yakuniyAmaliyot_visualization.ipynb

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      "name": "yakuniyAmaliyot_visualization.ipynb",
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/bobur-amirov/DataScienceExample/blob/main/yakuniyAmaliyot_visualization.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "markdown",
      "source": [
        "![Imgur](https://i.imgur.com/5pXzCIu.png)\n",
        "\n",
        "# Data Science va Sun'iy Intellekt Praktikum\n",
        "\n",
        "## 4-MODUL. VIZUALIZASIYA\n",
        "\n",
        "## Yakuniy amaliyot. `matplotlib`\n"
      ],
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        "id": "NH59l9byvNyt"
      }
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      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "kr8VZeHIrvu_"
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import seaborn as sns\n",
        "sns.set()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "XYZ kompaniyasi taxminan 4000 ishchi xodim ishlaydi va afsuski har yili xodimlarning 15% ga yaqini o'z xohishlari bilan yoki kompaniya tomonidan ishdan bo'shatiladi va yana yangi xodim ishga olinadi. Bu esa kompaniya uchun bir qancha noqulayliklar tug'diradi (loyihalar sekinlashishi, ishga qabul qilish jarayoni uzoqligi, yangi ishchi ko'nikishi uchun treninglar va ma'lum vaqt kerakligi). Ishchilarni saqlab qolish uchun kompaniya HR tahlil qilib ko'rishga qaror qildi va quyidagi datasetdan foydalanib, qanday faktorlar ishchilarni bo'shashiga sabab bo'lishini tahlil qilishgan.\n",
        "Dataset ustun nomlari:\n",
        "\n",
        "1.   Age - yoshi\n",
        "2.   Attrition - ishdan bo'shaganmi\n",
        "3.   BusinessTravel - komandirovka\n",
        "4.   DistanceFromHome - uydan ishgacha bo'lgan masofa (km)\n",
        "5.   Education - Ta'lim\n",
        "6.   Gender - jinsi\n",
        "7.   MaritalStatus - oilaviy holati\n",
        "\n",
        "\n",
        "<a href=\"https://ibb.co/sR5zPJV\"><img src=\"https://i.ibb.co/g9vh7FR/hr.png\" alt=\"hr\" border=\"0\" style=\"width:100%\"></a>\n"
      ],
      "metadata": {
        "id": "zFN8W2-LujYc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#@title QUYIDAGI KODGA TEGMANG!!! \n",
        "import ssl\n",
        "ssl._create_default_https_context = ssl._create_unverified_context"
      ],
      "metadata": {
        "id": "kROQyqEcwjDQ"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1-VAZIFA: Quyidagi CSV fayl linkidan foydalaning \n",
        "### - va ma'lumotlarni \"data\" nomli o'zgaruvchiga biriktiring \n",
        "### - hamda 'EmployeeCount','EmployeeID','StandardHours' ustunlari ortiqchaligi sababli o'chirib tashlang\n",
        "\n",
        "### LINK: https://raw.githubusercontent.com/mukhammad-irmatov/health_dataset/main/hr_dataset.csv"
      ],
      "metadata": {
        "id": "uIzfpkaK3bQW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "df = pd.read_csv('https://raw.githubusercontent.com/mukhammad-irmatov/health_dataset/main/hr_dataset.csv')\n",
        "df.drop(['EmployeeCount','EmployeeID','StandardHours'], axis=1, inplace=True)\n",
        "df.head()"
      ],
      "metadata": {
        "id": "JPzzo4-Ut1tu",
        "outputId": "c6ced766-3254-4c17-cce4-0bff23f753e2",
        "colab": {
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          "height": 357
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      "execution_count": 5,
      "outputs": [
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Age</th>\n",
              "      <th>Attrition</th>\n",
              "      <th>BusinessTravel</th>\n",
              "      <th>Department</th>\n",
              "      <th>DistanceFromHome</th>\n",
              "      <th>Education</th>\n",
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              "      <th>MaritalStatus</th>\n",
              "      <th>MonthlyIncome</th>\n",
              "      <th>NumCompaniesWorked</th>\n",
              "      <th>Over18</th>\n",
              "      <th>PercentSalaryHike</th>\n",
              "      <th>StockOptionLevel</th>\n",
              "      <th>TotalWorkingYears</th>\n",
              "      <th>TrainingTimesLastYear</th>\n",
              "      <th>YearsAtCompany</th>\n",
              "      <th>YearsSinceLastPromotion</th>\n",
              "      <th>YearsWithCurrManager</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>51</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>Sales</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>Female</td>\n",
              "      <td>1</td>\n",
              "      <td>Healthcare Representative</td>\n",
              "      <td>Married</td>\n",
              "      <td>131160</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Y</td>\n",
              "      <td>11</td>\n",
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              "      <td>0</td>\n",
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              "      <th>1</th>\n",
              "      <td>31</td>\n",
              "      <td>Yes</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>10</td>\n",
              "      <td>1</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>Female</td>\n",
              "      <td>1</td>\n",
              "      <td>Research Scientist</td>\n",
              "      <td>Single</td>\n",
              "      <td>41890</td>\n",
              "      <td>0.0</td>\n",
              "      <td>Y</td>\n",
              "      <td>23</td>\n",
              "      <td>1</td>\n",
              "      <td>6.0</td>\n",
              "      <td>3</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>32</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Frequently</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>17</td>\n",
              "      <td>4</td>\n",
              "      <td>Other</td>\n",
              "      <td>Male</td>\n",
              "      <td>4</td>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>Married</td>\n",
              "      <td>193280</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Y</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>5.0</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>38</td>\n",
              "      <td>No</td>\n",
              "      <td>Non-Travel</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>Life Sciences</td>\n",
              "      <td>Male</td>\n",
              "      <td>3</td>\n",
              "      <td>Human Resources</td>\n",
              "      <td>Married</td>\n",
              "      <td>83210</td>\n",
              "      <td>3.0</td>\n",
              "      <td>Y</td>\n",
              "      <td>11</td>\n",
              "      <td>3</td>\n",
              "      <td>13.0</td>\n",
              "      <td>5</td>\n",
              "      <td>8</td>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
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              "      <th>4</th>\n",
              "      <td>32</td>\n",
              "      <td>No</td>\n",
              "      <td>Travel_Rarely</td>\n",
              "      <td>Research &amp; Development</td>\n",
              "      <td>10</td>\n",
              "      <td>1</td>\n",
              "      <td>Medical</td>\n",
              "      <td>Male</td>\n",
              "      <td>1</td>\n",
              "      <td>Sales Executive</td>\n",
              "      <td>Single</td>\n",
              "      <td>23420</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Y</td>\n",
              "      <td>12</td>\n",
              "      <td>2</td>\n",
              "      <td>9.0</td>\n",
              "      <td>2</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
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              "                                                     [key], {});\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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            "text/plain": [
              "   Age Attrition  ... YearsSinceLastPromotion YearsWithCurrManager\n",
              "0   51        No  ...                       0                    0\n",
              "1   31       Yes  ...                       1                    4\n",
              "2   32        No  ...                       0                    3\n",
              "3   38        No  ...                       7                    5\n",
              "4   32        No  ...                       0                    4\n",
              "\n",
              "[5 rows x 21 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2-VAZIFA: Qaysi ustunlarda nechtadan null qiymatlar borligini aniqlang\n",
        "### - o'sha ustunlardagi kataklarni 0 qiymati bilan to'ldiring.\n"
      ],
      "metadata": {
        "id": "rOEiPT855hfG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "df.fillna(0, inplace=True)\n",
        "df.isnull().sum()"
      ],
      "metadata": {
        "id": "iyDLfCeK6Axw",
        "outputId": "90c9cd62-1311-45e5-c7f8-a9ebf6f383b5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Age                        0\n",
              "Attrition                  0\n",
              "BusinessTravel             0\n",
              "Department                 0\n",
              "DistanceFromHome           0\n",
              "Education                  0\n",
              "EducationField             0\n",
              "Gender                     0\n",
              "JobLevel                   0\n",
              "JobRole                    0\n",
              "MaritalStatus              0\n",
              "MonthlyIncome              0\n",
              "NumCompaniesWorked         0\n",
              "Over18                     0\n",
              "PercentSalaryHike          0\n",
              "StockOptionLevel           0\n",
              "TotalWorkingYears          0\n",
              "TrainingTimesLastYear      0\n",
              "YearsAtCompany             0\n",
              "YearsSinceLastPromotion    0\n",
              "YearsWithCurrManager       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 3-VAZIFA: Barcha ustunlardagi o'zaro korrelatsiyasini aniqlang\n",
        "### - hamda heatmap orqali 16:10 o'lchamda ekranga chiqaring \n"
      ],
      "metadata": {
        "id": "pnbIUjWQ6crL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "plt.figure(figsize=(16, 10))\n",
        "sns.heatmap(data=df.corr(), cmap=\"YlGnBu\")\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "twSCy4Re6djN",
        "outputId": "5b315b9a-41a9-4200-cb32-12a60a9cc550",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 727
        }
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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9LoqIOeXr2oh4GsWnHC/PzJnAY+MZpHz4938D+2bmlsALKKYfALwrM7fJzM2Bm4FjyvZ3AL/JzJmZuc8Yw54PfLV83tkBwFciYs2W7Q9k5rbAgcAplc5akiRJkqYoK8/1eMK07YjYG7guM7NsOgP4xDjG2RW4NDNvAcjMx/hn4n1QROxP8byyFYHftxssIlYGZgJnleP9pqxQvwD4dtntgvLrVcA6EbFcZs5bbDBJkiRJ6iFWnrvfQp74c1qu3Q4RsSPwNmC3svL8gfHsN07z4PHnpYEfwEiSJEn9Z6Axea8uYfLcHa4Cnh8Rzynfv6ll293AtPJeZID9WrZdDuwxsl9EzCirx6sB9wP3RcQM4NCWfR4AVh0riMx8EJgDHFyOtwmwZRmfJEmSJPUtk+d6tN7zPAdYj2IF7G9HxPW0VIkzcyHwLuAHEfFLYLhl2y3AYcDXIuLXwC8oVtO+DLiNYqr2T4DrWo59A5ARcVNEjPUMs/2BAyLiBor7nw8cY1l3SZIkSf2sMYmvLtFoNpt1x6A+8cjCn/bsL9vC5rjWeJuSnrbhl+sOoWNuz33rDqFjlhucVncIHTPUmFF3CB0x0KPnBbBg0UN1h9AxjcZg3SF0zKLm/LpD6KAu+mt8gi1qLqw7hI4ZbPTuv20Aq07fbUr9Ym6019mT9rf9rd8+pCuujferSpIkSZKq6eJHVXWK07YlSZIkSWrDyrMkSZIkqZouWgV7slh5liRJkiSpDSvPkiRJkqRq+q/wbOVZkiRJkqR2rDxLkiRJkqpxtW1JkiRJkjSalWdJkiRJUjVWniVJkiRJ0mhWniVJkiRJ1fRhGbYPT1mSJEmSpGpMniVJkiRJasNp25IkSZKkalwwTJIkSZIkjWblWZIkSZJUTf8Vnk2eNXkWLHqk7hA6ZtrACnWH0DG35751h9AxG8SsukPomF7+ua0wNK3uEDpi4aL76w6hYxoM1h1Cxww1ZtQdQsc0G9PrDqFjevnf7WazWXcIHdNkuO4Q1OdMniVJkiRJlTQH+q/07D3PkiRJkiS1YeVZkiRJklSNq21LkiRJkqTRrDxLkiRJkqrpv8KzlWdJkiRJktqx8ixJkiRJqsbVtiVJkiRJ0mhWniVJkiRJ1bjatiRJkiRJGs3KsyRJkiSpmv4rPFt5liRJkiSpHZNnSZIkSZLacNq2JEmSJKkaH1UlSZIkSZJGs/IsSZIkSarGyrO6QUTcERGbtenTjIiVlnX/iTBZx5EkSZKkull5liRJkiRV0uy/wrPJczeLiI2A04E1gYXAcZl5WUuXoyPi5cDy5baL24y3B/B+YDlgPvDuzLwqImYDp2bmt8p+ewLvzcydI+LpwKnAeuVxZmXmCRN6opIkSZLU5Zy23d3OB76amVsABwBfiYg1W7YPZ+ZMYG/gjIhYa0kDRcSGwAeB3TNza+BNwNfLzWcDB7d0fwNwVvn9ucApmbkdsDWwe0Ts+qTPTJIkSdLUNdCYvFeXMHnuXg1gJmUSm5m/AeYAL2jp8+VyWwLXjdo22suADYErI2IORWI+FBFPA74B7BgRa0TEGsCLgIsjYkVgJ+CUcp9fAusAm0zUSUqSJEnSVOC07f7RAC7LzIPG2hgR3wL2K99+KzMfjoiVgSawbWYumKQ4JUmSJHW7RvdUhCeLlefu1aSoNB8MEBGbAFsCV7X0eUO57TnA80dtG+1yYLeI2HSkISK2bdl+NnBI+Rqpdj8I/BQ4tmWfZ0bE2st2SpIkSZI0NVl57k5DwDxgf+D0iHg3xYJhB2bmva39IuJ6YAXgLZl5T8u22RGxsOX95hT3TX85IpYHpgM/A64ByMz/jYhVRr5v2W9/4LMRcWP5/kHgUODuiTlVSZIkSVNOF92LPFkazWaz7hjUolzd+nfA2pn5aN3xTKT753+/Z3/Zpg2sUHcIHfPAgn/UHULHbBCz6g6hY27PfesOoWNWGOrN/94WNefXHULHNBisO4SO6eX//zfp2X+2e/vn1sN/2zcZrjuEjlpu8AVTKht99tu+MWm/bH/4f6/qimtj5bmLRMQRwNuBo3otcZYkSZLUQ/rwBmCT5y6SmacAp9QdhyRJkiTpiUyeJUmSJEnVuNq2JEmSJEkazeRZkiRJkqQ2nLYtSZIkSaqmDx9VZeVZkiRJkqQ2rDxLkiRJkippumCYJEmSJEkazcqzJEmSJKmaPizD9uEpS5IkSZJUjZVnSZIkSVI1rrYtSZIkSZJGs/IsSZIkSarG1bYlSZIkSdJoVp4lSZIkSdX04T3PJs+aNNMHVq47hI4Zbs6vO4SOWW5wWt0hdMztuW/dIXTMBjGr7hA65t7bDqs7hI5o9vBksOHmY3WH0DHTWKHuEDrmgfn31x1Cx6ww9GjdIXTMAwt692+SFYeadYfQUcsN1h2B2jF5liRJkiRV03+F5x7+mFuSJEmSpAli5VmSJEmSVEmzD+95tvIsSZIkSVIbJs+SJEmSJLXhtG1JkiRJUjVO25YkSZIkSaNZeZYkSZIkVdOw8ixJkiRJkkax8ixJkiRJqqYPy7B9eMqSJEmSJFVj5VmSJEmSVI33PEuSJEmSpNGsPEuSJEmSqvE5z5IkSZIkabS+TZ4j4o6IuCsiBlvaDomIZkS880mMe0hEbDzq/UVL6TvmtlH9zn4yMUmSJEnShBpoTN6rS/Rt8ly6E3hZy/tDgOue5JiHABu36yRJkiRJmjr6/Z7nsymS3Usj4tnAisCNABGxEnAqsG3Z99zM/GS57QrgGuCFwDrA1zPz2Ih4A7ANcEpEfBw4qtx3lYj4GrAZMBd4dWbe3RpIRHwXODszLyzfvwp4a2a+dFS/44EAVgWeDdwGvCYzH4mI6cAJwG7AMPCHzHxlWV3/RNkOcBlwTGYOR8TZwGPAc4ANgW8A3wY+AjwT+Gxmfq48dgAnA08FpgMnZ+ZZ473YkiRJknpD09W2+84VwOYRsTpwMHBuy7YPUlyfzYEdgIMjYveW7esB/wY8H3hTRDynTCSvBY7IzJmZObvsuy1wVGZuCvwGOHyMWE4F3t7y/h3AF5YQ9zbAfsAmwDRg/7L9PygS6q0yc0vgsLL9zcBMYKvy9fyybcSmwO7lePsDBwAvAv4F+M+IWCkihoCvAu/OzG2BfwWOjYjnLiFGSZIkSeoZ/Z48N4GvA68vX19t2bYL8KXMbGbmA8Cssm3EhZm5KDPvB35LUbVdkp9l5p/L769aQt/vA0+PiE0iYpOyz3eWMN73M3NuZjaBq1vG25OiGjwfIDP/3nIuZ2fm/HLbWaPO5X8y87HMfARI4NLy3P4K/AN4BsVU9E2ACyJiDvBTYEbZJkmSJKmfDEziq0v0+7RtgHMoEtArM/O+YmbyuMxr+X6YpV/Ltn0zsxkRn+ef1efTM3N4nOMt3z7cpRo93ljxNoG/Z+bMJ3ksSZIkSZpyuiiPr0dm/gF4P/CxUZtmA2+MiEZErExRmf7BOIZ8gOJ+5GVxDvAK4HXAfy/D/t8BjizvfSYinlq2z6aYdj4tIqZRTFEfz7m0SuCRiDhwpCEinhsRqyxDnJIkSZI0pVh5BjLzjDGaPwZ8nnIBMeC8zLxsHMOdAXw6Io7mnwuGjTeOByPiMmD5zLy3yr6lE4H/AuZExHzgVmCfMqaNgOvLft8HvlQxtoURsRdwcnlug8DfgNcuQ5ySJEmSprI+XDCs0Ww2645BpXJRrhuAgzPzmrrjmWiPLvx5z/6yDTfn1x1CxyxsPlp3CB0zb3hB3SF0zAYxq+4QOube2w5r32kK6uX/j/TyuS03uHrdIXTM/fPn1h1Cx6wwNL3uEDrmgQW9+9/bikM9+6ckAE+ZsfeUykaf9V+zJ+0H8sf/2KXStYmIjSlm9a4B3AcclJm3jNHvtRQLRTcoblPdJTP/tqRx+37adreIiL0pHjt1eS8mzpIkSZJ6yEBj8l7VnQZ8ITM3pniC0emjO0TENsDxwK6ZuRnF04TuX9qgTtvuEpl5CXBJ3XFIkiRJ0lQVEWtRPJ5317JpFvD5iFhz1K2x7wZOysy7AcqnKC2VybMkSZIkqZplqwgvk4hYDVhtjE1zM3P0PSbPBP468uSizByOiDvL9tbk+XnA7RFxJbAS8A3gP8vHAY/JaduSJEmSpG52JHD7GK8jn8SYg8AWFBXqFwG7AwcubQeTZ0mSJElSNY1JfMHJwAZjvE4eI7I/A+tGxCBA+XWdsr3Vn4CLMvOxzHwQ+Baw3dJO2WnbkiRJkqSuVU7NHtcjADLznoiYA+wLfKX8ev0YjwL+KrBHRJxHkRe/BLhoaWNbeZYkSZIkVdIcaEzaaxm8FTg8In4PHF6+JyIuLVfZBrgAuAf4DTAHuBn48tIGtfIsSZIkSeoZmfk7YPsx2vdo+X4R8J7yNS4mz5IkSZKkahqTt9p2t3DatiRJkiRJbVh5liRJkiRVM4nPee4WVp4lSZIkSWrDyrMkSZIkqZr+KzxbeZYkSZIkqR2TZ0mSJEmS2nDatiRJkiSpkoE+LMP24SlLkiRJklSNlWdNmk/e+EjdIXTMezbr3RUThhoz6g6hY1YYmlZ3CB1z722H1R1Cx6y54ZfqDqEj/vL7fesOoWMGGr37Wf2Ft/fuv237bLBq3SF0zIpDa9cdQsdMG/hb3SF0zPJDa9Udglo0evfP3yXq3X/NJEmSJEmaIFaeJUmSJEmVWHmWJEmSJEmLsfIsSZIkSaqk0YelZyvPkiRJkiS1YeVZkiRJklRJHxaerTxLkiRJktSOlWdJkiRJUiVWniVJkiRJ0mKsPEuSJEmSKmn0YRm2D09ZkiRJkqRqrDxLkiRJkirxnmdJkiRJkrQYk2dJkiRJktpw2rYkSZIkqZKBPpy2PWHJc0TcATwEbJGZi1ra9szMmyboGCsDJwC7l8caBi7OzBMmYvxOiIhtgHdn5v7LsO8KwD+A9TLzb2XbtcDtmfmalvG/mZnPrDj2HTzJn01ENIGVM/OhZR1DkiRJkqaCiZ62vRJw4ASPCUBENIBLgQbwvMycCfwL8GAnjjdRMvPaZUmcy30fAX4J7AQQEasAKwCbt3TbCbhivGNGxEB5LSVJkiRpmTQak/fqFhM9bft44MMRMSsz5480jq5ytr4vv/8K8BJgXeBYYC1gP+ApwKGZeWW5/VnAizNzAUBmzgNOLcdcqfx+2/Kw52bmJ8ttVwC/ArYD1gc+B/wVOBxYBzg6My8s+zaBjwIvB5YHjsvMi8tt5wMBzABuLWP7R0TsBJwMXA28EGgCr8/M35bbTsrMbcox9gDeDywHzKeoSl8VEQGcTZEcDwJnZ+ZJFInxTsDXgH8FrgTWjYhNM/Pmcts3yrGP4Z8fXlwDHJ6ZD0XE8cCmwKrAemWMj4uI9wJ7AK8C1i7P5anAdODkzDyr7Pcqisr/POBiJEmSJKlPTHTl+VqKJPVtFfebkZkvBF4NfAlYkJnbAcdRJGsAWwHXjSTOY/ggxflsDuwAHBwRu7dsfwbwImB7iuR4s8zcAXgt8NlRYw2Xle29gTMiYq2y/V2ZuU1mbg7cDBzTss+mwGmZuQXwdeADowOMiA3LOHfPzK2BN5V9Ad4OXJKZW2bmZsCXy/YfU1aey68/oUigd4qIQYqE+oryXA8sz31zigT8gy2H3x7YLzOfm5n/KNsGIuIUimu7O/Aw8FWKhH7bcuxjI+K5EfE0ip/Ny8tr89jo85MkSZLUH/qx8tyJ1bY/ABxTVoLH62vl1+soKq8j738FbDTOMXYBvpSZzcx8AJhVto24MDMXZeadwH3AN1uOsW5ELNfS98sAmZllTC8o2w+KiF9FxI0UlfGZLftkZl5ffn8VsOEYMb6sbL8yIuYA5wNDZWJ6JfCmiPhYRLwYmFvu8wtgg7LPiygq0T+hSKSfD9yfmX8oz/WCzHwgM5vAGaPO/9LM/PuoeM4svx5QzhTYGNgEuKCM76cUVfZNKJLv68prQjm+JEmSJPWFCV9tOzMzIi4F3tPSvJAnJurLPXEv5pX7Dhezl4v3FAuCjcR4HfCOiBjKzIXLENq8lu+HxzjmUq9FROxIUVHfITPvjYj9gDcvZfyxxmsAl2XmQWNsuzgifgG8lGLq+qEUSe2jEXE1sCewUmbeFRH3UlSLd2L89zuPtajXleUYawHI1n8AACAASURBVAL3lPH9vawsP0FE7D3O40iSJEnqcY1uKglPkk495/l44B3AyuX7WynvRY6IlwBPW4Yxfwj8Bfh0REwvx5oREe8st88G3hgRjXJV7tcDP1jG+N9Qjv8ciuruVcBqwP3AfRExgyK5repyYLeI2HSkISJGrstGwN2ZeTbwEYr7s0dcQTFF/GcA5YcHt1Ek7z8u+8wGXhcRK5cLgr2J9ud/JvBp4IcRsQ6QwCMR8fiib+WU7VUorsHzy2tCOb4kSZIk9YWOJM+Z+RfgPIoFv6C49/a95VTgfwf+tAxjNinuyx0CfltOnb6WYoVvgI9RVE5vpJjqfF5mXraMpzAUEdcD3wHekpn3AJdRJKy/p5g2fd0ynMMtwAHAlyPi1xHxW+At5ebXAjeWxz0VeFfLrj8GnlMed8RPyrYryrG/R7Hw2i8orgHAx8cR0/kUH3b8kOK+8L2A10fEDRFxM/BFYHp5Dd4MfLuMcfTsAUmSJEl9ojEwea9u0Wg2m3XH0FV8dnHnfOT62T37y/aezXp32kqD3j23RSyqO4SOGejYxKL6rbnhl+oOoSP+8vt96w6hYwa66S+fCXbJn6bVHULH7LPB8nWH0DErDq1ddwgd88jCv9UdQscsP7RW+05TWIOp9TjZzc/96aT9bX/jQTt2xbWZ8HueJUmSJEm9rQ9veTZ5Hi0z+/DXQJIkSZK0NCbPkiRJkqRK+rHy3Ls3IUmSJEmSNEGsPEuSJEmSKrHyLEmSJEmSFmPyLEmSJElSG07bliRJkiRVMuC0bUmSJEmSNJqVZ0mSJElSJS4YJkmSJEmSFmPlWZIkSZJUiZVnSZIkSZK0GCvPkiRJkqRKGn243LaVZ0mSJEmS2rDyLEmSJEmqpB/veTZ51qQ5avPpdYfQMQ8vnFt3CB2z0tAadYfQMQsX3V93CB3T7OGJRX/5/b51h9Axz9h4Vt0hdMxdtx5Ydwgd8er1p9UdQsc06N2/jB9eeHfdIWgZPLrw73WH0FErDEXdIagNk2dJkrqAibMkaSrpx8pz75YmJEmSJEmaIFaeJUmSJEmVWHmWJEmSJEmLsfIsSZIkSaqkDx/zbOVZkiRJkqR2TJ4lSZIkSWrDaduSJEmSpEpcMEySJEmSJC3GyrMkSZIkqZJGH5Zh+/CUJUmSJEmqxsqzJEmSJKkS73mWJEmSJEmLsfIsSZIkSaqk0YelZyvPkiRJkiS1YeVZkiRJklRJHxaep27yHBF3APOAx4BB4OOZeUGN8ewETM/My1va3gG8FVgEzAC+k5lHtRnnEGDPzNxngmM7KTO3aWnbrIxn/fL9HOCFmfloeW33zMybJioGSZIkSZrKpvq07X0yc0vgQOCsiHjqeHaKiE58aLAT8NKWY2wLHAnsWMa4KXBuB45LRAxExJP67CczZ2bmoxMVkyRJkqTe1WhM3qtbTNnKc6vMvD4iHgQ2iYh3AesBywOzMvMEeLxSfQHwYuDGiHgbcAKwGzAM/CEzX1n2PQZ4NcX1+StwWGbeHRHHAwGsCjwbuA14DbAhRYV5ICJ2KY+TwP3AQ2WMw8AN5fhDwHeBNco4fwm8JTPnt55XRKwNzAJWAZYDvpuZ7yu3HU+RkK9anu8HI+KQzPz3cvsM4A5g+/Fcw4hoAitn5kOj2t8L7AG8ClgbOBl4KjAdODkzzxrP+JIkSZI0lU31yjMAEbEzRXL5IeCUzNwO2BrYPSJ2bem6SmZul5lvBP6DIgHeqqwMH1aOdQBFMvyCzNwKuBT4dMsY2wD7AZsA04D9M/NG4DTg3LKCeyJwObAQ+GNEfDUi3hwRK5RjDAP7ldOoN6OYdn7oGKc2F9grM7cGZgLbRMRuLdu3L8d5LvBNYLOI2KDc9lrgqsz8U/n+eRExZ+QFXNTmsg5ExCnAVsDuwMPAV4F3Z+a2wL8Cx0bEc9uMI0mSJKnHWHmeei6KiHnAAxRTty8C1oyIke0rUyS5Pyjft06b3hN470i1NzP/XrbvTZEgX1eOM0RRQR7x/cycCxARV1Mk2ovJzIcj4oXlWDsCbwLeUU7nHgaOiojdKRLn1YFHxhhmEPhUROwANCgqvzOBy8rtl47EnZkLI+J0igr4McA7gA+0jPWbse55Hiv20pnAz4EDMrMZEc+juJYXtFzfGWXb75YyjiRJkiRNeVM9ed5nZFGriFgZaALbZuaCJfR/aAntrRoUi4+duYTt81q+H6aYdj2mzGwC1wDXRMTngXsoKs2bUlRud8zMByPiOGDjMYZ4D0VivX1mzouIMygq7Es6nzOA6yPiEmA14IdLim0crqS4j3vNMu4G8PfMnPkkxpQkSZLUAwa6qCI8WXpi2jZAZj4I/BQ4dqQtIp5Z3jc8lu8AR0bE9LLvyGJjlwBvj4jVy/YZEbHlOEJ4gOL+45FjP7es7j7eRHGf8F8oEtu/l4nzqhTTwMeyGnBXmTivC7x8aQGUVejZFPdcf7FM3pfVmRTT1X8YEetQ3MP9SEQc+PgJFee4ypM4hiRJkiRNCVO98jza/sBnI+LG8v2DFPcS3z1G3xOB/wLmRMR84FaKSvZ5ZSL9k3J68gDwReDXbY79TeCg8n7iCyjueT45ItaiqFYPU0yBvicizgVeHhG/o6jq/pSxK9inABdGxE0USfd4Ksn/TbGI2Tnj6LtUmXl+OS3+hxT3Pe9VntPRFFPK/0Zxb7UkSZKkPtKPledGs/lkipPqNhHxAeDpmfmOumMZ7eGFV/bsL9vDC+fWHULHrDS0Rt0hdMz8Rfe37zRFNXpnYtFiFi6a377TFPSMjWfVHULH3HXrge07TVFDjeXad5qiBhrT6g6hY5r07J8kPa3BYN0hdNQKQ/8ypdLRXS/72aT9h/SD3brj2vRa5bmvRcTNFCt8v6zuWCRJkiSpl5g895DM3LTuGCRJkiT1voFG/83g6N15fZIkSZIkTRArz5IkSZKkSvpxwTArz5IkSZIktWHlWZIkSZJUST9WYfvxnCVJkiRJqsTKsyRJkiSpElfbliRJkiRJi7HyLEmSJEmqxNW2JUmSJEnSYqw8S5IkSZIq6ccqrMmzJEmSJKlnRMTGwDnAGsB9wEGZecsS+gZwPfDFzDxqaeP24wcGkiRJkqQnYaAxea9lcBrwhczcGPgCcPpYnSJisNz2P+M652UKRZIkSZKkLhMRawFbAbPKplnAVhGx5hjdjwW+A/x+PGM7bVuSJEmSVEljEp/zHBGrAauNsWluZs4d1fZM4K+ZOQyQmcMRcWfZfm/LmFsCLwN2Bj44njhMnqUJMH2gd/9TWrDoobpD6JgGg3WH0DHDzcfqDqFjBhq9OWnqrlsPrDuEjnn6RufVHULH3H3rwXWH0DHTB1etO4SOeWThPXWH0DGLmgvrDqFjGvT2s5FW6N0/JyfCkcCHx2j/CHB81cEiYhpwBvCGMrke137+iCRJkiRJ3exk4Owx2kdXnQH+DKwbEYNlYjwIrFO2j3g6sCFwaZk4rwY0ImKVzHzzkoIweZYkSZIkVbKMC3ktk3Jq9liJ8lh974mIOcC+wFfKr9dn5r0tff4EPHXkfUQcD6zkatuSJEmSpH7yVuDwiPg9cHj5noi4NCK2WdZBrTxLkiRJkirp5ipsZv4O2H6M9j2W0P/48YzbzecsSZIkSVJXsPIsSZIkSapkYBIfVdUtrDxLkiRJktSGlWdJkiRJUiWTudp2t7DyLEmSJElSG1aeJUmSJEmV9GMVth/PWZIkSZKkSqw8S5IkSZIq8Z5nSZIkSZK0GCvPkiRJkqRKfM6zJEmSJElajJVnSZIkSVIl/XjPc08lzxHxGuA4oAEsB1yXmftFxPHACZk5/0mMfQVwUmZ+Z4xtmwEnARtRVPOvA96dmX8ex7iHAD/PzN+X7/cGdszMo59ErIcAe2bmPss6RjcdR5IkSZLq1jPTtiPi6cAXgb0zcyawCfCpcvOHgekdOu7qwGzgy5m5UWY+G/gZcHlETBvHEIcAG4+8ycxLnkziLEmSJEmaeL1UeV4bWADcB5CZTeD6iPhCuf3nEbEI2AmYAZwGbEhRpf5UZp4LEBGbAJ8rx2tQVJvPaT1QRLweeC/wSuBQ4IrMvHBke2Z+tuzzeuC8smo9B9gBeArw9cw8LiLeAGwDnBIRHweOAp5BSzU3Io4BDiyHvgY4PDMfKqvpAawKPBu4DXhNZj6ypAsUEasAnwG2oKjM/xh4D/BC4NTMfH5L32uB92bmTyLiYODtFL8v9wNvy8xc0nEkSZIk9baeqcJW0Evn/Gvgl8CfIuKiiDgyItbIzHeU23fIzJmZORc4BbgpM7cAXgqcGBGbRcQQ8C3gS5m5RWZuDjxhmnZEvA94E7BLZv6FIhG9aox4rgK2bHn/PIrkeSawV0TsmZlnAdcCR5SxzR51rN0pEucdgM2BQeCDLV22AfajqLJPA/Zvc40+A/wkM7cr41gLODQz/xdYKSK2KI+7ObA6cGVE7Ai8Fvi3zNyaopp/ZpvjSJIkSVJP6ZnkOTMXZeYrKCrLPwb+HbghIp4yRvddgNPL/e4CLgV2pqjkDo2qIt/Xst/xwAuAPTLz/rJtvLfKn5OZCzPzIeAC4MXj2GcX4ILMfKCspJ9Rto34fmbOLbddTVFJX5q9gaMjYg7Ffdlb888p4+dQTCGn/HpOOe5eFB8CXF3udyLwzHHELkmSJKlHDTSak/bqFr00bRuAzLwJuAn4QkT8hiKZnihXAbsCzwJuKdt+TZFQj7Y9xT3YnTSv5fthYPk2/RvAKzLzD2NsOxe4KiKOA/almMo9ss+ZmfmhJxusJEmSJE1VPVN5joh1I+KFLe+fAawJ3A48SHFv8IjZwGFlv7WBPYAfAQksLFftHhlnjZb9LgPeBlwaEZuWbZ8Hdh61z7uB1YBZLfseEBFDEbEixTToH5XtD4yKrdVs4HURsXJENCimi/+g3bVYikuAYyNisIzzqRGxAUBm/gn4DcWU9t9k5h/Lfb4NHFReTyJiMCK2fhIxSJIkSZriBhqT9+oWvVR5HgI+EhHPAh6l+GDgA5l5fUR8GvhRRDxKUYk+Ajg9Im6gqKwem5k3A0TEy4HPR8SHgEUUj6A6b+Qgmfmj8hFNl0TEPuX4uwInRcSJ5XhzgJdl5oKW+H4H/Jx/Lhg2ci/1GcCnI+JoigXDHpeZ3yvvQ/5F2XQt8PFxXo89IuIvLe/PAo4EPgn8OiKawGNl2+1ln7PLcx1ZoIzMvDIi3l+e7yDFquUXAr8aZxySJEmSNOU1ms3umUPeq5b2jOh+8vDCK3v2l23BoofqDqFjGgzWHYKWwXDzsbpD6JhG70yaeoJGozfPC+DpG53XvtMUdfetB9cdQscsP7Rm3SF0zCML76k7hI5Z1FxYdwgd0xj3UkNT0+oz9pxSJ/jOX/x40v62//wLd+6Ka9O7/1JLkiRJkjRBemnadtfKzJ3qjkGSJEmSJko/VmH78ZwlSZIkSarEyrMkSZIkqZJuev7yZLHyLEmSJElSG1aeJUmSJEmVdNPzlyeLlWdJkiRJktqw8ixJkiRJqqQfq7D9eM6SJEmSJFVi8ixJkiRJUhtO25YkSZIkVeKCYZIkSZIkaTFWniVJkiRJlTQazbpDmHRWniVJkiRJasPKsyRJkiSpEu95liRJkiRJi7HyrEmz+Xv+r+4QOua6k2bUHULHNBqDdYfQMUON3v25TWOFukPomAtvf6TuEDri1etPqzuEjrn71oPrDqFj1t7onLpD6Jj7/vDOukPomJmf6N1/27beYaW6Q+iYex/p7brflXvVHUE1vf3TGFs/nrMkSZIkSZVYeZYkSZIkVTLgatuSJEmSJGk0K8+SJEmSpEpcbVuSJEmSJC3GyrMkSZIkqRIrz5IkSZIkaTFWniVJkiRJlfTu09KXzMqzJEmSJEltmDxLkiRJktSG07YlSZIkSZUMNJp1hzDprDxLkiRJktSGlWdJkiRJUiU+qkqSJEmSJC3GyrMkSZIkqRIrz5IkSZIkaTFTtvIcEVcDM4DpwMbATeWm6zPzDaP6zgQ2zsyvj2PcnYCTMnObiPgKcGNmfqLc9k7gZOApmflA2XYT8K7M/GGF2I8HVsrMo0a1rwOcn5k7j3esMcY+E7g3M49paZsNXJyZ/29Zx5UkSZKkEYNWnqeOzNw+M2cCewBzM3Nm+XrDGN1nAq9dhsP8GNip5f2LgGuBHQEiYk1gI+Dn4x0wIpb4gUVm3vlkEufSu4HXRsT25fHeAjSB057kuEuNXZIkSZJ6WU8lQxFxEHA0RbJ4G/AWYBj4KLBKRMwBrszMIyLifCAoqte3Aodm5j9GDXkF8NmIGMrMhcBWwHEUCfV3KZLpX2bmoxGxLXAKsCLwMHBEZl4TEetTJNxnAy8GzhgV8+bA+cDhwB+BazPzqeW2JvB+4JXAGsDRmXlxue3VwH8CjwIXlt+vnJn3R8SbgbMi4hXAB4B/AdaOiFOB9YDlgVmZeUI51knluUwH/l5eiz+OFXtE3AV8vLyuQ8A7M/OKcfx4JEmSJPUI73mewiJiM+BE4KWZuQXFNO5TM/M+4EPA7LIyfUS5y7syc5vM3By4GThm9JiZeRswF9g6Ip5HkWT/iCLRhCKJviIipgMXAx8oj/1B4OKyHYrE95rM3CozH68AR8QuwFeB12fmT5Zwag9k5rbAgRTJORHxNIokfK/MfD5FAt0a9w+AnwDXAB/OzD8B5wKnZOZ2wNbA7hGxa7nLiZm5bWZuCcwCPtEy3OjYPwq8uaz6bwlct4S4JUmSJKln9FLleWfg0sy8q3x/OvDrpfQ/KCL2p6i2rgj8fgn9rqBIkh8ArsjMeyNi+YhYpWw/nKKCPX/kvufMnB0R88v2B4F5wOj7rV8K7EaR7N+5lDgvKL9eBawTEcsB2wPXZeYt5bYzgc+M2u8k4HWZeWZErFjGumZEjGxfGdgE+AFFIv0OYCUW/50YHfuPKKrxFwPfy8ybkCRJktRXBhrN/8/efcfJVZb9H//sptEJIkUQpX+lhxJQRCmiAg+KCiIIUqWIgKAgqPCAKAiIdBQQEBBFzIOiP3ovDz0JkVCeC6QoHaS3kLa/P+57kslmSyY7s2fP2e+b174y554zZ64zs8zOda67FB1Cv6tM5bkRkj4DfAfYIleejwDm6Wb32rjnjUnVXIA7ga8BKwB3z8FTvhsRnX+7HgOGAOv18thJABExLW/P6QWPacD0fLud1JV9dN3Y8BUi4nRJHwdOAXaMiNWBPZj1tZgl9og4GNgLmAyMkbTXHMZjZmZmZmZWWlVKnm8BtpK0ZN7ei1RVhVQ1Xrhu35HAm8CrkkaQEsbu3EoaMzya1A0a4HbS2Od7I2ISEMBwSZsCSNoMGJbbu/M0qfr8C0nfmIPzq3cvsI6kFfL2rj3tHBFvA3cAh9faJC2TX6uFSInwi5LagX17OpYkRcTEiDgNuIT0upiZmZmZ2SDS3tZ/PwNFZZLn3H34cOAGSQ+SxuN+L999EzC/pH9IOh24ljSh2GOkanK343Yj4ingNeDJiJiSm28DViIl1kTEZGBb4Lj83McC2+X2nmJ+Bvgc8GNJuzVwri+RktyrJT0ALAZMAd7r4WE7AatKmihpInAZMDIiJpImHHuElJQ/1cvTHy/poTz52ueZdXy0mZmZmZlZJbV1dAy+vupVIGnBXFFG0u7AnhGxUcFh9Wj5A6+o7C/b+JNGFB1Cy7S3DSs6hJYZ2lbd963KxjzV03XC8tp22er+vzato8dryaW25IoXFR1Cy7z65P5Fh9Ayq/7i3aJDaJl1N5y36BBa5pX3KlP369LtX/r0AKqx9u7Xj1zfb9/t91v1CwPitanShGGDzYGSvk56D18jdVM3MzMzMzOzFnDyXFIRcSype7iZmZmZmZm1mJNnMzMzMzMza8hAmsirv1R74ICZmZmZmZlZE7jybGZmZmZmZg1pb6vsXMDdcuXZzMzMzMzMrBeuPJuZmZmZmVlDhnjMs5mZmZmZmZl15sqzmZmZmZmZNcSzbZuZmZmZmZnZbFx5NjMzMzMzs4a48mxmZmZmZmZms3Hl2czMzMzMzBriyrOZmZmZmZmZzcaVZzMzMzMzM2vIkLaOokPod648m5mZmZmZmfXClWfrNxNPXqToEFpmWseUokNomekdk4sOoWU62oYXHULLvDX5zaJDaJntllu46BBaoo3qDh4bPqSa7xnAq0/uX3QILbPo8mcWHULLvPTEnkWH0DLTplf3839o+7xFh2B1BmMVdjCes5mZmZmZmVlDnDybmZmZmZmZ9cLdts3MzMzMzKwhXqrKzMzMzMzMzGbjyrOZmZmZmZk1xJVnMzMzMzMzM5uNK89mZmZmZmbWkCFtHUWH0O9ceTYzMzMzMzPrhSvPZmZmZmZm1pDBOObZybOZmZmZmZlVhqSVgYuARYFXgV0i4vFO+xwJ7ABMA6YAP46I63o6rrttm5mZmZmZWUPa2/rvZy6cDZwVESsDZwHndLHPfcDoiFgT2AO4TNK8PZ7zXIViZmZmZmZmNsBIWhxYB7g0N10KrCNpsfr9IuK6iHgvbz4ItJEq1d1yt20zMzMzMzNrSH+OeZY0EhjZxV1vRMQbndqWAZ6LiGkAETFN0vO5/ZVunmIX4ImIeLanOFx5NjMzMzMzs4HsIOCpLn4O6uuBJW0M/AzYsbd9XXk2MzMzMzOzhgzp39m2TwUu7KK9c9UZ4BlgaUlDctV5CLBUbp+FpE8BlwDbRET0FkRLk2dJ9wIjgOHAysBD+a4HImL3OXj8vsC8EXFKL/t9GfhMRBw6l3GuAfw+b34IWAh4Om//Fvgv4ICIeGJujt9AHJsAJ0XEek041m7AXRHxmKQPAw8AW0fEP/L9KwO3kAbJP9/X5zMzMzMzM2uF3DW7q0S5q31fljSBVEm+JP/7QETM0mVb0mjgMmC7iBg/J8duafIcERvkwJYFxkbEqPr7JQ2NiKk9PP7sOXyevwN/70OcE4FROabdSEnmdnW7nDW3xy7QbsB/gMci4j+SDgQulLQ+aTr2C4DD+po4S2oHOiKio68Bm5mZmZlZObS3Deiv//sCF0n6b+B10phmJF0N/HdEjAV+DcwLnCOp9rhv5dywS/3ebVvS08CfgM2AiZJ+QpoBbSFgHuCqiPhh3vdoYIGIOCQntd8knfzqpCsP20bEi/UJb67engrcC3wK6AB2iIhH8zGPBb5BWu/rVuBzvVV6c8xbR8RDkm4FxgHrA8sCpwHPAQeQugMcGhFj8uM2AI7P5wbpjboqzwD3R2CJ3H5jRBzcw/Mv2cNrtA3wc1JCPBTYH1gOWA84XdLPgUMi4q+StgV+DLwFvBIRl0jaCvhJPu5k4OCIuKeX5zwaWA1YGPhYfp1f7+k1NDMzMzMz6w8R8X/ABl20b1V3e3Sjxy1qwrCFImL9iNiTlAR/KSLWJVV/15O0RTePG01KBFcDHiElrF1ZDTg7r9n1Z+AIAElfArYG1iIlfCvNZfwfBTYmvSHHAKtHxIbA9sAp+blGktYX+2Y+t61JVzVGAjuRZnNbIyLWyMfoSU+v0THA3rmqvxYwPiJ+B4wFDoyIURFxY973AGB34GBgH0krAEcCW+Zjf5v0evX2nORz/2ZEfCIinDibmZmZmVmlFZU8X1x3ewjwS0n/IFV0Vyd3oe7CnRFRG+h9D7BCN/tFRDzQxX6bAn+OiHcjYjpw0VzGPyYipucuz68Cf83t40iD0+cBNiRVgK/Jfe6vIVXBV8wxbSnpl5K2Bt7p5fl6eo1uBk6RdCiwSkS81d1BcpL7e+DyiHgZ+CLptbk9x/gHYKikJXp5ToCrI+I/vcRtZmZmZmYV1N6PPwNFUbNt1yeL3wcWATaIiEmSziV1E+7KpLrbtW7KfdlvbnU+/iSYsYYY+fnagAcj4rNdHUDS2sDngW8BhwMb9fB83b5GEXFwnvBsM2CMpJMj4rc9HGta/iHHeG1E7NJFfEd295xZbwm/mZmZmZlZZQyERH4k8EJO0JYGtmnhc90KbCdpvjzR1bda+Fx3AStJ2rTWIGm0pDZJywFvRcSfSInxujme7nT7GklSREyMiNNIs8nV+u6/RRqT3JPrgS0krVYfY2/PaWZmZmZmg1t7W//9DBQDYZ3n00kV04eAZ4GbWvVEEfF3SRsCDwKvkbpPL9Ki53o9L6H1S0mnkpbrehL4ErAJ8H1J00gXMPaNiOm5ar2mpGfrDnUjcBTdv0bHS1oJmEoap7xnbj8X+FXuzn1I3bjn+hgfl7QzcL6keXOMdwL304/vi5mZmZmZ2UDX1tExoKcYbzpJC0bE27nSex7wfEQcUXRcg8G7U2+r7C/btI4pRYfQMtM7JhcdQssMa1+g6BBa5q3JbxYdQsssNLy3TjXl1MYAurTeZEPb5ys6hJaZOn1S7zuV1KLLn1l0CC3z0hN79r5TSU2r8O/k0PZ5iw6hpRYc9rlS/SG47YWr++27/cYf2WpAvDYDofLc3y7O607PS5oI68RiwzEzMzMzM7OBbtAlzxHx1aJjMDMzMzMzK7P2tsp2Ku3WQJgwzMzMzMzMzGxAG3SVZzMzMzMzM+ubgTQLdn9x5dnMzMzMzMysF648m5mZmZmZWUNceTYzMzMzMzOz2bjybGZmZmZmZg0ZjFXYwXjOZmZmZmZmZg1x5dnMzMzMzMwa0uYxz2ZmZmZmZmbWmZNnMzMzMzMzs16427aZmZmZmZk1ZBD22nbl2czMzMzMzKw3rjybmZmZmZlZQzxhmJmZmZmZmZnNxpVnMzMzMzMza8hgrMI6ebZ+c9yEqUWH0DLfX/29okNomSHtw4oOoWWGtc9XdAgtM9/Q94sOoWXmH7pk0SG0xLtTXyw6hJZ5b+rLRYfQMqNOGFJ0CC3z0hN7Fh1CyyyxwvlFh9Ayi++9R9EhtMywsc8VHUJL/fOKoiOw3jh5NjMzMzMzs4a0tXUUHUK/G4zVdjMzMzMzM7OGuPJsZmZmZmZmzrED5QAAIABJREFUDRmEk2278mxmZmZmZmbWG1eezczMzMzMrCFe59nMzMzMzMzMZuPKs5mZmZmZmTVkEBaeXXk2MzMzMzMz640rz2ZmZmZmZtaQ9kFYenbl2czMzMzMzKwXTp7NzMzMzMzMeuFu22ZmZmZmZtaQQdhr25VnMzMzMzMzs9648mxmZmZmZmYNaRuEpWdXns3MzMzMzMx6UcnKs6QLgFci4rC6thuByyPiNy1+7nuBERExqq5tE2B4RFxf17YgcBywJfAOMC3Hd1wr4zMzMzMzM+urQVh4rmzl+WBge0kbAEjaB+gAzu7LQSX1eLFB0mrAksD8ktatu2sT4At1+7UBV5N+51bNifangbf7Ep+ZmZmZmZm1RiUrzxHxpqS9gd9J+gpwBLARMEbSx4B5gUtrVV5JJwEbA8OB/wB7RMS/JC0LjAUuBDYDzpX0AvBzUqV4KLB/RNyan3oP4GLgg3x7nKQ1gH2BdkmbA3/Kx/w4sFlETMkxTwLOyPEskG+Pzse9OCJOzPfdCowD1geWBU4DngMOAJYCDo2IMXnfDuAYYJt8zj+OiMvzfX8ABIwA/pnP+fVcJT8VuBf4FOmiww4R8aikq4AL647/NWDfiJhxYcDMzMzMzKrPlecKiYgbgNuA+4GjgPOA0yNifWBdYEtJn8+7Hx8RoyNiLeBS4IS6Qy0K3B8R60TE2aRkdO9cLV4LGA8gaRiwEynRvgj4hqR5ImIiqeJ9cUSMiojjgXWA8bXEuQtHkt6bNYANgV0lbVl3/0dJyf4GOZ7VI2JDYHvglE7HmpZj/TIp+V88t38vItaLiDWAh4HD6h6zGnB2RKwJ/Jl08QFSQr9f3X7fBc7q5hzMzMzMzMwqo5KV5zonAd8ALgPOARaTVLtvQWAV4AZSIv1dYAFmf00mkRLImpuBUyRdDlwTEQ/l9q2BxyLiCQBJDwBfJSXjjdqclNx2AG9JujS3XZPvHxMR04HnJb0K/DW3jwOWzkn7pNx2PkBEhKTxwCeBvwO7SNqJVG2fH3is7vkjIh7It+8BvpRvXwecKmmVvL0CcOVcnJ+ZmZmZmZVY+yAsPVe28pxNA6aTzrMDGJ2rv6MiYoWIOF3Sx0nV2h0jYnVSd+t56o7xbk5iAYiIg4G9gMmkbuB75bv2AFaV9LSkp4FRua0r44G1extD3YNJdben1bYjYlpu621s9meA7wBb5MrzEcx6zp2PPzQfvwM4k1R93g84p+45zczMzMzMKqvqyTMAEfE2cAdweK1N0jKSlgQWIiXCL0pqJ41P7pYkRcTEiDgNuAQYnY+zMbBcRCwbEcsCywDr5THWbwEL1x3mJuBZ4FeShufjjpC0f77/RmBPSW15Vu4dSBXyubF7Pv5KwNqkSvJI4E3gVUkj6D7J78pFwFdIFf3z5jImMzMzMzMrsbZ+/BkoBkXynO1EqgxPlDSR1JV7ZB6TPAZ4hDRJ1lO9HOd4SQ9JmgB8njQ+eldSF+4Zs2XnbtN/JSWvfyUl2RMkHZ4ruFuSKrqP5njGkrqNA/yM9HsyEbgb+H1EXDuX5z00dyG/EtgnIl4GrgWeIHXVvo08bntO5HO8Frg+Il6Zy5jMzMzMzMxKpa2jo6P3vayU8mzbC0bEO0085lDgQWDXiLi/kcf+ZOxNlf1l+/7q7xYdQssMaR9WdAgtM9/QxYoOoWXen/pq0SG0zMLDlys6hJZ4d+qLRYfQMlOmV/czctQJQ4oOoWUePLy6NZYlVji/6BBaZvG9G+lQWC7Dxr5QdAgt9c8rdhlIRdZe/fOt/9dv3+1XXOhLA+K1qe6nojWdpC+TKtbXN5o4m5mZmZmZlVnVZ9se1CKiqVdoIuLvpJm6zczMzMxsEBsQpeB+5sqzmZmZmZmZWS9ceTYzMzMzM7OGtA3C0rMrz2ZmZmZmZma9cPJsZmZmZmZm1gt32zYzMzMzM7OGDMYq7GA8ZzMzMzMzM7OGuPJsZmZmZmZmDfGEYWZmZmZmZmY2G1eezczMzMzMrCGDsPDsyrOZmZmZmZlZb1x5NjMzMzMzs4Z4zLOZmZmZmZmZzcaVZzMzMzMzM2vIICw8u/JsZmZmZmZm1htXns3MzMzMzKwh7YOw9Ozk2frN2otOKTqElhnaPrzoEFpmWkd137eOjo6iQ2iZt6ZMLjqElhnW/lLRIViDpndMLTqElll3wwWKDqFlpk1/s+gQWmbxvfcoOoSWefncC4oOoWX0i/2KDsEGOSfPZmZmZmZm1pBBWHj2mGczMzMzMzOz3rjybGZmZmZmZg1pa6vu8LfuuPJsZmZmZmZm1gsnz2ZmZmZmZma9cLdtMzMzMzMza4gnDDMzMzMzMzOz2bjybGZmZmZmZg1pG4SlZ1eezczMzMzMzHrhyrOZmZmZmZk1ZBAWnl15NjMzMzMzM+uNK89mZmZmZmbWkMFYhR2M52xmZmZmZmbWEFeezczMzMzMrCGebdvMzMzMzMzMZtNj5VnSBcArEXFYXduNwOUR8ZtWBCRpLeA0YCQwHHgD+GpEvCTpPOCiiLijBc97NLBARBzSpGMdFxGT67b3A54H5gHuBL5Tu78/SfoK8HxE3Je31wMOjoid+jsWMzMzMzMrq8FXeu6t8nwwsL2kDQAk7QN0AGf35Ukl9ZS0/xE4KSJGRcSqwK7AuwAR8e1WJM4tcBQp8a93cUSMAtYCVgX27fwgSUP6IbavAOvXNiJirBNnMzMzMzOznvVYeY6INyXtDfwuVyyPADYCxkj6GDAvcGlEHAcg6SRgY1Li+B9gj4j4l6RlgbHAhcBmwLmSXgB+DkzLcewfEbcCHwWeq4vh8dptSbeSEusrJV0ITAJWBpYB7gZ2jYgOSQsDpwCjgenAHRGxv6ThwLE5xhHAg6QK8DvdvQaSPpfjnCfHeWxE/CnfdxSwY46jA9g0Hx/gLknTgU06vaYfSLojPVybAKcD44C1gSMkvZTb5iddNDgwIu6vew1/C2yRX/udSEn4BsD7wDYR8WJOwk/I+wFcCxwGbA58Gdhc0reBk4F/59d0vXxOuwCH5vN5AtgnIl6WtBvwTeB1YHVSj4BtI+LF7l47MzMzMzOrpjZXnmcXETcAtwH3kyqq5wGnR8T6wLrAlpI+n3c/PiJGR8RawKWkBK5mUeD+iFgnIs4GjgH2rqvGjs/7HQvcIel6ST+V9Ikewlsd2ApYLceyeW4/lZR4rpVjOTq3/xB4MyLWz+3PAz/q5SUYD2wUEWvn458kaRFJHyJV5tfO5/BZ4J2I+G5+3Ia5ev5G/cFyYv8F4IHctBpwbj7G9cDlwBERsSZwJHB5Tvprr+H/5ljOB24Czsr7jgP2z/vtDYwC1sk/a5Ne6+uAv5Pep1ERcXGn2FYHjge+kI/5EHBG3S6jgUMiYjXgEeCAXl47MzMzMzOzSpjTCcNOIlWILyNVUk+XNAG4D1gKWCXvt6WkeyQ9BBxCSuBqJgF/rtu+GThF0qHAKhHxFkBEnEiqJl8MfBwYJ+mz3cR1RURMymOHxwMr5PatgV9GxPR8zP/k9i8DO0uakOP/ct1jurMY8D/5nK4DPgQIeBP4J3CxpL1I46Wn9nCcXfJz3gJcCfwutz8eEXfn2wImR8RNOe4bgcm5HVJyflW+PR54NiIm5O1xwIr59ubAhRExOb82v2PmhYWebApcHREv5O1zOj3uzoh4Jt++h95fOzMzMzMzq6C2tvZ++xko5nSpqmmk7s/tpO68oyNiSv0Okj5O7iodEU9J2pA0frnm3YjoqG1ExMGS1iB14x4j6eSI+G2+73ngEuASSe8D2wG3dxHXpE4x9nY+bcB+EXFzr2c8029I1dqv5S7hjwHzRMQ0SZ8EPp3PYZykLSLiwW6Oc3HnycgkAXTbZbwLH9Tdnkbj599X/f18ZmZmZmZmA0JDaXxEvA3cARxea5O0jKQlgYVIVdIXJbXTxYRY9SQpIiZGxGmkRHl0bt+mNnGWpHlIVe2nGomTVNk9VFJbPs6Hc/vfge9Lmje3LyhplW6OUTMSeDonzp8nV3clLQgsFhG3RcRRpC7Oq+fHvA0s3GDMAAEMl7Rpfo7NgGG5vRE3ArtKGiZpGGnStRvyfW/1ENstwFb5/QTYq+5xZmZmZmZmg9bcVA53InW3npi33yZNDDZR0hjSWNj/AFeTxgF353hJKwFTSZNP7Znbvw6cKGkSKXG8ATizwRgPJo17fkjSVNKY7QNJ43mPBu7Pk3l1AD8FHs2P20fSDnXH+RnpQsGvJf2UNO67VllemDQeeV7SRYjxwF/yfb8Cbs5V803mNOiImCxpW1K3+NqEYdvl9gZOn3NJSX5tXPV1pInGAH4PXCjp68ycMKz2/A9JOhy4QVIH8CSwTyNPbGZmZmZmg8HAnTBM0srARaQ5o14FdqmfiDrvM4Q0UfMWpLzw+Ig4r6fjtnV0dPR0v1nT/M9T11b2l+3zSxcdQetM65jS+04lNf/QJXvfqaRenlTdifAXHTGy6BBaooPKfkTywbQ3iw6hZfb632r+PgKct1F137dRvxxRdAgt8/K5FxQdQsvoF/sVHUJLTdjpMwM3G+3CG5Ov6bc/XCOHb9nQayPpZuCCiLhE0s6kYu9mnfbZhVQY3pKUZD9Amij66e6OO3BGX5uZmZmZmVkptPXjf42QtDhpxaFLc9OlwDqSFuu06zeA30bE9Ih4BbiC1Au6W57wyczMzMzMzAYsSSNJc1F19kbnpYGBZYDnImIaQJ7o+fnc/krdfh8D/lW3/e+8T7dceTYzMzMzM7MGtfXjDweRJpHu/HNQq8+ynpNnMzMzMzMzG8hOBZbr4ufULvZ9Bli6bgWnIcBSub3ev4GP121/rIt9ZuFu22ZmZmZmZtaQtrb+q8Pmrtmdu2d3t+/LkiYAO5KWRN4ReCCPa643BthL0l9IE4Z9BfhMT8d25dnMzMzMzMyqZF/gAEmPAQfkbSRdLWm9vM/vSUvzPg7cAxwTEU/1dFBXns3MzMzMzKxBA3dlrYj4P2CDLtq3qrs9DfhOI8d15dnMzMzMzMysF648m5mZmZmZWUMaXX+5Clx5NjMzMzMzM+uFK89mZmZmZmbWEFeezczMzMzMzGw2rjybmZmZmZlZgwZfHXbwnbGZmZmZmZlZg5w8m5mZmZmZmfXC3bbNzMzMzMysIW1tg2/CMCfP1m9GDOkoOoSWmdYxtegQWmZI27CiQ2iZDqYVHULLzD+0uv+/zTt08aJDaJn3p/6n6BBaosozsr7yXnU78Q1tn7foEFpm2Njnig6hZfSL/YoOoWXiR78uOoTW2ukzRUdgvXDybGZmNgBUNXE2M7Oqqu6F0e5U93KpmZmZmZmZWZO48mxmZmZmZmYNqfKQnO648mxmZmZmZmbWC1eezczMzMzMrEGDrw47+M7YzMzMzMzMrEGuPJuZmZmZmVlDPObZzMzMzMzMzGbjyrOZmZmZmZk1pK3NlWczMzMzMzMz68SVZzMzMzMzM2uQK89mZmZmZmZm1okrz2ZmZmZmZtaQtkFYhx18Z2xmZmZmZmbWICfPZmZmZmZmZr1wt20zMzMzMzNrkCcM6xNJF0g6oVPbjZK+08znqTv25pIerdteWNJUSd+taztE0u8lLSXplrr2oyUNr9u+UNL+PTzXFyXdKelxSWMlXSlpjSadR4ek+zu1HZ3bt27Gc5iZmZmZmdnca3a37YOB7SVtACBpH6ADOLsvB5XUXYX8TmA5SUvk7Y2AscAmdftsAtwaEc9HxKZ17UcBw5kDkr4AnA98LyJWioj1gCOAj8zxSTD7eXTabpO0am5vA3YEHmrk+EWQNKToGMzMzMzMrH+1tbX1289A0dRu2xHxpqS9gd9J+gopwdwIGCPpY8C8wKURcRyApJOAjUlJ7H+APSLiX5KWJSXBFwKbAedKegH4OTAtx71/RNyaK7abAJflY51BSoxrid1GwIG1Y0bEhyWdlUO+S9J0Zibbq0u6GVgGuBvYNSI6gP8GfhYRY+vOdUJ+jhnH7bzdzXnsAEwAPgm8BmyVD3kRsBvwwxzPQ8CiteeT9E3ge8xM+A+JiJvyfU8DFwOfJyX0J0XEmT29xvm+/fMx3wCuBr5bdx5bAT8B5gEmAwdHxD2SNgFOB8YBa5Pe4ysxMzMzMzOrsKZPGBYRNwC3AfeTktjzgNMjYn1gXWBLSZ/Pux8fEaMjYi3gUqC+y/eiwP0RsU5EnA0cA+wdEaOAtYDxeb9bmJn8bgzcDDwuaTVScvdmRDzZKcZat+4NI2JURLyRt1cnJbOr5Vg3z+3rAPfO5UvS+TwAlgc2ioit6vYbA3wlJ/y7kRLuetcBn4yItYEdSMl2vfki4lOk1+J4SQvk9i5fY0lrAj8ivQajgZG1A0laATgS2DIi1gW+Dfy57rlWA87Nr50TZzMzMzOzQaetH38GhlZNGHYS8A1SNfgcYDFJtfsWBFYBbiAl0t8FFugilknMmrDdDJwi6XLgmoiodWm+FThL0oLAAhHxgqTbSEnkvPn+OXVFREwCkDQeWCHH2RedzwPgjxExtVPbO6Rq91dJ1fI9gR/U3b8CcKmkpYEpwJKSloyIF/P9fwKIiKclvQ58FPg/un+NNwGujohX8vYFwE759hfz891e974Nrese/3hE3D2H529mZmZmZlZ6rUqepwHTSZXtDmB0REyp30HSx4FT8n1PSdoQ+GPdLu/mLtMARMTBeYKuzUjdwE+OiN8CdwHLAtuSxkAD3E5KPOcFLm8g7kmdzqH2+owH1id1t+5sKrNW8OfpdP8s55G9083zX0iqQF8UEVPrEldIVeMfRMQVktqB9zo912yxz8Fr3J024NqI2KXzHZJW6SF+MzMzMzMbBNoG4arHLT3jiHgbuAM4vNYmaRlJSwILkcbSvpiTwX17OpYkRcTEiDgNuAQYnZ9jEnAf8GNmVpnHAeuRKri3zH40AN4GFp7DU/k5cKSkderiWTNPJPYiMEzSivmub87hMbtyK/AL4Mwu7hsJPJVv7wGMmIPj9fQa30aqSn84b+9ad9/1wBa56zsAkkbPyQmYmZmZmZlVUX9cLtgJWFXSREkTSV25R0bERFKV9RHSeOKnejgGpHG8D0maQJoYq3589C3ASqSEkFzl/ifwRkQ83c3xfgXcLGmCpJHd7EM+3rXAPqTu4Y9Jehg4Dng+d7/+HnCDpPtIVd+5EhEdEfGriOjqtTgIuCJ3J18eeHUOjtftaxwR/wBOBO6WNI5UQX8z3/c4sDNwvqR/5OXA9pnb8zIzMzMzs6oZfGOe2zo6OvcotsFC0oK5dwCSjgZWjIidW/V8/+/f11T2l+3TS3Qewl4dQ9qGFR1Cy4wY0uN1s1J7b+rLRYfQMouMUO87ldD7U/9TdAgt88G014sOoWW2uX6RokNomau2mNT7TiW19tefKzqEllng68sVHULLxI9+XXQILfX+vy8dOFniHJgyfUK/fbcf1j5qQLw2rRrzbOVwvKRPk5axehLYu+B4zMzMzMysBNoGUEW4vzh5HsTqluwyMzMzMzOzHjh5NjMzMzMzs4a0tQ2+yvPgm1/czMzMzMzMrEGuPJuZmZmZmVmDBl8ddvCdsZmZmZmZmVmDnDybmZmZmZmZ9cLdts3MzMzMzKwhg3GpKleezczMzMzMzHrhyrOZmZmZmZk1yJVnMzMzMzMzM+vElWczMzMzMzNrSFubK89mZmZmZmZm1okrz2ZmZmZmZtagwVeHHXxnbGZmZmZmZtYgV57NzMzMzMysIV7n2czMzMzMzMxm09bR0VF0DGZmZmZmZmYDmivPZmZmZmZmZr1w8mxmZmZmZmbWCyfPZmZmZmZmZr1w8mxmZmZmZmbWCyfPZmZmZmZmZr1w8mxmZmZmZmbWCyfPZmZmZmZmZr1w8mxmZmZmZmbWCyfPZmZmZmZmZr1w8mxmZmZm/U7SwkXHYGbWiKFFB2BmViWSVu3p/oh4pL9iMTMbqCS1AXcDPX5mmvUXSe3AFhFxddGx2MDV1tHRUXQMZk0haT7gx8DyEfFNSZ8APhERVxQcWlNJWiwiXik6jlaQNJy6i3oR8V6B4cwVSU/1cHdHRCzfb8H0A0krA6tExN8kLQAMj4jXio5rbuXPkW6V8XeyK1V63ySNAbr9MhMR2/djOE0n6bPA+Ih4R9KewGjghIjo6bOmFCRdB+wQEa8XHUuzSboWOBO4KiIq9WVb0uLAAcAKzPo3u9T/rwFIGh8R6xQdhw1crjxblfwGeAFYK28/C1wKVCJ5lrQB8GfScItlJK0H7B0RexcbWd9J+ipwBvCR3NRG+jI8pLCg5lJELFd0DP1F0q7Aj4DhwN+ApYGzgM2LjKuP3qGHRIwS/k52VsH37cqiA2ixM4G1JK0G/AC4BDgf2KzQqJrjTeABSVeT/t8DICJ+WFxITXMucBBwuqRzgPMi4tWCY2qWy4FHgRuBaQXH0mwTJK0fEfcVHYgNTE6erUrWjIhdJX0RIF+lr9K4/pOBLYE/AETEWEkXFRtS0/wS2B64JyKmFx1Ms0j6HKm6d2a+Uj8yIh4rOq4mOghYD7gDICJC0pLFhtQ3EdEOIOkI4APSF+A24NukZLMKKvW+RURVPge7MzUiOiRtCfwmIs6Q9PWig2qSh/NP5UTEX4C/5F5w+wEPS7oeOC0ixhUbXZ8tUoUL991YF7hT0uPMekFn/eJCsoHEybNVyQf1G5LmoVqT4g2PiEck1bdNLiqYJnstIu4qOohmknQ4sBWpmn4mKfG6ANioyLiabHK+SFXfNrWoYJrsa5267p0kaRxwXFEBNVEl3zdJKwG/A5aOiOUkrQN8OSKOLjayPhuaex59Ddgrt5W+BwRARPy06Bj6Qa0ny2RgEnCxpGsj4gcFxtRXD0laKiKeLzqQFjiw6ABsYHPybFVyu6QfAyMkbQJ8n9QlsSo+yGMTO2DGxFSTig2paf4q6TvAZdSdU8nHl+5Iqu7dBxARz0paqNiQmu7VPHa29ju5M2m4RBXMK2nFiPgngKQVgB7HQ5dIVd+33wA/B47P2xOA3wNHFxVQkxwBnAPcFBEP5/funwXH1DSSvgCMAuaptUXEMcVF1ByStgW+CyxJuoC6ar5oNZT0/pU5eV4EmCjpTmb9m136Mc8RcRtUe34Z6xsnz1YlPwF+CLwNnAj8nZlfoqrgWOB6YClJFwJbADsXGlHzHJv/PauurZRjnuu8HxFTOlX3KjVpDKn77x8BSXoaeA/4UpEBNdFPgHtytRlgbaAq3RSr+r4tHBHXSvoFQERMl1Tq3jmShgBLRsSoWlse+vG14qJqHknHkyZAW410sXsb0jjaKtidNLHbdfWNETFV0gEFxdQsf8w/lVPl+WWsOTzbtlmJSFoe+CJpDOb1taqYDTx5BuDTgNNJFegfkyoP3yw0sCbLX+5XJv1ORkRUZvKYPE59g7x5T1WqEJIWJCXMM943UlfnfxcaWB9Jugf4DHBvRKwjaWng7xGxbsGh9YmksRGxXtFxtIKkiaQLU+MiYq38nv02IrYqODQbpHI1fS/gDxGxdm57OCJWKzYyGyhcebbKkHRiF81vAndHxM39HU8rRMSTpK6JlSNpUeCTefPusi6bU+cA4GJgdVKicgewU6ERtcYI0myrQ0mVzCqtZT0SaK8t5yTpQxX4vQT4C2kt00cB8mRh15Cqf2X2a+CvwIclHQ3sQupBUHa3SNouIv6n6EBaYFKuxHZIGhYRz0n6aNFBNYNSt6MjmH05p9JPPCXpw6Su6J/LTTcA36vIBcYqzy9jTeDk2apkCVLVobY01TbA/cD2kv4cEcd2+8gSkLQR8Atm/iFuI60bvHihgTVBniH9EtIYRYALJO0cETcUGFafRMSLwBfyusHtEfFOb48pG0kHkrrcvwbUZknvAEq/lnUFl3Oqdy1wIfAtSYuRhoMcWWhETRARF0t6ktQFfT5g14i4o+CwmmE34AeS3gfepUKf/cDb+TPyLuAiSS8A7xccU7P8CRhDmsSuMj1ysnNIs6T/gPT7uFduq8JwgirPL2NN4OTZqmQpYN2IeB1A0jGktQg3Au5l5rjasrqAVEUZR/X+EB8LfLauErYKaaKf0ibPkm4mrcX6lyomztlBgCo642qllnOqFxG/knSapFNJn4/H52V1Sk3SZ3Ky/L9Fx9Jkleyyne1I+nt2CGmSz5FAVZbhao+IKszO35UVImLbuu2jJE3odu9yqfL8MtYETp6tSpauJc4AEfGGpI9ExNuSPujpgSXxekSMKTqIFhlWS5wBIuJRScOKDKgJfkWaMOYUSX8Dfle15biAZyuaOEMFl3PKFZSa80gX5G4FJkhatQLd7U+WNBK4CLgwIqowgzgR8a+iY2iViHgJZsxs/POi42myuyWtGREPFh1IC7RLWjwiXoYZ80NUYmnQiLhGUjBzfpmfe34Zq+fk2arkEUnnkrpIAewKPCqpNiaz7P4oaV/SLJBVWc6p5hVJu0XEhTCjy2ypx05FxFXAVXks947AaZIWjIhPFBxaMx0l6Tzgamb9nby6uJCaporLOV3VRdu2+af03e0jYrSkNUif/fdKeph00erSgkPrE0nLkFaQWItZl3Mq9fsFlZ/ZeANg95yI1X8+ln7MM3AS8ICk2mfKVsDhBcbTVFWeX8b6zsmzVckewFGkSSw6SBWVP5CqRVsWF1bTvAz8lpnLObVR/uWcavYB/iDpbNI5TaA63aRqY4HbqMiV+Tpfyj8rM/MCVQcpmS67yi3nFBHLFR1Dq0XEROAQST8hzXR/CVDq5JnUQ+BPpLWQdwK+AzxRaETNczLp7/MfACJirKSLig2paQ4qOoBWyfMLjAc2yU2nRcTDBYbUNJJeYfZlJd8E7gZ+mOczsUHMybNVRkS8RZpUZSnSBCu7AdtExEqUvIqZ/YL0h2p8REzvZd9SiYgngE/mSTqowhhhSV8i/Q5uRJpw6nsRcWehQTXfV4FlI6IqE/zUe4FUOZplOacCS3eWAAAgAElEQVRCI+ojSSMi4oM8QdNsqtCLRdLqpP/vdgAeIc24XXYfjojzJR0UEXdLupf0Rf6nRQfWBJWd2Tgibis6hlaKiIeAh4qOowXOIo29v4D02b8LqQjzHnAu8OXiQrOBwMmzVYKkoaTZtfcgLXc0FPhiRNxTaGDN9XxEjC06iGaStFxEPNVpLCa1L1IlH4N5IGlG450rmlwCPAlMKTqIFqnick53A+sA75AqK21195W+F0uuhM1PWiLuUxHxTMEhNUstmXxH0seAl4DFCoynmSo7s7GkhYHDSD0G6rvbb1ZYUH0k6fcR8S1J9zN7dbYqXdK3jIgN6rZ/IOn+PCykEtV16xsnz1Z6kk4hjSl9kJSsbAc8UrHEGeAmSScAlzHr+KkyJ5hnAFvT9VjMUo/BjIjPQ5oIh+osvdLZ48DNkq5g1t/JXxcXUtNUbjmniFgn/1u14QM1B1SwdwfA7ZI+RFrHehzwAVDqNZ8lLZm7vx5HdWc2voDU+2Fl0mfHHqT3r8xOzf8eUmgUrbWIpA9FxGsAed6ShfJ9legVYX3j5NmqYB9SReUXEXELgKTZrohWQO0LxfZ1bWVPMLfO/1ZuLKak9UlrfFZxIpyaEaSxl2vUtVXi/72qLudUcXdJ2hNYOSIOk7QssFTZZ7mPiEPzzd9Lug1YKHeZLbOxkg6NiEsl/R/VnNl4xYjYVtI2+Tz/AtxSdFB9ERG15H+ZiLik/r48qWIVnA78Q1Jt7o4tgRNzD4kqXpyzBjl5tipYCvgm8Mt8df5iKvi7XcUEs0bSnyNi+97aSuYUqjsRDgARsXvRMTRblZdzkvQUXV/caAM6KjB788nAEqSu6YcBb5MqZaXvSirpc8AqEXGmpCUkrRwRjxUdVx9sBpwvaTtgn4io4szGtSUyJ+fvJq9Tne723ydNxtdbW+nk/8duBzbOTWfVLTe2f0Fh2QBSuQTDBp+IeIPUne3XktYkdY2aJ3/4/SEizik0wCbKX+w3zZs3RcT/FRlPE63YRdsq/R5Fc1V2IpwaSW3A3sDmuel64LyIKHP1ucrLOW2d/20j9YrYrsBYWmFTYG1gPEBEvCppnp4fMvBJOpy0FNBHSKtJDCNd1NmoyLj6IiIek/RZ4HukKvTl1C0pGRE/LCy45nksJ81/BO4B3qDk3bZzD6oNgA9L2q/uroWB4cVE1Xw5Wa7i+tzWBE6erVLyB95Bkg4FvgLsDlQieZb0LeB4Zi4D9CNJh0XEHwoMq08k7UVKvlaWdF/dXQuTZjcus8pOhFPnRFKyUr+2+kpAab/41np4SBqZL8xVRv1SMpLer8rSMnUmRURH7YKVpHZmnRStrHYE1gPuA4iIZyUt1PNDSqGdNJa0A3iXuuS5CiKi1o355Pz3bSRpLoUyW5r0uzg/MLqu/S3SLPelV+V11a05nDxbJUXEFFJlZUzRsTTRIcC6tTUG8+y/15G7BZfU9aRJp84EDq1rf4vyX/U9lupOhFPzRWCdiJgKqas9qbJS2uQZZlTU7wJW7W1fG1AmStoJaMvjnX8E3FFsSE3xfkRM6dSLpcy9O5C0BnARaamjtat2oapG0odJK4AA3FP7rCyriPgb8DdJX4iI64uOp0WqvK66NYGTZ7MSqSXOtdudvkyVTkT8C/gXsHrRsTRbRFwjKaibCIdqrDder41Zv8R3Xv6olHL18hlJi0TE60XHY3Ps+6Rxzx8B7gX+ntvK7hlJGwEduZr+Y6DsvQauIs2O/reiA2kVSV8jrQs8jvS5eIGkvSPiimIja4obJO1DtYbs1FR5XXVrAifPZuXxhKSfMrMb+l6kdXZLr4rrYQJExJPAjIlwJP0b+FhxETXddcA1ubIOqdt22bsl1rwJPJBnXH2n1ljmsZid1mZVp6ESpV+jNSLeJn0u7lVry5+ZRxUWVB9I2ifP2XEAaSLM1YH3SNX0nYqMrQnWzmPSN4uIm+vv6KqtpI4FNqxN7CZpJdIFnSokzyeQJuarzJCdOlVeV92awMmzWXnsS1pC4UHSF+AbSct0VUEV18PsSumrsp38kDRm/Wt5+6+kSksVPEz5q3udVXlt1u7sTkmTZ2C7XL3cIyK+IGk+oD0i3untgQNdRLyab55ESsLqddVWRpPqZ0SPiMclvV9kQE20BRUcspNVbl11a662jo4q9LAwszKT9I+IWEvSgxGxpqQRwC0RsWHRsTWTpH9HRJUqz1ZCkj4aEc8WHUd/kPRMRCxTdBxzK3eN/QlwZERUZqk7SSuSLpaeDhxYd9fCwFER8YlCAmsiSUcDU4DzSRdOdycVrX4JtEXEe8VF1zeSJgKjImJa3h4KPBARaxQbWXPlynMV1lW3JnLl2WyAy8t5dCsibu+vWFqoMuthdlonuLNKfebm5WX2iojX8vaiwG9Kvj43ALnKdySzjuk7tsxfeOvcJ+lu4MyIuKXoYFqs1BWCiDhH0s3A/ZJ+BUxn5rrcixcbXZ98mjQ78xLMPlnkD4oIqAX+O//7s07tR5N+L4f0azTNVeUhO7XP/4+S/mZPl7RqRDxScFg2QFTqi5xZRf2q7vYqwKN12x1AqccpZlVaD7OrdYJrqrZU1fK1xBlmrKvb1ZrdZXQG6W/kQXn726RZ4fcoLKLmWRb4BnBcnm/gLODiPGa4dCSNoeskuQ34UD+H01SSRpPGlf6R1J25Ess55Sr6RZJ2i4gLi46nFSKivegYWuiHpGFjlRuyI+m7pGVBXyNdrIL0+eKlqgxwt22zUpH0QESsXXQcrZRnlR0JXFv2ZT2qrouue8OACRGxWrGR9V1tCEHddhvwj/q2KpC0IWlZlpGkpYN+FhEvFxtVYyTt2tP9Ze3uLOl44OvAPhFxY9HxtELuWTU+It6RtCdp7eATIuKpgkNrGknDqStWVaT3SmVJehLYNK8GYjYbV57NyqWSV7skrQ48FRHvRsT/SloAECWfsKnTGp93102SUxXXApdJOjVvH0R1uu61SZo/It7N2/NRoQnfJH2cNAnhN0mTD54HbEbqjlmqC3RlTY7nwGKkWanfKjqQFjoTWEvSaqTu2peQxgiXeqUFAEnbAacASzNzGb+yd9cGQNLiwP7Aisx6YaD0Q3aAF504W0+cPJvZQHARM5NMSEtFXASsV0w4fVe3xuf43FSlNT5rfpx/Ts7bV5K6u1XBJcDdkv6Ut79BWi6o9CRdCaxGWvZunbqLOndJ2qG4yPpG0jykJZxWYNYv9KWcATgi9oQZ4y8731eV6uXUvK76lqT5Es6Q9PWig2qSE0ndmsdFxPTedi6Zv5H+tt1IRYYS1LlB0omkHjkzhlp5zLPVOHk2G+A6TUA1j6RVqKuAVeQDfUhETKltRMTkPHtnmVV5jU8A8nv20/xTKRFxgqQHgc/lpsMioipV9QuBv9a629eLiNX7P5ymGQMMB+5l5iSEVfAOnXodSZoC3EeasC8Kiao5hkragJRk1tbnLn1lNnshIu4vOogWmS8ivlt0EC2yS/63/iKOxzzbDGX/cmo2GHSegOrquttV+UCfImn5iHgSQNIKlP9qdpXX+ASqV+mDtJwYcEv+uTUirik4pKbKY7ePiYgqrlu6YkSsUnQQLfAT4H3gAtKF012BDwNPknoPbFJYZH13JOkcbo6IhyWtDPyz4Jia5QxJPyNNplW1Cua9ktaIiIlFB9JsEbFc0THYwObk2WyAGyQf5D8F7pRUu1CwFTOrEKVS18Xyb5J+wqxrfFam6pxVsdL3VVIysi1wiqQ3gFuZmUz/u7jQ+i53kX1G0iIR8XrR8TTZk5IWLOus4T3YLiLWrds+XdK4iFhXUqmXdYqIv5G6ANe2H2PmDM5ltzTwfdLFjtrF4Kpc8D4buF3SM8x6YaAKq38AM8Z1z1PbLvtnvzWPk2ezkqnizJ0RcaWkjZm5pu7xEVHW6kOti2Wta339Gp8dwDH9HlHrVK7SFxHjSMuk/UpSO2nyrE1I1b/fUY0upW8CD0i6mvT7CpS7x0D2JjBW0nXM+oW+7Oc1X6eeOcsB8+f7Sr8igaQvAKOYNVGpwufkgaTPyBeKDqQFLiENTRpP+XuJzULSZqQ5V5Ygndtw4FWgzOuqWxM5eTYriSrP3AkzKg6P9brjAFfxtT07q2qljzy3wCbApsA6wBOkL1RV8DAln8m+G5F/quYI4D5J40if+2sD++ZVCcYUGlkf5eW4RpMmsPsbsA1pEqoq+FdFE2dIw5JOKjqIFvklaa6Ly0if/XsCyxYZkA0sXufZrCTy2oPfoIIzd0p6hS6W4YqIUl/plbQosy5V9VqR8TSbpD8C65KWN6pEpU/SZcAawOPA7flnfFeTa5n1F0lLALUusfeWbS3u7uS14tcm/V1bS9LSwG8jYquCQ+szSSeRLnaPYdbPx6u7fVBJSDoOuL1CkyjOUDck4qHaBIqSxkZEaVf/sOZy5dmsPKo8c2f9H6XaJFRTutm3FCR9kdS1bUJuukDSzhFxQ4FhNVsVK30rkC7kPA88C/y7iolzFbvK5vkGjmTm8I/rgWMrMrTlpdwdfSikc63CeZEqmFMldUgaFhHPSfpo0UE1SW2c+gF1bR3MOulnWe0FHC7pbdJ8F21AR9kveGe17x7PSfoS8DTwoeLCsYHGybNZeVR25s6I+Fenpv+WdA+zjhcum2OBz0bEozCjG/DvgcokzxFRxSWq1pO0ILARqdv2wZLmB+4kTRj2p54eXwYV7ip7Bul7zUF5+9vAmcAehUXUBHnN+NOBj+SmKg3ZeTtf9LgLuEjSC6SZxUsvIjYtOoYWqnIV9jRJi5CGS1wKLAwcXGxINpA4eTYrjyrP3DkLSctT/sk5htUSZ4CIeFTSsCIDahZJ+/V0f0T8ur9iaYU8hvsa4Jo84+rWwGGkakvpk2fgv5jZVXYfSccAvy04pmYYHRFr1jYk3QX8o8B4muVEYHvgnqoN2QF2JE16dgjp79tIYLtCI2qi3ANpRk+IqvQ8ioh/SRoKaGZTlH7yOoCIuDTfvB9YschYbGBy8mxWHpWdubPTmOchpM+m7xUXUVO8Imm3iLgQQNJuwCuFRtQ8o3u4r9QTaUhajFRxrv0sR1qK61LSclVVUNWusm2S5o+Id/P2fMyc9b7MXouIu4oOohUi4qV8czLwcwBJF1Dy3gIAkg4lXeyuJWMnS7qoChNtSVoPuJyZXbaHSto2IsYXG9nck9TjOPsqjFW35nDybFYeVZ65s74L2FTgxQqMM90H+IOks0kJ5QRg52JDao6I2L3oGFroGVKyfBuwP2mit0k9P6R0qtpV9hLgbkm13gHfAC4uMJ5m+auk75Bm/60fslOFMc9d2bz3XUrhW8CnaqsRSDqdNPyj9MkzcBqwR0TcBDOWdzoD+HShUfXNlcBE0rJUnS+6VWWsujWBk2ez8rhP0qVUaObO/AUeZq/IjpBUyi+Hklat29wDqC1dNR3okDQiIj7o/8iaT9K1pDGlV0VEqSvOdRaJiCokkj3ZkTT0o76r7NcLjagJIuIESQ+SlpkBOKwiswEfm/89iwouU9iFKvQWAGirX8YvIt6WVJVzm7+WOANExM2STi4yoCY4BtgBeA34HXBNBYdJWBN4qSqzkpDUVZfRjojYrN+DaRJJ0+mhm29ElO7LoaSn6jY7n9swYAHgBxFxQf9F1Rp5IqP9+P/t3XmUXVWZ/vFvEgKRUZBBRWnmRwSBMCrQjIKidtO/EGhpUAMIcWgEZBSwERwYxDAYgYgBggjITDeDDCGgTBKCyGQ/jKIIqK1ICGMC9ftjn0tuVSpVkDqVfffJ+1mrVt17btVaT1ZSlbvPfvf7pnP3E4Cf2P5b3lT1kPR1YKLtFyT9lFSq/jXbN2SOFkKjSfqD7ZVy5xioqvx8CLP7CewNDG1C5U7VT+AI27dUz7cCjrO9WdZgNZC0NTCGtIt+BfCjXpqahgVY7DyHUIgmdu60PRRA0lGks1M/Jr3Z+CKwcMZo88z2Kn29Lul9wGSg+MWz7cuByyV9iLSIfkjSDcCptqflTTdgY2yPk7QNqXndXqSOx8UuniVdQt83q3adj3FqI+kE24fN7c9X6p+rySRNpfd/i0Mov1lky36k0WmnVc9vouwJEu2+BlwmqVVFtTCwc8Y8tbF9i6RbgVHAmcCzwMl5U4VOEovnEArS1M6dwCjbG7Q9P0nSNOB7uQINFtvPSjojd46atd4Ev046UnCepF/YPihjpoFqnbnfBviZ7TskDe3rGwpwde4Ag+S26nOj/nySJtverkdDRWjGTN2DcwcYbFXjusNz56hb9XtweVIn6vZu2zPn/l1lqG4E70ka33cnsEtrdz2ElijbDqEQvXTu/CzQlM6dvwP+xfZj1fPVgKttr5U3WeiLpJ2BrwLvJZ19Ps/2jGqEyWO2V86ZbyCqssSrSFUQ/wz8GXjA9jpZg4W5krSt7Zv7u1YKSe+rbrb9U2+vRylpZ5J0OPCi7R/1uP5V0lnhE/Mkq4+ke3vc8C6epF+TbkxNIvWWmdH+eok9WMLgiJ3nEMrR5M6dRwJ3VbvNkGbQ7psxT3h79gROsH19+8VqDNJ+mTLVZQypFP0w289VN3R+ljdSPaqbG3sB6wMjWtdtlz4e6CSg5xv63q4VoW26wkq2f9X+mqTP04BO4pJ+QGrU9BJpFNwGwFjb52cNNjA703vX6Z8Ad5PmdpfuPkmb2L47d5AatUYwbsTsUntofoO+8A7F4jmEcjSuc6eklWz/wfblkm4DNq1eugv4YMZo4W2w/Zk+Xvuf+ZmlbrYfAQ6o5j5j+3HguLypajOB9P//NsAZwH8Av8yaaAAkrQ6sCSzZY1brUqRZz6UbL2lX2waQtCtwIA1YPAMft32QpE8DfyJVVF1DGjtWqmG2X+950fZrknr7+hJtCNwu6VHadmhtb5Iv0sC0erCE0J9YPIdQjqmSzqF75857Muapw5XM3hW6uv0/XknXU+iOUdM1tfFUO0mbAheTRo19UNJGwL62m1ARsYntj0i63/Zxkk4nlaiXanNSpcAKwCFt16cDJZ+7b9kDuFjSDsAmwH8xexxXU2wJXG77T5JKP0+4hKSFbM9qvyhpOLBYpkx1+1ruAINB0jDgqr5uDIcQi+cQytHEzp3tO+fD+3gtdJZGNWaai3HAjlSl2rbvkTQpb6TatOZYvyFp0WocV7HNp2xPAiZJGmP73Nx56mb7gWp02o2k0tEdbP85c6y6/KVqoLgjcHx1pKD08tjrgHGSDrT9BrzVZOtEoOi549Xfz5dIjcJ+A5xju/SbHW+x/Yak90gaGjOew9zE4jmEAlR3Q0+xvU/uLDXrmsvj3p6HDlEtVppuYdsP9yiznKMUs1B/l7Q06Y38dZL+j1QyWzTb51Zl29tWlybbvi5npoGQ1PNsbBfwMLC/JGwfmiFW3f4D2J3U/PJ5SSuTblyV7AjgWuBxSfdW10YCT5NuEpTsTODDwK9IN/T/CTg6a6L63UUawXgB3UvSr80XKXSSWDyHUIDqbui6uXMMghGS1iLtMrc/hrZGRqEzVbuV+wGr0fb/SRPKtoHXJC1OdRNH0odJY7ia4NPV75QjSYuXd9OA87OSvgP8K3BRdek4SZvZ/mbGWAPxUo/nl2dJMYhs/1XS2aSxR9j+PXBuzkwDZXsGsKWk7Zh99OhHtidnjFWXzYD1bb8u6XvAZJq3eF6/+vzltmtdpBsiIcTiOYSC3CxpPOlNbvvd0IfzRRqwRen+H1L749h57nyXAb8jHSF4o5+vLc13gRuA90s6F/gk6exp8VqlpKTz3A8CT9uenjFSXXYFRlbzdZF0Kqm0tMjFs+1jqqqjvW3/OHeewVBVCkwg/f5YueotcLTtf8mbrBYb9hxLJenQwkdVvdpqhlYd92hUk63q5+3Cpv68hXrE4jmEcny2+vzptmtdwKoZstSi5DnAAYClG9JAaw62r5Nk4BOkaojvtOaQl6oqAz7P9oOS3gXcSSq7HC5pd9slNw0DeB5on8X6anWtWFWFwL5AU9/MH0MaEXQdvNVbYLW8kWrzWeYcS9XbtZKs2OM4QbfnpR8lWAB+3kINYvEcQoeTtIbtR22vkjtLCD08KOn9tp/JHWQw2H6CNMqpKT4DHFY93gN4DVge+BBwNmV33Aa4g3SGu3Umfw/gttb4qoLPLE6RNNr2pbmDDIZqjnr7pddyZamDpO2BHUhVK+0LzaUovxHm6f08b4JG/7yFgYvFcwid7+dU56YkXWZ758x5wgKubVTVUsADkm6n7TxwyWeeJf3U9uckTaWXowMlzzEFXmvrjLs1qTxxJunvsAnvB1pnFdurITaoPko+szgGOEjSK6Rz0EOALtvFdkhv86KkFZjdW2Br4B9ZEw3c66SjVV10P7f+LPC9LIlqYvsYAElL9jzqIWnJPKlqN4bm/ryFGjThP8sQmq79TnWxJdqhUdpHVV2QLcXgOKX6fHDWFINjmKQlSKXNW9K9q/EieSLVx/Y2uTMMko1yBxhEh5NKtleRdAuwBqnpW7Fs3wrcWt3sfrB1XdIHgD0pf8QkwC3MbobW17USNfnnLdQgFs8hdL6+xjmFMN+1RlVJ2tb2ze2vSdq29+8qg+1p1edbc2cZBBOAaaSdvadbf1ZJawN/zRlsoKpGP58F1qsu/Ra4qK05WrFsP1VVBmj2Jc/Kmakutu+WtA2pi/MQ4A7bpe88A1D1FlgY+H/AXqRF2RV5Uw1M9e9wYWBo1TehdXN/KVID0OLZfip3htDZhnR1xXvxEDqZpOeBG6un27c9BsoukQ1lk3Sv7Q36u1YipUOYRzHnGK6Sy7apuhl/ALjB9svVNQGL2v5N1nDzqNrRuwGYTprRCrAp6Q39J2z/MVe2OlR/Z5eRzgIPIf173Nn2vX1+Y0GqRWb7z9nLfXx5x5M0Etib1AH+PtJNnZVsl36e+2jSaKouulfFTQd+YLv4XXVJf6X3IztRth2A2HkOoQQHtD2+JluKECqSVgfWBJZsNWOqNGb3gTQr+BLgHBo0hqvqZryt7SvbrlnSoaSxTiUaB/zY9intFyUdCJwMjM6Sqj6nAnu15gRX1R0/BDbPmqoGknYmHZV4f3VpCGnhMixbqAGSdC+wGDAJ2MD205KeLH3hDG+deT5G0njb/5k7zyBpL9seAewOzMyUJXSgWDyH0OFaJbIhdJDNSU1VVgAOabs+HTgoR6BBMNR20c19+tC0ETob9FaBY/tkSV/NEahmi7UWzgC2b5Y0rq9vKMj3gVHANNtv5g5Tk5mkHgKLMPt9dtPKPI+QNNT2m5LWAdYBLm/NgC5ZL2Xb/yXpLppxVj3UIBbPIRRC0vKkHZaVbG8paV1gM9tnZo4WFjDVDZ1JksbYPjd3nkFyp6R1bd+fO0hdGjxCp2kLk55elrS17VsAJG1F93nWJXvW9tTcIepke1NJHyadc76zmhe/uKRFSy9HbzMF2LJqQHg98CDwSdJN1UaRtCpppF8IQCyeQyjJWaSupF+pnv8vcD4Qi+eQhe1zJa3GnOeCSx0J1G5TYM/qjW/7GK6Szzz3NULnuCyJ6vGYpFG2L2+/WJUEP54pU532By6V1Cr7XRhoysjCH0r6NqmRVvvP2cP5Ig1clf9gSYeT5qvvDTwr6Vrbu+VNV4shtl+StBtwlu1vSXogd6g69DjzPBQYTvoZDAGIxXMIJVnR9pmSxgLYfl1SU8rcQoEkfQ/YB/gds88FlzxPt90B/X9JWeY2QqcBDgFulDSa2Q3DPkaaZb19rlADVXWhvsP21KrPQHu37aacwVwR+DrwBbr/DmnEWMaqK/qVwJXVPOsvZI5UlxGSFiH9fI2vrjWlN0T7medZwHNN6Nof6hOL5xDK0W00iaR3U3apZSjfrsBqtqfnDlK3ho6qanlM0t7MWTFwaL5I864aCbQWsB/wz6Tfi78FvmL7+azhBuY0YDVJd5Nm6E4B7mzQwhnga8Dqtp/NHaRukrYE7rU9o/p52xg4IXOsuvwceA54FLhd0ntpqxwoUTWy7322b+px/eOSnim9GiLUJxbPIZTjckkTgCUkjSGVb5+dN1JYwD3bxIUzgKSlgMOA9UkdVwGwXfQc68olpNLfX5PGHxXP9j8kTbT9TPt1SevZ/m2uXANh+yOSlgW2Iu2ijwdWlfRrYEoTxgIBTzVx4VwZD6xXLcoOIh2zmggU/zvE9jGSTgNeqJqGzaD8owTHkcYT9vRn4HjgX+dvnNCpYvEcQiFsnyhpd+DdwKeA02yfnzlWWLDdKelC0mKs/bxiE8q2zwYeJo3k+iap+c+0rInqs7rttXKHGARXSNrO9gyAqmnTpcAaeWPNO9v/R5rxfFnVnGkUcATwLZrR/ffuBv8OmWW7S9KOwBm2fyhpl9yhavQmsJGkEW3X/pQrTA3e21uDSNsPSFolR6DQmWLxHEJBbP8M+FnuHCFUNq4+79d2rSlnnle3vbOknWxfKOlyUtlsEzwhaQnbL+YOUrOTSRU6nwJWJp01LfaMqaTFSWXo25B2n0cAt5MWzk05VrBh9bmJv0MWkrQp6YbHPtW1YudXt5P078BJwNKkBfPqpKMSG+TMNUBL9fHa8PmWInS8WDyHUAhJlwH72P579fw9pLvZc8w3DWF+sL1N7gyDqFXO/LqkZYDngeUy5qnTC8A9kq6n+25fkWeeW2xfJOmDwEXA2sC+tu/IHGsgngemkm4KnGD7b5nz1K7hv0OOAiYAk20/JGlN4LHMmepyBOnGx/W2R1Zj8EZnzjRQf5U00vZv2i9KGgn8PVOm0IFi8RxCOVZtLZwBbP+t6sAaQjaSPgF8vHp6g+0bc+ap0SPVovkCUgfnf9Ccsm1XH41Q7TS3PExqZHcjsKikTxVcAnwgsCXpLOajkm4h7ThPLb37r6RVbD9ZldbPofTmTJKGkcqA129ds/0IaRe6CWbZ/oukhQBs3yip9GZo3wauknQscHd1bRPSsZ2x2VKFjjOkq6ur/68KIWRXzRL/KngAABYVSURBVFBcv/WmSdJw4D7ba+dNFhZUkg4hlcVeWF36LDDJ9kn5UtVP0hakXgO/qEbPhA4iqa9y+q4mNHmruolvRVpMbww8bvuTeVPNO0lX2/6MpCd7ebnLdvGjqiTdY3uj/r+yPJLuADYnncefAvwe+IHtNXPmGihJO5AWy63y82nAd21fny9V6DSx8xxCOX4B/FzSKdXzA6prIeTyOeBjrbOzVffV20ln4YpXdTr+aPX0rqYsnCUtD4wDVrK9paR1gc1sn5k52jxpeOkvkoYCiwNLkm7iLE/5Z2evBbDd5EZMUySNtn1p7iCD4CjSv8fDgDNI54W/nDVRDWzfANyQO0fobLF4DqEcR1Qf46rnV5PGJ4SQy5D2plO2X5TUiNnjkkYBPybtPAwBzpa0r+0r8yarxVnAdaRxdwD/SxqjU+TiuUXS54CrW7Odq7L7HatGi8WpKju2BrYgnX++FbiYNL/69/mS1eKLwOm5QwyyMcBBkl4BXiL9HumyvXzWVDWwfXP18AWqYzuS9gEmZwtVI0nbAavRtk6y3fR/r+FtisVzCIWwPRM4pvoIoRNMlXQOaTEG6Q3xPRnz1Om7pN3YRwAkrQH8N6mDc+lWtH2mpLEAtl+X9GbuUDU42PZPW09s/13SwZQ7oWBdUlnsfrafyB0mvGONLNnuwzeZ/X9BsSRNIjVDuxdo9RaIM67hLbF4DqEQ1SzF3ZnzbmjRHXJD0fYjvWE6jfTm4iaaMXsW4NXWwhnA9qPVDlITdCs/l/Ru0q5YExVb3mz7c7kzDKJVJF08txebMEXC9lO5M8xnTfkd8jFg7WrDIoQ5xOI5hHJcAiwM/JrZY3RCmO8kfaXt6R+Ac6rHXaRSxSaUt10l6UhgIulN4Z7AlZLeRSpXfzlruoG5XNIEYAlJY0jl22fnjVSL5ySNsn05gKSdgb9kzjTPJE2ljx0v25vMxzh1mw5ckzvEYKrGpp0IrEea0Q1AE5qhzUVTdmf/mDtA6GyxeA6hHKvbXit3iBCA8aSzwA8w525DU95A/Vf1uedO+rdIf8aSdzRPlLQ7qfnUp4DTbJ+fOVYd9ifd9DiR9O9yJrBT3kgDcnDuAIPob7Yn5Q4xyM4mzRxfn1Q19mXg8ayJBqj62erNEFLTsGK13RR+BJgs6Urg1dbrceY5tMTiOYRyPCFpifYGTSFkshdpRNU6wCTgglaTpqawPTR3hsFUNdEq9Sxwr2z/bzU3WLMvlTsP2fatuTMMoqaU+PZlWdsTJR1g+05JvwbupOy+JS/18dq4Pl4rwcZtjx8HPtL2vCk3hUMNYvEcQjleAO6RdD3d74bGmecwX9k+FzhX0iqkRfQd1Rzy79i+P2u4mklamO49Bkou1wZA0mXAPrb/Xj1/D3BGE86ZkhbOrdFVb5I6iRdN0lKkkUDr0738t+T51U0+z93yevV5hqSVgD8Dy2XMM2C2S17498n2ngCSlrQ9vf01SUvmSRU6USyeQyiHq48QOoLtJyWdDDwHHEuaj9mIxbOk0cDJwIqkXYchFF6u3WbV1sIZwPbfJK2eM1AdqlFVx1PNEAa+IemwUkdVtTkbeBhYk9Sgby/SsYli2X4Q5nqu+wXSDu2JtmfM72w1+mU1Lu100t/Xa0AjZj5LWhT4Bul3ye6SPgR8qCGj/G4BNngb18ICKhbPIRSiyXd8Q1mqWc6fIDXRWoc0e3ZT209mDVavE4FRwDTbTRjj1G4hScNaJc2ShgOLZM5Uh4OBDW0/ByDpvcD1lF+evrrtnSXtZPtCSZcDU3KHqslkYA3S8Q9IO9LPkG5anUHBO9S2D6ke/lTSrcCSrZsGDXAG8CypGgLgaeBCCh7lJ2khUlPWoa3GkNVLSwGLZgsWOk4snkMoiKQdmLN079h8icIC6mnSG9xzSTvOXcC7qvOm2H44X7TaPGt7au4Qg+R64OeSTqmeHwD8ImOe2rQWzq3Hkvr68lK0piu8Xu1kPk/h5b9ttrL9sdYTSVcDd5DGBRX/e0TSdsBatsdLWkHSmu0j8Aq2ru0vSPoEgO0ZkkrvE3EkcDTp/7P2s93TgR9kSRQ6UiyeQyiEpONJDS3WBq4idZG9KWuosKCaCSxL2uk7iO7Nf7qAJoxi+aGkbwNX0L3HQPFv6Enllt9gdoOfq0nlzqV7XNIxwITq+T7AExnz1OWRatF8AXAX8A8KL9tus6ykEbZbP2OLAMvY7ip9rrqkw0nd7N9HmlAwnFSCv0XOXDXpNi5T0gig6MVzVd13jKTxtv8zd57QuWLxHEI5Pg2MJJWRjpV0LHBW5kxhAWR75dwZ5oMVga+TGqK1OjYXf2NA0jDgdNv7kKoGmuRLwGmkc/ddpJuLY7MmqoHtPaqH4yTdTRoxdl3GSHW6GLhT0sXV89HApZIWB36fLVU9dgM2Au4GsP10gxpP/VLSEcAikrYm/a68Km+kesTCOfQnFs8hlONV27MkdUkabvtPkj6QO1QIDfU10lnTZ3MHqZPtNyStmzvHIHnV9mfbLzRhsSLpFNsHANi+rXWNVG5fNNtHSroL2Lq69C3b/1M9HpUnVW1esT2zx9GBpow8OhI4FHiR1B/ivym8ekXSZNvbSfor3f+ehgBdtpfPFC10mFg8h1COF6sOl3cAkyQ9CxRd1hZCB3uqaQvnNjdLGg+cB7zVzbgBJem30MwuuVv2cm2r+Z5ikFSL5f/p9wsLIWms7QnAHyVtAXRV54GPAB7Km64etmcC360+mqJV4bFR1hSh48XiOYRy7AbMIp0z/TqpdG901kQhNNfdki4ELqH7medr5/4txWjtzn667VqxJel9dMl9NwV3yZW0C7ArsHJbWTOk7r/FzxsHUNqWPQpYje7z1DfJFmrgRksaBXwRmEiaSPAy8CtmL9CKJuk0UpVA+6z4b7YqJAp1vKRbgCm2f585S+hgsXgOoRzb2z4feB34DoCkPYDzs6YKoZk2rD7v13ati9kzhItle5XcGWrWW5fcLlJJacldch8BrgE2qT63TCeNeGqCi0g3qM5hdm+BotneXtJY4DbSv8udgGGFz6zu6Z97mRVfejXE/aSjAuMk/YNUtXILaTH9h4y5QocZ0tXVlOMXITSbpHttb9DftRBC6E+PETrLA+8ufYROq0uupKVJZ2ifsP3bzLEGTNIy7QuVJpH0W9vr5c4xGCStAUwlVYy9NSu+CWdnJd1ve90e1x60vU6uTHWpSuxHkn6HbA1sDjxve7WMsUIHiZ3nEDqcpI2ATUkjPb7S9tJSpFLFEMIgqGaYfrx6eoPtG3PmqUsvI3QWpuAROpLOB75fLZyXAX5L2p1dVtKRtn+SN+GADZV0EbBd9fxGYH/bf82YqS53SlrX9v25g9RJ0sak3fQLgJNoyK56m6mSTiU1CxsCHEK6UVA8229KepnUU+YV0mi4x/OmCp0kFs8hdL4VSQ0sFiPNeW6ZDozJESiEppN0CGlM1YXVpXGSJtk+KWOsujRthM6GbTvMnwN+Z3uHahrB1UDpi+cJpEZTrZnq+1TXSu9GDenG8J6STPfeAsWeeZZ0PLALMNb2TbnzDJIDgVOA35COSFxN4d3fJX2ZtNO8HvAo8EvSsY9ptmdljBY6TCyeQ+hwtq8CrpK0g+0bcucJYQHxOeBjtl+Etxrk3E7aRSpd00botE8d2AK4At66KVDyn6tlNds7tz0/WtJ92dLUq+gF11wsB4y0PT13kMFS/dn2yp2jZqeRds+PAW62/efMeUKHisVzCOVYWtKStqdLOpbUROZI29NyBwuhgYa0Fs4Atl+UNKSvbyhI40boSHo/8Dxp5+jotpdGZAlUA0kTbe9NKtte3vZfquvLA0PzpquH7VtzZ6hb9XfWeFXfhJ5d0k/Pl2jA3kO6+bYVsL+kxUg3TG8Bbm3w6MLwDsXiOYRyHGX755I2AT4BnAr8ENgsb6wQGmmqpHOAs6rnewP3ZMxTi+pM8KnAN+k+Qmf3nLkG6DjgPtIkgtta86olfRQouUvuyOrzScBvJF1DKtveEfhGtlQ1kHSC7cMkXUIvVQ+2d80QK7xNks4lHf24l9nnuYuu8qh206+tPpC0OLAzaSd6dWBYvnShk8TiOYRyzKw+bw/8xPYFkg7OGSiEBtuPtMA8rXp+E/DtfHEGTtK/k5oYvQgsQnpjOKX0ETq2L5H0K+C9pGZhLX8gnQ8umu3zJE0j7aoDnNy6QVCw26rPV2dNEebVZsDatmf2+5UFkbQcs7tsbw2sQuoNcUG2UKHjxKiqEApRvXk6ETgK+FfbTzZlNEQIYfBJuh/4vO37JG0DHG1768yxwlxImkkqRW9pHRvogmaMPAplkjQZ+GSTFs+SHgZWJlUYTSGVa99h+7WMsUIHip3nEMqxH3Aoadf5yWqG5JTMmUJolGqM04u2f9Tj+leBxWyfmCdZLd60fR+A7SmSxuUOFPr0CGmkWGNV57f3Y86zs1G23dkeASZLupLuXdJLPvO8H3C77Vf7/cqwQIvFcwiFsH0H8G9tzx8l/bIPIdRnZ2DzXq7/hFS+V/LieWFJazF7B3OR9ucNKAVumtdsP5U7xCC7DPgd6VhE02YhN9kI0uzjj7RdK7qU1fZkAElbAvfaniFpb9KI0BNsP5k1YOgYsXgOocNJ2t/2qZK+T++NVQ7NECuEphpm+/WeF22/1mO0U4kWpWqG06b1vAtYdf7GCf2Y499hAy1te9/cIcI7Y3vP3BkG0XhgPUlrk2arnw9MBLbNmip0jFg8h9D5WiVEM+i+eG7K2JwQOskSkhayPav9oqThwGKZMtXC9sq5M4S3z/ZHc2eYDx6U9H7bz+QOEvonaXPbt0vq9TiB7Z4350o0y3aXpB2BM2z/UNIuuUOFzhGL5xA6nO0JkjYG1q4+uoAHgR/Ynpo1XAjNcx0wTtKBtt8AqGYhnwj8ImuyEJpnaeABSbfT/exsnHnuTGNIs48P6eW1LuasbCnRQpI2BUYxu1t/jKkKb4nFcwgdTtLHSP8hnUEalzCEdAbnekk72v51znwhNMwRpJ+3xyXdW10bCTxNmq8bQqjPBcQYoGLY3qf6vE3uLIPoKGACMNn2Q5LWBB7LnCl0kBhVFUKHk3QFcJ7tK3pc3wnY0/a/9f6dIYR5JenjpEUzpOYxk3PmCSGE3Ko5yC/Zfrl6vgUwGngC+FGrWqdUkoYBe9v+ce4soXPF4jmEDifpEdtrvtPXQgghhE7U1giz1+710QizM0m6DfiC7ceVOijeA/wUWAu4z/aBWQPWQNI9tjfKnSN0rijbDqHzvTyPr4UQ5lG1o3Ics+fPDgG6bC+fNVgIzdA63/xS1hThnVra9uPV492AS21/RdII0kK6CaZIGm370txBQmeKxXMIna/nbNZur83vMCEsIM4GjgSmEfNnQ6iV7QnV52NyZwnvyGttjz8KnAdg+1VJM/NEqt0Y4CBJr5Bu7sSN09BNLJ5D6Hy9zWZtiXMXIQyO521fkjtECE0naQdgfWBE65rtY/MlCn14oRrh9AywOWmh2ZpIMKKP7ytJlGyHPsXiOYQOF7NZQ8jiAklfAi6m+widOCoRQk0kHU+aHrE2cBWwE3BT1lChL/uTuqOvCBxr+7nq+mdoSNm27adyZwidLRqGhRBCCD1I2g04C3hXdalVuhfzPkOoiaQHSF3tp9leT9KKwFm2P5U5WlhASfogcCKwHt2rIVbNFip0lKG5A4QQQggd6Dhga2C47WG2h8bCOYTavWp7FtAlabjtPwEfyB0q9E3SlpIWrx7vLelMSavkzlWTs0nVD0OA3YHbgElZE4WOEovnEEIIYU7P2L7H9pu5g4TQYC9KWhS4A5gk6QfAK5kzhf6NB16StDZwEPAHYGLeSLVZ1vZEYJbtO0nnuqMSIrwlFs8hhBDCnCZLOkHSBpI+3PrIHSqEhtkNmAUcDDxMaoK5S9ZE4e2YZbsL2BE4w/b3gKUzZ6rL69XnGZJWAoYDy2XMEzpMNAwLIYQQ5rRH9XnXtmtdQJx7C6EGkoYB37G9D2nB8p3MkcLbt5CkTYFRwD7VtaYca/mlpGWA00mjCl8DYuZzeEssnkMIIYQebDfl/F4IHcn2G5LWzZ0jzJOjgAnAZNsPSVoTeCxzplrYPqR6+FNJtwJL2n4wZ6bQWaLbdgghhNDD3Eq0bT88v7OE0DSSJtreW9JxwBLAecCM1uvxc9a5qoqBvW3/OHeWwSJpO2At2+MlrQAsZfuR3LlCZ4id5xBCCGFO17Q9HgGsADwFxI50CAM3svq8G+k4xKfbXovjER2sqhjYF2jk4lnS4aQGYe8jNUYbTurAvUXOXKFzxOI5hBBC6KFn2Xa1E7FjpjghNJLtlXNnCPNkiqTRtpt4Fng3YCPgbgDbT0taMm+k0Eli8RxCCCH0w/ZkSd/PnSOEhviIpL/M7UXby8/PMOEdGwMcJOkV4CXSTOSuhvy9vWJ7pqT2a3HGNbwlFs8hhBBCDz3OPA8FNgEWyRQnhKZ5hJidW7KNcgeom6SxticAf5S0BdAlaShwBPBQ3nShk8TiOYQQQpjTNaTdhiGkObSPAl/ImiiE5njN9lO5Q4R509C/u9GSRgFfBCYC6wAvA79i9ujCEGLxHEIIIbS07Th/psdLUbYXQn1ezx0gzDtJHwROBNYjNVQEwHaxjd5sby9pLHAbcDSwEzDM9oy+vzMsaGJUVQghhFCR9GT1sPWf45Dq8RLAMraHZQkWQggdQtKNwEXAwcBewJeBx20fkzVYDSStAUwlVRy92brekPPcoQZDcwcIIYQQOoXtVaqPVatdlHWAc4A3gHF504UQQkdY1vZEYJbtO0kNxIo/wy5pY+AK4AJSn4uN2z5CAKJsO4QQQpiDpIVIuymHAdcCG9r+U95UIYTQEVpl9zMkrQT8GVguY54Bk3Q8sAsw1vZNufOEzhWL5xBCCKGNpM+TzrzdA2xr+5HMkUIIoZP8UtIywOnANOA1oPSZz8sBI21Pzx0kdLY48xxCCCFUJN0PLA58i7R47sb2w/M7UwghdKpq53lJ2w/mzhLC/BCL5xBCCKEi6ffMbhbWGlXV0lVyN9kQQqiLpO2AtWyPl7QCsFRU6YQFQZRthxBCCBXbK+fOEEIInUzS4aQGYe8DxgPDgbOBLXLmCmF+iG7bIYQQQgghhLdrN2A7YAaA7aeBJbMmCmE+icVzCCGEEEII4e16xfbMHtfiHGhYIMTiOYQQQgghhNAnSWOrh3+UtAXQJWmopKOAhzJGC2G+iTPPIYQQQgghhP6MljQK+CIwEVgHeBn4FbBHzmAhzC/RbTuEEEIIIYTQr2r3+QjgaODnwDDbM/KmCmH+icVzCCGEEEII4W2RtAYwFZgFvNm6bnv5bKFCmE+ibDuEEEIIIYTQL0kbA+cAFwAnAW/kTRTC/BWL5xBCCCGEEEKfJB0P7AKMtX1T7jwh5BCL5xBCCCGEEEJ/lgNG2p6eO0gIucSZ5xBCCCGEEEIIoR8x5zmEEEIIIYQQQuhHLJ5DCCGEEEIIIYR+xOI5hBBCCCGEEELoRyyeQwghhBBCCCGEfsTiOYQQQgghhBBC6Mf/Bye6+4e33+MgAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1152x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 4-VAZIFA: Dataset uzunligini toping, ya'ni umumiy nechta qator(row) dan tashkil topgan\n",
        "#### - Attrition(ishdan bo'shaganmi) ustunidagi \"Yes\" deb javob berilgan qatorlar soni\n",
        "#### - Attrition(ishdan bo'shaganmi) ustunidagi \"No\" deb javob berilgan qatorlar soni\n",
        "#### - Attrition(ishdan bo'shaganmi) ustunidagi \"Yes\" deb javob berilgan qatorlar soni umumiy datasetning necha fozini tashkil etadi\n",
        "#### - Attrition(ishdan bo'shaganmi) ustunidagi \"No\" deb javob berilgan qatorlar soni umumiy datasetning necha fozini tashkil etadi\n",
        "\n",
        "**Hint:** har birini ekranga chiqarish uchun print dan foydalaning\n",
        "\n",
        "\n",
        "<a href=\"https://imgbb.com/\"><img src=\"https://i.ibb.co/28VjRyB/img.png\" alt=\"img\" border=\"0\"></a>"
      ],
      "metadata": {
        "id": "RYu99y9T8XrY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "yes = df.Attrition == 'Yes'\n",
        "no = df.Attrition == 'No'\n",
        "print(yes.sum())\n",
        "print(no.sum())\n",
        "print(\"Yes: \", yes.sum()/len(df.Attrition) * 100)\n",
        "print(\"No: \", no.sum()/len(df.Attrition) * 100)"
      ],
      "metadata": {
        "id": "7sHkGw4u8Y6n",
        "outputId": "920738a5-6050-44c8-ecab-c9c80cf41091",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "711\n",
            "3699\n",
            "Yes:  16.122448979591837\n",
            "No:  83.87755102040816\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 5-VAZIFA: Countplot() orqali Attrition ustunidagi ma'lumotlarni \"Yes\" \"No\" soniga ko'ra, ustunli grafik shaklida tasvirlang\n",
        "\n",
        "<a href=\"https://imgbb.com/\"><img src=\"https://i.ibb.co/Px9Bn6J/plt.png\" alt=\"plt\" border=\"0\"></a>"
      ],
      "metadata": {
        "id": "wcqV7Cfm9ssp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "sns.countplot(data = df, x='Attrition')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "dTS-HrvM9tdg",
        "outputId": "7d34b99a-1bba-4b44-bbb0-069794cf854a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 6-VAZIFA: Countplot() orqali Attrition ustunidagi ma'lumotlarni \"Yes\" \"No\" soniga ko'ra hamda gender ustuniga bo'lingan holda ustunli grafikda tasvirlang.\n",
        "\n",
        "<a href=\"https://imgbb.com/\"><img src=\"https://i.ibb.co/R7BC8z2/bygender.png\" alt=\"bygender\" border=\"0\"></a>"
      ],
      "metadata": {
        "id": "U8C6d9GuIJus"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "sns.countplot(data = df, x='Attrition', hue='Gender')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "IHuArXLLILEB",
        "outputId": "00282e3f-4ee0-4cbf-99c6-63dcb2db15a9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 7-VAZIFA: Countplot() orqali Attrition ustunidagi ma'lumotlarni \"Yes\" \"No\" soniga ko'ra hamda jobLevel ustuniga bo'lingan holda ustunli grafikda tasvirlang.\n",
        "\n",
        "<a href=\"https://imgbb.com/\"><img src=\"https://i.ibb.co/kmzVfDK/byjoblevel.png\" alt=\"byjoblevel\" border=\"0\"></a><br /><a target='_blank' href='https://the-crosswordsolver.com/tobagos-island-neighbor-8-letters'></a><br />"
      ],
      "metadata": {
        "id": "2tAmAxOXKCa0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "sns.countplot(data = df, x='Attrition', hue='JobLevel')\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "P0OEMc9UKvgP",
        "outputId": "dbe175e6-3ccc-440d-913b-2de55f22d94f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        }
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 8-VAZIFA: Pie chart orqali \"Attrition\" (ishdan bo'shaganmi) ustunidagi Yes va No qiymatlariga ko'ra grafikni chiqaring\n",
        "\n",
        "<a href=\"https://imgbb.com/\"><img src=\"https://i.ibb.co/LZ4cCKb/PieChart.png\" alt=\"PieChart\" border=\"0\"></a><br /><a target='_blank' href='https://the-crosswordsolver.com/netman-smith-4-letters'></a><br />"
      ],
      "metadata": {
        "id": "vKqBcTPhL3-3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "plt.pie([yes.sum(), no.sum()], labels=['Yes', 'No'])\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "_m1tHdofL7RS",
        "outputId": "140efdab-1bf0-4390-ef08-67807e7923d4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        }
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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BUDjuXJFRImLG7LWyo0jz5sdbVIWz76NtfSBp/FDOczKb19ienX8/pf1GLaxA8cQL+O05/JxmV6hrSmNbbcIBcLzMHNLL6aYTlyfWvE+ntD5QPvWnYsXnjWJtdaPsKNItqaqJWrZ7qswMsstZyAPB8akNyyTHIJFhE6BWDGa3P7FU9veEL6xYX8ct250qM4PsL8SpmR3rTc9KS46R37geRtkZ/4FH5qzPm3uaB7N+axN0TRkIoFhWBqnlFFZ6SmrjMjqllazk5EvdXc2W++biLbKj+IbjetiwtTkD4ARZGaSW0xPuKZmtVTm3NVtPovc5ApERk3Jq7dlsWVJVE8uYzhmyxpdZziKu6v3MmmqJEfIcV1B+7s+8uUt2YncTvbU40MoN9cwVXl6Wc6JZW52m9WjlKTxuqrDUqPjrrNWyo/jSph3NUBRWAaBSxvjSyils66T0phX0flMStbAcxZO+w+94eiWdzn4F4QFV1Y0W2jYmyjpp5fQc87T01irZV4vzVtnZPxUrNzWJ1Z83yI7ia59U1cSSGfssGWPLKkeAayHD3LFB0vD5LXLkOAQqD2N3PEn3NA9m1cZ6sDw7ch7uphMmTdnLPqaHUXbmjzDj9fUsY9E9zYPZWdcKXVPLIWHTL1nlHGHVbaXvDAlKJ093a1scd+6izbKj5ATH9ZBMWxm07YOSVVLK6Ql3hLXrc1+tEZoP9D6HI3LUCcotdE+zQ+qa0g6AQdkeV0o5hZk6xqrfQd8g2cQ4ys/5mffGkh1ebSM91N4RO+uSKoDB2R5X1mmtYTfRLtXZVDj2bGEHYt7Ds1bTjKwO2l6XCLuu6PQ+m50lpZxM1fs7TZ3a7Jd0glpQjuLjL+J3PLOKrs52Qm1jiqVMZ0S2x5XxxYoyznU32SJh6PxUdvY17prNzWLVxnrZUXJSbUMKnofDsz2ujHKWCjNlShg3L4WNsQj0PoL//vH8WHu2O9Q2pRBQed9sjyvjC1YizJQrYdy8w7QQys+8Bo/N3cAyFs1h7qyG5jS0AC8AkNX9YqWU000naOXoLCiZPN3dnXDcOQvpyZ9DITxgT9JKAxiYzXHlHDlTCbpi2M203ochdvSJ9JxmF6lvTrsABmRzTDlHzlRL1qdC5RXGUXHOdd6bS3d4uxronmZXyFgukOWt6eWUM9lC+292o8IxZwpbL/L+/DLd0+wqtiMYgEA2x8x6OT3XLhWZVjpydhMlVoriEy7mdz1L9zS7ktO28FlWDyrZ/wJ6gEeXg7pN+Vk/dtduaXFXrK+THaVHsV3BkeUjZ/aPYIw5jNMP9e4QOuwbCA0ZpaSqavGr6cfKjtOjDO1fFARQkM0xs19Ozm0wKmd3sBt3eokV88Uw2UF6oBBGMiCc1U11s15OxrhLR87u4TTVsPq5D9Otk25Qcd71rYHiXlmd/yijJS4Yp3edJLdwBQCyOrNNSjkZV2gVBJJTmKJ4ALI6B1JGOR0oVE6SW5RwgQCQ1e3XZJSzQYkUWRLGJaTTlHAhAGT1/pSMctaoBaX0iATJKTwUDSAvyhktoWllJKdwPawjD8q5i4cLaPoeyRlMDwOecABkdaFlGeWs41ooSBMRSK5QwgXwHDvr6+rIaIjtuXZKCWd1JhQhnaaEC+AJN6tXagFZi0q7doMSlbabNyEdEijpDQBZ39hHzrmlEJ8HiqVseUhIh2kVAx2uR5Zke1wp5eR6eIlW3p8mIpCcoFcOSTHO12Z7XDmLSivqaq1ySFLG2IR0VKC8PweQH+UEUKX3GiRpaELajwV0KMFYEMCmbI8trZxKtDjIVFpKiPhboLQvhJ3ejixPegfkldMSVmaLVpHVZUAJ6TCtvD/geWtkjC1vJgBjS/TeWd+4iZAOCQ08KsOD0fkyxpZWTiUYeSc0eFSrrPEJaY/Q4FEOY+w9GWPLnEM3PzToaBWgOfDEn5RoMXg4xgCskjG+zHJuBdCkVWR1hXtC2i04cAQ821wMQMo9ecmzz9m80OBRtJ4Q8aXwkNFpJRSbLWt8qeXkeuj18NAxCZkZCPkqoSGjXQDvyRpf9nNb7+p9Dg9Cocc7ib8oBWXgeoQBkHIbBZBfzibPtqqD/Y6UHIOQL4oMHePBtedB0vtNQH45wbXgM9ERk7L6hDkhBxM7+sQED0aekplBejmZoj4dHT5p36K9hEinRAqhVQzQALwlM4f0cgKo9jx3Q3jIaNk5CAEARI4c7wnHfhNZXjPoQH4oJ7ge+Uts9Mn0CBnxhdgxUxJKMPI32Tl8UU7G2N9DQ45RmZbVXb0J+TdqUS8ESnozSD6lBXxSTgD1nmN9FBl6nOwcJM/FRp3kwPNeAGDLzuKXckIJRR8u+OZpNCGByKOoKDj2TJtrwT/JjgL4qJwAZmkVAx16xpPIEh0+EQBWAKiSHAWAv8ppMUX9Y9HEaSnZQUh+Kpo4LaEEI3+QnWMfP5UTTFH/Ej5iDFNiJbKjkDwT7D8carRkD4A3ZGfZx1flBNAETzxZOPZs2iKQZFXRhPOTLKDfCYnT9Q7kt3KCa8F7Cr5xmqDbKiRb1MIKBAeOAOP8SdlZ9ue7cgKo9oQ7v2D0FN/8BCM9W/HxF2XgeX8B4Ktlc/xYTijByC1Fky4wWUCXHYX0cIGyfogMG+9wLXi77CwH8mU5ASxnnM8vPG4q7YBNulXpKZclGee3AWiWneVAfi0nuB6+oWj8+Q4PRWVHIT2U3s9AsP+wNFMCD8jO8mW6rJyGYWw2DGONYRj8gM8d1cmX3AB4zxSfcLHZRREJ+YKyU69qZQHtPyH56ZOv0tVHziiA6V31YlwL3RwbeZITKO3bVS9JCAAgfMSxCJRU1jHGn5ad5at0dTl/C+BWwzC+sAmKYRiHG4Yx3zCMVYZhLDcM4/R2vl4d48qtZWdcTY+TkS7DlADKTv9hkuvhawG4svN8la4u51IAywD8+IDPPwPg2Xg8PhLA9wE8bRhGeXtekCnqA3rlYY0RY1zXJiV5q/iE71pcD78P4HXZWb5Od1wQ+i8ANxqGse9KDgMwGsDjABCPx6vQNrm4vW2zuB76btnZ16R5uKDLw5L8olUORsGxZ1hcD18pO8vBdHk54/F4HMBcADd04csuYlyZUX7mj2hSPOk8rqDivOuTTA38FECN7DgH0123Un4L4CcAYgA8tB0pLwUAwzCGARgFYHFHXpBrwRtDg0c2RI6k01vSOUXjz3PUaPFyxvhM2Vnao1vKGY/HtwN4CsC+x0suAfB9wzBWoe395/R4PF7XwZdNcy10UdlZdHpLOi5Q2hdFE6dZXA9PR9sBw/eY5+VEzv8jrMx96eqVV9W+dE9YdhaSI7iKflfekwyU9r2ZKaovJxx8Gd/OEPoqXAveFBo8cnds9Mk0MZ60S+mUy0y1sHwRU9QHZWfpiJwrJ9pOb08vnXJFSu9zuOwsxOfCxljERp7UwvXwRciR09l9crGcABDnWvCSyot+k1IihbKzEJ8KlPRGxdTr0lwLTgXQJDtPR+VqOQFgNgvo9/e68OYkbeVADsS0ICovviXJ1MDPASyRnaczcrmc4AH9N1pp309Kp1xBk+PJfhgqzrs+pYRiLzNF/avsNJ2V0+UEILgePj828sSG6NEn5tT7CdJ9Sk+9wgwNGP4Z10NXy85yKHK9nADQzLXglLIzrk6EjzhWdhYiWdHEaXZs5EnbuR4+GUBOn1H1hHICQBUP6KdUnHd9Mjiws4+PklwXG32KWzTh241cD30LPlzZoKN6SjkB4BOuBc+uvPAmusWSh8LGcV7pqVckuBacBGCX7DxdoSeVEwDe41root4X35oOlPeXnYVkSXDACFScc12KB/TJADbKztNVelo5AWAO04NX9pn++5RaXCk7C+lmwUFHo/KiX6e4FjwbwKey83SlnlhOMMaf41rwhr6X3UVH0B4sbBznVV54UyvXgmcAeE92nq6WcxPfO8LzxMWelXl017O3hcydG2THIV0oNmqyKD3tqsTeU9nlsvN0hx5dzr3OFFbm77Wv3BtOf94jv4Z5p3DcuU7xty5s2nvxZ73sPN0lH8oJAOOFbb7R8NZj0cSKd3rkqXy+KJk83Sr45mk1XAtNArBNdp7ulC/lBIChwsq8t2fp3LLG954LwKMnznIJ00KoOO/nqdCAEZ9zPTQZQL3sTN0tn8oJABXCTM0xazePqH35f8IitUd2HtIOgdK+qPzufyWVUOzlvVPycnrmT3vlWzkBQBVW5i7PsX5c8+JdYXNHXHYe8jUiR45D+dRr00xRr2WK+qjsPNmUj+Xc52xhm882vf9cuOXj1+iZM79hHCUnT7cKjjm1Ze+tkmWyI2VbPpcTAAYJMzU3vbVq4O5X7wt7Jq286QdqYTkqzr8hqZX1W8H18HnIg/eXXybfywkAujDTD3qu/b26OQ+FUxuWys6T12KjT/FKp1yeAee/56p2D3y8XUJ3o3L+y0nCSj+drl5VVD/vkbCbbJGdJ6+oBeUon/rTpN57yHauhy8AsEZ2JtmonF8UElbmD/DEj+vfeizYuupdJjtQj8c4Csec6RafcLEFxu/iAe1OALbsWH5A5fxyo4WZet7avaXf7tceijhNPeIJJN8JDhiBstN/mFQLStdxPXwJevBsn86gcn411XPsGzxP3NK6doHS9P7zQbc15xZw86VAWX+UnXpFUu97RJJroZ8DeAEAzQo5AJXz4EqFlbkFjP1wz9J5SvOiVzSRoe1CO0OJlaDkxEsykWHjHcaVW5miPoQ8mVDQGVTO9usnzNSdYGxa88JXtJYlcxTPsWRnygk8XICi46baBWPOcuB5D3MteBt6wDIi3Y3K2XGGm0neC2Byy5LXAnuWvqGKdEJ2Jl8KlPVD0bhzM5HhkwDhvMT18G8AbJWdK1dQOTvvKGGmbgJXpyWrPkTzx68F7Tr6vgOA0OCRKJo4rVXvc4QAY/dzVXsAwG7ZuXINlfPQVQjHuhZC/MRu2KE2L54dS8YXA64jO1dW8VAMkWHjUTTu3FYlXNDA9fBtAJ4FkJGdLVdRObtOAMA5brr1V0xRR6U2LHVb13wQTlWv7LFFZVoQkaFjERs1ORHsd6QmHOttJRh5AMDbyLFNg/yIytk9+nqeN01kklcyRTVSGz5xE6s/CKerVwEit4vKVA2hIaMRGzU5GRoySvVs62MlFP0rgFcBtMrO15NQObtfv/2KOjSzbZ2V+vzTWGZrFazdW+D/h74ZtF4DERo8yosYYxN65WFBYZurlVD0bwBeAtAgO2FPReXMrj4AThRm6jQAJ4MrZeaO9WZq4/JYZlsVs3ZvhezbMzwUg1Y+AHrvw7zwYcck9L5DdXiiAYy9wbXQbADvAqCn1LOAyilXJYDjhZme4nnuKVwL9XPTiYxdv12YNdVhu26batVvh92wHV068YFxKOECqIXl0MoHQOs1yNL7HJ7WSvtqTNUg7MznjKsfcT30NoAFAGq6bnDSXlROfwkAGAJgmOd5w0QmeSyAo7gWHAh4iptJZkSyxXWSzUykEoqbTgREao/mib1PVTEOMIAxjr3/4vFg2FZjpaYSLRFKpJApoZjGArrmuXbSc+xaACuVUHQx2p4CWQNgB+hiji9QOXMDAxAD0GvvRzmAIgBFnieKIIQOxlwwJgAmGGMe2uaqegCSAGr3+9iNtoeX8/Y5yVxB5STEp2gNV0J8ispJiE9ROQnxKSonIT5F5STEp6ichPgUlZMQn6JyEuJTVE5CfIrKSYhPUTkJ8SkqJyE+ReUkxKeonIT4FJWTEJ+ichLiU1ROQnyKykmIT1E5CfEpKichPkXlJMSnqJyE+BSVkxCfonIS4lNUTkJ8ispJiE9ROQnxqf8PXAwk8aib96cAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 9-VAZIFA:  Crosstab orqali \"Attrition\" (ishdan bo'shaganmi) ustunidagi Yes va No qiymatlari hamda Department ustuniga ko'ra grafikni chiqaring\n",
        "\n",
        "<a href=\"https://imgbb.com/\"><img src=\"https://i.ibb.co/g4KgG6q/depart.png\" alt=\"depart\" border=\"0\"></a>"
      ],
      "metadata": {
        "id": "kEEl9lmJWCfi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from numpy.core.numeric import cross\n",
        "# JAVOBNI SHUYERGA YOZING\n",
        "dff = pd.crosstab(df.Department, df.Attrition, rownames=['df.Department'], colnames=['df.Attrition'])\n",
        "dff.plot.bar(rot=1)"
      ],
      "metadata": {
        "id": "7xSeffiDWDd5",
        "outputId": "35ba1fae-ce91-46c0-bd7d-2e7376dd6df0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        }
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f4f60075650>"
            ]
          },
          "metadata": {},
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 10-VAZIFA:  Seaborn kutubxonasining Distribution(taqsimot) imkoniyatidan foydalanib, Attrition(ishdan bo'shaganmi) ustunini MonthlyIncome ustuniga solishtirilganligini grafigini ekranga chiqaring.\n",
        "\n",
        "\n",
        "**Hint: ** Bu orqali biz ishchining oylik maoshini uning ishdan bo'shab ketishiga bog'liq yoki bog'liq emasligini topamiz.\n",
        "\n",
        "<a href=\"https://imgbb.com/\"><img src=\"https://i.ibb.co/zQc4FVZ/displot.png\" alt=\"displot\" border=\"0\"></a><br /><a target='_blank' href='https://500pxdownload.com/'></a><br />"
      ],
      "metadata": {
        "id": "Y3vs7JJIXEgf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# JAVOBNI SHUYERGA YOZING\n",
        "sns.displot(data=df, x=\"MonthlyIncome\", hue=\"Attrition\", multiple=\"stack\", height=4, aspect=2)\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "xbF-fJq7XFTf",
        "outputId": "bf4294bd-e841-4ff2-c182-1ae0e94fab47",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        }
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 633.675x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "_DxKN2X_u35w"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}