Bigmart_Sales_Prediction_AV_Hackathon.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('train_v9rqX0R.csv')\n",
    "test_file = pd.read_csv('test_AbJTz2l.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 12)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
       "      <td>count</td>\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",
       "      <td>mean</td>\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",
       "      <td>std</td>\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",
       "      <td>min</td>\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",
       "      <td>25%</td>\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",
       "      <td>50%</td>\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",
       "      <td>75%</td>\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",
       "      <td>max</td>\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": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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",
      "Item_Identifier              8523 non-null object\n",
      "Item_Weight                  7060 non-null float64\n",
      "Item_Fat_Content             8523 non-null object\n",
      "Item_Visibility              8523 non-null float64\n",
      "Item_Type                    8523 non-null object\n",
      "Item_MRP                     8523 non-null float64\n",
      "Outlet_Identifier            8523 non-null object\n",
      "Outlet_Establishment_Year    8523 non-null int64\n",
      "Outlet_Size                  6113 non-null object\n",
      "Outlet_Location_Type         8523 non-null object\n",
      "Outlet_Type                  8523 non-null object\n",
      "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": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\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": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 12)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Item_Identifier               object\n",
       "Item_Weight                  float64\n",
       "Item_Fat_Content              object\n",
       "Item_Visibility              float64\n",
       "Item_Type                     object\n",
       "Item_MRP                     float64\n",
       "Outlet_Identifier             object\n",
       "Outlet_Establishment_Year      int64\n",
       "Outlet_Size                   object\n",
       "Outlet_Location_Type          object\n",
       "Outlet_Type                   object\n",
       "Item_Outlet_Sales            float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\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": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping unneccesary columns\n",
    "cat_cols = df.select_dtypes(['object']).columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Item_Identifier', 'Item_Fat_Content', 'Item_Type', 'Outlet_Identifier',\n",
       "       'Outlet_Size', 'Outlet_Location_Type', 'Outlet_Type'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in cat_cols:\n",
    "    df[i].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\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": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\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",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8518</td>\n",
       "      <td>FDF22</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Snack Foods</td>\n",
       "      <td>OUT013</td>\n",
       "      <td>High</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8519</td>\n",
       "      <td>FDS36</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Baking Goods</td>\n",
       "      <td>OUT045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tier 2</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8520</td>\n",
       "      <td>NCJ29</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Health and Hygiene</td>\n",
       "      <td>OUT035</td>\n",
       "      <td>Small</td>\n",
       "      <td>Tier 2</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8521</td>\n",
       "      <td>FDN46</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Snack Foods</td>\n",
       "      <td>OUT018</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8522</td>\n",
       "      <td>DRG01</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Soft Drinks</td>\n",
       "      <td>OUT046</td>\n",
       "      <td>Small</td>\n",
       "      <td>Tier 1</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8523 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Item_Identifier Item_Fat_Content              Item_Type  \\\n",
       "0              FDA15          Low Fat                  Dairy   \n",
       "1              DRC01          Regular            Soft Drinks   \n",
       "2              FDN15          Low Fat                   Meat   \n",
       "3              FDX07          Regular  Fruits and Vegetables   \n",
       "4              NCD19          Low Fat              Household   \n",
       "...              ...              ...                    ...   \n",
       "8518           FDF22          Low Fat            Snack Foods   \n",
       "8519           FDS36          Regular           Baking Goods   \n",
       "8520           NCJ29          Low Fat     Health and Hygiene   \n",
       "8521           FDN46          Regular            Snack Foods   \n",
       "8522           DRG01          Low Fat            Soft Drinks   \n",
       "\n",
       "     Outlet_Identifier Outlet_Size Outlet_Location_Type        Outlet_Type  \n",
       "0               OUT049      Medium               Tier 1  Supermarket Type1  \n",
       "1               OUT018      Medium               Tier 3  Supermarket Type2  \n",
       "2               OUT049      Medium               Tier 1  Supermarket Type1  \n",
       "3               OUT010         NaN               Tier 3      Grocery Store  \n",
       "4               OUT013        High               Tier 3  Supermarket Type1  \n",
       "...                ...         ...                  ...                ...  \n",
       "8518            OUT013        High               Tier 3  Supermarket Type1  \n",
       "8519            OUT045         NaN               Tier 2  Supermarket Type1  \n",
       "8520            OUT035       Small               Tier 2  Supermarket Type1  \n",
       "8521            OUT018      Medium               Tier 3  Supermarket Type2  \n",
       "8522            OUT046       Small               Tier 1  Supermarket Type1  \n",
       "\n",
       "[8523 rows x 7 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[cat_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>Item_Outlet_Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>9.300</td>\n",
       "      <td>0.016047</td>\n",
       "      <td>249.8092</td>\n",
       "      <td>3735.1380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>5.920</td>\n",
       "      <td>0.019278</td>\n",
       "      <td>48.2692</td>\n",
       "      <td>443.4228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>17.500</td>\n",
       "      <td>0.016760</td>\n",
       "      <td>141.6180</td>\n",
       "      <td>2097.2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>19.200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>182.0950</td>\n",
       "      <td>732.3800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>8.930</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>53.8614</td>\n",
       "      <td>994.7052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8518</td>\n",
       "      <td>6.865</td>\n",
       "      <td>0.056783</td>\n",
       "      <td>214.5218</td>\n",
       "      <td>2778.3834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8519</td>\n",
       "      <td>8.380</td>\n",
       "      <td>0.046982</td>\n",
       "      <td>108.1570</td>\n",
       "      <td>549.2850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8520</td>\n",
       "      <td>10.600</td>\n",
       "      <td>0.035186</td>\n",
       "      <td>85.1224</td>\n",
       "      <td>1193.1136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8521</td>\n",
       "      <td>7.210</td>\n",
       "      <td>0.145221</td>\n",
       "      <td>103.1332</td>\n",
       "      <td>1845.5976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8522</td>\n",
       "      <td>14.800</td>\n",
       "      <td>0.044878</td>\n",
       "      <td>75.4670</td>\n",
       "      <td>765.6700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8523 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Item_Weight  Item_Visibility  Item_MRP  Item_Outlet_Sales\n",
       "0           9.300         0.016047  249.8092          3735.1380\n",
       "1           5.920         0.019278   48.2692           443.4228\n",
       "2          17.500         0.016760  141.6180          2097.2700\n",
       "3          19.200         0.000000  182.0950           732.3800\n",
       "4           8.930         0.000000   53.8614           994.7052\n",
       "...           ...              ...       ...                ...\n",
       "8518        6.865         0.056783  214.5218          2778.3834\n",
       "8519        8.380         0.046982  108.1570           549.2850\n",
       "8520       10.600         0.035186   85.1224          1193.1136\n",
       "8521        7.210         0.145221  103.1332          1845.5976\n",
       "8522       14.800         0.044878   75.4670           765.6700\n",
       "\n",
       "[8523 rows x 4 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.select_dtypes((int,float))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
       "      <td>Item_Weight</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.014048</td>\n",
       "      <td>0.027141</td>\n",
       "      <td>-0.011588</td>\n",
       "      <td>0.014123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Visibility</td>\n",
       "      <td>-0.014048</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.001315</td>\n",
       "      <td>-0.074834</td>\n",
       "      <td>-0.128625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_MRP</td>\n",
       "      <td>0.027141</td>\n",
       "      <td>-0.001315</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005020</td>\n",
       "      <td>0.567574</td>\n",
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       "    <tr>\n",
       "      <td>Outlet_Establishment_Year</td>\n",
       "      <td>-0.011588</td>\n",
       "      <td>-0.074834</td>\n",
       "      <td>0.005020</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.049135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Outlet_Sales</td>\n",
       "      <td>0.014123</td>\n",
       "      <td>-0.128625</td>\n",
       "      <td>0.567574</td>\n",
       "      <td>-0.049135</td>\n",
       "      <td>1.000000</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Item_Weight  Item_Visibility  Item_MRP  \\\n",
       "Item_Weight                   1.000000        -0.014048  0.027141   \n",
       "Item_Visibility              -0.014048         1.000000 -0.001315   \n",
       "Item_MRP                      0.027141        -0.001315  1.000000   \n",
       "Outlet_Establishment_Year    -0.011588        -0.074834  0.005020   \n",
       "Item_Outlet_Sales             0.014123        -0.128625  0.567574   \n",
       "\n",
       "                           Outlet_Establishment_Year  Item_Outlet_Sales  \n",
       "Item_Weight                                -0.011588           0.014123  \n",
       "Item_Visibility                            -0.074834          -0.128625  \n",
       "Item_MRP                                    0.005020           0.567574  \n",
       "Outlet_Establishment_Year                   1.000000          -0.049135  \n",
       "Item_Outlet_Sales                          -0.049135           1.000000  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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",
      "Item_Identifier              8523 non-null object\n",
      "Item_Weight                  7060 non-null float64\n",
      "Item_Fat_Content             8523 non-null object\n",
      "Item_Visibility              8523 non-null float64\n",
      "Item_Type                    8523 non-null object\n",
      "Item_MRP                     8523 non-null float64\n",
      "Outlet_Identifier            8523 non-null object\n",
      "Outlet_Establishment_Year    8523 non-null int64\n",
      "Outlet_Size                  6113 non-null object\n",
      "Outlet_Location_Type         8523 non-null object\n",
      "Outlet_Type                  8523 non-null object\n",
      "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": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int64')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Outlet_Establishment_Year'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "non_obj = [x for x in df.columns if x not in cat_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Item_Weight',\n",
       " 'Item_Visibility',\n",
       " 'Item_MRP',\n",
       " 'Outlet_Establishment_Year',\n",
       " 'Item_Outlet_Sales']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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",
       "      <td>0</td>\n",
       "      <td>9.300</td>\n",
       "      <td>0.016047</td>\n",
       "      <td>249.8092</td>\n",
       "      <td>1999</td>\n",
       "      <td>3735.1380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>5.920</td>\n",
       "      <td>0.019278</td>\n",
       "      <td>48.2692</td>\n",
       "      <td>2009</td>\n",
       "      <td>443.4228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>17.500</td>\n",
       "      <td>0.016760</td>\n",
       "      <td>141.6180</td>\n",
       "      <td>1999</td>\n",
       "      <td>2097.2700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>19.200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>182.0950</td>\n",
       "      <td>1998</td>\n",
       "      <td>732.3800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>8.930</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>53.8614</td>\n",
       "      <td>1987</td>\n",
       "      <td>994.7052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8518</td>\n",
       "      <td>6.865</td>\n",
       "      <td>0.056783</td>\n",
       "      <td>214.5218</td>\n",
       "      <td>1987</td>\n",
       "      <td>2778.3834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8519</td>\n",
       "      <td>8.380</td>\n",
       "      <td>0.046982</td>\n",
       "      <td>108.1570</td>\n",
       "      <td>2002</td>\n",
       "      <td>549.2850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8520</td>\n",
       "      <td>10.600</td>\n",
       "      <td>0.035186</td>\n",
       "      <td>85.1224</td>\n",
       "      <td>2004</td>\n",
       "      <td>1193.1136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8521</td>\n",
       "      <td>7.210</td>\n",
       "      <td>0.145221</td>\n",
       "      <td>103.1332</td>\n",
       "      <td>2009</td>\n",
       "      <td>1845.5976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8522</td>\n",
       "      <td>14.800</td>\n",
       "      <td>0.044878</td>\n",
       "      <td>75.4670</td>\n",
       "      <td>1997</td>\n",
       "      <td>765.6700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8523 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Item_Weight  Item_Visibility  Item_MRP  Outlet_Establishment_Year  \\\n",
       "0           9.300         0.016047  249.8092                       1999   \n",
       "1           5.920         0.019278   48.2692                       2009   \n",
       "2          17.500         0.016760  141.6180                       1999   \n",
       "3          19.200         0.000000  182.0950                       1998   \n",
       "4           8.930         0.000000   53.8614                       1987   \n",
       "...           ...              ...       ...                        ...   \n",
       "8518        6.865         0.056783  214.5218                       1987   \n",
       "8519        8.380         0.046982  108.1570                       2002   \n",
       "8520       10.600         0.035186   85.1224                       2004   \n",
       "8521        7.210         0.145221  103.1332                       2009   \n",
       "8522       14.800         0.044878   75.4670                       1997   \n",
       "\n",
       "      Item_Outlet_Sales  \n",
       "0             3735.1380  \n",
       "1              443.4228  \n",
       "2             2097.2700  \n",
       "3              732.3800  \n",
       "4              994.7052  \n",
       "...                 ...  \n",
       "8518          2778.3834  \n",
       "8519           549.2850  \n",
       "8520          1193.1136  \n",
       "8521          1845.5976  \n",
       "8522           765.6700  \n",
       "\n",
       "[8523 rows x 5 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[non_obj]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\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",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8518</td>\n",
       "      <td>FDF22</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Snack Foods</td>\n",
       "      <td>OUT013</td>\n",
       "      <td>High</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8519</td>\n",
       "      <td>FDS36</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Baking Goods</td>\n",
       "      <td>OUT045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tier 2</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8520</td>\n",
       "      <td>NCJ29</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Health and Hygiene</td>\n",
       "      <td>OUT035</td>\n",
       "      <td>Small</td>\n",
       "      <td>Tier 2</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8521</td>\n",
       "      <td>FDN46</td>\n",
       "      <td>Regular</td>\n",
       "      <td>Snack Foods</td>\n",
       "      <td>OUT018</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8522</td>\n",
       "      <td>DRG01</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>Soft Drinks</td>\n",
       "      <td>OUT046</td>\n",
       "      <td>Small</td>\n",
       "      <td>Tier 1</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8523 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Item_Identifier Item_Fat_Content              Item_Type  \\\n",
       "0              FDA15          Low Fat                  Dairy   \n",
       "1              DRC01          Regular            Soft Drinks   \n",
       "2              FDN15          Low Fat                   Meat   \n",
       "3              FDX07          Regular  Fruits and Vegetables   \n",
       "4              NCD19          Low Fat              Household   \n",
       "...              ...              ...                    ...   \n",
       "8518           FDF22          Low Fat            Snack Foods   \n",
       "8519           FDS36          Regular           Baking Goods   \n",
       "8520           NCJ29          Low Fat     Health and Hygiene   \n",
       "8521           FDN46          Regular            Snack Foods   \n",
       "8522           DRG01          Low Fat            Soft Drinks   \n",
       "\n",
       "     Outlet_Identifier Outlet_Size Outlet_Location_Type        Outlet_Type  \n",
       "0               OUT049      Medium               Tier 1  Supermarket Type1  \n",
       "1               OUT018      Medium               Tier 3  Supermarket Type2  \n",
       "2               OUT049      Medium               Tier 1  Supermarket Type1  \n",
       "3               OUT010         NaN               Tier 3      Grocery Store  \n",
       "4               OUT013        High               Tier 3  Supermarket Type1  \n",
       "...                ...         ...                  ...                ...  \n",
       "8518            OUT013        High               Tier 3  Supermarket Type1  \n",
       "8519            OUT045         NaN               Tier 2  Supermarket Type1  \n",
       "8520            OUT035       Small               Tier 2  Supermarket Type1  \n",
       "8521            OUT018      Medium               Tier 3  Supermarket Type2  \n",
       "8522            OUT046       Small               Tier 1  Supermarket Type1  \n",
       "\n",
       "[8523 rows x 7 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[cat_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Item_Identifier\n",
      "Item_Fat_Content\n",
      "Item_Type\n",
      "Outlet_Identifier\n",
      "Outlet_Size\n",
      "Outlet_Location_Type\n",
      "Outlet_Type\n"
     ]
    }
   ],
   "source": [
    "for col in cat_cols:\n",
    "    freqs = df[col].value_counts()\n",
    "    k = freqs.index[freqs>20][:-1]\n",
    "    for cat in k:\n",
    "        name = col+'_'+cat\n",
    "        df[name]=(df[col]==cat).astype(int)\n",
    "    del df[col]\n",
    "    print(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 40)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Item_Weight                        1463\n",
       "Item_Visibility                       0\n",
       "Item_MRP                              0\n",
       "Outlet_Establishment_Year             0\n",
       "Item_Outlet_Sales                     0\n",
       "Item_Fat_Content_Low Fat              0\n",
       "Item_Fat_Content_Regular              0\n",
       "Item_Fat_Content_LF                   0\n",
       "Item_Fat_Content_reg                  0\n",
       "Item_Type_Fruits and Vegetables       0\n",
       "Item_Type_Snack Foods                 0\n",
       "Item_Type_Household                   0\n",
       "Item_Type_Frozen Foods                0\n",
       "Item_Type_Dairy                       0\n",
       "Item_Type_Canned                      0\n",
       "Item_Type_Baking Goods                0\n",
       "Item_Type_Health and Hygiene          0\n",
       "Item_Type_Soft Drinks                 0\n",
       "Item_Type_Meat                        0\n",
       "Item_Type_Breads                      0\n",
       "Item_Type_Hard Drinks                 0\n",
       "Item_Type_Others                      0\n",
       "Item_Type_Starchy Foods               0\n",
       "Item_Type_Breakfast                   0\n",
       "Outlet_Identifier_OUT027              0\n",
       "Outlet_Identifier_OUT013              0\n",
       "Outlet_Identifier_OUT046              0\n",
       "Outlet_Identifier_OUT049              0\n",
       "Outlet_Identifier_OUT035              0\n",
       "Outlet_Identifier_OUT045              0\n",
       "Outlet_Identifier_OUT018              0\n",
       "Outlet_Identifier_OUT017              0\n",
       "Outlet_Identifier_OUT010              0\n",
       "Outlet_Size_Medium                    0\n",
       "Outlet_Size_Small                     0\n",
       "Outlet_Location_Type_Tier 3           0\n",
       "Outlet_Location_Type_Tier 2           0\n",
       "Outlet_Type_Supermarket Type1         0\n",
       "Outlet_Type_Grocery Store             0\n",
       "Outlet_Type_Supermarket Type3         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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",
       "      <th>Item_Fat_Content_Low Fat</th>\n",
       "      <th>Item_Fat_Content_Regular</th>\n",
       "      <th>Item_Fat_Content_LF</th>\n",
       "      <th>Item_Fat_Content_reg</th>\n",
       "      <th>Item_Type_Fruits and Vegetables</th>\n",
       "      <th>...</th>\n",
       "      <th>Outlet_Identifier_OUT018</th>\n",
       "      <th>Outlet_Identifier_OUT017</th>\n",
       "      <th>Outlet_Identifier_OUT010</th>\n",
       "      <th>Outlet_Size_Medium</th>\n",
       "      <th>Outlet_Size_Small</th>\n",
       "      <th>Outlet_Location_Type_Tier 3</th>\n",
       "      <th>Outlet_Location_Type_Tier 2</th>\n",
       "      <th>Outlet_Type_Supermarket Type1</th>\n",
       "      <th>Outlet_Type_Grocery Store</th>\n",
       "      <th>Outlet_Type_Supermarket Type3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>9.30</td>\n",
       "      <td>0.016047</td>\n",
       "      <td>249.8092</td>\n",
       "      <td>1999</td>\n",
       "      <td>3735.1380</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>5.92</td>\n",
       "      <td>0.019278</td>\n",
       "      <td>48.2692</td>\n",
       "      <td>2009</td>\n",
       "      <td>443.4228</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>17.50</td>\n",
       "      <td>0.016760</td>\n",
       "      <td>141.6180</td>\n",
       "      <td>1999</td>\n",
       "      <td>2097.2700</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>19.20</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>182.0950</td>\n",
       "      <td>1998</td>\n",
       "      <td>732.3800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>8.93</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>53.8614</td>\n",
       "      <td>1987</td>\n",
       "      <td>994.7052</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Item_Weight  Item_Visibility  Item_MRP  Outlet_Establishment_Year  \\\n",
       "0         9.30         0.016047  249.8092                       1999   \n",
       "1         5.92         0.019278   48.2692                       2009   \n",
       "2        17.50         0.016760  141.6180                       1999   \n",
       "3        19.20         0.000000  182.0950                       1998   \n",
       "4         8.93         0.000000   53.8614                       1987   \n",
       "\n",
       "   Item_Outlet_Sales  Item_Fat_Content_Low Fat  Item_Fat_Content_Regular  \\\n",
       "0          3735.1380                         1                         0   \n",
       "1           443.4228                         0                         1   \n",
       "2          2097.2700                         1                         0   \n",
       "3           732.3800                         0                         1   \n",
       "4           994.7052                         1                         0   \n",
       "\n",
       "   Item_Fat_Content_LF  Item_Fat_Content_reg  Item_Type_Fruits and Vegetables  \\\n",
       "0                    0                     0                                0   \n",
       "1                    0                     0                                0   \n",
       "2                    0                     0                                0   \n",
       "3                    0                     0                                1   \n",
       "4                    0                     0                                0   \n",
       "\n",
       "   ...  Outlet_Identifier_OUT018  Outlet_Identifier_OUT017  \\\n",
       "0  ...                         0                         0   \n",
       "1  ...                         1                         0   \n",
       "2  ...                         0                         0   \n",
       "3  ...                         0                         0   \n",
       "4  ...                         0                         0   \n",
       "\n",
       "   Outlet_Identifier_OUT010  Outlet_Size_Medium  Outlet_Size_Small  \\\n",
       "0                         0                   1                  0   \n",
       "1                         0                   1                  0   \n",
       "2                         0                   1                  0   \n",
       "3                         1                   0                  0   \n",
       "4                         0                   0                  0   \n",
       "\n",
       "   Outlet_Location_Type_Tier 3  Outlet_Location_Type_Tier 2  \\\n",
       "0                            0                            0   \n",
       "1                            1                            0   \n",
       "2                            0                            0   \n",
       "3                            1                            0   \n",
       "4                            1                            0   \n",
       "\n",
       "   Outlet_Type_Supermarket Type1  Outlet_Type_Grocery Store  \\\n",
       "0                              1                          0   \n",
       "1                              0                          0   \n",
       "2                              1                          0   \n",
       "3                              0                          1   \n",
       "4                              1                          0   \n",
       "\n",
       "   Outlet_Type_Supermarket Type3  \n",
       "0                              0  \n",
       "1                              0  \n",
       "2                              0  \n",
       "3                              0  \n",
       "4                              0  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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",
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       "</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",
       "      <th>Item_Fat_Content_Low Fat</th>\n",
       "      <th>Item_Fat_Content_Regular</th>\n",
       "      <th>Item_Fat_Content_LF</th>\n",
       "      <th>Item_Fat_Content_reg</th>\n",
       "      <th>Item_Type_Fruits and Vegetables</th>\n",
       "      <th>...</th>\n",
       "      <th>Outlet_Identifier_OUT018</th>\n",
       "      <th>Outlet_Identifier_OUT017</th>\n",
       "      <th>Outlet_Identifier_OUT010</th>\n",
       "      <th>Outlet_Size_Medium</th>\n",
       "      <th>Outlet_Size_Small</th>\n",
       "      <th>Outlet_Location_Type_Tier 3</th>\n",
       "      <th>Outlet_Location_Type_Tier 2</th>\n",
       "      <th>Outlet_Type_Supermarket Type1</th>\n",
       "      <th>Outlet_Type_Grocery Store</th>\n",
       "      <th>Outlet_Type_Supermarket Type3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Item_Weight</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.014048</td>\n",
       "      <td>0.027141</td>\n",
       "      <td>-0.011588</td>\n",
       "      <td>0.014123</td>\n",
       "      <td>0.025069</td>\n",
       "      <td>-0.023375</td>\n",
       "      <td>-0.002292</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.032474</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001315</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.003492</td>\n",
       "      <td>0.004862</td>\n",
       "      <td>-0.001233</td>\n",
       "      <td>0.011818</td>\n",
       "      <td>-0.015474</td>\n",
       "      <td>-0.003398</td>\n",
       "      <td>0.003492</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Visibility</td>\n",
       "      <td>-0.014048</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.001315</td>\n",
       "      <td>-0.074834</td>\n",
       "      <td>-0.128625</td>\n",
       "      <td>-0.046386</td>\n",
       "      <td>0.047631</td>\n",
       "      <td>0.001885</td>\n",
       "      <td>0.000523</td>\n",
       "      <td>0.018969</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034671</td>\n",
       "      <td>-0.032179</td>\n",
       "      <td>0.180697</td>\n",
       "      <td>-0.081061</td>\n",
       "      <td>0.063502</td>\n",
       "      <td>0.009650</td>\n",
       "      <td>-0.068787</td>\n",
       "      <td>-0.144249</td>\n",
       "      <td>0.286400</td>\n",
       "      <td>-0.051144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_MRP</td>\n",
       "      <td>0.027141</td>\n",
       "      <td>-0.001315</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005020</td>\n",
       "      <td>0.567574</td>\n",
       "      <td>-0.000466</td>\n",
       "      <td>0.008299</td>\n",
       "      <td>-0.006947</td>\n",
       "      <td>-0.008865</td>\n",
       "      <td>0.023688</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003850</td>\n",
       "      <td>-0.008812</td>\n",
       "      <td>-0.000912</td>\n",
       "      <td>-0.004510</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>-0.000744</td>\n",
       "      <td>0.001951</td>\n",
       "      <td>0.004885</td>\n",
       "      <td>-0.004277</td>\n",
       "      <td>-0.006714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Establishment_Year</td>\n",
       "      <td>-0.011588</td>\n",
       "      <td>-0.074834</td>\n",
       "      <td>0.005020</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.049135</td>\n",
       "      <td>0.002218</td>\n",
       "      <td>-0.002051</td>\n",
       "      <td>0.002458</td>\n",
       "      <td>0.021281</td>\n",
       "      <td>-0.005495</td>\n",
       "      <td>...</td>\n",
       "      <td>0.466336</td>\n",
       "      <td>0.382361</td>\n",
       "      <td>0.005301</td>\n",
       "      <td>-0.016346</td>\n",
       "      <td>-0.056567</td>\n",
       "      <td>-0.333895</td>\n",
       "      <td>0.540820</td>\n",
       "      <td>0.245070</td>\n",
       "      <td>-0.281196</td>\n",
       "      <td>-0.538072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Outlet_Sales</td>\n",
       "      <td>0.014123</td>\n",
       "      <td>-0.128625</td>\n",
       "      <td>0.567574</td>\n",
       "      <td>-0.049135</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011993</td>\n",
       "      <td>0.022618</td>\n",
       "      <td>-0.012389</td>\n",
       "      <td>-0.015148</td>\n",
       "      <td>0.025950</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.038059</td>\n",
       "      <td>0.032610</td>\n",
       "      <td>-0.284883</td>\n",
       "      <td>0.204701</td>\n",
       "      <td>-0.098403</td>\n",
       "      <td>0.046376</td>\n",
       "      <td>0.058261</td>\n",
       "      <td>0.108765</td>\n",
       "      <td>-0.411727</td>\n",
       "      <td>0.311192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_Low Fat</td>\n",
       "      <td>0.025069</td>\n",
       "      <td>-0.046386</td>\n",
       "      <td>-0.000466</td>\n",
       "      <td>0.002218</td>\n",
       "      <td>-0.011993</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.871729</td>\n",
       "      <td>-0.238873</td>\n",
       "      <td>-0.143620</td>\n",
       "      <td>-0.105859</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.005452</td>\n",
       "      <td>-0.002233</td>\n",
       "      <td>-0.003282</td>\n",
       "      <td>-0.003910</td>\n",
       "      <td>-0.000454</td>\n",
       "      <td>-0.007960</td>\n",
       "      <td>0.008213</td>\n",
       "      <td>0.008565</td>\n",
       "      <td>-0.003339</td>\n",
       "      <td>-0.004041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_Regular</td>\n",
       "      <td>-0.023375</td>\n",
       "      <td>0.047631</td>\n",
       "      <td>0.008299</td>\n",
       "      <td>-0.002051</td>\n",
       "      <td>0.022618</td>\n",
       "      <td>-0.871729</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.140513</td>\n",
       "      <td>-0.084482</td>\n",
       "      <td>0.112353</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002037</td>\n",
       "      <td>0.002484</td>\n",
       "      <td>-0.001131</td>\n",
       "      <td>0.002783</td>\n",
       "      <td>0.000856</td>\n",
       "      <td>0.000237</td>\n",
       "      <td>-0.002123</td>\n",
       "      <td>-0.000734</td>\n",
       "      <td>-0.002307</td>\n",
       "      <td>0.005605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_LF</td>\n",
       "      <td>-0.002292</td>\n",
       "      <td>0.001885</td>\n",
       "      <td>-0.006947</td>\n",
       "      <td>0.002458</td>\n",
       "      <td>-0.012389</td>\n",
       "      <td>-0.238873</td>\n",
       "      <td>-0.140513</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.023150</td>\n",
       "      <td>-0.011792</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015137</td>\n",
       "      <td>-0.006650</td>\n",
       "      <td>0.013648</td>\n",
       "      <td>0.001913</td>\n",
       "      <td>0.010318</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>-0.010932</td>\n",
       "      <td>-0.019290</td>\n",
       "      <td>0.009036</td>\n",
       "      <td>0.004637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_reg</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000523</td>\n",
       "      <td>-0.008865</td>\n",
       "      <td>0.021281</td>\n",
       "      <td>-0.015148</td>\n",
       "      <td>-0.143620</td>\n",
       "      <td>-0.084482</td>\n",
       "      <td>-0.023150</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017030</td>\n",
       "      <td>0.007415</td>\n",
       "      <td>0.005645</td>\n",
       "      <td>0.007860</td>\n",
       "      <td>-0.012981</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>0.005176</td>\n",
       "      <td>-0.002625</td>\n",
       "      <td>-0.022054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Fruits and Vegetables</td>\n",
       "      <td>0.032474</td>\n",
       "      <td>0.018969</td>\n",
       "      <td>0.023688</td>\n",
       "      <td>-0.005495</td>\n",
       "      <td>0.025950</td>\n",
       "      <td>-0.105859</td>\n",
       "      <td>0.112353</td>\n",
       "      <td>-0.011792</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000919</td>\n",
       "      <td>-0.007348</td>\n",
       "      <td>-0.001657</td>\n",
       "      <td>0.006591</td>\n",
       "      <td>-0.012768</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>-0.002541</td>\n",
       "      <td>-0.000811</td>\n",
       "      <td>-0.004556</td>\n",
       "      <td>0.005173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Snack Foods</td>\n",
       "      <td>0.011314</td>\n",
       "      <td>0.005635</td>\n",
       "      <td>0.033817</td>\n",
       "      <td>0.002650</td>\n",
       "      <td>0.022782</td>\n",
       "      <td>-0.049181</td>\n",
       "      <td>0.055759</td>\n",
       "      <td>-0.024087</td>\n",
       "      <td>0.018922</td>\n",
       "      <td>-0.166402</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001453</td>\n",
       "      <td>-0.002576</td>\n",
       "      <td>-0.009764</td>\n",
       "      <td>0.010607</td>\n",
       "      <td>-0.000916</td>\n",
       "      <td>-0.004603</td>\n",
       "      <td>0.006390</td>\n",
       "      <td>-0.000154</td>\n",
       "      <td>-0.006565</td>\n",
       "      <td>0.005782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Household</td>\n",
       "      <td>0.039400</td>\n",
       "      <td>-0.032230</td>\n",
       "      <td>0.046815</td>\n",
       "      <td>-0.001951</td>\n",
       "      <td>0.015701</td>\n",
       "      <td>0.229783</td>\n",
       "      <td>-0.247576</td>\n",
       "      <td>0.040739</td>\n",
       "      <td>-0.040789</td>\n",
       "      <td>-0.142120</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004979</td>\n",
       "      <td>-0.004723</td>\n",
       "      <td>0.011922</td>\n",
       "      <td>-0.007454</td>\n",
       "      <td>0.001720</td>\n",
       "      <td>0.004917</td>\n",
       "      <td>-0.001097</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.003842</td>\n",
       "      <td>-0.001009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Frozen Foods</td>\n",
       "      <td>0.000682</td>\n",
       "      <td>-0.003153</td>\n",
       "      <td>-0.013358</td>\n",
       "      <td>0.007690</td>\n",
       "      <td>-0.009482</td>\n",
       "      <td>-0.069325</td>\n",
       "      <td>0.079862</td>\n",
       "      <td>-0.020116</td>\n",
       "      <td>0.024319</td>\n",
       "      <td>-0.137352</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001507</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>-0.002754</td>\n",
       "      <td>-0.005416</td>\n",
       "      <td>0.007965</td>\n",
       "      <td>-0.007556</td>\n",
       "      <td>-0.000590</td>\n",
       "      <td>0.009750</td>\n",
       "      <td>-0.006763</td>\n",
       "      <td>-0.006128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Dairy</td>\n",
       "      <td>0.036142</td>\n",
       "      <td>0.035984</td>\n",
       "      <td>0.035551</td>\n",
       "      <td>-0.005286</td>\n",
       "      <td>0.008858</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>0.024507</td>\n",
       "      <td>-0.002943</td>\n",
       "      <td>-0.012495</td>\n",
       "      <td>-0.121232</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001746</td>\n",
       "      <td>-0.000135</td>\n",
       "      <td>-0.002472</td>\n",
       "      <td>-0.005060</td>\n",
       "      <td>0.006659</td>\n",
       "      <td>-0.004482</td>\n",
       "      <td>-0.008162</td>\n",
       "      <td>0.003396</td>\n",
       "      <td>0.006933</td>\n",
       "      <td>-0.010817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Canned</td>\n",
       "      <td>-0.034176</td>\n",
       "      <td>0.011114</td>\n",
       "      <td>-0.005666</td>\n",
       "      <td>0.010998</td>\n",
       "      <td>0.007387</td>\n",
       "      <td>-0.066300</td>\n",
       "      <td>0.071969</td>\n",
       "      <td>-0.016534</td>\n",
       "      <td>0.007949</td>\n",
       "      <td>-0.118015</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010418</td>\n",
       "      <td>-0.002149</td>\n",
       "      <td>-0.013019</td>\n",
       "      <td>0.004073</td>\n",
       "      <td>0.007054</td>\n",
       "      <td>-0.004612</td>\n",
       "      <td>0.009366</td>\n",
       "      <td>0.001236</td>\n",
       "      <td>-0.012574</td>\n",
       "      <td>0.001136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Baking Goods</td>\n",
       "      <td>-0.035838</td>\n",
       "      <td>0.016887</td>\n",
       "      <td>-0.067311</td>\n",
       "      <td>-0.003546</td>\n",
       "      <td>-0.038381</td>\n",
       "      <td>-0.077541</td>\n",
       "      <td>0.080754</td>\n",
       "      <td>-0.009431</td>\n",
       "      <td>0.015616</td>\n",
       "      <td>-0.117916</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003632</td>\n",
       "      <td>0.003694</td>\n",
       "      <td>-0.000352</td>\n",
       "      <td>-0.008819</td>\n",
       "      <td>0.005364</td>\n",
       "      <td>-0.002446</td>\n",
       "      <td>-0.000701</td>\n",
       "      <td>0.001846</td>\n",
       "      <td>0.003536</td>\n",
       "      <td>-0.002957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Health and Hygiene</td>\n",
       "      <td>0.015614</td>\n",
       "      <td>-0.053931</td>\n",
       "      <td>-0.041646</td>\n",
       "      <td>-0.002961</td>\n",
       "      <td>-0.025587</td>\n",
       "      <td>0.170414</td>\n",
       "      <td>-0.182533</td>\n",
       "      <td>0.025218</td>\n",
       "      <td>-0.030073</td>\n",
       "      <td>-0.104782</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002174</td>\n",
       "      <td>0.007094</td>\n",
       "      <td>0.006236</td>\n",
       "      <td>-0.000423</td>\n",
       "      <td>-0.010583</td>\n",
       "      <td>0.011654</td>\n",
       "      <td>-0.004093</td>\n",
       "      <td>-0.005422</td>\n",
       "      <td>0.001361</td>\n",
       "      <td>0.004634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Soft Drinks</td>\n",
       "      <td>-0.051457</td>\n",
       "      <td>-0.009825</td>\n",
       "      <td>-0.035808</td>\n",
       "      <td>0.007486</td>\n",
       "      <td>-0.024040</td>\n",
       "      <td>0.078817</td>\n",
       "      <td>-0.090075</td>\n",
       "      <td>0.032104</td>\n",
       "      <td>-0.023157</td>\n",
       "      <td>-0.096481</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004153</td>\n",
       "      <td>0.009579</td>\n",
       "      <td>-0.002090</td>\n",
       "      <td>-0.009919</td>\n",
       "      <td>0.001549</td>\n",
       "      <td>-0.007461</td>\n",
       "      <td>0.013034</td>\n",
       "      <td>0.009777</td>\n",
       "      <td>-0.004031</td>\n",
       "      <td>-0.006443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Meat</td>\n",
       "      <td>-0.001943</td>\n",
       "      <td>-0.017087</td>\n",
       "      <td>-0.004086</td>\n",
       "      <td>-0.013428</td>\n",
       "      <td>-0.002995</td>\n",
       "      <td>-0.104144</td>\n",
       "      <td>0.118361</td>\n",
       "      <td>-0.016425</td>\n",
       "      <td>0.005401</td>\n",
       "      <td>-0.094171</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000476</td>\n",
       "      <td>-0.003767</td>\n",
       "      <td>0.013818</td>\n",
       "      <td>0.011170</td>\n",
       "      <td>-0.000093</td>\n",
       "      <td>0.010983</td>\n",
       "      <td>-0.015945</td>\n",
       "      <td>-0.023912</td>\n",
       "      <td>0.019416</td>\n",
       "      <td>0.016172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Breads</td>\n",
       "      <td>-0.056124</td>\n",
       "      <td>0.000416</td>\n",
       "      <td>-0.000112</td>\n",
       "      <td>-0.003631</td>\n",
       "      <td>0.002332</td>\n",
       "      <td>-0.033774</td>\n",
       "      <td>0.033603</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.002658</td>\n",
       "      <td>-0.071605</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000734</td>\n",
       "      <td>-0.011754</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0.001104</td>\n",
       "      <td>0.001042</td>\n",
       "      <td>0.001909</td>\n",
       "      <td>0.002933</td>\n",
       "      <td>-0.006189</td>\n",
       "      <td>0.002305</td>\n",
       "      <td>0.007693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Hard Drinks</td>\n",
       "      <td>-0.051200</td>\n",
       "      <td>-0.003700</td>\n",
       "      <td>-0.010089</td>\n",
       "      <td>0.006627</td>\n",
       "      <td>-0.003956</td>\n",
       "      <td>0.108896</td>\n",
       "      <td>-0.114921</td>\n",
       "      <td>0.000261</td>\n",
       "      <td>-0.018933</td>\n",
       "      <td>-0.065970</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003132</td>\n",
       "      <td>-0.003013</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.007784</td>\n",
       "      <td>-0.016631</td>\n",
       "      <td>-0.000174</td>\n",
       "      <td>0.003314</td>\n",
       "      <td>0.007837</td>\n",
       "      <td>-0.007189</td>\n",
       "      <td>-0.001143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Others</td>\n",
       "      <td>0.030165</td>\n",
       "      <td>-0.016240</td>\n",
       "      <td>-0.018595</td>\n",
       "      <td>-0.002874</td>\n",
       "      <td>-0.021267</td>\n",
       "      <td>0.094531</td>\n",
       "      <td>-0.101850</td>\n",
       "      <td>0.021087</td>\n",
       "      <td>-0.016780</td>\n",
       "      <td>-0.058467</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>-0.006386</td>\n",
       "      <td>-0.003428</td>\n",
       "      <td>-0.006063</td>\n",
       "      <td>0.014335</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.005783</td>\n",
       "      <td>-0.006344</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>-0.009533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Starchy Foods</td>\n",
       "      <td>0.024574</td>\n",
       "      <td>0.003688</td>\n",
       "      <td>0.014613</td>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.015039</td>\n",
       "      <td>-0.029977</td>\n",
       "      <td>0.016761</td>\n",
       "      <td>0.016699</td>\n",
       "      <td>0.038352</td>\n",
       "      <td>-0.054645</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002553</td>\n",
       "      <td>0.005542</td>\n",
       "      <td>-0.002321</td>\n",
       "      <td>-0.000956</td>\n",
       "      <td>-0.006934</td>\n",
       "      <td>0.001523</td>\n",
       "      <td>0.008884</td>\n",
       "      <td>0.013516</td>\n",
       "      <td>-0.015658</td>\n",
       "      <td>-0.006427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Breakfast</td>\n",
       "      <td>-0.002177</td>\n",
       "      <td>0.043418</td>\n",
       "      <td>0.001460</td>\n",
       "      <td>-0.006768</td>\n",
       "      <td>-0.004656</td>\n",
       "      <td>-0.056544</td>\n",
       "      <td>0.065253</td>\n",
       "      <td>-0.011434</td>\n",
       "      <td>0.004377</td>\n",
       "      <td>-0.047004</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>0.007740</td>\n",
       "      <td>-0.000104</td>\n",
       "      <td>-0.001898</td>\n",
       "      <td>0.003754</td>\n",
       "      <td>-0.008741</td>\n",
       "      <td>-0.008695</td>\n",
       "      <td>0.015676</td>\n",
       "      <td>-0.003550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT027</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.051144</td>\n",
       "      <td>-0.006714</td>\n",
       "      <td>-0.538072</td>\n",
       "      <td>0.311192</td>\n",
       "      <td>-0.004041</td>\n",
       "      <td>0.005605</td>\n",
       "      <td>0.004637</td>\n",
       "      <td>-0.022054</td>\n",
       "      <td>0.005173</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122702</td>\n",
       "      <td>-0.122554</td>\n",
       "      <td>-0.092643</td>\n",
       "      <td>0.502787</td>\n",
       "      <td>-0.219004</td>\n",
       "      <td>0.436205</td>\n",
       "      <td>-0.244554</td>\n",
       "      <td>-0.482977</td>\n",
       "      <td>-0.133928</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT013</td>\n",
       "      <td>0.012473</td>\n",
       "      <td>-0.041937</td>\n",
       "      <td>0.002438</td>\n",
       "      <td>-0.453388</td>\n",
       "      <td>0.024170</td>\n",
       "      <td>-0.000374</td>\n",
       "      <td>-0.002316</td>\n",
       "      <td>-0.005084</td>\n",
       "      <td>0.000665</td>\n",
       "      <td>0.007783</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122481</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.092476</td>\n",
       "      <td>-0.244634</td>\n",
       "      <td>-0.218609</td>\n",
       "      <td>0.435419</td>\n",
       "      <td>-0.244113</td>\n",
       "      <td>0.254668</td>\n",
       "      <td>-0.133686</td>\n",
       "      <td>-0.122999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT046</td>\n",
       "      <td>0.000768</td>\n",
       "      <td>-0.038444</td>\n",
       "      <td>0.005983</td>\n",
       "      <td>-0.034777</td>\n",
       "      <td>0.019803</td>\n",
       "      <td>-0.002527</td>\n",
       "      <td>0.003786</td>\n",
       "      <td>0.009001</td>\n",
       "      <td>-0.002479</td>\n",
       "      <td>-0.009023</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.122185</td>\n",
       "      <td>-0.092365</td>\n",
       "      <td>-0.244339</td>\n",
       "      <td>0.560951</td>\n",
       "      <td>-0.281635</td>\n",
       "      <td>-0.243819</td>\n",
       "      <td>0.254361</td>\n",
       "      <td>-0.133525</td>\n",
       "      <td>-0.122850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT049</td>\n",
       "      <td>0.005017</td>\n",
       "      <td>-0.036130</td>\n",
       "      <td>-0.003906</td>\n",
       "      <td>0.048836</td>\n",
       "      <td>0.034264</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.000606</td>\n",
       "      <td>-0.016891</td>\n",
       "      <td>0.016925</td>\n",
       "      <td>0.003819</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.122185</td>\n",
       "      <td>-0.092365</td>\n",
       "      <td>0.501276</td>\n",
       "      <td>-0.218346</td>\n",
       "      <td>-0.281635</td>\n",
       "      <td>-0.243819</td>\n",
       "      <td>0.254361</td>\n",
       "      <td>-0.133525</td>\n",
       "      <td>-0.122850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT035</td>\n",
       "      <td>-0.002374</td>\n",
       "      <td>-0.033025</td>\n",
       "      <td>0.011969</td>\n",
       "      <td>0.257868</td>\n",
       "      <td>0.052823</td>\n",
       "      <td>0.002843</td>\n",
       "      <td>-0.000984</td>\n",
       "      <td>0.007009</td>\n",
       "      <td>-0.008948</td>\n",
       "      <td>-0.005813</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.122185</td>\n",
       "      <td>-0.092365</td>\n",
       "      <td>-0.244339</td>\n",
       "      <td>0.560951</td>\n",
       "      <td>-0.281635</td>\n",
       "      <td>0.502345</td>\n",
       "      <td>0.254361</td>\n",
       "      <td>-0.133525</td>\n",
       "      <td>-0.122850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT045</td>\n",
       "      <td>-0.017409</td>\n",
       "      <td>-0.038353</td>\n",
       "      <td>-0.000239</td>\n",
       "      <td>0.174150</td>\n",
       "      <td>0.002274</td>\n",
       "      <td>0.011747</td>\n",
       "      <td>-0.004692</td>\n",
       "      <td>-0.016825</td>\n",
       "      <td>-0.005672</td>\n",
       "      <td>0.009329</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122260</td>\n",
       "      <td>-0.122112</td>\n",
       "      <td>-0.092309</td>\n",
       "      <td>-0.244192</td>\n",
       "      <td>-0.218214</td>\n",
       "      <td>-0.281465</td>\n",
       "      <td>0.502042</td>\n",
       "      <td>0.254208</td>\n",
       "      <td>-0.133444</td>\n",
       "      <td>-0.122776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT018</td>\n",
       "      <td>0.001315</td>\n",
       "      <td>-0.034671</td>\n",
       "      <td>0.003850</td>\n",
       "      <td>0.466336</td>\n",
       "      <td>-0.038059</td>\n",
       "      <td>-0.005452</td>\n",
       "      <td>-0.002037</td>\n",
       "      <td>0.015137</td>\n",
       "      <td>0.017030</td>\n",
       "      <td>0.000919</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.122038</td>\n",
       "      <td>-0.092253</td>\n",
       "      <td>0.500670</td>\n",
       "      <td>-0.218082</td>\n",
       "      <td>0.434369</td>\n",
       "      <td>-0.243524</td>\n",
       "      <td>-0.480943</td>\n",
       "      <td>-0.133364</td>\n",
       "      <td>-0.122702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT017</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.032179</td>\n",
       "      <td>-0.008812</td>\n",
       "      <td>0.382361</td>\n",
       "      <td>0.032610</td>\n",
       "      <td>-0.002233</td>\n",
       "      <td>0.002484</td>\n",
       "      <td>-0.006650</td>\n",
       "      <td>0.007415</td>\n",
       "      <td>-0.007348</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122038</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.092142</td>\n",
       "      <td>-0.243749</td>\n",
       "      <td>-0.217818</td>\n",
       "      <td>-0.280954</td>\n",
       "      <td>0.501132</td>\n",
       "      <td>0.253747</td>\n",
       "      <td>-0.133202</td>\n",
       "      <td>-0.122554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT010</td>\n",
       "      <td>0.003492</td>\n",
       "      <td>0.180697</td>\n",
       "      <td>-0.000912</td>\n",
       "      <td>0.005301</td>\n",
       "      <td>-0.284883</td>\n",
       "      <td>-0.003282</td>\n",
       "      <td>-0.001131</td>\n",
       "      <td>0.013648</td>\n",
       "      <td>0.005645</td>\n",
       "      <td>-0.001657</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.092253</td>\n",
       "      <td>-0.092142</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.184260</td>\n",
       "      <td>-0.164658</td>\n",
       "      <td>0.327960</td>\n",
       "      <td>-0.183867</td>\n",
       "      <td>-0.363125</td>\n",
       "      <td>0.691742</td>\n",
       "      <td>-0.092643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Size_Medium</td>\n",
       "      <td>0.004862</td>\n",
       "      <td>-0.081061</td>\n",
       "      <td>-0.004510</td>\n",
       "      <td>-0.016346</td>\n",
       "      <td>0.204701</td>\n",
       "      <td>-0.003910</td>\n",
       "      <td>0.002783</td>\n",
       "      <td>0.001913</td>\n",
       "      <td>0.007860</td>\n",
       "      <td>0.006591</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500670</td>\n",
       "      <td>-0.243749</td>\n",
       "      <td>-0.184260</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.435580</td>\n",
       "      <td>0.391617</td>\n",
       "      <td>-0.486397</td>\n",
       "      <td>-0.471782</td>\n",
       "      <td>-0.266370</td>\n",
       "      <td>0.502787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Size_Small</td>\n",
       "      <td>-0.001233</td>\n",
       "      <td>0.063502</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>-0.056567</td>\n",
       "      <td>-0.098403</td>\n",
       "      <td>-0.000454</td>\n",
       "      <td>0.000856</td>\n",
       "      <td>0.010318</td>\n",
       "      <td>-0.012981</td>\n",
       "      <td>-0.012768</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.218082</td>\n",
       "      <td>-0.217818</td>\n",
       "      <td>-0.164658</td>\n",
       "      <td>-0.435580</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.502066</td>\n",
       "      <td>0.083381</td>\n",
       "      <td>0.163388</td>\n",
       "      <td>0.176158</td>\n",
       "      <td>-0.219004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Location_Type_Tier 3</td>\n",
       "      <td>0.011818</td>\n",
       "      <td>0.009650</td>\n",
       "      <td>-0.000744</td>\n",
       "      <td>-0.333895</td>\n",
       "      <td>0.046376</td>\n",
       "      <td>-0.007960</td>\n",
       "      <td>0.000237</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>...</td>\n",
       "      <td>0.434369</td>\n",
       "      <td>-0.280954</td>\n",
       "      <td>0.327960</td>\n",
       "      <td>0.391617</td>\n",
       "      <td>-0.502066</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.560639</td>\n",
       "      <td>-0.636465</td>\n",
       "      <td>0.093276</td>\n",
       "      <td>0.436205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Location_Type_Tier 2</td>\n",
       "      <td>-0.015474</td>\n",
       "      <td>-0.068787</td>\n",
       "      <td>0.001951</td>\n",
       "      <td>0.540820</td>\n",
       "      <td>0.058261</td>\n",
       "      <td>0.008213</td>\n",
       "      <td>-0.002123</td>\n",
       "      <td>-0.010932</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.002541</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.243524</td>\n",
       "      <td>0.501132</td>\n",
       "      <td>-0.183867</td>\n",
       "      <td>-0.486397</td>\n",
       "      <td>0.083381</td>\n",
       "      <td>-0.560639</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.506347</td>\n",
       "      <td>-0.265803</td>\n",
       "      <td>-0.244554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Type_Supermarket Type1</td>\n",
       "      <td>-0.003398</td>\n",
       "      <td>-0.144249</td>\n",
       "      <td>0.004885</td>\n",
       "      <td>0.245070</td>\n",
       "      <td>0.108765</td>\n",
       "      <td>0.008565</td>\n",
       "      <td>-0.000734</td>\n",
       "      <td>-0.019290</td>\n",
       "      <td>0.005176</td>\n",
       "      <td>-0.000811</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.480943</td>\n",
       "      <td>0.253747</td>\n",
       "      <td>-0.363125</td>\n",
       "      <td>-0.471782</td>\n",
       "      <td>0.163388</td>\n",
       "      <td>-0.636465</td>\n",
       "      <td>0.506347</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.524942</td>\n",
       "      <td>-0.482977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Type_Grocery Store</td>\n",
       "      <td>0.003492</td>\n",
       "      <td>0.286400</td>\n",
       "      <td>-0.004277</td>\n",
       "      <td>-0.281196</td>\n",
       "      <td>-0.411727</td>\n",
       "      <td>-0.003339</td>\n",
       "      <td>-0.002307</td>\n",
       "      <td>0.009036</td>\n",
       "      <td>-0.002625</td>\n",
       "      <td>-0.004556</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.133364</td>\n",
       "      <td>-0.133202</td>\n",
       "      <td>0.691742</td>\n",
       "      <td>-0.266370</td>\n",
       "      <td>0.176158</td>\n",
       "      <td>0.093276</td>\n",
       "      <td>-0.265803</td>\n",
       "      <td>-0.524942</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.133928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Type_Supermarket Type3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.051144</td>\n",
       "      <td>-0.006714</td>\n",
       "      <td>-0.538072</td>\n",
       "      <td>0.311192</td>\n",
       "      <td>-0.004041</td>\n",
       "      <td>0.005605</td>\n",
       "      <td>0.004637</td>\n",
       "      <td>-0.022054</td>\n",
       "      <td>0.005173</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122702</td>\n",
       "      <td>-0.122554</td>\n",
       "      <td>-0.092643</td>\n",
       "      <td>0.502787</td>\n",
       "      <td>-0.219004</td>\n",
       "      <td>0.436205</td>\n",
       "      <td>-0.244554</td>\n",
       "      <td>-0.482977</td>\n",
       "      <td>-0.133928</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Item_Weight  Item_Visibility  Item_MRP  \\\n",
       "Item_Weight                         1.000000        -0.014048  0.027141   \n",
       "Item_Visibility                    -0.014048         1.000000 -0.001315   \n",
       "Item_MRP                            0.027141        -0.001315  1.000000   \n",
       "Outlet_Establishment_Year          -0.011588        -0.074834  0.005020   \n",
       "Item_Outlet_Sales                   0.014123        -0.128625  0.567574   \n",
       "Item_Fat_Content_Low Fat            0.025069        -0.046386 -0.000466   \n",
       "Item_Fat_Content_Regular           -0.023375         0.047631  0.008299   \n",
       "Item_Fat_Content_LF                -0.002292         0.001885 -0.006947   \n",
       "Item_Fat_Content_reg               -0.000399         0.000523 -0.008865   \n",
       "Item_Type_Fruits and Vegetables     0.032474         0.018969  0.023688   \n",
       "Item_Type_Snack Foods               0.011314         0.005635  0.033817   \n",
       "Item_Type_Household                 0.039400        -0.032230  0.046815   \n",
       "Item_Type_Frozen Foods              0.000682        -0.003153 -0.013358   \n",
       "Item_Type_Dairy                     0.036142         0.035984  0.035551   \n",
       "Item_Type_Canned                   -0.034176         0.011114 -0.005666   \n",
       "Item_Type_Baking Goods             -0.035838         0.016887 -0.067311   \n",
       "Item_Type_Health and Hygiene        0.015614        -0.053931 -0.041646   \n",
       "Item_Type_Soft Drinks              -0.051457        -0.009825 -0.035808   \n",
       "Item_Type_Meat                     -0.001943        -0.017087 -0.004086   \n",
       "Item_Type_Breads                   -0.056124         0.000416 -0.000112   \n",
       "Item_Type_Hard Drinks              -0.051200        -0.003700 -0.010089   \n",
       "Item_Type_Others                    0.030165        -0.016240 -0.018595   \n",
       "Item_Type_Starchy Foods             0.024574         0.003688  0.014613   \n",
       "Item_Type_Breakfast                -0.002177         0.043418  0.001460   \n",
       "Outlet_Identifier_OUT027                 NaN        -0.051144 -0.006714   \n",
       "Outlet_Identifier_OUT013            0.012473        -0.041937  0.002438   \n",
       "Outlet_Identifier_OUT046            0.000768        -0.038444  0.005983   \n",
       "Outlet_Identifier_OUT049            0.005017        -0.036130 -0.003906   \n",
       "Outlet_Identifier_OUT035           -0.002374        -0.033025  0.011969   \n",
       "Outlet_Identifier_OUT045           -0.017409        -0.038353 -0.000239   \n",
       "Outlet_Identifier_OUT018            0.001315        -0.034671  0.003850   \n",
       "Outlet_Identifier_OUT017           -0.002592        -0.032179 -0.008812   \n",
       "Outlet_Identifier_OUT010            0.003492         0.180697 -0.000912   \n",
       "Outlet_Size_Medium                  0.004862        -0.081061 -0.004510   \n",
       "Outlet_Size_Small                  -0.001233         0.063502  0.009793   \n",
       "Outlet_Location_Type_Tier 3         0.011818         0.009650 -0.000744   \n",
       "Outlet_Location_Type_Tier 2        -0.015474        -0.068787  0.001951   \n",
       "Outlet_Type_Supermarket Type1      -0.003398        -0.144249  0.004885   \n",
       "Outlet_Type_Grocery Store           0.003492         0.286400 -0.004277   \n",
       "Outlet_Type_Supermarket Type3            NaN        -0.051144 -0.006714   \n",
       "\n",
       "                                 Outlet_Establishment_Year  Item_Outlet_Sales  \\\n",
       "Item_Weight                                      -0.011588           0.014123   \n",
       "Item_Visibility                                  -0.074834          -0.128625   \n",
       "Item_MRP                                          0.005020           0.567574   \n",
       "Outlet_Establishment_Year                         1.000000          -0.049135   \n",
       "Item_Outlet_Sales                                -0.049135           1.000000   \n",
       "Item_Fat_Content_Low Fat                          0.002218          -0.011993   \n",
       "Item_Fat_Content_Regular                         -0.002051           0.022618   \n",
       "Item_Fat_Content_LF                               0.002458          -0.012389   \n",
       "Item_Fat_Content_reg                              0.021281          -0.015148   \n",
       "Item_Type_Fruits and Vegetables                  -0.005495           0.025950   \n",
       "Item_Type_Snack Foods                             0.002650           0.022782   \n",
       "Item_Type_Household                              -0.001951           0.015701   \n",
       "Item_Type_Frozen Foods                            0.007690          -0.009482   \n",
       "Item_Type_Dairy                                  -0.005286           0.008858   \n",
       "Item_Type_Canned                                  0.010998           0.007387   \n",
       "Item_Type_Baking Goods                           -0.003546          -0.038381   \n",
       "Item_Type_Health and Hygiene                     -0.002961          -0.025587   \n",
       "Item_Type_Soft Drinks                             0.007486          -0.024040   \n",
       "Item_Type_Meat                                   -0.013428          -0.002995   \n",
       "Item_Type_Breads                                 -0.003631           0.002332   \n",
       "Item_Type_Hard Drinks                             0.006627          -0.003956   \n",
       "Item_Type_Others                                 -0.002874          -0.021267   \n",
       "Item_Type_Starchy Foods                           0.011897           0.015039   \n",
       "Item_Type_Breakfast                              -0.006768          -0.004656   \n",
       "Outlet_Identifier_OUT027                         -0.538072           0.311192   \n",
       "Outlet_Identifier_OUT013                         -0.453388           0.024170   \n",
       "Outlet_Identifier_OUT046                         -0.034777           0.019803   \n",
       "Outlet_Identifier_OUT049                          0.048836           0.034264   \n",
       "Outlet_Identifier_OUT035                          0.257868           0.052823   \n",
       "Outlet_Identifier_OUT045                          0.174150           0.002274   \n",
       "Outlet_Identifier_OUT018                          0.466336          -0.038059   \n",
       "Outlet_Identifier_OUT017                          0.382361           0.032610   \n",
       "Outlet_Identifier_OUT010                          0.005301          -0.284883   \n",
       "Outlet_Size_Medium                               -0.016346           0.204701   \n",
       "Outlet_Size_Small                                -0.056567          -0.098403   \n",
       "Outlet_Location_Type_Tier 3                      -0.333895           0.046376   \n",
       "Outlet_Location_Type_Tier 2                       0.540820           0.058261   \n",
       "Outlet_Type_Supermarket Type1                     0.245070           0.108765   \n",
       "Outlet_Type_Grocery Store                        -0.281196          -0.411727   \n",
       "Outlet_Type_Supermarket Type3                    -0.538072           0.311192   \n",
       "\n",
       "                                 Item_Fat_Content_Low Fat  \\\n",
       "Item_Weight                                      0.025069   \n",
       "Item_Visibility                                 -0.046386   \n",
       "Item_MRP                                        -0.000466   \n",
       "Outlet_Establishment_Year                        0.002218   \n",
       "Item_Outlet_Sales                               -0.011993   \n",
       "Item_Fat_Content_Low Fat                         1.000000   \n",
       "Item_Fat_Content_Regular                        -0.871729   \n",
       "Item_Fat_Content_LF                             -0.238873   \n",
       "Item_Fat_Content_reg                            -0.143620   \n",
       "Item_Type_Fruits and Vegetables                 -0.105859   \n",
       "Item_Type_Snack Foods                           -0.049181   \n",
       "Item_Type_Household                              0.229783   \n",
       "Item_Type_Frozen Foods                          -0.069325   \n",
       "Item_Type_Dairy                                 -0.022231   \n",
       "Item_Type_Canned                                -0.066300   \n",
       "Item_Type_Baking Goods                          -0.077541   \n",
       "Item_Type_Health and Hygiene                     0.170414   \n",
       "Item_Type_Soft Drinks                            0.078817   \n",
       "Item_Type_Meat                                  -0.104144   \n",
       "Item_Type_Breads                                -0.033774   \n",
       "Item_Type_Hard Drinks                            0.108896   \n",
       "Item_Type_Others                                 0.094531   \n",
       "Item_Type_Starchy Foods                         -0.029977   \n",
       "Item_Type_Breakfast                             -0.056544   \n",
       "Outlet_Identifier_OUT027                        -0.004041   \n",
       "Outlet_Identifier_OUT013                        -0.000374   \n",
       "Outlet_Identifier_OUT046                        -0.002527   \n",
       "Outlet_Identifier_OUT049                         0.003611   \n",
       "Outlet_Identifier_OUT035                         0.002843   \n",
       "Outlet_Identifier_OUT045                         0.011747   \n",
       "Outlet_Identifier_OUT018                        -0.005452   \n",
       "Outlet_Identifier_OUT017                        -0.002233   \n",
       "Outlet_Identifier_OUT010                        -0.003282   \n",
       "Outlet_Size_Medium                              -0.003910   \n",
       "Outlet_Size_Small                               -0.000454   \n",
       "Outlet_Location_Type_Tier 3                     -0.007960   \n",
       "Outlet_Location_Type_Tier 2                      0.008213   \n",
       "Outlet_Type_Supermarket Type1                    0.008565   \n",
       "Outlet_Type_Grocery Store                       -0.003339   \n",
       "Outlet_Type_Supermarket Type3                   -0.004041   \n",
       "\n",
       "                                 Item_Fat_Content_Regular  \\\n",
       "Item_Weight                                     -0.023375   \n",
       "Item_Visibility                                  0.047631   \n",
       "Item_MRP                                         0.008299   \n",
       "Outlet_Establishment_Year                       -0.002051   \n",
       "Item_Outlet_Sales                                0.022618   \n",
       "Item_Fat_Content_Low Fat                        -0.871729   \n",
       "Item_Fat_Content_Regular                         1.000000   \n",
       "Item_Fat_Content_LF                             -0.140513   \n",
       "Item_Fat_Content_reg                            -0.084482   \n",
       "Item_Type_Fruits and Vegetables                  0.112353   \n",
       "Item_Type_Snack Foods                            0.055759   \n",
       "Item_Type_Household                             -0.247576   \n",
       "Item_Type_Frozen Foods                           0.079862   \n",
       "Item_Type_Dairy                                  0.024507   \n",
       "Item_Type_Canned                                 0.071969   \n",
       "Item_Type_Baking Goods                           0.080754   \n",
       "Item_Type_Health and Hygiene                    -0.182533   \n",
       "Item_Type_Soft Drinks                           -0.090075   \n",
       "Item_Type_Meat                                   0.118361   \n",
       "Item_Type_Breads                                 0.033603   \n",
       "Item_Type_Hard Drinks                           -0.114921   \n",
       "Item_Type_Others                                -0.101850   \n",
       "Item_Type_Starchy Foods                          0.016761   \n",
       "Item_Type_Breakfast                              0.065253   \n",
       "Outlet_Identifier_OUT027                         0.005605   \n",
       "Outlet_Identifier_OUT013                        -0.002316   \n",
       "Outlet_Identifier_OUT046                         0.003786   \n",
       "Outlet_Identifier_OUT049                         0.000606   \n",
       "Outlet_Identifier_OUT035                        -0.000984   \n",
       "Outlet_Identifier_OUT045                        -0.004692   \n",
       "Outlet_Identifier_OUT018                        -0.002037   \n",
       "Outlet_Identifier_OUT017                         0.002484   \n",
       "Outlet_Identifier_OUT010                        -0.001131   \n",
       "Outlet_Size_Medium                               0.002783   \n",
       "Outlet_Size_Small                                0.000856   \n",
       "Outlet_Location_Type_Tier 3                      0.000237   \n",
       "Outlet_Location_Type_Tier 2                     -0.002123   \n",
       "Outlet_Type_Supermarket Type1                   -0.000734   \n",
       "Outlet_Type_Grocery Store                       -0.002307   \n",
       "Outlet_Type_Supermarket Type3                    0.005605   \n",
       "\n",
       "                                 Item_Fat_Content_LF  Item_Fat_Content_reg  \\\n",
       "Item_Weight                                -0.002292             -0.000399   \n",
       "Item_Visibility                             0.001885              0.000523   \n",
       "Item_MRP                                   -0.006947             -0.008865   \n",
       "Outlet_Establishment_Year                   0.002458              0.021281   \n",
       "Item_Outlet_Sales                          -0.012389             -0.015148   \n",
       "Item_Fat_Content_Low Fat                   -0.238873             -0.143620   \n",
       "Item_Fat_Content_Regular                   -0.140513             -0.084482   \n",
       "Item_Fat_Content_LF                         1.000000             -0.023150   \n",
       "Item_Fat_Content_reg                       -0.023150              1.000000   \n",
       "Item_Type_Fruits and Vegetables            -0.011792              0.023191   \n",
       "Item_Type_Snack Foods                      -0.024087              0.018922   \n",
       "Item_Type_Household                         0.040739             -0.040789   \n",
       "Item_Type_Frozen Foods                     -0.020116              0.024319   \n",
       "Item_Type_Dairy                            -0.002943             -0.012495   \n",
       "Item_Type_Canned                           -0.016534              0.007949   \n",
       "Item_Type_Baking Goods                     -0.009431              0.015616   \n",
       "Item_Type_Health and Hygiene                0.025218             -0.030073   \n",
       "Item_Type_Soft Drinks                       0.032104             -0.023157   \n",
       "Item_Type_Meat                             -0.016425              0.005401   \n",
       "Item_Type_Breads                           -0.004797             -0.002658   \n",
       "Item_Type_Hard Drinks                       0.000261             -0.018933   \n",
       "Item_Type_Others                            0.021087             -0.016780   \n",
       "Item_Type_Starchy Foods                     0.016699              0.038352   \n",
       "Item_Type_Breakfast                        -0.011434              0.004377   \n",
       "Outlet_Identifier_OUT027                    0.004637             -0.022054   \n",
       "Outlet_Identifier_OUT013                   -0.005084              0.000665   \n",
       "Outlet_Identifier_OUT046                    0.009001             -0.002479   \n",
       "Outlet_Identifier_OUT049                   -0.016891              0.016925   \n",
       "Outlet_Identifier_OUT035                    0.007009             -0.008948   \n",
       "Outlet_Identifier_OUT045                   -0.016825             -0.005672   \n",
       "Outlet_Identifier_OUT018                    0.015137              0.017030   \n",
       "Outlet_Identifier_OUT017                   -0.006650              0.007415   \n",
       "Outlet_Identifier_OUT010                    0.013648              0.005645   \n",
       "Outlet_Size_Medium                          0.001913              0.007860   \n",
       "Outlet_Size_Small                           0.010318             -0.012981   \n",
       "Outlet_Location_Type_Tier 3                 0.016267              0.000026   \n",
       "Outlet_Location_Type_Tier 2                -0.010932             -0.004797   \n",
       "Outlet_Type_Supermarket Type1              -0.019290              0.005176   \n",
       "Outlet_Type_Grocery Store                   0.009036             -0.002625   \n",
       "Outlet_Type_Supermarket Type3               0.004637             -0.022054   \n",
       "\n",
       "                                 Item_Type_Fruits and Vegetables  ...  \\\n",
       "Item_Weight                                             0.032474  ...   \n",
       "Item_Visibility                                         0.018969  ...   \n",
       "Item_MRP                                                0.023688  ...   \n",
       "Outlet_Establishment_Year                              -0.005495  ...   \n",
       "Item_Outlet_Sales                                       0.025950  ...   \n",
       "Item_Fat_Content_Low Fat                               -0.105859  ...   \n",
       "Item_Fat_Content_Regular                                0.112353  ...   \n",
       "Item_Fat_Content_LF                                    -0.011792  ...   \n",
       "Item_Fat_Content_reg                                    0.023191  ...   \n",
       "Item_Type_Fruits and Vegetables                         1.000000  ...   \n",
       "Item_Type_Snack Foods                                  -0.166402  ...   \n",
       "Item_Type_Household                                    -0.142120  ...   \n",
       "Item_Type_Frozen Foods                                 -0.137352  ...   \n",
       "Item_Type_Dairy                                        -0.121232  ...   \n",
       "Item_Type_Canned                                       -0.118015  ...   \n",
       "Item_Type_Baking Goods                                 -0.117916  ...   \n",
       "Item_Type_Health and Hygiene                           -0.104782  ...   \n",
       "Item_Type_Soft Drinks                                  -0.096481  ...   \n",
       "Item_Type_Meat                                         -0.094171  ...   \n",
       "Item_Type_Breads                                       -0.071605  ...   \n",
       "Item_Type_Hard Drinks                                  -0.065970  ...   \n",
       "Item_Type_Others                                       -0.058467  ...   \n",
       "Item_Type_Starchy Foods                                -0.054645  ...   \n",
       "Item_Type_Breakfast                                    -0.047004  ...   \n",
       "Outlet_Identifier_OUT027                                0.005173  ...   \n",
       "Outlet_Identifier_OUT013                                0.007783  ...   \n",
       "Outlet_Identifier_OUT046                               -0.009023  ...   \n",
       "Outlet_Identifier_OUT049                                0.003819  ...   \n",
       "Outlet_Identifier_OUT035                               -0.005813  ...   \n",
       "Outlet_Identifier_OUT045                                0.009329  ...   \n",
       "Outlet_Identifier_OUT018                                0.000919  ...   \n",
       "Outlet_Identifier_OUT017                               -0.007348  ...   \n",
       "Outlet_Identifier_OUT010                               -0.001657  ...   \n",
       "Outlet_Size_Medium                                      0.006591  ...   \n",
       "Outlet_Size_Small                                      -0.012768  ...   \n",
       "Outlet_Location_Type_Tier 3                             0.008032  ...   \n",
       "Outlet_Location_Type_Tier 2                            -0.002541  ...   \n",
       "Outlet_Type_Supermarket Type1                          -0.000811  ...   \n",
       "Outlet_Type_Grocery Store                              -0.004556  ...   \n",
       "Outlet_Type_Supermarket Type3                           0.005173  ...   \n",
       "\n",
       "                                 Outlet_Identifier_OUT018  \\\n",
       "Item_Weight                                      0.001315   \n",
       "Item_Visibility                                 -0.034671   \n",
       "Item_MRP                                         0.003850   \n",
       "Outlet_Establishment_Year                        0.466336   \n",
       "Item_Outlet_Sales                               -0.038059   \n",
       "Item_Fat_Content_Low Fat                        -0.005452   \n",
       "Item_Fat_Content_Regular                        -0.002037   \n",
       "Item_Fat_Content_LF                              0.015137   \n",
       "Item_Fat_Content_reg                             0.017030   \n",
       "Item_Type_Fruits and Vegetables                  0.000919   \n",
       "Item_Type_Snack Foods                            0.001453   \n",
       "Item_Type_Household                             -0.004979   \n",
       "Item_Type_Frozen Foods                          -0.001507   \n",
       "Item_Type_Dairy                                 -0.001746   \n",
       "Item_Type_Canned                                 0.010418   \n",
       "Item_Type_Baking Goods                          -0.003632   \n",
       "Item_Type_Health and Hygiene                     0.002174   \n",
       "Item_Type_Soft Drinks                           -0.004153   \n",
       "Item_Type_Meat                                  -0.000476   \n",
       "Item_Type_Breads                                -0.000734   \n",
       "Item_Type_Hard Drinks                           -0.003132   \n",
       "Item_Type_Others                                 0.004320   \n",
       "Item_Type_Starchy Foods                          0.002553   \n",
       "Item_Type_Breakfast                              0.000077   \n",
       "Outlet_Identifier_OUT027                        -0.122702   \n",
       "Outlet_Identifier_OUT013                        -0.122481   \n",
       "Outlet_Identifier_OUT046                        -0.122333   \n",
       "Outlet_Identifier_OUT049                        -0.122333   \n",
       "Outlet_Identifier_OUT035                        -0.122333   \n",
       "Outlet_Identifier_OUT045                        -0.122260   \n",
       "Outlet_Identifier_OUT018                         1.000000   \n",
       "Outlet_Identifier_OUT017                        -0.122038   \n",
       "Outlet_Identifier_OUT010                        -0.092253   \n",
       "Outlet_Size_Medium                               0.500670   \n",
       "Outlet_Size_Small                               -0.218082   \n",
       "Outlet_Location_Type_Tier 3                      0.434369   \n",
       "Outlet_Location_Type_Tier 2                     -0.243524   \n",
       "Outlet_Type_Supermarket Type1                   -0.480943   \n",
       "Outlet_Type_Grocery Store                       -0.133364   \n",
       "Outlet_Type_Supermarket Type3                   -0.122702   \n",
       "\n",
       "                                 Outlet_Identifier_OUT017  \\\n",
       "Item_Weight                                     -0.002592   \n",
       "Item_Visibility                                 -0.032179   \n",
       "Item_MRP                                        -0.008812   \n",
       "Outlet_Establishment_Year                        0.382361   \n",
       "Item_Outlet_Sales                                0.032610   \n",
       "Item_Fat_Content_Low Fat                        -0.002233   \n",
       "Item_Fat_Content_Regular                         0.002484   \n",
       "Item_Fat_Content_LF                             -0.006650   \n",
       "Item_Fat_Content_reg                             0.007415   \n",
       "Item_Type_Fruits and Vegetables                 -0.007348   \n",
       "Item_Type_Snack Foods                           -0.002576   \n",
       "Item_Type_Household                             -0.004723   \n",
       "Item_Type_Frozen Foods                           0.016304   \n",
       "Item_Type_Dairy                                 -0.000135   \n",
       "Item_Type_Canned                                -0.002149   \n",
       "Item_Type_Baking Goods                           0.003694   \n",
       "Item_Type_Health and Hygiene                     0.007094   \n",
       "Item_Type_Soft Drinks                            0.009579   \n",
       "Item_Type_Meat                                  -0.003767   \n",
       "Item_Type_Breads                                -0.011754   \n",
       "Item_Type_Hard Drinks                           -0.003013   \n",
       "Item_Type_Others                                -0.006386   \n",
       "Item_Type_Starchy Foods                          0.005542   \n",
       "Item_Type_Breakfast                              0.000163   \n",
       "Outlet_Identifier_OUT027                        -0.122554   \n",
       "Outlet_Identifier_OUT013                        -0.122333   \n",
       "Outlet_Identifier_OUT046                        -0.122185   \n",
       "Outlet_Identifier_OUT049                        -0.122185   \n",
       "Outlet_Identifier_OUT035                        -0.122185   \n",
       "Outlet_Identifier_OUT045                        -0.122112   \n",
       "Outlet_Identifier_OUT018                        -0.122038   \n",
       "Outlet_Identifier_OUT017                         1.000000   \n",
       "Outlet_Identifier_OUT010                        -0.092142   \n",
       "Outlet_Size_Medium                              -0.243749   \n",
       "Outlet_Size_Small                               -0.217818   \n",
       "Outlet_Location_Type_Tier 3                     -0.280954   \n",
       "Outlet_Location_Type_Tier 2                      0.501132   \n",
       "Outlet_Type_Supermarket Type1                    0.253747   \n",
       "Outlet_Type_Grocery Store                       -0.133202   \n",
       "Outlet_Type_Supermarket Type3                   -0.122554   \n",
       "\n",
       "                                 Outlet_Identifier_OUT010  Outlet_Size_Medium  \\\n",
       "Item_Weight                                      0.003492            0.004862   \n",
       "Item_Visibility                                  0.180697           -0.081061   \n",
       "Item_MRP                                        -0.000912           -0.004510   \n",
       "Outlet_Establishment_Year                        0.005301           -0.016346   \n",
       "Item_Outlet_Sales                               -0.284883            0.204701   \n",
       "Item_Fat_Content_Low Fat                        -0.003282           -0.003910   \n",
       "Item_Fat_Content_Regular                        -0.001131            0.002783   \n",
       "Item_Fat_Content_LF                              0.013648            0.001913   \n",
       "Item_Fat_Content_reg                             0.005645            0.007860   \n",
       "Item_Type_Fruits and Vegetables                 -0.001657            0.006591   \n",
       "Item_Type_Snack Foods                           -0.009764            0.010607   \n",
       "Item_Type_Household                              0.011922           -0.007454   \n",
       "Item_Type_Frozen Foods                          -0.002754           -0.005416   \n",
       "Item_Type_Dairy                                 -0.002472           -0.005060   \n",
       "Item_Type_Canned                                -0.013019            0.004073   \n",
       "Item_Type_Baking Goods                          -0.000352           -0.008819   \n",
       "Item_Type_Health and Hygiene                     0.006236           -0.000423   \n",
       "Item_Type_Soft Drinks                           -0.002090           -0.009919   \n",
       "Item_Type_Meat                                   0.013818            0.011170   \n",
       "Item_Type_Breads                                 0.001843            0.001104   \n",
       "Item_Type_Hard Drinks                            0.006276            0.007784   \n",
       "Item_Type_Others                                -0.003428           -0.006063   \n",
       "Item_Type_Starchy Foods                         -0.002321           -0.000956   \n",
       "Item_Type_Breakfast                              0.007740           -0.000104   \n",
       "Outlet_Identifier_OUT027                        -0.092643            0.502787   \n",
       "Outlet_Identifier_OUT013                        -0.092476           -0.244634   \n",
       "Outlet_Identifier_OUT046                        -0.092365           -0.244339   \n",
       "Outlet_Identifier_OUT049                        -0.092365            0.501276   \n",
       "Outlet_Identifier_OUT035                        -0.092365           -0.244339   \n",
       "Outlet_Identifier_OUT045                        -0.092309           -0.244192   \n",
       "Outlet_Identifier_OUT018                        -0.092253            0.500670   \n",
       "Outlet_Identifier_OUT017                        -0.092142           -0.243749   \n",
       "Outlet_Identifier_OUT010                         1.000000           -0.184260   \n",
       "Outlet_Size_Medium                              -0.184260            1.000000   \n",
       "Outlet_Size_Small                               -0.164658           -0.435580   \n",
       "Outlet_Location_Type_Tier 3                      0.327960            0.391617   \n",
       "Outlet_Location_Type_Tier 2                     -0.183867           -0.486397   \n",
       "Outlet_Type_Supermarket Type1                   -0.363125           -0.471782   \n",
       "Outlet_Type_Grocery Store                        0.691742           -0.266370   \n",
       "Outlet_Type_Supermarket Type3                   -0.092643            0.502787   \n",
       "\n",
       "                                 Outlet_Size_Small  \\\n",
       "Item_Weight                              -0.001233   \n",
       "Item_Visibility                           0.063502   \n",
       "Item_MRP                                  0.009793   \n",
       "Outlet_Establishment_Year                -0.056567   \n",
       "Item_Outlet_Sales                        -0.098403   \n",
       "Item_Fat_Content_Low Fat                 -0.000454   \n",
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       "Item_Type_Fruits and Vegetables          -0.012768   \n",
       "Item_Type_Snack Foods                    -0.000916   \n",
       "Item_Type_Household                       0.001720   \n",
       "Item_Type_Frozen Foods                    0.007965   \n",
       "Item_Type_Dairy                           0.006659   \n",
       "Item_Type_Canned                          0.007054   \n",
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       "Item_Type_Health and Hygiene             -0.010583   \n",
       "Item_Type_Soft Drinks                     0.001549   \n",
       "Item_Type_Meat                           -0.000093   \n",
       "Item_Type_Breads                          0.001042   \n",
       "Item_Type_Hard Drinks                    -0.016631   \n",
       "Item_Type_Others                          0.014335   \n",
       "Item_Type_Starchy Foods                  -0.006934   \n",
       "Item_Type_Breakfast                      -0.001898   \n",
       "Outlet_Identifier_OUT027                 -0.219004   \n",
       "Outlet_Identifier_OUT013                 -0.218609   \n",
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       "Outlet_Size_Medium                       -0.435580   \n",
       "Outlet_Size_Small                         1.000000   \n",
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       "Outlet_Type_Supermarket Type1             0.163388   \n",
       "Outlet_Type_Grocery Store                 0.176158   \n",
       "Outlet_Type_Supermarket Type3            -0.219004   \n",
       "\n",
       "                                 Outlet_Location_Type_Tier 3  \\\n",
       "Item_Weight                                         0.011818   \n",
       "Item_Visibility                                     0.009650   \n",
       "Item_MRP                                           -0.000744   \n",
       "Outlet_Establishment_Year                          -0.333895   \n",
       "Item_Outlet_Sales                                   0.046376   \n",
       "Item_Fat_Content_Low Fat                           -0.007960   \n",
       "Item_Fat_Content_Regular                            0.000237   \n",
       "Item_Fat_Content_LF                                 0.016267   \n",
       "Item_Fat_Content_reg                                0.000026   \n",
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       "Item_Type_Snack Foods                              -0.004603   \n",
       "Item_Type_Household                                 0.004917   \n",
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       "Item_Type_Dairy                                    -0.004482   \n",
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       "Item_Type_Baking Goods                             -0.002446   \n",
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       "Item_Type_Soft Drinks                              -0.007461   \n",
       "Item_Type_Meat                                      0.010983   \n",
       "Item_Type_Breads                                    0.001909   \n",
       "Item_Type_Hard Drinks                              -0.000174   \n",
       "Item_Type_Others                                   -0.009350   \n",
       "Item_Type_Starchy Foods                             0.001523   \n",
       "Item_Type_Breakfast                                 0.003754   \n",
       "Outlet_Identifier_OUT027                            0.436205   \n",
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       "Outlet_Identifier_OUT046                           -0.281635   \n",
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       "Outlet_Identifier_OUT045                           -0.281465   \n",
       "Outlet_Identifier_OUT018                            0.434369   \n",
       "Outlet_Identifier_OUT017                           -0.280954   \n",
       "Outlet_Identifier_OUT010                            0.327960   \n",
       "Outlet_Size_Medium                                  0.391617   \n",
       "Outlet_Size_Small                                  -0.502066   \n",
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       "Outlet_Type_Grocery Store                           0.093276   \n",
       "Outlet_Type_Supermarket Type3                       0.436205   \n",
       "\n",
       "                                 Outlet_Location_Type_Tier 2  \\\n",
       "Item_Weight                                        -0.015474   \n",
       "Item_Visibility                                    -0.068787   \n",
       "Item_MRP                                            0.001951   \n",
       "Outlet_Establishment_Year                           0.540820   \n",
       "Item_Outlet_Sales                                   0.058261   \n",
       "Item_Fat_Content_Low Fat                            0.008213   \n",
       "Item_Fat_Content_Regular                           -0.002123   \n",
       "Item_Fat_Content_LF                                -0.010932   \n",
       "Item_Fat_Content_reg                               -0.004797   \n",
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       "Item_Type_Household                                -0.001097   \n",
       "Item_Type_Frozen Foods                             -0.000590   \n",
       "Item_Type_Dairy                                    -0.008162   \n",
       "Item_Type_Canned                                    0.009366   \n",
       "Item_Type_Baking Goods                             -0.000701   \n",
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       "Item_Type_Soft Drinks                               0.013034   \n",
       "Item_Type_Meat                                     -0.015945   \n",
       "Item_Type_Breads                                    0.002933   \n",
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       "Item_Type_Others                                   -0.005783   \n",
       "Item_Type_Starchy Foods                             0.008884   \n",
       "Item_Type_Breakfast                                -0.008741   \n",
       "Outlet_Identifier_OUT027                           -0.244554   \n",
       "Outlet_Identifier_OUT013                           -0.244113   \n",
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       "Outlet_Identifier_OUT010                           -0.183867   \n",
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       "Outlet_Size_Small                                   0.083381   \n",
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       "Outlet_Type_Supermarket Type3                      -0.244554   \n",
       "\n",
       "                                 Outlet_Type_Supermarket Type1  \\\n",
       "Item_Weight                                          -0.003398   \n",
       "Item_Visibility                                      -0.144249   \n",
       "Item_MRP                                              0.004885   \n",
       "Outlet_Establishment_Year                             0.245070   \n",
       "Item_Outlet_Sales                                     0.108765   \n",
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       "Item_Type_Meat                                       -0.023912   \n",
       "Item_Type_Breads                                     -0.006189   \n",
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       "Item_Type_Breakfast                                  -0.008695   \n",
       "Outlet_Identifier_OUT027                             -0.482977   \n",
       "Outlet_Identifier_OUT013                              0.254668   \n",
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       "Outlet_Size_Medium                                   -0.471782   \n",
       "Outlet_Size_Small                                     0.163388   \n",
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       "\n",
       "                                 Outlet_Type_Grocery Store  \\\n",
       "Item_Weight                                       0.003492   \n",
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       "Item_MRP                                         -0.004277   \n",
       "Outlet_Establishment_Year                        -0.281196   \n",
       "Item_Outlet_Sales                                -0.411727   \n",
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       "Item_Fat_Content_reg                             -0.002625   \n",
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       "Outlet_Identifier_OUT049                         -0.133525   \n",
       "Outlet_Identifier_OUT035                         -0.133525   \n",
       "Outlet_Identifier_OUT045                         -0.133444   \n",
       "Outlet_Identifier_OUT018                         -0.133364   \n",
       "Outlet_Identifier_OUT017                         -0.133202   \n",
       "Outlet_Identifier_OUT010                          0.691742   \n",
       "Outlet_Size_Medium                               -0.266370   \n",
       "Outlet_Size_Small                                 0.176158   \n",
       "Outlet_Location_Type_Tier 3                       0.093276   \n",
       "Outlet_Location_Type_Tier 2                      -0.265803   \n",
       "Outlet_Type_Supermarket Type1                    -0.524942   \n",
       "Outlet_Type_Grocery Store                         1.000000   \n",
       "Outlet_Type_Supermarket Type3                    -0.133928   \n",
       "\n",
       "                                 Outlet_Type_Supermarket Type3  \n",
       "Item_Weight                                                NaN  \n",
       "Item_Visibility                                      -0.051144  \n",
       "Item_MRP                                             -0.006714  \n",
       "Outlet_Establishment_Year                            -0.538072  \n",
       "Item_Outlet_Sales                                     0.311192  \n",
       "Item_Fat_Content_Low Fat                             -0.004041  \n",
       "Item_Fat_Content_Regular                              0.005605  \n",
       "Item_Fat_Content_LF                                   0.004637  \n",
       "Item_Fat_Content_reg                                 -0.022054  \n",
       "Item_Type_Fruits and Vegetables                       0.005173  \n",
       "Item_Type_Snack Foods                                 0.005782  \n",
       "Item_Type_Household                                  -0.001009  \n",
       "Item_Type_Frozen Foods                               -0.006128  \n",
       "Item_Type_Dairy                                      -0.010817  \n",
       "Item_Type_Canned                                      0.001136  \n",
       "Item_Type_Baking Goods                               -0.002957  \n",
       "Item_Type_Health and Hygiene                          0.004634  \n",
       "Item_Type_Soft Drinks                                -0.006443  \n",
       "Item_Type_Meat                                        0.016172  \n",
       "Item_Type_Breads                                      0.007693  \n",
       "Item_Type_Hard Drinks                                -0.001143  \n",
       "Item_Type_Others                                     -0.009533  \n",
       "Item_Type_Starchy Foods                              -0.006427  \n",
       "Item_Type_Breakfast                                  -0.003550  \n",
       "Outlet_Identifier_OUT027                              1.000000  \n",
       "Outlet_Identifier_OUT013                             -0.122999  \n",
       "Outlet_Identifier_OUT046                             -0.122850  \n",
       "Outlet_Identifier_OUT049                             -0.122850  \n",
       "Outlet_Identifier_OUT035                             -0.122850  \n",
       "Outlet_Identifier_OUT045                             -0.122776  \n",
       "Outlet_Identifier_OUT018                             -0.122702  \n",
       "Outlet_Identifier_OUT017                             -0.122554  \n",
       "Outlet_Identifier_OUT010                             -0.092643  \n",
       "Outlet_Size_Medium                                    0.502787  \n",
       "Outlet_Size_Small                                    -0.219004  \n",
       "Outlet_Location_Type_Tier 3                           0.436205  \n",
       "Outlet_Location_Type_Tier 2                          -0.244554  \n",
       "Outlet_Type_Supermarket Type1                        -0.482977  \n",
       "Outlet_Type_Grocery Store                            -0.133928  \n",
       "Outlet_Type_Supermarket Type3                         1.000000  \n",
       "\n",
       "[40 rows x 40 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.857645184136183"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Item_Weight'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 40)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<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",
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       "      <th>...</th>\n",
       "      <th>Outlet_Identifier_OUT018</th>\n",
       "      <th>Outlet_Identifier_OUT017</th>\n",
       "      <th>Outlet_Identifier_OUT010</th>\n",
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       "      <th>Outlet_Size_Small</th>\n",
       "      <th>Outlet_Location_Type_Tier 3</th>\n",
       "      <th>Outlet_Location_Type_Tier 2</th>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <td>8504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.124111</td>\n",
       "      <td>111.7544</td>\n",
       "      <td>1985</td>\n",
       "      <td>4138.6128</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1463 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Item_Weight  Item_Visibility  Item_MRP  Outlet_Establishment_Year  \\\n",
       "7             NaN         0.127470  107.7622                       1985   \n",
       "18            NaN         0.034238  113.2834                       1985   \n",
       "21            NaN         0.035400  144.5444                       1985   \n",
       "23            NaN         0.057557  107.6938                       1985   \n",
       "29            NaN         0.072222   43.6454                       1985   \n",
       "...           ...              ...       ...                        ...   \n",
       "8485          NaN         0.043792  189.0530                       1985   \n",
       "8487          NaN         0.037006  164.7526                       1985   \n",
       "8488          NaN         0.091473  184.6608                       1985   \n",
       "8490          NaN         0.102296  162.3552                       1985   \n",
       "8504          NaN         0.124111  111.7544                       1985   \n",
       "\n",
       "      Item_Outlet_Sales  Item_Fat_Content_Low Fat  Item_Fat_Content_Regular  \\\n",
       "7             4022.7636                         1                         0   \n",
       "18            2303.6680                         1                         0   \n",
       "21            4064.0432                         0                         1   \n",
       "23             214.3876                         1                         0   \n",
       "29             125.8362                         0                         1   \n",
       "...                 ...                       ...                       ...   \n",
       "8485          6261.8490                         1                         0   \n",
       "8487          4111.3150                         1                         0   \n",
       "8488          2756.4120                         1                         0   \n",
       "8490           487.3656                         0                         1   \n",
       "8504          4138.6128                         1                         0   \n",
       "\n",
       "      Item_Fat_Content_LF  Item_Fat_Content_reg  \\\n",
       "7                       0                     0   \n",
       "18                      0                     0   \n",
       "21                      0                     0   \n",
       "23                      0                     0   \n",
       "29                      0                     0   \n",
       "...                   ...                   ...   \n",
       "8485                    0                     0   \n",
       "8487                    0                     0   \n",
       "8488                    0                     0   \n",
       "8490                    0                     0   \n",
       "8504                    0                     0   \n",
       "\n",
       "      Item_Type_Fruits and Vegetables  ...  Outlet_Identifier_OUT018  \\\n",
       "7                                   0  ...                         0   \n",
       "18                                  0  ...                         0   \n",
       "21                                  0  ...                         0   \n",
       "23                                  0  ...                         0   \n",
       "29                                  0  ...                         0   \n",
       "...                               ...  ...                       ...   \n",
       "8485                                0  ...                         0   \n",
       "8487                                0  ...                         0   \n",
       "8488                                0  ...                         0   \n",
       "8490                                1  ...                         0   \n",
       "8504                                0  ...                         0   \n",
       "\n",
       "      Outlet_Identifier_OUT017  Outlet_Identifier_OUT010  Outlet_Size_Medium  \\\n",
       "7                            0                         0                   1   \n",
       "18                           0                         0                   1   \n",
       "21                           0                         0                   1   \n",
       "23                           0                         0                   0   \n",
       "29                           0                         0                   0   \n",
       "...                        ...                       ...                 ...   \n",
       "8485                         0                         0                   1   \n",
       "8487                         0                         0                   1   \n",
       "8488                         0                         0                   1   \n",
       "8490                         0                         0                   0   \n",
       "8504                         0                         0                   1   \n",
       "\n",
       "      Outlet_Size_Small  Outlet_Location_Type_Tier 3  \\\n",
       "7                     0                            1   \n",
       "18                    0                            1   \n",
       "21                    0                            1   \n",
       "23                    1                            0   \n",
       "29                    1                            0   \n",
       "...                 ...                          ...   \n",
       "8485                  0                            1   \n",
       "8487                  0                            1   \n",
       "8488                  0                            1   \n",
       "8490                  1                            0   \n",
       "8504                  0                            1   \n",
       "\n",
       "      Outlet_Location_Type_Tier 2  Outlet_Type_Supermarket Type1  \\\n",
       "7                               0                              0   \n",
       "18                              0                              0   \n",
       "21                              0                              0   \n",
       "23                              0                              0   \n",
       "29                              0                              0   \n",
       "...                           ...                            ...   \n",
       "8485                            0                              0   \n",
       "8487                            0                              0   \n",
       "8488                            0                              0   \n",
       "8490                            0                              0   \n",
       "8504                            0                              0   \n",
       "\n",
       "      Outlet_Type_Grocery Store  Outlet_Type_Supermarket Type3  \n",
       "7                             0                              1  \n",
       "18                            0                              1  \n",
       "21                            0                              1  \n",
       "23                            1                              0  \n",
       "29                            1                              0  \n",
       "...                         ...                            ...  \n",
       "8485                          0                              1  \n",
       "8487                          0                              1  \n",
       "8488                          0                              1  \n",
       "8490                          1                              0  \n",
       "8504                          0                              1  \n",
       "\n",
       "[1463 rows x 40 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Item_Weight'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7060"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Item_Weight'].replace('NaN',df['Item_Weight'].mean()).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Item_Weight']=df['Item_Weight'].replace(np.NaN,df['Item_Weight'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Item_Weight                        0\n",
       "Item_Visibility                    0\n",
       "Item_MRP                           0\n",
       "Outlet_Establishment_Year          0\n",
       "Item_Outlet_Sales                  0\n",
       "Item_Fat_Content_Low Fat           0\n",
       "Item_Fat_Content_Regular           0\n",
       "Item_Fat_Content_LF                0\n",
       "Item_Fat_Content_reg               0\n",
       "Item_Type_Fruits and Vegetables    0\n",
       "Item_Type_Snack Foods              0\n",
       "Item_Type_Household                0\n",
       "Item_Type_Frozen Foods             0\n",
       "Item_Type_Dairy                    0\n",
       "Item_Type_Canned                   0\n",
       "Item_Type_Baking Goods             0\n",
       "Item_Type_Health and Hygiene       0\n",
       "Item_Type_Soft Drinks              0\n",
       "Item_Type_Meat                     0\n",
       "Item_Type_Breads                   0\n",
       "Item_Type_Hard Drinks              0\n",
       "Item_Type_Others                   0\n",
       "Item_Type_Starchy Foods            0\n",
       "Item_Type_Breakfast                0\n",
       "Outlet_Identifier_OUT027           0\n",
       "Outlet_Identifier_OUT013           0\n",
       "Outlet_Identifier_OUT046           0\n",
       "Outlet_Identifier_OUT049           0\n",
       "Outlet_Identifier_OUT035           0\n",
       "Outlet_Identifier_OUT045           0\n",
       "Outlet_Identifier_OUT018           0\n",
       "Outlet_Identifier_OUT017           0\n",
       "Outlet_Identifier_OUT010           0\n",
       "Outlet_Size_Medium                 0\n",
       "Outlet_Size_Small                  0\n",
       "Outlet_Location_Type_Tier 3        0\n",
       "Outlet_Location_Type_Tier 2        0\n",
       "Outlet_Type_Supermarket Type1      0\n",
       "Outlet_Type_Grocery Store          0\n",
       "Outlet_Type_Supermarket Type3      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<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",
       "      <th>Item_Fat_Content_Low Fat</th>\n",
       "      <th>Item_Fat_Content_Regular</th>\n",
       "      <th>Item_Fat_Content_LF</th>\n",
       "      <th>Item_Fat_Content_reg</th>\n",
       "      <th>Item_Type_Fruits and Vegetables</th>\n",
       "      <th>...</th>\n",
       "      <th>Outlet_Identifier_OUT018</th>\n",
       "      <th>Outlet_Identifier_OUT017</th>\n",
       "      <th>Outlet_Identifier_OUT010</th>\n",
       "      <th>Outlet_Size_Medium</th>\n",
       "      <th>Outlet_Size_Small</th>\n",
       "      <th>Outlet_Location_Type_Tier 3</th>\n",
       "      <th>Outlet_Location_Type_Tier 2</th>\n",
       "      <th>Outlet_Type_Supermarket Type1</th>\n",
       "      <th>Outlet_Type_Grocery Store</th>\n",
       "      <th>Outlet_Type_Supermarket Type3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>9.30</td>\n",
       "      <td>0.016047</td>\n",
       "      <td>249.8092</td>\n",
       "      <td>1999</td>\n",
       "      <td>3735.1380</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>5.92</td>\n",
       "      <td>0.019278</td>\n",
       "      <td>48.2692</td>\n",
       "      <td>2009</td>\n",
       "      <td>443.4228</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>17.50</td>\n",
       "      <td>0.016760</td>\n",
       "      <td>141.6180</td>\n",
       "      <td>1999</td>\n",
       "      <td>2097.2700</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>19.20</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>182.0950</td>\n",
       "      <td>1998</td>\n",
       "      <td>732.3800</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>8.93</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>53.8614</td>\n",
       "      <td>1987</td>\n",
       "      <td>994.7052</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Item_Weight  Item_Visibility  Item_MRP  Outlet_Establishment_Year  \\\n",
       "0         9.30         0.016047  249.8092                       1999   \n",
       "1         5.92         0.019278   48.2692                       2009   \n",
       "2        17.50         0.016760  141.6180                       1999   \n",
       "3        19.20         0.000000  182.0950                       1998   \n",
       "4         8.93         0.000000   53.8614                       1987   \n",
       "\n",
       "   Item_Outlet_Sales  Item_Fat_Content_Low Fat  Item_Fat_Content_Regular  \\\n",
       "0          3735.1380                         1                         0   \n",
       "1           443.4228                         0                         1   \n",
       "2          2097.2700                         1                         0   \n",
       "3           732.3800                         0                         1   \n",
       "4           994.7052                         1                         0   \n",
       "\n",
       "   Item_Fat_Content_LF  Item_Fat_Content_reg  Item_Type_Fruits and Vegetables  \\\n",
       "0                    0                     0                                0   \n",
       "1                    0                     0                                0   \n",
       "2                    0                     0                                0   \n",
       "3                    0                     0                                1   \n",
       "4                    0                     0                                0   \n",
       "\n",
       "   ...  Outlet_Identifier_OUT018  Outlet_Identifier_OUT017  \\\n",
       "0  ...                         0                         0   \n",
       "1  ...                         1                         0   \n",
       "2  ...                         0                         0   \n",
       "3  ...                         0                         0   \n",
       "4  ...                         0                         0   \n",
       "\n",
       "   Outlet_Identifier_OUT010  Outlet_Size_Medium  Outlet_Size_Small  \\\n",
       "0                         0                   1                  0   \n",
       "1                         0                   1                  0   \n",
       "2                         0                   1                  0   \n",
       "3                         1                   0                  0   \n",
       "4                         0                   0                  0   \n",
       "\n",
       "   Outlet_Location_Type_Tier 3  Outlet_Location_Type_Tier 2  \\\n",
       "0                            0                            0   \n",
       "1                            1                            0   \n",
       "2                            0                            0   \n",
       "3                            1                            0   \n",
       "4                            1                            0   \n",
       "\n",
       "   Outlet_Type_Supermarket Type1  Outlet_Type_Grocery Store  \\\n",
       "0                              1                          0   \n",
       "1                              0                          0   \n",
       "2                              1                          0   \n",
       "3                              0                          1   \n",
       "4                              1                          0   \n",
       "\n",
       "   Outlet_Type_Supermarket Type3  \n",
       "0                              0  \n",
       "1                              0  \n",
       "2                              0  \n",
       "3                              0  \n",
       "4                              0  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8523 entries, 0 to 8522\n",
      "Data columns (total 40 columns):\n",
      "Item_Weight                        8523 non-null float64\n",
      "Item_Visibility                    8523 non-null float64\n",
      "Item_MRP                           8523 non-null float64\n",
      "Outlet_Establishment_Year          8523 non-null int64\n",
      "Item_Outlet_Sales                  8523 non-null float64\n",
      "Item_Fat_Content_Low Fat           8523 non-null int32\n",
      "Item_Fat_Content_Regular           8523 non-null int32\n",
      "Item_Fat_Content_LF                8523 non-null int32\n",
      "Item_Fat_Content_reg               8523 non-null int32\n",
      "Item_Type_Fruits and Vegetables    8523 non-null int32\n",
      "Item_Type_Snack Foods              8523 non-null int32\n",
      "Item_Type_Household                8523 non-null int32\n",
      "Item_Type_Frozen Foods             8523 non-null int32\n",
      "Item_Type_Dairy                    8523 non-null int32\n",
      "Item_Type_Canned                   8523 non-null int32\n",
      "Item_Type_Baking Goods             8523 non-null int32\n",
      "Item_Type_Health and Hygiene       8523 non-null int32\n",
      "Item_Type_Soft Drinks              8523 non-null int32\n",
      "Item_Type_Meat                     8523 non-null int32\n",
      "Item_Type_Breads                   8523 non-null int32\n",
      "Item_Type_Hard Drinks              8523 non-null int32\n",
      "Item_Type_Others                   8523 non-null int32\n",
      "Item_Type_Starchy Foods            8523 non-null int32\n",
      "Item_Type_Breakfast                8523 non-null int32\n",
      "Outlet_Identifier_OUT027           8523 non-null int32\n",
      "Outlet_Identifier_OUT013           8523 non-null int32\n",
      "Outlet_Identifier_OUT046           8523 non-null int32\n",
      "Outlet_Identifier_OUT049           8523 non-null int32\n",
      "Outlet_Identifier_OUT035           8523 non-null int32\n",
      "Outlet_Identifier_OUT045           8523 non-null int32\n",
      "Outlet_Identifier_OUT018           8523 non-null int32\n",
      "Outlet_Identifier_OUT017           8523 non-null int32\n",
      "Outlet_Identifier_OUT010           8523 non-null int32\n",
      "Outlet_Size_Medium                 8523 non-null int32\n",
      "Outlet_Size_Small                  8523 non-null int32\n",
      "Outlet_Location_Type_Tier 3        8523 non-null int32\n",
      "Outlet_Location_Type_Tier 2        8523 non-null int32\n",
      "Outlet_Type_Supermarket Type1      8523 non-null int32\n",
      "Outlet_Type_Grocery Store          8523 non-null int32\n",
      "Outlet_Type_Supermarket Type3      8523 non-null int32\n",
      "dtypes: float64(4), int32(35), int64(1)\n",
      "memory usage: 1.5 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "      <th>Item_Fat_Content_Low Fat</th>\n",
       "      <th>Item_Fat_Content_Regular</th>\n",
       "      <th>Item_Fat_Content_LF</th>\n",
       "      <th>Item_Fat_Content_reg</th>\n",
       "      <th>Item_Type_Fruits and Vegetables</th>\n",
       "      <th>...</th>\n",
       "      <th>Outlet_Identifier_OUT018</th>\n",
       "      <th>Outlet_Identifier_OUT017</th>\n",
       "      <th>Outlet_Identifier_OUT010</th>\n",
       "      <th>Outlet_Size_Medium</th>\n",
       "      <th>Outlet_Size_Small</th>\n",
       "      <th>Outlet_Location_Type_Tier 3</th>\n",
       "      <th>Outlet_Location_Type_Tier 2</th>\n",
       "      <th>Outlet_Type_Supermarket Type1</th>\n",
       "      <th>Outlet_Type_Grocery Store</th>\n",
       "      <th>Outlet_Type_Supermarket Type3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Item_Weight</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>-0.012049</td>\n",
       "      <td>0.024756</td>\n",
       "      <td>-0.008301</td>\n",
       "      <td>0.011550</td>\n",
       "      <td>0.022808</td>\n",
       "      <td>-0.021263</td>\n",
       "      <td>-0.002080</td>\n",
       "      <td>-0.000379</td>\n",
       "      <td>0.029537</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001299</td>\n",
       "      <td>-0.002559</td>\n",
       "      <td>0.003467</td>\n",
       "      <td>0.004152</td>\n",
       "      <td>-0.001100</td>\n",
       "      <td>0.010447</td>\n",
       "      <td>-0.014675</td>\n",
       "      <td>-0.002649</td>\n",
       "      <td>0.002568</td>\n",
       "      <td>1.413048e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Visibility</td>\n",
       "      <td>-1.204853e-02</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.001315</td>\n",
       "      <td>-0.074834</td>\n",
       "      <td>-0.128625</td>\n",
       "      <td>-0.046386</td>\n",
       "      <td>0.047631</td>\n",
       "      <td>0.001885</td>\n",
       "      <td>0.000523</td>\n",
       "      <td>0.018969</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.034671</td>\n",
       "      <td>-0.032179</td>\n",
       "      <td>0.180697</td>\n",
       "      <td>-0.081061</td>\n",
       "      <td>0.063502</td>\n",
       "      <td>0.009650</td>\n",
       "      <td>-0.068787</td>\n",
       "      <td>-0.144249</td>\n",
       "      <td>0.286400</td>\n",
       "      <td>-5.114446e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_MRP</td>\n",
       "      <td>2.475610e-02</td>\n",
       "      <td>-0.001315</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005020</td>\n",
       "      <td>0.567574</td>\n",
       "      <td>-0.000466</td>\n",
       "      <td>0.008299</td>\n",
       "      <td>-0.006947</td>\n",
       "      <td>-0.008865</td>\n",
       "      <td>0.023688</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003850</td>\n",
       "      <td>-0.008812</td>\n",
       "      <td>-0.000912</td>\n",
       "      <td>-0.004510</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>-0.000744</td>\n",
       "      <td>0.001951</td>\n",
       "      <td>0.004885</td>\n",
       "      <td>-0.004277</td>\n",
       "      <td>-6.713699e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Establishment_Year</td>\n",
       "      <td>-8.300836e-03</td>\n",
       "      <td>-0.074834</td>\n",
       "      <td>0.005020</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.049135</td>\n",
       "      <td>0.002218</td>\n",
       "      <td>-0.002051</td>\n",
       "      <td>0.002458</td>\n",
       "      <td>0.021281</td>\n",
       "      <td>-0.005495</td>\n",
       "      <td>...</td>\n",
       "      <td>0.466336</td>\n",
       "      <td>0.382361</td>\n",
       "      <td>0.005301</td>\n",
       "      <td>-0.016346</td>\n",
       "      <td>-0.056567</td>\n",
       "      <td>-0.333895</td>\n",
       "      <td>0.540820</td>\n",
       "      <td>0.245070</td>\n",
       "      <td>-0.281196</td>\n",
       "      <td>-5.380723e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Outlet_Sales</td>\n",
       "      <td>1.155000e-02</td>\n",
       "      <td>-0.128625</td>\n",
       "      <td>0.567574</td>\n",
       "      <td>-0.049135</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.011993</td>\n",
       "      <td>0.022618</td>\n",
       "      <td>-0.012389</td>\n",
       "      <td>-0.015148</td>\n",
       "      <td>0.025950</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.038059</td>\n",
       "      <td>0.032610</td>\n",
       "      <td>-0.284883</td>\n",
       "      <td>0.204701</td>\n",
       "      <td>-0.098403</td>\n",
       "      <td>0.046376</td>\n",
       "      <td>0.058261</td>\n",
       "      <td>0.108765</td>\n",
       "      <td>-0.411727</td>\n",
       "      <td>3.111920e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_Low Fat</td>\n",
       "      <td>2.280804e-02</td>\n",
       "      <td>-0.046386</td>\n",
       "      <td>-0.000466</td>\n",
       "      <td>0.002218</td>\n",
       "      <td>-0.011993</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.871729</td>\n",
       "      <td>-0.238873</td>\n",
       "      <td>-0.143620</td>\n",
       "      <td>-0.105859</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.005452</td>\n",
       "      <td>-0.002233</td>\n",
       "      <td>-0.003282</td>\n",
       "      <td>-0.003910</td>\n",
       "      <td>-0.000454</td>\n",
       "      <td>-0.007960</td>\n",
       "      <td>0.008213</td>\n",
       "      <td>0.008565</td>\n",
       "      <td>-0.003339</td>\n",
       "      <td>-4.040993e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_Regular</td>\n",
       "      <td>-2.126293e-02</td>\n",
       "      <td>0.047631</td>\n",
       "      <td>0.008299</td>\n",
       "      <td>-0.002051</td>\n",
       "      <td>0.022618</td>\n",
       "      <td>-0.871729</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.140513</td>\n",
       "      <td>-0.084482</td>\n",
       "      <td>0.112353</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002037</td>\n",
       "      <td>0.002484</td>\n",
       "      <td>-0.001131</td>\n",
       "      <td>0.002783</td>\n",
       "      <td>0.000856</td>\n",
       "      <td>0.000237</td>\n",
       "      <td>-0.002123</td>\n",
       "      <td>-0.000734</td>\n",
       "      <td>-0.002307</td>\n",
       "      <td>5.605465e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_LF</td>\n",
       "      <td>-2.079641e-03</td>\n",
       "      <td>0.001885</td>\n",
       "      <td>-0.006947</td>\n",
       "      <td>0.002458</td>\n",
       "      <td>-0.012389</td>\n",
       "      <td>-0.238873</td>\n",
       "      <td>-0.140513</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.023150</td>\n",
       "      <td>-0.011792</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015137</td>\n",
       "      <td>-0.006650</td>\n",
       "      <td>0.013648</td>\n",
       "      <td>0.001913</td>\n",
       "      <td>0.010318</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>-0.010932</td>\n",
       "      <td>-0.019290</td>\n",
       "      <td>0.009036</td>\n",
       "      <td>4.637153e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Fat_Content_reg</td>\n",
       "      <td>-3.794890e-04</td>\n",
       "      <td>0.000523</td>\n",
       "      <td>-0.008865</td>\n",
       "      <td>0.021281</td>\n",
       "      <td>-0.015148</td>\n",
       "      <td>-0.143620</td>\n",
       "      <td>-0.084482</td>\n",
       "      <td>-0.023150</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017030</td>\n",
       "      <td>0.007415</td>\n",
       "      <td>0.005645</td>\n",
       "      <td>0.007860</td>\n",
       "      <td>-0.012981</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>0.005176</td>\n",
       "      <td>-0.002625</td>\n",
       "      <td>-2.205419e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Fruits and Vegetables</td>\n",
       "      <td>2.953735e-02</td>\n",
       "      <td>0.018969</td>\n",
       "      <td>0.023688</td>\n",
       "      <td>-0.005495</td>\n",
       "      <td>0.025950</td>\n",
       "      <td>-0.105859</td>\n",
       "      <td>0.112353</td>\n",
       "      <td>-0.011792</td>\n",
       "      <td>0.023191</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000919</td>\n",
       "      <td>-0.007348</td>\n",
       "      <td>-0.001657</td>\n",
       "      <td>0.006591</td>\n",
       "      <td>-0.012768</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>-0.002541</td>\n",
       "      <td>-0.000811</td>\n",
       "      <td>-0.004556</td>\n",
       "      <td>5.173467e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Snack Foods</td>\n",
       "      <td>1.027142e-02</td>\n",
       "      <td>0.005635</td>\n",
       "      <td>0.033817</td>\n",
       "      <td>0.002650</td>\n",
       "      <td>0.022782</td>\n",
       "      <td>-0.049181</td>\n",
       "      <td>0.055759</td>\n",
       "      <td>-0.024087</td>\n",
       "      <td>0.018922</td>\n",
       "      <td>-0.166402</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001453</td>\n",
       "      <td>-0.002576</td>\n",
       "      <td>-0.009764</td>\n",
       "      <td>0.010607</td>\n",
       "      <td>-0.000916</td>\n",
       "      <td>-0.004603</td>\n",
       "      <td>0.006390</td>\n",
       "      <td>-0.000154</td>\n",
       "      <td>-0.006565</td>\n",
       "      <td>5.781569e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Household</td>\n",
       "      <td>3.596767e-02</td>\n",
       "      <td>-0.032230</td>\n",
       "      <td>0.046815</td>\n",
       "      <td>-0.001951</td>\n",
       "      <td>0.015701</td>\n",
       "      <td>0.229783</td>\n",
       "      <td>-0.247576</td>\n",
       "      <td>0.040739</td>\n",
       "      <td>-0.040789</td>\n",
       "      <td>-0.142120</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004979</td>\n",
       "      <td>-0.004723</td>\n",
       "      <td>0.011922</td>\n",
       "      <td>-0.007454</td>\n",
       "      <td>0.001720</td>\n",
       "      <td>0.004917</td>\n",
       "      <td>-0.001097</td>\n",
       "      <td>0.001234</td>\n",
       "      <td>0.003842</td>\n",
       "      <td>-1.008871e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Frozen Foods</td>\n",
       "      <td>6.244951e-04</td>\n",
       "      <td>-0.003153</td>\n",
       "      <td>-0.013358</td>\n",
       "      <td>0.007690</td>\n",
       "      <td>-0.009482</td>\n",
       "      <td>-0.069325</td>\n",
       "      <td>0.079862</td>\n",
       "      <td>-0.020116</td>\n",
       "      <td>0.024319</td>\n",
       "      <td>-0.137352</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001507</td>\n",
       "      <td>0.016304</td>\n",
       "      <td>-0.002754</td>\n",
       "      <td>-0.005416</td>\n",
       "      <td>0.007965</td>\n",
       "      <td>-0.007556</td>\n",
       "      <td>-0.000590</td>\n",
       "      <td>0.009750</td>\n",
       "      <td>-0.006763</td>\n",
       "      <td>-6.127626e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Dairy</td>\n",
       "      <td>3.292259e-02</td>\n",
       "      <td>0.035984</td>\n",
       "      <td>0.035551</td>\n",
       "      <td>-0.005286</td>\n",
       "      <td>0.008858</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>0.024507</td>\n",
       "      <td>-0.002943</td>\n",
       "      <td>-0.012495</td>\n",
       "      <td>-0.121232</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.001746</td>\n",
       "      <td>-0.000135</td>\n",
       "      <td>-0.002472</td>\n",
       "      <td>-0.005060</td>\n",
       "      <td>0.006659</td>\n",
       "      <td>-0.004482</td>\n",
       "      <td>-0.008162</td>\n",
       "      <td>0.003396</td>\n",
       "      <td>0.006933</td>\n",
       "      <td>-1.081723e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Canned</td>\n",
       "      <td>-3.114182e-02</td>\n",
       "      <td>0.011114</td>\n",
       "      <td>-0.005666</td>\n",
       "      <td>0.010998</td>\n",
       "      <td>0.007387</td>\n",
       "      <td>-0.066300</td>\n",
       "      <td>0.071969</td>\n",
       "      <td>-0.016534</td>\n",
       "      <td>0.007949</td>\n",
       "      <td>-0.118015</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010418</td>\n",
       "      <td>-0.002149</td>\n",
       "      <td>-0.013019</td>\n",
       "      <td>0.004073</td>\n",
       "      <td>0.007054</td>\n",
       "      <td>-0.004612</td>\n",
       "      <td>0.009366</td>\n",
       "      <td>0.001236</td>\n",
       "      <td>-0.012574</td>\n",
       "      <td>1.136135e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Baking Goods</td>\n",
       "      <td>-3.259606e-02</td>\n",
       "      <td>0.016887</td>\n",
       "      <td>-0.067311</td>\n",
       "      <td>-0.003546</td>\n",
       "      <td>-0.038381</td>\n",
       "      <td>-0.077541</td>\n",
       "      <td>0.080754</td>\n",
       "      <td>-0.009431</td>\n",
       "      <td>0.015616</td>\n",
       "      <td>-0.117916</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003632</td>\n",
       "      <td>0.003694</td>\n",
       "      <td>-0.000352</td>\n",
       "      <td>-0.008819</td>\n",
       "      <td>0.005364</td>\n",
       "      <td>-0.002446</td>\n",
       "      <td>-0.000701</td>\n",
       "      <td>0.001846</td>\n",
       "      <td>0.003536</td>\n",
       "      <td>-2.957106e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Health and Hygiene</td>\n",
       "      <td>1.419919e-02</td>\n",
       "      <td>-0.053931</td>\n",
       "      <td>-0.041646</td>\n",
       "      <td>-0.002961</td>\n",
       "      <td>-0.025587</td>\n",
       "      <td>0.170414</td>\n",
       "      <td>-0.182533</td>\n",
       "      <td>0.025218</td>\n",
       "      <td>-0.030073</td>\n",
       "      <td>-0.104782</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002174</td>\n",
       "      <td>0.007094</td>\n",
       "      <td>0.006236</td>\n",
       "      <td>-0.000423</td>\n",
       "      <td>-0.010583</td>\n",
       "      <td>0.011654</td>\n",
       "      <td>-0.004093</td>\n",
       "      <td>-0.005422</td>\n",
       "      <td>0.001361</td>\n",
       "      <td>4.634023e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Soft Drinks</td>\n",
       "      <td>-4.715459e-02</td>\n",
       "      <td>-0.009825</td>\n",
       "      <td>-0.035808</td>\n",
       "      <td>0.007486</td>\n",
       "      <td>-0.024040</td>\n",
       "      <td>0.078817</td>\n",
       "      <td>-0.090075</td>\n",
       "      <td>0.032104</td>\n",
       "      <td>-0.023157</td>\n",
       "      <td>-0.096481</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.004153</td>\n",
       "      <td>0.009579</td>\n",
       "      <td>-0.002090</td>\n",
       "      <td>-0.009919</td>\n",
       "      <td>0.001549</td>\n",
       "      <td>-0.007461</td>\n",
       "      <td>0.013034</td>\n",
       "      <td>0.009777</td>\n",
       "      <td>-0.004031</td>\n",
       "      <td>-6.443416e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Meat</td>\n",
       "      <td>-1.732389e-03</td>\n",
       "      <td>-0.017087</td>\n",
       "      <td>-0.004086</td>\n",
       "      <td>-0.013428</td>\n",
       "      <td>-0.002995</td>\n",
       "      <td>-0.104144</td>\n",
       "      <td>0.118361</td>\n",
       "      <td>-0.016425</td>\n",
       "      <td>0.005401</td>\n",
       "      <td>-0.094171</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000476</td>\n",
       "      <td>-0.003767</td>\n",
       "      <td>0.013818</td>\n",
       "      <td>0.011170</td>\n",
       "      <td>-0.000093</td>\n",
       "      <td>0.010983</td>\n",
       "      <td>-0.015945</td>\n",
       "      <td>-0.023912</td>\n",
       "      <td>0.019416</td>\n",
       "      <td>1.617203e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Breads</td>\n",
       "      <td>-5.061184e-02</td>\n",
       "      <td>0.000416</td>\n",
       "      <td>-0.000112</td>\n",
       "      <td>-0.003631</td>\n",
       "      <td>0.002332</td>\n",
       "      <td>-0.033774</td>\n",
       "      <td>0.033603</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.002658</td>\n",
       "      <td>-0.071605</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000734</td>\n",
       "      <td>-0.011754</td>\n",
       "      <td>0.001843</td>\n",
       "      <td>0.001104</td>\n",
       "      <td>0.001042</td>\n",
       "      <td>0.001909</td>\n",
       "      <td>0.002933</td>\n",
       "      <td>-0.006189</td>\n",
       "      <td>0.002305</td>\n",
       "      <td>7.693473e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Hard Drinks</td>\n",
       "      <td>-4.732681e-02</td>\n",
       "      <td>-0.003700</td>\n",
       "      <td>-0.010089</td>\n",
       "      <td>0.006627</td>\n",
       "      <td>-0.003956</td>\n",
       "      <td>0.108896</td>\n",
       "      <td>-0.114921</td>\n",
       "      <td>0.000261</td>\n",
       "      <td>-0.018933</td>\n",
       "      <td>-0.065970</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003132</td>\n",
       "      <td>-0.003013</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.007784</td>\n",
       "      <td>-0.016631</td>\n",
       "      <td>-0.000174</td>\n",
       "      <td>0.003314</td>\n",
       "      <td>0.007837</td>\n",
       "      <td>-0.007189</td>\n",
       "      <td>-1.143358e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Others</td>\n",
       "      <td>2.716535e-02</td>\n",
       "      <td>-0.016240</td>\n",
       "      <td>-0.018595</td>\n",
       "      <td>-0.002874</td>\n",
       "      <td>-0.021267</td>\n",
       "      <td>0.094531</td>\n",
       "      <td>-0.101850</td>\n",
       "      <td>0.021087</td>\n",
       "      <td>-0.016780</td>\n",
       "      <td>-0.058467</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>-0.006386</td>\n",
       "      <td>-0.003428</td>\n",
       "      <td>-0.006063</td>\n",
       "      <td>0.014335</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.005783</td>\n",
       "      <td>-0.006344</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>-9.532685e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Starchy Foods</td>\n",
       "      <td>2.301935e-02</td>\n",
       "      <td>0.003688</td>\n",
       "      <td>0.014613</td>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.015039</td>\n",
       "      <td>-0.029977</td>\n",
       "      <td>0.016761</td>\n",
       "      <td>0.016699</td>\n",
       "      <td>0.038352</td>\n",
       "      <td>-0.054645</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002553</td>\n",
       "      <td>0.005542</td>\n",
       "      <td>-0.002321</td>\n",
       "      <td>-0.000956</td>\n",
       "      <td>-0.006934</td>\n",
       "      <td>0.001523</td>\n",
       "      <td>0.008884</td>\n",
       "      <td>0.013516</td>\n",
       "      <td>-0.015658</td>\n",
       "      <td>-6.426649e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Item_Type_Breakfast</td>\n",
       "      <td>-1.958157e-03</td>\n",
       "      <td>0.043418</td>\n",
       "      <td>0.001460</td>\n",
       "      <td>-0.006768</td>\n",
       "      <td>-0.004656</td>\n",
       "      <td>-0.056544</td>\n",
       "      <td>0.065253</td>\n",
       "      <td>-0.011434</td>\n",
       "      <td>0.004377</td>\n",
       "      <td>-0.047004</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000077</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>0.007740</td>\n",
       "      <td>-0.000104</td>\n",
       "      <td>-0.001898</td>\n",
       "      <td>0.003754</td>\n",
       "      <td>-0.008741</td>\n",
       "      <td>-0.008695</td>\n",
       "      <td>0.015676</td>\n",
       "      <td>-3.550234e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT027</td>\n",
       "      <td>1.413048e-14</td>\n",
       "      <td>-0.051144</td>\n",
       "      <td>-0.006714</td>\n",
       "      <td>-0.538072</td>\n",
       "      <td>0.311192</td>\n",
       "      <td>-0.004041</td>\n",
       "      <td>0.005605</td>\n",
       "      <td>0.004637</td>\n",
       "      <td>-0.022054</td>\n",
       "      <td>0.005173</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122702</td>\n",
       "      <td>-0.122554</td>\n",
       "      <td>-0.092643</td>\n",
       "      <td>0.502787</td>\n",
       "      <td>-0.219004</td>\n",
       "      <td>0.436205</td>\n",
       "      <td>-0.244554</td>\n",
       "      <td>-0.482977</td>\n",
       "      <td>-0.133928</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT013</td>\n",
       "      <td>1.231336e-02</td>\n",
       "      <td>-0.041937</td>\n",
       "      <td>0.002438</td>\n",
       "      <td>-0.453388</td>\n",
       "      <td>0.024170</td>\n",
       "      <td>-0.000374</td>\n",
       "      <td>-0.002316</td>\n",
       "      <td>-0.005084</td>\n",
       "      <td>0.000665</td>\n",
       "      <td>0.007783</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122481</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.092476</td>\n",
       "      <td>-0.244634</td>\n",
       "      <td>-0.218609</td>\n",
       "      <td>0.435419</td>\n",
       "      <td>-0.244113</td>\n",
       "      <td>0.254668</td>\n",
       "      <td>-0.133686</td>\n",
       "      <td>-1.229987e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT046</td>\n",
       "      <td>7.582609e-04</td>\n",
       "      <td>-0.038444</td>\n",
       "      <td>0.005983</td>\n",
       "      <td>-0.034777</td>\n",
       "      <td>0.019803</td>\n",
       "      <td>-0.002527</td>\n",
       "      <td>0.003786</td>\n",
       "      <td>0.009001</td>\n",
       "      <td>-0.002479</td>\n",
       "      <td>-0.009023</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.122185</td>\n",
       "      <td>-0.092365</td>\n",
       "      <td>-0.244339</td>\n",
       "      <td>0.560951</td>\n",
       "      <td>-0.281635</td>\n",
       "      <td>-0.243819</td>\n",
       "      <td>0.254361</td>\n",
       "      <td>-0.133525</td>\n",
       "      <td>-1.228505e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT049</td>\n",
       "      <td>4.952527e-03</td>\n",
       "      <td>-0.036130</td>\n",
       "      <td>-0.003906</td>\n",
       "      <td>0.048836</td>\n",
       "      <td>0.034264</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.000606</td>\n",
       "      <td>-0.016891</td>\n",
       "      <td>0.016925</td>\n",
       "      <td>0.003819</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.122185</td>\n",
       "      <td>-0.092365</td>\n",
       "      <td>0.501276</td>\n",
       "      <td>-0.218346</td>\n",
       "      <td>-0.281635</td>\n",
       "      <td>-0.243819</td>\n",
       "      <td>0.254361</td>\n",
       "      <td>-0.133525</td>\n",
       "      <td>-1.228505e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT035</td>\n",
       "      <td>-2.343359e-03</td>\n",
       "      <td>-0.033025</td>\n",
       "      <td>0.011969</td>\n",
       "      <td>0.257868</td>\n",
       "      <td>0.052823</td>\n",
       "      <td>0.002843</td>\n",
       "      <td>-0.000984</td>\n",
       "      <td>0.007009</td>\n",
       "      <td>-0.008948</td>\n",
       "      <td>-0.005813</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122333</td>\n",
       "      <td>-0.122185</td>\n",
       "      <td>-0.092365</td>\n",
       "      <td>-0.244339</td>\n",
       "      <td>0.560951</td>\n",
       "      <td>-0.281635</td>\n",
       "      <td>0.502345</td>\n",
       "      <td>0.254361</td>\n",
       "      <td>-0.133525</td>\n",
       "      <td>-1.228505e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT045</td>\n",
       "      <td>-1.718701e-02</td>\n",
       "      <td>-0.038353</td>\n",
       "      <td>-0.000239</td>\n",
       "      <td>0.174150</td>\n",
       "      <td>0.002274</td>\n",
       "      <td>0.011747</td>\n",
       "      <td>-0.004692</td>\n",
       "      <td>-0.016825</td>\n",
       "      <td>-0.005672</td>\n",
       "      <td>0.009329</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122260</td>\n",
       "      <td>-0.122112</td>\n",
       "      <td>-0.092309</td>\n",
       "      <td>-0.244192</td>\n",
       "      <td>-0.218214</td>\n",
       "      <td>-0.281465</td>\n",
       "      <td>0.502042</td>\n",
       "      <td>0.254208</td>\n",
       "      <td>-0.133444</td>\n",
       "      <td>-1.227763e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT018</td>\n",
       "      <td>1.298712e-03</td>\n",
       "      <td>-0.034671</td>\n",
       "      <td>0.003850</td>\n",
       "      <td>0.466336</td>\n",
       "      <td>-0.038059</td>\n",
       "      <td>-0.005452</td>\n",
       "      <td>-0.002037</td>\n",
       "      <td>0.015137</td>\n",
       "      <td>0.017030</td>\n",
       "      <td>0.000919</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.122038</td>\n",
       "      <td>-0.092253</td>\n",
       "      <td>0.500670</td>\n",
       "      <td>-0.218082</td>\n",
       "      <td>0.434369</td>\n",
       "      <td>-0.243524</td>\n",
       "      <td>-0.480943</td>\n",
       "      <td>-0.133364</td>\n",
       "      <td>-1.227022e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT017</td>\n",
       "      <td>-2.559193e-03</td>\n",
       "      <td>-0.032179</td>\n",
       "      <td>-0.008812</td>\n",
       "      <td>0.382361</td>\n",
       "      <td>0.032610</td>\n",
       "      <td>-0.002233</td>\n",
       "      <td>0.002484</td>\n",
       "      <td>-0.006650</td>\n",
       "      <td>0.007415</td>\n",
       "      <td>-0.007348</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122038</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.092142</td>\n",
       "      <td>-0.243749</td>\n",
       "      <td>-0.217818</td>\n",
       "      <td>-0.280954</td>\n",
       "      <td>0.501132</td>\n",
       "      <td>0.253747</td>\n",
       "      <td>-0.133202</td>\n",
       "      <td>-1.225537e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Identifier_OUT010</td>\n",
       "      <td>3.466654e-03</td>\n",
       "      <td>0.180697</td>\n",
       "      <td>-0.000912</td>\n",
       "      <td>0.005301</td>\n",
       "      <td>-0.284883</td>\n",
       "      <td>-0.003282</td>\n",
       "      <td>-0.001131</td>\n",
       "      <td>0.013648</td>\n",
       "      <td>0.005645</td>\n",
       "      <td>-0.001657</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.092253</td>\n",
       "      <td>-0.092142</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.184260</td>\n",
       "      <td>-0.164658</td>\n",
       "      <td>0.327960</td>\n",
       "      <td>-0.183867</td>\n",
       "      <td>-0.363125</td>\n",
       "      <td>0.691742</td>\n",
       "      <td>-9.264329e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Size_Medium</td>\n",
       "      <td>4.151608e-03</td>\n",
       "      <td>-0.081061</td>\n",
       "      <td>-0.004510</td>\n",
       "      <td>-0.016346</td>\n",
       "      <td>0.204701</td>\n",
       "      <td>-0.003910</td>\n",
       "      <td>0.002783</td>\n",
       "      <td>0.001913</td>\n",
       "      <td>0.007860</td>\n",
       "      <td>0.006591</td>\n",
       "      <td>...</td>\n",
       "      <td>0.500670</td>\n",
       "      <td>-0.243749</td>\n",
       "      <td>-0.184260</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.435580</td>\n",
       "      <td>0.391617</td>\n",
       "      <td>-0.486397</td>\n",
       "      <td>-0.471782</td>\n",
       "      <td>-0.266370</td>\n",
       "      <td>5.027869e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Size_Small</td>\n",
       "      <td>-1.100474e-03</td>\n",
       "      <td>0.063502</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>-0.056567</td>\n",
       "      <td>-0.098403</td>\n",
       "      <td>-0.000454</td>\n",
       "      <td>0.000856</td>\n",
       "      <td>0.010318</td>\n",
       "      <td>-0.012981</td>\n",
       "      <td>-0.012768</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.218082</td>\n",
       "      <td>-0.217818</td>\n",
       "      <td>-0.164658</td>\n",
       "      <td>-0.435580</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.502066</td>\n",
       "      <td>0.083381</td>\n",
       "      <td>0.163388</td>\n",
       "      <td>0.176158</td>\n",
       "      <td>-2.190040e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Location_Type_Tier 3</td>\n",
       "      <td>1.044702e-02</td>\n",
       "      <td>0.009650</td>\n",
       "      <td>-0.000744</td>\n",
       "      <td>-0.333895</td>\n",
       "      <td>0.046376</td>\n",
       "      <td>-0.007960</td>\n",
       "      <td>0.000237</td>\n",
       "      <td>0.016267</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>0.008032</td>\n",
       "      <td>...</td>\n",
       "      <td>0.434369</td>\n",
       "      <td>-0.280954</td>\n",
       "      <td>0.327960</td>\n",
       "      <td>0.391617</td>\n",
       "      <td>-0.502066</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.560639</td>\n",
       "      <td>-0.636465</td>\n",
       "      <td>0.093276</td>\n",
       "      <td>4.362053e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Location_Type_Tier 2</td>\n",
       "      <td>-1.467532e-02</td>\n",
       "      <td>-0.068787</td>\n",
       "      <td>0.001951</td>\n",
       "      <td>0.540820</td>\n",
       "      <td>0.058261</td>\n",
       "      <td>0.008213</td>\n",
       "      <td>-0.002123</td>\n",
       "      <td>-0.010932</td>\n",
       "      <td>-0.004797</td>\n",
       "      <td>-0.002541</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.243524</td>\n",
       "      <td>0.501132</td>\n",
       "      <td>-0.183867</td>\n",
       "      <td>-0.486397</td>\n",
       "      <td>0.083381</td>\n",
       "      <td>-0.560639</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.506347</td>\n",
       "      <td>-0.265803</td>\n",
       "      <td>-2.445538e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Type_Supermarket Type1</td>\n",
       "      <td>-2.649136e-03</td>\n",
       "      <td>-0.144249</td>\n",
       "      <td>0.004885</td>\n",
       "      <td>0.245070</td>\n",
       "      <td>0.108765</td>\n",
       "      <td>0.008565</td>\n",
       "      <td>-0.000734</td>\n",
       "      <td>-0.019290</td>\n",
       "      <td>0.005176</td>\n",
       "      <td>-0.000811</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.480943</td>\n",
       "      <td>0.253747</td>\n",
       "      <td>-0.363125</td>\n",
       "      <td>-0.471782</td>\n",
       "      <td>0.163388</td>\n",
       "      <td>-0.636465</td>\n",
       "      <td>0.506347</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.524942</td>\n",
       "      <td>-4.829766e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Type_Grocery Store</td>\n",
       "      <td>2.568212e-03</td>\n",
       "      <td>0.286400</td>\n",
       "      <td>-0.004277</td>\n",
       "      <td>-0.281196</td>\n",
       "      <td>-0.411727</td>\n",
       "      <td>-0.003339</td>\n",
       "      <td>-0.002307</td>\n",
       "      <td>0.009036</td>\n",
       "      <td>-0.002625</td>\n",
       "      <td>-0.004556</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.133364</td>\n",
       "      <td>-0.133202</td>\n",
       "      <td>0.691742</td>\n",
       "      <td>-0.266370</td>\n",
       "      <td>0.176158</td>\n",
       "      <td>0.093276</td>\n",
       "      <td>-0.265803</td>\n",
       "      <td>-0.524942</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.339275e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Outlet_Type_Supermarket Type3</td>\n",
       "      <td>1.413048e-14</td>\n",
       "      <td>-0.051144</td>\n",
       "      <td>-0.006714</td>\n",
       "      <td>-0.538072</td>\n",
       "      <td>0.311192</td>\n",
       "      <td>-0.004041</td>\n",
       "      <td>0.005605</td>\n",
       "      <td>0.004637</td>\n",
       "      <td>-0.022054</td>\n",
       "      <td>0.005173</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.122702</td>\n",
       "      <td>-0.122554</td>\n",
       "      <td>-0.092643</td>\n",
       "      <td>0.502787</td>\n",
       "      <td>-0.219004</td>\n",
       "      <td>0.436205</td>\n",
       "      <td>-0.244554</td>\n",
       "      <td>-0.482977</td>\n",
       "      <td>-0.133928</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>40 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Item_Weight  Item_Visibility  Item_MRP  \\\n",
       "Item_Weight                      1.000000e+00        -0.012049  0.024756   \n",
       "Item_Visibility                 -1.204853e-02         1.000000 -0.001315   \n",
       "Item_MRP                         2.475610e-02        -0.001315  1.000000   \n",
       "Outlet_Establishment_Year       -8.300836e-03        -0.074834  0.005020   \n",
       "Item_Outlet_Sales                1.155000e-02        -0.128625  0.567574   \n",
       "Item_Fat_Content_Low Fat         2.280804e-02        -0.046386 -0.000466   \n",
       "Item_Fat_Content_Regular        -2.126293e-02         0.047631  0.008299   \n",
       "Item_Fat_Content_LF             -2.079641e-03         0.001885 -0.006947   \n",
       "Item_Fat_Content_reg            -3.794890e-04         0.000523 -0.008865   \n",
       "Item_Type_Fruits and Vegetables  2.953735e-02         0.018969  0.023688   \n",
       "Item_Type_Snack Foods            1.027142e-02         0.005635  0.033817   \n",
       "Item_Type_Household              3.596767e-02        -0.032230  0.046815   \n",
       "Item_Type_Frozen Foods           6.244951e-04        -0.003153 -0.013358   \n",
       "Item_Type_Dairy                  3.292259e-02         0.035984  0.035551   \n",
       "Item_Type_Canned                -3.114182e-02         0.011114 -0.005666   \n",
       "Item_Type_Baking Goods          -3.259606e-02         0.016887 -0.067311   \n",
       "Item_Type_Health and Hygiene     1.419919e-02        -0.053931 -0.041646   \n",
       "Item_Type_Soft Drinks           -4.715459e-02        -0.009825 -0.035808   \n",
       "Item_Type_Meat                  -1.732389e-03        -0.017087 -0.004086   \n",
       "Item_Type_Breads                -5.061184e-02         0.000416 -0.000112   \n",
       "Item_Type_Hard Drinks           -4.732681e-02        -0.003700 -0.010089   \n",
       "Item_Type_Others                 2.716535e-02        -0.016240 -0.018595   \n",
       "Item_Type_Starchy Foods          2.301935e-02         0.003688  0.014613   \n",
       "Item_Type_Breakfast             -1.958157e-03         0.043418  0.001460   \n",
       "Outlet_Identifier_OUT027         1.413048e-14        -0.051144 -0.006714   \n",
       "Outlet_Identifier_OUT013         1.231336e-02        -0.041937  0.002438   \n",
       "Outlet_Identifier_OUT046         7.582609e-04        -0.038444  0.005983   \n",
       "Outlet_Identifier_OUT049         4.952527e-03        -0.036130 -0.003906   \n",
       "Outlet_Identifier_OUT035        -2.343359e-03        -0.033025  0.011969   \n",
       "Outlet_Identifier_OUT045        -1.718701e-02        -0.038353 -0.000239   \n",
       "Outlet_Identifier_OUT018         1.298712e-03        -0.034671  0.003850   \n",
       "Outlet_Identifier_OUT017        -2.559193e-03        -0.032179 -0.008812   \n",
       "Outlet_Identifier_OUT010         3.466654e-03         0.180697 -0.000912   \n",
       "Outlet_Size_Medium               4.151608e-03        -0.081061 -0.004510   \n",
       "Outlet_Size_Small               -1.100474e-03         0.063502  0.009793   \n",
       "Outlet_Location_Type_Tier 3      1.044702e-02         0.009650 -0.000744   \n",
       "Outlet_Location_Type_Tier 2     -1.467532e-02        -0.068787  0.001951   \n",
       "Outlet_Type_Supermarket Type1   -2.649136e-03        -0.144249  0.004885   \n",
       "Outlet_Type_Grocery Store        2.568212e-03         0.286400 -0.004277   \n",
       "Outlet_Type_Supermarket Type3    1.413048e-14        -0.051144 -0.006714   \n",
       "\n",
       "                                 Outlet_Establishment_Year  Item_Outlet_Sales  \\\n",
       "Item_Weight                                      -0.008301           0.011550   \n",
       "Item_Visibility                                  -0.074834          -0.128625   \n",
       "Item_MRP                                          0.005020           0.567574   \n",
       "Outlet_Establishment_Year                         1.000000          -0.049135   \n",
       "Item_Outlet_Sales                                -0.049135           1.000000   \n",
       "Item_Fat_Content_Low Fat                          0.002218          -0.011993   \n",
       "Item_Fat_Content_Regular                         -0.002051           0.022618   \n",
       "Item_Fat_Content_LF                               0.002458          -0.012389   \n",
       "Item_Fat_Content_reg                              0.021281          -0.015148   \n",
       "Item_Type_Fruits and Vegetables                  -0.005495           0.025950   \n",
       "Item_Type_Snack Foods                             0.002650           0.022782   \n",
       "Item_Type_Household                              -0.001951           0.015701   \n",
       "Item_Type_Frozen Foods                            0.007690          -0.009482   \n",
       "Item_Type_Dairy                                  -0.005286           0.008858   \n",
       "Item_Type_Canned                                  0.010998           0.007387   \n",
       "Item_Type_Baking Goods                           -0.003546          -0.038381   \n",
       "Item_Type_Health and Hygiene                     -0.002961          -0.025587   \n",
       "Item_Type_Soft Drinks                             0.007486          -0.024040   \n",
       "Item_Type_Meat                                   -0.013428          -0.002995   \n",
       "Item_Type_Breads                                 -0.003631           0.002332   \n",
       "Item_Type_Hard Drinks                             0.006627          -0.003956   \n",
       "Item_Type_Others                                 -0.002874          -0.021267   \n",
       "Item_Type_Starchy Foods                           0.011897           0.015039   \n",
       "Item_Type_Breakfast                              -0.006768          -0.004656   \n",
       "Outlet_Identifier_OUT027                         -0.538072           0.311192   \n",
       "Outlet_Identifier_OUT013                         -0.453388           0.024170   \n",
       "Outlet_Identifier_OUT046                         -0.034777           0.019803   \n",
       "Outlet_Identifier_OUT049                          0.048836           0.034264   \n",
       "Outlet_Identifier_OUT035                          0.257868           0.052823   \n",
       "Outlet_Identifier_OUT045                          0.174150           0.002274   \n",
       "Outlet_Identifier_OUT018                          0.466336          -0.038059   \n",
       "Outlet_Identifier_OUT017                          0.382361           0.032610   \n",
       "Outlet_Identifier_OUT010                          0.005301          -0.284883   \n",
       "Outlet_Size_Medium                               -0.016346           0.204701   \n",
       "Outlet_Size_Small                                -0.056567          -0.098403   \n",
       "Outlet_Location_Type_Tier 3                      -0.333895           0.046376   \n",
       "Outlet_Location_Type_Tier 2                       0.540820           0.058261   \n",
       "Outlet_Type_Supermarket Type1                     0.245070           0.108765   \n",
       "Outlet_Type_Grocery Store                        -0.281196          -0.411727   \n",
       "Outlet_Type_Supermarket Type3                    -0.538072           0.311192   \n",
       "\n",
       "                                 Item_Fat_Content_Low Fat  \\\n",
       "Item_Weight                                      0.022808   \n",
       "Item_Visibility                                 -0.046386   \n",
       "Item_MRP                                        -0.000466   \n",
       "Outlet_Establishment_Year                        0.002218   \n",
       "Item_Outlet_Sales                               -0.011993   \n",
       "Item_Fat_Content_Low Fat                         1.000000   \n",
       "Item_Fat_Content_Regular                        -0.871729   \n",
       "Item_Fat_Content_LF                             -0.238873   \n",
       "Item_Fat_Content_reg                            -0.143620   \n",
       "Item_Type_Fruits and Vegetables                 -0.105859   \n",
       "Item_Type_Snack Foods                           -0.049181   \n",
       "Item_Type_Household                              0.229783   \n",
       "Item_Type_Frozen Foods                          -0.069325   \n",
       "Item_Type_Dairy                                 -0.022231   \n",
       "Item_Type_Canned                                -0.066300   \n",
       "Item_Type_Baking Goods                          -0.077541   \n",
       "Item_Type_Health and Hygiene                     0.170414   \n",
       "Item_Type_Soft Drinks                            0.078817   \n",
       "Item_Type_Meat                                  -0.104144   \n",
       "Item_Type_Breads                                -0.033774   \n",
       "Item_Type_Hard Drinks                            0.108896   \n",
       "Item_Type_Others                                 0.094531   \n",
       "Item_Type_Starchy Foods                         -0.029977   \n",
       "Item_Type_Breakfast                             -0.056544   \n",
       "Outlet_Identifier_OUT027                        -0.004041   \n",
       "Outlet_Identifier_OUT013                        -0.000374   \n",
       "Outlet_Identifier_OUT046                        -0.002527   \n",
       "Outlet_Identifier_OUT049                         0.003611   \n",
       "Outlet_Identifier_OUT035                         0.002843   \n",
       "Outlet_Identifier_OUT045                         0.011747   \n",
       "Outlet_Identifier_OUT018                        -0.005452   \n",
       "Outlet_Identifier_OUT017                        -0.002233   \n",
       "Outlet_Identifier_OUT010                        -0.003282   \n",
       "Outlet_Size_Medium                              -0.003910   \n",
       "Outlet_Size_Small                               -0.000454   \n",
       "Outlet_Location_Type_Tier 3                     -0.007960   \n",
       "Outlet_Location_Type_Tier 2                      0.008213   \n",
       "Outlet_Type_Supermarket Type1                    0.008565   \n",
       "Outlet_Type_Grocery Store                       -0.003339   \n",
       "Outlet_Type_Supermarket Type3                   -0.004041   \n",
       "\n",
       "                                 Item_Fat_Content_Regular  \\\n",
       "Item_Weight                                     -0.021263   \n",
       "Item_Visibility                                  0.047631   \n",
       "Item_MRP                                         0.008299   \n",
       "Outlet_Establishment_Year                       -0.002051   \n",
       "Item_Outlet_Sales                                0.022618   \n",
       "Item_Fat_Content_Low Fat                        -0.871729   \n",
       "Item_Fat_Content_Regular                         1.000000   \n",
       "Item_Fat_Content_LF                             -0.140513   \n",
       "Item_Fat_Content_reg                            -0.084482   \n",
       "Item_Type_Fruits and Vegetables                  0.112353   \n",
       "Item_Type_Snack Foods                            0.055759   \n",
       "Item_Type_Household                             -0.247576   \n",
       "Item_Type_Frozen Foods                           0.079862   \n",
       "Item_Type_Dairy                                  0.024507   \n",
       "Item_Type_Canned                                 0.071969   \n",
       "Item_Type_Baking Goods                           0.080754   \n",
       "Item_Type_Health and Hygiene                    -0.182533   \n",
       "Item_Type_Soft Drinks                           -0.090075   \n",
       "Item_Type_Meat                                   0.118361   \n",
       "Item_Type_Breads                                 0.033603   \n",
       "Item_Type_Hard Drinks                           -0.114921   \n",
       "Item_Type_Others                                -0.101850   \n",
       "Item_Type_Starchy Foods                          0.016761   \n",
       "Item_Type_Breakfast                              0.065253   \n",
       "Outlet_Identifier_OUT027                         0.005605   \n",
       "Outlet_Identifier_OUT013                        -0.002316   \n",
       "Outlet_Identifier_OUT046                         0.003786   \n",
       "Outlet_Identifier_OUT049                         0.000606   \n",
       "Outlet_Identifier_OUT035                        -0.000984   \n",
       "Outlet_Identifier_OUT045                        -0.004692   \n",
       "Outlet_Identifier_OUT018                        -0.002037   \n",
       "Outlet_Identifier_OUT017                         0.002484   \n",
       "Outlet_Identifier_OUT010                        -0.001131   \n",
       "Outlet_Size_Medium                               0.002783   \n",
       "Outlet_Size_Small                                0.000856   \n",
       "Outlet_Location_Type_Tier 3                      0.000237   \n",
       "Outlet_Location_Type_Tier 2                     -0.002123   \n",
       "Outlet_Type_Supermarket Type1                   -0.000734   \n",
       "Outlet_Type_Grocery Store                       -0.002307   \n",
       "Outlet_Type_Supermarket Type3                    0.005605   \n",
       "\n",
       "                                 Item_Fat_Content_LF  Item_Fat_Content_reg  \\\n",
       "Item_Weight                                -0.002080             -0.000379   \n",
       "Item_Visibility                             0.001885              0.000523   \n",
       "Item_MRP                                   -0.006947             -0.008865   \n",
       "Outlet_Establishment_Year                   0.002458              0.021281   \n",
       "Item_Outlet_Sales                          -0.012389             -0.015148   \n",
       "Item_Fat_Content_Low Fat                   -0.238873             -0.143620   \n",
       "Item_Fat_Content_Regular                   -0.140513             -0.084482   \n",
       "Item_Fat_Content_LF                         1.000000             -0.023150   \n",
       "Item_Fat_Content_reg                       -0.023150              1.000000   \n",
       "Item_Type_Fruits and Vegetables            -0.011792              0.023191   \n",
       "Item_Type_Snack Foods                      -0.024087              0.018922   \n",
       "Item_Type_Household                         0.040739             -0.040789   \n",
       "Item_Type_Frozen Foods                     -0.020116              0.024319   \n",
       "Item_Type_Dairy                            -0.002943             -0.012495   \n",
       "Item_Type_Canned                           -0.016534              0.007949   \n",
       "Item_Type_Baking Goods                     -0.009431              0.015616   \n",
       "Item_Type_Health and Hygiene                0.025218             -0.030073   \n",
       "Item_Type_Soft Drinks                       0.032104             -0.023157   \n",
       "Item_Type_Meat                             -0.016425              0.005401   \n",
       "Item_Type_Breads                           -0.004797             -0.002658   \n",
       "Item_Type_Hard Drinks                       0.000261             -0.018933   \n",
       "Item_Type_Others                            0.021087             -0.016780   \n",
       "Item_Type_Starchy Foods                     0.016699              0.038352   \n",
       "Item_Type_Breakfast                        -0.011434              0.004377   \n",
       "Outlet_Identifier_OUT027                    0.004637             -0.022054   \n",
       "Outlet_Identifier_OUT013                   -0.005084              0.000665   \n",
       "Outlet_Identifier_OUT046                    0.009001             -0.002479   \n",
       "Outlet_Identifier_OUT049                   -0.016891              0.016925   \n",
       "Outlet_Identifier_OUT035                    0.007009             -0.008948   \n",
       "Outlet_Identifier_OUT045                   -0.016825             -0.005672   \n",
       "Outlet_Identifier_OUT018                    0.015137              0.017030   \n",
       "Outlet_Identifier_OUT017                   -0.006650              0.007415   \n",
       "Outlet_Identifier_OUT010                    0.013648              0.005645   \n",
       "Outlet_Size_Medium                          0.001913              0.007860   \n",
       "Outlet_Size_Small                           0.010318             -0.012981   \n",
       "Outlet_Location_Type_Tier 3                 0.016267              0.000026   \n",
       "Outlet_Location_Type_Tier 2                -0.010932             -0.004797   \n",
       "Outlet_Type_Supermarket Type1              -0.019290              0.005176   \n",
       "Outlet_Type_Grocery Store                   0.009036             -0.002625   \n",
       "Outlet_Type_Supermarket Type3               0.004637             -0.022054   \n",
       "\n",
       "                                 Item_Type_Fruits and Vegetables  ...  \\\n",
       "Item_Weight                                             0.029537  ...   \n",
       "Item_Visibility                                         0.018969  ...   \n",
       "Item_MRP                                                0.023688  ...   \n",
       "Outlet_Establishment_Year                              -0.005495  ...   \n",
       "Item_Outlet_Sales                                       0.025950  ...   \n",
       "Item_Fat_Content_Low Fat                               -0.105859  ...   \n",
       "Item_Fat_Content_Regular                                0.112353  ...   \n",
       "Item_Fat_Content_LF                                    -0.011792  ...   \n",
       "Item_Fat_Content_reg                                    0.023191  ...   \n",
       "Item_Type_Fruits and Vegetables                         1.000000  ...   \n",
       "Item_Type_Snack Foods                                  -0.166402  ...   \n",
       "Item_Type_Household                                    -0.142120  ...   \n",
       "Item_Type_Frozen Foods                                 -0.137352  ...   \n",
       "Item_Type_Dairy                                        -0.121232  ...   \n",
       "Item_Type_Canned                                       -0.118015  ...   \n",
       "Item_Type_Baking Goods                                 -0.117916  ...   \n",
       "Item_Type_Health and Hygiene                           -0.104782  ...   \n",
       "Item_Type_Soft Drinks                                  -0.096481  ...   \n",
       "Item_Type_Meat                                         -0.094171  ...   \n",
       "Item_Type_Breads                                       -0.071605  ...   \n",
       "Item_Type_Hard Drinks                                  -0.065970  ...   \n",
       "Item_Type_Others                                       -0.058467  ...   \n",
       "Item_Type_Starchy Foods                                -0.054645  ...   \n",
       "Item_Type_Breakfast                                    -0.047004  ...   \n",
       "Outlet_Identifier_OUT027                                0.005173  ...   \n",
       "Outlet_Identifier_OUT013                                0.007783  ...   \n",
       "Outlet_Identifier_OUT046                               -0.009023  ...   \n",
       "Outlet_Identifier_OUT049                                0.003819  ...   \n",
       "Outlet_Identifier_OUT035                               -0.005813  ...   \n",
       "Outlet_Identifier_OUT045                                0.009329  ...   \n",
       "Outlet_Identifier_OUT018                                0.000919  ...   \n",
       "Outlet_Identifier_OUT017                               -0.007348  ...   \n",
       "Outlet_Identifier_OUT010                               -0.001657  ...   \n",
       "Outlet_Size_Medium                                      0.006591  ...   \n",
       "Outlet_Size_Small                                      -0.012768  ...   \n",
       "Outlet_Location_Type_Tier 3                             0.008032  ...   \n",
       "Outlet_Location_Type_Tier 2                            -0.002541  ...   \n",
       "Outlet_Type_Supermarket Type1                          -0.000811  ...   \n",
       "Outlet_Type_Grocery Store                              -0.004556  ...   \n",
       "Outlet_Type_Supermarket Type3                           0.005173  ...   \n",
       "\n",
       "                                 Outlet_Identifier_OUT018  \\\n",
       "Item_Weight                                      0.001299   \n",
       "Item_Visibility                                 -0.034671   \n",
       "Item_MRP                                         0.003850   \n",
       "Outlet_Establishment_Year                        0.466336   \n",
       "Item_Outlet_Sales                               -0.038059   \n",
       "Item_Fat_Content_Low Fat                        -0.005452   \n",
       "Item_Fat_Content_Regular                        -0.002037   \n",
       "Item_Fat_Content_LF                              0.015137   \n",
       "Item_Fat_Content_reg                             0.017030   \n",
       "Item_Type_Fruits and Vegetables                  0.000919   \n",
       "Item_Type_Snack Foods                            0.001453   \n",
       "Item_Type_Household                             -0.004979   \n",
       "Item_Type_Frozen Foods                          -0.001507   \n",
       "Item_Type_Dairy                                 -0.001746   \n",
       "Item_Type_Canned                                 0.010418   \n",
       "Item_Type_Baking Goods                          -0.003632   \n",
       "Item_Type_Health and Hygiene                     0.002174   \n",
       "Item_Type_Soft Drinks                           -0.004153   \n",
       "Item_Type_Meat                                  -0.000476   \n",
       "Item_Type_Breads                                -0.000734   \n",
       "Item_Type_Hard Drinks                           -0.003132   \n",
       "Item_Type_Others                                 0.004320   \n",
       "Item_Type_Starchy Foods                          0.002553   \n",
       "Item_Type_Breakfast                              0.000077   \n",
       "Outlet_Identifier_OUT027                        -0.122702   \n",
       "Outlet_Identifier_OUT013                        -0.122481   \n",
       "Outlet_Identifier_OUT046                        -0.122333   \n",
       "Outlet_Identifier_OUT049                        -0.122333   \n",
       "Outlet_Identifier_OUT035                        -0.122333   \n",
       "Outlet_Identifier_OUT045                        -0.122260   \n",
       "Outlet_Identifier_OUT018                         1.000000   \n",
       "Outlet_Identifier_OUT017                        -0.122038   \n",
       "Outlet_Identifier_OUT010                        -0.092253   \n",
       "Outlet_Size_Medium                               0.500670   \n",
       "Outlet_Size_Small                               -0.218082   \n",
       "Outlet_Location_Type_Tier 3                      0.434369   \n",
       "Outlet_Location_Type_Tier 2                     -0.243524   \n",
       "Outlet_Type_Supermarket Type1                   -0.480943   \n",
       "Outlet_Type_Grocery Store                       -0.133364   \n",
       "Outlet_Type_Supermarket Type3                   -0.122702   \n",
       "\n",
       "                                 Outlet_Identifier_OUT017  \\\n",
       "Item_Weight                                     -0.002559   \n",
       "Item_Visibility                                 -0.032179   \n",
       "Item_MRP                                        -0.008812   \n",
       "Outlet_Establishment_Year                        0.382361   \n",
       "Item_Outlet_Sales                                0.032610   \n",
       "Item_Fat_Content_Low Fat                        -0.002233   \n",
       "Item_Fat_Content_Regular                         0.002484   \n",
       "Item_Fat_Content_LF                             -0.006650   \n",
       "Item_Fat_Content_reg                             0.007415   \n",
       "Item_Type_Fruits and Vegetables                 -0.007348   \n",
       "Item_Type_Snack Foods                           -0.002576   \n",
       "Item_Type_Household                             -0.004723   \n",
       "Item_Type_Frozen Foods                           0.016304   \n",
       "Item_Type_Dairy                                 -0.000135   \n",
       "Item_Type_Canned                                -0.002149   \n",
       "Item_Type_Baking Goods                           0.003694   \n",
       "Item_Type_Health and Hygiene                     0.007094   \n",
       "Item_Type_Soft Drinks                            0.009579   \n",
       "Item_Type_Meat                                  -0.003767   \n",
       "Item_Type_Breads                                -0.011754   \n",
       "Item_Type_Hard Drinks                           -0.003013   \n",
       "Item_Type_Others                                -0.006386   \n",
       "Item_Type_Starchy Foods                          0.005542   \n",
       "Item_Type_Breakfast                              0.000163   \n",
       "Outlet_Identifier_OUT027                        -0.122554   \n",
       "Outlet_Identifier_OUT013                        -0.122333   \n",
       "Outlet_Identifier_OUT046                        -0.122185   \n",
       "Outlet_Identifier_OUT049                        -0.122185   \n",
       "Outlet_Identifier_OUT035                        -0.122185   \n",
       "Outlet_Identifier_OUT045                        -0.122112   \n",
       "Outlet_Identifier_OUT018                        -0.122038   \n",
       "Outlet_Identifier_OUT017                         1.000000   \n",
       "Outlet_Identifier_OUT010                        -0.092142   \n",
       "Outlet_Size_Medium                              -0.243749   \n",
       "Outlet_Size_Small                               -0.217818   \n",
       "Outlet_Location_Type_Tier 3                     -0.280954   \n",
       "Outlet_Location_Type_Tier 2                      0.501132   \n",
       "Outlet_Type_Supermarket Type1                    0.253747   \n",
       "Outlet_Type_Grocery Store                       -0.133202   \n",
       "Outlet_Type_Supermarket Type3                   -0.122554   \n",
       "\n",
       "                                 Outlet_Identifier_OUT010  Outlet_Size_Medium  \\\n",
       "Item_Weight                                      0.003467            0.004152   \n",
       "Item_Visibility                                  0.180697           -0.081061   \n",
       "Item_MRP                                        -0.000912           -0.004510   \n",
       "Outlet_Establishment_Year                        0.005301           -0.016346   \n",
       "Item_Outlet_Sales                               -0.284883            0.204701   \n",
       "Item_Fat_Content_Low Fat                        -0.003282           -0.003910   \n",
       "Item_Fat_Content_Regular                        -0.001131            0.002783   \n",
       "Item_Fat_Content_LF                              0.013648            0.001913   \n",
       "Item_Fat_Content_reg                             0.005645            0.007860   \n",
       "Item_Type_Fruits and Vegetables                 -0.001657            0.006591   \n",
       "Item_Type_Snack Foods                           -0.009764            0.010607   \n",
       "Item_Type_Household                              0.011922           -0.007454   \n",
       "Item_Type_Frozen Foods                          -0.002754           -0.005416   \n",
       "Item_Type_Dairy                                 -0.002472           -0.005060   \n",
       "Item_Type_Canned                                -0.013019            0.004073   \n",
       "Item_Type_Baking Goods                          -0.000352           -0.008819   \n",
       "Item_Type_Health and Hygiene                     0.006236           -0.000423   \n",
       "Item_Type_Soft Drinks                           -0.002090           -0.009919   \n",
       "Item_Type_Meat                                   0.013818            0.011170   \n",
       "Item_Type_Breads                                 0.001843            0.001104   \n",
       "Item_Type_Hard Drinks                            0.006276            0.007784   \n",
       "Item_Type_Others                                -0.003428           -0.006063   \n",
       "Item_Type_Starchy Foods                         -0.002321           -0.000956   \n",
       "Item_Type_Breakfast                              0.007740           -0.000104   \n",
       "Outlet_Identifier_OUT027                        -0.092643            0.502787   \n",
       "Outlet_Identifier_OUT013                        -0.092476           -0.244634   \n",
       "Outlet_Identifier_OUT046                        -0.092365           -0.244339   \n",
       "Outlet_Identifier_OUT049                        -0.092365            0.501276   \n",
       "Outlet_Identifier_OUT035                        -0.092365           -0.244339   \n",
       "Outlet_Identifier_OUT045                        -0.092309           -0.244192   \n",
       "Outlet_Identifier_OUT018                        -0.092253            0.500670   \n",
       "Outlet_Identifier_OUT017                        -0.092142           -0.243749   \n",
       "Outlet_Identifier_OUT010                         1.000000           -0.184260   \n",
       "Outlet_Size_Medium                              -0.184260            1.000000   \n",
       "Outlet_Size_Small                               -0.164658           -0.435580   \n",
       "Outlet_Location_Type_Tier 3                      0.327960            0.391617   \n",
       "Outlet_Location_Type_Tier 2                     -0.183867           -0.486397   \n",
       "Outlet_Type_Supermarket Type1                   -0.363125           -0.471782   \n",
       "Outlet_Type_Grocery Store                        0.691742           -0.266370   \n",
       "Outlet_Type_Supermarket Type3                   -0.092643            0.502787   \n",
       "\n",
       "                                 Outlet_Size_Small  \\\n",
       "Item_Weight                              -0.001100   \n",
       "Item_Visibility                           0.063502   \n",
       "Item_MRP                                  0.009793   \n",
       "Outlet_Establishment_Year                -0.056567   \n",
       "Item_Outlet_Sales                        -0.098403   \n",
       "Item_Fat_Content_Low Fat                 -0.000454   \n",
       "Item_Fat_Content_Regular                  0.000856   \n",
       "Item_Fat_Content_LF                       0.010318   \n",
       "Item_Fat_Content_reg                     -0.012981   \n",
       "Item_Type_Fruits and Vegetables          -0.012768   \n",
       "Item_Type_Snack Foods                    -0.000916   \n",
       "Item_Type_Household                       0.001720   \n",
       "Item_Type_Frozen Foods                    0.007965   \n",
       "Item_Type_Dairy                           0.006659   \n",
       "Item_Type_Canned                          0.007054   \n",
       "Item_Type_Baking Goods                    0.005364   \n",
       "Item_Type_Health and Hygiene             -0.010583   \n",
       "Item_Type_Soft Drinks                     0.001549   \n",
       "Item_Type_Meat                           -0.000093   \n",
       "Item_Type_Breads                          0.001042   \n",
       "Item_Type_Hard Drinks                    -0.016631   \n",
       "Item_Type_Others                          0.014335   \n",
       "Item_Type_Starchy Foods                  -0.006934   \n",
       "Item_Type_Breakfast                      -0.001898   \n",
       "Outlet_Identifier_OUT027                 -0.219004   \n",
       "Outlet_Identifier_OUT013                 -0.218609   \n",
       "Outlet_Identifier_OUT046                  0.560951   \n",
       "Outlet_Identifier_OUT049                 -0.218346   \n",
       "Outlet_Identifier_OUT035                  0.560951   \n",
       "Outlet_Identifier_OUT045                 -0.218214   \n",
       "Outlet_Identifier_OUT018                 -0.218082   \n",
       "Outlet_Identifier_OUT017                 -0.217818   \n",
       "Outlet_Identifier_OUT010                 -0.164658   \n",
       "Outlet_Size_Medium                       -0.435580   \n",
       "Outlet_Size_Small                         1.000000   \n",
       "Outlet_Location_Type_Tier 3              -0.502066   \n",
       "Outlet_Location_Type_Tier 2               0.083381   \n",
       "Outlet_Type_Supermarket Type1             0.163388   \n",
       "Outlet_Type_Grocery Store                 0.176158   \n",
       "Outlet_Type_Supermarket Type3            -0.219004   \n",
       "\n",
       "                                 Outlet_Location_Type_Tier 3  \\\n",
       "Item_Weight                                         0.010447   \n",
       "Item_Visibility                                     0.009650   \n",
       "Item_MRP                                           -0.000744   \n",
       "Outlet_Establishment_Year                          -0.333895   \n",
       "Item_Outlet_Sales                                   0.046376   \n",
       "Item_Fat_Content_Low Fat                           -0.007960   \n",
       "Item_Fat_Content_Regular                            0.000237   \n",
       "Item_Fat_Content_LF                                 0.016267   \n",
       "Item_Fat_Content_reg                                0.000026   \n",
       "Item_Type_Fruits and Vegetables                     0.008032   \n",
       "Item_Type_Snack Foods                              -0.004603   \n",
       "Item_Type_Household                                 0.004917   \n",
       "Item_Type_Frozen Foods                             -0.007556   \n",
       "Item_Type_Dairy                                    -0.004482   \n",
       "Item_Type_Canned                                   -0.004612   \n",
       "Item_Type_Baking Goods                             -0.002446   \n",
       "Item_Type_Health and Hygiene                        0.011654   \n",
       "Item_Type_Soft Drinks                              -0.007461   \n",
       "Item_Type_Meat                                      0.010983   \n",
       "Item_Type_Breads                                    0.001909   \n",
       "Item_Type_Hard Drinks                              -0.000174   \n",
       "Item_Type_Others                                   -0.009350   \n",
       "Item_Type_Starchy Foods                             0.001523   \n",
       "Item_Type_Breakfast                                 0.003754   \n",
       "Outlet_Identifier_OUT027                            0.436205   \n",
       "Outlet_Identifier_OUT013                            0.435419   \n",
       "Outlet_Identifier_OUT046                           -0.281635   \n",
       "Outlet_Identifier_OUT049                           -0.281635   \n",
       "Outlet_Identifier_OUT035                           -0.281635   \n",
       "Outlet_Identifier_OUT045                           -0.281465   \n",
       "Outlet_Identifier_OUT018                            0.434369   \n",
       "Outlet_Identifier_OUT017                           -0.280954   \n",
       "Outlet_Identifier_OUT010                            0.327960   \n",
       "Outlet_Size_Medium                                  0.391617   \n",
       "Outlet_Size_Small                                  -0.502066   \n",
       "Outlet_Location_Type_Tier 3                         1.000000   \n",
       "Outlet_Location_Type_Tier 2                        -0.560639   \n",
       "Outlet_Type_Supermarket Type1                      -0.636465   \n",
       "Outlet_Type_Grocery Store                           0.093276   \n",
       "Outlet_Type_Supermarket Type3                       0.436205   \n",
       "\n",
       "                                 Outlet_Location_Type_Tier 2  \\\n",
       "Item_Weight                                        -0.014675   \n",
       "Item_Visibility                                    -0.068787   \n",
       "Item_MRP                                            0.001951   \n",
       "Outlet_Establishment_Year                           0.540820   \n",
       "Item_Outlet_Sales                                   0.058261   \n",
       "Item_Fat_Content_Low Fat                            0.008213   \n",
       "Item_Fat_Content_Regular                           -0.002123   \n",
       "Item_Fat_Content_LF                                -0.010932   \n",
       "Item_Fat_Content_reg                               -0.004797   \n",
       "Item_Type_Fruits and Vegetables                    -0.002541   \n",
       "Item_Type_Snack Foods                               0.006390   \n",
       "Item_Type_Household                                -0.001097   \n",
       "Item_Type_Frozen Foods                             -0.000590   \n",
       "Item_Type_Dairy                                    -0.008162   \n",
       "Item_Type_Canned                                    0.009366   \n",
       "Item_Type_Baking Goods                             -0.000701   \n",
       "Item_Type_Health and Hygiene                       -0.004093   \n",
       "Item_Type_Soft Drinks                               0.013034   \n",
       "Item_Type_Meat                                     -0.015945   \n",
       "Item_Type_Breads                                    0.002933   \n",
       "Item_Type_Hard Drinks                               0.003314   \n",
       "Item_Type_Others                                   -0.005783   \n",
       "Item_Type_Starchy Foods                             0.008884   \n",
       "Item_Type_Breakfast                                -0.008741   \n",
       "Outlet_Identifier_OUT027                           -0.244554   \n",
       "Outlet_Identifier_OUT013                           -0.244113   \n",
       "Outlet_Identifier_OUT046                           -0.243819   \n",
       "Outlet_Identifier_OUT049                           -0.243819   \n",
       "Outlet_Identifier_OUT035                            0.502345   \n",
       "Outlet_Identifier_OUT045                            0.502042   \n",
       "Outlet_Identifier_OUT018                           -0.243524   \n",
       "Outlet_Identifier_OUT017                            0.501132   \n",
       "Outlet_Identifier_OUT010                           -0.183867   \n",
       "Outlet_Size_Medium                                 -0.486397   \n",
       "Outlet_Size_Small                                   0.083381   \n",
       "Outlet_Location_Type_Tier 3                        -0.560639   \n",
       "Outlet_Location_Type_Tier 2                         1.000000   \n",
       "Outlet_Type_Supermarket Type1                       0.506347   \n",
       "Outlet_Type_Grocery Store                          -0.265803   \n",
       "Outlet_Type_Supermarket Type3                      -0.244554   \n",
       "\n",
       "                                 Outlet_Type_Supermarket Type1  \\\n",
       "Item_Weight                                          -0.002649   \n",
       "Item_Visibility                                      -0.144249   \n",
       "Item_MRP                                              0.004885   \n",
       "Outlet_Establishment_Year                             0.245070   \n",
       "Item_Outlet_Sales                                     0.108765   \n",
       "Item_Fat_Content_Low Fat                              0.008565   \n",
       "Item_Fat_Content_Regular                             -0.000734   \n",
       "Item_Fat_Content_LF                                  -0.019290   \n",
       "Item_Fat_Content_reg                                  0.005176   \n",
       "Item_Type_Fruits and Vegetables                      -0.000811   \n",
       "Item_Type_Snack Foods                                -0.000154   \n",
       "Item_Type_Household                                   0.001234   \n",
       "Item_Type_Frozen Foods                                0.009750   \n",
       "Item_Type_Dairy                                       0.003396   \n",
       "Item_Type_Canned                                      0.001236   \n",
       "Item_Type_Baking Goods                                0.001846   \n",
       "Item_Type_Health and Hygiene                         -0.005422   \n",
       "Item_Type_Soft Drinks                                 0.009777   \n",
       "Item_Type_Meat                                       -0.023912   \n",
       "Item_Type_Breads                                     -0.006189   \n",
       "Item_Type_Hard Drinks                                 0.007837   \n",
       "Item_Type_Others                                     -0.006344   \n",
       "Item_Type_Starchy Foods                               0.013516   \n",
       "Item_Type_Breakfast                                  -0.008695   \n",
       "Outlet_Identifier_OUT027                             -0.482977   \n",
       "Outlet_Identifier_OUT013                              0.254668   \n",
       "Outlet_Identifier_OUT046                              0.254361   \n",
       "Outlet_Identifier_OUT049                              0.254361   \n",
       "Outlet_Identifier_OUT035                              0.254361   \n",
       "Outlet_Identifier_OUT045                              0.254208   \n",
       "Outlet_Identifier_OUT018                             -0.480943   \n",
       "Outlet_Identifier_OUT017                              0.253747   \n",
       "Outlet_Identifier_OUT010                             -0.363125   \n",
       "Outlet_Size_Medium                                   -0.471782   \n",
       "Outlet_Size_Small                                     0.163388   \n",
       "Outlet_Location_Type_Tier 3                          -0.636465   \n",
       "Outlet_Location_Type_Tier 2                           0.506347   \n",
       "Outlet_Type_Supermarket Type1                         1.000000   \n",
       "Outlet_Type_Grocery Store                            -0.524942   \n",
       "Outlet_Type_Supermarket Type3                        -0.482977   \n",
       "\n",
       "                                 Outlet_Type_Grocery Store  \\\n",
       "Item_Weight                                       0.002568   \n",
       "Item_Visibility                                   0.286400   \n",
       "Item_MRP                                         -0.004277   \n",
       "Outlet_Establishment_Year                        -0.281196   \n",
       "Item_Outlet_Sales                                -0.411727   \n",
       "Item_Fat_Content_Low Fat                         -0.003339   \n",
       "Item_Fat_Content_Regular                         -0.002307   \n",
       "Item_Fat_Content_LF                               0.009036   \n",
       "Item_Fat_Content_reg                             -0.002625   \n",
       "Item_Type_Fruits and Vegetables                  -0.004556   \n",
       "Item_Type_Snack Foods                            -0.006565   \n",
       "Item_Type_Household                               0.003842   \n",
       "Item_Type_Frozen Foods                           -0.006763   \n",
       "Item_Type_Dairy                                   0.006933   \n",
       "Item_Type_Canned                                 -0.012574   \n",
       "Item_Type_Baking Goods                            0.003536   \n",
       "Item_Type_Health and Hygiene                      0.001361   \n",
       "Item_Type_Soft Drinks                            -0.004031   \n",
       "Item_Type_Meat                                    0.019416   \n",
       "Item_Type_Breads                                  0.002305   \n",
       "Item_Type_Hard Drinks                            -0.007189   \n",
       "Item_Type_Others                                  0.013963   \n",
       "Item_Type_Starchy Foods                          -0.015658   \n",
       "Item_Type_Breakfast                               0.015676   \n",
       "Outlet_Identifier_OUT027                         -0.133928   \n",
       "Outlet_Identifier_OUT013                         -0.133686   \n",
       "Outlet_Identifier_OUT046                         -0.133525   \n",
       "Outlet_Identifier_OUT049                         -0.133525   \n",
       "Outlet_Identifier_OUT035                         -0.133525   \n",
       "Outlet_Identifier_OUT045                         -0.133444   \n",
       "Outlet_Identifier_OUT018                         -0.133364   \n",
       "Outlet_Identifier_OUT017                         -0.133202   \n",
       "Outlet_Identifier_OUT010                          0.691742   \n",
       "Outlet_Size_Medium                               -0.266370   \n",
       "Outlet_Size_Small                                 0.176158   \n",
       "Outlet_Location_Type_Tier 3                       0.093276   \n",
       "Outlet_Location_Type_Tier 2                      -0.265803   \n",
       "Outlet_Type_Supermarket Type1                    -0.524942   \n",
       "Outlet_Type_Grocery Store                         1.000000   \n",
       "Outlet_Type_Supermarket Type3                    -0.133928   \n",
       "\n",
       "                                 Outlet_Type_Supermarket Type3  \n",
       "Item_Weight                                       1.413048e-14  \n",
       "Item_Visibility                                  -5.114446e-02  \n",
       "Item_MRP                                         -6.713699e-03  \n",
       "Outlet_Establishment_Year                        -5.380723e-01  \n",
       "Item_Outlet_Sales                                 3.111920e-01  \n",
       "Item_Fat_Content_Low Fat                         -4.040993e-03  \n",
       "Item_Fat_Content_Regular                          5.605465e-03  \n",
       "Item_Fat_Content_LF                               4.637153e-03  \n",
       "Item_Fat_Content_reg                             -2.205419e-02  \n",
       "Item_Type_Fruits and Vegetables                   5.173467e-03  \n",
       "Item_Type_Snack Foods                             5.781569e-03  \n",
       "Item_Type_Household                              -1.008871e-03  \n",
       "Item_Type_Frozen Foods                           -6.127626e-03  \n",
       "Item_Type_Dairy                                  -1.081723e-02  \n",
       "Item_Type_Canned                                  1.136135e-03  \n",
       "Item_Type_Baking Goods                           -2.957106e-03  \n",
       "Item_Type_Health and Hygiene                      4.634023e-03  \n",
       "Item_Type_Soft Drinks                            -6.443416e-03  \n",
       "Item_Type_Meat                                    1.617203e-02  \n",
       "Item_Type_Breads                                  7.693473e-03  \n",
       "Item_Type_Hard Drinks                            -1.143358e-03  \n",
       "Item_Type_Others                                 -9.532685e-03  \n",
       "Item_Type_Starchy Foods                          -6.426649e-03  \n",
       "Item_Type_Breakfast                              -3.550234e-03  \n",
       "Outlet_Identifier_OUT027                          1.000000e+00  \n",
       "Outlet_Identifier_OUT013                         -1.229987e-01  \n",
       "Outlet_Identifier_OUT046                         -1.228505e-01  \n",
       "Outlet_Identifier_OUT049                         -1.228505e-01  \n",
       "Outlet_Identifier_OUT035                         -1.228505e-01  \n",
       "Outlet_Identifier_OUT045                         -1.227763e-01  \n",
       "Outlet_Identifier_OUT018                         -1.227022e-01  \n",
       "Outlet_Identifier_OUT017                         -1.225537e-01  \n",
       "Outlet_Identifier_OUT010                         -9.264329e-02  \n",
       "Outlet_Size_Medium                                5.027869e-01  \n",
       "Outlet_Size_Small                                -2.190040e-01  \n",
       "Outlet_Location_Type_Tier 3                       4.362053e-01  \n",
       "Outlet_Location_Type_Tier 2                      -2.445538e-01  \n",
       "Outlet_Type_Supermarket Type1                    -4.829766e-01  \n",
       "Outlet_Type_Grocery Store                        -1.339275e-01  \n",
       "Outlet_Type_Supermarket Type3                     1.000000e+00  \n",
       "\n",
       "[40 rows x 40 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.drop('Item_Outlet_Sales',axis=1)\n",
    "y = df['Item_Outlet_Sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 39)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523,)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "inp_pf = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\numpy\\core\\fromnumeric.py:2389: FutureWarning: Method .ptp is deprecated and will be removed in a future version. Use numpy.ptp instead.\n",
      "  return ptp(axis=axis, out=out, **kwargs)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The final features trough backward eliminations are : Index(['Item_MRP', 'Outlet_Establishment_Year', 'Outlet_Identifier_OUT027',\n",
      "       'Outlet_Identifier_OUT046', 'Outlet_Identifier_OUT049',\n",
      "       'Outlet_Identifier_OUT035', 'Outlet_Identifier_OUT045',\n",
      "       'Outlet_Identifier_OUT018', 'Outlet_Identifier_OUT017',\n",
      "       'Outlet_Identifier_OUT010', 'Outlet_Size_Medium', 'Outlet_Size_Small',\n",
      "       'Outlet_Location_Type_Tier 3', 'Outlet_Location_Type_Tier 2',\n",
      "       'Outlet_Type_Supermarket Type1', 'Outlet_Type_Grocery Store',\n",
      "       'Outlet_Type_Supermarket Type3'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "\n",
    "while(len(x.columns)>0):\n",
    "    inp_c=sm.add_constant(x)\n",
    "    ols_pf=sm.OLS(np.asarray(y),inp_c)\n",
    "    mod_pf=ols_pf.fit()\n",
    "    f=mod_pf.pvalues[1:].idxmax()\n",
    "    if mod_pf.pvalues[1:].max()>0.05:\n",
    "        x = x.drop(f,1)\n",
    "    else:\n",
    "        break\n",
    "print('The final features trough backward eliminations are :',x.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(x.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 17)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "x_train,x_test,y_train,y_test = train_test_split(x,y,test_size=0.3,random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5966, 17)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(x_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2557, 17)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5966,)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2557,)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train score  0.5624038094447097\n",
      "test score  0.5633483269397874\n",
      "mean squared error  1260.9147602389717\n"
     ]
    }
   ],
   "source": [
    "lr = LinearRegression()\n",
    "lr.fit(x_train,y_train)\n",
    "predicted_sales_lr = rf.predict(x_test)\n",
    "print('train score ',lr.score(x_train, y_train))\n",
    "print('test score ',lr.score(x_test, y_test))\n",
    "print('mean squared error ', mean_squared_error(y_test,predicted_sales_lr)**0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_sales = lr.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5624038094447097"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.score(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.score(x_test, predicted_sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1161.9668024372397"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_squared_error(y_test,predicted_sales)**0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',\n",
       "                      max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "                      max_samples=None, min_impurity_decrease=0.0,\n",
       "                      min_impurity_split=None, min_samples_leaf=1,\n",
       "                      min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
       "                      n_estimators=100, n_jobs=None, oob_score=False,\n",
       "                      random_state=None, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "rf = RandomForestRegressor()\n",
    "rf.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train score  0.9182360013433556\n",
      "test score  0.5633483269397874\n",
      "mean squared error  1161.9668024372397\n"
     ]
    }
   ],
   "source": [
    "predicted_sales_rf = rf.predict(x_test)\n",
    "print('train score ',rf.score(x_train, y_train))\n",
    "print('test score ',lr.score(x_test, y_test))\n",
    "print('mean squared error ', mean_squared_error(y_test,predicted_sales)**0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xgboost as xgb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "from xgboost import XGBRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Pavan\\AppData\\Roaming\\Python\\Python37\\site-packages\\xgboost\\core.py:587: FutureWarning: Series.base is deprecated and will be removed in a future version\n",
      "  if getattr(data, 'base', None) is not None and \\\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[17:11:03] WARNING: C:/Jenkins/workspace/xgboost-win64_release_0.90/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n",
      "train score  0.6307310016091631\n",
      "test score  0.6031839247792131\n",
      "mean squared error  1107.69650333143\n"
     ]
    }
   ],
   "source": [
    "xgbr = XGBRegressor()\n",
    "xgbr.fit(x_train,y_train)\n",
    "predicted_sales_xgbr = xgbr.predict(x_test)\n",
    "print('train score ',xgbr.score(x_train, y_train))\n",
    "print('test score ',xgbr.score(x_test, y_test))\n",
    "print('mean squared error ', mean_squared_error(y_test,predicted_sales_xgbr)**0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train score  0.9906203584217129\n",
      "test score  0.2353757461096564\n",
      "mean squared error  1537.6241483945444\n"
     ]
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor\n",
    "dtr = DecisionTreeRegressor()\n",
    "dtr.fit(x_train,y_train)\n",
    "predicted_sales_dtr = dtr.predict(x_test)\n",
    "print('train score ',dtr.score(x_train, y_train))\n",
    "print('test score ',dtr.score(x_test, y_test))\n",
    "print('mean squared error ', mean_squared_error(y_test,predicted_sales_dtr)**0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 40)"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('Item_Outlet_Sales',axis=1)\n",
    "y = df['Item_Outlet_Sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "train,test = train_test_split(df,test_size=0.2,random_state=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6818, 40)"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1705, 40)"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train = df.drop('Item_Outlet_Sales',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train = df['Item_Outlet_Sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523, 39)"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8523,)"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7128.516819657291"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Item_Weight', -0.504712056380117),\n",
       " ('Item_Visibility', -304.97711161618247),\n",
       " ('Item_MRP', 15.563581498242417),\n",
       " ('Outlet_Establishment_Year', -3.781054158986103),\n",
       " ('Item_Fat_Content_Low Fat', -46.387021061663894),\n",
       " ('Item_Fat_Content_Regular', -2.5351685481352395),\n",
       " ('Item_Fat_Content_LF', -77.89215031057518),\n",
       " ('Item_Fat_Content_reg', -107.5529506425068),\n",
       " ('Item_Type_Fruits and Vegetables', -153.84103407410765),\n",
       " ('Item_Type_Snack Foods', -195.3494183595708),\n",
       " ('Item_Type_Household', -223.01376534391812),\n",
       " ('Item_Type_Frozen Foods', -211.45610761808337),\n",
       " ('Item_Type_Dairy', -225.53637782209256),\n",
       " ('Item_Type_Canned', -158.9164322403338),\n",
       " ('Item_Type_Baking Goods', -183.89763490998047),\n",
       " ('Item_Type_Health and Hygiene', -194.5887703822426),\n",
       " ('Item_Type_Soft Drinks', -211.59495409881438),\n",
       " ('Item_Type_Meat', -184.82591919267537),\n",
       " ('Item_Type_Breads', -179.90970883232876),\n",
       " ('Item_Type_Hard Drinks', -185.48944523600082),\n",
       " ('Item_Type_Others', -204.89073978749923),\n",
       " ('Item_Type_Starchy Foods', -158.26778477365576),\n",
       " ('Item_Type_Breakfast', -176.7925822941495),\n",
       " ('Outlet_Identifier_OUT027', 731.7542720902593),\n",
       " ('Outlet_Identifier_OUT013', -6.916202945829141),\n",
       " ('Outlet_Identifier_OUT046', 358.26033286786287),\n",
       " ('Outlet_Identifier_OUT035', 258.34502687352),\n",
       " ('Outlet_Identifier_OUT049', -113.03721807643345),\n",
       " ('Outlet_Identifier_OUT045', -91.19101283289109),\n",
       " ('Outlet_Identifier_OUT018', -170.8321790859616),\n",
       " ('Outlet_Identifier_OUT017', 102.42234249526582),\n",
       " ('Outlet_Identifier_OUT010', -324.47531683710474),\n",
       " ('Outlet_Size_Medium', 447.8848749278688),\n",
       " ('Outlet_Size_Small', -127.72468480731538),\n",
       " ('Outlet_Location_Type_Tier 3', 229.53057322137053),\n",
       " ('Outlet_Location_Type_Tier 2', 269.5763565359099),\n",
       " ('Outlet_Type_Supermarket Type1', 507.88326838150607),\n",
       " ('Outlet_Type_Grocery Store', -1068.8053613858085),\n",
       " ('Outlet_Type_Supermarket Type3', 731.7542720902588)]"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(zip(x_train.columns,lr.coef_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1705, 40)"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_test = test.drop('Item_Outlet_Sales',axis=1)\n",
    "y_test = test['Item_Outlet_Sales']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "predicted_sales = lr.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "872.341924941034"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_absolute_error(test['Item_Outlet_Sales'],predicted_sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5638369082389556"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.score(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lr.score(x_test, predicted_sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1180.9344300986309"
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_squared_error(y_test,predicted_sales)**0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "# predicting actual test file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_file = pd.read_csv('test_AbJTz2l.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5681, 11)"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_file.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "could not convert string to float: 'FDW58'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-214-9e89a4f585d6>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpredicted\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtest_file\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\base.py\u001b[0m in \u001b[0;36mpredict\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    219\u001b[0m             \u001b[0mReturns\u001b[0m \u001b[0mpredicted\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    220\u001b[0m         \"\"\"\n\u001b[1;32m--> 221\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_decision_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    222\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    223\u001b[0m     \u001b[0m_preprocess_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mstaticmethod\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_preprocess_data\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\base.py\u001b[0m in \u001b[0;36m_decision_function\u001b[1;34m(self, X)\u001b[0m\n\u001b[0;32m    202\u001b[0m         \u001b[0mcheck_is_fitted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"coef_\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    203\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 204\u001b[1;33m         \u001b[0mX\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcheck_array\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0maccept_sparse\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'csr'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'csc'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'coo'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    205\u001b[0m         return safe_sparse_dot(X, self.coef_.T,\n\u001b[0;32m    206\u001b[0m                                dense_output=True) + self.intercept_\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py\u001b[0m in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)\u001b[0m\n\u001b[0;32m    534\u001b[0m         \u001b[1;31m# make sure we actually converted to numeric:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    535\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mdtype_numeric\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkind\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"O\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 536\u001b[1;33m             \u001b[0marray\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    537\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mallow_nd\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0marray\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[1;33m>=\u001b[0m \u001b[1;36m3\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    538\u001b[0m             raise ValueError(\"Found array with dim %d. %s expected <= 2.\"\n",
      "\u001b[1;31mValueError\u001b[0m: could not convert string to float: 'FDW58'"
     ]
    }
   ],
   "source": [
    "predicted = lr.predict(test_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RFE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing libraries\n",
    "from sklearn.datasets import load_boston\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import statsmodels.api as sm\n",
    "%matplotlib inline\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.linear_model import RidgeCV, LassoCV, Ridge, Lasso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Initializing RFE model\n",
    "rfe = RFE(model, 37)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[False  True  True  True  True False  True  True  True  True  True  True\n",
      "  True  True  True  True  True  True  True  True  True  True  True  True\n",
      "  True  True  True  True  True  True  True  True  True  True  True  True\n",
      "  True  True  True]\n",
      "[3 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1]\n"
     ]
    }
   ],
   "source": [
    "#Transforming data using RFE\n",
    "X_rfe = rfe.fit_transform(x_train,y_train)  \n",
    "#Fitting the data to model\n",
    "model.fit(X_rfe,y_train)\n",
    "print(rfe.support_)\n",
    "print(rfe.ranking_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Item_Visibility', 'Item_MRP', 'Outlet_Establishment_Year',\n",
      "       'Item_Fat_Content_Low Fat', 'Item_Fat_Content_LF',\n",
      "       'Item_Fat_Content_reg', 'Item_Type_Fruits and Vegetables',\n",
      "       'Item_Type_Snack Foods', 'Item_Type_Household',\n",
      "       'Item_Type_Frozen Foods', 'Item_Type_Dairy', 'Item_Type_Canned',\n",
      "       'Item_Type_Baking Goods', 'Item_Type_Health and Hygiene',\n",
      "       'Item_Type_Soft Drinks', 'Item_Type_Meat', 'Item_Type_Breads',\n",
      "       'Item_Type_Hard Drinks', 'Item_Type_Others', 'Item_Type_Starchy Foods',\n",
      "       'Item_Type_Breakfast', 'Outlet_Identifier_OUT027',\n",
      "       'Outlet_Identifier_OUT013', 'Outlet_Identifier_OUT046',\n",
      "       'Outlet_Identifier_OUT035', 'Outlet_Identifier_OUT049',\n",
      "       'Outlet_Identifier_OUT045', 'Outlet_Identifier_OUT018',\n",
      "       'Outlet_Identifier_OUT017', 'Outlet_Identifier_OUT010',\n",
      "       'Outlet_Size_Medium', 'Outlet_Size_Small',\n",
      "       'Outlet_Location_Type_Tier 3', 'Outlet_Location_Type_Tier 2',\n",
      "       'Outlet_Type_Supermarket Type1', 'Outlet_Type_Grocery Store',\n",
      "       'Outlet_Type_Supermarket Type3'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "cols = list(X.columns)\n",
    "model = LinearRegression()\n",
    "#Initializing RFE model\n",
    "rfe = RFE(model, 37)             \n",
    "#Transforming data using RFE\n",
    "X_rfe = rfe.fit_transform(X,y)  \n",
    "#Fitting the data to model\n",
    "model.fit(X_rfe,y)              \n",
    "temp = pd.Series(rfe.support_,index = cols)\n",
    "selected_features_rfe = temp[temp==True].index\n",
    "print(selected_features_rfe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimum number of features: 37\n",
      "Score with 37 features: 0.562341\n"
     ]
    }
   ],
   "source": [
    "#no of features\n",
    "nof_list=np.arange(1,41)            \n",
    "high_score=0\n",
    "#Variable to store the optimum features\n",
    "nof=0           \n",
    "score_list =[]\n",
    "for n in range(len(nof_list)):\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X,y, test_size = 0.3, random_state = 0)\n",
    "    model = LinearRegression()\n",
    "    rfe = RFE(model,nof_list[n])\n",
    "    X_train_rfe = rfe.fit_transform(X_train,y_train)\n",
    "    X_test_rfe = rfe.transform(X_test)\n",
    "    model.fit(X_train_rfe,y_train)\n",
    "    score = model.score(X_test_rfe,y_test)\n",
    "    score_list.append(score)\n",
    "    if(score>high_score):\n",
    "        high_score = score\n",
    "        nof = nof_list[n]\n",
    "print(\"Optimum number of features: %d\" %nof)\n",
    "print(\"Score with %d features: %f\" % (nof, high_score))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5966, 39)"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_rfe.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2557, 39)"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test_rfe.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2557,)"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2557, 39)"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step Fwd selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score as acc\n",
    "from mlxtend.feature_selection import SequentialFeatureSelector as sfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=1)]: Done  39 out of  39 | elapsed:    3.6s finished\n",
      "\n",
      "[2020-05-17 12:12:41] Features: 38/37 -- score: 0.5591164797460214[Parallel(n_jobs=1)]: Using backend SequentialBackend with 1 concurrent workers.\n",
      "[Parallel(n_jobs=1)]: Done   1 out of   1 | elapsed:    0.0s remaining:    0.0s\n",
      "[Parallel(n_jobs=1)]: Done  38 out of  38 | elapsed:    3.7s finished\n",
      "\n",
      "[2020-05-17 12:12:45] Features: 37/37 -- score: 0.5593003909186471"
     ]
    }
   ],
   "source": [
    "# Build RF classifier to use in feature selection\n",
    "clf = LinearRegression()\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size = 0.3, random_state = 0)\n",
    "\n",
    "\n",
    "# Build step forward feature selection\n",
    "sfs1 = sfs(clf,k_features = 37,forward=False,\n",
    "           floating=False, scoring='r2',\n",
    "           verbose=2,\n",
    "           cv=5)\n",
    "\n",
    "# Perform SFFS\n",
    "sfs1 = sfs1.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.DataFrame(test_pred).to_csv('mysubmission.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_file = pd.read_csv('test_AbJTz2l.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>FDW58</td>\n",
       "      <td>20.750</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>0.007565</td>\n",
       "      <td>Snack Foods</td>\n",
       "      <td>107.8622</td>\n",
       "      <td>OUT049</td>\n",
       "      <td>1999</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 1</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>FDW14</td>\n",
       "      <td>8.300</td>\n",
       "      <td>reg</td>\n",
       "      <td>0.038428</td>\n",
       "      <td>Dairy</td>\n",
       "      <td>87.3198</td>\n",
       "      <td>OUT017</td>\n",
       "      <td>2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tier 2</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>NCN55</td>\n",
       "      <td>14.600</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>0.099575</td>\n",
       "      <td>Others</td>\n",
       "      <td>241.7538</td>\n",
       "      <td>OUT010</td>\n",
       "      <td>1998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>FDQ58</td>\n",
       "      <td>7.315</td>\n",
       "      <td>Low Fat</td>\n",
       "      <td>0.015388</td>\n",
       "      <td>Snack Foods</td>\n",
       "      <td>155.0340</td>\n",
       "      <td>OUT017</td>\n",
       "      <td>2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tier 2</td>\n",
       "      <td>Supermarket Type1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>FDY38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Regular</td>\n",
       "      <td>0.118599</td>\n",
       "      <td>Dairy</td>\n",
       "      <td>234.2300</td>\n",
       "      <td>OUT027</td>\n",
       "      <td>1985</td>\n",
       "      <td>Medium</td>\n",
       "      <td>Tier 3</td>\n",
       "      <td>Supermarket Type3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility    Item_Type  \\\n",
       "0           FDW58       20.750          Low Fat         0.007565  Snack Foods   \n",
       "1           FDW14        8.300              reg         0.038428        Dairy   \n",
       "2           NCN55       14.600          Low Fat         0.099575       Others   \n",
       "3           FDQ58        7.315          Low Fat         0.015388  Snack Foods   \n",
       "4           FDY38          NaN          Regular         0.118599        Dairy   \n",
       "\n",
       "   Item_MRP Outlet_Identifier  Outlet_Establishment_Year Outlet_Size  \\\n",
       "0  107.8622            OUT049                       1999      Medium   \n",
       "1   87.3198            OUT017                       2007         NaN   \n",
       "2  241.7538            OUT010                       1998         NaN   \n",
       "3  155.0340            OUT017                       2007         NaN   \n",
       "4  234.2300            OUT027                       1985      Medium   \n",
       "\n",
       "  Outlet_Location_Type        Outlet_Type  \n",
       "0               Tier 1  Supermarket Type1  \n",
       "1               Tier 2  Supermarket Type1  \n",
       "2               Tier 3      Grocery Store  \n",
       "3               Tier 2  Supermarket Type1  \n",
       "4               Tier 3  Supermarket Type3  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_file.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5681, 11)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_file.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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