customer.ipynb

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      "cell_type": "markdown",
      "source": [
        "# Customer Segmentation\n"
      ],
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        "id": "j5kdZOjctYWt"
      }
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    {
      "cell_type": "markdown",
      "source": [
        "Life cycle of Customer Segmentation Project\n",
        "\n",
        "* Understanding the Problem Statement\n",
        "* Data Collection\n",
        "* Data Checks to perform\n",
        "* Exploratory data analysis\n",
        "* Clustring analysis\n",
        "* Choose optimal hyperparameters\n",
        "* Visulization and interpretation"
      ],
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    {
      "cell_type": "markdown",
      "source": [
        "### Understanding the Problem Statement"
      ],
      "metadata": {
        "id": "M1an1-DMuK_P"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Objective: Analyze the customer dataset using unsupervised learning techniques to identify customer segments and provide recommendations for targeted marketing strategies."
      ],
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      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data Collection"
      ],
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      "source": [
        "Dataset: The provided dataset can be found on Kaggle - Mall Customer Segmentation Data. It contains information about mall customers, including: \n",
        "\n",
        "Link:- https://www.kaggle.com/datasets/vjchoudhary7/customer-segmentation-tutorial-in-python \n",
        "\n",
        "* The dataset consists of 5 column and 200 rows."
      ],
      "metadata": {
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    {
      "cell_type": "markdown",
      "source": [
        "#### 2.1 Import Data and Required Packages\n",
        "##### Importing Pandas, Numpy, Matplotlib, Seaborn and Warings Library."
      ],
      "metadata": {
        "id": "9IFcM2X7uunI"
      }
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    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ],
      "metadata": {
        "id": "luYX-9cSuaQm"
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      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Data Checks to perform"
      ],
      "metadata": {
        "id": "O2nYTvZGvQdt"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Import the CSV Data as Pandas DataFrame"
      ],
      "metadata": {
        "id": "BjBUDvuCu1ZP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"/content/Mall_Customers.csv\")"
      ],
      "metadata": {
        "id": "IAT9fHPmPz2n"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Show the top 5 Recoreds"
      ],
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        "id": "84oB4kzOu4TG"
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      "cell_type": "code",
      "source": [
        "df.head()"
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          "data": {
            "text/plain": [
              "   CustomerID  Gender  Age  Annual Income (k$)  Spending Score (1-100)\n",
              "0           1    Male   19                  15                      39\n",
              "1           2    Male   21                  15                      81\n",
              "2           3  Female   20                  16                       6\n",
              "3           4  Female   23                  16                      77\n",
              "4           5  Female   31                  17                      40"
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              "(200, 5)"
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            "text/plain": [
              "       CustomerID         Age  Annual Income (k$)  Spending Score (1-100)\n",
              "count  200.000000  200.000000          200.000000              200.000000\n",
              "mean   100.500000   38.850000           60.560000               50.200000\n",
              "std     57.879185   13.969007           26.264721               25.823522\n",
              "min      1.000000   18.000000           15.000000                1.000000\n",
              "25%     50.750000   28.750000           41.500000               34.750000\n",
              "50%    100.500000   36.000000           61.500000               50.000000\n",
              "75%    150.250000   49.000000           78.000000               73.000000\n",
              "max    200.000000   70.000000          137.000000               99.000000"
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              "      <th>CustomerID</th>\n",
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              "      <td>200.000000</td>\n",
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              "      <td>200.000000</td>\n",
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              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>100.500000</td>\n",
              "      <td>38.850000</td>\n",
              "      <td>60.560000</td>\n",
              "      <td>50.200000</td>\n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>57.879185</td>\n",
              "      <td>13.969007</td>\n",
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              "      <td>25.823522</td>\n",
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              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>1.000000</td>\n",
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              "      <th>25%</th>\n",
              "      <td>50.750000</td>\n",
              "      <td>28.750000</td>\n",
              "      <td>41.500000</td>\n",
              "      <td>34.750000</td>\n",
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              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>100.500000</td>\n",
              "      <td>36.000000</td>\n",
              "      <td>61.500000</td>\n",
              "      <td>50.000000</td>\n",
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              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>150.250000</td>\n",
              "      <td>49.000000</td>\n",
              "      <td>78.000000</td>\n",
              "      <td>73.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>200.000000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>137.000000</td>\n",
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      "source": [
        "##### Insight\n",
        "* From above description of numerical data, all means are very close to each other - between 38 and 60\n",
        "* All standard deviations are also close - between 14 and 26.26\n",
        "* While there is a minimum score 18 for Age, for Annual Income (k$) min score is 15 and for Spending Score (1-100) min score is 1"
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            "text/plain": [
              "CustomerID                 int64\n",
              "Gender                    object\n",
              "Age                        int64\n",
              "Annual Income (k$)         int64\n",
              "Spending Score (1-100)     int64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Check Missing values"
      ],
      "metadata": {
        "id": "FKjQAIlHFPvg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m3_NUH_4QXaK",
        "outputId": "16f5356f-1cba-4d94-d7bd-92633e4cadc9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "CustomerID                0\n",
              "Gender                    0\n",
              "Age                       0\n",
              "Annual Income (k$)        0\n",
              "Spending Score (1-100)    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "There are no missing values in the dataset"
      ],
      "metadata": {
        "id": "t9Whzbq9FSb4"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "In the dataset CustomerID is not use for build the clustering model.\n",
        "we remove that column"
      ],
      "metadata": {
        "id": "9MvpLw1_FaH3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.drop(['CustomerID'],axis=True,inplace=True)"
      ],
      "metadata": {
        "id": "uha77zjuQdY9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "d-zfXV-rQrlR",
        "outputId": "3da3a603-8220-43f0-93ae-ff96b53adccb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Gender  Age  Annual Income (k$)  Spending Score (1-100)\n",
              "0    Male   19                  15                      39\n",
              "1    Male   21                  15                      81\n",
              "2  Female   20                  16                       6\n",
              "3  Female   23                  16                      77\n",
              "4  Female   31                  17                      40"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8a0bdf90-39c7-4d0b-b027-fd93c6ff53ea\">\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",
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              "\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>Gender</th>\n",
              "      <th>Age</th>\n",
              "      <th>Annual Income (k$)</th>\n",
              "      <th>Spending Score (1-100)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Male</td>\n",
              "      <td>19</td>\n",
              "      <td>15</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Male</td>\n",
              "      <td>21</td>\n",
              "      <td>15</td>\n",
              "      <td>81</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Female</td>\n",
              "      <td>20</td>\n",
              "      <td>16</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Female</td>\n",
              "      <td>23</td>\n",
              "      <td>16</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Female</td>\n",
              "      <td>31</td>\n",
              "      <td>17</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8a0bdf90-39c7-4d0b-b027-fd93c6ff53ea')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8a0bdf90-39c7-4d0b-b027-fd93c6ff53ea 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-8a0bdf90-39c7-4d0b-b027-fd93c6ff53ea');\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": "markdown",
      "source": [
        "### Exploratory data analysis"
      ],
      "metadata": {
        "id": "B0g2vVxLG9dn"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Distribution plot"
      ],
      "metadata": {
        "id": "Yauf5ylbG_Av"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(15,6))\n",
        "n=0\n",
        "for i in [\"Age\",\t\"Annual Income (k$)\",\t\"Spending Score (1-100)\"]:\n",
        "  n+=1\n",
        "  plt.subplot(1, 3, n)\n",
        "  plt.subplots_adjust(hspace=0.5, wspace=0.5)\n",
        "  sns.distplot(df[i], bins=20)\n",
        "  plt.title(\"Distplot of {}\".format(i))\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 523
        },
        "id": "tfksDzwXQtNu",
        "outputId": "3fae6888-b59b-47b5-b96c-4605fd258d82"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* In Age column most of the data is in between 20-45 \n",
        "* In the Annual income most of the data points are in between 50-100 \n",
        "* In the spending score most of the data are in 40-60 "
      ],
      "metadata": {
        "id": "D0McEYD0HSLZ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Bar graph\n"
      ],
      "metadata": {
        "id": "KoS6-ToWIBn4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(14,6))\n",
        "sns.countplot(y='Gender',data=df)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "id": "Eq0-gwSERRWX",
        "outputId": "47896167-503a-4c7e-d8cd-22c9dc525117"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##### Insights\n",
        "* From the Age column most of the females are higher then the male customers"
      ],
      "metadata": {
        "id": "xBIi-rohIGcH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Violinplot\n"
      ],
      "metadata": {
        "id": "h82WSXi6IacH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(15,6))\n",
        "n=0\n",
        "for i in [\"Age\",\t\"Annual Income (k$)\",\t\"Spending Score (1-100)\"]:\n",
        "  n+=1\n",
        "  plt.subplot(1, 3, n)\n",
        "  sns.set(style=\"whitegrid\")\n",
        "  plt.subplots_adjust(hspace=0.5,wspace=0.5)\n",
        "  sns.violinplot(x = i ,y= 'Gender',data=df)\n",
        "  plt.ylabel('Gender' if n ==1 else '')\n",
        "  plt.title(\"Violin plot \")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 527
        },
        "id": "JGWYNeTlUJwq",
        "outputId": "7ba90b13-5e17-44de-80b1-c471e607a3e9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x600 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* Age column most of the females are highly distributed in 20-45 range and males also 24-44 \n",
        "* In Annual income column females are highly distributed in 45-100 and male persons $ 60-120 \n",
        "* In spending score column females are highly distributed in 45-60 and male persons 44-56"
      ],
      "metadata": {
        "id": "IM6pLdpsIvT3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Barplot\n",
        "* In the age column seperate the ranges wise values are seperated and plot the barplot"
      ],
      "metadata": {
        "id": "XKmXu82xKPF2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "age_18_25 = df.Age[(df.Age >= 18) & (df.Age <= 25)]\n",
        "age_26_35 = df.Age[(df.Age >= 26) & (df.Age <= 35)]\n",
        "age_38_45 = df.Age[(df.Age >= 36) & (df.Age <= 45)]\n",
        "age_46_55 = df.Age[(df.Age >= 46) & (df.Age <= 55)]\n",
        "age_55_above = df.Age[(df.Age >= 56)]\n",
        "\n",
        "ages_range = [\"18-25\",\"26-35\",\"36-45\",\"46_55\",\"55+\"]\n",
        "ages_len = [len(age_18_25.values),len(age_26_35.values),len(age_38_45.values),len(age_46_55.values),len(age_55_above.values),]\n",
        "\n",
        "plt.figure(figsize=(15,6))\n",
        "sns.barplot(x=ages_range, y= ages_len, palette=\"mako\")\n",
        "plt.title(\"Number of Customer and Ages\")\n",
        "plt.xlabel(\"Age\")\n",
        "plt.ylabel(\"Number of Custmers\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 538
        },
        "id": "M-Hu_Di1VQEq",
        "outputId": "d285aca3-67b4-41b8-b5a9-6f9c4be8ee00"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x600 with 1 Axes>"
            ],
            "image/png": 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f88aNG2fgwIEZOHBglixZkh/+8Ie58cYbc8IJJ2TLLbdcYTC69DqmT59e+fVMkoULF+b111+vsa9ry5Yts8EGG2TJkiU1/r266667su6662bChAlVFvy/+eabC43XsmXLrLfeesv8/CVZ7s/Ep5VKpUyePDl9+vRZ7ptnL7300kyePLkyWGvTps1yz/Xaa69V2V76/dl4442r9TXcYostcvTRR+foo4/OK6+8kgMOOCBXXnllfvGLX6z0WADg/7HGGgBQLVtssUX222+/3HjjjXnnnXeqtDVt2jQbbbRRnnzyySr7r7/++jVWzx//+MfKdcmS5M4778w777xT+Yhjt27dssUWW+TKK6/M/Pnzlzn+048WropddtklzzzzTP7xj39U7luwYEEmTpyYNm3apFOnTqs8Zu/evTNgwIDcdNNNueeee5ZpX7hwYZU7zNq1a5fp06dXuY7nn38+f//736sc9/7771fZbtCgQWX4uPSxyCZNmiT55NHY//aVr3wljRo1yjXXXFPljq0//OEPmTdvXnbZZZdVvs7ladiwYfbaa6/cddddefHFF5dpX53vVcOGDVNWVlblTr7XX389f/nLXwqPt9NOO+Wee+6pEmK+/PLL+dvf/rbS45966qm88cYbOeigg7L33nsv82efffbJY489llmzZiVJdtppp/zzn//M1KlTK8f44IMPMnny5CrjDhgwIE2bNs0VV1yRioqKZc679GtYXl6ejz/+uErbFltskQ022KDKY7IAQPW4Yw0AqLbjjjsut912W2bMmJEvfelLVdqGDh2acePG5fvf/366deuWJ598slp38BTVvHnzDBs2LAcddFDee++9XHXVVdlyyy1z6KGHJvkkQDrnnHNyzDHHZMiQITnooIPSunXrzJo1K4899liaNm2ayy+/vNC5jz322Nx+++055phjMnz48DRv3jx//OMf8/rrr+eiiy5a7mOu1XH++efn6KOPzqhRo7LbbrulX79+adKkSV599dVMmTIlb7/9duWacYccckh+97vfZeTIkTnkkEPy3nvv5YYbbkinTp2qBIk/+MEPMmfOnPTt2zetW7fOm2++mWuvvTbbbLNNOnbsmCTZZptt0rBhw4wfPz7z5s1L48aN07dv32y88cb51re+lYsvvjjf/OY3M3DgwMyYMSPXX399unfvnv3226/QdS7Pd77znTz22GM59NBDM3To0HTq1Clz5szJc889l0ceeSSPP/54oXF32WWX/Pa3v803v/nNDBkyJO+9916uv/76bLHFFnnhhRcKjTl69Og8+OCDOfLII3PEEUdk8eLFufbaa9OpU6eVjjl58uQ0bNgwu+6663LbBw4cmF/96leZMmVKvvGNb+Sb3/xmJk2alG984xs56qijsv766+emm27KZpttlg8++KDybsOmTZvmhz/8Yb773e/moIMOyj777JOWLVvmzTffzP33358vf/nLOeuss/LKK6/k61//evbee+906tQpDRs2zD333JN33323yosnAIDqEawBANW25ZZbZr/99sutt966TNuJJ56Y2bNn56677sodd9yRnXfeOb/5zW/Sr1+/NVLLcccdlxdeeCHjxo3L/Pnz069fv5x99tmVd18lnywGf+ONN+bSSy/NtddemwULFqRVq1bp0aNHDjvssMLn3mSTTXLDDTfk5z//ea699tp8/PHH6dKlSy6//PIVBibV0bJly9xwww25/vrrM2XKlPzqV79KRUVF2rRpk4EDB2bEiBGVfTt27Jif/exnufDCC3PuueemU6dOOf/88/OnP/2pSgi1dG2866+/PnPnzk2rVq0yaNCgjB49ujIAbNWqVcaOHZsrrrgi3//+97N48eJcffXV2XjjjTN69Oi0bNky1157bc4999w0b948hx56aL797W+nUaNGha/10zbZZJPcdNNNueSSS/LnP/85v//979OiRYt06tQpp556auFx+/Xrl5/85CcZP358fvrTn6Zt27Y59dRT88YbbxQO1rbeeutMmDAh5557bi688MJsuummGT16dN55553PHLOioiJ33nlnevfunRYtWiy3T+fOndO2bdvKMG2zzTbL1VdfnXPOOSdXXHFFWrZsmSOPPDJNmjTJOeecU2VdwH333Tf/8z//k3HjxmXChAlZuHBhWrdune233z4HHXRQkk9eMDF48OA88sgjmTRpUho2bJgOHTrk17/+dfbaa69CXw8AWJuVlWpyJVYAAGCN+8lPfpIbb7wx//jHP1b4wgUAYM2zxhoAANRhH330UZXt999/P5MmTcp2220nVAOAWuZRUAAAqMMOO+yw7LjjjunYsWPefffd3Hzzzfnwww9zwgkn1HZpALDW8ygoAADUYf/3f/+Xu+66K2+99VbKysrStWvXjBo1Kl/5yldquzQAWOsJ1gAAAACgAGusAQAAAEABgjUAAAAAKMDLC5L84x//SKlUSqNGjWq7FAAAAABqWUVFRcrKytK7d+/P7CdYS1IqlWKpOQAAAACSVDsnEqwllXeqde/evZYrAQAAAKC2/etf/6pWP2usAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIAC6mSwduutt+aAAw5I9+7d06dPn3zzm9/MRx99VNl+7733Zr/99kv37t2z11575eabb67FagEAAABYG61T2wV82mWXXZbx48fnuOOOS69evfL+++/nkUceyeLFi5MkTz75ZEaNGpVDDjkkZ5xxRh599NF8//vfzwYbbJC99967lqsHAAAAYG1RViqVSrVdxFLTp0/Pvvvum0svvTS77LLLcvuMHDky8+fPzw033FC57zvf+U6mTp2aKVOmFDrvv/71ryRJ9+7dCx0PAAAAwBdHdbOiOvUo6C233JK2bduuMFRbuHBhHnvssWXuTNtnn33y8ssv5/XXX/88ygQAAACAuhWsPf300+ncuXMuvfTS9OvXL926dcvhhx+ep59+Okny2muvpaKiIh06dKhyXMeOHZN8cscbAAAAAHwe6tQaa++8806effbZvPjiizn77LPTpEmTXH755Tn66KNz9913Z86cOUmSZs2aVTlu6fbS9iJKpVIWLFhQvHig3iorK6vtEuBzUYdWfwAAgDqtVCpV69+KdSpYWxpuXXDBBdl6662TJD179szAgQNz7bXXZqeddlpj566oqMjUqVPX2PhA3dSoUaN07bpt1lmnYW2XAmvUokWL8+9/P5eKioraLgUAAOqFxo0br7RPnQrWmjVrlhYtWlSGaknSokWLdO3aNdOmTcvgwYOTJPPmzaty3Ny5c5MkzZs3L3zuRo0apVOnToWPB+qnsrKyrLNOw5z/qz9m5uvv1XY5sEa0a7txvjvmgHzpS19y1xoAAFTDtGnTqtWvTgVrnTp1ymuvvbbcto8//jhbbLFFGjVqlOnTp2fAgAGVbUvXVvv02muroqysLOuvv37h44H6bebr7+Xl6W/VdhmwRjVp0qS2SwAAgHqhuksG1amXF+y222754IMPqjyS+f777+e5557Ltttum8aNG6dPnz656667qhw3ZcqUdOzYMW3btv28SwYAAABgLVWn7ljbY4890r1795x00kkZM2ZM1l133YwbNy6NGzfOsGHDkiTHH398RowYkR/+8IcZNGhQHnvssfzpT3/Kr371q1quHgAAAIC1SZ26Y61BgwYZN25cevXqlbPOOivf/va307Rp01x33XVp1apVkmT77bfPRRddlKeeeiojR47Mn/70p5xzzjkZNGhQLVcPAAAAwNqkTt2xliQtW7bMz3/+88/ss/vuu2f33Xf/nCoCAAAAgGXVqTvWAAAAAKC+EKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoIA6Fazdcsst6dKlyzJ/fvGLX1Tpd9NNN2WvvfZK9+7ds99+++W+++6rpYoBAAAAWFutU9sFLM9vfvObbLjhhpXbrVu3rvz77bffnjPPPDPHHXdc+vbtmylTpmTUqFG57rrr0qtXr1qoFgAAAIC1UZ0M1rbddtu0bNlyuW0XXnhhBg8enFNOOSVJ0rdv37z44ou55JJLMn78+M+xSgAAAADWZnXqUdCVmTlzZl555ZUMGjSoyv599tknjzzySBYuXFhLlQEAAACwtqmTd6wNGTIk77//fjbffPMceuih+eY3v5mGDRtm+vTpSZL27dtX6d+xY8dUVFRk5syZ6dixY6FzlkqlLFiwYLVrB+qXsrKyNGnSpLbLgM9FeXl5SqVSbZcBAAB1XqlUSllZ2Ur71algrVWrVhk9enR69uyZsrKy3Hvvvfn1r3+dWbNm5ayzzsqcOXOSJM2aNaty3NLtpe1FVFRUZOrUqcWLB+qlJk2apGvXrrVdBnwuZsyYkfLy8touAwAA6oXGjRuvtE+dCtYGDBiQAQMGVG7vtNNOWXfddXPVVVfluOOOW6PnbtSoUTp16rRGzwHUPdX5BAK+KNq3b++ONQAAqIZp06ZVq1+dCtaWZ9CgQbnyyiszderUNG/ePEkyb968tGrVqrLP3Llzk6SyvYiysrKsv/76q1csANRhHnsGAIDqqe5NGPXq5QUdOnRIksq11paaPn16GjVqlHbt2tVGWQAAAACshep8sDZlypQ0bNgwXbt2Tbt27bLVVlvlzjvvXKZPv379qvXsKwAAAADUhDr1KOjIkSPTp0+fdOnSJUnyl7/8JRMnTsyIESMqH/0cPXp0Tj311GyxxRbp06dPpkyZkmeeeSbXXnttbZYOAAAAwFqmTgVr7du3z80335y33norS5YsyVZbbZUzzjgjw4cPr+wzZMiQlJeXZ/z48Rk3blzat2+fiy++OL17967FygEAAABY29SpYO0HP/hBtfoNHTo0Q4cOXcPVAAAAAMCK1fk11gAAAACgLhKsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUUCtamTp2aP/3pT1X2PfjggznyyCMzdOjQXHXVVTVSHAAAAADUVYWCtZ///OeZMmVK5fbMmTMzatSovP7660mS8847LzfeeGPNVAgAAAAAdVChYO3555/PdtttV7l92223pUGDBrn11ltz0003Za+99soNN9xQY0UCAAAAQF1TKFibN29eWrRoUbl9//33p3///mnZsmWSpH///nn11VdrpEAAAAAAqIsKBWutWrXKyy+/nCR5++2389xzz6V///6V7fPnz0+DBt6LAAAAAMAX1zpFDtp9991z7bXXZuHChXn66afTuHHj7LnnnpXtL7zwQtq1a1djRQIAAABAXVMoWDvllFMye/bs3Hbbbdlwww1z7rnnZpNNNkmSfPjhh7nzzjtz5JFH1mihAAAAAFCXFArWNthgg/zyl79cbtv666+fBx54IOutt95qFQYAAAAAddkqL4RWXl6ePn36ZMKECcsfsEGDbLjhhmnUqNFqFwcAAAAAddUqB2tNmjRJw4YN3ZEGAAAAwFqt0Ks7v/rVr+auu+5KqVSq6XoAAAAAoF4otMba4MGDM3bs2IwYMSJDhw5NmzZtlnsH27bbbrvaBQIAAABAXVQoWBs+fHjl35988sll2kulUsrKyjJ16tTilQEAAABAHVYoWDv33HNrug4AAAAAqFcKBWsHHnhgTdcBAAAAAPVKoZcX/Le33347zz//fBYsWFAT9QAAAABAvVA4WLvnnnuy9957Z5dddsmBBx6Yp59+Okkye/bsHHDAAfnzn/+8WoXNnz8/O++8c7p06ZJ//etfVdpuuumm7LXXXunevXv222+/3Hfffat1LgAAAABYVYWCtXvvvTejR4/ORhttlBNPPDGlUqmyrWXLlmndunVuueWW1Srs0ksvzeLFi5fZf/vtt+fMM8/MoEGDMn78+PTq1SujRo3KP//5z9U6HwAAAACsikLB2iWXXJLtt98+v//973PkkUcu096rV6/VeiPoyy+/nOuvvz6jR49epu3CCy/M4MGDc8opp6Rv37750Y9+lO7du+eSSy4pfD4AAAAAWFWFgrWXXnopgwYNWmH7Jptskvfee69wUeecc04OP/zwtG/fvsr+mTNn5pVXXlnm3Pvss08eeeSRLFy4sPA5AQAAAGBVFArWmjRpkvLy8hW2z5w5My1atChU0J133pkXX3wxJ5544jJt06dPT5JlAreOHTumoqIiM2fOLHROAAAAAFhV6xQ5qE+fPvnjH/+Yr33ta8u0vfPOO5k4cWJ22223VR63vLw85513XsaMGZOmTZsu0z5nzpwkSbNmzarsX7q9tL2IUqnkzaawFiorK0uTJk1quwz4XJSXl1dZFxUAAFi+UqmUsrKylfYrFKydcsopOeyww3LIIYdk7733TllZWf72t7/l0UcfzY033phSqbTcO85W5rLLLsvGG2+cgw8+uEhZq6WiomK11oUD6qcmTZqka9eutV0GfC5mzJjxmXecAwAA/0/jxo1X2qdQsNahQ4dcf/31+clPfpILLrggpVIpEyZMSJLsuOOOOfvss9O2bdtVGvONN97IlVdemUsuuSTz5s1Lkso7yBYsWJD58+enefPmSZJ58+alVatWlcfOnTs3SSrbi2jUqFE6depU+HigfqrOJxDwRdG+fXt3rAEAQDVMmzatWv0KBWtJ8qUvfSm/+93vMmfOnLz66qsplUpp165dWrZsWWi8119/PRUVFTn22GOXaRsxYkR69uyZX/7yl0k+WWutQ4cOle3Tp09Po0aN0q5du2IXk0/+cb3++usXPh4A6jqPPQMAQPVU9yaMwsHaUs2bN0+PHj1Wd5hss802ufrqq6vsmzp1as4999yMHTs23bt3T7t27bLVVlvlzjvvzB577FHZb8qUKenXr1+1btEDAAAAgJqwWsHaE088kZkzZ2bu3LnLPFpSVlaWr3/969Ueq1mzZunTp89y27bddttsu+22SZLRo0fn1FNPzRZbbJE+ffpkypQpeeaZZ3LttdcWvg4AAAAAWFWFgrWpU6fmlFNOyWuvvbbCtVpWNVirriFDhqS8vDzjx4/PuHHj0r59+1x88cXp3bt3jZ8LAAAAAFakULD2/e9/P7Nnz87YsWPTo0ePbLjhhjVdV5KkT58+eeGFF5bZP3To0AwdOnSNnBMAAAAAqqNQsDZt2rScdNJJOfTQQ2u6HgAAAACoFxoUOWjLLbes9tsRAAAAAOCLqFCwNnr06Fx33XWZNWtWTdcDAAAAAPVCoUdBv/rVr+bjjz/O3nvvnb59+2bTTTdNw4YNl+n3gx/8YLULBAAAAIC6qFCw9vjjj+eHP/xhysvLc9999y23T1lZmWANAAAAgC+sQsHaj3/84zRt2jQXXnhhevbsmaZNm9Z0XQAAAABQpxVaY+21117LyJEj079/f6EaAAAAAGulQsFap06dMm/evJqu5Qtr8eLFtV0CrHF+zgEAAFjbFHoU9LTTTsupp56aAQMGpEePHjVd0xdOw4YN84NTf5IZ01+r7VJgjWjfYYuc84vv13YZAAAA8LkqFKxdeeWV2WCDDXLYYYelU6dO2WyzzdKgQdWb38rKynLZZZfVSJFfBDOmv5YX/v1SbZcBAAAAQA0pFKy9+OKLSZLNNtss8+fPz7Rp02q0KAAAAACo6woFa/fee29N1wEAAAAA9Uqhlxc88cQTmT179grbZ8+enSeeeKJwUQAAAABQ1xUK1kaMGJGHHnpohe2PPvpoRowYUbgoAAAAAKjrCgVrpVLpM9sXLlyYhg0bFioIAAAAAOqDaq+x9uabb+aNN96o3J4+ffpyH/ecO3dubrjhhmy++eY1UyEAAFAnLV6yJA0bFPqsHuoNP+fAZ6l2sHbLLbfk4osvTllZWcrKynL55Zfn8ssvX6ZfqVRKw4YNM3bs2BotFAAAqFsaNmiQn/31/sz8YE5tlwJrRLsWzXParrvUdhlAHVbtYG3QoEH50pe+lFKplFNOOSXDhw/P9ttvX6VPWVlZmjRpkm222SabbLJJjRcLAADULTM/mJNp771X22UAQK2odrDWsWPHdOzYMUly7rnnZvvtt0+7du3WWGEAAAAAUJdVO1j7bwceeOBy98+cOTMLFy6sDOAAAAAA4Iuq0AqM11xzTcaMGVNl3/e+97189atfzZAhQ3LQQQflPbeDAwAAAPAFVihYmzhxYjbeeOPK7QcffDC33nprDj300PzgBz/I66+/nosvvrjGigQAAACAuqbQo6Bvvvlmlcc977jjjrRt27byTaDvvvtubrvttpqpEABYay1esiQNGxT6HBDqDT/nAFB/FQrWSqVSle2HHnoou+++e+V2mzZt8u67765eZQDAWq9hgwb56Q1/zmtvv1/bpcAascX/bJQzDt+ztssAAAoqFKxttdVWueeee3LEEUfkwQcfzNtvv52dd965sv2tt95Ks2bNaqxIAGDt9drb72famz6wAwCg7ikUrI0cOTLf+c53ssMOO6S8vDwdO3bMTjvtVNn+2GOPZeutt66xIgEAAACgrikUrA0ePDgtWrTI/fffn2bNmmXYsGFZZ51Phvrggw/SvHnz7L///jVaKAAAAADUJYWCtSTp379/+vfvv8z+Fi1aeCMoAAAAAF94Xj8EAAAAAAUUumNt4MCBKSsr+8w+ZWVlueeeewoVBQAAAAB1XaFgbccdd1wmWFu8eHHefPPN/P3vf8+XvvSldO3atUYKBAAAAIC6qFCwdt55562w7fnnn8/IkSOz7777Fi4KAAAAAOq6Gl9jbeutt85hhx2WX/ziFzU9NAAAAADUGWvk5QUbb7xxpk2btiaGBgAAAIA6ocaDtffffz8333xzNt1005oeGgAAAADqjEJrrI0YMWK5++fNm5fp06enoqIi559//moVBgAAAAB1WaFgrVQqLbOvrKwsbdu2Tb9+/XLwwQenY8eOq10cAAAAANRVhYK1a665pqbrAAAAAIB6ZY28vAAAAAAAvuiqHay98sor6d69+0rXTvvZz36WHj16ZObMmatdHAAAAADUVdUO1q655pq0atUqY8aM+cx+Y8aMySabbOJxUQAAAAC+0KodrP3tb3/LPvvsk0aNGn1mv8aNG2fw4MF54IEHVrs4AAAAAKirqh2s/ec//0n79u2r1XfLLbfMm2++WbgoAAAAAKjrqh2sNW7cOAsWLKhW3/Ly8pXe2QYAAAAA9Vm1g7UOHTrk4YcfrlbfRx55JB07dixcFAAAAADUddUO1vbZZ5/89a9/zT333POZ/e6555789a9/zT777LPaxQEAAABAXbVOdTsOGzYskyZNysknn5xDDjkk++23X7p06ZINNtgg8+fPzwsvvJBJkyblD3/4Q7beeusMGzZsTdYNAAAAALWq2sFa48aNM2HChJx++um58cYbM3HixGX6lEqlDBgwID/72c/SuHHjGi0UAAAAAOqSagdrSbLRRhvliiuuyDPPPJO//OUvmT59ej788MM0bdo0HTp0yG677ZZevXqtoVIBAAAAoO5YpWBtqR49eqRHjx41XQsAAAAA1BvVfnkBAAAAAPD/CNYAAAAAoADBGgAAAAAUIFgDAAAAgAKqFaxdffXVmTFjxpquBQAAAADqjWoFa+eee26effbZyu1tttkmkydPXmNFAQAAAEBdV61grVmzZnnvvfcqt0ul0horCAAAAADqg3Wq06lPnz656KKLMnXq1Gy44YZJkj/+8Y95+umnP/O4H/zgB6tfIQAAAADUQdUK1s4+++z89Kc/zUMPPZT33nsvZWVleeihh/LQQw+t8JiysjLBGgAAAABfWNUK1jbeeOP88pe/rNzeeuut8/Of/zz77rvvGisMAAAAAOqyaq2x9mnnnntuevfuXdO15P77789RRx2Vvn37plu3btl9991z7rnnZt68eVX63Xvvvdlvv/3SvXv37LXXXrn55ptrvBYAAAAA+CzVumPt0w488MDKv0+bNi1vvPFGkqRNmzbp1KlT4WI++OCD9OjRI8OHD0+LFi3y0ksv5aKLLspLL72UK6+8Mkny5JNPZtSoUTnkkENyxhln5NFHH833v//9bLDBBtl7770LnxsAAAAAVkWhYC1J7rnnnpx33nmVodpSbdu2zemnn57dd999lcfcf//9q2z36dMnjRs3zplnnplZs2aldevWueyyy9KjR4/86Ec/SpL07ds3M2fOzIUXXihYAwAAAOBzU+hR0Pvvvz8nnXRSkmTMmDG5+OKLc/HFF2fMmDEplUoZPXp0HnjggRopsEWLFkmSioqKLFy4MI899tgyAdo+++yTl19+Oa+//nqNnBMAAAAAVqbQHWuXXnppunTpkuuuuy7rr79+5f7dd989Rx11VIYNG5ZLLrkkO++8c6GiFi9enEWLFmXatGm55JJLMnDgwLRt2zbTpk1LRUVFOnToUKV/x44dkyTTp09P27ZtC50TAAAAAFZFoWDthRdeyJgxY6qEakutv/76OfDAA/OrX/2qcFG77bZbZs2alSQZMGBA5RtJ58yZkyRp1qxZlf5Lt5e2F1EqlbJgwYLCx69IWVlZmjRpUuPjQl1UXl6eUqlU22WsEnOUtUl9m6PmJ2uT+jY/E3OUtUt9nKPA6imVSikrK1tpv0LB2rrrrvuZIdacOXOy7rrrFhk6STJu3LiUl5dn2rRpueyyy3Lcccflt7/9beHxqqOioiJTp06t8XGbNGmSrl271vi4UBfNmDEj5eXltV3GKjFHWZvUtzlqfrI2qW/zMzFHWbvUxzkKrL7GjRuvtE+hYK1Pnz65+uqrM2DAgPTu3btK29NPP51rrrkm/fv3LzJ0kmTrrbdOkvTu3Tvdu3fP/vvvnz//+c+VbxydN29elf5z585NkjRv3rzwORs1arRabzRdkeqkm/BF0b59+3r3SZ45ytqkvs1R85O1SX2bn4k5ytqlPs5RYPVMmzatWv0KBWv/+7//m8MPPzzDhg1Ljx490r59+ySfpPjPPPNMNt5445x66qlFhl5Gly5d0qhRo7z22msZOHBgGjVqlOnTp2fAgAGVfaZPn54ky6y9tirKysqW+2grUH0eB4G6zRyFusv8hLrNHIW1T3U/QCr0VtB27dpl0qRJGT58eObMmZMpU6ZkypQpmTNnTkaMGJHbbrutxl4i8PTTT6eioiJt27ZN48aN06dPn9x1111V+kyZMiUdO3b04gIAAAAAPjeF7lhLko033jhnnHFGzjjjjBorZtSoUenWrVu6dOmS9dZbL88//3wmTJiQLl26ZI899kiSHH/88RkxYkR++MMfZtCgQXnsscfypz/9abVelgAAAAAAq6pwsLYm9OjRI1OmTMm4ceNSKpXSpk2bDB06NCNHjqxcMG777bfPRRddlF//+tf5wx/+kM033zznnHNOBg0aVMvVAwAAALA2qVPB2rHHHptjjz12pf1233337L777p9DRQAAAACwfIXWWAMAAADqriXeYspaoC78nNepO9YAAACA1degrCy3vfxE3v1oXm2XAmvEJuttmP077lDbZQjWAAAA4Ivo3Y/mZdaCD2q7DPhCW+VHQcvLy3PQQQfl97///ZqoBwAAAADqhVUO1po0aZLXX389ZWVla6IeAAAAAKgXCr28YMCAAfnb3/5W07UAAAAAQL1RKFg74YQT8sorr+R///d/8+STT2bWrFn54IMPlvkDAAAAAF9UhV5eMHjw4CTJtGnT8qc//WmF/aZOnVqsKgAAAACo4woFayeeeKI11gAAAABYqxUK1kaPHl3TdQAAAABAvVJojbVPmzdvXhYvXlwTQwEAAABAvVA4WPvXv/6VkSNHpmfPnunTp08ef/zxJMns2bNz/PHH57HHHquxIgEAAACgrikUrP3973/PsGHD8uqrr2a//fbLkiVLKttatmyZDz/8MDfeeGONFQkAAAAAdU2hYO1Xv/pVOnbsmClTpmTMmDHLtPfp0ydPP/30ahcHAAAAAHVVoWDtX//6Vw466KA0btx4uW8Hbd26dd59993VLg4AAAAA6qpCwdo666xT5fHPT5s1a1bWX3/9wkUBAAAAQF1XKFjr2bNn7rrrruW2LViwILfcckt22GGH1SoMAAAAAOqyQsHaSSedlGeffTbHHntsHnjggSTJCy+8kJtuuikHHXRQZs+enRNOOKFGCwUAAACAuqTwHWvjxo3Lq6++mtNOOy1Jct555+XMM8/MkiVLMm7cuGy99dY1WigAAAAA1CXrFD2wX79+ueuuu/Lvf/87r776akqlUtq1a5du3bot94UGAAAAAPBFUjhYW6pr167p2rVrTdQCAAAAAPVG4WBt4cKFmThxYu6///688cYbSZI2bdpkl112ydChQ7PuuuvWWJEAAAAAUNcUCtbeeuutfOMb38iMGTPSqlWrbLnllkmS559/Pg8++GCuvfba/O53v8umm25ao8UCAAAAQF1RKFgbO3Zs3nzzzfz617/O3nvvXaXtjjvuyOmnn56xY8fmsssuq5EiAQAAAKCuKRSsPfroo/n617++TKiWJIMGDcq///3vXHvttatdHAAAAADUVQ2KHLTBBhukZcuWK2zfZJNNssEGGxQuCgAAAADqukLB2kEHHZRbb7015eXly7TNnz8/t9xySw4++ODVLg4AAAAA6qpqPQp69913V9neZptt8te//jWDBg3KAQccUPnygldeeSW33XZbmjdvni5dutR8tQAAAABQR1QrWDvppJNSVlaWUqmUJFX+fvnlly/T/6233sp3vvOd7LPPPjVYKgAAAADUHdUK1q6++uo1XQcAAAAA1CvVCtZ23HHHNV0HAAAAANQrhV5eAAAAAABru2rdsbY8Tz75ZG6++ea8/vrrmTNnTuWaa0uVlZVl0qRJq10gAAAAANRFhYK13/72tzn//POz7rrrpn379mnevHlN1wUAAAAAdVqhYG3ChAn58pe/nMsvvzwbbrhhTdcEAAAAAHVeoTXWysvLs++++wrVAAAAAFhrFQrW+vTpkxdffLGmawEAAACAeqNQsHbmmWfmkUceyYQJE/LBBx/UcEkAAAAAUPcVWmNts802y2GHHZbzzz8/v/jFL7LuuuumQYOqGV1ZWVmeeuqpGikSAAAAAOqaQsHaBRdckMsvvzytW7dOt27drLUGAAAAwFqnULB2ww03ZJdddsmll166zJ1qAAAAALA2KJSKVVRUZNdddxWqAQAAALDWKpSM7brrrnnyySdruhYAAAAAqDcKBWujRo3Kyy+/nB/+8Id59tlnM3v27HzwwQfL/AEAAACAL6pCa6ztvffeSZKpU6fmxhtvXGG/qVOnFqsKAAAAAOq4QsHaiSeemLKyspquBQAAAADqjULB2ujRo2u6DgAAAACoV7zWEwAAAAAKKHTH2sUXX7zSPmVlZTnxxBOLDA8AAAAAdV6NB2tlZWUplUqCNQAAAAC+0AoFa88///wy+5YsWZI33ngj119/fZ544omMHz9+tYsDAAAAgLqqxtZYa9CgQdq1a5fTTjstW265Zc4555yaGhoAAAAA6pw18vKCHXbYIffff/+aGBoAAAAA6oQ1Eqw9++yzadDAC0cBAAAA+OIqtMbaH//4x+Xunzt3bp588sncfffdGTp06OrUBQAAAAB1WqFg7fTTT19h20YbbZRjjz3WG0EBAAAA+EIrFKz95S9/WWZfWVlZmjVrlqZNm652UQAAAABQ1xUK1tq0aVPTdQAAAABAveINAwAAAABQQLXvWNt3331XaeCysrJMmjRplQsCAAAAgPqg2sFaixYtqtXv3XffzYwZM1JWVla0JgAAAACo86odrF1zzTWf2f7OO+9k/PjxufHGG9OwYcPst99+q1zMHXfckUmTJuW5557L3Llzs+WWW2b48OE5+OCDqwR1N910U37zm9/kzTffTPv27TNmzJjstttuq3w+AAAAACiq0MsL/tu7776bcePGZeLEiVm0aFH23XffHH/88dliiy1Weazf/e53adOmTU4//fRstNFGefjhh3PmmWfmrbfeyqhRo5Ikt99+e84888wcd9xx6du3b6ZMmZJRo0bluuuuS69evVb3cgAAAACgWgoHa0vvUPvvQO2EE05Iu3btChdz2WWXpWXLlpXb/fr1ywcffJDf/va3OeGEE9KgQYNceOGFGTx4cE455ZQkSd++ffPiiy/mkksuyfjx4wufGwAAAABWxSoHa++8807GjRuXm266KYsWLcp+++2X448/frUCtaX+O1RbaptttsnEiROzYMGCvP/++3nllVfyv//7v1X67LPPPjn//POzcOHCNG7ceLXrAAAAAICVqXaw9vbbb1cGaosXL87++++f4447rkYCtc/y1FNPpXXr1mnatGmeeuqpJEn79u2r9OnYsWMqKioyc+bMdOzYsdB5SqVSFixYsNr1flpZWVmaNGlS4+NCXVReXp5SqVTbZawSc5S1SX2bo+Yna5P6Nj8Tc5S1S32bo+Yna5M1NT9LpVK1XsxZ7WBtzz33zMKFC7PNNtvkW9/6Vtq2bZu5c+fmueeeW+Ex2267bXWHX64nn3wyU6ZMyWmnnZYkmTNnTpKkWbNmVfot3V7aXkRFRUWmTp1a+PgVadKkSbp27Vrj40JdNGPGjJSXl9d2GavEHGVtUt/mqPnJ2qS+zc/EHGXtUt/mqPnJ2mRNzs/qPBVZ7WDt448/TpL8+9//rlzfbEWWpnqrE1S99dZbGTNmTPr06ZMRI0YUHqe6GjVqlE6dOtX4uNVJN+GLon379vXqk7zEHGXtUt/mqPnJ2qS+zc/EHGXtUt/mqPnJ2mRNzc9p06ZVq1+1g7Vzzz23cDGrau7cuTnmmGPSokWLXHTRRWnQoEGSpHnz5kmSefPmpVWrVlX6/3d7EWVlZVl//fVXo2rA7eZQt5mjUHeZn1C3maNQd62p+VndgLrawdqBBx5YuJhV8dFHH+Vb3/pW5s2blxtvvDEbbrhhZVuHDh2SJNOnT6/8+9LtRo0arfH13gAAAABgqQa1XcB/W7RoUU455ZRMnz49v/nNb9K6desq7e3atctWW22VO++8s8r+KVOmpF+/ft4ICgAAAMDnptp3rH0exo4dm/vuuy+nn356Pvzww/zzn/+sbOvatWsaN26c0aNH59RTT80WW2yRPn36ZMqUKXnmmWdy7bXX1l7hAAAAAKx16lSw9tBDDyVJzjvvvGXa/vKXv6Rt27YZMmRIysvLM378+IwbNy7t27fPxRdfnN69e3/e5QIAAACwFqtTwdq9995brX5Dhw7N0KFD13A1AAAAALBidWqNNQAAAACoLwRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAXUqWHv11Vdz1llnZf/990/Xrl0zZMiQ5fa76aabstdee6V79+7Zb7/9ct99933OlQIAAACwtqtTwdpLL72U+++/P1tuuWU6duy43D633357zjzzzAwaNCjjx49Pr169MmrUqPzzn//8fIsFAAAAYK22Tm0X8N8GDhyYPfbYI0ly+umn59lnn12mz4UXXpjBgwfnlFNOSZL07ds3L774Yi655JKMHz/+8ywXAAAAgLVYnbpjrUGDzy5n5syZeeWVVzJo0KAq+/fZZ5888sgjWbhw4ZosDwAAAAAq1algbWWmT5+eJGnfvn2V/R07dkxFRUVmzpxZG2UBAAAAsBaqU4+CrsycOXOSJM2aNauyf+n20vYiSqVSFixYULy4FSgrK0uTJk1qfFyoi8rLy1MqlWq7jFVijrI2qW9z1PxkbVLf5mdijrJ2qW9z1PxkbbKm5mepVEpZWdlK+9WrYG1NqqioyNSpU2t83CZNmqRr1641Pi7URTNmzEh5eXltl7FKzFHWJvVtjpqfrE3q2/xMzFHWLvVtjpqfrE3W5Pxs3LjxSvvUq2CtefPmSZJ58+alVatWlfvnzp1bpb2IRo0apVOnTqtX4HJUJ92EL4r27dvXq0/yEnOUtUt9m6PmJ2uT+jY/E3OUtUt9m6PmJ2uTNTU/p02bVq1+9SpY69ChQ5JP1lpb+vel240aNUq7du0Kj11WVpb1119/tWuEtZnbzaFuM0eh7jI/oW4zR6HuWlPzs7oBdb16eUG7du2y1VZb5c4776yyf8qUKenXr1+1btEDAAAAgJpQp+5YKy8vz/33358keeONN/Lhhx9Whmg77rhjWrZsmdGjR+fUU0/NFltskT59+mTKlCl55plncu2119Zm6QAAAACsZepUsPbee+/l5JNPrrJv6fbVV1+dPn36ZMiQISkvL8/48eMzbty4tG/fPhdffHF69+5dGyUDAAAAsJaqU8Fa27Zt88ILL6y039ChQzN06NDPoSIAAAAAWL56tcYaAAAAANQVgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAGCNQAAAAAoQLAGAAAAAAUI1gAAAACgAMEaAAAAABQgWAMAAACAAgRrAAAAAFCAYA0AAAAAChCsAQAAAEABgjUAAAAAKECwBgAAAAAFCNYAAAAAoADBGgAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKCAehmsvfzyy/nGN76RXr16pX///jn//POzcOHC2i4LAAAAgLXIOrVdwKqaM2dOvva1r2WrrbbKRRddlFmzZuW8887LRx99lLPOOqu2ywMAAABgLVHvgrUbbrgh8+fPz8UXX5wWLVokSRYvXpyxY8fmW9/6Vlq3bl27BQIAAACwVqh3j4I+8MAD6devX2WoliSDBg3KkiVL8tBDD9VeYQAAAACsVepdsDZ9+vR06NChyr5mzZqlVatWmT59ei1VBQAAAMDapt49Cjp37tw0a9Zsmf3NmzfPnDlzCo1ZUVGRUqmUZ555ZnXLW66ysrJ86+SjUlGxaI2MD7WtUaN18q9//SulUqm2SymkrKwshx3YLYsWb1PbpcAasU7DhvV2jpaVleXIHbfKosVb1HYpsEas07BBvZ2fyf//O7TNZlm8meVY+GJq2KD+ztGysrJ0W9Qs2zTcsLZLgTWi4cKyNTo/KyoqUlZWttJ+9S5YWxOWfqGq8wUraqOWLdbY2FBXrMk5tKY1b75+bZcAa1x9naMtNmhS2yXAGldf52eStFhvvdouAda4+jpH119n3douAda4NTU/y8rKvpjBWrNmzTJv3rxl9s+ZMyfNmzcvNGbv3r1XtywAAAAA1jL1bo21Dh06LLOW2rx58/LOO+8ss/YaAAAAAKwp9S5Y23nnnfPwww9n7ty5lfvuvPPONGjQIP3796/FygAAAABYm5SV6tkqjHPmzMngwYPTvn37fOtb38qsWbNy3nnnZd99981ZZ51V2+UBAAAAsJaod8Fakrz88sv58Y9/nH/84x/ZYIMNsv/++2fMmDFp3LhxbZcGAAAAwFqiXgZrAAAAAFDb6t0aawAAAABQFwjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUIBgDQAAAAAKEKwBAAAAQAHr1HYBkCSvvvpqJkyYkKeffjovvfRSOnTokD/96U9V+pSXl+fSSy/NlClT8u6772bTTTfNgQcemG9+85tZZ50V/ygvXrw4V155Zf76179m2rRpKZVK6dKlS04++eRsv/32Vfp26dJlmeM32WSTPPTQQzVzoVAP3XHHHZk0aVKee+65zJ07N1tuuWWGDx+egw8+OGVlZZX95s6dmwsvvDB33nln5syZk9atW2fYsGE5+uijP3P8W2+9Nb///e/zyiuvpLy8PJtvvnn222+/HHPMMWncuHFlv+HDh+fxxx9f5vgpU6akY8eONXfBUI/cf//9GT9+fKZNm5YPP/wwrVu3zh577JFRo0Zlww03rOz38ccf5/LLL89tt92Wt99+O5tsskkGDRqU0047rdrnmj9/fgYNGpRZs2blD3/4Q7p3717ZZn7Cyn3WHCr6O3SpW265Jd/73veW2X/MMcfk1FNPrdw2V6F6qjOnzCeWEqxRJ7z00ku5//7707NnzyxZsiSlUmmZPj/60Y9y991359vf/nY6duyYf/7zn7nwwgtTXl6eMWPGrHDsjz76KOPGjcuBBx6YY445Jg0aNMjEiRMzYsSITJgwIf369avSf/jw4RkyZEjldqNGjWruQqEe+t3vfpc2bdrk9NNPz0YbbZSHH344Z555Zt56662MGjUqSbJgwYIMHz48DRs2zBlnnJGNN944r7zySj788MOVjj9nzpwMGDAgxx57bJo2bZpnnnkmF198cd566638+Mc/rtL3y1/+8jJBQNu2bWvuYqGe+eCDD9KjR48MHz48LVq0yEsvvZSLLrooL730Uq688sokyZIlS3LCCSdk5syZGTVqVNq2bZs333wzM2bMWKVzXXrppVm8ePEK281P+GwrmkOr8zv0037zm99UCdVbt269TB9zFapvZXPKfCIRrFFHDBw4MHvssUeS5PTTT8+zzz5bpX3JkiW54447MnLkyBx55JFJkr59+2bGjBm5/fbbPzNYW2+99XLPPfekefPmlfv69++fIUOG5KqrrlomWNtss83Sq1evGroyqP8uu+yytGzZsnK7X79++eCDD/Lb3/42J5xwQho0aJBx48Zl/vz5mTRpUtZff/0kSZ8+fao1/te//vUq23379s38+fPzu9/9Lj/84Q/TsGHDyrZmzZqZn/Bf9t9//yrbffr0SePGjXPmmWdm1qxZad26dW6++eY8/fTTmTJlSv7nf/6n0HlefvnlXH/99TnttNNy9tlnL7eP+Qkr9llzaHV+h37atttuW+V39vKYq1B9K5tTReZTly5dcvXVVxee59Q91lijTmjQ4LN/FEulUhYtWlTl04Ik2XDDDZd7d9t/a9iwYZVQbem+Ll265O233y5WMKxFlvc/E9tss00+/PDDLFiwIEnyhz/8IQcffHDlPwhWV4sWLbJo0aIsWbKkRsaDtUmLFi2SJBUVFUmSm266KXvvvXfhUC1JzjnnnBx++OFp3759TZQIa53PmkM1/TsUgM+XYI16oWHDhjnooINy7bXX5plnnsn8+fPz8MMP57bbbstRRx21yuMtWrQoTz/9dDp06LBM27hx47Lttttm++23zymnnJI333yzJi4BvlCeeuqptG7dOk2bNs3rr7+ed955JxtttFGOO+64dOvWLTvuuGN+8IMfZP78+dUec9GiRSkvL8+TTz6Zq666KkccccQyj2I//vjj6dWrV7p3756jjjoqTzzxRE1fGtRLixcvzscff5znnnsul1xySQYOHJi2bdumoqIi//73v7P55pvnu9/9bnr16pXevXvn5JNPzjvvvFOtse+88868+OKLOfHEEz+zn/kJy/dZc6imfocuNWTIkGyzzTbZfffdc8UVVyz30VNzFapvZXPKfCLxKCj1yNlnn52zzz47Q4cOrdz3rW99K9/4xjdWeazf/OY3mTVr1jKPoB1wwAHZdddds8kmm+TFF1/MZZddlmHDhuW2225b5q43WFs9+eSTmTJlSuV6Eu+++26S5Gc/+1m++tWvZvz48XnllVfyy1/+MgsWLMj//d//rXTMRYsWZdttt63cPvDAA3PGGWdU6bPDDjtk//33z1ZbbZW33347EyZMyDe+8Y1cc8016d27dw1eIdQ/u+22W2bNmpUkGTBgQH75y18m+WQNtoqKiowfPz477LBDLr744syePTs///nPM3r06Nxwww2fOW55eXnOO++8jBkzJk2bNl1hP/MTlm9lc6gmfocmSatWrTJ69Oj07NkzZWVluffee/PrX/86s2bNyllnnVXZz1yF6qnOnKrufFq0aNEy4y9ZsqTK/oYNG1Z5KRj1TAnqmNNOO600ePDgZfafd955pf79+5cmTpxYevzxx0vjxo0r9ezZszR+/PjKPhUVFVX+LM/f/va3UteuXUsXXXTRSmuZOnVqaZtttimNGzeu+AXBF8h//vOf0k477VT62te+Vlq8eHGpVCqVnnrqqVLnzp1LBx54YJW+EydOLHXu3Ln02muvlUqlUmnRokWfOT+feeaZ0hNPPFH67W9/W9pxxx1L3/3udz+zlvnz55d222230je/+c0aujqov6ZOnVr6+9//Xpo4cWJpt912Kw0fPry0aNGi0ltvvVXq3LlzqX///qWPP/64sv9DDz1U6ty5c+nhhx8ulUrLzs8lS5aUSqVS6Ze//GXpoIMOqtx+9NFHS507dy4988wzn1mP+QmfWNkcqu7v0CLOO++80jbbbFOaNWvWCvuYq1B9K5tTy5tPM2fOLHXu3Hmlf26++ebP6zJYA9yxRr3w4osv5sorr8xll12WgQMHJvnkE4JFixblggsuyOGHH56mTZtWueMlSV544YUq288991xGjx6dIUOGVL7N8LNsvfXWad++fZ577rmauxiop+bOnZtjjjkmLVq0yEUXXVS5NuLSuzk/vQBr3759k3zy1t927dplzz33zBtvvFHZ/pe//KXKW5O6d++eJNl+++3Ttm3bnHjiiTnqqKMq93/a+uuvn1122SV33XVXzV0k1FNbb711kqR3797p3r179t9///z5z3/OLrvskrKysnz5y19O48aNK/vvuOOOadiwYaZNm5Z+/frl61//eh5//PHK9quvvjpt27bNlVdemUsuuSTz5s1Lksp1FRcsWJD58+dngw02WG495ickb7zxxkrnUHV/hxYxaNCgXHnllZk6deoK11g0V6H6Vjanljef/ud//id/+MMfqvQ75JBDMnbs2Cr/dvUm0fpNsEa9MG3atCSfLJj+37p27ZqFCxdm1qxZadq06TL/0fpvr776ao455pj07t0755xzzhqtF75oPvroo3zrW9/KvHnzcuONN1Z5kUi7du2q/IP90z7++OMkn7xddOHChZX7P2sh9W7duiVJXnvttRUGa8DydenSJY0aNcprr72WJk2apE2bNivsu3R+jh07tsp6Tks/VKqoqMixxx67zHEjRoxIz549M3HixJq/APiCeP3111c6h6699tpq/Q4F6qfGjRsv9/9l27dv7/9xv0AEa9QLS/9R8Nxzz2WzzTar3P/ss8+mrKwsm2++eZKs8D9Ob7/9do4++uhsttlmufDCC5dZEH1Fpk6dmhkzZuSggw5azSuA+mvRokU55ZRTMn369Fx33XVp3bp1lfbGjRunf//+eeSRR6rsf/jhh5Ok8tO4Ll26VPucTz31VJJ85qf0CxYsyF//+lf/UwKf8vTTT6eioqLy0+/ddtstd955Zz7++OOsu+66SZJHH300ixcvrpyfy3uZzzbbbJOrr766yr6pU6fm3HPPzdixYz9z7pmfUL05VN3foUVMmTIlDRs2TNeuXVfYx1yF6lvZnDKf1l6CNeqE8vLy3H///Uk+uW3+ww8/zJ133pnkk8dVunXrlm7duuXss8/Oe++9ly222CLPPPNMxo0bl4MPPjhNmjRZ4dgfffRRjjnmmLz//vv5/ve/n5deeqmyrXHjxpX/YZwwYUJee+219OnTJy1btsxLL72Uyy+/PJtuummVFybA2mbs2LG57777cvrpp+fDDz/MP//5z8q2rl27pnHjxhk1alQOP/zwfOc738mBBx6YV199Nb/85S+z7777ZosttvjM8Y888sjsueee6dChQxo0aJCnn346V155ZQYMGJAePXok+eSFCb/5zW+y5557pk2bNnn77bfz29/+Nu+8804uuOCCNXn5UKeNGjUq3bp1S5cuXbLeeuvl+eefz4QJE9KlS5fsscceSZKRI0fmtttuywknnJARI0Zk9uzZ+eUvf5ntttuu8nGz5WnWrNkyj6ctte2221b+g9/8hOWr7hxand+hS40cOTJ9+vSp/BDrL3/5SyZOnJgRI0akVatWScxVWBUrm1PmE/9NsEad8N577+Xkk0+usm/p9tVXX50+ffrk8ssvzwUXXJArrrgi7733XjbddNN885vfzDHHHPOZY7/77rt5/vnnkyTHH398lbY2bdrk3nvvTfLJ7bh333137rjjjsyfPz8bbbRRdtlll5xyyilp1qxZTV0q1DsPPfRQkuS8885bpm3pOmndunXL+PHj84tf/CLHH398mjdvnsMOOyxjxoxZ6fjdunXLxIkT8+abb2adddZJ27ZtM3r06AwbNqyyT6tWrVJRUZFf/epX+eCDD9KkSZP07t07Y8eOrQzfYG3Uo0ePTJkyJePGjUupVEqbNm0ydOjQjBw5svLxss022yxXX311fvrTn2b06NFp0qRJdt9995x++uk18gYy8xNWz+r8Dl2qffv2ufnmm/PWW29lyZIl2WqrrXLGGWdk+PDhlX3MVai+lc0p84n/VlYqlUq1XQQAAAAA1DcNarsAAAAAAKiPPAoKAABQRy1evDif9ZDROuv4Jx1AbfIoKAAAQB01fPjwPP744ytsX7reKQC1Q7AGAABQR02fPj3z589fYXuXLl0qX1YCwOdPsAYAAAAABXh5AQAAAAAUIFgDAAAAgAIEawAAAABQgGANAAAAAAoQrAEAfIFdd9116dKlS4YOHVrbpQAAfOEI1gAAvsAmT56cNm3a5Jlnnsmrr75a2+UAAHyhCNYAAL6gZs6cmX/84x/53ve+l5YtW2by5Mm1XRIAwBeKYA0A4Atq8uTJad68eXbZZZfstddeyw3W3n///fzv//5vvvzlL2f77bfPaaedlueffz5dunTJLbfcUqXvyy+/nJNOOik77rhjunfvnoMOOih/+ctfPq/LAQCocwRrAABfUJMnT86ee+6Zxo0bZ8iQIXnllVfyzDPPVLYvWbIkxx9/fG6//fYceOCBGTNmTN55552cdtppy4z10ksv5bDDDsvLL7+cY445JqeffnrWX3/9nHjiifnzn//8eV4WAECdsU5tFwAAQM179tlnM3369Jx55plJku222y6bbrppJk+enB49eiRJ7rnnnvzjH//IGWecka997WtJkiOOOCLf+MY3lhnvJz/5STbbbLPcfPPNady4cZJk2LBhOeKII/KLX/wie+655+d0ZQAAdYc71gAAvoAmT56cTTbZJH369EmSlJWVZZ999smUKVOyePHiJMmDDz6YRo0a5dBDD608rkGDBjnyyCOrjPXBBx/k0UcfzaBBg/Lhhx9m9uzZmT17dt5///3stNNOeeWVVzJr1qzP7+IAAOoId6wBAHzBLF68OLfffnv69OmT119/vXJ/jx49cuWVV+aRRx7JTjvtlDfffDOtWrVKkyZNqhy/xRZbVNl+7bXXUiqVcsEFF+SCCy5Y7jnfe++9tG7duuYvBgCgDhOsAQB8wTz66KN55513cvvtt+f2229fpn3y5MnZaaedqj3ekiVLkiRHH310BgwYsNw+nw7jAADWBoI1AIAvmMmTJ2fjjTfOWWedtUzbn//85/z5z3/O2LFjs/nmm+exxx5LeXl5lbvWXnvttSrHtGvXLknSqFGjfOUrX1mzxQMA1CPWWAMA+AL56KOPcvfdd2fXXXfN3nvvvcyfI488MvPnz8+9996bnXbaKRUVFZk4cWLl8UuWLMl1111XZcyNN944O+64Y2688ca8/fbby5xz9uzZa/y6AADqInesAQB8gdx7772ZP39+Bg4cuNz2Xr16pWXLlpk0aVIuueSS9OjRIz/72c/y2muvpUOHDrn33nszZ86cJJ+88GCps88+O8OGDcu+++6bQw89NO3atcu7776bf/7zn3nrrbcyadKkz+X6AADqEsEaAMAXyKRJk7Luuuumf//+y21v0KBBdt1110yePDlz587NFVdckZ/85Ce59dZb06BBg+y555458cQTc8QRR2TdddetPK5Tp065+eabc/HFF+fWW2/NBx98kJYtW6Zr16458cQTP6/LAwCoU8pKpVKptosAAKDuuOeee3LiiSfm+uuvz3bbbVfb5QAA1FnWWAMAWIt99NFHVbYXL16ca665Jk2bNs22225bS1UBANQPHgUFAFiL/fjHP85HH32U3r17Z+HChbn77rvzj3/8I9/+9rez3nrr1XZ5AAB1mkdBAQDWYpMnT85vf/vbvPrqq/n444+z5ZZb5ogjjshRRx1V26UBANR5gjUAAAAAKMAaawAAAABQgGANAAAAAAoQrAEAAABAAYI1AAAAAChAsAYAAAAABQjWAAAAAKAAwRoAAAAAFCBYAwAAAIACBGsAAAAAUMD/B1zb6APEmGkrAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* In the interpretation of age columns with the 5 ranges high number of customers are in the 26-35 ages people after that 18-25 ages people"
      ],
      "metadata": {
        "id": "YTMkr2k5KuEn"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Relational plot"
      ],
      "metadata": {
        "id": "WADCPK_4LPJO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.relplot(x=\"Annual Income (k$)\",y=\"Spending Score (1-100)\",data=df)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "gi9QZAqYXJ3Q",
        "outputId": "021acfe3-51f1-49ab-a9a2-3097163b601f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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xkaEOj6tWq83+70ti9MceKfXVk4KlnwD7GoiCpZ+A832Njo4W/Bp+F5B//PFHPPHEE5g4cSJuu+02XLt2DWvXrsX999+P9957D5GRkR59fa1Wi9OnT7v8vJCQEMwclYYN+uvz+RpkpV5fAaekqMDmHaghISGIa9IMCI2CPL41rqn0uFZ1BVXX/vDZXavu9McVJSUlbh/DHwRLPwH2NRBI8TvJWxy9pz179hR8bL8LyMuWLUOvXr2wcOFC42OZmZm47bbb8Mknn2DSpEmIj48HACiVSiQl/XkHcVVVFQAYtwsRHh6Ojh07Cn7+/CmZUKp0UNXqEB0ZBkV0GCLCYLc2s7pWj9U7TljcdDVnfAZiI2U2n+cNQvrjDLVajZKSErRv3x5RUYFbQhUs/QTY10Ai5e8kT/HGe+p3AbmoqAiDBg0ye6xly5ZISEjAhQsXAADJyckArueSDf82/BweHm5Rr+wKmUzm1pBENICEOIe7GSlVGqzecdRqedHqHSewYGq2T+9mdrU/roqKinLr9+0vgqWfAPvq76T+neRpnnxP/e6mrlatWuGXX34xe+zixYuoqKjAjTfeCABo06YN2rdvj88//9xsv/z8fPTu3dvrd1i7g1NbEpGU8DvJc/zuCnny5MlYvnw5li1bhoEDB+LatWtYt24dmjZtiuHDhxv3mzt3Lh5//HG0bdsWOTk5yM/Px8mTJ7FlyxYftt51LC8if8KpVAMfv5M8x+8C8rRp0yCXy/H+++9j586diImJQWZmJl577TUkJCQY9xs1ahTUajXy8vKwfv16dOjQAatXr0ZWVpYPW+86lheRv+BUqsGB30me43cBWSaTYcqUKZgyZYrDfSdMmIAJEyZ4oVWeY5ja0lZ5kS+WCCNqzNFUqgumZiPUR20jcfE7yXP8LoccbKS4RBhRY8wrBg9+J3mO310hBwpXcm1JTaLw6OQsKKs1qFZrERsVDkWsHE3jOAxIrvNEnteZvGJiLK+RA4Vhut2KqlpUVqsRHxuFhLhIBmM3MSD7gKu5NubmSCyeOpeYVww+img5QqFD+cUyNGuVjmgGY7dxyNrLXF22kMscklg8eS4JXcaTiP7EgOxlrubamJsjsXjyXGJekch9HLL2ssa5tkh5KEbnpqBzuwRotA3QahugVGmMX2Cs+SOxePpcMt7rUKNBjVqHmKgwKGJ4rwORsxiQvcw0lxYpD8WCqdnYdbAY2/YWGh83zekxN0di8fS5xHsdiNzDIWsvM821jc5Nwa6DxThxxnZOj7k5EosnzyXe60DkPgZkLzPNtXVul2ARjA0MOT3m5kgsnjyXeK8Dkfs4ZO0Dhhq+0ktKu/sZcnqBVPPHuY59y3AuVVbXQV2nhSI6ArV1Oly6qkK1WiM45+vJOmRb5wzPJQo0DMg+ooiWIy7G/peHaU4vEGr+mGOUBkW0HIpoOX6/UoPV20+YjdJkdErCnAkZaNk0xqVjeio/be2cyenaAjPHdMfanZbr8fJcIn/GIWsfCqb8MHOM0nKlSm0RjAHgxJlyrN5+Aleq1C4dzxPnsq1zpt0N8Vi9/QTPJQo4gq+Qz549i7Nnz6KiogIymQwJCQlISUlBx44dxWxfQDPk9KxdNQZaftiZHGMg9VfqlDUam/cvnDhTDmWNxumha6VKg6qaOtw/tjvWf/yTzXNZpdK51EZb50zndglmVQmmeC75H6Ye/uRSQD5y5Ag++ugjfP3116iqqoJerzfbLpPJoFAoMGDAAIwbNw45OTmiNjYQmeb0AvmEZD21tNSo7QdHR9sNTIeUDTX1dw3oBHlYKBQx7p3Lts4JjbZB0PNIepjGMudUQD5w4ABef/11/Pzzz+jUqRPuvPNOdO3aFW3atEFcXBz0ej2qqqpQVlaGn3/+GYcOHcInn3yCLl26YP78+ejXr5+n++HXDDm9QMZ6ammJibL/0Xe0HbAcUq7V1GPb3kJs21uIrLQkLJia7dZ5beuckIfbz7TxXPIPzizZGejfi405FZAfffRRjB8/Hi+99BJSUlJs7peVlYU77rgDAFBUVIStW7fi0UcfxY8//ihOa8lvcQ1VaVHEyJHRKcnqsHVGpyQoHNxwCHg+DWHrnPn1fIXNtvNc8h9MY1lyKiB//fXXaNKkiUsHTklJwdNPP43Zs2cLaRe5yZCXUdVqoYiWQ6trgLpO59KQuKu5HXv7B1O+3B80jYvCnAkZVu+ynjshA/KwUJRdVtp9712dBtZVts6Z8/+rxJwJGVbvsua55D+YxrLkVEB2NRiL9VwSxpCXOX3uKhZMzcbm/F/NvnSdydF4YonIYMmX+4uWTWMw/27LuacbGoCXtxx1+N67Og2sEPbOGZ5L/o1pLEuCyp60Wi3OnDmDQ4cOYd++fTh06BDOnDkDrTb4/qKRGtO8jDNTczo6hjPPc2V/RbQcrZsrkNYuEa2bK/gF6mNN46LQ/oZ4dE1uivY3xEMeFur0e+nqNLBC2TpneC75t2Aq+3SWS3dZX7hwAW+88Qb27duH2tpaAIBer4dMJgMAREZGYuDAgZg7dy7at28vemPJMdO8jNDyEFdzO8wFBQ5X3kvTIWVnzjWhM3VRYGIay5LTAfmXX37Bvffei9DQUNxxxx3o0aMHkpKSEBERgbq6OpSXl+PEiRP44osv8O2332Lz5s3o0qWLJ9se8BrnZGMiQxESYn9QwzTvIrQ8xNXcDnNBgcPVvLAr08AyIFNjTGOZczogv/jii2jVqhU2bdqExMREq/uMHz8e8+fPx/Tp0/GPf/wDmzZtEq2hwcZWTnbmqDS7zzPNuwgtD3E1t8NcUOAQkhd2dRpYIlPBUPbpLKdzyD/99BOmTJliMxgbJCYmYsqUKTh58qTbjQtW9nKyG3YXoM7OnA2meRlDeYg19nI0ruZ2mAsKHELzwjwHiNzndECOjIzEtWvXnNq3oqICkZGRQtsU9Ozm8QrLobQzBaHpEnu7DhRhdL9ki6DsKEfj6jJ9XCIycLi6PKi155niOUDkPKeHrAcPHowNGzagU6dOuP32223u9+WXX+Ltt9/GiBEjRGlgMHKUc1XV2p/W0DQvo6rVYvb4Hi7XIbua22EuyP+Z1q4/NK4HKqrsr2Hc+DzlOUDkHqcD8hNPPIEzZ85g7ty5aNasGbp27YqkpCTI5XJoNBqUl5fj559/xpUrV5CRkYEnnnjCk+0OaI7ybdGRjt82MfIyrh6DuSD/Ze2ehWUP3mr3OdbOU54DRMI5HZAVCgXef/99fPbZZ/jyyy9x+vRp/L//9/9QV1eHiIgING/eHD179sTQoUMxbNgwh3cDk212p5lMTYIimstYk3hs3bNw8uwfnKKSyItc+maXyWQYMWIEh6M9zF593sxRaYhgPCYR2bpnYdeBIiyYmo2QELBOlMgL+NUuUdbycTGRoSgpKkCzJvZLn4hcYeuehVpNPV7echSvPpqLkBAZ88JEHuZyQD537hy++OIL/PLLL7h8+bLZkHV6ejqGDh2K5ORkT7Q16DTOx6lUKjQ02J/sg8hV9u5ZqNXUIyREhtbNFV5sEVFwcjrRW19fj+eeew4jR47Ea6+9hpMnT6K+vh4xMTGor6/HyZMn8frrr2PUqFFYunQp6uvrPdluIhIJa4iJpMHpK+S1a9figw8+wP3334+7774bzZs3t9jn8uXLeO+997B+/Xo0a9YMc+fOFbWxRCS+QJhT2NWlQn3N39pL3uF0QP7www9xzz33YN68eTb3ad68OebNm4fq6mp8+OGHDMhEfsKfa4hdXSrU1/ytveQ9Tg9ZX7lyBampqU7tm5aWhqtXrwpuFBF5nz8uZ+jqUqG+5m/tJe9yOiB37NgR+fn5Dm8q0uv12LNnD1JSUtxuHBGRPc4sFykl/tZe8i6nh6xnz56NOXPmYPz48Zg4cSK6du2K5s2bIzw8HFqtFpcvX8apU6ewbds2FBQUYNWqVZ5sNxGRpJf+DAkJQZ0OuHpZaUwDVKuk217yPacD8qBBg/Dmm2/ipZdewrPPPguZTGaxj16vR3JyMtauXYvbbrtNzHYSEVmQ8tKfTVu0xcqtx92ejpSCh0t1yP3790f//v1RVFSEX375BeXl5aitrUVkZCSSkpKQnp6Ojh07eqqtRERm7E4z68OSrTodkLe7AMcLOR0pOU/QTF0pKSnMERORz0m1ZEup0lkEY4DTkZJ9nDqTiPyaFEu2VLWcjpRc55GA/O677+Ltt9/Gvn37PHF4IiIzUlv2MTqS05GS6zyyRmJVVRV+++03TxyaiEjyFNFhyErldKTkGqevkF0JsFVVVYIaQ0QUCCLCgJl3pGHDp8wVk/OcDsgDBw60WupkjV6vd3pfco212kbmn4ik58qlC5g/ORM1tfX8rJJTnA7IcrkcHTt2xKhRoxzue/jwYXz33XduNYyss1bbyHlwiaSnoaEBEWFAAnPF5CSnA3KXLl2gUqkwY8YMh/vW1dUxIHuArdpGwzy4C6Zm869vIiI/5fRNXT169EBRURFUKpXDffV6PfR6vVsNI0u2ahsBzoNLROTvnL5CnjJlCtLT06HT6RzuO23aNIwZM8athpElW7WNBv48D27j9WFjIkMREuKRIgAiIklyOiB36NABHTp0cGrf2NhYxMbGCm4UWWevthHw33lwba0PO3NUmg9bRUTkXbwE8SOBWNtob33YDbsLUOd4QIaIKCCIEpD/+OMPpKen4/Dhw2Icjmww1DZmpZkHZX+ubbS7PmxhOZQqRmQiCg6iTZ3Jm7i8I9BqGx3lvVW1DMhEFBy4uISfCbTaRkd57+hInqJEFByYQyafMqxna01WahIU0QzIRBQcRAnICoUCK1asQKdOncQ4HAURw3q21vLiM+9IQwTjMdmgVGlQdlmJgvNXUXZZCaVK4+smEblFlK+7iIgI3HnnnWIcioKQtfVsYyJDUVJUgGZNWPpElmyVynEKWfJnHhmyLiwsxMcff+yJQ1OAUkTL0bq5AmntEtG6uQIRYdfz5USN2SuVW7XtGK+UyW95JCDv27cPTz31lCcOTURBzm6pHKeQJT/Gm7qIyK84KpXz5ylkKbg5nUN25Yq3oKBAUGOIiBxxVCrnr1PIEjkdkD/66COEhYUhPNzxye7MAhREREIYSuWsDVv76xSyRIALAfmGG25Ap06dsH79eof7rl27FqtWrXKrYURE1hhK5azdZe2vU8gSAS4E5B49euDIkSNO7SuTyQQ3iHyj8fKH3p6Ok8svkiuslcr58xSyRIALATknJwc//fQT/ve//+GGG26wu2/nzp0xduxYd9tGXuLrmk4uv0hCKKLlDMAUUJy+BLn77ruxf/9+h8EYAAYMGIAVK1a41TBHPvroI4wdOxbdu3dHTk4OZs6cidraWuP2/fv3Y/To0ejevTuGDh2KnTt3erQ9/srXNZ1cfpGI6Dq/nJhw3bp1yMvLw4MPPojMzExUVFTg8OHDqK+vBwAcPXoUc+bMwfjx47Fo0SJ8//33ePrppxETE4Nhw4b5uPXS4kxNpyevQpxZfjEhzmMvT0QkGX4XkIuLi7F69WqsXbsW/fv3Nz4+dOhQ47/XrVuHHj164PnnnwcA9OrVC6WlpXjjjTcYkBvxdU2nK8svGvLMqlotFNFyaHUNUNfp/CJ/6OscPRFJn1MB+b777sODDz6Im2++2aWDf//998jLy8Nbb70lqHHWfPjhh2jdurVZMDal0Whw5MgRPP7442aPjxgxAp9++inKysrQunVr0drj73xd0+ns8ouGPPPpc1exYGo2Nuf/ihNn/GMeY3s5+hjGZCL6P07lkNu0aYO//vWvGD58OFatWoWjR4+ipqbGYr/q6mocOXIEK1euxNChQzFr1iy0bdtW1AafOHECqampWLt2LXr37o1u3bph8uTJOHHiBADgwoUL0Gq1SE5ONnteSkoKgOtX2PQnu8sfeqGm05nlF03zzKNzU7DrYLFZMAakO4+xoxw9c+REZODUFfKzzz6L++67D5s3b8Z7772HtWvXQiaTIT4+HnFx1xN8lZWVqKqqgl6vR3x8PO644w5MmzYNbdq0EbXB5eXlOHXqFAoLC7F06VJERUXhzTffxIwZM/Dll1+isrISAIztMjBtpzv0ej1UKpVbxxBKrVab/V8MoQDmjM/A6h0nLK7g5ozPQCh0UKk8FzXsvf7MUWlo0KpRoQo3buvcLgHb9hZaPdaxgnJUVNUiFNKJchVVOrs5+qqa639AiPmeSpUnzl+pCpa+Bks/Aef7Gh0dLfg1nM4ht2nTBk8//TSefPJJHD16FMePH0dxcTGuXbsGAGjSpAmSk5ORmZmJnj17OjWjlxCGgPj666+jc+fOAICMjAwMHDgQW7ZsQd++fT3yugZarRanT5/26Gs4UlJSIurxQkJCMP32Npg+LBUqTT2i5aFAvRoXzxd6ZcUlW69/5dIFlDc0QB7/Z4pBo7XfnspqNcovlpkdO65JMyA0ChqdHk0UkajVNhhzueEyHa5cLvPY7HKmbbemqub6QgiG99S0vSpNPaIjQgGdGlXX/jC+F87sI2Vin79SFix9DZZ+Ao772rNnT8HHdvmmrrCwMPTq1Qu9evUS/KLuiIuLQ5MmTYzBGLj+x0CXLl1w9uxZjBw5EgCgVCrNnldVVQUAiI+Pd+v1w8PD0bFjR7eOIZRarUZJSQnat2+PqChP50qjcUOLph5+DdvUahmuXW1A+/btUaP98487ebj9LEt8bBSatUo3/lxdq8fqHSdw7mIllj3UB2t2/mQ23J3RKQmzx/dAfLRnJiH5o8p+oI+LicAflTC+p4b2WhutiI2UmfXJ3j5S5N3z17eCpa/B0k/AO331u7usO3bsiAsXLljdVldXh7Zt2yI8PBzFxcXo16+fcZshd9w4t+wqmUzm1pCEGKKionzeBm+JioqCPCrMOHfxr+crkNEpySKHDFwPSglxkYj+v7uXlSoNVu84imMF5XhmRg7yPj5l8bwTZ8qxZsdJzL87C03jxP+QJUBjd97luBg5/vi/ftYjzNheU8cKyrF6xwksmJoNAA73kfrd28F2/gZDX4Oln4Bn++p3cxMOGDAA165dMxs2rqiowM8//4yuXbtCLpcjJycHX3zxhdnz8vPzkZKSwjus/ZBh7uKstCTsOlCE0f2SkdHJ/EYwa/MYm9Y4N42PtBrEgetBWVnjmZvBTNturb0RJn8SO1MTzrWAiQKX310hDx48GN27d8cjjzyC+fPnIyIiAuvXr4dcLsfdd98NAHjooYcwbdo0PPvssxg+fDiOHDmCTz/9FCtXrvRx60ko07mLVbVazB7fw2EdsmmNs2k9szU1avFzyKZ10w+Ns95e0xsExagJt7UP66CJpM/vAnJISAjWr1+PFStWYMmSJdBqtcjOzsa7776LpKTrVyHZ2dlYtWoVXnvtNezYsQOtWrXCsmXLMHz4cB+3ntzh6tzFpjXOhnpm2/uK+1EQMj+4GDXh1vbx9VzlROQcvwvIAJCYmIiXX37Z7j6DBg3CoEGDvNQikiLTdXOvVNbazD1ndEqCQsQZOhzVHtvK8zq7zq8rawELbQsReZ/f5ZCJnGWav1297Rhmje1mkXvO6JSEORMyXL6hS6nSoOyyEgXnr6LsstJsQhKheV5H+WbDCIG9fQCYtauiqpY5ZyI/IfgKub6+Hp9//jmOHDmCK1eu4JFHHkFaWhqUSiUOHz6Mm266Cc2aNROzrUQuM809q+u0mDMhA7V1OtTU6hATFQZFjNzlYOxoCNidXLAz6/za2qdWU4+Xt5jfgb34vhzBbSEi7xIUkKuqqjBz5kycPHkS0dHRUKvVmDp1KoDrs5QsW7YMY8eOxWOPPSZqY4mEEHPdXGeGgN3NBTvT3sb72GqXo6pkT89VTkTOEzRk/corr+DMmTN46623sHfvXuj1euO20NBQDB06FN9++61ojSSSCmeGo30xP7itdhnqtr3ZFiISRtAV8r59+3DvvfeiT58+qKiosNjevn17fPTRR243jkgoV8t8nN3fmeHo1s0VmDsxy+qwduNaaTHabnjdSHkoRuemoHO7BGi0DZCHh+Bs2TWMyU1GSAgEtYWIvEdQQFYqlXYn2NDpdKivrxfcKCJ3uFrm48r+zg5HO5MLFqPtBrHR4VgwNRu7DhabLb6R0SkJndok4KFxPVDfoGcdMpGECRqybtu2LX7++Web2w8dOmRc7pDImxzleBsvz+jq/q4MRyui5WjdXIG0dolo3Vzh1JWxK20xFRkRZnVZyhNnyvHxt0WQy0NdagsReZ+ggDx+/Hjs3LkT+fn5xvyxTCaDRqPBypUrcfDgQUyaNEnUhhI5w9WSI1f3d6Y0yVttN6Wu1dmdGlTtYKYyIvI9QUPW06dPx9mzZ/HYY48Z1xl+/PHHce3aNeh0OkyaNAkTJkwQtaEUPJQqDSqqdJDHt8aVKh3qoXE60NnKpf56vgK7DhSZ5YCVKo1xPWJ7x2ssqUkUHp2cBWWNBjVq2+VTtnLBpo9HR4ShSWJzm6/lqC3ObHNmOxH5nqCALJPJjKVNX3zxBc6fP4+Ghga0bdsWw4cPx8033yx2OylIuDvNo71c6oKp2YiNDjd7nTv62l/9S+hUlNb2yenaAjPHdMfanY2WTkxNwpwJiW6VS4kx7SYR+ZbLAVmtVmPBggUYMmQIRo8ejezsbE+0i4KQGNM82sulAsD8u7PMXqdTmwS7yzkKmYoSgNV92t0Qj9XbT1i81rHC60snzp2YaXd6zyg783E7O+0mEUmXyznkqKgo/Oc//0Ftba0n2kNBTIylBZ3JpZq+jivLOTrbRlv7dG6XYLNtxwrKoarVWm1LRqckjO6XjNo623lgT+a2icg7BA1Z9+zZE8eOHcPEiRPFbg8FMVfyoLbys67mUg3TTY7OTcGY3GRotA24oVkMkhKiBNch26LRNth9brVKZ9YWXb0ezZpEQqdrQIWyDhpNA5Qq2/l0oaVWRCQNggLykiVLcN9992HlypWYMmUKWrZsKXa7KAg5mwe1l8MVkkut1dSb5ZvXPTnQZhBzJ1crD7c/IBUTFWZsS6Q8FAumZmPTntNmV9WO8uliThNKRN4lqOxp9OjR+P3337F+/XoMGDAA3bp1w0033WT2X8+ePcVuKwU4Z2p8HeVwoyLDHB7DnaktoyLDbE5Facjz2jq+o2ksFTFy4/NG56ZYzYU7U5NMRP5J0BXy0KFDIZM5mraeyDWGPKi9KSfLLivt5nBr63ROTVspdGrL2jodRve7fme2abA0zfM2jYuyevzz/6vEnAkZ1u+yHp9h9rzO7RLMrtob97Oyuo5XwkQBRlBAfvHFF8VuBxGAP/OgFVW1qKxWIz42Cglxkcbg4yiHW63SIq2dQvASho6CXLVKi1XbjmHOxCz8ZVQXqGt1iIoMw5XKWqzadgzPzMhxeHzTx6MiwqBVVyI2Umb2vNJLSrvtYF0xUeARvB4ykacoouUIhQ7lF8vQrFU6ok2CpLM5XCFLGDojNjoccydmWQwnZ3S6nts11DnbO77p4yqVCqcvXsYNLZqabY+Lsd8u1hUTBR7BAbm6uhobN27EN998g99++w0A0KpVK9x22234y1/+gtjYWNEaSWTg63pbZ+qcxeDrfhKR9wkKyJcuXcI999yDsrIyJCcn46abbgIAnDt3DqtXr8Ynn3yCd999F82bNxe1sRTcrk91WYf7x3bH+o9/cjr/K2Q5Q1vUtToUnL+KiYNTrU7Nqa7VAXHO98fWFKHO5NOJKLAICsivvPIK/vjjD/zrX/9C//79zbZ9++23mDdvHl599VX84x//EKWRRKalToa5qu8a0AnysFAoYmwHWXen4mxMVau1OzWnqta53K6z7erToxXu6JtsDPxXq2qhd7nVROQPBAXkgwcPYvr06RbBGAD69++Pe++9F9u2bXO7cUSA5XSVhlrdbXsLkZWWZHNKTTGm4mxMES3H5vxfbQ5Zzx7fw+X+WGsXYH36TQB2+0xE/ktQHbJarUbTpk1tbm/WrBnUarXgRhGZEjqlphhTcTam1TXYnZpTq7M/G5ez7fJE24lI2gRdIaekpGDPnj2YPHky5HLzv9K1Wi327NmDlJQUURpIJGS6SmtLKzZellGrtT8VpTXqOp3d5R3Vduabdqc/QvYhIv8iKCDPmjUL8+fPx4QJE3D33Xejffv2AK7f1LV161YUFBRg5cqVYraTgpir01VaW1rRMBVl49yvq/lkZ5d3FLM/QvchIv8iKCAPHz4carUar776KpYuXWqctUuv16Np06ZYvnw5hg0bJmpDKXi5UgJka2lFR1NROpuTFaPsydn+sOyJKLgIrkMeN24cRo8ejVOnTpnVIXfr1g1hYZxvhMTjSglQ46UVDTdIiTUVpTPLOzoqe3K2Pyx7IgoubkXOsLAwZGZmIjMzU6TmEFlnbypK0zrj+oY/i4JMl1aMlIfZzf06m5MVI/9r6M+jk7OgrNagWq1FbHQ4FDFyNI2LstynRoMatQ4xUWHGfcSsrSYiaRAUkD/99FN89913Nue0fuqpp9CvXz+MGDHCrcYRmbI2FWXjet4l9+WYbTeUSHVpn+h27hcQJ/9rrd2AZT7b2j45XVtg5pjulgtUuFFbTUTSIKjsaePGjRZ3V5uKiIjApk2bBDeKyBnW6nltLXGoa9DbzP3uOliMyAjn/jZ1Z+lGe+0GzJdWtLVPuxvisXr7CbvPJSL/JCggnzt3Dunp6Ta3d+7cGcXFxYIbReQMa7W6uw4UYXS/ZIugHBUR6jj36wRD/rdxUHYlt+tOHXLndgk2+8H6ZCL/JmjIWq/XQ6m0vTxcVVUVdDrnvuCIhLKWrzXNG8+4oyu0unrERIWjWmU7txspD0VDgx5ll5VO5WSFLt1oq93W6qPrtPVWn6vR2p94hPXJRP5LUEDu0qULPv30U/zlL3+xGLrWaDTYvXu33StoIjHYytca8sYDerZG8o3xAICyy9b/gDTUJ2/45BSOFTqfkxWydKO1dtuqj1724K1WnysPtz+oxfpkIv8laMh61qxZOHPmDKZNm4b9+/ejtLQUpaWl2LdvH+69916cPXsW999/v9htJTLjSj7X1r6G+mTTYAx4NicbFRlmHFK3VR998uwfVnPhtnLkAOuTifydoIDcv39/vPDCCzhz5gxmz56NIUOGYMiQIZg9ezbOnj2Lv//977jttttEbiqROVfyubb27dGxmddzsrV1OmOe21ZO2JALb9ze8/+rxJwJGW7lsIlImtyaGGTIkCE4dOgQLly4AABo27Yt+vTpg9jYWNEaSGSPK/lca3W96jrruVoDWzlZd+qAq1Vas/poU6b55AY98NC4HqjT1KOm1rwO2VZ9MhH5L7cmBomNjcXQoUPFaguRIM7mc63V9drK1RpYy8m6u8ZyTFS4Mc/duV2C8XHTfLJhlrE1O06aXUGzDpkocAkasm7s8OHDWLRoEWbNmoUVK1bg4sWLYhyWSDS26npt5WoB6zlZZ2qIHTHNZ5vmhE3zybZyy6xDJgpcTgfkVatWISMjA1evXjV7fPv27ZgxYwY+/PBDHDx4EJs2bcL48eNRVlYmemOJhLJV12srV2srJyvGOsWm+WzTumnTfLKt3DLrkIkCl9ND1keOHEFubi4SExONj9XW1mLFihWIi4vDqlWr0K1bN3zzzTd46qmnsG7dOrzwwgseaTQFNqVKg4oqHeTxrXGlSod6uLZmsTU1aq3NuaxXbTuGFx7qg5AQmcOcsCfmslbVavHQuO6orP7z6tZWvTHrkIkCl9MBuaSkBH369DF77NChQ1CpVHjsscdwyy23AABGjBiB77//Ht999524LaWg4G5+1hZ76xjPnZiF0FAZbkxSODyOJ+eyNs1n26o3Zh0yUeByesi6qqoKSUnmw3pHjhyBTCbDgAEDzB7v2rUrysutD6sR2SJGftYWe+sYuzKXtWkNcWMZnZIQFen4OM7ks23VG7MOmShwOX2F3KJFC4ubtX744QfExcWhY8eOFvtHRfFuT3KNM/lZa8PI1kqQDMczPNbQoHd7HWPgeg3x2P4p6JvRCk3jI41D31cqa9GsSRRq66xPGWvaxgh5qM189oKp2QgJuf7vJ+7NhkwGHC8sNw63Z3ZqhgE3tcb6T37iOslEAcbpgJydnY2dO3di0qRJaNmyJb7//nucPn0aY8aMgUwmM9u3oKAALVu2FL2xFNiE5GcbD/1GykOx5L5e2L6v0Gz2rcWNlmV09bVN99Pr9Th08jccNzl+ZmoSRvdLdqqNC6fdbPXYhnm4X300F6Gh1z9TfTNaYWxuCpo2icJbu05h295CY3C+a0AnyMNCoYjheshEgcDpgDxnzhzs3bsXgwcPRsuWLfH7778jKioKDz/8sNl+Op0OX375JYYNGyZ6YymwuZqftTb0Ozo3BR/sLbS4Gjb/k9H11zZQRMuxOf9Xi+MfLyyHXg/MHt/DYRvt5YFrNfUICZEhLiYCL285imMF5Zg4OBUF5yuMr2moYd62txBZadfXc2YwJvJ/TueQb7zxRuzcuRMTJkxA+/btMW7cOGzfvh3t2rUz2+/48ePo1q0bRo0aJXpjKbC5utawtSFuW2VBYuVetboGu0PfWp35XdDW2uhMW0yfx1InouDg0kxdbdu2xdKlS+3uk52djezsbLcaRcHJUJ9r7S7rxvlRpUqDqhrLm7xslQWZ5mfdyb2qbeSIbW23NoRtaAsAs0Br2pbfyquNj7PUiSg4uDV1JpHYDHNTV1TVorJajfjYKCTERZoFTENO9o6+yRbPtzUcbMjPvvG321DfoBc0BzXg+rC6tf1N12yeOborlKpai36aPo+lTkTBQZSpM4nEpIiWo1lcGDSVZWgWF2ZxZWy4grY29GtvODi9QyJio+Vo3VyBtHaJaN1c4XLu1dVhdVv712rqcaa0AvGx4Vb7aWt6TWdek4j8EwMy+RXT3KrptJMGuw4UYdLgVI8tT+jKko/O7G+r/NnW9Jqe6BMRSQOHrMmvmOZLTYd+x+QmQ6NtwA3NYpCU4PySjEJYW8bR3vKH9paIVKlUdl/H8DxVrRazx/eAVtcAdZ1O9D4Rke8xIJNfaZwvNZQAGax7cqAxSHkqWAmZ3tPZJSLFeh4R+R8OWZNfcTWHKzZPTu9JRMFN0BXyxx9/7HCfiIgItGzZEl27doVczr/wSRyulEZ5gtDpPYmIHBEUkBcuXGicLlOv15ttM31cJpMhNjYW999/P2bNmuVmU4mus5eT9TSxll90lrV5uhXRcpcfJyLpE3yFvHDhQjRp0gT33HMP2rZtCwA4f/483n33XSiVSixevBhXrlzBv//9b/zzn/9ETEwM7r77blEbT8HLV7lVsZZfdIa1XHVO1xaYOaY71u484dTjYixdSUTeISiHvGnTJjRt2hQbN27E7bffjrS0NKSlpWHIkCHYuHEjEhISsGPHDgwePBjvvPMOMjIy8P7774vddiKv81YO21auut0N8Vi9/YTTjzO3TeQ/BAXkvXv3YtCgQVa3yWQyDBw4EF999dX1FwgJwdChQ3H+/HnhrSSSCFfrkIWylau2Na8157sm8n+ChqwbGhpw7tw5m9vPnTuHhoY/59+Vy+WIiOBsQuScK1VqKKu1iGjSDpcrtVDo1DZrfN0hNN/qah2yvdevqNIhskkbXKtpwB9VVajV6KCIlqOq2vyK1rDkYqTc+keW810T+T9BAXngwIF4//330a5dO0yYMMEYbOvq6rBt2zZs3boVw4cPN+5/7NgxY56ZyJ7fr9Rg9fYTZld7GZ2SMGdCBlo2jRHtdYTUEovx3MbHOH3uKhZMzcb7X51Ewfnr/96c/yvG5P45T3ekPBQLpmZj18FidG6XYPV4nO+ayP8JGrJ++umn0a1bNyxbtgzZ2dkYOHAgBg4ciOzsbLzwwgvo0qULnn76aQDXg3RkZCT++te/itpwCjxXqtQWwRi4viLS6u0ncKVKLcrruFNLLEYdsukxRuemYNfBYpw4Y/5v0/mrbT1uivNdE/k/QVfITZo0wfvvv4+vvvoK3333HS5evAgA6Nu3L/r27YvBgwcjJOR6rI+IiMCyZcvEazEFLGWNxu5aw8oajShD1+7UEotRh9x4rWPDTGOm/zZdotHW46a/q/P/q8ScCRlW77LmfNdE/kHw1JkymQxDhgzBkCFDxGwPBbEatf21hk23u1Nv604tcY1aa8zndm6XAI22AfLwEPx6vgK7DhQ5lautVv25j2nu1/TfpvN0m+aN7c3frYiW+6w+m4jc5/dzWdfU1GD48OG4dOkSduzYge7duxu3bd++HRs2bMBvv/2GDh06YP78+RgwYIAPW0v2xETZPx0N293N4bpTSxwbHW7M55rOoZ3RKQkLpmYjNtr+scuvqVGnrTf+bJr7bZwHNszT3Thv7Gj+bgZgIv8kKIes1+uxdetWjB8/Hjk5OUhPT7f4r0uXLmK31aq1a9eivr7e4vE9e/Zg8eLFGD58OPLy8pCZmYk5c+bg+PHjXmkXuU4RI7eZB83olARFjFyUHK47tcSREWHGfK6pE2fKsetgMSJtraeIP3PHJ8/+Yeynae63QQ/mh4mCmKAr5JdeegkbN25Eeno6Ro8ejfj4eLHb5ZSioiK89957ePLJJ7F06VKzbW+88QZGjhyJefPmAQB69eqFwsJCrFmzBnl5eT5orW2c7vC6pnFRmDMhw+Zd1k3jolB2Wel2Dted+bDVtTq7eW51rQ6Is/5cQ+749LmreOLebMhk5jnhsBAZRvdLNh7L4NzFSswa2w1v7TrlsL3eOpd4zhKJT/DUmUOGDMHrr78udntcsmzZMkyePBkdOnQwe7y0tBQlJSVYsGCB2eMjRozASy+9BI1GI5kFL8QooQkkLZvGYP7dWVBWa1Ct1iI2KhyK2D9rfMWaS1rofNju5p8NZDIZ+vRohdH9kqGr12P6yHRotA14Nu+wWX7YkJ9+Zt0hvPBQH4SEyGy211vnEs9ZIs8QFJBra2tx6623it0Wl3z++ecoLCzEqlWr8PPPP5ttKy4uBgCLQJ2SkgKtVovS0lKkpKR4ra22OBp+XTA1OyivOprGRSEqTI8r/zuL5BvSER3955e8mHNJC8m3uvP6hm2jc1Pw8bdFFlfaS+7LscgPmwoJkaF1c4XVbd46l3jOEnmOoIDcu3dv/PTTT5g0aZLY7XGKWq3Giy++iPnz5yM2NtZie2VlJQAgLs587NDws2G7EHq9HiqVSvDzTVVU6ewOv1ZU1SIUf95ZrFarzf4fyGz1NSYyFFlpSVZ/b1lpSYiJDBXt/bHGndc3PNe0jMmUIVdsbUjc0bFdPZeEcud1eP4GnmDpJ+B8X6OjowW/hqCAvHTpUsycORNvvvkmJk2ahIQE67MHecq6devQtGlT3HXXXV59XQDQarU4ffq0oOeGhIQgrkkzIDQKKk09QkJC7e5fWa1G+cUyi8dLSkoEvb4/atzXkJAQzByVhg164FihyZBpahJmjkpDSVGB2bStYnPn9Q3P/f2a9WFtQz45JATmw8FOHFse39puu22dS64S43UC7fxt/LmOjggFdGqEhIQEXF9tCZZ+Ao772rNnT8HHFhSQhw0bBr1ej9dffx2vv/46IiIijBOBGMhkMvz3v/8V3DBbLl68iLfffhtr1qyBUqkEAONVg0qlQk1NjfEmM6VSiaSkP+9OraqqAgC3bkILDw9Hx44dBT23ulaP1Tv+nLhhyX05dvePj41Cs1bpxp/VajVKSkrQvn17REUFdq7OUV/nT8mEUqWDqlaH6MgwKKLDEBEGNGuS5pX2ufP6+hDrw9qGGuPXH7sNuvoGl479R5X9q9/G55JQ7rxOoJ6/jT/XwPURjZmj0hATgYDqa2OB+p5a442+CgrIQ4cOhUwmE7stTikrK4NWq8X9999vsW3atGnIyMjAq6++CuB6Ljk5+c85gYuLixEeHo42bdoIfn2ZTCZoSEKp0mD1jqNmH1pHQ5QJcZGItpKPi4qKcmtYxJ/Y6ms0gAQbdzN7gzuvnwiNzWHv9A6JUMS4nttOsHNMe+eSq8R4nUA6f619roHrIxwb9Nf/cAuUvtoTSO+pI57sq6CA/OKLL4rdDqelp6dj8+bNZo+dPn0aK1aswHPPPYfu3bujTZs2aN++PT7//HMMHjzYuF9+fj569+7tkzusrU25aGsaRE53GNjcKbvy5jF9+Tr+wu5UqoXlUKp0Pv3DkfyL383UFRcXh5wc60O9Xbt2RdeuXQEAc+fOxeOPP462bdsiJycH+fn5OHnyJLZs2eLN5hpZK4cxnQZxxh1dodXVs6YzSBjKriqqalFZrUZ8bBQS4iLdet+FlnJJ9XX8gaMyOFWt+zfSUfBwKiB//PHHAIAxY8ZAJpMZf3Zk7NixApvlvlGjRkGtViMvLw/r169Hhw4dsHr1amRlZfmkPbbKYQxlLgN6tkbyjb6ZYIV8QxEtRyh0KL9Yhmat0kUZUvbW1JmcovM6R2Vw0ZF+d81DPuTU2bJw4ULIZDKMGDECcrkcCxcudPgcmUzmtYCck5ODgoICi8cnTJiACRMmeKUNjhima7SVe+P0h0T+x+7nOjUJimgGZHKeU2fLvn37AMCYezX8TM5j7o0o8Nj7XM8clQY7U5sTWXDqdLnxxhvt/kzOYe6NKPBY+1zHRIaipKjAa2V4FBj495uXMfdGFHgaf65VKpVHJ6ihwORUQJ42bZrLB5bJZNi0aZPLzyMiIgpGTgVkvV5v8djvv/+O0tJSKBQK40QbZWVlqKqqQtu2bdGyZUtxW0pERBTAnArI//73v81+Pnr0KB5++GH8/e9/x5133omwsOuH0el0+PDDD/HKK69gxYoV4reWAlbj9XVjIkMtpmMlaeLayETiEJRDfumllzBu3DiLkqKwsDBMnDgRxcXFePHFF7F9+3ZRGkmBzdb6ujNH8YYYqePayETiEXQJUlBQYHc+6NatW6Ow0PqarkSm7K2vu2F3Aeo40ZFkOVobWanS+KhlRP5J0BVy8+bNkZ+fj0mTJhmHqw10Oh3y8/PRvHlzURpI5kJCQlCnA65eVtodIvSHYUSlSoMrlWrOBexD7pwn9uZxPn3uKqqZhiByiaCAPHPmTCxduhQTJ07ElClT0LZtWwDA+fPnsXXrVpw+fRpLly4VtaF0XdMWbbFy63G7Q4T+MIxoaOPQnPZ29+NcwJ7j7nliax7nSHkoFkzNxrqdJ83XjGYagsguQQF50qRJCAkJwWuvvYbFixcbl2LU6/VITEzEc889h4kTJ4raUALqdEDe7gIcL7Q+RGhYOcreMOKCqdk+v1I2Heq8o2+y3X05F7BnOBpuduY8sTWP8+jcFOw6WGyxrKjZkoTuNZ8oIAn+tpswYQLuvPNOnDp1Cr/99hsAoFWrVujWrZvFMDaJQ6nSWQRjg2MF5aisrjP+294+vg7IpkOddteE5lzAHmN32UAnzxNb8zh3bpeAbXut30PCNASRbW5924WFhSEzMxOZmZkiNYfsUdXaX+rN0VJwzu7jaaZtsLcmNOcC9pzG50GkPBSjc1PQuV0CNNoGaLUNUKo0doOyrXmcLWctMMc0BJF1bn3dnT17FqWlpaisrLS63ZfLLwai6Ej7S705WgrO2X08zbQNpmtCj8lNhkbbgBubxyA+JpxzAXuQ6XtgyPnuOlhsdmXrTD7Z2jzODQ32QzLTEETWCfpkXLhwAQsWLMDJkyetzuIFeHf5xWChiA5DVmqS2Y0yBqZLOEp9mcfGQ52GNaGB621cMDUbodBxLmAPMn0P7OV8ncknN57HWanScElCIgEEfTKWLFmCwsJCLFq0CNnZ2YiLY0LIGyLCgJl3pGHDp7C4M9Z0CUepL/PozFKUKhWHNT3J9D2wm/MVcN8BlyQkEkbQR+PHH3/EAw88gHvvvVfs9pADVy5dwPzJmaiprbdZO+oPyzz6QxsDneE9KL2ktLufkPsOuCQhkesEBeSEhAQoFAqx20JOaGhoQEQYkNDc/u/fH5Z59Ic2BjpFtBxxMcLKm5w5NpckJHKeoGlzJk+ejF27dqG+vl7s9hCRlxnyydZI5b4DomAg6Aq5ffv2aGhowJgxY3DXXXehZcuWCA0NtdhvyJAhbjeQiDzLmZw+EXmeoIA8f/5847//8Y9/WN1HJpPh9OnTwlpFXucPc1+T5zCn7xx+TsiTBAXkzZs3i90O8iF/mPuaPI85ffv4OSFPExSQb7nlFrHbQT4ixpzGRIGOnxPyBrfWQtNoNDh27Bj27t2Lq1evitUm8iJn5jQmCnb8nJA3CC7R37x5M1avXg2l8noN49tvv43evXvj6tWrGD58OBYsWIDx48eL1lDyDDHmNCYKdI5qsaUwRzz5P0FXyDt37sTy5cvRr18/vPDCC2bTZyYmJqJXr17Iz88XrZHkOdbmNC44X4Hn3zqCFzf/gEf++Q1e3nIU5dfUPmwlkW85qsWWwhzx5P8EBeR33nkHgwYNwquvvooBAwZYbO/atSvOnDnjduPI80xrUB3NaaxUaXzRRCKfY602eYOggHz+/Hnk5uba3N6kSRNcu3ZNaJvIiww1qFlpSejcLsHqusQA82QU3Ew/J6ZYq01iEpRDjouLQ0VFhc3tZ8+eRVKS9b8mSXo8OacxUaBgrTZ5mqAr5NzcXGzbtg1VVVUW286cOYPt27dj4MCBbjeOvMeTcxoTBQpFtBytmyuQ1i4RrZsrGIxJVIIC8rx581BfX49Ro0bhtddeg0wmw8cff4zHH38cd911FxITE/Hwww+L3VbyMObJiIh8R1BAbtGiBT788EP069cPn332GfR6PT755BN8/fXXGDlyJLZt24bExESx20oOKFUalF1WouD8VZRdVrp8ExbzZMHB3fOEiDxDcB1y06ZN8cILL+CFF17A1atX0dDQgMTERISEuDXXCAkk1rR+zJMFNk7/SCRdbkdPvV4PvV4PmUwGmUwmRpvIRY6m9RNypcw8WeAR+zwhInEJvkI+e/Ys3njjDRw8eBC1tbUAgMjISPTr1w9z5sxBamqqaI0k+5yZ1o9BlXieEEmboIB89OhRzJo1Cw0NDRg0aBDat28PADh37hz279+PAwcOYMOGDcjOzhazrWRDIEzr13hZu5jIUKY/RBYI5wkFHi5p+SdBAXn58uVITEzEli1bcMMNN5ht+9///od77rkHK1aswM6dO0VpJNnn79P62cprzhyV5sNWBR5/P08o8PCeBnOCLkHOnj2Lu+++2yIYA8ANN9yAKVOm4OzZs243jpzjz+VK9vKaG3YXoE7no4YFIH8+Tyjw8J4GS4ICcqtWraDR2P5labVatGzZUnCjyDX+XK5kN69ZWA6lihFZLP58nlDg4ZKWlgQNWc+ePRsrVqzAbbfdhvT0dLNtv/zyC7Zs2YJFixaJ0kByjr+WKznKW6pqGZDF5K/niTXMPfo33tNgSVBAPnHiBJo2bYpx48YhKysL7dq1AwCUlJTg+PHj6NSpE44fP47jx4+bPe+ZZ55xu8FkmyJa7ndfSI7yltGRggsByAZ/PE8aY+7R//GeBkuCvu22bNli/PePP/6IH3/80Wx7YWEhCgsLzR6TyWQMyGTBkNe0NnSVlZoERTQDMplzlHtcMDXb7//gCAZ2P/tBek+DoG+7X3/9Vex2UJAy5DVt3WUdwXhMjbCeOjDY++wH6z0N/Lojr7KW97OW14yJDEVJUQGaNWHpU7BrfM5Uq5h7DBSBdE+DGEQJyEVFRfj8889RXl6ODh064K677kJsbKwYh6YA4ijvZ/ohVKlUaGho8EUzSUKsnTPLHrzV7nOCMffozwLhngaxOF32tGXLFgwdOhRXr141e3z//v0YO3YsVq1aha1bt2LFihW48847Lfaj4MaaQ3KVrXPm5Nk/kNGJ9dQUeJwOyPv370ebNm3MllXU6XR45plnEBoaihUrVmD37t3429/+ht9++w1vvvmmRxpM/ok1h+QqW+fMrgNFGN0vmfXUFHCcHrI+e/YsJk6caPbYkSNHcPXqVTzwwAO48847AQCdOnXCr7/+im+//Za1yGTEmkNyla1zolZTj5e3HMWrj+YiJETG3CMFDKcD8rVr1yxm3zp8+DBkMhluv/12s8dvuukmfPXVV+K0kAICaw7JVfbOiVpNPUJCZGjdXOHFFhF5ltND1s2aNcMff/xh9tjRo0cRGRmJzp07mz0ul8sRHs4vWPoT51EmV/GcoWDjdEDu1q0bPvroI1RXVwMAzpw5g59++gn9+vVDWJj5hXZxcTHnsiYznEeZXMVzhoKN00PWs2fPxvjx4zF06FB07NgRP//8M2QyGe6//36Lfb/66iv06tVL1IaS/2PNIbnKn8+ZkJAQ1OmAq5eVftd28g2nA3JaWho2bdqEN998E6WlpcjIyMB9992Hbt26me135MgRREVFYdiwYaI3lvwfaw7JVf56zjRt0RYrtx7nfNvkNJcmBrnpppuwfv16u/vk5ORg9+7dbjWKiMif1emAvN0FOF7I+bbJeZw6k4hIZEqVziIYG5w+dxXVXDqSrGBAJiISmarWeg11pDwUC6ZmY93OkzhWyKFsMuf0XdZEROSc6EjrZZ+jc1Ow62CxWTAGOIUsXceATEQkMkV0GLJSLWuoO7dLwIkznEKWrGNAJiLRKFUalF1WouD8VZRdVgbtFV9EGDDzjjSLGmq9g+dxCtngxhwyEYnC0fKawebKpQuYPzkTNbX1xpu3Ghrsh2ROIRvceIVMRG7j8pqWGhoaEBEGtG6uQFq7RLRurkBCXCSnAyWbGJCJyG1cXtM5nA6U7OGQNRG5zZnlNRNjQ73UGmnz5+lAybMYkInIbVxe0zX+Oh0oeZbfDVl/9tlneOihh5Cbm4vMzEyMGTMGO3bsgF5vfrPE9u3bMXToUHTv3h2jR4/G119/7aMWEwU+LpVI5D6/C8gbN25EVFQUFi5ciHXr1iE3NxeLFy/GmjVrjPvs2bMHixcvxvDhw5GXl4fMzEzMmTMHx48f913DiQIYc6NE7vO7Iet169YhMTHR+HPv3r1x7do1vPPOO3j44YcREhKCN954AyNHjsS8efMAAL169UJhYSHWrFmDvLw8H7WcKLAlNYnCo5OzoKzRoEatQ0xUGBQxcjSNE6/kSck5oCmA+V1ANg3GBunp6di2bRtUKhUqKipQUlKCBQsWmO0zYsQIvPTSS9BoNJDL+QEmEpun65BZ50yBzu+GrK3573//ixYtWiA2NhbFxcUAgA4dOpjtk5KSAq1Wi9LSUl80kSigeboOmXXOFAz87gq5saNHjyI/Px9PPvkkAKCyshIAEBcXZ7af4WfDdqH0ej1UKpVbxxBKrVab/T+QBUtfA6WfFVU6u3XIFVW1iAm/XholpK/OHD8UOpeP6ymB8r46Eiz9BJzva3R0tODX8OuA/Pvvv2P+/PnIycnBtGnTvPKaWq0Wp0+f9spr2VJSUuLT1/emYOmrv/dTHt/a7vbKajXKK8sACOurU8e/WObycT3N399XZwVLPwHHfe3Zs6fgY/ttQK6qqsKsWbPQpEkTrFq1CiEh10ff4+PjAQBKpRJJSUlm+5tuFyo8PBwdO3Z06xhCqdVqlJSUoH379oiKCuycWbD0NVD6+UeV/avT+NgoxCS0F9xXZ47frFW6S8f0pEB5Xx0Jln4C3umrXwbk2tpaPPDAA1Aqlfjggw+gUCiM25KTkwEAxcXFxn8bfg4PD0ebNm3cem2ZTObWkIQYoqKifN4GbwmWvvp7PxOgQVZaktVh5ay0JCTERSL0/75uhPTVmeNHS/Bua39/X50VLP0EPNtXv7upS6fTYd68eSguLsaGDRvQokULs+1t2rRB+/bt8fnnn5s9np+fj969e/MOayIP8HQdMuucyVOktGSo310hP/fcc/j666+xcOFCVFdXm0320aVLF8jlcsydOxePP/442rZti5ycHOTn5+PkyZPYsmWL7xpOFOA8PUcz54AmsUmtlM7vAvKhQ4cAAC+++KLFtn379qF169YYNWoU1Go18vLysH79enTo0AGrV69GVlaWt5tLFFQ8PUcz54AmsTgqpVswNdvr55rfBeT9+/c7td+ECRMwYcIED7eGiIj8kTNLhjIgk9/itIbEc8A5/D35njNLhnobAzKJQmq5GPI+ngPO4e9JGqS4ZKjf3WVN0sNpDYnngHP4e5IOKS4ZyoBMbnMmF0OBjeeAc/h7kg4pltJxyJrcJsVcDHlXjVqLSHkoRuemoHO7BGi0DZCHh+DX8xXYdaAINWotEmNDfd1Mnwukz4pSpUFFlQ7y+Na4UqVDPTR+lweXWikdAzK5TYq5GPKu2OhwLJiajV0Hi7Ftb6Hx8YxOSVgwNRux0TwHgMD5rARSHlxKpXQcsia3STEXQ94VGRGGXQeLceKM+XDsiTPl2HWwGJER/NsfCIzPCvPgnsOATG6TYi6GvEtdq7MIxgYnzpRDXSudpRF9KRA+K8yDew7/bPUTUs/XSC0XQ97lTG7UkzlkX9T1Cn1Nf/+sBFIeXGoYkP2Av+RrpJSLIe/yZW7UF58Pd1/Tnz8rgZIHlyIOWUsc8zXkD3yVG/XF5yPYP5OBkAeXKgZkiWO+hvyBr3Kjvvh8BPtnMhDy4FLFIWsJU6o0qKqx/9e2WPkaofkwzslLBr7IjbqbzxRy/vo6Xy4Fhve6oqoWldVqxMdGISEukp99NzEgS5QhR3VH32S7+4mRrxGaD/OX3DZ5j7dzo+7kM4Wev8yhXqeIliMUOpRfLEOzVumIZjB2G4esJcg0R/Xr+QpkdPJcvkZoPizY82gkDULzme6cv8yhkqcwIEuQaY5q14EijO6XbBGUxcrXCM2HBXsejaRBaD7TnfOXOVTyFA5ZS5BpjqpWU49V245hzsQs/GVUF6hqdVBEhyMuVo6mce4PCwvNwbEWkXzNkP9V12nx8F0ZqK3ToaZWh5ioMChi7H8+3D1//b2WmKSJAVmCTHNQkfJQzJ2YZTEtoVi5WqH5MObRyJcM+d/T565iwdRsbNrzq0ufDzHOX3+uJSZp4pC1BJnmqEbnplidI1isXK3QfBjzaOQrpvlfoZ8Pnr8kRQzIEmSao+rcLsHmHMFi5GqF5sOYRyMDpUqDsstKFJy/irLLSo/f0Gea/xX6+eD5S1LEIWuJMuSoSi8p7e4nRq5WaD6MeTTyRemb6Tmv0TY4vW9jPH9JahiQJUwRLUdcjP0vB7FytULzYcyjBS9HpUMLpmZ75NwwPefl4fYH+Rx9Pnj+kpRwyFrimOsiqfJV6ZvpZ8LTdfpE3sSALHHMdZEnuZP/9VXpm+lnwtN1+kTexCFrP8B5Y8kT3M3/+rL0zTT/q6rVYvb4HtDqGqCu0zEXTH6LAdlPcN5YEpMY+V/D0LG1YWtvDBcz/0uBhkPWREFIjPwv0ylE4uIVMlEQciX/a2+JQl+WDnHpTwo0DMhEQcjZ/K8zeWZfDB1z6U8KRByyJgpCzpTTSXWJTam2i8hdDMhEQciZ/K9Ul9iUaruI3MUha6IgldQkCo9OzoKyRoMateWyhVJdYlOq7SJyFwMyUZBylIeV6hKbUm0Xkbs4ZE0UhJzJw0p12laptovIXQzIREHImTysVOuMpdouIndxyJooCDmbh5XqEoVSbZeUsW5b+hiQiYKQK3lYqU5RKdV2SRHrtv0Dh6yJghDzsMGDddv+gwGZKAgxDxs8WLftPzhkTRSk7OVhmW8MHKzb9h8MyERBzFoelvnGwMK6bf/BIWsiMmK+MfDwfgH/wYDsI0qVBmWXlSg4fxVll5XGLzpbjxN5A/ONgYf3C/gPDln7gLUhwZyuLTBzTHes3XmCQ4XkM8w3BibWbfsHXiF7ma0hwXY3xGP19hMcKiSfYr4xcCmi5WjdXIG0dolo3VzBYCxBDMheZmtIsHO7BJw4w6FC8i3mG4l8hwHZy2wN+Wm0DYKe5wzmpclZtvKNOV1bYM6ETFRW17l1HoWEhKBOB56PRFYwh+xltob85OH2/zYSOlTIEhYSok+PVrijbzI02gZEykOREBeJ1duO41ihe+dR0xZtsXLrcZ6PRFbwCtnLbA0J/nq+AhmdxB0qZAkLucpwzqzefgLPv3UEL27+Ab+UXMXbu382C8aA6+dRnQ7I213A85HIBgZkL7M1JHj+f5WYMyFD1NIElrCQq6ydM2Ld36BU6XC8kOcjkS0csvYBeyUIYpYmuFvC4sz0iZxiMbBYOyfEur9BVcuSKiJ7GJB9xNbScWIuKedOCYszuWfmpwOPtXNCrPsboiNZUkVkD4esA5jQEhZncs/MTwcma+eMWPc3KKLDkJXKkioiWxiQA5jQKfOcyT0zPx2YrJ0zuw4UYdLgVLfvb4gIA2bekcYpHIls4JC1hDXOz8ZEhiIkxLW/oYRMmSfG9InMB/ovW+eMGPc3XLl0AfMnZ6Kmtp73HRA1woAsUbbyszNHpbl8LFfz0mJMn8h8oH+zd4+DOxoaGhARBiQ0V7h1HKJAxCFrCbKXn92wuwB1Os++vjO5Z06xSEQkLgZkCbKbny0sh1Ll2YjsTO6ZS7oREYmLQ9YS5Cj/qqr18CUynMs9c0k3IiLxMCBLkKP8a3Skd942Z3LPYtZNExEFMw5ZS5Dd/GxqEhTR/DuKiCjQMCBLkL387Mw70hDBeExEFHD41S5R1vKzMZGhKCkqQLMmrpc+EXnDlSo1lDUa1Kh1iIkKgyJGjqZxnEaVyBkBHZCLioqwbNkyHDt2DDExMRgzZgzmzZsHudw/cp6N87MqlQoNDfYn+ifyld+v1GD19hNmK0NldErCnAkZaNk0xoctI/IPATtkXVlZienTp0Or1WLVqlWYP38+tm3bhhdffNHXTSMKOFeq1BbBGABOnCnH6u0ncKVK7aOWEfmPgL1C3rp1K2pqarB69Wo0adIEAFBfX4/nnnsODzzwAFq0aOHbBhIFEGWNxuaaySfOlENZo0FUPGdvI7InYK+QDxw4gN69exuDMQAMHz4cDQ0NOHTokO8aRhSAatT2a+MdbSeiAA7IxcXFSE5ONnssLi4OSUlJKC4u9lGriAJTTJT9wTZH24kogIesq6qqEBcXZ/F4fHw8KisrBR9Xr9dDpVK50zTB1Gq12f8DWbD0NVD6GRsVjoxOSVaHrTM6JSE2Kjxg+uqMYOlrsPQTcL6v0dHRgl8jYAOyp2i1Wpw+fdqnbSgpKfHp63tTsPTV3/sZFhaGh+/qjrU7f7K4y/rhu7rj4vkz0OmuD1v7e19dESx9DZZ+Ao772rNnT8HHDtiAHBcXB6VSafF4ZWUl4uPjBR83PDwcHTt2dKdpgqnVapSUlKB9+/aIigrs2s5g6Wug9XPe5ExUq7SoqdUhJjIMsdHhiJYDTTp1Cri+2hMsfQ2WfgLe6WvABuTk5GSLXLFSqUR5eblFbtkVMpnMrSEJMURFRfm8Dd4SLH0NlH5GRwPNmtjfJ1D66oxg6Wuw9BPwbF8D9qau3Nxc/Oc//0FVVZXxsc8//xwhISHo06ePD1tGRERkKWAD8uTJkxETE4PZs2fju+++w86dO/HSSy9h8uTJrEEmIiLJCdiAHB8fj02bNiE0NBSzZ8/Gq6++ivHjx2PhwoW+bhoREZGFgM0hA0BKSgo2btzo62YQERE5FLBXyERERP6EAZmIiEgCGJCJiIgkgAGZiIhIAhiQiYiIJIABmYiISAIYkImIiCRAptfr9b5uhL/48ccfodfrIZfLffL6er0eWq0W4eHhkMlkPmmDtwRLX4OlnwD7GoiCpZ+A832Vy+VIS0sT9BoBPTGI2Hx9wslkMp/9MeBtwdLXYOknwL4GomDpJ+CdvvIKmYiISAKYQyYiIpIABmQiIiIJYEAmIiKSAAZkIiIiCWBAJiIikgAGZCIiIglgQCYiIpIABmQiIiIJYEAmIiKSAAZkIiIiCWBAJiIikgAGZIn57LPP8NBDDyE3NxeZmZkYM2YMduzYgcZTjm/fvh1Dhw5F9+7dMXr0aHz99dc+arE4ampqkJubi7S0NPz0009m2wKlrx999BHGjh2L7t27IycnBzNnzkRtba1x+/79+zF69Gh0794dQ4cOxc6dO33YWmH27duHCRMmICsrC3379sWjjz6K0tJSi/387T09f/48lixZgjFjxqBLly4YNWqU1f2c6ZdSqcSiRYtwyy23ICsrC4888gguX77s6S44zVFfq6ursWrVKowfPx7Z2dm49dZb8eCDD6KgoMDiWFLuq7PvqcHevXuRlpZmdT+x+smALDEbN25EVFQUFi5ciHXr1iE3NxeLFy/GmjVrjPvs2bMHixcvxvDhw5GXl4fMzEzMmTMHx48f913D3bR27VrU19dbPB4ofV23bh3+/ve/Y8SIEXjrrbfw/PPPo3Xr1sY+Hz16FHPmzEFmZiby8vIwfPhwPP300/j888993HLnHTlyBHPmzEHHjh2xZs0aLFq0CL/++itmzJhh9oeHP76nZ86cwbfffot27dohJSXF6j7O9mvevHk4dOgQnn32Wbzyyis4d+4cZs2aBZ1O54WeOOaor7/99hs++OAD9OnTB6+99hr+/ve/Q6lUYtKkSSgqKjLbV8p9deY9NaitrcXy5cvRrFkzq9tF66eeJOXKlSsWjz3zzDP6m266SV9fX6/X6/X6IUOG6B977DGzfSZNmqSfOXOmV9ootrNnz+ozMzP177//vj41NVV/8uRJ47ZA6GtRUZG+S5cu+m+++cbmPjNmzNBPmjTJ7LHHHntMP3z4cE83TzSLFy/WDxw4UN/Q0GB87PDhw/rU1FT9Dz/8YHzMH99Tw2dPr9frn3zySf3IkSMt9nGmXz/++KM+NTVVf/DgQeNjRUVF+rS0NP2ePXs80HLXOeprTU2NXqVSmT1WXV2tv+WWW/TPP/+88TGp99WZ99Tgtdde099zzz1W9xOzn7xClpjExESLx9LT01FdXQ2VSoXS0lKUlJRg+PDhZvuMGDEChw8fhkaj8VZTRbNs2TJMnjwZHTp0MHs8UPr64YcfonXr1ujfv7/V7RqNBkeOHMGwYcPMHh8xYgSKiopQVlbmjWa6TafTISYmxmzdcIVCAQDGlIu/vqchIfa/Kp3t14EDBxAXF4c+ffoY90lOTkZ6ejoOHDggfsMFcNTX6OhoREVFmT0WExODtm3bmg3TSr2vjvppcOHCBbzzzjt45plnrG4Xs58MyH7gv//9L1q0aIHY2FgUFxcDgEXwSklJgVartZqvk7LPP/8chYWFmD17tsW2QOnriRMnkJqairVr16J3797o1q0bJk+ejBMnTgC4/oHXarVITk42e55hGM3we5C6cePGoaioCO+++y6USiVKS0vxz3/+E126dMFNN90EIHDe08ac7VdxcTE6dOhg9kcLcP0L3F/eZ2uqqqpw5swZs3M4UPr6wgsvYMyYMejcubPV7WL2kwFZ4o4ePYr8/HzMmDEDAFBZWQkAiIuLM9vP8LNhuz9Qq9V48cUXMX/+fMTGxlpsD5S+lpeX47vvvsMnn3yCpUuXYs2aNZDJZJgxYwauXLkSMP3Mzs7G6tWr8eqrryI7OxuDBw/GlStXkJeXh9DQUACB85425my/qqqqjKMGpuLj4/227wDw8ssvQyaTYcqUKcbHAqGv+/fvx7Fjx/Doo4/a3EfMfjIgS9jvv/+O+fPnIycnB9OmTfN1c0S3bt06NG3aFHfddZevm+JRer0eKpUKr7/+OoYNG4b+/ftj3bp10Ov12LJli6+bJ5off/wRTzzxBCZOnIhNmzbh9ddfR0NDA+6//36zm7oosOzcuRPbtm3DkiVL0LJlS183RzR1dXVYvnw55s6dazWV6AkMyBJVVVWFWbNmoUmTJli1apUx3xEfHw/g+m32jfc33S51Fy9exNtvv41HHnkESqUSVVVVUKlUAACVSoWampqA6WtcXByaNGliNuTVpEkTdOnSBWfPng2Yfi5btgy9evXCwoUL0atXLwwbNgzr16/HL7/8gk8++QRA4Jy/jTnbr7i4OFRXV1s8v7Ky0i/7/u2332LJkiV4+OGHceedd5pt8/e+btq0CSEhIRg5ciSqqqpQVVUFrVaLhoYGVFVVGe8LELOfDMgSVFtbiwceeABKpRIbNmwwGw4x5Gga5yaKi4sRHh6ONm3aeLWtQpWVlUGr1eL+++/HzTffjJtvvhkPPvggAGDatGn461//GjB97dixo81tdXV1aNu2LcLDw632E4BFblmqioqKLPJsLVu2REJCAi5cuAAgcM7fxpztV3JyMs6dO2cxr8C5c+f85n02OH78OB599FGMHTvW6pCuv/e1uLgY58+fR+/evY3fUZ9++imKiopw8803G+cJELOfDMgSo9PpMG/ePBQXF2PDhg1o0aKF2fY2bdqgffv2FvWp+fn56N27N+RyuTebK1h6ejo2b95s9t9TTz0FAHjuueewdOnSgOnrgAEDcO3aNZw+fdr4WEVFBX7++Wd07doVcrkcOTk5+OKLL8yel5+fj5SUFLRu3drbTRakVatW+OWXX8weu3jxIioqKnDjjTcCCJzztzFn+5Wbm4vKykocPnzYuM+5c+fwyy+/IDc316ttdsfZs2fxwAMPoFevXnjuuees7uPvfZ01a5bFd1Tfvn1x4403YvPmzRg4cCAAcfsZJmoPyG3PPfccvv76ayxcuBDV1dVmkwp06dIFcrkcc+fOxeOPP462bdsiJycH+fn5OHnypF/lI+Pi4pCTk2N1W9euXdG1a1cACIi+Dh48GN27d8cjjzyC+fPnIyIiAuvXr4dcLsfdd98NAHjooYcwbdo0PPvssxg+fDiOHDmCTz/9FCtXrvRx6503efJkLF++HMuWLcPAgQNx7do1430CpuVA/vieqtVqfPvttwCu/5FRXV1tDL633HILEhMTneqXYQazRYsW4cknn0RERARWrlyJtLQ0DBkyxCd9a8xRX/V6Pe677z5ERERg+vTpOHXqlPG5sbGxxhEhqffVUT9TUlIsJgz56KOPcOnSJbPvLjH7KdM3vs4mnxo4cCAuXrxoddu+ffuMV0vbt29HXl4efvvtN3To0AGPPfYYBgwY4M2miu7IkSOYNm0aduzYge7duxsfD4S+Xr16FStWrMDXX38NrVaL7OxsPPXUU2bD2fv27cNrr72Gc+fOoVWrVrj//vsxfvx4H7baNXq9Hlu3bsX777+P0tJSxMTEIDMzE/Pnz7f4YvO397SsrAyDBg2yum3z5s3GL2hn+qVUKrFixQp89dVX0Ol06Nu3L5555hmL0TBfcdRXADZvMr3lllvw73//2/izlPvq7HtqauHChTh16hQ+/fRTs8fF6icDMhERkQQwh0xERCQBDMhEREQSwIBMREQkAQzIREREEsCATEREJAEMyERERBLAgExERCQBDMhEREQSwIBMFGA+/PBDpKWloayszNdN8SsnT55Et27dzGbKGzhwIB544AGXjmOY49ia999/H7fddptxpSAiUwzIRP/n3XffRVpaGiZMmODrpnjFqlWrkJaWhqtXr/q6KZKwcuVKjBw50rgQhieMGzcOWq0WW7du9dhrkP9iQCb6P7t378aNN96IkydP4vz5875uDnnR6dOn8Z///AeTJ0926zj19fVoaGhAXV2d1e0REREYO3YsNm7caLFcHxEDMhGA0tJSHDt2DE899RQSExOxe/duXzeJvGjnzp1o1aoVMjMzBT3/7NmzuPfee5GRkYH//e9/6NGjB/r06WN1acLhw4fj4sWL+P77791sNQUaBmQiXL86jo+PR//+/TF06FCrAbmsrAxpaWl466238MEHH2Dw4MHo1q0b7rrrLpw8edJs34ULFyIrKwuXLl3Cww8/jKysLPTq1Qv/+Mc/UF9fb9zvyJEjSEtLw5EjR6y+1ocffmh87Ndff8XChQsxaNAgdO/eHX369MFTTz2FiooK0X4P9957L0aNGmUWYPr164e8vDyLfevq6rBq1SoMHToU3bt3R9++fTFnzhxcuHDBuI9KpcKLL76I/v37o1u3bhg6dCjeeusti6vDtLQ0PP/88/jss88wYsQI9OjRA5MmTUJBQQEAYOvWrbj99tvRvXt33HvvvVbz4ydOnMB9992Hnj17IiMjA1OnTsV///tfp/q9b98+9OrVCzKZzOG+H330Ebp06YJ//OMfAK6vYf7www/j3LlzeOaZZ9CsWTOsXLkSEydONPtdGHTr1g1NmjTBvn37nGobBQ+uh0yE6wH59ttvh1wux6hRo/D+++/j5MmT6NGjh8W+n376KWpqajBp0iTIZDJs2LABc+fOxd69exEeHm7cr76+Hvfddx969OiBJ554AocPH8bbb7+NNm3aGNdBdsV//vMflJaWYty4cUhKSsKZM2ewbds2nD17Ftu2bXMqmDijsrISM2fOxO23347hw4fjiy++wCuvvILU1FT079/f2LcHHngAhw8fxsiRIzFt2jTU1NTg0KFDKCwsRNu2baHX6/HQQw/hyJEjGD9+PNLT03Hw4EG89NJLuHTpEhYtWmT2ukePHsX+/fuNv5v169fjwQcfxMyZM/Hee+/h7rvvRmVlJTZs2IBFixYZlwIEgMOHD2PWrFno1q0b5syZA5lMhg8//BDTp0/He++9Z/V9NLh06RJ+++03dOnSxeHv5oMPPsDSpUvxwAMPYP78+QCuL0Z//vx5vPLKK7jjjjuwfv16jBgxwu5xunTpgh9//NHh61GQ0RMFuZ9++kmfmpqqP3TokF6v1+sbGhr0ubm5+mXLlpntV1paqk9NTdXfcsst+mvXrhkf37t3rz41NVW/f/9+42NPPvmkPjU1Vb969WqzY4wdO1Z/5513Gn/+/vvv9ampqfrvv//e6mvt3LnT+JharbZo+6effqpPTU3V//DDD8bHdu7cqU9NTdWXlpba7fcbb7yhT01N1V+5csX42NSpU/Wpqan6jz76yPhYXV2dvk+fPvq5c+caH9uxY4c+NTVV/84771gct6GhQa/X6/VfffWVPjU1Vb927Vqz7XPnztWnpaXpz58/b3wsNTVV361bN7M2b926VZ+amqrv06ePXqlUGh9/9dVXzfrX0NCgHzJkiH7GjBnG19brr/++Bg4cqP/rX/9q9/fwn//8x+L9MxgwYID+/vvv1+v1ev2mTZv0aWlp+jVr1pjtc/bsWX1qaqp+27Ztxuc4snjxYn2PHj0c7kfBhUPWFPR2796NZs2aGRckl8lkGDFiBPLz882Glw1GjBiB+Ph448/Z2dkAruehG5syZYrZzz179hRcjhQZGWn8d11dHa5evYqMjAwAwM8//yzomNZER0djzJgxxp/lcjm6d+9u1r8vv/wSCQkJmDp1qsXzDVfqBw4cQGhoKO69916z7TNmzIBer8eBAwfMHu/duzdat25t/NnQtyFDhiA2Ntb4uOFq19Ce06dPo6SkBHfccQcqKipw9epVXL16FSqVCr1798YPP/yAhoYGm/01DPnHxcXZ3CcvLw8vvPACHn/8cTz88MNm2zp06ICsrCwsX74cy5YtQ01NDS5dumTzWIbXqq2thVqttrsfBRcOWVNQq6+vx549e5CTk2MWKHv06IG3334bhw8fRt++fc2ec8MNN5j9bAjOVVVVZo9HREQgMTHRYt/KykpBbb127RpWr16N/Px8XLlyxWybUqkUdExrWrZsaTH8HR8fb8znAsCFCxfQoUMHhIXZ/gq5ePEimjdvbhZMASAlJcW43VTj36vheS1btjR7XKFQAPjz911SUgIAePLJJ222RalUmv0RZY3exl3P/+///T988803mDVrFmbOnGmxPSQkBBs2bMC//vUvfPbZZ7h27Rpyc3PRqVMnPPbYY1brkg2vJVaagQIDAzIFte+//x7l5eXYs2cP9uzZY7F99+7dFgE5NDTU6rEaf6Hb2s+UrS9ka1d08+bNw7Fjx3DfffchPT0d0dHRaGhowMyZM0UtoXGm3Z5g63Ud/b4N/3/iiSeQnp5udd/o6Gibr5uQkADA8g8qg06dOqGqqgqffPIJJk2ahDZt2ljsExsbi7/97W/429/+hoEDB+KJJ57Av/71L8yePRtbtmxBz549zfavqqpCVFSU2agHEQMyBbXdu3ejadOmWLJkicW2r776Cl999RWee+45j31xGoZJG1/hNr56rKysxOHDhzF37lzMmTPH+Ljh6tDb2rZtixMnTkCr1ZrdyGbqxhtvxOHDh1FdXW12lVxcXGzcLgZDgIyNjcWtt97q8vOTk5MBwGYqISEhAW+88Qbuvvtu/OUvf8F7772HFi1a2D3msGHDcMstt+DWW2/F3r17LQJyWVmZ8XWJDJhDpqBVW1uLL7/8ErfddhuGDRtm8d8999yDmpoa7N+/32NtuPHGGxEaGooffvjB7PH333/f7GdbV4mbNm3yWNvsGTJkCCoqKvDuu+9abDNcsebm5qK+vt5in40bN0ImkyE3N1eUtnTr1g1t27bF22+/jZqaGovtjmYia9GiBW644QacOnXK5j4tW7bEO++8g7q6OsyYMcOs1Ky6uho6nc7iOYb7DyIiIiy2/fLLL7jpppvstouCD6+QKWjt378fNTU1NucezszMRGJiInbt2uWwjEUohUKBYcOGYcuWLZDJZGjTpg2++eYbixxxbGwsbr75ZmzYsAFarRYtWrTAoUOHfDZf9dixY/Hxxx9jxYoVOHnyJHr27Am1Wo3Dhw9jypQpGDx4MAYOHIicnBysXLkSFy9eRFpaGg4dOoR9+/Zh+vTpaNu2rShtCQkJwbJlyzBr1iyMGjUK48aNQ4sWLXDp0iUcOXIEsbGxePPNN+0eY9CgQfjqq6+g1+ttphHatWuHt956C9OmTcN9992HzZs3IzY2Fj///DOWLFmCu+66C127doVGo8HHH3+Md955B2FhYRg2bJjZcU6dOoVr165h0KBBovSfAgevkClo7dq1CxEREejTp4/V7SEhIbjtttvw3XffiTr5RmPPPPMMBg0ahK1bt+L111/HDTfcYJx0wtSrr76Kvn374r333sM///lPhIWFWZ2wwxtCQ0ORl5eHBx98ECdOnMCKFSuwceNGxMTEIC0tDcD139+6deswffp0fP3111ixYgWKiorwxBNP4KmnnhK1PTk5Ofjggw/QrVs3bNmyBX//+9/x0UcfoVmzZpg+fbrD59911124dOmSw4lE0tLSkJeXh5KSEjz44IOora1Feno6xowZgy+++ALz589HeXk5XnjhBcTGxiIvLw+dO3c2O8bnn3+OVq1aoVevXm71mQKPTC/m3SBERH5q+vTpaN68OV5++WW3jjNw4ECbaQ6NRoOBAwdi1qxZTv2hQMGFV8hERAAee+wxfPbZZxY31Ilp586dCAsLs6hPJwJ4hUxEJKqNGzfiL3/5i6+bQX6IAZmIiEgCOGRNREQkAQzIREREEsCATEREJAEMyERERBLAgExERCQBDMhEREQSwIBMREQkAQzIREREEsCATEREJAEMyERERBLw/wHkwAnWXOYjWAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* From the above relation plot maximum people annual income is $40-60k and the sepending score 40-60"
      ],
      "metadata": {
        "id": "MsbgIWLbLWnB"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### To seperate the spending score in 5 parts for better understanding "
      ],
      "metadata": {
        "id": "c-mYjRHLL-_G"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ss_1_20 = df[\"Spending Score (1-100)\"][(df[\"Spending Score (1-100)\"] >= 1) & (df[\"Spending Score (1-100)\"] <= 20)]\n",
        "ss_21_40 = df[\"Spending Score (1-100)\"][(df[\"Spending Score (1-100)\"] >= 21) & (df[\"Spending Score (1-100)\"] <= 40)]\n",
        "ss_41_60 = df[\"Spending Score (1-100)\"][(df[\"Spending Score (1-100)\"] >= 41) & (df[\"Spending Score (1-100)\"] <= 60)]\n",
        "ss_61_80 = df[\"Spending Score (1-100)\"][(df[\"Spending Score (1-100)\"] >= 61) & (df[\"Spending Score (1-100)\"] <= 80)]\n",
        "ss_81_100 = df[\"Spending Score (1-100)\"][(df[\"Spending Score (1-100)\"] >= 81) & (df[\"Spending Score (1-100)\"] <= 100)]\n",
        "\n",
        "\n",
        "ssx = [\"1-20\",\"21-40\",\"41-60\",\"61-80\",\"81-100\"]\n",
        "ssy = [len(ss_1_20.values),len(ss_21_40.values),len(ss_41_60.values),len(ss_61_80.values),len(ss_81_100.values)]\n",
        "\n",
        "plt.figure(figsize=(15,6))\n",
        "sns.barplot(x=ssx, y= ssy, palette=\"rocket\")\n",
        "plt.title(\"Spending scores\")\n",
        "plt.xlabel(\"Score\")\n",
        "plt.ylabel(\"Number of Custmers Having the score\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "ympU6GVnZgS4",
        "outputId": "fb7a3a6b-93a1-4e1e-9095-eb7ef3db5805"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x600 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* In the spending score the maximum values range is 41-60 points"
      ],
      "metadata": {
        "id": "Xm_9VB-mM__W"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### To divide the annual income to 5 equal parts"
      ],
      "metadata": {
        "id": "uicIhEktNPXN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Ai_0_30 = df[\"Annual Income (k$)\"][(df[\"Annual Income (k$)\"] >= 0) & (df[\"Annual Income (k$)\"] <= 30)]\n",
        "Ai_31_60 = df[\"Annual Income (k$)\"][(df[\"Annual Income (k$)\"] >= 31) & (df[\"Annual Income (k$)\"] <= 60)]\n",
        "Ai_61_90 = df[\"Annual Income (k$)\"][(df[\"Annual Income (k$)\"] >= 61) & (df[\"Annual Income (k$)\"] <= 90)]\n",
        "Ai_91_120 = df[\"Annual Income (k$)\"][(df[\"Annual Income (k$)\"] >= 91) & (df[\"Annual Income (k$)\"] <= 120)]\n",
        "Ai_121_150 = df[\"Annual Income (k$)\"][(df[\"Annual Income (k$)\"] >= 121) & (df[\"Annual Income (k$)\"] <= 150)]\n",
        "\n",
        "\n",
        "Aix = [\"$ 0 - 30,000\",\"$ 30,001 - 60,000\",\"$ 60,001 - 90,000\",\"$ 90,001 - 120,000\",\"$ 120,001 - 150,000\"]\n",
        "Aiy = [len(Ai_0_30.values),len(Ai_31_60.values),len(Ai_61_90.values),len(Ai_91_120.values),len(Ai_121_150.values)]\n",
        "\n",
        "plt.figure(figsize=(15,6))\n",
        "sns.barplot(x=Aix, y= Aiy, palette=\"colorblind\")\n",
        "plt.title(\"Annual Income\")\n",
        "plt.xlabel(\"Income\")\n",
        "plt.ylabel(\"Number of Custmers\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "0Xadd4bsazqV",
        "outputId": "654c9a8c-08df-482f-ccac-7e48dc740630"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x600 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* The maximum annual income range is $60-90K per year"
      ],
      "metadata": {
        "id": "HxZI63DrNZrF"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Model Building"
      ],
      "metadata": {
        "id": "dCa6Z87gNtde"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Import the Kmeans clustering algorithm\n",
        "* It is an iterative algorithm that divides the unlabeled dataset into k different clusters in such a way that each dataset belongs only one group that has similar properties.\n",
        "* To cluster the Age and spending score columns"
      ],
      "metadata": {
        "id": "FGoKDoVAN3TG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X1 =  df.loc[:, [\"Age\",\"Spending Score (1-100)\"]].values\n",
        "\n",
        "from sklearn.cluster import KMeans\n",
        "wcss=[]\n",
        "\n",
        "for k in range(1,11):\n",
        "  kmeans = KMeans(n_clusters=k,init=\"k-means++\")\n",
        "  kmeans.fit(X1)\n",
        "  wcss.append(kmeans.inertia_)\n",
        "plt.figure(figsize=(11,5))\n",
        "plt.grid()\n",
        "plt.plot(range(1,11),wcss, linewidth = 2, color=\"red\", marker =\"8\")\n",
        "plt.xlabel(\"k value\")\n",
        "plt.ylabel(\"wcss\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "RBfnaXr2csew",
        "outputId": "017a7548-4909-4670-ed79-73feb295921f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1100x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* The optimize k value is 4 clusters\n"
      ],
      "metadata": {
        "id": "pk3PDID8O3Uc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Build a cluster model\n",
        "* To create a clauster for the 4 clusters"
      ],
      "metadata": {
        "id": "3G3P8SXdPF1U"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans(n_clusters=4)\n",
        "\n",
        "label = kmeans.fit_predict(X1)\n",
        "\n",
        "print(label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hFgkWY5xf7OK",
        "outputId": "f0e30334-369d-46f3-f67e-2c3e919e3606"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2 1 3 1 2 1 3 1 3 1 3 1 3 1 3 1 2 2 3 1 2 1 3 1 3 1 3 2 3 1 3 1 3 1 3 1 3\n",
            " 1 3 1 0 1 0 2 3 2 0 2 2 2 0 2 2 0 0 0 0 0 2 0 0 2 0 0 0 2 0 0 2 2 0 0 0 0\n",
            " 0 2 0 2 2 0 0 2 0 0 2 0 0 2 2 0 0 2 0 2 2 2 0 2 0 2 2 0 0 2 0 2 0 0 0 0 0\n",
            " 2 2 2 2 2 0 0 0 0 2 2 2 1 2 1 0 1 3 1 3 1 2 1 3 1 3 1 3 1 3 1 2 1 3 1 0 1\n",
            " 3 1 3 1 3 1 3 1 3 1 3 1 0 1 3 1 3 1 3 1 3 2 3 1 3 1 3 1 3 1 3 1 3 1 3 1 2\n",
            " 1 3 1 3 1 3 1 3 1 3 1 3 1 3 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Check the centroid \n",
        "* We need to choose some random k points or centroid to form the cluster. These points can be either the points from the dataset or any other point. So, here we are selecting the below two points as k points, which are not the part of our dataset. consider the image given below"
      ],
      "metadata": {
        "id": "CqYpjChBPlMW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(kmeans.cluster_centers_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "icC84LZJi4rg",
        "outputId": "cc65e007-8e6e-4e49-c818-8bf244744c87"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[55.70833333 48.22916667]\n",
            " [30.1754386  82.35087719]\n",
            " [27.61702128 49.14893617]\n",
            " [43.29166667 15.02083333]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(X1[:,0],X1[:,1], c=kmeans.labels_, cmap='rainbow')\n",
        "plt.scatter(kmeans.cluster_centers_[:,0],kmeans.cluster_centers_[:,1], color='black')\n",
        "plt.title(\"Clusters of customers\")\n",
        "plt.xlabel(\"Age\")\n",
        "plt.ylabel(\"Spending score(1-100)\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "p0aIysRLjEfp",
        "outputId": "f9f0ccfc-4419-4b5a-9063-e1f6f0302398"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Build a cluster in Annual income and spending score\n",
        "* It is an iterative algorithm that divides the unlabeled dataset into k different clusters in such a way that each dataset belongs only one group that has similar properties.\n",
        "* To cluster the Annual income and spending score columns"
      ],
      "metadata": {
        "id": "lWqfge71P_As"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X2 =  df.loc[:, [\"Annual Income (k$)\",\"Spending Score (1-100)\"]].values\n",
        "\n",
        "from sklearn.cluster import KMeans\n",
        "wcss=[]\n",
        "\n",
        "for k in range(1,11):\n",
        "  kmeans = KMeans(n_clusters=k,init=\"k-means++\")\n",
        "  kmeans.fit(X2)\n",
        "  wcss.append(kmeans.inertia_)\n",
        "plt.figure(figsize=(11,5))\n",
        "plt.grid()\n",
        "plt.plot(range(1,11),wcss, linewidth = 2, color=\"red\", marker =\"8\")\n",
        "plt.xlabel(\"k value\")\n",
        "plt.ylabel(\"wcss\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "b6GBnN3Cj7Wz",
        "outputId": "e8819f55-7c4b-485d-fe6f-fd5edf7cfa08"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1100x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* The optimize k value is 5 clusters\n"
      ],
      "metadata": {
        "id": "c0bmqzg-QaQ9"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Build a cluster model\n",
        "* To create a model with the 5 clusters"
      ],
      "metadata": {
        "id": "VH7QhaU0QlqU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans(n_clusters=5)\n",
        "\n",
        "label = kmeans.fit_predict(X2)\n",
        "\n",
        "print(label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rrrFQoBvkrtO",
        "outputId": "347f8198-ec00-43e3-b933-f76666c2bb77"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4 0 4\n",
            " 0 4 0 4 0 4 3 4 0 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3\n",
            " 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3\n",
            " 3 3 3 3 3 3 3 3 3 3 3 3 2 1 2 3 2 1 2 1 2 3 2 1 2 1 2 1 2 1 2 3 2 1 2 1 2\n",
            " 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1\n",
            " 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Check the centroid \n",
        "* We need to choose some random k points or centroid to form the cluster. These points can be either the points from the dataset or any other point. So, here we are selecting the below two points as k points, which are not the part of our dataset. consider the image given below"
      ],
      "metadata": {
        "id": "3wY0LWlUQxim"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(kmeans.cluster_centers_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i_NRCD82krfK",
        "outputId": "d00beb33-f67b-4d39-85f4-2838c5007e15"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[25.72727273 79.36363636]\n",
            " [88.2        17.11428571]\n",
            " [86.53846154 82.12820513]\n",
            " [55.2962963  49.51851852]\n",
            " [26.30434783 20.91304348]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(X2[:,0],X2[:,1], c=kmeans.labels_, cmap='rainbow')\n",
        "plt.scatter(kmeans.cluster_centers_[:,0],kmeans.cluster_centers_[:,1], color='black')\n",
        "plt.title(\"Clusters of customers\")\n",
        "plt.xlabel(\"Annual Income (k$)\")\n",
        "plt.ylabel(\"Spending score(1-100)\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "Xtl8Pq5ek3t2",
        "outputId": "eee1a57c-96e2-471c-bedf-35edccf2ed35"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Build a cluster in Annual income, spending score and Age\n",
        "* It is an iterative algorithm that divides the unlabeled dataset into k different clusters in such a way that each dataset belongs only one group that has similar properties.\n",
        "* To cluster the Annual income, spending score and Age columns"
      ],
      "metadata": {
        "id": "695rlAWFQ0bV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X3 =  df.iloc[:,1:]\n",
        "\n",
        "from sklearn.cluster import KMeans\n",
        "wcss=[]\n",
        "\n",
        "for k in range(1,11):\n",
        "  kmeans = KMeans(n_clusters=k,init=\"k-means++\")\n",
        "  kmeans.fit(X3)\n",
        "  wcss.append(kmeans.inertia_)\n",
        "plt.figure(figsize=(11,5))\n",
        "plt.grid()\n",
        "plt.plot(range(1,11),wcss, linewidth = 2, color=\"red\", marker =\"8\")\n",
        "plt.xlabel(\"k value\")\n",
        "plt.ylabel(\"wcss\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 473
        },
        "id": "Dd_jy95rlGHS",
        "outputId": "6711e1b9-9dbe-4034-f753-8b9a40b605bf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1100x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "* The optimize k value is 5 clusters\n"
      ],
      "metadata": {
        "id": "_2RudSxyRITk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans(n_clusters=5)\n",
        "\n",
        "label = kmeans.fit_predict(X3)\n",
        "\n",
        "print(label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9gqa3z5VlF4O",
        "outputId": "a545435b-6a05-4b23-f5fb-349a3f6cac92"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2\n",
            " 0 2 0 2 0 2 0 2 0 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3\n",
            " 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3\n",
            " 3 3 3 3 3 3 3 3 3 3 3 3 1 4 1 3 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 3 1 4 1 4 1\n",
            " 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1 4\n",
            " 1 4 1 4 1 4 1 4 1 4 1 4 1 4 1]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Check the centroid \n",
        "* We need to choose some random k points or centroid to form the cluster. These points can be either the points from the dataset or any other point. So, here we are selecting the below two points as k points, which are not the part of our dataset. consider the image given below"
      ],
      "metadata": {
        "id": "JYgiv8JSRT4v"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(kmeans.cluster_centers_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "13cBDJVElmp4",
        "outputId": "9cc2f344-0f4e-4695-ffef-c3ce42a88600"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[25.52173913 26.30434783 78.56521739]\n",
            " [32.69230769 86.53846154 82.12820513]\n",
            " [45.2173913  26.30434783 20.91304348]\n",
            " [43.08860759 55.29113924 49.56962025]\n",
            " [40.66666667 87.75       17.58333333]]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Insights\n",
        "K-means clustering is a popular unsupervised machine learning technique that is often used in customer segmentation. Customer segmentation involves dividing a customer base into groups of individuals who share similar characteristics, needs, or behaviors. K-means clustering helps identify patterns within customer data and group customers based on their similarities, allowing businesses to improve their marketing strategies to better understand the needs of each customer segment."
      ],
      "metadata": {
        "id": "yPyvTiOCRZ0M"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "55yEwMTklp5l"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}