데이터분석_2일차_워크샵(tips).ipynb

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        "<a href=\"https://colab.research.google.com/github/younghoonNa/pythonDT/blob/main/%EB%8D%B0%EC%9D%B4%ED%84%B0%EB%B6%84%EC%84%9D_2%EC%9D%BC%EC%B0%A8_%EC%9B%8C%ED%81%AC%EC%83%B5(tips).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    },
    {
      "cell_type": "code",
      "source": [
        "!wget http://49.247.133.7/tips1.csv"
      ],
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        "id": "2odLgrWuw-F0",
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          "base_uri": "https://localhost:8080/"
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      },
      "execution_count": null,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "--2021-12-28 03:03:10--  http://49.247.133.7/tips1.csv\n",
            "Connecting to 49.247.133.7:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 8021 (7.8K) [text/csv]\n",
            "Saving to: ‘tips1.csv.5’\n",
            "\n",
            "tips1.csv.5         100%[===================>]   7.83K  --.-KB/s    in 0s      \n",
            "\n",
            "2021-12-28 03:03:10 (730 MB/s) - ‘tips1.csv.5’ saved [8021/8021]\n",
            "\n"
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AhpjXf7rw3BE"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd"
      ]
    },
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            "text/plain": [
              "     total_bill   tip     sex smoker   day    time  size\n",
              "0         16.99  1.01  Female     No   Sun  Dinner   2.0\n",
              "1         10.34  1.66    Male     No   Sun  Dinner   3.0\n",
              "2         21.01  3.50    Male     No   Sun  Dinner   3.0\n",
              "3         23.68  3.31    Male     No   Sun  Dinner   2.0\n",
              "4         24.59  3.61  Female     No   Sun  Dinner   4.0\n",
              "..          ...   ...     ...    ...   ...     ...   ...\n",
              "240       27.18  2.00  Female    Yes   Sat  Dinner   2.0\n",
              "241       22.67  2.00    Male    Yes   Sat  Dinner   2.0\n",
              "242       17.82  1.75    Male     No   Sat  Dinner   2.0\n",
              "243       18.78  3.00  Female     No  Thur  Dinner   2.0\n",
              "244       25.34   NaN     NaN    NaN   NaN     NaN   NaN\n",
              "\n",
              "[245 rows x 7 columns]"
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          },
          "metadata": {},
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      ],
      "source": [
        "#해당 파일을 읽어 df를 생성하세요(tips1.csv)\n",
        "tips = pd.read_csv('tips1.csv')\n",
        "tips"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        "outputId": "d3c89cec-f22c-4ef8-c516-68e1cd0b150a",
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      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2"
            ]
          },
          "metadata": {},
          "execution_count": 122
        }
      ],
      "source": [
        "#tipdf의 차원을 조회하세요. (ndim 속성 이용\n",
        "tips.ndim"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "id": "WprynB61w3BJ",
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          "data": {
            "text/plain": [
              "(245, 8)"
            ]
          },
          "metadata": {},
          "execution_count": 132
        }
      ],
      "source": [
        "#tipdf의 크기를 조회하세요. (shape 속성 이용) \n",
        "tips.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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              "     total_bill   tip     sex smoker   day    time  size\n",
              "242       17.82  1.75    Male     No   Sat  Dinner   2.0\n",
              "243       18.78  3.00  Female     No  Thur  Dinner   2.0\n",
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      ],
      "source": [
        "#맨 마지막 데이터 3개을 조회하세요\n",
        "tips.tail(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_twVc6O5w3BL",
        "outputId": "1223607a-2a69-471d-cac9-e05bcbfc6661",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-2a453171-2af2-417d-9f09-a44362cbcc92\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "    }\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total_bill</th>\n",
              "      <th>tip</th>\n",
              "      <th>size</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>245.000000</td>\n",
              "      <td>244.000000</td>\n",
              "      <td>244.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>19.808612</td>\n",
              "      <td>2.998279</td>\n",
              "      <td>2.569672</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>8.891234</td>\n",
              "      <td>1.383638</td>\n",
              "      <td>0.951100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>3.070000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>13.370000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>17.810000</td>\n",
              "      <td>2.900000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>24.270000</td>\n",
              "      <td>3.562500</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>50.810000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2a453171-2af2-417d-9f09-a44362cbcc92')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\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-2a453171-2af2-417d-9f09-a44362cbcc92 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-2a453171-2af2-417d-9f09-a44362cbcc92');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       total_bill         tip        size\n",
              "count  245.000000  244.000000  244.000000\n",
              "mean    19.808612    2.998279    2.569672\n",
              "std      8.891234    1.383638    0.951100\n",
              "min      3.070000    1.000000    1.000000\n",
              "25%     13.370000    2.000000    2.000000\n",
              "50%     17.810000    2.900000    2.000000\n",
              "75%     24.270000    3.562500    3.000000\n",
              "max     50.810000   10.000000    6.000000"
            ]
          },
          "metadata": {},
          "execution_count": 125
        }
      ],
      "source": [
        "#df의 정보를 조회하세요\n",
        "tips.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "4ypmaSZKw3BL",
        "outputId": "f1c5f9ed-b9e2-4864-c39a-23dcc1a89eeb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-143818a4-cf3f-46f1-afb2-3557c91c76b1\">\n",
              "    <div 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>total_bill</th>\n",
              "      <th>tip</th>\n",
              "      <th>sex</th>\n",
              "      <th>smoker</th>\n",
              "      <th>day</th>\n",
              "      <th>time</th>\n",
              "      <th>size</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>50.81</td>\n",
              "      <td>10.00</td>\n",
              "      <td>Male</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>212</th>\n",
              "      <td>48.33</td>\n",
              "      <td>9.00</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>39.42</td>\n",
              "      <td>7.58</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-143818a4-cf3f-46f1-afb2-3557c91c76b1')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
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              "\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-143818a4-cf3f-46f1-afb2-3557c91c76b1 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-143818a4-cf3f-46f1-afb2-3557c91c76b1');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     total_bill    tip   sex smoker  day    time  size\n",
              "170       50.81  10.00  Male    Yes  Sat  Dinner   3.0\n",
              "212       48.33   9.00  Male     No  Sat  Dinner   4.0\n",
              "23        39.42   7.58  Male     No  Sat  Dinner   4.0"
            ]
          },
          "metadata": {},
          "execution_count": 126
        }
      ],
      "source": [
        "#가장 팁이 높은 데이터 3개의 정보를 구하세요\n",
        "tips.sort_values(by='tip', ascending=False).head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "id": "SckwIISow3BM",
        "outputId": "dba832db-3ae5-4485-a508-ac30444ddcf4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-17a1ca8e-806a-487f-81e3-60d9209d0974\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "<style scoped>\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total_bill</th>\n",
              "      <th>tip</th>\n",
              "      <th>sex</th>\n",
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              "      <th>time</th>\n",
              "      <th>size</th>\n",
              "      <th>tips_pct</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>16.99</td>\n",
              "      <td>1.01</td>\n",
              "      <td>Female</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.059447</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10.34</td>\n",
              "      <td>1.66</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.160542</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>21.01</td>\n",
              "      <td>3.50</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>3.0</td>\n",
              "      <td>0.166587</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>23.68</td>\n",
              "      <td>3.31</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.139780</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>24.59</td>\n",
              "      <td>3.61</td>\n",
              "      <td>Female</td>\n",
              "      <td>No</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.146808</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>240</th>\n",
              "      <td>27.18</td>\n",
              "      <td>2.00</td>\n",
              "      <td>Female</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.073584</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>241</th>\n",
              "      <td>22.67</td>\n",
              "      <td>2.00</td>\n",
              "      <td>Male</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.088222</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>242</th>\n",
              "      <td>17.82</td>\n",
              "      <td>1.75</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.098204</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>243</th>\n",
              "      <td>18.78</td>\n",
              "      <td>3.00</td>\n",
              "      <td>Female</td>\n",
              "      <td>No</td>\n",
              "      <td>Thur</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.159744</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>244</th>\n",
              "      <td>25.34</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>245 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-17a1ca8e-806a-487f-81e3-60d9209d0974')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
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              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-17a1ca8e-806a-487f-81e3-60d9209d0974 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-17a1ca8e-806a-487f-81e3-60d9209d0974');\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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     total_bill   tip     sex smoker   day    time  size  tips_pct\n",
              "0         16.99  1.01  Female     No   Sun  Dinner   2.0  0.059447\n",
              "1         10.34  1.66    Male     No   Sun  Dinner   3.0  0.160542\n",
              "2         21.01  3.50    Male     No   Sun  Dinner   3.0  0.166587\n",
              "3         23.68  3.31    Male     No   Sun  Dinner   2.0  0.139780\n",
              "4         24.59  3.61  Female     No   Sun  Dinner   4.0  0.146808\n",
              "..          ...   ...     ...    ...   ...     ...   ...       ...\n",
              "240       27.18  2.00  Female    Yes   Sat  Dinner   2.0  0.073584\n",
              "241       22.67  2.00    Male    Yes   Sat  Dinner   2.0  0.088222\n",
              "242       17.82  1.75    Male     No   Sat  Dinner   2.0  0.098204\n",
              "243       18.78  3.00  Female     No  Thur  Dinner   2.0  0.159744\n",
              "244       25.34   NaN     NaN    NaN   NaN     NaN   NaN       NaN\n",
              "\n",
              "[245 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 127
        }
      ],
      "source": [
        "#tips_pct를 구해서 tipdf에 새로운 컬럼명으로 추가하세요 \n",
        "tips.loc[: ,'tips_pct'] = tips.loc[:, 'tip'] / tips.loc[:, 'total_bill']\n",
        "tips"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "wPDihAHpw3BM",
        "outputId": "4cdf9e79-d439-467d-aa56-b12faa1290e0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        }
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-b7864f6e-a190-46eb-928e-62a8036afef9\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total_bill</th>\n",
              "      <th>tip</th>\n",
              "      <th>sex</th>\n",
              "      <th>smoker</th>\n",
              "      <th>day</th>\n",
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              "      <th>tips_pct</th>\n",
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              "    <tr>\n",
              "      <th>172</th>\n",
              "      <td>7.25</td>\n",
              "      <td>5.15</td>\n",
              "      <td>Male</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.710345</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>178</th>\n",
              "      <td>9.60</td>\n",
              "      <td>4.00</td>\n",
              "      <td>Female</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.416667</td>\n",
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              "    <tr>\n",
              "      <th>67</th>\n",
              "      <td>3.07</td>\n",
              "      <td>1.00</td>\n",
              "      <td>Female</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.325733</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>232</th>\n",
              "      <td>11.61</td>\n",
              "      <td>3.39</td>\n",
              "      <td>Male</td>\n",
              "      <td>No</td>\n",
              "      <td>Sat</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.291990</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>183</th>\n",
              "      <td>23.17</td>\n",
              "      <td>6.50</td>\n",
              "      <td>Male</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Sun</td>\n",
              "      <td>Dinner</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.280535</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b7864f6e-a190-46eb-928e-62a8036afef9')\"\n",
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              "              style=\"display:none;\">\n",
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              "  </svg>\n",
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              "\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-b7864f6e-a190-46eb-928e-62a8036afef9 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b7864f6e-a190-46eb-928e-62a8036afef9');\n",
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              "            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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     total_bill   tip     sex smoker  day    time  size  tips_pct\n",
              "172        7.25  5.15    Male    Yes  Sun  Dinner   2.0  0.710345\n",
              "178        9.60  4.00  Female    Yes  Sun  Dinner   2.0  0.416667\n",
              "67         3.07  1.00  Female    Yes  Sat  Dinner   1.0  0.325733\n",
              "232       11.61  3.39    Male     No  Sat  Dinner   2.0  0.291990\n",
              "183       23.17  6.50    Male    Yes  Sun  Dinner   4.0  0.280535"
            ]
          },
          "metadata": {},
          "execution_count": 133
        }
      ],
      "source": [
        "# 팁 비율이 높은 \n",
        "# 상위 5개의 정보를 출력하세요.\n",
        "tips.sort_values('tips_pct', ascending=False).head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IRJE1MDqw3BM",
        "outputId": "08c373ca-b622-465f-b7a8-c64b82e9ca73",
        "colab": {
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          "height": 206
        }
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      "outputs": [
        {
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          "data": {
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              "      <td>44.30</td>\n",
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              "          const element = document.querySelector('#df-5c418261-5e50-49d7-970d-9a3da7d66d33');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     total_bill   tip     sex smoker  day    time  size  tips_pct\n",
              "237       32.83  1.17    Male    Yes  Sat  Dinner   2.0  0.035638\n",
              "102       44.30  2.50  Female    Yes  Sat  Dinner   3.0  0.056433\n",
              "57        26.41  1.50  Female     No  Sat  Dinner   2.0  0.056797\n",
              "0         16.99  1.01  Female     No  Sun  Dinner   2.0  0.059447\n",
              "187       30.46  2.00    Male    Yes  Sun  Dinner   5.0  0.065660"
            ]
          },
          "metadata": {},
          "execution_count": 134
        }
      ],
      "source": [
        "# 팁 비율이 낮은 \n",
        "# 상위 5개의 정보를 출력하세요.\n",
        "tips.sort_values('tips_pct', ascending=True).head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9UVz6NdGw3BN",
        "outputId": "cc4698e6-884e-4544-cf38-d3c6985c755e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Male      60\n",
              "Female    33\n",
              "Name: sex, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 130
        }
      ],
      "source": [
        "# smoker 컬럼의 값이 Yes인 데이터를 추출하고 \n",
        "# 추출된 데이터 프레임에서 성별 컬럼의 고유값별로 데이터 개수를 Count 하세요.\n",
        "tips.loc[tips['smoker'] == 'Yes', 'sex'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IMAhZegjw3BO",
        "outputId": "55c5173a-acac-444a-b043-d445096a021f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Sat     87\n",
              "Sun     76\n",
              "Fri     12\n",
              "Thur     1\n",
              "Name: day, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 131
        }
      ],
      "source": [
        "# time 컬럼의 값이 Dinner인 데이터를 추출하고 \n",
        "# 추출된 데이터 프레임에서 day 컬럼의 고유값별로 데이터 개수를 Count 하세요.\n",
        "tips.loc[tips['time'] == 'Dinner', 'day'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "pG6Xiq5x8c-9"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.3"
    },
    "colab": {
      "name": "데이터분석 2일차_워크샵(tips).ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}