데이터분석_3주차_아파트_실거래가_분석_II(나영훈).ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/younghoonNa/pythonDT/blob/main/3%EC%A3%BC%EC%B0%A8_%EB%8D%B0%EC%9D%B4%ED%84%B0%EB%B6%84%EC%84%9D_%EC%95%84%ED%8C%8C%ED%8A%B8_%EC%8B%A4%EA%B1%B0%EB%9E%98%EA%B0%80_%EB%B6%84%EC%84%9D_II(%EB%82%98%EC%98%81%ED%9B%88).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!sudo apt-get install -y fonts-nanum\n",
        "!sudo fc-cache -fv\n",
        "!rm ~/.cache/matplotlib -rf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W-YIwC2RUb2u",
        "outputId": "155b67f4-17c2-4e4e-85a6-232a59617703"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "fonts-nanum is already the newest version (20170925-1).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 37 not upgraded.\n",
            "/usr/share/fonts: caching, new cache contents: 0 fonts, 1 dirs\n",
            "/usr/share/fonts/truetype: caching, new cache contents: 0 fonts, 3 dirs\n",
            "/usr/share/fonts/truetype/humor-sans: caching, new cache contents: 1 fonts, 0 dirs\n",
            "/usr/share/fonts/truetype/liberation: caching, new cache contents: 16 fonts, 0 dirs\n",
            "/usr/share/fonts/truetype/nanum: caching, new cache contents: 10 fonts, 0 dirs\n",
            "/usr/local/share/fonts: caching, new cache contents: 0 fonts, 0 dirs\n",
            "/root/.local/share/fonts: skipping, no such directory\n",
            "/root/.fonts: skipping, no such directory\n",
            "/var/cache/fontconfig: cleaning cache directory\n",
            "/root/.cache/fontconfig: not cleaning non-existent cache directory\n",
            "/root/.fontconfig: not cleaning non-existent cache directory\n",
            "fc-cache: succeeded\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " !wget http://49.247.133.7/2020-seoul-apt-price-merge.csv"
      ],
      "metadata": {
        "id": "8MCk7xyLJ8kX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "228449df-2075-4c77-d635-da555f8baa44"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2021-12-30 02:32:12--  http://49.247.133.7/2020-seoul-apt-price-merge.csv\n",
            "Connecting to 49.247.133.7:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 8483699 (8.1M) [text/csv]\n",
            "Saving to: ‘2020-seoul-apt-price-merge.csv.1’\n",
            "\n",
            "2020-seoul-apt-pric 100%[===================>]   8.09M  19.4MB/s    in 0.4s    \n",
            "\n",
            "2021-12-30 02:32:12 (19.4 MB/s) - ‘2020-seoul-apt-price-merge.csv.1’ saved [8483699/8483699]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A3Sb_UNuhQ8c"
      },
      "source": [
        "# 데이터 시각화"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "JzWRpGz9voSv"
      },
      "outputs": [],
      "source": [
        "# 모듈 import\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "%matplotlib inline\n",
        "plt.rc('font', family='NanumBarunGothic') "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#visualization\n",
        "import matplotlib as mpl\n",
        "import matplotlib.pylab as plb\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# 브라우저에서 바로 그려지도록 \n",
        "%matplotlib inline\n",
        "\n",
        "# 그래프에 retina display 적용\n",
        "%config InlineBackend.figure_format = 'retina'\n",
        "\n",
        "# Colab 의 한글 폰트 설정\n",
        "plt.rc('font', family='NanumBarunGothic') "
      ],
      "metadata": {
        "id": "TtjMjiSaLeWn"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2U8bgFGgSCUk",
        "outputId": "ab3d00cb-ebab-4bec-d232-be6f3154e56b"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "GWA9TgAqnHDA",
        "outputId": "c2d94633-39d4-488a-d703-3c70352a52e8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>건축년도</th>\n",
              "      <th>거래년도</th>\n",
              "      <th>거래월</th>\n",
              "      <th>거래일자</th>\n",
              "      <th>법정동</th>\n",
              "      <th>거래금액</th>\n",
              "      <th>아파트이름</th>\n",
              "      <th>전용면적</th>\n",
              "      <th>지번</th>\n",
              "      <th>층</th>\n",
              "      <th>전용면적(평)</th>\n",
              "      <th>반기</th>\n",
              "      <th>평당거래금액</th>\n",
              "      <th>시도명</th>\n",
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              "    </tr>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2007</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>필운동</td>\n",
              "      <td>100000</td>\n",
              "      <td>신동아블루아광화문의 꿈</td>\n",
              "      <td>111.97</td>\n",
              "      <td>254</td>\n",
              "      <td>6</td>\n",
              "      <td>33.87</td>\n",
              "      <td>상반기</td>\n",
              "      <td>2952.465309</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
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              "      <th>1</th>\n",
              "      <td>2008</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>사직동</td>\n",
              "      <td>162000</td>\n",
              "      <td>광화문풍림스페이스본(106동)</td>\n",
              "      <td>163.33</td>\n",
              "      <td>9-1</td>\n",
              "      <td>2</td>\n",
              "      <td>49.40</td>\n",
              "      <td>상반기</td>\n",
              "      <td>3279.352227</td>\n",
              "      <td>서울특별시</td>\n",
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              "      <th>2</th>\n",
              "      <td>1994</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>내수동</td>\n",
              "      <td>88000</td>\n",
              "      <td>세종로대우</td>\n",
              "      <td>109.91</td>\n",
              "      <td>167</td>\n",
              "      <td>11</td>\n",
              "      <td>33.25</td>\n",
              "      <td>상반기</td>\n",
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              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2004</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>내수동</td>\n",
              "      <td>130000</td>\n",
              "      <td>킹스매너</td>\n",
              "      <td>194.43</td>\n",
              "      <td>110-15</td>\n",
              "      <td>4</td>\n",
              "      <td>58.81</td>\n",
              "      <td>상반기</td>\n",
              "      <td>2210.508417</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2003</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>내수동</td>\n",
              "      <td>149000</td>\n",
              "      <td>경희궁 파크팰리스</td>\n",
              "      <td>148.09</td>\n",
              "      <td>95</td>\n",
              "      <td>8</td>\n",
              "      <td>44.79</td>\n",
              "      <td>상반기</td>\n",
              "      <td>3326.635410</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
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            "text/plain": [
              "   건축년도  거래년도  거래월  거래일자   법정동  ...  전용면적(평)   반기       평당거래금액    시도명  시군구명\n",
              "0  2007  2020    1     3   필운동  ...    33.87  상반기  2952.465309  서울특별시   종로구\n",
              "1  2008  2020    1     2   사직동  ...    49.40  상반기  3279.352227  서울특별시   종로구\n",
              "2  1994  2020    1     6   내수동  ...    33.25  상반기  2646.616541  서울특별시   종로구\n",
              "3  2004  2020    1     9   내수동  ...    58.81  상반기  2210.508417  서울특별시   종로구\n",
              "4  2003  2020    1    20   내수동  ...    44.79  상반기  3326.635410  서울특별시   종로구\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "# 필요한 데이터를 읽어옵니다.\n",
        "# 파일 이름은 '2020년 서울시 아파트 실거래가_merge.csv',\n",
        "# encoding 옵션은 'cp949' 를 사용합니다.\n",
        "\n",
        "#2020년 서울시 아파트 실거래가_merge\n",
        "# df = pd.read_csv('2020년 서울시 아파트 실거래가_merge.csv', encoding = 'cp949') 왜 너는 에러가 뜰까...\n",
        "#/content/drive/MyDrive/Colab Notebooks/2020년 서울시 아파트 실거래가_merge.csv\n",
        "path = \"/content/drive/MyDrive/2020년 서울시 아파트 실거래가_merge.csv\"\n",
        "df = pd.read_csv(path, encoding = 'cp949')\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-Q4DtwG6St47",
        "outputId": "7357076a-47fd-4c3e-c93a-d14d528def8e"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 80951 entries, 0 to 80950\n",
            "Data columns (total 15 columns):\n",
            " #   Column   Non-Null Count  Dtype  \n",
            "---  ------   --------------  -----  \n",
            " 0   건축년도     80951 non-null  int64  \n",
            " 1   거래년도     80951 non-null  int64  \n",
            " 2   거래월      80951 non-null  int64  \n",
            " 3   거래일자     80951 non-null  int64  \n",
            " 4   법정동      80951 non-null  object \n",
            " 5   거래금액     80951 non-null  int64  \n",
            " 6   아파트이름    80951 non-null  object \n",
            " 7   전용면적     80951 non-null  float64\n",
            " 8   지번       80951 non-null  object \n",
            " 9   층        80951 non-null  int64  \n",
            " 10  전용면적(평)  80951 non-null  float64\n",
            " 11  반기       80951 non-null  object \n",
            " 12  평당거래금액   80951 non-null  float64\n",
            " 13  시도명      80951 non-null  object \n",
            " 14  시군구명     80951 non-null  object \n",
            "dtypes: float64(3), int64(6), object(6)\n",
            "memory usage: 9.3+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "zJC54TIAS5JI",
        "outputId": "04c27ea0-29c2-4c3a-e310-5a59fe21d9b7"
      },
      "execution_count": 8,
      "outputs": [
        {
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              "      <th>거래월</th>\n",
              "      <th>거래일자</th>\n",
              "      <th>법정동</th>\n",
              "      <th>거래금액</th>\n",
              "      <th>아파트이름</th>\n",
              "      <th>전용면적</th>\n",
              "      <th>지번</th>\n",
              "      <th>층</th>\n",
              "      <th>전용면적(평)</th>\n",
              "      <th>반기</th>\n",
              "      <th>평당거래금액</th>\n",
              "      <th>시도명</th>\n",
              "      <th>시군구명</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2007</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>필운동</td>\n",
              "      <td>100000</td>\n",
              "      <td>신동아블루아광화문의 꿈</td>\n",
              "      <td>111.97</td>\n",
              "      <td>254</td>\n",
              "      <td>6</td>\n",
              "      <td>33.87</td>\n",
              "      <td>상반기</td>\n",
              "      <td>2952.465309</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2008</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>사직동</td>\n",
              "      <td>162000</td>\n",
              "      <td>광화문풍림스페이스본(106동)</td>\n",
              "      <td>163.33</td>\n",
              "      <td>9-1</td>\n",
              "      <td>2</td>\n",
              "      <td>49.40</td>\n",
              "      <td>상반기</td>\n",
              "      <td>3279.352227</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1994</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>내수동</td>\n",
              "      <td>88000</td>\n",
              "      <td>세종로대우</td>\n",
              "      <td>109.91</td>\n",
              "      <td>167</td>\n",
              "      <td>11</td>\n",
              "      <td>33.25</td>\n",
              "      <td>상반기</td>\n",
              "      <td>2646.616541</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2004</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>내수동</td>\n",
              "      <td>130000</td>\n",
              "      <td>킹스매너</td>\n",
              "      <td>194.43</td>\n",
              "      <td>110-15</td>\n",
              "      <td>4</td>\n",
              "      <td>58.81</td>\n",
              "      <td>상반기</td>\n",
              "      <td>2210.508417</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2003</td>\n",
              "      <td>2020</td>\n",
              "      <td>1</td>\n",
              "      <td>20</td>\n",
              "      <td>내수동</td>\n",
              "      <td>149000</td>\n",
              "      <td>경희궁 파크팰리스</td>\n",
              "      <td>148.09</td>\n",
              "      <td>95</td>\n",
              "      <td>8</td>\n",
              "      <td>44.79</td>\n",
              "      <td>상반기</td>\n",
              "      <td>3326.635410</td>\n",
              "      <td>서울특별시</td>\n",
              "      <td>종로구</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-abb52117-4b34-4d6c-a1bf-c611314a3ff3')\"\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",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\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",
              "      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-abb52117-4b34-4d6c-a1bf-c611314a3ff3 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-abb52117-4b34-4d6c-a1bf-c611314a3ff3');\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": [
              "   건축년도  거래년도  거래월  거래일자   법정동  ...  전용면적(평)   반기       평당거래금액    시도명  시군구명\n",
              "0  2007  2020    1     3   필운동  ...    33.87  상반기  2952.465309  서울특별시   종로구\n",
              "1  2008  2020    1     2   사직동  ...    49.40  상반기  3279.352227  서울특별시   종로구\n",
              "2  1994  2020    1     6   내수동  ...    33.25  상반기  2646.616541  서울특별시   종로구\n",
              "3  2004  2020    1     9   내수동  ...    58.81  상반기  2210.508417  서울특별시   종로구\n",
              "4  2003  2020    1    20   내수동  ...    44.79  상반기  3326.635410  서울특별시   종로구\n",
              "\n",
              "[5 rows x 15 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "(df.groupby(['시군구명'])['거래금액'].mean()).reset_index().sort_values('거래금액', ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 832
        },
        "id": "EYmHviCBSeBc",
        "outputId": "c209bfab-dcce-4bc7-d36c-e90e7768535e"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-ff77702c-4207-424b-9453-f84208b0a6ad\">\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",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>시군구명</th>\n",
              "      <th>거래금액</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>강남구</td>\n",
              "      <td>180523.977698</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>서초구</td>\n",
              "      <td>174519.395880</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>용산구</td>\n",
              "      <td>150769.459794</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>송파구</td>\n",
              "      <td>130369.219539</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>성동구</td>\n",
              "      <td>113725.468975</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>광진구</td>\n",
              "      <td>106791.559486</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>마포구</td>\n",
              "      <td>101252.816000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>동작구</td>\n",
              "      <td>97487.289809</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>중구</td>\n",
              "      <td>92187.581466</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>영등포구</td>\n",
              "      <td>89657.699102</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>양천구</td>\n",
              "      <td>88874.881442</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>강동구</td>\n",
              "      <td>83695.543567</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>종로구</td>\n",
              "      <td>82924.927904</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>서대문구</td>\n",
              "      <td>78624.250737</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>동대문구</td>\n",
              "      <td>70776.424262</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>성북구</td>\n",
              "      <td>68592.357778</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>강서구</td>\n",
              "      <td>67763.958090</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>은평구</td>\n",
              "      <td>62466.130514</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>관악구</td>\n",
              "      <td>62182.680669</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>강북구</td>\n",
              "      <td>55840.142518</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>구로구</td>\n",
              "      <td>54536.225257</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>노원구</td>\n",
              "      <td>52166.381269</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>중랑구</td>\n",
              "      <td>50701.672741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>금천구</td>\n",
              "      <td>47113.883109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>도봉구</td>\n",
              "      <td>45727.447392</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "\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",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ff77702c-4207-424b-9453-f84208b0a6ad 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-ff77702c-4207-424b-9453-f84208b0a6ad');\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",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "    시군구명           거래금액\n",
              "0    강남구  180523.977698\n",
              "14   서초구  174519.395880\n",
              "20   용산구  150769.459794\n",
              "17   송파구  130369.219539\n",
              "15   성동구  113725.468975\n",
              "5    광진구  106791.559486\n",
              "12   마포구  101252.816000\n",
              "11   동작구   97487.289809\n",
              "23    중구   92187.581466\n",
              "19  영등포구   89657.699102\n",
              "18   양천구   88874.881442\n",
              "1    강동구   83695.543567\n",
              "22   종로구   82924.927904\n",
              "13  서대문구   78624.250737\n",
              "10  동대문구   70776.424262\n",
              "16   성북구   68592.357778\n",
              "3    강서구   67763.958090\n",
              "21   은평구   62466.130514\n",
              "4    관악구   62182.680669\n",
              "2    강북구   55840.142518\n",
              "6    구로구   54536.225257\n",
              "8    노원구   52166.381269\n",
              "24   중랑구   50701.672741\n",
              "7    금천구   47113.883109\n",
              "9    도봉구   45727.447392"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# groupby를 사용해서 시군구 별 총 거래금액의 평균을 구하고,\n",
        "# 큰 순서대로 정렬해서 temp 변수에 저장합니다.\n",
        "temp = df.groupby(by=['시군구명'])['거래금액'].agg(['mean']).sort_values(by='mean', ascending=False)\n",
        "\n",
        "# 위의 temp 데이터를 bar차트로 시각화 합니다.\n",
        "temp.plot(kind='bar')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 323
        },
        "id": "jLYRnz03TSnZ",
        "outputId": "5138b13f-73de-4014-bc9a-c55887a37f86"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fda905c1f90>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "image/png": {
              "width": 391,
              "height": 289
            },
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "wBB2m5x7hQ8e"
      },
      "outputs": [],
      "source": [
        "# # 위의 temp 데이터를 bar차트로 시각화 합니다.\n",
        "# plt.figure(figsize=(20, 15))\n",
        "# plt.bar(temp['시군구명'], temp['거래금액'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 454
        },
        "id": "lcAbVfcRhQ8f",
        "outputId": "175b8503-7521-40cf-fffc-813ac4864b8e"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-9e05f777-45a9-4fc2-9378-e42d606fb1c7\">\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></th>\n",
              "      <th>size</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>거래월</th>\n",
              "      <th>시군구명</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <th>노원구</th>\n",
              "      <td>1722</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <th>노원구</th>\n",
              "      <td>1154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">6</th>\n",
              "      <th>송파구</th>\n",
              "      <td>1134</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>강서구</th>\n",
              "      <td>1128</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <th>강서구</th>\n",
              "      <td>956</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <th>용산구</th>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <th>중구</th>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <th>종로구</th>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">4</th>\n",
              "      <th>용산구</th>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>종로구</th>\n",
              "      <td>27</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>300 rows × 1 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9e05f777-45a9-4fc2-9378-e42d606fb1c7')\"\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",
              "      flex-wrap:wrap;\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",
              "    [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-9e05f777-45a9-4fc2-9378-e42d606fb1c7 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-9e05f777-45a9-4fc2-9378-e42d606fb1c7');\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": [
              "          size\n",
              "거래월 시군구명      \n",
              "6   노원구   1722\n",
              "2   노원구   1154\n",
              "6   송파구   1134\n",
              "    강서구   1128\n",
              "7   강서구    956\n",
              "...        ...\n",
              "3   용산구     37\n",
              "4   중구      35\n",
              "9   종로구     34\n",
              "4   용산구     31\n",
              "    종로구     27\n",
              "\n",
              "[300 rows x 1 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "# 거래월과 시군구명을 기준으로 거래된 건수를 카운트하고,\n",
        "# 거래된 수에 따라 내림차순으로 정렬해서 temp 변수에 저장하세요.\n",
        "cnt = (df.groupby(['거래월','시군구명'])['거래금액'].agg(['size'])).sort_values('size', ascending=False)\n",
        "cnt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "id": "BaKo3VT1hQ8f",
        "outputId": "cb870403-993b-4d1b-9757-89bb9d654e0a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fda8fde3490>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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A3Nmubq21S85tHcolSZKk5V4/hfv96uMV9XFafXxrm7qvBtYZVKdVf72IeGWb+nsMqiNJkiQVqWfhPiI2iIiTImJcm7IDqXbM+Xlm3gqQmdcC04EPR8TLB9VdGTgRGACmDOpmCpDACRExelD9bYADgKsz87quX5gkSZLUJ3q5W04ARwAHR8TPgZuBZ4E3Ut2dvxX48JA2B1Pdyf9dRHybasnOPlRbUh6fmTe1KmbmDRFxMnAU8PuIuJDq7v6B9eMcPHKXJkmSJDWvZ+E+M++PiFcBhwO7AHvXRXcCxwCnZuZTQ9pMj4jXAsdThfTVgFuAAzLzO20e4+iIuAP4KPA5ql10pgGfzcw/j8yVSZIkSf2h6+E+M48DjutQdh3woSXs70bgnUtQfwoLL9eRJEmSVgj99IFaSZIkScvAcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBWiq+E+IraLiIciIiPiTR3qbBIR34qIv0XE0xHxSET8LCJ2blP323VfnX4+1qbNrhHx64h4MiIei4ifRsR23bxOSZIkqR+N7lZHEfE+4DRg/CLqnAE8A/wIuBPYHPgAMDkiJmXm5UOaPQb8e4curxzS/97ABcDfgC8DqwIHAldFxBsyc/qSXZUkSZK0/OhKuI+II4GTgR8D9wEvuKNemwScDxyVmY8Paj8VuAQ4Frh8SJsnM/PUxRjDWOBM4F7gVZn5aH3+DOBPwNkRsX1m5hJcmiRJkrTc6NaynNuB3TJzH+DRYep9PjP/aXCwB8jMS4EHgB2XYQzvBtYFTmwF+7rvvwDfALYD3rAM/UuSJEl9rSvhPjMvyszLFqPejGGK5y7jMCbVx4valLXOTV7Gx5AkSZL6VtfW3C+LiHgZ1dr7KzqUj6Fayz8APJyZA22qbQ08kpn3tym7vj5OXIyxdFqXv+Wi2kqSJElN6petME8CAvhqm7LNgHnA/VRLdx6PiPMj4u+G1NuEar3/C2TmU8CTwKZdG7EkSZLUZxq/cx8RHwDeCfw0M380pPj3wF+odr+ZD2wE7AX8I/COiNh10A44awCzh3mo2cDYRY0nM9uu+6/v6O+wqPaSJElSUxoN9xGxFfB1qh1uPjy0PDO/1abZKRHxXuD7wLeAV9XnRwELhnm4BcBKyzRgSZIkqY81tiwnIl5EtXXmysB+mfnw4rbNzB8AlwI7RsTm9ek5VPvad7Iqw9/ZlyRJkpZrjYT7iFiZ6sumXg4clJlXLUU319bHDerjg8D6wzze+LqOJEmSVKSm7tx/A9gV+M/MPHcp+2itn59ZH28DNo6INdrU3ZLqWm9byseSJEmS+l7Pw31EHE21vv6HwDFL2ceqwDuods+5vT49jep6JrVpssegOpIkSVKRehruI2If4ETgauCDmZnD1H17RHw4IlYacn5l4DSqffG/NKiP86jW3f9bRKw+qP6GwBHAPcAvung5kiRJUl/p2W45EbEO8F2q/ex/DRwcEe2qTs3Me6m2tpwCHBsRvwDuAlYD9gG2BaYCp7QaZeZDEXEk1e4710bE94ExwAFU6+33zMz5I3N1kiRJUvN6uRXmOKB1R/3oYepdB9ybmf8dEfOolvDsBaxL9WVW1wMfAM4beuc/M78REf8POAr4JNX2l1cBx2Xm77t5MZIkSVK/6Xq4z8zjgOPanJ9Bddd+Sfr6CfCTJWxzIXDhkrSRJEmSStDYPveSJEmSustwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFcJwL0mSJBXCcC9JkiQVwnAvSZIkFWJ00wOQ1B2bf+ripofQN2Z84e1ND0GSpEZ4516SJEkqhOFekiRJKoThXpIkSSqEa+4lqVB+DuN5fg5D0orCO/eSJElSIbxzL0nSCsR3dJ7nOzoqkXfuJUmSpEIY7iVJkqRCGO4lSZKkQhjuJUmSpEIY7iVJkqRCGO4lSZKkQhjuJUmSpEIY7iVJkqRCGO4lSZKkQhjuJUmSpEIY7iVJkqRCGO4lSZKkQhjuJUmSpEIY7iVJkqRCGO4lSZKkQhjuJUmSpEIY7iVJkqRCGO4lSZKkQhjuJUmSpEIY7iVJkqRCGO4lSZKkQhjuJUmSpEIY7iVJkqRCdDXcR8R2EfFQRGREvKlDndER8emIuD0i5kXE3RHxxYhYrUP9zSPi+xHxcETMjog/RMQ+w4xh37rO7LrN+RGxWZcuUZIkSepbXQv3EfE+4NfAi4epE8APgBOAO4DPA78DPglcGhErD6m/BfBH4B3A+cCJwOrABRFxWJv+Dwem1nVOrNvsCVxjwJckSVLpRnejk4g4EjgZ+DFwH/CxDlX3A/YFTs/M5+pExLXAScA/A18aVP90YG3g9Zl5VV33FOBK4EsRcWFm3l+f37gewx+BXTJzbn3+B3X904C9unG9kiRJUj/q1p3724HdMnMf4NFh6n0UmA98bsj5LwH3M+hFQX3X/m3A1FawB6hD+zHAGOAjg/o4CFgFOKYV7Ov6vwcuAPb07r0kSZJK1pVwn5kXZeZlw9WJiLHAzsAVmfn4kPYLgJ8DW0TES+vTk+rjRW26uxSYC0wedG5Sfe5Xbeq3+th9uDFKkiRJy7Ne7pbzMqplQNd3KG+dn1gftx5y/jmZ+Sxwy6C6rfo312WL6luSJEkqTlfW3C+mTerjfR3KW+c3XYL6O0bEOCCANZeg744iYnqHoi0X1VaSJElqUi/D/Rr1cXaH8tb5sUtRf9QS1JUkSZKK1Mtw3wrgCzqUt86vtBT1Ywn77igzd2x3vr6jv8Oi2kuSJElN6eWa+zn1cdUO5a3zrbvsS1J/SfuWJEmSitPLcP9gfVy/Q/mEIfUWp/484EngcaotNhe3b0mSJKk4vQz3t9XHTh9MnTikXsf69TfdbgXckZkDmTkA3LkEfUuSJEnF6Vm4z8xHgBuBN0fEKm2q7EH1BVitbSun1ce3tqn7amCdQXVa9deLiFd26Jsh9SVJkqSi9PLOPcAZwLrAJwefjIgPU911P7v+Qisy81pgOvDhiHj5oLorAycCA8CUQd1MARI4ISJGD6q/DXAAcHVmXjcC1yRJkiT1hV7ulgNVuH83cHxE7ABcTfXlU/sDNwP/OaT+wcAVwO8i4tvATGAfql1rjs/Mm1oVM/OGiDgZOAr4fURcSHV3/0Dg2bovSZIkqVg9vXOfmU9TLbP5AvBK4N+BXYHTgddn5hND6k8HXgv8liqkf64uOiAzj2nT/9HAQVQvWj4HfJBqKc5O3rWXJElS6bp+5z4zjwOOG6Z8DvDp+mdx+rsReOcSPP4UFl6uI0mSJK0Qer0sR5IkSX1m809d3PQQ+saML7y96SEsk15/oFaSJEnSCDHcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmF6Gm4j4jNIyIX4+e4uv5xi6j3X20eY/uI+FlEPBYRT0bEtIh4Yy+vU5IkSWrC6B4/3kzg48OUb1qXPzPkfKc20wf/JSJeDfwGmAWcAcwDPgBcFhH/kJk/XZpBS5IkScuDnob7zHwSOLVTeUR8sf7jRUPadWwzqG0AZ1O9MHhtZv61Pv9V4E/AmRGxRWbOXcrhS5IkSX2tb9bcR8QY4EPA7zLzxqXo4k3A1sDXW8EeIDMfBU4E1gf268JQJUmSpL7UN+GeKnivC3xjKdtPqo8XtSlrnZu8lH1LkiRJfa/Xa+6HcxjwCPDDoQURsTKwTv3XRzLz2Tbtt66PNwwtyMz7IuJRYGKXxipJkiT1nb4I9xHxCuDvgZMzc36bKvOBqP88NyIuA47LzMEfqN0EeCIzn+rwMPdRfWB3UWOZ3qFoy0W1lSRJkprUF+Ge6q59At8acv4m4HjgLuApYAPgLcA7gMkRsXdm/ryuuwYwe5jHmA2M7eagJUmSpH7SeLiPiDWB/YFLM/Mvg8sycyowdUiTr0TELsClwJSI2Cwzn6H6/MCCYR5qAbDSosaTmTt2GOd0YIdFtZckSZKa0g8fqP0g1R31xf4gbWZeAXyH6k7+6+rTc4BVh2m2KsPf2ZckSZKWa/0Q7g8F7gWW9Aumrq2PG9THB4HxEdHp3YgJdR1JkiSpSI2G+4h4E7AVMCUzh1tS005r/fzM+ngb1bKbl7Z5nLWADes6kiRJUpGavnN/GPAscOaSNKq/jfZdwNPAVfXpafXxrW2avJXqWqe1KZMkSZKK0Fi4j4gNgL2BizLz/jblO0bEUfU31w4+H8CxwGup7vg/URddDNwPHBkR6w2qPw74N6r19uePyMVIkiRJfaDJ3XIOAlam8wdpVwa+SBXWLwZup3oxsgewM/Bb4KhW5cycHxEHAz8Bro2I71Dd2d+faqnOQZn50AhdiyRJktS4RsJ9RKxEFe7vAC5rVyczr6rX5B8KvBl4H9USnluBfwG+UW+BObjNzyJiV6o7+/9M9WLgT8DHM/PikbkaSZIkqT80Eu7rD89ushj1fgP8Zgn7vgLYbSmHJkmSJC23mv5ArSRJkqQuMdxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmFMNxLkiRJhTDcS5IkSYUw3EuSJEmF6Gm4j4jNIyKH+XlkSP3VI+KkiLg7IuZFxG0R8amIWKlD/9tHxM8i4rGIeDIipkXEG3tzdZIkSVKzRjf0uN8Hrm5zfm7rDxExBrgMeA3w38ANwOuBE4FXAu8Z3DAiXg38BpgFnAHMAz4AXBYR/5CZP+3+ZUiSJEn9o6lwf0lmfnsRdf4FeC3wycz8r9bJiDgdOCwi/jszf1SfC+Bs4BngtZn51/r8V4E/AWdGxBaZOXfog0iSJEml6Oc194cB9wNfHnL+c8B84GODzr0J2Br4eivYA2Tmo1R3+tcH9hvJwUqSJElN68twHxEvAzYDLs7MBYPLMvMx4Erg9RGxen16Un28qE13rXOTR2KskiRJUr9oLNxHxPiI2Dgi1mhTvHV9vL5D8+uBlYGXDql/w9CKmXkf8CgwcRmGK0mSJPW9ptbcnw1E6y8RcRNwOvCtzExgk7rovg7tW+c3pQr6mwBPZOZTw9TfdHEGFhHTOxRtuTjtJUmSpKb0OtzPAb4O3KDqd7cAACAASURBVAw8AqxJdUf9QOAbwBuA/YHW3fzZHfppnR9bH9cYpm6r/thhyiVJkqTlXk/DfWY+BHx06PmI+DzwS+B9EfF9nl8utGBo3SHnW/vdjxqmbqt+273x24xxx3bn6zv6OyxOH5IkSVIT+uIDtZn5BHBE/dd3Ud3hB1i1Q5PW+dbd+jnD1G3VH+7OviRJkrTc64twX7u2Pm4APFj/ef0OdSfUxwcHHcdHRKd3IiYMqitJkiQVqZ/CfWtN/EzgtvrPnT7E2tr55vb6eBvVspuXDq0YEWsBGw7qU5IkSSpSP4X71pdM/YbqW2UfA946tFJErAbsClxff0kVwLT6+IL69blRg+pIkiRJReppuI+IUyNiizbndwBOoFo68736i6vOBraLiP2HVP8M8CLgjEHnLqb6NtsjI2K9Qf2OA/6Nar39+d28FkmSJKnf9HorzMnAxyLiV8A1wJNUS2/eD8wF9svMWXXd44F3AN+JiEnArcBrgb2BXwNntjrNzPkRcTDwE+DaiPgO8DTVtpovBQ6qd+qRJEmSitXrcP8m4F+Bt9XHMcD/A84CvpCZd7cqZubjEfE64D+AvYB/BO6t/35CZj4zuOPM/FlE7AocC/wz1bsSfwI+npkXj/B1SZIkSY3r9T73DwKfrn8Wp/6jwGH1z+LUvwLYbakHKEmSJC3H+ukDtZIkSZKWgeFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqRM/DfUSsHhHHRsTNETE3ImZFxO8j4gND6h0QETnMz9Q2fW8eEd+PiIcjYnZE/CEi9und1UmSJEnNGd3LB4uIVwA/ATYEfg6cD6wNvA/4TkRskpn/OaTZfwAz23R3x5C+twCuAcYAZwMPA+8BLoiIj2bm17t5LZIkSVK/6Wm4B14J3AtMzszbWicj4mTgz8BnIuKUzJw3qM3ZmTljMfo+neqFwusz86q631OAK4EvRcSFmXl/l65DkiRJ6ju9XpbzK2DXwcEeIDMfAn4JrA5staSd1nft3wZMbQX7ut+5wDFUd/M/sgzjliRJkvpeT8N9Zt6bmc90KJ67DF1Pqo8XtSm7tO578jL0L0mSJPW9Xi/LaSsiRgNvpgrhtw0pXiki1qMa6yOZ+XSbLrauj9cPLcjMZyPiFmBiF4csSZIk9Z2+CPfAx4DNgNMyc86QsjuAqP/8TET8FjghM381qM4m9fG+Dv3fB+wYEeMyc9ZwA4mI6R2KthyunSRJktS0xsN9RGwF/CdwD3DsoKIZwElU4f5JYD3gtVQ74FwSEYdk5hl13TXq4+wOD9M6PxYYNtxLkiRJy6tGw31ErAb8D7AKsH9mPt4qy8zLgcuHNPlaRJxAtQPOl+sdcB7i+c8OLOjwUK3zKy1qTJm5Y4exTgd2WFR7SZIkqSmNfUNtRARwDrANcFRmXrk47TLzFuAUqp119qhPt5byrNqhWet8pzv7kiRJ0nKvsXBP9eVU76Hax/7LS9j22vq4QX18sD6u36H+BGAe1fIeSZIkqUiNhPuIeD/wWaplN4csRRdj62Prm2tbO+y84EOv9TsEWwF3ZObAUjyWJEmStFzoebiPiDcAU4DbgX2G2fd+OPvVxyvq47T6+NY2dV8NrDOojiRJklSknob7iPg74MfAU8A7MvOxDvU2iIiTImJcm7IDqZbz/DwzbwXIzGuB6cCHI+Llg+quDJwIDFC9oJAkSZKK1evdcr5HdRd9KvD2asXMC1wF/A04Ajg4In4O3Aw8C7yR6u78rcCHh7Q7mOpO/u8i4ttUS3b2odrh5vjMvKnbFyNJkiT1k16H+9YHXt9V/7Tz+cw8LiJeBRwO7ALsXZfdCRwDnJqZTw1ulJnTI+K1wPHAgcBqwC3AAZn5ne5ehiRJktR/ehruM3PzJah7HfChJez/RuCdSzgsSZIkqQhNboUpSZIkqYsM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiEM95IkSVIhDPeSJElSIQz3kiRJUiGKDPcRsW9E/CEiZkfEwxFxfkRs1vS4JEmSpJFUXLiPiMOBqcDqwInA+cCewDUGfEmSJJVsdNMD6KaI2Bg4GfgjsEtmzq3P/wC4EjgN2Ku5EUqSJEkjp7Q79wcBqwDHtII9QGb+HrgA2NO795IkSSpVaeF+EjAX+FWbsovq4+69G44kSZLUO6WF+62BmzPz2TZl19fHiT0cjyRJktQzkZlNj6ErImJN4AngJ5m5d5vyFwEzgR9l5r7D9DO9Q9ErVltttZW22mqrrox3Wdx03xNND6FvbLPRWk0PoW84L57nvKg4J57nnHie8+J5zovnOS+e1w/z4tZbb2Xu3LkzM3OdJW1bUrjfELgPOD8z929TvgowH/hlZr51mH46hfttgKeAGcs+2uXelvXxz42OQv3GeaF2nBdqx3mhdpwXz9sceDIzt1jShiXtltNaYrSgQ3nr/ErDdZKZO3ZtRIVqvQDyv5UGc16oHeeF2nFeqB3nRXeUtOZ+Tn1ctUN56/zsHoxFkiRJ6rmSwv3jVMtu1u9QPqE+Ptib4UiSJEm9VUy4z8wB4E6eX681VGuXnNt6MyJJkiSpt4oJ97VpwHoR8co2ZXsMqiNJkiQVp7RwPwVI4ISIeO7DwhGxDXAAcHVmXtfQ2CRJkqQRVcxWmC0R8UXgKOCPwIXAOsCBVDsDvcFwL0mSpFIVF+4BIuIjwEep1t/PAS4HPpuZ7psqSZKkYhUZ7iVJkqQVUWlr7iVJkqQVluFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKoThXpIkSSqE4V6SJEkqhOFekiRJKsTopgeg/hcRE4A3Ai8D1gaeBu4HrgP+v8wcaHB4akhEvBrYlfbz4uLMnNng8NQAnyvUjvNC7TgvRo7fUKu2ImI14GDg3cCrgah/BktgJnAR8M3MvKang1TPRcSGwFHAu4ANeOGcgGpeLACuBL6RmVN7N0L1ms8Vasd5oXacF71huNdCImIUcBjwGWACMAv4DfBbqlfUDwGr12VbAm8Btqb6n/Ei4DOZeWvvR66RFBFjgc8DhwKrAbcCl9F5XuwGvAFYg+ouzFGZeVnvR66R4nOF2nFeqB3nRW8Z7vWciNgI+AGwM3ApcBrwv5m5YDHaHQIcBKwJHJGZ3xzh4apHIuIVwA+BDYHzgNMy8+bFaDcG+L/APwPbAP9F9QTtW63LOZ8r1I7zQu04L3rPcK/nRMQjwPXA4YsT3tq0X5kqyP0bVYg7vctDVAMiYg7wfeBTmfnwUvaxD/Al4OuZeVI3x6fe87lC7Tgv1I7zovcM93pORLw7M/+nC/1MAF6WmVd0YVhqWES8JjP/0IV+VgNempk3dGFYapDPFWrHeaF2nBe9Z7iXtMwiYg1gfGb+remxSJK0InOfey2RiPhERDzb9DjUdw4G7mp6EOofPleoHeeF2nFedJfhXkuj3faHkjSUzxVqx3mhdpwXXeKXWGkhEfEZYB4wB3gUeAS4D7g3M+c0OTY1JyLOoMO8AO5ucGhqiM8Vasd5oXacF73lmnstJCIGqPaVbb2CHjxBZgLPAOtn5kq9Hpua02ZewMJz42lgFefFisPnCrXjvFA7zove8s692jmLal/zNYDxVF8qsRGwBfCKBselZv0XMIX28+INwFbNDU0N8blC7Tgv1I7zokcM92pnRmZe2q4gIo4Evtjj8ag/PJGZd7QriIhPAO5fv+LxuULtOC/UjvOiR/xArZaU67gkLQ6fK9SO80LtOC+6yDv3WioRcQrtP9memfmJXo9HfSEi4kcdyjIz9+3paNQXfK5QO84LteO86A7DvZZGAB/vUJaA/wOuuPbucN67MismnyvUjvNC7TgvusRwr6WRwKubHoT6TgLrNT0I9RWfK9SO80LtOC+6xHCvpZKZ05seg/pPZj7a9BjUX3yuUDvOC7XjvOgOP1ArSZIkFcJwL0mSJBXCcC9JkiQVwjX3GupQ4A9ND0J9523A7U0PQn3F5wq147xQO86LHjLcayGZ+a2mx6D+k5m/bHoM6i8+V6gd54XacV70lstytKSC9l8woRXbE8Dfmh6E+orPFWrHeaF2nBddFJl+t4wkqTsi4t+ByzNzWtNjkaQVkXfu1TURsU5ETGx6HOovEfF/ImKPpsehnvkc8KamByFJKyrX3Os5EfEtYNJSNM3MfAlwCPDvwEpdHZgaFRE/BvZaiqaZmaOBf8R5IRUtItYHJnejr8w8txv9qHnOi2YY7jXY08D8xay7BTAHeHDkhqM+cS2w6mLWfT0wE7hl5IajJi3mL+vtIuIDi+rLX9ZF2RL4NpC8cO10a/3vcGuqW+0ScF6Uw3nRAMO9npOZ/zxceUSsBzybmTMj4lbg15l5WG9Gp6Zk5n8MVx4R2wLPZOafnRcrhOF+WbfsRed3e/xlXaZbqN6la+ddwD7DlKtczosGGO61JE6nuoO7Z9MDUV/5LLAW1V74Kt9wv6y1gsrMh4H/blcWEVsC+2Rm23KVy3nRDMO9XiAiNgH2A1YBLsrM1hKLB4BdGhuYGhUROwHvp5oXP8rMS+qiB4BtGhuYemq4X9btRMRHgH/NTOeIFhIRbwMuycwFTY9F/cN5sezcLUcLiYhdqe7MnQycAFwXEf+3Ln4Y2LBVtYHhqSER8R7gd8DHgH8CfhERR9fFjwAbDPrzE70foXotIlaOiBPqF33D+X/AVhHx8l6MS8uHiJgMXASc0vRY1D+cF93hnXs9JyJGU62BfQr4ODCXapeTb0bEpcDjVMsvALYFBpoYp3orIlYDvg78hSrczwVOBf4jIv4HeAxYEyAz39DUONVzqwCfAu6OiL8Czw7+GXTX7S6qmwFbALc1MVA17udUL/wBiIg3Ur378wTVc4lWTM6LEWK412BvBDYCJmfmpQARcTPVbin7UIX7lSJibGbObm6Y6rE3Ay8C3paZV8Nzd/JvB94JPAqMiohxmTmruWGqIWOp3tVb6BsRIwKqGwAL6rJ1ez4y9YXMvAa4BiAiPkT1+a15VM8pMxocmhrkvBg5hnsNtiUwuxXsATLzuoi4C3g58FuqO3A3RMTgtXDH+IGYor0EeLIV7AEy868R8Rfg/wD3UM2LR+tA13JYZk7p6UjVhKeBr1H9Pmn3swrVh/BXb2qAal5EbA18GdgNuAN4V2be2Oyo1DTnxcgw3Guwlal+UQ81n2quzKn/vgrVW+8tfnZjxdaaF9dSLdlpeaCBsaj3ns7Mw4erEBEDGO6LVy/hu4bqeWAW1ZKsv1J9Y/GbqX6/fBk41nd/VxzOi94z3Guwu4G1I+JlmXk7QES8mOrO7Xeo/gdMYPfMvLUufwmwVkTswPMftlVZ/gKMi4id6rdRiYgtqObFX4FnqObFh1o7K0XEzsCEiNgH2LqZYavPrNz0ADTigurdvKeBMVThbbDpwLkGuBWO86LHDPca7NdU693Ojoj9qV5ln0M1Ty7m+TWzg39JnwrsUf+59cU0Kss0qg84fTsiDqOaF6dRraf+CbBZXW/w88mncV5oYe6wVbjMnMOgd2jqm0NbU4W5dwM7A9dGxDeBT2TmvCbGqd5yXvSe4V7PyczHI+IY4L+o7shC9Qv5G5l5U/1J9qF+AFzXqzGq9zJzbkR8jGonpWn16QA+l5l3RcSmbZp9FbiwV2NUo8ZExA+oXvR3+vHF3Qqo/k6Ey+uf4yLiLcBJwKHA6yNicma6fG8F47wYeYZ7LSQzvxQR9wAfpPql/CPgjGHqf69XY1NzMvP8iLiThb/E6pfD1L+0U5mKszLV3bcFVG+7P9PmKJGZl0XEq6i2WP4McEVEvCEzH2x4aGqQ86L7DPd6gcz8IfDDDsW+tb6CqnfLubpDsfNixfVUZg77ofr6A7USmZnAMRExg+rG0YUR8cbMbLeZg1YQzovuMtxrSfwZOBD4W9MDUV+5DtgVuLPpgainFgC/Ae5veiBa/mTmWRGxLvCOpsei/uG86I6oXixJSy8iNgJekplXND0W9Y+ImAi8KjPPbXos6r2IOBaYlpm/jYixwPzMfHZR7VSWeh78NjOndShfIzOf6vGw1DDnxchyf3J1w3updtqRBnsb1W5LWjEdB+wCkJmzDfYrrOOovqCoLQPcCus4nBcjxnAvaZlEZZWmx6FmRcSh9d04SVKDXHOvxRYR/wIcnZl+WZUG+wzVLgcrNT0QNWo3YCequfACEbENMAXYBrgKOCgz7+rd8DTSIuKzVF9uN9TbI2LCkHNfzswbI+J1wCeBCcAVwL9717YszoveM9xrSawBrN/0ICT1l4hYE5gM/Pcw5f9L9S3Wj1F95fz/RsS27oZRlHcAr2lzftv6pyWBqRHxIuBXVFkkgVcDO9fbIPqBwHI4L3rMcC9JWlYfAFaj83difAgYB7yiviv3YeDMut2U3gxRPbAH1fdgLI7HgD8AT1KFv2uBLwKHA/sD543EANUI50WPGe4lSUstIsYDxwK/ycw/dKi2B3BmZt4Iz213dwjwDxjui5GZjy1u3Yh4KfAK4BOZeVV97kiqOfFeDHHFcF70nh+oldQVEfGiiBjf+gFWb3pM6olvUi3ZO3SYOhOBoVveXcbCb8lrxbI91ZKLn7ZOZOYC4BJgu6YGpcY5L7rAO/daUhERTw45t3IjI1E/CeCRpgeh3oiIa4F5wONUa+0/kpm3RcThPP/lM4PXxq4D3DOkm/uAdUd6rOqdiBhNNSduA34JnJeZt3So/uL6ePeQ8/cMKtP/396dR0lW1mcc/z6CMHBAYEQWkZFNBEXDalBBEQQ0LgFFJRqUiAoGIgqiR0REyMkRSTigqEQIm4hROIaA20RGVgMJojiiiAiKMIkBRDaBAWae/PHedmpqbnVXb/c2t5/POX2669a9b/165jd3fvXWu3RA8qJ5Ke5jIm7re/wsYMM2AokZ5ZK+x1tQemyjex6nTJAT8HNgZKOyrVm2dnVvcb8SZUfbXkvI/0GdYvtJSasD21VfH5F0IXC47bv7Th9ZXWtp3/GllLyKjkheNC/DcmK8bHu73i/glLaDitbZ9r69X8A5bQcV08P2zsDzgIsob+BGxsEeRplYuzrL/0f8MDC3r5l1KJPmoluWAscAewH/DrwNWFgtbdhrZBx2f8fQ+pRe3uiW5EWDUtzHVMjSVBGzjO3bbb8VOBl4q6RDbC+xvdj2Y32n307pseu1LSt+ChhPfQaetH2Z7TdTirmVKUuf9hZyN1HeAO7ed/1uwM1NBBqNSl40KMV9LEfSapKeXfcFPKPt+KIdktaT9LK6L2Be2/FFq44CrgY+I+mZA875AfBuSSsBSJoHvI4VJ9lGN/xpuJXty4BXAE8CF45sWmT7Rso46mMkrQtQLZH6QkrPbnRP8qIhGe8Y/d4JfGHAcyK99LPVvsAXqf/7T17MYrYt6YPADZRhOZ+qOe1fgEOBKyRdB+xH6Vw6o7FAo0nLdRza/rmkAyjzck6lDMmAMkzjXOBXku6kDPG6g8H7JcRTW/KiISnuo98tLJscFzHih9QXbRHYvlHS94EDqckT2wslHQP8A/ByyvjbQ2zf3mig0ZQVJj7a/mY1iXI/STvZvt72lyWtCXwU2JyyK+n7bT/ScLzRjORFQ1Lcx3JsXwFc0XIYMcPYvoHSMxsxyNeAL0rawPbv+p+0/WlJ3wa2Aa63fWvjEUZTBq1qchzlU5sPAAcA2P4Cgz8tjm5JXjQkxX1EREyF7wC71hX2I2wvBBY2F1K04GjKHIsV2L5Z0uXAVs2GFDNA8qJBKe5jKtwJXNV2EDHj3ESGeM0athdRNqYasYgsdTnr2D5pjFM+BORTm1kmedEs2ZkHFxERERHRBVkKMyIiIiKiI1LcR0RERER0RIr7iIiIiIiOSHEfEREREdERKe4jIiIiIjoiS2HGpElaHzic8mbxStvfaTmkmAEkbQ18giovgLNsL243qmhT7hVRJ3kRdZIXE5elMGPSJH0P2L16eCfwK2Bf2w+1F1W0TdLVwMuqh1cDc4G9RtvkKLot94qok7yIOsmLicuwnJgKd1G2lf6p7U2A/wQ+22pEMRP8gJIXC2zvBpxG8mK2y70i6iQvok7yYoLScx+TJknA9sAvbP+xevx8279oObRomaRnAve5utFIWtv2/S2HFS3JvSLqJC+iTvJi4lLcR0RERER0RCbUxtAkbQ7sB2wDrAbcTRl68Q3bj7YZWzRH0loAth8Y4tytgZ1snzftgcWMkXtF1ElezF6S3gk8Acy3fV/b8XRdeu5jOZI+A7wPeJ7te3qOnwgcQZmnoZ5LTLlBH2D7siZjjWZJejtwPLBpdegO4FTgNNtLBlxzOHCy7ZWaiTKakntF1EleRB1JSyl/14uBi4Av2r623ai6KxNqo9/rgcv6bspHAUdRirkPA7sAWwOvBj4HrA5cIunFzYcbTZD0F8D5wMbAfwFXAOsCJwPXStqiveiiJblXRJ3kRQxyHnAp8DbgGkk/kXSwpDVajqtz0nMfy5H0MHCi7RN6jv0v8HtgV9t/qLlmB2AB5Ya+X2PBRmMkLQC2BXaxfXN1bC3gU8BhwMPAgbYv7rsuPfcdlXtF1EleRJ2q5/6Dtj8raT3KpzvvpXQYPQR8BTjd9sIWw+yM9NxHv0fpmYsh6VnA+sApdTdlANs3AGcDuzURYLRie+C8kcIeyph72x8E9gQeAS6SdHRbAUbjcq+IOsmLGJXtu23/PWWI55uA64CDgR9LukbSX0tapdUgn+JS3Ee/hcBrex4/ACylFG+juRtYdbqCitatBtRuPmX7cuDPKGsQnyDpXElPbzK4aEXuFVEneRFDsb3U9sW29wa2BE4BtgLOBRZJ+kw1CTvGKcV99DsN2FHSYQC2Hwcuo6xwUEvSSsBfUnaPi266C3jRoCer8bV7UD5aPQC4TNLchmKLduReEXWSFzFutm+zfSTwHOAg4NeU+Rm3SJrfanBPQSnuYzm2/w04HThV0j9JWhs4FNhZ0hckbdB7fjV27nxgJ+CfGw84mnIxsI+k9QedYPsJ2+8EPkmZMHcdpRcmOij3iqiTvIjJsP2Y7XNsvwTYkTIJd5eWw3rKyYTaqCXpQ8BxlLGTVwD3Am+hvCFcSFn1YEPKWOw5wGer8dfRQZLWAW4BrrH9piHO3x84i+pj9kyo7a7cK6JO8iJ69U6oncC12dl8nFLcx0BVQXcg8DrKSim9wyyWAouAqykz3K9pPMBolKTdgV2Bs23/dojzX0rp8V83xX235V4RdZIXMWIyxX2MX4r7GJqkNYE1Kash3O8kT0TUyL0i6iQvZi9JrwR+ZXtR27HMBinu408kzbH92BS1tartxVPRVrQreRH9khNRJ3kRdZIXzcuE2uj1c0lvmEwDkuZKOoOyG2F0Q/Ii+iUnok7yIuokLxqW4j56nQF8Q9J8SXuN50JJ60k6FvglZdWDC6YjwGhF8iL6JSeiTvIi6iQvGpZhObEcSa+grHKyKXArcCHwfeDa/o/VJG0K7A7sRVmjeGXKP+IPTdVHcDEzJC+iX3Ii6iQvok7yolkp7mMF1YYiBwFHA/OAkSR5ALiHslvpesDTAQFLgIuA42zf0njA0YjkRfRLTkSd5EXUSV40J8V9jErSS4B9gFdStodeC3iCsoTZjcC3gEtt39dakNG45EX0S05EneRF1EleTK8U9xERERERHZEJtRERERERHZHiPiIiIiKiI1LcR0RERER0RIr7iIiIiIiOSHEfEREREdERKe4jIiIiIjoixX1EREREREekuI+IiIiI6IgU9xERM4ykOZJ2k7TlJNt5haRtpyqu6SBpy+p3ndN2LBERXZDiPiJi5tkAuBw4YtgLJD1N0pmS3tdz+D+AU8a4bh1Jm0vaWNJKA855rqSNh42l57pVJG0i6ZmjnHYE5XfdYLztz2SSTpf0d23HERGzz8ptBxAR0XWSnsbgzpSVgacDf7S9dJQ2NqrO6/eo7f+r2j8IWAP40hjxzAE+BhwAbNrz1GJJ3weOt31dz/ErgYeBbUZrt8Y2wA3A6cD7x3ktkq4D/nwclzzH9qIpaGdj23f1XL8XcOxoF9jepe/QwcB84HPjeN2IiElLcR8RMf3OAt41xjlzgT+M8vwC4Pk1x+cDrxlnPF8B9gVOrGL7LbA68FLgZOAqSTvb/tE42+23pPr+2ASvPxP47hDn7Qu8GHhkwPOnA98csp3tWTHe9YCXAz8B7up7bltgoyHajohoRIr7iIjp96/ATX3HlgBPUIalzLU9WmEPcBSwVt+xL08wnjcAN9v+WM+xxcC3Ja0FXEB5S8qxdAAABh1JREFUwzDZ4n6N6vuDE7nY9pnDnCfpRZTi/qEB7ZwzZDsvoBT3g94knNLflqTzgXdI8jCvEREx3VLcR0RMM9vfpaYHWpKAEyhDV8Zq49Ka6yda3H8LeKOkTwLnAYuA1YCdgKOBx+vinYB51fdbp6Ct0awJPGj7yUm2swbwmO1Bxf1o+sfXnzrJWCIiJiTFfUREe14OrE2ZUNqkv6IU8e8Bjus5/ngVy3umYEgOwHbV9zunoK3RzAXumaJ27p3IhbZP630sadSJzBER0yXFfUREew4EDHx1CttcT9Ju1c+1k3htP0aZIHqspA2ADSlDhB4B1gWeLekjwGa2D5lELK+qvr+ZMil3uswDfjkF7WxA+RRj3CRd3Hcoq9FFRCtS3EdEtEDSJpTVar5HWaXmuJ6n1645/xfUT6jt9yqWFdX9bZwIHNl7iMFF6GJg4RCvV0vSVsCOlLkFfyPpeNsT6hUf43VWA55FmXA8WRsBN05BO1D+bCMiGpfiPiKiHV+iLG35ceA5wCeHuOZ+ygo3vW7ve7yAZUNt+gveyyk99L1eBLyRMjn3UsrwlkXA7baXMHEja/QfAJxDGYP+jrEukvQe4IwJvN7+kvYfeWB7XMV19QnGHOCOUU47W9LZdU/Y3qevvUywjYhWpLiPiGhY1Uu/J/B52z8cOdzz/CbAr2sufcD2p8do/l7b11TtLFdg1k3slXQgpbi/yvaFkragmgBb5vv+yc/GeN3eNrenrLm/wPZXJe0AHCnpEttfG+Py/6aswT/IRsBhwLXAJaPE8ELgtcPGzLLlLLeU9OHq55uqP7MbgU+Mo62IiNakuI+IaJCkIym99Nez/BCZttxLWa1nZELqHcDWfee8mwHLTPaTtA7wdcpa8SMbVx1DWVrzPEn32h44hMb2QkYZDiRpR0px/6PR3uhUb1pOGibmPq+vvgDOBb5r+yZWXMo0ImJGSnEfEdEASatTNog6mFJM7217cYvxzKFswHQvpVhG0s4DTv8G8OgQba5F+WRgc+Ag27dCmcAraV/gauBSSYfYPm/yv8Vg1Xr054wS62nAocB2tic0zl7SPGBLyv4DTwB3Az+z/RBlaczRhvhEREyLFPcREdNM0huAf6QUgl+nLDU5VE94n1UkbQesCjyDMpRkS8q4+WPH2dYmlKEtw7oF2GrQk5I2o4zZfwFwtO2zep+3faukPYHvAGdKunak+B+lzSOAtwNvtj1jCuVqXsBRlD/7fk9Img98vPoUIiKiUSnuIyKmkaRnUybPrkTpzT5rjEtGsyEr7hr7B+AnwMPjbOs3wEuHPPcrQ5xzH3AXcNKgHWFt/7QaVrPDWIV9ZR6wA2WDrRlB0ueBv6XMQTgU+DHld1+F8oZpb8p8g1dL2t32eN5ARURMWor7iIhpZPt/JO0C/N72/ZNo6hDKDqpLKMtU3gcssn0PgKTx3s+XUlbfGcYKq+ZI+jSwC3Cw7Z9Vv9veYzVk+3eUHXIn6jfAexnHBN+pImlTSmF/PbBrzbCqn1KGHX0VuIYyt+I1zUYZEbNdivuIiGlm+7YpaOOKKQil12bAzeM4/5aRHyStC3y0evgJYP/aK6ZBtVb+mU29Xp+Nq+9XjTFf4lrKHIXnTn9IERHLS3EfETG7zQe+OcyJkjav3qjcR1lDfw+a2Yn1MEnDbIB1+zRP1L0ReBB4l6QLbPcPkULS04ATKEOJfjCNsURE1EpxHxExu+3NEMNpKm8BbrO9lDKm/ErgymmLbJlDhzxvATBtxb3tByW9A/gacH31+/+I8mZnZUrP/h7AptXxjw5qKyJiusjOJnoRETE+kt4HfADYyfaYy2R2iaSNKGPv9wS2oKxc9CRlKcyFwEXA+bafbC3IiJi1UtxHRMS4VBtVnQEcbntR2/FERMQyKe4jIiIiIjqiiYlQERERERHRgBT3EREREREdkeI+IiIiIqIjUtxHRERERHREivuIiIiIiI5IcR8RERER0REp7iMiIiIiOiLFfURERERER6S4j4iIiIjoiBT3EREREREdkeI+IiIiIqIjUtxHRERERHREivuIiIiIiI5IcR8RERER0REp7iMiIiIiOuL/ATw4HO1elpZ8AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "image/png": {
              "width": 379,
              "height": 300
            },
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# 위 temp 데이터의 상위 5개 지역(거래 건수가 가장 높은 지역)을 시각화 합니다.\\]\n",
        "cnt.head().plot(kind='bar')\n",
        "# plt.bar(cnt['시군구명'], cnt['거래금액'])\n",
        "\n",
        "# 위 데이터의 상위 5개 지역을 시각화 합니다.\n",
        "# temp.head(5).plot(kind='bar')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 거래월과 시군구별 거래량(거래 건 수)을 피벗테이블로 표현하세요\n",
        "pv_table = df.pivot_table(values='거래금액', index='시군구명', columns='거래월', aggfunc='mean')\n",
        "pv_table = round(pv_table, 2)\n",
        "pv_table"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 864
        },
        "id": "9yIcFrGMX1Ci",
        "outputId": "25169fa3-89ba-4c41-8461-8bfa967bdb62"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-38c9d530-8ef9-47bf-a3dc-5e9b70148cf5\">\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>거래월</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>시군구명</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>강남구</th>\n",
              "      <td>155214.89</td>\n",
              "      <td>161472.14</td>\n",
              "      <td>170534.07</td>\n",
              "      <td>195801.03</td>\n",
              "      <td>170656.60</td>\n",
              "      <td>182113.90</td>\n",
              "      <td>169026.71</td>\n",
              "      <td>198072.78</td>\n",
              "      <td>184498.90</td>\n",
              "      <td>174962.29</td>\n",
              "      <td>184444.87</td>\n",
              "      <td>197931.10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>강동구</th>\n",
              "      <td>65255.15</td>\n",
              "      <td>69415.66</td>\n",
              "      <td>63053.03</td>\n",
              "      <td>65905.51</td>\n",
              "      <td>70486.09</td>\n",
              "      <td>87377.73</td>\n",
              "      <td>87461.86</td>\n",
              "      <td>92148.44</td>\n",
              "      <td>92016.54</td>\n",
              "      <td>87667.95</td>\n",
              "      <td>96851.98</td>\n",
              "      <td>104075.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>강북구</th>\n",
              "      <td>46467.60</td>\n",
              "      <td>51212.21</td>\n",
              "      <td>53343.17</td>\n",
              "      <td>49934.85</td>\n",
              "      <td>51229.09</td>\n",
              "      <td>59997.04</td>\n",
              "      <td>60216.91</td>\n",
              "      <td>58783.16</td>\n",
              "      <td>64178.21</td>\n",
              "      <td>52543.44</td>\n",
              "      <td>60168.69</td>\n",
              "      <td>70411.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>강서구</th>\n",
              "      <td>62355.74</td>\n",
              "      <td>61398.25</td>\n",
              "      <td>57556.80</td>\n",
              "      <td>54620.90</td>\n",
              "      <td>62068.81</td>\n",
              "      <td>66513.39</td>\n",
              "      <td>68633.02</td>\n",
              "      <td>72645.76</td>\n",
              "      <td>72789.60</td>\n",
              "      <td>72637.85</td>\n",
              "      <td>76165.53</td>\n",
              "      <td>76454.49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>관악구</th>\n",
              "      <td>57154.98</td>\n",
              "      <td>57703.31</td>\n",
              "      <td>56261.18</td>\n",
              "      <td>55616.12</td>\n",
              "      <td>55616.36</td>\n",
              "      <td>65763.32</td>\n",
              "      <td>61053.03</td>\n",
              "      <td>62855.60</td>\n",
              "      <td>64293.97</td>\n",
              "      <td>63991.80</td>\n",
              "      <td>69387.82</td>\n",
              "      <td>72498.94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>광진구</th>\n",
              "      <td>93384.13</td>\n",
              "      <td>89947.79</td>\n",
              "      <td>93927.88</td>\n",
              "      <td>80750.00</td>\n",
              "      <td>92458.23</td>\n",
              "      <td>105991.27</td>\n",
              "      <td>109531.96</td>\n",
              "      <td>117256.45</td>\n",
              "      <td>121448.03</td>\n",
              "      <td>116535.42</td>\n",
              "      <td>111753.81</td>\n",
              "      <td>121891.80</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>구로구</th>\n",
              "      <td>50933.62</td>\n",
              "      <td>50332.53</td>\n",
              "      <td>48740.45</td>\n",
              "      <td>46793.23</td>\n",
              "      <td>49775.39</td>\n",
              "      <td>58070.79</td>\n",
              "      <td>61237.04</td>\n",
              "      <td>59327.82</td>\n",
              "      <td>57668.08</td>\n",
              "      <td>53159.19</td>\n",
              "      <td>50339.20</td>\n",
              "      <td>62308.34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>금천구</th>\n",
              "      <td>47821.48</td>\n",
              "      <td>45375.95</td>\n",
              "      <td>36773.75</td>\n",
              "      <td>41611.13</td>\n",
              "      <td>45000.51</td>\n",
              "      <td>48519.74</td>\n",
              "      <td>50839.08</td>\n",
              "      <td>61443.82</td>\n",
              "      <td>54252.24</td>\n",
              "      <td>48936.57</td>\n",
              "      <td>59784.05</td>\n",
              "      <td>40210.31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>노원구</th>\n",
              "      <td>46471.55</td>\n",
              "      <td>45885.92</td>\n",
              "      <td>46298.26</td>\n",
              "      <td>45767.12</td>\n",
              "      <td>47741.18</td>\n",
              "      <td>50326.27</td>\n",
              "      <td>56000.43</td>\n",
              "      <td>58932.60</td>\n",
              "      <td>60398.54</td>\n",
              "      <td>58041.77</td>\n",
              "      <td>61767.34</td>\n",
              "      <td>61089.38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>도봉구</th>\n",
              "      <td>44022.34</td>\n",
              "      <td>43759.24</td>\n",
              "      <td>40902.24</td>\n",
              "      <td>40221.61</td>\n",
              "      <td>40606.75</td>\n",
              "      <td>42477.83</td>\n",
              "      <td>47056.34</td>\n",
              "      <td>50158.50</td>\n",
              "      <td>49521.70</td>\n",
              "      <td>49403.43</td>\n",
              "      <td>53780.40</td>\n",
              "      <td>54413.79</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>동대문구</th>\n",
              "      <td>60779.06</td>\n",
              "      <td>62390.82</td>\n",
              "      <td>58128.43</td>\n",
              "      <td>60069.55</td>\n",
              "      <td>62718.23</td>\n",
              "      <td>72606.14</td>\n",
              "      <td>72119.97</td>\n",
              "      <td>77956.00</td>\n",
              "      <td>78606.17</td>\n",
              "      <td>69906.42</td>\n",
              "      <td>84660.43</td>\n",
              "      <td>84087.56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>동작구</th>\n",
              "      <td>81769.71</td>\n",
              "      <td>87407.15</td>\n",
              "      <td>82911.86</td>\n",
              "      <td>83128.00</td>\n",
              "      <td>86810.14</td>\n",
              "      <td>94248.67</td>\n",
              "      <td>101522.26</td>\n",
              "      <td>100829.03</td>\n",
              "      <td>104846.58</td>\n",
              "      <td>101742.78</td>\n",
              "      <td>110427.44</td>\n",
              "      <td>114316.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>마포구</th>\n",
              "      <td>89500.77</td>\n",
              "      <td>88772.75</td>\n",
              "      <td>90146.88</td>\n",
              "      <td>84479.52</td>\n",
              "      <td>92524.07</td>\n",
              "      <td>102716.78</td>\n",
              "      <td>95523.24</td>\n",
              "      <td>106568.18</td>\n",
              "      <td>109294.39</td>\n",
              "      <td>105606.83</td>\n",
              "      <td>113416.46</td>\n",
              "      <td>117785.36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>서대문구</th>\n",
              "      <td>65629.96</td>\n",
              "      <td>67822.88</td>\n",
              "      <td>66310.73</td>\n",
              "      <td>66881.61</td>\n",
              "      <td>71344.62</td>\n",
              "      <td>78768.22</td>\n",
              "      <td>81627.06</td>\n",
              "      <td>84317.17</td>\n",
              "      <td>80677.71</td>\n",
              "      <td>82298.80</td>\n",
              "      <td>89914.56</td>\n",
              "      <td>98097.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>서초구</th>\n",
              "      <td>129713.64</td>\n",
              "      <td>145887.92</td>\n",
              "      <td>141174.99</td>\n",
              "      <td>175244.68</td>\n",
              "      <td>178585.17</td>\n",
              "      <td>169253.61</td>\n",
              "      <td>177399.74</td>\n",
              "      <td>181817.09</td>\n",
              "      <td>185175.88</td>\n",
              "      <td>181987.28</td>\n",
              "      <td>184825.31</td>\n",
              "      <td>188253.33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>성동구</th>\n",
              "      <td>93011.80</td>\n",
              "      <td>99394.19</td>\n",
              "      <td>105046.28</td>\n",
              "      <td>103378.29</td>\n",
              "      <td>103576.88</td>\n",
              "      <td>110203.56</td>\n",
              "      <td>121034.35</td>\n",
              "      <td>119513.24</td>\n",
              "      <td>121355.24</td>\n",
              "      <td>128950.00</td>\n",
              "      <td>122273.32</td>\n",
              "      <td>132776.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>성북구</th>\n",
              "      <td>58143.30</td>\n",
              "      <td>62451.55</td>\n",
              "      <td>62047.47</td>\n",
              "      <td>58998.51</td>\n",
              "      <td>61994.38</td>\n",
              "      <td>68803.96</td>\n",
              "      <td>73471.21</td>\n",
              "      <td>73956.94</td>\n",
              "      <td>78101.00</td>\n",
              "      <td>76018.12</td>\n",
              "      <td>78178.67</td>\n",
              "      <td>80375.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>송파구</th>\n",
              "      <td>103041.22</td>\n",
              "      <td>119472.17</td>\n",
              "      <td>112310.07</td>\n",
              "      <td>122817.36</td>\n",
              "      <td>139752.36</td>\n",
              "      <td>135201.32</td>\n",
              "      <td>118830.84</td>\n",
              "      <td>118405.46</td>\n",
              "      <td>130038.93</td>\n",
              "      <td>131139.30</td>\n",
              "      <td>138138.69</td>\n",
              "      <td>155615.24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>양천구</th>\n",
              "      <td>68744.89</td>\n",
              "      <td>67964.26</td>\n",
              "      <td>66023.10</td>\n",
              "      <td>77097.26</td>\n",
              "      <td>83240.94</td>\n",
              "      <td>90606.98</td>\n",
              "      <td>96391.24</td>\n",
              "      <td>97156.01</td>\n",
              "      <td>84534.30</td>\n",
              "      <td>92164.04</td>\n",
              "      <td>106911.22</td>\n",
              "      <td>110919.44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>영등포구</th>\n",
              "      <td>75463.84</td>\n",
              "      <td>79616.38</td>\n",
              "      <td>79559.52</td>\n",
              "      <td>77198.77</td>\n",
              "      <td>86478.22</td>\n",
              "      <td>93873.16</td>\n",
              "      <td>93176.76</td>\n",
              "      <td>95524.64</td>\n",
              "      <td>89873.70</td>\n",
              "      <td>86775.49</td>\n",
              "      <td>99921.74</td>\n",
              "      <td>102772.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>용산구</th>\n",
              "      <td>124691.24</td>\n",
              "      <td>138974.34</td>\n",
              "      <td>122145.92</td>\n",
              "      <td>141035.48</td>\n",
              "      <td>150167.58</td>\n",
              "      <td>160007.98</td>\n",
              "      <td>143711.49</td>\n",
              "      <td>157620.37</td>\n",
              "      <td>161317.44</td>\n",
              "      <td>137611.32</td>\n",
              "      <td>155342.86</td>\n",
              "      <td>169632.91</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>은평구</th>\n",
              "      <td>56401.98</td>\n",
              "      <td>55685.85</td>\n",
              "      <td>55044.78</td>\n",
              "      <td>48594.00</td>\n",
              "      <td>57463.85</td>\n",
              "      <td>64044.78</td>\n",
              "      <td>66689.10</td>\n",
              "      <td>67047.94</td>\n",
              "      <td>60905.60</td>\n",
              "      <td>65622.78</td>\n",
              "      <td>73446.53</td>\n",
              "      <td>74009.92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>종로구</th>\n",
              "      <td>65430.62</td>\n",
              "      <td>68571.58</td>\n",
              "      <td>68992.81</td>\n",
              "      <td>65348.15</td>\n",
              "      <td>78814.00</td>\n",
              "      <td>90938.70</td>\n",
              "      <td>90107.84</td>\n",
              "      <td>101351.84</td>\n",
              "      <td>90204.12</td>\n",
              "      <td>51662.37</td>\n",
              "      <td>102942.81</td>\n",
              "      <td>106523.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>중구</th>\n",
              "      <td>83431.67</td>\n",
              "      <td>87243.06</td>\n",
              "      <td>75525.00</td>\n",
              "      <td>83017.14</td>\n",
              "      <td>86883.64</td>\n",
              "      <td>92063.05</td>\n",
              "      <td>93917.50</td>\n",
              "      <td>96188.73</td>\n",
              "      <td>102530.77</td>\n",
              "      <td>93716.90</td>\n",
              "      <td>103375.00</td>\n",
              "      <td>102802.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>중랑구</th>\n",
              "      <td>46616.46</td>\n",
              "      <td>48262.31</td>\n",
              "      <td>49020.29</td>\n",
              "      <td>44843.01</td>\n",
              "      <td>44332.05</td>\n",
              "      <td>51937.51</td>\n",
              "      <td>52756.97</td>\n",
              "      <td>54577.88</td>\n",
              "      <td>53873.79</td>\n",
              "      <td>50735.58</td>\n",
              "      <td>53173.90</td>\n",
              "      <td>59823.98</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-38c9d530-8ef9-47bf-a3dc-5e9b70148cf5')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\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",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "    .colab-df-convert:hover {\n",
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              "      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",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-38c9d530-8ef9-47bf-a3dc-5e9b70148cf5');\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",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "거래월          1          2          3   ...         10         11         12\n",
              "시군구명                                   ...                                 \n",
              "강남구   155214.89  161472.14  170534.07  ...  174962.29  184444.87  197931.10\n",
              "강동구    65255.15   69415.66   63053.03  ...   87667.95   96851.98  104075.85\n",
              "강북구    46467.60   51212.21   53343.17  ...   52543.44   60168.69   70411.71\n",
              "강서구    62355.74   61398.25   57556.80  ...   72637.85   76165.53   76454.49\n",
              "관악구    57154.98   57703.31   56261.18  ...   63991.80   69387.82   72498.94\n",
              "광진구    93384.13   89947.79   93927.88  ...  116535.42  111753.81  121891.80\n",
              "구로구    50933.62   50332.53   48740.45  ...   53159.19   50339.20   62308.34\n",
              "금천구    47821.48   45375.95   36773.75  ...   48936.57   59784.05   40210.31\n",
              "노원구    46471.55   45885.92   46298.26  ...   58041.77   61767.34   61089.38\n",
              "도봉구    44022.34   43759.24   40902.24  ...   49403.43   53780.40   54413.79\n",
              "동대문구   60779.06   62390.82   58128.43  ...   69906.42   84660.43   84087.56\n",
              "동작구    81769.71   87407.15   82911.86  ...  101742.78  110427.44  114316.30\n",
              "마포구    89500.77   88772.75   90146.88  ...  105606.83  113416.46  117785.36\n",
              "서대문구   65629.96   67822.88   66310.73  ...   82298.80   89914.56   98097.84\n",
              "서초구   129713.64  145887.92  141174.99  ...  181987.28  184825.31  188253.33\n",
              "성동구    93011.80   99394.19  105046.28  ...  128950.00  122273.32  132776.55\n",
              "성북구    58143.30   62451.55   62047.47  ...   76018.12   78178.67   80375.00\n",
              "송파구   103041.22  119472.17  112310.07  ...  131139.30  138138.69  155615.24\n",
              "양천구    68744.89   67964.26   66023.10  ...   92164.04  106911.22  110919.44\n",
              "영등포구   75463.84   79616.38   79559.52  ...   86775.49   99921.74  102772.00\n",
              "용산구   124691.24  138974.34  122145.92  ...  137611.32  155342.86  169632.91\n",
              "은평구    56401.98   55685.85   55044.78  ...   65622.78   73446.53   74009.92\n",
              "종로구    65430.62   68571.58   68992.81  ...   51662.37  102942.81  106523.43\n",
              "중구     83431.67   87243.06   75525.00  ...   93716.90  103375.00  102802.53\n",
              "중랑구    46616.46   48262.31   49020.29  ...   50735.58   53173.90   59823.98\n",
              "\n",
              "[25 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "M2KW_NVdhQ8g",
        "scrolled": true
      },
      "outputs": [],
      "source": [
        "# 피벗 테이블 이용하여 거래월과 시군구별 평균거래금액을 계산하고,\n",
        "# temp 변수에 저장합니다.\n",
        "temp = pv_table"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 625
        },
        "id": "3v63sXhahQ8g",
        "outputId": "952c1272-4b4d-4112-b413-2d015bde68b6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fda912f8290>"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "image/png": {
              "width": 615,
              "height": 591
            },
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(10,10))\n",
        "\n",
        "# 위 temp 데이터(평균거래금액)를 heatmap으로 시각화 합니다.\n",
        "sns.heatmap(temp)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 864
        },
        "id": "jghWimVnhQ8g",
        "outputId": "72d5b02b-f8be-49af-890f-aac79d721615",
        "scrolled": true
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-56666f0a-22bc-4f17-9929-794378b27364\">\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>거래월</th>\n",
              "      <th>1</th>\n",
              "      <th>2</th>\n",
              "      <th>3</th>\n",
              "      <th>4</th>\n",
              "      <th>5</th>\n",
              "      <th>6</th>\n",
              "      <th>7</th>\n",
              "      <th>8</th>\n",
              "      <th>9</th>\n",
              "      <th>10</th>\n",
              "      <th>11</th>\n",
              "      <th>12</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>시군구명</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>강남구</th>\n",
              "      <td>131</td>\n",
              "      <td>237</td>\n",
              "      <td>135</td>\n",
              "      <td>145</td>\n",
              "      <td>331</td>\n",
              "      <td>789</td>\n",
              "      <td>365</td>\n",
              "      <td>227</td>\n",
              "      <td>177</td>\n",
              "      <td>215</td>\n",
              "      <td>418</td>\n",
              "      <td>462</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>강동구</th>\n",
              "      <td>336</td>\n",
              "      <td>392</td>\n",
              "      <td>165</td>\n",
              "      <td>127</td>\n",
              "      <td>317</td>\n",
              "      <td>871</td>\n",
              "      <td>558</td>\n",
              "      <td>314</td>\n",
              "      <td>200</td>\n",
              "      <td>195</td>\n",
              "      <td>328</td>\n",
              "      <td>340</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>강북구</th>\n",
              "      <td>313</td>\n",
              "      <td>262</td>\n",
              "      <td>161</td>\n",
              "      <td>99</td>\n",
              "      <td>132</td>\n",
              "      <td>371</td>\n",
              "      <td>207</td>\n",
              "      <td>95</td>\n",
              "      <td>78</td>\n",
              "      <td>122</td>\n",
              "      <td>107</td>\n",
              "      <td>158</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>강서구</th>\n",
              "      <td>425</td>\n",
              "      <td>459</td>\n",
              "      <td>247</td>\n",
              "      <td>188</td>\n",
              "      <td>327</td>\n",
              "      <td>1128</td>\n",
              "      <td>956</td>\n",
              "      <td>413</td>\n",
              "      <td>303</td>\n",
              "      <td>330</td>\n",
              "      <td>456</td>\n",
              "      <td>423</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>관악구</th>\n",
              "      <td>235</td>\n",
              "      <td>296</td>\n",
              "      <td>178</td>\n",
              "      <td>139</td>\n",
              "      <td>165</td>\n",
              "      <td>503</td>\n",
              "      <td>298</td>\n",
              "      <td>116</td>\n",
              "      <td>116</td>\n",
              "      <td>128</td>\n",
              "      <td>179</td>\n",
              "      <td>218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>광진구</th>\n",
              "      <td>63</td>\n",
              "      <td>113</td>\n",
              "      <td>52</td>\n",
              "      <td>40</td>\n",
              "      <td>79</td>\n",
              "      <td>229</td>\n",
              "      <td>194</td>\n",
              "      <td>93</td>\n",
              "      <td>76</td>\n",
              "      <td>72</td>\n",
              "      <td>105</td>\n",
              "      <td>128</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>구로구</th>\n",
              "      <td>443</td>\n",
              "      <td>574</td>\n",
              "      <td>310</td>\n",
              "      <td>229</td>\n",
              "      <td>356</td>\n",
              "      <td>864</td>\n",
              "      <td>551</td>\n",
              "      <td>257</td>\n",
              "      <td>219</td>\n",
              "      <td>234</td>\n",
              "      <td>463</td>\n",
              "      <td>370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>금천구</th>\n",
              "      <td>125</td>\n",
              "      <td>185</td>\n",
              "      <td>176</td>\n",
              "      <td>53</td>\n",
              "      <td>99</td>\n",
              "      <td>228</td>\n",
              "      <td>174</td>\n",
              "      <td>89</td>\n",
              "      <td>67</td>\n",
              "      <td>67</td>\n",
              "      <td>116</td>\n",
              "      <td>255</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>노원구</th>\n",
              "      <td>815</td>\n",
              "      <td>1154</td>\n",
              "      <td>625</td>\n",
              "      <td>371</td>\n",
              "      <td>621</td>\n",
              "      <td>1722</td>\n",
              "      <td>927</td>\n",
              "      <td>381</td>\n",
              "      <td>308</td>\n",
              "      <td>395</td>\n",
              "      <td>620</td>\n",
              "      <td>774</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>도봉구</th>\n",
              "      <td>367</td>\n",
              "      <td>563</td>\n",
              "      <td>308</td>\n",
              "      <td>199</td>\n",
              "      <td>280</td>\n",
              "      <td>845</td>\n",
              "      <td>604</td>\n",
              "      <td>200</td>\n",
              "      <td>147</td>\n",
              "      <td>204</td>\n",
              "      <td>301</td>\n",
              "      <td>354</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>동대문구</th>\n",
              "      <td>287</td>\n",
              "      <td>343</td>\n",
              "      <td>172</td>\n",
              "      <td>121</td>\n",
              "      <td>215</td>\n",
              "      <td>529</td>\n",
              "      <td>387</td>\n",
              "      <td>200</td>\n",
              "      <td>154</td>\n",
              "      <td>162</td>\n",
              "      <td>230</td>\n",
              "      <td>283</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>동작구</th>\n",
              "      <td>208</td>\n",
              "      <td>278</td>\n",
              "      <td>118</td>\n",
              "      <td>50</td>\n",
              "      <td>148</td>\n",
              "      <td>535</td>\n",
              "      <td>483</td>\n",
              "      <td>217</td>\n",
              "      <td>146</td>\n",
              "      <td>152</td>\n",
              "      <td>215</td>\n",
              "      <td>276</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>마포구</th>\n",
              "      <td>182</td>\n",
              "      <td>211</td>\n",
              "      <td>112</td>\n",
              "      <td>63</td>\n",
              "      <td>162</td>\n",
              "      <td>491</td>\n",
              "      <td>469</td>\n",
              "      <td>209</td>\n",
              "      <td>164</td>\n",
              "      <td>180</td>\n",
              "      <td>261</td>\n",
              "      <td>246</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>서대문구</th>\n",
              "      <td>227</td>\n",
              "      <td>271</td>\n",
              "      <td>137</td>\n",
              "      <td>87</td>\n",
              "      <td>186</td>\n",
              "      <td>491</td>\n",
              "      <td>377</td>\n",
              "      <td>180</td>\n",
              "      <td>157</td>\n",
              "      <td>167</td>\n",
              "      <td>200</td>\n",
              "      <td>232</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>서초구</th>\n",
              "      <td>121</td>\n",
              "      <td>178</td>\n",
              "      <td>116</td>\n",
              "      <td>94</td>\n",
              "      <td>212</td>\n",
              "      <td>545</td>\n",
              "      <td>431</td>\n",
              "      <td>275</td>\n",
              "      <td>199</td>\n",
              "      <td>232</td>\n",
              "      <td>322</td>\n",
              "      <td>430</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>성동구</th>\n",
              "      <td>206</td>\n",
              "      <td>284</td>\n",
              "      <td>151</td>\n",
              "      <td>76</td>\n",
              "      <td>176</td>\n",
              "      <td>646</td>\n",
              "      <td>386</td>\n",
              "      <td>204</td>\n",
              "      <td>143</td>\n",
              "      <td>142</td>\n",
              "      <td>223</td>\n",
              "      <td>280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>성북구</th>\n",
              "      <td>448</td>\n",
              "      <td>521</td>\n",
              "      <td>241</td>\n",
              "      <td>174</td>\n",
              "      <td>258</td>\n",
              "      <td>843</td>\n",
              "      <td>566</td>\n",
              "      <td>245</td>\n",
              "      <td>140</td>\n",
              "      <td>160</td>\n",
              "      <td>263</td>\n",
              "      <td>300</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>송파구</th>\n",
              "      <td>221</td>\n",
              "      <td>359</td>\n",
              "      <td>146</td>\n",
              "      <td>138</td>\n",
              "      <td>347</td>\n",
              "      <td>1134</td>\n",
              "      <td>560</td>\n",
              "      <td>281</td>\n",
              "      <td>225</td>\n",
              "      <td>229</td>\n",
              "      <td>367</td>\n",
              "      <td>466</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>양천구</th>\n",
              "      <td>241</td>\n",
              "      <td>313</td>\n",
              "      <td>168</td>\n",
              "      <td>113</td>\n",
              "      <td>249</td>\n",
              "      <td>688</td>\n",
              "      <td>491</td>\n",
              "      <td>198</td>\n",
              "      <td>151</td>\n",
              "      <td>178</td>\n",
              "      <td>245</td>\n",
              "      <td>322</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>영등포구</th>\n",
              "      <td>307</td>\n",
              "      <td>348</td>\n",
              "      <td>146</td>\n",
              "      <td>122</td>\n",
              "      <td>241</td>\n",
              "      <td>602</td>\n",
              "      <td>420</td>\n",
              "      <td>207</td>\n",
              "      <td>154</td>\n",
              "      <td>206</td>\n",
              "      <td>265</td>\n",
              "      <td>322</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>용산구</th>\n",
              "      <td>103</td>\n",
              "      <td>80</td>\n",
              "      <td>37</td>\n",
              "      <td>31</td>\n",
              "      <td>125</td>\n",
              "      <td>260</td>\n",
              "      <td>178</td>\n",
              "      <td>108</td>\n",
              "      <td>103</td>\n",
              "      <td>125</td>\n",
              "      <td>141</td>\n",
              "      <td>164</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>은평구</th>\n",
              "      <td>313</td>\n",
              "      <td>355</td>\n",
              "      <td>203</td>\n",
              "      <td>175</td>\n",
              "      <td>235</td>\n",
              "      <td>548</td>\n",
              "      <td>491</td>\n",
              "      <td>194</td>\n",
              "      <td>150</td>\n",
              "      <td>180</td>\n",
              "      <td>224</td>\n",
              "      <td>242</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>종로구</th>\n",
              "      <td>65</td>\n",
              "      <td>57</td>\n",
              "      <td>43</td>\n",
              "      <td>27</td>\n",
              "      <td>55</td>\n",
              "      <td>115</td>\n",
              "      <td>97</td>\n",
              "      <td>49</td>\n",
              "      <td>34</td>\n",
              "      <td>76</td>\n",
              "      <td>64</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>중구</th>\n",
              "      <td>84</td>\n",
              "      <td>93</td>\n",
              "      <td>62</td>\n",
              "      <td>35</td>\n",
              "      <td>55</td>\n",
              "      <td>164</td>\n",
              "      <td>140</td>\n",
              "      <td>71</td>\n",
              "      <td>52</td>\n",
              "      <td>71</td>\n",
              "      <td>76</td>\n",
              "      <td>79</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>중랑구</th>\n",
              "      <td>237</td>\n",
              "      <td>364</td>\n",
              "      <td>207</td>\n",
              "      <td>136</td>\n",
              "      <td>220</td>\n",
              "      <td>469</td>\n",
              "      <td>343</td>\n",
              "      <td>156</td>\n",
              "      <td>103</td>\n",
              "      <td>154</td>\n",
              "      <td>159</td>\n",
              "      <td>196</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-56666f0a-22bc-4f17-9929-794378b27364')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "    .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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              "\n",
              "    .colab-df-convert:hover {\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "          const element = document.querySelector('#df-56666f0a-22bc-4f17-9929-794378b27364');\n",
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              "                                                     [key], {});\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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              "  "
            ],
            "text/plain": [
              "거래월    1     2    3    4    5     6    7    8    9    10   11   12\n",
              "시군구명                                                              \n",
              "강남구   131   237  135  145  331   789  365  227  177  215  418  462\n",
              "강동구   336   392  165  127  317   871  558  314  200  195  328  340\n",
              "강북구   313   262  161   99  132   371  207   95   78  122  107  158\n",
              "강서구   425   459  247  188  327  1128  956  413  303  330  456  423\n",
              "관악구   235   296  178  139  165   503  298  116  116  128  179  218\n",
              "광진구    63   113   52   40   79   229  194   93   76   72  105  128\n",
              "구로구   443   574  310  229  356   864  551  257  219  234  463  370\n",
              "금천구   125   185  176   53   99   228  174   89   67   67  116  255\n",
              "노원구   815  1154  625  371  621  1722  927  381  308  395  620  774\n",
              "도봉구   367   563  308  199  280   845  604  200  147  204  301  354\n",
              "동대문구  287   343  172  121  215   529  387  200  154  162  230  283\n",
              "동작구   208   278  118   50  148   535  483  217  146  152  215  276\n",
              "마포구   182   211  112   63  162   491  469  209  164  180  261  246\n",
              "서대문구  227   271  137   87  186   491  377  180  157  167  200  232\n",
              "서초구   121   178  116   94  212   545  431  275  199  232  322  430\n",
              "성동구   206   284  151   76  176   646  386  204  143  142  223  280\n",
              "성북구   448   521  241  174  258   843  566  245  140  160  263  300\n",
              "송파구   221   359  146  138  347  1134  560  281  225  229  367  466\n",
              "양천구   241   313  168  113  249   688  491  198  151  178  245  322\n",
              "영등포구  307   348  146  122  241   602  420  207  154  206  265  322\n",
              "용산구   103    80   37   31  125   260  178  108  103  125  141  164\n",
              "은평구   313   355  203  175  235   548  491  194  150  180  224  242\n",
              "종로구    65    57   43   27   55   115   97   49   34   76   64   67\n",
              "중구     84    93   62   35   55   164  140   71   52   71   76   79\n",
              "중랑구   237   364  207  136  220   469  343  156  103  154  159  196"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "# 거래월과 시군구별 거래량(거래 건 수)을 피벗테이블로 생성하고,\n",
        "# temp 변수에 저장합니다.\n",
        "temp = df.pivot_table(index='시군구명',columns='거래월',values='거래금액',aggfunc='count')\n",
        "temp"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 625
        },
        "id": "p0ZvP2GVhQ8g",
        "outputId": "35b3ad8d-b4de-48b6-cd52-280cba4ea221",
        "scrolled": true
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fda869ec7d0>"
            ]
          },
          "metadata": {},
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "image/png": {
              "width": 604,
              "height": 591
            },
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(10,10))\n",
        "sns.heatmap(temp)\n",
        "# 위 temp 데이터(거래량)를 heatmap으로 시각화 합니다."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 524
        },
        "id": "3s6Tmyn8hQ8h",
        "outputId": "eb13758e-c7c7-4c14-b274-716d78d0e96e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "image/png": {
              "width": 740,
              "height": 507
            },
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "plt.figure(figsize=(12,8))\n",
        "# 원본 데이터(df)의 시군구별 거래 금액을 boxplot을 이용하여 시각화 해보세요.\n",
        "sns.boxplot(x=\"시군구명\", y=\"거래금액\", data=df, palette=\"Set1\")\n",
        "\n",
        "plt.xticks(rotation=90)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "bEId0FDrhQ8i",
        "outputId": "848c4a23-d368-4199-be86-cf771799c68f",
        "scrolled": true
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-b0f233e2-c14a-4aa8-9587-6536dcf33648\">\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>mean</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>아파트이름</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>효성빌라 청담101(A동)</th>\n",
              "      <td>620000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>상지리츠빌 카일룸</th>\n",
              "      <td>565400.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>청담 어퍼하우스</th>\n",
              "      <td>519500.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>한양8(81동한개동)</th>\n",
              "      <td>491600.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>아펠바움</th>\n",
              "      <td>480000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>로덴하우스 웨스트빌리지</th>\n",
              "      <td>471666.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>한남더힐</th>\n",
              "      <td>470461.538462</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>삼성동라테라스</th>\n",
              "      <td>470000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>트라움하우스3</th>\n",
              "      <td>460000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>레베빌</th>\n",
              "      <td>450000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>UPPER HOUSE 2</th>\n",
              "      <td>450000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>논현라폴리움</th>\n",
              "      <td>445000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>신현대11차</th>\n",
              "      <td>438583.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>현대7차(73~77,82,85동)</th>\n",
              "      <td>436386.363636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>현대2차(10,11,20,23,24,25동)</th>\n",
              "      <td>425000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>압구정하이츠파크</th>\n",
              "      <td>421666.666667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>상지리츠빌카일룸(1009-4)</th>\n",
              "      <td>420000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>로덴하우스 이스트빌리지</th>\n",
              "      <td>416250.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>상지리츠빌카일룸3차</th>\n",
              "      <td>400000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>갤러리아 포레</th>\n",
              "      <td>398751.461538</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>이니그마빌2</th>\n",
              "      <td>396000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>현대1차(12,13,21,22,31,32,33동)</th>\n",
              "      <td>382880.555556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>반포 주공1단지</th>\n",
              "      <td>382660.975610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>레베빌(798-1)</th>\n",
              "      <td>380000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>현대6차(78~81,83,84,86,87동)</th>\n",
              "      <td>378545.454545</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>이니그마빌</th>\n",
              "      <td>355000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>선데일</th>\n",
              "      <td>350000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>대우로얄카운티3</th>\n",
              "      <td>347000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>현대4차저층(51~56동)</th>\n",
              "      <td>345000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>현대하이페리온II</th>\n",
              "      <td>343000.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b0f233e2-c14a-4aa8-9587-6536dcf33648')\"\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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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-b0f233e2-c14a-4aa8-9587-6536dcf33648 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-b0f233e2-c14a-4aa8-9587-6536dcf33648');\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": [
              "                                      mean\n",
              "아파트이름                                     \n",
              "효성빌라 청담101(A동)               620000.000000\n",
              "상지리츠빌 카일룸                    565400.000000\n",
              "청담 어퍼하우스                     519500.000000\n",
              "한양8(81동한개동)                  491600.000000\n",
              "아펠바움                         480000.000000\n",
              "로덴하우스 웨스트빌리지                 471666.666667\n",
              "한남더힐                         470461.538462\n",
              "삼성동라테라스                      470000.000000\n",
              "트라움하우스3                      460000.000000\n",
              "레베빌                          450000.000000\n",
              "UPPER HOUSE 2                450000.000000\n",
              "논현라폴리움                       445000.000000\n",
              "신현대11차                       438583.333333\n",
              "현대7차(73~77,82,85동)           436386.363636\n",
              "현대2차(10,11,20,23,24,25동)     425000.000000\n",
              "압구정하이츠파크                     421666.666667\n",
              "상지리츠빌카일룸(1009-4)             420000.000000\n",
              "로덴하우스 이스트빌리지                 416250.000000\n",
              "상지리츠빌카일룸3차                   400000.000000\n",
              "갤러리아 포레                      398751.461538\n",
              "이니그마빌2                       396000.000000\n",
              "현대1차(12,13,21,22,31,32,33동)  382880.555556\n",
              "반포 주공1단지                     382660.975610\n",
              "레베빌(798-1)                   380000.000000\n",
              "현대6차(78~81,83,84,86,87동)     378545.454545\n",
              "이니그마빌                        355000.000000\n",
              "선데일                          350000.000000\n",
              "대우로얄카운티3                     347000.000000\n",
              "현대4차저층(51~56동)               345000.000000\n",
              "현대하이페리온II                    343000.000000"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "# 평균 거래 금액이 높은 상위 30개의 아파트 단지를 추출해서,\n",
        "# temp 변수에 저장하세요.\n",
        "temp = df.groupby('아파트이름')['거래금액'].agg(['mean']).sort_values('mean', ascending=False).head(30)\n",
        "temp"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o9Lbc72e6op9",
        "outputId": "42f8a89b-ca95-4475-e447-989f1a3e6c32"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['효성빌라 청담101(A동)', '상지리츠빌 카일룸', '청담 어퍼하우스', '한양8(81동한개동)', '아펠바움',\n",
              "       '로덴하우스 웨스트빌리지', '한남더힐', '삼성동라테라스', '트라움하우스3', '레베빌', 'UPPER HOUSE 2',\n",
              "       '논현라폴리움', '신현대11차', '현대7차(73~77,82,85동)', '현대2차(10,11,20,23,24,25동)',\n",
              "       '압구정하이츠파크', '상지리츠빌카일룸(1009-4)', '로덴하우스 이스트빌리지', '상지리츠빌카일룸3차', '갤러리아 포레',\n",
              "       '이니그마빌2', '현대1차(12,13,21,22,31,32,33동)', '반포 주공1단지', '레베빌(798-1)',\n",
              "       '현대6차(78~81,83,84,86,87동)', '이니그마빌', '선데일', '대우로얄카운티3',\n",
              "       '현대4차저층(51~56동)', '현대하이페리온II'],\n",
              "      dtype='object', name='아파트이름')"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "# 위에서 생성한 temp의 index만 추출해서,\n",
        "# 평균 거래 금액이 높은 상위 30개의 아파트 이름을 뽑아냅니다.\n",
        "apt_names = temp.index\n",
        "apt_names"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 640
        },
        "id": "EAxwlb3ihQ8i",
        "outputId": "6c5e7d0c-bc41-4b5b-cb51-3ded69c7201e",
        "scrolled": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "image/png": {
              "width": 740,
              "height": 623
            },
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# 위에서 구한 아파트의 데이터만 추출해서 result 변수에 저장합니다.\n",
        "result = df[df['아파트이름'].isin(apt_names)]\n",
        "\n",
        "# 시각화\n",
        "plt.figure(figsize=(12,8))\n",
        "\n",
        "# 추출한 데이터의 아파트별 거래 금액의 분포를 boxplot를 통해 표현하세요.\n",
        "sns.boxplot(x=\"아파트이름\", y=\"거래금액\", data=result, palette=\"Set1\")\n",
        "\n",
        "plt.xticks(rotation=90)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "UjEXb-09JsJG"
      },
      "execution_count": 23,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "3주차_데이터분석 아파트 실거래가 분석 II(나영훈).ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.5"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}