Internship_data_visualization_pynb.ipynb

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      "source": [
        "import numpy as np \n",
        "import pandas as pd \n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hr=pd.read_csv(\"/content/HRDataset_v14 (1).csv\")\n",
        "airbnb=pd.read_csv(\"/content/Airbnb Dataset 19.csv\")"
      ],
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        "id": "Sk-WL-nyY6XP"
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      "execution_count": 2,
      "outputs": []
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      "source": [
        "hr.head()"
      ],
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              "              Employee_Name  EmpID  MarriedID  MaritalStatusID  GenderID  \\\n",
              "0       Adinolfi, Wilson  K  10026          0                0         1   \n",
              "1  Ait Sidi, Karthikeyan     10084          1                1         1   \n",
              "2         Akinkuolie, Sarah  10196          1                1         0   \n",
              "3              Alagbe,Trina  10088          1                1         0   \n",
              "4          Anderson, Carol   10069          0                2         0   \n",
              "\n",
              "   EmpStatusID  DeptID  PerfScoreID  FromDiversityJobFairID  Salary  ...  \\\n",
              "0            1       5            4                       0   62506  ...   \n",
              "1            5       3            3                       0  104437  ...   \n",
              "2            5       5            3                       0   64955  ...   \n",
              "3            1       5            3                       0   64991  ...   \n",
              "4            5       5            3                       0   50825  ...   \n",
              "\n",
              "      ManagerName  ManagerID RecruitmentSource PerformanceScore  \\\n",
              "0  Michael Albert       22.0          LinkedIn          Exceeds   \n",
              "1      Simon Roup        4.0            Indeed      Fully Meets   \n",
              "2  Kissy Sullivan       20.0          LinkedIn      Fully Meets   \n",
              "3    Elijiah Gray       16.0            Indeed      Fully Meets   \n",
              "4  Webster Butler       39.0     Google Search      Fully Meets   \n",
              "\n",
              "   EngagementSurvey EmpSatisfaction SpecialProjectsCount  \\\n",
              "0              4.60               5                    0   \n",
              "1              4.96               3                    6   \n",
              "2              3.02               3                    0   \n",
              "3              4.84               5                    0   \n",
              "4              5.00               4                    0   \n",
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              "  LastPerformanceReview_Date DaysLateLast30 Absences  \n",
              "0                  1/17/2019              0        1  \n",
              "1                  2/24/2016              0       17  \n",
              "2                  5/15/2012              0        3  \n",
              "3                   1/3/2019              0       15  \n",
              "4                   2/1/2016              0        2  \n",
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              "     id                                              name  host_id  \\\n",
              "0  2539                Clean & quiet apt home by the park     2787   \n",
              "1  2595                             Skylit Midtown Castle     2845   \n",
              "2  3647               THE VILLAGE OF HARLEM....NEW YORK !     4632   \n",
              "3  3831                   Cozy Entire Floor of Brownstone     4869   \n",
              "4  5022  Entire Apt: Spacious Studio/Loft by central park     7192   \n",
              "\n",
              "     host_name neighbourhood_group neighbourhood  latitude  longitude  \\\n",
              "0         John            Brooklyn    Kensington  40.64749  -73.97237   \n",
              "1     Jennifer           Manhattan       Midtown  40.75362  -73.98377   \n",
              "2    Elisabeth           Manhattan        Harlem  40.80902  -73.94190   \n",
              "3  LisaRoxanne            Brooklyn  Clinton Hill  40.68514  -73.95976   \n",
              "4        Laura           Manhattan   East Harlem  40.79851  -73.94399   \n",
              "\n",
              "         room_type  price  minimum_nights  number_of_reviews last_review  \\\n",
              "0     Private room    149               1                  9  10/19/2018   \n",
              "1  Entire home/apt    225               1                 45   5/21/2019   \n",
              "2     Private room    150               3                  0         NaN   \n",
              "3  Entire home/apt     89               1                270    7/5/2019   \n",
              "4  Entire home/apt     80              10                  9  11/19/2018   \n",
              "\n",
              "   reviews_per_month  calculated_host_listings_count  availability_365  \n",
              "0               0.21                               6               365  \n",
              "1               0.38                               2               355  \n",
              "2                NaN                               1               365  \n",
              "3               4.64                               1               194  \n",
              "4               0.10                               1                 0  "
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d304b8cb-1bb4-41ce-8970-26ea3db3c2a5')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d304b8cb-1bb4-41ce-8970-26ea3db3c2a5 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-d304b8cb-1bb4-41ce-8970-26ea3db3c2a5');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hr.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7vB8PcY0ZTNV",
        "outputId": "5d16311c-a9b7-4653-f0f4-5ec54a478d9b"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Employee_Name                   0\n",
              "EmpID                           0\n",
              "MarriedID                       0\n",
              "MaritalStatusID                 0\n",
              "GenderID                        0\n",
              "EmpStatusID                     0\n",
              "DeptID                          0\n",
              "PerfScoreID                     0\n",
              "FromDiversityJobFairID          0\n",
              "Salary                          0\n",
              "Termd                           0\n",
              "PositionID                      0\n",
              "Position                        0\n",
              "State                           0\n",
              "Zip                             0\n",
              "DOB                             0\n",
              "Sex                             0\n",
              "MaritalDesc                     0\n",
              "CitizenDesc                     0\n",
              "HispanicLatino                  0\n",
              "RaceDesc                        0\n",
              "DateofHire                      0\n",
              "DateofTermination             207\n",
              "TermReason                      0\n",
              "EmploymentStatus                0\n",
              "Department                      0\n",
              "ManagerName                     0\n",
              "ManagerID                       8\n",
              "RecruitmentSource               0\n",
              "PerformanceScore                0\n",
              "EngagementSurvey                0\n",
              "EmpSatisfaction                 0\n",
              "SpecialProjectsCount            0\n",
              "LastPerformanceReview_Date      0\n",
              "DaysLateLast30                  0\n",
              "Absences                        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "airbnb.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xMGVXxn5heU7",
        "outputId": "bd317a25-cff6-4baa-b346-ed1210200693"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                                0\n",
              "name                              0\n",
              "host_id                           0\n",
              "host_name                         0\n",
              "neighbourhood_group               0\n",
              "neighbourhood                     0\n",
              "latitude                          0\n",
              "longitude                         0\n",
              "room_type                         0\n",
              "price                             0\n",
              "minimum_nights                    0\n",
              "number_of_reviews                 0\n",
              "last_review                       7\n",
              "reviews_per_month                 7\n",
              "calculated_host_listings_count    0\n",
              "availability_365                  0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.boxplot(hr[\"Salary\"])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "xnvNLwaehj1g",
        "outputId": "9702c2c4-4f93-43f4-8360-ab5612463374"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hr.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "MrPMRg72kYYN",
        "outputId": "276611e8-4aba-443b-f90b-46a6de9d905b"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              EmpID   MarriedID  MaritalStatusID    GenderID  EmpStatusID  \\\n",
              "count    311.000000  311.000000       311.000000  311.000000   311.000000   \n",
              "mean   10156.000000    0.398714         0.810289    0.434084     2.392283   \n",
              "std       89.922189    0.490423         0.943239    0.496435     1.794383   \n",
              "min    10001.000000    0.000000         0.000000    0.000000     1.000000   \n",
              "25%    10078.500000    0.000000         0.000000    0.000000     1.000000   \n",
              "50%    10156.000000    0.000000         1.000000    0.000000     1.000000   \n",
              "75%    10233.500000    1.000000         1.000000    1.000000     5.000000   \n",
              "max    10311.000000    1.000000         4.000000    1.000000     5.000000   \n",
              "\n",
              "           DeptID  PerfScoreID  FromDiversityJobFairID         Salary  \\\n",
              "count  311.000000   311.000000              311.000000     311.000000   \n",
              "mean     4.610932     2.977492                0.093248   69020.684887   \n",
              "std      1.083487     0.587072                0.291248   25156.636930   \n",
              "min      1.000000     1.000000                0.000000   45046.000000   \n",
              "25%      5.000000     3.000000                0.000000   55501.500000   \n",
              "50%      5.000000     3.000000                0.000000   62810.000000   \n",
              "75%      5.000000     3.000000                0.000000   72036.000000   \n",
              "max      6.000000     4.000000                1.000000  250000.000000   \n",
              "\n",
              "            Termd  PositionID           Zip   ManagerID  EngagementSurvey  \\\n",
              "count  311.000000  311.000000    311.000000  303.000000        311.000000   \n",
              "mean     0.334405   16.845659   6555.482315   14.570957          4.110000   \n",
              "std      0.472542    6.223419  16908.396884    8.078306          0.789938   \n",
              "min      0.000000    1.000000   1013.000000    1.000000          1.120000   \n",
              "25%      0.000000   18.000000   1901.500000   10.000000          3.690000   \n",
              "50%      0.000000   19.000000   2132.000000   15.000000          4.280000   \n",
              "75%      1.000000   20.000000   2355.000000   19.000000          4.700000   \n",
              "max      1.000000   30.000000  98052.000000   39.000000          5.000000   \n",
              "\n",
              "       EmpSatisfaction  SpecialProjectsCount  DaysLateLast30    Absences  \n",
              "count       311.000000            311.000000      311.000000  311.000000  \n",
              "mean          3.890675              1.218650        0.414791   10.237942  \n",
              "std           0.909241              2.349421        1.294519    5.852596  \n",
              "min           1.000000              0.000000        0.000000    1.000000  \n",
              "25%           3.000000              0.000000        0.000000    5.000000  \n",
              "50%           4.000000              0.000000        0.000000   10.000000  \n",
              "75%           5.000000              0.000000        0.000000   15.000000  \n",
              "max           5.000000              8.000000        6.000000   20.000000  "
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>EmpID</th>\n",
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              "      <th>MaritalStatusID</th>\n",
              "      <th>GenderID</th>\n",
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              "  <tbody>\n",
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              "      <th>count</th>\n",
              "      <td>311.000000</td>\n",
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              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>303.000000</td>\n",
              "      <td>311.000000</td>\n",
              "      <td>311.000000</td>\n",
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              "      <th>mean</th>\n",
              "      <td>10156.000000</td>\n",
              "      <td>0.398714</td>\n",
              "      <td>0.810289</td>\n",
              "      <td>0.434084</td>\n",
              "      <td>2.392283</td>\n",
              "      <td>4.610932</td>\n",
              "      <td>2.977492</td>\n",
              "      <td>0.093248</td>\n",
              "      <td>69020.684887</td>\n",
              "      <td>0.334405</td>\n",
              "      <td>16.845659</td>\n",
              "      <td>6555.482315</td>\n",
              "      <td>14.570957</td>\n",
              "      <td>4.110000</td>\n",
              "      <td>3.890675</td>\n",
              "      <td>1.218650</td>\n",
              "      <td>0.414791</td>\n",
              "      <td>10.237942</td>\n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>89.922189</td>\n",
              "      <td>0.490423</td>\n",
              "      <td>0.943239</td>\n",
              "      <td>0.496435</td>\n",
              "      <td>1.794383</td>\n",
              "      <td>1.083487</td>\n",
              "      <td>0.587072</td>\n",
              "      <td>0.291248</td>\n",
              "      <td>25156.636930</td>\n",
              "      <td>0.472542</td>\n",
              "      <td>6.223419</td>\n",
              "      <td>16908.396884</td>\n",
              "      <td>8.078306</td>\n",
              "      <td>0.789938</td>\n",
              "      <td>0.909241</td>\n",
              "      <td>2.349421</td>\n",
              "      <td>1.294519</td>\n",
              "      <td>5.852596</td>\n",
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              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>0.000000</td>\n",
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              "      <td>1013.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.120000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
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              "    <tr>\n",
              "      <th>25%</th>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>55501.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>1901.500000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>3.690000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>5.000000</td>\n",
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              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>10156.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>62810.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>2132.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>4.280000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>10.000000</td>\n",
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              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>10233.500000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>72036.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>2355.000000</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>4.700000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>5.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>250000.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>30.000000</td>\n",
              "      <td>98052.000000</td>\n",
              "      <td>39.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>20.000000</td>\n",
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              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e6c79c8a-4393-4e3e-8a5e-1111b8665a38')\"\n",
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              "                                                     [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",
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            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "airbnb.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "3syKXqV3PL5t",
        "outputId": "a15cc38e-0b70-4edc-84f7-e925b1733b01"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 id       host_id    latitude   longitude       price  \\\n",
              "count    249.000000  2.490000e+02  249.000000  249.000000  249.000000   \n",
              "mean   31376.771084  1.499884e+05   40.730257  -73.964044  143.971888   \n",
              "std    18101.018309  4.010393e+05    0.049660    0.029685   91.442975   \n",
              "min     2539.000000  2.787000e+03   40.631880  -74.080880   35.000000   \n",
              "25%    15711.000000  5.014800e+04   40.688430  -73.984980   85.000000   \n",
              "50%    28321.000000  9.779700e+04   40.721620  -73.964280  125.000000   \n",
              "75%    46911.000000  1.936370e+05   40.761930  -73.948220  175.000000   \n",
              "max    62430.000000  6.197784e+06   40.867540  -73.765970  800.000000   \n",
              "\n",
              "       minimum_nights  number_of_reviews  reviews_per_month  \\\n",
              "count      249.000000         249.000000         242.000000   \n",
              "mean         8.718876         103.445783           1.091653   \n",
              "std         20.398680         100.337887           1.000168   \n",
              "min          1.000000           0.000000           0.010000   \n",
              "25%          2.000000          21.000000           0.280000   \n",
              "50%          3.000000          73.000000           0.795000   \n",
              "75%          5.000000         166.000000           1.650000   \n",
              "max        200.000000         467.000000           4.720000   \n",
              "\n",
              "       calculated_host_listings_count  availability_365  \n",
              "count                      249.000000        249.000000  \n",
              "mean                         1.738956        198.538153  \n",
              "std                          1.234635        126.048056  \n",
              "min                          1.000000          0.000000  \n",
              "25%                          1.000000         75.000000  \n",
              "50%                          1.000000        225.000000  \n",
              "75%                          2.000000        310.000000  \n",
              "max                          6.000000        365.000000  "
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>host_id</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>price</th>\n",
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              "      <th>calculated_host_listings_count</th>\n",
              "      <th>availability_365</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>249.000000</td>\n",
              "      <td>2.490000e+02</td>\n",
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              "      <td>249.000000</td>\n",
              "      <td>249.000000</td>\n",
              "      <td>249.000000</td>\n",
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              "      <td>249.000000</td>\n",
              "      <td>249.000000</td>\n",
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              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>31376.771084</td>\n",
              "      <td>1.499884e+05</td>\n",
              "      <td>40.730257</td>\n",
              "      <td>-73.964044</td>\n",
              "      <td>143.971888</td>\n",
              "      <td>8.718876</td>\n",
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              "      <td>1.091653</td>\n",
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              "      <td>198.538153</td>\n",
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              "      <th>std</th>\n",
              "      <td>18101.018309</td>\n",
              "      <td>4.010393e+05</td>\n",
              "      <td>0.049660</td>\n",
              "      <td>0.029685</td>\n",
              "      <td>91.442975</td>\n",
              "      <td>20.398680</td>\n",
              "      <td>100.337887</td>\n",
              "      <td>1.000168</td>\n",
              "      <td>1.234635</td>\n",
              "      <td>126.048056</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>2539.000000</td>\n",
              "      <td>2.787000e+03</td>\n",
              "      <td>40.631880</td>\n",
              "      <td>-74.080880</td>\n",
              "      <td>35.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>15711.000000</td>\n",
              "      <td>5.014800e+04</td>\n",
              "      <td>40.688430</td>\n",
              "      <td>-73.984980</td>\n",
              "      <td>85.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>21.000000</td>\n",
              "      <td>0.280000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>75.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>28321.000000</td>\n",
              "      <td>9.779700e+04</td>\n",
              "      <td>40.721620</td>\n",
              "      <td>-73.964280</td>\n",
              "      <td>125.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>73.000000</td>\n",
              "      <td>0.795000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>225.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>46911.000000</td>\n",
              "      <td>1.936370e+05</td>\n",
              "      <td>40.761930</td>\n",
              "      <td>-73.948220</td>\n",
              "      <td>175.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>166.000000</td>\n",
              "      <td>1.650000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>310.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>62430.000000</td>\n",
              "      <td>6.197784e+06</td>\n",
              "      <td>40.867540</td>\n",
              "      <td>-73.765970</td>\n",
              "      <td>800.000000</td>\n",
              "      <td>200.000000</td>\n",
              "      <td>467.000000</td>\n",
              "      <td>4.720000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>365.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-693dd9b3-fc37-4c32-bac7-9e0e65367f10')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-693dd9b3-fc37-4c32-bac7-9e0e65367f10 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-693dd9b3-fc37-4c32-bac7-9e0e65367f10');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(19,5))\n",
        "# finding out the realtionship between recruitment source and salary\n",
        "plt.bar(hr[\"RecruitmentSource\"],hr[\"Salary\"])\n",
        "plt.title(\"highest salary from differnt source \")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 445
        },
        "id": "bt-OtbI_POBE",
        "outputId": "f3dc4556-153f-4bee-c693-72dfd73b8035"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'highest salary from differnt source ')"
            ]
          },
          "metadata": {},
          "execution_count": 34
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1900x500 with 1 Axes>"
            ],
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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hr.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "MCyORCHLSDy9",
        "outputId": "391e405e-1b70-4a45-a563-1ee07a054e77"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              Employee_Name  EmpID  MarriedID  MaritalStatusID  GenderID  \\\n",
              "0       Adinolfi, Wilson  K  10026          0                0         1   \n",
              "1  Ait Sidi, Karthikeyan     10084          1                1         1   \n",
              "2         Akinkuolie, Sarah  10196          1                1         0   \n",
              "3              Alagbe,Trina  10088          1                1         0   \n",
              "4          Anderson, Carol   10069          0                2         0   \n",
              "\n",
              "   EmpStatusID  DeptID  PerfScoreID  FromDiversityJobFairID  Salary  ...  \\\n",
              "0            1       5            4                       0   62506  ...   \n",
              "1            5       3            3                       0  104437  ...   \n",
              "2            5       5            3                       0   64955  ...   \n",
              "3            1       5            3                       0   64991  ...   \n",
              "4            5       5            3                       0   50825  ...   \n",
              "\n",
              "      ManagerName  ManagerID RecruitmentSource PerformanceScore  \\\n",
              "0  Michael Albert       22.0          LinkedIn          Exceeds   \n",
              "1      Simon Roup        4.0            Indeed      Fully Meets   \n",
              "2  Kissy Sullivan       20.0          LinkedIn      Fully Meets   \n",
              "3    Elijiah Gray       16.0            Indeed      Fully Meets   \n",
              "4  Webster Butler       39.0     Google Search      Fully Meets   \n",
              "\n",
              "   EngagementSurvey EmpSatisfaction SpecialProjectsCount  \\\n",
              "0              4.60               5                    0   \n",
              "1              4.96               3                    6   \n",
              "2              3.02               3                    0   \n",
              "3              4.84               5                    0   \n",
              "4              5.00               4                    0   \n",
              "\n",
              "  LastPerformanceReview_Date DaysLateLast30 Absences  \n",
              "0                  1/17/2019              0        1  \n",
              "1                  2/24/2016              0       17  \n",
              "2                  5/15/2012              0        3  \n",
              "3                   1/3/2019              0       15  \n",
              "4                   2/1/2016              0        2  \n",
              "\n",
              "[5 rows x 36 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c22875f9-7138-4e51-a638-a189432f1a6a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Employee_Name</th>\n",
              "      <th>EmpID</th>\n",
              "      <th>MarriedID</th>\n",
              "      <th>MaritalStatusID</th>\n",
              "      <th>GenderID</th>\n",
              "      <th>EmpStatusID</th>\n",
              "      <th>DeptID</th>\n",
              "      <th>PerfScoreID</th>\n",
              "      <th>FromDiversityJobFairID</th>\n",
              "      <th>Salary</th>\n",
              "      <th>...</th>\n",
              "      <th>ManagerName</th>\n",
              "      <th>ManagerID</th>\n",
              "      <th>RecruitmentSource</th>\n",
              "      <th>PerformanceScore</th>\n",
              "      <th>EngagementSurvey</th>\n",
              "      <th>EmpSatisfaction</th>\n",
              "      <th>SpecialProjectsCount</th>\n",
              "      <th>LastPerformanceReview_Date</th>\n",
              "      <th>DaysLateLast30</th>\n",
              "      <th>Absences</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Adinolfi, Wilson  K</td>\n",
              "      <td>10026</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>62506</td>\n",
              "      <td>...</td>\n",
              "      <td>Michael Albert</td>\n",
              "      <td>22.0</td>\n",
              "      <td>LinkedIn</td>\n",
              "      <td>Exceeds</td>\n",
              "      <td>4.60</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>1/17/2019</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Ait Sidi, Karthikeyan</td>\n",
              "      <td>10084</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>104437</td>\n",
              "      <td>...</td>\n",
              "      <td>Simon Roup</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Indeed</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>4.96</td>\n",
              "      <td>3</td>\n",
              "      <td>6</td>\n",
              "      <td>2/24/2016</td>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Akinkuolie, Sarah</td>\n",
              "      <td>10196</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>64955</td>\n",
              "      <td>...</td>\n",
              "      <td>Kissy Sullivan</td>\n",
              "      <td>20.0</td>\n",
              "      <td>LinkedIn</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>3.02</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>5/15/2012</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Alagbe,Trina</td>\n",
              "      <td>10088</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>64991</td>\n",
              "      <td>...</td>\n",
              "      <td>Elijiah Gray</td>\n",
              "      <td>16.0</td>\n",
              "      <td>Indeed</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>4.84</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>1/3/2019</td>\n",
              "      <td>0</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Anderson, Carol</td>\n",
              "      <td>10069</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>50825</td>\n",
              "      <td>...</td>\n",
              "      <td>Webster Butler</td>\n",
              "      <td>39.0</td>\n",
              "      <td>Google Search</td>\n",
              "      <td>Fully Meets</td>\n",
              "      <td>5.00</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>2/1/2016</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 36 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c22875f9-7138-4e51-a638-a189432f1a6a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-c22875f9-7138-4e51-a638-a189432f1a6a 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-c22875f9-7138-4e51-a638-a189432f1a6a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "hr.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d5AQ3V3KX3Uy",
        "outputId": "86e19245-cd97-4458-fd18-95fd17c20958"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Employee_Name', 'EmpID', 'MarriedID', 'MaritalStatusID', 'GenderID',\n",
              "       'EmpStatusID', 'DeptID', 'PerfScoreID', 'FromDiversityJobFairID',\n",
              "       'Salary', 'Termd', 'PositionID', 'Position', 'State', 'Zip', 'DOB',\n",
              "       'Sex', 'MaritalDesc', 'CitizenDesc', 'HispanicLatino', 'RaceDesc',\n",
              "       'DateofHire', 'DateofTermination', 'TermReason', 'EmploymentStatus',\n",
              "       'Department', 'ManagerName', 'ManagerID', 'RecruitmentSource',\n",
              "       'PerformanceScore', 'EngagementSurvey', 'EmpSatisfaction',\n",
              "       'SpecialProjectsCount', 'LastPerformanceReview_Date', 'DaysLateLast30',\n",
              "       'Absences'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(hr[\"EngagementSurvey\"], hr[\"Salary\"])\n",
        "\n",
        "# Add labels and title\n",
        "plt.xlabel(\"Engagement Survey Score\")\n",
        "plt.ylabel(\"Salary\")\n",
        "plt.title(\"Relationship Between Employee Engagement and Salary\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "Ncf-tNKza3O0",
        "outputId": "878368d7-6efb-4ea1-edb9-2a8a129ce6b3"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "recruitment_counts = hr[\"RecruitmentSource\"].value_counts()\n",
        "\n",
        "# Create a bar chart of recruitment source vs. number of employees hired\n",
        "plt.bar(recruitment_counts.index, recruitment_counts.values)\n",
        "\n",
        "# Add labels and title\n",
        "plt.xlabel(\"Recruitment Source\")\n",
        "plt.ylabel(\"Number of Employees Hired\")\n",
        "plt.title(\"Number of Employees Hired by Recruitment Source\")\n",
        "plt.xticks(rotation=90)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "id": "LHIoSigJbjg4",
        "outputId": "b8545927-b955-4eca-e208-d0dea04d2c4c"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.regplot(x=\"EngagementSurvey\", y=\"Salary\", data=hr)\n",
        "\n",
        "# Add labels and title\n",
        "plt.xlabel(\"Engagement Survey Score\")\n",
        "plt.ylabel(\"Salary\")\n",
        "plt.title(\"Relationship Between Employee Engagement and Salary\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "L_L2uhwJbxWt",
        "outputId": "7272f735-eb05-4660-bda8-7bb96eb40892"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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feumlMJlMWLJkidZu+fLlqK6u1r4hd+bzEI7JZAp7bMOtrGzrdbhy5UpIkqSNCAbcdtttLW7LaDRqo4SyLKOmpgZWqxWDBw/WHh8AfP311+jRowcuuuiikD7feOONIbe3efNm7NmzB1deeSVqamq0Y9HY2Ihzzz0X69atg6IoIX9zww03aP8WBAGnnXYaGGO4/vrrtctTU1MxePDgkHOlq8//cNr7vnzLLbeE/D5hwoSQ+//yyy+h0+m0kStAPSbhnrtwhg8fjs2bN+Pqq6/G/v378be//Q3Tp09HTk4O/vGPf0Tse+AzacKECXC5XNi5c2fUj7uurg52ux0TJkwIOWcCJk2a1OI9YtCgQRg9enTIa7C2thZfffUVrrrqqk4rpUPTf93Iq6++ikGDBsFut+Pf//431q1bB6PRqF1fUlICxhgeeughPPTQQ2Fvo6qqCj169Ah73cGDB/Hwww/j888/R11dXch1dru93f09evQoXC4XBg8e3OK6oUOHQlEUHDp0CMOHD9cuD/5ABJqmNgP9mTRpEi6++GI89thjePHFF3HWWWdh+vTpuPLKK0OORTS31ZqBAwe2uGzQoEFwuVw4evQocnNz2/z7yZMna7/PnDkTHMfhpZdewnXXXYfCwkLs2bMHACIOoTefkgknJycHAwcOxPr163HzzTdj/fr1OPvsszFx4kTcdttt2Lt3L4qLi6EoihZUHT16FPX19XjjjTfwxhtvhL3dQMLpnj17UFxcHHF6onliavNjDqjHPZpjDrQ8bpE0v5+UlBQAQK9evcJe3vz+eZ4PCYwA9fkFEDG/pT3nc2pqKi688EK88847eOKJJwCoU389evTQnu/OfB7CEQQhqmMLtP3aCQRXAwYMCGmXnp4e8kUGUKfQ/va3v+G1117Dvn37Qr6UBE8JHzhwAAUFBS0+7JrfR+B109p0ld1uD+lHuPPFZDJp02/Bl9fU1ITcV1ee/+G0533ZZDK16Gvz+z9w4ADy8vJgtVpD2oU7ryMZNGgQ3n77bciyjB07dmDZsmVYsGABbrrpJvTr1087z7Zv346//OUvWLVqVYsv0G19pixbtgxPPvkkNm/eHJK/Fi4Y6tevX9jb+OMf/4h58+bhwIED6NOnDz744AOIoohrrrkm6sfaXhRUdSNnnHGGtvpv+vTpGD9+PK688krs2rULVqtV+3Z29913o6ioKOxtNH+DCpBlGb/73e9QW1uL++67D0OGDEFSUhKOHDmC2bNnt/jm11kiLe9m/gRijuPw4Ycf4vvvv8cXX3yB5cuX47rrrsPzzz+P77//PuSNoq3b6mrnnnsuXnnlFaxbtw6FhYXaMX377bfDBmnRrkocP348Vq5cCbfbjU2bNuHhhx/GiBEjkJqaivXr16O4uBhWq1UrSxC436uvvjriB1MgF0tRFBQWFuKFF14I2655ENNVxzzS/STSc/7HP/4RH3zwATZs2IDCwkJ8/vnnuPXWW7VRm858Ho5VLI/jU089hYceegjXXXcdnnjiCaSnp4Pnedxxxx0del8J/M2zzz6LkSNHhm3TPGAI93iieYzxPv/b+77c1eUxBEFAYWEhCgsLMXbsWJx99tlYsmQJJk+ejPr6ekyaNAk2mw2PP/64VtPql19+wX333dfqc79+/XpcdNFFmDhxIl577TXk5eVBr9fjzTffxDvvvNOiffCoVrDLL78c8+fPx5IlS/Dggw/iv//9L0477bR2BZDtRUFVNyUIAp5++mmcffbZeOWVV3D//fdr37z1en3U30gDtm7dit27d+Ott97CH//4R+3yFStWtGgb7bBpVlYWLBYLdu3a1eK6nTt3guf5Dn8YjBkzBmPGjMH/+3//D++88w6uuuoqvPfeeyHD/Mci8G042O7du2GxWFpNKm2NJEkAAKfTCQDaNEF2dnabz1drx3zChAl488038d5770GWZYwbNw48z2P8+PFaUDVu3DjtDTcrKwvJycmQZbnN+y0oKMCWLVtw7rnnHleV5xVFwd69e7XRKUB9fgFErOzc3vN56tSpyMrKwpIlSzB69Gi4XK6Qb8jd+XkIrPwqKSkJGSWoqalpMZry4Ycf4uyzz8a//vWvkMvr6+tDRor69OmDHTt2gDEW8hhLSkpC/i7wurHZbO1+n2uvzjju7bmd9rwvR6tPnz5YuXIlnE5nSPAZ7rxuj8AX/vLycgDqrh01NTX4+OOPtcR/ANi3b1+bt/XRRx/BZDJh+fLlITMQb775Zrv6lJ6ejmnTpmHJkiW46qqr8N133+Gll15q1220F+VUdWNnnXUWzjjjDLz00kvweDzIzs7GWWedhUWLFmkndrDmS6KDBT5wg79RMcbwt7/9rUXbpKQkAGhzCa4gCJgyZQo+++yzkCmVyspKvPPOOxg/fnxUU1zB6urqWnzrC3xbjeXS8o0bN4bM3R86dAifffYZpkyZ0uFvg1988QUA4OSTTwYAFBUVwWaz4amnngqbHxb8fLV2zAPTes888wxOOukkbcprwoQJWLlyJX7++WetDaA+LxdffDE++ugjbNu2rdX7vfTSS3HkyJEWuRKAWui1sbGxzcedqF555RXt34wxvPLKK9Dr9Tj33HPDtm/v+azT6XDFFVdg6dKlWLx4MQoLC7WRp8Dtddfn4dxzz4VOp8PChQtDLg8+pgGCILR4zX7wwQct8juLiopw5MiRkPIvHo+nxWMeNWoUCgoK8Nxzz2lfUIK19j7XXp1x3KN9/wTa974crfPPPx+SJIU8d7Is4+9//3tUf79+/fqw71dffvklgKZpxHB99/l8eO2119q8D0EQwHFcyFTx/v37o17lGuyaa67Bjh07cM8990AQBFx++eXtvo32oJGqbu6ee+7BJZdcgsWLF+OWW27Bq6++ivHjx6OwsBA33ngj+vfvj8rKSmzcuBGHDx8OWxsGAIYMGYKCggLcfffdOHLkCGw2Gz766KOwuQCBBO4//elPKCoqavVEffLJJ7FixQqMHz8et956K3Q6HRYtWgSv14sFCxa0+/G+9dZbeO211zBjxgwUFBSgoaEB//jHP2Cz2cJW4u6oESNGoKioKKSkAoCoqwX/8ssv+O9//wtATdBcuXIlPvroI4wbNw5TpkwBoH7TXrhwIa655hqceuqpuPzyy5GVlYWDBw/if//7H84880ztQ6q1Yz5gwADk5uZi165dIcmmEydOxH333QcAIUEVAPz1r3/F6tWrMXr0aNx4440YNmwYamtr8csvv+Cbb75BbW0tAPUNaenSpbjllluwevVqnHnmmZBlGTt37sTSpUuxfPly7RtqLAQft2AFBQUhienHymQy4euvv8asWbMwevRofPXVV/jf//6HBx98sNWRyPaez3/84x/x8ssvY/Xq1XjmmWdaXN+Vz4MkSWGPLQDMmDFD+7CPRk5ODm6//XY8//zzuOiiizB16lRs2bIFX331FTIzM0NGYy644AI8/vjjuPbaazFu3Dhs3boVS5YsaZHTdvPNN+OVV17BFVdcgdtvvx15eXlYsmSJVsQxcJs8z+Of//wnzjvvPAwfPhzXXnstevTogSNHjmD16tWw2WzaF5hj1Rnnf+C1/Oc//xmXX3459Ho9LrzwwrDHvz3vy9G68MILceaZZ+L+++/H/v37MWzYMHz88cdR580+88wz2LRpE2bOnKl9Sfjll1/wn//8B+np6VoZkHHjxiEtLQ2zZs3Cn/70J3Ach7fffjuqqdBp06bhhRdewNSpU3HllVeiqqoKr776KgYMGBBSfy8a06ZNQ0ZGBj744AOcd955LWppxVynrCkkMRVY5hyujIAsy6ygoIAVFBQwSZIYY4yVlpayP/7xjyw3N5fp9XrWo0cPdsEFF7APP/xQ+7twJRV27NjBJk+ezKxWK8vMzGQ33nijtiQ4eJmtJEnstttuY1lZWYzjuJCl/mi2BJ0xxn755RdWVFTErFYrs1gs7Oyzzw5ZDt/aY2zez19++YVdccUVrHfv3sxoNLLs7Gx2wQUXhJQ/CCzPf/bZZ1scr+b9i1RSYe7cuey///0vGzhwIDMajeyUU04JOVaRhCsNoNPpWP/+/dk999zDGhoaWvzN6tWrWVFREUtJSWEmk4kVFBSw2bNnhzym1o45Y4xdcsklDAB7//33tct8Ph+zWCzMYDAwt9vd4n4rKyvZ3LlzWa9evZher2e5ubns3HPPZW+88UZIO5/Px5555hk2fPhwZjQaWVpaGhs1ahR77LHHmN1ub3HcmuvTp0/IMvVoj1vwT/Df9+nTh02bNq3FbYS7/3DnwqxZs1hSUhIrLS1lU6ZMYRaLheXk5LBHHnmkxdL/jp7PwYYPH854nmeHDx8Oe32sn4dwWiupgKDl/dG+DhlTz8mHHnqI5ebmMrPZzM455xxWXFzMMjIy2C233KK183g87K677mJ5eXnMbDazM888k23cuJFNmjSJTZo0KeR+9u7dy6ZNm8bMZjPLyspid911F/voo48YAPb999+HtP3111/ZzJkzWUZGBjMajaxPnz7s0ksvZStXrtTaBF7fwWUyAscjKSmpxXGaNGkSGz58eIeOe3vO/yeeeIL16NGD8TzfZnmFaN+XIz2mcO9xNTU17JprrmE2m42lpKSwa665hv36669RlVT47rvv2Ny5c9mIESNYSkoK0+v1rHfv3mz27NkhpUYCbceMGcPMZjPLz89n9957r1b+pHmZk+YlFf71r39p779Dhgxhb775Zqvv16259dZbGQD2zjvvtNouFjh/pwghfhzHYe7cuWGnMkj3N3v2bHz44Ydhp446wymnnIL09HSsXLmyS+4vnurr65GWloYnn3wSf/7zn2Nymy+99BLmz5+Pw4cPR1y5TEhr5s+fj3/961+oqKiAxWLp1PuinCpCCOkkP//8MzZv3hySZHy8aL5NCgAtCfiss86KyW16PB4sWrQIAwcOpICKdIjH48F///tfXHzxxZ0eUAGUU0UIITG3bds2bNq0Cc8//zzy8vJw2WWXxbtLMff+++9j8eLFOP/882G1WvHtt9/i3XffxZQpU3DmmWd26DZnzpyJ3r17Y+TIkbDb7fjvf/+LnTt3hhRwJCQaVVVV+Oabb/Dhhx+ipqYGt99+e5fcLwVVhBASYx9++CEef/xxDB48GO+++66WbH08Oemkk6DT6bBgwQI4HA4tef3JJ5/s8G0WFRXhn//8J5YsWQJZljFs2DC89957x2VQSjrXjh07cNVVVyE7Oxsvv/xyxJpmsUY5VYQQQgghMUA5VYQQQgghMUBBFSGEEEJIDFBOVRdSFAVlZWVITk5OiK0mCCGEENI2xhgaGhqQn5+v7d8ZDgVVXaisrCzmG58SQgghpGscOnQIPXv2jHg9BVVdKDk5GYD6pLR3zztCCCGExIfD4UCvXr20z/FIKKjqQoEpP5vNRkEVIYQQ0s20lbpDieqEEEIIITFAQRUhhBBCSAxQUEUIIYQQEgMUVBFCCCGExAAFVYQQQgghMUBBFSGEEEJIDFBQRQghhBASAxRUEUIIIYTEAAVVhBBCCCExQBXVCSGEENLlFIVhe5kDtS4f0i0GDM+3gedbr1ie6OI6UvX000/j9NNPR3JyMrKzszF9+nTs2rUrpM1ZZ50FjuNCfm655ZaQNgcPHsS0adNgsViQnZ2Ne+65B5IkhbRZs2YNTj31VBiNRgwYMACLFy9u0Z9XX30Vffv2hclkwujRo/Hjjz+GXO/xeDB37lxkZGTAarXi4osvRmVlZWwOBiGEEHKC2FBSjVlv/oib3/4Zdy/dgpvf/hmz3vwRG0qq4921YxLXoGrt2rWYO3cuvv/+e6xYsQKiKGLKlClobGwMaXfjjTeivLxc+1mwYIF2nSzLmDZtGnw+HzZs2IC33noLixcvxsMPP6y12bdvH6ZNm4azzz4bmzdvxh133IEbbrgBy5cv19q8//77uPPOO/HII4/gl19+wcknn4yioiJUVVVpbebPn48vvvgCH3zwAdauXYuysjLMnDmzE48QIYQQcnzZUFKNBz/ZiuJyB5KMOmQnG5Fk1KG4vAEPfrK1WwdWHGOMxbsTAUePHkV2djbWrl2LiRMnAlBHqkaOHImXXnop7N989dVXuOCCC1BWVoacnBwAwOuvv4777rsPR48ehcFgwH333Yf//e9/2LZtm/Z3l19+Oerr6/H1118DAEaPHo3TTz8dr7zyCgBAURT06tULt912G+6//37Y7XZkZWXhnXfewR/+8AcAwM6dOzF06FBs3LgRY8aMafPxORwOpKSkwG6304bKhBBCTjiKwjDrzR9RXO5Ars0UskExYwwVDi+G5iXjrWvPSKipwGg/vxMqUd1utwMA0tPTQy5fsmQJMjMzMWLECDzwwANwuVzadRs3bkRhYaEWUAFAUVERHA4Htm/frrWZPHlyyG0WFRVh48aNAACfz4dNmzaFtOF5HpMnT9babNq0CaIohrQZMmQIevfurbVpzuv1wuFwhPwQQgghJ6rtZQ6UVjmRZjGEBFQAwHEcUi16lFY5sb2se35eJkyiuqIouOOOO3DmmWdixIgR2uVXXnkl+vTpg/z8fPz222+47777sGvXLnz88ccAgIqKipCACoD2e0VFRattHA4H3G436urqIMty2DY7d+7UbsNgMCA1NbVFm8D9NPf000/jsccea+eRIIQQQo5PtS4fRJnBIIQf0zEKPOwKQ63L18U9i42ECarmzp2Lbdu24dtvvw25/KabbtL+XVhYiLy8PJx77rkoLS1FQUFBV3ezXR544AHceeed2u8OhwO9evWKY48IIYSQ+Em3GKAXOPhkBSZeaHG9V1ag5zmkWwxx6N2xS4jpv3nz5mHZsmVYvXo1evbs2Wrb0aNHAwBKSkoAALm5uS1W4AV+z83NbbWNzWaD2WxGZmYmBEEI2yb4Nnw+H+rr6yO2ac5oNMJms4X8EEIIISeq4fk2FGRbUecS0TylmzGGepeIgmwrhud3z8/LuAZVjDHMmzcPn3zyCVatWoV+/fq1+TebN28GAOTl5QEAxo4di61bt4as0luxYgVsNhuGDRumtVm5cmXI7axYsQJjx44FABgMBowaNSqkjaIoWLlypdZm1KhR0Ov1IW127dqFgwcPam0IIYQQEhnPc5gzqQBWo4AKhxduUYaiMLhFGRUOL6xGAXMmFSRUknp7xHX136233op33nkHn332GQYPHqxdnpKSArPZjNLSUrzzzjs4//zzkZGRgd9++w3z589Hz549sXbtWgBqSYWRI0ciPz8fCxYsQEVFBa655hrccMMNeOqppwCoJRVGjBiBuXPn4rrrrsOqVavwpz/9Cf/73/9QVFQEQC2pMGvWLCxatAhnnHEGXnrpJSxduhQ7d+7Ucq3mzJmDL7/8EosXL4bNZsNtt90GANiwYUNUj5dW/xFCCCFqWYWFa0tRWuWEqDDoeQ4F2VbMmVSAcQMy4929FqL+/GZxBCDsz5tvvskYY+zgwYNs4sSJLD09nRmNRjZgwAB2zz33MLvdHnI7+/fvZ+eddx4zm80sMzOT3XXXXUwUxZA2q1evZiNHjmQGg4H1799fu49gf//731nv3r2ZwWBgZ5xxBvv+++9Drne73ezWW29laWlpzGKxsBkzZrDy8vKoH6/dbmcAWvSfEEIIOdHIssJ+O1TP1uyqYr8dqmeyrMS7SxFF+/mdUHWqjnc0UkUIIYR0P92yThUhhBBCSHdFQRUhhBBCSAxQUEUIIYQQEgMUVBFCCCGExAAFVYQQQgghMUBBFSGEEEJIDFBQRQghhBASAxRUEUIIIYTEAAVVhBBCCCExQEEVIYQQQkgMUFBFCCGEEBIDFFQRQgghhMQABVWEEEIIITFAQRUhhBBCSAxQUEUIIYQQEgMUVBFCCCGExAAFVYQQQgghMUBBFSGEEEJIDFBQRQghhBASAxRUEUIIIYTEAAVVhBBCCCExQEEVIYQQQkgMUFBFCCGEEBIDFFQRQgghhMQABVWEEEIIITFAQRUhhBBCSAxQUEUIIYQQEgMUVBFCCCGExAAFVYQQQgghMUBBFSGEEEJIDFBQRQghhBASAxRUEUIIIYTEAAVVhBBCCCExQEEVIYQQQkgMUFBFCCGEEBIDFFQRQgghhMSALt4dIIQQQkhiUBSG7WUO1Lp8SLcYMDzfBp7n4t2tboOCKkIIIYRgQ0k1Fq4tRWmVE6LMoBc4FGRbMWdSAcYNyIx397oFmv4jhBBCTnAbSqrx4CdbUVzuQJJRh+xkI5KMOhSXN+DBT7ZiQ0l1vLvYLVBQRQghhJzAFIVh4dpSOL0Scm0mmPQCeJ6DSS8g12aE0ytj4dpSKAqLd1cTHgVVhBBCyAlse5kDpVVOpFkM4LjQ/CmO45Bq0aO0yontZY449bD7oKCKEEIIOYHVunwQZQaDED4kMAo8RIWh1uXr4p51PxRUEUIIISewdIsBeoGDT1bCXu+VFeh5DukWQxf3rPuhoIoQQgg5gQ3Pt6Eg24o6lwjGQvOmGGOod4koyLZieL4tTj3sPiioIoQQQk5gPM9hzqQCWI0CKhxeuEUZisLgFmVUOLywGgXMmVRA9aqiQEEVIYQQcoIbNyATT80oxNC8ZLi8EqqcXri8EobmJeOpGYVUpypKVPyTEEIIIRg3IBNj+mdQRfVjQEEVIYQQQgCoU4GFPVPi3Y1ui6b/CCGEEEJigIIqQgghhJAYoKCKEEIIISQGKKgihBBCCIkBCqoIIYQQQmKAgipCCCGEkBigoIoQQgghJAYoqCKEEEIIiQEKqgghhBBCYoCCKkIIIYSQGKCgihBCCCEkBiioIoQQQgiJAQqqCCGEEEJigIIqQgghhJAYoKCKEEIIISQGKKgihBBCCIkBCqoIIYQQQmKAgipCCCGEkBigoIoQQgghJAYoqCKEEEIIiQEKqgghhBBCYoCCKkIIIYSQGKCgihBCCCEkBuIaVD399NM4/fTTkZycjOzsbEyfPh27du0KaePxeDB37lxkZGTAarXi4osvRmVlZUibgwcPYtq0abBYLMjOzsY999wDSZJC2qxZswannnoqjEYjBgwYgMWLF7foz6uvvoq+ffvCZDJh9OjR+PHHH9vdF0IIIYScmOIaVK1duxZz587F999/jxUrVkAURUyZMgWNjY1am/nz5+OLL77ABx98gLVr16KsrAwzZ87UrpdlGdOmTYPP58OGDRvw1ltvYfHixXj44Ye1Nvv27cO0adNw9tlnY/Pmzbjjjjtwww03YPny5Vqb999/H3feeSceeeQR/PLLLzj55JNRVFSEqqqqqPtCCCGEkBMYSyBVVVUMAFu7di1jjLH6+nqm1+vZBx98oLUpLi5mANjGjRsZY4x9+eWXjOd5VlFRobVZuHAhs9lszOv1MsYYu/fee9nw4cND7uuyyy5jRUVF2u9nnHEGmzt3rva7LMssPz+fPf3001H3pS12u50BYHa7Par2hBBCCIm/aD+/Eyqnym63AwDS09MBAJs2bYIoipg8ebLWZsiQIejduzc2btwIANi4cSMKCwuRk5OjtSkqKoLD4cD27du1NsG3EWgTuA2fz4dNmzaFtOF5HpMnT9baRNOX5rxeLxwOR8gPIYQQQo5PCRNUKYqCO+64A2eeeSZGjBgBAKioqIDBYEBqampI25ycHFRUVGhtggOqwPWB61pr43A44Ha7UV1dDVmWw7YJvo22+tLc008/jZSUFO2nV69eUR4NQgghhHQ3CRNUzZ07F9u2bcN7770X767EzAMPPAC73a79HDp0KN5dIoQQQkgn0cW7AwAwb948LFu2DOvWrUPPnj21y3Nzc+Hz+VBfXx8yQlRZWYnc3FytTfNVeoEVecFtmq/Sq6yshM1mg9lshiAIEAQhbJvg22irL80ZjUYYjcZ2HAlCCCGEdFdxHalijGHevHn45JNPsGrVKvTr1y/k+lGjRkGv12PlypXaZbt27cLBgwcxduxYAMDYsWOxdevWkFV6K1asgM1mw7Bhw7Q2wbcRaBO4DYPBgFGjRoW0URQFK1eu1NpE0xdCCCGEnMC6Jm8+vDlz5rCUlBS2Zs0aVl5erv24XC6tzS233MJ69+7NVq1axX7++Wc2duxYNnbsWO16SZLYiBEj2JQpU9jmzZvZ119/zbKystgDDzygtdm7dy+zWCzsnnvuYcXFxezVV19lgiCwr7/+Wmvz3nvvMaPRyBYvXsx27NjBbrrpJpaamhqyqrCtvrSFVv8RQggh3U+0n99xDaoAhP158803tTZut5vdeuutLC0tjVksFjZjxgxWXl4ecjv79+9n5513HjObzSwzM5PdddddTBTFkDarV69mI0eOZAaDgfXv3z/kPgL+/ve/s969ezODwcDOOOMM9v3334dcH01fWkNBFSGEENL9RPv5zTHGWLxGyU40DocDKSkpsNvtsNls8e4OIYQQQqIQ7ed3wqz+I4QQQgjpziioIoQQQgiJAQqqCCGEEEJigIIqQgghhJAYoKCKEEIIISQGKKgihBBCCIkBCqoIIYQQQmKAgipCCCGEkBigoIoQQgghJAYoqCKEEEIIiQEKqgghhBBCYoCCKkIIIYSQGKCgihBCCCEkBiioIoQQQgiJAQqqCCGEEEJigIIqQgghhJAYoKCKEEIIISQGKKgihBBCCIkBCqoIIYQQQmKAgipCCCGEkBigoIoQQgghJAZ08e4AIYQQQjqHojBsL3Og1uVDusWA4fk28DwX724dtyioIoQQQo5DG0qqsXBtKUqrnBBlBr3AoSDbijmTCjBuQGa8u3dcouk/Qggh5DizoaQaD36yFcXlDiQZdchONiLJqENxeQMe/GQrNpRUx7uLxyUKqgghhJDjiKIwLFxbCqdXQq7NBJNeAM9zMOkF5NqMcHplLFxbCkVh8e5qzCgKw9bDdqzdfRRbD9vj9tho+o8QQgg5jmwvc6C0yok0iwEcF5o/xXEcUi16lFY5sb3MgcKeKXHqZewk0jQnjVQRQgghx5Falw+izGAQwn/EGwUeosJQ6/J1cc9iL9GmOSmoIoQQQo4j6RYD9AIHn6yEvd4rK9DzHNIthi7uWWwl4jQnBVWEEELIcWR4vg0F2VbUuUQwFhpQMMZQ7xJRkG3F8HxbnHoYG+2Z5uwqFFQRQgghxxGe5zBnUgGsRgEVDi/cogxFYXCLMiocXliNAuZMKuj29aoScZqTgipCCCHkODNuQCaemlGIoXnJcHklVDm9cHklDM1LxlMzCo+LOlWJOM1Jq/8IIYSQ49C4AZkY0z/juK2oHpjmLC5vQK6ND5kCDExzDs1L7tJpThqpIoQQQo5TPM+hsGcKJg3KQmHPlOMmoAISc5qTgipCCCGEdEuJNs1J03+EEEII6bYSaZqTgipCCCGEdGuBac54o6CKEEJIl1AUlhCjCYR0FgqqCCGEdLpE2p+NkM5CieqEEEI6VaLtz0ZIZ6GgihBCSKdJxP3ZCOksFFQRQgjpNIm4PxshnYWCKkIIIZ0mEfdnI6SzUFBFCCGk0yTi/myEdBYKqgghhHSawP5sdS4RjIXmTQX2ZyvItnbp/myEdBYKqgghhHSaRNyfjZDOQkEVIYSQTpVo+7MR0lmo+CchhJBOl0j7sxHSWSioIoQQ0iUSZX82QjoLTf8RQgghhMQABVWEEEIIITFAQRUhhBBCSAxQUEUIIYQQEgMUVBFCCCGExAAFVYQQQgghMUBBFSGEEEJIDFBQRQghhBASAxRUEUIIIYTEAAVVhBBCCCExQNvUEEI0isJobzZCCOmgDgVVq1evxtlnnx3rvhBC4mhDSTUWri1FaZUTosygFzgUZFsxZ1IBxg3IjHf3CCEk4XVo+m/q1KkoKCjAk08+iUOHDsW6T4SQLrahpBoPfrIVxeUOJBl1yE42IsmoQ3F5Ax78ZCs2lFTHu4uEEJLwOhRUHTlyBPPmzcOHH36I/v37o6ioCEuXLoXP54t1/wghnUxRGBauLYXTKyHXZoJJL4DnOZj0AnJtRji9MhauLYWisHh3lRBCElqHgqrMzEzMnz8fmzdvxg8//IBBgwbh1ltvRX5+Pv70pz9hy5Ytse4nIaSTbC9zoLTKiTSLARwXmj/FcRxSLXqUVjmxvcwRpx4SQkj3cMyr/0499VQ88MADmDdvHpxOJ/79739j1KhRmDBhArZv3x6LPhJCOlGtywdRZjAI4d8OjAIPUWGoddFINCGEtKbDQZUoivjwww9x/vnno0+fPli+fDleeeUVVFZWoqSkBH369MEll1wSy74SQjpBusUAvcDBJythr/fKCvQ8h3SLoYt7Rggh3UuHVv/ddtttePfdd8EYwzXXXIMFCxZgxIgR2vVJSUl47rnnkJ+fH7OOEkI6x/B8GwqyrSgub0CujQ+ZAmSMod4lYmheMobn2+LYS0IISXwdCqp27NiBv//975g5cyaMRmPYNpmZmVi9evUxdY4Q0vl4nsOcSQV48JOtqHB4kWrRwyjw8MoK6l0irEYBcyYVUL0qQghpQ7un/0RRRJ8+fTBmzJiIARUA6HQ6TJo06Zg6RwjpGuMGZOKpGYUYmpcMl1dCldMLl1fC0LxkPDWjkOpUEUJIFDjGWLvXSaekpGDz5s3o169fZ/TpuOVwOJCSkgK73Q6bjaZSSOKhiuqEENJStJ/fHUpUnz59Oj799NOO9o0QkqB4nkNhzxRMGpSFwp4pFFARQhKGojBsPWzH2t1HsfWwPSFr53Uop2rgwIF4/PHH8d1332HUqFFISkoKuf5Pf/pTTDpHCCGEENJdttHq0EjVv/71L6SmpmLTpk1444038OKLL2o/L730UtS3s27dOlx44YXIz88Hx3EtRr9mz54NjuNCfqZOnRrSpra2FldddRVsNhtSU1Nx/fXXw+l0hrT57bffMGHCBJhMJvTq1QsLFixo0ZcPPvgAQ4YMgclkQmFhIb788suQ6xljePjhh5GXlwez2YzJkydjz549UT9WQgghhLRfd9pGq0NB1b59+yL+7N27N+rbaWxsxMknn4xXX301YpupU6eivLxc+3n33XdDrr/qqquwfft2rFixAsuWLcO6detw0003adc7HA5MmTIFffr0waZNm/Dss8/i0UcfxRtvvKG12bBhA6644gpcf/31+PXXXzF9+nRMnz4d27Zt09osWLAAL7/8Ml5//XX88MMPSEpKQlFRETweT9SPlxBCCGmuO0xrxUt320arQ4nqnYHjOHzyySeYPn26dtns2bNRX18fMX+ruLgYw4YNw08//YTTTjsNAPD111/j/PPPx+HDh5Gfn4+FCxfiz3/+MyoqKmAwqMUL77//fnz66afYuXMnAOCyyy5DY2Mjli1bpt32mDFjMHLkSLz++utgjCE/Px933XUX7r77bgCA3W5HTk4OFi9ejMsvvzyqx0iJ6oQQQoJ1l2mteNl62I6b3/4ZSUYdTHqhxfVuUYbLK2HRNaehsGdKp/Uj2s/vDuVUAcDhw4fx+eef4+DBgy02Un7hhRc6erMtrFmzBtnZ2UhLS8M555yDJ598EhkZGQCAjRs3IjU1VQuoAGDy5MngeR4//PADZsyYgY0bN2LixIlaQAUARUVFeOaZZ1BXV4e0tDRs3LgRd955Z8j9FhUVacHcvn37UFFRgcmTJ2vXp6SkYPTo0di4cWPEoMrr9cLr9Wq/Oxy0dxohhBBVYFrL6ZWQZjHAIPDwyYo2rUXlTKLbRsueQNtodSioWrlyJS666CL0798fO3fuxIgRI7B//34wxnDqqafGrHNTp07FzJkz0a9fP5SWluLBBx/Eeeedh40bN0IQBFRUVCA7Ozvkb3Q6HdLT01FRUQEAqKioaFH6IScnR7suLS0NFRUV2mXBbYJvI/jvwrUJ5+mnn8Zjjz3WgUdOCCHkeNZ8Wiuwk4GJF5Br41Hh8GLh2lKM6Z9xQq/CDd5Gy8S3HKlKtG20OpRT9cADD+Duu+/G1q1bYTKZ8NFHH+HQoUOYNGlSTPf7u/zyy3HRRRehsLAQ06dPx7Jly/DTTz9hzZo1MbuPzvTAAw/AbrdrP4cOHYp3lwghhCSA7WUOlFY5kWYxhGwNBajpMKkWPUqrnNhedmLPcAS20apziWierRTYRqsg25ow22h1KKgqLi7GH//4RwDqyJDb7YbVasXjjz+OZ555JqYdDNa/f39kZmaipKQEAJCbm4uqqqqQNpIkoba2Frm5uVqbysrKkDaB39tqE3x98N+FaxOO0WiEzWYL+SGEEEKimdYSE2haK14C22hZjQIqHF64RRmKwuAWZVQ4vAm3jVaHgqqkpCQtjyovLw+lpaXaddXVnbe08fDhw6ipqUFeXh4AYOzYsaivr8emTZu0NqtWrYKiKBg9erTWZt26dRBFUWuzYsUKDB48GGlpaVqblStXhtzXihUrMHbsWABAv379kJubG9LG4XDghx9+0NoQQggh0Qqe1gon0aa14qk7baPVoZyqMWPG4Ntvv8XQoUNx/vnn46677sLWrVvx8ccfY8yYMVHfjtPp1EadADUhfPPmzUhPT0d6ejoee+wxXHzxxcjNzUVpaSnuvfdeDBgwAEVFRQCAoUOHYurUqbjxxhvx+uuvQxRFzJs3D5dffjny8/MBAFdeeSUee+wxXH/99bjvvvuwbds2/O1vf8OLL76o3e/tt9+OSZMm4fnnn8e0adPw3nvv4eeff9bKLnAchzvuuANPPvkkBg4ciH79+uGhhx5Cfn5+yGpFQgghJBqBaa3i8gbk2viQKcDAtNbQvOSEmdaKt3EDMjGmf0bib6PFOqC0tJRt2bKFMcaY0+lkN998MyssLGQzZ85k+/fvj/p2Vq9ezQC0+Jk1axZzuVxsypQpLCsri+n1etanTx924403soqKipDbqKmpYVdccQWzWq3MZrOxa6+9ljU0NIS02bJlCxs/fjwzGo2sR48e7K9//WuLvixdupQNGjSIGQwGNnz4cPa///0v5HpFUdhDDz3EcnJymNFoZOeeey7btWtX1I+VMcbsdjsDwOx2e7v+jhBCyPHnuz1H2aQFq9ioJ1awc59fw85/aR079/k1bNQTK9ikBavYd3uOxruLxC/az++EqVN1IqA6VYQQQoKF1KlSGPQ81alKRJ1ep4oQQgghx6bbTGuRqEQdVKWlpbVY9hlJbW1thztECCGEnEh4nuvUauCk60QdVLVno2RCCCGEkBNN1EHVrFmzOrMfhBBCuiFFYTR1RYjfMedUeTyeFnv/URI2IYQc/2gzYEJCdaj4Z2NjI+bNm4fs7GwkJSUhLS0t5IcQQsjxLbAZcHG5A0lGHbKTjUgy6rTNgDeUdF4haEISVYeCqnvvvRerVq3CwoULYTQa8c9//hOPPfYY8vPz8Z///CfWfSSEEJJAmm8GbNIL4HkOJr2AXJsRTq+MhWtLoShUsScaisKw9bAda3cfxdbDdjpu3ViHpv+++OIL/Oc//8FZZ52Fa6+9FhMmTMCAAQPQp08fLFmyBFdddVWs+0kIISRBtGczYFrV1jqaQj2+dGikqra2Fv379weg5k8FSiiMHz8e69ati13vCCGEJBzaDDg2aAr1+NOhoKp///7Yt28fAGDIkCFYunQpAHUEKzU1NWadI4QQknhoM+BjR1Oox6cOBVXXXnsttmzZAgC4//778eqrr8JkMmH+/Pm45557YtpBQgghiSWwGXCdS0Tznc6YfzPggmwrbQbcivZMoZLuo0M5VfPnz9f+PXnyZOzcuRObNm3CgAEDcNJJJ8Wsc4QQQhIPz3OYM6kAD36yFRUOL1ItehgFHl5ZQb1LhNUoYM6kAqpX1YpoplDtNIXa7bRrpGrjxo1YtmxZyGWBhPVbbrkFr7zyCrxeb0w7SAghJPGMG5CJp2YUYmheMlxeCVVOL1xeCUPzkvHUjEJKsm4DTaEen9o1UvX444/jrLPOwgUXXAAA2Lp1K66//nrMnj0bw4YNw4IFC5Cfn49HH320M/pKCCEkgdBmwB0XmEItLm9Aro0PmQIMTKEOzUumKdRupl0jVZs3b8a5556r/f7ee+9h9OjR+Mc//oH58+fj5Zdf1pLWCSGEHP8CmwFPGpSFwp4pFFBFKTCFajUKqHB44RZlKAqDW5RR4fDSFGo31a6gqq6uDjk5Odrva9euxXnnnaf9fvrpp+PQoUOx6x0hhBBynKIp1ONPu6b/cnJysG/fPvTq1Qs+nw+//PILHnvsMe36hoYG6PX6mHeSEEIIOR7RFOrxpV1B1fnnn4/7778fzzzzDD799FNYLBZMmDBBu/63335DQUFBzDtJCCGEHK8CU6ik+2tXUPXEE09g5syZmDRpEqxWK9566y0YDE0rE/79739jypQpMe8kIYQQQkii41jzym1RsNvtsFqtEAQh5PLa2lpYrdaQQIs0cTgcSElJgd1uh81GKzoIIYSQ7iDaz+8OFf9MSQk/TJment6RmyOEEEII6fY6tE0NIYQQQggJRUEVIYQQQkgMUFBFCCGEEBIDFFQRQgghhMQABVWEEEIIITFAQRUhhBBCSAxQUEUIIYQQEgMUVBFCCCGExAAFVYQQQgghMUBBFSGEEEJIDFBQRQghhBASAxRUEUIIIYTEAAVVhBBCCCExQEEVIYQQQkgMUFBFCCGEEBIDFFQRQgghhMSALt4dIIQQQjpKURi2lzlQ6/Ih3WLA8HwbeJ6Ld7fICYqCKkIIId3ShpJqLFxbitIqJ0SZQS9wKMi2Ys6kAowbkBnv7pETEE3/EUII6XY2lFTjwU+2orjcgSSjDtnJRiQZdSgub8CDn2zFhpLqeHeRnIAoqCKEENKtKArDwrWlcHol5NpMMOkF8DwHk15Ars0Ip1fGwrWlUBQW766SEwwFVYQQQrqV7WUOlFY5kWYxgONC86c4jkOqRY/SKie2lzni1ENyoqKgihBCSLdS6/JBlBkMQviPMKPAQ1QYal2+Lu4ZOdFRUEUIIaRbSbcYoBc4+GQl7PVeWYGe55BuMXRxz8iJjoIqQggh3crwfBsKsq2oc4lgLDRvijGGepeIgmwrhufb4tRDcqKioIoQQki3wvMc5kwqgNUooMLhhVuUoSgMblFGhcMLq1HAnEkFVK+KdDkKqgghhHQ74wZk4qkZhRialwyXV0KV0wuXV8LQvGQ8NaOQ6lR1kKIwbD1sx9rdR7H1sJ1WULYTFf8khBDSLY0bkIkx/TOOq4rq8awQT8VUjx3Hmk9Ik07jcDiQkpICu90Om43m+gkhhDSJZ1ATKKbq9EpIsxhgEHj4ZAV1LhFWo3DCj/5F+/lN03+EEEJInMWzQjwVU40dCqoIIYSQOIp3UEPFVGOHgipCCCEkjuId1FAx1dihRHVCCCEkjqIJauwdDGqiSXwPLqZq4oUWt0HFVKNHQRUhhBASR50V1GwoqcZra0qxq6IBPlmBQeAxODcZt54VmvgeKKZaXN6AXBsfMloWKKY6NC+ZiqlGgab/CCGEkDjqjArxG0qqMX/pZvywrwZ1Li+cHhF1Li9+2FeD+Us3hyS+UzHV2KGgihBCCImjWAc1isLw9FfFONrghaIwCDwPvY6HwPNQFIajDV48/VVxSOJ7dy+mmihFS2n6jxBCCImzQFATqFNlVxj0PIehecntrlO19Ygduyud4ADodTw4qMEYx6m/i5KC3ZVObD1ix8m9UkP60B2LqSZS0VIKqgghhJAEEKugZvPBeoiyAh3PaQFVAAcOAs9BlBVsPlgfElQB6qhZYc+UY30oXSZS0dJAfa+uHmWjoIoQQgiJoWPZaiYWQQ0L3FWku+Sateummtf3CiTYm3gBuTYeFQ4vFq4txZj+GV022kZBFSGEEBIjiTAVdUqvVOh4HrKsgBdYi9V8ssyg43mc0myUqrsJru8FDnD7ZEiKAh3Pw2TgQ+p7ddXoGwVVhBBC4iqemwjHUqJMRRX2SMHgXCu2lzkg+oMMDgADICkKGIDBuVYU9ug+03zhBOp7+WQF5XYPvJIMxtTcMaNOQIbV0OVFSymoIoQQEjeJMLITC4k0FcXzHB44byjmL92MGqcXkqwGUhzUgCMz2YgHzhvaLQPXYOkWAxTGcKTODQAQeA4cDzAGeEQZR+rcSDHru7RoKZVUIIQQEhfx3EQ41uK91Uxz4wZk4obx/WA16sGgBhoMgNWoxw3j+3WrgDWSobnJkBmDrDAIPMBzamI+z3EQeEBWGGTGMDQ3ucv6REEVIYSQLhfvTYRjLdH2z9tQUo0lPxyETuDQI9WMXulm9Eg1QydwWPLDwW4VsIajKAxf/Fbur8PFQVIYFMbAmPp/SQF0AgeBA4orGrqsXzT9RwghRNNV+U3tGdnpDkv8E2n/vEhTkQCQwlhcVsXFUmDKePsROxq8kjqtCUBSmDbFadbzyEgywiXKlFNFCCGk63VlflNnbiIcD4m0f97xFrAGC14MkGTUocEjAZwaSHIAMqwGJBv1MOl5eCQFelmhnCpCCCFdq6vzm4JHdsLpypGdWEik/fMSbSoyVpqPwKWY9TDqeShMneoDgEavDJNBfdwd2TPxWFFQRQghJ7h45Dd1xibC8ZYo++cdbwFrQPMROI7jkJVsgsBxkBR12s8jSrC7xLhtBE3Tf4QQcoKLx3RRYGTnwU+2osLhRapFD6PAwysrqHeJsBoFFA3PxfqS6m5VuyoR9s9LpKnIWAo3Amc16tAjzYyjDR54RQUKA1w+GcPybbT3HyGEkK4Xr/ymSJsI56UYAQCvrS7plrWr4r1/XjQBa6QRnEQuxBppMYDVqEOSIQn1bhEur4S/TBuG34/Mj0u/KagihJATXDxXrjUf2TlU68I/1pWi0ScnxAa53VWkgHVoXnLE4DTRC7G2NQLn9EjomWZG/6ykuPUxrjlV69atw4UXXoj8/HxwHIdPP/005HrGGB5++GHk5eXBbDZj8uTJ2LNnT0ib2tpaXHXVVbDZbEhNTcX1118Pp9MZ0ua3337DhAkTYDKZ0KtXLyxYsKBFXz744AMMGTIEJpMJhYWF+PLLL9vdF0I6SlEYth62Y+3uo9h62N5tavOQ40O885sCIzsTBmRi+fYKNPrkbl27KlFez+MGZOKta8/AomtOw3OXnIxF15yGt649I2JAleiFWCMtBqhp9GJXZQMcHhF7qxtx/Vs/4Y///iEufY5rUNXY2IiTTz4Zr776atjrFyxYgJdffhmvv/46fvjhByQlJaGoqAgej0drc9VVV2H79u1YsWIFli1bhnXr1uGmm27Srnc4HJgyZQr69OmDTZs24dlnn8Wjjz6KN954Q2uzYcMGXHHFFbj++uvx66+/Yvr06Zg+fTq2bdvWrr4Q0hEbSqox680fcfPbP+PupVtw89s/Y9abPybEmxg5MSTKyrVEq0reEYn2eg4ErJMGZaGwZ0rEKb/uUoi1+WKAw/VuVNg9kBWAAwefpE5x/rCvFvOXbu7y486x5l9L4oTjOHzyySeYPn06APXbUX5+Pu666y7cfffdAAC73Y6cnBwsXrwYl19+OYqLizFs2DD89NNPOO200wAAX3/9Nc4//3wcPnwY+fn5WLhwIf785z+joqICBoM6dH3//ffj008/xc6dOwEAl112GRobG7Fs2TKtP2PGjMHIkSPx+uuvR9WXaDgcDqSkpMBut8Nm614JgqRzRNqAtc6f90BTHaQrhUz/+KeLunL6Z+3uo7h76RZkJxsjfvhXOb147pKTMWlQVqf3p70S6fXcntyorYftuPntn5Fk1MGkbzn96xZluLwSFl1zWsLUtVIUhq1H7PjTe7/iUK0LHIeWG0czdRT2s7njj/kLQbSf3wmbU7Vv3z5UVFRg8uTJ2mUpKSkYPXo0Nm7ciMsvvxwbN25EamqqFlABwOTJk8HzPH744QfMmDEDGzduxMSJE7WACgCKiorwzDPPoK6uDmlpadi4cSPuvPPOkPsvKirSpiOj6Us4Xq8XXq9X+93hSNxvV6TrJdIGrIQA8V+5lkhVydsrkV7P7c2N6o6FWAPHsLzeAw6Anm/KsQr8LsoKdlU4sfWIHSf3Su2afnXJvXRARUUFACAnJyfk8pycHO26iooKZGdnh1yv0+mQnp4e0ibcbQTfR6Q2wde31Zdwnn76aaSkpGg/vXr1auNRkxPJ8TDVcaJJlFyZzhTNdFFniXdu17FIlNdzR3Kjumtdq18P1UNSFAgCF/aYCwIHSVHw66H6LutTwgZVx4MHHngAdrtd+zl06FC8u0QSyPFa9fh4lWi5MsejRMnt6ohEeD13NDequwazXKCrkb7bsGbtukDCBlW5ubkAgMrKypDLKysrtetyc3NRVVUVcr0kSaitrQ1pE+42gu8jUpvg69vqSzhGoxE2my3kh5CA7vrt8EQU+du/A3d9sAUL15QetyNXXS1RqpK3V1e+niONmHZ0tKy7BrMje6dCL/CQFQbWLLJiYJAVBr3AY2Tv1C7rU8LmVPXr1w+5ublYuXIlRo4cCUDNSfrhhx8wZ84cAMDYsWNRX1+PTZs2YdSoUQCAVatWQVEUjB49Wmvz5z//GaIoQq/XAwBWrFiBwYMHIy0tTWuzcuVK3HHHHdr9r1ixAmPHjo26L4S01/Fa9fh4EylXRhIZ3D4ZtaIPL6zYhf9s2IcBOZFrAJHoxTu3qyO66vXcWr6UqLAO50Z1pK5VvBX2SMGgHCu2lzkgSgp0Ag+OAxgDJFkBAzAox4rCHl2XXB/XoMrpdKKkpET7fd++fdi8eTPS09PRu3dv3HHHHXjyyScxcOBA9OvXDw899BDy8/O1FYJDhw7F1KlTceONN+L111+HKIqYN28eLr/8cuTn5wMArrzySjz22GO4/vrrcd9992Hbtm3429/+hhdffFG739tvvx2TJk3C888/j2nTpuG9997Dzz//rJVd4Diuzb4Q0l7HUvWYdJ1w3/6dXglH6txQGIPAcwADdAJPBSpjKN5VydurK17PkVYXBs67Gyb0P6ZE/+4WzPI8hwfOG4r5SzejttEH2b/ij+PU6zKSDHjgvKFd2v+4llRYs2YNzj777BaXz5o1C4sXLwZjDI888gjeeOMN1NfXY/z48XjttdcwaNAgrW1tbS3mzZuHL774AjzP4+KLL8bLL78Mq9Wqtfntt98wd+5c/PTTT8jMzMRtt92G++67L+Q+P/jgA/zlL3/B/v37MXDgQCxYsADnn3++dn00fWkLlVQg4cR7GTtpXfNl/gwM+6td8IgydIIaUEkKQ880M6xGHSocXgzNS8Zb156RsB9GpPN01utZURhmvfkjissdISOmgPr5VOHwYkhuMgCGnRVO5NqMYdu0dW4m8jY1kWwoqcZra0qxq6IBPlmBQeAxODcZt54Vu/fQaD+/E6ZO1YmAgioSSXd8IztRNK/h4/bJOFDbCJ7jwHMcFMagMIY+6UkwG4SErOlDjl17XqOd8XqOtpbUnLMK8NqaUjR6ZdjMOiQbBDT4ZDjcEpKMAp79w0kYPzB8ja/2lmKI5/tW8/sempuM4oqGTutLt69TRciJpLtNdZxImufKBIoKcrz67V9SGMx6Hia9mseSiDV9yLFpb7AR7eu5PUFJNKsLj/pkvP/TIfgkBW5RgtMjgkGdDhN4DnqBw6J1e8FzXIt+tzW12HxKO577BIa77/5ZSZg6Ig+90i2det9toaCKEEJa0TxXxqznATDICqAwQOA4ZCU3TcfQqs3jS3uDjfbcbnuCkrYKo9a7RTi9Eg7XuZCVbILVKOBIvQeywsBzQH6qCQZBCNvv9hYu7axjEu1xa37f9W4ffthXi417a2E16pBkEOKWQpGwJRUIISRRBC/zlxUGjuMgKwwmHY8e/lwqILFr+pD266w98TpSoLO1WlIKU1DV4AHPAT1SzTDqeNQ0+sAAGHQcAA41ThFGPR+23+0pxRDPfQLD3bdLlHG0wQeFMYAxSLICi1GI20bQFFQRQkgUxg3IxFvXnoFF15yGO383CDn+N3WB57pFTR/Sfp1RJb2jQUlrtaSO1HugMPgXU/DwiAq8kgIdz4HneAg8B68kw+NTwva7PYVL41k5vvl9M8ZwtMEDmTHoeR46/4gZGBe3jaApqCKEkCgFcmXmnDUAz19yMobl2xK+QGWibK2TKP1oj86okn4sQUmkwqg9Us2wGnRINatTzlren3a7/tpNihK23+0pXBrPyvHN7zs4eOQ4LuRxxmurL8qpIoSQDugONX3imUyciP1or87Y4PlYNy8Od94pjGHOfzdp/dTx/iKYUAOrQO0mHc+H7Xd7CpduL3PEbdPr5s+HFFSXijEGmamV1SWZgTEWl0UjNFJFCCEdFM/Nh9vSkbyd46kfsRgZ64w98WKxnU3z866wR0pIP016HkYdD0lhUJgCWWEw6gSYDHzYfrdnm5p47hPY/L4DwaOsMPhkBaLMoChAZYMH+2saUef2dfmiEQqqCCHkOBPPZOJE6EesNr/u6J54rQV0nRGUNO+nR1KQkWQEzwE+Sb2PDKsBHlGJ2O9o91yM5z6Bze+bgUHgOIgKQ+AQ6wS1fpxblFFh9yDDaujSRSNU/LMLUfFPQkhHRKpnFOnyaAtFdnaB0nj0I9Jy/zr/VjEdyXlrT5X0aKY6m/ooh93OJiZlGhQGRVEg+8t+8DwXVXX3aGtnxXMniMB9l1Q2oMrpg+yPqNTEfE7bTBlQg9jP5o4/5iCPin8SQshxINKH9MSBmVi3pzrmG+vG0rHmD7VXe+stRSva/Llo6zd11ubF4frZ3krj0RYujWdOYeC+P9tchif/twOSosDpkSEpDGommVrsNNWsR41TXbHYVcWVKagihJAEFelD+rfD9dhYWgOLQUCOzRTzjXVjpTMSvVvTnpV17f2QbSvYCA7ocmxGeEWGRp8EHc8jx2ZApcMXEtB1VlASrp+dFVDEcycInueQbjVAUhhcXhkcB+h5Tk3Mh5qc73CLsBh1XZqoTkEVIYQkoEijLkaehySr0xtqArK6Wit4NObrbeXon2XFzoq2V3N1pvasKouFrh4ZCxYI6Iw6AQdq3PBKsrYyzagTkGJuGdDR9lTHJtWsh0eUoTAGvY4Hh6DzCwyipMAjykg167usT5SoTgghneBYV59FGnXx+BT4ZAU6/wiQR2xaRRYYjdl7tBFTR+TGJZk4WFcnNcdiZV1H1bp8aPTJqHJ44BFl8BynJU17RPXyRp9Me0LGmJYV3vzlxZpd30VopIoQQmIsFnWZIo26BGrzCDwgK4GCjk1Ta4HRmF7plhZ5OzoO6JlmRtHwHCSb9FAU1umBVWflD4XT1SNjwSKNmnAcwAmIy6jJ8a7eLcKsF+AWGUSFQcdDm/6TFAaB52A2CKh3i13WJwqqCCEkhmK12WykfKRAbR6lWUHHgODRmMKeKVrezrcl1Vi+vQJVDg/+/e1+vL3xQJet1uqqpObmm1+HW1nXmSN0IaMmwXcRp1GT4126xYAkowCrSYDdLcIrNRUDNet52Mx6gIHqVBFCSHfQfIpPkpSY1WWKVM/IZOBhENS8KoPAw6RvehuPVNixwSPi/Z8O4nCdK26FQLuqUGq09ZZiJXAOrN9zFAadWrpArZukVvVWmDqKciyjJt1xi5+uEHiNeCWGPukW9ElPQs80M/qkJ6FPugU+iXX55uY0UkXICSjaWjQksnBTfNk2Ew7VupCedOyrz1obddEJHASeg8Dz8EhKq6MxnVVmIJF11chY8Dng8slw+2QIPA+9oFb5jsWoSXfd4idYZ73fBL9GKht8SLXokWTQwSsrqGzwxWVzcwqqCDnBHA9v0vEWaYpv79FGNHpFWE3hi122d/VZpHykk3qmhtSpai1PqTPLDCSyzl5Z1/wcSDXrsV9S4BZlCAqQnaKWutDxPIw6DpUNvnbnc8VqKjmeOvv9pitz9qJBQRUhJ5Dj4U063lob+cmyGuD0iqhyeJFs0oUs8QY6tvqstVGX68f3b3MEIJ5lBo4nwaMtqWY9XlvT8hzISTHhSJ0LosxQ1yiiX6YFPpl1aNTkeBhh7Kr3m0Ta3JyCKkJOEMfDm3QiaG3kx2wQYNQJ8Eoy3F4ZFmPTW+yxrD6LNOoSzWhMVxfgPB41H21hYGjwSMi0GkPOAatRhx5pFlTYPfBJMsrtHpj1QodGTbr7CGNXv98kSs0vCqoIOUF09zfpRNHayA/HcchONuJQnQvVTi+yeK5LV5+FE88yA8eDcKMtdS4ffLKCKocHBh0Pa1DwbDXq0C/DgjKHB9eP74dJg7I7NGoSqxHGeOVPnqjvNxRUEXKCoGmg2Ghr5Eev45Fm0aNXehKqHJ6453jEu8xAdxZptMVi0EHn39D6aIMXSUYhZKrXpzBY9AImDcrucMAQixHGeOZPnqjvNxRUEXKCoGmg2Ihm5GdYfgrenHV6uzay7UyJlszbXUQabTHpeRh1PNw+GR5RgsenwGxQX1OxGv071hHGeOdPnqjvNxRUEXKCoGmg2Ih25Een4xNqWiORknm7i0ijLRzHISu5KSnd5ZNg1MV29O9YRhgTIX/yRH2/oeKfhJwgunoftuNZVxeYjJWuKsDZmbqyEGbwaAtjDG6fjAaPCLdPRpJBQGayEXqBhyizTjkHOnqetSefqbOcqO83NFJFyAmEpoFih0Z+ul5X5wgFRlu2HLJDVhR/cKUW9DQIPASexxn90nBP0RDUu8VOOQc6cp4lSj7Tifh+Q0EVIScYCgZiJ1GWcZ8I4pEjxPMcJg7MxMbSGsgK81eyV/dddPlkCLyCSYOycHKv1Jjeb7h+tOc8S6R8phPt/YaCKkJOQBQMkO4kXjlCisKwbk81kowCJJnBJyuQFXWkymIQoBM4rNtTjevH90+oICHR8pm64v0mUbbeoqCKEEJIQotXzaPA/WYnm2DU8/D4FEiKAh3Pw2Tg4RGVhKy1dKKV0dhQUo3X1pRiV0UDfLICg8BjcG4ybj2LtqkhhBBCQsQrRyj4fjlw/rIJTdNpgfutbvRi62F7h0dJ2jvKEk37SPlMPdPMKBqei2STHorCun1gtaGkGvOXbkZtow+MNW1i/cM+H/ZUNeDFS0d2aWBFQRUhhHSBeExPJMqUyLGKV45QNPerKAr+9s0eVDk8HUqe/3bPUTy7fBf2VTdCVhjMeh5D8my49awBYf++Pcn6wflM35YcxfLtlai0u/Hvb/fh7Y37u6QQaGeeg4rC8PRXxTja4AUHQCfw4DiAMUCSFRxt8OLpr4rx2dzxXXbeU1BFCCGdLB6VreNZTTvW4pUj1Nb9Vjm88MkyDte5OpQ8/491pViwfBdEuakshMsnY+PeWuyp2txilKUjyfo8z6HBI+L9nw51eSHQzj4Htx6xY3elE2CATuevac8AnuOg1/EQJQW7K53YesTe6YsJAqhOFSEkRFfWAToRBD4Ii8sdSDLqkJ1sRJJRp32gbSipPi7uszPFq+ZRa/dbbvfAJ8sw6njk2kww6QXwPAeTXkCOzYB6t4j/92UxthyqD/sa+nbP0RYBFQAwALLCUOUfZQn8bfNk/eD7y7UZ4fTKWLi2tMV9dfTvjlV7z0FFYRBlRd2M3Cej0SvB4RFhd4mobfSh2ulFVYMHFXYPyurdOFTrwqriKvgkBeqsMIfgR8CBg8BzEGUFmw/Wx/SxtYZGqgghmuNpdCMRxGPVWiJU0+4M7a15FKtpp0j32yvdgkO1LqQnhSbPO70SjjZ44RElFJeLuP6tnzA0zxbSR0VheLZZQKXdBFMDK8aAXRUN2ihLR5P1OzPJP9IxVhSGV1fvQV2jFzazAbLMoPAMOp5DRpIeVQ0+vPjNbvRINQOcGkR2hBwIoziAQc2nAgN43n88/Q+XdeFpTkEVIQRA/PcKOx7FY9VavFbKdYVoax7F+svBuAGZOKNvOr74rRxH6l3okWpBilmH+z7aGpI87/RKOFLnhsIYeP+xNwh8i9fQ9jIH9lc3an8X8jRxAOcPrESF4ddD9Ti5V2pI0jwDa7ESMVKyfnWjFy6fDL3AgzF138Lg86I9Sf6MMcgKg8LUY/zG+r3Ye1Q9xjqeQ59MC64e3Qf7ahrx4746KIzB6XVrxVLTrUZY9AKSTTocqG5EcXkDBuVa2/18BAzLs0HHc5BkBhY8TqUwcP7jquN5nNJFU38ABVWEEBy/oxvxFo9Va4lQTbszk5PbqnnUGV8OwgVp2TYTFMa0JHYGhqMNXihMLRLKmDohZTHokK4PfQ3VunyQWRSjM0wNsICmpPl6twi7W4RXkrWVbkadgBSzvkWy/oaSary0YjccbhEOjwieA4w6HpnJJiQZ1I9/tyiDhzqoU+XwQGHqqI/C1OeRBf3O/H3+9WAdXlixGy6fDJtJD6uRgygz7Kl04rEvtkOUGUSFQS+o03AMgEdSUGn3ICfFBJOORwNjsHuO7RwclGNFTooRh+s84Q4dGAN6pJlQ2KPrvjxQUEUIOa5HN+IpHqvWuvo+mwdQdrcPi9btjcsUcmd8OQgO0lIteigK4BFl7Kt2wiupo0W90izwiGo+kMBzAAMk/0q+wMhQ8Gso3WKASS+g0SujtdBKJ3AY2TsVADA0NxnpSXpsL2vwr3TjwPNq4ODySmj0ShiUY4XNpMOBmkZs2l+H51fsUkep/EnbHA+4fAoO17qQatHDYtChwSOhINuK/FQTnF6p7WPMGN758RBcPhmZVgP86eEw6jhkWA3YX90IxgIJ2xw4Tm3B8eoxqXV6kWE1Qs9xSDEd+zno8cmtXu9u4/pYo6DqOOGTFMgKCxlG5jj1W4L6fzSd3BxafHCS2OtOy9kTYXTjeBSPVWtdeZ/NR3AUpqDRpyZvZyebunwKOdZfDoKDNKtRhwq7Vxshgn/CSVEYKhweGAQeisLACYCkAALHISu5KbAzCjzqZQVVDR6M7Z+BgdlW1DbWqiNBESKrfhlJSDHr/eUWFPgkxf9g1OAGCvxv7lBzsRiDqKhtlvx4UAt83KI6SqROkwEyA2oaRdQ2itDrOJzeJ02brmxLSWUjDtU0wmbSawFVgE9k2mPR63hIsgJOCHwOqVv8+PwFSAflJmNATlJU9xnJzooGVDeKrbapdHix5XA9Tumddkz3FS0Kqo4TDR51SLg9AkGW+u+mAAzBl0XxQmOMae0CQZv6by7otgM3Gnp54G8i9a/V/rdoH3S/XNNlTY+x5e2xMO9mIcFn0DEJF6TyEY5Rd0v4TqS9whJVR4LkeFS27qr7bD7Npuc57K9xwSsqkGUGKYnBpOe6dAq5PV8OFKUpC4cxFnbEaOthO0oqG6AXeC1XSuADI0RqLo8IhiSjDk63BMUfsRj1PDKSjGpQKSlqDpSogAcgSmoQ9odRPbG7sgG1jWLY+7aZdLh5Un81eIIazNS7RKSa9bC7RUha59VRoVSzHvUuESWVaq5WcOBj0avTg9WNoV+KdAIHg8Dji9/KMDDHGlXgYff4ICoMNqHlcyizpg2nrUYBDjeDLLOmxHHGICmAQcfhyjN6RR3IRbJu99E22zAAX22roKCKdL6QNxKm/Yd0QHAg9suBOjz3f+qwe4pZjyQjD1FWsO2IA/d+uAX3nzcUp/dLV/9O+09owNb8NgPXRwoWWwuOozEgOwn9spKws7wBuTZj3PcKSzTHsg1Ge1etxUJn32e4aTa3T4aoKNDrOCgKcLTBiySjoI1SBI8Sjehh8+fqqALvRYH8ncB3nebfeYJDn+C/VxgDUwCd/4uOS5Rg1AkhbQHAI8ngGIPbK2N/TSPasqeqAR5JgUeU1YBK4EK+FAoCgygDep7D478fjpdW7kaF3YscmxE8x2lf2hgYGjwi+mdZtdGZU3qn4cHzh2LR2lLsq3ZB9K+A0/FAv8wk3DKpICQQsHt8cIkKPD5Ja9f0fKhfrE0GnZanFAh8AgGdwyuCBxCIN2UGZCcbYTEIqHb68M6Ph3Byr9Q2A50UkxpAizKDQQd4RQaZKRA4XnsfYgww6XTQW3nUu0SIsqI9BwIPnDkgEw6PhG+KK+GTFIiy4v8/g09S4JPVn+aXi80uK6t3t/kcAoDL0/a0ZqxQUEVIDAQ+FBSF4b8/HGyRb2AQeGRa9ah2+vDmhv0Ykpd8zN/SYm3mKT3wQvVulNk9SDbpYRA4+GT1w8BiEDB9ZA8crHVFHNVU/990YciCpuC2QdeEXo6wv0RqH/bvml8XNIIarh/hxydC/bi3Fn/+bCvqGn3aVA3HAd/v9WJXhQNP/H4ETu+XHvaxB47V8PwUvHz5KdhZ3oA6tw9pZoN6DvCcNsIcPHLbPKDWggwEfg8KLtD8WKu/FfZMwStXnIJi/32mmg0Ykqued/X+adzWcqWDrwr+AsYYUFzmwO6KBiQbdZAUdR27R5SgKP6RHA7wiBIa3BKMel77Q7ckY0e5HUlGAQpjKKlshN3jQ4rJgAE5Scf8mshJMaJnugV7jzqRaeVCzh0GBoc7NLBpSyDnxycp4Pmm2wsEfoqijhLVNPog8DxumVSAF1bsRk2jL+xrqPnozCm90/Da1aOwu9KJHeUOcAwYmm/DoBxri2ORbNLDK8lQtEKXwa8LBZKsHnNZYZBl9ZyoafTC5ZXVqVl/W0UBAgOFLq8Mr6RAYUBxmR3PfLULVpMuKHAJ+r+swCepifkOr4SjTl+rr54j9ggBjwJ8vqUcn28pj+o5iIVMm7HL7ouCKkJiqLV8Aw4ckk16HKppREll4zEtJe4Mp/ROw52/G4R3fjyEQzWNaGAMeo5D/ywrrjyjF07pnapORZxAo5oKY3ju/3aiusEHDlBHKjg1sJBlhmqnDy+s2IXXrh4VVUCQk2JETor6Bl/XRflp2TYjsm2xvc9yhxs+WUEyr9OKRvKcf4sQqMEgUwBJUWBkalDlk5mWnPzrwTrtPBMDdZ8ykvznWcenaXhOnVZ6YcVuVDujC2xaMyAnCRlWA+pcInh/+KowpuUmBdhdItbuqcL5I/JwxRm9sey3clTa3RAZgwAOGclGjOufgUqHF19sKVNHYaTAaEzT6IwoKSiucISMzARGbBo8klbXyif5CzI1IynAg59sa/NxBcpC1TVLGVlRXBnVceluTqLVf4R0T63lGwCAQeBispS4s5zSOw0n90qN+QhCd7W70ol9NS51tZVOXSbP/MnBOh0HSWLYV+PC7konhuQmx7u7XSZ4Csio8ydi69X8HI+kQOD802OcGlAFT381eH146Zs92nJ8m6Dezt6jTrywYjfu/N2gVgMrxpgadMhKmBEVBh3P44KT8rCy+CiqGjyQGQMPIC3JiJG9UlBc3oAth+1hp5Za3KasTn0DgCgD0MZ7QikA3v3xEN798VDY6+0eCXuPtj3deLziAAg8hySjDlajDnqBg0HHQy/w2v/1/vwug46HQQi+jgtqw2tt9AKPqgYPXl+7t9X75jkgw0ojVYR0S63lGxj1XMi39UTFc1zCjaLFS3GZA5LMwHNqgnHoNhjqG7YkMxSXOcIGVZ0xxRUvsn8bEVFWkJakQ3aKCQdrXEg168CgBpwWow5eyQdRAXQ8B7coocHL4BHV4pNpFj2e+7/dqHeJMOl51Ll8IXWQGjwSHv58O3qkmkODnZCgp2OjpA1eFw7WumJ8VBKbf1FgqwKLbVLNegzMsWLv0UY4PSIUpgZCaUkG9M2w4FCtG3WNXoiKmqOl4zmkWPQQOHUaPfAeJ8qAV5TwlwuGwyDwaPCKnXbu7zhib7ONwgBZDh8MdwYKqgiJoQE5SeiVkYRdFQ7tQyiQg6MXeAg8h8G5tmNeSky6BvNPZ4X7HA++PNw2GLGa4pKVoOTd4OCi2fRRcBKvL+LoS8tApXm+TLjRH5+sRNxKxBEhCVhSGI46m0Zk3aKCb4qrtN+9UvgPOskrq5vkdlN6Qd1XLzCqohfUzX0NzUdldDycHgnby+z+6bwmHKdWPj9vRB4Ksqza3/z3h4M4XOsKmYLkAOh1HASOx6DcZDw1YwR+O1yPZ77ehYwkAzhO/XJX7fTAJbY85goDBDCM65+OXw7VQ5QVZCWboBM4NHol1DSoe+1Z9AIyrEb4ZBmVdi9kxmB3+dSVnzoeAqf2UccDLhHwSjJOaqNsxbF+6Vgf5R6Wy3dU4tS+6VHf7rGgoIqQGOI5tebL5oN1kJm6QidQoM8tqtMi7akJQ+IjMMXUJ8MSVXunR8TX2yq0oGR/dSPW7amGKCnQ63jwAFyygq2H6/HnMjv6ZybBbGhKCHZ6JXhFRVs+Hxw00X7WbRN4rmUAI/D+f3PaVFJgWqnBK+JAjQuNXrUMgsABqRYDTu2Tir4ZVlQ43Ph5fx1qnV44fbLWJlxwrReA3mnqeVLj8uGB84ZiVJ+0NoMFhTHc+t9N8ElqfUE+MKzEqYGO26eeL3POKtD+tsLuwT/W79XeWwL5fV6JQeBkjOmXDpNeQKrZqI2Y63UcGvwrByMx6His2VMNgQOyko1wiwqO1qs1uQKPudEnI5Up0POC9p4mKkCV0wce6vucQeBhNemiGo0P/tLhkRTwHIfcFBOuH98Xo/pEFwC5xegKezb6aPUfId2Swhh+OlAHk15d3STKChRFffMz63nwHI+fDtThD6f1pMAqDIUxiEGjI77mIyrhcmC0Jdis6d8h17Pw+TJBl4eucGr/FNPiDQciXudpPiIjM+wob+jI4Uk4As9Bz3PQ+UdhDToeSQYhYr6MR1Tw68E66AUeOoHTVjry/hIhEgMkScZlp/dBn0xzSDDUWp6N0I66V4EtVmSFITvZBL0/p8vhEfHrwXr0TLVgY2kNXD4ZFqMOjT4ZOl5dNac97kAQ5A9qRFn9t4HnUW734L6PtrY5Qrm70ol91ep0pMKakseD9gjGvuqmfL3Ae4vZIGij4MHvLQLPae8tgRHzHWX18IiR17jqBQ6ywiAp6urNHJtRKxSqMH8x6aCVpxV2D3JTTBB4Dt6g0TWBB8Bx8EgK3A0+DMxOanU0PvAc2N0iRJlB8o/o290i/vzpNlw3rh8uPb1Xm8/lsLyUqFYRntKra2pUARRUkQTT3XNQAqv/Mq1GGHRci5wqr8QScvVfcL6MR5Sxp7IRdS4vzHodclKMkBTWIhhpkesiNQVCocFNy2ml5tNQgbYSDctEJRBUBAcaTf/mtGAjUHjSotch3WqAUdesvX8kJ/DvI3VufFdSg2p/greO55CXasFFJ+fh5F6p0As8dlY48NEvR3C4phESQ7umNRXGcN9HW/0lD9SRjMBrhOc4+DwSBubacNkZnfOlo7UtVjKtBhxt8GHJjweh49XfXf4tTgLFywNkpv5owaCiwC0qyEo2YOlPakkVs38KUGEMpVVOvLhiN+47bwhO75sBACg56tRqU4XDoNaaKj3qxOl907Gz3IHDtS5kJZtg9L+3BDZUDry3HKl1odLuxbB8G/plmLHpQF3E2+egVn3neED0TyXqeA51jT5t/0I1kGzqo6zAX1oktN+BkbxAU4HnkGo2tCjyyhiDojAs/fkwHB4RHp+6TY/Aq6tqFYXBJzH869t9EHhgTP9MDM5NbhE0B8qGzDylB15etRsuX+RRuCSjgN+fnB/x+lijoIokjM5aZt2Vglf/ceBg0nMI7IIFAAYB2uq/wI7vIUuqW8mXCWkjhY7MNM9/EVuMvDQbmWl2H5HyZUh0eA6wGHQYnGuFyyejpMoJk07dIobjOPi/yPs/DBhcPhlWkw6NXhk2k06rSxX47LB7JPRKs+DeqYNh0vEhozJ6gWtzt4HAa+lInUsddeOATKsB007KxwUn5YUNWH49WIe3NuxXi9b6K+yLMkO53Y23vz+ArGR1BdXCNaXayj29wMEnKdhd0YCnvizGNWP7Rrx99Tg1lTwoq/dCUhTIsgIFauASvGVKcK2uwO0FjiHvr/+ljRYpUKuTu31wuCSkmfXIsBoxNC8ZfNCI2I4jDhypcyE9yQA9r65UDAQmJj2PJKOA8noP8lNNMOoEKAr8GwyHp/irmbt8slq5XsejwitDVhgafT4tn9Ig8HB4gKU/H8a0wnzwPIdkY3Qfv0kGARV2D7YcrodXUpCRxPsDIVnN2RTUBQIWPQ+nV4LEGJKNOnyzs/Vq42pRBqbW31IYOEB7/9AJvHrMeQZOacrd0gkc3GLLKWnZX7nVYhRgNgioavBh/Z5q/H5kfovAauthOw7VuiDJ6hOqDyqoyngGTlEgKgyL1u3FJ7+WtbkTxeCcZPx6KHLC+qBsK3TBlVI7GQVVJCE03/W8vcus2yOQL9NqABMUpLQckWlWXyboutpGHxq9Etw+Wct3YPBXfGZN///Lp9sgK4zyZaIQnC/TfFrJ4B+ZMQhBS6514aeJQkd1OAgCh5oGET5ZRorZgH6ZFvW6oFEfncDhiWXFKKlqgMsra7kkzWcHAwm6N44vAAA8/NlWmA06GMO8mXv8xRYlmSHLagzbhud5VDd44PEp6J0eXV5XQPBrSS9w8EgyfJKCOpeIl1fuwZe/leHmZtW62xrBUStuHwQHDi6fjCyrWnXf5ZNQ0+iFT1LQ4AVeW12CjaU1uPbMvhjdL0MrfgquaZXZ1BF5qLB78PKqPWo+EfyBh059Lr/aVo4JAzNx5sCsqB5vYEuoHWV2ODxqAVKe52Az6dEr3YKi4bkYPyATw/NtcEsyZEU99pUOF7xS00ISo46HRa8D49StfjiOg9kgtLl6TgEwLM+K80/qgRf+bydcPklbOSf4H5yaM6RgR5ld23ewst4T1eN798dD+Of6fXCLMho8IvZ41QKfwWMz5XYgzWKAQccj3WLAF7+Vo8EtgufQ6nuMrDAtkE8y6OD2Sf79C9VpQcaa7iVQni7c7am3wUFSmH+kC3hi2XZ8/OvhFgFRrcsHtyhDlGUIPK+da7J/6r+pSr56DFvbN9Lnk7HlcOsrALcctsPnk2EwtNx+qzNQUEW6TLh8GVFSd3b/x/p9sLtF2Mx6fxCjfovSCxxqG3148Zs9mDI8B1KLfJpwU0uR82UCgVDna/2tuKPLwrtS4PslC/pdr35KaFND/TOTkGE1hg1g1CmllgFPoG2LfBktmOl4vky0WhsVHZQTGrxfM6Y3nvqyGE6vDC5MQCX4p098koRNB+tw2ek90SsjSZvial7Vu8EjIsNqQE2Dz388m64LTIVxHAdRYahz+7C7whnVdDjn3xbl3Z/U4CjJIKDS4dWeKwEMkgzsrW7ES9/swSMXDsOYgkxwAHaUOVDmH8Ex6IQWFdozrBwO1LjAgUOm1QijXoDTK/lvX5260/HqiOeuigb89audETdPVhSG7/fVItmkR4pJ7+8fD5OBBxhQ4fDi9XV7MbYgs809AgP7D9Y2qh/UClMDKllmqGn0obbRh98O1+Of6/UYlp+CouG5kBUZR+q9LQIft6jAI3rVMgT+57g+iv1UOQAXj+qNCocHdS6pKSiQmb8+E6DjAIkxODwSqhu92FBSjfc3ha9p1VxZvRv5qWakWvRo8Eph3ztkBlQ3+tAv04Lh+Tas3V3V6ghbgKQAHNS9CuedMwCL1u2F7JUhR3iPbD5dqa485LUvqrLCoOPVaUWLQcDWw3bMf38zbjt3IK48ozd4//6h6hY+QTsGwJ9X1ey2BZ5DikmHaqcXC5bvwod900NGnV5dW9LmF1OFqe3m/25wG0cjNiioOgEE8mUiBiPhpohaTCuFz49pGrmJvIQ78O9o8mWc3vCrOQ7XufHvb/fH+MgkJi1AaZ4vE2ElU9PITOQRm+C/04cJeI7UefDC/+1UR1f0vLYn4ZE6t1bMkQHItZlh0vNgUKuJW4w6PHrRsG6V99beUdFTeqfhmrF98crKPQhe+R6YDuE5DoqiQGLA+j1HcdnpPdus6n3BSfl45/sDEGUGk55Ho09CrX/EJ/CBzgFYtLYUHp+sBn6CWt3+pgn9MXZAhjb9pU6VqcHP1sN2lNW5kZFkQIXDAwXq1JO2XQ/HICsKGrwS3tp4AOcMyQHPc3CJMiQFMOmEsM+lUeD9H+bqZsWMMRxt8EBS1P7KQR+HblECc7GImydvL3OgtMqJNIsBJn2z0QMOIXsEDs+3RdzEOrD/YINH3VtO/UDnAC50+yGOU1fS7ShzYFdFA+oDGx8DYLKajK3j1ZFGrxSoryUjxb/QJBrf763B6l1VLYIYBrW0hAx1dZyiMNQ6ffh08xH4orztZJMOJr2g5SM1F5TKhKMNXigKQ16KOeo9D/QCj7t+NwjD81PUFYVoOxgLPKM6/5JFKSjQU5i6YXKdS4RPVmD3MDyxbAe+3laBW88qwJj+GeiVbkGdf1Nrgee07Z+aP6ZKhzpFrCgMWw/X4w+LNuLeosFasL6hpCaqx7ihpAbzfxflATlGFFR1c0fq3Zi75Be4fRI8IuXLdBTvz3toXk+mefARuNzpEXGgNnRJdorFgFN7p6JvZhIq7B78fKAOdU4vZKgbvWbbTCganoMRPVJaVBAO3LaObztfpjNUODyQARj1vPahGjiftCRSWR1FAfiE33InkuimuVpuLHvBSXn4ems5dlY61ZVfPKdNbQUKVxp0POoafThS58HEQdlIMuqweMN+7K9uhMunfuAPy7Ph5kn9Ma5/JjYdqENxeQM4DqjSRpR4AGqyLgNwsNaFvBSTvz6Qgt2VTjz6xfaIo0C1Lh9EWe2PV1JanE+cP1q26AUtcCnsmYJ0fw6VT1Zg4ltOk3hlRct98flXaoXLrQHU5f2SLGFHmUO7/XB9NAjh81yMAg+7wvBtyVEsWL4TpVVOtTSAwIXk12wvc2BHmQNO//51QCDhWu1U4FHzHAdRUZCi06PS4Qnpsz8VCD5ZAe8PriwGNcG8wuFFNIOkDMDmQ/WtjoAzqEneAg80uEWUVjlhNao5dW3R+Y9TvVuMOCrD+6dX3T4ZX/xWjv5Z0dXB4wHcMXkgrh/fH7Pe/BEKAzKSdKhujFyCgIN6rsv+3KfmReaZf2pbhHrO63lAVhRsK7Nr03h3TxmEG/7zM7yiAnAKmBI6Ig74E/X97z+8oI6q7T3aGDIVqItyFDvadrFAQVU3pygMmw/Vx7sbHSbwHHS8muzKBxJQA9+84Z/SgPoN7aSeqWqCafDoS9gRm/AjOmFzcvzXx2pJ9uZD9ThnSDYuPrVnt1rJGK4SfKNPhKIAgsDAGBey7QiQ+FvuhNNib8ZAzg/U/6eY9Thc60KF3YsRPWxaUrTAczj/pDzsXrFHnbYAtCkMRQEEnkduikldLcaptX6mjsjDlGG5EUda5kwqwAMf/4Yj9W4oirraClA/PKDmCIPj1GXmgVGdXJv6YR9pFCgQHHlEWZteCWyGHKhcDjCY9AIavBJq/XsBDs+3oSDbiuLyBuTa+JBAjDF1qxa1YjyHnRUNSDLwrX5Zk/3L42uc3hbXRRPAKQrDfzYegCgrMOsF6AT1WBeXO7QP1S2H61Hvr8geSSAPiCF030OB51r0X2FAZpIejOPwx7F9saG0GsXljsg3HqS20QubSRexEGoAD84fLDCYDdElTwcCgsCoWfBIko7ntC89gSm4I/UupFv9r+c2vlCnWvSYMDBLGz0EY60GVIHXgqQoiDSmFcghDYyQMg5QZCDFpIPTK2Ph2lK8de0ZuOt3g/D8it0hwWggv45BDfh0/kBeYQDPMWRZDbB7JO38751hxsZ9bR/D3hnmthvFCAVV3Zy2A3w7tZhealZPRh8mGAkZyQmXCBySENysCF/QiE/zfJnmy6yb56BUO33on2XFXy8ujHtQ0t6Rju4yghOuEryiqF9CFRng/R/ERn3T8U+ELXd4rulDReA5bSpMDdA5bcl44N+lRxuhMHVFFc+3HBXU8RwafTJkxpBqCX1cZw/OwVsbDsDlkyEpCiT/1JFJLyAr2eiv2aQgPejveJ5rMVITMG5AJm6cWIAnlu0A4xhkRZ2eMwi8fwWW2jevpMAjKjAbBHU7kaDpsea3HQiOth62g+PUqX/Zvzgi8PEncIBHkqH357cE+jlnUgEe/GQrKhxedSWbwMMrK6h3ibAaBdx61gAAwIOfbEV1Q8tgCQgdZZAUNa+pubYDOB9kxtDoFSEranAWvIpOlBW8tkad9mMAeAFgcsuP98CKtcBnvyQr4HlOHXFVQkezAn9b0+hDqsWA8QMycfPE/li8YR8eX1Yc9rEGk2QGvZlvdeqMg3qcbWZ11SRjaDORnAP8o5fqNF3z6wLnPKAmenMAeqRakGrWI3J1qia90tUcrPUl1XB6JTS0ERQC0BbY8Jy676PCWuaIBge6TTtKCEgx8ygud+DtjQcwpn8m3rgmGS+s2IODNY1weNTn2yDwEP1TuRzUPEFJYTDrefU1wHPa+Z+XGl2wFG27WKCgqptLMevxt8tHavlM4bZCCARDwQFPPKaYIon1zvKdqcVIR5DmU2IDcpISZqRKlhlW7apCpcODHJsJ5wzOhhCUJB2uErwQVPBQAWAxCE1Ln4M2yD2WLXciBUWCPyji/UGR9ntQgNRWEnM4uTYTDDr1TdsUZvrJKyshwUaw4fk2DMu3objcgRSTKWyC9dC8ZAzPt0Xdn17pFthMeiSbdGptIJ6HpCg4XOfWCi8yBv/IgDqqE5geq3W1DFgCwdEDH/+GBn9Q0hyDWsRxeL4tpK/jBmTiqRmFWLi2FKVVTtj9CfxD85JDVnA9NaMQf/lkK5w1ofvoBQKY4A9Uu6dlondoAOeBWS9oK2XdoqwGlZKk1R4SePUcYP4pTa8EbD1ih55Xc8A8kqwFM+ECK4UxtWaXyKA0a6EFXn5q/SmGobnJ4HkOTk90FbtlAF5RHW2XIwydBQLwjCQDCrKt2FFmj+q2AxtWp5r1KLd7mgJCrqnvClOD/BSLHheelIetZfawz31zM0/tAZ5X9/1zi3LbYVhQcnlgVoEHEMhi0/HqCsCm50INYE16ARJTcNThhVuU8cI3u5FkEFCQbcXdUwYhxWzAtyXV+M/G/XB5JYheyf+41OBc4DhkJZvAcVzI+c+F2x8qjGjbxQIFVd2cUSfg9yN7oMbphT2KlSqJ6pTeabjzd4O0FVkNTB0F6Z9l7fQ6Ve2ZpguuQxVOYEps08Fa/OPbvQlRc2vpT4ew5MeDaPRIUDOigFdWl+CqM3prVYvDVoJv9k26wSshxaKH2CzYFXjeH+Q0C5K0f3P+gKnp+sD/u1o001yRAqPgYMDukbTRHI/YNJozZ1JBu4K9wFSYwHNI0qtvx25f0/YjAPyJ1E0BYGuBH6AGR/9vRiFu+e+msAs/FAZE6uG4AZkY0z8j4pRloM014/risS92hPwt0/7j7zeA4HWEisKw9Ygdmw/Wg3HAWYOz8OmvZShrdGvBTbJZj3OHZOLjX4+AMQa9rmnJPccBnACIkoJGr4Qkgw5ZyUaU29WE+XARAQd1yjrJIMATYZuW4D9TV64BxRUN/lHA6JLJ00w6NHjlVrO81VEnDhlWI+ZMKsBdH2yBwtp+zz5i96grLgUeqWa9NvqnTpOpQYskqwnfc88qgE7Ht1lmIICFORPaSlTX+Uf7AASN1qoLGYLjScUfXPEcB6tRh7I6D2RFzV3LSDJo5RL+8uk2PDWjEHPOKsDJPVOwYPkubD1cD0lRR8PMeh5ZySZY/XW9gs9/U5RTqNG2iwUKqkjCOKV3Gk7uldqlozvtLTganHsU+AYZzCczMAX49NcjkBTW6TW32rL0p0Mhe4UJ/g/rBo+Ef6zfCwC49PRe2ghcVrLRP1KgQPIvxZcVhqMN6sq0GqcXZr2AYXk23DKpAOMHZibUqCegvplHCgqimeZqLTCKdjQn2j6FC/JMBh5GnQC3TwI4wKwXYPJP87cV+AWkmA0w6gS4/PvWBVPzwYCyek/YKcTWpiwDTu2dBqOO1+oKBd8Fh6al9iN7pwJQSx88/VUxdlc6tU3Gmb8fGUlGWAxqMO/yyVi5swqyzCAEFYVsum11hFJWmFbbqkeaGUcbPHCLcovRGYOOR67NiEqHt9nttAwceA7ITzHDLSlBo4DRfRiP7p+JH/fXRPxiq+fVXLnAKJhOx+OaMb3x7PLdYQOYQG4Rx3HITzGh3iXCrjAYdTz6ZVpQ1eBVV4X6yzakWPSYe1YBbpyo1kkL5NG1JVAZvd4twqgTIMpSq3+nQA18GVNHrtWcWHW0ttEr42iDRwvkFcZgNuj8aRFe/yIXdRpQYQw845BjM6DS4dNypMYNyMSHfdPxh0UbsfdoI7KsBm3aO9Df4PP/+f/bGcWjBDaW1uDmSQOianusKKgiCaUr85A6UnA0kHvUWg0i2V8dMivZGPXqslgJJFbzHAemMLzz40HITK3kzgeSzDmA5xT4ZODdnw5i/uRBOFTnBgOHJIMOPM/B2Gype7JRhzKHBzeM74dJg7JbjF4kikAhyEgrxoCOB0YB0YzmtKdP4YK8FLMeLrVYG2z+DzGPJEc9Ilbj9MLhEcFBHUUILFlXP6jV0R6HJ3wieTQKe6RgUI4V2444wk65AcCgHCsKe6RgQ0k15i/djKMNXm20JpCDozA1gdxqssBm1CPFzHCo1uVfLccgcKzFaKLC1FGZ/FQTqhp8yLUZkZSRhFqXDzVOLySZabXEGGOoaVRLLhgFHpJ/F4NwgUNOsgkGvQBJYdoo4IgetjZHbjgA5xfmYmTvVDz6+fawpWNEpakmVmAULC/F4p9CU1+bgc20A1PhsqIu0Ll+fH8MykkOOdcUheGL38pxpN6FHqkWXHhSXkj9JptJ30qPmwTapVvULYzaOh04ADeM74fvSmv8XwSM2vNjNepgMVhwoMYFn6TmAGYlG6Eo6kpipgCMU1daBqa3jToBKebQHEGdjse9RYO1EWGO5yJ+8YkmBwxA1O1igYIqckLq6NL6tvK/9LyaWJliNoT9lt2eMgTaVBnvzyHyf3MVAr/zCJlKa55n9MkvR9DolfzTS6HfuAVOgB4KnB4JX26rwIBsa6srsnwKg0UvYNKg7DZHMeIlUAjS6ZXU6tL+hO9wFZnbGxgBrY+AHWufwgV5gZGoGqcPVU5vuwK/OpeoVRbnoE7HBp+OPM9BURjqXB1LGeB5DhednI8dZY4WxVABddTnIv9+a6+tKUVtoy+oUCQQHKZICkOVw4OkrCRwnJrI3eCVwHPwJyw3jSxJCgPPcbCZdLhydB/8c/1eVDi8MOg4VDd4tXwjPc8hK9morcY063XISjag0Seh2unTRu8CI0KAWlup+ShgVrKag+dtpVyCQadOTwkCD4tBLYoaNvncvzovMAqWZtFrhUoVrmn0joMaUIIBgsAhI8kQdjRxxqk9IvYpNSm6oCrQbmhucsRcsGBJBh7fldbg5on98ZdPt4Ud7c20GnHV6N5Yt6capVVObeGHtqJPW60IeEQZXlHduDo4RzDaLz5JUU7rRdsuFiioIiek9iScNw9+Wsv/OrV3Gj7cdCikUnbQDcMo8HAywCvLSDHrI+YcxaJe1ZF6FxSo1ZzD4Tk1wfZIvQu/H5nf4VyjRBAoBOn0Ssi1mbT+m/jIZQiimeYK2FBSjdfWlGBnRQNEiUGv4zAkNxm3njWg1Sm/aPsUKcgD0O5ADlA/LHn/ylrGwo/28DwX8cO3rQBSURjW7amG1aSDJLMW273oBA7r9lTjtL7p2FZmV0ed+MAUTlPwEPgY90oyPD51dCPZpPOvpOTB+Uc2Ardt0vEQeB7D8lNw5Rm90T8zCa+tKcGP++ogygwCD5j0aq6V1ahDOmPYX9OIRp8Md60Uchx4qEEL/B/4do+EVLM+ZBRwcLa1zTp/ssIwONuK4soGeEQFHACjwGlJ1oG/lv3T7gdrGgFkIcNqhFkvwCGrI5LBcW/gLq16ARlWYxvPdksOl9TmykKeU9sB6uiZwDUlmkdqn5ZkRGmVEylmQ5tBz/Xj+2N7mQOb9tfi/31VDFlhMETIkfOIMlLNoediNF98UszRBY/RtosFCqrICSnahPNwNZg4jsNpfdNxet907KlywuGRkGExYGheMnZXOvHFliNQmPrh4i+FpP2dW5Rh0vHon2nt0Jtle/RItYAHtITz5gIJyz1SLcecaxRvwVW6mwejbZUhaEtg+qq2Magmkg/4YV8t9lRtxouXjgwbWLW3T5GCvI6MDGYmGbW6Sa2N9mQmtTwHo5lCDTy27GQTjHoeHl/QxsQGNXl/R5kDdy/dArtLLX0QKGUg8M2/xgRWeakrHH2ymoto0Km5fWlJBgj+VXVun4xkk047F8cNyESSUYcb3voZeoGDxaCDydD0wd3ok9WaXVCDOZ0ACOC1vC7F/2MQeIzIT8GtZ4WOAv5vW0XYKubBJIXhxVV7MHV4rjbqpTCGcHnxDOrIXUGWFWf0TddeT1zQ9YHgikEN/IfmJrd6/+GkWdQvbEq4YUQ/geeQZlGDjVqXDzzHIz3JgKqGlvlnOl5Nauf8o4e1Lh8mDcpqNegJnM8KY+ACZXKDaqapx8q/RjBCN9v64nOg1h3V8Yi2XSxQUEVOSIGEc8mf/Ak0TQNwAESJwSjw6JuRhLwUc8Sl/L0zQssJZFiNGJiTjOLyBrUEQRxHfC48KQ+PLdsOu0sEzylNOVVouQQbOPZco3iKtkp3uDIErVEUhqe/KlbzgTh1FV5TcKLgaIMXT39VjM/mjm8RcHZWn6Khln9IwZZDdsiKEnG0p/l5GO10ZfBj46BuPBwo+QCohSrrXT54REkrM8BBDWCYzFqUXuD9xzbwGhmWb8PNE/vj9bWl6uigP7gbmtdydDCwP1+axRDyHDCoCywYUxdocBynjWYJHNQthxhDttUYsjddsCP1LjAO0HNqonmkEOXdHw7C5t9OpkFSIEYKEgC4vGrxyiSjDgKn1gxUmBroBqKqwO+hKxGjFxgFE+XIuUTmoFGw4FWoOt5fgBlNRZgDpSkYQ4v6Zm31rd4twqwX0Ohj8ErNlzWoo2NmgxDVPovNGcJsRn4s7WKBgirSbQUnZfN86D5oWgDUbKl/oGp7n3QLlvxoQ3F5A6xGXYvgp8EjYWheMk4P+jYZjUQa8dHpeMw9qwDPfL0LPolBJyjalEDzJdgBHck1SgRRbbPSShmCSLYesWNXhVPNB+KD9tDz/y7KCnZVOLH1iB0n90rtkj4BbU/PBZ+HDR6p1dGe4NuMdroy+LEZ+WYjVXoeVQ4vGIAcmwmVDi8afXLIlF/zs8kg8ADHUOHwaq8R+I805/8rLmSCrO3j7PGpm7UHHqPNpEe9PxjUHjMDzj8pD1eP6RP2OAdGe7WiYRFICsPy7ZXQ8a0XYeB4NWestMqJXw/Vg+d45KeYUdPoVadQ/Y/QrBeQkWSES5Q7FHQH6mwFH63mxz14FCywCnVHmQNGnQCPpEDPN+1oIcvql0+3KGNonq1dXwrTLQbohEA1/5YY1JHUjrwOxvVLx88H6qNq11UoqDpBJPqWKRwXmnwdSLwOTtQOTsoOJG0fi84KfhJpxCewxPrVNaVocIuQgbBLsIO1J9coURxL/anW/HqoXg0WwhTM5TgOgsBBkhX8eqi+RVDVWX1qbXqueUD85PQRWLRuL0qrnPAqahA3LN8W9jxsbbpSTfbmsaPMgc82l+HCk/JQkG3Fb4frIfk3WQ+MhAkcB6+kbi9jMeiQbeNwqNYVkl8U2OonUFZBrxPg8sraawRA2BGznRUtFx1EOs6BjXjBqdXIHW5R/TevjggxTi2K++XWcvxuaE7Y12XwaK8WlHBNjwFQR72ykw2oqHehoY1ioQpjSDbqcLTRB45BK9DcNyMJHjE0MPVICvSy0qFgQ82RaqoFFzzi1NRvThsFCw7CRZmB5xSIiuLfLFzNydMJar2p9r4vqknwaiFhgwBwHB+0hZICUVbzzToyzZmXFmVF9SjbxQIFVd1c4Bvr/ppG6Hk+bLDU3lpMsaCtSAv+8Y8ohaxeCyoQ2dU6M/hJpBGfGycW4Npx/bQl2HkpZhRkJsHulbD1sL1bjES1pbNGCDktCkD4ipkstF3zEaTWVklZjQJunti/XedIa9Nz85duRnayETVOX0iwdfPE/kgxG9q8j0jTlU6vhKMNXnhEdVXbE8u24+NfD6N3mhkbS2sg+/ctFHhoGzkzAFaTOgJsNerQK92CcrsbXrGpprmO5zA4NxmXn9EbvdItIcn5s978MepFB5Ge+0DphEABUgWho42yooBx6uNbsHwXPuybHjJqCzSN9v71q52QWcsCp4C6QtCs16HW6YOvjTLmjAHVjT4oCoPVpEP/rCTsrHAiJ9nQrF30QXe4UUs1R4pDjzQzapw+eCW1XplaqFNAhtUAl0+OuOJuR5kdDo+krSC1mfQRg/G2BAd4in8qlvdXyFcY55+O5To0zbluT03U7a4Y3bddt91RFFR1Y8HfWL2SAoFDi2CpI7WYggWPIDWfQguMIvFcYgRJHdGZwU8ijfjodDxmnNojqiTk7qozguSRvVOhF3j/vnGBKShVoJq1XlCLXEY6tsHLy4P7NHFgpjaKFM1z0dr0nNWo4GCtC7WNPvRJt8CoE7RgK1CxetKgrFYfa7hpNKdXwpE6t5pszHEQACQZdSgud+Cn/bUwCBw4nRrYqXsXqnWxPKJariM7mWmB1YAsK9w+GXaPCJ+k4JELh2PGKT1avNa2HraHjJgxsJDpxVSLrsWig0jPvc2shyipOWXBK2olRdEKZ3pEBVsP1+MPizbi3qLBLY79jRMLUGb3YPF3+0PiKYFTA6qsZCPcoqxteNyWqgYv9AKH55bvRGayEbKiYHeVMyTHjOOA9CRDm18EIp1zRcNztX1c+2ZYUO9Wa3Xp/VXZ1em9lqNgwe+H1Y1e1DeKSLPokZaktqt3i+3+ItY8wPOIkvpYOcAgCMhKNsAtKh2a5oyuxGn07WKBgqpuqvk31mQj4JGUkGDp5F6pLWsxcYCJ52HU8Tjq9GHpz4cxcWAW9DoevH8pf6S6R8erRAp+OlN76jh1V7EOkgNFLreXOSBKCnQCr9XYkWR11GVQjhUNHhF/+XRb2GN7qNaFJ6ePCBktsrt9EdtHei4iTc8FNh1vukR93bZWTiKc5tNo4ICjDV5/sU01UdusVwuTGgQetY0+mHQC+mZY4JWYFvQY9Rz2HnXBI8lw+9QaRID6Bc1sEGD3SDi5V2rYgAoIHTELjJJ5JTlkU2WdwLf4EA733NvdPty1dIu/zlfTlJ/oX9Gn5mGqI2z7jjojHvuHpg3D7goHthx2wKIXYNDxSDHrwAcl15sMAhojbIUTjIO6OjPJJOBgrQtOj6StEm5aFdf2+dra6/lgTSMyrAYcrHW1mJ6ta/RBJ3A4qWdqxO2Ygt8PN5RU49nlO9tVTiRYIFg3CDwykw2otKv9AQss9vDBYuA7NM05OCcZX2+rjKpdV+m6lHgSM82/sZr0AgRB3cE7O9kIt0/BB5sOo8rhxZE6F9KTDDDo1DcCY+D//iHgQ7Uu/5C5ATaTXl2SrBegF/gTIqA6UYQ7Z3ieg0kvINdmhNMrY+Ha0jaXj3cHgQ+FSYOytHyRY7mtB84biqxko397FAWipKh7mPEcspONuG/qECxat7fVY7to3V4Mz7dh0qAsDM+3tdk+3HMRaXoukJAt8FzQ5suq5qUb2nqscyYVwGoUUOHwwu4S4RElcP6Vb8Gb2gZW84myAq/E/PWl9DAbBPAcj2ybERyAo04f3KIMRWFwi3JIInqgAOnWw3as3X0UWw/bofirmesFDvVuEUfq3PCIMnh/Tg/PcfCIMpxeCYdqXWEfQ/BzP35gFm47dyAMglqxXJQULaAC1FweUWZQGGAxChGPPc9zmHv2QGRaDVAAmAwCAC7kMQ2J8oObAahu9KLC7oFXVKflTDoBOTYTMpONyE0xY1C2FbKCiK/Jtl7PjT4FTq+ERq+sFkCFukE6ALh8Mhq9MiYOzIyqeO38pZvxw75a1LtENPok1LtE/LCvFvOXbsaGkuo2H28gWK90eFFW59ZGDfWCuqjII8po9Mmwu9s/UjUiyi/D0baLBQqquqFw31gFnoNe4GHQCUi3GnCwxoU9lU7IivqCVVfFhb6AjAKv1Rwhx7f21Exqr3AfjMeTcQMy8eKlIzG6XwbSLEZYTXqkWYwY3S8DL1w6EilmA0qrnEi16OERFTR4RLh9MhhY2GPb0ecieHoOUPNu3D4ZDR7Rv3kta7H5MtC+13lgGm1oXnLTvoFMHaHqkWbWNrXV+QtzKvj/7Z15VFRXtod/99ZcxSQIAg44AmqcFUWTOIu2K0vTvjYxiY1Gs2xaTcis6/li2xnMqBnaRFf7AnYn6TzTaU0nGoc2golDpBUi4ox2HJgcmKHm/f64VRcKCqjCYsz+1sJl3Tr31Nln31t31z777O1qxDlRKUQE6dXoG2pAlcmKogoTqkzSjlqnJ+jIpVtITDmOZX/9N57b/hOW/fXfSEw5jtJqM/qG+qGoXCrA6zSm5EqADu/SntP5Hl1rj8T1wpjewfDTqhCgq1mcqbuX8HaFBRql2OB9MK5vCJbe1xfdAjQorbKgqNxVpkERnm04UDhCKarNdhitks6qzDYUlBpxs9yEgtJq/Od2VaNjaeoaCtQpcaPYCI1SyvIOQK6LqFdLGwgOXbzV6PzVTifiLA2kFJ2xUSSnE2lKB6IoYNn9fWG2SbUKpfQWjjQNdim2TqMUseXQZa+/O0orPUvD4Gk7X8DLfx0QT/PfkIAW29LNdCxaKmdSZ47Rqk1jy4rpF246fmlbXJZZNEqp9plepXCZW091cbvChOzrpfLnDQz3l5fn/DR23KqQtuHb7ZLHxWYDtCpBLr7sxNv73CnrV1l5ePmbHBg0SgTqVC4Pb61ahEqhkDxkdR7qtXNNpSSOwdmC8npz1tjS1ZqdpzE5NgxHL9929Ac4o2KsdoJCkJaRLt+s9CiZqygK+P2kflj9j1O4XuKaBNK5/0Dl8GSVVJmhVyvr3Qe1r3Oz1Q4IQHiAFg/H9ZLzW50vLPdofkXBGWIhLUU67Qhnpgc7AVazDUZLNfy0Krf3ZFPXkNNj2dVPi2CD2u3OwqaS4d5NOpG6BOrUMKiVEGCD1S7lyHMGzYf6a6AQhWYl5z1X4NmPQE/b+YJ27an6wx/+ICUhq/UXGxsrv280GrF8+XKEhITAz88P8+bNQ2Gh6/rq1atXMXv2bOj1eoSFheH555+H1eqaEC0tLQ0jR46ERqNB//79kZqaWm8smzZtQu/evaHVajF27FgcP368RWT2hLq/WOvi/BId0TMI/cL8UFxlkauRO3F+8fUL82u3pUcY3+HpNeONge18MJ7NL4NBo0SYv8YRxCzFBXmyNNCRaGhZ8dqdKlSYrG6XqW4UV6Ok2uIyt57owm4nvHvgoosXZ/G2DNw/oCsUInD1ThWqzTZH8d2ac602QqW5Zlt/c+9zURQwZ3gkBncPRHUDqcHVSikdQEm1pcElPqVSrDdnnixFZ1y5Az9HKIKdCFa7VFrH6THrolN75WUf378rnri/X72d0VI6B1HeoWyySnNX+z5wXudn8kqhEAUYNEroVArklxqx9fvLOOYw/kb26uK+PFXduXUaJ000tZGUKLRu+Rbn+Bq7hqotkhxalUKOZXMuzwqC4JH30plORNFYOhG7lE6kKZzB6n266hEVbECPLjpEBRvQu6sefhpls1dNrrtZAr6bdr6gXRtVADB48GDk5+fLfz/88IP83tNPP42vv/4aX3zxBdLT05GXl4df//rX8vs2mw2zZ8+G2WzGkSNHsG3bNqSmpuKll16S21y5cgWzZ8/G5MmTkZWVheTkZCxduhR79+6V2/zf//0fnnnmGaxduxYnT57EsGHDkJCQgKKiotaZhDo416ibMpaGdA90iZFoLLaB6dx4es14+uD9JcVoNYbdTthzOl8qAyQ4l5QE2biy2e0oKjeib2jN3LrThXMpr6zagoLSalSYLLh2p7KesfrJsZ+hVyscO2yl5ROCtDynEKQ6dAWlRths9ru+z+vGWNX9/uiiV+PZ6dEYFBnQ4BKfOzxZ/iwoM0KtFBERqHV9CIcY4KdRNutHQM9gPQK1KmiV0jKiQoRkAMstCDY7EBagkXXlvM7vVJphtNhRUGbEjZJqFJQZYbTYcKfSIl/nQ7oHIjbcv8kQc6fIHtQvhsVhTNalqfu52mxzxMW679eT+XNJJ+IOx/H8kuoml/6dRqDF5hp/59xN29xVk5t1SurcbTtf0O6NKqVSifDwcPmva1fpRi0tLcX//u//YsOGDZgyZQpGjRqFlJQUHDlyBMeOHQMA7Nu3D2fOnMEnn3yC4cOHY9asWXj55ZexadMmmM2SRbx582b06dMH77zzDgYOHIgVK1bgv/7rv7Bx40Z5DBs2bMATTzyBxYsXY9CgQdi8eTP0ej0+/vjj1p8QNP1lV/tL1CVGwosvPqZz4c014wnNjQvqbPFXOXlluHyzEmH+GigEUX4IkqOkByAt58y8J9ylJlptXdyuNOHKrUr853YlrhZXocJkg9VO8Neq6hmrpdVW5JUYERWsR+8QP9nY6Bfmh14hBmhVCpitNuSVGX1ynzf1/fHE/f2wbXEctiwcjbd/MwxbFo7GtsVxjX6eJ8ufgGTclFRboVWJLl6W5nrfgvVqOCLPHEuJgNlKMFvtsNqkJSlRFLCgVrmanLwynMkrRbXFJnt/nFe7dMyKM3mlyMkrkzc1hAVopJIvQv09fI76zSAi2NzEornDnSeo8fvZCJ1KMkhvVZhhJ9fP8XT+nOlEbI54PZc+QLDapKNfnrjmEhPnzkPt6x91Mp6m7mnFFD/tPqbq4sWLiIyMhFarRXx8PNavX49evXrhxIkTsFgsmDZtmtw2NjYWvXr1wtGjRzFu3DgcPXoUQ4YMQbdu3eQ2CQkJSEpKQk5ODkaMGIGjR4+69OFsk5ycDAAwm804ceIEVq9eLb8viiKmTZuGo0ePNjp2k8kEk6nGQi4r8926rjc5edpTIkqm7fBlHqfmxGh1xvgr5zyE+WugVipws9woJb+slWhRqRDRM1jvcp5TF+u/PYsz+eWw26W0BRpHbBEIyCsxonsXQQ4Ody7jlBktsBNg0LjW2/PTKNGnqx75pUYsubcPJkaH+eQ+b+r7w9uUJJ6U71ErRCyI64Wt31/2WTLX0mozKs02mK3S7jNnclA7IM//oAh/PBLXSz7nVqUJZUYrbHYp86fTkHAGudvshDKjFbcqTfJcbZw/HJsOXkJOfhnMFhvMjvihYIMalSarfH14+nuisMTo9ri7+9luJ9gcRn2V2Y4KsxUXCqXC10E6lVfz11g6EYvVDjskIzFIr3bJi+YuLUVLJef113pmwnjazhe0a6Nq7NixSE1NRUxMDPLz87Fu3Trcd999OH36NAoKCqBWqxEUFORyTrdu3VBQUAAAKCgocDGonO8732usTVlZGaqrq1FcXAybzea2zblz5xod//r167Fu3Tqv5fYUb4ylX0ouJqZxfGVge1vXrrPmyKo9D34aJQzqmnIjCkGQczXdqTDL2amdxPUOhkKQ8vdotaJUYFcUcKO42pEXinCz3AiD2iB7A3Uqaa6NFhsMmvpf32YbQadSYGJ0mE/v9+Z+f7jL9u1p+Z5H4nqhb1eDT34E2O2ELYcuQ6MUYXMYRmql6NiBJiUuVYkiXpwZ66KjkkqLFExepz/HpkjpHxuhpNIiy/rT9RJUmqyOYskKKBVSXiajxYZuAVoQSV6u4ippSRFwU1pQqFke7BaocdmwUPt+rX0//3DpJv5y9GeYrTYEGzRQK0SUVJtRVG5CQZkRFSYrDGqFx/Pn9Lw9vT0LdyrNUgZ6qtm5JwhAjyAdAAGVZiuUoohu/moUlpvd5kVrieS8E/qHIO1C07GbE/qHeN13c2nXRtWsWbPk/w8dOhRjx45FVFQUtm/fDp2u9Wr5NJfVq1fjmWeekV+XlZWhZ8+ePv0MNpYYb/HFNeNNXTtvCvV2NO+pu3nQqRWoMBEKyoyotkj5o97aew7/yLwuPzyOXLqFl746jUs3KwFID9mSKov8oAcEKEWp5IvRYofOsS3emTKhymJDsCPLuZOGSps0VHy5qaLMd0tjnklPvRa++hHgXK4O89fCaqA6CUWlHZN6tQKBOteYnkCd0tXWqfWxTqOHAOSVVCEx5TjO5JWhpMoMgpTKJtRfA7VSRGGZ9HklVRaIogCVKCC2mz+y88okjxnVqitIterziQL+mZWPrd9fadC7K4oCBkcG4M2952Cx2RERqJOvi2CDBoFaJa4WGxGkU+HJqQMwZ1hkvXI8tal7Xbzzm2HYnH4Z5wvKYbbZpRQQJisCtErcrjS7eGY1SlEuGO1uJ5+vV02C9BqftvMF7dqoqktQUBCio6Nx6dIlTJ8+HWazGSUlJS7eqsLCQoSHhwMAwsPD6+3Sc+4OrN2m7o7BwsJCBAQEQKfTQaFQQKFQuG3j7KMhNBoNNJrWUybDtBbeuPPrlh2pTd34q472A8HdPFisduSVVsNqk3L7RAbpoFaIslfu0bG9sPWHKygqqwkNcDoqTFa7lFSTAJWiZms8oAARobTaiphwP5QZrR4tozRk2Nw/oKtcOqc5dQKbwhPPpKdeC1/8CKi9XK1VCTBoFC6lb9RKATcrzPV2n5VWW+UlLwA1ORjqLN2lHPkPAMiJNpUKASabHfmlRnTvokOvYB3yS43oGaxH8tQBCPHTYGC4Px786DBO3yhz9Xw5ECAtr10rrpQ9Tw15dxuKcZQy0hthtNhxrbgKr397DjuzbjToGTpy6RY+TMuVDSi1QkRMuD9+N7HmurhyqxIb9p6XlkUJjvI/0tCrLXaYrSbo3KSlcOJLR0CZhwlDPW3nCzqUUVVRUYHc3FwsXLgQo0aNgkqlwoEDBzBv3jwAwPnz53H16lXEx8cDAOLj4/Hqq6+iqKgIYWFhAID9+/cjICAAgwYNktvs3r3b5XP2798v96FWqzFq1CgcOHAAc+fOBSC5iw8cOIAVK1a0htgM0y7x1J3fUjmy2gu15+FSYTluVZphsxP0agXCArRyTFR4gIj8UiM2HcxFpdnq+mwWpN1WNQ9XgsVWk9PI6cny0yiwetZAAGhy3hsybH66Voqjubdh0CgQ5q+Vj5+6XoKlf/k3DI6s6M2NefPUM7ltcVyrxXrWXa4WIDi8f5IHsNpic7v7rIteBYUoSPkN5CBzyeARaxlbZqsdoX4alFZboFSIkt5EqRzOzXIjDCEGdDGoUVRmRIifRjYqXJfXSPb4KERpX5xWpXDxPDXk3XV3jznrNlrtdmkXoF0KMD+TV+Z2yd2ZPf1OpVneaCEIwI9XzLhYVI6N84djYnSoXDvQWffSNX+VlGW/2mxzmwrC15zO8yw3mKftfEG7Nqqee+45PPDAA4iKikJeXh7Wrl0LhUKBBQsWIDAwEEuWLMEzzzyD4OBgBAQEYOXKlYiPj8e4ceMAADNmzMCgQYOwcOFCvPnmmygoKMCaNWuwfPly2YP0u9/9Dn/605/wwgsv4PHHH8d3332H7du3Y9euXfI4nnnmGSQmJmL06NGIi4vDu+++i8rKSixevLhN5oVh2gueuPO9jb/qiNROmPnKrjPSUpJe5VKA2bk0mFdSDQGSN0PKv1RT881pWEkPbcmgKjNaoFaI9Yymxua9IcNGI4iw2aUHotVG0KhECBBgtRCqHLsORQjoHaKFxU7NinnzZmfokB6BreKd9Ga5ujYhfhoEaFUorZYycgtijaNKKgos6S9Qp3IEiEttnLLWXsLVKOv/eBjfvyuW3tsHmw7mosxYk/Vbq5TG2K2W7py4m8O69xiRZMxZHTk3HOm3UFIlZY232MjFKKudPV26Nl1rXDqzp3+1/F7HGJyDqTPRAlzfb2F0Ks8SGHjazhe0a6Pq+vXrWLBgAW7fvo3Q0FDce++9OHbsGEJDpWrrGzduhCiKmDdvHkwmExISEvDhhx/K5ysUCnzzzTdISkpCfHw8DAYDEhMT8cc//lFu06dPH+zatQtPP/003nvvPfTo0QNbt25FQkKC3Oahhx7CzZs38dJLL6GgoADDhw/Hnj176gWvM8wvkabc+c19oHU0RFFAsJ8aoiAgQOtqUDlRCILs3RBFAUoIsDgKM9feaU4AQgxqrJw6AD2D9W6N1cbmvSHDxmixS7XXHA9go9kOrVrEzXITCIBKKcBit0sB7+rmxby1R89kc3efDY4MwKDIAJy6XiIXJrbXih8CALPNDn+NUt7lV1MUuaZIstVuB2yo9+PhyKVb+PTHq1CIQPcgHURBcGR2t6DSZJWMJFX9HyJ157DuPWa0SHnKau8wFACIImC02iEKdjkVxJAegci+UYoLhY7s6UpRvnYFR3JUi9WOC4VS9vSSagu0KgWqHIa5QoQst81OEAUpBUhJdcuXhgkL0Pq0nS9o10bV559/3uj7Wq0WmzZtwqZNmxpsExUVVW95ry6TJk1CZmZmo21WrFjBy30M0wxaajt1e6Qpr5yNpAev82GrEAUAIqyOnVXOZ6BSIWDl1AF4bFxUs8bRkGHj/ByFKNWCs9rtMJohF2QWAFiJ5Diu5sS8tVfPZHN2n9W+ditMVgSr1LIBUW2xQa0QYbLaYLETtGqpYL3RYoOgkJLAOnfJKQSh3o+H2t7E2kt8AKBWiLhy24qiMhP8tcp6BnrdOax7jynFmlp/AGRjSSEvS9pdUkFkXS2BxVHouO5nCZCyzVtsdmRdLcHIqC4wqBXw0yhRWm2RAv7tNSlEAnUqEFGr6Hdwd89+iHnazhe0a6OKYZjOQUtsp26PNOWVqzbbEKBVodJshdVml0ukiIIol2MRBSCudxeXfEne0pBhIxdCppqdhE5DSxBrvCy1izJ761lqz57J5uw+q3vtWuRrNwDL7u+LLYcuO2TVINRfI8Ux2QiiIOWMUiskr42/Vuny46GxZVKdWgGNUqqtWG2yQV8rfUZDc1h7nNnXS+TjoiAt5zlrNAqOZWW7XUoFAQDU0HIeXI+T4KrfqBAdTBaSA/41KgGFZeZW029Ftc3dvoF6Q6+otjXSwrewUcUwTKvwS0hC25RXzl+rlHf/3Sw3wWK1S94qQVo6AaQ4nuWTB9zVvDRk2GhVItQKEVVmG/RqBbRqEUYzHCVvCDaS4k9qF2X21rPU3j2Tzdl91ti1KwqCi6wRQVoUOVIoAIBeLWJQZEC9Hw+NLZMKgoAwfw2uFVfhVoUJoaLg0Rw6x7nt6H/w6q6zsBNBXWs5D5CC1Z0507ropWDyET2DoBRF2Gx2iIr6qTpsNoJSFDGiZ5CLfgvLzAjSq2BQS6WDCsvMrarfLnqVFJtoq5vzXcIZu+iUszVgo4phmFbjl5BXzROv3ODIQKz/9iwuFFbA4linUYoiYsL9sHrWwLv23DVm2ChEEQpRiqsyWuxQKwUoRRFGiw0qhYBQ/5rg6OZ6ljqjZ7Kha9edJ6uLXoWwAH8kDA7Hvf27uv3x0NQyqUopootehZ7BBhSVGT2eQ1EUMDoqGIE6KcDeXdyT4Ij7C/GTNmwN6R6ImHBH9nSH18npAbLapZi/mHCpnqw7mdtKv7U3Ejg3eDhxvq4tZ2sgUN1CPEyLUVZWhsDAQJSWliIgoGMH5TIM0zhNJde02wnZN0qRdbUEJEjegiHdA1suAafjwVcvT5WjvEml2Qq1QoGwAE09r0hzM963dILR9oS3strthMSU4/LSYV3vUEGZCQMj/JGSOAZnC8q9mkNn37UD7J1Lu2qFCKVCwNAeQdi2OM4lp1lNSoWavpwldjbOH17vGmhr/TZHzubi6fObjapWhI0qhmFaG08zqpdWm7Hl0OV6BlhH9Sx1BGpyidncLpPeTfmm2nnKdCqFS4C9n0bptm8p+eclnCsol5PCxob74/eT+rfba6A5cjYHNqraIWxUMQzTnmlrz8MvkYa8ib4wZpvTd0e8BlpyDp2wUdUOYaOKYRiGqUtLGjId0UhqDi0tp6fPbw5UZxiGYZg2pCU3cPwSNocA7UfO1svdzjAMwzAM04lho4phGIZhGMYHsFHFMAzDMAzjA9ioYhiGYRiG8QFsVDEMwzAMw/gANqoYhmEYhmF8ABtVDMMwDMMwPoCNKoZhGIZhGB/ARhXDMAzDMIwP4IzqrYizIlBZWVkbj4RhGIZhGE9xPrebquzHRlUrUl5eDgDo2bNnG4+EYRiGYRhvKS8vR2Bgw+VwuKByK2K325GXlwd/f38IgvtCj2VlZejZsyeuXbvWqYsus5ydC5azc8Fydi5YzruHiFBeXo7IyEiIYsORU+ypakVEUUSPHj08ahsQENCpL34nLGfnguXsXLCcnQuW8+5ozEPlhAPVGYZhGIZhfAAbVQzDMAzDMD6Ajap2hkajwdq1a6HRaNp6KC0Ky9m5YDk7Fyxn54LlbD04UJ1hGIZhGMYHsKeKYRiGYRjGB7BRxTAMwzAM4wPYqGIYhmEYhvEBbFQxDMMwDMP4ADaqWpFDhw7hgQceQGRkJARBwM6dO5s8Jy0tDSNHjoRGo0H//v2Rmpra4uO8W7yVMy0tDYIg1PsrKChonQE3k/Xr12PMmDHw9/dHWFgY5s6di/Pnzzd53hdffIHY2FhotVoMGTIEu3fvboXRNp/myJmamlpPn1qttpVG3Dw++ugjDB06VE4cGB8fj2+//bbRczqaLgHv5eyIunTH66+/DkEQkJyc3Gi7jqjT2ngiZ0fU6R/+8Id6Y46NjW30nLbQJRtVrUhlZSWGDRuGTZs2edT+ypUrmD17NiZPnoysrCwkJydj6dKl2Lt3bwuP9O7wVk4n58+fR35+vvwXFhbWQiP0Denp6Vi+fDmOHTuG/fv3w2KxYMaMGaisrGzwnCNHjmDBggVYsmQJMjMzMXfuXMydOxenT59uxZF7R3PkBKSsxrX1+fPPP7fSiJtHjx498Prrr+PEiRP497//jSlTpmDOnDnIyclx274j6hLwXk6g4+myLhkZGdiyZQuGDh3aaLuOqlMnnsoJdEydDh482GXMP/zwQ4Nt20yXxLQJAGjHjh2NtnnhhRdo8ODBLsceeughSkhIaMGR+RZP5Dx48CABoOLi4lYZU0tRVFREACg9Pb3BNvPnz6fZs2e7HBs7diwtW7aspYfnMzyRMyUlhQIDA1tvUC1Ely5daOvWrW7f6wy6dNKYnB1dl+Xl5TRgwADav38/TZw4kZ566qkG23ZknXojZ0fU6dq1a2nYsGEet28rXbKnqh1z9OhRTJs2zeVYQkICjh492kYjalmGDx+OiIgITJ8+HYcPH27r4XhNaWkpACA4OLjBNp1Bp57ICQAVFRWIiopCz549m/SEtDdsNhs+//xzVFZWIj4+3m2bzqBLT+QEOrYuly9fjtmzZ9fTlTs6sk69kRPomDq9ePEiIiMj0bdvXzz66KO4evVqg23bSpdcULkdU1BQgG7durkc69atG8rKylBdXQ2dTtdGI/MtERER2Lx5M0aPHg2TyYStW7di0qRJ+PHHHzFy5Mi2Hp5H2O12JCcnY8KECbjnnnsabNeQTtt7/JgTT+WMiYnBxx9/jKFDh6K0tBRvv/02xo8fj5ycHI+LircF2dnZiI+Ph9FohJ+fH3bs2IFBgwa5bduRdemNnB1VlwDw+eef4+TJk8jIyPCofUfVqbdydkSdjh07FqmpqYiJiUF+fj7WrVuH++67D6dPn4a/v3+99m2lSzaqmDYnJiYGMTEx8uvx48cjNzcXGzduxF//+tc2HJnnLF++HKdPn250jb8z4Kmc8fHxLp6P8ePHY+DAgdiyZQtefvnllh5ms4mJiUFWVhZKS0vx97//HYmJiUhPT2/Q4OioeCNnR9XltWvX8NRTT2H//v3tPgj7bmiOnB1Rp7NmzZL/P3ToUIwdOxZRUVHYvn07lixZ0oYjc4WNqnZMeHg4CgsLXY4VFhYiICCg03ipGiIuLq7DGCgrVqzAN998g0OHDjX5K68hnYaHh7fkEH2CN3LWRaVSYcSIEbh06VILjc43qNVq9O/fHwAwatQoZGRk4L333sOWLVvqte3IuvRGzrp0FF2eOHECRUVFLt5um82GQ4cO4U9/+hNMJhMUCoXLOR1Rp82Rsy4dRae1CQoKQnR0dINjbitdckxVOyY+Ph4HDhxwObZ///5GYx86C1lZWYiIiGjrYTQKEWHFihXYsWMHvvvuO/Tp06fJczqiTpsjZ11sNhuys7PbvU7rYrfbYTKZ3L7XEXXZEI3JWZeOosupU6ciOzsbWVlZ8t/o0aPx6KOPIisry62h0RF12hw569JRdFqbiooK5ObmNjjmNtNli4bBMy6Ul5dTZmYmZWZmEgDasGEDZWZm0s8//0xERKtWraKFCxfK7S9fvkx6vZ6ef/55Onv2LG3atIkUCgXt2bOnrUTwCG/l3LhxI+3cuZMuXrxI2dnZ9NRTT5EoivSvf/2rrUTwiKSkJAoMDKS0tDTKz8+X/6qqquQ2CxcupFWrVsmvDx8+TEqlkt5++206e/YsrV27llQqFWVnZ7eFCB7RHDnXrVtHe/fupdzcXDpx4gQ9/PDDpNVqKScnpy1E8IhVq1ZReno6XblyhU6dOkWrVq0iQRBo3759RNQ5dEnkvZwdUZcNUXdXXGfRaV2akrMj6vTZZ5+ltLQ0unLlCh0+fJimTZtGXbt2paKiIiJqP7pko6oVcaYOqPuXmJhIRESJiYk0ceLEeucMHz6c1Go19e3bl1JSUlp93N7irZxvvPEG9evXj7RaLQUHB9OkSZPou+++a5vBe4E7GQG46GjixImy3E62b99O0dHRpFarafDgwbRr167WHbiXNEfO5ORk6tWrF6nVaurWrRv96le/opMnT7b+4L3g8ccfp6ioKFKr1RQaGkpTp06VDQ2izqFLIu/l7Ii6bIi6xkZn0WldmpKzI+r0oYceooiICFKr1dS9e3d66KGH6NKlS/L77UWXAhFRy/rCGIZhGIZhOj8cU8UwDMMwDOMD2KhiGIZhGIbxAWxUMQzDMAzD+AA2qhiGYRiGYXwAG1UMwzAMwzA+gI0qhmEYhmEYH8BGFcMwDMMwjA9go4phGIZhGMYHsFHFMJ2cRYsWQRCEen8zZ85s66F1OBYtWoS5c+c22e7mzZtISkpCr169oNFoEB4ejoSEBBw+fLjlB9lCpKenY8qUKQgODoZer8eAAQOQmJgIs9nc1kNjmHaDsq0HwDBMyzNz5kykpKS4HNNoNG00ms7PvHnzYDabsW3bNvTt2xeFhYU4cOAAbt++3ew+iQg2mw1KZet/bZ85cwYzZ87EypUr8f7770On0+HixYv48ssvYbPZWuQz21Jehmk2LV4Ih2GYNiUxMZHmzJnTaBsA9Oc//5nmzp1LOp2O+vfvT1999ZVLm6+++or69+9PGo2GJk2aRKmpqQSAiouLiYjo1q1b9PDDD1NkZCTpdDq655576LPPPnPpo6ysjB555BHS6/UUHh5OGzZsqFenzGg00rPPPkuRkZGk1+spLi6ODh48KL+fkpJCgYGB9PXXX1N0dDTpdDqaN28eVVZWUmpqKkVFRVFQUBCtXLmSrFar1/3u2bOHYmNjyWAwUEJCAuXl5RER0dq1a+vVP6x9vpPi4mICQGlpaQ3O95UrVwgAZWZm1jvP2aezhubu3btp5MiRpFKpaMuWLQSAzp4969Lfhg0bqG/fvvLr7OxsmjlzJhkMBgoLC6PHHnuMbt68SURE27Zto+DgYDIajS59zJkzhx577DG34924cSP17t27QXmc/PDDDzRx4kTS6XQUFBREM2bMoDt37hCRNP8rV66k0NBQ0mg0NGHCBDp+/Lh8rjt5Dx48SDabjV577TXq3bs3abVaGjp0KH3xxRdNjoVh2gI2qhimk+OpUdWjRw/67LPP6OLFi/Tkk0+Sn58f3b59m4iILl++TCqVip577jk6d+4c/e1vf6Pu3bu7GFXXr1+nt956izIzMyk3N5fef/99UigU9OOPP8qfs3TpUoqKiqJ//etflJ2dTQ8++CD5+/u7GFVLly6l8ePH06FDh+jSpUv01ltvkUajoQsXLhCRZPyoVCqaPn06nTx5ktLT0ykkJIRmzJhB8+fPp5ycHPr6669JrVbT559/7nW/06ZNo4yMDDpx4gQNHDiQHnnkESIiKi8vp/nz59PMmTMpPz+f8vPzyWQy1ZtLi8VCfn5+lJycXM9wceKNUTV06FDat28fXbp0iW7fvk2jR4+mNWvWuPQ3atQo+VhxcTGFhobS6tWr6ezZs3Ty5EmaPn06TZ48mYiIqqqqKDAwkLZv3y6fX1hYSEqlssFC5n/7299Io9FQenq62/eJiDIzM0mj0VBSUhJlZWXR6dOn6YMPPpCNuSeffJIiIyNp9+7dlJOTQ4mJidSlSxf5GmtI3ldeeYViY2Npz549lJubSykpKaTRaBo1WhmmrWCjimE6OYmJiaRQKMhgMLj8vfrqq3IbAC4P6oqKCgJA3377LRERvfjii3TPPfe49Pvf//3fLkaVO2bPnk3PPvssEUleKpVK5eJlKCkpIb1eLxtVP//8MykUCrpx44ZLP1OnTqXVq1cTkWT8AHCpUL9s2TLS6/VUXl4uH0tISKBly5bdVb+bNm2ibt26ucxlUwYqEdHf//536tKlC2m1Who/fjytXr2afvrpJ/l9b4yqnTt3uvS9ceNG6tevn/z6/PnzLt6rl19+mWbMmOFyzrVr1wgAnT9/noiIkpKSaNasWfL777zzDvXt25fsdrtbeaxWKy1atIgAUHh4OM2dO5c++OADKi0tldssWLCAJkyY4Pb8iooKUqlU9Omnn8rHzGYzRUZG0ptvvtmgvEajkfR6PR05csSlvyVLltCCBQvcfhbDtCW8WM0wvwAmT56Mjz76yOVYcHCwy+uhQ4fK/zcYDAgICEBRUREA4Pz58xgzZoxL+7i4OJfXNpsNr732GrZv344bN27AbDbDZDJBr9cDAC5fvgyLxeJyXmBgIGJiYuTX2dnZsNlsiI6OdunbZDIhJCREfq3X69GvXz/5dbdu3dC7d2/4+fm5HHOOv7n9RkREyH14w7x58zB79mx8//33OHbsGL799lu8+eab2Lp1KxYtWuRVX6NHj3Z5/fDDD+O5557DsWPHMG7cOHz66acYOXIkYmNjAQA//fQTDh486DIXTnJzcxEdHY0nnngCY8aMwY0bN9C9e3ekpqbKGxrcoVAokJKSgldeeQXfffcdfvzxR7z22mt44403cPz4cURERCArKwu/+c1v3J6fm5sLi8WCCRMmyMdUKhXi4uJw9uzZBuW9dOkSqqqqMH36dJc2ZrMZI0aMaGTWGKZtYKOKYX4BGAwG9O/fv9E2KpXK5bUgCLDb7R5/xltvvYX33nsP7777LoYMGQKDwYDk5GSvdodVVFRAoVDgxIkTUCgULu/VNhLcjbWx8d9Nv0Tk8fhro9VqMX36dEyfPh3/8z//g6VLl2Lt2rVYtGgRRFHaeF27b4vF4rYfg8Hg8jo8PBxTpkzBZ599hnHjxuGzzz5DUlKS/H5FRQUeeOABvPHGG/X6ioiIAACMGDECw4YNw1/+8hfMmDEDOTk52LVrV5Myde/eHQsXLsTChQvx8ssvIzo6Gps3b8a6deug0+manhQPqC1vRUUFAGDXrl3o3r27SzveaMG0R9ioYhimSWJiYrB7926XYxkZGS6vDx8+jDlz5uCxxx4DANjtdly4cAGDBg0CAPTt2xcqlQoZGRno1asXAKC0tBQXLlzA/fffD0B62NtsNhQVFeG+++7z2fh91a9arW72brdBgwZh586dAIDQ0FAAQH5+vuxxycrK8rivRx99FC+88AIWLFiAy5cv4+GHH5bfGzlyJL788kv07t270Z1zS5cuxbvvvosbN25g2rRp6Nmzp1fydOnSBREREaisrAQgeToPHDiAdevW1Wvbr18/qNVqHD58GFFRUQAkIzIjIwPJyckNfsagQYOg0Whw9epVTJw40avxMUxbwHmqGOYXgMlkQkFBgcvfrVu3PD5/2bJlOHfuHF588UVcuHAB27dvR2pqKgDIS0YDBgzA/v37ceTIEZw9exbLli1DYWGh3Ie/vz8SExPx/PPP4+DBg8jJycGSJUsgiqLcR3R0NB599FH89re/xT/+8Q9cuXIFx48fx/r16z3ypDSEr/rt3bs3Tp06hfPnz+PWrVtuvUu3b9/GlClT8Mknn+DUqVO4cuUKvvjiC7z55puYM2cOAECn02HcuHF4/fXXcfbsWaSnp2PNmjUej+PXv/41ysvLkZSUhMmTJyMyMlJ+b/ny5bhz5w4WLFiAjIwM5ObmYu/evVi8eLGLQfjII4/g+vXr+POf/4zHH3+80c/bsmULkpKSsG/fPuTm5iInJwcvvvgicnJy8MADDwAAVq9ejYyMDPz+97/HqVOncO7cOXz00Ue4desWDAYDkpKS8Pzzz2PPnj04c+YMnnjiCVRVVWHJkiUNfq6/vz+ee+45PP3009i2bRtyc3Nx8uRJfPDBB9i2bZvH88UwrUZbB3UxDNOyJCYm1ksFAIBiYmLkNgBox44dLucFBgZSSkqK/LpuSoWPPvqIAFB1dTUREd2+fZvmzJlDfn5+FBYWRmvWrKHf/va3LoHd7lIqxMXF0apVq+Q2ZrOZXnrpJerduzepVCqKiIigBx98kE6dOkVENakParN27VoaNmxYPblrf3Zz+t2xYwfV/posKiqi6dOnk5+fX4MpFYxGI61atYpGjhxJgYGBpNfrKSYmhtasWUNVVVVyuzNnzlB8fDzpdDoaPnw47du3z22gekMbAebPn08A6OOPP6733oULF+jBBx+koKAg0ul0FBsbS8nJyfUC0RcuXOg2vUJdTp48SY899hj16dOHNBoNhYSE0P3330///Oc/XdqlpaXR+PHjSaPRUFBQECUkJMjjr66uppUrV1LXrl0bTalQV1673U7vvvsuxcTEkEqlotDQUEpISGh0JyLDtBUCUTMDBhiG+UXz6quvYvPmzbh27Vqz+6isrET37t3xzjvvNOqxYFqGqVOnYvDgwXj//ffbeigM0yngmCqGYTziww8/xJgxYxASEoLDhw/jrbfewooVK7zqIzMzE+fOnUNcXBxKS0vxxz/+EQDkZTGmdSguLkZaWhrS0tLw4YcftvVwGKbTwEYVwzAecfHiRbzyyiu4c+cOevXqhWeffRarV6/2up+3334b58+fh1qtxqhRo/D999+ja9euLTBipiFGjBiB4uJivPHGGy4pLRiGuTt4+Y9hGIZhGMYH8O4/hmEYhmEYH8BGFcMwDMMwjA9go4phGIZhGMYHsFHFMAzDMAzjA9ioYhiGYRiG8QFsVDEMwzAMw/gANqoYhmEYhmF8ABtVDMMwDMMwPoCNKoZhGIZhGB/w/xSpbq6Pl5mOAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.violinplot(x=\"Department\", y=\"Salary\", data=hr)\n",
        "\n",
        "# Add labels and title\n",
        "plt.xlabel(\"Department\")\n",
        "plt.ylabel(\"Salary\")\n",
        "plt.title(\"Distribution of Salary by Department\")\n",
        "plt.xticks(rotation=90)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "Q9bu7dx1c9cv",
        "outputId": "8e0ade0c-7ade-4dc1-a6e2-36e9303ca5c7"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "airbnb.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 461
        },
        "id": "nxEz89iPdSeF",
        "outputId": "b622f111-6162-4cf1-b697-2c09f31514ea"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     id                                              name  host_id  \\\n",
              "0  2539                Clean & quiet apt home by the park     2787   \n",
              "1  2595                             Skylit Midtown Castle     2845   \n",
              "2  3647               THE VILLAGE OF HARLEM....NEW YORK !     4632   \n",
              "3  3831                   Cozy Entire Floor of Brownstone     4869   \n",
              "4  5022  Entire Apt: Spacious Studio/Loft by central park     7192   \n",
              "\n",
              "     host_name neighbourhood_group neighbourhood  latitude  longitude  \\\n",
              "0         John            Brooklyn    Kensington  40.64749  -73.97237   \n",
              "1     Jennifer           Manhattan       Midtown  40.75362  -73.98377   \n",
              "2    Elisabeth           Manhattan        Harlem  40.80902  -73.94190   \n",
              "3  LisaRoxanne            Brooklyn  Clinton Hill  40.68514  -73.95976   \n",
              "4        Laura           Manhattan   East Harlem  40.79851  -73.94399   \n",
              "\n",
              "         room_type  price  minimum_nights  number_of_reviews last_review  \\\n",
              "0     Private room    149               1                  9  10/19/2018   \n",
              "1  Entire home/apt    225               1                 45   5/21/2019   \n",
              "2     Private room    150               3                  0         NaN   \n",
              "3  Entire home/apt     89               1                270    7/5/2019   \n",
              "4  Entire home/apt     80              10                  9  11/19/2018   \n",
              "\n",
              "   reviews_per_month  calculated_host_listings_count  availability_365  \n",
              "0               0.21                               6               365  \n",
              "1               0.38                               2               355  \n",
              "2                NaN                               1               365  \n",
              "3               4.64                               1               194  \n",
              "4               0.10                               1                 0  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e0382d1c-a237-4d2d-9e61-9cfc725ad6ab\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>host_id</th>\n",
              "      <th>host_name</th>\n",
              "      <th>neighbourhood_group</th>\n",
              "      <th>neighbourhood</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>room_type</th>\n",
              "      <th>price</th>\n",
              "      <th>minimum_nights</th>\n",
              "      <th>number_of_reviews</th>\n",
              "      <th>last_review</th>\n",
              "      <th>reviews_per_month</th>\n",
              "      <th>calculated_host_listings_count</th>\n",
              "      <th>availability_365</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2539</td>\n",
              "      <td>Clean &amp; quiet apt home by the park</td>\n",
              "      <td>2787</td>\n",
              "      <td>John</td>\n",
              "      <td>Brooklyn</td>\n",
              "      <td>Kensington</td>\n",
              "      <td>40.64749</td>\n",
              "      <td>-73.97237</td>\n",
              "      <td>Private room</td>\n",
              "      <td>149</td>\n",
              "      <td>1</td>\n",
              "      <td>9</td>\n",
              "      <td>10/19/2018</td>\n",
              "      <td>0.21</td>\n",
              "      <td>6</td>\n",
              "      <td>365</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2595</td>\n",
              "      <td>Skylit Midtown Castle</td>\n",
              "      <td>2845</td>\n",
              "      <td>Jennifer</td>\n",
              "      <td>Manhattan</td>\n",
              "      <td>Midtown</td>\n",
              "      <td>40.75362</td>\n",
              "      <td>-73.98377</td>\n",
              "      <td>Entire home/apt</td>\n",
              "      <td>225</td>\n",
              "      <td>1</td>\n",
              "      <td>45</td>\n",
              "      <td>5/21/2019</td>\n",
              "      <td>0.38</td>\n",
              "      <td>2</td>\n",
              "      <td>355</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3647</td>\n",
              "      <td>THE VILLAGE OF HARLEM....NEW YORK !</td>\n",
              "      <td>4632</td>\n",
              "      <td>Elisabeth</td>\n",
              "      <td>Manhattan</td>\n",
              "      <td>Harlem</td>\n",
              "      <td>40.80902</td>\n",
              "      <td>-73.94190</td>\n",
              "      <td>Private room</td>\n",
              "      <td>150</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>365</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3831</td>\n",
              "      <td>Cozy Entire Floor of Brownstone</td>\n",
              "      <td>4869</td>\n",
              "      <td>LisaRoxanne</td>\n",
              "      <td>Brooklyn</td>\n",
              "      <td>Clinton Hill</td>\n",
              "      <td>40.68514</td>\n",
              "      <td>-73.95976</td>\n",
              "      <td>Entire home/apt</td>\n",
              "      <td>89</td>\n",
              "      <td>1</td>\n",
              "      <td>270</td>\n",
              "      <td>7/5/2019</td>\n",
              "      <td>4.64</td>\n",
              "      <td>1</td>\n",
              "      <td>194</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5022</td>\n",
              "      <td>Entire Apt: Spacious Studio/Loft by central park</td>\n",
              "      <td>7192</td>\n",
              "      <td>Laura</td>\n",
              "      <td>Manhattan</td>\n",
              "      <td>East Harlem</td>\n",
              "      <td>40.79851</td>\n",
              "      <td>-73.94399</td>\n",
              "      <td>Entire home/apt</td>\n",
              "      <td>80</td>\n",
              "      <td>10</td>\n",
              "      <td>9</td>\n",
              "      <td>11/19/2018</td>\n",
              "      <td>0.10</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e0382d1c-a237-4d2d-9e61-9cfc725ad6ab')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e0382d1c-a237-4d2d-9e61-9cfc725ad6ab 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-e0382d1c-a237-4d2d-9e61-9cfc725ad6ab');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "airbnb.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_m54nS6Td46r",
        "outputId": "066b55ce-9727-4521-c5b7-19efd6bf8bf6"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['id', 'name', 'host_id', 'host_name', 'neighbourhood_group',\n",
              "       'neighbourhood', 'latitude', 'longitude', 'room_type', 'price',\n",
              "       'minimum_nights', 'number_of_reviews', 'last_review',\n",
              "       'reviews_per_month', 'calculated_host_listings_count',\n",
              "       'availability_365'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(19,5))\n",
        "neighbourhood_counts=airbnb[\"neighbourhood\"].value_counts()\n",
        "plt.bar(neighbourhood_counts.index, neighbourhood_counts.values)\n",
        "plt.xticks(rotation=90)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 570
        },
        "id": "3M6xOqbEd6NN",
        "outputId": "6654746b-33d3-455f-f40e-8d41a5d5bb98"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1900x500 with 1 Axes>"
            ],
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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.hist(airbnb[\"price\"], bins=20)\n",
        "\n",
        "# Add labels and title\n",
        "plt.xlabel(\"Price (USD)\")\n",
        "plt.ylabel(\"Count\")\n",
        "plt.title(\"Distribution of Airbnb Listing Prices\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "6P8IysBieahw",
        "outputId": "f3720bce-fb67-405e-8192-bbecdbc6118f"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Distribution of Airbnb Listing Prices')"
            ]
          },
          "metadata": {},
          "execution_count": 47
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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rGBMTIz8/P7388su6dOlSgTlOnTol6fJnQ124cMGhr1GjRqpevbrDawvr4dASXMLq1av1/fff67ffflN6erqSkpK0fv16hYWFaeXKlcV+yNeECRP0+eefq1evXgoLC1NGRoZmzpypBg0a2D+folGjRgoICNDs2bNVvXp1VatWTZGRkSU6Tl+YmjVrqmvXrho0aJDS09M1bdo0NW7c2OFEyccee0xLly7VXXfdpfvvv1+HDh3SvHnzHE6+LW1tvXv31m233abnn39ehw8fVtu2bbVu3TqtWLFCw4YNKzB3WT3xxBP6v//7Pw0cOFDJyckKDw/X0qVL9eWXX2ratGnFnrNUlPnz5+vGG29USEhIof333HOPhgwZop07d6p9+/Zlqrtx48bq2rWrBg8erJycHE2bNk21atXSM888U6b5ymPO//3vf/Y9Wb8XFxdX4LU4c+aMGjRooPvuu09t27aVr6+vPv30U23fvt1hr0GHDh20aNEijRgxQp06dZKvr6969+5d5jVKl0PDTTfdpJEjR+rgwYNq1qyZVq5caf+PgjO+A6lx48Z6/vnn9c9//lPdunXTvffeKy8vL23fvl3BwcGaNGmS/Pz8NGvWLD388MNq3769+vXrpzp16ujo0aNatWqVunTpon//+9/av3+/br/9dt1///1q0aKF3N3dtWzZMqWnp6tfv37XfW0oR869aAp/dPmXX+ffPD09TVBQkLnjjjvMG2+84XCZb74rL9FMTEw0ffr0McHBwcbT09MEBweb/v37m/379zs8bsWKFaZFixbG3d3d4XLS7t27m5YtWxZaX1GXX//3v/81o0ePNnXr1jU+Pj6mV69e5siRIwUe//rrr5v69esbLy8v06VLF7Njx44CcxZX25WXXxtz+XLT4cOHm+DgYOPh4WGaNGliXnvtNfvlqPkkFXoZb1GXhV8pPT3dDBo0yNSuXdt4enqa1q1bF3oJbkkuv05OTjaSzJgxY4occ/jwYYfLmou6/LqwNeVfdvzaa6+Z119/3YSEhBgvLy/TrVs3s3v3boexcXFxplq1agXmuPL5SjNnYfLfK0XdvvjiC/ua8i+/zsnJMU8//bRp27atqV69uqlWrZpp27atmTlzpsPcZ8+eNQ8++KAJCAgwkuzvkaIuvy7Jeo0x5tSpU+bBBx801atXN/7+/mbgwIHmyy+/NJLMwoULS7Teq11unv+8hX1cQmE1GWPMu+++a9q1a2e8vLxMjRo1TPfu3c369esLPH9MTIzx9/c33t7eplGjRmbgwIFmx44dxhhjfvrpJxMfH2+aNWtmqlWrZvz9/U1kZKRZvHhxsfXC9dmMcdJZfwAAl7d8+XL9+c9/1qZNm4o8SRtwJoIMAEDS5U90/v3VRLm5ubrzzju1Y8cOpaWlVcjVfcC14hwZAIAkaciQITp//ryioqKUk5OjDz/8UF999ZVefvllQgxcFntkAACSpAULFuj111/XwYMHdeHCBTVu3FiDBw9WQkKCs0sDikSQAQAAlsXnyAAAAMsiyAAAAMuq9Cf75uXl6cSJE6pevbpTPtAJAACUnjFGZ86cUXBwcIEvsP29Sh9kTpw4UeQniQIAANd27NgxNWjQoMj+Sh9k8j9K/dixY/Lz83NyNQAAoCSys7MVEhJy1a9EqfRBJv9wkp+fH0EGAACLudppIZzsCwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALIsgAwAALMvd2QWgcOGjVlXY3Icn96qwuQEAuJ7YIwMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACzL6UHm+PHjeuihh1SrVi35+PiodevW2rFjh73fGKMXX3xR9erVk4+Pj6Kjo3XgwAEnVgwAAFyFU4PML7/8oi5dusjDw0OrV6/W3r179frrr6tGjRr2Ma+++qqmT5+u2bNna+vWrapWrZpiYmJ04cIFJ1YOAABcgbszn/yVV15RSEiI5syZY2+LiIiw/9sYo2nTpumFF15Qnz59JEnvv/++AgMDtXz5cvXr1++61wwAAFyHU/fIrFy5Uh07dtRf/vIX1a1bV+3atdPbb79t709NTVVaWpqio6Ptbf7+/oqMjNTmzZudUTIAAHAhTg0yP/zwg2bNmqUmTZpo7dq1Gjx4sIYOHar33ntPkpSWliZJCgwMdHhcYGCgve9KOTk5ys7OdrgBAIDKyamHlvLy8tSxY0e9/PLLkqR27dopJSVFs2fPVlxcXJnmnDRpksaPH1+eZQIAABfl1D0y9erVU4sWLRzamjdvrqNHj0qSgoKCJEnp6ekOY9LT0+19Vxo9erSysrLst2PHjlVA5QAAwBU4Nch06dJF+/btc2jbv3+/wsLCJF0+8TcoKEiJiYn2/uzsbG3dulVRUVGFzunl5SU/Pz+HGwAAqJycemhp+PDhuvnmm/Xyyy/r/vvv17Zt2/TWW2/prbfekiTZbDYNGzZML730kpo0aaKIiAiNGTNGwcHB6tu3rzNLBwAALsCpQaZTp05atmyZRo8erQkTJigiIkLTpk3TgAED7GOeeeYZnTt3Tk888YQyMzPVtWtXrVmzRt7e3k6sHAAAuAKbMcY4u4iKlJ2dLX9/f2VlZVnqMFP4qFUVNvfhyb0qbG4AAMpDSf9+O/0rCgAAAMqKIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACyLIAMAACzL3dkF4PoLH7WqQuY9PLlXhcwLAEBR2CMDAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsiyADAAAsy6lBZty4cbLZbA63Zs2a2fsvXLig+Ph41apVS76+voqNjVV6eroTKwYAAK7E6XtkWrZsqZMnT9pvmzZtsvcNHz5cH330kZYsWaKNGzfqxIkTuvfee51YLQAAcCXuTi/A3V1BQUEF2rOysvTOO+9owYIF6tGjhyRpzpw5at68ubZs2aLOnTtf71IBAICLcfoemQMHDig4OFgNGzbUgAEDdPToUUlScnKyLl26pOjoaPvYZs2aKTQ0VJs3b3ZWuQAAwIU4dY9MZGSk5s6dq6ZNm+rkyZMaP368unXrppSUFKWlpcnT01MBAQEOjwkMDFRaWlqRc+bk5CgnJ8d+Pzs7u6LKBwAATubUINOzZ0/7v9u0aaPIyEiFhYVp8eLF8vHxKdOckyZN0vjx48urRAAA4MKcfmjp9wICAnTDDTfo4MGDCgoK0sWLF5WZmekwJj09vdBzavKNHj1aWVlZ9tuxY8cquGoAAOAsLhVkzp49q0OHDqlevXrq0KGDPDw8lJiYaO/ft2+fjh49qqioqCLn8PLykp+fn8MNAABUTk49tPSPf/xDvXv3VlhYmE6cOKGxY8eqSpUq6t+/v/z9/fXoo49qxIgRqlmzpvz8/DRkyBBFRUVxxRIAAJDk5CDz448/qn///vr5559Vp04dde3aVVu2bFGdOnUkSVOnTpWbm5tiY2OVk5OjmJgYzZw505klAwAAF2IzxhhnF1GRsrOz5e/vr6ysLEsdZgoftcrZJZTa4cm9nF0CAKCSKOnfb5c6RwYAAKA0CDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCy3J1dgJWFj1rl7BIAAPhDY48MAACwLIIMAACwLIIMAACwLIIMAACwLIIMAACwLJcJMpMnT5bNZtOwYcPsbRcuXFB8fLxq1aolX19fxcbGKj093XlFAgAAl+ISQWb79u36v//7P7Vp08ahffjw4froo4+0ZMkSbdy4USdOnNC9997rpCoBAICrcXqQOXv2rAYMGKC3335bNWrUsLdnZWXpnXfe0ZQpU9SjRw916NBBc+bM0VdffaUtW7Y4sWIAAOAqnB5k4uPj1atXL0VHRzu0Jycn69KlSw7tzZo1U2hoqDZv3ny9ywQAAC7IqZ/su3DhQu3cuVPbt28v0JeWliZPT08FBAQ4tAcGBiotLa3IOXNycpSTk2O/n52dXW71AgAA1+K0PTLHjh3TU089pfnz58vb27vc5p00aZL8/f3tt5CQkHKbGwAAuBanBZnk5GRlZGSoffv2cnd3l7u7uzZu3Kjp06fL3d1dgYGBunjxojIzMx0el56erqCgoCLnHT16tLKysuy3Y8eOVfBKAACAszjt0NLtt9+ub7/91qFt0KBBatasmZ599lmFhITIw8NDiYmJio2NlSTt27dPR48eVVRUVJHzenl5ycvLq0JrBwAArsFpQaZ69epq1aqVQ1u1atVUq1Yte/ujjz6qESNGqGbNmvLz89OQIUMUFRWlzp07O6NkAADgYpx6su/VTJ06VW5uboqNjVVOTo5iYmI0c+ZMZ5cFAABchM0YY5xdREXKzs6Wv7+/srKy5OfnV65zh49aVa7zWd3hyb2cXQIAoJIo6d9vp3+ODAAAQFkRZAAAgGURZAAAgGURZAAAgGURZAAAgGURZAAAgGURZAAAgGURZAAAgGURZAAAgGURZAAAgGURZAAAgGWVKcg0bNhQP//8c4H2zMxMNWzY8JqLAgAAKIkyBZnDhw8rNze3QHtOTo6OHz9+zUUBAACUhHtpBq9cudL+77Vr18rf399+Pzc3V4mJiQoPDy+34gAAAIpTqiDTt29fSZLNZlNcXJxDn4eHh8LDw/X666+XW3EAAADFKVWQycvLkyRFRERo+/btql27doUUBQAAUBKlCjL5UlNTy7sOAACAUitTkJGkxMREJSYmKiMjw76nJt+77757zYUBAABcTZmCzPjx4zVhwgR17NhR9erVk81mK++6AAAArqpMQWb27NmaO3euHn744fKuBwAAoMTK9DkyFy9e1M0331zetQAAAJRKmYLMY489pgULFpR3LQAAAKVSpkNLFy5c0FtvvaVPP/1Ubdq0kYeHh0P/lClTyqU4AACA4pQpyHzzzTe68cYbJUkpKSkOfZz4CwAArpcyBZkNGzaUdx0AAAClVqZzZAAAAFxBmfbI3HbbbcUeQkpKSipzQQAAACVVpiCTf35MvkuXLmnXrl1KSUkp8GWSAAAAFaVMQWbq1KmFto8bN05nz569poIAAABKqlzPkXnooYf4niUAAHDdlGuQ2bx5s7y9vctzSgAAgCKV6dDSvffe63DfGKOTJ09qx44dGjNmTLkUBgAAcDVlCjL+/v4O993c3NS0aVNNmDBBd955Z7kUBgAAcDVlCjJz5swp7zoAAABKrUxBJl9ycrK+++47SVLLli3Vrl27cikKAACgJMoUZDIyMtSvXz999tlnCggIkCRlZmbqtttu08KFC1WnTp3yrBEAAKBQZbpqaciQITpz5oz27Nmj06dP6/Tp00pJSVF2draGDh1a3jUCAAAUqkx7ZNasWaNPP/1UzZs3t7e1aNFCM2bM4GRfAABw3ZRpj0xeXp48PDwKtHt4eCgvL++aiwIAACiJMgWZHj166KmnntKJEyfsbcePH9fw4cN1++23l1txAAAAxSlTkPn3v/+t7OxshYeHq1GjRmrUqJEiIiKUnZ2tN998s7xrBAAAKFSZzpEJCQnRzp079emnn+r777+XJDVv3lzR0dHlWhwAAEBxSrVHJikpSS1atFB2drZsNpvuuOMODRkyREOGDFGnTp3UsmVLffHFFxVVKwAAgINSBZlp06bp8ccfl5+fX4E+f39//e1vf9OUKVPKrTgAAIDilCrI7N69W3fddVeR/XfeeaeSk5NLPN+sWbPUpk0b+fn5yc/PT1FRUVq9erW9/8KFC4qPj1etWrXk6+ur2NhYpaenl6ZkAABQiZUqyKSnpxd62XU+d3d3nTp1qsTzNWjQQJMnT1ZycrJ27NihHj16qE+fPtqzZ48kafjw4froo4+0ZMkSbdy4USdOnCjwzdsAAOCPq1Qn+9avX18pKSlq3Lhxof3ffPON6tWrV+L5evfu7XB/4sSJmjVrlrZs2aIGDRronXfe0YIFC9SjRw9Jl7+ssnnz5tqyZYs6d+5cmtIBAEAlVKo9Mn/60580ZswYXbhwoUDf+fPnNXbsWN19991lKiQ3N1cLFy7UuXPnFBUVpeTkZF26dMnhSqhmzZopNDRUmzdvLtNzAACAyqVUe2ReeOEFffjhh7rhhhuUkJCgpk2bSpK+//57zZgxQ7m5uXr++edLVcC3336rqKgoXbhwQb6+vlq2bJlatGihXbt2ydPT0/6llPkCAwOVlpZW5Hw5OTnKycmx38/Ozi5VPQAAwDpKFWQCAwP11VdfafDgwRo9erSMMZIkm82mmJgYzZgxQ4GBgaUqoGnTptq1a5eysrK0dOlSxcXFaePGjaWa4/cmTZqk8ePHl/nxAADAOkr9gXhhYWH65JNP9Msvv+jgwYMyxqhJkyaqUaNGmQrw9PS0n3PToUMHbd++XW+88YYeeOABXbx4UZmZmQ57ZdLT0xUUFFTkfKNHj9aIESPs97OzsxUSElKm2gAAgGsr0yf7SlKNGjXUqVOn8qxF0uUvpMzJyVGHDh3k4eGhxMRExcbGSpL27duno0ePKioqqsjHe3l5ycvLq9zrAgAArqfMQaY8jB49Wj179lRoaKjOnDmjBQsW6LPPPtPatWvl7++vRx99VCNGjFDNmjXl5+enIUOGKCoqiiuWAACAJCcHmYyMDP31r3/VyZMn5e/vrzZt2mjt2rW64447JElTp06Vm5ubYmNjlZOTo5iYGM2cOdOZJQMAABdiM/ln7FZS2dnZ8vf3V1ZWVqFfrXAtwketKtf5ULTDk3s5uwQAwHVU0r/fpfocGQAAAFdCkAEAAJZFkAEAAJZFkAEAAJZFkAEAAJbl1MuvgZKqqCvEuBoKAKyNPTIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCynBpkJk2apE6dOql69eqqW7eu+vbtq3379jmMuXDhguLj41WrVi35+voqNjZW6enpTqoYAAC4EqcGmY0bNyo+Pl5btmzR+vXrdenSJd155506d+6cfczw4cP10UcfacmSJdq4caNOnDihe++914lVAwAAV+HuzCdfs2aNw/25c+eqbt26Sk5O1i233KKsrCy98847WrBggXr06CFJmjNnjpo3b64tW7aoc+fOzigbAAC4CJc6RyYrK0uSVLNmTUlScnKyLl26pOjoaPuYZs2aKTQ0VJs3b3ZKjQAAwHU4dY/M7+Xl5WnYsGHq0qWLWrVqJUlKS0uTp6enAgICHMYGBgYqLS2t0HlycnKUk5Njv5+dnV1hNQMAAOdymT0y8fHxSklJ0cKFC69pnkmTJsnf399+CwkJKacKAQCAq3GJIJOQkKCPP/5YGzZsUIMGDeztQUFBunjxojIzMx3Gp6enKygoqNC5Ro8eraysLPvt2LFjFVk6AABwIqcGGWOMEhIStGzZMiUlJSkiIsKhv0OHDvLw8FBiYqK9bd++fTp69KiioqIKndPLy0t+fn4ONwAAUDk59RyZ+Ph4LViwQCtWrFD16tXt5734+/vLx8dH/v7+evTRRzVixAjVrFlTfn5+GjJkiKKiorhiCQAAODfIzJo1S5J06623OrTPmTNHAwcOlCRNnTpVbm5uio2NVU5OjmJiYjRz5szrXCkAAHBFTg0yxpirjvH29taMGTM0Y8aM61ARAACwEpc42RcAAKAsCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCyCDIAAMCy3J1dAOBM4aNWVdjchyf3qrC5AQCXsUcGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYllODzOeff67evXsrODhYNptNy5cvd+g3xujFF19UvXr15OPjo+joaB04cMA5xQIAAJfj1CBz7tw5tW3bVjNmzCi0/9VXX9X06dM1e/Zsbd26VdWqVVNMTIwuXLhwnSsFAACuyN2ZT96zZ0/17Nmz0D5jjKZNm6YXXnhBffr0kSS9//77CgwM1PLly9WvX7/rWSoAAHBBLnuOTGpqqtLS0hQdHW1v8/f3V2RkpDZv3uzEygAAgKtw6h6Z4qSlpUmSAgMDHdoDAwPtfYXJyclRTk6O/X52dnbFFAgAAJzOZffIlNWkSZPk7+9vv4WEhDi7JAAAUEFcNsgEBQVJktLT0x3a09PT7X2FGT16tLKysuy3Y8eOVWidAADAeVw2yERERCgoKEiJiYn2tuzsbG3dulVRUVFFPs7Ly0t+fn4ONwAAUDk59RyZs2fP6uDBg/b7qamp2rVrl2rWrKnQ0FANGzZML730kpo0aaKIiAiNGTNGwcHB6tu3r/OKBgAALsOpQWbHjh267bbb7PdHjBghSYqLi9PcuXP1zDPP6Ny5c3riiSeUmZmprl27as2aNfL29nZWyQAAwIXYjDHG2UVUpOzsbPn7+ysrK6vcDzOFj1pVrvOhcjk8uZezSwAAyyrp32+XPUcGAADgaggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAsggyAADAstydXQBQWYWPWlUh8x6e3KtC5gUAK2KPDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCyCDAAAsCx3ZxcAwHWEj1pVIfMentyrQua1qop6nSVea/zxsEcGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFlctARZTkVe8AIDVsEcGAABYFkEGAABYFkEGAABYFkEGAABYFif7AqhwVvxIfk6qRmVTWb+CxBJ7ZGbMmKHw8HB5e3srMjJS27Ztc3ZJAADABbh8kFm0aJFGjBihsWPHaufOnWrbtq1iYmKUkZHh7NIAAICTuXyQmTJlih5//HENGjRILVq00OzZs1W1alW9++67zi4NAAA4mUsHmYsXLyo5OVnR0dH2Njc3N0VHR2vz5s1OrAwAALgClz7Z96efflJubq4CAwMd2gMDA/X9998X+picnBzl5OTY72dlZUmSsrOzy72+vJxfy31OAKVTET/bknV/vivq9YD1VdR7uqLec/nzGmOKHefSQaYsJk2apPHjxxdoDwkJcUI1ACqa/zRnV+BaeD1wvVX0e+7MmTPy9/cvst+lg0zt2rVVpUoVpaenO7Snp6crKCio0MeMHj1aI0aMsN/Py8vT6dOn5eHhodDQUB07dkx+fn4VWrezZWdnKyQkhLVWMqy1cvqjrPWPsk6JtZYXY4zOnDmj4ODgYse5dJDx9PRUhw4dlJiYqL59+0q6HEwSExOVkJBQ6GO8vLzk5eXl0BYQEGDfReXn51fp31j5WGvlxForpz/KWv8o65RYa3kobk9MPpcOMpI0YsQIxcXFqWPHjrrppps0bdo0nTt3ToMGDXJ2aQAAwMlcPsg88MADOnXqlF588UWlpaXpxhtv1Jo1awqcAAwAAP54XD7ISFJCQkKRh5JKysvLS2PHji1w2KkyYq2VE2utnP4oa/2jrFNirdebzVztuiYAAAAX5dIfiAcAAFAcggwAALAsggwAALAsggwAALCsP0SQmTFjhsLDw+Xt7a3IyEht27bN2SWV2ueff67evXsrODhYNptNy5cvd+g3xujFF19UvXr15OPjo+joaB04cMBhzOnTpzVgwAD5+fkpICBAjz76qM6ePXsdV1EykyZNUqdOnVS9enXVrVtXffv21b59+xzGXLhwQfHx8apVq5Z8fX0VGxtb4BOgjx49ql69eqlq1aqqW7eunn76af3222/XcylXNWvWLLVp08b+YVJRUVFavXq1vb+yrPNKkydPls1m07Bhw+xtlWWt48aNk81mc7g1a9bM3l9Z1pnv+PHjeuihh1SrVi35+PiodevW2rFjh72/svxuCg8PL7BdbTab4uPjJVWu7Zqbm6sxY8YoIiJCPj4+atSokf75z386fOeRS21XU8ktXLjQeHp6mnfffdfs2bPHPP744yYgIMCkp6c7u7RS+eSTT8zzzz9vPvzwQyPJLFu2zKF/8uTJxt/f3yxfvtzs3r3b3HPPPSYiIsKcP3/ePuauu+4ybdu2NVu2bDFffPGFady4senfv/91XsnVxcTEmDlz5piUlBSza9cu86c//cmEhoaas2fP2sc8+eSTJiQkxCQmJpodO3aYzp07m5tvvtne/9tvv5lWrVqZ6Oho8/XXX5tPPvnE1K5d24wePdoZSyrSypUrzapVq8z+/fvNvn37zHPPPWc8PDxMSkqKMabyrPP3tm3bZsLDw02bNm3MU089ZW+vLGsdO3asadmypTl58qT9durUKXt/ZVmnMcacPn3ahIWFmYEDB5qtW7eaH374waxdu9YcPHjQPqay/G7KyMhw2Kbr1683ksyGDRuMMZVru06cONHUqlXLfPzxxyY1NdUsWbLE+Pr6mjfeeMM+xpW2a6UPMjfddJOJj4+338/NzTXBwcFm0qRJTqzq2lwZZPLy8kxQUJB57bXX7G2ZmZnGy8vL/Pe//zXGGLN3714jyWzfvt0+ZvXq1cZms5njx49ft9rLIiMjw0gyGzduNMZcXpuHh4dZsmSJfcx3331nJJnNmzcbYy4HPzc3N5OWlmYfM2vWLOPn52dycnKu7wJKqUaNGuY///lPpVznmTNnTJMmTcz69etN9+7d7UGmMq117Nixpm3btoX2VaZ1GmPMs88+a7p27Vpkf2X+3fTUU0+ZRo0amby8vEq3XXv16mUeeeQRh7Z7773XDBgwwBjjetu1Uh9aunjxopKTkxUdHW1vc3NzU3R0tDZv3uzEyspXamqq0tLSHNbp7++vyMhI+zo3b96sgIAAdezY0T4mOjpabm5u2rp163WvuTSysrIkSTVr1pQkJScn69KlSw7rbdasmUJDQx3W27p1a4dPgI6JiVF2drb27NlzHasvudzcXC1cuFDnzp1TVFRUpVxnfHy8evXq5bAmqfJt0wMHDig4OFgNGzbUgAEDdPToUUmVb50rV65Ux44d9Ze//EV169ZVu3bt9Pbbb9v7K+vvposXL2revHl65JFHZLPZKt12vfnmm5WYmKj9+/dLknbv3q1NmzapZ8+eklxvu1rik33L6qefflJubm6BrzMIDAzU999/76Sqyl9aWpokFbrO/L60tDTVrVvXod/d3V01a9a0j3FFeXl5GjZsmLp06aJWrVpJurwWT09PBQQEOIy9cr2FvR75fa7k22+/VVRUlC5cuCBfX18tW7ZMLVq00K5duyrVOhcuXKidO3dq+/btBfoq0zaNjIzU3Llz1bRpU508eVLjx49Xt27dlJKSUqnWKUk//PCDZs2apREjRui5557T9u3bNXToUHl6eiouLq7S/m5avny5MjMzNXDgQEmV6/0rSaNGjVJ2draaNWumKlWqKDc3VxMnTtSAAQMkud7fnEodZGB98fHxSklJ0aZNm5xdSoVp2rSpdu3apaysLC1dulRxcXHauHGjs8sqV8eOHdNTTz2l9evXy9vb29nlVKj8/7VKUps2bRQZGamwsDAtXrxYPj4+Tqys/OXl5aljx456+eWXJUnt2rVTSkqKZs+erbi4OCdXV3Heeecd9ezZU8HBwc4upUIsXrxY8+fP14IFC9SyZUvt2rVLw4YNU3BwsEtu10p9aKl27dqqUqVKgTPH09PTFRQU5KSqyl/+WopbZ1BQkDIyMhz6f/vtN50+fdplX4uEhAR9/PHH2rBhgxo0aGBvDwoK0sWLF5WZmekw/sr1FvZ65Pe5Ek9PTzVu3FgdOnTQpEmT1LZtW73xxhuVap3JycnKyMhQ+/bt5e7uLnd3d23cuFHTp0+Xu7u7AgMDK81arxQQEKAbbrhBBw8erFTbVJLq1aunFi1aOLQ1b97cfiitMv5uOnLkiD799FM99thj9rbKtl2ffvppjRo1Sv369VPr1q318MMPa/jw4Zo0aZIk19uulTrIeHp6qkOHDkpMTLS35eXlKTExUVFRUU6srHxFREQoKCjIYZ3Z2dnaunWrfZ1RUVHKzMxUcnKyfUxSUpLy8vIUGRl53WsujjFGCQkJWrZsmZKSkhQREeHQ36FDB3l4eDisd9++fTp69KjDer/99luHH6T169fLz8+vwC9eV5OXl6ecnJxKtc7bb79d3377rXbt2mW/dezYUQMGDLD/u7Ks9Upnz57VoUOHVK9evUq1TSWpS5cuBT4aYf/+/QoLC5NU+X43SdKcOXNUt25d9erVy95W2bbrr7/+Kjc3x3hQpUoV5eXlSXLB7Vqupw67oIULFxovLy8zd+5cs3fvXvPEE0+YgIAAhzPHreDMmTPm66+/Nl9//bWRZKZMmWK+/vprc+TIEWPM5UvhAgICzIoVK8w333xj+vTpU+ilcO3atTNbt241mzZtMk2aNHG5SxyNMWbw4MHG39/ffPbZZw6XO/7666/2MU8++aQJDQ01SUlJZseOHSYqKspERUXZ+/MvdbzzzjvNrl27zJo1a0ydOnVc7lLHUaNGmY0bN5rU1FTzzTffmFGjRhmbzWbWrVtnjKk86yzM769aMqbyrHXkyJHms88+M6mpqebLL7800dHRpnbt2iYjI8MYU3nWaczlS+nd3d3NxIkTzYEDB8z8+fNN1apVzbx58+xjKtPvptzcXBMaGmqeffbZAn2VabvGxcWZ+vXr2y+//vDDD03t2rXNM888Yx/jStu10gcZY4x58803TWhoqPH09DQ33XST2bJli7NLKrUNGzYYSQVucXFxxpjLl8ONGTPGBAYGGi8vL3P77bebffv2Oczx888/m/79+xtfX1/j5+dnBg0aZM6cOeOE1RSvsHVKMnPmzLGPOX/+vPn73/9uatSoYapWrWr+/Oc/m5MnTzrMc/jwYdOzZ0/j4+NjateubUaOHGkuXbp0nVdTvEceecSEhYUZT09PU6dOHXP77bfbQ4wxlWedhbkyyFSWtT7wwAOmXr16xtPT09SvX9888MADDp+rUlnWme+jjz4yrVq1Ml5eXqZZs2bmrbfecuivTL+b1q5dayQVqN+YyrVds7OzzVNPPWVCQ0ONt7e3adiwoXn++ecdLhN3pe1qM+Z3H9UHAABgIZX6HBkAAFC5EWQAAIBlEWQAAIBlEWQAAIBlEWQAAIBlEWQAAIBlEWQAAIBlEWQAAIBlEWQAVKjw8HBNmzatwp/nlltu0YIFCyr8eYqzZs0a3XjjjfbvpAFQ8QgyAEpk4MCBstlsstls9m/snjBhgn777bdiH7d9+3Y98cQTFVrbypUrlZ6ern79+tnbbDabli9fXmDswIED1bdvX/v91NRUPfjggwoODpa3t7caNGigPn366Pvvv3eYK/9WrVo1NWnSRAMHDnT4QjxJuuuuu+Th4aH58+eX+xoBFI4gA6DE7rrrLp08eVIHDhzQyJEjNW7cOL322muFjr148aIkqU6dOqpatWqF1jV9+nQNGjSowDf2Xs2lS5d0xx13KCsrSx9++KH27dunRYsWqXXr1srMzHQYO2fOHJ08eVJ79uzRjBkzdPbsWUVGRur99993GDdw4EBNnz79WpcEoIQIMgBKzMvLS0FBQQoLC9PgwYMVHR2tlStXSvr/ezomTpyo4OBgNW3aVFLBQ0uZmZn629/+psDAQHl7e6tVq1b6+OOP7f2bNm1St27d5OPjo5CQEA0dOlTnzp0rsqZTp04pKSlJvXv3LvV69uzZo0OHDmnmzJnq3LmzwsLC1KVLF7300kvq3Lmzw9iAgAAFBQUpPDxcd955p5YuXaoBAwYoISFBv/zyi31c7969tWPHDh06dKjU9QAoPYIMgDLz8fGx73mRpMTERO3bt0/r1693CCf58vLy1LNnT3355ZeaN2+e9u7dq8mTJ6tKlSqSpEOHDumuu+5SbGysvvnmGy1atEibNm1SQkJCkTVs2rRJVatWVfPmzUtdf506deTm5qalS5cqNze31I8fPny4zpw5o/Xr19vbQkNDFRgYqC+++KLU8wEoPXdnFwDAeowxSkxM1Nq1azVkyBB7e7Vq1fSf//xHnp6ehT7u008/1bZt2/Tdd9/phhtukCQ1bNjQ3j9p0iQNGDBAw4YNkyQ1adJE06dPV/fu3TVr1ix5e3sXmPPIkSMKDAws9WElSapfv76mT5+uZ555RuPHj1fHjh112223acCAAQ51FaVZs2aSpMOHDzu0BwcH68iRI6WuB0DpsUcGQIl9/PHH8vX1lbe3t3r27KkHHnhA48aNs/e3bt26yBAjSbt27VKDBg3sIeZKu3fv1ty5c+Xr62u/xcTEKC8vT6mpqYU+5vz584UGnJKKj49XWlqa5s+fr6ioKC1ZskQtW7Z02MtSFGOMpMsnA/+ej4+Pfv311zLXBKDk2CMDoMRuu+02zZo1S56engoODpa7u+OvkGrVqhX7eB8fn2L7z549q7/97W8aOnRogb7Q0NBCH1O7dm2Hc1TyVa9eXVlZWQXaMzMz5e/vX2Bs79691bt3b7300kuKiYnRSy+9pDvuuKPYer/77jtJUkREhEP76dOnVadOnWIfC6B8sEcGQIlVq1ZNjRs3VmhoaIEQUxJt2rTRjz/+qP379xfa3759e+3du1eNGzcucCtqT0+7du2UlpZWIMw0bdq0wOXRubm52r17d5F7hKTLe1eaNWtW7AnG+aZNmyY/Pz9FR0fb2y5cuKBDhw6pXbt2V308gGtHkAFw3XTv3l233HKLYmNjtX79eqWmpmr16tVas2aNJOnZZ5/VV199pYSEBO3atUsHDhzQihUrij3Zt127dqpdu7a+/PJLh/YRI0boP//5j2bOnKkDBw5o165deuKJJ/TLL7/osccek3T5UFefPn20dOlS7d27VwcPHtQ777yjd999V3369HGYLzMzU2lpaTpy5IjWr1+v++67TwsWLNCsWbMUEBBgH7dlyxZ5eXkpKiqqnF41AMXh0BKA6+p///uf/vGPf6h///46d+6cGjdurMmTJ0u6vMdm48aNev7559WtWzcZY9SoUSM98MADRc5XpUoVDRo0SPPnz9fdd99tb+/fv7+MMZoyZYpGjRqlqlWrqkOHDvr8888VGBgoSWrQoIHCw8M1fvx4HT58WDabzX5/+PDhDs8zaNAgSZK3t7fq16+vrl27atu2bWrfvr3DuP/+978aMGBAhX92DoDLbCb/bDUAsKi0tDS1bNlSO3fuVFhYmNPq+Omnn9S0aVPt2LGjwHkzACoGh5YAWF5QUJDeeecdHT161Kl1HD58WDNnziTEANcRe2QAAIBlsUcGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABYFkEGAABY1v8D2Oh5CItY/rIAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(airbnb[\"price\"], airbnb[\"number_of_reviews\"])\n",
        "\n",
        "# Add labels and title\n",
        "plt.xlabel(\"Price (USD)\")\n",
        "plt.ylabel(\"Number of Reviews\")\n",
        "plt.title(\"Relationship Between Airbnb Listing Price and Number of Reviews\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "pAbsjB7SgIBq",
        "outputId": "f755dc6a-1f3e-4a5a-f590-5b1a3ceb2a5b"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.boxplot(x=\"room_type\", y=\"number_of_reviews\", data=airbnb)\n",
        "\n",
        "# Add labels and title\n",
        "plt.xlabel(\"Room Type\")\n",
        "plt.ylabel(\"Number of Reviews\")\n",
        "plt.title(\"Distribution of Airbnb Listing Reviews by Room Type\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "FkFOst5GgSS2",
        "outputId": "80368468-688e-46ac-a65d-76792047ad40"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "H1j3IgYCgx9e"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}