dap_w3.ipynb

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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## **1. Series 생성**\n",
        "\n",
        "---\n",
        "\n",
        "Pandas에서 `pd.Series`는 `pd.DataFrame`의 각 *column*을 나타내는 자료형이라고 볼 수 있습니다. Series는 `list`, `tuple`, `dict` 등의 **순서를 가지는**(즉, `set`으로는 pd.Series를 만들 수 없습니다.) *iterable* 자료형으로부터 생성할 수도 있고, Numpy의 `np.array`를 가지고 만들 수도, 다른 `pd.Series`로부터 생성할 수도 있습니다.\n",
        "\n",
        "`pd.Series`의 생성자에는 *`copy=False`*라는 파라미터가 있습니다. `pd.Series`를 `np.array` 혹은 다른 `pd.Series`를 입력으로 생성하는 경우, *copy*가 `False`인 경우 입력으로 받은 객체를 복사해 완전히 새로운 pd.Series를 만드는 것이 아니라, 입력으로 받은 객체의 reference를 보유하게 되기 때문에, 새로 생성된 `pd.Series`의 내용을 수정하는 경우 원본 객체의 내용 또한 수정됩니다. *copy*를 `True`로 하는 경우, 객체의 내용을 완전히 새로 복사하기 때문에, 새로 생성된 `pd.Series`를 수정하더라도 원본의 내용이 바뀌지 않습니다.\n",
        "\n",
        "이 *copy*와 관련된 특성은 `pd.DataFrame`을 다룰 때에도 비슷하니 유의하여 사용하시기 바랍니다.\n",
        "\n",
        "`pd.Series`를 생성할 때, *`index=(0, 1, ...)`*라는 파라미터를 이용해 index를 임의로 바꿀 수 있습니다. *index*가 따로 주어지지 않은 경우 (0, 1, 2, ...)으로 이루어진 default index가 부여됩니다.\n",
        "\n",
        "---\n",
        "\n",
        "[np.array](https://numpy.org/doc/stable/reference/generated/numpy.array.html) <br>\n",
        "[pd.Series](https://pandas.pydata.org/docs/reference/api/pandas.Series.html)"
      ],
      "metadata": {
        "id": "rDcSKINEg2nk"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dhhGb8tUg0ER",
        "outputId": "a815035b-6e92-41b2-b47c-acc90eb101b6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "pd.Series from list\n",
            "5    10\n",
            "1    20\n",
            "3    30\n",
            "2    40\n",
            "dtype: int64\n",
            "\n",
            "pd.Series from tuple\n",
            "5    10\n",
            "1    20\n",
            "3    30\n",
            "2    40\n",
            "dtype: int64\n",
            "\n",
            "pd.Series from dict\n",
            "5    10\n",
            "1    20\n",
            "3    30\n",
            "2    40\n",
            "dtype: int64\n",
            "\n",
            "pd.Series from np.array\n",
            "5    10\n",
            "1    20\n",
            "3    30\n",
            "2    40\n",
            "dtype: int64\n",
            "\n",
            "np.array before pd.Series update\n",
            "[10 20 30 40]\n",
            "\n",
            "np.array after pd.Series update\n",
            "[10 20 30 40]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "\n",
        "# 아래에는 두 개의 list를 이용해, index를 임의로 부여한 pd.Series를 생성한 예시가 있습니다.\n",
        "some_list = [10, 20, 30, 40]\n",
        "indices_list = [5, 1, 3, 2]\n",
        "series_list  = pd.Series(some_list, indices_list)\n",
        "\n",
        "print(f'pd.Series from list\\n{series_list}\\n')\n",
        "\n",
        "# 아래 ##########으로 구분된 구역 내에 코드를 추가해, tuple, dict, np.array를 이용해 위와 내용이 완전히 동일한(index에 유의하세요) pd.Series를 생성하세요.\n",
        "# 예시로 출력된 결과와 내용이 완전히 동일해야 합니다. (np.array로 pd.Series를 생성할 때, copy 파라미터에 유의하세요. 원본 array의 내용이 변하면 안됩니다.)\n",
        "#############################################\n",
        "\n",
        "some_tuple = (10, 20, 30, 40) ###################\n",
        "some_dict  = {5:10, 1:20, 3:30, 2:40} ###################\n",
        "some_array = np.array(some_tuple) ###################\n",
        "series_tuple = pd.Series(some_tuple, indices_list) ###################\n",
        "series_dict  = pd.Series(some_dict) ###################\n",
        "series_array = pd.Series(some_array, indices_list, copy=True) ###################\n",
        "\n",
        "#############################################\n",
        "\n",
        "\n",
        "print(f'pd.Series from tuple\\n{series_tuple}\\n')\n",
        "print(f'pd.Series from dict\\n{series_dict}\\n')\n",
        "print(f'pd.Series from np.array\\n{series_array}\\n')\n",
        "\n",
        "print(f'np.array before pd.Series update\\n{some_array}\\n')\n",
        "series_array.iloc[2]=9999999999\n",
        "print(f'np.array after pd.Series update\\n{some_array}\\n')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **2. DataFrame 생성**\n",
        "\n",
        "---\n",
        "\n",
        "`pd.DataFrame`은 Pandas에서 tabular 데이터를 다룰 때 사용하는 자료형입니다.\n",
        "\n",
        "`pd.DataFrame`은 2-d `list`(`[[1, 2, 3], [4, 5, 6]]`과 같은 형태), `dict` of `list`(`{0 : [1, 2, 3], 1 : [4, 5, 6]}`과 같은 형태), `list` of `dict`(`[{'a' : 1, 'b' : 2, 'c' : 3}, {'a' : 4, 'b' : 5, 'c' : 6}, {'a' : 7, 'b' : 8, 'd' : 99}]`와 같은 형태), `dict` of `pd.Series`(`{'a' : pd.Series([1, 3, 5]), 'b' : pd.Series([2, 4, 6])}`과 같은 형태), 2d `np.array`(`np.array([[1, 2], [3, 4], [5, 6]])`과 같은 형태) 등 많은 자료형을 입력으로 받을 수 있습니다. 많은 응용이 있기 때문에, 링크 혹은 검색을 통해 정보를 찾는 것을 추천드립니다.\n",
        "\n",
        "`pd.DataFrame` 또한 `pd.Series`와 마찬가지로 `copy=bool` (default값은 입력으로 들어온 값의 타입에 따라 달라집니다) 및 `index=(0, 1, ...)` 파라미터를 가지며, 이에 대한 설명은 `pd.Series`의 해당 파라미터의 설명과 동일합니다. `pd.DataFrame`은 여기에 더해 `columns=(0, 1, ...)` 라는 파라미터를 가집니다. `pd.DataFrame`은 `pd.Series`들을 column으로 하여 구성된 2차원 자료형인데, 이 각각의 column명을 임의로 지정하는 파라미터에 해당합니다.\n",
        "\n",
        "---\n",
        "\n",
        "[pd.DataFrame](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html)"
      ],
      "metadata": {
        "id": "Om766-SBw_IT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from pandas._libs.lib import fast_unique_multiple_list_gen\n",
        "# 아래에는 2차원 list와 index list, column list를 이용해 하나의 pd.DataFrame을 생성한 예시가 있습니다.\n",
        "list_data = [\n",
        "    [1, '일', 1.11],\n",
        "    [2, '이', 2.22],\n",
        "    [3, '삼', 3.33]\n",
        "]\n",
        "indices_list = [3, 6, 9]\n",
        "column_list = ['INT', '한글', 'FLOAT']\n",
        "\n",
        "df_list = pd.DataFrame(list_data, indices_list, column_list)\n",
        "\n",
        "print(f'pd.DataFrame from 2d list\\n{df_list}\\ntypes\\n{df_list.dtypes}\\n')\n",
        "\n",
        "series_1 = pd.Series([1, 2, 3], indices_list)\n",
        "series_2 = pd.Series(['일', '이', '삼'], indices_list)\n",
        "series_3 = pd.Series([1.11, 2.22, 3.33], indices_list)\n",
        "\n",
        "# 아래 ##########으로 구분된 구역 내에 코드를 추가해, dict of list, list of dict, dict of series를 이용해 위와 내용이 완전히 동일한(index에 유의하세요) pd.DataFrame을 생성하세요.\n",
        "# 예시로 출력된 결과와 내용이 완전히 동일해야 합니다. (pd.Series로 pd.DataFrame을 생성할 때, copy 파라미터에 유의하세요. 이번에는 원본 Series에도 변화가 적용되어야 합니다.)\n",
        "# dict of series에 사용될 pd.Series는 위에 제공된 series_1, ...을 이용하세요.\n",
        "#############################################\n",
        "\n",
        "df_dict_of_list = pd.DataFrame({'INT':[1,2,3], '한글':['일', '이', '삼'], 'FLOAT': [1.11, 2.22, 3.33]}, indices_list) ##############################\n",
        "df_list_of_dict = pd.DataFrame([{'INT':1, '한글':'일', 'FLOAT':1.11}, {'INT':2, '한글':'이', 'FLOAT':2.22}, {'INT':3, '한글':'삼', 'FLOAT': 3.33}], indices_list) ############################\n",
        "df_dict_of_series = pd.DataFrame({'INT':series_1, '한글':series_2, 'FLOAT':series_3}, copy=False) ###################################\n",
        "\n",
        "#############################################\n",
        "\n",
        "print(f'pd.DataFrame from dict of list\\n{df_dict_of_list}\\ntypes\\n{df_dict_of_list.dtypes}\\n')\n",
        "print(f'pd.DataFrame from list of dict\\n{df_list_of_dict}\\ntypes\\n{df_list_of_dict.dtypes}\\n')\n",
        "print(f'pd.DataFrame from dict of series\\n{df_dict_of_series}\\ntypes\\n{df_dict_of_series.dtypes}\\n')\n",
        "\n",
        "print(f'pd.Series before pd.DataFrame update\\n{series_1}\\n')\n",
        "df_dict_of_series.at[6, 'INT'] = 111111\n",
        "print(f'pd.Series after pd.DataFrame update\\n{series_1}\\n')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zu4omKExzvGU",
        "outputId": "fd75efb7-aa03-4a34-b57c-a9c6f69b61b2"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "pd.DataFrame from 2d list\n",
            "   INT 한글  FLOAT\n",
            "3    1  일   1.11\n",
            "6    2  이   2.22\n",
            "9    3  삼   3.33\n",
            "types\n",
            "INT        int64\n",
            "한글        object\n",
            "FLOAT    float64\n",
            "dtype: object\n",
            "\n",
            "pd.DataFrame from dict of list\n",
            "   INT 한글  FLOAT\n",
            "3    1  일   1.11\n",
            "6    2  이   2.22\n",
            "9    3  삼   3.33\n",
            "types\n",
            "INT        int64\n",
            "한글        object\n",
            "FLOAT    float64\n",
            "dtype: object\n",
            "\n",
            "pd.DataFrame from list of dict\n",
            "   INT 한글  FLOAT\n",
            "3    1  일   1.11\n",
            "6    2  이   2.22\n",
            "9    3  삼   3.33\n",
            "types\n",
            "INT        int64\n",
            "한글        object\n",
            "FLOAT    float64\n",
            "dtype: object\n",
            "\n",
            "pd.DataFrame from dict of series\n",
            "   INT 한글  FLOAT\n",
            "3    1  일   1.11\n",
            "6    2  이   2.22\n",
            "9    3  삼   3.33\n",
            "types\n",
            "INT        int64\n",
            "한글        object\n",
            "FLOAT    float64\n",
            "dtype: object\n",
            "\n",
            "pd.Series before pd.DataFrame update\n",
            "3    1\n",
            "6    2\n",
            "9    3\n",
            "dtype: int64\n",
            "\n",
            "pd.Series after pd.DataFrame update\n",
            "3         1\n",
            "6    111111\n",
            "9         3\n",
            "dtype: int64\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **3. DataFrame의 대략적인 정보 조회, record 선택**\n",
        "\n",
        "---\n",
        "\n",
        "`pd.DataFrame`은 데이터베이스의 테이블과 같이 행(row)과 열(column)으로 구성됩니다. (설명은 5장 이론 PPT 혹은 아래 링크를 참조하세요.)\n",
        "\n",
        "`pd.DataFrame`에서 각 행 혹은 열을 선택하는 방법과 `pd.DataFrame`이 담고 있는 데이터의 대략적인 정보를 확인할 수 있는 방법은 많은데, 이 중 몇 가지를 연습합니다.\n",
        "\n",
        "---\n",
        "\n",
        "[pd.DataFrame](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html) <br>\n",
        "[pd.DataFrame.info](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.info.html) <br>\n",
        "[pd.DataFrame.head](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.head.html#pandas.DataFrame.head) <br>\n",
        "[pd.DataFrame.tail](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.tail.html#pandas.DataFrame.tail) <br>\n",
        "[pd.DataFrame.columns](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.columns.html) <br>\n",
        "[pd.DataFrame.dtypes](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dtypes.html) <br>\n",
        "[pd.DataFrame.loc](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.loc.html) <br>\n",
        "[pd.DataFrame.iloc](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.iloc.html) <br>"
      ],
      "metadata": {
        "id": "CQBbLLKqFFLA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 3번 문제에 사용될 DataFrame입니다.\n",
        "df = pd.read_csv(\"https://raw.githubusercontent.com/selva86/datasets/master/Cars93_miss.csv\")\n",
        "len(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "reSqXpmllOJi",
        "outputId": "78144c96-997c-4d51-f236-1db3720a2f3a"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "93"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3-1 df의 대략적인 정보를 출력하세요.\n",
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5FWGQ6jjl59c",
        "outputId": "63891974-19a0-4f91-fff0-33a5d7cfcfc1"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 93 entries, 0 to 92\n",
            "Data columns (total 27 columns):\n",
            " #   Column              Non-Null Count  Dtype  \n",
            "---  ------              --------------  -----  \n",
            " 0   Manufacturer        89 non-null     object \n",
            " 1   Model               92 non-null     object \n",
            " 2   Type                90 non-null     object \n",
            " 3   Min.Price           86 non-null     float64\n",
            " 4   Price               91 non-null     float64\n",
            " 5   Max.Price           88 non-null     float64\n",
            " 6   MPG.city            84 non-null     float64\n",
            " 7   MPG.highway         91 non-null     float64\n",
            " 8   AirBags             87 non-null     object \n",
            " 9   DriveTrain          86 non-null     object \n",
            " 10  Cylinders           88 non-null     object \n",
            " 11  EngineSize          91 non-null     float64\n",
            " 12  Horsepower          86 non-null     float64\n",
            " 13  RPM                 90 non-null     float64\n",
            " 14  Rev.per.mile        87 non-null     float64\n",
            " 15  Man.trans.avail     88 non-null     object \n",
            " 16  Fuel.tank.capacity  85 non-null     float64\n",
            " 17  Passengers          91 non-null     float64\n",
            " 18  Length              89 non-null     float64\n",
            " 19  Wheelbase           92 non-null     float64\n",
            " 20  Width               87 non-null     float64\n",
            " 21  Turn.circle         88 non-null     float64\n",
            " 22  Rear.seat.room      89 non-null     float64\n",
            " 23  Luggage.room        74 non-null     float64\n",
            " 24  Weight              86 non-null     float64\n",
            " 25  Origin              88 non-null     object \n",
            " 26  Make                90 non-null     object \n",
            "dtypes: float64(18), object(9)\n",
            "memory usage: 19.7+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3-2 df의 상위 3개 record(row)의 정보를 선택하세요.\n",
        "df.head(3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 245
        },
        "id": "HiNScqFdmE5H",
        "outputId": "2506c4cc-66f2-49ac-8ce7-e740552f1a39"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Manufacturer    Model     Type  Min.Price  Price  Max.Price  MPG.city  \\\n",
              "0        Acura  Integra    Small       12.9   15.9       18.8      25.0   \n",
              "1          NaN   Legend  Midsize       29.2   33.9       38.7      18.0   \n",
              "2         Audi       90  Compact       25.9   29.1       32.3      20.0   \n",
              "\n",
              "   MPG.highway             AirBags DriveTrain  ... Passengers  Length  \\\n",
              "0         31.0                None      Front  ...        5.0   177.0   \n",
              "1         25.0  Driver & Passenger      Front  ...        5.0   195.0   \n",
              "2         26.0         Driver only      Front  ...        5.0   180.0   \n",
              "\n",
              "   Wheelbase  Width  Turn.circle Rear.seat.room  Luggage.room  Weight  \\\n",
              "0      102.0   68.0         37.0           26.5           NaN  2705.0   \n",
              "1      115.0   71.0         38.0           30.0          15.0  3560.0   \n",
              "2      102.0   67.0         37.0           28.0          14.0  3375.0   \n",
              "\n",
              "    Origin           Make  \n",
              "0  non-USA  Acura Integra  \n",
              "1  non-USA   Acura Legend  \n",
              "2  non-USA        Audi 90  \n",
              "\n",
              "[3 rows x 27 columns]"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Manufacturer</th>\n",
              "      <th>Model</th>\n",
              "      <th>Type</th>\n",
              "      <th>Min.Price</th>\n",
              "      <th>Price</th>\n",
              "      <th>Max.Price</th>\n",
              "      <th>MPG.city</th>\n",
              "      <th>MPG.highway</th>\n",
              "      <th>AirBags</th>\n",
              "      <th>DriveTrain</th>\n",
              "      <th>...</th>\n",
              "      <th>Passengers</th>\n",
              "      <th>Length</th>\n",
              "      <th>Wheelbase</th>\n",
              "      <th>Width</th>\n",
              "      <th>Turn.circle</th>\n",
              "      <th>Rear.seat.room</th>\n",
              "      <th>Luggage.room</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Origin</th>\n",
              "      <th>Make</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Acura</td>\n",
              "      <td>Integra</td>\n",
              "      <td>Small</td>\n",
              "      <td>12.9</td>\n",
              "      <td>15.9</td>\n",
              "      <td>18.8</td>\n",
              "      <td>25.0</td>\n",
              "      <td>31.0</td>\n",
              "      <td>None</td>\n",
              "      <td>Front</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>177.0</td>\n",
              "      <td>102.0</td>\n",
              "      <td>68.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>26.5</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2705.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Acura Integra</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Legend</td>\n",
              "      <td>Midsize</td>\n",
              "      <td>29.2</td>\n",
              "      <td>33.9</td>\n",
              "      <td>38.7</td>\n",
              "      <td>18.0</td>\n",
              "      <td>25.0</td>\n",
              "      <td>Driver &amp; Passenger</td>\n",
              "      <td>Front</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>195.0</td>\n",
              "      <td>115.0</td>\n",
              "      <td>71.0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>3560.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Acura Legend</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Audi</td>\n",
              "      <td>90</td>\n",
              "      <td>Compact</td>\n",
              "      <td>25.9</td>\n",
              "      <td>29.1</td>\n",
              "      <td>32.3</td>\n",
              "      <td>20.0</td>\n",
              "      <td>26.0</td>\n",
              "      <td>Driver only</td>\n",
              "      <td>Front</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>180.0</td>\n",
              "      <td>102.0</td>\n",
              "      <td>67.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>14.0</td>\n",
              "      <td>3375.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Audi 90</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 27 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-94f22f30-7fc0-41aa-aaa2-0effe617cb81')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-94f22f30-7fc0-41aa-aaa2-0effe617cb81 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-94f22f30-7fc0-41aa-aaa2-0effe617cb81');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-06c3b0a4-ed78-4556-a43f-d5d996c7a8b2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-06c3b0a4-ed78-4556-a43f-d5d996c7a8b2')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
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              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-06c3b0a4-ed78-4556-a43f-d5d996c7a8b2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3-3 df의 하위 2개 record의 정보를 선택하세요.\n",
        "df.tail(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 196
        },
        "id": "unxitt_sma4i",
        "outputId": "9b5df1b9-d5d9-43b0-bcb6-d02be949756a"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Manufacturer Model     Type  Min.Price  Price  Max.Price  MPG.city  \\\n",
              "91        Volvo   240  Compact       21.8   22.7       23.5      21.0   \n",
              "92          NaN   850  Midsize       24.8   26.7       28.5      20.0   \n",
              "\n",
              "    MPG.highway             AirBags DriveTrain  ... Passengers  Length  \\\n",
              "91         28.0         Driver only       Rear  ...        5.0   190.0   \n",
              "92         28.0  Driver & Passenger      Front  ...        5.0   184.0   \n",
              "\n",
              "    Wheelbase  Width  Turn.circle Rear.seat.room  Luggage.room  Weight  \\\n",
              "91      104.0   67.0         37.0           29.5          14.0  2985.0   \n",
              "92      105.0   69.0         38.0           30.0          15.0  3245.0   \n",
              "\n",
              "     Origin       Make  \n",
              "91  non-USA  Volvo 240  \n",
              "92  non-USA  Volvo 850  \n",
              "\n",
              "[2 rows x 27 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-5662b1de-54a8-4b81-9f7f-4187bba7f73f\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Manufacturer</th>\n",
              "      <th>Model</th>\n",
              "      <th>Type</th>\n",
              "      <th>Min.Price</th>\n",
              "      <th>Price</th>\n",
              "      <th>Max.Price</th>\n",
              "      <th>MPG.city</th>\n",
              "      <th>MPG.highway</th>\n",
              "      <th>AirBags</th>\n",
              "      <th>DriveTrain</th>\n",
              "      <th>...</th>\n",
              "      <th>Passengers</th>\n",
              "      <th>Length</th>\n",
              "      <th>Wheelbase</th>\n",
              "      <th>Width</th>\n",
              "      <th>Turn.circle</th>\n",
              "      <th>Rear.seat.room</th>\n",
              "      <th>Luggage.room</th>\n",
              "      <th>Weight</th>\n",
              "      <th>Origin</th>\n",
              "      <th>Make</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>Volvo</td>\n",
              "      <td>240</td>\n",
              "      <td>Compact</td>\n",
              "      <td>21.8</td>\n",
              "      <td>22.7</td>\n",
              "      <td>23.5</td>\n",
              "      <td>21.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>Driver only</td>\n",
              "      <td>Rear</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>190.0</td>\n",
              "      <td>104.0</td>\n",
              "      <td>67.0</td>\n",
              "      <td>37.0</td>\n",
              "      <td>29.5</td>\n",
              "      <td>14.0</td>\n",
              "      <td>2985.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Volvo 240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>NaN</td>\n",
              "      <td>850</td>\n",
              "      <td>Midsize</td>\n",
              "      <td>24.8</td>\n",
              "      <td>26.7</td>\n",
              "      <td>28.5</td>\n",
              "      <td>20.0</td>\n",
              "      <td>28.0</td>\n",
              "      <td>Driver &amp; Passenger</td>\n",
              "      <td>Front</td>\n",
              "      <td>...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>184.0</td>\n",
              "      <td>105.0</td>\n",
              "      <td>69.0</td>\n",
              "      <td>38.0</td>\n",
              "      <td>30.0</td>\n",
              "      <td>15.0</td>\n",
              "      <td>3245.0</td>\n",
              "      <td>non-USA</td>\n",
              "      <td>Volvo 850</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2 rows × 27 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5662b1de-54a8-4b81-9f7f-4187bba7f73f')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
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              "      height: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-5662b1de-54a8-4b81-9f7f-4187bba7f73f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-5662b1de-54a8-4b81-9f7f-4187bba7f73f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-15fdbdef-65c3-43c8-b9f0-047a622597f6\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-15fdbdef-65c3-43c8-b9f0-047a622597f6')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-15fdbdef-65c3-43c8-b9f0-047a622597f6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3-4 df가 가진 column 리스트를 출력하세요.\n",
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0iYaOcVMDdd-",
        "outputId": "dd0646ef-2207-435c-f4c3-e76c15958770"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Manufacturer', 'Model', 'Type', 'Min.Price', 'Price', 'Max.Price',\n",
              "       'MPG.city', 'MPG.highway', 'AirBags', 'DriveTrain', 'Cylinders',\n",
              "       'EngineSize', 'Horsepower', 'RPM', 'Rev.per.mile', 'Man.trans.avail',\n",
              "       'Fuel.tank.capacity', 'Passengers', 'Length', 'Wheelbase', 'Width',\n",
              "       'Turn.circle', 'Rear.seat.room', 'Luggage.room', 'Weight', 'Origin',\n",
              "       'Make'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3-5 df 각 column의 dtype을 출력하세요.\n",
        "df.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tXJXpqcsDuBU",
        "outputId": "787165a2-19d5-499d-90f3-44cb2a1ebca2"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Manufacturer           object\n",
              "Model                  object\n",
              "Type                   object\n",
              "Min.Price             float64\n",
              "Price                 float64\n",
              "Max.Price             float64\n",
              "MPG.city              float64\n",
              "MPG.highway           float64\n",
              "AirBags                object\n",
              "DriveTrain             object\n",
              "Cylinders              object\n",
              "EngineSize            float64\n",
              "Horsepower            float64\n",
              "RPM                   float64\n",
              "Rev.per.mile          float64\n",
              "Man.trans.avail        object\n",
              "Fuel.tank.capacity    float64\n",
              "Passengers            float64\n",
              "Length                float64\n",
              "Wheelbase             float64\n",
              "Width                 float64\n",
              "Turn.circle           float64\n",
              "Rear.seat.room        float64\n",
              "Luggage.room          float64\n",
              "Weight                float64\n",
              "Origin                 object\n",
              "Make                   object\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3-6 iloc[...]을 이용해 마지막 record를 선택하세요.\n",
        "df.iloc[-1]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r778T1zxp0Bl",
        "outputId": "b7581263-2198-4a07-b06c-e405b88c36c4"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Manufacturer                         NaN\n",
              "Model                                850\n",
              "Type                             Midsize\n",
              "Min.Price                           24.8\n",
              "Price                               26.7\n",
              "Max.Price                           28.5\n",
              "MPG.city                            20.0\n",
              "MPG.highway                         28.0\n",
              "AirBags               Driver & Passenger\n",
              "DriveTrain                         Front\n",
              "Cylinders                              5\n",
              "EngineSize                           2.4\n",
              "Horsepower                         168.0\n",
              "RPM                               6200.0\n",
              "Rev.per.mile                         NaN\n",
              "Man.trans.avail                      Yes\n",
              "Fuel.tank.capacity                  19.3\n",
              "Passengers                           5.0\n",
              "Length                             184.0\n",
              "Wheelbase                          105.0\n",
              "Width                               69.0\n",
              "Turn.circle                         38.0\n",
              "Rear.seat.room                      30.0\n",
              "Luggage.room                        15.0\n",
              "Weight                            3245.0\n",
              "Origin                           non-USA\n",
              "Make                           Volvo 850\n",
              "Name: 92, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3-7 loc[...]을 이용해 index=11인 record를 선택하세요.\n",
        "df.loc[11]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4qhXNe51myZ2",
        "outputId": "206326e7-ee15-4ea3-aaaf-f3d4002a24f3"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Manufacturer                   Chevrolet\n",
              "Model                           Cavalier\n",
              "Type                             Compact\n",
              "Min.Price                            8.5\n",
              "Price                               13.4\n",
              "Max.Price                           18.3\n",
              "MPG.city                            25.0\n",
              "MPG.highway                         36.0\n",
              "AirBags                              NaN\n",
              "DriveTrain                           NaN\n",
              "Cylinders                              4\n",
              "EngineSize                           2.2\n",
              "Horsepower                           NaN\n",
              "RPM                               5200.0\n",
              "Rev.per.mile                      2380.0\n",
              "Man.trans.avail                      Yes\n",
              "Fuel.tank.capacity                  15.2\n",
              "Passengers                           5.0\n",
              "Length                             182.0\n",
              "Wheelbase                          101.0\n",
              "Width                               66.0\n",
              "Turn.circle                         38.0\n",
              "Rear.seat.room                      25.0\n",
              "Luggage.room                        13.0\n",
              "Weight                            2490.0\n",
              "Origin                               USA\n",
              "Make                  Chevrolet Cavalier\n",
              "Name: 11, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **4. DataFrame 열(column) 선택하기, 열 값 수정하기, 새로운 열 만들기**\n",
        "\n",
        "---\n",
        "\n",
        "`pd.DataFrame`에서 열을 선택하고, 열 값을 모든 record에 대하여 일괄적으로 수정하고, 임의의 값 혹은 이미 가지고 있던 다른 열이 가진 값을 이용해 새로운 열을 만드는 방법을 연습합니다.\n",
        "\n",
        "`pd.DataFrame`에서 열 하나 혹은 행 하나를 선택하는 경우에는 1차원 데이터이므로 `pd.Series` 타입으로 반환되며, 열 여럿 혹은 행 여럿을 선택하는 경우에는 2차원 데이터이므로 `pd.DataFrame` 타입으로 반환됩니다. Pandas에 익숙치 않은 경우 때때로 헷갈려 실수하는 경우가 있기 때문에, 유의하시기 바랍니다.\n",
        "\n",
        "---\n",
        "\n",
        "[pd.DataFrame selections](https://pandas.pydata.org/docs/getting_started/intro_tutorials/03_subset_data.html) <br>\n",
        "[pd.DataFrame new columns](https://pandas.pydata.org/docs/getting_started/intro_tutorials/05_add_columns.html) <br>\n",
        "[pd.DataFrame.columns](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.columns.html)"
      ],
      "metadata": {
        "id": "_dZVqC5dk7F1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 4번 문제에 사용될 DataFrame입니다.\n",
        "df_people = pd.read_csv(\"https://media.githubusercontent.com/media/datablist/sample-csv-files/main/files/people/people-100.csv\", index_col = \"Index\")\n",
        "df_people.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "ZZ2xGC2Ck6f-",
        "outputId": "c7210de9-57ce-411a-e6a0-983b47506a17"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               User Id First Name Last Name     Sex  \\\n",
              "Index                                                 \n",
              "1      88F7B33d2bcf9f5     Shelby   Terrell    Male   \n",
              "2      f90cD3E76f1A9b9    Phillip   Summers  Female   \n",
              "3      DbeAb8CcdfeFC2c   Kristine    Travis    Male   \n",
              "4      A31Bee3c201ef58    Yesenia  Martinez    Male   \n",
              "5      1bA7A3dc874da3c       Lori      Todd    Male   \n",
              "\n",
              "                            Email                   Phone Date of birth  \\\n",
              "Index                                                                     \n",
              "1            elijah57@example.net  001-084-906-7849x73518    1945-10-26   \n",
              "2           bethany14@example.com       214.112.6044x4913    1910-03-24   \n",
              "3           bthompson@example.com            277.609.7938    1992-07-02   \n",
              "4       kaitlinkaiser@example.com            584.094.6111    2017-08-03   \n",
              "5      buchananmanuel@example.net       689-207-3558x7233    1938-12-01   \n",
              "\n",
              "                Job Title  \n",
              "Index                      \n",
              "1         Games developer  \n",
              "2          Phytotherapist  \n",
              "3               Homeopath  \n",
              "4       Market researcher  \n",
              "5      Veterinary surgeon  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0c31b5a0-f2f4-43fa-802e-6e477fedcabd\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>User Id</th>\n",
              "      <th>First Name</th>\n",
              "      <th>Last Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Email</th>\n",
              "      <th>Phone</th>\n",
              "      <th>Date of birth</th>\n",
              "      <th>Job Title</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>88F7B33d2bcf9f5</td>\n",
              "      <td>Shelby</td>\n",
              "      <td>Terrell</td>\n",
              "      <td>Male</td>\n",
              "      <td>elijah57@example.net</td>\n",
              "      <td>001-084-906-7849x73518</td>\n",
              "      <td>1945-10-26</td>\n",
              "      <td>Games developer</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>f90cD3E76f1A9b9</td>\n",
              "      <td>Phillip</td>\n",
              "      <td>Summers</td>\n",
              "      <td>Female</td>\n",
              "      <td>bethany14@example.com</td>\n",
              "      <td>214.112.6044x4913</td>\n",
              "      <td>1910-03-24</td>\n",
              "      <td>Phytotherapist</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>DbeAb8CcdfeFC2c</td>\n",
              "      <td>Kristine</td>\n",
              "      <td>Travis</td>\n",
              "      <td>Male</td>\n",
              "      <td>bthompson@example.com</td>\n",
              "      <td>277.609.7938</td>\n",
              "      <td>1992-07-02</td>\n",
              "      <td>Homeopath</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>A31Bee3c201ef58</td>\n",
              "      <td>Yesenia</td>\n",
              "      <td>Martinez</td>\n",
              "      <td>Male</td>\n",
              "      <td>kaitlinkaiser@example.com</td>\n",
              "      <td>584.094.6111</td>\n",
              "      <td>2017-08-03</td>\n",
              "      <td>Market researcher</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1bA7A3dc874da3c</td>\n",
              "      <td>Lori</td>\n",
              "      <td>Todd</td>\n",
              "      <td>Male</td>\n",
              "      <td>buchananmanuel@example.net</td>\n",
              "      <td>689-207-3558x7233</td>\n",
              "      <td>1938-12-01</td>\n",
              "      <td>Veterinary surgeon</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0c31b5a0-f2f4-43fa-802e-6e477fedcabd')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-0c31b5a0-f2f4-43fa-802e-6e477fedcabd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-0c31b5a0-f2f4-43fa-802e-6e477fedcabd');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-b71101d7-aea4-4010-bf0a-ed2c5eaebd5b\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b71101d7-aea4-4010-bf0a-ed2c5eaebd5b')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b71101d7-aea4-4010-bf0a-ed2c5eaebd5b button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4-1. df_people의 \"First Name\" 열을 선택하세요.\n",
        "df_people['First Name']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xnnU70sOGfHv",
        "outputId": "ba85852f-2431-4fd8-e0a9-a21b1e4acc60"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index\n",
              "1        Shelby\n",
              "2       Phillip\n",
              "3      Kristine\n",
              "4       Yesenia\n",
              "5          Lori\n",
              "         ...   \n",
              "96       Dennis\n",
              "97        Steve\n",
              "98       Wesley\n",
              "99       Summer\n",
              "100      Mariah\n",
              "Name: First Name, Length: 100, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4-2. df_people의 3~6번째 열을 한꺼번에 선택하세요. (0부터 시작합니다.)\n",
        "df_people[df_people.columns[3:7]]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "0YD-BDfnIEkJ",
        "outputId": "b9e47797-a606-4a77-b37d-4170056c4550"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          Sex                       Email                   Phone  \\\n",
              "Index                                                               \n",
              "1        Male        elijah57@example.net  001-084-906-7849x73518   \n",
              "2      Female       bethany14@example.com       214.112.6044x4913   \n",
              "3        Male       bthompson@example.com            277.609.7938   \n",
              "4        Male   kaitlinkaiser@example.com            584.094.6111   \n",
              "5        Male  buchananmanuel@example.net       689-207-3558x7233   \n",
              "...       ...                         ...                     ...   \n",
              "96     Female         bmartin@example.org    001-095-524-2112x257   \n",
              "97     Female       latasha46@example.net        001-865-478-5157   \n",
              "98       Male        regina11@example.org      995-542-3004x76800   \n",
              "99     Female  alexiscantrell@example.org    001-273-685-6932x092   \n",
              "100      Male       pcopeland@example.org     (341)594-6554x44657   \n",
              "\n",
              "      Date of birth  \n",
              "Index                \n",
              "1        1945-10-26  \n",
              "2        1910-03-24  \n",
              "3        1992-07-02  \n",
              "4        2017-08-03  \n",
              "5        1938-12-01  \n",
              "...             ...  \n",
              "96       1954-07-30  \n",
              "97       1932-04-29  \n",
              "98       1994-12-28  \n",
              "99       2012-04-12  \n",
              "100      2016-11-15  \n",
              "\n",
              "[100 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7a29495d-a33f-4d52-8e55-59e164975dd5\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Sex</th>\n",
              "      <th>Email</th>\n",
              "      <th>Phone</th>\n",
              "      <th>Date of birth</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Male</td>\n",
              "      <td>elijah57@example.net</td>\n",
              "      <td>001-084-906-7849x73518</td>\n",
              "      <td>1945-10-26</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Female</td>\n",
              "      <td>bethany14@example.com</td>\n",
              "      <td>214.112.6044x4913</td>\n",
              "      <td>1910-03-24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Male</td>\n",
              "      <td>bthompson@example.com</td>\n",
              "      <td>277.609.7938</td>\n",
              "      <td>1992-07-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Male</td>\n",
              "      <td>kaitlinkaiser@example.com</td>\n",
              "      <td>584.094.6111</td>\n",
              "      <td>2017-08-03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Male</td>\n",
              "      <td>buchananmanuel@example.net</td>\n",
              "      <td>689-207-3558x7233</td>\n",
              "      <td>1938-12-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96</th>\n",
              "      <td>Female</td>\n",
              "      <td>bmartin@example.org</td>\n",
              "      <td>001-095-524-2112x257</td>\n",
              "      <td>1954-07-30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>97</th>\n",
              "      <td>Female</td>\n",
              "      <td>latasha46@example.net</td>\n",
              "      <td>001-865-478-5157</td>\n",
              "      <td>1932-04-29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98</th>\n",
              "      <td>Male</td>\n",
              "      <td>regina11@example.org</td>\n",
              "      <td>995-542-3004x76800</td>\n",
              "      <td>1994-12-28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>Female</td>\n",
              "      <td>alexiscantrell@example.org</td>\n",
              "      <td>001-273-685-6932x092</td>\n",
              "      <td>2012-04-12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>100</th>\n",
              "      <td>Male</td>\n",
              "      <td>pcopeland@example.org</td>\n",
              "      <td>(341)594-6554x44657</td>\n",
              "      <td>2016-11-15</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>100 rows × 4 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7a29495d-a33f-4d52-8e55-59e164975dd5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-7a29495d-a33f-4d52-8e55-59e164975dd5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-7a29495d-a33f-4d52-8e55-59e164975dd5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-3a29f619-0625-433a-99be-182f06731fce\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3a29f619-0625-433a-99be-182f06731fce')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3a29f619-0625-433a-99be-182f06731fce button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4-3 df_people에 새로운 열(이름은 \"One\")을 삽입합니다. 이 새로운 열의 초기값은 \"하나\"로 고정합니다.\n",
        "df_people['One'] = '하나'\n",
        "\n",
        "###### 아래 줄은 수정하지 마세요.\n",
        "df_people.iloc[:-1:15]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "CIvYvaowIcQx",
        "outputId": "6cda9c77-4ee3-4351-a9ac-413b43a3ebca"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               User Id First Name   Last Name     Sex  \\\n",
              "Index                                                   \n",
              "1      88F7B33d2bcf9f5     Shelby     Terrell    Male   \n",
              "16     50Bb061cB30B461     Thomas      Knight  Female   \n",
              "31     5d2feAfbdCAA6B5     Isaiah     Camacho  Female   \n",
              "46     6bFcfc3cc1BC6B4      Haley        Pugh  Female   \n",
              "61     bB9e49E506F65ed      Shari   Daugherty    Male   \n",
              "76     b3e15e65Ca2CcBf       Tina  Cunningham    Male   \n",
              "91     F0aeC9c2759F3C6     Alison       Nixon  Female   \n",
              "\n",
              "                            Email                   Phone Date of birth  \\\n",
              "Index                                                                     \n",
              "1            elijah57@example.net  001-084-906-7849x73518    1945-10-26   \n",
              "16     braunpriscilla@example.net         +1-360-880-0766    2006-02-18   \n",
              "31           jimblake@example.org        001-536-544-3367    1966-04-07   \n",
              "46            molly03@example.org      (746)182-6137x2453    1980-09-16   \n",
              "61          kalvarado@example.org   001-951-655-4798x6124    1944-11-24   \n",
              "76           wongmary@example.org            079-907-5051    1956-11-29   \n",
              "91             zmiles@example.net              3506680871    1941-07-10   \n",
              "\n",
              "                             Job Title One  \n",
              "Index                                       \n",
              "1                      Games developer  하나  \n",
              "16     Sport and exercise psychologist  하나  \n",
              "31                   Food technologist  하나  \n",
              "46                Commissioning editor  하나  \n",
              "61                             Curator  하나  \n",
              "76              Race relations officer  하나  \n",
              "91                     Patent attorney  하나  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-db2d8280-6b19-45e8-8f7c-52145563c4a7\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>User Id</th>\n",
              "      <th>First Name</th>\n",
              "      <th>Last Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Email</th>\n",
              "      <th>Phone</th>\n",
              "      <th>Date of birth</th>\n",
              "      <th>Job Title</th>\n",
              "      <th>One</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
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              "      <th>1</th>\n",
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              "      <td>Shelby</td>\n",
              "      <td>Terrell</td>\n",
              "      <td>Male</td>\n",
              "      <td>elijah57@example.net</td>\n",
              "      <td>001-084-906-7849x73518</td>\n",
              "      <td>1945-10-26</td>\n",
              "      <td>Games developer</td>\n",
              "      <td>하나</td>\n",
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              "      <th>16</th>\n",
              "      <td>50Bb061cB30B461</td>\n",
              "      <td>Thomas</td>\n",
              "      <td>Knight</td>\n",
              "      <td>Female</td>\n",
              "      <td>braunpriscilla@example.net</td>\n",
              "      <td>+1-360-880-0766</td>\n",
              "      <td>2006-02-18</td>\n",
              "      <td>Sport and exercise psychologist</td>\n",
              "      <td>하나</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>5d2feAfbdCAA6B5</td>\n",
              "      <td>Isaiah</td>\n",
              "      <td>Camacho</td>\n",
              "      <td>Female</td>\n",
              "      <td>jimblake@example.org</td>\n",
              "      <td>001-536-544-3367</td>\n",
              "      <td>1966-04-07</td>\n",
              "      <td>Food technologist</td>\n",
              "      <td>하나</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>6bFcfc3cc1BC6B4</td>\n",
              "      <td>Haley</td>\n",
              "      <td>Pugh</td>\n",
              "      <td>Female</td>\n",
              "      <td>molly03@example.org</td>\n",
              "      <td>(746)182-6137x2453</td>\n",
              "      <td>1980-09-16</td>\n",
              "      <td>Commissioning editor</td>\n",
              "      <td>하나</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>bB9e49E506F65ed</td>\n",
              "      <td>Shari</td>\n",
              "      <td>Daugherty</td>\n",
              "      <td>Male</td>\n",
              "      <td>kalvarado@example.org</td>\n",
              "      <td>001-951-655-4798x6124</td>\n",
              "      <td>1944-11-24</td>\n",
              "      <td>Curator</td>\n",
              "      <td>하나</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>b3e15e65Ca2CcBf</td>\n",
              "      <td>Tina</td>\n",
              "      <td>Cunningham</td>\n",
              "      <td>Male</td>\n",
              "      <td>wongmary@example.org</td>\n",
              "      <td>079-907-5051</td>\n",
              "      <td>1956-11-29</td>\n",
              "      <td>Race relations officer</td>\n",
              "      <td>하나</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>F0aeC9c2759F3C6</td>\n",
              "      <td>Alison</td>\n",
              "      <td>Nixon</td>\n",
              "      <td>Female</td>\n",
              "      <td>zmiles@example.net</td>\n",
              "      <td>3506680871</td>\n",
              "      <td>1941-07-10</td>\n",
              "      <td>Patent attorney</td>\n",
              "      <td>하나</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-db2d8280-6b19-45e8-8f7c-52145563c4a7')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-db2d8280-6b19-45e8-8f7c-52145563c4a7 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-db2d8280-6b19-45e8-8f7c-52145563c4a7');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-29652d19-e1e7-44b0-8e50-a1d8e4edaa8f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-29652d19-e1e7-44b0-8e50-a1d8e4edaa8f')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-29652d19-e1e7-44b0-8e50-a1d8e4edaa8f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4-4 df_people의 열 중 하나의 값을 일괄적으로 수정합니다. \"Last Name\"열의 값을 모두 \"ABC\"로 수정하세요.\n",
        "df_people['Last Name'] = 'ABC'\n",
        "\n",
        "###### 아래 줄은 수정하지 마세요.\n",
        "df_people.iloc[:-1:15]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "hzdfY7OxJSjJ",
        "outputId": "b57b56b0-2184-4ddb-b164-0e98f75aad8e"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               User Id First Name Last Name     Sex  \\\n",
              "Index                                                 \n",
              "1      88F7B33d2bcf9f5     Shelby       ABC    Male   \n",
              "16     50Bb061cB30B461     Thomas       ABC  Female   \n",
              "31     5d2feAfbdCAA6B5     Isaiah       ABC  Female   \n",
              "46     6bFcfc3cc1BC6B4      Haley       ABC  Female   \n",
              "61     bB9e49E506F65ed      Shari       ABC    Male   \n",
              "76     b3e15e65Ca2CcBf       Tina       ABC    Male   \n",
              "91     F0aeC9c2759F3C6     Alison       ABC  Female   \n",
              "\n",
              "                            Email                   Phone Date of birth  \\\n",
              "Index                                                                     \n",
              "1            elijah57@example.net  001-084-906-7849x73518    1945-10-26   \n",
              "16     braunpriscilla@example.net         +1-360-880-0766    2006-02-18   \n",
              "31           jimblake@example.org        001-536-544-3367    1966-04-07   \n",
              "46            molly03@example.org      (746)182-6137x2453    1980-09-16   \n",
              "61          kalvarado@example.org   001-951-655-4798x6124    1944-11-24   \n",
              "76           wongmary@example.org            079-907-5051    1956-11-29   \n",
              "91             zmiles@example.net              3506680871    1941-07-10   \n",
              "\n",
              "                             Job Title One  \n",
              "Index                                       \n",
              "1                      Games developer  하나  \n",
              "16     Sport and exercise psychologist  하나  \n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "\n",
              "  <script>\n",
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              "      const quickchartButtonEl =\n",
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              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4-5 두 열의 값과, 임의로 부여한 값을 합쳐 새로운 열을 만듭니다.\n",
        "# df_people의 \"First Name\" 열과 \"Last Name\" 열의 값을 띄어쓰기(\" \")로 구분하여 합치고,\n",
        "# 뒤에 \"DEFG\"라는 문자열을 마찬가지로 띄어쓰기로 구분하여 합친 값을 가지는 새로운 열 \"Full Name Plus\"을 만드세요.\n",
        "# **이름 합성 예시** -> 어느 record가 가진 값이 \"First Name\" = \"John\", \"Last Name\" = \"Doe\"인 경우, 새로운 열에 이 record가 가지는 값은 \"John Doe DEFG\"여야 합니다.\n",
        "df_people['Full Name Plus'] = df_people['First Name'] + \" \" + df_people['Last Name'] + \" DEFG\"\n",
        "\n",
        "###### 아래 줄은 수정하지 마세요.\n",
        "df_people.iloc[:-1:15]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 561
        },
        "id": "3pLdz5e1Jogr",
        "outputId": "08beeb27-3b87-4bdc-df6a-c7c79d6aa13c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               User Id First Name Last Name     Sex  \\\n",
              "Index                                                 \n",
              "1      88F7B33d2bcf9f5     Shelby       ABC    Male   \n",
              "16     50Bb061cB30B461     Thomas       ABC  Female   \n",
              "31     5d2feAfbdCAA6B5     Isaiah       ABC  Female   \n",
              "46     6bFcfc3cc1BC6B4      Haley       ABC  Female   \n",
              "61     bB9e49E506F65ed      Shari       ABC    Male   \n",
              "76     b3e15e65Ca2CcBf       Tina       ABC    Male   \n",
              "91     F0aeC9c2759F3C6     Alison       ABC  Female   \n",
              "\n",
              "                            Email                   Phone Date of birth  \\\n",
              "Index                                                                     \n",
              "1            elijah57@example.net  001-084-906-7849x73518    1945-10-26   \n",
              "16     braunpriscilla@example.net         +1-360-880-0766    2006-02-18   \n",
              "31           jimblake@example.org        001-536-544-3367    1966-04-07   \n",
              "46            molly03@example.org      (746)182-6137x2453    1980-09-16   \n",
              "61          kalvarado@example.org   001-951-655-4798x6124    1944-11-24   \n",
              "76           wongmary@example.org            079-907-5051    1956-11-29   \n",
              "91             zmiles@example.net              3506680871    1941-07-10   \n",
              "\n",
              "                             Job Title One   Full Name Plus  \n",
              "Index                                                        \n",
              "1                      Games developer  하나  Shelby ABC DEFG  \n",
              "16     Sport and exercise psychologist  하나  Thomas ABC DEFG  \n",
              "31                   Food technologist  하나  Isaiah ABC DEFG  \n",
              "46                Commissioning editor  하나   Haley ABC DEFG  \n",
              "61                             Curator  하나   Shari ABC DEFG  \n",
              "76              Race relations officer  하나    Tina ABC DEFG  \n",
              "91                     Patent attorney  하나  Alison ABC DEFG  "
            ],
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              "      <td>(746)182-6137x2453</td>\n",
              "      <td>1980-09-16</td>\n",
              "      <td>Commissioning editor</td>\n",
              "      <td>하나</td>\n",
              "      <td>Haley ABC DEFG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>bB9e49E506F65ed</td>\n",
              "      <td>Shari</td>\n",
              "      <td>ABC</td>\n",
              "      <td>Male</td>\n",
              "      <td>kalvarado@example.org</td>\n",
              "      <td>001-951-655-4798x6124</td>\n",
              "      <td>1944-11-24</td>\n",
              "      <td>Curator</td>\n",
              "      <td>하나</td>\n",
              "      <td>Shari ABC DEFG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>b3e15e65Ca2CcBf</td>\n",
              "      <td>Tina</td>\n",
              "      <td>ABC</td>\n",
              "      <td>Male</td>\n",
              "      <td>wongmary@example.org</td>\n",
              "      <td>079-907-5051</td>\n",
              "      <td>1956-11-29</td>\n",
              "      <td>Race relations officer</td>\n",
              "      <td>하나</td>\n",
              "      <td>Tina ABC DEFG</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>F0aeC9c2759F3C6</td>\n",
              "      <td>Alison</td>\n",
              "      <td>ABC</td>\n",
              "      <td>Female</td>\n",
              "      <td>zmiles@example.net</td>\n",
              "      <td>3506680871</td>\n",
              "      <td>1941-07-10</td>\n",
              "      <td>Patent attorney</td>\n",
              "      <td>하나</td>\n",
              "      <td>Alison ABC DEFG</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7151a8aa-7573-489d-821f-3033050b93ac')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-7151a8aa-7573-489d-821f-3033050b93ac button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-7151a8aa-7573-489d-821f-3033050b93ac');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2eb90834-37d8-44d3-a435-6774d5a5fce2\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2eb90834-37d8-44d3-a435-6774d5a5fce2')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2eb90834-37d8-44d3-a435-6774d5a5fce2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **5. DataFrame 행(row) 조건에 따라 선택하기**\n",
        "\n",
        "---\n",
        "\n",
        "`pd.DataFrame`에서 특정 조건에 맞는 행을 선택하는 방법을 연습합니다. `pd.DataFrame`에서 조건 선택은 `df[conditions]`와 같은 형태를 가집니다. 이 때, `conditions`에는 *boolean* 값을 가지는, 선택의 대상이 될 `pd.DataFrame`과 동일한 길이(len)를 가지는 `pd.Series`가 주어지는데, 이 boolean Series들은 `&`, `|`, `~`을 이용해 조합될 수 있습니다.\n",
        "\n",
        "아래 주어진 예시 셀의 내용과, 아래 링크들의 내용을 참고해서 주어진 문제를 푸세요.\n",
        "\n",
        "---\n",
        "\n",
        "[pd.DataFrame selections](https://pandas.pydata.org/docs/getting_started/intro_tutorials/03_subset_data.html) <br>\n",
        "[pd.DataFrame selection, multiple conditions](https://www.geeksforgeeks.org/filter-pandas-dataframe-with-multiple-conditions/) <br>\n",
        "[pd.Series.isin](https://pandas.pydata.org/docs/reference/api/pandas.Series.isin.html) <br>\n",
        "[pd.Series.str.contains](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.contains.html) <br>\n",
        "[pd.Series.str.startswith](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.startswith.html#pandas.Series.str.startswith)"
      ],
      "metadata": {
        "id": "9JSTP2Thk7go"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 예시 셀 1\n",
        "df_ex = pd.DataFrame([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]])\n",
        "df_ex"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "RM0fupCfRmSz",
        "outputId": "f58557a2-c8d1-4273-ad43-78d97df69ba9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    0   1   2\n",
              "0   1   2   3\n",
              "1   4   5   6\n",
              "2   7   8   9\n",
              "3  10  11  12"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-86582faf-34e9-4c44-b12a-b1fb79bf83cd\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "      <th>1</th>\n",
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              "      <th>0</th>\n",
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              "      <td>3</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>7</td>\n",
              "      <td>8</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>10</td>\n",
              "      <td>11</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-86582faf-34e9-4c44-b12a-b1fb79bf83cd')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-86582faf-34e9-4c44-b12a-b1fb79bf83cd button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-86582faf-34e9-4c44-b12a-b1fb79bf83cd');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-2f0e0db4-b55a-43ae-935c-636b0099ed4f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2f0e0db4-b55a-43ae-935c-636b0099ed4f')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    }\n",
              "    30% {\n",
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              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2f0e0db4-b55a-43ae-935c-636b0099ed4f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 예시 셀 2\n",
        "df_ex[1] > 7"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M0PivL3dTM0v",
        "outputId": "bc5b8add-4743-4040-b0a8-7864aa98b8ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    False\n",
              "1    False\n",
              "2     True\n",
              "3     True\n",
              "Name: 1, dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 예시 셀 3\n",
        "df_ex[2] < 12"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9R6eKf-rTS6e",
        "outputId": "89fb4dfb-b452-4665-d8d2-459d920cd20c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0     True\n",
              "1     True\n",
              "2     True\n",
              "3    False\n",
              "Name: 2, dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 예시 셀 4\n",
        "(df_ex[1] > 7) & (df_ex[2] < 12)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yncycig0TbKS",
        "outputId": "5d334914-f755-4e50-99fe-5e5f9305172d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    False\n",
              "1    False\n",
              "2     True\n",
              "3    False\n",
              "dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 예시 셀 5\n",
        "df_ex[(df_ex[1] > 7) & (df_ex[2] < 12)]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "J3PHQRWuS39E",
        "outputId": "c4d3c20c-75ce-4367-8d44-5b9061a1ae1a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   0  1  2\n",
              "2  7  8  9"
            ],
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              "\n",
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              "      <th>0</th>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "            style=\"display:none;\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d8cd6a6c-b53d-489a-b15b-d81fbdac1afc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d8cd6a6c-b53d-489a-b15b-d81fbdac1afc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5번 문제에서 사용될 DataFrame입니다.\n",
        "df_titanic = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\")\n",
        "df_titanic.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "2SPxKMigNQF5",
        "outputId": "f1633bbe-3940-48f6-e9f4-0627204e50fc"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   PassengerId  Survived  Pclass  \\\n",
              "0            1         0       3   \n",
              "1            2         1       1   \n",
              "2            3         1       3   \n",
              "3            4         1       1   \n",
              "4            5         0       3   \n",
              "\n",
              "                                                Name     Sex   Age  SibSp  \\\n",
              "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
              "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
              "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
              "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
              "4                           Allen, Mr. William Henry    male  35.0      0   \n",
              "\n",
              "   Parch            Ticket     Fare Cabin Embarked  \n",
              "0      0         A/5 21171   7.2500   NaN        S  \n",
              "1      0          PC 17599  71.2833   C85        C  \n",
              "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
              "3      0            113803  53.1000  C123        S  \n",
              "4      0            373450   8.0500   NaN        S  "
            ],
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              "\n",
              "  <div id=\"df-654c3f05-9ce6-4332-ae99-d1869f123ebc\" class=\"colab-df-container\">\n",
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              "      background-color: #434B5C;\n",
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              "                                                    [key], {});\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8261159f-b428-41cd-a94e-687e6e9990ad button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5-1. df_titanic에서 Age가 35인 row를 선택하세요.\n",
        "df_titanic[df_titanic['Age'] == 35]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "1H0h0khMk74D",
        "outputId": "dd2dcd06-c9dc-4c20-bc9e-effa7c8563e1"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     PassengerId  Survived  Pclass  \\\n",
              "3              4         1       1   \n",
              "4              5         0       3   \n",
              "20            21         0       2   \n",
              "211          212         1       2   \n",
              "230          231         1       1   \n",
              "258          259         1       1   \n",
              "269          270         1       1   \n",
              "279          280         1       3   \n",
              "363          364         0       3   \n",
              "383          384         1       1   \n",
              "486          487         1       1   \n",
              "590          591         0       3   \n",
              "604          605         1       1   \n",
              "614          615         0       3   \n",
              "701          702         1       1   \n",
              "737          738         1       1   \n",
              "812          813         0       2   \n",
              "847          848         0       3   \n",
              "\n",
              "                                                  Name     Sex   Age  SibSp  \\\n",
              "3         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
              "4                             Allen, Mr. William Henry    male  35.0      0   \n",
              "20                                Fynney, Mr. Joseph J    male  35.0      0   \n",
              "211                         Cameron, Miss. Clear Annie  female  35.0      0   \n",
              "230       Harris, Mrs. Henry Birkhardt (Irene Wallach)  female  35.0      1   \n",
              "258                                   Ward, Miss. Anna  female  35.0      0   \n",
              "269                             Bissette, Miss. Amelia  female  35.0      0   \n",
              "279                   Abbott, Mrs. Stanton (Rosa Hunt)  female  35.0      1   \n",
              "363                                    Asim, Mr. Adola    male  35.0      0   \n",
              "383  Holverson, Mrs. Alexander Oskar (Mary Aline To...  female  35.0      1   \n",
              "486    Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)  female  35.0      1   \n",
              "590                               Rintamaki, Mr. Matti    male  35.0      0   \n",
              "604                    Homer, Mr. Harry (\"Mr E Haven\")    male  35.0      0   \n",
              "614                    Brocklebank, Mr. William Alfred    male  35.0      0   \n",
              "701                   Silverthorne, Mr. Spencer Victor    male  35.0      0   \n",
              "737                             Lesurer, Mr. Gustave J    male  35.0      0   \n",
              "812                          Slemen, Mr. Richard James    male  35.0      0   \n",
              "847                                 Markoff, Mr. Marin    male  35.0      0   \n",
              "\n",
              "     Parch              Ticket      Fare Cabin Embarked  \n",
              "3        0              113803   53.1000  C123        S  \n",
              "4        0              373450    8.0500   NaN        S  \n",
              "20       0              239865   26.0000   NaN        S  \n",
              "211      0        F.C.C. 13528   21.0000   NaN        S  \n",
              "230      0               36973   83.4750   C83        S  \n",
              "258      0            PC 17755  512.3292   NaN        C  \n",
              "269      0            PC 17760  135.6333   C99        S  \n",
              "279      1           C.A. 2673   20.2500   NaN        S  \n",
              "363      0  SOTON/O.Q. 3101310    7.0500   NaN        S  \n",
              "383      0              113789   52.0000   NaN        S  \n",
              "486      0               19943   90.0000   C93        S  \n",
              "590      0   STON/O 2. 3101273    7.1250   NaN        S  \n",
              "604      0              111426   26.5500   NaN        C  \n",
              "614      0              364512    8.0500   NaN        S  \n",
              "701      0            PC 17475   26.2875   E24        S  \n",
              "737      0            PC 17755  512.3292  B101        C  \n",
              "812      0               28206   10.5000   NaN        S  \n",
              "847      0              349213    7.8958   NaN        C  "
            ],
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              "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
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              "      <td>35.0</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
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              "      <td>83.4750</td>\n",
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              "      <td>259</td>\n",
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              "      <td>Lesurer, Mr. Gustave J</td>\n",
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              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a9b33eb7-f0d9-4c53-bc2a-e25ab63b1ed1 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a9b33eb7-f0d9-4c53-bc2a-e25ab63b1ed1');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7d7b1e19-4fa7-4709-a11b-cdc32284d4ad')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7d7b1e19-4fa7-4709-a11b-cdc32284d4ad button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5-2. df_titanic에서 Age가 35보다 작은 row를 선택하세요.\n",
        "df_titanic[df_titanic['Age'] < 35]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "2o3KizgbNwhi",
        "outputId": "5fddfe38-8acd-4f90-dc83-053bc1d32afa"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     PassengerId  Survived  Pclass  \\\n",
              "0              1         0       3   \n",
              "2              3         1       3   \n",
              "7              8         0       3   \n",
              "8              9         1       3   \n",
              "9             10         1       2   \n",
              "..           ...       ...     ...   \n",
              "884          885         0       3   \n",
              "886          887         0       2   \n",
              "887          888         1       1   \n",
              "889          890         1       1   \n",
              "890          891         0       3   \n",
              "\n",
              "                                                  Name     Sex   Age  SibSp  \\\n",
              "0                              Braund, Mr. Owen Harris    male  22.0      1   \n",
              "2                               Heikkinen, Miss. Laina  female  26.0      0   \n",
              "7                       Palsson, Master. Gosta Leonard    male   2.0      3   \n",
              "8    Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)  female  27.0      0   \n",
              "9                  Nasser, Mrs. Nicholas (Adele Achem)  female  14.0      1   \n",
              "..                                                 ...     ...   ...    ...   \n",
              "884                             Sutehall, Mr. Henry Jr    male  25.0      0   \n",
              "886                              Montvila, Rev. Juozas    male  27.0      0   \n",
              "887                       Graham, Miss. Margaret Edith  female  19.0      0   \n",
              "889                              Behr, Mr. Karl Howell    male  26.0      0   \n",
              "890                                Dooley, Mr. Patrick    male  32.0      0   \n",
              "\n",
              "     Parch            Ticket     Fare Cabin Embarked  \n",
              "0        0         A/5 21171   7.2500   NaN        S  \n",
              "2        0  STON/O2. 3101282   7.9250   NaN        S  \n",
              "7        1            349909  21.0750   NaN        S  \n",
              "8        2            347742  11.1333   NaN        S  \n",
              "9        0            237736  30.0708   NaN        C  \n",
              "..     ...               ...      ...   ...      ...  \n",
              "884      0   SOTON/OQ 392076   7.0500   NaN        S  \n",
              "886      0            211536  13.0000   NaN        S  \n",
              "887      0            112053  30.0000   B42        S  \n",
              "889      0            111369  30.0000  C148        C  \n",
              "890      0            370376   7.7500   NaN        Q  \n",
              "\n",
              "[479 rows x 12 columns]"
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              "      <td>Behr, Mr. Karl Howell</td>\n",
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              "      <td>7.7500</td>\n",
              "      <td>NaN</td>\n",
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              "  </tbody>\n",
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              "<p>479 rows × 12 columns</p>\n",
              "</div>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
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              "      buttonEl.style.display =\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3bcedd24-4bed-4768-a140-b6a6fc6b7e9b');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ee268562-0ecf-407a-a8a9-588e5051f241')\"\n",
              "            title=\"Suggest charts.\"\n",
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              "\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "    border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ee268562-0ecf-407a-a8a9-588e5051f241 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5-3. df_titanic에서 Age가 35보다 크고, 50보다 작은 row를 선택하세요.\n",
        "df_titanic[(35 < df_titanic['Age']) & (df_titanic['Age'] < 50)]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "-YSWw4W6N50C",
        "outputId": "543b84bf-803e-44fb-c7ed-5be09395897f"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     PassengerId  Survived  Pclass  \\\n",
              "1              2         1       1   \n",
              "13            14         0       3   \n",
              "25            26         1       3   \n",
              "30            31         0       1   \n",
              "35            36         0       1   \n",
              "..           ...       ...     ...   \n",
              "862          863         1       1   \n",
              "865          866         1       2   \n",
              "871          872         1       1   \n",
              "873          874         0       3   \n",
              "885          886         0       3   \n",
              "\n",
              "                                                  Name     Sex   Age  SibSp  \\\n",
              "1    Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
              "13                         Andersson, Mr. Anders Johan    male  39.0      1   \n",
              "25   Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...  female  38.0      1   \n",
              "30                            Uruchurtu, Don. Manuel E    male  40.0      0   \n",
              "35                      Holverson, Mr. Alexander Oskar    male  42.0      1   \n",
              "..                                                 ...     ...   ...    ...   \n",
              "862  Swift, Mrs. Frederick Joel (Margaret Welles Ba...  female  48.0      0   \n",
              "865                           Bystrom, Mrs. (Karolina)  female  42.0      0   \n",
              "871   Beckwith, Mrs. Richard Leonard (Sallie Monypeny)  female  47.0      1   \n",
              "873                        Vander Cruyssen, Mr. Victor    male  47.0      0   \n",
              "885               Rice, Mrs. William (Margaret Norton)  female  39.0      0   \n",
              "\n",
              "     Parch    Ticket     Fare Cabin Embarked  \n",
              "1        0  PC 17599  71.2833   C85        C  \n",
              "13       5    347082  31.2750   NaN        S  \n",
              "25       5    347077  31.3875   NaN        S  \n",
              "30       0  PC 17601  27.7208   NaN        C  \n",
              "35       0    113789  52.0000   NaN        S  \n",
              "..     ...       ...      ...   ...      ...  \n",
              "862      0     17466  25.9292   D17        S  \n",
              "865      0    236852  13.0000   NaN        S  \n",
              "871      1     11751  52.5542   D35        S  \n",
              "873      0    345765   9.0000   NaN        S  \n",
              "885      5    382652  29.1250   NaN        Q  \n",
              "\n",
              "[143 rows x 12 columns]"
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              "      <td>42.0</td>\n",
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              "<p>143 rows × 12 columns</p>\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
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              "        dataTable['output_type'] = 'display_data';\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a1b1d2c8-ba63-48db-a5bc-1a1d2ea3aeff button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5-4. df_titanic에서 \"Name\"에 \"Fred\"을 포함하는 row를 선택하세요.\n",
        "df_titanic[df_titanic['Name'].str.contains('Fred')]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "KR2wUduuOW8R",
        "outputId": "622df113-cae1-437f-f5e8-39d426c3a0dc"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     PassengerId  Survived  Pclass  \\\n",
              "59            60         0       3   \n",
              "201          202         0       3   \n",
              "224          225         1       1   \n",
              "238          239         0       2   \n",
              "319          320         1       1   \n",
              "343          344         0       2   \n",
              "447          448         1       1   \n",
              "457          458         1       1   \n",
              "486          487         1       1   \n",
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              "506          507         1       2   \n",
              "625          626         0       1   \n",
              "676          677         0       3   \n",
              "678          679         0       3   \n",
              "818          819         0       3   \n",
              "861          862         0       2   \n",
              "862          863         1       1   \n",
              "883          884         0       2   \n",
              "\n",
              "                                                  Name     Sex   Age  SibSp  \\\n",
              "59                  Goodwin, Master. William Frederick    male  11.0      5   \n",
              "201                                Sage, Mr. Frederick    male   NaN      8   \n",
              "224                       Hoyt, Mr. Frederick Maxfield    male  38.0      1   \n",
              "238                    Pengelly, Mr. Frederick William    male  19.0      0   \n",
              "319  Spedden, Mrs. Frederic Oakley (Margaretta Corn...  female  40.0      1   \n",
              "343         Sedgwick, Mr. Charles Frederick Waddington    male  25.0      0   \n",
              "447                        Seward, Mr. Frederic Kimber    male  34.0      0   \n",
              "457                  Kenyon, Mrs. Frederick R (Marion)  female   NaN      1   \n",
              "486    Hoyt, Mrs. Frederick Maxfield (Jane Anne Forby)  female  35.0      1   \n",
              "497                    Shellard, Mr. Frederick William    male   NaN      0   \n",
              "506      Quick, Mrs. Frederick Charles (Jane Richards)  female  33.0      0   \n",
              "625                              Sutton, Mr. Frederick    male  61.0      0   \n",
              "676                      Sawyer, Mr. Frederick Charles    male  24.5      0   \n",
              "678            Goodwin, Mrs. Frederick (Augusta Tyler)  female  43.0      1   \n",
              "818                   Holm, Mr. John Fredrik Alexander    male  43.0      0   \n",
              "861                        Giles, Mr. Frederick Edward    male  21.0      1   \n",
              "862  Swift, Mrs. Frederick Joel (Margaret Welles Ba...  female  48.0      0   \n",
              "883                      Banfield, Mr. Frederick James    male  28.0      0   \n",
              "\n",
              "     Parch            Ticket      Fare Cabin Embarked  \n",
              "59       2           CA 2144   46.9000   NaN        S  \n",
              "201      2          CA. 2343   69.5500   NaN        S  \n",
              "224      0             19943   90.0000   C93        S  \n",
              "238      0             28665   10.5000   NaN        S  \n",
              "319      1             16966  134.5000   E34        C  \n",
              "343      0            244361   13.0000   NaN        S  \n",
              "447      0            113794   26.5500   NaN        S  \n",
              "457      0             17464   51.8625   D21        S  \n",
              "486      0             19943   90.0000   C93        S  \n",
              "497      0         C.A. 6212   15.1000   NaN        S  \n",
              "506      2             26360   26.0000   NaN        S  \n",
              "625      0             36963   32.3208   D50        S  \n",
              "676      0            342826    8.0500   NaN        S  \n",
              "678      6           CA 2144   46.9000   NaN        S  \n",
              "818      0            C 7075    6.4500   NaN        S  \n",
              "861      0             28134   11.5000   NaN        S  \n",
              "862      0             17466   25.9292   D17        S  \n",
              "883      0  C.A./SOTON 34068   10.5000   NaN        S  "
            ],
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-fec8026b-fa31-4691-8967-a2c3b31063b4 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-fec8026b-fa31-4691-8967-a2c3b31063b4');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ad77ca99-17eb-4a44-96e0-fb5f84a185a0\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ad77ca99-17eb-4a44-96e0-fb5f84a185a0')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ad77ca99-17eb-4a44-96e0-fb5f84a185a0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5-5. df_titanic에서 \"Pclass\"가 1 혹은 3이면서, 이름이 \"Ga\" 혹은 \"Ke\"로 시작되는 row를 선택하세요.\n",
        "df_titanic[df_titanic['Pclass'].isin([1, 3]) & df_titanic['Name'].str.startswith(('Ga', 'Ke'))]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 331
        },
        "id": "xBCNaJMuPRWv",
        "outputId": "e5b60c62-462d-45d1-e36a-10e5c7653e6a"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     PassengerId  Survived  Pclass                                      Name  \\\n",
              "300          301         1       3  Kelly, Miss. Anna Katherine \"Annie Kate\"   \n",
              "457          458         1       1         Kenyon, Mrs. Frederick R (Marion)   \n",
              "470          471         0       3                         Keefe, Mr. Arthur   \n",
              "487          488         0       1                   Kent, Mr. Edward Austin   \n",
              "573          574         1       3                         Kelly, Miss. Mary   \n",
              "696          697         0       3                          Kelly, Mr. James   \n",
              "703          704         0       3                     Gallagher, Mr. Martin   \n",
              "760          761         0       3                        Garfirth, Mr. John   \n",
              "790          791         0       3                  Keane, Mr. Andrew \"Andy\"   \n",
              "\n",
              "        Sex   Age  SibSp  Parch  Ticket     Fare Cabin Embarked  \n",
              "300  female   NaN      0      0    9234   7.7500   NaN        Q  \n",
              "457  female   NaN      1      0   17464  51.8625   D21        S  \n",
              "470    male   NaN      0      0  323592   7.2500   NaN        S  \n",
              "487    male  58.0      0      0   11771  29.7000   B37        C  \n",
              "573  female   NaN      0      0   14312   7.7500   NaN        Q  \n",
              "696    male  44.0      0      0  363592   8.0500   NaN        S  \n",
              "703    male  25.0      0      0   36864   7.7417   NaN        Q  \n",
              "760    male   NaN      0      0  358585  14.5000   NaN        S  \n",
              "790    male   NaN      0      0   12460   7.7500   NaN        Q  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-31f10db2-024c-4fc9-a01b-aec7877c828d\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "\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>PassengerId</th>\n",
              "      <th>Survived</th>\n",
              "      <th>Pclass</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
              "      <th>Age</th>\n",
              "      <th>SibSp</th>\n",
              "      <th>Parch</th>\n",
              "      <th>Ticket</th>\n",
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              "      <th>Cabin</th>\n",
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              "    <tr>\n",
              "      <th>300</th>\n",
              "      <td>301</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>Kelly, Miss. Anna Katherine \"Annie Kate\"</td>\n",
              "      <td>female</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>9234</td>\n",
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              "      <td>NaN</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>457</th>\n",
              "      <td>458</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Kenyon, Mrs. Frederick R (Marion)</td>\n",
              "      <td>female</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>17464</td>\n",
              "      <td>51.8625</td>\n",
              "      <td>D21</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>470</th>\n",
              "      <td>471</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Keefe, Mr. Arthur</td>\n",
              "      <td>male</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>323592</td>\n",
              "      <td>7.2500</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>487</th>\n",
              "      <td>488</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Kent, Mr. Edward Austin</td>\n",
              "      <td>male</td>\n",
              "      <td>58.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>11771</td>\n",
              "      <td>29.7000</td>\n",
              "      <td>B37</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>573</th>\n",
              "      <td>574</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>Kelly, Miss. Mary</td>\n",
              "      <td>female</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14312</td>\n",
              "      <td>7.7500</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Q</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>696</th>\n",
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              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Kelly, Mr. James</td>\n",
              "      <td>male</td>\n",
              "      <td>44.0</td>\n",
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              "      <td>0</td>\n",
              "      <td>363592</td>\n",
              "      <td>8.0500</td>\n",
              "      <td>NaN</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>703</th>\n",
              "      <td>704</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Gallagher, Mr. Martin</td>\n",
              "      <td>male</td>\n",
              "      <td>25.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>36864</td>\n",
              "      <td>7.7417</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Q</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>760</th>\n",
              "      <td>761</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Garfirth, Mr. John</td>\n",
              "      <td>male</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>358585</td>\n",
              "      <td>14.5000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>790</th>\n",
              "      <td>791</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Keane, Mr. Andrew \"Andy\"</td>\n",
              "      <td>male</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>12460</td>\n",
              "      <td>7.7500</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Q</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-31f10db2-024c-4fc9-a01b-aec7877c828d')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-31f10db2-024c-4fc9-a01b-aec7877c828d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-31f10db2-024c-4fc9-a01b-aec7877c828d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-6e511513-c694-40e9-9d0b-5fcbea9da9a8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-6e511513-c694-40e9-9d0b-5fcbea9da9a8')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6e511513-c694-40e9-9d0b-5fcbea9da9a8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    }
  ]
}