Regression Deep Learning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import approperiate libraries and settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt \n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set(\n",
    "    font_scale=1.5,\n",
    "    style=\"whitegrid\",\n",
    "    rc={'figure.figsize':(20,7)}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of df is:  (1017209, 9)\n"
     ]
    },
    {
     "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>Store</th>\n",
       "      <th>DayOfWeek</th>\n",
       "      <th>Date</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Customers</th>\n",
       "      <th>Open</th>\n",
       "      <th>Promo</th>\n",
       "      <th>StateHoliday</th>\n",
       "      <th>SchoolHoliday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>5263</td>\n",
       "      <td>555</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>6064</td>\n",
       "      <td>625</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2015-07-31</td>\n",
       "      <td>8314</td>\n",
       "      <td>821</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Store  DayOfWeek        Date  Sales  Customers  Open  Promo StateHoliday  \\\n",
       "0      1          5  2015-07-31   5263        555     1      1            0   \n",
       "1      2          5  2015-07-31   6064        625     1      1            0   \n",
       "2      3          5  2015-07-31   8314        821     1      1            0   \n",
       "\n",
       "   SchoolHoliday  \n",
       "0              1  \n",
       "1              1  \n",
       "2              1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('train.csv', low_memory=False )\n",
    "print('Shape of df is: ', df.shape)\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1017209 entries, 0 to 1017208\n",
      "Data columns (total 9 columns):\n",
      "Store            1017209 non-null int64\n",
      "DayOfWeek        1017209 non-null int64\n",
      "Date             1017209 non-null object\n",
      "Sales            1017209 non-null int64\n",
      "Customers        1017209 non-null int64\n",
      "Open             1017209 non-null int64\n",
      "Promo            1017209 non-null int64\n",
      "StateHoliday     1017209 non-null object\n",
      "SchoolHoliday    1017209 non-null int64\n",
      "dtypes: int64(7), object(2)\n",
      "memory usage: 69.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Store</th>\n",
       "      <th>DayOfWeek</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Customers</th>\n",
       "      <th>Open</th>\n",
       "      <th>Promo</th>\n",
       "      <th>SchoolHoliday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.017209e+06</td>\n",
       "      <td>1.017209e+06</td>\n",
       "      <td>1.017209e+06</td>\n",
       "      <td>1.017209e+06</td>\n",
       "      <td>1.017209e+06</td>\n",
       "      <td>1.017209e+06</td>\n",
       "      <td>1.017209e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.584297e+02</td>\n",
       "      <td>3.998341e+00</td>\n",
       "      <td>5.773819e+03</td>\n",
       "      <td>6.331459e+02</td>\n",
       "      <td>8.301067e-01</td>\n",
       "      <td>3.815145e-01</td>\n",
       "      <td>1.786467e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.219087e+02</td>\n",
       "      <td>1.997391e+00</td>\n",
       "      <td>3.849926e+03</td>\n",
       "      <td>4.644117e+02</td>\n",
       "      <td>3.755392e-01</td>\n",
       "      <td>4.857586e-01</td>\n",
       "      <td>3.830564e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.800000e+02</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>3.727000e+03</td>\n",
       "      <td>4.050000e+02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.580000e+02</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>5.744000e+03</td>\n",
       "      <td>6.090000e+02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.380000e+02</td>\n",
       "      <td>6.000000e+00</td>\n",
       "      <td>7.856000e+03</td>\n",
       "      <td>8.370000e+02</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.115000e+03</td>\n",
       "      <td>7.000000e+00</td>\n",
       "      <td>4.155100e+04</td>\n",
       "      <td>7.388000e+03</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Store     DayOfWeek         Sales     Customers          Open  \\\n",
       "count  1.017209e+06  1.017209e+06  1.017209e+06  1.017209e+06  1.017209e+06   \n",
       "mean   5.584297e+02  3.998341e+00  5.773819e+03  6.331459e+02  8.301067e-01   \n",
       "std    3.219087e+02  1.997391e+00  3.849926e+03  4.644117e+02  3.755392e-01   \n",
       "min    1.000000e+00  1.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    2.800000e+02  2.000000e+00  3.727000e+03  4.050000e+02  1.000000e+00   \n",
       "50%    5.580000e+02  4.000000e+00  5.744000e+03  6.090000e+02  1.000000e+00   \n",
       "75%    8.380000e+02  6.000000e+00  7.856000e+03  8.370000e+02  1.000000e+00   \n",
       "max    1.115000e+03  7.000000e+00  4.155100e+04  7.388000e+03  1.000000e+00   \n",
       "\n",
       "              Promo  SchoolHoliday  \n",
       "count  1.017209e+06   1.017209e+06  \n",
       "mean   3.815145e-01   1.786467e-01  \n",
       "std    4.857586e-01   3.830564e-01  \n",
       "min    0.000000e+00   0.000000e+00  \n",
       "25%    0.000000e+00   0.000000e+00  \n",
       "50%    0.000000e+00   0.000000e+00  \n",
       "75%    1.000000e+00   0.000000e+00  \n",
       "max    1.000000e+00   1.000000e+00  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Store', 'DayOfWeek', 'Date', 'Sales', 'Customers', 'Open', 'Promo',\n",
       "       'StateHoliday', 'SchoolHoliday'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=1017209, step=1)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "store = pd.read_csv('store.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>Store</th>\n",
       "      <th>StoreType</th>\n",
       "      <th>Assortment</th>\n",
       "      <th>CompetitionDistance</th>\n",
       "      <th>CompetitionOpenSinceMonth</th>\n",
       "      <th>CompetitionOpenSinceYear</th>\n",
       "      <th>Promo2</th>\n",
       "      <th>Promo2SinceWeek</th>\n",
       "      <th>Promo2SinceYear</th>\n",
       "      <th>PromoInterval</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2008.0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>570.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Jan,Apr,Jul,Oct</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Store StoreType Assortment  CompetitionDistance  CompetitionOpenSinceMonth  \\\n",
       "0      1         c          a               1270.0                        9.0   \n",
       "1      2         a          a                570.0                       11.0   \n",
       "\n",
       "   CompetitionOpenSinceYear  Promo2  Promo2SinceWeek  Promo2SinceYear  \\\n",
       "0                    2008.0       0              NaN              NaN   \n",
       "1                    2007.0       1             13.0           2010.0   \n",
       "\n",
       "     PromoInterval  \n",
       "0              NaN  \n",
       "1  Jan,Apr,Jul,Oct  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Store                          0\n",
       "StoreType                      0\n",
       "Assortment                     0\n",
       "CompetitionDistance            3\n",
       "CompetitionOpenSinceMonth    354\n",
       "CompetitionOpenSinceYear     354\n",
       "Promo2                         0\n",
       "Promo2SinceWeek              544\n",
       "Promo2SinceYear              544\n",
       "PromoInterval                544\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['c', 'a', 'd', 'b'], dtype=object)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store['StoreType'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new = df.merge(store,on=[\"Store\"], how=\"inner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1115"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_new['Store'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5    145845\n",
       "4    145845\n",
       "3    145665\n",
       "2    145664\n",
       "7    144730\n",
       "6    144730\n",
       "1    144730\n",
       "Name: DayOfWeek, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new['DayOfWeek'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Date feature\n",
    "\n",
    "df_new['Date'] = pd.to_datetime(df['Date'], infer_datetime_format = True)\n",
    "df_new['Month']=df_new['Date'].dt.month\n",
    "df_new['Quarter']=df_new['Date'].dt.quarter\n",
    "df_new['Year']=df_new['Date'].dt.year\n",
    "df_new['Day']=df_new['Date'].dt.day\n",
    "df_new['Week']=df_new['Date'].dt.week\n",
    "\n",
    "df_new[\"Season\"] = np.where(df_new[\"Month\"].isin([3,4,5]),\"Spring\",\n",
    "np.where(df_new[\"Month\"].isin([6,7,8]),\n",
    "\"Summer\",\n",
    "np.where(df_new[\"Month\"].isin\n",
    "([9,10,11]),\"Fall\",\n",
    "np.where(df_new[\"Month\"].isin\n",
    "([12,1,2]),\"Winter\",\"None\"))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Import matplotlib, python most popular data visualizing library\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "#Create a histogram to study the Daily Sales for the stores\n",
    "plt.figure(figsize=(15,8))\n",
    "plt.hist(df_new[\"Sales\"])\n",
    "plt.title(\"Histogram for Store Sales\")\n",
    "plt.xlabel(\"bins\")\n",
    "plt.xlabel(\"Frequency\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Use the histogram function provided by the Pandas object\n",
    "#The function returns a cross-tab histogram plot for all numeric columns in the data\n",
    "df_new.hist(figsize=(20,10))\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Store                         0.000000\n",
      "DayOfWeek                     0.000000\n",
      "Date                          0.000000\n",
      "Sales                         0.000000\n",
      "Customers                     0.000000\n",
      "Open                          0.000000\n",
      "Promo                         0.000000\n",
      "StateHoliday                  0.000000\n",
      "SchoolHoliday                 0.000000\n",
      "StoreType                     0.000000\n",
      "Assortment                    0.000000\n",
      "CompetitionDistance           0.259730\n",
      "CompetitionOpenSinceMonth    31.787764\n",
      "CompetitionOpenSinceYear     31.787764\n",
      "Promo2                        0.000000\n",
      "Promo2SinceWeek              49.943620\n",
      "Promo2SinceYear              49.943620\n",
      "PromoInterval                49.943620\n",
      "Month                         0.000000\n",
      "Quarter                       0.000000\n",
      "Year                          0.000000\n",
      "Day                           0.000000\n",
      "Week                          0.000000\n",
      "Season                        0.000000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print((df_new.isnull().sum()/df_new.shape[0])*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The percentage of the missing values in the store 1 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 2 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 3 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 4 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 5 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 6 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 7 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 8 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 9 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 10 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 11 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 12 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 13 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 14 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 15 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 16 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 17 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 18 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 19 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 20 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 21 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 22 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 23 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 24 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 25 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 26 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 27 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 28 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 29 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 30 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 31 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 32 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 33 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 34 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 35 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 36 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 37 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 38 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 39 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 40 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 41 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 42 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 43 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 44 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 45 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 46 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 47 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 48 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 49 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 50 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 51 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 52 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 53 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 54 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 55 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 56 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 57 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 58 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 59 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 60 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 61 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 62 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 63 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 64 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 65 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 66 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 67 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 68 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 69 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 70 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 71 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 72 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 73 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 74 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 75 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 76 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 77 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 78 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 79 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 80 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 81 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 82 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 83 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 84 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 85 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 86 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 87 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 88 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 89 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 90 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 91 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 92 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 93 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 94 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 95 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 96 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 97 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 98 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 99 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 100 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 101 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 102 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 103 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 104 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 105 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 106 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 107 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 108 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 109 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 110 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 111 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 112 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 113 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 114 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 115 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 116 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 117 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 118 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 119 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 120 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 121 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 122 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 123 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 124 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 125 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 126 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 127 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 128 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 129 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 130 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 131 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 132 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 133 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 134 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 135 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 136 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 137 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 138 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 139 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 140 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 141 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 142 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 143 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 144 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 145 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 146 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 147 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 148 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 149 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 150 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 151 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 152 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 153 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 154 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 155 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 156 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 157 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 158 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 159 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 160 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 161 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 162 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 163 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 164 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 165 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 166 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 167 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 168 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 169 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 170 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 171 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 172 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 173 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 174 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 175 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 176 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 177 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 178 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 179 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 180 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 181 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 182 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 183 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 184 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 185 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 186 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 187 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 188 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 189 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 190 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 191 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 192 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 193 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 194 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 195 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 196 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 197 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 198 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 199 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 200 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 201 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 202 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 203 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 204 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 205 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 206 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 207 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 208 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 209 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 210 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 211 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 212 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 213 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 214 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 215 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 216 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 217 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 218 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 219 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 220 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 221 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 222 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 223 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 224 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 225 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 226 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 227 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 228 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 229 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 230 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 231 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 232 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 233 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 234 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 235 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 236 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 237 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 238 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 239 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 240 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 241 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 242 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 243 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 244 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 245 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 246 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 247 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 248 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 249 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 250 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 251 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 252 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 253 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 254 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 255 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 256 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 257 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 258 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 259 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 260 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 261 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 262 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 263 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 264 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 265 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 266 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 267 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 268 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 269 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 270 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 271 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 272 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 273 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 274 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 275 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 276 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 277 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 278 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 279 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 280 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 281 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 282 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 283 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 284 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 285 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 286 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 287 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 288 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 289 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 290 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 291 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance          100.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 292 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 293 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 294 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 295 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 296 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 297 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 298 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 299 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 300 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 301 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 302 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 303 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 304 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 305 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 306 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 307 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 308 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 309 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 310 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 311 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 312 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 313 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 314 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 315 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 316 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 317 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 318 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 319 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 320 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 321 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 322 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 323 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 324 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 325 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 326 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 327 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 328 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 329 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 330 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 331 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 332 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 333 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 334 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 335 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 336 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 337 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 338 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 339 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 340 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 341 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 342 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 343 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 344 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 345 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 346 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 347 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 348 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 349 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 350 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 351 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 352 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 353 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 354 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 355 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 356 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 357 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 358 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 359 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 360 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 361 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 362 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 363 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 364 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 365 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 366 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 367 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 368 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 369 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 370 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 371 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 372 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 373 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 374 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 375 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 376 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 377 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 378 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 379 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 380 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 381 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 382 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 383 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 384 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 385 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 386 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 387 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 388 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 389 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 390 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 391 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 392 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 393 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 394 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 395 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 396 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 397 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 398 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 399 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 400 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 401 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 402 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 403 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 404 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 405 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 406 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 407 is: \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 408 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 409 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 410 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 411 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 412 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 413 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 414 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 415 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 416 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 417 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 418 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 419 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 420 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 421 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 422 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 423 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 424 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 425 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 426 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 427 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 428 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 429 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 430 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 431 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 432 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 433 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 434 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 435 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 436 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 437 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 438 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 439 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 440 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 441 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 442 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 443 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 444 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 445 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 446 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 447 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 448 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 449 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 450 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 451 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 452 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 453 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 454 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 455 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 456 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 457 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 458 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 459 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 460 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 461 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 462 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 463 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 464 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 465 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 466 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 467 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 468 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 469 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 470 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 471 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 472 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 473 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 474 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 475 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 476 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 477 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 478 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 479 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 480 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 481 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 482 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 483 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 484 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 485 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 486 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 487 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 488 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 489 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 490 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 491 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 492 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 493 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 494 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 495 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 496 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 497 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 498 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 499 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 500 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 501 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 502 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 503 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 504 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 505 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 506 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 507 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 508 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 509 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 510 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 511 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 512 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 513 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 514 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 515 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 516 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 517 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 518 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 519 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 520 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 521 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 522 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 523 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 524 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 525 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 526 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 527 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 528 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 529 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 530 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 531 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 532 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 533 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 534 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 535 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 536 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 537 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 538 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 539 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 540 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 541 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 542 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 543 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 544 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 545 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 546 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 547 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 548 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 549 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 550 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 551 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 552 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 553 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 554 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 555 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 556 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 557 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 558 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 559 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 560 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 561 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 562 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 563 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 564 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 565 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 566 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 567 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 568 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 569 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 570 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 571 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 572 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 573 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 574 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 575 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 576 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 577 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 578 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 579 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 580 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 581 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 582 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 583 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 584 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 585 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 586 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 587 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 588 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 589 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 590 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 591 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 592 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 593 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 594 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 595 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 596 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 597 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 598 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 599 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 600 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 601 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 602 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 603 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 604 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 605 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 606 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 607 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 608 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 609 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 610 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 611 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 612 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 613 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 614 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 615 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 616 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 617 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 618 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 619 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 620 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 621 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 622 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance          100.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 623 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 624 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 625 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 626 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 627 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 628 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 629 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 630 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 631 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 632 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 633 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 634 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 635 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 636 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 637 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 638 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 639 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 640 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 641 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 642 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 643 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 644 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 645 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 646 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 647 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 648 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 649 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 650 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 651 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 652 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 653 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 654 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 655 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 656 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 657 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 658 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 659 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 660 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 661 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 662 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 663 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 664 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 665 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 666 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 667 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The percentage of the missing values in the store 668 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 669 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 670 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 671 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 672 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 673 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 674 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 675 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 676 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 677 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 678 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 679 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 680 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 681 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 682 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 683 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 684 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 685 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 686 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 687 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 688 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 689 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 690 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 691 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 692 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 693 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 694 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 695 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 696 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 697 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 698 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 699 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 700 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 701 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 702 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 703 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 704 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 705 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 706 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 707 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 708 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 709 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 710 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 711 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 712 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 713 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 714 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 715 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 716 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 717 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 718 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 719 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 720 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 721 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 722 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 723 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 724 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 725 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 726 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 727 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 728 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 729 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 730 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 731 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 732 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 733 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 734 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 735 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 736 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 737 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 738 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 739 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 740 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 741 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 742 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 743 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 744 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 745 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 746 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 747 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The percentage of the missing values in the store 748 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 749 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 750 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 751 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 752 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 753 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 754 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 755 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 756 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 757 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 758 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 759 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 760 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 761 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 762 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 763 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 764 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 765 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 766 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 767 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 768 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 769 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 770 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 771 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 772 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 773 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 774 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 775 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 776 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 777 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 778 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 779 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 780 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 781 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 782 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 783 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 784 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 785 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 786 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 787 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 788 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 789 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 790 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 791 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 792 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 793 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 794 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 795 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 796 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 797 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 798 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 799 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 800 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 801 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 802 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 803 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 804 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 805 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 806 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 807 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 808 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 809 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 810 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 811 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 812 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 813 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 814 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 815 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 816 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 817 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 818 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 819 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 820 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 821 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 822 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 823 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 824 is: \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 825 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 826 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 827 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 828 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 829 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 830 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 831 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 832 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 833 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 834 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 835 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 836 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 837 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 838 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 839 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 840 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 841 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 842 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 843 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 844 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 845 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 846 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 847 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 848 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 849 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 850 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 851 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 852 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 853 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 854 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 855 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 856 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 857 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 858 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 859 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 860 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 861 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 862 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 863 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 864 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 865 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 866 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 867 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 868 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 869 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 870 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 871 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 872 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 873 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 874 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 875 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 876 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 877 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 878 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 879 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance          100.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 880 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 881 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 882 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 883 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 884 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 885 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 886 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 887 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 888 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 889 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 890 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 891 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 892 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 893 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 894 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 895 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 896 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 897 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 898 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 899 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 900 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 901 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 902 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 903 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 904 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 905 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 906 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 907 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 908 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 909 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 910 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 911 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 912 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 913 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 914 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 915 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 916 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 917 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 918 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 919 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 920 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 921 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 922 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 923 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 924 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 925 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 926 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 927 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 928 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 929 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 930 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 931 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 932 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 933 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 934 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 935 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 936 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 937 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 938 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 939 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 940 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 941 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 942 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 943 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 944 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 945 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 946 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 947 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 948 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 949 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 950 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 951 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 952 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 953 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 954 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 955 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 956 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 957 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 958 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 959 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 960 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 961 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 962 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 963 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 964 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 965 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 966 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 967 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 968 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 969 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 970 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 971 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 972 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 973 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 974 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 975 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 976 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 977 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 978 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 979 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 980 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 981 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 982 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 983 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 984 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 985 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 986 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 987 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 988 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 989 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 990 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 991 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 992 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 993 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 994 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 995 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 996 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 997 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 998 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 999 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1000 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1001 is: \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1002 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1003 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1004 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1005 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1006 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1007 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1008 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1009 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1010 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1011 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1012 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1013 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1014 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1015 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1016 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1017 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1018 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1019 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1020 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1021 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1022 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1023 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1024 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1025 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1026 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1027 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 1028 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1029 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1030 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1031 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1032 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1033 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1034 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1035 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1036 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1037 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1038 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1039 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1040 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1041 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1042 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1043 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1044 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1045 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1046 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1047 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1048 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1049 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1050 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1051 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1052 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1053 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 1054 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1055 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1056 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1057 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1058 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1059 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1060 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1061 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1062 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1063 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1064 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1065 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1066 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1067 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1068 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1069 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1070 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1071 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1072 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1073 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1074 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1075 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1076 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1077 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1078 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dtype: float64\n",
      "The percentage of the missing values in the store 1079 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1080 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1081 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1082 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1083 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1084 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1085 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1086 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1087 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1088 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1089 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1090 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1091 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1092 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1093 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1094 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1095 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1096 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1097 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1098 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1099 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1100 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek                0.0\n",
      "Promo2SinceYear                0.0\n",
      "PromoInterval                  0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1101 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1102 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1103 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The percentage of the missing values in the store 1104 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1105 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1106 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1107 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1108 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1109 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1110 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1111 is: \n",
      "Store                        0.0\n",
      "CompetitionDistance          0.0\n",
      "CompetitionOpenSinceMonth    0.0\n",
      "CompetitionOpenSinceYear     0.0\n",
      "Promo2                       0.0\n",
      "Promo2SinceWeek              0.0\n",
      "Promo2SinceYear              0.0\n",
      "PromoInterval                0.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1112 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth      0.0\n",
      "CompetitionOpenSinceYear       0.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1113 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n",
      "The percentage of the missing values in the store 1114 is: \n",
      "Store                          0.0\n",
      "CompetitionDistance            0.0\n",
      "CompetitionOpenSinceMonth    100.0\n",
      "CompetitionOpenSinceYear     100.0\n",
      "Promo2                         0.0\n",
      "Promo2SinceWeek              100.0\n",
      "Promo2SinceYear              100.0\n",
      "PromoInterval                100.0\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "df_new_missing = df_new[['Store' ,'CompetitionDistance', 'CompetitionOpenSinceMonth',\n",
    "       'CompetitionOpenSinceYear', 'Promo2', 'Promo2SinceWeek',\n",
    "       'Promo2SinceYear', 'PromoInterval']]\n",
    "\n",
    "for i in range(1, len(df_new_missing['Store'].unique())):\n",
    "    print('The percentage of the missing values in the store',i,'is: ')\n",
    "    print((df_new_missing[df_new_missing['Store']==i].isnull().sum()/df_new_missing[df_new_missing['Store']==i].shape[0])*100)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.heatmap(df_new_missing.isnull())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Replace nulls with the mode\n",
    "df_new[\"CompetitionDistance\"]=df_new[\"CompetitionDistance\"].fillna(df_new[\"CompetitionDistance\"].mode()[0])\n",
    "#Double check if we still see nulls for the column\n",
    "df_new[\"CompetitionDistance\"].isnull().sum()/df_new.shape[0] * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hkfQ9gYXtzZSIiNS2loLTq8CORduOIJr0Hmwk/X7pGBERkTZrqSv5aOAHZvYw0VX8VOBzwLvA77IJzex4YBBwfgXyKSIiNaSl4HQNURu6l6gt1RETv369MNjWzI4ATgP2Ahz4SaUyKyIitaHZZr0UgPYBTgBuIKYo+qK7P5xJVg/sDtwBDCj06hMREWmrFmeIcPclwF3p0ZhLgR+4+9JyZkxERGpXyXPrFXN39c4TEZGyKnU9JxERkYpTcBIRkdxRcBIRkdxRcBIRkdxRcBIRkdxRcBIRkdxRcBIRkdxRcBIRkdxp9yDc9jCzNYBvAd8BPktMKHs/cIG7L0hpdiIWNdwJmE8saHiBu3+cOc9WxDyAA4glPn4NjCicI6XZmOVzBXYBxgHfc/d/VvZTiohIqapdcxoBXA88BBwOXA18jQgumFk/YCLwEbEq79XAMDKTy5pZL2ASsDFwInAOcBxwdyZNZ+BRYBfg2+mxO/BI2iciIjlStS9mM6sjgtMv3P2ctHmCmc0FRpvZjsRs5/OAw9IktOPMbCFwnZld5u7vAEOBXsCO7j43nXtmSruLuz9DBKv/ArZz9+kpzQvANOAo4J5V9LFFRKQVqllzWpeYybx4QtmX03NfYn2oBwrLcyRjiRV6B6XXg4DHC4EpGQ8sAA7MpHmpEJgA3P0lYHomjYiI5ETVak7uPh84o5Fdh6fn6cDmxBpR2eNmm9l8wNKmbYggl02zxMxeL0qzwnmSVzNpREQkJ6p9z2kFZrYLMBK4D3g/bZ7fSNIFQI/0c88ypRERkZzITWcAM9sdeBB4HfgG0C3tWtZI8jpgaebncqRplWnTpjW7v76+vpTTdXhTp05t87EqyxW1pyxB5VlM5Vle7S3PYrkITmY2mOgi/gqwv7vPNbN10u7GajbrEB0lSM+NpVkXeKMVaeY1sr1J22+/Pd26dWs5oQD6By4nlWV5qTzLq6nybGhoaPGivjFVb9Yzs2FEt++ngT3dfRaAu38AvAP0K0q/ERFoCveQvJE0nYA+zaVJ+tH4vSgREamiqgYnMzuFGLs0hqgxFddixgOHmFnXzLajgCXA5EyagWbWO5NmEFG7mpBJs72ZfdL5wcy2IzpKTEBERHKlmuOcNgKuBd4kBuJ+MRM7IHrSXQEMIcYs/RTYGrgUuMnd30rpbgBOByaa2YXA+um4h939qZTmHuD7xKDbc4h7TZcT45zGVOxDiohIm1Sz5rQ/sDawJfAE0ayXfezv7i+zvBY0lpgd4hrgzMJJ3H0OMBCYC9wJXEIEnMGZNA3AvsDzwM1EMHwK2M/dF1fyQ4qISOmqOc7pNuC2VqR7AujfQpppwD4tpHkbOLKUPIqISHVUvUOEiIhIMQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJHQUnERHJnc7VzsCqZGZDgPOAzwJvAJe5+21VzZSIiKykZmpOZnYMcCcwHjgcmAz8ysyOrma+RERkZbVUc7oMGOPu30uvHzWz3sBFwNjqZUtERIrVRM3JzD4L9AV+U7RrLLCNmfVZ9bkSEZGm1ErNaZv07EXbX03PBrzewjk6ASxatKjFN+vdc51S8tZhNTQ0tPscvbp3LUNOVn/lKEuAdbvVxPVoi8pVnmt2KstpVnvNlWfmO7Ok0qpbtmxZO7K0ekgdIe4C+rj7G5nt/YAZwGB3H9PcOaZOnboH8EQl8yki0oENqK+vf7K1iWul5lSXnosjcWH70lac48/AAGAWsKRM+RIR6eg6AZsQ36GtVivBaV567lG0fd2i/U2qr69vAFod9UVE5BN/L/WAWmmALtxr6le0vV/RfhERyYGaCE7u/irR4aF4TNNRwAx3f2vV50pERJpSK816ABcCt5rZ+8CDwKHAscBxVc2ViIispCZ66xWY2anAWcDmwGvE9EW3VzdXIiJSrKaCk4iIrB5q4p6TiIisXhScRCQXzKyu5VRSK2qpQ0TVmNkOwLnAXkBvYC7wB+BSd/9LFbPW4VS6rM1sGXC+u1/c3nPllZn9GtjL3Tcs2r4P8Bgwy903Ldp3GHAfMBD4PTDA3Vs1LtDMuhITMz9HrBxQs8xsFPC1ZpLs6+4TWnGeycBid9/HzD5D9Fb+qrvfUY58rgqqOVWYmX0eeBroBZwG7Et0yugDTDGz/lXMXoeyisp6V+DWMpwnzyYCG5iZFW0fRAT7TVJZZw0AFhIBZleglAuBjYBhQJe2ZbfDmUmUYWOPP1UxX6uUak6V913gXeBAd/9k2iMzux94GTgfOKhKeetoKl7W7j6lXTlcPUxMz7ux4gD1/YD/A76Zfv5rZt8A4HF3nw/UQhlVUkON/J01S8Gp8jYm5vBbg8ycfO7+gZl9F+gOYGZvABPc/RuFNGZ2EnGVvrm7z0xV/g2Ah4HhxBXnE0QzwIFEc9bGxJfDNwqT3KZz35L2HZ/ycgcwAvgRcHLK473Aae7+n3TcWsT4sCHpfacDF7j77zJ5fINYiuSLQD1wi7sPa0d5tUdry3oyMSP9W8DpxP/BI8Dp7j4npRkFbEqsmDwYeBHYnZiH8Xx3v9jM9iKasPYmyn43YD4wCji3ECDNrCfwE2JsXRfgHmAO8N/u/pnyF0P7uPsMM3uL+Ly3ApjZp4AdgP8hZlbZD7gy7etO/P5HZMpkgLs/aWY/JMYSjgAuAbYmyvQid78j0+QEMQ7xh4UyMbM9gYuBnYha2b3AcHf/d9p/EvBz4Ezi77SBaI58rQLFkhupvH8AHAlsQXzup4my+Wtzx65O1KxXeQ8TzUpPmdl3zKywfAfuPtbdf1Xi+fYkgslpwFDgy8SqvmcQXxxnAP2B64qOGwGsDxwD/CId+xzxx3088U9+StpeuDn9W+BbxJfQ4cALwH3p/kLWGcDUdO7RJX6eciqlrI8igu6pRJPSvsAjZpb9nxgIbAkcQdyzamrcxd3E7+AgYvb7s4GTMvvvJwLTSOAEYLv0nnk2iQi2BYOAj4iLofHAHma2dtrXnwjwjzVxrs2Aa4kAfRARnG4zs62IiZQPTekuJsq6EJgmAAuIv6vh6dhHzSx7Ud2V+Ns+GTivowQmM+vcyKPQYeR24oL0UuL3Moy4cLirI3UqUc2p8n4GfIoIHD8DMLPZwKPAte5e0ky9xGS1x7j76+lcRwIHA30L/5hm9gXiizdrDnCCuy81s98TX8pdgePdfTHxT38o0a4NsA+wP3C0uxcWaXzEzNYjgtX9mXO/TVy1VXvQXCllvTYwyN3fzqR7ADgAeCil6Qycml1mpQm/yHSQ+L2ZHU78Tv7PzPYmLiAOdveH0ntNouX1w6ptIvA1M+vt7u8RX4J/cPcGMxsPdCM6nYwjmvT+6e7TUs2pWHfgEHf/PYCZvQK8STS//q+ZPZ/S/d3dCz9fBryUjluajnueuKAazPKOE3VELWxcGT97tfUFPm5k+7dTjX5tooWjsIL342bWA7iaaOGYvUpyWWGqOVWYuy9z9/OIKeOHEG32C4gr6GfMbGiJp/xXITAl7wKzi64Y5wLrFR3358I/eXqeAzybAlNjx32FaBp7OHv1BvwO2Co1xxS8mIPAVGpZP1kITMlDRPPIgMy2D1oRmAD+WPR6JqkJkWjy+w/xJV7I54csD4B5NZH44t81XY3vS9SYSH9/fycuYCBq803VmgqyZTQzPXdvLGGqkfUnphlbI/O3N40IavsWHfK31nyg1chMYOdGHr9x9/+4+/7uPtbMPm1mA9PMNwenYzvM6pyqOa0iqZ18dHoUaje3A1eZ2V0lnGpBI9sWVuC49Yl1WD5sYn/hfgxEgMyNVpb1P4qOWZZqT70ym1v7uYrLcSnLL/w2BOY0Erz/2cpzV4W7zzKz6UTT3j+I+5vjM0nGAwPNrAuwC833YFzi7p8sh5pq79D0xXGvtO/c9Cg2o+h1rv7+yqDB3Z9taqeZ7Qf8lFjhewHRM/KDtLvDNOup5lRBZraZmf3DzE4p3peaL84D1iTukyxj5WWMq7ne+7z0aOwKbmdydrVaYllDBN/s8XXEF/C/ypy1d4ANG7kXsFGZ36cSJhKBZ1/gHXd/MbNvPPB5oslybeL+ULnMJ/4frqTxv73Ty/heqxUz60uMJ3uOaMrv4e4DiCbpDkXBqbIKq+YONbM1G9lvxE3mvxP/kJsX7d+jstlr1uNAT2Ig37OFB/FldR4rrypcbaWUNcDu6f5ZwSFEk8ikMufrD8T9mf0+yYhZN+J+Xt5NJHpgNtZsN4moIX4LmObus9rxPiusLO3uC4Dnga2L/vZeIXr81fLYwHriIuvSoqb8A9Jzh/lOV7NeBbn7knSf47fAs2Z2PdEde23iBvNpwDnuPs/MHgTOMbORwDNED6a9q5R1iHsifwQeMLOLiC+G3YELgLvc/YPmDl7VSixriI4lD5nZZUQnisuBxwo37cuYr8mpA8qvzOz7RHPed9N7vlnO96qAyUQ57cuKvQ9x9/lm9ieiF+f17XyfQk3pK2Y23d2fIS6AHkwdAEYTAX4ky7uz16rngMXAFWb2EyJQnczy8XuN3sdbHXWYKJtXaUzQLsTN3HOJ5pDRwI7Ase5+VUp6KTEWaQTR6WATomt3VaROEwcQY5guIHq8nUxcuX6zWvlqTgllDfHF+3tivNdlRHfwwyuUtWNSXq4hepm9QgTRXAX4Yune3XPE2KzGOjyMT/va1aSXOogUupGPM7PO7v4wUbvsR5TVrUQz817uPq0977c6SwunDiGGODxADAuB6Dm5jBU79KzWtGSG1JzsvGOr4L22JJqh7nP3hsz2PwEz3f3ISudBZHWkZj2RyvsVMMbMbiN6Ux1LzHowsqq5EskxNeuJVJC7v0l0tuhDNJHeC2wLHODu5e58IdJhqFlPRERyRzUnERHJHQUnERHJHQUnERHJHfXWE6mQNBPE94hxKf2ImRBmAGOA/y2smyUiK1OHCJEKSLNoP0YsQXIbsRZWZ2KQ5FHE4nB7Z8c+ichyqjmJVMaxxKj9o9z9t5nt15rZcOAK4OvAjVXIm0ju6Z6TSGUUVpEd38i+nxGLye3ayD4RQTUnkUoprJ91KrFC6SfcfaGZrZNd48jMtiPmLRxIzI7+PHChuz+aPdbMjiaWjNgRWItYkuPXwPmFJsJ0r+vHxOTBnyaWAfkdsYz5+5lzbUnMabc/McGrA9e7+82ZNKOI6Ze+ClxFLFmxALgHONvdP2pb8Yg0TzUnkcq4A1hELHA4zcwuMrO9UuCgKDDtQNyD2o6YAPhcYkLVcWY2OJPuG0Qg+jdwNnAWMbP5cFacCul6YnLe0cB3gLHE0hb3ZM7VB/gzcBhwczrHe8BNZnZF0WcpLDT4MnAmMVv96cCP2lg2Ii1ShwiRCjGzg4BfsuLCgh8StZgfuvsrKd1kYDPgv9IM3YUOFZOArYEt3H1RWpn2fWD3wsq6Kd3rwPvu/vm0bSHwS3c/LZOXi4ga0kB3/8DMRhOzpe/s7s+lNGsA9xPLL+zg7i+mmtPXgDPc/brM+V4Cerr7p8tWYCIZqjmJVIi7P0QsbTCYWCZ+FrHezhDgL2b2ZTNbn1hNdhywlpltYGYbAOsR8/BtTDSlQaw8e2DRku8bEQEru2ryTGCwmZ1UWFDR3c93951TYOpEBKBHC4EppVlKNC3WEU2CWWOKXv8l5U2kInTPSaSC0limMemBmX2RaI4bAvycqJVANJM1tfz4FsAf3f1jM9vJzIYA2xBjpwq1suzChd9O73crcLPvQGtHAAACQUlEQVSZPU0Eul+6+zxgAyKYeSPvNT09b1m0fXbR6wagUxP5FWk3BSeRMjOz7sD3galF3chJNZX/TjWaA4h7SxA9+O5r4pQvpvNeRtxbep64R3U78BRxj2mLzHtMNLMtiNnQDyZWAr4G+J6Z1RM1o6YUWlMWZTemWpXIKqPgJFJ+/yFqR08Rq7g25kXiHtAb6fVid19hRdnUg68PsDD1rBsJ3O7uJxal+1Tm525ET76Z7j4aGJ3uJQ0DrgSOA24g7n1t00i+LD2/3apPKlIhuuckUmbuvoToGbeXmZ1QvN/MegNHAxPc/R3gWeAkM9s0k6YL0ZliLHER2TvteqnoXAcCW7H8QrM3Uas6J5OfpUTPPIAlKX8PA4NSM2PhXHVEL8BlwENt+vAiZaKak0hlDAO+BNyeAtSjwDziPtFJxFimoSntGUTPvKlmdgMwl7gntQtwjrvPNbMPgLeA75vZmkSnhy+lc/2HGKeEu88yszuB76TmxaeA9YHTgHdZ3rFhJLA3MNnMriM6axyRtl3j7isEQZFVTTUnkQpw9zlAPXA+ERx+QExVNIRo6tvB3WektE8DuxM1qP8hmt+6Aye5++UpTQNwIFErOpMYEFuffj4b6JHuJ0GMabqImKXiWqKJ8Y/AHilfuPvfieA3Dvh/xHRK6wGnuPv/VKRQREqgcU4iIpI7qjmJiEjuKDiJiEjuKDiJiEjuKDiJiEjuKDiJiEjuKDiJiEjuKDiJiEjuKDiJiEjuKDiJiEjuKDiJiEju/H/O7zdcgwQMgQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create the bar plot for Average Sales across different Seasons\n",
    "ax = sns.barplot(x=\"Season\", y=\"Sales\", data=df_new,  palette=\"Blues_d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Create the bar plot for Average Sales across different Assortments\n",
    "ax = sns.barplot(x=\"Assortment\", y=\"Sales\", data=df_new,  palette=\"BuGn_r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create the bar plot for Average Sales across different Store Types\n",
    "ax = sns.barplot(x=\"StoreType\", y=\"Sales\", data=df_new, palette=\"Blues_d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax = sns.barplot(x=\"Season\", y=\"Sales\", data=df_new,\n",
    "estimator=np.size, palette=\"GnBu_d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax = sns.barplot(x=\"Assortment\", y=\"Sales\", data=df_new,\n",
    "estimator=np.size, palette=\"Blues_d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax = sns.barplot(x=\"StoreType\", y=\"Sales\", data=df_new,\n",
    "estimator=np.size, palette=\"Blues_d\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Define a variable for each type of feature\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "target = [\"Sales\"]\n",
    "numeric_columns = [\"Customers\",\"Open\",\"Promo\",\"Promo2\",\n",
    "\"StateHoliday\",\"SchoolHoliday\",\"CompetitionDistance\"]\n",
    "categorical_columns = [\"DayOfWeek\",\"Quarter\",\"Month\",\"Year\",\n",
    "\"StoreType\",\"Assortment\",\"Season\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Define a function that will intake the raw dataframe and the column name and return a one hot encoded DF\n",
    "def create_ohe(df, col):\n",
    "    le = LabelEncoder()\n",
    "    a=le.fit_transform(df_new[col]).reshape(-1,1)\n",
    "    ohe = OneHotEncoder(sparse=False)\n",
    "    column_names = [col+ \"_\"+ str(i) for i in le.classes_]\n",
    "    \n",
    "    return(pd.DataFrame(ohe.fit_transform(a),columns =column_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Since the above function converts the column, one at a time\n",
    "#We create a loop to create the final dataset with all features\n",
    "temp = df_new[numeric_columns]\n",
    "\n",
    "for column in categorical_columns:\n",
    "    temp_df = create_ohe(df_new,column)\n",
    "    temp = pd.concat([temp,temp_df],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of Data: (1017209, 44)\n",
      "Distinct Datatypes: [dtype('int64') dtype('O') dtype('float64')]\n"
     ]
    }
   ],
   "source": [
    "print(\"Shape of Data:\",temp.shape)\n",
    "print(\"Distinct Datatypes:\",temp.dtypes.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([dtype('int64'), dtype('int32'), dtype('float64')], dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp[\"StateHoliday\"]= np.where(temp[\"StateHoliday\"]== '0',0,1)\n",
    "#One last check of the data type\n",
    "temp.dtypes.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "#Create train and test dataset with an 80:20 split\n",
    "x_train, x_test, y_train, y_test = train_test_split(temp,\n",
    "df_new[target],test_size=0.2,random_state=2018)\n",
    "#Further divide training dataset into train and validation dataset with an 90:10 split\n",
    "x_train, x_val, y_train, y_val = train_test_split(x_train, y_train,test_size=0.1,random_state=2018)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of x_train: (732390, 44)\n",
      "Shape of x_val: (81377, 44)\n",
      "Shape of x_test: (203442, 44)\n",
      "Shape of y_train: (732390, 1)\n",
      "Shape of y_val: (81377, 1)\n",
      "Shape of y_test: (203442, 1)\n"
     ]
    }
   ],
   "source": [
    "#Check the sizes of all newly created datasets\n",
    "print(\"Shape of x_train:\",x_train.shape)\n",
    "print(\"Shape of x_val:\",x_val.shape)\n",
    "print(\"Shape of x_test:\",x_test.shape)\n",
    "print(\"Shape of y_train:\",y_train.shape)\n",
    "print(\"Shape of y_val:\",y_val.shape)\n",
    "print(\"Shape of y_test:\",y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Sales : Sales    5773.099997\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "#calculate the average score of the train dataset\n",
    "mean_sales = y_train.mean()\n",
    "print(\"Average Sales :\",mean_sales)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE for Test Data: 2883.587604303215\n"
     ]
    }
   ],
   "source": [
    "#Calculate the Mean Absolute Error on the test dataset\n",
    "print(\"MAE for Test Data:\",abs(y_test - mean_sales).mean()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 732390 samples, validate on 81377 samples\n",
      "Epoch 1/10\n",
      "732390/732390 [==============================] - 34s 47us/step - loss: 948.1628 - mean_absolute_error: 948.1637 - val_loss: 835.0369 - val_mean_absolute_error: 835.0370\n",
      "Epoch 2/10\n",
      "732390/732390 [==============================] - 37s 50us/step - loss: 791.9101 - mean_absolute_error: 791.9103 - val_loss: 754.2362 - val_mean_absolute_error: 754.2365\n",
      "Epoch 3/10\n",
      "732390/732390 [==============================] - 33s 45us/step - loss: 750.4336 - mean_absolute_error: 750.4349 - val_loss: 742.2960 - val_mean_absolute_error: 742.2960\n",
      "Epoch 4/10\n",
      "732390/732390 [==============================] - 32s 44us/step - loss: 734.0721 - mean_absolute_error: 734.0743 - val_loss: 723.1142 - val_mean_absolute_error: 723.1154\n",
      "Epoch 5/10\n",
      "732390/732390 [==============================] - 34s 46us/step - loss: 722.5113 - mean_absolute_error: 722.5114 - val_loss: 721.4653 - val_mean_absolute_error: 721.4648\n",
      "Epoch 6/10\n",
      "732390/732390 [==============================] - 29s 40us/step - loss: 714.1321 - mean_absolute_error: 714.1317 - val_loss: 711.9425 - val_mean_absolute_error: 711.9423\n",
      "Epoch 7/10\n",
      "732390/732390 [==============================] - 32s 44us/step - loss: 708.2887 - mean_absolute_error: 708.2886 - val_loss: 704.7868 - val_mean_absolute_error: 704.7873\n",
      "Epoch 8/10\n",
      "732390/732390 [==============================] - 28s 38us/step - loss: 702.6079 - mean_absolute_error: 702.6085 - val_loss: 700.5882 - val_mean_absolute_error: 700.5882\n",
      "Epoch 9/10\n",
      "732390/732390 [==============================] - 20s 27us/step - loss: 698.1650 - mean_absolute_error: 698.1658 - val_loss: 696.0529 - val_mean_absolute_error: 696.0532\n",
      "Epoch 10/10\n",
      "732390/732390 [==============================] - 28s 39us/step - loss: 693.3573 - mean_absolute_error: 693.3558 - val_loss: 704.5288 - val_mean_absolute_error: 704.5290\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.callbacks.History at 0x1bf15602438>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create neural network\n",
    "import tensorflow as tf\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Dense(150, input_dim=44, activation = 'relu'))\n",
    "model.add(Dense(1, activation='linear'))\n",
    "\n",
    "#Config the model\n",
    "model.compile(optimizer = 'adam', loss = 'mean_absolute_error', metrics = ['mean_absolute_error'])\n",
    "\n",
    "#train model\n",
    "model.fit(x_train.values,y_train.values, validation_data=\n",
    "(x_val,y_val),epochs=10,batch_size=64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "203442/203442 [==============================] - 7s 33us/step\n",
      "Metric  loss : 699.64\n",
      "Metric  mean_absolute_error : 699.64\n"
     ]
    }
   ],
   "source": [
    "#Use the model's evaluate method to predict and evaluate the test datasets\n",
    "result = model.evaluate(x_test.values,y_test.values)\n",
    "#Print the results\n",
    "for i in range(len(model.metrics_names)):\n",
    "    print(\"Metric \",model.metrics_names[i],\":\",str(round(result\n",
    "    [i],2)))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Improving the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Dense(150, input_dim = 44, activation = 'relu'))\n",
    "model.add(Dense(150, activation = 'relu'))\n",
    "model.add(Dense(150, activation = 'relu'))\n",
    "model.add(Dense(1, activation = 'linear'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 732390 samples, validate on 81377 samples\n",
      "Epoch 1/10\n",
      "732390/732390 [==============================] - 54s 74us/step - loss: 1733944.6244 - mean_absolute_error: 857.3345 - val_loss: 1356551.8931 - val_mean_absolute_error: 812.6385\n",
      "Epoch 2/10\n",
      "732390/732390 [==============================] - 50s 68us/step - loss: 1177917.8269 - mean_absolute_error: 732.9675 - val_loss: 1031418.8416 - val_mean_absolute_error: 689.8808\n",
      "Epoch 3/10\n",
      "732390/732390 [==============================] - 48s 66us/step - loss: 1088930.9012 - mean_absolute_error: 704.9576 - val_loss: 1052102.7434 - val_mean_absolute_error: 706.0944\n",
      "Epoch 4/10\n",
      "732390/732390 [==============================] - 50s 68us/step - loss: 1024457.9003 - mean_absolute_error: 683.8555 - val_loss: 963571.5504 - val_mean_absolute_error: 664.2906\n",
      "Epoch 5/10\n",
      "732390/732390 [==============================] - 51s 70us/step - loss: 974840.0129 - mean_absolute_error: 665.2380 - val_loss: 1081547.8164 - val_mean_absolute_error: 705.3688\n",
      "Epoch 6/10\n",
      "732390/732390 [==============================] - 52s 71us/step - loss: 928377.6168 - mean_absolute_error: 648.0181 - val_loss: 846846.4200 - val_mean_absolute_error: 620.5476\n",
      "Epoch 7/10\n",
      "732390/732390 [==============================] - 55s 75us/step - loss: 888617.3011 - mean_absolute_error: 632.1281 - val_loss: 817967.6462 - val_mean_absolute_error: 614.1830\n",
      "Epoch 8/10\n",
      "732390/732390 [==============================] - 51s 70us/step - loss: 858597.0294 - mean_absolute_error: 619.9424 - val_loss: 826579.3083 - val_mean_absolute_error: 617.8900\n",
      "Epoch 9/10\n",
      "732390/732390 [==============================] - 56s 77us/step - loss: 827353.2997 - mean_absolute_error: 607.1236 - val_loss: 811928.5096 - val_mean_absolute_error: 601.4788\n",
      "Epoch 10/10\n",
      "732390/732390 [==============================] - 53s 72us/step - loss: 792605.2739 - mean_absolute_error: 592.1423 - val_loss: 785277.1520 - val_mean_absolute_error: 595.2821\n",
      "Metric  loss : 699.64\n",
      "Metric  mean_absolute_error : 699.64\n"
     ]
    }
   ],
   "source": [
    "model.compile(optimizer = 'adam', loss='mean_squared_error', metrics=['mean_absolute_error'])\n",
    "\n",
    "history = model.fit(x_train,y_train, validation_data=(x_val,y_val),epochs=10,batch_size=64)\n",
    "\n",
    "result = model.evaluate(x_test,y_test)\n",
    "for i in range(len(model.metrics_names)):\n",
    "    print(\"Metric \",model.metrics_names[i],\":\",str(round(result[i],2)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ِDeeper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Dense(150, input_dim = 44, activation = 'relu'))\n",
    "model.add(Dense(150, activation = 'relu'))\n",
    "model.add(Dense(150, activation = 'relu'))\n",
    "model.add(Dense(150, activation = 'relu'))\n",
    "model.add(Dense(150, activation = 'relu'))\n",
    "model.add(Dense(1, activation = 'linear'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 732390 samples, validate on 81377 samples\n",
      "Epoch 1/15\n",
      "732390/732390 [==============================] - 70s 96us/step - loss: 1732628.8046 - mean_absolute_error: 860.5645 - val_loss: 1247248.9992 - val_mean_absolute_error: 760.6575\n",
      "Epoch 2/15\n",
      "732390/732390 [==============================] - 69s 94us/step - loss: 1167721.4817 - mean_absolute_error: 727.0822 - val_loss: 1027989.5150 - val_mean_absolute_error: 689.7168\n",
      "Epoch 3/15\n",
      "732390/732390 [==============================] - 70s 96us/step - loss: 1078960.6831 - mean_absolute_error: 698.6807 - val_loss: 1013892.6132 - val_mean_absolute_error: 677.9429\n",
      "Epoch 4/15\n",
      "732390/732390 [==============================] - 70s 95us/step - loss: 1019207.9471 - mean_absolute_error: 679.2617 - val_loss: 948261.5343 - val_mean_absolute_error: 668.0812\n",
      "Epoch 5/15\n",
      "732390/732390 [==============================] - 75s 103us/step - loss: 969129.8570 - mean_absolute_error: 661.2010 - val_loss: 878984.3784 - val_mean_absolute_error: 635.5566\n",
      "Epoch 6/15\n",
      "732390/732390 [==============================] - 75s 103us/step - loss: 925178.9751 - mean_absolute_error: 643.9623 - val_loss: 962365.9531 - val_mean_absolute_error: 652.1407\n",
      "Epoch 7/15\n",
      "732390/732390 [==============================] - 68s 93us/step - loss: 874597.3726 - mean_absolute_error: 623.9908 - val_loss: 794084.9242 - val_mean_absolute_error: 596.1485\n",
      "Epoch 8/15\n",
      "732390/732390 [==============================] - 67s 91us/step - loss: 831282.5335 - mean_absolute_error: 605.9529 - val_loss: 785577.7813 - val_mean_absolute_error: 595.7198\n",
      "Epoch 9/15\n",
      "732390/732390 [==============================] - 62s 85us/step - loss: 800679.3004 - mean_absolute_error: 592.2930 - val_loss: 880746.1156 - val_mean_absolute_error: 609.0443\n",
      "Epoch 10/15\n",
      "732390/732390 [==============================] - 58s 80us/step - loss: 772822.0462 - mean_absolute_error: 579.7277 - val_loss: 756096.7342 - val_mean_absolute_error: 571.7283\n",
      "Epoch 11/15\n",
      "732390/732390 [==============================] - 58s 79us/step - loss: 748561.7224 - mean_absolute_error: 568.7580 - val_loss: 751879.9016 - val_mean_absolute_error: 582.3527\n",
      "Epoch 12/15\n",
      "732390/732390 [==============================] - 63s 87us/step - loss: 719100.0673 - mean_absolute_error: 555.4635 - val_loss: 679004.5121 - val_mean_absolute_error: 539.8350\n",
      "Epoch 13/15\n",
      "732390/732390 [==============================] - 66s 90us/step - loss: 699571.3904 - mean_absolute_error: 546.9817 - val_loss: 654500.6193 - val_mean_absolute_error: 529.7697\n",
      "Epoch 14/15\n",
      "732390/732390 [==============================] - 70s 95us/step - loss: 679679.9513 - mean_absolute_error: 537.4437 - val_loss: 631288.7966 - val_mean_absolute_error: 515.8860\n",
      "Epoch 15/15\n",
      "732390/732390 [==============================] - 68s 93us/step - loss: 661115.5343 - mean_absolute_error: 529.1739 - val_loss: 639436.1201 - val_mean_absolute_error: 530.3476\n",
      "203442/203442 [==============================] - 10s 49us/step\n",
      "Metric  loss : 631596.54\n",
      "Metric  mean_absolute_error : 525.99\n"
     ]
    }
   ],
   "source": [
    "model.compile(optimizer = 'adam', loss = 'mean_squared_error', metrics = ['mean_absolute_error'])\n",
    "model.fit(x_train,y_train, validation_data=(x_val,y_val),epochs=15,batch_size=64)\n",
    "\n",
    "result = model.evaluate(x_test,y_test)\n",
    "for i in range(len(model.metrics_names)):\n",
    "    print(\"Metric \",model.metrics_names[i],\":\",str(round(result\n",
    "    [i],2)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### and deeper .."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 732390 samples, validate on 81377 samples\n",
      "Epoch 1/15\n",
      "732390/732390 [==============================] - 81s 110us/step - loss: 1633209.9994 - mean_absolute_error: 844.3065 - val_loss: 1400060.8674 - val_mean_absolute_error: 822.6415\n",
      "Epoch 2/15\n",
      "732390/732390 [==============================] - 75s 102us/step - loss: 1180868.5659 - mean_absolute_error: 730.7925 - val_loss: 1042145.4379 - val_mean_absolute_error: 690.7180\n",
      "Epoch 3/15\n",
      "732390/732390 [==============================] - 75s 103us/step - loss: 1099054.1200 - mean_absolute_error: 703.9016 - val_loss: 978068.7457 - val_mean_absolute_error: 668.0012\n",
      "Epoch 4/15\n",
      "732390/732390 [==============================] - 75s 103us/step - loss: 1030454.7747 - mean_absolute_error: 682.2480 - val_loss: 994580.9191 - val_mean_absolute_error: 666.7988\n",
      "Epoch 5/15\n",
      "732390/732390 [==============================] - 75s 103us/step - loss: 974949.0403 - mean_absolute_error: 662.0288 - val_loss: 957144.5763 - val_mean_absolute_error: 651.6049\n",
      "Epoch 6/15\n",
      "732390/732390 [==============================] - 77s 105us/step - loss: 922784.5411 - mean_absolute_error: 642.6546 - val_loss: 842339.5291 - val_mean_absolute_error: 626.7411\n",
      "Epoch 7/15\n",
      "732390/732390 [==============================] - 75s 102us/step - loss: 867960.1078 - mean_absolute_error: 621.0692 - val_loss: 767173.0841 - val_mean_absolute_error: 588.1729\n",
      "Epoch 8/15\n",
      "732390/732390 [==============================] - 73s 100us/step - loss: 819291.9342 - mean_absolute_error: 600.6653 - val_loss: 899730.5735 - val_mean_absolute_error: 646.4858\n",
      "Epoch 9/15\n",
      "732390/732390 [==============================] - 81s 111us/step - loss: 782766.8235 - mean_absolute_error: 584.4003 - val_loss: 727754.2205 - val_mean_absolute_error: 569.3752\n",
      "Epoch 10/15\n",
      "732390/732390 [==============================] - 73s 100us/step - loss: 746399.3877 - mean_absolute_error: 568.0565 - val_loss: 687024.8890 - val_mean_absolute_error: 546.6749\n",
      "Epoch 11/15\n",
      "732390/732390 [==============================] - 71s 97us/step - loss: 720896.1369 - mean_absolute_error: 555.8091 - val_loss: 656058.5749 - val_mean_absolute_error: 533.1401\n",
      "Epoch 12/15\n",
      "732390/732390 [==============================] - 77s 106us/step - loss: 685666.0141 - mean_absolute_error: 539.7537 - val_loss: 715127.8902 - val_mean_absolute_error: 561.7987\n",
      "Epoch 13/15\n",
      "732390/732390 [==============================] - 72s 98us/step - loss: 670059.2083 - mean_absolute_error: 532.4432 - val_loss: 663718.2957 - val_mean_absolute_error: 533.8151\n",
      "Epoch 14/15\n",
      "732390/732390 [==============================] - 79s 108us/step - loss: 636808.0199 - mean_absolute_error: 517.4086 - val_loss: 602481.4206 - val_mean_absolute_error: 507.4288\n",
      "Epoch 15/15\n",
      "732390/732390 [==============================] - 73s 99us/step - loss: 614388.1181 - mean_absolute_error: 506.9219 - val_loss: 628233.0542 - val_mean_absolute_error: 523.6178\n",
      "203442/203442 [==============================] - 7s 36us/step\n",
      "Metric  loss : 629187.47\n",
      "Metric  mean_absolute_error : 521.66\n"
     ]
    }
   ],
   "source": [
    "from keras.callbacks import History\n",
    "history = History()\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Dense(350,input_dim = 44,activation=\"relu\"))\n",
    "model.add(Dense(350,activation=\"relu\"))\n",
    "model.add(Dense(350,activation=\"relu\"))\n",
    "model.add(Dense(350,activation=\"relu\"))\n",
    "model.add(Dense(350,activation=\"relu\"))\n",
    "model.add(Dense(1,activation = \"linear\"))\n",
    "\n",
    "model.compile(optimizer='adam',loss=\"mean_squared_error\",metrics=[\"mean_absolute_error\"])\n",
    "              \n",
    "model.fit(x_train,y_train, validation_data=(x_val,y_val),\n",
    "epochs=15,batch_size=64,callbacks=[history])\n",
    "result = model.evaluate(x_test,y_test)\n",
    "for i in range(len(model.metrics_names)):\n",
    "    print(\"Metric \",model.metrics_names[i],\":\",str(round(result\n",
    "    [i],2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(history.history['loss'])\n",
    "plt.plot(history.history['val_loss'])\n",
    "plt.title(\"Model's Training & Validation loss across epochs\")\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend(['Train', 'Validation'], loc='upper right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Actual Sales  Predicted Sales\n",
      "115563             0         1.036706\n",
      "832654             0         1.036706\n",
      "769112          2933      2997.852051\n",
      "350588          8602      7103.434570\n",
      "141556          6975      6272.821777\n",
      "84435           9239      9641.497070\n",
      "53018              0         1.036706\n",
      "262419             0         1.036706\n",
      "702267          5885      5772.460449\n",
      "981431             0         1.036706\n",
      "MSE : 629187.4754699777\n",
      "MAE : 521.6593970375192\n"
     ]
    }
   ],
   "source": [
    "#Manually predicting from the model, instead of using model's evaluate function\n",
    "y_test[\"Prediction\"] = model.predict(x_test)\n",
    "y_test.columns = [\"Actual Sales\",\"Predicted Sales\"]\n",
    "print(y_test.head(10))\n",
    "\n",
    "#Manually predicting from the model, instead of using model's evaluate function\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
    "print(\"MSE :\",mean_squared_error(y_test[\"Actual Sales\"].\n",
    "values,y_test[\"Predicted Sales\"].values))\n",
    "print(\"MAE :\",mean_absolute_error(y_test[\"Actual Sales\"].\n",
    "values,y_test[\"Predicted Sales\"].values))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}