        },\n{\n            'v': 57.0,\n            'f': \"57.0\",\n        }],\n [\"Archery\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 71.0,\n            'f': \"71.0\",\n        }],\n [\"Art Competitions\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 97.0,\n            'f': \"97.0\",\n        }],\n [\"Athletics\",\n{\n            'v': 12.0,\n            'f': \"12.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        }],\n [\"Badminton\",\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Baseball\",\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Basketball\",\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Basque Pelota\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        }],\n [\"Beach Volleyball\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Biathlon\",\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Bobsleigh\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 54.0,\n            'f': \"54.0\",\n        }],\n [\"Boxing\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Canoeing\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 48.0,\n            'f': \"48.0\",\n        }],\n [\"Cricket\",\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Croquet\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 58.0,\n            'f': \"58.0\",\n        }],\n [\"Cross Country Skiing\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 49.0,\n            'f': \"49.0\",\n        }],\n [\"Curling\",\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 58.0,\n            'f': \"58.0\",\n        }],\n [\"Cycling\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 49.0,\n            'f': \"49.0\",\n        }],\n [\"Diving\",\n{\n            'v': 12.0,\n            'f': \"12.0\",\n        },\n{\n            'v': 51.0,\n            'f': \"51.0\",\n        }],\n [\"Equestrianism\",\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 72.0,\n            'f': \"72.0\",\n        }],\n [\"Fencing\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 63.0,\n            'f': \"63.0\",\n        }],\n [\"Figure Skating\",\n{\n            'v': 11.0,\n            'f': \"11.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        }],\n [\"Football\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Freestyle Skiing\",\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Golf\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        }],\n [\"Gymnastics\",\n{\n            'v': 10.0,\n            'f': \"10.0\",\n        },\n{\n            'v': 49.0,\n            'f': \"49.0\",\n        }],\n [\"Handball\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Hockey\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 44.0,\n            'f': \"44.0\",\n        }],\n [\"Ice Hockey\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 48.0,\n            'f': \"48.0\",\n        }],\n [\"Jeu De Paume\",\n{\n            'v': 19.0,\n            'f': \"19.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Judo\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Lacrosse\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 37.0,\n            'f': \"37.0\",\n        }],\n [\"Luge\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Military Ski Patrol\",\n{\n            'v': 20.0,\n            'f': \"20.0\",\n        },\n{\n            'v': 32.0,\n            'f': \"32.0\",\n        }],\n [\"Modern Pentathlon\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Motorboating\",\n{\n            'v': 26.0,\n            'f': \"26.0\",\n        },\n{\n            'v': 54.0,\n            'f': \"54.0\",\n        }],\n [\"Nordic Combined\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        }],\n [\"Polo\",\n{\n            'v': 21.0,\n            'f': \"21.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Racquets\",\n{\n            'v': 19.0,\n            'f': \"19.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Rhythmic Gymnastics\",\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 30.0,\n            'f': \"30.0\",\n        }],\n [\"Roque\",\n{\n            'v': 37.0,\n            'f': \"37.0\",\n        },\n{\n            'v': 64.0,\n            'f': \"64.0\",\n        }],\n [\"Rowing\",\n{\n            'v': 11.0,\n            'f': \"11.0\",\n        },\n{\n            'v': 60.0,\n            'f': \"60.0\",\n        }],\n [\"Rugby\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        }],\n [\"Rugby Sevens\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 36.0,\n            'f': \"36.0\",\n        }],\n [\"Sailing\",\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 71.0,\n            'f': \"71.0\",\n        }],\n [\"Shooting\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 72.0,\n            'f': \"72.0\",\n        }],\n [\"Short Track Speed Skating\",\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 35.0,\n            'f': \"35.0\",\n        }],\n [\"Skeleton\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 53.0,\n            'f': \"53.0\",\n        }],\n [\"Ski Jumping\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 43.0,\n            'f': \"43.0\",\n        }],\n [\"Snowboarding\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Softball\",\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Speed Skating\",\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 52.0,\n            'f': \"52.0\",\n        }],\n [\"Swimming\",\n{\n            'v': 11.0,\n            'f': \"11.0\",\n        },\n{\n            'v': 46.0,\n            'f': \"46.0\",\n        }],\n [\"Synchronized Swimming\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 40.0,\n            'f': \"40.0\",\n        }],\n [\"Table Tennis\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 54.0,\n            'f': \"54.0\",\n        }],\n [\"Taekwondo\",\n{\n            'v': 16.0,\n            'f': \"16.0\",\n        },\n{\n            'v': 37.0,\n            'f': \"37.0\",\n        }],\n [\"Tennis\",\n{\n            'v': 13.0,\n            'f': \"13.0\",\n        },\n{\n            'v': 47.0,\n            'f': \"47.0\",\n        }],\n [\"Trampolining\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 39.0,\n            'f': \"39.0\",\n        }],\n [\"Triathlon\",\n{\n            'v': 18.0,\n            'f': \"18.0\",\n        },\n{\n            'v': 42.0,\n            'f': \"42.0\",\n        }],\n [\"Tug-Of-War\",\n{\n            'v': 17.0,\n            'f': \"17.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Volleyball\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 41.0,\n            'f': \"41.0\",\n        }],\n [\"Water Polo\",\n{\n            'v': 14.0,\n            'f': \"14.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Weightlifting\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 45.0,\n            'f': \"45.0\",\n        }],\n [\"Wrestling\",\n{\n            'v': 15.0,\n            'f': \"15.0\",\n        },\n{\n            'v': 50.0,\n            'f': \"50.0\",\n        }]],\n        columns: [[\"string\", \"Sport\"], [\"number\", \"min\"], [\"number\", \"max\"]],\n        columnOptions: [{\"width\": \"1px\", \"className\": \"index_column\"}],\n        rowsPerPage: 25,\n        helpUrl: \"https://colab.research.google.com/notebooks/data_table.ipynb\",\n        suppressOutputScrolling: true,\n        minimumWidth: undefined,\n      });\n    ",
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>min</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sport</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Aeronautics</th>\n",
              "      <td>26.0</td>\n",
              "      <td>26.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alpine Skiing</th>\n",
              "      <td>14.0</td>\n",
              "      <td>55.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alpinism</th>\n",
              "      <td>22.0</td>\n",
              "      <td>57.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Archery</th>\n",
              "      <td>14.0</td>\n",
              "      <td>71.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Art Competitions</th>\n",
              "      <td>14.0</td>\n",
              "      <td>97.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tug-Of-War</th>\n",
              "      <td>17.0</td>\n",
              "      <td>45.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Volleyball</th>\n",
              "      <td>15.0</td>\n",
              "      <td>41.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Water Polo</th>\n",
              "      <td>14.0</td>\n",
              "      <td>45.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Weightlifting</th>\n",
              "      <td>15.0</td>\n",
              "      <td>45.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wrestling</th>\n",
              "      <td>15.0</td>\n",
              "      <td>50.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>66 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                   min   max\n",
              "Sport                       \n",
              "Aeronautics       26.0  26.0\n",
              "Alpine Skiing     14.0  55.0\n",
              "Alpinism          22.0  57.0\n",
              "Archery           14.0  71.0\n",
              "Art Competitions  14.0  97.0\n",
              "...                ...   ...\n",
              "Tug-Of-War        17.0  45.0\n",
              "Volleyball        15.0  41.0\n",
              "Water Polo        14.0  45.0\n",
              "Weightlifting     15.0  45.0\n",
              "Wrestling         15.0  50.0\n",
              "\n",
              "[66 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    }
  ]
}