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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Customer sales analysis in Iran"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![Customer](https://www.eiu.com/n/wp-content/uploads/2024/07/GettyImages-1371981344-scaled-1.jpg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#  Import libraries and Dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "warnings.simplefilter(action='ignore')\n",
+    "plt.style.use('seaborn')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import jdatetime"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from scipy.stats import skew\n",
+    "from sklearn.cluster import KMeans\n",
+    "from sklearn.preprocessing import StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(pd.read_csv('Stores_Transactions.csv'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>transaction_id</th>\n",
+       "      <th>transaction_date</th>\n",
+       "      <th>transaction_time</th>\n",
+       "      <th>store</th>\n",
+       "      <th>product_name</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit_price</th>\n",
+       "      <th>total_price</th>\n",
+       "      <th>total_amount</th>\n",
+       "      <th>total_items</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1403-01-01</td>\n",
+       "      <td>23:38:58</td>\n",
+       "      <td>Jewelry Store</td>\n",
+       "      <td>Jewelry Store Product 38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1658456.89</td>\n",
+       "      <td>1658456.89</td>\n",
+       "      <td>1658456.89</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1403-01-02</td>\n",
+       "      <td>16:41:29</td>\n",
+       "      <td>Electronics Store</td>\n",
+       "      <td>Electronics Store Product 82</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1462060.36</td>\n",
+       "      <td>1462060.36</td>\n",
+       "      <td>1462060.36</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1403-01-03</td>\n",
+       "      <td>07:45:32</td>\n",
+       "      <td>Cosmetics Store</td>\n",
+       "      <td>Cosmetics Store Product 26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>105516.10</td>\n",
+       "      <td>105516.10</td>\n",
+       "      <td>323033.43</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1403-01-03</td>\n",
+       "      <td>07:45:32</td>\n",
+       "      <td>Cosmetics Store</td>\n",
+       "      <td>Cosmetics Store Product 17</td>\n",
+       "      <td>1</td>\n",
+       "      <td>217517.33</td>\n",
+       "      <td>217517.33</td>\n",
+       "      <td>323033.43</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1403-01-04</td>\n",
+       "      <td>15:22:12</td>\n",
+       "      <td>Hardware Store</td>\n",
+       "      <td>Hardware Store Product 40</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1949500.13</td>\n",
+       "      <td>1949500.13</td>\n",
+       "      <td>6191593.89</td>\n",
+       "      <td>6</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8187</th>\n",
+       "      <td>12</td>\n",
+       "      <td>306</td>\n",
+       "      <td>1403-07-25</td>\n",
+       "      <td>13:23:31</td>\n",
+       "      <td>Supermarket</td>\n",
+       "      <td>Supermarket Product 125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>44641.46</td>\n",
+       "      <td>312490.22</td>\n",
+       "      <td>1712890.34</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8188</th>\n",
+       "      <td>12</td>\n",
+       "      <td>307</td>\n",
+       "      <td>1403-07-27</td>\n",
+       "      <td>08:10:55</td>\n",
+       "      <td>Music Store</td>\n",
+       "      <td>Music Store Product 10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>71906.99</td>\n",
+       "      <td>287627.96</td>\n",
+       "      <td>404626.76</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8189</th>\n",
+       "      <td>12</td>\n",
+       "      <td>307</td>\n",
+       "      <td>1403-07-27</td>\n",
+       "      <td>08:10:55</td>\n",
+       "      <td>Music Store</td>\n",
+       "      <td>Music Store Product 34</td>\n",
+       "      <td>1</td>\n",
+       "      <td>116998.80</td>\n",
+       "      <td>116998.80</td>\n",
+       "      <td>404626.76</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8190</th>\n",
+       "      <td>12</td>\n",
+       "      <td>308</td>\n",
+       "      <td>1403-07-27</td>\n",
+       "      <td>22:01:02</td>\n",
+       "      <td>Cosmetics Store</td>\n",
+       "      <td>Cosmetics Store Product 13</td>\n",
+       "      <td>9</td>\n",
+       "      <td>445439.80</td>\n",
+       "      <td>4008958.20</td>\n",
+       "      <td>4008958.20</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8191</th>\n",
+       "      <td>12</td>\n",
+       "      <td>309</td>\n",
+       "      <td>1403-07-29</td>\n",
+       "      <td>06:45:30</td>\n",
+       "      <td>Toy Store</td>\n",
+       "      <td>Toy Store Product 31</td>\n",
+       "      <td>1</td>\n",
+       "      <td>211152.00</td>\n",
+       "      <td>211152.00</td>\n",
+       "      <td>211152.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8192 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      user_id  transaction_id transaction_date transaction_time  \\\n",
+       "0           1               1       1403-01-01         23:38:58   \n",
+       "1           1               2       1403-01-02         16:41:29   \n",
+       "2           1               3       1403-01-03         07:45:32   \n",
+       "3           1               3       1403-01-03         07:45:32   \n",
+       "4           1               4       1403-01-04         15:22:12   \n",
+       "...       ...             ...              ...              ...   \n",
+       "8187       12             306       1403-07-25         13:23:31   \n",
+       "8188       12             307       1403-07-27         08:10:55   \n",
+       "8189       12             307       1403-07-27         08:10:55   \n",
+       "8190       12             308       1403-07-27         22:01:02   \n",
+       "8191       12             309       1403-07-29         06:45:30   \n",
+       "\n",
+       "                  store                  product_name  quantity  unit_price  \\\n",
+       "0         Jewelry Store      Jewelry Store Product 38         1  1658456.89   \n",
+       "1     Electronics Store  Electronics Store Product 82         1  1462060.36   \n",
+       "2       Cosmetics Store    Cosmetics Store Product 26         1   105516.10   \n",
+       "3       Cosmetics Store    Cosmetics Store Product 17         1   217517.33   \n",
+       "4        Hardware Store     Hardware Store Product 40         1  1949500.13   \n",
+       "...                 ...                           ...       ...         ...   \n",
+       "8187        Supermarket       Supermarket Product 125         7    44641.46   \n",
+       "8188        Music Store        Music Store Product 10         4    71906.99   \n",
+       "8189        Music Store        Music Store Product 34         1   116998.80   \n",
+       "8190    Cosmetics Store    Cosmetics Store Product 13         9   445439.80   \n",
+       "8191          Toy Store          Toy Store Product 31         1   211152.00   \n",
+       "\n",
+       "      total_price  total_amount  total_items  \n",
+       "0      1658456.89    1658456.89            1  \n",
+       "1      1462060.36    1462060.36            1  \n",
+       "2       105516.10     323033.43            2  \n",
+       "3       217517.33     323033.43            2  \n",
+       "4      1949500.13    6191593.89            6  \n",
+       "...           ...           ...          ...  \n",
+       "8187    312490.22    1712890.34           31  \n",
+       "8188    287627.96     404626.76            5  \n",
+       "8189    116998.80     404626.76            5  \n",
+       "8190   4008958.20    4008958.20            9  \n",
+       "8191    211152.00     211152.00            1  \n",
+       "\n",
+       "[8192 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 148,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Preprocessing"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "user_id             0\n",
+       "transaction_id      0\n",
+       "transaction_date    0\n",
+       "transaction_time    0\n",
+       "store               0\n",
+       "product_name        0\n",
+       "quantity            0\n",
+       "unit_price          0\n",
+       "total_price         0\n",
+       "total_amount        0\n",
+       "total_items         0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 8192 entries, 0 to 8191\n",
+      "Data columns (total 11 columns):\n",
+      " #   Column            Non-Null Count  Dtype  \n",
+      "---  ------            --------------  -----  \n",
+      " 0   user_id           8192 non-null   int64  \n",
+      " 1   transaction_id    8192 non-null   int64  \n",
+      " 2   transaction_date  8192 non-null   object \n",
+      " 3   transaction_time  8192 non-null   object \n",
+      " 4   store             8192 non-null   object \n",
+      " 5   product_name      8192 non-null   object \n",
+      " 6   quantity          8192 non-null   int64  \n",
+      " 7   unit_price        8192 non-null   float64\n",
+      " 8   total_price       8192 non-null   float64\n",
+      " 9   total_amount      8192 non-null   float64\n",
+      " 10  total_items       8192 non-null   int64  \n",
+      "dtypes: float64(3), int64(4), object(4)\n",
+      "memory usage: 704.1+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>transaction_id</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit_price</th>\n",
+       "      <th>total_price</th>\n",
+       "      <th>total_amount</th>\n",
+       "      <th>total_items</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>8192.000000</td>\n",
+       "      <td>8192.000000</td>\n",
+       "      <td>8192.000000</td>\n",
+       "      <td>8.192000e+03</td>\n",
+       "      <td>8.192000e+03</td>\n",
+       "      <td>8.192000e+03</td>\n",
+       "      <td>8192.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>6.557617</td>\n",
+       "      <td>161.153320</td>\n",
+       "      <td>2.965576</td>\n",
+       "      <td>2.170055e+06</td>\n",
+       "      <td>3.426030e+06</td>\n",
+       "      <td>6.339663e+06</td>\n",
+       "      <td>8.775513</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>3.468765</td>\n",
+       "      <td>93.056739</td>\n",
+       "      <td>3.949849</td>\n",
+       "      <td>6.191959e+06</td>\n",
+       "      <td>9.584929e+06</td>\n",
+       "      <td>1.393022e+07</td>\n",
+       "      <td>9.698697</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>5.013100e+03</td>\n",
+       "      <td>5.035480e+03</td>\n",
+       "      <td>7.839930e+03</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>81.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>8.416818e+04</td>\n",
+       "      <td>1.853002e+05</td>\n",
+       "      <td>8.157042e+05</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>161.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.872106e+05</td>\n",
+       "      <td>5.467666e+05</td>\n",
+       "      <td>1.944458e+06</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>242.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>9.350427e+05</td>\n",
+       "      <td>1.939030e+06</td>\n",
+       "      <td>4.701880e+06</td>\n",
+       "      <td>10.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>12.000000</td>\n",
+       "      <td>348.000000</td>\n",
+       "      <td>48.000000</td>\n",
+       "      <td>4.999451e+07</td>\n",
+       "      <td>1.406411e+08</td>\n",
+       "      <td>1.406411e+08</td>\n",
+       "      <td>50.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           user_id  transaction_id     quantity    unit_price   total_price  \\\n",
+       "count  8192.000000     8192.000000  8192.000000  8.192000e+03  8.192000e+03   \n",
+       "mean      6.557617      161.153320     2.965576  2.170055e+06  3.426030e+06   \n",
+       "std       3.468765       93.056739     3.949849  6.191959e+06  9.584929e+06   \n",
+       "min       1.000000        1.000000     1.000000  5.013100e+03  5.035480e+03   \n",
+       "25%       4.000000       81.000000     1.000000  8.416818e+04  1.853002e+05   \n",
+       "50%       7.000000      161.000000     2.000000  2.872106e+05  5.467666e+05   \n",
+       "75%      10.000000      242.000000     3.000000  9.350427e+05  1.939030e+06   \n",
+       "max      12.000000      348.000000    48.000000  4.999451e+07  1.406411e+08   \n",
+       "\n",
+       "       total_amount  total_items  \n",
+       "count  8.192000e+03  8192.000000  \n",
+       "mean   6.339663e+06     8.775513  \n",
+       "std    1.393022e+07     9.698697  \n",
+       "min    7.839930e+03     1.000000  \n",
+       "25%    8.157042e+05     3.000000  \n",
+       "50%    1.944458e+06     5.000000  \n",
+       "75%    4.701880e+06    10.000000  \n",
+       "max    1.406411e+08    50.000000  "
+      ]
+     },
+     "execution_count": 151,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>transaction_date</th>\n",
+       "      <th>transaction_time</th>\n",
+       "      <th>store</th>\n",
+       "      <th>product_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>8192</td>\n",
+       "      <td>8192</td>\n",
+       "      <td>8192</td>\n",
+       "      <td>8192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>215</td>\n",
+       "      <td>3762</td>\n",
+       "      <td>15</td>\n",
+       "      <td>1446</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>1403-06-06</td>\n",
+       "      <td>13:24:16</td>\n",
+       "      <td>Supermarket</td>\n",
+       "      <td>Pet Store Product 10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>70</td>\n",
+       "      <td>10</td>\n",
+       "      <td>973</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       transaction_date transaction_time        store          product_name\n",
+       "count              8192             8192         8192                  8192\n",
+       "unique              215             3762           15                  1446\n",
+       "top          1403-06-06         13:24:16  Supermarket  Pet Store Product 10\n",
+       "freq                 70               10          973                    24"
+      ]
+     },
+     "execution_count": 152,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe(include='object')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" style=\"border-collapse: collapse; width: 100%; text-align: center;\">\n",
+    "    <thead>\n",
+    "        <tr style=\"background-color: #f2f2f2;\">\n",
+    "            <th>Column</th>\n",
+    "            <th>Unique Count</th>\n",
+    "            <th>Most Frequent Value</th>\n",
+    "            <th>Frequency of Most Frequent Value</th>\n",
+    "            <th>Description</th>\n",
+    "        </tr>\n",
+    "    </thead>\n",
+    "    <tbody>\n",
+    "        <tr>\n",
+    "            <td>store</td>\n",
+    "            <td>15</td>\n",
+    "            <td>Supermarket</td>\n",
+    "            <td>973</td>\n",
+    "            <td>Due to easy access, product variety, online sales growth (especially Snap Shop), and the fact that supermarket purchases are often for daily or urgent needs, supermarkets attract a lot of customers. For example, people visit supermarkets for daily grocery shopping, beverages, and other consumer goods. Given the high demand for supermarkets, they should be a key focus.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>product_name</td>\n",
+    "            <td>1446</td>\n",
+    "            <td>Pet Store Product 10</td>\n",
+    "            <td>24</td>\n",
+    "            <td>In recent years, especially in large cities, pet ownership (such as dogs, cats, birds, etc.) has become a growing trend. This has led to an increased demand for pet-related products such as food, accessories, and healthcare items. Given the high demand for this product, it should be considered a key focus.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>weekday</td>\n",
+    "            <td>7</td>\n",
+    "            <td>Saturday</td>\n",
+    "            <td>1320</td>\n",
+    "            <td>Saturday has the highest number of transactions, likely due to the start of the workweek, planning for weekly shopping, catching up on delayed purchases from Friday (a holiday), bulk purchases by businesses, increased organizational buying, salary payments leading to higher liquidity, special store discounts, and preparing school and university supplies.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>product_name_re</td>\n",
+    "            <td>15</td>\n",
+    "            <td>Supermarket Product</td>\n",
+    "            <td>973</td>\n",
+    "            <td>One of the key insights is that a large portion of purchases in Iran come from supermarkets. Considering holidays and Ramadan, supermarket purchases are likely to increase.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>transaction_date_shamsi</td>\n",
+    "            <td>215</td>\n",
+    "            <td>1403-06-06</td>\n",
+    "            <td>70</td>\n",
+    "            <td>This date has been repeated multiple times, possibly due to a weekly holiday in September.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>month_of_year</td>\n",
+    "            <td>8</td>\n",
+    "            <td>Ordibehesht (May)</td>\n",
+    "            <td>1251</td>\n",
+    "            <td>Since data is available for only 8 months, and considering that this month coincided with Ramadan, people made significantly more purchases. This suggests that Ramadan is a crucial target period for sales.</td>\n",
+    "        </tr>\n",
+    "    </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.ensemble import IsolationForest\n",
+    "\n",
+    "model = IsolationForest(contamination=0.05) \n",
+    "\n",
+    "df['anomaly'] = model.fit_predict(df[['total_amount']])\n",
+    "\n",
+    "anomaly=df[df['anomaly'] == -1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The number of outliers is the data rate : 408\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'The number of outliers is the data rate : {len(anomaly)}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# EDA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"transaction_date\"] = df[\"transaction_date\"].apply(lambda x: jdatetime.datetime.strptime(x, \"%Y-%m-%d\").togregorian())\n",
+    "df[\"transaction_date\"] = pd.to_datetime(df[\"transaction_date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# df[\"transaction_date\"] = pd.to_datetime(df[\"transaction_date\"], format=\"%Y-%m-%d\")\n",
+    "df[\"transaction_time\"] = pd.to_datetime(df[\"transaction_time\"], format=\"%H:%M:%S\").dt.time\n",
+    "\n",
+    "df[\"weekday\"] = df[\"transaction_date\"].dt.day_name()\n",
+    "df[\"hour\"] = pd.to_datetime(df[\"transaction_time\"], format=\"%H:%M:%S\").dt.hour"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "df[\"transaction_date_shamsi\"] = df[\"transaction_date\"].apply(lambda x: jdatetime.date.fromgregorian(year=x.year, \n",
+    "                                                                                                    month=x.month, day=x.day))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# df[\"transaction_date\"] = df[\"transaction_date\"].apply(lambda x: jdatetime.datetime.strptime(x, \"%Y-%m-%d\").togregorian())\n",
+    "# df[\"transaction_date\"] = pd.to_datetime(df[\"transaction_date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"product_name_re\"] = df[\"product_name\"].str.replace(r'\\d+', '', regex=True).str.strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"transaction_date_shamsi\"] = df[\"transaction_date\"].apply(lambda x: jdatetime.date.fromgregorian(year=x.year, \n",
+    "                                                                                                    month=x.month, day=x.day))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"month_of_year\"] = df[\"transaction_date\"].dt.month_name()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"day\"] = df[\"transaction_date\"].dt.day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"month_of_year\"].value_counts().plot.pie(autopct='%1.1f%%')\n",
+    "plt.title('Distribution of Purchases by Month')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" style=\"border-collapse: collapse; width: 100%; text-align: center;\">\n",
+    "    <thead>\n",
+    "        <tr style=\"background-color: #f2f2f2;\">\n",
+    "            <th>Months</th>\n",
+    "            <th>Analysis</th>\n",
+    "            <th>Conclusion</th>\n",
+    "        </tr>\n",
+    "    </thead>\n",
+    "    <tbody>\n",
+    "        <tr>\n",
+    "            <td>Highest purchases in May</td>\n",
+    "            <td>This month has the highest number of purchases, possibly due to special occasions, discounts, or increased seasonal demand.</td>\n",
+    "            <td>Planning for increased advertising and special discounts is essential in this month due to Ramadan and increased family purchases for Iftar and Suhoor.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Lowest purchases in March</td>\n",
+    "            <td>Contrary to expectations, purchases in March were low. This may be due to Nowruz holidays, reduced stock availability, or rising prices.</td>\n",
+    "            <td>Due to the Nowruz holidays, sales have declined in this month. This should be considered when planning, as sales tend to be low during this period.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>April, July, and August</td>\n",
+    "            <td>These months have the highest purchases after May, indicating increased demand during this period.</td>\n",
+    "            <td>In April, due to Nowruz and Ramadan, and in July and August, due to family vacations and increased demand for summer-related products (e.g., air conditioners and bottled water), sales have increased.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Lower purchases in June and October</td>\n",
+    "            <td>These months show a decline in purchases compared to others, possibly due to seasonal demand or economic factors.</td>\n",
+    "            <td>In June, this might be due to the start of student exams, and in October, families may have lower budgets after heavy spending on school supplies in September. Stores should consider offering special discounts to attract customers.</td>\n",
+    "        </tr>\n",
+    "    </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df['weekday'].value_counts().plot.pie(autopct='%1.1f%%')\n",
+    "plt.title('Distribution of Transactions by Weekday')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" style=\"border-collapse: collapse; width: 100%; text-align: center;\">\n",
+    "    <thead>\n",
+    "        <tr style=\"background-color: #f2f2f2;\">\n",
+    "            <th>Day of the Week</th>\n",
+    "            <th>Percentage of Transactions</th>\n",
+    "            <th>Analysis & Explanation</th>\n",
+    "        </tr>\n",
+    "    </thead>\n",
+    "    <tbody>\n",
+    "        <tr>\n",
+    "            <td>Saturday</td>\n",
+    "            <td>16.1%</td>\n",
+    "            <td>Start of the week and the first working day; people make essential purchases after the weekend.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Wednesday</td>\n",
+    "            <td>15.1%</td>\n",
+    "            <td>Close to the weekend, a suitable time for weekly shopping and preparation for holidays.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Tuesday</td>\n",
+    "            <td>14.2%</td>\n",
+    "            <td>A relatively high transaction day, likely due to mid-week shopping by consumers.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Friday</td>\n",
+    "            <td>14.0%</td>\n",
+    "            <td>A public holiday; some businesses are closed, but families go out for leisure shopping.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Monday</td>\n",
+    "            <td>13.7%</td>\n",
+    "            <td>A day with fewer transactions; people are usually adapting to their work schedules.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Sunday</td>\n",
+    "            <td>13.6%</td>\n",
+    "            <td>Low transaction volume, similar to Monday, as people do not make essential purchases.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Thursday</td>\n",
+    "            <td>13.2%</td>\n",
+    "            <td>The lowest transaction volume; some offices and businesses are closed, leading to reduced shopping activity.</td>\n",
+    "        </tr>\n",
+    "    </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df['product_name_re'].value_counts().plot.pie(autopct='%1.1f%%')\n",
+    "plt.title (\"Distribution of transactions based on each product name\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" style=\"border-collapse: collapse; width: 100%; text-align: center;\">\n",
+    "    <thead>\n",
+    "        <tr style=\"background-color: #f2f2f2;\">\n",
+    "            <th>Product Category</th>\n",
+    "            <th>Share of Total Sales (%)</th>\n",
+    "            <th>Analysis & Recommendations</th>\n",
+    "        </tr>\n",
+    "    </thead>\n",
+    "    <tbody>\n",
+    "        <tr>\n",
+    "            <td>Supermarket Product</td>\n",
+    "            <td>11.9%</td>\n",
+    "            <td>Highest share; focus on special discounts and online shopping is recommended.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Chain Store Product</td>\n",
+    "            <td>9.5%</td>\n",
+    "            <td>High sales; use of promotional campaigns and discount festivals is advisable.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Toy Store Product</td>\n",
+    "            <td>8.7%</td>\n",
+    "            <td>High demand; consider seasonal discounts and events like Children’s Day.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Clothing Store Product</td>\n",
+    "            <td>7.3%</td>\n",
+    "            <td>Medium sales; increasing discounts during seasonal changes could be effective.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Cosmetics Store Product</td>\n",
+    "            <td>6.8%</td>\n",
+    "            <td>Stable but lower than supermarkets; influencer marketing can be impactful.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Pet Store Product</td>\n",
+    "            <td>6.7%</td>\n",
+    "            <td>Growing demand; offering bundle and subscription discounts can increase sales.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Music Store Product</td>\n",
+    "            <td>6.3%</td>\n",
+    "            <td>Needs more support; cultural festival promotions can help boost sales.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Sporting Goods Store Product</td>\n",
+    "            <td>6.3%</td>\n",
+    "            <td>Special promotions for sports events are recommended.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Hardware Store Product</td>\n",
+    "            <td>6.2%</td>\n",
+    "            <td>Niche market; focusing on B2B advertising would be more effective.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Electronics Store Product</td>\n",
+    "            <td>4.8%</td>\n",
+    "            <td>High price reduces repeat purchases; offering installment plans and warranties is recommended.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Bookstore Product</td>\n",
+    "            <td>5.2%</td>\n",
+    "            <td>Medium sales; increasing exhibition discounts and offering free shipping can be effective.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Furniture Store Product</td>\n",
+    "            <td>4.6%</td>\n",
+    "            <td>Limited market; offering discounts on bulk purchases or installment plans would be beneficial.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Jewelry Store Product</td>\n",
+    "            <td>4.5%</td>\n",
+    "            <td>Lower purchases due to high price; offering special campaigns and installment options is recommended.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Home Appliance Store Product</td>\n",
+    "            <td>4.1%</td>\n",
+    "            <td>High-priced and less frequent purchases; installment plans are suggested.</td>\n",
+    "        </tr>\n",
+    "    </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "hourly_purchases = df.groupby(\"hour\")[\"transaction_id\"].nunique().reset_index()\n",
+    "hourly_purchases.rename(columns={\"transaction_id\": \"purchase_count\"}, inplace=True)\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "sns.barplot(data=hourly_purchases, x=\"hour\", y=\"purchase_count\", palette=\"coolwarm\")\n",
+    "plt.title(\"Purchases by Hour of the Day\")\n",
+    "plt.xlabel(\"Hour of Day\")\n",
+    "plt.ylabel(\"Number of Purchases\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" style=\"border-collapse: collapse; width: 100%; text-align: center;\">\n",
+    "    <thead>\n",
+    "        <tr style=\"background-color: #f2f2f2;\">\n",
+    "            <th>Hour</th>\n",
+    "            <th>Purchase Volume</th>\n",
+    "            <th>Analysis Based on Iranian Buying Behavior</th>\n",
+    "        </tr>\n",
+    "    </thead>\n",
+    "    <tbody>\n",
+    "        <tr>\n",
+    "            <td>00:00 - 03:00</td>\n",
+    "            <td>High</td>\n",
+    "            <td>Night purchases due to online discounts and late-night users' activity.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>04:00 - 06:00</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Decrease in purchases due to people's sleep time.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>07:00 - 09:00</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Morning purchases from working individuals and homemakers.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>10:00 - 12:00</td>\n",
+    "            <td>High</td>\n",
+    "            <td>Increase in purchases due to daily activities and greater internet access.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>13:00 - 15:00</td>\n",
+    "            <td>Medium to Low</td>\n",
+    "            <td>Decrease in purchases due to post-lunch rest.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>16:00 - 18:00</td>\n",
+    "            <td>Peak</td>\n",
+    "            <td>Peak shopping hours due to the end of office hours and users' leisure time.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>19:00 - 21:00</td>\n",
+    "            <td>High</td>\n",
+    "            <td>Family shopping and preparation for the next day.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>22:00 - 23:00</td>\n",
+    "            <td>High</td>\n",
+    "            <td>Increase in last-minute purchases and usage of end-of-day special offers.</td>\n",
+    "        </tr>\n",
+    "    </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "daily_purchases = df.groupby(\"day\")[\"transaction_id\"].nunique().reset_index()\n",
+    "daily_purchases.rename(columns={\"transaction_id\": \"purchase_count\"}, inplace=True)\n",
+    "\n",
+    "plt.figure(figsize=(10, 5))\n",
+    "sns.barplot(data=daily_purchases, x=\"day\", y=\"purchase_count\", palette=\"coolwarm\")\n",
+    "plt.title(\"Purchases by Number of the Day\")\n",
+    "plt.xlabel(\"Number of Day\")\n",
+    "plt.ylabel(\"Number of Purchases\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" style=\"border-collapse: collapse; width: 100%; text-align: center;\">\n",
+    "    <thead>\n",
+    "        <tr style=\"background-color: #f2f2f2;\">\n",
+    "            <th>Day of the Month</th>\n",
+    "            <th>Purchase Volume</th>\n",
+    "            <th>Analysis Based on Iranian Buying Behavior</th>\n",
+    "        </tr>\n",
+    "    </thead>\n",
+    "    <tbody>\n",
+    "        <tr>\n",
+    "            <td>1 - 5</td>\n",
+    "            <td>Medium to Low</td>\n",
+    "            <td>Limited purchases due to the beginning of the month and essential cost payments.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>6 - 10</td>\n",
+    "            <td>Medium to High</td>\n",
+    "            <td>Increased purchases as a few days have passed since receiving salaries and settling debts.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>11 - 13</td>\n",
+    "            <td>Peak</td>\n",
+    "            <td>Highest purchase volume, usually after employees and workers receive their salaries.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>14 - 17</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Decrease in purchases due to completing major purchases in earlier days.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>18 - 21</td>\n",
+    "            <td>Peak</td>\n",
+    "            <td>Increase in purchases again, likely due to mid-month discounts.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>22 - 26</td>\n",
+    "            <td>Medium to High</td>\n",
+    "            <td>Planned purchases for the end of the month.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>27 - 30</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Essential purchases before the household budget runs out.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>31</td>\n",
+    "            <td>Severe Drop</td>\n",
+    "            <td>Lowest purchase volume due to the end of the monthly budget and waiting for the next month.</td>\n",
+    "        </tr>\n",
+    "    </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.groupby('month_of_year')['total_amount'].sum().sort_values(ascending=False).plot.barh()\n",
+    "plt.title('Total Amount by Month')\n",
+    "\n",
+    "plt.xlabel('Total Amount')\n",
+    "plt.ylabel('Month of Year')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As previously mentioned, in the months of April and May, there is a lot of customer shopping due to Nowruz and Ramadan, and in the month of September, due to the reopening of schools in October, family shopping has increased. In months like July and August, attention should be paid to the next steps. Due to the start of family travel and the need for supplies in the summer season, such as buying mineral water, coolers, and clothes like T-shirts, Iranian families' shopping increases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>transaction_id</th>\n",
+       "      <th>transaction_date</th>\n",
+       "      <th>transaction_time</th>\n",
+       "      <th>store</th>\n",
+       "      <th>product_name</th>\n",
+       "      <th>quantity</th>\n",
+       "      <th>unit_price</th>\n",
+       "      <th>total_price</th>\n",
+       "      <th>total_amount</th>\n",
+       "      <th>total_items</th>\n",
+       "      <th>anomaly</th>\n",
+       "      <th>weekday</th>\n",
+       "      <th>hour</th>\n",
+       "      <th>transaction_date_shamsi</th>\n",
+       "      <th>product_name_re</th>\n",
+       "      <th>month_of_year</th>\n",
+       "      <th>day</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2024-03-20</td>\n",
+       "      <td>23:38:58</td>\n",
+       "      <td>Jewelry Store</td>\n",
+       "      <td>Jewelry Store Product 38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1658456.89</td>\n",
+       "      <td>1658456.89</td>\n",
+       "      <td>1658456.89</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>23</td>\n",
+       "      <td>1403-01-01</td>\n",
+       "      <td>Jewelry Store Product</td>\n",
+       "      <td>March</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2024-03-21</td>\n",
+       "      <td>16:41:29</td>\n",
+       "      <td>Electronics Store</td>\n",
+       "      <td>Electronics Store Product 82</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1462060.36</td>\n",
+       "      <td>1462060.36</td>\n",
+       "      <td>1462060.36</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Thursday</td>\n",
+       "      <td>16</td>\n",
+       "      <td>1403-01-02</td>\n",
+       "      <td>Electronics Store Product</td>\n",
+       "      <td>March</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2024-03-22</td>\n",
+       "      <td>07:45:32</td>\n",
+       "      <td>Cosmetics Store</td>\n",
+       "      <td>Cosmetics Store Product 26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>105516.10</td>\n",
+       "      <td>105516.10</td>\n",
+       "      <td>323033.43</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1403-01-03</td>\n",
+       "      <td>Cosmetics Store Product</td>\n",
+       "      <td>March</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2024-03-22</td>\n",
+       "      <td>07:45:32</td>\n",
+       "      <td>Cosmetics Store</td>\n",
+       "      <td>Cosmetics Store Product 17</td>\n",
+       "      <td>1</td>\n",
+       "      <td>217517.33</td>\n",
+       "      <td>217517.33</td>\n",
+       "      <td>323033.43</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1403-01-03</td>\n",
+       "      <td>Cosmetics Store Product</td>\n",
+       "      <td>March</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2024-03-23</td>\n",
+       "      <td>15:22:12</td>\n",
+       "      <td>Hardware Store</td>\n",
+       "      <td>Hardware Store Product 40</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1949500.13</td>\n",
+       "      <td>1949500.13</td>\n",
+       "      <td>6191593.89</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Saturday</td>\n",
+       "      <td>15</td>\n",
+       "      <td>1403-01-04</td>\n",
+       "      <td>Hardware Store Product</td>\n",
+       "      <td>March</td>\n",
+       "      <td>23</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",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8187</th>\n",
+       "      <td>12</td>\n",
+       "      <td>306</td>\n",
+       "      <td>2024-10-16</td>\n",
+       "      <td>13:23:31</td>\n",
+       "      <td>Supermarket</td>\n",
+       "      <td>Supermarket Product 125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>44641.46</td>\n",
+       "      <td>312490.22</td>\n",
+       "      <td>1712890.34</td>\n",
+       "      <td>31</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>13</td>\n",
+       "      <td>1403-07-25</td>\n",
+       "      <td>Supermarket Product</td>\n",
+       "      <td>October</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8188</th>\n",
+       "      <td>12</td>\n",
+       "      <td>307</td>\n",
+       "      <td>2024-10-18</td>\n",
+       "      <td>08:10:55</td>\n",
+       "      <td>Music Store</td>\n",
+       "      <td>Music Store Product 10</td>\n",
+       "      <td>4</td>\n",
+       "      <td>71906.99</td>\n",
+       "      <td>287627.96</td>\n",
+       "      <td>404626.76</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1403-07-27</td>\n",
+       "      <td>Music Store Product</td>\n",
+       "      <td>October</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8189</th>\n",
+       "      <td>12</td>\n",
+       "      <td>307</td>\n",
+       "      <td>2024-10-18</td>\n",
+       "      <td>08:10:55</td>\n",
+       "      <td>Music Store</td>\n",
+       "      <td>Music Store Product 34</td>\n",
+       "      <td>1</td>\n",
+       "      <td>116998.80</td>\n",
+       "      <td>116998.80</td>\n",
+       "      <td>404626.76</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1403-07-27</td>\n",
+       "      <td>Music Store Product</td>\n",
+       "      <td>October</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8190</th>\n",
+       "      <td>12</td>\n",
+       "      <td>308</td>\n",
+       "      <td>2024-10-18</td>\n",
+       "      <td>22:01:02</td>\n",
+       "      <td>Cosmetics Store</td>\n",
+       "      <td>Cosmetics Store Product 13</td>\n",
+       "      <td>9</td>\n",
+       "      <td>445439.80</td>\n",
+       "      <td>4008958.20</td>\n",
+       "      <td>4008958.20</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>22</td>\n",
+       "      <td>1403-07-27</td>\n",
+       "      <td>Cosmetics Store Product</td>\n",
+       "      <td>October</td>\n",
+       "      <td>18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8191</th>\n",
+       "      <td>12</td>\n",
+       "      <td>309</td>\n",
+       "      <td>2024-10-20</td>\n",
+       "      <td>06:45:30</td>\n",
+       "      <td>Toy Store</td>\n",
+       "      <td>Toy Store Product 31</td>\n",
+       "      <td>1</td>\n",
+       "      <td>211152.00</td>\n",
+       "      <td>211152.00</td>\n",
+       "      <td>211152.00</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1403-07-29</td>\n",
+       "      <td>Toy Store Product</td>\n",
+       "      <td>October</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8192 rows × 18 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      user_id  transaction_id transaction_date transaction_time  \\\n",
+       "0           1               1       2024-03-20         23:38:58   \n",
+       "1           1               2       2024-03-21         16:41:29   \n",
+       "2           1               3       2024-03-22         07:45:32   \n",
+       "3           1               3       2024-03-22         07:45:32   \n",
+       "4           1               4       2024-03-23         15:22:12   \n",
+       "...       ...             ...              ...              ...   \n",
+       "8187       12             306       2024-10-16         13:23:31   \n",
+       "8188       12             307       2024-10-18         08:10:55   \n",
+       "8189       12             307       2024-10-18         08:10:55   \n",
+       "8190       12             308       2024-10-18         22:01:02   \n",
+       "8191       12             309       2024-10-20         06:45:30   \n",
+       "\n",
+       "                  store                  product_name  quantity  unit_price  \\\n",
+       "0         Jewelry Store      Jewelry Store Product 38         1  1658456.89   \n",
+       "1     Electronics Store  Electronics Store Product 82         1  1462060.36   \n",
+       "2       Cosmetics Store    Cosmetics Store Product 26         1   105516.10   \n",
+       "3       Cosmetics Store    Cosmetics Store Product 17         1   217517.33   \n",
+       "4        Hardware Store     Hardware Store Product 40         1  1949500.13   \n",
+       "...                 ...                           ...       ...         ...   \n",
+       "8187        Supermarket       Supermarket Product 125         7    44641.46   \n",
+       "8188        Music Store        Music Store Product 10         4    71906.99   \n",
+       "8189        Music Store        Music Store Product 34         1   116998.80   \n",
+       "8190    Cosmetics Store    Cosmetics Store Product 13         9   445439.80   \n",
+       "8191          Toy Store          Toy Store Product 31         1   211152.00   \n",
+       "\n",
+       "      total_price  total_amount  total_items  anomaly    weekday  hour  \\\n",
+       "0      1658456.89    1658456.89            1        1  Wednesday    23   \n",
+       "1      1462060.36    1462060.36            1        1   Thursday    16   \n",
+       "2       105516.10     323033.43            2        1     Friday     7   \n",
+       "3       217517.33     323033.43            2        1     Friday     7   \n",
+       "4      1949500.13    6191593.89            6        1   Saturday    15   \n",
+       "...           ...           ...          ...      ...        ...   ...   \n",
+       "8187    312490.22    1712890.34           31        1  Wednesday    13   \n",
+       "8188    287627.96     404626.76            5        1     Friday     8   \n",
+       "8189    116998.80     404626.76            5        1     Friday     8   \n",
+       "8190   4008958.20    4008958.20            9        1     Friday    22   \n",
+       "8191    211152.00     211152.00            1        1     Sunday     6   \n",
+       "\n",
+       "     transaction_date_shamsi            product_name_re month_of_year  day  \n",
+       "0                 1403-01-01      Jewelry Store Product         March   20  \n",
+       "1                 1403-01-02  Electronics Store Product         March   21  \n",
+       "2                 1403-01-03    Cosmetics Store Product         March   22  \n",
+       "3                 1403-01-03    Cosmetics Store Product         March   22  \n",
+       "4                 1403-01-04     Hardware Store Product         March   23  \n",
+       "...                      ...                        ...           ...  ...  \n",
+       "8187              1403-07-25        Supermarket Product       October   16  \n",
+       "8188              1403-07-27        Music Store Product       October   18  \n",
+       "8189              1403-07-27        Music Store Product       October   18  \n",
+       "8190              1403-07-27    Cosmetics Store Product       October   18  \n",
+       "8191              1403-07-29          Toy Store Product       October   20  \n",
+       "\n",
+       "[8192 rows x 18 columns]"
+      ]
+     },
+     "execution_count": 169,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>month_of_year</th>\n",
+       "      <th>total_amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>April</td>\n",
+       "      <td>1.028514e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2</td>\n",
+       "      <td>August</td>\n",
+       "      <td>8.146473e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>11</td>\n",
+       "      <td>July</td>\n",
+       "      <td>9.243419e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>June</td>\n",
+       "      <td>8.144592e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>6</td>\n",
+       "      <td>March</td>\n",
+       "      <td>3.409292e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>3</td>\n",
+       "      <td>May</td>\n",
+       "      <td>1.272150e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>10</td>\n",
+       "      <td>October</td>\n",
+       "      <td>9.632148e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55</th>\n",
+       "      <td>7</td>\n",
+       "      <td>September</td>\n",
+       "      <td>1.029144e+09</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    user_id month_of_year  total_amount\n",
+       "0         1         April  1.028514e+09\n",
+       "9         2        August  8.146473e+08\n",
+       "82       11          July  9.243419e+08\n",
+       "3         1          June  8.144592e+08\n",
+       "44        6         March  3.409292e+08\n",
+       "21        3           May  1.272150e+09\n",
+       "78       10       October  9.632148e+08\n",
+       "55        7     September  1.029144e+09"
+      ]
+     },
+     "execution_count": 170,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "month_user_purchases = df.groupby(['user_id', 'month_of_year'])['total_amount'].sum().reset_index()\n",
+    "\n",
+    "max_month_purchases = month_user_purchases.loc[month_user_purchases.groupby('month_of_year')['total_amount'].idxmax()]\n",
+    "\n",
+    "max_month_purchasess = max_month_purchases.sort_values(by='month_of_year')\n",
+    "\n",
+    "max_month_purchasess"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The highest purchase occurred in May with a total of 1.272 billion Toman. April and September also had significant purchases, each exceeding 1 billion Toman. The lowest purchase was recorded in March with 349 million Toman. These data suggest that purchases were highest in May, April, and September, while the lowest occurred in March"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.groupby('product_name_re')['total_amount'].sum().sort_values(ascending=False).plot.barh()\n",
+    "plt.title('Total Amount by Product')\n",
+    "\n",
+    "plt.xlabel('Total Amount')\n",
+    "plt.ylabel('Product Name')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" style=\"border-collapse: collapse; width: 100%; text-align: center;\">\n",
+    "    <thead>\n",
+    "        <tr style=\"background-color: #f2f2f2;\">\n",
+    "            <th>Product Category</th>\n",
+    "            <th>Sales Volume</th>\n",
+    "            <th>Analysis Based on Iranian Buying Behavior</th>\n",
+    "        </tr>\n",
+    "    </thead>\n",
+    "    <tbody>\n",
+    "        <tr>\n",
+    "            <td>Jewelry</td>\n",
+    "            <td>Very High</td>\n",
+    "            <td>Luxury purchases, high demand for investment and gifts.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Electronics</td>\n",
+    "            <td>High</td>\n",
+    "            <td>Popular due to daily needs and technology demands.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Home Appliances</td>\n",
+    "            <td>High</td>\n",
+    "            <td>Essential purchases for homes, especially during special occasions.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Clothing</td>\n",
+    "            <td>Medium to High</td>\n",
+    "            <td>Cyclical purchases, dependent on season and discounts.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Chain Stores</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Mixed purchases with periodic discounts.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Furniture and Décor</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Dependent on seasonal changes and household needs.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Hardware Stores</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Specific demand for repairs and renovations.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Supermarket</td>\n",
+    "            <td>Medium</td>\n",
+    "            <td>Essential daily purchases, with high competition.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Sporting Goods</td>\n",
+    "            <td>Low</td>\n",
+    "            <td>Limited market, specific demand during sales periods.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Toys</td>\n",
+    "            <td>Low</td>\n",
+    "            <td>Dependent on specific seasons like New Year and back-to-school periods.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Cosmetics</td>\n",
+    "            <td>Low</td>\n",
+    "            <td>High competition, requires strong advertising.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Pet Stores</td>\n",
+    "            <td>Very Low</td>\n",
+    "            <td>Specific market, limited to interested individuals.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Bookstore</td>\n",
+    "            <td>Very Low</td>\n",
+    "            <td>Requires extensive advertising and attractive discounts.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Flower Shop</td>\n",
+    "            <td>Very Low</td>\n",
+    "            <td>Occasional purchases, needs special campaigns.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td>Music Store</td>\n",
+    "            <td>Very Low</td>\n",
+    "            <td>Decreased demand due to the digitalization of music.</td>\n",
+    "        </tr>\n",
+    "    </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.groupby('user_id')['total_amount'].sum().sort_values(ascending=False).head(10).plot.barh()\n",
+    "plt.title('Top 10 Users by Total Amount')\n",
+    "\n",
+    "plt.xlabel('Total Amount')\n",
+    "plt.ylabel('User ID')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Users 11, 3, and 2 have high transactions, and users 7, 10, 8, and 12 have medium transactions, and users 5, 1, and 6 have lower spending. There should be a plan for each of these groups, such as providing strong after-sales service to create a greater sense of trust, especially in expensive purchases such as home appliances and electronics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.groupby('transaction_date')['total_amount'].sum().sort_values(ascending=False).head(20).plot.barh()\n",
+    "plt.title('Top 20 Transaction Dates by Total Amount')\n",
+    "\n",
+    "plt.xlabel('Total Amount')\n",
+    "plt.ylabel('Transaction Date')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "According to data analysis, the three periods of national and religious holidays, summer season, and school reopening have the highest shopping volume in Iran. Religious holidays such as Nowruz, Eid al-Adha, and Ghadir increase the purchase of clothing, gifts, and special foods, while summer has a high demand for entertainment, digital, and clothing items due to travel and leisure. Also, September and October, with the start of schools and universities, bring a peak in the purchase of stationery, bags, shoes, and electronic devices. Therefore, focusing on special discounts, targeted advertising, and increasing the inventory of high-demand products during these periods can lead to sales growth and attract more customers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.groupby('hour')['total_amount'].sum().sort_values(ascending=False).plot.barh()\n",
+    "plt.title('Total Amount by Hour')\n",
+    "\n",
+    "plt.xlabel('Total Amount')\n",
+    "plt.ylabel('Hour')\n",
+    "\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "According to the data provided, the highest number of transactions was made at 21:00, 18:00, and 00:00 (midnight). This shows that Iranian users mostly make their purchases in the late evening and early morning hours. 6:00 and 9:00 are also among the periods with high transaction volume, which could indicate daily purchases and early business. 2:00 to 7:00 have the lowest number of transactions, which is probably due to working hours and afternoon breaks."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df['product_name'].value_counts().head(40).plot.barh()\n",
+    "plt.title('Top 40 Most Sold Products')\n",
+    "\n",
+    "plt.xlabel('Count')\n",
+    "plt.ylabel('Product Name')\n",
+    "\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "According to the data provided, products from pet stores (Pet Store), florist stores (Florist Store) and cosmetics stores have had the highest purchase volume. Among them, pet-related products such as product number 10 and 26 and florist products such as products number 49, 48 and 14 are at the top of the list and the behavioral pattern of Iranians should be taken into account. In addition, the growth of the pet products market, which indicates the increasing desire of Iranians to keep pets, and high purchases from florists can be due to special occasions such as holidays, birthdays and romantic events, and cosmetic products are also in high demand, which indicates the importance of beauty and personal care in society."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.groupby('day')['total_amount'].sum().sort_values(ascending=False).plot.barh()\n",
+    "plt.title('Total Amount by Day')\n",
+    "\n",
+    "plt.xlabel('Total Amount')\n",
+    "plt.ylabel('Day')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A study of Iranians’ shopping patterns shows that the 10th to 20th of the month have the highest transaction volume due to salary receipts and increased purchasing power, while the last days of the month (27th to 30th) also have a significant share of transactions due to planned purchases and fulfilling essential needs. Also, the early part of the month (1st to 6th) has a relatively high purchase volume due to essential purchases. Accordingly, businesses can maximize their sales and capture a greater share of the market by offering special discounts on peak shopping days, increasing advertising during high-demand periods, and optimizing inventory."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df.groupby('weekday')['total_amount'].sum().sort_values(ascending=False).plot.barh()\n",
+    "plt.title('Total Amount by Weekday')\n",
+    "\n",
+    "plt.xlabel('Total Amount')\n",
+    "plt.ylabel('Weekday')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "An examination of the number of transactions on weekdays shows that Saturdays have the highest volume of purchases, which could be due to the start of the work week and the fulfillment of new needs. Tuesdays and Wednesdays also have a high volume of transactions due to being in the middle of the week. In contrast, Mondays have the lowest volume of purchases, which is probably due to the decrease in liquidity after the initial purchases of the week. Also, Thursdays and Fridays, despite being closed, still have a high volume of transactions, which indicates an increase in family and leisure purchases at the end of the week."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>weekday</th>\n",
+       "      <th>total_amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>49</th>\n",
+       "      <td>8</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>7.833743e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Monday</td>\n",
+       "      <td>8.669420e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Saturday</td>\n",
+       "      <td>1.037192e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>7</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>1.043448e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Thursday</td>\n",
+       "      <td>1.201931e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75</th>\n",
+       "      <td>11</td>\n",
+       "      <td>Tuesday</td>\n",
+       "      <td>1.170143e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>7</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>1.281352e+09</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    user_id    weekday  total_amount\n",
+       "49        8     Friday  7.833743e+08\n",
+       "8         2     Monday  8.669420e+08\n",
+       "9         2   Saturday  1.037192e+09\n",
+       "45        7     Sunday  1.043448e+09\n",
+       "81       12   Thursday  1.201931e+09\n",
+       "75       11    Tuesday  1.170143e+09\n",
+       "48        7  Wednesday  1.281352e+09"
+      ]
+     },
+     "execution_count": 178,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "daily_user_purchases = df.groupby(['user_id', 'weekday'])['total_amount'].sum().reset_index()\n",
+    "\n",
+    "max_daily_purchases = daily_user_purchases.loc[daily_user_purchases.groupby('weekday')['total_amount'].idxmax()]\n",
+    "\n",
+    "max_daily_purchasess = max_daily_purchases.sort_values(by='weekday')\n",
+    "\n",
+    "max_daily_purchasess"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The highest purchases occurred in the middle of the week, particularly on Tuesday and Wednesday. User 7 had the highest purchase on Wednesday with 1.281 billion Toman, while User 2 made significant purchases on Monday and Saturday, each exceeding 1 billion Toman. Users 7 and 12 consistently had the highest purchases on various days, and the lowest purchase occurred on Friday with 783 million Toman, indicating fewer large purchases on that day. This suggests that heavy purchases tend to happen in the middle of the week, with users like 7 and 2 showing more consistent buying behavior."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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YyWSl3Foo5dZyKbeWS7m1XMqt5VJuLZdym7+oeCQiIiIiIiIiIplS8UhERERERERERDKl4pGIiIiIiIiIiGRKxSMREREREREREcmUikciIiIiIiIiIpIpFY9ERERERERERCRTNnkdgIj8fyutcMzrGHJRTKPreR2CiIiIiIiI/AOaeSQiIiIiIiIiIplS8UhERERERERERDKl4pH8YykpKURFReV1GI8tjY+IiIiIiIhYgjwpHgUEBBAREZHueEREBAEBAXkQUcZ27dqFm5sbY8eOzdF2w8PDCQ4OBmDTpk0EBgbmaPs54c8//+Sdd97hxRdfpEaNGvj7+/P+++9z/fr/7VszYMAANm7c+K/FFBAQQNWqVXF3d8fd3Z0aNWpQp04dJkyYQGpqao71ExwcTHh4+CO382+Pj4iIiIiIiEhu0MyjB/j444957bXXWL9+PdeuXcuVPpo3b87WrVtzpe1/KjU1lS5duvDkk0+yfft2fvzxR5YtW8Zvv/1G3759jevi4uL+9dhCQ0M5cuQIR44c4ccff2ThwoVs3LiRGTNm/OuxPExejI+IiIiIiIhITnusi0e//vor3bt3x9vbm3r16jF69Gji4+OBu7OU2rdvz4QJE/D29qZWrVosX76cNWvW4O/vj4eHByNHjjTaSkhIYMyYMfj5+VG7dm0GDBjAlStXMu373Llz7N+/n969e+Pm5sbq1avTnA8ODiYsLIygoCBq1KhBUFAQhw4dAuD8+fO4ubmxfPlyfH198fDw4J133iEhISFdP3+fbbVu3TqCgoLw8fHB3d2dkJAQYmNjgbszlvr27cugQYPw9PSkXr16TJkyxbj35s2bjBkzhtq1a+Pp6Un37t2Jjo7O9vPHxcVx+vRpAgMDcXBwAMDV1ZURI0ZQunRpUlJSGD58OIcOHWLu3Ln06NEjS/kKCgqiS5cueHp6snnzZhITE5k+fToNGjTA29ub7t27c+7cuUxzkhE3Nze8vLw4ceKEkZehQ4fi7+9P/fr1SUhIeGBcAGvXrqVBgwa4u7szZMgQbt26ZZwbOnQoQ4cOTdfngQMHAIiNjWXQoEF4eXnh4+PDgAEDuHbtWobjIyIiIiIiIpIf2eRVx6GhoXzwwQdpjiUlJVG8eHHgbgHjjTfeICgoiPDwcOLj4xk0aBCDBw9m9uzZABw+fJjGjRuzf/9+Vq1axdixY3nppZf47LPP+OOPP2jXrh3NmjXDy8uLYcOGcePGDSIiIrC3tycsLIzevXvzySefYGVllS6+jz/+mMaNG1OiRAmjUNSpUyfs7OyMa1avXs3s2bOpWbMmCxcupGfPnuzYscM4v2PHDjZv3kxKSgq9evUiNDSUSZMmZTomx44dY+zYsSxbtoxq1apx8eJFOnbsyLJly+jfv7/RZlhYGBMmTGDv3r2EhITQoEEDatSowZgxYzh16hQREREUL16cUaNG8fbbb7N69epsPX/x4sWpVasWvXv3plmzZnh6elK9enXc3NyMnI0bN47IyEi8vb3p06dPlvJ1/PhxwsLCmDNnDqmpqUybNo39+/ezZMkSnJ2dmT9/Pl26dOGzzz6jQIECD/0zlJSUxA8//MD+/fvp06ePcfy7775j7dq1FCxYkKSkpAfGtW/fPsaMGcO8efPw8vJizZo1bNy4ET8/v4f2D9CvXz8KFSrEjh07sLW1pV+/foSGhjJ16tQ04yNgY/NY16pzjbW1Kc1PsRzKreVSbi2Xcmu5lFvLpdxaLuU2f8mz4tGoUaMICgpKcywiIsJYfvTVV19ha2vLoEGDsLa2xt7envfee4/AwEBiYmIAeOKJJ+jYsSNWVlbUqVOHlJQUunbtSsGCBalatSrOzs5ER0dTvnx5Pv/8c7Zt22YUp4YNG4anpyfHjx+nSpUqaeK4efMmGzZsYOHChQA0adKEiRMnsnXrVlq1amVc17p1a2rVqgVAjx49+OSTT/j666/x9vYG4N1336VYsWIA9O3bl549ezJu3LhMx+S5555jy5YtlC1blmvXrnH58mWKFSvGpUuXjGuefvppWrZsCYCfnx9OTk6cPXuWF154ga1btzJ79mxcXFyM/s+dO8fVq1ez9fwA8+fPZ+3atXzxxResWrWKW7duUalSJQYNGkTdunXTXZ+VfNna2tKiRQtMJhNms5lVq1bx0Ucf4erqCkCvXr1Ys2YNu3btokmTJhmO0d+LjqVKlaJz5868/vrrxrF69epRsmRJ4O5MrgfFtWnTJho3bkzt2rUBaN++PWvXrs00R/eLjo7m4MGDbN++HUdHRwDCwsL466+/snT/f42jY6G8DiFPOTgUzOsQJJcot5ZLubVcyq3lUm4tl3JruZTb/CHPikcPc/XqVUqXLo21tbVxrGzZsgDGUqyiRYsas2ZMprvVynvLrO4dS01NNa5/5ZVX0vRhbW3N+fPn0xVPNm7cSHx8PG+++aZx7MaNGyxatChN8ejpp5823ltZWVGqVCmjUALw1FNPGe9dXFxITEx8YGHBZDKxbNkyNm/ezBNPPIGbmxsJCQmYzWbjGicnpzT32NrakpqayrVr10hMTKR06dLGOQcHB6pWrcqxY8ey9fwAdnZ2dOjQgQ4dOpCSksLJkydZuXIlPXr0YPPmzZQvXz7N9VnJl5OTk5Gn2NhYbt68Sb9+/YxjcHc20b3rM5JR0fHvnJ2dsxzXpUuXqFy5cpr77xWzHuZersuUKWMcc3JySpcjuSsu7kZeh5AnrK1NODgU5Pr1W6Sk5NzG7pL3lFvLpdxaLuXWcim3lku5tVzK7eMhq7/kf2yLR2XKlOHChQukpKQY//CPjIwE7v4D/fTp0xkuN8vIvVko27ZtS/MP+z/++CPDQsHKlSvp169fmiJFXFwcrVu3Zu/evdSpUwcgzYyg1NRULly4YMz6uXf+XpHl/PnzFCxY0JihkpElS5bw7bffsnnzZkqUKAGQ5f1yihcvjp2dHX/++afR59WrV5k/fz6dO3fO1vOvWbOGGTNm8PXXX2NtbY21tTWVK1dm3LhxfPnll/z222/pikfZzZejoyMFChRg0aJF1KhRwzh++vRpI1//1P39PCyuUqVKERUVleb+ixcvUrFiReBuQe/OnTvGuXv7TwFGri9cuGAUEv/44w+2bNliLDOU/5Oc/N/+CyElJfU/PwaWSrm1XMqt5VJuLZdya7mUW8ul3OYPj+3iwnt7zkyePJnbt28TExPDuHHjqFWrVpqZHllRsmRJ6tevz7hx44iLiyMpKYnZs2fTpk2bNF89D7Bv3z7Onj1Lu3btKFWqlPF6/vnnqVevHosWLTKuXbt2LT///DOJiYnMnDkTs9mMv7+/cX7KlCkkJCRw6dIlPvroI1q0aIGtrW2mcSYkJGBjY4OtrS3Jycl8+umnfPPNNyQlJT30GU0mEy1btiQ8PJxLly5x584dPvzwQ3788cdsPT9A/fr1uXPnDqNGjeLs2bOkpKTw119/sXjxYgBjWZ6dnZ2x8XR282UymWjTpg1Tpkzh4sWLpKamsmHDBpo2bZrtTbMf5GFxtW7dmi+//JKvv/6a5ORkNmzYwNGjR437K1SowKFDh7h06RK3b99m5syZRnGqZMmS+Pr6MnHiRK5fv05CQgKTJk0yilH3j4+IiIiIiIhIfvXYFo+KFCnC4sWL+e233/Dz86Np06aUKVOG6dOn/6P2Jk6ciIODAy1btqRWrVrs3r2bBQsWpFtitGLFCurVq2fsDXS/V199lW+//ZaTJ08Cd4soY8aMoVatWhw4cIBFixZRpEgR4/py5crRtGlTmjdvjru7O8OGDXtgjF26dMHFxQV/f3/q1q3Lpk2baN++Pb/99luWnnHo0KFUqVKFtm3bUrduXeLi4ozxyurzw91lX/f2OQoODsbd3Z0mTZpw5MgRVq5caezj1LJlS9avX0/79u3/Ub6GDBlC9erVad++PZ6enixZsoSPPvqIF154IUvPmxUPi8vDw4OJEycSFhaGp6cnn3/+Ob6+vsb97dq1w93dnebNm9OoUSNcXFzSLA2cPHkyhQsX5qWXXqJBgwYUK1aM0NDQdOMjIiIiIiIikl9Zme/fUEeyLDg4ONNv0jp//jwNGjTgq6++MvbXEXmolVlbhplfxTRKP8vtv8DGxoSjYyHi4m5oOq6FUW4tl3JruZRby6XcWi7l1nIpt48HJ6ciD7+Ix3jmkYiIiIiIiIiI5L3HdsNskf+c9mZV3UVEREREROSxo+LRP7R8+fJMz5UtW5Zff/31X4xGRERERERERCR3aNmaiIiIiIiIiIhkSsUjERERERERERHJlIpHIiIiIiIiIiKSKRWPREREREREREQkUyoeiYiIiIiIiIhIplQ8EhERERERERGRTKl4JCIiIiIiIiIimVLxSEREREREREREMqXikYiIiIiIiIiIZErFIxERERERERERyZSKRyIiIiIiIiIikikVj0REREREREREJFMqHomIiIiIiIiISKZUPBIRERERERERkUzZ5HUAIvL/rbTCMa9j+JfFNLqe1yGIiIiIiIjIQ2jmkYiIiIiIiIiIZErFI/nHzp49m9chPNY0PiIiIiIiImIJVDzKBREREQQEBPyrfQ4dOpShQ4fmSFuJiYlMmTKFhg0b4u7uTq1atejTpw+nTp0yrlmxYgXvvfdejvSXFUOHDqVy5cq4u7sbLy8vL/r06UNsbGyO9RMeHk5wcPAjt/Nvj4+IiIiIiIhIblHxSNJ5//33OXLkCEuWLOHIkSPs2LGDUqVK0aFDB65fv7tHTU4WbLKqWbNmHDlyxHh9/vnnXLlyhb59+/7rsTxMXoyPiIiIiIiISG5Q8ehfEBkZSY8ePfDx8cHf359p06aRmJjItWvXqFy5Mr/88gsAd+7coVq1akyaNMm4t2/fvkyfPh2A7777jjZt2uDp6UlgYCCbNm3KsL/w8HC6dOlC69at8fb2ZsaMGXh4eHDnzh3jmu3bt+Pv74/ZbE53/+HDh6lbty5ly5YFwMHBgcGDB+Pv709MTAwbNmxg7ty5HDp0CE9PTwDi4uJ47733qFOnDj4+PoSEhBjLts6fP4+bmxthYWF4eXkRGhoKwNatW2nWrBkeHh4EBQWxd+/ebI1rsWLFCAwM5Pjx4xk+9/fff//AuAB++OEHWrduTY0aNXj11Vc5f/68cS6jGWTBwcGEh4cDkJyczPTp0/Hz86NmzZp06NCBkydPZjg+IiIiIiIiIvmVvm0tl928eZNOnToRGBjI9OnTiY2NpW/fvqSmpjJw4EC8vb3Zs2cPzz//PAcPHsTKyorvvvsOuLt8bO/evfTs2ZOTJ0/Ss2dPJk2aRIMGDTh69ChvvfUWjo6O1K1bN12/+/btY9GiRVSrVg1bW1uWLVvGV199xcsvvwzAxo0badWqFVZWVunuDQwMZMaMGZw5c4ZatWpRvXp1nnnmGcaPHw9AhQoVOH/+PAcPHmT58uXA3SKXyWRiw4YNFClShOnTp9OpUye2bNlitHvjxg2+/fZbbt++ze7duxk1ahSzZ8+mZs2a7Nmzhz59+rBmzRoqVqz40HE1m82cOXOGjRs3UqdOnQyfu0CBAnTu3DnTuJKSkggJCaF79+507tyZY8eO8eabb/LCCy9kKbezZ89my5YtLFy4kGeeeYYZM2YQEhLCzp07042PZMzGxvLr19bWpjQ/xXIot5ZLubVcyq3lUm4tl3JruZTb/EXFo1y2a9cuEhMTefvtt7GyssLFxYV+/frRt29fBg4cSMOGDfnss88ICQlh7969tGvXjo8//pjY2Fh+/vlnHB0def755xk9ejQNGjSgcePGANSsWZNXXnmFFStWZFg8cnV1pXbt2sbnpk2b8umnn/Lyyy9z9epV9u7dy/DhwzOMuVevXjz//PNs3LiRCRMmEBsbi7OzM127dqVTp07pro+KiuLgwYNs3boVJycnAAYNGsTmzZvZvXs31atXB6Bly5bY2dlhZ2fHxx9/zGuvvYaXlxcA/v7+BAQEsGrVqkz3CtqyZQtffvklcLd49OSTT+Lr68ugQYMyfO6HxZWYmEjBggXp3r07VlZWeHh40Lp1a2Mm2MNs2LCBkJAQnn32WQB69uyJn59fhrO5JGOOjoXyOoR/jYNDwbwOQXKJcmu5lFvLpdxaLuXWcim3lku5zR9UPMpl0dHRxMbGGkUSuFv4SEpK4urVqzRs2JDx48cTHx/PN998wwcffMDBgwfZv38/Bw4cMIpF0dHR7N+/P80yqJSUFMqVK5dhv87Ozmk+BwUF0a5dO65evcqmTZuoWbMmrq6umcYdEBBgLNmKjIxkx44dTJ48mUKFCtG2bds01165cgUgTXvW1ta4uLgQHR1tFI/ujyk6OpqDBw/yySefpHmeWrVqZRpT06ZNCQsLy/T83/t4WFypqam4uLikmX1Vrly5LBePYmJiKF26tPHZzs6OGjVqZOleuSsu7kZeh5DrrK1NODgU5Pr1W6SkpOZ1OJKDlFvLpdxaLuXWcim3lku5tVzK7eMhq7/QV/EoB2zcuJHLly/z5ptvAnf3wrG3twegVKlSlCtXju3btxvXJyQkcPXqVYoVK4aVlRWVKlUiIiKCK1euULVqVerUqcN3333HN998w4cffmi006pVK8aMGWO0c/ny5Uxnufx9OVqVKlV49tln+fzzz9m6dWum3yh26tQpWrZsyfr163nuueeAuwWVbt26cfTo0QwLK2XKlAHuFpnuLTlLSUnhwoULxoyfv8dUqlQpWrZsaYwZwIULF4xx+6fu7+NhcVlZWRlFJJPp7lTJixcvGvebTCYSExPTtB8XF2e8d3Fx4c8//zQ+JyUlMWnSJLp16/ZIz/Bfkpz83/lLIiUl9T/1vP8lyq3lUm4tl3JruZRby6XcWi7lNn/Q4sIccPPmTT7++GMuX75MQkICn3/+OVWqVAHuLse6ceMGCxYsIDExkevXrzNkyBAGDBhgFDoaNWrE7NmzqVWrFtbW1vj6+rJlyxZSU1ONmSxt2rRhy5Yt7N27l9TUVM6ePcvrr7/OokWLshxnUFAQa9as4ezZs8aMpr8rX748lStXZuTIkRw7dow7d+5w69Ytdu/ezYEDB2jUqBEABQoUICEhAbPZjLOzM35+fowdO5aYmBhu377N5MmTSUlJwd/fP8N+XnnlFZYtW8axY8cA+OmnnwgKCkqzR9KjelhcAQEBmM1mwsPDSUxM5Oeff2bt2rXG/RUqVODKlSvs378fs9nMp59+yqlTp4zzQUFBLFy4kDNnzpCcnMzcuXP58ssvcXR0TDM+IiIiIiIiIvmZikc5oG3btvj5+dG8eXPq1q2Lra0t77zzDgCFCxdmyZIlHDhwgHr16tGwYUNMJhOzZ8827m/YsCFxcXH4+voC4OHhgZWVFQ0bNjQKTNWrV2fq1KlMnToVLy8vXn/9dQICAhg4cGCW42zWrBl//PEHL7/8MgULZryu1MrKivnz5+Pu7s4777yDj48Pvr6+zJs3j0mTJhn7Cfn7+/PXX3/h4eHB9evXmThxIq6urrRq1YoXX3yRX3/9laVLl1K0aNEM+/nf//7H22+/zbBhw6hZsyb9+vWjU6dOmc6I+qceFJeDgwMLFy5k3759eHt7M3z4cJo0aWLcW7VqVXr27MnQoUPx9vZm//79ac5369aNZs2a0bVrV3x8fDh06BDz58/H1tY23fiIiIiIiIiI5FdWZk2N+M9ISUmhTp06zJkzx9iHSB4jK9N/852li2lk+YU1GxsTjo6FiIu7oem4Fka5tVzKreVSbi2Xcmu5lFvLpdw+HpycimTpOu159B/x+++/s23bNkqVKqXCkYiIiIiIiIhkmYpH/xEhISEAfPTRR3kciYiIiIiIiIjkJyoe/Ufs3Lkzr0OQh2lv1pRNEREREREReexow2wREREREREREcmUikciIiIiIiIiIpIpFY9ERERERERERCRTKh6JiIiIiIiIiEimVDwSEREREREREZFMqXgkIiIiIiIiIiKZUvFIREREREREREQypeKRiIiIiIiIiIhkSsUjERERERERERHJlIpHIiIiIiIiIiKSKRWPREREREREREQkUyoeiYiIiIiIiIhIplQ8EhERERERERGRTKl4JCIiIiIiIiIimVLxSEREREREREREMmWT1wGIyP+30grHvI4hj8Q0up7XIYiIiIiIiEgmNPNIREREREREREQypeJRPnH27Nm8DiGdy5cvc/PmzbwO47Gl8RERERERERFLoOJRFgUEBFC1alXc3d3TvLp06ZIr/Y0cOZKRI0cCcOLECZo2bZor/WTmq6++4tVXX6VmzZrUrFmToKAgNmzYYJy/cuUKTZo0ITY29l+J58CBA7i5uaUb/xYtWrBnz54c6+f8+fO4ublx/vz5R2rn3x4fERERERERkdyiPY+yITQ0lKCgoH+lrzFjxhjv4+PjSUpK+lf6BTh06BCDBg3iww8/pE6dOgDs3buXAQMGYDKZaNGiBbdv386TWTVHjhwx3qekpLB48WLeeustNm3aRPny5f/1eDKTV+MjIiIiIiIiktM08yiHBAcHEx4ebnz++wwWNzc3xo4di4+PDz169CAiIoLXXnuNsWPHUqtWLWrXrs3w4cONItHQoUMZOnQoUVFRdO/eHQB3d3eOHDlinLufm5sbBw4cAO7Okho5ciS+vr60bNmS1NRUjh8/TnBwMF5eXjRu3JglS5ZgNpszfJYjR45QqlQp6tWrh7W1NdbW1vj5+TFw4ECSkpJISUkxZkI1bdqUzz77DIC1a9cSGBhIzZo1adasGZs2bUozPkOHDsXf35/69euTkJBAZGQkPXr0wMfHB39/f6ZNm0ZiYmKWx9za2prXXnuNpKQkfv/9d2PMw8LC8PLyIjQ09KFxJSQkMGTIEDw8PKhbty6ffvpppuMKEBERQUBAgPH522+/pU2bNri7uxMQEMDHH3+c6fiIiIiIiIiI5EeaefQvioyMZNeuXSQlJfHll1/yww8/UK9ePb755ht++eUXOnbsyIsvvkhgYKBxj6urK/Pnz+eNN94wZt2sXr36oX0dO3aMbdu2ARATE0PHjh0ZMGAAixYt4ty5c7z11lvY29vz6quvprvX39+fWbNm8dprr9G4cWOqV69OlSpV6NChg3HNli1baNCgAVu2bKFs2bJEREQQFhbGjBkz8Pb25uDBg/Tu3ZuCBQvSqFEjAL777jvWrl1LwYIFMZlMdOrUicDAQKZPn05sbCx9+/YlNTWVgQMHZmk84+PjWbBgAYUKFaJGjRpG4e3GjRt8++233L59+6FxjRkzhsjISHbs2IHJZMpy3wBnzpyhR48ejBo1ipYtW3Ly5EneeOMNnnrqqXTjIw9mY2O5dWxra1Oan2I5lFvLpdxaLuXWcim3lku5tVzKbf6i4lE2hIaG8sEHH6Q5tmfPHp544oks3d+0aVMKFixIwYIFAbC3t6dHjx5YWVlRrVo13NzcOHPmTI7E2qRJExwcHIC7xaYKFSoYxZ9nn32Wrl278vHHH2dYPHr22WfZtGkTK1asICIigokTJ2Jra0ujRo149913cXJySnfP+vXradeuHbVr1wagdu3atGvXjlWrVhnFo3r16lGyZEkAPvvsMxITE3n77bexsrLCxcWFfv360bdv3wcWcDw9PY33NjY2VKpUiTlz5lCyZEljllfLli2xs7PDzs7ugXH5+fmxbds25syZQ/HixQEYPHgwLVq0yNIYb926lcqVK9OmTRsAqlSpwsqVK3F2dtaStWxydCyU1yHkOgeHgnkdguQS5dZyKbeWS7m1XMqt5VJuLZdymz+oeJQNo0aNeqQ9j5ydndN8Ll68OFZWVsZnW1vbTJeSPUpf0dHRHD9+PE3hJTU1FWtr60zvd3V1NZbGxcfHc/DgQaZNm0a/fv1YuXJluuuvXLmCq6trmmNly5Zl586dmcYUGxuLl5eXccxsNpOUlMTVq1eNYs7fHTp0KNOYM+rnQXHFxcWRmJiIi4tLmufOqsuXL1O6dOk0xypVqgSg4lE2xcXdyOsQco21tQkHh4Jcv36LlJTUvA5HcpBya7mUW8ul3Fou5dZyKbeWS7l9PGT1F/kqHuUQk8mUZlPruLi4dNfcXyh61L7u3LljfM7oG73u76tUqVL4+PiwcOHCNPHduJHxP9g7dOhAtWrVGDJkCABFihShQYMGWFlZZTorqGzZskRGRqY5FhUVlWaW0t9jKleuHNu3bzeOJSQkcPXqVYoVK5ZhH1l1fz8PisvR0ZECBQoQFRVlbLZ98eLFNNc+KK8uLi7s3r07zfXr16+nePHiPPvss4/0DP81ycmW/5dFSkrqf+I5/4uUW8ul3Fou5dZyKbeWS7m1XMpt/qDFhTmkQoUKfPPNN1y/fp34+Hjmz5+fY20XKFAAuDsD6F5fhw4d4tKlS9y+fZuZM2c+sDDVrFkzfvzxRzZt2kRycjKXL1+mR48ehIWFZXh98+bNWbVqFZ9++imxsbGkpqZy5swZli9fTuPGjdPElJCQAECbNm1YvXo1+/btIyUlhf3797N69Wpat26dYR/+/v7cuHGDBQsWkJiYyPXr1xkyZAgDBgzIsSLbw+Kys7OjZcuWTJ8+nYsXLxIfH8+kSZPS3F+hQgU+//xzkpOTiYyMZN26dca5wMBATpw4wcaNG0lJSeHnn38mLCwMGxubdOMjIiIiIiIikl+peJRDQkJCKF68OA0aNKBFixZpvpHrUT333HPGt4Ht3r2bdu3a4e7uTvPmzWnUqBEuLi7plk/dr0yZMixYsIDVq1fz4osv0qJFC8qXL59p8ahdu3aMHTvW2K/I3d2dkJAQ3N3def/99wEoUaIEjRo1ol27dnzyySe89NJLvPvuu4wdOxZPT09Gjx7N4MGDadmyZYZ9FC5cmCVLlnDgwAHq1atHw4YNMZlMzJ49+5HH634Pi2v48OFUq1aNZs2aGZuD32/UqFEcP34cb29v+vfvb+xvBFCuXDnmzZvHihUr8Pb25u2332bo0KHUqVMn3fiIiIiIiIiI5FdW5pzaZEdEHs3KnJtxld/ENLqe1yHkGhsbE46OhYiLu6HpuBZGubVcyq3lUm4tl3JruZRby6XcPh6cnIpk6TrNPBIRERERERERkUypeCQiIiIiIiIiIpnSt62JPC7amzVlU0RERERERB47mnkkIiIiIiIiIiKZUvFIREREREREREQypeKRiIiIiIiIiIhkSsUjERERERERERHJlIpHIiIiIiIiIiKSKRWPREREREREREQkUyoeiYiIiIiIiIhIplQ8EhERERERERGRTKl4JCIiIiIiIiIimVLxSEREREREREREMqXikYiIiIiIiIiIZErFIxERERERERERyZSKRyIiIiIiIiIikikVj0REREREREREJFM2eR2AiPx/K61wzOsYLFxMo+t5HYKIiIiIiEi+o5lHIiIiIiIiIiKSKRWPREREREREREQkUyoe/Qvu3LnDxYsX8zqMHGepz5VTND4iIiIiIiJiCf6zxaOAgACqVq2Ku7t7utehQ4eMayIiIh65r/bt2/Pdd989cjsZuXDhAu7u7ly4cCFH2/3999/p1asXPj4+uLu707hxY6ZNm0ZiYqJxTW4+V0bc3NyoVq2akacaNWoQEBDAggULcrSf/JB3ERERERERkX/Lf3rD7NDQUIKCgnK9n7i4uFxru3Tp0hw5ciRH20xISCA4OJguXbowefJk7O3t+eOPP3j77be5cuUK48aNA3L3uTIzf/58fHx8jM8HDx6ka9euODo60rp16389ngfJi/ERERERERERyWn/2ZlH2ZWYmMj06dNp0KAB3t7edO/enXPnzhnno6Ki6NGjBx4eHtSuXZvRo0eTmJhIly5duHDhAqNGjWLMmDEcOHAAPz8/Bg4ciKenJ/PmzSM1NZV58+bRsGFDPDw8aNOmDd98843RdkBAAHPnzqVly5a4u7vTsmVL9u/fD8D58+dxc3Pj/PnzD4wDIDw8HD8/P7y9vWndujVfffVVhs96+vRp4uLiaNmyJQULFsTKyoqKFSsyfPhwHBwcANI9F8ChQ4fo0KEDnp6eBAQE8OGHH6bpu0uXLrRu3Rpvb2++//57EhISGDNmDH5+ftSuXZsBAwZw5cqVbOXF29ubihUrcuLECWOsRo4cia+vLy1btiQ1NfWBcZnNZubMmUOdOnXw9PRkwoQJpKSkGO0HBwcTHh5ufM7qeGc0PiIiIiIiIiL50X965lF2TJs2jf3797NkyRKcnZ2ZP38+Xbp04bPPPsPa2pquXbvi4+PDnj17uH37Nl27diU8PJxFixYREBBA7969CQoK4sCBA1y8eJHy5csTFhbGnTt3mDlzJuvWrWPWrFm4ubmxY8cO3nrrLVasWEG1atUAWL9+PfPnz8fZ2ZnQ0FBGjx7N9u3b08SYnJycaRy+vr6sXr2aiIgInJycWL16NcOHD6devXrY2tqmaadSpUpUqFCB1157jaZNm+Lh4UG1atWoVasWtWrVAkj3XKdPn6Zz584MGjSIxYsX8+eff9KnTx8SEhIYMWIEAPv27WPRokVUq1aNAgUK8Pbbb3Pjxg0iIiKwt7cnLCyM3r1788knn2BlZfXQnCQmJvL111/z22+/0bt3b+P4sWPH2LZtGwBnz559YFzr169n6dKlLFiwgIoVKzJjxows71P0oPH++/jI48HG5t+vl1tbm9L8FMuh3Fou5dZyKbeWS7m1XMqt5VJu85f/dPEoNDSUDz74IM0xFxcXNm/enOaY2Wxm1apVfPTRR7i6ugLQq1cv1qxZw65du3B0dCQ6Opphw4ZRsGBBChUqxIwZM0hNTc207zZt2mBra4utrS3r16/nzTffpHLlygC8/PLLfP7556xbt84oHrVp04annnoKgGbNmrFx48Z0bf7www+ZxnH16lWuXbvGmjVr8Pf3p23btrRr1y7DIo2dnR1r1qxh5cqV7Ny5k4ULF5KcnEzNmjUZOnSoEdP9Nm/ejJubGx07dgTgqaeeYuDAgfTt25dhw4YB4OrqSu3atQG4evUqn3/+Odu2baN48eIADBs2DE9PT44fP06VKlUyHLcePXpgbW1tfC5XrhzvvfceAQEBxrEmTZoYM6QWL178wLg+/fRTXnnlFWPs+/Xrx5o1azLsOzvjLY8nR8dCeda3g0PBPOtbcpdya7mUW8ul3Fou5dZyKbeWS7nNH/7TxaNRo0ZlaVZIbGwsN2/epF+/fphM/1cVTUpKIjo6muTkZBwdHSlY8P/+0JctW/aBbTo7Oxvvr1y5YhSl7r//5MmTxucSJUoY721sbDCbzenajImJyTSOcuXKER4ezvLly1mwYAH29vYEBwfTs2fPNM90T+HChXnzzTd58803SUxM5Oeff2b+/Pl07tyZnTt38uSTT6a5/urVqxk+w+3bt7l69Wq6Z46OjgbglVdeSXOPtbU158+fz7R4NGfOnDR7HmXk/n4eFtfly5dxcXFJ03/p0qUf2P49DxpveTzFxd341/u0tjbh4FCQ69dvkZKiwqIlUW4tl3JruZRby6XcWi7l1nIpt4+HrP6C/T9dPMoqR0dHChQowKJFi6hRo4Zx/PTp05QsWZKTJ08SFxfHrVu3jELCoUOH+Pnnn+nUqVOGbd4/46dMmTJERUWlOR8VFZWmCJIVpUqVyjSOxo0bU7x4cRYuXEhiYiL79u2jd+/eVK5cmfr166dpZ9q0aXz33XesXbsWuDsTqWbNmkyaNAkPDw8iIyOpWrVqmnvKlCnDjh070hyLjIzEzs7OKDTd/8wlS5YEYNu2bTg5ORnH//jjj3TFnuz6+9g+KK5SpUqlGXuz2czly5eNzyaTiaSkJOPz/ZtgP2i8M8u75K3k5Lz7SyklJTVP+5fco9xaLuXWcim3lku5tVzKreVSbvMHLS7MApPJRJs2bZgyZQoXL14kNTWVDRs20LRpU86dO0e1atV4+umnmTBhArdu3eLKlSuMHz+e2NhY4G7xJT4+PtP227Zty7x58zh+/DgpKSls27aNnTt30qpVq2zF+aA4fvrpJ7p168bJkyexs7Mzloo5Ojqma+ell17i119/5cMPPyQ6Ohqz2cyVK1eYOXMmTz31FG5ubumeKzAwkFOnTrF06VISExOJjIxk6tSpNGvWDDs7u3R9lCxZkvr16zNu3Dji4uJISkpi9uzZtGnThuvXr2fruR/kYXG1bduWNWvWcOTIESOGmJgY4/4KFSrwzTffcP36deLj45k/f36Wxvvv4yMiIiIiIiKSX/2nZx6NGjWK999/P93xt956i+7du6c5NmTIEMLDw2nfvj1//fUXrq6ufPTRR7zwwgvA3eVUH3zwAfXr18fGxoZmzZrRt29f4O5+RdOmTeOnn36ibdu26frr3LkzqampDBgwgJiYGJ566immTp2Kt7d3tp7H1tY20zhsbGw4e/YsPXv2JC4ujuLFizNs2DCqV6+erp1KlSrx8ccfM2fOHNq0acONGzdwcHCgbt26LF++3CgG3f9ckydPZsGCBUydOpXw8HDs7e1p2rQp/fv3zzTeiRMnMmXKFFq2bElCQgIVK1ZkwYIFaWYiPaqyZcs+MK6mTZsSFxfHgAEDuHbtGv/73/+M4hhASEgIw4cPp0GDBhQpUoS+ffvy+eefP3S8MxofERERERERkfzIypzR5jki8u9b+fBvmJNHE9Mo52a1ZZWNjQlHx0LExd3QdFwLo9xaLuXWcim3lku5tVzKreVSbh8PTk5FsnSdlq2JiIiIiIiIiEimVDwSEREREREREZFM/af3PBJ5rLQ3a8qmiIiIiIiIPHY080hERERERERERDKl4pGIiIiIiIiIiGRKxSMREREREREREcmUikciIiIiIiIiIpIpFY9ERERERERERCRTKh6JiIiIiIiIiEimVDwSEREREREREZFMqXgkIiIiIiIiIiKZUvFIREREREREREQypeKRiIiIiIiIiIhkSsUjERERERERERHJlIpHIiIiIiIiIiKSKRWPREREREREREQkUyoeiYiIiIiIiIhIpmzyOgAR+f9WWuGY1zEIADGNrud1CCIiIiIiIo8NzTwSEREREREREZFMqXgkIiIiIiIiIiKZUvFI/rGzZ8/mdQiPNY2PiIiIiIiIWAIVjx5zbm5uVKtWDXd3d2rUqIGXlxc9e/bkzz//zJH2IyIiCAgIyPZ9O3fupGvXrjkSQ1aEh4fz/PPP4+7ubrxq1qxJly5diIyMzLF+/ul4/N2/PT4iIiIiIiIiuUXFo3xg/vz5HDlyhB9//JGvv/4as9nMO++8k6cx/fXXX5jN5n+1T09PT44cOWK89uzZQ+HChenSpQspKSn/aiwPkxfjIyIiIiIiIpIbVDzKZwoXLswrr7zCzz//bByLi4vjvffeo06dOvj4+BASEpJmydSvv/5K9+7d8fb2pl69eowePZr4+Ph0bScmJtK9e3c6dOhAQkICly5dolu3bsZ9vXv35vLlyxw4cIBRo0Zx4cIF3N3duXTpErdv32bixIn4+fnh5eVFcHAwx44dM9p2c3Nj7Nix+Pj40KNHDwC+++472rRpg6enJ4GBgWzatCnbY9GqVSuioqK4fv06ERERBAUF0aVLFzw9Pdm8efND4zp16hTBwcG4u7vTrFkzTpw4YZw7cOAAbm5uafocOnQoQ4cONT4vXbqURo0a4e7uTlBQEPv27ctwfERERERERETyK5u8DkCy59q1a2zdupXGjRsbx/r27YvJZGLDhg0UKVKE6dOn06lTJ7Zs2UJSUhJvvPEGQUFBhIeHEx8fz6BBgxg8eDCzZ8822rh9+za9evXCysqKhQsXYm9vz/vvv0+pUqWYPXs2d+7coW/fvsybN48RI0YQGhrKjBkz2LlzJ3C3qHLixAmWLVuGi4sLn3zyiRFD6dKlAYiMjGTXrl0kJSVx8uRJevbsyaRJk2jQoAFHjx7lrbfewtHRkbp16z50HMxmM3/++SeffPIJlStXxtHx7pfcHz9+nLCwMObMmUNqaiqjR4/ONC4nJydCQkKoV68eCxYsIDIyku7du2MyZa2mGhERwaxZs5gzZw7Vq1dn/fr19OzZk127dqUbH8lfbGxyrq5ubW1K81Msh3JruZRby6XcWi7l1nIpt5ZLuc1fVDzKB3r06IG1tTWpqancuHGDIkWKMHfuXACioqI4ePAgW7duxcnJCYBBgwaxefNmdu/eza1bt7C1tWXQoEFYW1tjb2/Pe++9R2BgIDExMcDdGUc9evQgLi6OtWvXYmdnB0CBAgX4/vvv2bp1K7Vr12bBggUZFlbu3LnDli1bmDlzJk899RQAHTt2ZPPmzWzZsoU333wTgKZNm1KwYEEKFizI1KlTadCggVEEq1mzJq+88gorVqzItHh0+PBhPD09gbvFo8KFC1OzZk1Gjx5tXGNra0uLFi0wmUwPjatGjRr8+eefDB48mAIFClCxYkU6d+7M0qVLs5SXDRs20K5dO9zd3QFo27YtFSpUwN7ePkv3y+PL0bFQjrfp4FAwx9uUx4Nya7mUW8ul3Fou5dZyKbeWS7nNH1Q8ygfmzJmDj48PcHeG0IoVK+jYsSOrV68mMTERAFdXV+N6a2trXFxciI6Oxmw2U7p0aaytrY3zZcuWBSA6OhqAmJgYKlWqxKlTp/j555+pWbMmACNGjGDu3LksXLiQoUOHUqlSJUaMGGEUcO65du0aSUlJRrv393P+/Hnjs7Ozs/E+Ojqa/fv3p2krJSWFcuXKZToOHh4eLF++/IFj5eTkZBS4HhaXi4sLjo6OaYo9D+r/72JiYoxZVffcGzvJ3+LibuRYW9bWJhwcCnL9+i1SUlJzrF3Je8qt5VJuLZdya7mUW8ul3Fou5fbxkNVfnKt4lM/Y29vTtWtX5s2bx3fffUeLFi2Au0vCKlasCNwtwly4cAEnJydsbW25cOECKSkpRgHp3reTOTk5cfr0aZydnZk/fz4TJ05k6NChbNy4kSeeeIITJ07Qrl07+vTpQ2xsLDNnzqR3797s378/TUwlSpSgQIECREVFUaFCBeN4ZGRkmm8us7KyMt6XKlWKVq1aMWbMGOPY5cuXH3mT6fv7eFhcLi4uxMbGcuPGDQoVuvsfzMWLF43r7o1XYmKiMRsrLi7OWCLn4uKS7lvvpk2bRvPmzR/pGSTvJSfn/F9eKSmpudKu5D3l1nIpt5ZLubVcyq3lUm4tl3KbP2hxYT6TnJzM+vXruX79Oh4eHjg7O+Pn58fYsWOJiYnh9u3bTJ48mZSUFPz9/fHz8wNg8uTJ3L59m5iYGMaNG0etWrUoU6YMcHepl5WVFf3798dkMjFhwgTg7oyn999/n4SEBBwcHChYsKBROClQoAC3bt0iOTkZk8lE69atmTp1KufOnSMxMZGlS5fyxx9/EBgYmOFztGnThi1btrB3715SU1M5e/Ysr7/+OosWLcqxsXpYXO7u7jzzzDOMHTuWW7duce7cuTT9lytXDhsbG7Zu3Qrc3eD7/sJZUFAQq1ev5tixY6SmprJ+/XpWrFiBo6NjmvERERERERERyc9UPMoHunfvjru7O+7u7nh7e7NixQqmTp1qLJGaOHEirq6utGrVihdffJFff/2VpUuXUrRoUYoUKcLixYv57bff8PPzo2nTppQpU4bp06en66dAgQKMHz+etWvXsmfPHsaMGUNqaioNGjTAy8uLo0ePGvd5eXlRvHhxvLy8+PXXXxk8eDB16tShU6dO+Pj4sG3bNhYuXMgzzzyT4TNVr16dqVOnMnXqVLy8vHj99dcJCAhg4MCBOTp2D4rL2tqaefPmcfnyZV588UW6detGgwYNjHudnZ0ZNmwYs2bNombNmnz88ccEBQUZ55s1a0afPn1455138PT0ZPXq1cyfP59ixYqlGx8RERERERGR/MrK/KjrhEQkZ6y0evg18q+IaXQ9x9qysTHh6FiIuLgbmo5rYZRby6XcWi7l1nIpt5ZLubVcyu3jwcmpSJau08wjERERERERERHJlIpHIiIiIiIiIiKSKX3bmsjjor1ZUzZFRERERETksaOZRyIiIiIiIiIikikVj0REREREREREJFMqHomIiIiIiIiISKZUPBIRERERERERkUypeCQiIiIiIiIiIplS8UhERERERERERDKl4pGIiIiIiIiIiGRKxSMREREREREREcmUikciIiIiIiIiIpIpFY9ERERERERERCRTKh6JiIiIiIiIiEimVDwSEREREREREZFMqXgkIiIiIiIiIiKZUvFIREREREREREQyZZPXAYjI/7fSCse8jkEyFNPoel6HICIiIiIikmc080hERERERERERDKl4pH8Y+fOncvrEB5rGh8RERERERGxBCoe5QE3Nzfc3Nw4ffp0unOLFy/Gzc2N8PDwR+7H3d2dQ4cOZfu+a9euMXr0aPz8/KhRowZ16tRhyJAhXLx40bhmwoQJzJ49+5FjzKrg4GCqVKmCu7u78apVqxbvvvsut2/fzrF+hg4dytChQx+5nX97fERERERERERyi4pHecTR0ZENGzakOx4REUHhwoVzpI8jR47g6emZ7fsGDBhAXFwc69at48cff2Tjxo0kJibSuXNnkpOTAYiLi8uRGLMjJCSEI0eOGK/169fzww8/MGrUqH89lofJi/ERERERERERyQ0qHuWRZs2a8emnn5KammocO3bsGImJibzwwgvGsYxmwri5uXHgwAEAPv/8cwIDA/Hw8OCll15i1qxZGV4XGxvLoEGD8PLywsfHhwEDBnDt2rUMYzt8+DCNGjXCyckJgBIlSjBs2DCqV6/O9evXmTlzJps3b2bz5s00b94cgOjoaPr370/t2rXx9fVl4MCBXL58GYADBw7g5+fHwIED8fT0ZN68eZjNZpYtW0aTJk3w9PSkffv2/Pzzz9kawzJlyhAQEMCJEyeMserbty8vvfQStWrVIjIy8oFxAXz11VcEBgZSo0YNQkJC0hR9wsPDCQ4OTtNnQEAAERERANy8eZMxY8ZQu3ZtPD096d69O9HR0RmOj4iIiIiIiEh+peJRHqlfvz5JSUl89913xrF169bRpk2bLLdx+/Zt3nnnHUaOHMnhw4eZMmUK8+fP59ixY+mu7devHwkJCezYsYOvvvqK69evExoammG7gYGBjBo1itGjR/PZZ58RHR2Nk5MTYWFhFCtWjF69etGsWTOaNWvGpk2bSEpKokuXLlhbW7Njxw62bdsGQI8ePYyZShcvXqR8+fLs27eP9u3bs3LlShYvXsz06dPZt28fQUFBdO7cmStXrmTp2VNSUjhx4gQ7duzA19fXOP7NN98wffp0duzYgYuLywPjOn36NP369SMkJIRDhw7Rtm1bvvnmmyyP/5gxY/jpp5+IiIjgu+++o0SJErz99tvpxkdEREREREQkP7PJ6wD+q2xsbGjWrBkbNmygTp063L59m88//5wtW7awZ8+eLLdjb2/PunXrSE1NpWbNmhw+fBiTKW1NMDo6moMHD7J9+3YcHe9+GXxYWBh//fVXhm2OHTsWHx8fPvvsM0aOHEl8fDzlypWjT58+Gc6kOXToEFFRUaxfv95YchcaGoq3t3ea2URt2rTB1tYWW1tbVqxYQUhICJUqVTLOrVu3jk2bNtGlS5cM45o3bx5Lly4FwGw2U6JECRo3bkz//v2Na2rUqMFzzz0HwL59+x4Y1969e6lSpYrxTA0bNsTf3/+B431PYmIiW7duZfbs2bi4uADw7rvvapNsC2Vj88/r7NbWpjQ/xXIot5ZLubVcyq3lUm4tl3JruZTb/EXFozwUFBREu3btSEhI4Msvv6RmzZrGUrGssLe355NPPmHWrFkMHDiQhIQEmjRpwogRI3jyySeN62JiYoC7y7zucXJyyrQvk8lEixYtaNGiBWazmVOnTvHpp58yePBgnJycqF27dprrr169iqOjY5q9mgoXLkzRokWJjo6mRIkSADg7Oxvno6OjmTBhApMnTzaOJScnU6VKlUyf980336RPnz4PHJP7+3hYXJcuXaJ06dJp7i9XrlyW9iu6du0aiYmJae53cHCgatWqD71X8h9Hx0KP3IaDQ8EciEQeR8qt5VJuLZdya7mUW8ul3Fou5TZ/UPEoD1WqVIny5cuzbds2Nm/eTMeOHdNdYzKZuHPnjvE5NjbWeJ+QkMDly5eZMmUKAL/88gtvv/02c+bMYciQIcZ192bGXLhwgaeffhqAP/74gy1btqSZtQN3l3317duXr7/+mqJFi2JlZcWzzz7LwIED+fbbbzlx4kS64lGZMmWIi4sjISHBKNTEx8cTFxeHk5MTZrMZACsrK+OeUqVK0bdvXwIDA41jkZGRFC1aNKvDl6H7+3hYXKVKlWLXrl1p7r948SIFChQA7o59UlKScS41NdWYrVW8eHHs7Oz4888/KV++PHC3WDV//vx0Yyr5X1zcjX98r7W1CQeHgly/fouUlNSH3yD5hnJruZRby6XcWi7l1nIpt5ZLuX08ZPUX5Soe5bGgoCCWLFnC9evX8fPzS3e+QoUKLFu2jEuXLvHkk08yc+ZMo0By48YNunfvzvjx42natCnOzs6YTCZjado9JUuWxNfXl4kTJxIWFobJZGLSpEkZfqubl5cXxYsX591336V///6UL1+eO3fusHPnTs6ePUv9+vUBsLOz4+rVqwBUrVqVZ5991tgnCWD06NGUK1fOWEr3d6+88gqzZ8+mUqVKVKhQgW+++Ya33nqLDz/8kAYNGjzKkBoeFpeLiwvz5s1jzZo1BAUFsX//fr744guaNm0K3B37BQsW8Pvvv/PMM8+waNEibt68CdwtLLVs2ZLw8HCeffZZihYtyocffsjvv/+Ovb19mvGR/C85+dH/MktJSc2RduTxo9xaLuXWcim3lku5tVzKreVSbvMHLS7MY02bNuXcuXM0b94cG5v0tbx27drh7u5O8+bNadSoES4uLsZSqZIlS/LRRx8xf/58atasSdOmTalVqxadOnVK187kyZMpXLgwL730Eg0aNKBYsWIZbphtb2/PypUrcXJyomfPnnh6elK/fn02bdrE4sWLqVChAgAvv/wyP/zwA/Xr18fGxoa5c+eSnJxMkyZN8Pf3JykpicWLF2f4TACdOnWiZcuWvPXWW7i7uzNu3DhGjhyZY4Uj4KFxubq6MmfOHFasWIGHhwezZs2iUaNGxv0NGzakWbNmdOrUibp16xIXF4eHh4dxfujQoVSpUoW2bdsa56dPn55ufERERERERETyMyvzvTVFIpK3Vlo9/BrJEzGNrv/je21sTDg6FiIu7oZ+o2JhlFvLpdxaLuXWcim3lku5tVzK7ePByalIlq7TzCMREREREREREcmUikciIiIiIiIiIpIpbZgt8rhob9aUTREREREREXnsaOaRiIiIiIiIiIhkSsUjERERERERERHJ1CMVjxISEkhMTMypWERERERERERE5DGTreLRqVOn6NWrFwBffPEFtWrVom7duhw+fDhXghMRERERERERkbyVrQ2zP/jgA5ydnTGbzUydOpW+fftSqFAhwsLCWLt2bW7FKCIiIiIiIiIieSRbxaNff/2VOXPmEB0dTWRkJO3bt6dQoUJMmTIlt+ITEREREREREZE8lK1la8nJyZjNZr799lsqV65M4cKFiYuLo0CBArkVn4iIiIiIiIiI5KFszTx68cUX6dOnDydPnqRr165ERUUxePBg6tevn0vhiYiIiIiIiIhIXsrWzKP333+fKlWq0KFDB9544w1u3LhB5cqVGTlyZG7FJyIiIiIiIiIieShbM48KFSpEnz59AIiNjaVSpUqMGDEiVwITEREREREREZG8l62ZR0lJSUybNg0PDw8CAgKIioqidevWXL58ObfiExERERERERGRPJSt4tGMGTPYv38/06dPx9bWluLFi1OqVCnGjRuXW/GJiIiIiIiIiEgeytaytc2bN/PJJ59QsmRJrKyseOKJJxg/fjyNGjXKrfhERERERERERCQPZWvm0c2bNylWrBgAZrMZAHt7e0ymbDUjIiIiIiIiIiL5RLaqPjVq1GDGjBkAWFlZAbB8+XKqVq2a85GJiIiIiIiIiEiey9ayteHDh9OxY0c2bNjAjRs3ePnll7lx4waLFy/OrfhE/jtWWuGY1zFIjohpdD2vQxAREREREckx2Soeubq6snXrVr7++msuXLhAqVKlqF+/PoULF86t+EREREREREREJA9lq3gEULBgQV5++eXciEXymbNnz/L000/ndRiPLY2PiIiIiIiIWIIs7XlUqVIlnn/++Qe+LElAQAARERHpjkdERBAQEJBj/Zw/fx43NzfOnz+fY23mhMTERKZMmULDhg1xd3enVq1a9OnTh1OnThnXrFixgvfee+9fi2no0KFUrlwZd3d34+Xl5UWfPn2IjY3NsX7Cw8MJDg5+5Hb+7fERERERERERyS1Zmnm0bNmy3I5DHiPvv/8+Z86cYcmSJZQtW5br168THh5Ohw4d2LFjBw4ODjlasMmqZs2aERYWZnyOjY2lV69e9O3bl48//vhfj+dB8mJ8RERERERERHJDlmYeeXt7P/D17LPP5nacj6WdO3fy6quvUrt2bapXr87rr7/O2bNngbuzlIKCgujSpQuenp5s3ryZhIQEhgwZgoeHB3Xr1uXTTz812urbty/jxo0zPg8dOhRfX1/MZjMAX3/9Nf7+/gD88MMPvPHGG9SpU4eqVasSFBTEjz/+CMCBAwfw8/Nj4MCBeHp6Mm/ePMxmM8uWLaNJkyZ4enrSvn17fv7550yf6/Dhw9StW5eyZcsC4ODgwODBg/H39ycmJoYNGzYwd+5cDh06hKenJwBxcXG899571KlTBx8fH0JCQoyxuDfDKiwsDC8vL0JDQwHYunUrzZo1w8PDg6CgIPbu3Zut8S9WrBiBgYEcP34cuDtrqEuXLrRu3Rpvb2++//77B8Z1byxbt25NjRo1ePXVV9PMAstopllwcDDh4eEAJCcnM336dPz8/KhZsyYdOnTg5MmTGY6PiIiIiIiISH6VrT2Pjh07xsSJE7l06RKpqakAJCUlERsb+8BiRH4UGhrKBx98kOZYUlISxYsXB+DixYv069eP6dOnExAQQFxcHL1792bmzJlMmjQJgOPHjxMWFsacOXNITU1l5MiRREZGsmPHDkwmEwMHDjTabtiwITNnzmT48OEA7N27l4SEBH799VcqVarEzp07adiwIbdv36Znz5707duX1157jdu3bzNs2DAmTpzIypUrjdjKly9PWFgYd+7cYeXKlSxevJjZs2dToUIFPv30Uzp37sy2bdsoUaJEumcPDAxkxowZnDlzhlq1alG9enWeeeYZxo8fD0CFChU4f/48Bw8eZPny5cDd4pfJZGLDhg0UKVKE6dOn06lTJ7Zs2WK0e+PGDb799ltu377N7t27GTVqFLNnz6ZmzZrs2bOHPn36sGbNGipWrPjQ/JjNZs6cOcPGjRupU6eOcXzfvn0sWrSIatWqUaBAATp37pxpXElJSYSEhNC9e3c6d+7MsWPHePPNN3nhhRce/gcEmD17Nlu2bGHhwoU888wzzJgxg5CQEHbu3JlufOS/xcbm/+ry1tamND/Fcii3lku5tVzKreVSbi2Xcmu5lNv8JVvFozFjxuDq6krFihWJiorC19eXZcuWpSmCWIpRo0YRFBSU5lhERAQzZswA7s562bp1K+XKlSMhIYGLFy/i6OjIpUuXjOttbW1p0aIFJpOJxMREtm3bxpw5c4wC1ODBg2nRogUA9evXZ9iwYURFRXHjxg3s7e2pVq0a+/btw83Nja+//ppp06Zha2vL6tWreeqpp7hz5w7R0dEULVqUn376KU2sbdq0wdbWFltbW1asWEFISAiVKlUyzq1bt45NmzbRpUuXdM/eq1cvnn/+eTZu3MiECROIjY3F2dmZrl270qlTp3TXR0VFcfDgQbZu3YqTkxMAgwYNYvPmzezevZvq1asD0LJlS+zs7LCzs+Pjjz/mtddew8vLCwB/f38CAgJYtWpVpnsFbdmyhS+//BK4Wzx68skn8fX1ZdCgQcY1rq6u1K5dO0txJSYmUrBgQbp3746VlRUeHh60bt2aX375JcP+/27Dhg2EhIQYM+969uyJn5+fMVtM/rscHQulO+bgUDAPIpF/g3JruZRby6XcWi7l1nIpt5ZLuc0fslU8+v333/n44485f/4848aNo3Pnzri7uzNmzBg6d+6cWzE+lmxtbdmyZQurVq3CysqK5557joSEBGxs/m9InZycMJnuVlHj4uJITEzExcXFOO/q6mq8d3BwwNvbmz179nDz5k1efPFFKlSowN69e6lZsyZmsxkPDw9MJhMHDhyge/fu3Lx5k2effRYbG5t0BQtnZ2fjfXR0NBMmTGDy5MnGseTkZKpUqZLp8wUEBBhLtu7Nlpo8eTKFChWibdu2aa69cuVKuuextrbGxcWF6Ohoo3j095gOHjzIJ598YhxLSUmhVq1amcbUtGnTNHseZeT+Ph4WV2pqKi4uLlhZWRnny5Url+XiUUxMDKVLlzY+29nZUaNGjSzdK5YtLu6G8d7a2oSDQ0GuX79FSkpqHkYlOU25tVzKreVSbi2Xcmu5lFvLpdw+HjL6xXdGslU8cnBwwN7eHldXV37//XcAatSoQXR0dPYjzOe2bdvGxx9/zCeffMJTTz0F3N1o+rfffjOuub8o4ejoSIECBYiKiqJ8+fLA3eVl92vQoAF79uwhKSmJV199lQoVKvDhhx/y+eef06BBA0wmE0ePHuX9999n1apVRvFn0aJFnDlzJk1b9/ddqlQp+vbtS2BgoHEsMjKSokWLpnuuU6dO0bJlS9avX89zzz0H3C2odOvWjaNHj2ZYWClTpozR5r0lZykpKVy4cMGY8ZNRTC1btuTNN980jl24cAF7e/t07WfH/X08LC4rKyujiHSvyHd/Tu7NGLtfXFyc8d7FxYU///zT+JyUlMSkSZPo1q3bIz2D5H/Jyen/8ktJSc3wuOR/yq3lUm4tl3JruZRby6XcWi7lNn/I1uLC8uXL88knn1CgQAGeeOIJfvnlF06dOpXmH+z/FfHx8ZhMJuzt7TGbzezZs4eNGzeSlJSU4fV2dna0bNmS6dOnc/HiReLj4429ke5p2LAhBw8e5Mcff6RWrVpUqFCBokWLsnLlSho1apSuX4Aff/yRZcuWpSty3O+VV15h9uzZnDp1CoBvvvmGwMBAvv/++3TXli9fnsqVKzNy5EiOHTvGnTt3uHXrFrt37+bAgQNGHAUKFCAhIQGz2YyzszN+fn6MHTuWmJgYbt++zeTJk0lJSTE2+c4opmXLlnHs2DEAfvrpJ4KCgtLskfSoHhZXQEAAZrOZ8PBwEhMT+fnnn1m7dq1xf4UKFbhy5Qr79+/HbDbz6aefGmMIEBQUxMKFCzlz5gzJycnMnTuXL7/80igU3hsfERERERERkfwsWzOP+vXrR8+ePfH19aVr16688sorWFtb89prr+VWfI+tVq1acfjwYQIDA7G2tqZ8+fJ07NiRFStWZFrIGT58OOPHj6dZs2bY2Njwxhtv8PXXXxvnS5YsScWKFTGZTDg4OADg6+vL559/bizn8vX1pX379nTo0IHU1FTKli1LcHAwU6ZMMZZp/V2nTp0wm8289dZbXL58mZIlSzJy5EgaNGiQ7lorKyvmz5/PrFmzeOedd7h06RImk4nnn3+eSZMmGfsJ+fv788knn+Dh4cGuXbuYOHEikydPplWrVty8eZMaNWqwdOlSihYtSkJCQrp+/ve//3Hz5k2GDRvGhQsXKFq0KJ06dSI4ODh7iXiIB8UFsHDhQkaPHs3ixYt56qmnaNKkiTGLq2rVqvTs2ZOhQ4dy48YNGjZsSJMmTYy2u3XrRnJyMl27duXatWtUrVqV+fPnY2trm2587uVTREREREREJL+xMmdzasSdO3ewtbXFZDJx7Ngx4uPj8fX1za34RP47Vv73ZvBZqphG1433NjYmHB0LERd3Q9NxLYxya7mUW8ul3Fou5dZyKbeWS7l9PDg5FcnSddlatmY2mylQoAAmk4mzZ89y8eJFKleu/I8CFBERERERERGRx1+Wlq3Fx8fTr18/SpcuzdixY9m7dy89evSgcOHCWFlZsXLlSp555pncjlVERERERERERP5lWSoeTZ8+neTkZDp27Ahg7CHz/vvvs3jxYqZPn86HH36Ym3GKWL72Zk3ZFBERERERkcdOlpat7dy5k/Hjx1OxYkWuXLnCyZMnad++PXD3G6cOHDiQq0GKiIiIiIiIiEjeyFLxKC4ujjJlygBw9OhRChYsSKVKlQAoUqQIt27dyr0IRUREREREREQkz2SpePTEE08YX7d+6NAh3N3dsbK6+81QUVFR+hpyERERERERERELlaXika+vLx999BFHjx5l8+bNNGrUCLj77WsLFy7Ex8cnV4MUEREREREREZG8kaUNs99++226dOnCsmXLqFWrFm3btgWgfv363Llzh9WrV+dqkCIiIiIiIiIikjeyVDwqVaoUW7duJS4ujmLFihnHe/fuTf369XFycsq1AEVEREREREREJO9kqXgEYGVllaZwBBgzkERERERERERExDJlac8jERERERERERH5b1LxSEREREREREREMpWl4tHu3btzOw4REREREREREXkMZal4NGjQIAAaN26cq8GIiIiIiIiIiMjjJUsbZtva2jJu3DguXLjAjBkzMrymd+/eORqYiIiIiIiIiIjkvSwVj9577z3Wrl2L2WzmwIED6c5bWVnleGAiIiIiIiIiIpL3slQ8eumll3jppZdo27Yty5cvz+2YRERERERERETkMZGl4tE9a9eu5caNG+zevZvo6GicnZ3x9/fHwcEht+ITEREREREREZE8lK3i0blz5+jUqRNJSUmULl2aCxcuMGHCBJYuXUrFihVzK0aR/4aVVjjmdQySa7Kb25hG13MlDhERERERkezK0ret3TN+/Hj+97//sWfPHtasWcOePXto0aIFYWFhuRWfiIiIiIiIiIjkoWwVj44ePcqAAQMwme7eZjKZ6NevH0ePHs2V4HLbuXPn8jqEfO3s2bN5HcJjTeMjIiIiIiIiliBbxSNra2sSEhLSHEtISKBgwYKPFMS1a9cYPXo0fn5+1KhRgzp16jBkyBAuXrz4SO0+yIQJE5g9e7bx2d3dnUOHDuVaf19//TVdu3alVq1aVK9enYCAAEaPHs3ly5dzrc+hQ4cydOjQf3Tv+vXradWqFe7u7nh4eNC+fXt27dplnD9x4gRNmzbNoUgfLiIigkqVKuHu7p7m9eqrr3Ls2LEc6+fAgQO4ubk9cjv/9viIiIiIiIiI5JZsFY/8/f0ZOHAgp0+fJjExkVOnTvHOO+/g7+//SEEMGDCAuLg41q1bx48//sjGjRtJTEykc+fOJCcnP1LbmYmLi0vz+ciRI3h6euZKXzNnzmTIkCH873//Y8uWLRw5coQlS5Zw+/Zt2rdvz61bt3Kl339q8+bNTJ06lVGjRnH48GH27dvHK6+8Qu/evfn+++8BiI+PJykp6V+Nq3Tp0hw5csR4HThwgCpVqtClSxeuX3+89ofJi/ERERERERERyQ3ZKh4NHDiQ5ORkXn75ZapXr07Tpk0pUKAAgwYNeqQgDh8+TKNGjXBycgKgRIkSDBs2jOrVqxtFgYCAAGbMmEGTJk1wd3enQ4cO/PHHH0Ybhw4dokOHDnh6ehIQEMCHH35IYmIiAOHh4XTp0oXWrVvj7e3NjBkz2Lx5M5s3b6Z58+YAuLm5ceDAAaOvuXPn0rJlS9zd3WnZsiX79+83+jpx4gSvvfYa7u7utGjRgtmzZxMQEJDhs50+fZoZM2YwadIk2rZtS4kSJTCZTJQrV44xY8bQpEkTYmNjAbh9+zYTJ07Ez88PLy8vgoOD08yqiY6Opn///tSuXRtfX18GDhyYZubSV199RWBgIDVq1CAkJCRNgezSpUt069YNb29v6tWrR+/evTOd9XT48GEqVapEjRo1MJlM2NnZ0bJlS3r27Mm1a9eIioqie/fuwN0ZW0eOHCE1NZV58+bRsGFDPDw8aNOmDd98843RZkBAACNHjsTX15eWLVuSmprK8ePHCQ4OxsvLi8aNG7NkyRLMZvMD/6zcz87OjldeeYX4+HgiIyM5cOAAfn5+DBw4EE9PT+bNm/fQuC5fvkyPHj2oWbMmDRo04NtvvzXOnT9/Hjc3N86fP28cCw8PJzg42Pi8efNmmjZtiru7Oy+99BKfffZZhuMjIiIiIiIikl9l69vWihYtyvLly4mKiuLq1auUKVPGKPg8isDAQEaNGsWhQ4fw9vamevXqlClTJt1G3KtXr2bevHk888wzfPDBB/To0YNt27YRFRVF586dGTRoEIsXL+bPP/+kT58+JCQkMGLECAD27dvHokWLqFatGgUKFDAKAplt9r1+/Xrmz5+Ps7MzoaGhjB49mu3bt5OQkEC3bt1o164dS5cu5cyZM/To0QMrK6sM29m+fTslS5bEz88v3Tk7Ozveeecd4/Po0aM5ceIEy5Ytw8XFhU8++YROnTqxZcsWnJyc6NKlC1WqVGHHjh2YzWZCQ0Pp0aMHa9asITIykn79+vHBBx/w8ssvs2vXLvr27WsUx6ZOnUqpUqWYPXs2d+7coW/fvsybN88Yn/s1adKEbt260bVrV/z9/alevTqVKlWiV69exjXz58/njTfeMAoj4eHhrFu3jlmzZuHm5saOHTt46623WLFiBdWqVQPg2LFjbNu2DYCYmBg6duzIgAEDWLRoEefOneOtt97C3t6eV199NcOx/LurV6+yZMkSSpYsybPPPsvRo0e5ePEi5cuXJywsjDt37jBz5swHxjVgwAAcHR3Zs2cP8fHx9OzZM0t9w90lbsOGDWPGjBnUrVuXvXv38tZbb7Fx48Z04yOSXTY22artSx6wtjal+SmWQ7m1XMqt5VJuLZdya7mU2/wlW8Wje1xdXXF1dc2xIMaOHYuPjw+fffYZI0eOJD4+nnLlytGnTx+j+AHQtWtXnn/+eQDeffddPD09+eGHH9i/fz9ubm507NgRgKeeeoqBAwfSt29fhg0bZsRcu3btLMfUpk0bnnrqKQCaNWvGxo0bAdi5cyfW1tb06dMHk8mEm5sb3bp1Y+HChRm2c/HiRUqVKpXm2LBhw9ixYwcASUlJhISE0LVrV7Zs2cLMmTONfjt27MjmzZvZsmULVatWJSoqivXr11O4cGEAQkND8fb25ueff2bv3r1UqVLFGK+GDRumWU5YoEABvv/+e7Zu3Urt2rVZsGCBsfH539WuXZv169ezcuVKli5dSmRkJE888QTNmzdn8ODBFCpUKN0969ev580336Ry5coAvPzyy3z++eesW7fOKB41adIEBwcH4G4hsEKFCnTo0AGAZ599lq5du/Lxxx9nWjy6cOGCsbTQbDZjb29P1apVmT9/Pvb29sZ1bdq0wdbWFltb2wfGVbx4cQ4dOsTnn39O4cKFKVy4ML17905TJHuQjRs30rhxY6MwWK9ePVauXEnJkiW5evVqltoQyYyjY/r/zuTx5ODwaPv+yeNLubVcyq3lUm4tl3JruZTb/OEfFY9ymslkokWLFrRo0QKz2cypU6f49NNPGTx4ME5OTkbR515RBaBgwYIULVqUmJgYrl69mq6YVbZsWW7fvm38I97Z2TlbMZUoUcJ4b2NjYyynunjxIqVLl05TeHlQIc3Z2Zm9e/emOfbBBx/wwQcfABAcHExKSgrXrl0jKSmJsmXLpnuO8+fPU7p0aRwdHY3CEUDhwoUpWrQo0dHRXLp0idKlS6e5t1y5csbStREjRjB37lwWLlzI0KFDqVSpEiNGjMh0n6dKlSoxZswYAGJjY/nuu++YNGkSN2/eZNKkSemuv3LlSoY5OHnyZJqxuCc6Oprjx4+n6T81NRVra+sM44G7ex7t3Lkz0/MZ9fOguC5dumS0e0+5cuUe2v49ly9f5oUXXkhz7F6hTORRxcXdyOsQ5CGsrU04OBTk+vVbpKSk5nU4koOUW8ul3Fou5dZyKbeWS7l9PGT1l9Z5Xjz65ptv6Nu3L19//TVFixbFysqKZ599loEDB/Ltt99y4sQJo3h07x/7ADdu3CAuLg4XFxfKlCljzOS5JzIyEjs7O5588kmATJeVZVfp0qW5cOECZrPZaPPChQuZXt+4cWNmzJjBt99+i6+vb6bXlShRggIFChAVFUWFChXSPEdAQABlypQhLi6OhIQEo4AUHx9PXFwcTk5OlCpVKs23ocHdQleBAgWAu/s0tWvXjj59+hAbG8vMmTPp3bt3mr2c7qlfvz7du3c3ZgUVK1aMpk2bEhcXx+rVqzOMv0yZMkRFRaU5FhUVlaaQc38OSpUqhY+PT5oZW3Fxcdy48ej/YL6/nwfFdW9G2P1jfv83/N0rZN2/8fX9+0i5uLiky/2iRYuoUaPGIz+DSHKy/gLNL1JSUpUvC6XcWi7l1nIpt5ZLubVcym3+kK3FhVu3bjU2oc4pXl5eFC9enHfffZdff/2VpKQkEhIS2LRpE2fPnqV+/frGtYsXL+bcuXPcunWL8ePHU758edzd3QkMDOTUqVMsXbqUxMREIiMjmTp1Ks2aNcPOzi7Dfu3s7IiPj892vAEBAZjNZubMmUNiYiKnT5/OdMkawHPPPUe/fv14++23Wbt2rdFnVFQUEyZM4PDhwzg5OWEymWjdujVTp07l3LlzJCYmsnTpUv744w8CAwOpWrUqzz77LKNGjSI+Pp74+HhGjx5NuXLlqFmzJs2bN+e3335jzZo1JCcns3fvXr744gsjjjlz5vD++++TkJCAg4MDBQsWxNHRMcOYmzdvzuzZs/n666+Jj48nOTmZkydPsm7dOho3bgxgFKXuPU/btm2ZN28ex48fJyUlhW3btrFz505atWqVYR/NmjXjxx9/ZNOmTSQnJxsbV2e2B9U/9aC4SpcuTZ06dRg/fjzXrl0jJiaGGTNmGPcWL16cJ598kq1bt2I2mzl+/Djbt283zrdq1YovvviCvXv3kpqayjfffEN4eDhFihRJNz4iIiIiIiIi+VW2Zh6FhoYaxYOcYm9vz8qVK5kxYwY9e/bk6tWr2NraUqNGDRYvXpxmFo6Hhwe9evXiwoULeHl5MW/ePEwmE2XLlmXBggVMnTqV8PBw7O3tadq0Kf3798+035dffpkBAwZQv379dDN2HuSJJ55g1qxZjBkzhrlz5/L000/j6+vLvn37Mr2nZ8+eVK9eneXLl/Phhx9y48YNihQpgpeXF8uWLTOWbg0ePJjw8HA6derEX3/9hZubGwsXLuSZZ54BYO7cuYSFhdGkSRMSExN58cUXWbx4MTY2Nri6ujJnzhzCwsIYN24clStXplGjRkYMY8aMITQ0lAYNGpCYmEiVKlWYPn16hvEOGDAAZ2dnwsPDOXPmDGazmbJly9KmTRtjX6nnnnsODw8P6taty/Tp0+ncuTOpqakMGDCAmJgYnnrqKaZOnYq3t3eGfZQpU4YFCxYwefJkxo4di7W1NfXr12f48OFZzkVWPCyuKVOmEBoair+/P4ULFyYoKIijR48CdwuM77//Ph999BELFy6kSpUqvPLKKxw+fBi4++dxwoQJTJgwgejoaMqUKcPUqVOpWLEiN2/eTDM+GW2YLiIiIiIiIpIfWJmz8d3oXbt2pXnz5rRo0SI3Y8pQQEAAvXv3Jigo6F/v+35xcXGcPn0aDw8P49jy5cvZunUrq1atysPIJN9bmTNLK8UyxDS6ntchyEPY2JhwdCxEXNwNTbW2MMqt5VJuLZdya7mUW8ul3D4enJyKZOm6bC1b++uvvxgyZAjVqlUjICCABg0aGK//ipSUFDp27Mju3bsBOH/+PCtXrkzzzWYiIiIiIiIiIpYiW8vWXn/99dyKI98oUaIEH374IZMnT6Z///44ODjQqlUrunbtmtehiYiIiIiIiIjkuGwtW7tfbGwsxYoVy+l4RP7TNGXT8mg6ruVSbi2Xcmu5lFvLpdxaLuXWcim3j4dcWbaWnJzMtGnT8PDwICAggKioKFq3bk1MTMw/ClJERERERERERB5v2SoehYeHs3//fqZPn46trS3FixenVKlSjB07NrfiExERERERERGRPJStPY82b97MJ598QsmSJbGysuKJJ55g/Pjxab4SXkRERERERERELEe2Zh7dvHnT2Ofo3lZJ9vb2mEzZakZERERERERERPKJbFV9atSowYwZMwCwsrICYPny5VStWjXnIxMRERERERERkTyXrWVrw4cPp2PHjmzYsIEbN27w8ssvc+PGDRYvXpxb8YmIiIiIiIiISB7KVvHI1dWVrVu3smvXLqKjoylVqhT169encOHCuRWfiIiIiIiIiIjkoWwVjwAKFCiAi4sLJpOJMmXKqHAkIiIiIiIiImLBslU8OnfuHCEhIZw/f56iRYsSFxfHCy+8wMyZM3F2ds6tGEVEREREREREJI9ka8Ps999/n1q1anHo0CH27t3LgQMHePbZZxkzZkxuxSciIiIiIiIiInkoWzOPfvrpJ2bNmoWdnR0AhQsXZuTIkdSvXz83YhMRERERERERkTyWrZlHZcqUITIyMs2xixcvUrRo0ZyMSUREREREREREHhNZmnm0ceNGAGrWrEn37t3p2rUrZcqU4fLlyyxatIiGDRvmZowiIiIiIiIiIpJHslQ8+uijj4z3VlZWLFq0KM357du388477+RsZCIiIiIiIiIikueyVDzauXNnbschIiutcMzrGCTXPGpuYxpdz5E4REREREREsitbG2YDHDp0iOjoaMxmc5rjLVu2zKmYRERERERERETkMZGt4tGoUaNYt24dzs7OWFlZGcetrKxUPBIRERERERERsUDZKh599tlnrF69mipVquRWPPIvSUlJ4cKFC7i6uuZpG5ZM4yMiIiIiIiKWIFvFoyJFivDcc8/lViySRQEBAcTExGBjczd9ZrOZwoUL06xZM9555x1MJtND2xgwYAAVK1akT58+GZ7/888/mTp1Kt9++y03b97E0dGRgIAA+vXrh4ODQ5bayGk58dxZERwcjLe39yM/1789PiIiIiIiIiK5IVvFo549ezJ8+HC6du1qFBDuKV26dI4GJg8WGhpKUFCQ8fnXX3+lU6dOFCxYkL59+z70/ri4uEzPpaam0qVLF3x9fdm+fTsODg5ERUUxbNgw+vbty5IlSx7aRm551Of+N+XF+IiIiIiIiIjktGwVj+7cucNnn33Gli1bjGNmsxkrKyt++eWXHA9Oss7NzQ0vLy9OnDgBQGJiIrNnz2bTpk3Ex8dTvXp1RowYwVNPPcXw4cM5dOgQR44c4fjx48yZMydNW3FxcZw+fZoPPvjAKBK6uroyYsQIli5dSkpKCiNHjkzXxq+//srkyZM5evQo9vb2BAQEMHDgQIoUKUJERAQff/wxRYsW5dixY4waNYomTZpkGuM/fe7g4GDKlCnDgQMHMJvNbNmyhejo6EzjAli7di1z5swhNjaWxo0bc+vWLaP9oUOHAhAWFpamz2XLluHj40NsbCwffPABu3fvxmQy8eKLLzJ69GgmTpz4wDEWERERERERyS+yVTyaNWsWI0aMoE6dOjm2REgeXVJSEj/88AP79+83lkhNmzaN/fv3s2TJEpydnZk/fz5dunThs88+Y9y4cURGRma6NKt48eLUqlWL3r1706xZMzw9PalevTpubm588MEHAOnaiIuL44033iAoKIjw8HDi4+MZNGgQgwcPZvbs2QAcP36csLAw5syZQ2pq6gNjLFCgwD96boDvvvuOtWvXUrBgQZKSkh4Y1759+xgzZgzz5s3Dy8uLNWvWsHHjRvz8/LI09v369aNQoULs2LEDW1tb+vXrR2hoKFOnTn3gGItkl42N/p/7uLG2NqX5KZZDubVcyq3lUm4tl3JruZTb/CVbxaOUlBRee+213IpFsiE0NNQo5ACUKlWKzp078/rrr2M2m1m1ahUfffSRsVlzr169WLNmDbt27aJJkyYPbX/+/PmsXbuWL774glWrVnHr1i0qVarEoEGDqFu3brrrv/rqK2xtbRk0aBDW1tbY29vz3nvvERgYSExMDAC2tra0aNECk8n0j2N80HPfU69ePUqWLAnAunXrHhjXpk2baNy4MbVr1wagffv2rF279qHjAxAdHc3BgwfZvn07jo6OwN0ZSn/99VeW7hfJDkfHQnkdgmTCwaFgXocguUS5tVzKreVSbi2Xcmu5lNv8IVvFo6CgIJYtW8Ybb7yRW/FIFo0aNSrN3j/3u3r1Kjdv3qRfv35pZoglJSURHR2dpfbt7Ozo0KEDHTp0ICUlhZMnT7Jy5Up69OjB5s2bKV++fLo+S5cujbW1tXGsbNmyAEafTk5ORjyxsbH/KMYHPfc9zs7OWY7r0qVLVK5cOc39Wf12tHtFsTJlyhjHnJyccHJyytL9ItkRF3cjr0OQv7G2NuHgUJDr12+RkpKa1+FIDlJuLZdya7mUW8ul3Fou5fbxkNVfUmereHTs2DEWL17M9OnTefLJJ7GysjLOffXVV9mLUHKNo6MjBQoUYNGiRdSoUcM4fvr0aWNGzoOsWbOGGTNm8PXXX2NtbY21tTWVK1dm3LhxfPnll/z222/pikdlypThwoULpKSkGIWayMhI4G5B5fTp02n+vDxqjA9yfz8Pi6tUqVJERUWluf/ixYtUrFgRAJPJxJ07d4xzsbGxxnsXFxcALly4wNNPPw3AH3/8wZYtW+jfv/8jPYPI3yUn6y/Ux1VKSqryY6GUW8ul3Fou5dZyKbeWS7nNH7K1uLBNmzaMHz+eESNG0KdPH3r37m285PFhMplo06YNU6ZM4eLFi6SmprJhwwaaNm3KuXPngLszi+Lj4zO8v379+ty5c4dRo0Zx9uxZUlJS+Ouvv1i8eDEA3t7e6dq4t0fQ5MmTuX37NjExMYwbN45atWqlmZmTnRhzwsPiat26NV9++SVff/01ycnJbNiwgaNHjxr3V6hQgUOHDnHp0iVu377NzJkzjeJUyZIl8fX1ZeLEiVy/fp2EhAQmTZpkFKMeNMYiIiIiIiIi+UW2Zh61atUqt+KQHDZkyBDCw8Np3749f/31F66urnz00Ue88MILALRs2ZLRo0fz888/s3LlyjT3Ojs7s2rVKmbMmEFwcDDXrl2jYMGC+Pj4sHLlSooVK5ZhG4sXLyYsLMwo2DRo0IDBgwf/4xhzQpEiRR4Yl4eHBxMnTiQsLIwBAwZQq1YtfH19jfvbtWvHTz/9RPPmzbGzs6Njx46ULl3aOD958mTCwsJ46aWXSE5OJiAggOHDh2c4PiIiIiIiIiL5kZXZbDZn9eLg4OA0S4Lut2zZshwLSuQ/aWXG/22JAMQ0up7XIcjf2NiYcHQsRFzcDU21tjDKreVSbi2Xcmu5lFvLpdw+HpycimTpumzNPPLx8UnzOS4uju3bt9OuXbvsNCMiIiIiIiIiIvlEtopHGe1tFBQUxMSJE3MsIBEREREREREReXxkq3iUkcqVK/Pzzz/nRCwi/23tzZqyaYE0HVdERERERPK7bBWPLly4kOZzUlISW7duNb6yXERERERERERELEu2ikcBAQFpNsw2m808+eSTjB07NscDExERERERERGRvJet4tFXX32V5rO1tTXFixfH1tY2R4MSEREREREREZHHQ7aKR2XKlMmtOERERERERERE5DGUpeLR35er/Z2VlRVffvlljgUlIiIiIiIiIiKPhywVj/r06ZPh8R9//JHVq1fzwgsv5GhQIiIiIiIiIiLyeMhS8ahVq1bpji1atIj169fz2muv8e677+Z4YCIiIiIiIiIikveytecRwPXr1xkyZAiHDh1i0qRJvPTSS7kRl4iIiIiIiIiIPAayVTz68ccfGTBgAI6OjkRERODq6ppbcYmIiIiIiIiIyGPAlNULFyxYQHBwMA0aNGDVqlUqHImIiIiIiIiI/AdkaeZRjx492L17N6+//jqNGzfm6NGj6a7x8vLK8eBERERERERERCRvZal4tGvXLgCWL1/O8uXL0523srLil19+ydHAREREREREREQk72WpeHTy5MncjkNERERERERERB5DWd7zSERERERERERE/nuy9W1rIpKLVlrhmNcxSK7Jj7mNaXQ9r0MQEREREZHHgGYeiYiIiIiIiIhIplQ8EhERERERERGRTKl49Bi5c+cOFy9ezOswsuzs2bN5HcJjTeMjIiIiIiIilkDFo0dw5swZhgwZQr169XB3d6dhw4ZMnjyZGzduGNe4ublx4MCBLLXXvn17vvvuOwAOHDiAm5tbptfOmTOHbt26PdoDZCIxMZEpU6bQsGFD3N3dqVWrFn369OHUqVPGNStWrOC9997Llf4zMnToUCpXroy7u7vx8vLyok+fPsTGxuZYP+Hh4QQHBz9yO//2+IiIiIiIiIjkFhWP/qEffviBVq1aUaZMGTZu3MiRI0eYP38+R48epUuXLqSkpGS7zbi4uCxf26NHDxYsWJDtPrLi/fff58iRIyxZsoQjR46wY8cOSpUqRYcOHbh+/e4GujlZsMmqZs2aceTIEeP1+eefc+XKFfr27fuvx/IweTE+IiIiIiIiIrlBxaN/aOTIkbRs2ZK+fftSrFgxAJ555hmmTZtG8eLFiYqKSndPXFwc7733HnXq1MHHx4eQkBBjaVOXLl24cOECo0aNYsyYMcY9CxcupFGjRtSoUYO+ffuSkJAApJ0hExERwWuvvcbYsWOpVasWtWvXZvjw4SQlJQGQkpLChx9+iK+vLy+++CKjRo3i1VdfJSIiIsNnO3z4MHXr1qVs2bIAODg4MHjwYPz9/YmJiWHDhg3MnTuXQ4cO4enp+dBnO3/+PG5uboSFheHl5UVoaCgAW7dupVmzZnh4eBAUFMTevXuzlYNixYoRGBjI8ePHjTHp0qULrVu3xtvbm++///6BccHdImDr1q2pUaMGr776KufPnzfORUREEBAQkKbP4OBgwsPDAUhOTmb69On4+flRs2ZNOnTowMmTJzMcHxEREREREZH8yiavA8iPIiMj+f333xk9enS6cyVKlGDWrFkZ3te3b19MJhMbNmygSJEiTJ8+nU6dOrFlyxYWLVpEQEAAvXv3JigoyFjqFh0dzZYtW/jrr79o27YtK1asICQkJF3bP/zwA/Xq1eObb77hl19+oWPHjrz44osEBgaycOFCNm3axNKlSylXrhzh4eEcOXKEV155JcM4AwMDmTFjBmfOnKFWrVpUr16dZ555hvHjxwNQoUIFzp8/z8GDB1m+fPlDn+2eGzdu8O2333L79m12797NqFGjmD17NjVr1mTPnj306dOHNWvWULFixYfmwGw2c+bMGTZu3EidOnWM4/v27WPRokVUq1aNAgUK0Llz50zjSkpKIiQkhO7du9O5c2eOHTvGm2++yQsvvPDQ/gFmz57Nli1bWLhwIc888wwzZswgJCSEnTt3phsfkfzIxka/X3gQa2tTmp9iOZRby6XcWi7l1nIpt5ZLuc1fVDz6B+4tSSpRokSW74mKiuLgwYNs3boVJycnAAYNGsTmzZvZvXs3gYGBGd7Xp08fChQoQMmSJfHy8iIyMjLD6+zt7enRowdWVlZUq1YNNzc3zpw5A8C6det48803efbZZwHo378/GzZsyDTWXr168fzzz7Nx40YmTJhAbGwszs7OdO3alU6dOmX72apXrw5Ay5YtsbOzw87Ojo8//pjXXnsNLy8vAPz9/QkICGDVqlWZ7hW0ZcsWvvzyS+Bu8ejJJ5/E19eXQYMGGde4urpSu3btLMWVmJhIwYIF6d69O1ZWVnh4eNC6dWt++eWXTMfmfhs2bCAkJMQY1549e+Ln54fZbM7S/SKPO0fHQnkdQr7g4FAwr0OQXKLcWi7l1nIpt5ZLubVcym3+oOLRP3CvEBETE8PTTz+d7vyVK1fSFZauXLkC3C1u3PP/2rvz8Jruvf//r51JYggRGYjS1pC2ioRIEBpzDKERc9vUULNWOaWKClrHVIfbiRoaEY3WqTZNTaVaUzktaalTqqXar95JKIIgiZBp//5w2z85bEkJW5bn47pyyV7je3/eF9v12p+1lr29vapWraoTJ05YPZebm5vld0dHR6v3UnJ3d5fJZCq07fUQ488//5SPj0+h81arVs3qOSWpTZs2lku2kpOT9eWXX2revHkqV66cevXq9Zfe2/XwyNPT07L+xIkT+u677/Svf/3Lsiw/P19Nmza1WlNYWJhmz55927pvPEdRdRUUFKhq1aqFxq1GjRrFDo/S0tIKjaOTk5P8/PyKtS9QGqSnZxW90UPM3t5Orq4uunQpW/n5BbYuByWI3hoXvTUuemtc9Na46O2DobhfGBMe3QEfHx/VrVtXmzZtssycue7cuXNq3bq1Zs2apbCwsEL7SNeCmOuXZeXn5+vkyZOWMOpeqVatmk6ePGl5bTab9eeff95y299//13h4eH69NNPVbduXUnXApXBgwfrxx9/vGWwUtz3dmNI4+3trfDwcA0dOtSy7OTJk3J2dr6Ld1r4HEXVZTKZLCGSnd21qZKnTp2y7G9nZ6ecnJxCx7/xpuZVq1YtNI65ubl655137tlT8ID7LS+PD/HiyM8vYKwMit4aF701LnprXPTWuOht6cDFhXdoypQp+vTTT7Vo0SKlp6fLbDbrl19+0fDhw1WvXj2FhoYW2t7T01MhISGaMWOG0tLSdOXKFc2bN0/5+flq3bq1pGszVzIyMkq81j59+mjFihU6fvy4cnJy9O677+rMmTO33Pbxxx9XvXr1FBUVpYMHD+rq1avKzs7W119/raSkJLVv316SVKZMGWVmZspsNhfrvf233r17Kz4+XgcPHpQkHTp0SBEREYXukXS3iqqrTZs2MpvNio6OVk5Ojn766Sd98sknlv1r1aqls2fPau/evTKbzVq3bp1+//13y/qIiAjFxsbq+PHjysvL07Jly7R161a5ubkVGh8AAAAAAEozZh7docDAQH3wwQdaunSpunTpouzsbFWpUkUdO3bUsGHD5OjoeNM+c+fO1bx589S9e3ddvnxZfn5+ev/991WpUiVJUs+ePbVgwQIdOnTopkvD7kb//v2Vlpamvn37yt7eXp07d5a3t/ctazSZTIqJidHixYs1fvx4nT59WnZ2dnryySf1zjvvWO4n1Lp1a/3rX/9S48aNtXPnztu+t+tPiLtRx44ddfnyZU2aNEknT55UpUqVNGDAAMsT5EpKUWMeGxuradOmKS4uTjVr1lRoaKjlXlH169fXiBEj9MYbbygrK0vt2rUrFAoOHjxYeXl5eumll3Tx4kXVr19fMTExcnR0vGl8XF1dS/R9AQAAAABwv5jMTI0wvB9//FE+Pj6W+zCZzWY1bdpU8+fPV3BwsI2rg8VqU9HbAPdRWvtLti7hgebgYCc3t3JKT89iqrXB0FvjorfGRW+Ni94aF719MHh4VCjWdly29hDYsGGDXn/9dWVkZCgvL09xcXGSxM2dAQAAAABAkQiPHgJjxoxRlSpV1L59ewUGBmrHjh2KjY1VuXI8hhsAAAAAANwe9zx6CJQvX15z5861dRkoynNmpmwaENNxAQAAAJR2zDwCAAAAAACAVYRHAAAAAAAAsIrwCAAAAAAAAFYRHgEAAAAAAMAqwiMAAAAAAABYRXgEAAAAAAAAqwiPAAAAAAAAYBXhEQAAAAAAAKwiPAIAAAAAAIBVhEcAAAAAAACwivAIAAAAAAAAVhEeAQAAAAAAwCrCIwAAAAAAAFhFeAQAAAAAAACrHGxdAID/s9okN1vXgHumNPc2rf0lW5cAAAAAwIaYeQQAAAAAAACrCI9KoatXr+rUqVO2LkMZGRk6f/68rct4YDE+AAAAAAAjIDz6P8ePH9eECRP0zDPPyN/fX+3atdO8efOUlZVl69Ju8txzz+nbb7+VJO3bt0/+/v4lfo79+/dr4MCBCggIkL+/v8LCwrRixQqZzWbLNu3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+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "top_products = df.groupby(\"product_name_re\")[\"quantity\"].sum().sort_values(ascending=False)\n",
+    "\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "top_products.plot(kind=\"barh\", color=\"orange\")\n",
+    "plt.title(\"Best Selling Products\")\n",
+    "plt.ylabel(\"Number of Sales\")\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data on the purchase volume in different categories shows that supermarket products have the highest purchase volume, which can be justified due to the daily need and easy access to these products. After that, chain store products are in second place, which indicates that customers welcome various purchases in a single place. Florist products and toys are also in the next positions, which could be due to gifts and special occasions. Electronics, home appliances and jewelry have faced the lowest purchase volume, which is probably due to their higher price and periodic purchases. Accordingly, chain stores and supermarkets can increase their sales with special offers and discount schemes, and stores with lower purchase volumes can focus on providing installment terms and targeted promotions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pro=df['total_amount'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Total sales of all products : 51934516331.19\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'Total sales of all products : {pro}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def skew_df(dff,name):\n",
+    "    dff[f'{name}_reciprocal'] = (1 / (dff[name] + 1)) \n",
+    "    dff[f'{name}_sqrt'] = np.sqrt(dff[name]) \n",
+    "    dff[f'{name}_log'] = np.log1p(dff[name])  \n",
+    "    name_df = skew(dff[name]) * 10 \n",
+    "    name_reciprocal = skew(dff[f'{name}_reciprocal'])\n",
+    "    name_sqrt = skew(dff[f'{name}_sqrt'])\n",
+    "    name_log = skew(dff[f'{name}_log'])\n",
+    "    \n",
+    "    return name_df,name_reciprocal,name_sqrt,name_log"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def skew_hist(dff,col,skew_name):\n",
+    "    fig, axs = plt.subplots(1, 2, figsize=(14, 5))\n",
+    "    sns.histplot(dff[col], bins=20, color='skyblue', kde=True, ax=axs[0], edgecolor='black')\n",
+    "    axs[0].set_title(f'Distribution of {col}')\n",
+    "    axs[0].set_xlabel(f'{col}')\n",
+    "    axs[0].set_ylabel('Frequency')\n",
+    "\n",
+    "    sns.histplot(dff[skew_name], bins=20, color='lightgreen', kde=True, ax=axs[1], edgecolor='black')\n",
+    "    axs[1].set_title(f'Distribution of {skew_name}')\n",
+    "    axs[1].set_xlabel('Total Log')\n",
+    "    axs[1].set_ylabel('Frequency')\n",
+    "\n",
+    "    plt.tight_layout()\n",
+    "\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "super_ma=df[df['product_name_re']=='Supermarket Product']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "super_amount_df,super_amount_reciprocal,super_amount_sqrt,super_amount_log = skew_df(super_ma,'total_amount')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Skewness of original campaign: 5.732896645230228\n",
+      "Skewness after reciprocal transformation: 2.5801579336360505\n",
+      "Skewness after sqrt transformation: 0.04701404234449556\n",
+      "Skewness after log transformation: -0.6169275596282532\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Skewness of original campaign:', super_amount_df)\n",
+    "\n",
+    "print('Skewness after reciprocal transformation:', super_amount_reciprocal)\n",
+    "\n",
+    "print('Skewness after sqrt transformation:', super_amount_sqrt)\n",
+    "\n",
+    "print('Skewness after log transformation:', super_amount_log)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1400x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "skew_hist(super_ma,'total_amount','total_amount_log')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 188,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chain_store=df[df['product_name_re']=='Chain Store Product']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 189,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chain_amount_df,chain_amount_reciprocal,chain_amount_sqrt,chain_amount_log = skew_df(chain_store,'total_amount')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Skewness of original campaign: 6.776417961608106\n",
+      "Skewness after reciprocal transformation: 5.355720357405778\n",
+      "Skewness after sqrt transformation: 0.09186294088621395\n",
+      "Skewness after log transformation: -0.6458200226685086\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Skewness of original campaign:', chain_amount_df)\n",
+    "\n",
+    "print('Skewness after reciprocal transformation:', chain_amount_reciprocal)\n",
+    "\n",
+    "print('Skewness after sqrt transformation:', chain_amount_sqrt)\n",
+    "\n",
+    "print('Skewness after log transformation:', chain_amount_log)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 191,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1400x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "skew_hist(chain_store,'total_amount','total_amount_log')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 192,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 5))\n",
+    "sns.barplot(x=df[\"unit_price\"], y=df[\"store\"])\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.title(\"Average Unit Price per Store\")\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Products such as jewelry, electronics, home appliances, and florists are expensive."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 193,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "top_products = df.groupby(\"product_name\")[\"quantity\"].sum().reset_index()\n",
+    "top_products = top_products.sort_values(by=\"quantity\", ascending=False).head(30)\n",
+    "\n",
+    "plt.figure(figsize=(12, 5))\n",
+    "sns.barplot(data=top_products, x=\"quantity\", y=\"product_name\", palette=\"magma\")\n",
+    "plt.title(\"Top 10 Best-Selling Products\")\n",
+    "plt.xlabel(\"Quantity Sold\")\n",
+    "plt.ylabel(\"Product Name\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Supermarkets, flower shops, and chain stores account for the majority of Iranian transactions, but most of the high-volume transactions are for supermarkets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 5))\n",
+    "sns.scatterplot(data=df, x=\"quantity\", y=\"total_amount\", alpha=0.5, color=\"purple\")\n",
+    "plt.title(\"Relationship Between Quantity and Total Amount\")\n",
+    "plt.xlabel(\"Quantity\")\n",
+    "plt.ylabel(\"Total Amount\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Most transactions were between 1 and 5, and there were very few transactions above 5."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 195,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df[\"discount_amount\"] = df[\"total_price\"] - (df[\"unit_price\"] * df[\"quantity\"])\n",
+    "df[df['discount_amount']>0]['product_name_re'].value_counts().plot.barh()\n",
+    "\n",
+    "plt.title('Product Count with Discount')\n",
+    "\n",
+    "plt.xlabel('Product Count')\n",
+    "plt.ylabel('Product Name')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Supermarkets, chain stores, and florists have the largest number of discounted products."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Grouping"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Grouping customers based on their purchase amount"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 196,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_spending = df.groupby('user_id')['total_amount'].sum().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "customer_spending[\"log_total_amount\"] = np.log1p(customer_spending[\"total_amount\"])\n",
+    "q1 = customer_spending[\"log_total_amount\"].quantile(0.33)\n",
+    "q2 = customer_spending[\"log_total_amount\"].quantile(0.66)\n",
+    "q3 = customer_spending[\"log_total_amount\"].max()\n",
+    "bins = [0, q1, q2, q3]\n",
+    "labels = [\"Low Spender\", \"Regular Spender\", \"VIP\"]\n",
+    "customer_spending[\"category\"] = pd.cut(customer_spending[\"log_total_amount\"], bins=bins, labels=labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 198,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>total_amount</th>\n",
+       "      <th>log_total_amount</th>\n",
+       "      <th>category</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4.114019e+09</td>\n",
+       "      <td>22.137666</td>\n",
+       "      <td>Low Spender</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>4.824619e+09</td>\n",
+       "      <td>22.296998</td>\n",
+       "      <td>VIP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>4.897524e+09</td>\n",
+       "      <td>22.311996</td>\n",
+       "      <td>VIP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>3.333319e+09</td>\n",
+       "      <td>21.927234</td>\n",
+       "      <td>Low Spender</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>4.167616e+09</td>\n",
+       "      <td>22.150610</td>\n",
+       "      <td>Regular Spender</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3.797353e+09</td>\n",
+       "      <td>22.057570</td>\n",
+       "      <td>Low Spender</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>4.731971e+09</td>\n",
+       "      <td>22.277608</td>\n",
+       "      <td>VIP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>4.452082e+09</td>\n",
+       "      <td>22.216638</td>\n",
+       "      <td>Regular Spender</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>3.356738e+09</td>\n",
+       "      <td>21.934235</td>\n",
+       "      <td>Low Spender</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>4.654176e+09</td>\n",
+       "      <td>22.261031</td>\n",
+       "      <td>Regular Spender</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>5.236716e+09</td>\n",
+       "      <td>22.378960</td>\n",
+       "      <td>VIP</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>4.368383e+09</td>\n",
+       "      <td>22.197659</td>\n",
+       "      <td>Regular Spender</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    user_id  total_amount  log_total_amount         category\n",
+       "0         1  4.114019e+09         22.137666      Low Spender\n",
+       "1         2  4.824619e+09         22.296998              VIP\n",
+       "2         3  4.897524e+09         22.311996              VIP\n",
+       "3         4  3.333319e+09         21.927234      Low Spender\n",
+       "4         5  4.167616e+09         22.150610  Regular Spender\n",
+       "5         6  3.797353e+09         22.057570      Low Spender\n",
+       "6         7  4.731971e+09         22.277608              VIP\n",
+       "7         8  4.452082e+09         22.216638  Regular Spender\n",
+       "8         9  3.356738e+09         21.934235      Low Spender\n",
+       "9        10  4.654176e+09         22.261031  Regular Spender\n",
+       "10       11  5.236716e+09         22.378960              VIP\n",
+       "11       12  4.368383e+09         22.197659  Regular Spender"
+      ]
+     },
+     "execution_count": 198,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customer_spending"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Grouping analysis:**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "\n",
+    "| **Cluster**         | **User IDs**      | **Characteristics**                                                                                   | **Recommendations**                                                                                       |\n",
+    "|---------------------|-------------------|-------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n",
+    "| **VIP**             | 2, 3, 7, 11       | High spenders, variety of purchases                                                                    | Provide exclusive offers, special discounts, and personalized services to maintain loyalty.               |\n",
+    "| **Regular Spender** | 5, 8, 10, 12      | Average spenders, diverse product reviews and purchases                                               | Encourage purchases through special offers and discounts.                                                 |\n",
+    "| **Low Spender**     | 1, 4, 6, 9        | Low spenders, fewer purchases, low spending                                                           | Attract them with discounts, coupons, and loyalty incentives to increase purchases and loyalty.           |\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"log_total_amount\"] = np.log1p(df[\"total_amount\"])\n",
+    "q1 = df[\"log_total_amount\"].quantile(0.33)\n",
+    "q2 = df[\"log_total_amount\"].quantile(0.66)\n",
+    "q3 = df[\"log_total_amount\"].max()\n",
+    "bins = [0, q1, q2, q3]\n",
+    "labels = [\"Low Spender\", \"Regular Spender\", \"VIP\"]\n",
+    "df[\"category\"] = pd.cut(df[\"log_total_amount\"], bins=bins, labels=labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df['category'].value_counts().plot.pie(autopct='%1.1f%%')\n",
+    "plt.title('Category Distribution')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Grouping customers based on their purchases at different times of the day"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def time_of_day(hour):\n",
+    "    if 6 <= hour < 12:\n",
+    "        return \"morning\"\n",
+    "    elif 12 <= hour < 18:\n",
+    "        return \"noon\"\n",
+    "    elif 18 <= hour < 24:\n",
+    "        return \"evening\"\n",
+    "    else:\n",
+    "        return \"night\"\n",
+    "\n",
+    "df[\"hour\"] = df[\"transaction_time\"].apply(lambda x: x.hour)\n",
+    "df[\"time_category\"] = df[\"hour\"].apply(time_of_day)\n",
+    "\n",
+    "time_pattern = df[\"time_category\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 202,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "time_pattern.plot.barh()\n",
+    "plt.title('Transaction Time Pattern')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 239,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>time_category</th>\n",
+       "      <th>total_amount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>11</td>\n",
+       "      <td>evening</td>\n",
+       "      <td>1.781691e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>7</td>\n",
+       "      <td>morning</td>\n",
+       "      <td>1.741639e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>3</td>\n",
+       "      <td>night</td>\n",
+       "      <td>1.596138e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>10</td>\n",
+       "      <td>noon</td>\n",
+       "      <td>1.521961e+09</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    user_id time_category  total_amount\n",
+       "40       11       evening  1.781691e+09\n",
+       "25        7       morning  1.741639e+09\n",
+       "10        3         night  1.596138e+09\n",
+       "39       10          noon  1.521961e+09"
+      ]
+     },
+     "execution_count": 239,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "time_pattern_user_purchases = df.groupby(['user_id', \"time_category\"])['total_amount'].sum().reset_index()\n",
+    "\n",
+    "max_time_pattern_purchases = time_pattern_user_purchases.loc[time_pattern_user_purchases.groupby(\"time_category\")['total_amount'].idxmax()]\n",
+    "\n",
+    "max_time_pattern_purchasess = max_time_pattern_purchases.sort_values(by=\"time_category\")\n",
+    "\n",
+    "max_time_pattern_purchasess"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**The grouping analysis table is as follows:**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\">\n",
+    "  <thead>\n",
+    "    <tr>\n",
+    "      <th>User ID</th>\n",
+    "      <th>Time Category</th>\n",
+    "      <th>Total Amount</th>\n",
+    "      <th>Analysis</th>\n",
+    "    </tr>\n",
+    "  </thead>\n",
+    "  <tbody>\n",
+    "    <tr>\n",
+    "      <td>40</td>\n",
+    "      <td>Evening</td>\n",
+    "      <td>1.781691e+09</td>\n",
+    "      <td>This user makes the highest purchases in the evening time category, suggesting they are most active during these hours. It indicates evening as a peak buying time for this user.</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <td>25</td>\n",
+    "      <td>Morning</td>\n",
+    "      <td>1.741639e+09</td>\n",
+    "      <td>This user has a significant amount of purchases in the morning, showing a preference for early hours. This could be linked to morning routines or specific product availability.</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <td>10</td>\n",
+    "      <td>Night</td>\n",
+    "      <td>1.596138e+09</td>\n",
+    "      <td>This user tends to make purchases during the night, possibly reflecting a late-night shopping habit. There might be specific products or promotions attracting them during these hours.</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <td>39</td>\n",
+    "      <td>Noon</td>\n",
+    "      <td>1.521961e+09</td>\n",
+    "      <td>This user shows a preference for noon, which might correlate with lunchtime shopping or break-time online purchasing behavior.</td>\n",
+    "    </tr>\n",
+    "  </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Display pairs of purchases for each customer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from itertools import combinations\n",
+    "from collections import Counter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user1=df[df['user_id']==1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(('Florist Store Product 40', 'Florist Store Product 41'), 2),\n",
+       " (('Florist Store Product 16', 'Florist Store Product 47'), 2),\n",
+       " (('Jewelry Store Product 2', 'Jewelry Store Product 48'), 2),\n",
+       " (('Supermarket Product 140', 'Supermarket Product 55'), 2),\n",
+       " (('Pet Store Product 22', 'Pet Store Product 36'), 2),\n",
+       " (('Sporting Goods Store Product 100', 'Sporting Goods Store Product 106'), 2),\n",
+       " (('Sporting Goods Store Product 100', 'Sporting Goods Store Product 74'), 2),\n",
+       " (('Pet Store Product 20', 'Pet Store Product 7'), 2),\n",
+       " (('Sporting Goods Store Product 44', 'Sporting Goods Store Product 76'), 2),\n",
+       " (('Pet Store Product 21', 'Pet Store Product 25'), 2)]"
+      ]
+     },
+     "execution_count": 205,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "transactions = user1.groupby(\"transaction_id\")[\"product_name\"].apply(list)\n",
+    "\n",
+    "product_combinations = Counter()\n",
+    "for items in transactions:\n",
+    "    product_combinations.update(combinations(sorted(items), 2))\n",
+    "\n",
+    "product_combinations.most_common(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Customer grouping based on product names and user IDs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>product_name</th>\n",
+       "      <th>category</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>506</td>\n",
+       "      <td>low-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>528</td>\n",
+       "      <td>medium-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>556</td>\n",
+       "      <td>high-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>550</td>\n",
+       "      <td>high-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>477</td>\n",
+       "      <td>low-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>507</td>\n",
+       "      <td>medium-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>503</td>\n",
+       "      <td>low-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>505</td>\n",
+       "      <td>low-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>534</td>\n",
+       "      <td>medium-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>537</td>\n",
+       "      <td>high-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>584</td>\n",
+       "      <td>high-diversity</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>509</td>\n",
+       "      <td>medium-diversity</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    user_id  product_name          category\n",
+       "0         1           506     low-diversity\n",
+       "1         2           528  medium-diversity\n",
+       "2         3           556    high-diversity\n",
+       "3         4           550    high-diversity\n",
+       "4         5           477     low-diversity\n",
+       "5         6           507  medium-diversity\n",
+       "6         7           503     low-diversity\n",
+       "7         8           505     low-diversity\n",
+       "8         9           534  medium-diversity\n",
+       "9        10           537    high-diversity\n",
+       "10       11           584    high-diversity\n",
+       "11       12           509  medium-diversity"
+      ]
+     },
+     "execution_count": 206,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "product_variety = df.groupby(\"user_id\")[\"product_name\"].nunique().reset_index()\n",
+    "\n",
+    "q33 = product_variety[\"product_name\"].quantile(0.33) \n",
+    "q66 = product_variety[\"product_name\"].quantile(0.66)  \n",
+    "max_value = product_variety[\"product_name\"].max()  \n",
+    "\n",
+    "bins = [0, q33, q66, max_value]\n",
+    "labels = [\"low-diversity\", \"medium-diversity\", \"high-diversity\"]\n",
+    "product_variety[\"category\"] = pd.cut(product_variety[\"product_name\"], bins=bins, labels=labels, include_lowest=True)\n",
+    "\n",
+    "product_variety"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Clustering analysis:**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "\n",
+    "| **Diversity Category** | **User IDs**      | **Characteristics**                                   | **Examples of Products**                                             |\n",
+    "|------------------------|-------------------|-------------------------------------------------------|---------------------------------------------------------------------|\n",
+    "| **Low-Diversity**       | 1, 5, 7, 8        | Fewer types of purchases, limited product range      | Products with fewer variations or limited categories.               |\n",
+    "| **Medium-Diversity**    | 2, 6, 9, 12       | Moderate range of purchases                          | Products that offer some variety but within a certain category.     |\n",
+    "| **High-Diversity**      | 3, 4, 10, 11      | Large variety of purchases, wide range of products   | Products with many variations, covering a broad range of categories. |\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Grouping customers by Hours and Days"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 232,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "weekday_behavior = df[[\"user_id\", \"weekday\",\"transaction_id\"]]\n",
+    "hour_behavior = df[[\"user_id\", \"transaction_time\",\"transaction_id\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "weekend_mapping = {\n",
+    "    \"Thursday\": \"Weekend\",\n",
+    "    \"Friday\": \"Weekend\",\n",
+    "    \"Saturday\": \"Start of Week\"\n",
+    "}\n",
+    "\n",
+    "\n",
+    "weekday_behavior[\"category\"] = weekday_behavior[\"weekday\"].map(weekend_mapping).fillna(\"Midweek\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 234,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>weekday</th>\n",
+       "      <th>transaction_id</th>\n",
+       "      <th>category</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Midweek</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Thursday</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Weekend</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Weekend</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Weekend</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Saturday</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Start of Week</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8187</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Wednesday</td>\n",
+       "      <td>306</td>\n",
+       "      <td>Midweek</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8188</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>307</td>\n",
+       "      <td>Weekend</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8189</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>307</td>\n",
+       "      <td>Weekend</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8190</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Friday</td>\n",
+       "      <td>308</td>\n",
+       "      <td>Weekend</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8191</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Sunday</td>\n",
+       "      <td>309</td>\n",
+       "      <td>Midweek</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8192 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      user_id    weekday  transaction_id       category\n",
+       "0           1  Wednesday               1        Midweek\n",
+       "1           1   Thursday               2        Weekend\n",
+       "2           1     Friday               3        Weekend\n",
+       "3           1     Friday               3        Weekend\n",
+       "4           1   Saturday               4  Start of Week\n",
+       "...       ...        ...             ...            ...\n",
+       "8187       12  Wednesday             306        Midweek\n",
+       "8188       12     Friday             307        Weekend\n",
+       "8189       12     Friday             307        Weekend\n",
+       "8190       12     Friday             308        Weekend\n",
+       "8191       12     Sunday             309        Midweek\n",
+       "\n",
+       "[8192 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 234,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "weekday_behavior"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hour_behavior[\"hour\"] = hour_behavior[\"transaction_time\"].apply(lambda x: x.hour)\n",
+    "\n",
+    "hour_behavior[\"category\"] = np.where(hour_behavior[\"hour\"].between(17, 19), \n",
+    "                                     \"Peak Hours\", \n",
+    "                                     \"Off-Peak Hours\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 237,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>transaction_time</th>\n",
+       "      <th>transaction_id</th>\n",
+       "      <th>hour</th>\n",
+       "      <th>category</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>23:38:58</td>\n",
+       "      <td>1</td>\n",
+       "      <td>23</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>16:41:29</td>\n",
+       "      <td>2</td>\n",
+       "      <td>16</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>07:45:32</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>07:45:32</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>15:22:12</td>\n",
+       "      <td>4</td>\n",
+       "      <td>15</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8187</th>\n",
+       "      <td>12</td>\n",
+       "      <td>13:23:31</td>\n",
+       "      <td>306</td>\n",
+       "      <td>13</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8188</th>\n",
+       "      <td>12</td>\n",
+       "      <td>08:10:55</td>\n",
+       "      <td>307</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8189</th>\n",
+       "      <td>12</td>\n",
+       "      <td>08:10:55</td>\n",
+       "      <td>307</td>\n",
+       "      <td>8</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8190</th>\n",
+       "      <td>12</td>\n",
+       "      <td>22:01:02</td>\n",
+       "      <td>308</td>\n",
+       "      <td>22</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8191</th>\n",
+       "      <td>12</td>\n",
+       "      <td>06:45:30</td>\n",
+       "      <td>309</td>\n",
+       "      <td>6</td>\n",
+       "      <td>Off-Peak Hours</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>8192 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      user_id transaction_time  transaction_id  hour        category\n",
+       "0           1         23:38:58               1    23  Off-Peak Hours\n",
+       "1           1         16:41:29               2    16  Off-Peak Hours\n",
+       "2           1         07:45:32               3     7  Off-Peak Hours\n",
+       "3           1         07:45:32               3     7  Off-Peak Hours\n",
+       "4           1         15:22:12               4    15  Off-Peak Hours\n",
+       "...       ...              ...             ...   ...             ...\n",
+       "8187       12         13:23:31             306    13  Off-Peak Hours\n",
+       "8188       12         08:10:55             307     8  Off-Peak Hours\n",
+       "8189       12         08:10:55             307     8  Off-Peak Hours\n",
+       "8190       12         22:01:02             308    22  Off-Peak Hours\n",
+       "8191       12         06:45:30             309     6  Off-Peak Hours\n",
+       "\n",
+       "[8192 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 237,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hour_behavior"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Customer grouping based on RFM"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 241,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X = df[['total_price']]\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "X_scaled = scaler.fit_transform(X)\n",
+    "\n",
+    "inertia = []\n",
+    "for k in range(1, 11):\n",
+    "    kmeans = KMeans(n_clusters=k, random_state=0)\n",
+    "    kmeans.fit(X_scaled)\n",
+    "    inertia.append(kmeans.inertia_)\n",
+    "\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "plt.plot(range(1, 11), inertia, marker='o')\n",
+    "plt.title('Elbow Method for Optimal k')\n",
+    "plt.xlabel('Number of Clusters (k)')\n",
+    "plt.ylabel('Inertia')\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The Elbow plot shows that as the number of clusters increases, the amount of intra-cluster variation decreases, but after a certain point, the decrease becomes less and the plot becomes almost constant. Here, it seems that the best point to choose the number of clusters is around 3 or 4, because after that, the decrease in variation is not so significant. Choosing this value ensures that the clustering is optimal and the data is grouped correctly without increasing the complexity too much."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Clustering based on total_spent, transaction_count, and product_variety features using the RFM algorithm:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>total_spent</th>\n",
+       "      <th>transaction_count</th>\n",
+       "      <th>product_variety</th>\n",
+       "      <th>Cluster</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4.114019e+09</td>\n",
+       "      <td>661</td>\n",
+       "      <td>506</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>4.824619e+09</td>\n",
+       "      <td>673</td>\n",
+       "      <td>528</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>4.897524e+09</td>\n",
+       "      <td>708</td>\n",
+       "      <td>556</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>3.333319e+09</td>\n",
+       "      <td>717</td>\n",
+       "      <td>550</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>4.167616e+09</td>\n",
+       "      <td>624</td>\n",
+       "      <td>477</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3.797353e+09</td>\n",
+       "      <td>636</td>\n",
+       "      <td>507</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>4.731971e+09</td>\n",
+       "      <td>660</td>\n",
+       "      <td>503</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>4.452082e+09</td>\n",
+       "      <td>678</td>\n",
+       "      <td>505</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>3.356738e+09</td>\n",
+       "      <td>689</td>\n",
+       "      <td>534</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>4.654176e+09</td>\n",
+       "      <td>725</td>\n",
+       "      <td>537</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>5.236716e+09</td>\n",
+       "      <td>762</td>\n",
+       "      <td>584</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>4.368383e+09</td>\n",
+       "      <td>659</td>\n",
+       "      <td>509</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    user_id   total_spent  transaction_count  product_variety  Cluster\n",
+       "0         1  4.114019e+09                661              506        0\n",
+       "1         2  4.824619e+09                673              528        0\n",
+       "2         3  4.897524e+09                708              556        1\n",
+       "3         4  3.333319e+09                717              550        2\n",
+       "4         5  4.167616e+09                624              477        0\n",
+       "5         6  3.797353e+09                636              507        0\n",
+       "6         7  4.731971e+09                660              503        0\n",
+       "7         8  4.452082e+09                678              505        0\n",
+       "8         9  3.356738e+09                689              534        2\n",
+       "9        10  4.654176e+09                725              537        1\n",
+       "10       11  5.236716e+09                762              584        1\n",
+       "11       12  4.368383e+09                659              509        0"
+      ]
+     },
+     "execution_count": 219,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "features = df.groupby(\"user_id\").agg(\n",
+    "    total_spent=(\"total_amount\", \"sum\"),\n",
+    "    transaction_count=(\"transaction_id\", \"count\"),\n",
+    "    product_variety=(\"product_name\", \"nunique\")\n",
+    ").reset_index()\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "features_scaled = scaler.fit_transform(features[[\"total_spent\", \"transaction_count\", \"product_variety\"]])\n",
+    "\n",
+    "kmeans = KMeans(n_clusters=3, random_state=0)\n",
+    "features[\"Cluster\"] = kmeans.fit_predict(features_scaled)\n",
+    "\n",
+    "features\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "\n",
+    "| user_id | total_spent   | transaction_count | product_variety | Cluster | Cluster Analysis |\n",
+    "|---------|---------------|------------------|-----------------|---------|------------------|\n",
+    "| 1       | 4.114019e+09  | 661              | 506             | 0       | **High spender, frequent buyer, diverse products.** Likely a loyal customer with high purchase volume and variety. |\n",
+    "| 2       | 4.824619e+09  | 673              | 528             | 0       | **High spender, frequent buyer, diverse products.** Likely a loyal customer with high purchase volume and variety. |\n",
+    "| 3       | 4.897524e+09  | 708              | 556             | 1       | **High spender, frequent buyer, very diverse products.** This customer is highly engaged and spends a lot on a variety of products. |\n",
+    "| 4       | 3.333319e+09  | 717              | 550             | 2       | **Moderate spender, frequent buyer, high product variety.** This customer buys frequently but spends less overall, possibly exploring different products. |\n",
+    "| 5       | 4.167616e+09  | 624              | 477             | 0       | **High spender, frequent buyer, diverse products.** A loyal customer with significant spending and varied purchases. |\n",
+    "| 6       | 3.797353e+09  | 636              | 507             | 0       | **High spender, frequent buyer, diverse products.** A loyal customer who buys a lot and purchases from a wide variety of products. |\n",
+    "| 7       | 4.731971e+09  | 660              | 503             | 0       | **High spender, frequent buyer, diverse products.** A high-value, frequent customer with varied purchases. |\n",
+    "| 8       | 4.452082e+09  | 678              | 505             | 0       | **High spender, frequent buyer, diverse products.** A loyal, high-spending customer with a wide product selection. |\n",
+    "| 9       | 3.356738e+09  | 689              | 534             | 2       | **Moderate spender, frequent buyer, very diverse products.** Engages in frequent purchases but spends less overall, showing interest in various products. |\n",
+    "| 10      | 4.654176e+09  | 725              | 537             | 1       | **High spender, frequent buyer, very diverse products.** A highly active, high-spending customer who buys a lot of different items. |\n",
+    "| 11      | 5.236716e+09  | 762              | 584             | 1       | **High spender, frequent buyer, very diverse products.** A very active customer with large spending and a high variety of purchases. |\n",
+    "| 12      | 4.368383e+09  | 659              | 509             | 0       | **High spender, frequent buyer, diverse products.** A loyal customer with significant spending and varied product purchases. |\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Customer satisfaction ranking using the RFM algorithm:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "latest_date = df[\"transaction_date\"].max()\n",
+    "\n",
+    "rfm = df.groupby(\"user_id\").agg(\n",
+    "    Recency=(\"transaction_date\", lambda x: (latest_date - x.max()).days),  \n",
+    "    Frequency=(\"transaction_id\", \"count\"),  \n",
+    "    Monetary=(\"total_amount\", \"sum\")  \n",
+    ").reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 221,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaler = StandardScaler()\n",
+    "rfm_scaled = scaler.fit_transform(rfm[[\"Recency\", \"Frequency\", \"Monetary\"]])\n",
+    "\n",
+    "kmeans = KMeans(n_clusters=3, random_state=0)\n",
+    "rfm[\"Cluster\"] = kmeans.fit_predict(rfm_scaled)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>user_id</th>\n",
+       "      <th>Recency</th>\n",
+       "      <th>Frequency</th>\n",
+       "      <th>Monetary</th>\n",
+       "      <th>Cluster</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>661</td>\n",
+       "      <td>4.114019e+09</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>673</td>\n",
+       "      <td>4.824619e+09</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>708</td>\n",
+       "      <td>4.897524e+09</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>717</td>\n",
+       "      <td>3.333319e+09</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>624</td>\n",
+       "      <td>4.167616e+09</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>636</td>\n",
+       "      <td>3.797353e+09</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>660</td>\n",
+       "      <td>4.731971e+09</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>678</td>\n",
+       "      <td>4.452082e+09</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>689</td>\n",
+       "      <td>3.356738e+09</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>725</td>\n",
+       "      <td>4.654176e+09</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>762</td>\n",
+       "      <td>5.236716e+09</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>0</td>\n",
+       "      <td>659</td>\n",
+       "      <td>4.368383e+09</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    user_id  Recency  Frequency      Monetary  Cluster\n",
+       "0         1        0        661  4.114019e+09        0\n",
+       "1         2        0        673  4.824619e+09        0\n",
+       "2         3        0        708  4.897524e+09        2\n",
+       "3         4        0        717  3.333319e+09        1\n",
+       "4         5        0        624  4.167616e+09        0\n",
+       "5         6        0        636  3.797353e+09        0\n",
+       "6         7        0        660  4.731971e+09        0\n",
+       "7         8        0        678  4.452082e+09        0\n",
+       "8         9        0        689  3.356738e+09        1\n",
+       "9        10        0        725  4.654176e+09        2\n",
+       "10       11        0        762  5.236716e+09        2\n",
+       "11       12        0        659  4.368383e+09        0"
+      ]
+     },
+     "execution_count": 222,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rfm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**The percentage of each group of users in RFM clustering is as follows:**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table border=\"1\" class=\"dataframe\">\n",
+    "  <thead>\n",
+    "    <tr style=\"text-align: right;\">\n",
+    "      <th>Cluster</th>\n",
+    "      <th>Number of Users</th>\n",
+    "      <th>Percentage of Total Users</th>\n",
+    "    </tr>\n",
+    "  </thead>\n",
+    "  <tbody>\n",
+    "    <tr>\n",
+    "      <td>0</td>\n",
+    "      <td>7</td>\n",
+    "      <td>58.33%</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <td>1</td>\n",
+    "      <td>2</td>\n",
+    "      <td>16.67%</td>\n",
+    "    </tr>\n",
+    "    <tr>\n",
+    "      <td>2</td>\n",
+    "      <td>3</td>\n",
+    "      <td>25%</td>\n",
+    "    </tr>\n",
+    "  </tbody>\n",
+    "</table>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 223,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Silhouette Score: 0.4913\n",
+      "Davies-Bouldin Score: 0.5725\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import silhouette_score, davies_bouldin_score\n",
+    "\n",
+    "silhouette = silhouette_score(rfm_scaled, rfm[\"Cluster\"])\n",
+    "print(f\"Silhouette Score: {silhouette:.4f}\")\n",
+    "\n",
+    "davies_bouldin = davies_bouldin_score(rfm_scaled, rfm[\"Cluster\"])\n",
+    "print(f\"Davies-Bouldin Score: {davies_bouldin:.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Given the Silhouette Score = 0.4913 and Davies-Bouldin Score = 0.5725, this clustering seems to have acceptable quality."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### **User analysis based on clustering (RFM + Clustering)**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table>\n",
+    "        <tr>\n",
+    "            <th>Cluster</th>\n",
+    "            <th>Users</th>\n",
+    "            <th>Total Spent</th>\n",
+    "            <th>Transaction Count</th>\n",
+    "            <th>Product Variety</th>\n",
+    "            <th>Analysis & Suggestions</th>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td><b>Cluster 0</b><br>(Active Customers with Controlled Spending)</td>\n",
+    "            <td>1, 2, 5, 6, 7, 8, 12</td>\n",
+    "            <td>3.79B – 4.82B</td>\n",
+    "            <td>624 – 678</td>\n",
+    "            <td>477 – 528</td>\n",
+    "            <td>These are loyal customers with relatively high but controlled purchases. Targeted discounts and special offers can encourage more spending.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td><b>Cluster 1</b><br>(High-Spending & Highly Active Customers)</td>\n",
+    "            <td>3, 10, 11</td>\n",
+    "            <td>4.89B – 5.23B</td>\n",
+    "            <td>708 – 762</td>\n",
+    "            <td>537 – 584</td>\n",
+    "            <td>These are premium customers who spend the most and have a diverse shopping pattern. Offering VIP programs, exclusive deals, and personalized engagement is crucial.</td>\n",
+    "        </tr>\n",
+    "        <tr>\n",
+    "            <td><b>Cluster 2</b><br>(Moderate-Spending Customers with High Engagement)</td>\n",
+    "            <td>4, 9</td>\n",
+    "            <td>3.33B – 3.35B</td>\n",
+    "            <td>689 – 717</td>\n",
+    "            <td>534 – 550</td>\n",
+    "            <td>These customers are interested in a variety of products but spend moderately. Volume discounts, free shipping, and targeted promotions can boost their spending.</td>\n",
+    "        </tr>\n",
+    "    </table>\n",
+    "\n",
+    "</body>\n",
+    "</html>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 225,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<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>Cluster</th>\n",
+       "      <th>Recency</th>\n",
+       "      <th>Frequency</th>\n",
+       "      <th>Monetary</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>655.857143</td>\n",
+       "      <td>4.350863e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>703.000000</td>\n",
+       "      <td>3.345029e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>731.666667</td>\n",
+       "      <td>4.929472e+09</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Cluster  Recency   Frequency      Monetary\n",
+       "0        0      0.0  655.857143  4.350863e+09\n",
+       "1        1      0.0  703.000000  3.345029e+09\n",
+       "2        2      0.0  731.666667  4.929472e+09"
+      ]
+     },
+     "execution_count": 225,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rfm_cluster_summary = rfm.groupby('Cluster').agg({\n",
+    "    'Recency': 'mean',\n",
+    "    'Frequency': 'mean',\n",
+    "    'Monetary': 'mean'\n",
+    "}).reset_index()\n",
+    "\n",
+    "rfm_cluster_summary"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table>\n",
+    "        <thead>\n",
+    "            <tr>\n",
+    "                <th>Cluster</th>\n",
+    "                <th>Recency</th>\n",
+    "                <th>Frequency (Avg. Transactions per Customer)</th>\n",
+    "                <th>Monetary (Avg. Spending per Customer)</th>\n",
+    "                <th>Analysis & Strategy</th>\n",
+    "            </tr>\n",
+    "        </thead>\n",
+    "        <tbody>\n",
+    "            <tr>\n",
+    "                <td>0</td>\n",
+    "                <td>0</td>\n",
+    "                <td>655.86</td>\n",
+    "                <td>4.35B</td>\n",
+    "                <td>Frequent buyers with high spending. Offer loyalty programs, personalized recommendations, and premium support.</td>\n",
+    "            </tr>\n",
+    "            <tr>\n",
+    "                <td>1</td>\n",
+    "                <td>1</td>\n",
+    "                <td>703.00</td>\n",
+    "                <td>3.34B</td>\n",
+    "                <td>Higher frequency but lower spending. Promotions, volume discounts, and bundle offers can boost spending.</td>\n",
+    "            </tr>\n",
+    "            <tr>\n",
+    "                <td>2</td>\n",
+    "                <td>2</td>\n",
+    "                <td>731.67</td>\n",
+    "                <td>4.93B</td>\n",
+    "                <td>Top-tier customers with the highest spending. Provide VIP memberships, exclusive offers, and early product access.</td>\n",
+    "            </tr>\n",
+    "        </tbody>\n",
+    "    </table>\n",
+    "\n",
+    "</body>\n",
+    "</html>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **General summary based on the RFM algorithm:**  \n",
+    "- **Cluster 2** has the highest average spending and frequency, indicating they are premium customers.  \n",
+    "- **Cluster 1** has the highest frequency but lower spending, suggesting they might be bargain hunters.  \n",
+    "- **Cluster 0** balances frequency and spending, making them a stable and loyal customer base.  \n",
+    "- All clusters have **Recency = 0**, meaning they are currently active, and retention strategies should focus on keeping them engaged."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}