food_delivery_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a836a9a0-5893-4477-b231-3782d655b5f7",
   "metadata": {},
   "source": [
    "# Food Delivery Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec2136d-0c84-40bf-92ea-08bd765e3ad9",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Import Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ef1841e4-c334-4c63-a40f-a54b4bdf0aa4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16f8eb00-6255-47c6-b6e5-4800534266cd",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "345c4a01-b648-4c7a-8ea1-bd8c235a5673",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel('call-center_restaurant-orders-mv0x6oRrEEfBDJzn.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d91a1652-75f1-4167-a37a-74746c8c36c5",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Exploring DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6ca19f7c-1563-4670-990f-5f4454164e0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Time customer placed order</th>\n",
       "      <th>Time order placed at restaurant</th>\n",
       "      <th>Time driver arrived at restaurant</th>\n",
       "      <th>Delivery time</th>\n",
       "      <th>Driver ID</th>\n",
       "      <th>Driver Name</th>\n",
       "      <th>Restaurant ID</th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Delivery Area</th>\n",
       "      <th>ASAP</th>\n",
       "      <th>Sub Total</th>\n",
       "      <th>Delivery fee</th>\n",
       "      <th>Service fee</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Tip</th>\n",
       "      <th>Refunded amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>02:52:12</td>\n",
       "      <td>03:00:25</td>\n",
       "      <td>03:08:09</td>\n",
       "      <td>03:35:20</td>\n",
       "      <td>9329</td>\n",
       "      <td>Christy</td>\n",
       "      <td>7263</td>\n",
       "      <td>1143515</td>\n",
       "      <td>Fremont</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$21.39</td>\n",
       "      <td>$0.43</td>\n",
       "      <td>$3.83</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$1.40</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>15:58:57</td>\n",
       "      <td>17:56:45</td>\n",
       "      <td>18:24:39</td>\n",
       "      <td>18:57:01</td>\n",
       "      <td>9175</td>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>7247</td>\n",
       "      <td>1136820</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$99.74</td>\n",
       "      <td>$6.05</td>\n",
       "      <td>$2.30</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$11.03</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>19:02:37</td>\n",
       "      <td>19:12:51</td>\n",
       "      <td>19:19:59</td>\n",
       "      <td>19:31:09</td>\n",
       "      <td>9051</td>\n",
       "      <td>Janet</td>\n",
       "      <td>7293</td>\n",
       "      <td>1081871</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$21.97</td>\n",
       "      <td>$2.74</td>\n",
       "      <td>$2.39</td>\n",
       "      <td>$8.00</td>\n",
       "      <td>$4.31</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>04:01:57</td>\n",
       "      <td>04:08:18</td>\n",
       "      <td>04:13:02</td>\n",
       "      <td>04:37:57</td>\n",
       "      <td>9389</td>\n",
       "      <td>Jacquelyn</td>\n",
       "      <td>7046</td>\n",
       "      <td>1128255</td>\n",
       "      <td>Union City</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$32.79</td>\n",
       "      <td>$0.12</td>\n",
       "      <td>$2.55</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$8.55</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>23:46:38</td>\n",
       "      <td>23:49:32</td>\n",
       "      <td>23:54:29</td>\n",
       "      <td>00:37:15</td>\n",
       "      <td>9187</td>\n",
       "      <td>Lauren</td>\n",
       "      <td>7385</td>\n",
       "      <td>1051183</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$67.56</td>\n",
       "      <td>$3.77</td>\n",
       "      <td>$3.35</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$8.82</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72309</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>07:38:34</td>\n",
       "      <td>07:41:28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>08:30:50</td>\n",
       "      <td>9172</td>\n",
       "      <td>Jocelyn</td>\n",
       "      <td>7051</td>\n",
       "      <td>1185143</td>\n",
       "      <td>Union City</td>\n",
       "      <td>No</td>\n",
       "      <td>$77.87</td>\n",
       "      <td>$10.25</td>\n",
       "      <td>$2.31</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$11.58</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72310</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>07:43:46</td>\n",
       "      <td>08:12:28</td>\n",
       "      <td>08:43:37</td>\n",
       "      <td>09:04:46</td>\n",
       "      <td>9324</td>\n",
       "      <td>Tammy</td>\n",
       "      <td>7041</td>\n",
       "      <td>1001989</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$60.71</td>\n",
       "      <td>$0.74</td>\n",
       "      <td>$4.22</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$3.98</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72311</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>06:12:39</td>\n",
       "      <td>06:57:05</td>\n",
       "      <td>07:25:08</td>\n",
       "      <td>07:55:46</td>\n",
       "      <td>9045</td>\n",
       "      <td>Mandy</td>\n",
       "      <td>7292</td>\n",
       "      <td>1122688</td>\n",
       "      <td>Union City</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$120.38</td>\n",
       "      <td>$7.96</td>\n",
       "      <td>$2.55</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$6.40</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72312</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>07:30:35</td>\n",
       "      <td>07:45:41</td>\n",
       "      <td>09:06:48</td>\n",
       "      <td>09:47:23</td>\n",
       "      <td>9430</td>\n",
       "      <td>Colleen</td>\n",
       "      <td>7278</td>\n",
       "      <td>1043599</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>No</td>\n",
       "      <td>$100.65</td>\n",
       "      <td>$12.40</td>\n",
       "      <td>$5.20</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$6.58</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72313</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>09:17:49</td>\n",
       "      <td>09:31:16</td>\n",
       "      <td>09:56:09</td>\n",
       "      <td>11:59:40</td>\n",
       "      <td>9353</td>\n",
       "      <td>Deborah</td>\n",
       "      <td>7072</td>\n",
       "      <td>1178270</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>Yes</td>\n",
       "      <td>$198.47</td>\n",
       "      <td>$13.65</td>\n",
       "      <td>$4.74</td>\n",
       "      <td>$2.00</td>\n",
       "      <td>$22.19</td>\n",
       "      <td>$0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72314 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date Time customer placed order Time order placed at restaurant  \\\n",
       "0     2020-01-01                   02:52:12                        03:00:25   \n",
       "1     2020-01-01                   15:58:57                        17:56:45   \n",
       "2     2020-01-01                   19:02:37                        19:12:51   \n",
       "3     2020-01-01                   04:01:57                        04:08:18   \n",
       "4     2020-01-01                   23:46:38                        23:49:32   \n",
       "...          ...                        ...                             ...   \n",
       "72309 2020-04-30                   07:38:34                        07:41:28   \n",
       "72310 2020-04-30                   07:43:46                        08:12:28   \n",
       "72311 2020-04-30                   06:12:39                        06:57:05   \n",
       "72312 2020-04-30                   07:30:35                        07:45:41   \n",
       "72313 2020-04-30                   09:17:49                        09:31:16   \n",
       "\n",
       "      Time driver arrived at restaurant Delivery time  Driver ID Driver Name  \\\n",
       "0                              03:08:09      03:35:20       9329     Christy   \n",
       "1                              18:24:39      18:57:01       9175   Elizabeth   \n",
       "2                              19:19:59      19:31:09       9051       Janet   \n",
       "3                              04:13:02      04:37:57       9389   Jacquelyn   \n",
       "4                              23:54:29      00:37:15       9187      Lauren   \n",
       "...                                 ...           ...        ...         ...   \n",
       "72309                               NaN      08:30:50       9172     Jocelyn   \n",
       "72310                          08:43:37      09:04:46       9324       Tammy   \n",
       "72311                          07:25:08      07:55:46       9045       Mandy   \n",
       "72312                          09:06:48      09:47:23       9430     Colleen   \n",
       "72313                          09:56:09      11:59:40       9353     Deborah   \n",
       "\n",
       "       Restaurant ID  Customer ID Delivery Area ASAP Sub Total Delivery fee  \\\n",
       "0               7263      1143515       Fremont  Yes    $21.39        $0.43   \n",
       "1               7247      1136820       Hayward  Yes    $99.74        $6.05   \n",
       "2               7293      1081871       Hayward  Yes    $21.97        $2.74   \n",
       "3               7046      1128255    Union City  Yes    $32.79        $0.12   \n",
       "4               7385      1051183       Hayward  Yes    $67.56        $3.77   \n",
       "...              ...          ...           ...  ...       ...          ...   \n",
       "72309           7051      1185143    Union City   No    $77.87       $10.25   \n",
       "72310           7041      1001989       Hayward  Yes    $60.71        $0.74   \n",
       "72311           7292      1122688    Union City  Yes   $120.38        $7.96   \n",
       "72312           7278      1043599       Hayward   No   $100.65       $12.40   \n",
       "72313           7072      1178270       Hayward  Yes   $198.47       $13.65   \n",
       "\n",
       "      Service fee Discount     Tip Refunded amount  \n",
       "0           $3.83    $2.00   $1.40           $0.00  \n",
       "1           $2.30    $2.00  $11.03           $0.00  \n",
       "2           $2.39    $8.00   $4.31           $0.00  \n",
       "3           $2.55    $2.00   $8.55           $0.00  \n",
       "4           $3.35    $2.00   $8.82           $0.00  \n",
       "...           ...      ...     ...             ...  \n",
       "72309       $2.31    $2.00  $11.58           $0.00  \n",
       "72310       $4.22    $2.00   $3.98           $0.00  \n",
       "72311       $2.55    $2.00   $6.40           $0.00  \n",
       "72312       $5.20    $2.00   $6.58           $0.00  \n",
       "72313       $4.74    $2.00  $22.19           $0.00  \n",
       "\n",
       "[72314 rows x 17 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "973b5dd8-368c-42e6-bd7e-289bc2b39ac7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(72314, 17)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e0f9c390-fd80-4e0f-a3ed-53dc6f7acff9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 72314 entries, 0 to 72313\n",
      "Data columns (total 17 columns):\n",
      " #   Column                             Non-Null Count  Dtype         \n",
      "---  ------                             --------------  -----         \n",
      " 0   Date                               72314 non-null  datetime64[ns]\n",
      " 1   Time customer placed order         72314 non-null  object        \n",
      " 2   Time order placed at restaurant    72154 non-null  object        \n",
      " 3   Time driver arrived at restaurant  54190 non-null  object        \n",
      " 4   Delivery time                      72314 non-null  object        \n",
      " 5   Driver ID                          72314 non-null  int64         \n",
      " 6   Driver Name                        72314 non-null  object        \n",
      " 7   Restaurant ID                      72314 non-null  int64         \n",
      " 8   Customer ID                        72314 non-null  int64         \n",
      " 9   Delivery Area                      72314 non-null  object        \n",
      " 10  ASAP                               72314 non-null  object        \n",
      " 11  Sub Total                          72314 non-null  object        \n",
      " 12  Delivery fee                       72314 non-null  object        \n",
      " 13  Service fee                        72314 non-null  object        \n",
      " 14  Discount                           72314 non-null  object        \n",
      " 15  Tip                                72314 non-null  object        \n",
      " 16  Refunded amount                    72314 non-null  object        \n",
      "dtypes: datetime64[ns](1), int64(3), object(13)\n",
      "memory usage: 53.9 MB\n"
     ]
    }
   ],
   "source": [
    "df.info(memory_usage=\"deep\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c0dd64d9-a198-43eb-aba9-f0e5913dba62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                                     0\n",
       "Time customer placed order               0\n",
       "Time order placed at restaurant        160\n",
       "Time driver arrived at restaurant    18124\n",
       "Delivery time                            0\n",
       "Driver ID                                0\n",
       "Driver Name                              0\n",
       "Restaurant ID                            0\n",
       "Customer ID                              0\n",
       "Delivery Area                            0\n",
       "ASAP                                     0\n",
       "Sub Total                                0\n",
       "Delivery fee                             0\n",
       "Service fee                              0\n",
       "Discount                                 0\n",
       "Tip                                      0\n",
       "Refunded amount                          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9dd09a96-95f8-4440-8e70-c13235268a59",
   "metadata": {},
   "source": [
    "#### Number of Drivers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "cc870e5b-1fc8-468d-a7fd-466342a8d1f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "432"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Driver Name'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afcd116c-7fcb-438a-9d2e-e78c4f6ca1d3",
   "metadata": {},
   "source": [
    "#### Number of restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b0db75f5-0cf4-4437-a416-dabc62149a4d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "408"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Restaurant ID'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c10e5a63-577e-4633-b956-27f8a1a972fd",
   "metadata": {},
   "source": [
    "#### Number of unique customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d8c250aa-4a71-4c51-8ca3-d027d7a4fab9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6262"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Customer ID'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d78f7e2-8656-49f3-b3e9-94e572457b17",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Type Conversion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "118c5522-b525-4ca2-ace0-6a64157cad07",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['ASAP'] = df['ASAP'].map({'Yes': True, 'No': False})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e6402de9-78ce-4229-b752-fb7f14b7c7c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Sub Total'] = df['Sub Total'].str.replace('[$,]', '', regex=True).astype(float)\n",
    "df['Delivery fee'] = df['Delivery fee'].str.replace('[$,]', '', regex=True).astype(float)\n",
    "df['Service fee'] = df['Service fee'].str.replace('[$,]', '', regex=True).astype(float)\n",
    "df['Discount'] = df['Discount'].str.replace('[$,]', '', regex=True).astype(float)\n",
    "df['Tip'] = df['Tip'].str.replace('[$,]', '', regex=True).astype(float)\n",
    "df['Refunded amount'] = df['Refunded amount'].str.replace('[$,]', '', regex=True).astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "80be12b1-95ae-4ddc-b8ba-ea151948beff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 72314 entries, 0 to 72313\n",
      "Data columns (total 17 columns):\n",
      " #   Column                             Non-Null Count  Dtype         \n",
      "---  ------                             --------------  -----         \n",
      " 0   Date                               72314 non-null  datetime64[ns]\n",
      " 1   Time customer placed order         72314 non-null  object        \n",
      " 2   Time order placed at restaurant    72154 non-null  object        \n",
      " 3   Time driver arrived at restaurant  54190 non-null  object        \n",
      " 4   Delivery time                      72314 non-null  object        \n",
      " 5   Driver ID                          72314 non-null  int64         \n",
      " 6   Driver Name                        72314 non-null  object        \n",
      " 7   Restaurant ID                      72314 non-null  int64         \n",
      " 8   Customer ID                        72314 non-null  int64         \n",
      " 9   Delivery Area                      72314 non-null  object        \n",
      " 10  ASAP                               72314 non-null  bool          \n",
      " 11  Sub Total                          72314 non-null  float64       \n",
      " 12  Delivery fee                       72314 non-null  float64       \n",
      " 13  Service fee                        72314 non-null  float64       \n",
      " 14  Discount                           72314 non-null  float64       \n",
      " 15  Tip                                72314 non-null  float64       \n",
      " 16  Refunded amount                    72314 non-null  float64       \n",
      "dtypes: bool(1), datetime64[ns](1), float64(6), int64(3), object(6)\n",
      "memory usage: 27.4 MB\n"
     ]
    }
   ],
   "source": [
    "df.info(memory_usage=\"deep\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6defb0f9-3307-4d45-9590-8e360c170367",
   "metadata": {},
   "source": [
    "<h3 style=\"color:lightskyblue\">Conclusion: After convertion size reduced to half</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f98415e4-08d3-4cc0-a343-93085482e794",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sub Total</th>\n",
       "      <th>Delivery fee</th>\n",
       "      <th>Service fee</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Tip</th>\n",
       "      <th>Refunded amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>72314.000000</td>\n",
       "      <td>72314.000000</td>\n",
       "      <td>72314.000000</td>\n",
       "      <td>72314.000000</td>\n",
       "      <td>72314.000000</td>\n",
       "      <td>72314.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>93.844955</td>\n",
       "      <td>5.610922</td>\n",
       "      <td>3.474285</td>\n",
       "      <td>3.648726</td>\n",
       "      <td>9.494586</td>\n",
       "      <td>0.879774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>95.809156</td>\n",
       "      <td>3.443500</td>\n",
       "      <td>1.388401</td>\n",
       "      <td>6.791021</td>\n",
       "      <td>10.862448</td>\n",
       "      <td>9.708033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>47.420000</td>\n",
       "      <td>2.710000</td>\n",
       "      <td>2.330000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.510000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>69.850000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>3.340000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.610000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>106.990000</td>\n",
       "      <td>8.130000</td>\n",
       "      <td>4.520000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>11.740000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3593.410000</td>\n",
       "      <td>13.660000</td>\n",
       "      <td>6.840000</td>\n",
       "      <td>261.000000</td>\n",
       "      <td>469.050000</td>\n",
       "      <td>940.400000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Sub Total  Delivery fee   Service fee      Discount           Tip  \\\n",
       "count  72314.000000  72314.000000  72314.000000  72314.000000  72314.000000   \n",
       "mean      93.844955      5.610922      3.474285      3.648726      9.494586   \n",
       "std       95.809156      3.443500      1.388401      6.791021     10.862448   \n",
       "min        0.000000      0.000000      1.000000      0.000000      0.000000   \n",
       "25%       47.420000      2.710000      2.330000      2.000000      3.510000   \n",
       "50%       69.850000      5.400000      3.340000      2.000000      6.610000   \n",
       "75%      106.990000      8.130000      4.520000      3.000000     11.740000   \n",
       "max     3593.410000     13.660000      6.840000    261.000000    469.050000   \n",
       "\n",
       "       Refunded amount  \n",
       "count     72314.000000  \n",
       "mean          0.879774  \n",
       "std           9.708033  \n",
       "min           0.000000  \n",
       "25%           0.000000  \n",
       "50%           0.000000  \n",
       "75%           0.000000  \n",
       "max         940.400000  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,11:].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "740bcf6c-fa9c-445a-83c9-f05a369657f8",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "43c31721-5e9b-4475-9ed9-e12247c190a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3313341b-a924-4648-af40-d0edc2af37a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                                     0\n",
       "Time customer placed order               0\n",
       "Time order placed at restaurant        160\n",
       "Time driver arrived at restaurant    18124\n",
       "Delivery time                            0\n",
       "Driver ID                                0\n",
       "Driver Name                              0\n",
       "Restaurant ID                            0\n",
       "Customer ID                              0\n",
       "Delivery Area                            0\n",
       "ASAP                                     0\n",
       "Sub Total                                0\n",
       "Delivery fee                             0\n",
       "Service fee                              0\n",
       "Discount                                 0\n",
       "Tip                                      0\n",
       "Refunded amount                          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d9ca9eba-72ed-43b5-b9e0-55f0a7f8d646",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Time customer placed order</th>\n",
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       "      <th>Time driver arrived at restaurant</th>\n",
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       "      <th>ASAP</th>\n",
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       "      <th>Service fee</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>22:45:41</td>\n",
       "      <td>23:22:33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23:49:14</td>\n",
       "      <td>9034</td>\n",
       "      <td>Bethany</td>\n",
       "      <td>7286</td>\n",
       "      <td>1052229</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>False</td>\n",
       "      <td>46.96</td>\n",
       "      <td>5.39</td>\n",
       "      <td>1.84</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.42</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>04:58:55</td>\n",
       "      <td>04:59:31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>05:24:01</td>\n",
       "      <td>9279</td>\n",
       "      <td>Ebony</td>\n",
       "      <td>7146</td>\n",
       "      <td>1179405</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>True</td>\n",
       "      <td>53.30</td>\n",
       "      <td>4.73</td>\n",
       "      <td>1.98</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.17</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>16:49:32</td>\n",
       "      <td>17:50:50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18:25:00</td>\n",
       "      <td>9383</td>\n",
       "      <td>Jennifer</td>\n",
       "      <td>7275</td>\n",
       "      <td>1067334</td>\n",
       "      <td>Union City</td>\n",
       "      <td>False</td>\n",
       "      <td>76.10</td>\n",
       "      <td>3.51</td>\n",
       "      <td>2.12</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.96</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>19:21:54</td>\n",
       "      <td>19:25:02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20:32:06</td>\n",
       "      <td>9327</td>\n",
       "      <td>Janice</td>\n",
       "      <td>7262</td>\n",
       "      <td>1181283</td>\n",
       "      <td>Fremont</td>\n",
       "      <td>True</td>\n",
       "      <td>35.65</td>\n",
       "      <td>3.08</td>\n",
       "      <td>2.43</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.99</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>02:32:46</td>\n",
       "      <td>02:36:38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>03:30:03</td>\n",
       "      <td>9056</td>\n",
       "      <td>Joyce</td>\n",
       "      <td>7293</td>\n",
       "      <td>1125608</td>\n",
       "      <td>Union City</td>\n",
       "      <td>True</td>\n",
       "      <td>64.78</td>\n",
       "      <td>5.88</td>\n",
       "      <td>2.19</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.40</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72280</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>04:15:54</td>\n",
       "      <td>04:23:15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>05:09:03</td>\n",
       "      <td>9273</td>\n",
       "      <td>Heather</td>\n",
       "      <td>7037</td>\n",
       "      <td>1110162</td>\n",
       "      <td>Union City</td>\n",
       "      <td>True</td>\n",
       "      <td>130.13</td>\n",
       "      <td>7.80</td>\n",
       "      <td>5.82</td>\n",
       "      <td>2.0</td>\n",
       "      <td>21.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72291</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>08:49:52</td>\n",
       "      <td>09:07:54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10:05:57</td>\n",
       "      <td>9011</td>\n",
       "      <td>Mallory</td>\n",
       "      <td>7353</td>\n",
       "      <td>1006000</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>True</td>\n",
       "      <td>191.89</td>\n",
       "      <td>7.97</td>\n",
       "      <td>2.92</td>\n",
       "      <td>2.0</td>\n",
       "      <td>32.11</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72303</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>03:55:11</td>\n",
       "      <td>03:57:17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>04:56:21</td>\n",
       "      <td>9149</td>\n",
       "      <td>Wayne</td>\n",
       "      <td>7285</td>\n",
       "      <td>1006497</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>True</td>\n",
       "      <td>99.55</td>\n",
       "      <td>3.47</td>\n",
       "      <td>3.28</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.15</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72308</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>06:55:28</td>\n",
       "      <td>07:41:24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>09:15:27</td>\n",
       "      <td>9175</td>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>7369</td>\n",
       "      <td>1172371</td>\n",
       "      <td>Hayward</td>\n",
       "      <td>True</td>\n",
       "      <td>91.15</td>\n",
       "      <td>3.41</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.94</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72309</th>\n",
       "      <td>2020-04-30</td>\n",
       "      <td>07:38:34</td>\n",
       "      <td>07:41:28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>08:30:50</td>\n",
       "      <td>9172</td>\n",
       "      <td>Jocelyn</td>\n",
       "      <td>7051</td>\n",
       "      <td>1185143</td>\n",
       "      <td>Union City</td>\n",
       "      <td>False</td>\n",
       "      <td>77.87</td>\n",
       "      <td>10.25</td>\n",
       "      <td>2.31</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.58</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18216 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date Time customer placed order Time order placed at restaurant  \\\n",
       "8     2020-01-01                   22:45:41                        23:22:33   \n",
       "11    2020-01-01                   04:58:55                        04:59:31   \n",
       "13    2020-01-01                   16:49:32                        17:50:50   \n",
       "18    2020-01-01                   19:21:54                        19:25:02   \n",
       "21    2020-01-01                   02:32:46                        02:36:38   \n",
       "...          ...                        ...                             ...   \n",
       "72280 2020-04-30                   04:15:54                        04:23:15   \n",
       "72291 2020-04-30                   08:49:52                        09:07:54   \n",
       "72303 2020-04-30                   03:55:11                        03:57:17   \n",
       "72308 2020-04-30                   06:55:28                        07:41:24   \n",
       "72309 2020-04-30                   07:38:34                        07:41:28   \n",
       "\n",
       "      Time driver arrived at restaurant Delivery time  Driver ID Driver Name  \\\n",
       "8                                   NaN      23:49:14       9034     Bethany   \n",
       "11                                  NaN      05:24:01       9279       Ebony   \n",
       "13                                  NaN      18:25:00       9383    Jennifer   \n",
       "18                                  NaN      20:32:06       9327      Janice   \n",
       "21                                  NaN      03:30:03       9056       Joyce   \n",
       "...                                 ...           ...        ...         ...   \n",
       "72280                               NaN      05:09:03       9273     Heather   \n",
       "72291                               NaN      10:05:57       9011     Mallory   \n",
       "72303                               NaN      04:56:21       9149       Wayne   \n",
       "72308                               NaN      09:15:27       9175   Elizabeth   \n",
       "72309                               NaN      08:30:50       9172     Jocelyn   \n",
       "\n",
       "       Restaurant ID  Customer ID Delivery Area   ASAP  Sub Total  \\\n",
       "8               7286      1052229       Hayward  False      46.96   \n",
       "11              7146      1179405       Hayward   True      53.30   \n",
       "13              7275      1067334    Union City  False      76.10   \n",
       "18              7262      1181283       Fremont   True      35.65   \n",
       "21              7293      1125608    Union City   True      64.78   \n",
       "...              ...          ...           ...    ...        ...   \n",
       "72280           7037      1110162    Union City   True     130.13   \n",
       "72291           7353      1006000       Hayward   True     191.89   \n",
       "72303           7285      1006497       Hayward   True      99.55   \n",
       "72308           7369      1172371       Hayward   True      91.15   \n",
       "72309           7051      1185143    Union City  False      77.87   \n",
       "\n",
       "       Delivery fee  Service fee  Discount    Tip  Refunded amount  \n",
       "8              5.39         1.84       2.0   3.42              0.0  \n",
       "11             4.73         1.98       2.0   8.17              0.0  \n",
       "13             3.51         2.12       2.0   4.96              0.0  \n",
       "18             3.08         2.43       2.0   4.99              0.0  \n",
       "21             5.88         2.19       2.0   3.40              0.0  \n",
       "...             ...          ...       ...    ...              ...  \n",
       "72280          7.80         5.82       2.0  21.00              0.0  \n",
       "72291          7.97         2.92       2.0  32.11              0.0  \n",
       "72303          3.47         3.28       2.0   5.15              0.0  \n",
       "72308          3.41         1.95       2.0   5.94              0.0  \n",
       "72309         10.25         2.31       2.0  11.58              0.0  \n",
       "\n",
       "[18216 rows x 17 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.isnull().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4e4e550-42f9-45d3-bf36-d0ac8859b1cf",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Helper function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "98fd56fb-403e-47e6-be6f-84b3f71ea3a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime, timedelta\n",
    "\n",
    "def calculate_time_difference(order_placed_at, delivered_at):\n",
    "    \"\"\"Calculates the time difference between two time objects.\n",
    "    Args:\n",
    "        order_placed_at: The order_placed_at time object.\n",
    "        delivered_at: The delivered_at time object.\n",
    "    Returns:\n",
    "        A float representing the time difference in hours.\n",
    "    \"\"\"\n",
    "\n",
    "    current_date = datetime.now().date()\n",
    "    order_datetime = datetime.combine(current_date, order_placed_at)\n",
    "    delivery_datetime = datetime.combine(current_date, delivered_at)\n",
    "    \n",
    "    # Calculate time difference\n",
    "    time_difference = delivery_datetime - order_datetime\n",
    "    \n",
    "    # Handle overnight deliveries\n",
    "    if time_difference.total_seconds() < 0:\n",
    "        delivery_datetime += timedelta(days=1)\n",
    "        time_difference = delivery_datetime - order_datetime\n",
    "    \n",
    "    # Convert to hours\n",
    "    hours_difference = time_difference.total_seconds() / 3600\n",
    "    \n",
    "    return round(hours_difference, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "137e1d03-007e-4418-8e8b-cf29e5f7d8e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def format_hours(decimal_hours):\n",
    "    hours = int(decimal_hours)\n",
    "    minutes = round((decimal_hours - hours) * 60)\n",
    "    return f\"{hours} hours and {minutes} minutes\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad9fd71d-3706-42ce-bf68-68e8afa06a5f",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Added required columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "341722c9-5879-4269-be95-b8692409ade1",
   "metadata": {},
   "outputs": [],
   "source": [
    "### Calculates the total time needed to make delivery\n",
    "df['time_taken_to_deliver'] = df.apply(lambda row: calculate_time_difference(row['Time customer placed order'], row['Delivery time']), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8c8d73d9-47ec-40d8-ab82-e3890d837536",
   "metadata": {},
   "outputs": [],
   "source": [
    "### calaculated total sales from that order\n",
    "df['sales'] = df['Sub Total']+df['Delivery fee']+df['Service fee']-df['Discount']+df['Refunded amount']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "072fc559-3047-4ff1-a822-886dcab51071",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Tip Given'] = df['Tip'].apply(lambda x: 1 if x > 0 else 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4d28cf0-0e64-4524-a759-bcdeca460552",
   "metadata": {},
   "source": [
    "## EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4fbbc7e-2594-4443-9a38-cc00c00b90a0",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Average delivery time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "7995d565-ca6e-4fa3-a202-363e0fd73dac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 hours and 18 minutes\n"
     ]
    }
   ],
   "source": [
    "formatted_time = format_hours(df['time_taken_to_deliver'].mean())\n",
    "print(formatted_time) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aad58a57-3319-40f1-b4c5-57a18a2e19b4",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Total Revenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "e0218304-a0c8-49de-9a25-42930459666e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7243057.7"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.round(df['sales'].sum(),2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71ff3e04-3c71-4667-9a46-79ea322a547c",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Lost due to refuds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "18901d77-c996-462e-8f89-a5d1da60611e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63620.0"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Refunded amount'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83e321ff-b50f-4e3d-9de9-c1b2437c65d1",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Average Order Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "3c64e948-35e0-4ae2-a514-e39cb5c8ce04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100.16"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(df['sales'].sum()/df['Customer ID'].count(),2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c81fee9-ac56-4e65-9a5e-421bf8d4fe58",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Total Discount given"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "e414d72a-3c9b-4e81-986e-56fcd5c78f17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "263854.0"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Discount'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "555e38bf-6531-4244-b75a-be18f2f51cd0",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Total tip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "18075e29-34d8-4f6f-897c-8716e77e761d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "686591.49"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Tip'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca75b647-d881-4535-9656-d9fab4bb7c1b",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Monthly Revenue Trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "24d71be3-1661-4707-b7a3-4c92ea0b18f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01</th>\n",
       "      <td>1280898.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02</th>\n",
       "      <td>1750505.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03</th>\n",
       "      <td>1974445.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04</th>\n",
       "      <td>2237207.70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              sales\n",
       "Date               \n",
       "2020-01  1280898.52\n",
       "2020-02  1750505.81\n",
       "2020-03  1974445.67\n",
       "2020-04  2237207.70"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_trend = df.groupby(df['Date'].dt.to_period('M')).agg({'sales':'sum'})\n",
    "monthly_trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "e7a78f72-ae3e-4461-a9a4-634bb8589575",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt.figure(figsize=(10, 6))  # Set the figure size\n",
    "# monthly_trend.plot(kind='line', color='skyblue',marker='o',legend=False)\n",
    "# plt.title('Monthly Sales Trend')\n",
    "# plt.xlabel('Month')\n",
    "# plt.ylabel('Sales')\n",
    "# plt.xticks( ha='right')  # Rotate x-axis labels for better readability\n",
    "# #plt.tight_layout()\n",
    "\n",
    "# # Display the bar chart\n",
    "# plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "1688fa86-085f-474e-a7e4-95422e88a1be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "311672.88"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly_trend = df.groupby(df['Date'].dt.to_period('W')).agg({'sales':'sum'})\n",
    "weekly_trend['sales'].iloc[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "9474222c-0861-473f-8996-eec75486ba9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "weekly_trend.plot(kind='line', color='skyblue',marker='o',legend=False)\n",
    "plt.title('What is the monthly Sales Trend?')\n",
    "plt.xlabel('Month')\n",
    "plt.annotate('No data for May', \n",
    "             xy=(weekly_trend.index[-1] , weekly_trend['sales'].iloc[-1]), \n",
    "             xytext=(10, 30),\n",
    "             textcoords='offset points',\n",
    "             ha='left',\n",
    "             va='bottom',\n",
    "             bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=0.5),\n",
    "             arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0'))\n",
    "plt.ylabel('Sales')\n",
    "plt.xticks( ha='right') \n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "560529a5-3e99-4d29-bec2-3ed93e5e6e76",
   "metadata": {},
   "outputs": [],
   "source": [
    "weekly_delivery_time_trend = df.groupby(df['Date'].dt.to_period('W')).agg({'time_taken_to_deliver':'mean'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0d4388c4-7b38-4335-bd91-2321408c7e32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6)) \n",
    "weekly_delivery_time_trend.plot(kind='line', color='skyblue',marker='o',legend=False)\n",
    "plt.title('What is the Monthly Average Delivery time Trend?')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Average Delivery Time')\n",
    "plt.xticks( ha='right') \n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "421aa942-42b7-445e-98ab-de171eb86d67",
   "metadata": {},
   "outputs": [],
   "source": [
    "weekly_refund_trend = df.groupby(df['Date'].dt.to_period('W')).agg({'Refunded amount':'sum'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "4b9c56e9-422b-444d-ac3f-80350c0e2206",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "weekly_refund_trend.plot(kind='line', color='skyblue',marker='o',legend=False)\n",
    "plt.title('What is the monthly Refund Trend?')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Total Refund')\n",
    "plt.xticks( ha='right')  \n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "e7fbedf9-5baf-4c32-9ef4-40a017ec2789",
   "metadata": {},
   "outputs": [],
   "source": [
    "weekly_avg_order = df.groupby(df['Date'].dt.to_period('W')).agg({'sales':'sum','Customer ID': 'count'})\n",
    "weekly_avg_order.rename(columns={'Customer ID': 'Number of customers'}, inplace=True)\n",
    "weekly_avg_order['Average order value'] = weekly_avg_order['sales'] / weekly_avg_order['Number of customers']\n",
    "md_weekly_avg_order = weekly_avg_order[['Average order value']] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "ae92c358-6697-4bd2-932d-22b1ca90c487",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "md_weekly_avg_order.plot(kind='line', color='skyblue',marker='o',legend=False)\n",
    "plt.title('What is the monthly Average Order Value Trend?')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Average Order Value')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f2ea9b7-e265-4f8c-92aa-5790a03fefa0",
   "metadata": {},
   "source": [
    "<h3 style=\"color:lightskyblue\">Insight:</h3>\n",
    "<h4>Sales is increasing each month.Average delivery time was decreasing but now it's increasing again. Refund is increasing with fluctuation.Average order value is increasing.</h4>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4da896ba-c2d3-4fe0-9340-2964c7a023ed",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Driver analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "584dacf7-0013-4b43-91b4-175b26ae2c81",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver_totals = df.groupby(['Driver Name']).agg({'sales':'sum'}).sort_values('sales',ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "d01c005d-569d-49e1-89c2-ce7900c25164",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))  \n",
    "driver_totals.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Who are top 10 revenue generating driver?')\n",
    "plt.xlabel('Driver Name')\n",
    "plt.ylabel('Sales')\n",
    "plt.xticks(rotation=45, ha='right')  \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "9e05340e-9c06-4ee2-804e-80177e457af6",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver_delivery_time = df.groupby(['Driver Name']).agg({'time_taken_to_deliver':'mean'}).sort_values('time_taken_to_deliver')[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "3b73fb78-ecf5-4f15-a111-dca05bb5eae1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "driver_delivery_time.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Which 20 drivers take less time to deliver?')\n",
    "plt.xlabel('Driver Name')\n",
    "plt.ylabel('Average delivery time')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "14212dd8-9699-419b-8e8b-da97302065d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver_TIP_mean = df.groupby(['Driver Name']).agg({'Tip':'mean'}).sort_values('Tip', ascending=False)[:20]\n",
    "driver_TIP_sum = df.groupby(['Driver Name']).agg({'Tip':'sum'}).sort_values('Tip', ascending=False)[:20]\n",
    "driver_delivery = df.groupby(['Driver Name']).agg({'Tip':'count'}).sort_values('Tip', ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "ff83c81d-3e44-4aec-a77f-56f3a57ed13f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "driver_TIP_mean.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Which 20 drivers get highest average tip?')\n",
    "plt.xlabel('Driver Name')\n",
    "plt.ylabel('Average tip')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "986661bb-ee8f-46da-aace-1c4a337b19c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "driver_TIP_sum.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Who are the top 20 drivers by total tip?')\n",
    "plt.xlabel('Driver Name')\n",
    "plt.ylabel('Total tip')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "3d6fc975-5636-46ab-827b-b5d1680bcb78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "driver_delivery.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Which 20 drivers delivered most?')\n",
    "plt.xlabel('Driver Name')\n",
    "plt.ylabel('Number of delivery')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "e2f32c74-9f97-4082-a80d-6257998dc706",
   "metadata": {},
   "outputs": [],
   "source": [
    "driver_tip_ratio = df.groupby('Driver Name').agg({'Tip Given':'sum','sales': 'count'})\n",
    "driver_tip_ratio['Tip Ratio'] = driver_tip_ratio['Tip Given'] / driver_tip_ratio['sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "e43683cb-e60d-4fe5-9564-2db8c0bfa9a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_20_drivers = driver_tip_ratio.sort_values('Tip Ratio', ascending=False).head(20)\n",
    "\n",
    "plt.figure(figsize=(15, 8))\n",
    "bars = plt.bar(top_20_drivers.index, top_20_drivers['Tip Ratio'], color='skyblue')\n",
    "\n",
    "plt.title('Who are top 20 drivers by tip ratio?', fontsize=16)\n",
    "plt.xlabel('Driver Name', fontsize=12)\n",
    "plt.ylabel('Tip Ratio (Deliveries with Tips / Total Deliveries)', fontsize=12)\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "\n",
    "for bar in bars:\n",
    "    height = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width()/2., height,\n",
    "             f'{height:.2f}',\n",
    "             ha='center', va='bottom')\n",
    "\n",
    "plt.gca().yaxis.set_ticks([])  \n",
    "plt.gca().spines['left'].set_visible(False)\n",
    "plt.gca().spines['top'].set_visible(False)\n",
    "plt.gca().spines['right'].set_visible(False)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b6e50f4-3d1a-4b4f-b5d1-7641d7dc2204",
   "metadata": {},
   "source": [
    "<h3 style=\"color:lightskyblue\">Insight:</h3>\n",
    "<h4>Different driver are performing top on different metric. So considering tip ratio as key metric. Top 20 drivers have same ratio.</h4>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fd10ffd-794a-4a1d-bd0f-6652e9d7d682",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Restaurant analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "31415649-6dcb-4cc6-a9b4-4c85800ce29f",
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurant_sales = df.groupby(['Restaurant ID']).agg({'sales':'sum'}).sort_values('sales', ascending=False)[:20]\n",
    "restaurant_delivery_time = df.groupby(['Restaurant ID']).agg({'time_taken_to_deliver':'mean'}).sort_values('time_taken_to_deliver')[:20]\n",
    "restaurant_delivery_count  = df.groupby(['Restaurant ID']).agg({'Customer ID':'count'}).sort_values('Customer ID', ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "b667532f-01f8-4c86-b140-530e19b37eec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "restaurant_sales.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Which 20 restaurants generate highest revenue?')\n",
    "plt.xlabel('Restaurant')\n",
    "plt.ylabel('Sales')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "1c199ba1-27eb-4a28-a7b2-d0ccaf2ccd70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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//77a+1q1agGARuuwYcOGOH36NEaOHIndu3cjISFBq/ZrEvvevXsYPnw4nJ2dlWXn4uICAGr9adiwIUJCQjBnzhz89ddfeb5jOjIyEi9evFBOO2VwdnZGy5YtsW/fPqWsVatWOHLkCF68eIFbt27h6tWr+Oijj1CnTh2Eh4cDAPbu3YsKFSqgSpUqAIAdO3ZApVKhT58+atudo6Oj2j5fuXJllCxZEhMnTsT333+PCxcu5Kk/b/rzzz/RunVr2NrawtjYGKampvjiiy/w8OFD3Lt3DwBgYmKCPn36YPPmzXj69CmA13ey/+c//0Hnzp2Vyyg07UuGkiVLomXLllnadP36dfTq1QuOjo5Km5o3bw7g/9fxpUuXEB8fj+7du6tNW6FCBeW4mGHHjh0oUaIEOnXqpNauOnXqwNHRMdsbAjJcunQJd+/eRa9evdSOLS4uLvD19dVZnOz07t0b5ubmapdjhIaGIjk5WbkU5eXLl9i3bx+6du0KKysrtbj+/v54+fIl/vrrLwBApUqV0LFjR6xYsUI51b5+/Xo8fPhQoycmaMvJyQn16tVT3tvZ2aFMmTKoU6cOypYtq5RXr14dwP/v59r0KcOePXuwbt06LFq0CAEBATrvy7uEiZ0B8fPzw+XLl3H37l3s378f9erVUx4v0rx5c0RFReHp06fYv38/TExM0KRJkyzzyO46NnNz8yx3nWaWcW1I+fLl39pGKysrWFhYZJn/y5cv3zpthsePH6NNmza4c+cOwsPDUalSJbXPS5UqhZcvX+L58+dZpn306BHs7Ow0ivPmHVz//vsvAKBBgwYwNTVVe23cuFG5hkulUmHfvn1o164dFixYgLp168Le3h6jR49Wu84xJ5s3b0b37t1Rrlw5rFu3DpGRkThx4gQGDRqk1XLSpE8A0KtXLyxfvhxDhgzB7t27cfz4cZw4cQL29vbZrvc3txFzc3MAyHUbyRAUFISFCxfir7/+QocOHVCqVCm0atUKJ0+e1Kj9b4udnp6Otm3bYvPmzZgwYQL27duH48ePKwf5zG3cuHEj+vfvj1WrVsHHxwd2dnbo168f4uPjNWpLhocPHwLIftmWLVtW+RwAWrdujeTkZBw+fBjh4eEoXbo0vLy80Lp1a+Xavn379qF169bKNP/++y9EBA4ODlm2u7/++kvZ7mxtbREREYE6depg8uTJqFGjBsqWLYvp06fnOWk9fvw42rZtC+D1tWpHjhzBiRMnMGXKFADqyzNj+9ywYQOA138IxcXFqV3rqmlfMmS3TBMTE9G0aVMcO3YMc+bMwYEDB3DixAls3rxZrU0Zy/3Na6yyK/v333/x5MkTmJmZZWlXfHx8lnZllhHH0dExy2dvluUnTnbs7Ozw/vvvY+3atUhLSwPw+nq2hg0bokaNGkr7UlNT8c0332SJ6e/vDwBqcceMGYMrV64of2h8++238PHxUbtOUleyOxabmZllKTczMwMA5finbZ8AKH/ovHk9qyHiXbEGxM/PD4sXL8aBAwdw4MABZQMHoCRxBw8eVG6qyOsz5d6UcdFsxgXaBenx48do3bo1bty4gX379ikjNpl5enoCAM6ePYtGjRop5RkHzpo1a2oU682RvYyLbX/77TdlBCgnLi4uykXNly9fxqZNmzBjxgykpKTg+++/z3XadevWwdXVFRs3blRrw5s3mGQkyG+WZ04k3tanp0+fYseOHZg+fTomTZqkFuvRo0e5tjMvTExMEBgYiMDAQDx58gR79+7F5MmT0a5dO8TGxub7jsdz587h9OnTCAkJQf/+/ZXyq1evZqlbunRpBAcHIzg4GDExMdi2bRsmTZqEe/fuZXuhdk4yks3MNy5luHv3rtpF2o0aNUKxYsWwd+9e3Lx5E61atYJKpUKrVq2waNEinDhxAjExMWqJXenSpaFSqXDo0CElkc0sc5mnpyc2bNgAEcGZM2cQEhKCWbNmwdLSUm39amrDhg0wNTXFjh071P4gy+4GJA8PDzRs2BBr1qzBxx9/jDVr1qBs2bJKYqhtX4DsR9f//PNP3L17FwcOHFBG6QBkeZ5lxnrJ+IMsszeT94wbgXJa75nPYrwpI052fxDoMk5OBg4ciF9//RXh4eGoUKECTpw4ge+++075vGTJkjA2Nkbfvn1zfNyTq6ur8v+WLVuiZs2aWL58OYoVK4ZTp05h3bp1WrerIGnbJ+D1Hz7u7u5ZBhYMERM7A9KsWTMYGxvjt99+w/nz57FgwQLlM1tbW9SpUwc///wzbt68iV69euksrq+vL2xtbfH999/jo48+KrBHgmQkddevX0d4eDi8vLyyrde+fXtYWFggJCRELbHLuDOrS5cueYrfrl07mJiY4Nq1a9me0sxJ1apVMXXqVISFheHUqVNKeU4joSqVCmZmZmrLMT4+PstdsQ4ODrCwsMCZM2fUyt+slxuVSgURyfKFumrVKmUEIC/eNsoLACVKlEBAQADu3LmDsWPH4ubNm1o/huZNGcvszf788MMPuU5XoUIFjBo1Cvv27cORI0e0iunj4wNLS0usW7cOH374oVJ++/Zt/Pnnn2qnfUxNTdGsWTOEh4cjNjYW8+fPBwA0bdoUJiYmmDp1qpLoZejYsSPmz5+PO3fuZDmtmBOVSoXatWtjyZIlCAkJ0Wi7y2k+JiYmMDY2VspevHiB//znP9nWHzhwIEaMGIHDhw9j+/btCAwMVJs2L33Jrk0Z/cjszXXs7u4OR0dHbNq0CYGBgUp5TEwMjh49qnaqr2PHjtiwYQPS0tLUjhmacHd3h5OTE0JDQxEYGKi079atWzqNk5O2bduiXLlyWLNmDSpUqAALCwv07NlT+dzKygp+fn6IiopCrVq1lNGv3IwePRrDhw/H06dP4eDgoLZd50Sbkfv8ykufBg4cmOVJCYaKiZ0ByXgUwZYtW2BkZJTlOpLmzZsjODgYQN6eX5eTYsWKYdGiRRgyZAhat26NoUOHwsHBAVevXsXp06exfPnyfMd48eKF8liR4OBgpKamql1DYW9vrzy+w87ODlOnTsW0adNgZ2eHtm3b4sSJE5gxYwaGDBmS5+ShYsWKmDVrFqZMmYLr16+jffv2KFmyJP79918cP34c1tbWmDlzJs6cOYNRo0bhww8/RJUqVWBmZoY///wTZ86cURs1yRhd2bhxIypVqgQLCwt4enqiY8eO2Lx5M0aOHImAgADExsZi9uzZcHJywpUrV5TpM65V+umnn+Dm5obatWvj+PHjWL9+vcZ9srGxQbNmzfD111+jdOnSqFixIiIiIrB69WqUKFEiT8spt7516tQJNWvWRP369WFvb49bt24hODgYLi4uyjVl+VGtWjW4ublh0qRJEBHY2dlh+/btymmlDE+fPoWfnx969eqFatWqoXjx4jhx4gR27dqFDz74QKuYJUqUwLRp0zB58mT069cPPXv2xMOHDzFz5kxYWFhg+vTpavVbtWqF8ePHA4AyMmdpaQlfX1/s2bMHtWrVQpkyZZT6jRs3xrBhwzBw4ECcPHkSzZo1g7W1NeLi4nD48GF4enpixIgR2LFjB1asWIEuXbqgUqVKEBFs3rwZT548QZs2bZT5eXp64sCBA9i+fTucnJxQvHhxuLu7Z9u39957D4sXL0avXr0wbNgwPHz4EAsXLsx2tA0AevbsicDAQPTs2RPJyclZrjvUtC+58fX1RcmSJTF8+HBMnz4dpqam+OWXX3D69Gm1ekZGRpg5cyY+/vhjBAQEYNCgQXjy5AlmzpwJJycntetyP/roI/zyyy/w9/fHmDFj0LBhQ5iamuL27dvYv38/OnfujK5du2bbHiMjI8yePRtDhgxB165dMXToUDx58gQzZszIcio2P3FyYmxsjH79+mHx4sWwsbHBBx98AFtbW7U6S5cuRZMmTdC0aVOMGDECFStWxLNnz3D16lVs374df/75p1r9Pn36ICgoCAcPHsTUqVM1SpyKFy8OFxcXbN26Fa1atYKdnZ1yTCkI2vZp1qxZmDVrFq5du/bWMy5FXuHdt0EFYcKECQJA6tevn+WzLVu2CAAxMzOTpKSkLJ8DkE8++SRLuYuLi9pddNnd4SQisnPnTmnevLlYW1uLlZWVeHh4yFdffaV83r9/f7G2ts4y/4w7NnOTcQdoTq/s7vJbunSpVK1aVczMzKRChQoyffp0tcdd5CSjfydOnMj28y1btoifn5/Y2NiIubm5uLi4SEBAgOzdu1dEXj+uYsCAAVKtWjWxtraWYsWKSa1atWTJkiVqj+W4efOmtG3bVooXL648iiTD/PnzpWLFimJubi7Vq1eXH3/8Mdvl9PTpUxkyZIg4ODiItbW1dOrUSW7evJnjXbGZH1+S4fbt29KtWzcpWbKkFC9eXNq3by/nzp3Lcb2/uVwy7ljNeJRLbn1btGiR+Pr6SunSpZX1MnjwYLl582Zuq0SJ8ebdbNndGXzhwgVp06aNFC9eXEqWLCkffvihcid4xjJ5+fKlDB8+XGrVqiU2NjZiaWkp7u7uMn369Gz3jcxy2v5XrVoltWrVEjMzM7G1tZXOnTtn+yiR06dPCwCpUqWKWvncuXMFgAQGBmYb96effpJGjRqJtbW1WFpaipubm/Tr10+5q/Cff/6Rnj17ipubm1haWoqtra00bNhQQkJC1OYTHR0tjRs3FisrKwHw1juzf/rpJ3F3dxdzc3OpVKmSzJs3T1avXp3tMhAR6dWrlwDI9jEcmvZF5PVdkzVq1Mh2+qNHj4qPj49YWVmJvb29DBkyRE6dOpXtXeIrV66UypUri5mZmVStWlV++ukn6dy5s9od5iKv7+xduHCh1K5dWywsLKRYsWJSrVo1+fjjj+XKlSu5LiOR1+u/SpUqanH69++vtl9rE0eTu2IzXL58WTkWvvnImQw3btyQQYMGSbly5cTU1FTs7e3F19dX5syZk239AQMGiImJidy+ffutfc+wd+9e8fLyEnNzc7Xjck53xWa3fl1cXOS9997LUp7d95M2fco4Bma3zRoalUimp0wSEREZsCdPnqBq1aro0qULVq5cWdjNeSelpKSgYsWKaNKkCTZt2lTYzSEt8VQsEREZpPj4eMydOxd+fn4oVaoUbt26hSVLluDZs2cYM2ZMYTfvnXP//n1cunQJa9aswb///punG26o8DGxIyIig2Rubo6bN29i5MiRePToEaysrODt7Y3vv/9eeRwI/b8//vgDAwcOhJOTE1asWFEgjzihgsdTsUREREQGgg8oJiIiIjIQTOyIiIiIDAQTOyIiIiIDwZsnspGeno67d++iePHiBfYrCkRERESaEBE8e/YMZcuWVXu4dnaY2GXj7t27cHZ2LuxmEBERESliY2NRvnz5XOswsctGxg8xx8bGwsbGppBbQ0RERP/LEhIS4OzsrOQnuWFil42M0682NjZM7IiIiOidoMnlYbx5goiIiMhAMLEjIiIiMhBM7IiIiIgMBBM7IiIiIgPBxI6IiIjIQDCxIyIiIjIQTOyIiIiIDAQTOyIiIiIDwcSOiIiIyEAwsSMiIiIyEEzsiIiIiAwEEzsiIiIiA8HEjoiIiMhAMLEjIiIiMhBM7IiIiIgMhElhN4CIiIj+98yPepCn6SZ5lX7n4+m7b5kxsSMiIiIAhZuQkG7wVCwRERGRgeCIHRER0TuKI2ikLSZ2REREWmCyRe8yJnZERFSkMdEi+n+FmtgdPHgQX3/9Nf7++2/ExcXh999/R5cuXXKsP2DAAPz8889Zyj08PHD+/HkAQEhICAYOHJilzosXL2BhYaGzthMRUc6YbBEVjkK9eSIpKQm1a9fG8uXLNaq/dOlSxMXFKa/Y2FjY2dnhww8/VKtnY2OjVi8uLo5JHRERERm8Qh2x69ChAzp06KBxfVtbW9ja2irvt2zZgsePH2cZoVOpVHB0dNRZO4mIijqOoBH9byjS19itXr0arVu3houLi1p5YmIiXFxckJaWhjp16mD27Nnw8vLKcT7JyclITk5W3ickJBRYm4mIMjDZIiJdK7LPsYuLi8N///tfDBkyRK28WrVqCAkJwbZt2xAaGgoLCws0btwYV65cyXFe8+bNU0YDbW1t4ezsXNDNJyIiItK5IpvYhYSEoESJEllutvD29kafPn1Qu3ZtNG3aFJs2bULVqlXxzTff5DivoKAgPH36VHnFxsYWcOuJiIiIdK9InooVEfz000/o27cvzMzMcq1rZGSEBg0a5DpiZ25uDnNzc103k4iIiEiviuSIXUREBK5evYrBgwe/ta6IIDo6Gk5OTnpoGREREVHhKdQRu8TERFy9elV5f+PGDURHR8POzg4VKlRAUFAQ7ty5g7Vr16pNt3r1ajRq1Ag1a9bMMs+ZM2fC29sbVapUQUJCApYtW4bo6Gh8++23Bd4fIir68nJDA29mIKJ3RaEmdidPnoSfn5/yPjAwEADQv39/hISEIC4uDjExMWrTPH36FGFhYVi6dGm283zy5AmGDRuG+Ph42NrawsvLCwcPHkTDhg0LriNEVGB45ygRkeYKNbFr0aIFRCTHz0NCQrKU2dra4vnz5zlOs2TJEixZskQXzSOiHHBUi4jo3VQkr7EjIiIioqyY2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGgokdERERkYEo1AcUE5Fu8NcZiIgI4IgdERERkcHgiB1RAeHPbhERkb4xsaP/GTxdSUREho6JHRUqjmoRERHpDq+xIyIiIjIQTOyIiIiIDAQTOyIiIiIDwcSOiIiIyEAwsSMiIiIyEEzsiIiIiAwEEzsiIiIiA8HEjoiIiMhAMLEjIiIiMhBM7IiIiIgMBBM7IiIiIgPBxI6IiIjIQDCxIyIiIjIQTOyIiIiIDAQTOyIiIiIDwcSOiIiIyEAwsSMiIiIyECaF3QB6u/lRD7SeZpJXab3Fyk88IiIi0h2O2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGolATu4MHD6JTp04oW7YsVCoVtmzZkmv9AwcOQKVSZXn9888/avXCwsLg4eEBc3NzeHh44Pfffy/AXhARERG9Gwo1sUtKSkLt2rWxfPlyraa7dOkS4uLilFeVKlWUzyIjI9GjRw/07dsXp0+fRt++fdG9e3ccO3ZM180nIiIieqcU6gOKO3TogA4dOmg9XZkyZVCiRIlsPwsODkabNm0QFBQEAAgKCkJERASCg4MRGhqan+YSERERvdOK5DV2Xl5ecHJyQqtWrbB//361zyIjI9G2bVu1snbt2uHo0aM5zi85ORkJCQlqLyIiIqKipkgldk5OTli5ciXCwsKwefNmuLu7o1WrVjh48KBSJz4+Hg4ODmrTOTg4ID4+Psf5zps3D7a2tsrL2dm5wPpAREREVFCK1G/Furu7w93dXXnv4+OD2NhYLFy4EM2aNVPKVSqV2nQikqUss6CgIAQGBirvExISmNwRERFRkVOkRuyy4+3tjStXrijvHR0ds4zO3bt3L8soXmbm5uawsbFRexEREREVNUU+sYuKioKTk5Py3sfHB+Hh4Wp19uzZA19fX303jYiIiEivCvVUbGJiIq5evaq8v3HjBqKjo2FnZ4cKFSogKCgId+7cwdq1awG8vuO1YsWKqFGjBlJSUrBu3TqEhYUhLCxMmceYMWPQrFkzfPXVV+jcuTO2bt2KvXv34vDhw3rvHxEREZE+FWpid/LkSfj5+SnvM65z69+/P0JCQhAXF4eYmBjl85SUFHz22We4c+cOLC0tUaNGDfzxxx/w9/dX6vj6+mLDhg2YOnUqpk2bBjc3N2zcuBGNGjXSWbvnRz3I03STvErrrA1EREREbyrUxK5FixYQkRw/DwkJUXs/YcIETJgw4a3zDQgIQEBAQH6bR0RERFSkFPlr7IiIiIjoNSZ2RERERAaCiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGgokdERERkYFgYkdERERkIJjYERERERkIJnZEREREBoKJHREREZGBYGJHREREZCCY2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGgokdERERkYFgYkdERERkIJjYERERERkIJnZEREREBoKJHREREZGBYGJHREREZCCY2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQg8pTYXbt2DVOnTkXPnj1x7949AMCuXbtw/vx5nTaOiIiIiDSndWIXEREBT09PHDt2DJs3b0ZiYiIA4MyZM5g+fbrOG0hEREREmtE6sZs0aRLmzJmD8PBwmJmZKeV+fn6IjIzUaeOIiIiISHNaJ3Znz55F165ds5Tb29vj4cOHOmkUEREREWlP68SuRIkSiIuLy1IeFRWFcuXK6aRRRERERKQ9rRO7Xr16YeLEiYiPj4dKpUJ6ejqOHDmCzz77DP369SuINhIRERGRBrRO7ObOnYsKFSqgXLlySExMhIeHB5o1awZfX19MnTq1INpIRERERBow0XYCU1NT/PLLL5g1axaioqKQnp4OLy8vVKlSpSDaR0REREQa0jqxy+Dm5gY3NzddtoWIiIiI8kHrU7Eigl9//RUjR45EQEAAPvjgA7WXNg4ePIhOnTqhbNmyUKlU2LJlS671N2/ejDZt2sDe3h42Njbw8fHB7t271eqEhIRApVJleb18+VLbrhIREREVKVondmPGjEHfvn1x48YNFCtWDLa2tmovbSQlJaF27dpYvny5RvUPHjyINm3aYOfOnfj777/h5+eHTp06ISoqSq2ejY0N4uLi1F4WFhZatY2IiIioqNH6VOy6deuwefNm+Pv75zt4hw4d0KFDB43rBwcHq73/8ssvsXXrVmzfvh1eXl5KuUqlgqOjY77bR0RERFSUaD1iZ2tri0qVKhVEW7SWnp6OZ8+ewc7OTq08MTERLi4uKF++PDp27JhlRI+IiIjIEGmd2M2YMQMzZ87EixcvCqI9Wlm0aBGSkpLQvXt3paxatWoICQnBtm3bEBoaCgsLCzRu3BhXrlzJcT7JyclISEhQexEREREVNVqfiv3www8RGhqKMmXKoGLFijA1NVX7/NSpUzprXG5CQ0MxY8YMbN26FWXKlFHKvb294e3trbxv3Lgx6tati2+++QbLli3Ldl7z5s3DzJkzC7zNRERERAVJ68RuwIAB+Pvvv9GnTx84ODhApVIVRLtytXHjRgwePBi//vorWrdunWtdIyMjNGjQINcRu6CgIAQGBirvExIS4OzsrLP2EhEREemD1ondH3/8gd27d6NJkyYF0Z63Cg0NxaBBgxAaGor33nvvrfVFBNHR0fD09Myxjrm5OczNzXXZTCIiIiK90zqxc3Z2ho2NjU6CJyYm4urVq8r7GzduIDo6GnZ2dqhQoQKCgoJw584drF27FsDrpK5fv35YunQpvL29ER8fDwCwtLRUHrUyc+ZMeHt7o0qVKkhISMCyZcsQHR2Nb7/9VidtJiIiInpXaX3zxKJFizBhwgTcvHkz38FPnjwJLy8v5VElgYGB8PLywhdffAEAiIuLQ0xMjFL/hx9+QGpqKj755BM4OTkprzFjxih1njx5gmHDhqF69epo27Yt7ty5g4MHD6Jhw4b5bi8RERHRu0zrEbs+ffrg+fPncHNzg5WVVZabJx49eqTxvFq0aAERyfHzkJAQtfcHDhx46zyXLFmCJUuWaNwGIiIiIkOhdWL35kOCiYiIiOjdoHVi179//4JoBxERERHlk0aJXUJCgnLDxNse3qurGyuIiIiISDsaJXYlS5ZEXFwcypQpgxIlSmT77DoRgUqlQlpams4bSURERERvp1Fi9+effyq/x7p///4CbRARERER5Y1GiV3z5s2V/7u6usLZ2TnLqJ2IIDY2VretIyIiIiKNaf0cO1dXV9y/fz9L+aNHj+Dq6qqTRhERERGR9rRO7DKupXtTYmIiLCwsdNIoIiIiItKexo87CQwMBACoVCpMmzYNVlZWymdpaWk4duwY6tSpo/MGEhEREZFmNE7soqKiALwesTt79izMzMyUz8zMzFC7dm189tlnum8hEREREWlE48Qu427YgQMHYunSpXxeHREREdE7RutfnlizZk1BtIOIiIiI8knrmyeIiIiI6N3ExI6IiIjIQDCxIyIiIjIQWid2SUlJBdEOIiIiIsonrRM7BwcHDBo0CIcPHy6I9hARERFRHmmd2IWGhuLp06do1aoVqlativnz5+Pu3bsF0TYiIiIi0oLWiV2nTp0QFhaGu3fvYsSIEQgNDYWLiws6duyIzZs3IzU1tSDaSURERERvkeebJ0qVKoVx48bh9OnTWLx4Mfbu3YuAgACULVsWX3zxBZ4/f67LdhIRERHRW2j9gOIM8fHxWLt2LdasWYOYmBgEBARg8ODBuHv3LubPn4+//voLe/bs0WVbiYiIiCgXWid2mzdvxpo1a7B79254eHjgk08+QZ8+fVCiRAmlTp06deDl5aXLdhIRERHRW2id2A0cOBAfffQRjhw5ggYNGmRbp1KlSpgyZUq+G0dEREREmtM6sYuLi4OVlVWudSwtLTF9+vQ8N4qIiIiItKf1zRNWVla4du0apk6dip49e+LevXsAgF27duH8+fM6byARERERaUbrxC4iIgKenp44duwYNm/ejMTERADAmTNnOEpHREREVIi0TuwmTZqEOXPmIDw8HGZmZkq5n58fIiMjddo4IiIiItKc1ond2bNn0bVr1yzl9vb2ePjwoU4aRURERETa0zqxK1GiBOLi4rKUR0VFoVy5cjppFBERERFpT+vErlevXpg4cSLi4+OhUqmQnp6OI0eO4LPPPkO/fv0Koo1EREREpAGtE7u5c+eiQoUKKFeuHBITE+Hh4YFmzZrB19cXU6dOLYg2EhEREZEGtH6OnampKX755RfMmjULUVFRSE9Ph5eXF6pUqVIQ7SMiIiIiDWmd2EVERKB58+Zwc3ODm5tbQbSJiIiIiPJA61Oxbdq0QYUKFTBp0iScO3euINpERERERHmgdWJ39+5dTJgwAYcOHUKtWrVQq1YtLFiwALdv3y6I9hERERGRhrRO7EqXLo1Ro0bhyJEjuHbtGnr06IG1a9eiYsWKaNmyZUG0kYiIiIg0oHVil5mrqysmTZqE+fPnw9PTExEREbpqFxERERFpKc+J3ZEjRzBy5Eg4OTmhV69eqFGjBnbs2KHVPA4ePIhOnTqhbNmyUKlU2LJly1uniYiIQL169WBhYYFKlSrh+++/z1InLCwMHh4eMDc3h4eHB37//Xet2kVERERUFGmd2E2ePBmurq5o2bIlbt26heDgYMTHx2PdunXo0KGDVvNKSkpC7dq1sXz5co3q37hxA/7+/mjatCmioqIwefJkjB49GmFhYUqdyMhI9OjRA3379sXp06fRt29fdO/eHceOHdOqbURERERFjdaPOzlw4AA+++wz9OjRA6VLl85X8A4dOmiVDH7//feoUKECgoODAQDVq1fHyZMnsXDhQnTr1g0AEBwcjDZt2iAoKAgAEBQUhIiICAQHByM0NDRf7SUiIiJ6l2k9Ynf06FF88skn+U7q8iIyMhJt27ZVK2vXrh1OnjyJV69e5Vrn6NGjemsnERERUWHQaMRu27Zt6NChA0xNTbFt27Zc677//vs6aVh24uPj4eDgoFbm4OCA1NRUPHjwAE5OTjnWiY+Pz3G+ycnJSE5OVt4nJCTotuFEREREeqBRYtelSxfEx8ejTJky6NKlS471VCoV0tLSdNW2HGNkJiJZyrOr82ZZZvPmzcPMmTN12EoiIiIi/dPoVGx6ejrKlCmj/D+nV0EndY6OjllG3u7duwcTExOUKlUq1zpvjuJlFhQUhKdPnyqv2NhY3TeeiIiIqIDl6zl2+ubj44Pw8HC1sj179qB+/fowNTXNtY6vr2+O8zU3N4eNjY3ai4iIiKio0ehU7LJlyzSe4ejRozWum5iYiKtXryrvb9y4gejoaNjZ2aFChQoICgrCnTt3sHbtWgDA8OHDsXz5cgQGBmLo0KGIjIzE6tWr1e52HTNmDJo1a4avvvoKnTt3xtatW7F3714cPnxY43YRERERFUUaJXZLlizRaGYqlUqrxO7kyZPw8/NT3gcGBgIA+vfvj5CQEMTFxSEmJkb53NXVFTt37sS4cePw7bffomzZsli2bJnyqBMA8PX1xYYNGzB16lRMmzYNbm5u2LhxIxo1aqRxu4iIiIiKIo0Suxs3bhRI8BYtWig3P2QnJCQkS1nz5s1x6tSpXOcbEBCAgICA/DaPiIiIqEjJ8zV2KSkpuHTpElJTU3XZHiIiIiLKI60Tu+fPn2Pw4MGwsrJCjRo1lFOlo0ePxvz583XeQCIiIiLSjNaJXVBQEE6fPo0DBw7AwsJCKW/dujU2btyo08YRERERkea0/q3YLVu2YOPGjfD29lZ76K+HhweuXbum08YRERERkea0HrG7f/++8rDizJKSknL9dQciIiIiKlhaJ3YNGjTAH3/8obzPSOZ+/PFH+Pj46K5lRERERKQVrU/Fzps3D+3bt8eFCxeQmpqKpUuX4vz584iMjERERERBtJGIiIiINKD1iJ2vry+OHDmC58+fw83NDXv27IGDgwMiIyNRr169gmgjEREREWlA6xE7APD09MTPP/+s67YQERERUT5olNglJCRoPEMbG5s8N4aIiIiI8k6jxK5EiRIa3/GalpaWrwYRERERUd5olNjt379f+f/NmzcxadIkDBgwQLkLNjIyEj///DPmzZtXMK0kIiIiorfSKLFr3ry58v9Zs2Zh8eLF6Nmzp1L2/vvvw9PTEytXrkT//v1130oiIiIieiut74qNjIxE/fr1s5TXr18fx48f10mjiIiIiEh7Wid2zs7O+P7777OU//DDD3B2dtZJo4iIiIhIe1o/7mTJkiXo1q0bdu/eDW9vbwDAX3/9hWvXriEsLEznDSQiIiIizWg9Yufv748rV66gc+fOePToER4+fIjOnTvj8uXL8Pf3L4g2EhEREZEG8vSA4vLly2Pu3Lm6bgsRERER5YPWI3ZERERE9G5iYkdERERkIJjYERERERkIJnZEREREBiJPiV1qair27t2LH374Ac+ePQMA3L17F4mJiTptHBERERFpTuu7Ym/duoX27dsjJiYGycnJaNOmDYoXL44FCxbg5cuX2T68mIiIiIgKntYjdmPGjEH9+vXx+PFjWFpaKuVdu3bFvn37dNo4IiIiItKc1iN2hw8fxpEjR2BmZqZW7uLigjt37uisYURERESkHa1H7NLT05GWlpal/Pbt2yhevLhOGkVERERE2tM6sWvTpg2Cg4OV9yqVComJiZg+fTp/UoyIiIioEGl9KnbJkiXw8/ODh4cHXr58iV69euHKlSsoXbo0QkNDC6KNRERERKQBrRO7smXLIjo6GqGhoTh16hTS09MxePBg9O7dW+1mCiIiIiLSL60TOwCwtLTEoEGDMGjQIF23h4iIiIjySOvEbtu2bdmWq1QqWFhYoHLlynB1dc13w4iIiIhIO1ondl26dIFKpYKIqJVnlKlUKjRp0gRbtmxByZIlddZQIiIiIsqd1nfFhoeHo0GDBggPD8fTp0/x9OlThIeHo2HDhtixYwcOHjyIhw8f4rPPPiuI9hIRERFRDrQesRszZgxWrlwJX19fpaxVq1awsLDAsGHDcP78eQQHB/P6OyIiIiI903rE7tq1a7CxsclSbmNjg+vXrwMAqlSpggcPHuS/dURERESkMa0Tu3r16uHzzz/H/fv3lbL79+9jwoQJaNCgAQDgypUrKF++vO5aSURERERvpfWp2NWrV6Nz584oX748nJ2doVKpEBMTg0qVKmHr1q0AgMTEREybNk3njSUiIiKinGk9Yufu7o6LFy9i69atGD16NEaNGoVt27bh/PnzqFq1KoDXd8727dtXo/mtWLECrq6usLCwQL169XDo0KEc6w4YMAAqlSrLq0aNGkqdkJCQbOu8fPlS264SERERFSl5ekCxSqVC+/bt0b59+3wF37hxI8aOHYsVK1agcePG+OGHH9ChQwdcuHABFSpUyFJ/6dKlmD9/vvI+NTUVtWvXxocffqhWz8bGBpcuXVIrs7CwyFdbiYiIiN51eUrskpKSEBERgZiYGKSkpKh9Nnr0aI3ns3jxYgwePBhDhgwBAAQHB2P37t347rvvMG/evCz1bW1tYWtrq7zfsmULHj9+jIEDB6rVU6lUcHR01KZLREREREWe1oldVFQU/P398fz5cyQlJcHOzg4PHjyAlZUVypQpo3Fil5KSgr///huTJk1SK2/bti2OHj2q0TxWr16N1q1bw8XFRa08MTERLi4uSEtLQ506dTB79mx4eXnlOJ/k5GQkJycr7xMSEjSKT0RERPQu0foau3HjxqFTp0549OgRLC0t8ddff+HWrVuoV68eFi5cqPF8Hjx4gLS0NDg4OKiVOzg4ID4+/q3Tx8XF4b///a8y2pehWrVqCAkJwbZt2xAaGgoLCws0btwYV65cyXFe8+bNU0YDbW1t4ezsrHE/iIiIiN4VWid20dHRGD9+PIyNjWFsbIzk5GQ4OztjwYIFmDx5stYNUKlUau8zfpbsbUJCQlCiRAl06dJFrdzb2xt9+vRB7dq10bRpU2zatAlVq1bFN998k+O8goKClF/RePr0KWJjY7XuBxEREVFh0/pUrKmpqZJ4OTg4ICYmBtWrV4etrS1iYmI0nk/p0qVhbGycZXTu3r17WUbx3iQi+Omnn9C3b1+YmZnlWtfIyAgNGjTIdcTO3Nwc5ubmGrediIiI6F2k9Yidl5cXTp48CQDw8/PDF198gV9++QVjx46Fp6enxvMxMzNDvXr1EB4erlYeHh6u9nNl2YmIiMDVq1cxePDgt8YREURHR8PJyUnjthEREREVRVondl9++aWSJM2ePRulSpXCiBEjcO/ePaxcuVKreQUGBmLVqlX46aefcPHiRYwbNw4xMTEYPnw4gNenSPv165dlutWrV6NRo0aoWbNmls9mzpyJ3bt34/r164iOjsbgwYMRHR2tzJOIiIjIUGl1KlZEYG9vrzwQ2N7eHjt37sxz8B49euDhw4eYNWsW4uLiULNmTezcuVO5yzUuLi7L6d2nT58iLCwMS5cuzXaeT548wbBhwxAfHw9bW1t4eXnh4MGDaNiwYZ7bSURERFQUaJ3YValSBefPn0eVKlV00oCRI0di5MiR2X4WEhKSpczW1hbPnz/PcX5LlizBkiVLdNI2IiIioqJEq1OxRkZGqFKlCh4+fFhQ7SEiIiKiPNL6GrsFCxbg888/x7lz5wqiPURERESUR1o/7qRPnz54/vw5ateuDTMzM1haWqp9/ujRI501joiIiIg0p3ViFxwcXADNICIiIqL80jqx69+/f0G0g4iIiIjySetr7ADg2rVrmDp1Knr27Il79+4BAHbt2oXz58/rtHFEREREpDmtE7uIiAh4enri2LFj2Lx5MxITEwEAZ86cwfTp03XeQCIiIiLSjNaJ3aRJkzBnzhyEh4er/U6rn58fIiMjddo4IiIiItKc1ond2bNn0bVr1yzl9vb2fL4dERERUSHSOrErUaIE4uLispRHRUWhXLlyOmkUEREREWlP68SuV69emDhxIuLj46FSqZCeno4jR47gs88+Q79+/QqijURERESkAa0Tu7lz56JChQooV64cEhMT4eHhgWbNmsHX1xdTp04tiDYSERERkQa0fo6dqakpfvnlF8yaNQtRUVFIT0+Hl5cXqlSpUhDtIyIiIiINaZ3YRUREoHnz5nBzc4Obm1tBtImIiIiI8kDrU7Ft2rRBhQoVMGnSJJw7d64g2kREREREeaB1Ynf37l1MmDABhw4dQq1atVCrVi0sWLAAt2/fLoj2EREREZGGtE7sSpcujVGjRuHIkSO4du0aevTogbVr16JixYpo2bJlQbSRiIiIiDSQp9+KzeDq6opJkyZh/vz58PT0REREhK7aRURERERaynNid+TIEYwcORJOTk7o1asXatSogR07duiybURERESkBa3vip08eTJCQ0Nx9+5dtG7dGsHBwejSpQusrKwKon1EREREpCGtE7sDBw7gs88+Q48ePVC6dGm1z6Kjo1GnTh1dtY2IiIiItKB1Ynf06FG190+fPsUvv/yCVatW4fTp00hLS9NZ44iIiIhIc3m+xu7PP/9Enz594OTkhG+++Qb+/v44efKkLttGRERERFrQasTu9u3bCAkJwU8//YSkpCR0794dr169QlhYGDw8PAqqjURERESkAY1H7Pz9/eHh4YELFy7gm2++wd27d/HNN98UZNuIiIiISAsaj9jt2bMHo0ePxogRI1ClSpWCbBMRERER5YHGI3aHDh3Cs2fPUL9+fTRq1AjLly/H/fv3C7JtRERERKQFjRM7Hx8f/Pjjj4iLi8PHH3+MDRs2oFy5ckhPT0d4eDiePXtWkO0kIiIiorfQ+q5YKysrDBo0CIcPH8bZs2cxfvx4zJ8/H2XKlMH7779fEG0kIiIiIg3k67di3d3dsWDBAty+fRuhoaG6ahMRERER5UG+ErsMxsbG6NKlC7Zt26aL2RERERFRHugksSMiIiKiwsfEjoiIiMhAMLEjIiIiMhBM7IiIiIgMBBM7IiIiIgPBxI6IiIjIQBR6YrdixQq4urrCwsIC9erVw6FDh3Kse+DAAahUqiyvf/75R61eWFgYPDw8YG5uDg8PD/z+++8F3Q0iIiKiQleoid3GjRsxduxYTJkyBVFRUWjatCk6dOiAmJiYXKe7dOkS4uLilFeVKlWUzyIjI9GjRw/07dsXp0+fRt++fdG9e3ccO3asoLtDREREVKgKNbFbvHgxBg8ejCFDhqB69eoIDg6Gs7Mzvvvuu1ynK1OmDBwdHZWXsbGx8llwcDDatGmDoKAgVKtWDUFBQWjVqhWCg4MLuDdEREREhavQEruUlBT8/fffaNu2rVp527ZtcfTo0Vyn9fLygpOTE1q1aoX9+/erfRYZGZllnu3atct1nsnJyUhISFB7ERERERU1hZbYPXjwAGlpaXBwcFArd3BwQHx8fLbTODk5YeXKlQgLC8PmzZvh7u6OVq1a4eDBg0qd+Ph4reYJAPPmzYOtra3ycnZ2zkfPiIiIiAqHSWE3QKVSqb0XkSxlGdzd3eHu7q689/HxQWxsLBYuXIhmzZrlaZ4AEBQUhMDAQOV9QkICkzsiIiIqcgptxK506dIwNjbOMpJ27969LCNuufH29saVK1eU946OjlrP09zcHDY2NmovIiIioqKm0BI7MzMz1KtXD+Hh4Wrl4eHh8PX11Xg+UVFRcHJyUt77+PhkmeeePXu0micRERFRUVSop2IDAwPRt29f1K9fHz4+Pli5ciViYmIwfPhwAK9Pkd65cwdr164F8PqO14oVK6JGjRpISUnBunXrEBYWhrCwMGWeY8aMQbNmzfDVV1+hc+fO2Lp1K/bu3YvDhw8XSh+JiIiI9KVQE7sePXrg4cOHmDVrFuLi4lCzZk3s3LkTLi4uAIC4uDi1Z9qlpKTgs88+w507d2BpaYkaNWrgjz/+gL+/v1LH19cXGzZswNSpUzFt2jS4ublh48aNaNSokd77R0RERKRPhX7zxMiRIzFy5MhsPwsJCVF7P2HCBEyYMOGt8wwICEBAQIAumkdERERUZBT6T4oRERERkW4wsSMiIiIyEEzsiIiIiAwEEzsiIiIiA8HEjoiIiMhAMLEjIiIiMhBM7IiIiIgMBBM7IiIiIgPBxI6IiIjIQDCxIyIiIjIQTOyIiIiIDAQTOyIiIiIDwcSOiIiIyEAwsSMiIiIyEEzsiIiIiAwEEzsiIiIiA8HEjoiIiMhAMLEjIiIiMhBM7IiIiIgMBBM7IiIiIgPBxI6IiIjIQDCxIyIiIjIQTOyIiIiIDAQTOyIiIiIDwcSOiIiIyEAwsSMiIiIyEEzsiIiIiAwEEzsiIiIiA8HEjoiIiMhAMLEjIiIiMhBM7IiIiIgMBBM7IiIiIgPBxI6IiIjIQDCxIyIiIjIQTOyIiIiIDAQTOyIiIiIDwcSOiIiIyEAUemK3YsUKuLq6wsLCAvXq1cOhQ4dyrLt582a0adMG9vb2sLGxgY+PD3bv3q1WJyQkBCqVKsvr5cuXBd0VIiIiokJVqIndxo0bMXbsWEyZMgVRUVFo2rQpOnTogJiYmGzrHzx4EG3atMHOnTvx999/w8/PD506dUJUVJRaPRsbG8TFxam9LCws9NElIiIiokJjUpjBFy9ejMGDB2PIkCEAgODgYOzevRvfffcd5s2bl6V+cHCw2vsvv/wSW7duxfbt2+Hl5aWUq1QqODo6FmjbiYiIiN41hTZil5KSgr///htt27ZVK2/bti2OHj2q0TzS09Px7Nkz2NnZqZUnJibCxcUF5cuXR8eOHbOM6BEREREZokJL7B48eIC0tDQ4ODiolTs4OCA+Pl6jeSxatAhJSUno3r27UlatWjWEhIRg27ZtCA0NhYWFBRo3bowrV67kOJ/k5GQkJCSovYiIiIiKmkI9FQu8Pm2amYhkKctOaGgoZsyYga1bt6JMmTJKube3N7y9vZX3jRs3Rt26dfHNN99g2bJl2c5r3rx5mDlzZh57QERERPRuKLQRu9KlS8PY2DjL6Ny9e/eyjOK9aePGjRg8eDA2bdqE1q1b51rXyMgIDRo0yHXELigoCE+fPlVesbGxmneEiIiI6B1RaImdmZkZ6tWrh/DwcLXy8PBw+Pr65jhdaGgoBgwYgPXr1+O99957axwRQXR0NJycnHKsY25uDhsbG7UXERERUVFTqKdiAwMD0bdvX9SvXx8+Pj5YuXIlYmJiMHz4cACvR9Lu3LmDtWvXAnid1PXr1w9Lly6Ft7e3MtpnaWkJW1tbAMDMmTPh7e2NKlWqICEhAcuWLUN0dDS+/fbbwukkERERkZ4UamLXo0cPPHz4ELNmzUJcXBxq1qyJnTt3wsXFBQAQFxen9ky7H374Aampqfjkk0/wySefKOX9+/dHSEgIAODJkycYNmwY4uPjYWtrCy8vLxw8eBANGzbUa9+IiIiI9K3Qb54YOXIkRo4cme1nGclahgMHDrx1fkuWLMGSJUt00DIiIiKioqXQf1KMiIiIiHSDiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGgokdERERkYFgYkdERERkIJjYERERERkIJnZEREREBoKJHREREZGBYGJHREREZCCY2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGgokdERERkYFgYkdERERkIJjYERERERkIJnZEREREBoKJHREREZGBYGJHREREZCCY2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGgokdERERkYFgYkdERERkIJjYERERERkIJnZEREREBoKJHREREZGBYGJHREREZCCY2BEREREZCCZ2RERERAai0BO7FStWwNXVFRYWFqhXrx4OHTqUa/2IiAjUq1cPFhYWqFSpEr7//vssdcLCwuDh4QFzc3N4eHjg999/L6jmExEREb0zCjWx27hxI8aOHYspU6YgKioKTZs2RYcOHRATE5Nt/Rs3bsDf3x9NmzZFVFQUJk+ejNGjRyMsLEypExkZiR49eqBv3744ffo0+vbti+7du+PYsWP66hYRERFRoSjUxG7x4sUYPHgwhgwZgurVqyM4OBjOzs747rvvsq3//fffo0KFCggODkb16tUxZMgQDBo0CAsXLlTqBAcHo02bNggKCkK1atUQFBSEVq1aITg4WE+9IiIiIiochZbYpaSk4O+//0bbtm3Vytu2bYujR49mO01kZGSW+u3atcPJkyfx6tWrXOvkNE8iIiIiQ2FSWIEfPHiAtLQ0ODg4qJU7ODggPj4+22ni4+OzrZ+amooHDx7Ayckpxzo5zRMAkpOTkZycrLx/+vQpACAhISHb+i8Tn+XcsVwkJJjlabq8xNNnLH3HY990E0vf8dg33cTKa7yisBzzGo99000sfcdj3zSPlZGPiMjbZyKF5M6dOwJAjh49qlY+Z84ccXd3z3aaKlWqyJdffqlWdvjwYQEgcXFxIiJiamoq69evV6uzbt06MTc3z7Et06dPFwB88cUXX3zxxRdf7+wrNjb2rflVoY3YlS5dGsbGxllG0u7du5dlxC2Do6NjtvVNTExQqlSpXOvkNE8ACAoKQmBgoPI+PT0djx49QqlSpaBSqTTuU0JCApydnREbGwsbGxuNp8srfcYz1Fj6jse+Fc147FvRjMe+Fc147FtWIoJnz56hbNmyb61baImdmZkZ6tWrh/DwcHTt2lUpDw8PR+fOnbOdxsfHB9u3b1cr27NnD+rXrw9TU1OlTnh4OMaNG6dWx9fXN8e2mJubw9zcXK2sRIkS2nZJYWNjo5eNsTDiGWosfcdj34pmPPataMZj34pmPPZNna2trUb1Ci2xA4DAwED07dsX9evXh4+PD1auXImYmBgMHz4cwOuRtDt37mDt2rUAgOHDh2P58uUIDAzE0KFDERkZidWrVyM0NFSZ55gxY9CsWTN89dVX6Ny5M7Zu3Yq9e/fi8OHDhdJHIiIiIn0p1MSuR48eePjwIWbNmoW4uDjUrFkTO3fuhIuLCwAgLi5O7Zl2rq6u2LlzJ8aNG4dvv/0WZcuWxbJly9CtWzeljq+vLzZs2ICpU6di2rRpcHNzw8aNG9GoUSO994+IiIhInwo1sQOAkSNHYuTIkdl+FhISkqWsefPmOHXqVK7zDAgIQEBAgC6apxVzc3NMnz49y2ldQ4hnqLH0HY99K5rx2LeiGY99K5rx2Lf8UYlocu8sEREREb3rCv23YomIiIhIN5jYERERERkIJnZEREREBoKJHREREZGBYGJHREQ6kZ6eXthNMAi8p1F3/heXJRO7d5S+N0Z9HpD1ffAv6GUZExODM2fOAADS0tIKNJa+FWbfDPmAXND7gL7X26NHjwAARkb6/UrRx7FEn8vy6dOnAKDVT1nqij73N32st8Jalu/CHzdM7HKRsaGnpqYWeKwnT57g1q1b+OeffwC83hgLcgO5d+8ezp07hyNHjkBECvSArM9YgH6X5fnz51GxYkXl11KMjY0LJE6Gf/75B19//TWSkpIKNA6g/77pc73dvHkTq1evxqxZs3Dt2rUC/1KLj4/HqVOncPDgQaSnpxfoPqDv9Xbu3Dm0b98eq1evLtA4gP6PJfpcltHR0QgICMCFCxcKLEZm+tzf9Ln9A/pdlvrum0aEsnXu3Dnx9/eXx48fi4jIq1evCizW2bNnpUmTJlKlShWpXLmy9O7du8BiiYicPn1a3N3dpXbt2uLi4iIeHh7yxx9/yNOnT4t0LBH9LsuoqCixtraWJk2aSPXq1WXPnj0FFis9PV0SExPF1dVVVCqVBAUFSXJycoHF02ffRPS73s6cOSNly5aVpk2bioODg5QvX17u3LlTYPFOnz4tbm5u4ubmJvb29uLh4SHbt2+XJ0+e6DyWvtfb+fPnpUSJEvL555/LjRs3CjSWvo8l+lyW0dHRYmpqKp9//nmWz9LS0nQeT5/7mz63fxH9Lkt9901TTOyycf36deULtF69ekpyl5qaqvNYFy9elFKlSsmECRMkPDxcVq1aJZ6enrJs2TKdxxIRuXXrllSoUEFmzJghV65ckZiYGGndurWUKVNGFi5cKA8ePCiSsUT0uyyjo6PFyspKpk+fLklJSeLq6iqjR4/WeZw3jRgxQoYOHSpWVlby6aefSlJSktrn6enp+Y6h777pc73dvn1bKleuLLNnz1aWnZubm6xfv17nsURE4uPjxc3NTSZPniwXLlyQy5cvS9euXcXFxUUWLlwoDx8+1Fksfa+3lJQU6d27twwbNkxEXm97J0+elM2bN8u9e/fkxYsXOoul72OJPpfl2bNnxcrKSqZMmaKUPX78WG7fvl0g8fS5v+lz+xfR77LUd9+0wcTuDUlJSTJ69Gjp1q2bbNy4Uby9vaVWrVoFktw9ffpUOnfuLJ988olS9vLlS+nWrZv07dtXZ3EyCwsLkxYtWsizZ8+UvmzevFksLCzE3d1dVq1aJSK6SRD0GUufy/Ly5cuiUqnUDh7ff/+9lC5dWo4dO6bTWBky/tLs06ePLF68WPbu3SumpqYyfvx4ERFZtWqVxMbG5juOvvum731g9+7dUrduXbUDfadOnWTu3LkyatQo2blzp/z77786i3fq1Clxc3OTCxcuqJWPGTNGqlSpIitWrNDJyGthbJMvXryQBg0aSFhYmIiItGrVSmrVqiXFihWTChUqyNy5c3W2LPV5LNHnsvz333/F1tZW/Pz8lLJhw4ZJo0aNpGLFiuLn5ydXrlzRWTx972/62v5F9L8s9dk3bb0DJ4PfLVZWVqhZsya6deuG7t27Y+HChbCyskLz5s3x5MkTGBsb6+wC2pcvX8LOzg6NGzcG8PqiS3Nzc3To0AGxsbEQEbx69UqpLzq4DujatWu4fPkyihUrplwvUqxYMfTq1Qvu7u6YOnUqkpKSdHLBqT5j6XNZPnr0CN9++y3mzJmjlPn4+KBMmTI4dOgQAN1fZJ2xjPz9/XHv3j20atUKv//+O7755htUrVoVX3/9tU6uj9F33/S9D8THx+PKlSvKxf6LFi3Crl27cPHiRURFRWH06NH4+eefddbHp0+f4vHjxzAxef2z3M+fPwcABAcHw8/PD3PmzMHt27cB5K9vjx8/LpRtskSJElCpVJg6dSpMTEwQGhqKf//9F71790ZoaCj++OMPAPm/oFyfxxJ97gNlypRB27Zt8fTpU6xevRre3t64ceMG+vTpg9mzZyMpKQnt2rVDfHw8gPxv//re3/S1/QP6X5b67JvWCiWdfEdl99deamqqHDx4MMvI3fPnz+X69et5Omf/4MEDuXfvniQnJ8vJkyezxF+5cqV4e3vn2Kb8uHDhglSsWFHGjRsn//77r5w4cUKsra1l0aJFIiJSqVIl+eGHH/I8/8zXIhZ0rMzxXrx4IX///bdSXpDLMvM6zzzP0aNHi6OjoyQmJuokTnYxtmzZIl5eXkob/Pz8xNjYWD766COd9C/z+tNH354/f673faB+/fpSqlQpadeunZiZmaldOzVu3DhxdXWVR48e6SRWWlqa1KhRQzp37qyUvXz5Uvm/l5eXDBo0KM/zf/DgQZZTPgW53t681rhbt25St25dGThwoKxbt07ts4EDB4qXl5dO4urjWJJBH/v3m98bvXv3FmNjY+nSpYvcu3dPKU9KShJ3d3fldHd+vXz5Um/HSZHX/fTw8Ciw7T9D5jNp+lqWBb1v5wdH7AAkJibi6dOnePbsmVp5eno6jI2N0aRJE3z11VfKyN29e/cwYcIE9OvXDy9fvtQq1vnz59GoUSMcOnQIZmZmqFu3rhIr81+bGX8RqlQqjBs3Dh988EE+e/mas7MzAgMDsXnzZtSqVQutWrXC0KFDERgYiLS0NJibmyujGdq6ePEihgwZgjt37hR4rMzxbt++DQsLiwJdlvfv38eJEydw+vRptXWe+U6yjz/+GMWKFUNISAiA/P2V9vz5c6Snp+Ply5dKX0QElSpVQpkyZWBkZITBgwfj8uXL+Prrr7F9+3YMHToUKSkpeY714sUL5a/PDAXZtxcvXsDS0hL16tUD8Pruc12vt6SkJLx69QovXrxQyk6cOIG1a9eib9++8PX1ha+vr/J5mzZtYG5unue7jjOOJQkJCQBeP/5j/vz5iI6OxujRowEA5ubmynqqX78+EhMT8xQr41hy4MABAP+/Tgpqm3xz/wZej3i+fPkSISEhyr6cEaNdu3YwNzdHcnKy1rFiY2Nx/PhxZRsoX758gR5L9Ll/nz9/HhMmTMDLly+V/q1btw6TJ09Gz549YW9vr9S1srJCpUqVlNGgvMjcNyMjowI9TmY+bgGvt/8FCxbg1KlTOt/+gf/f3zLvrwW1LPW5b+dboaST75Dz589Ly5YtxcvLS8qUKSO7du0Skf//qyXzvwcPHpTGjRuLiYmJWFtba329RXR0tNjY2Ii5ubl4e3vneOfMhg0bpGHDhiIiEhQUJFZWVhIZGal13y5duiS7d+9W2p/Rl+TkZLlz546Eh4fLX3/9pdRPSEiQ1q1bS2hoqDKNps6cOSOlS5eWwYMHy/nz55XyFy9eyJ07d2T37t06i5VbvDfXmy6W5ZkzZ6R69eri6ekpKpVKpk2blm17X716Je3atZPWrVtrNf83nT17Vlq3bi0tWrSQqlWrynfffafccZiamiotW7aUqlWrioODg/LX96ZNm8TBwUHi4+N1Fkvk/5ejPvqWOZ4u1tvZs2elWbNm0qBBA3F1dZXly5erXQ8TEhIitWrVUptm7Nix0qRJkzzdaZnTseTRo0eycOFCqVq1qgwdOlRtmt69e0v//v0lNTVVq31A02OJrtZbTvtbcnKyhIWFScWKFaVOnTpy7tw55bqi0aNHS7t27bS+ieLOnTtSvHhxqVOnjhw9elQZjXn58qXOj1sZfdPX/h0dHS0mJiYyZ84cpSzzdViZR3xEXu/vXbt2Verrqm9vzkdX+1vmfXvFihVy+/ZtSU1NlUWLFknlypV1tv2L5Ly/ZXjz+rb8LEt97tu68D+d2J09e1ZKliwpY8aMkU2bNsnQoUPF3t5enj17JiL/P1ye8e+LFy/kvffeEzs7Ozl37pxWsaKjo8XS0lKCgoJk+/btUqlSJTl8+LCIZL0hY+3atdKyZUv54osvxMzMTG3oXFOXL18WCwsLUalU8uuvv4qIZLtDZ3jx4oUEBQVJ2bJl5ebNm1rFevTokdStW1dGjRqllCUmJkpcXJzOY+UWL7ukJr/L8urVq+Lg4CATJ06UmzdvyrfffitGRkZZ7rLKOEV16tQpMTIyUr5ktHX58mWxt7eXsWPHyqZNm+SLL74QlUol3bp1U7aXPn36SMOGDbP0JWO71UWso0ePKvUyts+C7FvmeCL5X2/Xr1+XkiVLyqhRoyQkJESCgoKkXLly0qtXL4mIiBARkdjYWClVqpR06NBBli9fLh9//LHY2dnJ6dOnte5bdseS0qVLKwniv//+KytWrBAnJyepU6eODB06VHr16iXW1tYFdizJOG7ld71psn/v2rVLKleuLM7OztK6dWv54IMPpESJEnlallevXpXq1auLo6OjVK1aVSIjI3O8CD2/xxJ97t+nT58WKyurLI/hyOmY/OrVK5k2bZo4OTnJ1atXtY6nad9E8r+/5bRvd+3aVU6fPi0pKSny3Xff6WT7F3n7d/ebyzQ/y1Kf+7au/M8mdrGxseLl5SUTJkxQyo4fPy6dO3eW+Ph4uXfvntrG8erVK5k/f76YmZlJVFSUVrFOnjwpJiYmyl1W6enp4uHhIQEBAdnW/+GHH0SlUomtra3a9Ueaevz4sQQEBEi3bt3k008/FSMjI9m4caMSO7v29e7dWxwdHeXUqVNax7t165b4+vrKgwcPJC0tTT744ANp3LixWFtby8iRI2Xfvn1K3RMnTuQrlibx/vzzT6Xu999/n69lOXXqVOnYsaNamb+/vxw9elSOHj2aZbQpNjZWunfvLtevX89T38aMGSMfffSRWln//v3F0tJSunXrJteuXZN79+7l6UtMm1gffvhhloN7QfbtzXj53QcWL14sTZs2VSvbvHmzNG7cWD744ANltH3Pnj1St25d8fLyko4dO8rZs2e1jpXbsSQuLk7tD45r167JgAEDJCAgQAYMGKD1gV/bY0lG+/Kz3nLa36ysrGTEiBFy8OBBEXk9QjJz5kwZM2aMTJo0SS5evKh1rPT0dHn06JH06dNH7t27Jz4+PuLu7q5sG5mPGfk9bonob//O+EOjV69eIvI66Z4zZ47069dPOnToIDt27FC7dm/fvn0SEBAgZcqU0Uvf8nuczGnftrCwkG7duikj5deuXZOBAwfmefsX0ey7O7P8LEt97tu69D+b2B0+fFiGDBkit27dUsqmTp0qxYsXlxo1aoidnZ1MnDhR7a/SNWvWZLm1WRNBQUEybtw4Efn/v6jXrVsnrq6uykExs+PHj4uPj0+evmREXm9gY8aMke3bt8uzZ89k0qRJYmRkJBs2bBCR7JO71atX5/lW8NOnT0vZsmXl4sWL8sEHH0i7du1k27Ztsnz5cvHz8xN/f3+1L+01a9bk67ZzbeLld1mOHj1aOnTooFxMP3v2bFGpVNKgQQNxcHCQdu3aKSNAGZ4/f57nvgUEBCiPIkhISBARkTlz5kjbtm2latWqEhQUJCK6ucA5t1ju7u5K8pD5Qu+C6lvmeCL5X28LFy4UT09PSUhIUGv/jh07pF69ejJq1ChlFCg9PV0SEhLy3DdNjiUTJkzIMoKdl0cnaXssyZCf9fa2/a1Dhw5y/PjxPM8/O61bt5YDBw5ISkqK1K1bVzw8PKRDhw7SpEkTtQQov8cSfe3f27dvl/Lly8uYMWPk5MmT4ufnJ35+fhIQECAffPCBGBsby9y5cyUlJUVevHghhw8flrFjx+bp+0abvh04cEBE8r+/vW3fnjx5cpZp8vroMG2+u1NSUvK1LPW5b+vS/2xiJyJqf7GsXr1ajI2NZc2aNXLx4kVZs2aNWFhYyJYtW/IdJ7uVfPnyZSlbtmy25/sTExOVu2/zKvPB7unTpzJx4sQspxBSU1N18hDFmJgYqVmzpqxYsUK6d++udg3OgQMHxMPDQ3nOlC5oE+/Zs2f5WpYrVqwQa2trCQgIkN69e4upqals3rxZEhMTJTIyUpo2bSqTJk0SEd081XzcuHHi5OSkfHnFxcVJyZIlJTw8XL777juxsrLSyfPqREQCAwP1FktEu77ldx/YsGGDWFhYKKMPmU/l/fzzz2JqaionTpzIe2fekHkER9NjSV6S8+ymye1Ykl/p6ely69Ytjfe3N69x1VbGsbJ3794ya9Yspbx06dJibGwsISEhee1KtvS5f69fv17q1q0rjo6O0rFjR/n333+VU7yLFy8WMzMzZUQpPT1dUlJS9Na3hISEfO1vbzuWWFpaZjmW5Gc71eS7+/fffxeR1+stP8syL3mCvq+pe9P/ZGL35g6anJwsGzduzHKxaJ06ddSuK9F13C+//FLs7e3zdMpC0xgZnj17piR3GSN348ePl/nz5+f7AJIxL5VKJWZmZlm+MDt37izdu3fPdwxt4+lq51q+fLksWLBAPvzwQxk+fLjaZwMGDJAmTZro7Kdqrl69Kk2bNhVzc3Np3769WFlZKRflPnjwQMqVK6dcT5VXGW29du1agcfKLOOUnr7ivf/+++Ls7Kw8JDfzhekeHh7y1Vdf5Xne6enp2f7Bpq9jyZt0eSzJrm+BgYEFsn/ntBx//PFH5eHbAwYMECcnJ6levbrUrFlTDh48qNOfhlqxYkWB7N/Z9W39+vXy/vvvZxnhTEtLE0dHR1m8eLH2HciFJseu/Pxcpr6PJfr87i6sPEEXTN5+36xhuHfvHszMzFCiRIksP9JrZmaGgIAApTw9PR1PnjxBqVKlUL9+fa1jXbp0CT/88APu3r2LOnXqoG3btqhbty6MjIzUfiS4VatW+M9//oPDhw+jWrVqSEtLy9OPTOfWtwzFihXD1KlTAQD9+/fHDz/8gAMHDiAqKgqmpqZ5igVAafPcuXPx7Nkz/Pjjj9i3bx+qVKkCW1tbAK9vM3d3d9e6X/mNp+3DSt9cby1btkTDhg3xySefAADGjh0LS0tLAK8fdZAx/5o1a+bpx59v3LiBLVu24Pbt22jQoAE++ugjuLm5ISwsDGvXrkVKSgr69OmD3r17AwBiYmJgZWWl9FMb2W0jlSpVwu+//46QkBCdxgLUl2Xt2rXh7++P2rVrY8+ePVi+fDnS09N1Fu/N9da6dWvUr18fS5YsQa9eveDt7Y2IiAg4OzsDeP2QVmtra5QuXTpPfbt8+TJWrFiBq1evKttHqVKlAOj+WPLm9p8TXR1L3uzb8OHDUaZMGcydOxeJiYk63b9zW452dnb4+++/0bt3b+zbtw9Hjx5FpUqV4ObmhvHjxyMiIkLZFzWVeX9r2LAhevToAQAYMWIEAN3u3zktx549e6JOnTpwdXVVqx8TEwNHR0dUr15dqz5lyM+xS1v6Ppbo87tbn7EKVCEnlnpx4cIFMTMzk4CAgBwfY/Dm6M60adOkSpUqWv+w9fnz58XW1lY6duwoffr0EUdHR2natKnyIE0R9VOzffr0kYoVK2oVIzNN+pbZgwcPpHr16nm6++9tsW7fvi39+vUTExMTGTVqlHz11Vcybtw4sbOzy9P1DfqMl9N6+/rrr5U6s2bNEmtrazl48KAcPXpUpk+fLnZ2dmqnpjR15swZKV++vLRu3Vp8fX3FyMhI5s+fn+s0EyZMkDp16sj9+/e1iqXtNpKfWCLZL8smTZqojUa8+ddwXuPlFCs4OFhERM6dOydNmzYVW1tbWbFihaxbt04mTpwodnZ2ebrT8MyZM1KmTBkJCAiQjz/+WMzMzGTGjBlqdd7sW16PJdqut/weS97Wt9jYWOnbt69O9re3xbpx44ZUrlxZqlatmuWC97zcBJLd/rZgwQK1OnPnztXJ/q3JNvKmKVOmiKenp9y5c0frvunz2KXvY4k+v7v1GaugGXxiFxcXJ40bN5ZWrVpJ6dKl5cMPP8x1g9yzZ498+umnUqJECa3voElOTpZ+/frJ4MGDlbJbt27J8OHDpW7dumrPLsoY/t6/f7/UrFlT7t69q2XPtO9bWlqajBs3TlQqlZw5c6bAYi1cuFDatWsnderUkY4dO0p0dLRWsfQd723rLeNan/T0dOnevbsYGRlJ1apVpU6dOnnq282bN6Vy5coyYcIEJclfvXq1ODo6yuXLl7PUP3jwoHz66adSvHhxre/IfttyfPNAlZ9YIpovS13Eyy1WnTp1lEQ5KSlJxo4dK9WqVRN3d3fx8fHJ052G165dk4oVKyo3sIiIzJgxQ0aOHJnt5Qz5OZZos/1nJJL5OZbk1rc3HzXy1Vdf5Wt/02Q5pqeny2+//aaWMOb1lGFu+9uVK1eUfeDFixfy0Ucf5Wv/1nYb2bVrl4wcOVJKlChRoPubLo5d+j6W6PO7W5+x9MHgE7tdu3ZJz5495fjx43Ls2DGxs7PLcaU9e/ZMvv32W2nZsmWe7w5q3bq18jMiGRv63bt3ZezYseLt7Z3lZ3cSEhLy/EPZ2vRN5PVf3MOHD8/TTqZJrMw79rNnzyQ5OTnPd+PpO5426+3gwYNy9uzZPK+3+fPnS7t27dQeKnv27FlxdnaWf/75J0v9Q4cOyYgRI/J0+7y228jBgwfzHCuDNsvy8OHD+YqXW6yGDRvKL7/8otS9c+eOPH78OMeH+b7N119/LcOHD1dbdkOGDBEfHx9p0KCBDB8+XLZt2yYir5PJFStW5PlYou16E8nfseRtffv444/VLhBPTEzM8/72tlhDhw5V+5m3/NJ2f4uIiMjz/q3tNhIcHCze3t5a/6Gdmb6OXfo+lujzu1vfeUJBM9jELjY2Vs6dOyfPnj2T/fv3K+WRkZHKSsvpAK/tgT82Nla5oHjgwIHStWtXefHihaSnpyt/Td+6dUs6dOgg77//vjJdXi/u17ZvmeNoeyDWNlZ+LsTVdzxt1lunTp3yHCdzvIsXL8rx48eVu9EypKWliaurq1qfM9P26f3aLsfMpw+1jZURLy/7QF7iFcb+dunSJbl//77ahdOzZ88WY2NjmTJliixbtkwaNGggrVq1Up5tlZKSkqdjSV73bX30LeNUYV7iahOrZcuWOT7gXJt4ed3f8hIrL9vIy5cv83Q3qj6PXYVxLNHnd7e+YumTQSZ2586dE2dn5yzPe8rY4P766y+1jDwlJUW+/fZb5ee38hIrMDBQRET27t0rRkZGsnTpUqVORtzjx4+LSqXK04hZfvq2YsWKLD+3UpCx8vrXtj7jFfZ6y5h35sdDVKpUSa0ve/fu1fonwrKLVZDbSOZ4+liWhbHeypcvn2VZPnjwQMaOHSv//e9/lboXLlwQlUolO3fuzHMsfe9v2vYtc9m7GisjXl72tzcfbqtpLH1tIxnx9L2/6ftYos/vbn3E0jeDS+yio6PFyspKXF1dxdHRURlyfvMvzIzh1u7du8vAgQPF1NRU64upM8dycHBQrm35+uuvxcjISH788Ue1+hcuXJAaNWrIpUuXilTfCjpWYfbtXVhvr169ksTERKlcubLyG5hBQUGiUqm0vpi6MNdbQS/Ld2W9ZUhKShIRUUZJzp07J/Xq1cvTabV3ZX/TZ98KIlZu8fS5v+mjb/rc3wz5O0AffdM3g0rsMn5DcfLkyXL//n2pUaOGzJkzJ8ffSD18+LCoVCqxs7PT+rfxsos1e/ZsSU9Pl8TERJk5c6aoVCqZMmWKnDx5Uu7fvy+TJk2SSpUq5WkUprD7VlCx3oW+FfZ6S0tLkxcvXoibm5ucPHlSuYNN26f5vwvrraCW5bu03jL+sn9zmU6ZMkUaNWqk9ajPu7DeCqNvuo71tnj63N/01Td97m+G/B1QkH0rDAaT2J0+fVrMzc2Vny5JS0uTgIAAadCggVIn80pLTk6W4cOHS/HixbW+5TunWPXr11fqpKWlydq1a8XR0VHKli0r1apVk3LlyuXpDpp3oW8FEetd6VthrrfMvLy8pEGDBtk+BFYXsfSx3gpiWb6L6y3zsjx//rxMnTpVbGxstH6E0Luy3t6FvuUnlqbxMtPn/lZQfdPn/vaubJNF6futsBhMYnf8+HGZNm2aiPz/OfJ//vlHeX5VdvU9PT3z9BuHucX69ttv1ereuHFDIiIiZM+ePXL79m2tY70tnj77putY+o73rq63tLQ0efjwodja2oqpqWmeTtO8S+tN18vyXV1vIq8fpdG1a1epUaNGnh598y6tt8LsW35jaRNP3/tbQfdNn/tbYW+T+Y2n774VFpWISGE/JLkgiAgSEhIwYMAAmJmZYf369TAyMlKeuJ2YmIhXr16hZMmSOo/1yy+/QKVSQaVSaf1rBHmJp8++FWQsfcd7F9ZbRjyVSoVff/0VHh4eqFGjRoHE0ud6K8hl+S6st8zL8sKFC7CxsUH58uULPJa+9zd99k2XsXKKV1j7W0H3TZ/7W2Fvk0X5+01v9JlFFoawsDBRqVQ6/Q3KdyGWvuOxbwUXryB/MLqw+2YosfQdj30ruHjc3979WPqOp+++FTSDHbHLkJKSgk6dOsHe3h4//vij1r8v+K7G0nc89q1oxmPfimY89q1oxmPfimY8ffetoOn+vMU7xszMDH5+fti+fTuePn1qMLH0HY99K5rx2LeiGY99K5rx2LeiGU/ffStwhT1kWJAyhtwfPXok9erVK9Af6tVnLH3HY9+KZjz2rWjGY9+KZjz2rWjG03ff9MHgT8UCry+QfP78OaytrQ0qlr7jsW9FMx77VjTjsW9FMx77VjTj6btvBel/IrEjIiIi+l9g8NfYEREREf2vYGJHREREZCCY2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQgmNgRERERGQgmdkREREQGgokdERmMAQMGQKVSQaVSwcTEBBUqVMCIESPw+PFjncxfpVJhy5YtOpmXPhXVdhOR9pjYEZFBad++PeLi4nDz5k2sWrUK27dvx8iRIwu7WVp79epVYTeBiIogJnZEZFDMzc3h6OiI8uXLo23btujRowf27NmjfL5mzRpUr14dFhYWqFatGlasWKF8lpKSglGjRsHJyQkWFhaoWLEi5s2bBwCoWLEiAKBr165QqVTK+2vXrqFz585wcHBAsWLF0KBBA+zdu1etTdmNmJUoUQIhISEAgJs3b0KlUmHTpk1o0aIFLCwssG7dOjx8+BA9e/ZE+fLlYWVlBU9PT4SGhqrNp0WLFhg9ejQmTJgAOzs7ODo6YsaMGcrnObWbiAwTEzsiMljXr1/Hrl27YGpqCgD48ccfMWXKFMydOxcXL17El19+iWnTpuHnn38GACxbtgzbtm3Dpk2bcOnSJaxbt05JhE6cOAHgdWIYFxenvE9MTIS/vz/27t2LqKgotGvXDp06dUJMTIzW7Z04cSJGjx6Nixcvol27dnj58iXq1auHHTt24Ny5cxg2bBj69u2LY8eOqU33888/w9raGseOHcOCBQswa9YshIeH59puIjJQQkRkIPr37y/GxsZibW0tFhYWAkAAyOLFi0VExNnZWdavX682zezZs8XHx0dERD799FNp2bKlpKenZzt/APL777+/tR0eHh7yzTff5Dqdra2trFmzRkREbty4IQAkODj4rfP29/eX8ePHK++bN28uTZo0UavToEEDmThxotbtJqKiz6Qwk0oiIl3z8/PDd999h+fPn2PVqlW4fPkyPv30U9y/fx+xsbEYPHgwhg4dqtRPTU2Fra0tgNc3X7Rp0wbu7u5o3749OnbsiLZt2+YaLykpCTNnzsSOHTtw9+5dpKam4sWLF3kasatfv77a+7S0NMyfPx8bN27EnTt3kJycjOTkZFhbW6vVq1Wrltp7Jycn3Lt3T+v4RFT0MbEjIoNibW2NypUrA3h9atXPzw8zZ87EqFGjALw+HduoUSO1aYyNjQEAdevWxY0bN/Df//4Xe/fuRffu3dG6dWv89ttvOcb7/PPPsXv3bixcuBCVK1eGpaUlAgICkJKSotRRqVQQEbXpsrs54s2EbdGiRViyZAmCg4Ph6ekJa2trjB07Vm3eAJRTzZnjpaen59hmIjJcTOyIyKBNnz4dHTp0wIgRI1CuXDlcv34dvXv3zrG+jY0NevTogR49eiAgIADt27fHo0ePYGdnB1NTU6SlpanVP3ToEAYMGICuXbsCeH3N3c2bN9Xq2NvbIy4uTnl/5coVPH/+/K1tP3ToEDp37ow+ffoAANLT03HlyhVUr15d0+4DQLbtJiLDxMSOiAxaixYtUKNGDXz55ZeYMWMGRo8eDRsbG3To0AHJyck4efIkHj9+jMDAQCxZsgROTk6oU6cOjIyM8Ouvv8LR0RElSpQA8PoO03379qFx48YwNzdHyZIlUblyZWzevBmdOnWCSqXCtGnTsoyWtWzZEsuXL4e3tzfS09MxceLELKNs2alcuTLCwsJw9OhRlCxZEosXL0Z8fLzWiV127SYiw8S7YonI4AUGBuLHH39Eu3btsGrVKoSEhMDT0xPNmzdHSEgIXF1dAQDFihXDV199hfr166NBgwa4efMmdu7cCSOj14fKRYsWITw8HM7OzvDy8gIALFmyBCVLloSvry86deqEdu3aoW7dumrxFy1aBGdnZzRr1gy9evXCZ599Bisrq7e2e9q0aahbty7atWuHFi1awNHREV26dNG6/9m1m4gMk0revPCDiIiIiIokjtgRERERGQgmdkREREQGgokdERERkYFgYkdERERkIJjYERERERkIJnZEREREBoKJHREREZGBYGJHREREZCCY2BEREREZCCZ2RERERAaCiR0RERGRgWBiR0RERGQg/g9HN/FsbOX+3AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "restaurant_delivery_time.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Which 20 restaurants has lowest average delivey time?')\n",
    "plt.xlabel('Restaurant')\n",
    "plt.ylabel('Average delivey time')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "7d48ce2e-6e47-4415-a122-023c75df9eeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "restaurant_delivery_count.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Which 20 restaurant has most customers?')\n",
    "plt.xlabel('Restaurant')\n",
    "plt.ylabel('Total customer')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "c7e3c81b-0f2e-4c3d-a9dd-ee23da4f6a08",
   "metadata": {},
   "outputs": [],
   "source": [
    "restaurant_avg_order = df.groupby('Restaurant ID').agg({'sales':'sum','Customer ID': 'count'})\n",
    "restaurant_avg_order.rename(columns={'Customer ID': 'Number of customer'}, inplace=True)\n",
    "restaurant_avg_order['Average order value'] = restaurant_avg_order['sales'] / restaurant_avg_order['Number of customer']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "94db74d4-2f91-4abd-9804-eb5d48cabdb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sales</th>\n",
       "      <th>Number of customer</th>\n",
       "      <th>Average order value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restaurant ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7098</th>\n",
       "      <td>18508.18</td>\n",
       "      <td>136</td>\n",
       "      <td>136.089559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7165</th>\n",
       "      <td>24258.86</td>\n",
       "      <td>196</td>\n",
       "      <td>123.769694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7061</th>\n",
       "      <td>17287.94</td>\n",
       "      <td>140</td>\n",
       "      <td>123.485286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7360</th>\n",
       "      <td>20348.31</td>\n",
       "      <td>168</td>\n",
       "      <td>121.120893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7067</th>\n",
       "      <td>21271.90</td>\n",
       "      <td>176</td>\n",
       "      <td>120.863068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7322</th>\n",
       "      <td>12078.30</td>\n",
       "      <td>100</td>\n",
       "      <td>120.783000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7284</th>\n",
       "      <td>18815.99</td>\n",
       "      <td>156</td>\n",
       "      <td>120.615321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7139</th>\n",
       "      <td>19691.70</td>\n",
       "      <td>164</td>\n",
       "      <td>120.071341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7170</th>\n",
       "      <td>21097.89</td>\n",
       "      <td>176</td>\n",
       "      <td>119.874375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7303</th>\n",
       "      <td>21536.86</td>\n",
       "      <td>180</td>\n",
       "      <td>119.649222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7323</th>\n",
       "      <td>23648.24</td>\n",
       "      <td>200</td>\n",
       "      <td>118.241200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7196</th>\n",
       "      <td>25535.78</td>\n",
       "      <td>216</td>\n",
       "      <td>118.221204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7202</th>\n",
       "      <td>17401.68</td>\n",
       "      <td>148</td>\n",
       "      <td>117.578919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7141</th>\n",
       "      <td>18711.07</td>\n",
       "      <td>160</td>\n",
       "      <td>116.944187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7178</th>\n",
       "      <td>19338.76</td>\n",
       "      <td>168</td>\n",
       "      <td>115.111667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7373</th>\n",
       "      <td>16106.04</td>\n",
       "      <td>140</td>\n",
       "      <td>115.043143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7183</th>\n",
       "      <td>26689.72</td>\n",
       "      <td>232</td>\n",
       "      <td>115.041897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7353</th>\n",
       "      <td>15157.19</td>\n",
       "      <td>132</td>\n",
       "      <td>114.827197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7030</th>\n",
       "      <td>16979.78</td>\n",
       "      <td>148</td>\n",
       "      <td>114.728243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7096</th>\n",
       "      <td>24719.22</td>\n",
       "      <td>216</td>\n",
       "      <td>114.440833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  sales  Number of customer  Average order value\n",
       "Restaurant ID                                                   \n",
       "7098           18508.18                 136           136.089559\n",
       "7165           24258.86                 196           123.769694\n",
       "7061           17287.94                 140           123.485286\n",
       "7360           20348.31                 168           121.120893\n",
       "7067           21271.90                 176           120.863068\n",
       "7322           12078.30                 100           120.783000\n",
       "7284           18815.99                 156           120.615321\n",
       "7139           19691.70                 164           120.071341\n",
       "7170           21097.89                 176           119.874375\n",
       "7303           21536.86                 180           119.649222\n",
       "7323           23648.24                 200           118.241200\n",
       "7196           25535.78                 216           118.221204\n",
       "7202           17401.68                 148           117.578919\n",
       "7141           18711.07                 160           116.944187\n",
       "7178           19338.76                 168           115.111667\n",
       "7373           16106.04                 140           115.043143\n",
       "7183           26689.72                 232           115.041897\n",
       "7353           15157.19                 132           114.827197\n",
       "7030           16979.78                 148           114.728243\n",
       "7096           24719.22                 216           114.440833"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurant_avg_order.sort_values('Average order value', ascending=False).head(20)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "c46f19af-d151-4dcb-b799-44d3c5d344d3",
   "metadata": {},
   "source": [
    "<h3 style=\"color:lightskyblue\">Insight:</h3>\n",
    "<h4>Different restaurants are performing top in different metrics. So taking average order value as key metric. Restaurant 7098 has the highest average order value. </h4> >"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8baa689-b1af-4d0e-b742-d77712a573bd",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "### Delivery Area  Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "afb34824-4159-4999-b74e-1136bb03f57c",
   "metadata": {},
   "outputs": [],
   "source": [
    "area_sales = df.groupby(['Delivery Area']).agg({'sales':'sum'}).sort_values('sales', ascending=False)\n",
    "area_delivery_time = df.groupby(['Delivery Area']).agg({'time_taken_to_deliver':'mean'}).sort_values('time_taken_to_deliver')\n",
    "area_delivery_count  = df.groupby(['Delivery Area']).agg({'Customer ID':'count'}).sort_values('Customer ID', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a82395cc-0af1-4874-a32f-9052d354c45f",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "area_sales.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('Which is the breakdown of city by revenue?')\n",
    "plt.xlabel('City')\n",
    "plt.ylabel('Sales')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66167b36-7bc6-403a-9c09-6d2067a65d86",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "area_delivery_time.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('What is the breakdown of city by average delivery time?')\n",
    "plt.xlabel('City')\n",
    "plt.ylabel('Average delivery time')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4955d186-e941-4efd-a225-3390725b04b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(20, 8))\n",
    "area_delivery_count.plot(kind='bar', color='skyblue',legend=False)\n",
    "plt.title('What is the breakdown of city by number of customer?')\n",
    "plt.xlabel('City')\n",
    "plt.ylabel('Total Customer')\n",
    "plt.xticks(rotation=45, ha='right') \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "55d933af-e1c9-48f1-89e3-fd3dfd0e40f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "area_avg_order = df.groupby('Delivery Area').agg({'sales':'sum','Customer ID': 'count'})\n",
    "area_avg_order.rename(columns={'Customer ID': 'Number of customer'}, inplace=True)\n",
    "area_avg_order['Average order value'] = area_avg_order['sales'] / area_avg_order['Number of customer']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63362098-415c-4f22-b5a6-94030c144820",
   "metadata": {},
   "outputs": [],
   "source": [
    "area_avg_order.sort_values('Average order value', ascending=False).head(20)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "de7a8328-5f03-4cfc-99f5-65aa11eb0784",
   "metadata": {},
   "source": [
    "<h3 style=\"color:lightskyblue\">Insight:</h3>\n",
    "<h4>All cities have almost similar performance by different metrics.\n",
    "</h4>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "7851852e-2d6f-4b45-b782-ecfa79165f45",
   "metadata": {},
   "source": [
    "<h3 style=\"color:lightskyblue\">RECOMMENDATION</h3>\n",
    "<li>Optimize delivery times through route planning and driver training.</li>\n",
    "<li>Implement a driver mentorship program based on high-performing drivers' practices.</li>\n",
    "<li>Partner closely with high-value restaurants to increase average order values.</li>\n",
    "<li>Encourage upselling and combo meals to increase average order values.</li>\n",
    "<li>Optimize discount strategies to maximize sales while minimizing revenue loss.</li>\n",
    "<li>Analyze and address refund patterns to minimize revenue loss.\n",
    "</liBla</Develop city-specific marketing strategies to boost local performance.\n",
    "<li>Bla</Enhance customer loyalty programs with personalized, tiered rewards.\n",
    "<li>Bla</li>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c46b035-2ab8-421d-b41f-a260e0c557f5",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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