Big Mart Sales EDA _  LIVE.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "78a36de2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "from matplotlib import style\n",
    "style.use('ggplot')\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3169152b",
   "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>Item_Identifier</th>\n",
       "      <th>Item_Weight</th>\n",
       "      <th>Item_Fat_Content</th>\n",
       "      <th>Item_Visibility</th>\n",
       "      <th>Item_Type</th>\n",
       "      <th>Item_MRP</th>\n",
       "      <th>Outlet_Identifier</th>\n",
       "      <th>Outlet_Establishment_Year</th>\n",
       "      <th>Outlet_Size</th>\n",
       "      <th>Outlet_Location_Type</th>\n",
       "      <th>Outlet_Type</th>\n",
       "      <th>Item_Outlet_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FDA15</td>\n",
       "      <td>9.30</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>0.016047</td>\n",
       "      <td>Dairy</td>\n",
       "      <td>249.8092</td>\n",
       "      <td>OUT049</td>\n",
       "      <td>1999</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 1</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "      <td>3735.1380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DRC01</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Regular</td>\n",
       "      <td>0.019278</td>\n",
       "      <td>Soft Drinks</td>\n",
       "      <td>48.2692</td>\n",
       "      <td>OUT018</td>\n",
       "      <td>2009</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type2</td>\n",
       "      <td>443.4228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FDN15</td>\n",
       "      <td>17.50</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>0.016760</td>\n",
       "      <td>Meat</td>\n",
       "      <td>141.6180</td>\n",
       "      <td>OUT049</td>\n",
       "      <td>1999</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 1</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "      <td>2097.2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FDX07</td>\n",
       "      <td>19.20</td>\n",
       "      <td>Regular</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Fruits and Vegetables</td>\n",
       "      <td>182.0950</td>\n",
       "      <td>OUT010</td>\n",
       "      <td>1998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>732.3800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NCD19</td>\n",
       "      <td>8.93</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Household</td>\n",
       "      <td>53.8614</td>\n",
       "      <td>OUT013</td>\n",
       "      <td>1987</td>\n",
       "      <td>High</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "      <td>994.7052</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility  \\\n",
       "0           FDA15         9.30          Low Fat         0.016047   \n",
       "1           DRC01         5.92          Regular         0.019278   \n",
       "2           FDN15        17.50          Low Fat         0.016760   \n",
       "3           FDX07        19.20          Regular         0.000000   \n",
       "4           NCD19         8.93          Low Fat         0.000000   \n",
       "\n",
       "               Item_Type  Item_MRP Outlet_Identifier  \\\n",
       "0                  Dairy  249.8092            OUT049   \n",
       "1            Soft Drinks   48.2692            OUT018   \n",
       "2                   Meat  141.6180            OUT049   \n",
       "3  Fruits and Vegetables  182.0950            OUT010   \n",
       "4              Household   53.8614            OUT013   \n",
       "\n",
       "   Outlet_Establishment_Year Outlet_Size Outlet_Location_Type  \\\n",
       "0                       1999      Medium               Tier 1   \n",
       "1                       2009      Medium               Tier 3   \n",
       "2                       1999      Medium               Tier 1   \n",
       "3                       1998         NaN               Tier 3   \n",
       "4                       1987        High               Tier 3   \n",
       "\n",
       "         Outlet_Type  Item_Outlet_Sales  \n",
       "0  Supermarket Type1          3735.1380  \n",
       "1  Supermarket Type2           443.4228  \n",
       "2  Supermarket Type1          2097.2700  \n",
       "3      Grocery Store           732.3800  \n",
       "4  Supermarket Type1           994.7052  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('BigMart Sales Data.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7f869242",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 12)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2501d1bb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8523 entries, 0 to 8522\n",
      "Data columns (total 12 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   Item_Identifier            8523 non-null   object \n",
      " 1   Item_Weight                7060 non-null   float64\n",
      " 2   Item_Fat_Content           8523 non-null   object \n",
      " 3   Item_Visibility            8523 non-null   float64\n",
      " 4   Item_Type                  8523 non-null   object \n",
      " 5   Item_MRP                   8523 non-null   float64\n",
      " 6   Outlet_Identifier          8523 non-null   object \n",
      " 7   Outlet_Establishment_Year  8523 non-null   int64  \n",
      " 8   Outlet_Size                6113 non-null   object \n",
      " 9   Outlet_Location_Type       8523 non-null   object \n",
      " 10  Outlet_Type                8523 non-null   object \n",
      " 11  Item_Outlet_Sales          8523 non-null   float64\n",
      "dtypes: float64(4), int64(1), object(7)\n",
      "memory usage: 799.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "19dd0ca4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Item_Identifier                 0\n",
       "Item_Weight                  1463\n",
       "Item_Fat_Content                0\n",
       "Item_Visibility                 0\n",
       "Item_Type                       0\n",
       "Item_MRP                        0\n",
       "Outlet_Identifier               0\n",
       "Outlet_Establishment_Year       0\n",
       "Outlet_Size                  2410\n",
       "Outlet_Location_Type            0\n",
       "Outlet_Type                     0\n",
       "Item_Outlet_Sales               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "858b2c7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "count of categiorical features in the dataset:  7\n",
      "count of numerical features in the dataset:  5\n"
     ]
    }
   ],
   "source": [
    "categorical_data = df.select_dtypes(include=[object])\n",
    "print(\"count of categiorical features in the dataset: \",categorical_data.shape[1])\n",
    "numerical_data = df.select_dtypes(include=[np.float64,np.int64])\n",
    "print(\"count of numerical features in the dataset: \",numerical_data.shape[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9173ed09",
   "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>Item_Identifier</th>\n",
       "      <th>Item_Fat_Content</th>\n",
       "      <th>Item_Type</th>\n",
       "      <th>Outlet_Identifier</th>\n",
       "      <th>Outlet_Size</th>\n",
       "      <th>Outlet_Location_Type</th>\n",
       "      <th>Outlet_Type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FDA15</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Dairy</td>\n",
       "      <td>OUT049</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 1</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DRC01</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Soft Drinks</td>\n",
       "      <td>OUT018</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FDN15</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Meat</td>\n",
       "      <td>OUT049</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 1</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FDX07</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Fruits and Vegetables</td>\n",
       "      <td>OUT010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NCD19</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Household</td>\n",
       "      <td>OUT013</td>\n",
       "      <td>High</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Item_Identifier Item_Fat_Content              Item_Type Outlet_Identifier  \\\n",
       "0           FDA15          Low Fat                  Dairy            OUT049   \n",
       "1           DRC01          Regular            Soft Drinks            OUT018   \n",
       "2           FDN15          Low Fat                   Meat            OUT049   \n",
       "3           FDX07          Regular  Fruits and Vegetables            OUT010   \n",
       "4           NCD19          Low Fat              Household            OUT013   \n",
       "\n",
       "  Outlet_Size Outlet_Location_Type        Outlet_Type  \n",
       "0      Medium               Tier 1  Supermarket Type1  \n",
       "1      Medium               Tier 3  Supermarket Type2  \n",
       "2      Medium               Tier 1  Supermarket Type1  \n",
       "3         NaN               Tier 3      Grocery Store  \n",
       "4        High               Tier 3  Supermarket Type1  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e793a602",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Outlet_Size', ylabel='count'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEJCAYAAACDscAcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAAeCElEQVR4nO3de1RVdf7/8efhphByOQe84KUGjVykhA1UYnlJclpZxipy5ZSNWpGCOqk5qdPMuL5ewpQoS3NWIk7WqhwzljXNVOgSlvpbRQE6paY0XmqJIZwjCEkI5/z+cDxLxsrzUTgH4/X4i/3Zt/d2u3nx+ex99rG4XC4XIiIiHvLzdQEiInJlUXCIiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIkQBfF+ANx44d83UJIiJXlJiYmJ+cpx6HiIgYUXCIiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIEQWHiIgYUXCIiIgRBYeIiBjpFJ8cN1E59zFfl/CL12v5Wl+XICKXQT0OERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMeKVbwCsrq5m1apVnDx5EovFQmpqKnfddRcbN25k69athIWFATBhwgRuvPFGAN599122bduGn58fkydPJjExEYDy8nLy8/NxOp2MHj2atLQ0bxyCiIj8l1eCw9/fn4kTJxIbG8vp06eZN28eCQkJAIwdO5Zx48a1Wv7bb79l165dPP/88zgcDhYtWsSLL74IQF5eHs888ww2m4358+eTlJREnz59vHEYIiKCl4IjMjKSyMhIAIKDg+nduzd2u/0nly8pKSElJYXAwEC6d+9Oz549qaioAKBnz5706NEDgJSUFEpKShQcIiJe5JXgOF9VVRWHDh1iwIAB7N+/nw8//JDi4mJiY2N55JFHCA0NxW63c+2117rXsVqt7qCx2WzudpvNxsGDBy/YR2FhIYWFhQBkZ2cTFRXlcX2Vl3pg4jGT8yEiHY9Xg6OxsZGcnBwmTZpESEgIY8aMIT09HYC3336b1157jczMzMveT2pqKqmpqe7p6urqy96mtB2dD5GOLyYm5ifnee2pqubmZnJycrjtttu4+eabAYiIiMDPzw8/Pz9Gjx7N119/DZztYdTU1LjXtdvtWK3WC9pramqwWq3eOgQREcFLweFyuVizZg29e/fm7rvvdrc7HA73z59++il9+/YFICkpiV27dnHmzBmqqqqorKxkwIAB9O/fn8rKSqqqqmhubmbXrl0kJSV54xBEROS/vDJU9dVXX1FcXEy/fv2YO3cucPbR2507d3L48GEsFgvR0dFkZGQA0LdvX4YOHcrs2bPx8/Pj0Ucfxc/vbMZNmTKFJUuW4HQ6GTVqlDtsRETEOywul8vl6yLa27FjxzxetnLuY+1YiQD0Wr7W1yWIyEV0iHscIiLyy6DgEBERIwoOEREx4vUPAIqI/JgPt+jjt+3tN+N6tcl21OMQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExEuCNnVRXV7Nq1SpOnjyJxWIhNTWVu+66i/r6enJzczlx4gTR0dHMmjWL0NBQXC4X+fn5lJWV0aVLFzIzM4mNjQVg+/btbN68GYD77ruPkSNHeuMQRETkv7wSHP7+/kycOJHY2FhOnz7NvHnzSEhIYPv27QwePJi0tDQKCgooKCjg4YcfpqysjOPHj7Ny5UoOHjzI2rVrWbp0KfX19WzatIns7GwA5s2bR1JSEqGhod44DBERwUtDVZGRke4eQ3BwML1798Zut1NSUsKIESMAGDFiBCUlJQB89tlnDB8+HIvFQlxcHA0NDTgcDsrLy0lISCA0NJTQ0FASEhIoLy/3xiGIiMh/ef0eR1VVFYcOHWLAgAHU1tYSGRkJQEREBLW1tQDY7XaioqLc69hsNux2O3a7HZvN5m63Wq3Y7XbvHoCISCfnlaGqcxobG8nJyWHSpEmEhIS0mmexWLBYLG2yn8LCQgoLCwHIzs5uFUIXU9kmFcjPMTkf0pno6mtvbXXteS04mpubycnJ4bbbbuPmm28GIDw8HIfDQWRkJA6Hg7CwMOBsT6K6utq9bk1NDVarFavVyt69e93tdrud+Pj4C/aVmppKamqqe/r8bYnv6XyI+IbJtRcTE/OT87wyVOVyuVizZg29e/fm7rvvdrcnJSVRVFQEQFFREcnJye724uJiXC4XBw4cICQkhMjISBITE9m9ezf19fXU19eze/duEhMTvXEIIiLyX17pcXz11VcUFxfTr18/5s6dC8CECRNIS0sjNzeXbdu2uR/HBRgyZAilpaXMnDmToKAgMjMzAQgNDeX+++9n/vz5AKSnp+uJKhERL7O4XC6Xr4tob8eOHfN42cq5j7VjJQLQa/laX5cgHdCHW3SPo739Zlwvj5f1+VCViIj8cig4RETEiIJDRESMKDhERMSIgkNERIwoOERExIiCQ0REjCg4RETEiIJDRESMKDhERMSIgkNERIwoOERExIiCQ0REjCg4RETEiIJDRESMKDhERMSIgkNERIwoOERExIiCQ0REjCg4RETEiMfBsWXLlh9tf//999usGBER6fg8Do533nnHqF1ERH6ZAi62wBdffAGA0+l0/3zOd999R3BwcPtUJiIiHdJFg+OVV14BoKmpyf0zgMViISIigilTprRfdSIi0uFcNDhWrVoFwMsvv8z06dPbvSAREenYLhoc55wfGk6ns9U8Pz89nCUi0ll4HBz/+c9/yMvL4+jRozQ1NbWa9/bbb7d5YSIi0jF5HByrVq3i17/+NdOmTaNLly7tWZOIiHRgHgdHdXU1EyZMwGKxGO9k9erVlJaWEh4eTk5ODgAbN25k69athIWFATBhwgRuvPFGAN599122bduGn58fkydPJjExEYDy8nLy8/NxOp2MHj2atLQ041pEROTyeBwcycnJ7N692/1L3MTIkSO588473Tfazxk7dizjxo1r1fbtt9+ya9cunn/+eRwOB4sWLeLFF18EIC8vj2eeeQabzcb8+fNJSkqiT58+xvWIiMil8zg4zpw5w4oVKxg4cCARERGt5l3saav4+Hiqqqo82k9JSQkpKSkEBgbSvXt3evbsSUVFBQA9e/akR48eAKSkpFBSUqLgEBHxMo+Do0+fPm3+S/rDDz+kuLiY2NhYHnnkEUJDQ7Hb7Vx77bXuZaxWK3a7HQCbzeZut9lsHDx4sE3rERGRi/M4OB544IE23fGYMWNIT08Hzj6V9dprr5GZmdkm2y4sLKSwsBCA7OxsoqKiPF63sk0qkJ9jcj6kM9HV197a6trzODj+93Uj5xs0aJDxjs8f7ho9ejTLli0DzvYwampq3PPsdjtWqxWgVXtNTY27/X+lpqaSmprqnq6urjauT9qPzoeIb5hcezExMT85z+PgOP91IwB1dXU0Nzdjs9l4+eWXPS7mHIfDQWRkJACffvopffv2BSApKYmVK1dy991343A4qKysZMCAAbhcLiorK6mqqsJqtbJr1y5mzpxpvF8REbk8Rp/jOJ/T6eSdd97x6CWHL7zwAnv37uXUqVNMnTqV8ePH8+WXX3L48GEsFgvR0dFkZGQA0LdvX4YOHcrs2bPx8/Pj0UcfdX8yfcqUKSxZsgSn08moUaPcYSMiIt5jcblcrktduaWlhalTp/Lqq6+2ZU1t7tixYx4vWzn3sXasRAB6LV/r6xKkA/pwi+5xtLffjOvl8bI/N1R1WS+Z2rNnj95TJSLSyXg8VDVt2rRW001NTTQ1NfHYY/oLXUSkM/E4OGbMmNFqukuXLvTq1YuQkJA2L0pERDouj4MjPj4eOHtTvLa2lvDwcA1TiYh0Qh4Hx+nTp8nLy2PXrl20tLTg7+9PSkoKU6ZMUa9DRKQT8bjLsG7dOhobG1mxYgWvv/46K1asoKmpiXXr1rVnfSIi0sF4HBzl5eXMmDGDmJgYAgMDiYmJITMzk927d7dnfSIi0sF4HBxBQUHU1dW1aqurqyMgwOPRLhER+QXw+Lf+7bffzuLFixk7dizR0dGcOHGCf/zjH4wePbo96xMRkQ7G4+C47777sFqt7Nixw/3iwXvvvZfbb7+9PesTEZEOxuPgyM/PZ9iwYfzpT39yt3311VesX7+eSZMmtUdtIiLSAXl8j2Pnzp3079+/VVtsbCw7duxo86JERKTj8jg4LBYLTqezVZvT6eQy3pEoIiJXII+DY+DAgbz11lvu8HA6nfz9739n4MCB7VaciIh0PB7f45g8eTLZ2dk88cQTREVFUV1dTWRkJE8//XR71iciIh2Mx8Fhs9lYtmwZFRUV1NTUYLPZGDBggN5XJSLSyRh9es/Pz4+4uLj2qkVERK4A6i6IiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIEQWHiIgYUXCIiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIEaN3VV2q1atXU1paSnh4ODk5OQDU19eTm5vLiRMniI6OZtasWYSGhuJyucjPz6esrIwuXbqQmZlJbGwsANu3b2fz5s3A2a+yHTlypDfKFxGR83ilxzFy5EgWLFjQqq2goIDBgwezcuVKBg8eTEFBAQBlZWUcP36clStXkpGRwdq1a4GzQbNp0yaWLl3K0qVL2bRpE/X19d4oX0REzuOV4IiPjyc0NLRVW0lJCSNGjABgxIgRlJSUAPDZZ58xfPhwLBYLcXFxNDQ04HA4KC8vJyEhgdDQUEJDQ0lISKC8vNwb5YuIyHl8do+jtraWyMhIACIiIqitrQXAbrcTFRXlXs5ms2G327Hb7dhsNne71WrFbrd7t2gREfHOPY6LsVgsWCyWNtteYWEhhYWFAGRnZ7cKooupbLMq5KeYnA/pTHT1tbe2uvZ8Fhzh4eE4HA4iIyNxOByEhYUBZ3sS1dXV7uVqamqwWq1YrVb27t3rbrfb7cTHx//otlNTU0lNTXVPn7898T2dDxHfMLn2YmJifnKez4aqkpKSKCoqAqCoqIjk5GR3e3FxMS6XiwMHDhASEkJkZCSJiYns3r2b+vp66uvr2b17N4mJib4qX0Sk0/JKj+OFF15g7969nDp1iqlTpzJ+/HjS0tLIzc1l27Zt7sdxAYYMGUJpaSkzZ84kKCiIzMxMAEJDQ7n//vuZP38+AOnp6RfccBcRkfZncblcLl8X0d6OHTvm8bKVcx9rx0oEoNfytb4uQTqgD7foHkd7+824Xh4v+3NDVR3i5rhIW5j0t//n6xJ+8db/bqivS5AOQK8cERERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETGi4BARESMKDhERMaLgEBERIwoOERExouAQEREjCg4RETES4OsCsrKy6Nq1K35+fvj7+5OdnU19fT25ubmcOHGC6OhoZs2aRWhoKC6Xi/z8fMrKyujSpQuZmZnExsb6+hBERDoVnwcHwF/+8hfCwsLc0wUFBQwePJi0tDQKCgooKCjg4YcfpqysjOPHj7Ny5UoOHjzI2rVrWbp0qQ8rFxHpfDrkUFVJSQkjRowAYMSIEZSUlADw2WefMXz4cCwWC3FxcTQ0NOBwOHxZqohIp9MhehxLliwB4I477iA1NZXa2loiIyMBiIiIoLa2FgC73U5UVJR7PZvNht1udy97TmFhIYWFhQBkZ2e3WudiKi/rSMQTJudDOpb2PXe6+tpbW50/nwfHokWLsFqt1NbWsnjxYmJiYlrNt1gsWCwWo22mpqaSmprqnq6urm6TWqVt6HxcuXTurmwm5+9/fxefz+dDVVarFYDw8HCSk5OpqKggPDzcPQTlcDjc9z+sVmurA6+pqXGvLyIi3uHT4GhsbOT06dPun/fs2UO/fv1ISkqiqKgIgKKiIpKTkwFISkqiuLgYl8vFgQMHCAkJuWCYSkRE2pdPh6pqa2tZsWIFAC0tLdx6660kJibSv39/cnNz2bZtm/txXIAhQ4ZQWlrKzJkzCQoKIjMz05fli4h0Sj4Njh49erB8+fIL2rt168af//znC9otFguPPfaYN0oTEZGf4PN7HCIicmVRcIiIiBEFh4iIGFFwiIiIEQWHiIgYUXCIiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIEQWHiIgYUXCIiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIEQWHiIgYUXCIiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIEQWHiIgYUXCIiIgRBYeIiBhRcIiIiBEFh4iIGFFwiIiIkQBfF3ApysvLyc/Px+l0Mnr0aNLS0nxdkohIp3HF9TicTid5eXksWLCA3Nxcdu7cybfffuvrskREOo0rLjgqKiro2bMnPXr0ICAggJSUFEpKSnxdlohIp3HFDVXZ7XZsNpt72mazcfDgwVbLFBYWUlhYCEB2djYxMTEebz/mjQ/aplDxuo/m3+/rEuQyTJ7q+XUqvnXF9Tg8kZqaSnZ2NtnZ2b4upd3NmzfP1yXIZdD5u3J15nN3xQWH1WqlpqbGPV1TU4PVavVhRSIincsVFxz9+/ensrKSqqoqmpub2bVrF0lJSb4uS0Sk07ji7nH4+/szZcoUlixZgtPpZNSoUfTt29fXZflMamqqr0uQy6Dzd+XqzOfO4nK5XL4uQkRErhxX3FCViIj4loJDRESMKDh8YPz48axcudI93dLSwqOPPmr8+PDChQv5+uuvAXj22WdpaGho0zrl0kycOLHV9Pbt28nLywPgo48+oqio6GfXP3958Z7Nmzcze/ZsnnrqKebOnXvB58Muxbn/C1VVVcyZM+eyt9dRXHE3x38JunTpwjfffENTUxNBQUHs2bPnsh8pnj9/fhtVJ+1pzJgxvi5BfsSBAwf4/PPPWbZsGYGBgdTV1dHc3OzrsjosBYePDBkyhNLSUm655RZ27tzJsGHD2L9/PwCNjY2sW7eOb775hpaWFh544AGSk5Npampi9erVHDlyhJiYGJqamtzby8rK4tlnn6WxsZFly5aRk5MDwJYtW2hsbGT8+PEsXLiQa665hv379/PDDz+QlZVFQUEBR48eJSUlhQcffNAn/xadycaNG+natSvjxo2joqKCNWvWYLFYSEhIoLy83H3eHA4HS5Ys4bvvvuOmm27i4Ycf9nHlv2wOh4Nu3boRGBgIQFhYGHD2uho2bBhlZWX4+/uTkZHBm2++yfHjx7nnnnsYM2YMjY2NPPfcczQ0NNDc3MyDDz5IcnKyLw+n3Sk4fGTYsGFs2rSJG2+8kSNHjjBq1Ch3cGzevJlBgwaRmZlJQ0MDCxYsYPDgwRQWFhIUFERubi5Hjhzh6aefNt5vQEAA2dnZfPDBByxfvpzs7GxCQ0OZMWMGY8eOpVu3bm19qJ1OU1MTc+fOdU/X19f/6GeNXnnlFZ544gni4uJ44403Ws07fPgwzz33HAEBATz55JPceeedREVFtXvtndUNN9zApk2b+P3vf8/gwYNJSUkhPj4egKioKJYvX8769etZvXo1ixYt4syZM8yZM4cxY8YQGBjIU089RUhICHV1dfzxj38kKSkJi8Xi46NqPwoOH7n66qs5ceIEO3fuZMiQIa3m7dmzh88//5z33nsPOPuLqLq6mr1793LXXXe517/66quN93vuF1i/fv3o06cPkZGRAPTo0YOamhoFRxsICgpi+fLl7unt27e770Wd09DQwOnTp4mLiwPg1ltvpbS01D1/0KBBhISEANCnTx+qq6sVHO2oa9euLFu2jH379vHll1+Sm5vLQw89BLS+ZhobGwkODiY4OJiAgAAaGhro0qULb775Jvv27cNisWC326mtrSUiIsKHR9S+FBw+lJSUxIYNG1i4cCGnTp1yt7tcLubMmWP0csZz/P39cTqd7ukzZ860mn+uK26xWNw/n5tuaWkx3p+0j/PPjZ+fn86NF/j5+XH99ddz/fXX069fP7Zv3w6c7aWfm/9j52XHjh3U1dWRnZ1NQEAAWVlZrYaRf4n0VJUPjRo1ivT0dPr169eq/YYbbuCf//wn5z6beejQIQDi4+PZsWMHAEePHuXIkSMXbDM8PJy6ujpOnTrFmTNnWv0VKx3HVVddRXBwsPvJnZ07d/q4os7t2LFjVFZWuqcPHz5MdHS0R+t+//33hIeHExAQwBdffMGJEyfaq8wOQz0OH7LZbO6hp/Olp6ezfv16nnrqKVwuF927d2fevHmMGTOG1atXM2vWLHr37k1sbOwF6wYEBHD//fezYMECrFbrJfVaxDumTp3KX//6VywWC/Hx8e6hKfG+cw+kNDQ04O/vT8+ePcnIyPDoD69bb72VZcuWMWfOHPr370/v3r29ULFv6ZUjIj7S2NhI165dASgoKMDhcDB58mQfVyVycepxiPhIaWkp7777Lk6nk6ioKLKysnxdkohH1OMQEREjujkuIiJGFBwiImJEwSEiIkYUHCIiYkTBIdKGqqqqGD9+vFc/6V1dXc3EiRNbvTFApD3pcVzp9LZv3857773Hd999R3BwMDfddBO//e1vueqqqy66blZWFk888QQJCQmXtN+tW7eyaNGiiy5bU1NDfn4++/bto7m5maioKO655x5GjhxJVFQUGzZsMN6/yKVScEin9t5777FlyxaysrIYNGgQdrudvLw8Fi9ezKJFi9zvKfK1l19+mauvvppVq1YRGBjI0aNHOXnypK/Lkk6qY1wVIj7w/fffs3HjRqZNm0ZiYiIA3bt3Z9asWWRlZVFcXMy+ffuw2Wzu7yr58ssveemll1izZg0vvfQS1dXVLFu2DD8/P9LT0xk6dOgF+/jb3/5GWVkZFouFUaNGMX78eI4dO8arr75Kc3MzEydOxN/fn/Xr1/9krRUVFfzud79zf9L8V7/6lXteVVUV06dP58033+Trr79u1YNxOp1ERESwatUqnE4nW7ZsYevWrTQ0NDBo0CAyMjIIDQ1to39R6SwUHNJpHThwgDNnznDzzTe3au/atStDhgxhz549rd6G+r9mzJjB/v37Ww1VVVVVtVpm1apVhIeHs3LlSn744Qeys7Ox2WzccccdPP744x4PVcXFxZGXl8edd97Jdddd95OvWI+Li3MPWzU3N7No0SKuu+46AP71r39RUlLCwoULCQsLIz8/n7Vr1/Lkk09edP8i59PNcem06urq6NatG/7+/hfMi4yMbPWq+0tx8uRJysrKmDRpEl27diU8PJyxY8eya9cu423NmjWLgQMH8s4775CVlcXcuXOpqKj42XXy8/MJDg5295Y+/vhjHnzwQWw2G4GBgTzwwAN88sknemW7GFOPQzqtsLAwTp06RUtLywXhce6rRC9HdXU1LS0tZGRkuNtcLhc2m814W6GhoTz00EM89NBD1NXVsWHDBpYvX86aNWt+dPmPP/6YvXv3smTJEvz8zv59eOLECVasWNHqm+n8/Pyora297O+8l85FwSGdVlxcHIGBgXzyySekpKS42xsbGykvL2fChAkcOnSIH374wT3P5Ia0zWYjICCAvLy8H+3VXKqwsDDuueceioqKqK+vv2D+vn37ePvtt/m///u/Vq9qt9lsTJs2jYEDB7ZZLdI5aahKOq2QkBDS09PJz8+nvLyc5uZmqqqqyM3NxWazMXz4cK655hrKysqor6/n5MmTfPDBB622ERERccF9jXMiIyO54YYbeO211/j+++9xOp0cP36cvXv3ute12+00NzdftNbXX3+do0eP0tLSwunTp/noo4/o2bPnBb2i6upqcnNzmT59+gXfxXLHHXfw1ltvub9oqK6ujpKSEo//vUTOUY9DOrV7772Xbt26sWHDBo4fP05ISAjJycnMmDGDwMBAhg8fzr///W+ysrKIjo5m5MiRvP/+++7109LSWLduHa+//jr33Xcft9xyS6vtT58+nTfeeIPZs2dz+vRpevTowb333guc/V7xPn368Pjjj+Pn50deXt5P1tnU1MSKFStwOBwEBQVx7bXX8oc//OGC5b744gtqa2vJyclxt0VHR/P888+7vzRs8eLFOBwOwsPDGTp0KMnJyZf1byidj16rLiIiRjRUJSIiRjRUJdJBzJ49233/4XwZGRncdtttPqhI5MdpqEpERIxoqEpERIwoOERExIiCQ0REjCg4RETEyP8HJVjs6mmugHcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Outlet_Size', data=categorical_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "beb007f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Medium    2793\n",
       "Small     2388\n",
       "High       932\n",
       "Name: Outlet_Size, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_data['Outlet_Size'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "03489636",
   "metadata": {},
   "outputs": [],
   "source": [
    "categorical_data['Outlet_Size'] = categorical_data['Outlet_Size'].fillna(categorical_data['Outlet_Size'].mode()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6b19ba28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Item_Identifier         0\n",
       "Item_Fat_Content        0\n",
       "Item_Type               0\n",
       "Outlet_Identifier       0\n",
       "Outlet_Size             0\n",
       "Outlet_Location_Type    0\n",
       "Outlet_Type             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "03e5f554",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Item_Fat_Content', ylabel='count'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Item_Fat_Content', data = categorical_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b032804b",
   "metadata": {},
   "outputs": [],
   "source": [
    "categorical_data.replace({'Item_Fat_Content':{'low fat':'Low Fat', 'LF':'Low Fat','reg':'Regular'}}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "58414c08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Item_Fat_Content', ylabel='count'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Item_Fat_Content', data = categorical_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "83e5da75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Outlet_Identifier'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ0AAAEJCAYAAABPKPr3AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAAxRklEQVR4nO3df3TU1Z3/8eckJITYAJkZoV9JKBGS1lVqBtO1lTUGzfLd47H2x9q10cYkwkpFFLcnAfZglW7XBCuIrU4gNkENrZTSlPqjPd1uFEIjIPEHa2OVSKRtApYwMwkwSZiZZD7fP/J11jE/R5PPpMnrcY7nzNzPr/fnnjFv7v3cz70WwzAMRERETBAT7QBERGTyUNIRERHTKOmIiIhplHRERMQ0SjoiImIaJR0RETHNlGgHMN6dPHky2iGMK3a7HZfLFe0wxg3VRzjVR7jJWh8XXXTRoNvU0hEREdOopTOMuGdfinYI48oZIC7aQYwjqo9wqo9wf2v1EfjKtWN+DbV0RETENEo6IiJiGiUdERExjZKOiIiYxrSBBG63m6qqKlpbWzEMg0WLFpGfn099fT3Nzc0sW7YstO+GDRvIz8+nqqqKQCCA1+vF7/djtVoBKCkpwev14nQ68fv9OBwOioqKsFgsoXM8//zz7Nixg8rKSqZPn47X62Xr1q2cOnWKuLg47rzzTubOnWvW7YuICCYlHcMw2LRpE0uXLmXNmjUEg0EqKirYuXMnqampgx5XWloKwL59+/olpi1btrBixQrS09MpKyvjyJEjOBwOAFwuF2+++SZ2uz20/549e5g3bx4lJSWcOHGCqqoq7r///jG6YxERGYgp3WuNjY3Ex8ezZMmSvovGxFBQUMDevXvx+XwRn6+9vZ3u7m4yMjKwWCxkZ2fT0NAQ2v70009z6623hrV8WltbueyyywCYM2cOp0+fpqOj45PdmIiIRMSUpNPS0kJaWlpYWWJiIna7nd7e3ojP5/F4sNlsoe82mw2PxwNAQ0MDVquVefPmhR3zmc98hldeeQWAY8eOcfr06dAxH1ZbW8u6detYt25dxHGJiMjQov5yaGdn54DlH26ljJTP52PPnj3cd999/bZ99atf5amnnqKkpIS5c+eSlpZGTEz/nJubm0tubm7E1xYRkeGZknRSUlJCrYwPdHV14XK5SEtL48CBA2HbvF4vSUlJg57ParXidrtD391uN1arlVOnTtHW1kZJSUmofO3atZSVlTFz5kxWrlwJ9D1jWrVqFbNmzRqtWxQRkREwpXtt4cKF+Hw+6urqAAgGg1RXV5OTk8OCBQs4evRo6PlKc3MzgUAgrPvso5KTk5k2bRpNTU0YhsH+/fvJyspi7ty5VFZW4nQ6cTqd2Gw2HnroIWbOnElnZyc9PT0AvPjii1xyySUkJiaO+b2LiMj/MqWlY7FYKC4uprKykpqaGgzDwOFwkJeXR1xcHIWFhZSVlREMBklISGD16tUDdn192PLlyykvL8fv95OZmRkauTaYEydO4HQ6AUhNTeXb3/72qN2fiIiMjMUwDCPaQYxnp7f+JNohiIiYYrQm/NTSBiIiMi4o6YiIiGmUdERExDRRf09nvDNjUaO/JZN1+d3BqD7CqT7CqT76U0tHRERMo6QjIiKmUdIRERHT6JnOMM7uuTPaIYwrZ6MdwDij+gin+gj3t1Yf07+2dcyvoZaOiIiYRklHRERMo6QjIiKmUdIRERHTKOmIiIhpTBu95na7qaqqorW1FcMwWLRoEfn5+dTX19Pc3MyyZctC+27YsIH8/HyqqqoIBAJ4vV78fj9WqxWAkpISvF4vTqcTv9+Pw+GgqKgIi8XCwYMH2b17NydOnKC0tJT58+cD0NPTw7Zt2zh+/DjBYJDs7Gy+9rWvmXX7IiKCSUnHMAw2bdrE0qVLWbNmDcFgkIqKCnbu3Elqauqgx5WWlgKwb9++folpy5YtrFixgvT0dMrKyjhy5AgOh4PU1FSKi4t54oknws516NAhenp62Lx5Mz6fj+985zssXrxYq4eKiJjIlO61xsZG4uPjWbJkSd9FY2IoKChg7969+Hy+iM/X3t5Od3c3GRkZWCwWsrOzaWhoAPqWxh5sLYfz58/T29uL3+9nypQpWjlURMRkprR0WlpaSEtLCytLTEzEbrfT29sb8fk8Hk/YctY2mw2PxzPkMV/84hd59dVXueOOO/D7/RQUFPCpT32q3361tbXU1tYCsHHjxohjExGRwUV9RoLOzs4Byy0Wy6he59ixY8TExFBRUUFnZyf3338/CxcuZPbs2WH75ebmkpubO6rXFhGRPqZ0r6WkpHD8+PGwsq6uLlwuF2lpaf0Sj9frJSkpadDzWa1W3G536Lvb7Q4NMhhMfX09mZmZTJkyhRkzZvDZz36W5ubmj3E3IiLycZmSdBYuXIjP56Ourg6AYDBIdXU1OTk5LFiwgKNHj9LR0QFAc3MzgUAgrPvso5KTk5k2bRpNTU0YhsH+/fvJysoaMga73U5jYyPQ92zn3XffZc6cOaNzgyIiMiIWwzAMMy7kcrmorKzk5MmTGIaBw+EgPz+fuLg4Ghoa+MUvfkEwGCQhIYGioiIuvvji0LEDjV5rbm6mvLwcv99PZmYmt99+OxaLhcOHD7N9+3bOnj3LBRdcwLx581i/fj3nz5+nvLw8NGR7yZIl3HjjjcPG/Y7zK2NSHyIi481oTfg52GAuMDHp/K1S0hGRycKMpKMZCURExDRKOiIiYholHRERMY2e6Qzj5MmT0Q5hXLHb7bhcrmiHMW6oPsKpPsJN1vrQMx0RERkXlHRERMQ0SjoiImKaqM+9Nt4d+K/box2CiKmu+r/box2CTGBq6YiIiGmUdERExDRKOiIiYholHRERMY2SjoiImMa00Wtut5uqqqrQ0gKLFi0iPz+f+vr6fssWbNiwgfz8fKqqqggEAni9Xvx+f2ihtpKSErxeL06nE7/fj8PhoKioCIvFwsGDB9m9ezcnTpygtLSU+fPnh867Z88eXnrpJWJiYigqKiIzM9Os2xcREUxKOoZhsGnTJpYuXcqaNWsIBoNUVFSwc+dOUlNTBz2utLQUGHg9nS1btrBixQrS09MpKyvjyJEjOBwOUlNTKS4u5oknngg7V2trKwcOHOCRRx6hvb2d73//+/zwhz8kJkaNPRERs5jyF7exsZH4+HiWLFnSd9GYGAoKCti7dy8+ny/i87W3t9Pd3U1GRgYWi4Xs7GwaGhqAvqWxB5r3p6Ghgauuuoq4uDhmzZrFpz/9aY4dO/bJbkxERCJiSkunpaWFtLS0sLLExETsdju9vb0Rn8/j8YQtZ22z2fB4PMMek56eHvputVoHPKa2tpba2loANm7cGHFsIiIyuKjPSNDZ2TlgucViMTmSPrm5ueTm5kbl2iIiE50p3WspKSkcP348rKyrqwuXy0VaWlq/xOP1eklKShr0fFarFbfbHfrudrtDgwxGeozH4xn2GBERGV2mJJ2FCxfi8/moq6sDIBgMUl1dTU5ODgsWLODo0aN0dHQA0NzcTCAQCOs++6jk5GSmTZtGU1MThmGwf/9+srKyhowhKyuLAwcOEAgEaGtr4/3332fBggWjdo8iIjI8U7rXLBYLxcXFVFZWUlNTg2EYOBwO8vLyiIuLo7CwkLKyMoLBIAkJCaxevXrYUWXLly+nvLwcv99PZmYmDocDgMOHD7N9+3bOnj3Lxo0bmTdvHuvXryc1NZUvfelLfOc73yEmJoZly5Zp5JqIiMm0cugwfvHkP0U7BBFTfZJZpifrSpmDmaz1oZVDRURkXFDSERER04z4mU4wGGT37t18/etfJy4ubixjGle0oFW4ydpdMBjVh0hkRtzSiYmJ4Xe/+x2xsbFjGY+IiExgEXWvZWdn89///d9jFYuIiExwEQ2ZPnbsGL/97W957rnnsNlsYbMGfO973xv14EREZGKJKOlcd911XHfddWMVi4iITHB6T2cYG37+f6MdgoiIae74hyc/8TmGek8nopaOYRi8+OKLvPzyy5w7d45Nmzbxxz/+kY6ODq666qpPHKiIiExsEQ0k2LVrF3v37iU3Nzc0TNRms/Hss8+OSXAiIjKxRJR06urqWLt2LYsXLw4NIpg1axZtbW1jEpyIiEwsESWdDybk/LDz58/3KxMRERlIRM90HA4H1dXVFBQUAH3PeHbt2sUVV1wx7LFut5uqqipaW1sxDINFixaRn59PfX09zc3NLFu2LLTvhg0byM/Pp6qqikAggNfrxe/3h9a/KSkpwev14nQ68fv9OBwOioqKsFgsHDx4kN27d3PixAlKS0uZP38+0Dfcu6KiInSNb3zjG/z93/99JLcvIiKfUERJ57bbbsPpdFJYWEhPTw+33XYbn//851m1atWQxxmGwaZNm1i6dClr1qwhGAxSUVHBzp07SU1NHfS40tJSAPbt29cvMW3ZsoUVK1aQnp5OWVkZR44cweFwkJqaSnFxMU888UTYuVJTU9m4cSOxsbG0t7dTUlLCFVdcoRkWRERMFFHSSUxMpKSkhI6ODlwuF3a7nZkzZw57XGNjI/Hx8SxZsgTom1KnoKCAVatWcfPNN0ccdHt7O93d3WRkZAB9MyU0NDTgcDhISUkZ8JipU6eGPgcCgagthy0iMpkNm3QMwwj9gQ4GgwBMnz6d6dOnh5UNtSBaS0sLaWlpYWWJiYnY7XZ6e3sjDtrj8YStLGqz2fB4PMMe9+6777J161ZOnz7N3XffPWArp7a2ltraWgA2btwYcWwiIjK4YZNOQUEB1dXVAOTl5Q26365duz5WAJ2dnQOWj0VLJD09nUceeYTW1lacTieZmZnEx8eH7ZObm0tubu6oX1tEREaQdB555JHQ58cff/xjXSQlJYVXXnklrKyrqwuXy0VaWhoHDhwI2+b1eklKShr0fFarFbfbHfrudrtDgwxGGk9CQgItLS2hgQYiIjL2hh0yvX79+tDn3bt3c+GFFw7431AWLlyIz+ejrq4O6OuSq66uJicnhwULFnD06FE6OjoAaG5uJhAIhHWffVRycjLTpk2jqakJwzDYv38/WVlZQ8bQ1tYW6so7ffo0J0+eHDZuEREZXcO2dHp6ejh37hxJSUm88sorrFy5MuKLWCwWiouLqayspKamBsMwcDgc5OXlERcXR2FhIWVlZaH3gFavXj3kMyKA5cuXU15ejt/vJzMzE4fDAcDhw4fZvn07Z8+eZePGjcybN4/169fzzjvv8Ktf/YrY2FhiYmJYtmxZ6LmUiIiYY9gJP3/2s5/xwgsvkJSURHt7O8nJyQPut3Xr1jEJMNo04aeITCZRn/Dzm9/8Zmiutf/8z//k7rvv/sQBiYjI5DSi93Tsdjt2u521a9fyd3/3d2Mdk4iITFDDJp39+/eTnZ0N9D2Af+mllwbc79prrx3dyEREZMIZNum8/PLLoaTz+9//ftD9JmrSGY3+zYnEbreHlrUQ1cdHqT7CqT7608qhwzh58mS0QxhX9D9RONVHONVHuMlaH0MNJIhoaYM1a9YMWL5u3brIIhIRkUkpoqTz17/+tV+ZYRicOnVq1AISEZGJa0Sj1z6Y/qanp6ffVDinT58ecnkCERGRD4wo6cyePXvAzxaLhc9+9rN86UtfGv3Ixonlr2yPdggiIqaqvPL2MTv3iJLON77xDaBvlubMzMwxC0ZERCa2iBZxy8zM5OTJk/zpT3/i/PnzYdsm6pBpEREZPRElnV/+8pfU1NTwmc98JmwlTlDSERGR4UWUdH7zm99QWlrKZz7zmbGKR0REJrCIkk58fDxz5sz5WBdyu91UVVXR2tqKYRgsWrSI/Px86uvraW5uZtmyZaF9N2zYQH5+PlVVVQQCAbxeL36/P7RQW0lJCV6vF6fTid/vx+FwUFRUhMViYceOHbz22mtMmTKF2bNns3LlSi644AJ+//vf89xzz4Wu8Ze//IWHHnqIefPmfaz7ERGRyEWUdG6++Wa2b9/ON77xDWbMmBG2baj1bwzDYNOmTSxdupQ1a9YQDAapqKhg586dQw63Li0tBWDfvn39EtOWLVtYsWIF6enplJWVceTIERwOB5///Oe55ZZbiI2N5Sc/+Ql79uzhW9/6FldffTVXX3010JdwHn74YSUcERGTRZR0ysvLAXjxxRf7bdu1a9egxzU2NhIfH8+SJUuAvgRVUFDAqlWruPnmmyMJAYD29na6u7vJyMgAIDs7m4aGBhwOB5dffnlov4yMDA4dOtTv+Pr6eq666qqIrysiIp9MREnnoy+GjlRLSwtpaWlhZYmJidjt9tAS0pHweDxhy1nbbDY8Hk+//V566aUBk8vBgwcpKSkZ8Ny1tbXU1tYCsHHjxohjExGRwUWUdC688EIAgsEgZ86cGXQV0Uh0dnYOWG6xWD7ReX/5y18SGxsb6lL7wLvvvkt8fDxz584d8Ljc3Fxyc3M/0bVFRGRgEc291tnZyQ9/+ENuvfVW7rnnHgBeffVVfvaznw15XEpKCsePHw8r6+rqwuVykZaW1i/xeL1ekpKSBj2f1WrF7XaHvrvd7tAgA+h7BvTaa69xzz339EteL7/8MosXLx76RkVEZExElHR+/OMfk5iYSHl5OVOm9DWSMjIyOHDgwJDHLVy4EJ/PR11dHdDXUqquriYnJ4cFCxZw9OhROjo6AGhubiYQCIR1n31UcnIy06ZNo6mpCcMw2L9/P1lZWQAcOXKEZ599lrVr1/Z7lygYDHLw4EElHRGRKImoe+0Pf/gDFRUVoYQDMH36dM6cOTPkcRaLheLiYiorK6mpqcEwDBwOB3l5ecTFxVFYWEhZWRnBYJCEhARWr1495Gg4gOXLl1NeXo7f7yczMxOHwwFAVVUVPT09fP/73wf6pu654447AHj77bex2+1h88eJiIh5Iko6iYmJnDt3LuxZjsvlGtGzHbvdPui6O1/4whf4whe+MOixOTk55OTkhJXNnz+fzZs399v3scceG/Q8l156KQ8++OCwsYqIyNiIqHvtuuuuY/PmzTQ2NmIYBk1NTTidTv7xH/9xrOITEZEJJKKWzle+8hXi4+Opqqqit7eXrVu3kpuby/XXXz9W8YmIyAQSUdKxWCxcf/31SjIiIvKxWAzDMIbaobGxcUQnuuyyy0YloPHm5MmT0Q5hXLHb7bhcrmiHMW6oPsKpPsJN1vq46KKLBt02bEtn69atYd89Hg8Wi4WkpCTOnTuHYRjYbLaPPVuBiIhMHsMmHafTGfr8y1/+Eq/Xy80338zUqVPx+Xzs2rVryBc5RUREPhDR6LVf//rX3HLLLaGXLqdOncott9zCCy+8MCbBiYjIxBLRQIKEhASOHTvG5z73uVBZc3Nzvzf/J5I7DuyNdggiIqZ44qolY36NiNfTKS0t5YorrsBms+F2u3n99dfD1rkREREZTERJJzs7m4svvphDhw7R3t7OnDlz+Od//mdSUlLGKj4REZlAIko60Ddj9E033TQWsYiIyAQ3oqQz1KqgH/g4K4CKiMjkMqKk8+G1a0RERD6uESWdlStXjviE9fX1/MM//EO/crfbTVVVFa2trRiGwaJFi8jPz6e+vp7m5uawwQgbNmwgPz+fqqoqAoEAXq8Xv98fWqitpKQEr9eL0+nE7/fjcDgoKioKW7Dt+eefZ8eOHVRWVjJ9+nTeeustfvCDHzBr1iwArrzySnUTioiYLOJnOsP58Y9/3C/pGIbBpk2bWLp0KWvWrCEYDFJRUcHOnTtJTU0d9FylpaVA30qgH01MW7ZsYcWKFaSnp1NWVsaRI0dCa+q4XC7efPNN7HZ72PkuueSSQZdXEBGRsRfRy6EjMdBUbo2NjcTHx7NkSd8Y8JiYGAoKCti7dy8+ny/ia7S3t9Pd3U1GRgYWi4Xs7GwaGhpC259++mluvfXWfktVi4hIdI16S2egP/QtLS2kpaWFlSUmJmK32+nt7Y34Gh6PJ2w5a5vNhsfjAaChoQGr1cq8efP6HdfU1ERJSQnJycnk5+cP2Mqqra2ltrYWgI0bN0Ycm4iIDG7Uk06kOjs7Byz/OK0Un8/Hnj17uO+++/ptS0tLo7y8nISEBF5//XUefvhhfvSjH/XbLzc3l9zc3IivLSIiwxv17rWBpKSkcPz48bCyrq4uXC4XaWlp/RKP1+sdchJRq9UaNqLO7XZjtVo5deoUbW1tlJSUcNddd+F2u1m7di0dHR0kJiaSkJAAwKJFi+jt7eXs2bOjeJciIjKcUU86H314D7Bw4UJ8Ph91dXUABINBqqurycnJYcGCBRw9epSOjg6gby63QCAQ1n32UcnJyUybNo2mpiYMw2D//v1kZWUxd+5cKisrcTqdOJ1ObDYbDz30EDNnzqSjoyP0vOnYsWMEg0HNji0iYrKIuteKiop48skn+5UvX76cyspKADZv3txvu8Viobi4mMrKSmpqajAMA4fDQV5eHnFxcRQWFlJWVkYwGCQhIYHVq1cTEzN0Ply+fDnl5eX4/X4yMzNDI9cGc+jQIX73u98RGxtLfHw89957rwYaiIiYbNiVQz/stttuo7q6Oqysp6eHO+64g+3bt496cOPBDb/4abRDEBExxWjNMv2JVg4FuP/++7FYLAQCAR544IGwbW63m4yMjE8WoYiITAojSjrXXnst0Pcs5IN3baCv22zGjBlcdtllYxOdiIhMKCNKOjk5OQCkp6czZ86csYxHREQmsIie6RiGwYsvvsjLL7/MuXPn2LRpE3/84x/p6OjgqquuGss4o+bkyZPRDmFcsdvtuFyuaIcxbqg+wqk+wk3W+hjqmU5EQ6Z37drF3r17yc3NDVWkzWbj2Wef/WQRiojIpBBR0qmrq2Pt2rUsXrw4NNx41qxZtLW1jUlwIiIysUSUdD54j+bDzp8/369MRERkIBG9HOpwOKiurqagoADoe8aza9currjiijEJbjy46+B70Q5hnFF9hFN9hFN9hPvbqQ/nly425ToRtXRuu+022tvbKSwspKuri9tuu43Tp09z6623jlV8IiIygUTU0klMTKSkpISOjg5cLhd2u52ZM2eOUWgiIjLRDJt0gsFgv7Lp06czffr0sO3DzZUmIiIybNLJy8sb0Yl27dr1iYMREZGJbdik8/jjj5sRh4iITALDJp0LL7ww9Pm5557jxhtv7LfPCy+8wA033DDkedxuN1VVVbS2tmIYBosWLSI/P5/6+nqam5tZtmxZaN8NGzaQn59PVVUVgUAAr9eL3+/HarUCUFJSgtfrxel04vf7cTgcFBUVYbFYOHjwILt37+bEiROUlpYyf/58AH7/+9/z3HPPha7xl7/8hYceemjAZa1FRGRsRDSQoKamZsCkU1NTM2TSMQyDTZs2sXTpUtasWUMwGKSiooKdO3eSmpo66HGlpaUA7Nu3r19i2rJlCytWrCA9PZ2ysjKOHDmCw+EgNTWV4uJinnjiibBzXX311Vx99dVAX8J5+OGHlXBEREw2oqTT2NgI9A0a+ODzB06dOsW0adOGPT4+Pj40Q3VMTAwFBQWsWrWKm2++OeKg29vb6e7uDi2pkJ2dTUNDAw6Hg5SUlGGPr6+vn7BzxYmIjGcjSjpbt24FwO/3hz5D39IGM2fO5Pbbbx/y+JaWFtLS0sLKEhMTsdvt9Pb2RhozHo8nbDlrm82Gx+MZ8fEHDx6kpKRkwG21tbXU1tYCsHHjxohjExGRwY0o6TidTqBvUMGqVatGNYDOzs4By8dqKel3332X+Ph45s6dO+D23NxccnNzx+TaIiKTXUQv13zchJOSksLx48fDyrq6unC5XKSlpfVLPF6vl6SkpEHPZ7Vacbvdoe9utzs0yGA4L7/8MosXL44gehERGS0RDSS48847B9324W63j1q4cCHPPPMMdXV1XHPNNQSDQaqrq8nJyWHBggU8+eSTdHR0MHPmTJqbmwkEAmHdZx+VnJzMtGnTaGpqIj09nf379/NP//RPw8YfDAY5ePAg//Ef/zHsviIiMvoiSjp333132Pf29nZ+85vfDNtysFgsFBcXU1lZSU1NDYZh4HA4yMvLIy4ujsLCQsrKykKzWK9evXrYGQ6WL19OeXk5fr+fzMxMHA4HAIcPH2b79u2cPXuWjRs3Mm/ePNavXw/A22+/jd1uZ/bs2ZHctoiIjJKIVg4dSEdHBw8++CAPP/zwaMU0rnytpj7aIYiIjLnRnGV61FYOHciUKVO0iJuIiIxIRN1rH51fzefz8cYbb4S6tkRERIYSUdL58IgxgKlTp3LDDTeQnZ09qkGNJ2YtbPS3wm6343K5oh3GuKH6CKf6CKf66G/E3Wu9vb1ccsklBAIB2tvb6enpIS0tjWuuuYa4uLixjFFERCaIESWdrq4u7rvvPp555hmmTJlCWloasbGx7Ny5k+9+97t0dXWNdZwiIjIBjKh77ZlnnmH69Ok88MADJCQkhMrPnz/Pli1beOaZZ1i+fPmYBSkiIhPDiFo6DQ0N/Ou//mtYwgFISEhg2bJlHD58eEyCExGRiWVELZ2urq5Bp5mx2Wx0d3ePalDjyZ5XYqMdwjjTDqhO/pfqI5zqI9zfVn187crIJ2CO1IhaOrNnz+63pMEH/vCHPzBr1qxRDUpERCamESWdG264gccff5xDhw4RDAaBvnnMDh06RHl5+bCrhoqIiMAIu9dycnI4d+4c5eXl/PCHP2T69OmcPXuWuLg4brrpptDibCIiIkMZ8cuhX/7yl8nNzeXo0aOcO3eOpKQkMjIySExMHMv4RERkAoloRoJp06aRmZn5sS7kdrupqqqitbUVwzBYtGgR+fn51NfX09zczLJly0L7btiwgfz8fKqqqggEAni9Xvx+f2gwQ0lJCV6vF6fTid/vx+FwUFRUFLbw2/PPP8+OHTuorKxk+vTpALz11ls89dRT9Pb2kpSUxPe+972PdS8iIvLxRJR0Pi7DMNi0aRNLly5lzZo1BINBKioq2LlzJ6mpqYMeV1paCsC+ffv6JaYtW7awYsUK0tPTKSsr48iRI6E54FwuF2+++SZ2uz20f2dnJ5WVlaxfvx673c6ZM2fG6G5FRGQwn3iW6ZFobGwkPj4+9OwnJiaGgoIC9u7di8/ni/h87e3tdHd3k5GRgcViITs7m4aGhtD2p59+mltvvTWs5VNfX8+VV14ZSkQzZsz4hHclIiKRMqWl09LSQlpaWlhZYmIidrud3t7Ix4V7PJ6wlUVtNhsejwfoe5HVarUyb968sGPef/99enp62LBhA93d3Vx//fVcc801/c5dW1tLbW0tABs3bow4NhERGZwpSWconZ2dA5Z/uJUyUj6fjz179nDffff129bb28vx48f57ne/i9/v57777iM9Pb3fYkO5ubnk5uZGfG0RERmeKd1rKSkpHD9+PKysq6sLl8tFWlpav8Tj9XpJSkoa9HxWqzVsmQW3243VauXUqVO0tbVRUlLCXXfdhdvtZu3atXR0dGCz2bj88stJSEhg+vTpXHLJJfz5z38e3RsVEZEhmZJ0Fi5ciM/no66uDuh7sbS6upqcnBwWLFjA0aNH6ejoAKC5uZlAIBDWffZRycnJTJs2jaamJgzDYP/+/WRlZTF37lwqKytxOp04nU5sNhsPPfQQM2fOJCsri3feeYfe3l58Ph/Hjh1jzpw5Zty+iIj8f6Z0r1ksFoqLi6msrKSmpgbDMHA4HOTl5REXF0dhYSFlZWUEg0ESEhJYvXo1MTFD58Ply5dTXl6O3+8nMzNz2NVLU1JSyMzMpLi4mJiYGK699lrmzp07mrcpIiLDsBiGYUQ7iPHMuedUtEMQETHFaE34+dFn5R9mSveaiIgIKOmIiIiJlHRERMQ0UX9PZ7wzY1GjvyV2ux2XyxXtMMYN1Uc41Uc41Ud/aumIiIhplHRERMQ0SjoiImIavaczjDcq26IdgoiIKWZf3zMq59F7OiIiMi4o6YiIiGmUdERExDRKOiIiYholHRERMY1pMxK43W6qqqpobW3FMAwWLVpEfn4+9fX1NDc3s2zZstC+GzZsID8/n6qqKgKBAF6vF7/fj9VqBaCkpASv14vT6cTv9+NwOCgqKsJisfCzn/2MV199FYvFwowZM1i5ciVWq5W33nqLH/zgB8yaNQuAK6+8kptuusms2xcREUxKOoZhsGnTJpYuXcqaNWsIBoNUVFSwc+dOUlNTBz2utLQUgH379vVLTFu2bGHFihWkp6dTVlbGkSNHcDgc3HjjjXzzm98E4De/+Q2/+MUvuOOOOwC45JJLWLdu3RjeqYiIDMWU7rXGxkbi4+NZsmRJ30VjYigoKGDv3r34fL6Iz9fe3k53dzcZGRlYLBays7NpaGgAIDExMbSfz+fDYrGMzk2IiMgnZkpLp6WlhbS0tLCyxMRE7HY7vb2RT6jp8XjClrO22Wx4PJ7Q9507d7J//34SExN54IEHQuVNTU2UlJSQnJxMfn7+gK2s2tpaamtrAdi4cWPEsYmIyOCiPst0Z2fngOWfpIWSl5dHXl4ee/bs4be//S3/8i//QlpaGuXl5SQkJPD666/z8MMP86Mf/ajfsbm5ueTm5n7sa4uIyOBM6V5LSUnh+PHjYWVdXV24XC7S0tL6JR6v10tSUtKg57Narbjd7tB3t9sdGmTwYVdffTWvvPIK0NeySkhIAGDRokX09vZy9uzZj31PIiISOVOSzsKFC/H5fNTV1QEQDAaprq4mJyeHBQsWcPToUTo6OgBobm4mEAiEdZ99VHJyMtOmTaOpqQnDMNi/fz9ZWVkAvP/++6H9GhoaQnMAdXR08ME0c8eOHSMYDA6Z2EREZPSZ0r1msVgoLi6msrKSmpoaDMPA4XCQl5dHXFwchYWFlJWVEQwGSUhIYPXq1cTEDJ0Ply9fTnl5OX6/n8zMTBwOBwA//elPef/997FYLNjt9tDItUOHDvG73/2O2NhY4uPjuffeezXIQETEZJplehiaZVpEJgvNMi0iIhOKko6IiJhGSUdEREwT9fd0xrvR6uOcKOx2Oy6XK9phjBuqj3Cqj3Cqj/7U0hEREdMo6YiIiGmUdERExDR6pjOM2J+/P/xOk0g77xMb7SDGkb+l+uj9l/8T7RBE1NIRERHzKOmIiIhplHRERMQ0SjoiImIaJR0RETGNaaPX3G43VVVVtLa2YhgGixYtIj8/n/r6epqbm1m2bFlo3w0bNpCfn09VVRWBQACv14vf7w8t1FZSUoLX68XpdOL3+3E4HBQVFWGxWDh48CC7d+/mxIkTlJaWMn/+fAB6enp44oknaG5uJiYmhsLCQi699FKzbl9ERDAp6RiGwaZNm1i6dClr1qwhGAxSUVHBzp07SU1NHfS40tJSAPbt29cvMW3ZsoUVK1aQnp5OWVkZR44cweFwkJqaSnFxMU888UTYuWprawHYvHkzZ86cobS0lLKysmHX7RERkdFjyl/cxsZG4uPjWbJkSd9FY2IoKChg7969+Hy+iM/X3t5Od3c3GRkZWCwWsrOzaWhoAPqWxh5oLYfW1lYuu+wyAGbMmMEFF1zAe++99wnuSkREImVK0mlpaSEtLS2sLDExEbvdTm9vb8Tn83g8YctZ22w2PB7PkMfMmzePV199ld7eXtra2njvvfcGnIivtraWdevWsW7duojjEhGRoUV9RoLOzs4By0d7KeklS5bQ2trKunXruPDCC/nsZz87YNdabm4uubm5o3ptERHpY0rSSUlJ4ZVXXgkr6+rqwuVykZaWxoEDB8K2eb1ekpKSBj2f1WrF7XaHvrvd7tAgg8HExsZSWFgY+n7fffcNuaSqiIiMPlO61xYuXIjP56Ourg6AYDBIdXU1OTk5LFiwgKNHj9LR0QFAc3MzgUAgrPvso5KTk5k2bRpNTU0YhsH+/fvJysoaMgafz8f58+cBePPNN4mNjSUlJWV0blBEREbElJaOxWKhuLiYyspKampqMAwDh8NBXl4ecXFxFBYWUlZWRjAYJCEhgdWrVw87qmz58uWUl5fj9/vJzMzE4XAAcPjwYbZv387Zs2fZuHEj8+bNY/369Zw5c4YHH3yQmJgYrFYrq1atMuPWRUTkQyyGYRjRDmI8O/Xoa9EOQWRUmDHLtFbKDDdZ62OoRxd6SUVEREyjpCMiIqZR0hEREdNE/T2d8U6rLYabrH3Ug1F9iERGLR0RETGNRq+JiIhp1NIZguZf6091Ek71EU71EU710Z+SjoiImEZJR0RETKOkMwTNNt2f6iSc6iOc6iOc6qM/DSQQERHTqKUjIiKmUdIRERHTaEaCQRw5coQnn3ySYDDIddddx1e/+tVohzTmXC4XTqeTjo4OLBYLubm5XH/99Xi9XrZs2cLp06e58MIL+bd/+zc+9alPYRgGTz75JG+88QZTp05l5cqVXHzxxdG+jVEXDAZZt24dVquVdevW0dbWxqOPPsq5c+e4+OKLufvuu5kyZQqBQIDHH3+c9957j6SkJO69915mzZoV7fBHVWdnJ9u2baOlpQWLxcKdd97JRRddNGl/Hy+88AIvvfQSFouF1NRUVq5cSUdHx6T9fYyIIf309vYaq1atMv76178agUDAKC4uNlpaWqId1pjzeDxGc3OzYRiG0dXVZdxzzz1GS0uLsWPHDmPPnj2GYRjGnj17jB07dhiGYRivvfaa8eCDDxrBYNA4evSo8e///u/RCn1MPf/888ajjz5qlJWVGYZhGJs3bzbq6+sNwzCMiooK47/+678MwzCM3/72t0ZFRYVhGIZRX19vPPLII9EJeAw99thjRm1trWEYhhEIBAyv1ztpfx9ut9tYuXKl4fP5DMPo+13s3bt3Uv8+RkLdawM4duwYn/70p5k9ezZTpkzhqquuoqGhIdphjbnk5OTQv0SnTZvGnDlz8Hg8NDQ0cM011wBwzTXXhOri1VdfJTs7G4vFQkZGBp2dnbS3t0ct/rHgdrt5/fXXue666wAwDIO33nqLL37xiwDk5OSE1UdOTg4AX/ziF2lsbMSYQON0urq6ePvtt7n22msBmDJlChdccMGk/n0Eg0H8fj+9vb34/X5mzpw5aX8fI6XutQF4PJ6w5bJtNhvvvvtuFCMyX1tbG8ePH2fBggWcOXOG5ORkAGbOnMmZM2eAvnqy2+2hY2w2Gx6PJ7TvRPDUU0/xrW99i+7ubgDOnTtHYmIisbGxAFitVjweDxD+u4mNjSUxMZFz584xffr06AQ/ytra2pg+fTrl5eX8+c9/5uKLL6awsHDS/j6sVitf/vKXufPOO4mPj+fyyy/n4osvnrS/j5FSS0f6OX/+PJs3b6awsJDExMSwbRaLBYvFEqXIzPXaa68xY8aMCfcc4uPq7e3l+PHjLF26lB/84AdMnTqVX/3qV2H7TKbfh9frpaGhAafTSUVFBefPn+fIkSPRDmvcU0tnAFarFbfbHfrudruxWq1RjMg8PT09bN68mauvvporr7wSgBkzZtDe3k5ycjLt7e2hf5lZrdawaf0nWj0dPXqUV199lTfeeAO/3093dzdPPfUUXV1d9Pb2Ehsbi8fjCd3zB78bm81Gb28vXV1dJCUlRfkuRo/NZsNms5Geng70dRH96le/mrS/jz/84Q/MmjUrdL9XXnklR48enbS/j5FSS2cA8+fP5/3336etrY2enh4OHDhAVlZWtMMac4ZhsG3bNubMmcMNN9wQKs/KyqKurg6Auro6vvCFL4TK9+/fj2EYNDU1kZiYOGG6TgBuueUWtm3bhtPp5N577+Wyyy7jnnvu4dJLL+XQoUMA7Nu3L/TbuOKKK9i3bx8Ahw4d4tJLL51Q/+qfOXMmNpuNkydPAn1/dFNSUibt78Nut/Puu+/i8/kwDCNUH5P19zFSmpFgEK+//jpPP/00wWCQJUuW8PWvfz3aIY25d955h/vvv5+5c+eG/mfIy8sjPT2dLVu24HK5+g2Jraqq4n/+53+Ij49n5cqVzJ8/P8p3MTbeeustnn/+edatW8epU6d49NFH8Xq9pKWlcffddxMXF4ff7+fxxx/n+PHjfOpTn+Lee+9l9uzZ0Q59VP3pT39i27Zt9PT0MGvWLFauXIlhGJP29/Hzn/+cAwcOEBsby7x58/j2t7+Nx+OZtL+PkVDSERER06h7TURETKOkIyIiplHSERER0yjpiIiIaZR0RETENEo6IiJiGiUdkUnirrvu4s0334x2GDLJKemIiIhp9HKoSJS4XC6eeuop3n77bQzDYPHixRQVFbFnzx5efPFF/H4/mZmZ3H777SQmJvLWW2/x2GOPsW3bttA57rrrLlasWMHnP/95fv7zn9Pa2kp8fDyHDx/Gbrdz1113MX/+fB577DHq6+uZMmUKMTEx3HTTTXzlK1+J4t3LZKWWjkgUBINBHnroIex2O06nk23btrF48WL27dvHvn37eOCBB3j88cc5f/48VVVVIz7va6+9xlVXXcVTTz1FVlYW27dvB+Duu+/Gbrezdu1aduzYoYQjUaOkIxIFx44dw+PxkJ+fT0JCAvHx8Xzuc5+jvr6eG264gdmzZ5OQkMAtt9zCgQMH6O3tHdF5P/e5z7Fo0SJiYmLIzs7mT3/609jeiEiElHREouCDyTE/WOzrA+3t7Vx44YWh73a7nd7e3tDCaMOZMWNG6HN8fDyBQGDECUvEDEo6IlFgt9txuVz9EkJycjKnT58OfXe5XMTGxjJjxgymTp2Kz+cLbQsGg5w9e9a0mEVGg5KOSBQsWLCA5ORkfvrTn3L+/Hn8fj/vvPMOixcv5te//jVtbW2cP3+enTt38qUvfYnY2FguuugiAoEAr7/+Oj09PdTU1BAIBEZ8zZkzZ9LW1jaGdyUyPK0cKhIFMTExrF27lu3bt7Ny5UosFguLFy+msLCQ9vZ2HnjgAfx+P5dffjm33347AImJiSxfvpxt27YRDAa58cYbsdlsI77mV7/6VbZv385PfvITvv71r3PjjTeO1e2JDEpDpkVExDTqXhMREdMo6YiIiGmUdERExDRKOiIiYholHRERMY2SjoiImEZJR0RETKOkIyIipvl/iqonUPVeF1MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(y='Outlet_Identifier', data = categorical_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0b79a73a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OUT027    935\n",
       "OUT013    932\n",
       "OUT049    930\n",
       "OUT046    930\n",
       "OUT035    930\n",
       "OUT045    929\n",
       "OUT018    928\n",
       "OUT017    926\n",
       "OUT010    555\n",
       "OUT019    528\n",
       "Name: Outlet_Identifier, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorical_data['Outlet_Identifier'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1e2c138d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Item_Type'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.countplot(y='Item_Type', data= categorical_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5c33d0fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Outlet_Location_Type'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,2, figsize=(12,5))\n",
    "sns.countplot(y='Outlet_Type', data = categorical_data, ax= axes[0])\n",
    "sns.countplot(y='Outlet_Location_Type', data = categorical_data, ax= axes[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5a9069ce",
   "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>Item_Weight</th>\n",
       "      <th>Item_Visibility</th>\n",
       "      <th>Item_MRP</th>\n",
       "      <th>Outlet_Establishment_Year</th>\n",
       "      <th>Item_Outlet_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7060.000000</td>\n",
       "      <td>8523.000000</td>\n",
       "      <td>8523.000000</td>\n",
       "      <td>8523.000000</td>\n",
       "      <td>8523.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>12.857645</td>\n",
       "      <td>0.066132</td>\n",
       "      <td>140.992782</td>\n",
       "      <td>1997.831867</td>\n",
       "      <td>2181.288914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.643456</td>\n",
       "      <td>0.051598</td>\n",
       "      <td>62.275067</td>\n",
       "      <td>8.371760</td>\n",
       "      <td>1706.499616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.555000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>31.290000</td>\n",
       "      <td>1985.000000</td>\n",
       "      <td>33.290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.773750</td>\n",
       "      <td>0.026989</td>\n",
       "      <td>93.826500</td>\n",
       "      <td>1987.000000</td>\n",
       "      <td>834.247400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>12.600000</td>\n",
       "      <td>0.053931</td>\n",
       "      <td>143.012800</td>\n",
       "      <td>1999.000000</td>\n",
       "      <td>1794.331000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>16.850000</td>\n",
       "      <td>0.094585</td>\n",
       "      <td>185.643700</td>\n",
       "      <td>2004.000000</td>\n",
       "      <td>3101.296400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>21.350000</td>\n",
       "      <td>0.328391</td>\n",
       "      <td>266.888400</td>\n",
       "      <td>2009.000000</td>\n",
       "      <td>13086.964800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Item_Weight  Item_Visibility     Item_MRP  Outlet_Establishment_Year  \\\n",
       "count  7060.000000      8523.000000  8523.000000                8523.000000   \n",
       "mean     12.857645         0.066132   140.992782                1997.831867   \n",
       "std       4.643456         0.051598    62.275067                   8.371760   \n",
       "min       4.555000         0.000000    31.290000                1985.000000   \n",
       "25%       8.773750         0.026989    93.826500                1987.000000   \n",
       "50%      12.600000         0.053931   143.012800                1999.000000   \n",
       "75%      16.850000         0.094585   185.643700                2004.000000   \n",
       "max      21.350000         0.328391   266.888400                2009.000000   \n",
       "\n",
       "       Item_Outlet_Sales  \n",
       "count        8523.000000  \n",
       "mean         2181.288914  \n",
       "std          1706.499616  \n",
       "min            33.290000  \n",
       "25%           834.247400  \n",
       "50%          1794.331000  \n",
       "75%          3101.296400  \n",
       "max         13086.964800  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numerical_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "86f0b91b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numerical_data['Item_Weight'].hist(bins=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0c0be568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numerical_data['Item_Visibility'].hist(bins=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fb1a8b41",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numerical_data['Item_MRP'].hist(bins=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bcf0641d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Outlet_Establishment_Year', ylabel='count'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Outlet_Establishment_Year', data=numerical_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f63f30bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Item_Outlet_Sales', ylabel='Item_Type'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(y='Item_Type', x='Item_Outlet_Sales', data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "540e145a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Outlet_Size', ylabel='Item_Outlet_Sales'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,7))\n",
    "sns.barplot(x='Outlet_Size', y='Item_Outlet_Sales', data= df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7473e2b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x201d9570d60>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.barplot('Outlet_Location_Type','Item_Outlet_Sales', hue='Outlet_Type', data=df)\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "cd0a3d08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,7))\n",
    "sns.heatmap(df.corr(), annot=True)\n",
    "plt.title('Correlation between the columns')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f8c4569",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}