Adidas_sales_Analysis.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QWOA7_MlNC8M"
      },
      "source": [
        "![ADIDAS DTB.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2wF4Y906tGDC"
      },
      "source": [
        "# **IMPORTING THE REQUIRED PYTHON LIBRARIES**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "D5_YwY74sILf"
      },
      "outputs": [],
      "source": [
        "#Importing libraries\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import calendar\n",
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "from statsmodels.tsa.arima.model import ARIMA"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wrW_oVxwtnaw"
      },
      "source": [
        "# **READING THE DATASET USING PANDAS LIBRARY**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 774
        },
        "id": "C3-qtqGSsuwz",
        "outputId": "43c34ca0-9baf-4a34-947d-9540c3f5426f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Retailer  Retailer ID Invoice Date     Region          State  \\\n",
              "0     Foot Locker      1185732     1/1/2020  Northeast       New York   \n",
              "1     Foot Locker      1185732     1/2/2020  Northeast       New York   \n",
              "2     Foot Locker      1185732     1/3/2020  Northeast       New York   \n",
              "3     Foot Locker      1185732     1/4/2020  Northeast       New York   \n",
              "4     Foot Locker      1185732     1/5/2020  Northeast       New York   \n",
              "...           ...          ...          ...        ...            ...   \n",
              "9643  Foot Locker      1185732    1/24/2021  Northeast  New Hampshire   \n",
              "9644  Foot Locker      1185732    1/24/2021  Northeast  New Hampshire   \n",
              "9645  Foot Locker      1185732    2/22/2021  Northeast  New Hampshire   \n",
              "9646  Foot Locker      1185732    2/22/2021  Northeast  New Hampshire   \n",
              "9647  Foot Locker      1185732    2/22/2021  Northeast  New Hampshire   \n",
              "\n",
              "            City                    Product Price per Unit Units Sold  \\\n",
              "0       New York      Men's Street Footwear        $50.00       1,200   \n",
              "1       New York    Men's Athletic Footwear        $50.00       1,000   \n",
              "2       New York    Women's Street Footwear        $40.00       1,000   \n",
              "3       New York  Women's Athletic Footwear        $45.00         850   \n",
              "4       New York              Men's Apparel        $60.00         900   \n",
              "...          ...                        ...            ...        ...   \n",
              "9643  Manchester              Men's Apparel        $50.00          64   \n",
              "9644  Manchester            Women's Apparel        $41.00         105   \n",
              "9645  Manchester      Men's Street Footwear        $41.00         184   \n",
              "9646  Manchester    Men's Athletic Footwear        $42.00          70   \n",
              "9647  Manchester    Women's Street Footwear        $29.00          83   \n",
              "\n",
              "     Total Sales Operating Profit Operating Margin Sales Method  \n",
              "0      $600,000         $300,000               50%     In-store  \n",
              "1      $500,000         $150,000               30%     In-store  \n",
              "2      $400,000         $140,000               35%     In-store  \n",
              "3      $382,500         $133,875               35%     In-store  \n",
              "4      $540,000         $162,000               30%     In-store  \n",
              "...          ...              ...              ...          ...  \n",
              "9643     $3,200             $896               28%       Outlet  \n",
              "9644     $4,305           $1,378               32%       Outlet  \n",
              "9645     $7,544           $2,791               37%       Outlet  \n",
              "9646     $2,940           $1,235               42%       Outlet  \n",
              "9647     $2,407             $650               27%       Outlet  \n",
              "\n",
              "[9648 rows x 13 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8bb224d6-e537-4615-b409-9ac18a215a7b\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Retailer</th>\n",
              "      <th>Retailer ID</th>\n",
              "      <th>Invoice Date</th>\n",
              "      <th>Region</th>\n",
              "      <th>State</th>\n",
              "      <th>City</th>\n",
              "      <th>Product</th>\n",
              "      <th>Price per Unit</th>\n",
              "      <th>Units Sold</th>\n",
              "      <th>Total Sales</th>\n",
              "      <th>Operating Profit</th>\n",
              "      <th>Operating Margin</th>\n",
              "      <th>Sales Method</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/1/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Men's Street Footwear</td>\n",
              "      <td>$50.00</td>\n",
              "      <td>1,200</td>\n",
              "      <td>$600,000</td>\n",
              "      <td>$300,000</td>\n",
              "      <td>50%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/2/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Men's Athletic Footwear</td>\n",
              "      <td>$50.00</td>\n",
              "      <td>1,000</td>\n",
              "      <td>$500,000</td>\n",
              "      <td>$150,000</td>\n",
              "      <td>30%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/3/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Women's Street Footwear</td>\n",
              "      <td>$40.00</td>\n",
              "      <td>1,000</td>\n",
              "      <td>$400,000</td>\n",
              "      <td>$140,000</td>\n",
              "      <td>35%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/4/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Women's Athletic Footwear</td>\n",
              "      <td>$45.00</td>\n",
              "      <td>850</td>\n",
              "      <td>$382,500</td>\n",
              "      <td>$133,875</td>\n",
              "      <td>35%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/5/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Men's Apparel</td>\n",
              "      <td>$60.00</td>\n",
              "      <td>900</td>\n",
              "      <td>$540,000</td>\n",
              "      <td>$162,000</td>\n",
              "      <td>30%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9643</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/24/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Men's Apparel</td>\n",
              "      <td>$50.00</td>\n",
              "      <td>64</td>\n",
              "      <td>$3,200</td>\n",
              "      <td>$896</td>\n",
              "      <td>28%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9644</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/24/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Women's Apparel</td>\n",
              "      <td>$41.00</td>\n",
              "      <td>105</td>\n",
              "      <td>$4,305</td>\n",
              "      <td>$1,378</td>\n",
              "      <td>32%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9645</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>2/22/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Men's Street Footwear</td>\n",
              "      <td>$41.00</td>\n",
              "      <td>184</td>\n",
              "      <td>$7,544</td>\n",
              "      <td>$2,791</td>\n",
              "      <td>37%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9646</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>2/22/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Men's Athletic Footwear</td>\n",
              "      <td>$42.00</td>\n",
              "      <td>70</td>\n",
              "      <td>$2,940</td>\n",
              "      <td>$1,235</td>\n",
              "      <td>42%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9647</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>2/22/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Women's Street Footwear</td>\n",
              "      <td>$29.00</td>\n",
              "      <td>83</td>\n",
              "      <td>$2,407</td>\n",
              "      <td>$650</td>\n",
              "      <td>27%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>9648 rows × 13 columns</p>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "#Reading the dataset\n",
        "adidas = pd.read_csv ('/content/Adidas US Sales Datasets.csv')\n",
        "adidas"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mit2X--b0HDM"
      },
      "source": [
        "# **SHAPE OF THE DATAFRAME**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kJ31wJnv0ZHW",
        "outputId": "dc4e6e11-ccd6-44ce-c57d-ef8b92d38acf"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(9648, 13)"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "#Checking for the shape of the dataframe\n",
        "adidas.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1HKUS-3j0aAV"
      },
      "source": [
        "#**CHECKING FOR DUPLICATE VALUE**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OV9NgOW6g28E",
        "outputId": "31c9f56c-c5c6-41bb-c704-583d29ee14eb"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "# check for duplicate values and remove them\n",
        "adidas.duplicated().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_SpyNVxf0q3U"
      },
      "source": [
        "# **GETTING THE DATA INFORMATION**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5_oMynhl0v54",
        "outputId": "74dc62ae-1886-4950-cd6c-640249b7c74e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 9648 entries, 0 to 9647\n",
            "Data columns (total 13 columns):\n",
            " #   Column            Non-Null Count  Dtype \n",
            "---  ------            --------------  ----- \n",
            " 0   Retailer          9648 non-null   object\n",
            " 1   Retailer ID       9648 non-null   int64 \n",
            " 2   Invoice Date      9648 non-null   object\n",
            " 3   Region            9648 non-null   object\n",
            " 4   State             9648 non-null   object\n",
            " 5   City              9648 non-null   object\n",
            " 6   Product           9648 non-null   object\n",
            " 7   Price per Unit    9648 non-null   object\n",
            " 8   Units Sold        9648 non-null   object\n",
            " 9   Total Sales       9648 non-null   object\n",
            " 10  Operating Profit  9648 non-null   object\n",
            " 11  Operating Margin  9648 non-null   object\n",
            " 12  Sales Method      9648 non-null   object\n",
            "dtypes: int64(1), object(12)\n",
            "memory usage: 980.0+ KB\n"
          ]
        }
      ],
      "source": [
        "#Getting data information\n",
        "adidas.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 310
        },
        "id": "hr0pE2YwuBOV",
        "outputId": "d8247629-b537-4c62-d9a8-12e1af0095f0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      Retailer  Retailer ID Invoice Date     Region     State      City  \\\n",
              "0  Foot Locker      1185732     1/1/2020  Northeast  New York  New York   \n",
              "1  Foot Locker      1185732     1/2/2020  Northeast  New York  New York   \n",
              "2  Foot Locker      1185732     1/3/2020  Northeast  New York  New York   \n",
              "3  Foot Locker      1185732     1/4/2020  Northeast  New York  New York   \n",
              "4  Foot Locker      1185732     1/5/2020  Northeast  New York  New York   \n",
              "\n",
              "                     Product Price per Unit Units Sold Total Sales  \\\n",
              "0      Men's Street Footwear        $50.00       1,200   $600,000    \n",
              "1    Men's Athletic Footwear        $50.00       1,000   $500,000    \n",
              "2    Women's Street Footwear        $40.00       1,000   $400,000    \n",
              "3  Women's Athletic Footwear        $45.00         850   $382,500    \n",
              "4              Men's Apparel        $60.00         900   $540,000    \n",
              "\n",
              "  Operating Profit Operating Margin Sales Method  \n",
              "0        $300,000               50%     In-store  \n",
              "1        $150,000               30%     In-store  \n",
              "2        $140,000               35%     In-store  \n",
              "3        $133,875               35%     In-store  \n",
              "4        $162,000               30%     In-store  "
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Retailer</th>\n",
              "      <th>Retailer ID</th>\n",
              "      <th>Invoice Date</th>\n",
              "      <th>Region</th>\n",
              "      <th>State</th>\n",
              "      <th>City</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/1/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Men's Street Footwear</td>\n",
              "      <td>$50.00</td>\n",
              "      <td>1,200</td>\n",
              "      <td>$600,000</td>\n",
              "      <td>$300,000</td>\n",
              "      <td>50%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/2/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Men's Athletic Footwear</td>\n",
              "      <td>$50.00</td>\n",
              "      <td>1,000</td>\n",
              "      <td>$500,000</td>\n",
              "      <td>$150,000</td>\n",
              "      <td>30%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/3/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Women's Street Footwear</td>\n",
              "      <td>$40.00</td>\n",
              "      <td>1,000</td>\n",
              "      <td>$400,000</td>\n",
              "      <td>$140,000</td>\n",
              "      <td>35%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/4/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Women's Athletic Footwear</td>\n",
              "      <td>$45.00</td>\n",
              "      <td>850</td>\n",
              "      <td>$382,500</td>\n",
              "      <td>$133,875</td>\n",
              "      <td>35%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/5/2020</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New York</td>\n",
              "      <td>New York</td>\n",
              "      <td>Men's Apparel</td>\n",
              "      <td>$60.00</td>\n",
              "      <td>900</td>\n",
              "      <td>$540,000</td>\n",
              "      <td>$162,000</td>\n",
              "      <td>30%</td>\n",
              "      <td>In-store</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2caf289e-c2b6-4842-8503-e6e9267cc3d5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-2caf289e-c2b6-4842-8503-e6e9267cc3d5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-2caf289e-c2b6-4842-8503-e6e9267cc3d5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-7f59f5f4-6747-48ca-b99b-ff622b6b21f0\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7f59f5f4-6747-48ca-b99b-ff622b6b21f0')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const charts = await google.colab.kernel.invokeFunction(\n",
              "          'suggestCharts', [key], {});\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7f59f5f4-6747-48ca-b99b-ff622b6b21f0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ],
      "source": [
        "#Checking top rows and columns\n",
        "adidas.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 248
        },
        "id": "YWfaA8-dsrXV",
        "outputId": "0905c9ab-e534-4c77-8e3e-1bf3f96773d8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         Retailer  Retailer ID Invoice Date     Region          State  \\\n",
              "9643  Foot Locker      1185732    1/24/2021  Northeast  New Hampshire   \n",
              "9644  Foot Locker      1185732    1/24/2021  Northeast  New Hampshire   \n",
              "9645  Foot Locker      1185732    2/22/2021  Northeast  New Hampshire   \n",
              "9646  Foot Locker      1185732    2/22/2021  Northeast  New Hampshire   \n",
              "9647  Foot Locker      1185732    2/22/2021  Northeast  New Hampshire   \n",
              "\n",
              "            City                  Product Price per Unit Units Sold  \\\n",
              "9643  Manchester            Men's Apparel        $50.00          64   \n",
              "9644  Manchester          Women's Apparel        $41.00         105   \n",
              "9645  Manchester    Men's Street Footwear        $41.00         184   \n",
              "9646  Manchester  Men's Athletic Footwear        $42.00          70   \n",
              "9647  Manchester  Women's Street Footwear        $29.00          83   \n",
              "\n",
              "     Total Sales Operating Profit Operating Margin Sales Method  \n",
              "9643     $3,200             $896               28%       Outlet  \n",
              "9644     $4,305           $1,378               32%       Outlet  \n",
              "9645     $7,544           $2,791               37%       Outlet  \n",
              "9646     $2,940           $1,235               42%       Outlet  \n",
              "9647     $2,407             $650               27%       Outlet  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8d8bc64e-0781-4168-afeb-c8192c322a43\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Retailer</th>\n",
              "      <th>Retailer ID</th>\n",
              "      <th>Invoice Date</th>\n",
              "      <th>Region</th>\n",
              "      <th>State</th>\n",
              "      <th>City</th>\n",
              "      <th>Product</th>\n",
              "      <th>Price per Unit</th>\n",
              "      <th>Units Sold</th>\n",
              "      <th>Total Sales</th>\n",
              "      <th>Operating Profit</th>\n",
              "      <th>Operating Margin</th>\n",
              "      <th>Sales Method</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>9643</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/24/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Men's Apparel</td>\n",
              "      <td>$50.00</td>\n",
              "      <td>64</td>\n",
              "      <td>$3,200</td>\n",
              "      <td>$896</td>\n",
              "      <td>28%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9644</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>1/24/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Women's Apparel</td>\n",
              "      <td>$41.00</td>\n",
              "      <td>105</td>\n",
              "      <td>$4,305</td>\n",
              "      <td>$1,378</td>\n",
              "      <td>32%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9645</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>2/22/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Men's Street Footwear</td>\n",
              "      <td>$41.00</td>\n",
              "      <td>184</td>\n",
              "      <td>$7,544</td>\n",
              "      <td>$2,791</td>\n",
              "      <td>37%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9646</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>2/22/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Men's Athletic Footwear</td>\n",
              "      <td>$42.00</td>\n",
              "      <td>70</td>\n",
              "      <td>$2,940</td>\n",
              "      <td>$1,235</td>\n",
              "      <td>42%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9647</th>\n",
              "      <td>Foot Locker</td>\n",
              "      <td>1185732</td>\n",
              "      <td>2/22/2021</td>\n",
              "      <td>Northeast</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>Manchester</td>\n",
              "      <td>Women's Street Footwear</td>\n",
              "      <td>$29.00</td>\n",
              "      <td>83</td>\n",
              "      <td>$2,407</td>\n",
              "      <td>$650</td>\n",
              "      <td>27%</td>\n",
              "      <td>Outlet</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8d8bc64e-0781-4168-afeb-c8192c322a43')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8d8bc64e-0781-4168-afeb-c8192c322a43 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8d8bc64e-0781-4168-afeb-c8192c322a43');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-ccd2e3a1-a82b-4279-93f1-957b7635b17f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ccd2e3a1-a82b-4279-93f1-957b7635b17f')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const charts = await google.colab.kernel.invokeFunction(\n",
              "          'suggestCharts', [key], {});\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ccd2e3a1-a82b-4279-93f1-957b7635b17f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "#Checking bottom rows and columns\n",
        "adidas.tail()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0WSpnbDq095a"
      },
      "source": [
        "# **DATA ANALYSIS**\n",
        "\n",
        "\n",
        "![Data 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v8bDNRbIlBN3FCo21fv4iO5BS1cL4N1tAQvFcGbfmC+/MV9uoZgvG/0vVboqbP3cuzc3+h4p7RTXp6ZrnpquqXGFv2jwvXjSlVzd8obCumIlH1uO5Lgt9JPt5sHl0PZ4+3MG2ZdPuV4+6Rqoq62VOLVStPdeTOSpz438RTkt3LE8PSqhVCPGXpyrW7o1oQvJRjcCCKFChD1c2hUK+Ka5ayX5yWmaZ2ZqiXi00sxTirZckVban0fVG5FN1DLlBF8+2J07C5U9CmHUXczTk9elEGHvLjYMMfPwbydddxUruQ/t4UlqOYHxEV0+cMrZs2q7+fNlaXzahUGCrytS3FGo+H/Hnc8cdUTPG8GutsDjB+1/nq3j/9cUqUVPTFHfP0F1664OPrN0FDM9RfziHH334+/Wen++3zbo4PAM/QVCOGgJ5MjVnRmcGWMQrdSuldiHsh/F4OC08OjKzG75cdJ1xT3fSRAjwEiHRgkce3uRgV/Boln4/Hwk8MlpmudmdaogzcJeM7WpwbepwRcY+D1BK8bLrk3nVbDVR29p9G9q8PUYl+jRyHUxdxNdnC4p1gxSbj9flsaroDvEbm8NbGrwcauGsXPGGfrP+c9wmp58emanZjuD7L/PeSNH7jVRJf9uebbcGfk5EBg8NV3Td4YqALx00jX589a3qj18jBcAVCT28aWpMabgJjVvLzJ0z455t9Z71w+WuCyRDioQGk2eumHolowdhHpucASZu3uqpn9xjn6s5Z0lDiN3C+veWQYA3qv18nE5vnQ9wMCkTzt7hxI45l+b2+OEAbrLx8pWEJGxqZXj5HzG5utV7of32bjXT8/UTtP3EN2K4tocWezZ6gBwy3hF3x5Vj+QpRXxxxXFbaPbmNi4h4vIsGX88Rl444eTjrrzlG2o83Rf/0mTEM0cdzxx15ClFt45X8P73yjx5LI1yuKYzU/TiR0vVXEtihQi7NFM6up9kn56p7V4czangEGf+wzEHAByzBQftBUYiSLgveclTN5xonyvIpXe1BZ4td0ZF2jVi7JHJ6kHcSRBDZ3iF8LHJ6lsKFCSOjVOKunffqHSEHj9g49/yT0MhmuXTSn85Rd1bpLTW1eXW/HWu/okDtmYvbQnQ3jAb+WBlPZ/oYZQRfSd58twVUT646vuOKkcPfmSqFN+5PJ2z7d5i5SC+vuoIIx1BhlNBAscenKjq/aSeKbcGt7cGouTzH6cvKHU3yohnZ2rvLVH+tcLFtRR4pdL1wEQV98Qg7zMePUUvfn2+/uJUydofLBvrfBW24D9Ou/ne/H2fm+zkKUXdlwZ3tweGroIAUG4Nrtxu7n9cDCjFrlgWCLVkqggTA4AnbA8wfT363JbxmJxQAcDH7S+7wyN0d56sunie5srWUNNXprcjj0tx+UXaZXmSQjmhOurec8S5Y+jXylQ2DX2SQfPySVdUGw0AeGQSEkJhGF4hLNWSva3SHbQEV24zRz4FH7JQ3K1cRWJ7rs0oMwUm68SRW7VFsb018NysztdzDOIfrkkHgMu+Nu1qC0QWAzw+WV2sJgM0e21uTH6eUUYsz+nMqeFSQnocdsYJO9s6tSdTTizPkQ10qeyUIxRggFvPW5wu+fYqY7UztCRDOrh1zWePOZZldhXn7jVTUTsmfn2lkXNrnpii/vlk9WlnaJxSxCci7eu9fMIoI/Zfn8HZ+f5iw5sL2HpPeEJENPiQZTRvyf2HmdHLw84gu2r7cG2MPGi0Ylv/gwBWGO8rkE8BgM2mf/YtJxmyApXIAAAENsjI/0BRibSr0h8iMCIbJrYH6nnztGTqvTlPc8YAgDNsjYsQpsrNYoIK0r3eYYYVR5B5ttwRVYqjEWNopVAQBAhJWyjmd0ccC79sj0o4fL7cyQc7p+nJByeqFqdL3CG2sieHDAAOdVCv99Lfa6+J4lfaFCLs5gL5uiKFQYIfjOGWfUtEl+13avr6Rm6I+OnawgHvUEgz7HMRHXaWZUofnKgq1ZKVjhBfJh87e01U5Af1926fzEP7rPy0BAalEem4x22hf53utVOayU//9nCXq6EQYaVakv+I3qr29F2DmNTkKUV3FkZvSnfXnvisC8YXvTKZcg5naZZeY7z7GuPdBnEWf5DASALr9JDEbFeY4RrDHbwK2kPtTqo9XmbopEL2l99wxtO9zdDDk1BNoQCMhBDSLLT66OO20FvVntt3Wwo+aX7huLN7gfDu9sDK7WauCh7O58tc/o2pyt5rhsvD+2z3lFlrXGFeQdnzL27a0cGV53NYKObZcufPYthXIbJS4sOz3j5Gbm7w8dJybZ58EAvdLxx3Pn7QzrecCDDwaZ3v8q9N1MCbbhtlBO+lWShmY120I7vXRM3Z3LapwRextAo0C69Xua/+1tR3KeFLJ13XbTNHdjAAAGeQffyg/YF9MTkiSUp3d3B3e/9V8IJglCeTEE6QT5+juWKO5got2eUSOUId2ywf2kPtla6yY559/PEC5TTuxb/bXnqp7tFv7Z/Gywy1oEIIAM+WRwdCp+nJsZB9lmhg+Pp6oW2IhtuHocYZ6rfQm4fbYoJbIIw8rhBhBWrSFey1eXyCUKwhJQTWbz1fHzw9U8svZf21wvWrQ70uF3GfSbqMaPCEB7r7hFFG5CpFChFW5w4n+Ec6dLRi/Nya7KhkUS72LpRJfbB64jslKaf6HbY2+7cxhkafKHiN88P+t+4hRyjOoeDbMh4rVs0BgPdanq/1nuhjpEqkfaLgHwDgZ1z/U3tffM3YWbd8b8vi+M45IHr8jj1+0N69mz9iWEnERw+Tnx5omTbNsD3el71hdijqMmJErecNgsg8oPV9rjFwn0nFoK4yiP81ycvKcdH7BuxuDySmCgKAXjbU5J0MybhMaYGMUDb6qxv91b0NU4m0ebIJWaJsLxZsp+qjZGyy6mIACDC+Wu+JXFlJrqzET3sa/NWWYAt/lRRxulacyr0dLy6W4nJuPAAUKqZKcTkA1HpPBBjfZNXFKkwRNbk12E7iErVIBwCusD3SVG5yAGinmvgr9oFeIbAb7QgyXzT6osLvdxYqkRCOMIkohIiBsiKvq1xke2tg6LKKgJ5Wa16uTNw9p2SiwQdspbj8BuN/cS4aR6WrTIT30PVmnvqyZcY7RVhXgkmzr+o/5rc41VGJtKszHgUAd9hS5T06R3MFN4Zm6a/M6zkHdKZ2KX8cAOan3ggA9lD7S3WPAsC1aXfryHQA+EfDr9uoem62zl8QV3NvDzq/a/Cd4l5HuYk3ZT7Knb6+6elBfxojzKaGaCGcpie1FzafQgw3qH5zNPBARMXFP0+jlLM4QOBYVO2gM8gm5uogh4QYfMrSHZm/iFRBAChVL5Th0c8BC/XXX5X+U04F/Uyny5Itn3h71i+iRqpEhki1IzDimrR7tGTqoC2M4qR7vz3UDgAyXD1Ls5Q7WKiYyqmgmarrw6ONRC0Rvlahxy8Vaj06wiCPMOmJLMxv9dGbGhP3Zp1EzOx2J9rQZwqx4Ax6M95ZmqXZ8okAQLP0Act/qgIVqeKsy1NvjhJCgzhracpNABBmqXean2/0V0tx+U2ZPy+QT9GR6Qv115fZNkeOP+erOOL8XkumXZpygwiTEBgxUTZ1X+j7A/Zvqz2HrzTckibJB4Btlg/bqfog07OKr296Wi3S8c7fhy1/AwBX2AYAe2ybrzfeBwAXay/v9DVVl3Bn7Xdsi/F3lxAJEeje3R7gN3jhWJwhTdgg/KgEeYRJT6Q7+NYZz4CSXxC9wdeS8mxO4CcMAh/8wu1k1TzuxQ7rJ9/aP230Vx9x7nin6fmoYROUs7jahkb/GbVIN1l1caFi6llf51pznqQwavxX5g0n3fvLbJur3Ye4I3pZHgBYgi213hMeuvOpgltl7M2Ba/RXNwc6t1cM0D5u8ZLL3Dni3MF5pWmS/FxZiRSXl6hmA0CYpSrdse5FReIJsYgQuU0bR1QTWsRwgzzCpOdHM3VPWWcW+NdjoP/1yHBLwQXLNs4gm8hP6DJRX3U+fZMhzeNenHR3VSy0UfXusIWv3oMIqSuQT+HyTiNJlV7QB9HPuPhclSZfVal64aDN64My25eXG24FgEXaa855j3Mx26Ou3X13zIkkQYSw+9ZduRdWUHClWWjVcPhAQpj0JPLCVfIS2REXAH5oT1wVHCIB2sdFQWW4wgFdZRIkdkGrPwfTuZxmpuo6qOiETC8rwJfwsGP7It0NUkJSrJqTISvgDh51DKDpTIgZoaY5fePspnDT9OS6YmWeUrQ4XTJOSXKd2CZ+1ory4IYJJIQIRDTdN1s+lthFOP5wdPub2OkINHI5Jkv1qz5oe5E7uFB/vZS4oPdYe6AeNAAAjmDHxvbXuINSXF6omHoy5lAkT5juDF1oIpzOgRJgfEdtW7i8U855NVN1bdQACqMTRAh7dPWiuq/BYJv7I2Ih/kL4p9m6J6ZE55vRLDR76RpXaFdb4JVKV+yV8gjEyJOliP672J3AcVEAoBkiRJODy5fZ4/iKSxktVs15UPxCfaDGQGZ0D35WuvdfmrJKJTIUq+bcBo8d9/yoJdMu0izVkenTlAc/M/0j9oAkAFgCjdxFrzCsHS+bdNZ/anDtQ3c7t84xXMeXc8SeJsNB0QPb5iVeaMX4umLlFJ04X0VEpcn0AXIHh48R8ggJDPKURJ6SWJYpfWCi6v691rGwmysiSZlliE5VqHMnehsdipYMTggb/dUHnd9x1Q5pknwumRMAwiwVWS8YYHwb215dm/0bESYpVs2JLLeIWiCMhQOe3ZyASQlJqXqhRpQyOCEMML6jrt2c8QF6AGkyHMGwMB23u2/M2y8NHvqjPjs+IoaCAFmjmXLiwyWpg97MFoEYbiQXbizV4KETv59ceAhRvq9Mb3/T/i+uMg8A3GHLv9tesgVbo4Y1+qtfrX/ijPtgmO3McqRZutJVtr7pDwNyBwHAEep4p/n5Zl8VzQ61UZEC69yJ84RnAGkyHAE6Ojd4ZBhEX+LuXUkRcST+vUYjQ6PHbaFGTxgAZCJskpbku58AwEFLcN7mtvheGoGIC3lK0bGVmXx/taTo/XjblH/ma84OcRKVSAsAsew+yO0a0e+mhjFedND7HUpx+S/G/53zXF+tfzyWtmqRHGhdsO3c9YO79FBYV6zsvgTYBw0eumBj8/DZgxje0Ogrp1yRe2s9MFH16jw993qOQZynFCX+gzZiDNLgCed83LQ4Q7o4XVrlDCXF/nAuKnqjjEEQuyANVHLictHuXKRdxqlgs69qECaZfMZBX3oocN+o2LXwndok+AYmNSOaNfpGlfuOIuWc8wswxRqyNyEkcEwlwnpMpirWkBox7gwyseycQODYeJVII8bN/v6jW1oxXqQhQwxbYQ/1PbNWjJfqSG+YrXeHeyvu4S6dKsWbvUkQWENE4Q2zW5v8SbSSbfMKc08XlovO91fb5/x2EKfbPIJ9aLFroTPIvpzwAYlkZ6TLJ1wRskHiAAALjJLvru7cWv3PJ5xfNPj+NFt3aYbUF2a17zXygxUi7KkZ2nXFSn6XeXeI/eSc91eH7D1KkUKE/XGWbl2Rkg9wOYPsv6rdL550dd8/oVhDvjpPf2mGlFsbolk4aQ/97oi9+31wcbr0f+boeC2nWdjS6HvsgD1S6hQi7Impmscnq/ks/AYP/dcK5xu9bCOMQAwdc0AvtAkjDd9c1M+4BlHCAQCOoJAfWoxa+PIpFyqlH25GNFmmWEPOS+tK02ry0gAgwjApDty/SRryh2vSl2VKL0xWgAVGScWqrCemqHkVBAAVid1boqxenbUiTx51ocXp0opVWY+UqiK30dGIsSemqA+vyJhyYfuiRyerj/0kM/KiBAbT9OSWy9PeXHDBd/TyLNm2q41zIlIKCQxW5smP/ySTn5PAsS1XpD01XRNZi5anJF6dp1+/aPAlUwhE37gCA1hzGh3MVS/jXhyzfjeI00M06QkKvB38hjOeWV+08Vtzdwe5gyPD8HqEi4ydJTJyApugJe8sVPLy0Oqju+8UeGN+tKQBgNcyzQ4AACAASURBVFFGfL4sLVICIzFI8A8vTb14cxs/m1FG/GdZWtROcjyZcuKLZWlFn7Zwwc8VefK/zdHxP2310dwY7u29Jcp9HRS/RPT2opRIlzFLQXBWkQQ2yyDmDLijUMEXBlkopsVLT9aR3FmTdGh3FcRwYfEbB11KmKR8ZvoH2fE2DHaVsdkz4KqP4aDcGlz6dfuOq9N7vGUhd3BkGF4hXFekWFfUc8+L+/daezvLHWKPWoNtvs4A5ruLDbwKtvroF447j9uCRRryqelarhZHisM7lxhmb27jtO3dxQb+K8XFJE85QpO05JPTNJzC5SmJNfnyj856jTLin+fjEs4gu+p7M9dPcoFRwkvvn2br/n3O6w2zeUoRL5BPH3W8cNwJAI9OVi8ySiJDo7wKOoNs5kfNNMMaZcS/L0t9+4wnKXIuEEkKzRDNntyhJ44mEQHGN5Sc1QZXThyNGQq9aSFyB0cMYVqsPVvu7C0N4dM63917LHzrmekpYn6PIQvFXPRFG7fCt9dEbar3VazK5MRpmp5cmiHd1uKPGj9vS+f4XW2BQ5bgtquMn9X7Xj3l4rrc3jJewUvsYwdtfFflvSbqmaMOLsHVIMEn6cSHOqjIfoCr8xWHLcEdbYGXTrpeOnmB/Xaqc5hGjP1uumbDGU+DJ3zJl+1D/cgQiP5ocOWMKSEcIvXWiUKb0EWPWojcwRFjRNcIaRa2twYu3tLeW8c8C8VEqiAALMno6j/0RpU7Ms/FEWQi00/mGyUAMD9iDXLDGU/k+EMdVMoHTffssfC93pdENDd6aa7ednsu/+9/ZnfFS2cbxNzl+N1SpunJb65Ms9+es2lZWtR+PZGb9Tw1XXNuTdbpG7P+NFtnlA2skQQCMVAS6s6e4IRoss2XKB4hB6eF/HohcgdHkuH1CF+udG9v9QNAiIEGT7jfgoftLYGoNqSaiBYM3YsQzji7jqRIcABIjdCbqm6t+aKurpdekHrTm1X8nLfs7Nh2tbFU29nCQyHCrsuVXZcr294aWP6dmZt8V1vg8YP2P8/W8ak3RWrRE1PU909Q3bqrI4nS8RFJR7Mn1xNUKsUoAt8/zZ5cmkm4Z9Nya3Dx1vY/ztRaKeZPJ5zIHRwxhlcIT9iDA7r1N3ujpS4yIJmnjLa2WNN1xEoxUeMnduviRuBYpBbaAl2DN9R4u2+GwvGjqdMRNPnpGZva7ihU3FmoWGjsyjJdlin9y2zdYwds3NuXTrq2Nvkfn6xeniPjlxVVJPbxpalTPm9FNYWIYQNvceeWpJwS2owkoN5WIrQJPVNhC67cbhbaijFHom/DdKija+/mByaq/hERHdWK8cjN2bn9ASLHrytWvnC866mqWEPuvy7ji0bfG1VubtiBDuq63M7A5hELFRloVYiwIg3ZfcNMgwT/9znvhjMerRi/Okf259k6TupW5sl5IeTgsoGm6MWPlqq5jCGFCLs0U4pSZuIISTmC0AphMxtqhrAZGA8wXmA8wAYJoGiGInAJDRLAxIArAQBERhClYWQ2Ji4AMiGSBuNLuXkmEsJYKDdfJLQJiAQi0YVwr4k6bgtN05MAYJDgh1dkRGaN8v7WcVtoj4nqPv7oysxnyx01zhA3XiPG7ixU3Fmo4LpHfnjW+6upGi4o+pe5eh/NvlfrpRl2dqrklXn6WSni/z3pevaYg4vWEjj2yynqJ6dpDluoW3ZaTH76o7Pem/IVmbkyAFCcj6xO0Ytfn6+/OFWy9gfLxjpfhS34j9NuPnVWTvQagEXECBtuB+o06z8KVBXF9LqIwj0u0QwFQAEA0BYAgFA9ALAAnWEB2VxMOgHExZi4QJAG9HHnnH0Sio72S51zvDc0+B0cEaOPRBdCALh5Z8exn2Ryy3mZcoLvVsoTYODmnR18zPPuPZaD12dwipOnJLo3brBQDOeWNXjCP/vR+v5iAwBIcVi/MOWfC1J8YZZfL3xiijpNRtz1gwUA/jJb90ipCgAWp0tbb8mucYV1EpxPOt1nogDAKCP2X5/Bmfr+YsObC9h6T3hCRIT2kCWh93dNWCLFD3oXvwHjP8D6DwAAjkto2UJMsRCTTEhqRaQZotIybW7mXqENSWgqOqYJbQIisUiCv/kzztCtOzssVM8LeBaKuXVnR+SWleXW4H17re5Qz1k5Foq59jszHy/96Kz32XInfX4sgV2QNdPgoX99yM69/tMJZ42ra3mvSC2KbPb2y0N2ADD56d8etvNjFCKsVEvyTuBb1Z7IyC0iFthwO+N4nzX/kbX9HfwH4qmCEdAMBd7vWfMzTMv9jO2fLJXE0cUq81ShTUhoQjR5umO60FYgEgsCW/FofGe8PEvGVTIAwOZGf/dltijGKUVri5Tc6x/N1PbWHrYCr3aG3qv1pkiJCTox37kswMD7td7rvjMf79ahptwa/OicN08pKtKQeMT4DWc8d+62nHJckE26uy2wqdFfqCYzFSJ+cneIfa/Wu3pHh/W8AHvD7Pu1XiWJl2jEkS3gtrcGbtllqTo/534zddgSzFOJciN2OXcG2d8ecTx9zMn20yQc0QUbrGWtr4HjXQieAXaoe/3EfFUKQnXg3c1SVYArMTIdIMmi2a6gtlBfpRKjxrY9c7h9Xo2tVGgr4oaYoGSkTye16iTWFKkpVdmWIjdz/1jAA2EUAY6J+O9HOKwoRNgknZhrVHbKHoyqtehjfIMn3OIN9zu+WENmygkrxZxy9LoBBbetRKac8IbZGmeotxRno4zIVYoUIqzOHUaZogOCDdayjg+BqhTaEADCgCmXkrIrw6RSaFMGQFFKxU0T3xfaikQkRJOvH/ml4C1GB02+ulqvbkpVtKYpmzQSa3YM/RPMnqwOX5bDn2rz5pg82TXWKSNgZ9KRZEKIGN2w1CnW+WlCSGAkhAHTrMalC1hi8LvAjyzM3dNfy1TGbcvAUYNQO/EOhXx1dX7qiUJDea62msSH2ks2xJBnLDPKW5ad7pgepCX9nzA2QEKISBAY1vMN7vyYZhJ1GZUwYJrVmOKSpFhZR05hj7x08LdJ4g4yRSmVM7K+n5pRNnTx65EQQzY6Sk61L6w0X2T3pw7HJZIIJISIBCDUyFhf52obEh3FZYTmrqRwDe+e/gpyCiM5bp615cwaoa3oB52sY27u19Mzd+uklpG5YoghT7QtPNZy2Tn7pATstjMyICFECAvDuv7DOjcKbcZAIAxYyoOYZJLQdvSDUdH60xkvC21FouAJKv917LFELh/UyTouL/pg+FzAfrEHDAcbrzrQuDyRP6VhAgkhQjDYcDtr+d/kcAS7genWYsrlQlvRD9cVb5yWdkRoKxKCzbWrTrTPFdqKnuEkcFbWTqENAQAIMeTBpiv21P1kTMVL418+gUDEAMN6vsat/8vSvW5LmegEjrOhJlxyEeCJG01qcY2bknZETIz1Ng51zvHbz60Q2ooeEBPU5cUf3jztxVjyP0cGAmNytTVzc78GwBqdE1g2CVbEhw4SQoQAMI4PwLmRZen+hyYy4RbW9wPIZmF4ghZXhBixj5aW6KuENkRgPqy8JwEr6opSKu6c+dxk4wECS7hdJgiMKUw5MSW9zOLNtfmNQpsz7CAhRIwwDGP7F3i+EdqMOMH6wH8Yk04BQiO0KT1j8mQbFa0GeYfQhgjGzrrlZ2yJtaCrIL0/mfzGtRPfViR23wOF2D0za4debqqxzKDZJOjHOWiQECJGEoaxvAS+PUKbEVdYH+77gZVOwYjoLrgJQq19YmlquVTUQ8+mUU+1ddI3CRYULUqpWDf76QJ90rTxy1TXTzb+2GQrdQW1QtsyXCAhRIwQGB1ibK+A/4DQhsQflqUJ/15WUoKJEjG/gGZFra7s0tTjBJ5wIbhhxRHQfVj508RxZcQEdc3Et1eWvikTjVTLwDihELtn5nwPgNXZJyZd08FYQEKIGCEY10fg3SG0FcMFy9KEfz/IZiVmjNQV1LrDirG2WPhexf0uSie0FZ3kq6vXzX5mYtIm8XKrhnq5+XTH7NGXQYOEEDESsJ6tkFzFggOHZWnWfyxhc2dMnmyJyJ+tahLakBFic+2qc/aJQlvRSbayfu2cZ3SyEaqRHz4y1fXj9JXVHbNHWXs2JISIYYf17mLtbwltxYjA+sB/WCxewIikQpvSA+fsRUZF21hInNlZt/xw2wKhregkX129ds4zSvGw7CA28uhl5qmZe2o6ZntDKqFtiRujzcNFJBpssJa1/V1oK0YQ2kI5XwFIzNU4/PPq2+uc44U2Y3g50Lpgb8tioa3opCil4p55vx01Ksihk1rumvN7nWz0PFEhjxAxjIhCHtryx5HbTTBBoDtYNohJE3GDXJbFq62T83VnRuuGhcfNs76uXSW0FZ3kq6vvmvuUUC3ThhWZyFea/uOo8QuRR4gYRoLOfwKd9Osig8G9hfUnaFpEkJa8X3F/qydLaEPiz4HWBVvO3Ci0FZ1kK+tvn/3cqFRBDp3Uct/FvzIqWoU2JA7Es9foAxNVi9MTcWlkrPHwfpvJL3zTFtazlbW/I7QVgkHgEsb4Z0yULrQhPSMmqNWT3slPmM5eQ2dX05KyhquFtqITrcT+X/OfGLEdJATEHjD848e/OhImO3dwxFMIZ6dKchWJUrIzlvmm2ecNs8LaQFIOyny/sDYIj2wubnhMaCN6hcDpVSXvl6QkTWV3H+ysW54464Jignpo/s/TxsweWGZP1psH/idJNnrsGbT7BGJYYCwvjsra+YGCGX6JyWYJbUUfMAuy9izM3UYSyRrB8wSVX5xeU+cqEdqQLu6c9f9K0w4KbcWI0uwc/+aBF5K3pgIlyyDiD+s/Aq5RXjUYK1Q1KV3MEGKh7egNrMk9rtY+IUPVnIzpM9XWSZ+cusfszxDakC4W5n29cNwXQlsx0qildgxjaq3ThDZkkCAhRMQZjA4xlhfGXKZob7A+GmMTM4OUxxtSHWufy2DhcZqkiQ+FaPKrcyt31l8TYhLoISNfXb1mxl8TcDeJESBfV9Vgn5ykW1UgIUTEGcb1EQTKhbYigSDCDaTk0sQssY+k0VlUbS3N1dQpSK/QtvRDtXXSh5X3NiVYQaSC9N598e8UpEdoQwSjOPXwkeYrE+rRJEaQECLiiSjkAccrSb/RYFxhWZrGsQR3Cjm8IVW5aW44LMlW1ydmh25PUPmfM2v2NF6RgMtRV0/YUGw4LrQVQiImKKXEVmm6WGhDBgwSQkQ8ob1bmMAJoa1IOIhwAyufl5g9SKNgWbzJPe6UdYpG4ki0ZmwHWhd8WrW2w5sptCE9kK+uXjXlDaGtEJ5Mdf1Z80wHZRDakIGBhBARN0QhD9hfRO5gd1iWBjaU2OmjFxAIK05ZpldbS5Vit+ByGKLJw+3zPq2687RlauLsqRTFHbOeV0vtQluREKRrzh1pWZZcO1QgIUTEDeQO9gFBt4pklydw+mgPeEMqYeWQk8DPTt952jolAWOhPLOyt8/L/UZoKxIFtdTuC+oanUVCGzIAEvTxCpGEMKxn1G43OHRohmL832LkDUIbMmBM3sx/V61VkN7xKScvSj+QOSJ14tXWSeXmmefsk2iGGIHLDQUxQV1e9JHQViQWlxZ+eLB5aSI/u0SBhBARH1jq9BhtKxozrGcHpv5Jkjb49YYUJ9rnnmifq5N1lKYdzlM3xb09W4gmmz259baScvNF3pAivpMPH3Oyd4yFVmoDQil2zcnekTgd7/oFCSEiPrDeMqFNSHhoC+s/lkQrhT1i96eWNVxdBiAmqCxFfZbuXJ66KVVmUooHUzbgCOhM3oxW17gGZ16zZ1zcrR1uxAS1sOBToa1IRC4t/PBY6yXJ8kCDhBARFxjCX4aSZPqF9R9JdiHkCdKSOldJnauEewISE5ROalVLrWlSm1zilIoCACAl/GIRBQDBsCRAywJhKQD4KI05oHcFUkwJmf85IJA72BtKsWtu7tYdZ1cLbUhMICFExAHWf4xhKKGtSAb8hwDuTdLoaN8EaYnJm2nyZtYIbcmIQeD03NwtQluRuMzJ/WbH2RuS4tueBCYiEp+E3Xsv4WBcbPCc0EYg4kOB7tTY2WJiEOiklqKUSqGtiIl4eoRqyzlRKLrDpMswLkx21hEbFa2T5ccypQ0S3G6iJmxpT74MOkTPBMZ0Q40Bwfr2Y+JCoa1AxIEZWd8LbUKiM2/c5hrrFKGt6J94CqGharu44YImkxgp8V31q7BGrpU4b0x/Y4rmuAI3AYDfy+zv8AP0LYR8hyfktiY0bLgd5YsOAOQRjgrEBDU1AyWI9UOx4ZhO1mH3pwptSD/EUwgxj1XmNkceoSVKccinUbQ/mPPbXFmVGPMCgMPCeF1kv7OpLfWpJ760T1xqy5gUmxZywhk31VSKXZfqtwHAHvvSZN9/eXihTgttQTJBhGqBDrFE/38CiERmSsYeEk/WTRxHDBIPlaYdTvw6ipFwtu7N+kuh/DCvgi4XCQBWup9nBFHIJ+6oEwe9GN1/NqIo5Ck8+eX4Ha9Jne1xsRkAtGLbVHXZVHWZknTGa85RCUud6fF4rsZYkpJbkpKrl6lG2KREhmYohm4Q2grEUJmVtVNoE5KDAsNRoU3on2HPGi0qaMiSdXoMvAr6GP1JcgX0kGbIRGlzKBTqNgC66zfGhMN+r8jV0eMkvU3e+0gAgGbPuDfO/ZolxA5K08v4vk4fQ4R7fvhYv/J3y8bNBoCfbnn+raObR9amxCZ4BtAyYXLDGJWNQtuQHORpTxM4neAdgoZdCFOpE7TPA6ouFQSAs+H5zb6o4llGFPLJnWa5tyMoVrj12d1mYjCalnisWkcDAPgUqT5NWpiUA+CikCelvZpwd5CUR9FRCwCUMoUlSIwOEQzFzQkADm0ed5ybTkF6ixV1df6sMEtMUlSrRGZbKK/Gl+sJKjl5ExOUQuoH8PvC8iAtUYpdRfLGOn+WLywvVdXoyYaAWFlpmeqgNBFyyIiJUJqsLU/TAACt7nSzP9sbko1yvQw1xXe+XI3xiUW3A8BZS/PL+z+J7+TDzfLC+VdNmAcA35zet7X2xx7HsMFmbGStQsSXfHWNUuwS2orkQCl2FehOJXjKzLALYQrRAXCBClYEr90afChyDEaHVPam1BNfKuqPBsVyANCl5NCGcWyoy2ckKVfOwY3ihnKMlLAhKi3o8+lzzAvvchnGyZ1m3f6PpbYmAMj64S1P0fymOWtChFpnrtaVbxG7zADAneIpmt948a1hUgnAFCvqHhz34FfmeyYpj3E+qxjztQYKvjQ9cMQ5k2aIFLHv5vT1jpD0s5Z7g2CcpKhel/vUto5bCuStufKjAKDATUGD/C91L9W5SgAAgDEq2q/Qb7pIt6vTZoP7nPeiL+xraqylo1ULRSFPkInzHSFFpnlo1moAKGs9kXRCWGTI4Yz3+H29CWFvPjQiWchPRc3lB8B4w7GxJIQSBS25YMe1oFhupVM7TCSAkTtyNjx/a/AhB6UHoiuuKPFYDVXbxR11LZfc68ybDgCahnLdyW8jU2+yG49gHmvrVU+4dTkAoK87kLr/w9RDn7iu/pVbl1N31a8yT2zGrU3mhXdxnqIo5FM3V9CGcXXz7wpo0kjKlXXia93hzzQZk6yFC7k55bhtieHLzW1rjzQ8FWaJuZo912e8c63xjQ761+e1LZolhi+3m29a33S/LyyfovjxofFP3pD2/l9dfwQArcTJqeDmtrV7bMtoVjRVXfWT9L+t0G38mLonGdtHxUKIRff0gRM2CW0BYkgUGsr7H4Q4T662WmgT+iGeQugdPxdLi77dH6wvcBNq7vVZ/yQAkEC9Eeqt6SUhiRYAABhFR62ktcpSeqW1cD6njpxWiTxWfp76gkug4BKCoURhL4uLnHnTVfYmafUeknKFJGpaKmWkKhwgSMq5eGmYVDbMvJFgKIwJi0I+Fhc1T79OWr1H03aKF0Ifo9/ctvb7jqu5i+6xLQOAGzJfm648UOfqeQ8RTuS4rupHXItrvPPUombutyiW116k27XLcu33Hddwg485JuPMnSsy3y2RVbb5chI8Sj5IQs2xj52RXlyUkgMAh1pPOQOeVRMvTZVrj7fXfnvuCM1QAEDgkhsmLhyvy+LGZykMa0ovA4D9zScbnV3iUZKSuyhveoEu65y95Ujr6WPtXdk6uRrjxdmTAaDF3bG38cSC3KkXZU587/hWJxW8YeJCAPBQ/q21P85IL75k3AwA+KH+WOTpALC8cL5SIgOA7ecOAsDVhfPtfnekb8fNaVToK83n9jSW84Zxl+auDgAlGeM44z+rKqOj2u7QFrTAnNQk/p09ocjVVif4Fz6eQqg4tUNVf0GHEVqiDE+50l2xm6A8AJABX/HH4bKftefNBQBRyKeyN4UkSiq9OPKTYhVajOzaxYNgKENrpdJtAgBaonAqjSKZAgCIQCAkUbN491+EkXisGeZKgvICgEdl9ClSIyfkcFBy/qJBWtLI5Fqo9BSySUz0nBjtoOSRW4MGGKMEdwCAgvQbJY0k5naFUvLVXX8kBKEEgExpg0zk9QTVfX+ASQlt7X/MeR6YfcO9M1cAwKtH/n3H5Ku15+MHh0xVKz/4RavbYlSoPrnx//Hj8zWZ3NubPv0tpzd6meoPl93HxR553jr6xa+2v2bzuwFgUe7091c9AwAfV2777zmrby69HAB+qD9m8tq4qUw+25bTezgzOMpaT9z08W9a3Z2lkK9d+0S+JhMAbv/86deu+YVWovz87G5OCPN1Gf+8/jdcBhBHgKae3bX+hbJ3AeDi7MmRxq8av3jV+MUAkPXita3u6MQwknKdfxBEJBlaiR0VTgwIEg9lKxsTOSomfK9RjAlzL4KkvPdRTE79AenRL6nMiW5dLlAhbfuPbCjQx7RSp5kLloazJnllOoX5nBTOkV573w0xwyExxWgBQEwMuHOmljTJcfvFuu0zmP2RxylG66GVIgy1pO4iSslmGyf+evHah7/8W78nfrLmeV6HHJSHk9J7Z64g5ZJ1n/whcuTKCZdIiR62QzPK9ZEqCAALM6duW/fa1NfXRvltb634TeQMeplq373rjXI9ANAs7Q76tRKllJA8f9kDHT7HQNNiQ7gLAAlhUpKqHEAUpEe0RI5OlCvGFR7a7Ag3e5lB9qO4RvuCVpQNAF/Zf+OgmxS4YaX+fwGACgY/dd0zRCPji15pQkLYF7wzJw75elM2UcjHqeC5RZ0Nix2UI+fgxj6m1ToacGuTffKVtvy5LEF2ACN1mqXVe3oa2+Wza/GQBHcAGIK0BIjodnF9EGJEjpDRx+j225dV+0ujfuqlFRE1GKMKlvEP4izOkTreXvvzBbdwwnbH5Ksf/vJvJq/7mg8eKzLkvHTlzwHglK3+F1+/AgDlpjMAcO/M67nBp2z1V7/7SKPTVJKS+/UdL+VrMtdOuOpfuZ/vbexKYeA0bHv9oSprvclri7y6yWf73ff/qLLUX1O04OfzbpYSkkn6cf89Z2VUYo6UkNQ5W39oO1FWcxQAXr/ml5wKfly57fbPn6MZannh/M23/oXAiL9c8fD/lX9b1nj8mg8eWzPrirUTruKGvVf+NQCYvO4ePjc2iBJHkxTjEIQwlSy+QvP7DPKCzJFaatchz4aW4IDXHTPEk7VEDgCQuAxoAABuZj/hggTLaTUoGgHmCm1FrwgvhDQucety0s4dlLSfwXQ5XHkDRoc0HhOfNYoxYTZEuXW5/FlhkQLXpUPvdcmyoAcAWIWWJbiVOTyk6yE0mqtsKvewNAMAoCC92dJqjdhrckwI0gNr/BGkSROVG2JVmdKG/Y4l3pCMO64g/QAwmisomAE8LvBsOv0DF048a28+/d8bAUArUeplKpvfvbX2xwXBqdwwW8AVuTh305TLuRff1x3iV+MONFdykcyLMidGCiEA3PTpbzdWdnaDzFQZ+OM3fPJrbuTexhMmr40T3RunXBYlhIdMVVe98zAXcSVwycoJl3Re/dwhbrkRAE5a66YZCrUS5dS0vGPtZ1rdlmnphTABAKDO3tpr1igAsMGBfGCIBEKvGEy9kAiTLFI9PF1+M4FF5woUSpYUSpbscb9ywPN2PAwcFhS4YY7yLgDwMdZB2GlQJHR3cuGFkCXIkDYzqE7T1O5lpMqQNhMA5N4OrP2sOOgjSRIAwiJFWJmibjpGpRf7NGkYE1bZmhl7dL4iX0cYliudSqMeQN1c4ZMbwnIld0pkPQYAiDBqkvKYKyXlHFUIAAWS2qnqMnMg66Rv8sB1C69x5x62LylSHFqaYjzpm+yjVXLCPVl+0kdLj7jmj9ombcxgtmPd33ySe1FtbeQjnP1yUcZE7sVDs1ZHBVcBYHJqQeTbU7Z6XgUjMflskXr5n6pdnBBOTimIGvnXPe9zKggAU9Py+DDpv677TfdpJ6XmRyXd9MOgPGlEIqCVdQzirEWqh2cpbuPfOugmS/isQTSec+m4AQHGddyXoNv8ygk9Z39bqGIQQji4D23EEF4IAcCtyxFNv05XtUN38ltWncqSUkaqYqQqn77zK8ISpGfGtYpTO1JPfEmrUkUyBS1RAEBYmUJLpQA4jUsCaQWillO6k9+qspraiy91GcYRhQvUTccyA5txXToA0BIFRkoYaVe7rzArafQX5cvLp2sqMPCqRc2ucPZO81IuZdTPgCMkpZhOAQuxMguVHmW5mVJL8c6VHns49TvbSgCYqi4rUZY7QlINSQBAuTOhC2gEwRvskgGK7tU3klzYkNMecHGS+WXdjx6fN2rwgZYLNnw5be85XKCRXLBldopMw08eNbLG2vXgzwdXAzS16fQP3aetd7b18ksgRhsayQASxDiyxNOny2/mXreFKrglPf5HV2v/yMnhQtXDlf4tYXYUbu2pEtuFNqEv4imErpwZcOFdhiWlgbQCvGg+dmFiC0tKfYquXqMsQdrTSnxyg6KjFg94OL8wSMq1aQUObR4X22zPm61WpJKOVjzgIVQ6hzYPKq7UfQAAIABJREFU0koVHbVhkYKbwZpeEpyrIKzNdEo2LZWGSaW9ZCGdko15HQDAKrRufXaKWBl5Xb+XOeWcaGLyjXidVuJzUHITk9/syeXcQV9YvttzfTgk9rJaAKjzZ33Reuc53ySa4Rd38DLnZXrnRP6tyZu+JXxLsbxWJTIDgIOS2yDT7M/2hi74WEYVeEzO3IDwBTu/LbkqY+RxPgq6/cwBPow5I70YALp7Y8FAz/oqJSRPLryTC8wCwC8X3sG9OGaJ3lDWF/GlbXVbTD6bUa6XEpI/l73HX2554fxy0xk+4xQAfOHOu1i+Lum3X0fEi8uUT3MRUTNV94n93kipawmWf2S566dpX/lpd7n/w6gTU8niTHKqFFc76GZTsIqXz4GiwA3ZkpmZ5DQfYzWHquuovT2OSSNL0sgSAIgcI8Ik46WLtURnty8Zri2RXQEAzdTR2NN8SFFCq3s8hdBRdLE7Z3rUwbBcKdLmdR8cll9wA2UJMqBJD2gucLnaL3iLuwwFYLggfhU5PiTR2jK0kDG56xKk0hbxFgC4go0omj25zdBDOlOQlkR2Q3BQuiPUpVFj6lwldRBZeo87KN1BajaMHfA+cn0HyQlzA83SBEYY5fqD//V/22sOvlP+VbW18bWD/149aSmBEX+74uHxhuyyuvLp6cU/m32DSiz78973f/P932Oc//nLHlg6fnaVtf6SvBnTDJ09P1/84YO+z3p538fPX/YAAHx9x0sv7/u40WlaMm7mvTNXOCjP/Vte4MOwNZbOW9XqSUuVdyoqWmp+v/Pt6DpCACBGZ/LUWEBM9JWv3h0tkZMmyedef+95prvD52UsH1jvsIcbIn+kwA2Xa39XKFkSOfKI94M97lcG6jJOk994qfoXIqwrQyLKK+XGLFQ9LMO7SrzcYcuXzidaguUSTHWd9s+Rvw73dovjl9X+72K0gcQTelE8nkIYkmhDPeSrQ1gTf6chrozSNJYRAcNlbLznpBnqjaOfc6uAs40TZxsnljUcr7Y27m088fsdbz5/2QMERkQtE8bufnESu2zc7MhywBfK3olKtOnOC2Xvzi+Yfm3+fKNczykih1aizIjIxPn23JHjltpphkICI67Nn39t/vzf7+xhQQXDxDEajEg05OIe0oD7wCjuDBrRLG0KVfU4piN0QUhDhEluT/lYJTJEDZuluC1TPPUDyx2xX32u8u5Fqoe5137GxUldBjnlxpQ3NnTcyGlq5BgelciwWv/mho4bQ2wc1rMlooReFB+zGoC3hvS7TXfYAMWvEpGfb33thbJ3HFR0Js4LZe8u/L/7DpmqaLazLtNBeV4oe+f2z5+LcWaL33nTp781+TrX/E7Z6n+65fkYvcnr3n3sp1uer3O28kfqnK23f/50ZLopzVDL333048ptAZoCAN7OKFgkhEnLQO/pUqzTzXIzrTE6c1dq/sCpoDts2eZ87iPrOt4RzCCnzFXeHeOlU8ni+coHASDMUh9Z171uuuTvpmX13iMAoCVyuOQXLZEzT3k/N77K//Vntge3OZ/jnEURJimRXU6x7s9sD+5xv8KNcdBNn9ke/Mz2YDM1gP2VErwFAYavrxfaBkQSw3p3sbZYY5KDgNvLkM/e5CFwydS0PF8oUGs39RB47EamytDy2JcAYPLZ0v+ynDsSCFPdZ47RqjxNhoNy19n7ypHJVBlMXneP5uE5H43hx9Dk5veX3TGgrSdKZFfwocWX2ufGooWPph/gIpkfWdfx9YW839YWquCcwnvTtnBZNu9Y1nSEzihww8+M2wHAz7heN10SeUq990hFqPNxTUtkcwdrqV2bbI9GjuHL8LVEzgzFzce8H0cm9dySsiHy6gPlV19/MYizRoaEyBpFJDFk9w2z4klvQkUz1MDKFboRmeEyUGx+dywK2uslCANSwbGDKdgVDh0vXdzjuto0+Y2toRNcgDSVLOZU0M+4Iqvsq/3bOMVKFRXHeOkMcWdJ7jjFrHEwK+qnBtF4ADCIOvsq14S/5n/koJt2uv4S41ViIcQMrDJ7hEFCiBgSJJae0IvgiYnI2P8YRKLiC6oG5BE66Ka2UAXX82WJ8pfdky2zxNOXqp8kMKKW2rXN8ZyP7ozbk5hEhEl4D5LEO9t0+OlYwxih8+WqbaEKRzi6IY6PsfH/BQApPozNkKmwbPgmHzrosRQxJMKkksB7SpFC9IEouiAVkUQEaelAT/nO+UdutVglMtye8nG+ZAHn84kwyTT5jav1b3LFFQbReIp1exmLn3FxP42swZ+juIt7YaJPxnjd5mDnLghexvqV40nu3y7X32qpnV85nuR8Plu4jhszXXarAu9Mz8mXLLg/dftc5d18vX+Q7ewhpcQyBvrrA4AvqOp/kHAgjxAxVGgiAxi00jwAMPHwxpMRwwpFD9i56Qid+dHzOhfYVIkMN+hfp1nazbSq8Ey+4xrN0t87/4fz/w57N3CDF6kezsEXWOF0jmg+V4NBs/Qhz4YYr1sb2HWx4r9UIkOhZMlK/UtV/q1aInuK/CdaImeibPk2x3NexlLp38KNUYkM61I/r6f2akXZnP+6SPWwHE/h9NIe7uxQoRIZbjO81xo8EbmC2C+DeHoYSZAQIoaMeDyEEl0IW92WrBevFdqK84hjXeNBJCAOf2r/g7pxwPN2gHHx9XwERvDOFgD4GddWx5N8DfsBz9sZ4qlcEWHU8t6Pntdjb8/tZSxfOp9YrX9ThEm4jqb8jzjvEwDCLPWd6+kVuhdFmESGqyfKrubHmKk6Plk0zFJHvB9wHmoGOSWDnFJP/Ri7EDqplBhHCgIKjSKGCiZJjtt6q9vC/RPWDAKX4EQPLSYQyYLFmzW4E4/7Pt3QcWOV/+vIxFF32LLH/cqGjlVR3V422R7d5nzOHe76uraFKj6yrhton8+WYPmGjhtrqV38RWmWrvJ//ZHlLv5IHbV3Q8eN9d4jfLUPJ3sf2m+ONHWP+5U97le4sO1AMXty+h8kHKh8AjFU2HA72/aI0FYkD5JSPO0poY1ADBpmavqh22Y8P5QpRJhEiaeRuCyqm0yPKHCDnNDHMrJftERO3xcVYRKdKC/E+D2MuY/LKXADxboHZM/GioeONC8bsMUjBQqNIoYKJkpnCQPQAntaSYM4epsLRFKB2zxDTfoNs5SDboLY9ur2MpZB79wbRb8XDbNUVI+b3kwa6KVd/oTOlEahUUQ8kM8T2oKkAZNfLLQJiCFhpwazRjjGaXMn9HIAEkJEHMAkE/sfhAAAXI0hjzDJ8YYU9kB0F1BEH5g9WZ7gMBYpDh0khIg4gMlmoGrCmJDNRn90o4BTph72sUH0RpMz0fPp0N8kIi7gtGyh0DYkAZgsus0VIhmpt00T2oRkotVZ0v8gQUFCiIgPmAIJYX8QBkw2Q2gjEHHgnA2tBQyAGkuiPzcgIUTEB0wyAQi0cNIXmHIp+osbHXiC6mbneKGtSA7MniyTN9F3u0N/loh4gWPKpULbkNCQsiuFNgERNxocE4Q2ITmoNCdBmjQSQkTcIGVXopSZXpHNDZNKoY1AxI2jjVcIbUJyUN2WBIlFSAgRcSNMKhnVCqGtSFAw1VVCm4CIJ82ecSg62i/2gKHOleiZMoCEEBFfkFPYM5JSTDJJaCMQceZYy+VCm5DoHGxMjuc/JISIeIKcwh7BdeuENgERf8rbFiT4xuvCEmLIY61L+h+XACAhRMQZXHE9Sh+9ANlcIHOFNgIRfzxB9Yk2VDXUKyfaFtoHtWXVyIOEEBFnWILEdHcLbUUCgWtuFNoExHCx++waoU1IXI61XCa0CbGChBARfzDZLJCUCm1FQoBp1iB3cBRj8mZWmucIbUUictY2ucY6RWgrYgUJIWJYwPT3CW1CAkCOwxXXC20EYnjZUX2b0CYkIjtrbxbahAGAhBAxLGCidEy3VmgrBAZPeZAlUDLFKKfZMw45hVE0O8cnkTsISAgRwwemXA6yJKilHSZQUHTssOXUfSh9NJJvqu8S2oSBgYQQMYyINfeN0QxSSSmm/onQRiBGCLs/dUftTUJbkSjsbbgmudxBQEKIGFbCpBIz/FxoK0YcwiDWPYb+uMYUZfXXmz1ZQlshPPaA4Zvq5FsTQX+riOEFExdi+p8JbcWIghl+jtqKjjWCtGTzqbH1Pe+RrVX3Benk6y2FhBAx7GCKJWMncQYz/BITFwptBUIAaqxTdp67QWgrhORIy6Un2pMyLQAJIWIkwJTLQXWd0FYMO5j+Z2gP+rHMtprbxmwnbrMna1NlsvrESAgRIwSuvXV0J5FiurWYIjk6KyKGCZoh3j/2pCeoFtqQkSbEkJ8c+2UyBkU5kBAiRgwcNzw6WrUQ0/8MUy4X2gqE8Nj9qV9U/rfQVow035y+p9kzTmgrBg+BrXhUaBsQYwcMk89laQeE6oS2JJ5g+p8hXxDBY/JkB0LaktTDQhsyQuxtuGZbUvWR6Q4SQsQIg2GyWSxLQfCM0JbEAQKXQMrjmHy+0IYgEotGZ5GICOXrqoQ2ZNipNM/ZeOIRAExoQ4YEEkKEAGDSqYDhQFUKbcjQIMdB2lOYpFhoOxCJSK11ml5uylTXC23IMHLWNvn9o0/SbNJ31UFCiBAGTDIJFIsg1AR0h9C2DAZMswZP+W8MVwltCCJxOd0xe5y+Ui8zC23IsHDWNnnD4aeSN0EmEiSECMHAcCWmWAQYkWSuIWHAUn+BKRYnezgIMdywLF7etiRdXZemaBHaljgzmlQQkBAihAbDJJMw+VyWqgHGIbQxMaC4jEh5Esh0oe1AJAcsi580LdDKzKMpRlppnvP2oT/QrEhoQ+IGEkJEAkBoMOVlQCiJ4GmWpf9/e/ce3dR1Lgh8S+foHL0lS7Il+SXb2MZggw3EIRCDQyAtkJDQNE1v08el6e1qs+7cm0x7e//pTHqbWbPumum9mXbN6nQ6U9om6SspaSFMIW2AAOERIBibYGL8wm89LMmWLVk6ko40fxxXGMm23joPfb+VP4R8LH0BSZ/2t7+9N9vRrAAziEq/I1btRWKM7VAAn0Sj4l77g3LCW60dYDuWHHh/+LNvf/z3AiuHiMSHhfM9BfBdNGyLuv8P1yqlmJiMaP5GLHsMDhcE2dhSeeozzf9bIg6xHUiGQhHJH3u/eX1iD9uB5B4kQsA50eBgdPY3XEmHit2E6jnYRBvkhFEx9VTLj9fobrEdSNpmAoY3r//z3bm1bAeSF5AIAUexmw4xMUnLOkTqJ0U4TAeC3Ip0WP68t+kwj4aG1yd3He19QTCtMYkgEQJOi4ZtUe8ptHAZ0c4CPaWkRqTshEIoyCu+DA29QfWx3v/A0zMlUgeJEBSUAhdtN0r7PaFRbzitX4xSt6O+C8h/DUXmch4VJiZpsk0k20zgbSFSm/PHB2A5kS2VZ/avfU1J5P4lnb1QRHJh5Mkzg58X8EAwBhIhKBwtIT6z39SqkyCEvn115oe3Mnr/h8ai1K1ooA9Rn2SbFGVbRdImRDSKiDrYgB6wQkvOPNnyv5rLrrIdyH0ujj5+fuhzs1QJ24EUCCRCUCBteuLMPpOGWOy6HvXSdW9NZPmYEmo2iKZQ2BENTaCwA0W8KOJDES+KBjFE0REKE5M0IpGIQGIlQgjhRoSXiSSVIqIOSaqzfHYAcsWomOpc89ZG8wV2Jw5DEclNa8e5oWftvnIWwyg8SISgEOKyIONrF1y/7PeyFRIAXMNuOrw+uasIUyADEiHIu0ONysMd+sT7z9kCj56wFz4eALiMwKgN5g+2VLxfmFaaCc+aG5OP3Zja6QspMvh1ixJ/f7/JosQOvOc4Me7PeXiFAYkQ5NdKWZCx5Zi12xUsZDwA8EWJbHpT+dl6Q3e19k7Ox4hD7pZBZ1uv7eFshoD7q2RH95RhIoQQoqOo4feT6TbBcQQkQpBHh3cYDjWs9jXz9UHfV88Xal0EALxVq75TW3qz3tCtk9tKpBm+ZYbcLbZ5y4i7dcjVktn4Lw79vGXpH6cW6KrfZTvxzwpIhCBfkmZBhv5X47PBSAHiAUAYCIwqk1l1SrtBMUbgfgILSPEFqcQnxReWXhYIywMhRSAsd/uqJmfq8rEpzPCzlRblfVvv/uyO9xsXXTl/onyDRAjyoutgObNMIqlXuj3f7+LDuRMAgPt9b7P25TZN3J27T9rPWgOsxJMxWDsFck9LiFPMggihv62HbTwB4KXvd82es8XnvD992oiJeXY2BSRCkBeeYDTFKy1K7FAj5EIAeOmr511xb3apGJ34VBlb8WQGziMEuRego//tpue8jbo5EwrSSIqJtcRqX7m0hPi1AV/BwgMA5IonGKEi0U9XyJbeWafCT04Epha4erZoApgjBHlnUeLDz1asfg20zADAX4k9ATnZOqpgoDQK8m5XuTTunq9dcH376szxMf+ol0YI9bhDkAUB4K9vXXHH3WNRYl9Yk4MVGoWBsx0AEL5O032J0BOMMjurZbjpNrfpSK8KD+DisERMk+IwgYUQQkFaghCiIrg/TAYjmCsoL4Yd/YsKgVFV8hklThFYiBSHSCwoFdOYOERHJJ6QjIpIgrSEiuCOgMZNCXBG/Kw1cM4WiHunf2eD5rdD/JjygEQI8i5upVG3m2IrkpzTkd4yqcdAzpmkc2pJoIRI9W1P0bg7JPUElQ5KPeHTW/3Fss2/YFgUznr1ZKXCYZTOmuUujSTV3cWoCG5d0NkXSq0BTf9c5cC8iY5gyX+N81654Tm9775E2KqTtOkJXmwdBYkQ5F3c98RzNh4nQjlOlZLzVYppk3TOJPWQWIYbSpFY2Ix5zVJvE7KhUkTRuC2gGV3QT/j0Vr8G5iy4ySybWa8da9aO1KqsqWe+OKQ4XKN01CgdzB+pCH533tTnqeZ7Ulx2UPiVemW3K75qykGQCEF+JfaL8nQ3QkxMN6hsLZoJiyL3G2eQWNiicFkULlSKZoKKjz0VvbNVC2Eon3ICgVEP6oe3l91q0uS++4MUh5s0E8wj2/zaD6fXX3A087R8+vqgLy4RHrTIE6cPOQi6RkF+PWKWnt5nXHoP7zaeYMYB61T2jMd/mRn16W95+D1K4LlIa8n4Q4Y7bYY7pLig//R9nspLjparrjp+zSVrCbHrS1Vxd/JiY30YEQKwIh3p3Wbob1DZMVGq+wPkEDNGtAaGrjgbh+ZNhQ+gmFkUzqeqL7bphll5dmaMuL9S+8exHdecdXwplc8GI8fH/Aeq71tT+IhZCokQAF6yKJzt+qF8VEHTZZZ6D1Z2WQNKSIeFsUZle7zyClspcCmTbPaFtcc/U82ndHjWFohPhCYp9/vDIRECcB85Tm0r7WvTTrIdyH2YdDjq05+05uYAHZBIjlOfqznfaSzEcbipY9Lhvoqy1wY/PeozsB1OEomzHht1BCuRpAUSIQCLMDG9zdD/gG6ElUJoKiwK19fXnP/IXXPZ2QgThzkV2W3++Imqyxn3guZbjdLxvbY3ztlbfj+yk8tdVIlV0LjVU9wEiRAAhBDSkd695V1mqZftQJLARNGt+rvNmvFzjuY+T5KN60AqmjSTz9acja1n4LJO46023dD/G9922rqBs5XSHnco9cNnOAISIcivxL3TNKtuwM2K1pLRXcbbnB0IJlLi4b3mmyqJ/5qznu1Y+K3dMPh8w8kCN4VmQyPxf7HujFHqeXP0YW5WBWaDNEL3JcJHzFKON4pz7iMJCExiqaRNz6E5AzlOPVl1ZY+pl0dZkIGJojtL+5+pviLHebxBAYswMf1c7fkX1h7nURaM2VN+/bsbfqcjuV7A4AtIhCDvmJ21YzZxZvJcjlMHq640KNlvDc2YReH6cu05i8LJdiA8Y5bNfHfD7/aUX2c7kMzVKB3/ufVXrSWjbAciBJAIQd7ddN83KNxpij+MghU60vvl2nPcnxRMSomHD1R0QS5MnVk28w/rjvJiUnB1Gon/m03vtBsG2Q6E9yARgrw7a7tvekBDiFivjpplM89ZLilx/tXElkVi4WeqrzZpuLXkg5vWqGz/vOFNk2yW7UBygxSHX1h7fLe5h+1A7mnTxTe1cnyCEEEiBAWQ+Db4Sj2bWylaFM7PVl0r8H5pBfB4eQ8UylbXWjL6Ty2/5+waiYx9se7Mc7XnEeLEoZ4aQrT0j3EzI9wEiRDkXbcrGPdmONSgTNyMuzAsCudnhJgFGXtMvTAuXIlF4fxm0zt8bI1JxZ7y67vNH7MdBXrKIo+7Z8QbYiWStEAiBIXw2uB9U3EaQvRii7rwYehI74GKLt41iKZlr/kmzBcmMstmXmo+ItQsyPhi3RnW5wsPJiTCbhckQgAQQggxR9Iv9eJ6dYEHhXKcOlh5XahjwRhMFD1Q0QWN9UvJceof1h0VXkU00fMNJ9ktCXQmtMKds3F9ghBBIgSFMeoNvz543+ntGkJ0eIe+YAFgYnp/eXfqJ8jzGomFP1d9CdYXMjAx/U/NRwTTHbM6Uhx+cf0f2CoJPGKWxm2o5glGj40usBJMWiARggL5l674T6KDFvmhxgJ1zew193DhKImCUeLh/eXdbEfBCY9XfCSAlRKpI8Xhv63/MyZmoUXl5U2auHuOjfEgCyJIhKBgRr3hV7o9cXce7tAXIBc2aSab1LZ8PwvXWBQuaCJt0kwerL7EdhSFVqN0fN5yscBP+ohZmlgXfW2AHyV6SISgcL7fNdvjjp85z3culOPUHmNv/h6fy3YZb5tlM2xHwRqFxPeNtcfZjoIde8qvF7hxJnE4OOqlub+CkAGJEBTU8x84PcH4ps3DHfrvbdbm5wkj+8u7Bd8gsxJMFN1XfpPAinOyMPL3a08UQ4PMSp5vOKmQFGhS/KUWdeJw8JVu3szLQiIEBdXtCj59epkJm5fbNF0Hyy3KHB+H0m4YLqqpwUQlhK+1ZJztKFjQbhhu0kywHQWbSHH4GUshysJteuLltvgvsqNeOrFXnLMgEYJCO2sNfO3CMsmpVScZfrbie5u1uVpWoZD4HjYM5OSheO1hw0CxraYgMOq5ulNsR8G+TuOtNar8zo5rCfHPdxjidpNBCD3/AZ8Ws0IiBCz4Zb932VyIEHq5TTP8bOX3NmuzHx0+UnZH2GvnU4SJoo8W2SzpkxXdxVwUXeqLdafzuvXa4R36xGN4j4/5+TI7yMBET73EdgygGHW7gudt1EGLQorFf5eUYqJOk/TFZnWrjpBLxCPz4QCddj4zy2Z2GftyFCzvaQm/g1LNBNnc4rVgzLKZrzaexEWc2HiTdVrC5w0r7npN+XjwwzsMf1OniLvTE4zuOmHL4D3LIhgRAtactQbq3ppYZeOJgxb54Q6960tVZ/YbX2pRp3VmxS4T+/sucspWQz/bIRTIpyo+EvZWaul6oupyZssKX92q6zpYvlJT9+EdhkMN8VkQIfT0acdskGffQmBECNgUoKOvDfjmQtGHSqWJQ8OYGiX+6QrZN5pULzVr7AE68dT7OE2ayc1F2SGyChUeLIZBoULie2HtSbaj4BYpFp4PpT0obNMTP9+hN8mwp6rl523UiPfedwstIf7xdv2yWfBrF1xH+bCVTBwYEQL2/fDWXN1bEz/qnU96pYYQHe7QJ+2maSnudsGVFMOg8KlKHh86nz+7zV3pzhQuPSvt5zsMsTedRYmf2W9aNgu+PujjUafoUpAIASfMBiPfuuLW/2r8lW5P4kLDtOhIb5EvmViJWeoV9vp6hcS3w8ShI2q5wySb7Si7k9avLD1HwqLEmJ2Bn7LIbxwsT+yOQQi9Puj76nk+dYouBYkQcMhsMPL9rtmq340/e8Z5fGz5rj8nFVl9BmK9BoqiK9qsu8t2CHm023QLZgdX8qi5K/WL2/RE3PbZBy3yroPlf9hdmrhSAvE8CyKEcrx+GYDs+cLRt0d8b4/4MLFojQrfXyX7ZpOqQb34Wv3XnvgNS5fCxHSbFhLhihpUdjlOLYRJtgPJi4dKb7MdAnfVKB1m2YzVX5LKxUvrojHLDgQR/7MggkQIuIyORPs9oX5P6Ie35jCxSIWLSExk96/W/9aimSjaDdVSgYmiDSpbz4yF7UByz6JwFslZSxlrN/S/M741lSsTz9ddydcuuHg6L7gUlEYBP9CR6GwwsnoWRAg15HkfDQEQ6l/Rw2UwHEziodLbqbTMJNZFl+UJRneftAsgCyJIhEBIMDFdKXezHQXXWRSugu3FXDCYmG6HumgyJtlsk8aa9LJl66Jxjo/5696a4Nf2MauARAiEo0YxDXuqpaJeye8ZnUQNKhvsqZaKzbqhpNckrYt6gtEXP3TzbtX8KiARAuGoUdrZDoEfKuVCW17SqIaVoympVydpJUulLqohRL/Yqc9dUOyDRAiEwyKHXomU1Cqcme25xVlNmjG2Q+CHGqVDjq92PmUqdVGEUKdJmrczRFkAiRAIhI70lhBCm/rKExILl5FzbEeRM3KcqhVoB1A+NK+6vij1ftGX2zRpbf/LZZAIgUCUEELoXiuYSgFtvtOgssE6+tSt1664qcIGXUr9ojGvbk1pVSL3wTpCIBBpnT0rEeNacrEE5A9T3lC++iyaS2p3mjcihCZ9zndGL+bpWTIgpBGhQZrLkrhOWqGWlCKE5kLTc8HpcCR+h/fOyi/LcR1C6MLUr+eD/Gs7Mq781zU8F0rroa5NJ9n+ni8gEQKBSOuTfZexbU9NO3PbvuD+95438xMUkmB4raYcIeSnufWRoRHQALpS4cjJ49So2h40PS0Tq2P3hKPUnflrd1xnlyY8PWlR4QaEkETMyw16zCu3SvnC0baj1qdrUqqOnpr0X7SvNt3II5AIgUAYpckPr4h5wLzu3i/KdaUy7bS/uBptdBKBrABDqw5xUkRiio7yL1XK18Xdj4vIZnXHGkX72enX7Z7eLJ+FIzQS/yrb7H3sDn7s5taXtgKAOUIgDJHUO2Vq1eZYXZSxraw5DyFxGomFV+8e5BFt1qPbR6v+bmkWnAnZJhY+8UcWawxSjHzM+LxOWpFPjQD4AAATZklEQVTls3BHtYJ/Fd28ghEhEAIdmcZZoA8Y1jI3Lkzd7CjfiBB6wLj25PiVUKS4Gi40kgVh7L6d5RajG/WPlZG1zO3++atd9mMUvfilqkbV1mH+MibCMBG2qfSJ0+M/zTZWblDB5gP3g0QIhIAUpzrJLxHjm8saEUJ0lD45fqVCYajVlEsxslFT1Ttzr5tOKZHVayoRQp6g9+6ctbmktkKqd4Q8g56JxM6aWrW5Sl6mJZUO/8zQ/NQqVdZatVlDKGMPm3j/pG/aH6aYp04U9+ylMu0aVXmZrMThn5mcdYyn2bihIRZSPIuAy7LcLo7EFBv1e5nb/fNXL0/9ZulPR+a7EUKd5Ycc1N2h2StJH8osbzAo64NBjz08lVhKxcVEpWK9mihFCPmj/jHPjVjGRUuadFzURJD2V2s2yUSyZR8ne2rB7bGXJUiEQAiIlJeHbzE0YiIMIXTLdTcUCd9wDjDNLO1lTUsTYb2m8rmGPQih2+6Rp2t3GuU65v5ZyvvbwVOxHFYq036l8dOxnzKu2T/5/fDZZZ9dQyiZhw3Q1H/56PXYGPQL9XuYau1Peo8qJTLmmkSv9b3LBCkR4wdrOtqN981pXbN/cnTkQrGNa9V4VhNa1ZpNzOshHKW67McSLxiZ754b/YE7MLn64zToOh40HMBF90bYjpK7S9tKa1RtW41fkGL3LnjQcOCq8/iA+wLzx7W6zkbVgwih3rkLaxTtsSsdJXfPjP9sacrMnlG62llmRQjmCIEQ4CkvI9tkaGBudDsHEULXnf10lEYIrdfVKCWyxOvX62qW5jktqXy6didzWyLGv77uQOynAXpxyq3duG6nqXXZZ+92DsxSXoSQFCO3GBqZO2NzlvYF99Jh4iq+2PBYLAsufd6DNR2p/DpDGGvvspzp1JAm5oY7OLVSskmaBTfqH9te+gyTBWP/HGVk7WNV38TFBEJIJ63oLD8Uy23MSw4XkdtLn0mcemxWdyzNl2Vk7Yayfen+f4G0wIgQCIEktRFhqUzLjP9mKS8ztApFwrdcd1sN9Qih7Ybmv1g/Svyta/ZPbs+MrlGXMxOKsS7TUCR8YuzD/dUPTfmcR4bPekP+NkMDM5hr1tWct/UsG8OZietPr+lECD1s3vCh4zZCaLuxhfnRRevHCKEJ7/RPeo/Gro8NFu96pvo94wihh8rWr9fVIITsC+6f3n7HG/KXyrRfX3dASyrbjes+ct5JMZsSWHqLxrhJmV0iVGCL335mg9OZPYJOWsEUV+kofWLsVXdgMtaDqsIN60s6b7remwtO33D+aaN+703Xu7dnziGE2oxPNqs7EEKVivVxiZaO0jdd784Fp9dotzItPGsU7R+hI9n8b8aRYALpk8oVSIRACFIc3MS6Q2+5hmN3djsHmUT4gHldYiKcpbxMnbN35m6Lvo7JSWXSEmYisNs50OteLKgqJTJPcLF90axccUvi687+Ryu3aEmlUa6rVZun/bMt+lqEEB2lrzv7EUKhSDiWyQ6t3RcbLL4x8Bem7Bkb1A7MTliUiwOa0XmblqxHCFXJy1JMhKlPrHJZluncRy/OuWqJ0sweoVKxnimuWv39akkpM883vTDM5LBSeR1yoXAkeNP13p3ZSxTtw8UEJpIEg4vFSY28Gt2/rm98ofum6z2EkIuaqKz9TwghKUbiYiJxaT/IFUiEoIi06OuYG9vMzdvM8UsmtKSyVm2OyyKj8/c2sZzyOePWXSglsn1VWzcY6pbWshBCEvGK76xQJHxh6uYTtdsRQp3mtmHPFPMx2uXoj5ve+1zdI8zIb5byvt7/51ibTCzLdpRvZAapSxnlvO9/KSQPtfjvqyeqVYRh2Z1iNuofY3LYso+gkVczNyrl6xJXImr+ml910orm0r3Vssal84gIISLhQ3hqYfGr1XzQGaAp5qWFiSRhlLNEKIXTyu4HiRAUi+aS2lgaY3JPogcMa1cZTsUlKokY/8cNzzCPGaApq9eFEGJKr6u77OjdU71FipHrdTXlCgNz54cTt5Ze8ynzA8wsYICm3rh1cjp4rxM1EA4xH4633SOJrTHj3lS3WaEikhSvFLAxzw2myQUTYQ8aP5u4QGKj/rFNhsc36vf2zV/+yLpMfTL81zGlg7q7EI4/F5oZceqkFfuq/5FJgfNhp5+el4hlJRJT0vCiIgqh3C9xCURFOX9MXoNECISAiiR/JbeXNTE36CidmD+Y1LK5rDH1xstGTVWsbsls0qaUyF5+4FDSXwxFwhfGbzJ7vMXm/5YufniobD3zUzpK/6LvZNy6iFgVdNgzFZuJrCIMCKF0V1AIQJDOKp1TtO+q8/j20mcQQpXydftqXrxiO8JM2pGYYkPZPmYmDxNhsdnEOM7AGNPt6aW9H0y8wdzJLKVgVl8ghOpKtjFZMLZCo0bV1lme/KUCCgMSIRCCUCTJlvlKiWxtSRVCiI7S//X6G4lrAb/d+nmjXIeJsC2GRqaHJSkJtvj2ITGiVKZFCD1evS3FgC85e3dZNscGpjecA7Ef1arNT9V1Mredfs+GkroNJYsV3RvWO+NB5yX7rRZ9PSZC+2q2aknlmM9RJtF0VG2UiPH3R7uW7fdZVpYphCO8We8JMOC+UK/ewqypLyNrD1i+E45Sfnqe2VCU4Y/MdTlOLvvrY54bm/SfkonVdfINRNU3hmavqInSeu1WFW6oWvj46tTvKNonES0eV0SIMRJTKCTazWVPZBl2NnxBdfKLigkkQiAESXdI2axfXD54Z2Z82bMmrtn7mHm7TYaGFBPhoGeCmcLRksrvtH2BuZOO0ivVXZfyhvyXrb3MDF+Appg2GYZRWoL9tXBllOuWLt4YmptCQefdOevJkUtP1G7HRFjcHGGpMo0JwlSG0dw3E0zpINnVvTf2k3bTM8zADiGEi0gVfu8VNROyvT/xs5UOmqBo3znHm48Zn8dEWNw0YSlhpqMhhNCwr4d58BrFlpr6LQihcJTNvs2ZkJTFZ+cgWEcIhCDpdFe7cbEues3Rt+wFXa7FBYW1mnJmeJeUN+T/Rd9J+8LitNAs5f3NwCmnP9WlyipicY//j+x30l0Ff97W85Peo7GnRggFaOrUyLVfD7yX+oN4gqkewcplntDyFcu0hCPBy1O/edf2fx3UfWf1zYRsl6aPnBh5dfXjluye3mMj/zqx8AnzEkII0VF6xHf9TyP/g2n1tHt6L00fiS0xnAnZTtlfzz7sjM2FFCw+OweJxIdH2I4BgGxhYvqltX9m69mZlfhpHWqolMi+u+XLzNjxB92/zfjsC4kYN+HaABaepbzpZtNfDO90UzkYTrHuJ9v+Zw43B8DFhAxXI4T84bkMViyoCINETC57kCHz08weNrf++61n+zzC2UM8e0KojQBARzBvGFfi7GyVksG5vrFS7V3PanuTJhWKhDNrkKGjIjclhBEhQsi6oKtR5uZIQoRQOBLM5rjd1X+XIwf5ji+kVPMoHlAaBQLhojRsh5CGWKn2cmrzkTk3F5IL5u1vX8hwLXxxoiK4D0qj9xPIOwEAHs3/16rNTAtMgKZiG9MUmD2gYuV588Ea4NN3INZZF3TJLyoykAiBQEwuGJJfxA2d5jbmRgZtMrnioITTQN8/t/ypVWBZg3NVbIfAOTBHCARizMebRHhk+CwaRgghimZtt8+h+eTbmvDFwLyJiuDCOEyjAAbmk29+VGxgRAgEYiFMzgT5MfPhDfmZ/9gaDlI0Lox+UQYdwe4KKK/nW+8sjAjjQSIEwjEKvXCpucuf0XOK+jzVbIfADyPesqS7TxQhSIRAOHg0TciuiYUVT4niqd5ZC9sh8ANMEC4LEiEQjoF5E0XDtHdyA9kVEg81Ks/sNx7eYdASXPkAGZovs/mhHpDcRcd6tkPgIq68jgHIHh3BhFf0y7lRnz7j4piWEL+9u/Rwh77TJD3UoPjDHu4s4BN3OeEjPgmbXzsKb5DlQCIEgjLkNbIdAtdlPBxs0xNdB8sPWu7tR9NpkrbpiRzFla0bM1AdTeLDafiusDxIhEBQoDq6OjoqyiwRvtSivv6U2aKMP1hDI+HKZ8jQvAmqo6u75mxkOwSO4sqLGICcoCNYN3SHr2xg3phuXZQph/77g2kc8MSW09bNbIfAXd3uOqufB/+IrIBECISmy11HR0XJrytKXe7atK5PLIdy2QeOppycyiRI52xtbIfAXZAIgdAshMmBeZgpXMaoT5/WmGClcihnBWnyom0T21Fwkc2v7ZmBSsmKYDYFCFCXu7ZJbWM7Cs655lqT4pVaQnx4hz6VgeAmQ+GaZXrcwdlgZPVrztib91ddKkw8PHJi4iEY9qwCEiEQIKu/ZNSntyhcbAfCIaM+fYqt82164g+7y1IcCBZ47vCVbs/3u1Y7vtFNKU9NbdlTfr1gIXGfza+94FjLdhScBt8RgDCdsTfDTOFSF6dT7Rh8dauOs+XQl9uSn7h0bGILFYGv+PfAcDAp+NsBwuSmlB97YJf9RWnNDnaaOL0XpUWZJMn5QorTkw8WJhjuG/GWwXAwKUiEQLAuTzfBmkLGGXtz6hf/qHc+f5FkadRLj3qTH9lxYqoN2kcZx8Y64HM+KfiYAIK1ECZP2ZsfL+9hOxCWXXHVpnXo0reuuBFCLzandIR9jzs0G6QzjCxNc8Hov9xYbYIwZiFM/mZ4zwtrj+c7JI674mjugQ13UgCJEAhZn6eiRTNRzF0z1oAyg8rYt664z9kCv9hh0BBJ5ln/44fuc7ZAptHl0TVn/eaS5q1lvWwHwhpPSPbG3U62o+AHGDIDgSvmrhk6Knp3anNmb/Njowubjk71uEM5j6pg3rjbWcwF0l8O7IOjB1MEiRAInJtSvm8v0r2G37evz+Yk+lFvePPRKS5PGa5uIUz+9M6B4uwgPTG+HYqiqYNECISvZ8bSPVvBdhSF1jdnyslH4beuuJ8+Pe0JRrN/qMLr81QcGdnJdhSF1uepPDLWznYUfAKJEBSF09YNoz6hHcu+ipmg4l1ra64ejddl0tPW1m53HdtRFI4nJPvxnf3w2Z4W+MsCRUL8zmSbNZB5nZBHKBo/OrGFjuRyUfxKZdIedzCHz5InPxvYWzwnNP30zgFfSMF2FDwDiRAUiyBNHh3f6g0LfMaIjoqOT27OZmpwFXFl0l8O+JJu/skFC2Hy33o/VwyNMz+6/XSfp+hmAbInEh8eYTsGAApHR3qfs1wiseSLsvmIjor+ON6e4p6iGdMS4lYd4QlFul08GA7GWBTOl5qPaCR+tgPJl18PP3o6d/XwooKJnnqJ7RgAKBw/TYwv6BpVNlzMg6FMuk5aW4cyOoA+LQE6OuoN2/wFWkefK56QfHCucmtpHy4S4D/92yOdf56CI6gyBKVRUHSs/pK3x9sFtvsaReNHJzZDWWx1Q/OmV7q/JLwa6c8H9v5pcjPbUfAYjAhBMfKGZYNeY4NqkhDEuNAbxt8c2z61oGM7EB7whmXXnE2N6gkt4WM7lhygIvirvc90FVNbbD5AIgRFyk8Tn8xVViqmVTifJroSWQPKt0YfngslP0QXMPw0cdm5tlLuMslm2I4lKza/9ge3nh3xlrEdCO9BIgTFKxTBb89VagmfgfSyHUuG+uZMxybag7SE7UB4ho7iV5yN4Yh0vXaU7Vgy1O2u+7fbn/EEi2JFUL5B1ygAqEkzucfYy69WUjoqet++HrbRylKTZvIba4/zrpX06Nj2d8bbockjVyARAoAQQjrSu7e8yyzlx9BwJqg4ObUx9bN2wSp0pPfvGk42aSbYDiQlnpDslwP74AtQbkEiBOCejrJPHtCNYCLu7qtJR0UXnQ3XnPVsByI07YbB5+pOcXloSEXwkxMPvjvVFqThTIkcg0QIwH3kOLXL2NuktrEdyDL65kzv25vhbJ08kePU/vLu3RVXSTHniuTd7rrfj+yEGkCeQCIEYBk60ttR1tug5MqJvn1zpsvOxjxtnAaWYorkO0w9HEmHfZ7Kt0d3FGCfhGIGiRCAFelI7zZDP7ujQ0iBrOBCOux21/1l6gHYJKEAIBECkIRC4nvIMLhOZS9kWylF492zVV3uOiiEskiOU9tK+3abu0yy2YI9KRXBP7C1vm/bAIXQgoFECEBKMDHdoLK1aCYsivzWS0d9+lueyoF5U27PUQLZaC0Zfchwp81wJ68DxD5P5XVX4weOJmiHKTBIhACkR0d616hsFrnLJPXkcIw46tMPzJsG5k0wBOQsAqNaS8a3lfau047lMCOOeMuuO9dBAZxFkAgByJyO9JZJPQZyziSdU0sCJSlvX0nR+AJN2gMqB6We8OmhCMY7FoWzXj1Zr7Qb5dMl5Hzq6y6oCD5DKW1+3YjX1D9XOew1wPiPdZAIAcglHelV4QFcHJaIaVIcJrAQQihIS6gIHopg4Qg+H5Z6QjIoewqPWTajIRZIcVglWSCxoFRMY+KQLyylaIKKSOZDMn+YnKZUMOLnIEiEAAAAihpsVQcAAKCoQSIEAABQ1CARAgAAKGqQCAEAABQ1SIQAAACKGiRCAAAARQ0SIQAAgKIGiRAAAEBRg0QIAACgqEEiBAAAUNQgEQIAAChqkAgBAAAUNUiEAAAAihokQgAAAEUNEiEAAICiBokQAABAUYNECAAAoKhBIgQAAFDU/j+xmcaTlUNzXgAAAABJRU5ErkJggg==)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uCF96M1JpWJQ"
      },
      "source": [
        "***DATA CLEANING AND PRE-PROCESSING***"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TpkX__9DtKJK",
        "outputId": "6ce7ade4-3842-45ca-d112-8465409b1fc4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Retailer            0\n",
              "Retailer ID         0\n",
              "Invoice Date        0\n",
              "Region              0\n",
              "State               0\n",
              "City                0\n",
              "Product             0\n",
              "Price per Unit      0\n",
              "Units Sold          0\n",
              "Total Sales         0\n",
              "Operating Profit    0\n",
              "Operating Margin    0\n",
              "Sales Method        0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#Checking for null values\n",
        "adidas.isnull().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c7lr3EpENhLk"
      },
      "source": [
        "***REMOVING NON-NUMERIC CHARACTERS FROM COLUMNS***"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ELi5oLpZ9plC"
      },
      "outputs": [],
      "source": [
        "# Remove non-numeric characters from 'Total Sales' column\n",
        "adidas['Total Sales'] = adidas['Total Sales'].str.replace(r'[$, ]', '', regex=True).astype(float)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tAdbbIRg-yYy"
      },
      "outputs": [],
      "source": [
        "# Remove non-numeric characters from 'Units Sold' column\n",
        "adidas['Units Sold'] = adidas['Units Sold'].str.replace(r'[$, ]', '', regex=True).astype(float)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FSyT0A1HHpQB"
      },
      "outputs": [],
      "source": [
        "# Remove non-numeric characters from 'Operating Profit' column\n",
        "adidas['Operating Profit'] = adidas['Operating Profit'].str.replace(r'[$, ]', '', regex=True).astype(float)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fOMFfo5srv2m"
      },
      "outputs": [],
      "source": [
        "# Remove non-numeric characters from 'Operating Margin' column\n",
        "adidas['Operating Margin'] = adidas['Operating Margin'].str.rstrip('%').astype(float)/100"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n7RzqsJWL5TH"
      },
      "source": [
        "***CONVERTING INVOICE DATE TO DATE TIME OBJECT***"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tPbGqevS0DJE"
      },
      "outputs": [],
      "source": [
        "# Convert 'Invoice Date' back to DateTime objects\n",
        "adidas['Invoice Date'] = pd.to_datetime(adidas['Invoice Date'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ngh2faFYM0vt"
      },
      "source": [
        "***EXTRACTING YEAR AND MONTH FROM INVOICE DATE***"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-S55jVB0Mzn7"
      },
      "outputs": [],
      "source": [
        "# Extract year and month from 'Invoice Date'\n",
        "adidas['Year'] = adidas['Invoice Date'].dt.year\n",
        "adidas['Month'] = adidas['Invoice Date'].dt.month"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o2Mghda6zrhc"
      },
      "source": [
        "#**EXPLORATORY DATA ANALYSIS**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YFGU8SskPgbn"
      },
      "source": [
        "# **AVERAGE OPERATING MARGIN**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i3gUu-tIrkGW",
        "outputId": "83755234-ad7a-4ffe-d2a7-c6cbcb5627ef"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Average Operating Margin: 0.42299129353233833\n"
          ]
        }
      ],
      "source": [
        "# Calculate average operating margin\n",
        "average_operating_margin = adidas['Operating Margin'].mean()\n",
        "print(f\"Average Operating Margin: {average_operating_margin}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R2SZr4UJbeK6"
      },
      "source": [
        "#**YEAR-OVER-YEAR PROFIT (YOY)**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yer70RfuIch-",
        "outputId": "649965eb-f076-4e2d-d816-55796e7b31e7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "         Retailer  Retailer ID Invoice Date     Region          State  \\\n",
            "0     Foot Locker      1185732   2020-01-01  Northeast       New York   \n",
            "1     Foot Locker      1185732   2020-01-02  Northeast       New York   \n",
            "2     Foot Locker      1185732   2020-01-03  Northeast       New York   \n",
            "3     Foot Locker      1185732   2020-01-04  Northeast       New York   \n",
            "4     Foot Locker      1185732   2020-01-05  Northeast       New York   \n",
            "...           ...          ...          ...        ...            ...   \n",
            "9643  Foot Locker      1185732   2021-01-24  Northeast  New Hampshire   \n",
            "9644  Foot Locker      1185732   2021-01-24  Northeast  New Hampshire   \n",
            "9645  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "9646  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "9647  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "\n",
            "            City                    Product Price per Unit  Units Sold  \\\n",
            "0       New York      Men's Street Footwear        $50.00       1200.0   \n",
            "1       New York    Men's Athletic Footwear        $50.00       1000.0   \n",
            "2       New York    Women's Street Footwear        $40.00       1000.0   \n",
            "3       New York  Women's Athletic Footwear        $45.00        850.0   \n",
            "4       New York              Men's Apparel        $60.00        900.0   \n",
            "...          ...                        ...            ...         ...   \n",
            "9643  Manchester              Men's Apparel        $50.00         64.0   \n",
            "9644  Manchester            Women's Apparel        $41.00        105.0   \n",
            "9645  Manchester      Men's Street Footwear        $41.00        184.0   \n",
            "9646  Manchester    Men's Athletic Footwear        $42.00         70.0   \n",
            "9647  Manchester    Women's Street Footwear        $29.00         83.0   \n",
            "\n",
            "      Total Sales  Operating Profit  Operating Margin Sales Method  Year  \\\n",
            "0        600000.0          300000.0              0.50     In-store  2020   \n",
            "1        500000.0          150000.0              0.30     In-store  2020   \n",
            "2        400000.0          140000.0              0.35     In-store  2020   \n",
            "3        382500.0          133875.0              0.35     In-store  2020   \n",
            "4        540000.0          162000.0              0.30     In-store  2020   \n",
            "...           ...               ...               ...          ...   ...   \n",
            "9643       3200.0             896.0              0.28       Outlet  2021   \n",
            "9644       4305.0            1378.0              0.32       Outlet  2021   \n",
            "9645       7544.0            2791.0              0.37       Outlet  2021   \n",
            "9646       2940.0            1235.0              0.42       Outlet  2021   \n",
            "9647       2407.0             650.0              0.27       Outlet  2021   \n",
            "\n",
            "      Month  YOY Profit  \n",
            "0         1         NaN  \n",
            "1         1  -50.000000  \n",
            "2         1   -6.666667  \n",
            "3         1   -4.375000  \n",
            "4         1   21.008403  \n",
            "...     ...         ...  \n",
            "9643      1   90.233546  \n",
            "9644      1   53.794643  \n",
            "9645      2  102.539913  \n",
            "9646      2  -55.750627  \n",
            "9647      2  -47.368421  \n",
            "\n",
            "[9648 rows x 16 columns]\n"
          ]
        }
      ],
      "source": [
        "# Calculate YOY profit\n",
        "adidas['YOY Profit'] = adidas['Operating Profit'].pct_change(periods=1) * 100\n",
        "print(adidas)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CYQnk07K0EQF"
      },
      "source": [
        "#**REMOVE ROWS WITH NAN VALUES FROM YOY PROFIT COLUMN**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_q3TEp_QdHm1",
        "outputId": "bba29dca-0c84-4c3e-ad73-672675a74ac5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "         Retailer  Retailer ID Invoice Date     Region          State  \\\n",
            "1     Foot Locker      1185732   2020-01-02  Northeast       New York   \n",
            "2     Foot Locker      1185732   2020-01-03  Northeast       New York   \n",
            "3     Foot Locker      1185732   2020-01-04  Northeast       New York   \n",
            "4     Foot Locker      1185732   2020-01-05  Northeast       New York   \n",
            "5     Foot Locker      1185732   2020-01-06  Northeast       New York   \n",
            "...           ...          ...          ...        ...            ...   \n",
            "9643  Foot Locker      1185732   2021-01-24  Northeast  New Hampshire   \n",
            "9644  Foot Locker      1185732   2021-01-24  Northeast  New Hampshire   \n",
            "9645  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "9646  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "9647  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "\n",
            "            City                    Product Price per Unit  Units Sold  \\\n",
            "1       New York    Men's Athletic Footwear        $50.00       1000.0   \n",
            "2       New York    Women's Street Footwear        $40.00       1000.0   \n",
            "3       New York  Women's Athletic Footwear        $45.00        850.0   \n",
            "4       New York              Men's Apparel        $60.00        900.0   \n",
            "5       New York            Women's Apparel        $50.00       1000.0   \n",
            "...          ...                        ...            ...         ...   \n",
            "9643  Manchester              Men's Apparel        $50.00         64.0   \n",
            "9644  Manchester            Women's Apparel        $41.00        105.0   \n",
            "9645  Manchester      Men's Street Footwear        $41.00        184.0   \n",
            "9646  Manchester    Men's Athletic Footwear        $42.00         70.0   \n",
            "9647  Manchester    Women's Street Footwear        $29.00         83.0   \n",
            "\n",
            "      Total Sales  Operating Profit  Operating Margin Sales Method  Year  \\\n",
            "1        500000.0          150000.0              0.30     In-store  2020   \n",
            "2        400000.0          140000.0              0.35     In-store  2020   \n",
            "3        382500.0          133875.0              0.35     In-store  2020   \n",
            "4        540000.0          162000.0              0.30     In-store  2020   \n",
            "5        500000.0          125000.0              0.25     In-store  2020   \n",
            "...           ...               ...               ...          ...   ...   \n",
            "9643       3200.0             896.0              0.28       Outlet  2021   \n",
            "9644       4305.0            1378.0              0.32       Outlet  2021   \n",
            "9645       7544.0            2791.0              0.37       Outlet  2021   \n",
            "9646       2940.0            1235.0              0.42       Outlet  2021   \n",
            "9647       2407.0             650.0              0.27       Outlet  2021   \n",
            "\n",
            "      Month  YOY Profit  \n",
            "1         1  -50.000000  \n",
            "2         1   -6.666667  \n",
            "3         1   -4.375000  \n",
            "4         1   21.008403  \n",
            "5         1  -22.839506  \n",
            "...     ...         ...  \n",
            "9643      1   90.233546  \n",
            "9644      1   53.794643  \n",
            "9645      2  102.539913  \n",
            "9646      2  -55.750627  \n",
            "9647      2  -47.368421  \n",
            "\n",
            "[9647 rows x 16 columns]\n"
          ]
        }
      ],
      "source": [
        "# Remove rows with NaN values in 'YOY Profit' column\n",
        "yoy_cleaned = adidas.dropna(subset=['YOY Profit'])\n",
        "\n",
        "print(yoy_cleaned)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wWm7QknKbzYY"
      },
      "source": [
        "#**AVERAGE REVENUE**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tc6DwGQsK-UT",
        "outputId": "a6cb63ef-245d-4be6-d21c-46c20359252c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Average Revenue: 93273.4375\n"
          ]
        }
      ],
      "source": [
        "# Calculate average revenue\n",
        "total_revenue = adidas['Total Sales'].sum()\n",
        "number_of_periods = adidas.shape[0]\n",
        "average_revenue = total_revenue / number_of_periods\n",
        "\n",
        "print(f\"Average Revenue: {average_revenue}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SvLEPJ87b8LR"
      },
      "source": [
        "#**REVENUE FOR EACH YEAR**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pfvTfo9RLgQO",
        "outputId": "1af62d2b-9299-4277-c5ff-563319cba612"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Revenue For Each Year: \n",
            "Year\n",
            "2020    182080675.0\n",
            "2021    717821450.0\n",
            "Name: Total Sales, dtype: float64\n"
          ]
        }
      ],
      "source": [
        "# Calculate revenue for each year\n",
        "revenue_per_year = adidas.groupby('Year')['Total Sales'].sum()\n",
        "\n",
        "print(f\"Revenue For Each Year: \\n{revenue_per_year }\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lnRs58gBcHTR"
      },
      "source": [
        "#**REVENUE SAME PERIOD LAST YEAR**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-i7ojjDPMLjP",
        "outputId": "ab7ea262-ea43-49e9-937d-22086cb96f10"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "         Retailer  Retailer ID Invoice Date     Region          State  \\\n",
            "0     Foot Locker      1185732   2020-01-01  Northeast       New York   \n",
            "1     Foot Locker      1185732   2020-01-02  Northeast       New York   \n",
            "2     Foot Locker      1185732   2020-01-03  Northeast       New York   \n",
            "3     Foot Locker      1185732   2020-01-04  Northeast       New York   \n",
            "4     Foot Locker      1185732   2020-01-05  Northeast       New York   \n",
            "...           ...          ...          ...        ...            ...   \n",
            "9643  Foot Locker      1185732   2021-01-24  Northeast  New Hampshire   \n",
            "9644  Foot Locker      1185732   2021-01-24  Northeast  New Hampshire   \n",
            "9645  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "9646  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "9647  Foot Locker      1185732   2021-02-22  Northeast  New Hampshire   \n",
            "\n",
            "            City                    Product Price per Unit  Units Sold  \\\n",
            "0       New York      Men's Street Footwear        $50.00       1200.0   \n",
            "1       New York    Men's Athletic Footwear        $50.00       1000.0   \n",
            "2       New York    Women's Street Footwear        $40.00       1000.0   \n",
            "3       New York  Women's Athletic Footwear        $45.00        850.0   \n",
            "4       New York              Men's Apparel        $60.00        900.0   \n",
            "...          ...                        ...            ...         ...   \n",
            "9643  Manchester              Men's Apparel        $50.00         64.0   \n",
            "9644  Manchester            Women's Apparel        $41.00        105.0   \n",
            "9645  Manchester      Men's Street Footwear        $41.00        184.0   \n",
            "9646  Manchester    Men's Athletic Footwear        $42.00         70.0   \n",
            "9647  Manchester    Women's Street Footwear        $29.00         83.0   \n",
            "\n",
            "      Total Sales  Operating Profit  Operating Margin Sales Method  Year  \\\n",
            "0        600000.0          300000.0              0.50     In-store  2020   \n",
            "1        500000.0          150000.0              0.30     In-store  2020   \n",
            "2        400000.0          140000.0              0.35     In-store  2020   \n",
            "3        382500.0          133875.0              0.35     In-store  2020   \n",
            "4        540000.0          162000.0              0.30     In-store  2020   \n",
            "...           ...               ...               ...          ...   ...   \n",
            "9643       3200.0             896.0              0.28       Outlet  2021   \n",
            "9644       4305.0            1378.0              0.32       Outlet  2021   \n",
            "9645       7544.0            2791.0              0.37       Outlet  2021   \n",
            "9646       2940.0            1235.0              0.42       Outlet  2021   \n",
            "9647       2407.0             650.0              0.27       Outlet  2021   \n",
            "\n",
            "      Month  YOY Profit  Revenue SPLY  \n",
            "0         1         NaN           0.0  \n",
            "1         1  -50.000000           0.0  \n",
            "2         1   -6.666667           0.0  \n",
            "3         1   -4.375000           0.0  \n",
            "4         1   21.008403           0.0  \n",
            "...     ...         ...           ...  \n",
            "9643      1   90.233546    16253746.0  \n",
            "9644      1   53.794643    16253746.0  \n",
            "9645      2  102.539913    14997988.0  \n",
            "9646      2  -55.750627    14997988.0  \n",
            "9647      2  -47.368421    14997988.0  \n",
            "\n",
            "[9648 rows x 17 columns]\n"
          ]
        }
      ],
      "source": [
        "# Calculate revenue for the same period last year\n",
        "revenue_SPLY = []\n",
        "for index, row in adidas.iterrows():\n",
        "    same_period_last_year = adidas[(adidas['Year'] == row['Year'] - 1) & (adidas['Month'] == row['Month'])]\n",
        "    revenue_SPLY.append(same_period_last_year['Total Sales'].sum())\n",
        "\n",
        "adidas['Revenue SPLY'] = revenue_SPLY\n",
        "\n",
        "print(adidas)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L7TDcQwR0neo"
      },
      "source": [
        "#**TOTAL REVENUE**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vzCUxzJ6S1Sf",
        "outputId": "d94d88de-a5e8-4d43-ad16-4dd1e1ade0b8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Total Revenue: 899902125.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate total revenue\n",
        "total_revenue = adidas['Total Sales'].sum()\n",
        "\n",
        "print(f\"Total Revenue: {total_revenue}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pv9-W2T2M7JO"
      },
      "source": [
        "# **TOTAL SALES BY MONTH AND YEAR**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "s86AAQ5mDYtG",
        "outputId": "031e6850-7607-4a20-9629-f06298b7e102"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Year and Month with the Highest Sales:\n",
            "Year: 2021, Month: July, Sales: 78334681.0\n",
            "\n",
            "Year and Month with the Lowest Sales:\n",
            "Year: 2020, Month: December, Sales: 8026527.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate total sales by month and year\n",
        "total_sales_by_month_year = adidas.groupby(['Year', 'Month'])['Total Sales'].sum().reset_index()\n",
        "\n",
        "# Create a line chart for total sales by month and year\n",
        "plt.figure(figsize=(10, 6))\n",
        "for year in total_sales_by_month_year['Year'].unique():\n",
        "   year_data = total_sales_by_month_year[total_sales_by_month_year['Year'] == year]\n",
        "   plt.plot(year_data['Month'], year_data['Total Sales'], label=str(year), marker='o')\n",
        "\n",
        "plt.xlabel('Month')\n",
        "plt.ylabel('Total Sales')\n",
        "plt.title('Total Sales by Month and Year')\n",
        "plt.legend(title='Year')\n",
        "plt.xticks(range(1, 13), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Find the month with the highest and lowest sales across both years\n",
        "highest_sales_month = total_sales_by_month_year.loc[total_sales_by_month_year['Total Sales'].idxmax()]\n",
        "lowest_sales_month = total_sales_by_month_year.loc[total_sales_by_month_year['Total Sales'].idxmin()]\n",
        "\n",
        "# Convert numeric month to string (alphabet)\n",
        "highest_sales_month_name = calendar.month_name[int(highest_sales_month['Month'])]\n",
        "lowest_sales_month_name = calendar.month_name[int(lowest_sales_month['Month'])]\n",
        "\n",
        "# Print the month with the highest and lowest sales\n",
        "print(\"Year and Month with the Highest Sales:\")\n",
        "print(f\"Year: {int(highest_sales_month['Year'])}, Month: {highest_sales_month_name}, Sales: {highest_sales_month['Total Sales']}\")\n",
        "\n",
        "print(\"\\nYear and Month with the Lowest Sales:\")\n",
        "print(f\"Year: {int(lowest_sales_month['Year'])}, Month: {lowest_sales_month_name}, Sales: {lowest_sales_month['Total Sales']}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0mSJLcqYN-tI"
      },
      "source": [
        "# **SUM OF OPERATING PROFIT BY MONTH AND YEAR**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "background_save": true,
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "kxmhqYQ0HTzP",
        "outputId": "cc51bda2-a68c-46ca-f4eb-496ad7865a05"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Year and Month with the Highest Operating Profit:\n",
            "Year: 2021, Month: July, Operating Profit: 29137256.0\n",
            "\n",
            "Year and Month with the Lowest Operating Profit:\n",
            "Year: 2020, Month: June, Operating Profit: 2292728.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate sum of operating profit by month and year\n",
        "sum_operating_profit_by_month_year = adidas.groupby(['Year', 'Month'])['Operating Profit'].sum().reset_index()\n",
        "\n",
        "# Create a line chart for sum of operating profit by month and year\n",
        "plt.figure(figsize=(10, 6))\n",
        "for year in sum_operating_profit_by_month_year['Year'].unique():\n",
        "    year_data = sum_operating_profit_by_month_year[sum_operating_profit_by_month_year['Year'] == year]\n",
        "    plt.plot(year_data['Month'], year_data['Operating Profit'], label=str(year), marker='o')\n",
        "\n",
        "plt.xlabel('Month')\n",
        "plt.ylabel('Sum of Operating Profit')\n",
        "plt.title('Sum of Operating Profit by Month and Year')\n",
        "plt.legend(title='Year')\n",
        "plt.xticks(range(1, 13), calendar.month_name[1:])  # Use month names from calendar module\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Find the month with the highest and lowest operating profit across both years\n",
        "highest_profit_month = sum_operating_profit_by_month_year.loc[sum_operating_profit_by_month_year['Operating Profit'].idxmax()]\n",
        "lowest_profit_month = sum_operating_profit_by_month_year.loc[sum_operating_profit_by_month_year['Operating Profit'].idxmin()]\n",
        "\n",
        "# Convert numeric month to string (alphabet)\n",
        "highest_profit_month_name = calendar.month_name[int(highest_profit_month['Month'])]\n",
        "lowest_profit_month_name = calendar.month_name[int(lowest_profit_month['Month'])]\n",
        "\n",
        "# Print the month with the highest and lowest operating profit\n",
        "print(\"Year and Month with the Highest Operating Profit:\")\n",
        "print(f\"Year: {int(highest_profit_month['Year'])}, Month: {highest_profit_month_name}, Operating Profit: {highest_profit_month['Operating Profit']}\")\n",
        "\n",
        "print(\"\\nYear and Month with the Lowest Operating Profit:\")\n",
        "print(f\"Year: {int(lowest_profit_month['Year'])}, Month: {lowest_profit_month_name}, Operating Profit: {lowest_profit_month['Operating Profit']}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YCGgKGIyPnxH"
      },
      "source": [
        "# **SUM OF TOTAL SALES BY PRODUCT**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "8mzCiykJDwYx",
        "outputId": "0a273c0a-6e30-47a4-d1d4-13fce0df75b6"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "The Product with the highest total sales is: Men's Street Footwear at 208826244.0\n",
            "\n",
            "The Product with the least total sales is: Women's Athletic Footwear at 106631896.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate sum of total sales by product\n",
        "sum_total_sales_by_product = adidas.groupby('Product')['Total Sales'].sum().sort_values(ascending=False)\n",
        "\n",
        "# Create a bar plot for sum of total sales by product with blue color palette\n",
        "plt.figure(figsize=(10, 6))\n",
        "sum_total_sales_by_product.plot(kind='bar')\n",
        "plt.xlabel('Product')\n",
        "plt.ylabel('Total Sales')\n",
        "plt.title('Sum of Total Sales by Product')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Get the sales method with the highest and least sales\n",
        "highest_product = sum_total_sales_by_product.idxmax()\n",
        "least_product = sum_total_sales_by_product.idxmin()\n",
        "\n",
        "# Get the total sales for the highest and least purchase retailers\n",
        "highest_sales = sum_total_sales_by_product.max()\n",
        "least_sales = sum_total_sales_by_product.min()\n",
        "\n",
        "# Display the results\n",
        "print(f\"\\nThe Product with the highest total sales is: {highest_product} at {highest_sales}\")\n",
        "print(f\"\\nThe Product with the least total sales is: {least_product} at {least_sales}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tJFi4KstQEmG"
      },
      "source": [
        "# **SUM OF OPERATING PROFIT BY PRODUCT**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "c6N-keqbIoid",
        "outputId": "2af0d551-d764-4fe8-cba4-d6c2c748f1a3"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "The Product with the highest operating profit is: Men's Street Footwear at 82802323.0\n",
            "\n",
            "The Product with the least operating profit is: Women's Athletic Footwear at 38975843.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate sum of operating profit by product\n",
        "sum_operating_profit_by_product = adidas.groupby('Product')['Operating Profit'].sum().sort_values(ascending=False)\n",
        "\n",
        "# Create a bar chart for sum of operating profit by product\n",
        "plt.figure(figsize=(10, 6))\n",
        "sum_operating_profit_by_product.plot(kind='bar')\n",
        "plt.xlabel('Product')\n",
        "plt.ylabel('Sum of Operating Profit')\n",
        "plt.title('Sum of Operating Profit by Product')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "\n",
        "# Get the sales method with the highest and least sales\n",
        "highest_product = sum_operating_profit_by_product.idxmax()\n",
        "least_product = sum_operating_profit_by_product.idxmin()\n",
        "\n",
        "# Get the total sales for the highest and least purchase retailers\n",
        "highest_operating_profit = sum_operating_profit_by_product.max()\n",
        "least_operating_profit = sum_operating_profit_by_product.min()\n",
        "\n",
        "\n",
        "# Display the results\n",
        "print(f\"\\nThe Product with the highest operating profit is: {highest_product} at {highest_operating_profit}\")\n",
        "print(f\"\\nThe Product with the least operating profit is: {least_product} at {least_operating_profit}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gHCTx-moQOHH"
      },
      "source": [
        "# **TOP FIVE CITIES BY SALES**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "id": "_BXmwUQQI71H",
        "outputId": "c47ef765-7a0c-4e57-e3b1-fa7a13cdcccf"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Top Five Cities by Sales:\n",
            "\n",
            "Charleston : $39974797.00\n",
            "\n",
            "New York : $39801235.00\n",
            "\n",
            "San Francisco : $34539220.00\n",
            "\n",
            "Miami : $31600863.00\n",
            "\n",
            "Portland : $30545652.00\n"
          ]
        }
      ],
      "source": [
        "# Calculate total sales by city\n",
        "total_sales_by_city = adidas.groupby('City')['Total Sales'].sum().sort_values(ascending=False)\n",
        "\n",
        "# Get the top five cities by sales\n",
        "top_five_cities = total_sales_by_city.head(5)\n",
        "\n",
        "# Create a bar chart for top five cities by sales\n",
        "plt.figure(figsize=(10, 6))\n",
        "top_five_cities.plot(kind='bar')\n",
        "plt.xlabel('City')\n",
        "plt.ylabel('Total Sales')\n",
        "plt.title('Top Five Cities by Sales')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Print the top five cities and their sales values\n",
        "print(\"\\nTop Five Cities by Sales:\")\n",
        "for city, sales in top_five_cities.items():\n",
        "    print(f\"\\n{city} : ${sales:.2f}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EAt4s4-xQZQJ"
      },
      "source": [
        "# **BOTTOM FIVE CITIES BY SALES**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 387
        },
        "id": "q8wfDnoVJZGw",
        "outputId": "4c0372ee-a6af-43a0-8eb7-51c730147e0b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "Bottom Five Cities by Sales:\n",
            "\n",
            "Omaha: $5929038.00\n",
            "\n",
            "Minneapolis: $7378068.00\n",
            "\n",
            "Des Moines: $7424011.00\n",
            "\n",
            "Milwaukee: $7727469.00\n",
            "\n",
            "Fargo: $7735580.00\n"
          ]
        }
      ],
      "source": [
        "# Calculate total sales by city\n",
        "total_sales_by_city = adidas.groupby('City')['Total Sales'].sum().sort_values()\n",
        "\n",
        "# Get the bottom five cities by sales\n",
        "bottom_five_cities = total_sales_by_city.head(5)\n",
        "\n",
        "# Create a bar chart for bottom five cities by sales\n",
        "plt.figure(figsize=(10, 6))\n",
        "bottom_five_cities.plot(kind='bar')\n",
        "plt.xlabel('City')\n",
        "plt.ylabel('Total Sales')\n",
        "plt.title('Bottom Five Cities by Sales')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Print the top five cities and their sales values\n",
        "print(\"\\nBottom Five Cities by Sales:\")\n",
        "for city, sales in bottom_five_cities.items():\n",
        "    print(f\"\\n{city}: ${sales:.2f}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RsAJSAQTQizu"
      },
      "source": [
        "# **SUM OF TOTAL SALES BY SALES METHOD**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 380
        },
        "id": "vv_n4Pa_MG4r",
        "outputId": "7fee4498-ac69-4002-dda6-11d47c87ba1e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "The Sales Method with the highest sales is: In-store at 356643750.0\n",
            "\n",
            "The Sales Method with the least sales is: Online at 247672882.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate sum of total sales by sales method\n",
        "sum_total_sales_by_method = adidas.groupby('Sales Method')['Total Sales'].sum()\n",
        "\n",
        "\n",
        "# Create a doughnut chart for sum of total sales by sales method\n",
        "plt.figure(figsize=(8, 8))\n",
        "plt.pie(sum_total_sales_by_method, labels=sum_total_sales_by_method.index, autopct='%1.0f%%', startangle=90, wedgeprops=dict(width=0.4))\n",
        "centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
        "fig = plt.gcf()\n",
        "fig.gca().add_artist(centre_circle)\n",
        "plt.title('Sum of Total Sales by Sales Method')\n",
        "plt.axis('equal')\n",
        "\n",
        "# Add legend with sales methods and colors\n",
        "plt.legend(labels=sum_total_sales_by_method.index, loc='best', bbox_to_anchor=(1.25, 1))\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Get the sales method with the highest and least sales\n",
        "highest_sales_method = sum_total_sales_by_method.idxmax()\n",
        "least_sales_method = sum_total_sales_by_method.idxmin()\n",
        "\n",
        "# Get the total sales for the highest and least sales method\n",
        "highest_sales_total = sum_total_sales_by_method.max()\n",
        "least_sales_total = sum_total_sales_by_method.min()\n",
        "\n",
        "\n",
        "# Display the results\n",
        "print(f\"\\nThe Sales Method with the highest sales is: {highest_sales_method} at {highest_sales_total}\")\n",
        "print(f\"\\nThe Sales Method with the least sales is: {least_sales_method} at {least_sales_total}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Aton2TYAQskx"
      },
      "source": [
        "# **HIGHEST AND LEAST PURCHASES BY RETAILER**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 233
        },
        "id": "GkMT1qP6Uu2X",
        "outputId": "3ce5d21c-c160-4d93-c47a-49ef57b0e54f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The retailer with the highest purchase is: West Gear at 625262.0\n",
            "The retailer with the least purchase is: Amazon at 197990.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate total purchases by retailer\n",
        "total_purchases_by_retailer = adidas.groupby('Retailer')['Units Sold'].sum().sort_values(ascending=False)\n",
        "\n",
        "# Get the retailer with highest and least purchases\n",
        "highest_purchases_retailer = total_purchases_by_retailer.idxmax()\n",
        "least_purchases_retailer = total_purchases_by_retailer.idxmin()\n",
        "\n",
        "# Create a bar chart for total purchases by retailer\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.bar(total_purchases_by_retailer.index, total_purchases_by_retailer.values)\n",
        "plt.xlabel('Retailer')\n",
        "plt.ylabel('Total Purchases')\n",
        "plt.title('Total Purchases by Retailer')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "\n",
        "# Get the retailer with the highest and least purchases\n",
        "highest_purchase_retailer = total_purchases_by_retailer.idxmax()\n",
        "least_purchase_retailer = total_purchases_by_retailer.idxmin()\n",
        "\n",
        "# Get the total sales for the highest and least purchase retailers\n",
        "highest_units_sold = total_purchases_by_retailer.max()\n",
        "least_units_sold = total_purchases_by_retailer.min()\n",
        "\n",
        "# Display the results\n",
        "print(f\"The retailer with the highest purchase is: {highest_purchase_retailer} at {highest_units_sold}\")\n",
        "print(f\"The retailer with the least purchase is: {least_purchase_retailer} at {least_units_sold}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NLkh47tCRWoN"
      },
      "source": [
        "# **SUM OF OPERATING PROFIT BY SALES METHOD**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 344
        },
        "id": "84ZJ1KnhWryh",
        "outputId": "4a14adbe-bdb2-4f20-91ba-ca73811e5702"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The Sales Method with the highest Operating profit is: In-store at 127591382.0\n",
            "The Sales Method with the least Operating profit is: Online at 96555337.0\n"
          ]
        }
      ],
      "source": [
        "# Calculate sum of operating profit by sales method\n",
        "sum_operating_profit_by_method = adidas.groupby('Sales Method')['Operating Profit'].sum()\n",
        "\n",
        "\n",
        "# Create a doughnut chart for sum of operating profit by sales method\n",
        "plt.figure(figsize=(8, 8))\n",
        "plt.pie(sum_operating_profit_by_method, labels=sum_operating_profit_by_method.index, autopct='%1.0f%%', startangle=90, wedgeprops=dict(width=0.4))\n",
        "centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
        "fig = plt.gcf()\n",
        "fig.gca().add_artist(centre_circle)\n",
        "plt.title('Sum of Operating Profit by Sales Method')\n",
        "plt.axis('equal')\n",
        "\n",
        "# Add legend with sales methods and colors\n",
        "plt.legend(labels=sum_total_sales_by_method.index, loc='best', bbox_to_anchor=(1.25, 1))\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# Get the sales method with the highest and least operating profit\n",
        "highest_sales_method = sum_operating_profit_by_method.idxmax()\n",
        "least_sales_method = sum_operating_profit_by_method.idxmin()\n",
        "\n",
        "# Get the operating profit for the highest and least sales method\n",
        "highest_operating_profit = sum_operating_profit_by_method.max()\n",
        "least_operating_profit = sum_operating_profit_by_method.min()\n",
        "\n",
        "\n",
        "# Display the results\n",
        "print(f\"The Sales Method with the highest Operating profit is: {highest_sales_method} at {highest_operating_profit}\")\n",
        "print(f\"The Sales Method with the least Operating profit is: {least_sales_method} at {least_operating_profit}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IjN8D-4VRjT0"
      },
      "source": [
        "# **SUM OF TOTAL SALES BY REGION**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "id": "T5pAS-z4-XHF",
        "outputId": "7e68fe1e-cea7-47ee-f3ae-74f8c7e62456"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The region with the highest sales is: West at 269943182.0\n",
            "The region with the least sales is: Midwest at 135800459.0\n"
          ]
        }
      ],
      "source": [
        "#Calculate sum of total sales by Region\n",
        "Region_sales = adidas.groupby('Region')['Total Sales'].sum().sort_values(ascending=False)\n",
        "\n",
        "# Create a doughnut chart for sum of total sales by region\n",
        "plt.figure(figsize=(8, 8))\n",
        "plt.pie(Region_sales, labels=Region_sales.index, autopct='%1.0f%%', startangle=90, wedgeprops=dict(width=0.4))\n",
        "centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
        "fig = plt.gcf()\n",
        "fig.gca().add_artist(centre_circle)\n",
        "plt.title('Sum of Total Sales by Region')\n",
        "plt.axis('equal')\n",
        "\n",
        "# Add legend with region and colors\n",
        "plt.legend(labels=Region_sales.index, loc='best', bbox_to_anchor=(1.25, 1))\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "\n",
        "# Get the region with the highest and least sales\n",
        "highest_region_sales = Region_sales.idxmax()\n",
        "least_region_sales = Region_sales.idxmin()\n",
        "\n",
        "# Get the total sales for the highest and least region\n",
        "highest_sales = Region_sales.max()\n",
        "least_sales= Region_sales.min()\n",
        "\n",
        "# Display the results\n",
        "print(f\"The region with the highest sales is: {highest_region_sales} at {highest_sales}\")\n",
        "print(f\"The region with the least sales is: {least_region_sales} at {least_sales}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bJgvbraugtRW"
      },
      "source": [
        "# **EXPLORE SALES TREND OVER TIME**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 292
        },
        "id": "yyGEusnWghgl",
        "outputId": "82030fd9-8250-4249-d0f5-867c02b0d3c1"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "These sales follow a seasonality.\n",
            "\n",
            "These sales do not follow a trend.\n"
          ]
        }
      ],
      "source": [
        "# Group by month and calculate total sales for each month\n",
        "monthly_sales = adidas.groupby(adidas['Invoice Date'].dt.to_period('M'))['Total Sales'].sum()\n",
        "\n",
        "# Convert the index (which is of type 'Period') to DateTime objects\n",
        "monthly_sales.index = monthly_sales.index.to_timestamp()\n",
        "\n",
        "# Plot the sales trends over time\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.plot(monthly_sales.index, monthly_sales.values, marker='o')\n",
        "plt.xlabel('Month')\n",
        "plt.ylabel('Total Sales')\n",
        "plt.title('Monthly Sales Trends')\n",
        "plt.xticks(rotation=45)\n",
        "plt.grid(True)\n",
        "plt.show()\n",
        "\n",
        "# Analyze the sales trends\n",
        "diff = monthly_sales.diff()  # Calculate the difference between consecutive months\n",
        "seasonality_threshold = 10000 # Adjust this threshold based on your data and context\n",
        "\n",
        "# Check for seasonality\n",
        "if (diff > seasonality_threshold).any():\n",
        "    print(\"\\nThese sales follow a seasonality.\")\n",
        "else:\n",
        "    print(\"These sales do not follow a seasonality.\")\n",
        "\n",
        "# Check for trend\n",
        "if (diff > 0).all() or (diff < 0).all():\n",
        "    print(\"These sales follow a trend.\")\n",
        "else:\n",
        "    print(\"\\nThese sales do not follow a trend.\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-YQpk5ZPzSJC"
      },
      "source": [
        "#**PREDICT SALES FOR THE NEXT 12 MONTHS**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 177
        },
        "id": "fS8begSWyzG6",
        "outputId": "4b1be915-002c-4b8f-b1e1-035c1b651fd0"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Fit the ARIMA model to the data\n",
        "model = ARIMA(monthly_sales, order=(2,1,2))  # Order: (p, d, q)\n",
        "model_fit = model.fit()\n",
        "\n",
        "# Make predictions for the next 12 months\n",
        "forecast_steps = 12\n",
        "forecast = model_fit.forecast(steps=forecast_steps)\n",
        "\n",
        "#Visualize the actual sales data and the forecasted values for the next months.\n",
        "\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(monthly_sales.index, monthly_sales.values, marker='o', label='Actual Sales')\n",
        "plt.plot(pd.date_range(start=monthly_sales.index[-1], periods=forecast_steps+1, freq='M')[1:], forecast, marker='o', label='Forecasted Sales')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Total Sales')\n",
        "plt.title('Monthly Sales Forecast')\n",
        "plt.legend()\n",
        "plt.xticks(rotation=45)\n",
        "plt.grid(True)\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}