{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "pip install kneed"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sRlTr75e4rbX",
        "outputId": "71913453-a599-420f-d1e4-a0e327e3bbcd"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting kneed\n",
            "  Downloading kneed-0.8.5-py3-none-any.whl.metadata (5.5 kB)\n",
            "Requirement already satisfied: numpy>=1.14.2 in /usr/local/lib/python3.11/dist-packages (from kneed) (2.0.2)\n",
            "Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.11/dist-packages (from kneed) (1.14.1)\n",
            "Downloading kneed-0.8.5-py3-none-any.whl (10 kB)\n",
            "Installing collected packages: kneed\n",
            "Successfully installed kneed-0.8.5\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**KneeLocator **— это инструмент из библиотеки kneed, который позволяет находить \"колено\" (или \"изгиб\") в графике, что часто используется в методе локтя для определения оптимального количества кластеров."
      ],
      "metadata": {
        "id": "nIAl74s443YW"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "dfiTVBed1rBH"
      },
      "outputs": [],
      "source": [
        "# импортируем необходимые библиотеки и функции\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from mpl_toolkits.mplot3d import Axes3D  # Импортируем Axes3D\n",
        "import seaborn as sns\n",
        "from sklearn.cluster import KMeans\n",
        "from kneed import KneeLocator"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "STFxgApf1rBo",
        "outputId": "40abb917-e82e-45f7-aace-221bcfd5f7c8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Customer Id  Age  Edu  Years Employed  Income  Card Debt  Other Debt  \\\n",
              "0            1   41    2               6      19      0.124       1.073   \n",
              "1            2   47    1              26     100      4.582       8.218   \n",
              "2            3   33    2              10      57      6.111       5.802   \n",
              "3            4   29    2               4      19      0.681       0.516   \n",
              "4            5   47    1              31     253      9.308       8.908   \n",
              "\n",
              "   DebtIncomeRatio  \n",
              "0              6.3  \n",
              "1             12.8  \n",
              "2             20.9  \n",
              "3              6.3  \n",
              "4              7.2  "
            ],
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              "      <th></th>\n",
              "      <th>Customer Id</th>\n",
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              "      <th>Income</th>\n",
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              "      <td>1</td>\n",
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              "      <td>19</td>\n",
              "      <td>0.124</td>\n",
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              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>19</td>\n",
              "      <td>0.681</td>\n",
              "      <td>0.516</td>\n",
              "      <td>6.3</td>\n",
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              "      <td>253</td>\n",
              "      <td>9.308</td>\n",
              "      <td>8.908</td>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 850,\n  \"fields\": [\n    {\n      \"column\": \"Customer Id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 245,\n        \"min\": 1,\n        \"max\": 850,\n        \"num_unique_values\": 850,\n        \"samples\": [\n          513,\n          358,\n          111\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 20,\n        \"max\": 56,\n        \"num_unique_values\": 37,\n        \"samples\": [\n          23,\n          43,\n          40\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Edu\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 5,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1,\n          5,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Years Employed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6,\n        \"min\": 0,\n        \"max\": 33,\n        \"num_unique_values\": 33,\n        \"samples\": [\n          28,\n          19,\n          15\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Income\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 38,\n        \"min\": 13,\n        \"max\": 446,\n        \"num_unique_values\": 129,\n        \"samples\": [\n          15,\n          70,\n          43\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Card Debt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.125843273256507,\n        \"min\": 0.012,\n        \"max\": 20.561,\n        \"num_unique_values\": 727,\n        \"samples\": [\n          1.21,\n          0.447,\n          1.916\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Other Debt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.3987988045071202,\n        \"min\": 0.046,\n        \"max\": 35.197,\n        \"num_unique_values\": 788,\n        \"samples\": [\n          3.0210000000000004,\n          7.162999999999999,\n          1.877\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"DebtIncomeRatio\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.719441292022335,\n        \"min\": 0.1,\n        \"max\": 41.3,\n        \"num_unique_values\": 245,\n        \"samples\": [\n          13.5,\n          6.6,\n          6.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "# загружаем данные\n",
        "data = pd.read_csv('customer_segmentation.csv', sep=';')\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "_TL6V91O1rBt"
      },
      "outputs": [],
      "source": [
        "# удаляем переменную Customer Id\n",
        "data.drop('Customer Id', axis=1, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1_7O3l1S1rBu",
        "outputId": "29fedde3-f18e-45b2-a855-510663236ba1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 850 entries, 0 to 849\n",
            "Data columns (total 7 columns):\n",
            " #   Column           Non-Null Count  Dtype  \n",
            "---  ------           --------------  -----  \n",
            " 0   Age              850 non-null    int64  \n",
            " 1   Edu              850 non-null    int64  \n",
            " 2   Years Employed   850 non-null    int64  \n",
            " 3   Income           850 non-null    int64  \n",
            " 4   Card Debt        850 non-null    float64\n",
            " 5   Other Debt       850 non-null    float64\n",
            " 6   DebtIncomeRatio  850 non-null    float64\n",
            "dtypes: float64(3), int64(4)\n",
            "memory usage: 46.6 KB\n"
          ]
        }
      ],
      "source": [
        "# смотрим пропуски и типы переменных\n",
        "data.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "qwKeq_OD1rBu"
      },
      "outputs": [],
      "source": [
        "# выполняем стандартизацию\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "scaler = StandardScaler()\n",
        "scal_data = scaler.fit_transform(data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "ZsSfmvR81rBz"
      },
      "outputs": [],
      "source": [
        "# с помощью \"метода локтя\" определим оптимальное количество кластеров\n",
        "\n",
        "# создаем пустой список, в котором будем хранить\n",
        "# внутрикластерную сумму квадратов –\n",
        "# within cluster sum of squares (wcss)\n",
        "wcss_lst = []\n",
        "# строим KMeans с разным количеством кластеров\n",
        "for i in range(1, 11):\n",
        "    kmeans = KMeans(n_clusters=i, init='k-means++', random_state=42)\n",
        "    kmeans.fit(scal_data)\n",
        "    # атрибут inertia_ возвращает wcss\n",
        "    wcss_lst.append(kmeans.inertia_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "Q2Zlv5mR1rBz",
        "outputId": "e7732fc8-b023-4688-f4ef-d5ee7c3e52a1"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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njPOVK5tZHQAAAIDLmPrOFq5T5crGCFZKinTihPTbb1KLFlIBa4UBAAAAMBdhq6xxdzfezfLzk4YNkx5+WBo/3uyqAAAAAFyGsFWWPf+85OAgff65tHWr2dUAAAAAuARhqyxr0kQaPNjYj4iQmOsEAAAAKDUIW2Xd1KmSq6sUFyetXm12NQAAAAD+h7BV1t18szR6tLEfESFlZ5tbDwAAAABJhK3y4bnnjGngd++WPvzQ7GoAAAAAiLBVPlSvbkyWIUkTJ0rnz5tbDwAAAADCVrkxapRUp4507Jj01ltmVwMAAABUeISt8sLNTZo2zdh/5RXp9Glz6wEAAAAqOMJWeTJwoHT77UbQmjHD7GoAAACACo2wVZ44OeWFrDfeMB4pBAAAAGAKwlZ5ExYmtW8vXbggTZ5sdjUAAABAhUXYKm8cHKSZM439RYuM6eABAAAAlDjCVnnUpo3Us6eUk5M3JTwAAACAEkXYKq9eftl4h2v5cum778yuBgAAAKhwCFvlVcOG0rBhxv6ECZLVam49AAAAQAVD2CrPJk2SqlSRtmyRli41uxoAAACgQiFslWe1a0vjxhn7kZHSxYvm1gMAAABUIISt8m78eKlmTemXX6T33ze7GgAAAKDCIGyVd56e0sSJxv6UKVJGhqnlAAAAABUFYasiGDFCCgyUkpOl1183uxoAAACgQiBsVQQuLsZU8JKx4PHJk+bWAwAAAFQAhK2K4l//klq0kM6cyQteAAAAAIoNYauicHQ0RrUkae5c6cgRc+sBAAAAyjnCVkXSubN0//1SVlbepBkAAAAAigVhq6LJHd1askT68UdzawEAAADKMcJWRXPHHVK/fsb+c8+ZWwsAAABQjhG2KqLp06VKlaTYWGMDAAAAUOQIWxVRYKD05JPGfkSElJNjbj0AAABAOUTYqqheeEGqWlX66Sfpk0/MrgYAAAAodwhbFVWtWsaolmQErwsXzK0HAAAAKGcIWxXZmDFS7dpSYqL0zjtmVwMAAACUK6aGrSlTpsjBwcFua9Soka29Q4cO+dpHjBhhd42kpCSFhYWpSpUq8vHx0fjx43Xx4kW7Phs2bFCLFi3k6uqq+vXrKyYmpiRur/Rzd5emTDH2p02TLBZTywEAAADKE9NHtm6//XadOHHCtn3//fd27cOGDbNrj46OtrVlZ2crLCxMmZmZ2rx5sxYtWqSYmBhNmjTJ1icxMVFhYWHq2LGjEhISNGbMGA0dOlRr164tsXss1R57TGrYUPrjD+nVV82uBgAAACg3TA9bzs7O8vPzs201a9a0a69SpYpdu6enp63t66+/1t69e/Xhhx+qefPm6tq1q6ZNm6a3335bmZmZkqT58+crMDBQs2bNUlBQkEaNGqVevXpp9uzZJXqfpZazsxQVZey/9pp04oS59QAAAADlhOlh6+DBg/L399ett96q/v37Kykpya598eLFqlmzppo0aaLIyEj99ddftrb4+HgFBwfL19fXdi40NFQWi0V79uyx9encubPdNUNDQxUfH3/Fmi5cuCCLxWK3lWsPPSS1aSP99Zc0darZ1QAAAADlgqlhq3Xr1oqJidGaNWs0b948JSYm6p577tGZM2ckSf369dOHH36o9evXKzIyUh988IEGDBhg+3xycrJd0JJkO05OTr5qH4vFonPnzhVYV1RUlLy8vGxbQEBAkd1zqeTgIOU+nvnee9KBA+bWAwAAAJQDzmZ+edeuXW37TZs2VevWrVW3bl19+umnevzxxzV8+HBbe3BwsGrXrq1OnTrp8OHDqlevXrHVFRkZqXHjxtmOLRZL+Q9c99wjPfigtHy59Pzz0v/9n9kVAQAAAGWa6Y8RXsrb21u33XabDh06VGB769atJcnW7ufnp5SUFLs+ucd+fn5X7ePp6Sk3N7cCv8fV1VWenp52W4UQFSU5OkpffCFt2WJ2NQAAAECZVqrC1tmzZ3X48GHVrl27wPaEhARJsrWHhIRo165dSk1NtfWJjY2Vp6enGjdubOuzbt06u+vExsYqJCSkGO6gjLv9dmnIEGN/wgTJajW1HAAAAKAsMzVsPfvss4qLi9PRo0e1efNmPfzww3JyclLfvn11+PBhTZs2TTt27NDRo0e1bNkyDRo0SO3bt1fTpk0lSV26dFHjxo01cOBA7dy5U2vXrtWLL76o8PBwubq6SpJGjBihI0eOaMKECdq/f7/mzp2rTz/9VGPHjjXz1kuvqVOlypWl776TVq40uxoAAACgzDI1bP3222/q27evGjZsqN69e6tGjRrasmWLatWqJRcXF33zzTfq0qWLGjVqpGeeeUY9e/bU8uXLbZ93cnLSihUr5OTkpJCQEA0YMECDBg3SSy+9ZOsTGBiolStXKjY2Vs2aNdOsWbP03nvvKTQ01IxbLv3q1JGeftrYf+45KTvb3HoAAACAMsrBauVZsWuxWCzy8vJSenp6xXh/6/RpqV4948///Ed69FGzKwIAAABKhevJBqXqnS2UEtWqGTMSStKkSdIVpsgHAAAAcGWELRRs1CgpIED67TfpzTfNrgYAAAAocwhbKFjlytK0acZ+VJT055/m1gMAAACUMYQtXNmAAVJwsJSWJs2YYXY1AAAAQJlC2MKVOTnlhaw5c6SkJHPrAQAAAMoQwhaurmtX6d57pQsXpMmTza4GAAAAKDMIW7g6BwcpOtrYX7RI2rXL3HoAAACAMoKwhWu76y6pVy/JapUiI82uBgAAACgTCFsonFdeMd7hWrlSioszuxoAAACg1CNsoXAaNJCGDzf2J0wwRrkAAAAAXBFhC4U3aZLk7i5t2yZ98YXZ1QAAAAClGmELhefnJz3zjLEfGSllZZlbDwAAAFCKEbZwfZ59VqpVSzp4UHr/fbOrAQAAAEotwhauT9WqxuOEkjRlinT2rKnlAAAAAKUVYQvXb/hwqV49KSVFmj3b7GoAAACAUomwhevn4iK9/LKxHx0tpaaaWw8AAABQChG2cGMeeURq2dJ4jHD6dLOrAQAAAEodwhZujKOjMaolSfPnS4cPm1sPAAAAUMoQtnDj7rtPCg01poB/8UWzqwEAAABKFcIW/p4ZMyQHB+njj6UdO8yuBgAAACg1CFv4e5o3l/r3N/YjIiSr1dRyAAAAgNKCsIW/b9o0Y4bCdeuk2FizqwEAAABKBcIW/r5bbpHCw439iAgpJ8fUcgAAAIDSgLCFovH885Knp5SQIH30kdnVAAAAAKYjbKFo1KwpPfecsf/ii9KFC+bWAwAAAJiMsIWi8/TTUu3a0tGj0rx5ZlcDAAAAmIqwhaJTpYo0daqxP326lJ5ubj0AAACAiQhbKFqPPio1aiSdOiVFR5tdDQAAAGAawhaKlrOzFBVl7M+eLR0/bm49AAAAgEkIWyh63btLbdtK587lPVYIAAAAVDCELRQ9Bwdp5kxj//33pf37za0HAAAAMAFhC8Xj7rulf/5Tys421uACAAAAKhjCFopPVJTk6CgtXSpt3mx2NQAAAECJImyh+DRubMxOKEkREZLVam49AAAAQAkyNWxNmTJFDg4OdlujRo1s7efPn1d4eLhq1KghDw8P9ezZUykpKXbXSEpKUlhYmKpUqSIfHx+NHz9eFy9etOuzYcMGtWjRQq6urqpfv75iYmJK4vYgGRNkVK4sff+9tHy52dUAAAAAJcb0ka3bb79dJ06csG3ff/+9rW3s2LFavny5PvvsM8XFxen48ePq0aOHrT07O1thYWHKzMzU5s2btWjRIsXExGjSpEm2PomJiQoLC1PHjh2VkJCgMWPGaOjQoVq7dm2J3meFddNN0pgxxn5kpHRZEAYAAADKKwer1bxnu6ZMmaIvv/xSCQkJ+drS09NVq1YtLVmyRL169ZIk7d+/X0FBQYqPj1ebNm20evVqdevWTcePH5evr68kaf78+YqIiNDJkyfl4uKiiIgIrVy5Urt377Zdu0+fPkpLS9OaNWsKVafFYpGXl5fS09Pl6en592+8oklLk+rVk/7805id8LHHzK4IAAAAuCHXkw1MH9k6ePCg/P39deutt6p///5KSkqSJO3YsUNZWVnq3LmzrW+jRo108803Kz4+XpIUHx+v4OBgW9CSpNDQUFksFu3Zs8fW59Jr5PbJvUZBLly4IIvFYrfhb/D2ll54wdifNEn66y9TywEAAABKgqlhq3Xr1oqJidGaNWs0b948JSYm6p577tGZM2eUnJwsFxcXeXt7233G19dXycnJkqTk5GS7oJXbntt2tT4Wi0Xnzp0rsK6oqCh5eXnZtoCAgKK43YrtySelm2+Wfv9devNNs6sBAAAAip2pYatr16565JFH1LRpU4WGhmrVqlVKS0vTp59+amZZioyMVHp6um07duyYqfWUC5UrS9OnG/tRUdKpU+bWAwAAABQz0x8jvJS3t7duu+02HTp0SH5+fsrMzFRaWppdn5SUFPn5+UmS/Pz88s1OmHt8rT6enp5yc3MrsA5XV1d5enrabSgC/fpJTZtK6elG4AIAAADKsVIVts6ePavDhw+rdu3aatmypSpVqqR169bZ2g8cOKCkpCSFhIRIkkJCQrRr1y6lpqba+sTGxsrT01ONGze29bn0Grl9cq+BEuTkJM2caey/+ab066/m1gMAAAAUI1PD1rPPPqu4uDgdPXpUmzdv1sMPPywnJyf17dtXXl5eevzxxzVu3DitX79eO3bs0KOPPqqQkBC1adNGktSlSxc1btxYAwcO1M6dO7V27Vq9+OKLCg8Pl6urqyRpxIgROnLkiCZMmKD9+/dr7ty5+vTTTzV27Fgzb73iCg2VOnaUMjONyTIAAACAcsrUsPXbb7+pb9++atiwoXr37q0aNWpoy5YtqlWrliRp9uzZ6tatm3r27Kn27dvLz89PX3zxhe3zTk5OWrFihZycnBQSEqIBAwZo0KBBeumll2x9AgMDtXLlSsXGxqpZs2aaNWuW3nvvPYWGhpb4/UKSg0Pe6NYHH0g//2xuPQAAAEAxMXWdrbKCdbaKwb/+JX36qdS1q7RqldnVAAAAAIVSptbZQgX18suSs7O0erW0fr3Z1QAAAABFjrAFc9SvLz3xhLEfESExwAoAAIByhrAF80ycKHl4SNu3S59/bnY1AAAAQJEibME8vr7Ss88a+88/L2VlmVsPAAAAUIQIWzDXuHGSj4906JD07rtmVwMAAAAUGcIWzFW1qjR5srE/dap09qy59QAAAABFhLAF8w0bZkyYkZoqzZpldjUAAABAkSBswXyVKhlTwUvSv/8tpaSYWw8AAABQBAhbKB0eeUS6807jMcJp08yuBgAAAPjbCFsoHRwcpJkzjf133jEmzAAAAADKMMIWSo+OHaWuXaWLF6UXXzS7GgAAAOBvIWyhdImKMka5PvnEWOwYAAAAKKMIWyhdmjWTBgww9iMiJKvV3HoAAACAG0TYQukzbZrk4iKtXy+tXWt2NQAAAMANIWyh9KlbVxo1ytiPiJBycsytBwAAALgBhC2UTs8/L3l5ST//LC1ebHY1AAAAwHUjbKF0qlFDeu45Y//FF6Xz582tBwAAALhOhC2UXk8/Ld10k5SUJM2bZ3Y1AAAAwHUhbKH0cnOTpk419qdPl9LSTC0HAAAAuB6ELZRugwdLQUHSn39K0dFmVwMAAAAUGmELpZuzszRjhrH/+uvS77+bWg4AAABQWIQtlH4PPii1ayedOydNmWJ2NQAAAEChELZQ+jk45D1C+J//SHv3mlsPAAAAUAiELZQNbdtKDz1kLHD8/PNmVwMAAABcE2ELZUdUlOToKH31lbRpk9nVAAAAAFdF2ELZ0aiR9Pjjxv6ECZLVam49AAAAwFUQtlC2TJlirL+1ebO0bJnZ1QAAAABXRNhC2eLvL40da+w/95x08aK59QAAAABXQNhC2TNhglSjhrR/vxQTY3Y1AAAAQIEIWyh7vLykF1809idPlv76y9x6AAAAgAIQtlA2jRwp1a0rHT8uvfGG2dUAAAAA+RC2UDa5ukrTpxv7M2ZIp06ZWw8AAABwGcIWyq5+/aRmzSSLRXr5ZbOrAQAAAOwQtlB2OTpKM2ca+2+/LR09amo5AAAAwKVKTdiaMWOGHBwcNGbMGNu5Dh06yMHBwW4bMWKE3eeSkpIUFhamKlWqyMfHR+PHj9fFy6YD37Bhg1q0aCFXV1fVr19fMcxgV3506SJ16iRlZkoTJ5pdDQAAAGBTKsLW9u3b9c4776hp06b52oYNG6YTJ07YtujoaFtbdna2wsLClJmZqc2bN2vRokWKiYnRpEmTbH0SExMVFhamjh07KiEhQWPGjNHQoUO1du3aErk3FDMHh7zRrcWLpYQEU8sBAAAAcpkets6ePav+/fvr3XffVbVq1fK1V6lSRX5+frbN09PT1vb1119r7969+vDDD9W8eXN17dpV06ZN09tvv63MzExJ0vz58xUYGKhZs2YpKChIo0aNUq9evTR79uwSu0cUs5YtpT59JKtViow0uxoAAABAUikIW+Hh4QoLC1Pnzp0LbF+8eLFq1qypJk2aKDIyUn9dsqZSfHy8goOD5evrazsXGhoqi8WiPXv22Ppcfu3Q0FDFx8dfsaYLFy7IYrHYbSjlpk+XnJ2lNWukb781uxoAAABAzmZ++ccff6wff/xR27dvL7C9X79+qlu3rvz9/fXzzz8rIiJCBw4c0BdffCFJSk5OtgtakmzHycnJV+1jsVh07tw5ubm55fveqKgoTZ069W/fH0pQvXrSiBHSW29JEyZI27YZE2gAAAAAJjEtbB07dkxPP/20YmNjVbly5QL7DB8+3LYfHBys2rVrq1OnTjp8+LDq1atXbLVFRkZq3LhxtmOLxaKAgIBi+z4UkYkTpZgYaccO6bPPpH/9y+yKAAAAUIGZ9p/+d+zYodTUVLVo0ULOzs5ydnZWXFyc5syZI2dnZ2VnZ+f7TOvWrSVJhw4dkiT5+fkpJSXFrk/usZ+f31X7eHp6FjiqJUmurq7y9PS021AG+PhI48cb+y+8YMxQCAAAAJjEtLDVqVMn7dq1SwkJCbatVatW6t+/vxISEuTk5JTvMwn/m2mudu3akqSQkBDt2rVLqamptj6xsbHy9PRU48aNbX3WrVtnd53Y2FiFhIQU053BVOPGSb6+0uHD0oIFZlcDAACACsy0sFW1alU1adLEbnN3d1eNGjXUpEkTHT58WNOmTdOOHTt09OhRLVu2TIMGDVL79u1tU8R36dJFjRs31sCBA7Vz506tXbtWL774osLDw+Xq6ipJGjFihI4cOaIJEyZo//79mjt3rj799FONHTvWrFtHcfLwkCZPNvZfekk6c8bcegAAAFBhldoZBFxcXPTNN9+oS5cuatSokZ555hn17NlTy5cvt/VxcnLSihUr5OTkpJCQEA0YMECDBg3SSy+9ZOsTGBiolStXKjY2Vs2aNdOsWbP03nvvKTQ01IzbQkkYOlRq0EA6eVKaNcvsagAAAFBBOVitVqvZRZR2FotFXl5eSk9P5/2tsuLzz6VHHpHc3aVDh6T/vcMHAAAA/B3Xkw1K7cgW8Lf07CnddZeUkSFNm2Z2NQAAAKiACFsonxwcpOhoY3/BAungQXPrAQAAQIVD2EL5de+90gMPSBcvGlPBAwAAACWIsIXybcYMKShI6t9funBBSk011t/KyDC7MgAAAJRzhC2Ub8HB0qZN0g8/GJNk+PoaW3S0dP682dUBAACgHHM2uwCgWGVkSK+/Lk2fnncuLc1Yg0uSJkwwZiwEAAAAihgjWyjfKlWS5swpuG3OHKMdAAAAKAaELZRvaWnGdqW29PQSLAYAAAAVCWEL5Zu3t7Fdqc3LqwSLAQAAQEVC2EL5lpUljR5dcNuoUdL69dKOHSVbEwAAACoEwhbKN3d3KTJSmjQpb4TL29s4fvppacwYKSREeuMNyWo1sVAAAACUN4QtlH+VKxuzDqakGOtspaQYx87OUqNGxujXmDHSQw9Jf/5pdrUAAAAoJwhbqBjc3SUXF6lWLeNPd3djhOuLL6Q33zTOLVsmNW8uff+92dUCAACgHCBsoWJzcDDe3dqyRapfXzp2TOrQQXrlFSknx+zqAAAAUIYRtgBJuuMO6ccfpf79pexs6YUXpNBQKTnZ7MoAAABQRhG2gFxVq0offCD95z9SlSrSN99IzZpJsbFmVwYAAIAyiLAFXMrBQXr0UemHH6QmTYwJNUJDpeefly5eNLs6AAAAlCGELaAgQUHStm3SE08YU8JHRUn33islJZldGQAAAMoIwhZwJW5u0vz50iefSJ6e0ubNxmyFX31ldmUAAAAoA/522Pr111+1d+9e5TBzG8qr3r2ln36SWrWSTp821uN6+mnpwgWzKwMAAEApVuiw9Z///Eevvfaa3bnhw4fr1ltvVXBwsJo0aaJjx44VeYFAqXDrrdKmTdK4ccbxnDlS27bSoUPm1gUAAIBSq9Bha8GCBapWrZrteM2aNVq4cKH++9//avv27fL29tbUqVOLpUigVHBxkWbNklaskGrUMKaKb9FC+ugjsysDAABAKVTosHXw4EG1atXKdvzVV1+pe/fu6t+/v1q0aKFXXnlF69atK5YigVIlLExKSJDat5fOnJH69ZOGDpX++svsygAAAFCKFDpsnTt3Tp6enrbjzZs3q3379rbjW2+9VcksAIuKok4dad06adIkY7r499+X7rxT2r3b7MoAAABQShQ6bNWtW1c7duyQJP3xxx/as2eP2rVrZ2tPTk6Wl5dX0VcIlFbOztLUqcbix35+0t69RuB6911jungAAABUaIUOW4MHD1Z4eLimTZumRx55RI0aNVLLli1t7Zs3b1aTJk2KpUigVLvvPmnnTmPx4/PnpeHDpb59JYvF7MoAAABgokKHrQkTJmjYsGH64osvVLlyZX322Wd27Zs2bVLfvn2LvECgTPDxkVatkmbONEa8PvlEuuMO6YcfzK4MAAAAJnGwWnne6VosFou8vLyUnp5u994aUKAtW6Q+faRff5UqVZKio411uRwczK4MAAAAf9P1ZIO/tajx+fPntWjRIs2dO1eHWG8IMLRpYyyC3KOHlJUljR0rde8unTpldmUAAAAoQYUe2Ro3bpyysrL05ptvSpIyMzPVunVr7dmzR1WqVNHFixcVGxurkJCQYi3YDIxs4YZYrdK8eUbYysw0ZjBcskS65x6zKwMAAMANKpaRra+//lr333+/7Xjx4sX69ddfdfDgQZ0+fVqPPPKIpk+ffuNVA+WNg4P05JPS1q3SbbdJv/0mdeggTZ8uZWebXR0AAACKWaHDVlJSkho3bmw7/vrrr9WrVy/VrVtXDg4Oevrpp/XTTz8VS5FAmda8ubRjhzRwoJSTI02caMxceOKE2ZUBAACgGBU6bDk6OurSJw63bNmiNm3a2I69vb11+vTpoq0OKC88PKT//leKiZGqVDEWRG7eXPr6a7MrAwAAQDEpdNgKCgrS8uXLJUl79uxRUlKSOnbsaGv/9ddf5evrW/QVAuXJ4MHGKFfTplJqqjHCFRlpTKQBAACAcuW61tmKjIxUp06d1KlTJz3wwAMKDAy0ta9atUp33XXXDRcyY8YMOTg4aMyYMbZz58+fV3h4uGrUqCEPDw/17NlTKSkpdp9LSkpSWFiYqlSpIh8fH40fP14XL16067Nhwwa1aNFCrq6uql+/vmJiYm64TuBva9TImB5+5EjjeMYM412uX381tSwAAAAUrUKHrYcfflirVq1S06ZNNXbsWH3yySd27VWqVNGTTz55Q0Vs375d77zzjpo2bWp3fuzYsVq+fLk+++wzxcXF6fjx4+rRo4etPTs7W2FhYcrMzNTmzZu1aNEixcTEaNKkSbY+iYmJCgsLU8eOHZWQkKAxY8Zo6NChWrt27Q3VChQJNzdp7lzps88kT09p82bjscIvvzS7MgAAABQR0xc1Pnv2rFq0aKG5c+dq+vTpat68uV5//XWlp6erVq1aWrJkiXr16iVJ2r9/v4KCghQfH682bdpo9erV6tatm44fP257hHH+/PmKiIjQyZMn5eLiooiICK1cuVK7d++2fWefPn2UlpamNWvWFKpGpn5HsUpMNBZB3rbNOH7qKenVVyVXV3PrAgAAQD7FMvX7wYMH1bdvX1kslnxt6enp6tevn44cOXLdxYaHhyssLEydO3e2O79jxw5lZWXZnW/UqJFuvvlmxcfHS5Li4+MVHBxs965YaGioLBaL9uzZY+tz+bVDQ0Nt1yjIhQsXZLFY7Dag2AQGSt99Jz37rHH85ptSSIh08KC5dQEAAOBvKXTYevXVVxUQEFBgevPy8lJAQIBeffXV6/ryjz/+WD/++KOioqLytSUnJ8vFxUXe3t525319fZWcnGzrc/mkHLnH1+pjsVh07ty5AuuKioqSl5eXbQsICLiu+wKum4uLMZq1cqVUs6b0009SixbS4sVmVwYAAIAbVOiwFRcXp0ceeeSK7b1799a3335b6C8+duyYnn76aS1evFiVK1cu9OdKQmRkpNLT023bsWPHzC4JFcUDD0gJCdK990pnz0oDBkiPPSZlZJhdGQAAAK7TdS1q7OPjc8X2mjVrXlco2bFjh1JTU9WiRQs5OzvL2dlZcXFxmjNnjpydneXr66vMzEylpaXZfS4lJUV+fn6SJD8/v3yzE+YeX6uPp6en3NzcCqzN1dVVnp6edhtQYm66yViHa/JkydFRWrhQuvNOadcusysDAADAdSh02PLy8tLhw4ev2H7o0KHrCiWdOnXSrl27lJCQYNtatWql/v372/YrVaqkdevW2T5z4MABJSUlKSQkRJIUEhKiXbt2KTU11dYnNjZWnp6eaty4sa3PpdfI7ZN7DaBUcnKSpkwxQlft2tK+fdJdd0kLFkjmzmkDAACAQir0bIS9e/dWVlaWli5dWmB79+7d5eLios8+++yGi+nQoYNtNkJJGjlypFatWqWYmBh5enrqqaeekiRt3rxZkjH1e/PmzeXv76/o6GglJydr4MCBGjp0qF555RVJxtTvTZo0UXh4uB577DF9++23Gj16tFauXKnQ0NBC1cVshDDVyZPGYsirVxvHvXsbocvLy9y6AAAAKqBimY0wMjJSq1evVq9evbRt2zbb+0xbt25Vz549tXbtWkVGRv7t4i81e/ZsdevWTT179lT79u3l5+enL774wtbu5OSkFStWyMnJSSEhIRowYIAGDRqkl156ydYnMDBQK1euVGxsrJo1a6ZZs2bpvffeK3TQAkxXq5a0YoUxgYazs/Tpp8bkGdu3m10ZAAAAruK61tlasWKFHnvsMZ06dcrufI0aNfTee+/pn//8Z5EXWBowsoVSY+tWY02uo0elSpWkmTOlMWMkBwezKwMAAKgQricbFDpsJSYmKjAwUOfOndPatWt18OBBWa1W3XbbberSpYuqVKlSJMWXRoQtlCppadKwYdLnnxvH3boZk2jUrGlqWQAAABVBsYQtR0dH1a1bVx07drRtderUKZKCSzvCFkodq1WaP18aO1a6cMGYwfCjj6R77jG7MgAAgHKtWN7Z+vbbbzV48GAdOXJEw4cPV926ddWgQQM98cQT+vjjj/NNrw6gGDk4SCNHGo8VNmwo/f671KGDNG2alJ1tdnUAAADQdb6zlev8+fPavHmzNmzYoA0bNmjbtm3KyspSo0aNtGfPnuKo01SMbKFUO3tWGjVKWrTIOL7vPunDD40p4wEAAFCkiuUxwoJkZmZq06ZNWr16td555x2dPXtW2eXwv6oTtlAm/Pe/0pNPShkZxgyGH3wgMesmAABAkSqWxwglI1xt3LhRU6dOVceOHeXt7a0RI0bo9OnTeuutt5SYmPi3CgfwNwwaJO3YITVtaqzN9Y9/SM89J2VlmV0ZAABAhVToka377rtPW7duVWBgoO69917dc889uvfee1W7AjyqxMgWypTz56VnnpHmzjWOQ0KMyTPq1jW3LgAAgHKgWEa2vvvuO9WoUUP33XefOnXqpPvvv79CBC2gzKlcWXr7bWNqeC8vKT5eat5cWrrU7MoAAAAqlEKHrbS0NC1YsEBVqlTRzJkz5e/vr+DgYI0aNUqff/65Tp48WZx1ArhePXtKCQlS69bG2lw9ehgTaZw/b3ZlAAAAFcINT5Bx5swZff/991q/fr02bNignTt3qkGDBtq9e3dR12g6HiNEmZaVJb34ohQdbRw3by598ol0222mlgUAAFAWFdsEGZdyd3dX9erVVb16dVWrVk3Ozs7at2/fjV4OQHGpVEmaOVNatUqqWdMY7WrRwpgeHgAAAMWm0GErJydH27ZtU3R0tLp27Spvb2+1bdtWc+fOlZ+fn95++20dOXKkOGsF8Hd07Srt3GksfpyRIQ0cKD36qLEPAACAIlfoxwg9PT2VkZEhPz8/dezYUR07dlSHDh1Ur1694q7RdDxGiHIlO1t6+WVp6lQpJ0dq1Mh4rLBpU7MrAwAAKPWKZVHjd955Rx07dtRtFfA9D8IWyqW4OKlfP+n4cWMGw9dfl4YPlxwczK4MAACg1CqWsFWREbZQbp08KQ0ZYrzPJUmPPCK9+64xZTwAAADyKZEJMgCUA7VqScuXS7NmSc7O0mefSXfcIW3bZnZlAAAAZR5hC6joHB2lceOkTZukwEApMVFq105auNCYPCMzU0pNNf5kMg0AAIBCI2wBMNx1l/TTT8ajhPXrS926GVPG+/rmbdHRLIoMAABQSM5mFwCgFPHyMmYmPHhQmjNHmj49ry0tTXrpJWN/wgTJ3d2UEgEAAMoKRrYA2HNwkG65RXrrrYLb58wxFkoGAADAVRG2AOSXlmZsV2o7fboEiwEAACibCFsA8vP2NrYrtXl4SI8+Ku3cWYJFAQAAlC2ELQD5ZWVJo0cX3PbUU1JsrBQTIzVvLvXsSegCAAAoAGELQH7u7lJkpDRpUt4Il7e3cfz881KTJlKfPsb7XV98QegCAAAogIPVarWaXURpdz2rRAPlSkaGMRlGeroxU2FWlv0shHv3GjMWfvyxlPuPkocfNkJZ8+amlAwAAFCcricbMLIF4Mrc3SUXF6lWLePPy6d7b9xYWrJE2rNH6tvXGOlaulS64w6pRw8pIcGUsgEAAEoDwhaAvy8oiNAFAABwGcIWgKJD6AIAALAhbAEoepeGrn797EPXww8TugAAQIVA2AJQfIKCpMWL7UPXl18SugAAQIVA2AJQ/K4Vun76yewKAQAAihxhC0DJyQ1de/fah64WLQhdAACg3CFsASh5jRrlha7+/SVHx7zQ9dBDhC4AAFAuELYAmKdRI+nDD43HC3ND11dfEboAAEC5YGrYmjdvnpo2bSpPT095enoqJCREq1evtrV36NBBDg4OdtuIESPsrpGUlKSwsDBVqVJFPj4+Gj9+vC5evGjXZ8OGDWrRooVcXV1Vv359xcTElMTtASgsQhcAACiHTA1bderU0YwZM7Rjxw798MMPuu+++9S9e3ft2bPH1mfYsGE6ceKEbYuOjra1ZWdnKywsTJmZmdq8ebMWLVqkmJgYTZo0ydYnMTFRYWFh6tixoxISEjRmzBgNHTpUa9euLdF7BVAIhC4AAFCOOFitVqvZRVyqevXqevXVV/X444+rQ4cOat68uV5//fUC+65evVrdunXT8ePH5evrK0maP3++IiIidPLkSbm4uCgiIkIrV67U7t27bZ/r06eP0tLStGbNmkLVZLFY5OXlpfT0dHl6ev7tewRQSAcOSNOnG2t25eQY5/75T2nyZCOAAQAAlLDryQal5p2t7Oxsffzxx8rIyFBISIjt/OLFi1WzZk01adJEkZGR+uuvv2xt8fHxCg4OtgUtSQoNDZXFYrGNjsXHx6tz58523xUaGqr4+Pgr1nLhwgVZLBa7DYAJGjaUPvjAmEhjwABjpGvZMqllS6l7d+nHH82uEAAA4IpMD1u7du2Sh4eHXF1dNWLECC1dulSNGzeWJPXr108ffvih1q9fr8jISH3wwQcaMGCA7bPJycl2QUuS7Tg5OfmqfSwWi86dO1dgTVFRUfLy8rJtAQEBRXa/AG4AoQsAAJRBpoethg0bKiEhQVu3btXIkSM1ePBg7d27V5I0fPhwhYaGKjg4WP3799d///tfLV26VIcPHy7WmiIjI5Wenm7bjh07VqzfB6CQCF0AAKAMMT1subi4qH79+mrZsqWioqLUrFkzvfHGGwX2bd26tSTp0KFDkiQ/Pz+lpKTY9ck99vPzu2ofT09Pubm5Ffg9rq6uthkSczcApUhu6Nq3Txo40D50/fOf0o4dZlcIAABgfti6XE5Oji5cuFBgW0JCgiSpdu3akqSQkBDt2rVLqamptj6xsbHy9PS0PYoYEhKidevW2V0nNjbW7r0wAGXUbbdJ//2vfehavlxq1YrQBQAATGdq2IqMjNTGjRt19OhR7dq1S5GRkdqwYYP69++vw4cPa9q0adqxY4eOHj2qZcuWadCgQWrfvr2aNm0qSerSpYsaN26sgQMHaufOnVq7dq1efPFFhYeHy9XVVZI0YsQIHTlyRBMmTND+/fs1d+5cffrppxo7dqyZtw6gKBG6AABAKWRq2EpNTdWgQYPUsGFDderUSdu3b9fatWt1//33y8XFRd988426dOmiRo0a6ZlnnlHPnj21fPly2+ednJy0YsUKOTk5KSQkRAMGDNCgQYP00ksv2foEBgZq5cqVio2NVbNmzTRr1iy99957Cg0NNeOWARQnQhcAAChFSt06W6UR62wBZdQvv0gvv2wslJy7Tle3bsY6Xa1amVsbAAAok8rkOlsAUORuu01atEjav18aNMgY6VqxQrrzTunBB6UffjC7QgAAUI4RtgCUfw0aELoAAECJI2wBqDgIXQAAoAQRtgBUPJeGrsGD7UNXt27S9u1mVwgAAMoBwhaAiqtBAykmxj50rVwp3XUXoQsAAPxthC0AuDx0OTkRugAAwN9G2AKAXIQuAABQhAhbAHC5+vXzQteQIfahKyxM2rbN7AoBAEAZQNgCgCupX19auNA+dK1aJbVuTegCAADXRNgCgGshdAEAgBtA2AKAwsoNXQcOSI8+euXQlZEhZWZKqanGnxkZ5tYNAABMQdgCgOtVr570n//kD12DB0t//ilFR0u+vnlbdLR0/rzZVQMAgBLmYLVarWYXUdpZLBZ5eXkpPT1dnp6eZpcDoLQ5fFh6+WXpoYeMGQunT8/fZ9IkacIEyd29xMsDAABF53qyAWGrEAhbAArlwgXJz09KS8vf5u0tpaRILi4lXRUAAChC15MNeIwQAIpKenrBQUsyzv/xh/TXXyVZEQAAMBFhCwCKire3sV2pzctLatZMioyUfv+9BAsDAABmIGwBQFHJypJGjy647amnpE2bpEOHpBkzpFtukQYMkHbsKNESAQBAySFsAUBRcXc3Rq0mTcob4fL2No6ff17q1En68kvp3nulixelxYulVq2M4y+/lLKzzasdAAAUOSbIKAQmyABwXTIypEqVjHe4vLyMEa/LZyH88Udp9mzp44+N4CUZU8o//bQxnbyHR8nXDQAAronZCIsYYQtAsfn9d+ntt6X586XTp41z3t7S8OHSqFFSQICp5QEAAHvMRggAZcVNN0mvvCIdOybNnSs1aGDMXBgdLQUGSv36GWt3AQCAMoewBQClgbu7NHKktH+/tHy51LGj8Q7XRx9Jd90l3XOPtHQp73UBAFCGELYAoDRxdJS6dZO+/Vb66Sdp0CDj/a/vv5d69JBuu0164w3pzBmzKwUAANdA2AKA0qp5c2nRIunoUemFF6Tq1aUjR6QxY6Q6daRnn5WSkkwuEgAAXAlhCwBKO39/afp0472uefOkhg0li0WaNUu69VapTx9p61azqwQAAJchbAFAWVGlijRihLR3r7RihbFuV3a29MknUps2Urt20uef500lDwAATEXYAoCyxtFRCguTvvlGSkiQhgyRXFykzZulRx4xZjScPdsY/QIAAKYhbAFAWdasmbRwofTrr9LEiVKNGsY7XuPGGe91jRtnHAMAgBJH2AKA8sDPT3rpJeO9rgULpKAgY8bC2bOlevWMEa/4eLOrBACgQiFsAUB54uYmDRsm7d4trV4t3X+/lJNjvMvVtq0UEiJ9+invdQEAUAIIWwBQHjk6Sv/4h/T119LPP0uPPWa817Vli/SvfxmjXbNmSenpZlcKAEC5RdgCgPIuOFh6/31jTa7Jk6VatYz9Z5813usaM8ZYvwsAABQpwhYAVBS+vtKUKcZkGu++KzVuLJ09K73xhjGDYc+e0qZNktVqdqUAAJQLhC0AqGjc3KShQ433utaskUJDjfe6vvhCuvtuqXVr6eOPpawssysFAKBMMzVszZs3T02bNpWnp6c8PT0VEhKi1atX29rPnz+v8PBw1ahRQx4eHurZs6dSUlLsrpGUlKSwsDBVqVJFPj4+Gj9+vC5e9uL3hg0b1KJFC7m6uqp+/fqKiYkpidsDgNLNwcEIWmvWGMFr6FDJ1VXavl3q21e69Vbp1VeltDSzKwUAoEwyNWzVqVNHM2bM0I4dO/TDDz/ovvvuU/fu3bVnzx5J0tixY7V8+XJ99tlniouL0/Hjx9WjRw/b57OzsxUWFqbMzExt3rxZixYtUkxMjCZNmmTrk5iYqLCwMHXs2FEJCQkaM2aMhg4dqrVr15b4/QJAqXX77cajhUlJ0tSpko+P9Ntv0oQJxntdo0dLhw+bXSUAAGWKg9Vauh7Or169ul599VX16tVLtWrV0pIlS9SrVy9J0v79+xUUFKT4+Hi1adNGq1evVrdu3XT8+HH5+vpKkubPn6+IiAidPHlSLi4uioiI0MqVK7V7927bd/Tp00dpaWlas2ZNoWqyWCzy8vJSenq6PD09i/6mAaC0OX9e+ugj6bXXjFEvyRgJ697dWCj57ruNYwAAKpjryQal5p2t7Oxsffzxx8rIyFBISIh27NihrKwsde7c2danUaNGuvnmmxX/v4U54+PjFRwcbAtakhQaGiqLxWIbHYuPj7e7Rm6f+Kss7nnhwgVZLBa7DQAqlMqVpUcfNaaNj42VunY1Js748kupfXvpzjulJUt4rwsAgKswPWzt2rVLHh4ecnV11YgRI7R06VI1btxYycnJcnFxkbe3t11/X19fJScnS5KSk5PtglZue27b1fpYLBadO3euwJqioqLk5eVl2wICAoriVgGg7HFwkDp3llatkvbulYYPN4LYjh1S//5SYKA0c6Z0+rTZlQIAUOqYHrYaNmyohIQEbd26VSNHjtTgwYO1d+9eU2uKjIxUenq6bTt27Jip9QBAqRAUJL3zjvFe17RpxlTyv/8uPfec8V7XqFHSwYNmVwkAQKlhethycXFR/fr11bJlS0VFRalZs2Z644035Ofnp8zMTKVdNgtWSkqK/Pz8JEl+fn75ZifMPb5WH09PT7m5uRVYk6urq22GxNwNAPA/tWpJL75orNe1cKHUtKn011/S229LDRsa73XFxbFeFwCgwjM9bF0uJydHFy5cUMuWLVWpUiWtW7fO1nbgwAElJSUpJCREkhQSEqJdu3YpNTXV1ic2Nlaenp5q3Lixrc+l18jtk3sNAMANcnWVhgyREhKkb76RwsKMgLVsmdShg9SypfThh1JmpsmFAgBgDlNnI4yMjFTXrl11880368yZM1qyZIlmzpyptWvX6v7779fIkSO1atUqxcTEyNPTU0899ZQkafPmzZKMSTWaN28uf39/RUdHKzk5WQMHDtTQoUP1yiuvSDKmfm/SpInCw8P12GOP6dtvv9Xo0aO1cuVKhYaGFqpOZiMEgELav1964w1p0SIp973Y2rWlp56SnnhCql7d3PoAAPibricbmBq2Hn/8ca1bt04nTpyQl5eXmjZtqoiICN1///2SjEWNn3nmGX300Ue6cOGCQkNDNXfuXNsjgpL066+/auTIkdqwYYPc3d01ePBgzZgxQ87OzrY+GzZs0NixY7V3717VqVNHEydO1JAhQwpdJ2ELAK7TqVPG+11vvSWdOGGcc3MzRsLGjJFuu83M6gAAuGFlJmyVFYQtALhBmZnSJ58Y63UlJOSd79bNWK+rQwfW6wIAlCllcp0tAEA55OIiDRwo/fijtH699OCDxvkVK6T77pPuuEP673/z3uvKyDD2U1ONPzMyzKsdAIC/ibAFACh+Dg7GKNayZdKBA9KTTxqPFe7cKQ0ebKzllZ4uRUcbU8rnbtHR0vnzZlcPAMAN4THCQuAxQgAoBn/+KS1YIL35pjR3rvTDD9L06fn7TZokTZggubuXfI0AAFyGd7aKGGELAIpRZqaUk2PMWnjZ2oqSJG9vKSXFeCQRAACT8c4WAKDscHGRLJaCg5ZknD9xQpo2TYqNlbKySrI6AABuGGELAGA+b29ju1JbzZrSnDlSly6Sj4/xntdXX+Wt5QUAQClE2AIAmC8rSxo9uuC20aONdbsefliqVcsY6frvf6WHHjKOe/eWPv7YGB0DAKAU4Z2tQuCdLQAoAefPS1FRxghWWpoxojV6tBQZKVWubPTJzpY2bZK++MLYjh3L+7yLi3T//VLPnsYU8zVrmnEXAIByjgkyihhhCwBKSEaGVKmSMQ28l5cx4nWlWQitVmnHDun//s/YDh7Ma3Nyku69V+rRwxgBu+mmEikfAFD+EbaKGGELAEo5q1XauzdvxCshwb49JMQIXg8/LNWrZ0qJAIDygbBVxAhbAFDGHD4sLV1qBK/4ePu2Zs2M4NWjh3T77caCywAAFBJhq4gRtgCgDDt+XPrySyN4bdhgvPeV67bb8oJXq1YELwDANRG2ihhhCwDKiT/+kJYvN4LX118bCyrnCggwHjPs0UO6+27jvS8AAC5D2CpihC0AKIcsFmn1amNyjVWrjMk5ctWqZUys0aOHdN99xkyHAACIsFXkCFsAUM6dOyfFxhojXsuWSadP57V5eUnduhlTyoeGSlWqmFcnAMB0hK0iRtgCgAokK0uKizNGvJYulVJS8trc3KSuXY0Rr27djCAGAKhQCFtFjLAFABVUdra0ZUvelPJHj+a1Vaokde5sBK9//lPy8TGtTABAySFsFTHCFgBAVquxftcXXxijXvv25bU5Okr33JO3lldAgGllAgCKF2GriBG2AAD57NuXt5bXjh32bXfdlTelfIMG5tQHACgWhK0iRtgCAFzV0aPGWl7/93/Spk3GKFiuJk2M0NWzpxQczFpeAFDGEbaKGGELAFBoycnSV18ZI17ffitdvJjXVq9e3ojXXXcZjx8CAMoUwlYRI2wBAG7I6dN5iyivXSudP5/XdtNNeYso33OP5OxsXp0AgEIjbBUxwhYA4G87e1Zas8YIXitWSGfO5LXVqCF1724Er86dJVdX8+oEAFwVYauIEbYAAEXq/Hlp3TojeH31lXTqVF5b1arGGl49ekj/+Ifk4WFenQCAfAhbRYywBQAoNhcvSt99l7eW1/HjeW2VK0uhoUbwevBBqVo18+oEAEgibBU5whYAoETk5EjbtuWt5XXkSF6bs7N0331G8OreXfLzy2vLyDAWWU5Lk7y9pawsyd29pKsHgArherIB0yABAFBaODpKbdpI0dHSoUPSzp3S5MnG9PEXL0pffy2NGCH5+xuTaixaJP31l9Hf1zdvi462n4wDAGAKRrYKgZEtAIDpfvklbxHlbduMc19+Kf3wgzR9ev7+kyZJEyYwwgUARYzHCIsYYQsAUKocO2bMbNi/vzGFfFpa/j7e3tLvv0tPPy15eUl16thvfn5MNw8AN+B6sgH/lAUAoKwJCJCGDZNSUwsOWpJxPjVV2rJF2r07f7uTk1S7dv4Qdunm72+8CwYAuCGELQAAyipvb2O70siWn58UHi4dPCj99puxHTtmzHiYnZ137kocHIxrXC2Q3XQT64IBwBUQtgAAKKuysqTRo6WXXsrfNnq0EahGjMjflp0tpaTkha3Lt2PHjEcQs7KkEyeMbfv2K9fh43P1QFanjuTmVnT3DQBlBO9sFQLvbAEASq3z56WoKGnOnLyp30ePliIjjXW6blROjnTy5JUDWe5W2FkPa9S4diBjAWcAZQATZBQxwhYAoFTLXWcrPd2YDKOk1tmyWqVTp64exo4dM6anLwxv76uHsYAAqSj/f5j1yQDcgDITtqKiovTFF19o//79cnNzU9u2bTVz5kw1bNjQ1qdDhw6Ki4uz+9wTTzyh+fPn246TkpI0cuRIrV+/Xh4eHho8eLCioqLkfMksSxs2bNC4ceO0Z88eBQQE6MUXX9SQIUMKVSdhCwCAG2S1GmHmWiNkFkvhrle16tXDWJ06RnBycLj6dYprRBBAuVdmZiOMi4tTeHi47rzzTl28eFHPP/+8unTpor1798r9kv+yNGzYML10yfPoVapUse1nZ2crLCxMfn5+2rx5s06cOKFBgwapUqVKeuWVVyRJiYmJCgsL04gRI7R48WKtW7dOQ4cOVe3atRUaGlpyNwwAQEXj4CBVq2ZswcFX7mexGO+JHTt25UB2+rR05oy0b5+xXUmVKlcPZLfcIs2ebf+uW1pa3jHrkwEoIqXqMcKTJ0/Kx8dHcXFxat++vSRjZKt58+Z6/fXXC/zM6tWr1a1bNx0/fly+vr6SpPnz5ysiIkInT56Ui4uLIiIitHLlSu2+ZOrbPn36KC0tTWvWrLlmXYxsAQBQCmRkXDuQ/fHH1a9Rs6Z09KgRvK40i2NKiuTiUgw3AKA8KDMjW5dLT0+XJFWvXt3u/OLFi/Xhhx/Kz89PDz74oCZOnGgb3YqPj1dwcLAtaElSaGioRo4cqT179uiOO+5QfHy8OnfubHfN0NBQjRkzpsA6Lly4oAsXLtiOLYV9tAEAABQfd3fpttuM7UrOnTOmts99X+zyMObhce31yVJSpO+/l26/XWrSRHJ0LI67AVABlJqwlZOTozFjxqhdu3Zq0qSJ7Xy/fv1Ut25d+fv76+eff1ZERIQOHDigL774QpKUnJxsF7Qk2Y6Tk5Ov2sdisejcuXNyu2w62qioKE2dOrXI7xEAABQzNzepXj1ju5LMzKuvT1a9uvH+1h9/GI8/3nOP1L69dO+9UvPmknOp+dcnAKVcqfmnRXh4uHbv3q3vv//e7vzw4cNt+8HBwapdu7Y6deqkw4cPq97V/kH6N0RGRmrcuHG2Y4vFooCAgGL5LgAAUMKutT5ZYqLUooW0aZPxntiyZcYmGRN0tGuXF75ateKRQwBXVCrC1qhRo7RixQpt3LhRderUuWrf1q1bS5IOHTqkevXqyc/PT9u2bbPrk5KSIkny8/Oz/Zl77tI+np6e+Ua1JMnV1VWurq43fD8AAKAUc3c3Zh2Urjwb4dq1Rij76Sdp40YpLk767jtjev01a4xNMkbS2rQxglf79sY+CzgD+B9Tw5bVatVTTz2lpUuXasOGDQoMDLzmZxISEiRJtWvXliSFhITo5ZdfVmpqqnx8fCRJsbGx8vT0VOPGjW19Vq1aZXed2NhYhYSEFOHdAACAMqNyZWPWwRdesF+f7NJp3ytVku66y9iefVbKzpZ27zaC18aNxnbypLR+vbFd+pncka+2bY3RMAAVkqmzET755JNasmSJvvrqK7u1tby8vOTm5qbDhw9ryZIleuCBB1SjRg39/PPPGjt2rOrUqWNbeys7O1vNmzeXv7+/oqOjlZycrIEDB2ro0KF2U783adJE4eHheuyxx/Ttt99q9OjRWrlyZaGmfmc2QgAAkI/VKu3fnxe+4uKMyTku5eRkPJLYvr2x3XOP8R4YgDKrzCxq7HCFBQcXLlyoIUOG6NixYxowYIB2796tjIwMBQQE6OGHH9aLL75od2O//vqrRo4cqQ0bNsjd3V2DBw/WjBkz8i1qPHbsWO3du1d16tTRxIkTWdQYAAAUHatVOnIkL3ht3Gi8/3UpBwdjvbHcxw7bt5f+92QOgLKhzIStsoKwBQAAbsixY3mPHMbFSQcO5O/TqFHeY4ft2xtrgAEotQhbRYywBQAAikRKSl742rhR+vnn/H0CA/OC1733GsdXeBoIQMkjbBUxwhYAACgWf/5pLKCcO/L1449STo59n5tush/5atSI8AWYiLBVxAhbAACgRFgs0ubNeSNf27YZsyReqlYt+/AVHCw5OppTL1ABEbaKGGELAACY4q+/pK1b8ybciI+Xzp+37+PtbcxymBvA7rhDci4VS6kC5RJhq4gRtgAAQKlw4YL0ww95jx1u2iSdPWvfx8PDWN8rd+TrzjslV1dz6gXKIcJWESNsAQCAUuniRemnn/IeO/zuO+n0afs+lStLbdrkha82baQqVcypFygHCFtFjLAFAADKhJwcaffuvMcON26UUlPt+1SqZIx25T522LatxL/fAIVG2CpihC0AAFAmWa3G2l65jx3GxUm//27fx9HReM8rd+Trnnuk6tWvft2MDCO0paUZ74xlZUnu7sV1F0CpQtgqYoQtAABQLlitUmKi/ULLR47k7xccnDfydc89kp9fXtv581JUlDRnTl7YGj1aiow0HlkEyjnCVhEjbAEAgHLrt9/sw9f+/fn7NGxohK8JE6QPPpBeeil/n0mTjHZGuFDOEbaKGGELAABUGKmpxkQbue99/fyzMSJWs6Z09KhUp44xonU5b28pJUVycSnhgoGSdT3ZgEUYAAAAkMfHR+rZ09gkY3bD77+XfvlF+uOPgoOWZJxPTpYWLJCqVpUaN5aCgqTAQMnJqaSqB0oVwhYAAACurFo16cEHjf3MTGME60ojWzVqSO+8Y4SyXK6uUqNGRvDKDWCNG0v16zMKhnKPsAUAAIDCycoyJsMo6J2t0aONxwifflrau1fat894/+v8eWnnTmO7lLOzEbguDWBBQcb7YawDhnKCd7YKgXe2AAAA/ud6ZiPMzjbe89q3Ly+A7d1rbGfPFnx9Bwfj0cPLR8KCglgPDKUCE2QUMcIWAADAJXLX2UpPl7y8rn+dLavVWO/r0gC2b5+0Z4/0559X/txNN+UPYI0bG5N3ACWEsFXECFsAAAAlwGqVTp4seCTsxIkrf65mTSN0XR7E/P2NkTKgCBG2ihhhCwAAwGRpaUb4ujyIHT165c94euaFr0uDWN26kqNjSVWOcoawVcQIWwAAAKVURoZ04ED+RxIPHTLeGSuIm5sxQ+LlI2H16hmPRwJXQdgqYoQtAACAMubCBengwfwjYQcOGFPYF6RSJalBg/wjYbfdln/yD1RYhK0iRtgCAAAoJy5elBIT84+E7dtnjJIVxNFRuvXW/I8kNmpkLOBcWLkTi+TO4ni9E4ugVCBsFTHCFgAAQDmXkyMdO1bw5BwFLeKcKyDAfhQsd796dft+1zNlPko1wlYRI2wBAABUUFarsVjz5SNhe/ca56/E1zcvgD31lLRkiTRtWv5+kyZJEyYwwlWGELaKGGELAAAA+fz5Z/4Atm+flJSU16dmTWPGxDp1Ch4h8/Y2prXftMnoe9NNUo0aTFlfil1PNnAuoZoAAACA8qV6daldO2O71Jkz0v79RvA6dcrYrvQoYlqalJwsjRkj7d5tnHNxkWrXNtYJu+km48/L9/39jantUaoRtgAAAICiVLWqdOedxiYZsx96e195ZMvHxxjVqlXLWNQ5M1P69VdjuxoPD/vwVVAwq12bd8JMRNgCAAAAilNWljEZxksv5W8bPdp4L2z9euM4M9MY6fr9d+n48bzt8uP0dOnsWemXX4ztaqpXzz8qdnkw8/GRnIkGRY1fFAAAAChO7u7GrIPStWcjdHGRbr7Z2K7m7FnjXa+Cwtil++fPG++W/fmntGvXla/n6GhM6lHQ44qXHvM+2XVhgoxCYIIMAAAA/G2562ylp0teXsW/zpbVagS7a42SnTghZWcX7pouLlcOYpceX8/6Y9dSytYnYzbCIkbYAgAAQLmVnW28K3atUbKTJwt/zdz3ya42wYe/v+TqevXrlML1yQhbRYywBQAAgAovM9P+0cWCRsl+/12yWAp/zRo1rjxCdued0vz5Bb/rZuL6ZIStIkbYAgAAAAop932yqz2++Pvv0oULV75GYdYnS0kxHmssYayzBQAAAMAcHh5SgwbGdiVWq3T69JXDmJub8dji1dYnS083pssvxQhbAAAAAEqWg4MxJX316lKTJgX3udb6ZF5exVhg0XA088ujoqJ05513qmrVqvLx8dFDDz2kAwcO2PU5f/68wsPDVaNGDXl4eKhnz55KSUmx65OUlKSwsDBVqVJFPj4+Gj9+vC5evGjXZ8OGDWrRooVcXV1Vv359xcTEFPftAQAAALhRueuTFWT0aKO9lDM1bMXFxSk8PFxbtmxRbGyssrKy1KVLF2VkZNj6jB07VsuXL9dnn32muLg4HT9+XD169LC1Z2dnKywsTJmZmdq8ebMWLVqkmJgYTZo0ydYnMTFRYWFh6tixoxISEjRmzBgNHTpUa9euLdH7BQAAAFBIueuTTZpkjGRJxp+TJhnnTZz+vbBK1QQZJ0+elI+Pj+Li4tS+fXulp6erVq1aWrJkiXr16iVJ2r9/v4KCghQfH682bdpo9erV6tatm44fPy5fX19J0vz58xUREaGTJ0/KxcVFERERWrlypXbv3m37rj59+igtLU1r1qy5Zl1MkAEAAACYpKTXJ7uG68kGpo5sXS49PV2SVL16dUnSjh07lJWVpc6dO9v6NGrUSDfffLPi4+MlSfHx8QoODrYFLUkKDQ2VxWLRnj17bH0uvUZun9xrXO7ChQuyWCx2GwAAAAATuLsbsw7WqmX8WQZGtHKVmrCVk5OjMWPGqF27dmryv5fkkpOT5eLiIu/cYcP/8fX1VXJysq3PpUErtz237Wp9LBaLzp07l6+WqKgoeXl52baAgIAiuUcAAAAAFUepCVvh4eHavXu3Pv74Y7NLUWRkpNLT023bsWPHzC4JAAAAQBlTKqZ+HzVqlFasWKGNGzeqTp06tvN+fn7KzMxUWlqa3ehWSkqK/Pz8bH22bdtmd73c2Qov7XP5DIYpKSny9PSUm5tbvnpcXV3l6upaJPcGAAAAoGIydWTLarVq1KhRWrp0qb799lsFBgbatbds2VKVKlXSunXrbOcOHDigpKQkhYSESJJCQkK0a9cupaam2vrExsbK09NTjRs3tvW59Bq5fXKvAQAAAABFzdTZCJ988kktWbJEX331lRo2bGg77+XlZRtxGjlypFatWqWYmBh5enrqqaeekiRt3rxZkjH1e/PmzeXv76/o6GglJydr4MCBGjp0qF555RVJxtTvTZo0UXh4uB577DF9++23Gj16tFauXKnQ0NBr1slshAAAAACk68sGpoYtBweHAs8vXLhQQ4YMkWQsavzMM8/oo48+0oULFxQaGqq5c+faHhGUpF9//VUjR47Uhg0b5O7ursGDB2vGjBlyds57SnLDhg0aO3as9u7dqzp16mjixIm277gWwhYAAAAAqQyFrbKCsAUAAABAKsPrbAEAAABAeUHYAgAAAIBiQNgCAAAAgGJA2AIAAACAYlAqFjUu7XLnELFYLCZXAgAAAMBMuZmgMPMMErYK4cyZM5KkgIAAkysBAAAAUBqcOXNGXl5eV+3D1O+FkJOTo+PHj6tq1apXXBsMpZ/FYlFAQICOHTvGFP4odvx9Q0nj7xxKGn/nUJJK0983q9WqM2fOyN/fX46OV38ri5GtQnB0dFSdOnXMLgNFxNPT0/T/kaLi4O8bShp/51DS+DuHklRa/r5da0QrFxNkAAAAAEAxIGwBAAAAQDEgbKHCcHV11eTJk+Xq6mp2KagA+PuGksbfOZQ0/s6hJJXVv29MkAEAAAAAxYCRLQAAAAAoBoQtAAAAACgGhC0AAAAAKAaELQAAAAAoBoQtlHtRUVG68847VbVqVfn4+Oihhx7SgQMHzC4LFcSMGTPk4OCgMWPGmF0KyrHff/9dAwYMUI0aNeTm5qbg4GD98MMPZpeFcig7O1sTJ05UYGCg3NzcVK9ePU2bNk3Mt4aisnHjRj344IPy9/eXg4ODvvzyS7t2q9WqSZMmqXbt2nJzc1Pnzp118OBBc4otBMIWyr24uDiFh4dry5Ytio2NVVZWlrp06aKMjAyzS0M5t337dr3zzjtq2rSp2aWgHDt9+rTatWunSpUqafXq1dq7d69mzZqlatWqmV0ayqGZM2dq3rx5euutt7Rv3z7NnDlT0dHRevPNN80uDeVERkaGmjVrprfffrvA9ujoaM2ZM0fz58/X1q1b5e7urtDQUJ0/f76EKy0cpn5HhXPy5En5+PgoLi5O7du3N7sclFNnz55VixYtNHfuXE2fPl3NmzfX66+/bnZZKIeee+45bdq0Sd99953ZpaAC6Natm3x9ffX+++/bzvXs2VNubm768MMPTawM5ZGDg4OWLl2qhx56SJIxquXv769nnnlGzz77rCQpPT1dvr6+iomJUZ8+fUystmCMbKHCSU9PlyRVr17d5EpQnoWHhyssLEydO3c2uxSUc8uWLVOrVq30yCOPyMfHR3fccYfeffdds8tCOdW2bVutW7dOv/zyiyRp586d+v7779W1a1eTK0NFkJiYqOTkZLv/b/Xy8lLr1q0VHx9vYmVX5mx2AUBJysnJ0ZgxY9SuXTs1adLE7HJQTn388cf68ccftX37drNLQQVw5MgRzZs3T+PGjdPzzz+v7du3a/To0XJxcdHgwYPNLg/lzHPPPSeLxaJGjRrJyclJ2dnZevnll9W/f3+zS0MFkJycLEny9fW1O+/r62trK20IW6hQwsPDtXv3bn3//fdml4Jy6tixY3r66acVGxurypUrm10OKoCcnBy1atVKr7zyiiTpjjvu0O7duzV//nzCForcp59+qsWLF2vJkiW6/fbblZCQoDFjxsjf35+/b0ABeIwQFcaoUaO0YsUKrV+/XnXq1DG7HJRTO3bsUGpqqlq0aCFnZ2c5OzsrLi5Oc+bMkbOzs7Kzs80uEeVM7dq11bhxY7tzQUFBSkpKMqkilGfjx4/Xc889pz59+ig4OFgDBw7U2LFjFRUVZXZpqAD8/PwkSSkpKXbnU1JSbG2lDWEL5Z7VatWoUaO0dOlSffvttwoMDDS7JJRjnTp10q5du5SQkGDbWrVqpf79+yshIUFOTk5ml4hypl27dvmWs/jll19Ut25dkypCefbXX3/J0dH+Xx+dnJyUk5NjUkWoSAIDA+Xn56d169bZzlksFm3dulUhISEmVnZlPEaIci88PFxLlizRV199papVq9qe6fXy8pKbm5vJ1aG8qVq1ar73Ad3d3VWjRg3eE0SxGDt2rNq2batXXnlFvXv31rZt27RgwQItWLDA7NJQDj344IN6+eWXdfPNN+v222/XTz/9pNdee02PPfaY2aWhnDh79qwOHTpkO05MTFRCQoKqV6+um2++WWPGjNH06dPVoEEDBQYGauLEifL397fNWFjaMPU7yj0HB4cCzy9cuFBDhgwp2WJQIXXo0IGp31GsVqxYocjISB08eFCBgYEaN26chg0bZnZZKIfOnDmjiRMnaunSpUpNTZW/v7/69u2rSZMmycXFxezyUA5s2LBBHTt2zHd+8ODBiomJkdVq1eTJk7VgwQKlpaXp7rvv1ty5c3XbbbeZUO21EbYAAAAAoBjwzhYAAAAAFAPCFgAAAAAUA8IWAAAAABQDwhYAAAAAFAPCFgAAAAAUA8IWAAAAABQDwhYAAAAAFAPCFgAAAAAUA8IWAAAAABQDwhYAVBBDhgzRQw89ZHfu5MmTatKkiVq3bq309HRzCgMAoJwibAFABXXy5Endd999cnNz09dffy0vLy+zSwIAoFwhbAFABfTHH3+oU6dOcnV1VWxsrF3QSkpKUvfu3eXh4SFPT0/17t1bKSkpdp8/evSoHBwc8m1paWmSpClTpqh58+a2/pmZmapfv75dn4JG2hwcHPTll1/ajo8dO6bevXvL29tb1atXV/fu3XX06FG7z/znP//R7bffLldXV9WuXVujRo2SJN1yyy0F1ujg4KCYmBjb9+Vunp6euv/++3X48GHbtU+fPq1BgwapWrVqqlKlirp27aqDBw9e9be99B6sVqsGDRqkpk2b6vTp04X+/Q4fPqzu3bvL19dXHh4euvPOO/XNN9/Yfc+FCxcUERGhgIAAubq6qn79+nr//feveO3cLff32717t7p27SoPDw/5+vpq4MCB+uOPP2zX79Chg0aNGqVRo0bJy8tLNWvW1MSJE2W1Wgv9+8TExNi+18nJSf7+/oqIiFBOTs5Vf0MAKC8IWwBQwZw6dUqdO3eWs7OzYmNj5e3tbWvLyclR9+7d9eeffyouLk6xsbE6cuSI/vWvf9ldI/dfuL/55hudOHFC//d//3fV73zrrbfyBbZrycrKUmhoqKpWrarvvvtOmzZtkoeHh/7xj38oMzNTkjRv3jyFh4dr+PDh2rVrl5YtW6b69etLkrZv364TJ07oxIkTqlOnjl5//XXb8aX3s3DhQp04cUIbN25Uamqqnn/+eVvbkCFD9MMPP2jZsmWKj4+X1WrVAw88oKysrELdw+jRo7V582Z9/fXXqlatmu38tX6/s2fP6oEHHtC6dev0008/6R//+IcefPBBJSUl2foMGjRIH330kebMmaN9+/bpnXfekYeHhwICAmz3uW3bNknStm3bbOcCAgKUlpam++67T3fccYd++OEHrVmzRikpKerdu7ddHYsWLZKzs7O2bdumN954Q6+99pree++96/p9PD09deLECSUlJWn27NmKjo7W2rVrC/X7AUCZZwUAVAiDBw+2tm/f3tq8eXNrpUqVrG3atLFevHjRrs/XX39tdXJysiYlJdnO7dmzxyrJum3bNtu5AwcOWCVZd+/ebbVardb169dbJVlPnz5ttVqt1smTJ1ubNWtmtVqt1lOnTlmrVatmnTZtml2fESNGWLt06WL3/ZKsS5cutVqtVusHH3xgbdiwoTUnJ8fWfuHCBaubm5t17dq1VqvVavX397e+8MIL17z3unXrWhcuXJjv/KXfl5aWZm3Xrp112LBhVqvVav3ll1+skqybNm2y9f/jjz+sbm5u1k8//fSK35V7zRdeeMF60003WRMTE/P1udbvV5Dbb7/d+uabb9p9PjY29qr3nZiYaJWUr4Zp06bl++2PHTtmlWQ9cOCA1Wq1Wu+9915rUFCQ3e8fERFhDQoKslqthft9Fi5caPXy8rK1b9261ero6Gj3GQAozxjZAoAKZOPGjcrJyVFCQoIOHTqk6Ohou/Z9+/YpICBAAQEBtnONGzeWt7e39u3bZztnsVgkSe7u7tf8zpdeekkdO3bU3XffbXe+SZMm2rJlixITEwv83M6dO3Xo0CFVrVpVHh4e8vDwUPXq1XX+/HkdPnxYqampOn78uDp16lTo+y9I37595eHhoWrVqunMmTOKioqSZPwWzs7Oat26ta1vjRo11LBhQ7vfoiBvvfWWXn75ZTVs2FC33HJLvvZr/X5nz57Vs88+q6CgIHl7e8vDw0P79u2zjWwlJCTIyclJ9957743csnbu3Kn169fbflcPDw81atRIkuweo2zTpo0cHBxsxyEhITp48KCys7ML/fukp6fLw8NDbm5uatOmjSIiItS2bdsbqhsAyhpnswsAAJScW2+9VevWrVPNmjU1d+5cDRgwQGFhYWratOl1Xef48eNydHSUn5/fVfsdPHhQ7733nhISEvTbb7/ZtT322GNaunSpbr311gJDx9mzZ9WyZUstXrw4X1utWrXk6Fg0/71w9uzZ6ty5s9LS0vTCCy9oyJAhWr58+d+65rZt27Rq1SoNGTJE77zzjp544gm79mv9fs8++6xiY2P173//W/Xr15ebm5t69eple3zSzc3tb9V39uxZPfjgg5o5c2a+ttq1a/+ta1+uatWq+vHHH2W1WrVnzx499thjatmypXr27Fmk3wMApREjWwBQgQQHB6tmzZqSpEceeUQ9evTQoEGDbP8SHxQUpGPHjunYsWO2z+zdu1dpaWlq3Lix7dz27dvVqFEjVa5c+arfFxERoaFDh9reo7qUm5ubvvnmGyUnJyshIUEJCQl27S1atNDBgwfl4+Oj+vXr221eXl6qWrWqbrnlFq1bt+5Gfw5Jkp+fn+rXr69WrVrpqaee0sqVK5WVlaWgoCBdvHhRW7dutfU9deqUDhw4YPdbFOT1119X165dNXfuXI0fP97uXSvp2r/fpk2bNGTIED388MMKDg6Wn5+f3cQgwcHBysnJUVxc3A3dc4sWLbRnzx7dcsst+X7bS4PvpfcuSVu2bFGDBg3k5ORU6N/H0dFR9evXV4MGDfTQQw/pvvvu09KlS2+obgAoawhbAFCBvf3220pNTdXUqVMlSZ07d1ZwcLD69++vH3/8Udu2bdOgQYN07733qlWrVsrMzNQHH3yg1157TY8++uhVr33o0CFt2LBBkyZNumo/X19f27/oX6p///6qWbOmunfvru+++06JiYnasGGDRo8ebRslmzJlimbNmqU5c+bo4MGD+vHHH/Xmm29e12+Qlpam5ORkHThwQO+//75uvfVWVapUSQ0aNFD37t01bNgwff/999q5c6cGDBigm266Sd27d7/qNatXry5J6tmzpx544AENHTpUkgr9+zVo0EBffPGFEhIStHPnTvXr189uBr9bbrlFgwcP1mOPPaYvv/zS9tt8+umnhbrn8PBw/fnnn+rbt6+2b9+uw4cPa+3atXr00UeVnZ1t65eUlKRx48bpwIED+uijj/Tmm2/q6aefttVYmN/HarUqOTlZJ06c0Pr16xUXF2d7ZBEAyjvCFgBUYNWrV9e7776rmTNnauvWrXJwcNBXX32latWqqX379urcubNuvfVWffLJJ5KkXbt2acqUKZo4caLGjRt31WtnZGTohRdesAWP61WlShVt3LhRN998s3r06KGgoCA9/vjjOn/+vDw9PSVJgwcP1uuvv665c+fq9ttvV7du3a45NfvlHn30UdWuXVt33nmnTp8+rc8//9zWtnDhQrVs2VLdunVTSEiIrFarVq1apUqVKhX6+m+99ZZ27typBQsWFPr3e+2111StWjW1bdtWDz74oEJDQ9WiRQu7PvPmzVOvXr305JNPqlGjRho2bJgyMjIKVZO/v782bdqk7OxsdenSRcHBwRozZoy8vb3tHs8cNGiQzp07p7vuukvh4eF6+umnNXz48Ov6fSwWi2rXrq2bbrpJ/fr10yOPPKLx48cX9ucDgDLNwWq9ZMEMAAAAGetsNW/eXK+//rrZpQBAmcXIFgAAAAAUA8IWAAAAABQDHiMEAAAAgGLAyBYAAAAAFAPCFgAAAAAUA8IWAAAAABQDwhYAAAAAFAPCFgAAAAAUA8IWAAAAABQDwhYAAAAAFAPCFgAAAAAUg/8HD42RCSH/0mUAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# строим график зависимости внутрикластерной суммы\n",
        "# квадратов от количества кластеров\n",
        "plt.figure(figsize=(10, 5))\n",
        "sns.lineplot(x=range(1, 11), y=wcss_lst, marker='o', color='red')\n",
        "plt.title(\"Метод локтя\")\n",
        "plt.xlabel(\"Количество кластеров\")\n",
        "plt.ylabel(\"WCSS\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m-iB5Kq21rBz",
        "outputId": "520a59e5-6505-489d-e8c9-d350e1d7f890"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "np.int64(4)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "# оптимальное количество кластеров определяем\n",
        "# с помощью класса KneeLocator библиотеки kneed\n",
        "kl = KneeLocator(range(1, 11), wcss_lst,\n",
        "                 curve='convex', direction='decreasing')\n",
        "kl.elbow"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "T6Cxgvme1rB5"
      },
      "outputs": [],
      "source": [
        "# построим модель с 4 кластерами\n",
        "kmeans = KMeans(n_clusters=4, random_state=4)\n",
        "# получаем метки кластеров\n",
        "labels = kmeans.fit_predict(scal_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W7ffL1L71rB5",
        "outputId": "721efbe8-934c-4dce-f873-cee991214d1f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{np.int32(0): np.int64(150),\n",
              " np.int32(1): np.int64(490),\n",
              " np.int32(2): np.int64(108),\n",
              " np.int32(3): np.int64(102)}"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "# посмотрим количество наблюдений в каждом кластере\n",
        "unique, counts = np.unique(labels, return_counts=True)\n",
        "dict(zip(unique, counts))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "7dQwAFe11rB5",
        "outputId": "409f2f26-0633-4bd1-bb3e-f3defdb9c53b"
      },
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "   Age  Edu  Years Employed  Income  Card Debt  Other Debt  DebtIncomeRatio  \\\n",
              "0   41    2               6      19      0.124       1.073              6.3   \n",
              "1   47    1              26     100      4.582       8.218             12.8   \n",
              "2   33    2              10      57      6.111       5.802             20.9   \n",
              "3   29    2               4      19      0.681       0.516              6.3   \n",
              "4   47    1              31     253      9.308       8.908              7.2   \n",
              "\n",
              "   Cluster_id  \n",
              "0           1  \n",
              "1           2  \n",
              "2           0  \n",
              "3           1  \n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 850,\n  \"fields\": [\n    {\n      \"column\": \"Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8,\n        \"min\": 20,\n        \"max\": 56,\n        \"num_unique_values\": 37,\n        \"samples\": [\n          23,\n          43,\n          40\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Edu\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 5,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1,\n          5,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Years Employed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6,\n        \"min\": 0,\n        \"max\": 33,\n        \"num_unique_values\": 33,\n        \"samples\": [\n          28,\n          19,\n          15\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Income\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 38,\n        \"min\": 13,\n        \"max\": 446,\n        \"num_unique_values\": 129,\n        \"samples\": [\n          15,\n          70,\n          43\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Card Debt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.125843273256507,\n        \"min\": 0.012,\n        \"max\": 20.561,\n        \"num_unique_values\": 727,\n        \"samples\": [\n          1.21,\n          0.447,\n          1.916\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Other Debt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.3987988045071202,\n        \"min\": 0.046,\n        \"max\": 35.197,\n        \"num_unique_values\": 788,\n        \"samples\": [\n          3.0210000000000004,\n          7.162999999999999,\n          1.877\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"DebtIncomeRatio\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.719441292022335,\n        \"min\": 0.1,\n        \"max\": 41.3,\n        \"num_unique_values\": 245,\n        \"samples\": [\n          13.5,\n          6.6,\n          6.9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Cluster_id\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          2,\n          3,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "# добавляем переменную с метками кластеров\n",
        "data['Cluster_id'] = labels\n",
        "data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
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        "id": "PQZhwOge1rB_",
        "outputId": "b8947dd9-4b5d-4d28-947e-8974c8d1f993"
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        {
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            "text/plain": [
              "                  Age       Edu  Years Employed      Income  Card Debt  \\\n",
              "Cluster_id                                                               \n",
              "0           35.073333  1.646667        8.573333   41.720000   2.987167   \n",
              "1           33.128571  1.316327        6.969388   33.171429   0.728308   \n",
              "2           45.009259  1.953704       19.157407  119.000000   4.021898   \n",
              "3           33.529412  3.441176        5.009804   42.254902   0.990059   \n",
              "\n",
              "            Other Debt  DebtIncomeRatio  \n",
              "Cluster_id                               \n",
              "0             5.232433        20.208000  \n",
              "1             1.541276         7.395102  \n",
              "2             7.922343        10.767593  \n",
              "3             2.169157         8.119608  "
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              "      <td>35.073333</td>\n",
              "      <td>1.646667</td>\n",
              "      <td>8.573333</td>\n",
              "      <td>41.720000</td>\n",
              "      <td>2.987167</td>\n",
              "      <td>5.232433</td>\n",
              "      <td>20.208000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>33.128571</td>\n",
              "      <td>1.316327</td>\n",
              "      <td>6.969388</td>\n",
              "      <td>33.171429</td>\n",
              "      <td>0.728308</td>\n",
              "      <td>1.541276</td>\n",
              "      <td>7.395102</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>45.009259</td>\n",
              "      <td>1.953704</td>\n",
              "      <td>19.157407</td>\n",
              "      <td>119.000000</td>\n",
              "      <td>4.021898</td>\n",
              "      <td>7.922343</td>\n",
              "      <td>10.767593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>33.529412</td>\n",
              "      <td>3.441176</td>\n",
              "      <td>5.009804</td>\n",
              "      <td>42.254902</td>\n",
              "      <td>0.990059</td>\n",
              "      <td>2.169157</td>\n",
              "      <td>8.119608</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-69bb65cc-3489-45ba-b0e3-18e72e5ab3f2')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  <style>\n",
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              "      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",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        document.querySelector('#df-69bb65cc-3489-45ba-b0e3-18e72e5ab3f2 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-69bb65cc-3489-45ba-b0e3-18e72e5ab3f2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "  </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",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --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",
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              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      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-20c8efe2-587d-4947-9472-0aec699fb49e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"Cluster_id\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1,\n          3,\n          0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.612387574859911,\n        \"min\": 33.128571428571426,\n        \"max\": 45.00925925925926,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          33.128571428571426,\n          33.529411764705884,\n          35.07333333333333\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Edu\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9379709459070289,\n        \"min\": 1.316326530612245,\n        \"max\": 3.4411764705882355,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.316326530612245,\n          3.4411764705882355,\n          1.6466666666666667\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Years Employed\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.323477969243348,\n        \"min\": 5.009803921568627,\n        \"max\": 19.15740740740741,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          6.969387755102041,\n          5.009803921568627,\n          8.573333333333334\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Income\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 40.19165111159115,\n        \"min\": 33.17142857142857,\n        \"max\": 119.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          33.17142857142857,\n          42.254901960784316,\n          41.72\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Card Debt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.588234050794878,\n        \"min\": 0.7283081632653061,\n        \"max\": 4.021898148148148,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.7283081632653061,\n          0.9900588235294118,\n          2.9871666666666665\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Other Debt\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.950357588192889,\n        \"min\": 1.5412755102040816,\n        \"max\": 7.922342592592593,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          1.5412755102040816,\n          2.169156862745098,\n          5.232433333333334\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"DebtIncomeRatio\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5.904315480231044,\n        \"min\": 7.395102040816326,\n        \"max\": 20.208,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          7.395102040816326,\n          8.119607843137254,\n          20.208\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "# выводим средние значения переменных в каждом кластере\n",
        "data.groupby('Cluster_id').mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "bC9WC0TL1rB_",
        "outputId": "4fd351aa-0e12-4d9f-f9b5-2f3100b3521a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# построим диаграмму рассеяния для Income и DebtIncomeRatio\n",
        "plt.scatter(data.iloc[:, 3], data.iloc[:, 6], c=labels, alpha=0.5)\n",
        "plt.xlabel('Income', fontsize=16)\n",
        "plt.ylabel('DebtIncomeRatio', fontsize=16)\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "RqpiQFbe1rCA",
        "outputId": "e2d88d54-5550-4454-848a-c651fc5566f5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from mpl_toolkits.mplot3d import Axes3D  # Импортируем Axes3D\n",
        "# построим 3-D диаграмму рассеяния\n",
        "# для Income, Age и DebtIncomeRatio\n",
        "fig = plt.figure(figsize=(8, 6))\n",
        "ax = fig.add_subplot(111, projection='3d')  # Создаем 3D оси\n",
        "\n",
        "ax.set_xlabel('Income')\n",
        "ax.set_ylabel('Age')\n",
        "ax.set_zlabel('DebtIncomeRatio')\n",
        "\n",
        "# Предполагаем, что данные находятся в определенных столбцах\n",
        "ax.scatter(data.iloc[:, 3], data.iloc[:, 0], data.iloc[:, 6], c=labels)\n",
        "\n",
        "plt.show()"
      ]
    }
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