restaurant-sales-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fa126e1b",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
     "iopub.execute_input": "2024-06-23T11:34:58.965763Z",
     "iopub.status.busy": "2024-06-23T11:34:58.964028Z",
     "iopub.status.idle": "2024-06-23T11:35:00.243950Z",
     "shell.execute_reply": "2024-06-23T11:35:00.242418Z"
    },
    "papermill": {
     "duration": 1.29307,
     "end_time": "2024-06-23T11:35:00.246754",
     "exception": false,
     "start_time": "2024-06-23T11:34:58.953684",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/fast-food-sales-report/Balaji Fast Food Sales.csv\n",
      "/kaggle/input/fast-food-sales-report/category distribution.JPG\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b51e5496",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:00.264584Z",
     "iopub.status.busy": "2024-06-23T11:35:00.264052Z",
     "iopub.status.idle": "2024-06-23T11:35:01.925573Z",
     "shell.execute_reply": "2024-06-23T11:35:01.924201Z"
    },
    "papermill": {
     "duration": 1.674172,
     "end_time": "2024-06-23T11:35:01.928961",
     "exception": false,
     "start_time": "2024-06-23T11:35:00.254789",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "14b39562",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:01.946803Z",
     "iopub.status.busy": "2024-06-23T11:35:01.946342Z",
     "iopub.status.idle": "2024-06-23T11:35:02.002927Z",
     "shell.execute_reply": "2024-06-23T11:35:02.001597Z"
    },
    "papermill": {
     "duration": 0.068471,
     "end_time": "2024-06-23T11:35:02.005515",
     "exception": false,
     "start_time": "2024-06-23T11:35:01.937044",
     "status": "completed"
    },
    "tags": []
   },
   "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>order_id</th>\n",
       "      <th>date</th>\n",
       "      <th>item_name</th>\n",
       "      <th>item_type</th>\n",
       "      <th>item_price</th>\n",
       "      <th>quantity</th>\n",
       "      <th>transaction_amount</th>\n",
       "      <th>transaction_type</th>\n",
       "      <th>received_by</th>\n",
       "      <th>time_of_sale</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>07-03-2022</td>\n",
       "      <td>Aalopuri</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>8/23/2022</td>\n",
       "      <td>Vadapav</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>300</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Afternoon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>11/20/2022</td>\n",
       "      <td>Vadapav</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Afternoon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>02-03-2023</td>\n",
       "      <td>Sugarcane juice</td>\n",
       "      <td>Beverages</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "      <td>150</td>\n",
       "      <td>Online</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>10-02-2022</td>\n",
       "      <td>Sugarcane juice</td>\n",
       "      <td>Beverages</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>200</td>\n",
       "      <td>Online</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Evening</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>11/14/2022</td>\n",
       "      <td>Vadapav</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>200</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Evening</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>05-03-2022</td>\n",
       "      <td>Sugarcane juice</td>\n",
       "      <td>Beverages</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>225</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Evening</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>12/22/2022</td>\n",
       "      <td>Panipuri</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "      <td>280</td>\n",
       "      <td>Online</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>06-10-2022</td>\n",
       "      <td>Panipuri</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Mrs.</td>\n",
       "      <td>Morning</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>9/16/2022</td>\n",
       "      <td>Panipuri</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>100</td>\n",
       "      <td>Online</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Afternoon</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id        date        item_name  item_type  item_price  quantity  \\\n",
       "0         1  07-03-2022         Aalopuri   Fastfood          20        13   \n",
       "1         2   8/23/2022          Vadapav   Fastfood          20        15   \n",
       "2         3  11/20/2022          Vadapav   Fastfood          20         1   \n",
       "3         4  02-03-2023  Sugarcane juice  Beverages          25         6   \n",
       "4         5  10-02-2022  Sugarcane juice  Beverages          25         8   \n",
       "5         6  11/14/2022          Vadapav   Fastfood          20        10   \n",
       "6         7  05-03-2022  Sugarcane juice  Beverages          25         9   \n",
       "7         8  12/22/2022         Panipuri   Fastfood          20        14   \n",
       "8         9  06-10-2022         Panipuri   Fastfood          20         1   \n",
       "9        10   9/16/2022         Panipuri   Fastfood          20         5   \n",
       "\n",
       "   transaction_amount transaction_type received_by time_of_sale  \n",
       "0                 260              NaN         Mr.        Night  \n",
       "1                 300             Cash         Mr.    Afternoon  \n",
       "2                  20             Cash         Mr.    Afternoon  \n",
       "3                 150           Online         Mr.        Night  \n",
       "4                 200           Online         Mr.      Evening  \n",
       "5                 200             Cash         Mr.      Evening  \n",
       "6                 225             Cash         Mr.      Evening  \n",
       "7                 280           Online         Mr.        Night  \n",
       "8                  20             Cash        Mrs.      Morning  \n",
       "9                 100           Online         Mr.    Afternoon  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('/kaggle/input/fast-food-sales-report/Balaji Fast Food Sales.csv')\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bef6ed9f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:02.024979Z",
     "iopub.status.busy": "2024-06-23T11:35:02.024537Z",
     "iopub.status.idle": "2024-06-23T11:35:02.074547Z",
     "shell.execute_reply": "2024-06-23T11:35:02.073019Z"
    },
    "papermill": {
     "duration": 0.063803,
     "end_time": "2024-06-23T11:35:02.077668",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.013865",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   order_id            1000 non-null   int64 \n",
      " 1   date                1000 non-null   object\n",
      " 2   item_name           1000 non-null   object\n",
      " 3   item_type           1000 non-null   object\n",
      " 4   item_price          1000 non-null   int64 \n",
      " 5   quantity            1000 non-null   int64 \n",
      " 6   transaction_amount  1000 non-null   int64 \n",
      " 7   transaction_type    893 non-null    object\n",
      " 8   received_by         1000 non-null   object\n",
      " 9   time_of_sale        1000 non-null   object\n",
      "dtypes: int64(4), object(6)\n",
      "memory usage: 78.2+ KB\n",
      "---------------\n",
      "          order_id   item_price     quantity  transaction_amount\n",
      "count  1000.000000  1000.000000  1000.000000         1000.000000\n",
      "mean    500.500000    33.315000     8.162000          275.230000\n",
      "std     288.819436    14.921744     4.413075          204.402979\n",
      "min       1.000000    20.000000     1.000000           20.000000\n",
      "25%     250.750000    20.000000     4.000000          120.000000\n",
      "50%     500.500000    25.000000     8.000000          240.000000\n",
      "75%     750.250000    50.000000    12.000000          360.000000\n",
      "max    1000.000000    60.000000    15.000000          900.000000\n"
     ]
    }
   ],
   "source": [
    "df.info()\n",
    "print('---------------')\n",
    "print(df.describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d92563e",
   "metadata": {
    "papermill": {
     "duration": 0.008111,
     "end_time": "2024-06-23T11:35:02.094245",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.086134",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "* The data contains values from April 2022 to March 2023.\n",
    "* The cheapest item is 20 and the most expensive item is 60 whilst the average price per item is 33.32.\n",
    "* The least spent on a transaction is 20 whilst the most spent is 900. The least quantity sold per transaction is 1 whilst the most quantity sold is 15. The average transaction amount is 204.40. The average quantity sold is 8.16 per transaction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "38ee6365",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:02.112705Z",
     "iopub.status.busy": "2024-06-23T11:35:02.112334Z",
     "iopub.status.idle": "2024-06-23T11:35:02.117969Z",
     "shell.execute_reply": "2024-06-23T11:35:02.116715Z"
    },
    "papermill": {
     "duration": 0.017884,
     "end_time": "2024-06-23T11:35:02.120546",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.102662",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# most selling items\n",
    "# most selling hours \n",
    "# employee performance\n",
    "# time series analysis\n",
    "# items per transaction\n",
    "# total sales by item type and item name\n",
    "# avg transaction amount by transaction type\n",
    "# most selling products, online vs cash transactions\n",
    "# online hours \n",
    "# most sold items per transaction?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "48f2f5ef",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:02.141077Z",
     "iopub.status.busy": "2024-06-23T11:35:02.140607Z",
     "iopub.status.idle": "2024-06-23T11:35:02.181716Z",
     "shell.execute_reply": "2024-06-23T11:35:02.180439Z"
    },
    "papermill": {
     "duration": 0.054963,
     "end_time": "2024-06-23T11:35:02.184551",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.129588",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "df['date'] = df['date'].str.replace('/', '-')\n",
    "df['date'] = pd.to_datetime(df['date'])\n",
    "\n",
    "# Extract month and year\n",
    "df['month'] = df['date'].dt.strftime('%b')\n",
    "df['year'] = df['date'].dt.year\n",
    "df['month_year'] = df['date'].dt.strftime('%b %Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e08160ff",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:02.203442Z",
     "iopub.status.busy": "2024-06-23T11:35:02.202974Z",
     "iopub.status.idle": "2024-06-23T11:35:02.223128Z",
     "shell.execute_reply": "2024-06-23T11:35:02.221419Z"
    },
    "papermill": {
     "duration": 0.032906,
     "end_time": "2024-06-23T11:35:02.225879",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.192973",
     "status": "completed"
    },
    "tags": []
   },
   "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>order_id</th>\n",
       "      <th>date</th>\n",
       "      <th>item_name</th>\n",
       "      <th>item_type</th>\n",
       "      <th>item_price</th>\n",
       "      <th>quantity</th>\n",
       "      <th>transaction_amount</th>\n",
       "      <th>transaction_type</th>\n",
       "      <th>received_by</th>\n",
       "      <th>time_of_sale</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>month_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2022-07-03</td>\n",
       "      <td>Aalopuri</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>13</td>\n",
       "      <td>260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Night</td>\n",
       "      <td>Jul</td>\n",
       "      <td>2022</td>\n",
       "      <td>Jul 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2022-08-23</td>\n",
       "      <td>Vadapav</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>300</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Afternoon</td>\n",
       "      <td>Aug</td>\n",
       "      <td>2022</td>\n",
       "      <td>Aug 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2022-11-20</td>\n",
       "      <td>Vadapav</td>\n",
       "      <td>Fastfood</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>Cash</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Afternoon</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2022</td>\n",
       "      <td>Nov 2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2023-02-03</td>\n",
       "      <td>Sugarcane juice</td>\n",
       "      <td>Beverages</td>\n",
       "      <td>25</td>\n",
       "      <td>6</td>\n",
       "      <td>150</td>\n",
       "      <td>Online</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Night</td>\n",
       "      <td>Feb</td>\n",
       "      <td>2023</td>\n",
       "      <td>Feb 2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2022-10-02</td>\n",
       "      <td>Sugarcane juice</td>\n",
       "      <td>Beverages</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>200</td>\n",
       "      <td>Online</td>\n",
       "      <td>Mr.</td>\n",
       "      <td>Evening</td>\n",
       "      <td>Oct</td>\n",
       "      <td>2022</td>\n",
       "      <td>Oct 2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   order_id       date        item_name  item_type  item_price  quantity  \\\n",
       "0         1 2022-07-03         Aalopuri   Fastfood          20        13   \n",
       "1         2 2022-08-23          Vadapav   Fastfood          20        15   \n",
       "2         3 2022-11-20          Vadapav   Fastfood          20         1   \n",
       "3         4 2023-02-03  Sugarcane juice  Beverages          25         6   \n",
       "4         5 2022-10-02  Sugarcane juice  Beverages          25         8   \n",
       "\n",
       "   transaction_amount transaction_type received_by time_of_sale month  year  \\\n",
       "0                 260              NaN         Mr.        Night   Jul  2022   \n",
       "1                 300             Cash         Mr.    Afternoon   Aug  2022   \n",
       "2                  20             Cash         Mr.    Afternoon   Nov  2022   \n",
       "3                 150           Online         Mr.        Night   Feb  2023   \n",
       "4                 200           Online         Mr.      Evening   Oct  2022   \n",
       "\n",
       "  month_year  \n",
       "0   Jul 2022  \n",
       "1   Aug 2022  \n",
       "2   Nov 2022  \n",
       "3   Feb 2023  \n",
       "4   Oct 2022  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c7da3587",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:02.245600Z",
     "iopub.status.busy": "2024-06-23T11:35:02.245066Z",
     "iopub.status.idle": "2024-06-23T11:35:02.535088Z",
     "shell.execute_reply": "2024-06-23T11:35:02.532933Z"
    },
    "papermill": {
     "duration": 0.305886,
     "end_time": "2024-06-23T11:35:02.540598",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.234712",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  time_of_sale  order_id\n",
      "0    Afternoon        24\n",
      "1      Evening        16\n",
      "2     Midnight        22\n",
      "3      Morning        22\n",
      "4        Night        23\n",
      "----------------\n",
      "  received_by  order_id\n",
      "0         Mr.        53\n",
      "1        Mrs.        54\n",
      "transaction_type\n",
      "Cash       476\n",
      "Online     417\n",
      "Unknown    107\n",
      "Name: count, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#lets inspect the rows contains null values to see if there is a pattern \n",
    "df_null = df[df['transaction_type'].isna()]\n",
    "print(df_null.groupby('time_of_sale')['order_id'].count().reset_index())\n",
    "print('----------------')\n",
    "print(df_null.groupby('received_by')['order_id'].count().reset_index())\n",
    "\n",
    "# there seems to be no particular pattern among the null values in the transaction_amount column. \n",
    "# we will treat null values as its own category thus replace the null values with 'unknown'\n",
    "\n",
    "df['transaction_type'] = df['transaction_type'].fillna('Unknown')\n",
    "transaction_type = df['transaction_type'].value_counts()\n",
    "print(transaction_type)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(3, 3))\n",
    "\n",
    "ax.pie(transaction_type, labels=transaction_type.index, autopct='%.1f%%', wedgeprops={'linewidth': 3.0, 'edgecolor': 'white'})\n",
    "ax.set_title('Transaction Types', fontsize=10)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cf60c226",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:02.584387Z",
     "iopub.status.busy": "2024-06-23T11:35:02.582536Z",
     "iopub.status.idle": "2024-06-23T11:35:02.598929Z",
     "shell.execute_reply": "2024-06-23T11:35:02.597583Z"
    },
    "papermill": {
     "duration": 0.041516,
     "end_time": "2024-06-23T11:35:02.601769",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.560253",
     "status": "completed"
    },
    "tags": []
   },
   "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>item_name</th>\n",
       "      <th>item_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sandwich</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Frankie</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cold coffee</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sugarcane juice</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aalopuri</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Vadapav</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Panipuri</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         item_name  item_price\n",
       "0         Sandwich          60\n",
       "1          Frankie          50\n",
       "2      Cold coffee          40\n",
       "3  Sugarcane juice          25\n",
       "4         Aalopuri          20\n",
       "5          Vadapav          20\n",
       "6         Panipuri          20"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['item_name', 'item_price']].drop_duplicates().sort_values('item_price', ascending=False).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1fe12c33",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:02.622878Z",
     "iopub.status.busy": "2024-06-23T11:35:02.622496Z",
     "iopub.status.idle": "2024-06-23T11:35:03.022634Z",
     "shell.execute_reply": "2024-06-23T11:35:03.021196Z"
    },
    "papermill": {
     "duration": 0.413918,
     "end_time": "2024-06-23T11:35:03.025440",
     "exception": false,
     "start_time": "2024-06-23T11:35:02.611522",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsAAAAGHCAYAAAC+muSmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACNdklEQVR4nOzdd1gUVxcG8HfpSAcpoqjEgtgVFbFGJWLvGruxxthiVyzYu7G32HvsMbH3qLEgFuyxFyyAihRB+vn+4NsJK1hDk31/z8Oje+fO7Jm7s7Nn7965oxIRARERERGRltDJ7ACIiIiIiDISE2AiIiIi0ipMgImIiIhIqzABJiIiIiKtwgSYiIiIiLQKE2AiIiIi0ipMgImIiIhIqzABJiIiIiKtwgSYiIiIiLQKE2CibOyvv/6CSqXCX3/9ldmhfDZ17Nu2bcvsUD5JUFAQWrRoARsbG6hUKsyZM+e9dVUqFcaOHZthsX0txo4dC5VK9Ul1P6UNM+oY+py4iShrYAJMlMZUKtUn/X1KUjp58mTs3Lkz3WOm/27AgAE4cOAAvL29sW7dOtSpU+eT1z19+jTGjh2L0NDQ9AuQMhTfu0RZm15mB0CU3axbt07j8dq1a3Ho0KEU5a6urh/d1uTJk9GiRQs0adIkLUOkdHD06FE0btwYgwcP/mjdt2/fQk/v39Pv6dOnMW7cOPzwww+wtLRMxygpPYwaNQrDhw/XKON7lyhrYwJMlMbat2+v8fjs2bM4dOhQinLKGiIjI2FiYvKftxMcHPzJyauRkdF/fj7KOvT09DS+0BBR1schEESZIDIyEoMGDYKTkxMMDQ3h4uKCmTNnQkSUOiqVCpGRkVizZo0ybOKHH34AADx69Ai9evWCi4sLjI2NYWNjg5YtW+Lhw4dfFI96DOPdu3eVXkgLCwt07twZUVFRSr2HDx9CpVJh9erVKbbx7phM9TZv376N9u3bw8LCAra2thg9ejREBAEBAWjcuDHMzc3h4OCAX375JdXYEhISMGLECDg4OMDExASNGjVCQEBAinq+vr6oU6cOLCwskCNHDlSvXh2nTp1KdT9v3LiBtm3bwsrKClWqVPlg29y/fx8tW7aEtbU1cuTIgYoVK2LPnj3K8tWrV0OlUkFEsHDhQuW1+pDkbTV27FgMGTIEAODs7Kysn/y1XL9+Pdzc3GBsbAxra2u0bt06RRt8++23KF68OK5cuYLq1asjR44cKFiwoDL+9fjx43B3d4exsTFcXFxw+PBhjfUjIiLQv39/5M+fH4aGhrCzs8N3332HixcvfnBfPnW9rVu3KvuQM2dOtG/fHk+fPv3gtgEgJiYGAwYMgK2tLczMzNCoUSM8efLko+sl97FjaMyYMdDX18eLFy9SrNujRw9YWloiOjr6vdt/dwzwh967APD06VN06dIF9vb2MDQ0RLFixbBy5UqNbarHL2/ZsgXjxo1D7ty5YWZmhhYtWiAsLAwxMTHo378/7OzsYGpqis6dOyMmJuajbaE+Tm7cuIEaNWogR44cyJ07N6ZPn65RLzY2Fj4+PnBzc4OFhQVMTExQtWpVHDt2TKOe+pwwc+ZMLFy4EN988w1y5MiB2rVrIyAgACKCCRMmIE+ePDA2Nkbjxo0REhKSIq59+/ahatWqMDExgZmZGerXr4/r169/dH+IvhS/shJlMBFBo0aNcOzYMXTt2hWlS5fGgQMHMGTIEDx9+hSzZ88GkDSUolu3bqhQoQJ69OgBAChQoAAAwM/PD6dPn0br1q2RJ08ePHz4EIsXL8a3336LGzduIEeOHF8UW6tWreDs7IwpU6bg4sWLWL58Oezs7DBt2rQv3t/vv/8erq6umDp1Kvbs2YOJEyfC2toav/76K2rWrIlp06Zhw4YNGDx4MMqXL49q1apprD9p0iSoVCoMGzYMwcHBmDNnDjw9PeHv7w9jY2MAScMP6tatCzc3N4wZMwY6OjpYtWoVatasiZMnT6JChQoa22zZsiUKFSqEyZMna3zpeFdQUBAqVaqEqKgo9OvXDzY2NlizZg0aNWqEbdu2oWnTpqhWrRrWrVuHDh064LvvvkPHjh0/q32aNWuG27dv47fffsPs2bORM2dOAICtra2y/6NHj0arVq3QrVs3vHjxAvPnz0e1atVw6dIljV7n169fo0GDBmjdujVatmyJxYsXo3Xr1tiwYQP69++Pnj17om3btpgxYwZatGiBgIAAmJmZAQB69uyJbdu2oU+fPihatChevXqFv//+Gzdv3kTZsmXfG/+nrLd69Wp07twZ5cuXx5QpUxAUFIS5c+fi1KlTKfbhXd26dcP69evRtm1bVKpUCUePHkX9+vU/q40/dgx16NAB48ePx+bNm9GnTx9lvdjYWGzbtg3Nmzf/rF77D713g4KCULFiRahUKvTp0we2trbYt28funbtivDwcPTv319jW1OmTIGxsTGGDx+Ou3fvYv78+dDX14eOjg5ev36NsWPH4uzZs1i9ejWcnZ3h4+Pz0fhev36NOnXqoFmzZmjVqhW2bduGYcOGoUSJEqhbty4AIDw8HMuXL0ebNm3QvXt3REREYMWKFfDy8sK5c+dQunRpjW1u2LABsbGx6Nu3L0JCQjB9+nS0atUKNWvWxF9//YVhw4Yp8Q8ePFgj4V+3bh06deoELy8vTJs2DVFRUVi8eDGqVKmCS5cuIX/+/J/c9kSfTIgoXfXu3VuSv9V27twpAGTixIka9Vq0aCEqlUru3r2rlJmYmEinTp1SbDMqKipF2ZkzZwSArF27Vik7duyYAJBjx459MMYxY8YIAOnSpYtGedOmTcXGxkZ5/ODBAwEgq1atSrENADJmzJgU2+zRo4dSFh8fL3ny5BGVSiVTp05Vyl+/fi3GxsYa+6qOPXfu3BIeHq6Ub9myRQDI3LlzRUQkMTFRChUqJF5eXpKYmKjUi4qKEmdnZ/nuu+9SxNSmTZsPtoda//79BYCcPHlSKYuIiBBnZ2fJnz+/JCQkaOx/7969P2m777bVjBkzBIA8ePBAo97Dhw9FV1dXJk2apFF+9epV0dPT0yivXr26AJCNGzcqZf/8848AEB0dHTl79qxSfuDAgRSvo4WFxSfHn9zH1ouNjRU7OzspXry4vH37VinfvXu3ABAfHx+lTP36qPn7+wsA6dWrl8Y227Ztm6INU/Opx5CIiIeHh7i7u2usv2PHjs96/yT3vvdu165dJVeuXPLy5UuN8tatW4uFhYXy3lbHXrx4cYmNjVXqtWnTRlQqldStW1djfQ8PD8mXL98H4xT59zhJfp6IiYkRBwcHad68uVIWHx8vMTExGuu+fv1a7O3tNc4T6nOCra2thIaGKuXe3t4CQEqVKiVxcXEa8RsYGEh0dLSIJL2fLC0tpXv37hrPFRgYKBYWFinKidIKh0AQZbC9e/dCV1cX/fr10ygfNGgQRAT79u376DbUPZ8AEBcXh1evXqFgwYKwtLT86E/WH9KzZ0+Nx1WrVsWrV68QHh7+xdvs1q2b8n9dXV2UK1cOIoKuXbsq5ZaWlnBxccH9+/dTrN+xY0ellxIAWrRogVy5cmHv3r0AAH9/f9y5cwdt27bFq1ev8PLlS7x8+RKRkZGoVasWTpw4gcTExA/u5/vs3bsXFSpU0BgmYWpqih49euDhw4e4cePGpzXCF9qxYwcSExPRqlUrZb9evnwJBwcHFCpUKMXP0aampmjdurXy2MXFBZaWlnB1dYW7u7tSrv5/8va2tLSEr68vnj179lkxfmy98+fPIzg4GL169dLoRa1fvz6KFCmiMZzkXerX+N33yru9pB/zsWNIXcfX1xf37t1TyjZs2AAnJydUr179s57vfUQE27dvR8OGDSEiGq+pl5cXwsLCUrx/O3bsCH19feWxu7s7RARdunTRqOfu7o6AgADEx8d/NA5TU1ONaxIMDAxQoUIFjeNBV1cXBgYGAIDExESEhIQgPj4e5cqVS/Uc07JlS1hYWGjEAyRdE5F8fLS7uztiY2OV4S+HDh1CaGgo2rRpo9Eeurq6cHd3T3GME6UVJsBEGezRo0dwdHTU+EAG/p0V4tGjRx/dxtu3b+Hj46OMIc6ZMydsbW0RGhqKsLCwL44tb968Go+trKwAJP1kmlbbtLCwgJGRkfJTf/Ly1J6nUKFCGo9VKhUKFiyojJG9c+cOAKBTp06wtbXV+Fu+fDliYmJStImzs/Mnxf7o0SO4uLikKP+c1+q/uHPnDkQEhQoVSrFvN2/eRHBwsEb9PHnypBh/bGFhAScnpxRlgObrOn36dFy7dg1OTk6oUKECxo4dm+oXknd9bD11G6XWjkWKFPlgGz569Ag6OjrK8AG11Lb1IR87hoCkoTqGhobYsGEDACAsLAy7d+9Gu3bt0myO3xcvXiA0NBRLly5N8Xp27twZAFK8pqm9fwCk+pomJiZ+0vs/tePEysoqxftvzZo1KFmyJIyMjGBjYwNbW1vs2bMn1ef4nDiBf4899fu3Zs2aKdrk4MGDKdqDKK1wDDDRV6hv375YtWoV+vfvDw8PD1hYWEClUqF169Ypejs/h66ubqrl8v9xsu9LBBISEj5rmx97ns+h3t8ZM2akGJeoZmpqqvE4eQ96VpaYmAiVSoV9+/al2mbv7tf72vVT2rtVq1aoWrUqfv/9dxw8eBAzZszAtGnTsGPHDmVcaGq+dL2sxsrKCg0aNMCGDRvg4+ODbdu2ISYmJk1nb1Efq+3bt0enTp1SrVOyZEmNx//lNX2fT1l3/fr1+OGHH9CkSRMMGTIEdnZ20NXVxZQpUzR6yf9rnOo2WbduHRwcHFLU4+walF54ZBFlsHz58uHw4cOIiIjQ6AX+559/lOVq70s4t23bhk6dOmnMnBAdHZ3uN1JQ9wi/+zzp2ROq7iFSExHcvXtXSRTUvYPm5ubw9PRM0+fOly8fbt26laI8tdfqv3jf61ygQAGICJydnVG4cOE0ea4PyZUrF3r16oVevXohODgYZcuWxaRJkz6ayH5oPXUb3bp1CzVr1tRY79atWx9sw3z58iExMRH37t3T6PVN7TX5kI8dQ2odO3ZE48aN4efnhw0bNqBMmTIoVqzYZz2XWmqvqXomi4SEhDQ/VtPatm3b8M0332DHjh0a+zJmzJg0fR71+9fOzi7LtwllLxwCQZTB6tWrh4SEBCxYsECjfPbs2VCpVBrJhomJSapJra6uboqenvnz53+wJzYtmJubI2fOnDhx4oRG+aJFi9LtOdeuXYuIiAjl8bZt2/D8+XOlndzc3FCgQAHMnDkTb968SbF+alNbfap69erh3LlzOHPmjFIWGRmJpUuXIn/+/ChatOgXbzs59TzE777WzZo1g66uLsaNG5fi9RYRvHr1Kk2ePyEhIcXP2nZ2dnB0dPzg1Fqfsl65cuVgZ2eHJUuWaGxr3759uHnz5gdndFC/xvPmzdMo/9BtplPzsWMo+fPlzJkT06ZNw/Hjx/9T729q711dXV00b94c27dvx7Vr11Ks81+O1bSm7rlNftz5+vpqvBfSgpeXF8zNzTF58mTExcWlWJ6V2oSyF/YAE2Wwhg0bokaNGhg5ciQePnyIUqVK4eDBg/jjjz/Qv39/jfGObm5uOHz4MGbNmgVHR0c4OzvD3d0dDRo0wLp162BhYYGiRYvizJkzOHz4MGxsbNI9/m7dumHq1Kno1q0bypUrhxMnTuD27dvp9nzW1taoUqUKOnfujKCgIMyZMwcFCxZE9+7dAQA6OjpYvnw56tati2LFiqFz587InTs3nj59imPHjsHc3By7du36oucePnw4fvvtN9StWxf9+vWDtbU11qxZgwcPHmD79u3Q0UmbPgQ3NzcAwMiRI9G6dWvo6+ujYcOGKFCgACZOnAhvb288fPgQTZo0gZmZGR48eIDff/8dPXr0+KQ7z31MREQE8uTJgxYtWqBUqVIwNTXF4cOH4efn9975mT91PX19fUybNg2dO3dG9erV0aZNG2UatPz582PAgAHv3X7p0qXRpk0bLFq0CGFhYahUqRKOHDmCu3fvftb+fewYUtPX10fr1q2xYMEC6Orqok2bNp/1PMm97707depUHDt2DO7u7ujevTuKFi2KkJAQXLx4EYcPH051jtzM0KBBA+zYsQNNmzZF/fr18eDBAyxZsgRFixZN9YvmlzI3N8fixYvRoUMHlC1bFq1bt4atrS0eP36MPXv2oHLlyik6C4jSAhNgogymo6ODP//8Ez4+Pti8eTNWrVqF/PnzY8aMGRg0aJBG3VmzZqFHjx4YNWoU3r59i06dOsHd3R1z586Frq4uNmzYgOjoaFSuXBmHDx+Gl5dXusfv4+ODFy9eYNu2bdiyZQvq1q2Lffv2wc7OLl2eb8SIEbhy5QqmTJmCiIgI1KpVC4sWLdKY6/jbb7/FmTNnMGHCBCxYsABv3ryBg4MD3N3d8eOPP37xc9vb2+P06dMYNmwY5s+fj+joaJQsWRK7du367LloP6R8+fKYMGEClixZgv379yMxMREPHjyAiYkJhg8fjsKFC2P27NkYN24cgKQLi2rXro1GjRqlyfPnyJEDvXr1wsGDB5WZJwoWLIhFixbhp59++s/r/fDDD8iRIwemTp2KYcOGwcTEBE2bNsW0adM+eve8lStXwtbWFhs2bMDOnTtRs2ZN7NmzJ8XFVR/yKceQWseOHbFgwQLUqlULuXLl+uTneNf73rv29vY4d+4cxo8fjx07dmDRokWwsbFBsWLF/tN822nthx9+QGBgIH799VccOHAARYsWxfr167F161b89ddfafpcbdu2haOjI6ZOnYoZM2YgJiYGuXPnRtWqVZWLA4nSmkq+5KoTIiKibOjy5csoXbo01q5diw4dOmR2OESUTjgGmIiI6P+WLVsGU1NTNGvWLLNDIaJ0xCEQRESk9Xbt2oUbN25g6dKl6NOnj3JhIhFlTxwCQUREWi9//vwICgqCl5cX1q1bl+JGNUSUvTABJiIiIiKtwjHARERERKRVmAATERERkVbhRXCfIDExEc+ePYOZmdl7b1lKRERERJlHRBAREQFHR8eP3qiICfAnePbs2WdNuk5EREREmSMgIAB58uT5YJ1MTYBPnDiBGTNm4MKFC3j+/Dl+//13NGnSJNW6PXv2xK+//orZs2ejf//+SnlISAj69u2LXbt2QUdHB82bN8fcuXNhamqq1Lly5Qp69+4NPz8/2Nraom/fvhg6dOgnx6m+GjggIADm5uZftK9ERERElH7Cw8Ph5OT0SbO4ZGoCHBkZiVKlSqFLly4fnHT8999/x9mzZ+Ho6JhiWbt27fD8+XMcOnQIcXFx6Ny5M3r06IGNGzcCSGqM2rVrw9PTE0uWLMHVq1fRpUsXWFpaokePHp8Up3rYg7m5ORNgIiIioizsU4arZmoCXLduXdStW/eDdZ4+fYq+ffviwIEDqF+/vsaymzdvYv/+/fDz80O5cuUAAPPnz0e9evUwc+ZMODo6YsOGDYiNjcXKlSthYGCAYsWKwd/fX7lPOxERERFplyw9C0RiYiI6dOiAIUOGoFixYimWnzlzBpaWlkryCwCenp7Q0dGBr6+vUqdatWowMDBQ6nh5eeHWrVt4/fp1qs8bExOD8PBwjT8iIiIiyh6ydAI8bdo06OnpoV+/fqkuDwwMhJ2dnUaZnp4erK2tERgYqNSxt7fXqKN+rK7zrilTpsDCwkL54wVwRERERNlHlk2AL1y4gLlz52L16tUZPvWYt7c3wsLClL+AgIAMfX4iIiIiSj9ZNgE+efIkgoODkTdvXujp6UFPTw+PHj3CoEGDkD9/fgCAg4MDgoODNdaLj49HSEgIHBwclDpBQUEaddSP1XXeZWhoqFzwxgvfiIiIiLKXLJsAd+jQAVeuXIG/v7/y5+joiCFDhuDAgQMAAA8PD4SGhuLChQvKekePHkViYiLc3d2VOidOnEBcXJxS59ChQ3BxcYGVlVXG7hQRERERZbpMnQXizZs3uHv3rvL4wYMH8Pf3h7W1NfLmzQsbGxuN+vr6+nBwcICLiwsAwNXVFXXq1EH37t2xZMkSxMXFoU+fPmjdurUyZVrbtm0xbtw4dO3aFcOGDcO1a9cwd+5czJ49O+N2lIiIiIiyjExNgM+fP48aNWoojwcOHAgA6NSpE1avXv1J29iwYQP69OmDWrVqKTfCmDdvnrLcwsICBw8eRO/eveHm5oacOXPCx8eHU6ARERERaSmViEhmB5HVhYeHw8LCAmFhYR8cD+zb7LsMjOrr4r7jUGaHQERERNnYp+ZrQBYeA0xERERElB6YABMRERGRVmECTERERERahQkwEREREWkVJsBEREREpFWYABMRERGRVmECTERERERahQkwEREREWkVJsBEREREpFWYABMRERGRVmECTERERERahQkwEREREWkVJsBEREREpFX0MjsAos/xdGHPzA4hy8rde0lmh0BERPRVYA8wEREREWkVJsBEREREpFWYABMRERGRVmECTERERERahQkwEREREWkVJsBEREREpFWYABMRERGRVsnUeYBPnDiBGTNm4MKFC3j+/Dl+//13NGnSBAAQFxeHUaNGYe/evbh//z4sLCzg6emJqVOnwtHRUdlGSEgI+vbti127dkFHRwfNmzfH3LlzYWpqqtS5cuUKevfuDT8/P9ja2qJv374YOnRoRu8uUZb32n9eZoeQZVmV7pfZIRARURrJ1B7gyMhIlCpVCgsXLkyxLCoqChcvXsTo0aNx8eJF7NixA7du3UKjRo006rVr1w7Xr1/HoUOHsHv3bpw4cQI9evRQloeHh6N27drIly8fLly4gBkzZmDs2LFYunRpuu8fEREREWU9mdoDXLduXdStWzfVZRYWFjh06JBG2YIFC1ChQgU8fvwYefPmxc2bN7F//374+fmhXLlyAID58+ejXr16mDlzJhwdHbFhwwbExsZi5cqVMDAwQLFixeDv749Zs2ZpJMpEREREpB2+qjHAYWFhUKlUsLS0BACcOXMGlpaWSvILAJ6entDR0YGvr69Sp1q1ajAwMFDqeHl54datW3j9+nWqzxMTE4Pw8HCNPyIiIiLKHr6aBDg6OhrDhg1DmzZtYG5uDgAIDAyEnZ2dRj09PT1YW1sjMDBQqWNvb69RR/1YXeddU6ZMgYWFhfLn5OSU1rtDRERERJnkq0iA4+Li0KpVK4gIFi9enO7P5+3tjbCwMOUvICAg3Z+TiIiIiDJGpo4B/hTq5PfRo0c4evSo0vsLAA4ODggODtaoHx8fj5CQEDg4OCh1goKCNOqoH6vrvMvQ0BCGhoZpuRtERERElEVk6R5gdfJ7584dHD58GDY2NhrLPTw8EBoaigsXLihlR48eRWJiItzd3ZU6J06cQFxcnFLn0KFDcHFxgZWVVcbsCBERERFlGZmaAL958wb+/v7w9/cHADx48AD+/v54/Pgx4uLi0KJFC5w/fx4bNmxAQkICAgMDERgYiNjYWACAq6sr6tSpg+7du+PcuXM4deoU+vTpg9atWytzBbdt2xYGBgbo2rUrrl+/js2bN2Pu3LkYOHBgZu02EREREWWiTB0Ccf78edSoUUN5rE5KO3XqhLFjx+LPP/8EAJQuXVpjvWPHjuHbb78FAGzYsAF9+vRBrVq1lBthzJv372T+FhYWOHjwIHr37g03NzfkzJkTPj4+nAKNiIiISEtlagL87bffQkTeu/xDy9Ssra2xcePGD9YpWbIkTp48+dnxEREREVH2k6XHABMRERERpbUsPwsEEVF28jb6TGaHkGUZG3lkdghEpCXYA0xEREREWoUJMBERERFpFSbARERERKRVmAATERERkVZhAkxEREREWoUJMBERERFpFSbARERERKRVmAATERERkVbhjTCIiChbOXNvTmaHkCV5FOif2SEQZRnsASYiIiIircIEmIiIiIi0ChNgIiIiItIqTICJiIiISKswASYiIiIircIEmIiIiIi0ChNgIiIiItIqnAeYiIiIPtn0Y4MzO4Qsa2iNmZkdAn0i9gATERERkVZhAkxEREREWiVTE+ATJ06gYcOGcHR0hEqlws6dOzWWiwh8fHyQK1cuGBsbw9PTE3fu3NGoExISgnbt2sHc3ByWlpbo2rUr3rx5o1HnypUrqFq1KoyMjODk5ITp06en964RERERURaVqQlwZGQkSpUqhYULF6a6fPr06Zg3bx6WLFkCX19fmJiYwMvLC9HR0Uqddu3a4fr16zh06BB2796NEydOoEePHsry8PBw1K5dG/ny5cOFCxcwY8YMjB07FkuXLk33/SMiIiKirCdTL4KrW7cu6tatm+oyEcGcOXMwatQoNG7cGACwdu1a2NvbY+fOnWjdujVu3ryJ/fv3w8/PD+XKlQMAzJ8/H/Xq1cPMmTPh6OiIDRs2IDY2FitXroSBgQGKFSsGf39/zJo1SyNRJiIiIiLtkGVngXjw4AECAwPh6emplFlYWMDd3R1nzpxB69atcebMGVhaWirJLwB4enpCR0cHvr6+aNq0Kc6cOYNq1arBwMBAqePl5YVp06bh9evXsLKySvHcMTExiImJUR6Hh4en014SERERaao0r01mh5Blne73W5psJ8teBBcYGAgAsLe31yi3t7dXlgUGBsLOzk5juZ6eHqytrTXqpLaN5M/xrilTpsDCwkL5c3Jy+u87RERERERZQpZNgDOTt7c3wsLClL+AgIDMDomIiIiI0kiWTYAdHBwAAEFBQRrlQUFByjIHBwcEBwdrLI+Pj0dISIhGndS2kfw53mVoaAhzc3ONPyIiIiLKHrJsAuzs7AwHBwccOXJEKQsPD4evry88PDwAAB4eHggNDcWFCxeUOkePHkViYiLc3d2VOidOnEBcXJxS59ChQ3BxcUl1/C8RERERZW+ZmgC/efMG/v7+8Pf3B5B04Zu/vz8eP34MlUqF/v37Y+LEifjzzz9x9epVdOzYEY6OjmjSpAkAwNXVFXXq1EH37t1x7tw5nDp1Cn369EHr1q3h6OgIAGjbti0MDAzQtWtXXL9+HZs3b8bcuXMxcODATNprIiIiIspMmToLxPnz51GjRg3lsTop7dSpE1avXo2hQ4ciMjISPXr0QGhoKKpUqYL9+/fDyMhIWWfDhg3o06cPatWqBR0dHTRv3hzz5s1TlltYWODgwYPo3bs33NzckDNnTvj4+HAKNCIiIiItlakJ8LfffgsRee9ylUqF8ePHY/z48e+tY21tjY0bN37weUqWLImTJ09+cZxERERElH1k2THARERERETpgQkwEREREWkVJsBEREREpFWYABMRERGRVmECTERERERahQkwEREREWkVJsBEREREpFWYABMRERGRVmECTERERERahQkwEREREWkVJsBEREREpFWYABMRERGRVmECTERERERa5YsS4DFjxuDRo0dpHQsRERERUbr7ogT4jz/+QIECBVCrVi1s3LgRMTExaR0XEREREVG6+KIE2N/fH35+fihWrBh+/vlnODg44KeffoKfn19ax0dERERElKa+eAxwmTJlMG/ePDx79gwrVqzAkydPULlyZZQsWRJz585FWFhYWsZJRERERJQm/vNFcCKCuLg4xMbGQkRgZWWFBQsWwMnJCZs3b06LGImIiIiI0swXJ8AXLlxAnz59kCtXLgwYMABlypTBzZs3cfz4cdy5cweTJk1Cv3790jJWIiIiIqL/7IsS4BIlSqBixYp48OABVqxYgYCAAEydOhUFCxZU6rRp0wYvXrxIs0CJiIiIiNKC3pes1KpVK3Tp0gW5c+d+b52cOXMiMTHxiwMjIiIiIkoPX9QDrB7r+663b99i/Pjx/zkoIiIiIqL08kUJ8Lhx4/DmzZsU5VFRURg3btx/DkotISEBo0ePhrOzM4yNjVGgQAFMmDABIqLUERH4+PggV65cMDY2hqenJ+7cuaOxnZCQELRr1w7m5uawtLRE165dU42fiIiIiLK/L+4BVqlUKcovX74Ma2vr/xyU2rRp07B48WIsWLAAN2/exLRp0zB9+nTMnz9fqTN9+nTMmzcPS5Ysga+vL0xMTODl5YXo6GilTrt27XD9+nUcOnQIu3fvxokTJ9CjR480i5OIiIiIvh6fNQbYysoKKpUKKpUKhQsX1kiCExIS8ObNG/Ts2TPNgjt9+jQaN26M+vXrAwDy58+P3377DefOnQOQlIjPmTMHo0aNQuPGjQEAa9euhb29PXbu3InWrVvj5s2b2L9/P/z8/FCuXDkAwPz581GvXj3MnDkTjo6OaRYvEREREWV9n5UAz5kzByKCLl26YNy4cbCwsFCWGRgYIH/+/PDw8Eiz4CpVqoSlS5fi9u3bKFy4MC5fvoy///4bs2bNAgA8ePAAgYGB8PT0VNaxsLCAu7s7zpw5g9atW+PMmTOwtLRUkl8A8PT0hI6ODnx9fdG0adMUzxsTE6Nxe+fw8PA02yciIiIiylyflQB36tQJAODs7IxKlSpBX18/XYJSGz58OMLDw1GkSBHo6uoiISEBkyZNQrt27QAAgYGBAAB7e3uN9ezt7ZVlgYGBsLOz01iup6cHa2trpc67pkyZkqZjmYmIiIgo6/jkMcDJe0HLlCmDt2/fIjw8PNW/tLJlyxZs2LABGzduxMWLF7FmzRrMnDkTa9asSbPnSI23tzfCwsKUv4CAgHR9PiIiIiLKOJ/cA2xlZYXnz5/Dzs4OlpaWqV4Ep744LiEhIU2CGzJkCIYPH47WrVsDSLoBx6NHjzBlyhR06tQJDg4OAICgoCDkypVLWS8oKAilS5cGADg4OCA4OFhju/Hx8QgJCVHWf5ehoSEMDQ3TZB+IiIiIKGv55AT46NGjygwPx44dS7eAkouKioKOjmYnta6urnKDDWdnZzg4OODIkSNKwhseHg5fX1/89NNPAAAPDw+EhobiwoULcHNzU/YlMTER7u7uGbIfRERERJR1fHICXL16deX/zs7OcHJyStELLCJpOlygYcOGmDRpEvLmzYtixYrh0qVLmDVrFrp06QIAUKlU6N+/PyZOnIhChQrB2dkZo0ePhqOjI5o0aQIAcHV1RZ06ddC9e3csWbIEcXFx6NOnD1q3bs0ZIIiIiIi00BfdCtnZ2VkZDpFcSEgInJ2d02wIxPz58zF69Gj06tULwcHBcHR0xI8//ggfHx+lztChQxEZGYkePXogNDQUVapUwf79+2FkZKTU2bBhA/r06YNatWpBR0cHzZs3x7x589IkRiIiIiL6unxRAvy+G2G8efNGI/H8r8zMzDBnzhzMmTPnvXVUKhXGjx//wVswW1tbY+PGjWkWFxERERF9vT4rAR44cCCApKRz9OjRyJEjh7IsISEBvr6+ylhcIiIiIqKs6LMS4EuXLgFI6gG+evUqDAwMlGUGBgYoVaoUBg8enLYREhERERGloc9KgNWzP3Tu3Blz586Fubl5ugRFRERERJRevmgM8KpVq9I6DiIiIiKiDPFFCXBkZCSmTp2KI0eOIDg4WJmXV+3+/ftpEhwRERERUVr7ogS4W7duOH78ODp06IBcuXKlOiMEEREREVFW9EUJ8L59+7Bnzx5Urlw5reOhZC69fI31dx7hVmg4XkbHYpp7SVR3/Hfu5WU37+HwkyAEvY2Gvo4OXCzN0bNoARS3ttDYzqnAl1jxz33cC3sDA10dlMlphekVSynLf7l8C1dCQnE//A3ym5lgXc2KGbaPRERERBntixJgKysr5bbIlH7exiegkIUpGuZzxHDfKymW5zU1waBSLshtYoyYhET8dvcxfj51EdtqV4aVYdIMHUefBmHqpZvoWawgyuW0QoII7oVHpthWw3yOuB4Shrvhb9J9v4iIiIgy0xclwBMmTICPjw/WrFmjMRcwpa1KDjlRySHne5d7OTloPO5fojB2PXqGu2FvUN7OGvGJiZh95Tb6FC+ERvlzK/WczU011htUygUA8DomlgkwERERZXtflAD/8ssvuHfvHuzt7ZE/f37o6+trLL948WKaBEefLi4xETsfPoWpvh4KWSQluLdCI/AiOgY6KhU6Hj2LV9GxKGRphr7FC6HAO0kwERERkbb4ogS4SZMmaRwGfam/n7/AaL9riE5IQE4jQ8yrXAaW/x/+8CzqLQBg+c376FeiEBxzGGPj3UfodfICtnxXCRYG+h/aNBEREVG29EUJ8JgxY9I6DvpCbrbWWFvTHWGxcfjj4VOMPHcVK76tAGtDAyRKUp0fXPKjZm57AMCossXQaP9JHH0ahKbOeTIxciIiIqLMoZPZAdB/Y6ynCyfTHChubYGRZYtCV6XCrodPAQA5jZJ6gvOb/TvcwUBXB44mxgiMis6UeImIiIgy2xf1ACckJGD27NnYsmULHj9+jNjYWI3lISEhaRIcfT4BEPv/G5MUsTSHgY4OHr+JROmclgCA+MREPI+KRq4cRpkXZBZx9u4zLDl8GVcfv0RQeBSWd6+NOqWcAQBxCQmYvssPR68H4PGrcJgbGaBKkdzwbuQOB0sTAMDp28/Qat6uVLe9e0hTlM6XNGXdXzcC8Mve87j9/DUM9XXhXiAXfJp5wMnGLGN2lIiIiDR8UQI8btw4LF++HIMGDcKoUaMwcuRIPHz4EDt37oSPj09ax6i1ouLj8eTNW+Xxs6i3uB0aAXMDfVgY6GP1rQeomssWNkYGCIuJw7b7AXjxNga1/j/cwURfD02dc2PZzfuwNzaCQw4jrL/zCACUIREAEPAmCm/jExASHYuYhETcDo0AADibm0BfJ/v+SBAVE4+iuW3wvUcRdF92UGPZ29h4XAt4if51y6JobhuERsVgzLbT6PLrfuwd1hwAUO4be1yc3EFjvRm7/XDq1lOUymsLAHj8Mhxdlx5A95olML9TTUREx2Ls9jPovuwg9g9vnjE7SkRERBq+KAHesGEDli1bhvr162Ps2LFo06YNChQogJIlS+Ls2bPo169fWseplW6+Dkfvv/+dUWPu1TsAgHp5c2FY6SJ4GBGJvY+fIzQ2FhYG+nC1NMeSam74JtkMD32LF4KuSoWxF64jJiEBxawssLBKWZgnuwBu8qUbuPQyVHnc8ZgvAGBH7cpwNDFO573MPDWL5UXNYnlTXWZubIjf+jbQKJvYqjIazPgdT0MikNvaDAZ6urAz/3cawLiEBBy88hCdqxdX7o54JeAlEhIFQxtUgI5OUlnPWiXRZekBxCUkQF9XN532joiIiN7nixLgwMBAlChRAgBgamqKsLAwAECDBg0wevTotItOy7nZWuNsU8/3Lp+W7G5u76Ono4N+JQqjX4nC762zuGq5L4pP20S8jYVKlZQcp+bglUd4HRmDVhVdlLKSTjmhowNsPnsLrSoWRmRMHLafu4OqLnmY/BIREWWSL0qA8+TJg+fPnyNv3rwoUKAADh48iLJly8LPzw+GhqknB0Rfs+i4eEz+wxeN3QrCzNgg1TqbzvyD6q554Gj1bw983pzm2NC7Pn5aeRjDN51AQqLAzdkea3+qm1GhZ6rTF+5i/tqjuHwjAIEvw7FuVlfUr1ESABAXl4BJi/bg0N838OjJK5ibGqG6uwt8+jVELruk23k/fvYKM5YewEm/Owh+FQEHW3O0rFcOg7rVhoH+v6cvEcGCdcewdvtpBDwPgY2lKbq0qoJB3Wpnyn4TEVHW9kUJcNOmTXHkyBG4u7ujb9++aN++PVasWIHHjx9jwIABaR0jUaaKS0jATysOQwSY8n3VVOs8e/0Gx28+weIumj32weFRGLrxBFq4F0YTt4J4ExOLmbvP48cVh/Bbn/rKUInsKvJtLIoXzo12jd3RcdBKjWVvo2Nx+WYABnf3QvHCjggNfwvvGTvQrv8yHN04GABw+0EwEkUwa9T3+MYpJ27efY7+EzYh6m0sJgxsomzLe/oOHDv7D8YPaIyihRzxOiwKr1O55TcRERHwhQnw1KlTlf9///33yJs3L86cOYNChQqhYcOGaRYcUWaLS0hAzxWH8eR1BLb0bfje3t8tZ2/BysQQtUvm0yhfc+I6zI0NMKpJRaVsXqeaqDB6Ay4+DIabs/27m8pWvqtSFN9VKZrqMnMzY/y+pLdG2fThzeHZfhaePA9BnlzW8KzsCs/Krsry/Hly4s6jYKzaekpJgG/dD8TKbX/j1NbhKJQ/qT3z5bZJnx0iIqJs4YsS4Hd5eHjAw8MjLTZFlGWok9+HL8KwpV9DWJmmPnWciGDL2VtoUaFwinG9b2PjU/Ty6v7/YjgRSZ/Av2LhEdFQqVQwN8vx3joRb6JhleziwwMnriN/7pw4cOI6WvZeAhGgunthjOvfCFYWJhkRNhERfWW+aI6rtWvXfvAvLT19+hTt27eHjY0NjI2NUaJECZw/f15ZLiLw8fFBrly5YGxsDE9PT9y5c0djGyEhIWjXrh3Mzc1haWmJrl274s2bN2kaJ319ImPicP3JS1x/8hIAEPAqAtefvMTTkAjEJSTgx+WHcOXxC8zvVAsJIggOj0JweBRi4xM0tnPq9lM8fhWBNpWKpHiOWsXy4vLjYMzedwH3g8NwNeAFBq7/C3msTVEsT84M2c+vRXRMHMbN+xPN65SF+Xu+bNx//AJLN51ApxaVlLKHT14i4HkI/jjsj8UT2mPh+La4fDMAPwxZlVGhExHRV+aLeoB//vlnjcdxcXGIioqCgYEBcuTIgY4dO6ZJcK9fv0blypVRo0YN7Nu3D7a2trhz5w6srKyUOtOnT8e8efOwZs0aODs7Y/To0fDy8sKNGzdgZJT0IdquXTs8f/4chw4dQlxcHDp37owePXpg48aNaRInfZ0uP3qhcSOLcTvOAABauhfGwHrlcPBq0pzJtadu01hvS7+GqFTYUXn82+lbKPeNPQo6WOFdlV1yY0GnWlh8+DIWH/KHsYEe3Jztsb5XPRgbpMkPMNlCXFwCugxdDRFg5ohWqdZ5FhyKln2WoLFnaXRq9m8CnCiCmNh4LJ7QHgX/f/OReWPaoEbbmbjzMEgZFkFERKT2RZ/Ar1+/TlF2584d/PTTTxgyZMh/Dkpt2rRpcHJywqpV//bkODs7K/8XEcyZMwejRo1C48aNAST1Ttvb22Pnzp1o3bo1bt68if3798PPzw/lyiVN9zV//nzUq1cPM2fOhKOjI0g7VSrsiCcLfnzv8g8tS25h51ofXN64XEE0Llfws2LTJnFxCegybFVSL+7SPqn2/j4PDkPj7gtQoaQz5oz+XmOZfU5z6OnpKMkvABT+/9jqJ4Gvs3UC/PfflzB79kZcungLgYEvsWnzFDRqVF1ZvnPnX1ix/HdcunQLISHhOHN2NUqV0pwS0at2b5w8eUmjrGu3Jpg/f6jyOOBxIPr9PAMnjl+Eqakx2rWrh/ETekJPj1/iiOjrlGa3+SpUqBCmTp2aonf4v/jzzz9Rrlw5tGzZEnZ2dihTpgyWLVumLH/w4AECAwPh6fnvlfcWFhZwd3fHmTNJvXlnzpyBpaWlkvwCgKenJ3R0dODr65vq88bExCA8PFzjj4jSnjr5vff4BX5f0hvWlinH7D4LDkWj7vNRytUJC8a1hc47dyd0L/0N4uMT8SDgpVJ279ELAIBTLuv03YFMFhkZjRIlCmL2nEGpLo+KeguPSqUwYWKvD26nc5dGuP9gl/I3adK/FycmJCSgWbPBiIuNx9Fjv2LpstFYv34vxo9fnqb7QkSUkdL067uenh6ePXuWZtu7f/8+Fi9ejIEDB2LEiBHw8/NDv379YGBggE6dOiEwMBAAYG+v2cNjb2+vLAsMDISdnZ3Gcj09PVhbWyt13jVlyhSMGzcuzfaDSFu9iYrBg4AXyuNHT1/h6q0nsDLPAfucFvhhyEpc/ucJNs3tgYTERAS9TPqyaWWRAwb6eknJb7f5cMpljfEDG+Pl63/H7tvnNAcAfOteGKVc86Dv2I2YPKQZEhMFQ6ZuxbcVXTR6hbMjLy8PeHm9/wLktm2T5pt+9Oj5B7eTw9gIDg6pz5xx+PA53Lz5ELv3zIO9vTVKlQJG+3TH6FGLMGpUVxgku6skEdHX4osS4D///FPjsYjg+fPnWLBgASpXrpwmgQFAYmIiypUrh8mTJwMAypQpg2vXrmHJkiXo1KlTmj3Pu7y9vTFw4EDlcXh4OJycnNLt+YiyK/8bj9Go+wLl8ahfdgIA2jSsgGE962Df8WsAgGqtp2us9+eyPqhSrhD+OnsL9wNe4n7ASxT3GqNRJ+TSXACAjo4ONs7pgWHTtqFB13nIYWyAWpVdMTHZPMH0YZs3H8SmTQdgb2+NevWqYLh3Z+TIkTQUxdf3GooVLwB7+39707/7zh0/95uBGzfuo3Rpl/dtlogoy/qiBLhJkyYaj1UqFWxtbVGzZk388ssvaREXACBXrlwoWlRzDlFXV1ds374dAODg4AAACAoKQq5cuZQ6QUFBKF26tFInODhYYxvx8fEICQlR1n+XoaEh72hHlAaqlCukJKqp+dAyAGjbyB1tG7l/9Hly2Vlg7S9dPzs+Alp9/x3y5nVArly2uHb1LkaNWoTbtx9j0+YpAICgoFewt9O8wNPOzvr/y0IyPF4iorTwRQlwYmJiWseRqsqVK+PWrVsaZbdv30a+fEk3G3B2doaDgwOOHDmiJLzh4eHw9fXFTz/9BCBpjuLQ0FBcuHABbm5uAICjR48iMTER7u4f/2AlIsrOunZtovy/ePECcMhlg3p1++H+/Sf45ps8mRdYFnHp3D1sXHYUt64/wcvgcExZ3AXVvyuhLBcRLJ+7H39uPoOI8GiUdMuPIeNbwim/rVLn1rUALJqxGzevPIaOrg6+9SqJfiOaIIdJUkfLnu3nMGnYb6k+/27f8bC2MUvfnSTSQl+UACcfHvAxs2bN+pKnAAAMGDAAlSpVwuTJk9GqVSucO3cOS5cuxdKlSwEk9Tz3798fEydORKFChZRp0BwdHZVealdXV9SpUwfdu3fHkiVLEBcXhz59+qB169acAYKI6B3lyxcDANy7l5QA29vb4Pz5mxp1goOTen6TD4vIrqLfxqKga240aOkO714p55Zev/Qotq45gVHT28LRyQZLZ+/DgM5LsGH/cBga6uNFUBj6dVoCz/qlMXBMc0S+icbcib9j4tCNmLywMwDAs35pVKymOY/4xKG/ITYmjskvUTr5ogT40qVLuHjxIuLj4+HikjT+6/bt29DV1UXZsmWVeu/eAetzlS9fHr///ju8vb0xfvx4ODs7Y86cOWjXrp1SZ+jQoYiMjESPHj0QGhqKKlWqYP/+/cocwACwYcMG9OnTB7Vq1YKOjg6aN2+OefPm/afYiIiyoyuXk24k5OCQdKMWd/fimD5tDYKDQ5ShD0eOnIO5uQlcXZ3fu53swqO6Kzyqu6a6TESwZfVx/NC7Nqr9v1fYZ2ZbNHD3wYlDV/Fdg7I4dew69PR0MGhsc2UGk6ETWqJD/Rl48vAF8uS3haGRAQyN/r3N+utXb3Dh7B14T/4+1eclov/uixLghg0bwszMDGvWrFFuSvH69Wt07twZVatWxaBBqU/J8yUaNGiABg0avHe5SqXC+PHjMX78+PfWsba25k0viCjbefMmCvfuPVEeP3r4HJcv34a1lTmc8jogJCQcAQGBeP48aYq4O7cfAwDs7W3g4GCD+/efYPPmQ/Dy8oCNjQWuXr2LYUPnokqV0ihRImnuak/PCnB1zY9uXcdj4qTeCAp6hfHjlqLHj81haGiQMigt8izgFV69iEC5Sv/OrWxqZoyipfLh2qWH+K5BWcTFxkNfX09j+j5Dw6SZMy5feIA8yYZKqO373Q9GRvqoWbdU+u8EkZb6ogT4l19+wcGDBzXuyGZlZYWJEyeidu3aaZoAExFR6i5e/Ad1vPooj4cNS/plq337eli6bBT27DmJH3tMUpZ37OgDABgxsgtGjeoGA319HDvqh4ULNiMyMhp58tihSZMaGDb8B2UdXV1dbN8+A/1+noka3/aAiYkx2rWrCx+fbhmzk1lYyMsIAIB1TlONcuucpgh5kbTMrWIhzJv8BzYsO4pWnarh7dtYLJqxGwDwKjj1OeZ3b/XFdw3dNHqFs7P7l5/gxGY/PLkThIhXkeg4vhGKVSmkLBcRHFp9Guf2XMXbNzHIX9wRTft7ImeelHffjI+Nx4LeG/H83gv8vLQDHAumnArx5dPXmNtjHXR0dDBuV58Uy0k7fFECHB4ejhcvXqQof/HiBSIiIv5zUERE9HHVqpVF1NvT713eoUN9dOhQ/73L8zjZ4+ChRR99nrz5cmHnzrSb4UebfFM4F0ZPb4t5k//Akpl7oKOjQstO1WCd0wwqnZTDBK9efIiH94Lg80u7VLaWPcVGxyFXAVuUq1sc68b8mWL58U1+OLXjEloNrwNrBwscXHUKK4Ztx8BVP0D/nVvK7116AuY2pnh+L2WOAgAJ8Qn4beIeOJfIg0fX0+6+BfT1+aIEuGnTpujcuTN++eUXVKhQAQDg6+uLIUOGoFmzZmkaIBERUVZknTPpArWQl2+Q085CKQ95+QaFiv57kXXtRm6o3cgNIS8jYGRsAJUK2LTyL+R2SnnzkV1bzqKQa24UKa49c88XcXdGEffUx5OLCP7efhE127ujWOWkYTmthtfFxOaLcf3vuyhd89+LB//xfYDb5x+hw9hGuHXuQarbO7DyFGydrFGwbF4mwFruixLgJUuWYPDgwWjbti3i4uKSNqSnh65du2LGjBlpGiAREVFW5OhkAxtbM5w/fRuFi+YGAERGROPG5Udo2q5SivrqhHn3Vl8YGOqjfBXNm4hERcbg6D5/9Bz0/l57bRPyPAwRIZEo5JZPKTM2NYSTay48vvFMSYAjQiKx/ZeD6DShMfSNUk9t7l58jKvHb+PnpR1w7eSdDIk/Kwi/G4xnR//Bm4AQxIVHw6VrFViX/HeKQxFBwL5rCD5zD/Fv42DunBPOLcvB2O7fGUjiImPwcPtFvL72FNBRwbpkHjg3LwtdQ32N7Tw/dgtBp+8hJiQSeqaGcKhSEHlqF8vQ/f1UX5QA58iRA4sWLcKMGTNw7949AECBAgVgYmKSpsERERFlpqjIGDx59FJ5/DzgFW7feApzyxxwcLRCqx+qY82iQ3DKbwtHJ2ssnb0POe3NlVkhAGDb2pMoUTY/jE0M4ff3bSyY9id+GtIAZubGGs91ZM8lxMcnwqtJuQzbv6wuIiQSAGBqlUOj3NQqh7JMRLBl+n5UbFgKeVwcEBIYlmI7kWFvsWX6frT2rgcjE+260VVCbDxy5LaErfs3uL3y7xTLnx35B4EnbqNgO3cYWpsiYO9V3FzyF0p714OOvi4A4O66s4gNfwvXXjUgCYm4t9EX9zb5oXCnf7/oPdxxEaH/BCJf49LI4WiB+KhYxEfGZth+fq4vSoDVTExMULJkybSKhYiIKEv552oA+rRfqDyeN/kPAEC9ZuUxanpbtO9RE9FvYzFt1Ba8CX+LkuWcMWvlj8pMDwBw48pjLJ+3H28jY5CvgD2GTmiJuk3Lp3iuXVt98a1XiRSJMX3Y6d8vITYqFjXaVnhvne2/HESZmkXwTSntu7mLVVFHWBVN/b4HIoLnx28hT+1isC6R1DYF27vj/KidCLn6BDnL5kNUYBhCbz5HiUG1YZo3aSrE/C3c8M+vxxHbpAwMLIwRFRiGoL/votTwujC2N0/aeMoRPlnKf0qAiYiIsrOyFQvi9N3Z712uUqnQvX9ddO9f9711fGZ+2gVtS7f+/NnxZXdm1km/LL95HQVzm39n23jzOgqOBZOmkLt76TEe3XiOkV5zNNad33M9Snu64vvhdXHvUgBunr6HE1vOAwAEgCQKvD1nodmg71C+bgloo5hXkYgLj4ZFYXulTM/YAKb5bBDx4BVyls2HNw9fQddYX0l+AcCysD2gUiHi4SvYlMqD19efwTCnKV5ff4abS44DEFgUdkDeRqWgn0V73JkAExERUZZkncsCZtYmuHvxsTKlWXRkDAJuPkfFRknzJDfqUxNeXaoo64S/fIMVw7ajrU8DOLnmAgD0WtAGkihKnRun7uKvTX7oNb8NzN+Zxk6bxEVEAwD0zYw0yg3MjBAX8RYAEBv+NsVyla4O9HIYKHViXr5BTEgkXvkHoGB7d0ii4OHvl3B71SkU61MzA/bk8zEBJiIiokwT8zYWr56GKo9Dnofj2d1gGJsZwcreHFWal8XR9WeRM7clrHIlTYNmntMUxaokzQphpf7J/f8MjJOGn9g4WsLSNulCLvt8mr/HP7kVCJVKBQfnnOm4Z9pDRCDxiSjY3h3GdkmvR4E2FXB15kG8DQr/d1hEFsIEmIiIiDLNk1tBWDpwi/J49+K/AABuXsXQalgdVG9dHrHRcdg+6xCi38Qgf4nc6DK1WYo5gOnzqXt24yKiYWDx79jz2IhomOROutGIgbmx0lOsJgmJiI+Khb6ZsVJHpaNSkl8AStIb8zqKCTARERFRcgVKO2Ha0fffQValUqF258qo3bnyJ23P2sHig9sDgHJ1iqNcneKfFWd2ZGhjAn1zI4TdDoLJ/++sFx8dhzePXsHh/z3spvltkPA2Dm8CQmDqlDQOOOxOECACs/xJPetm3+SEJAqiX0bA6P/T/UX//26IhtY53n3aLIEJMBEREVE2lRATh+gXb5TH0a8iEfnkNfRyGMDQ2gS5qrvgycHrMLI1g6GNCQL2XoWBhbEyK0QOBwtYuubC/U1+cG5VDpKQiAfbLsKmTF6l19iisANM8ljh7sZzcG5WFiKCB1svwMLFXqNXOCthAkxERESUTb15HIIbC44pjx/tvAQAsK2QHwXbVYRjrSJIiI3H/c1+iH8bC/NvbOHas7oyBzAAFOxQEQ+2XcCNhcegUqlgXSrpRhhqKh0VivSohgfbLuDavCPQNdCDpWsu5GtSOsP283MxASYiIiLKpiwK2cNjbuv3LlepVMhbrwTy1nv/VHD6JoYaN71IjYGFMVy6VvlgnaxEJ7MDICIiIiLKSEyAiYiIiEirMAEmIiIiIq3CBJiIiIiItAoTYCIiIiLSKkyAiYiIiEirMAEmIiIiIq3yVSXAU6dOhUqlQv/+/ZWy6Oho9O7dGzY2NjA1NUXz5s0RFBSksd7jx49Rv3595MiRA3Z2dhgyZAji4+MzOHoiIiIiygq+mgTYz88Pv/76K0qWLKlRPmDAAOzatQtbt27F8ePH8ezZMzRr1kxZnpCQgPr16yM2NhanT5/GmjVrsHr1avj4+GT0LhARERFRFvBVJMBv3rxBu3btsGzZMlhZWSnlYWFhWLFiBWbNmoWaNWvCzc0Nq1atwunTp3H27FkAwMGDB3Hjxg2sX78epUuXRt26dTFhwgQsXLgQsbGxmbVLRERERJRJvooEuHfv3qhfvz48PT01yi9cuIC4uDiN8iJFiiBv3rw4c+YMAODMmTMoUaIE7O3tlTpeXl4IDw/H9evXU32+mJgYhIeHa/wRERERUfagl9kBfMymTZtw8eJF+Pn5pVgWGBgIAwMDWFpaapTb29sjMDBQqZM8+VUvVy9LzZQpUzBu3Lg0iJ6IiIiIspos3QMcEBCAn3/+GRs2bICRkVGGPa+3tzfCwsKUv4CAgAx7biIiIiJKX1k6Ab5w4QKCg4NRtmxZ6OnpQU9PD8ePH8e8efOgp6cHe3t7xMbGIjQ0VGO9oKAgODg4AAAcHBxSzAqhfqyu8y5DQ0OYm5tr/BERERFR9pClE+BatWrh6tWr8Pf3V/7KlSuHdu3aKf/X19fHkSNHlHVu3bqFx48fw8PDAwDg4eGBq1evIjg4WKlz6NAhmJubo2jRohm+T0RERESUubL0GGAzMzMUL15co8zExAQ2NjZKedeuXTFw4EBYW1vD3Nwcffv2hYeHBypWrAgAqF27NooWLYoOHTpg+vTpCAwMxKhRo9C7d28YGhpm+D4RERERUebK0gnwp5g9ezZ0dHTQvHlzxMTEwMvLC4sWLVKW6+rqYvfu3fjpp5/g4eEBExMTdOrUCePHj8/EqImIiIgos3x1CfBff/2l8djIyAgLFy7EwoUL37tOvnz5sHfv3nSOjIiIiIi+Bll6DDARERERUVpjAkxEREREWoUJMBERERFpFSbARERERKRVmAATERERkVZhAkxEREREWoUJMBERERFpFSbARERERKRVmAATERERkVZhAkxEREREWoUJMBERERFpFSbARERERKRVmAATERERkVZhAkxEREREWoUJMBERERFpFSbARERERKRVmAATERERkVZhAkxEREREWoUJMBERERFpFSbARERERKRVmAATERERkVZhAkxEREREWiVLJ8BTpkxB+fLlYWZmBjs7OzRp0gS3bt3SqBMdHY3evXvDxsYGpqamaN68OYKCgjTqPH78GPXr10eOHDlgZ2eHIUOGID4+PiN3hYiIiIiyiCydAB8/fhy9e/fG2bNncejQIcTFxaF27dqIjIxU6gwYMAC7du3C1q1bcfz4cTx79gzNmjVTlickJKB+/fqIjY3F6dOnsWbNGqxevRo+Pj6ZsUtERERElMn0MjuAD9m/f7/G49WrV8POzg4XLlxAtWrVEBYWhhUrVmDjxo2oWbMmAGDVqlVwdXXF2bNnUbFiRRw8eBA3btzA4cOHYW9vj9KlS2PChAkYNmwYxo4dCwMDg8zYNSIiIiLKJFm6B/hdYWFhAABra2sAwIULFxAXFwdPT0+lTpEiRZA3b16cOXMGAHDmzBmUKFEC9vb2Sh0vLy+Eh4fj+vXrqT5PTEwMwsPDNf6IiIiIKHv4ahLgxMRE9O/fH5UrV0bx4sUBAIGBgTAwMIClpaVGXXt7ewQGBip1kie/6uXqZamZMmUKLCwslD8nJ6c03hsiIiIiyixfTQLcu3dvXLt2DZs2bUr35/L29kZYWJjyFxAQkO7PSUREREQZI0uPAVbr06cPdu/ejRMnTiBPnjxKuYODA2JjYxEaGqrRCxwUFAQHBwelzrlz5zS2p54lQl3nXYaGhjA0NEzjvSAiIiKirCBL9wCLCPr06YPff/8dR48ehbOzs8ZyNzc36Ovr48iRI0rZrVu38PjxY3h4eAAAPDw8cPXqVQQHByt1Dh06BHNzcxQtWjRjdoSIiIiIsows3QPcu3dvbNy4EX/88QfMzMyUMbsWFhYwNjaGhYUFunbtioEDB8La2hrm5ubo27cvPDw8ULFiRQBA7dq1UbRoUXTo0AHTp09HYGAgRo0ahd69e7OXl4iIiEgLZekEePHixQCAb7/9VqN81apV+OGHHwAAs2fPho6ODpo3b46YmBh4eXlh0aJFSl1dXV3s3r0bP/30Ezw8PGBiYoJOnTph/PjxGbUbRERERJSFZOkEWEQ+WsfIyAgLFy7EwoUL31snX7582Lt3b1qGRkRERERfqSw9BpiIiIiIKK0xASYiIiIircIEmIiIiIi0ChNgIiIiItIqTICJiIiISKswASYiIiIircIEmIiIiIi0ChNgIiIiItIqTICJiIiISKswASYiIiIircIEmIiIiIi0ChNgIiIiItIqTICJiIiISKswASYiIiIircIEmIiIiIi0ChNgIiIiItIqTICJiIiISKswASYiIiIircIEmIiIiIi0ChNgIiIiItIqTICJiIiISKtoVQK8cOFC5M+fH0ZGRnB3d8e5c+cyOyQiIiIiymBakwBv3rwZAwcOxJgxY3Dx4kWUKlUKXl5eCA4OzuzQiIiIiCgDaU0CPGvWLHTv3h2dO3dG0aJFsWTJEuTIkQMrV67M7NCIiIiIKAPpZXYAGSE2NhYXLlyAt7e3UqajowNPT0+cOXMmRf2YmBjExMQoj8PCwgAA4eHhH3yeyLj4NIo4+/lY232qiLexabKd7Cgt2jj8TXQaRJI96abRMfw2OjJNtpMdxcWmTRtHRvA4Tk1anYejI2M+XklLpVUbx0fHpcl2sqMPtbF6mYh8dDsq+ZRaX7lnz54hd+7cOH36NDw8PJTyoUOH4vjx4/D19dWoP3bsWIwbNy6jwyQiIiKi/yggIAB58uT5YB2t6AH+XN7e3hg4cKDyODExESEhIbCxsYFKpcrEyD5deHg4nJycEBAQAHNz88wOJ9th+6Y/tnH6YvumP7Zx+mMbp6+vrX1FBBEREXB0dPxoXa1IgHPmzAldXV0EBQVplAcFBcHBwSFFfUNDQxgaGmqUWVpapmeI6cbc3PyrOGi/Vmzf9Mc2Tl9s3/THNk5/bOP09TW1r4WFxSfV04qL4AwMDODm5oYjR44oZYmJiThy5IjGkAgiIiIiyv60ogcYAAYOHIhOnTqhXLlyqFChAubMmYPIyEh07tw5s0MjIiIiogykNQnw999/jxcvXsDHxweBgYEoXbo09u/fD3t7+8wOLV0YGhpizJgxKYZyUNpg+6Y/tnH6YvumP7Zx+mMbp6/s3L5aMQsEEREREZGaVowBJiIiIiJSYwJMRERERFqFCTARERERaRUmwERERESkVZgAExEREZFWYQJMREREWmPEiBG4evVqZodBmYwJMH0y9Yx5oaGhCAwMRExMTCZHpN0SExM/qUyb1K5dGytXrszsMIjSDWcu/W9u376Na9euwdXVVaOc7Zr2krdpfHx8JkaSOs4DTJ9ERKBSqfDHH39g1qxZuHfvHsqVK4fixYtj4sSJmR2e1klMTISOTtL312vXriEuLg5WVlbInz9/5gaWicLCwrBjxw60a9cOBgYGSrn62KW0xXZNfyICEYGOjg4iIyOhp6eXLW9IkFHUx6z6382bN8PR0RFVq1bVWE5pa82aNXj8+DFGjx6dpdqYPcD0SVQqFfbv3482bdqgcePG2LdvH/Lly4fp06dj165dmR2eVlF/IALAqFGj0Lx5c7Rp0wZly5bFqFGjcP/+/UyOMHNYWFigc+fOMDAwwMyZMzFq1CgAUD7w6L9Rt2FkZCRiYmI0fgFi+6atkydP4vHjx1CpVNDR0cGff/6J77//HlWqVMHy5cvx6NGjzA7xq6T+hUylUuHNmzfo27cvpk+fDl9fX6Wcx3LaSkxMxMGDB3HgwAEAWauNmQDTR4kIoqOjsX79egwbNgwDBw5E7ty5sX37dvTs2RMNGzbM7BC1ivrb88yZM7Fs2TIsW7YM//zzD1q2bIn58+cjNDQ0cwPMBAkJCcr/Hzx4gLdv32LOnDmYPn06gKx10v0aqXtt9uzZg44dO6J8+fLo3bs3Nm3aBABZpkcnO/D19UXt2rWxbNkyhISE4Pz582jXrh0KFSoEFxcXjBo1CjNmzMD169czO9Svjq6uLgBg0KBB8PX1xZEjR3Dv3j1MmzYNZ8+eBcBzRVpS/1I5Y8YM3L59GwsWLACQdc4XTIDpo1QqFYyMjPDixQsUK1YMT548QcmSJVG/fn3MmzcPAPDnn3/i2LFjmRyp9khISMDp06fh4+ODatWq4ffff8eWLVswdepUlC1bFnFxcZkdYoZSf7ANHToUy5cvR6tWrTBmzBhMmjQJU6dOBcAPts+VvK1UKhV27dqFFi1aoHz58hg6dCgSExPRtm1b+Pv7Z16Q2ZC7uzvGjRuHtWvX4tdff8X+/fsxduxYzJ49G+vXr8fMmTNx9OhRLFiwgEnwJ0p+LO/evRsbN24EAJQoUQLr16/H9evXMX36dCbBaUxHRwciAltbW7Rv3x4nTpxAeHh41mlbIXqPxMRE5d+oqChp3LixdOnSRQoUKCDdunVTlr969Urat28vixcvloSEhMwMOdtSt7VaaGiouLq6yrlz5+TUqVNiamoqS5YsERGR6OhomTx5sly8eDEzQs1Qydvl7Nmzki9fPvH19RURkZcvX8rUqVPF3NxcpkyZkuo69GnCw8Olfv368ssvv4iIyIsXLyR37tzSp0+fTI4se4mPj1f+P3XqVMmXL5/kz59fpk+frlFv3bp14uLiIr1795bLly9ndJhfrT///FN++uknmTFjhoj8294XLlyQwoULS7NmzeTs2bOZGWK2MHfuXPH29pagoCCljffv3y/GxsayZ88eEcka52EmwJSC+sB88eKFhIeHS0hIiIiInDhxQkxMTKR06dIa9UeMGCEFChSQe/fuZXis2iD5l4rkbfzjjz9KsWLFxNjYWFavXq2UBwcHS7Vq1WTx4sUZGmdm+uWXX8Tb21sGDBigUf7ixQuZOnWqWFpaytSpUzMpuq/L5MmTZezYsRplYWFhUqRIETl58qQ8ffpUcufOLd27d1eWb926Va5du5bRoWY77yYF8+bNEyMjI/n+++/l8ePHGss2btwodnZ2MmDAAImJicnIML8aydvz8uXLUqFCBbGwsJBJkyaJSNK5NS4uTkRELl68KK6urlK9enUey//B69evZdKkSWJtbS3ffvut9OrVS8khhg0bJlWqVJHg4OBMjjIJE2BSJCYmKieMP//8UypVqiRlypSRb775RlatWiURERGyYsUKUalU0qJFC+nQoYO0b99eLC0ttaK3MTMkT37HjRsnjRs3lt9//11ERPbu3Svly5eXihUrSnR0tIiIhISESN26daVKlSoavUnZzbuJQps2bUSlUkmtWrXk7du3GstevHgh06dPF5VKJevWrcvIML86ERERMn36dLl586ZGeVhYmDRt2lTmzp0rzs7O0r17d+XYfPbsmXTp0kW2bNmSJXp1vlbqtvvrr79k1qxZSvncuXMlV65cMmbMGAkICNBYZ8uWLXL37t0MjfNrtn79enFzcxMXFxfx9/cXkaRzrPpcefbsWWndujV/yfwM72urV69eyeTJk6VixYpia2srY8eOlWHDhkm9evXkzJkzGRxl6pgAk7x8+VLj8d69e8XY2FhmzZol165dk/79+4tKpZLTp0+LSNIJuk2bNtKsWTMZOnRoig9LSnsjRowQGxsb2bNnj/IhmJiYKPPmzZNy5cpJ7ty5pUaNGlKuXDkpW7asxMbGiohk6yRYRDR6EgYOHCj6+vqydevWFPWCgoJk3bp1Sm8PvZ/6mDl+/LgMGzZMKR8+fLioVCqpV6+exnHl7e0tRYoUkUePHmV4rNnNtm3bxMbGRjp37iyXLl1SymfOnCm5c+cWHx8fefLkSeYF+BWaP3++9O/fX3n822+/SbVq1aRJkyZy9epVEdHsCVZjEvxxydvo1KlTsmXLFrl69aoEBgaKyL/nkilTpkirVq3E1tZWVCqVxnklMzEB1nJDhw6VDh06SHR0tPJNuG3btjJixAgREXn48KEUKlRIunXrprGeuseRJ4n0d+nSJSlatKgcOnRIKVO3e2Jiovj7+8vkyZNlzJgxsnz5cuWkk92TvTlz5oinp6fGGMhu3bqJiYmJ7N27973rZfd2+VLJe28TEhJk/PjxkidPHvH29lbKu3XrJqampjJy5Ejx8fGRbt26ibm5uUayRh+X/PoKtfPnz4u1tbUsX7481XVmzpwp+fPnl0GDBsnTp08zJM6vXWRkpIwePVpy5colo0ePVsrXrl0rNWrUkKZNmyrDHfjrxedJ3l7Dhg2T/PnzS758+aREiRLSvXv3FB1jT58+lb1790rbtm2VDprMxgRYi61evVqMjIzkzp07IiLKOLKSJUvKvn37JCIiQhwdHaVHjx7Kwb5w4UKNcag8aaStPn36yIkTJzTKjh8/Lra2tkpvRXLv+wKS3Xt+RUR8fX3FxsZGWrZsKVeuXFHKu3TpImZmZh9MgklT8vfxxYsXJTAwUAIDA2Xy5Mni6uoqQ4cOVZaPHDlS6tWrJxUqVJBu3bpxvOQX+Pvvv1OUrVmzRjw9PeXt27fK+/rd9/GYMWOkaNGi8uLFiwyJ82uT2vkwMDBQpk2bJk5OTjJy5EilfO3ateLp6SnVqlWT+/fvZ2SY2cq0adPE0dFRjh8/LiIi/fr1E0tLS2natKlcv35dqffua5MVkmAmwFrsl19+kdq1a4uIyIEDB2T9+vUiIvLTTz9Jy5YtJU+ePNKrVy/lQI2MjJTGjRvLtGnTmPimA39/f/n5559T9FDu379fHBwclF62+Ph4jbHaGzduzOhQM9y7J0/1/l+8eFEcHBykWbNmGl8QunfvLiqVKsuMNcuqkl9YlZCQIPfu3RNra2tlTH9QUJBMnDhRXF1dNX62DA8Pl7i4OPamf4G9e/dKrly55OXLlxoJ7sSJE8XJyUkZw578HHvq1Cnl/+8OWaOU3r0mJTAwUKZMmSJOTk4aPcFLliyRvn378pfMLxQQECB16tRRPoP27Nkj5ubm0qlTJylWrJg0a9ZMbt26JSKp/+qR2ZgAa6H169dLUFCQ/Pbbb2JjYyNdu3YVlUolO3fuFJGknuFChQpJhQoVJCIiQlnP29ubsz2kM/XJYe3atbJ9+3alvGTJklKpUiWN1yMqKkoaNGig8RN1drd3715lDGTyJNjW1lYaNWqkkQRPmTKFCdoHbNq0Sdzd3ZWeGxGR58+fS5EiRTR6GJMnwdp0rKWXwMBAef78uYiIxrjpbdu2SYECBWTnzp1KEqweltasWTNlmsOslEBkRYcOHRJbW1tZuHChRvmzZ89k6NChYmZmpkyDlhyT4C9z5MgRCQwMlHPnzknu3LmVdu/Xr5+YmppKtWrVsuyFmkyAtczQoUPFyclJuZCqcePGoq+vL61bt1aShcTERBk2bJiUKlVKqlevLv369ZPmzZtr9AxR2lL3BCUkJMjDhw+lRo0aUrVqVfnjjz9EROTKlStSoEABKVasmCxYsEAWLVoktWrVkmLFimlFkpeYmCgPHjwQlUolXbt2VRIIdTLg5+cnBgYG8sMPP4ifn5/GutrQPl9i586d8t1330m9evWUJPj+/fvi4uIi4eHhIvJvUhAUFCSTJ08We3t7GT9+fKbFnJ3cunVLjI2NZfbs2UpZtWrVxNXVVbZu3SqvX7+WV69eyciRIyV37txy+/btzAv2K3L9+nXp27evFC1aNMVUkKdPnxZzc3NRqVSyaNEipZxfKj7ufV8Q1OfXESNGSKtWrZShlNOmTZPq1avLyJEjs+yXCybAWuTBgwdSqFAh5eeKBw8eiIuLi9SrV08sLS1lxowZytWbiYmJsn79eunevbvUq1dPBg8ezNkeMtCRI0ekefPm8u233yoTh798+VIaN24sbm5uUr58eY2LCbLjmN/UPpT27dsnhoaG0qNHDyUJFknqDS9RooSoVCqNcX70Yfv27ZO6detK7dq15e+//5Z//vlH7O3tU/2ZPTg4WGbOnJlle3O+BupjOjo6Wt6+fSuDBg0Sa2trmTdvnlKnbt264urqKpaWluLh4SG5cuVix8N7vC+xunv3rvz8889SuHBhjUT3xo0b0qFDB9m6dWu2PGeml+TtvHXrVlm6dKksX75cXr16pSzr06ePeHh4yLNnz0REpFmzZvLrr78qx3xWTIJVIlnlnnSU3h4+fIjGjRvjp59+gkqlwrZt27B48WIULFgQ48aNw+zZszF69Gh06NABdnZ2mR2u1lm6dCm2bt2KQ4cOAQCOHTuGefPmITQ0FAMHDkTDhg0BAK9fv4aenh5MTU2hUqkQHx8PPT29zAw9zanvIQ8AYWFhMDMzQ1xcHAwNDbF37140atQIXbp0wdixY+Ho6IioqCj4+PigadOmqFixonJrZEqdiEClUgEA9u3bh3nz5kFXVxc1a9bEtm3b8MMPP8DS0lKpFx4ejlKlSqF8+fKZHPnX7+LFi1i4cCHmzJmD6OhozJs3D3PnzsXEiRPRr18/AMDJkyfxzz//IGfOnHBzc0PevHkzOeqsJ/kxvHjxYty7dw8hISHo2bMnypQpg5cvX2LatGn4448/0LZtWzRs2BDjx4+HnZ0dVq1aBZVKhYSEBJ4rPiJ5Ow8ePBhLly6Fi4sLbty4gZIlS6J3795o164dtmzZgunTpyM+Ph4qlQoxMTG4evUq9PT0NLaRpWRi8k2ZYNq0aWJtbS26uroak62LJN1owcLCQmbOnMkLLTJYXFycLFu2TAoXLiytWrVSyo8ePSpNmjSRGjVqyJ9//plivez4013yfZo4caJUq1ZNqlSpIj179pSHDx+KSNLFFsbGxtK4cWPx9vYWLy8vqVChgrIue3c+zx9//CH169cXZ2dnUalUUqdOHSlQoIC4urpKqVKlxMXFRbmYhf6bpUuXiouLi3KB5uPHj2X06NFiZmam0RNM75e8N3Ho0KHKrANlypQROzs78fHxkZCQEAkMDJTp06eLmZmZuLi4iIeHh/KrWXY8d6anJ0+eiJubm5w/f16io6MlNDRUGjVqJJUqVZJ9+/aJSNJMJuPGjRNvb29laERWPhczAdYS6hPG8ePHRaVSiYWFhaxatUq5RaHauHHjJGfOnDJhwoQUyyjtpPZzUGRkpKxfv16KFi0qzZs3V8qPHTsmzZo1k+LFi2tcDZ4dJf9Qmjt3rpibm8vMmTPlp59+kqpVq4qdnZ2SiB0/flzq168vVatWlSZNmvCD7RMkv3Bw7969cuDAAWXZrl27pEGDBlKrVq0Us2e8efMmQ+PMTtRtnrwNGzRoIKVKlVIeP3nyREaPHi3W1tbyyy+/ZHSIX61Xr15Jq1atxNfXVymbMGGCFC9eXKZNmyYiSe0fGBgoV69eVc67vC7g80yZMkVq164tTZs2lTdv3ijHdEhIiFSvXl1q1qyZ6npZvZ2ZAGsZX19f2bdvn3h7e4uNjY0sWrRIQkNDNeoMGzZM8uXLJ69evcqkKLO35Ala8ptbiCSNZV27dq0UK1ZMWrZsqZTv27dPhg8fnqW/TaclX19f6dSpk2zbtk0pu3XrltSvX1/y58+vjP998+aNxMbGKm2a1U+4WcHWrVvF0tJS8ubNK05OTtK6dWtl2e+//y516tSRevXqyf79+5Vyfqn4b/bt2ydNmjRRZnZ59eqVlChRQgYNGqTUefbsmQwcOFCcnJzk9evXbPOPWLJkiVhZWUmZMmVSXCA4YsQIsbOzS7UTJyuORc3KEhISZMmSJWJubi7Ozs7y+vVrEfn3vgG+vr5iYGAgly5d+uqOWSbA2VzyuffUB6zazz///N4kmBOtp72aNWtq3LXszJkzkitXLunbt69GvTdv3sj8+fPFzMxMunbtmmI72S0JHjx4sMaE6X/88YcULVpUHB0d5ciRI0p5QkKCXLx4UUqXLi0rV64UEc22+NpOvhlJ3TaRkZHi6ekpa9euldu3b8umTZvEwcFB6tSpo9TdtWuXVKpUSZo3by5RUVGZFXK2MnjwYFGpVGJpaSn9+vWT27dvy/Tp06VFixYaN8UIDAzUuL03vZ+fn59UrlxZjIyMlDnS1Z9xERERYmVlpfEFmj5NaufRiIgIWb9+vRgZGcmAAQM0lv3999/yzTfffJWzlGSvK2dIg/x/4PmBAwewefNm3LlzB15eXqhcuTJq1KiBOXPmAABGjx4NXV1dtGrVCpaWlgAAGxubzAs8GwoNDYW7uztcXFyUMmdnZ/Tr1w+//fYb+vfvr7weJiYmaNiwIWbOnIlVq1YhZ86cmDp1qvJ6ZqeLNo4fP47w8HAULlxYKatRowY8PDywceNGbNq0CZUqVYKRkRF0dHRQrFgxJCQk4N69ewCg0RZZ8iKLLEKlUuGvv/7C/PnzkStXLnh5ecHOzg7Ozs6wtLREp06dULduXezbtw8NGjSArq4uihcvDmNj48wO/auTmJgIAMpFnADQvn17PH/+HGXLlsXOnTsxdepU6Orq4vLlyzh27BgqV64MALC3t8+UmLO65BfFqpUuXRoLFy5E+/bt0blzZxw5cgTW1tYAgFevXsHMzAxmZmaZEe5XK3k7v3r1Cjo6OrCysoKpqSmaN2+O2NhY/Pjjj4iOjsb3338PS0tLTJo0Cba2tihQoEAmR/8FMjsDp/S1c+dOMTQ0lG7duknPnj2lYMGCUqtWLVm1apVSR907sWLFCvaiZYCpU6fKsWPHRCRpaqnp06dLsWLFpH///kqdJ0+eSIcOHWT37t3Z/ic79TG3adMmOXnypIgk9VR2795dSpUqJdOnT1fqRkdHS5kyZWTy5MmZEuvXKiEhQVauXCn29vaSJ08ejWVxcXGyf/9+yZMnj1SsWDGTIvz67dixQ27cuKE8Pnz4sDIOVSTpRkLqXvU1a9ZI7969RaVSiUqlkoMHD2ZGyF+F5Oe/U6dOyZ49e+T8+fMSFhYmIiJXr14VFxcXKVasmCxbtkx27Ngh9erVk1KlSmW7X8vSU/J2njp1qlSsWFFKlSolXl5eSlvHxcXJypUrxdTUVFQqlQwYMECaN28u0dHRKbbxNWACnI29ePFCKlasKDNnzlTKrl+/Lu3btxdPT0+NC6pGjhzJq7wzQFRUlDRs2FAMDAyU9lcnwS4uLtKoUSPZsWOH1KpVS5o0aZKtZzVI/mXrn3/+kXLlykmdOnWUC1revHkjP/zwgzg7O8t3330nw4cPl6ZNm0rhwoU51vcTJW/jkJAQWbNmjZiZmUnnzp016sXFxcmuXbvExcVF4+5k9GmuXLkipUqVkqZNmyo/Bc+dO1dUKpU0adJEGU9do0YN5Sfk6OhoGT16tDg7O/Pc+wmGDBkiuXLlkgIFCoi+vr40b95cadcrV66Im5ubqFQq6d27t4wdO1a5m152PHemteSJ64gRI8TBwUF+/fVXOXr0qOTOnVuqVKmifLmLiYmR9evXi5mZmcbt0d8dYvk1YAKcjUVERIiLi4tyNxz1h+GNGzckb968GncgoowTHBwsHTt2FBMTE2X838uXL2Xz5s1SvHhxKVGihHh6eiqzGnxt36o/RWq/NGzatEm8vLykQYMGcvbsWRFJSoJ//PFHMTIyktq1a2tME8UPtvdTt29ERITG+P/Xr1/LqlWrxM7OTrp3766xTlxcHGd7+A9Wrlwp3377rbRo0UK5Wci9e/eUqaI6deqkXAyXfGy7uneNNCU/7y1btkzs7Ozk5MmTEhYWJocPH5a6detKnTp1lLsYXrx4USpUqCDly5eXyMhIERGlZ5JS9+643cOHD0upUqWUNt27d6+Ym5tL7ty5pXDhwhpJ8IoVK0RfX19Gjx6d4XGnFSbA2Yj6Q0+dOL148UJKlSolPj4+IpL0Aaeu8/3330vTpk055CGTBAcHS7t27TSSYJGk1+7Ro0fZelaD5B9sr1+/Vm67K5KUBHt6emokwZGRkdK5c2fx9PSUOXPmKHV57KZO3S779++Xhg0bSs2aNaVFixbKzBmhoaGyatUqsbe3l549e2ZmqNlC8vfo0qVLpW7dutKyZUsluQgJCZEtW7ZIlSpVxMDAQPLkyZPiwlf619atW5X/q9v2xx9/lDZt2mjUO3XqlJQvX15+/vlnEUn6Quzv7y+urq7i4eHBL3MfMXToUI1f3ESSptxU3x9g//79YmNjI0uWLJGnT59Krly5pGrVqsqF3LGxsbJ69WpRqVQyYcKETNmH/4oJcDaR/EPvp59+ksePH4uIyOLFi0WlUinT76g1atRIBg4cmOFx0r+SJ8Gpze+bHXt+kxs/fryUKVNGqlevLiNGjFDKN2/eLN99912KnuDOnTtLpUqVZPLkyV/lz20ZaefOnWJqaire3t6yYMECqVatmhQoUEBJykJDQ2XNmjWip6enJBD0ZdTn3qNHj8rPP/8sxYsXF11dXWnVqpX8888/GnXGjh0r5ubmYm1tnWLmHUrqRXd2dk6RUP3000/SqFEjEUk6L6rbc8GCBWJubq4xa9Hly5fF3t7+vXPTUpKNGzeKu7u7tGvXTk6fPq2UBwQESExMjNSqVUu5rXxoaKh4eHiISqXSmJ4zNjZW1q9frzH2/WvCBDgb2b59u5iZmcmgQYM07h0/bNgwUalUMnjwYJkyZYr8/PPPYmZmpjH1FKWd5FPPqb0vmVUnwaampkqyl11/2k/eBosXL5acOXPKjBkzpFevXuLg4CDff/+9snzz5s3i5eUlHh4ecvXqVRFJGj/dokUL8fT05BzVH3Dz5k0pXbq0LFy4UESS7jSWN29esbKyEjs7OyUpCwkJkQ0bNnD8aRo4ePCgqFQqmT17tuzatUuGDRsmJUqU0OgJVjt58iTHWb9HUFCQDBw4UCpWrCjjx49XylesWCEqlUoOHz6sUX/79u1SoUKFFF8mrl27pgxDoZTU5+Ldu3dLlSpVpH379srnj4jI06dPpVChQrJz504RSfoVrkOHDnLz5s1s1THDBDibuH37tuTNm1cWLFiQ6vIVK1ZI1apVxc3NTby8vMTf3z+DI9QOyU8OoaGhyqThHxIUFCQdOnQQMzMzrUhGjhw5IsuXL1dOrm/fvpUdO3aIhYWFxm2gV69eLT///LNGm0ZFRcmzZ88yPOasTv1lKyYmRu7fvy/9+/eX+Ph4CQgIkEKFCkm3bt3kxo0bUrhwYXFxcVF6bDiM5L9JTEyUhIQE6datm8YNRUSShkO4urpKq1at5MGDB5kT4FdE/T5/8eKFDBgwQNzd3WXs2LHK8s6dO4u5ubns2LFD7t27J69evZLatWtLvXr1eBx/huTn04sXL0rnzp3F3t5emjdvLhcuXFCWlSxZUjw8PGT16tXy7bffSvny5ZV1s0snDRPgbOLvv/+W4sWLy5MnT947c0BYWBgvdElHyU/CU6ZMkapVq0rJkiWlVq1acvnyZWVsdmqePn0qlSpVkr59+2brk/mFCxdEX19fjI2NZffu3Up5TEyM7NixQ6ysrFIkEiJJJ+3s1POQHrZu3SqtWrWSxMREpffrhx9+kBYtWihDRpo0aSIqlUoKFCggMTEx2fpYy0i9e/fWuHBVrX///mJkZCReXl5f5Y0CMtqHkuDExETp3bu3mJiYSJ48ecTV1VXKlCmTrS8WTk/9+/eXb775Rvr27Svff/+9mJqayvfff68Mx7tx44aUK1dO6TTLju2s8/GZgulrEBERgdu3byMiIgIqlQoiotwk4NSpUwgICIC5uTn09PRgYmKSydFmT+obMYwePRpz5sxB165dsWHDBvzzzz/o3r07Xr58+d51HR0dYWlpicTERIhIRoWc4fLly4c5c+bAxMQEu3fvVsoNDAxQv359rFq1Cps3b4aPj4/Gejo6OikmwtdW6hstvHnzRim7c+cOxo0bh1q1agEAChQogLdv3+L27duoVq0aDAwMAAAODg7YtWsXTp48CQMDA948JI3kz58f9+7dw7Vr1zTKy5Yti0KFCsHa2po3FXkP9fEM/HvzkJw5c2L48OHw8PDA3r17MWHCBKhUKixYsAB79+7F4sWLMWXKFPj5+UFfXx/x8fE8P3yGM2fO4LfffsO6deswb948bNq0CStWrMCNGzcwa9Ys+Pv7w9XVFX5+fti9ezf27duXPds5szNw+jzv+/Z1584dKV26tAwdOlSePHkiIv/2SHbq1EkGDx6crb65ZVWPHz8WNzc32bNnj4iIHDhwQMzNzWXJkiUa9ZK/FgkJCfLixQupVKmSMt41O3jf8fbixQvl4pXBgwdrLIuJiZETJ05ky9kv0oK6Tc+fPy/ffPONREREiL+/v3h7e0vHjh0lNjZWo+3q168vrq6ucvToUenbt684OTlx/Ol/oD6n3rx5Uy5fvixXrlxRlpUvX16KFSsmfn5+yjRcQ4cOFW9vb45Zf4/k54ijR4/K2rVr5ejRo/L06VMRSbo1dP/+/aVChQoawyGSyy4/x2ckPz8/cXBwED8/P43y3377TXR0dKR169Zy9OhRjWXZMX9gAvyVOHTokDJ04X0H4rhx48TFxUUGDBgg58+fl+vXr8uQIUPExsaGF7xlkGvXrknevHlFJGkORVNTU2Ue5vDwcOX/qYmKisqQGDNC8mN0165dsnz5clmxYoUyOf3Lly9l4cKFYmNjI0OGDEl1G0yCNanb1N/fX8zMzKRfv34iItK4cWMxMTERNzc3pa667c6fPy9VqlQRJycnKVq0qMbFsfRltm7dKnZ2duLk5CQFChSQKVOmiEjSWPYKFSqIs7OzlC9fXmrXri0GBgY8975H8uE3Q4cOFWdnZylYsKB4eHhIw4YNlYs1AwMDZcCAAeLh4ZHiCzN9mQsXLoi9vb1yHYZ6eEN8fLwUKVJE7OzsNC5CzK6YAH8FTp48KS4uLtK3b18lSXq3B1Ft+vTpUqVKFVGpVFKsWDEpXLgwP/TSSWrjJ+Pi4qRy5cry448/ipmZmSxdulRZduPGDfHw8EjxzfpD2/saJT8ehw0bJs7OzlK6dGlxd3eXkiVLSnBwsIj8mwTb2dlJjx49Mivcr4K6TS9fviw5cuTQmDYuOjpaWrZsKQULFpQ5c+ak+IIcFxcnt27dYi/kf6B+b7569UqKFCkiq1atkqNHj8qUKVNEX19fRo0apdRdtGiRjBw5UoYMGfLVTg+VkWbMmCG5c+dW5kMfOXKkGBoaaswAExgYKJ07d5bu3btnm/NkRvhQ73i3bt3E2tpaIz9Q36RpzZo12bLH911MgL8CUVFR4uPjIx4eHtKvXz/l57X3JcEvX74UX19fuXz5sgQFBWV4vNogeXtHREQoPZvR0dEycOBAsbS0lC5duih13r59K/Xr15d69eppxYlFRGT27NliZ2cn586dExGRJUuWiEqlkkKFCklAQICIJB2r06dPl7p16/KD7SMeP34sOXPm1JgpQyRptowOHTpIkyZNpEqVKrJixQplGX8eTjuHDx+W4cOHS58+fZSLCiMiImTBggWiq6ur8aVEJPt8oU1Pz549kzp16siGDRtEJOlXMzMzM+ndu7e4u7tL5cqVlZ7gV69eKedOtu3HJf+c2bBhg4wcOVImTpwoJ0+eFJGk4WZNmzaVHDlyyLhx42T27NlSq1YtqVq16nsvpM9umABnccl/Bh4/frzUrFlTBg0apCRcyQ9ynhQy3vjx4+W7776TkiVLypYtWyQxMVECAgKkQYMGUrp0aenYsaOMGDFCqlevLiVKlMiWV9KqnTx5UmbOnCkzZ86UrVu3ytChQ5W7Ou3atUvMzc1l/PjxUq5cOSlSpIgyzi8sLCzVuZNJ04MHD6R8+fLSqFEjpbds8uTJkiNHDrl8+bK8fPlSmjdvLlWrVpVVq1ZlbrDZTExMjIwcOVJ0dXU1hpqI/JsEGxkZyaBBg5RyHsspqc97yc9/x48fl4cPH8r58+clT548smjRIhERGTFihDJjyZ07d1Jsg94v+dj0wYMHi52dnbRp00bKlSsn1apV0xiKN3LkSKlcubKUKVNGGjZsqHxGacPxywQ4i1MfhOfOnZPhw4dL4cKFxczMTIYOHZrqcAhKX8nbes6cOWJraysTJkyQ1q1bi76+vowbN07i4uLk8ePHMnv2bKlUqZK0bNlSBg0apHyZyY5jW5ctWya2trZStmxZMTMzk2LFiskPP/wgERERcvHiRcmfP7/ywTZ//nxRqVRiYWGh8QuFNpxw/6vbt29LnTp1pFGjRtK9e3exs7OTAwcOKMufP38urVq1khIlSsj69eszMdLsIfkx+fDhQxk3bpyoVCrlWFZ78+aNzJgxQ2xsbOTFixc8llPx22+/SefOneXWrVupTsU5adIkadasmURHR4uIyK+//ir169eX8ePHZ/ueyLR0+/ZtUalUcuzYMdm8ebPky5dP+RVu9erVoqenJ6VKlVJueSySdFOcyMhI5bjNjp9RqWECnMWkduLcvXu36OrqyqRJk2Tx4sXSoEEDKVq0qPTv359JcCb5559/ZMiQIbJ//36lbNasWWJmZiZjx46ViIiIVNfLjifyZcuWiYGBgWzevFmioqLkyJEjUqNGDalataqEhobKggULpF69ehIeHi4iIps2bZKuXbvKoEGDsmV7pLdbt27Jd999J8bGxjJz5kylXP2h9fTpU+nYsaM8fPgws0L86r0vEXj8+LGMGDFCTE1NU8zsEhkZKSEhIRkW49ckLCxMChQoILa2tlKiRAnp2rWrrF69WqPOoEGDpFChQsqNbpo2bSpTp05VlvNc8WnCw8PFy8tLOnToIIMGDZKJEyeKiMiOHTvE0tJSJkyYIM2bN5d8+fLJ/PnzU6yvTbkEE+AsRv3mT0xMlPj4eImKipJGjRopV3yLJF2xOXLkSHFxcZGhQ4emOhyC0kdiYqIcOnRIVCqV2NjYaNzMQSRp3Ku5ublMmDBBmY4uOzt27JioVCoZN26ciPybOEybNk0cHBzk1atXMmbMGMmZM6ckJibKmzdvpHHjxhrjJfnB9vnu3r0rtWvXlrp16ypj+kQ0r+amL6M+ho8cOSI//PCDtG3bVoYNG6YsDwgIkJEjR4qZmZksW7Yss8L8qsTHx4u3t7csWbJELly4IDNmzBBLS0tp27atTJo0SWJjY2Xv3r3i5eUlefLkkZIlS4qLi4vyBYQ96p9n0qRJYm9vr/S237p1S1xcXJRe3xMnToiFhYXkz59f1q1bl8nRZp5sNKPx12/btm2oXLkyfH19oVKpoKurC2NjYyQkJCA0NFSpp6+vj/HjxyNfvnxYsWIFfv75Z0RFRWWvCaqzKJVKBU9PT4wbNw4hISE4f/68xg0J+vfvj4kTJ8LHxwcHDx7MxEgzRu7cuVGlShVcvHgRJ06c0LixgrGxMRITE9G+fXvY2trCysoKFSpUUG7aoKa+YQt9ugIFCmDBggUQEUycOBGnTp0CkHRuANimX0pEoFKp8Pvvv6Np06bQ19eHk5MTNm/ejMaNGyMhIQF58uRBz549MWDAAPTo0QOrV6/O7LCzPF1dXVStWhVDhgyBnp4eBg8ejOfPn6NAgQIYNWoUqlWrhmvXrqF69eoYMWIEWrRogWvXrkFPTw8JCQm8YcsHyP9vnCRJHZoAgOHDh8PGxgazZs2CiYkJrly5AkNDQ7Rr1w4A8PbtW9SoUQP9+/dH27ZtMy32TJep6TdpOHDggDRs2FDKly+vjNmJjY2V3r17S9WqVeXp06cpbrdbqFAhadq0qTx//jyzws7WPtSrPnz4cNHT05Nly5YpM3OobdmyRWvGUanHpdauXVtu374tR44cEUNDQ9m+fbuIJP2MfP/+fZk1a5YsXLhQaRf2Uv53t2/flgYNGkjFihXlzJkzmR3OVye1i7L8/f2lcOHCyjjfBw8eSK5cuUSlUkmVKlWU4/fhw4cyceJEZZYC+rhevXpJr169lMdFixaVJk2ayIABA6RBgwaiUqmUuWlFeI74FK9fv9Z4HBcXp/S4u7u7y+vXr2X79u1SoEAB+e233yQkJEQaNmwogwcP1prZHt6HCXAW89dff0mTJk2kTJkyygfa48ePxcbGRlq0aCGPHz9W6g4YMEAmTJggL1++zKxws7XkH4oHDhyQ3377Tf7880+NZHfw4MGir6+fahIsoj0XE9y+fVvq1q0rZcuWFX19feUCLPVP8u/S1hNuerh586a0aNGCd3j7TOr394MHD+TXX39VOh327t0rAwYMEJGkc+8333wj3bt3lyNHjoipqak0adJEOa615f2dVpYvXy6VK1eWkJAQKVOmjFSuXFnCwsJEJGloycaNG9mmn2Hfvn3i5uYmCxYsSDHl6d27dyVHjhwyb948iYiIkIYNG0qePHkkT548Urp0aa2a7eF9mABnEckPwmPHjknTpk2lTJkyynRHly5dkpw5c0rFihWlUaNG0qpVKzEyMpLbt29nVsjZWvLXY/jw4eLg4CDly5cXIyMj6dSpk5w+fVpZPmTIEDEyMpI5c+YoVzBro9u3b0vNmjWlePHicvbsWaVcm0+wGUU9Ly19GnXye+XKFSlcuLA0bdpUYzy/v7+/JCYmSpMmTaRdu3bK+PVy5cqJSqWS2rVrZ1boX73y5cuLSqWS6tWrv/fmLEyCP821a9eka9euYmRkJOXLl5devXrJ8+fPlYuwhw4dKhUrVpTIyEi5f/++HDlyRDZv3qx0QGh7OzMBzqKOHDkijRs3ljJlyijJ1pMnT8Tb21vatm0rHTt2VO6SQ+lHfZciX19fERGZO3euqFQqad68uUYS3KNHD6lWrZrWJ3t37tyROnXqSJ06dZQvb0RZ0c2bN8XKykqGDx+uzEmdXGhoqJQqVUp+//13EUm6yU23bt1kz549cv/+/QyO9uunPjeuW7dOihcvLufPn9copy9369Yt8fb2FhcXF8mTJ4906dJFLl68KAcOHBB7e3s5fvx4inX4KxwT4EynfvP/888/4ufnJ4cPH1aW/f3339KoUSONnmD1N7b3/bRMaSc4OFg6d+4sa9asERGRbdu2iaWlpQwdOlRsbW2lXr16Gkkeb+aQ5Pbt21K/fn0pV66cXL58ObPDIUrh7du30rJlS+ndu7dGeWxsrDx58kRu374tkZGR4ubmJk2aNJEHDx7I4MGDpXDhwrze4j968uSJ5MqVS6ZMmZLZoWQr8fHxEh0dLRMmTBBPT0/R0dGRn3/+WRm7rp4ylf7FBDgTqROlrVu3Sp48eeSbb74RMzMzqVq1qvIT8t9//y2NGzeWChUqaEx3pO1JVnp494K3mJgYOXTokISEhCg3c5gzZ46IiCxevFiMjIykdu3a4u/vLyJJrwlflyQ3btyQgQMHcmo+ypLi4uKkatWqGvOg7t+/X/r37y/m5uaSL18+qV27tuzYsUMKFCgguXPnFicnJ7l48WImRp19zJs3T2xsbOT69euZHUq2kfyzJzo6WrZs2SJNmjQRQ0NDjdsb079UIv+fN4MyxdmzZ+Hl5YW5c+fC3d0denp6aN26NQDg119/Rbly5XDs2DFMnDgRCQkJ2L9/P4yMjDI56uwnMTFRmUZuy5YtyJs3L9zd3REfHw99fX1Mnz4dhw8fxrZt22Bubo4FCxbgwIEDMDMzw/r16zkF3Qckb1uirCA8PBzu7u6oWrUqBg0ahB07dmDNmjUoXrw4qlWrBlNTU8ycORNeXl7w9vbGnTt3UKBAATg4OGR26NnCvXv3MH78eKxatYrnhjQk/5/GTy0sLAzPnz9HoUKFoKury3PxO/QyOwBt8e6BqX586dIlFC1aFG3atIG+vj50dHRw+vRpuLu7Y/jw4Th8+DBq1KgBfX195M+fn8lvOhAR5aQwbNgwrF+/Ht7e3ihSpAgsLS0BAC9evMDbt28REhICY2NjHDp0CN9//z3at28PgEneh7BdKKsxNzfHwoUL4eXlhYMHDyIkJAQzZsxArVq1ULBgQcTGxmLTpk0ICQmBnZ0d7OzsMjvkbKVAgQJYvXo1VCoVEhISOG91Gnl3vmQLCwtYWFgAANs5FUyAM4A6OXrx4gUePXoElUoFNzc3AEBgYCDCwsJgaGgIIGmCamNjY6xatQo1atTAuXPnUKFCBVSpUiUzdyFbU580Fi1ahNWrV2Pfvn0oWrSoxpeNRo0aYcmSJWjUqBGioqJgbGys9NQnT6CJ6OtQs2ZN3L9/H8HBwciXLx9y5sypLNPT04OFhQXy5s2r3FyAN2NIW+r2ZFKWMdjOKTEBTmfq5PfGjRvo0aMHzMzMkCNHDmzevBl6enpo1qwZfvnlF/zyyy8YNGgQjI2NAQBxcXHImTOn0gNJaU/dC6/+9+zZs2jXrh3Kli2LxMREAP++flWrVsXhw4dx8uRJAEl3fFPfpYgnFqKvk5OTE5ycnDTKYmNjMWHCBJw+fRqTJ09m4kuUTTEBTkfqnsHr16+jSpUq6NWrF3788UfkyZMHOjo6EBEUKlQIQ4cOxaJFiyAiGDx4MMLDw7Fnzx7o6ekxAU4nyYek+Pv7o0yZMrh48SI8PT0BQHl9dHR0EBMTg3v37sHd3R3u7u7KNpj8EmUv69evh5+fHzZv3ox9+/ahUKFCmR0SEaUTJsDpSKVSISQkBD179kTHjh0xadIkZZm6ZzFHjhzo1KkTdHV1MXbsWCxcuBAWFhZ4/vw59u3bx7Fn6SB58jtixAjs3bsXf/31Fxo2bIj9+/fj0qVLKFOmjFLn7t27mD59OkaPHo2CBQsq22HyS5R93Lp1CytWrICVlRWOHTsGV1fXzA6JiNIRZ4FIZzdu3ECjRo2wcuVKVKlSJcVYUXUyFhcXh/v37+PAgQOws7ODu7s7nJ2dMylq7XDu3DmMGTMGY8aMQcWKFXHgwAGMGTMGRYoUQd++feHm5oagoCD06NEDoaGhOHbsGMf6EmVjwcHBMDQ0VC4cIqLsiz3A6czf3x+PHj1C1apVoVKpUswWoFKpEBUVhWvXrqFChQpwcXHJxGi1x7p167B9+3aoVCqULl0aAODl5YWXL19i9erVqFOnDhwcHCAi0NfXx7lz56Cjo8PZHoiyMf7iRqQ9mACns/z580NPTw87duxA8+bNU02eVq5ciT///BO7d++GgYFBJkSpfQICAuDn54fExEQEBAQoY/3UF8HduXMH165dQ758+dC6dWvo6uoiPj4eenp8yxAREX3tOAQinT19+hRly5ZFxYoVMW/ePOTLlw+A5jjUwYMHQ19fn1ccp5N352BWW7p0KaZPn45vv/0W3t7eKFCgwHvr84I3IiKi7IO/5aaz3LlzY/HixThw4ABGjx6NGzduAPh36MOIESOwbds2dO7cmclvOkhMTFTaNTg4GE+fPkVcXBwAoEePHujduzcuXryIefPm4cGDB+/dDpNfIiKi7IM9wBkgMTERy5YtQ58+fVCwYEF4eHjAyMgIT58+xdmzZ7F//36UKVMms8PMdpKP1x03bhwOHTqEy5cvo23btqhduzaaN28OAPjll1+wceNGVKtWDb169eLUR0RERNkce4AzgI6ODn788UecOnUKxYsXx6VLl3Dt2jW4urri77//ZvKbTtTJr4+PDxYuXIh+/fphx44duHHjBqZMmYJVq1YBAAYNGoT27dtj69at2LNnT2aGTERERBmAPcAZjGNJM9axY8fQt29fLF26FJUqVcLJkyfx3XffoUyZMoiNjcXAgQPRrl07AMCmTZvQsmVLvj5ERETZHBPgDJb8Aqv3XZxFX+7dacoePXqELVu2YNCgQTh06BDatWuHGTNmoGrVqqhRowasra3RrVs39O3bV1mHX1KIiIiyNw6ByGDJE14mv2lPnfxGRUUBAPLkyYOePXsiPj4eCxcuRJ8+fdCxY0cULFgQJUqUQFxcHO7evYvk3wOZ/BIREWVvTIApW0hMTFT+v2XLFuTPnx/BwcHQ1dWFmZkZEhIS8ODBA+jr60NXVxdRUVGwsrLCmDFjMGfOHKhUKvDHECIiIu3ABJi+esmHPWzZsgUPHz7Ey5cv0aBBAwQHBwMAIiMjUbRoUfz999/w8fFBkyZNcOfOHbRs2VK5Qx975ImIiLQDE2D66qmT36FDh2LIkCFQqVTo1q0bXr16hapVqyIoKAg5c+ZEz549YWFhgQMHDiBHjhw4deoUb29MRESkhXgRHGUL169fR+3atbF06VLUr18fAHDp0iX8+OOPCA0NxcmTJ2Fvb4/w8HAYGhrCwMAAKpWKtzcmIiLSQuz2omwhPDwcYWFhKFiwoFJWqlQpzJo1C8+fP0f9+vXx6tUrmJubQ09PTxn2wOSXiIhI+zABpq9afHw8AKBMmTLImzcv1q1bpyzT0dFBiRIlUKxYMdy/fx9VqlRBbGysMssDhz0QERFpJ2YA9NWaPHkyJk6ciKioKOjr66Nhw4Y4fvw4lixZotTR0dFBvnz5sG7dOujq6mLatGmZGDERERFlBUyA6aulr6+P8ePHY8GCBdDV1cXgwYPxzTffYNmyZWjRogXmz5+PunXr4unTp6hZsyasrKzw9OnTzA6biIiIMhkHQNJXIbWZGoYMGQITExP06dMHCQkJ8Pb2xqxZs7B9+3Zs3LgRmzZtgoODAzZs2AAjIyNYWVnB3t5eme+X054RERFpJ84CQV+VGzduoGjRohplCxYsQL9+/TBp0iR4e3sr5dHR0TAyMgIADBs2DKtWrcKpU6dQqFChDI2ZiIiIshYOgaAsLSYmRvn/0aNHUbx4cWzYsEGjTp8+fTBt2jSMGTMGCxcuRHh4OADAyMgIV69eRZcuXbB161YcOHCAyS8RERGxB5iyroMHD+Ly5cuoXr06KlSoACBp2MPChQuxfPlytG3bVqn7zz//wN3dHREREVi3bh3atWunLNu/fz9cXV2RL1++DN8HIiIiyno4BpiypFWrVmH06NFo1KgRvv32f+3dXUiU2x7H8d9MZ7Zmo4WlppVjapBEVkKQRShIZBZEKQWlUxHURWIFUQQWqCn0AiZRIhRKEtlFQW8XRkiZo0VhJmSURe9Jo2WkmUTjcy7Oadhzqq0799Gx+X5AmGct15r/zNWPh/8zK9k9fvDgQZnNZq1fv16S3CHYz89P2dnZmj17tlasWCFJMgxDJpNJqampQ10+AADwYgRgeJ2qqiplZ2ervLxcqampCgoK8pjfv3+/XC6XsrKy1NraqhkzZujkyZMyDEOFhYWSxAlvAADgp2iBgFdpb2/XqlWrlJGRoS1btrjHu7u71dLSIpfLpcTEREnSgQMHdOTIEVmtVoWGhurq1auyWCzDVToAABghuEUGr+N0OjVp0iT3dWlpqWpqanT27FmFh4crOjpatbW12rlzp1avXi2LxaKJEyfKbDZz5xcAAPSLX4GA1/n48aMuX76smpoaZWRkqLS0VCEhIaqurlZJSYnevHmjgoICSVJkZKQiIiJkNpvV19dH+AUAAP0iLcCrhISEqKKiQunp6aqpqVFgYKAOHz6sWbNmafz48ers7FRQUJD6+vokeR5m8b8HZQAAAPwIARheJyUlRa2treru7tbUqVO/mw8MDFRERMQwVAYAAH4HPASHEaO9vV0bNmxQR0eHHA6HRo0aNdwlAQCAEYg7wPB6HR0dOn78uOrq6uR0Ot3h1+VyEYIBAMDfRtMkvN6rV6/kcDgUGxur+vp6WSwWff36lfALAAB+CS0QGBE+fPigsWPHymQycecXAAAMCgEYI8q3440BAAB+FS0QGFEIvwAAYLAIwAAAAPApBGAAAAD4FAIwAAAAfAoBGAAAAD6FAAwAAACfQgAGgCGQnJysbdu2DXcZAADxO8AAMCTev38vi8WiwMBARUVFadu2bQRiABgm/xruAgDAFwQHBw93CQCA/6IFAgCGwLcWiOTkZD1//lzbt2+XyWTyONylrq5OCxcu1OjRozVlyhTl5OTo06dP7vmoqCjt27dPdrtdVqtVNptNFy5cUHt7u5YvXy6r1ar4+HjduXNnQDVVVFRo3Lhxqq6uVlxcnKxWq1JTU9XW1ub+n9u3b2vRokWaMGGCxo4dq6SkJDU2NnrsYzKZVFZWpmXLlikgIEBxcXFqaGjQ48ePlZycrDFjxmj+/Pl68uSJx7rz588rISFB/v7+io6OVl5enr5+/forXy8A/C0EYAAYQufOndPkyZOVn5+vtrY2d9h88uSJUlNTlZ6erubmZp05c0Z1dXXKzs72WF9cXKwFCxbo7t27Wrp0qbKysmS325WZmanGxkbFxMTIbrdroN1tPT09OnTokCorK1VbW6sXL15ox44d7vmuri6tW7dOdXV1unnzpqZNm6a0tDR1dXV57FNQUCC73a6mpiZNnz5da9as0ebNm7V7927duXNHhmF4fJYbN27Ibrdr69atamlpUVlZmSoqKlRYWPirXy0ADJwBAPi/S0pKMrZu3WoYhmHYbDajuLjYY37jxo3Gpk2bPMZu3LhhmM1m4/Pnz+51mZmZ7vm2tjZDkrFnzx73WENDgyHJaGtr67em8vJyQ5Lx+PFj99jRo0eNsLCwn65xuVxGYGCgcfHiRfeYJCM3N/e7Gk6cOOEeO336tOHv7+++TklJMYqKijz2rqysNMLDw/utGwAGix5gAPAC9+7dU3Nzs06dOuUeMwxDfX19evr0qeLi4iRJ8fHx7vmwsDBJ0syZM78bczqdmjhxYr/vGxAQoJiYGPd1eHi4nE6n+/rt27fKzc3VtWvX5HQ65XK51NPToxcvXnjsM5C6ent79fHjRwUFBenevXtyOBwed3xdLpd6e3vV09OjgICAfmsHgF9FAAYAL9Dd3a3NmzcrJyfnu7nIyEj3a4vF4n79rX/4R2N9fX0Det8/r/223vhT+8S6dev07t07lZSUyGazyc/PT4mJifry5ctP9xlIXd3d3crLy9PKlSu/q8nf339AtQPAryIAA8AQ++OPP+RyuTzGEhIS1NLSotjY2GGq6sccDoeOHTumtLQ0SdLLly/V0dEx6H0TEhL08OFDr/u8AHwDD8EBwBCLiopSbW2tXr9+7Q6Tu3btUn19vbKzs9XU1KTW1ladP3/+u4fghtq0adNUWVmpBw8e6NatW1q7dq1Gjx496H337t2rkydPKi8vT/fv39eDBw9UVVWl3Nzcf6BqAPhrBGAAGGL5+fl69uyZYmJiFBISIuk/PbTXr1/Xo0ePtHDhQs2ZM0d79+5VRETEsNZ64sQJdXZ2KiEhQVlZWcrJyVFoaOig9128eLEuXbqkK1euaO7cuZo3b56Ki4tls9n+gaoB4K9xEhwAAAB8CneAAQAA4FMIwADwm1qyZImsVusP/4qKioa7PAAYNrRAAMBv6vXr1/r8+fMP54KDgxUcHDzEFQGAdyAAAwAAwKfQAgEAAACfQgAGAACATyEAAwAAwKcQgAEAAOBTCMAAAADwKQRgAAAA+BQCMAAAAHwKARgAAAA+5d8NUCCfXGwnNgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# top performing items\n",
    "items_quantity = df.groupby('item_name')['quantity'].sum().reset_index().sort_values('quantity', ascending=False)\n",
    "\n",
    "plt.figure(figsize=(8,3))\n",
    "ax = sns.barplot(items_quantity, x='item_name', y='quantity', palette='RdYlGn')\n",
    "ax.bar_label(ax.containers[0], label_type='center')\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('Total number of items sold by item name')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "0acb58b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:03.048646Z",
     "iopub.status.busy": "2024-06-23T11:35:03.048237Z",
     "iopub.status.idle": "2024-06-23T11:35:03.076523Z",
     "shell.execute_reply": "2024-06-23T11:35:03.075001Z"
    },
    "papermill": {
     "duration": 0.042983,
     "end_time": "2024-06-23T11:35:03.079476",
     "exception": false,
     "start_time": "2024-06-23T11:35:03.036493",
     "status": "completed"
    },
    "tags": []
   },
   "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>time_of_sale</th>\n",
       "      <th>Afternoon</th>\n",
       "      <th>Evening</th>\n",
       "      <th>Midnight</th>\n",
       "      <th>Morning</th>\n",
       "      <th>Night</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>item_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aalopuri</th>\n",
       "      <td>29</td>\n",
       "      <td>19</td>\n",
       "      <td>33</td>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cold coffee</th>\n",
       "      <td>34</td>\n",
       "      <td>30</td>\n",
       "      <td>26</td>\n",
       "      <td>32</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frankie</th>\n",
       "      <td>31</td>\n",
       "      <td>29</td>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Panipuri</th>\n",
       "      <td>28</td>\n",
       "      <td>36</td>\n",
       "      <td>31</td>\n",
       "      <td>29</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sandwich</th>\n",
       "      <td>19</td>\n",
       "      <td>29</td>\n",
       "      <td>26</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sugarcane juice</th>\n",
       "      <td>41</td>\n",
       "      <td>32</td>\n",
       "      <td>28</td>\n",
       "      <td>25</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vadapav</th>\n",
       "      <td>23</td>\n",
       "      <td>26</td>\n",
       "      <td>33</td>\n",
       "      <td>29</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "time_of_sale     Afternoon  Evening  Midnight  Morning  Night\n",
       "item_name                                                    \n",
       "Aalopuri                29       19        33       27     26\n",
       "Cold coffee             34       30        26       32     39\n",
       "Frankie                 31       29        22       23     34\n",
       "Panipuri                28       36        31       29     26\n",
       "Sandwich                19       29        26       25     30\n",
       "Sugarcane juice         41       32        28       25     27\n",
       "Vadapav                 23       26        33       29     23"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(df, columns='time_of_sale', index='item_name', values='order_id', aggfunc='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0a44020e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:03.103956Z",
     "iopub.status.busy": "2024-06-23T11:35:03.102834Z",
     "iopub.status.idle": "2024-06-23T11:35:04.188938Z",
     "shell.execute_reply": "2024-06-23T11:35:04.187614Z"
    },
    "papermill": {
     "duration": 1.101221,
     "end_time": "2024-06-23T11:35:04.191728",
     "exception": false,
     "start_time": "2024-06-23T11:35:03.090507",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "items_by_time = df.groupby(['item_name', 'time_of_sale'])['order_id'].count().reset_index()\n",
    "\n",
    "plt.figure(figsize=(10,3))\n",
    "order = ['Morning', 'Afternoon', 'Evening', 'Night', 'Midnight']\n",
    "sns.barplot(items_by_time, x='item_name', y='order_id', hue='time_of_sale',palette='RdYlGn',hue_order=order)\n",
    "plt.title('Number of items sold by item and time of sale')\n",
    "plt.legend(loc='best', bbox_to_anchor=(1, 0.5))\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(10,3))\n",
    "order = ['Morning', 'Afternoon', 'Evening', 'Night', 'Midnight']\n",
    "sns.barplot(items_by_time, x='time_of_sale', y='order_id', hue='item_name',palette='RdYlGn', order=order)\n",
    "plt.title('Number of items sold by item and time of sale')\n",
    "plt.legend(loc='best', bbox_to_anchor=(1, 0.5))\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "237200fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:04.217988Z",
     "iopub.status.busy": "2024-06-23T11:35:04.217584Z",
     "iopub.status.idle": "2024-06-23T11:35:04.584931Z",
     "shell.execute_reply": "2024-06-23T11:35:04.582997Z"
    },
    "papermill": {
     "duration": 0.384635,
     "end_time": "2024-06-23T11:35:04.588667",
     "exception": false,
     "start_time": "2024-06-23T11:35:04.204032",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(df, x='time_of_sale', palette='RdYlGn')\n",
    "plt.title('Transaction Time Distribution')\n",
    "\n",
    "ax.bar_label(ax.containers[0],label_type='center')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e6b608c7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:04.618874Z",
     "iopub.status.busy": "2024-06-23T11:35:04.618475Z",
     "iopub.status.idle": "2024-06-23T11:35:04.927454Z",
     "shell.execute_reply": "2024-06-23T11:35:04.926088Z"
    },
    "papermill": {
     "duration": 0.326237,
     "end_time": "2024-06-23T11:35:04.930415",
     "exception": false,
     "start_time": "2024-06-23T11:35:04.604178",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "avg_transaction_timeofsale = df.groupby('time_of_sale')['transaction_amount'].mean().sort_values(ascending=False).reset_index()\n",
    "ax = sns.barplot(avg_transaction_timeofsale, x='time_of_sale', y='transaction_amount',palette='RdYlGn')\n",
    "plt.title('Average transaction amount by the time of sale')\n",
    "\n",
    "ax.bar_label(ax.containers[0],label_type='center',fmt='%.1f')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "040f321b",
   "metadata": {
    "papermill": {
     "duration": 0.012779,
     "end_time": "2024-06-23T11:35:04.956947",
     "exception": false,
     "start_time": "2024-06-23T11:35:04.944168",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "* Most expensive item on the menu is sandwich and its price is 60. Least expensive item on the menu is vadapav, aalopuri and panipuri and their price is 20.\n",
    "* High performing products are cold coffee, sugarcane juice and panipuri. Low performing products are vadapav, aalopuri and sandwich.\n",
    "* Cold coffee sales peak at night and drop the lowest at midnight.\n",
    "* Time of sale analysis;\n",
    "    * Most selling items in the morning are cold coffee, panipuri and vadapav. \n",
    "    * Most selling items in the afternoon are sugarcane juice, cold coffee and frankie. \n",
    "    * Most selling items in the evening are panipuri, sugarcane juice and cold coffee. \n",
    "    * Most selling items at night are cold coffee, frankie and sandwich. \n",
    "    * Most selling items at midnight are aalopuri, vadapav and panipuri. \n",
    "    * The average transaction amount was higher at night compared than the other times of sale whilst at midnight it was lowest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "be1e25f5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:04.985508Z",
     "iopub.status.busy": "2024-06-23T11:35:04.985098Z",
     "iopub.status.idle": "2024-06-23T11:35:04.998161Z",
     "shell.execute_reply": "2024-06-23T11:35:04.996842Z"
    },
    "papermill": {
     "duration": 0.030228,
     "end_time": "2024-06-23T11:35:05.000519",
     "exception": false,
     "start_time": "2024-06-23T11:35:04.970291",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time_of_sale\n",
       "Night        90\n",
       "Afternoon    90\n",
       "Evening      82\n",
       "Midnight     79\n",
       "Morning      76\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# online transactions\n",
    "online_transactions = df[df['transaction_type']=='Online']\n",
    "online_transactions['time_of_sale'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "520ae337",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:05.029371Z",
     "iopub.status.busy": "2024-06-23T11:35:05.028892Z",
     "iopub.status.idle": "2024-06-23T11:35:05.050707Z",
     "shell.execute_reply": "2024-06-23T11:35:05.049118Z"
    },
    "papermill": {
     "duration": 0.039602,
     "end_time": "2024-06-23T11:35:05.053508",
     "exception": false,
     "start_time": "2024-06-23T11:35:05.013906",
     "status": "completed"
    },
    "tags": []
   },
   "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>time_of_sale</th>\n",
       "      <th>Afternoon</th>\n",
       "      <th>Evening</th>\n",
       "      <th>Midnight</th>\n",
       "      <th>Morning</th>\n",
       "      <th>Night</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transaction_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Cash</th>\n",
       "      <td>91</td>\n",
       "      <td>103</td>\n",
       "      <td>98</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Online</th>\n",
       "      <td>90</td>\n",
       "      <td>82</td>\n",
       "      <td>79</td>\n",
       "      <td>76</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unknown</th>\n",
       "      <td>24</td>\n",
       "      <td>16</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "time_of_sale      Afternoon  Evening  Midnight  Morning  Night\n",
       "transaction_type                                              \n",
       "Cash                     91      103        98       92     92\n",
       "Online                   90       82        79       76     90\n",
       "Unknown                  24       16        22       22     23"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(df, columns='time_of_sale', index='transaction_type', values='order_id', aggfunc='count')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81249d7c",
   "metadata": {
    "papermill": {
     "duration": 0.013314,
     "end_time": "2024-06-23T11:35:05.080438",
     "exception": false,
     "start_time": "2024-06-23T11:35:05.067124",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "* There is an increase in online sales in the afternoon and at night.\n",
    "* Cash transactions increased in the evening."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "984b3d87",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:05.116522Z",
     "iopub.status.busy": "2024-06-23T11:35:05.115802Z",
     "iopub.status.idle": "2024-06-23T11:35:05.616705Z",
     "shell.execute_reply": "2024-06-23T11:35:05.615367Z"
    },
    "papermill": {
     "duration": 0.52312,
     "end_time": "2024-06-23T11:35:05.619453",
     "exception": false,
     "start_time": "2024-06-23T11:35:05.096333",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df['quantity'])\n",
    "plt.show()\n",
    "sns.histplot(df['transaction_amount'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7ef7b6b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-23T11:35:05.651116Z",
     "iopub.status.busy": "2024-06-23T11:35:05.650665Z",
     "iopub.status.idle": "2024-06-23T11:35:06.733619Z",
     "shell.execute_reply": "2024-06-23T11:35:06.731977Z"
    },
    "papermill": {
     "duration": 1.102631,
     "end_time": "2024-06-23T11:35:06.736592",
     "exception": false,
     "start_time": "2024-06-23T11:35:05.633961",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18/1648704370.py:5: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  df['month_year'] = pd.to_datetime(df['month_year'])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model evaluation:\n",
      "MAE: 1511.91\n",
      "MSE: 2906718.66\n",
      "RMSE: 1704.91\n",
      "R²: 0.32\n",
      "Model evaluation:\n",
      "MAE: 1828.61\n",
      "MSE: 5278562.67\n",
      "RMSE: 2297.51\n",
      "R²: 0.18\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
    "\n",
    "# Convert 'month_year' to datetime format\n",
    "df['month_year'] = pd.to_datetime(df['month_year'])\n",
    "\n",
    "# Group by 'month_year' and sum 'transaction_amount' for each 'item_type'\n",
    "total_transaction_per_month = df.groupby(['month_year', 'item_type'])['transaction_amount'].sum().reset_index()\n",
    "\n",
    "# Convert 'month_year' to ordinal values for regression\n",
    "total_transaction_per_month['month_year_ordinal'] = total_transaction_per_month['month_year'].apply(lambda x: x.toordinal())\n",
    "\n",
    "# Perform linear regression for each item type\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# to plot two trend lines iterate through each item type\n",
    "\n",
    "for item_type in total_transaction_per_month['item_type'].unique():\n",
    "    # Filter data for current item type\n",
    "    data = total_transaction_per_month[total_transaction_per_month['item_type'] == item_type]\n",
    "    \n",
    "    # reshape filtered data into a 2-dimensional array ((-1, 1)), which is necessary for input to the LinearRegression model\n",
    "    X = data['month_year_ordinal'].values.reshape(-1, 1)\n",
    "    y = data['transaction_amount'].values.reshape(-1, 1)\n",
    "    model = LinearRegression()\n",
    "    model.fit(X, y)\n",
    "    y_pred = model.predict(X)\n",
    "    \n",
    "    # Calculate MAE, MSE, RMSE, and R²\n",
    "    mae = mean_absolute_error(y, y_pred)\n",
    "    mse = mean_squared_error(y, y_pred)\n",
    "    rmse = np.sqrt(mse)\n",
    "    r2 = r2_score(y, y_pred)\n",
    "    \n",
    "    print(f'Model evaluation:\\nMAE: {mae:.2f}\\nMSE: {mse:.2f}\\nRMSE: {rmse:.2f}\\nR²: {r2:.2f}')\n",
    "    \n",
    "    # Plot data and trend line for current item type\n",
    "    plt.plot(data['month_year'], data['transaction_amount'], marker='o', linestyle='-', label=f'Total Transaction Amount - {item_type}')\n",
    "    plt.plot(data['month_year'], y_pred, linestyle='--', label=f'Trend Line - {item_type}')\n",
    "\n",
    "plt.xlabel('Month/Year')\n",
    "plt.ylabel('Total Transaction Amount')\n",
    "plt.title('Total Transaction Amount Over Time with Trend Line by Item Type')\n",
    "plt.legend()\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e4cd963",
   "metadata": {
    "papermill": {
     "duration": 0.016167,
     "end_time": "2024-06-23T11:35:06.769002",
     "exception": false,
     "start_time": "2024-06-23T11:35:06.752835",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Model Performance:\n",
    "\n",
    "The R² scores of 0.32 and 0.18 are relatively low, indicating that the model does not explain much of the variance in the transaction amount. This suggests that the linear relationship between the date and transaction amount might not be strong.\n",
    "The MAE, MSE, and RMSE values are quite high, which indicates significant prediction errors.\n",
    "Possible Reasons for Poor Performance:\n",
    "\n",
    "Non-Linearity: The relationship between month_year and transaction_amount may not be linear. Other patterns or trends might be present that a linear model cannot capture.\n",
    "Missing Features: Other features (e.g., seasonality, promotions, economic factors) might influence the transaction amount and are not included in the model.|"
   ]
  }
 ],
 "metadata": {
  "kaggle": {
   "accelerator": "none",
   "dataSources": [
    {
     "datasetId": 3953791,
     "sourceId": 6902974,
     "sourceType": "datasetVersion"
    }
   ],
   "dockerImageVersionId": 30732,
   "isGpuEnabled": false,
   "isInternetEnabled": true,
   "language": "python",
   "sourceType": "notebook"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.10.13"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 11.903529,
   "end_time": "2024-06-23T11:35:07.510188",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2024-06-23T11:34:55.606659",
   "version": "2.5.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}