zomato-data-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7fa1bc5f-9428-4fd9-bc0e-a427c80aaaa5",
   "metadata": {},
   "source": [
    "**Importing necessary libraries**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6f92abbe-9713-4aab-a41f-50704b5a48f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90711c1b-f32f-433d-b7a4-0d04215cfe1b",
   "metadata": {},
   "source": [
    "**Reading Data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "976fa665-b993-41ab-ab2e-f8cb65e1e467",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                      name online_order book_table   rate  votes  \\\n",
      "0                    Jalsa          Yes        Yes  4.1/5    775   \n",
      "1           Spice Elephant          Yes         No  4.1/5    787   \n",
      "2          San Churro Cafe          Yes         No  3.8/5    918   \n",
      "3    Addhuri Udupi Bhojana           No         No  3.7/5     88   \n",
      "4            Grand Village           No         No  3.8/5    166   \n",
      "..                     ...          ...        ...    ...    ...   \n",
      "143       Melting Melodies           No         No  3.3/5      0   \n",
      "144        New Indraprasta           No         No  3.3/5      0   \n",
      "145           Anna Kuteera          Yes         No  4.0/5    771   \n",
      "146                 Darbar           No         No  3.0/5     98   \n",
      "147          Vijayalakshmi          Yes         No  3.9/5     47   \n",
      "\n",
      "     approx_cost(for two people) listed_in(type)  \n",
      "0                            800          Buffet  \n",
      "1                            800          Buffet  \n",
      "2                            800          Buffet  \n",
      "3                            300          Buffet  \n",
      "4                            600          Buffet  \n",
      "..                           ...             ...  \n",
      "143                          100          Dining  \n",
      "144                          150          Dining  \n",
      "145                          450          Dining  \n",
      "146                          800          Dining  \n",
      "147                          200          Dining  \n",
      "\n",
      "[148 rows x 7 columns]\n"
     ]
    }
   ],
   "source": [
    "df=pd.read_csv(\"Zomato data .csv\")\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6e3dd05d-5140-44c4-8537-9bed056804b7",
   "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>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>listed_in(type)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1/5</td>\n",
       "      <td>775</td>\n",
       "      <td>800</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1/5</td>\n",
       "      <td>787</td>\n",
       "      <td>800</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8/5</td>\n",
       "      <td>918</td>\n",
       "      <td>800</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7/5</td>\n",
       "      <td>88</td>\n",
       "      <td>300</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8/5</td>\n",
       "      <td>166</td>\n",
       "      <td>600</td>\n",
       "      <td>Buffet</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Melting Melodies</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.3/5</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>Dining</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>New Indraprasta</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.3/5</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>Dining</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Anna Kuteera</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.0/5</td>\n",
       "      <td>771</td>\n",
       "      <td>450</td>\n",
       "      <td>Dining</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Darbar</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.0/5</td>\n",
       "      <td>98</td>\n",
       "      <td>800</td>\n",
       "      <td>Dining</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>Vijayalakshmi</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.9/5</td>\n",
       "      <td>47</td>\n",
       "      <td>200</td>\n",
       "      <td>Dining</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>148 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      name online_order book_table   rate  votes  \\\n",
       "0                    Jalsa          Yes        Yes  4.1/5    775   \n",
       "1           Spice Elephant          Yes         No  4.1/5    787   \n",
       "2          San Churro Cafe          Yes         No  3.8/5    918   \n",
       "3    Addhuri Udupi Bhojana           No         No  3.7/5     88   \n",
       "4            Grand Village           No         No  3.8/5    166   \n",
       "..                     ...          ...        ...    ...    ...   \n",
       "143       Melting Melodies           No         No  3.3/5      0   \n",
       "144        New Indraprasta           No         No  3.3/5      0   \n",
       "145           Anna Kuteera          Yes         No  4.0/5    771   \n",
       "146                 Darbar           No         No  3.0/5     98   \n",
       "147          Vijayalakshmi          Yes         No  3.9/5     47   \n",
       "\n",
       "     approx_cost(for two people) listed_in(type)  \n",
       "0                            800          Buffet  \n",
       "1                            800          Buffet  \n",
       "2                            800          Buffet  \n",
       "3                            300          Buffet  \n",
       "4                            600          Buffet  \n",
       "..                           ...             ...  \n",
       "143                          100          Dining  \n",
       "144                          150          Dining  \n",
       "145                          450          Dining  \n",
       "146                          800          Dining  \n",
       "147                          200          Dining  \n",
       "\n",
       "[148 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7906e378-ffd0-4052-ad67-225bf43cc1fe",
   "metadata": {},
   "source": [
    "**Data cleaning & preprocessing**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fe420cb4-932b-48d1-b71f-1e998f72a3be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    name online_order book_table  rate  votes  \\\n",
      "0                  Jalsa          Yes        Yes   4.1    775   \n",
      "1         Spice Elephant          Yes         No   4.1    787   \n",
      "2        San Churro Cafe          Yes         No   3.8    918   \n",
      "3  Addhuri Udupi Bhojana           No         No   3.7     88   \n",
      "4          Grand Village           No         No   3.8    166   \n",
      "\n",
      "   approx_cost(for two people) listed_in(type)  \n",
      "0                          800          Buffet  \n",
      "1                          800          Buffet  \n",
      "2                          800          Buffet  \n",
      "3                          300          Buffet  \n",
      "4                          600          Buffet  \n"
     ]
    }
   ],
   "source": [
    "def handleRate(value):\n",
    "    value = str(value).split('/')\n",
    "    value = value[0]\n",
    "    return float(value)\n",
    "df['rate']=df['rate'].apply(handleRate)\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b0715ddf-cee0-4281-9d69-dfe044acb62c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 148 entries, 0 to 147\n",
      "Data columns (total 7 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   name                         148 non-null    object \n",
      " 1   online_order                 148 non-null    object \n",
      " 2   book_table                   148 non-null    object \n",
      " 3   rate                         148 non-null    float64\n",
      " 4   votes                        148 non-null    int64  \n",
      " 5   approx_cost(for two people)  148 non-null    int64  \n",
      " 6   listed_in(type)              148 non-null    object \n",
      "dtypes: float64(1), int64(2), object(4)\n",
      "memory usage: 8.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "35c5db3f-10e3-4fb3-8638-63667c1833fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>name</th>\n",
       "      <th>online_order</th>\n",
       "      <th>book_table</th>\n",
       "      <th>rate</th>\n",
       "      <th>votes</th>\n",
       "      <th>approx_cost(for two people)</th>\n",
       "      <th>listed_in(type)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jalsa</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4.1</td>\n",
       "      <td>775</td>\n",
       "      <td>800</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Spice Elephant</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>4.1</td>\n",
       "      <td>787</td>\n",
       "      <td>800</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>San Churro Cafe</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>918</td>\n",
       "      <td>800</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Addhuri Udupi Bhojana</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>300</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Grand Village</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>3.8</td>\n",
       "      <td>166</td>\n",
       "      <td>600</td>\n",
       "      <td>Buffet</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    name online_order book_table  rate  votes  \\\n",
       "0                  Jalsa          Yes        Yes   4.1    775   \n",
       "1         Spice Elephant          Yes         No   4.1    787   \n",
       "2        San Churro Cafe          Yes         No   3.8    918   \n",
       "3  Addhuri Udupi Bhojana           No         No   3.7     88   \n",
       "4          Grand Village           No         No   3.8    166   \n",
       "\n",
       "   approx_cost(for two people) listed_in(type)  \n",
       "0                          800          Buffet  \n",
       "1                          800          Buffet  \n",
       "2                          800          Buffet  \n",
       "3                          300          Buffet  \n",
       "4                          600          Buffet  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "12e8fd47-9aea-4be6-a338-33f4f2e19581",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'typeofresturant')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=df['listed_in(type)'])\n",
    "plt.xlabel(\"typeofresturant\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9738e4e3-0b97-4bed-9653-7c35ac88b775",
   "metadata": {},
   "source": [
    "***The above graph shows that majority of the people falls in the dinning category***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "04dc5fc4-57bc-4b60-931e-754d3fd33167",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'No. of votes')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_data = df.groupby('listed_in(type)')['votes'].sum()\n",
    "result=pd.DataFrame({'votes':grouped_data})\n",
    "plt.plot(result, c=\"green\", marker=\"o\")\n",
    "plt.xlabel(\"Type of restaurant\", c=\"red\", size=20)\n",
    "plt.ylabel(\"No. of votes\", c=\"red\", size=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "771698f1-bad8-4189-bbc3-10921b555d8d",
   "metadata": {},
   "source": [
    "***This graph concludes that dinnig restaurants have recieved max. votes***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f664bcef-a1a8-4a03-b769-50454398455f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsMq/rQsA0HT9099q6xIAwGuc+QAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVzQofmZmZcjgcWrBggXussrJSKSkpioyMVEhIiJKTk1VcXNzcOgEAQAfR5PBx8OBB/epXv1JcXJzH+MKFC7V9+3Zt27ZN2dnZOnv2rKZOndrsQgEAQMfQpPBx4cIFzZgxQ+vWrVN4eLh7vLS0VOvXr9ezzz6rcePGadiwYdqwYYP27dun3NzcFisaAAD4riaFj5SUFCUlJSkhIcFjPC8vT1VVVR7jAwcOVL9+/ZSTk1Pnvlwul8rKyjxuAACg4/L39gFbtmzR4cOHdfDgwVrbioqKFBgYqLCwMI/xqKgoFRUV1bm/jIwMLVu2zNsyAACAj/LqzEdhYaHmz5+v1157TcHBwS1SwKJFi1RaWuq+FRYWtsh+AQBA++RV+MjLy9O5c+d0yy23yN/fX/7+/srOztaqVavk7++vqKgoXbp0SSUlJR6PKy4uVnR0dJ37DAoKUmhoqMcNAAB0XF697TJ+/HgdO3bMY2z27NkaOHCgnnzySfXt21cBAQHKyspScnKyJCk/P19nzpxRfHx8y1UNAAB8llfho1u3brrppps8xrp27arIyEj3+Jw5c5SWlqaIiAiFhoZq7ty5io+P16hRo1quagAA4LO8vuC0IStXrpSfn5+Sk5PlcrmUmJioNWvWtPTTAAAAH+Uwxpi2LuJKZWVlcjqdKi0t5foPoAH9099q6xKAFnU6M6mtS0ATefPzm7/tAgAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKu8Ch9r165VXFycQkNDFRoaqvj4eO3YscO9vbKyUikpKYqMjFRISIiSk5NVXFzc4kUDAADf5VX46NOnjzIzM5WXl6dDhw5p3Lhxmjx5so4fPy5JWrhwobZv365t27YpOztbZ8+e1dSpU1ulcAAA4JscxhjTnB1ERETo6aef1v33368ePXpo06ZNuv/++yVJn3zyiQYNGqScnByNGjWqUfsrKyuT0+lUaWmpQkNDm1Ma0OH1T3+rrUsAWtTpzKS2LgFN5M3P7yZf83H58mVt2bJFFRUVio+PV15enqqqqpSQkOCeM3DgQPXr1085OTnX3I/L5VJZWZnHDQAAdFz+3j7g2LFjio+PV2VlpUJCQvTmm29q8ODBOnLkiAIDAxUWFuYxPyoqSkVFRdfcX0ZGhpYtW+Z14Wjf+I0cAHAtXp/5uPHGG3XkyBHt379fjz/+uGbOnKmPP/64yQUsWrRIpaWl7lthYWGT9wUAANo/r898BAYG6vrrr5ckDRs2TAcPHtTzzz+vBx98UJcuXVJJSYnH2Y/i4mJFR0dfc39BQUEKCgryvnIAAOCTmv09H9XV1XK5XBo2bJgCAgKUlZXl3pafn68zZ84oPj6+uU8DAAA6CK/OfCxatEiTJk1Sv379VF5erk2bNmnPnj1655135HQ6NWfOHKWlpSkiIkKhoaGaO3eu4uPjG/1JFwAA0PF5FT7OnTunf/3Xf9Xnn38up9OpuLg4vfPOO7rrrrskSStXrpSfn5+Sk5PlcrmUmJioNWvWtErhAADANzX7ez5aGt/z0THwaRcATcH3fPguK9/zAQAA0BSEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGCVV+EjIyNDt956q7p166aePXtqypQpys/P95hTWVmplJQURUZGKiQkRMnJySouLm7RogEAgO/yKnxkZ2crJSVFubm52r17t6qqqjRhwgRVVFS45yxcuFDbt2/Xtm3blJ2drbNnz2rq1KktXjgAAPBN/t5M3rlzp8f9jRs3qmfPnsrLy9Mdd9yh0tJSrV+/Xps2bdK4ceMkSRs2bNCgQYOUm5urUaNGtVzlAADAJzXrmo/S0lJJUkREhCQpLy9PVVVVSkhIcM8ZOHCg+vXrp5ycnDr34XK5VFZW5nEDAAAdV5PDR3V1tRYsWKDbbrtNN910kySpqKhIgYGBCgsL85gbFRWloqKiOveTkZEhp9PpvvXt27epJQEAAB/Q5PCRkpKijz76SFu2bGlWAYsWLVJpaan7VlhY2Kz9AQCA9s2raz5qpKam6k9/+pP27t2rPn36uMejo6N16dIllZSUeJz9KC4uVnR0dJ37CgoKUlBQUFPKAAAAPsirMx/GGKWmpurNN9/Ue++9p9jYWI/tw4YNU0BAgLKystxj+fn5OnPmjOLj41umYgAA4NO8OvORkpKiTZs26Q9/+IO6devmvo7D6XSqc+fOcjqdmjNnjtLS0hQREaHQ0FDNnTtX8fHxfNIFAABI8jJ8rF27VpI0duxYj/ENGzZo1qxZkqSVK1fKz89PycnJcrlcSkxM1Jo1a1qkWAAA4Pu8Ch/GmAbnBAcHa/Xq1Vq9enWTiwIAAB0Xf9sFAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWEDwAAYBXhAwAAWEX4AAAAVhE+AACAVYQPAABgFeEDAABYRfgAAABWET4AAIBVhA8AAGAV4QMAAFhF+AAAAFb5t3UBAADU6J/+VluX8K1wOjOpTZ+fMx8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKzyOnzs3btX99xzj3r37i2Hw6Hf//73HtuNMVq8eLF69eqlzp07KyEhQSdOnGipegEAgI/zOnxUVFRo6NChWr16dZ3bV6xYoVWrVunFF1/U/v371bVrVyUmJqqysrLZxQIAAN/n7+0DJk2apEmTJtW5zRij5557Tk899ZQmT54sSfr1r3+tqKgo/f73v9dDDz3UvGoBAIDPa9FrPgoKClRUVKSEhAT3mNPp1MiRI5WTk1PnY1wul8rKyjxuAACg4/L6zEd9ioqKJElRUVEe41FRUe5tV8vIyNCyZctasox69U9/y9pzAQCA2tr80y6LFi1SaWmp+1ZYWNjWJQEAgFbUouEjOjpaklRcXOwxXlxc7N52taCgIIWGhnrcAABAx9Wi4SM2NlbR0dHKyspyj5WVlWn//v2Kj49vyacCAAA+yutrPi5cuKCTJ0+67xcUFOjIkSOKiIhQv379tGDBAi1fvlwDBgxQbGysfvrTn6p3796aMmVKS9YNAAB8lNfh49ChQ7rzzjvd99PS0iRJM2fO1MaNG/XjH/9YFRUVevTRR1VSUqLRo0dr586dCg4ObrmqAQCAz3IYY0xbF3GlsrIyOZ1OlZaWtsr1H3zaBQDwbXc6M6nF9+nNz+82/7QLAAD4diF8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKsIHwAAwCrCBwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKtaLXysXr1a/fv3V3BwsEaOHKkDBw601lMBAAAf0irh4/XXX1daWpqWLFmiw4cPa+jQoUpMTNS5c+da4+kAAIAPaZXw8eyzz+r73/++Zs+ercGDB+vFF19Uly5d9Morr7TG0wEAAB/i39I7vHTpkvLy8rRo0SL3mJ+fnxISEpSTk1Nrvsvlksvlct8vLS2VJJWVlbV0aZKkatfFVtkvAAC+ojV+xtbs0xjT4NwWDx9ffvmlLl++rKioKI/xqKgoffLJJ7XmZ2RkaNmyZbXG+/bt29KlAQAASc7nWm/f5eXlcjqd9c5p8fDhrUWLFiktLc19v6SkRDExMTpz5kyDxfuqsrIy9e3bV4WFhQoNDW3rcloc/fm+jt5jR+9P6vg90l/7Y4xReXm5evfu3eDcFg8f3bt3V6dOnVRcXOwxXlxcrOjo6Frzg4KCFBQUVGvc6XT6zAveVKGhoR26R/rzfR29x47en9Txe6S/9qWxJw1a/ILTwMBADRs2TFlZWe6x6upqZWVlKT4+vqWfDgAA+JhWedslLS1NM2fO1PDhwzVixAg999xzqqio0OzZs1vj6QAAgA9plfDx4IMP6osvvtDixYtVVFSkf/zHf9TOnTtrXYRal6CgIC1ZsqTOt2I6io7eI/35vo7eY0fvT+r4PdKfb3OYxnwmBgAAoIXwt10AAIBVhA8AAGAV4QMAAFhF+AAAAFYRPgAAgFWtGj4yMjJ06623qlu3burZs6emTJmi/Pz8eh+zceNGORwOj1twcLDHHGOMFi9erF69eqlz585KSEjQiRMnWrOVOjWlv7Fjx9bqz+FwKCkpyT1n1qxZtbZPnDixtdup09q1axUXF+f+lr34+Hjt2LGj3sds27ZNAwcOVHBwsG6++Wa9/fbbHtvby/GTvO9v3bp1uv322xUeHq7w8HAlJCTowIEDHnPa0/GTvO/Rl9ag5H1/vrYGr5aZmSmHw6EFCxbUO8+X1uGVGtOfL67DKzWmR19bh95q1fCRnZ2tlJQU5ebmavfu3aqqqtKECRNUUVFR7+NCQ0P1+eefu2+ffvqpx/YVK1Zo1apVevHFF7V//3517dpViYmJqqysbM12amlKf7/73e88evvoo4/UqVMnPfDAAx7zJk6c6DFv8+bNrd1Onfr06aPMzEzl5eXp0KFDGjdunCZPnqzjx4/XOX/fvn2aPn265syZo//5n//RlClTNGXKFH300UfuOe3l+Ene97dnzx5Nnz5d77//vnJyctS3b19NmDBB//u//+sxr70cP8n7HiXfWYOS9/352hq80sGDB/WrX/1KcXFx9c7ztXVYo7H9+eI6rNHYHiXfWodeMxadO3fOSDLZ2dnXnLNhwwbjdDqvub26utpER0ebp59+2j1WUlJigoKCzObNm1uyXK81pr+rrVy50nTr1s1cuHDBPTZz5kwzefLkVqiwZYSHh5uXX365zm3Tpk0zSUlJHmMjR440P/jBD4wx7fv41aivv6t98803plu3bubVV191j7X342dM/T368hqs4c0x9JU1WF5ebgYMGGB2795txowZY+bPn3/Nub64Dr3p72q+sg696bEjrMP6WL3mo7S0VJIUERFR77wLFy4oJiZGffv2rfUbTEFBgYqKipSQkOAeczqdGjlypHJyclqn8EZqbH9XWr9+vR566CF17drVY3zPnj3q2bOnbrzxRj3++OM6f/58i9baFJcvX9aWLVtUUVFxzb/Tk5OT43FsJCkxMdF9bNrz8WtMf1e7ePGiqqqqah3z9nj8pMb36KtrsCnH0FfWYEpKipKSkmqtr7r44jr0pr+r+co69LZHX12HjdEqX69el+rqai1YsEC33XabbrrppmvOu/HGG/XKK68oLi5OpaWleuaZZ/Td735Xx48fV58+fVRUVCRJtb6qPSoqyr2tLTS2vysdOHBAH330kdavX+8xPnHiRE2dOlWxsbE6deqU/u3f/k2TJk1STk6OOnXq1Brl1+vYsWOKj49XZWWlQkJC9Oabb2rw4MF1zi0qKqr32LTH4+dNf1d78skn1bt3b49/ANrb8ZO869EX12BTj6GvrMEtW7bo8OHDOnjwYKPm+9o69La/q/nCOvS2R19ch16xdYrlscceMzExMaawsNCrx126dMl85zvfMU899ZQxxpgPPvjASDJnz571mPfAAw+YadOmtVi93mpKf48++qi5+eabG5x36tQpI8m8++67zSmxyVwulzlx4oQ5dOiQSU9PN927dzfHjx+vc25AQIDZtGmTx9jq1atNz549jTHt8/h509+VMjIyTHh4uPnwww/rndfWx8+YpvdojG+swab25wtr8MyZM6Znz54e/581dMrel9ZhU/q7ki+sw+b2aIxvrENvWHnbJTU1VX/605/0/vvvq0+fPl49NiAgQP/0T/+kkydPSpKio6MlScXFxR7ziouL3dtsa0p/FRUV2rJli+bMmdPg3Ouuu07du3d3vwa2BQYG6vrrr9ewYcOUkZGhoUOH6vnnn69zbnR0dL3Hpj0eP2/6q/HMM88oMzNTu3btavDCsbY+flLTeqzhC2uwKf35yhrMy8vTuXPndMstt8jf31/+/v7Kzs7WqlWr5O/vr8uXL9d6jC+tw6b0V8NX1mFzeqzhC+vQG60aPowxSk1N1Ztvvqn33ntPsbGxXu/j8uXLOnbsmHr16iVJio2NVXR0tLKystxzysrKtH///ka/x9tSmtPftm3b5HK59M///M8Nzv3ss890/vx592vQ1qqrq+VyuercFh8f73FsJGn37t3uY9Oejt+11Nef9PcrzH/+859r586dGj58eIP7a2/HT2q4xyu15zV4LY3pz1fW4Pjx43Xs2DEdOXLEfRs+fLhmzJihI0eO1PkWgi+tw6b0J/nWOmxqj1fyxXVYr9Y8rfL4448bp9Np9uzZYz7//HP37eLFi+45//Iv/2LS09Pd95ctW2beeecdc+rUKZOXl2ceeughExwc7HEKNTMz04SFhZk//OEP5ujRo2by5MkmNjbWfP31163ZTov0V2P06NHmwQcfrDVeXl5unnjiCZOTk2MKCgrMu+++a2655RYzYMAAU1lZ2ar91CU9Pd1kZ2ebgoICc/ToUZOenm4cDofZtWuXMaZ2fx988IHx9/c3zzzzjPnLX/5ilixZYgICAsyxY8fcc9rL8WtKf5mZmSYwMNC88cYbHse8vLzcGNP+jl9TevSlNdiU/mr4yhqsy9Wn7H19HV6tof58cR1eraEefW0deqtVw4ekOm8bNmxwzxkzZoyZOXOm+/6CBQtMv379TGBgoImKijJ33323OXz4sMd+q6urzU9/+lMTFRVlgoKCzPjx401+fn5rtlKnpvRnjDGffPKJkeT+x/FKFy9eNBMmTDA9evQwAQEBJiYmxnz/+983RUVFrdxN3b73ve+ZmJgYExgYaHr06GHGjx/vUXdd/W3dutXccMMNJjAw0AwZMsS89dZbHtvby/Ezxvv+YmJi6jzmS5YsMca0v+NnjPc9+tIaNKZp/4/60hqsy9U/uHx9HV6tof58cR1eraEefW0desthjDH2zrMAAIBvO/62CwAAsIrwAQAArCJ8AAAAqwgfAADAKsIHAACwivABAACsInwAAACrCB8AAMAqwgcAALCK8AEAAKwifAAAAKv+Hy0Dq0SxDrBFAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['rate'],bins=5)\n",
    "plt.title(\"ratings distribution\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d1885fd-32dc-442f-93a1-a0f577cb2fcf",
   "metadata": {},
   "source": [
    "***This graph concludes that the ratings recieved by the resturants are b/w from 3.5 to 4***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "976e11f0-05bd-4f8b-ae97-06ee7363c3a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='approx_cost(for two people)', ylabel='count'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "working_proff=df['approx_cost(for two people)']\n",
    "sns.countplot(x=working_proff)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78b40f06-0dc7-4a9c-b312-c86262c82e7d",
   "metadata": {},
   "source": [
    "***This graph concludes that max. people prefer to order with in range from Rs 300-500***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a57ca7f8-5b62-4413-a0d8-4ed4fb1066c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='online_order', ylabel='rate'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6,6))\n",
    "sns.boxplot(x='online_order', y='rate', data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20ba2b0c-fc72-4c10-a8b8-74fa8fe825a9",
   "metadata": {},
   "source": [
    "***This garph concludes that offline order recieved lower ratigns & online order recieved higher ratings***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b79e6815-2cd7-4ebc-aed7-240cad79e455",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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x2ZfIzs7Oho2NDeLj4187tWFra6tRn1wim6h4rJEgKqpUaiSClkjSz43T+ldnJvvbP62trXH48GF4e3trVWxJRESk91gjoVve3t64d+/ea/d7eHD+kIiISB/pRSLh5eX1xqU/WSNBRERlGostdevChQtqn/Pz83HhwgV89913mD59ukxRERERSUPk1IZu1a1bt0hbYGAg3Nzc8M0336BLly4yREVERCQRw80j9HuwpUaNGoiNjZU7DCIiInoNvRiRyMrKUvssiiLu37+PSZMmoVq1ajJFRUREJBEjwx2S0ItEws7OrkixpSiKcHd3x4YNG2SKioiISCKskdCtQ4cOqSUSRkZGcHR0RNWqVbm2BBERkR7Ti7/Svr6+KF++PAAgJSUFK1asQG5uLjp27IhmzZrJHB0REdE7MtwBCXmLLS9fvgwvLy84OTnBx8cHFy9eRIMGDTB37lwsX74c7733HrZv3y5niERERO/OSJBm00OyJhJjxoyBr68vjh07hpYtW+KDDz5Ahw4dkJmZiSdPnmDgwIGYOXOmnCESERHRG8j60q4KFSrg0KFD8PPzU728KzY2FgEBAQCA69evo3HjxsjIyNCoX760i6h4fGkXUVGl8dKuam1WSdJPwsG+kvQjJVlrJNLT0+Hi4gLg5cu7rKysYG9vr9pvb2+Pp0+fyhUeERGRNPRzVkISsi9I9c/HPt/0zg0iIiLSL7I/tdG7d28oFAoAwPPnzzFo0CBYWVkBAJRKpZyhERERSUNPCyWlIGsiERERofb5008/LXLMZ599VlrhEBER6Ybh5hHyJhKrV6+W8/JERESlwpDf/il7jQQRERGVXbLXSBARERk81kgQERGR1gw3j+DUBhEREWmPIxJERES6ZsDFlkwkiIiIdM2AayQ4tUFERERa44gEERGRrhnugAQTCSIiIp0z4BoJTm0QERGR1phIEBER6ZogSLNp6O7du/j0009Rvnx5WFhYwNfXF+fOnVPtF0UREyZMgKurKywsLBASEoKEhASNrsFEgoiISNeMJNo08OTJEzRt2hSmpqbYu3cvrl69ijlz5sDe3l51zOzZszF//nwsXboUZ8+ehZWVFUJDQ/H8+fMSX4c1EkRERLomQ43ErFmz4O7urvaCTG9vb9XPoiji+++/x9dff41OnToBANatWwdnZ2ds374d3bt3L9F1OCJBRERURiiVSmRlZaltSqWy2GN37NiBwMBAdO3aFU5OTvD398eKFStU+5OSkpCamoqQkBBVm62tLRo1aoTTp0+XOCYmEkRERLomSLNFR0fD1tZWbYuOji72kn/99ReWLFmCatWqYf/+/Rg8eDC++OILrF27FgCQmpoKAHB2dlY7z9nZWbWvJDi1QUREpGOiRCtbRkVFITIyUq1NoVAUe2xhYSECAwMxY8YMAIC/vz+uXLmCpUuXIiIiQpJ4AI5IEBERlRkKhQI2NjZq2+sSCVdXV9SqVUutrWbNmkhOTgYAuLi4AADS0tLUjklLS1PtKwkmEkRERLomw+OfTZs2RXx8vFrbjRs34OnpCeBl4aWLiwtiYmJU+7OysnD27FkEBQWV+Dqc2iAiItI1GRa2HDFiBJo0aYIZM2agW7du+P3337F8+XIsX778ZUiCgOHDh2PatGmoVq0avL29MX78eLi5uSEsLKzE12EiQUREZIAaNGiAbdu2ISoqClOmTIG3tze+//579OzZU3XMmDFjkJOTgwEDBiAjIwPBwcHYt28fzM3NS3wdQRRFURc3IKdC8arcIRDpJREv5A6BSO8YC346v0aVXhsk6Sfxx5Kt7VCaOCJBRESka3xpFxEREVFRBjkikVvwUO4QiPTSw9wsuUMg0jte5XQ/tSFHsWVpMchEgoiISK9ItCCVPmIiQUREpGsGnEiwRoKIiIi0xhEJIiIiHRMNd0CCiQQREZHOcWqDiIiIqCiOSBAREemaAS9IxUSCiIhI1zi1QURERFQURySIiIh0zYC/tjORICIi0jUDrpEw4ByJiIiIdI0jEkRERLpmwMWWTCSIiIh0TDTgqQ0mEkRERLpmwIUEBnxrREREpGsckSAiItI11kgQERGR1gy4RoJTG0RERKQ1jkgQERHpGqc2iIiISGuGm0dwaoOIiIi0xxEJIiIiHRM5tUFERERaM+BEglMbREREpDWOSBAREemaAa8jwUSCiIhI1wx4/F/vbi0rKwvbt2/HtWvX5A6FiIhIGoIgzaaHZE8kunXrhoULFwIAcnNzERgYiG7dusHPzw9btmyROToiIiJ6E9kTiWPHjqFZs2YAgG3btkEURWRkZGD+/PmYNm2azNERERFJwEiQZtNDsicSmZmZcHBwAADs27cP4eHhsLS0RIcOHZCQkCBzdERERBJgIqE77u7uOH36NHJycrBv3z60bdsWAPDkyROYm5vLHB0RERG9iexPbQwfPhw9e/aEtbU1PDw80LJlSwAvpzx8fX3lDY6IiEgCop4WSkpB9kTiP//5Dxo2bIiUlBS0adMGRkYvB0kqV67MGgkiIjIMso//647siQQABAYGws/PD0lJSahSpQpMTEzQoUMHucMiIiKit5A9R3r27Bn69u0LS0tL1K5dG8nJyQCAYcOGYebMmTJHR0REJAEZ1pGYNGkSBEFQ23x8fFT7nz9/jiFDhqB8+fKwtrZGeHg40tLSNL412ROJqKgoXLp0CUeOHFErrgwJCcHGjRtljIyIiEgiMj21Ubt2bdy/f1+1nThxQrVvxIgR2LlzJzZv3oyjR4/i3r176NKli8bXkH1qY/v27di4cSMaN24M4W/ZVu3atZGYmChjZERERGWbiYkJXFxcirRnZmZi1apVWL9+PVq1agUAWL16NWrWrIkzZ86gcePGJb6G7CMSDx8+hJOTU5H2nJwctcSCiIiozJJoREKpVCIrK0ttUyqVr71sQkIC3NzcULlyZfTs2VNVPhAXF4f8/HyEhISojvXx8YGHhwdOnz6t0a3JPiIRGBiI3bt3Y9iwYQCgSh5WrlyJoKAgOUMjLRUUFGLZop3Ys+sMHj/KgqOTLT7s1AT9BnVgckj/KpfPJ2Lzj0eQcO0u0h9lYeK3vdGkZR3V/m8nbcDBXefUzgkIqoEZC/qXcqSkcxL9ry86OhqTJ09Wa5s4cSImTZpU5NhGjRphzZo1qFGjBu7fv4/JkyejWbNmuHLlClJTU2FmZgY7Ozu1c5ydnZGamqpRTBolEoWFhTh69CiOHz+O27dv49mzZ3B0dIS/vz9CQkLg7u6u0cUBYMaMGWjXrh2uXr2KFy9eYN68ebh69SpOnTqFo0ePatwfyW/Nqn34ZeMRTJ7xOapUdcPVK7cx6es1sC5ngR6ftpY7PKJS8zw3D5WruSG0Y0NMGb222GMCm9TAyAkfqz6bmsn+/Y50QJRoVcqoqChERkaqtSkUimKPbdeunepnPz8/NGrUCJ6enti0aRMsLCwkiQco4dRGbm4upk2bBnd3d7Rv3x579+5FRkYGjI2NcfPmTUycOBHe3t5o3749zpw5o1EAwcHBuHjxIl68eAFfX18cOHAATk5OOH36NAICArS6KZLXpYuJaNGqHpq18INbxQoICQ1A4ya1cOXyLblDIypVDZrWRO//tEPT916/uJ6pqQkcKtiotnI2lqUYIZU1CoUCNjY2atvrEol/srOzQ/Xq1XHz5k24uLggLy8PGRkZasekpaUVW1PxJiVKfatXr46goCCsWLECbdq0gampaZFjbt++jfXr16N79+4YN24c+vd//dBcZGQkpk6dCisrKxw7dgxNmjTBihUrNAqc9FfdelWwdfNx3L6VBk8vZ9y4noKLF24ickw3uUMj0jt/xCWiW5uJKFfOEnUbVEXvwe/Dxs5K7rBIanowrZudnY3ExET06tULAQEBMDU1RUxMDMLDwwEA8fHxSE5O1risQBBFUXzbQdeuXUPNmjVL1GF+fj6Sk5NRpUqV1x5jamqKO3fuwNnZGcbGxrh//36xBZfaynnBKRE5FRYWYuH327H2h/0wNhZQUCBiyJdh6NO/3dtPJp16mJsldwj/WqGBo4rUSBzZfwEKczO4VHTA/TuPsXrRHphbKPD96mEwNpa9Fv5fw6vchzq/hsc8af4uJX/ZosTHjho1Ch9++CE8PT1x7949TJw4ERcvXsTVq1fh6OiIwYMHY8+ePVizZg1sbGxUtYqnTp3SKKYSjUiUNIkAXiYJb0oiAMDLywvz589H27ZtIYoiTp8+DXt7+2KPbd68+Rv7UiqVRSpWXxjnQaEwK3HMJK2D+85h7+6zmDG7LypXdUP89RTMmbkJjo62+DCsidzhEemNlqH+qp+9q7rCu6oreodF44+4RPg3rCZjZGQI7ty5gx49euDx48dwdHREcHAwzpw5A0dHRwDA3LlzYWRkhPDwcCiVSoSGhmLx4sUaX0erqp7jx49j2bJlSExMxC+//IKKFSvixx9/hLe3N4KDg996/jfffINBgwYhOjoagiCgc+fOxR4nCAIKCgre2FdxFaxR4yMwbsLnJb8hktT3c7agd9/3Edq+IQCgWvVKSL2XjtUr9zKRIHoD10rlYWtnhXspj5hIGBoZZjY2bNjwxv3m5uZYtGgRFi1a9E7X0XjsbMuWLQgNDYWFhQUuXLigGg3IzMzEjBkzStRHWFgYUlNTkZWVBVEUER8fjydPnhTZ0tPT39pXVFQUMjMz1bZRY3tqelskoee5eTD6R4WykbERCgvfOotG9K/2MC0DWZnP4FDBRu5QSGJGRtJs+kjjEYlp06Zh6dKl+Oyzz9SynaZNm2r8tk5ra2scPnwY3t7eMDHR7pEnhUJRpGI15wWnNeTUvKUfVi3fAxdXB1Sp6obr11Lw09qD6NS5qdyhEZWq3GdK3Et5pPqcejcdifF3Uc7WEuVsLPHTigMIbuUH+/LlcP/OY6ycvwtu7uUREFRDxqiJNKPxX+/4+Phi6xZsbW2LPEZSEi1a/K9w5Pnz58jLy1Pbb2PDzLysGTOuBxbP/xXRU9fjSfpTODrZIrxrcwwY/IHcoRGVqhtXUzBm0FLV52VzdwAA2nwQiGFfhSMp4T4O7jqHnKfPUd7RBvUbV0fEoPdhxrUkDI4ePLShMxr/1+ri4oKbN2/Cy8tLrf3EiROoXLmyxgE8e/YMY8aMwaZNm/D48eMi+99WI0H6x8rKHKOjPsboqI/ffjCRAasbWBX7z3372v0zFg4oxWhIToacSGg849K/f398+eWXOHv2LARBwL179/Dzzz9j1KhRGDx4sMYBjB49GocOHcKSJUugUCiwcuVKTJ48GW5ubli3bp3G/REREembf77OW9tNH2k8IvHVV1+hsLAQrVu3xrNnz9C8eXMoFAqMGjVK9QyqJnbu3Il169ahZcuW+Pzzz9GsWTNUrVoVnp6e+Pnnn9GzJwsniYiI9JXGiYQgCBg3bhxGjx6NmzdvIjs7G7Vq1YK1tbVWAaSnp6umRGxsbFRPagQHB2s1wkFERKRv9HQwQRJaP0xiZmaGcuXKwdXVVeskAgAqV66MpKQkAC9fYbpp0yYAL0cq/vlWMiIiorJIEKTZ9JHGicSLFy8wfvx42NrawsvLC15eXrC1tcXXX3+N/Px8jQP4/PPPcenSJQAvp00WLVoEc3NzDB8+HKNHj9a4PyIiIio9Gk9tDBs2DFu3bsXs2bNVL/Y4ffo0Jk2ahMePH2PJkiUa9TdixAjVzyEhIbh+/Tri4uJQrVo1+Pq+/o15REREZYWgp4tJSUHjRGL9+vXYsGFDkfecu7u7o0ePHiVOJA4dOoShQ4fizJkzamtFeHp6ws7ODk2aNMHSpUvRrFkzTUMkIiLSK/o6LSEFjXMkhUJRZA0JAPD29oaZWclXlPz+++/Rv3//YhecsrW1xcCBA/Hdd99pGh4RERGVIo0TiaFDh2Lq1Klqb9xUKpWYPn06hg4dWuJ+Ll26hPfff/+1+9u2bYu4uDhNwyMiItI7RoI0mz7SeGrjwoULiImJQaVKlVC3bl0AL5OCvLw8tG7dGl26dFEdu3Xr1tf2k5aWBlNT09cHZmKChw8fahoeERGR3jHkqQ2NEwk7OzuEh4ertbm7u2t84YoVK+LKlSuoWrVqsfv/+OMPuLq6atwvERERlR6NE4nVq1dLcuH27dtj/PjxeP/992Fubq62Lzc3FxMnTsQHH/AlT0REVPYZ8oiEIIqiqMkJEydORJ8+feDp6flOF05LS0P9+vVhbGyMoUOHokaNl6/NvX79OhYtWoSCggKcP38ezs7OGved8+LoO8VGZKge5mbJHQKR3vEq96HOr1FnzXFJ+rnSW/+eZNS42PLXX39FlSpV0Lp1a6xfv16t6FITzs7OOHXqFOrUqYOoqCh07twZnTt3xn//+1/UqVMHJ06c0CqJICIi0jeCkTSbPtI4rIsXLyI2Nha1a9fGl19+CRcXFwwePBixsbEaX9zT0xN79uzBo0ePcPbsWZw5cwaPHj3Cnj174O3trXF/REREVLq0ym/8/f0xf/583Lt3D6tWrcKdO3fQtGlT+Pn5Yd68ecjMzNSoP3t7ezRo0AANGzaEvb29NiERERHpLb5r4zVEUUR+fj7y8vIgiiLs7e2xcOFCuLu7Y+PGjVLFSEREVKYxkfiHuLg4DB06FK6urhgxYgT8/f1x7do1HD16FAkJCZg+fTq++OILqWMlIiIiPVPiRMLY2BgPHjyAr68vGjdujKSkJKxatQopKSmYOXOm2noQPXr04GJSRERE/58hj0iUeB2JV0+JduvWDX369EHFihVfe2yFChVQWFj47tEREREZAH1d3loKGi9INX78eF3EQURERGWQRonEypUrYW1t/cZjWBtBRESkTl+nJaSgUSKxdOlSGBsbv3a/IAhMJIiIiP6BicT/d+7cOTg5OekqFiIiIipjSpxICIacThEREemQYMDVlho/tUFERESaMeTv4iVOJCZOnPjWQksiIiIqypATiRItSJWcnIyJEyfC0tKyRJ3evXv3nYIiIiKisqFEiUSDBg0waNCgN77hMzMzEytWrECdOnWwZcsWyQIkIiIq6/71K1tevXoV06dPR5s2bWBubo6AgAC4ubnB3NwcT548wdWrV/Hnn3+ifv36mD17Ntq3b6/ruImIiMoMA661hCBqUEWZm5uL3bt348SJE7h9+zZyc3NRoUIF+Pv7IzQ0FHXq1NFlrCWW8+Ko3CEQ6aWHuVlyh0Ckd7zKfajzazTZekKSfk51CZakHylptI6EhYUFPvroI3z00Ue6ioeIiMjg6Ou0hBQ0ftcGERERaUYo8bu2yx4DvjUiIiLSNSYSREREOqYPT23MnDkTgiBg+PDhqrbnz59jyJAhKF++PKytrREeHo60tDSN+mUiQUREpGOCIEiyaSs2NhbLli2Dn5+fWvuIESOwc+dObN68GUePHsW9e/fQpUsXjfpmIkFERGTAsrOz0bNnT6xYsQL29vaq9szMTKxatQrfffcdWrVqhYCAAKxevRqnTp3CmTNnSty/VsWWCQkJOHz4MB48eIDCwkK1fRMmTNCmSyIiIoMl1VMbSqUSSqVSrU2hUEChULz2nCFDhqBDhw4ICQnBtGnTVO1xcXHIz89HSEiIqs3HxwceHh44ffo0GjduXKKYNE4kVqxYgcGDB6NChQpwcXFRG2oRBIGJBBER0T9IlUhER0dj8uTJam0TJ07EpEmTij1+w4YNOH/+fLErU6empsLMzAx2dnZq7c7OzkhNTS1xTBonEtOmTcP06dMxduxYTU8lIiL6V5IqkYiKikJkZKRa2+tGI1JSUvDll1/i4MGDMDc3lyaAYmicSDx58gRdu3bVRSxERET0Bm+bxvi7uLg4PHjwAPXr11e1FRQU4NixY1i4cCH279+PvLw8ZGRkqI1KpKWlwcXFpcQxaZxIdO3aFQcOHMCgQYM0PbXUVKi8VO4QiPRS/40D5A6BSO/MD9L9NeR410br1q1x+fJltbbPP/8cPj4+GDt2LNzd3WFqaoqYmBiEh4cDAOLj45GcnIygoJL/UjROJKpWrYrx48fjzJkz8PX1hampqdr+L774QtMuiYiIDJociUS5cuWKvAPLysoK5cuXV7X37dsXkZGRcHBwgI2NDYYNG4agoKASF1oCWiQSy5cvh7W1NY4ePYqjR9VfjiUIAhMJIiKiMmLu3LkwMjJCeHg4lEolQkNDsXjxYo360DiRSEpK0vQUIiKifzUjocQv2tapI0eOqH02NzfHokWLsGjRIq375Eu7iIiIdEyOqY3SUqJEIjIyElOnToWVlVWRx07+6bvvvpMkMCIiItJ/JUokLly4gPz8fNXPr/Mu64ATEREZKkN+H0WJEonDhw8X+zMRERG9nb7USOiCISdJREREpGMstiQiItKxf32xJREREWnPkIf/mUgQERHpmCGPSBhykkREREQ6VqIRiR07dpS4w44dO2odDBERkSESDPipjRIlEmFhYWqfBUGAKIpqn18pKCiQJjIiIiID8a+f2igsLFRtBw4cQL169bB3715kZGQgIyMDe/bsQf369bFv3z5dx0tERER6RONiy+HDh2Pp0qUIDg5WtYWGhsLS0hIDBgzAtWvXJA2QiIiorDPkgkSNE4nExETY2dkVabe1tcWtW7ckCImIiMiwcGXLv2nQoAEiIyORlpamaktLS8Po0aPRsGFDSYMjIiIi/abxiMQPP/yAzp07w8PDA+7u7gCAlJQUVKtWDdu3b5c6PiIiojLPkIstNU4kqlatij/++AMHDx7E9evXAQA1a9ZESEgI3/5JRERUDNZI/IMgCGjbti2aN28OhULBBIKIiOhfSuMkqbCwEFOnTkXFihVhbW2NpKQkAMD48eOxatUqyQMkIiIq64wEaTZ9pHEiMW3aNKxZswazZ8+GmZmZqr1OnTpYuXKlpMEREREZAiNBlGTTRxonEuvWrcPy5cvRs2dPGBsbq9rr1q2rqpkgIiKi/+GIxN/cvXsXVatWLdJeWFiI/Px8SYIiIiKiskHjRKJWrVo4fvx4kfZffvkF/v7+kgRFRERkSIwk2vSRxk9tTJgwAREREbh79y4KCwuxdetWxMfHY926ddi1a5cuYiQiIirT9LW+QQoaJxKdOnXCzp07MWXKFFhZWWHChAmoX78+du7ciTZt2mgVRGRkZLHtgiDA3NwcVatWRadOneDg4KBV/0RERKQbWq0j0axZMxw8eFCyIC5cuIDz58+joKAANWrUAADcuHEDxsbG8PHxweLFizFy5EicOHECtWrVkuy6REREpUFfCyWloPGUS+XKlfH48eMi7RkZGahcubJWQXTq1AkhISG4d+8e4uLiEBcXhzt37qBNmzbo0aMH7t69i+bNm2PEiBFa9U9ERCQnPrXxN7du3UJBQUGRdqVSibt372oVxDfffIOpU6fCxsZG1WZra4tJkyZh9uzZsLS0xIQJExAXF6dV/0RERKQbJZ7a2LFjh+rn/fv3w9bWVvW5oKAAMTEx8PLy0iqIzMxMPHjwoMi0xcOHD5GVlQUAsLOzQ15enlb9ExERyUlfn7iQQokTibCwMAAvCyAjIiLU9pmamsLLywtz5szRKohOnTqhT58+mDNnDho0aAAAiI2NxahRo1TX/f3331G9enWt+iciIpITn9rAywWnAMDb2xuxsbGoUKGCZEEsW7YMI0aMQPfu3fHixYuXgZmYICIiAnPnzgUA+Pj4cAluIiIiPaPxUxuvXtL1dxkZGbCzs9M6CGtra6xYsQJz587FX3/9BeBlUae1tbXqmHr16mndPxERkZz0tVBSChpP28yaNQsbN25Ufe7atSscHBxQsWJFXLp06Z2Csba2hp+fH/z8/NSSCCIiorLMkFe21DiupUuXwt3dHQBw8OBB/Pbbb9i3bx/atWuH0aNHaxVETk4Oxo8fjyZNmqBq1aqoXLmy2kZERFSWGfLjnxpPbaSmpqoSiV27dqFbt25o27YtvLy80KhRI62C6NevH44ePYpevXrB1dUVgqCnvy0iIiJSo3EiYW9vj5SUFLi7u2Pfvn2YNm0aAEAUxWLXlyiJvXv3Yvfu3WjatKlW5xMREekzgU9t/E+XLl3wySefoFq1anj8+DHatWsH4OUy18W9Xrwk7O3t+R6NMuz6yfnwdHcs0r507QHMXbYT8acWFHtez8HfY+vus7oOj0gWyYeOIuXQMeQ+erkSsHVFV1Tp1AGOfnUAAH+u+RmP/7wGZUYmjM0VsKtaGdW7doG1m4ucYZOO6Ou0hBQ0TiTmzp0LLy8vpKSkYPbs2aqiyPv37+M///mPVkFMnToVEyZMwNq1a2FpaalVHySf4A/Hwdj4f+U2tWq4Y8/6cdi6+wzu3HsMr4BBasf3+aQ1Rgz8APsPXyzlSIlKj7m9Pap3DYOlsxMA4N6J07gwbwmaTBkH64pusPHygGtQQ1g42CM/5xlubt+FuG/nofm30yEY6WtZHVFRGicSpqamGDVqVJH2d3kPxpw5c5CYmAhnZ2d4eXnB1NRUbf/58+e17pt071H6U7XPo/7TCYm3UnH8zDUAQNrDTLX9HUMbYMuuM8h5piy1GIlKm5O/n9rnah+FIfnwMWTcTIJ1RTe4t2ym2mfhCFQL74hT46ch99FjWDoVHeGjsk2O1HDJkiVYsmQJbt26BQCoXbs2JkyYoJpJeP78OUaOHIkNGzZAqVQiNDQUixcvhrOzs0bXKVEisWPHDrRr1w6mpqZqS2UXp2PHjhoFAPxv1Uwq+0xNjdG9czDmr9hd7H5/X2/Uq+OFEeN/KOXIiOQjFhYi9fc4FCjzYFfVu8j+F0ol7h4/BQvHCjB3sJchQtI1OVa2rFSpEmbOnIlq1apBFEWsXbsWnTp1woULF1C7dm2MGDECu3fvxubNm2Fra4uhQ4eiS5cuOHnypEbXKVEiERYWhtTUVDg5Ob3xj74gCFoVXE6cOFHjc0g/dQxtADsbS/z0y7Fi90d8/B6uJdzBmbiEUo6MqPQ9TbmLs9NmozA/H8YKBfyHDYR1RTfV/uSYI7ixaRsKlEpYuTgjcPSXMDLReKCYqFgffvih2ufp06djyZIlOHPmDCpVqoRVq1Zh/fr1aNWqFQBg9erVqFmzJs6cOYPGjRuX+Dol+i/21fLY//xZHyiVSiiV6kPkolgAQTCWKaJ/t4iPW2L/kYu4n/akyD5zhSk+7tQEM+dvkyEyotJn5eqMoCnj8CI3F2mx53F55Vo0/CpSlUy4BjVC+do1oczMwq29B3Fp0Qo0HDcaxmamb+mZyhq5iy0LCgqwefNm5OTkICgoCHFxccjPz0dISIjqGB8fH3h4eOD06dMaJRKSTdvcuXMHAwYMKPHxDg4OePToEYD/PbXxuu1NoqOjYWtrq7a9yLr6TvdC2vGoWAGtgn2x5v8OF7u/c4dGsLRQ4OctxY9WEBkaIxMTWDk7wdbLE9W7dkY590q4ffB//z5MLS1g5eIMhxrVUG/oAOTcT8WD8xflC5h0RqoFqZRKJbKystS2f36Z/rvLly/D2toaCoUCgwYNwrZt21CrVi2kpqbCzMysyOstnJ2dkZqaqtG9STaG9vjxY6xatQrLly8v0fFz585FuXLlAADff/+91teNiopCZGSkWptT7X5a90fa69WtBR48zsTeQxeK3d/74/ew+7e4IsWZRP8aoojC/PzX7hPxhv1EePnlefLkyWptEydOxKRJk4o9vkaNGrh48SIyMzPxyy+/ICIiAkePHpU0Jtkm4/7+KvJ/vpZcEwqFAgqFQq2N0xqlTxAEfNa1BX7+5RgKCopOf1X2dEZwIx+ERcyWITqi0ndj8zZU8KsDCwd7vHiuxP0zvyP9+g0EjByGZw8eIvX3OJSvUxNm5crhefoTJO3eD2NTM1SoW0fu0EkHpPqrNLqYL8///Bv4d2ZmZqo1ngICAhAbG4t58+bh448/Rl5eXpGXbqalpcHFRbO1TPSmqqewsBA3b97EgwcPitRhNG/eXKaoqKRaBdeBRyVHrN14pNj9ER+3xN376fjt2B+lGxiRTPKynuLy8tVQZmbB1MIC1u4VETByGCrUqYXnTzLw5EYCbh+IQX7OMyhsbWBfvSoafT0aChsbuUMnHZDqqY3ivjxrorCwEEqlEgEBATA1NUVMTAzCw8MBAPHx8UhOTkZQUJBGfepFInHmzBl88sknuH37NkRR/Zet7ZMgVLpijl+GhUeP1+6fOHsjJs7e+Nr9RIamTt/PXrvP3N4OAZHDSjEakpscxZZRUVFo164dPDw88PTpU6xfvx5HjhzB/v37YWtri759+yIyMhIODg6wsbHBsGHDEBQUpFGhJaBBItGlS5c37s/IyNDown83aNAgBAYGYvfu3XxpFxERkQQePHiAzz77DPfv34etrS38/Pywf/9+tGnTBsDLWkUjIyOEh4erLUilqRInEra2tm/d/9lnr8/A3yQhIQG//PKL1u/qICIi0mdyjEisWrXqjfvNzc2xaNEiLFq06J2uU+JEYvXq1e90oTdp1KgRbt68yUSCiIgMkrEBD7TrRY3EsGHDMHLkSKSmpsLX17fIuzb8/PxecyYRERHJSS8SiVcVo3369FG1CYIAURRZbElERGWe3Ctb6pJeJBJJSUlyh0BERKQzcry0q7ToRSLh6ekpdwhERESkBdkSCV2/mpyIiEhfcGpDB3T9anIiIiJ9YcgvbpAtkdDnV5MTERFRycheI1FYWIg1a9Zg69atuHXrFgRBQOXKlREeHo5evXpxlUsiIirzDHlqw0jOi4uiiI4dO6Jfv364e/cufH19Ubt2bdy6dQu9e/dG586d5QyPiIhIEkaCKMmmj2QdkVizZg2OHTuGmJgYvPfee2r7Dh06hLCwMKxbt07rpbeJiIj0gSGvbCnriMT//d//4b///W+RJAIAWrVqha+++go///yzDJERERFRSciaSPzxxx94//33X7u/Xbt2uHTpUilGREREJD0jQZpNH8k6tZGeng5nZ+fX7nd2dsaTJ09KMSIiIiLp6WsSIAVZRyQKCgpgYvL6XMbY2BgvXrwoxYiIiIhIE7KOSIiiiN69e0OhUBS7X6lUlnJERERE0jPkEQlZE4mIiIi3HsMnNoiIqKwz1tNHN6UgayKxevVqOS9PRERE70j2lS2JiIgMnawFiTrGRIKIiEjHDLlGwpCTJCIiItIxjkgQERHpmCGPSDCRICIi0jE+tUFERERaM+QRCdZIEBERkdY4IkFERKRjhjwiwUSCiIhIxww5keDUBhEREWmNIxJEREQ6ZmzAIxJMJIiIiHTMyIAf/+TUBhEREWmNIxJEREQ6Zsjf2plIEBER6Rif2iAiIiIqBkckiIiIdIxPbRAREZHWDPmpDSYSREREOsYaCSIiIqJicESCiIhIxwx5RMIgE4nc5Mlyh0Ckl5QFGXKHQPSvJMfwf3R0NLZu3Yrr16/DwsICTZo0waxZs1CjRg3VMc+fP8fIkSOxYcMGKJVKhIaGYvHixXB2di7xdTi1QUREZICOHj2KIUOG4MyZMzh48CDy8/PRtm1b5OTkqI4ZMWIEdu7cic2bN+Po0aO4d+8eunTpotF1BFEUDbCU9IbcARDpJY5IEBWlMG6o82v8/nC3JP00dOyg9bkPHz6Ek5MTjh49iubNmyMzMxOOjo5Yv349PvroIwDA9evXUbNmTZw+fRqNGzcuUb8ckSAiItIxQaJNqVQiKytLbVMqlSWKITMzEwDg4OAAAIiLi0N+fj5CQkJUx/j4+MDDwwOnT58u8b0xkSAiIiojoqOjYWtrq7ZFR0e/9bzCwkIMHz4cTZs2RZ06dQAAqampMDMzg52dndqxzs7OSE1NLXFMBllsSUREpE8EiZ7aiIqKQmRkpFqbQqF463lDhgzBlStXcOLECWkC+RsmEkRERDom1fC/QqEoUeLwd0OHDsWuXbtw7NgxVKpUSdXu4uKCvLw8ZGRkqI1KpKWlwcXFpcT9c2qDiIjIAImiiKFDh2Lbtm04dOgQvL291fYHBATA1NQUMTExqrb4+HgkJycjKCioxNfhiAQREZGOCTK8a2PIkCFYv349fv31V5QrV05V92BrawsLCwvY2tqib9++iIyMhIODA2xsbDBs2DAEBQWV+IkNgIkEERGRzsmxsOWSJUsAAC1btlRrX716NXr37g0AmDt3LoyMjBAeHq62IJUmuI4E0b8I15EgKqo01pG4lL5Lkn7qOnwgST9SYo0EERERaY1TG0RERDpmwO/sYiJBRESka4b89k9ObRAREZHWOCJBRESkYwY8IMFEgoiISNekWiJbH3Fqg4iIiLTGEQkiIiIdM+ABCSYSREREumbIiQSnNoiIiEhrHJEgIiLSMUNeR4KJBBERkY4ZcB7BRIKIiEjX5HiNeGlhjQQRERFpjSMSREREOsapDSIiItIaV7YkIiIiKgZHJIiIiHTMkL+1M5EgIiLSMU5t6Eh+fj5MTExw5coVOcMgIiIiLck6ImFqagoPDw8UFBTIGQYREZFOGfCAhPzTNuPGjcN///tfpKenyx0KERGRTgiCNJs+kr1GYuHChbh58ybc3Nzg6ekJKysrtf3nz5+XKTIiIiJ6G9kTibCwMLlDICIi0ik9HUyQhCCKogEuAH5D7gCI9JKyIEPuEIj0jsK4oc6vce/ZTkn6cbP8UJJ+pCR7jQQAZGRkYOXKlYiKilLVSpw/fx53796VOTIiIqJ3J0i06SPZpzb++OMPhISEwNbWFrdu3UL//v3h4OCArVu3Ijk5GevWrZM7RCIiInoN2UckIiMj0bt3byQkJMDc3FzV3r59exw7dkzGyIiIiKQhCKIkmz6SfUQiNjYWy5YtK9JesWJFpKamyhARERGRtPR1WkIKso9IKBQKZGVlFWm/ceMGHB0dZYiIiIiISkr2EYmOHTtiypQp2LRpEwBAEAQkJydj7NixCA8Plzk60sayZZtx4MAp/PXXXZibm8Hf3wejRvVG5cqV5A6NSFZpaen4fs5GnDj+B54/V8LdwxlTp/dH7TqV5Q6NdExfF5OSguyPf2ZmZuKjjz7CuXPn8PTpU7i5uSE1NRVBQUHYs2dPkQWqSoaPf8qpb9+J6NChGXx9q6GgoBDffbcOCQm3sXv3Ylhamr+9A9IZPv4pn6zMHHQL/xoNGtZEt+6tYe9QDsm30+Du7gR3D2e5w/tXK43HPx8+3yFJP47mHSXpR0qyJxKvnDhxAn/88Qeys7NRv359hISEvENvTCT0SXp6JoKCPsVPP0WjQYM6cofzr8ZEQj7ff7cRF87fwNqfxssdCv0DE4l3I/vUxivBwcEIDg6WOwzSgadPcwAAtrblZI6ESD5HDp1Hk2BfjBw+H+fOXYezkwO69WiNj7q+J3doVApkL0jUIb1IJGJiYhATE4MHDx6gsLBQbd8PP/wgU1QkhcLCQsyYsQL169dE9eqecodDJJs7dx5i04ZD6BXxPvoN6Ig/r/yFWTN+hKmpCTqFNZM7PNIxQ66RkD2RmDx5MqZMmYLAwEC4urpC0PC3rVQqoVQq1doUijwoFGZShklamjx5KRISkrF+/Sy5QyGSVWFhIWrX8caXI7oBAGrW8sLNhDvYvPEQEwkq02RPJJYuXYo1a9agV69eWp0fHR2NyZMnq7VNnDgUkyYNkyI8egdTpizFkSOx+OmnaLi4VJA7HCJZOTraoXKVimpt3lXc8NvBczJFRKXLcIckZE8k8vLy0KRJE63Pj4qKQmRkpFqbQpH8rmHROxBFEVOnLsPBg6fx44/RcHd3kTskItnVq18dt5Luq7XdvpUKV7fyMkVEpUkw4ERC9vqPfv36Yf369Vqfr1AoYGNjo7ZxWkNekycvwY4dRzBnzihYWVng4cMnePjwCZ4/V779ZCID1euz93H5j0SsWLYDybfTsHvXKfyy+TC693iXJ9SorBAEI0k2TR07dgwffvgh3NzcIAgCtm/frrZfFEVMmDABrq6usLCwQEhICBISEjS7Nzke//z7CEJhYSHWrl0LPz8/+Pn5wdTUVO3Y7777Tosr8PFPOdWoUfxrbqOjv0SXLvyfppz4+Ke8jh65gHlzNyH5dhoqVnJEr4j3+dSGHiiNxz8z8vZI0o+dWXuNjt+7dy9OnjyJgIAAdOnSBdu2bUNYWJhq/6xZsxAdHY21a9fC29sb48ePx+XLl3H16lW191+9iSyJxHvvlfwfzuHDh7W4AhMJouIwkSAqqnQSib2S9GNn1k7rcwVBUEskRFGEm5sbRo4ciVGjRgF4uUiks7Mz1qxZg+7du5eoX1lqJLRLDoiIiMomqWokin9SUQGFQqFxX0lJSUhNTVVbANLW1haNGjXC6dOnS5xIyF4j0adPHzx9+rRIe05ODvr06SNDRERERPopOjoatra2alt0dLRWfb16w7azs/oS7c7Ozhq9fVv2RGLt2rXIzc0t0p6bm4t169bJEBEREZHUBEm2qKgoZGZmqm1RUVGlfjd/J9vjn1lZWRBFEaIo4unTp2pFHQUFBdizZw+cnJzkCo+IiEgy2jxxURyFmXbTGMVxcXn5aH5aWhpcXV1V7WlpaahXr16J+5EtkbCzs4MgCBAEAdWrVy+yXxCEIgtNERERkTS8vb3h4uKCmJgYVeKQlZWFs2fPYvDgwSXuR7ZE4vDhwxBFEa1atcKWLVvg4OCg2mdmZgZPT0+4ubnJFR4REZGE5FmQKjs7Gzdv3lR9TkpKwsWLF+Hg4AAPDw8MHz4c06ZNQ7Vq1VSPf7q5uak9Ivo2siUSLVq0APDypmxsbPDDDz/g2rVrAIDatWujVq1acoVGREQkKblWtjx37pzakguv1nGKiIjAmjVrMGbMGOTk5GDAgAHIyMhAcHAw9u3bV+I1JACZ1pH4u3PnzuH999+Hubk5GjZ8+SxvbGwscnNzceDAAdSvX1+LXrmOBFFxuI4EUVGlsY7E0/wYSfopZ9pakn6kJHsi0axZM1StWhUrVqyAicnLAZIXL16gX79++Ouvv3Ds2DEtemUiQVQcJhJERZVGIpGdf0iSfqxNW0nSj5RkTyQsLCxw4cIF+Pj4qLVfvXoVgYGBePbsmRa9MpEgKg4TCaKiSieROCJJP9amLSXpR0qyryNhY2OD5OSib+tMSUlBuXLlZIiIiIhIWq+eUnzXTR/Jnkh8/PHH6Nu3LzZu3IiUlBSkpKRgw4YN6NevH3r06CF3eERERPQGsj218cq3334LQRDw2Wef4cWLFwAAU1NTDB48GDNnzpQ5OiIiIino52iCFGSvkXjl2bNnSExMBABUqVIFlpaW79AbaySIisMaCaKiSqNG4tmL45L0Y2nSTJJ+pCT7iMQrlpaW8PX1lTsMIiIi0oDeJBJERESGS/aSRJ1hIkFERKRjcq1sWRoMN0UiIiIineOIBBERkY7p6xoQUmAiQUREpHOGm0hwaoOIiIi0xhEJIiIiHRMM+Hs7EwkiIiKdM9ypDSYSREREOmbIxZaGO9ZCREREOscRCSIiIp0z3BEJJhJEREQ6ZsjFloZ7Z0RERKRzHJEgIiLSOU5tEBERkZb40i4iIiKiYnBEgoiISMcMeR0JJhJEREQ6Z7gTAIZ7Z0RERKRzHJEgIiLSMUMutmQiQUREpHNMJIiIiEhLhlxsyRoJIiIi0hpHJIiIiHTOcL+3M5EgIiLSMUMutjTcFImIiIh0ThBFUZQ7CDJMSqUS0dHRiIqKgkKhkDscIr3BfxtkSJhIkM5kZWXB1tYWmZmZsLGxkTscIr3BfxtkSDi1QURERFpjIkFERERaYyJBREREWmMiQTqjUCgwceJEFpMR/QP/bZAhYbElERERaY0jEkRERKQ1JhJERESkNSYSREREpDUmEkRERKQ1JhL0Tnr37g1BEDBz5ky19u3bt0MQDPclNUTFEUURISEhCA0NLbJv8eLFsLOzw507d2SIjEh3mEjQOzM3N8esWbPw5MkTuUMhkpUgCFi9ejXOnj2LZcuWqdqTkpIwZswYLFiwAJUqVZIxQiLpMZGgdxYSEgIXFxdER0e/9pgtW7agdu3aUCgU8PLywpw5c0oxQqLS4+7ujnnz5mHUqFFISkqCKIro27cv2rZtC39/f7Rr1w7W1tZwdnZGr1698OjRI9W5v/zyC3x9fWFhYYHy5csjJCQEOTk5Mt4N0dsxkaB3ZmxsjBkzZmDBggXFDtvGxcWhW7du6N69Oy5fvoxJkyZh/PjxWLNmTekHS1QKIiIi0Lp1a/Tp0wcLFy7ElStXsGzZMrRq1Qr+/v44d+4c9u3bh7S0NHTr1g0AcP/+ffTo0QN9+vTBtWvXcOTIEXTp0gVc6of0HRekonfSu3dvZGRkYPv27QgKCkKtWrWwatUqbN++HZ07d4YoiujZsycePnyIAwcOqM4bM2YMdu/ejT///FPG6Il058GDB6hduzbS09OxZcsWXLlyBcePH8f+/ftVx9y5cwfu7u6Ij49HdnY2AgICcOvWLXh6esoYOZFmOCJBkpk1axbWrl2La9euqbVfu3YNTZs2VWtr2rQpEhISUFBQUJohEpUaJycnDBw4EDVr1kRYWBguXbqEw4cPw9raWrX5+PgAABITE1G3bl20bt0avr6+6Nq1K1asWMG6IyoTmEiQZJo3b47Q0FBERUXJHQqRXjAxMYGJiQkAIDs7Gx9++CEuXryotiUkJKB58+YwNjbGwYMHsXfvXtSqVQsLFixAjRo1kJSUJPNdEL2ZidwBkGGZOXMm6tWrhxo1aqjaatasiZMnT6odd/LkSVSvXh3GxsalHSKRLOrXr48tW7bAy8tLlVz8kyAIaNq0KZo2bYoJEybA09MT27ZtQ2RkZClHS1RyHJEgSfn6+qJnz56YP3++qm3kyJGIiYnB1KlTcePGDaxduxYLFy7EqFGjZIyUqHQNGTIE6enp6NGjB2JjY5GYmIj9+/fj888/R0FBAc6ePYsZM2bg3LlzSE5OxtatW/Hw4UPUrFlT7tCJ3oiJBEluypQpKCwsVH2uX78+Nm3ahA0bNqBOnTqYMGECpkyZgt69e8sXJFEpc3Nzw8mTJ1FQUIC2bdvC19cXw4cPh52dHYyMjGBjY4Njx46hffv2qF69Or7++mvMmTMH7dq1kzt0ojfiUxtERESkNY5IEBERkdaYSBAREZHWmEgQERGR1phIEBERkdaYSBAREZHWmEgQERGR1phIEBERkdaYSBDpkUmTJqFevXqqz71790ZYWJhs8Wjq1q1bEAQBFy9elDsUIiolfNcGkR6bN28euGYcEekzJhJEeszW1lbuEIqVl5cHMzOzMtc3EUmPUxtEElEqlfjiiy/g5OQEc3NzBAcHIzY2VrX/yJEjEAQBMTExCAwMhKWlJZo0aYL4+PjX9vnPqY2WLVviiy++wJgxY+Dg4AAXFxdMmjRJ7ZyMjAz069cPjo6OsLGxQatWrXDp0qU3xn758mW0atUKFhYWKF++PAYMGIDs7OwicUyfPh1ubm6qt7v+/vvv8Pf3h7m5OQIDA3HhwoUifV+5cgXt2rWDtbU1nJ2d0atXLzx69EjtnoYOHYrhw4ejQoUKCA0NfWOsRKRfmEgQSWTMmDHYsmUL1q5di/Pnz6Nq1aoIDQ1Fenq62nHjxo3DnDlzcO7cOZiYmKBPnz4aXWft2rWwsrLC2bNnMXv2bEyZMgUHDx5U7e/atSsePHiAvXv3Ii4uDvXr10fr1q2LxPFKTk4OQkNDYW9vj9jYWGzevBm//fYbhg4dqnZcTEwM4uPjcfDgQezatQvZ2dn44IMPUKtWLcTFxWHSpElF3uiakZGBVq1awd/fH+fOncO+ffuQlpaGbt26FbknMzMznDx5EkuXLtXo90FEMhOJ6J1lZ2eLpqam4s8//6xqy8vLE93c3MTZs2eLoiiKhw8fFgGIv/32m+qY3bt3iwDE3NxcURRFceLEiWLdunVV+yMiIsROnTqpPrdo0UIMDg5Wu3aDBg3EsWPHiqIoisePHxdtbGzE58+fqx1TpUoVcdmyZcXGvnz5ctHe3l7Mzs5Wi8vIyEhMTU1VxeHs7CwqlUrVMcuWLRPLly+vil0URXHJkiUiAPHChQuiKIri1KlTxbZt26pdLyUlRQQgxsfHq+7J39+/2NiISP+xRoJIAomJicjPz0fTpk1VbaampmjYsCGuXbumdqyfn5/qZ1dXVwDAgwcP4OHhUaJr/f38V308ePAAAHDp0iVkZ2ejfPnyasfk5uYiMTGx2P6uXbuGunXrwsrKStXWtGlTFBYWIj4+Hs7OzgAAX19ftdqFa9euwc/PD+bm5qq2oKAgtb4vXbqEw4cPw9raush1ExMTUb16dQBAQEDAW++biPQTEwmiUmZqaqr6WRAEAEBhYaFW57/q49X52dnZcHV1xZEjR4qcZ2dnp3mwf/P3RKOksrOz8eGHH2LWrFlF9r1KorTtm4j0AxMJIglUqVJFNcfv6ekJAMjPz0dsbCyGDx9eanHUr18fqampMDExgZeXV4nOqVmzJtasWYOcnBzVH/STJ0/CyMhIVVT5uvN+/PFHPH/+XDUqcebMmSLxbNmyBV5eXjAx4f9uiAwRiy2JJGBlZYXBgwdj9OjR2LdvH65evYr+/fvj2bNn6Nu3b6nFERISgqCgIISFheHAgQO4desWTp06hXHjxuHcuXPFntOzZ0+Ym5sjIiICV65cweHDhzFs2DD06tVLNa1RnE8++QSCIKB///64evUq9uzZg2+//VbtmCFDhiA9PR09evRAbGwsEhMTsX//fnz++ecoKCiQ9N6JSB5MJIgkMnPmTISHh6NXr16oX78+bt68if3798Pe3r7UYhAEAXv27EHz5s3x+eefo3r16ujevTtu37792qTA0tIS+/fvR3p6Oho0aICPPvoIrVu3xsKFC994LWtra+zcuROXL1+Gv78/xo0bV2QKw83NDSdPnkRBQQHatm0LX19fDB8+HHZ2djAy4v9+iAyBIIpcNo+IiIi0w68EREREpDUmEkRERKQ1JhJERESkNSYSREREpDUmEkRERKQ1JhJERESkNSYSREREpDUmEkRERKQ1JhJERESkNSYSREREpDUmEkRERKQ1JhJERESktf8HjY/Fpoyel+kAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pivot_table=df.pivot_table(index='listed_in(type)', columns='online_order', aggfunc='size', fill_value=0)\n",
    "sns.heatmap(pivot_table, annot=True, cmap=\"YlGnBu\", fmt='d')\n",
    "plt.title(\"Heatmap\")\n",
    "plt.xlabel(\"online order\")\n",
    "plt.ylabel(\"Listed in (Type)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07da4b0d-6e17-4e72-a5ff-aca3a6b4d1ae",
   "metadata": {},
   "source": [
    "***It concludes that dinning restaurants primarily accept offline orders, whereas cafes primarily recieve online orders. This suggests that clients preferred orders in person at restaurants, but prefer online ordering at cafe's.***"
   ]
  }
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