Shoppping_Trend.ipynb

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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/Harsh-Gopal/shopping_trends/blob/main/Shoppping_Trend.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
      "source": [
        "<h1 style=\"font-size: 40px; text-align: center;\">Identifying Shopping Trends using Data Analysis</h1>\n"
      ],
      "metadata": {
        "id": "WVzx_oqwtShu"
      }
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    {
      "cell_type": "markdown",
      "source": [
        "![](https://i.gifer.com/75ez.gif)\n"
      ],
      "metadata": {
        "id": "vUvxNlTksSOv"
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    {
      "cell_type": "code",
      "source": [
        "# Copyright (c) 2025 Harsh Gopal\n",
        "# All rights reserved.\n",
        "#\n",
        "# This code is the intellectual property of Harsh Gopal(Harsh Kumar). Unauthorized copying,\n",
        "# redistribution, or use of any part of this code is strictly prohibited without\n",
        "# written permission. This notebook and its content are for educational and\n",
        "# personal use only.\n",
        "#\n",
        "# For inquiries, please contact: hey.harshgopal@gmail.com\n"
      ],
      "metadata": {
        "id": "iX2cNINyprhI"
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      "execution_count": null,
      "outputs": []
    },
    {
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      "source": [
        "<div style=\"color: White; display: fill;\n",
        "            border-radius: 5px;\n",
        "            background-color: #123456;\n",
        "            font-size: 100%;\n",
        "            font-family: Verdana\">\n",
        "\n",
        "<p style=\"padding: 7px; color: Black;\">\n",
        "      <ul>  \n",
        "        ◆ <b>InvoiceNo</b> - Unique identifier for each invoice.<br>\n",
        "        ◆ <b>StockCode</b> - Unique code for each product.<br>\n",
        "        ◆ <b>Description</b> - Description of the purchased product.<br>\n",
        "        ◆ <b>Quantity</b> - Number of units purchased.<br>\n",
        "        ◆ <b>InvoiceDate</b> - Date and time of the purchase.<br>\n",
        "        ◆ <b>UnitPrice</b> - Price per unit of the purchased item.<br>\n",
        "        ◆ <b>CustomerID</b> - Unique identifier for each customer.<br>\n",
        "        ◆ <b>Country</b> - Country where the purchase was made.<br>\n",
        "        ◆ <b>Discount</b> - Discount applied to the purchase.<br>\n",
        "        ◆ <b>PaymentMethod</b> - Customer's preferred payment method.<br>\n",
        "        ◆ <b>ShippingCost</b> - Cost of shipping for the order.<br>\n",
        "        ◆ <b>Category</b> - Category of the purchased product.<br>\n",
        "        ◆ <b>SalesChannel</b> - Indicates if the purchase was made online or in-store.<br>\n",
        "        ◆ <b>ReturnStatus</b> - Status indicating whether the item was returned.<br>\n",
        "        ◆ <b>ShipmentProvider</b> - Logistics provider handling the shipment.<br>\n",
        "        ◆ <b>WarehouseLocation</b> - The warehouse from which the product was shipped.<br>\n",
        "        ◆ <b>OrderPriority</b> - Priority level assigned to the order (e.g., High, Medium, Low).<br><br>\n",
        "    <p style = \"padding: 3px; color: Black;\">\n",
        "</p>\n",
        "</div>\n"
      ],
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    {
      "cell_type": "code",
      "source": [
        "!pip install WordCloud"
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        "outputId": "b04c7e7b-ba7a-4855-ebad-a1227dff67a0"
      },
      "execution_count": 84,
      "outputs": [
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          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: WordCloud in /usr/local/lib/python3.11/dist-packages (1.9.4)\n",
            "Requirement already satisfied: numpy>=1.6.1 in /usr/local/lib/python3.11/dist-packages (from WordCloud) (1.26.4)\n",
            "Requirement already satisfied: pillow in /usr/local/lib/python3.11/dist-packages (from WordCloud) (11.1.0)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.11/dist-packages (from WordCloud) (3.10.0)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.11/dist-packages (from matplotlib->WordCloud) (1.3.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.11/dist-packages (from matplotlib->WordCloud) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.11/dist-packages (from matplotlib->WordCloud) (4.55.6)\n",
            "Requirement already satisfied: kiwisolver>=1.3.1 in /usr/local/lib/python3.11/dist-packages (from matplotlib->WordCloud) (1.4.8)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from matplotlib->WordCloud) (24.2)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.11/dist-packages (from matplotlib->WordCloud) (3.2.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.11/dist-packages (from matplotlib->WordCloud) (2.8.2)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.11/dist-packages (from python-dateutil>=2.7->matplotlib->WordCloud) (1.17.0)\n"
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      "cell_type": "code",
      "source": [
        "# Importing libraries\n",
        "import numpy as np # Importing the numpy library for array operations and mathematical functions\n",
        "import pandas as pd # Use for exploring the data\n",
        "import seaborn as sns # It has also plot\n",
        "import matplotlib.pyplot as plt # For some extra plot functions\n",
        "import plotly.express as px # This library can makes interactive plots\n"
      ],
      "metadata": {
        "id": "1bPNSHhvUQPl"
      },
      "execution_count": 85,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Reading the data set\n",
        "shop = pd.read_csv('online_sales_dataset.csv')"
      ],
      "metadata": {
        "id": "hxBnGYtsUuCJ"
      },
      "execution_count": 86,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "shop.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M-1GDjllU01B",
        "outputId": "2cf450f1-bb5d-49fa-bec8-992fb7ae5c0d"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(49782, 17)"
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "shop.to_excel('online_sales_dataset.xlsx')\n"
      ],
      "metadata": {
        "id": "kdjBDnuiU4AZ"
      },
      "execution_count": 88,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "shop.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "SAgPZXzCVx2y",
        "outputId": "b7215bb1-fae2-46b7-a937-94cc6ebc23ba"
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      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceNo              int64\n",
              "StockCode             object\n",
              "Description           object\n",
              "Quantity               int64\n",
              "InvoiceDate           object\n",
              "UnitPrice            float64\n",
              "CustomerID           float64\n",
              "Country               object\n",
              "Discount             float64\n",
              "PaymentMethod         object\n",
              "ShippingCost         float64\n",
              "Category              object\n",
              "SalesChannel          object\n",
              "ReturnStatus          object\n",
              "ShipmentProvider      object\n",
              "WarehouseLocation     object\n",
              "OrderPriority         object\n",
              "dtype: object"
            ],
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    },
    {
      "cell_type": "code",
      "source": [
        "# It shows the names of the columns\n",
        "shop.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "outputId": "88370f7a-b835-4bcd-d20f-556fea17f2e7"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['InvoiceNo', 'StockCode', 'Description', 'Quantity', 'InvoiceDate',\n",
              "       'UnitPrice', 'CustomerID', 'Country', 'Discount', 'PaymentMethod',\n",
              "       'ShippingCost', 'Category', 'SalesChannel', 'ReturnStatus',\n",
              "       'ShipmentProvider', 'WarehouseLocation', 'OrderPriority'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "shop.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fyKeXEJHWAiJ",
        "outputId": "2907b978-25cc-4d71-8fc5-773ef4282fe4"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 49782 entries, 0 to 49781\n",
            "Data columns (total 17 columns):\n",
            " #   Column             Non-Null Count  Dtype  \n",
            "---  ------             --------------  -----  \n",
            " 0   InvoiceNo          49782 non-null  int64  \n",
            " 1   StockCode          49782 non-null  object \n",
            " 2   Description        49782 non-null  object \n",
            " 3   Quantity           49782 non-null  int64  \n",
            " 4   InvoiceDate        49782 non-null  object \n",
            " 5   UnitPrice          49782 non-null  float64\n",
            " 6   CustomerID         44804 non-null  float64\n",
            " 7   Country            49782 non-null  object \n",
            " 8   Discount           49782 non-null  float64\n",
            " 9   PaymentMethod      49782 non-null  object \n",
            " 10  ShippingCost       47293 non-null  float64\n",
            " 11  Category           49782 non-null  object \n",
            " 12  SalesChannel       49782 non-null  object \n",
            " 13  ReturnStatus       49782 non-null  object \n",
            " 14  ShipmentProvider   49782 non-null  object \n",
            " 15  WarehouseLocation  46297 non-null  object \n",
            " 16  OrderPriority      49782 non-null  object \n",
            "dtypes: float64(4), int64(2), object(11)\n",
            "memory usage: 6.5+ MB\n"
          ]
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    {
      "cell_type": "code",
      "source": [
        "shop.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mCJbz2IOWD9p",
        "outputId": "c3181ac2-b031-4d6b-c74d-730a507b9f9e"
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      "execution_count": 92,
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        {
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          "data": {
            "text/plain": [
              "(49782, 17)"
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          },
          "metadata": {},
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "shop.isnull().sum()"
      ],
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      "execution_count": 93,
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          "output_type": "execute_result",
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            "text/plain": [
              "InvoiceNo               0\n",
              "StockCode               0\n",
              "Description             0\n",
              "Quantity                0\n",
              "InvoiceDate             0\n",
              "UnitPrice               0\n",
              "CustomerID           4978\n",
              "Country                 0\n",
              "Discount                0\n",
              "PaymentMethod           0\n",
              "ShippingCost         2489\n",
              "Category                0\n",
              "SalesChannel            0\n",
              "ReturnStatus            0\n",
              "ShipmentProvider        0\n",
              "WarehouseLocation    3485\n",
              "OrderPriority           0\n",
              "dtype: int64"
            ],
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              "      <td>3485</td>\n",
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              "      <th>OrderPriority</th>\n",
              "      <td>0</td>\n",
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          "metadata": {},
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    },
    {
      "cell_type": "code",
      "source": [
        "# Print unique values for selected columns in the dataset\n",
        "print(f\"The unique values of the 'Country' column are: {shop['Country'].unique()}\")\n",
        "print()  # Blank line\n",
        "\n",
        "print(f\"The unique values of the 'Category' column are: {shop['Category'].unique()}\")\n",
        "print()  # Blank line\n",
        "\n",
        "print(f\"The unique values of the 'SalesChannel' column are: {shop['SalesChannel'].unique()}\")\n",
        "print()  # Blank line\n",
        "\n",
        "print(f\"The unique values of the 'ReturnStatus' column are: {shop['ReturnStatus'].unique()}\")\n",
        "print()  # Blank line\n",
        "\n",
        "print(f\"The unique values of the 'ShipmentProvider' column are: {shop['ShipmentProvider'].unique()}\")\n",
        "print()  # Blank line\n",
        "\n",
        "print(f\"The unique values of the 'OrderPriority' column are: {shop['OrderPriority'].unique()}\")\n",
        "print()  # Blank line\n",
        "\n",
        "print(f\"The unique values of the 'Discount' column are: {shop['Discount'].unique()}\")\n",
        "print()  # Blank line\n",
        "\n",
        "print(f\"The unique values of the 'PaymentMethod' column are: {shop['PaymentMethod'].unique()}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XQu_K8pAWGq1",
        "outputId": "0a50cfec-fbe5-40f8-b740-d85f92b641f2"
      },
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The unique values of the 'Country' column are: ['Australia' 'Spain' 'Germany' 'Netherlands' 'United Kingdom' 'Sweden'\n",
            " 'Belgium' 'Norway' 'Italy' 'Portugal' 'France' 'United States']\n",
            "\n",
            "The unique values of the 'Category' column are: ['Apparel' 'Electronics' 'Accessories' 'Stationery' 'Furniture']\n",
            "\n",
            "The unique values of the 'SalesChannel' column are: ['In-store' 'Online']\n",
            "\n",
            "The unique values of the 'ReturnStatus' column are: ['Not Returned' 'Returned']\n",
            "\n",
            "The unique values of the 'ShipmentProvider' column are: ['UPS' 'Royal Mail' 'FedEx' 'DHL']\n",
            "\n",
            "The unique values of the 'OrderPriority' column are: ['Medium' 'High' 'Low']\n",
            "\n",
            "The unique values of the 'Discount' column are: [0.47       0.19       0.35       ... 1.56908153 1.4206646  1.13986873]\n",
            "\n",
            "The unique values of the 'PaymentMethod' column are: ['Bank Transfer' 'paypall' 'Credit Card']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **OBSERVATION:**\n",
        "Upon examining the dataset, we find that it consists of 49,782 rows and 17 columns. This dataset is well-structured and appears to contain essential information for analyzing online shopping trends.\n",
        "\n",
        "Understanding the Columns:\n",
        "- **InvoiceNo:** Unique identifier for each transaction, allowing us to track purchases.\n",
        "- **StockCode:** Unique product identifier, helping in distinguishing different items.\n",
        "- **Description:** Name or description of the purchased product, useful for understanding product preferences.\n",
        "Quantity: Number of units purchased in a transaction, allowing demand analysis.\n",
        "- **InvoiceDate:** Date and time of the purchase, useful for identifying shopping trends over time.\n",
        "UnitPrice: Price per unit of the purchased item, enabling revenue and pricing analysis.\n",
        "- **CustomerID:** Unique identifier for each customer, helping in customer segmentation.\n",
        "Country: Location where the purchase was made, useful for regional trend analysis.\n",
        "- **Discount:** Discount applied to the purchase, allowing us to analyze the impact of promotions.\n",
        "PaymentMethod: The method used by the customer to complete the purchase (e.g., Credit Card, PayPal).\n",
        "- **ShippingCost:** Cost incurred for shipping, helping in understanding logistics expenses.\n",
        "- **Category:** The product category (e.g., Electronics, Apparel, Stationery), aiding in category-based analysis.\n",
        "- **SalesChannel:** Whether the transaction was online or in-store, useful for understanding customer preferences.\n",
        "- **ReturnStatus:** Indicates whether the product was returned or not, useful for return rate analysis.\n",
        "- **ShipmentProvider:** The logistics company handling the shipment (e.g., DHL, FedEx, UPS).\n",
        "- **WarehouseLocation:** The warehouse from which the product was shipped, helping in supply chain analysis.\n",
        "- **OrderPriority: ** The priority level of the order (High, Medium, Low), useful for analyzing order fulfillment urgency.\n",
        "\n",
        "With this rich and diverse dataset, we can explore customer shopping behaviors, analyze seasonal and regional trends, and understand pricing, discounts, and return rates. The dataset provides a great foundation for performing Exploratory Data Analysis (EDA), customer segmentation, and predictive analytics."
      ],
      "metadata": {
        "id": "GcwGxsDNX0Wc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1. What is the overall distribution of order priorities (High, Medium, Low) in the dataset?"
      ],
      "metadata": {
        "id": "zvhO7ob9ZpNa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Distribution of order priorities\n",
        "order_priority_distribution = shop['OrderPriority'].value_counts()\n",
        "\n",
        "# Plotting\n",
        "sns.countplot(x='OrderPriority', data=shop)\n",
        "plt.title('Distribution of Order Priorities')\n",
        "plt.show()\n",
        "\n",
        "# Display the value counts\n",
        "print(order_priority_distribution)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 561
        },
        "id": "LdcbjcpUfWaO",
        "outputId": "94dd60e1-b049-47d6-b23e-77bee4a94da6"
      },
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "OrderPriority\n",
            "Medium    16678\n",
            "High      16562\n",
            "Low       16542\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2. How does the average purchase amount (Quantity × UnitPrice) vary across different product categories?"
      ],
      "metadata": {
        "id": "7znA4mspa1xu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate the purchase amount\n",
        "shop['PurchaseAmount'] = shop['Quantity'] * shop['UnitPrice']\n",
        "\n",
        "# Average purchase amount by category\n",
        "avg_purchase_by_category = shop.groupby('Category')['PurchaseAmount'].mean()\n",
        "\n",
        "# Plotting\n",
        "avg_purchase_by_category.plot(kind='bar', color='skyblue')\n",
        "plt.title('Average Purchase Amount by Category')\n",
        "plt.xlabel('Category')\n",
        "plt.ylabel('Average Purchase Amount')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(avg_purchase_by_category)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 664
        },
        "id": "PabVhXZGc8PS",
        "outputId": "0121d0dd-c6f9-4150-a830-67cb12fc7ff1"
      },
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Category\n",
            "Accessories    1207.755599\n",
            "Apparel        1209.443412\n",
            "Electronics    1205.427170\n",
            "Furniture      1213.338375\n",
            "Stationery     1204.554771\n",
            "Name: PurchaseAmount, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 3. Which country has the highest number of purchases?"
      ],
      "metadata": {
        "id": "Z6P33ritbAx5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Count the number of purchases per country\n",
        "country_purchases = shop['Country'].value_counts()\n",
        "\n",
        "# Plotting\n",
        "country_purchases.plot(kind='barh', color='salmon')\n",
        "plt.title('Number of Purchases by Country')\n",
        "plt.xlabel('Number of Purchases')\n",
        "plt.ylabel('Country')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(country_purchases)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 722
        },
        "id": "GX2cEGEcc8mu",
        "outputId": "9617c5c3-40e1-4ca1-e55e-fc83e3b5446b"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Country\n",
            "France            4230\n",
            "Sweden            4211\n",
            "Germany           4182\n",
            "United Kingdom    4180\n",
            "Netherlands       4173\n",
            "Belgium           4170\n",
            "Portugal          4163\n",
            "Norway            4157\n",
            "Australia         4110\n",
            "Spain             4100\n",
            "United States     4058\n",
            "Italy             4048\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 4. What are the most commonly purchased items in each product category?"
      ],
      "metadata": {
        "id": "boh_ALwNbGJp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Most commonly purchased items by category\n",
        "most_common_items_by_category = shop.groupby('Category')['Description'].apply(lambda x: x.mode()[0])\n",
        "\n",
        "# Display the result\n",
        "print(most_common_items_by_category)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lGJ-otkSc9X7",
        "outputId": "ccff0d72-2da6-402d-e524-b384e7a0698e"
      },
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Category\n",
            "Accessories    Wall Clock\n",
            "Apparel        Headphones\n",
            "Electronics     USB Cable\n",
            "Furniture        Backpack\n",
            "Stationery     Wall Clock\n",
            "Name: Description, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 5. Are there specific seasons or months where customer spending is significantly higher?\n"
      ],
      "metadata": {
        "id": "Cv9I5nBQbMbf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert 'InvoiceDate' column to datetime format if it's not already\n",
        "shop['InvoiceDate'] = pd.to_datetime(shop['InvoiceDate'], errors='coerce')\n",
        "\n",
        "# Extract Month from the InvoiceDate\n",
        "shop['Month'] = shop['InvoiceDate'].dt.month\n",
        "\n",
        "# Define seasons based on months\n",
        "def get_season(month):\n",
        "    if month in [12, 1, 2]:\n",
        "        return 'Winter'\n",
        "    elif month in [3, 4, 5]:\n",
        "        return 'Spring'\n",
        "    elif month in [6, 7, 8]:\n",
        "        return 'Summer'\n",
        "    else:\n",
        "        return 'Fall'\n",
        "\n",
        "# Apply the function to create a new column for the season\n",
        "shop['Season'] = shop['Month'].apply(get_season)\n",
        "\n",
        "# Calculate the total spending per month or season\n",
        "shop['TotalSpending'] = shop['Quantity'] * shop['UnitPrice']\n",
        "\n",
        "# Group by month or season and calculate the total spending\n",
        "monthly_spending = shop.groupby('Month')['TotalSpending'].sum()\n",
        "seasonal_spending = shop.groupby('Season')['TotalSpending'].sum()\n",
        "\n",
        "# Plotting for Monthly Spending\n",
        "plt.figure(figsize=(10,6))\n",
        "monthly_spending.plot(kind='line', color='b', marker='o')\n",
        "plt.title('Total Spending by Month')\n",
        "plt.xlabel('Month')\n",
        "plt.ylabel('Total Spending')\n",
        "plt.grid(True)\n",
        "plt.xticks(ticks=range(1, 13), labels=['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
        "plt.show()\n",
        "\n",
        "# Plotting for Seasonal Spending using Plotly Sunburst\n",
        "import plotly.express as px\n",
        "\n",
        "# Plotting Seasonal Spending\n",
        "fig = px.sunburst(seasonal_spending.reset_index(),\n",
        "                  path=['Season'],\n",
        "                  values='TotalSpending',\n",
        "                  title='Total Spending by Season')\n",
        "fig.show()\n",
        "\n",
        "# Display the result\n",
        "print(\"Monthly Spending Distribution:\")\n",
        "print(monthly_spending)\n",
        "\n",
        "print(\"\\nSeasonal Spending Distribution:\")\n",
        "print(seasonal_spending)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "qL8SEhtzc9w5",
        "outputId": "3223109f-0898-4418-dfb1-1bdbc83771fd"
      },
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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          "text": [
            "Monthly Spending Distribution:\n",
            "Month\n",
            "1     5439090.76\n",
            "2     4912296.45\n",
            "3     5413847.12\n",
            "4     5232818.51\n",
            "5     5325693.90\n",
            "6     5130827.02\n",
            "7     5351044.55\n",
            "8     5398988.96\n",
            "9     4511390.46\n",
            "10    4494615.67\n",
            "11    4434258.58\n",
            "12    4497661.11\n",
            "Name: TotalSpending, dtype: float64\n",
            "\n",
            "Seasonal Spending Distribution:\n",
            "Season\n",
            "Fall      13440264.71\n",
            "Spring    15972359.53\n",
            "Summer    15880860.53\n",
            "Winter    14849048.32\n",
            "Name: TotalSpending, dtype: float64\n"
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    },
    {
      "cell_type": "markdown",
      "source": [
        "## 6. How does the return rate vary across different product categories?"
      ],
      "metadata": {
        "id": "EaBFZRizbR-7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert 'InvoiceDate' to datetime if it's not already in datetime format\n",
        "shop['InvoiceDate'] = pd.to_datetime(shop['InvoiceDate'])\n",
        "\n",
        "# Extract Month from the InvoiceDate\n",
        "shop['Month'] = shop['InvoiceDate'].dt.month\n",
        "\n",
        "# Calculate total spending per month\n",
        "shop['MonthlySpending'] = shop['Quantity'] * shop['UnitPrice']\n",
        "\n",
        "# Group by month and calculate the total spending for each month\n",
        "monthly_spending = shop.groupby('Month')['MonthlySpending'].sum().reset_index()\n",
        "\n",
        "# Plot the total spending per month\n",
        "import plotly.express as px\n",
        "fig = px.line(monthly_spending, x='Month', y='MonthlySpending', title='Monthly Spending Trend')\n",
        "fig.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "WxKNeSa3c-JJ",
        "outputId": "c1018aaf-4d69-4d7a-fade-41b1ce9bcf38"
      },
      "execution_count": 100,
      "outputs": [
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    },
    {
      "cell_type": "markdown",
      "source": [
        "## 7. Are there any notable differences in purchase behavior between online and in-store sales channels?"
      ],
      "metadata": {
        "id": "_uP2VrqjbWZe"
      }
    },
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      "cell_type": "code",
      "source": [
        "# Average purchase amount by sales channel\n",
        "purchase_behavior_by_channel = shop.groupby('SalesChannel')['PurchaseAmount'].mean()\n",
        "\n",
        "# Plotting\n",
        "purchase_behavior_by_channel.plot(kind='bar', color='orange')\n",
        "plt.title('Average Purchase Behavior by Sales Channel')\n",
        "plt.xlabel('Sales Channel')\n",
        "plt.ylabel('Average Purchase Amount')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(purchase_behavior_by_channel)\n"
      ],
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          "height": 581
        },
        "id": "G2AL25h9c-3g",
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      },
      "execution_count": 101,
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SalesChannel\n",
            "In-store    1212.319804\n",
            "Online      1203.969982\n",
            "Name: PurchaseAmount, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 8.Which payment method is the most popular among customers?"
      ],
      "metadata": {
        "id": "sGTsgRFTbaO0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Count payment method occurrences\n",
        "payment_method_distribution = shop['PaymentMethod'].value_counts()\n",
        "\n",
        "# Plotting\n",
        "payment_method_distribution.plot(kind='pie', autopct='%1.1f%%', startangle=90)\n",
        "plt.title('Payment Method Distribution')\n",
        "plt.ylabel('')  # Hide the y-axis label\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(payment_method_distribution)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "JQxbCJ8cc_Ps",
        "outputId": "06f71066-87aa-4a2a-c7af-ed55168433d5"
      },
      "execution_count": 102,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "PaymentMethod\n",
            "Bank Transfer    16747\n",
            "Credit Card      16530\n",
            "paypall          16505\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 9. Do customers who receive discounts tend to spend more than those who don't?"
      ],
      "metadata": {
        "id": "zII7-_ZJbgsm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting a Pie Chart to visualize the distribution of spending based on discount status\n",
        "import plotly.express as px\n",
        "\n",
        "fig = px.pie(discount_spending.reset_index(), names='Discount', values='PurchaseAmount',\n",
        "             color='Discount',\n",
        "             labels={'Discount': 'Discount Status', 'PurchaseAmount': 'Total Spending'},\n",
        "             title='Total Spending Distribution by Discount Status')\n",
        "\n",
        "fig.update_layout(xaxis_tickmode='array', xaxis_tickvals=[0, 1], xaxis_ticktext=['No Discount', 'With Discount'])\n",
        "fig.show()\n",
        "\n",
        "# Display the result in the console\n",
        "print(discount_spending)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "FDQEkKwdc_ma",
        "outputId": "3f2a78b3-9fe0-4898-feb8-1b3ee242169d"
      },
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "<head><meta charset=\"utf-8\" /></head>\n",
              "<body>\n",
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          "metadata": {}
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        {
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          "text": [
            "Discount\n",
            "False      634677.91\n",
            "True     59507855.18\n",
            "Name: PurchaseAmount, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 10. How does the frequency of purchases vary across different countries?\n"
      ],
      "metadata": {
        "id": "GuG8myr0boOa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Frequency of purchases by country\n",
        "country_purchase_frequency = shop['Country'].value_counts()\n",
        "\n",
        "# Plotting\n",
        "sns.barplot(x=country_purchase_frequency.index, y=country_purchase_frequency.values, palette='Blues')\n",
        "plt.title('Frequency of Purchases by Country')\n",
        "plt.xlabel('Country')\n",
        "plt.ylabel('Purchase Frequency')\n",
        "plt.xticks(rotation=90)\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(country_purchase_frequency)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 944
        },
        "id": "6-UiV59adADi",
        "outputId": "957b5f82-c271-4500-8e76-a342e50dcce7"
      },
      "execution_count": 104,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-104-ff8fa2ae52e2>:5: FutureWarning:\n",
            "\n",
            "\n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Country\n",
            "France            4230\n",
            "Sweden            4211\n",
            "Germany           4182\n",
            "United Kingdom    4180\n",
            "Netherlands       4173\n",
            "Belgium           4170\n",
            "Portugal          4163\n",
            "Norway            4157\n",
            "Australia         4110\n",
            "Spain             4100\n",
            "United States     4058\n",
            "Italy             4048\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##11. Are there any correlations between shipping cost and order priority?"
      ],
      "metadata": {
        "id": "KAlCDcAFbsQO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Average shipping cost by order priority\n",
        "shipping_cost_by_priority = shop.groupby('OrderPriority')['ShippingCost'].mean()\n",
        "\n",
        "# Plotting\n",
        "shipping_cost_by_priority.plot(kind='bar', color='red')\n",
        "plt.title('Average Shipping Cost by Order Priority')\n",
        "plt.xlabel('Order Priority')\n",
        "plt.ylabel('Average Shipping Cost')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(shipping_cost_by_priority)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 602
        },
        "id": "BsSmDUS3dAbf",
        "outputId": "1bb4cdc9-8787-4109-930f-1a5c6dae20c9"
      },
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "OrderPriority\n",
            "High      17.536817\n",
            "Low       17.553980\n",
            "Medium    17.393376\n",
            "Name: ShippingCost, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 12. Which shipment provider is preferred for different product categories?"
      ],
      "metadata": {
        "id": "xX2fqfHtbwRP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Most common shipment provider by category\n",
        "shipment_provider_by_category = shop.groupby('Category')['ShipmentProvider'].apply(lambda x: x.mode()[0])\n",
        "\n",
        "# Display the result\n",
        "print(shipment_provider_by_category)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z2KBJ0n-dBC2",
        "outputId": "dee4d524-9c9b-41d9-add4-4bb6a4c6ea74"
      },
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Category\n",
            "Accessories    FedEx\n",
            "Apparel          DHL\n",
            "Electronics    FedEx\n",
            "Furniture        UPS\n",
            "Stationery       UPS\n",
            "Name: ShipmentProvider, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 13. How does the presence of a discount affect the purchase decision of customers?"
      ],
      "metadata": {
        "id": "WLQj_HC9b1Is"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate the average purchase amount with and without discount\n",
        "purchase_by_discount = shop.groupby('Discount')['PurchaseAmount'].mean().reset_index()\n",
        "\n",
        "# Plotting with Seaborn barplot\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.figure(figsize=(8, 6))\n",
        "sns.barplot(x='Discount', y='PurchaseAmount', data=purchase_by_discount, palette='muted')\n",
        "plt.title('Average Purchase Amount by Discount Status')\n",
        "plt.xlabel('Discount Status')\n",
        "plt.ylabel('Average Purchase Amount')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(purchase_by_discount)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 939
        },
        "id": "MSdl-ujcdBcU",
        "outputId": "d19ebed5-298c-46d9-8f81-e96d3e7c1a7b"
      },
      "execution_count": 125,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-125-1682a6de9785>:9: FutureWarning:\n",
            "\n",
            "\n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "      Discount  PurchaseAmount\n",
            "0     0.000000     1274.453635\n",
            "1     0.010000     1240.865316\n",
            "2     0.020000     1196.686939\n",
            "3     0.030000     1234.392086\n",
            "4     0.040000     1191.425125\n",
            "...        ...             ...\n",
            "1042  1.998808      613.480000\n",
            "1043  1.998878      724.680000\n",
            "1044  1.998946     2074.600000\n",
            "1045  1.999605     3466.230000\n",
            "1046  1.999764      224.200000\n",
            "\n",
            "[1047 rows x 2 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 14. Are there any specific product descriptions that appear frequently in high-priority orders?"
      ],
      "metadata": {
        "id": "1XZDZiNdb4nX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Filter for high-priority orders\n",
        "high_priority_orders = shop[shop['OrderPriority'] == 'High']\n",
        "\n",
        "# Most common descriptions in high-priority orders\n",
        "common_descriptions_high_priority = high_priority_orders['Description'].value_counts().head(10)\n",
        "\n",
        "# Display the result\n",
        "print(common_descriptions_high_priority)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BMmv8lbsdBse",
        "outputId": "3f2b3ad0-ead0-4e57-d007-2f460ef4b0ba"
      },
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Description\n",
            "Headphones        1567\n",
            "Blue Pen          1539\n",
            "Backpack          1538\n",
            "USB Cable         1534\n",
            "Office Chair      1502\n",
            "Notebook          1502\n",
            "Wireless Mouse    1498\n",
            "Wall Clock        1495\n",
            "T-shirt           1485\n",
            "Desk Lamp         1458\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 15. What is the average number of items purchased per transaction?"
      ],
      "metadata": {
        "id": "OyuudqdIb9dR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Average number of items purchased per transaction\n",
        "avg_items_per_transaction = shop.groupby('InvoiceNo')['Quantity'].sum().mean()\n",
        "\n",
        "# Display the result\n",
        "print(f\"Average number of items purchased per transaction: {avg_items_per_transaction}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EDqMAmwQdCIw",
        "outputId": "f09e16f0-ab0b-421c-84f4-c729642a4e12"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Average number of items purchased per transaction: 22.966552563203695\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 16. How does the purchase amount differ based on return status?"
      ],
      "metadata": {
        "id": "WutAsH9HcC2W"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Average purchase amount by return status\n",
        "purchase_by_return_status = shop.groupby('ReturnStatus')['PurchaseAmount'].mean()\n",
        "\n",
        "# Plotting\n",
        "purchase_by_return_status.plot(kind='bar', color='brown')\n",
        "plt.title('Average Purchase Amount by Return Status')\n",
        "plt.xlabel('Return Status')\n",
        "plt.ylabel('Average Purchase Amount')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(purchase_by_return_status)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "YU3Iv1GLdCaT",
        "outputId": "080812fc-13f9-4588-9f8d-8e650efd6986"
      },
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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/B4Dy73nZ4b3KvOfNmzfH9u3b8ejRIxw/fhwTJ07E48eP0atXL1y4cOGN81d2+1GGN22DpBieZUYKO3DgANLT07Fx40Zs3Lix3PSYmBh07twZABAUFIRffvkFu3fvRkBAADZv3owGDRqgSZMmsv6lpaVwc3PD/PnzK1zey//MKgoT//zzD/z9/dGmTRv8/PPPsLW1ha6uLlatWoUNGzYovI6lpaUAgM8++wwhISEV9mncuPEbX6dGjRrw8fF55fRXfUMv28v2Mn19fWhpvf33GG1t7Qrbhf8/EBd4vrds1apVGDVqFLy9vSGVSiGRSBAUFCR7X4Dn4yCuXbuG33//Hfv27cOvv/6KBQsWYNmyZRg6dKisb3h4+Cu/yb8cRF+u6bfffkN+fn6FewQzMzORl5cnd4HCV61fZda7shT9nSlz2W8jKCgIo0ePRkxMDL799lusX78eHh4eFYa/irz4Gfb19UWDBg3QvXt3REVFYcyYMQCeby9WVlavHNtlaWn5xuUo+r6+7kuFMt5zPT09NG/eHM2bN8cHH3yAQYMGYcuWLW88k7ay28/bePm9eNM2SIphICKFxcTEwMrKCkuWLCk3bfv27dixYweWLVsGQ0NDtGnTBra2tti0aRNat26NAwcOlBtEWbduXZw5cwYdO3as1C78imzbtg0GBgbYu3cv9PX1Ze2rVq2S6+fg4IDS0lKkpqaiXr16svaXz0CxtLSEqakpSkpKXhto3lXZN9fs7Gy59rJv85VRt25d7N27F1lZWZXaS/QmW7duRUhICObNmydre/bsWbkaAcjOJBw0aBDy8vLQpk0bTJs2DUOHDpXtvdDV1X2r9/DQoUO4ffs2ZsyYUW6w6aNHjzBs2DDs3LnzrQYGv8zS0hJGRka4fPlyuWmXLl2ClpaWLJi/+Dt78WwkRX5nL3ubz31paSmuX78u2ysEAP/++y8AyE40AJ7/jrp164aYmBgEBwfj8OHDb31SAAB069YNbdu2xezZszF8+HAYGxujbt262L9/P1q1avXGvZ+vWldVvK/K4uHhAQBIT0+Xtb1qPSq7/bzud16tWrVy/QsLC+WWX+Z12yAphofMSCFPnz7F9u3b0b17d/Tq1avcIywsDI8fP5Ydb9fS0kKvXr3w559/Yt26dSguLi535lifPn1w586dCi/09vTpU+Tn57+xLm1tbUgkErlvUDdu3Ch34bSyPRU///yzXPvLV6HV1tZGYGAgtm3bVuEZJ/fv339jTZXh4OAAbW1txMfHy7W/XN/rBAYGQhAETJ8+vdy0t9kLoa2tXW6+xYsXl/t2+uKZacDz8TvOzs6yw6NWVlZo164dfvnllwr/kL/pPSw7XDZ27Nhyn7PQ0FDUq1dPaRdp1NbWRufOnfH777/LHW66d+8eNmzYgNatW8PMzAwAZGOwXvydlZ2C/bbKriVVUeh8nZ9++kn2syAI+Omnn6Crq4uOHTvK9evfvz8uXLiAsWPHQltbW26c1dsYP348Hj58KNtm+/Tpg5KSEnz//ffl+hYXF8utl7GxcYXrqYr3VVEHDx6scJv5+++/AUBur9qr1qOy28/rfud169Yt9zdh+fLlCm+DpBjuISKF/PHHH3j8+DH8/f0rnO7l5QVLS0vExMTIgk/fvn2xePFiTJ06FW5ubuW+7ffv3x+bN2/G559/joMHD6JVq1YoKSnBpUuXsHnzZtm1Rl6nW7dumD9/Prp06YJ+/fohMzMTS5YsgbOzs9wxdXd3dwQGBmLhwoV4+PAhvLy8cOjQIdk36xe/tc2ZMwcHDx6Ep6cnQkND4eLigqysLCQnJ2P//v3lTmV+G1KpFL1798bixYshkUhQt25d7Nq1S6ExF+3bt0f//v2xaNEiXLlyBV26dEFpaSn++ecftG/fXuH7l3Xv3h3r1q2DVCqFi4sLEhMTsX///nKXCnBxcUG7du3g7u4OCwsLnDx5Elu3bpVb3pIlS9C6dWu4ubkhNDQUderUwb1795CYmIjbt2/jzJkzFdZQUFCAbdu2oVOnTq+86Ka/vz+ioqKQmZkpd42YtzVz5kzExsaidevW+OKLL6Cjo4NffvkFBQUFiIyMlPXr3LkzateujSFDhsgCRnR0NCwtLZGWlvZWy27atCm0tbUxd+5c5OTkQF9fHx06dHjtehkYGGDPnj0ICQmBp6cndu/ejb/++gvffvttuUNU3bp1Q/Xq1bFlyxZ07dr1nd+vrl27olGjRpg/fz5GjhyJtm3bYvjw4YiIiMDp06fRuXNn6Orq4sqVK9iyZQuioqLQq1cvAM+3waVLl2LmzJlwdnaGlZUVOnTooJL3VVFffvklnjx5go8//hgNGjRAYWEhjhw5gk2bNsHR0VHuumru7u7Yv38/5s+fDzs7Ozg5OcHT07PS28/rfudDhw7F559/jsDAQHTq1AlnzpzB3r17UaNGDbnXqMw2SArQxKlt9P7q0aOHYGBgIOTn57+yz8CBAwVdXV3Z6eqlpaWCvb29AECYOXNmhfMUFhYKc+fOFVxdXQV9fX2hWrVqgru7uzB9+nQhJydH1g8vne77opUrVwr16tUT9PX1hQYNGgirVq2q8FTe/Px8YeTIkYKFhYVgYmIiBAQEyE5PnjNnjlzfe/fuCSNHjhTs7e0FXV1dwcbGRujYsaOwfPnyN75XDg4OlTol9v79+0JgYKBgZGQkVKtWTRg+fLhw/vz5Ck+7NzY2rvA1iouLhR9++EFo0KCBoKenJ1haWgpdu3YVkpKSZH1e9d69fCrvo0ePhEGDBgk1atQQTExMBF9fX+HSpUvl+s2cOVNo0aKFYG5uLhgaGgoNGjQQZs2aVe4U5WvXrgkDBgwQbGxsBF1dXaFmzZpC9+7dha1bt77yPdm2bZsAQFi5cuUr+/zvf/8TAAhRUVGCIDw/7d7V1bXC9avo91DR+5GcnCz4+voKJiYmgpGRkdC+fXvhyJEj5eZNSkoSPD09BT09PaF27drC/PnzX3l6eEXLbtu2bblTz1esWCHUqVNH0NbWfuMp+GWfhWvXrgmdO3cWjIyMBGtra2Hq1KlCSUlJhfN88cUX5S5L8Cav+wyvXr263Gd0+fLlgru7u2BoaCiYmpoKbm5uwrhx44S7d+/K+mRkZAjdunUTTE1NBQBy78O7vq9lp91v2bJFrr2iy1hUZPfu3cLgwYOFBg0aCCYmJoKenp7g7OwsfPnll8K9e/fk+l66dElo06aNYGhoKACQbRuV3X4E4dW/85KSEmH8+PFCjRo1BCMjI8HX11e4evXqW2+DVDkSQVDTyD6iKuz06dNo1qwZ1q9fX6kLuBG9b0aPHo2VK1ciIyMDRkZGmi6HqMrhGCISnadPn5ZrW7hwIbS0tNCmTRsNVESkWs+ePcP69esRGBjIMET0ChxDRKITGRmJpKQktG/fHjo6Oti9ezd2796NYcOGlTvFn+h9lpmZif3792Pr1q14+PAhvv76a02XRFRlMRCR6LRs2RKxsbH4/vvvkZeXh9q1a2PatGlvfU8loqrqwoULCA4OhpWVFRYtWiR3vy8ikscxRERERCR6HENEREREosdARERERKLHMUSVUFpairt378LU1PStby1BRERE6iUIAh4/fgw7O7s33geSgagS7t69y7OPiIiI3lO3bt1CrVq1XtuHgagSTE1NATx/Q8vuZ0RERERVW25uLuzt7WX/x1+HgagSyg6TmZmZMRARERG9Zyoz3IWDqomIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0NBqI4uPj0aNHD9jZ2UEikWDnzp2yaUVFRRg/fjzc3NxgbGwMOzs7DBgwAHfv3pV7jaysLAQHB8PMzAzm5uYYMmQI8vLy5PqcPXsWH330EQwMDGBvb4/IyEh1rB4RERG9JzQaiPLz89GkSRMsWbKk3LQnT54gOTkZkydPRnJyMrZv347Lly/D399frl9wcDBSUlIQGxuLXbt2IT4+HsOGDZNNz83NRefOneHg4ICkpCT88MMPmDZtGpYvX67y9SMiIqL3g0QQBEHTRQCARCLBjh07EBAQ8Mo+J06cQIsWLXDz5k3Url0bFy9ehIuLC06cOAEPDw8AwJ49e+Dn54fbt2/Dzs4OS5cuxXfffYeMjAzo6ekBACZMmICdO3fi0qVLlaotNzcXUqkUOTk5MDMze+d1fZ9scHXVdAmkRv1SUjRdAhGR0ijy//u9GkOUk5MDiUQCc3NzAEBiYiLMzc1lYQgAfHx8oKWlhWPHjsn6tGnTRhaGAMDX1xeXL1/Go0ePKlxOQUEBcnNz5R5ERET03/XeBKJnz55h/Pjx+PTTT2UpLyMjA1ZWVnL9dHR0YGFhgYyMDFkfa2truT5lz8v6vCwiIgJSqVT2sLe3V/bqEBERURWio+kCKqOoqAh9+vSBIAhYunSpypc3ceJEjBkzRvY8NzeXoYiI/nN4SFxceEj89ap8ICoLQzdv3sSBAwfkjgHa2NggMzNTrn9xcTGysrJgY2Mj63Pv3j25PmXPy/q8TF9fH/r6+spcDSIiIqrCqvQhs7IwdOXKFezfvx/Vq1eXm+7t7Y3s7GwkJSXJ2g4cOIDS0lJ4enrK+sTHx6OoqEjWJzY2FvXr10e1atXUsyJERERUpWk0EOXl5eH06dM4ffo0ACA1NRWnT59GWloaioqK0KtXL5w8eRIxMTEoKSlBRkYGMjIyUFhYCABo2LAhunTpgtDQUBw/fhyHDx9GWFgYgoKCYGdnBwDo168f9PT0MGTIEKSkpGDTpk2IioqSOyRGRERE4qbRQ2YnT55E+/btZc/LQkpISAimTZuGP/74AwDQtGlTufkOHjyIdu3aAQBiYmIQFhaGjh07QktLC4GBgVi0aJGsr1Qqxb59+zBy5Ei4u7ujRo0amDJlity1ioiIiEjcNBqI2rVrh9ddBqkyl0iysLDAhg0bXtuncePG+OeffxSuj4iIiMShSo8hIiIiIlIHBiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPY0Govj4ePTo0QN2dnaQSCTYuXOn3HRBEDBlyhTY2trC0NAQPj4+uHLlilyfrKwsBAcHw8zMDObm5hgyZAjy8vLk+pw9exYfffQRDAwMYG9vj8jISFWvGhEREb1HNBqI8vPz0aRJEyxZsqTC6ZGRkVi0aBGWLVuGY8eOwdjYGL6+vnj27JmsT3BwMFJSUhAbG4tdu3YhPj4ew4YNk03Pzc1F586d4eDggKSkJPzwww+YNm0ali9frvL1IyIioveDjiYX3rVrV3Tt2rXCaYIgYOHChZg0aRJ69uwJAFi7di2sra2xc+dOBAUF4eLFi9izZw9OnDgBDw8PAMDixYvh5+eHH3/8EXZ2doiJiUFhYSGio6Ohp6cHV1dXnD59GvPnz5cLTkRERCReVXYMUWpqKjIyMuDj4yNrk0ql8PT0RGJiIgAgMTER5ubmsjAEAD4+PtDS0sKxY8dkfdq0aQM9PT1ZH19fX1y+fBmPHj2qcNkFBQXIzc2VexAREdF/V5UNRBkZGQAAa2truXZra2vZtIyMDFhZWclN19HRgYWFhVyfil7jxWW8LCIiAlKpVPawt7d/9xUiIiKiKqvKBiJNmjhxInJycmSPW7duabokIiIiUqEqG4hsbGwAAPfu3ZNrv3fvnmyajY0NMjMz5aYXFxcjKytLrk9Fr/HiMl6mr68PMzMzuQcRERH9d1XZQOTk5AQbGxvExcXJ2nJzc3Hs2DF4e3sDALy9vZGdnY2kpCRZnwMHDqC0tBSenp6yPvHx8SgqKpL1iY2NRf369VGtWjU1rQ0RERFVZRoNRHl5eTh9+jROnz4N4PlA6tOnTyMtLQ0SiQSjRo3CzJkz8ccff+DcuXMYMGAA7OzsEBAQAABo2LAhunTpgtDQUBw/fhyHDx9GWFgYgoKCYGdnBwDo168f9PT0MGTIEKSkpGDTpk2IiorCmDFjNLTWREREVNVo9LT7kydPon379rLnZSElJCQEq1evxrhx45Cfn49hw4YhOzsbrVu3xp49e2BgYCCbJyYmBmFhYejYsSO0tLQQGBiIRYsWyaZLpVLs27cPI0eOhLu7O2rUqIEpU6bwlHsiIiKSkQiCIGi6iKouNzcXUqkUOTk5ohtPtMHVVdMlkBr1S0nRdAmkRty+xUWM27ci/7+r7BgiIiIiInVhICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0VM4EKWlpaGii1sLgoC0tDSlFEVERESkTgoHIicnJ9y/f79ce1ZWFpycnJRSFBEREZE6KRyIBEGARCIp156Xlyd301UiIiKi90Wl73Zfdid6iUSCyZMnw8jISDatpKQEx44dQ9OmTZVeIBEREZGqVToQnTp1CsDzPUTnzp2Dnp6ebJqenh6aNGmC8PBw5VdIREREpGKVDkQHDx4EAAwaNAhRUVEwMzNTWVFERERE6lTpQFRm1apVqqiDiIiISGMUDkT5+fmYM2cO4uLikJmZidLSUrnp169fV1pxREREROqgcCAaOnQoDh06hP79+8PW1rbCM86IiIiI3icKB6Ldu3fjr7/+QqtWrVRRDxEREZHaKXwdomrVqsHCwkIVtRARERFphMKB6Pvvv8eUKVPw5MkTVdRDREREpHYKHzKbN28erl27Bmtrazg6OkJXV1duenJystKKIyIiIlIHhQNRQECACsogIiIi0hyFA9HUqVNVUQcRERGRxig8hoiIiIjov0bhPURaWlqvvfZQSUnJOxVEREREpG4KB6IdO3bIPS8qKsKpU6ewZs0aTJ8+XWmFEREREamLwoGoZ8+e5dp69eoFV1dXbNq0CUOGDFFKYURERETqorQxRF5eXoiLi1PWyxERERGpjVIC0dOnT7Fo0SLUrFlTGS9HREREpFYKHzKrVq2a3KBqQRDw+PFjGBkZYf369UotjoiIiEgdFA5ECxculHuupaUFS0tLeHp6olq1asqqi4iIiEhtFA5EISEhqqiDiIiISGMUDkQAkJ2djZUrV+LixYsAAFdXVwwePBhSqVSpxRERERGpg8KDqk+ePIm6detiwYIFyMrKQlZWFubPn4+6devyxq5ERET0XlJ4D9Ho0aPh7++PFStWQEfn+ezFxcUYOnQoRo0ahfj4eKUXSURERKRKCgeikydPyoUhANDR0cG4cePg4eGh1OKIiIiI1EHhQ2ZmZmZIS0sr137r1i2YmpoqpSgiIiIidVI4EPXt2xdDhgzBpk2bcOvWLdy6dQsbN27E0KFD8emnn6qiRiIiIiKVUviQ2Y8//giJRIIBAwaguLgYAKCrq4sRI0Zgzpw5Si+QiIiISNUUDkR6enqIiopCREQErl27BgCoW7cujIyMlF4cERERkTq81XWIAMDIyAhubm7KrIWIiIhIIxQORM+ePcPixYtx8OBBZGZmorS0VG46r0VERERE7xuFA9GQIUOwb98+9OrVCy1atJC70SsRERHR+0jhQLRr1y78/fffaNWqlSrqISIiIlI7hU+7r1mzJq83RERERP8pCgeiefPmYfz48bh586Yq6iEiIiJSO4UPmXl4eODZs2eoU6cOjIyMoKurKzc9KytLacURERERqYPCgejTTz/FnTt3MHv2bFhbW6t0UHVJSQmmTZuG9evXIyMjA3Z2dhg4cCAmTZokW64gCJg6dSpWrFiB7OxstGrVCkuXLkW9evVkr5OVlYUvv/wSf/75J7S0tBAYGIioqCiYmJiorHYiIiJ6fygciI4cOYLExEQ0adJEFfXImTt3LpYuXYo1a9bA1dUVJ0+exKBBgyCVSvHVV18BACIjI7Fo0SKsWbMGTk5OmDx5Mnx9fXHhwgUYGBgAAIKDg5Geno7Y2FgUFRVh0KBBGDZsGDZs2KDydSAiIqKqT+FA1KBBAzx9+lQVtZRz5MgR9OzZE926dQMAODo64rfffsPx48cBPN87tHDhQkyaNAk9e/YEAKxduxbW1tbYuXMngoKCcPHiRezZswcnTpyAh4cHAGDx4sXw8/PDjz/+CDs7O7WsCxEREVVdCg+qnjNnDr755hv873//w8OHD5Gbmyv3UKaWLVsiLi4O//77LwDgzJkzSEhIQNeuXQEAqampyMjIgI+Pj2weqVQKT09PJCYmAgASExNhbm4uC0MA4OPjAy0tLRw7dqzC5RYUFKh0vYiIiKhqUXgPUZcuXQAAHTt2lGsXBAESiQQlJSXKqQzAhAkTkJubiwYNGkBbWxslJSWYNWsWgoODAQAZGRkAAGtra7n5rK2tZdMyMjJgZWUlN11HRwcWFhayPi+LiIjA9OnTlbYeREREVLUpHIgOHjyoijoqtHnzZsTExGDDhg1wdXXF6dOnMWrUKNjZ2SEkJERly504cSLGjBkje56bmwt7e3uVLY+IiIg0S+FA1LZt21dOO3/+/DsV87KxY8diwoQJCAoKAgC4ubnh5s2biIiIQEhICGxsbAAA9+7dg62trWy+e/fuoWnTpgAAGxsbZGZmyr1ucXExsrKyZPO/TF9fH/r6+kpdFyIiIqq6FB5D9LLHjx9j+fLlaNGihdLPPHvy5Am0tORL1NbWlt1Q1snJCTY2NoiLi5NNz83NxbFjx+Dt7Q0A8Pb2RnZ2NpKSkmR9Dhw4gNLSUnh6eiq1XiIiIno/KbyHqEx8fDxWrlyJbdu2wc7ODp988gmWLFmizNrQo0cPzJo1C7Vr14arqytOnTqF+fPnY/DgwQAAiUSCUaNGYebMmahXr57stHs7OzsEBAQAABo2bIguXbogNDQUy5YtQ1FREcLCwhAUFMQzzIiIiAiAgoEoIyMDq1evxsqVK5Gbm4s+ffqgoKAAO3fuhIuLi9KLW7x4MSZPnowvvvgCmZmZsLOzw/DhwzFlyhRZn3HjxiE/Px/Dhg1DdnY2WrdujT179siuQQQAMTExCAsLQ8eOHWUXZly0aJHS6yUiIqL3k0QQBKEyHXv06IH4+Hh069YNwcHB6NKlC7S1taGrq4szZ86oJBBVFbm5uZBKpcjJyYGZmZmmy1GrDa6umi6B1KhfSoqmSyA14vYtLmLcvhX5/13pPUS7d+/GV199hREjRsjdFoOIiIjofVfpQdUJCQl4/Pgx3N3d4enpiZ9++gkPHjxQZW1EREREalHpQOTl5YUVK1YgPT0dw4cPx8aNG2FnZ4fS0lLExsbi8ePHqqyTiIiISGUUPu3e2NgYgwcPRkJCAs6dO4dvvvkGc+bMgZWVFfz9/VVRIxEREZFKvdN1iOrXr4/IyEjcvn0bv/32m7JqIiIiIlKrd74wI/D8YokBAQH4448/lPFyRERERGqllEBERERE9D5jICIiIiLRYyAiIiIi0WMgIiIiItF7q0C0bt06tGrVCnZ2drh58yYAYOHChfj999+VWhwRERGROigciJYuXYoxY8bAz88P2dnZKCkpAQCYm5tj4cKFyq6PiIiISOUUDkSLFy/GihUr8N1330FbW1vW7uHhgXPnzim1OCIiIiJ1UDgQpaamolmzZuXa9fX1kZ+fr5SiiIiIiNRJ4UDk5OSE06dPl2vfs2cPGjZsqIyaiIiIiNRKR9EZxowZg5EjR+LZs2cQBAHHjx/Hb7/9hoiICPz666+qqJGIiIhIpRQOREOHDoWhoSEmTZqEJ0+eoF+/frCzs0NUVBSCgoJUUSMRERGRSikciAAgODgYwcHBePLkCfLy8mBlZaXsuoiIiIjURuExRE+fPsWTJ08AAEZGRnj69CkWLlyIffv2Kb04IiIiInVQOBD17NkTa9euBQBkZ2ejRYsWmDdvHnr27ImlS5cqvUAiIiIiVVM4ECUnJ+Ojjz4CAGzduhU2Nja4efMm1q5di0WLFim9QCIiIiJVUzgQPXnyBKampgCAffv24ZNPPoGWlha8vLxkt/EgIiIiep8oHIicnZ2xc+dO3Lp1C3v37kXnzp0BAJmZmTAzM1N6gURERESqpnAgmjJlCsLDw+Ho6AhPT094e3sDeL63qKIrWBMRERFVdQqfdt+rVy+0bt0a6enpaNKkiay9Y8eO+Pjjj5VaHBEREZE6vNV1iGxsbGBjYyPX1qJFC6UURERERKRubxWITp48ic2bNyMtLQ2FhYVy07Zv366UwoiIiIjUReExRBs3bkTLli1x8eJF7NixA0VFRUhJScGBAwcglUpVUSMRERGRSikciGbPno0FCxbgzz//hJ6eHqKionDp0iX06dMHtWvXVkWNRERERCqlcCC6du0aunXrBgDQ09NDfn4+JBIJRo8ejeXLlyu9QCIiIiJVUzgQVatWDY8fPwYA1KxZE+fPnwfw/DYeZfc4IyIiInqfKDyouk2bNoiNjYWbmxt69+6Nr7/+GgcOHEBsbCw6duyoihqJiIiIVErhQPTTTz/h2bNnAIDvvvsOurq6OHLkCAIDAzFp0iSlF0hERESkagoHIgsLC9nPWlpamDBhglILIiIiIlK3t7oOUWlpKa5evYrMzEyUlpbKTWvTpo1SCiMiIiJSF4UD0dGjR9GvXz/cvHkTgiDITZNIJCgpKVFacURERETqoHAg+vzzz+Hh4YG//voLtra2kEgkqqiLiIiISG0UDkRXrlzB1q1b4ezsrIp6iIiIiNRO4esQeXp64urVq6qohYiIiEgjKrWH6OzZs7Kfv/zyS3zzzTfIyMiAm5sbdHV15fo2btxYuRUSERERqVilAlHTpk0hkUjkBlEPHjxY9nPZNA6qJiIiovdRpQJRamqqqusgIiIi0phKBSIHBwdV10FERESkMQoPqo6IiEB0dHS59ujoaMydO1cpRRERERGpk8KB6JdffkGDBg3Ktbu6umLZsmVKKYqIiIhInRQORBkZGbC1tS3XbmlpifT0dKUURURERKROCgcie3t7HD58uFz74cOHYWdnp5SiiIiIiNRJ4UAUGhqKUaNGYdWqVbh58yZu3ryJ6OhojB49GqGhoUov8M6dO/jss89QvXp1GBoaws3NDSdPnpRNFwQBU6ZMga2tLQwNDeHj44MrV67IvUZWVhaCg4NhZmYGc3NzDBkyBHl5eUqvlYiIiN5PCt+6Y+zYsXj48CG++OILFBYWAgAMDAwwfvx4TJw4UanFPXr0CK1atUL79u2xe/duWFpa4sqVK6hWrZqsT2RkJBYtWoQ1a9bAyckJkydPhq+vLy5cuAADAwMAQHBwMNLT0xEbG4uioiIMGjQIw4YNw4YNG5RaLxEREb2fJMLLt6x/jZKSEhw+fFh2heqLFy/C0NAQ9erVg76+vtKLmzBhAg4fPox//vmnwumCIMDOzg7ffPMNwsPDAQA5OTmwtrbG6tWrERQUhIsXL8LFxQUnTpyAh4cHAGDPnj3w8/PD7du3K3WYLzc3F1KpFDk5OTAzM1PeCr4HNri6aroEUqN+KSmaLoHUiNu3uIhx+1bk/7dCh8y0tbXRuXNnZGdnw8TEBM2bN0ejRo1UEoYA4I8//oCHhwd69+4NKysrNGvWDCtWrJBNT01NRUZGBnx8fGRtUqkUnp6eSExMBAAkJibC3NxcFoYAwMfHB1paWjh27FiFyy0oKEBubq7cg4iIiP67FB5D1KhRI1y/fl0VtZRz/fp1LF26FPXq1cPevXsxYsQIfPXVV1izZg2A52e8AYC1tbXcfNbW1rJpGRkZsLKykpuuo6MDCwsLWZ+XRUREQCqVyh729vbKXjUiIiKqQhQORDNnzkR4eDh27dqF9PR0le5JKS0txYcffojZs2ejWbNmGDZsGEJDQ1V+vaOJEyciJydH9rh165ZKl0dERESapfCgaj8/PwCAv78/JBKJrF0VN3e1tbWFi4uLXFvDhg2xbds2AICNjQ0A4N69e3LXRrp37x6aNm0q65OZmSn3GsXFxcjKypLN/zJ9fX2VHQYkIiKiqkfhQHTw4EFV1FGhVq1a4fLly3Jt//77r+zeak5OTrCxsUFcXJwsAOXm5uLYsWMYMWIEAMDb2xvZ2dlISkqCu7s7AODAgQMoLS2Fp6en2taFiIiIqi6FA1Hbtm1VUUeFRo8ejZYtW2L27Nno06cPjh8/juXLl2P58uUAAIlEglGjRmHmzJmoV6+e7LR7Ozs7BAQEAHi+R6lLly6yQ21FRUUICwtDUFAQLyRJREREAN4iEMXHx792eps2bd66mJc1b94cO3bswMSJEzFjxgw4OTlh4cKFCA4OlvUZN24c8vPzMWzYMGRnZ6N169bYs2eP7BpEABATE4OwsDB07NgRWlpaCAwMxKJFi5RWJxEREb3fFLoOEQBoaZUfh/3iWCJljiGqKngdIhILMV6nRMy4fYuLGLdvlV2HCHh+9egXH5mZmdizZw+aN2+Offv2vXXRRERERJqi8CEzqVRarq1Tp07Q09PDmDFjkJSUpJTCiIiIiNRF4T1Er2JtbV3ujDAiIiKi94HCe4jOnj0r91wQBKSnp2POnDmyU9+JiIiI3icKB6KmTZtCIpHg5bHYXl5eiI6OVlphREREROqicCBKTU2Ve66lpQVLS0u509yJiIiI3icKBaIbN24gNjYWhYWFaNeuHVx5yiYRERH9B1Q6EB08eBDdu3fH06dPn8+oo4Po6Gh89tlnKiuOiIiISB0qfZbZ5MmT0alTJ9y5cwcPHz5EaGgoxo0bp8raiIiIiNSi0oHo/PnzmD17NmxtbVGtWjX88MMPyMzMxMOHD1VZHxEREZHKVToQ5ebmokaNGrLnRkZGMDQ0RE5OjkoKIyIiIlIXhQZV7927V+5K1aWlpYiLi8P58+dlbf7+/sqrjoiIiEgNFApEISEh5dqGDx8u+1kikfwnb+5KRERE/22VDkSlpaWqrIOIiIhIY5R2LzMiIiKi9xUDEREREYkeAxERERGJHgMRERERiR4DEREREYneWwWi7Oxs/Prrr5g4cSKysrIAAMnJybhz545SiyMiIiJSB4WuQwQAZ8+ehY+PD6RSKW7cuIHQ0FBYWFhg+/btSEtLw9q1a1VRJxEREZHKKLyHaMyYMRg4cCCuXLkCAwMDWbufnx/i4+OVWhwRERGROigciE6cOCF3deoyNWvWREZGhlKKIiIiIlInhQORvr4+cnNzy7X/+++/sLS0VEpRREREROqkcCDy9/fHjBkzUFRUBOD5/cvS0tIwfvx4BAYGKr1AIiIiIlVTOBDNmzcPeXl5sLKywtOnT9G2bVs4OzvD1NQUs2bNUkWNRERERCql8FlmUqkUsbGxSEhIwNmzZ5GXl4cPP/wQPj4+qqiPiIiISOUUDkRlWrdujdatWyuzFiIiIiKNUDgQLVq0qMJ2iUQCAwMDODs7o02bNtDW1n7n4oiIiIjUQeFAtGDBAty/fx9PnjxBtWrVAACPHj2CkZERTExMkJmZiTp16uDgwYOwt7dXesFEREREyqbwoOrZs2ejefPmuHLlCh4+fIiHDx/i33//haenJ6KiopCWlgYbGxuMHj1aFfUSERERKZ3Ce4gmTZqEbdu2oW7durI2Z2dn/PjjjwgMDMT169cRGRnJU/CJiIjovaHwHqL09HQUFxeXay8uLpZdqdrOzg6PHz9+9+qIiIiI1EDhQNS+fXsMHz4cp06dkrWdOnUKI0aMQIcOHQAA586dg5OTk/KqJCIiIlIhhQPRypUrYWFhAXd3d+jr60NfXx8eHh6wsLDAypUrAQAmJiaYN2+e0oslIiIiUgWFxxDZ2NggNjYWly5dwr///gsAqF+/PurXry/r0759e+VVSERERKRib31hxgYNGqBBgwbKrIWIiIhII94qEN2+fRt//PEH0tLSUFhYKDdt/vz5SimMiIiISF0UDkRxcXHw9/dHnTp1cOnSJTRq1Ag3btyAIAj48MMPVVEjERERkUopPKh64sSJCA8Px7lz52BgYIBt27bh1q1baNu2LXr37q2KGomIiIhUSuFAdPHiRQwYMAAAoKOjg6dPn8LExAQzZszA3LlzlV4gERERkaopHIiMjY1l44ZsbW1x7do12bQHDx4orzIiIiIiNVF4DJGXlxcSEhLQsGFD+Pn54ZtvvsG5c+ewfft2eHl5qaJGIiIiIpVSOBDNnz8feXl5AIDp06cjLy8PmzZtQr169XiGGREREb2XFApEJSUluH37Nho3bgzg+eGzZcuWqaQwIiIiInVRaAyRtrY2OnfujEePHqmqHiIiIiK1U3hQdaNGjXD9+nVV1EJERESkEQoHopkzZyI8PBy7du1Ceno6cnNz5R6qNGfOHEgkEowaNUrW9uzZM4wcORLVq1eHiYkJAgMDce/ePbn50tLS0K1bNxgZGcHKygpjx45FcXGxSmslIiKi94fCg6r9/PwAAP7+/pBIJLJ2QRAgkUhQUlKivOpecOLECfzyyy+y8UtlRo8ejb/++gtbtmyBVCpFWFgYPvnkExw+fBjA83FP3bp1g42NDY4cOYL09HQMGDAAurq6mD17tkpqJSIioveLwoHo4MGDqqjjtfLy8hAcHIwVK1Zg5syZsvacnBysXLkSGzZsQIcOHQAAq1atQsOGDXH06FF4eXlh3759uHDhAvbv3w9ra2s0bdoU33//PcaPH49p06ZBT09P7etDREREVYvCgaht27aqqOO1Ro4ciW7dusHHx0cuECUlJaGoqAg+Pj6ytgYNGqB27dpITEyEl5cXEhMT4ebmBmtra1kfX19fjBgxAikpKWjWrFm55RUUFKCgoED2XNWHAomIiEizFB5DBAD//PMPPvvsM7Rs2RJ37twBAKxbtw4JCQlKLQ4ANm7ciOTkZERERJSblpGRAT09PZibm8u1W1tbIyMjQ9bnxTBUNr1sWkUiIiIglUplD3t7eyWsCREREVVVCgeibdu2wdfXF4aGhkhOTpbtScnJyVH6mJxbt27h66+/RkxMDAwMDJT62q8zceJE5OTkyB63bt1S27KJiIhI/d7qLLNly5ZhxYoV0NXVlbW3atUKycnJSi0uKSkJmZmZ+PDDD6GjowMdHR0cOnQIixYtgo6ODqytrVFYWIjs7Gy5+e7duwcbGxsAgI2NTbmzzsqel/V5mb6+PszMzOQeRERE9N+lcCC6fPky2rRpU65dKpWWCybvqmPHjjh37hxOnz4te3h4eCA4OFj2s66uLuLi4uTqS0tLg7e3NwDA29sb586dQ2ZmpqxPbGwszMzM4OLiotR6iYiI6P2k8KBqGxsbXL16FY6OjnLtCQkJqFOnjrLqAgCYmpqiUaNGcm3GxsaoXr26rH3IkCEYM2YMLCwsYGZmhi+//BLe3t6yG8127twZLi4u6N+/PyIjI5GRkYFJkyZh5MiR0NfXV2q9RERE9H5SOBCFhobi66+/RnR0NCQSCe7evYvExESEh4dj8uTJqqjxtRYsWAAtLS0EBgaioKAAvr6++Pnnn2XTtbW1sWvXLowYMQLe3t4wNjZGSEgIZsyYofZaiYiIqGqSCIIgKDKDIAiYPXs2IiIi8OTJEwDPx9yEh4fj+++/V0mRmpabmwupVIqcnBzRjSfa4Oqq6RJIjfqlpGi6BFIjbt/iIsbtW5H/3wrvIZJIJPjuu+8wduxYXL16FXl5eXBxcYGJiclbF0xERESkSQoPql6/fj2ePHkCPT09uLi4oEWLFgxDRERE9F5TOBCNHj0aVlZW6NevH/7++2+V3buMiIiISF0UDkTp6enYuHEjJBIJ+vTpA1tbW4wcORJHjhxRRX1EREREKqdwINLR0UH37t0RExODzMxMLFiwADdu3ED79u1Rt25dVdRIREREpFIKD6p+kZGREXx9ffHo0SPcvHkTFy9eVFZdRERERGrzVjd3ffLkCWJiYuDn54eaNWti4cKF+Pjjj5EiwlP6iIiI6P2n8B6ioKAg7Nq1C0ZGRujTpw8mT54su00GERER0ftI4UCkra2NzZs3w9fXF9ra2nLTzp8/X+5WG0RERERVncKBKCYmRu7548eP8dtvv+HXX39FUlIST8MnIiKi985bjSECgPj4eISEhMDW1hY//vgjOnTogKNHjyqzNiIiIiK1UGgPUUZGBlavXo2VK1ciNzcXffr0QUFBAXbu3AkXFxdV1UhERESkUpXeQ9SjRw/Ur18fZ8+excKFC3H37l0sXrxYlbURERERqUWl9xDt3r0bX331FUaMGIF69eqpsiYiIiIitar0HqKEhAQ8fvwY7u7u8PT0xE8//YQHDx6osjYiIiIitah0IPLy8sKKFSuQnp6O4cOHY+PGjbCzs0NpaSliY2Px+PFjVdZJREREpDIKn2VmbGyMwYMHIyEhAefOncM333yDOXPmwMrKCv7+/qqokYiIiEil3vq0ewCoX78+IiMjcfv2bfz222/KqomIiIhIrd4pEJXR1tZGQEAA/vjjD2W8HBEREZFaKSUQEREREb3PGIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0qnQgioiIQPPmzWFqagorKysEBATg8uXLcn2ePXuGkSNHonr16jAxMUFgYCDu3bsn1yctLQ3dunWDkZERrKysMHbsWBQXF6tzVYiIiKgKq9KB6NChQxg5ciSOHj2K2NhYFBUVoXPnzsjPz5f1GT16NP78809s2bIFhw4dwt27d/HJJ5/IppeUlKBbt24oLCzEkSNHsGbNGqxevRpTpkzRxCoRERFRFSQRBEHQdBGVdf/+fVhZWeHQoUNo06YNcnJyYGlpiQ0bNqBXr14AgEuXLqFhw4ZITEyEl5cXdu/eje7du+Pu3buwtrYGACxbtgzjx4/H/fv3oaen98bl5ubmQiqVIicnB2ZmZipdx6pmg6urpksgNeqXkqLpEkiNuH2Lixi3b0X+f1fpPUQvy8nJAQBYWFgAAJKSklBUVAQfHx9ZnwYNGqB27dpITEwEACQmJsLNzU0WhgDA19cXubm5SHnFh6OgoAC5ublyDyIiIvrvem8CUWlpKUaNGoVWrVqhUaNGAICMjAzo6enB3Nxcrq+1tTUyMjJkfV4MQ2XTy6ZVJCIiAlKpVPawt7dX8toQERFRVfLeBKKRI0fi/Pnz2Lhxo8qXNXHiROTk5Mget27dUvkyiYiISHN0NF1AZYSFhWHXrl2Ij49HrVq1ZO02NjYoLCxEdna23F6ie/fuwcbGRtbn+PHjcq9XdhZaWZ+X6evrQ19fX8lrQURERFVVld5DJAgCwsLCsGPHDhw4cABOTk5y093d3aGrq4u4uDhZ2+XLl5GWlgZvb28AgLe3N86dO4fMzExZn9jYWJiZmcHFxUU9K0JERERVWpXeQzRy5Ehs2LABv//+O0xNTWVjfqRSKQwNDSGVSjFkyBCMGTMGFhYWMDMzw5dffglvb294eXkBADp37gwXFxf0798fkZGRyMjIwKRJkzBy5EjuBSIiIiIAVTwQLV26FADQrl07ufZVq1Zh4MCBAIAFCxZAS0sLgYGBKCgogK+vL37++WdZX21tbezatQsjRoyAt7c3jI2NERISghkzZqhrNYiIiKiKq9KBqDKXSDIwMMCSJUuwZMmSV/ZxcHDA33//rczSiIiI6D+kSo8hIiIiIlIHBiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPVEFoiVLlsDR0REGBgbw9PTE8ePHNV0SERERVQGiCUSbNm3CmDFjMHXqVCQnJ6NJkybw9fVFZmampksjIiIiDRNNIJo/fz5CQ0MxaNAguLi4YNmyZTAyMkJ0dLSmSyMiIiINE0UgKiwsRFJSEnx8fGRtWlpa8PHxQWJiogYrIyIioqpAR9MFqMODBw9QUlICa2truXZra2tcunSpXP+CggIUFBTInufk5AAAcnNzVVtoFfSkpETTJZAaifEzLmbcvsVFjNt32ToLgvDGvqIIRIqKiIjA9OnTy7Xb29troBoi9QmVSjVdAhGpiJi378ePH0P6hvUXRSCqUaMGtLW1ce/ePbn2e/fuwcbGplz/iRMnYsyYMbLnpaWlyMrKQvXq1SGRSFReL2lWbm4u7O3tcevWLZiZmWm6HCJSIm7f4iIIAh4/fgw7O7s39hVFINLT04O7uzvi4uIQEBAA4HnIiYuLQ1hYWLn++vr60NfXl2szNzdXQ6VUlZiZmfEPJtF/FLdv8XjTnqEyoghEADBmzBiEhITAw8MDLVq0wMKFC5Gfn49BgwZpujQiIiLSMNEEor59++L+/fuYMmUKMjIy0LRpU+zZs6fcQGsiIiISH9EEIgAICwur8BAZ0Yv09fUxderUcodNiej9x+2bXkUiVOZcNCIiIqL/MFFcmJGIiIjodRiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPREddo9UZlmzZpV+jYsycnJKq6GiIg0jYGIRKnsFi4A8OzZM/z8889wcXGBt7c3AODo0aNISUnBF198oaEKiehdKXJ3d97Gg3gdIhK9oUOHwtbWFt9//71c+9SpU3Hr1i1ER0drqDIiehdaWlqV3hNcUlKi4mqoqmMgItGTSqU4efIk6tWrJ9d+5coVeHh4ICcnR0OVEdG7OHTokOznGzduYMKECRg4cKBsT3BiYiLWrFmDiIgIhISEaKpMqiJ4yIxEz9DQEIcPHy4XiA4fPgwDAwMNVUVE76pt27ayn2fMmIH58+fj008/lbX5+/vDzc0Ny5cvZyAiBiKiUaNGYcSIEUhOTkaLFi0AAMeOHUN0dDQmT56s4eqISBkSExOxbNmycu0eHh4YOnSoBiqiqoaHzIgAbN68GVFRUbh48SIAoGHDhvj666/Rp08fDVdGRMpQv3599OzZE5GRkXLt48aNw++//47Lly9rqDKqKhiIiIjoP+/vv/9GYGAgnJ2d4enpCQA4fvw4rly5gm3btsHPz0/DFZKmMRARAcjOzsbWrVtx/fp1hIeHw8LCAsnJybC2tkbNmjU1XR4RKcGtW7ewdOlSXLp0CcDzPcGff/457O3tNVwZVQUMRCR6Z8+ehY+PD6RSKW7cuIHLly+jTp06mDRpEtLS0rB27VpNl0hERCrGW3eQ6I0ZMwYDBw7ElStX5M4q8/PzQ3x8vAYrIyJl+ueff/DZZ5+hZcuWuHPnDgBg3bp1SEhI0HBlVBUwEJHonThxAsOHDy/XXrNmTWRkZGigIiJStm3btsHX1xeGhoZITk5GQUEBACAnJwezZ8/WcHVUFTAQkejp6+tXeIn/f//9F5aWlhqoiIiUbebMmVi2bBlWrFgBXV1dWXurVq14v0ICwEBEBH9/f8yYMQNFRUUAAIlEgrS0NIwfPx6BgYEaro6IlOHy5cto06ZNuXapVIrs7Gz1F0RVDgMRid68efOQl5cHKysrPH36FG3btoWzszNMTU0xa9YsTZdHREpgY2ODq1evlmtPSEhAnTp1NFARVTW8UjWJnlQqRWxsLBISEnD27Fnk5eXhww8/hI+Pj6ZLIyIlCQ0Nxddff43o6GhIJBLcvXsXiYmJCA8P5xXpCQBPuyciIhEQBAGzZ89GREQEnjx5AuD5+MHw8HB8//33Gq6OqgIGIiIAcXFxiIuLQ2ZmJkpLS+WmRUdHa6gqIlK2wsJCXL16FXl5eXBxcYGJiYmmS6IqgofMSPSmT5+OGTNmwMPDA7a2tpBIJJouiYhURE9PDy4uLpoug6og7iEi0bO1tUVkZCT69++v6VKISEXy8/MxZ86cV+4Jvn79uoYqo6qCe4hI9AoLC9GyZUtNl0FEKjR06FAcOnQI/fv3555gqhD3EJHojR8/HiYmJjzThOg/zNzcHH/99RdatWql6VKoiuIeIhK9Z8+eYfny5di/fz8aN24sdxVbAJg/f76GKiMiZalWrRosLCw0XQZVYdxDRKLXvn37V06TSCQ4cOCAGqshIlVYv349fv/9d6xZswZGRkaaLoeqIAYiErWSkhIcPnwYbm5uqFatmqbLISIVadasGa5duwZBEODo6FhuTzDvZ0Y8ZEaipq2tjc6dO+PixYsMRET/YQEBAZougao4BiISvUaNGuH69etwcnLSdClEpALFxcWQSCQYPHgwatWqpelyqIriITMSvT179mDixIn4/vvv4e7uDmNjY7npZmZmGqqMiJTF1NQU586dg6Ojo6ZLoSqKgYhET0tLS/bzi9cmEQQBEokEJSUlmiiLiJSoZ8+e+OSTTxASEqLpUqiK4iEzEr2DBw9qugQiUrGuXbtiwoQJOHfuXIV7gv39/TVUGVUV3ENERET/eS/uCX4Z9wQTwEBEhPj4+NdOb9OmjZoqISIiTWEgItGr6Jvji2OJ+M2RiOi/j2OISPQePXok97yoqAinTp3C5MmTMWvWLA1VRUTKNGPGjNdOnzJlipoqoaqKe4iIXuHQoUMYM2YMkpKSNF0KEb2jZs2ayT0vKipCamoqdHR0ULduXV6pmriHiOhVrK2tcfnyZU2XQURKcOrUqXJtubm5GDhwID7++GMNVERVDfcQkeidPXtW7rkgCEhPT8ecOXNQXFyMhIQEDVVGRKp27tw59OjRAzdu3NB0KaRh3ENEote0aVNIJBK8/N3Ay8sL0dHRGqqKiNQhJycHOTk5mi6DqgAGIhK91NRUuedaWlqwtLSEgYGBhioiImVbtGiR3POyPcHr1q1D165dNVQVVSU8ZEait3btWvTt2xf6+vpy7YWFhdi4cSMGDBigocqISFlevnlz2RefDh06YOLEiTA1NdVQZVRVMBCR6GlrayM9PR1WVlZy7Q8fPoSVlRWvQ0REJAKvvpY5kUiU3cT1Zbdv34ZUKtVARUSkbIMHD8bjx4/Ltefn52Pw4MEaqIiqGu4hItFq1qwZJBIJzpw5A1dXV+jo/N+QupKSEqSmpqJLly7YvHmzBqskImV41Z7gBw8ewMbGBsXFxRqqjKoKDqom0QoICAAAnD59Gr6+vjAxMZFN09PTg6OjIwIDAzVUHREpQ25uLgRBgCAIePz4sdzJEiUlJfj777/LhSQSJwYiEq2pU6cCABwdHdG3b1+eVUb0H2Rubg6JRAKJRIIPPvig3HSJRILp06droDKqanjIjAhAdnY2tm7dimvXrmHs2LGwsLBAcnIyrK2tUbNmTU2XR0Rv6dChQxAEAR06dMC2bdtgYWEhm6anpwcHBwfY2dlpsEKqKhiISPTOnj0LHx8fSKVS3LhxA5cvX0adOnUwadIkpKWlYe3atZoukYje0c2bN1G7du0KT6AgAniWGRFGjx6NgQMH4sqVK3KHzfz8/BAfH6/ByohIWRwcHJCQkIDPPvsMLVu2xJ07dwAA69at4+15CAADERFOnjyJ4cOHl2uvWbMmMjIyNFARESnbtm3b4OvrC0NDQyQnJ6OgoADA81t3zJ49W8PVUVXAQESip6+vj9zc3HLt//77LywtLTVQEREp28yZM7Fs2TKsWLECurq6svZWrVohOTlZg5VRVcFARKLn7++PGTNmoKioCMDzs07S0tIwfvx4nnZP9B9x+fJltGnTply7VCpFdna2+guiKoeBiERv3rx5yMvLg5WVFZ4+fYq2bdvC2dkZJiYmmDVrlqbLIyIlsLGxwdWrV8u1JyQkoE6dOhqoiKoaXoeIRE8qlSI2NhYJCQk4e/Ys8vLy8OGHH8LHx0fTpRGRkoSGhuLrr79GdHQ0JBIJ7t69i8TERHzzzTeYMmWKpsujKoCn3RO9QnJyMqZMmYJdu3ZpuhQiekeCIGD27NmIiIjAkydPADwfPzh27FhMnDgRhoaGGq6QNI2HzEjU9u7di/DwcHz77be4fv06AODSpUsICAhA8+bNUVpaquEKiUgZJBIJvvvuO2RlZeH8+fM4evQo7t+/D6lUCicnJ02XR1UAAxGJ1sqVK9G1a1esXr0ac+fOhZeXF9avXw9vb2/Y2Njg/Pnz+PvvvzVdJhG9g4KCAkycOBEeHh5o1aoV/v77b7i4uCAlJQX169dHVFQURo8erekyqQrgITMSrcaNG6N///4YO3Ystm3bht69e8PLywubN29GrVq1NF0eESnB+PHj8csvv8DHxwdHjhzB/fv3MWjQIBw9ehTffvstevfuDW1tbU2XSVUAAxGJlrGxMVJSUuDo6AhBEKCvr4+DBw+iVatWmi6NiJSkTp06WLhwIfz9/XH+/Hk0btwYAwcOxMqVK3kbD5LDQ2YkWk+fPoWRkRGA5+ML9PX1YWtrq+GqiEiZbt++DXd3dwBAo0aNoK+vj9GjRzMMUTk87Z5E7ddff4WJiQkAoLi4GKtXr0aNGjXk+nz11VeaKI2IlKCkpAR6enqy5zo6OrJtnuhFPGRGouXo6PjGb4kSiUR29hkRvX+0tLTQtWtX6OvrAwD+/PNPdOjQAcbGxnL9tm/fronyqAphICIiov+sQYMGVarfqlWrVFwJVXUMRERERCR6HFRNREREosdARERERKLHQERERESix0BEREREosdARKKnra2NzMzMcu0PHz7kJf2JiESCgYhE71UnWhYUFMhd0I2IiP67eKVqEq1FixYBeH7xxRevWA08v7ptfHw8GjRooKnyiIhIjXgdIhItJycnAMDNmzdRq1YtucNjenp6cHR0xIwZM+Dp6ampEomISE0YiEj02rdvj+3bt6NatWqaLoWIiDSEgYjoBWWbA++ETUQkLhxUTQRg7dq1cHNzg6GhIQwNDdG4cWOsW7dO02UREZGacFA1id78+fMxefJkhIWFoVWrVgCAhIQEfP7553jw4AFGjx6t4QqJiEjVeMiMRM/JyQnTp0/HgAED5NrXrFmDadOmITU1VUOVERGRuvCQGYleeno6WrZsWa69ZcuWSE9P10BFRESkbgxEJHrOzs7YvHlzufZNmzahXr16GqiIiIjUjWOISPSmT5+Ovn37Ij4+XjaG6PDhw4iLi6swKBER0X8PxxARAUhKSsKCBQtw8eJFAEDDhg3xzTffoFmzZhqujIiI1IGBiIiIiESPY4iIiIhI9DiGiERLS0vrjVeklkgkKC4uVlNFRESkKQxEJFo7dux45bTExEQsWrQIpaWlaqyIiIg0hWOIiF5w+fJlTJgwAX/++SeCg4MxY8YMODg4aLosIiJSMY4hIgJw9+5dhIaGws3NDcXFxTh9+jTWrFnDMEREJBIMRCRqOTk5GD9+PJydnZGSkoK4uDj8+eefaNSokaZLIyIiNeIYIhKtyMhIzJ07FzY2Nvjtt9/Qs2dPTZdEREQawjFEJFpaWlowNDSEj48PtLW1X9lv+/btaqyKiIg0gXuISLQGDBjwxtPuiYhIHLiHiIiIiESPg6qJiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIhIaQYOHAiJRAKJRAJdXV04OTlh3LhxePbsWaVf43//+x8kEgmys7NVV2glrFixAk2aNIGJiQnMzc3RrFkzREREyKYPHDgQAQEBCr/utGnT0LRpU+UVSkRKwesQEZFSdenSBatWrUJRURGSkpIQEhICiUSCuXPnqr2WoqIi6OrqKjxfdHQ0Ro0ahUWLFqFt27YoKCjA2bNncf78eRVUSURVgkBEpCQhISFCz5495do++eQToVmzZrLnJSUlwuzZswVHR0fBwMBAaNy4sbBlyxZBEAQhNTVVACD3CAkJEQRBEBwcHIQFCxbIvXaTJk2EqVOnyp4DEH7++WehR48egpGRkTB16lRh6tSpQpMmTYS1a9cKDg4OgpmZmdC3b18hNzf3levRs2dPYeDAga+cPnXq1HJ1Hjx4UBAEQRg3bpxQr149wdDQUHBychImTZokFBYWCoIgCKtWrSo336pVq2TrferUKdkyHj16JPe6WVlZQr9+/YQaNWoIBgYGgrOzsxAdHf3KGolIMdxDREQqc/78eRw5cgQODg6ytoiICKxfvx7Lli1DvXr1EB8fj88++wyWlpZo3bo1tm3bhsDAQFy+fBlmZmYwNDRUaJnTpk3DnDlzsHDhQujo6CA6OhrXrl3Dzp07sWvXLjx69Ah9+vTBnDlzMGvWrApfw8bGBocOHcLNmzflai8THh6OixcvIjc3F6tWrQIAWFhYAABMTU2xevVq2NnZ4dy5cwgNDYWpqSnGjRuHvn374vz589izZw/2798PAJBKpbh3794b12vy5Mm4cOECdu/ejRo1auDq1at4+vSpQu8NEb0aAxERKdWuXbtgYmKC4uJiFBQUQEtLCz/99BMAoKCgALNnz8b+/fvh7e0NAKhTpw4SEhLwyy+/oG3btrJgYWVlBXNzc4WX369fPwwaNEiurbS0FKtXr4apqSkAoH///oiLi3tlIJo6dSo++eQTODo64oMPPoC3tzf8/PzQq1cvaGlpwcTEBIaGhigoKICNjY3cvJMmTZL97OjoiPDwcGzcuBHjxo2DoaEhTExMoKOjU26+N0lLS0OzZs3g4eEhe20iUh4GIiJSqvbt22Pp0qXIz8/HggULoKOjg8DAQADA1atX8eTJE3Tq1ElunsLCQjRr1kwpyy8LDC9ydHSUhSEAsLW1RWZm5itfw9bWFomJiTh//jzi4+Nx5MgRhISE4Ndff8WePXugpfXq81E2bdqERYsW4dq1a8jLy0NxcTHMzMzebaUAjBgxAoGBgUhOTkbnzp0REBCAli1bvvPrEtFzPMuMiJTK2NgYzs7OaNKkCaKjo3Hs2DGsXLkSAJCXlwcA+Ouvv3D69GnZ48KFC9i6detrX1dLSwvCS7deLCoqqnD5L3t5YLVEIkFpaekb16VRo0b44osvsH79esTGxiI2NhaHDh16Zf/ExEQEBwfDz88Pu3btwqlTp/Ddd9+hsLDwtcspC1gvrt/L69a1a1fcvHkTo0ePxt27d9GxY0eEh4e/cR2IqHIYiIhIZbS0tPDtt99i0qRJePr0KVxcXKCvr4+0tDQ4OzvLPezt7QEAenp6AICSkhK517K0tER6errseW5uLlJTU9W2Li4uLgCA/Px8AM/rfLnGsvFS3333HTw8PFCvXj3cvHlTrk9F81laWgKA3PqdPn26XA2WlpYICQnB+vXrsXDhQixfvvyd14uInuMhMyJSqd69e2Ps2LFYsmQJwsPDER4ejtGjR6O0tBStW7dGTk4ODh8+DDMzM4SEhMDBwQESiQS7du2Cn5+fbNxNhw4dsHr1avTo0QPm5uaYMmUKtLW1VVLziBEjYGdnhw4dOqBWrVpIT0/HzJkzYWlpKRv75OjoiL179+Ly5cuoXr06pFIp6tWrh7S0NGzcuBHNmzfHX3/9hR07dsi9tqOjI1JTU3H69GnUqlULpqamMDQ0hJeXF+bMmQMnJydkZmbKjUUCgClTpsDd3R2urq4oKCjArl270LBhQ5WsP5EYcQ8REamUjo4OwsLCEBkZifz8fHz//feYPHkyIiIi0LBhQ3Tp0gV//fUXnJycAAA1a9bE9OnTMWHCBFhbWyMsLAwAMHHiRLRt2xbdu3dHt27dEBAQgLp166qkZh8fHxw9ehS9e/fGBx98gMDAQBgYGCAuLg7Vq1cHAISGhqJ+/frw8PCApaUlDh8+DH9/f4wePRphYWFo2rQpjhw5gsmTJ8u9dmBgILp06YL27dvD0tISv/32G4Dn1z4qLi6Gu7s7Ro0ahZkzZ8rNp6enh4kTJ6Jx48Zo06YNtLW1sXHjRpWsP5EYSYSXD8oTERERiQz3EBEREZHoMRARERGR6DEQERERkegxEBEREZHoMRARERGR6DEQERERkegxEBEREZHoMRARERGR6DEQERERkegxEBEREZHoMRARERGR6DEQERERkej9PzIg2c2/8VdlAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ReturnStatus\n",
            "Not Returned    1209.212480\n",
            "Returned        1198.079951\n",
            "Name: PurchaseAmount, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 17. Are there any noticeable differences in purchase behavior between different warehouse locations?"
      ],
      "metadata": {
        "id": "y_rs0SVXcHUR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Average purchase amount by warehouse location\n",
        "purchase_by_warehouse = shop.groupby('WarehouseLocation')['PurchaseAmount'].mean()\n",
        "\n",
        "# Plotting\n",
        "purchase_by_warehouse.plot(kind='bar', color='pink')\n",
        "plt.title('Average Purchase Behavior by Warehouse Location')\n",
        "plt.xlabel('Warehouse Location')\n",
        "plt.ylabel('Average Purchase Amount')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(purchase_by_warehouse)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 663
        },
        "id": "scZlsymrdC54",
        "outputId": "66f32d2e-4b36-435e-e0a1-35576d9424c7"
      },
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "WarehouseLocation\n",
            "Amsterdam    1248.680177\n",
            "Berlin       1266.192288\n",
            "London       1262.919585\n",
            "Paris        1250.536528\n",
            "Rome         1265.584705\n",
            "Name: PurchaseAmount, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 18. Is there a relationship between product category and the likelihood of a return?"
      ],
      "metadata": {
        "id": "nR5Yy8-ucREf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Return rate by category\n",
        "return_rate_by_category = shop.groupby('Category')['ReturnStatus'].value_counts(normalize=True).unstack()\n",
        "\n",
        "# Plotting\n",
        "return_rate_by_category.plot(kind='bar', stacked=True)\n",
        "plt.title('Return Rate by Product Category')\n",
        "plt.xlabel('Product Category')\n",
        "plt.ylabel('Proportion of Returns')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(return_rate_by_category)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 664
        },
        "id": "pmV_tKGMdDRA",
        "outputId": "c7777ff4-f43d-4332-eff8-e6fefea659a3"
      },
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ReturnStatus  Not Returned  Returned\n",
            "Category                            \n",
            "Accessories       0.903258  0.096742\n",
            "Apparel           0.902372  0.097628\n",
            "Electronics       0.901621  0.098379\n",
            "Furniture         0.900436  0.099564\n",
            "Stationery        0.900786  0.099214\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 19. How does the average purchase amount differ between different sales channels?"
      ],
      "metadata": {
        "id": "NGB5Ks1JcVn6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Average purchase amount by sales channel\n",
        "purchase_by_sales_channel = shop.groupby('SalesChannel')['PurchaseAmount'].mean()\n",
        "\n",
        "# Plotting\n",
        "purchase_by_sales_channel.plot(kind='bar', color='yellowgreen')\n",
        "plt.title('Average Purchase Amount by Sales Channel')\n",
        "plt.xlabel('Sales Channel')\n",
        "plt.ylabel('Average Purchase Amount')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(purchase_by_sales_channel)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "AJnysHcsdDlo",
        "outputId": "5906d2e6-1243-4e1d-e796-3f4b45919926"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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vwMsABEBlHEufPn0wZMgQPHjwAM7OztixYwdycnLQu3fvd65DLpdjwoQJmDBhAuLi4nD8+HGEhoZi+/btMDQ0xKZNmwAU/T3zuvww3bdv3zf2SUlJgZWVFUJCQtC3b184OTnBw8MD7dq1Q58+fQq8Bq+ysLAAAJVDo0Whyc/Jm5ZpZWUFAAXeB0VZd0xMDK5cuVLkv5mkHgYiKrJjx44hLi4OW7duxdatWwtMDwsLQ+vWrQEAAQEBWLFiBQ4ePIguXbpg+/btqF69OmrXri32VyqVqFmzJubPn1/o+l7/Mnv1P7N8J0+eRKdOneDt7Y2lS5fCwcEBhoaGWLt2LTZv3qz2Nub/V/rZZ5+98Y91/hf/25QrVw6+vr5vnP6m/9Dz97K9Ti6XQ0/v/Xfo6uvrF9r+6h/zoUOHYu3atRg+fDi8vLygUCggk8kQEBCgMmDT29sbd+7cwc8//4wjR47gp59+woIFC7B8+XJ88cUXYt/Ro0fDz8+v0PW+7TINgiBgy5YtyMjIKHSPYGJiItLT01UuUPim7SvKdheVur8zTa77fQQEBGDEiBEICwvDt99+i02bNqF+/fqFhr+3cXBwQEBAAPz9/eHu7o7t27dj3bp1MDAwKPJ75nX503744QfUqVOn0D75v98ePXqI1/E6cuQIfvjhB8yZMwe7d+9G27ZtC53XwsICjo6O+PPPP9XaVk1+TtRZZlH7KZVKtGrVCmPHji20b34wpvfDQERFFhYWBltbWyxZsqTAtN27d2PPnj1Yvnw5TExM4O3tDQcHB2zbtg1NmjTBsWPHMGHCBJV5qlSpgsuXL8PHx+etu/DfZteuXTA2Nsbhw4chl8vF9rVr16r0c3Z2hlKpxL1791C1alWxPX/vQz4bGxuUKVMGeXl5bw00/1X+f4mvn8L8+m70t6lSpQoOHz6MpKSkIu0lepedO3eib9++mDdvntj24sWLQk+zzj+TsH///khPT4e3tzemTp2KL774QvzP3dDQ8L1ew+PHj+Pvv//G9OnTCwwwfvbsGQYOHIi9e/e+dWBwUdnY2MDU1BQ3b94sMO3GjRvQ09MTg/mrv7NX9/ap8zt73fu875VKJe7evavy5Xfr1i0AULmWkbW1Ndq3b4+wsDAEBgbi9OnT731SAPDy91mrVi3ExMTgn3/+gb29vVrvmVflH5aysLAo0nvEwcEBgwcPxuDBg5GYmIh69erh+++/f2MgAoAOHTpg5cqViIqKgpeXV9E2sgjed5s1oUqVKkhPT9fq3yYp4xgiKpLnz59j9+7d6NChA7p161bgMWTIEKSlpYmnVevp6aFbt27Yv38/Nm7ciNzc3AJnjvXo0QOPHj3CqlWrCl1fRkbGO+vS19eHTCZT+S/9/v372Lt3r0q//D0VS5cuVWlfvHhxgeX5+/tj165dhf53+frpsu/L2dkZ+vr6BY75v17f2/j7+0MQBEybNq3AtPfZC6Gvr19gvsWLFxfYA/LqGTfAy//kXVxcxMOVtra2aN68OVasWIG4uLgC63nXa5h/uGzMmDEF3mdBQUGoWrXqG882U5e+vj5at26Nn3/+WeVwU0JCAjZv3owmTZqIh1/yv8Rf/Z1lZGRg/fr1773+/GtJqftl+uOPP4o/C4KAH3/8EYaGhvDx8VHp17t3b/z1118YM2YM9PX1VcZZvUlMTAxiY2MLtCcnJyMqKgpWVlbiIZuivmde5+HhgSpVqmDu3LlIT08vMD3/PZKXl1fgMJStrS0cHR0LXJrjdWPHjoWZmRm++OILJCQkFJh+584dhIaGvnUZhXnfbdaEHj16ICoqqtBxdMnJye88K5DejnuIqEj27duHtLQ0dOrUqdDpDRs2hI2NDcLCwsTg07NnTyxevBhTpkxBzZo1C/y337t3b2zfvh1fffUVIiMj0bhxY+Tl5eHGjRvYvn07Dh8+jPr167+1rvbt22P+/Plo06YNevXqhcTERCxZsgQuLi64cuWK2M/DwwP+/v5YuHAhnj59ioYNG+L48ePif9av/qc+e/ZsREZGwtPTE0FBQXBzc0NSUhIuXryIo0ePFjiV+X0oFAp0794dixcvhkwmQ5UqVXDgwAG1xgC0aNECvXv3xqJFixATE4M2bdpAqVTi5MmTaNGihdr3ZerQoQM2btwIhUIBNzc3REVF4ejRowUuFeDm5obmzZvDw8MD1tbWuHDhAnbu3KmyviVLlqBJkyaoWbMmgoKCULlyZSQkJCAqKgp///03Ll++XGgNWVlZ2LVrF1q1avXGi2526tQJoaGhSExMhK2trVrbWJgZM2YgPDwcTZo0weDBg2FgYIAVK1YgKysLISEhYr/WrVujQoUKGDBggBgw1qxZAxsbm0IDRFHUqVMH+vr6mDNnDlJSUiCXy9GyZcu3bpexsTEOHTqEvn37wtPTEwcPHsQvv/yCb7/9tsDYkvbt26Ns2bLYsWMH2rZtW6TX6/Lly+jVqxfatm2Lpk2bwtraGo8ePcL69evx+PFjLFy4UDy8U9T3zOv09PTw008/oW3btnB3d0f//v1Rvnx5PHr0CJGRkbCwsMD+/fuRlpaGjz76CN26dUPt2rVhbm6Oo0eP4vz58yp7aApTpUoVbN68GT179oSrq6vKlarPnDmDHTt2oF+/fu98PV73vtusCWPGjMG+ffvQoUMH9OvXDx4eHsjIyMDVq1exc+dO3L9/H+XKldN6HR+sYj6rjUqpjh07CsbGxkJGRsYb+/Tr108wNDQUT1dXKpWCk5OTAECYMWNGofNkZ2cLc+bMEdzd3QW5XC5YWVkJHh4ewrRp04SUlBSxH4A3nnq7evVqoWrVqoJcLheqV68urF27ttBTpDMyMoTg4GDB2tpaMDc3F7p06SKenjx79myVvgkJCUJwcLDg5OQkGBoaCvb29oKPj4+wcuXKd75Wzs7O7zwtXRAE4cmTJ4K/v79gamoqWFlZCV9++aXw559/FnravZmZWaHLyM3NFX744QehevXqgpGRkWBjYyO0bdtWiI6OFvu86bVzdnYW+vbtKz5/9uyZ0L9/f6FcuXKCubm54OfnJ9y4caNAvxkzZggNGjQQLC0tBRMTE6F69erC999/L2RnZ6ss/86dO0KfPn0Ee3t7wdDQUChfvrzQoUMHYefOnW98TXbt2iUAEFavXv3GPr/99psAQAgNDRUE4eVp9+7u7oVuX2G/h8Jej4sXLwp+fn6Cubm5YGpqKrRo0UI4c+ZMgXmjo6MFT09PwcjISKhQoYIwf/78N552X9i6mzVrJjRr1kylbdWqVULlypUFfX39d56Cn/9euHPnjtC6dWvB1NRUsLOzE6ZMmSLk5eUVOs/gwYMLXJbgbRISEoTZs2cLzZo1ExwcHAQDAwPByspKaNmyZYHfXVHfM2+6zMQff/whdO3aVShbtqwgl8sFZ2dnoUePHkJERIQgCIKQlZUljBkzRqhdu7ZQpkwZwczMTKhdu7awdOnSIm2LIAjCrVu3hKCgIKFixYqCkZGRUKZMGaFx48bC4sWLVS4LoenPSf774vz58yrLK+y1UOf9kpaWJowfP15wcXERjIyMhHLlygmNGjUS5s6dq/IZBE+7V5tMEIpphB9RCXTp0iXUrVsXmzZtEq/+TPQhGTFiBFavXo34+HiYmprquhyiEotjiEgyCruz9cKFC6Gnpwdvb28dVESkXS9evMCmTZvg7+/PMET0DhxDRJIREhKC6OhotGjRAgYGBjh48CAOHjyIgQMHFjjFn6g0S0xMxNGjR7Fz5048ffq00Ht2EZEqBiKSjEaNGiE8PBzfffcd0tPTUaFCBUydOrXA5QCISru//voLgYGBsLW1xaJFi954rR8i+n8cQ0RERESSxzFEREREJHk8ZFYESqUSjx8/RpkyZd77ispERERUvARBQFpaGhwdHd95+yMGoiJ4/PgxB90SERGVUg8fPixwg+zXMRAVQZkyZQC8fEHzL+NPREREJVtqaiqcnJzE7/G3YSAqgvzDZBYWFgxEREREpUxRhrtwUDURERFJHgMRERERSR4DEREREUkeAxERERFJHgMRERERSR4DEREREUkeAxERERFJHgMRERERSR4DEREREUkeAxERERFJHgMRERERSR4DEREREUkeAxERERFJHgMRERERSR4DEREREUmegS5XfuLECfzwww+Ijo5GXFwc9uzZgy5dugAAcnJyMHHiRPz666+4e/cuFAoFfH19MXv2bDg6OorLSEpKwtChQ7F//37o6enB398foaGhMDc3F/tcuXIFwcHBOH/+PGxsbDB06FCMHTu2uDe3VFp10UPXJVAxCqoXresSiIh0Qqd7iDIyMlC7dm0sWbKkwLTMzExcvHgRkyZNwsWLF7F7927cvHkTnTp1UukXGBiIa9euITw8HAcOHMCJEycwcOBAcXpqaipat24NZ2dnREdH44cffsDUqVOxcuVKrW8fERERlQ4yQRAEXRcBADKZTGUPUWHOnz+PBg0a4MGDB6hQoQKuX78ONzc3nD9/HvXr1wcAHDp0CO3atcPff/8NR0dHLFu2DBMmTEB8fDyMjIwAAOPGjcPevXtx48aNItWWmpoKhUKBlJQUWFhY/OdtLU24h0hauIdIWvj5lhYpfr7V+f4uVWOIUlJSIJPJYGlpCQCIioqCpaWlGIYAwNfXF3p6ejh79qzYx9vbWwxDAODn54ebN2/i2bNnha4nKysLqampKg8iIiL6cJWaQPTixQt88803+PTTT8WUFx8fD1tbW5V+BgYGsLa2Rnx8vNjHzs5OpU/+8/w+r5s1axYUCoX4cHJy0vTmEBERUQlSKgJRTk4OevToAUEQsGzZMq2vb/z48UhJSREfDx8+1Po6iYiISHd0epZZUeSHoQcPHuDYsWMqxwDt7e2RmJio0j83NxdJSUmwt7cX+yQkJKj0yX+e3+d1crkccrlck5tBREREJViJ3kOUH4ZiYmJw9OhRlC1bVmW6l5cXkpOTER39/wPFjh07BqVSCU9PT7HPiRMnkJOTI/YJDw9HtWrVYGVlVTwbQkRERCWaTgNReno6Ll26hEuXLgEA7t27h0uXLiE2NhY5OTno1q0bLly4gLCwMOTl5SE+Ph7x8fHIzs4GALi6uqJNmzYICgrCuXPncPr0aQwZMgQBAQHitYp69eoFIyMjDBgwANeuXcO2bdsQGhqKkSNH6mqziYiIqITR6SGzCxcuoEWLFuLz/JDSt29fTJ06Ffv27QMA1KlTR2W+yMhING/eHAAQFhaGIUOGwMfHR7ww46JFi8S+CoUCR44cQXBwMDw8PFCuXDlMnjxZ5VpFREREJG06DUTNmzfH2y6DVJRLJFlbW2Pz5s1v7VOrVi2cPHlS7fqIiIhIGkr0GCIiIiKi4sBARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJKn00B04sQJdOzYEY6OjpDJZNi7d6/KdEEQMHnyZDg4OMDExAS+vr6IiYlR6ZOUlITAwEBYWFjA0tISAwYMQHp6ukqfK1euoGnTpjA2NoaTkxNCQkK0vWlERERUiug0EGVkZKB27dpYsmRJodNDQkKwaNEiLF++HGfPnoWZmRn8/Pzw4sULsU9gYCCuXbuG8PBwHDhwACdOnMDAgQPF6ampqWjdujWcnZ0RHR2NH374AVOnTsXKlSu1vn1ERERUOhjocuVt27ZF27ZtC50mCAIWLlyIiRMnonPnzgCADRs2wM7ODnv37kVAQACuX7+OQ4cO4fz586hfvz4AYPHixWjXrh3mzp0LR0dHhIWFITs7G2vWrIGRkRHc3d1x6dIlzJ8/XyU4ERERkXSV2DFE9+7dQ3x8PHx9fcU2hUIBT09PREVFAQCioqJgaWkphiEA8PX1hZ6eHs6ePSv28fb2hpGRkdjHz88PN2/exLNnzwpdd1ZWFlJTU1UeRERE9OEqsYEoPj4eAGBnZ6fSbmdnJ06Lj4+Hra2tynQDAwNYW1ur9ClsGa+u43WzZs2CQqEQH05OTv99g4iIiKjEKrGBSJfGjx+PlJQU8fHw4UNdl0RERERaVGIDkb29PQAgISFBpT0hIUGcZm9vj8TERJXpubm5SEpKUulT2DJeXcfr5HI5LCwsVB5ERET04SqxgahSpUqwt7dHRESE2JaamoqzZ8/Cy8sLAODl5YXk5GRER0eLfY4dOwalUglPT0+xz4kTJ5CTkyP2CQ8PR7Vq1WBlZVVMW0NEREQlmU4DUXp6Oi5duoRLly4BeDmQ+tKlS4iNjYVMJsPw4cMxY8YM7Nu3D1evXkWfPn3g6OiILl26AABcXV3Rpk0bBAUF4dy5czh9+jSGDBmCgIAAODo6AgB69eoFIyMjDBgwANeuXcO2bdsQGhqKkSNH6miriYiIqKTR6Wn3Fy5cQIsWLcTn+SGlb9++WLduHcaOHYuMjAwMHDgQycnJaNKkCQ4dOgRjY2NxnrCwMAwZMgQ+Pj7Q09ODv78/Fi1aJE5XKBQ4cuQIgoOD4eHhgXLlymHy5Mk85Z6IiIhEMkEQBF0XUdKlpqZCoVAgJSVFcuOJVl300HUJVIyC6kW/uxN9MPj5lhYpfr7V+f4usWOIiIiIiIoLAxERERFJHgMRERERSR4DEREREUkeAxERERFJHgMRERERSR4DEREREUkeAxERERFJntqBKDY2FoVdy1EQBMTGxmqkKCIiIqLipHYgqlSpEp48eVKgPSkpCZUqVdJIUURERETFSe1AJAgCZDJZgfb09HSVe4wRERERlRZFvrlr/o1XZTIZJk2aBFNTU3FaXl4ezp49izp16mi8QCIiIiJtK3Ig+uOPPwC83EN09epVGBkZidOMjIxQu3ZtjB49WvMVEhEREWlZkQNRZGQkAKB///4IDQ2V3F3fiYiI6MNV5ECUb+3atdqog4iIiEhn1A5EGRkZmD17NiIiIpCYmAilUqky/e7duxorjoiIiKg4qB2IvvjiCxw/fhy9e/eGg4NDoWecEREREZUmageigwcP4pdffkHjxo21UQ8RERFRsVP7OkRWVlawtrbWRi1EREREOqF2IPruu+8wefJkZGZmaqMeIiIiomKn9iGzefPm4c6dO7Czs0PFihVhaGioMv3ixYsaK46IiIioOKgdiLp06aKFMoiIiIh0R+1ANGXKFG3UQURERKQzao8hIiIiIvrQqL2HSE9P763XHsrLy/tPBREREREVN7UD0Z49e1Se5+Tk4I8//sD69esxbdo0jRVGREREVFzUDkSdO3cu0NatWze4u7tj27ZtGDBggEYKIyIiIiouGhtD1LBhQ0RERGhqcURERETFRiOB6Pnz51i0aBHKly+vicURERERFSu1D5lZWVmpDKoWBAFpaWkwNTXFpk2bNFocERERUXFQOxAtXLhQ5bmenh5sbGzg6ekJKysrTdVFREREVGzUDkR9+/bVRh1EREREOqN2IAKA5ORkrF69GtevXwcAuLu74/PPP4dCodBocURERETFQe1B1RcuXECVKlWwYMECJCUlISkpCfPnz0eVKlV4Y1ciIiIqldTeQzRixAh06tQJq1atgoHBy9lzc3PxxRdfYPjw4Thx4oTGiyQiIiLSJrUD0YULF1TCEAAYGBhg7NixqF+/vkaLIyIiIioOah8ys7CwQGxsbIH2hw8fokyZMhopioiIiKg4qR2IevbsiQEDBmDbtm14+PAhHj58iK1bt+KLL77Ap59+qo0aiYiIiLRK7UNmc+fOhUwmQ58+fZCbmwsAMDQ0xKBBgzB79myNF0hERESkbWoHIiMjI4SGhmLWrFm4c+cOAKBKlSowNTXVeHFERERExeG9rkMEAKampqhZs6YmayEiIiLSCbUD0YsXL7B48WJERkYiMTERSqVSZTqvRURERESljdqBaMCAAThy5Ai6deuGBg0aqNzolYiIiKg0UjsQHThwAL/++isaN26sjXqIiIiIip3ap92XL1+e1xsiIiKiD4ragWjevHn45ptv8ODBA23UQ0RERFTs1D5kVr9+fbx48QKVK1eGqakpDA0NVaYnJSVprDgiIiKi4qB2IPr000/x6NEjzJw5E3Z2dlodVJ2Xl4epU6di06ZNiI+Ph6OjI/r164eJEyeK6xUEAVOmTMGqVauQnJyMxo0bY9myZahataq4nKSkJAwdOhT79++Hnp4e/P39ERoaCnNzc63VTkRERKWH2oHozJkziIqKQu3atbVRj4o5c+Zg2bJlWL9+Pdzd3XHhwgX0798fCoUCw4YNAwCEhIRg0aJFWL9+PSpVqoRJkybBz88Pf/31F4yNjQEAgYGBiIuLQ3h4OHJyctC/f38MHDgQmzdv1vo2EBERUcmndiCqXr06nj9/ro1aCjhz5gw6d+6M9u3bAwAqVqyILVu24Ny5cwBe7h1auHAhJk6ciM6dOwMANmzYADs7O+zduxcBAQG4fv06Dh06hPPnz6N+/foAgMWLF6Ndu3aYO3cuHB0di2VbiIiIqORSe1D17NmzMWrUKPz22294+vQpUlNTVR6a1KhRI0RERODWrVsAgMuXL+PUqVNo27YtAODevXuIj4+Hr6+vOI9CoYCnpyeioqIAAFFRUbC0tBTDEAD4+vpCT08PZ8+eLXS9WVlZWt0uIiIiKlnU3kPUpk0bAICPj49KuyAIkMlkyMvL00xlAMaNG4fU1FRUr14d+vr6yMvLw/fff4/AwEAAQHx8PADAzs5OZT47OztxWnx8PGxtbVWmGxgYwNraWuzzulmzZmHatGka2w4iIiIq2dQORJGRkdqoo1Dbt29HWFgYNm/eDHd3d1y6dAnDhw+Ho6Mj+vbtq7X1jh8/HiNHjhSfp6amwsnJSWvrIyIiIt1SOxA1a9bsjdP+/PPP/1TM68aMGYNx48YhICAAAFCzZk08ePAAs2bNQt++fWFvbw8ASEhIgIODgzhfQkIC6tSpAwCwt7dHYmKiynJzc3ORlJQkzv86uVwOuVyu0W0hIiKikkvtMUSvS0tLw8qVK9GgQQONn3mWmZkJPT3VEvX19cUbylaqVAn29vaIiIgQp6empuLs2bPw8vICAHh5eSE5ORnR0dFin2PHjkGpVMLT01Oj9RIREVHppPYeonwnTpzA6tWrsWvXLjg6OqJr165YsmSJJmtDx44d8f3336NChQpwd3fHH3/8gfnz5+Pzzz8HAMhkMgwfPhwzZsxA1apVxdPuHR0d0aVLFwCAq6sr2rRpg6CgICxfvhw5OTkYMmQIAgICeIYZERERAVAzEMXHx2PdunVYvXo1UlNT0aNHD2RlZWHv3r1wc3PTeHGLFy/GpEmTMHjwYCQmJsLR0RFffvklJk+eLPYZO3YsMjIyMHDgQCQnJ6NJkyY4dOiQeA0iAAgLC8OQIUPg4+MjXphx0aJFGq+XiIiISieZIAhCUTp27NgRJ06cQPv27REYGIg2bdpAX18fhoaGuHz5slYCUUmRmpoKhUKBlJQUWFhY6LqcYrXqooeuS6BiFFQv+t2d6IPBz7e0SPHzrc73d5H3EB08eBDDhg3DoEGDVG6LQURERFTaFXlQ9alTp5CWlgYPDw94enrixx9/xD///KPN2oiIiIiKRZEDUcOGDbFq1SrExcXhyy+/xNatW+Ho6AilUonw8HCkpaVps04iIiIirVH7tHszMzN8/vnnOHXqFK5evYpRo0Zh9uzZsLW1RadOnbRRIxEREZFW/afrEFWrVg0hISH4+++/sWXLFk3VRERERFSs/vOFGYGXF0vs0qUL9u3bp4nFERERERUrjQQiIiIiotKMgYiIiIgkj4GIiIiIJI+BiIiIiCTvvQLRxo0b0bhxYzg6OuLBgwcAgIULF+Lnn3/WaHFERERExUHtQLRs2TKMHDkS7dq1Q3JyMvLy8gAAlpaWWLhwoabrIyIiItI6tQPR4sWLsWrVKkyYMAH6+vpie/369XH16lWNFkdERERUHNQORPfu3UPdunULtMvlcmRkZGikKCIiIqLipHYgqlSpEi5dulSg/dChQ3B1ddVETURERETFykDdGUaOHIng4GC8ePECgiDg3Llz2LJlC2bNmoWffvpJGzUSERERaZXageiLL76AiYkJJk6ciMzMTPTq1QuOjo4IDQ1FQECANmokIiIi0iq1AxEABAYGIjAwEJmZmUhPT4etra2m6yIiIiIqNmqPIXr+/DkyMzMBAKampnj+/DkWLlyII0eOaLw4IiIiouKgdiDq3LkzNmzYAABITk5GgwYNMG/ePHTu3BnLli3TeIFERERE2qZ2ILp48SKaNm0KANi5cyfs7e3x4MEDbNiwAYsWLdJ4gURERETapnYgyszMRJkyZQAAR44cQdeuXaGnp4eGDRuKt/EgIiIiKk3UDkQuLi7Yu3cvHj58iMOHD6N169YAgMTERFhYWGi8QCIiIiJtUzsQTZ48GaNHj0bFihXh6ekJLy8vAC/3FhV2BWsiIiKikk7t0+67deuGJk2aIC4uDrVr1xbbfXx88L///U+jxREREREVh/e6DpG9vT3s7e1V2ho0aKCRgoiIiIiK23sFogsXLmD79u2IjY1Fdna2yrTdu3drpDAiIiKi4qL2GKKtW7eiUaNGuH79Ovbs2YOcnBxcu3YNx44dg0Kh0EaNRERERFqldiCaOXMmFixYgP3798PIyAihoaG4ceMGevTogQoVKmijRiIiIiKtUjsQ3blzB+3btwcAGBkZISMjAzKZDCNGjMDKlSs1XiARERGRtqkdiKysrJCWlgYAKF++PP78808AL2/jkX+PMyIiIqLSRO1B1d7e3ggPD0fNmjXRvXt3fP311zh27BjCw8Ph4+OjjRqJiIiItErtQPTjjz/ixYsXAIAJEybA0NAQZ86cgb+/PyZOnKjxAomIiIi0Te1AZG1tLf6sp6eHcePGabQgIiIiouL2XtchUiqVuH37NhITE6FUKlWmeXt7a6QwIiIiouKidiD6/fff0atXLzx48ACCIKhMk8lkyMvL01hxRERERMVB7UD01VdfoX79+vjll1/g4OAAmUymjbqIiIiIio3agSgmJgY7d+6Ei4uLNuohIiIiKnZqX4fI09MTt2/f1kYtRERERDpRpD1EV65cEX8eOnQoRo0ahfj4eNSsWROGhoYqfWvVqqXZComIiIi0rEiBqE6dOpDJZCqDqD///HPx5/xpHFRNREREpVGRAtG9e/e0XQcRERGRzhQpEDk7O2u7DiIiIiKdUXtQ9axZs7BmzZoC7WvWrMGcOXM0UhQRERFRcVI7EK1YsQLVq1cv0O7u7o7ly5drpCgiIiKi4qR2IIqPj4eDg0OBdhsbG8TFxWmkKCIiIqLipHYgcnJywunTpwu0nz59Go6OjhopioiIiKg4qR2IgoKCMHz4cKxduxYPHjzAgwcPsGbNGowYMQJBQUEaL/DRo0f47LPPULZsWZiYmKBmzZq4cOGCOF0QBEyePBkODg4wMTGBr68vYmJiVJaRlJSEwMBAWFhYwNLSEgMGDEB6errGayUiIqLSSe1bd4wZMwZPnz7F4MGDkZ2dDQAwNjbGN998g/Hjx2u0uGfPnqFx48Zo0aIFDh48CBsbG8TExMDKykrsExISgkWLFmH9+vWoVKkSJk2aBD8/P/z1118wNjYGAAQGBiIuLg7h4eHIyclB//79MXDgQGzevFmj9RIREVHpJBNev2X9W+Tl5eH06dPiFaqvX78OExMTVK1aFXK5XOPFjRs3DqdPn8bJkycLnS4IAhwdHTFq1CiMHj0aAJCSkgI7OzusW7cOAQEBuH79Otzc3HD+/HnUr18fAHDo0CG0a9cOf//9d5EO86WmpkKhUCAlJQUWFhaa28BSYNVFD12XQMUoqF60rkugYsTPt7RI8fOtzve3WofM9PX10bp1ayQnJ8Pc3ByffPIJatSooZUwBAD79u1D/fr10b17d9ja2qJu3bpYtWqVOP3evXuIj4+Hr6+v2KZQKODp6YmoqCgAQFRUFCwtLcUwBAC+vr7Q09PD2bNnC11vVlYWUlNTVR5ERET04VJ7DFGNGjVw9+5dbdRSwN27d7Fs2TJUrVoVhw8fxqBBgzBs2DCsX78ewMsz3gDAzs5OZT47OztxWnx8PGxtbVWmGxgYwNraWuzzulmzZkGhUIgPJycnTW8aERERlSBqB6IZM2Zg9OjROHDgAOLi4rS6J0WpVKJevXqYOXMm6tati4EDByIoKEjr1zsaP348UlJSxMfDhw+1uj4iIiLSLbUHVbdr1w4A0KlTJ8hkMrFdGzd3dXBwgJubm0qbq6srdu3aBQCwt7cHACQkJKhcGykhIQF16tQR+yQmJqosIzc3F0lJSeL8r5PL5Vo7DEhEREQlj9qBKDIyUht1FKpx48a4efOmStutW7fEe6tVqlQJ9vb2iIiIEANQamoqzp49i0GDBgEAvLy8kJycjOjoaHh4vBxAeOzYMSiVSnh6ehbbthAREVHJpXYgatasmTbqKNSIESPQqFEjzJw5Ez169MC5c+ewcuVKrFy5EgAgk8kwfPhwzJgxA1WrVhVPu3d0dESXLl0AvNyj1KZNG/FQW05ODoYMGYKAgABeSJKIiIgAvEcgOnHixFune3t7v3cxr/vkk0+wZ88ejB8/HtOnT0elSpWwcOFCBAYGin3Gjh2LjIwMDBw4EMnJyWjSpAkOHTokXoMIAMLCwjBkyBD4+PhAT08P/v7+WLRokcbqJCIiotJNresQAYCeXsFx2K+OJdLkGKKSgtchIqmQ4nVKpIyfb2mR4udba9chAl5ePfrVR2JiIg4dOoRPPvkER44cee+iiYiIiHRF7UNmCoWiQFurVq1gZGSEkSNHIjpaegmUiIiISje19xC9iZ2dXYEzwoiIiIhKA7X3EF25ckXluSAIiIuLw+zZs8VT34mIiIhKE7UDUZ06dSCTyfD6WOyGDRtizZo1GiuMiIiIqLioHYju3bun8lxPTw82NjYqp7kTERERlSZqBaL79+8jPDwc2dnZaN68Odzd3bVVFxEREVGxKXIgioyMRIcOHfD8+fOXMxoYYM2aNfjss8+0VhwRERFRcSjyWWaTJk1Cq1at8OjRIzx9+hRBQUEYO3asNmsjIiIiKhZFDkR//vknZs6cCQcHB1hZWeGHH35AYmIinj59qs36iIiIiLSuyIEoNTUV5cqVE5+bmprCxMQEKSkpWimMiIiIqLioNaj68OHDKleqViqViIiIwJ9//im2derUSXPVERERERUDtQJR3759C7R9+eWX4s8ymeyDvLkrERERfdiKHIiUSqU26yAiIiLSGY3dy4yIiIiotGIgIiIiIsljICIiIiLJYyAiIiIiyWMgIiIiIsl7r0CUnJyMn376CePHj0dSUhIA4OLFi3j06JFGiyMiIiIqDmpdhwgArly5Al9fXygUCty/fx9BQUGwtrbG7t27ERsbiw0bNmijTiIiIiKtUXsP0ciRI9GvXz/ExMTA2NhYbG/Xrh1OnDih0eKIiIiIioPagej8+fMqV6fOV758ecTHx2ukKCIiIqLipHYgksvlSE1NLdB+69Yt2NjYaKQoIiIiouKkdiDq1KkTpk+fjpycHAAv718WGxuLb775Bv7+/hovkIiIiEjb1A5E8+bNQ3p6OmxtbfH8+XM0a9YMLi4uKFOmDL7//ntt1EhERESkVWqfZaZQKBAeHo5Tp07hypUrSE9PR7169eDr66uN+oiIiIi0Tu1AlK9JkyZo0qSJJmshIiIi0gm1A9GiRYsKbZfJZDA2NoaLiwu8vb2hr6//n4sjIiIiKg5qB6IFCxbgyZMnyMzMhJWVFQDg2bNnMDU1hbm5ORITE1G5cmVERkbCyclJ4wUTERERaZrag6pnzpyJTz75BDExMXj69CmePn2KW7duwdPTE6GhoYiNjYW9vT1GjBihjXqJiIiINE7tPUQTJ07Erl27UKVKFbHNxcUFc+fOhb+/P+7evYuQkBCegk9ERESlhtp7iOLi4pCbm1ugPTc3V7xStaOjI9LS0v57dURERETFQO1A1KJFC3z55Zf4448/xLY//vgDgwYNQsuWLQEAV69eRaVKlTRXJREREZEWqR2IVq9eDWtra3h4eEAul0Mul6N+/fqwtrbG6tWrAQDm5uaYN2+exoslIiIi0ga1xxDZ29sjPDwcN27cwK1btwAA1apVQ7Vq1cQ+LVq00FyFRERERFr23hdmrF69OqpXr67JWoiIiIh04r0C0d9//419+/YhNjYW2dnZKtPmz5+vkcKIiIiIiovagSgiIgKdOnVC5cqVcePGDdSoUQP379+HIAioV6+eNmokIiIi0iq1B1WPHz8eo0ePxtWrV2FsbIxdu3bh4cOHaNasGbp3766NGomIiIi0Su1AdP36dfTp0wcAYGBggOfPn8Pc3BzTp0/HnDlzNF4gERERkbapHYjMzMzEcUMODg64c+eOOO2ff/7RXGVERERExUTtMUQNGzbEqVOn4Orqinbt2mHUqFG4evUqdu/ejYYNG2qjRiIiIiKtUjsQzZ8/H+np6QCAadOmIT09Hdu2bUPVqlV5hhkRERGVSmoFory8PPz999+oVasWgJeHz5YvX66VwoiIiIiKi1pjiPT19dG6dWs8e/ZMW/UQERERFTu1B1XXqFEDd+/e1UYtRERERDqhdiCaMWMGRo8ejQMHDiAuLg6pqakqD22aPXs2ZDIZhg8fLra9ePECwcHBKFu2LMzNzeHv74+EhASV+WJjY9G+fXuYmprC1tYWY8aMQW5urlZrJSIiotJD7UHV7dq1AwB06tQJMplMbBcEATKZDHl5eZqr7hXnz5/HihUrxPFL+UaMGIFffvkFO3bsgEKhwJAhQ9C1a1ecPn0awMtxT+3bt4e9vT3OnDmDuLg49OnTB4aGhpg5c6ZWaiUiIqLSRe1AFBkZqY063io9PR2BgYFYtWoVZsyYIbanpKRg9erV2Lx5M1q2bAkAWLt2LVxdXfH777+jYcOGOHLkCP766y8cPXoUdnZ2qFOnDr777jt88803mDp1KoyMjIp9e4iIiKhkUTsQNWvWTBt1vFVwcDDat28PX19flUAUHR2NnJwc+Pr6im3Vq1dHhQoVEBUVhYYNGyIqKgo1a9aEnZ2d2MfPzw+DBg3CtWvXULdu3QLry8rKQlZWlvhc24cCiYiISLfUHkMEACdPnsRnn32GRo0a4dGjRwCAjRs34tSpUxotDgC2bt2KixcvYtasWQWmxcfHw8jICJaWlirtdnZ2iI+PF/u8Gobyp+dPK8ysWbOgUCjEh5OTkwa2hIiIiEoqtQPRrl274OfnBxMTE1y8eFHck5KSkqLxMTkPHz7E119/jbCwMBgbG2t02W8zfvx4pKSkiI+HDx8W27qJiIio+L3XWWbLly/HqlWrYGhoKLY3btwYFy9e1Ghx0dHRSExMRL169WBgYAADAwMcP34cixYtgoGBAezs7JCdnY3k5GSV+RISEmBvbw8AsLe3L3DWWf7z/D6vk8vlsLCwUHkQERHRh0vtQHTz5k14e3sXaFcoFAWCyX/l4+ODq1ev4tKlS+Kjfv36CAwMFH82NDRERESESn2xsbHw8vICAHh5eeHq1atITEwU+4SHh8PCwgJubm4arZeIiIhKJ7UHVdvb2+P27duoWLGiSvupU6dQuXJlTdUFAChTpgxq1Kih0mZmZoayZcuK7QMGDMDIkSNhbW0NCwsLDB06FF5eXuKNZlu3bg03Nzf07t0bISEhiI+Px8SJExEcHAy5XK7ReomIiKh0UjsQBQUF4euvv8aaNWsgk8nw+PFjREVFYfTo0Zg0aZI2anyrBQsWQE9PD/7+/sjKyoKfnx+WLl0qTtfX18eBAwcwaNAgeHl5wczMDH379sX06dOLvVYiIiIqmdQOROPGjYNSqYSPjw8yMzPh7e0NuVyO0aNHY+jQodqoUcVvv/2m8tzY2BhLlizBkiVL3jiPs7Mzfv31Vy1XRkRERKWV2oFIJpNhwoQJGDNmDG7fvo309HS4ubnB3NxcG/URERERaZ3ag6o3bdqEzMxMGBkZwc3NDQ0aNGAYIiIiolJN7UA0YsQI2NraolevXvj111+1du8yIiIiouKidiCKi4vD1q1bIZPJ0KNHDzg4OCA4OBhnzpzRRn1EREREWqd2IDIwMECHDh0QFhaGxMRELFiwAPfv30eLFi1QpUoVbdRIREREpFVqD6p+lampKfz8/PDs2TM8ePAA169f11RdRERERMXmvW7umpmZibCwMLRr1w7ly5fHwoUL8b///Q/Xrl3TdH1EREREWqf2HqKAgAAcOHAApqam6NGjByZNmiTeJoOIiIioNFI7EOnr62P79u3w8/ODvr6+yrQ///yzwK02iIiIiEo6tQNRWFiYyvO0tDRs2bIFP/30E6Kjo3kaPhEREZU67zWGCABOnDiBvn37wsHBAXPnzkXLli3x+++/a7I2IiIiomKh1h6i+Ph4rFu3DqtXr0Zqaip69OiBrKws7N27F25ubtqqkYiIiEiriryHqGPHjqhWrRquXLmChQsX4vHjx1i8eLE2ayMiIiIqFkXeQ3Tw4EEMGzYMgwYNQtWqVbVZExEREVGxKvIeolOnTiEtLQ0eHh7w9PTEjz/+iH/++UebtREREREViyIHooYNG2LVqlWIi4vDl19+ia1bt8LR0RFKpRLh4eFIS0vTZp1EREREWqP2WWZmZmb4/PPPcerUKVy9ehWjRo3C7NmzYWtri06dOmmjRiIiIiKteu/T7gGgWrVqCAkJwd9//40tW7ZoqiYiIiKiYvWfAlE+fX19dOnSBfv27dPE4oiIiIiKlUYCEREREVFpxkBEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSV6ID0axZs/DJJ5+gTJkysLW1RZcuXXDz5k2VPi9evEBwcDDKli0Lc3Nz+Pv7IyEhQaVPbGws2rdvD1NTU9ja2mLMmDHIzc0tzk0hIiKiEqxEB6Ljx48jODgYv//+O8LDw5GTk4PWrVsjIyND7DNixAjs378fO3bswPHjx/H48WN07dpVnJ6Xl4f27dsjOzsbZ86cwfr167Fu3TpMnjxZF5tEREREJZBMEARB10UU1ZMnT2Bra4vjx4/D29sbKSkpsLGxwebNm9GtWzcAwI0bN+Dq6oqoqCg0bNgQBw8eRIcOHfD48WPY2dkBAJYvX45vvvkGT548gZGR0TvXm5qaCoVCgZSUFFhYWGh1G0uaVRc9dF0CFaOgetG6LoGKET/f0iLFz7c6398leg/R61JSUgAA1tbWAIDo6Gjk5OTA19dX7FO9enVUqFABUVFRAICoqCjUrFlTDEMA4Ofnh9TUVFy7dq3Q9WRlZSE1NVXlQURERB+uUhOIlEolhg8fjsaNG6NGjRoAgPj4eBgZGcHS0lKlr52dHeLj48U+r4ah/On50woza9YsKBQK8eHk5KThrSEiIqKSpNQEouDgYPz555/YunWr1tc1fvx4pKSkiI+HDx9qfZ1ERESkOwa6LqAohgwZggMHDuDEiRP46KOPxHZ7e3tkZ2cjOTlZZS9RQkIC7O3txT7nzp1TWV7+WWj5fV4nl8shl8s1vBVERERUUpXoPUSCIGDIkCHYs2cPjh07hkqVKqlM9/DwgKGhISIiIsS2mzdvIjY2Fl5eXgAALy8vXL16FYmJiWKf8PBwWFhYwM3NrXg2hIiIiEq0Er2HKDg4GJs3b8bPP/+MMmXKiGN+FAoFTExMoFAoMGDAAIwcORLW1tawsLDA0KFD4eXlhYYNGwIAWrduDTc3N/Tu3RshISGIj4/HxIkTERwczL1AREREBKCEB6Jly5YBAJo3b67SvnbtWvTr1w8AsGDBAujp6cHf3x9ZWVnw8/PD0qVLxb76+vo4cOAABg0aBC8vL5iZmaFv376YPn16cW0GERERlXAlOhAV5RJJxsbGWLJkCZYsWfLGPs7Ozvj11181WRoRERF9QEr0GCIiIiKi4sBARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJLHQERERESSx0BEREREksdARERERJInqUC0ZMkSVKxYEcbGxvD09MS5c+d0XRIRERGVAJIJRNu2bcPIkSMxZcoUXLx4EbVr14afnx8SExN1XRoRERHpmGQC0fz58xEUFIT+/fvDzc0Ny5cvh6mpKdasWaPr0oiIiEjHDHRdQHHIzs5GdHQ0xo8fL7bp6enB19cXUVFRBfpnZWUhKytLfJ6SkgIASE1N1X6xJczz9Dxdl0DFSIrvcSnj51tapPj5zt9mQRDe2VcSgeiff/5BXl4e7OzsVNrt7Oxw48aNAv1nzZqFadOmFWh3cnLSWo1EJcHXUOi6BCLSEil/vtPS0qBQvH37JRGI1DV+/HiMHDlSfK5UKpGUlISyZctCJpPpsDIqDqmpqXBycsLDhw9hYWGh63KISIP4+ZYWQRCQlpYGR0fHd/aVRCAqV64c9PX1kZCQoNKekJAAe3v7Av3lcjnkcrlKm6WlpTZLpBLIwsKCfzCJPlD8fEvHu/YM5ZPEoGojIyN4eHggIiJCbFMqlYiIiICXl5cOKyMiIqKSQBJ7iABg5MiR6Nu3L+rXr48GDRpg4cKFyMjIQP/+/XVdGhEREemYZAJRz5498eTJE0yePBnx8fGoU6cODh06VGCgNZFcLseUKVMKHDYlotKPn296E5lQlHPRiIiIiD5gkhhDRERERPQ2DEREREQkeQxEREREJHkMRERERCR5DEREREQkeQxEREREJHkMRESFePHiha5LICIN2rhxIxo3bgxHR0c8ePAAALBw4UL8/PPPOq6MSgoGIqJ/KZVKfPfddyhfvjzMzc1x9+5dAMCkSZOwevVqHVdHRO9r2bJlGDlyJNq1a4fk5GTk5eUBeHmPyoULF+q2OCoxGIiI/jVjxgysW7cOISEhMDIyEttr1KiBn376SYeVEdF/sXjxYqxatQoTJkyAvr6+2F6/fn1cvXpVh5VRScJARPSvDRs2YOXKlQgMDFT5o1m7dm3cuHFDh5UR0X9x79491K1bt0C7XC5HRkaGDiqikoiBiOhfjx49gouLS4F2pVKJnJwcHVRERJpQqVIlXLp0qUD7oUOH4OrqWvwFUYkkmZu7Er2Lm5sbTp48CWdnZ5X2nTt3FvrfJRGVDiNHjkRwcDBevHgBQRBw7tw5bNmyBbNmzeLhcBIxEBH9a/Lkyejbty8ePXoEpVKJ3bt34+bNm9iwYQMOHDig6/KI6D198cUXMDExwcSJE5GZmYlevXrB0dERoaGhCAgI0HV5VELwbvdErzh58iSmT5+Oy5cvIz09HfXq1cPkyZPRunVrXZdGRBqQmZmJ9PR02Nra6roUKmEYiIgA5ObmYubMmfj888/x0Ucf6bocIiIqZhxUTQTAwMAAISEhyM3N1XUpRKRhCQkJ6N27NxwdHWFgYAB9fX2VBxHAMUREIh8fHxw/fhwVK1bUdSlEpEH9+vVDbGwsJk2aBAcHB8hkMl2XRCUQAxHRv9q2bYtx48bh6tWr8PDwgJmZmcr0Tp066agyIvovTp06hZMnT6JOnTq6LoVKMI4hIvqXnt6bjyDLZDLxcv9EVLq4ubkhLCyMl8+gt+IYIqJ/KZXKNz4YhohKr4ULF2LcuHG4f/++rkuhEox7iIiI6INmZWWFzMxM5ObmwtTUFIaGhirTk5KSdFQZlSQcQ0T0iuPHj2Pu3Lm4fv06gJe72seMGYOmTZvquDIiel+8oz0VBfcQEf1r06ZN6N+/P7p27YrGjRsDAE6fPo09e/Zg3bp16NWrl44rJCIibWEgIvqXq6srBg4ciBEjRqi0z58/H6tWrRL3GhFRyZeamgoLCwvx57fJ70fSxkBE9C+5XI5r164VuOP97du3UaNGDbx48UJHlRGRuvT19REXFwdbW1vo6ekVeu0hQRB4BimJOIaI6F9OTk6IiIgoEIiOHj0KJycnHVVFRO/j2LFjsLa2BgBERkbquBoqDRiIiP41atQoDBs2DJcuXUKjRo0AvBxDtG7dOoSGhuq4OiJSR7NmzQr9mehNeMiM6BV79uzBvHnzxPFCrq6uGDNmDDp37qzjyohIHVeuXCly31q1ammxEiotGIiIiOiDkz9u6F1fcRxDRPl4yIzoX5UrV8b58+dRtmxZlfbk5GTUq1cPd+/e1VFlRKSue/fu6boEKmUYiIj+df/+/UL/U8zKysKjR490UBERvS9nZ2ddl0ClDAMRSd6+ffvEnw8fPgyFQiE+z8vLQ0REBCpWrKiDyohIU2JiYhAZGYnExEQolUqVaZMnT9ZRVVSScAwRSV7+Xe4LG29gaGiIihUrYt68eejQoYMuyiOi/2jVqlUYNGgQypUrB3t7e5VrEslkMly8eFGH1VFJwUBE9K9KlSrh/PnzKFeunK5LISINcnZ2xuDBg/HNN9/ouhQqwRiIiN4iOTkZlpaWui6DiP4DCwsLXLp0CZUrV9Z1KVSC6em6AKKSYs6cOdi2bZv4vHv37rC2tkb58uVx+fJlHVZGRP9F9+7dceTIEV2XQSUcB1UT/Wv58uUICwsDAISHh+Po0aM4dOgQtm/fjjFjxvAPKlEp5eLigkmTJiEqKgq1atWCoaGhyvRhw4bpqDIqSXjIjOhfJiYmuHXrFpycnPD111/jxYsXWLFiBW7dugVPT088e/ZM1yUS0XuoVKnSG6fJZDJeY4wAcA8RkcjKygoPHz6Ek5MTDh06hBkzZgB4eUdsXsmWqPTKv0jjP//8AwA8cYIKxTFERP/q2rUrevXqhVatWuHp06do27YtAOCPP/6Ai4uLjqsjoveRnJyM4OBglCtXDnZ2drCzs0O5cuUwZMgQpKSk6Lo8KkG4h4joXwsWLEDFihXx8OFDhISEwNzcHAAQFxeHwYMH67g6IlJXUlISvLy88OjRIwQGBsLV1RUA8Ndff2HdunWIiIjAmTNnYGVlpeNKqSTgGCIiIvogDR8+HBERETh69Cjs7OxUpsXHx6N169bw8fHBggULdFQhlSQ8ZEZUCAsLCw60JCrl9u7di7lz5xYIQwBgb2+PkJAQ7NmzRweVUUnEQERUCO44JSr94uLi4O7u/sbpNWrUQHx8fDFWRCUZAxEREX2QypUrh/v3779x+r1792BtbV18BVGJxkBEVIjPPvsMFhYWui6DiP4DPz8/TJgwAdnZ2QWmZWVlYdKkSWjTpo0OKqOSiIOqiYjog/T333+jfv36kMvlCA4ORvXq1SEIAq5fv46lS5ciKysLFy5cgJOTk65LpRKAgYjoFREREYiIiEBiYiKUSqXKtDVr1uioKiJ6X/fu3cPgwYNx5MgRcWygTCZDq1at8OOPP/IaYyRiICL617Rp0zB9+nTUr18fDg4OkMlkKtN5NgpR6fXs2TPExMQAeHlvM44dotcxEBH9y8HBASEhIejdu7euSyEiomLGQdVE/8rOzkajRo10XQYREekAAxHRv7744gts3rxZ12UQEZEO8F5mRP968eIFVq5ciaNHj6JWrVowNDRUmT5//nwdVUZERNrGMURE/2rRosVbp0dGRhZTJUREVNwYiIiIiEjyeMiMJK9r167v7COTybBr165iqIaIiHSBgYgkT6FQ6LoEIiLSMR4yIyIiIsnjafdEREQkeQxEREREJHkMRERERCR5DEREREQkeQxERFQirFu3DpaWlrouA82bN8fw4cN1XUaRlJTXjOhDwEBERP/ZkydPMGjQIFSoUAFyuRz29vbw8/PD6dOndV2aiuzsbISEhKB27dowNTVFuXLl0LhxY6xduxY5OTm6Lo+IdIjXISKi/8zf3x/Z2dlYv349KleujISEBERERODp06e6Lk2UnZ0NPz8/XL58Gd999x0aN24MCwsL/P7775g7dy7q1q2LOnXq6LpMItIR7iEiov8kOTkZJ0+exJw5c9CiRQs4OzujQYMGGD9+PDp16iT2mz9/PmrWrAkzMzM4OTlh8ODBSE9Pf+uyf/75Z9SrVw/GxsaoXLkypk2bhtzcXACAIAiYOnWquFfK0dERw4YNe+OyFi5ciBMnTiAiIgLBwcGoU6cOKleujF69euHs2bOoWrWq2FepVGLs2LGwtraGvb09pk6dqrKsd21L/qGsw4cPw9XVFebm5mjTpg3i4uLEPv369UOXLl0wd+5cODg4oGzZsggODlbZU5WVlYXRo0ejfPnyMDMzg6enJ3777be3vmZE9H4YiIjoPzE3N4e5uTn27t2LrKysN/bT09PDokWLcO3aNaxfvx7Hjh3D2LFj39j/5MmT6NOnD77++mv89ddfWLFiBdatW4fvv/8eALBr1y4sWLAAK1asQExMDPbu3YuaNWu+cXlhYWHw9fVF3bp1C0wzNDSEmZmZ+Hz9+vUwMzPD2bNnERISgunTpyM8PFytbcnMzMTcuXOxceNGnDhxArGxsRg9erRKn8jISNy5cweRkZFYv3491q1bh3Xr1onThwwZgqioKGzduhVXrlxB9+7d0aZNG8TExLxxO4noPQlERP/Rzp07BSsrK8HY2Fho1KiRMH78eOHy5ctvnWfHjh1C2bJlxedr164VFAqF+NzHx0eYOXOmyjwbN24UHBwcBEEQhHnz5gkff/yxkJ2dXaQaTUxMhGHDhr2zX7NmzYQmTZqotH3yySfCN99888Z5CtsWAMLt27fFtiVLlgh2dnbi8759+wrOzs5Cbm6u2Na9e3ehZ8+egiAIwoMHDwR9fX3h0aNHKuvy8fERxo8fL67n1deMiN4f9xAR0X/m7++Px48fY9++fWjTpg1+++031KtXT2Vvx9GjR+Hj44Py5cujTJky6N27N54+fYrMzMxCl3n58mVMnz5d3ANlbm6OoKAgxMXFITMzE927d8fz589RuXJlBAUFYc+ePeLhtMIIatylqFatWirPHRwckJiYqNa2mJqaokqVKm9cBgC4u7tDX1+/0D5Xr15FXl4ePv74Y5XX4Pjx47hz506Rt4WIioaBiIg0wtjYGK1atcKkSZNw5swZ9OvXD1OmTAEA3L9/Hx06dECtWrWwa9cuREdHY8mSJQBeDnYuTHp6OqZNm4ZLly6Jj6tXryImJgbGxsZwcnLCzZs3sXTpUpiYmGDw4MHw9vZ+49liH3/8MW7cuFGkbTE0NFR5LpPJoFQq1dqWwpbxeih723rS09Ohr6+P6Oholdfg+vXrCA0NLdJ2EFHR8SwzItIKNzc37N27FwAQHR0NpVKJefPmQU/v5f9h27dvf+v89erVw82bN+Hi4vLGPiYmJujYsSM6duyI4OBgVK9eHVevXkW9evUK9O3Vqxe+/fZb/PHHHwXGEeXk5CA7O1tlHNGbvM+2vI+6desiLy8PiYmJaNq0qcaXT0SqGIiI6D95+vQpunfvjs8//xy1atVCmTJlcOHCBYSEhKBz584AABcXF+Tk5GDx4sXo2LEjTp8+jeXLl791uZMnT0aHDh1QoUIFdOvWDXp6erh8+TL+/PNPzJgxA+vWrUNeXh48PT1hamqKTZs2wcTEBM7OzoUub/jw4fjll1/g4+OD7777Dk2aNBFrnTNnDlavXl2k0+7fZ1vex8cff4zAwED06dMH8+bNQ926dfHkyRNERESgVq1aaN++vcbXSSRlPGRGRP+Jubk5PD09sWDBAnh7e6NGjRqYNGkSgoKC8OOPPwIAateujfnz52POnDmoUaMGwsLCMGvWrLcu18/PDwcOHMCRI0fwySefoGHDhliwYIEYeCwtLbFq1So0btwYtWrVwtGjR7F//36ULVu20OXJ5XKEh4dj7NixWLFiBRo2bIhPPvkEixYtwrBhw1CjRo0ibe/7bMv7Wrt2Lfr06YNRo0ahWrVq6NKlC86fP48KFSpoZX1EUiYT1BlpSERERPQB4h4iIiIikjwGIiIiIpI8BiIiIiKSPAYiIiIikjwGIiIiIpI8BiIiIiKSPAYiIiIikjwGIiIiIpI8BiIiIiKSPAYiIiIikjwGIiIiIpK8/wOLk+D7Lj2cUQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "SalesChannel\n",
            "In-store    1212.319804\n",
            "Online      1203.969982\n",
            "Name: PurchaseAmount, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 20. Which country contributes the most to total revenue (Quantity × UnitPrice)?"
      ],
      "metadata": {
        "id": "IGD_aTQ_ceNW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Total revenue by country\n",
        "total_revenue_by_country = shop.groupby('Country')['PurchaseAmount'].sum()\n",
        "\n",
        "# Plotting\n",
        "total_revenue_by_country.plot(kind='barh', color='darkblue')\n",
        "plt.title('Total Revenue by Country')\n",
        "plt.xlabel('Total Revenue')\n",
        "plt.ylabel('Country')\n",
        "plt.show()\n",
        "\n",
        "# Display the result\n",
        "print(total_revenue_by_country)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 722
        },
        "id": "TbSkEEeVdD7u",
        "outputId": "24cd823d-3a02-41ba-82d8-1bd7c45237f9"
      },
      "execution_count": 114,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Country\n",
            "Australia         4846793.98\n",
            "Belgium           5124058.22\n",
            "France            5063516.55\n",
            "Germany           5111343.36\n",
            "Italy             4909348.59\n",
            "Netherlands       4934815.54\n",
            "Norway            4930232.35\n",
            "Portugal          4974618.96\n",
            "Spain             5014548.62\n",
            "Sweden            5028849.94\n",
            "United Kingdom    5128232.81\n",
            "United States     5076174.17\n",
            "Name: PurchaseAmount, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 21. How does shipping cost vary across different product categories?"
      ],
      "metadata": {
        "id": "w1B_ruZUclgm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Average shipping cost by category\n",
        "shipping_cost_by_category = shop.groupby('Category')['ShippingCost'].mean()\n",
        "\n",
        "# Plotting\n",
        "fig = px.bar(shipping_cost_by_category, x=shipping_cost_by_category.index, y=shipping_cost_by_category.values,\n",
        "             title='Average Shipping Cost by Product Category', labels={'x': 'Product Category', 'y': 'Average Shipping Cost'})\n",
        "fig.show()\n",
        "\n",
        "# Display the result\n",
        "print(shipping_cost_by_category)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 667
        },
        "id": "Ya2KYaHcdEZi",
        "outputId": "49ebfc68-54bc-4cf5-ab3c-da611d70467b"
      },
      "execution_count": 115,
      "outputs": [
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          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Category\n",
            "Accessories    17.524056\n",
            "Apparel        17.509095\n",
            "Electronics    17.457077\n",
            "Furniture      17.518234\n",
            "Stationery     17.463875\n",
            "Name: ShippingCost, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 22. What is the most frequently used warehouse location for high-priority orders?"
      ],
      "metadata": {
        "id": "iLCn_A_XcplO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Filter for high-priority orders\n",
        "high_priority_orders = shop[shop['OrderPriority'] == 'High']\n",
        "\n",
        "# Most common warehouse location for high-priority orders\n",
        "most_common_warehouse_high_priority = high_priority_orders['WarehouseLocation'].mode()[0]\n",
        "\n",
        "# Display the result\n",
        "print(f\"Most frequently used warehouse location for high-priority orders: {most_common_warehouse_high_priority}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mIdFmyirdEqK",
        "outputId": "0cc30a6f-30b4-498a-b4ff-f336ecded142"
      },
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Most frequently used warehouse location for high-priority orders: Amsterdam\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 23. Are there any patterns in payment methods used for high-value purchases?"
      ],
      "metadata": {
        "id": "Y3OSQNcHct1Y"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Filter high-value purchases (assuming high-value purchases have a UnitPrice > 100 or some other threshold)\n",
        "high_value_purchases = shop[shop['Quantity'] * shop['UnitPrice'] > 100]  # adjust threshold as needed\n",
        "\n",
        "# Count the occurrences of each payment method in high-value purchases\n",
        "payment_method_distribution_high_value = high_value_purchases['PaymentMethod'].value_counts().reset_index()\n",
        "payment_method_distribution_high_value.columns = ['PaymentMethod', 'count']\n",
        "\n",
        "# Plotting using sunburst\n",
        "fig = px.sunburst(payment_method_distribution_high_value,\n",
        "                  path=['PaymentMethod'],\n",
        "                  values='count',\n",
        "                  title=\"Payment Method Distribution for High-Value Purchases\")\n",
        "fig.show()\n",
        "\n",
        "# Display the result\n",
        "print(payment_method_distribution_high_value)\n"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "DEF6tmwldE75",
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      "execution_count": 117,
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "   PaymentMethod  count\n",
            "0  Bank Transfer  15112\n",
            "1    Credit Card  14868\n",
            "2        paypall  14857\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 24. Do certain shipment providers have a higher return rate than others?"
      ],
      "metadata": {
        "id": "E3HR3VSXcxzC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate return rates by shipment provider\n",
        "return_rate_by_shipment_provider = shop.groupby(['ShipmentProvider', 'ReturnStatus']).size().unstack(fill_value=0)\n",
        "return_rate_by_shipment_provider['ReturnRate'] = return_rate_by_shipment_provider['Returned'] / (\n",
        "    return_rate_by_shipment_provider['Returned'] + return_rate_by_shipment_provider['Not Returned'])\n",
        "\n",
        "# Plotting using sunburst\n",
        "fig = px.sunburst(return_rate_by_shipment_provider.reset_index(),\n",
        "                  path=['ShipmentProvider'],\n",
        "                  values='ReturnRate',\n",
        "                  title=\"Return Rate by Shipment Provider\")\n",
        "fig.show()\n",
        "\n",
        "# Display the result\n",
        "print(return_rate_by_shipment_provider[['ReturnRate']])\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 649
        },
        "id": "S-NZyZ_CdFSi",
        "outputId": "013ada7f-6dc4-4a9d-81d4-88314d2d0331"
      },
      "execution_count": 118,
      "outputs": [
        {
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ReturnStatus      ReturnRate\n",
            "ShipmentProvider            \n",
            "DHL                 0.099557\n",
            "FedEx               0.099032\n",
            "Royal Mail          0.099895\n",
            "UPS                 0.094748\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 25. How does the distribution of discounts vary across different countries?\n"
      ],
      "metadata": {
        "id": "5sUWxUgZc1AP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Distribution of discounts by country\n",
        "discount_by_country = shop.groupby('Country')['Discount'].mean()\n",
        "\n",
        "# Plotting using sunburst\n",
        "fig = px.sunburst(discount_by_country.reset_index(),\n",
        "                  path=['Country'],\n",
        "                  values='Discount',\n",
        "                  title=\"Discount Distribution Across Countries\")\n",
        "fig.show()\n",
        "\n",
        "# Display the result\n",
        "print(discount_by_country)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 792
        },
        "id": "W7jfECkIc5ds",
        "outputId": "43be44d1-9ade-467c-8745-22ab72ee5408"
      },
      "execution_count": 119,
      "outputs": [
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          "text": [
            "Country\n",
            "Australia         0.274786\n",
            "Belgium           0.272371\n",
            "France            0.277625\n",
            "Germany           0.277767\n",
            "Italy             0.276137\n",
            "Netherlands       0.288788\n",
            "Norway            0.272430\n",
            "Portugal          0.277550\n",
            "Spain             0.274629\n",
            "Sweden            0.269807\n",
            "United Kingdom    0.275982\n",
            "United States     0.270960\n",
            "Name: Discount, dtype: float64\n"
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