231016서울지하철23년9월승하차.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyNBzDqOqq1PBfSnV19L6CA3"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"gzHjizqc6sqd","executionInfo":{"status":"ok","timestamp":1697433492068,"user_tz":-540,"elapsed":33162,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"016b503d-e298-441c-aa29-fc8c7dc3aee9"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"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":"5fFqZuTE6vpx","executionInfo":{"status":"ok","timestamp":1697433515047,"user_tz":-540,"elapsed":9462,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"b65ce7dd-e4a1-4904-e156-5c4d9fca226b"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["Reading package lists... Done\n","Building dependency tree... Done\n","Reading state information... Done\n","The following NEW packages will be installed:\n","  fonts-nanum\n","0 upgraded, 1 newly installed, 0 to remove and 18 not upgraded.\n","Need to get 10.3 MB of archives.\n","After this operation, 34.1 MB of additional disk space will be used.\n","Get:1 http://archive.ubuntu.com/ubuntu jammy/universe amd64 fonts-nanum all 20200506-1 [10.3 MB]\n","Fetched 10.3 MB in 1s (6,929 kB/s)\n","debconf: unable to initialize frontend: Dialog\n","debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78, <> line 1.)\n","debconf: falling back to frontend: Readline\n","debconf: unable to initialize frontend: Readline\n","debconf: (This frontend requires a controlling tty.)\n","debconf: falling back to frontend: Teletype\n","dpkg-preconfigure: unable to re-open stdin: \n","Selecting previously unselected package fonts-nanum.\n","(Reading database ... 120875 files and directories currently installed.)\n","Preparing to unpack .../fonts-nanum_20200506-1_all.deb ...\n","Unpacking fonts-nanum (20200506-1) ...\n","Setting up fonts-nanum (20200506-1) ...\n","Processing triggers for fontconfig (2.13.1-4.2ubuntu5) ...\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: 12 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","/usr/share/fonts/truetype: skipping, looped directory detected\n","/usr/share/fonts/truetype/humor-sans: skipping, looped directory detected\n","/usr/share/fonts/truetype/liberation: skipping, looped directory detected\n","/usr/share/fonts/truetype/nanum: skipping, looped directory detected\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":["import matplotlib.pyplot as plt\n","\n","plt.rc('font', family = 'NanumBarunGothic')"],"metadata":{"id":"7mQc1qAv65aS","executionInfo":{"status":"ok","timestamp":1697433530665,"user_tz":-540,"elapsed":2,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":1,"outputs":[]},{"cell_type":"code","source":["csvPath = '/content/drive/MyDrive/구글클라우드인공지능개발자과정/공공데이터포털/CARD_SUBWAY_MONTH_202309.csv'"],"metadata":{"id":"P1OvhrZd7C3u","executionInfo":{"status":"ok","timestamp":1697433589216,"user_tz":-540,"elapsed":5,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["import pandas as pd\n","\n","df = pd.read_csv(csvPath, index_col=False)"],"metadata":{"id":"CuH0brjQ7Q34","executionInfo":{"status":"ok","timestamp":1697433840321,"user_tz":-540,"elapsed":6,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":7,"outputs":[]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"y67kAxjK7knW","executionInfo":{"status":"ok","timestamp":1697433842368,"user_tz":-540,"elapsed":10,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"c0df69a6-fb9b-41d1-9159-f8fa057ef290"},"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       사용일자  노선명    역명  승차총승객수  하차총승객수      등록일자\n","0  20230901  8호선    석촌    8717   10257  20230904\n","1  20230901  8호선    송파   10608   10097  20230904\n","2  20230901  8호선  가락시장    8858    9967  20230904\n","3  20230901  8호선    문정   23576   24374  20230904\n","4  20230901  8호선    장지   19342   17388  20230904"],"text/html":["\n","  <div id=\"df-168885fe-2701-4199-8b51-ba8f573db2f7\" 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>사용일자</th>\n","      <th>노선명</th>\n","      <th>역명</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>석촌</td>\n","      <td>8717</td>\n","      <td>10257</td>\n","      <td>20230904</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>송파</td>\n","      <td>10608</td>\n","      <td>10097</td>\n","      <td>20230904</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>가락시장</td>\n","      <td>8858</td>\n","      <td>9967</td>\n","      <td>20230904</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>문정</td>\n","      <td>23576</td>\n","      <td>24374</td>\n","      <td>20230904</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>장지</td>\n","      <td>19342</td>\n","      <td>17388</td>\n","      <td>20230904</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-168885fe-2701-4199-8b51-ba8f573db2f7')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-168885fe-2701-4199-8b51-ba8f573db2f7 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-168885fe-2701-4199-8b51-ba8f573db2f7');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-abc38b8c-d998-4d0e-a3a4-14040de29111\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-abc38b8c-d998-4d0e-a3a4-14040de29111')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-abc38b8c-d998-4d0e-a3a4-14040de29111 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["df['total'] = df['승차총승객수'] + df['하차총승객수']"],"metadata":{"id":"eT3ere6Y7l5m","executionInfo":{"status":"ok","timestamp":1697433848793,"user_tz":-540,"elapsed":411,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"DZ4V0KP974QB","executionInfo":{"status":"ok","timestamp":1697433849953,"user_tz":-540,"elapsed":7,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"b623870a-cd80-4efb-f7cd-d496b9057eb7"},"execution_count":10,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       사용일자  노선명    역명  승차총승객수  하차총승객수      등록일자  total\n","0  20230901  8호선    석촌    8717   10257  20230904  18974\n","1  20230901  8호선    송파   10608   10097  20230904  20705\n","2  20230901  8호선  가락시장    8858    9967  20230904  18825\n","3  20230901  8호선    문정   23576   24374  20230904  47950\n","4  20230901  8호선    장지   19342   17388  20230904  36730"],"text/html":["\n","  <div id=\"df-66f77e87-1a57-4272-8472-3ddaf5c88828\" 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>사용일자</th>\n","      <th>노선명</th>\n","      <th>역명</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>석촌</td>\n","      <td>8717</td>\n","      <td>10257</td>\n","      <td>20230904</td>\n","      <td>18974</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>송파</td>\n","      <td>10608</td>\n","      <td>10097</td>\n","      <td>20230904</td>\n","      <td>20705</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>가락시장</td>\n","      <td>8858</td>\n","      <td>9967</td>\n","      <td>20230904</td>\n","      <td>18825</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>문정</td>\n","      <td>23576</td>\n","      <td>24374</td>\n","      <td>20230904</td>\n","      <td>47950</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>장지</td>\n","      <td>19342</td>\n","      <td>17388</td>\n","      <td>20230904</td>\n","      <td>36730</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-66f77e87-1a57-4272-8472-3ddaf5c88828')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-66f77e87-1a57-4272-8472-3ddaf5c88828 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-66f77e87-1a57-4272-8472-3ddaf5c88828');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-980e5311-bc28-43d5-a8f5-8ab23f3e505d\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-980e5311-bc28-43d5-a8f5-8ab23f3e505d')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-980e5311-bc28-43d5-a8f5-8ab23f3e505d button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":10}]},{"cell_type":"code","source":["(df['노선명'].value_counts() / 30).sort_values(ascending = False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4rK_tT9oEKdR","executionInfo":{"status":"ok","timestamp":1697436972717,"user_tz":-540,"elapsed":3,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"3d9acffa-48db-4c5c-b755-047092fdc365"},"execution_count":68,"outputs":[{"output_type":"execute_result","data":{"text/plain":["5호선         56.000000\n","2호선         50.000000\n","7호선         42.033333\n","경부선         39.000000\n","6호선         37.900000\n","분당선         34.666667\n","3호선         33.733333\n","경원선         29.366667\n","경의선         27.066667\n","4호선         26.000000\n","9호선         25.000000\n","중앙선         21.000000\n","경인선         20.000000\n","경춘선         19.000000\n","8호선         18.000000\n","수인선         18.000000\n","공항철도 1호선    14.000000\n","우이신설선       13.000000\n","안산선         13.000000\n","9호선2~3단계    13.000000\n","신림선         11.000000\n","경강선         11.000000\n","일산선         10.300000\n","1호선         10.000000\n","과천선          8.000000\n","장항선          7.000000\n","서해선          3.000000\n","Name: 노선명, dtype: float64"]},"metadata":{},"execution_count":68}]},{"cell_type":"code","source":["df.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_hVkRJx8GZ2o","executionInfo":{"status":"ok","timestamp":1697436624452,"user_tz":-540,"elapsed":333,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"74507094-35e5-4dc8-dd77-838f64143c18"},"execution_count":59,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 18302 entries, 0 to 18301\n","Data columns (total 7 columns):\n"," #   Column  Non-Null Count  Dtype \n","---  ------  --------------  ----- \n"," 0   사용일자    18302 non-null  int64 \n"," 1   노선명     18302 non-null  object\n"," 2   역명      18302 non-null  object\n"," 3   승차총승객수  18302 non-null  int64 \n"," 4   하차총승객수  18302 non-null  int64 \n"," 5   등록일자    18302 non-null  int64 \n"," 6   total   18302 non-null  int64 \n","dtypes: int64(5), object(2)\n","memory usage: 1001.0+ KB\n"]}]},{"cell_type":"code","source":["date = pd.to_datetime(df['사용일자'].astype('str'))"],"metadata":{"id":"yd6iCJIeEKKa","executionInfo":{"status":"ok","timestamp":1697436698613,"user_tz":-540,"elapsed":502,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":61,"outputs":[]},{"cell_type":"markdown","source":["문법이 틀리지 않았는데 안될 때는 칼럼의 데이터타입을 의심해 봐라."],"metadata":{"id":"wKyJ7D9xHiWG"}},{"cell_type":"code","source":["df['요일'] = date.dt.weekday"],"metadata":{"id":"TUKu_JtLHIKu","executionInfo":{"status":"ok","timestamp":1697436767554,"user_tz":-540,"elapsed":322,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":63,"outputs":[]},{"cell_type":"code","source":["df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"KTSwIlgQHa2W","executionInfo":{"status":"ok","timestamp":1697436780465,"user_tz":-540,"elapsed":7,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"9aae961e-c5fe-4581-aa42-15e61a7cebde"},"execution_count":64,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       사용일자  노선명    역명  승차총승객수  하차총승객수      등록일자  total  요일\n","0  20230901  8호선    석촌    8717   10257  20230904  18974   4\n","1  20230901  8호선    송파   10608   10097  20230904  20705   4\n","2  20230901  8호선  가락시장    8858    9967  20230904  18825   4\n","3  20230901  8호선    문정   23576   24374  20230904  47950   4\n","4  20230901  8호선    장지   19342   17388  20230904  36730   4"],"text/html":["\n","  <div id=\"df-75589e06-4991-46a5-b141-796d1ce3e719\" 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>사용일자</th>\n","      <th>노선명</th>\n","      <th>역명</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","      <th>요일</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>석촌</td>\n","      <td>8717</td>\n","      <td>10257</td>\n","      <td>20230904</td>\n","      <td>18974</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>송파</td>\n","      <td>10608</td>\n","      <td>10097</td>\n","      <td>20230904</td>\n","      <td>20705</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>가락시장</td>\n","      <td>8858</td>\n","      <td>9967</td>\n","      <td>20230904</td>\n","      <td>18825</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>문정</td>\n","      <td>23576</td>\n","      <td>24374</td>\n","      <td>20230904</td>\n","      <td>47950</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>장지</td>\n","      <td>19342</td>\n","      <td>17388</td>\n","      <td>20230904</td>\n","      <td>36730</td>\n","      <td>4</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-75589e06-4991-46a5-b141-796d1ce3e719')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-75589e06-4991-46a5-b141-796d1ce3e719 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-75589e06-4991-46a5-b141-796d1ce3e719');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-ab5daa31-3d21-462e-b430-6d34801d250c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ab5daa31-3d21-462e-b430-6d34801d250c')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-ab5daa31-3d21-462e-b430-6d34801d250c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":64}]},{"cell_type":"markdown","source":["### 5호선 역만 모아봐"],"metadata":{"id":"finZOYuxEK4R"}},{"cell_type":"code","source":["line5_df = df[df['노선명'] == '5호선']"],"metadata":{"id":"soGveYjF75Vp","executionInfo":{"status":"ok","timestamp":1697434042741,"user_tz":-540,"elapsed":346,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":14,"outputs":[]},{"cell_type":"code","source":["line5_df['역명'].unique()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vELfy93jExHh","executionInfo":{"status":"ok","timestamp":1697436092421,"user_tz":-540,"elapsed":5,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"eb6bd251-d9f7-4f4b-8625-3f77ff6b6ee0"},"execution_count":50,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array(['하남검단산', '하남시청(덕풍·신장)', '하남풍산', '미사', '강일', '마천', '거여', '개롱', '오금',\n","       '방이', '올림픽공원(한국체대)', '둔촌동', '상일동', '고덕', '명일', '굽은다리(강동구민회관앞)',\n","       '길동', '강동', '천호(풍납토성)', '광나루(장신대)', '아차산(어린이대공원후문)', '군자(능동)',\n","       '장한평', '답십리', '마장', '왕십리(성동구청)', '행당', '신금호', '청구',\n","       '동대문역사문화공원(DDP)', '을지로4가', '종로3가', '광화문(세종문화회관)', '서대문',\n","       '충정로(경기대입구)', '애오개', '공덕', '마포', '여의나루', '여의도', '신길', '영등포시장',\n","       '영등포구청', '양평', '오목교(목동운동장앞)', '목동', '신정(은행정)', '까치산', '화곡', '우장산',\n","       '발산', '마곡', '송정', '김포공항', '개화산', '방화'], dtype=object)"]},"metadata":{},"execution_count":50}]},{"cell_type":"code","source":["len(line5_df['역명'].unique())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GDN9TCjhE2Tp","executionInfo":{"status":"ok","timestamp":1697436142657,"user_tz":-540,"elapsed":2,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"572e489f-bb98-4ed8-8c00-fbba73b4c292"},"execution_count":53,"outputs":[{"output_type":"execute_result","data":{"text/plain":["56"]},"metadata":{},"execution_count":53}]},{"cell_type":"code","source":["line5_df['역명'].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_s-yFKDKEptp","executionInfo":{"status":"ok","timestamp":1697436065961,"user_tz":-540,"elapsed":4,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"a7b09416-67d7-46cd-acbb-d5ee48d63162"},"execution_count":49,"outputs":[{"output_type":"execute_result","data":{"text/plain":["하남검단산             30\n","하남시청(덕풍·신장)       30\n","을지로4가             30\n","종로3가              30\n","광화문(세종문화회관)       30\n","서대문               30\n","충정로(경기대입구)        30\n","애오개               30\n","공덕                30\n","마포                30\n","여의나루              30\n","여의도               30\n","신길                30\n","영등포시장             30\n","영등포구청             30\n","양평                30\n","오목교(목동운동장앞)       30\n","목동                30\n","신정(은행정)           30\n","까치산               30\n","화곡                30\n","우장산               30\n","발산                30\n","마곡                30\n","송정                30\n","김포공항              30\n","개화산               30\n","동대문역사문화공원(DDP)    30\n","청구                30\n","신금호               30\n","고덕                30\n","하남풍산              30\n","미사                30\n","강일                30\n","마천                30\n","거여                30\n","개롱                30\n","오금                30\n","방이                30\n","올림픽공원(한국체대)       30\n","둔촌동               30\n","상일동               30\n","명일                30\n","행당                30\n","굽은다리(강동구민회관앞)     30\n","길동                30\n","강동                30\n","천호(풍납토성)          30\n","광나루(장신대)          30\n","아차산(어린이대공원후문)     30\n","군자(능동)            30\n","장한평               30\n","답십리               30\n","마장                30\n","왕십리(성동구청)         30\n","방화                30\n","Name: 역명, dtype: int64"]},"metadata":{},"execution_count":49}]},{"cell_type":"code","source":["import seaborn as sns\n","\n","sns.barplot(line5_df, x='역명', y='total')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":467},"id":"FISNHrOB8eqH","executionInfo":{"status":"ok","timestamp":1697433991724,"user_tz":-540,"elapsed":2852,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"f37f49ce-90f5-4ba9-b6ef-4cc22d644085"},"execution_count":13,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='역명', ylabel='total'>"]},"metadata":{},"execution_count":13},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["line5_df.sort_values('total', ascending = False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"vFhypwtW8uku","executionInfo":{"status":"ok","timestamp":1697434535476,"user_tz":-540,"elapsed":8,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"8d843e26-3e7c-4d26-aa04-2d94d3258cd8"},"execution_count":23,"outputs":[{"output_type":"execute_result","data":{"text/plain":["           사용일자  노선명              역명  승차총승객수  하차총승객수      등록일자  total\n","15719  20230926  5호선     광화문(세종문화회관)   43938   44108  20230929  88046\n","13022  20230922  5호선     광화문(세종문화회관)   38225   40775  20230925  79000\n","12395  20230921  5호선     광화문(세종문화회관)   37733   40226  20230924  77959\n","3732   20230907  5호선     광화문(세종문화회관)   37567   39957  20230910  77524\n","7097   20230912  5호선     광화문(세종문화회관)   37465   39890  20230915  77355\n","...         ...  ...             ...     ...     ...       ...    ...\n","17228  20230929  5호선  동대문역사문화공원(DDP)     851    1089  20231002   1940\n","17216  20230929  5호선           영등포구청    1030     896  20231002   1926\n","17837  20230930  5호선      충정로(경기대입구)     943     954  20231003   1897\n","17248  20230929  5호선              오금     930     907  20231002   1837\n","17223  20230929  5호선      충정로(경기대입구)     895     811  20231002   1706\n","\n","[1680 rows x 7 columns]"],"text/html":["\n","  <div id=\"df-e97afefe-d82b-475a-b2e0-8958fb996bf5\" 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>사용일자</th>\n","      <th>노선명</th>\n","      <th>역명</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>15719</th>\n","      <td>20230926</td>\n","      <td>5호선</td>\n","      <td>광화문(세종문화회관)</td>\n","      <td>43938</td>\n","      <td>44108</td>\n","      <td>20230929</td>\n","      <td>88046</td>\n","    </tr>\n","    <tr>\n","      <th>13022</th>\n","      <td>20230922</td>\n","      <td>5호선</td>\n","      <td>광화문(세종문화회관)</td>\n","      <td>38225</td>\n","      <td>40775</td>\n","      <td>20230925</td>\n","      <td>79000</td>\n","    </tr>\n","    <tr>\n","      <th>12395</th>\n","      <td>20230921</td>\n","      <td>5호선</td>\n","      <td>광화문(세종문화회관)</td>\n","      <td>37733</td>\n","      <td>40226</td>\n","      <td>20230924</td>\n","      <td>77959</td>\n","    </tr>\n","    <tr>\n","      <th>3732</th>\n","      <td>20230907</td>\n","      <td>5호선</td>\n","      <td>광화문(세종문화회관)</td>\n","      <td>37567</td>\n","      <td>39957</td>\n","      <td>20230910</td>\n","      <td>77524</td>\n","    </tr>\n","    <tr>\n","      <th>7097</th>\n","      <td>20230912</td>\n","      <td>5호선</td>\n","      <td>광화문(세종문화회관)</td>\n","      <td>37465</td>\n","      <td>39890</td>\n","      <td>20230915</td>\n","      <td>77355</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>17228</th>\n","      <td>20230929</td>\n","      <td>5호선</td>\n","      <td>동대문역사문화공원(DDP)</td>\n","      <td>851</td>\n","      <td>1089</td>\n","      <td>20231002</td>\n","      <td>1940</td>\n","    </tr>\n","    <tr>\n","      <th>17216</th>\n","      <td>20230929</td>\n","      <td>5호선</td>\n","      <td>영등포구청</td>\n","      <td>1030</td>\n","      <td>896</td>\n","      <td>20231002</td>\n","      <td>1926</td>\n","    </tr>\n","    <tr>\n","      <th>17837</th>\n","      <td>20230930</td>\n","      <td>5호선</td>\n","      <td>충정로(경기대입구)</td>\n","      <td>943</td>\n","      <td>954</td>\n","      <td>20231003</td>\n","      <td>1897</td>\n","    </tr>\n","    <tr>\n","      <th>17248</th>\n","      <td>20230929</td>\n","      <td>5호선</td>\n","      <td>오금</td>\n","      <td>930</td>\n","      <td>907</td>\n","      <td>20231002</td>\n","      <td>1837</td>\n","    </tr>\n","    <tr>\n","      <th>17223</th>\n","      <td>20230929</td>\n","      <td>5호선</td>\n","      <td>충정로(경기대입구)</td>\n","      <td>895</td>\n","      <td>811</td>\n","      <td>20231002</td>\n","      <td>1706</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1680 rows × 7 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e97afefe-d82b-475a-b2e0-8958fb996bf5')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-e97afefe-d82b-475a-b2e0-8958fb996bf5 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-e97afefe-d82b-475a-b2e0-8958fb996bf5');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-4d2c0239-a4af-4cfa-95b5-8978e92340f3\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4d2c0239-a4af-4cfa-95b5-8978e92340f3')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-4d2c0239-a4af-4cfa-95b5-8978e92340f3 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":23},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/google/colab/_quickchart_lib.py:75: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n","  plt.tight_layout()\n","/usr/local/lib/python3.10/dist-packages/google/colab/_quickchart_lib.py:26: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n","  plt.savefig(\n","/usr/local/lib/python3.10/dist-packages/google/colab/_quickchart_lib.py:148: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n","  plt.tight_layout()\n","/usr/local/lib/python3.10/dist-packages/google/colab/_quickchart_lib.py:26: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n","  plt.savefig(\n","/usr/local/lib/python3.10/dist-packages/google/colab/_quickchart_lib.py:137: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n","  plt.tight_layout()\n","/usr/local/lib/python3.10/dist-packages/google/colab/_quickchart_lib.py:26: UserWarning: Glyph 8722 (\\N{MINUS SIGN}) missing from current font.\n","  plt.savefig(\n"]},{"output_type":"display_data","data":{"text/plain":["<google.colab._quickchart_helpers.SectionTitle at 0x7c7782761330>"],"text/html":["<h4 class=\"colab-quickchart-section-title\">Distributions</h4>\n","<style>\n","  .colab-quickchart-section-title {\n","      clear: both;\n","  }\n","</style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def histogram(df, colname, num_bins=20, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[colname].plot(kind='hist', bins=num_bins, title=colname, figsize=(8*figscale, 4*figscale))\n","  plt.gca().spines[['top', 'right',]].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = histogram(_df_0, *['사용일자'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-9e14435a-eda8-4685-af2e-c53466750796\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYwAAADECAYAAACMRRb/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAAb/0lEQVR4nO3deVAUZ/4G8GdgcPAIIEpJWJQBa0WEyCFB8NoYFZWFTakJopsF\n","jSCs9yriuQsGIqJRy2OxsqIQ1wMTSwNK6aoRdT2JurpKvKKCK+KtKIIjM7y/P4jzcwS0GUYGxudT\n","NSXd0/3296UtH7t75n1lQggBIiKiNzAzdgFERNQ0MDCIiEgSBgYREUnCwCAiIkkYGEREJAkDg4iI\n","JGFgEBGRJAwMIiKShIFBRESSMDCIiEgSBgZRLcaOHYuYmBiddbt27YJSqdRZd/ToUYwYMQIODg6w\n","s7ND69at4ebmhmnTpuHhw4c6254/fx6DBg2CtbU1OnfujLS0NJ33ZTIZLly4UGtNL4/kExYWhoSE\n","BP06R6QHBgbRa1haWr72/eLiYvTt2xc+Pj64cOEC7t69i4cPHyI7Oxtnz57Fn/70J+22jx8/xoAB\n","A9C/f3/cvHkT69atQ3x8PL777rsa2x43bhxsbGxgY2MDW1tbWFlZwcHBwaD9I6oLBgZRLYqLi9G+\n","fXtJ27Zr104nXKytrWFjY6NzRZCbmwtLS0vExsaiZcuW8PPzw8SJE7F+/foa20xNTcWjR4/w6NEj\n","PHjwAOPHj4efn1/9OkVUDwwMolqcOnUKFhYWr93m/fffx6FDhzBp0iR06NABzs7OUCqVUCqVKCkp\n","0QkDmUxWbX+pg0Wr1WpkZmbij3/8Y906QWRADAyiGvz000+4efMmVq9e/cZ/1H19fWFjY4OMjAxc\n","u3YNBQUF+MMf/oAPP/wQrVu31m7Xt29fqFQqLFy4EKWlpTh+/DiWL1+O8PDwN9azYsUKaDQafPrp\n","pzrrv/zyS8jlcowfP16/jhLVgdzYBRA1RomJibC3t8cvv/yCb775Rufhd2FhIeRyOSwtLREZGQkA\n","ePDgAdLS0rB3714AwOnTp3Ht2jWUlpYCqAqVzz//HHv37sXUqVORkpKC999/H/Pnz68WAq/Kzc3F\n","woULYWtri9TUVEyYMEH73t/+9jc++KYGw8AgesXmzZuxfft2bN26FQ8ePMCkSZPg4+OjfX7g5OSE\n","goICZGRkaPdZvny5ThseHh46y05OTgAAV1dX5OTk1HrsV69m9u/fj9DQUGzduhUdOnSAv78/1Go1\n","pkyZUo8eEumHgUH0kp07d+KLL75AYmIihgwZAgC4ceMGgoKCkJmZqbPtqFGjAAB3797F4sWLsX//\n","fty5cwdmZmZQKpUICQnBn//8ZzRr1kxnvwULFmDBggU1Hr+kpATnz59H+/btMXv2bGzYsAEbN25E\n","7969AQB79+5FUFCQ5GcfRIbEwCD6lVqtRlJSEpYsWYLo6Gjt+vj4ePTs2ROlpaXVPmb75MkT9OzZ\n","E/7+/li7di06deqE58+fIy8vD7Gxsfj3v/+NLVu26Owzc+ZMzJw5s8Ya5HK59k87OzucPn0ajo6O\n","2vfd3d1x8uRJWFtb4/jx44bqOpEkDAyiX8nlchw+fLjG9/r37w+g6ot7Lzt16hQuX76MM2fOoHnz\n","5tp2PvroIyQkJGDo0KHV2kpISEBKSgqsra2rvde2bVvI5XIoFArMnTu3xlratm1bp34RGQo/JUVU\n","Dz4+PujYsSPGjRuH8+fPQ61Wo7y8HAcOHEBiYiKCg4Nr3E+j0eDZs2c1vnJzcxu4F0TSyARvhhLV\n","y+3bt5GSkoIff/wRN2/ehLm5OTp27IghQ4Zg4sSJUCgUxi6RyCAYGEREJAlvSRERkSQMDCIikoSB\n","QUREkjAwiIhIEpMMjGXLlhm7BCIik2OSgVFYWGjsEoiITI5JBgYRERkeA4OIiCRhYBARkSQMDCIi\n","koSj1b5CObP2yW3epGDB79+p4xrz2E3xuPXB89Q0jmvMYzfE301eYRARkSQMDCIikoSBQUREkjAw\n","iIhIEgYGERFJwsAgIiJJGBhERCQJA4OIiCRpkMAoLS1FVFQUZDIZ1Go1AODp06cYPnw43N3d4e7u\n","jh07dmi3z87O1q4PCwtDWVlZQ5RJRESv0SCBsWjRIgwaNEhn3Zdffom2bdsiPz8f27dvR2RkJB48\n","eIB79+4hKioKO3bsQH5+PmxtbZGUlNQQZRIR0Ws0yNAg8+bNq7Zu27Zt2LJlCwDAxcUFAQEB2L17\n","NyorK9GzZ084OzsDAKKjozF8+HDMnz+/xrZVKhVUKpXOOo1GY+AeEBGR0Z5hFBYWQqlUapednJxQ\n","UFBQ6/raJCcnw9raWueVl5f39gonInpHGS0wKisrYW5url2Wy+WorKysdX1tZs2ahZKSEp2Xn5/f\n","W62diOhdZLTRah0cHFBUVIROnToBAIqKiuDh4QEhBPLz87XbFRUVwcHBodZ2FAoFFAqFzrqXA4eI\n","iAzDaFcYISEhSE9PB1AVCrm5uQgMDERgYCByc3NRXFwMAEhLS0NISIixyiQiol8Z7QojMTERo0eP\n","hq+vL4CqYHhxJbF48WIEBQVBLpfD1dUVq1atMlaZRET0qwYNDCGE9ufWrVvjhx9+qHG7kSNHYuTI\n","kQ1UFRERScFvehMRkSQMDCIikoSBQUREkjAwiIhIEgYGERFJwsAgIiJJGBhERCQJA4OIiCRhYBAR\n","kSQMDCIikoSBQUREkugVGEOHDkVWVpZ2fm4iIjJ9egVGZGQktm3bhi5dumDy5Mk4deqUoesiIqJG\n","Rq/ACAoKQkZGBvLz8xEYGIilS5fCy8sLX3/9Ne7fv2/oGomIqBGo1zOM8+fP48cff8Tx48fRq1cv\n","WFhYYODAgdi0aZOh6iMiokZCr/kwlixZgnXr1sHS0hLR0dFISkpCixYtAAAxMTHw9fXFiBEjDFoo\n","EREZl16BcfnyZWRkZMDLy6vaewqFAhMnTnxjG2lpaUhLS9MuazQa3Lt3D/Hx8Zg7dy4cHR21723Z\n","skVnmYiIGp5egVFWVoaWLVtql8+cOYOFCxdiw4YNAICxY8e+sY3IyEhERkZqlzdu3Ijc3FztewkJ\n","CfqURkREb4lezzAuX76M3/72t9plT09PXL16tV6FfP3114iNjQUArF27Fj4+PujTpw8yMzPr1S4R\n","ERmGXlcYFRUVqKyshJlZVd6o1Wo8e/ZM7yJ27doFJycnuLq6wsnJCREREZDJZDh37hyCgoJgZ2eH\n","fv361bivSqWCSqXSWafRaPSuhYiIaqbXFUZgYCDCwsKQl5eHkydPIiIiAv3799e7iJSUFMTFxQEA\n","LC0tIZPJAAAeHh6Ijo5GTk5OrfsmJyfD2tpa55WXl6d3LUREVDO9AmPevHnw9PTExIkTERMTg44d\n","O2L+/Pl6FZCXlweNRoOAgIAa36+srISVlVWt+8+aNQslJSU6Lz8/P71qISKi2ul1S0oul2POnDmY\n","M2dOvQtISUnB9OnTtcubNm3CkCFDYGlpiaKiImRkZGD79u217q9QKKBQKHTWmZub17suIiLSpVdg\n","ZGVlIS4uDteuXYNGo4EQAjKZrM7PDi5duoRLly4hODhYu+727dvo3r07LCwsoFarsWzZMnTp0kWf\n","MomIyID0CozZs2cjMzMT7u7u9frffKdOnXD27FmddVOmTMGUKVP0bpOIiN4OvQLDxsYG3t7ehq6F\n","iIgaMb0eeg8bNgzx8fEoKSlBZWWl9kVERKZLryuMF1+wS0xMhEwm0/sZBhERNR16BQavJoiI3j16\n","3ZJ6/PgxZsyYgfDwcADAzz//jGPHjhm0MCIialz0CowxY8agTZs2yM/PBwDY29vrfJeCiIhMj16B\n","UVRUhLi4ODRr1gwAYGtry/m9iYhMnF6B8WLQwRfKy8urDQBIRESmRa/ACAkJQVRUFB4/fowtW7Yg\n","ODgYoaGhhq6NiIgaEb0+JTVjxgxs2LABjx8/xvfff4/w8HBEREQYujYiImpE9P5Y7YgRI3Tm7X55\n","fgwiIjI9eo9W+2LOipfxi3tERKar3l/ce/LkCVasWAELCwuDFUVERI1Pve8hvffee5g9eza2bt1q\n","iHqIiKiRkgkhRH0buXnzJgYMGKD9Ip+xTZ06FUuWLNFrX+XM2qeDJSJqrAoW/P6tH0OvW1Lt27fX\n","PsNQq9VQqVRYunSpQQsjIqLGRa/AOHTo0P83IJfD3t6e06ISEZk4vQLjypUrOssXL16sts3HH3/8\n","xnaUSiXs7e21y4MGDcJf//pXTJo0Cbm5uRBCIDY2FmPGjNGnTCIiMiC9AmPy5Mm4evUqvL29odFo\n","8J///Aeenp5o0aIFAEAmk0kKDADVRrldtWoVCgsLkZ+fj4cPH8Lb2xs9evSAm5ubPqUSEZGB6BUY\n","np6e2LRpEzw8PAAAp0+fxvz58/Hdd9/VqR0zMzMEBASgrKwMfn5+SExMxLZt2zBhwgTIZDLY2tpi\n","6NChyMrKqjUwVCpVtXGs+H0QIiLD0+tjtVeuXNGGBQB4eXmhqKiozu2cO3cOR48eRV5eHtq2bYvQ\n","0FAUFhZCqVRqt3FyckJBQUGtbSQnJ8Pa2lrnlZeXV+daiIjo9fQKDI1GgyNHjmiXz549i2fPntW5\n","nRe3sBQKBRITE3HixAk8f/5c5wG6XC5/7Qx/s2bNQklJic7Lz8+vzrUQEdHr6XVL6h//+AdCQ0PR\n","rFkzNGvWDMXFxVi/fn39i5HL4eDggKKiIri7uwOomnvDwcGh1n0UCgUUCoXOOn5ii4jI8PQKDC8v\n","L1y4cAGHDh1Cq1at0LlzZ+3VglRnz56FSqWCr68vAGDBggUICQmBt7c30tPTERgYqB0Nd/PmzfqU\n","SUREBqRXYOzfvx/h4eGQy+W4evUqDh06hAMHDmDOnDmS22jVqhXi4uJw69YtqNVqdOvWDampqbC0\n","tERMTAx8fHwAVN1y6tatmz5lEhGRAekVGLNnz8aRI0fw2WefAQB69eqFKVOm1CkwnJ2dsXPnzhrf\n","S09P16csIiJ6i/R66G1ubg5HR0eddXK5XtlDRERNhF6B0axZM9y6dUs7ntTp06fRrFkzgxZGRESN\n","i16XBcnJyRg8eDBu3LiB4OBgnDlzBt9//72hayMiokZEr8DYvXs3Dhw4gMOHDwMA/P390bp1a4MW\n","RkREjYtet6Sys7NhZWWFwYMHY/DgwQwLIqJ3gF5XGL1798aMGTMQHh6O5s2ba9e7uLgYrDAiImpc\n","9AqMF9OxvjzYoEwmw9WrVw1TFRERNTp6Bca1a9cMXQcRETVydXqG0aNHD+3PI0eONHgxRETUeNUp\n","MIQQ2p95lUFE9G7R61NSRET07qnTMwyZTAYhBIQQOj+/YGbG/CEiMlV1Coxjx45px4wSQuj8LJPJ\n","ODUqEZEJq1NgvG7mOyIiMm28h0RERJIwMIiISBKjBcbz588xd+5ceHl5wc/PDwMHDsSdO3eQkZEB\n","R0dH+Pv7a183btwwVplERPQro816VFxcjHbt2uHUqVMwMzPD9OnTsXTpUri6uiIyMhIJCQnGKo2I\n","iGpgtCsMJycnTJw4UftR3DZt2qCiogIAsHbtWvj4+KBPnz7IzMw0VolERPSSRjGv6vXr15GWloa9\n","e/fC3t4eERERkMlkOHfuHIKCgmBnZ4d+/frVuK9KpYJKpdJZx4/3EhEZntEfepeUlGDYsGFITU2F\n","UqmEpaWldupXDw8PREdHIycnp9b9k5OTYW1trfPKy8trqPKJiN4ZRg2M0tJSBAcHIzY2FoGBgTVu\n","U1lZCSsrq1rbmDVrFkpKSnRefn5+b6tkIqJ3ltECo7y8HCEhIRg1ahSGDx+uXb9p0yY8e/YMAFBU\n","VISMjAyEhobW2o5CoYCVlZXOy9zc/K3XT0T0rjHaM4w1a9YgLy8P5eXlWL16NQDA09MTbm5u6N69\n","OywsLKBWq7Fs2TJ06dLFWGUSEdGvjBYYEyZMwIQJE2p8b8qUKQ1bDBERvZHRH3oTEVHTwMAgIiJJ\n","GBhERCQJA4OIiCRhYBARkSQMDCIikoSBQUREkjAwiIhIEgYGERFJwsAgIiJJGBhERCQJA4OIiCRh\n","YBARkSQMDCIikoSBQUREkjAwiIhIEgYGERFJ0mgDIzs7G+7u7nB3d0dYWBjKysqMXRIR0TutUQbG\n","vXv3EBUVhR07diA/Px+2trZISkoydllERO+0RhkYu3fvRs+ePeHs7AwAiI6OxtatW2vcVqVS4fHj\n","xzovjUbTkOUSEb0T5MYuoCaFhYVQKpXaZScnJxQUFNS4bXJyMubNm6ezrnPnzpg6dSoAQKPRIC8v\n","D35+fjA3N3/jsYfqXXXDqWufGjv2p3Eztf4AptcnjUaDgIAkvfvj5OSEyZMnv3E7mRBC6FPg2/TV\n","V1/h0aNHWLRoEQCgtLQUtra2eP78ebVtVSoVVCqVzjqFQgGFQgEAePz4MaytrVFSUgIrK6u3X3wD\n","MLU+sT+Nm6n1BzC9PjVUfxrlFYaDgwPy8/O1y0VFRXBwcKhx25fDgYiI3p5G+QwjMDAQubm5KC4u\n","BgCkpaUhJCTEyFUREb3bGuUVxm9+8xssXrwYQUFBkMvlcHV1xapVq4xdFhHRO61RBgYAjBw5EiNH\n","jqx3OwqFAvHx8SZ128rU+sT+NG6m1h/A9PrUUP1plA+9iYio8WmUzzCIiKjxYWAQEZEkDAwiIpKE\n","gUFERJKYfGCY2qi3SqUS/v7+2ldCQoKxS6qz0tJSREVFQSaTQa1WAwCePn2K4cOHa8/Vjh07jFyl\n","dDX1JyMjA46Ojjrn6saNG0au9M2eP3+OuXPnwsvLC35+fhg4cCDu3LnTpM9PbX1qqudIrVZj8uTJ\n","+OCDD+Dv749+/frhwoUL0Gg0GD9+PLp06QI3NzesWbPG4Mc26U9J3bt3D+7u7jh27BicnZ0xbtw4\n","2NjYYP78+cYuTW9KpbLWcbWaivj4eHTt2hWffvopKioqIJfLMWPGDJSWluLvf/87rl69ih49euDn\n","n3+Gra2tsct9o5r6k5GRgYKCgiYX6IWFhcjOzsb48eNhZmaG6dOnQy6Xo7Kyssmen9r65Orq2iTP\n","UVlZGTZv3ozRo0cDAFavXo2dO3diwIAByMnJwfbt2/Hw4UN4e3tj165dcHNzM9ixTfoKoy6j3jYV\n","ZmZmCAgIgKenJ6KionDr1i1jl1Rn8+bNw7Bhw3TWbdu2DdHR0QAAFxcXBAQEYPfu3cYor85q6g8A\n","rF27Fj4+PujTpw8yMzONUFndOTk5YeLEiTAzq/qnoU2bNqioqGjS56e2PgFN8xy1aNFCGxYajQa/\n","/PILXFxcsG3bNowdOxYymQy2trYYOnQosrKyDHrsRvvFPUOoy6i3TcW5c+fQokULqFQqJCQkIDQ0\n","FAcPHjR2WfVmaucqLCwMERERkMlkOHfuHIKCgmBnZ4d+/foZuzTJrl+/jrS0NOzduxcrVqwwifPz\n","cp/s7e2b9Dl6EeKdOnXCrl270K1bt2rn6MKFCwY9pklfYVRWVuoM9fvi0ropa9GiBYCqb3YmJibi\n","xIkTKCkpMXJV9Wdq58rS0hIymQwA4OHhgejoaOTk5Bi5KulKSkowbNgwpKamQqlUmsT5ebVPTf0c\n","DRkyBLdu3UJwcDBGjBjRIOfIpAPDwcEBRUVF2uXXjXrbVMnlcm2INGWmfq4qKyubzDDapaWlCA4O\n","RmxsLAIDAwE0/fNTU59e1ZTO0QtmZmaIiYnBvn37GuYcCRN248YNYW9vL27evCmEECI2NlZMmDDB\n","yFXp77///a/46aeftMuJiYli5MiRRqyofgCIiooKIYQQ48ePFzNnzhRCVJ23du3aiaKiImOWV2cv\n","92fjxo2ivLxcCFHVHxcXF5Gfn2/M8iQpKysTH330kUhLS9NZ35TPT219aqrn6NixY2LPnj3a5XXr\n","1omePXuKRYsWibCwMCGEECUlJaJjx47ixIkTBj22ST/DMLVRb1u1aoW4uDjcunULarUa3bp1Q2pq\n","qrHLMojExESMHj0avr6+AKqGtG9K/4N91e3bt9G9e3dYWFhArVZj2bJl6NKli7HLeqM1a9YgLy8P\n","5eXlWL16NQDA09MTCxYsaLLnp7Y+ubm5Nclz1LFjR0yZMgUzZsyAhYUFrK2t8e2338LR0RExMTHw\n","8fEBAMyaNQvdunUz6LFN+mO1RERkOCb9DIOIiAyHgUFERJIwMIiISBIGBhERScLAICIiSRgYREQk\n","CQODiIgkYWAQEUlw6dIlhISEwNfXF56enkhKSqpxu9rmDqltXg4AOHToEPr06YNu3brBx8cHX331\n","lba9o0ePwtvbGx988AEGDRqk3efevXv47LPP4OvrC29vb6xfv/619Z86dUpn7g9/f3+0bNkShYWF\n","0n8JBv3eOBGRibh27Zr43e9+p13+5z//KU6ePCmEEKK8vFy0b99eXLhwodp+cXFxYty4cUIIIa5c\n","uSLatWsn7t+/LwoKCsTy5cuFRqMRQlQNVfRiuJUffvhBXL9+XQghxLNnz4SLi4s4c+aMqKioEI6O\n","juL48eNCCCFSUlLEiBEjhBBCREREiKSkJCFE1fAnvXr1Ejdu3JDcv4KCAuHu7q6tRwpeYRARSfD5\n","559rh92wtLREixYttPNqvKy2uUNeNy/HJ598gvbt2wMAiouLodFo0K5dO+Tl5cHOzg5+fn4AgLFj\n","xyIrKwuVlZU4ceIEPvnkEwBA8+bN0bdvX/zrX/8CUDXjY48ePdCjRw8MHDgQ169fr1bnkiVLMHny\n","ZG09UjAwiIjqKDU1FZ07d4aHh0e196TM7fJiXo4JEyborO/bty88PDyQnJyMdu3aVWvLxsYGFhYW\n","uHPnDrp27aqdEO7u3bvIzs7G7du3cfjwYWRmZmL//v04cuQIvvjiC0ybNk3nOPfv30dOTg7Cw8Pr\n","1G+THnyQiKiuDh48iLi4OKhUKly5cgX+/v547733sGfPHgDAnj17sGbNGuTm5ta4/5vmpXh1Xo6X\n","5ebm4n//+x8GDBgAFxeXam293N7SpUvxl7/8BR9++CGcnZ3Ru3dvtG3bFllZWbh06RL69OkDoGoO\n","8FenQFi5ciXGjBkDhUJRt1+O5JtXRETvkFefYQghxMGDB0XXrl1FcXFxrft16NBBXLx4UbscFhYm\n","0tPThRBCPHnyRPTq1UtkZma+9tiTJ08WCxcuFPv27RMBAQHa9U+fPhWWlpbi+fPn1fYZOHCgOHXq\n","lJg+fbpISUmpte2nT58KZ2dn8fDhw9fWUBPekiIikuD48eOIiYlBdnY27O3ttevVajU+/vhjXLx4\n","EQAQEhKC9PR0AFWTGOXm5iIwMBDl5eUICQnBqFGjMHz4cJ22V65cqZ05s7S0FLm5ufD29kZAQACu\n","Xr2K/Px8AEB6ejr69+8PCwsLnZk2N2zYgIqKCnh7e2Pw4MH49ttvcf/+fQBVn9o6ceKEdts1a9Zg\n","yJAhsLGxqfPvgLekiIhqoFQqsX//fu3y+PHjtR+ZfWH27NkIDAzE+fPn8ejRIwC1z+2ycuXKGufl\n","+Oabb9CmTRsMGjQIlZWVqKioQEREBPr37w8AWL9+PUaNGgUAsLe31+6bk5ODhQsXQi6Xw9nZGZs2\n","bQJQ9Rxk2rRpGDBgACwsLCCEwNy5cwFUhduKFSuwb98+vX4nnA+DiIgk4S0pIiKShIFBRESSMDCI\n","iEgSBgYREUnCwCAiIkkYGEREJAkDg4iIJGFgEBGRJAwMIiKShIFBRESSMDCIiEgSBgYREUnyf5ul\n","YClqlt0wAAAAAElFTkSuQmCC\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-9e14435a-eda8-4685-af2e-c53466750796\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-9e14435a-eda8-4685-af2e-c53466750796\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def histogram(df, colname, num_bins=20, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[colname].plot(kind='hist', bins=num_bins, title=colname, figsize=(8*figscale, 4*figscale))\n","  plt.gca().spines[['top', 'right',]].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = histogram(_df_1, *['승차총승객수'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-af23de94-62b8-471d-9982-b30fd056ebf6\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYsAAADECAYAAABumQ2GAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAAdqklEQVR4nO3df1RUZf4H8PfAwCi5gCTBIgnEKUUgIDgI2U81VIRT6i4gVtJR\n","xEhXXX+SntRKqUw9roppqKyrsa6lSfZjdYs8ZSKZaYrWqgTmhI4/YIhfAzPzfP9wvV8nGC9eBhng\n","/TrnnsN97vNcPvfq4X2ee2fuVQkhBIiIiG7BoaMLICIi+8ewICIiWQwLIiKSxbAgIiJZDAsiIpLF\n","sCAiIlkMCyIiksWwICIiWQwLok7k99+h1Wq1aGho6KBqqDthWFC3M2fOHIwaNarFbVu3boVarZaW\n","zZs3S9sWLlyIZ599tsVxzz33HHr16iUtaWlpsnWYzWZ4eXlh586dLW5/77334O7ujt69e+Oee+6B\n","Wq3Gnj17sHjxYkyZMgUA8Pjjj6OoqKjF8ZcuXYJKpcJPP/0kWwuRHIYFdSs///yzFABGo9FiW2Nj\n","I8aMGYOqqippGTNmTLN+N/v222/h6+uLwsJCuLu7w93dHR4eHvjiiy/wwAMPoK6uzurYNWvWQKfT\n","oampqcXtqampqKqqQmVlJcrLy+Ho6IgBAwa0+ljXrFkDtVqNXr16tXoMkTUMC+oWzGYzNm3ahMGD\n","B2P+/Pnw8PDAoEGD8Mknn8BkMgEA3nnnHYSHhyM8PBwREREIDw9H7969ceXKFav7jYqKwtmzZ3H2\n","7FmcO3cOJSUlyMzMBACsX78eLi4uzcZcunQJGRkZWLVqFXbs2CHNFM6cOWP192zfvh0BAQGtCgsh\n","BN58801s3LgREydOxBNPPIGvvvpKdhzRLQmiLm7evHnC29tbjBw5Uhw9elRq//TTT8WQIUOEl5eX\n","WLFiRbNxW7duFSEhIdL6ggULxPjx45v1a2pqEgcOHBAzZ84U3t7eQqPRiGeffVYcOHBA1NfXS/20\n","Wq0YOnSo8PLyEvPmzRN6vV4IIURdXZ1YtmyZ8PPzEyEhIeLUqVMW+6+oqBAeHh7ivffeE0IIsWjR\n","IuHs7Czc3NyEg4ODKCwsFEIIodPpxLp160RYWJiIjY0V//3vf4UQQnzwwQfC19dXPProo2LdunWi\n","srJS2Ymkbo1hQV3euXPnxMWLF61uv3btWrM/oHq9XgQGBor8/HypbcGCBUKlUglHR0cRFxcnhBBi\n","xIgRwtPTUzz++ONi9erV4ocffhDl5eVi3bp1Ii4uTvTu3Vt89NFH0j6OHDkiGhoarNZSWlpqsf7z\n","zz+L/v37i0mTJkltixYtEhkZGUIIIQIDA6WwOHDggBg3bpz47LPPmu3XYDCI/Px8MW3atFv+fiJr\n","1B09syFqTykpKbh48WKr+oaGhmLNmjUwmUx47rnncO7cOdx1110WfVJTU7Ft2zZpfceOHXB1dZXW\n","Y2JikJaWhszMTGRmZsJoNMLR0RHHjh3DjBkzWl33zJkz8d133yEnJwfp6elYunSp7JjHHnsMjz32\n","WIvbnJ2dkZKSgpSUlFbXQHQzhgV1aa+++ioaGxtb1feuu+5CTU0NkpOTUV1dja1bt2L8+PH44IMP\n","8NRTT1n0PX/+PB588MFm+6ipqcEPP/yA+fPnW7TPmTMHa9eubXXdffv2xenTp/HVV18hKCjIYluf\n","Pn2knwMDA+Hi4oLt27cjIyOj1fuvqalpdV8iAFAJwZcfUdd37do1bNiwAf/+979RUVEBR0dH9O3b\n","F08//TQmTpyInj17Ys+ePZg1axYiIyORl5eHnj17YseOHZg4cSLWrl2Ls2fPoqyszGJmocS3336L\n","DRs24IcffsDVq1fh7u6OAQMGYNKkSXjyySeb9ff397/l7Gjfvn0tzih+/PFHBAUFob6+Hj169GhT\n","zUT8NBR1eQaDATExMTh+/DjWrVuHkydP4vvvv8eyZcuwa9cuJCQkwGg04rPPPpM+odSzZ08AQHJy\n","Mr7++ms888wzVvf/97//HUOHDkVgYCACAwPRr18/DBgwADNnzkRlZaVF3/379+Pxxx9HZGQkPvnk\n","E5w5cwaff/45Ro0ahTFjxuAf//hHs/2XlZWhoaGhxcXd3R1ms9mm54uoRR1904SovR07dkwAEL/8\n","8kuzbV999ZUAIGpqamT309KnoXbs2CHc3NzEgQMHhMlkktp/+eUXER8fLxITEy36z5gxQwwdOrTF\n","/U+cOFH86U9/as0hSby8vKQb3L93+vRpAcDiE1lESnFmQV3egAEDEBgYiNmzZ+PUqVMwGo1obGzE\n","t99+i1deeQVPPPFEsxvZreXq6gqj0YiKigpUVlbCbDajvr4eFRUV0Ov1cHNzs+gfHx+PgwcP4p13\n","3sGVK1dgNptRVVWF/Px8fPDBB0hISLDFIRPZHO9ZULdw6dIlvPXWWzhw4AAqKipgNBpx7733IjEx\n","EbNmzWrTt5z379+PLVu24KeffsK1a9egVqvh7++P+Ph4vPjii83uF3z55ZdYs2YNTp8+jcuXL6Nn\n","z54ICQlBRkYGnn766bYeKlG7YFgQEZEsXoYiIiJZDAsiIpLFsCAiIlkMCyIiksWwICIiWV0yLFav\n","Xt3RJRARdSldMizKy8s7ugQioi6lS4YFERHZFsOCiIhkMSyIiEgWw4KIiGQxLIiISBZfq2on/Od/\n","rHhs2RujbFgJEVFzDAsbassffCIie8bLUEREJIthQUREsngZqgvg/Q4iam+cWRARkSyGBRERyWJY\n","EBGRLIYFERHJYlgQEZEshgUREclq97BobGzEwoULER4ejujoaAwfPhw6nQ55eXnw9fVFTEyMtFy4\n","cAEAcOjQIURERCA0NBQjRoyATqdr7zKJiOgW2j0sKioq4OXlhaNHj6K4uBgPPvggVq1aBQCYNGkS\n","ioqKpMXX1xdGoxFJSUnYsGEDTpw4gSFDhmDGjBntXSYREd1Cu38pz8/PD9OmTZPW7777bly5cgUA\n","sHnzZhQUFKBXr17IzMxESkoKiouL4enpiejoaADA5MmT0bdvX5jNZjg4NM82g8EAg8Fg0WYymdrx\n","iIiIup87+g3u8+fPIzc3F//5z3/g7e2NCRMmQKVS4eTJk4iPj4enpyd0Oh38/f2lMe7u7nBycoJO\n","p4O3t3ezfWZnZ2PJkiUWbTExMe19KERE3codu8Gt1+sxduxY5OTkwN/fHz169IBKpQIAhISEICMj\n","Ax9//DHMZjMcHR0txqrVapjN5hb3m5WVBb1eb7HcmJUQEZFt3JGZRU1NDRISEjB79mzExcW12Mds\n","NsPV1RU+Pj7QarVSe11dHWpra+Hp6dniOI1GA41GY9H2+7AhIqK2afeZRX19PRITE5GWlobk5GSp\n","PT8/Hw0NDQAArVaLvLw8JCUlITY2FqWlpSgpKQEAbNmyBcOGDYOTk1N7l0pERFa0+8xi06ZNKC4u\n","Rn19Pd59910AQFhYGIKCgjBo0CA4OTnBaDRi9erVGDhwIABg27ZtSEtLAwB4e3tL44iIqGOohBCi\n","o4uwtb/+9a9YuXLlHf+9nfFNeXxEORG1Br/BTUREshgWREQki2FBRESyGBZERCSLYUFERLIYFkRE\n","JIthQUREshgWREQki2FBRESyGBZERCSLYUFERLIYFkREJIthQUREshgWREQkq93DorGxEQsXLkR4\n","eDiio6MxfPhw6HQ61NbWIjk5GcHBwQgODsbevXulMQUFBVJ7SkoK6urq2rtMIiK6hXZ/+VFFRQW8\n","vLxw9OhRODg4YM6cOVi1ahXMZjP69OmDkpISlJaW4uGHH8apU6dgNpuRnp6OoqIiBAQEIDMzE6+/\n","/jqWLVvW3qUSEZEVimYWY8aMwZ49e2A0GmX7+vn5Ydq0aXBwuP6r7r77bjQ1NWH37t3IyMgAANx3\n","332IjY3Fvn37sG/fPgwePBgBAQEAgIyMDOzatcvq/g0GA6qrqy0Wk8mk5LCIiMgKRWExadIk7N69\n","GwMHDsT06dNx9OjRVo07f/48cnNzMXXqVJSXl8Pf31/a5ufnh7KyMqvt1mRnZ8PNzc1iKS4uVnJY\n","RERkhaKwiI+PR15eHkpKShAXF4dVq1YhPDwcb7/9Nq5evdriGL1ej7FjxyInJwf+/v4wm81wdHSU\n","tqvVapjNZqvt1mRlZUGv11ss0dHRSg6LiIisaNMN7tOnT+Pzzz/H4cOH8cgjj8DJyQnDhw9Hfn6+\n","Rb+amhokJCRg9uzZiIuLAwD4+PhAq9VKfbRaLXx8fKy2W6PRaODq6mqx3Bw2RETUdorCYuXKlQgP\n","D8fkyZMRGhqKY8eOYe3atZg+fToOHjxocTO6vr4eiYmJSEtLQ3JystSemJiILVu2ALgeCIWFhYiL\n","i0NcXBwKCwtRUVEBAMjNzUViYmJbjpGIiNpI0aehzpw5g7y8PISHhzfbptFoMG3aNGl906ZNKC4u\n","Rn19Pd59910AQFhYGN544w288MILiIqKAnA9FG7MIFasWIH4+Hio1Wr0798f69evV1ImERHZiKKw\n","qKurw1133SWtHz9+HG+99Ra2b98OAJg8ebK0berUqZg6dWqL+/nwww9bbE9NTUVqaqqS0oiIqB0o\n","ugx15swZ3H///dJ6WFgYSktLbVYUERHZF0Vh0dTUZPEJJaPRiIaGBpsVRURE9kVRWMTFxSElJQXF\n","xcX47rvvMGHCBAwbNszWtRERkZ1QFBZLlixBWFgYpk2bhilTpiAwMJCP4yAi6sIU3eBWq9VYsGAB\n","FixYYOt6iIjIDimaWezZswf9+/eHs7MzHB0d4eDgwC/CERF1YYrC4uWXX8Y///lP1NTUoLGxEU1N\n","TWhsbLR1bUREZCcUXYZyd3dHRESErWshIiI7pWhmMXbsWCxatAh6vV56+N+tHvZHRESdm6KZxezZ\n","swEAr732GlQqFYQQUKlUfI8EEVEXpSgsOIsgIupeFF2Gqq6uxrx58/D8888DAE6dOoWioiKbFkZE\n","RPZDUVhMnDgRd999N0pKSgAA3t7emDNnjk0LIyIi+6EoLLRaLebOnQtnZ2cAgIeHR6vex01ERJ2T\n","orBwcLAcVl9fD4PBYLV/TU0N0tPToVKppFDJy8uDr68vYmJipOXChQsAgEOHDiEiIgKhoaEYMWIE\n","dDqdkjKJiMhGFIVFYmIi0tPTUV1djffffx8JCQlISkqy2n/58uUYMWJEs/ZJkyahqKhIWnx9fWE0\n","GpGUlIQNGzbgxIkTGDJkCGbMmKGkTCIishFFn4aaN28etm/fjurqauzcuRPPP/88JkyYYLX/kiVL\n","WmzfvHkzCgoK0KtXL2RmZkpPsvX09ER0dDSA6y9S6tu3L8xmc7MZDQAYDIZmsxp+hJeIyLYUf3R2\n","3LhxGDdunEVbS3/MrUlJScGECROgUqlw8uRJxMfHw9PTEzqdDv7+/lI/d3d3ODk5QafTwdvbu9l+\n","srOzm4VRTEzM7R8UERFZpegylFqthpOTU7PldvTo0QMqlQoAEBISgoyMDHz88ccwm83NHkqoVqut\n","frcjKysLer3eYrkxKyEiItto85fyfvvtN6xZs+a2w6Klfbq6usLHxwdarVZqr6urQ21tLTw9PVsc\n","p9FooNFoLNr4BFwiIttSNLO42R/+8Ae8/PLL2LVr122Ny8/Pl17FqtVqkZeXh6SkJMTGxqK0tFT6\n","DseWLVswbNiwNocREREpp2hm8Xu//vorqqurb2vMpUuXMGjQIDg5OcFoNGL16tUYOHAgAGDbtm1I\n","S0sDcP0Lf++++64tyiQiIoUUhcW9994r3W8wGo0wGAxYtWqV7DghhPTzjBkzrH4kdtiwYXynNxGR\n","HVEUFl9//fX/70Cthre3N+8TEBF1YYrC4ty5cxbrP/30U7M+Q4YMUVYRERHZHUVhMX36dJSWliIi\n","IgImkwnff/89wsLC4OLiAgBQqVQMi07Cf/7HbRpf9sYoG1VCRPZMUViEhYUhPz8fISEhAIBjx45h\n","2bJl+Ne//mXT4oiIyD4o+ujsuXPnpKAAgPDwcIvvRhARUdeiKCxMJhO++eYbaf3EiRPSdyaIiKjr\n","UXQZauPGjUhKSoKzszOcnZ1RUVGBbdu22bo2Iqvacq+F91mIbp+isAgPD8ePP/6Ir7/+Gr169cKA\n","AQOkm9udXVtv+BIRdUWKLkN9+eWX8Pf3R1paGh566CEcPXoUS5cutXVtRERkJxSFxcsvv4xvvvkG\n","Xl5eAIBHHnkEu3fvtmlhRERkPxSFhaOjI3x9fS3a1GqbPGaKiIjskKKwcHZ2xsWLF6XnQx07dgzO\n","zs42LYyIiOyHoulAdnY2Ro4ciQsXLiAhIQHHjx/Hzp07bV0bERHZCUVhsW/fPhw4cAAHDx4EcP01\n","pr1797ZpYdQ58COsRN2DostQBQUFcHV1xciRIzFy5EjZoKipqUF6ejpUKhWMRiMAoLa2FsnJyQgO\n","DkZwcDD27t1rsf8b7SkpKairq1NSJhER2YiisHj00Ucxb948lJSUoLS0VFqsWb58OUaMGGHR9uqr\n","r6JPnz4oKSnBRx99hEmTJuHatWu4cuUK0tPTsXfvXpSUlMDDwwOvv/66kjKJiMhGFF2GuvEK1Zsf\n","HKhSqawGxpIlS5q17d69G++//z4A4L777kNsbCz27dsHs9mMwYMHIyAgAACQkZGB5ORkLFu2rMV9\n","GwwGGAwGizaTyXT7B0VERFYpCouff/65zb+4vLwc/v7+0rqfnx/KysoghGix3Zrs7OxmYRQTE9Pm\n","+oiI6P/d1mWohx9+WPo5NTW1Tb/YbDZbvF1PrVbDbDZbbbcmKysLer3eYomOjm5TbUREZOm2ZhY3\n","v0O7rbMLHx8faLVaPPDAAwAArVaLkJAQCCFQUlIi9dNqtfDx8bG6H41GA41GY9HGV7x2DnwOF1Hn\n","oegGty0kJiZiy5YtAK4HQmFhIeLi4hAXF4fCwkJUVFQAAHJzc5GYmNhRZRIREW5zZqFSqSCEgBDC\n","4ucbHBxanz2vvfYaXnjhBURFRQG4Hgo3ZhArVqxAfHw81Go1+vfvj/Xr199OmUREZGO3FRZFRUXS\n","M6CEEBY/q1Qq2U8h3RwsvXv3xocffthiv9TU1DbfEyEiItu5rbC41Y1mIiLqujrsngUREXUeDAsi\n","IpLFsCAiIll8YxF1O3xSLtHt48yCiIhkMSyIiEgWw4KIiGQxLIiISBbDgoiIZDEsiIhIFsOCiIhk\n","MSyIiEgWv5RHdIe09WVP/EIgdaQOn1n4+/sjJiZGWhYvXgyTyYSXXnoJAwcORFBQEDZt2tTRZRIR\n","dWt2MbMoKiqyWF+/fj3Ky8tRUlKCyspKRERE4OGHH0ZQUFAHVUhE1L11+MzCwcEBsbGxCAsLQ3p6\n","Oi5evIjdu3dj8uTJUKlU8PDwwJgxY7Bnz54WxxsMBlRXV1ssci9hIiKi29PhYXHy5EkcOnQIxcXF\n","6NOnD5KSklBeXg5/f3+pj5+fH8rKylocn52dDTc3N4uluLj4zhRPRNRNdHhYuLi4AAA0Gg1ee+01\n","HDlyBI2NjXB0dJT6qNVqq2/py8rKgl6vt1iio6PvSO1ERN2FXdyzuJlarYaPjw+0Wi2Cg4MBAFqt\n","Fj4+Pi3212g00Gg0Fm03Bw0RdRw+Dr7r6NCZxYkTJ3DkyBFp/Y033kBiYiJGjx6NLVu2AACqq6ux\n","c+dOJCYmdlSZRETdXofOLHr16oW5c+fi4sWLMBqNiIyMRE5ODnr06IEpU6bgoYceAnD9UlNkZGRH\n","lkpE1K11aFgEBATg008/bXHbjZkFERF1vA6/wU1ERPaPYUFERLLs7tNQRPasrc93IuqsOLMgIiJZ\n","DAsiIpLFsCAiIlkMCyIiksWwICIiWQwLIiKSxbAgIiJZDAsiIpLFsCAiIlkMCyIiksXHfRDRLXXG\n","R5zwpUu2Z7dhUVBQgKysLABAaGgoNm/eLL2Clag76m5/ADtjSHVldhkWV65cQXp6OoqKihAQEIDM\n","zEy8/vrrWLZsWUeXRkRdXFtDqjMGc2vY5T2Lffv2YfDgwQgICAAAZGRkYNeuXS32NRgMqK6utlhM\n","JtOdLJeIqMtTCSFERxfxe9nZ2bh8+TJWrlwJAKiqqoK3tzcaGhqa9V28eDGWLFli0TZgwACMHDnS\n","6v5NJhOKi4sRHR0NR0dH2xbfifG8WMdz0zKel5Z1tvPi5+eH6dOn37KPXYbF0qVLUVVVheXLlwMA\n","ampq4OHhgcbGxmZ9DQYDDAaDRZtGo4FGo7G6/+rqari5uUGv18PV1dW2xXdiPC/W8dy0jOelZV3x\n","vNjlPQsfHx+UlJRI61qtFj4+Pi32lQsGIiJqO7u8ZxEXF4fCwkJUVFQAAHJzc5GYmNjBVRERdV92\n","ObPo27cvVqxYgfj4eKjVavTv3x/r16/v6LKIiLotuwwLAEhNTUVqamq77Fuj0WDRokW8fPU7PC/W\n","8dy0jOelZV3xvNjlDW4iIrIvdnnPgoiI7AvDgoiIZDEsiIhIFsOCiIhkdbuwKCgoQHBwMIKDg5GS\n","koK6urqOLsnmampqkJ6eDpVKBaPRCACora1FcnKydOx79+6V+ls7J0rG2LPGxkYsXLgQ4eHhiI6O\n","xvDhw6HT6br9uTEajZg+fTpCQ0MRExODoUOH4scff4TJZMJLL72EgQMHIigoCJs2bZLGHDp0CBER\n","EQgNDcWIESOg0+kAQNGYzmDlypVwcnICAFy6dAnDhw9HaGgoIiIicPjwYanfxo0bERQUhIEDB2Lq\n","1Kkwm82Kx9gd0Y1cvnxZ3HPPPaK0tFQIIcSLL74osrKyOrgq23vllVfE+++/LwCIpqYmIYQQc+fO\n","FZmZmUIIIc6dOye8vLzE1atXb3lOlIyxZ2VlZeJvf/ubMJlMQgghZs+eLebPn9/tz01tba3YvHmz\n","tL5x40YxevRokZOTI0aNGiXMZrO4evWq6Nevnzh16pRoamoSvr6+4vDhw0IIId58800xbtw4IYRQ\n","NMbeHT58WEyYMEH4+fkJIYRISkoSb731lhBCiKKiItGvXz/R1NQkTp48Kfr16yeuXr0qzGazGDVq\n","lNiwYYPiMfamW4XF9u3bxejRo6X1Y8eOif79+3dgRe3r5rC4//77xfHjx6VtzzzzjMjPz7/lOVEy\n","pjPJzs4Ws2bN4rm5idFoFHPnzhWzZs0STz31lNizZ4+0bcaMGSI7O1scPHhQRERESO2VlZXCxcVF\n","mEwmRWPsWVVVlXjyySdFVVWV8PPzE0ajUbi4uIjKykqpT3h4uDh06JBYunSpmDlzptT+4YcfiuHD\n","hysaY4+61WWo8vJy+Pv7S+t+fn4oKyvrsHruJGvHfqtzomRMZ3H+/Hnk5uZi6tSpPDf/s3v3bvzx\n","j3/EwYMHsXjx4lYfo7u7O5ycnKDT6RSNsWcZGRlYunQp3NzcAAA6nQ4ajQbu7u5SH7l/eyVj7FG3\n","Cguz2WzxuGC1Wm2/1wdtzNqx3+qcKBnTGej1eowdOxY5OTnw9/fnufmf0aNH4+LFi0hISMC4ceNa\n","fYy32taaMfYqJycHISEhiI2Nldpsfeyd6f9LtwoLHx8faLVaaf1WT7Ptaqwd+63OiZIx9q6mpgYJ\n","CQmYPXs24uLiAPDc3MzBwQFTpkzBF1980epjrKurQ21tLTw9PRWNsVeFhYUoKChATEwMYmJiUFFR\n","gcTERFy7dg319fVSP7l/e09PT/z222+3NcYudfR1sDvpwoULwtvbW/z6669CiOs3OKdOndrBVbUf\n","3HTP4qWXXhLz588XQlw/D15eXkKr1d7ynCgZY8/q6urEE088IXJzcy3au/u5KSoqEvv375fWt27d\n","KgYPHiyWL18uUlJShBBC6PV6ERgYKI4cOSLq6+uFl5eXOHnypBBCiLVr14qEhAQhhFA0prO4cYN7\n","1KhR4p133hFCCHH8+HHh5eUl6uvrRXFxsXjggQdEdXW1MJvN4s9//rN4++23FY+xN90qLIS4fpM7\n","PDxcREVFifHjx4vq6uqOLqnd3BwW165dE08//bSIjIwUkZGR4qOPPpL6WTsnSsbYszVr1ggXFxcx\n","aNAgaZk8eXK3PzeXL18W48ePFw899JAYNGiQiIuLE2fPnhUNDQ0iLS1NREREiIiICIuQ3b9/v4iK\n","ihJRUVEiISFBVFRUCCGEojGdxY2wKCsrE0OGDBFRUVEiJiZGFBUVSX1WrFghwsLCRGRkpPjLX/4i\n","GhsbFY+xN3yQIBERyepW9yyIiEgZhgUREcliWBARkSyGBRERyWJYEBGRLIYFERHJYlgQEZEshgUR\n","EcliWBARkSyGBRERyWJYEBGRLIYFERHJ+j9Luvi+B2hNGQAAAABJRU5ErkJggg==\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-af23de94-62b8-471d-9982-b30fd056ebf6\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-af23de94-62b8-471d-9982-b30fd056ebf6\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def histogram(df, colname, num_bins=20, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[colname].plot(kind='hist', bins=num_bins, title=colname, figsize=(8*figscale, 4*figscale))\n","  plt.gca().spines[['top', 'right',]].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = histogram(_df_2, *['하차총승객수'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-8ffa4cfb-47fc-4a97-bfe0-01b6c5dac3ee\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYwAAADECAYAAACMRRb/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAAajElEQVR4nO3deVAUZ/4/8PfIAEpcQaNC0AiEiqBCGAKFeETjhYqwiVor13ok\n","iihi0GhE1Fo1UYlr1NrVRUUE42rYRBMC+k2ldCNakYjEuF54lIpgOaJ4cIicM/P8/rDsnyOHbTvK\n","CO9XVVfRTz9P8+nHFO/0MT0qIYQAERHRU7Rp7gKIiOjVwMAgIiJZGBhERCQLA4OIiGRhYBARkSwM\n","DCIikoWBQUREsjAwiIhIFgYG0Svkyc/ZarVaVFdXN1M11NowMKjFKywshFqtlhY7Oztp2/bt2+Hv\n","7y+t79ixw6hvSkqKtG3JkiX461//2uDvmDhxItq3by8tU6ZMeWpdBoMB9vb22L17d4Pbv/nmG9jZ\n","2aFjx47o2rUr1Go1MjIysGzZMsyYMQMAMHjwYOTk5DQ4/tatW1CpVLh48eJTayGSg4FBLZ6TkxN0\n","Op20lJaWNtivtrYW48aNQ2lpqbSMGzcOOp2u0X3//vvv6N69O7KysmBnZwc7Ozt06tQJBw8eRM+e\n","PVFZWdno2A0bNqC4uBh1dXUNbg8PD0dpaSlKSkpQWFgICwsLuLu7yz7uDRs2QK1Wo3379rLHEDWF\n","gUEtmq+vr9EZw+PL1KlTjfpu3rwZGo0GGo0G3t7e0Gg06NixI+7cudPk/i9fvozLly/jypUryMvL\n","Q3R0NABg06ZNsLGxqTfm1q1biIqKwvr16/Htt99KZwyXLl1q9Pfs2rULLi4usgJDCIHVq1cjKSkJ\n","U6dOxfvvv49ff/31qeOInoaBQS3a8ePHpTOL8vJyVFZWSuvbtm0z6vvJJ59If/wvXbqEpUuXwsPD\n","Aw4ODo3uX6VSQa1WIzc3F/Hx8XB3d8eyZcswePBgWFpaGt1fuHHjBoYPHw4vLy907NgRp0+fxoQJ\n","E3Dq1Ck4OTlhxIgR8PT0xPnz541+x82bNxEXF4elS5dKbampqbCzs8PVq1elttu3byMxMRHe3t7I\n","yMhAdnY2Nm/ejNWrVyM8PByDBg1CYmJio2dYRE8liFq4q1eviiFDhog2bdoItVotxo8fL0pKSoQQ\n","QqSmpoq+ffvWG1NWViZcXV1FWlqa1LZ48WKhUqmEhYWFCAgIEEIIMWrUKNGlSxcxePBg8Y9//EOc\n","Pn1aFBYWin/9618iICBAdOzYUezdu1fax/Hjx0V1dXWjtebn59er3c3NTUybNk1qW7p0qYiKihJC\n","COHq6iqysrKEEEIcPnxYhIWFiZ9//rnefmtqakRaWpqYPXt2k7+fqCnq5g4sohft448/Rtu2bZGb\n","m4uqqirMnj0bCxYsQFJSEgAgNzcXbdu2hZubG06dOgW9Xo+JEyfiypUreO2114z2FR4ejp07d0rr\n","3377LTp06CCt+/v7Y8qUKYiOjkZ0dDR0Oh0sLCxw8uRJzJkzR3bNc+fOxR9//IHExERERkZi5cqV\n","Tx0zaNAgDBo0qMFtVlZWCA0NRWhoqOwaiJ7EwKAW7/jx4zh06BDeffddAEBcXBzWrFkjbffz85Oe\n","NKqoqEBISAjKy8uxY8cORERE4Pvvv8eIESOM9nnt2jW888479X5XRUUFTp8+jYULFxq1f/bZZ9i4\n","caPsmrt164bz58/j119/Ra9evYy2de7cWfrZ1dUVNjY22LVrF6KiomTvv6KiQnZfokcYGNTiDRo0\n","CCkpKejduzdqamqwa9cuvPfee/X6ZWRkYN68efDx8cGePXvQrl07WFlZYezYsfX+2Pfo0UPxvYDf\n","f/8dW7ZswenTp3H37l3Y2dnB3d0d06ZNw5AhQ6R+j0LH2dkZN2/erLefL7/8EgBQXV2NiIgIRERE\n","GG2/cOECevXqhaqqKrRt21ZRrUSP401vavFSUlJw7949vPnmm3B3d4eTkxNWrVpl1Een0+Hnn3+W\n","nlxq164dACAkJARHjhzBhx9+2Oj+v/76awwbNgyurq5wdXVFjx494O7ujrlz56KkpMSo74EDBzB4\n","8GD4+Pjgp59+wqVLl/DLL79gzJgxGDduHP7973/X239BQQGqq6sbXOzs7GAwGJ5/kohk4BkGtXhd\n","u3bFN99802QftVqNTZs2NbhNo9E0Ou67775DbGwsMjMzMXDgQLRp8/D/wa5fv46oqChMnjwZmZmZ\n","Uv+ffvoJ/fv3x8yZM6U2Ozs7hIeH4+DBg8jMzMTEiROf4eiIXh6eYRA9hw4dOkCn06GoqAglJSUw\n","GAyoqqpCUVERysrKYGtra9Q/MDBQetz1zp07MBgMKC0tRVpaGr7//nsEBQU105EQPZ1KiCdeTkNE\n","z+TAgQNITU3FxYsXce/ePajVajg7OyMwMBAzZ86sd//g0KFD2LBhA86fP4/bt2+jXbt28PDwQFRU\n","FD744INmOgqip2NgEBGRLLwkRUREsjAwiIhIFgYGERHJ8sIDQ6fTITY2Fp6envD398ewYcNw4cIF\n","6PV6zJo1C71790avXr2MXgR39OhReHt7w9PTE6NGjUJxcfGLLpOIiJ7ihQdGbW0tNBoNzpw5g5yc\n","HISGhmLRokVISkpCYWEh8vLykJ2djc8//xznz5+HTqfDhAkTsGXLFpw5cwZDhw59pnfwEBHRi/FS\n","n5LS6/VYtGgR9Ho9Tp8+jZiYGPz5z38G8PBla/b29hg0aBBiYmJw4sQJAEBpaSm6deuG+/fvSx+K\n","elxNTQ1qamqM2rZu3Yp58+a9+AMiImpFXto9jPT0dLzxxhvIzs7GsmXLUFhYCGdnZ2m7k5MTCgoK\n","6rXb2dnB0tKy0ctSCQkJsLW1NVr27Nnzgo+GiKj1eWmBMXbsWNy8eRNBQUEICwuDwWCAhYWFtF2t\n","VsNgMNRrf3xbQ+Lj41FWVma0+Pn5vdBjISJqjV7qU1Jt2rTBjBkzcPDgQTg6OkKr1UrbtFotHB0d\n","67VXVlbiwYMH6NKlS4P7tLa2RocOHYyWJwOHiIie3wsPjGPHjuG///2vtL537154e3sjODgYqamp\n","AIDy8nLs3r0bwcHB6NevH/Lz85GXlwfg4VdRDh8+HJaWli+6VCIiasILf1utq6sr5syZg7i4OFha\n","WsLW1hZff/01unfvjhkzZkhfahMfHw8fHx8AwM6dOzFlyhQAgIODA7Zu3fqiyyQioqdoke+S+vTT\n","T7Fu3brmLoOIqEXh92GYCeeF/6d4bMGXY0xYCRFRw/hqECIikoWBQUREsjAwiIhIFgYGERHJwsAg\n","IiJZ+JRUC8AnrIjoZWBgmNDz/OEmIjJ3vCRFRESyMDCIiEgWBgYREcnCwCAiIlkYGEREJAsDg4iI\n","ZGFgEBGRLAwMIiKShYFBRESyMDCIiEgWBgYREcnCwCAiIlkYGEREJAsDg4iIZGFgEBGRLAwMIiKS\n","hYFBRESyMDCIiEgWBgYREcnCwCAiIlkYGEREJAsDg4iIZGFgEBGRLAwMIiKShYFBRESyMDCIiEgW\n","BgYREcnCwCAiIlkUBca4ceOQkZEBnU731L61tbVYsmQJNBoN/Pz8MHLkSBQXF+PBgwcICQlBnz59\n","0KdPH+zbt08ak5mZKbWHhoaisrJSSZlERGRCigJj2rRpSE9PR+/evREbG4sTJ0402reoqAj29vY4\n","ceIEcnNz8c4772D9+vX4/PPP0blzZ+Tl5WHv3r2YNm0a7t27hzt37iAyMhL79u1DXl4eOnXqhBUr\n","Vig+QCIiMg1FgREYGIjt27cjLy8PAQEBWL9+PTQaDb766ivcvXvXqK+TkxNmz56NNm0e/qrXX38d\n","dXV1SE9PR1RUFADgrbfeQr9+/bB//37s378fAwYMgIuLCwAgKioKP/zwQ6O11NTUoLy83GjR6/VK\n","DouIiJrwXPcwzp8/j19++QXHjh3DwIEDYWlpiZEjRyItLa3B/teuXUNycjJiYmJQWFgIZ2dnaZuT\n","kxMKCgoabW9MQkICbG1tjZbc3NznOSwiImqAosBYt24dNBoNpk+fDk9PT5w8eRIbN25EbGwssrOz\n","sWrVqnpjysrKMH78eCQmJsLZ2RkGgwEWFhbSdrVaDYPB0Gh7Y+Lj41FWVma0+Pn5KTksIiJqglrJ\n","oEuXLmH79u3QaDT1tllbW2P27NlGbRUVFQgKCsL8+fMREBAAAHB0dIRWq0XPnj0BAFqtFh4eHhBC\n","IC8vTxqr1Wrh6OjYaC3W1tawtrY2ans8cIiIyDQUnWFUVlbitddek9ZPnTqFiIgIaX369OnSz1VV\n","VQgODsaUKVMQEhIitQcHByM1NRXAw1DIyspCQEAAAgICkJWVhaKiIgBAcnIygoODlZRJREQmpPgM\n","4+2335bWvby8kJ+f32Dfbdu2ITc3F1VVVdi6davU/8svv8RHH30EX19fAA+D4dGZxNq1axEYGAi1\n","Wg03Nzds2rRJSZlERGRCigKjrq4OBoNBevJJp9Ohurq6wb4xMTGIiYlpcNuPP/7YYHt4eDjCw8OV\n","lEZERC+IoktSAQEBCA0NRW5uLv744w9MnjwZw4cPN3VtRERkRhQFxvLly+Hl5YXZs2djxowZcHV1\n","bfDJKCIiajkUXZJSq9VYvHgxFi9ebOp6iIjITCk6w8jIyICbmxusrKxgYWGBNm3a8FFWIqIWTlFg\n","LFq0CP/5z39QUVGB2tpa1NXVoba21tS1ERGRGVF0ScrOzg7e3t6mroWIiMyYojOM8ePHY+nSpSgr\n","K5Ne59HU6zuIiOjVp+gMY/78+QCAL774AiqVCkIIqFQqviWWiKgFUxQYPJsgImp9FF2SKi8vR1xc\n","HCZNmgQAOHfuHHJyckxaGBERmRdFgTF16lS8/vrr0ltlHRwc8Nlnn5m0MCIiMi+KAkOr1WLBggWw\n","srICAHTq1EnW93sTEdGrS1FgPHrp4CNVVVWoqakxSUFERGSeFAVGcHAwIiMjUV5ejj179iAoKAgT\n","JkwwdW1ERGRGFD0lFRcXh127dqG8vBy7d+/GpEmTMHnyZFPXRkREZkTxY7VhYWEICwszanvyUhUR\n","EbUcit9Wq1Kp6rXzg3tERC3Xc39w7/79+9iwYQMsLS1NVhQREZmf576G9Kc//QmLFi3CDz/8YIp6\n","iIjITCk6w3jSjRs3UF5ebopd0UvmvPD/nmt8wZdjTFQJEZk7RYHx5ptvSvcwdDodampqsH79epMW\n","RkRE5kVRYBw5cuT/70CthoODA79xj4iohVMUGFeuXDFav3jxYr0+Q4cOVVYRERGZJUWBERsbi/z8\n","fHh7e0Ov1+N///sfvLy8YGNjAwBQqVQMDCKiFkZRYHh5eSEtLQ0eHh4AgJMnT2LVqlX47rvvTFoc\n","ERGZD0WP1V65ckUKCwDQaDTQarUmK4qIiMyPosDQ6/X47bffpPUzZ86gurraZEUREZH5UXRJKikp\n","CRMmTICVlRWsrKxQVFSEnTt3mro2IiIyI4oCQ6PR4MKFCzhy5Ajat28Pd3d36YY3ERG1TIoC49Ch\n","Q5g0aRLUajXy8/Nx5MgRHD58GIsXLzZ1fS/d837ymYiopVJ0D2PRokX47bffYG9vDwAYOHAg0tPT\n","TVoYERGZF0WBYWFhge7duxu1qdUmeS0VERGZKUV/5a2srHDz5k3pfVInT56ElZWVSQujlu95Lv/x\n","pYdEL5+iwEhISMDo0aNx/fp1BAUF4dSpU9i9e7epayMiIjOiKDD279+Pw4cPIzs7GwDg7++Pjh07\n","mrQwIiIyL4ruYWRmZqJDhw4YPXo0Ro8ezbAgImoFFJ1hvPfee4iLi8OkSZPQrl07qf2tt95qsH9F\n","RQXmzp2L5ORk1NXVQa1W48GDB/j4449x9uxZAMDq1asRFBQE4GEgxcfHAwA8PT2RkpLCz3mYKT6G\n","TNR6KAqMR1/H+vjLBlUqFfLz8xvsv2bNGowaNQrJyclS2+eff47OnTsjLy8P+fn56N+/P86dOweD\n","wYDIyEjk5OTAxcUF0dHRWLFiBVatWqWkVCIiMhFFgXH16tVn6r98+fJ6benp6dizZw+Ah2cm/fr1\n","w/79+2EwGDBgwAC4uLgAAKKiohASEtJoYNTU1KCmpsaoTa/XP1N9RET0dM90D6N///7Sz+Hh4c/1\n","iwsLC+Hs7CytOzk5oaCgoNH2xiQkJMDW1tZoyc3Nfa7aiIiovmcKDCGE9POznmU8yWAwGH2tq1qt\n","hsFgaLS9MfHx8SgrKzNa/Pz8nqs2IiKqr9k+nu3o6AitVouePXsCALRaLTw8PCCEQF5entRPq9XC\n","0dGx0f1YW1vD2traqI3fL05EZHrPdIahUqkghIDBYDD6+dHyLIKDg5GamgrgYShkZWUhICAAAQEB\n","yMrKQlFREQAgOTkZwcHBz7RvIiIyvWc6w8jJyZHeGSWEMPpZpVI9083mL774Ah999BF8fX0BPAyG\n","R2cSa9euRWBgINRqNdzc3LBp06ZnKZOIiF4AlXj8xkQL8emnn2LdunWKxvJzBS0f30NFpIyiT3oT\n","EVHrw8AgIiJZGBhERCQLA4OIiGTh1+RRq8MvbiJShmcYREQkCwODiIhkYWAQEZEsDAwiIpKFgUFE\n","RLIwMIiISBYGBhERycLAICIiWRgYREQkCwODiIhkYWAQEZEsDAwiIpKFgUFERLIwMIiISBYGBhER\n","ycLvwyB6BvwuDWrNeIZBRESyMDCIiEgWXpIioibxMhw9wsAgekXwDzc1N16SIiIiWRgYREQkCy9J\n","Eb0kz3NJicgc8AyDiIhkYWAQEZEsvCRFRGaJT4WZH55hEBGRLAwMIiKShYFBRESyMDCIiEgWBgYR\n","Eclitk9JZWZmIj4+HgDg6emJlJQU2NjYNHNVRNTSPe8HLFvyE1pmGRh37txBZGQkcnJy4OLigujo\n","aKxYsQKrVq1q7tKI6BXQnJ+qb8mPA5tlYOzfvx8DBgyAi4sLACAqKgohISENBkZNTQ1qamqM2vR6\n","/Uupk4iaxtehtCwqIYRo7iKelJCQgNu3b2PdunUAgNLSUjg4OKC6urpe32XLlmH58uVGbe7u7hg9\n","enSj+9fr9cjNzYWfnx8sLCxMW/wrjPPSMM5LwzgvDXsV58XJyQmxsbFP7WeWgbFy5UqUlpZizZo1\n","AICKigp06tQJtbW19fo2dIZhbW0Na2vrRvdfXl4OW1tblJWVoUOHDqYt/hXGeWkY56VhnJeGteR5\n","MctLUo6OjsjLy5PWtVotHB0dG+z7tHAgIiLTMMvHagMCApCVlYWioiIAQHJyMoKDg5u5KiKi1s0s\n","zzC6deuGtWvXIjAwEGq1Gm5ubti0aVNzl0VE1KqZZWAAQHh4OMLDw1/Ivq2trbF06VJeynoC56Vh\n","nJeGcV4a1pLnxSxvehMRkfkxy3sYRERkfhgYREQkCwODiIhkYWAQEZEsrS4wMjMz0adPH/Tp0weh\n","oaGorKxs7pJMrqKiApGRkVCpVNDpdACABw8eICQkRDr2ffv2Sf0bmxMlY8xVbW0tlixZAo1GAz8/\n","P4wcORLFxcWtfl4AQKfTITY2Fp6envD398ewYcNw4cIF6PV6zJo1C71790avXr2wbds2aczRo0fh\n","7e0NT09PjBo1CsXFxQCgaIy5W7duHSwtLQEAt27dwsiRI+Hp6Qlvb28cO3ZM6peUlIRevXqhd+/e\n","iImJgcFgUDzGbIlW5Pbt26Jr164iPz9fCCHEzJkzRXx8fDNXZXp/+9vfxJ49ewQAUVdXJ4QQYsGC\n","BSI6OloIIcSVK1eEvb29uHv3bpNzomSMuSooKBD//Oc/hV6vF0IIMX/+fLFw4cJWPy9CCPHgwQOR\n","kpIirSclJYmxY8eKxMREMWbMGGEwGMTdu3dFjx49xLlz50RdXZ3o3r27OHbsmBBCiNWrV4uwsDAh\n","hFA0xpwdO3ZMTJ48WTg5OQkhhJgwYYL4+9//LoQQIicnR/To0UPU1dWJs2fPih49eoi7d+8Kg8Eg\n","xowZI7Zs2aJ4jLlqVYGxa9cuMXbsWGn95MmTws3NrRkrerEeD4y3335bnDp1Str24YcfirS0tCbn\n","RMmYV0VCQoKYN28e5+UJOp1OLFiwQMybN0+MGDFCZGRkSNvmzJkjEhISRHZ2tvD29pbaS0pKhI2N\n","jdDr9YrGmKvS0lIxZMgQUVpaKpycnIROpxM2NjaipKRE6qPRaMTRo0fFypUrxdy5c6X2H3/8UYwc\n","OVLRGHPWqi5JFRYWwtnZWVp3cnJCQUFBs9XzMjV27E3NiZIxr4Jr164hOTkZMTExnJfHpKen4403\n","3kB2djaWLVsm+zjt7OxgaWmJ4uJiRWPMVVRUFFauXAlbW1sAQHFxMaytrWFnZyf1edq/vZIx5qxV\n","BYbBYDB63bBarTb/a4Ym0tixNzUnSsaYu7KyMowfPx6JiYlwdnbmvDxm7NixuHnzJoKCghAWFib7\n","OJvaJmeMOUpMTISHhwf69esntZn6uF/F/15aVWA4OjpCq9VK6029BbelaezYm5oTJWPMWUVFBYKC\n","gjB//nwEBAQA4Lw8qU2bNpgxYwYOHjwo+zgrKyvx4MEDdOnSRdEYc5SVlYXMzEz4+/vD398fRUVF\n","CA4Oxr1791BVVSX1e9q/fZcuXXD//v1nGmPWmvua2Mt0/fp14eDgIG7cuCGEeHjjMyYmppmrenHw\n","2D2MWbNmiYULFwohHs6Dvb290Gq1Tc6JkjHmqrKyUrz//vsiOTnZqL21z4sQD2/EHjhwQFrfsWOH\n","GDBggFizZo0IDQ0VQghRVlYmXF1dxfHjx0VVVZWwt7cXZ8+eFUIIsXHjRhEUFCSEEIrGvAoe3fQe\n","M2aM2Lx5sxBCiFOnTgl7e3tRVVUlcnNzRc+ePUV5ebkwGAziL3/5i/jqq68UjzFXrSowhHh441uj\n","0QhfX18REREhysvLm7ukF+bxwLh375744IMPhI+Pj/Dx8RF79+6V+jU2J0rGmKsNGzYIGxsb0bdv\n","X2mZPn16q58XIR4+PRgRESHeffdd0bdvXxEQECAuX74sqqurxZQpU4S3t7fw9vY2CtsDBw4IX19f\n","4evrK4KCgkRRUZEQQiga8yp4FBgFBQVi6NChwtfXV/j7+4ucnBypz9q1a4WXl5fw8fERn3zyiait\n","rVU8xlzx5YNERCRLq7qHQUREyjEwiIhIFgYGERHJwsAgIiJZGBhERCQLA4OIiGRhYBARkSwMDCIi\n","koWBQUREsjAwiIhIFgYGERHJwsAgIiJZ/h9md0/pMWck3gAAAABJRU5ErkJggg==\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-8ffa4cfb-47fc-4a97-bfe0-01b6c5dac3ee\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-8ffa4cfb-47fc-4a97-bfe0-01b6c5dac3ee\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def histogram(df, colname, num_bins=20, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[colname].plot(kind='hist', bins=num_bins, title=colname, figsize=(8*figscale, 4*figscale))\n","  plt.gca().spines[['top', 'right',]].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = histogram(_df_3, *['등록일자'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-9c859d2f-8ca7-4d62-9f8f-916363204086\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYsAAADECAYAAABumQ2GAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAAYq0lEQVR4nO3de1BU1x0H8O/KAkYNKIhSooIalYgKKCKE6MRUVyDuZBKrIOkg\n","NiA+sD5CRR6pb1FTNRZjquKjU02cVCU8bBq0WU2JgTUSat2iNSJa6bYBLCACy2Nv/3C8dYXlwrKV\n","Zf1+Zu5k99yzl9/JDn73nrucKxMEQQAREVE7enV3AUREZPkYFkREJIlhQUREkhgWREQkiWFBRESS\n","GBZERCSJYUFERJIYFkREJIlhQUREkhgWREQkiWFB1IbevXvD3t4evXv3brUpFAqxX2VlJfr169fm\n","Zmdnh6ioKIPjFhcXIzg4GI6OjvD09ER6errBfplMhmvXrhmt6/HVecLDw7F+/XqzjJdIiry7CyCy\n","VBcuXEBAQEC7fZydnVFbW9vmvpSUFNy9e1d8XlNTg5kzZ2LlypU4deoUNBoN3nzzTTg4OGDevHmt\n","Xr906VJ8/PHHAIBevXqhubkZffv2hVar7cKoiEzDMwuiLrh37x5cXV3b3D744AODviqVCr1790Z8\n","fDz69u0Lf39/LF++HMeOHWvz2Pv27UNVVRWqqqpw7949LFu2DP7+/k9hVESt8cyCyIiZM2fCxsam\n","Vfvo0aOhVqsBAHq9Hv/+979RXl6OgQMHtns8mUzWqq2jiz43NzfjxIkT2L59e4f6E5kbzyyI2tDQ\n","0ID79++Ln+wf3x4FxeO8vLzaPLuYMGGC2Gf69OnQ6XTYsWMHamtrUVBQgF//+teIjIyUrCctLQ0t\n","LS34yU9+YtC+ceNGyOVyLFu2rOuDJmqHjPezIPqfN998s8PXBLy9vbF//36DNj8/PyxevBjR0dFt\n","vub69etYvXo18vPz8aMf/QjvvvsuFi5cKO6XyWQoLi6Gp6en2KZSqRAREQEnJycsWbIEcXFxAB5e\n","4Pb09ORFbnoqGBZEj7l58yaampo61Dc0NBROTk4GbcXFxXBxcWk1JRUaGoqNGzd2up7z589j7ty5\n","OH36NIYNG4aAgAAkJCRg5cqVDAt6qnjNgugxI0eOBABUV1fj8OHDyM7Oxt27d/Hcc89hyJAh+PGP\n","f4zFixejT58++PLLLzt83H79+omPt23bhm3btrXZr7q6GsXFxRg6dCiSkpJw/PhxfPzxx5g6dSoA\n","4Ny5cwgNDe3wtQ4ic2FYED2hubkZQUFBGDVqFHbt2oWxY8dCEAQUFRUhJSUFp0+fRl5eHjw8PJCd\n","nY25c+caPda0adOQm5tr0LZ27VqsXbu2zf5yuVz8r4uLC4qKijBkyBBxv5eXFy5fvgxHR0cUFBSY\n","YbREHcNpKKInXL9+HZ6enrh16xY8PDwM9n377beYPHkyKioq4Ozs3O5xfvOb3+DEiRM4f/68Qfv6\n","9euxfft2ODo6tvm6vLw8vPjii5J1chqKniZ+G4roCSNHjsRLL72E+Ph4XL16FU1NTWhsbMTly5eR\n","nJyMwMBAyaCQ0tLSgoaGhjY3lUplppEQmQ/PLIjaUFFRgQ8//BCZmZm4e/cuevfujaFDh2LmzJlY\n","vXo1HBwcurtEoqeKYUFERJI4DUVERJIYFkREJIlhQUREkhgWREQkySrDYs+ePd1dAhGRVbHKsLh9\n","+3Z3l0BEZFWsMiyIiMi8GBZERCSJYUFERJIYFkREJIlLlD/BY+2Z7i6hRynd9np3l0BETwHPLIiI\n","SBLDgoiIJDEsiIhIEsOCiIgkMSyIiEgSw4KIiCQxLIiISBLDgoiIJDEsiIhIEsOCiIgkMSyIiEgS\n","w4KIiCQxLIiISBLDgoiIJDEsiIhIEsOCiIgkMSyIiEgSw4KIiCQxLIiISBLDgoiIJDEsiIhIEsOC\n","iIgkMSyIiEgSw4KIiCQxLIiISBLDgoiIJDEsiIhIEsOCiIgkmRQWb731FjIzM9Hc3CzZt7GxESkp\n","KfDx8YG/vz9mzZqFH374AQ8ePEBYWBi8vLzg5eWFnJwc8TVZWVlie3h4OOrq6kwpk4iIzMSksIiO\n","jkZGRgbGjh2LFStWoLCw0GhfrVaLwYMHo7CwEGq1GhMmTMDu3buxceNGDBw4EBqNBtnZ2YiOjsa9\n","e/dQUVGBmJgY5OTkQKPRwMnJCZs3bzZ5gERE1HUmhUVoaCiOHj0KjUYDhUKB3bt3w8fHB7/61a9Q\n","WVlp0Nfd3R3Lly9Hr14Pf5SzszOampqQkZGB2NhYAMCIESMQGBiI3Nxc5ObmIigoCMOHDwcAxMbG\n","4vTp010ZIxERdVGXrlkUFxfjT3/6EwoKCvDKK6/A1tYWs2bNwieffNJm/zt37iA9PR1xcXG4ffs2\n","PDw8xH3u7u4oLS012m6MTqdDTU2NwdbS0tKVYRER0RNMCotdu3bBx8cHixYtwvjx41FUVIS9e/di\n","xYoV+Prrr7F169ZWr6mursacOXOwb98+eHh4QK/Xw8bGRtwvl8uh1+uNthuTmpoKR0dHg02tVpsy\n","LCIiMsKksLhx4waOHj2K/Px8LFy4EH369BH32dvbY/ny5Qb9a2trMXv2bMTHx0OhUAAA3NzcUFZW\n","JvYpKyuDm5ub0XZjEhMTUV1dbbD5+/ubMiwiIjLCpLCoq6tD3759xed/+ctf8Pbbb4vPFy1aJD6u\n","r6+HUqlEVFQUwsLCxHalUokjR44AeBgIKpUKCoUCCoUCKpUKWq0WAJCeng6lUmm0Fnt7ezg4OBhs\n","j5+ZEBFR18lNedGNGzcwatQo8bm3tzdKSkra7Hvo0CGo1WrU19fj4MGDYv9t27Zh4cKF8PPzA/Aw\n","FB6dQezcuROhoaGQy+UYM2YMPvroI1PKJCIiMzEpLJqamqDX68VvODU3N6OhoaHNvnFxcYiLi2tz\n","32effdZme0REBCIiIkwpjYiI/g9MmoZSKBQIDw+HWq3G5cuXsWDBAsyYMcPctRERkYUwKSw2bNgA\n","b29vLF++HIsXL8bIkSPb/AYUERFZB5OmoeRyOZKTk5GcnGzueoiIyAKZdGaRmZmJMWPGwM7ODjY2\n","NujVqxe/gUREZMVMCoukpCScOHECtbW1aGxsRFNTExobG81dGxERWQiTpqH69+8PX19fc9dCREQW\n","yqQzizlz5mDdunWorq4Wl+hob0kOIiLq2Uw6s4iPjwcAbNq0CTKZDIIgQCaTcQE/IiIrZVJY8CyC\n","iMj8PNaeMfm1pdteN2MlrZk0DVVTU4OEhARERkYCAP72t78hPz/frIUREZHlMCks3nnnHTg7O0Oj\n","0QAAXF1d8Ytf/MKshRERkeUwKSzKysqwZs0a2NnZAQCcnJw6dD9uIiLqmUwKi0cLCD5SX18PnU5n\n","loKIiMjymBQWSqUSMTExqKmpwcmTJzF79mzMmzfP3LUREZGFMOnbUAkJCTh+/Dhqamrw+9//HpGR\n","kViwYIG5ayMiIgth8ldn58+fj/nz5xu0PTk9RURE1sHkVWdlMlmrdv5RHhGRderyH+Xdv38faWlp\n","sLW1NVtRRERkWbo8b/T8888jKSkJp0+fNkc9RERkgcxykeGf//wnampqzHEoIiKyQCZNQw0dOlS8\n","ZtHc3AydTofdu3ebtTAiIrIcJoVFXl7e/w4gl8PV1ZV3yiMismImhcXNmzcNnl+/fr1Vn9dee820\n","ioiIyOKYFBYrVqxASUkJfH190dLSgu+++w7e3t7o06cPAEAmkzEsiIisiElh4e3tjU8++QTjxo0D\n","ABQVFWHr1q349NNPzVocERFZBpO+DXXz5k0xKADAx8cHZWVlZiuKiIgsi0lh0dLSgosXL4rP//rX\n","v6KhocFsRRERkWUxaRrqwIEDmDdvHuzs7GBnZwetVotjx46ZuzYiIrIQJoWFj48Prl27hry8PPTr\n","1w+enp7ixW0iIrI+Jk1DnT9/Hh4eHoiKisLEiRNRWFiILVu2mLs2IiKyECadWSQlJeHixYuYO3cu\n","AOCVV17BypUrkZycbNbiyPJ5rD1j8mtLt71uxkqI6P/JpDMLGxsbDBkyxKBNLjcpd4iIqAcwKSzs\n","7Ozwr3/9S1wfqqioCHZ2dkb719bWIiYmBjKZDM3NzQCABw8eICwsDF5eXvDy8kJOTo7YPysrS2wP\n","Dw9HXV2dKWUSEZGZmBQWqampCAkJwY0bNzB79mwolUrs2LHDaP/3338fwcHBBm0bN27EwIEDodFo\n","kJ2djejoaNy7dw8VFRWIiYlBTk4ONBoNnJycsHnzZlPKJCIiMzFp7ig3NxcXLlzA119/DQAICAjA\n","gAEDjPbfsGFDq7aMjAycPHkSADBixAgEBgYiNzcXer0eQUFBGD58OAAgNjYWYWFh2Lp1a5vH1ul0\n","0Ol0Bm28Yx8RkXmZdGaRlZUFBwcHhISEICQkpN2gMOb27dvw8PAQn7u7u6O0tNRouzGpqalwdHQ0\n","2NRqdafrISIi40wKi6lTpyIhIQEajQYlJSXi1hl6vd5gWXO5XA69Xm+03ZjExERUV1cbbP7+/p0f\n","FBERGWXSNNSjW6g+vnCgTCbrVGC4ubmhrKwMo0ePBgCUlZVh3LhxEAQBGo1G7FdWVgY3Nzejx7G3\n","t4e9vb1BG++tQURkXiadWdy6davV1tkzC6VSiSNHjgB4GAgqlQoKhQIKhQIqlQparRYAkJ6eDqVS\n","aUqZRERkJp0Ki5dffll8HBER0aUfvGnTJhQXF8PPzw9vvPEG0tPT4ebmhhdeeAE7d+5EaGgoJk+e\n","DK1Wa/TiNhERPR2dmoYSBEF8fOvWrU7/sMdfP2DAAHz22Wdt9ouIiOhyGBERkfmYNA1FRETPlk6d\n","WchkMgiCAEEQDB4/0qsXs4eIyBp1Kizy8/PFNaAEQTB4LJPJ+MdwRERWqlNh0d7fOxARkfXivBER\n","EUliWBARkSSGBRERSWJYEBGRJIYFERFJYlgQEZEkhgUREUliWBARkSSGBRERSWJYEBGRJIYFERFJ\n","YlgQEZEkhgUREUliWBARkSSGBRERSWJYEBGRJIYFERFJYlgQEZEkhgUREUliWBARkSSGBRERSWJY\n","EBGRJIYFERFJYlgQEZEkhgUREUliWBARkSSGBRERSWJYEBGRJIsNi6ysLHh5ecHLywvh4eGoq6vr\n","7pKIiJ5ZFhkWFRUViImJQU5ODjQaDZycnLB58+buLouI6JllkWGRm5uLoKAgDB8+HAAQGxuL06dP\n","t9lXp9OhpqbGYGtpaXma5RIRWT2ZIAhCdxfxpNTUVJSXl2PXrl0AgKqqKri6uqKhoaFV3/Xr12PD\n","hg0GbZ6enggJCUFLSwvUajX8/f1hY2PzVGrvbhwzx2ytnsUxA09n3O7u7lixYkW7fSwyLLZs2YKq\n","qiq8//77AIDa2lo4OTmhsbGxVV+dTgedTmfQZm9vD3t7e9TU1MDR0RHV1dVwcHB4KrV3N46ZY7ZW\n","z+KYAcsZt7zbfnI73NzcoNFoxOdlZWVwc3Nrs++jYCAiov8fi7xmoVAooFKpoNVqAQDp6elQKpXd\n","XBUR0bPLIs8sXnjhBezcuROhoaGQy+UYM2YMPvroo+4ui4jomWWRYQEAERERiIiI6NIx7O3tsW7d\n","umdqmopjfjZwzM8OSxm3RV7gJiIiy2KR1yyIiMiyMCyIiEgSw4KIiCQxLIiISJJVhMWFCxfg6uqK\n","lJQUg3ZjK9c+ePAAYWFh4r6cnJzuKNsszp07hylTpiAwMBA+Pj5Yv369uO/AgQN46aWXMHbsWMTF\n","xUGv13dfoWZWVFSEoKAg+Pn5YdKkSbh+/ToA4JtvvoGvry/Gjx+P4OBg/PDDD91cqXn95z//wYsv\n","vvjMvM+XLl3C9OnTMWXKFHh7eyM9PV3c9yysTG1RYxR6uNLSUiEyMlKIi4sTkpOTxfby8nJh0KBB\n","QklJiSAIgrBkyRIhMTFREARBWLNmjbB06VJBEATh5s2bwuDBg4XKysqnX7wZuLi4CAUFBYIgCEJd\n","XZ0wfvx44ezZs8LVq1eFYcOGCZWVlYJerxdef/11Yf/+/d1crXncvn1bCA4OFrRarSAIgqDT6YS6\n","ujqhqalJGDJkiPj/Y/v27cL8+fO7s1SzCwsLE1avXi2sW7dOEATBqt9nQRCEDz/8UPj+++8FQXj4\n","O92vXz+htra23d9va2FpY+zxZxbu7u747W9/C2dnZ4P29lauzcjIQGxsLABgxIgRCAwMRG5u7tMt\n","3ExcXV3FT8+1tbVobm6Gs7MzMjMzMWfOHDg5OUEmkyEmJsboyr09TVpaGmbMmIG3334bAQEBOHz4\n","MJ577jmo1Wq4uLjA398fALBo0SJkZmZazSftPXv24OWXX8b48ePFNmt+nwFg6dKlGDlyJADAwcEB\n","tra2aGpq6tTK1D2VpY2xx4eFMbdv34aHh4f43N3dHaWlpZL7epqcnBysWrUKI0aMwPDhw5GYmAhf\n","X1+rGuOTLl68iKKiInz++ec4c+YM0tLScO7cuVZj7t+/P2xtba1iKury5cu4cOECfv7znxu0W/P7\n","/KSUlBRERkaif//+z8S4LW2MFvsX3F2l1+sNlvOVy+XiJ8z29vU0CxYsQGJiIn72s5/hzp07CA4O\n","xqRJk6xqjE+qqKjA3r17YWdnB2dnZ0RGRuLzzz/HxIkTWy3hbA3jvn//PlauXNnmp0prfp8fd/To\n","UXz33Xf4wx/+AODZGLeljdFqw6K9lWvd3NxQVlaG0aNHi/vGjRvXLXV2RUVFBQoLC6FSqQAAw4YN\n","Q0hICLKyssQxPtLeyr09zaBBgwyWapbJZJDL5a3GXFdXhwcPHsDFxaU7yjSbq1evory8XFxMs7y8\n","HDqdDlqt1qrf50c+/fRTpKen449//CNsbW0BdG5l6p7K0sZotdNQ7a1cq1QqceTIEQAP3wCVSgWF\n","QtFttZqqf//+sLGxwfnz5wE8vGbx5ZdfYtSoUZg9ezZOnTqF+/fvQxAEHDp0yGpW7lUqlUhLSwPw\n","8FP37373O4SEhCAwMBAlJSXiL9iRI0cwY8YM8R+YniowMBDXrl1Dfn4+8vPz8d577yE6Ohr79++3\n","6vcZeHhNZseOHcjOzka/fv3E9mdhZWpLG6PVnlm0t3Ltpk2bsHDhQvj5+QF4+Cb0xE8lcrkcGRkZ\n","SEhIgCAIqK+vx1tvvYU5c+YAeHhBbOrUqZDL5QgKCmo1391TrV69GkuWLBEv9MbExODVV18FABw7\n","dgxRUVEAHl78P3jwYDdV+XRMnjzZat9nAHjnnXfg7OyMkJAQsS0tLQ2TJ0+2+pWpLW31bS4kSERE\n","kqx2GoqIiMyHYUFERJIYFkREJIlhQUREkhgWREQkiWFBRESSGBZERCSJYUFE1AV///vfoVQq4efn\n","B29vb2zevLnNfsbuo9PY2IiUlBT4+PjA398fs2bNEhe/zMvLw7Rp0zBp0iRMnDgRW7ZsEY/X2NiI\n","X/7yl5DJZPj+++8l69y0aRMCAgLEbcKECZg+fXqHx8mwICLqhNLSUnHFAABQq9XYsGEDvv32WxQU\n","FODAgQPizbget3HjRgwcOBAajQbZ2dmIjo7GvXv3oNVqMXjwYBQWFkKtVmPChAnYvXs3AKCyshLH\n","jx/H5cuX8c033+Dw4cO4cuUKAODgwYNwc3ODu7t7h+p+7733xCVj8vPzER4ejhkzZnR43Fa73AcR\n","0dPw05/+VHzcu3dv9OnTB01NTa36ZWRk4OTJkwAM76MTHh6O5cuXi/2cnZ1RUVEBAHjjjTfEdq1W\n","i5aWFgwePBgAsGzZMgDAtm3bDH5OTU0NVq1ahevXr6O+vh4KhQKpqakGfRoaGnD48GFcunSpw+Pk\n","mQURkZns27cPnp6eba5i3ZH7U9y5cwfp6emIi4szaJ8+fTrGjRuH1NRUMSyMeffddzFt2jTk5eXh\n","0qVLuHLlCs6cOWPQ5+jRo1AqlRgwYECHx8YzCyKiDvjqq6+wZs0a6HQ63Lx5EwEBAXj++edx9uxZ\n","AMDZs2dx6NAh8ZYBT5K6P0V1dTXmzJmDffv2GYQKAKhUKvzjH//AzJkzMWLECEyZMsVonZmZmbhy\n","5Yq46GBNTQ1u3bol7m9pacGePXvwxRdfdGr8DAsiog6YNm0a8vPzUVpaiqioKPHWAADw5z//GfHx\n","8fjiiy8M7rXyuPbuo1NbW4vZs2cjPj7e6O0Shg4diuDgYHz11VfthgUAZGdnY9CgQW3uO3XqFPz8\n","/DBs2DCpIRvgNBQRURcUFBRg8eLFyMrKgqurq9je3NyM1157TbzYbew+OvX19VAqlYiKikJYWJjB\n","sffu3Yvq6moADwNFpVLB19e33XpCQ0Oxa9cu8XlxcbHBrYV37NiBNWvWdHqcPLMgIuoEDw8Pg7OK\n","ZcuWiV+LfSQpKQkKhQLFxcWoqqoCYPw+Onv37oVarUZ9fb14/xVvb2/s378fzs7OCA4Ohl6vR1NT\n","ExYsWCD5DaYPPvgAq1atwsSJE2Fra4uBAweKIXXu3Dm4uLiI94LpDN7PgoiIJHEaioiIJDEsiIhI\n","EsOCiIgkMSyIiEgSw4KIiCQxLIiISBLDgoiIJDEsiIhIEsOCiIgkMSyIiEgSw4KIiCQxLIiISNJ/\n","AUFRr542SgelAAAAAElFTkSuQmCC\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-9c859d2f-8ca7-4d62-9f8f-916363204086\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-9c859d2f-8ca7-4d62-9f8f-916363204086\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<google.colab._quickchart_helpers.SectionTitle at 0x7c77823ae230>"],"text/html":["<h4 class=\"colab-quickchart-section-title\">2-d distributions</h4>\n","<style>\n","  .colab-quickchart-section-title {\n","      clear: both;\n","  }\n","</style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def scatter_plots(df, colname_pairs, figscale=1, alpha=.8):\n","  from matplotlib import pyplot as plt\n","  plt.figure(figsize=(len(colname_pairs) * 6 * figscale, 6 * figscale))\n","  for plot_i, (x_colname, y_colname) in enumerate(colname_pairs, start=1):\n","    ax = plt.subplot(1, len(colname_pairs), plot_i)\n","    df.plot(kind='scatter', x=x_colname, y=y_colname, s=(32 * figscale), alpha=alpha, ax=ax)\n","    ax.spines[['top', 'right',]].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = scatter_plots(_df_4, *[[['사용일자', '승차총승객수'], ['승차총승객수', '하차총승객수'], ['하차총승객수', '등록일자'], ['등록일자', 'total']]], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-2225579e-7503-4cdd-83ee-76ad78f4d579\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABKwAAAEoCAYAAAB1vmkgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAEAAElEQVR4nOzdeZxcdZXw/89daum9O+mEpLNvKCSBBIGEYPKgiVHAPM7AKMgy\n","g2JEIwIi44AjjqgIOg8ILqAmuJE4P2QIg6Iii4wgMQkxYEKAkIRuOjTZOt1dXdVd211+f9y61VXd\n","Vbeqt/R23q9XCH2rbtX3Vlfucu4556vYtm0jhBBCCCGEEEIIIcQwoQ71AIQQQgghhBBCCCGEyCQB\n","KyGEEEIIIYQQQggxrEjASgghhBBCCCGEEEIMKxKwEkIIIYQQQgghhBDDigSshBBCCCGEEEIIIcSw\n","IgErIYQQQgghhBBCCDGsSMBKCCGEEEIIIYQQQgwrErASQgghhBBCCCGEEMOKBKyEEEIIIYQQQggh\n","xLAiASshhBBCCCGEEEIIMaxIwEoIIYQQQgyKN954gzVr1nDmmWdy+umn881vfjPn8zo6OrjkkkuY\n","P38+8+fP5/HHHwcgkUjwla98hUWLFnH22WfzwQ9+kKNHjwLwl7/8hRUrVvCe97yHM844g9tvvz39\n","eolEgq9+9asoisL+/fsLjvMb3/gGS5cuTf857bTTeN/73jcAn4AQQggh+koCVkIIIYQQYkA0NDRw\n","3nnnpX/evn07t912Gzt27GDbtm385Cc/Ye/evT3W+/rXv05tbS179uzht7/9LZ/61KdoaWnh0KFD\n","nHTSSezcuZPt27dz2mmn8d3vfheA48ePs2nTJv72t7/x17/+lZ/+9Kfs2rULgPXr11NXV8eMGTOK\n","Gvett97K1q1b038uvfRSVq1a1f8PRAghhBB9pg/1AIQQQgghxOh0xRVXpP8/GAxSWlpKMpns8bxH\n","H32U//7v/wZg9uzZnHPOOTz55JNceumlfP7zn08/b/z48TQ3NwPwkY98JL380KFDmKbJSSedBMDn\n","Pvc5AO68886s92lvb+cLX/gCe/fuJRqNsnr1au64446s58RiMX7605/y4osv9mfThRBCCNFPkmEl\n","hBBCCCEG3X333ce73/1uFixY0OOxt956i5kzZ6Z/njFjBg0NDVnPaWxsZMOGDVx77bVZy9/3vvex\n","YMEC7rjjjnTAKp8vfvGLrFixgr/85S+8+OKL7Nq1i9/97ndZz/n5z3/OmjVrqKmp6d0GCiGEEGJA\n","SYaVEEIIIYTol+eee44vfelLxONxDhw4wNKlS6moqOCpp54C4KmnnuKBBx7g2Wefzbm+ZVlompb+\n","Wdd1LMtK/xwKhbj44ou57777sgJbAM8++ywHDx7kAx/4ALNnz2bJkiV5x/nYY4+xa9cu7r//fsDJ\n","uKqvr08/bpom9957L3/84x97/RkIIYQQYmBJwEoIIYQQQvTLihUr2Lp1Kw0NDVx11VX87//+b/qx\n","559/nptuuok//vGPVFZW5ly/rq6OpqYmTj75ZACamprSmViRSIQPf/jD3HTTTaxevTrn+tOmTeND\n","H/oQzz33nGfACuC3v/0tEydOzPnYI488wplnnsn06dMLbbIQQgghBpmUBAohhBBCiEGxbds2PvOZ\n","z/Cb3/yGSZMmpZcbhsH73//+dAP2NWvW8LOf/QxwglXPPvssq1evJhqNsmbNGq666iouueSSrNf+\n","wQ9+QCgUApyg1rPPPsvixYs9x3PBBRdw9913p39+7bXX0rMOAnznO9/hS1/6Uv82WgghhBADQjKs\n","hBBCCCHEgJg5c2ZWdtXnPvc5Ojo6soJNX/7yl1m9ejWvvfYabW1tAHzjG9/gE5/4BGeeeSYAGzZs\n","oK6ujh/84Ads376daDTK+vXrATj99NP58Y9/zPjx4/nQhz6EZVkkk0n+5V/+peDMfvfccw9f+MIX\n","OOOMM/D5fNTW1qYDZU8//TQTJkxg4cKFA/iJCCGEEKKvFNu27aEehBBCCCGEEEIIIYQQLikJFEII\n","IYQQQgghhBDDigSshBBCCCGEEEIIIcSwIgErIYQQQgghhBBCCDGsSMAq5d577x3qIQghRF6yjxJC\n","DGeyjxJCDGeyjxJiZJKAVcpbb7011EMQQoi8ZB8lhBjOZB8lhBjOZB8lxMgkASshhBBCCCGEEEII\n","MaxIwEoIIYQQQgghhBBCDCsSsBJCCCGEEEIIIYQQw4oErIQQQgghhBBCCCHEsCIBKyGEEEIIIYQQ\n","QggxrOhDPQAhxIm3ZX8zG7c1Ut8cYVZtOVcsmc6yubVDPSwhhBgysl8cfOufO8D3ntlPOG70+TVU\n","AAUsu2uZkvG3nfrj0lWFyqBOeVBnwZRqrlgyHYCN2xp5pamNhGljWTaqquDXFCZXlRCKJmlqi2Ka\n","NgG/SkWga91lc2uzviuVQR82EI4lmVVbzuJpVbx0MDSg3yP3/V5pCpEwLfyakjUeIYTIRY5rYjSQ\n","gJUQY8yW/c3cvHk3nQmDoE9je/1xXmkKcedFC+UgJoQYk2S/OPjWP3eAO/7welagqS8syI5IZfyY\n","66UNy6alM0lbNElbZ5IdDS0AxJImHQkTy7KxcYJdigKNLdGs9TuTJqFOZ91XmkJcuXQ6D25tpDNh\n","oKCw93AYgHFlft5pi/HknsOU+jUqS3wD8j1yv5uhaJJIzMCyneBaW+cx+Y4KIfKS45oYLaQkUIgx\n","ZuM250R7UmWQmlI/kyqDdCYMNm1rHOqhCSHEkJD94uC7788H+h2s6g/Lhs6ESWtHgrbORI/Hbcg7\n","Pnd5KJrk/z31Bk1tnSQMi46EkQp0KSRNG8u2MVNPLvZ7tGV/M+s27eT8e59j3aadbNnfnPW4+920\n","bBtFAb+uYNs2nQmTprZOvvjw33usI4QQclwTo4UErIQYY+qbIwR9GoriFFEoikLQp/Fmc2SIRyaE\n","EEND9ouDa8v+Zlo7kkM9DAzLJmnZmLZNwrCA3FlZuXQmTCIxg3jSAhs6EibRhAkKqArEkyZJ00JV\n","SL92oe+RmwGxvf444ZjB9vrj3Lx5d1YAyv1uJk0LRQEbBct2tgUbjoZjPdYRQgg5ronRQgJWQowx\n","s2rLiSVNbNs5Tbdtm1jSZPaE8iEemRBCDA3ZLw6ujcPkjr6aanZlWeDXVaxepHyZlpNBpasKiqKg\n","q+5yJwMr4NPwaSqW7bw2FP4eFZMB4X43fZqKbUMyFQxTFecCtMyvS9aEEKIHOa6J0UICVkKMMVcs\n","mU6pX+dwe4zWzgSH22OU+nUuTzWiFUKIsUb2i4Orfpjc0XfjUzZgmFbR2VXuOqqqUFseACBh2On1\n","LcsmmjDpiBvYQCRu8PrhdvYeDhOOGex+uy1nuV8xGRDud1NVFGw7OyNMVRTGlwcka0II0YMc18Ro\n","IQErIcaYZXNrufOihSyZNZ6KoM6SWeO58+KFLJsjDRiFEGOT7Bcdv/nNb5g/fz7z58/n0ksvpbOz\n","c0Bed1bt8LqjrymQMIsLVyk42UxBn0qZXyPoS2VPZTzHBgzLQledxyzbychKWk7pYTRh5Sz3KyYD\n","wv1uvnduLVNqSgj6VFQFygM6U2pKKPNrkjUhhOhBjmtitJBZAoUYg5bNrZUZQoQQIsNY3y82Nzez\n","du1atm7dyqxZs1i3bh3f/OY3+da3vtXv175iyXT+sPtQrzKaBlNAV+lMWnkfd4NUNqCrCpOqStKz\n","A74TimHZNpqqoKVKA6NJi/KADoqCGbNAUVBxZh3EtkmYFtNqSjjcHmPTtsb09+yKJdN5pSnE4fYY\n","QZ8TeMqVAZH53cyc+StpWhxuT0rWhBAip7F+XBOjg2RYCSGEEEKMcU8++STnnnsus2bNAuCaa65h\n","8+bNA/Lay+bWorsNpIaYpuafDdDl0xTKgz40VSHg07jz4oWsXTGHOy9aSEBX0VQlneFk2U5wK2Fa\n","JAwTVVVQFacpuqo4ZYRxw8xZ7teXDAjJmhBCCDGWSIaVEEIIIcQY99ZbbzFz5sz0zzNmzKChoSHn\n","c+PxOPF4PGuZaZqerz++IsDhUKy/w+wXVQEFBb+uEjPyZ1iV+PV0RtSS2ePTwaBlc2tZPm8C2+uP\n","M6kyiKI4rxU3LPyaCopCRywJioKuOrP5YduU+vV0ud/p06qz3qsvGRCSNSGEEGKskAwrIYQQQogx\n","zrIsNE1L/6zrOpaVO6hzxx13UFVVlfVn+/btnq9/9bkzGeocKyujaXl5QMv7PJ+m5G1Q3L2RMYCW\n","mjkwoKk4MSqbEr+GbTuN2f2aKg2PhRBCiD6QDCshhBBCiDGurq6OPXv2pH9uamqirq4u53NvueUW\n","brzxxqxlt956q+frr10xB4DvPbOPcNw7G6tYVUGdzoRJMlXjpwBlAQ0FhY64gYWTVVXm1yjx62iq\n","gk9TWDilmsuXTud3f3+HX//tbZKmjQLUlvuZPaGc9liS2bXlXL50eo9SO7ckb9O2Rt5sjnD61GoW\n","Tavi5YMh3myOMHtCGQDtsSSVQR8o0B7N/3pCCCGEyE8CVkIIIYQQY9zq1av58pe/zKFDh5g8eTIb\n","NmxgzZo1OZ8bCAQIBAJZyzKzs/JZu2JOOnA1HCybU8vtF53W+/WkJE8IIYQ4ISRgJYQQQggxxk2Z\n","MoW77rqLCy64AF3Xede73sX9998/1MMSQgghxBgmASshhBBCCMFll13GZZddNtTDEEIIIYQApOm6\n","EEIIIYQQQgghhBhmJMNKCCGEEMPOlv3NbNzWSH1zhFm15VyxZLr0DRJCCCGEGEMkYCWEEEKIYWXL\n","/mZu3rybzoRB0Kexvf44rzSFuPOihRK0EkIIIYQYI6QkUAghhBDDysZtjXQmDCZVBqkp9TOpMkhn\n","wmDTtsahHpoQQgghhDhBTmjA6u6778bn8wFw5MgRPvjBD7Jw4UIWL17Mtm3b0s/7yU9+wimnnMKp\n","p57Ktddei2VZfV5HCCGKJfsoIYbelv3NPL/vGKFokoMtUSJxA0VRCPo03myODPXwhBBCZIjH43z6\n","05/mjDPOYOnSpbzvfe9j9+7dch4lhBgQJyxgtX37dnbt2sWUKVMAuO6661i1ahW7d+/mRz/6ER/7\n","2McwDIM9e/Zw++2388ILL7Bnzx4aGhrYsGFDn9cRQohiyD5KiKG1ZX8zH7rnOS7fsI1wzCBp2oTj\n","SZpao4RjSWJJk9kTyod6mEIIITJs2LCBQ4cO8eKLL7J161auvvpqPvvZz8p5lBBiQJyQgFUoFOLm\n","m2/m3nvvBcA0TR5//HHWrl0LwJIlSxg3bhw7duzgscce4+KLL2bcuHEoisLatWvZvHlzn9bJJx6P\n","097envXHNM3B/yCEEMPScNtHCTFWbNnfzCU//iunfvUJLtuwjdcPh7EzHrdsSJoW77RFKfXrXL5k\n","+pCNVQghRE+TJ08mEokQjUYBaGlpYcKECXKtJ4QYECek6fo111zD7bffTlVVFQBHjx4lEAhQXV2d\n","fs6MGTNoaGjgrbfeYv78+T2W92WdfO644w5uu+22rGVLly7t30YKIUas4baPisfjxOPxrGVyoiVG\n","my37m7nhoZdpjsSxbO/nBnwad168kGVzpOG6EEIMJxdddBGvvfYakyZNoqamhilTpvDQQw+xePFi\n","udYbRDKTrhgrBj3D6r777mPBggWcc8456WWWZaFpWtbzdF3Hsqwej+VbXsw6+dxyyy2EQqGsP2ef\n","fXZ/N1UIMQINx33UHXfcQVVVVdaf7du393dThRhWNm5rpK0ziQIoHs9TVVhx8gQJVgkhxDD0pz/9\n","iccee4yGhgYaGxu58MIL+dSnPiXXeoPInUl3e/1xwjGD7fXHuXnzbrbsbx7qoQkx4AY9YPXss8/y\n","m9/8hqVLl7J06VIOHTrEmjVraGlpSaeOAjQ1NVFXV0ddXR1NTU09lk+YMIFwONyrdfIJBAJUVlZm\n","/em+gxRCjA3DcR812k+0hACob45gY6OqCoqSP2SlK6qUAgohxDC1efNmPv7xj1NbW4uiKNxwww38\n","5S9/6fU5kVzrFWfL/mZufPjvNLV1kjAsfJoqM+mKUW3QA1YPP/ww27dvZ+vWrWzdupXJkyezc+dO\n","zj//fH75y18CsGvXLurr61m6dCkf/vCHeeSRRwiHw9i2zQMPPMCaNWvw+/2sWrWqV+sIIUQhw3Ef\n","NZpPtMTYtGV/M+s27eT8e59j3aadbNnfzKzachQUTNPGtvPXBM6eWCbZVUIIMUzNmjWLJ554gkQi\n","AcBjjz3G3Llze31ONBKv9XId2wb7/W7evJtj4RjY0JEwaWqN0pEwZSZdMWqdkB5Wufzwhz/kk5/8\n","JBs2bEDXdR577DGCwSBnnXUW11xzDcuXL0fXdc4991yuu+66Pq8jhBB9IfsoIQaGe4LdmTAI+jS2\n","1x9nR0ML48r8JE2LfKGqMr9GqX/ITlOEEEIU4fOf/zxvvvkmZ511FoFAgNLSUn71q19RWVk5qs+j\n","ch3bXmkKcedFC3v0khqoflMbtzXSmTAo9etEEyaaCqZlczwSx6+rnD6teoC2TojhQ7G9bmuOITfe\n","eCN33333UA9DCCFykn2UGKnWbdrJ9vrjTKoMoigKb7d00Bo18j5fASpLfEyrKeFwe4wls8fzw8vO\n","OHEDFn0i+yghxHA20Puo7sc227adY9as8fzw8q5jVmZgC6A9msQG5kwop7LERziWLDqIdf69zxGO\n","Gfg0labWKJadylBWYEp1qUxOIkYluXUpxBCTWT6EEKNZfXOEoE9DURSOheN5g1UKYKf+dCYMDrfH\n","KPXr0r9KCCHEsJN5bIvEDVoiCTqTBs/tO8aW/c3pc3k3K6o8oPNOWwzTBsuyef1wGFWBcWV+joXj\n","ebOzMs2qLWd7/XGqS3xMqSnheCROR8JgYkVQglVi1Br0HlZCiPxklg8hxGg3q7acWNLEtm2aO+Ke\n","z9VSzdeDPo0ls8bLCbgQQohhyT22hWNJmlqjRBIGpmUTN6ysc3k3sNXakcS0bXyqkp4aV1EUkqZd\n","VNP0LfubOR6JE4omeeNImHAsiV9XmVJdyl0fO12OlWLUkgwrIU6AfFlU7l2X7unEm7Y1SpaVEGJU\n","uGLJdF5pCnG4PYZhenchsGybUp/Gj698j5x8CyGEOGF6W/HgHtveaYtiWDYKoKsqdVVBInEjfS7v\n","ZkXFDBNVARSwbVAUUBWIJ00URfFsmp5ZVlhd4icUTRKKJjljeg3Xr5onx0sxqknAahQabiVmXuMZ\n","bmMdDF5NGTPTiYGCBywhhBhpls2t5c6LFrJpWyN/3HMYw8odtFIUJ7PqCx+Qk28hhBAnTm8aqLvP\n","35jKhrJSwafygI9xZX7KAzqGZafP5d3AVns0iWnZWJbtBK5sZ91Sv4Zt28SSZt6m6d1vcJ9UGeBw\n","e4za8oAcL8WoJwGrUaa3O9yhHA8wrMY6WLyyqNy7LrZtpx/zOmAJIcRIk3ljYu7Ect44Esa2yZod\n","sLpE59y5E7h86XQ5+RZCCHFCFVvxsGV/M/c+s4+dja3pCUJURcGwbGpKfZQH9B7n8u5Nm/R6ikKJ\n","TyMcS2LbNj5N8ezZuGV/M8/vO0YsaZI0bMaVO0ExucEtxgoJWI0yw63EzGs8bmNdr7GOpAysfGP1\n","yqK69cJT06UyQZ9GLGlKk2EhxKiRedNCQSEUTQKgawrYUFsR4JPvncna5XOGeKRCCCHGqmIqHtzj\n","2eFQDNNybjS3Rw1qynwcC8d5py3KxEo757n8srm1LJtby5b9zWza1sibzREqgxUAHApFSabK5Tdu\n","bQSbrOugmzfvJp60MC2bSMIg2mpSVx2UG9xizJCAVZFGSuCk0A73RG9HofEUGutIycDyGqtXFlVm\n","qcybzRFOn1otGQZCiFFhy/5mbnz47xwLxwjoGgnDcqbfxuk3O6m6ZFjuz4UQQowtxVQ8uDfhFcVG\n","UxW0VGZVLGkxvixAzDCpCOqe5/Ju4MrlXj8kTRNNVXpc67jvWVcddGYYtCwM2+adtiiTqkrkBrcY\n","EyRgVYSRFDjx2uEOxXZ4jce28Tw4DLdsMS9eY81sOJwri6r7wUsIIUa69c8d4LtP7aMzaQLQmXD+\n","9mldNyjcGZFk/yeEEGIoFTpXh66b8AnTpjNugOr0roolTXyawoqTJ/DDy87o1fsWutZx37Mi6GNK\n","jUJLR4LOhEHAp8ksumLMkIBVEYZj4CRfppTXDnfj1hO/HZ4HABvPg8NIakjuNVbJohJCjCVb9jfz\n","3af3EU2apPrKppmWjaooBP3asN2fCyGEGFuKOVd3b8KPK/URS5gkDQsbUFT63M6j0LVO5o3/8oBO\n","mV/jcHuMJbPHe15HjJTKICGKIQGrIgy3wEmhTKl8O9xvPP7qCd+OQgcAr8eGY0PyfAeAQmOVLCoh\n","xFixcVsjccNEU0FVVRKGlX7MskFXFWpKfUTihvTfEEIIMSwUOld3b8JH4gZVJT5Cqabpi6fXcP2q\n","vs1uW6gy5ngkTiiapD2apLLEBxQOjo2kyiAhiiEBqyIMVeAkX3CkUMZXvh3uUG2H1wHA67Fi0nNP\n","JK8DwHAbqxBCDJX65gh+TSNpWqgK+HW16040UFmiE4kbso8UQggxYnS/CX/2rHH9rpjId/2waGpV\n","+pqjusRPKJokFE1yRhHBseFYGSREf0jAqghDEYzwCo70NeNrpAVVhlspndcB4IeXnzGsxgqSDiyE\n","GBqzast5py2GYVoYpo1bFBjQVRZNq6Y9lmR2bfmQ7yOFEEKI3uhtxUShc/F81zrd27icVBngcHuM\n","2vJAwePmcKsMEqK/JGBVhKEInHgFR/qaKTXcAkDFGE6ldIUOAMNprJIOLIQYKu7NEYCEYZEwTUr8\n","Gl/4wDzWLp8zxKMTQgghitfXG8DFnovnun7oTxuX4dhSRYj+kIBVkU50MMIrOHLrhaf2OVNqOAVV\n","+mswMoi8XnMkHQAkHVgIMVS63xyRbCohhBAjUX9uAPfnXLw/1xwjraJGiEIkYDVMee2oRmKm1EAb\n","jAyiQq85kg4Akg4shBgMxd4oGE03R4QQQoxN/Qk69edcvD/XHHKdKEYbCVgNU4V2VMPtYqA/6bJ9\n","WW8wMoiKaWY/Ug4AIykbTAgx/G3Z38zXH3+V1w+H08v2HQmzo6GFey5ZlLXflf55QgghRoP+BJ36\n","cy7e32uO4XadKER/SMBqiOU7sR9JwZG+Zjv1J0tqMDKIinnNkXIAGEnZYEKI4W3L/mZueOhljobj\n","WcsNC46F49z7zL70fjFzv66gcODoEZ569TCLp9dww8p5I2L/KYQQQoATdPrLvmO0R5MkDAu/rgL0\n","uTRPVRSaw3HOv/e5gjd0Rso1hxCDTQJWQ8i9CGjrTGADB45Gsu5Wj5QdVV+znYaqtvtEvuZQGUkB\n","TyHE8JJ5I6Uy6GPX221Ek1bO59rAy41tXPLjv/LqoXaiCROwGV8eoLUjiWlZqee0cvPm3TLxgxBC\n","iBFj8bQqntxzGNOyURWIGxaaqrBoalXBdbufi0+pLqG+uYMDxyIyIZIQvSABqyF0zzP7aI7EURQF\n","VQHThuZI9t3qkaCv2U5DVdt9Il9zKI2UgKcQYvjoniH1+qEwdoF14qbF9voWFAWs1JOPtMdRFfDr\n","Kqbl3AToTBgy8YMQQogR46WDIcoCOrZtkzAt/JqKoii8fDBU1PqZ5+LrNu3kwLFIn9uZSLm9GKvU\n","oR7AWPbaoXYAfKqCrqr4VCdw82pq+Ugxq7acWNLEtp0rFTczafaE8kFZD7ruWiyZNZ6KoM6SWeO5\n","8+KF/cogGozXFEKIkSQz8zVuWgWDVS4bJzilZC6znQdsG4I+TSZ+GCZefPFF3ve+97FkyRJOP/10\n","NmzYkH7sN7/5DfPnz2f+/PlceumldHZ2DuFIhRBiaNU3R6gI6swYX8a8iRXMGF9GRVDv07GsPzfq\n","3ZtJ2+uPE44ZbK8/zs2bd7Nlf3PB9dZt2sn59z7Huk07Cz5fiOFIMqyGA6Xb3yNMXzOT+pvRNBgZ\n","RP15TbnzIYQY6TJPqGMJo1frKij4dJWE4ZQP2kDSstEUhZpSH5G4MSJLrEebF198kQ0bNjBnzhya\n","m5uZNWsWH//4x4lGo6xdu5atW7cya9Ys1q1bxze/+U2+9a1vDfWQhRBiSBTbLqSYa4D+tB7JvJnU\n","kTBpjyZp7ezkiw//nbs+enrO643BmFFdiKEgGVZD6NTJlQAkDQvDskimTvLn11UO5bB6ra+ZSaMp\n","o6mvdz6GitxxEULkkpn5mrtrVbasjCpsVEBVnOUKoClQWaITiRsjusR6NFm3bh1z5swBoLKyEp/P\n","RzKZ5Mknn+Tcc89l1qxZAFxzzTVs3rx5KIcqhBBD6ool0yn16xxuj9HameBwe6zHsazYa4B8r7Vo\n","alXBc3L3ZlJHwqSpNUpHwsS24FAoxr/8bDuX/PivPdbLDHL5NOdmUlObE+SS834xkkiG1RC6fuU8\n","p+l6NIlt22iaSnWJj+tWzhvqofVaXzOTRkufpf40kD/RmVlyx0UIkc8VS6azo6GFN46EMcxiCwKd\n","4JSbWQUwoSLA2uWzePlgiDebI8yuLZeJH4ahr3zlK/zzP/8z1dXVvPXWW8ycOTP92IwZM2hoaMi5\n","XjweJx7PnjXSNM1BHKkQQpx4+SYxwnZ6UtU3R2jtTNIZN5g+rtTzGiDXay2aVsWDWxsLnpO72Vnt\n","0SSmbaNik8Q59pqWzUuNbT0mNuke5DJtG2w4Go7JJChiRJGA1RBaNreWey5ZlN5xyQn9yNXXuvSh\n","CB71J7gmhBgb7CJjVUGfRkVQZ1ZtWbr/4qmTK7l+1Tw5lg1zP//5z3nppZf4/e9/D4BlWWialn5c\n","13UsK3ee3R133MFtt92WtWzp0qWDN1ghhBgimTfXt+xv5t6n97GzsRUF5xjYHnPK599s7uCkyiDl\n","Ab3HNUD3m9O3XngqADc+/HeOhWOU+XUqgj6qS3w5z8ndNiqtnZ1gg5E6Ruuae91hZ01ssmV/M62d\n","SY6FYygoWLaNT1MwLYVSvyaToIgRRQJWQ2y0ZBiNdX2tSx+K4FF/mj4KIUavLfubufHhv3O8I46C\n","ggqeZYEnVQYwLZuzZo3jh5edcaKGKQbAr3/9azZs2MATTzyBz+cDoK6ujj179qSf09TURF1dXc71\n","b7nlFm688casZbfeeuvgDVgIIQZZoYoH9ybz4VAMMzUlrhusAoimMpnqqoNZ1wC5bk7vaGgB4HhH\n","HGzoSJjEWqNMqSnJG+wC0qV9igKqoqCpCoZpE/R3Bcnc94smTLAVjNQdqKRpo6sq48sDJE1LzvvF\n","iCEBqzFGGoMPjr42kB+K4FGh4Jp8R4QYe9wT3GPhWOrurXOCq6sKpmVnzRaoABVBHdOypS/VCPTY\n","Y4/xne98h6eeeory8q5ZeVevXs2Xv/xlDh06xOTJk9mwYQNr1qzJ+RqBQIBAIJC1LDM7SwghRpJi\n","Kh7cm8yKYqOpCmaqbF7BmWTEBgzL4p22KJOqStLHxlw3p984GgHbOYZGEyaa6pT2HY/E8etq3mBX\n","QNdS5fo2lm2TNJxz+aRpcSgUxbSC3PPMPjoTBtNqSuhImBxs6cCwnADXlJoSyvwah9uTMgmKGDEk\n","YDWGbNnf7PTM6kxgAweORtjR0MI9lyySgEQ/5atxd0ti8gWB+jNjSCH53tMruCb9rYQYm9wTavfk\n","WbGdIJVlOyfmpX4Nv64yd0I548sDUsY+gl199dWMHz+e888/P73s+9//PmeddRZ33XUXF1xwAbqu\n","8653vYv7779/CEcqhBAnRjEVD+5N5oRp0xk3sm7kaIqCmprKLODT0pNIbdnfzPP7jhFLmiQNm3Hl\n","fsoDOnbqplBtecDpL2XZ2LZNR8KgurQ0b7CrusTHwdYomgLhuIFtO8fpaMJEVRQ6EyYvNbZSVeJD\n","URTKAzrTxpXReLwTG5ukaXG4PSk3m8SIIgGrMeSeZ/bRHImjKAqqAqYNzZE49z6zb0QGI9Y/d4AH\n","XmigtSNBTZmfq8+dydoVc4ZsPPnKO72CQH3NzCqkUOApX3Bt3aad0t9KiDHIPRGvCPpoao1iK2Da\n","NpYNqQRQSv0610lvqhGvuTn/7FCXXXYZl1122QkcjRBCDL1iKh7cm8zjSn3EEiZuyMoGNFWhrjpI\n","JG6wZPb4dLDq5s27iSctTMsmkjCItprUVTvn2Ng2ZX6NKTUlHI/E6UgYTKwIFgx2VQSdPz+48FS+\n","+PDfORqOUR7QGV8eoMyv8cbRCO3RZPpcvsyvUR7UKfU7PSe731QXYriTgFWRhqJMyus9+/LYa6mG\n","uD5VSQcjEqadbpQ7FNvRV+ufO8C3n9iLadmoChwJxfj2E3sBhjRolcvGbY20dSYAiMQM/LpKwkiw\n","aVsjP7z8DJbPHc8jLzVxPJIg4FP54Kkn9fsg4vWebmAt1+9A+lsJMTa5J+LVJb70yXMk7uw7JlYE\n","WDhFTnCFEEKMTsVUPLg3mSNxg6oSH22dCZKWja4qVJX4iMSNrJvObnZUXXWQd9pimJaFYdu80xal\n","utQPkL5h7ddVqktLs4JV+YJd7riWza2lutSHpirUpF4PoCrooy2ayLoZXlXiS7+2ECONBKyKMBRl\n","Ul7vCfT5McApts78exD197PLl0X1wAsNmJaNX1dQFRXLtkgYNj99oWFQA1Z9yep6pamNjoQz3beq\n","kP7/3U1trH/uAA/teDsdeIsnLR7a8TYza8v6tR1e7+llMEsUhRDDV/dsT7+uMjXj5FkIIYQYrYqp\n","eOheoXD2rHEsmlbFywdD7G5qI5nqabVxayPY2ZnLU2oUWjoSdCYMAj6Ney5dBDZ5W4l4Bbvc/liZ\n","MwG2R5PpDCsbm/dMr0mX70tGlRjpJGBVhI3bGglFk1i2TSRu4NNUkmZyUMukvDJkbPB8LF9J16mT\n","K3mxoYWkYaGqClZqhov5dZWDsg3udvS1xMwri6q1I4GqgKo4BeOqoqIqJi0diX6N1ysbrK9ZXQnT\n","xsoRXEua9qAF3rze02s7r1gynR0NLbxxJIyNE9OsLvVLnbsQo1yhPnxCCCHEaFXsMTBXhYJzcz5E\n","0jTRVCV9c35SVZBj4Ti2bVMe0FPNzmPpkkH39XLxCnbdefFCsMmaCTAcM+hImJT5NapL/VK+L0YV\n","CVgV4ZWmEOFoMj0DRDxpoQC7m0KD+J7eGTL5HisLOL/Sgy1R4oZJQNfw6QpvNke49cJTWbdpJ6FY\n","EtO0URQnbfS6lfP6Pd58AZD6VClZrvF4rQd4BnNqyvwcCcWwbCv9mGXDuDJ/3jEWsw1e2WB9DS75\n","NRVVUTAtsBQL23Zm6vBpKkfaY4MSePN6z0LZewnDImna6YBVwrDI6iwphBixvPa5+UqFhRBCiNGu\n","r8fAfDfnFZzej33pU5tZ8ZAr2LVu08508oKmgmIrWLZNWUCXzGgx6qhDPYCRIBxPYtF1zW4DFhCJ\n","JwftPd0MGV0FXVXRVbAsJ0PG67GKoI+WjgSRhIFpOzXPLR0JKkt8APh1FZ+q4tMUfKqKX1f7HYxw\n","Zx98+tXD7D8a4elXD3PDQy+zZX+z53jcwMn2+uOEYwbb649z8+bdbNnvNIRt7UigAEnTKUtLmjYK\n","0NKR4OpzZ6IoEDdsokmTuOEE4D753pl93g43ky5uWDRH4sQNi1DUyaRzx9MzuETB4NKCKVUEfc46\n","RirDKehTWTi1ipoyP5YNlm0BDEjgrdB7Zh5Ya0r9TKoM0pkw2LStkXue2Ud7LImqKvg0BVVVaI8l\n","ufeZff0ajxBi6BXa5wohhBCidzJvzu87EuZgSxSA9liSOy9ayJJZ46kI6iyZNb7oYNIVS6ang12t\n","nU4/qsxgl5vY0JEw0wkViuKcu0uwSow2kmFVhHgqgwmcjBM3vhPLWD7QvDJk3HEkDBsbEyX1s09T\n","nfGlpjh1g2xuq6qN2xqxbJuTTyof0BngvGYfzByP+2lljserXLA0oNGakd2TmgGWsoDG/LoqKkt8\n","tEeTWLaTaVZZ4mP+5Ko+b8crTSEiMQNFcWbFMkwT2+7KpKsp83M4FCNuOMsVBSwbJqaCS/kyFxZP\n","q+LJPYfTpYSmZRM3LBZNrWLR1Cq+/cReEoaNqphYtjPTiBt462vDeq/33PxSE5A76+3tVucge6Ib\n","8wshBl9/SrSFEEII0VNF0Mfew+H0dVAkYWDHbeZMLO9z1lahEsW+tv4QYiSSgFURNE1FSVqkZiBF\n","Tf2taf1PUMu3Q1kwpYpQNJkKGFj4NRVFUVg4tYpj4Thvt3ZmZ0YpMLk6yKG2mDMFuZ1ejKLAoTan\n","Id9gzADnNftgTakvPR43eOaMJ1pwPCdVBGnt6JnFdlJlkI3bGtFVhVMnVw7YhVfCtLBsG7/Wfefv\n","ZD+tfNcENm0/iNUtgPb+d0/wLLN76WCIsoDe43f58sEQP7z8DAB++kIDLR0JxpX5+eR7Z7J2+Zx+\n","Naz3ek+vAyupgNWJbMwvhDgxZBZQIYQQIre+BnnSp8ru3Wy7uNIV9/1eaQqlztUVFkypTr+v+8d9\n","3jcef5VZteUsnlZFe6fTqiZh2KiqiYKS1frjhodepq0zgQ0cOBphR0ML91yySIJWYkSSgFUR3Gbl\n","CqBpqWblSv+blXsFJNzm1+7OJmaZ6ebX9z7tlGepCunm6e6uMWE62Vg9I+4Ws2qreGF/M6FokqRp\n","4UtlcQ3YDHA5ghwJ084zHptZteX8Zd8x2qNJEobllCdCejyKAlUlPjoTBoZpo2sKpX7nKzsYF17+\n","VAlcVlZbqjQOoDVqUObXiBsmpuXUjAd0jbZOwzNzob45QkVQz5pytrUzkR7r2hVzcvbA6k82hNd7\n","Vgad8tBcB9ahaMwvhDgx+jMLqNytFUIIMVoVe5M4V5CptTNJia6RMC3nekV1rlfaoz1vumeuf6Q9\n","hmFapJKiUBVo60xmvW/3cb2wv5knXjmUPnW3AdOCUp+CT9dYOLUqq/IFbEwLjobjXPurnfzgsjPk\n","2C1GHAlYFeH6lfOcSHUq40nTVKpL+t+s3GsmwK6GfG66VCoKZDs10ePLAiRMi7jhNPDzayrt0aRn\n","0KV7mVg8aaGpCoum9r2MDpwgx/b6FmJJK71MwQlyvNMWy1va2GM8RvZ4ZtWWcywc510nVWQFbGZP\n","KMe26fOFVz4LplTTHD5CwrQxTBtNVQhoCgunOq9Z3xyhpsyfN/CUL4DW14vE/gTlvN7zzWORvN+f\n","Wy88dVC+60KIoVfMtN25FJqoQQJZQgghRjKvazL3mOYeC0PRJOGo09+4O1Vx+hyH40kqSyrSy9c/\n","d4D7//cALZ3JdLWJ1S0Ry7KhI24ApPvn3vjw3zna7lxLKSQxbbvHeuAkLNRWBLl8yXSuefBvzlgA\n","I2OQLZ1Jbt68u6hKDSGGEwlYFWHZ3FruuWRRuo54dm35gEz37TUT4MZt5O035QRyjjOtpiRnIKet\n","8xjgzO7mTzXeXji1mpcOhij1a12PpTKaXj7Yv9kOV50ykRcbWrIyYBUFVr57Ii8dDOUtbfQqW4MC\n","F1c2fbrw8pKr71MCsgJo+YJAXgG0y8/u20Vif7IhvD67jVsb835/Buu7LoQYesVO2w3ZGVWtnUk6\n","4wbTx5Vm7TPufWYfh0KxPpUtCyGEEMNFodnZoSuoFYkbOYNV4ASdFNuZCAqcY+nXH3+V1w+H08+x\n","yV81aNrOe7/YcJzdTSGOtsdSkzP1XMGvqxiGlRqL0qOhu2nbPebVamzp5JO/eJEvfuBkzxnOhRhO\n","Bj1gZRgGX/ziF/nTn/5EWVkZZWVl/PCHP2TevHlcd911PPvss9i2zU033cTVV18NwF//+lfWrVuH\n","YRhMmTKFX/7yl0ycOBHTNHu9zkAZjOm+vRrmeWXX3HrhqQUDOZ0Jg8oSX9Zj33j8VSpLfHkzhPrq\n","pVRfpFyBJzdwkm88XqVyhS6uir3w6s129CeAtqOhhTeOhNP5cG4J57I5xV8kZuprNkTBz85jrO66\n","crEpxOhUzL/v9c8d4P89+QZxw0rn+KoKNEcSRBMmccNEUWDX222UBXRp4i6EEGOcZVn8+7//O48/\n","/jjBYJDly5fzn//5nyPmWs/rmmz9cwd44IUGDodiRb/e+LIAh9qi3Lx5t9N3uBcsy6Y9ZhBLWjmz\n","qdJs8PtUEoZFiV9LX1e47T3yrRtLWtzxh9cBJGglRoRBD1glEgkWLVrEvffeC8D69ev58pe/zAc+\n","8AHeeust9uzZQ2trK4sXL2bZsmXMmzePj33sYzzyyCOcffbZfOc73+GGG27gV7/6FT/5yU96vc5w\n","5jUToFd2TV8DOf3J2PHi1S/Ja6zFjMfr4mqgAyuFek15bUvXtPA9Szj7OtbeZEPkW9/7PXOPdawZ\n","LUF1Ifpry/5mbn5kF43u5At07RYsGw63Z5+sKwqUBZAm7kIIMcZ96UtfYv78+ezevRuAtra2Pl23\n","DdW1Xr5rsmjC5NtP7MX0jBz1ZOMEuzriSe+gUw6qopA0rfSMf/kkTAvVpEdfZbeVzdFwPO+6lg33\n","//mABKzEiDDoAavS0lI+8YlPAGCaJvv372f27Nk8+uijXHvttSiKwrhx47jooot47LHHWLFiBRMm\n","TODss88G4NOf/jRTpkzBsqw+raOq/Z/Jb7B4zQRYqIysL4Gc/mTseCkUeDrR4+mr/gTQNm5rzFvC\n","2Z+g2mBkOw3WWEcqCaoL4QSr1j64g464WfQ6ig3t0WRWhtVA3AQRQggxchw/fpw33niDWCzGfffd\n","x8yZM/nud787oq718l2TxQwTM5V5lTB6ltjlU+rXiSXNdGlhsUp9Kj7dmeApnuzKcs7HVmBCeSCr\n","16zb3uNTv9xBp8f7t3X2bAovxHB0wqI5jz76KJMnT+aFF17ga1/7Gm+99RYzZ85MPz5jxgwaGhp6\n","LK+ursbn83H06NE+rZNLPB6nvb09649p9m6HMhCuWDKdqhIffl2ltjyAX1epKvE5ZWSp7Jols8ZT\n","EdRZMmt8j9rk3hqM13S3o9Svc7g9RmtngsPtsaICT4M1nr7q63bAyJoufiSN9UTwCqp/+tOf7nHS\n","tH379h4nTY899lj6RKu36+QyXPZRYuz4t0d29SpYBU5jWRv6tM8UQggxOuzcuZPnn3+eyy67jBdf\n","fJGVK1dy6aWXjqhrvXzXZG5fW1VR0+fNhbxrUgV3XrwwPdu2lmc1XXVmHFdw+lFNKA9QGtCpKvFR\n","GfShKgpqnvfUFGfd8oDOPZcu6nHttGxuLee9ayJVJb6848z32kIMNyes6fo//uM/8pGPfITvfOc7\n","fPzjH8eyLDRN6xqIrmNZVo/lXo8Vs04ud9xxB7fddlvWsqVLl/Z3E3utUMnXYGTXDNZr9rV0bTj1\n","S+rPdgxWueVgKDTWsTp9/aOPPso111zDySefzBNPPMF73vOeHidNr7/+OjNmzOjViVahdSZNmtRj\n","LMNlHyXGhn/fvIuDGWWAvTF3QjmzJ5QPWC9BIYQQI0tzczMrVqxg2bJlgHNT7qabbmLChAkj5lov\n","3zXAjb/+O0dCMSzbQtecLCtwgkw+XcUwnRnOsaG2IsAn3zuTtcudMju3zFBRQMNpgu6qKvHh0xRK\n","/TpXLp3OywdDWZMdbdzayAv7m1Pn6BYJs2s7NdUJNNm2zal1lXmPuW4lSySWJFd14byTyvN+HkIM\n","Jyd0lkBVVfnMZz7DN77xDc4880yampqYP38+AE1NTdTV1VFXV0dTU1N6nc7OTjo6OpgwYUL6sd6s\n","k8stt9zCjTfemLXs1ltvHejNLcpwCtj0x1jfjuFW3ujFa6xe09ePht+vl+EUVB9O+ygxuq1/7gCb\n","th/s8/qVpT5+ePkZAzgiIYQQI8nEiROprKzMWqaqKrW1tSPqWi/XNcDV587k20/sJWHYqIrtdn1l\n","QoWfs2aO97xJ073MsEzTMC2byhIf1aU+75m4u02idSQUI2k5768qTmP2Qtwg3L3P7Mtqwq4qUFni\n","49YPn1rwNYQYDga9JHDbtm08/fTT6Z9/+9vfsnjxYtasWcPPfvYzANrb23n44YdZs2YN55xzDm++\n","+SZ79uwB4Gc/+xmrVq3C5/P1aZ1cAoEAlZWVWX+6X0wK0RvDrbzRi9dYN25rpDNhMKkySE2pn0mV\n","QToTBpu2NQ71sE8IN6j+pz/9qcfJUW9OtHqzTi6yjxInwpb9zXz36X19Xl9RnB5WQgghxq5zzz2X\n","F154gYaGBgB+8YtfcMYZZ3DJJZeM+Gu9tSvm8G8feheTqoLomsqkqiBfvvDdbP/3D/DDy8/wPM/P\n","VWY4vjzAXR87nT9cv8Jz/e7n6kG/5pQKlvjQVIXyoI/xZYGCx+Blc2t56Jpz2Hj1Ei5cOJlTJldw\n","/oLJ3Fdg7EIMJ4OeYTVnzhxuuOEG/u3f/g2fz0dVVRW/+MUvmDp1Kp/5zGc44wznzuwtt9zCe97z\n","HgA2btzIVVddBcCkSZNYv349AJ///Od7vY4QJ8pIyjLLN9ax2N9q27ZthMNhVq1aBfQMqq9evTp9\n","0vTQQw8xf/789EnT/Pnzc55o9WYdIYbKxm2NxI2+9UZTAJ+qMHuClBQIIcRYFgwG+eUvf8lHPvIR\n","NE2jtraWX/ziF0yaNGlUXOutXTGnT7PpDeRs3+s27WR7/fGsSU4Ot8eKPgaPpGsUIbob9IBVbW0t\n","GzduzPmYG0HvbtWqVemLx0yBQKDX6wghijeSenENFAmqi7GqvjmCX9OI22avp91WFKgu9Q/Lsmch\n","hBAn1nvf+17+/ve/91g+1q/1BipQNJJajwgx0E5oDyshxPA2Fg+IElQXY9Ws2nLeaYthmM58f8UG\n","rXRV4T0zarh+1TwpKRBCCCEGWX+ztYQYySRgJYRIkwOiEGOHG6AGSBgWccPEtp1yv8zpADTFKQ8u\n","C+hUBJ0/D11zzpCMWQghhBiL+pKtNVZn/hajS78DVu3t7T1mhhBCjFyjrc5d9lFC5NY9QD27tpxF\n","06p4+rWj7GxsxbBssAFFQVUUakp9ROLGqC4RFkIIIUaDsTzztxhd+hSwOnDgALquM2PGDM477zx2\n","7tw50OMSQog+k32UEMXJFaBeu2IOW/Y3c+8z+9jZ2IoCVJboROLGqC8RFkIIIUaDzJm/Mxu1b9rW\n","KAErMaL0KWB1//33M27cOL785S9j273s1CqEEINM9lFC9I8byNqyvzkrA0tKhIUQQojhbyzO/C1G\n","p14HrI4cOcKmTZt4+eWXAdL/CIQQYjiQfZQQA2e0lQgLIYQQY8FYnPlbjE5FB6w6OjqwbZtLL72U\n","W2+9lZNOOmkwxyWEEL0i+yghhBBCCCHG5szfYnRSi33ihAkTmDZtGnPnzmXdunXp5bt27WLcuHHU\n","1NQwbty4QRmkEEIUIvsoIYQQQgghuiZWWTJrPBVBnSWzxnPnxQulrF+MOEVnWEUiER555BG++MUv\n","8vzzz7N8+XIAFixYwLZt2wZtgEIIUQzZR4mRKN+U0zIVtRBCCCH6Q8r6xWhQdMBKVVU++tGPUldX\n","x8c//nH27NlDRUUFqqoSCAQGc4xCCFGQ7KPESJNvyunlc8fz6EvvEDdN/JpKU2tUpqIWQgghhBBj\n","TtElga5zzz2Xiy++mO9+97uDMR4hhOgX2UeJkSJzyumaUj/lAZ1DbVE2bT9IZ9LEtCCatOhIGLR1\n","Jti0rXFA33/L/mbWbdrJ+fc+x7pNO9myv3lAX18IIYQQQoj+6HXACuCaa65h9uzZADJlvBBi2JF9\n","lBgJMqecjsQN3mmLkbR6fl9NC2JJc0Cnonazu7bXHyccM9hef5ybN++WoJUQQgghhBg2ii4JzPTu\n","d7+bd7/73QB8/etfH9ABCSFEf8k+Sgx3W/Y309qZ5Fg4Rns0iWHZGKaV9/kJ02b2hPIBe//M7C53\n","uuvD7TE2bWuUssNh6M477+Tmm28e6mEIIYQYJqTXpRgrigpYdXR08OMf/7jH8rq6Oi699FLuvvvu\n","9LIbb7xx4EYnhBBFkH2UGEnc7KZowgRbIRwzKCYPcNHUqgEbQ2Z2F4CiKAR92oBmcYmB86tf/UoC\n","VkIIIQDnPOKGh16mrTOBDRw4GmFHQwv3XLJIglZi1CmqJNC2bZLJZPrP3XffjWEYmKYJwLe//W3C\n","4TDhcHhQByuEELnIPkqMJG5207SaEqpK9KKCVQBPv3Z0wMYwq7acWNJMl8zatk0saQ5oFpfou4UL\n","F3Laaael/+zbty/rZ/fx/mhtbWXu3Ll87WtfSy/7yU9+wimnnMKpp57Ktddei2Xlz/oTQgjhOJE9\n","Ibfsb+Zzv9rJ0XCchGlj2TamDc2ROPc+s2/Q3leIoVJUhlV5eTnnnHMO4JzUbtiwgaVLl1JZWQnA\n","xIkT+Y//+I/BG6UQQniQfZQYSdzspo6ESUtnsuj1dja2smV/84DcPb1iyXReaQpxuD1G0KcRS5qU\n","+nUuXzK9368t+u/xxx/PuTyRSNDS0sKkSZP6/R6f/exn+chHPpL+ec+ePdx+++289NJL1NTUsGbN\n","GjZs2MCnP/3pfr+XEEIMd26J3StNbSRMG7+msmBKVcFSu3wz/g7GzL7ue7VmnDtYFugqmMCrh9qz\n","tkXKBcVoUHQPq/vvvz/d5+LMM8/k/vvv5+STT2bRokWDODwhRgevA8dgHVTG2sFK9lFipJhVW85f\n","9h0jHDN6tZ5tM2A9ppbNreXOixayaVsjbzZHOH1qNZcvnc6yOaN3HzGSzJgxI+fyq666ihkzZnDb\n","bbf16/Xvvfdeli1bRmVlJQ0NDQA89thjXHzxxYwbNw6AtWvXcv/99+cMWMXjceLxeNYyN6NVCCFG\n","GjcQ1NaZoCNhYlk2qqIQiiYLBp960xMy89zctuFIe4xI3EBVFaqCOmfOHO95vu6+lwLp7GwbMDMm\n","GDqRATQhToSiA1b/9V//xaOPPsqKFSsYP3581mNuD4yxaiQFBobbWAuNZ7iN10u+sXodOIBBqUEf\n","iwcr2UeJkWLxtCp+v/tQr9dTFWVAe0wtm1s7avcHo8E//dM/4fP5uPTSS1m9ejWf+cxnaGlp4YEH\n","HujX6/7tb3/jz3/+M5s3b+bnP/95evlbb73F/Pnz0z/PmDEjHczq7o477ugRNFu6dGm/xiWEEEPF\n","DQS5/LqCaTlZ+50JIx186srCCpEwLfyaQmtnkoCuevaE3LK/mXuf2cfOxlYUwKeqdCQzgvymzdFk\n","gj++cqjHdUDm9cXbrVECukqp38nSdlk2qArMr6vMCqB1JEzao0laOzv54sN/566Pni7HfTHi9GqW\n","wKuvvpqJEydyxRVX8JWvfGWwxjSiDFVgoC+BnOEWxCjUMLDr8SQ2NgeOdgzbhoJen63XnZdjkTjN\n","kTiKoqAqZNWg92cbC93tGUmBwN6QfZQYCR7Z2dSn9Uzbkh5TY0hDQwP/+q//ygMPPMDll1/Oeeed\n","x29/+9t+BeDD4TA33HADmzdv7vGYZVlompb+Wdf1vD2sbrnllh4TWNx66619HpcQQgyl+lRwKRI3\n","sGwno1lRIGFaVJb4eLM5kj7XD0WThKNJMveOYaC1I8GEiiC15X5iSZPTp1UDXdcIh0MxTMtGURQS\n","ydwZqd2vAzKvLxKGRThmkKsbq6JAbXmA61bO4xuPvwrAm80ddKaCWgpwKBTjX362nTOm13D9ynmj\n","4rxfjA1FNV13TZs2jddee41wOMwdd9yRXm7bxbaMHX0yAwM1pX4mVQbTkfj+ytfAz915ba8/Tjhm\n","sL3+ODdv3l2wwd9gjrUv23HPM/tojsQxU1+f7g0D73UfT50wm5aV9fiJbHBYaFu8Pluv2bheS9Wa\n","+1QFXVXxqc5z3Br0vvJ6z75+f0YC2UeJ4W7L/mZeP9y35v8BTZMeU2OIZVlccskl/OY3v+H3v/89\n","r7/+Og8++GC/XvOVV17h2LFjrFmzhqVLl/KNb3yDDRs2cM0111BXV0dTU1cwtampibq6upyvEwgE\n","qKyszPqTGewSQoiRpCLoo6UjgXu6aNlgWs6FsjshiXuunzBMcoXyTRsOt8d481gk3RNyy/5mbnz4\n","7zS1dWKkrmeKOSd1rwPc99RUhXaPNgLvOqmCey5dBDYcDsVojiTSwSroKh80TJuXGttGzXm/GBt6\n","lWFlWRaKovDtb3+bj33sY7zxxhucfPLJfPe73x2s8Q0b+TJSBmtq8EIZO22dCQAiMQO/rpIwEgWz\n","Z4ZiGnOv7cgM1rhZQAnTTu+k3b99uoqCgq3aJAyLVw+1D0m2mNd71jdHUFBobI2SMEz8ukZAU3kz\n","9Tv4y75jtEeTJAwLv+7EiU+fVs3brVHnxd0b5gNUuTartpzt9cexbTv92bp3e3pTaz/SjOV9lBj+\n","1j93gP/35Bt9WlcFvrB6nvSYGkNs28ayLFRVZcWKFTz//POcf/75TJ06lfe///19es1zzjmH119/\n","Pf3zz3/+cxoaGvja177Giy++yBVXXMEtt9xCeXk5DzzwAGvWrBmozRFCiGEr3+l30rTTwadvPP4q\n","QZ9GS0fC87Us4M6LF4INN2/ezbFwDMui6BmBXVv2N/P8vmN0pLK+8lEVqCrxpd8v4hHYsgHbtrLK\n","HIUY7noVsPrEJz6R/v/bbruNX/ziF9x+++2sWrVqwAc2nHiVrnkFBvrDK6jwSlNbum5ZVUj//+6m\n","Ns8yusEaK+QP6HkF19IKBWvs1GMZO+tCQbuB3o5C71kZ9LH3cBgFUFWFjliSCDBnQhmLp1Xx5J7D\n","mJaNqkDcsNBUhUVTq2gOx3mxoYWkYaGqClbqiDS/rrJfY71iyXR2NLTwxpFw+uOrLvVnHXBPZODy\n","RBmr+ygx/G3Z38x3n95H3MhdYlXIuyZXsHb5nAEelRjOzjzzzKzyv8mTJ/PrX/+aj33sY7z88ssD\n","/n5nnXUW11xzDcuXL0fXdc4991yuu+66AX8fIcTw89WvfrXgc77+9a+fgJEMjfZYkvFlARKmRTRh\n","YOPMvhf0ayyfO54bf/13jrbHsG3vwJOKU064bE4t6zbtdLKjFAWzl+GqqTUl3Lx5d8FglevVQ+3p\n","a0dVBdUm73ruachoOO8XY0OvAlaZ/QpOOeUUTjvttAEf0HDklq7l6jN0/cp5TmDgaCQdCKou8fW7\n","bMMrGyph2unARualT9K0ufeZfRwLxzN2izbHwl1jHYxpzL0yj7yCa6dOrvQM1pwyuZIdDS0kLRtV\n","sdM73lPrKj1fdzC2Y9ncWs/3nFRV4ryIe3GhKGDb2MBLB0MEdJW4YWJaoKkQ0FVePhji+pXzWLdp\n","J6FYEtO0URSoCvq4buW8fo0VIGFYJE07HbBKGM7tHa+Mr5FurO6jxPC3cVsjcaNvs6j5tV5V74tR\n","Yv369T2WnXzyyTz99NMD9h5XXXVV1s833nhjj95UQojRb6yX9M6qLedY+DjTakqyEgVqKwI8tOPt\n","VO+pwllSFlAWcD5Lty9WwuxdsKq2PEBl0MexcLyowgvLhmjC5JWmNoI+jc6E6Xm+YQMtHQnmTJSe\n","mGJk6FXAyvVf//VfXHrppdx+++1ccsklAz2mYadQ6RpAuug5/Xdxr50vS8YrG+rF+pacL29aNrve\n","buvxmA3sertt0KYx98oGc4Nrfl1BVVQs2yJh2CRNm+tXznOywaJJbNtG01SqS7qCNTe4wZxoEhMn\n","6FJV4uP6lfO48dd/T2csGZYTH7JsJ2jXn+3wytry2pZwLMm4Mj9J0yaeNCn1a/g0hfZYkkOhGLGk\n","U6qma85XJJa02N0UAsCvq/hUFRsbBcUJIKU2wytzzaus755n9tEeS6KqTpDVsp27R/c+s49Vp0zM\n","m/E1Woy1fZQY/uqbI/g1jZhV/H1WBdA1RZqtj0G5Mhm+9KUv8b3vfY9YLMakSZN4+eWXue+++4Zg\n","dEKI0eY//uM/hnoIQ+qKJdNz3tQ/mmqU7p77x5O5+1dlOqkyCDh9sfYW0bNSU6AsoNORMJhYEeSu\n","j53ONx5/lYRhUexljQI0RxLoqsyKLUafXgesWlpa+MpXvsLHP/7xdNO4l156iQsvvJApU6bwxBNP\n","9JhSftTIUbq2cVsjlm1z8kkVve4H5FVq6FXS9be3WruGkFEqp6lKVsAmleQDZAdy7My/u+0I+zJ7\n","nFc2mF9TU9k9NjYmSmrIPk1l2dxa1i6fxU9faKClI8G4Mj+fPHdmVgDNr6v4tJ7BnHSGWbc4oVlM\n","3mwehbK2vLZlVm05TW4/KpzeIwnDZvaEcv72ViuWbePXuge6rIzvT3mP7w+Q9/tRqB+ZV5B1fHmA\n","soCeWmY526UovHzQCaCtf+4AD7zQQGtHgpoyP1efO5O1K0ZOKdKY3keJYWtWbTnvtMWI5ZkZKB/D\n","tCnxSbP1saasrCzrZ3df/+Mf/5h169Zx//33Y5p9y9gTQggvBw4c4Mc//jHHjx/PahD+05/+dAhH\n","Nbjy3dT/xM9eRFVAVVSSplUwWKUq8HZrlC37m51LtCIuS2ycxu6qojB9XCmkZin0arLe/T19ukos\n","aaYvC9XUNWD3t1eAUr9GqV+nPZos6vWFGGq9Dlh9//vf58orrwS6TqC++tWv8qtf/YodO3bwve99\n","j9tuu21gRznEvErX3HTPgy1R4oZJQNfw6UpRdcH39CjfI6t8z+HuelIhKhsn8KEqTsAkY4fk0xR8\n","uorhzgqR8cJ+XS1YRtbXRuazasv539ePpKdr1VQFv6Zw+rRqjoXjvN3amb3HVGBydZAt+5t5cGsj\n","SdNiQkWAWNLkwa2NzK+rSmcR5QvmuNuf9RHhBO36yiuDCmBSVTDvtnj1qdr9dhuqqmBaYCkWtu30\n","ufJpimfgyS1FzYzBuaWoRfcjyxFkrW+OUBHUqSn1p5e1diZ4sznC+ucO8O0n9qa340goxref2Asw\n","YoJWY3EfJYY/9yZEb7KrFAWCPo0vfECarY81X/ziF3Mur6qq4otf/CIbN248wSMSQowVl19+OWvX\n","ruWnP/0pt912Gz//+c856aSThnpYg27Z3Noe1zs1ZX4Oh2LEDbNgLyk3SBSJG/zLz7ZT6JJEV53n\n","O0Ewp6XMgWMRbt68m9aOuOe67qWPpoKCQtywuq4YU9cFFUGdUr9OcySOYdnoKkwbV0aZX+Nwe0wy\n","t8WIUXTA6sUXX6S9vZ1HHnmEbdu2ZT3W3NzMeeedx4IFC7jiiisGfJBDzavP0D1P73Oabaf6W0US\n","BnbcLqoueLdH+Z5XsGbBlGraOo8BTl8iv8/pb7JwajXN4Tjbu5UMKsBpU6sKlpFt3NbI8UicuGFh\n","Wgk0VSGaMAtmi9WU6HQmu+45GJaNYdlUB3Waw84OV1VIB/vcsRUaT6HMLVVRUJSMoJ3tZDtB3zLF\n","nEwjJ4MKzNR7dr2me9zJtS0vHQzlzVry+n3ZNnkDT8++djR9cHQPQpYNu98OseFfzvTsR+YVZB1X\n","Fsj7ng+80ICRClZZtrP9hmXz0xcahn3Aaizvo8Tw5u6PIvHi7pb6NIXJVUEWThmYsm0x8pimyV13\n","3cX27dtZvXo1n/70p4d6SEKIMUJVVa6++mp+97vfsWrVKs477zxWrlw51MMadO6x+pWmUOpcXsGf\n","ijp1D1a5wajM83RSCQQqTsVHMvWYTwUbBSPjRapKfPg0hc64iU9Xe/TO6kiYqIoTjDK7pWlVlfiI\n","JgwMyyaga8QNC10F01Io8zvXTclUj1pdUyj1O32tygI6SdPicHtyQHoYC3GiFB2w+uQnP8mrr77K\n","448/TklJSdZjbkChurqatra2AR3gcJGvz5Cb7mnZNm5yfrE5Pl7le16ZW7deeCqvNIXoTBhUlviy\n","gxU2WX2h3Cbw162cV3B2uB0NLekyOEgFnhImLza0eG7HM3uP5cx2+tPeY1SX+tKzbsQNZ5x+TaU9\n","mqQ9mvQcj1cWkW1DKLWNmQGihVOr+pwpNrkqyMGWzuxJCW2oq3Jq0TNnEMm1Lfmylgr9vvIFnv74\n","yuH0R4oCSupAmDCtgv3IPPuDebznk6n37F5q6QYeh7Oxvo8Sw1Pm/ihpFjdD4C8+ebYEqca4m266\n","iY6ODq666iruv/9+YrGYzNgnhDhhotFoepKHVatW0dTUNNRDGlTusToUTRKOJtOlf5k3q7sHrXya\n","krrJ7fSbxAZsG7+mYto2Vuo6z7BA10BXFSzbJujTqKsOMru2nN1NIazUdQ50XQupioJp2fh08Cta\n","uuoj4FOpqw5SGfRR39zB8Y44tgUJZ14lDMum1K9SVRJg4ZSq9DVCdYnOn/Ye41g4zrgyP1fKzTAx\n","ghQdsNq9ezcPP/ww1113HVu3bs3qAWMYzl3jI0eOUFs7+r78XtlOh0JRZ2I4u6twT1HgUFu0wKs6\n","QbB85Xtuo75cmVuFghX3XLIo/djs2vL0Y4XKyEKxrlrmzABae8y7xrm1I4GqgF/vmmEkYZi0dCRY\n","PL0m56wbsyeUe2YXQf4GiJmBnlxBoI1bvZun52OntltVuhqV23ZXFlW+GUQKbUuh31e+x/yaczfG\n","pitYBU5JKOROXXYtm1ub93vg9Z6q1nVEzvwOaNrwb+I4lvdRYvjKzCSNxAySBYoCS/2anEQKnnzy\n","Sfbs2QPA2WefzUc+8pGsgJVpmtLDSggxKL7whS/w17/+lU996lOsXLmS0tJSli1bNtTDGlTusTph\n","ZDdVd4/YJT6NiqCPw+0xwDlVThhOG5S5J5XTHI4Tjhnpi0HbcgJaRqoyx2mX4txcf++8Wn542RkA\n","rNu0M+f1w7yTytl3JELCsFEVpxxRUxW+uPpk1i53Kh627G/m2v/aSUtHEgXn8bhhEUuazJlYzg8v\n","PyP9vJs3787bgkWI4a5XPaw++tGP0tTUxJe+9CUeeOCB9PJ58+bxk5/8hD179vC+971vwAc51LxK\n","0xKmnb6oTweuipytbuGUqrzle+nsT9vOjhykFApW5HrMMwBEVyNz5327/rdQI/OaMj9HQjEs20r3\n","frJsGFfmLyrolG88fQ303PzILs/m6fl4zfRX8PMrYlt6+/taMLXayW7LCIaiwMLufary6Mt7VgV9\n","HE062VSZX7nKoK+o9xxqY3UfJYavzONHssC+VFWc/b8QqqrS2dlJaWkpoVAonTU6efJkANrb21FV\n","dSiHKIQYpT7wgQ9QXV0NwN///nf27dtHMjm6G3S7x+qWjkR6WUbRCNGkmbpBbXMs4pwnn1QZ5JPv\n","ncn8yVXcvHk37dEkhtnV+zagq4CNrirUlgd6XBtA9rUFQHvUua01Z0I5l5w5lT/tPdY1MdV7Z6aD\n","VeCcy8+bWMGLDS0opLLAcpxnFGrBIsRw1+um65///OeZNm0akUhXU/E777yTf/7nf2bKlCl85zvf\n","GdABDgdemUkvZgacehHkgZ5lW93L9/KVn/VVoQDQ+PIAR0Kx9PPdnJra8oDn61597ky+/cTeHncB\n","PvnemX0OOmWOubdBl0LN0/NxMqjiOTOoivn8Cm1LPvlm5bvB/X6kZgl0Z4rsasg/8M6cOY4/7z1K\n","3DAxLaeZY0DXOGvWuEF7z4E2FvdRYviqCPo4cDTCsXDc87jg1zPKdsWYt27dOt7//vezcuVKHn30\n","Uf7zP/8TgN/97ncANDQ0DOHohBCj2QUXXMCWLVsAp5XCWWedxfz589NZn6ORe62XKfOIbdlOqw/T\n","tplaU8qdFy/MOse/86KFfP3xV3n9cBhwgkcJw0JRYPaEchSFvNc5d160kHuf2cfOxlaUjObrh0Ix\n","7vro6Xmvg9Y/dyA1E7nzs2na+FSlxwyAhWYWF2K463XAStM0HnnkEcrKytJTnU6bNo1nn312wAc3\n","XHhl1vztrdacPauKma3Oq2zLq/ysP/a8E+Jvja20diRo7UyyaFpVesfpBp7MjKbbbuDJi9uM+6cv\n","NOS8C+AVdIKuA4Kd+UNKX5unO7XfGbPyKUq6eXo+hTLQCm1Loe3MpdCsfF5lfYPB/Qzc/l+5PoPh\n","bizuo8TQy7Wv+t2udzJuamTv3PyaimlZuHH08WV+PnnuTCkHFAB89rOfZcGCBezYsYNf/epXLFq0\n","aKiHJIQY5b761a8C8Pbbb6f/HyCZTBKNFm51MpK557+tGRlWmSoCGhVB3fOGdFs0mb4mtGynZ1VA\n","V5kzIbs8b92mnT2uazZua6SqxFd0FpR7/WB0uxFmWDbheJLKkor0sqJnFhdimOp1wArgnHPOAeD+\n","++/n+eefZ/ny5QM6qOHGK7PGrymoqpLuXWWnyrd8Rfb86Wv5Xl8COYWCI4UCT14y1y9WoeboxTye\n","6zNYMKUqb0N2L4UyqIrZnny/k3yPPfBCA2aObDB3Vr6+BMH6o7+fwXAx1vZRYmjl2ldtOdBMW2f+\n","jFjDtNJ9MqpKfCRNS3pKiCzLly/P2ne9+uqr7N+/n//7f//vEI5KCDFaaZrTi9aZrKerL20gEOD/\n","+//+v6Ea1gnhnv9e+6udtOQ4dp86pYqHPn1OznW37G/mhode5mi3CYos2yZmWOmWJN3PFf6y7xj/\n","+/pRyoM6LR0JbGyShs24cj/lAd0zC8q9fsgsW4SMFiIZirkhL8Rw1qeAFcCDDz5IWVkZDQ0NLF++\n","nFjMKSULBoMDNrjhJF9m0oIp1bR1HgOc1E+/z8niWTi1ul/v5xU46Gsgp1BwBPoWeOqrQjXVXo8D\n","eT+DzCyhHrPyFVAoQJTvs/X6nXiN1W1YryrO90ZVVFTFzKqhP9FOdJBssIy1fZQYOt33VUfbYzR3\n","ev8bdoNVaupsszygE4kb0lNC5LR7925aWlp4/fXXOeecc9L9ZOrq6oZ4ZEKI0eI//uM/AKcM8Prr\n","rx/i0QyNWDJ7Mot8k2llXg8cDsVy3qCybFDsrpYkmecKHQmTaNIkadpEk2Y66BSKJQnFkpT6NXRV\n","ycqCct/zlaY2Dme0cOlufFkgqyRwtNyMFmNXrwNWv/3tb/nwhz/M73//ez760Y8CcODAAZYtW4am\n","abzwwgvMmjVrwAc6lLwyk/oTHCkkX+Cgr4Gc4RYcKVRT7fW412fww8vPGJQds1dQyms8NuR9zKth\n","fX/1JQtvNBiL+ygxNNx/Y8+8diQ9wUM0YXKk211WL5btzMQaTZpUlui82RwZs/92RTZd1/H5fDzz\n","zDPccMMN/L//9/+wbZuVK1eSTCZRFIVXX311qIcphBhlLr/8ci677DL++Mc/Yts2559/Pt/73vey\n","Zl8ebdwsqc6klbVcV8GwsifTyrweAGj1yKbObEmSeV3TEkk4AS2crChNgcxWu50JE11VWDS1ii37\n","m9M9rmzbydzK/35gY/doITNabkaLsanogNWTTz7J6tWr+ehHP8p//ud/ctpppwFO2uj3v/99fvSj\n","HwHwgx/8gLvuumtwRjtEvDKT/nrLykGLWue7aOlrIGcwgyN92Y5CNdVej795zAlqHWyJEjdMArqG\n","T1fSwa7B2DF7fbaFgm/5HvNqWN8ffc3Cc9cdiRfLY3kfJU68zH9jqqIQS5o0Hu+giAlie7ABw7Jo\n","jyaZO6Hc89+uGDtOOeUUPvvZz2Lbdrofn+u1114bolEJIUa7z3/+85x77rnp86af//znfPazn+XX\n","v/71EI9s8NzzzD6aIz1vNiUt0Lr1wXWvB8oDOu+05c90AigP6ixMBZ1aO5McC8dojyaJJkxUBdx8\n","ru7nDgpQFtB5+rWjPLi1kcOhGKZlp1vP5KMApX6dRVOrWLdpJ680tZEwbfyayoIpVSPmnF6ITEUH\n","rG666SZ27drF/Pnzufvuu1m/fj3PPvss48aNY8+ePXz7298mkUikd26jSaHMpMEIjngFHAoFck50\n","cKSv21Goptrr8Xue3sfew2EURUFVIJIwsOM2cyb2rym9V7DGKyjl9TuxbfI+tnbFHBqaO3jkpSbi\n","SYuAT+XiM6YU1TfMS1+z8IDUzIRJbGwOHO1gR0ML91yyaNgf4MbyPkoMPvcO5+6mEAnDSt/hDOqq\n","cxJJzxPO3rBSJ6FeGZnD/d+gGDyhUIi//OUvWX1lhBBiMBw8eJBrr702/fN1113HQw89NIQjGnyv\n","HWoH6NETCrqCTuCcCzy/7xixpEmoM4lp9+wj5VKAgK6yaGoVN2/eTTRhgq0QjjmZWV6nDKV+DZ+m\n","8Le3WrFxAlVKakKsfFQFSgM6Vy6dzoNbG2nrTNCRMLEsG1VRCEWTcgNMjEje06bloGkaV155JY2N\n","jTz99NMARKNRAoEAJSUldHZ2Dvggh1pNmR/ThrhhEkuaxA0TcwDLttZt2sn59z7Huk072bK/GcgO\n","ONSU+plUGaQz4fQ3uWLJdEr9OofbY7R2JjjcHksHcmbVlhNLmum7sW5wZPaEctaumMO/fehdTKoK\n","omsqk6qC/Nv57+p3cKSv2+HWVC+ZNZ6KoM6SWeOzpon1elzBaXBvWk5tuHvXodB4Cm3DzZt3s73+\n","OOGYwfb649y8eXd6Xa/P1ut3csWS6aiKwhtHwrx+uJ03joRRFYXLl0x3Dnz7j1Me0JlSU0J5QOf5\n","fceLGq+XYrPwuv9O7k3dYTItJyXatCyaI3HufWZfv8ZzIo3FfZQYXP++eRdXPLCNbfUtdCZMDMvG\n","sp0Tx86klVUq0B9zJ5bTHkvK9NOih9bWVp566qmhHoYQYgwwTTPdJw8gHo9jmqbHGqOHT1N7NC2v\n","KvGlz9lv3rybeNJyrj9S5wL5ZobXVYWEYXHf/x6gqa0T27aZUBGgIqijKE4ZYL45uqJJk+ORhDML\n","oO1e8/RsqA5OoKoyqDOuzM+Kkyfw0sFQulwRwK8r2Nh0xA2a2jr54sN/7/d1hhAnUtEBq8yL9I98\n","5CO0tLTwpS99CYDx48dz6NAhDh06RG3t6IvYrnzXBKDrDrgb3X7/uyf063W9AiReAYdlc2tZPnc8\n","kbhBU2uUSNxg+dzxLJtTyxVLpmOYNnveaWd3U4g977RjmHY6a2l+XRWLp9cwe0IZi6fXMH+y98x5\n","g7kdLjvz727XfW6z+zePdfC3xlb2NIUAOBSKoihdO+7MpoiFAk/5eAVyAM/AU6HgW9coM/62nfds\n","60yQMCyaw3EShkVbZyL9nn3lFVzz+p28mrrD5NNVdFXFpzu7CHf5cDaW91FicGzZ38yKb/+JTdsP\n","et7VHJhwFVSW+Dz/7Yqxa+bMmXzta18b6mEIIcaASy+9lPe9733cc8893HPPPaxcuZJLL710qIc1\n","qE6dXAk4N2ozA1DjSn1cuXQ6G7c2cs3Gv3E4FKWmzIeudl1CG5aNrirp4JOuwqzaMqbUlNAeSzo9\n","rmynz2VLR4Lx5QHqqksYXx5In4t3515zBjQFRVHQU2PKdb5h2dARN9LXJO55fsKwnJ5WtoJlO+M0\n","LTgUinHDQy9L0EqMGEUHrH72s5+l/3/x4sW89NJL6X9kq1ev5pZbbuGrX/0qq1evzlovkUjwla98\n","hUWLFnH22WfzwQ9+kKNHj9LR0cEll1zC/PnzmT9/Po8//nh6nd/85jfp5Zdeemk6I6Iv6wyE1qhB\n","mV9DV51Qg65CmV+jrdMouK4XrwDJrNpy2qNJ3jrewb4jYd463kF7NMnsCeWsf+4AD+14m3jS2RHF\n","kxYP7Xib9c8dYM87IdpjyawgUHssyZ6mUFGBnL5kJnkFXWbVltMSifPaoXZeaQrx2qF2WiJxZk8o\n","Lzget9n9kVAMw7TSze7XP3eAhOlkVPl1hRKf5tw9sJ2miIUCT/kUE1xz9Aw8uXIF3zZuaySWNAn6\n","VDRFIehTiSVNNqVm+ojEDcIxg5hhEY4ZROJGegrcvvIKXHr9TnJvyMgwlvdRYuC5+8LG1mjhJw+A\n","qhIf7dGkZ7amGJu+973vpUvKhRBisDU2NvLVr36VgwcP0tjYyC233MKjjz5a1Lp33303Pp8PgCNH\n","jvDBD36QhQsXsnjxYrZt25Z+3k9+8hNOOeUUTj31VK699lqsVGZ/X9YZCNevnEdteQBNU1EU8Osq\n","EysCfPa8OTy4tZHt9ceJJZ0M69aOJH49e39sWHa6LYBf1zjUFqWpNeqU8pEq+bdtEqZFQ3MHTa1R\n","jqd6ZqlK7swpBdA0FVVRsFPPy3wsk2k7s9Vjk76GNFJVKAkz+3NSYMRVT4ixreiA1ZlnngnAZZdd\n","hpoRVVYUhWuuuYbq6mrGjRvHNddck7XeoUOHOOmkk9i5cyfbt2/ntNNO47vf/S5f//rXqa2tZc+e\n","Pfz2t7/lU5/6FC0tLTQ3N7N27Voef/xx9uzZw7hx4/jmN78J0Kd1BkJ9c4SaMj+nTK5iwZQqTplc\n","RU2Zv98lGvXNXY3D9x0Jc7DFuTB6sznC4mlVROIG7alARnsqkLFoalVWE3i/7gRrTMtpAv/ACw3Y\n","NgRSgZxAKpDz0xcaCgZy3Au0P+w+xGuHwvxh96GiglavNLXRkTDpSJiYtp3+/91NbdSU6HQmLYxU\n","jxfDsulMWlQH9YLZRV7b6U/twE3LaVZsWl0zcXh9rl4KZTZ4BZ68gm9en084ZqTvorgHNMuGSNzI\n","+p30JoAIeAYuvX4np6TuMCUtG8OySKbSSk6tqyzqfYfSWN5HiYH39cdfpS2af+af3vIKNfg0BZ+m\n","MHtCeZHZmmIs+OpXv8p5553H+9//fm655Zb08o997GNDOCohxGj15ptv8uabb/K///u/zJs3j899\n","7nNce+21zJkzh7feeqvg+tu3b2fXrl1MmTIFcHpfrVq1it27d/OjH/2Ij33sYxiGwZ49e7j99tt5\n","4YUX2LNnDw0NDWzYsKHP6wyEZXNrWbt8FuPL/KiKwvgyP2uXz0qX102qDFLi18GGhGkRiecvkexM\n","mCRM5xzaPQ932whAV79KM8cNb5ebrWVaNmUBDTNVfpjv+QChaJJ7n9mXvoY08qSG66kXHwnVE0JA\n","L5quu77whS8ATpT7iSeecF5E17nnnntyPn/GjBl8/vOfT/88fvx4mpub+c1vfsN///d/AzB79mzO\n","OeccnnzySSzL4txzz01PO3/NNddwySWX8K1vfYtHH3201+vkEo/HicezZ4Lwqs0uNJtdX1UEfXkb\n","hz/12lGgK4jhXuw8/drRgk3g8z1WKIOo+wWaDbRFk3z98Vd54oYVebcjYdpYOWZRTJo2z+w91nWh\n","ltGV8E97j+HTFDoSZnrM7v+72UVe27nylJMIRZPpuxV+TUVRFBZOreJYON6nhuxXLJnOjoYW3jgS\n","Tn/m1aX+dGaDG3jKNd6N2/I3Svb6fOJG112PzMNKLGkVnOnPS2bgsvvMlpnfp+6/k7s+ejrrNu0k\n","FE1iph6uKvFx/cp5nu83nIzFfZQYWFv2N7P3cHhAXmtaTYlTrhyKOUFimx4NWt1Zfdx9jUw/LQA+\n","+tGPAnDqqacCUFdXxw033MBXvvKVoRyWEGKUWrlyJQCHDx9O/79t2/h8Pi6//HLPdUOhEDfffDOP\n","Pvoop59+OqZp8vjjj/PjH/8YgCVLljBu3Dh27NjBn/70Jy6++GLGjRsHwNq1a7n//vu5+uqre73O\n","pz/96Zzj6e151Jb9zax/vp62zgQ2cDwSZ/3z9QR9zjXIwZYonQmDYnO6CgWXXPmCSm5QK2FYWdcK\n","Xmxg19ttI6k4Qoii9Lrpuuu6667jwgsvZO3atUWv09jYyIYNG7j22mt56623mDlzZvqxGTNm0NDQ\n","kHc50Kd1crnjjjuoqqrK+rN9+/a8z/fqXdQf6aCB2y08o2u4O1tFQFdTmVJdvYRqyvypSL2zA7Ns\n","CyvVBN7rsUIZRPuPdmUgZVYeZC7PxZ9qUJgwbKJJk4ThzJjh09R00Cno0wjqGkGfhqpAS0ciHcjR\n","VdBVFV0FK5W+CnhuyxVLplNV4sOvq9SWB/DraropYqGG7MX/ZrJL/rzG6xUM9Kemwo2nPp+44byg\n","T1PJOzC776WNkC/Y53zuXr8TcNKgfZqayvpQ8evqiCoNdI2lfZQYWBu3NQ7IV77Ep/Lti09jwZRq\n","FBSUPMGqxdNrJItK9NDU1ATA66+/DjjBdLcv3+9+9zt27NgxZGMTQow+9fX11NfXs3z58nS2VX19\n","PW+88Qa3336757rXXHMNt99+O1VVTm/co0ePEggEqK6uTj+n0DlRX9bJp7fnUfc8s49j4TgJ0y2j\n","szkWjtPamaClI0EkkT9jaTBkZmP1RtK0ee1Qu+d1j3udNX8EVE8IAf0IWL344osEg0EqKiqKen4o\n","FOLiiy/mvvvuY+bMmViWlTU9s67rWJaVdznQp3VyueWWWwiFQll/zj777CK2In/vor5ojyUZXxag\n","POhDUxXKgz7GlwVozyxD6faWAFefOxNNVUgYNgnDCRBpqsIn3zuTq8+diaJkB0cUBT753pkFA2/u\n","NO1usMr92yoQ7ZlUFexZ76LA5OqgZ9DJq6zP3c582+JVNuPVkN2LV8kfpAJzihOYi7mBOcUJPHkF\n","A0v9Wo+vio3TBy3gzz1FedCv9aKnVk99DWpu3NZI3LAI+FQ0VSHgU4kbVr+bwA+FsbmPEgOhfgBm\n","5Ksp1SkL6OmZXatLfT32kwFd5csXvpuHrjlHglWih/PPPx9wypyB9LHgBz/4Abfddhsf//jHeeGF\n","F4ZsfEKI0enJJ5/s1fPvu+8+FixYwDnnnJNe1v28BwqfE/VlnXx6ex61O0dmkg10xFJZWb278z1k\n","bNsmnjQLXqJWBn1cN4KqJ8TYVnTAqqKigsrKyvSf+vp6Kisr08vdv3OJRCJ8+MMf5qabbko3PK6r\n","q0vfPQTnTmJdXV3e5X1dJ5dAIJC1LZWVlT12kJk2bmvEsm1OPqmcd0+q5OSTyrFsu0fvp972GZpV\n","W46NzbSaEuZNrGBaTQk2NrMnlKdnq0galtNLKJUOOr+ukrUr5vB/Tq5FUZz6Z0WB/3NyLWuXz2F+\n","XRWVJb50Yz5VcWaecmcDTJhWugmfYaUa8aX2atUlTpNEO5WH6u6bq0t9ntvhXoOpitOLRe0WXMsX\n","dFowpYryoE6pX0NTFUr9GuVBnYVTq1Lb6r0tkLvJuVdDdi9evaYAJlcFse3s97RtqKsKegYDj7TH\n","enxWAEfaY1QEfKhkB9dUoDzQv9nCCgU18z32SlOISMwgmjAxLZtowiQSM9idmp1xOBvL+ygxsGbV\n","lnv2nCrG1JqyrJld77lkEWfNHEd5UE8F2cfxs0+cxdrlcwZkzGL0srtdKG3atIk//elP/PznPx/Q\n","Hi5CCNEXzz77LL/5zW9YunQpS5cu5dChQ6xZs4aWlhai0a6bxYXOiSZMmEA4HO7VOvn09jwq3zWC\n","BZToGuoImfRCVZTiM8FGRgxOiOIDVuFwmPb29vQf9+dwOMzOnTvTP3cXjUZZs2YNV111FZdcckl6\n","+Zo1a9KzejU1NfHss8+yevVqVq9ezbPPPsuhQ4cA2LBhA2vWrOnzOgPBq4n3lv3N3PDQyzz96hH2\n","H43w9KtHip4q1CvIcf3KeVQGfVg4O1GLrmj4+ucO8Oc3mrFtpymfbcOf32hm/XMHnFIWG8oCOkGf\n","SllAx7Zh07ZG7n1mH6HOZDrN1LIh1JlMzxLx2fPmpIND7j5MVZzlXrwyxbyCTlcsmU5Ad7KYTMsJ\n","xgR0NZ3x5bUtXp+7V4mil0Ilipn79Xz/nysLrzNhoiqgpQ52Wqq3VkfCZMGUKipKfFQEnW2sCOpU\n","lPhYOLWqX6WoXkFNr8cSpoVl22ipz0BTnQy7pFls1f7QGcv7KDGwrlgyHVXt38lp9wDzsrm1PHTN\n","Oez+2gfZ/bUPSlaVKFqu2QHLy8s544wzOHDgwBCMSAghujz88MNs376drVu3snXrViZPnszOnTs5\n","//zz+eUvfwnArl27qK+vZ+nSpXz4wx/mkUceIRwOY9s2DzzwAGvWrMHv97Nq1aperTNQNI9jfkfS\n","TE9CNNz5dLWoZDC3QbsQI0Gvm663t7dTXl6enoXrrrvuYteuXfziF7/I+fwHHniA7du3E41GWb9+\n","PQCnn346d955J5/4xCfSM3tt2LAhHSm/6667uOCCC9B1nXe9613cf//9AHzjG9/o9ToDoSLo4/VD\n","4XRgImZYKMCcieXc+8w+miNxJzNGVTAtKz1VaPFNc7u1Vk+9kV9X8akqNjYKSrqXUObsed0bavs0\n","lUjMcEriFDBME9uG3U0hjoVjOdNdd73dBjhBDnBmFGzpSDCuzM8n3zuzYAbArNpyjoWPp5oLdzUc\n","nz2hnI3bGtFVhVMnV/ZoRt4VeMm9/W62T65t8frcJ1UFebu1s0ejmMnVQc/tyOw1BWZ6ZG6g63Cq\n","1BC7a7ROM+VoVjlhwrDw613lhDVlfo6EYvh0UBUt9fvq6sX1SpMzA0lliY9Y0uxqvpwef+7Px0v3\n","oKaVEdQE8j7m15TU5wmWYmHbzufr0/p38X4ijcV9lOi/Lfub2bitkfrmCLNqyyn3a4RiRp9f73B7\n","LKuRuhADLVcgSwghhosf/vCHfPKTn2TDhg3ous5jjz1GMBjkrLPO4pprrmH58uXous65557Ldddd\n","1+d1BkKZXyu6uflwpakKccMqKnEq8/pPiOGuVwGr++67D4CvfOUrrF27lgkTJvDII4/w1FNP5V3n\n","2muv5dprr8352P/8z//kXH7ZZZelezZkqqmp6fU6A6E9mswZ6AlFkzS1OtlWPl1FQcFWbRKGVdRU\n","oV5BDhvyPuY1e57Tn8h2Ag9ZM9JZWemuitJV8pe5fO2KOenAVbGuWDKdLfub2fNOezqs4jZA/8bj\n","rwJOdlrcMAnoGj5d4c3mSFa/pKRp4dO6+iUtm1ubzvbJtS3u55vrc3fLKVXFCbZYGdPKevHqNQXZ\n","pYbdZ/t7pamNSNxIlwzGDQtFcWYQvPrcmXz7ib0kDBtVMbFs0iV4y+bWcuXS6fz0hQaOheOMK/Nz\n","5dLpLJtTy7pNO9OlqN2DfcXMEpgvqGlD3scWT6+hOXyEhGljmE6pYEBTWDi1ushvw9Aaq/so0Xtu\n","gGpHQwutnQmSppOJqalOVmN/kgonVvg5a+Z4Lk/9WxZiIFmWRSwWY9euXcyYMWOohyOEEFncZugz\n","ZszgmWeeyfmcG2+8kRtvvLHH8r6sMxDKgz7aol1VKP2lKgzYaxXDpyromnNOX+z5S6FWKUIMF70K\n","WH3/+9/nC1/4Ahs2bGDXrl185StfYffu3ZSXF+6pM5I1tUWdbBrAVkBJBSXcYBXQlQDTi3/7XkEO\n","cErGgHT5GDiPuRk7lm2lAw5u02yfR4aMT1cxUq+TmS7q1/vcex+APe+EaI91BfVsnDLBPU0hKoI+\n","9h4Oo6TK4CIJAztuM2diuWcGFVBctk+Oz90tUUyYFnHDyVjya2p2M/scuveasrstz2wSnx5Pqkl8\n","JNZ1kHPXtW2IxAzPzLWuaXST2NgcjyRY/3w98+uq+tV03Suo6fyc+7HF06p4cs9hTMtGVZzAVgJY\n","NLUq31sNK2N1HyV6Z/1zB/juU/uIdmtMauNMMd2fvJXLl0zj9n88rZ8jFMKZdfSiiy6ivr4e6Opl\n","9U//9E+sXr2aY8eOpYP0Qggh+m7BlCpC0WTOJIV83CoF9/k+TaHMr1Pi1/BpKkfDMWLJvt396s0l\n","paq45y9W+vou3eLFzv86/b3+E+JE6XVJIEBJSQlf+9rXOPvss7n00kt59tln8zYzHi0UxfmHraBg\n","42TzAJwyuZIdDS0kLRtVsdNBi1OLmCo0EjPyBjn8Pg0rRxZM0rQ9M3ZeagzlzZA5cDTC64fDPcYx\n","Y3xpvz6bB15owLYhkCNjZ/q4Umzb6YNkup9l6m+vDCqABVOqaes85jzXsPD7nB3rwqnVHAvH837u\n","48sCeUsUvbi9phQUp4+T4vyu3WChezCzbadZvTNroMLCqVX86fWjOV8zlm6WX8Xi6TXpciO3cbxX\n","aeOs2nK21x/Htu30dsSSJqdPqy74O/EKatqQ97GXDoZSvcKyt/Hlg8O/6XqmsbiPEsXZsr+Z7z7d\n","M1iVqTf3HDNPKseV+SRYJQbMr3/9a8CZLh66SgD/9V//lWnTpjFp0iTOO++8oRqeEEKMGm6LjnAs\n","WVQPKAUnK6szYRD0afz4yvf0yKhe8Z1naWqNYuZ4Qffmu6Io6IozO3h71EBVFKpKfISiSZKmd3mf\n","Qlcml2k71SS6qqApoGkqAV1NT6LU/XUU4LQRcjNaiF6FVv/xH/8R6LrLd8EFF/CpT32Km266aeBH\n","NoycOrkS24ZY0iKaNIklnQj2/LpKblg5j9ryAG7Sj6ZAbXmA64uYKjSap1Y6ZlhZ2TyG5aR3utk8\n","a1fM4ZIzpxLwqVg2BHwql5w1lbXL57B4WhUJ087OkDFtFk2toqrE170lOApOE/T+yJ3NAy0dCQ6l\n","+j5lvp+iwKG2KH5NQVG6NUdXunbiVyyZTtCnOU3ZU8GaoE/j8iXTucFtSp9qim5ZNpVBH9evnMcV\n","S6ZT6tc53B6jtTNRdC+ZmjI/tg26BkGfhq45AcRxZf70ePI1iddVJT3DH6m/3fKiLfubuXnzbrbX\n","HyccM9hef5ybN+9my/7mrNJGXVXxpe52vHqovc/bAd6zM3o9Vt8coSKoM2N8GfMmVjBjfBkVQb2o\n","rK7hYKzuo4S3zJlcb3z4787smwP02u7r6KpScIIKIXrjgx/8YPoPkDUj1qWXXirBKiGEGCDL5tZy\n","50ULOakyiKqArrqVFbmfX+rXmFZTQlWJjxUnT8hZ/u/Ohu4mMmW+lJnK5p5UGWTDVWexdHYtpX6N\n","oE8lHEuip66FfKqSnrTJpQCB1ONmKoPKznhdGyj1OTMb5sqw8qkKEyoCXFfEtaoQhWSeY6/btLOo\n","ied6q1cZVt/61rf461//Sk1NDeD0ZPnVr37FBRdcQGdnJ6Wl/cvUGa5WnTKRFxtasiLuigIr3z0x\n","PV35pm2NvNkcYXZtedF9S9wgh3uHXk39rakKC6ZUcTwSJ25Y6UypoE9l4dQqtuxv5vn9xykP6NSW\n","OwGd5/cdZ8v+Zs8MmfZYktryrlK5gK4VVSpXiFc2j1ffp2njSjmYWVaZ2v7J1SXd3sGjKb3Wsym9\n","e9BxfyenT60u6nfilblWaDynTK7kxfoW3BCk++ipdZVs3NZIZ8JgUmWwRy8qcIJi8aTVI/+3r9sB\n","pGdnbE/V42fOzgjkfeyl2hB/2XeM9mgy3TsNKCqrq3vT6iuWTO/FxAMDo/s+6h/+4R/4n//5n1G/\n","jxL5uQFj9y7osXCsqLunXnTVycJ0MzuDPpUvrj654AQVQvTHE088MdRDEEKIUWvZ3Fru+ujpWecM\n","4ZhBOJZ0gj/YmKnTdfeGsnsjObMvZiiWxDJtKoI6ClAW8KWqauzUDX7nhv3i6TVcv2oey+bUcvMj\n","u7JawSRTN5N1TWFCRZBIPOlkYKkKVUEfrZ3xnDfeFMWZLOxdkyqoLQ/wYkML7bFkuldwZdDHWTPH\n","SY9NMSC6n2Nvrz/OK00h7rxo4YBeA/a6JPCcc87h//7f/8v//M//sHv3bgB+97vf8dRTTzFx4kQW\n","LVo0YIMbLl466PRiylcmtWxubZ9+KV5Bjly9hOKGxaKpVZ4BEDdDpqbUn36f1s4Eb6aCCIVK5foS\n","dLj63Jnc8YfXs2bXU1MZOw/+tTFv3yc3WKfkaY6+cVtj3qbjNng2JO/L72Ttijk0NHfwyEtNxJNO\n","M/iLz5iSvgj1Gs8HTpnIjhxBzVXvnsjml5ry9qKaUl3SVaaZse7UjKBdZm+wzOd4/a68Zmd0U4Zz\n","Pdb9exc3LDRVKdjD6kTtsLw0NjoBwClTpqR/3rt3LwcPHuS+++6judmJ+E+fLrO2jRVb9jdz48N/\n","51g4RplfpyLoo9SvE+7H7H9A6qRToSKop/9IsEoIIYQY2XLdLF40rYqXD4Z4szlCZdAHijMhl5uk\n","gA03PPQyxyNxMvuYt3QmURU4+aQKOkvMVNBIYeGU6vR6G7c28o3HX+VIOI5p2d3aq0B1qZ/nvvQ+\n","wDmn2bStkRcbjpNvQkPLdipV2mNJrl85j91NISzbTlesuJUqEqwSA8ErJjGkAaudO3fS2tqanjIe\n","4Ec/+hE/+tGPCIfDbNq0iXPOOWfABjgceAWB+sMryPHSwRABXSVumJgWaCoEdJWXD4Y8m3F79T26\n","/OzUbH6H2rFt572qgr50iVlfgw5e2TxefZ/ePBbxbI5e3xxBQaGxNUrCMPHrGgFNTX/ufW1Ino9X\n","5tqyubWen7sNeYOas2rL82YtHTiae7x2gd8H4Pm7qk99DrlmZ3TlesyGvN87L8XssAY7A+vCCy9M\n","/27ckkBd17ngggvSY1IUhV27dg3Ye4rhy/33cywcA9uZuKKzpROrD+lVasasqk6w3An61pT6iMSN\n","ojIQhRBCCDEyZN4snl9XlXcG9fXPHeA7f9ybc8Y9BefcIRRN8tdbVgJd58I3P7Kb5nA8XfoXTzVn\n","j6eqPFRFSd/gX//cAR54oYHjkTi27UwO46WlI8GcieVs3NZIW6cz2VIkZuDXVRJGYsCDCWLs6n5t\n","3BxJ0NKR4Pe7D7H0jme4+tyZef/t9EavA1Zf/vKX+bd/+zegqwHoL3/5S55//nl27drF+vXrR13A\n","yivg0B9emVuvNIWcpsCpfZJpQTRpsrspxIIpVXnHc/nZ09nR0MIbR8LpjK3qUj+XL5nOnqYQbRnl\n","f7YNbVFnNr9lc2rZuK2RUDSJZdtE4gY+TSVpJtM7tnwBB69sniuWOONp60xgAzHLTI9n49ZGGo8f\n","JW5YmJbTJN7QVWZPGAdAZdDH64fC6YNGLGmhAHMmlDGuPOD5O+lLcKRQ0GVWbTl/3nuUQ6EolgWq\n","CkFd4/Rp1bx5LIJfU4m7c8kqCv5UcO2ixVN44pVD6fKhmGGhKs7Me0/tOZxzLG8ei3iOxwbPsVYE\n","fU7mVsYMlCgwZ2I5tk3252qkPtfUzI3RhJmuhzctiCbM9MyN+RSa0fBEZGC5GZ/PPvss73vf+wbk\n","NcXI5f77KfXrznfatjH6UAqoKk5psIITpOpM7YcqS3QicaPovnJCCCGEGL7WP3eA+//3AC2dSRSg\n","IqhzLBzPOl/99827+O9UJUYhNk5v45aORNZrZ8nRlcWywadCMKBTGtC44w+vUyBG1WP9F9/squBx\n","uRNBPfv6kfTNeCH6IzNRpjni9Ft2HQnF+PYTewH6HbQquun6unXruPLKK5k5cyYf/vCHsx5TFIXK\n","ykrOOOMMDhw40K8BDUeLp1URiRu0xwxihkV7zCASNwqWSRXi1eA6EktmTZXq3tWPxJIFx9OZMEiY\n","Tp+ohGnTmTDAhrufeiPnONzlrzSFiMSM9IwS0YRJJGawuynk2Ti8ULAiYVoYqebohuUE57ChpkSn\n","I2FipEoBDcuZka866MRR32mL9qjPtoF3QlEWT6siHMv+DMIx5zPwGivkbw6XmZW070iYgy1Ofy13\n","O9zxpoaPaTlZG9UlOpVBH8c74nTEkpiWTUcsyfGOOFVBH0+/drTHgcay4enXjpLIcUfG+cxsz8+1\n","0GfeHk1mNVp0Z6BsjyY5nOdzPdQWJRxPYtHtewdE4t59zmbVljuNrFMRVjezzy03dYOhccOZBTFu\n","WISiyXQfr4F0/fXXA3D06FFuvPFGvvzlL9Pe3j7g7yOGN/ffSG15AIA8/9Q81ZT60BQl3UewNKAz\n","sSLA2bPGMaEiwJJZ47nz4oWSWi9GlJdffplzzz2XM888k/e85z3s3eucUP71r39l8eLFLFy4kA99\n","6EMcPZp79lshhBht1j93gNt//3o6oGQD7TEDTVXoTBhs2tbIv2/exabtB4sKVrnMVB/fb2W8djHi\n","pk1ViY+mls5eBatcXiPsTFpZ10VC9FXmBGFHw13BKr+u4tcVTMvmpy809Pt9is6wmj17Nj/4wQ+4\n","7rrr8j5HVdX0Beto4hVw6E/E0Ctzq6G5I/28zLeOJk3P8Tyys4lI3Mx6LBI3+cbvXiWaZwfrLk+Y\n","FpZt49e6N0i3PLN9vMoQ731mH20ZO2jLhrbOJPc+s4+3WjpzjudPe48BcCgUy/n4O20xHvzrWzmD\n","Lg9ufYsFU6rzpsBC/lK6iqCPvYfDPTKh5kx0gi6/z5MN9YdXDjN3YkV6PTPjytgGdr3dlnO9fMtd\n","Xt8P2ybvZw7Q1BbN+Zpvt0bpjOfu39PUGiWgd8WwM3vAxxJmznVc7nTAh9tj6Tr5zMwTNxiqKE4p\n","qmE62YOFMrd6a8WKFen//4d/+AdmzpzJe97zHq666io2b948oO8lhlahLEp3v1Rd4iOgqxgFvsO5\n","tMeSWFZXf8E5E8rTDVKFGIkaGxu55ZZbeOSRR5g0aRKJRALTNDEMg4997GM88sgjnH322XznO9/h\n","hhtu4Fe/+tVQD1kIIQbdXXlu6h9pjxPQFH6/+1CfZxcOx3p//gHg1xTC8b6tW0hbp5QGiv7L7Pn2\n","+92HACdY5cxsqaAqJi0diX6/T9EBq5tuuomrrrqKlStXcsYZZ2RNp2wYBolEgj179ozKhsY732r1\n","XF7owinf44unVfGHjB2gW5q1aGoVz752JOd7KsBLjbnH81Jja9665r1uY28Pfk1BVbs1SFcVfJri\n","2RPp1gtPdXpjvdOevrCrKnF6Y131sxdzvtfLB9swrNwBNDdCa+bZFtOyaWzNHZBpTGVFZc604f7/\n","7qY2Nm7LX0rn9uDKZKWykgDaOnLfGWntSNKQp3dWfXPEKcfLId9yl1cD9Pl1VXlLPwHiydwHuHjS\n","zJtpYtqgaSpK0kJJ9exxe/domncyZqEZDb2CoQOptbUVRVEIh8Ns3bqVjRs3Mnv2bH7xi18M6PuI\n","oVVMiWlmEDXRx+9ZusIX0DXVCaKPvnsyYgz5/ve/z6pVq7j88svp6Ojgqquu4jOf+QxbtmxhwoQJ\n","nH322QB8+tOfZsqUKViWldWzVAghRqOYR9ZUvC8p2gNg/7GOwk/qo0jcYHdT26C9vhg73InOlt7x\n","DEdCMZTUlallW1g2jCvzF3yNQnrVw6q2tpaf/OQnfO5zn2PHjh3p5f/4j//IBRdcwJEjR7j77rv7\n","PajhJpkncJK0bLbsb+aGh15O92g6cDTCjoYW7rlkUbrvU74Lq0d2NuXMEnpkZxOqpuSsa9Y0JW+m\n","VNK0815LWXZ2xkwmJfW3k5nkZDclDAu/zzlJXTi1mmPhOHsPh1EUBVWBSMLAjtvMmVjOnndCTmP1\n","jG0IpXpjJfMEZRKGExTJxU3SU9WuC8ZMmkre2THAKaezLBu/3j044l1m9+ax3EGnfI3RM4XyzDrW\n","HjPIm3RoQ0VAJ5wj46kiqPPSwRBlAT1nj7P5dVXpUku30b1bapl66XxviaqQM71YVeDUyZVsr29J\n","P26nvjfz6yq9Nh/wni3TKxg6GEpLSyktLeWtt95i0qRJg/IeYugU6jfn3iQAsCw7b/C7WDZgmFa6\n","LEDuSIqRasuWLcyePZs//OEPhMNhVqxYwdy5czl27BgzZ85MP6+6uhqfz8fRo0dz7kPj8TjxeDxr\n","mWkOTiaAEEKIgWXZTtBKiIFy9bkz+fYTe0mkJg6wbKcH7CffO7Pfr93r22ZLliyhpKSE9vb2dPnf\n","zTffzJVXXsldd93FBz7wgX4PaiS555l9NGdMY2ra0ByJc+8z+4DsC6uaUj+TKoPpi579eQIh+49G\n","SCbz9DbKs7wYpX4t9/KAs/yKJdOpLvXj11VqKwL4dTWdtZMOK9h29t/A957ZlzPwlmt55uNKnoiV\n","u1zPc1dXK3C316+pqIoTHDEsC9MiPdPGrNpy2qNJ3jrewb4jYd463uFMTTuhPOcMH0B6uV/P/b5+\n","XcXIk8GRNPMH5lDgupVzUbs9rqaWe/U4u/eZfbRHnaaQPs1pCN0eTaa/d15OPqki9/JJFaw6ZWKP\n","8SoKrHz3xIKv62XBlGrK/Bqlfg1NUSj1a5T5NRZOre7X63Z3ww03AKBpGl//+te56KKLWLRoEf/6\n","r/86oO8jhpZX4Dmzh10omqSls2fmZF/EDKvfM5EKMdSam5u58cYb8fv9jB8/nn/+53/mD3/4A5Zl\n","oWnZ5wi6rmPlyYS+4447qKqqyvqzffv2E7EJQggx4Lqfi48FscTAVjmIsW3tijn824fexaSqILqm\n","MqkqyL+d/y7WLu//LIF9yvP+85//TGVlJVOmTAGci4V/+Zd/YfXq1f0e0Ejz2iGnmbNPVdBVFV9q\n","j/dqarnXhZVXyZuZJy3HtG3KA7kDT+VBLasHUaaArlJR4sv5WGXQWe6WdS2ZNZ6KoJ7VULg9lmR8\n","WYDyoA9NVSgP+hhfFqA9msxbXx2Om3kzaHyaQmVJ7gS/qtRyrwCRlwVTqigP6k5wRHWCI+VBnYVT\n","q1g8rYrOhEk4ZpA0LcIxg86EWVQD/Vm1ZTmXz55Qhp6nZM5XoJRu7Yo5fPysaQR9KgoQ9Kl8/Oxp\n","rF0+x7ORufv98umq871LfSbu8vGpRtPd1ZYHuPiMKTmDZBcvnpKeubIyqBP0qVQGdSqCPl4+2L9e\n","U17B0IF09dVXU1dXB8CNN97Inj17eOGFF7jyyisH9H3E0Mr3b6Mq6OOaB/9GY0snzZEEoWjxDU6L\n","kTmRgBAj0cSJE6ms7MqYVRQFXdepq6ujqakpvbyzs5OOjg4mTJiQ83VuueUWQqFQ1h+3nFAIIUaa\n","2gEoWxpptEGqchBj19oVc/jrLSvZ+83z+estKwckWAV9DFi5/QyeeOKJARnEcFfiy/0xlWYuV7r9\n","neKV0ZMvUUhVs4MymS/pXujnUlPqZ2JF7kDFSZUB/JrTBE1PlWLpqoKWyjzKlFna5/4wq7YcG5tp\n","NSXMm1jBtJoSbOyCF281HmM9qSKYZ6zO8uo8AbbqUh81ZbkfG1fm44ol06kq8TnBkXInOOL21HLL\n","7CqCOj5dpSKoUxbQeflgiJrS3K/pvldVvoBfiY+qoHcwMBcFpxfP8/uPUx7QmVJTQnlA5/l9x9my\n","vzlr5oXWTmeq0MxG5kC3X1aXle/KfZHx/ndP8AxK1TdH8Gsq6TQrRcGvqemsknwzLBbiFQwdaJn7\n","pbq6urwXXGLkyvVvQ1UUdr8TylliOxBURen570+IEWbNmjV8//vfByAcDvPggw9y/vnnc8455/Dm\n","m2+yZ88eAH72s5+xatUqfL7cx7BAIEBlZWXWn+4ZWkIIMVJEC/SVHY2m1pQM9RCEKIp00izCRYun\n","5Fz+j2dM4dTJzp3KpGFhWFa6Z5Pb88croydfyZuuqiyc0pXxkxmLOG1qFccj8Z4rAc3hOB15LtYi\n","cYMFU6oIpoJsRqrMLehTWZjKLsospQnHDLbXH09Pe3rFkumoisIbR8K8fridN46EURWFy5dMzxvQ\n","K/GpzMyTlTRrQhmKAmV+LSvWV5ZRtphvWzriBuv+z5zusUEU4LPnzfEMjniV2Z2/IHevI3f5oVA0\n","53seaoty5sxxBHU1a1uCuspZs8blzXrz66pnyeiyubVcuXQ6Pk3lWDiOT1O5MtXI/BT3e2fZzvcu\n","la13aup71xo1KPNr6GqqYbTqfLZtnQb1zRFs2yaaMIknLaIJJ1PlzeYIlUEfxyJx2qNJYkmL9miS\n","Y5E4VUGf5/ejGMvm1vLDy8/gD9ev4IeXnyEzrYk+y/VvfFZtGdE+zARYrPfMqBm0IKsQJ8qNN95I\n","R0cHCxcuZNmyZaxdu5bzzjuPYDDIxo0bueqqqzjrrLN44oknWL9+/VAPVwghToh8rT1GM5lDRgyE\n","viYz9Eavmq6PVe7Ff9wwMS2n6XdAdy7+r185z2m6Hk1i2zaaplJd4uO6lfMAPBtn+3U150xxfl1l\n","7oQyttW39HhsTm0Z23MsB6fHSr4+TOGo0WPWOdOyiRtWuhxu47ZG2jqdqScjMQO/rpIwnGlPL18y\n","nUTq9d1Z6RKG0+R7xvgyXs8xC+HM2rL0DHvdhaJJKoM+OrvNZteZNKlMZTKF8zQyD0cN5tdVUVXq\n","S8/spypOptP8yc625GsA7k51b9t2ullzLGly+rRqWqMGPlXJarLvUxXaOp1xhONGzl5dkbjz2T7x\n","yqGshKeE6Xy2uw62cTDHrIa1FYGCvXjWP1+fbuh/PBJn/fP1zK+r4gb3e5d6TFOguizA9anvXX1z\n","BE1VUFKt9hUUNNWZ1dG2nWbwrqRlk4wZ1AHvtOWefbGpLVp0o+t8s2UKMZCWza1lzzsh/tbYyhOp\n","/dpgmVjh56Frzhm01xfiRNF1PW8gatWqVaxateoEj0gIIYZeiU9LT2qVb5KqkUAFig29vdU8eLMQ\n","irGhmFm7B4JkWBWhvjlCTZmfUyZXsWBKFadMrqKmzM+bzRGWza1l7fJZjC/zoyoK48v8rF0+K30X\n","3iujZ0p17lTMqTUlPLP3GArOTlNRSP//n1LLc1HS/8n9oFc5HMArTW1E4gbhmEHMcLLB3GlP73lm\n","H+2xZHpmN1VVaI85Tb69MqUaj3fmHE5jcyft0SS2nV3VZtukg1xqntpqTVPYuK0RXVU4dXIlC6dU\n","cerkSnRVYVNqZrB8vDLFdjQc7zEjZNKyebHhOADxPM0JYwmLp147mt72zL+ffu2oZ6aYV5+qe57Z\n","x7FwnITpzHCYMG2OhZ2G/svm1nLPJYv4wKmTmDuxnA+cOol7Ll2U/t65Qamk5QQYk5btzFgIHG2P\n","5RzP0fYYh0K5HzsUihXd6Lov2VdC9Nb65w7w7Sf2cjgUG9RgVXlA455LFw/a6wshhBBiaJUHfajK\n","yA1Wlfk1SnxaOqmgGPmSHIQollel0ECSDKsieGXleGXBLJtb67nugTyzBAK0diRSbYQUbOxUkMCm\n","pSOB36flLH0J+LTUhVvPHZCqKOngWWZfqdbORLo/UThmpGfTcnfYdmra09cOtacmBrQxLCeIZttO\n","k+9TJlfmzZRKmF13K9wXdbOPGltyB7PeSgW5SnSNeLJnkCjo0zyDJ0AR2T7uFqZ26zaEMrKO3O2D\n","rmwk2yMY6H4+mQEr9/NJGFbqIKhgYaOmfqcdcZMrlkznlaYQh9tjBH0asaSZ7pNz9c9fzJnRtevt\n","NiB/Fhl4B6Xy9fhxfv+5D16WbXt+lwtlXwkxkLbsb+bOJ15nsDP4x5X6+IGUrwohhBCj2oIpVYSi\n","SZKGSTRpjaigVVBXmVVbRkfC5O2WTowib+IVmsRKiEIKXY8PFPmmFsGr+fU9z+yjORLHDVKbNjRH\n","nCyYQus2tTk9kVTFCZC4kf23W6OU+TUs2wkUkPrbsp0I+oxxpTnHOWN8Kf6MPkouBWen5JXNA+Qs\n","TwSIJS0M09l5W6mAk/u3YVqemVL+VJaUu8x9jl9TnJJCd4wZg3aXB/25G7iW+DTPbdmyv5kbHnqZ\n","p189wv6jEZ5+9Qg3PPRyOohl2TYnn1TOuydVcvJJ5Vi2zaZtjVgZO/jMuI2bvVGSpxF+0KdipDKZ\n","3C2yUttsWjY1ZX5sG3QNgrqGrjmvP67M79lvK9/vw13uVTPsFZRSM6YIzPzcNVWhzJ87hl0W0D2/\n","yydqhyXE+ucOcPmGbYMWrNJSk15MrAhIsEoIIYQYA9wJmwzLzj43HsYT6bljixsWrx1qp6G5A8vO\n","Hn8+Ck5fZCH6o1BsYaBIwKoIXkEFN7PGtm0M08a27XRmTaF10+yMPykTK4NZD2curyzpSlsF0kGv\n","yqCPUyZXoihO8MGnOX2LFMVpxl1o1jktI5CR+Z6aqlDi6woeZe4HS/waTXn6Hr3dGmX6+NxN12eM\n","L8OXcRTIDBC5y/2p8WfNapj6f69tudcNIlrOFa1pWekgYn1zhIRhsfdwmFeaQuw9HCZhWLzZHKEi\n","kDtY4y4vD+pZ6cLu514e0LOCWZmfXdCncvW5M9FUhYRhkzBMEoaNpip88r0zgfzNyL1KPwuV4HkF\n","pTJnNMz83CuDPqbkmTFkSk2J53f5RO2wxNjmZFbtHZQ7nwpw4cLJnHxSBR845aSsElshhBBCjF7u\n","OW7Ap6VbsQAMYseBfnOTJezU/7t/FzPmqox+y0L0xZb9zRyPxAlFk7xxJMyhUDT3jPYDQEoCi5Sv\n","/MrNPHIv/N2/u882kZl95P4wpbqE1w+Hsx/DCQ4oQGVQJ5owMSwbXVUo8Ts70XAsybgyP0nTJp40\n","Cfg0fJrTU+rWC0/N24x72RxnZ7xpWyNvNkc4fWo1l6dmncscT3dTakrojJupxvLOMre3VnnAx5E8\n","5WcJw6KyxNejHlzBaZC+cGo1L9a39HjstGnVACyYUk1b57H0a/lTsxEunFqdnkHvpy80cCwcZ1yZ\n","Pz2D3jUP/g0An66ioGCrNgnD4tVD7UypLsnbcLwsoNPS2bNJfFkqYLVgSjXNqZ5SpuUEnfyakt6O\n","XHRVZe2KOQD89IUGWjoSjCvz88n3zmTt8jk513EFdK1HqaW7vFAJXlXQx9GkM5tk96DUmTPH8ee9\n","R4kbVno7AqkZDd88FqEq6KMzYaS/d6V+PX3gzvfvwKu0UYiBsGV/M1f/4sVB61e1ZPY4fnj5GYPy\n","2kIIIYQY/nRVycrg7usZx4johTXsByiGq8xm69UlfkLRJKFokjOm13D9qnkDfsNXAlb9lG9WiZJU\n","OZtbntbWmcTG5sDRDnY0tHDPJYuoyhPMqSrxMb4swLFwnOnjSrMCErMnlGPbcCwcZ1pNSY/H3Gbc\n","blBqdm15VlDKq+9R5ngy/64q8TG7tpxQaibEzNkOF06t4tCe3BlWlm0TjiUZX15ccE0Bqkv96Znu\n","3CBIZ8KgssSXFQTZsr+ZB7c2kjQtJlQEiCVNHtzayPy6jPTWzA1JyeztlPnQ0fZY3uaDbakm8Llm\n","WUwAi6ZW8be3WgEn48q2nWCeZXdlra1dMScduOouX7+t6eNLcwYQp9eWFizB8wpKXX72dHY0tJA0\n","EyiaM49gWcD5XDdubeRYOM67xlX0+G55ce9M5QuGCtEX7r+NV5pCHGzpHLRzq4Cuyp1GIYQQYoxy\n","r9dac9y47ovhHgsKRZPpSZyE6K3uiRMnVQY43B6jtjwwKNd+ErDqp/KgL2/mEZAuT1NwyrQyy9Pa\n","Y0lqywMkTIu4YRLQNfyaSns0yfXvn8eOhhbeOBLOCuZcvmQ62Hhms3gFpby0x5JUZmTX+FLZNe54\n","8gWPntxzOO9rzqot9wyurV0+Kzvz6NyZWcG1fEGQdZt25s0wOmVyJS/WtxDL7JGFUxb5cmNbVgN0\n","LaMBul9XURVSfcCc5Zl9tl46GCKgqz2CQC8fDOHXlHSwys2iUxWyyh5zKTag2T2AOL4swF/2HaM9\n","mnSyz1IliaenstOuWJI/KNV1FO3ZeN5d742jkXRz9eoSX/q75dXMvq/fOyFyybx7E+pMDloZYIlf\n","4wsfGPi7QUIIIYQYGdyexGNF5iROQvTWie5dLAGrflowpYrjkXiPIMbCVCM7t5dVrvK05fMm0NTq\n","lLyR6oMVN7r6/iQMi6Rpp0MKCcMCG89yOPAOKng9VhH0EY6HURQFXVOwbAjHk1SWVHgGj8aXBzgS\n","6lkWWFse6AqA5Ai8eWVJZQY+cpVT1qf+QRxsiaaDfT5d4c3mCBctnsKOhpasUjhFgVXvnshbxzs5\n","Eorh00FVNCzbImE4DdCnjyvlxYYWkoaFqirpJuzz6yoBeKWpLR0Ecz+fmGGxu6mNSVUlHGzNzjSz\n","gcnVJZ6fe18DmqvePTEr2ytuWGiqwqKMBooJ08KwnGb9quL8jE1W4/nuwb50CV/3Glc7O4AQ9Gls\n","rz/OK00h7rxooQSqxIBz796UB3SaI4kBf/2JFX7OmjleMgGFEEKIMe611PXaWJJvcichCplVW+6Z\n","ODHQJGBVpHwBh1xlYnHDygocADnL0xZPq+KJVw6lm+PFDAtVcUrM7kkFLFTVydyxbCcDyp190Ksc\n","Ll9QAcibzbNsbq0zvNSMhG7npMz8oHwZNFefO5M7/vB6VpM/VSHdVLzrlbKzeQr1YfLKPqoI+pxy\n","uVRGU9ywQIE5E8t5+rWjWRlvbo+xp187ytXnzuTbT+wlYdioyv/f3pnHSVGde/9XW2/TszHDDgMj\n","IMgMyqaDuEQlbhHujTEJLkQTE2I0RpQYA2/cEmOMURNNVK6CMTeRJN4kmngxxgVRckVBRJRFEZBh\n","cBiY6dl7r+W8f1RXTXdPVXVPz9YDz/fzaXFOVZ06p7r61KnnPM/vUc2wvWvPnIiq0cW4Ye02tEdl\n","qKqeZaPY0yVKGFcZNI3BJXLgOT5h7GKQVaZ71iGR7TFh7DIuh1M/cjVovn+oHQVusVuI5vZD7QB0\n","z76OiAwOupeXpjF0JNx/O6KyrVX8mc11iMoqPJJgDkBRWcXazXVg0F2INcYQjCmQBB6yKpvfVyac\n","jKUEkY5hlD7cZq2R1xuuqhmPey89uc/rJQiCIAhiaJK80H08kMcJEIk8J93+YeU40ZeQwSoLugwO\n","utbS/sagaXDIZDg4aXSRHpqlMfAcM40608cU4dWPGgF0M+XgtY8aTUu/xHOmMSeuMuxu6MAzm+ts\n","DQdORoVAMGbrzTN/cjka2iPgOHTzTGqwyQJoUDWmGEVeCR0R2fTmKfJKqBpd7OjNk8md0NH7KCkM\n","E+jyvuqIyPisVe+HOy20b3dDB5697nQA1gLom/YF4BJ5SDwPBgYOnG4xTpzHJfDgOV2MUeM0MAbw\n","HAdJ4NERlVFW0OUN5XOJpjeUUz9SOtADg+Zz79ej0COi1Ocy928Nx81rl8kQZmcV3/FZG4Ixpds5\n","d9S3AeAQjCp69hQOUFQVjAE76tsd7w+AvLOI7Eg2araG5cSY27dTqlnji8lYRRAEQRCEiV3iqWMZ\n","d1IGeILoCXb2j9c+asT7h9r73DmBDFZZYMQ1c5zu7aQypIRtORkObl4wxTZrn5HNzi3ySUYpzTQ2\n","AOiyYiW9s+2sb3c0HNhtaw3rYTVWRgwA6Ix2GSoM24nGgGBMz6pn5yHzzOY6iDyH6aOLLI1SgHXo\n","XiZ3Qieji9FGjkuy9TDgs0RYHmN6CKUhgJ5s3LITQHcyrs2fXJ4S/qmoevinR9LDPxmDrTfUxk+a\n","bPvhpLfl5ClWWe7HlgPNps4UYwxRWe3uimljCLOzim/aH+iWDte4B1yiAI2xhF5XsodZZpfiTN50\n","BJFu1NQzpAJ9LV26/VA7Vm/cb5sEgSAIgiCI4wurRFjHOuV+V+adCMKCA4FgN/tHQ3sE2+paUeyV\n","+tw5ge9tg48HPmro0MW0GYOiMjDGwJhuUKks96MlGMNHDR3YWd+Ojxo60BKMmTpURta+86ePwuQR\n","fpw/fRQevnxmqmaKhVFq+ugiMAZEZQ0RWUVU1o0vVWOKEFc1aIxB4AGR5yHwehifrGqO24AuQ05U\n","Vk2DjoFdLHNU1syXyS0HmtEZVbDlQDNWPLcDm/YFUoxSe4924lCLbjT6NBBEoUdCSyiOYFyByhiC\n","cQUtoTiKvBJmjS9GOK6iM6pAVjV0RhWE46p1OGXyv+mklY8t8ZrGtuR/x5Z26UndsHYbLn5kI25Y\n","uw2b9gUAwLEfgG7oMbTK0sM/s+qLRT/OP2kEuDQHEkNva3dDBzgO8Eg8PJIAj8SD4/T7bklNBXwu\n","EUc6omgNx3GkI5oivH+Scf8oifsn8V1PH1NkWsULPSIkkUehR0SBW8T2Q+0Ix1RYEYqpuqEqke5X\n","0TSomu4xlklY3ri2AynORww9kjWrOiMKorL1vdhbGICfv/Sx+bsnCIIgCOL4xkg8dTxhOCQQRE+p\n","LPejIyLjYHMIe4924mBzCG3hODiOw6giD0p9Lowq8iAcV7B2c12vz0ceVlmgqJrp3YKkfxVVQ6lX\n","RFjuMvQoGoOiMZR4Ui+tlXD49NFFtiLfC6aNwLsWwuELpo3AH945aBoOzNC0JMOB3TbD3TW9H4Yh\n","R+A5U4uJcQCfMPQIPOfoIVPokbDnSKfpgRaMK2Axhkkj/Ekd7+7q1JtwyvawbN8XG8MWB+fQNMd+\n","ZGgvA2y3OfXj/UPt8EqCZebBlJsnbdnHSQQf0A1hdsLzTuGEarp7VQJVY6geW4K2sO4tFlc0uCTd\n","3j1jXIn1BU8ia48w4rjD8Nxc/9FRMMYSWm96aHF/oTKQdx9BDBE27QvgkfV78WF9O+KymvBW1zP9\n","qrp8JUSeg98rQuI5KCpDRNGgacxcXLGC5/TjFI2B5zhMHuHHnQunA9AN6Dvr2xFXNUTjKiKKCkXV\n","IAo8vKIAj0uAS+AwutiL9oiM+oR0wkmji3D+SSPw/qH2hDe8jIisggPgdgkodEuoHluMUq+I9Xua\n","0BqKwyXwUDTNXDQscAkoLXCjeqy+GGYVXuGkCbl6436semM/2iKy2a/LZo/NKkwjk9Zkrkl9svmO\n","H16/15TDmD66CMsWTHE8vrfnI01NIhkj8dRAkpJdfIDPC+iL0QSRC1bROgxAsat/nBPIYJUFXklA\n","JGGUSrYbeF0C1u9p6nKMStr4+h79xd5J/2rZgim2It/PvKMbgqwMIE6GA8Zguy3QGUvRyzL+Lfbq\n","KwqGYYXjOAgJoXcwhuljihw9ZMwVCQujVEdURqFbQjiuQFEZRJ6DzyWiIyKjI5J7OOUjr+217cvu\n","w9aZPj5rjTga3szv0SqOELqXkCRwkBX9hBx0Q6DRXru+3HHJdCz9/VaE4qopZl/gErBswRSs+NuH\n","iMiqacRSNAZNVrGjvs0xXBCwF8EHdOOa3f3jFIp5MBCGonV/gLkE3sz4aHwfUVk1Mz5mYkkiK+Su\n","wx0p31U2xxLHLskGZJ7jEEnc6xLP2RpP+wry7iOI/MeYQzV1xlJe6rSk5zMDIGsMrSG5R3VrTE+m\n","YtT38ZFOLP3DVhS4RMQUDcGo7hmejKppiMkaEJHBc0BdwhPbkCh4t7YFW2tbEvNGNSXEPixraA/J\n","aOyIms91Dt292ztjKoKxMJqDMbyy6wh8LgFFXslcYPvavAr84Z06y4W3XYfbU5LgGP362T8/RqFH\n","TKknPUwjk9ak03bAPuFPJkOQ8R0HgjGz7N3aFtz87HYzKZDVMb05H2lqEun0do3MOD7bmUuJV8IZ\n","k8uxo74dkbiKllAMapYHZxu6aLWfyHMQeCCuMAwroJBAIjfeP9QOt8inOFwwxhCK615XfZ05kEIC\n","s8Cf5CKa/MP3uyW0huLgOeghW6IAjySA54CWkK4XZehfGYNQsv5Vt0qT/jViQyeUFWDKiEJMKCtA\n","oUfEp4EgltRUgOc4dEYVRBU9/IznOFxVU4ElNRVQNYaOxLaOqAJVY7iqpgIdURk+SUgx8PgkAR0R\n","fZJ384IpKPJI0DQ9852mMRR5JCxbMAWV5X5EZRUsMXkzPGROGO43Bcf9HgkCz8HvkVBW4E4YpCR0\n","RGXIiax5ssZ0t1uv5FgnoBtkzj9pBPjEiinPczj/pBGYP6ncsS+KzXKqomqOhjenfgD66ktzMI72\n","qIyooqE9KqM5GM/Yl12H2xGOpxqBwnEVu+rb0ZkkcG5gaEY5hQsC9qGNgH7/MMYQiauIyRoicb1t\n","nwaCmDW+GMGYknKPBGMKZo4rRkWZz/LaVZQnl6fFsGbx1Nx1uB0dUTnlVu+IytiVhWA7ceySbEAe\n","Vewxy2WNdftdZEu2nlnGOEMQRP7yzOY60+tyIAjFVDR1xtARkbsZq9JJHqNM+QGm/xuKq5ZjmAak\n","LEI5KR2E4ioUjSEUUxDojCEcV3G4LYL7/7UHR9ojEHgOnREFnVEFDW0R3Pinbfh5Wsbm5PqCMV2S\n","IRRTUN8Wxvf/8kHKvCF5PLYK57Da3h6RceMft+Hq325BXUsY4bgKRdXlEqzOYYX+HeuhJC6BN5Pd\n","NHXGcPVvt2DG3S9j8RNv96itmc5nhJ93RBV0RmUc6YimzsvzFKd5H9E7jHeAnsABKEh6F+kJbREZ\n","Gz9pQksohpZwdsYqLmnanc1Ux6pKRWOIKbqTRGo2d4LInp31bbrcDABR4MxnoKLB8v2yt5DBKgt8\n","LussCj63gNICF1QGxBQVUVlFTFGhMphW6+RsfyLPQ0q8Te1u6MDD6/eiPZL6Et+eyCpXWe5HU0cU\n","O+vbsaNedy1v6oiaBhCr43bVt+PFDw8jlGYcCcVVvPjBYTAGhBLu9MZxyX8DALiuAZEz4wNhGsk+\n","OdqJj4904JOjnaaRrLLcj1BMRiimICZrCMUUhGKybsyKdJ9oGu1dUlMBRWXYdbgDO+rbsetwBxSV\n","mV43qzfux5/ePaTrd0HX0vrTu4eweuN+x754krJeJA/oXpfgaFhy6geAjH2JxFXsTPRl5+EOROIq\n","rqqpwONv7rc8btWb+xGLp3pPGUTjmhkuKPJGyIPu7bf9ULu5Ivna7iPY1xjEa7uP4OZnt5uTF8b0\n","ASPVUKiAAXg1SczdbA/TxdwN0cnk9hjeUMmi9NNGFeHEkX5ojJkTRKeJ1FNv1YIxwC1y8EoC3CIH\n","xvRsjcTxi2FADiVexHrLjy6ZhqmjCrMyWpF3H0HkPwcCQaha5sQefQlDfgkvqwyIq5puDErITsgq\n","w9GOGDpjsv63xtASkh1fejWmL5ZFZA1MAxo7o6YWKZBZazJ9eyiuojMqoyWstwHQ6z/SEUUopgCs\n","+zmsOBAImmHgHMdBY7phjwGmwc7wuMq2rU4cCATBgcPhtijCiUVDRdWwra41rw1ATlqyRO8x3gF6\n","Qvp7lNXPz2k+0hlTEIyptmHL3c6XZiTvDUY2d4LIhXjCsUVMaGYn1hkAdJfmfu2jxl6fjwxWWdDY\n","ETX/n0srXzB1OIBUgW8AOG/a8NRKLITVd3zWZmnI+PCzNsRkBTGVpQyCMZUhGlccDSB/fb++65RJ\n","5/rb+/WO/QCgZz2MyOAASIKuZ9WRMKDZdoTB1PFSEsYRRWMIyxpKPCIONodgxcFAyNHwBgCPv7E/\n","JWshoF/fVW/sd+xLoafL6JL84/G7JUexcqd+AHDsi5OhsD3c9QBM/k7awjKExHXmE8ZBntPbKggc\n","dta3IyprADiIgr5DVNawo74dD6/fi6ZgDLLKzE9TkudefWvYsq31rWHsTLrvkq/Tjs/aTNFJw7Aq\n","8RyKPBI6IrLjBDHTRMrwROQ5fcjhOT7FE5E4/ti0L4DWsIzDbRHUBkK2SR+ypdAjomp0MSrL/fBm\n","SNVc4pNSE18QBJGXVJb788p4NFike00l/8kyeIJZ1gdd1qA9IpuLTk4LesZ43dAeQW1zCMGYgkAw\n","5ugJy3EcClxiRs+nynI/OBgeaizFS97wXNEY0NgZw41/1BfDMnnoW2Esqn3WGkEgGEtoknEQOA4c\n","p8/FnNo52N5NvfEqIzKTrkncV/SzuoElWeRCgqYxuneInHEJPHhO18yOqyriSteNLvKGc4L+zre7\n","wVqqpyeQwSoLQnEVPKeLfCLxL8/pruP7mkLd3DI5APsadePG9NG63pCsaFA0DXLipaxqTJHtC1pM\n","0fB/+5stt721v9nRABI3tLa41O0xWXPsB9B1Q0kir3uDJd1oz2yuQ1RW4ZF4CBwHj8QjKqtYu7kO\n","/9x1xLKtL+06AjlpuS+5rbLKHA1vgG68AhJGFa7LuNIWkR37khxalMzoEg/mTy7H1+ZVQBJ4NHXG\n","IAk8vpYQK3fqh9Fmu744GQp5w8BjbE/8y3Mcpo8uQqILEA3Rey5zNsidn7WlCDUy6CsvOz5rA4Bu\n","xjODUEw1NTuM4wziKss5hDPTRKq0wKWvmjL9/tSYBi3JE5E4vjAMnJ0R2TT29wbdGMphxXM7MGt8\n","Mcr8bhTYeMYWuAScQTolBDEkWEKekI5oLPcXYo0xBKMKdiQWCe0W9GaOK9Y1n2IKAA7BqIK65jCC\n","UfsMYxrTx+Qyvzuj59OSmgqU+Fym5mZ6qGWyPa4lLOPmZ7dj1vhix0zJ6SQvqnlEQTeCAZBVfZFS\n","4DgUeSXbduaDdxNlW+5fDE3i3mpZ5QPZhBeG4rpeLkHkQvXYYvg9IlwCh3QnaEVjug5tH/6YyGCV\n","BcbLNoP+ZsXAzJft3Q0d4DjAI/HwSgI8Eg+O6zL+LFswBeV+NwRBv9SCwKPc78ZNC6bYfo8ckGJ4\n","Mj6AbnhyMoAYIuvp2fPcEu/YjxQsfFt31rchGFNSdLOCMQU76tscDWiG4Fp6fS6RTzkumbZEudHP\n","9ObwHIfSAhcYA0QB8IgCREHv67ACl23oXkdExqZ9Aaz+9wE0B+PQGENzMI7V/z6ATfsCjv0w2mzX\n","FydD4eRElkFj4mUcOmWk3/H+cAmcmfHRyHRkZHx0MnYmXzvDAJZ8jwg2/skCz2UMe7SbIGaaSH3z\n","jIkQeA5xhSGu6JZ4gecofv44xdAsicq9z1Aj8hwmlBVgfKkX4biC7Yd08dxzpo5AxTAffJKAIo+I\n","caVelPtdKPO7KRyQIAYZw1tl5o9fQeWKFzFxxYuoXPEiTv3pqzjr/tfNsivXbB4UD4WhAs+lzld6\n","giRw5iIY0JV9uKayDIUeETWVZfj5ZTPw/qF2hOMKKob5UDHMh0KPCAbmuNDAQc/aXOASMno+zZ9c\n","jocXz8SpE4ehwC2ai3d2tEVkc5xPb6ud52y6XqI3aa5c4BYxpkRf6LRrZz54N+XiVUZkjxEJIAnH\n","x6uxmggtJohcWFJTgWKvBEXT9dD4pHdNBn0xINlJp7ccH7/KXpJV2J9NALPxID7/pJGYPMKP808a\n","iYcvn4n5k8rhFq09ANyikGJ4Mj6AbnhyMoB8edbYriYlteWy2WMz9uOk0UVgTBcEjciqLqbG9Kx0\n","wahiHpfsoh1MCL4D1ga0GWOLLT3QTh7XvTx5OwCzn+l9mTLSj2+eMREcB8QUhoispggI1rdFzDC7\n","5B/RZ60RPGKI4CfMwaqmmSL4Tv0A4NgXp+/rzoXTUeKTzDh2ntNDku5YOB3zJ5dj6VmVKCtw6auR\n","BS4sPasS8yeVo3psCQpcAnwuAQLHwecSUOAS9GyQNtfOKHe6R3xuG88Tt2Cm5k6nvjViO5mdP6k8\n","40Rq6dmT8MOLpmJUsQeiwGNUsQc/vHgqlp41yaYnxLHM1tpmPSFEL+dKPAeMH+aD3y2mGEnnTy7H\n","Y1fNxsbbzsWaa+birCnDs3qpIQii/zG8VV7/6Cja0mQBmoJxHGqNUBhglvjdIvgcl7GTF8EMjLHz\n","pWVn47GrZmP+pPKUBSm/W0SZ3w1nk5I+95JVLaPnU/J5n73udOy4+0L8/trTMLzQWvxa4GEmkLFq\n","qx3pi2qjir2JUEA9nDwYUxzbmQ/eTU6LhkTvMTSJ49kKSh0D9Hc2ZuLYxXgndEuCmahsZJEHIt/l\n","bJLshNFbyGCVBa0RBQWuVPHrApeAtrCCk0YXQUsz8mgJI4/BrsPteK+uFZ82hfBeXaup0VQ9rjjF\n","ImkYWWaML8aZk8os23LGpDJcNntsNxE/ngO+NGssLjl5DPxpBgm/W8AlM8Y49gOAY1a6iI1HT1TJ\n","7EFU7JXAcQljF6cLeN+0YEqqx1ISRrlTP6vGFKPIm2oE6iYgyJI+CXY3dEBjurusrDKoCXf63Q0d\n","jv0A4NgXp+9r/uRyfPecSRhZ5IFb5DGyyIPvnjMJ8yfpaaL/8E4dZFXD8EI3ZFXDH96pw6Z9ASyp\n","qYBH0lcn1YQByCMJWU1OnK5doVu0NLz53aJjhkXAejILOIvyGyw9exLeXrkAe356Md5euYCMVccp\n","qzfuR1Nn77XLhhVI8LtFM/TPbrW5Jy81BEH0P4a3SrSXunXHMxyAimFeFLhFaDloWAH6XMsj8pBV\n","ZqvLlKxddTBFu4qZLybpCBwwssiT8yKBsdA7rKArQzcH3SMMTDcW9dSryGpRTZ9/6zpek4b7HduZ\n","D95NTouGRO8xFvWPJ+wiLggiG+ZPLsdZU4aj2CthfKkXwwvdGFfqhUvkUegRU5x0eovYB+095jkQ\n","CMLrEiDyPGKKCrcoQBI5fBoIYvb4Emw50NLtmMnlBQD0l7P7/7UHqqY/HI+2R3H/v/YAAG5eMAU3\n","rN1majUBQJFHwrIFU/DMO3XwiHzKhM4j8fBIopk9LqZoUDU9tMot8th+qB3vH2oHz3Eo8oiIK5pp\n","/Fm7uQ4HAkGUFrhQ6usKAWwNx80VIqd6kycmyVMjgedw58LpWPqHraYWFqB769yxcDrA9EmRxPNg\n","YODAmSmLM3lYvX+oHYUeydQ1cAk8OI4z+ynyhgYUB8YYjnREsXZzHcaWePHxkc5uTm9jS7040Gi9\n","GhaXVVw2eyzuS0sJbRh5DOz64pZESAKX4l7rEjh4JLGbUSoqq/jDO3WoGlOMZzbXIdAZRVxlULU4\n","BJ5DOKa7mV9VU4GOqJyiOdURlQGmh0GGLcKpPAmvPadrN6rYi0OtEXBJHnPggNElXgSjCiJGeGPS\n","tfPa6AF1xziKS734BJHgqbdqe31bXFUzHpfMGIMVz+3AkY6oadil1WaCyH8MbxUidzgO6IgoGcfS\n","5Od4enkkroLj9HmcwHPYcqAZO+v1ULv5k8tNT7hIXAUYh86oglBcN9rwPIdyv1sXL0+aNPEcUOZ3\n","46GvntKrl5T5k8vx6BWzcfOz2xEIxgB0eYOUeKUej/NLaiqws74dRxIJe4yEL2UFbjAwNLRHHecr\n","yccP5vNm/uRyzCcNxn6hNaJ0e+861iEPK6K3WI2No4o8fW5MHxAPq2AwiKVLl4LjOCiK7s0TCoWw\n","ePFiVFVVoaqqCuvWrTP3f+GFF8zyyy+/HOFwOOdj+oJCj4TmYBztURlRRUN7VEZzMI4ir5Qi0mdo\n","BXEAXt/TBEB/OVM1BpfIwSUKcIkcVI3ht2/VAkgYQAQeksBBEnjTAHIgEITfI6LYI8Ej8ij26N4E\n","nwaC2FnfpofrARAFDgy6p9OO+jbsrG9DKK4iFNe9coz/31HfhspyPzoiMg42h7D3aCcONofQEZHN\n","FSLj2OQsecaxY0u8ltdmbKleXuAS4Ur0wyXwKHCJANNXUjXGcOJIP6aNKsKJI/3QmJ6ZQhD4rtC9\n","pH8NPacDgWAiW2FiVQ266/qngSAOBIKIKxr2HOnEzvp27DnSibii4dNAEMVeybKtxV4Jdo8hDV1G\n","niKPCI/Eo8gjotAjYfsh3SPOSXh+Z307VJWleMspKsOO+nZTryeuaAh0xhBXNLSF41i7uQ5ba5st\n","MxO+W9uMH/7tw0SWwC6isoYf/u1DR+8849oVekRMKCvAlBGFmFBWgEKPfv9wQELDTIeZ/wH8DhkW\n","nXD6ng0GO8OOE0N9jBpKNHfGenU8B6AtrNBqM0EMUQxvlWMNDtll50onXbOp0C2keBelYyScCccV\n","aMxeS0oSOPg9IrySPjfjOZjSAq6Eqz3PARXDfJa6TIYn3PhSLyrKdO0qgMEl8ihwCSj3uzB+mA++\n","hCSCyHM4deKwPltRT9e2KnCLOLUyt/qTnxcxRYPI86gY5sOoYk9WelT0vHEmHo/j9ttvx8yZM3Ha\n","aafhwgsvRGNj45CaR+2sbzuuwgEB8rAiek96MjNNY/C5BNyzbnefvusNiIfVAw88gIsuughr1qwx\n","y37yk5+gvLwcu3btwqeffor58+dj9+7d0DQNS5cuxTvvvIPKykrccMMN+OlPf4qf/exnOR3TFzgJ\n","URsifa4kPaq4opqrN8Z2ntMf6DzHg+f07ckv+eleQoUeCXuOdIJLZL8LxhWwGMOkEX60hmVoCSMY\n","z/HQmIa4oovnMcB226zxxXhpR4PZl6iigQMwc5xu5Gi0eZFs6oxhQpn9reLUjwMJ761DLZFu3mnT\n","Rxdhy4EW06OJJbyuDHE2p2vQHpbRkZShRtYY5KiCMQAa2iPgua6wPsOY2GCjz2RgGMhkBd0MZECX\n","QU//Hrsy8e2ob0NnTEkxhhmRiMGY7Hhcq43wfGtYhqxah00dao3g/stOxs3PbkdbOG72scTnwrJE\n","nHBluR//t7cJHRE5xdPulPEl2PFZmx76aXF9RhV7cail+wRgdIl15sXka+ek72Cs1IbjCjyS0G0l\n","d7AZ6mPUUGHTvgCUHMNXDMSk3yStNhPE0MNYkeUQP6accN0CD4UxcA5GJCsUjaUYrKKKhrCsWnpH\n","cdDnNnJiHJVV+0x9ispw1vThWFJTgXte3I361ggiiUVJw0imMeCjhg5TT1DkYWYOS3+ug+PAJz4e\n","STBX1H1uEeWFYjcDzuqN+/HUW7VoDcVRWuDCN8+YiKVn90wKIHmM37QvgIfX78V1f3gPgJ6Fe9mC\n","KVk/A4y6Ln5kIzqjCgo9EoIxBc2hOCJxBRv3NmHTvoBtfX3xvNm0L4BnEnPjynI/ltRUHBPPsIaG\n","BowcORLbtm0Dz/P4wQ9+gF/96lfQNG3IzKM6Y8pxl+CBPKyI3pIcRVTkkdAciqEtImNYgQtNnbE+\n","e9cbEA+rH//4x7jssstSyp5//nlcd911AIATTjgBp59+Ol555RW88sorOOOMM1BZWQkAuO666/Dc\n","c8/lfIwVsVgMHR0dKR9VtV/tcxKiNkT6IrJqflTWlXnPaXuyMWfv0U4catHPY3rBAN3T/QF6eBeA\n","eEJwPK6wRHw/77jtb9vqLQ1vf9tWDwDdvHkMIrKGumbrVYy6QNixH07eaZ8/aYRlnQum6eXGxMzI\n","ZKFqzLwMjQm37nQaO/TwOkMg3uijltCsckvWt7xH4lHokdASiiMYV6AyhmBcQUtIbyuARNgeA2MM\n","iqr/a7QtFre+f6Jx1fE4xUZ12q7cwBRr97vN1NGGWDsAzBpfjGBMQUciq2NHIqvjzHHF5vUxPQK5\n","ruvjlGHRiUz6DvmQYceJoT5G5TPJnnXf/O930Ut7FTjYZ3IiCCL/MbxVRhV7jokU8gZRtctbuiek\n","G6b0+Y51hFqaLKdzpj4O2HKgGSue24FgVJ8PyIn2yZo+DzA0PQ0UDWhoi2LTvoD5XO+MyqhvjSAU\n","laFqzNS0nDTcb+ttZMhhHG2PQlE1Uw5j9cb9Pbw6Opv2BXDzs9uxtbYFoZiCUEzBu7UtuPnZ7T1e\n","wbfrV0xWseK5Hf3m/W0s3G050IzOqGJ+N/nkbZ4rEyZMwPe+9z3wvD7HLisrgyzLgzqP6imx+PHl\n","XQXoGcgJojckv9/FVC3xXqlL5PTlu96gaVgdPHgQEydONP+eMGECamtrwRizLM/1GCvuu+8+/PjH\n","P04pmzdvnu3+TkLUVaMLcaS9u/Fk+uhCAMDoIrfl9lFFbkiiYOtB1BGRUeiWEI4rUFR9NcznEtER\n","kTGq2IPPWsOpMxVO94JhDLbb3qtt7Sriumxg+2x0nZIx3GQNvSPDOyeuahk9oey80179qNHS0+e1\n","jxqx9OxJaGiP2HoCdUatVxU7IwoKrJPL6HoNzF45yzCQaYxBNUu70BIrEckeYYBuULObNBoeb3bH\n","JX8PKa2xKTfYtC+A1f8+YHpYNQdjWP3vA6gaU4z5k8vx6keNZvuTFKXw2keNju0xMiyawvKJ7Z+1\n","OnunLampwNbaFnxytDPF48vQd8iHDDs9ZSiNUflKsmddcyjea2MVkHpfEQQxNJk/uRwPfeUUrHhu\n","B9ojMoJRfaHouMROaKqXaAxoC+vXtie6PIqmh/MbnnCH26NQNA0cx0HkOIwp8aA1LKOuJYwSn4RA\n","MIaHX9uLFX/bkdDM5HC0U9e2cqd5+//2rdqsvawMb6Sd9W042hlDLLGoKvEcBIGDrGhoi8hYu7mu\n","R6v36f0CjGQ7enTAI+v39qnXk9GPf+9tQkxWMabEa2qMGtEIx4KXlUFdXR3WrFmD1157Db/5zW8G\n","bR4Vi8UQi6VGjjgt/AkCB04+vqRXo8ehkY7oW5Lf7+KKCnD6e29HRMYhBjOqqrcMWpZATdMgCF1h\n","dKIoQtM02/Jcj7Fi5cqVaG9vT/mcdtpptvt7bcRBvS4B2+raLLe9nyjffaTTcvtHRzodPYgKPRI6\n","YzI06CEwGoDOmIwir2Qel+xBZBxnuHinexcBSMkkkzwvNMoFm7tB5HUB8eRzGYe7hC638uR+GOd0\n","8k77KJGxL72tuxs6AMDRU4q3EYoQBA6huLUxKxRXbHUzonEVDe3WbTVCCXm7jDg853iPyDb3oqJp\n","tll2JIHDCL/LctuIQhceXr8XgWDMXBlVGRAIxvDI+r0AdBd/AHCLPLySAHciJHB3Q4djP1KweGqv\n","3rgf8+5bj6m3v4R59623WC3lUv9N1JFJPy0fGUpjVL5iJBUIBPvGWDVtVGGf6aMQBDG4GJ5WZ04u\n","x9hSL0YXe1DilfRscNCfIi6Bw7RRhZCOYa2V/rTTKRrrsYg0g+4hb6YtF3k9bblbxNhSLziOQzCq\n","oLEzikBnHO/WtmBrbQs+awnjaHsU9W1R07jEEouEuhxGl9h5JozFjv/b25RSn9EnTdPnZIyxHr8M\n","JfdLl7EwFmM5KKqGbXWtfeb1lOxVFZX1cMzDbVEEY8qQWLjrKe3t7bjsssvw+OOPY+LEiYM6j7rv\n","vvtQXFyc8tmyZYvt/tNHF9luO1YRchHdI4gE6VlkdZtG1+tjeqRSbxg0D6sxY8agvr4eJ554IgCg\n","vr4e1dXVYIxh165d5n719fUYM2ZMzsdY4Xa74XanuuEkD4Lp2IX4ahrQZhMq1ZLQJorZhNlFZc3R\n","QDK62KufN8nbx9zucJydQeZAUxBukTczwCVjGDOG+VxoCnafTAwrcGFYgRsfWxjfKsoLzJBAq3PG\n","bNpjV568LWoTZheJq/CKguW19UgC2m10oRSVQbQbnDk9ft3KGywY0w1gms2NoGoMoo21T+R5BG28\n","waJxzTZ+XFEZhvndaLT6Pvxu09iXfn8Yxj5Av2+tJqpO/TAzLKZ5X40t9WL1xv0pWRSPtEdx30sf\n","A9AF6+10zOZPLses8cV4ZdcRM1tmTNEg8Jypn5aPDKUxKl8xkgrkCgeA5wG3KOCW86dg6Vk90z8h\n","CCK/yVYXaN596y291Yku+spRKzns2khbvuVAM0YVeRCKq6hrCemLZQxoCqZ6sLhFDslBCYqmQeAF\n","aEyDliSXYcWmfQE8sn4vdjd06JkJweBKzK2S+8YS9RpJenJZ+Jo/uRzTRxfh3dqWFC90jtMXYXPx\n","erLSp0oOl4mrTA8/ZAwtoTgKXHpGrVPGl/S4/flIMBjEwoULceutt+KCCy4AMLjzqJUrV2L58uUp\n","ZXfccYft/p8/aYR+PxxHLlbjSq0TahFEJpKzyDINKbrSgD5Oq2n6jL1h0DysFi1ahKeffhqAPuhs\n","2LABF1xwAS644AJs2LABDQ0NAIA1a9Zg0aJFOR/TF0QUG68cm/Jk7APQnA0kTkYgp+PabYwjHVEF\n","Im9jVElMCOxW4ayMXAYc4Cgc7hQq57QNcL7udoutmW5onrM+kOc42/h1w2W2M2rdz86o7Oi1ZBcw\n","yMDsjaEMqGsOWW6rC4QyGgI9ovWV8Eo8wjYeaBFZ14WwIhxT8Pib+7u1V2PAqjf3Zwz5e/9QOwrc\n","Igo9IiSRR6FHz/hjZGDMR4bSGJVPJGtWBSwMrj1h2uhCXFQ1GmuumUvGKoI4jnHypCB0+uo9u9gr\n","pYRdL6mpgM8l4lBrBHXNYTglUmPgwHEwvcc1piciiisMAs/h2jMnWh5naFS9m9CoUjQGRUNiwYNB\n","SpvTGN73JWltzZZN+wI4EAglRSDo3vscgCKv1GOvJzt9qp31bebcqKzABYHnwRhDOK7gSEcUPpd4\n","TIS4RyIRLFq0CF//+texePFis3ww51FutxtFRUUpH6eFPyNT+PGCca8TRC4YERTBqAy7R0K2Sc+y\n","YdA8rO655x584xvfwNy5cwHoA49hKX/ooYfwhS98AaIoYurUqVi1alXOx/QFio0hR87CzVrkOcgW\n","VglR4NBhY+hpD9sbQFrDsq3RJRTT3Y0t26oy29jtZE8mU7+IpeooHbQxntQGQo7C4Xb90BhsjU5m\n","m22ubzyR3dCKiKzaX3Oeszd0cbDVzzDK7Qx3EVlDoYPXkh2G94jV5I/n9ZBIY79U3TBd+8oK42yt\n","YWtDQYuDjlA4piIUsx5U0jWsku+NtrCMeSeUY8uBZjDGTA+r5JXDA4EgGGNmhiJVZfC68tsVfiiN\n","UfmCMWlv7Ij2OAwlnXknDMOfv316H7WMIIihDG+z4EZ00VsPKw7A1FGFuHPR9JSwayOE7vt/+cB2\n","4c5ATnhP+1wCVI1BZbrUxbACF649c6LtwsMzm+vQFpb1JEEij5ismX1RNUBNM1iKPIc5E0v1LIE9\n","CBFP15NyCxxiapcXgCF/ka3XViZ9KkngIasaGGPwu0WMKfHgcHsUbpFHTWUZrppXcUyEuD/11FPY\n","smULIpEIVq9eDQA45ZRT8POf/3zIzKMOBIKQs3BEOFbwSULGhEoEYUemCAqe0+Vt4oouF9RbBtRg\n","xZLelEtLS/H3v//dcr8rr7wSV155ZbfyXI7pC0SRh2rxpUgij2JJMMP/khlWoFutPS4BsoXXk0cS\n","bIXDVQZoDkYgzmZKIiuarUsXYw4WokSxXTjYuFIv9h7tMiwkGytk1Vlw3MmPyiOKlimZPaK+AuLk\n","feREoUe0/E4KvSLAugxPyZM7r0tAu83AnU0WjYhD+KJT9kWR56BaXCMeHCSBh6LpW7kU3TDeVher\n","q809KwdSMwWlozF9gqixromdcf14jjNFTI0011FZTVk5ZCzVXVTWGOSoAntn7sFhqI5R+cIzm+vQ\n","0BaxNBj3hBGFbty0YEoftYogiKGOnUQAocNnSNSSiSKPrk/10rKzLbfPn1wOSeB0L2qHE+lao/r2\n","Mr+7W/ZAOw4EgmDQFzk5cJBEHnGbCQvPAT+8aGrW4u0GyUlAorKakCjgTG8wxhhiqobyLL2erOo7\n","3BbF2FJd78sjCeA5fS6XPDcaVeTJ+roMFW688UbceOONltuGyjwqGFV6JWEw1AjJVm8fBJEddhFd\n","BlpCz8oYA3vLoHlYDSVEjkPMolzgOFx/ziT87J8fpyflw/Xn6A9SwwiUzrhSLz5qsBZkB5zD5ey2\n","aQ4HagwQMsTgFdu4hhZ5JUgiDyUxYUyeq7iSyi3PazP2axocxcgz4TTIOulJeSQBbRE5RaSe4wC/\n","W0JLyNpg5eT+bmAXSheyCN80SJ7YpaMxhupxxXj3QEvKd84BmDG+GJ8c7USrRXsLPbn/pJ1WZzkA\n","k0f4dYMmUnecMtJvrsCu3VyHTwNBnDKuJGXlsLEjmlKXcXhyOTF0MVaZX97VkNXvxQmR50hYnSCI\n","FOwkAoiuZDu5wnNAVFZtvYqM8f1wW9TRa9zALfI4a8rwHnkPVZb7sb8xBFXTwHgG1eJBYswdBI7r\n","kZyAlReUoSfFEu0VeT1hz4hCZ2NSsk5Va1hGOKagYpjPVp+q5oQyXHVahe3ciMgfjhyH89H61vBg\n","N4EYoihZTPYVjUHiOczoA71iMlhlgeIQKlY1phg+t4BQrGsy5XMLqBrt/OUMhlXbyTgC6GLuxiqd\n","IUJpxJ5OGOazNLxNKPPlbHhzEqTPhN3KW0zRUOygJ1U9thjNwRhiii54LvAc3CKPGeOKUdfiPHDz\n","nPWk0K4cgG1cbzacf9IIvHugpVv556eNQHtYtjRYjSzy5Hw+Bt1YYBVWKvAcxpZ4LO+BMcX6OZ3E\n","c0Nx1ZxsJhvfkn83xNAkOQywt8YqntO9HWkyTxD9x2uvvYYf/ehH4HkekUgEX/ziF3H33XcDAJ58\n","8kn86le/AsdxOO+88/DrX/86L8LxspFgOB4pTmSU7q1QNAMsvYqSvYjs5pDJCDwwsbwAj101u0fn\n","X1JTga21LQgEYynhgKl1c6YcQrZyAnZeUMMKXIjGVSiaBlnV4HNJKPH5MhqrjLo8koCmzigADqG4\n","irKk+tL1qeZPyi6xADG49EXY0lCD5uBErvCcdYRQOrLGELXRTu4JZLDKAjuNJllleHj9XkTiKoSE\n","PpLG9DCwR9bvxfzJ5bbaTwcDoZwMIIAuLG41deNh74HltAJnlMdV1qUtldCwMoQonbDzzDEMXj3t\n","oxmmJ1lnNbQrN/rilAUvPVudqjHEFA0zxxXjxQ8brBuUwOcWEIx2H9wL3AI6LcoNXAJn6lGllwOA\n","arFN4Dm8+lGjpbj+ax81IhxXke6Zz3FdDx+/W0DQ4kFU6HFuq502FscB/7e/2XLbWzblyfjcAmJp\n","LxwM+rUjhjYPr9+b0djbE6rGHH+ppQliILnyyiuxbt06nHbaaYhEIqipqcGZZ56J0aNH495778X7\n","77+P0tJSLFq0CGvWrMG3v/3tPm/Dpn0B/GTdbnxytNOcC/g9AqYM92Pn4Y7j8uWxp/gkHpLIoYSX\n","LGUQsoHndK/02RUlloaa5Cx3bRHZVq7CqEvguJyz9j28eCYeWb8XWywW6gB9tV7gepYZ0C5LX0RW\n","e6wnlVwXx3Foj8gIRhU0B2OYUFZwzOpTEccuvVRvII5jdD3t7G6gbN4TM56v1zUcF9j7CX3U0KF7\n","JDEGRWVgCYHJ3Q0dAOyNPbLKMMLGG2Zkkccxu6Bbsv7a3BIPt012OLfEZ8zKZxh6jOwrxkCmagz1\n","bRFdJJzTjRc8p7fls9YISn3WoYSlBZKpDZCOXXkyfre1PbXQI9reuDyQ0EDoMpgZ/y/wHN4/1A63\n","yEPgOT1MMuFhtf1QOzw219WbKLcyLDmVGwgOHl92ffR7RHxQ12q5bXtdK+KqBjA9hbRXEuAWOYAB\n","csLFpdRnnTrarjz5vFYUekTEDe0vrusD2HvKpRzvsumnTf+J/GfTvgAWP/G27ctFLhR5JNKuIoh+\n","ZtSoUWhsbASgp6JXFAVlZWX4xz/+gcsuuwzDhg0Dx3FYunQpnnvuuT4//6Z9Adzwx234+EhnygtT\n","MKri/UPtZKzKAoHnIAo8fC4Rfo8IIcfc4X63iFFFHttxNzkDMJ9FgvISnyvnrHfzJ5fj2etOh0vk\n","IXC65EQ6DD3LDJjc/vQsfcGYbnx64mtz8NhVszMal9KzIZf73eA5PZSwNRzvcX0EMdjkOGwQhGPi\n","tFzeEzOer9c1HAfYhbmomh7DaRh3kv81YjudjBULpg633HbetOGOBiunrHx2ulByFrE6YdnaZS+S\n","KDf7x7r6CQCzKkosj5s1vsSxrZkIBK0z3TV1xmEXocDzuig5z3H6hI7nEt5vuujbzvo2RGQ9Ux2D\n","vmIXkVXsqG+z9cwy3OCdxNPtJosC55xdMN3ryCAma5ZeWYDuCWd4Z8UUvf0xRd9XSpQ3dlrH4h/t\n","iJoGuHS8Eg+/g2HJlTiOsa4PYG9ATaYpaKUCBzR1WpcT+U1XCu++M1YBwNTRhTTJJ4h+Zt26dbjl\n","lltwwgknoLKyEitXrsSsWbNw8OBBTJw40dxvwoQJqK2ttawjFouho6Mj5WOXiTidZzbXUXaqXiAJ\n","HFyCnn7H59IT+PTExmdMV3h9nQujiz2267KV5X5EZRWMMXhcqR7RydMekedw6sRhfaI/WFrggsYA\n","DgwusctMxgE4tbJn50huv5GlTxR0PdOayrIeiZ8n1wUABS4Bfo+IEYUeFHrEHtdHEIMNLQ0QueKV\n","up4H6a/A6cnbsnlPzAS5N/QzBa7uoVCAHgr1yu6jlse8suuorfaRBvuQN6fMXNloy4RtYplDMRVj\n","S7yWWQ1LfBI22bj6bdrf7NiPTDh5hDllwaseW9wtU5kh+rZpf6CbC6zGgGBMsTUQGcYgp/b43aJl\n","xoRCj4i2iH3sbshGsN6u3DifzyVahgv6Eh5LRpvTiSkMdlF4GmMIOBiWzpxUhvUfN3XbdsakMgCp\n","YqSV5X4sqakwdRuSV8zTs0wSQw8jNKIvvz0OoJdYghgArrnmGqxcuRLXXnst6urqcNFFF2HOnDnQ\n","NA2C0PWAEEURms0i2H333Ycf//jHKWXz5s3L6vwHAkEKRcmREp8El8CbC2mfHNUzO2cfnNG1n0fk\n","UeyVsL8piBXP7cDPvzSjm9ZScgZgt8Cb50n2YC/3u/s0UcY3z5iI+/+1B3GFgef01oo8hx9ePBVL\n","z+pZZkCrDMa5ZumzqqvYK5GRihiy9EHyNuI4xe+R0BqWbaWIkiVrLps9ttfnI4NVL7HzujHK/R5r\n","bQG/W7LVfWmy8Szqb5w0rpyy4Dl5EA0GMVnpZrwzRN86bHQe2nPUfzAI2gjKddpct97ipI2WiZij\n","Yc56W1TW8MlRa5HTT44Gu4mRbjnQjJ317eYEODnLZPIprFz+ifznQJaCtz2BATlpnxAEkT2BQADb\n","tm3Dhg0bAAAVFRW4+OKL8cILL2DMmDGor683962vr8eYMWMs61m5ciWWL1+eUnbHHXdk1YbKcj/2\n","pIUDEpnhAHSEZWiJ/zcc+HkO8EgCIrLao2saUzQEOmNwiTziShxrN9elGKyMRSgAkAQeksDhtMph\n","aI/IqG+LAACmjy7Css9PARhww9pt2FnfjriqwSVwqB5bkrJwlS1VY4oxeYQfnxzthMp0T/XJI/wZ\n","kxlZkSmDsdNCW0/q6kk9BJE30BhM5MioYg8OWdgxBA4pHr+zxhfj3ktP7vX5yGDVSzLpQvlc1u4s\n","viEmNt0etTH05KFHxBufdPcCMsrtHHp66+jjFDbaHwy0kZBB1yuz4rPWCJ7ZXIe2sG5oDUaVbhPg\n","k8cWY3MifCz5Up/cB6lOiYGn0CM5ZgfNBbfI56x9QhBEdpSUlEAQBLzxxhs455xzEAwG8frrr+P2\n","229HRUUFlixZgpUrV8Lv9+Opp57CokWLLOtxu91wu90pZcneWU4sqanApv0BtPVyoeh4I3lJiaFr\n","3iLwetZqkbdO8GKHygBoGuS4fsyO+jZzW/oilKxqkAQRyxZM6WaIMfY1RMg1xsDzHNrCTSkLV9lg\n","1NUWjoPjOHBM9+dqaI/aeoFlwi6DcaaFtmzryqUegsgHKMiByJWOiGxpAzHuKT4RTbOjvgOrN+7H\n","0rN75h2bDrk39DO98YTJJ2yiAmzLDZy0uPqLgTYeHS84GWd31rchFFcRiqtQGTP/35gAf/6kEd2+\n","cw7Agmkj+q/BRL/R0GZtvMwViedw64UnUlgFQfQzoiji+eefx4oVK1BTU4P58+fjP//zP3HZZZfh\n","1FNPxXXXXYezzjoLp556KkaPHo2bbrqpz9swf3I5Hr9yNgop6UafoGqAWxSgsp6/faqaLjOhaSwl\n","RD85I16pz4VRRR6E4wrWJjyuDFZv3I9v/Pe7qGsJoz0im20wdJ6sjnHCOG9yHSpjaI/IaGiL4JH1\n","e3vcRys27Qtg+V8+QH1bGHFFgyTwtn3Mts3p1+qR9Xtxw9ptuPiRjbhh7TZs2hfok7YT/YM718wF\n","BHEc8mmTc6SFxvSwcUVj+O1btb0+H80W+pl8C5fLlUyeZERueCXe8l6wKx9MeM46bJTndCF4TWNw\n","iRx4jofGNMSVrgnwqx81WmpuvfZRY6+t7sTAYaSiP2TjbZcL40u9uP/LJ5OxiiAGiM997nN45513\n","LLctX768W6hffzB/cjme+NocrHhuB5qDMUfdRiIzLoHPuIBoh/FsVpMe8OkZ8TiOg0cS8GlSOPjq\n","jftx/7/2QEmbGDDoK+tRWUWRV0o5JhPGeTsicrf5hqwxbD3Yik37Ar3yXDI8opo6owDTNUOjrRGM\n","LfV262NP2px8rThw2FbXimKvRF5XQwQKUSaI7MnGm9f4TQX6IMEWGax6icRzlmLnklO+x0HCTpQz\n","m5aKPNdtUuJUbtBfhi6nvjjVLQmcpdC3XXl/w9lcfbvywcQj8ghbGNE8Ig9XQow1rjAwqLogK3Td\n","CwDYXtdqWef7NuVEfvDN323Bhj1NiYxNOn35K7mqZnyfxLYTBDH0SNYEere2Ba3hOBSVged02QSv\n","JEJRNYTiqm1GXUKfv3hdQkpCk1zoiMqmMaiy3I8tB5rBGAPHcWCM6dkINYazf/E64ipDU0fUMaRI\n","SxitThlfknUbjPPaa6qyblpbPcXwiHIL+sIgYwwaGI52ROFzCT1qb3KbWcK7PBCMoTOqgIOekKfQ\n","I4ExhiMd0V63neg/nN5lCILoBX3wSksGqyxIFxBLLhcEa4OVmHAtdfJKYSw3o4tTnXZGBZ+kp/G1\n","EoAvLZAczpbYxydZisEPK5DQ2JmbSHwmA5pPsu9LTNEsvxOeM1wQu28TeWBUkcfSO2R0sQd1Lc5e\n","I7kauzLdP5ycyJyHxDVhermo2hsJVY05Xrtc2+p0ze2Ok1Vmiu8l62sAwOgSDwB7S3xP9DaIgeXz\n","D72BfU1docu5flMCz2HFRVPx2keN2N3QAaBLqJe8qgji+MZOXyids3/xesZn9PFKqc/VJ/XEFc3U\n","iUrPiNcZVRCKKZAVFbGER3WmZ4LGGHwusUfahMZ5A3bJhxh67AGVzoFAEBx0va/kOUs4rsLv7ll7\n","k9t8qDViangZHG6LYmwpB79bzMl7ixg4jsfZqERhkESO2L3bWqH1gTGYNKyyYMrIQsvyE0cVQrZZ\n","9YsnyssKrCcS5X4Xir3WhqJinwS3TfY0t8jjRJv2TB1ViPJCj6VWUHmhB9efMwnpjl88B1x/ziRz\n","Pys46KtkVkRkFXbjncDBVqOi0COi1Gfdf8OAVl7osdxeXuiBW7IWd3VLQk7ZDoMxxfGaA8DsilLL\n","7XMmlNoO+pLAOd4/00cXmW1jrMsQWTWmyNE7LZM2mN0EttTncmyr0/3D2xwnCJyl+B5DforyE5lZ\n","vXF/irGqN5w6sRRLz56EZ687HTvuvhA77r4Qz153OhmrCILImuqxJYPdhLyEg74o0BaOg+d69vJp\n","7M1z+sfvFk0NJ8P7raayDIUeET6XoCcR4risjFU8B4ws8uDnl83o0VhvnNeuJ73NJrtpXwCtYRlN\n","wRgUTReqN2Z+HIDK8oIeP5uMNuvXh5nXiwMQVzUcbA6htjmEzqhCmXDzmOPReFPgIr8VIjfGlHiz\n","3rcvnBfJYJUFdy6cjoK0rH4FbgF3LJyeMeQtaGMg6YwqmD+5HJ40I4lH4nHG5HLMtHFJnlVR4tie\n","6rHF8LkEiLweVCbyHHwuATPGFWPp2ZNwxanj4ZH08C2PxOOK08Zj6VmTzDqs8HsEBGPWBqtgVHU0\n","yNy0YLKlAeSmBZNNQ1k6RvmoYmvjyegSD2aMLTa3Jf978rhiR4OVnQGlPSw7XnMAWLZgCkq8Eow5\n","IccBJV4JNy2YYjvoF7hE3LlwOjxS9+/5joXT8fmTrEXHF0wbYXrppSMJHOyCI4zyuROHwSPyKdfG\n","I/I4tXIYvjpnnOWxX507DtVji1HklVDkEeGReBR5RBR5JcwYV2wb5iryHOpskgvUDbHkAoTOz/75\n","cZ/UI3DATQum9EldBEEcv5R66cXKCgZA1fSwSa2H8YAM+ksAz3EQeR5lfneKF9D8yeV47KrZeGnZ\n","2SjxSXCJPMJxNStPlHGlPjz01VNyXphwOsfMHLMLG9pVkSS9NCUR7+4SeJT5XeiwyYidifmTy1Hi\n","kzC62IsJZQUo8kjmfExjevbkUEzJue1E/9NXnopDCa9NJnuCyERPDFZ94b1IBqsssTKcgOkv61YY\n","5U6i60tqKnShxqQ6PaKAq2oqMmZVk/hUY4TE8wADZo0vRiiuQkmsgCmaHlM/c1wxNu0L4G/b6hGV\n","NTAAUVnD396rNzOXeG28lryS4GiYczLIVI0phjttm1viUTVaf2hbeXwZJ7Pz2umIyFi2YIp5jY19\n","RJ7DTQumOHofOfXj8yeNsGxPciY7WdVMjQjG9L/BAI/NoO91Cdh1uB2xtPsgJmvYVd+Ov22rt+zj\n","c+/Xwyta1+mxKU9m1vhixBQtxd09pmiYOa4Y937pZMwaX9xt/3svPRlLairgFnlEZRWqxhCVVbhF\n","HlfVVFiGvgL6PWYVRgjAtpzIX3703Id95hp/+WnjyZOKIIhes35P02A3IS8ZViBB1pguE9CDgdvw\n","qtIA+FwCxpZ6UeASEJXVFC+gTfsCuGHtNnzWGkGzXZheGh6J77FnVTI/WbfbdhsHYPuh9h7VZ/Th\n","umfew5H2CEp9ku4NlUDgOIxJyBdYeUAZx2fK9ldZ7kdUVsEYQ1ju0vLkOZheVz1tOzFwTCwvGOwm\n","DCg8unRmCaKn7DnSkfW+fXGb0ZJVFvxk3e5uHkbBmIp7XtxtK9KXjXjfrsPtaE8yyhghVLvq2x2z\n","qr36USPakjyFGIC2iIxH1u/FYZt0879/+yCisopoWghjVNGw7M/v493bz0erhb4VALSEnFecMhlk\n","omnborKGn6zbjTaLLDAaA377Vi2Wnj0Jn9p453zaFMJT//dpNwOKrDE89e9PUeQR0R7t7tlW7BXR\n","HrH2eGNMv7ZW7TEy2f1k3e5umYxCcRU/WbcbLptfoyTw+PX6fZbf5a/X70Mobt2ePUc6bUNG+Sx+\n","+HaGsL9tqwcAfPBZ6qTpg8/asXrjflSNKUZbWE7RlmoLywADFJvwV7uw2GScNLWIwWf1xv1Y9cZ+\n","tIa7G4lzQRI43HbRVNN7kyAIojc0dUYHuwl5ycXVo/Dsu58B6NkqtsaAYo+EsKzAJfKQVQ1HOuQU\n","zSnDIykcV+ARBXTCer6SzohCT87GqtUb9+PjI52224s8Pcs6mNwHYyHucFsUwwpcUFQGRdMATo+G\n","sNLbSrkGGbL9Jet+ReIKOA4QeR5jS73wu0W0huOkYZXHNNi8Px2raOjSmSWIntJm8z5tBW/rSpI9\n","ZLDKgj02D8+PGzptJwjZxGs6GTIisvWN8N7BFtsMctsOttp6wTiloTfE1FWbY+3KDZz6YRcSuedI\n","J+zkFo526BPTuI0hJKZoeP1j69XW1z9ustXG4nnONosOxwHbD7VZHmeU290He450YlyptWskA0On\n","XVioTTnQ5UJueVwWg8QnNm395EgnVr2x39Iwt+qN/RAFDnE19brHVQ03P/s+RJGHauExJdmUJ1Pq\n","c6HRIq3p8eiCnW/86LkPsXbLoT6piwMwfpivV6vrBEEc22zaF8Azm+uwaV8AHVF94YrngCKPiFHF\n","XhxoCiJGCTkyctLoQrSGFfAcBx56aFtPtEIisoI5FaUo87vxaSCIU8aV4Kp5FebYbWTTG1XkAcdx\n","aA7FMtYv8Rxm9CLs7am3am23uQUOksj1SAcquQ9xlSEUlaEyhoisYkyJB4fbo3CLPGoqy1L6bnW8\n","kS3RLttfctbLjXubEEucw+8WwRjrccZEYmBxek86VrFzciCIvqQvMnCSwSoLMulU5UouhgzdhmOT\n","ra2XNwTPA6qF3cGu3CCXfjDYp1/OphtO30mng6HHSd/KLm22Ue50znqbQb++Fw9Au+8zm+/ZSePK\n","KlMkHMoBoLEzjhKv1M2TDgA8ktDNiy4dZvdl9yYHN9FrNu0L4E/v9o2xCgBOqxxG2f8IgrDF8Fhp\n","7IimeHxrTF+xbYvYe9cQXYwodOOOhdNxz7rdKPZKaI/I0BjLWsfKkEi4yWG8PhAI6rIVidVFkee7\n","LWilU1rg6nGWvWRaQ3HbLNoel9jjrIPJfSgrcCEaV6FoGsJxBZLAYVQGYfj0a8BxnGO2PyPrpXGf\n","B2MKlIS8Qk/bThD9zSHKvEoMAKRhlQfYSFjZluc1/WWZG2A0mwbblffJOXM0vmXK9tfXx/UGhVlP\n","VFUtc0hgk432RWOWmhhE//DM5ro+yd4B6Kv9lP2PIAgnDI+VdHkCInsK3SKGFbjwrf/eio8bOtEU\n","jIExhsy5+7pgABSVYfn/fIDVG/dbn8cjobEjik+OdqKuOQyBh6nLBHSfbwwrkPDw5TN79QwoLXCB\n","JfRhhSQ3fIEDzpxc3mPv3WRdKb9bxJgSD0SBh0cSUFNZlrG+5OMBmJ5Smby80rMsZnMugiCIoYJP\n","GlgTEnlYZQFv42adj0YpHtbeNbq4HmfpZu8W9Y7YeeD3xjPf6dplelH2SrylaL1X4k3h+HQ42HuD\n","ZVgYzBknMXdAn3hZuUOKPAevJFh6ovk9oq2nWG/I1FYnglHrTJGdNuVE/vPPHQ19Uk+BS89SShAE\n","4YThsUL0HA7A8EI34oqGPUdSJSly9bA/2h7F/f/aAwBYenaX5uCmfQHUBkKJuQvTE8xAl0/wJryq\n","NcYg8BwKXAJKfK4+Mch884yJuP9fe6BoDDyn91ngOfzw4tw0EZN1pXRvcDWjV1Wm47P1lDK8rYih\n","QTbvJQRB6EwdVYj3BzCJBBmssqC8wGXpCVLud6Gx09pDJJtBz854wEE3LsWtjEsCBwZYbnMltmkW\n","2wSBQ7GNjlCxt3c6Qk5GKadr19QZt+0/AAz3u1FnEVI3vNCNhvaopYi3aCPunQ2ZDJN+t9BNfB8A\n","CmzKDfxuMUUkP7ncJfKWBiuvJDgarDI5wzkZ++KqBqvFbZHX01tb3lsih7hif11FHrZ1EvnJlP/3\n","Yp/UM77Ui/u/fDKtHBMEkZHKcj+2HGge7GYMOrksHokCh/awjJjD6pvEcxjmdyEQjGVcpDPOr2gM\n","9730Md4/1I4lNRWYP7kcj6zfi7awrHs5cQAYA8fzmDS8ACeU+7Gjvh2yqkESOMwYm6p9ZWiUHQgE\n","UVnuN+vMBsNo9tu3atESiqPAJaDALeLX6/fh1+v34aTRRbh5wZSs6jPaAegJcHgOllpVTu1N1qWy\n","0vnKdO5crgExONi9rxzL2GW6J4hMDHTGUzJYZUHExnXdyiDQE+wEwHnO0ArobgQREinirLaJPA/Z\n","ITyL55Pk2pNmS0IvByxJ4C31nySBd7x2Lom31ERyJ9wMWyNyt0kdB9hmM+wtTv0AAL9HsjRMFXok\n","cOAsDU+FHhEelwBYGKy8LgEM6JfvhLNTtOc4CDyvZ8ZJQ+B5FHslS6Nmidfa2GmQa0gkMThs2hdA\n","L4cvDPe78MgVs8hQRRBE1hgeKx5Jyah9eCyTy6NRUTOH/Qk8B59LBGP2z2srNAb8394m7Kxvx9fm\n","VWBbXStUTfegYgzgOR7FHj2hzWNXzbatpydZ9exYevYkLD17EjbtC+DmZ7enaIRurW3Bzc9ux8OL\n","ZzrWl94O3bime0alG6sytbennlJ9cQ2IgcfufeVYZsbYosFuAjFEGejXOzJYZQmHLgOTnaGpp3gk\n","AeF4dwOIWxJ0g4WFXUYQEoYIm21FPjeOtHdP/1zud0MSeNMmwliXFoFhkMkVl2ht6HEl3Gvsrp1X\n","FKxFvMXUcAHe4tgyvxtHjX4mGXrK/br3VS5k0iNzCVyKGKjRL0ng4HVZh/Z5JQEugQefaKJ5HLqu\n","e398J3YGL4HnIPCc7feVq1GTDFZDh037Avj2H7b2up53bz+/D1pDEMTxRLLHylv7Apbex4Q12TxO\n","3ZKAQDBzNj87wnEFv32rNjG/SehI8YCsaGgLxyEKHC5+ZKPpNQQAj6zfi90NHQB0LzBVZagY5suY\n","Vc+JTfsCWP6XD1IWyoxpSFs4nrG+TNn9DA+of5vZ/Lwo9Eg5t9fu3KG4ivaIjNZwGN//ywd46Cun\n","kNEqT1H6SzckjznS0TPDNkEMFhSwkwVjS7x6qF3CUGH8O67U26t6K4b5LMsnlPkwtsS67nGlXsdt\n","C6YOt9x23rThGFXs6a6SyQGjSzwA7G8GHs4i33btGZtoq92187isdSy8iXK7Y8eWevHNMybqBiwk\n","GZA44NozJ9q0NLMgebKuRvK+RntGFXu7TRgZgNElXtPQYxixjP8XeM7xujttc7rmTt8VkPk7sdvm\n","EnjwnG7UEhPGLZ7jem1AI/KHh9fvdQxhzYZ5Jwzro9YQBHG8MX9yOR67aja233UB/vitGowodPdr\n","wpDjCUngEMxB/5IDEFc0eCQBLaE4irwSBE7X31Q1Bo3pOlmhmILOqIItB5px87PbccPabXi3tgWh\n","mIJQTEFrSEYwpiCUWIzNlFXPiuRMksloTP+ojGWszym7n1H/lgPNiMoqFI3hcFsUwZiSU3vtzh2K\n","q6hvjSASVwEGNHZGseK5Hdi0L5Bz3UT/4T3OtPV4AC2h4ysEkhi60FtoFhR7pW5ZUTgARUnl6Rjl\n","Tl47TvXmuq01oqDAJUBMZHMReV0QuS2spLRJSngLJWN6b6F7uV2csyhwtu0pztBWl8BD4PS6pcQ5\n","hCTjiFO9VWOKUeSVzD7wnF5n1ehijPBba3INL3TW6ir0SKbIp3EungP8bsn82ygzrp+xr5Ohx+m6\n","O22TbASgXCJvKawPdAnu5/KdFHslVI8thicRkqkktKw8Eo8Z44ptzkgMFTbtC+Cs+1/HlgMtOdfB\n","QU+nftOCKX3XMIIgjlvmTy7Hw4tn4rTKYfC5BPMZyEHPOrdg2nCMLvYMahuHAgIPDPNJGF7ohp0i\n","QCZcIo+orGJYgT5XGlPiQYFbBJ9YhRN5faG11OfCqCIP2iIy2hPSDS6Rhysxd9MY0BzUPTeyzaqX\n","jOGhZNcPTUPG+pyy+yV7QHldop6shzG0hOI5tdfu3LqnG9OzK3IcClwiwnEFaxO6WkR+4fdItu9s\n","xyIadA1eghgKUEhgFnREZZT73YirGmKKCreoh3l1ROSMOkxOBi2negHktK0jIqO0wIVSX5dxpjUc\n","N1eLygq6jvO5xJQ6nbDLQCOrLOd+VI8tRntEBmMMcVWDS+DBcZxpHHGq95nNdRB5DtNHF3Vz985V\n","cyyb9thdP6djP20KOl53u21+l4AWi74UuAXLkL5kcv1OPj9tBF7ZdQRqIkOPqjHEFA0zxxXjxQ/7\n","JqMcMfBs2hfADWu35Rx+4xE4VI7w44Ryf1aCswRBENmSjUbQlB/9M+eEKsc6RR4xJUvfpP/3Yo8F\n","RozdfS4RX5tXgT+8U4dgTEGhR4QkcGiPyPBJIupaI4grKlyiAFXVszWrDFDT5lehuILWcLxHWfUM\n","DA8lO+kNnucy1ueU3e+edbtNDyhV1XTvfcYQjMk40sH1uL3pAuuzxhdjZ307WsNhgAGqpi9glvnd\n","kFWtV95bRP9hzOPbByFMOV2vd6AYWUSLAcTQgAxWWVBZ7kdTZzPGl3pTjCMnDPejoS3qqMNkN79S\n","mXO9jCHnbVsONIMxZm6LyipOGV/ieBwA+D0iWkPdB+pCj4gWi/Jsro/TOa86TZ9QhOMKirxSt4mN\n","U72fNtm7e9vFoWeKTzcmOLm0x6kvz7xTl9P1aWiz1uJy0NXv9Xfy/qF2FLjFboa3gc4GQfQtz2yu\n","y9lYVVYg4b07LujjFhEEQWSP3y32W8KVoQoHPfPvWVOGmwsJm/YFctJYdYtcSj1VY4pTMuPtbwri\n","k6Odupc5zyEUlW3nt4DusV3oEbPOqpdMZbkfb+5ptM3afOrE0oz1OWX3qyz34619AYRjCliiTpXp\n","c6tJw/1Y9vkpWbfXTmD9a/Mq8Nu3atHYGYXPJaDM70aBS8CRDhmnjC/J+loQA4fxDpCNwSpZm7en\n","Pzee0zNyc5x+v4ED9jcGszLI8xwgcHpGeK+LRySuQclBsE7gOfjdZAIghg50t2aB00rNewdbbTPA\n","9aZeMAzsNgB+l7XByu92Nljl2o/5k5zTBTvV+8w7dbaGuaPtUUtvKq9LcPSyypS+2Kk9jn3J8Tt5\n","ZdcRy3aG4pn1KXL9Tu5ZtxuFHtHWQ48YWmzaF8BP1u3Gx0c6czr+qprxuPfSk/u4VQRBED1jZJGH\n","DFZpeCUBa74+F2DAM+/U4Z51u9EalrMWXNcj+PT508zxpSnZ/5K93jbtC+C7f9xm1qtm8WI9ZWQh\n","nv326T3skc6Smgq8vNPao5sDsg5Jt/Lc27QvgOZgDB0RGQwww/UkXr+e5X53j4xrD6/fiyPtEXAc\n","B1lhKC2QEIwp2H6oHQ995RTTmCWrGo50yD323iIGDuMd4Jqnt2Q0Hp12wjA0tEUhqxpUTYPA81A1\n","hrZwHPEMx44r9WLG2NT3i037Almdd1ypDzPGFqcYqK9aszkro5kucSImGU+jvQp9JYiBhAxWWeBk\n","yIhaZPkDoIss9qJeAAO+LRC0zhbR1OmcRaI3/XAKBXCs18Ho8tZea0HLbDyTcm6Pw7G5Xh/F5sFl\n","V94X56ws99saAj9qyM3oQQwOm/YFcMMft6Eth5c8MlQRBJFPWGU/Pt7xe0SAIcXD52gPrpOmAT4X\n","D69LQEfU+jlheBD1JExK4JCV1IQd8yeX276AMyDnkPRkb6hkryqfi8eIIk+Pw/U27Qvg/bpWqJqu\n","UxWMK4jIKoq8Ij4NBDPOw4j8Y/7kcpT6XCnZKa2wM8bOuucVxB0W+AFg423n5Xzejbed2+24bBlX\n","6iPjKTFkIYNVltgZIyKKtWEqalOebb2Dsc1OFymTXlJvzplrvU4TATsPpGw8k3JtT2+Os9tmuBtn\n","W94X53TyzCINq6GDkRI8F2OVxHNkrCIIIq+wM6gczwg8ZwqICxyHIx3RHoUnCYkEMYC1iLnxHGnq\n","jPYozFAQ+Jw9Nww9qByinDKSLLYeVxlCUd3LKqZoONwWBgOHcWlZlNP1qZbUVJhzp2c214EDBw5M\n","v5aJTIodERk1J5QB6N38lxgc5GxWt21oy2Cs6o/zZvtTIeMpMZQhg1UvsdNFkjPoJeUjmTIe5ht2\n","EwEnzySeg60uQr5R4BLRGetuZCtwiwhFFctMgb1N+0krgkOfTfsCWPr7rWZa8Z5y28VT+7hFBEEQ\n","vaM/DBhDHUngcSCga98EIj1PT88YQyiuoMTn6+ZpYXgjNXVGgR7q9JR4pZw8N4xztoXt+2LoluaC\n","IebOcRzKClwIxxSoGoPGWOL+Yvg0EMKmfQHMn1xuq0/18y/NwPzJ5TgQCKLYK6E9IkNRWWIxkYFx\n","mUXhifwlHM1t7tTf57V7T5EELmMo4YhCFxlPiSENGax6iSjwUC2s4pLQW9PBwOOWBIQtXnLdkgBZ\n","1SwHREnIP0uPwHOWIoQCz8Er8eiMde9jPqZ2LS1wIRhXUlY2OQ4o9bmgqJqlHpeRnbI30ENtaPPD\n","v32Yk7FK5IEfXjwNS8+a1A+tIgiC6GLTvgBW/O1D1LVGzLJij4i4zbONSEXi9SzEjAF7EhqFPck0\n","JvIcGBhGFHrM7ILJGN5IPpeISFwFx1hWdQ8rkPDw5TNzWuQyzunEiEJ3j+s1SJY88Lv17IdKIiNy\n","oUdCqU/Xn1q7uQ7zJ5eneGSlZ6OeP7ncTG4zpkTXV4vKCjiBx+yKElrkG8KoGdwJJYcVbpHnbLOq\n","A4DHYY6e6bx27ynZhBIO8+f+uyGIfGDoWVXyjGKPZFlelCi3s1vloz1rxthiy/KTxxVDsFnVsisf\n","TEYXW6dpHVPiQdRmIhyN598EuXpsMXySAJHnwEF/EPokATPGFfdK34o4dlm9cT8OJb0AZkuBS8Dv\n","v1lDxiqCIPqdTfsC+PYftqYYqwCgPaqQsSoLOOgLWlfVVGBJTYXpfdaTp7/PJWBsiQ8PffUUS+OK\n","4Y1U7nebGc2cEHigYpgPj145O2djjXHOuKLZepNce+bEnOoGdMkDn0vEkY4oWsNxxFUNAs9hQlkB\n","Kob5UOiRzGzTye2xykadXF8wpqDQI6LQI2FUkSdrUXgiPxEyhFx4XPYvcIWeDH4gDj/STOe1e0+Z\n","WF6QMRLm00ZKnEQMbfLQbDK0sBooOACVwwv0P5yUI/OMz580otskgeeABdNGIG4T4mhXPpiMKfFa\n","fiejS7y26V9zSQvb38waX4yYokFNrACqGkNM0TBzXPGQ6gcxMHzzd1tw7z8/7vFx00YVYvU1c2lF\n","mCCIAeGZzXUIWng6E9kxdXQhzp8+Asv/5wN843fv9li2QeCAmKqhoS2C5f/zAVZv3J+yfdO+AFrD\n","MhraI2gOxjCswAW/O/VFnOf0RTQDK0+tTfsCuGHtNlz8yEbcsHYbNu2zTohjUFnuR1RW4RJ5cByH\n","ZAd+ngNOGl3Yq0UVQ/KgprIMhR4RIwo9KHAJKEhk9TaSzBj6W0Z7WMLzJX17en01lWWW3mrE0KIg\n","Q5Z3pwVuv0dylBhxemfKdF67+T0HPfrCKeAlU8ggQeQ7FBLYS4yBggfA8xw0LdVt2s5+kI92hfcP\n","taPQI4ExhriqwSXok4bth9qHVD86ojLK/W7EVQ0xRYVbFOAS+F5lrRkM3j/UjgK3aPl95JMdtCdh\n","CET/sHrjfqz/uKlHx3AAvnDyaDx25eyM+xIEQfQVB3qQiY3ogoPuwXGkPYo/bTkExnRDTrbPX+N9\n","VmWAKmsQOOBoexT3/2sPAGDp2ZNM3aZIXAUYh86oglBcRYFLwIhCN+KKZgrga0xfTCv3u7t5amXS\n","f7LCSPoSV+KJ+nUvfr9HRLFXwh0Lp+dy2VJIljww2miVZCa5PXbb0+sjjg38HgltEdn2/cYp5K96\n","bDHaI7JtVk2nd6ZM57U7tCMqo6xAf+exOy/N0Ym+RuKBgXSIJoNVL0keKGKK/jBLNo7kk2EhEwcC\n","QRR6RJT6XGZZaziOTwNBW1G/fNSwMnQFxpd6U3QHThjux2ctYUsNK78n/zSshsr3kc29bGfUyr+7\n","Z2jy+Jv7M++Uxvhh3YV2CYIg+pvKcj8+augc7GYMORiAjmiXxpNb5MBzPDSmIaZkN6tM3suYQiga\n","w6o392Pp2ZPwyPq9ONIeBccxeCQejDHEVA0FbhEPffUUgAGPrN+L3Q0dAIBxpV4UeSTcs263mUUP\n","gJld0OfSQ+VKvFKK/pMVyUlf3q1tQWs4DkVlCMUUXeqhDyfORvY/QNec5TmgprIsJclMT5LQOGUT\n","JIYWmYxOThhGTrtjnbyvMp3Xbn6f/M7T02MJIld64rDSF3cfGax6iZNxBLDP3pCPg0eyIKXRl6is\n","4pTxJQhFlW56E4C9XtRg4rQqtr8xiI+PdJ8ojyv1DUJLnXH6PpqDcUuRxWTjVj4xlAy3Q5GeplKu\n","qRyGZZ+fQqELBEEMOEtqKrDxk0YKC+wlqgbwAsBzPAD9Woo2SWcA5+dtS0jG6o37sa2uFarGIPAc\n","YooGnuMwzOdGiU9KMeQAyZkEY6YX1dbaFgBAcygGMCASV1HfGsHYUm+K/pMdRt3v1rZA1fTMexpj\n","+ORoJ25+djseXjyz14agdO8vWdUgCfocMf2ZmI0HVS7eZET+ksno5PT6Zhg5r3l6i+W7X5HXWvc4\n","+bwdEdnyt2o3v09+57HLhJ6v7wbE0KUnUaZ98a5HGla9JF3E8UhHNMVl2G6QyMfBw6kvBR4RBS7B\n","FN7kOD1jRYE7/2yeTroCHAcUeyVIgi5kLgkcih0eIIOJ0/cxd+IwFLgEiDwSgux6/PuplcP6rT12\n","K0MZdCKJPKJA4vHHpTV49rrTyVhFEMSgMH9yOZ782lx4+yCr7fGMYZjSmNatrKfwHPDbt2oTMhcc\n","BI6DKHBQNQ3tUdlchE0mOYteqc+FUUUetEVktIXjKHCJAMdB4HWDU3MwlqL/5MQzm+vQFo6D4zi4\n","BF7XtALQFpGxNuEV1Rus2h2OKznX3df1EYOL8Q5RaPN+c+KowozHnz99FDxi6vjmkXic4WDANM47\n","qthjeqRkM79PfucpcIsQeP33PFDvBgQxEBxTs4UXXngBVVVVqKqqwuWXX45wONzv58wkujgYhoVc\n","cepLZbkfXpeAqtFFmDG2GFWji+CVhKwmH4PB/MnleOyq2Xhp2dl47KqurDWV5X5IAoepIwtRPbYY\n","U0cWQhK4vOyH0/expKYCZX43SnwujC31osTnQpnf3a8hXh7JOmzSrjwZuxWpPHQ07Ff6a4xyiZmH\n","8qtqxmPXPReToYogiEFn/uRyPHXNqRhR6B7SoeEcMoc79OdEO66oiCu6llRvFo8KPRJaQnEUeSUI\n","nO6lpSY0WRljlnMLqyx6jOnHlPndEDgOqqYfH4or3fSf7DgQCIIh8dLNceDAgef1ujN5aGVDpux/\n","g10f4cxAvOvNn1yOJ742ByW+LhF1ngNKfNlpqS2pqcCIIg/K/S6MK/Wi3O/CiEJPxvt//uRyPPSV\n","UzB+mA/l/uzn98Y7zxNL5mBsiQ/DCgbu3YA4PulJpFhfRJUdMwarQCCApUuXYt26ddi1axeGDRuG\n","n/70pwNybjvjCIBBMSz0Bru+ZPIkGyoMtX7YfR+DkZ1mxtjilFUf49+TxxXbDkZG+ZSR1itSUzKs\n","VB1L9OcYNXN8ieP2H10yDfdeenKfnIsgCKIvmD+5HA8vnonTKofB5xIgJIwuboHHsAIJIwrdGOaT\n","4M7CID8Y8NAXbMQMliK/R9c2Te4GB8AldO9XT6b1PAeIAo9RxR6s/MI0zJ04zDy+J8Yrt8hDEjgM\n","K9A9/8eUeFDgFsFzHESew+wJpZZzC6sserqBSV+YHVvqhc8lAJx1FkE7Ksv94KCHNukGMAZN0+vu\n","i8XFTNn/Brs+wp6BfNebP7kcj185GxdXj8ZJowtxcfVoPJ72jud0bK5z9ME6liB6wlfnjMt+37nZ\n","72tH/sVz5cgrr7yCM844A5WVlQCA6667DosXL8bPfvazQW1XT0Qb8xnqR/4x0Nlpli2Ygpuf3Y62\n","iGxOTEu8Em5aMAUvfnAYa7cc6naMMUjduXA6bli7De2J2HwOemjmnX2Q9Weo0J9jlPHdNHXGUmLF\n","CyQeq79+6pC8vwmCOPbJ9jm2euN+3PfSx/2emZjngCKPBFHQPXsCwVg3/Q3DFsSgezhpRrY+1lWH\n","xnTpBKOuIq+EqKyC5zgz056iaWZCEsNTK9vu8Ryw8gvTsPSsSWZZ1ehi3PzsdgSCMbOdRn184v8Z\n","AI/IQ1aZnuWP5+AWefhcIr42rwJ/eKcOwZiCQo8ISeDgc4lYtmCKZRus9EJLEhILRplL5FHi8/Xo\n","pXlJTQW21rYgEIwhniSUUuKV+mRxMZvsf4NZH2HPQL/r9WaePRSPJYhsufdL+iL4n7cegmqTLdAj\n","8bhs9tg+WTA/ZgxWBw8exMSJE82/J0yYgNraWst9Y7EYYrFUwWpV7T/xz2Nl8KB+HN8Yq+GGse+E\n","cr9p7DMmon97vx4xWYM7bZCaP7kcj1812/LY44X+HKOcvhuCIIihztKzdcPMqjf2ozWsiyGLvK6z\n","FJM1aNCNMm6Jh6IyKIlwNoEHBI6DWxLglXg0h+KWk2uB172Arj1zIqpGF3eNpcML0NAeweG2KDTG\n","UOKTcP05kwCmaz61hOIYVuDCtWdOtCxLrstYIEvPtDe2xItir4SG9ihkVYOqMSiqhoisQhR4jCv1\n","IhRTurUh2VgFdD0Hkusu9UkIxhSEYiqGFbhw3rThaAsr2FHfnhAb5zBjbNfCXdWY7u21e47YLQCC\n","oVeLglb9mD6mCMsW9E2ikL5euDyWFkLznXx+1yOI4417v3Qy7v3SyVi9cX+3Z1/686m3cMzwYR3i\n","3HvvvWhra8MDDzwAAAgGgxg2bBji8Xi3fe+++278+Mc/TimbN28e3n777QFpK0EQxx80RhEEcSyz\n","fPly/PKXvxzsZhAEcYxC8yiCOD7JT2GAHBgzZgzq6+vNv+vr6zFmzBjLfVeuXIn29vaUz2mnnTZQ\n","TSUI4jiExiiCIAaSN998E6NGjcLtt9+eUm4nWhwKhbB48WJz27p16waj2QRBEJbQPIogjk+OGYPV\n","BRdcgA0bNqChoQEAsGbNGixatMhyX7fbjaKiopSPIGTOdEYQBJErNEYRBDFQHDx4EL/97W/xla98\n","JaXcSbT4Jz/5CcrLy7Fr1y787//+L771rW+hpaVlMJpPEATRDZpHEcTxyTFjsBo7diweeughfOEL\n","X8Cpp56KhoaGQRdcJwiCMKAxiiCIgWLChAn47//+b5SVlaWUW4kWP/fccwCA559/Htdddx0A4IQT\n","TsDpp5+OV155xbL+WCyGjo6OlA/pwxAE0Z/QPIogjk+OGdF1ALjyyitx5ZVXDnYzCIIgLKExiiCI\n","wcRJtLgngsb33XefpT4MQRBEf0LzKII4/jhmPKwIgiAIgiAIezRNSwmLEUURmqZl3JYO6cMQBEEQ\n","BDEQHFMeVr2htrYWy5cvh6qq2LJlC0477TSKdbaAro8zdH2c6cn1mTBhApYtWzZALct/jDEqmaF+\n","vw319gNDvw9Dvf3A4PVhKI5RY8aMwa5du8y/k0WLDUHjE0880dxWXV1tWY/b7Ybb7U4pO3ToEI1R\n","echQ7wO1P3eG4hjVn9TW1mLZsmVD4n4aKvc9tbNvOd7ame0YxTHGWM5nOQbp6OhAcXEx2tvbUVRU\n","NNjNyTvo+jhD18cZuj59y1C/nkO9/cDQ78NQbz9wbPShv7j77ruhKIoprF5fX4+5c+di27ZtGD16\n","NH7wgx8gGo3iN7/5DW688UYUFhbivvvuQ319PebMmYNt27bZZuHKhqH+3Qz19gNDvw/UfqIvGSrf\n","B7Wzb6F29i0D3U7ysCIIgiAIgjgOSBYtFkURU6dOxapVqwAA99xzD77xjW9g7ty5APQMXL0xVhEE\n","QRAEQfQWMlgRBEEQBEEcg9x9993dyuxEi0tLS/H3v/+9/xtFEARBEASRJSS6ThAEQRAEQRAEQRAE\n","QeQVZLBKw+1246677uomJkro0PVxhq6PM3R9+pahfj2HevuBod+Hod5+4Njow7HKUP9uhnr7gaHf\n","B2o/0ZcMle+D2tm3UDv7loFuJ4muEwRBEARBEARBEARBEHkFeVgRBEEQBEEQBEEQBEEQeQUZrAiC\n","IAiCIAiCIAiCIIi8ggxWBEEQBEEQBEEQBEEQRF5BBiuCIAiCIAiCIAiCIAgiryCDVRIvvPACqqqq\n","UFVVhcsvvxzhcHiwmzToBINBLF26FBzHQVEUAEAoFMLixYvNa7Vu3bpBbuXgEI/Hcfvtt2PmzJk4\n","7bTTcOGFF6KxsZGuTwJFUbBs2TLMmDED8+bNw4IFC/Dxxx9DVVV897vfxfTp03HSSSfhqaeeGuym\n","Dknybbzq6Vhh1/5cjuktufyW86n9QG6/t7fffhuzZs3CjBkzcNFFF6GxsREAcjqmL/nlL38JSZIA\n","AEePHsWFF16IGTNmYNasWdi8ebO535NPPomTTjoJ06dPx4033ghN03I+hugf8mWcGsrjEzD0xyga\n","n2h8GmjefPNNjBo1CrfffntKeS6/i4HgtddeQ01NDU4//XTMnDkTd999t7kt3+6L7du344wzzsDc\n","uXMxZ84c7NmzB8DA/P56SmtrKyZPnpy31/Pdd9/Fueeei5qaGpxyyilYs2aNuS1fnp9WDHjbGMEY\n","Y6ypqYmNGDGCffrpp4wxxq6//nq2cuXKQW7V4HPnnXeyv/71rwwAk2WZMcbYbbfdxm644QbGGGP7\n","9+9nI0eOZM3NzYPZzEGhtraW/frXv2aqqjLGGLv11lvZihUr6PokCIVC7Le//a3595NPPskuvfRS\n","9vjjj7NLLrmEaZrGmpubWUVFBdu9e/cgtnTokY/jVU/GCqf253JMb+npbznf2s9Yz39vsiyzcePG\n","sc2bNzPGGLv//vvZFVdcwRhjOR3TV2zevJldc801bMKECYwxxr761a+yX/ziF4wxxt555x1WUVHB\n","ZFlmO3fuZBUVFay5uZlpmsYuueQS9sQTT+R8DNH35NM4NZTHJ8aG/hhF4xONTwNJbW0tu/rqq9mN\n","N97IfvSjH5nlufwuBorhw4eb9244HGYzZsxgr776at7dFwcPHmQXXXQRa2hoYIwxFovFWDgcHpDf\n","Xy4sXryYLV++nN11112MMZZ31/Oxxx5j+/btY4zp96ff72fBYDCvnp/pDEbbyGCVYO3atezSSy81\n","/96+fTubOnXqILYov0ie5E2ZMoV98MEH5rYvfvGL7E9/+tNgNS1vuO+++9j3v/99uj4WKIrCbrvt\n","Nvb973+fnX/++ewf//iHue3mm29m99133yC2buiRz+NVNmOFU/tzOaavyfRbzvf2Z/N7e+utt9is\n","WbPM8tbWVubz+Ziqqjkd0xe0tbWxc889l7W1tbEJEyYwRVGYz+djra2t5j4zZ85kb7/9Nrv33nvZ\n","LbfcYpb//e9/ZxdeeGFOxxD9Qz6OU8fC+MTY0B6jaHyi8WmguOuuu1IMVrn8LgaKGTNmsP/93/9l\n","jDHW2NjITjrpJLZt27a8uy9uvfVW9uCDD7LzzjuP1dTUsFWrVjHGWL///nLh4YcfZo888gh7+umn\n","TYNVvl3PZGKxGCstLWWtra15+fw0GIy2UUhggoMHD2LixInm3xMmTEBtbe2gtSefoWvVnbq6OqxZ\n","swY33ngjXZ80nn/+eYwePRpvvfUW7r77bro+fcBQuYZ27XRqfy7H9CXZ/Jbzuf3Z/t7Sy0tKSiBJ\n","EhobG3M6pi+47rrrcO+996K4uBgA0NjYCLfbjZKSkoxtMcpzOYboH/L9eg/F3zcwtMcoGp9ofBpM\n","cvldDBTr1q3DLbfcghNOOAGVlZVYuXIlZs2aNejtSmfTpk3Yvn07XnrpJbz44ov4zW9+g9dee63f\n","f3895b333sObb76Jm266KaU8365nMrfffjuuvvpqlJSU5HU7B6NtZLBKoGkaBEEw/xZFcdBjhPMV\n","ulaptLe347LLLsPjjz+OiRMn0vVJ49JLL8WRI0ewcOFCXHHFFXR9+oChcg3t2unU/lyO6Suy/S3n\n","a/uB7H9v6eXZtNXpmN7y+OOPo7q6GqeffrpZ1tdtHCq/m2OFfL/eQ/H3PdTHKBqfaHwaTHL5XQwU\n","11xzDVauXIlPP/0Uu3fvxn333Yfdu3cPervSCQQCWL58OVwuF8rKynD11VfjpZde6tffX0/p7OzE\n","zTffjCeeeKLbtny7nga/+93v8P777+OBBx4AkL/tBAanbWSwSjBmzBjU19ebf9fX12PMmDGD2KL8\n","ha5VF8FgEAsXLsStt96KCy64AABdHyt4nsd3vvMdvP7663R9+oChcg3t2unU/lyO6Qt68lvOx/Yn\n","k83vLb08HA4jFAph+PDhOR3TWzZs2IAXXngB8+bNw7x589DQ0IBFixahpaUFkUgkY1uM8uHDh6Oz\n","s7NHxxD9Q75f76H2+z5Wxigan2h8Gixy+V0MBIFAANu2bcO1114LAKioqMDFF1+MF154Ie/uixEj\n","RqCoqMj8m+M4iKLYr7+/nrJz5040NTVh0aJFmDdvHu655x6sWbMG1113Xd5dTwD4n//5H6xZswbP\n","P/+8mdAhH9tpMCht69eAwyHEZ599xkaNGsUOHz7MGNNjdG+88cZBblX+gCTdh+9+97tsxYoVjDH9\n","uo0cOZLV19cPZvMGhXA4zM455xy2Zs2alHK6PjrvvPMOe/XVV82/f//737MzzjiDPfDAA+zyyy9n\n","jDHW3t7OJk2axLZu3TpYzRyS5PN4lc1Y4dT+XI7pLT39Ledb+xnr+e8tEomwkSNHsp07dzLGGHv0\n","0UfZwoULGWMsp2P6GkPU+JJLLmH/9V//xRhj7IMPPmAjR45kkUiEbdmyhZ144omso6ODaZrGvvKV\n","r7AHH3ww52OIvicfx6mhOD4xNvTHKBqfaHwaDNI1rHL5XQwEsiyz0tJStmHDBsYYY52dnWzmzJns\n","r3/9a97dF/fffz9btmwZY4yxjo4OVl1dzTZs2DCgv7+ekqxhlW/X8+9//zubM2cOa2lpSSnPx+en\n","wWC0jQxWSaxdu5bNnDmTzZ07l1111VWso6NjsJuUNyRP8lpaWth//ud/sjlz5rA5c+aYIoHHG7/5\n","zW+Yz+djNTU15ufb3/42XZ8ETU1N7KqrrmKzZ89mNTU17IILLmD79u1j0WiUff3rX2ezZs1is2bN\n","6jYBJ7IjX8erbMcKu/bnckxvyeW3nE/tZyy339urr77K5s6dy+bOncsWLlxoZv3J5Zi+xnghrK2t\n","Zeeddx6bO3cumzdvHnvnnXfMfR566CF2yimnsDlz5rCbbrqJxePxnI8h+od8G6eG4vjE2NAfo2h8\n","ovFpMEg3WDGW2+9iIHjjjTdYTU0NO+2009iMGTNMAwtj+XVfyLLMvvWtb7Hq6mpWXV3NHnnkEXPb\n","QP3+ekqywYqx/LqeZWVl7MQTT0wZ27ds2cIYy7/nZzID3TaOMcb614eLIAiCIAiCIAiCIAiCILKH\n","NKwIgiAIgiAIgiAIgiCIvIIMVgRBEARBEARBEARBEEReQQYrgiAIgiAIgiAIgiAIIq8ggxVBEARB\n","DCE6OzsRDAYHuxkEQRCW0BhFEARB9BVksCLynnPOOQdbt241//7lL3+JuXPnmp8FCxbgzTffTDlm\n","1apVqK6uxkknnYRly5ZBlmUAwIMPPoi7777b8Xy1tbWorq7u834QBJHfPPjgg7j++uuz3t/v93cr\n","e/fdd1FdXW1+/vWvfznWUV1djc2bN2c8F2MMl19+Od544w089thj+K//+q9u+6iqCq/Xi87Ozqz7\n","QBDE0KS6uhq1tbWO+9AYRRDEsQi95x1fkMGKyCt2796NGTNm2G5/5pln8Nxzz+H111/H1q1bsXXr\n","Vjz00EO47LLL0NraCgDYuHEjnn76abz99tvYtWsXwuEwHnrooW51fetb38LMmTMxc+ZMzJkzB1/6\n","0pf6rV8EQeQ3gUAAv/nNb9DR0dFt28qVKzFt2jRMmzYNjz76qGM9p556Knbu3Gl+LrroItt9//KX\n","v2DXXa+7RgAAEMBJREFUrl2W53zooYdQXV2Nk08+GaWlpXjuuecy9uG5556Dy+UCJf8liGOHp556\n","yjQunXXWWZb70BhFEES+869//QtFRUUpBnPjc+jQIQDA//zP/1huFwTBrIfe844/yGBF5BWRSASl\n","paW224PBIHw+HyRJMst8Pp95LABs3boVCxYsQGFhIXiex3/8x39gy5Yt3ep64oknsHXrVmzbtg0/\n","+MEPUuokCOL4YfPmzTjvvPPwve99DwUFBbjwwgvx3nvvAQA2bdqECRMm4Oabb8bNN98MjuPQ1tZm\n","WU+y9+epp56K2bNnw+Vy4R//+EfKfoqi4OGHH8aKFSuwbt06LF++HHfddReam5vNfb7//e9j586d\n","2L59O4YPH46zzz7bsQ9vvfUWli9fji9/+ctYtGgRjhw50ruLQhDEoHPhhRfiV7/6lfl3a2srqqur\n","8frrr5tlNEYRBDFUOO+881IM5sZn/PjxAICqqip85zvf6fYRRdGsg97zjj/IYEXkFe+99x6GDRtm\n","u/1b3/oWRowYgYkTJ+LUU0/FnDlzUFVVhcceewxjxowBAJx77rl4/vnnsWfPHjQ2NmLVqlU4//zz\n","u9UlCAJEUQTP81i7di0WL17cb/3qLz755BMsWrQIc+fOxSmnnIKf/vSnlvuFQiEsXrwYVVVVqKqq\n","wrp16wAA8Xgct99+O2bOnInTTjsNF154IRobGwEA//d//4ezzz4bc+bMwezZs3Hvvfea9b399tuY\n","NWsWZsyYgYsuusg8JhAI4Ctf+Qrmzp2LWbNm4ZlnnnFs/7Zt2zBv3ryUT0FBAQ4ePNgXl4cgHFFV\n","FWeeeSauv/56/OpXv8Ktt96KJ598Et/97ndx0003YeHChSgpKcG4ceMwfvx4DB8+HD/60Y8sw2wA\n","YPny5XjnnXewatUqXHTRRWhubsYDDzyARYsWmfts2rQJ48ePx/bt2/H222/jkksuwTvvvAMAmDt3\n","LtauXZtS54oVK3DVVVdh+PDhAPQx8Ne//rW5/aOPPsLNN9+MxYsX4w9/+AOeeuopfPWrX8XMmTOx\n","fPly7N27t68vG0EQA8TLL79sGoU2bdpkvtydd9555j40RhEEMVTYsGGD6fWU/Nm9ezcA4N///jc2\n","btzYbfv69evNOo6n9zwnBusdMB6P48477wTHcdi3b1/Gdt5zzz0p73knn3wyzj333J51lhFEHnHe\n","eeex0aNHswMHDphln/vc59iECRPY7NmzGWOMrVq1ii1btszcPnbsWNbU1JRSzwsvvMDOOeccdtpp\n","p7Ff/vKXTNM0xhhjDzzwALvrrrtS9n3zzTeZ1+tlwWCQMcbYgQMHmNvtZlVVVezee+/t+072ggMH\n","DrDPfe5z5t9/+MMf2HvvvccYYywSibDx48ezjz/+uNtxt912G7vhhhsYY4zt37+fjRw5kjU3N7Pa\n","2lr261//mqmqyhhj7NZbb2UrVqxgjDH297//ndXV1THGGItGo+yEE05gH3zwAZNlmY0bN45t3ryZ\n","McbY/fffz6644grGGGPXXHMN++lPf8oYYywcDrMzzzyTffbZZ1n3r7a2llVVVZntIYj+pq2tzXab\n","oigpf995553s1ltvNf8uKChgVVVV7Otf/zrr7OxkV1xxBbviiivY/fffz9asWcNefvlldu+997LF\n","ixez3/3ud4wxxlRVZR0dHbbnNO79Xbt2sS9/+cvm74kxxhYvXsw2bNjA7rvvPvbAAw8wxhj7/e9/\n","z+666y7W2tqaUs/hw4fZPffcwz799NPsLgRBEHnJQw89xHw+HwPA5s2bxxoaGhhjjFVVVaXMlRij\n","MYogiKHNX/7yFzZr1iw2Z84cVlZWxiZPnszmzJnD5syZw7Zv327ud6y+5zmRD++AjDH26KOPslWr\n","VrEJEyawvXv39rgf9957b8pzIxs4xiiQnMgP/vd//xc/+clP8Pjjj+MHP/gB/vWvf8Hj8eCcc87B\n","gw8+aAp4fvzxx+jo6MD8+fMB6LpWl156KdxuN+bOnYvvfOc7tueIRCJgjJlhhA0NDTjzzDMxdepU\n","lJeX4/e//z1qa2uxcOFC7Ny5s/873UNqa2vx9a9/HW+88Ybl9mnTpuGvf/1rNzHBE088EX/9619x\n","8sknAwAuvfRSLF68GJdffnnKfj//+c8RCATw4IMPdjvvOeecg82bN2P//v248cYbsW3bNgBAW1sb\n","xo4di87OTpx88sn485//bJ7/zjvvxMSJE3Httdfid7/7HZ588kkAQGFhIVavXo2KioqU8yxbtgzV\n","1dVYunRpbheIIHrAhRdeiPr6esd9qqur8ec//xn//Oc/8cUvfhE//elPcdtttwHQBY2DwSDC4TD+\n","+c9/phz3i1/8AgsWLMCcOXPMspEjR2Yl6v6jH/0IH374Ia655hpMmzbNLL/jjjtw6aWXYteuXRAE\n","AVdeeWVPuksQxBCjvr4eVVVV+Otf/4qJEyfijjvuwMiRI/Hwww+juroasixj6tSpeOGFF2iMIggi\n","b8lmvhUIBPDnP//Z/Puuu+7C+eefjzPPPNMsGz58OKqqqmzrGOrveU7kwzvgyJEjzfKJEyfitdde\n","w+TJkwEAHR0duOWWW7Bnzx5EIhFccMEFuO+++1LqikajqK6uxrvvvusoAZSOmHkXguh/Nm/ejB/8\n","4Ad4/vnncdJJJ+GLX/wiFi5ciD/+8Y/mPl/+8pctj/3iF79o/v+oUaPM///CF76Aw4cPp+zb0dGB\n","b3/721ixYgU++eQTfOUrX8Htt9+Oq6++Gv/5n/+Jq6++Grfffnvfdm6AePzxxzFt2jTLzBcHDx7E\n","xIkTzb8nTJjQLbtQXV0d1qxZg9deey2l/Nxzz8W7776L1atXY+TIkXj99ddT6iopKYEkSWhsbMTJ\n","J5+M5557DtXV1WhqasILL7yAxYsX46233sKf//xnvPHGG3C5XHj22Wfx/e9/H3/5y1/Mepqbm/Hi\n","iy/iF7/4RZ9cD4LIxMsvv5xxH8YYVq1ahSeffBI7duzANddcA47jcOutt5r7KIrS7ff01a9+FQBS\n","yocPH571BOmKK67oVnbPPfcAAGbPng0AeOGFF3DnnXemtHXnzp3dEle88cYbKCkpyeq8BEHkD5Ik\n","oby8HPPmzYPf78ecOXMQCATM7S+//DImTJhAYxRBEHlNNvOtn//852b4MQBcfPHFAJBSNm3aNNNg\n","dby95zkxUO+ATnz/+9/H2WefjaeeegqapmHRokV48cUXcckll5j7/O53v8OiRYt6ZKwCyGBF5AGa\n","puGBBx4wjVUAcPPNN2PMmDEpwqEXXXQRZFnG3XffjZdeegmCIEDTNEiShG9/+9u49tprU+pNX00E\n","9HSnwWAQTU1N+MpXvoIHH3zQjHt+/vnn8ZOf/AQtLS3919kc2bhxI2677TbEYjHs378f8+bNQ2Fh\n","IV599VUAwKuvvoqnnnoKGzZssDxe07SUDBuiKELTNPPv9vZ2XHbZZXj88cdTBjVAjzc/dOgQzj//\n","fJxwwgnd6kqu71e/+hVuueUWnHrqqaisrMRZZ52F8vJy/OMf/8Ann3xiirIqimKufhg8+uij+OY3\n","vwm3253zdSKInqJpGu6//34899xzpqinpmm4+uqrcf311+OSSy7B2LFjsWHDBpSUlODVV1/FDTfc\n","kBK3X1RUhFtvvRWyLOOJJ57Ayy+/jObmZni9XlRVVeF73/sepkyZYu5fV1eHFStWYO/evRBFEYwx\n","lJWV4Z577jFf9AD9d33LLbd0a3NjYyNuu+023HrrrfiP//gPszwajWLUqFHYvn17P1wpgiAGmhEj\n","RuCOO+7A6aefDsYYJk+ejN/97nfmdk3T8IUvfIHGKIIg8h7GGB588EH85S9/Ac/zZtmSJUvwve99\n","DytWrMA999yDZ5991vL49evXpxhNjqX3PCfy6R2wpqbGtp3/+Mc/8OGHH2LVqlUAdOPhgQMHzO2q\n","quKRRx7JynjZjR4HHhLEAPO5z32Ovfvuu4wxXcvhi1/8IotEIub2w4cPswkTJpiaSgYTJkxg1dXV\n","7JRTTkn5rFq1ijHGzHjndA4cOMCqqqr6qTe9Iz1+mTHGNm7cyE4++WRT18KKiooKtmfPHvPvyy+/\n","nD399NOMMcY6OzvZmWeeyf785z87nnvZsmXsF7/4BXv99dfZ6aefbpaHQiHm8XhYPB7vdsyFF17I\n","tm3bxn7wgx+w+++/37buUCjEKisru2lcEER/8/TTT7Nzzz2XhcNhs6ytrY3NmDGDvfTSS6yzs9P2\n","2IKCgpS/b7rpJva1r32NffbZZ0zTNBYOh9nf/vY3Nnz4cBYKhcz9Pve5z5njkMHrr7/ORo0alVWb\n","77rrLlMfJplIJMKKi4uzqoMgiKGNoWFFYxRBEEOBP/7xj+zMM880taQYY6yjo4PNnTuXvfDCC47H\n","Tp06lR06dCil7Fh8z3MiH94Bk0nXsBo+fDg7evSobR3PPvssW7JkieN57KAsgcSQYuzYsTh8+DA+\n","+eQTRKNRBINBfPjhh5BlGeXl5d32VxSl28dY2eM4boBb3/ds3rwZ3/nOd/DCCy+khEMqioLzzjsP\n","e/bsAQAsWrQITz/9NABdE2PDhg244IILEIlEsGjRInz961/vlj3j0UcfRXt7OwAgGAxiw4YNmDVr\n","Fk4//XR8+umn2LVrFwDg6aefxuc//3lIkmTuDwBr166FLMuYNWsWLr74Yvz3f/+3mRI7FAph69at\n","5r5PPfUULr30UgoJIAac0aNH4+jRo9i1axcikQhCoRB27NiBjo4OjBgxwjbblhWCIIDjOKiqCkVR\n","IMsyAJgriQZjxozBrl278Nlnn0GWZTQ1NWHr1q1mplOCIIhsoTGKIIihwKhRo9DY2IidO3ciEokg\n","HA7jww8/REtLS8ZwMzuO9fc8JwbjHdCJL3zhC/jlL39p/v3RRx+ZWQcBXTfR0FfsKSS6Tgw5/vGP\n","f+CPf/wjDh06BFEUMXXqVFx//fUpburHC3PnzkUgEEgZqP7f//t/uOCCC1BZWYm///3vqKmpQWtr\n","K77xjW/gs88+AwDcfffdWLhwIR599FH88Ic/TNGTOOWUU/DEE0/gT3/6E379619D0zTIsowlS5Zg\n","+fLlAIDXXnsNK1euBKA/gFavXo1Ro0bhj3/8I37xi19AFEVUVlbisccew4gRIwAAv/3tb/Hoo49C\n","kiQwxnD77bfjP/7jP6AoCqZPn47XX38d48aNG6hLRxAmL7/8Mn7/+9/j4MGD4DgOkyZNwtKlS3HG\n","GWf0qB5FUfDkk0/ilVdeQVNTE3w+H6qrq3HjjTdi0qRJ5n6RSASPPfYYNmzYgKamJpSUlKCmpgY3\n","3XSTmRqeIAiir6ExiiCIwWT9+vV4+umnTQ2lSZMm4Vvf+hbOOuuswW3YEGSw3gEN0kXX29racMst\n","t+CDDz4w9ReffvppjBgxAq+99hoeeughvPTSSzn1lQxWBEEQBEEQBEEQBEEQRF5BIYEEQRAEQRAE\n","QRAEQRBEXkEGK4IgCIIgCIIgCIIgCCKvIIMVQRAEQRAEQRAEQRAEkVeQwYogCIIgCIIgCIIgCILI\n","K8hgRRAEQRAEQRAEQRAEQeQVZLAiCIIgCIIgCIIgCIIg8goyWBEEQRAEQRAEQRAEQRB5BRmsCIIg\n","CIIgCIIgCIIgiLyCDFYEQRAEQRAEQRAEQRBEXkEGK4IgCIIgCIIgCIIgCCKvIIMVQRAEQRAEQRAE\n","QRAEkVeQwYogCIIgCIIgCIIgCILIK/4/6cGsJ+IAM6oAAAAASUVORK5CYII=\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-2225579e-7503-4cdd-83ee-76ad78f4d579\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-2225579e-7503-4cdd-83ee-76ad78f4d579\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["<google.colab._quickchart_helpers.SectionTitle at 0x7c778245ccd0>"],"text/html":["<h4 class=\"colab-quickchart-section-title\">Values</h4>\n","<style>\n","  .colab-quickchart-section-title {\n","      clear: both;\n","  }\n","</style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def value_plot(df, y, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[y].plot(kind='line', figsize=(8 * figscale, 4 * figscale), title=y)\n","  plt.gca().spines[['top', 'right']].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = value_plot(_df_5, *['사용일자'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-ae4dd36b-3c16-458d-a0d7-35079f455faf\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYwAAADECAYAAACMRRb/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAAhNUlEQVR4nO3de1xUdf4/8BcIopiAimF4GcTERJLLICKtJpnGKqxrmqJtpVZm\n","mmlGrrreMfHyMDdNt01cdVfNytW8lYkbaZaKxeomSuUFLyOFiKLcBph5//7w13wduTjMOTMM8Ho+\n","HjwezplzPrzmePT1OOfMOcdJRARERET34VzbAYiIqG5gYRARkUVYGEREZBEWBhERWYSFQUREFmFh\n","EBGRRVgYRERkERYGERFZhIVBREQWYWEQEZFFWBjUII0bNw7jx483m7Zv3z74+fmZTTty5AhGjhwJ\n","X19ftG7dGi1atEDXrl3x5ptv4saNG2bznjlzBjExMfD09MQjjzyC5ORks/ednJyQmZlZZaa779IT\n","Hx+PefPmWffhiGyEhUENVpMmTap9Pzs7G9HR0QgLC0NmZiauXbuGGzduYNeuXfjhhx/w3HPPmea9\n","desW+vfvjyeffBJXr17FP//5T8ydOxcff/xxpWNPmDABXl5e8PLyQsuWLeHh4QFfX19VPx+R2lgY\n","1CBlZ2ejffv2Fs3r4+NjVi6enp7w8vIy2yNITU1FkyZNkJCQgGbNmiEiIgKTJk3Cpk2bKh1zzZo1\n","uHnzJm7evIm8vDxMnDgRERERyj4UkY2xMKhBSk9Ph6ura7XzPPTQQzh8+DBef/11dOjQAR07doSf\n","nx/8/PyQn59vVgZOTk4Vlrf0RtDl5eXYunUrnn322Zp9CCI7Y2FQg3P8+HFcvXoVa9euve9/6uHh\n","4fDy8sKGDRtw4cIFZGVl4Q9/+AN69OiBFi1amOaLjo6GXq/H0qVLUVBQgGPHjmHlypV4/vnn75tn\n","1apVMBgMGDZsmNn0BQsWwMXFBRMnTrTugxKpzOEL46effkJcXBzCw8MRHByMhQsXVjpfYWEhRowY\n","gW7duqFbt27Ys2cPAKC0tBSzZs1CSEgIIiIi8NRTTyEnJwcAcPjwYfTp0wdarRZhYWF4++23TeMd\n","OXIEoaGhePTRRxETE2NaJjc3F8888wzCw8MRGhpa5SGH36SnpyMyMtLsp1mzZrh48aIaq4eskJiY\n","iDZt2uDs2bP4+9//bvbexYsX4eLiggceeABTpkzBlClTkJeXh+TkZCQkJCAhIQEnTpxASkqK6f1N\n","mzahefPmOHDgAA4ePAiNRoMXX3wRixYtqlAC90pNTcXSpUvRvHlzrFmzxuy9OXPmoLy8HKtXr1Z9\n","HRBZw6W2A9wrKysLo0ePxldffQUASEtLw/z58xEWFoaSkhIEBATgmWeeQZcuXcyWW7BgAby9vZGR\n","kYHz588jKioKp0+fxu3bt+Hj44P09HQ4OzvjrbfewooVK5CUlITr169j8+bNaN++PfR6PQIDAxEX\n","F4fAwEAMHz4c//73vxEREYGlS5diypQp2LJlCxISEhASEoJPPvkExcXFGDBgAKKjo9G2bdtKP09Y\n","WBiOHj1qen3x4kUMGjTI4uPnpK6PPvoIu3fvxvbt25GXl4fXX38dYWFhpvMHGo0GWVlZ2LBhg2mZ\n","lStXmo0RFBRk9lqj0QAAunTpgr1791b5u+/dm/nqq68wfPhwbN++HR06dEBkZCTKy8sxZcoUBZ+Q\n","yHYcrjDu9ac//cn05yZNmsDd3R1lZWUV5tuxYwe2bdsGAPD390evXr2wf/9+xMfHY9KkSab5WrVq\n","hdzcXADA4MGDTdOzs7NhMBjg4+ODtLQ0tG7d2vSfyLhx49C2bVsYjUZ89913SEhIAAA0bdoU0dHR\n","+OKLLzB27Fhs2LABH3zwAQCgefPmWLt2LTp06GCW85133sHkyZPh7OzwO3f1zueff46xY8ciMTER\n","Q4YMAQBcuXIFAwcOxNatW83mHT16NADg2rVrWL58Ob766ivk5OTA2dkZfn5+iIuLw6uvvorGjRub\n","Lbd48WIsXry40t+fn5+PM2fOoH379pg5cyY2b96MLVu2oHfv3gCAAwcOYODAgRaf+yCyO3EwFy5c\n","kMcff7zS91avXi2DBw+u9L3GjRtLfn6+6fXkyZMlKSnJbJ6LFy9Kp06d5MKFC2bT+/btK82aNZMt\n","W7aIiMiWLVtkyJAhZvN4enpKdna2jBw5UubPny8iIjk5ORIcHCyLFi2Sw4cPy1NPPSV6vV5ERLZu\n","3SrDhg0zGyM3N1c6deokJSUl1a4DUl9ZWZlERUXJ+++/X+G9lJQU2bFjh3z++eei0WhM02/duiWd\n","O3eW5557TjIyMqSsrEwKCwslNTVVtFqtDB06tEYZGjVqJGfOnJGSkhJJTEyUy5cvV5jn2rVrUlpa\n","KiNGjJC5c+fW9GMS2ZTD7GEcOnQI06ZNg16vx7lz5xAZGYnmzZsjJSUFAJCSkoJ169YhNTW10uWN\n","RiMaNWpkeu3i4gKj0Wh6nZ+fj6FDh2LNmjUVLs5KTU3F5cuX0b9/f/j7+1cY6+7xVqxYgTfeeAM9\n","evRAx44d0bt3b3h7e2Pnzp346aef0KdPHwB3vvni7u5uNsZ7772HF198EW5ublavJ7KOi4sLvvnm\n","m0rfe/LJJwHcuXDvbunp6fj5559x8uRJNG3a1DRO3759MW/ePDz99NMVxpo3bx6WLFkCT0/PCu95\n","e3vDxcUFbm5umDVrVqVZvL29a/S5iOzJYQqjT58+OHr0aIVzGADw9ddfIyEhAV988QU8PDwqXd7X\n","1xc6nQ4BAQEAAJ1OZzrWXFBQgNjYWCQkJGDAgAGVLt++fXvExMTg0KFDCA8Ph06nM71XVFSEwsJC\n","tG7dGq6urtiyZYvpvZiYGIwdOxY///wzxo8fj2nTplU6flFRETZu3Ij09PQarReqPWFhYejUqRMm\n","TJiAadOmoXPnzigrK0NaWhoSExMRGxtb6XIGgwElJSWVvpeamoqHH37YlrGJbKe2d3Hude8hqaNH\n","j0pgYKBkZWWZzVdWVibR0dGSmZkpIiITJ06U6dOni4jIlStXxMfHR3Q6nRQVFUnfvn0lOTm5wu9a\n","tWqV3Lx5U0REbt++Ld27d5eUlBQpLi4WHx8fOXXqlIiIvPfeexIbGysiYppfRGTTpk3yxBNPiIjI\n","l19+KYGBgZKbmysiIgUFBXL8+HHTvCtXrpSpU6cqWjdkf7/88ou88cYb0r17d/H29hYfHx+JioqS\n","ZcuW8dAiNTgOVxj30mq1otFopGfPnqafnTt3SnFxsbRp00aOHj0qIiJ5eXkyePBg0Wq1otVqZffu\n","3SJypxTc3d3Nlh83bpyI3DlXERkZKRERERIaGirLly83/d6UlBQJDw+X8PBwiY2NlezsbBER2bx5\n","swQHB4tWq5Vhw4bJr7/+alpm3bp1EhoaKhEREdKjRw/ZuXOniNwpt86dO1d6zJqIqK5wEuFXMoiI\n","6P743U4iIrIIC4OIiCzCwiAiIos4RGG8++67tR2BiIjuwyEKgzfiIyJyfA5RGERE5PhqVBjl5eWY\n","PHkyHn30UURGRqJfv37IzMyEwWDAxIkTERgYiK5du2LdunW2yktERLWkRrcGKS0tRUhIiOmcw9q1\n","azFz5kz0798fFy9eREZGBm7cuIHQ0FBERUWha9euNglNRET2V6PCcHd3x5gxYwDcuV/O2bNn4e/v\n","jx07duC1116Dk5MTWrZsiaeffho7d+5kYRAR2YjfdPNnr2QtHmTz32nVzQd37NiBV155BQEBAdi3\n","bx+0Wq3ZHWA1Gg0yMzMrXVav10Ov15tNMxgM1sQgImpQrt4sRtTiL2vt91t10nvIkCH45ZdfEBsb\n","i5EjR9731uJ3S0pKgqenp9lPWlqademJiBoAv+l74Td9b62WBaDgW1LOzs4YP348vvzyS9OtxX+j\n","0+ng6+tb6XIzZsxAfn6+2c9vT7YjIqI7/vDeYVNRVCdr8SC7HI4CanhI6tixY7h9+7bpgTO7d+9G\n","aGgo4uLisH79egwYMAC3bt3CJ598go8++qjSMdzc3Co8QOjehxURETUkF3ILcfT8dUR3eRCRSf+5\n","7/zbxvdCuF9LOyQzV6PC6NSpE6ZMmYI///nPcHV1haenJzZu3Ih27dph/PjxCAsLA3BnL0Kr1dok\n","MBFRfSAiGL3+OA7+dM3iZey1J1GVGhWGt7c3Nm3aVOl769evVyUQEVF9dib7Fn7/7tcWz79yZCj+\n","EFz5IX57c5hHtBIR1VflBiOGvX8EJy7ftHiZ4395Eq2bu91/RjtiYRAR2UjahTwM//uRGi1zftFA\n","ODs72SiRMiwMIiIVFZWWI3bVYZy/VmjxMmMf64g5cYE2TKUOFgYRkUIigv2nf8Ur//q+RsvtmBCF\n","0A4tbJRKfSwMIiIrXbutR8xfD+F6YWmNljuzIAZNG9e9ywlYGERENVBuMGLb91cwffsPNVrOv3Uz\n","/Gfq43BycszzE5ZgYRAR3YeIYOaOH/Bh2uUaL/v2kCA821Njg1T2x8IgIqrCKV0+YlcdtmrZr6dF\n","o31Ld5UT1S4WBhHRXQxGwXPrjuHbc9etWv7s27+HS6P6+TBTFgYREYCvfszB6PXHrVo2LtgXq0aG\n","qpzI8bAwiKjBKiotR/93DkF3s9iq5TeOjcDjAa1VTuW4WBhE1OB8mHYJM2r4Lae7/Xd2f7Ro1ljF\n","RHUDC4OIGoScWyWIWHT/W4dXx5Fv22EPLAwiqreMRsGy/T/ib1+dUzRObd9W3FGwMIio3vki45ca\n","36bjXifnDoBnU1eVEtUPLAwiqhd+yS+x6Gl11Qlp74VPJz6mUqL6h4VBRHWWiODNT05ie7pO0Tg8\n","5GQZFgYR1Tk//3ob/VccUjTGsZn94OPRRKVEDQMLg4jqBINREP/BERzPumH1GE1dG+FMYoyKqRoW\n","FgYRObRvz+Vi1Npjisa4kDSwTt8l1lGwMIjI4RTqy9Ft7heKxtgz6XcIauupUiICWBhE5CBEBB+m\n","XcbMHdZfgQ3wBLYtsTCIqFap8XXYc4sGolEDvgLbXlgYRGR3BqOg08zPFI3xbnwIBoe0VSkRWYKF\n","QUR2811WHoa9f0TRGDzkVHtYGERkU2qcwD6zIAZNGzdSKRFZi4VBRKoTESzYcxrrv8myeoz4Hu2x\n","eGh39UKRYiwMIlJN5i+3EPPXrxWNwWsmHBcLg4gUUeOQ0+E/R6NdC3eVEpGtsDCIqMaMRsHGI1mY\n","v/u01WO4ODvh7KKBKqYiW2NhEJHFTunyEbvqsKIxGvpT6+oyFgYRVSuvsBRPvnMQeYWlVo+xYUwP\n","9O3yoIqpqDawMIioAn25AR8eu4R5Cg45Abxmor5hYRARgDtfhT12IQ/xHxxVNE5mYgyauPKaifqo\n","RoVRWlqKBQsWYM+ePWjcuDFatGiBf/3rX2jWrBnGjh2LU6dOAQCWLFmC2NhYmwQmInVdvF6IhE9O\n","KnrOxMu9O+IvgwJVTEWOqEaFkZ2dDR8fH6Snp8PZ2RlvvfUWVqxYAaPRCG9vb2RkZOD8+fOIiorC\n","6dOn0bJlS1vlJiIF8ovKsPX4JSR9nqloHF4z0bDUqDA0Gg0mTZpket2qVSvk5uZi165d2LZtGwDA\n","398fvXr1wv79+xEfH19hDL1eD71ebzbNYDBYk52IasBoFBw+m4vn/5GmaJyvp0WjfUteM9EQWX0O\n","49KlS0hOTsaBAwewatUq+Pn5md7TaDTIysqqdLmkpCTMnz/fbFpkZKS1MYjoPq7eLMbizzOx6+RV\n","RePwBDZZVRj5+fkYOnQo1qxZAz8/PxiNRjRq9H8nuVxcXGA0GitddsaMGZg6darZtNmzZ1sTg4iq\n","UFpuxOensjF56wlF45x9+/dwaeSsTiiq82pcGAUFBYiNjUVCQgIGDBgAAPD19YVOp0NAQAAAQKfT\n","ISgoqNLl3dzc4ObmZjbt7rIhIuudzbmNJ985pGiMxD8G4blIjUqJqD6pUWEUFxcjLi4Oo0ePxogR\n","I0zT4+LisH79eiQlJUGn0yE1NRXLly9XPSwRVVSoL8eGb7Ow7IsfFY3DE9h0PzUqjHXr1iEtLQ3F\n","xcVYu3YtACA4OBiLFy/GmDFjEB4eDgBITk6Gr6+v+mmJCMCdaybSL93E0L99q2icE3P6w8u9sUqp\n","qL5zEhGp7RBTp07FO++8U9sxiBxeXmEpRq09isxfbisaZ3CIL/46IoR7FFQjvNKbyMEZjYL9p3/F\n","+E3fKx7rn2Mj0CegtQqpqCFiYRA5qKs3ixG1+EvF48yJDcSYx/y4N0GKsTCIHEhpuRGLPjuDDd9m\n","KRpnZEQHzI7tCvfG/CdO6uHWROQA1Hi0aeBDHlj7QjjaejVVKRWRORYGUS1R49GmALBtfC+E+/G+\n","bWR7LAwiOxIRbE/X4c1PTioaZ+mw7nhG247nJciuWBhEdnC9QA/twgOKxuj3yINY/WwYnzVBtYaF\n","QWQjRqPAf+ZnisdJ+0s/PNi8iQqJiJRhYRCp7Icr+Yh777CiMbZPiEJYhxYqJSJSBwuDSAWl5UYE\n","zPpc0RiPB7TGhjE9eF6CHBYLg0iBmL8eUnybjh8XxsDNheclyPGxMIhq6NptPXq8rewE9p5Jv0NQ\n","W0+VEhHZBwuDyAIigo4zlJ/A5lPrqC5jYRBVY96uDMW36fj57d/DlU+to3qAhUF0j5IyAx6ZvU/R\n","GO8MD8bTYe1USkTkGFgYRP+f3/S9isfgISeqz1gY1KBtTbuE6dt/UDRG2sx+eNCDF9ZR/cfCoAbH\n","YBR0UngFdnA7T+x87XcqJSKqG1gY1GCoccjp3KKBaOTMC+uoYWJhUL128KdreOEfaYrGWDUyFHHB\n","violIqq7WBhU76h10z+ewCYyx8KgekONQ05HZ/RDG0+ewCaqDAuD6rSTl29i8OpvFI0R1NYDeyb1\n","VikRUf3FwqA6R63bdPAENlHNsDCozlDjkNOyYd3xTHh7FdIQNTwsDHJoZ3MK8OQ7BxWPwxPYRMqx\n","MMjhqHXIKTWhLzp6N1MhEREBLAxyIGoccvJs6oqTcweokIaI7sXCoFp19WYxohZ/qXicMwti0LQx\n","n1pHZEssDKoVauxNvP7Ew5g6oIsKaYjIEiwMspuQBftxs6hM8TjnFw2EM78OS2R3LAyyqesFemgX\n","Knv+NQBseaknoh72ViEREVmLhUE2ocYhJ4BfhyVyJDUqjIKCArzxxhtITk5GWVkZXFxcUFhYiLFj\n","x+LUqVMAgCVLliA2NtYmYcmxRSX9B1fzSxSP8/W0aLRv6a5CIiJSU40KY9myZYiJiUFycrJp2oIF\n","C+Dt7Y2MjAycP38eUVFROH36NFq2bKl6WHI8N4tKEbIgRZWxuDdB5NhqVBjz58+vMG3Hjh3Ytm0b\n","AMDf3x+9evXC/v37ER8fr05CckhqHXI6OWcAPN1dVRmLiGxL8TmMixcvws/Pz/Rao9EgKyuryvn1\n","ej30er3ZNIPBoDQG2cHR89cR/8FRxeO0bNYY6bP7q5CIiOxJcWEYjUY0avR/F0y5uLjAaDRWOX9S\n","UlKFPZXIyEilMchG1LpNBwBkJsagiSsvriOqqxQXhq+vL3Q6HQICAgAAOp0OQUFBVc4/Y8YMTJ06\n","1Wza7NmzlcYglY384CiOnL+ueJwv33wc/q0fUCEREdU2xYURFxeH9evXIykpCTqdDqmpqVi+fHmV\n","87u5ucHNzc1s2t17KFR7bpWUofu8/YrHWTqsO4bzFuJE9Y7iwkhMTMSYMWMQHh4OAEhOToavr6/i\n","YGQ/ap3AvpA0EE5OvAKbqL6yqjBExPTnFi1a4NNPP1UrD9nJPw5fwII9pxWPc2r+U3jAjdd/EjUE\n","/JfegOjLDegya5/icRYM7obne/kpD0REdQoLowHgISciUgMLo57a9v0VJHxyUvE4B9/qC00rPrWO\n","iFgY9UqZwYjOf/lclbF4mw4iuhcLox5Q65ATL6wjouqwMOqo5K/PY+HeM4rH2TCmB/p2eVCFRERU\n","37Ew6hiewCai2sLCqAOKSssROOcLxeN8O/0J+Ho1VSERETVELAwHNuvTH7Dp6CVFY/Tu7I1/vdhT\n","pURE1JCxMByMWneH5QlsIlIbC8NBvHvgZ6w48JOiMRb+MQh/itSolIiIyBwLoxaVlhsRMEv5dRM8\n","gU1E9sDCqAVqfNPpw5cj0atTKxXSEBFZhoVhJ7kFeoQvPKBojOXPBGOotp1KiYiIaoaFYWNK9yae\n","76XBgsFVP8GQiMheWBg2cOD0r3jpn99ZvXyzxo1wYu4AuDZyVjEVEZEyLAyVGI0C/5nKvg6bNrMf\n","HvRoolIiIiJ1sTAUUnrIacvLPRHVyVulNEREtsPCsEKhvhzd5lp/q45Zg7ripd7+KiYiIrI9FkYN\n","KNmb6N7OE59OeAzOzrxegojqJhbGfby99zTWfn3B6uVPzOkPL/fGKiYiIqodLIxKKD2Bvff136Gb\n","r6eKiYiIah8L4y5KDjnNjQvEmMc6qpiGiMixNPjCuFFYitDEFKuX532ciKihaLCFoWRvImP+U2jm\n","1mBXHRE1UA3qf72XNh7HgTM5Vi3L8xJE1NDV+8IoNxjx8F+su4V4q2aN8f3s/ionIiKqm+ptYSg5\n","5MTzEkREFdXLwliderbGy3w/60m0esDNBmmIiOqHelUYNX0edhuPJjg6s58NExER1R/1pjDOXStA\n","v+UHLZo3a/EgG6chIqp/6nxhlJQZ8Mjsffed7/Cfo9GuhbsdEhER1U91ujCKSssROKf6u8Zyb4KI\n","SB11vDAMlU7nt5yIiNSn2jNAd+3ahW7duqFbt26Ij49HUVGRWkNXyfsBN8wc+AgAYNmw7shaPAhZ\n","iwexLIiIbECVwsjNzcXLL7+MPXv2ICMjAy1btsTChQvVGPq+xvXphKzFg/BMeHu7/D4iooZKlcLY\n","v38/HnvsMXTseOdura+88gq2b99e6bx6vR63bt0y+zEYKj+0REREjkOVwrh48SL8/PxMrzUaDbKy\n","siqdNykpCZ6enmY/aWlpasQgIiIbUqUwjEYjGjVqZHrt4uICo9FY6bwzZsxAfn6+2U9ERIQaMYiI\n","yIZU+ZaUr68vMjIyTK91Oh18fX0rndfNzQ1ubua34Lh8+TKmTp1a6fwGgwFpaWmIiIgwKyVHx9z2\n","xdz2xdz2ZevcGo0GkydPvu98TiIiSn+ZTqdDeHg40tPT8dBDD+Gtt95CSUkJVq1apXRo3Lp1C56e\n","nsjPz4eHh4fi8eyFue2Lue2Lue3LUXKrsofRtm1bLF++HAMHDoSLiwu6dOmCv/3tb2oMTUREDkK1\n","C/dGjRqFUaNGqTUcERE5GNUu3CMiovrN4QvDzc0Nc+fOrXCi3NExt30xt30xt305Sm5VTnoTEVH9\n","5/B7GERE5BhYGEREZBEWBhERWYSFQUREFnHowqiNZ2xUp7S0FLNmzUJISAgiIiLw1FNPIScnBxs2\n","bEC7du0QGRlp+rly5QoA4MiRIwgNDcWjjz6KmJgY5OTkALhzqf/EiRMRGBiIrl27Yt26dTbN7ufn\n","Z5Zv3rx51WZwhNzJyclmmXv06IGOHTs65PouKCjAyy+/DCcnJ5SXlwMACgsLMWLECNM2vGfPHtP8\n","VW3b1iyjdu7jx48jOjoaPXv2RHBwMJKTk03zV7YdAdWv36r+TtTOrfZ2Ya/cd+eNjIzEQw89hI0b\n","NwJwnPVtIg7q2rVr8uCDD8r58+dFROTVV1+VGTNm1GqmrKwsWblypRgMBhERSUhIkOnTp8v69etl\n","7ty5FeYvKyuTdu3aybFjx0REZMmSJTJy5EgREVmzZo0MGjRIjEajXL9+XTp06CCnT5+2WXaNRlNh\n","WlUZHCn33TZv3iwvvfSSQ67vOXPmyLZt2wSAlJWViYjItGnTZMKECSIicu7cOfHx8ZHr169Xu21b\n","s4zauVevXi1nz54VkTv/Dh944AEpKCgQkcq3IxHrtiW1c6u5Xdgz990MBoN069ZNsrKyRMRx1vdv\n","HLYwNm/eLEOGDDG9PnHihHTp0qUWE1WUlJQkb775pqxfv17at28voaGh0rt3b/nwww9FROSbb76R\n","0NBQ0/w3btwQd3d3MRgM0r9/f9m5c6fpvSlTpkhSUpLNsnbs2FEiIyOle/fu8tJLL0l2dnaVGRwp\n","991CQ0MlMzPTodf33f8RdO7cWU6ePGl6749//KN8+OGH1W7b1iyjdu676fV6adGihdy4cUNEKt+O\n","RMSqbUnt3GpuF/bMfbft27fLqFGjTK8dbX077DO9a/KMjdpw6dIlJCcn48CBA2jTpg1eeOEFODk5\n","4dSpUxg4cCBat26NnJwcs8/g5eUFV1dX5OTkVPr5MjMzbZb31KlTcHd3h16vx7x58zB8+HD8+uuv\n","lWbQaDQOk/s3+/btg0ajQZcuXaDRaBx+fQNVb8MiUuW2bc0ytjRr1iw8//zz8PLyAlD5dnTo0KEq\n","129121KbNm1UzRofH6/admHP3HdbunQp3n//fdNrR1vfDlsYNXnGhr3l5+dj6NChWLNmjdlfDgAE\n","BQXhlVdewd69e6HVaivcivi3z2Hvz+fu7g7gzhWjiYmJ8PDwgI+PT6UZ7s1Wm7l/s2TJEixatAgA\n","0KRJE9N0R13fQNXbsIhUmcWaZWxlw4YN+O9//4vPPvvMNK2y7Sg/P7/K3NVtS2pTc7uwZ+7fHDx4\n","EB4eHggODjZNc7T17bAnvX19faHT6Uyvq3vGhj0VFBQgNjYWCQkJGDBgQKXzGI1GeHh4VPgMRUVF\n","KCwsROvWrWv987m4uFSZwdFyp6WlwWAwoFevXpW+76jr29L1e3cWa5axhY8//hjJycnYsWMHXF1d\n","q5zPxcUF7u7uVm1LtqZku6iN3EuWLMG0adOqnafW17cqB7Zs4MqVK9KmTRu5evWqiNw5wfzaa6/V\n","aqaioiLp27evJCcnm03fsmWLFBcXi8id3P7+/pKRkSHFxcXi4+Mjp06dEhGR9957T2JjY0VEZNmy\n","ZRIfHy8iIvn5+dKpUyf57rvvbJL7f//7nxw/ftz0OjExUUaNGlVlBkfJ/Zunn35adu3aZXrtyOsb\n","dx2bnjhxokyfPt2U08fHR3Q6XbXbtjXLqJ37008/Fa1WK3l5eWbzVLUdiVS9fqv7O1E7t5rbhT1z\n","i4icPHlStFqt2TwOub5VG8kGNm/eLCEhIRIeHi7PPvus3Lp1q1bzrFq1Stzd3aVnz56mn3HjxsmK\n","FSuke/fuotVqJTg4WHbv3m1aJiUlRcLDwyU8PFxiY2NNJ61KSkpk9OjREhoaKqGhoRVKSE3nz5+X\n","mJgYCQkJkaCgIHnhhRfk5s2b1WZwhNwiIj/++KMEBQWJ0Wg0TXPk9X33fwR5eXkyePBg0Wq1otVq\n","zXJWtW1bs4zauVu1aiUBAQFm23laWlqV25FI9eu3qr8TtXOrvV3YK7eIyLPPPitbt241m8cR1zdv\n","PkhERBZx2HMYRETkWFgYRERkERYGERFZhIVBREQWYWEQEZFFWBhERGQRFgYREVmEhUFERBZhYRAR\n","kUVYGEREZBEWBhERWYSFQUREFvl/TAnHXqEoz2wAAAAASUVORK5CYII=\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-ae4dd36b-3c16-458d-a0d7-35079f455faf\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-ae4dd36b-3c16-458d-a0d7-35079f455faf\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def value_plot(df, y, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[y].plot(kind='line', figsize=(8 * figscale, 4 * figscale), title=y)\n","  plt.gca().spines[['top', 'right']].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = value_plot(_df_6, *['승차총승객수'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-10938c84-563e-4653-969f-d93ce5a1d7cf\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYwAAADECAYAAACMRRb/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAAwkUlEQVR4nO3deXgT1f4/8Pdk6ZJCNygtYWlLhYIttLUIrVxZFAtiK4r3Jyjq\n","RQGruFysqKBwXVC44CP+/CLgUkVR4OKGVFQEtSLXL6tstiwKtS2GLkA32qZZZs73jyTTydI2DU2T\n","tJ/X8+RJ5sw5M59J03wyM2fOcIwxBkIIIaQNMk8HQAghxDdQwiCEEOIUShiEEEKcQgmDEEKIUyhh\n","EEIIcQolDEIIIU6hhEEIIcQplDAIIYQ4hRIGIT7E9jpbjUaDpqYmD0VDuhtKGKTbeeqpp3DLLbc4\n","nLdhwwYoFArx8f7774vzFi9ejHvuucdhu3vvvRc9evQQH7NmzWozDkEQEBkZiU8//dTh/E2bNiE0\n","NBRhYWHo06cPFAoFtm3bhhdeeAEPPfQQAGDcuHHYt2+fw/YVFRXgOA6nT59uMxZCnEEJg3Qrf/75\n","p5gEjEaj1Ty9Xo9p06ahpqZGfEybNs2untTBgwfRv39/5OfnIzQ0FKGhoQgPD8ePP/6IIUOGoLGx\n","scW2q1evRmVlJQwGg8P5d999N2pqalBdXY2SkhLI5XIMHTrU6W1dvXo1FAoFevTo4XQbQlpDCYN0\n","C4Ig4L333sOYMWOwcOFChIeHY/To0fjmm2/A8zwA4K233kJycjKSk5ORkpKC5ORkhIWF4eLFiy0u\n","d+TIkThz5gzOnDmDs2fPorCwEPPmzQMArFu3DiqVyq5NRUUFsrOz8frrr2PLli3iHsMff/zR4no2\n","btyI2NhYpxIGYwwrVqzAO++8g9mzZ2P8+PHYs2dPm+0IaRMjpIt75plnWFRUFLv55pvZ4cOHxfJv\n","v/2W3XDDDSwyMpK99tprdu02bNjAEhMTxennnnuOzZw5066ewWBgu3fvZk888QSLiopi/v7+7J57\n","7mG7d+9mWq1WrKfRaNiNN97IIiMj2TPPPMNqa2sZY4w1NjayZcuWsejoaJaYmMhOnDhhtfyysjIW\n","Hh7ONm3axBhj7Pnnn2d+fn4sJCSEyWQylp+fzxhjrLKykq1Zs4YlJSWx9PR09vvvvzPGGPv8889Z\n","//792fXXX8/WrFnDqqurXXsjSbdHCYN0eWfPnmXl5eUtzq+qqrL7Eq2trWVxcXFs8+bNYtlzzz3H\n","OI5jcrmcZWRkMMYYmzx5MouIiGDjxo1jb7zxBjt+/DgrKSlha9asYRkZGSwsLIx99dVX4jIOHTrE\n","mpqaWoylqKjIavrPP/9k8fHxbM6cOWLZ888/z7KzsxljjMXFxYkJY/fu3eyuu+5iO3bssFuuTqdj\n","mzdvZo899lir6yekNQpP7+EQ4k4zZsxAeXm5U3WHDx+O1atXg+d53HvvvTh79iyCgoKs6tx99934\n","+OOPxektW7YgODhYnE5LS8OsWbMwb948zJs3D0ajEXK5HEePHsX8+fOdjvuJJ57Ar7/+irVr12Lu\n","3Ll45ZVX2mwzduxYjB071uE8Pz8/zJgxAzNmzHA6BkJsUcIgXdpLL70EvV7vVN2goCDU19dj+vTp\n","qKurw4YNGzBz5kx8/vnnuOmmm6zqlpaWYsSIEXbLqK+vx/Hjx7Fw4UKr8qeeegpvvvmm03H369cP\n","J0+exJ49ezBs2DCreb179xZfx8XFQaVSYePGjcjOznZ6+fX19U7XJcSCY4xuoES6vqqqKrz99tv4\n","7rvvUFZWBrlcjn79+mHq1KmYPXs2AgMDsW3bNjz55JNITU3FBx98gMDAQGzZsgWzZ8/Gm2++iTNn\n","zqC4uNhqD8MVBw8exNtvv43jx4/j0qVLCA0NxdChQzFnzhxMmDDBrn5MTEyre0k7d+50uGdx6tQp\n","DBs2DFqtFgEBAVcUMyEA9ZIi3YBOp0NaWhqOHTuGNWvWoKCgAEeOHMGyZcvwxRdfIDMzE0ajETt2\n","7BB7LgUGBgIApk+fjv/+97+47bbbWlz+hx9+iBtvvBFxcXGIi4vDwIEDMXToUDzxxBOorq62qrtr\n","1y6MGzcOqamp+Oabb/DHH3/ghx9+wC233IJp06bho48+slt+cXExmpqaHD5CQ0MhCEKHvl+EtMjT\n","J1EIcbejR48yAOzcuXN28/bs2cMAsPr6+jaX46iX1JYtW1hISAjbvXs343leLD937hybMmUKy8rK\n","sqo/f/58duONNzpc/uzZs9nf//53ZzZJFBkZKZ70tnXy5EkGwKqnFiFXgvYwSJc3dOhQxMXFYcGC\n","BThx4gSMRiP0ej0OHjyIf/3rXxg/frzdyW1nBQcHw2g0oqysDNXV1RAEAVqtFmVlZaitrUVISIhV\n","/SlTpuCXX37BW2+9hYsXL0IQBNTU1GDz5s34/PPPkZmZ2RGbTIhb0DkM0i1UVFRg5cqV2L17N8rK\n","ymA0GjFgwABkZWXhySefvKKroXft2oX169fj9OnTqKqqgkKhQExMDKZMmYKHH37Y7vzBTz/9hNWr\n","V+PkyZO4cOECAgMDkZiYiOzsbEydOvVKN5UQt6GEQQghxCl0SIoQQohTKGEQQghxCiUMQgghTqGE\n","QQghxCmUMAghhDilyyWMN954w9MhEEJIl9TlEkZJSYmnQyCEkC6pyyUMQggh7kEJgxBCiFMoYRBC\n","CHEKJQxCCHGCkRew548LeOrTYzhdftnT4XgE3XGPEEJawBjDkXM1yDt6HtuPl+FivQ4A0LunP56Z\n","PNTD0XU+ShiEEGLjdPll5B3TIO/YeZyr0orlYSolpgzvi0kJUR6MznMoYRBCCIBzVY3IO3YeXx07\n","j1OSQ04qPzkyro7E1OR++Nvg3lDKu++RfEoYhJBu68JlHb75rQzbjmpwuLRGLFfKOYyP74OpyWrc\n","ODQSgX5yzwXpRShhEEK6lbomA74rKEfesfP45cxFCOY7AnEckD6oF6YmqzE5oS9CVErPBuqFKGEQ\n","Qrq8JgOP/FOV2Hb0PH48XQm9URDnJQ0Ixa1JamSO6IvI4IBWlkIoYRBCuiQjL+CXs5eQd/Q8viss\n","R73OKM67qk8PTE1SIytJjZjert3PvTuihEEI6TIYYzhcWo1tR8/j6+NluNSgF+f1Cw1EVpIatyap\n","MaxvT3Ac58FIfZNLp/tXrVoFpdJ0fK+iogKTJk3C8OHDkZKSgv3794v13nnnHQwbNgxXX301Hn30\n","UQiC4HIbQghxhDGGk2V1+Pe3p/C3Ffm4Y91ebNhbgksNeoQH+eHetGh89lA69jw9AQtvHoqr1cGU\n","LFzU7j2MAwcO4Pjx4+jXrx8A4PHHH8fEiRPx1FNPYf/+/bjzzjtx9uxZnD59Gq+88gqOHDmCsLAw\n","ZGVlITc3Fw8++KBLbQghRKr0UiPyjmmw7eh5/FFZL5YH+ckxKTEKtyapMeaq7t0NtqO1K2HU1tZi\n","4cKF2Lp1K5KSksDzPLZv3463334bADB69GiEh4fj0KFD+PHHH3HHHXcgPDwcADB37lysW7cOs2fP\n","bncbShiEEACorGvC9uNlyDt2HkfP1YjlfnIZJgyNwNTkfrhhaB8EKKkbrDu0K2FkZ2fjlVdeQUhI\n","CACgsrIS/v7+CA0NFetER0ejuLgYJSUlSEhIsCt3pU1LdDoddDqdVRnP8+3ZJEKIl6vVmrrBbjum\n","wd6zl8RusDIOGHNVb2QlqTEpIQohgdQN1t2cThhr165FYmIi0tPTxTJBECCXW2dyhUIBQRDs5rVU\n","7kyblixfvhwvvviiVVlaWpqzm0QI8VJaPY8fTlUg7+h5/HT6AvR88/dAysBQTE1SY8qIvujTk7rB\n","dianE0Z+fj5KSkqwfft2AEBZWRmysrJQVVUFrVaLwMBAAIBGo4FarYZarYZGoxHbW8ojIiJw+fLl\n","drVpyaJFi5CTk2NVtmTJEmc3iRDiRQy8gP+euYi8o+exs7AcDfrmowXxkT1xa7IaWSPUGNhL5cEo\n","uzenE8ann35qNR0TE4PDhw8jMzMTGzZsQHZ2No4fP44///wTaWlpCAoKwj333INFixahR48eeO+9\n","95CVlQU/Pz9MnDixXW1a4u/vD39/f6sy270XQoj3EgSGQyXV2HZUg29+K0N1o0Gc1z8sELcmqXFr\n","shpDo4I9GCWxuOLrMNasWYMHHngAubm5UCgU2LZtGwICAnDttdciOzsb119/PRQKBcaMGYPHH3/c\n","5TaEkK5BZ+Txe3k9th83DfR3vrZJnNe7hx8yR5guqLtmYCh1f/UyHGOMeTqIjpSTk4NVq1Z5OgxC\n","ui1eYKioa8K5qkacq9aanxtNz1VaVFxugvRbp6e/ApMSozA1WY30Qb2goG6wXouu9O5marUGfPi/\n","xTBKTiKC4yD9HSf9UceBs5m2mS+ZsP0xKG1ru3zpGu3amQs4B/M5m3VaMMbAADAGMEmZUWBo0BlR\n","rzOivsmIBr0R9Toecg6I7hWEiJ7+1suwag8wWJfBaj1M/OKTlsGqrOVlOo7dfpmQljmISbpeyzqt\n","Y7Iug+16WlgmJGWtLdNSnxcYyuuaoKnWWp2kdkTlJ8f4+AjcmqTG+HjqBusrKGF0M3e+tRenK7rn\n","7SXtXfB0AF2WQsZBHRqIAeGBGBCmwoBw8yMsEAPCVegV5EeHm3wQJYx2kP5atP/FZfur0dGvtuZf\n","kpZfec11bebD9ldjC/VbWadtjADD4MgelDDIFbtr1ABcGxMu2YM07U326RmAAeGBiAoOoENLXRAl\n","DIknthzF1iOatisS0s1V1ukw7Zr+ng6DdDJKGBKaGm3blQjpwpRyDhzHQcYBMo6D3HTCCTJJWf+w\n","QLxwa0LbCyNdDiUMic1z03D0XA30RgFGQYCBF2Dgmfm5+bVRLHM0T4BeUm60qaM31xHrC+b5RlM7\n","o2B5bapDSGcZFROOTx5Kb7tiJ2GMgRcYBAYIjJkf5teC/WsDb/q/0RlMz3qj6aEz8uZn0+vr4npj\n","QDhd/OcKShgSchmH1OgwT4chYoyJScaSRPTm51W7fsfXx8s8HSLpQg4UV2Ha2l/svnR1xuYv37Z6\n","P/mK/c/eSHfXcwElDC/GcRz8FBz8FDLA+oJ2rLn7Grwx3bSHwgtM8mzaq7GUGfnmOgZekJSb6prK\n","W2grmTYIAnheUi4wq2nr5bS2XvsYLK95m2UbJMslneNwaY2nQ3C7MJUSwQE0UKErKGF4kdJLjfjg\n","f4slu98MvGDa05C+5i275oJ1PUHchWdiv/iWduWt6pnLeUtd87Kkh8ssezqEOMJxpiHG/RUy+Cnk\n","8FdYXpse4mu5ZVpuN89fLoO/Ui6pI4O/UgY/udx6GZZ5CtM8hZyDQs5BKZOZnuUyKGQc5DKOuu52\n","MEoYXqLJwGPsq/meDoO0QG7+AlJYPTd/MSnkLZSb5ylkMuv2cvt6Vu3l9uUKuW395mm5ZD1Kuamu\n","0tLG5su0tfkK+pIlraCE4SX8FdRnvbMN6h0EP4VM/BK1vLb8wm2eJ4NcZukpxDX3GJJxVr2HTNPm\n","3kUy03UJVvPNry2/fE31YPVaxjX3UpJLX5vXxdm+lqyXM/dqsq3nKFbAtGfJeAG8wMHACa1ug9y8\n","TEom3RslDC/BcRxy7xuJORsOeWj9zcNucDB/qZjLLF9A0mE57A5p2VxE6AuKLjZ4OgSfw0mSiWXv\n","xpRQW5623TNqe9rRHll7l2E/bbuHp7DZQxSnzXtalmmZjJKkBSUMLzLx6kgU//sWT4fhMsasu0Ba\n","n0eRnnOx6SZpWy7pMskLpuUI5nM3lnVIE5ZdPXN76fke2y6aTHLex+num23E6ui8k20bcRsEtLg9\n","dtvmYBuaX1snbUFofbvt44W4DOf+xqZ18QKD3r0fJ6/24QOjMG5IhKfD6HSUMEiHMR0SAeTwvl9k\n","tl/Mlh5cgrnHlqVMkPQ6syQf8SGZtrTjmalHl6XjgLSduDzb5Qg29SXLElpsB/CCAN6cgEw90+zL\n","LIlIui2267OUNeiNuNxk9PSfxieVXmoAQAmDEKcVaGqxr+iSwy9f6Zdjm1++zNSt1uqL1qasuY35\n","S9L8S1n8krRqJ4jJQbou4l04Dujdw9/hYU/T+RJzORwfIpWSjp/GGKy6mUu7nQsCw+DInpDLOPEi\n","W0sXcPHiPgMPrYGHsZXPzCvfnMSSbYXi9NghEVg9IwUhqq7dXZcSho3SS41o0BvFY5cKGWd1zFYm\n","48QTjbbH/S3DdosDskmmpcf/xbpOnEBkjJmvUDV9kHVGAU3mZ4Okm2trQ343T4uv7MqYXR3r9pby\n","Py824Nmtv7UZNyFtYQy4cFnX6es9eq7mipfRZLDuYv7z7xfwTUEZ7ho18IqX7c0oYUis/ekMVu44\n","7ekwCCE+5vrBvTElsa+nw3A76ssp8cPJSk+HQAjxQXv+uAiF3PvO3XU0ShgSv5ZUezoEQoiPatB1\n","/Q4ElDAknpk81NMhEEJ8VHfoV9GucxhGoxFPPvkkfvzxRwQFBSEoKAhr1qzB4MGD8fjjjyM/Px+M\n","MSxYsACzZ88GAOzduxfz5s2D0WhEv379sGHDBvTp0wc8z7e7jbs9PD4OD4+PczhPvHudzd3xmsta\n","vvsd4PiOerb3Vr5j3f/SxWSE+IhhfYNx07A+8FPIMDkxClEhXX/023YlDL1ej+TkZLzxxhsAgHff\n","fRfPPvssbrrpJpSUlKCwsBDV1dVISUnBddddh8GDB+POO+/E559/jlGjRmHlypWYP38+Nm3ahHfe\n","eafdbTxJ7OEkHqbs+OOVVY3d+VIo0hH6hQYiVKVEmMoPISolggMUUPkpoPKTI0ApR6BSDqXcuref\n","nOPAABh5QRzsT8Y5/qw335IVUMibexA2D1HSPMRJ89AklvGumocvkcuahyGRmxdqubCRl4ykHKCU\n","iz++LBciircslr6G+aJFyQ8wywWJlh9rgvk2xZYyQbBub1pm82vB8qPQavlA3rHz+OrYeZReasDk\n","xL64Wh3s3j+qF2lXwlCpVLj//vsBADzP48yZMxg0aBC2bt2KRx99FBzHITw8HNOmTcO2bdswduxY\n","REREYNSoUQCABx98EP369YMgCC61kcmsj6DpdDrodNbd8nied/nN8LQFGfFY/GWBp8MgPkxTo/Wa\n","O0cqZJx5xFk5AhQycYgNu+7naO6abimwLbNtA1h3Z29pubBbhuPlwiqWlrvHA0CAUo6B4SqUVjXi\n","gQ8O4stHxnSLvQvAxW61W7duRXZ2NoYMGYIdO3YgNTUVMTEx4vzo6GicOnUK0dHRVuWhoaFQKpWo\n","rKxESUlJu9tERUVZxbF8+XK8+OKLVmVpaWmubJJXuCctGvekRXs6DCvMwa+0ln7FiUNMOPuLkDUv\n","33ZZ4rokw1dYhv9oHgbDfkgPsY44HEfzECB200LzcB2W4Tscr8Px0B/SdRsF002HtAYeTQYeTebX\n","Wr1pWmt56E3X0HQHRoHBqOfRoPfdH3EteXbKUGw5eA5nLzTggQ8O4pOH0tHDv+tfpeDSFt5+++2Y\n","OnUqVq5cibvuuguCIEAulzcvVKGAIAh25a3Nc6aNrUWLFiEnJ8eqbMmSJa5sEmmB5apb85QnQyFO\n","EgQm3jVPx/N2d8+zJDHbRCZO65sTn1bfXMfSplFvSog6Iy/eja87CQlUoqbRgJHR4Th7oQEnyurw\n","2KbDePe+kVDIu3Y/IpdTokwmw0MPPYSlS5di5MiR0Gg0SEgw3Rheo9FArVZDrVZDo9GIbRobG9HQ\n","0ICIiAhxXnva2PL394e/v/Wt6GyTDSHdjUzGIUBmOmcBeG6oCmYe06r53trN99jWGa3vv60z8Ha3\n","hLXci7v5ftztb6OXtOsotVoD1v501qos//QF7C26hOsHd+3xpdqVMPbv34/Lly9j4sSJAICvvvoK\n","KSkpyMrKwvr165GRkYG6ujp8+umn2LJlCxISElBUVITCwkIkJCRg/fr1mDhxIpRKpUttCCG+g+M4\n","KM03bQryb7u+OzFm3usyJ5H6JiN+OFWJvGPncczBUCEcB9wQ3wfpcb0g4zhJouLt7nOuMwoIDlQi\n","aUBop29XZ2tXwoiLi8P8+fPxzDPPQKlUIiQkBB9++CH69++Phx56CNdccw0A06Gi1NRUAMDHH3+M\n","WbNmAQCioqLw7rvvAgAee+yxdrchhBBXcBwHI8+w5/eL2FFYjvxTlaiXXGgXplIi4+ooTE6MwnVX\n","9YK/go5UOMIxywUGXUROTg5WrVrl6TAIIV6gttGA709W4NuCcvz8xwWr8y1RwQGYnBiFSQlRuDYm\n","rMuff+gIXf+0PiGkW6m83ISdhRX4rrAce89eshqmPLqXCpMTozA5IQpJ/UPpbnrtRAmDEOLzzlU1\n","4rvCcuwoKMevpdVWoy4MjeqJSQlRuHl4FOIje9J9ya8AJQxCiE86U3kZOwrKsaOwHAWaOqt5yQNC\n","xcNNsb2DPBRh10MJgxDiExhjKDxfhx0F5fi2oAxnLzSPuybjgFGx4ZicEIWMhCioQwM9GGnXRQmD\n","EOK1BIHh19Jq055EQbnVsCdKOYe/XdUbkxOjMHFYJHr18HDf3W6AEgYhxKsYeAH7ii5hR0E5dp6o\n","sLqNa6BSjvHxEZicGIUJQ/sgOICuz+pMlDAIIR7XZODx8+8XsKOwHN+fqEBdU/M1Ej0DFLhpWCQm\n","JUZh7OAIBPrRNRKeQgmDEOIRl5sMyD99Ad8VlCP/dCUaJYMU9u7hh5vMF9KlD+oFP8WVXyMhCKah\n","SjpiWd0VJQwn8AIz3x+AuuMJAsPWIxr89PsFh/Pbcx1ou64YlYxoy0tGluUZJKPWMvPIseZRZm1G\n","lrWMSlt8qbE9a8bwfiEYEB4IZzfNMtqt7Yi2gnTaEo+D+K3nm+7DIN1uQToar2TEXen6fN3Fej02\n","HyjF5gOlHb7sadf0w6o7kzt8ud0BJYw25O4pwqpdv8MoMISplAgN9BNvUBMWpERIoB/CJDesCVOZ\n","pi2vlW66erS6QY/805XoGxKIIH85OHAoqWrAki8LoDMKzUOF2wwl3hW+TDrbb5pa/Kap9XQYpIN8\n","cViDn3+/IN4kyZLQGbMewt92eH3LD4boXiq8P+taxEX08OyGeAAlDIkCTS2e3fqbeejiMHxxRGM1\n","v6JOh4o6XQutO0aAUoYe/grxw2y5P4PR/CvUIAhO/9IlhDh2sd71u1uWXGrEyh2n8Pa9IzswIt9A\n","CUMi+6NfxW57pVXtO2zRUZoMApoMdKtWQrzZYzcM9nQIHkFnfyTio3p6OgRCiA94bPMRfHlEgyOl\n","1bhYrwPfTY710h6GxOvTk5H04k5Ph0EI8XJ/XmzA/C1Hrcr++8wE9A9TeSagTkJ7GBKv7/pdfB2o\n","lCOxX7AHoyGE+JKKuiZPh+B2lDAk9p69JL7WGni7Ac0IIaQlRZKxrboqOiQl8Z8H03Dsrxqrsv//\n","/R846uAWjoR4O6WcQw9/BVR+CshkELtZA83XhZi6XVvK7buYWuY31zV3zXZTd+1eQX74+8j+CAk0\n","DfnhTI9AR9f+OGpnW+S4TnOhIDBoDTwa9DwadUbTs96Iep1putE83aDnMSUxCjcP79t2sD6OEoZE\n","WJAfxsf3sSqL7R2Eca/+5JmACLkCBp6hutGA6kaDp0NpEccBE+L74L70aIwdHEE3NPJylDDMGGMY\n","/Ny3VnfnIoS030Pj4swjIwAcONMzx4GDqezjfaXQ6o2YmRaNe0ZHY2Cvrn2iuCuhhGF2prKekgUh\n","HeCt3WedqvfOz0V45+ciN0fjOrmMg59cBj+F+SGXwV8hw73p0bgtuR8YTEO0aPU8FHKuW9yDo10n\n","vfV6PRYvXozk5GSMGjUKkyZNQmVlJRoaGjB9+nQkJCQgISEB27dvF9vk5eWJ5TNmzEBjo+mCOFfa\n","uNNVfXogc0TXPwZJCHEObz6HUas14MJlHTQ1WhRdbMCLX51AytJduGbpLlz7yvcY+2o+rvv3j5i7\n","4ZCnQ3a7du1hlJWVITIyEocPH4ZMJsNTTz2F119/HYIgoHfv3igsLERRURGuu+46nDhxAoIgYO7c\n","udi3bx9iY2Mxb948vPzyy1i2bBleeumldrdxJz1vGn8pQW3qSmu1O22pJNmtBmB+bVtmamBbxnH2\n","00DzgIZavREHi6vduo2EEPfZdaLC0yG4XbsSRnR0NB577DFxulevXrh48SLy8vLw2WefAQAGDRqE\n","9PR07Ny5E4IgYMyYMYiNjQUAZGdnY/r06Vi2bBm2bt3a7ja2dDoddDrrsZ14nrer54xL9Xp8W1BO\n","4zQRQtrkr5AhPMgPKj85VH4KDI7sgSW3XO3psNzO5XMYpaWlyM3Nxffff4/Vq1cjJiZGnBcdHY3i\n","4mIwxhyWA0BJSUm729havnw5XnzxRauytLQ0l7ZHHRqI73PG4UxlvVXXuQZzdzqrZ50RDXojGnU8\n","6s3d6xr0Rko2hHQTCepgTE3uB6PAYOQFcBxQrzMiLMjP06G5lUsJo7a2FnfccQfWrl2LmJgYCIIA\n","ubz5LlgKhQKCIIAx5rAcgEttbC1atAg5OTlWZUuWLHFlk1B0oR43vrbbpbaEkO7lcGkNDpfWWJV9\n","/Vs5tj0yxjMBdZJ2X+ldX1+PzMxMLFiwABkZGQAAtVoNjaZ5KHCNRgO1Wt1iuattbPn7+yM4ONjq\n","IU027VFwnq7qJoS47lg3uMC3XQlDq9UiKysLs2bNwvTp08XyrKwsrF+/HoDpCz4/Px8ZGRnIyMhA\n","fn4+ysrKAAC5ubnIyspyuY07ZVEPKULIFXhpaoKnQ3C7dh2Seu+993DgwAFotVq8++67AICkpCT8\n","+9//xv3334+RI003FMnNzRX3Cl577TVMmTIFCoUC8fHxWLduHQBg6dKl7W7jThzHIUApQ5PB8eEv\n","Qghpza1Jjo+EdCUca89NmH1ATk4OVq1a5VLb3D1FePnrkx0cESGkO3hjRjL6hwVCLpNBIeOglMug\n","kHNQykzPChkHhYMyS9d6X0BXeps16o1emSzkMg4qpRyBfnKo/OQI9FNA5SdHg86IU+WXPR0eIcTs\n","n/852uHLXH//tZhgM76dJ1HCMFP5KfDIhDisyXduWIPOwgsMl3VGXNYZPR0KIaST3b/+IIZE9oCB\n","Z9AbBRh408P0mkHPmw6hz70+FgtvHga5mwdvpIQhMaJ/qKdDIIQQK79X1LdZ5909f+Lm4X1xzcAw\n","t8ZCN1AyazLwyP7oV0+HQQghLunT09/t66A9DLOd3WAcGEKIe4WqlGDMdPMlgyDAyLNOGQX7b1f1\n","Rt8Q94+WSwnDbEJ8hKdDIIT4sAfGxOJfWV17PClKGGY9A5T48pExuG3NL54OhRDig0YPCocgMDQZ\n","eTTqeWj1PJoMPLQG02utgYeBZ0iP64Ue/r751eubUbvJR3tLPB0CIcRHteccqDokwHRrBA6QcZz5\n","DoXN0xyA9LheeGbyUAR5UXLxnki8wFOT4nG+Ros/Ki9DYKYb3/MCw+Um6tJKCOk452ub2qzzR2U9\n","BoSpMHfsoE6IyDmUMCSiQgKw+UHr4dGbDDyGLtnhoYgIId2Vv0KGjIRIT4dhhRJGG2oaDZ4OgRDi\n","AzbOGQ1NjRZr8s+g5JLpttKhKiXmXj8I96VHo2eA0sMRXjlKGG0ID/JDdC+V+AEghHQPHAcoZBzk\n","Mg4KmQwyDlDIZahq0It17k2LxrghEThX3YjHNh+xmnfnyP6Yfu1A+Mll+L2iHgZegJ9ChpQBoT41\n","fpQUJYw2KGQc0gf1ooRBSDfDGGDgGQw8A+B4FOuP9pXgo32OO8t8cugvfHLoL7vymaMH4pXbh3dk\n","qJ2GEoYZYwxzPjyEH05VejoUQkgXtnF/KTbuL+3QZU6Ij8D7s651+54LDQ1iVqc1UrIghPikoosN\n","6IwbVdAehlmISonMEX2x/XiZp0MhhPioqclq+Mll8FPITPfDMN8DQyk3nQdRyDmoQwPM115wsHzH\n","czCdM4E43TzBcYDtfoOlLi8Aep7HzYl9IXPzSLUAJQwrX/9GyYIQ4rptR897ZL1PbDmGI0tuQliQ\n","n1vXQ4ekzD7aV9Ipu3SEEOIOpVXu75hDexhmV/cN9nQIhBBiZ2hUT/ibD3H5SZ79FDL4y03TU5PV\n","SBoQ6vZY2pUw6uvr8cQTTyA3NxcGgwEKhQINDQ144IEHUFBQAABYsWIFMjMzAQB5eXlYtGgRAGD4\n","8OF4//33oVKpXGrjbkMieyBlYCg01VoAluOGHMrr2r6EnxBCAGBBxhDwAsAzBsaYeXgh0zBDgsCs\n","hhwSxPnN5YLAwJtf3xDfB7en9OuUcxPOalfCePXVVzF58mTk5uaKZS+99BJ69+6NwsJCFBUV4brr\n","rsOJEycgCALmzp2Lffv2ITY2FvPmzcPLL7+MZcuWudTG3WoaDThSWuP29RBCuq6y2ibwgukeGIL5\n","mWcMvPm+GAIzlwkCeIHZ15U8TpdfxtYjGqhDA6AODTQ9QgLF6QClvNO3r10J48UXX7Qr27p1Kz77\n","7DMAwKBBg5Ceno6dO3dCEASMGTMGsbGxAIDs7GxMnz4dy5Ytc6mNuxl4xxfmEEKIszr6+oozlW3f\n","nhUwHbbaMHsU+vQM6ND127ricxglJSWIiYkRp6Ojo1FcXAzGmMNyV9s4otPpoNPprMp4nndpO6SX\n","9BNCiC85VX4Zn/+qwcPj49y6nitOGIIgQC5v3jVSKBQQBAGMMYflrrZxZPny5XZ7PWlpaS3Ubt3A\n","Xu4/T0IIIe2RlaRGcID11zQDUKs14HyNFudrtKio0+HGoX3w/0b2d3s8V5ww1Go1NBoNhgwZAgDQ\n","aDRITEwEYwyFhYViPY1GA7Va7XIbRxYtWoScnByrsiVLlri0HUF+1GGMEOJdvjrm3HUdp8ovIzTQ\n","/aPhXvF1GFlZWVi/fj0A0xd8fn4+MjIykJGRgfz8fJSVmS6Gy83NRVZWlsttHPH390dwcLDVQ7qH\n","0h4nyupcakcIIZ6mqdHCKLj/QrIr/lm9dOlS3H///Rg5ciQA05e8Za/gtddew5QpU6BQKBAfH491\n","69a53Mbd9p691CnrIYQQd3jvv3/ikQlXuXUdHGNd6/rmnJwcrFq1qt3tNu0vxbNbf3NDRIQQ4n4r\n","7hiO6dcOdOs6aGgQs74h7u2ORggh7tQZA6dSwjAL8qeT3oQQ3/XcLcPcvg5KGIQQ4uPGx0dgaJT7\n","x8OjhGFWeL7W0yEQQohLfjp9wekuuFeCEoZZqMr9fZgJIcRdKi/r2q50hShhmA0MD/J0CIQQ4rJ1\n","P51x+zroTK9ZanQYTi2djHqdEQAg40w3STxRVoeZufs9GxwhhLThYr37x8OjhGFWdKEeN7y229Nh\n","EEKIS968O8Xt66BDUmZbDp3zdAiEEOKyUbHhbl8HJQyzv1/j/pEeCSHEXUa98oPb10EJwywsyM/T\n","IRBCiFejhGF2kkarJYSQVlHCMPvbVb3RLzTQ02EQQojXooQhwXfCePKEEOKrqFutGcdx+Oqxv+Ht\n","3WclZUBNowGf/vqXByMjhBDvQAlDIqKnPxZnXm1V9umhc5QwCCFej+Pcvw46JNWGsxcaPB0CIYS0\n","qTNuhUcJow2DImiMKUIIAShhtGnckAhPh0AIIV6BEkYb/rxIh6QIId7vwbGD3L4Orz3pnZeXh0WL\n","FgEAhg8fjvfffx8qlarT4xgVE46Vd4zA17+VQcaZR7HlOMlr0zM44OtOuKcuIYQ48sPJCjw7xb23\n","aeUY64xTJe1z8eJFJCQkYN++fYiNjcW8efMQGhqKZcuWtdk2JycHq1at6oQo7f1V3YicLcegqdF6\n","ZP2+huOse3aYBpRvntdcbinj7MosE23VsRS3tI7mMs5hO/uYuBbjtMxojslxHUusLa4PYtDgzPM4\n","cOL7ZnkNNP944STbYJonLbdvD0kbmU17SOs7aO9o2TJOsl2O2ju17Ob3znq7Wl+2QiaDUs5BIZdB\n","IeOglMugkJuelXIOcst8mcwcp9UfrIW/gf3fS1ruzOdX6r73D6CqwT3DkH88ezT+Nri3W5Zt4ZV7\n","GDt37sSYMWMQGxsLAMjOzsb06dOdShie1D9MhU8eSvd0GIQQL/Xr4omoazICDBAYMz8AZn62lBl5\n","BhnHYUB4oFWi8jSvTBglJSWIiYkRp6Ojo1FcXGxXT6fTQaezvi0hz/Nujo4QQlzDcRxCAn33dtBe\n","edJbEATI5XJxWqFQQBAEu3rLly9HSEiI1ePAgQOdGSohhHQbXpkw1Go1NBqNOK3RaKBWq+3qLVq0\n","CLW1tVaPUaNGdWaohBDSbXhlwsjIyEB+fj7Kyky9jnJzc5GVlWVXz9/fH8HBwVYP6Z4JIYSQjuOV\n","vaQAYNOmTXj11VehUCgQHx+PdevWoWfPnm22mzZtmtX5Dyme53HgwAGMGjXKJxKLL8XrS7ECvhUv\n","xeo+vhSvO2ONjo7GP//5zzbreW3CcIe6ujqEhISgtrYWwcHBng6nTb4Ury/FCvhWvBSr+/hSvN4Q\n","q1cekiKEEOJ9KGEQQghxCiUMQgghTulWCcPf3x/PP/88/P39PR2KU3wpXl+KFfCteClW9/GleL0h\n","1m510psQQojrutUeBiGEENdRwiCEEOIUShiEEEKcQgmDEEKIU7pNwsjLy0NCQgISEhIwY8YMNDY2\n","dnoMer0eixcvRnJyMkaNGoVJkyahsrISH3zwAfr374+0tDTx8ddffwEA9u7di5SUFAwfPhyTJ09G\n","ZWUlANMwAY888giuvvpqDBs2DO+9955bYo6JibGK64UXXmh13Z6KNzc31yrOa6+9FrGxsV713tbX\n","12Pu3LngOA5GoxEA0NDQgOnTp4ufze3bt4v1W/rMutKmo+I9ePAgJkyYgNGjRyMpKQm5ublifUef\n","FaD197Olv0FHxNrRf3t3xiqNMS0tDX379sWHH34IwLPvqx3WDVy4cIH16dOHFRUVMcYYe/jhh9mi\n","RYs6PY7i4mL2P//zP4znecYYYwsWLGALFy5k69evZ88//7xdfYPBwPr378/279/PGGNsxYoV7K67\n","7mKMMbZ27Vp2yy23MEEQ2KVLl9jAgQPZiRMnOjzm6Ohou7KW1u0N8Vps3LiRzZkzx6ve23/961/s\n","s88+YwCYwWBgjDH29NNPs3nz5jHGGDt79iyLjIxkly5davUz60qbjop3zZo17MyZM4wx0/9Vjx49\n","WH19PWPM8WeFMdc+Lx0Ra0f+7d0dqxTP8ywhIYEVFxczxjz7vtrqFglj48aN7Pbbbxenjx49yuLj\n","4z0Ykcny5cvZk08+ydavX88GDBjAUlJS2PXXX882b97MGGPsl19+YSkpKWL96upqplKpGM/z7Kab\n","bmLbtm0T582fP58tX768w2OMjY1laWlpbMSIEWzOnDmsrKysxXV7Q7wWKSkp7NSpU1753kq/KAYP\n","HsyOHTsmzrvtttvY5s2bW/3MutKmo+KV0ul0LCwsjFVXVzPGHH9WGGMufV46ItaO/Nu7O1apL774\n","gt19993itDe8rxZeece9jubsHfw6U2lpKXJzc/H9998jKioK//jHP8BxHAoKCjBlyhRERESgsrLS\n","Ku7Q0FAolUpUVlY63KZTp051eJwFBQVQqVTQ6XR44YUXcOedd6KiosLhuqOjoz0eLwDs2LED0dHR\n","iI+PR3R0tNe+t0DLn03GWIufWVfauMPixYtx3333ITQ0FIDjz8rPP//c4vvZ2uclKirqiuObMWNG\n","h/3t3R2r1MqVK/HWW2+J0970vnaLhOHsHfw6S21tLe644w6sXbvWbij2xMREZGdn4+uvv0Zqaqrd\n","MMaW2Dtrm1QqFQDTVaZLly5FcHAwIiMjHa7bNiZPxAsAK1asEO//HhAQIJZ723sLtPzZZIy1GIMr\n","bTraBx98gCNHjuCbb74Ryxx9Vmpra1uMt7XPS0foyL+9u2O12L17N4KDg5GUlCSWedP72i1Oejt7\n","B7/OUF9fj8zMTCxYsAAZGRkO6wiCgODgYLu4Gxsb0dDQgIiICI9tk0KhaHHd3hDvgQMHwPM80tPT\n","Hc73tvfW2fdSGoMrbTrSJ598gtzcXGzduhVKZcv3p1YoFFCpVC59XtzhSv72nRXrihUr8PTTT7da\n","x6Pv6xUf1PIBf/31F4uKimLnz59njJlONj/66KOdHkdjYyMbP348y83NtSrftGkT02q1YqyDBg1i\n","hYWFTKvVssjISFZQUMAYY+zNN99kmZmZjDHGXn31VTZjxgzGGGO1tbUsLi6OHTp0qEPjPX78ODt4\n","8KA4vXTpUnb33Xe3uG5Px8sYY9OmTWN5eXnitDe+t5Acu37kkUfYwoULxfgiIyOZRqNp9TPrSpuO\n","ivfLL79kqamprKqqyqpOS58Vxlp+P1v7G3RErB35t3d3rIwxduzYMZaammpVx1veVzHmDlmKD9i4\n","cSNLTk5mI0eOZDNnzmR1dXWdHsPq1auZSqVio0ePFh8PPvgge/3119mIESNYamoqS0pKYl999ZXY\n","ZteuXWzkyJFs5MiRLDMzUzzh1dTUxGbNmsVSUlJYSkqKXRLqCEVFRWzy5MksOTmZJSYmsn/84x+s\n","pqam1XV7Mt7Tp0+zxMREJgiCWOaN7630i6KqqopNnTqVpaamstTUVKv4WvrMutKmo+Lt1asXGzJk\n","iNVn+MCBAy1+Vhhr/f1s6W/QEbF29N/enbEyxtjMmTPZf/7zH6s63vK+WtDgg4QQQpzSLc5hEEII\n","uXKUMAghhDiFEgYhhBCnUMIghBDiFEoYhBBCnEIJgxBCiFMoYRBCCHEKJQxCCCFOoYRBCCHEKZQw\n","CCGEOIUSBiGEEKdQwiCEEOKU/wNJ36AH46p6oAAAAABJRU5ErkJggg==\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-10938c84-563e-4653-969f-d93ce5a1d7cf\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-10938c84-563e-4653-969f-d93ce5a1d7cf\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def value_plot(df, y, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[y].plot(kind='line', figsize=(8 * figscale, 4 * figscale), title=y)\n","  plt.gca().spines[['top', 'right']].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = value_plot(_df_7, *['하차총승객수'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-3d6d797a-c3fe-4e2a-a706-f0ef68ed8f8b\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYwAAADECAYAAACMRRb/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAAAz/klEQVR4nO3de3QTZf4/8PdMJkmbXpIWCqVc2lKkQLnVYgFZQV3o+kU4u8Ie\n","QfCOWkVxFVHorvvF7/JVRM/qcVnAxQregHVFWZD1y6oLuq4/seAF5Cq3ViiXQi9p06a5zDy/P2Yy\n","nTRJm6ZNk7af1zk5ycw8z8wnaTqfzOV5Ho4xxkAIIYS0go90AIQQQroGShiEEEKCQgmDEEJIUChh\n","EEIICQolDEIIIUGhhEEIISQolDAIIYQEhRIGIYSQoFDCIKQLad7Otry8HI2NjRGKhvQ0lDBIt1dW\n","VgZBENSHxWJRl73xxhuYMGGCOv3WW295ld2wYYO67Omnn8btt9/udxt33HEH4uPj1cfdd9/dalyS\n","JKFv37547733/C7fvHkzLBYLkpKS0KdPHwiCgO3bt+OZZ57Bgw8+CACYMmUK9u7d67f+pUuXwHEc\n","jh8/3moshASDEgbp9tLT0+F2u9VHTU2N33JOpxOzZs1CTU2N+pg1axbcbnfAde/btw8DBgzAnj17\n","YLFYYLFYkJycjN27d2Po0KFoaGgIWHf16tWoqKiAy+Xyu3zevHmoqalBdXU1ysrKoNPpMGzYsKDf\n","9+rVqyEIAuLj44OuQ0hLKGGQbm3cuHFeRwzax4IFC7zKvvrqqxg7dizGjh2L3NxcjB07FklJSbhy\n","5UqL6z958iROnjyJU6dO4fDhw1i4cCEAYN26dTCZTD51Ll26hMLCQrz88st499131SOGEydOBNzO\n","pk2bkJmZGVTCYIxh1apVWL9+PRYsWIDrr78eX3zxRav1CGkNJQzSre3fv189sqitrUVDQ4M6/frr\n","r3uVffTRR9Wd/4kTJ7B8+XKMHDkSqampAdfPcRwEQUBJSQmKioowbNgwPPPMM5gyZQr0er3X9YXz\n","589j6tSpGDNmDJKSknDw4EHceuutOHDgANLT0zFt2jSMGjUKR48e9drGxYsXsXTpUixfvlydt3Hj\n","RlgsFpw5c0add/nyZaxduxa5ubnYvn07vvzyS7z66qtYtWoV5s2bh8mTJ2Pt2rUBj7AIaRUjpJs7\n","c+YMu+GGGxjP80wQBDZ79mxWXV3NGGNs48aNbPz48T51rFYry8rKYlu2bFHn/e53v2McxzGdTscK\n","CgoYY4zddNNNLCUlhU2ZMoW98sor7ODBg6ysrIytWbOGFRQUsKSkJPbhhx+q69i/fz9rbGwMGOvp\n","06d9Ys/Ozmb33XefOm/58uWssLCQMcZYVlYW27NnD2OMsc8//5zddtttbNeuXT7rdTgcbMuWLWzR\n","okUtbp+QlgiRTliEhNu9996LmJgYlJSUwG63Y9GiRXjqqaewfv16AEBJSQliYmKQnZ2NAwcOQBRF\n","3HHHHTh16hTi4uK81jVv3jy888476vS7776LxMREdXrChAm4++67sXDhQixcuBButxs6nQ7ff/89\n","HnvssaBjfvzxx/HNN99g7dq1uP/++/Hss8+2Wmfy5MmYPHmy32UGgwFz587F3Llzg46BkOYoYZBu\n","b//+/fjss89w9dVXAwCWLl2KF198UV2en5+v3mlks9kwZ84c1NbW4q233sL8+fPx/vvvY9q0aV7r\n","/OmnnzB69GifbdlsNhw8eBDLli3zmv/kk0/iz3/+c9Ax9+/fH0ePHsUXX3yB4cOHey3r3bu3+jor\n","KwsmkwmbNm1CYWFh0Ou32WxBlyXEgxIG6fYmT56MDRs2YMSIEXA4HNi0aROuu+46n3Lbt2/HE088\n","gby8PGzduhWxsbEwGAy45ZZbfHb2gwYNCvlawL59+/CXv/wFBw8eRGVlJSwWC4YNG4b77rsPN9xw\n","g1rOk3QyMjJw8eJFn/U8//zzAIDGxkbMnz8f8+fP91p+7NgxDB8+HHa7HTExMSHFSogWXfQm3d6G\n","DRtQVVWFgQMHYtiwYUhPT8dzzz3nVcbtdmPXrl3qnUuxsbEAgDlz5uA///kPfvWrXwVc/5tvvomf\n","//znyMrKQlZWFgYNGoRhw4bh8ccfR3V1tVfZTz75BFOmTEFeXh4++ugjnDhxAv/6179w8803Y9as\n","WXj77bd91l9aWorGxka/D4vFAkmS2v8hERIEOsIg3V6fPn2wefPmFssIgoB169b5XTZ27NiA9f72\n","t7/hN7/5DXbs2IGf/exn4Hn5N9i5c+dQWFiIu+66Czt27FDLf/TRR7j22mvx0EMPqfMsFgvmzZuH\n","3bt3Y8eOHbjjjjva8O4I6Tx0hEFIOyQmJsLtduPChQuorq6GJEmw2+24cOECrFYrzGazV/np06er\n","t7teuXIFkiShpqYGW7Zswfvvv48ZM2ZE6J0Q0jqOsWad0xBC2uSTTz7Bxo0bcfz4cVRVVUEQBGRk\n","ZGD69Ol46KGHfK4ffPbZZ1i9ejWOHj2Ky5cvIzY2FiNHjkRhYSF++ctfRuhdENI6ShiEEEKCQqek\n","CCGEBIUSBiGEkKBQwiCEEBIUShiEEEKCQgmDEEJIULpdwnjllVciHQIhhHRL3S5hlJWVRToEQgjp\n","lrpdwiCEEBIelDAIIYQEhRIGIYSQoFBvtYQQ0gpRYjhzxYaD56w4eM6KmWPSkJeeFOmwOh0lDEII\n","0ZAkhrKqBhw8V4MfzllxsNyKw+VW1DtFtUxynIESBiGE9CSMMZytsuNguZIczllx6LwVdY1un7Kx\n","eh1y0hIxaoAZ12QkRyDayKOEQQjpERhjOG9txA/nanDwnBU/lMsJwmp3+ZQ1CjxGpCVidH8zRg2w\n","YPQAM7JS4qHjuQhEHj0oYRBCuqVLtY1yYjhXg4PlVvxwzorKeqdPOb2Ow/B+iRjV34zRA8wY1d+C\n","q/rGQ6+je4Kao4RBCOnyLtc5cEg5YvihXD6CqKhz+JQTeA5D+ybIiWGAGaP7WzA0NR5GQReBqLse\n","ShiEkC6lut6JH8o9p5Tkaw/nrY0+5XgOuKpPgpwYBpgxqr8Zw/slIkZPySFUlDAIIVHLand5HTn8\n","UG7F2Sq7TzmOA7JS4pVrDnKCGN4vESYD7eI6En2ahJCoYHO4cUi51iBfc6hBaWWD37KZveM01xzM\n","yOlvRryRdmfhRp8wIaTTNTjdOHK+VnO3Ug1OX6kHY75lBybHYnR/i3LNQU4O5lh95wdNQksYL730\n","EpYuXQqXy4VLly7hzjvvxPnz5yEIAl599VWMHz8eALB+/Xq8/PLL4DgON954I/70pz+B5/mQ6hBC\n","uhaHW8TZqgacudKAssp6nLlSj9LKepReacB5q91vckgzxyinlCwY1V8+ekiKM3R+8MSvNieMkpIS\n","HDx4EP379wcAPProo5g6dSqefPJJfP3117j11ltx6tQpHD9+HM8++yy+++47JCUlYebMmSguLsYD\n","DzwQUh1C2osxBsYApryWGMCgzNO8lhhTynjXkdTX8gypeR1lByj5qQO1XIh1lJgkpRDzUwde626q\n","4/89aOeHUEf9/OTXAOASGcprGlB6pQGllfU4X2OH5CcpePRNNGJUf4t6amlkfzNSEowd+ScnHaxN\n","CcNqtWLZsmXYtm0bxowZA1EUsXPnTvzlL38BAIwfPx7JycnYv38/du/ejdmzZyM5WW4Ref/992Pd\n","unVYsGBBm+sEShgOhwMOh/etc6Io+i1LZFu/OYcl7x2IdBikh4gz6JDRO05+9DIho1ccMpXp3vGU\n","HLqaNiWMwsJCPPvsszCbzQCAiooKGI1GWCwWtUx6ejpKS0tRVlaGnJwcn/mh1Alk5cqV+J//+R+v\n","eRMmTGjLW+px1uw5GekQujyOAzgAHMeB5wAO8gzPa44DeI4DB0BZBJ7nvOpALddUx7Oc4+C1DnWe\n","5zWUZUqjY95PHajlvOuo8TSrA691N73WbltbR41ZU4fnOKSaY5TkEIeM3iakxBvBeQIlXV7QCWPt\n","2rUYOXIkJk6cqM6TJAk6nfc9zYIgQJIkn2WB5gdTJ5CioiIsXrzYa97vf//7YN9Sj/TaneOw7P2D\n","aHQ3HYkpuxj5dbP/ba9JzUJJYvih3BqmKKNPvFGAXsdB0PHQ8xx0Og56noeg46DjeXkZz0FQ5gk6\n","XpnmoNfx0PEcBKWOXFdTRqfUU+bpdZxSXtmWsg5Bsw3t9gU/6/KsQ6/G4YlLqd/Du7ggoQk6YezZ\n","swdlZWXYuXMnAODChQuYOXMmqqqqYLfbERsbCwAoLy9HWloa0tLSUF5ertb3zE9JSUFdXV2b6gRi\n","NBphNHof1jZPRm0hSQwnL9vk88EaHHz/uTz7Tk9Rfz+iAv1LqufHwdR1NJ+GvzJoOsfcVK7p/HLT\n","urzLeM65e+Y9NnVo07l7tZxSx29c3mU823WKDCcu1cHmcKPe4Ua9Q4TN4UaD0w2bQ1TmuWFzuOFw\n","B078XYHN4dsZXVfGcZCTlyeRKUnNbyJrlpSMAo87JqbjxmF9I/02SCcLOmG89957XtMZGRn49ttv\n","MWPGDLz11lsoLCzEwYMHcebMGUyYMAFxcXG4/fbbUVRUhPj4eLz++uuYOXMmDAYDpk6d2qY6neWO\n","DV/jy5OVnbY9QiKFMcApSoAIwLfvvVbpeJ4SRg/U7nYYa9aswb333ovi4mIIgoDt27cjJiYG11xz\n","DQoLC3HddddBEARMmjQJjz76aMh1OkOSiW7fIz1bYowAk0GAyahDnEFAnFEnTxvkaZNRhwSjgIKc\n","VFjtLpgMOuqkrwfhGGt2/qWLW7x4MV566aV2raP57ZfaU0jaT0s7r3lZz3mcQMubnybyuy7muwzK\n","qrd9ew5/2k0XsEnkGXQ8Yg06mAw69dmkF3zmxRm08wSY9NrlgvpaW46SUXShlt5+cJo7UAJfiYis\n","xQXZWFyQHekwSBAkicElSXCJDC63pL52ixJcogSnm8Etya9dIlOem167RQanMs+tLvcsk+BUXjOm\n","3K3EN92h5RYZ7C4RjepDQqNLVOZJcCiv7ZrlbeUUJTjtkt9xJdpLr+MQq/dOKJ6EE6dNUAZBKadJ\n","SJoEpK2bHGeg3mlDRAmDdBmMsYA7UacoyTtdt/Las1OVJHknLco7Zadbgltiyo5aee2W4JKadsAu\n","sdk6RN+duWfH7dTs+Jsvl2NiEFtqvUZaJH+mbtT6GQEvVMlxBny6eAqSqQV5m1HCiCK7Dl3AgXNW\n","rzudJKmpha93C1vlWdMaWfJpvdzUGtfTElgu09SyF+p6vFvuSpp1au/i8irLvGOTNLF4ymq36/0+\n","mtbT1LLau6W1JMnTLkneAbu7yY6X4wC9jodBuYVWUF577lYSeA4Ggfd67bk9Vy/It9rKt9nyMOia\n","XnOc9nNt+pt47vpr/rcP9L3x+duDQZK8/05Ss7+fun7J+3vivX7f2LzLNJ2y9f3++X5XmscQTDkA\n","MBl00FHbkJBQwogSjS4RD2/+jn6NtpF2p6tXXns/N+2ItTtl7XK9uqPmoRc4uZzyWs9779T1gqed\n","Q4B16DglpqbXQrOy1AYicjyXbKkxYWgoYUSJGL0OL8wejf1lVahtdKPW7kJdoxt1jS7UKs+hnF9u\n","Cx3PwRyrhzlWj0TlWX4Imtd6JMboIeh4pUWwb+tjtUUwOLXVsNp6WNMa2aeFcoDWzXod3/QrW+DV\n","nbiO5+gfn7QJfV/ahxJGFJmdNwCz8wYEXO50S14JpNbuSShycqm1y8u003Wa6bpGV4udwYkSQ1W9\n","E1V+xj1uLs6gQ0KMHomxgvwcIzSb1iMhRkBirPKslPFMx+p19M9LSBdDCaMLMQg8esUb0SvETtsY\n","Y6h3is2OXoJLNp5pu0vuUqTeKaLeKeJibUe+Q288B1hMBlhi9bCY9PJrkx6WWAPMsXoYBB46Xj4q\n","0fFNRxw6jgtqvrZ/J0/q8hwZNb32LPA8Nd1B56nbvCzHNVXwnh94Owgwnwu43abA/MYD/3W12wv2\n","ffub73c7HKc5vUdHf90RJYwo8vz/HcOrn5+KdBhRQ2II+oiH9DwJRgHxMQISlKPbhBgB8UblKNYo\n","IE55eF6bjDrEGwW1QWKcUb7d1nOdibSOEoaGzeHGG1+eQaNLglHgEaPXIUbPwyjoYFSeY/TyfIPA\n","g1fOzXt6+9Seh/d3ft+rt09NXc8vwy0lP0X0/RPSldQ53KhzuHEhCvrAHDvQgo13X9PtB3uihKGx\n","cNO3+PePlyMdBiGki/n+bA3+efgi5uYPinQoYUUJQ2P6yFRKGIT0AL+dPgw2h4g6zQ0htXb5mp3N\n","4VbnuUT/d4kM7h2HRpfcO3O9U0TBiL6YPrpfJ7+LzkcJQ2Nu/qAWfyFIktx61+GWWwk7ldbC6kMU\n","m5Y1Xy5KcLgk7/pKneZlGt2i+tzokuBwN3Xj0KiUJYSE7s6JGYjRU/cgbUUJow14nkMMr6MvmsLp\n","lrD72CWYDAJSEoxISTAiyWTosIZp7+wtw9N/P9Qh6+pJDDoeV/WNx4h+iRiRlogR/RIxPC0RiTH6\n","oNfRvIW0duxz31b7zGe+dsxzrx4AAtWHd0txUWJqf1uerlzcoqfPraZpTy8ALqWctjsXf/XcooQH\n","r8+i/+EQUcIgIbvnjZJ2jR9iEHikxBvRO8GIlHijmnRSlOn0XiZMGtIL+0qrYY7VN416x3u3rFZb\n","dPNNrbg9Lb8NntHvNCPUeWh7/9XOYD7Lmd/yzZfDZ7l3vWDW3RRK22IRRYYzlfU4er4WdQ43Dp+v\n","xeHztcA3TescmBwrJ5F+ZjmRpCUizRzj9/ZX+TZkIFo73ySRQQmDhGx8Zq92JQynW0J5jR3lNfZW\n","y16uc+BynSOo9SbHGdQE1DvegJQEI3rFGZREFAOLSS93t21UutHW67rNbZWMMZyrtuPw+VocuVCL\n","I+drcfRCLcpr7DhbJT/+efiSWt4cq/c6EhmRloghfeKpW3HiF42HQTqEKDFUNzjVHfvlOgcu2xy4\n","ojxr59U0dHw32OFmFHivox/P697x8iMhRlC72TZputyO0fNR0YCtpsGpJhDP88kKm98OHTvilBbp\n","nihhkKjEGIPDLaFBaZl+xdZCElKmA93REs16xxvQO943EZlj9erIdybPeBDGpsGJTMb2Dy7kcIs4\n","ccnmlUg8p7T8acspLdI9UcIgPYYoMdQ73WhwKLdDOtzqUdEVm1NNPJfrGtVE1JHjMHSWWL3O62io\n","d4KclOKNQsCR7TyvYw06VNocOHqhzueUlj/RekrLM3aK545Dh+aOQ4dbHkTK4ZbUZa2VaW095lg9\n","XrtzHNIssRF93+FG1zBIj6HjOaUTxI45teI5Cqp3uFHvEFHvlJNQvVO+v7/S5vQ6AvK8vmJzhHVs\n","D7tLxE9VDfipqiFs2/Cw2l346nQlvjrtey1rWGoCcgdZkJNmxqj+ZlhMeojKreme28S9dsxerzU7\n","Zq9n/2X87cQ786fwuWo7LlgbKWFoud1uPPHEE9i9ezfi4uIQFxeHNWvW4KqrrsKjjz6KPXv2gDGG\n","JUuWYMGCBQCAr776CgsXLoTb7Ub//v3x1ltvoU+fPhBFsc11CIkmHMcp3cfo0Cs+9PVIkjw4lMQY\n","HC4JtUqnkJ6GZFa7q6lzSLsLlfVOXLI24mJtIy5aG+EUo7NdzrGLdTh2sQ7A2UiHonb1YxR4GPU8\n","Ypp192MUdN5lvMp7P3vmf1NWjfX/Pg0AeHBKFvLSkyL8LsOvTQnD6XRi7NixeOWVVwAAr732Gn77\n","299i2rRpKCsrw+HDh1FdXY3c3Fxce+21uOqqq3Drrbfi/fffR35+Pl544QU89thj2Lx5M9avX9/m\n","OqRr8+wYRYlBZAyicn+8yOR5blHeaapllEfzaXmeJJcVNetT1qG+lphmmxJECRAlyXu+Godm237X\n","IQWOp9X45bp2pYdf4p/AcxCU26YFze3T2luiBc2AVp7bqHU813S7tTIioU4dO0XulVhS/k46jsPD\n","Nw5Bn4SYdsV67GItlvztAABg5pg0PPWL7I74CKJemxKGyWTCPffcAwAQRREnT57E4MGDsW3bNjzy\n","yCPgOA7JycmYNWsWtm/fjsmTJyMlJQX5+fkAgAceeAD9+/eHJEkh1eF5utWvJQ63iD3HLnsPrakc\n","louSfC72g2/LcaKiTh7GUtlJSgwQGfOaJqSzuSXPMLzhPWJ6e28ZTq+8OeT6F62NuGfjPtQ53MjP\n","SMaLvx4NvoeMohjSNYxt27ahsLAQQ4cOxa5du5CXl4eMjAx1eXp6Oo4dO4b09HSv+RaLBXq9HhUV\n","FSgrK2tzndTUVK84HA4HHA7ve/NFMfRfcIfKrZix+j8h1yeERD+JARnL/tHu9QxOicP6O/N6VKvx\n","kH6y33LLLbh48SJmzJiB2267DZIkQadr+tAEQYAkST7zW1oWTJ3mVq5cCbPZ7PUoKSkJ5S0BACUL\n","QkjQ3rwnHxZT9+7OvLmQz/HwPI8HH3wQu3fvRlpaGsrLy9Vl5eXlSEtL85nf0NCA+vp6pKSkhFSn\n","uaKiIlitVq+H51RWKBbdOCTkuoSQnmXqS59j5PJ/IvcPH2PT12WRDqdTtOmU1Ndff426ujpMnToV\n","APDhhx8iNzcXM2fOxMaNG1FQUIDa2lq89957ePfdd5GTk4PTp0/j8OHDyMnJwcaNGzF16lTo9fqQ\n","6jRnNBphNHoPV9r86KQtnijIxiNK0tB5DXjUOecnH/vrd/j79+c7ZVuEkPbx3AoMAL/bdgg/G9Ib\n","6b3iIhxVeLUpYWRlZeGxxx7D0qVLodfrYTab8eabb2LAgAF48MEHcfXVVwOQf/nn5eUBAN555x3c\n","fffdAIDU1FS89tprAIBFixa1uU5nMAqROx/58pyxmD8hHU63pBmP2tMRnJzAeF5uT6Dj5Ls/eM8y\n","vtmofoDXONRA4DGZm5ZpBoduoTznZ73QrCeYbWrHge6pPD24ioypPbU2vZbvsJKU3l0l1nTXlcvT\n","+6qbqV3oy72zSnC65R5aPfNcogSn0kurZ55T6c1VXe5uNi0yuJrVV5cr3fBfsdGwuc0ZhO5/Uw61\n","9CaEtJu1wYWz1Q04qzQYlF/bcbaqAeeq7a22FYnV6zAwORaDkk0YkGTCwGQTBibFYlAvEwYmmRBn\n","bPv9OYx53/bs82iWhOUGf3IjwEaX/Gx3icrrpkaBdqeojlXjWXbnxAxMHup72ry7oZbehJB2M5v0\n","MJvMGNnf7LNMkhgq6hxyImmWTM5WN+BibSPsLhE/XrLhx0s2v+tPjjOoSUR+NmFQsgkDk2ORZon1\n","2xUJxyntOjr83fZc9FkSQsKK5zmkmmOQao5Bfmayz3KHW0R5tR1nq+2ahKIkleoG1DS4UFXvRFW9\n","EwfO1viunwP6mWMxMDkWA5WjE08yGZhkQkqCsUef+uxIlDAIIRFlFHQYnBKPwSn++1epbXQ1JRBt\n","QlESjEMzrspeVPnUj9Hz8mmupFglkXhOe8nTCdRte9AoYbSAMYazVXacumyDxJhyEVq+yKy+Vh68\n","cvjruRgteC5Ie1576uma1VfKExIO/oZPZeqFdGVaauoVwHOBXa3DAtRR5wWuox3i1VPGM3TryYo6\n","8HzTaIl6HQeDjldGSpRf6wXvZcNSEzBqgBl6Tz1B7h7EanfhXLVy7cQrqdhxwWpHo0vCyQobTlb4\n","P91lMenVU1wDmh2l9LfE9oiL2cGihKHR4HTjjx//iC9OXA54LjVceA4QdDx0nCbBtJCgvBITLw+n\n","KfB8011UPA8dB9+kpklego7T3I3V+nY86/ipqgE1DU5w6h1ZHHgOmtuQ5fPHnruhPHdvye+z6S4u\n","nveu7ykr1+N8ymrrM82OS9LsoNBsmnntzALUgXyHkk8dNKsjNasTcDv+dpatxeZvp+y7Dq/YpAB1\n","4D3dE2iH51WTkMChf1IsrtQ5YXcF7gGipsGFmgYrfii3+izjOCA1MUa9bjIwORZD+yagYETfbjNK\n","Y1tQwtAo+uAHbI9QOwiJyUOWEhItmn4waG7ZhpLYlR8PPOdJ7trE7/82b69pjoNBx6FPYozmll35\n","NuGmW3yZ92vlll6n6Nt1udwPlQh7Bw/myBhwwdqIC9ZGlJxpOt31wq9H49ZxAzt2Y10AJQyNm3JS\n","fRJGZu848FzTL01R86vO333yrFk5UfMrkpCuRJQYRDAgrB3s+v6q7wqe2noQ/7vzCJSDTaRZYvHX\n","ByYgKa57dxVCCUPj6vQkXJORhANnreovpCt1DvX0EK85vcJzckMdzykdXjn9oy7n5dbinl9fnl9W\n","gKaBXEtaKMIBYJoiEmOoqnfi1OX6dn4ChJBgaUdjLK2sh83hpoTRk/zl89PYV1otT9CwBYSQFrx2\n","5zgkxAhIiBEwwGKC2dT977bqeVdtWnD7hEFIjKEcSghp2bL/GoZpI/rimoxk9DPHwmTsGV2cU9cg\n","UaQj+ugnpKf6zc+vQk5aono3WfPbiD3PTqXTwAaniKp6B67YnLhi84y3Lr9uK54DfnjmFyF1YdKV\n","dO9318Vk9DKhtLIh0mEQ0iW98q8TEdu2xORrmN0dJYwo8sniKdj+/XnUNDjVztE8Y097xiT2vH7t\n","izORDpeQbq93vAG9441ISTCid7wRveMN6BVvREq8Eb0T5OmUeCN6xRspYZDOwxjDos3fYdfhi5EO\n","hZCoMbxfIublD4Rex8OgtPw2CLzcElydJzfWMwo8eJ7z0+DRu4EjzwEJMXokxAiINwo9aojV9qKE\n","oVFd78T352q85lXanFix8wisdhc4Dj7deug03YEE01Ja2xhKbpktt9KWGPD5j5cj88YJiSIcJ7fc\n","njSkN+772WAIusC/3CXG4HAzONwSgrn04FmT3SmiorZj4gXk3nqz+yZ0+04OKWFozF2/F8cv1QVc\n","zhjgVk4LEULCgzHAJTJ8dvwyPjvedX5ErZl3NW4e3S/SYYQVJQyN64eleCWMIX3iYRR4HD7fgT9F\n","COmGPEff6tG0OiIk5H7NlIasOh0HSQIuWO3I7B0X1C9yxhgaXRLqGl2wOdyIpt9rJoMO8UYB/cwx\n","GNrXf2+73QklDI1lNw1DmjkWK3YegVti0Ot4vHp7HgYmm4Jeh8Mtoq7RrfSgaUdZZT3OXKlHWWUD\n","SivrUXqlPiJf+MQYAZm94zAw2YTkOAPijPL5W5NBhziDgDijAJPR81oHk0HwGbFMkgC3JEFiDD9V\n","NeDxdw90/hshUclz9A2JIdjBW7U9E8TqdT4dZep4+dRRRycJjgPiDQLilWsYnmfPNY14ox7xMQIS\n","PPO8luub6hmFHnGhW4sShkKUGJ7++w84fbkeotI05eiFWlz3wh4AQH5mMmoanKiqd6FauYupK6lt\n","dOPAOSsOnOuaffeQ7q2l3mQ9eA7KjlvvtaP37NzVZZ7p5suV6TiDQEMKhIgShuJynQNbSs4GXK7t\n","qZIQ0n6xel3ARJGXnoTs1ATE6nXqr3uTQYD2DFbzXb52GQNDXaMLdY0uwOrdfxuDfB3S5ZaUXm4Z\n","3KIEp8ggShLcIlN7yvUsc4kSXBKDKDLccnV/FIzo2+0vcPvTpoThdDrxhz/8ATt37oTBYEBSUhLe\n","fvttxMXF4d5778WhQ4cAAKtWrcKMGTMAADt27EBRUREAYNSoUdiwYQNMJhPq6+vbXCec4npI035C\n","okVLRxXflFXjm7LqTowmeLsOX8Trd43DsH6J6jyjwKN3vDGCUXWONnUNUlZWhh07duDhhx8Gz/N4\n","8sknIQgCJEmCzWbDmjVrcPr0aVx77bU4cuQIJElCTk4O9u7di8zMTCxcuBAWiwXPPfccli5d2uY6\n","wWhP1yBbvzmHJe/ReXlCSNstKRiKR268KtJhhFWbOh9MT0/HokWLwPNytV69esHlcmHbtm0oLCwE\n","AAwePBgTJ07Exx9/jI8//hiTJk1CZmYmAKCwsBAffPABAIRUpzmHw4Ha2lqvhyiG1s3skfO1lCwI\n","ISHrCSPwhfwOf/rpJxQXF+ORRx5BWVkZMjIy1GXp6ekoLS0NOB9ASHWaW7lyJcxms9ejpKQkpPdz\n","tpr6cCKEhC65m4+FAYSYMKxWK2bPno21a9ciIyMDkiRBp2u6BuA5TRVoPoCQ6jRXVFQEq9Xq9cjP\n","zw/lLeGG7D4h1SOEEEAeha+7a3PCsNlsmDFjBpYsWYKCggIAQFpaGsrLy9Uy5eXlSEtLCzg/1DrN\n","GY1GJCYmej20yaYtQunSmBBCPG7LHxTpEMKuTRe97XY7pk+fjttvvx0LFixQ5z/yyCNISEjAypUr\n","UV5ejry8PHz77bdgjGHcuHH49ttv0a9fPzz55JNobGzE6tWrQ6oTjPZc9D512YZTFTboBV4ZXhX4\n","6lQl1n52KqT1EUK6p9Lnb450CBHRpttqX3/9dZSUlMBut+O1114DAIwZMwbPP/887rnnHowbNw4A\n","UFxcrB4V/PGPf8T06dMhCAKys7Oxbt06AMCKFSvaXCfcslLikZXi3bz/Z0N6IznOgBd2HVdaOXdK\n","KISQKOYZ7Cw1MQaDU+KQ0TsOCUahqSdd5dkgNPWu63eZpoxex8Eg8DDqdOq8aGtJTiPuteK3237A\n","5q9/6rD1EUJIsIr+axhuubo/wACRMbjcDC61cWFTw8KhqQlIjAn/mOLU0rsVYwaYsfnrSEdBCOmJ\n","Vv7fMaz8v2NBlf3u99OQFOY7tShhaFz1u4/gErvVARchpIewOdxhTxjdv6VJG1CyIIR0VY1BdODY\n","XnSEQQgh7cRxQMlvpyIlIXB/Up5hY7XDxzLNMLLNl0kSg0vpJNElSnCKktoposvtPT0yzYxBvcLb\n","3x5ACcNLrzgDKuuD7c2fEEJkHACLqeWLzhwnD8fs289u10GnpBQNTjclC0JISCQGfHLkUqTDCDs6\n","wlDYneE//0cI6b4WbvoWq2/LVU81McijVEqMgcH3VFSgU1QM8nRWSjymDu8TVeNuUMJQnKu2RzoE\n","QkgXt2jLdx26vhW/Gok7JqR36Drbg05JKYb06f4DuBNCupactMTWC3UiOsJQ1DW6Ix0CIaSLe/IX\n","2bhzYjoSOqHVdSTQEYYi1kBDtBJC2ufFfx7HpOd34+VPfkRNQ/e7iYaOMBTmWD3+/eQN+PFSHZyi\n","BKdbgsMtot4h4g87j0Q6PEJIlLtxWB+UnKlCbaMbr/zrBF751wncNTEdD0zJQp8EIwSei6oL2KGg\n","hKFx9GItCt/+JtJhEEK6oN3HKnzmvflVGd78qsxr3qQhvfDOgvFdMnlQwtA4c6U+0iEQQrq5L09W\n","4u/fl4Pn5CMODnJLcU5p0Ce/lp8BDp68Is/TlFfnc5iY1Qsx+vCfVqeEofHAdYPx+fHL+Op0ZaRD\n","IYR0Y4+/e6BD1zcgKRafP3lD2MfPoIShMfi3H0U6BEIIabPsvgnojLGW6C4pjczecZEOgRBC2uxf\n","xyo6pfExHWFo7FlyPUSJwemW75JqdIs4W9WAX7/6VaRDI4SQFrlEKezboISh+H+nrmDeazS0HiGk\n","6zEIPDJ6hf8MSZtOSdlsNtx///3gOA5ut9wyur6+HnPmzEFOTg5ycnKwc+dOtfyOHTvU+XPnzkVD\n","Q0PIdcKN+pIihHRVj944BHwnXMTgGGNBDzO3fPlyjB49Gr/+9a/hcrkgCAKWLl0Km82GNWvW4PTp\n","07j22mtx5MgRSJKEnJwc7N27F5mZmVi4cCEsFguee+65kOoEa/HixXjppZdC+jB2HDiP4i9OK7e7\n","AYwB35+tCWldhBDSXu8/NBF56cmRDkPVpoShVuI4NWEMHToUW7duxejRowEAt9xyC+bMmQNJkrB1\n","61Z88MEHAIADBw5gzpw5OHbsWEh1ghVqwvjhnBUz//yfNtcjhBCPazKSwHEceA7gOU798clr5nkt\n","56FMy4MraZcP6ROPAUkmMHi6PZe7QgfkH7MOt4jymkaUV9sxpE887pmUEfa2GO2+hlFWVoaMjAx1\n","Oj09HaWlpWCM+Z0fah1/HA4HHA6H1zxRDG1ci6MXa0OqRwghHvtKqyO2bYHncP/kwWHdRrtvq5Uk\n","CTpdU1YTBAGSJAWcH2odf1auXAmz2ez1KCkpCel9TB3eN6R6hBASDcYOsoR9G+1OGGlpaSgvL1en\n","y8vLkZaWFnB+qHX8KSoqgtVq9Xrk5+eH9D66Y8+ShJCeY0S/8I+d0e6EMXPmTGzcuBGAvIPfs2cP\n","CgoKUFBQgD179uDChQsAgOLiYsycOTPkOv4YjUYkJiZ6PbRHKG2R2TsOT988HPFGwetBCCHR7vGp\n","QxHXCfurdm9hxYoVuOeeezBu3DgA8k7ec1Twxz/+EdOnT4cgCMjOzsa6detCrhNuX52qxP/+42in\n","bIsQQjrSy5/+iDEDzbg+u09YtxPSXVLRLNS7pJZuPYh3958NQ0SEEBJ+k4b0wqb7JoR1G9SXlOK/\n","RqVGOgRCCAnZ2IGWsG+DEobi8x8vRzoEQggJ2eyrB4R9G3RVV/G76cOx8cvSSIdBCCGqRTcOwaBk\n","EwC54Z7DJaK20Y26RjfqGl2oa3TD5nBjRL9E9DPHhj0eShiKGrsr0iEQQoiX1btPBlVu97EKxBkF\n","PHR9VljjoVNSip0Hzkc6BEIICVl+ZlLYt0EJQzF9VL9Ih0AIISHbfawi7NughKHYe6Yq0iEQQkjI\n","Dp8Pf394lDAUo/ubIx0CIYSErKQTfvRSwlAcvUC91RJCuq7M3lE24l53lmqOiXQIhBASstEDwn+W\n","hBKGoqaBbqslhHRdW0rC37URJQyF3RXawEuEEBINJg3pFfZtUMJQ3DgsvL08EkJIOH15sjLs26CW\n","3ooYvQ6lz9/sM//1/5zBip1HIhARIYREFzrCaMXVnTDsISGEdAWUMFpRVtkQ6RAIISQqUMJoxTdl\n","1ZEOgRBCogIljFbE6OkjIoQQgBJGq345tn+kQyCEkKhAd0m1YmR/M777/TSU19jBGMDAIDFAYgyM\n","ya+ZMj13/d5Ih0sI6aHuvjYj7NuI2oSxY8cOFBUVAQBGjRqFDRs2wGQyRSSWpDgDkuIMrZZ7e0E+\n","7ni9pBMiIoQQb58drwCQE9ZtcIwxFtYthODKlSvIycnB3r17kZmZiYULF8JiseC5555rte7ixYvx\n","0ksvdUKUhHQ9nn93z389az5fnfYs9y6PVpa3tj6EWI+BNavfxjg6Kv6A5f2vTz4TAYgSg8gY1u45\n","hU+PXkI4fLp4Mob0SQjLuj2i8gjj448/xqRJk5CZmQkAKCwsxJw5c3wShsPhgMPh8JonitTFByGB\n","cBynPPss6fRYeqLiu8YFVU6SGD49egnTRvRV/2bRICovepeVlSEjI0OdTk9PR2lpqU+5lStXwmw2\n","ez1KSuiUECGka+N5DgU5qVGVLIAoTRiSJEGn06nTgiBAkiSfckVFRbBarV6P/Pz8zgyVEEJ6jKg8\n","JZWWlobDhw+r0+Xl5UhLS/MpZzQaYTQaveZpEw0hhJCOE5VHGAUFBdizZw8uXLgAACguLsbMmTMj\n","HBUhhPRsUXmXFABs3rwZL774IgRBQHZ2NtatW4eEhNbvAJg1a5bX9Q8tURRRUlKC/Pz8LnEk0pXi\n","7UqxAl0rXoo1fLpSvOGMNT09Hb/5zW9aLRe1CSMcamtrYTabYbVakZiYGOlwWtWV4u1KsQJdK16K\n","NXy6UrzREGtUnpIihBASfShhEEIICQolDEIIIUHpUQnDaDRi+fLlPrfiRquuFG9XihXoWvFSrOHT\n","leKNhlh71EVvQgghoetRRxiEEEJCRwmDEEJIUChhEEIICQolDEIIIUHpMQljx44dyMnJQU5ODubO\n","nYuGhoZOj8HpdOLpp5/G2LFjkZ+fj1/84heoqKjAG2+8gQEDBmDChAnq49y5cwCAr776Crm5uRg1\n","ahRuuukmVFRUAJC7CXj44YcxYsQIDB8+HK+//npYYs7IyPCK65lnnmlx25GKt7i42CvOa665BpmZ\n","mVH12dpsNtx///3gOA5utxsAUF9fjzlz5qjfzZ07d6rlA31nQ6nTUfHu27cPN9xwA8aPH48xY8ag\n","uLhYLe/vuwK0/HkG+ht0RKwd/bcPZ6zaGCdMmIB+/frhzTffBBDZz9UH6wEuX77M+vTpw06fPs0Y\n","Y+yhhx5iRUVFnR5HaWkp+9Of/sREUWSMMbZkyRK2bNkytnHjRrZ8+XKf8i6Xiw0YMIB9/fXXjDHG\n","Vq1axW677TbGGGNr165lN998M5MkiVVWVrJBgwaxI0eOdHjM6enpPvMCbTsa4vXYtGkTu++++6Lq\n","s/3v//5vtnXrVgaAuVwuxhhjTz31FFu4cCFjjLFTp06xvn37ssrKyha/s6HU6ah416xZw06ePMkY\n","k/+v4uPjmc1mY4z5/64wFtr3pSNi7ci/fbhj1RJFkeXk5LDS0lLGWGQ/1+Z6RMLYtGkTu+WWW9Tp\n","77//nmVnZ0cwItnKlSvZE088wTZu3MgGDhzIcnNz2XXXXce2bNnCGGPsyy+/ZLm5uWr56upqZjKZ\n","mCiKbNq0aWz79u3qsscee4ytXLmyw2PMzMxkEyZMYKNHj2b33Xcfu3DhQsBtR0O8Hrm5uezYsWNR\n","+dlqdxRXXXUVO3DggLrsV7/6FduyZUuL39lQ6nRUvFoOh4MlJSWx6upqxpj/7wpjLKTvS0fE2pF/\n","+3DHqvXBBx+wefPmqdPR8Ll6ROV4GB0t2BH8OtNPP/2E4uJifPrpp0hNTcVdd90FjuNw6NAhTJ8+\n","HSkpKaioqPCK22KxQK/Xo6Kiwu97OnbsWIfHeejQIZhMJjgcDjzzzDO49dZbcenSJb/bTk9Pj3i8\n","ALBr1y6kp6cjOzsb6enpUfvZAoG/m4yxgN/ZUOqEw9NPP40777wTFosFgP/vyr///e+An2dL35fU\n","1NR2xzd37twO+9uHO1atF154Aa+++qo6HU2fa49IGMGO4NdZrFYrZs+ejbVr1/p0xT5y5EgUFhbi\n","H//4B/Ly8ny6MfbE3lnvyWQyAZBbma5YsQKJiYno27ev3203jykS8QLAqlWr1PHfY2Ji1PnR9tkC\n","gb+bjLGAMYRSp6O98cYb+O677/DRRx+p8/x9V6xWa8B4W/q+dISO/NuHO1aPzz//HImJiRgzZow6\n","L5o+1x5x0TstLQ3l5eXqdKAR/DqDzWbDjBkzsGTJEhQUFPgtI0kSEhMTfeJuaGhAfX09UlJSIvae\n","BEEIuO1oiLekpASiKGLixIl+l0fbZxvsZ6mNIZQ6Helvf/sbiouLsW3bNuj1+oDlBEGAyWQK6fsS\n","Du3523dWrKtWrcJTTz3VYpmIfq7tPqnVBZw7d46lpqay8+fPM8bki82PPPJIp8fR0NDArr/+elZc\n","XOw1f/Pmzcxut6uxDh48mB0+fJjZ7XbWt29fdujQIcYYY3/+85/ZjBkzGGOMvfjii2zu3LmMMcas\n","VivLyspi+/fv79B4Dx48yPbt26dOr1ixgs2bNy/gtiMdL2OMzZo1i+3YsUOdjsbPFppz1w8//DBb\n","tmyZGl/fvn1ZeXl5i9/ZUOp0VLx///vfWV5eHquqqvIqE+i7wljgz7Olv0FHxNqRf/twx8oYYwcO\n","HGB5eXleZaLlc1Vj7pC1dAGbNm1iY8eOZePGjWPz589ntbW1nR7D6tWrmclkYuPHj1cfDzzwAHv5\n","5ZfZ6NGjWV5eHhszZgz78MMP1TqffPIJGzduHBs3bhybMWOGesGrsbGR3X333Sw3N5fl5ub6JKGO\n","cPr0aXbTTTexsWPHspEjR7K77rqL1dTUtLjtSMZ7/PhxNnLkSCZJkjovGj9b7Y6iqqqK/fKXv2R5\n","eXksLy/PK75A39lQ6nRUvL169WJDhw71+g6XlJQE/K4w1vLnGehv0BGxdvTfPpyxMsbY/Pnz2V//\n","+levMtHyuXpQ54OEEEKC0iOuYRBCCGk/ShiEEEKCQgmDEEJIUChhEEIICQolDEIIIUGhhEEIISQo\n","lDAIIYQEhRIGIYSQoFDCIIQQEhRKGIQQQoJCCYMQQkhQKGEQQggJyv8HPRoDY/VSUxsAAAAASUVO\n","RK5CYII=\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-3d6d797a-c3fe-4e2a-a706-f0ef68ed8f8b\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-3d6d797a-c3fe-4e2a-a706-f0ef68ed8f8b\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["import numpy as np\n","from google.colab import autoviz\n","\n","def value_plot(df, y, figscale=1):\n","  from matplotlib import pyplot as plt\n","  df[y].plot(kind='line', figsize=(8 * figscale, 4 * figscale), title=y)\n","  plt.gca().spines[['top', 'right']].set_visible(False)\n","  plt.tight_layout()\n","  return autoviz.MplChart.from_current_mpl_state()\n","\n","chart = value_plot(_df_8, *['등록일자'], **{})\n","chart"],"text/html":["      <div class=\"colab-quickchart-chart-with-code\" id=\"chart-ef52fe27-cb96-4599-8884-3243ea28ccfd\">\n","        <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYwAAADECAYAAACMRRb/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\n","bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9h\n","AAAPYQGoP6dpAABA8klEQVR4nO3dd1hT1xsH8G8gCAICskU2CiqCIshQcYs4qLVWq9S66qijddaC\n","YosTtbW22qptcbSOjl/dq46Kow5wD9wDB6IIyoYAyfn9gVy5JIEAWeD7eR6eem9u7nkJad7ce855\n","j4AxxkAIIYRUQkfTARBCCKkdKGEQQghRCCUMQgghCqGEQQghRCGUMAghhCiEEgYhhBCFUMIghBCi\n","EEoYhBBCFEIJgxBCiEIoYRBCCFEIJQzyVjMwMIC+vj4MDAykfkJCQrjj0tPTYWxsLPOnXr16GDFi\n","BO+8N27cQGhoKExNTdGsWTPExsbyHhcIBLh586bcuMpW7Bk8eDCio6OV8vsSUhNCTQdAiKYdO3YM\n","gYGBFR5jYWGBnJwcmY9FRUXhyZMn3HZWVhZ69OiBKVOmYOvWrUhMTET//v1hYmKCQYMGST1/woQJ\n","2LJlCwBAR0cHxcXFMDIyQkpKSg1+K0KUj64wCFHAy5cvYWtrK/Pnu+++4x0bFxcHAwMDzJgxA0ZG\n","RvD398enn36KTZs2yTz3qlWrkJGRgYyMDLx8+RITJ06Ev7+/Gn4rQqqGrjDIW69Hjx7Q1dWV2u/u\n","7o6EhAQAgEQiwfPnz/HixQtYWlpWeD6BQCC1T9Gi0MXFxfjjjz+wZMkShY4nRJ3oCoO81QoKCpCd\n","nc19wy/7U5osyvL09JR5leHt7c0d06VLF4hEIixduhQ5OTmIj4/HihUrMGzYsErjWblyJcRiMd5/\n","/33e/nnz5kEoFGLixIk1/6UJqSZBbV8P4/bt25g+fTpSUlJQVFSEgQMHIioqSuq43NxcjBo1Cteu\n","XQMALFmyBH379kVhYSHmzZuHPXv2oF69emjYsCE2btwIa2tr/Pfff5g1axZyc3PBGMOAAQMwe/Zs\n","AEBhYSEWLFiA+fPn486dO2jSpEmFcc6fPx979+7ltvPy8mBhYYG4uDglvhpEUf3791e4j6BVq1b4\n","6aefePv8/PzwySefYPTo0TKfc+vWLUybNg1nzpxBo0aNMH36dIwcOZJ7XCAQ4MaNG2jWrBm3Ly4u\n","DuHh4TA3N8f48eMxadIkACWd3s2aNaOOb6Jxte6WVFJSEkaMGIGjR48CABISEjB37ly0adMGBQUF\n","cHd3x8CBA+Hh4cF73rx582BpaYnExETcv38f7dq1w/Xr15GdnQ0bGxtcuHABOjo6+Pzzz7F8+XLE\n","xMQgPT0dmzdvhoODA0QiEVq0aIGwsDB4e3vjl19+gZ2dHZycnBSKe86cOZgzZw63vWjRIoVvUxDl\n","++abb1BUVKTQsb1794afnx9v340bN7BgwQKsWbNG6th58+bBw8OD9wWhvPJ/+6NHj2LQoEHYtm0b\n","HB0dERgYiOLiYkyZMkWxX4gQNah1CaO8oUOHcv82MDCAoaGhzA+C7du34++//wYAuLq6IigoCAcP\n","HsTgwYPx6aefcsdZWFggLS0NANCvXz9uf0pKCsRiMWxsbACAuzWwePFiXjtZWVmYOnUqbt26hfz8\n","fISEhCAmJoZ3TEFBAdatW4ezZ8/W5FcnNeDm5gYAyMzMxLp167B79248efIE9evXh729Pbp164ZP\n","PvkEhoaGOHLkiMLnNTY25v69ePFiqfdHqczMTNy4cQMODg6YNWsWNm/ejC1btiA4OBgAcPjwYfTu\n","3Zu+VBCtUusTRlmrVq1Cs2bN0LJlS6nHHj58CGdnZ27byckJSUlJvGMePXqE2NhYHD58mLe/S5cu\n","OHv2LH755RcuYcgzffp0dOzYEWvXroVEIkFYWBj27t2LPn36cMds2LABYWFhaNiwYdV/SaI0xcXF\n","aN++PZo2bYpvv/0WLVq0AGMMly5dQlRUFLZt24b//vsPzs7O2L17NwYOHCj3XB07dsTBgwd5+yIi\n","IhARESHzeKFQyP3XysoKly5dgr29Pfe4p6cnzp8/D1NTU8THxyvhtyWk5mpNwjh+/DhmzpwJkUiE\n","e/fuITAwEA0aNMChQ4cAAIcOHcLatWvl9glIJBLeSBihUAiJRMJtZ2ZmYsCAAVi1ahUvsQAl95Yf\n","P36MHj16wNXVFQEBAXLj3LlzJ65cuYLVq1cDKLniePDgAfe4WCzG999/jwMHDlT5NSDKde/ePSQm\n","JmLPnj28v3lAQABiYmLQtm1bpKenw8LCAmFhYSgoKJB5njVr1uCPP/6Q2h8dHY0lS5bA1NRU6jFL\n","S0sIhULo6+vL7HMrPYYQbVJrEkbHjh1x5swZqT4MADhx4gRmzJiBAwcOwMTERObz7ezskJycDHd3\n","dwBAcnIydyWSk5ODvn37YsaMGbzZvWU5ODggNDQUx48frzBhAMDu3bthbW0t87GtW7fCz88Pjo6O\n","lf3KRMXc3NzQvHlzzJgxA9HR0fDw8ABjDFevXsXs2bMRFBQECwuLGrUhFovlJpq4uLhKB0sQolVY\n","LfPgwQPWqVMnbvvMmTOsRYsWLCkpiXdcUVER69KlC7t58yZjjLGJEyeyiIgIxhhjT548YTY2Niw5\n","OZnl5eWxzp07s9jYWKm2Vq5cyTIyMhhjjGVnZzNvb2926NAh3jFOTk7szp073Pbw4cPZF198wW1f\n","v36dPX/+nNv29fVlV65cqeZvT5TtxYsXLDo6mvn4+DArKyvm4ODA2rVrx7766iuWmZmp6fAI0Sq1\n","flitn58f0tLSYGtry+2bNWsWQkJC4OLigh07diAgIACvXr3CyJEjuRIO0dHR6Nu3L3744Qd88cUX\n","8PLy4p5fOozy999/x4oVKyCRSFBUVIShQ4di2rRpvPadnZ1x+PBh7ptiRkYGpk6disuXL0NPTw+W\n","lpZYv349rK2tcfjwYSxbtgz79+9XwytDCCHKVesTBiGEEPWgmd6EEEIUQgmDEEKIQihhEEIIUUit\n","SRjff/+9pkMghJC3Wq1JGA8fPtR0CIQQ8larNQmDEEKIZlHCIIQQohBKGIQQQhRSa2pJEULI204s\n","Yejx7THcT8uVeuzEzC5wMDdUafuUMAghRAs8Ss/DkF/OIDkjv1rPD14ah6TFfSo/sAbUmjB27dqF\n","yMhIAICXlxfWrVsHQ0PVZkRCCNEG+6+mYPzmCyo7/5HpnVR27lJq68NIS0vDmDFjsGfPHiQmJsLc\n","3BwLFixQV/OEEKJ2YgmDc8ReOEfsVWmy+DDAEa5WxpUfWENqSxgHDx5E+/bt4eLiAgAYN24ctm3b\n","JvNYkUiErKws3o9YLFZXqIQQUiO3nmXDOWIv3GbtU0t7C/t7VX6QEqjtlpQiS6SWiomJwdy5c3n7\n","AgMDVRgdIYTU3IexZ3Dybrpa2/R3MVdbW2q7wqhsidSyIiMjkZmZyfvx9/dXV6iEEKKwgiIxd9tJ\n","3ckCAP4Yo74v02q7wrCzs0NiYiK3nZycDDs7O5nH6uvrQ19fn7evbLIhhBBNO3U3DeGx8ZoOAzo6\n","ArW1pbaEERISglmzZiElJQWNGjVCbGwswsLC1NU8IYTUGGMMHZbEVXvoq7Kdieym1vbUljAaN26M\n","ZcuWoXfv3hAKhfDw8MDq1avV1TwhhFRbeo4IvgsOazoMKbamBmptT63zMMLDwxEeHq7OJgkhpNq2\n","xD/CrO1XNR2GTJG9mqm9TZrpTQghZRQWS+AetV/TYVRqbEdXtbdJCYMQQlAyd6Lnd8c1HYbCBAL1\n","dXaXooRBCHlrMcYwe8c1bIl/pOlQquRqdIhG2qWEQQh562TmFaHVvIOaDqPaGhjoaaRdShiEkLfG\n","oevPMea3c5oOo0bWDPXVWNuUMAghdVqxWIK+K//DzWfZmg5FKUJb2mqsbUoYhJA6KSktF52/Oarp\n","MJTK3KieRtunhEEIqVN+OHIH3xy8rekwVOJ0ZFeNtk8JgxBS62UVFME7uvZ2YitKX6jZmnqUMAgh\n","tdbpe+kY8ssZTYehFjsmttd0CJQwCCG1i1jCMG7jORy+karpUFTKxdIID9Jyue3WDmaaC+Y1ShiE\n","kFrh8cs8BC+N03QYalNQ9GaV0Y7uVhqM5A1KGIQQrabNBQBVZWR7Z6w/mcRtbxjRVnPBlEEJgxCi\n","dXJFxeiw5Ahe5RVpOhSN6NbMhpcw1LlIUkUoYRBCtMaFR6/w3qpTmg5Do1Z92AZD175Zye/EzC4a\n","jIaPEgYhRKMkEoaonbWvAKAqCARA12bWvH0O5oYaikaajjJPdvbsWXTp0gUBAQFo1aoVYmNjucd2\n","7doFT09PeHp6YvDgwcjLy1Nm04SQWiYlMx/OEXvhOmsfJYvXDk3thNZliiJqYs2Liig9YcTGxiI+\n","Ph7//vsvpk6ditzcXKSlpWHMmDHYs2cPEhMTYW5ujgULFiizaUJILbHzUjKcI/YiKOaIpkPRKiEt\n","bNDE2hgFRRJunyZW1auIUm9JTZgwgfu3iYkJ9PT0UFRUhIMHD6J9+/ZwcXEBAIwbNw4ffPABFi1a\n","JPM8IpEIIpGIt08sFss8lhCi/fILxRj002lcTc7UdChaa9mgVth9+SlvnyYWSaqIyvowoqKiMGzY\n","MJiZmeHhw4dwdnbmHnNyckJSUpLc58bExGDu3Lm8fYGBgSqKlBCiKlefZCLsh/80HYbWm9fPEw0M\n","9PDp7xe5fRfn9NBgRLKpJGFs2LABFy9exL59+wAAEokEurpvaqAIhUJIJBJ5T0dkZCSmTZvG2zdn\n","zhxVhEoIUTLGGJYdvI0f4u5qOpRaY2iAE7IK+EOIG2q4Mq0sSk8Yf/31F2JjY/HPP/9AT69kVSg7\n","OzskJiZyxyQnJ8POzk7uOfT19aGvr8/bVzbhEEK0T2pWAfwX/avpMGqdXZPaQ0dHwCueuPg9Lw1G\n","JJ9SO7137tyJpUuXYvfu3TA2Nub2h4SEIC4uDikpKQCA2NhYhIWFKbNpQoiG/HPtGZwj9lKyUNC8\n","fp68bW97MzDGePsG+zuqMySFKfUK4+OPP4aFhQV69erF7Vu5ciXatm2LZcuWoXfv3hAKhfDw8MDq\n","1auV2TQhRI0KisSYsPkCjtys2wUAVeHLnW/utqwd7gcAWHX0nqbCqRKlJoy0tDS5j4WHhyM8PFyZ\n","zRFC1Oz60yz0XnFC02HUWvPfbYk5O65x26VFBb8+cIvbd2NeqNrjUhTN9CaEVIgxhtXH7mHpP7cq\n","P5jIdXhaR3T/9ji3HeRqAT1dHaRk5vOOq19Pe/trKWEQQmRKyxGh5/LjSM8t1HQoajGqvQvWnXyg\n","knO7WRnhmwP8ZWPbuVkAAG8C42+j/FXSvrJQwiCE8By5+RyjNpzTdBhqNa6TK346dl9l5980OkBq\n","Zru/izkkEn5nt7aseyEPJQxCCAqLJYjYegXbLiZrOhSNUGWyuPRlD/jMP8TbV0+og1YOZpj61yVu\n","n6uVkcpiUBZKGIS8xe48z0aP5ccrP7AOC3Q1x5n7L1V2/qvJmSg3ahY+DmYw0NPFzktvSoEcnNJR\n","ZTEoi1LnYRBCtB9jDOtPPoBzxN63PlnMDPVQabJwtTLCR2sTuO1eLW0BAAGuFrj1LJt3rFBX+z+O\n","6QqDkLfEq9xCDPnlDG6W+6B6W83u3RwL991QaRuvygwYWDLAC8sP3QEABLiYo+d3b5L1/snBKo1D\n","WShhEFLHHb/9AsPWJVR+4Fuklb2pypMFAN4Ss0Gulvgi6yr0dAXwtjflHde8kYnKY1EGShiE1EFF\n","YgmidyViMy1MJNPlJ+ots35wakeceZAOoKQUyIDVb5ah7ePdSK2x1IT23zQjhCjs/oscOEfsRdPZ\n","+ylZKOjznh4qPX8Ta2O42zRA/Ou+kgAXc9x+nsM9/sMQH5W2r0x0hUFILccYw+b4R4gqU3KCKOb7\n","wa0x+Y9LCh07JtgFv5x4M7FPV0cAcbl5FLLsnNgeAJCQVHKFUSTmL+2gbYskVYQSBiG1VGZ+Ecb+\n","dg7xD1Q3yqc2CvW0xT+Jzyo9bmIXN4WTxaddm2DlEf76Hq6WRriTmiPnGW/aMNIX4mlGPh6/zIeu\n","joCXdE5HdlWofW1Bt6QIqWVO30uHc8RetJp7kJJFOVvHBymULFo7mOHHOMUqxIZ62koli/Uj2spM\n","Fkbl6kDNCCm53RX/uv/C1ZI/Oa+RaX2FYtAWdIVBSC1QLJZg0b6bKqt1VNsZ1dPFqchuaDX3YKXH\n","6giAS48zFDpvI1MDGOjxv1d/2rUJbylVAJjSvSm+O3wHuYVi3v7S202l/Rdlk8zU7u4KxaBNKGEQ\n","osUepeeh78oTyCoo1nQoWuvTrk0wpbs73GbtU+h4ed0ObRzNcOFRBm/f4gHeGF5uSHIf70a8Kw6r\n","BvooFkuf9LOuTbh/J8i4EpzcvalC8WoTuiVFiJZhjOGvc4/hHLEXHb+Oo2RRgZj3vDA9xEPhZCHP\n","/H6eUsnixMwuUsnixMwuCP2Ovx7I2dndceu59GTITh7WAEqWrr2flluj+LSFyhLGq1ev0KRJE0RH\n","R3P7fv75ZzRv3hwtWrTApEmTIJFI5J+AkLdMdkERRqxPgEvkPsz8+4qmw9F6X/ZtgSH+jgj9rmbl\n","TSZ2ccOcMqvglQpeGie1b+/VFN72+ajuAIBD159LHetgXtI/Iauf6fJXIdWKVdNUljDGjx+Pfv36\n","cduJiYlYuHAhTp48icTERCQlJSE2NlZVzRNSa5xLegnniL3wij6Io7deaDqcWmF6D3eM6uCClf/e\n","qbDUiVslFWBdrYyw7r8khdq8OT8Ui/ff5Lb7tbaDhbE+8sv1W5SyMtYHIPt2lGl9PYXa1DYqSRjf\n","f/892rVrBy8vL27fzp07MWDAAJibm0MgEGDMmDHYtm2bzOeLRCJkZWXxfsRi2X8UQmojsYRh6T83\n","4RyxF++vOa3pcGqVcR1dMalrE8TfT8eyQ7flHvdhgCPuvaj4VtCKwT7IL6r8s8WrsSmazfmHt+/7\n","wSUT7j79/YLM53Ad3q9HSJVa/kGrStvTVkpPGOfPn8exY8fw2Wef8fY/fPgQzs7O3LaTkxOSkpJk\n","niMmJgampqa8n4QEqoVDar8nr/IQvPQI3Gbtw6qjig3rJG98GOCIiF7NkJ5biA9+PiP3uM+6NUXi\n","06wKz3V2dnf0XfmfQu36OjXkbV+NLrmlJCoW4/CNVLnPe5lbyJvVDQD9fewValMbKTVhZGdnY8qU\n","Kfjpp5+kHpNIJNDVfTNGWSgUyu3DiIyMRGZmJu/H31+7ly4kRB7GGHZcTIZzxF50WBKHxy/zK38S\n","kdLfpzHm92sJsYTBb8FhucdN7tYUugJBhUNn321th7YL5Z+jrDVDfbHhVBK33cjUAA0MSm4p9fvh\n","JLc/uKml1HMTyl1d1KJJ3TIpdVjttWvX8OLFC4SFhQEAXrx4AZFIhJSUFNjZ2SE5+c1qXsnJybCz\n","s5N5Hn19fejr6/P2lU02hNQGuaJiTPvrEg4kSneIEsUY1tNFXqEYIS1s8PX73tDREcA1Qv6IqIld\n","3NDawQwjN5yt8Lw7yixcVJlPNp3nbR+YWrLQUVJaLq//pKenLU7cSeMdW77D++b8UIXb1UZKTRhB\n","QUG4efNNp9CGDRuQlJSE6OhonD17FkOHDkVkZCSMjY2xdu1aLrEQUpdcepyBd388WfmBRK4WjUzw\n","5FUesgqKEdzUEivDfSDU1YHnl//Ifc7HHVzQyd0ag36quE/IqJ6u1AQ7eexMDfA0s4DbHh7kBJPX\n","VxedvznKO7Zxwzeztvu1Lvky/NfZx7xj9IW1+4uv2ibutW3bFuPGjUNwcDCEQiHat28v1c9BSG0l\n","ljCs+PcOvv/3jqZDqfUWv+eFbw7eQlZBMXydGuKnj3yhL9RF1I6rcj/oB7d1QEd3q0qTBQCFkwUA\n","XrIAgNHBrgCAnZek1z5/lJ7H/Tvc3xGZeUW8traMCVC4XW2l0oQxYsQI3va0adMwbdo0VTZJiFo9\n","yyzAR2vjKy1CRxSzY2J7jN90Hmk5hfC0M8G6EW1hWE+IA4nPsOmM7HLtwU0t0cndSmqSnbL19rKF\n","g7khGGNSRQttTPR5czFcrYy59S9KtXOT7uOobag0CCHVsPdKCiZukT2cklTPqYiuGPLLGaRkFsDN\n","ygi/jfKHaX09PH6Zh3Ebz8t8jo4AeKeVHcZvVv3f4uMOJVcXZZNFf5/G2H4xGe42DXj9F5bG9Xgx\n","e9rVjhX1KkMJgxAF5ReKMXPrFey+rHiHKamcv7M5fvrIF4N/PoOH6XlwMK+PzaMDYWGsD1GxWOaM\n","61JRfVrgczXMim/tYAZfp4bIyCvErjJ/fzPDkv6M8gmj/BoXuyd1UHmM6kAJg5BKXEvOxDs//Ce3\n","aB2pvuk93DGivTOGxsbj1vNsWDfQx+aPA2FragDGGDyi5HdyT+neFPP2XFdLnKODXQCAN5z3fFR3\n","7mrDw6YB7/jjt/kz9nV0avl42tcoYRAig0TCsPrYPXx94JamQ6mzfh3lD39ncwxfn4DLTzLR0FAP\n","m0cHwNHCEADgEil/+OxHgU747rB6Bhg0NquPUE9bnEt6ieLX3xpCWtjAwlifKzrobstPGMPK9Kcc\n","mNJRLXGqAyUMQspIzS7AqA1ncS254lnCpGZOzOwCGxMDjN14DgkPXqKBvhC/jQpA09ff1Eesl9+B\n","7eNoho1nHqo8xtI5ICPbO0Ooq8Mr4bJmqC9e5RbiRbYIANDU2ljueTzKJZPajBIGIQAOJj7DWDkd\n","q0S5bs4PhVBHgE9/v4ijt17AQE8H60a2hZe9KQBgw8kHFRZhvFiuDLmq5BWKYawvxKC2DlhZZrh0\n","6QTC26+vLuwb1kd9vdo9v0JRlDDIW6ugSIzZ269h64Unmg7lreBqaYR/p3cCY8DMrVew/9oz1NPV\n","wc8f+aGtszkA4Mz9dETvVk+/REWCm1rixJ00fNDWAfpCHV6Rw4F+DgDAJQx3mwa4kpwp8zzHPu+s\n","8ljViRIGeevcfJaFAatOVWkCF6mZke2d8VWYJxhjmLfnOv4+/wS6OgKsGOKDju5WAIBbz7IxuIKC\n","gury59hAfPDzGegIgBHtnNH/x1PcY4endeL+XVpU0N2mAf4+/1jqPADgaG6o2mDVjBIGeStIJAxr\n","/3uAhftuaDqUt86P4W3Qx7sRAGDZwdtcIb+v3/dGaEtbAMDVJ5kI+0GxyrGtHcwUXpO7qiZ2ceOu\n","OENb2kIsYbieUtKf5WJphCZl+ipKO7w9bI0x9c/LUufydzGXGl5b21HCIHVaWo4IY387J7X8JlGP\n","Q1M7ch3Zq4/eww9xJWthz+/niffalJT5jruVipHrKy4WWOrDAEdsjpc941sZRrRzQfvFRwCUTNQr\n","Wy9q/+Rg7t+MMe6WVFNr2Z3a77ZurLI4NYUSBqmTqvIhRFTjanQIVwZ84+kkLPmnpDDpF6HN8FGQ\n","MwDgj4RHiNh2VaHzje3oip+P31dJrEBJZ/yqo/dQKJbAx9EMT169qQ01obMbDMp0bL/IESEjrwg6\n","AvCuOsrydzFXWayaQgmD1BmiYjHm7r6OLSr8Bkoq10BfiMtfhXCT1bZdeMKtmT2pSxOM7+wGxhiW\n","H7qNFUfuKnTO8Z3dsFqFC04tG1iyCt6m18N1R7Z3wWe/X+Qe/7ynB+/4289K+i+cLYx4iaSUpbF+\n","pcvD1kaUMEitdzc1GwPXnMarvCJNh/LW69fajlu6FAD+ufaMK90xop0zpoe4o0gsQcTWqwqNTmtg\n","IMSIds5YqWBiqa4Bvvb4PeERXuYWorFZfRxMfMY9tunjAKm+iNL+i6Y2sq8uAupg/wVACYPUUhIJ\n","w8YzD/HVrkRNh0JeW9TfC+EBjtz28dsv8NnvFyGWMLzva48v+7ZAjqgYEzZfkFpoSBb7hvUxoI29\n","ykvG31nYC4yVDIoAgHda2/GuZjrIWEnvTmmHt43s/osA17p3OwqghEFqmVe5hRi/+TzO3H9Z+cFE\n","bXZMbI/WDmbc9tmklxi78RwKxRL09rLF4ve8kJotwsgNZ3EjpfJZ9J52JghpYYvlh29XemxNbBkd\n","AD1dHRy9lYq7qTkw1hfykkXCrG4yn/fmCqMBzj98JfV4Xey/AChhkFrivztpGLo2XtNhEBnOR3WH\n","hfGbJZWvJWdi1PqzKCiSoJO7Fb77wAf303IxYl2C1IJEsrRzs0A7Nwt8c7BmyWLFEB9eP4TMtpqU\n","XD2UXl24WBrh6utJeN2b28DaxEDqOYwx3Hk9B8PDtgFClh/nPW5mqAd3OSOnajulJ4xLly5h4sSJ\n","EIlEYIxhy5Yt8PDwwOnTpzFhwgQUFxejcePG+O2332Btba3s5kkdUlgswaJ9N7hx+0T73F3YC0Jd\n","HW77zvNsfLQ2HtmiYvi7mGPNUF+cf/gKYzeeQ3ZBcaXnC/W0hZe9aY2LPr7Tyg5L9t+s8Jh7i3oD\n","KJnIeeJOGnQE4JIFAKwe2kbm855mFiBHVAw9XYHMiXn+zuZ1pjpteUpNGI8ePUJkZCS2bt0KW1tb\n","FBYWQiwWo7i4GIMGDcLWrVvh7++PpUuXYsqUKdiyZYsymyd1xP0XORjyyxk8zxJpOhQiR/smFtg8\n","OpC371F6HoaujcervCJ425ti7XA/HLz+DJ//7woKxZJKz9mvtR2a2Zpww2+97U1x5YnskhuVWfq+\n","N5rNkV8a/Z8pwdB9/aG+9kTJ1UXZ8vWL+ntBr0wiLOv2s5LbUS6WRpi9/ZrU43X1dhSg5ISxcuVK\n","dO/eHR9++CFyc3MxYsQIfPLJJzh16hSsrKzg7+8PABg7diwaN24MiUQCHR3pP4pIJIJIxP+wEIup\n","jENdxhjD7wmPMWu7YmPyifroC3UgKn7zgT8z1AMTOjfhHfMsswAfri1J8u42xvh1pD82xz/C4kq+\n","5ZcKbmoJTzsTLNpXcvyIds68hYqq4kFMb4zaIH8OThNrYzSzLVkBLzW7ADsvSbdTtvO+vLI1pGSN\n","9Ap0tahqyLWGUhPGqVOn4Orqiv379yM7OxsdO3ZEkyZN8OLFCzg7O3PHmZmZQU9PD6mpqbC1tZU6\n","T0xMDObOncvbFxgYKHUcqf0y84rw6R8XpRacIdXj72yOhCTlDQgIcrXA6ftv1qbePDoA7ZvwRw2l\n","54gwdG08Hr/Mh5OFIX4d5Y9vD93mSpB3b26DwzeeQx7Derro5G6FBXtLyrZM6+GOa8mZeJlbWOV4\n","L87pgWIJQ1wF1W4PTX2zPsWmM4+krn72fRZc/ik8pR3eBUXSX2IbGAjRvFHdWI5VFtnXXNWUlpaG\n","adOmoV69erCwsMCwYcOwf/9+SCQS6OryJ7cIhUJIJLIvUyMjI5GZmcn7Kb06IXXDmfvpcI7Yi1bz\n","Dr51yUKogvvbfV/XalJmsmigL+Qli1MRXaWSRVZBEYatS8Dd1Bw0MjXA2uF++HJnIjaeeQiBoGRW\n","d0XJAgCmh3hwyWJyt6Yl8yCuV/wcWTZ+7I+GRvUQs0/+Vc3JiK7c/IiCIjE3Ua+Uk4UhWlSy/nbp\n","FcbhG6lSj7V1NududdVFSk0Y1tbWMDF582ILBAIIhULY2dkhOTmZ25+Xl4fc3FxYWVnJPI++vj5M\n","TEx4P+UTDql9CosliNl3A84Re7WiKqk8lsb1VHJePd2SD5JiJa/1enBqR+y5kqK0883q3QwAkC16\n","00l9c34o7Mzq847LKyzGqPVnkfg0CxZG9bByiA9m/O8KDl1/jnpCHfwwpA3XHyHPl31bYP7rZVY/\n","69oEH7R1QPRu2XNrlr7vLfc8g9s6ILipFSQShnUnH8g8ZkAbezQu8ztsv5gsdRWzq5K1t8UShrup\n","OXIfr8v9F4CSE0ZYWBhWrlwJAMjOzsbGjRvRq1cvBAUF4f79+0hMLHkjrF+/Ht27d4eenp4ymyda\n","6lF6HoKXHoF71H78pMJaQDXRxtGMK7OdllP1WyEVEQhKOomLxMpNFOtHtMWYYBepYZ01sXNie64f\n","ASiZmPYgprdU+QtRsRjjNp7HuYevYGIgxIJ3W2LG/y7j0uMMmNYvWWp14pYLFbY1rYc7tyb3pC5N\n","MLWHO77YekXmaKpVH7bBzNczxmVZPKAkmchLFgDwzcA3Cae0enFZH3dwgWn9ij+THr/MQ0GR/A78\n","gDqeMJTahzFt2jSMHz8eXl5eAIAxY8agc+fOAIBNmzZhxIgRAABbW1v88ssvymyaaBnGGLZeSMaM\n","/0mXfdYmn/f0QFqOCOtPJqnk/F08rHDlSSZO3k2v/GAFWTfQR/ysbhWueV1VVg30MfcdT/T78SS3\n","b2xHV8zq3Vzq2CKxBJ9uuYgTd9JgWE8Xk7u7Y/aOa3iZWwj7hvWxYaQ/vtolPXqorD7ejfDt60WJ\n","xnd2w/QQd2yKfyRzBvjMUI8K+zMexJQMj2WMcbe2yrswpwevVMexOy+krhRk/a7lld6OkqdlY9NK\n","z1GbKTVhCIVCuYmge/fu6N69uzKbI1ooq6AI0/+6jEPVuAetTltGB+Dms2zuG66ytXE0Q7fmNjWe\n","T1DehTk9kFdYrNRksXl0AOJupmLC5jdXBGuG+nJrVZQlkTB8/r/LOPj6ttMgPwd8feAmCookaNnY\n","BOtGtMX+q88qTZB7X99CG9fJFTN7euBheh6iZZR56e/TGMODnOH51QGZ57n8ZQiXCOTdlvsitBnM\n","jfi3GUuH0nLbw/0U6nuoKGEEN7WUOxS3rqCZ3kQpziW9xPtrTms6jEqdjOiKK48zEB6rvFnjeroC\n","7nZTU2tjTO7eFJO2XFTqGhyzejfD2I5uWH7otlJrK91d2As9vzuOey9yuX3/Tu8ENyvponqMMczZ\n","eQ07Lj2Fro4AQa4W+O10EiQM6OxhhR/D2+D+i1yF63uN7eiKiNBmkDBgxv8uQ1yub6eJtTGWf9Aa\n","3ZYdlfn8P8YGwtTwzS2kT+XM6h7f2Y23ffNZFv67y7+S6dbcRqGYbz2X339R129HAZQwSA0UiSVY\n","8e8dlVcSVYYb80Jx5UkGtziOMhjo6aCgSIIiMYOdqQGm9nBHZn4RJm2puBxFVd1f1BsCAeAcsVdp\n","5wxpYYMVQ3zQZPZ+3v5rc3vCWF/6Y4ExhsX7b3KLF9maGODY69Ftg9s6YMG7LZFXJFZ41byPO7gg\n","slczCAQCxB6/h3My6jEdmtoRd1NzeMms1Ih2zrz5Dqfuyi5meDU6RGpf+auL4593UShmAIi/L//K\n","KaAOz78oRQmDVNmTV3kYvi5B5v/I2kRPV4Bb83vhTmoOmn8pf9ZvVenqCCCWMBQUSdDQUA8TuzRB\n","T09bBC+NU1obwJvV6p5nFSBg0b8KP6+PVyPsvSp/1NS/0ztBX6jDmwltblQP56O6yy3J/WPcXd6A\n","heSMfADA9B7umNS1CRgDvKMPKhTfyPbOiOrTHAKBALeeZSNGxuS+0rId3b89JvMc0e948rZlXTF+\n","P7g1t4BTqdTsAvzv/JvJdl08rOBoodi620ViCVKz30woHuhrzzuXt33d7r8AKGEQBTHGsOvyU0z+\n","45KmQ6lUWCs7rBzig+SMfLjOUt69/lJiCUN9PV2MDnbBmI6umPrHJbmdrdXR17sRfggvqWP08/F7\n","vFFLlWnfxKLCZPEgpjf+u5uGj9YmcPve97XHN68XEJJl/ckHUoUAhToCLB7gjfd9S5ZZdYlU7Opn\n","RDtnfNm3BQQCAYrEEozffF7qmOvzekJXR4Ct52Wvl1HayV3qqpzyIf1kLJG6odzghtLXWREP0vhf\n","kJa+781LGPrCuj/0nxIGqVB2QREitl3lOim12eL3vDDY3xEZeYVKvX1TllBHgPAAR0zq2gRPXuUr\n","/K1aUTfnh3JDWKvyOyx+zwsR267K7Wye2t0dk7s3xY9xd3kd8Uvf98YgPwe55/3r3GPM3c0fGGCs\n","L8TqoW0Q3LRkGLKit/mGBTnhq7AW3FXMyiN3cb/cVWr8rG4wrCdEXmExpssYYXclOkTqKkjWbbAb\n","80Kl9hUUibGqTOnyOX1bwEjG7Td55uzgj/yqiwskVYYSBpHp0uMMvLfqJJQ8x0wldk1qD297M+QX\n","itF12VGpDyFleaeVHaaHuMPGxKDCwnbVsW6EH7o2K+l4TcsRwW/BYYWfe/nLELSaJz9xXZzTAw2N\n","6mHIz2d4M7d3T+oArwpuo+y9koKIrfy5DzYm+lg/wp+bDb14/03u9lRFhgY6Yu47ntyH7JUnGVhR\n","rvN+96QOsHldTnzAaukBFFvHB8Gk3C2mey+kO6G3jA5A/XrS3/bLz7sY2c650rhLMcYQ/4A/i15V\n","X0q0GSUMwikSS7D66D1ufLy2K12HoUgswdjfzlWrnIQiOrpbYWZPD7RsbIqNp5O49amVwbqBPhJm\n","vxluvvHMQ6lvsvJM6tIEA/3sK0wWSYv7oFgskfpwK00i8sTdTMWUPy/yvjC42xhj/Uh/brb0sdsv\n","sOZY5etshwc4Yt47LXklOd754STvmMXveXHJ60FartQiS590coOvk/QopG7LpPs42pUrXwKUDAcu\n","e2X19ydBvBLk+YViXHqcgSG/aG8FAm1ACYMgJTMfozacU2glNG1we0Ev1BPqQCJhWLDnOmL/kz+7\n","tyZaOZjhi1APtHOzxItsUZW/UZav8lpe+YWHqnL+q9EhOHUvHZ2+Pirz8R/CfdDX207m1cq9Rb0r\n","nHNw5n46Ptl0njczPdDVHD995MfNhH6WWYDh6xLknYIzuK0DFvRryftw/nInPyF2aGKJwf4l1WEZ\n","Y+jyjfTvFNGrmdQ+WVc2txf0ktrHGEPkNn4V5NowBFwbUcJ4SzHGsO/qs0rLN2gLZwtDxM3oDIFA\n","AMYYYk/cV2pHc1muVkaY2dMDPT1LJq6N33Qe+689U/j5jUwNkJJZIDdZlM6pKJWRV4jW8w4pdO4+\n","Xo3w44dtELH1Cv44+1jmMaUJ9cKjV3hv1Sluf2cPK2wYWXERz0uPM/DxhrO82N9pZYevB3pznbqF\n","xRIExlQ+amuQnz0W9ffiJYv4++n46xy/M3vT6ADu32X7GEqV7+QuJavvxD1qv4wjVeOPsYF1upS5\n","LJQw3jK5omLM2XEN2y4mV36wFvi4gwvm9G3Bbe+6/LTSZTery9bEAFN7NMWANvYQ6urg8uMMXqkM\n","RYS1ssPuCtZxuL+oN+8DdOv5JzI7d2U5E9kN1g305V6JtGhkgn2TS0pzbzrzEFFlbm3N7t0cYzq6\n","Vnj+m8+yMDQ2HrmFb8p2f9LJDTN7enAxM8YU+lB+39cei9/z5v2uOaJifFCu6GTZZJBfKJaaGX9x\n","Tg/svZqi9Lkt1VHZAIG3ASWMt8S15Ey8v+ZUhYXTtMmaoW0Q2rIRt33qbppSZ2eXZVpfDxM6u2F4\n","O2cY6OmioEiMFl/uV2iVuFJRfZpjwd4bcpPFgSkd4WHLX+fZfbZibbhZGeHf6Z2RXyiWO0x458T2\n","aOVgBgCYtOUCr0yGIt+EH6TlYsCqU7xkMb+fJz4KcuYdp0hJknda2WHJAG+pZUpblivvkTi3JzbF\n","P6qwz8ZnvmJXXjU1uoMLosp8MSGyUcKow4rFEvxy4kGlJaa1yeFpndDE+k1ZisSnmeizQrHZw1Vl\n","oKeDUe1dMK6TG3dv/veER1L3uysyuVtTFBSJ5d4e6+PdCD+WG+ufXVAELwWH4/4zJRjNbE3wLLNA\n","7m2gBzG9IRAIIJEweH51APllFvY5E9kNtqYGFbbxNCMfPb87jsIyt6F+/sgXIZ78WlKdvq58YmKQ\n","qwWWf9AaOoKSyq4VTWaUVx9K2XR1BLi7sNdbOQxW2Shh1EHPswowbuN5XHqcoelQFHYlOoQ3ZLKy\n","D5ua0NUR4IO2DpjcrSk3jPNFtghtFyo+lLVlYxMs6u8lNdqnrLJzKkrtu5rCK/JXkaTFfQAAp+6l\n","IfwX6aurXi1tsXqoL4CSoo/l54SU9mVU5EW2CO3K9QVsn9AOPo4Nefti9t/Aw/S8SmM+fT8dbiqY\n","LFmRuwt7QVjHi/5pC0oYdQRjDAevP8e4jdIzZ2uinq5OlW7NVFX5ETvpOSIExRxRWZt9vBtheg93\n","uL4urscYw5Q/L8lc11meI9M7YfflFLnJInaYH7q3kC5m5/XVAd6iRPJsGR3ADQ2N3pWIDaeSpI45\n","FdGVW9Do1rNs9PzuzZoYLRubYPekDpV+o87MK+IlyXpCHfwzORjGBkKVDlOuioRZ3WBtUvEVElEf\n","Shi1XF5hMebtvi53xEx1OFsYQlQsQUpmgUo+uINcLbBlTADvAy1XVIwBq0/h5rOK1xuorg5NLDEz\n","1APe9mbcvqtPMhUulgeU1CZqZW+GzjKGfQKAhVE9nJNRjymvsBgtvlTs9kvp7SXGmNz+gtIrDwDY\n","ffkpr0rrhM5umBkqPQQVKEmOWfnFOH0/DZ9skr7KKSyWoKuMeQ2qUr6fimg/Shi11PWnWRj882lk\n","yVidrLr8nBoit1CssvkYX4Q2kyo1XVgswae/X8CBRNV8m/VqbIovQpuhQ9M3k7lExWL4LTgsc2U3\n","Wd5pZYflH7TG2v/uy00WZ2d3h1UDfan9h64/x5jfzlXaxrKBrTDgdV2mgiKxzJnk77Syw4ohPtx2\n","+auP1R+2gZu1sVbMQA5uaonfRvlTv0Edo/SEcfjwYcyePRs6OjrIz8/Hu+++i+joaADAzz//jOXL\n","l0MgEKBr165YsWIFdHTo3qOiisUS/Hr6IbcGsjK0bGyCxmb18TSjQGaJaWUoe4ullFjCsGDvdZWt\n","dOdiaYQZIR7o7WXL+9D637nH+LyCpT7LuzinB0TFErn35WeGemBC5yYyH/P88h/eqCN57izsxS28\n","k5pVAH8ZlWnPR3WHmLEKk8F4BftGlEGR/hFS9yg9YYSHh2PPnj3w9/dHfn4+AgIC0KFDBzRq1AgL\n","Fy7ExYsX0bBhQ4SFhSE2NhZjx45Vdgh1Tmp2ASZtuYiEcrVsaiKslR2M9YU4dS9NZd/uT0Z05cpI\n","lGKM4efj92WWtFYG6wb6mNy9KQb5OfBWP6tqfaa/xgWhrXNDbDzzEF/KKQUib8a0vCuE8j7t2gTT\n","QzwUeo5vFWKvKVlDgAkBVJAwbG1tkZqaCgDIyclBcXExLCwssHPnTgwYMADm5iX1YMaMGYPVq1fL\n","TBgikQgikYi3Tyyu/JtaXcIYQ9ytVIzaUPntDEXZN6yPfq3tICqSYN3JByorLHhjXqjM4m/bLz7B\n","1D9Vs8Z3AwMhxnd2w8h2Lry2GWOY+ucl7FCwU/uzbk0xrYc7XuYWyu1D2D85GM0bmch87GDiM4xV\n","cODByiN3NbL41J9jA+Ftbybzb0RIRZSeMPbs2YNu3brhs88+Q2pqKlavXg0fHx+sWbMGnp5vFj1x\n","cnJCUlKSzHPExMRg7ty5vH2BgYHKDlUr5ReKEbP/Bn47/VBp5+zWzBpdmlnjbmoOfoyrvFhcdegL\n","dXBjXqjUZC0AOH77BYYpUHeoOurp6mBke2eM7+wGM0N+Mb1ryZnou1KxTm1bEwMc/bwzDPR05c7F\n","CHAxx5/jgqT2303NkbvQj7rtmNgennYmdX5taaIZSk8Yw4cPR2RkJEaNGoVHjx4hNDQUvr6+kEgk\n","0NV9841GKBRCIpE9AicyMhLTpk3j7ZszZ46yQ9Uqt59nI/yXeKTliCo/WAGG9XQxLMgZrR1Msfty\n","Cq9MRKmGhnp4lVdUo3bebW2H7wb7yHysqqOQqmpwWwdM7t4UjUz5t71ExWJ4RClefrx0DevsgqIK\n","bwvFP3ip0Q7lLWMCEOhiITMpE6IOSk0YaWlpuHDhAuLiSiZcOTo6olevXti1axfs7OyQnPymflFy\n","cjLs7OxknkdfXx/6+vwRJ2WTTV0hljBsiX+o1HLZPo5mGBrgBJP6elh+6LbM8tNNrI1xNzWnRsli\n","yQAvfNDWUeZjSWm5ckcTKUOopy1m9PTgzQgv9f3hO1h+WLHy7KWLDskqka1upUud0qgios2UmjDM\n","zMygq6uLo0ePonPnzsjJycGRI0cQFRUFR0dHDB06FJGRkTA2NsbatWsRFhamzOZrjbQcEab+eQkn\n","7sheuL46PvBzwGB/BzxIy8W0v2T3E7RyMMPlxxm4myq96IyiShcrkqWqs6WrKsjVAl/0aobWDtLt\n","J2fkK7zyW6mIKpQAqanyRQcJqY2UmjCEQiG2b9+OL774Aowx5Ofn47333sOAAQMAAOPGjUNwcDCE\n","QiHat2+Pzz77TJnNazXGGE7cSVPqvXwXSyMMDXRCaEtb7L78FP3LlLIuZWFUD27Wxkh48BKXa1Aq\n","5FxUd1gaS88zABSrjaQjQLU72d1tjDG7Twt0bGrJfQNf8s9NrJZRClsTEmZ3g3UDmo1M6j4BY6wW\n","LMIJTJs2Dd9++62mw6iy/EIxvjl4S2p5yJoIaWGDj4Kc0MTaGN8fviNzlndwU0uIJQyn7sle41lR\n","FY23V2T4aHBTS6VeSanbNwNb4f3XE+oIedvRTG8VuZuag+HrEhRa71gRFkb1MMTfEUMCHJFTUIzP\n","/76MK08ypY77uIMLLj56VaMPaVdLI/w7vZPc++nFYgm85x5EXgWT0sIDHLEl/pFWJws9XQFuzAul\n","wnWEKIgShhKJJQx/nXtcpfLYlWnr3JC77XQu6ZXc+/QL+7fEin/v1OhKZkywC2b3kb8mAGMMHb+O\n","w+OXlSfBLfGPqh2HssTN6AwXSyNNh0FInUEJQwle5hbi8/9dxr83U5VyPj1dAQb6OeCjQCc0tTbG\n","n+ceyxwmamdqgIXveWHk+rOYvV3+IjSVWTPUF6EtbeU+zhjDu6tO1agPRNkGtLHHNwO9aVQRIWpE\n","CaMG5K1TUF1uVkb4KNAJ7/naQ6gjwKJ9N7DpjPQ39T5ejfBJJzeE/fAfRq4/W+32yi5W9O3BW1ih\n","gVnH8pQt300I0Q6UMKqooEiM7/+9o9QROr29bDE00AlBrhZ4kSPCkJ/PIPGpdMXYmaEe6NrMGqHf\n","ncDeqykyzlSigb5QoXUXNDU7eduEdmhTboEeQoj2o4ShoAdpufh4w1ncT8tVyvmsG+iXdGL7O8LW\n","1ABXnmTIrV20fkRbmNTXw4DVp7D0n1uVnluRZKEqtMYBIXUXJYwKSCQM2y4mY8b/lFcwL9DVHB8F\n","OiPE0wZ6ujr4+/wTmed3NDfExo/9cfFRBkZuqP5tJ2WjCWiEvL0oYciQkVeIyG1Xsf/aM6Wcz6ie\n","Lgb42mNooBPcbRqgWCzBl7sSKxxJ9OhlHjp9fVQp7Suq/LrahBBSFiWMMhIevMSgn04r7XwO5vXx\n","+GU+cgvF+O30Q6VWoK2qX4b5oYeMdaYJIURRb33CKCgSY/XRe/j+3ztKP7ci8xWUYcuYAAS5WtAQ\n","U0KISr21CeNReh7G/HYOt55nazqUCu35tANaNjbVdBiEEPJ2JQyJhGH3laeY/MclTYcCoGS96IZG\n","9So/kBBCtMBbkTBUXXZbFnnLlBJCSG1V5xOGKlZIu7uwFxWsI4S8dep8wqiq6/N6wrAevSyEEFJe\n","nf9kTFrch7vKiOzVDOM6uWk4IkIIqZ2qfV/l2LFjsLW1RVRUFG//rl274OnpCU9PTwwePBh5eXkA\n","gNzcXHzwwQfcY3v27KlZ5FWQtLgPkhb3oWRBCCE1UK2E8fDhQ6xbtw4DBw7k7U9LS8OYMWOwZ88e\n","JCYmwtzcHAsWLAAAzJs3D5aWlkhMTMTu3bsxevRovHz5sua/ASGEELWoVsJwcnLCr7/+CgsLC97+\n","gwcPon379nBxcQFQsob3tm3bAADbt2/HuHHjAACurq4ICgrCwYOy14EWiUTIysri/YjF8ld3I4QQ\n","onpKHerz8OFDODs7c9tOTk5ISkqq9LHyYmJiYGpqyvtJSEhQZqiEEEKqSKmd3hKJBLq6b+YeCIVC\n","SCSSSh8rLzIyEtOmTePtGzZsmNS+UmKxGAkJCfD39+e1oc0oZtWrbfECFLO6UMx8Tk5OmDx5cqXH\n","KTVh2NnZITExkdtOTk6GnZ0d91hycjLc3d25x1q2bCnzPPr6+tDX1+ft27Fjh9x2s7KyYGpqigMH\n","DsDExKSGv4V6UMyqV9viBShmdaGYq0ept6RCQkIQFxeHlJSS1eBiY2MRFhYGAAgLC8P69esBlCSL\n","uLg4hISEKLN5QgghKqTUK4zGjRtj2bJl6N27N4RCITw8PLB69WoAwPz58zFy5Ej4+fkBKEkmpVcf\n","hBBCtF+NEkZ0dLTUvvDwcISHh0vtb9iwYYW3lQghhGi3OlEQSV9fH1999ZVUv4c2o5hVr7bFC1DM\n","6kIxV4+AMcY01johhJBao05cYRBCCFE9ShiEEEIUQgmDEEKIQihhEEIIUUitTxjyyqmrW2FhIaKi\n","otC6dWv4+/ujZ8+eSE1NxYYNG2Bvb4/AwEDu58mTJwCA06dPw8fHB15eXggNDUVqaiqAkhIAEydO\n","RIsWLdC8eXOsXbtWZXE7OzvzYouOjq6wfU3HHBsby4u3bdu2cHFx0brXOScnB2PGjIFAIEBxcTGA\n","ikv8V2dZAGW/92XFfPbsWXTp0gUBAQFo1aoVYmNjueNlvXeAil9XeX8LZcas7PeCOmIuG2tgYCAa\n","NWqEX3/9FYB2vM4cVou9ePGCWVtbs/v37zPGGBs/fjyLjIzUSCxJSUlsxYoVTCwWM8YYmzFjBouI\n","iGDr169nX331ldTxRUVFzN7ensXHxzPGGFuyZAkbMmQIY4yxVatWsT59+jCJRMLS09OZo6Mju379\n","ukridnJyktonr31tibmszZs3s9GjR2vd6/zll1+yv//+mwFgRUVFjDHGZs6cySZMmMAYY+zevXvM\n","xsaGpaenV/g+rs5zlBnzjz/+yO7evcsYK/n/zdjYmOXk5DDGZL93GKve+0eZMSvzvaCumMsSi8XM\n","09OTJSUlMca043UuVasTxubNm1n//v257UuXLjEPDw8NRvRGTEwMmz59Olu/fj1zcHBgPj4+LDg4\n","mP3++++MMcZOnjzJfHx8uONfvXrFDA0NmVgsZj169GA7d+7kHpsyZQqLiYlRSZwuLi4sMDCQeXt7\n","s9GjR7OUlBS57WtLzGX5+Piwmzdvau3rXPZDoWnTpuzy5cvcY++++y77/fffK3wfV+c5yoy5LJFI\n","xBo2bMhevXrFGJP93mGMVev9o8yYlfleUFfMZW3bto2Fh4dz29r0OtfqJVqrUjJdnR49eoTY2Fgc\n","PnwYtra2GD58OAQCAa5du4bevXvDysoKqampvNjNzMygp6eH1NRUmb/XzZs3VRLrtWvXYGhoCJFI\n","hOjoaAwaNAjPnz+X2b6Tk5NWxFzqn3/+gZOTEzw8PODk5KTVrzMg//3KGKvysgAVPUdVoqKiMGzY\n","MJiZmQGQ/d45fvy43Ne1ovePra2t0uIcPHiw0t4L6oq5rKVLl2LNmjXctja9zrU6YVSlZLq6ZGZm\n","YsCAAVi1ahXvjwYALVu2xLhx47B37174+vpKlSgujV+dv5ehoSGAklmk8+fPh4mJCWxsbGS2Xz4u\n","TcVcasmSJVi0aBEAwMDAgNuvja8zIP/9yhir8rIAFT1HFTZs2ICLFy9i37593D5Z753MzEy5MVf0\n","/lEmZb4X1BVzqWPHjsHExAStWrXi9mnT61yrO71LS6aXKltOXRNycnLQt29fzJgxQ24lXolEAhMT\n","E6nY8/LykJubCysrK43+XkKhUG772hRzQkICxGIxgoKCZD6uja+zoq+rrGUBqvIcZfvrr78QGxuL\n","7du3Q09PT+5xQqEQhoaG1Xr/qFJN3gvqjnnJkiWYOXNmhcdo9HWu8U0tDXry5AmztbVlT58+ZYyV\n","dDRPmjRJI7Hk5eWxzp07s9jYWN7+LVu2sPz8fMZYSbyurq4sMTGR5efnMxsbG3bt2jXGGGM//PAD\n","69u3L2OMsa+//poNHjyYMcZYZmYmc3NzY+fOnVN6zFeuXGFnz57ltufPn8/Cw8Pltq8NMZd67733\n","2K5du7htbX2dUeY+9cSJE1lERAQXo42NDUtOTq7wfVyd5ygz5h07djBfX1/28uVL3jHy3juMyX9d\n","K/pbKDNmZb4X1BUzY4xdvnyZ+fr68o7RutdZKWfRoM2bN7PWrVszPz8/9uGHH7KsrCyNxLFy5Upm\n","aGjIAgICuJ+xY8ey5cuXM29vb+br68tatWrFdu/ezT3n0KFDzM/Pj/n5+bG+fftynVkFBQVsxIgR\n","zMfHh/n4+EglIWW5f/8+Cw0NZa1bt2YtW7Zkw4cPZxkZGRW2r+mYGWPs1q1brGXLlkwikXD7tPV1\n","Lvuh8PLlS9avXz/m6+vLfH19eTHKex9X5znKjNnCwoK5u7vz3tcJCQly3zuMVfy6yvtbKDNmZb8X\n","1BEzY4x9+OGH7I8//uAdo22vMxUfJIQQopBa3YdBCCFEfShhEEIIUQglDEIIIQqhhEEIIUQhlDAI\n","IYQohBIGIYQQhVDCIIQQohBKGIQQQhRCCYMQQohCKGEQQghRCCUMQgghCqGEQQghRCH/B13dVGPL\n","uskdAAAAAElFTkSuQmCC\n","\">\n","        \n","      </div>\n","      <script></script>\n","      <script type=\"text/javascript\">\n","        (() => {\n","          const chartElement = document.getElementById(\"chart-ef52fe27-cb96-4599-8884-3243ea28ccfd\");\n","          async function getCodeForChartHandler(event) {\n","            const chartCodeResponse =  await google.colab.kernel.invokeFunction(\n","                'getCodeForChart', [\"chart-ef52fe27-cb96-4599-8884-3243ea28ccfd\"], {});\n","            const responseJson = chartCodeResponse.data['application/json'];\n","            await google.colab.notebook.addCell(responseJson.code, 'code');\n","          }\n","          chartElement.onclick = getCodeForChartHandler;\n","        })();\n","      </script>\n","      <style>\n","        .colab-quickchart-chart-with-code  {\n","            display: block;\n","            float: left;\n","            border: 1px solid transparent;\n","        }\n","\n","        .colab-quickchart-chart-with-code:hover {\n","            cursor: pointer;\n","            border: 1px solid #aaa;\n","        }\n","      </style>"]},"metadata":{}}]},{"cell_type":"code","source":["df['total']"],"metadata":{"id":"op47h0MPO1jd"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"dHDVOcpSO2RD"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["line5_top5_df = line5_df.groupby('역명').max('total').sort_values('total', ascending = False).head(5)"],"metadata":{"id":"QdnzmDPd9dnF","executionInfo":{"status":"ok","timestamp":1697434925033,"user_tz":-540,"elapsed":294,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":34,"outputs":[]},{"cell_type":"code","source":["line5_top5_df.reset_index()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"6kt6W8C2_nFs","executionInfo":{"status":"ok","timestamp":1697439361455,"user_tz":-540,"elapsed":544,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"71060160-0f6f-4ab9-8a04-cf8eb6ce07cb"},"execution_count":81,"outputs":[{"output_type":"execute_result","data":{"text/plain":["            역명      사용일자  승차총승객수  하차총승객수      등록일자  total\n","0  광화문(세종문화회관)  20230930   43938   44108  20231003  88046\n","1          여의도  20230930   34957   35305  20231003  69796\n","2         여의나루  20230930   31216   34647  20231003  65863\n","3           화곡  20230930   33554   30687  20231003  64241\n","4  오목교(목동운동장앞)  20230930   30832   33131  20231003  63963"],"text/html":["\n","  <div id=\"df-f322654c-0142-4818-9113-9abf30d3f21a\" 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>역명</th>\n","      <th>사용일자</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>광화문(세종문화회관)</td>\n","      <td>20230930</td>\n","      <td>43938</td>\n","      <td>44108</td>\n","      <td>20231003</td>\n","      <td>88046</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>여의도</td>\n","      <td>20230930</td>\n","      <td>34957</td>\n","      <td>35305</td>\n","      <td>20231003</td>\n","      <td>69796</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>여의나루</td>\n","      <td>20230930</td>\n","      <td>31216</td>\n","      <td>34647</td>\n","      <td>20231003</td>\n","      <td>65863</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>화곡</td>\n","      <td>20230930</td>\n","      <td>33554</td>\n","      <td>30687</td>\n","      <td>20231003</td>\n","      <td>64241</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>오목교(목동운동장앞)</td>\n","      <td>20230930</td>\n","      <td>30832</td>\n","      <td>33131</td>\n","      <td>20231003</td>\n","      <td>63963</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f322654c-0142-4818-9113-9abf30d3f21a')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-f322654c-0142-4818-9113-9abf30d3f21a 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-f322654c-0142-4818-9113-9abf30d3f21a');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-80bdfd81-0644-4874-9f14-b14711f2991c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-80bdfd81-0644-4874-9f14-b14711f2991c')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-80bdfd81-0644-4874-9f14-b14711f2991c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":81}]},{"cell_type":"markdown","source":["열마다 각각의 최대값 말고, total 최대값이 있는 행을 통째로 불러오는 법...?\n","\n","그룹바이 말고 다른 방법을 써야 할듯."],"metadata":{"id":"pnYPG6UHJru-"}},{"cell_type":"code","source":["line5_top5_df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":238},"id":"q8RCpQoE_zCk","executionInfo":{"status":"ok","timestamp":1697439356944,"user_tz":-540,"elapsed":7,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"8fd71cc8-93e7-4e82-fe9c-6cc86b5d42d5"},"execution_count":80,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                 사용일자  승차총승객수  하차총승객수      등록일자  total\n","역명                                                    \n","광화문(세종문화회관)  20230930   43938   44108  20231003  88046\n","여의도          20230930   34957   35305  20231003  69796\n","여의나루         20230930   31216   34647  20231003  65863\n","화곡           20230930   33554   30687  20231003  64241\n","오목교(목동운동장앞)  20230930   30832   33131  20231003  63963"],"text/html":["\n","  <div id=\"df-07e955a2-a12b-4827-9e81-cd4e227e5141\" 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>사용일자</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","    </tr>\n","    <tr>\n","      <th>역명</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>광화문(세종문화회관)</th>\n","      <td>20230930</td>\n","      <td>43938</td>\n","      <td>44108</td>\n","      <td>20231003</td>\n","      <td>88046</td>\n","    </tr>\n","    <tr>\n","      <th>여의도</th>\n","      <td>20230930</td>\n","      <td>34957</td>\n","      <td>35305</td>\n","      <td>20231003</td>\n","      <td>69796</td>\n","    </tr>\n","    <tr>\n","      <th>여의나루</th>\n","      <td>20230930</td>\n","      <td>31216</td>\n","      <td>34647</td>\n","      <td>20231003</td>\n","      <td>65863</td>\n","    </tr>\n","    <tr>\n","      <th>화곡</th>\n","      <td>20230930</td>\n","      <td>33554</td>\n","      <td>30687</td>\n","      <td>20231003</td>\n","      <td>64241</td>\n","    </tr>\n","    <tr>\n","      <th>오목교(목동운동장앞)</th>\n","      <td>20230930</td>\n","      <td>30832</td>\n","      <td>33131</td>\n","      <td>20231003</td>\n","      <td>63963</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-07e955a2-a12b-4827-9e81-cd4e227e5141')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-07e955a2-a12b-4827-9e81-cd4e227e5141 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-07e955a2-a12b-4827-9e81-cd4e227e5141');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-1d78bd01-c67f-4177-8ad3-89c2a0011bac\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-1d78bd01-c67f-4177-8ad3-89c2a0011bac')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-1d78bd01-c67f-4177-8ad3-89c2a0011bac button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":80}]},{"cell_type":"code","source":["sns.barplot(line5_top5_df.reset_index(), x = '역명', y = 'total').set(title = '서울 지하철 5호선 23년 9월 하루 승하차 최대인원 역 top5')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":489},"id":"GMrmsfUl91_c","executionInfo":{"status":"ok","timestamp":1697438606887,"user_tz":-540,"elapsed":508,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"01e19598-7b31-4871-a101-70a55ea01c1f"},"execution_count":77,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[Text(0.5, 1.0, '서울 지하철 5호선 23년 9월 하루 승하차 최대인원 역 top5')]"]},"metadata":{},"execution_count":77},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAlYAAAHGCAYAAAC2K8XBAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABY0klEQVR4nO3de1yO9+M/8NfdQe6iJCp0kFOYYxoq5LQ1Yg4fM4uFj880c54dRJQ5n0YOGzZi2pqxmTGTYyg1E+YUM0ohUVJR6XC/f3/43de3233fdcdF4vV8PO7Ho673+7qu93Xdh+t1X9f7et8KIYQAERERET01o4puABEREdHLgsGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYoM4ufnh2bNmuksW7VqFRQKhdb02NhYvP/++2jcuDHMzc1hYmKCmjVrwtPTE3PnzkV2dvYTt+fxHwyoVasWQkJCNKbt2bMHCoVC4+Hu7q5Rp379+pg0aZLOdQwaNEhj3q5du2qUX7x4EQqFAvv373/i7dDF3d1dq921atUyaF4LCwtMnz5dZ5muffSsREdHQ6FQICoqqtR69+/fh0KhwMaNG2VZb0JCAt5//324uLhAqVTC0dERvr6+iI6OluqoXxdJSUl6l/M0r52ioiKteXU9xo0bV+7t27lzp0H7FQDs7e211nnu3DmpPCQkBDVq1NCa799//9Wab+rUqRp1RowYgTZt2hjU5o0bN2otLy4uTqNOx44dMWTIEIOWFxQUhPr16wPQ//o5efIkunTpAqVSCVtbW0ycOBEPHjzQqLNmzRqdn1tFRUVYsWIF2rZti+rVq8PBwQHvvPOOxr47d+5cmc9DQUEBZs6cCScnJyiVSnTq1AnHjh3Tqvc835f0fJhUdAOocjA1NYVSqTS4/s8//4zBgwfD09MTQUFBaNy4MaysrJCeno4DBw5g0aJFCA8PR3x8PMzNzXUu4/Dhw+jRo4fWdJVKhbZt2yI+Pr7UNnTu3BkJCQka0wzZhuLiYiQmJmLChAkYMWKENL1q1apISEhA48aNYWJi2FsnJCQEs2bN0lkWGxuLjh07ak3/+eefkZeXpzHNkPUVFxfj4cOHsLa2Nqhtumzbtg1LlizB2bNnYW5ujlatWmHWrFno1KmTVOfs2bNYunQpDhw4gDt37qBu3bro06cPgoKCYGtrW+ryc3JycOPGDen/3Nxcg9p14MABhISEID4+HkqlEj179sSyZctQt25dqU5KSgo6deqE119/HZs3b4aTkxPS0tLw5Zdfolu3boiLi0O7du0MWt+TvnaAR8/V4/M+zsfHx6BlPS4iIgImJiYGbUd0dDSKioo0pjVo0KDM+ZydnbXab2NjU76GljBgwACt17k6GOnTpk0b/P333xrTgoODDQogcXFx6NKlCwYPHox58+YhPT0dn376KaKjo/Hnn3+W+V6aNGkSwsLCMHv2bHTp0gV3797FokWL0KlTJ5w4cQKNGjUqsw0A8N///heRkZFYtGgRmjdvjh07dqBnz574+eef4eLiItUrLi42aHnPWteuXXH48GGt6WZmZsjPz6+AFlVeDFZkkKysrHIdsNevXw87OztERUXB2NhYo8zb2xuurq4YNmwYDh8+jF69eulchru7O06fPi39r1AoUKVKFfj4+KBhw4ZltsHCwgJNmzY1uM1qd+7cQePGjTWmGRsbo7i4GDY2NkhLSyvX8tzd3REWFqY1veQ23LlzBxkZGXqXUVRUhIsXLwIArKysUKdOHa06//77L4qLi/WeWSzL7NmzsXTpUkyaNAnLli1DXl4eFixYgDfffBN///23tE+6dOmCN998E6tWrYKDgwPOnTuHwMBAREdH4/jx46UeuCIjI/HOO++Uq10xMTHw8fFBnz59sG/fPmRmZmLu3Lno3LkzTp8+jerVq0v17t69iy+//BLNmzcHADg5OWHNmjX48ccfsX//foOD1ZO+dtTKmtfU1LTcy1y3bh0iIiJQtWpVTJo0CatWrSo17BkaAEoqKChAQUEBHBwcNKYXFxcjNzdX75cgfW7evInc3Fyt10RSUhJq1apV6pnY/v37Y/78+dL/hp61HTduHFq3bo3w8HBpmqurK1q2bIk1a9aUeqbw/v37WLNmDaZNm4aPP/5Ymu7l5QV7e3usWbMGS5YsKbMNR48exffff489e/ZIIbpDhw548OABevfubdB2qCUlJcHFxQWHDh3SOmsutzFjxuCjjz7SmGZkxAtb5cVgRQZJSUlB27ZtDa7v4eGBvXv3Yt26dfDz84OVlZVUdu7cOYSFhcHCwgKtWrXSuwwLCwu0aNFCY9rt27eRnJyMKVOm6J1v48aNGDlyZKntc3Z21nspyN7eHoWFhdL/RkZG2LdvH3r37o3PPvsMxcXFyMvLM/hsi67teNzSpUuxcOFCg5Y3fPhwnZfO/vjjDwCPzu74+vqiqKioXAfwRo0a4cKFCxpngdq2bYtatWph69atmDZtGoBHZ9S6d+8u1WnXrh2MjIzg7++P+Ph4dOjQQe86Bg0apHEZNz8/v8wzQRMmTEDLli3xyy+/SB/y3bt3R5MmTfDVV1/h888/B/Do4GdtbY2JEyciMDAQjo6OuH37NkJDQ2FiYoKePXuWuQ+e9rWjpusS05O6fv06pk+fjvDwcCxZsgRvvvkm+vbti+bNm2PWrFl45513NPahIes+dOiQzunTpk3D0qVLdZbNmjULM2fOLFfb/f39ceDAAY1p6i8pW7duxaBBg/TOa2VlVe5wm5mZifj4eK2zxM2aNYOrqyv2799farASQkAIoRUm1P8/3gVBn8OHD6NatWp48803NaYPGjQIK1aswL///it9sbK3tzdomc+Dra1tmZ9VVDYGKypTXl4ezp49K50FMMS0adNQpUoVLFy4EOPGjUONGjVgYWGBe/fuIT8/H97e3oiKikK9evXK1ZbvvvsOCoWi1A9kXZceHldW4Cj5DfvYsWMYMmQIevbsiSlTpmD69OkGhyBDLViwAAsWLJD+LygowM2bNyGEgL29fZnho6CgAKtXr8Zbb72F1atX45133oGHh4fGJR0PD49Sl/Hee+9pTbO2toaVlRVu3rwpTSsZqtSqVq0q1S/N45cCCwoKSq2flZWFkydPYt68eRoHO3Nzc/Tr1w+7du2SgpWjoyOio6Mxb948jBw5EmlpabCxsUGHDh1w5MgRg85WyfHaUQsKCsLQoUP1lpe1r77//nt88803iI6OxmuvvYYjR47Ay8sLwKMvJ7NmzcK4ceMwfvx4dOnSBevWrUOdOnXKvAwJPDqTp6t/0IwZMzT6jRkbG+P48ePo379/ma8fXfbu3QuVSgXgUeDLy8tD9+7dkZ2djX79+pV7eWVRfyFSvx5LUiqVZb7eqlevjlGjRmHJkiWwsbFB586dkZmZKb03P/jgA4Pbou5PVpI6mN27d8+gZZS8PNetWzcAml+s4uLiMGPGDKnPWocOHTB37lyNLzf169dH586d8e6772Lq1Km4fPkynJycMH78eEyYMMHg7SHDMVhRmQ4cOIDCwkL8/PPPWLFiBaytrdGiRQucP39e7zzGxsb4/PPP8fnnn+POnTtIS0tDYWEhqlWrBicnJ5iZmZW7Hffv38fSpUsxdOhQ2NnZ6a1nZWUFKysr5OXlYfbs2Vi/fj3u3r0LNzc3LF68GF26dDFofUIIhIWFYfz48SgqKkLVqlVx/fp1TJs2DePGjcOVK1dkPzV/4cIFfPLJJ9i/f790kDAyMkKnTp2wYMECvQe3mTNn4vbt2zh27BjmzZuH/v37Y9++fRpnBB+/JGuIv//+G5mZmWjdurXO8vv37+PIkSP45JNP4OfnhyZNmpS6vPJeClTvAwsLC60yY2NjJCYmAnh06eXKlSsAgJ49e6JLly7Iz89Hfn4+7t27h6+++gqBgYFo1KhRmWdJ5HjtAICdnd1TXU60t7dHs2bNMG3aNK0zH9WqVcPixYsxY8YM/P7770hNTZUuD6vX+fvvv2P69Ok4d+4c7OzsMG7cOHzyySelBkP19pf0888/w8nJSeu1/vDhQ+nytL29vc6O8EZGRlIgvnbtGvz8/HDhwgX89ddfT3Q5VK2wsBAXL17UOmtsa2sLJycnHD58GJ999pk0PS0tDefPn4evr2+Zy161ahUaNmyIr776Cp9++iksLS3RoUMHHD582ODns0uXLpgxYwYOHDig0U/0559/BvDoi6f6y1JpISssLAyXL1+Gj48PNmzYgNdff10K5DExMejRowd8fX2l5X799dfw9vbGoUOHND4roqOjceDAASxfvhz29vZYt24dJk6cCAsLC4waNcqgbaJyEERlGDBggLC3txc1a9YUn332mRBCiKtXr4qEhASRkJAggoKChPqlZGZmJgCU+xEcHFxmO8aPHy8AiK+//lqrzMbGRmsZ/fr1E3Xr1hVbt24VJ06cEOPHjxdGRkYiJiZGquPs7KzRjsuXLwuVSiX27t0runTpIszNzcW6devEtWvXhJeXlzAzMxOjRo0S//zzj0hISBAAxL59+/S2OTg4WFStWlVYW1sLMzMzUa9ePfG///1PJCUladXNysoStWvXFl5eXiI2NlZkZ2eLgoICcfr0adGnTx+hVCrFlStXtOZbsmSJACB++OEHIYQQhYWFolevXqJatWpiw4YNpe6j0hQVFQlPT09Rr149kZubq1W+cOFCab9NmDBBFBcXS2VHjx4VAMShQ4dKXUdOTo4AIMLCwvTWqVmzphg2bJjGtMLCQtGwYUNRtWpVIYQQq1atEu+++6708PT0FADEBx98IObNmyfWr18v9u3bJ1JSUsQff/whAIjExES963zS146aoa/7O3fu6Fx/UVGRKCwsLPdD/Rxs375dABDTp08XJ0+eFN99952oWbOmCAgIkNYRHBys0Zbp06drtePEiRPC2NhY6z03fPhwjXlXrlypd19mZ2eLhQsXCisrK9G+fXthZWUlunTpImJjY6U6HTp0EO+++670f+vWrcXw4cN1Lm/69Ola+7Hk62fr1q0CgJgzZ45IT08XCQkJwtvbW9SrV0/cu3dPqvf1119Ln1vqfZ6Xlyc9Hjx4IO7duydu3rwp/vnnHxEXFyd27dolvvvuO3H27NkyX99Dhw4Vtra2YvPmzeLPP/8UQUFBwsjISPTv319MmTJFeiiVylLfl4mJiTrX1b59e9GlSxehUqmkaSqVSnh5eYkOHTpI09Sv0xMnTmjM36FDB+Hi4iLN7+3tLaysrET16tWFUqkUTZo0EV988YXIycnR2zbSjcGKSnXixAmhUCjEwoULxaJFi4Spqak4c+aMRp2VK1dKH1CXLl2SAlfJx9ixY4WxsbHOsoSEBL0HGLVffvlFKBQK0b59e1GtWjWRkJCgUf54aIiNjRUAxM6dOzXqeXt7iy5dukj/Ozs7C39/f6kdBQUFYsSIEQKAePPNN8WFCxekukVFRWLDhg2iVatW4uLFi+Kff/4RVlZWIioqSm+7//zzT7Fjxw5x/PhxERMTI7755hvRokULYWlpKc6dO6dR99ixYwKAzuVduXJFABCbN2+WphUUFIghQ4YIAOLLL7/UqP/w4UMxcuRIUb16dXH16lWd+6gsM2bMEEZGRmL//v06y+/cuSOioqJESEiIMDc3Fx9++KFUpg5WmzZtEgkJCeL8+fPir7/+Ejt37hTLli0T/v7+YuXKlQYFq5kzZwoTExOxdu1akZ2dLVJSUoS/v79o0qSJFKweFxERoRGeXnvtNa2Dsb5g9TSvHTV9r/PHH0VFRTrb8LRfUFxdXcV//vMfjWWGhYUJAFI4Dw4OFtWrV9f7Hrx3755wdXXVeVAfPny4aN26tc62qx05ckT4+fkJKysr4eDgIL7//nshhBCpqali5MiRwsTEREyYMEEIUf5g5ezsLITQH8x//PFHYW9vL+2XN954Q3ofqD0erJYtW1bqvjU2NhZ16tQR3bt3NyhYFRUVifnz5wtHR0dRpUoV0aJFC7FmzRqtemW9L3UFq7S0NAFArF69Wqv+qlWrBACRlpYmhHj0OvXw8NCqp/7cvnnzphBCiB07dojIyEgRHx8vDh48KObOnStq164tWrRoofOLFenHS4GkV25uLvz9/dGoUSOMHz8eJiYmiIiIQN++ffHnn3/qvBynvhSUm5ur0Z+hWrVqALQ7alpaWpZ518nRo0cxbNgw+Pv745tvvkHnzp0xcOBAHDp0SO8lwatXrwIAXn/9dY3p7u7uiIiI0JhmbW2tcYp/8eLFmDhxIpo0aYLk5GTpcgfwqJ+Sh4cHhBAoLi5GXFwcnJyc9La9ffv2Gv97enpi8ODBcHd3xxdffIEtW7ZIZS1btoStrS0WLVqEOnXqoHHjxlAoFEhJSUFISAjMzc3h6ekp1Tc1NUXPnj0xfPhwvPXWWxrrqVKlCjZs2IDZs2eXux8b8Gi8pLlz52LevHk6h7wAHt2l5e3tDW9vb9SuXRtjx46Fv7+/xiWI4cOHA3h02c7c3Bw2NjZwcnJC06ZNDR4Hafr06bh//z7GjRuHgIAAmJmZYfz48Rg5ciTWrFlj0DLUl7MB4M8//8SUKVP03r34NK8dtae5BAg8uiSs7ptUHjVr1gTwaBse74SvHofrypUr0rALRkZGOtuamZmJ3r17Iy0tDV5eXhg6dCiOHj1q0HANai4uLjA1NUV4eDjeeust/Pbbb2jRogViY2OxYcMGBAcHl/suQ0O9++67eOedd5CSkoJq1aoZNFyEn5+fxrAiJiYm8PX1hY+PD5YvX47q1atLfaZKjmmlj7GxMaZOnao1Bpgc1K9RXcNWqKclJiZKw5+4urpq1XN2dgbw6MakOnXq4O2339Yo79atG/r27Yt27dph48aNGDNmjIxb8HJjsCKd7t+/j7fffhtXr15FVFSU1B/gp59+QqdOneDt7Y1du3bpvaV79OjR+P7777WmP95h9+zZs6XehbJr1y6899576NGjB7755huYmprixx9/RMeOHeHp6Yk9e/ZoDY0A/N9QBidOnNDoVxEfH1/mbejq28D379+PN954o9S6ALBv3z6D7jhTs7S0RL9+/bBz506N6dWqVcPevXsxfvx4uLq6wsTEBFWqVEFeXh7c3d2xZ88erQNbWf0jniRUnThxAkOGDMHw4cOljuFlefvttzF27FgcP34cHh4e6NSpk0F3UN2/f7/MOlWqVMHSpUsxa9YspKamom7durCwsICfn5/Ovl+JiYlo0aIF/vrrL+Tl5WkEYwB47bXXsGfPHr2h/ElfO4bcUaiL+kaOknQFmLy8PKSlpaGoqAjVq1eHra2t3jsAGzZsiBMnTmhMU4/7VtZQJSkpKfD19cW1a9fw+++/o2XLlvD09ESnTp3w888/G9yJ3cHBQePu1bt37+L8+fPSuE3qA3tpVCoVHjx4gBs3bmg9j2UxMjIyaB1qtra2WuOwmZqawtzcHJaWlhgyZIjGFyFD3L9/H9evXy+1zuHDh1G7du1yLVf9vOvqjK9rmq4+reqx8kr7YtuyZUu0bt1aa0wxKh2DFenUr18/HDt2DD/99JPGHSaNGjXC/v374evrW+qYLqtXry51vJfjx4+XeldQUVERpkyZglWrVmHEiBFYs2aN1Nm1fv36OHLkCHr06IHly5dj9erVWvN36NAB/fr1w4cffoglS5bAxcUF4eHhOHLkCI4cOWLQPujZs2ep4eDff//VGeoMkZ6errOzb+vWrXHkyBFkZGTgvffeQ3JyMo4fPw5LS8syl/npp5+iQYMGT/XNMikpCX369IGXlxfWrVtn8Hzq56bkMBUAkJGRgenTpyMgIKBcw3XoUq1aNWl/5+Tk4Pfff8fixYu16vXt27fUGyvULl++rDMoPelrp7Q7Crt27QofHx8EBgZqlZV21qaoqAihoaFYv3691t1+6tv5Q0JC0LJlS42y+fPnY+DAgZg+fTr69+8v3RQREBCg96xTcXExVq5ciRkzZsDe3h7R0dHScvfu3YvevXuja9euZQ7Mq4/6vaQesy0zMxMpKSl6z+5t2rQJmzZtAvAoXDdu3Bj//e9/DV7fDz/8gO3bt2Pr1q1P1N7Hffnll9IApZcvX9Y6w6PL/v37MWDAgDLrGTr4qZp6gNFr165plamnlXyedXWQV9/sUVbQ1vdZRfoxWJFOs2bNgkKhkG7vLqlFixY4efKk1t1DJeXm5iIrK0tveVlnKkxMTGBnZ4ewsDD4+/trlTdp0gTHjx8vdaTviIgIzJ49G5MmTcLdu3fRtm1bHDp0SOc26WLoGSt9Hj58iNzcXK2zdKmpqdixYwcmT54MALh165bO+c3MzGBiYoLc3FydY2bVrl1b406/P/74A+7u7nqDVWRkZKl3U2ZmZqJXr16ws7PDtm3bdF4qi4mJQUFBgXTrt9ovv/wC4NGI5SXl5ORg7dq16Nmzp85gpVQqcejQoXJfOps6dSqUSiWGDRumVVbysp8usbGxGDx4cKnLf5LXjq476tRMTEz0XjYszYQJE/Dtt98iODgY77zzDpydnWFqaioNQzFr1ix4enri77//1jiQ9u/fHzt37kRQUBAWL14MOzs7fPzxx/jkk0/0ris9PR1r167F8OHDsWDBAunyPfDozGd0dDS2bdtm0DhHpX3pUHcXMDY2Rr169bBs2TKtOr/++ivy8/NhamoKS0tL1KpVSzpLExQUVOb6AeCff/6RxnbTZeDAgTovR2dnZ6NJkyYIDQ3FgAEDpNdt3bp1pTHeHh/RXp/+/fuXeea2rIFP1e/DkpeGbW1t4eHhge+//x4TJkyQ9o0QAt999x08PDw0zoIdOnQI2dnZ0hc0lUqF7777Dh06dIC1tTXu3LkDa2trrff8nj17kJSUZNDdlPR/GKxIp5J9DXQpq8/Cp59+qvNSYHmoB6TUR9fo4yUplUrMmzcP8+bNe6p2REZGltqPSl9Zamoq3N3dERAQgO7du8PKygpnz57FrFmz4OTkJAWrsrZDX3liYmKZPw1SUlnjOPXv3x8pKSnYtm0bkpOTNcosLCzg4uKCgoICvPHGG/D398egQYNQu3ZtHDlyBDNnzsTAgQNLHRxUF2Nj4zKHrNi0aRNyc3PRtm1b3L9/H+vWrcPOnTvx+++/6zzb06NHD4POWJVGrtfO0/rjjz/QpUsXrd9/tLa2Ro8ePWBhYQEPDw9ER0drnYny9fUt1wHRzs4O586d0zssR/Xq1Q2+1FmvXj2NQUiNjY2ln8WqXr06rK2tUaNGDSkQLFq0SGP+8ryun5SuS3/Ao9CRlpaGvLw8naFPPW9wcPBzaaednR2qVq2K7777Djk5OTh9+jSCg4Px5ZdfomvXrhg0aBA+/PBDAMBXX32FhIQErQFgMzIy4OPjg6CgIFhbW2P58uW4fPky9u7dC+DR0ByLFi3C6NGj8frrr8PIyAhRUVGYO3cuRo0apfWFiUrHYEXPTOvWrfHjjz+WWudpftfuRZGdna3zAO/s7IxFixbh22+/xcqVK5GXlwcHBwcMHjwYM2bMkM4IZGZmPtF6dV0ezMrKKrUvipmZmcbvlJWkvsyl6yeG1P2AunXrhsjISKxcuRIjR45EZmYm6tWrhylTppR6JuHmzZultqtatWpaP6OiVqNGDSxcuBCJiYkwNzdH586dERsbW2rnd39/f52X3Uoq7Yzri2LgwIFYuXIl5syZg8GDB2ucsYqPj8cXX3wBS0tLrTOIT+pJxjrTRalUPvOfXzGEEKLMvln16tWTfhappNTU1FLnHTJkiMZZvWfF1NQUoaGhmDVrFrZs2SIN0NuxY0dERUVh2rRp0uXGDh06ICoqSusLzqBBg+Do6IiRI0ciOzsbrVq1wu+//y4ta9CgQUhMTMQ333yDwMBACCHQtGlTLF68WAptVA4Vd0MivSxKDregNnToUINuDx87dqwsbSjvUAJqzs7OYuLEiTrL9u3bZ9A2jBo16ukaLxNdQwo8/njttdeea5vUt4qX9fD19ZVtnYbsBwBiypQpT7We0l47j6tXr57BdUsqLi4WX331lWjTpo0wMjLSaH+NGjXEe++9pzX0iKGCg4OFlZXVE81ryHAL5fH4cAulMWS4BSG0x+nS94iIiNCYLzMzs9zDWzyNJ/3sMpSzs7MYOnToM1s+aVMIYeCPHxERUYXJz8/HrVu3UFRUBEtLy1L7FxKp1a9fH506ddL4UWp6tngpkIioEqhatepz6dNDRE+n9JEZiYiIiMhgvBRIREREJBOesSIiIiKSCftYPQWVSoWbN29q/IYUERERvdiEEMjJyUHdunXL/L3a8mKwego3b96Eo6NjRTeDiIiInkBKSoreMfSeFIPVU1APKpeSkmLQb7kRERFRxcvOzoajo6POwWGfFoPVU1Bf/rO0tGSwIiIiqmSeRTcedl4nIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmJhXdgFdFu0+/q+gmVFrxi/0ruglEREQG4RkrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJpEKD1V9//YW33noLDg4OqFu3Lry9vXHw4EEAgEqlQlBQEBwcHGBra4tevXohKSlJY/4VK1bAxcUFtra28PLywunTpzXKt2zZgqZNm8LOzg5t2rSRlq128OBBtGnTBnZ2dnB1dcWWLVue5eYSERHRS67CglVWVhZ8fHzg7u6OxMREXL9+HYMGDYKvry8SExOxcOFC/PLLLzhx4gRSU1PRvHlz+Pr6oqioCAAQERGBefPmITIyErdv38bgwYPh4+ODrKwsAEB0dDRGjRqFjRs3Ii0tDTNnzkTfvn1x9epVAMDVq1fRt29fBAcHIy0tDRs3bsSoUaMQExNTUbuEiIiIKrkKC1YXL15EZmYmPv30U5iamsLIyAjjx4+HsbExTp48idDQUAQFBcHe3h7GxsaYM2cOkpOTsW/fPgDAsmXLMGHCBDRp0gQAMHHiRFhaWuKHH34A8Ohslp+fHzp27AgAGDhwIDw8PLB27VoAwJo1a+Dl5YUBAwYAADw8PDBkyBCsWLHiee8KIiIieklUWLBq3bo1XnvtNcyePRsPHjxAQUEBFi1ahJo1a6J+/fpIS0uDl5eXVF+pVMLNzQ1xcXEoKCjAqVOnNMoBwNPTE3FxcQCAuLg4rXIvLy+Dy4mIiIjKy6SiVly1alUcPHgQffv2haWlJYyNjVG/fn0cOnQIt2/fBgDY2dlpzGNnZ4e0tDRkZGSgqKhIZ/mZM2cAAGlpaXrnN6Rcl4cPH+Lhw4fS/9nZ2eXcaiIiInqZVdgZq9zcXLzxxhto37497t69i3v37mHkyJHo3r07VCoVAEChUGjMY2RkBJVKVWY58Kjz+9OU6zJ//nxYWVlJD0dHxyfYciIiInpZVViw2rp1KzIzM7FixQpYWVnB3NwcgYGBcHJyQmhoKADg7t27GvPcvXsXtWrVQs2aNaFQKPSWA4CNjc1TlesSGBiIrKws6ZGSkvJkG09EREQvpQoLVpmZmTAzM9M6a2Rubo5atWrBysoK8fHx0vSioiKcOnUKbm5uUCqVaN68uUY5ABw/fhxubm4AAHd396cq18XMzAyWlpYaDyIiIiK1CgtWPj4+uH79OubMmYPCwkKoVCps2LABBw4cwKBBgxAQEIDp06cjNTUVhYWFCAoKgoWFBXx9fQEAY8eOxcKFC3Hp0iWoVCqsXr0aiYmJGDZsmFT+7bffIjY2FkIIbN++HZGRkRg9ejQAICAgALt378aOHTsghEBMTAw2bNiAjz76qKJ2CREREVVyFdZ5vVmzZtizZw9CQkKwevVq5OXloWHDhti6dSu6d++Ozp07Iz8/H61bt0ZhYSHc3NwQGRkJpVIJABgzZgzS09PRvXt3PHjwAK6uroiMjIS9vT0AoFevXli0aBGGDh2KjIwMODo6YuvWrWjVqhUAoGXLloiIiEBgYCD8/f1Rq1YtLF++HL17966oXUJERESVnEIIISq6EZVVdnY2rKyskJWVVeZlwXaffvecWvXyiV/sX9FNICKil0h5jt/lxd8KJCIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZGJS0Q0get6Sv2hZ0U2otJxmnq3oJhARvdB4xoqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkE5OKbgARvbq8VnpVdBMqtZjxMRXdBCJ6DM9YEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwuEWiIgIh7t4V3QTKjXvI4crugn0gmCwIiIiesGsmrKzoptQaY1b2rdC189LgUREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSSYUHqytXrmDAgAGoU6cOatWqBQ8PDwCASqVCUFAQHBwcYGtri169eiEpKUlj3hUrVsDFxQW2trbw8vLC6dOnNcq3bNmCpk2bws7ODm3atMHBgwc1yg8ePIg2bdrAzs4Orq6u2LJly7PcVCIiInrJVWiwSklJQbdu3fDWW28hJSUFd+7cwcKFCwEACxcuxC+//IITJ04gNTUVzZs3h6+vL4qKigAAERERmDdvHiIjI3H79m0MHjwYPj4+yMrKAgBER0dj1KhR2LhxI9LS0jBz5kz07dsXV69eBQBcvXoVffv2RXBwMNLS0rBx40aMGjUKMTExFbMziIiIqNKr0GA1bdo0jB8/HgEBATAxMYFCoUCXLl0ghEBoaCiCgoJgb28PY2NjzJkzB8nJydi3bx8AYNmyZZgwYQKaNGkCAJg4cSIsLS3xww8/AHh0NsvPzw8dO3YEAAwcOBAeHh5Yu3YtAGDNmjXw8vLCgAEDAAAeHh4YMmQIVqxY8bx3AxEREb0kKixYFRYW4pdffkHLli3h6ekJW1tbdO3aFefPn0diYiLS0tLg5eUl1VcqlXBzc0NcXBwKCgpw6tQpjXIA8PT0RFxcHAAgLi5Oq9zLy8vgciIiIqLyqrBglZKSAiEEli1bhoiICCQlJcHDwwPdu3dHSkoKAMDOzk5jHjs7O6SlpSEjIwNFRUV6ywEgLS3tqcp1efjwIbKzszUeRERERGoVFqxu3bqFvLw8zJkzB87OzjA3N8fs2bOhUqkQHR0NAFAoFBrzGBkZQaVSQaVSlVoOPOr8/jTlusyfPx9WVlbSw9HR8Qm2nIiIiF5WFRasLC0toVAo0LZtW2maiYkJnJ2dYWxsDAC4e/euxjx3795FrVq1ULNmTSgUCr3lAGBjY/NU5boEBgYiKytLeqjPrBEREREBFRisGjdujOrVq+PKlSvStIKCAiQmJqJu3bqwsrJCfHy8VFZUVIRTp07Bzc0NSqUSzZs31ygHgOPHj8PNzQ0A4O7u/lTlupiZmcHS0lLjQURERKRWYcHKzMwMw4YNw9ixY5GZmYn8/Hx8/vnnsLGxwbvvvouAgABMnz4dqampKCwsRFBQECwsLODr6wsAGDt2LBYuXIhLly5BpVJh9erVSExMxLBhw6Tyb7/9FrGxsRBCYPv27YiMjMTo0aMBAAEBAdi9ezd27NgBIQRiYmKwYcMGfPTRRxW1S4iIiKiSM6nIlS9ZsgSffPIJXF1dUVBQgE6dOmHv3r0wMzPDnDlzkJ+fj9atW6OwsBBubm6IjIyEUqkEAIwZMwbp6eno3r07Hjx4AFdXV0RGRsLe3h4A0KtXLyxatAhDhw5FRkYGHB0dsXXrVrRq1QoA0LJlS0RERCAwMBD+/v6oVasWli9fjt69e1fY/iAiIqLKTSGEEBXdiMoqOzsbVlZWyMrKKvOyYLtPv3tOrXr5xC/2l3V5yV+0lHV5rxKnmWdlXZ7XSq+yK5FeMePlG9D4cBdv2Zb1KvI+cljW5a2aslPW5b1Kxi3tW2ad8hy/y6vCf9KGiIiI6GXBYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJiaGVFKpVAYtzMiIOY2IiIheXQYFKxMTEygUijLrFRcXP3WDiIiIiCorg4LVoUOHnnU7iIiIiCo9g4KVt7f3s24HERERUaVnULAqSaVS4aeffsKVK1e0Lv3NnDlTtoYRERERVTblDlYffPABDh8+DFNTU9StWxdVqlTBgQMH0K9fv2fRPiIiIqJKo9zBKjIyEgkJCdi0aROUSiVGjRqFtWvX4t9//30W7SMiIiKqNJ5ofITq1aujfv36SE5OBgCMHj0aP/30k6wNIyIiIqpsyh2s6tati4sXL6J169bYu3cvAODBgwfIycmRvXFERERElUm5g9UHH3yAjRs3wtHREUqlEp6enujUqRPat2//LNpHREREVGk8Ued1te3bt2P58uXIy8vDlClTZG0YERERUWVT7jNWn376qfS3lZUVgoOD8cEHH2D48OGyNoyIiIiosil3sPr++++1prm4uHB0diIiInrlGXQpcPv27di+fTsAICsrC/7+/hrl6enpcHBwkL91RERERJWIQWesjIyMYGxsDGNjYwCQ/lY/XFxcsHnz5mfaUCIiIqIXnUFnrPr16yeNrB4bG4uwsLBn2igiIiKiyqjcdwVevHgReXl52LFjB65du4YGDRrg7bffhpmZ2bNoHxEREVGlUe5glZSUBG9vbxQXF8PR0REpKSn47LPPcOTIETg6Oj6LNhIRERFVCuW+K3DixIkYPXo0rl+/jtjYWFy/fh2jRo3C2LFjn0X7iIiIiCqNcp+xiomJwa+//qoxLTAwEHZ2dnK1iYiIiKhSeqIfYRZCyN0OIiIiokqv3MGqU6dOWLBggca0BQsWwNPTU7ZGEREREVVG5b4UGBoaCm9vb6xevRoODg64fv06qlSpgiNHjjyL9hERERFVGuUOVqtWrUJCQgJ+++03JCcnw8nJCc2bN0dAQAB27979LNpIREREVCmUO1h9//33WLx4Md59911pmkql4m8FEhER0SuPvxVIREREJBP+ViARERGRTPhbgUREREQyKfdwCxcvXnwW7SAiIiKq9J5ogFAiIiIi0sZgRURERCQTBisiIiIimbwwwWrhwoVQKBSIiooCAOTn52PMmDGoU6cO7OzsMGTIEGRkZEj1VSoVgoKC4ODgAFtbW/Tq1QtJSUkay1yxYgVcXFxga2sLLy8vnD59WqN8y5YtaNq0Kezs7NCmTRscPHjwGW8lERERvcxeiGB1/vx5hIeHo169etK0iRMn4sKFC7h06RKSk5MBAH5+flL5woUL8csvv+DEiRNITU1F8+bN4evri6KiIgBAREQE5s2bh8jISNy+fRuDBw+Gj48PsrKyAADR0dEYNWoUNm7ciLS0NMycORN9+/bF1atXn+OWExER0cukwoNVUVERRowYgZUrV8LE5NHoD1lZWQgLC8P8+fNhaWkJMzMzLFmyBHv37kVCQgKEEAgNDUVQUBDs7e1hbGyMOXPmIDk5Gfv27QMALFu2DBMmTECTJk0APApqlpaW+OGHHwA8Opvl5+eHjh07AgAGDhwIDw8PrF27tgL2AhEREb0MKjxYzZ07F+3bt0fXrl2lafHx8RBCoH379tI0BwcHODk5IS4uDomJiUhLS4OXl5dUrlQq4ebmhri4OBQUFODUqVMa5QDg6emJuLg4AEBcXJxWuZeXl1ROREREVF7l/q1AOZ08eRLh4eE4deqUxvS0tDTY2NhIZ7DU7OzskJaWhrS0NOl/XeUZGRkoKirSWX7mzBlpHfrm1+fhw4d4+PCh9H92draBW0pERESvggo7Y1VQUIARI0ZgzZo1qFatmkaZSqWCQqHQmsfIyAgqlQoqlQoAtOoYWq5vHSXLdZk/fz6srKykh6Ojo4FbS0RERK+CCgtWX3zxBTw8PNCjRw+tMhsbG9y7dw9CCI3pd+/eRa1atWBjYyP9r6u8Zs2aUCgUesvV6yitXJfAwEBkZWVJj5SUFMM3mIiIiF56FRasjh8/joiICNSoUUN6JCcno0+fPpg8eTIKCgpw/vx5qf7du3dx5coVuLm5oVGjRrCyskJ8fLxUXlRUhFOnTsHNzQ1KpRLNmzfXKFev083NDQDg7u5earkuZmZmsLS01HgQERERqVVYsNq7dy+ys7Nx79496eHk5IRdu3YhISEBgwYNwuTJk5GVlYW8vDxMmDAB7u7ucHd3h4mJCQICAjB9+nSkpqaisLAQQUFBsLCwgK+vLwBg7NixWLhwIS5dugSVSoXVq1cjMTERw4YNk8q//fZbxMbGQgiB7du3IzIyEqNHj66oXUJERESVXIV2Xi/NN998g3HjxqFBgwZQqVTo1q0bfv31V6l8zpw5yM/PR+vWrVFYWAg3NzdERkZCqVQCAMaMGYP09HR0794dDx48gKurKyIjI2Fvbw8A6NWrFxYtWoShQ4ciIyMDjo6O2Lp1K1q1alURm0tEREQvgRcqWJUcOd3S0hLfffed3rqmpqYIDQ1FaGio3jozZszAjBkz9JaPHj2aZ6iIiIhINhU+jhURERHRy4LBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwqNFgdP34cvXv3hq2tLerUqYPu3bvj9OnTAACVSoWgoCA4ODjA1tYWvXr1QlJSksb8K1asgIuLC2xtbeHl5SXNq7ZlyxY0bdoUdnZ2aNOmDQ4ePKhRfvDgQbRp0wZ2dnZwdXXFli1bnuHWEhER0cuuQoPVZ599hjFjxiA1NRU3btxAhw4d0K9fPwDAwoUL8csvv+DEiRNITU1F8+bN4evri6KiIgBAREQE5s2bh8jISNy+fRuDBw+Gj48PsrKyAADR0dEYNWoUNm7ciLS0NMycORN9+/bF1atXAQBXr15F3759ERwcjLS0NGzcuBGjRo1CTExMxewMIiIiqvQqNFjt378fffv2hbGxMYyMjPD+++8jOTkZaWlpCA0NRVBQEOzt7WFsbIw5c+YgOTkZ+/btAwAsW7YMEyZMQJMmTQAAEydOhKWlJX744QcAj85m+fn5oWPHjgCAgQMHwsPDA2vXrgUArFmzBl5eXhgwYAAAwMPDA0OGDMGKFSue924gIiKil0SFBisTExON/2NjY2FnZ4f79+8jLS0NXl5eUplSqYSbmxvi4uJQUFCAU6dOaZQDgKenJ+Li4gAAcXFxWuVeXl4GlxMRERGVl0nZVZ6Pf//9F5988glWrlyJ27dvAwDs7Ow06tjZ2SEtLQ0ZGRkoKirSWX7mzBkAQFpamt75DSnX5eHDh3j48KH0f3Z2djm3koiIiF5mL8RdgZmZmXj77bcxcuRIDBs2DCqVCgCgUCg06hkZGUGlUpVZDjzq/P405brMnz8fVlZW0sPR0fEJtpaIiIheVhUerO7fv49evXqhXbt2WLp0KQDAxsYGAHD37l2Nunfv3kWtWrVQs2ZNKBQKveXqZTxNuS6BgYHIysqSHikpKU+wxURERPSyqtBglZeXhz59+qBu3boICwuTziA1atQIVlZWiI+Pl+oWFRXh1KlTcHNzg1KpRPPmzTXKgUfDN7i5uQEA3N3dn6pcFzMzM1haWmo8iIiIiNQqLFgVFBRgwIABMDMzw48//qjRkd3ExAQBAQGYPn06UlNTUVhYiKCgIFhYWMDX1xcAMHbsWCxcuBCXLl2CSqXC6tWrkZiYiGHDhknl3377LWJjYyGEwPbt2xEZGYnRo0cDAAICArB7927s2LEDQgjExMRgw4YN+Oijj57/ziAiIqKXQoV1Xo+NjUVkZCRq1qwJJycnjbLw8HDMmTMH+fn5aN26NQoLC+Hm5obIyEgolUoAwJgxY5Ceno7u3bvjwYMHcHV1RWRkJOzt7QEAvXr1wqJFizB06FBkZGTA0dERW7duRatWrQAALVu2REREBAIDA+Hv749atWph+fLl6N279/PdEURERPTSqLBg5e3tDSFEqXVCQ0MRGhqqt3zGjBmYMWOG3vLRo0dLZ6h06devnzQgKREREdHTqvDO60REREQvCwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTCYEVEREQkEwYrIiIiIpkwWBERERHJhMGKiIiISCYMVkREREQyYbAiIiIikgmDFREREZFMGKyIiIiIZMJgRURERCQTBisiIiIimTBYEREREcmEwYqIiIhIJgxWRERERDJhsCIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMnnlg1V+fj7GjBmDOnXqwM7ODkOGDEFGRkZFN4uIiIgqoVc+WE2cOBEXLlzApUuXkJycDADw8/Or4FYRERFRZWRS0Q2oSFlZWQgLC0NUVBQsLS0BAEuWLIGjoyMSEhLQrFmzCm4hERERVSav9Bmr+Ph4CCHQvn17aZqDgwOcnJwQFxdXgS0jIiKiyuiVPmOVlpYGGxsbmJho7gY7OzukpaVp1X/48CEePnwo/Z+VlQUAyM7OLnNdxQ/znrK1ry5D9m955OQXy7q8V4ncz0VRXpGsy3vVyPl8PCjic/E05H5v5D3MlXV5rxJDngt1HSGE7Ot/pYOVSqWCQqHQmm5kZASVSqU1ff78+Zg1a5bWdEdHx2fSPnrEauWHFd0EUptvVdEtoBKsPufz8cKw4nPxovhsteF1c3JyYCXzc/dKBysbGxvcu3cPQgiNgHX37l3UqlVLq35gYCA+/vhj6X+VSoW7d+/CxsZGZ0CrLLKzs+Ho6IiUlBSprxlVDD4XLw4+Fy8OPhcvjpfluRBCICcnB3Xr1pV92a90sGrbti0KCgpw/vx5tGjRAsCjUHXlyhW4ublp1TczM4OZmZnGtBo1ajyPpj4XlpaWlfqN8jLhc/Hi4HPx4uBz8eJ4GZ4Luc9Uqb3Sndft7OwwaNAgTJ48GVlZWcjLy8OECRPg7u4Od3f3im4eERERVTKvdLACgG+++QZ16tRBgwYNULduXeTm5uLXX3+t6GYRERFRJfRKXwoEHp3O/O677yq6GRXKzMwMwcHBWpc56fnjc/Hi4HPx4uBz8eLgc1E2hXgW9xoSERERvYJe+UuBRERERHJhsCIiIiKSCYPVE+jatSuWL19uUN01a9aga9euz7Q9jwsJCcGgQYMAPBoOIioq6rmuvzRPsj+ioqLKNazFiBEjMGnSpHKt43nZuHEj2rRpY3D9ESNGYOrUqc+uQa+AZ7nPf/31V9SvX//JGkZl6tixIzZu3FjRzaByKigowPLly+Hm5gYLCwsolUo0bNgQQ4YMwdmzZ5/JOtW9mnQdL9LT0/H++++jWrVqsLOzw+zZs1FU4pcGWrRoIevrjMFKB3t7eygUCq3Hb7/9prN+SEiIRr2ePXuWuvx79+7pXL76UbVqVb3zLlmyBJ9++qnGtGbNmmHr1q0GbVtMTAxMTEw0HqampjAzM4OpqSn279+vNU+bNm1Kbe/jv6tY3v0BAJMmTTJ4nmHDhulsx7Bhw3TWf++99/DTTz+V2QY55OXlYdSoUahevTrq1q2LJUuWlFo/OTkZgwcPRu3atWFvbw9/f3+dP6dUUo0aNZ7otfOyepb7PDw8/ImC07hx40p9zxj6xexVUL9+fY19Ex4errdup06dSt2vAQEBz7Hl2o4cOYJevXqhRo0aqFKlCpo0aYIFCxbgwYMHGvWWL19e6nZ8+KHmr00kJSWVWl+hUOD27ds62/T4MePxz9rHHwsWLNCYPzo6utT6ut4f//vf/7B8+XKEhIQgMTERd+7cwY4dO2BmZgZPT08kJydr1J8zZ06p6xgxYoRU988//9Q6hhkZGcHPz0/n9gshMHDgQOTl5eHSpUvYs2cPNm/ejPnz5+usDzz9MeOVvytQl2vXrmn9fpCLi4vWYGK5ubnYvXs3mjZtis2bN0vTjY2NsW3bNjRv3rzU9Rw/fhyNGzfWmBYdHS2dbXpcXFwc1q5dizNnzmhMLygoQJUqVcrcLgDw8vJCfn6+9H9xcTG2bNmCL774AnPnztUbaL788kuMHDlSa7q1tbX095Psjzt37uDw4cPo2LGjxthh6nlatmypNU9YWBi+/fZbjWmTJ0/We5fKihUr0LZtW7Rv3/6Zn10YO3Ys/v77b8THxyM9PR39+/dH9erVMXz4cABAYWGhVLegoABvvfUW3NzcEBcXh8LCQnz22Wf4z3/+g+jo6FLXs3PnTp1n/irzLwA8qee1z8vjyy+/1DpAqb355puyracyu3DhAi5cuIC5c+dqfN5WqVIF27ZtQ+/evbXm2bdvH4qLdf/W57hx4yp0wMrw8HB8+OGH+OKLL7B8+XJYWVnh7NmzCAkJwfbt2xEdHQ1TU1Opvru7O/bt26e1nI8++khrmpOTEzIzM3Wu99atW2jWrBmqVaumVabvmDFw4ECsX79eq36fPn30bl9OTo7O6UZG2udndu/ejeDgYLz99tvStBYtWmD9+vWIiIjA0aNHMXToUI15OnXqhD/++EPnOkrut9dffx337t0D8OjzrqCgAA0bNsTgwYN1znv27FnExMQgPT0d1tbWqFevHubMmYOAgAAEBQVJn5m5ubm4d+8eLCwsnvqYwWClg5mZGVQqFS5cuIAmTZrA1NQUGRkZsLe3l+rk5eWhoKAAp0+f1voRZzVdP4tTUvXq1bVOWep6c6hNnjwZU6ZMgVKp1Jiem5uL2rVrl7FV/8fY2BgnT57Erl278OOPP8LU1BQWFhZ4+PAhsrOzdX44KZXKMi/HFRQU4Ny5c3rLde2PBw8elDpPyX2uZmpqqvFGAx79oLaHh4fOZdSuXRvvv/8+AgMDERERoXddTysjIwObN29GTEwMmjRpgiZNmiAoKAgffvihxjfQ1q1bAwBOnjyJy5cvIz4+XnpO16xZg3r16iExMREuLi5611W1atVSXyuviue5z8vjs88+Q2hoqN5yfQeBV8nt27dLfe/r+pJX8rOvb9++CA4Olr6Q5ebmPrORtA0xe/ZshISEaPzsmb29PTp27AhHR0fs3r0b/fr1k8qMjIx0nmE2NjbWmmZkZKT38zc5ORlKpRLm5uZaZfqOGcbGxjrXrSskqZXnbLivry+++eYbvP7663B3d4eJiQlu3bqFZcuWwczMDJ07d9a5bn3rKPmF0cjISOOzb/z48XjttdcwYMAAaVpWVhYUCgWsrKywefNm1K5dW+MkQLNmzXDv3j3k5ORIx7uxY8di7Nix2Lx5M4YNG/ZUxwxeCtQjNzcXLVu2xNWrV3Ht2jUUFxfD2dlZKp82bRqsra3RqVMntGnTBrt27cLq1auxYcMGpKam4uOPP9bbl8jY2Biurq5499130aZNG43HhAkT4OrqqjXPiRMncPr0aelbuFpaWhpu3bqFvLw8rFq1CgqFQucPRQNAfn4+evTogcaNGyMkJAR2dnYIDQ3Fpk2bsG7dOsTExKBZs2bo27evxjdIFxcXrF69Wqutbdq0gaurq/SmrVGjBkJCQsq1P+rXr4+QkBA0bNgQv/zyC1atWoWwsDBkZWVh6tSp6NSpk97n6J133kFkZCQA4PTp0xr7bcWKFTAxMcG6desAAKNHj8bWrVv1ni6Xw6lTp2Bqaor27dtL09TbnJ2dDSGExpk89W9UlvwgVQdGXT8CTtpehH2uUqlw79496XdH1YYOHQohhM7Hi9oH8Hnq2rUrAgMDkZOTg40bN2LVqlX4+eefpc+Esr7IHTp0COnp6dL/N27c0PlF7Hm5ffs2GjZsqDW9evXqsLW11brcfPz4cSiVSq1HaZdCdUlPT9e53fqOGQCwdetWnes+evSo3vWov9DqeqjPIKl98803GDVqFCZMmABbW1vUrl0b3t7euH79OmJjY+Hk5KS1/CNHjuhdfrt27bTqFxYW4qOPPkJCQgKSk5OxZ88eqczS0hKZmZm4du0anJ2dkZ6ertHGf//9FzVq1ED16tWlaWFhYRBCSF1KnuqYIUinnJwcAUAkJCSIGzduiPXr10tl3t7eYtmyZUIIIS5fvizMzMzE77//LoQQIiMjQ/To0UOMHj1aCCHE119/LTp37izy8vLEw4cPn7g9QUFBomfPnlrTd+zYIZRKpfjvf/8rCgoKRE5OjggMDBT/+c9/hBBCWFlZiUOHDkn1s7KyNOYfOnSoCAgI0Nr2J/Uk++PYsWPC3NxcxMTECCGESE1NFe3atRPTpk0TQghx6NAhYWVlpbWuhg0bis2bN2tNHz58uAgICBB37twReXl50vQmTZqIb7/99om3rSxbt24VdevW1Zh248YNAUCkpKQIIYTYvHmzaN26tRBCiLy8PNGgQQPx4YcfivT0dHHr1i0xZMgQ4ebmJlQqlbQtn3/+ucYyraysxL59+57ZdlQmz3qfb968WTg7O+td//bt2wUA6ZGZmSmEEGLixInCz89PFBYW6nwUFRXJuyMqqeDgYOHm5iZu3LghhHj0WWBhYSGOHTsmhBCiQ4cOYt26dSI7O1vcu3dP5OTkSA8LCwuxfft26f/33ntPREVFiZycHJGfn//ct8Xf3194e3uLBw8eaEzfsmWLMDc3F1evXtU5n/pYc+rUqTLXERUVJRISEoQQj177GRkZIiwsTHTt2lWrrr5jRklnz57VeN0aonXr1uLrr782uH55ZWZmSsdefWJiYkSbNm1Enz59xP3798WJEydE7dq1xUcffSR27dqlcbxQqVTC09NTDB48WNy8eVOcPXtWNGvWTISEhEh1XnvtNREWFqa1nic9ZvBS4GOmTZuGf/75R7qOHxAQACEEsrOzMW/ePLzzzjsa9f/55x9YWVlJ/QFq1qyJPn36aHQmP3r0KJRKJV577TWcP3++XO0R//8b8KVLl7T6YwGPvnnMmDED69atw/Xr1+Hi4qKzv9Xly5cxfvx4relnzpyBiYkJ3nrrLY3pdnZ2iI+PL1d7Dx06JJ2ON2R/eHl5ITo6GgkJCXB2doanpyeAR6fPe/bsWeplAjWVSoWcnBzk5OQgJSUFqampAB6dtn780mOTJk1w8eJFg7envGrUqKHVD0L9jdrU1BT5+fka/X2qVq2K3bt3Y/z48XB0dISRkRG6d++O7du3l9lX6o033tBblpqaWqHf3J+n57nP9XF2dkZSUpLW9B9++AE//PCDznlcXV2f6Wuxsrhw4QJ69OiBunXrAgA8PDzQqFEjnDt3Trq0P3r0aIwePVrn/CUv/wCQLtsMHz78ud9NGBoaiiFDhsDFxQXdunWDpaUlzp8/j0uXLiE8PBwuLi46bz5Sa9u2rda0x7dj2bJl6Nq1K5o2bYoPP/wQe/bswd9//63zTNnjx4xx48Zh9erVOtdd8jKZ2nvvvaezW8j169fxww8/4PTp0xrT7e3tsW3btnIdM3bu3Ildu3ZpTCsoKAAAnWctu3Tpgj179mDnzp2YPXs2xo4dC4VCgXbt2uHEiRNYu3at1mVPhUKB7du3Y+LEiWjUqBHMzc0xZswYTJ8+vcz2Pekxg8HqMUOGDEF2djaMjIwQGBgIpVIJS0tL1KhRA5aWllAoFHjzzTelflWdOnWCmZkZRo4ciQEDBuDWrVtYsGABZsyYIS3T29tbGvKgZMdxtYiICISEhODSpUt623X//n2NS5EAkJCQgJ07d+LLL79EUVERPvjgA52dIQGgbt26CAkJMXg/mJmZ4bXXXtO6PHLjxg00atQIFy9e1GpPlSpVcP/+/XLtDwDw8fHBJ598gkmTJqFnz55ISkrC2rVr8fXXX2u1y9/fX7pbo6CgAMOHD8cHH3wAa2tr2NnZlRo4qlWrhuzsbIP3QXm5ubmhsLAQcXFx6NixIwDgwIEDADT7iqn7+wCPDrB79+6FSqWS7oApy40bN6TAPX36dCQnJ2tc7rKwsJBleyqD57XP1QoKCnD37l0kJyfjwoULWh/8RUVFKCoqwoIFC/R2XlfLz89HlSpVSu3X8rIbMmQIRo0aBQcHBzRo0AAHDhxAcnIyevXqJdUJCwvTuCvsRVWjRg3s2bMHZ86cQWhoKLZv345Nmzahc+fO0iWnyZMnY9y4cQYvU1d/q8edPn1aK2AC2seM5cuXl3nHbElZWVn466+/tKbr6+BerVo1TJs2TeuYce3aNTRt2hT//vsv6tWrp1GWnJysc3kDBw7UuQ5nZ2d07doVq1at0gp9Tk5OmDt3Lk6ePInXX39do8zW1hbh4eFaN6Wph1yIiorS2UftSY8ZDFaPadWqFYBHZ0K++uorfP/99zh//jxyc3NRq1YtdOzYEcHBwfDy8gLw6FpufHw81q9fjxEjRqBDhw7YtGkTfHx8dC5fV+c8U1PTMm+Vd3Bw0LhG/+DBA/j5+WHSpEmoXbs2xo8fj6+++gqff/65zheIhYWFdOC5cuUKvvzySxw9ehS3bt2CkZERnJyc8MYbb+Djjz+GjY2N3nao77wzMzPT2d7y7g8AqFevHv7++2+EhYVh0KBBePvtt/Hbb7/p7OC4Zs0arFixAgqFQurs+HhHdn0fwqmpqWjRooXedjytmjVr4v3338eYMWOwZcsWpKenY+7cuZg7dy6mTZsG4NGYSrputVcfXIuLi5GZmYm0tDTk5ubqXE/J4GRqagpjY+NXtiP789jn165d0whf1atXR/369dG2bVutA9rUqVOxdOlSg9t/6NAhvX0xXwUDBw6EnZ0d1q1bh4kTJyI4OBinT5+Gg4ODzvoqlarUvnBGRkYVHlRbtWoFDw8PHD58WOvORmNjYxgbG6OwsFDv3Y3qeo9/rukTHh6u84zT48cM9dAEBQUFpe5Ddb2qVatKoScmJgZLlizBX3/9hfT0dJiamsLJyQm+vr6YNm1aqf3hSjtmqG84AYBNmzZhw4YNOH/+PO7fvw+lUommTZvCz88PY8eO1Xpe09LSEBwcjN27d+PGjRtQKBRwcHBA3759sWXLFq12eHt7IyYmRm87fXx8NPppAU9+zHh1vyqV4ZNPPsHChQsxefJkXLhwARkZGYiKikLr1q3RrVs3HDt2TKpbu3ZtTJ06FXXr1kX//v3RunVrXLhwQeeYUMCjcazatGmDmzdvAnh02U0devTx9PREbGys9P+sWbOkbwjAo29Lmzdv1uiMp0tycjLc3NwghMCWLVtw48YNJCUlYdWqVTh9+jQ8PDykU7FqgwYNksbwMjMzg7e3d6khsLz7AwAcHR0xc+ZMVKtWDX5+fnB1dcXly5dx+PBhjbN85ubmqFGjBo4ePYrNmzfr/PBp2LCh1i2yBQUFiI+PL7UzvBxWr14NNzc3tGvXDgMGDMCYMWN0DjaZmJiIGjVqSA9LS0uYmZnBxMQELi4uePvttzXOQgGPAoD6jIj6If5/Z+jHp5f2of2yeZb7/J133sGdO3dw584dZGRkIC8vD9nZ2Thz5gw2bdqktY4lS5ZodVRPTEwE8OhD+vGyVzlUqXl5eUndFCZPngyFQoETJ07oHEjy7bffLrUTdUXcbalSqbTef+rg8vh09RmSAQMG6Ow8rn6899570vIfPnyI/Px85OfnS8FSvZyCggLY2NjAyMgI+fn5ePjwoTTf48cMNTc3t1LX/fh759ixY+jWrRvc3Nxw7NgxPHjwALdv38bGjRvx119/oWfPnlpnggYMGCDdWGRmZoYOHTqU+qPNixYtwscff4zRo0fjn3/+QW5uLpKSkhAUFITFixfjk08+0agvhMCbb76JK1euYMuWLbhz5w5u3bqF8PBw/P333xpnPNWio6Px+++/w9bWVuM9qFAocPLkSa1Q9VTHjHL3ynpFuLq6Sh3UH9e+fXsRFBQkFi9eLMzMzISZmZmoUqWKACCMjY2FjY2NaNq0qfDx8RFff/218Pb21pj/zp07AoBITEw0uD2ZmZlCqVSKM2fOCCGEKCwsFNnZ2TrrBgcH6+28Hh4eLqpWrSp11C3p0qVLAoA4d+6cxnR9Hfse9yT7Y8CAAdI8ZmZmAoAwMjIS1tbWonHjxqJr165i27ZtWp3Xg4ODha+vb5ltUvvtt9+Eg4ODKC4uNnieZyEsLEy0bt1aFBUViZSUFJGSkiKuX78ubt68KTIyMkRBQYFG/ZIdqW1sbDQ6Spf2KK3D9avmafZ5WbZv317mvk5MTBQARGpq6pNuwkupVatW0vve2NhYABBVq1YVdevWFW5ubiI0NFR06NDBoM8eIYT4/PPPpc+95+k///mPwe9LQz73H9+OJ33fP37MMMS7774rpkyZojEtJCREuLq66qwfExMjAIhbt25pTHd1dRUREREGr7dr165aN1GpzZ07VzRt2lRjmvoYeuLECa36UVFRAoC4f/++VllkZKSoVauW9H9RUZEAoHMfPc0xg5cC9XjrrbewYsUKuLi4oEOHDrCwsMDt27exdetWnDp1CgsXLoSHhwf+97//AXh0CrpKlSpaZ3LWrFmjdx3Z2dlat6mqKZVKjYRfo0YNTJkyBYsWLcLmzZthYmJS5tkpXTp37owqVargo48+woQJE9CoUSOoVCqcOXMGwcHBaNy4sXRqtiT14Gm6qMfBGj9+fLn3x+bNm6XOxUZGRjA1NdXqfKjvJ3mKi4tx//59nWXGxsYay1myZAlmzZpV4ZcJ1IyNjfVe7tCn5K3lVH5Pss/p2YmOjkZxcbF0WV+pVGqNCaiv8/+LZNu2bc90+U/6vn/8mPGk3nrrLcydOxczZ87EsGHDUK9ePRQUFOD8+fMIDAzE66+/DltbW635DDlmqPXp0wdz5sxBx44d8eabb6JGjRrIycnBsWPHsHr1aq1R1WvVqgU3NzdMnToVs2fPhqurK4QQuHjxImbMmAEPDw+tvqbFxcUwMjKSzvwD/9dRXqFQoLi4WKNP29McMxis9Fi6dCmcnZ0xZ84cXLx4Ebm5ubC2tka7du3w+++/S6fwSzu9WZaSHWofp+v059SpU+Hl5YXY2Fi9g2GWxcnJCSdOnMCCBQvg6+uLW7duQaFQSNfLN23apPPymnrwNF18fX2xa9cumJmZlXt/PE1H6z179ugNlx06dJB+amfr1q2oUqVKpegAS/SqeJIvhlQ+chwzOnTogKioKCxduhRdu3bF7du3YWpqCmdnZ/Tp00dj9PKSRo0ahVGjRulcZr9+/fDrr79K/0+ZMgW2trZYv349Pv74Y2RlZcHc3BzNmjXD1KlTdR57IiMjMXv2bAwbNgwpKSkAHnVu79u3L4KCgrTq16tXT+pz9vgxrmXLlrCzs8OtW7cAPP0xQyHEYxdH6YWWlJSEY8eO6f1dJNK2Zs0aDB48GDVr1qzophDRM3LhwgU8ePBA646wyiYzMxNFRUXl+jWN0pTnmHHnzh2YmJjo7Az/KnnaYwaDFREREZFMXowOJ0REREQvAQYrIiIiIpkwWBERERHJhMGKiIiISCYMVkT0SikqKsK0adNQs2ZN2NnZaf0m5a+//qo1cn9pFAqF1g/SEtGri8GKiF4pn3/+OXbv3o19+/bh4MGD+PHHH7F9+3addceNGyf9UHPJh75Ba4mIONwCEb0yCgsLUa1aNRw9ehTt27cHAFy/fh2Ojo4a9ZydnZGUlIRx48YhJycH69evl8rq16+P1NRUaVDE4uJinDp1Cm3atHlu20FELy6esSKiV8b169dRUFCAli1bStMcHBxgbW2NuLg4CCGwc+dOjXkUCgVMTEykBwAcOHBA+lHdkj+DQUTEn7QholdGvXr1YGpqioSEBLi5uQEAbty4gczMTJw5cwaFhYW4cOFCmcvZtm2b1K+KJ/2JqCQGKyJ6ZVSpUgVjx45FQEAAvv32W+l/Z2dn/PzzzwCA27dva8xTXFyM/Px8jWnHjx/Hv//+CwBQqVTPp/FEVCkwWBHRK2XRokWYMWMGunXrhsLCQvTq1QsRERGws7MD8OiuwEmTJkn1w8PDER4errGM8PBw6YfYdf0ALRG9uth5nYiohMTERBw9ehT+/v566xQXF0t9q3r27Im1a9eiYcOGz6uJRPQCY+d1InrlbNu2TecwCgqFAg0aNMDMmTM16mdmZmLcuHFo1KgRlEolTExMYGdnBz8/P6xevZqhiogkDFZE9MoZOHAg8vLydD5++uknjbpCCPj4+ODy5cuIiIjAnTt38ODBA+zfvx9mZmbw8PBAenp6BW0JEb1oeCmQiKgEdR+rpKQkAEBaWhrs7e11jlWVn58PCwsL7N69Gz4+Ps+/sUT0wuEZKyKiUtja2sLDwwOTJ0/G0aNHkZGRgXv37uHUqVP44IMPYG1tDXd394puJhG9IBisiIhKqFevHnr37i39r1AosHv3brRt2xYffvghGjRoAFtbW/Tv3x/GxsaIjY2FjY1NBbaYiF4kvBRIREREJBOesSIiIiKSCYMVERERkUwYrIiIiIhkwmBFREREJBMGKyIiIiKZMFgRERERyYTBioiIiEgmDFZEREREMmGwIiIiIpIJgxURERGRTBisiIiIiGTy/wCBnVHQHo6KRAAAAABJRU5ErkJggg==\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## 전체 역 중 승하차 승차 하차 각각 탑5 시각화"],"metadata":{"id":"Mxjv0xkE_82L"}},{"cell_type":"code","source":["df.groupby('역명').max('total').sort_values('total', ascending = False).head(5).reset_index()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"1LyklH8abDJy","executionInfo":{"status":"ok","timestamp":1697441958336,"user_tz":-540,"elapsed":305,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"bdd6a600-011d-4f68-9640-c7b1b01425b9"},"execution_count":82,"outputs":[{"output_type":"execute_result","data":{"text/plain":["         역명      사용일자  승차총승객수  하차총승객수      등록일자   total  요일\n","0        강남  20230930   93236   91978  20231003  185214   6\n","1      홍대입구  20230930   83054   96089  20231003  178899   6\n","2  잠실(송파구청)  20230930   87055   87863  20231003  174918   6\n","3   구로디지털단지  20230930   66434   65598  20231003  132032   6\n","4        역삼  20230930   62596   69339  20231003  131372   6"],"text/html":["\n","  <div id=\"df-80946b6f-0895-477b-815c-d55f29600c6b\" 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>역명</th>\n","      <th>사용일자</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","      <th>요일</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>강남</td>\n","      <td>20230930</td>\n","      <td>93236</td>\n","      <td>91978</td>\n","      <td>20231003</td>\n","      <td>185214</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>홍대입구</td>\n","      <td>20230930</td>\n","      <td>83054</td>\n","      <td>96089</td>\n","      <td>20231003</td>\n","      <td>178899</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>잠실(송파구청)</td>\n","      <td>20230930</td>\n","      <td>87055</td>\n","      <td>87863</td>\n","      <td>20231003</td>\n","      <td>174918</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>구로디지털단지</td>\n","      <td>20230930</td>\n","      <td>66434</td>\n","      <td>65598</td>\n","      <td>20231003</td>\n","      <td>132032</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>역삼</td>\n","      <td>20230930</td>\n","      <td>62596</td>\n","      <td>69339</td>\n","      <td>20231003</td>\n","      <td>131372</td>\n","      <td>6</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-80946b6f-0895-477b-815c-d55f29600c6b')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-80946b6f-0895-477b-815c-d55f29600c6b 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-80946b6f-0895-477b-815c-d55f29600c6b');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-960f0940-6a96-44de-96cf-357c885a720d\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-960f0940-6a96-44de-96cf-357c885a720d')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-960f0940-6a96-44de-96cf-357c885a720d button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":82}]},{"cell_type":"code","source":["rideon_df = df.groupby('역명').max('total').sort_values('total', ascending = False).head(5).reset_index()\n","sns.barplot(rideon_df, x = '역명', y = 'total').set(title = '서울 지하철 전체 노선 23년 9월 하루 승하차 최대인원 역 top5')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":489},"id":"5hrHsVDqbDAM","executionInfo":{"status":"ok","timestamp":1697441998179,"user_tz":-540,"elapsed":409,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"ec128527-f49f-4103-e1d1-9dbe8c4b06c0"},"execution_count":83,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[Text(0.5, 1.0, '서울 지하철 전체 노선 23년 9월 하루 승하차 최대인원 역 top5')]"]},"metadata":{},"execution_count":83},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["이건 사실 같은 역은 노선별로 분리한 결과임!\n","\n","즉, 단일역&단일노선으로는 강남역 2호선이 최대인원이라는 뜻!\n","\n","확인 결과 top5 모두 2호선이었음."],"metadata":{"id":"et9t_w7ng9MR"}},{"cell_type":"code","source":["df.groupby('역명').max('승차총승객수').sort_values('승차총승객수', ascending = False).head(5).reset_index()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"tz60V5bY_eF9","executionInfo":{"status":"ok","timestamp":1697435073861,"user_tz":-540,"elapsed":551,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"7693a167-6c25-44c9-c811-ba2c38da5464"},"execution_count":41,"outputs":[{"output_type":"execute_result","data":{"text/plain":["         역명      사용일자  승차총승객수  하차총승객수      등록일자   total\n","0        강남  20230930   93236   91978  20231003  185214\n","1  잠실(송파구청)  20230930   87055   87863  20231003  174918\n","2      홍대입구  20230930   83054   96089  20231003  178899\n","3        선릉  20230930   67514   59389  20231003  126829\n","4   구로디지털단지  20230930   66434   65598  20231003  132032"],"text/html":["\n","  <div id=\"df-8ccb5ab5-75a4-416f-adae-6f8862915642\" 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>역명</th>\n","      <th>사용일자</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>강남</td>\n","      <td>20230930</td>\n","      <td>93236</td>\n","      <td>91978</td>\n","      <td>20231003</td>\n","      <td>185214</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>잠실(송파구청)</td>\n","      <td>20230930</td>\n","      <td>87055</td>\n","      <td>87863</td>\n","      <td>20231003</td>\n","      <td>174918</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>홍대입구</td>\n","      <td>20230930</td>\n","      <td>83054</td>\n","      <td>96089</td>\n","      <td>20231003</td>\n","      <td>178899</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>선릉</td>\n","      <td>20230930</td>\n","      <td>67514</td>\n","      <td>59389</td>\n","      <td>20231003</td>\n","      <td>126829</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>구로디지털단지</td>\n","      <td>20230930</td>\n","      <td>66434</td>\n","      <td>65598</td>\n","      <td>20231003</td>\n","      <td>132032</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ccb5ab5-75a4-416f-adae-6f8862915642')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-8ccb5ab5-75a4-416f-adae-6f8862915642 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-8ccb5ab5-75a4-416f-adae-6f8862915642');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-09966090-4b10-4d52-a163-36cfa12fb83d\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-09966090-4b10-4d52-a163-36cfa12fb83d')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-09966090-4b10-4d52-a163-36cfa12fb83d button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":41}]},{"cell_type":"code","source":["rideon_df = df.groupby('역명').max('승차총승객수').sort_values('승차총승객수', ascending = False).head(5).reset_index()\n","sns.barplot(rideon_df, x = '역명', y = '승차총승객수').set(title = '서울 지하철 전체 노선 23년 9월 하루 승차 최대인원 역 top5')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":489},"id":"SikB7j6OB1Jp","executionInfo":{"status":"ok","timestamp":1697438627874,"user_tz":-540,"elapsed":799,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"1b340934-53d0-41ff-bb0a-00cc22c9b36e"},"execution_count":78,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[Text(0.5, 1.0, '서울 지하철 전체 노선 23년 9월 하루 승차 최대인원 역 top5')]"]},"metadata":{},"execution_count":78},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkkAAAHGCAYAAABgjh+kAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABa3ElEQVR4nO3deVxO6eM//tfdolJKi0qJbMkaiVENxRihyfb2ITTG8B3LIIwlS2QIYxm795hhyOgt+/K2Zs1aY99FhEJzo4325T6/P/w67273ueuOFHk9H4/zeNS5rnPOdd/nXl73Ode5jkwQBAFEREREpESrvBtARERE9DFiSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEZUBjtlKRPTpYUgiFf3790fDhg0ly1auXAmZTKYyPzIyEt9++y3q16+PypUrQ0dHB2ZmZnBzc8OcOXPw6tWrd27P2wHDwsICM2fOVJp36NAhyGQypcnFxUWpjr29PcaOHSu5jd69eyst6+npqVQeHR0NmUyGo0ePqm1n3759oaOjozRpa2urLDdhwgTY29srLXv06FG12585cyYsLCwAAKtXr5Z8/t/m6+uLNm3aFFtPnQsXLkAmk+HIkSMqZTdv3oRMJkNERMQ7r78kgoODNXrM+/btg0wmw6NHj0plu4cOHYKXlxdsbGxgYGCA+vXr4/vvv0dcXJxYZ/LkySr78m2TJ09WeW1OmDBBLH/06BFkMhl2796tsuzbrwt10/bt20v8+MaPHw9tbW3k5+cXWU+qDatXr1aq4+npiR49emi03ZkzZ6qs759//lGqY21tjcmTJ2u0Pj8/P/H9ou61efToUTg7O0NfXx92dnaYNWsWcnNzleqo25fp6emYNWsWGjduDENDQ9SuXRuDBw/G48ePxTqavPZevXoFf39/WFtbw8jICJ07d8adO3eU6qSlpUEmkyEkJESjx04fnk55N4A+Prq6ujAwMNC4/o4dO9CnTx+4ubkhMDAQ9evXh4mJCV6+fIljx45hwYIFCA0NxaVLl1C5cmXJdZw8eRJfffWVynyFQoEWLVrg0qVLRbahbdu2Kh84mjyG/Px8PHz4EP7+/hg0aJA4X19fH3fu3EH9+vWho6PZ22TRokWYPn06AEAmk0FHRwezZs3C5s2b0aJFiyKXdXNzU2q/uueprKSnpwMATE1N32n5nJwcLF68GOvXr8fjx49RrVo1eHh4YM6cOahVq5ZYb9++ffjtt98QFRWF7Oxs1K5dGwMHDsS4ceOKfd7lcjmSk5PF/588eaJR21atWoWVK1ciNjYW1apVg5+fH2bNmoVKlSqJdfbu3Yvu3btjzJgxWLBgAapWrYp79+5h8uTJcHNzw7179zTeR+PHj1d6bQGAubm5Rsu+/bp4m1wuVwn0msjOzsauXbvQqlUraGtrl7gN1tbWJd5mgVGjRsHX11dpXrVq1YpcpmrVqkhNTVWat379epXnVcr27dvRp08f+Pv749///jfu37+P8ePH49KlS9izZ0+xy/ft2xd///035s2bhxYtWuDp06eYOXMm2rVrh8uXL2u0LwVBwDfffIMnT55g5cqVsLGxQUhICNzd3bF//37xfZaRkVHsusqKvb29UhAs0KBBA0RHR5dDi8oHQxKpSE1NLdGX459//gkrKytERESofOB6eHigQYMG8PPzw8mTJ9GlSxfJdbi4uODq1avi/zKZDJUqVYKXlxfq1q1bbBsMDQ3h6OiocZsLvHjxAvXr11eaV/Dr2tzcHHK5XON12dnZwc7OTvw/Ly8Pp06dgru7u3gkSEpubi5ycnKUvngUCgWysrKgr69fgkdTeu7evQsA7/ScAkCXLl0QHx+P8ePHw9nZGfHx8Zg4cSK8vb1x+fJlVKpUCVevXkXfvn0xfPhwjB8/HkZGRjh69CimTp2KuLg4rFixoshtzJ49G6tWrSpRu3755RdMnToVU6ZMQY8ePXD79m1MmTIFDx48wLZt28R6+/fvh4WFBZYsWSLOq1WrFjIyMtCjRw/cuHEDX3zxhUbbrFatWrEhQJ3KlSsXuQ+MjIxKvM78/Hz88MMPePr0KeLj47F69WoMHz5csm5WVhYUCgVq1KihND8vL++dXp9xcXHIyclRCsCCICAmJgY2NjYwNjZWu+zIkSMxatQo8f/q1asXu728vDyMHj0a//rXv7B06VIAQJs2bWBlZYVOnTph3759+Oabb9Quf+fOHezfvx9//vknBg8eDABo2bIlmjdvjlq1aiEsLEypTeqEhobi3LlzuH79Oho1agTgTfiUy+Vwc3MrdvnCIiIi0L59ezx8+LDYo5jvKzg4GN27d1eap6en90G3+bHh6TZSER8fj9q1a2tc39XVFc+fP8cff/yh8mvv5s2bWL9+PQwNDdGsWTO16zA0NESTJk3EqXHjxjAxMUFcXBw8PDzULhcSElLsqYiiPkisra2Rm5srTvn5+di/fz+0tLQwadIk5OfnIy0t7Z1+4YWEhODJkycICAhAVlYWoqOjER0djaSkJKV6W7ZsgampqdJkbm6O48ePl3ibpeXgwYMAILah8CmXpk2bFrt8z549cfPmTQwbNgytWrVCr169sGTJEty6dQsXL14EAFhaWuLy5cv49ddf0aFDB7Ru3RpTp07FwIEDsXbt2mK3sXLlSgiCIE4FbVbn+fPnmDVrFkaPHo05c+agVatW+O6777B//37s3LkTf//9t1jX29sbiYmJ8Pf3x4ULF3Dv3j3s378fM2fOhK2trUbPwaBBg4p9bRZ3JCQiIqLI5QuHck2cP38eX375Jfbs2YPw8HBs3LgR48ePh4eHB44ePapyatvPzw9VqlRRmUxNTbF169YSbRsAOnTogPr164uTg4MDHB0d0bBhQ9y7d6/IZS0sLODo6ChOJiYmxW7v5s2b+Oeff+Dj46M0v2PHjjA0NCzy9Dnwv1P9WlrKX5UFp3817Wt48uRJODo6igGpQO/evaGtrY3s7GwIgoDMzEyN1ldWbG1tlT6XmzRpovKjsqLjkSRSkpmZiRs3bqi8mYsydepUVKpUCfPnz8eoUaNQtWpVGBoaIiUlBVlZWfDw8EBERARsbW1L1Ja//voLMpkMvXv3VlunZ8+exfa90dXVLbK88K/ac+fOwdfXFx07dsT48eMxbdo0zJ8/v0TtBt78Yg4ICECDBg3g7e2NixcvolWrVmJ54VNOvXv3RseOHQG8+TA+ceIEfH194ezsXOLtloaYmBjs27cPXbt2hb+/P9zc3JROucTExKBbt25FrkPq13VBWH327BkAwMbGRnJZfX19jY5klvR0W2RkJDIzM1VO9bRo0QKOjo7Yt2+feHTIx8cH+/btw5IlS+Dj44PU1FTY2trCy8sLAQEBGp1qmzdvXrH9akxMTJCdnV3suv773/8W+eVU1HtLoVBg5syZ2LlzJ27fvo1u3bph69atYsD64osvMHHiRHTu3BnVq1dH165dxb5vf/zxh3gEBnjzXtm+fTtGjx4NV1fXYtv9trt374rBQiaT4cWLF3Bzc4O9vb1KH8LSkJOTAwAqR7xkMhn09fXFcnUaNWqETp06YdKkSQAAZ2dnPH36FDNmzICNjQ369u2rcVuk+tUJgoD8/Hy8fv1ao9N2hU+BFfyQDQoKEvtoHjhwAMHBwbh69Sr09PTg6emJX375BQ0aNFBqR2BgIOrUqYPg4GA8ffoU9evXR2BgYIkez+eCIYmUHDt2DLm5udixYweWL18OU1NTNGnSBLdu3VK7jLa2NgICAhAQEIAXL15ALpcjNzcXRkZGqFmz5jsdnk1LS8Ovv/6KAQMGwMrKSm09ExMTmJiYIDMzE7Nnz8aff/6JpKQkODs7Y+HChWjXrp1G2xMEAevXr8fo0aORl5cHfX19PHnyBFOnTsWoUaPw4MEDjft+vHz5El27dkVSUhKSk5Oxa9cu9OzZU/xymDBhglJHW319faVTbefOnUPTpk3fq9/Hu8rNzcWQIUPQunVr7NmzB25ubujevTv27dsnnvbJy8t7p3WfOHECANQeUXzx4gW2b9+O9evXK30xq1PS020FHXUNDQ1VyrS1tfHw4UMAwLZt28Q+Wf369UOvXr2QlZWFrKwsvHjxAhMmTEB8fHyxR4GqV6+O6tWr48mTJ5g4cSL27t0LhUKBLl26YPHixWJQ1qSjee3atd/51KeWlhbMzc3RrVs3bN68GU2aNFFZ9/bt2xEXF4d9+/bB2tpa/EI3MzODmZmZUv2tW7eiTZs2KqEtLS1N7KtiZ2en9nkucOPGDfTt2xfZ2dnYtGnTOz22AhkZGYiOjhb3YYFGjRrBwMAAJ0+eRJ8+fcT5165dQ2JiotIPF3W2b9+OuXPnIjg4GHFxcbCwsICnpyfCwsJgaWmpUfvatWuHDRs24O7du0qBZceOHQCAIUOGAHgTaIty+PBhnD17FoMHD0Z4eDhsbGzENmzduhW+vr744YcfMHfuXLx+/RoLFy6Eq6srLly4oNRtYfPmzZDJZFi+fDn09fWxYMEC9OvXD+bm5uIPNvr/CUSF9OzZU7C2thbMzMyESZMmCYIgCLGxscKdO3eEO3fuCIGBgULBy0ZPT08AUOIpKCio2HaMHj1aACD89ttvKmXm5uYq6+jevbtgY2MjbNu2Tbh48aIwevRoQUtLSzh79qxYp1atWkrtiImJERQKhXD48GGhXbt2QuXKlYU//vhDePz4seDu7i7o6ekJQ4YMEe7duyfcuXNHACAcOXKkyHZHR0cL9evXF/T09ISwsDDBz89P0NXVFdavXy/WGT9+vFCrVi3J5VNSUgQTExPhjz/+EFasWCG21dzcXBAEQfjtt98ETd62ffv2FZycnMT9JjXdu3dPaZmsrCyhd+/egpGRkVj25MkTwd7eXqhXr574XN64cUMAIJw4caLYdhR4+vSpYGpqKvTs2VOyvEuXLgIAwcDAQNiwYYNS2ezZszV6zHv37hUACA8fPpQsv379ugBAWLt2rdL8+/fvC9ra2kLnzp0FQRCEH3/8Uejbt6/Qt29fwdfXV6hXr55QpUoVISAgQFi4cKEQGhoqnD59WkhOThYCAgLU7ktBEITU1FShZs2agpubmxARESGcPn1aaN++vWBjYyMkJiYKgiAIDx8+VHpd2traisufOHFCo/dU48aN1bYhNzf3nSaFQqGyrl27dgkAhIMHDyrN9/DwUGrP3r171bbn+fPnwpQpUwQ9PT2hbdu2gr6+vtCjRw/h1q1bYh0rKyshICBA/N/ExETt58aAAQNUno/Cr82FCxcKurq6wu+//y4kJycLFy9eFJo0aSI0b95cyM3NFeu9vS9zc3OFzMxMcUpPTxeSk5OFp0+fCnfu3BHOnj0r7NmzR9ixY0exr738/HyhXbt2Qr169YRdu3YJkZGRwvDhwwUAwsCBA4Xx48cL48ePF/z9/QUASp8Xbyt4TRTeVl5enmBjYyN8++23SnWzsrKE2rVrC3379hXnARD09fWFJ0+eiPOys7OFGjVqCJ6enuK8WrVqCaampoKhoaFQuXJloWnTpsKKFSuE7OxstW2riBiSSHTx4kVBJpMJ8+fPFxYsWCDo6uoK169fV6pT8MUtCIJw9+5dyS/fkSNHCtra2mq/nF+8eFFkO3bu3CnIZDKhdevWgpGRkXDnzh2l8rdDUmRkpOQHs4eHh9CuXTvx/1q1agkDBw4U25GTkyMMGjRIACB06tRJuH37tlg3Ly9PWLdundCsWTMhOjpauHfvnmBiYiJERERItjk7O1tYvHixULlyZcHc3Fw4ffq0uJ5+/foJAIRvv/1WyMjIKDIkjRo1SgAgfgkXPJ/vEpKK+2I1MTER6z9+/Fho0aKFYGRkJJw6dUppXU+fPhVat24tODk5CXl5eSUOSXl5eYKnp6dgaWkpJCQkSNaJjY0VDh48KHz33XeCrq6uEBoaKpYVhKSC/Xb9+nUhMjJS2LZtmzB79myhZ8+ewpkzZ4r9ohIEQWjXrp1gbW0tHDt2TMjMzBSuXbsmtGrVSqhfv74Ykt42bNgwcX+9ePFC5XksKiTNmzdP0NfXF54/fy7OS0lJEYyNjYUZM2YIgvC/kLRy5Urhzp07wv3798W66enpRQbdgik2NlZy+wXvjXeZ3t6/cXFxgqWlpaCtrS3ExMQolXl4eAjdu3dX+zwIgiDs2bNH6Nmzp2BgYCA4OjoKhw4dEgRBEGJiYoQePXoIWlpawuLFiwVBKHlI8vDwEARBOsArFAph+fLlgomJiQBA0NLSEvr27au0TwRBNSSNGTOmyOdHR0dHsLOzE7799luNXnuZmZnCxIkTBUtLS0FfX19o1aqVsH37dqU6r1+/fqeQ9PfffwsAhP3796vUnzBhgmBkZCTk5+cLgvAmJPXr10+l3vjx4wV9fX0xHG/atEk4evSocPnyZeHo0aPC5MmTBSMjI6Fjx46SAbqi4uk2AvDmcPXAgQNRr149jB49Gjo6OggLC4OPjw/+/vtvyVNeDg4O4rKFz+0XXHHz9ukiY2NjlQ6Qbzt9+jT8/PwwcOBArFmzBm3btkWvXr1w4sQJtafdYmNjAUDl0LmLiwvCwsKU5pmamiqdtli4cCHGjBkDBwcHxMXFKV3a6urqCldXV7HfQFRUFGrWrCnZhs2bN2PixIn44YcfMHv2bPFqNm1tbWzatAlt2rTB7du3ixyWICwsDKtXr4anpycGDx6My5cvw9HRscgr49TZvHkzNm/eLP7v6+uL6OhopSsIC7O1tcU333wjjnVVmI2NDc6ePYvExMRiLxeXMnnyZJw9exbHjh1Tewqxdu3aqF27Njp37oyMjAyMGjUKPXv2VOr7UzB2l66uLoyMjFCtWjXY29ujSZMmsLOzU+qfpM6WLVswePBgcbiJatWq4ddff8XmzZs1ugLNzMwM8fHx4v+rV68ucryo2NhY2NvbK63bxMQE9evXx/3795Xq2traqpxSK+7qtuK0aNECMTEx77Rs4X5Ojx8/xtdffw19fX00atQIPXr0wMmTJzUeygB405/GzMwM+/fvh6enJ1auXImff/4Z586dw65du3D79u0PcrWWTCbD6NGjMXz4cDx58gRmZmYadfoeP348/Pz8xP8rVaoEJycnzJgxAxMnTlS6snDfvn3Frq/gtNaCBQve7YEUoeAzUOr5s7e3R1paGl68eCF+hhY+5VegVq1a4illS0tL9OvXT6n8q6++goeHB7p06YJDhw6pvVK5omFIIqSlpaFbt26IjY1FRESE+EW+detWfPnll/Dw8MC+fftQr149yeWHDh2K//znPyrz3+58e+PGDZX+EIXt27cP/fr1w1dffYU1a9ZAV1cXmzdvRps2beDm5oZDhw5Jdl4tONd+8eJFeHt7i/MvXbqkts0FLCwsYGFhgaNHj+Lrr78usi4AHDlyRPKc/cCBA9GuXTu1H/L+/v5Frregn8GsWbMwcuRINGnSBN26dcOuXbuKbVNp0NbWxqxZs9SW6+joFNk3TJ1///vfWLRoEUJCQtC2bVuNlunWrRu2bduGmJgYODk5ITAwEIGBgcUud/369WLrWFtb48CBA3j58iVSU1NRs2ZN6OrqYvLkyUoDPAJvLpWPiYnBiBEjMHToUMmxYfz8/PD999+r3V7dunWxceNGJCYmioHi1atXiImJUXqtvm3QoEHYsGFDsY/nbYU78QJvLteWeg+kpKQgKSkJgiDAzMysyI7yN27cQNeuXaFQKHDs2DEYGhriiy++wJdffondu3dLfuFKadasmdJVi3K5HLdv3xb/1+RikYJOzvHx8YiOji5RSNPV1S3RVbtvD+lRoEqVKjAyMkKbNm2UrojURHJycrHDity4cUNlyIXiFPQhk+qILjVPqp9owZV1Rf2Q7dy5MywsLHDt2rXPJiRxCABC9+7dce7cOWzZskVp7Jd69erh6NGjyMzMVBlht7BVq1YhISFB7VTcgG15eXkYM2YMunfvjj59+mDHjh3iFWn29vY4deoUcnJy1Hbm/eKLL9C9e3cMHz4cW7Zswfnz5+Hv749Tp05h7ty5Gj0HHTt2VLqc/O1Jk1/jBQHp6tWrWLlypUbbBYCNGzfi66+/xr/+9S9MnjwZxsbG2LlzJ65cuaLU2bSsvH79Gr6+vjh58uR7rWffvn3w9/fHzJkz8d1332m8XMG+f3tE5MjISAwfPlzsVP0+LCwsULduXejq6uLUqVN49uwZunbtqlQnOTkZDRs2RPPmzdGyZUs0bNhQcipqiIrhw4fD0tIS3bt3x7FjxxAREYGePXvCyMgIY8aMUbvcvHnzcOfOHZUpPDwcwJvhD6TKixqzJzExEaNHj4aNjQ1MTU1Rt25d1KtXD2ZmZrCxscHo0aORmJgo1s/KykJgYCBcXFxgbW2NqKgoODo6ws7ODkeOHEFGRgbatGmD58+fa/q0Kyl4b8nlcsTExODvv//G9u3blY7UFfbzzz9DR0cHpqam+OKLLzBv3jwkJCRovL2lS5di5MiR79RWKVu2bBGf999++02jZTZs2KD2dVQwNW3aVHL09aLUqVMHACQHf3z8+LF45LVASkqKSr0HDx7AxMSkyCPXOTk5ePXqFapWrVqi9n3KeCSJ8PPPP0Mmk8Hd3V2lrEmTJrh8+XKRh6czMjJUxkcqLC0trcjtFxylWL9+PQYOHKhS7uDggPPnzxd5JUlYWBhmz56NsWPHIikpCS1atMCJEyckH5MUTY8kabquiRMnqv3CateunThoXmZmJv7880+MGDECixYtEn8Ruri44OjRo6hatSo2btyo0XYzMjKUbplR2OvXr5GdnS15NERXV1fpypfs7Gxs2bIFnTt3lgwAdevWRWRkZJG//C9dugRfX198++23CAoKkqyzYcMGtG/fXuUU5s6dO1G1alWVsYju3r2L33//HcHBwZJXTrm6uuLEiRMluiowKysLP/30E3x8fFSOiLx9ak3K4sWLixwvyMTEBGfPnsXEiRPRs2dPKBQKeHl54dy5cypXjRVWcGXc2wqGq5A6NVeU/Px8eHp64sWLF1i0aBHat28vHhl8/vw5Tp48iYCAAJw8eRJXrlyBtrY2Hj16hI0bN2LKlCmYNm2a0lAajRs3RlRUFM6cOaPRFV5Fvb8K9peuri7s7Owkj0pfuHABCoUCurq6MDExUTqCVNz4WAWuXr0qjtElZeTIkZKXwN+6dQtfffUVdu7ciQEDBoiv+8LDeLx96lSdsWPHqr01EvDms7JKlSpFrqPgNVD4SjhnZ2fUqFEDoaGhSoM/FryXfXx8lI4Q7d+/H3PmzBFPn6elpWHbtm3o3LkzAOCff/6RfB+tW7cO+fn58PLyKv7BVhAMSYQvv/yyyPLiDmlPnDhR8oOtJKZOnVpkeXGj6xoYGGDu3LkaHzlSJzw8XG2/IwBFlmmqW7du4jhDBgYGOHr0qOQtOFq2bFmi9Z4/fx7t27cvso7UPflq1apVovudGRgYFDk2VUJCAry9vVGzZk34+/vj5s2bSuWWlpawtLREbGwsxowZA39/f3Ts2BHa2toIDQ3F1q1bsXz58hIPHWFubl7sMA3Tp09H06ZNUadOHTx69Ajz5s1DYmIi9u7dq1I3KSlJo8Eaixv/q0aNGip948rakydPcPPmTcyePVupnw3wps9Zv3798PjxY0yZMgVPnz5FzZo14ejoiNjYWLX90KpXr47/+7//02j7LVu2FIeAkMlk0NLSQqVKlVC5cmVxcMqifoiVxQCG6k6v5ebmQi6XIycnB6GhoZLLOjg4ICgoqEyOsBSEs9WrV8PV1RWxsbEYP348li1bht69e2PYsGHo168f0tLSsGDBAuTk5CA4OFhpHXfu3EH37t0xduxY8fZJOTk5mDFjhrjugwcPYsiQIXByckJ2djb279+PxYsXIygoqESnLT91DElUKpycnJQ6Ckt51/uAfUxevXql8T27iru/kb29PfT19TW+N1xxPD09NR4BWBMJCQlFPgZTU1PJfkp3796FXC6HXC6XHBCzoN9MUFAQatSogY0bN2LZsmXIzs5Gw4YNERoaigEDBqjd7v379/Hy5Uu15ZaWlmqP0ujq6mLChAmQy+WoVq0aunXrhlmzZhV5imHlypWS9xUsLD09XfLo1sfCzs4OLi4uWLlyJezt7VWOJEVERODf//63eESiwLt01Jdiamr6TveYK205OTkavy/f9vaFHW/z9fXV6EbM78vOzg5BQUFYtWoVVq1ahW+//RYA0KtXL+zduxezZ8/Gxo0bUalSJXh4eODcuXPi6bgCo0aNwuvXr/F///d/yMnJQevWrXHixAnxKNnIkSORkpKChQsXIi4uDtra2nBycsKmTZs0DsYVRvlcVEefqsJDABSQGqdEaho5cmSptEFqnCRN1KpVSxgzZoxk2ZEjRzR6DEOGDCl2OwsXLtRoXRcuXNCo3UFBQSUeAuB9SF3m/iH3p6bWr1+vUbsWLlxYKtvT9HlAMeMCFadgCIBdu3YVWzcmJkbjum9LTU0VJk2apDJeGAChZs2awoQJE4Tk5OQSr1cQNBsCoCTeHgKgKMUNAVDgu+++02hfRkZGKi135coVjV8HRV26rwlNhgB4XwCEadOmfbD1VzQyQSjFn55ERPTRS01NFY/GWVhYaHRJPFUMMpkM06ZNUzkFR9J4uo2I6DNTcDsfIioahwAgIiIiksAjSURERJ8J9rApGR5JIiIiIpLAI0nvQaFQ4NmzZ6hSpUqZXPpJRERE708QBLx+/Ro2NjZF3oqFIek9PHv2TKPB5oiIiOjjEx8fX+S98hiS3kPB8PHx8fHibSaIiIjo4/bq1SvY2dkVfxuYMmpPhVRwis3Y2JghiYiI6BNTXFcZdtwmIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCTolHcDPhctJ/5V3k34ZF1aOLC8m0BERJ8hHkkiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEnTKuwFEZS1uVtPybsInq+aMG+XdBCKiMsMjSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEiCTnk3gIg+X+4r3Mu7CZ+0s6PPlncTiCo0HkkiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEso1JF24cAGdO3dGjRo1YGNjAw8PDxw/fhwAoFAoEBgYiBo1asDS0hJdunTBo0ePlJZfvnw5ateuDUtLS7i7u+Pq1atK5Vu2bIGjoyOsrKzQvHlzcd0Fjh8/jubNm8PKygoNGjTAli1bPuTDJSIiok9IuYWk1NRUeHl5wcXFBQ8fPsSTJ0/Qu3dveHt74+HDh5g/fz527tyJixcvIiEhAY0aNYK3tzfy8vIAAGFhYZg7dy7Cw8Px/Plz9OnTB15eXkhNTQUAnDlzBkOGDEFISAjkcjlmzJgBHx8fxMbGAgBiY2Ph4+ODoKAgyOVyhISEYMiQITh7luOOEBERUTmGpOjoaCQnJ2PixInQ1dWFlpYWRo8eDW1tbVy+fBnLli1DYGAgrK2toa2tjeDgYMTFxeHIkSMAgCVLlsDf3x8ODg4AgDFjxsDY2BibNm0C8OYoU//+/dGmTRsAQK9eveDq6orff/8dALB69Wq4u7ujZ8+eAABXV1f4+vpi+fLlZf1UEBER0Ueo3EKSk5MTGjdujNmzZyM9PR05OTlYsGABzMzMYG9vD7lcDnf3/43Ga2BgAGdnZ0RFRSEnJwdXrlxRKgcANzc3REVFAQCioqJUyt3d3TUuJyIios9bud2WRF9fH8ePH4ePjw+MjY2hra0Ne3t7nDhxAs+fPwcAWFlZKS1jZWUFuVyOxMRE5OXlSZZfv34dACCXy9Uur0m5lOzsbGRnZ4v/v3r1qoSPmoiIiD4V5XYkKSMjA19//TVat26NpKQkpKSk4Pvvv0eHDh2gUCgAADKZTGkZLS0tKBSKYsuBNx2/36dcyrx582BiYiJOdnZ27/DIiYiI6FNQbiFp27ZtSE5OxvLly2FiYoLKlStjypQpqFmzJpYtWwYASEpKUlomKSkJFhYWMDMzg0wmU1sOAObm5u9VLmXKlClITU0Vp/j4+Hd78ERERPTRK7eQlJycDD09PZWjOZUrV4aFhQVMTExw6dIlcX5eXh6uXLkCZ2dnGBgYoFGjRkrlAHD+/Hk4OzsDAFxcXN6rXIqenh6MjY2VJiIiIqqYyi0keXl54cmTJwgODkZubi4UCgXWrVuHY8eOoXfv3hg2bBimTZuGhIQE5ObmIjAwEIaGhvD29gYAjBw5EvPnz8fdu3ehUCiwatUqPHz4EH5+fmL52rVrERkZCUEQsGvXLoSHh2Po0KEAgGHDhuHAgQPYs2cPBEHA2bNnsW7dOvz444/l9ZQQERHRR6TcOm43bNgQhw4dwsyZM7Fq1SpkZmaibt262LZtGzp06IC2bdsiKysLTk5OyM3NhbOzM8LDw2FgYAAAGDFiBF6+fIkOHTogPT0dDRo0QHh4OKytrQEAXbp0wYIFCzBgwAAkJibCzs4O27ZtQ7NmzQAATZs2RVhYGKZMmYKBAwfCwsICS5cuRdeuXcvrKSEiIqKPiEwQBKG8G/GpevXqFUxMTJCamlrsqbeWE/8qo1ZVPJcWDizV9cXNalqq6/uc1Jxxo1TX577CvfhKpNbZ0Rz8luhdaPr9zXu3EREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUnQKe8GEBFR+TvZzqO8m/BJ8zh1srybQB8AjyQRERERSWBIIiIiIpLAkEREREQkgX2SiIiIPjIrx+8t7yZ8skb96lNq6+KRJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEso9JD148AA9e/ZE9erVYWFhAVdXVwCAQqFAYGAgatSoAUtLS3Tp0gWPHj1SWnb58uWoXbs2LC0t4e7ujqtXryqVb9myBY6OjrCyskLz5s1x/PhxpfLjx4+jefPmsLKyQoMGDbBly5YP+VCJiIjoE1KuISk+Ph7t27dH586dER8fjxcvXmD+/PkAgPnz52Pnzp24ePEiEhIS0KhRI3h7eyMvLw8AEBYWhrlz5yI8PBzPnz9Hnz594OXlhdTUVADAmTNnMGTIEISEhEAul2PGjBnw8fFBbGwsACA2NhY+Pj4ICgqCXC5HSEgIhgwZgrNnz5bPk0FEREQflXINSVOnTsXo0aMxbNgw6OjoQCaToV27dhAEAcuWLUNgYCCsra2hra2N4OBgxMXF4ciRIwCAJUuWwN/fHw4ODgCAMWPGwNjYGJs2bQLw5ihT//790aZNGwBAr1694Orqit9//x0AsHr1ari7u6Nnz54AAFdXV/j6+mL58uVl/TQQERHRR6jcQlJubi527tyJpk2bws3NDZaWlvD09MStW7fw8OFDyOVyuLu7i/UNDAzg7OyMqKgo5OTk4MqVK0rlAODm5oaoqCgAQFRUlEq5u7u7xuVERET0eSu3kBQfHw9BELBkyRKEhYXh0aNHcHV1RYcOHRAfHw8AsLKyUlrGysoKcrkciYmJyMvLU1sOAHK5/L3KpWRnZ+PVq1dKExEREVVM5RaS/vnnH2RmZiI4OBi1atVC5cqVMXv2bCgUCpw5cwYAIJPJlJbR0tKCQqGAQqEoshx40/H7fcqlzJs3DyYmJuJkZ2f3Do+ciIiIPgXlFpKMjY0hk8nQokULcZ6Ojg5q1aoFbW1tAEBSUpLSMklJSbCwsICZmRlkMpnacgAwNzd/r3IpU6ZMQWpqqjgVHPEiIiKiiqfcQlL9+vVRpUoVPHjwQJyXk5ODhw8fwsbGBiYmJrh06ZJYlpeXhytXrsDZ2RkGBgZo1KiRUjkAnD9/Hs7OzgAAFxeX9yqXoqenB2NjY6WJiIiIKqZyC0l6enrw8/PDyJEjkZycjKysLAQEBMDc3Bx9+/bFsGHDMG3aNCQkJCA3NxeBgYEwNDSEt7c3AGDkyJGYP38+7t69C4VCgVWrVuHhw4fw8/MTy9euXYvIyEgIgoBdu3YhPDwcQ4cOBQAMGzYMBw4cwJ49eyAIAs6ePYt169bhxx9/LK+nhIiIiD4iOuW58UWLFmHChAlo0KABcnJy8OWXX+Lw4cPQ09NDcHAwsrKy4OTkhNzcXDg7OyM8PBwGBgYAgBEjRuDly5fo0KED0tPT0aBBA4SHh8Pa2hoA0KVLFyxYsAADBgxAYmIi7OzssG3bNjRr1gwA0LRpU4SFhWHKlCkYOHAgLCwssHTpUnTt2rXcng8iIiL6eMgEQRDKuxGfqlevXsHExASpqanFnnprOfGvMmpVxXNp4cBSXV/crKalur7PSc0ZN0p1fe4r3IuvRGqdHV16g9+ebOdRauv6HHmcOlmq61s5fm+pru9zMupXn2LraPr9Xe63JSEiIiL6GJU4JL18+VL8W1tbu8hL5omIiIg+VSUOSZ06dRJvDcIzdURERFRRlSgkXbt2Dbdv30bLli0BqA7mSERERFRRlCgkBQUF4fvvv4eZmdmHag8RERHRR0HjIQB+/fVXXLp0CdevX1eaz6NJREREVBEVG5J0dXXh6OiIZ8+e4cSJEzA1NRXLBEFA48aNVZa5fft26baSiIiIqIwVG5J27NiBnTt34v79+4iJiREHYywwceJEaGlxJAEiIiKqWIoNSd26dUO3bt3wzTffYNCgQahbty6aN28O4M2ptu+++44hiYiIiCocjfsk9e7dG7du3cKwYcPw999/f8g2EREREZW7Eh0Cmjx5Mu7du4eTJ0t3+HUiIiKij02JQpKenh4GDx6MtLQ0ABxMkoiIiCoujU+3Ffj111/Fv1u2bMkhAIiIiKhCKnFIKuzChQul1Q4iIiKij0qRIUkul2PEiBFqy8eNG4clS5YozevcuTOGDh1aOq0jIiIiKidFhiR9fX24u7sDeNP/KCAgAL/88ot4yX+1atWwe/duTJs2DTo6b1Zla2v7gZtMRERE9OEVGZJMTEwwfvx48f+AgABMmDBBpR/S9OnTUalSpQ/TQiIiIqJyUGyfJC0tLTEUCYIgHjECgL/++osdt4mIiKhCKjYkxcTEqC2zsrIq1cYQERERfSyKDUl169bFqFGj0Lx5c/Tu3RtVq1Ytg2YRERERlS+NBpNcvXo11q5dC3t7e6xfv/5Dt4mIiIio3Gk0TpJMJkNkZCQOHz4MPz8/JCYmYsKECQA46jYRERFVTBqHpNzcXHh5eSE8PBxffvkl2rZtiy+++AIeHh7ikABEREREFYVG6abw0SJnZ2dMmDAB06ZNAwCcOHFC6Yo3IiIioopAo5B0+PBhpXGQRo0ahRcvXiAjI+ODNYyIiIioPGkUktq3b6/0v6WlJcaOHQsDA4MP0igiIiKi8laizkSpqalITk4GAPy///f/kJub+0EaRURERFTeShSSDhw4gAEDBgBQ7qe0f/9+jBw5EgcPHizd1hERERGVkxKFpK1bt6Jdu3ZK844fP47evXvj/v37+Ne//oUjR46UagOJiIiIyoPGIenmzZs4fvw4/t//+38AIN6zbfny5Vi4cCHCw8Mxf/58LF269IM0lIiIiKgsFRuSYmJikJqaiu+++w5BQUGwsLBQKr927Rr69u0LAOjbty8uXrz4YVpKREREVIaKDUkNGjSAra0tatSogZ9++kmpTBAEpKSkoFq1agCAatWqiR27iYiIiD5lxYak6OhoDB8+HKdPn8a1a9eUymQyGfT09MTxkjIyMqCnp/dhWkpERERUhooNSQ4ODli0aBEmTZqEfv36qVz2X69ePURGRgIAzp07BwcHhw/TUiIiIqIypHHH7UmTJqFSpUrYsGGD0vxevXphzJgxWLduHcaNG4c+ffqUeiOJiIiIyprGIUlLSwsjR47EX3/9BeB/4yT5+/ujefPmGD9+PJo3b67Sb4mIiIjoU1SiO9N2794dOTk5yivQ0UFoaGipNoqIiIiovJVoMElLS0uMHDkSAODt7Q0dnRJlLCIiIqJPRolCUmF79+6Frq5uabaFiIiI6KNR4pCUnZ2NHj16AFC+f1tcXByePXtWag0jIiIiKk8ah6SwsDAAwI0bN5Cenq5UFhkZifr168PBwQHXr18v3RYSERERlQONOxX5+fnhxYsXyM/Px5dffgngf/dvW7RoEebMmYOcnBwsXboU69at+zCtJSIiIiojxYYkbW1tZGZmonLlylixYgX09PSwZcsWpTp///03fv/9d2RlZeHrr7/+YI0lIiIiKisanW4TBAGCICAoKAh5eXnIzc2Fj4+PWP7q1StYWFjAxsYGz58//2CNJSIiIiorGvdJUigU8PX1RXZ2NvLz89G4cWPJeoU7cxMRERF9qooNSYVDj46ODrp3745bt27hl19+EecbGhoiNTUVcrkc5ubmH6alRERERGWo2JA0e/ZspfGQvLy8cPjwYaU6LVu2xM6dO7Fnzx64uLiUfiuJiIiIylixHbenTZsG4H9HlFq1aoWAgACleaNHj4a3tze0tLRw4sSJD9VWIiIiojKj8RAADx48AABYWFjA0dERwP+GAPDy8sLff/8NHR0dODk5fYBmEhEREZUtjUOSjY2N+PfWrVsBKPdXatmyZSk2i4iIiKh8vdO92zp06ICMjAy8ePGitNtDRERE9FF4p5B08uRJ5Ofn80o2IiIiqrCKPd32008/qcwTBAGTJ0+Gnp6e5DKLFy9+/5YRERERlaNiQ1JycrLKvO+++w4ZGRnIyMj4II0iIiIiKm/FhqT169cXWf7q1Stcu3YNbdu2LbVGEREREZU3ja9uU2fw4MF49OgRLl68WBrtISIiIvooaNRxOzY2FhkZGTAzM0Pv3r1x/vx55Ofn4/vvv8fFixexe/fuD9xMIiIiorKl0ZGk+vXr4/nz53j9+jVq1KiBTp06wdTUFLa2tvj7779hZWX1odtJREREVKZKNARAfn4+li5diujoaNSpUweCIMDQ0PBDtY2IiIio3JR4nCSFQgFra2scPXoU9evXR8eOHZGWlvYh2kZERERUbjQKSW5ubtDR0RHv1Qa8uW/b2rVrYWxsjHHjxn2wBhIRERGVB41C0unTp1GlShUYGxuLQenUqVPQ0dHB+vXrsWXLFpw6deqDNpSIiIioLGl8uk1LSwvPnj1DXl4eAKB9+/bIycmBra0ttm/fjjZt2nywRhIRERGVtRL1STp06BD69u0L4M2tSQpYWlpi2bJluHbtWum2joiIiKiclCgk7dq1C40aNVKad/nyZbi6umLt2rVo06YNB5UkIiKiCkHjkBQXF4fdu3dj6NChACD2TVq0aBEmT56Mu3fvIiAgAPPnz3+nhsyfPx8ymQwREREAgKysLIwYMQLVq1eHlZUVfH19kZiYKNZXKBQIDAxEjRo1YGlpiS5duuDRo0dK61y+fDlq164NS0tLuLu74+rVq0rlW7ZsgaOjI6ysrNC8eXMcP378ndpOREREFU+xISk7Oxu5ubkYMmQIfvzxR9SsWVOp/Pz58xgyZAgAYMiQITh37lyJG3Hr1i2EhobC1tZWnDdmzBjcvn0bd+/eRVxcHACgf//+Yvn8+fOxc+dOXLx4EQkJCWjUqBG8vb3FPlNhYWGYO3cuwsPD8fz5c/Tp0wdeXl5ITU0FAJw5cwZDhgxBSEgI5HI5ZsyYAR8fH8TGxpa4/URERFTxFBuSKleuDAcHBygUCgQHByuVCYKAxMREMdzY2trixYsXJWpAXl4eBg0ahBUrVkBH580A4KmpqVi/fj3mzZsHY2Nj6OnpYdGiRTh8+DDu3LkDQRCwbNkyBAYGwtraGtra2ggODkZcXByOHDkCAFiyZAn8/f3h4OAA4E3oMjY2xqZNmwC8OcrUv39/scN5r1694Orqit9//71E7SciIqKKqdiQdPDgQbRs2RL37t3D06dPVcp1dXWRnZ0NAMjJyRGDjqbmzJmD1q1bw9PTU5x36dIlCIKA1q1bi/Nq1KiBmjVrIioqCg8fPoRcLoe7u7tYbmBgAGdnZ0RFRSEnJwdXrlxRKgfejPcUFRUFAIiKilIpd3d3F8uJiIjo81ZsSOrUqRO2b9+OXr16oV+/fkplMpkM9vb2uHLlCoA3nbjr1Kmj8cYvX76M0NBQlX5Mcrkc5ubmKoHLysoKcrkccrlc/F+qPDExEXl5eWrLC7ZRVLmU7OxsvHr1SmkiIiKiiknjjtvz58/HP//8g23btinN79q1KwICAnD8+HFMnjwZ3bt312h9OTk5GDRoEFavXg0jIyOlMoVCoTS6t9hYLS0oFAooFAoAUKmjabm6bRQulzJv3jyYmJiIk52dnUaPlYiIiD49GockfX19jBkzBn/++SeA/42TNHHiRCgUCnTs2BEKhQKTJ0/WaH2zZs2Cq6srvvrqK5Uyc3NzpKSkKI3FBABJSUmwsLCAubm5+L9UuZmZGWQymdrygm0UVS5lypQpSE1NFaf4+HiNHisRERF9eko0TlLPnj3RokULpXmGhoY4c+YMkpOTcebMGVSpUkWjdZ0/fx5hYWGoWrWqOMXFxeGbb77BuHHjkJOTg1u3bon1k5KS8ODBAzg7O6NevXowMTHBpUuXxPK8vDxcuXIFzs7OMDAwQKNGjZTKC7bp7OwMAHBxcSmyXIqenh6MjY2VJiIiIqqYShSSatasiXnz5gEAGjduDC2t/y1uYmJSog0fPnwYr169QkpKijjVrFkT+/btw507d9C7d2+MGzcOqampyMzMhL+/P1xcXODi4gIdHR0MGzYM06ZNQ0JCAnJzcxEYGAhDQ0N4e3sDAEaOHIn58+fj7t27UCgUWLVqFR4+fAg/Pz+xfO3atYiMjIQgCNi1axfCw8PFcaCIiIjo81ayS9EKuXHjRmm2Q8WaNWswatQo1KlTBwqFAu3bt8fu3bvF8uDgYGRlZcHJyQm5ublwdnZGeHg4DAwMAAAjRozAy5cv0aFDB6Snp6NBgwYIDw+HtbU1AKBLly5YsGABBgwYgMTERNjZ2WHbtm1o1qzZB31cRERE9Gl455D0IRQeMdvY2Bh//fWX2rq6urpYtmwZli1bprbO9OnTMX36dLXlQ4cO5ZEjIiIiklSi021EREREnwuGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIAkMSERERkQSGJCIiIiIJDElEREREEhiSiIiIiCQwJBERERFJYEgiIiIiksCQRERERCSBIYmIiIhIQrmGpPPnz6Nr166wtLRE9erV0aFDB1y9ehUAoFAoEBgYiBo1asDS0hJdunTBo0ePlJZfvnw5ateuDUtLS7i7u4vLFtiyZQscHR1hZWWF5s2b4/jx40rlx48fR/PmzWFlZYUGDRpgy5YtH/DREhER0aekXEPSpEmTMGLECCQkJODp06f44osv0L17dwDA/PnzsXPnTly8eBEJCQlo1KgRvL29kZeXBwAICwvD3LlzER4ejufPn6NPnz7w8vJCamoqAODMmTMYMmQIQkJCIJfLMWPGDPj4+CA2NhYAEBsbCx8fHwQFBUEulyMkJARDhgzB2bNny+fJICIioo9KuYako0ePwsfHB9ra2tDS0sK3336LuLg4yOVyLFu2DIGBgbC2toa2tjaCg4MRFxeHI0eOAACWLFkCf39/ODg4AADGjBkDY2NjbNq0CcCbo0z9+/dHmzZtAAC9evWCq6srfv/9dwDA6tWr4e7ujp49ewIAXF1d4evri+XLl5f100BEREQfoXINSTo6Okr/R0ZGwsrKCmlpaZDL5XB3dxfLDAwM4OzsjKioKOTk5ODKlStK5QDg5uaGqKgoAEBUVJRKubu7u8blRERE9HnTKb5K2bh//z4mTJiAFStW4Pnz5wAAKysrpTpWVlaQy+VITExEXl6eZPn169cBAHK5XO3ympRLyc7ORnZ2tvj/q1evSvgoiYiI6FPxUVzdlpycjG7duuH777+Hn58fFAoFAEAmkynV09LSgkKhKLYceNPx+33KpcybNw8mJibiZGdn9w6PloiIiD4F5R6S0tLS0KVLF7Rs2RK//vorAMDc3BwAkJSUpFQ3KSkJFhYWMDMzg0wmU1tesI73KZcyZcoUpKamilN8fPw7PGIiIiL6FJRrSMrMzMQ333wDGxsbrF+/XjyyU69ePZiYmODSpUti3by8PFy5cgXOzs4wMDBAo0aNlMqBN0MKODs7AwBcXFzeq1yKnp4ejI2NlSYiIiKqmMotJOXk5KBnz57Q09PD5s2blTpx6+joYNiwYZg2bRoSEhKQm5uLwMBAGBoawtvbGwAwcuRIzJ8/H3fv3oVCocCqVavw8OFD+Pn5ieVr165FZGQkBEHArl27EB4ejqFDhwIAhg0bhgMHDmDPnj0QBAFnz57FunXr8OOPP5b9k0FEREQfnXLruB0ZGYnw8HCYmZmhZs2aSmWhoaEIDg5GVlYWnJyckJubC2dnZ4SHh8PAwAAAMGLECLx8+RIdOnRAeno6GjRogPDwcFhbWwMAunTpggULFmDAgAFITEyEnZ0dtm3bhmbNmgEAmjZtirCwMEyZMgUDBw6EhYUFli5diq5du5btE0FEREQfpXILSR4eHhAEocg6y5Ytw7Jly9SWT58+HdOnT1dbPnToUPHIkZTu3buLg1cSERERFVbuHbeJiIiIPkYMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgmffUjKysrCiBEjUL16dVhZWcHX1xeJiYnl3SwiIiIqZ599SBozZgxu376Nu3fvIi4uDgDQv3//cm4VERERlTed8m5AeUpNTcX69esREREBY2NjAMCiRYtgZ2eHO3fuoGHDhuXcQiIiIiovn/WRpEuXLkEQBLRu3VqcV6NGDdSsWRNRUVHl2DIiIiIqb5/1kSS5XA5zc3Po6Cg/DVZWVpDL5Sr1s7OzkZ2dLf6fmpoKAHj16lWx28rPznzP1n6+NHl+S+J1Vn6pru9zUtr7Ii8zr1TX97kpzf2Rnsd98T5K+72RmZ1Rquv7nGiyLwrqCIJQZL3POiQpFArIZDKV+VpaWlAoFCrz582bh59//lllvp2d3QdpH71hsmJ4eTeBCswzKe8WUCEmAdwfHw0T7ouPxaRVmtd9/fo1TIrYd591SDI3N0dKSgoEQVAKS0lJSbCwsFCpP2XKFPz000/i/wqFAklJSTA3N5cMW5+KV69ewc7ODvHx8WLfLCof3BcfD+6Ljwf3xcejouwLQRDw+vVr2NjYFFnvsw5JLVq0QE5ODm7duoUmTZoAeBOQHjx4AGdnZ5X6enp60NPTU5pXtWrVsmhqmTA2Nv6kX/QVCffFx4P74uPBffHxqAj7oqgjSAU+647bVlZW6N27N8aNG4fU1FRkZmbC398fLi4ucHFxKe/mERERUTn6rEMSAKxZswbVq1dHnTp1YGNjg4yMDOzevbu8m0VERETl7LM+3Qa8OWT4119/lXczypWenh6CgoJUTiVS2eO++HhwX3w8uC8+Hp/bvpAJxV3/RkRERPQZ+uxPtxERERFJYUgiIiIiksCQ9JkpfHZVJpPh6tWrGi03duxYDBo06MM0qhwVfj6qVq2KiIgIlTpOTk5YvXq1yvySPH+FLVmyBPXr1y/xcgU8PT2xdOnSd16+QFBQEHR0dMTp5MmTYtnu3bthb2//3tsoKwEBAUqPRUdHB23atNFo2d69e2PmzJkAgObNmyMkJEQsu3v3Lnx8fGBqago7OzuMGzcO6enpYvmgQYMwduzYUnwkn6ejR49CW1tbZX5ISAiaN29e9g36TGnyei78mRkREVHiYXDs7e01vjgqJSUFMpkMjx490rhNjx49gkwmQ0pKSonapQ5DUgVWr149pS8NbW1tmJqaStb19PREcHBwGbewbFlbW0s+H8V1y5PL5bCystJ4O1lZWXBzc5MMUHl5efjrr79Qu3ZtyWVDQkIgk8kkJ09PT7XbPHPmjNrlZDIZtLRU3+o///wz8vLyxMnd3V1ypHmFQgFPT0+cPXtW4+egrBw5cgSrV69G7dq1sXLlSqVp0KBBWL16NdavXw/gzWu88HPSo0ePItedlpaGTp06wcHBAdHR0QgPD0dUVBTGjBlT5HIdO3Yscl9Ijdr/uUtOToaZmVmx9RYtWlTkczt58uQyaO2HVa9evSIf44YNG8S6oaGhRdYdNWqUWPeff/6RrPPNN98U2Za3PzN1dHSQp+YWNuo+v44ePSpZPyoqSrJ+Ue/Nr776SqVNWlpaePjwYTHP7LthSKrArl+/jpSUFKSkpOD169cYM2YM2rdvX97NKjcPHjwQn4+0tDR07doVgwcPLnK09IsXL0Iul+PmzZsab2f8+PHw8PBQ+QX8+vVr+Pn5ITs7G7GxsRg7diwyMpTvz/Tdd9/h8ePH+Pbbb5Gbm4vc3FwcPnwYwcHBOHbsmNpturu7IzMzU3I6ffo0DA0Nlep37txZ5YNJV1cX0dHRKuvW0tLCb7/9hn79+pX6/aneV3p6urhP1U0F91gE3txaqOB52bZtW5HrPnv2LHJycrBo0SJYWVmhUaNGWLx4Mf766y/k5uaqXe7gwYNq94WXlxeMjIxK7fFXFNHR0ahZs6b4f2pqKlJSUlTeH+PHjxffF29Pffr0KetmfxC3b99W+/pxdHRUev307dsXycnJklO/fv0k13///n2l5+2///2v2rbcunULaWlpSEtLQ0ZGBlavXo26deuq3O+0MCcnJwiCoDR17NgRp0+fxtGjR5GVlaWyzNuPs6j35sGDB5XadPDgQVSuXPmD3R7ssx8CoCKrXLmy+Pc///yDkJAQ7Nq1S6lOixYtALwZebRjx45Frm///v1o06YNvL29MX369NJv8AdWOCisXbsWJ0+eRFhYmFKdghB54sQJuLq6YuzYsfjqq6+wdOlStGnTBl9//XWR27h16xZCQ0MRGxsrzktISMCePXswZ84cNGrUCCdPnoQgCPjhhx9Qr149DBs2DN7e3mjZsiVkMhmysrKwceNGbNiwATKZDHfv3kVERASmTZumdrsymQz6+vqSZWlpabC0tFSat2PHDvGLXktLCz/++CNevnyJ+vXrIyUlRemUEgA0bNgQ7u7umDdvHubNm1fkc1CWevTogSdPnmDq1KmIioqClpYWZDIZcnJyULt2bUyfPh0eHh5ifR0dHbXP09sEQRDXV0AmkxV75FFXVxe6urqSZSkpKSr7goBt27bh5s2bOH/+PFq3bg1bW1vxNejk5CTW+/XXXzF58mS1QXPcuHFl0t4PqVKlSmrLkpOTlV4/urq6ak93qVtPwdEgTbx9mX94eHixn4E3btxQ2T+JiYn47bffkJSUpPSjpUBx78nk5GQYGRnBzMxM5XEdPnwYnp6eGj+mkuKRpM/A48eP0aVLFwwYMEDpCwMATp06heTkZDRt2lScl5eXh6SkJDx69AinTp3C8ePHAQAdOnTA7t274e/vX6btL00KhQILFy5EUFAQ6tSpg0mTJiE/P18s37t3L5KTk+Hi4oK+ffvi2bNnCAsLw4YNG9C9e3esWLFCqf7bfvvtN/To0QPm5ubivEGDBmHXrl1YuXIlwsPDceXKFezevRt79uzB9u3bER8fj2XLlolfxgVfsAUhJi8vT6W/RmZmpuQvbSlPnjxR6V9kaGiIqlWromrVqlizZg0OHTqEkJAQbNmyBaampvDz81NZz7Bhw/DHH38UeRSlPCxcuBAxMTG4ceMGoqOjcefOHTx48ADNmjVTutdiUfLy8pCVlaUUgNzc3CCTyTB9+nSkpqYiNjYWkydPxoABA9SGoOJI7YvP3c6dOxETE4ORI0di4MCBePXqFdLS0iAIgniqtLAvv/xS7VHDoKCgcngEZSMnJwfPnz9Xev1s3rwZMplMpT+ejo4OQkNDJft5vau4uDj897//xZAhQ4qs17RpU/FIT8Gkp6eHZcuW4dChQyXqulDA2dkZ1apVQ1xcnNL89PR0hISEFNum98GQVIHJ5XLMmTMHjRs3hpubG5YtW6ZSp0qVKqhatSq0tbUxffp08bSLtbU1PD09MWvWLPFcr4GBAaytrTW6383HKCIiAm3btsWWLVtw5swZnDhxAleuXIGbmxtu374NADAyMkJ2djaaNm2KlJQUnDp1CtWqVcM333yDPXv2YMmSJdi/f7/abezZswedOnVSmhceHo7w8HB0794dAHDu3Dls3boVwJsv4rVr12Ljxo1i/bdDUn5+vsqvpKlTp8LU1BQ//vhjsY87JiYGdevWVZmfnJyMwYMHY9GiRcjPz8fPP/8Mb29vCIKgcsQReHNKLycnB6dOnSp2m2Xpp59+gq2tLRo2bIiGDRuicePGqFOnDi5cuIBff/1Vo3XMmTMHBgYGuH79ujjP2NgYhw4dQmRkJGxtbdGmTRs0bNgQK1aseKd2pqen49mzZ5L74nMVGxuLoUOHIjAwEEuWLIGNjQ06duyIf/75R7K+jo4OoqKioK+vLzkVPupU0Tx48ACVKlWCra2t0vwGDRoo9S0sPEl95r+ryZMno0GDBpL3NS3s/v378PT0hIeHB1q1aoVGjRqhevXq6NmzZ7HbyMrKQmJiImJjY3HmzBmkpaUBAB4+fAhBEFR+YMyZMwcKhQLdunV758dVHJ5uq6D++9//olevXnBycsL27dvRuXPnIusfPHhQPEKiq6urcpj1U7+CZ9OmTRg7diwmTZqEMWPGiEHk1KlTWLhwoVKHdisrK6xbtw4eHh5KHZ6//vprxMTEiL/O5s2bp3QH6YyMDDx58kTpyjUnJyeVU1dJSUnIyspCvXr1VNp58uRJySNJb4ekJUuWYOzYsUhLSyuyT1Vha9asgYeHB7Zt24ZFixZh/fr16Nq1K27fvo3Xr19j2LBhsLe3x44dOySX19XVhb29PaKjo/HVV19ptM2yUKtWLWzfvh0AsHz5cvz5559Kpzs1ERQUhJkzZ6r0I2vSpInaTqcA0KVLFxgYGAAAJkyYoFEoK/iSO3HiRJGd8Su6iIgI9O7dG506dcKUKVOgpaWFvXv3YsiQIXBxccHdu3fFuvn5+cjNzcXw4cMxfPjwIteblZUFbW3tdz7aV1569+6t9r1XWMHnT+GOyuo6UstkslI5mvTnn3/i0KFD0NbWxvr16/H9999L1uvWrZv4HtLR0UHlypVhbGwMCwsLsc7QoUNVru4t+AzT0tJC1apVYWdnB0dHR8yePVttm8LDw7Fs2TJUq1YNs2fP/mAXRDAkVVDffPMNrly5onQaDXjTz6LgBRkQECAe+jQwMIAgCMjOzoYgCCqd6z71kNS/f3/07t1b5Xy2rq4upk6dCuDNZcgODg4A/tc3qVevXjh37pza9fr4+Ih9BAp+9RTu+3Tw4EHJK8bUsba2Fs/ZFw5J+fn5uH//PrKzs5XqGxkZSZ7+GjJkCPT19bFq1Sql+TKZDPn5+TAzM8O5c+fEoGZqaoqDBw/i0qVLaNasGQ4fPix5h28jI6OPpvN2x44dVTqap6enIz09HTVq1FCp/+LFiyKv5FEnIyNDsl8X8OZXfMGX0IIFC/DLL78olT9+/Bj16tXDkydPVE4zlOapkE+RtrY2Jk2ahAkTJog/RgwNDbF582bcunVL6X20ZMkSTJw4UeN1f/fdd0pDOXwKtm7dqvJZcfLkSXh7e4ufLYUVHFW7e/eu2kCora2tNkBlZWUhOTkZiYmJuHfvnuR7BngT5v39/bF3715kZGTA19cXDg4OcHd3V6lrZmYGMzMzDBo0SOkqvLc1atQIjRs3xhdffIHMzEwAbz6b3v5xru4y/lu3bqFv375YvXo1GjduDHd3dzRr1gz/+te/1G7zXTEkVVBaWlpo2rQp8vPzsXjxYoSGhiI6Ohq5ubmoVq0aPD09ERQUhOrVq4vLPH78WO2l6cCn+cFTWKVKlTBz5swif3G8/et+586dauvq6OgoBZRq1aqhUqVKkMvlaNy4MQCIR5oSExOxaNEiHD58GE+fPkV+fj4sLS3Rtm1bTJw4UTwFM3z4cPz+++8AIH4py2QyGBgYwNvbG0OHDpVsx9sKrliTKtPW1kZAQAAA4OrVq5gzZw5Onz6N58+fw8TEBLVr10avXr1w4cIFlWUTEhKUrkIqT2vWrFEJjUUZOHAg8vLy8PLlS8jlcjx48KDI/mUFtm7diqVLl0oO6bBy5UoYGRlh6dKl0NLSUhlqoSAIlaSz7Oeibdu2aNu2rWRZwfunwIQJEzBhwoSyaFa5Ker1o+614+vrC19fXwBvfkzp6uri9OnT+PLLL9Vup/BnfMHpuwYNGkiG0F27dmHgwIFYsWIFOnToAODNFYZff/01tm7dqrYD/Zo1ayTHlgOU921RF5yoc+bMGfTq1Qtjx47Ft99+C+DN+9DX1xerVq1S6e7wvtgnqYKbMGECVqxYgeDgYCQkJCAjIwMnT56EkZER3N3d8fz5c5Vlnjx5gtevXytNmvR9+VR07dpV8pJZqSMnb4+tU3h6+wtWJpPB1dUVkZGRSvOzs7Ph5uaGmzdv4rfffsOjR4+QkJCAHTt2QEdHBy4uLoiPjwfw5s1e+FLYrKwsKBQKpKen4+7duxg/fnypPQ/379+Hu7s7atWqhVOnTiEzMxMPHjzAvHnzEBYWhoEDByrVf/r0KeLi4or8AC5LtWvXhqOjI3R0dLBo0SL4+PiIX7zt27fH6NGjce3aNTg6OsLR0RGVK1fGlClTYGNjg6+//hqLFy/WeMC5a9euSb4G/vzzzw/7ID8T9vb2kuNwde3aVemHWVZWFubOnYvWrVvDxMQEurq6MDIygpOTEyZNmoSkpKQybPWnxcrKSvysK7iCtWA4koMHD4ohqMDOnTvx/fffIyQkBIMHDxbn//zzz5g2bZp4mrk0rFy5EgsXLlSZb2hoiI0bN6JatWoAgAsXLsDLywszZswQB4AF3hw5/+OPP5Su6C4tDEkV3JEjR+Dv7w8fHx+YmZlBX18fjo6OWL16NdLS0nD+/HmVZQwNDWFkZKQ0fWrn94tScNns25O6vj1LlixRO27J2x1F+/fvr3L0KTo6Gvfu3cPChQvRunVr6OvrQ0dHB46OjlixYgWysrJw+vRpAP+7RL1g+pB32o6IiICZmRkWLVoEBwcH6OnpwczMTPwQOnDggFL9nTt3wtXVFbVq1fpgbSqpnJwcuLu7w8jICGfPnsWLFy/w4sULPH78GBMmTMDQoUPFMVciIiIgCAJycnLw7NkzREREqO1b8TapsV8EQfigV9V8Tl6+fCl52tjS0lKpn9jEiROxYcMGLFiwAM+ePUNubi4SExOxbt06nD9/Xu3YQBXNvn37JMc5A94coXu7bObMmZDJZOJnnYmJSbGBomfPnrh7967kKaxp06YV2S/xhx9+gIGBgeQk1V8wOjoat27dUpmvq6sLPz8/8dRrq1at8ODBA6VBMgt8//33klflvi8e/63gvLy8sGLFCtSvXx9t2rSBgYEB4uLisGTJEhgaGqJVq1Yqy0iNY1GS0xofu9zcXMkjCMWNfyNFoVAo9S0ZNGgQFixYgGPHjokfIg0bNkSDBg3w008/YebMmWjWrBl0dHQQExOD5cuXQ19fX2VohrLg4eGBxMRETJkyBYMHD4atrS0yMzNx+fJlzJ07V2k8lPz8fCxduhRr1qwp83YWR0tLSxwYr4BCoUBOTo441tH7ys/Pl3zN5OTkvPe66Y3MzEzJvjfAmx9uMpkMlSpVEvdn4bAKQCz/HHTt2lXsy6OJdznVK5PJ3uly/QJjx45VO6aaVHvy8vLU7v+CH5bAm36bZYlHkiq4BQsWYOzYsfj5559Rp04dmJmZoVOnTsjMzMS5c+ck3wT29vYwNTVVmtSdX/4UHThwQOXxmZqaqu2QPG7cOLW/it4+RFypUiWsWbMGkyZNEr+0K1WqhDNnzqBhw4YYNGgQLCwsUKVKFXh7eyMrKwvnz59Xuay3LNSvXx+nT59GTEwM2rVrBxMTEzg4OGDSpEno1asX/vOf/4h1Fy9eDE9PT5VD8uWtUqVKiIyMhEwmQ+fOnVGjRg3Y2dmhYcOG+OOPP/DXX3+VSmfOmzdvSr5mCg/dQO+na9euqFKliuQkl8sBAL/88gtGjBiBoKAgODg4oGrVqqhVqxZ+/PFHtG/fHps2bSrnR1E2tLS01A6DIDWVR3+4pUuXqv3clDoS9J///Eft/l+7dm2Zt7+ATHiXn89EVKTdu3fDwcEBjRo1Ku+mvDeFQoFly5bhxx9//KCn/4iIPjYMSUREREQSeLqNiIiISAJDEhEREZEEhiQiIiIiCQxJRERERBIYkojos5KXl4epU6fCzMwMVlZW+O2335TKd+/erXK38aLIZDLJW5YQ0aePIYmIPisBAQE4cOAAjhw5guPHj2Pz5s3YtWuXZN1Ro0ZJ3o4kIiKibBtNROWCQwAQ0WcjNzcXRkZGOH36NFq3bg3gzb0K7ezslOrVqlULjx49wqhRo/D69Wule7TZ29sjISFBvI1Nfn4+rly5onT7DCKqGHgkiYg+G0+ePEFOTg6aNm0qzqtRowZMTU0RFRUFQRCwd+9epWVkMhl0dHTECQCOHTuGvLw85OXlKd2WhogqFt67jYg+G7a2ttDV1cWdO3fg7OwMAHj69CmSk5Nx/fp15Obm4vbt28WuZ/v27WI/JB6MJ6q4GJKI6LNRqVIljBw5EsOGDcPatWvF/2vVqoUdO3YAAJ4/f660TH5+PrKyspTmnT9/Hvfv3wfw5rYtRFQxMSQR0WdlwYIFmD59Otq3b4/c3Fx06dIFYWFh4s2ed+/ejbFjx4r1Q0NDERoaqrSO0NBQeHp6AoDYN4mIKh523CYiKuThw4c4ffo0Bg4cqLZOfn6+2BepY8eO+P3331G3bt2yaiIRlRF23Caiz8727dslL+2XyWSoU6cOZsyYoVQ/OTkZo0aNQr169WBgYAAdHR1YWVmhf//+WLVqFQMSUQXFkEREn51evXohMzNTctq6datSXUEQ4OXlhZiYGISFheHFixdIT0/H0aNHoaenB1dXV7x8+bKcHgkRfUg83UZEVEhBn6RHjx4BAORyOaytrSXHQsrKyoKhoSEOHDgALy+vsm8sEX1QPJJERFQES0tLuLq6Yty4cTh9+jQSExORkpKCK1eu4IcffoCpqSlcXFzKu5lE9AEwJBERFWJra4uuXbuK/8tkMhw4cAAtWrTA8OHDUadOHVhaWqJHjx7Q1tZGZGQkzM3Ny7HFRPSh8HQbERERkQQeSSIiIiKSwJBEREREJIEhiYiIiEgCQxIRERGRBIYkIiIiIgkMSUREREQSGJKIiIiIJDAkEREREUlgSCIiIiKSwJBEREREJIEhiYiIiEjC/wc9YUR+5neNQgAAAABJRU5ErkJggg==\n"},"metadata":{}}]},{"cell_type":"code","source":["df.groupby('역명').max('하차총승객수').sort_values('하차총승객수', ascending = False).head(5).reset_index()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"zvnuwxeCAi25","executionInfo":{"status":"ok","timestamp":1697435145716,"user_tz":-540,"elapsed":8,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"a0ebd77c-2244-4d6f-e0c6-d2c1686b13a6"},"execution_count":42,"outputs":[{"output_type":"execute_result","data":{"text/plain":["         역명      사용일자  승차총승객수  하차총승객수      등록일자   total\n","0      홍대입구  20230930   83054   96089  20231003  178899\n","1        강남  20230930   93236   91978  20231003  185214\n","2  잠실(송파구청)  20230930   87055   87863  20231003  174918\n","3     고속터미널  20230930   60872   76527  20231003  127128\n","4        역삼  20230930   62596   69339  20231003  131372"],"text/html":["\n","  <div id=\"df-63095c60-9f50-4ba4-8162-1e1582edc21e\" 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>역명</th>\n","      <th>사용일자</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>홍대입구</td>\n","      <td>20230930</td>\n","      <td>83054</td>\n","      <td>96089</td>\n","      <td>20231003</td>\n","      <td>178899</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>강남</td>\n","      <td>20230930</td>\n","      <td>93236</td>\n","      <td>91978</td>\n","      <td>20231003</td>\n","      <td>185214</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>잠실(송파구청)</td>\n","      <td>20230930</td>\n","      <td>87055</td>\n","      <td>87863</td>\n","      <td>20231003</td>\n","      <td>174918</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>고속터미널</td>\n","      <td>20230930</td>\n","      <td>60872</td>\n","      <td>76527</td>\n","      <td>20231003</td>\n","      <td>127128</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>역삼</td>\n","      <td>20230930</td>\n","      <td>62596</td>\n","      <td>69339</td>\n","      <td>20231003</td>\n","      <td>131372</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-63095c60-9f50-4ba4-8162-1e1582edc21e')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-63095c60-9f50-4ba4-8162-1e1582edc21e 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-63095c60-9f50-4ba4-8162-1e1582edc21e');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-78068136-9468-4284-827b-db3a1376fa8c\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-78068136-9468-4284-827b-db3a1376fa8c')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-78068136-9468-4284-827b-db3a1376fa8c button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":42}]},{"cell_type":"code","source":["rideon_df = df.groupby('역명').max('하차총승객수').sort_values('하차총승객수', ascending = False).head(5).reset_index()\n","sns.barplot(rideon_df, x = '역명', y = '하차총승객수').set(title = '서울 지하철 전체 노선 23년 9월 하루 하차 최대인원 역 top5')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":489},"id":"1kqj0oylBMtV","executionInfo":{"status":"ok","timestamp":1697438635557,"user_tz":-540,"elapsed":562,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"e56757f7-dba7-44e0-94ef-6a5ca4d1f433"},"execution_count":79,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[Text(0.5, 1.0, '서울 지하철 전체 노선 23년 9월 하루 하차 최대인원 역 top5')]"]},"metadata":{},"execution_count":79},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"TFBHKMyLCeCF"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["### 한 역에 여러 노선 통합한 결과 확인해볼 것"],"metadata":{"id":"5r98pYxsiJyh"}},{"cell_type":"code","source":["df[df['역명'] == '홍대입구']"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"Fwzasm1ySv-j","executionInfo":{"status":"ok","timestamp":1697442313559,"user_tz":-540,"elapsed":365,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"dee07293-ec77-4464-b4b1-a7c6ab8a23b4"},"execution_count":86,"outputs":[{"output_type":"execute_result","data":{"text/plain":["           사용일자       노선명    역명  승차총승객수  하차총승객수      등록일자   total  요일\n","134    20230901       경의선  홍대입구    2331    2971  20230904    5302   4\n","197    20230901  공항철도 1호선  홍대입구   14656   15425  20230904   30081   4\n","547    20230901       2호선  홍대입구   71723   81971  20230904  153694   4\n","678    20230902       2호선  홍대입구   79471   92453  20230905  171924   5\n","1025   20230902       경의선  홍대입구    2540    3248  20230905    5788   5\n","...         ...       ...   ...     ...     ...       ...     ...  ..\n","17477  20230929       경의선  홍대입구    1068    1646  20231002    2714   4\n","17540  20230929  공항철도 1호선  홍대입구    8097    8399  20231002   16496   4\n","17744  20230930       2호선  홍대입구   52989   62358  20231003  115347   5\n","18092  20230930       경의선  홍대입구    1743    2457  20231003    4200   5\n","18155  20230930  공항철도 1호선  홍대입구   11683   12149  20231003   23832   5\n","\n","[90 rows x 8 columns]"],"text/html":["\n","  <div id=\"df-57bdf649-96c8-4ac6-a648-90f8a5df6b62\" 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>사용일자</th>\n","      <th>노선명</th>\n","      <th>역명</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","      <th>요일</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>134</th>\n","      <td>20230901</td>\n","      <td>경의선</td>\n","      <td>홍대입구</td>\n","      <td>2331</td>\n","      <td>2971</td>\n","      <td>20230904</td>\n","      <td>5302</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>197</th>\n","      <td>20230901</td>\n","      <td>공항철도 1호선</td>\n","      <td>홍대입구</td>\n","      <td>14656</td>\n","      <td>15425</td>\n","      <td>20230904</td>\n","      <td>30081</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>547</th>\n","      <td>20230901</td>\n","      <td>2호선</td>\n","      <td>홍대입구</td>\n","      <td>71723</td>\n","      <td>81971</td>\n","      <td>20230904</td>\n","      <td>153694</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>678</th>\n","      <td>20230902</td>\n","      <td>2호선</td>\n","      <td>홍대입구</td>\n","      <td>79471</td>\n","      <td>92453</td>\n","      <td>20230905</td>\n","      <td>171924</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>1025</th>\n","      <td>20230902</td>\n","      <td>경의선</td>\n","      <td>홍대입구</td>\n","      <td>2540</td>\n","      <td>3248</td>\n","      <td>20230905</td>\n","      <td>5788</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>17477</th>\n","      <td>20230929</td>\n","      <td>경의선</td>\n","      <td>홍대입구</td>\n","      <td>1068</td>\n","      <td>1646</td>\n","      <td>20231002</td>\n","      <td>2714</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>17540</th>\n","      <td>20230929</td>\n","      <td>공항철도 1호선</td>\n","      <td>홍대입구</td>\n","      <td>8097</td>\n","      <td>8399</td>\n","      <td>20231002</td>\n","      <td>16496</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>17744</th>\n","      <td>20230930</td>\n","      <td>2호선</td>\n","      <td>홍대입구</td>\n","      <td>52989</td>\n","      <td>62358</td>\n","      <td>20231003</td>\n","      <td>115347</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>18092</th>\n","      <td>20230930</td>\n","      <td>경의선</td>\n","      <td>홍대입구</td>\n","      <td>1743</td>\n","      <td>2457</td>\n","      <td>20231003</td>\n","      <td>4200</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>18155</th>\n","      <td>20230930</td>\n","      <td>공항철도 1호선</td>\n","      <td>홍대입구</td>\n","      <td>11683</td>\n","      <td>12149</td>\n","      <td>20231003</td>\n","      <td>23832</td>\n","      <td>5</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>90 rows × 8 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-57bdf649-96c8-4ac6-a648-90f8a5df6b62')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-57bdf649-96c8-4ac6-a648-90f8a5df6b62 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-57bdf649-96c8-4ac6-a648-90f8a5df6b62');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-83b961cc-6340-4c67-9cda-d311080a5d9a\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-83b961cc-6340-4c67-9cda-d311080a5d9a')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-83b961cc-6340-4c67-9cda-d311080a5d9a button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":86}]},{"cell_type":"markdown","source":["홍대입구는 3개 역으로 쪼개져 있음! 한 역에 노선이 여러 개 있는 경우는 하나로 합칠 수 없을까?"],"metadata":{"id":"39aqXrozhDNS"}},{"cell_type":"code","source":["station_line_group_df = df.groupby(['역명', '사용일자', '노선명']).max('total').reset_index()"],"metadata":{"id":"WXJ_7YCeeCDb","executionInfo":{"status":"ok","timestamp":1697443002780,"user_tz":-540,"elapsed":4,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":101,"outputs":[]},{"cell_type":"code","source":["station_line_group_df[station_line_group_df['역명'] == '가락시장'].head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"HqarmEuNeyyS","executionInfo":{"status":"ok","timestamp":1697443168629,"user_tz":-540,"elapsed":5,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"6f407d41-2b54-4215-c238-0a32723920ed"},"execution_count":108,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      역명      사용일자  노선명  승차총승객수  하차총승객수      등록일자  total  요일\n","60  가락시장  20230901  3호선   10532   10274  20230904  20806   4\n","61  가락시장  20230901  8호선    8858    9967  20230904  18825   4\n","62  가락시장  20230902  3호선    7453    7075  20230905  14528   5\n","63  가락시장  20230902  8호선    6426    6649  20230905  13075   5\n","64  가락시장  20230903  3호선    4351    4477  20230906   8828   6"],"text/html":["\n","  <div id=\"df-5cf068e8-88f0-431b-aaa7-931e6316a533\" 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>역명</th>\n","      <th>사용일자</th>\n","      <th>노선명</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","      <th>요일</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>60</th>\n","      <td>가락시장</td>\n","      <td>20230901</td>\n","      <td>3호선</td>\n","      <td>10532</td>\n","      <td>10274</td>\n","      <td>20230904</td>\n","      <td>20806</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>61</th>\n","      <td>가락시장</td>\n","      <td>20230901</td>\n","      <td>8호선</td>\n","      <td>8858</td>\n","      <td>9967</td>\n","      <td>20230904</td>\n","      <td>18825</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>62</th>\n","      <td>가락시장</td>\n","      <td>20230902</td>\n","      <td>3호선</td>\n","      <td>7453</td>\n","      <td>7075</td>\n","      <td>20230905</td>\n","      <td>14528</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>63</th>\n","      <td>가락시장</td>\n","      <td>20230902</td>\n","      <td>8호선</td>\n","      <td>6426</td>\n","      <td>6649</td>\n","      <td>20230905</td>\n","      <td>13075</td>\n","      <td>5</td>\n","    </tr>\n","    <tr>\n","      <th>64</th>\n","      <td>가락시장</td>\n","      <td>20230903</td>\n","      <td>3호선</td>\n","      <td>4351</td>\n","      <td>4477</td>\n","      <td>20230906</td>\n","      <td>8828</td>\n","      <td>6</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5cf068e8-88f0-431b-aaa7-931e6316a533')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-5cf068e8-88f0-431b-aaa7-931e6316a533 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-5cf068e8-88f0-431b-aaa7-931e6316a533');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-3ba6e720-fb4f-48bc-955d-efa487dbbd55\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3ba6e720-fb4f-48bc-955d-efa487dbbd55')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-3ba6e720-fb4f-48bc-955d-efa487dbbd55 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":108}]},{"cell_type":"code","source":["station_line_group_df2 = station_line_group_df.groupby(['역명', '사용일자']).sum('total').reset_index()"],"metadata":{"id":"pTBVj9PhesER","executionInfo":{"status":"ok","timestamp":1697443311070,"user_tz":-540,"elapsed":5,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}}},"execution_count":113,"outputs":[]},{"cell_type":"code","source":["station_line_group_df2[station_line_group_df2['역명'] == '가락시장'].head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"_vdltqAkgCyp","executionInfo":{"status":"ok","timestamp":1697443312494,"user_tz":-540,"elapsed":6,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"c8aec41a-c723-4b48-8b32-8f197029bea1"},"execution_count":114,"outputs":[{"output_type":"execute_result","data":{"text/plain":["      역명      사용일자  승차총승객수  하차총승객수      등록일자  total  요일\n","60  가락시장  20230901   19390   20241  40461808  39631   8\n","61  가락시장  20230902   13879   13724  40461810  27603  10\n","62  가락시장  20230903    7757    8720  40461812  16477  12\n","63  가락시장  20230904   18148   18839  40461814  36987   0\n","64  가락시장  20230905   19111   19607  40461816  38718   2"],"text/html":["\n","  <div id=\"df-a52b6cb8-9d6c-4c41-a469-6add66da5c17\" 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>역명</th>\n","      <th>사용일자</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","      <th>요일</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>60</th>\n","      <td>가락시장</td>\n","      <td>20230901</td>\n","      <td>19390</td>\n","      <td>20241</td>\n","      <td>40461808</td>\n","      <td>39631</td>\n","      <td>8</td>\n","    </tr>\n","    <tr>\n","      <th>61</th>\n","      <td>가락시장</td>\n","      <td>20230902</td>\n","      <td>13879</td>\n","      <td>13724</td>\n","      <td>40461810</td>\n","      <td>27603</td>\n","      <td>10</td>\n","    </tr>\n","    <tr>\n","      <th>62</th>\n","      <td>가락시장</td>\n","      <td>20230903</td>\n","      <td>7757</td>\n","      <td>8720</td>\n","      <td>40461812</td>\n","      <td>16477</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>63</th>\n","      <td>가락시장</td>\n","      <td>20230904</td>\n","      <td>18148</td>\n","      <td>18839</td>\n","      <td>40461814</td>\n","      <td>36987</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>64</th>\n","      <td>가락시장</td>\n","      <td>20230905</td>\n","      <td>19111</td>\n","      <td>19607</td>\n","      <td>40461816</td>\n","      <td>38718</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a52b6cb8-9d6c-4c41-a469-6add66da5c17')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-a52b6cb8-9d6c-4c41-a469-6add66da5c17 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-a52b6cb8-9d6c-4c41-a469-6add66da5c17');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-fd0e4bfe-a782-416f-b6f4-2fd75b96eda5\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-fd0e4bfe-a782-416f-b6f4-2fd75b96eda5')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-fd0e4bfe-a782-416f-b6f4-2fd75b96eda5 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":114}]},{"cell_type":"markdown","source":["이렇게 하면 날짜별로 하나의 역에서 여러 노선 통합된 인원 산출 가능함!"],"metadata":{"id":"w-284gBwhUax"}},{"cell_type":"code","source":[],"metadata":{"id":"mTD3PdBtf_qS"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["여기서 일단 정확한 날짜 구하는 건 포기하고 최대값 구하기"],"metadata":{"id":"YjaRZJvJiT8_"}},{"cell_type":"code","source":["station_line_group_df2.groupby('역명').max('total').sort_values('total', ascending = False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":455},"id":"OETK1bw6ccIb","executionInfo":{"status":"ok","timestamp":1697443419045,"user_tz":-540,"elapsed":372,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"05d089d1-2d26-4c9b-9ec8-1fb2d7a832b5"},"execution_count":115,"outputs":[{"output_type":"execute_result","data":{"text/plain":["              사용일자  승차총승객수  하차총승객수       등록일자   total  요일\n","역명                                                       \n","홍대입구      20230930  103340  117840   60693009  221180  18\n","서울역       20230930  109423  111325  101155015  219066  30\n","잠실(송파구청)  20230930  103689  108273   40462006  211962  12\n","고속터미널     20230930   98103  124815   60693009  209540  18\n","강남        20230930   93236   91978   20231003  185214   6\n","...            ...     ...     ...        ...     ...  ..\n","임진강       20230930     205     182   20231003     375   6\n","달월        20230930     120      86   20231003     187   6\n","지평        20230930      90     109   20231003     186   6\n","운천        20230930      18      11   20231003      29   6\n","굴포천       20230910       1       0   20230913       1   6\n","\n","[524 rows x 6 columns]"],"text/html":["\n","  <div id=\"df-3d7684f4-bfb2-43f6-8359-b205810ca15b\" 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>사용일자</th>\n","      <th>승차총승객수</th>\n","      <th>하차총승객수</th>\n","      <th>등록일자</th>\n","      <th>total</th>\n","      <th>요일</th>\n","    </tr>\n","    <tr>\n","      <th>역명</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>홍대입구</th>\n","      <td>20230930</td>\n","      <td>103340</td>\n","      <td>117840</td>\n","      <td>60693009</td>\n","      <td>221180</td>\n","      <td>18</td>\n","    </tr>\n","    <tr>\n","      <th>서울역</th>\n","      <td>20230930</td>\n","      <td>109423</td>\n","      <td>111325</td>\n","      <td>101155015</td>\n","      <td>219066</td>\n","      <td>30</td>\n","    </tr>\n","    <tr>\n","      <th>잠실(송파구청)</th>\n","      <td>20230930</td>\n","      <td>103689</td>\n","      <td>108273</td>\n","      <td>40462006</td>\n","      <td>211962</td>\n","      <td>12</td>\n","    </tr>\n","    <tr>\n","      <th>고속터미널</th>\n","      <td>20230930</td>\n","      <td>98103</td>\n","      <td>124815</td>\n","      <td>60693009</td>\n","      <td>209540</td>\n","      <td>18</td>\n","    </tr>\n","    <tr>\n","      <th>강남</th>\n","      <td>20230930</td>\n","      <td>93236</td>\n","      <td>91978</td>\n","      <td>20231003</td>\n","      <td>185214</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>임진강</th>\n","      <td>20230930</td>\n","      <td>205</td>\n","      <td>182</td>\n","      <td>20231003</td>\n","      <td>375</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>달월</th>\n","      <td>20230930</td>\n","      <td>120</td>\n","      <td>86</td>\n","      <td>20231003</td>\n","      <td>187</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>지평</th>\n","      <td>20230930</td>\n","      <td>90</td>\n","      <td>109</td>\n","      <td>20231003</td>\n","      <td>186</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>운천</th>\n","      <td>20230930</td>\n","      <td>18</td>\n","      <td>11</td>\n","      <td>20231003</td>\n","      <td>29</td>\n","      <td>6</td>\n","    </tr>\n","    <tr>\n","      <th>굴포천</th>\n","      <td>20230910</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>20230913</td>\n","      <td>1</td>\n","      <td>6</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>524 rows × 6 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3d7684f4-bfb2-43f6-8359-b205810ca15b')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-3d7684f4-bfb2-43f6-8359-b205810ca15b 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-3d7684f4-bfb2-43f6-8359-b205810ca15b');\n","        const dataTable =\n","          await google.colab.kernel.invokeFunction('convertToInteractive',\n","                                                    [key], {});\n","        if (!dataTable) return;\n","\n","        const docLinkHtml = 'Like what you see? Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-94cea6ac-a8de-4dda-aca7-c562ac60f0a4\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-94cea6ac-a8de-4dda-aca7-c562ac60f0a4')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-94cea6ac-a8de-4dda-aca7-c562ac60f0a4 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":115}]},{"cell_type":"code","source":["rideon_df = station_line_group_df2.groupby('역명').max('total').sort_values('total', ascending = False).head(5).reset_index()\n","sns.barplot(rideon_df, x = '역명', y = 'total').set(title = '서울 지하철 전체 노선 23년 9월 하루 승하차 최대인원 역 top5')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":489},"id":"j_yMfkIJc250","executionInfo":{"status":"ok","timestamp":1697443669627,"user_tz":-540,"elapsed":902,"user":{"displayName":"Ernesto Jung","userId":"10440673311570958840"}},"outputId":"06c1003f-c03a-42d3-93cf-9da94e7d06c0"},"execution_count":116,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[Text(0.5, 1.0, '서울 지하철 전체 노선 23년 9월 하루 승하차 최대인원 역 top5')]"]},"metadata":{},"execution_count":116},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["한 역에 여러 노선을 날짜별로 합쳐서 보니, 단일역으로는 홍대입구역이 최대인원!\n","\n","3~4개 노선이 겹치는 서울역이 순위 치고 올라왔고, 2개 노선밖에 안겹치는 강남이 순위 내려옴."],"metadata":{"id":"dW7lmPmIh1ex"}},{"cell_type":"code","source":[],"metadata":{"id":"BKbJO7LhhuAI"},"execution_count":null,"outputs":[]}]}